diff --git a/.env.example b/.env.example index a63a9b4b1..2725e3b67 100644 --- a/.env.example +++ b/.env.example @@ -4,6 +4,19 @@ # Do not commit .env file to git # Do not change .env.example file +# Config directory +# Directory where files, logs and database will be stored +# Example: LANGFLOW_CONFIG_DIR=~/.langflow +LANGFLOW_CONFIG_DIR= + +# Save database in the config directory +# Values: true, false +# If false, the database will be saved in Langflow's root directory +# This means that the database will be deleted when Langflow is uninstalled +# and that the database will not be shared between different virtual environments +# Example: LANGFLOW_SAVE_DB_IN_CONFIG_DIR=true +LANGFLOW_SAVE_DB_IN_CONFIG_DIR= + # Database URL # Postgres example: LANGFLOW_DATABASE_URL=postgresql://postgres:postgres@localhost:5432/langflow # SQLite example: @@ -56,7 +69,6 @@ LANGFLOW_REMOVE_API_KEYS= # LANGFLOW_REDIS_CACHE_EXPIRE (default: 3600) LANGFLOW_CACHE_TYPE= - # Set AUTO_LOGIN to false if you want to disable auto login # and use the login form to login. LANGFLOW_SUPERUSER and LANGFLOW_SUPERUSER_PASSWORD # must be set if AUTO_LOGIN is set to false diff --git a/.eslintrc.json b/.eslintrc.json new file mode 100644 index 000000000..fc12c18c2 --- /dev/null +++ b/.eslintrc.json @@ -0,0 +1,90 @@ +{ + "extends": [ + "eslint:recommended", + "plugin:react/recommended", + "plugin:prettier/recommended" + ], + "plugins": [ + "react", + "import-helpers", + "prettier" + ], + "parser": "@typescript-eslint/parser", + "parserOptions": { + "project": [ + "./tsconfig.node.json", + "./tsconfig.json" + ], + "extraFileExtensions:": [ + ".mdx" + ], + "extensions:": [ + ".mdx" + ] + }, + "env": { + "browser": true, + "es2021": true + }, + "settings": { + "react": { + "version": "detect" + } + }, + "rules": { + "no-console": "warn", + "no-self-assign": "warn", + "no-self-compare": "warn", + "complexity": [ + "error", + { + "max": 15 + } + ], + "indent": [ + "error", + 2, + { + "SwitchCase": 1 + } + ], + "no-dupe-keys": "error", + "no-invalid-regexp": "error", + "no-undef": "error", + "no-return-assign": "error", + "no-redeclare": "error", + "no-empty": "error", + "no-await-in-loop": "error", + "react/react-in-jsx-scope": 0, + "node/exports-style": [ + "error", + "module.exports" + ], + "node/file-extension-in-import": [ + "error", + "always" + ], + "node/prefer-global/buffer": [ + "error", + "always" + ], + "node/prefer-global/console": [ + "error", + "always" + ], + "node/prefer-global/process": [ + "error", + "always" + ], + "node/prefer-global/url-search-params": [ + "error", + "always" + ], + "node/prefer-global/url": [ + "error", + "always" + ], + "node/prefer-promises/dns": "error", + "node/prefer-promises/fs": "error" + } +} diff --git a/.github/workflows/deploy_gh-pages.yml b/.github/workflows/deploy_gh-pages.yml index aec8a39c8..9aebacda9 100644 --- a/.github/workflows/deploy_gh-pages.yml +++ b/.github/workflows/deploy_gh-pages.yml @@ -27,7 +27,7 @@ jobs: # Popular action to deploy to GitHub Pages: # Docs: https://github.com/peaceiris/actions-gh-pages#%EF%B8%8F-docusaurus - name: Deploy to GitHub Pages - uses: peaceiris/actions-gh-pages@v3 + uses: peaceiris/actions-gh-pages@v4 with: github_token: ${{ secrets.GITHUB_TOKEN }} # Build output to publish to the `gh-pages` branch: diff --git a/.github/workflows/lint.yml b/.github/workflows/lint.yml index e1b427322..3c5898369 100644 --- a/.github/workflows/lint.yml +++ b/.github/workflows/lint.yml @@ -22,8 +22,9 @@ jobs: strategy: matrix: python-version: - - "3.10" + - "3.12" - "3.11" + - "3.10" steps: - uses: actions/checkout@v4 - name: Set up Python ${{ matrix.python-version }} + Poetry ${{ env.POETRY_VERSION }} diff --git a/.github/workflows/pre-release-base.yml b/.github/workflows/pre-release-base.yml index e0da58777..cbcfe3ad6 100644 --- a/.github/workflows/pre-release-base.yml +++ b/.github/workflows/pre-release-base.yml @@ -74,4 +74,4 @@ jobs: push: true file: ./build_and_push_base.Dockerfile tags: | - logspace/langflow:base-${{ needs.release.outputs.version }} + langflowai/langflow:base-${{ needs.release.outputs.version }} diff --git a/.github/workflows/pre-release-langflow.yml b/.github/workflows/pre-release-langflow.yml index 116c2d7e6..5dcd69617 100644 --- a/.github/workflows/pre-release-langflow.yml +++ b/.github/workflows/pre-release-langflow.yml @@ -53,7 +53,7 @@ jobs: run: | make publish main=true - name: Upload Artifact - uses: actions/upload-artifact@v2 + uses: actions/upload-artifact@v4 with: name: dist path: dist @@ -63,6 +63,7 @@ jobs: runs-on: ubuntu-latest needs: release steps: + - uses: actions/checkout@v4 - name: Set up QEMU uses: docker/setup-qemu-action@v3 - name: Set up Docker Buildx @@ -79,15 +80,15 @@ jobs: push: true file: ./build_and_push.Dockerfile tags: | - logspace/langflow:${{ needs.release.outputs.version }} - logspace/langflow:1.0-alpha + langflowai/langflow:${{ needs.release.outputs.version }} + langflowai/langflow:1.0-alpha create_release: name: Create Release runs-on: ubuntu-latest needs: [docker_build, release] steps: - - uses: actions/download-artifact@v2 + - uses: actions/download-artifact@v4 with: name: dist path: dist diff --git a/.github/workflows/python_test.yml b/.github/workflows/python_test.yml index b0cfee04e..dac1d4f6a 100644 --- a/.github/workflows/python_test.yml +++ b/.github/workflows/python_test.yml @@ -23,8 +23,9 @@ jobs: strategy: matrix: python-version: - - "3.10" + - "3.12" - "3.11" + - "3.10" env: OPENAI_API_KEY: ${{ secrets.OPENAI_API_KEY }} steps: diff --git a/.github/workflows/release.yml b/.github/workflows/release.yml index 5d522c230..c19a491c3 100644 --- a/.github/workflows/release.yml +++ b/.github/workflows/release.yml @@ -52,8 +52,8 @@ jobs: push: true file: ./build_and_push.Dockerfile tags: | - logspace/langflow:${{ steps.check-version.outputs.version }} - logspace/langflow:latest + langflowai/langflow:${{ steps.check-version.outputs.version }} + langflowai/langflow:latest - name: Create Release uses: ncipollo/release-action@v1 with: diff --git a/.github/workflows/typescript_test.yml b/.github/workflows/typescript_test.yml index 0cb3213d8..dc5bc061e 100644 --- a/.github/workflows/typescript_test.yml +++ b/.github/workflows/typescript_test.yml @@ -8,7 +8,7 @@ on: env: POETRY_VERSION: "1.8.2" NODE_VERSION: "21" - PYTHON_VERSION: "3.10" + PYTHON_VERSION: "3.12" # Define the directory where Playwright browsers will be installed. # Adjust if your project uses a different path. PLAYWRIGHT_BROWSERS_PATH: "ms-playwright" @@ -26,7 +26,7 @@ jobs: uses: actions/checkout@v4 - name: Setup Node.js - uses: actions/setup-node@v3 + uses: actions/setup-node@v4 id: setup-node with: node-version: ${{ env.NODE_VERSION }} @@ -99,7 +99,7 @@ jobs: uses: actions/checkout@v4 - name: Setup Node.js - uses: actions/setup-node@v3 + uses: actions/setup-node@v4 with: node-version: ${{ env.NODE_VERSION }} diff --git a/.pre-commit-config.yaml b/.pre-commit-config.yaml new file mode 100644 index 000000000..60505515a --- /dev/null +++ b/.pre-commit-config.yaml @@ -0,0 +1,44 @@ +fail_fast: true +repos: + - repo: https://github.com/pre-commit/mirrors-eslint + rev: "v9.1.1" + hooks: + - id: eslint + files: \.[jt]sx?$ # *.js, *.jsx, *.ts and *.tsx + types: [file] + args: ["--fix", "--no-warn-ignored"] + additional_dependencies: + - eslint@9.1.1 + - eslint-plugin-prettier + - eslint-config-prettier + - prettier + - eslint-plugin-react@latest + - repo: https://github.com/pre-commit/pre-commit-hooks + rev: v4.1.0 + hooks: + - id: check-case-conflict + - id: end-of-file-fixer + - id: mixed-line-ending + args: + - --fix=lf + - id: trailing-whitespace + - id: pretty-format-json + exclude: ^tsconfig.*.json + args: + - --autofix + - --indent=4 + - --no-sort-keys + - id: check-merge-conflict + - repo: https://github.com/astral-sh/ruff-pre-commit + # Ruff version. + rev: v0.4.2 + hooks: + # Run the linter. + - id: ruff + # Python + files: \.py$ + types: [file] + # Run the formatter. + - id: ruff-format + files: \.py$ + types: [file] diff --git a/Makefile b/Makefile index 6d279e62f..d056654f9 100644 --- a/Makefile +++ b/Makefile @@ -135,12 +135,13 @@ frontendc: install_backend: @echo 'Installing backend dependencies' @poetry install + @poetry run pre-commit install backend: @echo 'Setting up the environment' @make setup_env make install_backend - @-kill -9 `lsof -t -i:7860` + @-kill -9 $(lsof -t -i:7860) ifdef login @echo "Running backend autologin is $(login)"; LANGFLOW_AUTO_LOGIN=$(login) poetry run uvicorn --factory langflow.main:create_app --host 0.0.0.0 --port 7860 --reload --env-file .env --loop asyncio diff --git a/README.md b/README.md index d7c7014aa..a753ea830 100644 --- a/README.md +++ b/README.md @@ -100,6 +100,12 @@ Alternatively, click the **"Open in Cloud Shell"** button below to launch Google ## Deploy on Railway +Use this template to deploy Langflow 1.0 Preview on Railway: + +[![Deploy 1.0 Preview on Railway](https://railway.app/button.svg)](https://railway.app/template/UsJ1uB?referralCode=MnPSdg) + +Or this one to deploy Langflow 0.6.x: + [![Deploy on Railway](https://railway.app/button.svg)](https://railway.app/template/JMXEWp?referralCode=MnPSdg) ## Deploy on Render diff --git a/build_and_push.Dockerfile b/build_and_push.Dockerfile index f552dd695..e27599454 100644 --- a/build_and_push.Dockerfile +++ b/build_and_push.Dockerfile @@ -10,7 +10,7 @@ # PYTHON-BASE # Sets up all our shared environment variables ################################ -FROM python:3.10-slim as python-base +FROM python:3.12-slim as python-base # python ENV PYTHONUNBUFFERED=1 \ @@ -47,7 +47,7 @@ ENV PATH="$POETRY_HOME/bin:$VENV_PATH/bin:$PATH" # Used to build deps + create our virtual environment ################################ FROM python-base as builder-base -RUN + RUN apt-get update \ && apt-get install --no-install-recommends -y \ # deps for installing poetry @@ -55,7 +55,12 @@ RUN apt-get update \ # deps for building python deps build-essential \ # npm - npm + npm \ + # gcc + gcc \ + && apt-get clean \ + && rm -rf /var/lib/apt/lists/* + # Now we need to copy the entire project into the image @@ -70,15 +75,12 @@ RUN --mount=type=cache,target=/root/.cache \ RUN python -m pip install requests && cd ./scripts && python update_dependencies.py RUN $POETRY_HOME/bin/poetry lock RUN $POETRY_HOME/bin/poetry build -# Final stage for the application -FROM python-base as final # Copy virtual environment and built .tar.gz from builder base RUN useradd -m -u 1000 user -COPY --from=builder-base /app/dist/*.tar.gz ./ # Install the package from the .tar.gz -RUN python -m pip install *.tar.gz --user +RUN python -m pip install /app/dist/*.tar.gz --user + -WORKDIR /app ENTRYPOINT ["python", "-m", "langflow", "run"] CMD ["--host", "0.0.0.0", "--port", "7860"] \ No newline at end of file diff --git a/build_and_push_base.Dockerfile b/build_and_push_base.Dockerfile index db6d0cf58..cbcdbceee 100644 --- a/build_and_push_base.Dockerfile +++ b/build_and_push_base.Dockerfile @@ -10,7 +10,7 @@ # PYTHON-BASE # Sets up all our shared environment variables ################################ -FROM python:3.10-slim as python-base +FROM python:3.12-slim as python-base # python ENV PYTHONUNBUFFERED=1 \ @@ -55,6 +55,8 @@ RUN apt-get update \ build-essential \ # npm npm \ + # gcc + gcc \ && apt-get clean \ && rm -rf /var/lib/apt/lists/* @@ -78,15 +80,11 @@ RUN cp -r src/frontend/build src/backend/base/langflow/frontend RUN rm -rf src/backend/base/dist RUN cd src/backend/base && $POETRY_HOME/bin/poetry build --format sdist -# Final stage for the application -FROM python-base as final - # Copy virtual environment and built .tar.gz from builder base RUN useradd -m -u 1000 user -COPY --from=builder-base /app/src/backend/base/dist/*.tar.gz ./ # Install the package from the .tar.gz -RUN pip install *.tar.gz --user +RUN python -m pip install /app/dist/*.tar.gz --user + -WORKDIR /app ENTRYPOINT ["python", "-m", "langflow", "run"] CMD ["--host", "0.0.0.0", "--port", "7860"] \ No newline at end of file diff --git a/deploy/docker-compose.yml b/deploy/docker-compose.yml index c47871bf6..b1a5f4f06 100644 --- a/deploy/docker-compose.yml +++ b/deploy/docker-compose.yml @@ -69,7 +69,7 @@ services: - traefik.http.routers.${STACK_NAME?Variable not set}-proxy-http.middlewares=${STACK_NAME?Variable not set}-www-redirect,${STACK_NAME?Variable not set}-https-redirect backend: &backend - image: "logspace/langflow:latest" + image: "langflowai/langflow:latest" depends_on: - db - broker diff --git a/docker-compose.yml b/docker-compose.yml index cd7a3b338..987d198aa 100644 --- a/docker-compose.yml +++ b/docker-compose.yml @@ -13,7 +13,7 @@ services: - "7860:7860" volumes: - ./:/app - command: bash -c "uvicorn --factory langflow.main:create_app --host 0.0.0.0 --port 7860 --reload --loop asyncio", + command: bash -c "uvicorn --factory langflow.main:create_app --host 0.0.0.0 --port 7860 --reload --loop asyncio" networks: - langflow frontend: diff --git a/docker_example/Dockerfile b/docker_example/Dockerfile index 24b2b5dcc..e7f0b422a 100644 --- a/docker_example/Dockerfile +++ b/docker_example/Dockerfile @@ -1,3 +1,3 @@ -FROM logspace/langflow:latest +FROM langflowai/langflow:latest CMD ["python", "-m", "langflow", "run", "--host", "0.0.0.0", "--port", "7860"] diff --git a/docker_example/README.md b/docker_example/README.md index 9eadce1f3..c5d2adb26 100644 --- a/docker_example/README.md +++ b/docker_example/README.md @@ -35,7 +35,7 @@ The Docker Compose configuration spins up two services: `langflow` and `postgres ### LangFlow Service -The `langflow` service uses the `logspace/langflow:latest` Docker image and exposes port 7860. It depends on the `postgres` service. +The `langflow` service uses the `langflowai/langflow:latest` Docker image and exposes port 7860. It depends on the `postgres` service. Environment variables: @@ -62,4 +62,4 @@ Volumes: ## Switching to a Specific LangFlow Version -If you want to use a specific version of LangFlow, you can modify the `image` field under the `langflow` service in the Docker Compose file. For example, to use version 1.0-alpha, change `logspace/langflow:latest` to `logspace/langflow:1.0-alpha`. +If you want to use a specific version of LangFlow, you can modify the `image` field under the `langflow` service in the Docker Compose file. For example, to use version 1.0-alpha, change `langflowai/langflow:latest` to `langflowai/langflow:1.0-alpha`. diff --git a/docker_example/docker-compose.yml b/docker_example/docker-compose.yml index 9a9c435de..a8fddac71 100644 --- a/docker_example/docker-compose.yml +++ b/docker_example/docker-compose.yml @@ -2,7 +2,7 @@ version: "3.8" services: langflow: - image: logspace/langflow:latest + image: langflowai/langflow:latest ports: - "7860:7860" depends_on: diff --git a/docker_example/pre.Dockerfile b/docker_example/pre.Dockerfile index 40fd4ce6d..a72b72595 100644 --- a/docker_example/pre.Dockerfile +++ b/docker_example/pre.Dockerfile @@ -1,3 +1,3 @@ -FROM logspace/langflow:1.0-alpha +FROM langflowai/langflow:1.0-alpha CMD ["python", "-m", "langflow", "run", "--host", "0.0.0.0", "--port", "7860"] diff --git a/docker_example/pre.docker-compose.yml b/docker_example/pre.docker-compose.yml index 577f7bb3a..b2fa00903 100644 --- a/docker_example/pre.docker-compose.yml +++ b/docker_example/pre.docker-compose.yml @@ -2,7 +2,7 @@ version: "3.8" services: langflow: - image: logspace/langflow:1.0-alpha + image: langflowai/langflow:1.0-alpha ports: - "7860:7860" depends_on: diff --git a/docs/docs/guidelines/api.mdx b/docs/docs/administration/api.mdx similarity index 100% rename from docs/docs/guidelines/api.mdx rename to docs/docs/administration/api.mdx diff --git a/docs/docs/guidelines/chat-interface.mdx b/docs/docs/administration/chat-interface.mdx similarity index 100% rename from docs/docs/guidelines/chat-interface.mdx rename to docs/docs/administration/chat-interface.mdx diff --git a/docs/docs/guidelines/chat-widget.mdx b/docs/docs/administration/chat-widget.mdx similarity index 100% rename from docs/docs/guidelines/chat-widget.mdx rename to docs/docs/administration/chat-widget.mdx diff --git a/docs/docs/getting-started/cli.mdx b/docs/docs/administration/cli.mdx similarity index 100% rename from docs/docs/getting-started/cli.mdx rename to docs/docs/administration/cli.mdx diff --git a/docs/docs/guidelines/collection.mdx b/docs/docs/administration/collection.mdx similarity index 100% rename from docs/docs/guidelines/collection.mdx rename to docs/docs/administration/collection.mdx diff --git a/docs/docs/guidelines/components.mdx b/docs/docs/administration/components.mdx similarity index 100% rename from docs/docs/guidelines/components.mdx rename to docs/docs/administration/components.mdx diff --git a/docs/docs/guidelines/custom-component.mdx b/docs/docs/administration/custom-component.mdx similarity index 100% rename from docs/docs/guidelines/custom-component.mdx rename to docs/docs/administration/custom-component.mdx diff --git a/docs/docs/guidelines/features.mdx b/docs/docs/administration/features.mdx similarity index 100% rename from docs/docs/guidelines/features.mdx rename to docs/docs/administration/features.mdx diff --git a/docs/docs/administration/global-env.mdx b/docs/docs/administration/global-env.mdx new file mode 100644 index 000000000..fca7ec16a --- /dev/null +++ b/docs/docs/administration/global-env.mdx @@ -0,0 +1,45 @@ +import ZoomableImage from "/src/theme/ZoomableImage.js"; +import Admonition from "@theme/Admonition"; + +# Global environment variables + +Langflow 1.0 alpha includes the option to add **Global Environment Variables** for your application. + +## Add a global variable to a project + +In this example, you'll add the `openai_api_key` credential as a global environment variable to the **Basic Prompting** starter project. + +For more information on the starter flow, see [Basic prompting](../starter-projects/basic-prompting.mdx). + +1. From the Langflow dashboard, click **New Project**. +2. Select **Basic Prompting**. + +The **Basic Prompting** flow is created. + +3. To create an environment variable for the **OpenAI** component: + 1. In the **OpenAI API Key** field, click the **Globe** button, and then click **Add New Variable**. + 2. In the **Variable Name** field, enter `openai_api_key`. + 3. In the **Value** field, paste your OpenAI API Key (`sk-...`). + 4. For the variable **Type**, select **Credential**. + 5. In the **Apply to Fields** field, select **OpenAI API Key** to apply this variable to all fields named **OpenAI API Key**. + 6. Click **Save Variable**. + +You now have a `openai_api_key` global environment variable for your Langflow project. + + + You can also create global variables in **Settings** > **Variables and + Secrets**. + + + + +4. To view and manage your project's global environment variables, visit **Settings** > **Variables and Secrets**. + +For more on variables in HuggingFace Spaces, see [Managing Secrets](https://huggingface.co/docs/hub/spaces-overview#managing-secrets). diff --git a/docs/docs/guides/langfuse_integration.mdx b/docs/docs/administration/langfuse_integration.mdx similarity index 100% rename from docs/docs/guides/langfuse_integration.mdx rename to docs/docs/administration/langfuse_integration.mdx diff --git a/docs/docs/guidelines/login.mdx b/docs/docs/administration/login.mdx similarity index 100% rename from docs/docs/guidelines/login.mdx rename to docs/docs/administration/login.mdx diff --git a/docs/docs/administration/playground.mdx b/docs/docs/administration/playground.mdx new file mode 100644 index 000000000..57f3f2de0 --- /dev/null +++ b/docs/docs/administration/playground.mdx @@ -0,0 +1,29 @@ +import ThemedImage from "@theme/ThemedImage"; +import useBaseUrl from "@docusaurus/useBaseUrl"; +import ZoomableImage from "/src/theme/ZoomableImage.js"; +import ReactPlayer from "react-player"; +import Admonition from "@theme/Admonition"; + +# Playground + +In Langflow 1.0 alpha, the **Playground** replaces the **Interaction Panel**. + +The **Playground** provides an interface for interacting with flows without opening them in the flow editor. + +It even works for flows hosted on the Langflow store! + +As long as you have a flow's environment variables set, you can run it by clicking the **Playground** button. + +1. From your **Collections** page, click **Playground** in one of your flows. + The **Playground** window opens. + + + +2. Chat with your bot as you normally would, all without having to open the editor. diff --git a/docs/docs/guidelines/prompt-customization.mdx b/docs/docs/administration/prompt-customization.mdx similarity index 100% rename from docs/docs/guidelines/prompt-customization.mdx rename to docs/docs/administration/prompt-customization.mdx diff --git a/docs/docs/components/agents.mdx b/docs/docs/components/agents.mdx index c9d88f331..f8917e4e2 100644 --- a/docs/docs/components/agents.mdx +++ b/docs/docs/components/agents.mdx @@ -8,84 +8,83 @@ import Admonition from '@theme/Admonition';

- -Agents are components that use reasoning to make decisions and take actions, designed to autonomously perform tasks or provide services with some degree of “freedom” (or agency). They combine the power of LLM chaining processes with access to external tools such as APIs to interact with applications and accomplish tasks. +Agents are components that use reasoning to make decisions and take actions, designed to autonomously perform tasks or provide services with some degree of agency. LLM chains can only perform hardcoded sequences of actions, while agents use LLMs to reason through which actions to take, and in which order. --- ### AgentInitializer -The `AgentInitializer` component is a quick way to construct a zero-shot agent from a language model (LLM) and tools. +The `AgentInitializer` constructs a zero-shot agent from a language model (LLM) and additional tools. -**Params** +**Parameters**: -- **LLM:** Language Model to use in the `AgentInitializer`. -- **Memory:** Used to add memory functionality to an agent. It allows the agent to store and retrieve information from previous conversations. -- **Tools:** Tools that the agent will have access to. -- **Agent:** The type of agent to be instantiated. Current supported: `zero-shot-react-description`, `react-docstore`, `self-ask-with-search,conversational-react-description` and `openai-functions`. +- **LLM:** The language model used by the `AgentInitializer`. +- **Memory:** Enables memory functionality, allowing the agent to recall and use information from previous interactions. +- **Tools:** The tools available to the agent. +- **Agent:** Specifies the type of agent to instantiate. Currently supported types include `zero-shot-react-description`, `react-docstore`, `self-ask-with-search`, `conversational-react-description`, and `openai-functions`. --- ### CSVAgent -A `CSVAgent` is an agent that is designed to interact with CSV (Comma-Separated Values) files. CSV files are a common format for storing tabular data, where each row represents a record and each column represents a field. The CSV agent can perform various tasks, such as reading and writing CSV files, processing the data, and generating tables. It can extract information from the CSV file, manipulate the data, and perform operations like filtering, sorting, and aggregating. +The `CSVAgent` interacts with CSV (Comma-Separated Values) files, commonly used to store tabular data. Each row in a CSV file represents a record, and each column represents a field. The CSV agent can read and write CSV files, process data, and perform tasks such as filtering, sorting, and aggregating. -**Params** +**Parameters**: -- **LLM:** Language Model to use in the `CSVAgent`. -- **path:** The file path to the CSV data. +- **LLM:** The language model used by the `CSVAgent`. +- **Path:** The file path to the CSV data. --- ### JSONAgent -The `JSONAgent` deals with JSON (JavaScript Object Notation) data. Similar to the CSVAgent, it works with a language model (LLM) and a toolkit designed for JSON manipulation. This agent can iteratively explore a JSON blob to find the information needed to answer the user's question. It can list keys, get values, and navigate through the structure of the JSON object. +The `JSONAgent` manages JSON (JavaScript Object Notation) data. This agent, like the CSVAgent, uses a language model (LLM) and a toolkit for JSON manipulation. It can explore a JSON blob to extract needed information, list keys, retrieve values, and navigate through the JSON structure. -**Params** +**Parameters**: -- **LLM:** Language Model to use in the `JSONAgent`. -- **Toolkit:** Toolkit that the agent will have access to. +- **LLM:** The language model used by the `JSONAgent`. +- **Toolkit:** The toolkit available to the agent. --- ### SQLAgent -A `SQLAgent` is an agent that is designed to interact with SQL databases. It is capable of performing various tasks, such as querying the database, retrieving data, and executing SQL statements. The agent can provide information about the structure of the database, including the tables and their schemas. It can also perform operations like inserting, updating, and deleting data in the database. The SQL agent is a helpful tool for managing and working with SQL databases efficiently. +The `SQLAgent` interacts with SQL databases, capable of querying, retrieving data, and executing SQL statements. It provides insights into the database structure, including tables and schemas, and can perform operations such as insertions, updates, and deletions. -**Params** +**Parameters**: -- **LLM:** Language Model to use in the `SQLAgent`. -- **database_uri:** A string representing the connection URI for the SQL database. +- **LLM:** The language model used by the `SQLAgent`. +- **Database URI:** The connection URI for the SQL database. --- ### VectorStoreAgent -The `VectorStoreAgent` is designed to work with a vector store – a data structure used for storing and querying vector-based representations of data. The `VectorStoreAgent` can query the vector store to find relevant information based on user inputs. +The `VectorStoreAgent` operates with a vector store, which is a data structure for storing and querying vector-based data representations. This agent can query the vector store to find information relevant to user inputs. -**Params** +**Parameters**: -- **LLM:** Language Model to use in the `VectorStoreAgent`. -- **Vector Store Info:** `VectorStoreInfo` to use in the `VectorStoreAgent`. +- **LLM:** The language model used by the `VectorStoreAgent`. +- **Vector Store Info:** The `VectorStoreInfo` used by the agent. --- ### VectorStoreRouterAgent -The `VectorStoreRouterAgent` is a custom agent that takes a vector store router as input. It is typically used when there’s a need to retrieve information from multiple vector stores. These can be connected through a `VectorStoreRouterToolkit` and sent over to the `VectorStoreRouterAgent`. An agent configured with multiple vector stores can route queries to the appropriate store based on the context. +The `VectorStoreRouterAgent` is a custom agent that uses a vector store router. It is typically used to retrieve information from multiple vector stores connected through a `VectorStoreRouterToolkit`. -**Params** +**Parameters**: -- **LLM:** Language Model to use in the `VectorStoreRouterAgent`. -- **Vector Store Router Toolkit:** `VectorStoreRouterToolkit` to use in the `VectorStoreRouterAgent`. +- **LLM:** The language model used by the `VectorStoreRouterAgent`. +- **Vector Store Router Toolkit:** The toolkit used by the agent. --- ### ZeroShotAgent -The `ZeroShotAgent` is an agent that uses the ReAct framework to determine which tool to use based solely on the tool's description. It can be configured with any number of tools and requires a description for each tool. The agent is designed to be the most general-purpose action agent. It uses an `LLMChain` to determine which actions to take and in what order. +The `ZeroShotAgent` uses the ReAct framework to decide which tool to use based on the tool's description. It is the most general-purpose action agent, capable of determining the necessary actions and their sequence through an `LLMChain`. -**Params** +**Parameters**: -- **Allowed Tools:** Tools that the agent will have access to. -- **LLM Chain:** LLM Chain to be used by the agent. \ No newline at end of file +- **Allowed Tools:** The tools accessible to the agent. +- **LLM Chain:** The LLM Chain used by the agent. \ No newline at end of file diff --git a/docs/docs/components/chains.mdx b/docs/docs/components/chains.mdx index a79c4a97a..fd3b5bd5d 100644 --- a/docs/docs/components/chains.mdx +++ b/docs/docs/components/chains.mdx @@ -6,143 +6,65 @@ import Admonition from "@theme/Admonition"; # Chains -

- We appreciate your understanding as we polish our documentation – it may - contain some rough edges. Share your feedback or report issues to help us - improve! 🛠️📝 -

+

+ Thank you for your patience while we enhance our documentation. It may + have some imperfections. Share your feedback or report issues to help us + improve! 🛠️📝 +

-Chains, in the context of language models, refer to a series of calls made to a language model. It allows for the output of one call to be used as the input for another call. Different types of chains allow for different levels of complexity. Chains are useful for creating pipelines and executing specific scenarios. +Chains, in the context of language models, refer to a series of calls made to a language model. This approach allows for using the output of one call as the input for another. Different chain types facilitate varying complexity levels, making them useful for creating pipelines and executing specific scenarios. --- ### CombineDocsChain -The `CombineDocsChain` incorporates methods to combine or aggregate loaded documents for question-answering functionality. +`CombineDocsChain` includes methods to combine or aggregate loaded documents for question-answering functionality. - +Acts as a proxy for LangChain’s [documents](https://python.langchain.com/docs/modules/chains/document/) chains produced by the `load_qa_chain` function. -Works as a proxy of LangChain’s [documents](https://python.langchain.com/docs/modules/chains/document/) chains generated by the `load_qa_chain` function. - - - -**Params** +**Parameters**: - **LLM:** Language Model to use in the chain. -- **chain_type:** The chain type to be used. Each one of them applies a different “combination strategy”. - - - **stuff**: The stuff [documents](https://python.langchain.com/docs/modules/chains/document/stuff) chain (“stuff" as in "to stuff" or "to fill") is the most straightforward of _the_ document chains. It takes a list of documents, inserts them all into a prompt, and passes that prompt to an LLM. This chain is well-suited for applications where documents are small and only a few are passed in for most calls. - - **map_reduce**: The map-reduce [documents](https://python.langchain.com/docs/modules/chains/document/map_reduce) chain first applies an LLM chain to each document individually (the Map step), treating the chain output as a new document. It then passes all the new documents to a separate combined documents chain to get a single output (the Reduce step). It can optionally first compress or collapse the mapped documents to make sure that they fit in the combined documents chain (which will often pass them to an LLM). This compression step is performed recursively if necessary. - - **map_rerank**: The map re-rank [documents](https://python.langchain.com/docs/modules/chains/document/map_rerank) chain runs an initial prompt on each document that not only tries to complete a task but also gives a score for how certain it is in its answer. The highest-scoring response is returned. - - **refine**: The refine [documents](https://python.langchain.com/docs/modules/chains/document/refine) chain constructs a response by looping over the input documents and iteratively updating its answer. For each document, it passes all non-document inputs, the current document, and the latest intermediate answer to an LLM chain to get a new answer. - - Since the Refine chain only passes a single document to the LLM at a time, it is well-suited for tasks that require analyzing more documents than can fit in the model's context. The obvious tradeoff is that this chain will make far more LLM calls than, for example, the Stuff documents chain. There are also certain tasks that are difficult to accomplish iteratively. For example, the Refine chain can perform poorly when documents frequently cross-reference one another or when a task requires detailed information from many documents. +- **chain_type:** Type of chain to be used, each applying a different combination strategy: + - **stuff**: Most straightforward document chain. It takes a list of documents, inserts them all into a prompt, and passes that prompt to an LLM. Suitable for cases where documents are small and few. + - **map_reduce**: Applies an LLM to each document individually (the `Map` step), treating the output as a new document. It then combines these documents to get a single output (the `Reduce` step). Compression may occur to ensure documents fit in the final chain. + - **map_rerank**: Runs an initial prompt on each document to complete a task and score its certainty. Returns the highest-scoring response. + - **refine**: Iteratively updates its answer by looping over the input documents. Each document, along with the latest intermediate answer, is passed to an LLM to generate a new response. This method suits tasks requiring analysis of more documents than the model's context can handle, though it can be less effective for tasks requiring detailed cross-referencing or comprehensive information. --- ### ConversationChain -The `ConversationChain` is a straightforward chain for interactive conversations with a language model, making it ideal for chatbots or virtual assistants. It allows for dynamic conversations, question-answering, and complex dialogues. +`ConversationChain` facilitates dynamic, interactive conversations with a language model, ideal for chatbots or virtual assistants. -**Params** +**Parameters**: - **LLM:** Language Model to use in the chain. - **Memory:** Default memory store. -- **input_key:** Used to specify the key under which the user input will be stored in the conversation memory. It allows you to provide the user's input to the chain for processing and generating a response. -- **output_key:** Used to specify the key under which the generated response will be stored in the conversation memory. It allows you to retrieve the response using the specified key. -- **verbose:** This parameter is used to control the level of detail in the output of the chain. When set to True, it will print out some internal states of the chain while it is being run, which can be helpful for debugging and understanding the chain's behavior. If set to False, it will suppress the verbose output — defaults to `False`. +- **input_key:** Specifies the key under which user input is stored in the conversation memory, enabling the chain to process and generate responses. +- **output_key:** Specifies the key under which the generated response is stored, allowing retrieval of the response using this key. +- **verbose:** Controls the verbosity of the chain's output. Set to `True` to enable detailed internal state outputs, useful for debugging and understanding the chain's behavior. Defaults to `False`. --- ### ConversationalRetrievalChain -The `ConversationalRetrievalChain` extracts information and provides answers by combining document search and question-answering abilities. +`ConversationalRetrievalChain` combines document search with question-answering capabilities, extracting information and providing answers. - +A retriever finds documents based on a query but doesn’t store them; it returns the documents matching the query. -A retriever is a component that finds documents based on a query. It doesn't store the documents themselves, but it returns the ones that match the query. - - - -**Params** +**Parameters**: - **LLM:** Language Model to use in the chain. - **Memory:** Default memory store. - **Retriever:** The retriever used to fetch relevant documents. -- **chain_type:** The chain type to be used. Each one of them applies a different “combination strategy”. - - - **stuff**: The stuff [documents](https://python.langchain.com/docs/modules/chains/document/stuff) chain (“stuff" as in "to stuff" or "to fill") is the most straightforward of _the_ document chains. It takes a list of documents, inserts them all into a prompt, and passes that prompt to an LLM. This chain is well-suited for applications where documents are small and only a few are passed in for most calls. - - **map_reduce**: The map-reduce [documents](https://python.langchain.com/docs/modules/chains/document/map_reduce) chain first applies an LLM chain to each document individually (the Map step), treating the chain output as a new document. It then passes all the new documents to a separate combined documents chain to get a single output (the Reduce step). It can optionally first compress or collapse the mapped documents to make sure that they fit in the combined documents chain (which will often pass them to an LLM). This compression step is performed recursively if necessary. - - **map_rerank**: The map re-rank [documents](https://python.langchain.com/docs/modules/chains/document/map_rerank) chain runs an initial prompt on each document that not only tries to complete a task but also gives a score for how certain it is in its answer. The highest-scoring response is returned. - - **refine**: The refine [documents](https://python.langchain.com/docs/modules/chains/document/refine) chain constructs a response by looping over the input documents and iteratively updating its answer. For each document, it passes all non-document inputs, the current document, and the latest intermediate answer to an LLM chain to get a new answer. - - Since the Refine chain only passes a single document to the LLM at a time, it is well-suited for tasks that require analyzing more documents than can fit in the model's context. The obvious tradeoff is that this chain will make far more LLM calls than, for example, the Stuff documents chain. There are also certain tasks that are difficult to accomplish iteratively. For example, the Refine chain can perform poorly when documents frequently cross-reference one another or when a task requires detailed information from many documents. - -- **return_source_documents:** Used to specify whether or not to include the source documents that were used to answer the question in the output. When set to `True`, source documents will be included in the output along with the generated answer. This can be useful for providing additional context or references to the user — defaults to `True`. -- **verbose:** Whether or not to run in verbose mode. In verbose mode, intermediate logs will be printed to the console — defaults to `False`. +- **chain_type:** Type of chain to be used, each applying a different combination strategy: + - **stuff**: Inserts a list of documents into a prompt and passes it to an LLM. Suitable for cases where documents are small and few. + - **map_reduce**: Processes each document with an LLM separately, combines them for a single output. Compressions may occur to fit documents into the final chain. + - **map_rerank**: Scores responses based on certainty from each document, returns the highest. + - **refine**: Updates answers iteratively by looping through documents, passing each with intermediate answers to an LLM for a new response. This method is beneficial for tasks that involve extensive document analysis. +- **return_source_documents:** Specifies whether to include source documents used in the output. Useful for providing context or references to the user. Defaults to `True`. +- **verbose:** Controls verbosity of output. Set to `True` for detailed logs, useful for debugging. Defaults to `False`. --- - -### LLMChain - -The `LLMChain` is a straightforward chain that adds functionality around language models. It combines a prompt template with a language model. To use it, create input variables to format the prompt template. The formatted prompt is then sent to the language model, and the generated output is returned as the result of the `LLMChain`. - -**Params** - -- **LLM:** Language Model to use in the chain. -- **Memory:** Default memory store. -- **Prompt**: Prompt template object to use in the chain. -- **output_key:** This parameter is used to specify which key in the LLM output dictionary should be returned as the final output. By default, the `LLMChain` returns both the input and output key values — defaults to `text`. -- **verbose:** Whether or not to run in verbose mode. In verbose mode, intermediate logs will be printed to the console — defaults to `False`. - ---- - -### LLMMathChain - -The `LLMMathChain` combines a language model (LLM) and a math calculation component. It allows the user to input math problems and get the corresponding solutions. - -The `LLMMathChain` works by using the language model with an `LLMChain` to understand the input math problem and generate a math expression. It then passes this expression to the math component, which evaluates it and returns the result. - -**Params** - -- **LLM:** Language Model to use in the chain. -- **LLMChain:** LLM Chain to use in the chain. -- **Memory:** Default memory store. -- **input_key:** Used to specify the input value for the mathematical calculation. It allows you to provide the specific values or variables that you want to use in the calculation — defaults to `question`. -- **output_key:** Used to specify the key under which the output of the mathematical calculation will be stored. It allows you to retrieve the result of the calculation using the specified key — defaults to `answer`. -- **verbose:** Whether or not to run in verbose mode. In verbose mode, intermediate logs will be printed to the console — defaults to `False`. - ---- - -### RetrievalQA - -`RetrievalQA` is a chain used to find relevant documents or information to answer a given query. The retriever is responsible for returning the relevant documents based on the query, and the QA component then extracts the answer from those documents. The retrieval QA system combines the capabilities of both the retriever and the QA component to provide accurate and relevant answers to user queries. - - - -A retriever is a component that finds documents based on a query. It doesn't store the documents themselves, but it returns the ones that match the query. - - - -**Params** - -- **Combine Documents Chain:** Chain to use to combine the documents. -- **Memory:** Default memory store. -- **Retriever:** The retriever used to fetch relevant documents. -- **input_key:** This parameter is used to specify the key in the input data that contains the question. It is used to retrieve the question from the input data and pass it to the question-answering model for generating the answer — defaults to `query`. -- **output_key:** This parameter is used to specify the key in the output data where the generated answer will be stored. It is used to retrieve the answer from the output data after the question-answering model has generated it — defaults to `result`. -- **return_source_documents:** Used to specify whether or not to include the source documents that were used to answer the question in the output. When set to `True`, source documents will be included in the output along with the generated answer. This can be useful for providing additional context or references to the user — defaults to `True`. -- **verbose:** Whether or not to run in verbose mode. In verbose mode, intermediate logs will be printed to the console — defaults to `False`. - ---- - -### SQLDatabaseChain - -The `SQLDatabaseChain` finds answers to questions using a SQL database. It works by using the language model to understand the SQL query and generate the corresponding SQL code. It then passes the SQL code to the SQL database component, which executes the query on the database and returns the result. - -**Params** - -- **Db:** SQL Database to connect to. -- **LLM:** Language Model to use in the chain. -- **Prompt:** Prompt template to translate natural language to SQL. diff --git a/docs/docs/components/custom.mdx b/docs/docs/components/custom.mdx index bdf631314..828677310 100644 --- a/docs/docs/components/custom.mdx +++ b/docs/docs/components/custom.mdx @@ -2,114 +2,105 @@ import Admonition from "@theme/Admonition"; # Custom Components -Used to create a custom component, a special type of Langflow component that allows users to extend the functionality of the platform by creating their own reusable and configurable components from a Python script. - -To use a custom component, follow these steps: - -- Create a class that inherits from _`langflow.CustomComponent`_ and contains a _`build`_ method. -- Use arguments with [Type Annotations (or Type Hints)](https://docs.python.org/3/library/typing.html) of the _`build`_ method to create component fields. -- If applicable, use the _`build_config`_ method to customize how these fields look and behave. - - -For an in-depth explanation of custom components, their rules, and applications, make sure to read [Custom Component guidelines](../guidelines/custom-component). - + Read the [Custom Component Guidelines](../administration/custom-component) for detailed information on custom components. -**Params** +Custom components let you extend Langflow by creating reusable and configurable components from a Python script. -- **Code:** The Python code to define the component. +## Usage -## The CustomComponent Class +To create a custom component: -The CustomComponent class serves as the foundation for creating custom components. By inheriting this class, users can create new, configurable components, tailored to their specific requirements. +1. Define a class that inherits from `langflow.CustomComponent`. +2. Implement a `build` method in your class. +3. Use type annotations in the `build` method to define component fields. +4. Optionally, use the `build_config` method to customize field appearance and behavior. -**Methods** +**Parameters** -- **build**: This method is required within a Custom Component class. It defines the component's functionality and specifies how it processes input data to produce output data. This method is called when the component is built (i.e., when you click the _Build_ ⚡ button in the canvas). +- **Code:** The Python code that defines the component. - The type annotations of the _`build`_ instance method are used to create the fields of the component. +## CustomComponent Class - | Supported Types | - | --------------------------------------------------------- | - | _`str`_, _`int`_, _`float`_, _`bool`_, _`list`_, _`dict`_ | - | _`langflow.field_typing.NestedDict`_ | - | _`langflow.field_typing.Prompt`_ | - | _`langchain.chains.base.Chain`_ | - | _`langchain.PromptTemplate`_ | - | _`from langchain.schema.language_model import BaseLanguageModel`_ | - | _`langchain.Tool`_ | - | _`langchain.document_loaders.base.BaseLoader`_ | - | _`langchain.schema.Document`_ | - | _`langchain.text_splitters.TextSplitter`_ | - | _`langchain.vectorstores.base.VectorStore`_ | - | _`langchain.embeddings.base.Embeddings`_ | - | _`langchain.schema.BaseRetriever`_ | +This class is the foundation for creating custom components. It allows users to create new, configurable components tailored to their needs. - The difference between _`dict`_ and _`langflow.field_typing.NestedDict`_ is that one adds a simple key-value pair field, while the other opens a more robust dictionary editor. +### Methods - - To use the _`Prompt`_ type, you must also add _`**kwargs`_ to the _`build`_ method. This is because the _`Prompt`_ type passes new arbitrary keyword arguments to it. +**build:** This method is essential in a `CustomComponent` class. It defines the component's functionality and how it processes input data. The build method is invoked when you click the **Build** button on the canvas. - If you want to add the values of the variables to the template you defined, you must format the PromptTemplate inside the CustomComponent class. - +The following types are supported in the build method: +| Supported Types | +| --------------------------------------------------------- | +| _`str`_, _`int`_, _`float`_, _`bool`_, _`list`_, _`dict`_ | +| _`langflow.field_typing.NestedDict`_ | +| _`langflow.field_typing.Prompt`_ | +| _`langchain.chains.base.Chain`_ | +| _`langchain.PromptTemplate`_ | +| _`from langchain.schema.language_model import BaseLanguageModel`_ | +| _`langchain.Tool`_ | +| _`langchain.document_loaders.base.BaseLoader`_ | +| _`langchain.schema.Document`_ | +| _`langchain.text_splitters.TextSplitter`_ | +| _`langchain.vectorstores.base.VectorStore`_ | +| _`langchain.embeddings.base.Embeddings`_ | +| _`langchain.schema.BaseRetriever`_ | - - Unlike Langchain types, base Python types do not add a - [handle](../guidelines/components) to the field by default. To add handles, - use the _`input_types`_ key in the _`build_config`_ method. - - -- **build_config**: Used to define the configuration fields of the component (if applicable). It should always return a dictionary with specific keys representing the field names and corresponding configurations. This method is called when the code is processed (i.e., when you click _Check and Save_ in the code editor). It must follow the format described below: - - - Top-level keys are field names. - - Their values are can be of type _`langflow.field_typing.TemplateField`_ or _`dict`_. They specify the behavior of the generated fields. - - Below are the available keys used to configure component fields: - - | Key | Description | - | -------------------------- | --------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------- | - | _`is_list: bool`_ | If the field can be a list of values, meaning that the user can manually add more inputs to the same field. | - | _`options: List[str]`_ | When defined, the field becomes a dropdown menu where a list of strings defines the options to be displayed. If the _`value`_ attribute is set to one of the options, that option becomes default. For this parameter to work, _`field_type`_ should invariably be _`str`_. | - | _`multiline: bool`_ | Defines if a string field opens a text editor. Useful for longer texts. | - | _`input_types: List[str]`_ | Used when you want a _`str`_ field to have connectable handles. | - | _`display_name: str`_ | Defines the name of the field. | - | _`advanced: bool`_ | Hide the field in the canvas view (displayed component settings only). Useful when a field is for advanced users. | - | _`password: bool`_ | To mask the input text. Useful to hide sensitive text (e.g. API keys). | - | _`required: bool`_ | This is determined automatically but can be used to override the default behavior. | - | _`info: str`_ | Adds a tooltip to the field. | - | _`file_types: List[str]`_ | This is a requirement if the _`field_type`_ is _file_. Defines which file types will be accepted. For example, _json_, _yaml_ or _yml_. | - | _`range_spec: langflow.field_typing.RangeSpec`_ | This is a requirement if the _`field_type`_ is _`float`_. Defines the range of values accepted and the step size. If none is defined, the default is _`[-1, 1, 0.1]`_. | - | _`title_case: bool`_ | Formats the name of the field when _`display_name`_ is not defined. Set it to False to keep the name as you set it in the _`build`_ method. | - | _`refresh_button: bool`_ | If set to True a button will appear to the right of the field, and when clicked, it will call the _`update_build_config`_ method which takes in the _`build_config`_, the name of the field (_`field_name`_) and the latest value of the field (_`field_value`_). This is useful when you want to update the _`build_config`_ based on the value of the field. | - | _`real_time_refresh: bool`_ | If set to True, the _`update_build_config`_ method will be called every time the field value changes. | - | _`field_type: str`_ | You should never define this key. It is automatically set based on the type hint of the _`build`_ method. | - - - -By using the _`update_build_config`_ method, you can update the _`build_config`_ in whatever way you want based on the value of the field or not. +The difference between _`dict`_ and _`langflow.field_typing.NestedDict`_ is that one adds a simple key-value pair field, while the other opens a more robust dictionary editor. + + Use the `Prompt` type by adding **kwargs to the build method. + If you want to add the values of the variables to the template you defined, format the `PromptTemplate` inside the `CustomComponent` class. -- The CustomComponent class also provides helpful methods for specific tasks (e.g., to load and use other flows from the Langflow platform): + + Use base Python types without a handle by default. To add handles, use the `input_types` key in the `build_config` method. + - | Method Name | Description | - | -------------- | ------------------------------------------------------------------- | - | _`list_flows`_ | Returns a list of Flow objects with an _`id`_ and a _`name`_. | - | _`get_flow`_ | Returns a Flow object. Parameters are _`flow_name`_ or _`flow_id`_. | - | _`load_flow`_ | Loads a flow from a given _`id`_. | +**build_config:** Defines the configuration fields of the component. This method returns a dictionary where each key represents a field name and each value defines the field's behavior. -- Useful attributes: +Supported keys for configuring fields: - | Attribute Name | Description | - | -------------- | ----------------------------------------------------------------------------- | - | _`status`_ | Displays the value it receives in the _`build`_ method. Useful for debugging. | - | _`field_order`_ | Defines the order the fields will be displayed in the canvas. | - | _`icon`_ | Defines the emoji (for example, _`:rocket:`_) that will be displayed in the canvas. | +| Key | Description | +| --------------------- | --------------------------------------------------- | +| `is_list` | Boolean indicating if the field can hold multiple values. | +| `options` | Dropdown menu options. | +| `multiline` | Boolean indicating if a field allows multiline input. | +| `input_types` | Allows connection handles for string fields. | +| `display_name` | Field name displayed in the UI. | +| `advanced` | Hides the field in the default UI view. | +| `password` | Masks input, useful for sensitive data. | +| `required` | Overrides the default behavior to make a field mandatory. | +| `info` | Tooltip for the field. | +| `file_types` | Accepted file types, useful for file fields. | +| `range_spec` | Defines valid ranges for float fields. | +| `title_case` | Boolean that controls field name capitalization. | +| `refresh_button` | Adds a refresh button that updates field values. | +| `real_time_refresh` | Updates the configuration as field values change. | +| `field_type` | Automatically set based on the build method's type hint. | - + + Use the `update_build_config` method to dynamically update configurations based on field values. + +## Additional methods and attributes + +The `CustomComponent` class also provides helpful methods for specific tasks (e.g., to load and use other flows from the Langflow platform): + +### Methods + +- `list_flows`: Lists available flows. +- `get_flow`: Retrieves a specific flow by name or ID. +- `load_flow`: Loads a flow by ID. + +### Attributes + +- `status`: Shows values from the `build` method, useful for debugging. +- `field_order`: Controls the display order of fields. +- `icon`: Sets the canvas display icon. + + Check out the [FlowRunner](../examples/flow-runner) example to understand how to call a flow from a custom component. + - diff --git a/docs/docs/components/data.mdx b/docs/docs/components/data.mdx index 94620d047..ca81bd225 100644 --- a/docs/docs/components/data.mdx +++ b/docs/docs/components/data.mdx @@ -2,86 +2,59 @@ import Admonition from '@theme/Admonition'; # Data -### API Request +## API Request -This component makes HTTP requests to the specified URLs. +This component sends HTTP requests to the specified URLs. -**Params** +Use this component to interact with external APIs or services and retrieve data. Ensure that the URLs are valid and that you configure the method, headers, body, and timeout correctly. -- **URLs:** URLs to make requests to. -- **Method:** The HTTP method to use. -- **Headers:** The headers to send with the request. -- **Body:** The body to send with the request (for POST, PATCH, PUT). -- **Timeout:** The timeout to use for the request. +**Parameters:** - -

- Use this component to make HTTP requests to external APIs or services and retrieve data. -

-

- Ensure that you provide valid URLs and configure the method, headers, body, and timeout appropriately. -

-
+- **URLs:** The URLs to target. +- **Method:** The HTTP method, such as GET or POST. +- **Headers:** The headers to include with the request. +- **Body:** The data to send with the request (for methods like POST, PATCH, PUT). +- **Timeout:** The maximum time to wait for a response. --- -### Directory +## Directory -This component recursively loads files from a directory. +This component recursively retrieves files from a specified directory. -**Params** +Use this component to retrieve various file types, such as text or JSON files, from a directory. Make sure to provide the correct path and configure the other parameters as needed. -- **Path:** The path to the directory. -- **Types:** File types to load. Leave empty to load all types. -- **Depth:** Depth to search for files. -- **Max Concurrency:** The maximum number of concurrent file loading operations. -- **Load Hidden:** If true, hidden files will be loaded. -- **Recursive:** If true, the search will be recursive. -- **Silent Errors:** If true, errors will not raise an exception. -- **Use Multithreading:** If true, use multithreading for loading files. - - -

- Use this component to load files from a directory, such as text files, JSON files, etc. -

-

- Ensure that you provide the correct path to the directory and configure other parameters as needed. -

-
+**Parameters:** +- **Path:** The directory path. +- **Types:** The types of files to retrieve. Leave this blank to retrieve all file types. +- **Depth:** The level of directory depth to search. +- **Max Concurrency:** The maximum number of simultaneous file loading operations. +- **Load Hidden:** Set to true to include hidden files. +- **Recursive:** Set to true to enable recursive search. +- **Silent Errors:** Set to true to suppress exceptions on errors. +- **Use Multithreading:** Set to true to use multithreading in file loading. --- -### File +## File -This component loads a generic file. +This component loads a file. -**Params** +Use this component to load files, such as text or JSON files. Ensure you specify the correct path and configure other parameters as necessary. -- **Path:** The path to the file. -- **Silent Errors:** If true, errors will not raise an exception. +**Parameters:** - -

- Use this component to load a generic file, such as a text file, JSON file, etc. -

-

- Ensure that you provide the correct path to the file and configure other parameters as needed. -

-
+- **Path:** The file path. +- **Silent Errors:** Set to true to prevent exceptions on errors. --- -### URL +## URL -This component fetches content from one or more URLs. +This component retrieves content from specified URLs. -**Params** +Ensure the URLs are valid and adjust other parameters as needed. +**Parameters:** -- **URLs:** The URLs from which content will be fetched. - - -

- Ensure that you provide valid URLs and configure other parameters as needed. -

-
+- **URLs:** The URLs to retrieve content from. diff --git a/docs/docs/components/embeddings.mdx b/docs/docs/components/embeddings.mdx index 2d401bbf6..4978ff354 100644 --- a/docs/docs/components/embeddings.mdx +++ b/docs/docs/components/embeddings.mdx @@ -1,144 +1,116 @@ -import Admonition from "@theme/Admonition"; - # Embeddings -### Amazon Bedrock Embeddings +## Amazon Bedrock Embeddings -Used to load [Amazon Bedrocks’s](https://aws.amazon.com/bedrock/) embedding models. +Used to load embedding models from [Amazon Bedrock](https://aws.amazon.com/bedrock/). -**Params** +| **Parameter** | **Type** | **Description** | **Default** | +|-----------------------------|-------------------|------------------------------------------------------------------------------------------------------------------------------------|-------------| +| `credentials_profile_name` | `str` | Name of the AWS credentials profile in ~/.aws/credentials or ~/.aws/config, which has access keys or role information. | | +| `model_id` | `str` | ID of the model to call, e.g., `amazon.titan-embed-text-v1`. This is equivalent to the `modelId` property in the `list-foundation-models` API. | | +| `endpoint_url` | `str` | URL to set a specific service endpoint other than the default AWS endpoint. | | +| `region_name` | `str` | AWS region to use, e.g., `us-west-2`. Falls back to `AWS_DEFAULT_REGION` environment variable or region specified in ~/.aws/config if not provided. | | -- **credentials_profile_name:** The name of the profile in the ~/.aws/credentials or ~/.aws/config files, which has either access keys or role information specified. If not specified, the default credential profile or, if on an EC2 instance, credentials from IMDS will be used. See [the AWS documentation](https://boto3.amazonaws.com/v1/documentation/api/latest/guide/credentials.html) for more details. +## Cohere Embeddings -- **model_id:** Id of the model to call, e.g., amazon.titan-embed-text-v1, this is equivalent to the modelId property in the list-foundation-models api. +Used to load embedding models from [Cohere](https://cohere.com/). -- **endpoint_url:** Needed if you don’t want to default to us-east-1 endpoint. +| **Parameter** | **Type** | **Description** | **Default** | +|---------------------|-------------------|-------------------------------------------------------------------------------------------------------------------------------|-----------------------| +| `cohere_api_key` | `str` | API key required to authenticate with the Cohere service. | | +| `model` | `str` | Language model used for embedding text documents and performing queries. | `embed-english-v2.0` | +| `truncate` | `bool` | Whether to truncate the input text to fit within the model's constraints. | `False` | -- **region_name:** The aws region e.g., us-west-2. Fallsback to AWS_DEFAULT_REGION env variable or region specified in ~/.aws/config in case it is not provided here. - ---- - -### Cohere Embeddings - -Used to load [Cohere’s](https://cohere.com/) embedding models. - -**Params** - -- **cohere_api_key:** Holds the API key required to authenticate with the Cohere service. - -- **model:** The language model used for embedding text documents and performing queries —defaults to `embed-english-v2.0`. - -- **truncate:** Used to specify whether or not to truncate the input text. Truncation is useful when dealing with long texts that exceed the model's maximum input length. By truncating the text, the user can ensure that it fits within the model's constraints. - ---- - -### Azure OpenAI Embeddings +## Azure OpenAI Embeddings Generate embeddings using Azure OpenAI models. -**Params** +| **Parameter** | **Type** | **Description** | **Default** | +|---------------------|-------------------|-------------------------------------------------------------------------------------------------------------------------------|-----------------------| +| `Azure Endpoint` | `str` | Your Azure endpoint, including the resource. Example: `https://example-resource.azure.openai.com/` | | +| `Deployment Name` | `str` | The name of the deployment. | | +| `API Version` | `str` | The API version to use, options include various dates. | | +| `API Key` | `str` | The API key to access the Azure OpenAI service. | | -- **Azure Endpoint:** Your Azure endpoint, including the resource. Example: `https://example-resource.azure.openai.com/` -- **Deployment Name:** The name of the deployment. -- **API Version:** The API version to use. (Options: 2022-12-01, 2023-03-15-preview, 2023-05-15, 2023-06-01-preview, 2023-07-01-preview, 2023-08-01-preview) -- **API Key:** The API key to access the Azure OpenAI service. - ---- - -### Hugging Face API Embeddings +## Hugging Face API Embeddings Generate embeddings using Hugging Face Inference API models. -**Params** +| **Parameter** | **Type** | **Description** | **Default** | +|---------------------|-------------------|-------------------------------------------------------------------------------------------------------------------------------|-----------------------| +| `API Key` | `str` | API key for accessing the Hugging Face Inference API. | | +| `API URL` | `str` | URL of the Hugging Face Inference API. | `http://localhost:8080` | +| `Model Name` | `str` | Name of the model to use for embeddings. | `BAAI/bge-large-en-v1.5` | +| `Cache Folder` | `str` | Folder path to cache Hugging Face models. | | +| `Encode Kwargs` | `dict` | Additional arguments for the encoding process. | | +| `Model Kwargs` | `dict` | Additional arguments for the model. | | +| `Multi Process` | `bool` | Whether to use multiple processes. | `False` | -- **API Key:** API key for accessing the Hugging Face Inference API. (Type: str) -- **API URL:** URL of the Hugging Face Inference API. (Default: http://localhost:8080) -- **Model Name:** Name of the model to use. (Default: BAAI/bge-large-en-v1.5) -- **Cache Folder:** Folder path to cache Hugging Face models. (Advanced) -- **Encode Kwargs:** Additional arguments for the encoding process. (Type: dict, Advanced) -- **Model Kwargs:** Additional arguments for the model. (Type: dict, Advanced) -- **Multi Process:** Whether to use multiple processes. (Default: False, Advanced) +## Hugging Face Embeddings ---- +Used to load embedding models from [HuggingFace](https://huggingface.co). -### Hugging Face Embeddings +| **Parameter** | **Type** | **Description** | **Default** | +|---------------------|-------------------|-------------------------------------------------------------------------------------------------------------------------------|-----------------------| +| `Cache Folder` | `str` | Folder path to cache HuggingFace models. | | +| `Encode Kwargs` | `dict` | Additional arguments for the encoding process. | | +| `Model Kwargs` | `dict` | Additional arguments for the model. | | +| `Model Name` | `str` | Name of the HuggingFace model to use. | `sentence-transformers/all-mpnet-base-v2` | +| `Multi Process` | `bool` | Whether to use multiple processes. | `False` | -Used to load [HuggingFace’s](https://huggingface.co) embedding models. +## OpenAI Embeddings -**Params** +Used to load embedding models from [OpenAI](https://openai.com/). -- **Cache Folder:** Folder path to cache HuggingFace models. -- **Encode Kwargs:** Additional arguments for the encoding process. (Type: dict) -- **Model Kwargs:** Additional arguments for the model. (Type: dict) -- **Model Name:** Name of the HuggingFace model to use. (Default: sentence-transformers/all-mpnet-base-v2) -- **Multi Process:** Whether to use multiple processes. (Default: False) +| **Parameter** | **Type** | **Description** | **Default** | +|-----------------------------|-------------------|-----------------------------------------------------------------------------------------------------------------------------------------------------------------------|-------------| +| `OpenAI API Key` | `str` | The API key to use for accessing the OpenAI API. | | +| `Default Headers` | `Dict[str, str]` | Default headers for the HTTP requests. | | +| `Default Query` | `NestedDict` | Default query parameters for the HTTP requests. | | +| `Allowed Special` | `List[str]` | Special tokens allowed for processing. | `[]` | +| `Disallowed Special` | `List[str]` | Special tokens disallowed for processing. | `["all"]` | +| `Chunk Size` | `int` | Chunk size for processing. | `1000` | +| `Client` | `Any` | HTTP client for making requests. | | +| `Deployment` | `str` | Deployment name for the model. | `text-embedding-3-small` | +| `Embedding Context Length` | `int` | Length of embedding context. | `8191` | +| `Max Retries` | `int` | Maximum number of retries for failed requests. | `6` | +| `Model` | `str` | Name of the model to use. | `text-embedding-3-small` | +| `Model Kwargs` | `NestedDict` | Additional keyword arguments for the model. | | +| `OpenAI API Base` | `str` | Base URL of the OpenAI API. | | +| `OpenAI API Type` | `str` | Type of the OpenAI API. | | +| `OpenAI API Version` | `str` | Version of the OpenAI API. | | +| `OpenAI Organization` | `str` | Organization associated with the API key. | | +| `OpenAI Proxy` | `str` | Proxy server for the requests. | | +| `Request Timeout` | `float` | Timeout for the HTTP requests. | | +| `Show Progress Bar` | `bool` | Whether to show a progress bar for processing. | `False` | +| `Skip Empty` | `bool` | Whether to skip empty inputs. | `False` | +| `TikToken Enable` | `bool` | Whether to enable TikToken. | `True` | +| `TikToken Model Name` | `str` | Name of the TikToken model. | | ---- - -### Ollama Embeddings +## Ollama Embeddings Generate embeddings using Ollama models. -**Params** +| **Parameter** | **Type** | **Description** | **Default** | +|---------------------|-------------------|--------------------------------------------------------------------------------------------------------------------|---------------------------| +| `Ollama Model` | `str` | Name of the Ollama model to use. | `llama2` | +| `Ollama Base URL` | `str` | Base URL of the Ollama API. | `http://localhost:11434` | +| `Model Temperature` | `float` | Temperature parameter for the model. Adjusts the randomness in the generated embeddings. | | -- **Ollama Model:** Name of the Ollama model to use. (Default: llama2) -- **Ollama Base URL:** Base URL of the Ollama API. (Default: http://localhost:11434) -- **Model Temperature:** Temperature parameter for the model. (Type: float) - ---- - -### OpenAI Embeddings - -Used to load [OpenAI’s](https://openai.com/) embedding models. - -**Params** - -- **OpenAI API Key:** The API key to use for accessing the OpenAI API. (Type: str) -- **Default Headers:** Default headers for the HTTP requests. (Type: Dict[str, str], Optional) -- **Default Query:** Default query parameters for the HTTP requests. (Type: NestedDict, Optional) -- **Allowed Special:** Special tokens allowed for processing. (Type: List[str], Default: []) -- **Disallowed Special:** Special tokens disallowed for processing. (Type: List[str], Default: ["all"]) -- **Chunk Size:** Chunk size for processing. (Type: int, Default: 1000) -- **Client:** HTTP client for making requests. (Type: Any, Optional) -- **Deployment:** Deployment name for the model. (Type: str, Default: "text-embedding-3-small") -- **Embedding Context Length:** Length of embedding context. (Type: int, Default: 8191) -- **Max Retries:** Maximum number of retries for failed requests. (Type: int, Default: 6) -- **Model:** Name of the model to use. (Type: str, Default: "text-embedding-3-small") -- **Model Kwargs:** Additional keyword arguments for the model. (Type: NestedDict, Optional) -- **OpenAI API Base:** Base URL of the OpenAI API. (Type: str, Optional) -- **OpenAI API Type:** Type of the OpenAI API. (Type: str, Optional) -- **OpenAI API Version:** Version of the OpenAI API. (Type: str, Optional) -- **OpenAI Organization:** Organization associated with the API key. (Type: str, Optional) -- **OpenAI Proxy:** Proxy server for the requests. (Type: str, Optional) -- **Request Timeout:** Timeout for the HTTP requests. (Type: float, Optional) -- **Show Progress Bar:** Whether to show a progress bar for processing. (Type: bool, Default: False) -- **Skip Empty:** Whether to skip empty inputs. (Type: bool, Default: False) -- **TikToken Enable:** Whether to enable TikToken. (Type: bool, Default: True) -- **TikToken Model Name:** Name of the TikToken model. (Type: str, Optional) - ---- - -### VertexAI Embeddings +## VertexAI Embeddings Wrapper around [Google Vertex AI](https://cloud.google.com/vertex-ai) [Embeddings API](https://cloud.google.com/vertex-ai/docs/generative-ai/embeddings/get-text-embeddings). - - Vertex AI is a cloud computing platform offered by Google Cloud Platform - (GCP). It provides access, management, and development of applications and - services through global data centers. To use Vertex AI PaLM, you need to have - the - [google-cloud-aiplatform](https://pypi.org/project/google-cloud-aiplatform/) - Python package installed and credentials configured for your environment. - - -- **credentials:** The default custom credentials (google.auth.credentials.Credentials) to use. -- **location:** The default location to use when making API calls – defaults to `us-central1`. -- **max_output_tokens:** Token limit determines the maximum amount of text output from one prompt – defaults to `128`. -- **model_name:** The name of the Vertex AI large language model – defaults to `text-bison`. -- **project:** The default GCP project to use when making Vertex API calls. -- **request_parallelism:** The amount of parallelism allowed for requests issued to VertexAI models – defaults to `5`. -- **temperature:** Tunes the degree of randomness in text generations. Should be a non-negative value – defaults to `0`. -- **top_k:** How the model selects tokens for output, the next token is selected from – defaults to `40`. -- **top_p:** Tokens are selected from most probable to least until the sum of their – defaults to `0.95`. -- **tuned_model_name:** The name of a tuned model. If provided, model_name is ignored. -- **verbose:** This parameter is used to control the level of detail in the output of the chain. When set to True, it will print out some internal states of the chain while it is being run, which can help debug and understand the chain's behavior. If set to False, it will suppress the verbose output – defaults to `False`. +| **Parameter** | **Type** | **Description** | **Default** | +|-----------------------------|-------------------|-----------------------------------------------------------------------------------------------------------------------------------------------------------------------|-------------| +| `credentials` | `Credentials` | The default custom credentials to use. | | +| `location` | `str` | The default location to use when making API calls. | `us-central1`| +| `max_output_tokens` | `int` | Token limit determines the maximum amount of text output from one prompt. | `128` | +| `model_name` | `str` | The name of the Vertex AI large language model. | `text-bison`| +| `project` | `str` | The default GCP project to use when making Vertex API calls. | | +| `request_parallelism` | `int` | The amount of parallelism allowed for requests issued to VertexAI models. | `5` | +| `temperature` | `float` | Tunes the degree of randomness in text generations. Should be a non-negative value. | `0` | +| `top_k` | `int` | How the model selects tokens for output, the next token is selected from the top `k` tokens. | `40` | +| `top_p` | `float` | Tokens are selected from the most probable to least until the sum of their probabilities exceeds the top `p` value. | `0.95` | +| `tuned_model_name` | `str` | The name of a tuned model. If provided, `model_name` is ignored. | | +| `verbose` | `bool` | This parameter controls the level of detail in the output. When set to `True`, it prints internal states of the chain to help debug. | `False` | diff --git a/docs/docs/components/experimental.mdx b/docs/docs/components/experimental.mdx index d81f28ca3..8e503da06 100644 --- a/docs/docs/components/experimental.mdx +++ b/docs/docs/components/experimental.mdx @@ -2,23 +2,23 @@ import Admonition from '@theme/Admonition'; # Experimental -Experimental are components that are currently in a beta phase. This means they have undergone initial development and testing but have not yet reached a stable or fully supported status. Users are encouraged to explore these components, provide feedback, and report any issues encountered during their usage. +Components in the experimental phase are currently in beta. They have been initially developed and tested but haven't yet achieved a stable or fully supported status. We encourage users to explore these components, provide feedback, and report any issues encountered. ### Clear Message History Component -This component is designed to clear the message history associated with a specific session ID. +This component clears the message history for a specified session ID. -**Beta:** This component is currently in beta. +**Beta:** This component is in beta. **Parameters** - **Session ID:** - **Display Name:** Session ID - - **Info:** The session ID to clear the message history. + - **Info:** Clears the message history for this ID. **Usage** -To use this component, provide the session ID for which you want to clear the message history. +Provide the session ID to clear its message history. --- @@ -30,68 +30,68 @@ This component extracts specified keys from a record. - **Record:** - **Display Name:** Record - - **Info:** The record from which to extract the keys. + - **Info:** The record from which to extract keys. - **Keys:** - **Display Name:** Keys - - **Info:** The keys to extract from the record. + - **Info:** The keys to be extracted. - **Silent Errors:** - **Display Name:** Silent Errors - - **Info:** If True, errors will not be raised. + - **Info:** Set to true to suppress errors. - **Advanced:** True **Usage** -To use this component, provide the record from which you want to extract keys, specify the keys to extract, and optionally set whether to raise errors for missing keys. +Provide the record and specify the keys you want to extract. Optionally, enable silent errors for missing keys. --- ### Flow as Tool -This component constructs a Tool from a function that runs the loaded Flow. +This component turns a function running a flow into a Tool. **Parameters** - **Flow Name:** - **Display Name:** Flow Name - - **Info:** The name of the flow to run. - - **Options:** List of available flow names. + - **Info:** Select the flow to run. + - **Options:** List of available flows. - **Real-time Refresh:** True - **Refresh Button:** True - **Name:** - **Display Name:** Name - - **Description:** The name of the tool. + - **Description:** The tool's name. - **Description:** - **Display Name:** Description - - **Description:** The description of the tool. + - **Description:** Describes the tool. - **Return Direct:** - **Display Name:** Return Direct - - **Description:** Return the result directly from the Tool. + - **Description:** Returns the result directly. - **Advanced:** True **Usage** -To use this component, select the desired flow from the available options, provide a name and description for the tool, and specify whether to return the result directly from the tool. +Select a flow, name and describe the tool, and decide if you want to return the result directly. --- ### Listen -This component listens for a notification. +This component listens for a specified notification. **Parameters** - **Name:** - **Display Name:** Name - - **Info:** The name of the notification to listen for. + - **Info:** The notification to listen for. **Usage** -To use this component, specify the name of the notification to listen for. +Specify the notification to listen for. --- @@ -101,12 +101,14 @@ This component lists all available flows. **Usage** -To use this component, simply call it without any parameters. +Call this component without parameters to list all flows. --- ### Merge Records +This component merges a list of records. + **Parameters** - **Records:** @@ -114,37 +116,37 @@ To use this component, simply call it without any parameters. **Usage** -To use this component, provide a list of records to merge. +Provide the records you want to merge. --- ### Notify -This component generates a notification to the Get Notified component. +This component generates a notification. **Parameters** - **Name:** - **Display Name:** Name - - **Info:** The name of the notification. + - **Info:** The notification's name. - **Record:** - **Display Name:** Record - - **Info:** The record to store. + - **Info:** Optionally, a record to store in the notification. - **Append:** - **Display Name:** Append - - **Info:** If True, the record will be appended to the notification. + - **Info:** Set to true to append the record to the notification. **Usage** -To use this component, specify the name of the notification, provide an optional record to store, and indicate whether to append the record to the notification. +Specify the notification name, provide a record if necessary, and indicate whether to append it. --- ### Run Flow -This component runs a flow. +This component runs a specified flow. **Parameters** @@ -154,33 +156,33 @@ This component runs a flow. - **Flow Name:** - **Display Name:** Flow Name - - **Info:** The name of the flow to run. - - **Options:** List of available flow names. + - **Info:** Select the flow to run. + - **Options:** List of available flows. - **Refresh Button:** True - **Tweaks:** - **Display Name:** Tweaks - - **Info:** Tweaks to apply to the flow. + - **Info:** Modifications to apply to the flow. **Usage** -To use this component, provide the input value, specify the flow name to run, and optionally provide tweaks to apply to the flow. +Provide the input value, select the flow, and apply any tweaks. --- ### Runnable Executor -This component executes a runnable. +This component executes a specified runnable. **Parameters** - **Input Key:** - **Display Name:** Input Key - - **Info:** The key to use for the input. + - **Info:** The input key. - **Inputs:** - **Display Name:** Inputs - - **Info:** The inputs to pass to the runnable. + - **Info:** Inputs for the runnable. - **Runnable:** - **Display Name:** Runnable @@ -188,45 +190,45 @@ This component executes a runnable. - **Output Key:** - **Display Name:** Output Key - - **Info:** The key to use for the output. + - **Info:** The output key. **Usage** -To use this component, specify the input key, provide the inputs to pass to the runnable, select the runnable to execute, and optionally specify the output key. +Specify the input key, provide inputs, select the runnable, and optionally define the output key. --- ### SQL Executor - This component executes an SQL query. +This component executes an SQL query. **Parameters** - **Database URL:** - **Display Name:** Database URL - - **Info:** The URL of the database. + - **Info:** The database's URL. - **Include Columns:** - **Display Name:** Include Columns - - **Info:** Include columns in the result. + - **Info:** Whether to include columns in the result. - **Passthrough:** - **Display Name:** Passthrough - - **Info:** If an error occurs, return the query instead of raising an exception. + - **Info:** Returns the query instead of raising an exception if an error occurs. - **Add Error:** - **Display Name:** Add Error - - **Info:** Add the error to the result. + - **Info:** Includes the error in the result. **Usage** -To use this component, provide the SQL query, specify the database URL, and optionally configure include columns, passthrough, and add error settings. +Provide the SQL query, specify the database URL, and configure settings for columns, error handling, and passthrough. --- ### SubFlow -This component dynamically generates a component from a flow. The output is a list of records with keys 'result' and 'message'. +This component dynamically generates a tool from a flow. **Parameters** @@ -236,15 +238,15 @@ This component dynamically generates a component from a flow. The output is a li - **Flow Name:** - **Display Name:** Flow Name - - **Info:** The name of the flow to run. - - **Options:** List of available flow names. + - **Info:** Select the flow to run. + - **Options:** List of available flows. - **Real Time Refresh:** True - **Refresh Button:** True - **Tweaks:** - **Display Name:** Tweaks - - **Info:** Tweaks to apply to the flow. + - **Info:** Modifications to apply to the flow. **Usage** -To use this component, specify the flow name and provide any necessary tweaks to apply to the flow. +Select a flow, apply any necessary tweaks, and generate a tool. diff --git a/docs/docs/components/helpers.mdx b/docs/docs/components/helpers.mdx index d965761aa..ff95eab7e 100644 --- a/docs/docs/components/helpers.mdx +++ b/docs/docs/components/helpers.mdx @@ -2,49 +2,49 @@ import Admonition from '@theme/Admonition'; # Helpers -### Chat Memory +### Chat memory -This component retrieves stored chat messages given a specific Session ID. +This component retrieves stored chat messages based on a specific session ID. -**Params** +#### Parameters -- **Sender Type:** Choose the sender type from options like "Machine", "User", or "Machine and User". -- **Sender Name:** (Optional) The name of the sender. -- **Number of Messages:** Number of messages to retrieve. -- **Session ID:** The Session ID of the chat history. -- **Order:** Choose the order of the messages, either "Ascending" or "Descending". -- **Record Template:** (Optional) Template to convert Record to Text. If left empty, it will be dynamically set to the Record's text key. +- **Sender type:** Choose the sender type from options like "Machine", "User", or "Both". +- **Sender name:** (Optional) The name of the sender. +- **Number of messages:** Number of messages to retrieve. +- **Session ID:** The session ID of the chat history. +- **Order:** Choose the message order, either "Ascending" or "Descending". +- **Record template:** (Optional) Template to convert a record to text. If left empty, the system dynamically sets it to the record's text key. --- -### Combine Text +### Combine text This component concatenates two text sources into a single text chunk using a specified delimiter. -**Params** +#### Parameters -- **First Text:** The first text input to concatenate. -- **Second Text:** The second text input to concatenate. -- **Delimiter:** A string used to separate the two text inputs. Defaults to a whitespace. +- **First text:** The first text input to concatenate. +- **Second text:** The second text input to concatenate. +- **Delimiter:** A string used to separate the two text inputs. Defaults to a space. --- -### Create Record +### Create record -This component dynamically creates a Record with a specified number of fields. +This component dynamically creates a record with a specified number of fields. -**Params** +#### Parameters -- **Number of Fields:** Number of fields to be added to the record. -- **Text Key:** Key to be used as text. +- **Number of fields:** Number of fields to be added to the record. +- **Text key:** Key used as text. --- -### Custom Component +### Custom component -Use this component as a template to create your own custom component. +Use this component as a template to create your custom component. -**Params** +#### Parameters - **Parameter:** Describe the purpose of this parameter. @@ -54,74 +54,74 @@ Use this component as a template to create your own custom component.

-Learn more about [Custom Component](http://docs.langflow.org/components/custom). +Learn more about creating custom components at [Custom Component](http://docs.langflow.org/components/custom). --- -### Documents to Records +### Documents to records -Convert LangChain Documents into Records. +Convert LangChain documents into records. -**Parameters** +#### Parameters -- **Documents:** Documents to be converted into Records. +- **Documents:** Documents to be converted into records. --- -### ID Generator +### ID generator Generates a unique ID. -**Parameters** +#### Parameters - **Value:** Unique ID generated. --- -### Message History +### Message history -Retrieves stored chat messages given a specific Session ID. +Retrieves stored chat messages based on a specific session ID. -**Parameters** +#### Parameters -- **Sender Type:** Options for the sender type. -- **Sender Name:** Sender name. -- **Number of Messages:** Number of messages to retrieve. +- **Sender type:** Options for the sender type. +- **Sender name:** Sender name. +- **Number of messages:** Number of messages to retrieve. - **Session ID:** Session ID of the chat history. - **Order:** Order of the messages. --- -### Records to Text +### Records to text -Convert Records into plain text following a specified template. +Convert records into plain text following a specified template. -**Parameters** +#### Parameters - **Records:** The records to convert to text. -- **Template:** The template to use for formatting the records. It can contain the keys `{text}`, `{data}` or any other key in the Record. +- **Template:** The template used for formatting the records. It can contain keys like `{text}`, `{data}`, or any other key in the record. --- -### Split Text +### Split text Split text into chunks of a specified length. -**Parameters** +#### Parameters - **Texts:** Texts to split. -- **Separators:** The characters to split on. Defaults to [" "]. -- **Max Chunk Size:** The maximum length (in number of characters) of each chunk. -- **Chunk Overlap:** The amount of character overlap between chunks. +- **Separators:** Characters to split on. Defaults to a space. +- **Max chunk size:** The maximum length (in characters) of each chunk. +- **Chunk overlap:** The amount of character overlap between chunks. - **Recursive:** Whether to split recursively. --- -### Update Record +### Update record -Update Record with text-based key/value pairs, similar to updating a Python dictionary. +Update a record with text-based key/value pairs, similar to updating a Python dictionary. -**Parameters** +#### Parameters - **Record:** The record to update. -- **New Data:** The new data to update the record with. +- **New data:** The new data to update the record with. diff --git a/docs/docs/components/inputs.mdx b/docs/docs/components/inputs.mdx index fe8804e43..854f7fee3 100644 --- a/docs/docs/components/inputs.mdx +++ b/docs/docs/components/inputs.mdx @@ -1,43 +1,27 @@ -import Admonition from "@theme/Admonition"; +import Admonition from '@theme/Admonition'; import ZoomableImage from "/src/theme/ZoomableImage.js"; # Inputs -### Chat Input +## Chat Input -This component is designed to get user input from the chat. +This component obtains user input from the chat. -**Params** +**Parameters** -- **Sender Type:** specifies the sender type. Defaults to _`"User"`_. Options are _`"Machine"`_ and _`"User"`_. - -- **Sender Name:** specifies the name of the sender. Defaults to _`"User"`_. - -- **Message:** specifies the message text. It is a multiline text input. - -- **Session ID:** specifies the session ID of the chat history. If provided, the message will be saved in the Message History. +- **Sender Type:** Specifies the sender type. Defaults to `User`. Options are `Machine` and `User`. +- **Sender Name:** Specifies the name of the sender. Defaults to `User`. +- **Message:** Specifies the message text. It is a multiline text input. +- **Session ID:** Specifies the session ID of the chat history. If provided, the message will be saved in the Message History.

- If _`As Record`_ is _`true`_ and the _`Message`_ is a _`Record`_, the data - of the _`Record`_ will be updated with the _`Sender`_, _`Sender Name`_, and - _`Session ID`_. + If `As Record` is `true` and the `Message` is a `Record`, the data + of the `Record` will be updated with the `Sender`, `Sender Name`, and + `Session ID`.

-When you get it from the sidebar, it will look like the image below but that is because some fields are in the advanced section. - - - -If you expose all its fields, it will look like the image below. - -One key capability of the Chat Input component is how it transforms the Interaction Panel into a chat window. This feature is particularly useful for scenarios where user input is required to initiate or influence the flow. +One significant capability of the Chat Input component is its ability to transform the Playground into a chat window. This feature is particularly valuable for scenarios requiring user input to initiate or influence the flow. -

- Prompt variables can be created with any chosen name inside curly brackets, - e.g. `{variable_name}` -

- - -Here is how it looks when you get it from the sidebar. - - - -And here when you add a Template with the value _`Hello {name}, how are you?`_. +- **Template:** The template for the prompt. This field allows you to create other fields dynamically by using curly brackets `{}`. For example, if you have a template like `Hello {name}, how are you?`, a new field called `name` will be created. Prompt variables can be created with any name inside curly brackets, e.g. `{variable_name}`. -

- The `TextInput` component serves as a straightforward means for setting Text - input values in the chat window. It ensures that textual data can be - seamlessly passed to subsequent components in the flow. -

- +The **Record Template** field is used to specify how a `Record` should be converted into `Text`. This is particularly useful when you want to extract specific information from a `Record` and pass it as text to the next component in the sequence. -It should look like this when dropped directly from the sidebar. - - - -And when you expose all its fields, it will look like the image below. - -The **Record Template** field is used to specify how a Record should be converted into Text. This is particularly useful when you want to extract specific information from a Record and pass it as text to the next component in the sequence. - -For example, if you have a Record with the following structure: +For example, if you have a `Record` with the following structure: ```json { @@ -141,7 +84,9 @@ For example, if you have a Record with the following structure: } ``` -You can use a template like this: _`"Name: {name}, Age: {age}"`_ to convert the Record into a text string like this: _`"Name: John Doe, Age: 30"`_, and if you pass more than one Record, the text will be concatenated with a new line separator. +A template with `Name: {name}, Age: {age}` will convert the `Record` into a text string of `Name: John Doe, Age: 30`. + +If you pass more than one `Record`, the text will be concatenated with a new line separator. -The Text Input component gives you the possibility to add an Input field on the Interaction Panel. This is useful because it allows you to define parameters while running and testing your flow. - - diff --git a/docs/docs/components/memories.mdx b/docs/docs/components/memories.mdx index b92538134..f4002844e 100644 --- a/docs/docs/components/memories.mdx +++ b/docs/docs/components/memories.mdx @@ -4,125 +4,124 @@ import Admonition from '@theme/Admonition';

- We appreciate your understanding as we polish our documentation – it may contain some rough edges. Share your feedback or report issues to help us improve! 🛠️📝 + Thanks for your patience as we improve our documentation—it might have some rough edges. Share your feedback or report issues to help us enhance it! 🛠️📝

-Memory is a concept in chat-based applications that allows the system to remember previous interactions. It helps in maintaining the context of the conversation and enables the system to understand new messages in relation to past messages. +Memory is a concept in chat-based applications that allows the system to remember previous interactions. This capability helps maintain the context of the conversation and enables the system to understand new messages in light of past messages. --- ### MessageHistory -This component is designed to retrieve stored messages based on various filters such as sender type, sender name, session ID, and a specific file path where messages are stored. It allows for a flexible retrieval of chat history, providing insights into past interactions. +This component retrieves stored messages using various filters such as sender type, sender name, session ID, and the specific file path where messages are stored. It offers flexible retrieval of chat history, providing insights into past interactions. -**Params** +**Parameters** -- **Sender Type:** (Optional) Specifies the type of the sender. Options are _`"Machine"`_, _`"User"`_, or _`"Machine and User"`_. Filters the messages by the type of the sender. - -- **Sender Name:** (Optional) Specifies the name of the sender. Filters the messages by the name of the sender. - -- **Session ID:** (Optional) Specifies the session ID of the chat history. Filters the messages belonging to a specific session. - -- **Number of Messages:** Specifies the number of messages to retrieve. Defaults to _`5`_. Determines how many recent messages from the chat history to fetch. +- **sender_type** (optional): Specifies the sender's type. Options include `"Machine"`, `"User"`, or `"Machine and User"`. Filters messages by the sender type. +- **sender_name** (optional): Specifies the sender's name. Filters messages by the sender's name. +- **session_id** (optional): Specifies the session ID of the chat history. Filters messages by session. +- **number_of_messages**: Specifies the number of messages to retrieve. Defaults to `5`. Determines the number of recent messages from the chat history to fetch.

- The component retrieves messages based on the provided criteria, including the specific file path for stored messages. If no specific criteria are provided, it will return the most recent messages up to the specified limit. This component can be used to review past interactions and analyze the flow of conversations. + The component retrieves messages based on the provided criteria, including the specific file path for stored messages. If no specific criteria are provided, it returns the most recent messages up to the specified limit. This component can be used to review past interactions and analyze conversation flows.

### ConversationBufferMemory -The `ConversationBufferMemory` component is a type of memory system that plainly stores the last few inputs and outputs of a conversation. +The `ConversationBufferMemory` component stores the last few inputs and outputs of a conversation. -**Params** +**Parameters** - - **input_key:** Used to specify the key under which the user input will be stored in the conversation memory. It allows you to provide the user's input to the chain for processing and generating a response. -- **memory_key:** Specifies the prompt variable name where the memory will store and retrieve the chat messages. It allows for the preservation of the conversation history throughout the interaction with the language model – defaults to `chat_history`. -- **output_key:** Used to specify the key under which the generated response will be stored in the conversation memory. It allows you to retrieve the response using the specified key. -- **return_messages:** Determines whether the history should be returned as a string or as a list of messages. If `return_messages` is set to True, the history will be returned as a list of messages. If `return_messages` is set to False or not specified, the history will be returned as a string. The default is `False`. +- **input_key**: Specifies the key under which the user input will be stored in the conversation memory. +- **memory_key**: Specifies the prompt variable name where the memory will store and retrieve chat messages. Defaults to `chat_history`. +- **output_key**: Specifies the key under which the generated response will be stored. +- **return_messages**: Determines whether the history should be returned as a string or as a list of messages. The default is `False`. --- ### ConversationBufferWindowMemory -`ConversationBufferWindowMemory` is a variation of the `ConversationBufferMemory` that maintains a list of the recent interactions in a conversation. It only keeps the last K interactions in memory, which can be useful for maintaining a sliding window of the most recent interactions without letting the buffer get too large. +`ConversationBufferWindowMemory` is a variant of the `ConversationBufferMemory` that keeps only the last K interactions in memory. It's useful for maintaining a sliding window of recent interactions without letting the buffer get too large. -**Params** +**Parameters** -- **input_key:** Used to specify the keys in the memory object where the input messages should be stored. It allows for the retrieval and manipulation of input messages. -- **memory_key:** Specifies the prompt variable name where the memory will store and retrieve the chat messages. It allows for the preservation of the conversation history throughout the interaction with the language model. Defaults to `chat_history`. -- **k:** Used to specify the number of interactions or messages that should be stored in the conversation buffer. It determines the size of the sliding window that keeps track of the most recent interactions. -- **output_key:** Used to specify the key under which the generated response will be stored in the conversation memory. It allows you to retrieve the response using the specified key. -- **return_messages:** Determines whether the history should be returned as a string or as a list of messages. If `return_messages` is set to True, the history will be returned as a list of messages. If `return_messages` is set to False or not specified, the history will be returned as a string. The default is `False`. +- **input_key**: Specifies the keys in the memory object where input messages are stored. +- **memory_key**: Specifies the prompt variable name for storing and retrieving chat messages. Defaults to `chat_history`. +- **k**: Specifies the number of interactions or messages to be stored in the conversation buffer. +- **output_key**: Specifies the key under which the generated response will be stored. +- **return_messages**: Determines whether the history should be returned as a string or as a list of messages. The default is `False`. --- ### ConversationEntityMemory -The `ConversationEntityMemory` component incorporates intricate memory structures, specifically a key-value store, for entities referenced in a conversation. This facilitates the storage and retrieval of information related to entities that have been mentioned throughout the conversation. +The `ConversationEntityMemory` component uses a key-value store to manage entities mentioned in conversations. This structure enhances the storage and retrieval of information about specific entities. -**Params** +**Parameters** -- **Entity Store:** Structure that stores information about specific entities mentioned in a conversation. -- **LLM:** Language Model to use in the `ConversationEntityMemory`. -- **chat_history_key:** Specify a unique identifier for the chat history data associated with a particular entity. This allows for organizing and accessing the chat history data for each entity within the conversation entity memory. Defaults to `history` -- **input_key:** Used to specify the keys in the memory object where the input messages should be stored. It allows for the retrieval and manipulation of input messages. -- **k:** Refers to the number of entities that can be stored in the memory. It determines the maximum number of entities that can be stored and retrieved from the memory object. Defaults to `10` -- **output_key:** Used to specify the key under which the generated response will be stored in the conversation memory. It allows you to retrieve the response using the specified key. -- **return_messages:** Determines whether the history should be returned as a string or as a list of messages. If `return_messages` is set to True, the history will be returned as a list of messages. If `return_messages` is set to False or not specified, the history will be returned as a string. The default is `False`. +- **entity_store**: A structure that stores information about entities mentioned in a conversation. +- **LLM**: Specifies the language model used in the `ConversationEntityMemory`. +- **chat_history_key**: A unique identifier for the chat history data associated with a particular entity. This key helps organize and access chat history data for each entity within the memory. Defaults to `history`. +- **input_key**: Identifies where input messages are stored in the memory object, allowing for their retrieval and manipulation. +- **k**: Specifies the maximum number of entities that can be stored and retrieved from the memory. Defaults to `10`. +- **output_key**: Identifies the key under which the generated response is stored, enabling retrieval using this key. +- **return_messages**: Controls whether the history is returned as a string or as a list of messages. Defaults to `False`. --- ### ConversationKGMemory -`ConversationKGMemory` is a type of memory that uses a knowledge graph to recreate memory. It allows the extraction of entities and knowledge triplets from a new message, using previous messages as context. +The `ConversationKGMemory` utilizes a knowledge graph to enhance memory capabilities. It extracts entities and knowledge triplets from new messages, using previous messages as context. -**Params** +**Parameters** -- **LLM:** Language Model to use in the `ConversationKGMemory`. -- **input_key:** Used to specify the keys in the memory object where the input messages should be stored. It allows for the retrieval and manipulation of input messages. -- **k:** Represents the number of previous conversation turns that will be stored in the memory. By setting "k" to 2, it means that the memory will retain the previous 2 conversation turns, allowing the model to access and utilize the information from those turns during the conversation. Defaults to `10` -- **memory_key:** Specifies the prompt variable name where the memory will store and retrieve the chat messages. It allows for the preservation of the conversation history throughout the interaction with the language model. Defaults to `chat_history`. -- **output_key:** Used to specify the key under which the generated response will be stored in the conversation memory. It allows you to retrieve the response using the specified key. -- **return_messages:** Determines whether the history should be returned as a string or as a list of messages. If `return_messages` is set to True, the history will be returned as a list of messages. If `return_messages` is set to False or not specified, the history will be returned as a string. The default is `False`. +- **LLM**: Specifies the language model used in the `ConversationKGMemory`. +- **input_key**: Identifies where input messages are stored in the memory object, facilitating their retrieval and manipulation. +- **k**: Indicates the number of previous conversation turns stored in memory, allowing the model to utilize information from these turns. Defaults to `10`. +- **memory_key**: Specifies the prompt variable name where the memory stores and retrieves chat messages. Defaults to `chat_history`. +- **output_key**: Identifies the key under which the generated response + + is stored, enabling retrieval using this key. +- **return_messages**: Controls whether the history is returned as a string or as a list of messages. Defaults to `False`. --- ### ConversationSummaryMemory -The `ConversationSummaryMemory` is a memory component that creates a summary of the conversation over time. It condenses information from the conversation and stores the current summary in memory. It is particularly useful for longer conversations where keeping the entire message history in the prompt would take up too many tokens. +The `ConversationSummaryMemory` summarizes conversations over time, condensing information and storing it efficiently. It's particularly useful for long conversations. -**Params** +**Parameters** -- **LLM:** Language Model to use in the `ConversationSummaryMemory`. -- **input_key:** Used to specify the keys in the memory object where the input messages should be stored. It allows for the retrieval and manipulation of input messages. -- **memory_key:** Specifies the prompt variable name where the memory will store and retrieve the chat messages. It allows for the preservation of the conversation history throughout the interaction with the language model. Defaults to `chat_history`. -- **output_key:** Used to specify the key under which the generated response will be stored in the conversation memory. It allows you to retrieve the response using the specified key. -- **return_messages:** Determines whether the history should be returned as a string or as a list of messages. If `return_messages` is set to True, the history will be returned as a list of messages. If `return_messages` is set to False or not specified, the history will be returned as a string. The default is `False`. +- **LLM**: Specifies the language model used in the `ConversationSummaryMemory`. +- **input_key**: Identifies where input messages are stored in the memory object, facilitating their retrieval and manipulation. +- **memory_key**: Specifies the prompt variable name where the memory stores and retrieves chat messages. Defaults to `chat_history`. +- **output_key**: Identifies the key under which the generated response is stored, enabling retrieval using this key. +- **return_messages**: Controls whether the history is returned as a string or as a list of messages. Defaults to `False`. --- ### PostgresChatMessageHistory -The `PostgresChatMessageHistory` is a memory component that allows for the storage and retrieval of chat message history using a PostgreSQL database. The connection to the PostgreSQL database is established using a connection string, which includes the necessary authentication and database information. +The `PostgresChatMessageHistory` component uses a PostgreSQL database to store and retrieve chat message history. -**Params** +**Parameters** -- **connection_string:** Refers to a string that contains the necessary information to establish a connection to a PostgreSQL database. The `connection_string` typically includes details such as the username, password, host, port, and database name required to connect to the PostgreSQL database. Defaults to `postgresql://postgres:mypassword@localhost/chat_history` -- **session_id:** It is a unique identifier that is used to associate chat message history with a specific session or conversation. -- **table_name:** Refers to the name of the table in the PostgreSQL database where the chat message history will be stored. Defaults to `message_store` +- **connection_string**: Specifies the details needed to connect to the PostgreSQL database, including username, password, host, port, and database name. Defaults to `postgresql://postgres:mypassword@localhost/chat_history`. +- **session_id**: A unique identifier used to link chat message history with a specific session or conversation. +- **table_name**: The name of the PostgreSQL database table where chat message history is stored. Defaults to `message_store`. --- ### VectorRetrieverMemory -The `VectorRetrieverMemory` is a memory component that allows for the retrieval of vectors based on a given query. It is used to perform vector-based searches and retrievals. +The `VectorRetrieverMemory` retrieves vectors based on queries, facilitating vector-based searches and retrievals. -**Params** +**Parameters** -- **Retriever:** The retriever used to fetch documents. -- **input_key:** Used to specify the keys in the memory object where the input messages should be stored. It allows for the retrieval and manipulation of input messages. -- **memory_key:** Specifies the prompt variable name where the memory will store and retrieve the chat messages. It allows for the preservation of the conversation history throughout the interaction with the language model – defaults to `chat_history`. -- **return_messages:** Determines whether the history should be returned as a string or as a list of messages. If `return_messages` is set to True, the history will be returned as a list of messages. If `return_messages` is set to False or not specified, the history will be returned as a string – defaults to `False`. \ No newline at end of file +- **Retriever**: The tool used to fetch documents. +- **input_key**: Identifies where input messages are stored in the memory object, facilitating their retrieval and manipulation. +- **memory_key**: Specifies the prompt variable name where the memory stores and retrieves chat messages. Defaults to `chat_history`. +- **return_messages**: Controls whether the history is returned as a string or as a list of messages. Defaults to `False`. \ No newline at end of file diff --git a/docs/docs/components/model_specs.mdx b/docs/docs/components/model_specs.mdx index d72364376..3ed3d60ca 100644 --- a/docs/docs/components/model_specs.mdx +++ b/docs/docs/components/model_specs.mdx @@ -1,221 +1,143 @@ import Admonition from '@theme/Admonition'; -# LLMs +# Large Language Models (LLMs)

- We appreciate your understanding as we polish our documentation – it may contain some rough edges. Share your feedback or report issues to help us improve! 🛠️📝 + Thank you for your patience as we refine our documentation. You might encounter some inconsistencies. Please help us improve by sharing your feedback or reporting any issues! 🛠️📝

-An LLM stands for Large Language Model. It is a core component of Langflow and provides a standard interface for interacting with different LLMs from various providers such as OpenAI, Cohere, and HuggingFace. LLMs are used widely throughout Langflow, including in chains and agents. They can be used to generate text based on a given prompt (or input). +A Large Language Model (LLM) is a foundational component of Langflow. It provides a uniform interface for interacting with LLMs from various providers, including OpenAI, Cohere, and HuggingFace. Langflow extensively uses LLMs across its chains and agents, employing them to generate text based on specific prompts or inputs. --- ### Anthropic -Wrapper around Anthropic's large language models. Find out more at [Anthropic](https://www.anthropic.com). +This is a wrapper for Anthropic's large language models. Learn more at [Anthropic](https://www.anthropic.com). -- **anthropic_api_key:** Used to authenticate and authorize access to the Anthropic API. - -- **anthropic_api_url:** Specifies the URL of the Anthropic API to connect to. - -- **temperature:** Tunes the degree of randomness in text generations. Should be a non-negative value. +- **anthropic_api_key:** This key authenticates and authorizes access to the Anthropic API. +- **anthropic_api_url:** This URL connects to the Anthropic API. +- **temperature:** This parameter adjusts the randomness level in text generation. Set this to a non-negative number. --- ### ChatAnthropic -Wrapper around Anthropic's large language model used for chat-based interactions. Find out more at [Anthropic](https://www.anthropic.com). +This is a wrapper for Anthropic's large language model designed for chat-based interactions. Learn more at [Anthropic](https://www.anthropic.com). -- **anthropic_api_key:** Used to authenticate and authorize access to the Anthropic API. - -- **anthropic_api_url:** Specifies the URL of the Anthropic API to connect to. - -- **temperature:** Tunes the degree of randomness in text generations. Should be a non-negative value. +- **anthropic_api_key:** This key authenticates and authorizes access to the Anthropic API. +- **anthropic_api_url:** This URL connects to the Anthropic API. +- **temperature:** This parameter adjusts the randomness level in text generation. Set this to a non-negative number. --- ### CTransformers -The `CTransformers` component provides access to the Transformer models implemented in C/C++ using the [GGML](https://github.com/ggerganov/ggml) library. +`CTransformers` provides access to Transformer models implemented in C/C++ using the [GGML](https://github.com/ggerganov/ggml) library. - -Make sure to have the `ctransformers` python package installed. Learn more about installation, supported models, and usage [here](https://github.com/marella/ctransformers). +Ensure the `ctransformers` Python package is installed. Discover more about installation, supported models, and usage [here](https://github.com/marella/ctransformers). -**config:** Configuration for the Transformer models. Check out [config](https://github.com/marella/ctransformers#config). Defaults to: +- **config:** This configuration is for the Transformer models. Check the default settings and possible configurations at [config](https://github.com/marella/ctransformers#config). -``` +```json { - -"top_k": 40, - -"top_p": 0.95, - -"temperature": 0.8, - -"repetition_penalty": 1.1, - -"last_n_tokens": 64, - -"seed": -1, - -"max_new_tokens": 256, - -"stop": null, - -"stream": false, - -"reset": true, - -"batch_size": 8, - -"threads": -1, - -"context_length": -1, - -"gpu_layers": 0 - + "top_k": 40, + "top_p": 0.95, + "temperature": 0.8, + "repetition_penalty": 1.1, + "last_n_tokens": 64, + "seed": -1, + "max_new_tokens": 256, + "stop": null, + "stream": false, + "reset": true, + "batch_size": 8, + "threads": -1, + "context_length": -1, + "gpu_layers": 0 } ``` -**model:** The path to a model file or directory or the name of a Hugging Face Hub model repo. +- **model**: The file path, directory, or Hugging Face Hub model repository name. +- **model_file**: The specific model file name within the repository or directory. +- **model_type**: The type of transformer model used. For further information, visit [ctransformers](https://github.com/marella/ctransformers). -**model_file:** The name of the model file in the repo or directory. +### ChatOpenAI Component -**model_type:** Transformer model to be used. Learn more [here](https://github.com/marella/ctransformers). +This component interfaces with [OpenAI's](https://openai.com) large language models, supporting a variety of tasks such as chatbots, generative question-answering, and summarization. ---- +- **max_tokens**: The maximum number of tokens to generate for each completion. Set to `-1` to generate as many tokens as possible, based on the model's context size. The default is `256`. +- **model_kwargs**: A dictionary containing any additional model parameters for undefined calls. +- **model_name**: Specifies the OpenAI chat model in use. +- **openai_api_base**: The base URL for accessing the OpenAI API. +- **openai_api_key**: The API key required for authentication with the OpenAI API. +- **temperature**: Adjusts the randomness level of the text generation. This should be a non-negative number, defaulting to `0.7`. -### ChatOpenAI +### Cohere Component -Wrapper around [OpenAI's](https://openai.com) chat large language models. This component supports some of the LLMs (Large Language Models) available by OpenAI and is used for tasks such as chatbots, Generative Question-Answering (GQA), and summarization. +A wrapper for accessing [Cohere's](https://cohere.com) large language models. -- **max_tokens:** The maximum number of tokens to generate in the completion. `-1` returns as many tokens as possible, given the prompt and the model's maximal context size – defaults to `256`. -- **model_kwargs:** Holds any model parameters valid for creating non-specified calls. -- **model_name:** Defines the OpenAI chat model to be used. -- **openai_api_base:** Used to specify the base URL for the OpenAI API. It is typically set to the API endpoint provided by the OpenAI service. -- **openai_api_key:** Key used to authenticate and access the OpenAI API. -- **temperature:** Tunes the degree of randomness in text generations. Should be a non-negative value – defaults to `0.7`. +- **cohere_api_key**: The API key needed for Cohere service authentication. +- **max_tokens**: The limit on the number of tokens to generate per request, defaulting to `256`. +- **temperature**: Adjusts the randomness level in text generations. This should be a non-negative number, defaulting to `0.75`. ---- +### HuggingFaceHub Component -### Cohere +A component facilitating access to models hosted on the [HuggingFace Hub](https://www.huggingface.co/models). -Wrapper around [Cohere's](https://cohere.com) large language models. +- **huggingfacehub_api_token**: The token required for API authentication. +- **model_kwargs**: Parameters passed to the model. +- **repo_id**: Specifies the model repository, defaulting to `gpt2`. +- **task**: The specific task to execute with the model, returning either `generated_text` or `summary_text`. -- **cohere_api_key:** Holds the API key required to authenticate with the Cohere service. -- **max_tokens:** Maximum number of tokens to predict per generation – defaults to `256`. -- **temperature:** Tunes the degree of randomness in text generations. Should be a non-negative value – defaults to `0.75`. +### LlamaCpp Component ---- +This component provides access to `llama.cpp` models, ensuring high performance and flexibility. -### HuggingFaceHub +- **echo**: Whether to echo the input prompt, defaulting to `False`. +- **f16_kv**: Indicates if half-precision should be used for the key/value cache, defaulting to `True`. +- **last_n_tokens_size**: The lookback size for applying repeat penalties, defaulting to `64`. +- **logits_all**: Whether to return logits for all tokens or just the last one, defaulting to `False`. +- **logprobs**: The number of log probabilities to return. If set to None, no probabilities are returned. +- **lora_base**: The path to the base Llama LoRA model. +- **lora_path**: The specific path to the Llama LoRA model. If set to None, no LoRA model is loaded. +- **max_tokens**: The maximum number of tokens to generate in one session, defaulting to `256`. +- **model_path**: The file path to the Llama model. +- **n_batch**: The number of tokens processed in parallel, defaulting to `8`. +- **n_ctx**: The context window size for tokens, defaulting to `512`. +- **repeat_penalty**: The penalty applied to repeated tokens, defaulting to `1.1`. +- **seed**: The seed for random number generation. If set to `-1`, a random seed is used. +- **stop**: A list of stop strings that terminate generation when encountered. +- **streaming**: Indicates whether to stream results token by token, defaulting to `True`. +- **suffix**: A suffix appended to generated text. If None, no suffix is appended. +- **tags**: Tags added to the execution trace for monitoring. +- **temperature**: The sampling temperature, defaulting to `0.8`. +- **top_k**: The top-k sampling setting, defaulting to `40`. +- **top_p**: The cumulative probability threshold for top-p sampling, defaulting to `0.95`. +- **use_mlock**: Forces the system to retain the model in RAM, defaulting to `False`. +- **use_mmap**: Indicates whether to maintain the model loaded in RAM, defaulting to `True`. +- **verbose**: Controls the verbosity of output details. When enabled, it provides insights into internal states to aid debugging and understanding, defaulting to `False`. +- **vocab_only**: Loads only the vocabulary without model weights, defaulting to `False`. -Wrapper around [HuggingFace](https://www.huggingface.co/models) models. +### VertexAI Component - -The HuggingFace Hub is an online platform that hosts over 120k models, 20k datasets, and 50k demo apps, all of which are open-source and publicly available. Discover more at [HuggingFace](http://www.huggingface.co). - +This component integrates with [Google Vertex AI](https://cloud.google.com/vertex-ai) large language models to enhance AI capabilities. -- **huggingfacehub_api_token:** Token needed to authenticate the API. -- **model_kwargs:** Keyword arguments to pass to the model. -- **repo_id:** Model name to use – defaults to `gpt2`. -- **task:** Task to call the model with. Should be a task that returns `generated_text` or `summary_text`. +- **credentials**: Custom ---- + credentials used for API interactions. +- **location**: The default location for API calls, defaulting to `us-central1`. +- **max_output_tokens**: Limits the output tokens per prompt, defaulting to `128`. +- **model_name**: The name of the Vertex AI model in use, defaulting to `text-bison`. +- **project**: The default Google Cloud Platform project for API calls. +- **request_parallelism**: The level of request parallelism for VertexAI model interactions, defaulting to `5`. +- **temperature**: Adjusts the randomness level in text generations, defaulting to `0`. +- **top_k**: The setting for selecting the top-k tokens for outputs. +- **top_p**: The threshold for summing probabilities of the most likely tokens, defaulting to `0.95`. +- **tuned_model_name**: Specifies a tuned model name, which overrides the default model name if provided. +- **verbose**: Controls the output verbosity to assist in debugging and understanding the operational details, defaulting to `False`. -### LlamaCpp - -The `LlamaCpp` component provides access to the `llama.cpp` models. - - -Make sure to have the `llama.cpp` python package installed. Learn more about installation, supported models, and usage [here](https://github.com/ggerganov/llama.cpp). - - -- **echo:** Whether to echo the prompt – defaults to `False`. -- **f16_kv:** Use half-precision for key/value cache – defaults to `True`. -- **last_n_tokens_size:** The number of tokens to look back at when applying the repeat_penalty. Defaults to `64`. -- **logits_all:** Return logits for all tokens, not just the last token Defaults to `False`. -- **logprobs:** The number of logprobs to return. If None, no logprobs are returned. -- **lora_base:** The path to the Llama LoRA base model. -- **lora_path:** The path to the Llama LoRA. If None, no LoRa is loaded. -- **max_tokens:** The maximum number of tokens to generate. Defaults to `256`. -- **model_path:** The path to the Llama model file. -- **n_batch:** Number of tokens to process in parallel. Should be a number between 1 and n_ctx. Defaults to `8`. -- **n_ctx:** Token context window. Defaults to `512`. -- **n_gpu_layers:** Number of layers to be loaded into GPU memory. Default None. -- **n_parts:**Number of parts to split the model into. If -1, the number of parts is automatically determined. Defaults to `-1`. -- **n_threads:** Number of threads to use. If None, the number of threads is automatically determined. -- **repeat_penalty:** The penalty to apply to repeated tokens. Defaults to `1.1`. -- **seed:** Seed. If -1, a random seed is used. Defaults to `-1`. -- **stop:** A list of strings to stop generation when encountered. -- **streaming:** Whether to stream the results, token by token. Defaults to `True`. -- **suffix:** A suffix to append to the generated text. If None, no suffix is appended. -- **tags:** Tags to add to the run trace. -- **temperature:** The temperature to use for sampling. Defaults to `0.8`. -- **top_k:** The top-k value to use for sampling. Defaults to `40`. -- **top_p:** The top-p value to use for sampling. Defaults to `0.95`. -- **use_mlock:** Force the system to keep the model in RAM. Defaults to `False`. -- **use_mmap:** Whether to keep the model loaded in RAM. Defaults to `True`. -- **verbose:** This parameter is used to control the level of detail in the output of the chain. When set to True, it will print out some internal states of the chain while it is being run, which can help debug and understand the chain's behavior. If set to False, it will suppress the verbose output. Defaults to `False`. -- **vocab_only:** Only load the vocabulary, no weights. Defaults to `False`. - ---- - -### OpenAI - -Wrapper around [OpenAI's](https://openai.com) large language models. - -- **max_tokens:** The maximum number of tokens to generate in the completion. `-1` returns as many tokens as possible, given the prompt and the model's maximal context size – defaults to `256`. -- **model_kwargs:** Holds any model parameters valid for creating non-specified calls. -- **model_name:** Defines the OpenAI model to be used. -- **openai_api_base:** Used to specify the base URL for the OpenAI API. It is typically set to the API endpoint provided by the OpenAI service. -- **openai_api_key:** Key used to authenticate and access the OpenAI API. -- **temperature:** Tunes the degree of randomness in text generations. Should be a non-negative value – defaults to `0.7`. - ---- - -### VertexAI - -Wrapper around [Google Vertex AI](https://cloud.google.com/vertex-ai) large language models. - - -Vertex AI is a cloud computing platform offered by Google Cloud Platform (GCP). It provides access, management, and development of applications and services through global data centers. To use Vertex AI PaLM, you need to have the [google-cloud-aiplatform](https://pypi.org/project/google-cloud-aiplatform/) Python package installed and credentials configured for your environment. - - -- **credentials:** The default custom credentials (google.auth.credentials.Credentials) to use. -- **location:** The default location to use when making API calls – defaults to `us-central1`. -- **max_output_tokens:** Token limit determines the maximum amount of text output from one prompt – defaults to `128`. -- **model_name:** The name of the Vertex AI large language model – defaults to `text-bison`. -- **project:** The default GCP project to use when making Vertex API calls. -- **request_parallelism:** The amount of parallelism allowed for requests issued to VertexAI models – defaults to `5`. -- **temperature:** Tunes the degree of randomness in text generations. Should be a non-negative value – defaults to `0`. -- **top_k:** How the model selects tokens for output, the next token is selected from – defaults to `40`. -- **top_p:** Tokens are selected from most probable to least until the sum of their – defaults to `0.95`. -- **tuned_model_name:** The name of a tuned model. If provided, model_name is ignored. -- **verbose:** This parameter is used to control the level of detail in the output of the chain. When set to True, it will print out some internal states of the chain while it is being run, which can help debug and understand the chain's behavior. If set to False, it will suppress the verbose output – defaults to `False`. - ---- - -### ChatVertexAI - -Wrapper around [Google Vertex AI](https://cloud.google.com/vertex-ai) large language models. - - -Vertex AI is a cloud computing platform offered by Google Cloud Platform (GCP). It provides access, management, and development of applications and services through global data centers. To use Vertex AI PaLM, you need to have the [google-cloud-aiplatform](https://pypi.org/project/google-cloud-aiplatform/) Python package installed and credentials configured for your environment. - - -- **credentials:** The default custom credentials (google.auth.credentials.Credentials) to use. -- **location:** The default location to use when making API calls – defaults to `us-central1`. -- **max_output_tokens:** Token limit determines the maximum amount of text output from one prompt – defaults to `128`. -- **model_name:** The name of the Vertex AI large language model – defaults to `text-bison`. -- **project:** The default GCP project to use when making Vertex API calls. -- **request_parallelism:** The amount of parallelism allowed for requests issued to VertexAI models – defaults to `5`. -- **temperature:** Tunes the degree of randomness in text generations. Should be a non-negative value – defaults to `0`. -- **top_k:** How the model selects tokens for output, the next token is selected from – defaults to `40`. -- **top_p:** Tokens are selected from most probable to least until the sum of their – defaults to `0.95`. -- **tuned_model_name:** The name of a tuned model. If provided, model_name is ignored. -- **verbose:** This parameter is used to control the level of detail in the output of the chain. When set to True, it will print out some internal states of the chain while it is being run, which can help debug and understand the chain's behavior. If set to False, it will suppress the verbose output – defaults to `False`. \ No newline at end of file +--- \ No newline at end of file diff --git a/docs/docs/components/outputs.mdx b/docs/docs/components/outputs.mdx index 6fe3f9d2a..a8947e60e 100644 --- a/docs/docs/components/outputs.mdx +++ b/docs/docs/components/outputs.mdx @@ -2,36 +2,33 @@ import Admonition from '@theme/Admonition'; # Outputs -### Chat Output +## Chat Output -This component is designed to send a message to the chat. +This component sends a message to the chat. -**Params** +**Parameters** -- **Sender Type:** specifies the sender type. Defaults to _`"Machine"`_. Options are _`"Machine"`_ and _`"User"`_. +- **Sender Type:** Specifies the sender type. Default is `"Machine"`. Options are `"Machine"` and `"User"`. -- **Sender Name:** specifies the name of the sender. Defaults to _`"AI"`_. +- **Sender Name:** Specifies the sender's name. Default is `"AI"`. -- **Session ID:** specifies the session ID of the chat history. If provided, the message will be saved in the Message History. +- **Session ID:** Specifies the session ID of the chat history. If provided, messages are saved in the Message History. -- **Message:** specifies the message text. +- **Message:** Specifies the text of the message.

- If _`As Record`_ is _`true`_ and the _`Message`_ is a _`Record`_, the data of the _`Record`_ will be updated with the _`Sender`_, _`Sender Name`_, and _`Session ID`_. + If `As Record` is `true` and the `Message` is a `Record`, the data in the `Record` is updated with the `Sender`, `Sender Name`, and `Session ID`.

-### Text Output +## Text Output -This component is designed to display text data to the user. It's particularly useful for scenarios where you don't want to send the text data to the chat, but still want to display it. +This component displays text data to the user. It is useful when you want to show text without sending it to the chat. -**Params** +**Parameters** -- **Value:** Specifies the text data to be displayed. This is where the text data to be displayed is provided. If no value is provided, it defaults to an empty string. +- **Value:** Specifies the text data to be displayed. Defaults to an empty string. - -

- The `TextOutput` component serves as a straightforward means for displaying text data. It ensures that textual data can be seamlessly observed in the chat window throughout your flow. -

-
\ No newline at end of file + +The `TextOutput` component provides a simple way to display text data. It allows textual data to be visible in the chat window during your interaction flow. diff --git a/docs/docs/components/prompts.mdx b/docs/docs/components/prompts.mdx index 0b1ad705c..19fdedf11 100644 --- a/docs/docs/components/prompts.mdx +++ b/docs/docs/components/prompts.mdx @@ -2,26 +2,24 @@ import Admonition from "@theme/Admonition"; # Prompts - +

- We appreciate your understanding as we polish our documentation – it may - contain some rough edges. Share your feedback or report issues to help us - improve! 🛠️📝 + Thank you for your patience as we refine our documentation. It may + still have some areas under development. Please share your feedback or report any issues to help us improve!

-A prompt refers to the input given to a language model. It is constructed from multiple components and can be parametrized using prompt templates. A prompt template is a reproducible way to generate prompts and allow for easy customization through input variables. +A prompt is the input provided to a language model, consisting of multiple components and can be parameterized using prompt templates. A prompt template offers a reproducible method for generating prompts, enabling easy customization through input variables. --- ### PromptTemplate -The `PromptTemplate` component allows users to create prompts and define variables that provide control over instructing the model. The template can take in a set of variables from the end user and generates the prompt once the conversation is initiated. +The `PromptTemplate` component enables users to create prompts and define variables that control how the model is instructed. Users can input a set of variables which the template uses to generate the prompt when a conversation starts. - Once a variable is defined in the prompt template, it becomes a component - input of its own. Check out [Prompt - Customization](../guidelines/prompt-customization) to learn more. + After defining a variable in the prompt template, it acts as its own component + input. See [Prompt Customization](../administration/prompt-customization) for more details. -- **template:** Template used to format an individual request. +- **template:** The template used to format an individual request. diff --git a/docs/docs/components/retrievers.mdx b/docs/docs/components/retrievers.mdx index bc5ec74c1..825842df7 100644 --- a/docs/docs/components/retrievers.mdx +++ b/docs/docs/components/retrievers.mdx @@ -4,21 +4,21 @@ import Admonition from '@theme/Admonition';

- We appreciate your understanding as we polish our documentation – it may contain some rough edges. Share your feedback or report issues to help us improve! 🛠️📝 + We appreciate your patience as we enhance our documentation. It may have some imperfections. Please share your feedback or report issues to help us improve. 🛠️📝

-A retriever is an interface that returns documents given an unstructured query. It is more general than a vector store and does not need to be able to store documents, only to return or retrieve them. +A retriever is an interface that returns documents in response to an unstructured query. It's broader than a vector store because it doesn't need to store documents; it only needs to retrieve them. --- ### MultiQueryRetriever -The `MultiQueryRetriever` component automates the process of generating multiple queries, retrieves relevant documents for each query, and combines the results to provide a more extensive and diverse set of potentially relevant documents. This approach enhances the effectiveness of the retrieval process and helps overcome the limitations of traditional distance-based retrieval methods. +The `MultiQueryRetriever` automates generating multiple queries, retrieves relevant documents for each query, and aggregates the results. This method improves retrieval effectiveness and addresses the limitations of traditional distance-based methods. -**Params** +**Parameters** -- **LLM:** Language Model to use in the `MultiQueryRetriever`. -- **Prompt:** Prompt to represent a schema for an LLM. -- **Retriever:** The retriever used to fetch documents. -- **parser_key:** This parameter is used to specify the key or attribute name of the parsed output that will be used for retrieval. It determines how the results from the language model are split into a list of queries. Defaults to `lines`, which means that the output from the language model will be split into a list of lines of text. This allows the retriever to retrieve relevant documents based on each line of text separately. +- **LLM:** Specifies the language model used in the `MultiQueryRetriever`. +- **Prompt:** Defines a schema for the LLM. +- **Retriever:** Identifies the retriever that fetches documents. +- **parser_key:** Specifies the key or attribute name of the parsed output for retrieval. By default, it's set to `lines`, meaning the output from the language model is split into separate lines of text. This allows the retriever to fetch documents relevant to each line of text. diff --git a/docs/docs/components/text-splitters.mdx b/docs/docs/components/text-splitters.mdx index c6efe4553..6e3925ee2 100644 --- a/docs/docs/components/text-splitters.mdx +++ b/docs/docs/components/text-splitters.mdx @@ -4,60 +4,47 @@ import Admonition from "@theme/Admonition";

- We appreciate your understanding as we polish our documentation – it may - contain some rough edges. Share your feedback or report issues to help us - improve! 🛠️📝 + Thank you for your patience as we enhance our documentation. It might + currently have some rough edges. Please share your feedback or report any + issues to assist us in improving! 🛠️📝

-A text splitter is a tool that divides a document or text into smaller chunks or segments. It is used to break down large texts into more manageable pieces for analysis or processing. +A text splitter is a tool that divides a document or text into smaller chunks or segments. This helps make large texts more manageable for analysis or processing. --- ### CharacterTextSplitter -The `CharacterTextSplitter` is used to split a long text into smaller chunks based on a specified character. It splits the text by trying to keep paragraphs, sentences, and words together as long as possible, as these are semantically related pieces of text. +The `CharacterTextSplitter` splits a long text into smaller chunks based on a specified character. It aims to keep paragraphs, sentences, and words intact as much as possible since these are semantically related elements of text. -**Params** +**Parameters** -- **Documents:** Input documents to split. - -- **chunk_overlap:** Determines the number of characters that overlap between consecutive chunks when splitting text. It specifies how much of the previous chunk should be included in the next chunk. - - For example, if the `chunk_overlap` is set to 20 and the `chunk_size` is set to 100, the splitter will create chunks of 100 characters each, but the last 20 characters of each chunk will overlap with the first 20 characters of the next chunk. This allows for a smoother transition between chunks and ensures that no information is lost – defaults to `200`. - -- **chunk_size:** Determines the maximum number of characters in each chunk when splitting a text. It specifies the size or length of each chunk. - - For example, if the chunk_size is set to 100, the splitter will create chunks of 100 characters each. If the text is longer than 100 characters, it will be divided into multiple chunks of equal size, except for the last chunk, which may be smaller if there are remaining characters –defaults to `1000`. - -- **separator:** Specifies the character that will be used to split the text into chunks – defaults to `.` +- **Documents:** The input documents to split. +- **chunk_overlap:** The number of characters that overlap between consecutive chunks. This setting ensures a smoother transition between chunks and prevents information loss. For example, with a `chunk_overlap` of 20 and a `chunk_size` of 100, each chunk will have the last 20 characters overlap with the next chunk's first 20 characters. The default is `200`. +- **chunk_size:** The maximum number of characters in each chunk. If the text exceeds the specified `chunk_size`, it will be divided into multiple chunks of equal size, with the possible exception of the last chunk, which may be smaller if fewer characters remain. The default is `1000`. +- **separator:** The character used to split the text into chunks. The default is `.`. --- ### RecursiveCharacterTextSplitter -The `RecursiveCharacterTextSplitter` splits the text by trying to keep paragraphs, sentences, and words together as long as possible, similar to the `CharacterTextSplitter`. However, it also recursively splits the text into smaller chunks if the chunk size exceeds a specified threshold. +The `RecursiveCharacterTextSplitter` functions similarly to the `CharacterTextSplitter` by trying to keep paragraphs, sentences, and words together. It also recursively splits the text into smaller chunks if the initial chunk size exceeds a specified threshold. -**Params** +**Parameters** -- **Documents:** Input documents to split. - -- **chunk_overlap:** Determines the number of characters that overlap between consecutive chunks when splitting text. It specifies how much of the previous chunk should be included in the next chunk. - -- **chunk_size:** Determines the maximum number of characters in each chunk when splitting a text. It specifies the size or length of each chunk. - -- **separators:** The `separators` in RecursiveCharacterTextSplitter are the characters used to split the text into chunks. The text splitter tries to create chunks based on splitting on the first character in the list of `separators`. If any chunks are too large, it moves on to the next character in the list and continues splitting. Defaults to ["\n\n", "\n", " ", ""]. +- **Documents:** The input documents to split. +- **chunk_overlap:** The number of characters that overlap between consecutive chunks. +- **chunk_size:** The maximum number of characters in each chunk. +- **separators:** A list of characters used to split the text into chunks. The splitter first tries to split text using the first character in the `separators` list. If any chunk exceeds the maximum size, it proceeds to the next character in the list and continues splitting. The defaults are ["\n\n", "\n", " ", ""]. ### LanguageRecursiveTextSplitter -The `LanguageRecursiveTextSplitter` is a text splitter that splits the text into smaller chunks based on the (programming) language of the text. +The `LanguageRecursiveTextSplitter` divides text into smaller chunks based on the programming language of the text. -**Params** +**Parameters** -- **Documents:** Input documents to split. - -- **chunk_overlap:** Determines the number of characters that overlap between consecutive chunks when splitting text. It specifies how much of the previous chunk should be included in the next chunk. - -- **chunk_size:** Determines the maximum number of characters in each chunk when splitting a text. It specifies the size or length of each chunk. - -- **separator_type:** The parameter allows the user to split the code with multiple language support. It supports various languages such as Ruby, Python, Solidity, Java, and more. Defaults to `Python`. +- **Documents:** The input documents to split. +- **chunk_overlap:** The number of characters that overlap between consecutive chunks. +- **chunk_size:** The maximum number of characters in each chunk. +- **separator_type:** This parameter allows splitting text across multiple programming languages such as Ruby, Python, Solidity, Java, and more. The default is `Python`. diff --git a/docs/docs/components/tools.mdx b/docs/docs/components/tools.mdx index 40fb2c5c2..940c304eb 100644 --- a/docs/docs/components/tools.mdx +++ b/docs/docs/components/tools.mdx @@ -4,75 +4,68 @@ import Admonition from '@theme/Admonition';

- We appreciate your understanding as we polish our documentation – it may contain some rough edges. Share your feedback or report issues to help us improve! 🛠️📝 + Thanks for your patience as we refine our documentation. It might have some rough edges currently. Please share your feedback or report issues to help us enhance it! 🛠️📝

- ### SearchApi -Real-time search engine results API. Returns structured JSON data that includes answer box, knowledge graph, organic results, and more. +SearchApi offers a real-time search engine results API that returns structured JSON data, including answer boxes, knowledge graphs, organic results, and more. -**Parameters** +#### Parameters -- **Api Key:** A unique identifier for the SearchApi, necessary for authenticating requests to real-time search engines. This key can be retrieved from the [SearchApi dashboard](https://www.searchapi.io/). -- **Engine:** Specifies the search engine. For instance: google, google_scholar, bing, youtube, and youtube_transcripts. A full list of supported engines is available in the [documentation](https://www.searchapi.io/docs/google). -- **Parameters:** Allows the selection of any parameters recognized by SearchApi, with some being required and others optional. +- **Api Key:** A unique identifier required for authentication with real-time search engines, obtainable through the [SearchApi dashboard](https://www.searchapi.io/). +- **Engine:** Specifies the search engine used, such as Google, Google Scholar, Bing, YouTube, and YouTube transcripts. Refer to the [documentation](https://www.searchapi.io/docs/google) for a complete list of supported engines. +- **Parameters:** Allows the selection of various parameters recognized by SearchApi. Some parameters are mandatory while others are optional. -**Output** - -- **Document:** The JSON response from the request as a Document. +#### Output +- **Document:** The JSON response from the request. ### BingSearchRun -Bing Search is a web search engine owned and operated by Microsoft. It provides search results for various types of content, including web pages, images, videos, and news articles. It uses a combination of algorithms and human editors to deliver search results to users. +Bing Search, a web search engine by Microsoft, provides search results for various content types like web pages, images, videos, and news articles. It combines algorithms and human editors to deliver these results. -**Params** - -- **Api Wrapper:** A BingSearchAPIWrapper component that takes the search URL and a subscription key. +#### Parameters +- **Api Wrapper:** A BingSearchAPIWrapper component that processes the search URL and subscription key. ### Calculator -The calculator tool provides mathematical calculation capabilities to an agent by leveraging an LLMMathChain. It allows the agent to perform math when needed to answer questions. +The calculator tool leverages an LLMMathChain to provide mathematical calculation capabilities, enabling the agent to perform computations as needed. -**Params** - -- **LLM:** Language Model to use in the calculation. +#### Parameters +- **LLM:** The Language Model used for calculations. ### GoogleSearchResults -A wrapper around Google Search. Useful for when the user needs to answer questions about with more control over the JSON data returned from the API. It returns the full JSON response configured based on the parameters passed to the API wrapper. +This is a wrapper around Google Search tailored for users who need precise control over the JSON data returned from the API. -**Params** - -- **Api Wrapper:** A GoogleSearchAPIWrapper with Google API key and CSE ID +#### Parameters +- **Api Wrapper:** A GoogleSearchAPIWrapper equipped with a Google API key and CSE ID. ### GoogleSearchRun -A quick wrapper around Google Search. It executes the search query and returns just the first result snippet from the highest-priority result type. +This tool acts as a quick wrapper around Google Search, executing the search query and returning the snippet from the most relevant result. -**Params** - -- **Api Wrapper:** A GoogleSearchAPIWrapper with Google API key and CSE ID +#### Parameters +- **Api Wrapper:** A GoogleSearchAPIWrapper equipped with a Google API key and CSE ID. ### GoogleSerperRun -A low-cost Google Search API. +A cost-effective Google Search API. -**Params** - -- **Api Wrapper:** A GoogleSerperAPIWrapper component with API key and result keys +#### Parameters +- **Api Wrapper:** A GoogleSerperAPIWrapper with the required API key and result keys. ### InfoSQLDatabaseTool -Tool for getting metadata about a SQL database. The input to this tool is a comma-separated list of tables, and the output is the schema and sample rows for those tables. Example Input: `“table1`, `table2`, `table3”`. +This tool retrieves metadata about SQL databases. It takes a comma-separated list of table names as input and outputs the schema and sample rows for those tables. -**Params** +#### Parameters -- **Db:** SQLDatabase to query. +- **Db:** The SQL database to query. diff --git a/docs/docs/components/utilities.mdx b/docs/docs/components/utilities.mdx index e8c2ba216..5f2a86d4d 100644 --- a/docs/docs/components/utilities.mdx +++ b/docs/docs/components/utilities.mdx @@ -2,95 +2,91 @@ import Admonition from "@theme/Admonition"; # Utilities - -

- We appreciate your understanding as we polish our documentation – it may - contain some rough edges. Share your feedback or report issues to help us - improve! 🛠️📝 -

+ + We appreciate your understanding as we polish our documentation—it may + contain some rough edges. Share your feedback or report issues to help us + improve! 🛠️📝 Utilities are a set of actions that can be used to perform common tasks in a flow. They are available in the **Utilities** section in the sidebar. --- -### GET Request +### GET request -Make a GET request to the given URL. +Make a GET request to the specified URL. -**Params** +**Parameters** -- **URL:** The URL to make the request to. There can be more than one URL, in which case the request will be made to each URL in order. +- **URL:** The URL to make the request to. If there are multiple URLs, the request will be made to each URL in order. - **Headers:** A dictionary of headers to send with the request. **Output** -- **List of Documents:** A list of Documents containing the JSON response from each request. +- **List of documents:** A list of documents containing the JSON response from each request. --- -### POST Request +### POST request -Make a POST request to the given URL. +Make a POST request to the specified URL. -**Params** +**Parameters** - **URL:** The URL to make the request to. - **Headers:** A dictionary of headers to send with the request. -- **Document:** The Document containing a JSON object to send with the request. +- **Document:** The document containing a JSON object to send with the request. **Output** -- **Document:** The JSON response from the request as a Document. +- **Document:** The JSON response from the request as a document. --- -### Update Request +### Update request -Make a PATCH or PUT request to the given URL. +Make a PATCH or PUT request to the specified URL. -**Params** +**Parameters** - **URL:** The URL to make the request to. - **Headers:** A dictionary of headers to send with the request. -- **Document:** The Document containing a JSON object to send with the request. -- **Method:** The HTTP method to use for the request. Can be either `PATCH` or `PUT`. +- **Document:** The document containing a JSON object to send with the request. +- **Method:** The HTTP method to use for the request, either `PATCH` or `PUT`. **Output** -- **Document:** The JSON response from the request as a Document. +- **Document:** The JSON response from the request as a document. --- -### JSON Document Builder +### JSON document builder -Build a Document containing a JSON object using a key and another Document page content. +Build a document containing a JSON object using a key and another document page content. -**Params** +**Parameters** - **Key:** The key to use for the JSON object. -- **Document:** The Document page to use for the JSON object. +- **Document:** The document page to use for the JSON object. **Output** -- **List of Documents:** A list containing the Document with the JSON object. +- **List of documents:** A list containing the document with the JSON object. -## Unique ID Generator +## Unique ID generator Generates a unique identifier (UUID) for each instance it is invoked, providing a distinct and reliable identifier suitable for a variety of applications. -**Params** +**Parameters** -- **Value:** This field displays the generated unique identifier (UUID). The UUID is generated dynamically for each instance of the component, ensuring uniqueness across different uses. +- **Value:** This field displays the generated unique identifier (UUID). The UUID is dynamically generated for each instance of the component, ensuring uniqueness across different uses. **Output** - Returns a unique identifier (UUID) as a string. This UUID is generated using Python's `uuid` module, ensuring that each identifier is unique and can be used as a reliable reference in your application. -

- The Unique ID Generator is crucial for scenarios requiring distinct identifiers, such as session management, transaction tracking, or any context where different instances or entities must be uniquely identified. The generated UUID is provided as a hexadecimal string, offering a high level of uniqueness and security for identification purposes. -

+ The Unique ID Generator is crucial for scenarios requiring distinct identifiers, such as session management, transaction tracking, or any context where different instances or entities must be uniquely identified. The generated UUID is provided as a hexadecimal string, offering a high level of uniqueness and security for identification purposes.
For additional information and examples, please consult the [Langflow Components Custom Documentation](http://docs.langflow.org/components/custom). diff --git a/docs/docs/components/vector-stores.mdx b/docs/docs/components/vector-stores.mdx index 103d755b4..7e21f1021 100644 --- a/docs/docs/components/vector-stores.mdx +++ b/docs/docs/components/vector-stores.mdx @@ -1,119 +1,78 @@ import Admonition from "@theme/Admonition"; -# Vector Stores +# Vector Stores Documentation ### Astra DB -The `Astra DB` is a component for initializing an Astra DB Vector Store from Records. It facilitates the creation of Astra DB-based vector indexes for efficient document storage and retrieval. +The `Astra DB` initializes a vector store using Astra DB from records. It creates Astra DB-based vector indexes to efficiently store and retrieve documents. -**Params** +**Parameters:** -- **Input:** The input documents or records. - -- **Embedding:** The embedding model used by Astra DB. - -- **Collection Name:** The name of the collection in Astra DB. - -- **Token:** The token for Astra DB. - -- **API Endpoint:** The API endpoint for Astra DB. - -- **Namespace:** The namespace in Astra DB. - -- **Metric:** The metric to use in Astra DB. - -- **Batch Size:** The batch size for Astra DB. - -- **Bulk Insert Batch Concurrency:** The bulk insert batch concurrency for Astra DB. - -- **Bulk Insert Overwrite Concurrency:** The bulk insert overwrite concurrency for Astra DB. - -- **Bulk Delete Concurrency:** The bulk delete concurrency for Astra DB. - -- **Setup Mode:** The setup mode for the vector store. - -- **Pre Delete Collection:** Pre delete collection. - -- **Metadata Indexing Include:** Metadata indexing include. - -- **Metadata Indexing Exclude:** Metadata indexing exclude. - -- **Collection Indexing Policy:** Collection indexing policy. +- **Input:** Documents or records for input. +- **Embedding:** Embedding model Astra DB uses. +- **Collection Name:** Name of the Astra DB collection. +- **Token:** Authentication token for Astra DB. +- **API Endpoint:** API endpoint for Astra DB. +- **Namespace:** Astra DB namespace. +- **Metric:** Metric used by Astra DB. +- **Batch Size:** Batch size for operations. +- **Bulk Insert Batch Concurrency:** Concurrency level for bulk inserts. +- **Bulk Insert Overwrite Concurrency:** Concurrency level for overwriting during bulk inserts. +- **Bulk Delete Concurrency:** Concurrency level for bulk deletions. +- **Setup Mode:** Setup mode for the vector store. +- **Pre Delete Collection:** Option to delete the collection before setup. +- **Metadata Indexing Include:** Fields to include in metadata indexing. +- **Metadata Indexing Exclude:** Fields to exclude from metadata indexing. +- **Collection Indexing Policy:** Indexing policy for the collection. -

- Ensure that the required Astra DB token and API endpoint are properly configured. -

- + Ensure you configure the necessary Astra DB token and API endpoint before + starting.
--- ### Astra DB Search -The `Astra DBSearch` is a component for searching an existing Astra DB Vector Store for similar documents. It extends the functionality of the `Astra DB` component to provide efficient document retrieval based on similarity metrics. +`Astra DBSearch` searches an existing Astra DB vector store for documents similar to the input. It uses the `Astra DB` component's functionality for efficient retrieval. -**Params** +**Parameters:** -- **Search Type:** The type of search to perform (e.g., Similarity, MMR). - -- **Input Value:** The input value to search for. - -- **Embedding:** The embedding model used by Astra DB. - -- **Collection Name:** The name of the collection in Astra DB. - -- **Token:** The token for Astra DB. - -- **API Endpoint:** The API endpoint for Astra DB. - -- **Namespace:** The namespace in Astra DB. - -- **Metric:** The metric to use in Astra DB. - -- **Batch Size:** The batch size for Astra DB. - -- **Bulk Insert Batch Concurrency:** The bulk insert batch concurrency for Astra DB. - -- **Bulk Insert Overwrite Concurrency:** The bulk insert overwrite concurrency for Astra DB. - -- **Bulk Delete Concurrency:** The bulk delete concurrency for Astra DB. - -- **Setup Mode:** The setup mode for the vector store. - -- **Pre Delete Collection:** Pre delete collection. - -- **Metadata Indexing Include:** Metadata indexing include. - -- **Metadata Indexing Exclude:** Metadata indexing exclude. - -- **Collection Indexing Policy:** Collection indexing policy. +- **Search Type:** Type of search, such as Similarity or MMR. +- **Input Value:** Value to search for. +- **Embedding:** Embedding model Astra DB uses. +- **Collection Name:** Name of the Astra DB collection. +- **Token:** Authentication token for Astra DB. +- **API Endpoint:** API endpoint for Astra DB. +- **Namespace:** Astra DB namespace. +- **Metric:** Metric used by Astra DB. +- **Batch Size:** Batch size for operations. +- **Bulk Insert Batch Concurrency:** Concurrency level for bulk inserts. +- **Bulk Insert Overwrite Concurrency:** Concurrency level for overwriting during bulk inserts. +- **Bulk Delete Concurrency:** Concurrency level for bulk deletions. +- **Setup Mode:** Setup mode for the vector store. +- **Pre Delete Collection:** Option to delete the collection before setup. +- **Metadata Indexing Include:** Fields to include in metadata indexing. +- **Metadata Indexing Exclude:** Fields to exclude from metadata indexing. +- **Collection Indexing Policy:** Indexing policy for the collection. --- ### Chroma -The `Chroma` is a component designed for implementing a Vector Store using Chroma. This component allows users to utilize Chroma for efficient vector storage and retrieval within their language processing workflows. +`Chroma` sets up a vector store using Chroma for efficient vector storage and retrieval within language processing workflows. -**Params** - -- **Collection Name:** The name of the collection. - -- **Persist Directory:** The directory to persist the Vector Store to. - -- **Server CORS Allow Origins (Optional):** The CORS allow origins for the Chroma server. - -- **Server Host (Optional):** The host for the Chroma server. - -- **Server Port (Optional):** The port for the Chroma server. - -- **Server gRPC Port (Optional):** The gRPC port for the Chroma server. - -- **Server SSL Enabled (Optional):** Whether to enable SSL for the Chroma server. +**Parameters:** +- **Collection Name:** Name of the collection. +- **Persist Directory:** Directory to persist the Vector Store. +- **Server CORS Allow Origins (Optional):** CORS allow origins for the Chroma server. +- **Server Host (Optional):** Host for the Chroma server. +- **Server Port (Optional):** Port for the Chroma server. +- **Server gRPC Port (Optional):** gRPC port for the Chroma server. +- **Server SSL Enabled (Optional):** SSL configuration for the Chroma server. - **Input:** Input data for creating the Vector Store. - -- **Embedding:** The embeddings to use for the Vector Store. +- **Embedding:** Embeddings used for the Vector Store. For detailed documentation and integration guides, please refer to the [Chroma Component Documentation](https://python.langchain.com/docs/integrations/vectorstores/chroma). @@ -121,515 +80,375 @@ For detailed documentation and integration guides, please refer to the [Chroma C ### Chroma Search -The `ChromaSearch` is a component designed for searching a Chroma collection for similar documents. This component integrates with Chroma to facilitate efficient document retrieval based on similarity metrics. +`ChromaSearch` searches a Chroma collection for documents similar to the input text. It leverages Chroma to ensure efficient document retrieval. -**Params** +**Parameters:** -- **Input:** The input text to search for similar documents. +- **Input:** Input text for search. +- **Search Type:** Type of search, such as Similarity or MMR. +- **Collection Name:** Name of the Chroma collection. +- **Index Directory:** Directory where the Chroma index is stored. +- **Embedding:** Embedding model used for vectorization. +- **Server CORS Allow Origins (Optional):** CORS allow origins for the Chroma server. +- **Server Host (Optional):** Host for the Chroma server. +- **Server Port (Optional):** Port for the Chroma server. +- **Server gRPC Port (Optional):** gRPC port for the Chroma server. +- **Server SSL Enabled (Optional):** SSL configuration for the Chroma server. -- **Search Type:** The type of search to perform ("Similarity" or "MMR"). +--- -- **Collection Name:** The name of the Chroma collection. +### Couchbase -- **Index Directory:** The directory where the Chroma index is stored. +`Couchbase` builds a Couchbase vector store from records, streamlining the storage and retrieval of documents. -- **Embedding:** The embedding model used to vectorize inputs (make sure to use the same as the index). +**Parameters:** -- **Server CORS Allow Origins (Optional):** The CORS allow origins for the Chroma server. +- **Embedding:** Model used by Couchbase. +- **Input:** Documents or records. +- **Couchbase Cluster Connection String:** Cluster Connection string. +- **Couchbase Cluster Username:** Cluster Username. +- **Couchbase Cluster Password:** Cluster Password. +- **Bucket Name:** Bucket identifier in Couchbase. +- **Scope Name:** Scope identifier in Couchbase. +- **Collection Name:** Collection identifier in Couchbase. +- **Index Name:** Index identifier. -- **Server Host (Optional):** The host for the Chroma server. +For detailed documentation and integration guides, please refer to the [Couchbase Component Documentation](https://python.langchain.com/docs/integrations/vectorstores/couchbase). -- **Server Port (Optional):** The port for the Chroma server. +--- -- **Server gRPC Port (Optional):** The gRPC port for the Chroma server. +### Couchbase Search -- **Server SSL Enabled (Optional):** Whether SSL is enabled for the Chroma server. +`CouchbaseSearch` leverages the Couchbase component to search for documents based on similarity metric. + +**Parameters:** + +- **Input:** Search query. +- **Embedding:** Model used in the Vector Store. +- **Couchbase Cluster Connection String:** Cluster Connection string. +- **Couchbase Cluster Username:** Cluster Username. +- **Couchbase Cluster Password:** Cluster Password. +- **Bucket Name:** Bucket identifier. +- **Scope Name:** Scope identifier. +- **Collection Name:** Collection identifier in Couchbase. +- **Index Name:** Index identifier. --- ### FAISS -The `FAISS` is a component designed for ingesting documents into a FAISS Vector Store. It facilitates efficient document indexing and retrieval using the FAISS library. +The `FAISS` component manages document ingestion into a FAISS Vector Store, optimizing document indexing and retrieval. -**Params** +**Parameters:** -- **Embedding:** The embedding model used to vectorize inputs. +- **Embedding:** Model used for vectorizing inputs. +- **Input:** Documents to ingest. +- **Folder Path:** Save path for the FAISS index, relative to Langflow. +- **Index Name:** Index identifier. -- **Input:** The input documents to ingest into the FAISS Vector Store. - -- **Folder Path:** The path to save the FAISS index. It will be relative to where Langflow is running. - -- **Index Name:** The name of the FAISS index. - -For detailed documentation and integration guides, please refer to the [FAISS Component Documentation](https://faiss.ai/index.html). +For more details, see the [FAISS Component Documentation](https://faiss.ai/index.html). --- ### FAISS Search -The `FAISSSearch` is a component for searching a FAISS Vector Store for similar documents. It enables efficient document retrieval based on similarity metrics using FAISS. +`FAISSSearch` searches a FAISS Vector Store for documents similar to a given input, using similarity metrics for efficient retrieval. -**Params** +**Parameters:** -- **Embedding:** The embedding model used by the FAISS Vector Store. - -- **Folder Path:** The path from which to load the FAISS index. It will be relative to where Langflow is running. - -- **Input:** The input value to search for similar documents. - -- **Index Name:** The name of the FAISS index. +- **Embedding:** Model used in the FAISS Vector Store. +- **Folder Path:** Path to load the FAISS index from, relative to Langflow. +- **Input:** Search query. +- **Index Name:** Index identifier. --- ### MongoDB Atlas -The `MongoDBAtlas` is a component used to construct a MongoDB Atlas Vector Search vector store from Records. It facilitates the creation of MongoDB Atlas-based vector stores for efficient document storage and retrieval. +`MongoDBAtlas` builds a MongoDB Atlas-based vector store from records, streamlining the storage and retrieval of documents. -**Params** +**Parameters:** -- **Embedding:** The embedding model used by the MongoDB Atlas Vector Search. - -- **Input:** The input documents or records. - -- **Collection Name:** The name of the collection in the MongoDB Atlas database. - -- **Database Name:** The name of the database in MongoDB Atlas. - -- **Index Name:** The name of the index in MongoDB Atlas. - -- **MongoDB Atlas Cluster URI:** The URI of the MongoDB Atlas cluster. - -- **Search Kwargs:** Additional search arguments for MongoDB Atlas. +- **Embedding:** Model used by MongoDB Atlas. +- **Input:** Documents or records. +- **Collection Name:** Collection identifier in MongoDB Atlas. +- **Database Name:** Database identifier. +- **Index Name:** Index identifier. +- **MongoDB Atlas Cluster URI:** Cluster URI. +- **Search Kwargs:** Additional search parameters. -

Ensure that pymongo is installed to use MongoDB Atlas Vector Store.

+ Ensure pymongo is installed for using MongoDB Atlas Vector Store.
--- ### MongoDB Atlas Search -The `MongoDBAtlasSearch` is a component for searching a MongoDB Atlas Vector Store for similar documents. It extends the functionality of the MongoDBAtlasComponent to provide efficient document retrieval based on similarity metrics. +`MongoDBAtlasSearch` leverages the MongoDBAtlas component to search for documents based on similarity metrics. -**Params** +**Parameters:** -- **Search Type:** The type of search to perform. Options: "Similarity", "MMR". - -- **Input:** The input value to search for. - -- **Embedding:** The embedding model used by the MongoDB Atlas Vector Store. - -- **Collection Name:** The name of the collection in the MongoDB Atlas database. - -- **Database Name:** The name of the database in MongoDB Atlas. - -- **Index Name:** The name of the index in MongoDB Atlas. - -- **MongoDB Atlas Cluster URI:** The URI of the MongoDB Atlas cluster. - -- **Search Kwargs:** Additional search arguments for MongoDB Atlas. +- **Search Type:** Type of search, such as "Similarity" or "MMR". +- **Input:** Search query. +- **Embedding:** Model used in the Vector Store. +- **Collection Name:** Collection identifier. +- **Database Name:** Database identifier. +- **Index Name:** Index identifier. +- **MongoDB Atlas Cluster URI:** Cluster URI. +- **Search Kwargs:** Additional search parameters. --- ### PGVector -The `PGVector` is a component for implementing a Vector Store using PostgreSQL. It allows users to store and retrieve vectors efficiently within a PostgreSQL database. +`PGVector` integrates a Vector Store within a PostgreSQL database, allowing efficient storage and retrieval of vectors. -**Params** +**Parameters:** -- **Input:** The input value to use for the Vector Store. +- **Input:** Value for the Vector Store. +- **Embedding:** Model used. +- **PostgreSQL Server Connection String:** Server URL. +- **Table:** Table name in the PostgreSQL database. -- **Embedding:** The embedding model used by the Vector Store. - -- **PostgreSQL Server Connection String:** The URL for the PostgreSQL server. - -- **Table:** The name of the table in the PostgreSQL database. - -For detailed documentation and integration guides, please refer to the [PGVector Component Documentation](https://python.langchain.com/docs/integrations/vectorstores/pgvector). +For more details, see the [PGVector Component Documentation](https://python.langchain.com/docs/integrations/vectorstores/pgvector). -

- Ensure that the required PostgreSQL server is accessible and properly - configured. -

+ Ensure the PostgreSQL server is accessible and configured correctly.
--- ### PGVector Search -The `PGVectorSearch` is a component for searching a PGVector Store for similar documents. It extends the functionality of the PGVectorComponent to provide efficient document retrieval based on similarity metrics. +`PGVectorSearch` extends `PGVector` to search for documents based on similarity metrics. -**Params** +**Parameters:** -- **Input:** The input value to search for. - -- **Embedding:** The embedding model used by the Vector Store. - -- **PostgreSQL Server Connection String:** The URL for the PostgreSQL server. - -- **Table:** The name of the table in the PostgreSQL database. - -- **Search Type:** The type of search to perform (e.g., "Similarity", "MMR"). +- **Input:** Search query. +- **Embedding:** Model used. +- **PostgreSQL Server Connection String:** Server URL. +- **Table:** Table name. +- **Search Type:** Type of search, such as "Similarity" or "MMR". --- ### Pinecone -The `Pinecone` is a component used to construct a Pinecone wrapper from Records. It facilitates the creation of Pinecone-based vector indexes for efficient document storage and retrieval. +`Pinecone` constructs a Pinecone wrapper from records, setting up Pinecone-based vector indexes for document storage and retrieval. -**Params** +**Parameters:** -- **Input:** The input documents or records. - -- **Embedding:** The embedding model used by Pinecone. - -- **Index Name:** The name of the index in Pinecone. - -- **Namespace:** The namespace in Pinecone. - -- **Pinecone API Key:** The API key for Pinecone. - -- **Pinecone Environment:** The environment for Pinecone. - -- **Search Kwargs:** Additional search keyword arguments for Pinecone. - -- **Pool Threads:** The number of threads to use for Pinecone. +- **Input:** Documents or records. +- **Embedding:** Model used. +- **Index Name:** Index identifier. +- **Namespace:** Namespace used. +- **Pinecone API Key:** API key. +- **Pinecone Environment:** Environment settings. +- **Search Kwargs:** Additional search parameters. +- **Pool Threads:** Number of threads. -

- Ensure that the required Pinecone API key and environment are properly - configured. -

+ Ensure the Pinecone API key and environment are correctly configured.
--- ### Pinecone Search -The `PineconeSearch` is a component used to search a Pinecone Vector Store for similar documents. It extends the functionality of the `PineconeComponent` to provide efficient document retrieval based on similarity metrics. +`PineconeSearch` searches a Pinecone Vector Store for documents similar to the input, using advanced similarity metrics. -**Params** +**Parameters:** -- **Search Type:** The type of search to perform (e.g., Similarity, MMR). - -- **Input Value:** The input value to search for. - -- **Embedding:** The embedding model used by Pinecone. - -- **Index Name:** The name of the index in Pinecone. - -- **Namespace:** The namespace in Pinecone. - -- **Pinecone API Key:** The API key for Pinecone. - -- **Pinecone Environment:** The environment for Pinecone. - -- **Search Kwargs:** Additional search keyword arguments for Pinecone. - -- **Pool Threads:** The number of threads to use for Pinecone. +- **Search Type:** Type of search, such as "Similarity" or "MMR". +- **Input Value:** Search query. +- **Embedding:** Model used. +- **Index Name:** Index identifier. +- **Namespace:** Namespace used. +- **Pinecone API Key:** API key. +- **Pinecone Environment:** Environment settings. +- **Search Kwargs:** Additional search parameters. +- **Pool Threads:** Number of threads. --- ### Qdrant -The `Qdrant` is a component used to construct a Qdrant wrapper from a list of texts. It allows for efficient similarity search and retrieval operations based on the provided embeddings. +`Qdrant` allows efficient similarity searches and retrieval operations, using a list of texts to construct a Qdrant wrapper. -**Params** +**Parameters:** -- **Input:** The input documents or records. - -- **Embedding:** The embedding model used by Qdrant. - -- **API Key:** The API key for Qdrant (password field). - -- **Collection Name:** The name of the collection in Qdrant. - -- **Content Payload Key:** The key for the content payload in the documents (advanced). - -- **Distance Function:** The distance function to use in Qdrant (advanced). - -- **gRPC Port:** The gRPC port for Qdrant (advanced). - -- **Host:** The host for Qdrant (advanced). - -- **HTTPS:** Enable HTTPS for Qdrant (advanced). - -- **Location:** The location for Qdrant (advanced). - -- **Metadata Payload Key:** The key for the metadata payload in the documents (advanced). - -- **Path:** The path for Qdrant (advanced). - -- **Port:** The port for Qdrant (advanced). - -- **Prefer gRPC:** Prefer gRPC for Qdrant (advanced). - -- **Prefix:** The prefix for Qdrant (advanced). - -- **Search Kwargs:** Additional search keyword arguments for Qdrant (advanced). - -- **Timeout:** The timeout for Qdrant (advanced). - -- **URL:** The URL for Qdrant (advanced). +- **Input:** Documents or records. +- **Embedding:** Model used. +- **API Key:** Qdrant API key. +- **Collection Name:** Collection identifier. +- **Advanced Settings:** Includes content payload key, distance function, gRPC port, host, HTTPS, location, metadata payload key, path, port, prefer gRPC, prefix, search kwargs, timeout, URL. --- ### Qdrant Search -The `QdrantSearch` is a component used to search a Qdrant Vector Store for similar documents. It extends the functionality of the `QdrantComponent` to provide efficient document retrieval based on similarity metrics. +`QdrantSearch` extends `Qdrant` to search for documents similar to the input based on advanced similarity metrics. -**Params** +**Parameters:** -- **Search Type:** The type of search to perform (e.g., Similarity, MMR). - -- **Input Value:** The input value to search for. - -- **Embedding:** The embedding model used by Qdrant. - -- **API Key:** The API key for Qdrant (password field). - -- **Collection Name:** The name of the collection in Qdrant. - -- **Content Payload Key:** The key for the content payload in the documents (advanced). - -- **Distance Function:** The distance function to use in Qdrant (advanced). - -- **gRPC Port:** The gRPC port for Qdrant (advanced). - -- **Host:** The host for Qdrant (advanced). - -- **HTTPS:** Enable HTTPS for Qdrant (advanced). - -- **Location:** The location for Qdrant (advanced). - -- **Metadata Payload Key:** The key for the metadata payload in the documents (advanced). - -- **Path:** The path for Qdrant (advanced). - -- **Port:** The port for Qdrant (advanced). - -- **Prefer gRPC:** Prefer gRPC for Qdrant (advanced). - -- **Prefix:** The prefix for Qdrant (advanced). - -- **Search Kwargs:** Additional search keyword arguments for Qdrant (advanced). - -- **Timeout:** The timeout for Qdrant (advanced). - -- **URL:** The URL for Qdrant (advanced). +- **Search Type:** Type of search, such as "Similarity" or "MMR". +- **Input Value:** Search query. +- **Embedding:** Model used. +- **API Key:** Qdrant API key. +- **Collection Name:** Collection identifier. +- **Advanced Settings:** Includes content payload key, distance function, gRPC port, host, HTTPS, location, metadata payload key, path, port, prefer gRPC, prefix, search kwargs, timeout, URL. --- ### Redis -The `Redis` is a component for implementing a Vector Store using Redis. It provides functionality to store and retrieve vectors efficiently from a Redis database. +`Redis` manages a Vector Store in a Redis database, supporting efficient vector storage and retrieval. -**Params** +**Parameters:** -- **Index Name:** The name of the index in Redis (default: your_index). +- **Index Name:** Default index name. +- **Input:** Data for building the Redis Vector Store. +- **Embedding:** Model used. +- **Schema:** Optional schema file (.yaml) for document structure. +- **Redis Server Connection String:** Server URL. +- **Redis Index:** Optional index name. -- **Input:** The input data to build the Redis Vector Store (input types: Document, Record). - -- **Embedding:** The embedding model used by Redis. - -- **Schema:** The schema file (.yaml) to define the structure of the documents (optional). - -- **Redis Server Connection String:** The connection string for the Redis server. - -- **Redis Index:** The name of the Redis index (optional). - -For detailed documentation, please refer to the [Redis Documentation](https://python.langchain.com/docs/integrations/vectorstores/redis). +For detailed documentation, refer to the [Redis Documentation](https://python.langchain.com/docs/integrations/vectorstores/redis). -

- Ensure that the required Redis server connection URL and index name are - properly configured. If no documents are provided, a schema must be - provided. -

+ Ensure the Redis server URL and index name are configured correctly. Provide a + schema if no documents are available.
--- ### Redis Search -The `RedisSearch` is a component for searching a Redis Vector Store for similar documents. +`RedisSearch` searches a Redis Vector Store for documents similar to the input. -**Params** +**Parameters:** -- **Search Type:** The type of search to perform (e.g., Similarity, MMR). - -- **Input Value:** The input value to search for. - -- **Index Name:** The name of the index in Redis (default: your_index). - -- **Embedding:** The embedding model used by Redis. - -- **Schema:** The schema file (.yaml) to define the structure of the documents (optional). - -- **Redis Server Connection String:** The connection string for the Redis server. - -- **Redis Index:** The name of the Redis index (optional). +- **Search Type:** Type of search, such as "Similarity" or "MMR". +- **Input Value:** Search query. +- **Index Name:** Default index name. +- **Embedding:** Model used. +- **Schema:** Optional schema file (.yaml) for document structure. +- **Redis Server Connection String:** Server URL. +- **Redis Index:** Optional index name. --- ### Supabase -The `Supabase` is a component for initializing a Supabase Vector Store from texts and embeddings. +`Supabase` initializes a Supabase Vector Store from texts and embeddings, setting up an environment for efficient document retrieval. -**Params** +**Parameters:** -- **Input:** The input documents or records. - -- **Embedding:** The embedding model used by Supabase. - -- **Query Name:** The name of the query (optional). - -- **Search Kwargs:** Additional search keyword arguments for Supabase (advanced). - -- **Supabase Service Key:** The service key for Supabase. - -- **Supabase URL:** The URL for the Supabase instance. - -- **Table Name:** The name of the table in Supabase (advanced). +- **Input:** Documents or records. +- **Embedding:** Model used. +- **Query Name:** Optional query name. +- **Search Kwargs:** Advanced search parameters. +- **Supabase Service Key:** Service key. +- **Supabase URL:** Instance URL. +- **Table Name:** Optional table name. -

- Ensure that the required Supabase service key, Supabase URL, and table name - are properly configured. -

+ Ensure the Supabase service key, URL, and table name are properly configured.
--- ### Supabase Search -The `SupabaseSearch` is a component for searching a Supabase Vector Store for similar documents. +`SupabaseSearch` searches a Supabase Vector Store for documents similar to the input. -**Params** +**Parameters:** -- **Search Type:** The type of search to perform (e.g., Similarity, MMR). - -- **Input Value:** The input value to search for. - -- **Embedding:** The embedding model used by Supabase. - -- **Query Name:** The name of the query (optional). - -- **Search Kwargs:** Additional search keyword arguments for Supabase (advanced). - -- **Supabase Service Key:** The service key for Supabase. - -- **Supabase URL:** The URL for the Supabase instance. - -- **Table Name:** The name of the table in Supabase (advanced). +- **Search Type:** Type of search, such as "Similarity" or "MMR". +- **Input Value:** Search query. +- **Embedding:** Model used. +- **Query Name:** Optional query name. +- **Search Kwargs:** Advanced search parameters. +- **Supabase Service Key:** Service key. +- **Supabase URL:** Instance URL. +- **Table Name:** Optional table name. --- ### Vectara -The `Vectara` is a component for implementing a Vector Store using Vectara. +`Vectara` sets up a Vectara Vector Store from files or upserted data, optimizing document retrieval. -**Params** +**Parameters:** -- **Vectara Customer ID:** The customer ID for Vectara. +- **Vectara Customer ID:** Customer ID. +- **Vectara Corpus ID:** Corpus ID. +- **Vectara API Key:** API key. +- **Files Url:** Optional URLs for file initialization. +- **Input:** Optional data for corpus upsert. -- **Vectara Corpus ID:** The corpus ID for Vectara. - -- **Vectara API Key:** The API key for Vectara. - -- **Files Url:** The URL(s) of the file(s) to be used for initializing the Vectara Vector Store (optional). - -- **Input:** The input data to be upserted to the corpus (optional). - -For detailed documentation and integration guides, please refer to the [Vectara Component Documentation](https://python.langchain.com/docs/integrations/vectorstores/vectara). +For more information, consult the [Vectara Component Documentation](https://python.langchain.com/docs/integrations/vectorstores/vectara). -

- If `inputs` are provided, they will be upserted to the corpus. If - `files_url` are provided, Vectara will process the files from the URLs. -

+ If inputs or files_url are provided, they will be processed accordingly.
--- ### Vectara Search -The `VectaraSearch` is a component for searching a Vectara Vector Store for similar documents. +`VectaraSearch` searches a Vectara Vector Store for documents based on the provided input. -**Params** +**Parameters:** -- **Search Type:** The type of search to perform (e.g., Similarity, MMR). - -- **Input Value:** The input value to search for. - -- **Vectara Customer ID:** The customer ID for Vectara. - -- **Vectara Corpus ID:** The corpus ID for Vectara. - -- **Vectara API Key:** The API key for Vectara. - -- **Files Url:** The URL(s) of the file(s) to be used for initializing the Vectara Vector Store (optional). +- **Search Type:** Type of search, such as "Similarity" or "MMR". +- **Input Value:** Search query. +- **Vectara Customer ID:** Customer ID. +- **Vectara Corpus ID:** Corpus ID. +- **Vectara API Key:** API key. +- **Files Url:** Optional URLs for file initialization. --- ### Weaviate -The `Weaviate` is a component for implementing a Vector Store using Weaviate. +`Weaviate` facilitates a Weaviate Vector Store setup, optimizing text and document indexing and retrieval. -**Params** +**Parameters:** -- **Weaviate URL:** The URL of the Weaviate instance (default: http://localhost:8080). +- **Weaviate URL:** Default instance URL. +- **Search By Text:** Indicates whether to search by text. +- **API Key:** Optional API key for authentication. +- **Index Name:** Optional index name. +- **Text Key:** Default text extraction key. +- **Input:** Document or record. +- **Embedding:** Model used. +- **Attributes:** Optional additional attributes. -- **Search By Text:** Boolean indicating whether to search by text (default: False). - -- **API Key:** The API key for authentication (optional). - -- **Index name:** The name of the index in Weaviate (optional). - -- **Text Key:** The key used to extract text from documents (default: "text"). - -- **Input:** The input document or record. - -- **Embedding:** The embedding model used by Weaviate. - -- **Attributes:** Additional attributes to consider during indexing (optional). - -For detailed documentation and integration guides, please refer to the [Weaviate Component Documentation](https://python.langchain.com/docs/integrations/vectorstores/weaviate). +For more details, see the [Weaviate Component Documentation](https://python.langchain.com/docs/integrations/vectorstores/weaviate). -

- Before using the Weaviate Vector Store component, ensure that you have a - Weaviate instance running and accessible at the specified URL. Additionally, - make sure to provide the correct API key for authentication if required. - Adjust the index name, text key, and attributes according to your dataset - and indexing requirements. Finally, ensure that the provided embeddings are - compatible with Weaviate's requirements. -

+ Ensure Weaviate instance is running and accessible. Verify API key, index + name, text key, and attributes are set correctly.
--- ### Weaviate Search -The `WeaviateSearch` component facilitates searching a Weaviate Vector Store for similar documents. +`WeaviateSearch` searches a Weaviate Vector Store for documents similar to the input. -**Params** +**Parameters:** -- **Search Type:** The type of search to perform (e.g., Similarity, MMR). +- **Search Type:** Type of search, such as "Similarity" or "MMR". +- **Input Value:** Search query. +- **Weaviate URL:** Default instance URL. +- **Search By Text:** Indicates whether to search by text. +- **API Key:** Optional API key for authentication. +- **Index Name:** Optional index name. +- **Text Key:** Default text extraction key. +- **Embedding:** Model used. +- **Attributes:** Optional additional attributes. -- **Input Value:** The input value to search for. - -- **Weaviate URL:** The URL of the Weaviate instance (default: http://localhost:8080). - -- **Search By Text:** Boolean indicating whether to search by text (default: False). - -- **API Key:** The API key for authentication (optional). - -- **Index name:** The name of the index in Weaviate (optional). - -- **Text Key:** The key used to extract text from documents (default: "text"). - -- **Embedding:** The embedding model used by Weaviate. - -- **Attributes:** Additional attributes to consider during indexing (optional). +--- diff --git a/docs/docs/contributing/contribute-component.md b/docs/docs/contributing/contribute-component.md new file mode 100644 index 000000000..b178a5882 --- /dev/null +++ b/docs/docs/contributing/contribute-component.md @@ -0,0 +1,45 @@ +import ZoomableImage from "/src/theme/ZoomableImage.js"; + +# How to contribute components? + +As of Langflow 1.0 alpha, new components are added as objects of the [CustomComponent](https://github.com/langflow-ai/langflow/blob/dev/src/backend/base/langflow/interface/custom/custom_component/custom_component.py) class and any dependencies are added to the [pyproject.toml](https://github.com/langflow-ai/langflow/blob/dev/pyproject.toml#L27) file. + +## Add an example component + +You have a new document loader called **MyCustomDocumentLoader** and it would look awesome in Langflow. + +1. Write your loader as an object of the [CustomComponent](https://github.com/langflow-ai/langflow/blob/dev/src/backend/base/langflow/interface/custom/custom_component/custom_component.py) class. You'll create a new class, `MyCustomDocumentLoader`, that will inherit from `CustomComponent` and override the base class's methods. +2. Define optional attributes like `display_name`, `description`, and `documentation` to provide information about your custom component. +3. Implement the `build_config` method to define the configuration options for your custom component. +4. Implement the `build` method to define the logic for taking input parameters specified in the `build_config` method and returning the desired output. +5. Add the code to the [/components/documentloaders](https://github.com/langflow-ai/langflow/tree/dev/src/backend/base/langflow/components) folder. +6. Add the dependency to [/documentloaders/\_\_init\_\_.py](https://github.com/langflow-ai/langflow/blob/dev/src/backend/base/langflow/components/documentloaders/__init__.py) as `from .MyCustomDocumentLoader import MyCustomDocumentLoader`. +7. Add any new dependencies to the outer [pyproject.toml](https://github.com/langflow-ai/langflow/blob/dev/pyproject.toml#L27) file. +8. Submit documentation for your component. For this example, you'd submit documentation to the [loaders page](https://github.com/langflow-ai/langflow/blob/dev/docs/docs/components/loaders.mdx). +9. Submit your changes as a pull request. The Langflow team will have a look, suggest changes, and add your component to Langflow. + +## User Sharing + +You might want to share and test your custom component with others, but don't need it merged into the main source code. + +If so, you can share your component on the Langflow store. + +1. [Register at the Langflow store](https://www.langflow.store/login/). +2. Undergo pre-validation before receiving an API key. +3. To deploy your amazing component directly to the Langflow store, without it being merged into the main source code, navigate to your flow, and then click **Share**. + The share window appears: + + + +5. Choose whether you want to flow to be public or private. + You can also **Export** your flow as a JSON file from this window. + When you're ready to share the flow, click **Share Flow**. + You should see a **Flow shared successfully** popup. +6. To confirm, navigate to the **Langflow Store** and filter results by **Created By Me**. You should see your new flow on the **Langflow Store**. diff --git a/docs/docs/examples/flow-runner.mdx b/docs/docs/examples/flow-runner.mdx index 8a07adb0a..fda7a8d39 100644 --- a/docs/docs/examples/flow-runner.mdx +++ b/docs/docs/examples/flow-runner.mdx @@ -159,7 +159,7 @@ Now, let's add the [parameters](focus://11[20:55]) and the [return type](focus:/ - _`flow_name`_ is the name of the flow we want to run. - _`document`_ is the input document to be passed to that flow. - - Since _`Document`_ is a Langchain type, it will add an input [handle](../guidelines/components) to the component ([see more](../components/custom)). + - Since _`Document`_ is a Langchain type, it will add an input [handle](../administration/components) to the component ([see more](../components/custom)). --- @@ -242,7 +242,7 @@ class FlowRunner(CustomComponent): ``` -You can load this flow using _`get_flow`_ and set a _`tweaks`_ dictionary to customize it. Find more about tweaks in our [features guidelines](../guidelines/features#code). +You can load this flow using _`get_flow`_ and set a _`tweaks`_ dictionary to customize it. Find more about tweaks in our [features guidelines](../administration/features#code). --- diff --git a/docs/docs/getting-started/blog-writer.mdx b/docs/docs/getting-started/blog-writer.mdx deleted file mode 100644 index e69de29bb..000000000 diff --git a/docs/docs/getting-started/document-qa.mdx b/docs/docs/getting-started/document-qa.mdx deleted file mode 100644 index e69de29bb..000000000 diff --git a/docs/docs/getting-started/huggingface-spaces.mdx b/docs/docs/getting-started/huggingface-spaces.mdx new file mode 100644 index 000000000..d2eccc782 --- /dev/null +++ b/docs/docs/getting-started/huggingface-spaces.mdx @@ -0,0 +1,38 @@ +import ThemedImage from "@theme/ThemedImage"; +import useBaseUrl from "@docusaurus/useBaseUrl"; +import ZoomableImage from "/src/theme/ZoomableImage.js"; +import Admonition from "@theme/Admonition"; + +# 🤗 HuggingFace Spaces + +HuggingFace provides a great alternative for running Langflow in their Spaces environment. This means you can run Langflow without any local installation required. + +In a Chromium-based browser, go to the [Langflow Space](https://huggingface.co/spaces/Langflow/Langflow?duplicate=true) or [Langflow v1.0 alpha Preview Space](https://huggingface.co/spaces/Langflow/Langflow-Preview?duplicate=true). + +You'll be presented with the following screen: + + + +Name your Space, define the visibility (Public or Private), and click on **Duplicate Space** to start the installation process. When installation is finished, you'll be redirected to the Space's main page to start using Langflow right away! + +## Run a starter project + +Langflow provides a range of example flows to help you get started. + +Once you get Langflow running in your Space, click on **New Project** in the top right corner of the screen. + +Select a starter project from the list, set up your API keys, and click ⚡ Run. This will open up Langflow's Interaction Panel with the chat console, text inputs, and outputs ready to go. + +For more information on the starter projects, see the guides below: + +* [Basic prompting](/starter-projects/basic-prompting.mdx) +* [Memory chatbot](/starter-projects/memory-chatbot.mdx) +* [Blog writer](/starter-projects/blog-writer.mdx) +* [Document QA](/starter-projects/document-qa.mdx) \ No newline at end of file diff --git a/docs/docs/getting-started/install-langflow.mdx b/docs/docs/getting-started/install-langflow.mdx new file mode 100644 index 000000000..7a567d597 --- /dev/null +++ b/docs/docs/getting-started/install-langflow.mdx @@ -0,0 +1,69 @@ +import ThemedImage from "@theme/ThemedImage"; +import useBaseUrl from "@docusaurus/useBaseUrl"; +import ZoomableImage from "/src/theme/ZoomableImage.js"; +import Admonition from "@theme/Admonition"; + +# 📦 Install Langflow + + + + Langflow v1.0 alpha is also available in [HuggingFace Spaces](https://huggingface.co/spaces/Langflow/Langflow-Preview?duplicate=true). Try it out or follow the instructions [here](./huggingface-spaces) to install it locally. + + + +Langflow requires [Python 3.10](https://www.python.org/downloads/release/python-3100/) and [pip](https://pypi.org/project/pip/) or [pipx](https://pipx.pypa.io/stable/installation/) to be installed on your system. + +Install Langflow with pip: +```bash +python -m pip install langflow -U +``` + +Install Langflow with pipx: +```bash +pipx install langflow --python python3.10 --fetch-missing-python +``` +Pipx can fetch the missing Python version for you with `--fetch-missing-python`, but you can also install the Python version manually. + + +## Install Langflow pre-release + +To install a pre-release version of Langflow: + +pip: +```bash +python -m pip install langflow --pre --force-reinstall +``` + +pipx: +```bash +pipx install langflow --python python3.10 --fetch-missing-python --pip-args="--pre --force-reinstall" +``` + +Use `--force-reinstall` to ensure you have the latest version of Langflow and its dependencies. + +## Having a problem? + +If you encounter a problem, see [Common Installation Issues](/migration/possible-installation-issues). + +To get help in the Langflow CLI: + +```bash +python -m langflow --help +``` + +## ⛓️ Run Langflow + +1. To run Langflow, enter the following command. +```bash +python -m langflow run +``` + +2. Confirm that a local Langflow instance starts by visiting `http://127.0.0.1:7860` in a Chromium-based browser. +```bash +│ Welcome to ⛓ Langflow │ +│ │ +│ Access http://127.0.0.1:7860 │ +│ Collaborate, and contribute at our GitHub Repo 🚀 │ +``` + +3. Continue on to the [Quickstart](./quickstart.mdx). \ No newline at end of file diff --git a/docs/docs/getting-started/memory-chatbot.mdx b/docs/docs/getting-started/memory-chatbot.mdx deleted file mode 100644 index e69de29bb..000000000 diff --git a/docs/docs/getting-started/new-to-llms.mdx b/docs/docs/getting-started/new-to-llms.mdx new file mode 100644 index 000000000..3a38a37f4 --- /dev/null +++ b/docs/docs/getting-started/new-to-llms.mdx @@ -0,0 +1,10 @@ +# 📚 New to LLMs? + +Large Language Models, or LLMs, are part of an exciting new world in computing. + +We made Langflow for anyone to create with LLMs, and hope you'll feel comfortable installing Langflow and [getting started](./quickstart.mdx). + +If you want to learn more about LLMs, prompt engineering, and AI models, Langflow recommends [promptingguide.ai](https://promptingguide.ai), an open-source repository of prompt engineering content maintained by AI experts. +PromptingGuide offers content for [beginners](https://www.promptingguide.ai/introduction/basics) and [experts](https://www.promptingguide.ai/techniques/cot), as well as the latest [research papers](https://www.promptingguide.ai/papers) and [test results](https://www.promptingguide.ai/research) fueling AI's progress. + +Wherever you are on your AI journey, it's helpful to keep Prompting Guide open in a tab. \ No newline at end of file diff --git a/docs/docs/getting-started/quickstart.mdx b/docs/docs/getting-started/quickstart.mdx new file mode 100644 index 000000000..f54a07747 --- /dev/null +++ b/docs/docs/getting-started/quickstart.mdx @@ -0,0 +1,79 @@ +import ThemedImage from "@theme/ThemedImage"; +import useBaseUrl from "@docusaurus/useBaseUrl"; +import ZoomableImage from "/src/theme/ZoomableImage.js"; +import ReactPlayer from "react-player"; +import Admonition from "@theme/Admonition"; + +# ⚡️ Quickstart + +This guide demonstrates how to build a basic prompt flow and modify that prompt for different outcomes. + +## Prerequisites + +* [Langflow installed](./install-langflow.mdx) + +* [OpenAI API key](https://platform.openai.com) + + + Langflow v1.0 alpha is also available in [HuggingFace Spaces](https://huggingface.co/spaces/Langflow/Langflow-Preview?duplicate=true). Try it out or follow the instructions [here](./huggingface-spaces) to install it locally. + + +## Hello World - Basic Prompting + +Let's start with a Prompt component to instruct an OpenAI Model. + +Prompts serve as the inputs to a large language model (LLM), acting as the interface between human instructions and computational tasks. + +By submitting natural language requests in a prompt to an LLM, you can obtain answers, generate text, and solve problems. + +1. From the Langflow dashboard, click **New Project**. +2. Select **Basic Prompting**. +3. The **Basic Prompting** flow is created. + + + +This flow allows you to chat with the **OpenAI** component via a **Prompt**. +Examine the **Prompt** component. The **Template** field instructs the LLM to `Answer the user as if you were a pirate.` +This should be interesting... + +4. To create an environment variable for the **OpenAI** component, in the **OpenAI API Key** field, click the **Globe** button, and then click **Add New Variable**. + 1. In the **Variable Name** field, enter `openai_api_key`. + 2. In the **Value** field, paste your OpenAI API Key (`sk-...`). + 3. Click **Save Variable**. + +## Run the basic prompting flow + +1. Click the **Run** button. +The **Interaction Panel** opens, where you can chat with your bot. +2. Type a message and press Enter. +And... Ahoy! 🏴‍☠️ +The bot responds in a piratical manner! + +## Modify the prompt for a different result + +1. To modify your prompt results, in the **Prompt** template, click the **Template** field. +The **Edit Prompt** window opens. +2. Change `Answer the user as if you were a pirate` to a different character, perhaps `Answer the user as if you were Harold Abelson.` +3. Run the basic prompting flow again. +The response will be markedly different. + +## Next steps + +Well done! You've built your first prompt in Langflow. 🎉 + +By adding Langflow components to your flow, you can create all sorts of interesting behaviors. + +Here are a couple of examples: + +* [Memory chatbot](/starter-projects/memory-chatbot.mdx) +* [Blog writer](/starter-projects/blog-writer.mdx) +* [Document QA](/starter-projects/document-qa.mdx) + + diff --git a/docs/docs/getting-started/rag-with-astradb.mdx b/docs/docs/getting-started/rag-with-astradb.mdx index 01daa7b6f..8cb2593c9 100644 --- a/docs/docs/getting-started/rag-with-astradb.mdx +++ b/docs/docs/getting-started/rag-with-astradb.mdx @@ -130,18 +130,18 @@ And run it! This will ingest the Text data from your file into the Astra DB data style={{ width: "80%", margin: "20px auto" }} /> -Now, on to the **RAG Flow**. This flow is responsible for generating responses to your queries. It will define all of the steps from getting the User's input to generating a response and displaying it in the Interaction Panel. +Now, on to the **RAG Flow**. This flow is responsible for generating responses to your queries. It will define all of the steps from getting the User's input to generating a response and displaying it in the Playground. The RAG flow is a bit more complex. It consists of: -- **Chat Input** component that defines where to put the user input coming from the Interaction Panel +- **Chat Input** component that defines where to put the user input coming from the Playground - **OpenAI Embeddings** component that generates embeddings from the user input - **Astra DB Search** component that retrieves the most relevant Records from the Astra DB database -- **Text Output** component that turns the Records into Text by concatenating them and also displays it in the Interaction Panel - - One interesting point you'll see here is that this component is named `Extracted Chunks`, and that is how it will appear in the Interaction Panel +- **Text Output** component that turns the Records into Text by concatenating them and also displays it in the Playground + - One interesting point you'll see here is that this component is named `Extracted Chunks`, and that is how it will appear in the Playground - **Prompt** component that takes in the user input and the retrieved Records as text and builds a prompt for the OpenAI model - **OpenAI** component that generates a response to the prompt -- **Chat Output** component that displays the response in the Interaction Panel +- **Chat Output** component that displays the response in the Playground -This opens the Interaction Panel where you can chat your data. +This opens the Playground where you can chat your data. Because this flow has a **Chat Input** and a **Text Output** component, the Panel displays a chat input at the bottom and the Extracted Chunks section on the left. diff --git a/docs/docs/guides/basic-prompting.mdx b/docs/docs/guides/basic-prompting.mdx deleted file mode 100644 index e69de29bb..000000000 diff --git a/docs/docs/guides/blog-writer.mdx b/docs/docs/guides/blog-writer.mdx deleted file mode 100644 index e69de29bb..000000000 diff --git a/docs/docs/guides/document-qa.mdx b/docs/docs/guides/document-qa.mdx deleted file mode 100644 index e69de29bb..000000000 diff --git a/docs/docs/guides/memory-chatbot.mdx b/docs/docs/guides/memory-chatbot.mdx deleted file mode 100644 index e69de29bb..000000000 diff --git a/docs/docs/index.mdx b/docs/docs/index.mdx index 7ee26d0e0..e807ee086 100644 --- a/docs/docs/index.mdx +++ b/docs/docs/index.mdx @@ -5,7 +5,9 @@ import Admonition from "@theme/Admonition"; # 👋 Welcome to Langflow -Langflow is an easy way to build from simple to complex AI applications. It is a low-code platform that allows you to integrate AI into everything you do. +Langflow is a new, visual way to build, iterate, and deploy AI applications. + +Its intuitive interface allows for easy manipulation of AI building blocks, enabling developers to quickly prototype and turn their ideas into powerful, real-world solutions. {" "} @@ -20,96 +22,17 @@ Langflow is an easy way to build from simple to complex AI applications. It is a ## 🚀 First steps -## Installation +- [Install Langflow](/getting-started/install-langflow) - Install and start a local Langflow server. -Make sure you have **Python 3.10** installed on your system. +- [Quickstart](/getting-started/quickstart) - Create a flow and run it. -You can install **Langflow** with [pipx](https://pipx.pypa.io/stable/installation/) or with pip. +- [HuggingFace Spaces](/getting-started/huggingface-spaces) - Duplicate the Langflow preview space and try it out before you install. -Pipx can fetch the missing Python version for you, but you can also install it manually. +- [New to LLMs?](/getting-started/new-to-llms) - Learn more about LLMs, prompting, and more at [promptingguide.ai](https://promptingguide.ai). -```bash -# Remember to check if you have Python 3.10 installed -python -m pip install langflow -U -# or -pipx install langflow --python python3.10 --fetch-missing-python -``` +## Learn more about Langflow 1.0 -Or you can install a pre-release version using: +Learn more about the exciting changes in Langflow 1.0, and how to migrate your existing Langflow projects. -```bash -python -m pip install langflow --pre --force-reinstall -# or -pipx install langflow --python python3.10 --fetch-missing-python --pip-args="--pre --force-reinstall" -``` - - -

- Please, check out our [Possible Installation Issues - section](/migration/possible-installation-issues) if you encounter any - problems. -

-
- -We recommend using --force-reinstall to ensure you have the latest version of Langflow and its dependencies. - -### ⛓️ Running Langflow - -Langflow can be run in a variety of ways, including using the command-line interface (CLI) or HuggingFace Spaces. - -```bash -python -m langflow run # or langflow --help -``` - -#### 🤗 HuggingFace Spaces - -Hugging Face provides a great alternative for running Langflow in their Spaces environment. This means you can run Langflow without any local installation required. - -The first step is to go to the [Langflow Space](https://huggingface.co/spaces/Langflow/Langflow?duplicate=true) or [Langflow 1.0 Preview Space](https://huggingface.co/spaces/Langflow/Langflow-Preview?duplicate=true) - -Remember to use a Chromium-based browser for the best experience. You'll be presented with the following screen: - - - -From here, just name your Space, define the visibility (Public or Private), and click on `Duplicate Space` to start the installation process. When that is done, you'll be redirected to the Space's main page to start using Langflow right away! - -Once you get Langflow running, click on New Project in the top right corner of the screen. Langflow provides a range of example flows to help you get started. - -To quickly try one of them, open a starter example, set up your API keys and click ⚡ Run, on the bottom right corner of the canvas. This will open up Langflow's Interaction Panel with the chat console, text inputs, and outputs. - -### 🖥️ Command Line Interface (CLI) - -Langflow provides a command-line interface (CLI) for easy management and configuration. - -#### Usage - -You can run the Langflow using the following command: - -```bash -langflow run [OPTIONS] -``` - -Find more information about the available options by running: - -```bash -python -m langflow --help -``` - -## Find out more about 1.0 - - -

- We are currently working on updating the documentation for Langflow 1.0. -

-
- -To get you learning more about what's new and why you should be excited about Langflow 1.0, -go to [A new chapter for Langflow](/whats-new/a-new-chapter-langflow) and also come back often -to check out our [migration guides](/whats-new/migrating-to-one-point-zero) as we release them. +- [A new chapter for Langflow](/whats-new/a-new-chapter-langflow) +- [Migration guides](/migration/migrating-to-one-point-zero) diff --git a/docs/docs/migration/global-variables.mdx b/docs/docs/migration/global-variables.mdx index 17ec50ab5..3430ef405 100644 --- a/docs/docs/migration/global-variables.mdx +++ b/docs/docs/migration/global-variables.mdx @@ -99,8 +99,10 @@ The default list at the moment is: - AZURE_OPENAI_API_VERSION - COHERE_API_KEY - GOOGLE_API_KEY +- GROQ_API_KEY - HUGGINGFACEHUB_API_TOKEN - OPENAI_API_KEY +- PINECONE_API_KEY - SEARCHAPI_API_KEY - SERPAPI_API_KEY - VECTARA_CUSTOMER_ID diff --git a/docs/docs/migration/inputs-and-outputs.mdx b/docs/docs/migration/inputs-and-outputs.mdx index 5db3f3af2..1e1745347 100644 --- a/docs/docs/migration/inputs-and-outputs.mdx +++ b/docs/docs/migration/inputs-and-outputs.mdx @@ -1,7 +1,7 @@ # Inputs and Outputs TL;DR: Inputs and Outputs are a category of components that are used to define where data comes in and out of your flow. They also -dynamically change the Interaction Panel and can be renamed to make it easier to build and maintain your flows. +dynamically change the Playground and can be renamed to make it easier to build and maintain your flows. ## Introduction @@ -10,8 +10,8 @@ Langflow 1.0 introduces new categories of components called Inputs and Outputs. Let's start with what they have in common: - Components in these categories connect to components that have Text or Record inputs or outputs. Some can connect to both but you have to pick what type of data you want to output or input. -- They can be renamed to help you identify them more easily in the Interaction Panel and while using the API. -- They dynamically change the Interaction Panel to make it easier to understand and interact with your flows. +- They can be renamed to help you identify them more easily in the Playground and while using the API. +- They dynamically change the Playground to make it easier to understand and interact with your flows. Native Langflow Components were created to be powerful tools that work around Langflow's features. They are designed to be easy to use and understand, and to help you build your flows faster. @@ -21,7 +21,7 @@ Let's dive into Inputs and Outputs. Inputs are components that are used to define where data comes into your flow. They can be used to receive data from the user, from a database, or from any other source that can be converted to Text or Record. -The difference between Chat Input and other Input components is the format of the output, the number of configurable fields, and the way they are displayed in the Interaction Panel. +The difference between Chat Input and other Input components is the format of the output, the number of configurable fields, and the way they are displayed in the Playground. Chat Input components can output Text or Record. When you want to pass the sender name, or sender to the next component, you can use the Record output, and when you want to pass the message only you can use the Text output. This is useful when saving the message to a database or a memory system like Zep. @@ -29,7 +29,7 @@ You can find out more about it and the other Inputs [here](../components/inputs) ## Outputs -Outputs are components that are used to define where data comes out of your flow. They can be used to send data to the user, to the Interaction Panel, or to define how the data will be displayed in the Interaction Panel. +Outputs are components that are used to define where data comes out of your flow. They can be used to send data to the user, to the Playground, or to define how the data will be displayed in the Playground. The Chat Output works similarly to the Chat Input but does not have a field that allows for written input. It is used as an Output definition and can be used to send data to the user. diff --git a/docs/docs/whats-new/migrating-to-one-point-zero.mdx b/docs/docs/migration/migrating-to-one-point-zero.mdx similarity index 99% rename from docs/docs/whats-new/migrating-to-one-point-zero.mdx rename to docs/docs/migration/migrating-to-one-point-zero.mdx index c140bdf94..827f0e118 100644 --- a/docs/docs/whats-new/migrating-to-one-point-zero.mdx +++ b/docs/docs/migration/migrating-to-one-point-zero.mdx @@ -55,7 +55,7 @@ Langflow 1.0 continues to support LangChain while also introducing support for m **Guide coming soon** -## Sidebar Redesign and Customizable Interaction Panel +## Sidebar Redesign and Customizable Playground We've expanded on the chat experience by creating a customizable interaction panel that allows you to design a panel that fits your needs and interact with it. The sidebar has also been redesigned to provide a more intuitive and user-friendly experience. Explore the new sidebar and interaction panel features to enhance your workflow. diff --git a/docs/docs/migration/possible-installation-issues.mdx b/docs/docs/migration/possible-installation-issues.mdx index 522ca76ce..00b6f2cd2 100644 --- a/docs/docs/migration/possible-installation-issues.mdx +++ b/docs/docs/migration/possible-installation-issues.mdx @@ -1,15 +1,18 @@ -# Possible Installation Issues +# Common Installation Issues -This is a list of possible issues that you may encounter when installing Langflow 1.0 Alpha and how to solve them. +This is a list of possible issues that you may encounter when installing Langflow 1.0 alpha and how to solve them. ## _`No module named 'langflow.__main__'`_ -TLDR; +### TL;DR -- Run _`python -m langflow run`_ instead of _`langflow run`_. If that doesn't work, run _`_python -m pip install langflow --pre -U`_ to reinstall langflow. -- If the above doesn't work, run _`python -m pip install langflow --pre -U --force-reinstall`_ to reinstall langflow and its dependencies. +1. Run _`python -m langflow run`_ instead of _`langflow run`_. +2. If that doesn't work, reinstall Langflow with _`_python -m pip install langflow --pre -U`_. +3. If that doesn't work, reinstall Langflow and its dependencies with _`python -m pip install langflow --pre -U --force-reinstall`_. -When you try to run langflow using the command `langflow run`, you may encounter the following error: +### Details + +When you try to run Langflow using the command `langflow run`, you may encounter the following error: ```bash > langflow run @@ -19,9 +22,27 @@ Traceback (most recent call last): ModuleNotFoundError: No module named 'langflow.__main__' ``` -For this error to occur, two scenarios are possible: +There are two possible reasons for this error: + +1. You've installed Langflow using _`pip install langflow`_ but you already had a previous version of Langflow installed in your system. + In this case, you might be running the wrong executable. + To solve this issue, run the correct executable by running _`python -m langflow run`_ instead of _`langflow run`_. + If that doesn't work, try uninstalling and reinstalling Langflow with _`python -m pip install langflow --pre -U`_. +2. Some version conflicts might have occurred during the installation process. + Run _`python -m pip install langflow --pre -U --force-reinstall`_ to reinstall Langflow and its dependencies. + +## _`Something went wrong running migrations. Please, run 'langflow migration --fix'`_ + +### TL;DR + +- Clear the cache by deleting the contents of the cache folder. + This folder can be found at: + - **Linux or WSL2 on Windows**: `home//.cache/langflow/` + - **MacOS**: `/Users//Library/Caches/langflow/` + +### Details + +This error can occur during Langflow upgrades when the new version can't override `langflow-pre.db` in `.cache/langflow/`. Clearing the cache removes this file but will also erase your settings. + +If you wish to retain your files, back them up before clearing the folder. -1. You've installed langflow using _`pip install langflow`_ but you already had a previous version of langflow installed in your system. - In this case, you might not be running the correct executable. - To solve this issue, you can run the correct executable by running _`python -m langflow run`_ instead of _`langflow run`_ and if that doesn't work, you can try uninstalling langflow and reinstalling it using _`python -m pip install langflow --pre -U`_. -2. Some version conflicts might have occurred during the installation process. Run _`python -m pip install langflow --pre -U --force-reinstall`_ to reinstall langflow and its dependencies. diff --git a/docs/docs/starter-projects/basic-prompting.mdx b/docs/docs/starter-projects/basic-prompting.mdx new file mode 100644 index 000000000..ef333643f --- /dev/null +++ b/docs/docs/starter-projects/basic-prompting.mdx @@ -0,0 +1,88 @@ +import ThemedImage from "@theme/ThemedImage"; +import useBaseUrl from "@docusaurus/useBaseUrl"; +import ZoomableImage from "/src/theme/ZoomableImage.js"; +import ReactPlayer from "react-player"; +import Admonition from "@theme/Admonition"; + +# Basic prompting + +Prompts serve as the inputs to a large language model (LLM), acting as the interface between human instructions and computational tasks. + +By submitting natural language requests in a prompt to an LLM, you can obtain answers, generate text, and solve problems. + +This article demonstrates how to use Langflow's prompt tools to issue basic prompts to an LLM, and how various prompting strategies can affect your outcomes. + +## Prerequisites + +1. Install Langflow. +```bash +python -m pip install langflow --pre +``` + +2. Start a local Langflow instance with the Langflow CLI: +```bash +langflow run +``` +Or start Langflow with Python: +```bash +python -m langflow run +``` + +Result: +``` +│ Welcome to ⛓ Langflow │ +│ │ +│ Access http://127.0.0.1:7860 │ +│ Collaborate, and contribute at our GitHub Repo 🚀 │ +``` + + + + Langflow v1.0 alpha is also available in [HuggingFace Spaces](https://huggingface.co/spaces/Langflow/Langflow-Preview?duplicate=true). Try it out or follow the instructions [here](/getting-started/huggingface-spaces) to install it locally. + + + +3. Create an [OpenAI API key](https://platform.openai.com). + +## Create the basic prompting project + +1. From the Langflow dashboard, click **New Project**. +2. Select **Basic Prompting**. +3. The **Basic Prompting** flow is created. + + + +This flow allows you to chat with the **OpenAI** component via a **Prompt** component. +Examine the **Prompt** component. The **Template** field instructs the LLM to `Answer the user as if you were a pirate.` +This should be interesting... + +4. To create an environment variable for the **OpenAI** component, in the **OpenAI API Key** field, click the **Globe** button, and then click **Add New Variable**. + 1. In the **Variable Name** field, enter `openai_api_key`. + 2. In the **Value** field, paste your OpenAI API Key (`sk-...`). + 3. Click **Save Variable**. + +## Run the basic prompting flow + +1. Click the **Run** button. +The **Interaction Panel** opens, where you can converse with your bot. +2. Type a message and press Enter. +The bot responds in a markedly piratical manner! + +## Modify the prompt for a different result + +1. To modify your prompt results, in the **Prompt** template, click the **Template** field. +The **Edit Prompt** window opens. +2. Change `Answer the user as if you were a pirate` to a different character, perhaps `Answer the user as if you were Harold Abelson.` +3. Run the basic prompting flow again. +The response will be markedly different. + + + + diff --git a/docs/docs/starter-projects/blog-writer.mdx b/docs/docs/starter-projects/blog-writer.mdx new file mode 100644 index 000000000..411233c8b --- /dev/null +++ b/docs/docs/starter-projects/blog-writer.mdx @@ -0,0 +1,96 @@ +import ThemedImage from "@theme/ThemedImage"; +import useBaseUrl from "@docusaurus/useBaseUrl"; +import ZoomableImage from "/src/theme/ZoomableImage.js"; +import ReactPlayer from "react-player"; +import Admonition from "@theme/Admonition"; + +# Blog writer + +Build a blog writer with OpenAI that uses URLs for reference content. + +## Prerequisites + +1. Install Langflow. +```bash +python -m pip install langflow --pre +``` + +2. Start a local Langflow instance with the Langflow CLI: +```bash +langflow run +``` +Or start Langflow with Python: +```bash +python -m langflow run +``` + +Result: +```bash +│ Welcome to ⛓ Langflow │ +│ │ +│ Access http://127.0.0.1:7860 │ +│ Collaborate, and contribute at our GitHub Repo 🚀 │ +``` + + + + Langflow v1.0 alpha is also available in [HuggingFace Spaces](https://huggingface.co/spaces/Langflow/Langflow-Preview?duplicate=true). Try it out or follow the instructions [here](/getting-started/huggingface-spaces) to install it locally. + + + +3. Create an [OpenAI API key](https://platform.openai.com). + +## Create the Blog Writer project + +1. From the Langflow dashboard, click **New Project**. +2. Select **Blog Writer**. +3. The **Blog Writer** flow is created. + + + +This flow creates a one-shot prompt flow with **Prompt**, **OpenAI**, and **Chat Output** components, and augments the flow with reference content and instructions from the **URL** and **Instructions** components. + +The **Prompt** component's default **Template** field looks like this: +```bash +Reference 1: + +{reference_1} + +--- + +Reference 2: + +{reference_2} + +--- + +{instructions} + +Blog: + +``` + +The `{instructions}` value is received from the **Value** field of the **Instructions** component. +The `reference_1` and `reference_2` values are received from the **URL** fields of the **URL** components. + +4. To create an environment variable for the **OpenAI** component, in the **OpenAI API Key** field, click the **Globe** button, and then click **Add New Variable**. + 1. In the **Variable Name** field, enter `openai_api_key`. + 2. In the **Value** field, paste your OpenAI API Key (`sk-...`). + 3. Click **Save Variable**. + +## Run the Blog Writer flow + +1. Click the **Run** button. +The **Interaction Panel** opens, where you can run your one-shot flow. +2. Click the **Lighting Bolt** icon to run your flow. +3. The **OpenAI** component constructs a blog post with the **URL** items as context. +The default **URL** values are for web pages at `promptingguide.ai`, so your blog post will be about prompting LLMs. + +To write about something different, change the values in the **URL** components, and see what the LLM constructs. \ No newline at end of file diff --git a/docs/docs/starter-projects/document-qa.mdx b/docs/docs/starter-projects/document-qa.mdx new file mode 100644 index 000000000..1807bb948 --- /dev/null +++ b/docs/docs/starter-projects/document-qa.mdx @@ -0,0 +1,86 @@ +import ThemedImage from "@theme/ThemedImage"; +import useBaseUrl from "@docusaurus/useBaseUrl"; +import ZoomableImage from "/src/theme/ZoomableImage.js"; +import ReactPlayer from "react-player"; +import Admonition from "@theme/Admonition"; + +# Document QA + +Build a question-and-answer chatbot with a document loaded from local memory. + +## Prerequisites + +1. Install Langflow. +```bash +python -m pip install langflow --pre +``` + +2. Start a local Langflow instance with the Langflow CLI: +```bash +langflow run +``` +Or start Langflow with Python: +```bash +python -m langflow run +``` + +Result: +``` +│ Welcome to ⛓ Langflow │ +│ │ +│ Access http://127.0.0.1:7860 │ +│ Collaborate, and contribute at our GitHub Repo 🚀 │ +``` + + + + Langflow v1.0 alpha is also available in [HuggingFace Spaces](https://huggingface.co/spaces/Langflow/Langflow-Preview?duplicate=true). Try it out or follow the instructions [here](/getting-started/huggingface-spaces) to install it locally. + + + +3. Create an [OpenAI API key](https://platform.openai.com). + +## Create the Document QA project + +1. From the Langflow dashboard, click **New Project**. +2. Select **Document QA**. +3. The **Document QA** flow is created. + + + +This flow creates a basic chatbot with the **Chat Input**, **Prompt**, **OpenAI**, and **Chat Output** components. +This chatbot is augmented with the **Files** component, which loads a file from your local machine into the **Prompt** component as `{Document}`. +The **Prompt** component is instructed to answer questions based on the contents of `{Document}`. +Including a file with the prompt gives the **OpenAI** component context it may not otherwise have access to. + +4. To create an environment variable for the **OpenAI** component, in the **OpenAI API Key** field, click the **Globe** button, and then click **Add New Variable**. + 1. In the **Variable Name** field, enter `openai_api_key`. + 2. In the **Value** field, paste your OpenAI API Key (`sk-...`). + 3. Click **Save Variable**. + +5. To select a document to load, in the **Files** component, click within the **Path** field. + 1. Select a local file, and then click **Open**. + 2. The file name appears in the field. + + The file must be of an extension type listed [here](https://github.com/langflow-ai/langflow/blob/dev/src/backend/base/langflow/base/data/utils.py#L13). + + +## Run the Document QA flow + +1. Click the **Run** button. +The **Interaction Panel** opens, where you can converse with your bot. +2. Type a message and press Enter. +For this example, we loaded an error log `.txt` file and asked, "What went wrong?" +The bot responded: +``` +The issue occurred during the execution of migrations in the application. Specifically, an error was raised by the Alembic library, indicating that new upgrade operations were detected that had not been accounted for in the existing migration scripts. The operation in question involved modifying the nullable property of a column (apikey, created_at) in the database, with details about the existing type (DATETIME()), existing server default, and other properties. +``` + +This result indicates that the bot received the loaded document and understood the context surrounding the vague question. It also correctly identified the issue in the error log, and followed up with appropriate troubleshooting suggestions. Nice! diff --git a/docs/docs/starter-projects/memory-chatbot.mdx b/docs/docs/starter-projects/memory-chatbot.mdx new file mode 100644 index 000000000..e9560d9e5 --- /dev/null +++ b/docs/docs/starter-projects/memory-chatbot.mdx @@ -0,0 +1,104 @@ +import ThemedImage from "@theme/ThemedImage"; +import useBaseUrl from "@docusaurus/useBaseUrl"; +import ZoomableImage from "/src/theme/ZoomableImage.js"; +import ReactPlayer from "react-player"; +import Admonition from "@theme/Admonition"; + +# Memory chatbot + +This flow extends the [basic prompting flow](./basic-prompting.mdx) to include chat memory for unique SessionIDs. + +## Prerequisites + +1. Install Langflow. +```bash +python -m pip install langflow --pre +``` + +2. Start a local Langflow instance with the Langflow CLI: +```bash +langflow run +``` +Or start Langflow with Python: +```bash +python -m langflow run +``` + +Result: +``` +│ Welcome to ⛓ Langflow │ +│ │ +│ Access http://127.0.0.1:7860 │ +│ Collaborate, and contribute at our GitHub Repo 🚀 │ +``` + + + + Langflow v1.0 alpha is also available in [HuggingFace Spaces](https://huggingface.co/spaces/Langflow/Langflow-Preview?duplicate=true). Try it out or follow the instructions [here](/getting-started/huggingface-spaces) to install it locally. + + + +3. Create an [OpenAI API key](https://platform.openai.com). + +## Create the memory chatbot project + +1. From the Langflow dashboard, click **New Project**. +2. Select **Memory Chatbot**. +3. The **Memory Chatbot** flow is created. + + + +This flow creates a basic chatbot with the **Chat Input**, **Prompt**, and **OpenAI** components. +This chatbot is augmented with the **Chat Memory** component, which stores messages submitted via **Chat Input** and prepends them to subsequent prompts to OpenAI via `{context}`. +The **Chat History** component gives the **OpenAI** component a memory of previous questions. + +4. To create an environment variable for the **OpenAI** component, in the **OpenAI API Key** field, click the **Globe** button, and then click **Add New Variable**. + 1. In the **Variable Name** field, enter `openai_api_key`. + 2. In the **Value** field, paste your OpenAI API Key (`sk-...`). + 3. Click **Save Variable**. + +## Run the memory chatbot flow + +1. Click the **Run** button. +The **Interaction Panel** opens, where you can converse with your bot. +2. Type a message and press Enter. +The bot will respond according to the template in the **Prompt** component. +3. Type more questions. In the **Outputs** log, your queries are logged in order. Up to 5 queries are stored by default. Try asking `What is the first subject I asked you about?` to see where the LLM's memory disappears. + +## Modify the Session ID field to have multiple conversations + +`SessionID` is a unique identifier in Langchain for a conversation session between a chatbot and a client. +A `SessionID` is created when a conversation is initiated, and then associated with all subsequent messages during that session. + +In the **Memory Chatbot** flow you created, the **Chat Memory** component references past interactions with **Chat Input** by **Session ID**. +You can demonstrate this by modifying the **Session ID** value to switch between conversation histories. + +1. In the **Session ID** field of the **Chat Memory** and **Chat Input** components, change the **Session ID** value from `MySessionID` to `AnotherSessionID`. +2. Click the **Run** button to run your flow. +In the **Interaction Panel**, you will have a new conversation. (You may need to clear the cache with the **Eraser** button). +3. Type a few questions to your bot. +4. In the **Session ID** field of the **Chat Memory** and **Chat Input** components, change the **Session ID** value back to `MySessionID`. +5. Run your flow. +The **Outputs** log of the **Interaction Panel** displays the history from your initial chat with `MySessionID`. + +## Store Session ID as a Langflow variable + +To store **Session ID** as a Langflow variable, in the **Session ID** field, click the **Globe** button, and then click **Add New Variable**. + +1. In the **Variable Name** field, enter a name like `customer_chat_emea`. +2. In the **Value** field, enter a value like `1B5EBD79-6E9C-4533-B2C8-7E4FF29E983B`. +3. Click **Save Variable**. +4. Apply this variable to **Chat Input**. + diff --git a/docs/docs/starter-projects/vector-store-rag.mdx b/docs/docs/starter-projects/vector-store-rag.mdx new file mode 100644 index 000000000..fda7e432b --- /dev/null +++ b/docs/docs/starter-projects/vector-store-rag.mdx @@ -0,0 +1,108 @@ +import ThemedImage from "@theme/ThemedImage"; +import useBaseUrl from "@docusaurus/useBaseUrl"; +import ZoomableImage from "/src/theme/ZoomableImage.js"; +import ReactPlayer from "react-player"; +import Admonition from "@theme/Admonition"; + +# Vector store RAG + +Retrieval Augmented Generation, or RAG, is a pattern for training LLMs on your data and querying it. + +RAG is backed by a **vector store**, a vector database which stores embeddings of the ingested data. + +This enables **vector search**, a more powerful and context-aware search. + +We've chosen [Astra DB](https://astra.datastax.com/signup?utm_source=langflow-pre-release&utm_medium=referral&utm_campaign=langflow-announcement&utm_content=create-a-free-astra-db-account) as the vector database for this starter project, but you can follow along with any of Langflow's vector database options. + +## Prerequisites + + + Langflow v1.0 alpha is also available in [HuggingFace Spaces](https://huggingface.co/spaces/Langflow/Langflow-Preview?duplicate=true). Try it out or follow the instructions [here](../getting-started/huggingface-spaces) to install it locally. + + +* [Langflow installed](../getting-started/install-langflow.mdx) + +* [OpenAI API key](https://platform.openai.com) + +* [An Astra DB vector database created](https://docs.datastax.com/en/astra-db-serverless/get-started/quickstart.html) with: + * Application token (`AstraCS:WSnyFUhRxsrg…​`) + * API endpoint (`https://ASTRA_DB_ID-ASTRA_DB_REGION.apps.astra.datastax.com`) + +## Create the vector store RAG project + +1. From the Langflow dashboard, click **New Project**. +2. Select **Vector Store RAG**. +3. The **Vector Store RAG** flow is created. + + + +The vector store RAG flow is built of two separate flows. + +The **ingestion** flow (bottom of the screen) populates the vector store with data from a local file. +It ingests data from a file (**File**), splits it into chunks (**Recursive Character Text Splitter**), indexes it in Astra DB (**Astra DB**), and computes embeddings for the chunks (**OpenAI Embeddings**). +This forms a "brain" for the query flow. + +The **query** flow (top of the screen) allows users to chat with the embedded vector store data. It's a little more complex: + +* **Chat Input** component defines where to put the user input coming from the Playground. +* **OpenAI Embeddings** component generates embeddings from the user input. +* **Astra DB Search** component retrieves the most relevant Records from the Astra DB database. +* **Text Output** component turns the Records into Text by concatenating them and also displays it in the Playground. +* **Prompt** component takes in the user input and the retrieved Records as text and builds a prompt for the OpenAI model. +* **OpenAI** component generates a response to the prompt. +* **Chat Output** component displays the response in the Playground. + +4. To create an environment variable for the **OpenAI** component, in the **OpenAI API Key** field, click the **Globe** button, and then click **Add New Variable**. + 1. In the **Variable Name** field, enter `openai_api_key`. + 2. In the **Value** field, paste your OpenAI API Key (`sk-...`). + 3. Click **Save Variable**. + +4. To create environment variables for the **Astra DB** and **Astra DB Search** components: + 1. In the **Token** field, click the **Globe** button, and then click **Add New Variable**. + 2. In the **Variable Name** field, enter `astra_token`. + 3. In the **Value** field, paste your Astra application token (`AstraCS:WSnyFUhRxsrg…​`). + 4. Click **Save Variable**. + 5. Repeat the above steps for the **API Endpoint** field, pasting your Astra API Endpoint instead (`https://ASTRA_DB_ID-ASTRA_DB_REGION.apps.astra.datastax.com`). + 6. Add the global variable to both the **Astra DB** and **Astra DB Search** components. + +## Run the vector store RAG flow + +1. Click the **Playground** button. +The **Playground** opens, where you can chat with your data. +2. Type a message and press Enter. (Try something like "What topics do you know about?") +3. The bot will respond with a summary of the data you've embedded. + +For example, we embedded a PDF of an engine maintenance manual and asked, "How do I change the oil?" +The bot responds: +``` +To change the oil in the engine, follow these steps: + +Make sure the engine is turned off and cool before starting. + +Locate the oil drain plug on the bottom of the engine. + +Place a drain pan underneath the oil drain plug to catch the old oil... +``` + +We can also get more specific: + +``` +User +What size wrench should I use to remove the oil drain cap? + +AI +You should use a 3/8 inch wrench to remove the oil drain cap. +``` + +This is the size the engine manual lists as well. This confirms our flow works, because the query returns the unique knowledge we embedded from the Astra vector store. + + + + diff --git a/docs/docs/guides/chatprompttemplate_guide.mdx b/docs/docs/tutorials/chatprompttemplate_guide.mdx similarity index 100% rename from docs/docs/guides/chatprompttemplate_guide.mdx rename to docs/docs/tutorials/chatprompttemplate_guide.mdx diff --git a/docs/docs/guides/loading_document.mdx b/docs/docs/tutorials/loading_document.mdx similarity index 100% rename from docs/docs/guides/loading_document.mdx rename to docs/docs/tutorials/loading_document.mdx diff --git a/docs/docs/guides/rag-with-astradb.mdx b/docs/docs/tutorials/rag-with-astradb.mdx similarity index 95% rename from docs/docs/guides/rag-with-astradb.mdx rename to docs/docs/tutorials/rag-with-astradb.mdx index d04b0c698..9bb813f55 100644 --- a/docs/docs/guides/rag-with-astradb.mdx +++ b/docs/docs/tutorials/rag-with-astradb.mdx @@ -121,18 +121,18 @@ And run it! This will ingest the Text data from your file into the Astra DB data style={{ width: "80%", margin: "20px auto" }} /> -Now, on to the **RAG Flow**. This flow is responsible for generating responses to your queries. It will define all of the steps from getting the User's input to generating a response and displaying it in the Interaction Panel. +Now, on to the **RAG Flow**. This flow is responsible for generating responses to your queries. It will define all of the steps from getting the User's input to generating a response and displaying it in the Playground. The RAG flow is a bit more complex. It consists of: -- **Chat Input** component that defines where to put the user input coming from the Interaction Panel +- **Chat Input** component that defines where to put the user input coming from the Playground - **OpenAI Embeddings** component that generates embeddings from the user input - **Astra DB Search** component that retrieves the most relevant Records from the Astra DB database -- **Text Output** component that turns the Records into Text by concatenating them and also displays it in the Interaction Panel - - One interesting point you'll see here is that this component is named `Extracted Chunks`, and that is how it will appear in the Interaction Panel +- **Text Output** component that turns the Records into Text by concatenating them and also displays it in the Playground + - One interesting point you'll see here is that this component is named `Extracted Chunks`, and that is how it will appear in the Playground - **Prompt** component that takes in the user input and the retrieved Records as text and builds a prompt for the OpenAI model - **OpenAI** component that generates a response to the prompt -- **Chat Output** component that displays the response in the Interaction Panel +- **Chat Output** component that displays the response in the Playground -To run it all we have to do is click on the ⚡ _Run_ button and start interacting with your RAG application. +To run it all we have to do is click on the 🤖 _Playground_ button and start interacting with your RAG application. -This opens the Interaction Panel where you can chat your data. +This opens the Playground where you can chat your data. Because this flow has a **Chat Input** and a **Text Output** component, the Panel displays a chat input at the bottom and the Extracted Chunks section on the left. diff --git a/docs/docs/whats-new/a-new-chapter-langflow.mdx b/docs/docs/whats-new/a-new-chapter-langflow.mdx index bc3e498ba..3ff74ffb2 100644 --- a/docs/docs/whats-new/a-new-chapter-langflow.mdx +++ b/docs/docs/whats-new/a-new-chapter-langflow.mdx @@ -36,18 +36,18 @@ The caveat is existing projects may need some new Components to get them back to ## Custom Interactions The moment we decided to make this change, we saw the potential to make Langflow even more yours. -By having a clear definition of Inputs and Outputs, we could build the experience around that which led us to create the **Interaction Panel**. +By having a clear definition of Inputs and Outputs, we could build the experience around that which led us to create the **Playground**. -When building a project testing and debugging is crucial. The Interaction Panel is a tool that changes dynamically based on the Inputs and Outputs you defined in your project. +When building a project testing and debugging is crucial. The Playground is a tool that changes dynamically based on the Inputs and Outputs you defined in your project. For example, let's say you are building a simple RAG application. Generally, you have an Input, some references that come from a Vector Store Search, a Prompt and the answer. -Now, you could plug the output of your Prompt into a [Text Output](../components/outputs#Text-Output), rename that to "Prompt Result" and see the output of your Prompt in the Interaction Panel. +Now, you could plug the output of your Prompt into a [Text Output](../components/outputs#Text-Output), rename that to "Prompt Result" and see the output of your Prompt in the Playground. {/* Add image here of the described above */} -This is just one example of how the Interaction Panel can help you build and debug your projects. +This is just one example of how the Playground can help you build and debug your projects. -We have many planned features for the Interaction Panel, and we're excited to see how you use it and what you think of it. +We have many planned features for the Playground, and we're excited to see how you use it and what you think of it. ## An easier start @@ -61,11 +61,11 @@ We wanted to create start projects that would help you learn about new features For now, we have: -- **[Basic Prompting (Hello, World)](/guides/basic-prompting)**: A simple flow that shows you how to use the Prompt Component and how to talk like a pirate. -- **[Vector Store RAG](/guides/rag-with-astradb)**: A flow that shows you how to ingest data into a Vector Store and then use it to run a RAG application. -- **[Memory Chatbot](/guides/memory-chatbot)**: This one shows you how to create a simple chatbot that can remember things about the user. -- **[Document QA](/guides/document-qa)**: This flow shows you how to build a simple flow that helps you get answers about a document. -- **[Blog Writer](/guides/blog-writer)**: Shows you how you can expand on the Prompt variables and be creative about what inputs you add to it. +- **[Basic Prompting (Hello, World)](/starter-projects/basic-prompting)**: A simple flow that shows you how to use the Prompt Component and how to talk like a pirate. +- **[Vector Store RAG](/tutorials/rag-with-astradb)**: A flow that shows you how to ingest data into a Vector Store and then use it to run a RAG application. +- **[Memory Chatbot](/starter-projects/memory-chatbot)**: This one shows you how to create a simple chatbot that can remember things about the user. +- **[Document QA](/starter-projects/document-qa)**: This flow shows you how to build a simple flow that helps you get answers about a document. +- **[Blog Writer](/starter-projects/blog-writer)**: Shows you how you can expand on the Prompt variables and be creative about what inputs you add to it. As always, your feedback is invaluable, so please let us know what you think of the new starter projects and what you would like to see in the future. diff --git a/docs/sidebars.js b/docs/sidebars.js index 74c3dc4c8..81b255a66 100644 --- a/docs/sidebars.js +++ b/docs/sidebars.js @@ -2,74 +2,50 @@ module.exports = { docs: [ { type: "category", - label: " Getting Started", + label: "What's New?", + collapsed: false, + items: ["whats-new/a-new-chapter-langflow"], + }, + { + type: "category", + label: "Getting Started", collapsed: false, items: [ "index", - "getting-started/cli", - // "guides/basic-prompting", - // "guides/document-qa", - // "guides/blog-writer", - // "guides/memory-chatbot", - "guides/rag-with-astradb", + "getting-started/install-langflow", + "getting-started/quickstart", + "getting-started/huggingface-spaces", + "getting-started/new-to-llms", ], }, { type: "category", - label: " What's New", + label: "Starter Projects", collapsed: false, items: [ - "whats-new/a-new-chapter-langflow", - "whats-new/migrating-to-one-point-zero", + "starter-projects/basic-prompting", + "starter-projects/blog-writer", + "starter-projects/document-qa", + "starter-projects/memory-chatbot", + "starter-projects/vector-store-rag", ], }, - { type: "category", - label: " Migration Guides", + label: "Administration", collapsed: false, items: [ - "migration/possible-installation-issues", - // "migration/flow-of-data", - "migration/inputs-and-outputs", - // "migration/supported-frameworks", - // "migration/sidebar-and-interaction-panel", - // "migration/new-categories-and-components", - "migration/text-and-record", - // "migration/custom-component", - "migration/compatibility", - // "migration/multiple-flows", - // "migration/component-status-and-data-passing", - // "migration/connecting-output-components", - // "migration/renaming-and-editing-components", - // "migration/passing-tweaks-and-inputs", - "migration/global-variables", - // "migration/experimental-components", - // "migration/state-management", + "administration/login", + "administration/api", + "administration/cli", + "administration/playground", + "administration/global-env", + "administration/components", + "administration/collection", + "administration/prompt-customization", + "administration/langfuse_integration", ], }, - { - type: "category", - label: "Guidelines", - collapsed: false, - items: [ - "guidelines/login", - "guidelines/api", - "guidelines/components", - // "guidelines/features", - "guidelines/collection", - "guidelines/prompt-customization", - // "guidelines/chat-interface", - // "guidelines/chat-widget", - // "guidelines/custom-component", - ], - }, - { - type: "category", - label: "Extended Components", - collapsed: false, - items: ["guides/langfuse_integration"], - }, { type: "category", label: "Core Components", @@ -82,19 +58,18 @@ module.exports = { "components/helpers", "components/vector-stores", "components/embeddings", + "components/custom", ], }, { type: "category", label: "Extended Components", - collapsed: false, + collapsed: true, items: [ "components/agents", "components/chains", - "components/loaders", "components/experimental", "components/utilities", - "components/memories", "components/model_specs", "components/retrievers", "components/text-splitters", @@ -102,24 +77,47 @@ module.exports = { "components/tools", ], }, - // { - // type: "category", - // label: "Examples", - // collapsed: false, - // items: [ - // // "examples/flow-runner", - // // "examples/conversation-chain", - // // "examples/buffer-memory", - // // "examples/csv-loader", - // // "examples/searchapi-tool", - // // "examples/serp-api-tool", - // // "examples/python-function", - // ], - // }, + { + type: "category", + label: "Example Components", + collapsed: true, + items: [ + "examples/flow-runner", + "examples/conversation-chain", + "examples/buffer-memory", + "examples/csv-loader", + "examples/searchapi-tool", + "examples/serp-api-tool", + "examples/python-function", + ], + }, + { + type: "category", + label: "Migration Guides", + collapsed: false, + items: [ + "migration/possible-installation-issues", + "migration/migrating-to-one-point-zero", + "migration/inputs-and-outputs", + "migration/text-and-record", + "migration/compatibility", + "migration/global-variables", + ], + }, + { + type: "category", + label: "Tutorials", + collapsed: true, + items: [ + "tutorials/chatprompttemplate_guide", + "tutorials/loading_document", + "tutorials/rag-with-astradb", + ], + }, { type: "category", label: "Deployment", - collapsed: false, + collapsed: true, items: ["deployment/gcp-deployment"], }, { @@ -130,6 +128,7 @@ module.exports = { "contributing/how-contribute", "contributing/github-issues", "contributing/community", + "contributing/contribute-component", ], }, ], diff --git a/docs/static/data/AstraDB-RAG-Flows.json b/docs/static/data/AstraDB-RAG-Flows.json index 5706a0fbf..3bc1c8634 100644 --- a/docs/static/data/AstraDB-RAG-Flows.json +++ b/docs/static/data/AstraDB-RAG-Flows.json @@ -20,7 +20,7 @@ "list": false, "show": true, "multiline": true, - "value": "from typing import Optional, Union\n\nfrom langflow.base.io.chat import ChatComponent\nfrom langflow.field_typing import Text\nfrom langflow.schema import Record\n\n\nclass ChatInput(ChatComponent):\n display_name = \"Chat Input\"\n description = \"Get chat inputs from the Interaction Panel.\"\n icon = \"ChatInput\"\n\n def build_config(self):\n build_config = super().build_config()\n build_config[\"input_value\"] = {\n \"input_types\": [],\n \"display_name\": \"Message\",\n \"multiline\": True,\n }\n\n return build_config\n\n def build(\n self,\n sender: Optional[str] = \"User\",\n sender_name: Optional[str] = \"User\",\n input_value: Optional[str] = None,\n session_id: Optional[str] = None,\n return_record: Optional[bool] = False,\n ) -> Union[Text, Record]:\n return super().build(\n sender=sender,\n sender_name=sender_name,\n input_value=input_value,\n session_id=session_id,\n return_record=return_record,\n )\n", + "value": "from typing import Optional, Union\n\nfrom langflow.base.io.chat import ChatComponent\nfrom langflow.field_typing import Text\nfrom langflow.schema import Record\n\n\nclass ChatInput(ChatComponent):\n display_name = \"Chat Input\"\n description = \"Get chat inputs from the Playground.\"\n icon = \"ChatInput\"\n\n def build_config(self):\n build_config = super().build_config()\n build_config[\"input_value\"] = {\n \"input_types\": [],\n \"display_name\": \"Message\",\n \"multiline\": True,\n }\n\n return build_config\n\n def build(\n self,\n sender: Optional[str] = \"User\",\n sender_name: Optional[str] = \"User\",\n input_value: Optional[str] = None,\n session_id: Optional[str] = None,\n return_record: Optional[bool] = False,\n ) -> Union[Text, Record]:\n return super().build(\n sender=sender,\n sender_name=sender_name,\n input_value=input_value,\n session_id=session_id,\n return_record=return_record,\n )\n", "fileTypes": [], "file_path": "", "password": false, @@ -141,7 +141,7 @@ }, "_type": "CustomComponent" }, - "description": "Get chat inputs from the Interaction Panel.", + "description": "Get chat inputs from the Playground.", "icon": "ChatInput", "base_classes": [ "Text", @@ -214,7 +214,7 @@ "list": false, "show": true, "multiline": true, - "value": "from typing import Optional\n\nfrom langflow.base.io.text import TextComponent\nfrom langflow.field_typing import Text\n\n\nclass TextOutput(TextComponent):\n display_name = \"Text Output\"\n description = \"Display a text output in the Interaction Panel.\"\n icon = \"type\"\n\n def build_config(self):\n return {\n \"input_value\": {\n \"display_name\": \"Value\",\n \"input_types\": [\"Record\", \"Text\"],\n \"info\": \"Text or Record to be passed as output.\",\n },\n \"record_template\": {\n \"display_name\": \"Record Template\",\n \"multiline\": True,\n \"info\": \"Template to convert Record to Text. If left empty, it will be dynamically set to the Record's text key.\",\n \"advanced\": True,\n },\n }\n\n def build(self, input_value: Optional[Text] = \"\", record_template: str = \"\") -> Text:\n return super().build(input_value=input_value, record_template=record_template)\n", + "value": "from typing import Optional\n\nfrom langflow.base.io.text import TextComponent\nfrom langflow.field_typing import Text\n\n\nclass TextOutput(TextComponent):\n display_name = \"Text Output\"\n description = \"Display a text output in the Playground.\"\n icon = \"type\"\n\n def build_config(self):\n return {\n \"input_value\": {\n \"display_name\": \"Value\",\n \"input_types\": [\"Record\", \"Text\"],\n \"info\": \"Text or Record to be passed as output.\",\n },\n \"record_template\": {\n \"display_name\": \"Record Template\",\n \"multiline\": True,\n \"info\": \"Template to convert Record to Text. If left empty, it will be dynamically set to the Record's text key.\",\n \"advanced\": True,\n },\n }\n\n def build(self, input_value: Optional[Text] = \"\", record_template: str = \"\") -> Text:\n return super().build(input_value=input_value, record_template=record_template)\n", "fileTypes": [], "file_path": "", "password": false, @@ -249,7 +249,7 @@ }, "_type": "CustomComponent" }, - "description": "Display a text output in the Interaction Panel.", + "description": "Display a text output in the Playground.", "icon": "type", "base_classes": [ "object", @@ -1255,7 +1255,7 @@ "list": false, "show": true, "multiline": true, - "value": "from typing import Optional, Union\n\nfrom langflow.base.io.chat import ChatComponent\nfrom langflow.field_typing import Text\nfrom langflow.schema import Record\n\n\nclass ChatOutput(ChatComponent):\n display_name = \"Chat Output\"\n description = \"Display a chat message in the Interaction Panel.\"\n icon = \"ChatOutput\"\n\n def build(\n self,\n sender: Optional[str] = \"Machine\",\n sender_name: Optional[str] = \"AI\",\n input_value: Optional[str] = None,\n session_id: Optional[str] = None,\n return_record: Optional[bool] = False,\n record_template: Optional[str] = \"{text}\",\n ) -> Union[Text, Record]:\n return super().build(\n sender=sender,\n sender_name=sender_name,\n input_value=input_value,\n session_id=session_id,\n return_record=return_record,\n record_template=record_template,\n )\n", + "value": "from typing import Optional, Union\n\nfrom langflow.base.io.chat import ChatComponent\nfrom langflow.field_typing import Text\nfrom langflow.schema import Record\n\n\nclass ChatOutput(ChatComponent):\n display_name = \"Chat Output\"\n description = \"Display a chat message in the Playground.\"\n icon = \"ChatOutput\"\n\n def build(\n self,\n sender: Optional[str] = \"Machine\",\n sender_name: Optional[str] = \"AI\",\n input_value: Optional[str] = None,\n session_id: Optional[str] = None,\n return_record: Optional[bool] = False,\n record_template: Optional[str] = \"{text}\",\n ) -> Union[Text, Record]:\n return super().build(\n sender=sender,\n sender_name=sender_name,\n input_value=input_value,\n session_id=session_id,\n return_record=return_record,\n record_template=record_template,\n )\n", "fileTypes": [], "file_path": "", "password": false, @@ -1399,7 +1399,7 @@ }, "_type": "CustomComponent" }, - "description": "Display a chat message in the Interaction Panel.", + "description": "Display a chat message in the Playground.", "icon": "ChatOutput", "base_classes": [ "object", @@ -3396,7 +3396,7 @@ "zoom": 0.2687057134854984 } }, - "description": "Visit https://pre-release.langflow.org/guides/rag-with-astradb for a detailed guide of this project.\nThis project give you both Ingestion and RAG in a single file. You'll need to visit https://astra.datastax.com/ to create an Astra DB instance, your Token and grab an API Endpoint.\nRunning this project requires you to add a file in the Files component, then define a Collection Name and click on the Play icon on the Astra DB component. \n\nAfter the ingestion ends you are ready to click on the Run button at the lower left corner and start asking questions about your data.", + "description": "Visit https://pre-release.langflow.org/tutorials/rag-with-astradb for a detailed guide of this project.\nThis project give you both Ingestion and RAG in a single file. You'll need to visit https://astra.datastax.com/ to create an Astra DB instance, your Token and grab an API Endpoint.\nRunning this project requires you to add a file in the Files component, then define a Collection Name and click on the Play icon on the Astra DB component. \n\nAfter the ingestion ends you are ready to click on the Run button at the lower left corner and start asking questions about your data.", "name": "Vector Store RAG", "last_tested_version": "1.0.0a0", "is_component": false diff --git a/docs/static/img/add-component-to-store.png b/docs/static/img/add-component-to-store.png new file mode 100644 index 000000000..2ccb0a046 Binary files /dev/null and b/docs/static/img/add-component-to-store.png differ diff --git a/docs/static/img/astra-rag-flow-run.png b/docs/static/img/astra-rag-flow-run.png index 8a1c849eb..b95b8a431 100644 Binary files a/docs/static/img/astra-rag-flow-run.png and b/docs/static/img/astra-rag-flow-run.png differ diff --git a/docs/static/img/basic-prompting.png b/docs/static/img/basic-prompting.png new file mode 100644 index 000000000..76d658a2d Binary files /dev/null and b/docs/static/img/basic-prompting.png differ diff --git a/docs/static/img/blog-writer.png b/docs/static/img/blog-writer.png new file mode 100644 index 000000000..d7b0d3780 Binary files /dev/null and b/docs/static/img/blog-writer.png differ diff --git a/docs/static/img/document-qa.png b/docs/static/img/document-qa.png new file mode 100644 index 000000000..b1c36eb61 Binary files /dev/null and b/docs/static/img/document-qa.png differ diff --git a/docs/static/img/global-env.png b/docs/static/img/global-env.png new file mode 100644 index 000000000..763444dc4 Binary files /dev/null and b/docs/static/img/global-env.png differ diff --git a/docs/static/img/memory-chatbot.png b/docs/static/img/memory-chatbot.png new file mode 100644 index 000000000..53d19b49c Binary files /dev/null and b/docs/static/img/memory-chatbot.png differ diff --git a/docs/static/img/playground-chat.png b/docs/static/img/playground-chat.png new file mode 100644 index 000000000..d2625c28f Binary files /dev/null and b/docs/static/img/playground-chat.png differ diff --git a/docs/static/img/quickstart.png b/docs/static/img/quickstart.png new file mode 100644 index 000000000..ff40f436b Binary files /dev/null and b/docs/static/img/quickstart.png differ diff --git a/docs/static/img/vector-store-rag.png b/docs/static/img/vector-store-rag.png new file mode 100644 index 000000000..b0055cdfd Binary files /dev/null and b/docs/static/img/vector-store-rag.png differ diff --git a/docs/docs/getting-started/basic-prompting.mdx b/eslint.config.js similarity index 100% rename from docs/docs/getting-started/basic-prompting.mdx rename to eslint.config.js diff --git a/example.har b/example.har index 5021c7da5..a4c59bf31 100644 --- a/example.har +++ b/example.har @@ -28,8 +28,14 @@ { "name": "Sec-Fetch-Dest", "value": "empty" }, { "name": "Sec-Fetch-Mode", "value": "cors" }, { "name": "Sec-Fetch-Site", "value": "same-origin" }, - { "name": "User-Agent", "value": "Mozilla/5.0 (X11; Linux x86_64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/119.0.0.0 Safari/537.36" }, - { "name": "sec-ch-ua", "value": "\"Chromium\";v=\"119\", \"Not?A_Brand\";v=\"24\"" }, + { + "name": "User-Agent", + "value": "Mozilla/5.0 (X11; Linux x86_64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/119.0.0.0 Safari/537.36" + }, + { + "name": "sec-ch-ua", + "value": "\"Chromium\";v=\"119\", \"Not?A_Brand\";v=\"24\"" + }, { "name": "sec-ch-ua-mobile", "value": "?0" }, { "name": "sec-ch-ua-platform", "value": "\"Linux\"" } ], @@ -80,8 +86,14 @@ { "name": "Sec-Fetch-Dest", "value": "empty" }, { "name": "Sec-Fetch-Mode", "value": "cors" }, { "name": "Sec-Fetch-Site", "value": "same-origin" }, - { "name": "User-Agent", "value": "Mozilla/5.0 (X11; Linux x86_64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/119.0.0.0 Safari/537.36" }, - { "name": "sec-ch-ua", "value": "\"Chromium\";v=\"119\", \"Not?A_Brand\";v=\"24\"" }, + { + "name": "User-Agent", + "value": "Mozilla/5.0 (X11; Linux x86_64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/119.0.0.0 Safari/537.36" + }, + { + "name": "sec-ch-ua", + "value": "\"Chromium\";v=\"119\", \"Not?A_Brand\";v=\"24\"" + }, { "name": "sec-ch-ua-mobile", "value": "?0" }, { "name": "sec-ch-ua-platform", "value": "\"Linux\"" } ], @@ -132,8 +144,14 @@ { "name": "Sec-Fetch-Dest", "value": "empty" }, { "name": "Sec-Fetch-Mode", "value": "cors" }, { "name": "Sec-Fetch-Site", "value": "same-origin" }, - { "name": "User-Agent", "value": "Mozilla/5.0 (X11; Linux x86_64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/119.0.0.0 Safari/537.36" }, - { "name": "sec-ch-ua", "value": "\"Chromium\";v=\"119\", \"Not?A_Brand\";v=\"24\"" }, + { + "name": "User-Agent", + "value": "Mozilla/5.0 (X11; Linux x86_64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/119.0.0.0 Safari/537.36" + }, + { + "name": "sec-ch-ua", + "value": "\"Chromium\";v=\"119\", \"Not?A_Brand\";v=\"24\"" + }, { "name": "sec-ch-ua-mobile", "value": "?0" }, { "name": "sec-ch-ua-platform", "value": "\"Linux\"" } ], @@ -184,8 +202,14 @@ { "name": "Sec-Fetch-Dest", "value": "empty" }, { "name": "Sec-Fetch-Mode", "value": "cors" }, { "name": "Sec-Fetch-Site", "value": "same-origin" }, - { "name": "User-Agent", "value": "Mozilla/5.0 (X11; Linux x86_64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/119.0.0.0 Safari/537.36" }, - { "name": "sec-ch-ua", "value": "\"Chromium\";v=\"119\", \"Not?A_Brand\";v=\"24\"" }, + { + "name": "User-Agent", + "value": "Mozilla/5.0 (X11; Linux x86_64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/119.0.0.0 Safari/537.36" + }, + { + "name": "sec-ch-ua", + "value": "\"Chromium\";v=\"119\", \"Not?A_Brand\";v=\"24\"" + }, { "name": "sec-ch-ua-mobile", "value": "?0" }, { "name": "sec-ch-ua-platform", "value": "\"Linux\"" } ], @@ -236,8 +260,14 @@ { "name": "Sec-Fetch-Dest", "value": "empty" }, { "name": "Sec-Fetch-Mode", "value": "cors" }, { "name": "Sec-Fetch-Site", "value": "same-origin" }, - { "name": "User-Agent", "value": "Mozilla/5.0 (X11; Linux x86_64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/119.0.0.0 Safari/537.36" }, - { "name": "sec-ch-ua", "value": "\"Chromium\";v=\"119\", \"Not?A_Brand\";v=\"24\"" }, + { + "name": "User-Agent", + "value": "Mozilla/5.0 (X11; Linux x86_64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/119.0.0.0 Safari/537.36" + }, + { + "name": "sec-ch-ua", + "value": "\"Chromium\";v=\"119\", \"Not?A_Brand\";v=\"24\"" + }, { "name": "sec-ch-ua-mobile", "value": "?0" }, { "name": "sec-ch-ua-platform", "value": "\"Linux\"" } ], @@ -282,16 +312,28 @@ { "name": "Accept", "value": "application/json, text/plain, */*" }, { "name": "Accept-Encoding", "value": "gzip, deflate, br" }, { "name": "Accept-Language", "value": "en-US,en;q=0.9" }, - { "name": "Authorization", "value": "Bearer eyJhbGciOiJIUzI1NiIsInR5cCI6IkpXVCJ9.eyJzdWIiOiJkMjUzYmZiYS02MzY4LTQ0ZGMtODVmNy0wZDZkYTllNDU5NjgiLCJleHAiOjE3MzM4NTY4OTh9.5MFFb0JCck3ITSKXbxhwO9yAscnXcwXNTV70ZYBRB20" }, + { + "name": "Authorization", + "value": "Bearer eyJhbGciOiJIUzI1NiIsInR5cCI6IkpXVCJ9.eyJzdWIiOiJkMjUzYmZiYS02MzY4LTQ0ZGMtODVmNy0wZDZkYTllNDU5NjgiLCJleHAiOjE3MzM4NTY4OTh9.5MFFb0JCck3ITSKXbxhwO9yAscnXcwXNTV70ZYBRB20" + }, { "name": "Connection", "value": "keep-alive" }, - { "name": "Cookie", "value": "access_tkn_lflw=eyJhbGciOiJIUzI1NiIsInR5cCI6IkpXVCJ9.eyJzdWIiOiJkMjUzYmZiYS02MzY4LTQ0ZGMtODVmNy0wZDZkYTllNDU5NjgiLCJleHAiOjE3MzM4NTY4OTh9.5MFFb0JCck3ITSKXbxhwO9yAscnXcwXNTV70ZYBRB20; refresh_tkn_lflw=auto" }, + { + "name": "Cookie", + "value": "access_tkn_lflw=eyJhbGciOiJIUzI1NiIsInR5cCI6IkpXVCJ9.eyJzdWIiOiJkMjUzYmZiYS02MzY4LTQ0ZGMtODVmNy0wZDZkYTllNDU5NjgiLCJleHAiOjE3MzM4NTY4OTh9.5MFFb0JCck3ITSKXbxhwO9yAscnXcwXNTV70ZYBRB20; refresh_tkn_lflw=auto" + }, { "name": "Host", "value": "localhost:3000" }, { "name": "Referer", "value": "http://localhost:3000/flows" }, { "name": "Sec-Fetch-Dest", "value": "empty" }, { "name": "Sec-Fetch-Mode", "value": "cors" }, { "name": "Sec-Fetch-Site", "value": "same-origin" }, - { "name": "User-Agent", "value": "Mozilla/5.0 (X11; Linux x86_64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/119.0.0.0 Safari/537.36" }, - { "name": "sec-ch-ua", "value": "\"Chromium\";v=\"119\", \"Not?A_Brand\";v=\"24\"" }, + { + "name": "User-Agent", + "value": "Mozilla/5.0 (X11; Linux x86_64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/119.0.0.0 Safari/537.36" + }, + { + "name": "sec-ch-ua", + "value": "\"Chromium\";v=\"119\", \"Not?A_Brand\";v=\"24\"" + }, { "name": "sec-ch-ua-mobile", "value": "?0" }, { "name": "sec-ch-ua-platform", "value": "\"Linux\"" } ], @@ -315,7 +357,7 @@ "content": { "size": -1, "mimeType": "application/json", - "text": "[{\"name\":\"Awesome Euclid\",\"description\":\"Language Models, Mapped and Mastered.\",\"data\":{\"nodes\":[{\"width\":384,\"height\":374,\"id\":\"PromptTemplate-m2yFu\",\"type\":\"genericNode\",\"position\":{\"x\":462.6456058272081,\"y\":1033.9314297130313},\"data\":{\"type\":\"PromptTemplate\",\"node\":{\"template\":{\"output_parser\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"password\":false,\"name\":\"output_parser\",\"advanced\":false,\"dynamic\":true,\"info\":\"\",\"type\":\"BaseOutputParser\",\"list\":false},\"input_types\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"password\":false,\"name\":\"input_types\",\"advanced\":false,\"dynamic\":true,\"info\":\"\",\"type\":\"dict\",\"list\":false},\"input_variables\":{\"required\":true,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"password\":false,\"name\":\"input_variables\",\"advanced\":false,\"dynamic\":true,\"info\":\"\",\"type\":\"str\",\"list\":true,\"value\":[\"transcription\"]},\"partial_variables\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"password\":false,\"name\":\"partial_variables\",\"advanced\":false,\"dynamic\":true,\"info\":\"\",\"type\":\"dict\",\"list\":false},\"template\":{\"required\":true,\"placeholder\":\"\",\"show\":true,\"multiline\":true,\"password\":false,\"name\":\"template\",\"advanced\":false,\"dynamic\":true,\"info\":\"\",\"type\":\"prompt\",\"list\":false,\"value\":\"create an image prompt based on the song's lyrics to be used as the album cover of this song:\\n\\nlyrics:\\n{transcription}\"},\"template_format\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"value\":\"f-string\",\"password\":false,\"name\":\"template_format\",\"advanced\":false,\"dynamic\":true,\"info\":\"\",\"type\":\"str\",\"list\":false},\"validate_template\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"value\":false,\"password\":false,\"name\":\"validate_template\",\"advanced\":false,\"dynamic\":true,\"info\":\"\",\"type\":\"bool\",\"list\":false},\"_type\":\"PromptTemplate\",\"transcription\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":true,\"value\":\"\",\"password\":false,\"name\":\"transcription\",\"display_name\":\"transcription\",\"advanced\":false,\"input_types\":[\"Document\",\"BaseOutputParser\"],\"dynamic\":false,\"info\":\"\",\"type\":\"str\",\"list\":false}},\"description\":\"A prompt template for a language model.\",\"base_classes\":[\"PromptTemplate\",\"StringPromptTemplate\",\"BasePromptTemplate\"],\"name\":\"\",\"display_name\":\"PromptTemplate\",\"documentation\":\"https://python.langchain.com/docs/modules/model_io/prompts/prompt_templates/\",\"custom_fields\":{\"\":[\"transcription\"],\"template\":[\"transcription\",\"question\"]},\"output_types\":[],\"full_path\":null,\"field_formatters\":{},\"beta\":false,\"error\":null},\"id\":\"PromptTemplate-m2yFu\"},\"selected\":false,\"positionAbsolute\":{\"x\":462.6456058272081,\"y\":1033.9314297130313},\"dragging\":false},{\"width\":384,\"height\":626,\"id\":\"ChatOpenAI-urapv\",\"type\":\"genericNode\",\"position\":{\"x\":189.94856095084924,\"y\":-85.06556385338186},\"data\":{\"type\":\"ChatOpenAI\",\"node\":{\"template\":{\"callbacks\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"password\":false,\"name\":\"callbacks\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"langchain_core.callbacks.base.BaseCallbackHandler\",\"list\":true},\"async_client\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"password\":false,\"name\":\"async_client\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"Any\",\"list\":false},\"cache\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"password\":false,\"name\":\"cache\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"bool\",\"list\":false},\"client\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"password\":false,\"name\":\"client\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"Any\",\"list\":false},\"default_headers\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"password\":false,\"name\":\"default_headers\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"dict\",\"list\":false},\"default_query\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"password\":false,\"name\":\"default_query\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"dict\",\"list\":false},\"http_client\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"password\":false,\"name\":\"http_client\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"Any\",\"list\":false},\"max_retries\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"value\":2,\"password\":false,\"name\":\"max_retries\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"int\",\"list\":false},\"max_tokens\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"password\":true,\"name\":\"max_tokens\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"int\",\"list\":false,\"value\":\"\"},\"metadata\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"password\":false,\"name\":\"metadata\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"dict\",\"list\":false},\"model_kwargs\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"password\":false,\"name\":\"model_kwargs\",\"advanced\":true,\"dynamic\":false,\"info\":\"\",\"type\":\"dict\",\"list\":false},\"model_name\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"value\":\"gpt-4-1106-preview\",\"password\":false,\"options\":[\"gpt-4-1106-preview\",\"gpt-4\",\"gpt-4-32k\",\"gpt-3.5-turbo\",\"gpt-3.5-turbo-16k\"],\"name\":\"model_name\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"str\",\"list\":true},\"n\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"value\":1,\"password\":false,\"name\":\"n\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"int\",\"list\":false},\"openai_api_base\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"password\":false,\"name\":\"openai_api_base\",\"display_name\":\"OpenAI API Base\",\"advanced\":false,\"dynamic\":false,\"info\":\"\\nThe base URL of the OpenAI API. Defaults to https://api.openai.com/v1.\\n\\nYou can change this to use other APIs like JinaChat, LocalAI and Prem.\\n\",\"type\":\"str\",\"list\":false},\"openai_api_key\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"value\":\"\",\"password\":true,\"name\":\"openai_api_key\",\"display_name\":\"OpenAI API Key\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"str\",\"list\":false},\"openai_organization\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"password\":false,\"name\":\"openai_organization\",\"display_name\":\"OpenAI Organization\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"str\",\"list\":false},\"openai_proxy\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"password\":false,\"name\":\"openai_proxy\",\"display_name\":\"OpenAI Proxy\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"str\",\"list\":false},\"request_timeout\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"password\":false,\"name\":\"request_timeout\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"float\",\"list\":false},\"streaming\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"value\":false,\"password\":false,\"name\":\"streaming\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"bool\",\"list\":false},\"tags\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"password\":false,\"name\":\"tags\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"str\",\"list\":true},\"temperature\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"value\":0.7,\"password\":false,\"name\":\"temperature\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"float\",\"list\":false},\"tiktoken_model_name\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"password\":false,\"name\":\"tiktoken_model_name\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"str\",\"list\":false},\"verbose\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"value\":false,\"password\":false,\"name\":\"verbose\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"bool\",\"list\":false},\"_type\":\"ChatOpenAI\"},\"description\":\"`OpenAI` Chat large language models API.\",\"base_classes\":[\"ChatOpenAI\",\"BaseChatModel\",\"BaseLanguageModel\",\"BaseLLM\"],\"display_name\":\"ChatOpenAI\",\"custom_fields\":{},\"output_types\":[],\"documentation\":\"https://python.langchain.com/docs/modules/model_io/models/chat/integrations/openai\",\"beta\":false,\"error\":null},\"id\":\"ChatOpenAI-urapv\"},\"selected\":false,\"positionAbsolute\":{\"x\":189.94856095084924,\"y\":-85.06556385338186},\"dragging\":false},{\"width\":384,\"height\":806,\"id\":\"CustomComponent-IEIUl\",\"type\":\"genericNode\",\"position\":{\"x\":2364.865919667005,\"y\":88.43094097025096},\"data\":{\"type\":\"CustomComponent\",\"node\":{\"template\":{\"code\":{\"dynamic\":true,\"required\":true,\"placeholder\":\"\",\"show\":true,\"multiline\":true,\"value\":\"from langflow import CustomComponent\\nfrom langflow.field_typing import Data\\nfrom platformdirs import user_cache_dir\\nimport base64\\nfrom PIL import Image\\nfrom io import BytesIO\\nfrom openai import OpenAI\\nfrom pathlib import Path\\n\\nclass Component(CustomComponent):\\n display_name: str = \\\"Image generator\\\"\\n description: str = \\\"generate images using Dall-E\\\"\\n documentation: str = \\\"http://docs.langflow.org/components/custom\\\"\\n\\n def build_config(self):\\n return {\\\"prompt\\\": {\\\"display_name\\\": \\\"Prompt\\\",\\\"input_types\\\":[\\\"str\\\"]},\\n \\\"api_key\\\":{\\\"display_name\\\":\\\"OpenAI API key\\\",\\\"password\\\":True},\\n \\\"model\\\":{\\\"display_name\\\":\\\"Model name\\\",\\\"advanced\\\":True,\\\"options\\\":[\\\"dall-e-2\\\",\\\"dall-e-3\\\"], \\\"value\\\":\\\"dall-e-3\\\"},\\n \\\"file_name\\\":{\\\"display_name\\\":\\\"File Name\\\"},\\n \\\"output_format\\\":{\\\"display_name\\\":\\\"Output format\\\",\\\"options\\\":[\\\"jpeg\\\",\\\"png\\\"],\\\"value\\\":\\\"jpeg\\\"},\\n \\\"width\\\":{\\\"display_name\\\":\\\"Width\\\" ,\\\"value\\\":1024},\\n \\\"height\\\":{\\\"display_name\\\":\\\"Height\\\", \\\"value\\\":1024}\\n }\\n\\n def build(self, prompt:str,api_key:str,model:str,file_name:str,output_format:str,width:int,height:int):\\n client = OpenAI(api_key=api_key)\\n cache_dir = Path(user_cache_dir(\\\"langflow\\\"))\\n images_dir = cache_dir / \\\"images\\\"\\n images_dir.mkdir(parents=True, exist_ok=True)\\n image_path = images_dir / f\\\"{file_name}.{output_format}\\\"\\n response = client.images.generate(\\n model=model,\\n prompt=prompt,\\n size=f\\\"{height}x{width}\\\",\\n response_format=\\\"b64_json\\\",\\n n=1,\\n )\\n # Decode base64-encoded image string\\n binary_data = base64.b64decode(response.data[0].b64_json)\\n # Create PIL Image object from binary image data\\n image_pil = Image.open(BytesIO(binary_data))\\n image_pil.save(image_path, format=output_format.upper())\\n return \\\"\\\"\",\"password\":false,\"name\":\"code\",\"advanced\":false,\"type\":\"code\",\"list\":false},\"_type\":\"CustomComponent\",\"api_key\":{\"required\":true,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"password\":true,\"name\":\"api_key\",\"display_name\":\"OpenAI API key\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"str\",\"list\":false,\"value\":\"\"},\"file_name\":{\"required\":true,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"password\":false,\"name\":\"file_name\",\"display_name\":\"File Name\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"str\",\"list\":false,\"value\":\"album\"},\"height\":{\"required\":true,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"value\":1024,\"password\":false,\"name\":\"height\",\"display_name\":\"Height\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"int\",\"list\":false},\"model\":{\"required\":true,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"value\":\"dall-e-3\",\"password\":false,\"options\":[\"dall-e-2\",\"dall-e-3\"],\"name\":\"model\",\"display_name\":\"Model name\",\"advanced\":true,\"dynamic\":false,\"info\":\"\",\"type\":\"str\",\"list\":true},\"output_format\":{\"required\":true,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"value\":\"jpeg\",\"password\":false,\"options\":[\"jpeg\",\"png\"],\"name\":\"output_format\",\"display_name\":\"Output format\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"str\",\"list\":true},\"prompt\":{\"required\":true,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"password\":false,\"name\":\"prompt\",\"display_name\":\"Prompt\",\"advanced\":false,\"input_types\":[\"str\"],\"dynamic\":false,\"info\":\"\",\"type\":\"str\",\"list\":false,\"value\":\"\"},\"width\":{\"required\":true,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"value\":1024,\"password\":false,\"name\":\"width\",\"display_name\":\"Width\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"int\",\"list\":false}},\"description\":\"generate images using Dall-E\",\"base_classes\":[\"Data\"],\"display_name\":\"Image generator\",\"custom_fields\":{\"api_key\":null,\"file_name\":null,\"height\":null,\"model\":null,\"output_format\":null,\"prompt\":null,\"width\":null},\"output_types\":[\"Data\"],\"documentation\":\"http://docs.langflow.org/components/custom\",\"beta\":true,\"error\":null},\"id\":\"CustomComponent-IEIUl\"},\"selected\":false,\"positionAbsolute\":{\"x\":2364.865919667005,\"y\":88.43094097025096}},{\"width\":384,\"height\":338,\"id\":\"LLMChain-KlJb3\",\"type\":\"genericNode\",\"position\":{\"x\":1242.9851164540805,\"y\":-139.74634696823108},\"data\":{\"type\":\"LLMChain\",\"node\":{\"template\":{\"code\":{\"dynamic\":true,\"required\":true,\"placeholder\":\"\",\"show\":false,\"multiline\":true,\"value\":\"from typing import Callable, Optional, Union\\n\\nfrom langchain.chains import LLMChain\\n\\nfrom langflow import CustomComponent\\nfrom langflow.field_typing import (\\n BaseLanguageModel,\\n BaseMemory,\\n BasePromptTemplate,\\n Chain,\\n)\\n\\n\\nclass LLMChainComponent(CustomComponent):\\n display_name = \\\"LLMChain\\\"\\n description = \\\"Chain to run queries against LLMs\\\"\\n\\n def build_config(self):\\n return {\\n \\\"prompt\\\": {\\\"display_name\\\": \\\"Prompt\\\"},\\n \\\"llm\\\": {\\\"display_name\\\": \\\"LLM\\\"},\\n \\\"memory\\\": {\\\"display_name\\\": \\\"Memory\\\"},\\n \\\"code\\\": {\\\"show\\\": False},\\n }\\n\\n def build(\\n self,\\n prompt: BasePromptTemplate,\\n llm: BaseLanguageModel,\\n memory: Optional[BaseMemory] = None,\\n ) -> Union[Chain, Callable]:\\n return LLMChain(prompt=prompt, llm=llm, memory=memory)\\n\",\"password\":false,\"name\":\"code\",\"advanced\":false,\"type\":\"code\",\"list\":false,\"display_name\":\"code\"},\"_type\":\"CustomComponent\",\"llm\":{\"required\":true,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"password\":false,\"name\":\"llm\",\"display_name\":\"LLM\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"BaseLanguageModel\",\"list\":false},\"memory\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"password\":false,\"name\":\"memory\",\"display_name\":\"Memory\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"BaseMemory\",\"list\":false},\"prompt\":{\"required\":true,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"password\":false,\"name\":\"prompt\",\"display_name\":\"Prompt\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"BasePromptTemplate\",\"list\":false}},\"description\":\"Chain to run queries against LLMs\",\"base_classes\":[\"Chain\",\"Callable\"],\"display_name\":\"LLMChain\",\"custom_fields\":{\"llm\":null,\"memory\":null,\"prompt\":null},\"output_types\":[\"LLMChain\"],\"documentation\":\"\",\"beta\":true,\"error\":null},\"id\":\"LLMChain-KlJb3\"},\"selected\":false,\"positionAbsolute\":{\"x\":1242.9851164540805,\"y\":-139.74634696823108},\"dragging\":false},{\"width\":384,\"height\":328,\"id\":\"CustomComponent-bCuc0\",\"type\":\"genericNode\",\"position\":{\"x\":1747.8107777342625,\"y\":319.13729017446667},\"data\":{\"type\":\"CustomComponent\",\"node\":{\"template\":{\"code\":{\"dynamic\":true,\"required\":true,\"placeholder\":\"\",\"show\":true,\"multiline\":true,\"value\":\"from langflow import CustomComponent\\nfrom langflow.field_typing import Data\\n\\n\\nclass Component(CustomComponent):\\n display_name: str = \\\"Custom Component\\\"\\n description: str = \\\"Create any custom component you want!\\\"\\n documentation: str = \\\"http://docs.langflow.org/components/custom\\\"\\n\\n def build_config(self):\\n return {\\\"param\\\": {\\\"display_name\\\": \\\"Parameter\\\"}}\\n\\n def build(self, param: Chain) -> str:\\n result = param.run({})\\n self.status = result\\n return result\\n\",\"password\":false,\"name\":\"code\",\"advanced\":false,\"type\":\"code\",\"list\":false},\"_type\":\"CustomComponent\",\"param\":{\"required\":true,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"password\":false,\"name\":\"param\",\"display_name\":\"Parameter\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"Chain\",\"list\":false}},\"description\":\"Create any custom component you want!\",\"base_classes\":[\"str\"],\"display_name\":\"Custom Component\",\"custom_fields\":{\"param\":null},\"output_types\":[\"str\"],\"documentation\":\"http://docs.langflow.org/components/custom\",\"beta\":true,\"error\":null},\"id\":\"CustomComponent-bCuc0\"},\"selected\":false,\"positionAbsolute\":{\"x\":1747.8107777342625,\"y\":319.13729017446667}}],\"edges\":[{\"source\":\"LLMChain-KlJb3\",\"target\":\"CustomComponent-bCuc0\",\"sourceHandle\":\"{œbaseClassesœ:[œChainœ,œCallableœ],œdataTypeœ:œLLMChainœ,œidœ:œLLMChain-KlJb3œ}\",\"targetHandle\":\"{œfieldNameœ:œparamœ,œidœ:œCustomComponent-bCuc0œ,œinputTypesœ:null,œtypeœ:œChainœ}\",\"id\":\"reactflow__edge-LLMChain-KlJb3{œbaseClassesœ:[œChainœ,œCallableœ],œdataTypeœ:œLLMChainœ,œidœ:œLLMChain-KlJb3œ}-CustomComponent-bCuc0{œfieldNameœ:œparamœ,œidœ:œCustomComponent-bCuc0œ,œinputTypesœ:null,œtypeœ:œChainœ}\",\"data\":{\"targetHandle\":{\"fieldName\":\"param\",\"id\":\"CustomComponent-bCuc0\",\"inputTypes\":null,\"type\":\"Chain\"},\"sourceHandle\":{\"baseClasses\":[\"Chain\",\"Callable\"],\"dataType\":\"LLMChain\",\"id\":\"LLMChain-KlJb3\"}},\"style\":{\"stroke\":\"#555\"},\"className\":\"stroke-gray-900 stroke-connection\",\"animated\":false,\"selected\":false},{\"source\":\"ChatOpenAI-urapv\",\"target\":\"LLMChain-KlJb3\",\"sourceHandle\":\"{œbaseClassesœ:[œChatOpenAIœ,œBaseChatModelœ,œBaseLanguageModelœ,œBaseLLMœ],œdataTypeœ:œChatOpenAIœ,œidœ:œChatOpenAI-urapvœ}\",\"targetHandle\":\"{œfieldNameœ:œllmœ,œidœ:œLLMChain-KlJb3œ,œinputTypesœ:null,œtypeœ:œBaseLanguageModelœ}\",\"id\":\"reactflow__edge-ChatOpenAI-urapv{œbaseClassesœ:[œChatOpenAIœ,œBaseChatModelœ,œBaseLanguageModelœ,œBaseLLMœ],œdataTypeœ:œChatOpenAIœ,œidœ:œChatOpenAI-urapvœ}-LLMChain-KlJb3{œfieldNameœ:œllmœ,œidœ:œLLMChain-KlJb3œ,œinputTypesœ:null,œtypeœ:œBaseLanguageModelœ}\",\"data\":{\"targetHandle\":{\"fieldName\":\"llm\",\"id\":\"LLMChain-KlJb3\",\"inputTypes\":null,\"type\":\"BaseLanguageModel\"},\"sourceHandle\":{\"baseClasses\":[\"ChatOpenAI\",\"BaseChatModel\",\"BaseLanguageModel\",\"BaseLLM\"],\"dataType\":\"ChatOpenAI\",\"id\":\"ChatOpenAI-urapv\"}},\"style\":{\"stroke\":\"#555\"},\"className\":\"stroke-gray-900 stroke-connection\",\"animated\":false,\"selected\":false},{\"source\":\"PromptTemplate-m2yFu\",\"target\":\"LLMChain-KlJb3\",\"sourceHandle\":\"{œbaseClassesœ:[œPromptTemplateœ,œStringPromptTemplateœ,œBasePromptTemplateœ],œdataTypeœ:œPromptTemplateœ,œidœ:œPromptTemplate-m2yFuœ}\",\"targetHandle\":\"{œfieldNameœ:œpromptœ,œidœ:œLLMChain-KlJb3œ,œinputTypesœ:null,œtypeœ:œBasePromptTemplateœ}\",\"id\":\"reactflow__edge-PromptTemplate-m2yFu{œbaseClassesœ:[œPromptTemplateœ,œStringPromptTemplateœ,œBasePromptTemplateœ],œdataTypeœ:œPromptTemplateœ,œidœ:œPromptTemplate-m2yFuœ}-LLMChain-KlJb3{œfieldNameœ:œpromptœ,œidœ:œLLMChain-KlJb3œ,œinputTypesœ:null,œtypeœ:œBasePromptTemplateœ}\",\"data\":{\"targetHandle\":{\"fieldName\":\"prompt\",\"id\":\"LLMChain-KlJb3\",\"inputTypes\":null,\"type\":\"BasePromptTemplate\"},\"sourceHandle\":{\"baseClasses\":[\"PromptTemplate\",\"StringPromptTemplate\",\"BasePromptTemplate\"],\"dataType\":\"PromptTemplate\",\"id\":\"PromptTemplate-m2yFu\"}},\"style\":{\"stroke\":\"#555\"},\"className\":\"stroke-gray-900 stroke-connection\",\"animated\":false,\"selected\":false},{\"source\":\"CustomComponent-bCuc0\",\"target\":\"CustomComponent-IEIUl\",\"sourceHandle\":\"{œbaseClassesœ:[œstrœ],œdataTypeœ:œCustomComponentœ,œidœ:œCustomComponent-bCuc0œ}\",\"targetHandle\":\"{œfieldNameœ:œpromptœ,œidœ:œCustomComponent-IEIUlœ,œinputTypesœ:[œstrœ],œtypeœ:œstrœ}\",\"id\":\"reactflow__edge-CustomComponent-bCuc0{œbaseClassesœ:[œstrœ],œdataTypeœ:œCustomComponentœ,œidœ:œCustomComponent-bCuc0œ}-CustomComponent-IEIUl{œfieldNameœ:œpromptœ,œidœ:œCustomComponent-IEIUlœ,œinputTypesœ:[œstrœ],œtypeœ:œstrœ}\",\"data\":{\"targetHandle\":{\"fieldName\":\"prompt\",\"id\":\"CustomComponent-IEIUl\",\"inputTypes\":[\"str\"],\"type\":\"str\"},\"sourceHandle\":{\"baseClasses\":[\"str\"],\"dataType\":\"CustomComponent\",\"id\":\"CustomComponent-bCuc0\"}},\"style\":{\"stroke\":\"#555\"},\"className\":\"stroke-gray-900 stroke-connection\",\"animated\":false,\"selected\":false}],\"viewport\":{\"x\":92.23454077990459,\"y\":183.8125619056221,\"zoom\":0.6070974421975234}},\"is_component\":false,\"updated_at\":\"2023-12-08T21:33:18.503954\",\"folder\":null,\"id\":\"fe142ce5-32dc-4955-b186-672ced662f13\",\"user_id\":\"d253bfba-6368-44dc-85f7-0d6da9e45968\"},{\"name\":\"Goofy Darwin\",\"description\":\"Conversation Catalyst Engine.\",\"data\":{\"nodes\":[{\"width\":384,\"height\":626,\"id\":\"OpenAI-3ZVDh\",\"type\":\"genericNode\",\"position\":{\"x\":-4.0041891741949485,\"y\":-114.02615182719649},\"data\":{\"type\":\"OpenAI\",\"node\":{\"template\":{\"callbacks\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"password\":false,\"name\":\"callbacks\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"langchain_core.callbacks.base.BaseCallbackHandler\",\"list\":true},\"allowed_special\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"value\":[],\"password\":false,\"name\":\"allowed_special\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"str\",\"list\":true},\"async_client\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"password\":false,\"name\":\"async_client\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"Any\",\"list\":false},\"batch_size\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"value\":20,\"password\":false,\"name\":\"batch_size\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"int\",\"list\":false},\"best_of\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"value\":1,\"password\":false,\"name\":\"best_of\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"int\",\"list\":false},\"cache\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"password\":false,\"name\":\"cache\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"bool\",\"list\":false},\"client\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"password\":false,\"name\":\"client\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"Any\",\"list\":false},\"default_headers\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"password\":false,\"name\":\"default_headers\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"dict\",\"list\":false},\"default_query\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"password\":false,\"name\":\"default_query\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"dict\",\"list\":false},\"disallowed_special\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"value\":\"all\",\"password\":false,\"name\":\"disallowed_special\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"str\",\"list\":false},\"frequency_penalty\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"value\":0,\"password\":false,\"name\":\"frequency_penalty\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"float\",\"list\":false},\"http_client\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"password\":false,\"name\":\"http_client\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"Any\",\"list\":false},\"logit_bias\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"password\":false,\"name\":\"logit_bias\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"dict\",\"list\":false},\"max_retries\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"value\":2,\"password\":false,\"name\":\"max_retries\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"int\",\"list\":false},\"max_tokens\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"value\":256,\"password\":true,\"name\":\"max_tokens\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"int\",\"list\":false},\"metadata\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"password\":false,\"name\":\"metadata\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"dict\",\"list\":false},\"model_kwargs\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"password\":false,\"name\":\"model_kwargs\",\"advanced\":true,\"dynamic\":false,\"info\":\"\",\"type\":\"dict\",\"list\":false},\"model_name\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"value\":\"text-davinci-003\",\"password\":false,\"options\":[\"text-davinci-003\",\"text-davinci-002\",\"text-curie-001\",\"text-babbage-001\",\"text-ada-001\"],\"name\":\"model_name\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"str\",\"list\":true},\"n\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"value\":1,\"password\":false,\"name\":\"n\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"int\",\"list\":false},\"openai_api_base\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"password\":false,\"name\":\"openai_api_base\",\"display_name\":\"OpenAI API Base\",\"advanced\":false,\"dynamic\":false,\"info\":\"\\nThe base URL of the OpenAI API. Defaults to https://api.openai.com/v1.\\n\\nYou can change this to use other APIs like JinaChat, LocalAI and Prem.\\n\",\"type\":\"str\",\"list\":false},\"openai_api_key\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"value\":\"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\",\"password\":true,\"name\":\"openai_api_key\",\"display_name\":\"OpenAI API Key\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"str\",\"list\":false},\"openai_organization\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"password\":false,\"name\":\"openai_organization\",\"display_name\":\"OpenAI Organization\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"str\",\"list\":false},\"openai_proxy\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"password\":false,\"name\":\"openai_proxy\",\"display_name\":\"OpenAI Proxy\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"str\",\"list\":false},\"presence_penalty\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"value\":0,\"password\":false,\"name\":\"presence_penalty\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"float\",\"list\":false},\"request_timeout\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"password\":false,\"name\":\"request_timeout\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"float\",\"list\":false},\"streaming\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"value\":false,\"password\":false,\"name\":\"streaming\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"bool\",\"list\":false},\"tags\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"password\":false,\"name\":\"tags\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"str\",\"list\":true},\"temperature\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"value\":0.7,\"password\":false,\"name\":\"temperature\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"float\",\"list\":false},\"tiktoken_model_name\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"password\":false,\"name\":\"tiktoken_model_name\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"str\",\"list\":false},\"top_p\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"value\":1,\"password\":false,\"name\":\"top_p\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"float\",\"list\":false},\"verbose\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"password\":false,\"name\":\"verbose\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"bool\",\"list\":false},\"_type\":\"OpenAI\"},\"description\":\"OpenAI large language models.\",\"base_classes\":[\"OpenAI\",\"BaseLLM\",\"BaseOpenAI\",\"BaseLanguageModel\"],\"display_name\":\"OpenAI\",\"custom_fields\":{},\"output_types\":[],\"documentation\":\"https://python.langchain.com/docs/modules/model_io/models/llms/integrations/openai\",\"beta\":false,\"error\":null},\"id\":\"OpenAI-3ZVDh\"},\"selected\":true,\"positionAbsolute\":{\"x\":-4.0041891741949485,\"y\":-114.02615182719649},\"dragging\":false},{\"width\":384,\"height\":338,\"id\":\"LLMChain-RFYXY\",\"type\":\"genericNode\",\"position\":{\"x\":586.672100458868,\"y\":10.967049167706678},\"data\":{\"type\":\"LLMChain\",\"node\":{\"template\":{\"code\":{\"dynamic\":true,\"required\":true,\"placeholder\":\"\",\"show\":false,\"multiline\":true,\"value\":\"from typing import Callable, Optional, Union\\n\\nfrom langchain.chains import LLMChain\\n\\nfrom langflow import CustomComponent\\nfrom langflow.field_typing import (\\n BaseLanguageModel,\\n BaseMemory,\\n BasePromptTemplate,\\n Chain,\\n)\\n\\n\\nclass LLMChainComponent(CustomComponent):\\n display_name = \\\"LLMChain\\\"\\n description = \\\"Chain to run queries against LLMs\\\"\\n\\n def build_config(self):\\n return {\\n \\\"prompt\\\": {\\\"display_name\\\": \\\"Prompt\\\"},\\n \\\"llm\\\": {\\\"display_name\\\": \\\"LLM\\\"},\\n \\\"memory\\\": {\\\"display_name\\\": \\\"Memory\\\"},\\n \\\"code\\\": {\\\"show\\\": False},\\n }\\n\\n def build(\\n self,\\n prompt: BasePromptTemplate,\\n llm: BaseLanguageModel,\\n memory: Optional[BaseMemory] = None,\\n ) -> Union[Chain, Callable]:\\n return LLMChain(prompt=prompt, llm=llm, memory=memory)\\n\",\"password\":false,\"name\":\"code\",\"advanced\":false,\"type\":\"code\",\"list\":false},\"_type\":\"CustomComponent\",\"llm\":{\"required\":true,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"password\":false,\"name\":\"llm\",\"display_name\":\"LLM\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"BaseLanguageModel\",\"list\":false},\"memory\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"password\":false,\"name\":\"memory\",\"display_name\":\"Memory\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"BaseMemory\",\"list\":false},\"prompt\":{\"required\":true,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"password\":false,\"name\":\"prompt\",\"display_name\":\"Prompt\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"BasePromptTemplate\",\"list\":false}},\"description\":\"Chain to run queries against LLMs\",\"base_classes\":[\"Chain\",\"Callable\"],\"display_name\":\"LLMChain\",\"custom_fields\":{\"llm\":null,\"memory\":null,\"prompt\":null},\"output_types\":[\"LLMChain\"],\"documentation\":\"\",\"beta\":true,\"error\":null},\"id\":\"LLMChain-RFYXY\"},\"positionAbsolute\":{\"x\":586.672100458868,\"y\":10.967049167706678}},{\"width\":384,\"height\":242,\"id\":\"ChatPromptTemplate-ce1sg\",\"type\":\"genericNode\",\"position\":{\"x\":395.598984452791,\"y\":612.188491773035},\"data\":{\"type\":\"ChatPromptTemplate\",\"node\":{\"template\":{\"messages\":{\"required\":true,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"password\":false,\"name\":\"messages\",\"advanced\":false,\"dynamic\":true,\"info\":\"\",\"type\":\"BaseMessagePromptTemplate\",\"list\":true},\"output_parser\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"password\":false,\"name\":\"output_parser\",\"advanced\":false,\"dynamic\":true,\"info\":\"\",\"type\":\"BaseOutputParser\",\"list\":false},\"input_types\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"password\":false,\"name\":\"input_types\",\"advanced\":false,\"dynamic\":true,\"info\":\"\",\"type\":\"dict\",\"list\":false},\"input_variables\":{\"required\":true,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"password\":false,\"name\":\"input_variables\",\"advanced\":false,\"dynamic\":true,\"info\":\"\",\"type\":\"str\",\"list\":true},\"partial_variables\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"password\":false,\"name\":\"partial_variables\",\"advanced\":false,\"dynamic\":true,\"info\":\"\",\"type\":\"dict\",\"list\":false},\"validate_template\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"value\":false,\"password\":false,\"name\":\"validate_template\",\"advanced\":false,\"dynamic\":true,\"info\":\"\",\"type\":\"bool\",\"list\":false},\"_type\":\"ChatPromptTemplate\"},\"description\":\"A prompt template for chat models.\",\"base_classes\":[\"ChatPromptTemplate\",\"BaseChatPromptTemplate\",\"BasePromptTemplate\"],\"display_name\":\"ChatPromptTemplate\",\"custom_fields\":{},\"output_types\":[],\"documentation\":\"https://python.langchain.com/docs/modules/model_io/models/chat/how_to/prompts\",\"beta\":false,\"error\":null},\"id\":\"ChatPromptTemplate-ce1sg\"},\"selected\":false,\"positionAbsolute\":{\"x\":395.598984452791,\"y\":612.188491773035},\"dragging\":false}],\"edges\":[{\"source\":\"OpenAI-3ZVDh\",\"sourceHandle\":\"{œbaseClassesœ:[œOpenAIœ,œBaseLLMœ,œBaseOpenAIœ,œBaseLanguageModelœ],œdataTypeœ:œOpenAIœ,œidœ:œOpenAI-3ZVDhœ}\",\"target\":\"LLMChain-RFYXY\",\"targetHandle\":\"{œfieldNameœ:œllmœ,œidœ:œLLMChain-RFYXYœ,œinputTypesœ:null,œtypeœ:œBaseLanguageModelœ}\",\"data\":{\"targetHandle\":{\"fieldName\":\"llm\",\"id\":\"LLMChain-RFYXY\",\"inputTypes\":null,\"type\":\"BaseLanguageModel\"},\"sourceHandle\":{\"baseClasses\":[\"OpenAI\",\"BaseLLM\",\"BaseOpenAI\",\"BaseLanguageModel\"],\"dataType\":\"OpenAI\",\"id\":\"OpenAI-3ZVDh\"}},\"style\":{\"stroke\":\"#555\"},\"className\":\"stroke-foreground stroke-connection\",\"animated\":false,\"id\":\"reactflow__edge-OpenAI-3ZVDh{œbaseClassesœ:[œOpenAIœ,œBaseLLMœ,œBaseOpenAIœ,œBaseLanguageModelœ],œdataTypeœ:œOpenAIœ,œidœ:œOpenAI-3ZVDhœ}-LLMChain-RFYXY{œfieldNameœ:œllmœ,œidœ:œLLMChain-RFYXYœ,œinputTypesœ:null,œtypeœ:œBaseLanguageModelœ}\"},{\"source\":\"ChatPromptTemplate-ce1sg\",\"sourceHandle\":\"{œbaseClassesœ:[œChatPromptTemplateœ,œBaseChatPromptTemplateœ,œBasePromptTemplateœ],œdataTypeœ:œChatPromptTemplateœ,œidœ:œChatPromptTemplate-ce1sgœ}\",\"target\":\"LLMChain-RFYXY\",\"targetHandle\":\"{œfieldNameœ:œpromptœ,œidœ:œLLMChain-RFYXYœ,œinputTypesœ:null,œtypeœ:œBasePromptTemplateœ}\",\"data\":{\"targetHandle\":{\"fieldName\":\"prompt\",\"id\":\"LLMChain-RFYXY\",\"inputTypes\":null,\"type\":\"BasePromptTemplate\"},\"sourceHandle\":{\"baseClasses\":[\"ChatPromptTemplate\",\"BaseChatPromptTemplate\",\"BasePromptTemplate\"],\"dataType\":\"ChatPromptTemplate\",\"id\":\"ChatPromptTemplate-ce1sg\"}},\"style\":{\"stroke\":\"#555\"},\"className\":\"stroke-foreground stroke-connection\",\"animated\":false,\"id\":\"reactflow__edge-ChatPromptTemplate-ce1sg{œbaseClassesœ:[œChatPromptTemplateœ,œBaseChatPromptTemplateœ,œBasePromptTemplateœ],œdataTypeœ:œChatPromptTemplateœ,œidœ:œChatPromptTemplate-ce1sgœ}-LLMChain-RFYXY{œfieldNameœ:œpromptœ,œidœ:œLLMChain-RFYXYœ,œinputTypesœ:null,œtypeœ:œBasePromptTemplateœ}\"}],\"viewport\":{\"x\":8.832868402772647,\"y\":189.85443326477025,\"zoom\":0.6070974421975235}},\"is_component\":false,\"updated_at\":\"2023-12-04T22:50:19.584160\",\"folder\":null,\"id\":\"103766f0-1f50-427a-9ba7-2ab73343c524\",\"user_id\":\"d253bfba-6368-44dc-85f7-0d6da9e45968\"},{\"name\":\"Perky Easley\",\"description\":\"Your Toolkit for Text Generation.\",\"data\":{\"nodes\":[{\"width\":384,\"height\":626,\"id\":\"ChatOpenAI-VPh47\",\"type\":\"genericNode\",\"position\":{\"x\":-328.5742193020408,\"y\":-420.1025929438987},\"data\":{\"type\":\"ChatOpenAI\",\"node\":{\"template\":{\"callbacks\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"password\":false,\"name\":\"callbacks\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"langchain_core.callbacks.base.BaseCallbackHandler\",\"list\":true},\"async_client\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"password\":false,\"name\":\"async_client\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"Any\",\"list\":false},\"cache\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"password\":false,\"name\":\"cache\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"bool\",\"list\":false},\"client\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"password\":false,\"name\":\"client\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"Any\",\"list\":false},\"default_headers\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"password\":false,\"name\":\"default_headers\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"dict\",\"list\":false},\"default_query\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"password\":false,\"name\":\"default_query\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"dict\",\"list\":false},\"http_client\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"password\":false,\"name\":\"http_client\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"Any\",\"list\":false},\"max_retries\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"value\":2,\"password\":false,\"name\":\"max_retries\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"int\",\"list\":false},\"max_tokens\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"password\":true,\"name\":\"max_tokens\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"int\",\"list\":false},\"metadata\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"password\":false,\"name\":\"metadata\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"dict\",\"list\":false},\"model_kwargs\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"password\":false,\"name\":\"model_kwargs\",\"advanced\":true,\"dynamic\":false,\"info\":\"\",\"type\":\"dict\",\"list\":false},\"model_name\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"value\":\"gpt-3.5-turbo\",\"password\":false,\"options\":[\"gpt-4-1106-preview\",\"gpt-4\",\"gpt-4-32k\",\"gpt-3.5-turbo\",\"gpt-3.5-turbo-16k\"],\"name\":\"model_name\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"str\",\"list\":true},\"n\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"value\":1,\"password\":false,\"name\":\"n\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"int\",\"list\":false},\"openai_api_base\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"password\":false,\"name\":\"openai_api_base\",\"display_name\":\"OpenAI API Base\",\"advanced\":false,\"dynamic\":false,\"info\":\"\\nThe base URL of the OpenAI API. Defaults to https://api.openai.com/v1.\\n\\nYou can change this to use other APIs like JinaChat, LocalAI and Prem.\\n\",\"type\":\"str\",\"list\":false},\"openai_api_key\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"value\":\"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\",\"password\":true,\"name\":\"openai_api_key\",\"display_name\":\"OpenAI API Key\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"str\",\"list\":false},\"openai_organization\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"password\":false,\"name\":\"openai_organization\",\"display_name\":\"OpenAI Organization\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"str\",\"list\":false},\"openai_proxy\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"password\":false,\"name\":\"openai_proxy\",\"display_name\":\"OpenAI Proxy\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"str\",\"list\":false},\"request_timeout\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"password\":false,\"name\":\"request_timeout\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"float\",\"list\":false},\"streaming\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"value\":false,\"password\":false,\"name\":\"streaming\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"bool\",\"list\":false},\"tags\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"password\":false,\"name\":\"tags\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"str\",\"list\":true},\"temperature\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"value\":0.7,\"password\":false,\"name\":\"temperature\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"float\",\"list\":false},\"tiktoken_model_name\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"password\":false,\"name\":\"tiktoken_model_name\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"str\",\"list\":false},\"verbose\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"value\":false,\"password\":false,\"name\":\"verbose\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"bool\",\"list\":false},\"_type\":\"ChatOpenAI\"},\"description\":\"`OpenAI` Chat large language models API.\",\"base_classes\":[\"BaseChatModel\",\"ChatOpenAI\",\"BaseLanguageModel\",\"BaseLLM\"],\"display_name\":\"ChatOpenAI\",\"custom_fields\":{},\"output_types\":[],\"documentation\":\"https://python.langchain.com/docs/modules/model_io/models/chat/integrations/openai\",\"beta\":false,\"error\":null},\"id\":\"ChatOpenAI-VPh47\"},\"selected\":false,\"positionAbsolute\":{\"x\":-328.5742193020408,\"y\":-420.1025929438987},\"dragging\":false},{\"width\":384,\"height\":338,\"id\":\"LLMChain-NgFyo\",\"type\":\"genericNode\",\"position\":{\"x\":225.3113389084088,\"y\":-193.3520019494289},\"data\":{\"type\":\"LLMChain\",\"node\":{\"template\":{\"code\":{\"dynamic\":true,\"required\":true,\"placeholder\":\"\",\"show\":false,\"multiline\":true,\"value\":\"from typing import Callable, Optional, Union\\n\\nfrom langchain.chains import LLMChain\\n\\nfrom langflow import CustomComponent\\nfrom langflow.field_typing import (\\n BaseLanguageModel,\\n BaseMemory,\\n BasePromptTemplate,\\n Chain,\\n)\\n\\n\\nclass LLMChainComponent(CustomComponent):\\n display_name = \\\"LLMChain\\\"\\n description = \\\"Chain to run queries against LLMs\\\"\\n\\n def build_config(self):\\n return {\\n \\\"prompt\\\": {\\\"display_name\\\": \\\"Prompt\\\"},\\n \\\"llm\\\": {\\\"display_name\\\": \\\"LLM\\\"},\\n \\\"memory\\\": {\\\"display_name\\\": \\\"Memory\\\"},\\n \\\"code\\\": {\\\"show\\\": False},\\n }\\n\\n def build(\\n self,\\n prompt: BasePromptTemplate,\\n llm: BaseLanguageModel,\\n memory: Optional[BaseMemory] = None,\\n ) -> Union[Chain, Callable]:\\n return LLMChain(prompt=prompt, llm=llm, memory=memory)\\n\",\"password\":false,\"name\":\"code\",\"advanced\":false,\"type\":\"code\",\"list\":false},\"_type\":\"CustomComponent\",\"llm\":{\"required\":true,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"password\":false,\"name\":\"llm\",\"display_name\":\"LLM\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"BaseLanguageModel\",\"list\":false},\"memory\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"password\":false,\"name\":\"memory\",\"display_name\":\"Memory\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"BaseMemory\",\"list\":false},\"prompt\":{\"required\":true,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"password\":false,\"name\":\"prompt\",\"display_name\":\"Prompt\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"BasePromptTemplate\",\"list\":false}},\"description\":\"Chain to run queries against LLMs\",\"base_classes\":[\"Chain\",\"Callable\"],\"display_name\":\"LLMChain\",\"custom_fields\":{\"llm\":null,\"memory\":null,\"prompt\":null},\"output_types\":[\"LLMChain\"],\"documentation\":\"\",\"beta\":true,\"error\":null},\"id\":\"LLMChain-NgFyo\"},\"selected\":false,\"positionAbsolute\":{\"x\":225.3113389084088,\"y\":-193.3520019494289},\"dragging\":false},{\"width\":384,\"height\":374,\"id\":\"PromptTemplate-oAFjh\",\"type\":\"genericNode\",\"position\":{\"x\":-342.62522294052764,\"y\":391.20629510686103},\"data\":{\"type\":\"PromptTemplate\",\"node\":{\"template\":{\"output_parser\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"password\":false,\"name\":\"output_parser\",\"advanced\":false,\"dynamic\":true,\"info\":\"\",\"type\":\"BaseOutputParser\",\"list\":false},\"input_types\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"password\":false,\"name\":\"input_types\",\"advanced\":false,\"dynamic\":true,\"info\":\"\",\"type\":\"dict\",\"list\":false},\"input_variables\":{\"required\":true,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"password\":false,\"name\":\"input_variables\",\"advanced\":false,\"dynamic\":true,\"info\":\"\",\"type\":\"str\",\"list\":true,\"value\":[\"links\"]},\"partial_variables\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"password\":false,\"name\":\"partial_variables\",\"advanced\":false,\"dynamic\":true,\"info\":\"\",\"type\":\"dict\",\"list\":false},\"template\":{\"required\":true,\"placeholder\":\"\",\"show\":true,\"multiline\":true,\"password\":false,\"name\":\"template\",\"advanced\":false,\"dynamic\":true,\"info\":\"\",\"type\":\"prompt\",\"list\":false,\"value\":\"Answer everything with links\\n{links}\"},\"template_format\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"value\":\"f-string\",\"password\":false,\"name\":\"template_format\",\"advanced\":false,\"dynamic\":true,\"info\":\"\",\"type\":\"str\",\"list\":false},\"validate_template\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"value\":false,\"password\":false,\"name\":\"validate_template\",\"advanced\":false,\"dynamic\":true,\"info\":\"\",\"type\":\"bool\",\"list\":false},\"_type\":\"PromptTemplate\",\"links\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":true,\"value\":\"\",\"password\":false,\"name\":\"links\",\"display_name\":\"links\",\"advanced\":false,\"input_types\":[\"Document\",\"BaseOutputParser\"],\"dynamic\":false,\"info\":\"\",\"type\":\"str\",\"list\":false}},\"description\":\"A prompt template for a language model.\",\"base_classes\":[\"BasePromptTemplate\",\"StringPromptTemplate\",\"PromptTemplate\"],\"name\":\"\",\"display_name\":\"PromptTemplate\",\"documentation\":\"https://python.langchain.com/docs/modules/model_io/prompts/prompt_templates/\",\"custom_fields\":{\"\":[\"links\"]},\"output_types\":[],\"full_path\":null,\"field_formatters\":{},\"beta\":false,\"error\":null},\"id\":\"PromptTemplate-oAFjh\"},\"selected\":true,\"dragging\":false,\"positionAbsolute\":{\"x\":-342.62522294052764,\"y\":391.20629510686103}}],\"edges\":[{\"source\":\"ChatOpenAI-VPh47\",\"sourceHandle\":\"{œbaseClassesœ:[œBaseChatModelœ,œChatOpenAIœ,œBaseLanguageModelœ,œBaseLLMœ],œdataTypeœ:œChatOpenAIœ,œidœ:œChatOpenAI-VPh47œ}\",\"target\":\"LLMChain-NgFyo\",\"targetHandle\":\"{œfieldNameœ:œllmœ,œidœ:œLLMChain-NgFyoœ,œinputTypesœ:null,œtypeœ:œBaseLanguageModelœ}\",\"data\":{\"targetHandle\":{\"fieldName\":\"llm\",\"id\":\"LLMChain-NgFyo\",\"inputTypes\":null,\"type\":\"BaseLanguageModel\"},\"sourceHandle\":{\"baseClasses\":[\"BaseChatModel\",\"ChatOpenAI\",\"BaseLanguageModel\",\"BaseLLM\"],\"dataType\":\"ChatOpenAI\",\"id\":\"ChatOpenAI-VPh47\"}},\"style\":{\"stroke\":\"#555\"},\"className\":\"stroke-foreground stroke-connection\",\"animated\":false,\"id\":\"reactflow__edge-ChatOpenAI-VPh47{œbaseClassesœ:[œBaseChatModelœ,œChatOpenAIœ,œBaseLanguageModelœ,œBaseLLMœ],œdataTypeœ:œChatOpenAIœ,œidœ:œChatOpenAI-VPh47œ}-LLMChain-NgFyo{œfieldNameœ:œllmœ,œidœ:œLLMChain-NgFyoœ,œinputTypesœ:null,œtypeœ:œBaseLanguageModelœ}\"},{\"source\":\"PromptTemplate-oAFjh\",\"sourceHandle\":\"{œbaseClassesœ:[œBasePromptTemplateœ,œStringPromptTemplateœ,œPromptTemplateœ],œdataTypeœ:œPromptTemplateœ,œidœ:œPromptTemplate-oAFjhœ}\",\"target\":\"LLMChain-NgFyo\",\"targetHandle\":\"{œfieldNameœ:œpromptœ,œidœ:œLLMChain-NgFyoœ,œinputTypesœ:null,œtypeœ:œBasePromptTemplateœ}\",\"data\":{\"targetHandle\":{\"fieldName\":\"prompt\",\"id\":\"LLMChain-NgFyo\",\"inputTypes\":null,\"type\":\"BasePromptTemplate\"},\"sourceHandle\":{\"baseClasses\":[\"BasePromptTemplate\",\"StringPromptTemplate\",\"PromptTemplate\"],\"dataType\":\"PromptTemplate\",\"id\":\"PromptTemplate-oAFjh\"}},\"style\":{\"stroke\":\"#555\"},\"className\":\"stroke-foreground stroke-connection\",\"animated\":false,\"id\":\"reactflow__edge-PromptTemplate-oAFjh{œbaseClassesœ:[œBasePromptTemplateœ,œStringPromptTemplateœ,œPromptTemplateœ],œdataTypeœ:œPromptTemplateœ,œidœ:œPromptTemplate-oAFjhœ}-LLMChain-NgFyo{œfieldNameœ:œpromptœ,œidœ:œLLMChain-NgFyoœ,œinputTypesœ:null,œtypeœ:œBasePromptTemplateœ}\"}],\"viewport\":{\"x\":338.6546182690814,\"y\":53.026340800283265,\"zoom\":0.7169776240079143}},\"is_component\":false,\"updated_at\":\"2023-12-04T22:53:25.148460\",\"folder\":null,\"id\":\"a794fc48-5e9b-42a3-924f-7fe610500035\",\"user_id\":\"d253bfba-6368-44dc-85f7-0d6da9e45968\"},{\"name\":\"(D) Basic Chat (1) (4)\",\"description\":\"Simplest possible chat model\",\"data\":{\"nodes\":[{\"width\":384,\"height\":626,\"id\":\"ChatOpenAI-fBcfh\",\"type\":\"genericNode\",\"position\":{\"x\":228.87326389541306,\"y\":465.8628482073749},\"data\":{\"type\":\"ChatOpenAI\",\"node\":{\"template\":{\"callbacks\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"password\":false,\"name\":\"callbacks\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"langchain.callbacks.base.BaseCallbackHandler\",\"list\":true},\"cache\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"password\":false,\"name\":\"cache\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"bool\",\"list\":false},\"client\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"password\":false,\"name\":\"client\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"Any\",\"list\":false},\"max_retries\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"value\":6,\"password\":false,\"name\":\"max_retries\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"int\",\"list\":false},\"max_tokens\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"password\":true,\"name\":\"max_tokens\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"int\",\"list\":false},\"metadata\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"password\":false,\"name\":\"metadata\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"dict\",\"list\":false},\"model_kwargs\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"password\":false,\"name\":\"model_kwargs\",\"advanced\":true,\"dynamic\":false,\"info\":\"\",\"type\":\"dict\",\"list\":false},\"model_name\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"value\":\"gpt-3.5-turbo\",\"password\":false,\"options\":[\"gpt-3.5-turbo-0613\",\"gpt-3.5-turbo\",\"gpt-3.5-turbo-16k-0613\",\"gpt-3.5-turbo-16k\",\"gpt-4-0613\",\"gpt-4-32k-0613\",\"gpt-4\",\"gpt-4-32k\"],\"name\":\"model_name\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"str\",\"list\":true},\"n\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"value\":1,\"password\":false,\"name\":\"n\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"int\",\"list\":false},\"openai_api_base\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"password\":false,\"name\":\"openai_api_base\",\"display_name\":\"OpenAI API Base\",\"advanced\":false,\"dynamic\":false,\"info\":\"\\nThe base URL of the OpenAI API. Defaults to https://api.openai.com/v1.\\n\\nYou can change this to use other APIs like JinaChat, LocalAI and Prem.\\n\",\"type\":\"str\",\"list\":false},\"openai_api_key\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"value\":\"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\",\"password\":true,\"name\":\"openai_api_key\",\"display_name\":\"OpenAI API Key\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"str\",\"list\":false},\"openai_organization\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"password\":false,\"name\":\"openai_organization\",\"display_name\":\"OpenAI Organization\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"str\",\"list\":false},\"openai_proxy\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"password\":false,\"name\":\"openai_proxy\",\"display_name\":\"OpenAI Proxy\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"str\",\"list\":false},\"request_timeout\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"password\":false,\"name\":\"request_timeout\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"float\",\"list\":false,\"value\":60},\"streaming\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"value\":false,\"password\":false,\"name\":\"streaming\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"bool\",\"list\":false},\"tags\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"password\":false,\"name\":\"tags\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"str\",\"list\":true},\"temperature\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"value\":0.7,\"password\":false,\"name\":\"temperature\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"float\",\"list\":false},\"tiktoken_model_name\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"password\":false,\"name\":\"tiktoken_model_name\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"str\",\"list\":false},\"verbose\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"value\":false,\"password\":false,\"name\":\"verbose\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"bool\",\"list\":false},\"_type\":\"ChatOpenAI\"},\"description\":\"`OpenAI` Chat large language models API.\",\"base_classes\":[\"BaseChatModel\",\"BaseLanguageModel\",\"ChatOpenAI\",\"BaseLLM\"],\"display_name\":\"ChatOpenAI\",\"documentation\":\"https://python.langchain.com/docs/modules/model_io/models/chat/integrations/openai\"},\"id\":\"ChatOpenAI-fBcfh\",\"value\":null},\"selected\":false,\"dragging\":false,\"positionAbsolute\":{\"x\":228.87326389541306,\"y\":465.8628482073749}},{\"width\":384,\"height\":310,\"id\":\"ConversationChain-bVNex\",\"type\":\"genericNode\",\"position\":{\"x\":806,\"y\":554},\"data\":{\"type\":\"ConversationChain\",\"node\":{\"template\":{\"callbacks\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"password\":false,\"name\":\"callbacks\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"langchain.callbacks.base.BaseCallbackHandler\",\"list\":true},\"llm\":{\"required\":true,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"password\":false,\"name\":\"llm\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"BaseLanguageModel\",\"list\":false},\"memory\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"password\":false,\"name\":\"memory\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"BaseMemory\",\"list\":false},\"output_parser\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"value\":{\"_type\":\"default\"},\"password\":false,\"name\":\"output_parser\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"BaseLLMOutputParser\",\"list\":false},\"prompt\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"value\":{\"input_variables\":[\"history\",\"input\"],\"output_parser\":null,\"partial_variables\":{},\"template\":\"The following is a friendly conversation between a human and an AI. The AI is talkative and provides lots of specific details from its context. If the AI does not know the answer to a question, it truthfully says it does not know.\\n\\nCurrent conversation:\\n{history}\\nHuman: {input}\\nAI:\",\"template_format\":\"f-string\",\"validate_template\":true,\"_type\":\"prompt\"},\"password\":false,\"name\":\"prompt\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"BasePromptTemplate\",\"list\":false},\"input_key\":{\"required\":true,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"value\":\"input\",\"password\":false,\"name\":\"input_key\",\"advanced\":true,\"dynamic\":false,\"info\":\"\",\"type\":\"str\",\"list\":false},\"llm_kwargs\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"password\":false,\"name\":\"llm_kwargs\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"dict\",\"list\":false},\"metadata\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"password\":false,\"name\":\"metadata\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"dict\",\"list\":false},\"output_key\":{\"required\":true,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"value\":\"response\",\"password\":false,\"name\":\"output_key\",\"advanced\":true,\"dynamic\":false,\"info\":\"\",\"type\":\"str\",\"list\":false},\"return_final_only\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"value\":true,\"password\":false,\"name\":\"return_final_only\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"bool\",\"list\":false},\"tags\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"password\":false,\"name\":\"tags\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"str\",\"list\":true},\"verbose\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"password\":false,\"name\":\"verbose\",\"advanced\":true,\"dynamic\":false,\"info\":\"\",\"type\":\"bool\",\"list\":false},\"_type\":\"ConversationChain\"},\"description\":\"Chain to have a conversation and load context from memory.\",\"base_classes\":[\"ConversationChain\",\"Chain\",\"LLMChain\",\"function\"],\"display_name\":\"ConversationChain\",\"documentation\":\"\"},\"id\":\"ConversationChain-bVNex\",\"value\":null},\"selected\":false,\"dragging\":false,\"positionAbsolute\":{\"x\":806,\"y\":554}}],\"edges\":[{\"source\":\"ChatOpenAI-fBcfh\",\"sourceHandle\":\"{œbaseClassesœ:[œBaseChatModelœ,œBaseLanguageModelœ,œChatOpenAIœ,œBaseLLMœ],œdataTypeœ:œChatOpenAIœ,œidœ:œChatOpenAI-fBcfhœ}\",\"target\":\"ConversationChain-bVNex\",\"targetHandle\":\"{œfieldNameœ:œllmœ,œidœ:œConversationChain-bVNexœ,œinputTypesœ:null,œtypeœ:œBaseLanguageModelœ}\",\"className\":\"stroke-gray-900 stroke-connection\",\"id\":\"reactflow__edge-ChatOpenAI-fBcfh{œbaseClassesœ:[œBaseChatModelœ,œBaseLanguageModelœ,œChatOpenAIœ,œBaseLLMœ],œdataTypeœ:œChatOpenAIœ,œidœ:œChatOpenAI-fBcfhœ}-ConversationChain-bVNex{œfieldNameœ:œllmœ,œidœ:œConversationChain-bVNexœ,œinputTypesœ:null,œtypeœ:œBaseLanguageModelœ}\",\"data\":{\"sourceHandle\":{\"baseClasses\":[\"BaseChatModel\",\"BaseLanguageModel\",\"ChatOpenAI\",\"BaseLLM\"],\"dataType\":\"ChatOpenAI\",\"id\":\"ChatOpenAI-fBcfh\"},\"targetHandle\":{\"fieldName\":\"llm\",\"id\":\"ConversationChain-bVNex\",\"inputTypes\":null,\"type\":\"BaseLanguageModel\"}},\"style\":{\"stroke\":\"#555\"},\"animated\":false}],\"viewport\":{\"x\":-118.21416568593895,\"y\":-240.64815770363373,\"zoom\":0.7642485855675408}},\"is_component\":false,\"updated_at\":\"2023-12-04T22:57:55.879806\",\"folder\":null,\"id\":\"bddebeea-b80a-4b28-8895-c4425687dcce\",\"user_id\":\"d253bfba-6368-44dc-85f7-0d6da9e45968\"},{\"name\":\"Directory Loader\",\"description\":\"Generic File Loader\",\"data\":{\"edges\":[],\"nodes\":[{\"data\":{\"type\":\"CustomComponent\",\"node\":{\"template\":{\"code\":{\"dynamic\":true,\"required\":true,\"placeholder\":\"\",\"show\":true,\"multiline\":true,\"value\":\"import os\\n\\nfrom langchain.schema import Document\\nfrom langflow import CustomComponent\\nimport glob\\n\\nclass DirectoryLoaderComponent(CustomComponent):\\n display_name: str = \\\"Directory Loader\\\"\\n description: str = \\\"Generic File Loader\\\"\\n beta = True\\n loaders_info = [\\n {\\n \\\"loader\\\": \\\"AirbyteJSONLoader\\\",\\n \\\"name\\\": \\\"Airbyte JSON (.jsonl)\\\",\\n \\\"import\\\": \\\"langchain.document_loaders.AirbyteJSONLoader\\\",\\n \\\"defaultFor\\\": [\\\"jsonl\\\"],\\n \\\"allowdTypes\\\": [\\\"jsonl\\\"],\\n },\\n {\\n \\\"loader\\\": \\\"JSONLoader\\\",\\n \\\"name\\\": \\\"JSON (.json)\\\",\\n \\\"import\\\": \\\"langchain.document_loaders.JSONLoader\\\",\\n \\\"defaultFor\\\": [\\\"json\\\"],\\n \\\"allowdTypes\\\": [\\\"json\\\"],\\n \\\"kwargs\\\": {\\\"jq_schema\\\": \\\".\\\", \\\"text_content\\\": False}\\n },\\n {\\n \\\"loader\\\": \\\"BSHTMLLoader\\\",\\n \\\"name\\\": \\\"BeautifulSoup4 HTML (.html, .htm)\\\",\\n \\\"import\\\": \\\"langchain.document_loaders.BSHTMLLoader\\\",\\n \\\"allowdTypes\\\": [\\\"html\\\", \\\"htm\\\"],\\n },\\n {\\n \\\"loader\\\": \\\"CSVLoader\\\",\\n \\\"name\\\": \\\"CSV (.csv)\\\",\\n \\\"import\\\": \\\"langchain.document_loaders.CSVLoader\\\",\\n \\\"defaultFor\\\": [\\\"csv\\\"],\\n \\\"allowdTypes\\\": [\\\"csv\\\"],\\n },\\n {\\n \\\"loader\\\": \\\"CoNLLULoader\\\",\\n \\\"name\\\": \\\"CoNLL-U (.conllu)\\\",\\n \\\"import\\\": \\\"langchain.document_loaders.CoNLLULoader\\\",\\n \\\"defaultFor\\\": [\\\"conllu\\\"],\\n \\\"allowdTypes\\\": [\\\"conllu\\\"],\\n },\\n {\\n \\\"loader\\\": \\\"EverNoteLoader\\\",\\n \\\"name\\\": \\\"EverNote (.enex)\\\",\\n \\\"import\\\": \\\"langchain.document_loaders.EverNoteLoader\\\",\\n \\\"defaultFor\\\": [\\\"enex\\\"],\\n \\\"allowdTypes\\\": [\\\"enex\\\"],\\n },\\n {\\n \\\"loader\\\": \\\"FacebookChatLoader\\\",\\n \\\"name\\\": \\\"Facebook Chat (.json)\\\",\\n \\\"import\\\": \\\"langchain.document_loaders.FacebookChatLoader\\\",\\n \\\"allowdTypes\\\": [\\\"json\\\"],\\n },\\n {\\n \\\"loader\\\": \\\"OutlookMessageLoader\\\",\\n \\\"name\\\": \\\"Outlook Message (.msg)\\\",\\n \\\"import\\\": \\\"langchain.document_loaders.OutlookMessageLoader\\\",\\n \\\"defaultFor\\\": [\\\"msg\\\"],\\n \\\"allowdTypes\\\": [\\\"msg\\\"],\\n },\\n {\\n \\\"loader\\\": \\\"PyPDFLoader\\\",\\n \\\"name\\\": \\\"PyPDF (.pdf)\\\",\\n \\\"import\\\": \\\"langchain.document_loaders.PyPDFLoader\\\",\\n \\\"defaultFor\\\": [\\\"pdf\\\"],\\n \\\"allowdTypes\\\": [\\\"pdf\\\"],\\n },\\n {\\n \\\"loader\\\": \\\"STRLoader\\\",\\n \\\"name\\\": \\\"Subtitle (.str)\\\",\\n \\\"import\\\": \\\"langchain.document_loaders.STRLoader\\\",\\n \\\"defaultFor\\\": [\\\"str\\\"],\\n \\\"allowdTypes\\\": [\\\"str\\\"],\\n },\\n {\\n \\\"loader\\\": \\\"TextLoader\\\",\\n \\\"name\\\": \\\"Text (.txt)\\\",\\n \\\"import\\\": \\\"langchain.document_loaders.TextLoader\\\",\\n \\\"defaultFor\\\": [\\\"txt\\\"],\\n \\\"allowdTypes\\\": [\\\"txt\\\"],\\n },\\n {\\n \\\"loader\\\": \\\"UnstructuredEmailLoader\\\",\\n \\\"name\\\": \\\"Unstructured Email (.eml)\\\",\\n \\\"import\\\": \\\"langchain.document_loaders.UnstructuredEmailLoader\\\",\\n \\\"defaultFor\\\": [\\\"eml\\\"],\\n \\\"allowdTypes\\\": [\\\"eml\\\"],\\n },\\n {\\n \\\"loader\\\": \\\"UnstructuredHTMLLoader\\\",\\n \\\"name\\\": \\\"Unstructured HTML (.html, .htm)\\\",\\n \\\"import\\\": \\\"langchain.document_loaders.UnstructuredHTMLLoader\\\",\\n \\\"defaultFor\\\": [\\\"html\\\", \\\"htm\\\"],\\n \\\"allowdTypes\\\": [\\\"html\\\", \\\"htm\\\"],\\n },\\n {\\n \\\"loader\\\": \\\"UnstructuredMarkdownLoader\\\",\\n \\\"name\\\": \\\"Unstructured Markdown (.md)\\\",\\n \\\"import\\\": \\\"langchain.document_loaders.UnstructuredMarkdownLoader\\\",\\n \\\"defaultFor\\\": [\\\"md\\\"],\\n \\\"allowdTypes\\\": [\\\"md\\\"],\\n },\\n {\\n \\\"loader\\\": \\\"UnstructuredPowerPointLoader\\\",\\n \\\"name\\\": \\\"Unstructured PowerPoint (.pptx)\\\",\\n \\\"import\\\": \\\"langchain.document_loaders.UnstructuredPowerPointLoader\\\",\\n \\\"defaultFor\\\": [\\\"pptx\\\"],\\n \\\"allowdTypes\\\": [\\\"pptx\\\"],\\n },\\n {\\n \\\"loader\\\": \\\"UnstructuredWordLoader\\\",\\n \\\"name\\\": \\\"Unstructured Word (.docx)\\\",\\n \\\"import\\\": \\\"langchain.document_loaders.UnstructuredWordLoader\\\",\\n \\\"defaultFor\\\": [\\\"docx\\\"],\\n \\\"allowdTypes\\\": [\\\"docx\\\"],\\n },\\n]\\n\\n\\n def build_config(self):\\n loader_options = [\\\"Automatic\\\"] + [\\n loader_info[\\\"name\\\"] for loader_info in self.loaders_info\\n ]\\n\\n file_types = []\\n suffixes = []\\n\\n for loader_info in self.loaders_info:\\n if \\\"allowedTypes\\\" in loader_info:\\n file_types.extend(loader_info[\\\"allowedTypes\\\"])\\n suffixes.extend([f\\\".{ext}\\\" for ext in loader_info[\\\"allowedTypes\\\"]])\\n\\n return {\\n \\\"directory_path\\\": {\\n \\\"display_name\\\": \\\"Directory Path\\\",\\n \\\"required\\\": True,\\n },\\n \\\"loader\\\": {\\n \\\"display_name\\\": \\\"Loader\\\",\\n \\\"is_list\\\": True,\\n \\\"required\\\": True,\\n \\\"options\\\": loader_options,\\n \\\"value\\\": \\\"Automatic\\\",\\n },\\n }\\n\\n def build(self, directory_path: str, loader: str) -> Document:\\n # Verifique se o diretório existe\\n if not os.path.exists(directory_path):\\n raise ValueError(f\\\"Directory not found: {directory_path}\\\")\\n\\n files = glob.glob(directory_path + \\\"/*.*\\\")\\n\\n\\n loader_info = None\\n if loader == \\\"Automatic\\\":\\n for file in files:\\n file_type = file.split(\\\".\\\")[-1]\\n\\n\\n for info in self.loaders_info:\\n if \\\"defaultFor\\\" in info:\\n if file_type in info[\\\"defaultFor\\\"]:\\n loader_info = info\\n break\\n if loader_info:\\n break\\n\\n if not loader_info:\\n raise ValueError(\\n \\\"No default loader found for any file in the directory\\\"\\n )\\n\\n else:\\n for info in self.loaders_info:\\n if info[\\\"name\\\"] == loader:\\n loader_info = info\\n break\\n\\n if not loader_info:\\n raise ValueError(f\\\"Loader {loader} not found in the loader info list\\\")\\n\\n loader_import = loader_info[\\\"import\\\"]\\n module_name, class_name = loader_import.rsplit(\\\".\\\", 1)\\n\\n try:\\n # Importe o loader dinamicamente\\n loader_module = __import__(module_name, fromlist=[class_name])\\n loader_instance = getattr(loader_module, class_name)\\n except ImportError as e:\\n raise ValueError(\\n f\\\"Loader {loader} could not be imported\\\\nLoader info:\\\\n{loader_info}\\\"\\n ) from e\\n\\n results = []\\n for file in files:\\n file_path = os.path.join(directory_path, file)\\n kwargs = loader_info.get(\\\"kwargs\\\", {})\\n result = loader_instance(file_path=file_path, **kwargs).load()\\n results.append(result)\\n self.status = results\\n return results\",\"password\":false,\"name\":\"code\",\"advanced\":false,\"type\":\"code\",\"list\":false},\"_type\":\"CustomComponent\",\"directory_path\":{\"required\":true,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"password\":false,\"name\":\"directory_path\",\"display_name\":\"Directory Path\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"str\",\"list\":false,\"value\":\"/Users/ogabrielluiz/Projects/langflow2/docs\"},\"loader\":{\"required\":true,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"value\":\"Automatic\",\"password\":false,\"options\":[\"Automatic\",\"Airbyte JSON (.jsonl)\",\"JSON (.json)\",\"BeautifulSoup4 HTML (.html, .htm)\",\"CSV (.csv)\",\"CoNLL-U (.conllu)\",\"EverNote (.enex)\",\"Facebook Chat (.json)\",\"Outlook Message (.msg)\",\"PyPDF (.pdf)\",\"Subtitle (.str)\",\"Text (.txt)\",\"Unstructured Email (.eml)\",\"Unstructured HTML (.html, .htm)\",\"Unstructured Markdown (.md)\",\"Unstructured PowerPoint (.pptx)\",\"Unstructured Word (.docx)\"],\"name\":\"loader\",\"display_name\":\"Loader\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"str\",\"list\":true}},\"description\":\"Generic File Loader\",\"base_classes\":[\"Document\"],\"display_name\":\"Directory Loader\",\"custom_fields\":{\"directory_path\":null,\"loader\":null},\"output_types\":[\"Document\"],\"documentation\":\"\",\"beta\":true,\"error\":null,\"official\":false},\"id\":\"CustomComponent-Ip6tG\"},\"id\":\"CustomComponent-Ip6tG\",\"position\":{\"x\":0,\"y\":0},\"type\":\"genericNode\"}],\"viewport\":{\"x\":1,\"y\":1,\"zoom\":1}},\"is_component\":true,\"updated_at\":\"2023-12-04T22:58:38.570303\",\"folder\":null,\"id\":\"5fe4debc-b6a7-45d4-a694-c02d8aa93b08\",\"user_id\":\"d253bfba-6368-44dc-85f7-0d6da9e45968\"},{\"name\":\"Whisper Transcriber\",\"description\":\"Converts audio to text using OpenAI's Whisper.\",\"data\":{\"edges\":[],\"nodes\":[{\"data\":{\"type\":\"CustomComponent\",\"node\":{\"template\":{\"code\":{\"dynamic\":true,\"required\":true,\"placeholder\":\"\",\"show\":true,\"multiline\":true,\"value\":\"from langflow import CustomComponent\\nfrom typing import Optional, List, Dict, Union\\nfrom langflow.field_typing import (\\n AgentExecutor,\\n BaseChatMemory,\\n BaseLanguageModel,\\n BaseLLM,\\n BaseLoader,\\n BaseMemory,\\n BaseOutputParser,\\n BasePromptTemplate,\\n BaseRetriever,\\n Callable,\\n Chain,\\n ChatPromptTemplate,\\n Data,\\n Document,\\n Embeddings,\\n NestedDict,\\n Object,\\n PromptTemplate,\\n TextSplitter,\\n Tool,\\n VectorStore,\\n)\\n\\nfrom openai import OpenAI\\nclass Component(CustomComponent):\\n display_name: str = \\\"Whisper Transcriber\\\"\\n description: str = \\\"Converts audio to text using OpenAI's Whisper.\\\"\\n\\n def build_config(self):\\n return {\\\"audio\\\":{\\\"field_type\\\":\\\"file\\\",\\\"suffixes\\\":[\\\".mp3\\\", \\\".mp4\\\", \\\".m4a\\\"]},\\\"OpenAIKey\\\":{\\\"field_type\\\":\\\"str\\\",\\\"password\\\":True}}\\n\\n def build(self, audio:str, OpenAIKey:str) -> str:\\n \\n # TODO: if output path, persist & load it instead\\n \\n client = OpenAI(api_key=OpenAIKey)\\n \\n audio_file= open(audio, \\\"rb\\\")\\n transcript = client.audio.transcriptions.create(\\n model=\\\"whisper-1\\\", \\n file=audio_file,\\n response_format=\\\"text\\\"\\n )\\n \\n \\n self.status = transcript\\n return transcript\\n\\n\",\"password\":false,\"name\":\"code\",\"advanced\":false,\"type\":\"code\",\"list\":false},\"_type\":\"CustomComponent\",\"OpenAIKey\":{\"required\":true,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"password\":true,\"name\":\"OpenAIKey\",\"display_name\":\"OpenAIKey\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"str\",\"list\":false,\"value\":\"\"},\"audio\":{\"required\":true,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"suffixes\":[\".mp3\",\".mp4\",\".m4a\"],\"password\":false,\"name\":\"audio\",\"display_name\":\"audio\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"file\",\"list\":false,\"file_path\":\"/Users/rodrigonader/Library/Caches/langflow/19b3e1c9-90bf-405f-898a-e982f47adf76/a3308ce7e9b10088fcd985aabb6d17b012c6b6e81ff8806356574474c9d10229.m4a\",\"value\":\"Audio Recording 2023-11-29 at 12.12.04.m4a\"}},\"description\":\"Converts audio to text using OpenAI's Whisper.\",\"base_classes\":[\"str\"],\"display_name\":\"Whisper Transcriber\",\"custom_fields\":{\"OpenAIKey\":null,\"audio\":null},\"output_types\":[\"str\"],\"documentation\":\"\",\"beta\":true,\"error\":null,\"official\":false},\"id\":\"CustomComponent-GJRrs\"},\"id\":\"CustomComponent-GJRrs\",\"position\":{\"x\":0,\"y\":0},\"type\":\"genericNode\"}],\"viewport\":{\"x\":1,\"y\":1,\"zoom\":1}},\"is_component\":true,\"updated_at\":\"2023-12-04T22:58:39.710502\",\"folder\":null,\"id\":\"bd9e911d-46bd-429f-aa75-dd740430695e\",\"user_id\":\"d253bfba-6368-44dc-85f7-0d6da9e45968\"},{\"name\":\"Youtube Conversation\",\"description\":\"Craft Meaningful Interactions, Generate Value.\",\"data\":{\"nodes\":[{\"width\":384,\"height\":589,\"id\":\"CustomComponent-h0NSI\",\"type\":\"genericNode\",\"position\":{\"x\":714.9531293402755,\"y\":0.4994374160582993},\"data\":{\"type\":\"CustomComponent\",\"node\":{\"template\":{\"code\":{\"dynamic\":true,\"required\":true,\"placeholder\":\"\",\"show\":true,\"multiline\":true,\"value\":\"import requests\\nfrom langflow import CustomComponent\\nfrom langchain.llms.base import BaseLLM\\nfrom langchain.schema import Document\\nfrom langchain.document_loaders import YoutubeLoader\\n\\n# Example usage:\\n\\nclass YourComponent(CustomComponent):\\n display_name: str = \\\"YouTube Transcript\\\"\\n description: str = \\\"YouTube transcripts refer to the written text versions of the spoken content in a video uploaded to the YouTube platform.\\\"\\n\\n def build_config(self):\\n return {\\\"url\\\": {\\\"multiline\\\": True, \\\"required\\\": True}}\\n\\n def build(self, url: str, llm: BaseLLM, dependencies: Document, language: str = \\\"en\\\") -> Document:\\n dependencies\\n response = requests.get(url)\\n loader = YoutubeLoader.from_youtube_url(url, add_video_info=True, language=[language])\\n result = loader.load()\\n self.repr_value = str(result)\\n return result\",\"password\":false,\"name\":\"code\",\"advanced\":false,\"type\":\"code\",\"list\":false},\"_type\":\"CustomComponent\",\"dependencies\":{\"required\":true,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"password\":false,\"name\":\"dependencies\",\"display_name\":\"dependencies\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"Document\",\"list\":false},\"language\":{\"required\":true,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"value\":\"en\",\"password\":false,\"name\":\"language\",\"display_name\":\"language\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"str\",\"list\":false},\"llm\":{\"required\":true,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"password\":false,\"name\":\"llm\",\"display_name\":\"llm\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"BaseLLM\",\"list\":false},\"url\":{\"required\":true,\"placeholder\":\"\",\"show\":true,\"multiline\":true,\"password\":false,\"name\":\"url\",\"display_name\":\"url\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"str\",\"list\":false}},\"description\":\"YouTube transcripts refer to the written text versions of the spoken content in a video uploaded to the YouTube platform.\",\"base_classes\":[\"Document\"],\"display_name\":\"YouTube Transcript\",\"custom_fields\":{\"dependencies\":null,\"language\":null,\"llm\":null,\"url\":null},\"output_types\":[\"Document\"],\"documentation\":\"\",\"beta\":true,\"error\":null},\"id\":\"CustomComponent-h0NSI\"},\"selected\":false,\"dragging\":false,\"positionAbsolute\":{\"x\":714.9531293402755,\"y\":0.4994374160582993}},{\"width\":384,\"height\":629,\"id\":\"ChatOpenAI-q61Y2\",\"type\":\"genericNode\",\"position\":{\"x\":18,\"y\":625.5521045590924},\"data\":{\"type\":\"ChatOpenAI\",\"node\":{\"template\":{\"callbacks\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"password\":false,\"name\":\"callbacks\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"langchain.callbacks.base.BaseCallbackHandler\",\"list\":true},\"cache\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"password\":false,\"name\":\"cache\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"bool\",\"list\":false},\"client\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"password\":false,\"name\":\"client\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"Any\",\"list\":false},\"max_retries\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"value\":6,\"password\":false,\"name\":\"max_retries\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"int\",\"list\":false},\"max_tokens\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"password\":true,\"name\":\"max_tokens\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"int\",\"list\":false,\"value\":\"\"},\"metadata\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"password\":false,\"name\":\"metadata\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"dict\",\"list\":false},\"model_kwargs\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"password\":false,\"name\":\"model_kwargs\",\"advanced\":true,\"dynamic\":false,\"info\":\"\",\"type\":\"dict\",\"list\":false},\"model_name\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"value\":\"gpt-3.5-turbo-16k\",\"password\":false,\"options\":[\"gpt-3.5-turbo-0613\",\"gpt-3.5-turbo\",\"gpt-3.5-turbo-16k-0613\",\"gpt-3.5-turbo-16k\",\"gpt-4-0613\",\"gpt-4-32k-0613\",\"gpt-4\",\"gpt-4-32k\"],\"name\":\"model_name\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"str\",\"list\":true},\"n\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"value\":1,\"password\":false,\"name\":\"n\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"int\",\"list\":false},\"openai_api_base\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"password\":false,\"name\":\"openai_api_base\",\"display_name\":\"OpenAI API Base\",\"advanced\":false,\"dynamic\":false,\"info\":\"\\nThe base URL of the OpenAI API. Defaults to https://api.openai.com/v1.\\n\\nYou can change this to use other APIs like JinaChat, LocalAI and Prem.\\n\",\"type\":\"str\",\"list\":false},\"openai_api_key\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"value\":\"\",\"password\":true,\"name\":\"openai_api_key\",\"display_name\":\"OpenAI API Key\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"str\",\"list\":false},\"openai_organization\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"password\":false,\"name\":\"openai_organization\",\"display_name\":\"OpenAI Organization\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"str\",\"list\":false},\"openai_proxy\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"password\":false,\"name\":\"openai_proxy\",\"display_name\":\"OpenAI Proxy\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"str\",\"list\":false},\"request_timeout\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"password\":false,\"name\":\"request_timeout\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"float\",\"list\":false},\"streaming\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"value\":false,\"password\":false,\"name\":\"streaming\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"bool\",\"list\":false},\"tags\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"password\":false,\"name\":\"tags\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"str\",\"list\":true},\"temperature\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"value\":0.7,\"password\":false,\"name\":\"temperature\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"float\",\"list\":false},\"tiktoken_model_name\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"password\":false,\"name\":\"tiktoken_model_name\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"str\",\"list\":false},\"verbose\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"value\":false,\"password\":false,\"name\":\"verbose\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"bool\",\"list\":false},\"_type\":\"ChatOpenAI\"},\"description\":\"`OpenAI` Chat large language models API.\",\"base_classes\":[\"ChatOpenAI\",\"BaseChatModel\",\"BaseLanguageModel\",\"BaseLLM\"],\"display_name\":\"ChatOpenAI\",\"custom_fields\":{},\"output_types\":[],\"documentation\":\"https://python.langchain.com/docs/modules/model_io/models/chat/integrations/openai\",\"beta\":false,\"error\":null},\"id\":\"ChatOpenAI-q61Y2\"},\"selected\":false,\"positionAbsolute\":{\"x\":18,\"y\":625.5521045590924},\"dragging\":false},{\"width\":384,\"height\":539,\"id\":\"Chroma-gVhy7\",\"type\":\"genericNode\",\"position\":{\"x\":2110.365967257855,\"y\":805.0149521868784},\"data\":{\"type\":\"Chroma\",\"node\":{\"template\":{\"client\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"password\":false,\"name\":\"client\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"chromadb.Client\",\"list\":false},\"client_settings\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"password\":false,\"name\":\"client_settings\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"chromadb.config.Setting\",\"list\":true},\"documents\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"password\":false,\"name\":\"documents\",\"display_name\":\"Documents\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"Document\",\"list\":true},\"embedding\":{\"required\":true,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"password\":false,\"name\":\"embedding\",\"display_name\":\"Embedding\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"Embeddings\",\"list\":false},\"chroma_server_cors_allow_origins\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"password\":false,\"name\":\"chroma_server_cors_allow_origins\",\"display_name\":\"Chroma Server CORS Allow Origins\",\"advanced\":true,\"dynamic\":false,\"info\":\"\",\"type\":\"str\",\"list\":true},\"chroma_server_grpc_port\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"password\":false,\"name\":\"chroma_server_grpc_port\",\"display_name\":\"Chroma Server GRPC Port\",\"advanced\":true,\"dynamic\":false,\"info\":\"\",\"type\":\"str\",\"list\":false},\"chroma_server_host\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"password\":false,\"name\":\"chroma_server_host\",\"display_name\":\"Chroma Server Host\",\"advanced\":true,\"dynamic\":false,\"info\":\"\",\"type\":\"str\",\"list\":false},\"chroma_server_http_port\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"password\":false,\"name\":\"chroma_server_http_port\",\"display_name\":\"Chroma Server HTTP Port\",\"advanced\":true,\"dynamic\":false,\"info\":\"\",\"type\":\"str\",\"list\":false},\"chroma_server_ssl_enabled\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"value\":false,\"password\":false,\"name\":\"chroma_server_ssl_enabled\",\"display_name\":\"Chroma Server SSL Enabled\",\"advanced\":true,\"dynamic\":false,\"info\":\"\",\"type\":\"bool\",\"list\":false},\"collection_metadata\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"password\":false,\"name\":\"collection_metadata\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"dict\",\"list\":false},\"collection_name\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"value\":\"langchain\",\"password\":false,\"name\":\"collection_name\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"str\",\"list\":false},\"ids\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"password\":false,\"name\":\"ids\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"str\",\"list\":true},\"metadatas\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"password\":false,\"name\":\"metadatas\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"dict\",\"list\":true},\"persist\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"value\":false,\"password\":false,\"name\":\"persist\",\"display_name\":\"Persist\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"bool\",\"list\":false},\"persist_directory\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"password\":false,\"name\":\"persist_directory\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"str\",\"list\":false},\"search_kwargs\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"value\":\"{}\",\"password\":false,\"name\":\"search_kwargs\",\"advanced\":true,\"dynamic\":false,\"info\":\"\",\"type\":\"NestedDict\",\"list\":false},\"_type\":\"Chroma\"},\"description\":\"Create a Chroma vectorstore from a raw documents.\",\"base_classes\":[\"VectorStore\",\"Chroma\",\"BaseRetriever\",\"VectorStoreRetriever\"],\"display_name\":\"Chroma\",\"custom_fields\":{},\"output_types\":[],\"documentation\":\"https://python.langchain.com/docs/modules/data_connection/vectorstores/integrations/chroma\",\"beta\":false,\"error\":null},\"id\":\"Chroma-gVhy7\"},\"selected\":false,\"positionAbsolute\":{\"x\":2110.365967257855,\"y\":805.0149521868784},\"dragging\":false},{\"width\":384,\"height\":501,\"id\":\"RecursiveCharacterTextSplitter-1eaOX\",\"type\":\"genericNode\",\"position\":{\"x\":1409.2872773444874,\"y\":19.45456141103284},\"data\":{\"type\":\"RecursiveCharacterTextSplitter\",\"node\":{\"template\":{\"code\":{\"dynamic\":true,\"required\":true,\"placeholder\":\"\",\"show\":false,\"multiline\":true,\"value\":\"from typing import Optional\\nfrom langflow import CustomComponent\\nfrom langchain.schema import Document\\nfrom langflow.utils.util import build_loader_repr_from_documents\\n\\n\\nclass RecursiveCharacterTextSplitterComponent(CustomComponent):\\n display_name: str = \\\"Recursive Character Text Splitter\\\"\\n description: str = \\\"Split text into chunks of a specified length.\\\"\\n documentation: str = \\\"https://docs.langflow.org/components/text-splitters#recursivecharactertextsplitter\\\"\\n\\n def build_config(self):\\n return {\\n \\\"documents\\\": {\\n \\\"display_name\\\": \\\"Documents\\\",\\n \\\"info\\\": \\\"The documents to split.\\\",\\n },\\n \\\"separators\\\": {\\n \\\"display_name\\\": \\\"Separators\\\",\\n \\\"info\\\": 'The characters to split on.\\\\nIf left empty defaults to [\\\"\\\\\\\\n\\\\\\\\n\\\", \\\"\\\\\\\\n\\\", \\\" \\\", \\\"\\\"].',\\n \\\"is_list\\\": True,\\n },\\n \\\"chunk_size\\\": {\\n \\\"display_name\\\": \\\"Chunk Size\\\",\\n \\\"info\\\": \\\"The maximum length of each chunk.\\\",\\n \\\"field_type\\\": \\\"int\\\",\\n \\\"value\\\": 1000,\\n },\\n \\\"chunk_overlap\\\": {\\n \\\"display_name\\\": \\\"Chunk Overlap\\\",\\n \\\"info\\\": \\\"The amount of overlap between chunks.\\\",\\n \\\"field_type\\\": \\\"int\\\",\\n \\\"value\\\": 200,\\n },\\n \\\"code\\\": {\\\"show\\\": False},\\n }\\n\\n def build(\\n self,\\n documents: list[Document],\\n separators: Optional[list[str]] = None,\\n chunk_size: Optional[int] = 1000,\\n chunk_overlap: Optional[int] = 200,\\n ) -> list[Document]:\\n \\\"\\\"\\\"\\n Split text into chunks of a specified length.\\n\\n Args:\\n separators (list[str]): The characters to split on.\\n chunk_size (int): The maximum length of each chunk.\\n chunk_overlap (int): The amount of overlap between chunks.\\n length_function (function): The function to use to calculate the length of the text.\\n\\n Returns:\\n list[str]: The chunks of text.\\n \\\"\\\"\\\"\\n from langchain.text_splitter import RecursiveCharacterTextSplitter\\n\\n if separators == \\\"\\\":\\n separators = None\\n elif separators:\\n # check if the separators list has escaped characters\\n # if there are escaped characters, unescape them\\n separators = [x.encode().decode(\\\"unicode-escape\\\") for x in separators]\\n\\n # Make sure chunk_size and chunk_overlap are ints\\n if isinstance(chunk_size, str):\\n chunk_size = int(chunk_size)\\n if isinstance(chunk_overlap, str):\\n chunk_overlap = int(chunk_overlap)\\n splitter = RecursiveCharacterTextSplitter(\\n separators=separators,\\n chunk_size=chunk_size,\\n chunk_overlap=chunk_overlap,\\n )\\n\\n docs = splitter.split_documents(documents)\\n self.repr_value = build_loader_repr_from_documents(docs)\\n return docs\\n\",\"password\":false,\"name\":\"code\",\"advanced\":false,\"type\":\"code\",\"list\":false},\"_type\":\"CustomComponent\",\"chunk_overlap\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"value\":\"50\",\"password\":false,\"name\":\"chunk_overlap\",\"display_name\":\"Chunk Overlap\",\"advanced\":false,\"dynamic\":false,\"info\":\"The amount of overlap between chunks.\",\"type\":\"int\",\"list\":false},\"chunk_size\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"value\":\"400\",\"password\":false,\"name\":\"chunk_size\",\"display_name\":\"Chunk Size\",\"advanced\":false,\"dynamic\":false,\"info\":\"The maximum length of each chunk.\",\"type\":\"int\",\"list\":false},\"documents\":{\"required\":true,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"password\":false,\"name\":\"documents\",\"display_name\":\"Documents\",\"advanced\":false,\"dynamic\":false,\"info\":\"The documents to split.\",\"type\":\"Document\",\"list\":true},\"separators\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"password\":false,\"name\":\"separators\",\"display_name\":\"Separators\",\"advanced\":false,\"dynamic\":false,\"info\":\"The characters to split on.\\nIf left empty defaults to [\\\"\\\\n\\\\n\\\", \\\"\\\\n\\\", \\\" \\\", \\\"\\\"].\",\"type\":\"str\",\"list\":true,\"value\":[\" \"]}},\"description\":\"Split text into chunks of a specified length.\",\"base_classes\":[\"Document\"],\"display_name\":\"Recursive Character Text Splitter\",\"custom_fields\":{\"chunk_overlap\":null,\"chunk_size\":null,\"documents\":null,\"separators\":null},\"output_types\":[\"RecursiveCharacterTextSplitter\"],\"documentation\":\"https://docs.langflow.org/components/text-splitters#recursivecharactertextsplitter\",\"beta\":true,\"error\":null},\"id\":\"RecursiveCharacterTextSplitter-1eaOX\"},\"selected\":false,\"positionAbsolute\":{\"x\":1409.2872773444874,\"y\":19.45456141103284},\"dragging\":false},{\"width\":384,\"height\":367,\"id\":\"OpenAIEmbeddings-cduOO\",\"type\":\"genericNode\",\"position\":{\"x\":1405.1176670984544,\"y\":1029.459061269321},\"data\":{\"type\":\"OpenAIEmbeddings\",\"node\":{\"template\":{\"allowed_special\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"value\":[],\"password\":false,\"name\":\"allowed_special\",\"advanced\":true,\"dynamic\":false,\"info\":\"\",\"type\":\"Literal'all'\",\"list\":true},\"disallowed_special\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"value\":\"all\",\"password\":false,\"name\":\"disallowed_special\",\"advanced\":true,\"dynamic\":false,\"info\":\"\",\"type\":\"Literal'all'\",\"list\":true},\"chunk_size\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"value\":1000,\"password\":false,\"name\":\"chunk_size\",\"advanced\":true,\"dynamic\":false,\"info\":\"\",\"type\":\"int\",\"list\":false},\"client\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"password\":false,\"name\":\"client\",\"advanced\":true,\"dynamic\":false,\"info\":\"\",\"type\":\"Any\",\"list\":false},\"deployment\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"value\":\"text-embedding-ada-002\",\"password\":false,\"name\":\"deployment\",\"advanced\":true,\"dynamic\":false,\"info\":\"\",\"type\":\"str\",\"list\":false},\"embedding_ctx_length\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"value\":8191,\"password\":false,\"name\":\"embedding_ctx_length\",\"advanced\":true,\"dynamic\":false,\"info\":\"\",\"type\":\"int\",\"list\":false},\"headers\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":true,\"value\":\"{'Authorization': 'Bearer '}\",\"password\":false,\"name\":\"headers\",\"advanced\":true,\"dynamic\":false,\"info\":\"\",\"type\":\"Any\",\"list\":false},\"max_retries\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"value\":6,\"password\":false,\"name\":\"max_retries\",\"advanced\":true,\"dynamic\":false,\"info\":\"\",\"type\":\"int\",\"list\":false},\"model\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"value\":\"text-embedding-ada-002\",\"password\":false,\"name\":\"model\",\"advanced\":true,\"dynamic\":false,\"info\":\"\",\"type\":\"str\",\"list\":false},\"model_kwargs\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"password\":false,\"name\":\"model_kwargs\",\"advanced\":true,\"dynamic\":false,\"info\":\"\",\"type\":\"dict\",\"list\":false},\"openai_api_base\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"password\":true,\"name\":\"openai_api_base\",\"display_name\":\"OpenAI API Base\",\"advanced\":true,\"dynamic\":false,\"info\":\"\",\"type\":\"str\",\"list\":false,\"value\":\"\"},\"openai_api_key\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"value\":\"\",\"password\":true,\"name\":\"openai_api_key\",\"display_name\":\"OpenAI API Key\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"str\",\"list\":false},\"openai_api_type\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"password\":true,\"name\":\"openai_api_type\",\"display_name\":\"OpenAI API Type\",\"advanced\":true,\"dynamic\":false,\"info\":\"\",\"type\":\"str\",\"list\":false,\"value\":\"\"},\"openai_api_version\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"password\":true,\"name\":\"openai_api_version\",\"display_name\":\"OpenAI API Version\",\"advanced\":true,\"dynamic\":false,\"info\":\"\",\"type\":\"str\",\"list\":false,\"value\":\"\"},\"openai_organization\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"password\":false,\"name\":\"openai_organization\",\"display_name\":\"OpenAI Organization\",\"advanced\":true,\"dynamic\":false,\"info\":\"\",\"type\":\"str\",\"list\":false},\"openai_proxy\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"password\":false,\"name\":\"openai_proxy\",\"display_name\":\"OpenAI Proxy\",\"advanced\":true,\"dynamic\":false,\"info\":\"\",\"type\":\"str\",\"list\":false},\"request_timeout\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"password\":false,\"name\":\"request_timeout\",\"advanced\":true,\"dynamic\":false,\"info\":\"\",\"type\":\"float\",\"list\":false},\"show_progress_bar\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"value\":false,\"password\":false,\"name\":\"show_progress_bar\",\"advanced\":true,\"dynamic\":false,\"info\":\"\",\"type\":\"bool\",\"list\":false},\"skip_empty\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"value\":false,\"password\":false,\"name\":\"skip_empty\",\"advanced\":true,\"dynamic\":false,\"info\":\"\",\"type\":\"bool\",\"list\":false},\"tiktoken_model_name\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"password\":true,\"name\":\"tiktoken_model_name\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"str\",\"list\":false,\"value\":\"\"},\"_type\":\"OpenAIEmbeddings\"},\"description\":\"OpenAI embedding models.\",\"base_classes\":[\"Embeddings\",\"OpenAIEmbeddings\"],\"display_name\":\"OpenAIEmbeddings\",\"custom_fields\":{},\"output_types\":[],\"documentation\":\"https://python.langchain.com/docs/modules/data_connection/text_embedding/integrations/openai\",\"beta\":false,\"error\":null},\"id\":\"OpenAIEmbeddings-cduOO\"},\"selected\":false,\"positionAbsolute\":{\"x\":1405.1176670984544,\"y\":1029.459061269321}},{\"width\":384,\"height\":339,\"id\":\"RetrievalQA-4PmTB\",\"type\":\"genericNode\",\"position\":{\"x\":2711.7786966415715,\"y\":709.4450828605463},\"data\":{\"type\":\"RetrievalQA\",\"node\":{\"template\":{\"callbacks\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"password\":false,\"name\":\"callbacks\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"langchain.callbacks.base.BaseCallbackHandler\",\"list\":true},\"combine_documents_chain\":{\"required\":true,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"password\":false,\"name\":\"combine_documents_chain\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"BaseCombineDocumentsChain\",\"list\":false},\"memory\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"password\":false,\"name\":\"memory\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"BaseMemory\",\"list\":false},\"retriever\":{\"required\":true,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"password\":false,\"name\":\"retriever\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"BaseRetriever\",\"list\":false},\"input_key\":{\"required\":true,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"value\":\"query\",\"password\":false,\"name\":\"input_key\",\"advanced\":true,\"dynamic\":false,\"info\":\"\",\"type\":\"str\",\"list\":false},\"metadata\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"password\":false,\"name\":\"metadata\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"dict\",\"list\":false},\"output_key\":{\"required\":true,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"value\":\"result\",\"password\":false,\"name\":\"output_key\",\"advanced\":true,\"dynamic\":false,\"info\":\"\",\"type\":\"str\",\"list\":false},\"return_source_documents\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"value\":true,\"password\":false,\"name\":\"return_source_documents\",\"advanced\":true,\"dynamic\":false,\"info\":\"\",\"type\":\"bool\",\"list\":false},\"tags\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"password\":false,\"name\":\"tags\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"str\",\"list\":true},\"verbose\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"password\":false,\"name\":\"verbose\",\"advanced\":true,\"dynamic\":false,\"info\":\"\",\"type\":\"bool\",\"list\":false},\"_type\":\"RetrievalQA\"},\"description\":\"Chain for question-answering against an index.\",\"base_classes\":[\"RetrievalQA\",\"Chain\",\"BaseRetrievalQA\",\"function\"],\"display_name\":\"RetrievalQA\",\"custom_fields\":{},\"output_types\":[],\"documentation\":\"https://python.langchain.com/docs/modules/chains/popular/vector_db_qa\",\"beta\":false,\"error\":null},\"id\":\"RetrievalQA-4PmTB\"},\"selected\":false,\"positionAbsolute\":{\"x\":2711.7786966415715,\"y\":709.4450828605463}},{\"width\":384,\"height\":333,\"id\":\"CombineDocsChain-yk0JF\",\"type\":\"genericNode\",\"position\":{\"x\":2125.6202053356537,\"y\":199.07708924409633},\"data\":{\"type\":\"CombineDocsChain\",\"node\":{\"template\":{\"llm\":{\"required\":true,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"password\":false,\"name\":\"llm\",\"display_name\":\"LLM\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"BaseLanguageModel\",\"list\":false},\"chain_type\":{\"required\":true,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"value\":\"stuff\",\"password\":false,\"options\":[\"stuff\",\"map_reduce\",\"map_rerank\",\"refine\"],\"name\":\"chain_type\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"str\",\"list\":true},\"_type\":\"load_qa_chain\"},\"description\":\"Load question answering chain.\",\"base_classes\":[\"BaseCombineDocumentsChain\",\"function\"],\"display_name\":\"CombineDocsChain\",\"custom_fields\":{},\"output_types\":[],\"documentation\":\"\",\"beta\":false,\"error\":null},\"id\":\"CombineDocsChain-yk0JF\"},\"selected\":false,\"positionAbsolute\":{\"x\":2125.6202053356537,\"y\":199.07708924409633},\"dragging\":false},{\"width\":384,\"height\":417,\"id\":\"CustomComponent-y6Wg0\",\"type\":\"genericNode\",\"position\":{\"x\":39.400034102832365,\"y\":-499.03551482195707},\"data\":{\"type\":\"CustomComponent\",\"node\":{\"template\":{\"code\":{\"dynamic\":true,\"required\":true,\"placeholder\":\"\",\"show\":true,\"multiline\":true,\"value\":\"from langflow import CustomComponent\\n\\nimport subprocess\\n\\nfrom langchain.llms.base import BaseLLM\\nfrom langchain.chains import LLMChain\\nfrom langchain.prompts import PromptTemplate\\nfrom langchain.schema import Document\\n\\nfrom typing import List\\n\\n\\nclass YourComponent(CustomComponent):\\n display_name: str = \\\"PIP Install\\\"\\n description: str = \\\"Create any custom component you want!\\\"\\n\\n def build(self, libs: List[str]) -> Document:\\n def install_package(package_name):\\n subprocess.check_call([\\\"pip\\\", \\\"install\\\", package_name])\\n for lib in libs:\\n install_package(lib)\\n return \\\"\\\"\",\"password\":false,\"name\":\"code\",\"advanced\":false,\"type\":\"code\",\"list\":false},\"_type\":\"CustomComponent\",\"libs\":{\"required\":true,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"password\":false,\"name\":\"libs\",\"display_name\":\"libs\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"str\",\"list\":true,\"value\":[\"requests\",\"pytube\"]}},\"description\":\"Create any custom component you want!\",\"base_classes\":[\"Document\"],\"display_name\":\"PIP Install\",\"custom_fields\":{\"libs\":null},\"output_types\":[],\"documentation\":\"\",\"beta\":true,\"error\":null},\"id\":\"CustomComponent-y6Wg0\"},\"selected\":false,\"dragging\":false,\"positionAbsolute\":{\"x\":39.400034102832365,\"y\":-499.03551482195707}}],\"edges\":[{\"source\":\"ChatOpenAI-q61Y2\",\"sourceHandle\":\"{œbaseClassesœ:[œChatOpenAIœ,œBaseChatModelœ,œBaseLanguageModelœ,œBaseLLMœ],œdataTypeœ:œChatOpenAIœ,œidœ:œChatOpenAI-q61Y2œ}\",\"target\":\"CustomComponent-h0NSI\",\"targetHandle\":\"{œfieldNameœ:œllmœ,œidœ:œCustomComponent-h0NSIœ,œinputTypesœ:null,œtypeœ:œBaseLLMœ}\",\"style\":{\"stroke\":\"#555\"},\"className\":\"stroke-gray-900 stroke-connection\",\"animated\":false,\"id\":\"reactflow__edge-ChatOpenAI-q61Y2{œbaseClassesœ:[œChatOpenAIœ,œBaseChatModelœ,œBaseLanguageModelœ,œBaseLLMœ],œdataTypeœ:œChatOpenAIœ,œidœ:œChatOpenAI-q61Y2œ}-CustomComponent-h0NSI{œfieldNameœ:œllmœ,œidœ:œCustomComponent-h0NSIœ,œinputTypesœ:null,œtypeœ:œBaseLLMœ}\",\"data\":{\"sourceHandle\":{\"baseClasses\":[\"ChatOpenAI\",\"BaseChatModel\",\"BaseLanguageModel\",\"BaseLLM\"],\"dataType\":\"ChatOpenAI\",\"id\":\"ChatOpenAI-q61Y2\"},\"targetHandle\":{\"fieldName\":\"llm\",\"id\":\"CustomComponent-h0NSI\",\"inputTypes\":null,\"type\":\"BaseLLM\"}}},{\"source\":\"CustomComponent-y6Wg0\",\"sourceHandle\":\"{œbaseClassesœ:[œDocumentœ],œdataTypeœ:œCustomComponentœ,œidœ:œCustomComponent-y6Wg0œ}\",\"target\":\"CustomComponent-h0NSI\",\"targetHandle\":\"{œfieldNameœ:œdependenciesœ,œidœ:œCustomComponent-h0NSIœ,œinputTypesœ:null,œtypeœ:œDocumentœ}\",\"style\":{\"stroke\":\"#555\"},\"className\":\"stroke-gray-900 stroke-connection\",\"animated\":false,\"id\":\"reactflow__edge-CustomComponent-y6Wg0{œbaseClassesœ:[œDocumentœ],œdataTypeœ:œCustomComponentœ,œidœ:œCustomComponent-y6Wg0œ}-CustomComponent-h0NSI{œfieldNameœ:œdependenciesœ,œidœ:œCustomComponent-h0NSIœ,œinputTypesœ:null,œtypeœ:œDocumentœ}\",\"data\":{\"sourceHandle\":{\"baseClasses\":[\"Document\"],\"dataType\":\"CustomComponent\",\"id\":\"CustomComponent-y6Wg0\"},\"targetHandle\":{\"fieldName\":\"dependencies\",\"id\":\"CustomComponent-h0NSI\",\"inputTypes\":null,\"type\":\"Document\"}}},{\"source\":\"CustomComponent-h0NSI\",\"sourceHandle\":\"{œbaseClassesœ:[œDocumentœ],œdataTypeœ:œCustomComponentœ,œidœ:œCustomComponent-h0NSIœ}\",\"target\":\"RecursiveCharacterTextSplitter-1eaOX\",\"targetHandle\":\"{œfieldNameœ:œdocumentsœ,œidœ:œRecursiveCharacterTextSplitter-1eaOXœ,œinputTypesœ:null,œtypeœ:œDocumentœ}\",\"style\":{\"stroke\":\"#555\"},\"className\":\"stroke-gray-900 stroke-connection\",\"animated\":false,\"id\":\"reactflow__edge-CustomComponent-h0NSI{œbaseClassesœ:[œDocumentœ],œdataTypeœ:œCustomComponentœ,œidœ:œCustomComponent-h0NSIœ}-RecursiveCharacterTextSplitter-1eaOX{œfieldNameœ:œdocumentsœ,œidœ:œRecursiveCharacterTextSplitter-1eaOXœ,œinputTypesœ:null,œtypeœ:œDocumentœ}\",\"data\":{\"sourceHandle\":{\"baseClasses\":[\"Document\"],\"dataType\":\"CustomComponent\",\"id\":\"CustomComponent-h0NSI\"},\"targetHandle\":{\"fieldName\":\"documents\",\"id\":\"RecursiveCharacterTextSplitter-1eaOX\",\"inputTypes\":null,\"type\":\"Document\"}},\"selected\":false},{\"source\":\"OpenAIEmbeddings-cduOO\",\"sourceHandle\":\"{œbaseClassesœ:[œEmbeddingsœ,œOpenAIEmbeddingsœ],œdataTypeœ:œOpenAIEmbeddingsœ,œidœ:œOpenAIEmbeddings-cduOOœ}\",\"target\":\"Chroma-gVhy7\",\"targetHandle\":\"{œfieldNameœ:œembeddingœ,œidœ:œChroma-gVhy7œ,œinputTypesœ:null,œtypeœ:œEmbeddingsœ}\",\"style\":{\"stroke\":\"#555\"},\"className\":\"stroke-gray-900 stroke-connection\",\"animated\":false,\"id\":\"reactflow__edge-OpenAIEmbeddings-cduOO{œbaseClassesœ:[œEmbeddingsœ,œOpenAIEmbeddingsœ],œdataTypeœ:œOpenAIEmbeddingsœ,œidœ:œOpenAIEmbeddings-cduOOœ}-Chroma-gVhy7{œfieldNameœ:œembeddingœ,œidœ:œChroma-gVhy7œ,œinputTypesœ:null,œtypeœ:œEmbeddingsœ}\",\"data\":{\"sourceHandle\":{\"baseClasses\":[\"Embeddings\",\"OpenAIEmbeddings\"],\"dataType\":\"OpenAIEmbeddings\",\"id\":\"OpenAIEmbeddings-cduOO\"},\"targetHandle\":{\"fieldName\":\"embedding\",\"id\":\"Chroma-gVhy7\",\"inputTypes\":null,\"type\":\"Embeddings\"}}},{\"source\":\"RecursiveCharacterTextSplitter-1eaOX\",\"sourceHandle\":\"{œbaseClassesœ:[œDocumentœ],œdataTypeœ:œRecursiveCharacterTextSplitterœ,œidœ:œRecursiveCharacterTextSplitter-1eaOXœ}\",\"target\":\"Chroma-gVhy7\",\"targetHandle\":\"{œfieldNameœ:œdocumentsœ,œidœ:œChroma-gVhy7œ,œinputTypesœ:null,œtypeœ:œDocumentœ}\",\"style\":{\"stroke\":\"#555\"},\"className\":\"stroke-gray-900 stroke-connection\",\"animated\":false,\"id\":\"reactflow__edge-RecursiveCharacterTextSplitter-1eaOX{œbaseClassesœ:[œDocumentœ],œdataTypeœ:œRecursiveCharacterTextSplitterœ,œidœ:œRecursiveCharacterTextSplitter-1eaOXœ}-Chroma-gVhy7{œfieldNameœ:œdocumentsœ,œidœ:œChroma-gVhy7œ,œinputTypesœ:null,œtypeœ:œDocumentœ}\",\"data\":{\"sourceHandle\":{\"baseClasses\":[\"Document\"],\"dataType\":\"RecursiveCharacterTextSplitter\",\"id\":\"RecursiveCharacterTextSplitter-1eaOX\"},\"targetHandle\":{\"fieldName\":\"documents\",\"id\":\"Chroma-gVhy7\",\"inputTypes\":null,\"type\":\"Document\"}}},{\"source\":\"ChatOpenAI-q61Y2\",\"sourceHandle\":\"{œbaseClassesœ:[œChatOpenAIœ,œBaseChatModelœ,œBaseLanguageModelœ,œBaseLLMœ],œdataTypeœ:œChatOpenAIœ,œidœ:œChatOpenAI-q61Y2œ}\",\"target\":\"CombineDocsChain-yk0JF\",\"targetHandle\":\"{œfieldNameœ:œllmœ,œidœ:œCombineDocsChain-yk0JFœ,œinputTypesœ:null,œtypeœ:œBaseLanguageModelœ}\",\"style\":{\"stroke\":\"#555\"},\"className\":\"stroke-gray-900 stroke-connection\",\"animated\":false,\"id\":\"reactflow__edge-ChatOpenAI-q61Y2{œbaseClassesœ:[œChatOpenAIœ,œBaseChatModelœ,œBaseLanguageModelœ,œBaseLLMœ],œdataTypeœ:œChatOpenAIœ,œidœ:œChatOpenAI-q61Y2œ}-CombineDocsChain-yk0JF{œfieldNameœ:œllmœ,œidœ:œCombineDocsChain-yk0JFœ,œinputTypesœ:null,œtypeœ:œBaseLanguageModelœ}\",\"data\":{\"sourceHandle\":{\"baseClasses\":[\"ChatOpenAI\",\"BaseChatModel\",\"BaseLanguageModel\",\"BaseLLM\"],\"dataType\":\"ChatOpenAI\",\"id\":\"ChatOpenAI-q61Y2\"},\"targetHandle\":{\"fieldName\":\"llm\",\"id\":\"CombineDocsChain-yk0JF\",\"inputTypes\":null,\"type\":\"BaseLanguageModel\"}}},{\"source\":\"CombineDocsChain-yk0JF\",\"sourceHandle\":\"{œbaseClassesœ:[œBaseCombineDocumentsChainœ,œfunctionœ],œdataTypeœ:œCombineDocsChainœ,œidœ:œCombineDocsChain-yk0JFœ}\",\"target\":\"RetrievalQA-4PmTB\",\"targetHandle\":\"{œfieldNameœ:œcombine_documents_chainœ,œidœ:œRetrievalQA-4PmTBœ,œinputTypesœ:null,œtypeœ:œBaseCombineDocumentsChainœ}\",\"style\":{\"stroke\":\"#555\"},\"className\":\"stroke-gray-900 stroke-connection\",\"animated\":false,\"id\":\"reactflow__edge-CombineDocsChain-yk0JF{œbaseClassesœ:[œBaseCombineDocumentsChainœ,œfunctionœ],œdataTypeœ:œCombineDocsChainœ,œidœ:œCombineDocsChain-yk0JFœ}-RetrievalQA-4PmTB{œfieldNameœ:œcombine_documents_chainœ,œidœ:œRetrievalQA-4PmTBœ,œinputTypesœ:null,œtypeœ:œBaseCombineDocumentsChainœ}\",\"data\":{\"sourceHandle\":{\"baseClasses\":[\"BaseCombineDocumentsChain\",\"function\"],\"dataType\":\"CombineDocsChain\",\"id\":\"CombineDocsChain-yk0JF\"},\"targetHandle\":{\"fieldName\":\"combine_documents_chain\",\"id\":\"RetrievalQA-4PmTB\",\"inputTypes\":null,\"type\":\"BaseCombineDocumentsChain\"}}},{\"source\":\"Chroma-gVhy7\",\"sourceHandle\":\"{œbaseClassesœ:[œVectorStoreœ,œChromaœ,œBaseRetrieverœ,œVectorStoreRetrieverœ],œdataTypeœ:œChromaœ,œidœ:œChroma-gVhy7œ}\",\"target\":\"RetrievalQA-4PmTB\",\"targetHandle\":\"{œfieldNameœ:œretrieverœ,œidœ:œRetrievalQA-4PmTBœ,œinputTypesœ:null,œtypeœ:œBaseRetrieverœ}\",\"style\":{\"stroke\":\"#555\"},\"className\":\"stroke-gray-900 stroke-connection\",\"animated\":false,\"id\":\"reactflow__edge-Chroma-gVhy7{œbaseClassesœ:[œVectorStoreœ,œChromaœ,œBaseRetrieverœ,œVectorStoreRetrieverœ],œdataTypeœ:œChromaœ,œidœ:œChroma-gVhy7œ}-RetrievalQA-4PmTB{œfieldNameœ:œretrieverœ,œidœ:œRetrievalQA-4PmTBœ,œinputTypesœ:null,œtypeœ:œBaseRetrieverœ}\",\"data\":{\"sourceHandle\":{\"baseClasses\":[\"VectorStore\",\"Chroma\",\"BaseRetriever\",\"VectorStoreRetriever\"],\"dataType\":\"Chroma\",\"id\":\"Chroma-gVhy7\"},\"targetHandle\":{\"fieldName\":\"retriever\",\"id\":\"RetrievalQA-4PmTB\",\"inputTypes\":null,\"type\":\"BaseRetriever\"}}}],\"viewport\":{\"x\":189.54413265004274,\"y\":259.89949657174975,\"zoom\":0.291027508374689}},\"is_component\":false,\"updated_at\":\"2023-12-04T22:59:08.830269\",\"folder\":null,\"id\":\"bc7eb94b-6fc6-49cb-9b19-35347ba51afa\",\"user_id\":\"d253bfba-6368-44dc-85f7-0d6da9e45968\"},{\"name\":\"Web Scraper - Content & Links\",\"description\":\"Fetch and parse text and links from a given URL.\",\"data\":{\"nodes\":[{\"width\":384,\"height\":338,\"id\":\"LLMChain-H7PBy\",\"type\":\"genericNode\",\"position\":{\"x\":1682.494010974207,\"y\":275.5701585623092},\"data\":{\"type\":\"LLMChain\",\"node\":{\"template\":{\"code\":{\"dynamic\":true,\"required\":true,\"placeholder\":\"\",\"show\":false,\"multiline\":true,\"value\":\"from typing import Callable, Optional, Union\\n\\nfrom langchain.chains import LLMChain\\n\\nfrom langflow import CustomComponent\\nfrom langflow.field_typing import (\\n BaseLanguageModel,\\n BaseMemory,\\n BasePromptTemplate,\\n Chain,\\n)\\n\\n\\nclass LLMChainComponent(CustomComponent):\\n display_name = \\\"LLMChain\\\"\\n description = \\\"Chain to run queries against LLMs\\\"\\n\\n def build_config(self):\\n return {\\n \\\"prompt\\\": {\\\"display_name\\\": \\\"Prompt\\\"},\\n \\\"llm\\\": {\\\"display_name\\\": \\\"LLM\\\"},\\n \\\"memory\\\": {\\\"display_name\\\": \\\"Memory\\\"},\\n \\\"code\\\": {\\\"show\\\": False},\\n }\\n\\n def build(\\n self,\\n prompt: BasePromptTemplate,\\n llm: BaseLanguageModel,\\n memory: Optional[BaseMemory] = None,\\n ) -> Union[Chain, Callable]:\\n return LLMChain(prompt=prompt, llm=llm, memory=memory)\\n\",\"password\":false,\"name\":\"code\",\"advanced\":false,\"type\":\"code\",\"list\":false},\"_type\":\"CustomComponent\",\"llm\":{\"required\":true,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"password\":false,\"name\":\"llm\",\"display_name\":\"LLM\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"BaseLanguageModel\",\"list\":false},\"memory\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"password\":false,\"name\":\"memory\",\"display_name\":\"Memory\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"BaseMemory\",\"list\":false},\"prompt\":{\"required\":true,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"password\":false,\"name\":\"prompt\",\"display_name\":\"Prompt\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"BasePromptTemplate\",\"list\":false}},\"description\":\"Chain to run queries against LLMs\",\"base_classes\":[\"Chain\",\"Callable\"],\"display_name\":\"LLMChain\",\"custom_fields\":{\"llm\":null,\"memory\":null,\"prompt\":null},\"output_types\":[\"LLMChain\"],\"documentation\":\"\",\"beta\":true,\"error\":null},\"id\":\"LLMChain-H7PBy\"},\"selected\":false,\"positionAbsolute\":{\"x\":1682.494010974207,\"y\":275.5701585623092},\"dragging\":false},{\"width\":384,\"height\":626,\"id\":\"ChatOpenAI-VSAdc\",\"type\":\"genericNode\",\"position\":{\"x\":1002.4263147022411,\"y\":-198.2305006886859},\"data\":{\"type\":\"ChatOpenAI\",\"node\":{\"template\":{\"callbacks\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"password\":false,\"name\":\"callbacks\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"langchain_core.callbacks.base.BaseCallbackHandler\",\"list\":true},\"async_client\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"password\":false,\"name\":\"async_client\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"Any\",\"list\":false},\"cache\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"password\":false,\"name\":\"cache\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"bool\",\"list\":false},\"client\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"password\":false,\"name\":\"client\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"Any\",\"list\":false},\"default_headers\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"password\":false,\"name\":\"default_headers\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"dict\",\"list\":false},\"default_query\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"password\":false,\"name\":\"default_query\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"dict\",\"list\":false},\"http_client\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"password\":false,\"name\":\"http_client\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"Any\",\"list\":false},\"max_retries\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"value\":2,\"password\":false,\"name\":\"max_retries\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"int\",\"list\":false},\"max_tokens\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"password\":true,\"name\":\"max_tokens\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"int\",\"list\":false,\"value\":\"\"},\"metadata\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"password\":false,\"name\":\"metadata\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"dict\",\"list\":false},\"model_kwargs\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"password\":false,\"name\":\"model_kwargs\",\"advanced\":true,\"dynamic\":false,\"info\":\"\",\"type\":\"dict\",\"list\":false},\"model_name\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"value\":\"gpt-4-1106-preview\",\"password\":false,\"options\":[\"gpt-4-1106-preview\",\"gpt-4\",\"gpt-4-32k\",\"gpt-3.5-turbo\",\"gpt-3.5-turbo-16k\"],\"name\":\"model_name\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"str\",\"list\":true},\"n\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"value\":1,\"password\":false,\"name\":\"n\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"int\",\"list\":false},\"openai_api_base\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"password\":false,\"name\":\"openai_api_base\",\"display_name\":\"OpenAI API Base\",\"advanced\":false,\"dynamic\":false,\"info\":\"\\nThe base URL of the OpenAI API. Defaults to https://api.openai.com/v1.\\n\\nYou can change this to use other APIs like JinaChat, LocalAI and Prem.\\n\",\"type\":\"str\",\"list\":false},\"openai_api_key\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"value\":\"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\",\"password\":true,\"name\":\"openai_api_key\",\"display_name\":\"OpenAI API Key\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"str\",\"list\":false},\"openai_organization\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"password\":false,\"name\":\"openai_organization\",\"display_name\":\"OpenAI Organization\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"str\",\"list\":false},\"openai_proxy\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"password\":false,\"name\":\"openai_proxy\",\"display_name\":\"OpenAI Proxy\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"str\",\"list\":false},\"request_timeout\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"password\":false,\"name\":\"request_timeout\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"float\",\"list\":false},\"streaming\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"value\":false,\"password\":false,\"name\":\"streaming\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"bool\",\"list\":false},\"tags\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"password\":false,\"name\":\"tags\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"str\",\"list\":true},\"temperature\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"value\":\"0.1\",\"password\":false,\"name\":\"temperature\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"float\",\"list\":false},\"tiktoken_model_name\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"password\":false,\"name\":\"tiktoken_model_name\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"str\",\"list\":false},\"verbose\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"value\":false,\"password\":false,\"name\":\"verbose\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"bool\",\"list\":false},\"_type\":\"ChatOpenAI\"},\"description\":\"`OpenAI` Chat large language models API.\",\"base_classes\":[\"BaseLanguageModel\",\"ChatOpenAI\",\"BaseChatModel\",\"BaseLLM\"],\"display_name\":\"ChatOpenAI\",\"custom_fields\":{},\"output_types\":[],\"documentation\":\"https://python.langchain.com/docs/modules/model_io/models/chat/integrations/openai\",\"beta\":false,\"error\":null},\"id\":\"ChatOpenAI-VSAdc\"},\"selected\":false,\"dragging\":false,\"positionAbsolute\":{\"x\":1002.4263147022411,\"y\":-198.2305006886859}},{\"width\":384,\"height\":374,\"data\":{\"id\":\"GroupNode-WXPMk\",\"type\":\"PromptTemplate\",\"node\":{\"output_types\":[],\"display_name\":\"Web Scraper\",\"documentation\":\"\",\"base_classes\":[\"StringPromptTemplate\",\"BasePromptTemplate\",\"PromptTemplate\"],\"description\":\"Fetch and parse text and links from a given URL.\",\"template\":{\"code_CustomComponent-f6nOg\":{\"dynamic\":true,\"required\":true,\"placeholder\":\"\",\"show\":false,\"multiline\":true,\"value\":\"from langflow import CustomComponent\\nfrom langflow.field_typing import Data\\nimport html2text\\n\\nclass ConvertHTMLToMarkdown(CustomComponent):\\n display_name: str = \\\"HTML to Markdown\\\"\\n description: str = \\\"Converts HTML content to Markdown format.\\\"\\n\\n def build(self, html_content: Data, ignore_links: bool = False) -> str:\\n converter = html2text.HTML2Text()\\n converter.ignore_links = ignore_links\\n markdown_text = converter.handle(html_content)\\n self.status = markdown_text\\n return markdown_text\\n\",\"password\":false,\"name\":\"code\",\"advanced\":false,\"type\":\"code\",\"list\":false,\"proxy\":{\"id\":\"CustomComponent-f6nOg\",\"field\":\"code\"},\"display_name\":\"Code\"},\"ignore_links_CustomComponent-f6nOg\":{\"required\":true,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"value\":false,\"password\":false,\"name\":\"ignore_links\",\"display_name\":\"ignore_links\",\"advanced\":true,\"dynamic\":false,\"info\":\"\",\"type\":\"bool\",\"list\":false,\"proxy\":{\"id\":\"CustomComponent-f6nOg\",\"field\":\"ignore_links\"}},\"code_CustomComponent-FGzJJ\":{\"dynamic\":true,\"required\":true,\"placeholder\":\"\",\"show\":false,\"multiline\":true,\"value\":\"from langflow import CustomComponent\\nfrom langflow.field_typing import Data\\nimport requests\\n\\nclass FetchHTMLContent(CustomComponent):\\n display_name: str = \\\"Fetch HTML\\\"\\n description: str = \\\"Fetches HTML content from a specified URL.\\\"\\n \\n def build_config(self):\\n return {\\\"url\\\": {\\\"input_types\\\": [\\\"Data\\\", \\\"str\\\"]}} \\n\\n def build(self, url: str) -> Data:\\n response = requests.get(url)\\n self.status = str(response) + \\\"\\\\n\\\\n\\\" + response.text\\n return response.text\\n\",\"password\":false,\"name\":\"code\",\"advanced\":false,\"type\":\"code\",\"list\":false,\"proxy\":{\"id\":\"CustomComponent-FGzJJ\",\"field\":\"code\"},\"display_name\":\"Code\"},\"code_CustomComponent-0XtUN\":{\"dynamic\":true,\"required\":true,\"placeholder\":\"\",\"show\":false,\"multiline\":true,\"value\":\"from bs4 import BeautifulSoup\\nfrom langflow import CustomComponent\\nfrom langflow.field_typing import Data\\n\\nclass ParseHTMLContent(CustomComponent):\\n display_name: str = \\\"Parse HTML\\\"\\n description: str = \\\"Parses HTML content using Beautiful Soup.\\\"\\n\\n def build(self, html_content: Data) -> Data:\\n soup = BeautifulSoup(html_content, 'html.parser')\\n self.status = soup\\n return soup\\n\",\"password\":false,\"name\":\"code\",\"advanced\":false,\"type\":\"code\",\"list\":false,\"proxy\":{\"id\":\"CustomComponent-0XtUN\",\"field\":\"code\"},\"display_name\":\"Code\"},\"code_CustomComponent-ODIcp\":{\"dynamic\":true,\"required\":true,\"placeholder\":\"\",\"show\":false,\"multiline\":true,\"value\":\"from langflow import CustomComponent\\nfrom langflow.field_typing import Data\\n\\nclass ExtractHyperlinks(CustomComponent):\\n display_name: str = \\\"Extract Hyperlinks\\\"\\n description: str = \\\"Extracts hyperlinks from parsed HTML content.\\\"\\n\\n def build(self, soup: Data) -> list:\\n links = [link.get('href') for link in soup.find_all('a')]\\n self.status = links\\n return links\\n\",\"password\":false,\"name\":\"code\",\"advanced\":false,\"type\":\"code\",\"list\":false,\"proxy\":{\"id\":\"CustomComponent-ODIcp\",\"field\":\"code\"},\"display_name\":\"Code\"},\"output_parser_PromptTemplate-H9Udy\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"password\":false,\"name\":\"output_parser\",\"advanced\":false,\"dynamic\":true,\"info\":\"\",\"type\":\"BaseOutputParser\",\"list\":false,\"proxy\":{\"id\":\"PromptTemplate-H9Udy\",\"field\":\"output_parser\"},\"display_name\":\"Output Parser\"},\"input_types_PromptTemplate-H9Udy\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"password\":false,\"name\":\"input_types\",\"advanced\":true,\"dynamic\":true,\"info\":\"\",\"type\":\"dict\",\"list\":false,\"proxy\":{\"id\":\"PromptTemplate-H9Udy\",\"field\":\"input_types\"},\"display_name\":\"Input Types\"},\"input_variables_PromptTemplate-H9Udy\":{\"required\":true,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"password\":false,\"name\":\"input_variables\",\"advanced\":false,\"dynamic\":true,\"info\":\"\",\"type\":\"str\",\"list\":true,\"value\":[\"url\",\"html_markdown\",\"html_links\",\"query\"],\"proxy\":{\"id\":\"PromptTemplate-H9Udy\",\"field\":\"input_variables\"},\"display_name\":\"Input Variables\"},\"partial_variables_PromptTemplate-H9Udy\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"password\":false,\"name\":\"partial_variables\",\"advanced\":true,\"dynamic\":true,\"info\":\"\",\"type\":\"dict\",\"list\":false,\"proxy\":{\"id\":\"PromptTemplate-H9Udy\",\"field\":\"partial_variables\"},\"display_name\":\"Partial Variables\"},\"template_PromptTemplate-H9Udy\":{\"required\":true,\"placeholder\":\"\",\"show\":true,\"multiline\":true,\"password\":false,\"name\":\"template\",\"advanced\":true,\"dynamic\":true,\"info\":\"\",\"type\":\"prompt\",\"list\":false,\"value\":\"Below is the HTML content (as markdown) and hyperlinks extracted from {url}\\n\\n---\\n\\nContent:\\n\\n{html_markdown}\\n\\n---\\n\\nLinks:\\n\\n{html_links}\\n\\n---\\n\\nAnswer the user query as best as possible.\\n\\nUser query:\\n\\n{query}\\n\\nAnswer:\\n\",\"proxy\":{\"id\":\"PromptTemplate-H9Udy\",\"field\":\"template\"},\"display_name\":\"Template\"},\"template_format_PromptTemplate-H9Udy\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"value\":\"f-string\",\"password\":false,\"name\":\"template_format\",\"advanced\":true,\"dynamic\":true,\"info\":\"\",\"type\":\"str\",\"list\":false,\"proxy\":{\"id\":\"PromptTemplate-H9Udy\",\"field\":\"template_format\"},\"display_name\":\"Template Format\"},\"validate_template_PromptTemplate-H9Udy\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"value\":false,\"password\":false,\"name\":\"validate_template\",\"advanced\":true,\"dynamic\":true,\"info\":\"\",\"type\":\"bool\",\"list\":false,\"proxy\":{\"id\":\"PromptTemplate-H9Udy\",\"field\":\"validate_template\"},\"display_name\":\"Validate Template\"},\"query_PromptTemplate-H9Udy\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":true,\"value\":\"give me links\",\"password\":false,\"name\":\"query\",\"display_name\":\"query\",\"advanced\":false,\"input_types\":[\"Document\",\"BaseOutputParser\"],\"dynamic\":false,\"info\":\"\",\"type\":\"str\",\"list\":false,\"proxy\":{\"id\":\"PromptTemplate-H9Udy\",\"field\":\"query\"}},\"code_CustomComponent-OACE0\":{\"dynamic\":true,\"required\":true,\"placeholder\":\"\",\"show\":false,\"multiline\":true,\"value\":\"from langflow import CustomComponent\\nfrom langflow.field_typing import Data\\nimport requests\\n\\nclass FetchHTMLContent(CustomComponent):\\n display_name: str = \\\"URL Input\\\"\\n\\n def build(self, url: str) -> str:\\n return url\\n\",\"password\":false,\"name\":\"code\",\"advanced\":false,\"type\":\"code\",\"list\":false,\"proxy\":{\"id\":\"CustomComponent-OACE0\",\"field\":\"code\"},\"display_name\":\"Code\"},\"url_CustomComponent-OACE0\":{\"required\":true,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"password\":false,\"name\":\"url\",\"display_name\":\"url\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"str\",\"list\":false,\"proxy\":{\"id\":\"CustomComponent-OACE0\",\"field\":\"url\"},\"value\":\"https://paperswithcode.com/\"},\"code_CustomComponent-whsQ5\":{\"dynamic\":true,\"required\":true,\"placeholder\":\"\",\"show\":false,\"multiline\":true,\"value\":\"from langflow import CustomComponent\\n\\nclass ListToMarkdownBullets(CustomComponent):\\n display_name: str = \\\"List to Bullets\\\"\\n description: str = \\\"Converts a Python list into Markdown bullet points.\\\"\\n\\n def build(self, items: list) -> str:\\n markdown_bullets = '\\\\n'.join(f'* {item}' for item in items)\\n return markdown_bullets\\n\",\"password\":false,\"name\":\"code\",\"advanced\":false,\"type\":\"code\",\"list\":false,\"proxy\":{\"id\":\"CustomComponent-whsQ5\",\"field\":\"code\"},\"display_name\":\"Code\"}},\"flow\":{\"data\":{\"nodes\":[{\"width\":384,\"height\":405,\"id\":\"CustomComponent-f6nOg\",\"type\":\"genericNode\",\"position\":{\"x\":665.2835942536854,\"y\":-371.7823429271119},\"data\":{\"type\":\"CustomComponent\",\"node\":{\"template\":{\"code\":{\"dynamic\":true,\"required\":true,\"placeholder\":\"\",\"show\":true,\"multiline\":true,\"value\":\"from langflow import CustomComponent\\nfrom langflow.field_typing import Data\\nimport html2text\\n\\nclass ConvertHTMLToMarkdown(CustomComponent):\\n display_name: str = \\\"HTML to Markdown\\\"\\n description: str = \\\"Converts HTML content to Markdown format.\\\"\\n\\n def build(self, html_content: Data, ignore_links: bool = False) -> str:\\n converter = html2text.HTML2Text()\\n converter.ignore_links = ignore_links\\n markdown_text = converter.handle(html_content)\\n self.status = markdown_text\\n return markdown_text\\n\",\"password\":false,\"name\":\"code\",\"advanced\":false,\"type\":\"code\",\"list\":false},\"_type\":\"CustomComponent\",\"html_content\":{\"required\":true,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"password\":false,\"name\":\"html_content\",\"display_name\":\"html_content\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"Data\",\"list\":false},\"ignore_links\":{\"required\":true,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"value\":false,\"password\":false,\"name\":\"ignore_links\",\"display_name\":\"ignore_links\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"bool\",\"list\":false}},\"description\":\"Converts HTML content to Markdown format.\",\"base_classes\":[\"str\"],\"display_name\":\"HTML to Markdown\",\"custom_fields\":{\"html_content\":null,\"ignore_links\":null},\"output_types\":[\"str\"],\"documentation\":\"\",\"beta\":true,\"error\":null},\"id\":\"CustomComponent-f6nOg\"},\"selected\":true,\"positionAbsolute\":{\"x\":665.2835942536854,\"y\":-371.7823429271119},\"dragging\":false},{\"width\":384,\"height\":375,\"id\":\"CustomComponent-FGzJJ\",\"type\":\"genericNode\",\"position\":{\"x\":-464.4553400967736,\"y\":-225.62715888255525},\"data\":{\"type\":\"CustomComponent\",\"node\":{\"template\":{\"code\":{\"dynamic\":true,\"required\":true,\"placeholder\":\"\",\"show\":true,\"multiline\":true,\"value\":\"from langflow import CustomComponent\\nfrom langflow.field_typing import Data\\nimport requests\\n\\nclass FetchHTMLContent(CustomComponent):\\n display_name: str = \\\"Fetch HTML\\\"\\n description: str = \\\"Fetches HTML content from a specified URL.\\\"\\n \\n def build_config(self):\\n return {\\\"url\\\": {\\\"input_types\\\": [\\\"Data\\\", \\\"str\\\"]}} \\n\\n def build(self, url: str) -> Data:\\n response = requests.get(url)\\n self.status = str(response) + \\\"\\\\n\\\\n\\\" + response.text\\n return response.text\\n\",\"password\":false,\"name\":\"code\",\"advanced\":false,\"type\":\"code\",\"list\":false},\"_type\":\"CustomComponent\",\"url\":{\"required\":true,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"password\":false,\"name\":\"url\",\"display_name\":\"url\",\"advanced\":false,\"input_types\":[\"Data\",\"str\"],\"dynamic\":false,\"info\":\"\",\"type\":\"str\",\"list\":false,\"value\":\"\"}},\"description\":\"Fetches HTML content from a specified URL.\",\"base_classes\":[\"Data\"],\"display_name\":\"Fetch HTML\",\"custom_fields\":{\"url\":null},\"output_types\":[\"Data\"],\"documentation\":\"\",\"beta\":true,\"error\":null},\"id\":\"CustomComponent-FGzJJ\"},\"selected\":true,\"dragging\":false,\"positionAbsolute\":{\"x\":-464.4553400967736,\"y\":-225.62715888255525}},{\"width\":384,\"height\":329,\"id\":\"CustomComponent-0XtUN\",\"type\":\"genericNode\",\"position\":{\"x\":214.00059169497604,\"y\":177.27071061129823},\"data\":{\"type\":\"CustomComponent\",\"node\":{\"template\":{\"code\":{\"dynamic\":true,\"required\":true,\"placeholder\":\"\",\"show\":true,\"multiline\":true,\"value\":\"from bs4 import BeautifulSoup\\nfrom langflow import CustomComponent\\nfrom langflow.field_typing import Data\\n\\nclass ParseHTMLContent(CustomComponent):\\n display_name: str = \\\"Parse HTML\\\"\\n description: str = \\\"Parses HTML content using Beautiful Soup.\\\"\\n\\n def build(self, html_content: Data) -> Data:\\n soup = BeautifulSoup(html_content, 'html.parser')\\n self.status = soup\\n return soup\\n\",\"password\":false,\"name\":\"code\",\"advanced\":false,\"type\":\"code\",\"list\":false},\"_type\":\"CustomComponent\",\"html_content\":{\"required\":true,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"password\":false,\"name\":\"html_content\",\"display_name\":\"html_content\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"Data\",\"list\":false}},\"description\":\"Parses HTML content using Beautiful Soup.\",\"base_classes\":[\"Data\"],\"display_name\":\"Parse HTML\",\"custom_fields\":{\"html_content\":null},\"output_types\":[\"Data\"],\"documentation\":\"\",\"beta\":true,\"error\":null},\"id\":\"CustomComponent-0XtUN\"},\"selected\":true,\"dragging\":false,\"positionAbsolute\":{\"x\":214.00059169497604,\"y\":177.27071061129823}},{\"width\":384,\"height\":329,\"id\":\"CustomComponent-ODIcp\",\"type\":\"genericNode\",\"position\":{\"x\":845.0502195222412,\"y\":366.54344452019404},\"data\":{\"type\":\"CustomComponent\",\"node\":{\"template\":{\"code\":{\"dynamic\":true,\"required\":true,\"placeholder\":\"\",\"show\":true,\"multiline\":true,\"value\":\"from langflow import CustomComponent\\nfrom langflow.field_typing import Data\\n\\nclass ExtractHyperlinks(CustomComponent):\\n display_name: str = \\\"Extract Hyperlinks\\\"\\n description: str = \\\"Extracts hyperlinks from parsed HTML content.\\\"\\n\\n def build(self, soup: Data) -> list:\\n links = [link.get('href') for link in soup.find_all('a')]\\n self.status = links\\n return links\\n\",\"password\":false,\"name\":\"code\",\"advanced\":false,\"type\":\"code\",\"list\":false},\"_type\":\"CustomComponent\",\"soup\":{\"required\":true,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"password\":false,\"name\":\"soup\",\"display_name\":\"soup\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"Data\",\"list\":false}},\"description\":\"Extracts hyperlinks from parsed HTML content.\",\"base_classes\":[\"list\"],\"display_name\":\"Extract Hyperlinks\",\"custom_fields\":{\"soup\":null},\"output_types\":[\"list\"],\"documentation\":\"\",\"beta\":true,\"error\":null},\"id\":\"CustomComponent-ODIcp\"},\"selected\":true,\"positionAbsolute\":{\"x\":845.0502195222412,\"y\":366.54344452019404},\"dragging\":false},{\"width\":384,\"height\":657,\"id\":\"PromptTemplate-H9Udy\",\"type\":\"genericNode\",\"position\":{\"x\":2230.389721706283,\"y\":584.4905083765256},\"data\":{\"type\":\"PromptTemplate\",\"node\":{\"template\":{\"output_parser\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"password\":false,\"name\":\"output_parser\",\"advanced\":false,\"dynamic\":true,\"info\":\"\",\"type\":\"BaseOutputParser\",\"list\":false},\"input_types\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"password\":false,\"name\":\"input_types\",\"advanced\":false,\"dynamic\":true,\"info\":\"\",\"type\":\"dict\",\"list\":false},\"input_variables\":{\"required\":true,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"password\":false,\"name\":\"input_variables\",\"advanced\":false,\"dynamic\":true,\"info\":\"\",\"type\":\"str\",\"list\":true,\"value\":[\"url\",\"html_markdown\",\"html_links\",\"query\"]},\"partial_variables\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"password\":false,\"name\":\"partial_variables\",\"advanced\":false,\"dynamic\":true,\"info\":\"\",\"type\":\"dict\",\"list\":false},\"template\":{\"required\":true,\"placeholder\":\"\",\"show\":true,\"multiline\":true,\"password\":false,\"name\":\"template\",\"advanced\":false,\"dynamic\":true,\"info\":\"\",\"type\":\"prompt\",\"list\":false,\"value\":\"Below is the HTML content (as markdown) and hyperlinks extracted from {url}\\n\\n---\\n\\nContent:\\n\\n{html_markdown}\\n\\n---\\n\\nLinks:\\n\\n{html_links}\\n\\n---\\n\\nAnswer the user query as best as possible.\\n\\nUser query:\\n\\n{query}\\n\\nAnswer:\\n\"},\"template_format\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"value\":\"f-string\",\"password\":false,\"name\":\"template_format\",\"advanced\":false,\"dynamic\":true,\"info\":\"\",\"type\":\"str\",\"list\":false},\"validate_template\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"value\":false,\"password\":false,\"name\":\"validate_template\",\"advanced\":false,\"dynamic\":true,\"info\":\"\",\"type\":\"bool\",\"list\":false},\"_type\":\"PromptTemplate\",\"url\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":true,\"value\":\"\",\"password\":false,\"name\":\"url\",\"display_name\":\"url\",\"advanced\":false,\"input_types\":[\"Document\",\"BaseOutputParser\"],\"dynamic\":false,\"info\":\"\",\"type\":\"str\",\"list\":false},\"html_markdown\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":true,\"value\":\"\",\"password\":false,\"name\":\"html_markdown\",\"display_name\":\"html_markdown\",\"advanced\":false,\"input_types\":[\"Document\",\"BaseOutputParser\"],\"dynamic\":false,\"info\":\"\",\"type\":\"str\",\"list\":false},\"html_links\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":true,\"value\":\"\",\"password\":false,\"name\":\"html_links\",\"display_name\":\"html_links\",\"advanced\":false,\"input_types\":[\"Document\",\"BaseOutputParser\"],\"dynamic\":false,\"info\":\"\",\"type\":\"str\",\"list\":false},\"query\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":true,\"value\":\"\",\"password\":false,\"name\":\"query\",\"display_name\":\"query\",\"advanced\":false,\"input_types\":[\"Document\",\"BaseOutputParser\"],\"dynamic\":false,\"info\":\"\",\"type\":\"str\",\"list\":false}},\"description\":\"A prompt template for a language model.\",\"base_classes\":[\"StringPromptTemplate\",\"BasePromptTemplate\",\"PromptTemplate\"],\"name\":\"\",\"display_name\":\"PromptTemplate\",\"documentation\":\"https://python.langchain.com/docs/modules/model_io/prompts/prompt_templates/\",\"custom_fields\":{\"\":[\"url\",\"html_markdown\",\"html_links\",\"query\"]},\"output_types\":[],\"full_path\":null,\"field_formatters\":{},\"beta\":false,\"error\":null},\"id\":\"PromptTemplate-H9Udy\"},\"selected\":true,\"positionAbsolute\":{\"x\":2230.389721706283,\"y\":584.4905083765256},\"dragging\":false},{\"width\":384,\"height\":347,\"id\":\"CustomComponent-OACE0\",\"type\":\"genericNode\",\"position\":{\"x\":-1155.9497945157625,\"y\":198.13583204151553},\"data\":{\"type\":\"CustomComponent\",\"node\":{\"template\":{\"code\":{\"dynamic\":true,\"required\":true,\"placeholder\":\"\",\"show\":true,\"multiline\":true,\"value\":\"from langflow import CustomComponent\\nfrom langflow.field_typing import Data\\nimport requests\\n\\nclass FetchHTMLContent(CustomComponent):\\n display_name: str = \\\"URL Input\\\"\\n\\n def build(self, url: str) -> str:\\n return url\\n\",\"password\":false,\"name\":\"code\",\"advanced\":false,\"type\":\"code\",\"list\":false},\"_type\":\"CustomComponent\",\"url\":{\"required\":true,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"password\":false,\"name\":\"url\",\"display_name\":\"url\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"str\",\"list\":false}},\"description\":null,\"base_classes\":[\"str\"],\"display_name\":\"URL Input\",\"custom_fields\":{\"url\":null},\"output_types\":[\"str\"],\"documentation\":\"\",\"beta\":true,\"error\":null},\"id\":\"CustomComponent-OACE0\"},\"selected\":true,\"positionAbsolute\":{\"x\":-1155.9497945157625,\"y\":198.13583204151553},\"dragging\":false},{\"width\":384,\"height\":329,\"id\":\"CustomComponent-whsQ5\",\"type\":\"genericNode\",\"position\":{\"x\":1396.5574076376327,\"y\":694.8308714574463},\"data\":{\"type\":\"CustomComponent\",\"node\":{\"template\":{\"code\":{\"dynamic\":true,\"required\":true,\"placeholder\":\"\",\"show\":true,\"multiline\":true,\"value\":\"from langflow import CustomComponent\\n\\nclass ListToMarkdownBullets(CustomComponent):\\n display_name: str = \\\"List to Bullets\\\"\\n description: str = \\\"Converts a Python list into Markdown bullet points.\\\"\\n\\n def build(self, items: list) -> str:\\n markdown_bullets = '\\\\n'.join(f'* {item}' for item in items)\\n return markdown_bullets\\n\",\"password\":false,\"name\":\"code\",\"advanced\":false,\"type\":\"code\",\"list\":false},\"_type\":\"CustomComponent\",\"items\":{\"required\":true,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"password\":false,\"name\":\"items\",\"display_name\":\"items\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"list\",\"list\":true}},\"description\":\"Converts a Python list into Markdown bullet points.\",\"base_classes\":[\"str\"],\"display_name\":\"List to Bullets\",\"custom_fields\":{\"items\":null},\"output_types\":[\"str\"],\"documentation\":\"\",\"beta\":true,\"error\":null},\"id\":\"CustomComponent-whsQ5\"},\"selected\":true,\"positionAbsolute\":{\"x\":1396.5574076376327,\"y\":694.8308714574463},\"dragging\":false}],\"edges\":[{\"source\":\"CustomComponent-FGzJJ\",\"sourceHandle\":\"{œbaseClassesœ:[œDataœ],œdataTypeœ:œCustomComponentœ,œidœ:œCustomComponent-FGzJJœ}\",\"target\":\"CustomComponent-f6nOg\",\"targetHandle\":\"{œfieldNameœ:œhtml_contentœ,œidœ:œCustomComponent-f6nOgœ,œinputTypesœ:null,œtypeœ:œDataœ}\",\"data\":{\"targetHandle\":{\"fieldName\":\"html_content\",\"id\":\"CustomComponent-f6nOg\",\"inputTypes\":null,\"type\":\"Data\"},\"sourceHandle\":{\"baseClasses\":[\"Data\"],\"dataType\":\"CustomComponent\",\"id\":\"CustomComponent-FGzJJ\"}},\"style\":{\"stroke\":\"#555\"},\"className\":\"stroke-foreground stroke-connection\",\"animated\":false,\"id\":\"reactflow__edge-CustomComponent-FGzJJ{œbaseClassesœ:[œDataœ],œdataTypeœ:œCustomComponentœ,œidœ:œCustomComponent-FGzJJœ}-CustomComponent-f6nOg{œfieldNameœ:œhtml_contentœ,œidœ:œCustomComponent-f6nOgœ,œinputTypesœ:null,œtypeœ:œDataœ}\",\"selected\":true},{\"source\":\"CustomComponent-FGzJJ\",\"sourceHandle\":\"{œbaseClassesœ:[œDataœ],œdataTypeœ:œCustomComponentœ,œidœ:œCustomComponent-FGzJJœ}\",\"target\":\"CustomComponent-0XtUN\",\"targetHandle\":\"{œfieldNameœ:œhtml_contentœ,œidœ:œCustomComponent-0XtUNœ,œinputTypesœ:null,œtypeœ:œDataœ}\",\"data\":{\"targetHandle\":{\"fieldName\":\"html_content\",\"id\":\"CustomComponent-0XtUN\",\"inputTypes\":null,\"type\":\"Data\"},\"sourceHandle\":{\"baseClasses\":[\"Data\"],\"dataType\":\"CustomComponent\",\"id\":\"CustomComponent-FGzJJ\"}},\"style\":{\"stroke\":\"#555\"},\"className\":\"stroke-foreground stroke-connection\",\"animated\":false,\"id\":\"reactflow__edge-CustomComponent-FGzJJ{œbaseClassesœ:[œDataœ],œdataTypeœ:œCustomComponentœ,œidœ:œCustomComponent-FGzJJœ}-CustomComponent-0XtUN{œfieldNameœ:œhtml_contentœ,œidœ:œCustomComponent-0XtUNœ,œinputTypesœ:null,œtypeœ:œDataœ}\",\"selected\":true},{\"source\":\"CustomComponent-0XtUN\",\"sourceHandle\":\"{œbaseClassesœ:[œDataœ],œdataTypeœ:œCustomComponentœ,œidœ:œCustomComponent-0XtUNœ}\",\"target\":\"CustomComponent-ODIcp\",\"targetHandle\":\"{œfieldNameœ:œsoupœ,œidœ:œCustomComponent-ODIcpœ,œinputTypesœ:null,œtypeœ:œDataœ}\",\"data\":{\"targetHandle\":{\"fieldName\":\"soup\",\"id\":\"CustomComponent-ODIcp\",\"inputTypes\":null,\"type\":\"Data\"},\"sourceHandle\":{\"baseClasses\":[\"Data\"],\"dataType\":\"CustomComponent\",\"id\":\"CustomComponent-0XtUN\"}},\"style\":{\"stroke\":\"#555\"},\"className\":\"stroke-foreground stroke-connection\",\"animated\":false,\"id\":\"reactflow__edge-CustomComponent-0XtUN{œbaseClassesœ:[œDataœ],œdataTypeœ:œCustomComponentœ,œidœ:œCustomComponent-0XtUNœ}-CustomComponent-ODIcp{œfieldNameœ:œsoupœ,œidœ:œCustomComponent-ODIcpœ,œinputTypesœ:null,œtypeœ:œDataœ}\",\"selected\":true},{\"source\":\"CustomComponent-OACE0\",\"sourceHandle\":\"{œbaseClassesœ:[œstrœ],œdataTypeœ:œCustomComponentœ,œidœ:œCustomComponent-OACE0œ}\",\"target\":\"CustomComponent-FGzJJ\",\"targetHandle\":\"{œfieldNameœ:œurlœ,œidœ:œCustomComponent-FGzJJœ,œinputTypesœ:[œDataœ,œstrœ],œtypeœ:œstrœ}\",\"data\":{\"targetHandle\":{\"fieldName\":\"url\",\"id\":\"CustomComponent-FGzJJ\",\"inputTypes\":[\"Data\",\"str\"],\"type\":\"str\"},\"sourceHandle\":{\"baseClasses\":[\"str\"],\"dataType\":\"CustomComponent\",\"id\":\"CustomComponent-OACE0\"}},\"style\":{\"stroke\":\"#555\"},\"className\":\"stroke-foreground stroke-connection\",\"animated\":false,\"id\":\"reactflow__edge-CustomComponent-OACE0{œbaseClassesœ:[œstrœ],œdataTypeœ:œCustomComponentœ,œidœ:œCustomComponent-OACE0œ}-CustomComponent-FGzJJ{œfieldNameœ:œurlœ,œidœ:œCustomComponent-FGzJJœ,œinputTypesœ:[œDataœ,œstrœ],œtypeœ:œstrœ}\",\"selected\":true},{\"source\":\"CustomComponent-OACE0\",\"sourceHandle\":\"{œbaseClassesœ:[œstrœ],œdataTypeœ:œCustomComponentœ,œidœ:œCustomComponent-OACE0œ}\",\"target\":\"PromptTemplate-H9Udy\",\"targetHandle\":\"{œfieldNameœ:œurlœ,œidœ:œPromptTemplate-H9Udyœ,œinputTypesœ:[œDocumentœ,œBaseOutputParserœ],œtypeœ:œstrœ}\",\"data\":{\"targetHandle\":{\"fieldName\":\"url\",\"id\":\"PromptTemplate-H9Udy\",\"inputTypes\":[\"Document\",\"BaseOutputParser\"],\"type\":\"str\"},\"sourceHandle\":{\"baseClasses\":[\"str\"],\"dataType\":\"CustomComponent\",\"id\":\"CustomComponent-OACE0\"}},\"style\":{\"stroke\":\"#555\"},\"className\":\"stroke-foreground stroke-connection\",\"animated\":false,\"id\":\"reactflow__edge-CustomComponent-OACE0{œbaseClassesœ:[œstrœ],œdataTypeœ:œCustomComponentœ,œidœ:œCustomComponent-OACE0œ}-PromptTemplate-H9Udy{œfieldNameœ:œurlœ,œidœ:œPromptTemplate-H9Udyœ,œinputTypesœ:[œDocumentœ,œBaseOutputParserœ],œtypeœ:œstrœ}\",\"selected\":true},{\"source\":\"CustomComponent-ODIcp\",\"sourceHandle\":\"{œbaseClassesœ:[œlistœ],œdataTypeœ:œCustomComponentœ,œidœ:œCustomComponent-ODIcpœ}\",\"target\":\"CustomComponent-whsQ5\",\"targetHandle\":\"{œfieldNameœ:œitemsœ,œidœ:œCustomComponent-whsQ5œ,œinputTypesœ:null,œtypeœ:œlistœ}\",\"data\":{\"targetHandle\":{\"fieldName\":\"items\",\"id\":\"CustomComponent-whsQ5\",\"inputTypes\":null,\"type\":\"list\"},\"sourceHandle\":{\"baseClasses\":[\"list\"],\"dataType\":\"CustomComponent\",\"id\":\"CustomComponent-ODIcp\"}},\"style\":{\"stroke\":\"#555\"},\"className\":\"stroke-foreground stroke-connection\",\"animated\":false,\"id\":\"reactflow__edge-CustomComponent-ODIcp{œbaseClassesœ:[œlistœ],œdataTypeœ:œCustomComponentœ,œidœ:œCustomComponent-ODIcpœ}-CustomComponent-whsQ5{œfieldNameœ:œitemsœ,œidœ:œCustomComponent-whsQ5œ,œinputTypesœ:null,œtypeœ:œlistœ}\",\"selected\":true},{\"source\":\"CustomComponent-whsQ5\",\"sourceHandle\":\"{œbaseClassesœ:[œstrœ],œdataTypeœ:œCustomComponentœ,œidœ:œCustomComponent-whsQ5œ}\",\"target\":\"PromptTemplate-H9Udy\",\"targetHandle\":\"{œfieldNameœ:œhtml_linksœ,œidœ:œPromptTemplate-H9Udyœ,œinputTypesœ:[œDocumentœ,œBaseOutputParserœ],œtypeœ:œstrœ}\",\"data\":{\"targetHandle\":{\"fieldName\":\"html_links\",\"id\":\"PromptTemplate-H9Udy\",\"inputTypes\":[\"Document\",\"BaseOutputParser\"],\"type\":\"str\"},\"sourceHandle\":{\"baseClasses\":[\"str\"],\"dataType\":\"CustomComponent\",\"id\":\"CustomComponent-whsQ5\"}},\"style\":{\"stroke\":\"#555\"},\"className\":\"stroke-foreground stroke-connection\",\"animated\":false,\"id\":\"reactflow__edge-CustomComponent-whsQ5{œbaseClassesœ:[œstrœ],œdataTypeœ:œCustomComponentœ,œidœ:œCustomComponent-whsQ5œ}-PromptTemplate-H9Udy{œfieldNameœ:œhtml_linksœ,œidœ:œPromptTemplate-H9Udyœ,œinputTypesœ:[œDocumentœ,œBaseOutputParserœ],œtypeœ:œstrœ}\",\"selected\":true},{\"source\":\"CustomComponent-f6nOg\",\"sourceHandle\":\"{œbaseClassesœ:[œstrœ],œdataTypeœ:œCustomComponentœ,œidœ:œCustomComponent-f6nOgœ}\",\"target\":\"PromptTemplate-H9Udy\",\"targetHandle\":\"{œfieldNameœ:œhtml_markdownœ,œidœ:œPromptTemplate-H9Udyœ,œinputTypesœ:[œDocumentœ,œBaseOutputParserœ],œtypeœ:œstrœ}\",\"data\":{\"targetHandle\":{\"fieldName\":\"html_markdown\",\"id\":\"PromptTemplate-H9Udy\",\"inputTypes\":[\"Document\",\"BaseOutputParser\"],\"type\":\"str\"},\"sourceHandle\":{\"baseClasses\":[\"str\"],\"dataType\":\"CustomComponent\",\"id\":\"CustomComponent-f6nOg\"}},\"style\":{\"stroke\":\"#555\"},\"className\":\"stroke-foreground stroke-connection\",\"animated\":false,\"id\":\"reactflow__edge-CustomComponent-f6nOg{œbaseClassesœ:[œstrœ],œdataTypeœ:œCustomComponentœ,œidœ:œCustomComponent-f6nOgœ}-PromptTemplate-H9Udy{œfieldNameœ:œhtml_markdownœ,œidœ:œPromptTemplate-H9Udyœ,œinputTypesœ:[œDocumentœ,œBaseOutputParserœ],œtypeœ:œstrœ}\",\"selected\":true}],\"viewport\":{\"x\":343.0346131188585,\"y\":341.89843948642147,\"zoom\":0.24148408223121196}},\"is_component\":false,\"name\":\"Fluffy Ptolemy\",\"description\":\"\",\"id\":\"W5oNW\"}}},\"id\":\"GroupNode-WXPMk\",\"position\":{\"x\":873.0737834322758,\"y\":598.8401015776466},\"type\":\"genericNode\",\"selected\":true,\"dragging\":false,\"positionAbsolute\":{\"x\":873.0737834322758,\"y\":598.8401015776466}}],\"edges\":[{\"source\":\"ChatOpenAI-VSAdc\",\"sourceHandle\":\"{œbaseClassesœ:[œBaseLanguageModelœ,œChatOpenAIœ,œBaseChatModelœ,œBaseLLMœ],œdataTypeœ:œChatOpenAIœ,œidœ:œChatOpenAI-VSAdcœ}\",\"target\":\"LLMChain-H7PBy\",\"targetHandle\":\"{œfieldNameœ:œllmœ,œidœ:œLLMChain-H7PByœ,œinputTypesœ:null,œtypeœ:œBaseLanguageModelœ}\",\"data\":{\"targetHandle\":{\"fieldName\":\"llm\",\"id\":\"LLMChain-H7PBy\",\"inputTypes\":null,\"type\":\"BaseLanguageModel\"},\"sourceHandle\":{\"baseClasses\":[\"BaseLanguageModel\",\"ChatOpenAI\",\"BaseChatModel\",\"BaseLLM\"],\"dataType\":\"ChatOpenAI\",\"id\":\"ChatOpenAI-VSAdc\"}},\"style\":{\"stroke\":\"#555\"},\"className\":\"stroke-gray-900 stroke-connection\",\"animated\":false,\"id\":\"reactflow__edge-ChatOpenAI-VSAdc{œbaseClassesœ:[œBaseLanguageModelœ,œChatOpenAIœ,œBaseChatModelœ,œBaseLLMœ],œdataTypeœ:œChatOpenAIœ,œidœ:œChatOpenAI-VSAdcœ}-LLMChain-H7PBy{œfieldNameœ:œllmœ,œidœ:œLLMChain-H7PByœ,œinputTypesœ:null,œtypeœ:œBaseLanguageModelœ}\"},{\"source\":\"GroupNode-WXPMk\",\"sourceHandle\":\"{œbaseClassesœ:[œStringPromptTemplateœ,œBasePromptTemplateœ,œPromptTemplateœ],œdataTypeœ:œPromptTemplateœ,œidœ:œGroupNode-WXPMkœ}\",\"target\":\"LLMChain-H7PBy\",\"targetHandle\":\"{œfieldNameœ:œpromptœ,œidœ:œLLMChain-H7PByœ,œinputTypesœ:null,œtypeœ:œBasePromptTemplateœ}\",\"data\":{\"targetHandle\":{\"fieldName\":\"prompt\",\"id\":\"LLMChain-H7PBy\",\"inputTypes\":null,\"type\":\"BasePromptTemplate\"},\"sourceHandle\":{\"baseClasses\":[\"StringPromptTemplate\",\"BasePromptTemplate\",\"PromptTemplate\"],\"dataType\":\"PromptTemplate\",\"id\":\"GroupNode-WXPMk\"}},\"style\":{\"stroke\":\"#555\"},\"className\":\"stroke-gray-900 stroke-connection\",\"animated\":false,\"id\":\"reactflow__edge-GroupNode-WXPMk{œbaseClassesœ:[œStringPromptTemplateœ,œBasePromptTemplateœ,œPromptTemplateœ],œdataTypeœ:œPromptTemplateœ,œidœ:œGroupNode-WXPMkœ}-LLMChain-H7PBy{œfieldNameœ:œpromptœ,œidœ:œLLMChain-H7PByœ,œinputTypesœ:null,œtypeœ:œBasePromptTemplateœ}\"}],\"viewport\":{\"x\":-348.6161822813733,\"y\":121.40545291211492,\"zoom\":0.6801854262029781}},\"is_component\":false,\"updated_at\":\"2023-12-04T23:22:27.784647\",\"folder\":null,\"id\":\"efc3bf27-3cf1-4561-9a83-3df347572440\",\"user_id\":\"d253bfba-6368-44dc-85f7-0d6da9e45968\"},{\"name\":\"Sad Joliot\",\"description\":\"Navigate the Networks of Conversation.\",\"data\":{\"nodes\":[{\"width\":384,\"height\":338,\"id\":\"LLMChain-RQsU1\",\"type\":\"genericNode\",\"position\":{\"x\":514.4440482813261,\"y\":528.164086188516},\"data\":{\"type\":\"LLMChain\",\"node\":{\"template\":{\"code\":{\"dynamic\":true,\"required\":true,\"placeholder\":\"\",\"show\":false,\"multiline\":true,\"value\":\"from typing import Callable, Optional, Union\\n\\nfrom langchain.chains import LLMChain\\n\\nfrom langflow import CustomComponent\\nfrom langflow.field_typing import (\\n BaseLanguageModel,\\n BaseMemory,\\n BasePromptTemplate,\\n Chain,\\n)\\n\\n\\nclass LLMChainComponent(CustomComponent):\\n display_name = \\\"LLMChain\\\"\\n description = \\\"Chain to run queries against LLMs\\\"\\n\\n def build_config(self):\\n return {\\n \\\"prompt\\\": {\\\"display_name\\\": \\\"Prompt\\\"},\\n \\\"llm\\\": {\\\"display_name\\\": \\\"LLM\\\"},\\n \\\"memory\\\": {\\\"display_name\\\": \\\"Memory\\\"},\\n \\\"code\\\": {\\\"show\\\": False},\\n }\\n\\n def build(\\n self,\\n prompt: BasePromptTemplate,\\n llm: BaseLanguageModel,\\n memory: Optional[BaseMemory] = None,\\n ) -> Union[Chain, Callable]:\\n return LLMChain(prompt=prompt, llm=llm, memory=memory)\\n\",\"password\":false,\"name\":\"code\",\"advanced\":false,\"type\":\"code\",\"list\":false},\"_type\":\"CustomComponent\",\"llm\":{\"required\":true,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"password\":false,\"name\":\"llm\",\"display_name\":\"LLM\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"BaseLanguageModel\",\"list\":false},\"memory\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"password\":false,\"name\":\"memory\",\"display_name\":\"Memory\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"BaseMemory\",\"list\":false},\"prompt\":{\"required\":true,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"password\":false,\"name\":\"prompt\",\"display_name\":\"Prompt\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"BasePromptTemplate\",\"list\":false}},\"description\":\"Chain to run queries against LLMs\",\"base_classes\":[\"Chain\",\"Callable\"],\"display_name\":\"LLMChain\",\"custom_fields\":{\"llm\":null,\"memory\":null,\"prompt\":null},\"output_types\":[\"LLMChain\"],\"documentation\":\"\",\"beta\":true,\"error\":null},\"id\":\"LLMChain-RQsU1\"},\"selected\":false,\"positionAbsolute\":{\"x\":514.4440482813261,\"y\":528.164086188516}},{\"width\":384,\"height\":626,\"id\":\"ChatOpenAI-NTTcv\",\"type\":\"genericNode\",\"position\":{\"x\":-221.33853765781578,\"y\":-35.48749923706055},\"data\":{\"type\":\"ChatOpenAI\",\"node\":{\"template\":{\"callbacks\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"password\":false,\"name\":\"callbacks\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"langchain_core.callbacks.base.BaseCallbackHandler\",\"list\":true},\"async_client\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"password\":false,\"name\":\"async_client\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"Any\",\"list\":false},\"cache\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"password\":false,\"name\":\"cache\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"bool\",\"list\":false},\"client\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"password\":false,\"name\":\"client\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"Any\",\"list\":false},\"default_headers\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"password\":false,\"name\":\"default_headers\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"dict\",\"list\":false},\"default_query\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"password\":false,\"name\":\"default_query\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"dict\",\"list\":false},\"http_client\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"password\":false,\"name\":\"http_client\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"Any\",\"list\":false},\"max_retries\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"value\":2,\"password\":false,\"name\":\"max_retries\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"int\",\"list\":false},\"max_tokens\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"password\":true,\"name\":\"max_tokens\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"int\",\"list\":false},\"metadata\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"password\":false,\"name\":\"metadata\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"dict\",\"list\":false},\"model_kwargs\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"password\":false,\"name\":\"model_kwargs\",\"advanced\":true,\"dynamic\":false,\"info\":\"\",\"type\":\"dict\",\"list\":false},\"model_name\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"value\":\"gpt-4-1106-preview\",\"password\":false,\"options\":[\"gpt-4-1106-preview\",\"gpt-4\",\"gpt-4-32k\",\"gpt-3.5-turbo\",\"gpt-3.5-turbo-16k\"],\"name\":\"model_name\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"str\",\"list\":true},\"n\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"value\":1,\"password\":false,\"name\":\"n\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"int\",\"list\":false},\"openai_api_base\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"password\":false,\"name\":\"openai_api_base\",\"display_name\":\"OpenAI API Base\",\"advanced\":false,\"dynamic\":false,\"info\":\"\\nThe base URL of the OpenAI API. Defaults to https://api.openai.com/v1.\\n\\nYou can change this to use other APIs like JinaChat, LocalAI and Prem.\\n\",\"type\":\"str\",\"list\":false},\"openai_api_key\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"value\":\"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\",\"password\":true,\"name\":\"openai_api_key\",\"display_name\":\"OpenAI API Key\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"str\",\"list\":false},\"openai_organization\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"password\":false,\"name\":\"openai_organization\",\"display_name\":\"OpenAI Organization\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"str\",\"list\":false},\"openai_proxy\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"password\":false,\"name\":\"openai_proxy\",\"display_name\":\"OpenAI Proxy\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"str\",\"list\":false},\"request_timeout\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"password\":false,\"name\":\"request_timeout\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"float\",\"list\":false},\"streaming\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"value\":false,\"password\":false,\"name\":\"streaming\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"bool\",\"list\":false},\"tags\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"password\":false,\"name\":\"tags\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"str\",\"list\":true},\"temperature\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"value\":\"0.1\",\"password\":false,\"name\":\"temperature\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"float\",\"list\":false},\"tiktoken_model_name\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"password\":false,\"name\":\"tiktoken_model_name\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"str\",\"list\":false},\"verbose\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"value\":false,\"password\":false,\"name\":\"verbose\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"bool\",\"list\":false},\"_type\":\"ChatOpenAI\"},\"description\":\"`OpenAI` Chat large language models API.\",\"base_classes\":[\"BaseLanguageModel\",\"ChatOpenAI\",\"BaseChatModel\",\"BaseLLM\"],\"display_name\":\"ChatOpenAI\",\"custom_fields\":{},\"output_types\":[],\"documentation\":\"https://python.langchain.com/docs/modules/model_io/models/chat/integrations/openai\",\"beta\":false,\"error\":null},\"id\":\"ChatOpenAI-NTTcv\"},\"selected\":false,\"positionAbsolute\":{\"x\":-221.33853765781578,\"y\":-35.48749923706055}},{\"width\":384,\"height\":374,\"id\":\"PromptTemplate-VELMV\",\"type\":\"genericNode\",\"position\":{\"x\":-222,\"y\":682.560723386973},\"data\":{\"id\":\"PromptTemplate-VELMV\",\"type\":\"PromptTemplate\",\"node\":{\"output_types\":[],\"display_name\":\"Web Scraper\",\"documentation\":\"\",\"base_classes\":[\"StringPromptTemplate\",\"BasePromptTemplate\",\"PromptTemplate\"],\"description\":\"Fetch and parse text and links from a given URL.\",\"template\":{\"code_CustomComponent-f6nOg\":{\"dynamic\":true,\"required\":true,\"placeholder\":\"\",\"show\":false,\"multiline\":true,\"value\":\"from langflow import CustomComponent\\nfrom langflow.field_typing import Data\\nimport html2text\\n\\nclass ConvertHTMLToMarkdown(CustomComponent):\\n display_name: str = \\\"HTML to Markdown\\\"\\n description: str = \\\"Converts HTML content to Markdown format.\\\"\\n\\n def build(self, html_content: Data, ignore_links: bool = False) -> str:\\n converter = html2text.HTML2Text()\\n converter.ignore_links = ignore_links\\n markdown_text = converter.handle(html_content)\\n self.status = markdown_text\\n return markdown_text\\n\",\"password\":false,\"name\":\"code\",\"advanced\":false,\"type\":\"code\",\"list\":false,\"proxy\":{\"id\":\"CustomComponent-f6nOg\",\"field\":\"code\"},\"display_name\":\"Code\"},\"ignore_links_CustomComponent-f6nOg\":{\"required\":true,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"value\":false,\"password\":false,\"name\":\"ignore_links\",\"display_name\":\"ignore_links\",\"advanced\":true,\"dynamic\":false,\"info\":\"\",\"type\":\"bool\",\"list\":false,\"proxy\":{\"id\":\"CustomComponent-f6nOg\",\"field\":\"ignore_links\"}},\"code_CustomComponent-FGzJJ\":{\"dynamic\":true,\"required\":true,\"placeholder\":\"\",\"show\":false,\"multiline\":true,\"value\":\"from langflow import CustomComponent\\nfrom langflow.field_typing import Data\\nimport requests\\n\\nclass FetchHTMLContent(CustomComponent):\\n display_name: str = \\\"Fetch HTML\\\"\\n description: str = \\\"Fetches HTML content from a specified URL.\\\"\\n \\n def build_config(self):\\n return {\\\"url\\\": {\\\"input_types\\\": [\\\"Data\\\", \\\"str\\\"]}} \\n\\n def build(self, url: str) -> Data:\\n response = requests.get(url)\\n self.status = str(response) + \\\"\\\\n\\\\n\\\" + response.text\\n return response.text\\n\",\"password\":false,\"name\":\"code\",\"advanced\":false,\"type\":\"code\",\"list\":false,\"proxy\":{\"id\":\"CustomComponent-FGzJJ\",\"field\":\"code\"},\"display_name\":\"Code\"},\"code_CustomComponent-0XtUN\":{\"dynamic\":true,\"required\":true,\"placeholder\":\"\",\"show\":false,\"multiline\":true,\"value\":\"from bs4 import BeautifulSoup\\nfrom langflow import CustomComponent\\nfrom langflow.field_typing import Data\\n\\nclass ParseHTMLContent(CustomComponent):\\n display_name: str = \\\"Parse HTML\\\"\\n description: str = \\\"Parses HTML content using Beautiful Soup.\\\"\\n\\n def build(self, html_content: Data) -> Data:\\n soup = BeautifulSoup(html_content, 'html.parser')\\n self.status = soup\\n return soup\\n\",\"password\":false,\"name\":\"code\",\"advanced\":false,\"type\":\"code\",\"list\":false,\"proxy\":{\"id\":\"CustomComponent-0XtUN\",\"field\":\"code\"},\"display_name\":\"Code\"},\"code_CustomComponent-ODIcp\":{\"dynamic\":true,\"required\":true,\"placeholder\":\"\",\"show\":false,\"multiline\":true,\"value\":\"from langflow import CustomComponent\\nfrom langflow.field_typing import Data\\n\\nclass ExtractHyperlinks(CustomComponent):\\n display_name: str = \\\"Extract Hyperlinks\\\"\\n description: str = \\\"Extracts hyperlinks from parsed HTML content.\\\"\\n\\n def build(self, soup: Data) -> list:\\n links = [link.get('href') for link in soup.find_all('a')]\\n self.status = links\\n return links\\n\",\"password\":false,\"name\":\"code\",\"advanced\":false,\"type\":\"code\",\"list\":false,\"proxy\":{\"id\":\"CustomComponent-ODIcp\",\"field\":\"code\"},\"display_name\":\"Code\"},\"output_parser_PromptTemplate-H9Udy\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"password\":false,\"name\":\"output_parser\",\"advanced\":false,\"dynamic\":true,\"info\":\"\",\"type\":\"BaseOutputParser\",\"list\":false,\"proxy\":{\"id\":\"PromptTemplate-H9Udy\",\"field\":\"output_parser\"},\"display_name\":\"Output Parser\"},\"input_types_PromptTemplate-H9Udy\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"password\":false,\"name\":\"input_types\",\"advanced\":true,\"dynamic\":true,\"info\":\"\",\"type\":\"dict\",\"list\":false,\"proxy\":{\"id\":\"PromptTemplate-H9Udy\",\"field\":\"input_types\"},\"display_name\":\"Input Types\"},\"input_variables_PromptTemplate-H9Udy\":{\"required\":true,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"password\":false,\"name\":\"input_variables\",\"advanced\":false,\"dynamic\":true,\"info\":\"\",\"type\":\"str\",\"list\":true,\"value\":[\"url\",\"html_markdown\",\"html_links\",\"query\"],\"proxy\":{\"id\":\"PromptTemplate-H9Udy\",\"field\":\"input_variables\"},\"display_name\":\"Input Variables\"},\"partial_variables_PromptTemplate-H9Udy\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"password\":false,\"name\":\"partial_variables\",\"advanced\":true,\"dynamic\":true,\"info\":\"\",\"type\":\"dict\",\"list\":false,\"proxy\":{\"id\":\"PromptTemplate-H9Udy\",\"field\":\"partial_variables\"},\"display_name\":\"Partial Variables\"},\"template_PromptTemplate-H9Udy\":{\"required\":true,\"placeholder\":\"\",\"show\":true,\"multiline\":true,\"password\":false,\"name\":\"template\",\"advanced\":true,\"dynamic\":true,\"info\":\"\",\"type\":\"prompt\",\"list\":false,\"value\":\"Below is the HTML content (as markdown) and hyperlinks extracted from {url}\\n\\n---\\n\\nContent:\\n\\n{html_markdown}\\n\\n---\\n\\nLinks:\\n\\n{html_links}\\n\\n---\\n\\nAnswer the user query as best as possible.\\n\\nUser query:\\n\\n{query}\\n\\nAnswer:\\n\",\"proxy\":{\"id\":\"PromptTemplate-H9Udy\",\"field\":\"template\"},\"display_name\":\"Template\"},\"template_format_PromptTemplate-H9Udy\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"value\":\"f-string\",\"password\":false,\"name\":\"template_format\",\"advanced\":true,\"dynamic\":true,\"info\":\"\",\"type\":\"str\",\"list\":false,\"proxy\":{\"id\":\"PromptTemplate-H9Udy\",\"field\":\"template_format\"},\"display_name\":\"Template Format\"},\"validate_template_PromptTemplate-H9Udy\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"value\":false,\"password\":false,\"name\":\"validate_template\",\"advanced\":true,\"dynamic\":true,\"info\":\"\",\"type\":\"bool\",\"list\":false,\"proxy\":{\"id\":\"PromptTemplate-H9Udy\",\"field\":\"validate_template\"},\"display_name\":\"Validate Template\"},\"query_PromptTemplate-H9Udy\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":true,\"value\":\"\",\"password\":false,\"name\":\"query\",\"display_name\":\"query\",\"advanced\":false,\"input_types\":[\"Document\",\"BaseOutputParser\"],\"dynamic\":false,\"info\":\"\",\"type\":\"str\",\"list\":false,\"proxy\":{\"id\":\"PromptTemplate-H9Udy\",\"field\":\"query\"}},\"code_CustomComponent-OACE0\":{\"dynamic\":true,\"required\":true,\"placeholder\":\"\",\"show\":false,\"multiline\":true,\"value\":\"from langflow import CustomComponent\\nfrom langflow.field_typing import Data\\nimport requests\\n\\nclass FetchHTMLContent(CustomComponent):\\n display_name: str = \\\"URL Input\\\"\\n\\n def build(self, url: str) -> str:\\n return url\\n\",\"password\":false,\"name\":\"code\",\"advanced\":false,\"type\":\"code\",\"list\":false,\"proxy\":{\"id\":\"CustomComponent-OACE0\",\"field\":\"code\"},\"display_name\":\"Code\"},\"url_CustomComponent-OACE0\":{\"required\":true,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"password\":false,\"name\":\"url\",\"display_name\":\"url\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"str\",\"list\":false,\"proxy\":{\"id\":\"CustomComponent-OACE0\",\"field\":\"url\"},\"value\":\"https://paperswithcode.com/\"},\"code_CustomComponent-whsQ5\":{\"dynamic\":true,\"required\":true,\"placeholder\":\"\",\"show\":false,\"multiline\":true,\"value\":\"from langflow import CustomComponent\\n\\nclass ListToMarkdownBullets(CustomComponent):\\n display_name: str = \\\"List to Bullets\\\"\\n description: str = \\\"Converts a Python list into Markdown bullet points.\\\"\\n\\n def build(self, items: list) -> str:\\n markdown_bullets = '\\\\n'.join(f'* {item}' for item in items)\\n return markdown_bullets\\n\",\"password\":false,\"name\":\"code\",\"advanced\":false,\"type\":\"code\",\"list\":false,\"proxy\":{\"id\":\"CustomComponent-whsQ5\",\"field\":\"code\"},\"display_name\":\"Code\"}},\"flow\":{\"data\":{\"nodes\":[{\"width\":384,\"height\":405,\"id\":\"CustomComponent-f6nOg\",\"type\":\"genericNode\",\"position\":{\"x\":665.2835942536854,\"y\":-371.7823429271119},\"data\":{\"type\":\"CustomComponent\",\"node\":{\"template\":{\"code\":{\"dynamic\":true,\"required\":true,\"placeholder\":\"\",\"show\":true,\"multiline\":true,\"value\":\"from langflow import CustomComponent\\nfrom langflow.field_typing import Data\\nimport html2text\\n\\nclass ConvertHTMLToMarkdown(CustomComponent):\\n display_name: str = \\\"HTML to Markdown\\\"\\n description: str = \\\"Converts HTML content to Markdown format.\\\"\\n\\n def build(self, html_content: Data, ignore_links: bool = False) -> str:\\n converter = html2text.HTML2Text()\\n converter.ignore_links = ignore_links\\n markdown_text = converter.handle(html_content)\\n self.status = markdown_text\\n return markdown_text\\n\",\"password\":false,\"name\":\"code\",\"advanced\":false,\"type\":\"code\",\"list\":false},\"_type\":\"CustomComponent\",\"html_content\":{\"required\":true,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"password\":false,\"name\":\"html_content\",\"display_name\":\"html_content\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"Data\",\"list\":false},\"ignore_links\":{\"required\":true,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"value\":false,\"password\":false,\"name\":\"ignore_links\",\"display_name\":\"ignore_links\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"bool\",\"list\":false}},\"description\":\"Converts HTML content to Markdown format.\",\"base_classes\":[\"str\"],\"display_name\":\"HTML to Markdown\",\"custom_fields\":{\"html_content\":null,\"ignore_links\":null},\"output_types\":[\"str\"],\"documentation\":\"\",\"beta\":true,\"error\":null},\"id\":\"CustomComponent-f6nOg\"},\"selected\":true,\"positionAbsolute\":{\"x\":665.2835942536854,\"y\":-371.7823429271119},\"dragging\":false},{\"width\":384,\"height\":375,\"id\":\"CustomComponent-FGzJJ\",\"type\":\"genericNode\",\"position\":{\"x\":-464.4553400967736,\"y\":-225.62715888255525},\"data\":{\"type\":\"CustomComponent\",\"node\":{\"template\":{\"code\":{\"dynamic\":true,\"required\":true,\"placeholder\":\"\",\"show\":true,\"multiline\":true,\"value\":\"from langflow import CustomComponent\\nfrom langflow.field_typing import Data\\nimport requests\\n\\nclass FetchHTMLContent(CustomComponent):\\n display_name: str = \\\"Fetch HTML\\\"\\n description: str = \\\"Fetches HTML content from a specified URL.\\\"\\n \\n def build_config(self):\\n return {\\\"url\\\": {\\\"input_types\\\": [\\\"Data\\\", \\\"str\\\"]}} \\n\\n def build(self, url: str) -> Data:\\n response = requests.get(url)\\n self.status = str(response) + \\\"\\\\n\\\\n\\\" + response.text\\n return response.text\\n\",\"password\":false,\"name\":\"code\",\"advanced\":false,\"type\":\"code\",\"list\":false},\"_type\":\"CustomComponent\",\"url\":{\"required\":true,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"password\":false,\"name\":\"url\",\"display_name\":\"url\",\"advanced\":false,\"input_types\":[\"Data\",\"str\"],\"dynamic\":false,\"info\":\"\",\"type\":\"str\",\"list\":false,\"value\":\"\"}},\"description\":\"Fetches HTML content from a specified URL.\",\"base_classes\":[\"Data\"],\"display_name\":\"Fetch HTML\",\"custom_fields\":{\"url\":null},\"output_types\":[\"Data\"],\"documentation\":\"\",\"beta\":true,\"error\":null},\"id\":\"CustomComponent-FGzJJ\"},\"selected\":true,\"dragging\":false,\"positionAbsolute\":{\"x\":-464.4553400967736,\"y\":-225.62715888255525}},{\"width\":384,\"height\":329,\"id\":\"CustomComponent-0XtUN\",\"type\":\"genericNode\",\"position\":{\"x\":214.00059169497604,\"y\":177.27071061129823},\"data\":{\"type\":\"CustomComponent\",\"node\":{\"template\":{\"code\":{\"dynamic\":true,\"required\":true,\"placeholder\":\"\",\"show\":true,\"multiline\":true,\"value\":\"from bs4 import BeautifulSoup\\nfrom langflow import CustomComponent\\nfrom langflow.field_typing import Data\\n\\nclass ParseHTMLContent(CustomComponent):\\n display_name: str = \\\"Parse HTML\\\"\\n description: str = \\\"Parses HTML content using Beautiful Soup.\\\"\\n\\n def build(self, html_content: Data) -> Data:\\n soup = BeautifulSoup(html_content, 'html.parser')\\n self.status = soup\\n return soup\\n\",\"password\":false,\"name\":\"code\",\"advanced\":false,\"type\":\"code\",\"list\":false},\"_type\":\"CustomComponent\",\"html_content\":{\"required\":true,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"password\":false,\"name\":\"html_content\",\"display_name\":\"html_content\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"Data\",\"list\":false}},\"description\":\"Parses HTML content using Beautiful Soup.\",\"base_classes\":[\"Data\"],\"display_name\":\"Parse HTML\",\"custom_fields\":{\"html_content\":null},\"output_types\":[\"Data\"],\"documentation\":\"\",\"beta\":true,\"error\":null},\"id\":\"CustomComponent-0XtUN\"},\"selected\":true,\"dragging\":false,\"positionAbsolute\":{\"x\":214.00059169497604,\"y\":177.27071061129823}},{\"width\":384,\"height\":329,\"id\":\"CustomComponent-ODIcp\",\"type\":\"genericNode\",\"position\":{\"x\":845.0502195222412,\"y\":366.54344452019404},\"data\":{\"type\":\"CustomComponent\",\"node\":{\"template\":{\"code\":{\"dynamic\":true,\"required\":true,\"placeholder\":\"\",\"show\":true,\"multiline\":true,\"value\":\"from langflow import CustomComponent\\nfrom langflow.field_typing import Data\\n\\nclass ExtractHyperlinks(CustomComponent):\\n display_name: str = \\\"Extract Hyperlinks\\\"\\n description: str = \\\"Extracts hyperlinks from parsed HTML content.\\\"\\n\\n def build(self, soup: Data) -> list:\\n links = [link.get('href') for link in soup.find_all('a')]\\n self.status = links\\n return links\\n\",\"password\":false,\"name\":\"code\",\"advanced\":false,\"type\":\"code\",\"list\":false},\"_type\":\"CustomComponent\",\"soup\":{\"required\":true,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"password\":false,\"name\":\"soup\",\"display_name\":\"soup\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"Data\",\"list\":false}},\"description\":\"Extracts hyperlinks from parsed HTML content.\",\"base_classes\":[\"list\"],\"display_name\":\"Extract Hyperlinks\",\"custom_fields\":{\"soup\":null},\"output_types\":[\"list\"],\"documentation\":\"\",\"beta\":true,\"error\":null},\"id\":\"CustomComponent-ODIcp\"},\"selected\":true,\"positionAbsolute\":{\"x\":845.0502195222412,\"y\":366.54344452019404},\"dragging\":false},{\"width\":384,\"height\":657,\"id\":\"PromptTemplate-H9Udy\",\"type\":\"genericNode\",\"position\":{\"x\":2230.389721706283,\"y\":584.4905083765256},\"data\":{\"type\":\"PromptTemplate\",\"node\":{\"template\":{\"output_parser\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"password\":false,\"name\":\"output_parser\",\"advanced\":false,\"dynamic\":true,\"info\":\"\",\"type\":\"BaseOutputParser\",\"list\":false},\"input_types\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"password\":false,\"name\":\"input_types\",\"advanced\":false,\"dynamic\":true,\"info\":\"\",\"type\":\"dict\",\"list\":false},\"input_variables\":{\"required\":true,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"password\":false,\"name\":\"input_variables\",\"advanced\":false,\"dynamic\":true,\"info\":\"\",\"type\":\"str\",\"list\":true,\"value\":[\"url\",\"html_markdown\",\"html_links\",\"query\"]},\"partial_variables\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"password\":false,\"name\":\"partial_variables\",\"advanced\":false,\"dynamic\":true,\"info\":\"\",\"type\":\"dict\",\"list\":false},\"template\":{\"required\":true,\"placeholder\":\"\",\"show\":true,\"multiline\":true,\"password\":false,\"name\":\"template\",\"advanced\":false,\"dynamic\":true,\"info\":\"\",\"type\":\"prompt\",\"list\":false,\"value\":\"Below is the HTML content (as markdown) and hyperlinks extracted from {url}\\n\\n---\\n\\nContent:\\n\\n{html_markdown}\\n\\n---\\n\\nLinks:\\n\\n{html_links}\\n\\n---\\n\\nAnswer the user query as best as possible.\\n\\nUser query:\\n\\n{query}\\n\\nAnswer:\\n\"},\"template_format\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"value\":\"f-string\",\"password\":false,\"name\":\"template_format\",\"advanced\":false,\"dynamic\":true,\"info\":\"\",\"type\":\"str\",\"list\":false},\"validate_template\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"value\":false,\"password\":false,\"name\":\"validate_template\",\"advanced\":false,\"dynamic\":true,\"info\":\"\",\"type\":\"bool\",\"list\":false},\"_type\":\"PromptTemplate\",\"url\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":true,\"value\":\"\",\"password\":false,\"name\":\"url\",\"display_name\":\"url\",\"advanced\":false,\"input_types\":[\"Document\",\"BaseOutputParser\"],\"dynamic\":false,\"info\":\"\",\"type\":\"str\",\"list\":false},\"html_markdown\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":true,\"value\":\"\",\"password\":false,\"name\":\"html_markdown\",\"display_name\":\"html_markdown\",\"advanced\":false,\"input_types\":[\"Document\",\"BaseOutputParser\"],\"dynamic\":false,\"info\":\"\",\"type\":\"str\",\"list\":false},\"html_links\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":true,\"value\":\"\",\"password\":false,\"name\":\"html_links\",\"display_name\":\"html_links\",\"advanced\":false,\"input_types\":[\"Document\",\"BaseOutputParser\"],\"dynamic\":false,\"info\":\"\",\"type\":\"str\",\"list\":false},\"query\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":true,\"value\":\"\",\"password\":false,\"name\":\"query\",\"display_name\":\"query\",\"advanced\":false,\"input_types\":[\"Document\",\"BaseOutputParser\"],\"dynamic\":false,\"info\":\"\",\"type\":\"str\",\"list\":false}},\"description\":\"A prompt template for a language model.\",\"base_classes\":[\"StringPromptTemplate\",\"BasePromptTemplate\",\"PromptTemplate\"],\"name\":\"\",\"display_name\":\"PromptTemplate\",\"documentation\":\"https://python.langchain.com/docs/modules/model_io/prompts/prompt_templates/\",\"custom_fields\":{\"\":[\"url\",\"html_markdown\",\"html_links\",\"query\"]},\"output_types\":[],\"full_path\":null,\"field_formatters\":{},\"beta\":false,\"error\":null},\"id\":\"PromptTemplate-H9Udy\"},\"selected\":true,\"positionAbsolute\":{\"x\":2230.389721706283,\"y\":584.4905083765256},\"dragging\":false},{\"width\":384,\"height\":347,\"id\":\"CustomComponent-OACE0\",\"type\":\"genericNode\",\"position\":{\"x\":-1155.9497945157625,\"y\":198.13583204151553},\"data\":{\"type\":\"CustomComponent\",\"node\":{\"template\":{\"code\":{\"dynamic\":true,\"required\":true,\"placeholder\":\"\",\"show\":true,\"multiline\":true,\"value\":\"from langflow import CustomComponent\\nfrom langflow.field_typing import Data\\nimport requests\\n\\nclass FetchHTMLContent(CustomComponent):\\n display_name: str = \\\"URL Input\\\"\\n\\n def build(self, url: str) -> str:\\n return url\\n\",\"password\":false,\"name\":\"code\",\"advanced\":false,\"type\":\"code\",\"list\":false},\"_type\":\"CustomComponent\",\"url\":{\"required\":true,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"password\":false,\"name\":\"url\",\"display_name\":\"url\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"str\",\"list\":false}},\"description\":null,\"base_classes\":[\"str\"],\"display_name\":\"URL Input\",\"custom_fields\":{\"url\":null},\"output_types\":[\"str\"],\"documentation\":\"\",\"beta\":true,\"error\":null},\"id\":\"CustomComponent-OACE0\"},\"selected\":true,\"positionAbsolute\":{\"x\":-1155.9497945157625,\"y\":198.13583204151553},\"dragging\":false},{\"width\":384,\"height\":329,\"id\":\"CustomComponent-whsQ5\",\"type\":\"genericNode\",\"position\":{\"x\":1396.5574076376327,\"y\":694.8308714574463},\"data\":{\"type\":\"CustomComponent\",\"node\":{\"template\":{\"code\":{\"dynamic\":true,\"required\":true,\"placeholder\":\"\",\"show\":true,\"multiline\":true,\"value\":\"from langflow import CustomComponent\\n\\nclass ListToMarkdownBullets(CustomComponent):\\n display_name: str = \\\"List to Bullets\\\"\\n description: str = \\\"Converts a Python list into Markdown bullet points.\\\"\\n\\n def build(self, items: list) -> str:\\n markdown_bullets = '\\\\n'.join(f'* {item}' for item in items)\\n return markdown_bullets\\n\",\"password\":false,\"name\":\"code\",\"advanced\":false,\"type\":\"code\",\"list\":false},\"_type\":\"CustomComponent\",\"items\":{\"required\":true,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"password\":false,\"name\":\"items\",\"display_name\":\"items\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"list\",\"list\":true}},\"description\":\"Converts a Python list into Markdown bullet points.\",\"base_classes\":[\"str\"],\"display_name\":\"List to Bullets\",\"custom_fields\":{\"items\":null},\"output_types\":[\"str\"],\"documentation\":\"\",\"beta\":true,\"error\":null},\"id\":\"CustomComponent-whsQ5\"},\"selected\":true,\"positionAbsolute\":{\"x\":1396.5574076376327,\"y\":694.8308714574463},\"dragging\":false}],\"edges\":[{\"source\":\"CustomComponent-FGzJJ\",\"sourceHandle\":\"{œbaseClassesœ:[œDataœ],œdataTypeœ:œCustomComponentœ,œidœ:œCustomComponent-FGzJJœ}\",\"target\":\"CustomComponent-f6nOg\",\"targetHandle\":\"{œfieldNameœ:œhtml_contentœ,œidœ:œCustomComponent-f6nOgœ,œinputTypesœ:null,œtypeœ:œDataœ}\",\"data\":{\"targetHandle\":{\"fieldName\":\"html_content\",\"id\":\"CustomComponent-f6nOg\",\"inputTypes\":null,\"type\":\"Data\"},\"sourceHandle\":{\"baseClasses\":[\"Data\"],\"dataType\":\"CustomComponent\",\"id\":\"CustomComponent-FGzJJ\"}},\"style\":{\"stroke\":\"#555\"},\"className\":\"stroke-foreground stroke-connection\",\"animated\":false,\"id\":\"reactflow__edge-CustomComponent-FGzJJ{œbaseClassesœ:[œDataœ],œdataTypeœ:œCustomComponentœ,œidœ:œCustomComponent-FGzJJœ}-CustomComponent-f6nOg{œfieldNameœ:œhtml_contentœ,œidœ:œCustomComponent-f6nOgœ,œinputTypesœ:null,œtypeœ:œDataœ}\",\"selected\":true},{\"source\":\"CustomComponent-FGzJJ\",\"sourceHandle\":\"{œbaseClassesœ:[œDataœ],œdataTypeœ:œCustomComponentœ,œidœ:œCustomComponent-FGzJJœ}\",\"target\":\"CustomComponent-0XtUN\",\"targetHandle\":\"{œfieldNameœ:œhtml_contentœ,œidœ:œCustomComponent-0XtUNœ,œinputTypesœ:null,œtypeœ:œDataœ}\",\"data\":{\"targetHandle\":{\"fieldName\":\"html_content\",\"id\":\"CustomComponent-0XtUN\",\"inputTypes\":null,\"type\":\"Data\"},\"sourceHandle\":{\"baseClasses\":[\"Data\"],\"dataType\":\"CustomComponent\",\"id\":\"CustomComponent-FGzJJ\"}},\"style\":{\"stroke\":\"#555\"},\"className\":\"stroke-foreground stroke-connection\",\"animated\":false,\"id\":\"reactflow__edge-CustomComponent-FGzJJ{œbaseClassesœ:[œDataœ],œdataTypeœ:œCustomComponentœ,œidœ:œCustomComponent-FGzJJœ}-CustomComponent-0XtUN{œfieldNameœ:œhtml_contentœ,œidœ:œCustomComponent-0XtUNœ,œinputTypesœ:null,œtypeœ:œDataœ}\",\"selected\":true},{\"source\":\"CustomComponent-0XtUN\",\"sourceHandle\":\"{œbaseClassesœ:[œDataœ],œdataTypeœ:œCustomComponentœ,œidœ:œCustomComponent-0XtUNœ}\",\"target\":\"CustomComponent-ODIcp\",\"targetHandle\":\"{œfieldNameœ:œsoupœ,œidœ:œCustomComponent-ODIcpœ,œinputTypesœ:null,œtypeœ:œDataœ}\",\"data\":{\"targetHandle\":{\"fieldName\":\"soup\",\"id\":\"CustomComponent-ODIcp\",\"inputTypes\":null,\"type\":\"Data\"},\"sourceHandle\":{\"baseClasses\":[\"Data\"],\"dataType\":\"CustomComponent\",\"id\":\"CustomComponent-0XtUN\"}},\"style\":{\"stroke\":\"#555\"},\"className\":\"stroke-foreground stroke-connection\",\"animated\":false,\"id\":\"reactflow__edge-CustomComponent-0XtUN{œbaseClassesœ:[œDataœ],œdataTypeœ:œCustomComponentœ,œidœ:œCustomComponent-0XtUNœ}-CustomComponent-ODIcp{œfieldNameœ:œsoupœ,œidœ:œCustomComponent-ODIcpœ,œinputTypesœ:null,œtypeœ:œDataœ}\",\"selected\":true},{\"source\":\"CustomComponent-OACE0\",\"sourceHandle\":\"{œbaseClassesœ:[œstrœ],œdataTypeœ:œCustomComponentœ,œidœ:œCustomComponent-OACE0œ}\",\"target\":\"CustomComponent-FGzJJ\",\"targetHandle\":\"{œfieldNameœ:œurlœ,œidœ:œCustomComponent-FGzJJœ,œinputTypesœ:[œDataœ,œstrœ],œtypeœ:œstrœ}\",\"data\":{\"targetHandle\":{\"fieldName\":\"url\",\"id\":\"CustomComponent-FGzJJ\",\"inputTypes\":[\"Data\",\"str\"],\"type\":\"str\"},\"sourceHandle\":{\"baseClasses\":[\"str\"],\"dataType\":\"CustomComponent\",\"id\":\"CustomComponent-OACE0\"}},\"style\":{\"stroke\":\"#555\"},\"className\":\"stroke-foreground stroke-connection\",\"animated\":false,\"id\":\"reactflow__edge-CustomComponent-OACE0{œbaseClassesœ:[œstrœ],œdataTypeœ:œCustomComponentœ,œidœ:œCustomComponent-OACE0œ}-CustomComponent-FGzJJ{œfieldNameœ:œurlœ,œidœ:œCustomComponent-FGzJJœ,œinputTypesœ:[œDataœ,œstrœ],œtypeœ:œstrœ}\",\"selected\":true},{\"source\":\"CustomComponent-OACE0\",\"sourceHandle\":\"{œbaseClassesœ:[œstrœ],œdataTypeœ:œCustomComponentœ,œidœ:œCustomComponent-OACE0œ}\",\"target\":\"PromptTemplate-H9Udy\",\"targetHandle\":\"{œfieldNameœ:œurlœ,œidœ:œPromptTemplate-H9Udyœ,œinputTypesœ:[œDocumentœ,œBaseOutputParserœ],œtypeœ:œstrœ}\",\"data\":{\"targetHandle\":{\"fieldName\":\"url\",\"id\":\"PromptTemplate-H9Udy\",\"inputTypes\":[\"Document\",\"BaseOutputParser\"],\"type\":\"str\"},\"sourceHandle\":{\"baseClasses\":[\"str\"],\"dataType\":\"CustomComponent\",\"id\":\"CustomComponent-OACE0\"}},\"style\":{\"stroke\":\"#555\"},\"className\":\"stroke-foreground stroke-connection\",\"animated\":false,\"id\":\"reactflow__edge-CustomComponent-OACE0{œbaseClassesœ:[œstrœ],œdataTypeœ:œCustomComponentœ,œidœ:œCustomComponent-OACE0œ}-PromptTemplate-H9Udy{œfieldNameœ:œurlœ,œidœ:œPromptTemplate-H9Udyœ,œinputTypesœ:[œDocumentœ,œBaseOutputParserœ],œtypeœ:œstrœ}\",\"selected\":true},{\"source\":\"CustomComponent-ODIcp\",\"sourceHandle\":\"{œbaseClassesœ:[œlistœ],œdataTypeœ:œCustomComponentœ,œidœ:œCustomComponent-ODIcpœ}\",\"target\":\"CustomComponent-whsQ5\",\"targetHandle\":\"{œfieldNameœ:œitemsœ,œidœ:œCustomComponent-whsQ5œ,œinputTypesœ:null,œtypeœ:œlistœ}\",\"data\":{\"targetHandle\":{\"fieldName\":\"items\",\"id\":\"CustomComponent-whsQ5\",\"inputTypes\":null,\"type\":\"list\"},\"sourceHandle\":{\"baseClasses\":[\"list\"],\"dataType\":\"CustomComponent\",\"id\":\"CustomComponent-ODIcp\"}},\"style\":{\"stroke\":\"#555\"},\"className\":\"stroke-foreground stroke-connection\",\"animated\":false,\"id\":\"reactflow__edge-CustomComponent-ODIcp{œbaseClassesœ:[œlistœ],œdataTypeœ:œCustomComponentœ,œidœ:œCustomComponent-ODIcpœ}-CustomComponent-whsQ5{œfieldNameœ:œitemsœ,œidœ:œCustomComponent-whsQ5œ,œinputTypesœ:null,œtypeœ:œlistœ}\",\"selected\":true},{\"source\":\"CustomComponent-whsQ5\",\"sourceHandle\":\"{œbaseClassesœ:[œstrœ],œdataTypeœ:œCustomComponentœ,œidœ:œCustomComponent-whsQ5œ}\",\"target\":\"PromptTemplate-H9Udy\",\"targetHandle\":\"{œfieldNameœ:œhtml_linksœ,œidœ:œPromptTemplate-H9Udyœ,œinputTypesœ:[œDocumentœ,œBaseOutputParserœ],œtypeœ:œstrœ}\",\"data\":{\"targetHandle\":{\"fieldName\":\"html_links\",\"id\":\"PromptTemplate-H9Udy\",\"inputTypes\":[\"Document\",\"BaseOutputParser\"],\"type\":\"str\"},\"sourceHandle\":{\"baseClasses\":[\"str\"],\"dataType\":\"CustomComponent\",\"id\":\"CustomComponent-whsQ5\"}},\"style\":{\"stroke\":\"#555\"},\"className\":\"stroke-foreground stroke-connection\",\"animated\":false,\"id\":\"reactflow__edge-CustomComponent-whsQ5{œbaseClassesœ:[œstrœ],œdataTypeœ:œCustomComponentœ,œidœ:œCustomComponent-whsQ5œ}-PromptTemplate-H9Udy{œfieldNameœ:œhtml_linksœ,œidœ:œPromptTemplate-H9Udyœ,œinputTypesœ:[œDocumentœ,œBaseOutputParserœ],œtypeœ:œstrœ}\",\"selected\":true},{\"source\":\"CustomComponent-f6nOg\",\"sourceHandle\":\"{œbaseClassesœ:[œstrœ],œdataTypeœ:œCustomComponentœ,œidœ:œCustomComponent-f6nOgœ}\",\"target\":\"PromptTemplate-H9Udy\",\"targetHandle\":\"{œfieldNameœ:œhtml_markdownœ,œidœ:œPromptTemplate-H9Udyœ,œinputTypesœ:[œDocumentœ,œBaseOutputParserœ],œtypeœ:œstrœ}\",\"data\":{\"targetHandle\":{\"fieldName\":\"html_markdown\",\"id\":\"PromptTemplate-H9Udy\",\"inputTypes\":[\"Document\",\"BaseOutputParser\"],\"type\":\"str\"},\"sourceHandle\":{\"baseClasses\":[\"str\"],\"dataType\":\"CustomComponent\",\"id\":\"CustomComponent-f6nOg\"}},\"style\":{\"stroke\":\"#555\"},\"className\":\"stroke-foreground stroke-connection\",\"animated\":false,\"id\":\"reactflow__edge-CustomComponent-f6nOg{œbaseClassesœ:[œstrœ],œdataTypeœ:œCustomComponentœ,œidœ:œCustomComponent-f6nOgœ}-PromptTemplate-H9Udy{œfieldNameœ:œhtml_markdownœ,œidœ:œPromptTemplate-H9Udyœ,œinputTypesœ:[œDocumentœ,œBaseOutputParserœ],œtypeœ:œstrœ}\",\"selected\":true}],\"viewport\":{\"x\":343.0346131188585,\"y\":341.89843948642147,\"zoom\":0.24148408223121196}},\"is_component\":false,\"name\":\"Fluffy Ptolemy\",\"description\":\"\",\"id\":\"W5oNW\"}}},\"selected\":false,\"positionAbsolute\":{\"x\":-222,\"y\":682.560723386973}}],\"edges\":[{\"source\":\"ChatOpenAI-NTTcv\",\"target\":\"LLMChain-RQsU1\",\"sourceHandle\":\"{œbaseClassesœ:[œBaseLanguageModelœ,œChatOpenAIœ,œBaseChatModelœ,œBaseLLMœ],œdataTypeœ:œChatOpenAIœ,œidœ:œChatOpenAI-NTTcvœ}\",\"targetHandle\":\"{œfieldNameœ:œllmœ,œidœ:œLLMChain-RQsU1œ,œinputTypesœ:null,œtypeœ:œBaseLanguageModelœ}\",\"id\":\"reactflow__edge-ChatOpenAI-NTTcv{œbaseClassesœ:[œBaseLanguageModelœ,œChatOpenAIœ,œBaseChatModelœ,œBaseLLMœ],œdataTypeœ:œChatOpenAIœ,œidœ:œChatOpenAI-NTTcvœ}-LLMChain-RQsU1{œfieldNameœ:œllmœ,œidœ:œLLMChain-RQsU1œ,œinputTypesœ:null,œtypeœ:œBaseLanguageModelœ}\",\"data\":{\"targetHandle\":{\"fieldName\":\"llm\",\"id\":\"LLMChain-RQsU1\",\"inputTypes\":null,\"type\":\"BaseLanguageModel\"},\"sourceHandle\":{\"baseClasses\":[\"BaseLanguageModel\",\"ChatOpenAI\",\"BaseChatModel\",\"BaseLLM\"],\"dataType\":\"ChatOpenAI\",\"id\":\"ChatOpenAI-NTTcv\"}},\"style\":{\"stroke\":\"#555\"},\"className\":\"stroke-gray-900 \",\"animated\":false,\"selected\":false},{\"source\":\"PromptTemplate-VELMV\",\"target\":\"LLMChain-RQsU1\",\"sourceHandle\":\"{œbaseClassesœ:[œStringPromptTemplateœ,œBasePromptTemplateœ,œPromptTemplateœ],œdataTypeœ:œPromptTemplateœ,œidœ:œPromptTemplate-VELMVœ}\",\"targetHandle\":\"{œfieldNameœ:œpromptœ,œidœ:œLLMChain-RQsU1œ,œinputTypesœ:null,œtypeœ:œBasePromptTemplateœ}\",\"id\":\"reactflow__edge-PromptTemplate-VELMV{œbaseClassesœ:[œStringPromptTemplateœ,œBasePromptTemplateœ,œPromptTemplateœ],œdataTypeœ:œPromptTemplateœ,œidœ:œPromptTemplate-VELMVœ}-LLMChain-RQsU1{œfieldNameœ:œpromptœ,œidœ:œLLMChain-RQsU1œ,œinputTypesœ:null,œtypeœ:œBasePromptTemplateœ}\",\"data\":{\"targetHandle\":{\"fieldName\":\"prompt\",\"id\":\"LLMChain-RQsU1\",\"inputTypes\":null,\"type\":\"BasePromptTemplate\"},\"sourceHandle\":{\"baseClasses\":[\"StringPromptTemplate\",\"BasePromptTemplate\",\"PromptTemplate\"],\"dataType\":\"PromptTemplate\",\"id\":\"PromptTemplate-VELMV\"}},\"style\":{\"stroke\":\"#555\"},\"className\":\"stroke-gray-900 \",\"animated\":false,\"selected\":false}],\"viewport\":{\"x\":298.29888454238517,\"y\":96.95765543775741,\"zoom\":0.5140569133280332}},\"is_component\":false,\"updated_at\":\"2023-12-04T23:23:08.584967\",\"folder\":null,\"id\":\"5df79f1d-f592-4d59-8c0f-9f3c2f6465b1\",\"user_id\":\"d253bfba-6368-44dc-85f7-0d6da9e45968\"},{\"name\":\"Silly Pasteur\",\"description\":\"Nurture NLP Nodes Here.\",\"data\":{\"nodes\":[{\"width\":384,\"height\":338,\"id\":\"LLMChain-cHel8\",\"type\":\"genericNode\",\"position\":{\"x\":547.3876889720291,\"y\":299.2057833881307},\"data\":{\"type\":\"LLMChain\",\"node\":{\"template\":{\"code\":{\"dynamic\":true,\"required\":true,\"placeholder\":\"\",\"show\":false,\"multiline\":true,\"value\":\"from typing import Callable, Optional, Union\\n\\nfrom langchain.chains import LLMChain\\n\\nfrom langflow import CustomComponent\\nfrom langflow.field_typing import (\\n BaseLanguageModel,\\n BaseMemory,\\n BasePromptTemplate,\\n Chain,\\n)\\n\\n\\nclass LLMChainComponent(CustomComponent):\\n display_name = \\\"LLMChain\\\"\\n description = \\\"Chain to run queries against LLMs\\\"\\n\\n def build_config(self):\\n return {\\n \\\"prompt\\\": {\\\"display_name\\\": \\\"Prompt\\\"},\\n \\\"llm\\\": {\\\"display_name\\\": \\\"LLM\\\"},\\n \\\"memory\\\": {\\\"display_name\\\": \\\"Memory\\\"},\\n \\\"code\\\": {\\\"show\\\": False},\\n }\\n\\n def build(\\n self,\\n prompt: BasePromptTemplate,\\n llm: BaseLanguageModel,\\n memory: Optional[BaseMemory] = None,\\n ) -> Union[Chain, Callable]:\\n return LLMChain(prompt=prompt, llm=llm, memory=memory)\\n\",\"password\":false,\"name\":\"code\",\"advanced\":false,\"type\":\"code\",\"list\":false},\"_type\":\"CustomComponent\",\"llm\":{\"required\":true,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"password\":false,\"name\":\"llm\",\"display_name\":\"LLM\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"BaseLanguageModel\",\"list\":false},\"memory\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"password\":false,\"name\":\"memory\",\"display_name\":\"Memory\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"BaseMemory\",\"list\":false},\"prompt\":{\"required\":true,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"password\":false,\"name\":\"prompt\",\"display_name\":\"Prompt\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"BasePromptTemplate\",\"list\":false}},\"description\":\"Chain to run queries against LLMs\",\"base_classes\":[\"Chain\",\"Callable\"],\"display_name\":\"LLMChain\",\"custom_fields\":{\"llm\":null,\"memory\":null,\"prompt\":null},\"output_types\":[\"LLMChain\"],\"documentation\":\"\",\"beta\":true,\"error\":null},\"id\":\"LLMChain-cHel8\"},\"selected\":false,\"positionAbsolute\":{\"x\":547.3876889720291,\"y\":299.2057833881307},\"dragging\":false},{\"width\":384,\"height\":626,\"id\":\"ChatOpenAI-LA6y0\",\"type\":\"genericNode\",\"position\":{\"x\":-272.94405331278074,\"y\":-603.148171441675},\"data\":{\"type\":\"ChatOpenAI\",\"node\":{\"template\":{\"callbacks\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"password\":false,\"name\":\"callbacks\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"langchain_core.callbacks.base.BaseCallbackHandler\",\"list\":true},\"async_client\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"password\":false,\"name\":\"async_client\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"Any\",\"list\":false},\"cache\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"password\":false,\"name\":\"cache\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"bool\",\"list\":false},\"client\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"password\":false,\"name\":\"client\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"Any\",\"list\":false},\"default_headers\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"password\":false,\"name\":\"default_headers\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"dict\",\"list\":false},\"default_query\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"password\":false,\"name\":\"default_query\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"dict\",\"list\":false},\"http_client\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"password\":false,\"name\":\"http_client\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"Any\",\"list\":false},\"max_retries\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"value\":2,\"password\":false,\"name\":\"max_retries\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"int\",\"list\":false},\"max_tokens\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"password\":true,\"name\":\"max_tokens\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"int\",\"list\":false},\"metadata\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"password\":false,\"name\":\"metadata\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"dict\",\"list\":false},\"model_kwargs\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"password\":false,\"name\":\"model_kwargs\",\"advanced\":true,\"dynamic\":false,\"info\":\"\",\"type\":\"dict\",\"list\":false},\"model_name\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"value\":\"gpt-4-1106-preview\",\"password\":false,\"options\":[\"gpt-4-1106-preview\",\"gpt-4\",\"gpt-4-32k\",\"gpt-3.5-turbo\",\"gpt-3.5-turbo-16k\"],\"name\":\"model_name\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"str\",\"list\":true},\"n\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"value\":1,\"password\":false,\"name\":\"n\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"int\",\"list\":false},\"openai_api_base\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"password\":false,\"name\":\"openai_api_base\",\"display_name\":\"OpenAI API Base\",\"advanced\":false,\"dynamic\":false,\"info\":\"\\nThe base URL of the OpenAI API. Defaults to https://api.openai.com/v1.\\n\\nYou can change this to use other APIs like JinaChat, LocalAI and Prem.\\n\",\"type\":\"str\",\"list\":false},\"openai_api_key\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"value\":\"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\",\"password\":true,\"name\":\"openai_api_key\",\"display_name\":\"OpenAI API Key\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"str\",\"list\":false},\"openai_organization\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"password\":false,\"name\":\"openai_organization\",\"display_name\":\"OpenAI Organization\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"str\",\"list\":false},\"openai_proxy\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"password\":false,\"name\":\"openai_proxy\",\"display_name\":\"OpenAI Proxy\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"str\",\"list\":false},\"request_timeout\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"password\":false,\"name\":\"request_timeout\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"float\",\"list\":false},\"streaming\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"value\":false,\"password\":false,\"name\":\"streaming\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"bool\",\"list\":false},\"tags\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"password\":false,\"name\":\"tags\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"str\",\"list\":true},\"temperature\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"value\":\"0.1\",\"password\":false,\"name\":\"temperature\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"float\",\"list\":false},\"tiktoken_model_name\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"password\":false,\"name\":\"tiktoken_model_name\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"str\",\"list\":false},\"verbose\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"value\":false,\"password\":false,\"name\":\"verbose\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"bool\",\"list\":false},\"_type\":\"ChatOpenAI\"},\"description\":\"`OpenAI` Chat large language models API.\",\"base_classes\":[\"BaseLanguageModel\",\"ChatOpenAI\",\"BaseChatModel\",\"BaseLLM\"],\"display_name\":\"ChatOpenAI\",\"custom_fields\":{},\"output_types\":[],\"documentation\":\"https://python.langchain.com/docs/modules/model_io/models/chat/integrations/openai\",\"beta\":false,\"error\":null},\"id\":\"ChatOpenAI-LA6y0\"},\"selected\":false,\"dragging\":false,\"positionAbsolute\":{\"x\":-272.94405331278074,\"y\":-603.148171441675}},{\"width\":384,\"height\":404,\"id\":\"CustomComponent-ZNoRM\",\"type\":\"genericNode\",\"position\":{\"x\":-103.65741264289085,\"y\":134.62332404764658},\"data\":{\"type\":\"CustomComponent\",\"node\":{\"template\":{\"code\":{\"dynamic\":true,\"required\":true,\"placeholder\":\"\",\"show\":true,\"multiline\":true,\"value\":\"from langflow import CustomComponent\\nfrom langflow.field_typing import Data\\nimport html2text\\n\\nclass ConvertHTMLToMarkdown(CustomComponent):\\n display_name: str = \\\"HTML to Markdown\\\"\\n description: str = \\\"Converts HTML content to Markdown format.\\\"\\n\\n def build(self, html_content: Data, ignore_links: bool = False) -> str:\\n converter = html2text.HTML2Text()\\n converter.ignore_links = ignore_links\\n markdown_text = converter.handle(html_content)\\n self.status = markdown_text\\n return markdown_text\\n\",\"password\":false,\"name\":\"code\",\"advanced\":false,\"type\":\"code\",\"list\":false,\"display_name\":\"code\"},\"_type\":\"CustomComponent\",\"html_content\":{\"required\":true,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"password\":false,\"name\":\"html_content\",\"display_name\":\"html_content\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"Data\",\"list\":false},\"ignore_links\":{\"required\":true,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"value\":false,\"password\":false,\"name\":\"ignore_links\",\"display_name\":\"ignore_links\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"bool\",\"list\":false}},\"description\":\"Converts HTML content to Markdown format.\",\"base_classes\":[\"str\"],\"display_name\":\"HTML to Markdown\",\"custom_fields\":{\"html_content\":null,\"ignore_links\":null},\"output_types\":[\"str\"],\"documentation\":\"\",\"beta\":true,\"error\":null},\"id\":\"CustomComponent-ZNoRM\"},\"selected\":false,\"positionAbsolute\":{\"x\":-103.65741264289085,\"y\":134.62332404764658},\"dragging\":false},{\"width\":384,\"height\":374,\"id\":\"CustomComponent-zNSTv\",\"type\":\"genericNode\",\"position\":{\"x\":-1233.3963469933499,\"y\":280.77850809220325},\"data\":{\"type\":\"CustomComponent\",\"node\":{\"template\":{\"code\":{\"dynamic\":true,\"required\":true,\"placeholder\":\"\",\"show\":true,\"multiline\":true,\"value\":\"from langflow import CustomComponent\\nfrom langflow.field_typing import Data\\nimport requests\\n\\nclass FetchHTMLContent(CustomComponent):\\n display_name: str = \\\"Fetch HTML\\\"\\n description: str = \\\"Fetches HTML content from a specified URL.\\\"\\n \\n def build_config(self):\\n return {\\\"url\\\": {\\\"input_types\\\": [\\\"Data\\\", \\\"str\\\"]}} \\n\\n def build(self, url: str) -> Data:\\n response = requests.get(url)\\n self.status = str(response) + \\\"\\\\n\\\\n\\\" + response.text\\n return response.text\\n\",\"password\":false,\"name\":\"code\",\"advanced\":false,\"type\":\"code\",\"list\":false,\"display_name\":\"code\"},\"_type\":\"CustomComponent\",\"url\":{\"required\":true,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"password\":false,\"name\":\"url\",\"display_name\":\"url\",\"advanced\":false,\"input_types\":[\"Data\",\"str\"],\"dynamic\":false,\"info\":\"\",\"type\":\"str\",\"list\":false,\"value\":\"\"}},\"description\":\"Fetches HTML content from a specified URL.\",\"base_classes\":[\"Data\"],\"display_name\":\"Fetch HTML\",\"custom_fields\":{\"url\":null},\"output_types\":[\"Data\"],\"documentation\":\"\",\"beta\":true,\"error\":null},\"id\":\"CustomComponent-zNSTv\"},\"selected\":false,\"dragging\":false,\"positionAbsolute\":{\"x\":-1233.3963469933499,\"y\":280.77850809220325}},{\"width\":384,\"height\":328,\"id\":\"CustomComponent-Ihm2o\",\"type\":\"genericNode\",\"position\":{\"x\":-554.9404152016002,\"y\":683.6763775860567},\"data\":{\"type\":\"CustomComponent\",\"node\":{\"template\":{\"code\":{\"dynamic\":true,\"required\":true,\"placeholder\":\"\",\"show\":true,\"multiline\":true,\"value\":\"from bs4 import BeautifulSoup\\nfrom langflow import CustomComponent\\nfrom langflow.field_typing import Data\\n\\nclass ParseHTMLContent(CustomComponent):\\n display_name: str = \\\"Parse HTML\\\"\\n description: str = \\\"Parses HTML content using Beautiful Soup.\\\"\\n\\n def build(self, html_content: Data) -> Data:\\n soup = BeautifulSoup(html_content, 'html.parser')\\n self.status = soup\\n return soup\\n\",\"password\":false,\"name\":\"code\",\"advanced\":false,\"type\":\"code\",\"list\":false,\"display_name\":\"code\"},\"_type\":\"CustomComponent\",\"html_content\":{\"required\":true,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"password\":false,\"name\":\"html_content\",\"display_name\":\"html_content\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"Data\",\"list\":false}},\"description\":\"Parses HTML content using Beautiful Soup.\",\"base_classes\":[\"Data\"],\"display_name\":\"Parse HTML\",\"custom_fields\":{\"html_content\":null},\"output_types\":[\"Data\"],\"documentation\":\"\",\"beta\":true,\"error\":null},\"id\":\"CustomComponent-Ihm2o\"},\"selected\":false,\"dragging\":false,\"positionAbsolute\":{\"x\":-554.9404152016002,\"y\":683.6763775860567}},{\"width\":384,\"height\":328,\"id\":\"CustomComponent-6ST9l\",\"type\":\"genericNode\",\"position\":{\"x\":76.10921262566495,\"y\":872.9491114949525},\"data\":{\"type\":\"CustomComponent\",\"node\":{\"template\":{\"code\":{\"dynamic\":true,\"required\":true,\"placeholder\":\"\",\"show\":true,\"multiline\":true,\"value\":\"from langflow import CustomComponent\\nfrom langflow.field_typing import Data\\n\\nclass ExtractHyperlinks(CustomComponent):\\n display_name: str = \\\"Extract Hyperlinks\\\"\\n description: str = \\\"Extracts hyperlinks from parsed HTML content.\\\"\\n\\n def build(self, soup: Data) -> list:\\n links = [link.get('href') for link in soup.find_all('a')]\\n self.status = links\\n return links\\n\",\"password\":false,\"name\":\"code\",\"advanced\":false,\"type\":\"code\",\"list\":false,\"display_name\":\"code\"},\"_type\":\"CustomComponent\",\"soup\":{\"required\":true,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"password\":false,\"name\":\"soup\",\"display_name\":\"soup\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"Data\",\"list\":false}},\"description\":\"Extracts hyperlinks from parsed HTML content.\",\"base_classes\":[\"list\"],\"display_name\":\"Extract Hyperlinks\",\"custom_fields\":{\"soup\":null},\"output_types\":[\"list\"],\"documentation\":\"\",\"beta\":true,\"error\":null},\"id\":\"CustomComponent-6ST9l\"},\"selected\":false,\"positionAbsolute\":{\"x\":76.10921262566495,\"y\":872.9491114949525},\"dragging\":false},{\"width\":384,\"height\":654,\"id\":\"PromptTemplate-l35W1\",\"type\":\"genericNode\",\"position\":{\"x\":1461.4487148097069,\"y\":1090.896175351284},\"data\":{\"type\":\"PromptTemplate\",\"node\":{\"template\":{\"output_parser\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"password\":false,\"name\":\"output_parser\",\"advanced\":false,\"dynamic\":true,\"info\":\"\",\"type\":\"BaseOutputParser\",\"list\":false,\"display_name\":\"output_parser\"},\"input_types\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"password\":false,\"name\":\"input_types\",\"advanced\":false,\"dynamic\":true,\"info\":\"\",\"type\":\"dict\",\"list\":false,\"display_name\":\"input_types\"},\"input_variables\":{\"required\":true,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"password\":false,\"name\":\"input_variables\",\"advanced\":false,\"dynamic\":true,\"info\":\"\",\"type\":\"str\",\"list\":true,\"value\":[\"url\",\"html_markdown\",\"html_links\",\"query\"],\"display_name\":\"input_variables\"},\"partial_variables\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"password\":false,\"name\":\"partial_variables\",\"advanced\":false,\"dynamic\":true,\"info\":\"\",\"type\":\"dict\",\"list\":false,\"display_name\":\"partial_variables\"},\"template\":{\"required\":true,\"placeholder\":\"\",\"show\":true,\"multiline\":true,\"password\":false,\"name\":\"template\",\"advanced\":false,\"dynamic\":true,\"info\":\"\",\"type\":\"prompt\",\"list\":false,\"value\":\"Below is the HTML content (as markdown) and hyperlinks extracted from {url}\\n\\n---\\n\\nContent:\\n\\n{html_markdown}\\n\\n---\\n\\nLinks:\\n\\n{html_links}\\n\\n---\\n\\nAnswer the user query as best as possible.\\n\\nUser query:\\n\\n{query}\\n\\nAnswer:\\n\",\"display_name\":\"template\"},\"template_format\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"value\":\"f-string\",\"password\":false,\"name\":\"template_format\",\"advanced\":false,\"dynamic\":true,\"info\":\"\",\"type\":\"str\",\"list\":false,\"display_name\":\"template_format\"},\"validate_template\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"value\":false,\"password\":false,\"name\":\"validate_template\",\"advanced\":false,\"dynamic\":true,\"info\":\"\",\"type\":\"bool\",\"list\":false,\"display_name\":\"validate_template\"},\"_type\":\"PromptTemplate\",\"url\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":true,\"value\":\"\",\"password\":false,\"name\":\"url\",\"display_name\":\"url\",\"advanced\":false,\"input_types\":[\"Document\",\"BaseOutputParser\"],\"dynamic\":false,\"info\":\"\",\"type\":\"str\",\"list\":false},\"html_markdown\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":true,\"value\":\"\",\"password\":false,\"name\":\"html_markdown\",\"display_name\":\"html_markdown\",\"advanced\":false,\"input_types\":[\"Document\",\"BaseOutputParser\"],\"dynamic\":false,\"info\":\"\",\"type\":\"str\",\"list\":false},\"html_links\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":true,\"value\":\"\",\"password\":false,\"name\":\"html_links\",\"display_name\":\"html_links\",\"advanced\":false,\"input_types\":[\"Document\",\"BaseOutputParser\"],\"dynamic\":false,\"info\":\"\",\"type\":\"str\",\"list\":false},\"query\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":true,\"value\":\"\",\"password\":false,\"name\":\"query\",\"display_name\":\"query\",\"advanced\":false,\"input_types\":[\"Document\",\"BaseOutputParser\"],\"dynamic\":false,\"info\":\"\",\"type\":\"str\",\"list\":false}},\"description\":\"A prompt template for a language model.\",\"base_classes\":[\"StringPromptTemplate\",\"BasePromptTemplate\",\"PromptTemplate\"],\"name\":\"\",\"display_name\":\"PromptTemplate\",\"documentation\":\"https://python.langchain.com/docs/modules/model_io/prompts/prompt_templates/\",\"custom_fields\":{\"\":[\"url\",\"html_markdown\",\"html_links\",\"query\"]},\"output_types\":[],\"full_path\":null,\"field_formatters\":{},\"beta\":false,\"error\":null},\"id\":\"PromptTemplate-l35W1\"},\"selected\":false,\"positionAbsolute\":{\"x\":1461.4487148097069,\"y\":1090.896175351284},\"dragging\":false},{\"width\":384,\"height\":346,\"id\":\"CustomComponent-iTLf4\",\"type\":\"genericNode\",\"position\":{\"x\":-1924.8908014123388,\"y\":704.5414990162741},\"data\":{\"type\":\"CustomComponent\",\"node\":{\"template\":{\"code\":{\"dynamic\":true,\"required\":true,\"placeholder\":\"\",\"show\":true,\"multiline\":true,\"value\":\"from langflow import CustomComponent\\nfrom langflow.field_typing import Data\\nimport requests\\n\\nclass FetchHTMLContent(CustomComponent):\\n display_name: str = \\\"URL Input\\\"\\n\\n def build(self, url: str) -> str:\\n return url\\n\",\"password\":false,\"name\":\"code\",\"advanced\":false,\"type\":\"code\",\"list\":false,\"display_name\":\"code\"},\"_type\":\"CustomComponent\",\"url\":{\"required\":true,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"password\":false,\"name\":\"url\",\"display_name\":\"url\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"str\",\"list\":false,\"value\":\"https://paperswithcode.com/\"}},\"description\":null,\"base_classes\":[\"str\"],\"display_name\":\"URL Input\",\"custom_fields\":{\"url\":null},\"output_types\":[\"str\"],\"documentation\":\"\",\"beta\":true,\"error\":null},\"id\":\"CustomComponent-iTLf4\"},\"selected\":false,\"positionAbsolute\":{\"x\":-1924.8908014123388,\"y\":704.5414990162741},\"dragging\":false},{\"width\":384,\"height\":328,\"id\":\"CustomComponent-jWLUz\",\"type\":\"genericNode\",\"position\":{\"x\":627.6164007410564,\"y\":1201.2365384322047},\"data\":{\"type\":\"CustomComponent\",\"node\":{\"template\":{\"code\":{\"dynamic\":true,\"required\":true,\"placeholder\":\"\",\"show\":true,\"multiline\":true,\"value\":\"from langflow import CustomComponent\\n\\nclass ListToMarkdownBullets(CustomComponent):\\n display_name: str = \\\"List to Bullets\\\"\\n description: str = \\\"Converts a Python list into Markdown bullet points.\\\"\\n\\n def build(self, items: list) -> str:\\n markdown_bullets = '\\\\n'.join(f'* {item}' for item in items)\\n return markdown_bullets\\n\",\"password\":false,\"name\":\"code\",\"advanced\":false,\"type\":\"code\",\"list\":false,\"display_name\":\"code\"},\"_type\":\"CustomComponent\",\"items\":{\"required\":true,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"password\":false,\"name\":\"items\",\"display_name\":\"items\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"list\",\"list\":true}},\"description\":\"Converts a Python list into Markdown bullet points.\",\"base_classes\":[\"str\"],\"display_name\":\"List to Bullets\",\"custom_fields\":{\"items\":null},\"output_types\":[\"str\"],\"documentation\":\"\",\"beta\":true,\"error\":null},\"id\":\"CustomComponent-jWLUz\"},\"selected\":false,\"positionAbsolute\":{\"x\":627.6164007410564,\"y\":1201.2365384322047},\"dragging\":false}],\"edges\":[{\"source\":\"ChatOpenAI-LA6y0\",\"target\":\"LLMChain-cHel8\",\"sourceHandle\":\"{œbaseClassesœ:[œBaseLanguageModelœ,œChatOpenAIœ,œBaseChatModelœ,œBaseLLMœ],œdataTypeœ:œChatOpenAIœ,œidœ:œChatOpenAI-LA6y0œ}\",\"targetHandle\":\"{œfieldNameœ:œllmœ,œidœ:œLLMChain-cHel8œ,œinputTypesœ:null,œtypeœ:œBaseLanguageModelœ}\",\"id\":\"reactflow__edge-ChatOpenAI-LA6y0{œbaseClassesœ:[œBaseLanguageModelœ,œChatOpenAIœ,œBaseChatModelœ,œBaseLLMœ],œdataTypeœ:œChatOpenAIœ,œidœ:œChatOpenAI-LA6y0œ}-LLMChain-cHel8{œfieldNameœ:œllmœ,œidœ:œLLMChain-cHel8œ,œinputTypesœ:null,œtypeœ:œBaseLanguageModelœ}\",\"data\":{\"targetHandle\":{\"fieldName\":\"llm\",\"id\":\"LLMChain-cHel8\",\"inputTypes\":null,\"type\":\"BaseLanguageModel\"},\"sourceHandle\":{\"baseClasses\":[\"BaseLanguageModel\",\"ChatOpenAI\",\"BaseChatModel\",\"BaseLLM\"],\"dataType\":\"ChatOpenAI\",\"id\":\"ChatOpenAI-LA6y0\"}},\"style\":{\"stroke\":\"#555\"},\"className\":\"stroke-gray-900 stroke-connection\",\"animated\":false,\"selected\":false},{\"source\":\"CustomComponent-zNSTv\",\"sourceHandle\":\"{œbaseClassesœ:[œDataœ],œdataTypeœ:œCustomComponentœ,œidœ:œCustomComponent-zNSTvœ}\",\"target\":\"CustomComponent-ZNoRM\",\"targetHandle\":\"{œfieldNameœ:œhtml_contentœ,œidœ:œCustomComponent-ZNoRMœ,œinputTypesœ:null,œtypeœ:œDataœ}\",\"data\":{\"targetHandle\":{\"fieldName\":\"html_content\",\"id\":\"CustomComponent-ZNoRM\",\"inputTypes\":null,\"type\":\"Data\"},\"sourceHandle\":{\"baseClasses\":[\"Data\"],\"dataType\":\"CustomComponent\",\"id\":\"CustomComponent-zNSTv\"}},\"style\":{\"stroke\":\"#555\"},\"className\":\"stroke-gray-900 stroke-connection\",\"animated\":false,\"id\":\"reactflow__edge-CustomComponent-zNSTv{œbaseClassesœ:[œDataœ],œdataTypeœ:œCustomComponentœ,œidœ:œCustomComponent-zNSTvœ}-CustomComponent-ZNoRM{œfieldNameœ:œhtml_contentœ,œidœ:œCustomComponent-ZNoRMœ,œinputTypesœ:null,œtypeœ:œDataœ}\",\"selected\":false},{\"source\":\"CustomComponent-zNSTv\",\"sourceHandle\":\"{œbaseClassesœ:[œDataœ],œdataTypeœ:œCustomComponentœ,œidœ:œCustomComponent-zNSTvœ}\",\"target\":\"CustomComponent-Ihm2o\",\"targetHandle\":\"{œfieldNameœ:œhtml_contentœ,œidœ:œCustomComponent-Ihm2oœ,œinputTypesœ:null,œtypeœ:œDataœ}\",\"data\":{\"targetHandle\":{\"fieldName\":\"html_content\",\"id\":\"CustomComponent-Ihm2o\",\"inputTypes\":null,\"type\":\"Data\"},\"sourceHandle\":{\"baseClasses\":[\"Data\"],\"dataType\":\"CustomComponent\",\"id\":\"CustomComponent-zNSTv\"}},\"style\":{\"stroke\":\"#555\"},\"className\":\"stroke-gray-900 stroke-connection\",\"animated\":false,\"id\":\"reactflow__edge-CustomComponent-zNSTv{œbaseClassesœ:[œDataœ],œdataTypeœ:œCustomComponentœ,œidœ:œCustomComponent-zNSTvœ}-CustomComponent-Ihm2o{œfieldNameœ:œhtml_contentœ,œidœ:œCustomComponent-Ihm2oœ,œinputTypesœ:null,œtypeœ:œDataœ}\",\"selected\":false},{\"source\":\"CustomComponent-Ihm2o\",\"sourceHandle\":\"{œbaseClassesœ:[œDataœ],œdataTypeœ:œCustomComponentœ,œidœ:œCustomComponent-Ihm2oœ}\",\"target\":\"CustomComponent-6ST9l\",\"targetHandle\":\"{œfieldNameœ:œsoupœ,œidœ:œCustomComponent-6ST9lœ,œinputTypesœ:null,œtypeœ:œDataœ}\",\"data\":{\"targetHandle\":{\"fieldName\":\"soup\",\"id\":\"CustomComponent-6ST9l\",\"inputTypes\":null,\"type\":\"Data\"},\"sourceHandle\":{\"baseClasses\":[\"Data\"],\"dataType\":\"CustomComponent\",\"id\":\"CustomComponent-Ihm2o\"}},\"style\":{\"stroke\":\"#555\"},\"className\":\"stroke-gray-900 stroke-connection\",\"animated\":false,\"id\":\"reactflow__edge-CustomComponent-Ihm2o{œbaseClassesœ:[œDataœ],œdataTypeœ:œCustomComponentœ,œidœ:œCustomComponent-Ihm2oœ}-CustomComponent-6ST9l{œfieldNameœ:œsoupœ,œidœ:œCustomComponent-6ST9lœ,œinputTypesœ:null,œtypeœ:œDataœ}\",\"selected\":false},{\"source\":\"CustomComponent-iTLf4\",\"sourceHandle\":\"{œbaseClassesœ:[œstrœ],œdataTypeœ:œCustomComponentœ,œidœ:œCustomComponent-iTLf4œ}\",\"target\":\"CustomComponent-zNSTv\",\"targetHandle\":\"{œfieldNameœ:œurlœ,œidœ:œCustomComponent-zNSTvœ,œinputTypesœ:[œDataœ,œstrœ],œtypeœ:œstrœ}\",\"data\":{\"targetHandle\":{\"fieldName\":\"url\",\"id\":\"CustomComponent-zNSTv\",\"inputTypes\":[\"Data\",\"str\"],\"type\":\"str\"},\"sourceHandle\":{\"baseClasses\":[\"str\"],\"dataType\":\"CustomComponent\",\"id\":\"CustomComponent-iTLf4\"}},\"style\":{\"stroke\":\"#555\"},\"className\":\"stroke-gray-900 stroke-connection\",\"animated\":false,\"id\":\"reactflow__edge-CustomComponent-iTLf4{œbaseClassesœ:[œstrœ],œdataTypeœ:œCustomComponentœ,œidœ:œCustomComponent-iTLf4œ}-CustomComponent-zNSTv{œfieldNameœ:œurlœ,œidœ:œCustomComponent-zNSTvœ,œinputTypesœ:[œDataœ,œstrœ],œtypeœ:œstrœ}\",\"selected\":false},{\"source\":\"CustomComponent-iTLf4\",\"sourceHandle\":\"{œbaseClassesœ:[œstrœ],œdataTypeœ:œCustomComponentœ,œidœ:œCustomComponent-iTLf4œ}\",\"target\":\"PromptTemplate-l35W1\",\"targetHandle\":\"{œfieldNameœ:œurlœ,œidœ:œPromptTemplate-l35W1œ,œinputTypesœ:[œDocumentœ,œBaseOutputParserœ],œtypeœ:œstrœ}\",\"data\":{\"targetHandle\":{\"fieldName\":\"url\",\"id\":\"PromptTemplate-l35W1\",\"inputTypes\":[\"Document\",\"BaseOutputParser\"],\"type\":\"str\"},\"sourceHandle\":{\"baseClasses\":[\"str\"],\"dataType\":\"CustomComponent\",\"id\":\"CustomComponent-iTLf4\"}},\"style\":{\"stroke\":\"#555\"},\"className\":\"stroke-gray-900 stroke-connection\",\"animated\":false,\"id\":\"reactflow__edge-CustomComponent-iTLf4{œbaseClassesœ:[œstrœ],œdataTypeœ:œCustomComponentœ,œidœ:œCustomComponent-iTLf4œ}-PromptTemplate-l35W1{œfieldNameœ:œurlœ,œidœ:œPromptTemplate-l35W1œ,œinputTypesœ:[œDocumentœ,œBaseOutputParserœ],œtypeœ:œstrœ}\",\"selected\":false},{\"source\":\"CustomComponent-6ST9l\",\"sourceHandle\":\"{œbaseClassesœ:[œlistœ],œdataTypeœ:œCustomComponentœ,œidœ:œCustomComponent-6ST9lœ}\",\"target\":\"CustomComponent-jWLUz\",\"targetHandle\":\"{œfieldNameœ:œitemsœ,œidœ:œCustomComponent-jWLUzœ,œinputTypesœ:null,œtypeœ:œlistœ}\",\"data\":{\"targetHandle\":{\"fieldName\":\"items\",\"id\":\"CustomComponent-jWLUz\",\"inputTypes\":null,\"type\":\"list\"},\"sourceHandle\":{\"baseClasses\":[\"list\"],\"dataType\":\"CustomComponent\",\"id\":\"CustomComponent-6ST9l\"}},\"style\":{\"stroke\":\"#555\"},\"className\":\"stroke-gray-900 stroke-connection\",\"animated\":false,\"id\":\"reactflow__edge-CustomComponent-6ST9l{œbaseClassesœ:[œlistœ],œdataTypeœ:œCustomComponentœ,œidœ:œCustomComponent-6ST9lœ}-CustomComponent-jWLUz{œfieldNameœ:œitemsœ,œidœ:œCustomComponent-jWLUzœ,œinputTypesœ:null,œtypeœ:œlistœ}\",\"selected\":false},{\"source\":\"CustomComponent-jWLUz\",\"sourceHandle\":\"{œbaseClassesœ:[œstrœ],œdataTypeœ:œCustomComponentœ,œidœ:œCustomComponent-jWLUzœ}\",\"target\":\"PromptTemplate-l35W1\",\"targetHandle\":\"{œfieldNameœ:œhtml_linksœ,œidœ:œPromptTemplate-l35W1œ,œinputTypesœ:[œDocumentœ,œBaseOutputParserœ],œtypeœ:œstrœ}\",\"data\":{\"targetHandle\":{\"fieldName\":\"html_links\",\"id\":\"PromptTemplate-l35W1\",\"inputTypes\":[\"Document\",\"BaseOutputParser\"],\"type\":\"str\"},\"sourceHandle\":{\"baseClasses\":[\"str\"],\"dataType\":\"CustomComponent\",\"id\":\"CustomComponent-jWLUz\"}},\"style\":{\"stroke\":\"#555\"},\"className\":\"stroke-gray-900 stroke-connection\",\"animated\":false,\"id\":\"reactflow__edge-CustomComponent-jWLUz{œbaseClassesœ:[œstrœ],œdataTypeœ:œCustomComponentœ,œidœ:œCustomComponent-jWLUzœ}-PromptTemplate-l35W1{œfieldNameœ:œhtml_linksœ,œidœ:œPromptTemplate-l35W1œ,œinputTypesœ:[œDocumentœ,œBaseOutputParserœ],œtypeœ:œstrœ}\",\"selected\":false},{\"source\":\"CustomComponent-ZNoRM\",\"sourceHandle\":\"{œbaseClassesœ:[œstrœ],œdataTypeœ:œCustomComponentœ,œidœ:œCustomComponent-ZNoRMœ}\",\"target\":\"PromptTemplate-l35W1\",\"targetHandle\":\"{œfieldNameœ:œhtml_markdownœ,œidœ:œPromptTemplate-l35W1œ,œinputTypesœ:[œDocumentœ,œBaseOutputParserœ],œtypeœ:œstrœ}\",\"data\":{\"targetHandle\":{\"fieldName\":\"html_markdown\",\"id\":\"PromptTemplate-l35W1\",\"inputTypes\":[\"Document\",\"BaseOutputParser\"],\"type\":\"str\"},\"sourceHandle\":{\"baseClasses\":[\"str\"],\"dataType\":\"CustomComponent\",\"id\":\"CustomComponent-ZNoRM\"}},\"style\":{\"stroke\":\"#555\"},\"className\":\"stroke-gray-900 stroke-connection\",\"animated\":false,\"id\":\"reactflow__edge-CustomComponent-ZNoRM{œbaseClassesœ:[œstrœ],œdataTypeœ:œCustomComponentœ,œidœ:œCustomComponent-ZNoRMœ}-PromptTemplate-l35W1{œfieldNameœ:œhtml_markdownœ,œidœ:œPromptTemplate-l35W1œ,œinputTypesœ:[œDocumentœ,œBaseOutputParserœ],œtypeœ:œstrœ}\",\"selected\":false},{\"source\":\"PromptTemplate-l35W1\",\"sourceHandle\":\"{œbaseClassesœ:[œStringPromptTemplateœ,œBasePromptTemplateœ,œPromptTemplateœ],œdataTypeœ:œPromptTemplateœ,œidœ:œPromptTemplate-l35W1œ}\",\"target\":\"LLMChain-cHel8\",\"targetHandle\":\"{œfieldNameœ:œpromptœ,œidœ:œLLMChain-cHel8œ,œinputTypesœ:null,œtypeœ:œBasePromptTemplateœ}\",\"data\":{\"targetHandle\":{\"fieldName\":\"prompt\",\"id\":\"LLMChain-cHel8\",\"inputTypes\":null,\"type\":\"BasePromptTemplate\"},\"sourceHandle\":{\"baseClasses\":[\"StringPromptTemplate\",\"BasePromptTemplate\",\"PromptTemplate\"],\"dataType\":\"PromptTemplate\",\"id\":\"PromptTemplate-l35W1\"}},\"style\":{\"stroke\":\"#555\"},\"className\":\"stroke-gray-900 stroke-connection\",\"animated\":false,\"id\":\"reactflow__edge-PromptTemplate-mJqEg{œbaseClassesœ:[œStringPromptTemplateœ,œBasePromptTemplateœ,œPromptTemplateœ],œdataTypeœ:œPromptTemplateœ,œidœ:œPromptTemplate-mJqEgœ}-LLMChain-cHel8{œfieldNameœ:œpromptœ,œidœ:œLLMChain-cHel8œ,œinputTypesœ:null,œtypeœ:œBasePromptTemplateœ}\"}],\"viewport\":{\"x\":206.6159172940935,\"y\":79.94375811155385,\"zoom\":0.5140569133280333}},\"is_component\":false,\"updated_at\":\"2023-12-06T00:23:04.515144\",\"folder\":null,\"id\":\"ecfb377a-7e88-405d-8d66-7560735ce446\",\"user_id\":\"d253bfba-6368-44dc-85f7-0d6da9e45968\"},{\"name\":\"Lonely Lovelace\",\"description\":\"Smart Chains, Smarter Conversations.\",\"data\":{\"nodes\":[],\"edges\":[],\"viewport\":{\"zoom\":1,\"x\":0,\"y\":0}},\"is_component\":false,\"updated_at\":\"2023-12-04T23:43:25.925753\",\"folder\":null,\"id\":\"30e71767-6128-40e4-9a6d-b9197b679971\",\"user_id\":\"d253bfba-6368-44dc-85f7-0d6da9e45968\"},{\"name\":\"Custom Component\",\"description\":\"Create any custom component you want!\",\"data\":{\"edges\":[],\"nodes\":[{\"data\":{\"type\":\"CustomComponent\",\"node\":{\"template\":{\"code\":{\"dynamic\":true,\"required\":true,\"placeholder\":\"\",\"show\":true,\"multiline\":true,\"value\":\"from langflow import CustomComponent\\nfrom langflow.field_typing import Data\\n\\n\\nclass Component(CustomComponent):\\n display_name: str = \\\"Custom Component\\\"\\n description: str = \\\"Create any custom component you want!\\\"\\n documentation: str = \\\"http://docs.langflow.org/components/custom\\\"\\n\\n def build_config(self):\\n return {\\\"param\\\": {\\\"display_name\\\": \\\"Parameter\\\"}}\\n\\n def build(self, param: Data) -> Data:\\n return param\\n\",\"password\":false,\"name\":\"code\",\"advanced\":false,\"type\":\"code\",\"list\":false},\"_type\":\"CustomComponent\",\"param\":{\"required\":true,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"password\":false,\"name\":\"param\",\"display_name\":\"Parameter\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"Data\",\"list\":false}},\"description\":\"Create any custom component you want!\",\"base_classes\":[\"Data\"],\"display_name\":\"Custom Component\",\"custom_fields\":{\"param\":null},\"output_types\":[\"CustomComponent\"],\"documentation\":\"http://docs.langflow.org/components/custom\",\"beta\":true,\"error\":null,\"official\":false},\"id\":\"CustomComponent-IxJqc\"},\"id\":\"CustomComponent-IxJqc\",\"position\":{\"x\":0,\"y\":0},\"type\":\"genericNode\"}],\"viewport\":{\"x\":1,\"y\":1,\"zoom\":1}},\"is_component\":true,\"updated_at\":\"2023-12-05T22:08:27.080204\",\"folder\":null,\"id\":\"f3c56abb-96d8-4a09-80d3-f60181661b3c\",\"user_id\":\"d253bfba-6368-44dc-85f7-0d6da9e45968\"},{\"name\":\"Amazing Wilson\",\"description\":\"Unfolding Linguistic Possibilities.\",\"data\":{\"nodes\":[],\"edges\":[],\"viewport\":{\"zoom\":1,\"x\":0,\"y\":0}},\"is_component\":false,\"updated_at\":\"2023-12-05T23:49:58.272677\",\"folder\":null,\"id\":\"324499a6-17a6-49de-96b1-b88955ed2c3d\",\"user_id\":\"d253bfba-6368-44dc-85f7-0d6da9e45968\"},{\"name\":\"Nauseous Kowalevski\",\"description\":\"Create, Curate, Communicate with Langflow.\",\"data\":{\"nodes\":[],\"edges\":[],\"viewport\":{\"zoom\":1,\"x\":0,\"y\":0}},\"is_component\":false,\"updated_at\":\"2023-12-06T22:45:27.084387\",\"folder\":null,\"id\":\"e3168485-d31b-472a-907f-faf833bf7824\",\"user_id\":\"d253bfba-6368-44dc-85f7-0d6da9e45968\"},{\"name\":\"Silly Fermi\",\"description\":\"Craft Meaningful Interactions, Generate Value.\",\"data\":{\"nodes\":[],\"edges\":[],\"viewport\":{\"zoom\":1,\"x\":0,\"y\":0}},\"is_component\":false,\"updated_at\":\"2023-12-06T22:45:57.134463\",\"folder\":null,\"id\":\"d0ecea5d-bcf9-4b8e-88f0-3c243d309336\",\"user_id\":\"d253bfba-6368-44dc-85f7-0d6da9e45968\"},{\"name\":\"Friendly Ardinghelli\",\"description\":\"Smart Chains, Smarter Conversations.\",\"data\":{\"nodes\":[],\"edges\":[],\"viewport\":{\"zoom\":1,\"x\":0,\"y\":0}},\"is_component\":false,\"updated_at\":\"2023-12-06T22:45:57.138184\",\"folder\":null,\"id\":\"a406912d-b0e2-4954-bef3-ee80c29eca3c\",\"user_id\":\"d253bfba-6368-44dc-85f7-0d6da9e45968\"},{\"name\":\"Gleeful Easley\",\"description\":\"Bridging Prompts for Brilliance.\",\"data\":{\"nodes\":[],\"edges\":[],\"viewport\":{\"zoom\":1,\"x\":0,\"y\":0}},\"is_component\":false,\"updated_at\":\"2023-12-06T22:45:57.162908\",\"folder\":null,\"id\":\"57b32155-4c6e-4823-ad03-8dd09d8abc62\",\"user_id\":\"d253bfba-6368-44dc-85f7-0d6da9e45968\"},{\"name\":\"Effervescent Varahamihira\",\"description\":\"Create, Chain, Communicate.\",\"data\":{\"nodes\":[],\"edges\":[],\"viewport\":{\"zoom\":1,\"x\":0,\"y\":0}},\"is_component\":false,\"updated_at\":\"2023-12-06T22:45:57.135644\",\"folder\":null,\"id\":\"18daa0ff-2e5d-457a-95d7-710affec5c4d\",\"user_id\":\"d253bfba-6368-44dc-85f7-0d6da9e45968\"},{\"name\":\"Jubilant Joliot\",\"description\":\"Language Architect at Work!\",\"data\":{\"nodes\":[],\"edges\":[],\"viewport\":{\"zoom\":1,\"x\":0,\"y\":0}},\"is_component\":false,\"updated_at\":\"2023-12-06T22:45:57.139496\",\"folder\":null,\"id\":\"9255e938-280e-4ce7-91cd-8622126a7d02\",\"user_id\":\"d253bfba-6368-44dc-85f7-0d6da9e45968\"},{\"name\":\"Adoring Carroll\",\"description\":\"Nurture NLP Nodes Here.\",\"data\":{\"nodes\":[],\"edges\":[],\"viewport\":{\"zoom\":1,\"x\":0,\"y\":0}},\"is_component\":false,\"updated_at\":\"2023-12-06T22:45:57.162240\",\"folder\":null,\"id\":\"a7a680b9-30b1-4438-ac24-da597de443aa\",\"user_id\":\"d253bfba-6368-44dc-85f7-0d6da9e45968\"},{\"name\":\"Berserk Herschel\",\"description\":\"Your Hub for Text Generation.\",\"data\":{\"nodes\":[],\"edges\":[],\"viewport\":{\"zoom\":1,\"x\":0,\"y\":0}},\"is_component\":false,\"updated_at\":\"2023-12-06T22:46:02.593504\",\"folder\":null,\"id\":\"37a439b0-7b1d-45e3-b4fa-5c73669bae3b\",\"user_id\":\"d253bfba-6368-44dc-85f7-0d6da9e45968\"},{\"name\":\"Distracted Joliot\",\"description\":\"Conversational Cartography Unlocked.\",\"data\":{\"nodes\":[],\"edges\":[],\"viewport\":{\"zoom\":1,\"x\":0,\"y\":0}},\"is_component\":false,\"updated_at\":\"2023-12-06T22:47:04.845238\",\"folder\":null,\"id\":\"4d23fd0a-8ad5-46b9-bb99-eed4138e7426\",\"user_id\":\"d253bfba-6368-44dc-85f7-0d6da9e45968\"},{\"name\":\"Happy Babbage\",\"description\":\"Flow into the Future of Language.\",\"data\":{\"nodes\":[],\"edges\":[],\"viewport\":{\"zoom\":1,\"x\":0,\"y\":0}},\"is_component\":false,\"updated_at\":\"2023-12-06T22:47:41.899665\",\"folder\":null,\"id\":\"1c8ad5b9-5524-41fe-a762-52c75126b832\",\"user_id\":\"d253bfba-6368-44dc-85f7-0d6da9e45968\"},{\"name\":\"Adoring Brown\",\"description\":\"Unlock the Power of AI in Your Business Conversations.\",\"data\":{\"nodes\":[],\"edges\":[],\"viewport\":{\"zoom\":1,\"x\":0,\"y\":0}},\"is_component\":false,\"updated_at\":\"2023-12-06T22:47:42.702031\",\"folder\":null,\"id\":\"9d4c8e79-4904-4a51-a4bb-146c3d8db10e\",\"user_id\":\"d253bfba-6368-44dc-85f7-0d6da9e45968\"},{\"name\":\"Focused Mahavira\",\"description\":\"Design, Develop, Dialogize.\",\"data\":{\"nodes\":[],\"edges\":[],\"viewport\":{\"zoom\":1,\"x\":0,\"y\":0}},\"is_component\":false,\"updated_at\":\"2023-12-06T22:47:42.786331\",\"folder\":null,\"id\":\"4ba370d1-1f8e-4a23-99aa-99e2cd9b7cbf\",\"user_id\":\"d253bfba-6368-44dc-85f7-0d6da9e45968\"},{\"name\":\"Mad Gates\",\"description\":\"Where Language Meets Logic.\",\"data\":{\"nodes\":[],\"edges\":[],\"viewport\":{\"zoom\":1,\"x\":0,\"y\":0}},\"is_component\":false,\"updated_at\":\"2023-12-06T22:47:42.838989\",\"folder\":null,\"id\":\"992c3cd3-1d79-4986-8c04-88a34130fa30\",\"user_id\":\"d253bfba-6368-44dc-85f7-0d6da9e45968\"},{\"name\":\"Serene Mcclintock\",\"description\":\"Unlock the Power of AI in Your Business Conversations.\",\"data\":{\"nodes\":[],\"edges\":[],\"viewport\":{\"zoom\":1,\"x\":0,\"y\":0}},\"is_component\":false,\"updated_at\":\"2023-12-06T22:47:42.932723\",\"folder\":null,\"id\":\"a65bfd13-44df-4090-aca0-5057e21e9997\",\"user_id\":\"d253bfba-6368-44dc-85f7-0d6da9e45968\"},{\"name\":\"Berserk Feynman\",\"description\":\"Text Generation Meets Business Transformation.\",\"data\":{\"nodes\":[],\"edges\":[],\"viewport\":{\"zoom\":1,\"x\":0,\"y\":0}},\"is_component\":false,\"updated_at\":\"2023-12-06T22:47:42.931359\",\"folder\":null,\"id\":\"7a05dac5-c005-411d-9994-19d61e71ce78\",\"user_id\":\"d253bfba-6368-44dc-85f7-0d6da9e45968\"},{\"name\":\"Sprightly Perlman\",\"description\":\"Interactive Language Weaving.\",\"data\":{\"nodes\":[],\"edges\":[],\"viewport\":{\"zoom\":1,\"x\":0,\"y\":0}},\"is_component\":false,\"updated_at\":\"2023-12-06T22:47:43.054687\",\"folder\":null,\"id\":\"6db24541-7211-48e6-a792-1a4a99a0ef90\",\"user_id\":\"d253bfba-6368-44dc-85f7-0d6da9e45968\"},{\"name\":\"Jolly Colden\",\"description\":\"Flow into the Future of Language.\",\"data\":{\"nodes\":[],\"edges\":[],\"viewport\":{\"zoom\":1,\"x\":0,\"y\":0}},\"is_component\":false,\"updated_at\":\"2023-12-06T22:47:43.078384\",\"folder\":null,\"id\":\"13ac42e8-9124-4bf4-9ea2-28671ef2d9a4\",\"user_id\":\"d253bfba-6368-44dc-85f7-0d6da9e45968\"},{\"name\":\"Gleeful Kaku\",\"description\":\"The Power of Language at Your Fingertips.\",\"data\":{\"nodes\":[],\"edges\":[],\"viewport\":{\"zoom\":1,\"x\":0,\"y\":0}},\"is_component\":false,\"updated_at\":\"2023-12-06T22:50:33.156776\",\"folder\":null,\"id\":\"79262d75-5c62-4b14-b067-f4297f5c912f\",\"user_id\":\"d253bfba-6368-44dc-85f7-0d6da9e45968\"},{\"name\":\"Jovial Khayyam\",\"description\":\"Empowering Communication, Enabling Opportunities.\",\"data\":{\"nodes\":[],\"edges\":[],\"viewport\":{\"zoom\":1,\"x\":0,\"y\":0}},\"is_component\":false,\"updated_at\":\"2023-12-06T22:51:13.295375\",\"folder\":null,\"id\":\"3b397e74-d8be-4728-9d6c-05f7c78106a7\",\"user_id\":\"d253bfba-6368-44dc-85f7-0d6da9e45968\"},{\"name\":\"Goofy Mccarthy\",\"description\":\"Building Powerful Solutions with Language Models.\",\"data\":{\"nodes\":[],\"edges\":[],\"viewport\":{\"zoom\":1,\"x\":0,\"y\":0}},\"is_component\":false,\"updated_at\":\"2023-12-06T22:51:27.632685\",\"folder\":null,\"id\":\"13f4e1fd-45eb-4271-92fd-0d70a31c61d2\",\"user_id\":\"d253bfba-6368-44dc-85f7-0d6da9e45968\"},{\"name\":\"Cocky Lalande\",\"description\":\"Building Intelligent Interactions.\",\"data\":{\"nodes\":[],\"edges\":[],\"viewport\":{\"zoom\":1,\"x\":0,\"y\":0}},\"is_component\":false,\"updated_at\":\"2023-12-06T22:51:54.628983\",\"folder\":null,\"id\":\"9cfd60d8-9311-47b0-b71b-f488f1940bc7\",\"user_id\":\"d253bfba-6368-44dc-85f7-0d6da9e45968\"},{\"name\":\"Romantic Mirzakhani\",\"description\":\"Innovation in Interaction with Langflow.\",\"data\":{\"nodes\":[],\"edges\":[],\"viewport\":{\"zoom\":1,\"x\":0,\"y\":0}},\"is_component\":false,\"updated_at\":\"2023-12-06T22:52:52.622698\",\"folder\":null,\"id\":\"0d849403-0f75-455d-b4e4-0d622ee3305a\",\"user_id\":\"d253bfba-6368-44dc-85f7-0d6da9e45968\"},{\"name\":\"Grinning Brown\",\"description\":\"Building Powerful Solutions with Language Models.\",\"data\":{\"nodes\":[],\"edges\":[],\"viewport\":{\"zoom\":1,\"x\":0,\"y\":0}},\"is_component\":false,\"updated_at\":\"2023-12-06T22:53:06.056636\",\"folder\":null,\"id\":\"8643ba14-52d6-4d36-9981-5fd37de5dd76\",\"user_id\":\"d253bfba-6368-44dc-85f7-0d6da9e45968\"},{\"name\":\"Kickass Watt\",\"description\":\"Transform Your Business with Smart Dialogues.\",\"data\":{\"nodes\":[],\"edges\":[],\"viewport\":{\"zoom\":1,\"x\":0,\"y\":0}},\"is_component\":false,\"updated_at\":\"2023-12-06T22:53:23.338727\",\"folder\":null,\"id\":\"818d3066-bf08-4bf9-adcd-739f8abbfa5d\",\"user_id\":\"d253bfba-6368-44dc-85f7-0d6da9e45968\"},{\"name\":\"Goofy Bose\",\"description\":\"Unravel the Art of Articulation.\",\"data\":{\"nodes\":[],\"edges\":[],\"viewport\":{\"zoom\":1,\"x\":0,\"y\":0}},\"is_component\":false,\"updated_at\":\"2023-12-06T22:53:41.218861\",\"folder\":null,\"id\":\"28eff43e-0ecf-47bf-9851-f1492589978e\",\"user_id\":\"d253bfba-6368-44dc-85f7-0d6da9e45968\"},{\"name\":\"Optimistic Jennings\",\"description\":\"Create Powerful Connections, Boost Business Value.\",\"data\":{\"nodes\":[],\"edges\":[],\"viewport\":{\"zoom\":1,\"x\":0,\"y\":0}},\"is_component\":false,\"updated_at\":\"2023-12-06T22:55:03.681106\",\"folder\":null,\"id\":\"68f59069-bc2a-464f-a983-4b61e32e01af\",\"user_id\":\"d253bfba-6368-44dc-85f7-0d6da9e45968\"},{\"name\":\"Pedantic Mirzakhani\",\"description\":\"Language Chainlink Master.\",\"data\":{\"nodes\":[],\"edges\":[],\"viewport\":{\"zoom\":1,\"x\":0,\"y\":0}},\"is_component\":false,\"updated_at\":\"2023-12-06T22:55:31.761949\",\"folder\":null,\"id\":\"5d981c0e-81b3-44cc-a5be-8f55b92bfed5\",\"user_id\":\"d253bfba-6368-44dc-85f7-0d6da9e45968\"},{\"name\":\"Peppy Murdock\",\"description\":\"Create Powerful Connections, Boost Business Value.\",\"data\":{\"nodes\":[],\"edges\":[],\"viewport\":{\"zoom\":1,\"x\":0,\"y\":0}},\"is_component\":false,\"updated_at\":\"2023-12-06T22:56:45.548598\",\"folder\":null,\"id\":\"e812ad47-47e8-422b-b94c-84fd0263c9c8\",\"user_id\":\"d253bfba-6368-44dc-85f7-0d6da9e45968\"},{\"name\":\"Berserk Fermat\",\"description\":\"Maximize Impact with Intelligent Conversations.\",\"data\":{\"nodes\":[],\"edges\":[],\"viewport\":{\"zoom\":1,\"x\":0,\"y\":0}},\"is_component\":false,\"updated_at\":\"2023-12-06T22:58:50.234270\",\"folder\":null,\"id\":\"82aaf449-e737-4699-9360-929ab6108dc7\",\"user_id\":\"d253bfba-6368-44dc-85f7-0d6da9e45968\"},{\"name\":\"Tiny Albattani\",\"description\":\"Your Toolkit for Text Generation.\",\"data\":{\"nodes\":[],\"edges\":[],\"viewport\":{\"zoom\":1,\"x\":0,\"y\":0}},\"is_component\":false,\"updated_at\":\"2023-12-06T22:59:53.946035\",\"folder\":null,\"id\":\"097cb080-274b-40ca-8dde-7900a949568a\",\"user_id\":\"d253bfba-6368-44dc-85f7-0d6da9e45968\"},{\"name\":\"Cranky Kirch\",\"description\":\"Sculpting Language with Precision.\",\"data\":{\"nodes\":[],\"edges\":[],\"viewport\":{\"zoom\":1,\"x\":0,\"y\":0}},\"is_component\":false,\"updated_at\":\"2023-12-06T23:00:51.745350\",\"folder\":null,\"id\":\"837d7b5f-8495-46a9-b00e-ad1b7ebb52f4\",\"user_id\":\"d253bfba-6368-44dc-85f7-0d6da9e45968\"},{\"name\":\"Effervescent Kowalevski\",\"description\":\"Empowering Language Engineering.\",\"data\":{\"nodes\":[],\"edges\":[],\"viewport\":{\"zoom\":1,\"x\":0,\"y\":0}},\"is_component\":false,\"updated_at\":\"2023-12-06T23:02:53.336102\",\"folder\":null,\"id\":\"3ff079c2-d9f9-4da6-a22a-423fa35670ff\",\"user_id\":\"d253bfba-6368-44dc-85f7-0d6da9e45968\"},{\"name\":\"Radiant Stallman\",\"description\":\"Navigate the Linguistic Landscape, Discover Opportunities.\",\"data\":{\"nodes\":[],\"edges\":[],\"viewport\":{\"zoom\":1,\"x\":0,\"y\":0}},\"is_component\":false,\"updated_at\":\"2023-12-06T23:03:28.268357\",\"folder\":null,\"id\":\"c8b204dd-3d57-4bc8-aa13-1d559672e75b\",\"user_id\":\"d253bfba-6368-44dc-85f7-0d6da9e45968\"},{\"name\":\"Grinning Swirles\",\"description\":\"Unleashing Linguistic Creativity.\",\"data\":{\"nodes\":[],\"edges\":[],\"viewport\":{\"zoom\":1,\"x\":0,\"y\":0}},\"is_component\":false,\"updated_at\":\"2023-12-06T23:03:51.194455\",\"folder\":null,\"id\":\"a097f083-5880-4cf7-986b-51898bc68e11\",\"user_id\":\"d253bfba-6368-44dc-85f7-0d6da9e45968\"},{\"name\":\"Dreamy Williams\",\"description\":\"Interactive Language Weaving.\",\"data\":{\"nodes\":[],\"edges\":[],\"viewport\":{\"zoom\":1,\"x\":0,\"y\":0}},\"is_component\":false,\"updated_at\":\"2023-12-06T23:04:36.678251\",\"folder\":null,\"id\":\"d9585f63-ce76-42ce-87bc-8e69601ea5c6\",\"user_id\":\"d253bfba-6368-44dc-85f7-0d6da9e45968\"},{\"name\":\"Zany Hawking\",\"description\":\"Flow into the Future of Language.\",\"data\":{\"nodes\":[],\"edges\":[],\"viewport\":{\"zoom\":1,\"x\":0,\"y\":0}},\"is_component\":false,\"updated_at\":\"2023-12-06T23:05:13.672479\",\"folder\":null,\"id\":\"612a01d5-8c8d-4cc1-8c54-35626b7f4a6d\",\"user_id\":\"d253bfba-6368-44dc-85f7-0d6da9e45968\"},{\"name\":\"Amazing Kilby\",\"description\":\"Your Toolkit for Text Generation.\",\"data\":{\"nodes\":[],\"edges\":[],\"viewport\":{\"zoom\":1,\"x\":0,\"y\":0}},\"is_component\":false,\"updated_at\":\"2023-12-06T23:10:37.047955\",\"folder\":null,\"id\":\"2d05a598-3cdf-452a-bd5d-b0e569e562e3\",\"user_id\":\"d253bfba-6368-44dc-85f7-0d6da9e45968\"},{\"name\":\"Insane Cori\",\"description\":\"Empowering Communication, Enabling Opportunities.\",\"data\":{\"nodes\":[],\"edges\":[],\"viewport\":{\"zoom\":1,\"x\":0,\"y\":0}},\"is_component\":false,\"updated_at\":\"2023-12-06T23:18:12.426578\",\"folder\":null,\"id\":\"d1769a4a-c1e9-4d74-9273-1e76cfcf21f3\",\"user_id\":\"d253bfba-6368-44dc-85f7-0d6da9e45968\"},{\"name\":\"Compassionate Tesla\",\"description\":\"Graph Your Way to Great Conversations.\",\"data\":{\"nodes\":[],\"edges\":[],\"viewport\":{\"zoom\":1,\"x\":0,\"y\":0}},\"is_component\":false,\"updated_at\":\"2023-12-06T23:18:52.806238\",\"folder\":null,\"id\":\"28c5d9dd-0466-4c80-9e58-b1e061cd358d\",\"user_id\":\"d253bfba-6368-44dc-85f7-0d6da9e45968\"},{\"name\":\"Jubilant Goldstine\",\"description\":\"Harness the Power of Conversational AI.\",\"data\":{\"nodes\":[],\"edges\":[],\"viewport\":{\"zoom\":1,\"x\":0,\"y\":0}},\"is_component\":false,\"updated_at\":\"2023-12-06T23:21:44.488510\",\"folder\":null,\"id\":\"b3c57e4f-28a1-4580-bf08-a9484bdd66e8\",\"user_id\":\"d253bfba-6368-44dc-85f7-0d6da9e45968\"},{\"name\":\"Elegant Curie\",\"description\":\"Building Intelligent Interactions.\",\"data\":{\"nodes\":[],\"edges\":[],\"viewport\":{\"zoom\":1,\"x\":0,\"y\":0}},\"is_component\":false,\"updated_at\":\"2023-12-07T00:23:47.610237\",\"folder\":null,\"id\":\"28fb024e-6ba1-4f5b-83b3-4742b3b8117c\",\"user_id\":\"d253bfba-6368-44dc-85f7-0d6da9e45968\"},{\"name\":\"Twinkly Chandrasekhar\",\"description\":\"Maximize Impact with Intelligent Conversations.\",\"data\":{\"nodes\":[],\"edges\":[],\"viewport\":{\"zoom\":1,\"x\":0,\"y\":0}},\"is_component\":false,\"updated_at\":\"2023-12-07T00:24:29.824530\",\"folder\":null,\"id\":\"d2b87cf7-9167-4030-8e9f-b8d9aa0cadee\",\"user_id\":\"d253bfba-6368-44dc-85f7-0d6da9e45968\"},{\"name\":\"Pensive Nobel\",\"description\":\"Crafting Dialogues that Drive Business Success.\",\"data\":{\"nodes\":[],\"edges\":[],\"viewport\":{\"zoom\":1,\"x\":0,\"y\":0}},\"is_component\":false,\"updated_at\":\"2023-12-07T00:26:51.210699\",\"folder\":null,\"id\":\"c2c9fbac-7d97-40c2-8055-dff608df9414\",\"user_id\":\"d253bfba-6368-44dc-85f7-0d6da9e45968\"},{\"name\":\"Elated Edison\",\"description\":\"Advanced NLP for Groundbreaking Business Solutions.\",\"data\":{\"nodes\":[],\"edges\":[],\"viewport\":{\"zoom\":1,\"x\":0,\"y\":0}},\"is_component\":false,\"updated_at\":\"2023-12-07T00:27:35.822482\",\"folder\":null,\"id\":\"a55561cd-4b25-473f-bde5-884cbabb0d24\",\"user_id\":\"d253bfba-6368-44dc-85f7-0d6da9e45968\"},{\"name\":\"Dazzling Lichterman\",\"description\":\"Building Linguistic Labyrinths.\",\"data\":{\"nodes\":[],\"edges\":[],\"viewport\":{\"zoom\":1,\"x\":0,\"y\":0}},\"is_component\":false,\"updated_at\":\"2023-12-07T00:29:09.259381\",\"folder\":null,\"id\":\"9c6fe6d4-8311-4fc6-8b02-2a816d7c059d\",\"user_id\":\"d253bfba-6368-44dc-85f7-0d6da9e45968\"},{\"name\":\"Distracted Bhaskara\",\"description\":\"Navigate the Networks of Conversation.\",\"data\":{\"nodes\":[],\"edges\":[],\"viewport\":{\"zoom\":1,\"x\":0,\"y\":0}},\"is_component\":false,\"updated_at\":\"2023-12-07T00:31:36.053452\",\"folder\":null,\"id\":\"ef6fc1ab-aff8-45a1-8cd5-bc8e38565e4d\",\"user_id\":\"d253bfba-6368-44dc-85f7-0d6da9e45968\"},{\"name\":\"Evil Watt\",\"description\":\"Building Intelligent Interactions.\",\"data\":{\"nodes\":[],\"edges\":[],\"viewport\":{\"zoom\":1,\"x\":0,\"y\":0}},\"is_component\":false,\"updated_at\":\"2023-12-07T00:32:26.765250\",\"folder\":null,\"id\":\"499b5351-9c09-4934-9f9d-a24be2fd8b24\",\"user_id\":\"d253bfba-6368-44dc-85f7-0d6da9e45968\"},{\"name\":\"Jolly Wien\",\"description\":\"Bridging Prompts for Brilliance.\",\"data\":{\"nodes\":[],\"edges\":[],\"viewport\":{\"zoom\":1,\"x\":0,\"y\":0}},\"is_component\":false,\"updated_at\":\"2023-12-07T00:33:23.648859\",\"folder\":null,\"id\":\"a57eda91-7f6e-410d-9990-385fe0c724f3\",\"user_id\":\"d253bfba-6368-44dc-85f7-0d6da9e45968\"},{\"name\":\"Nostalgic Spence\",\"description\":\"Mapping Meaningful Conversations.\",\"data\":{\"nodes\":[],\"edges\":[],\"viewport\":{\"zoom\":1,\"x\":0,\"y\":0}},\"is_component\":false,\"updated_at\":\"2023-12-07T00:34:22.576407\",\"folder\":null,\"id\":\"685f685e-8a1b-4b7e-9e21-6cdd72163c91\",\"user_id\":\"d253bfba-6368-44dc-85f7-0d6da9e45968\"},{\"name\":\"Comical Fermat\",\"description\":\"Create, Connect, Converse.\",\"data\":{\"nodes\":[],\"edges\":[],\"viewport\":{\"zoom\":1,\"x\":0,\"y\":0}},\"is_component\":false,\"updated_at\":\"2023-12-07T00:35:44.920540\",\"folder\":null,\"id\":\"3e061766-b834-4fa4-ba9c-b060925d9703\",\"user_id\":\"d253bfba-6368-44dc-85f7-0d6da9e45968\"},{\"name\":\"Grave Volta\",\"description\":\"Maximize Impact with Intelligent Conversations.\",\"data\":{\"nodes\":[],\"edges\":[],\"viewport\":{\"zoom\":1,\"x\":0,\"y\":0}},\"is_component\":false,\"updated_at\":\"2023-12-07T00:36:33.001572\",\"folder\":null,\"id\":\"135f2fd9-e005-40bc-a9bf-c25107388415\",\"user_id\":\"d253bfba-6368-44dc-85f7-0d6da9e45968\"},{\"name\":\"Gleeful Davinci\",\"description\":\"Create Powerful Connections, Boost Business Value.\",\"data\":{\"nodes\":[],\"edges\":[],\"viewport\":{\"zoom\":1,\"x\":0,\"y\":0}},\"is_component\":false,\"updated_at\":\"2023-12-07T00:37:16.208823\",\"folder\":null,\"id\":\"167cdb24-7e1c-475b-893a-cca2f125426c\",\"user_id\":\"d253bfba-6368-44dc-85f7-0d6da9e45968\"},{\"name\":\"Hilarious Sinoussi\",\"description\":\"Language Chainlink Master.\",\"data\":{\"nodes\":[],\"edges\":[],\"viewport\":{\"zoom\":1,\"x\":0,\"y\":0}},\"is_component\":false,\"updated_at\":\"2023-12-07T00:38:07.215401\",\"folder\":null,\"id\":\"48113cab-2c04-493f-8c2e-c8d067826aa2\",\"user_id\":\"d253bfba-6368-44dc-85f7-0d6da9e45968\"},{\"name\":\"Grave Sagan\",\"description\":\"Connect the Dots, Craft Language.\",\"data\":{\"nodes\":[],\"edges\":[],\"viewport\":{\"zoom\":1,\"x\":0,\"y\":0}},\"is_component\":false,\"updated_at\":\"2023-12-07T00:39:19.479656\",\"folder\":null,\"id\":\"28d292dc-e094-4ffe-a657-178892933267\",\"user_id\":\"d253bfba-6368-44dc-85f7-0d6da9e45968\"},{\"name\":\"Cranky Hoover\",\"description\":\"Crafting Dialogues that Drive Business Success.\",\"data\":{\"nodes\":[],\"edges\":[],\"viewport\":{\"zoom\":1,\"x\":0,\"y\":0}},\"is_component\":false,\"updated_at\":\"2023-12-07T00:40:02.895859\",\"folder\":null,\"id\":\"0c9849b7-b2d6-4d0e-8334-abfb3ae183dd\",\"user_id\":\"d253bfba-6368-44dc-85f7-0d6da9e45968\"},{\"name\":\"Evil Mendeleev\",\"description\":\"Unfolding Linguistic Possibilities.\",\"data\":{\"nodes\":[],\"edges\":[],\"viewport\":{\"zoom\":1,\"x\":0,\"y\":0}},\"is_component\":false,\"updated_at\":\"2023-12-07T00:40:27.867247\",\"folder\":null,\"id\":\"d78c52e9-1941-4555-9bb9-abd01f176705\",\"user_id\":\"d253bfba-6368-44dc-85f7-0d6da9e45968\"},{\"name\":\"Effervescent Dubinsky\",\"description\":\"Where Language Meets Logic.\",\"data\":{\"nodes\":[],\"edges\":[],\"viewport\":{\"zoom\":1,\"x\":0,\"y\":0}},\"is_component\":false,\"updated_at\":\"2023-12-07T00:41:23.177402\",\"folder\":null,\"id\":\"5277a04c-b5da-4597-aaa2-a6b66ea11d02\",\"user_id\":\"d253bfba-6368-44dc-85f7-0d6da9e45968\"},{\"name\":\"Cocky Poitras\",\"description\":\"Where Language Meets Logic.\",\"data\":{\"nodes\":[],\"edges\":[],\"viewport\":{\"zoom\":1,\"x\":0,\"y\":0}},\"is_component\":false,\"updated_at\":\"2023-12-07T00:42:08.731865\",\"folder\":null,\"id\":\"b0d0c8de-4eea-484a-a068-b13e63f7e71c\",\"user_id\":\"d253bfba-6368-44dc-85f7-0d6da9e45968\"},{\"name\":\"Pedantic Ptolemy\",\"description\":\"Crafting Conversations, One Node at a Time.\",\"data\":{\"nodes\":[],\"edges\":[],\"viewport\":{\"zoom\":1,\"x\":0,\"y\":0}},\"is_component\":false,\"updated_at\":\"2023-12-07T00:42:25.658996\",\"folder\":null,\"id\":\"b6f155e2-03eb-4232-9bab-145463382fe9\",\"user_id\":\"d253bfba-6368-44dc-85f7-0d6da9e45968\"},{\"name\":\"Loving Cray\",\"description\":\"Maximize Impact with Intelligent Conversations.\",\"data\":{\"nodes\":[],\"edges\":[],\"viewport\":{\"zoom\":1,\"x\":0,\"y\":0}},\"is_component\":false,\"updated_at\":\"2023-12-07T00:43:57.530112\",\"folder\":null,\"id\":\"b75c10ca-9ecb-432b-88ab-e1847e836e22\",\"user_id\":\"d253bfba-6368-44dc-85f7-0d6da9e45968\"},{\"name\":\"Effervescent Pasteur\",\"description\":\"Language Models, Mapped and Mastered.\",\"data\":{\"nodes\":[],\"edges\":[],\"viewport\":{\"zoom\":1,\"x\":0,\"y\":0}},\"is_component\":false,\"updated_at\":\"2023-12-07T00:44:58.979393\",\"folder\":null,\"id\":\"3710eccb-e7a7-41d5-9339-d9c301515d17\",\"user_id\":\"d253bfba-6368-44dc-85f7-0d6da9e45968\"},{\"name\":\"Pensive Gates\",\"description\":\"The Power of Language at Your Fingertips.\",\"data\":{\"nodes\":[],\"edges\":[],\"viewport\":{\"zoom\":1,\"x\":0,\"y\":0}},\"is_component\":false,\"updated_at\":\"2023-12-07T00:45:42.744174\",\"folder\":null,\"id\":\"fdd2271e-92f6-4349-8c01-2ec0e9e73f13\",\"user_id\":\"d253bfba-6368-44dc-85f7-0d6da9e45968\"},{\"name\":\"Determined Khorana\",\"description\":\"Beyond Text Generation - Unleashing Business Opportunities.\",\"data\":{\"nodes\":[],\"edges\":[],\"viewport\":{\"zoom\":1,\"x\":0,\"y\":0}},\"is_component\":false,\"updated_at\":\"2023-12-07T00:46:10.084684\",\"folder\":null,\"id\":\"88b49a97-0888-4fea-8d9b-6ac2cc6d158e\",\"user_id\":\"d253bfba-6368-44dc-85f7-0d6da9e45968\"},{\"name\":\"Lonely Booth\",\"description\":\"Design Dialogues with Langflow.\",\"data\":{\"nodes\":[],\"edges\":[],\"viewport\":{\"zoom\":1,\"x\":0,\"y\":0}},\"is_component\":false,\"updated_at\":\"2023-12-07T00:46:41.577750\",\"folder\":null,\"id\":\"629afe54-8796-45be-a570-e3ac79c60792\",\"user_id\":\"d253bfba-6368-44dc-85f7-0d6da9e45968\"},{\"name\":\"Jubilant Mendeleev\",\"description\":\"Chain the Words, Master Language!\",\"data\":{\"nodes\":[],\"edges\":[],\"viewport\":{\"zoom\":1,\"x\":0,\"y\":0}},\"is_component\":false,\"updated_at\":\"2023-12-07T00:47:22.631243\",\"folder\":null,\"id\":\"7bf481b0-73fe-4f5b-a3d4-1263d9d8e827\",\"user_id\":\"d253bfba-6368-44dc-85f7-0d6da9e45968\"},{\"name\":\"Clever Varahamihira\",\"description\":\"Building Powerful Solutions with Language Models.\",\"data\":{\"nodes\":[],\"edges\":[],\"viewport\":{\"zoom\":1,\"x\":0,\"y\":0}},\"is_component\":false,\"updated_at\":\"2023-12-07T00:49:51.026960\",\"folder\":null,\"id\":\"df9e86b6-56c9-4848-9010-102615314766\",\"user_id\":\"d253bfba-6368-44dc-85f7-0d6da9e45968\"},{\"name\":\"Sleepy Stallman\",\"description\":\"Empowering Language Engineering.\",\"data\":{\"nodes\":[],\"edges\":[],\"viewport\":{\"zoom\":1,\"x\":0,\"y\":0}},\"is_component\":false,\"updated_at\":\"2023-12-07T00:50:14.932236\",\"folder\":null,\"id\":\"3e66994c-9b7a-4b85-a917-65d1959d7352\",\"user_id\":\"d253bfba-6368-44dc-85f7-0d6da9e45968\"},{\"name\":\"Modest Wozniak\",\"description\":\"Advanced NLP for Groundbreaking Business Solutions.\",\"data\":{\"nodes\":[],\"edges\":[],\"viewport\":{\"zoom\":1,\"x\":0,\"y\":0}},\"is_component\":false,\"updated_at\":\"2023-12-07T00:51:13.811894\",\"folder\":null,\"id\":\"d10f924a-5780-4255-9f41-3e102ae03e84\",\"user_id\":\"d253bfba-6368-44dc-85f7-0d6da9e45968\"},{\"name\":\"Hopeful Mirzakhani\",\"description\":\"Graph Your Way to Great Conversations.\",\"data\":{\"nodes\":[],\"edges\":[],\"viewport\":{\"zoom\":1,\"x\":0,\"y\":0}},\"is_component\":false,\"updated_at\":\"2023-12-07T00:52:23.906908\",\"folder\":null,\"id\":\"f3378fa8-ccaf-4a3b-90d6-b8ab0c4e481f\",\"user_id\":\"d253bfba-6368-44dc-85f7-0d6da9e45968\"},{\"name\":\"Awesome Joule\",\"description\":\"Design, Develop, Dialogize.\",\"data\":{\"nodes\":[],\"edges\":[],\"viewport\":{\"zoom\":1,\"x\":0,\"y\":0}},\"is_component\":false,\"updated_at\":\"2023-12-07T00:52:43.863440\",\"folder\":null,\"id\":\"deaa50e7-a8b1-46b1-856c-334ee781e1c2\",\"user_id\":\"d253bfba-6368-44dc-85f7-0d6da9e45968\"},{\"name\":\"Peppy Shockley\",\"description\":\"Generate, Innovate, Communicate.\",\"data\":{\"nodes\":[],\"edges\":[],\"viewport\":{\"zoom\":1,\"x\":0,\"y\":0}},\"is_component\":false,\"updated_at\":\"2023-12-07T00:53:43.299699\",\"folder\":null,\"id\":\"c72eac2c-d924-40c6-a102-da524216d090\",\"user_id\":\"d253bfba-6368-44dc-85f7-0d6da9e45968\"},{\"name\":\"Zany Dewey\",\"description\":\"Flow into the Future of Language.\",\"data\":{\"nodes\":[],\"edges\":[],\"viewport\":{\"zoom\":1,\"x\":0,\"y\":0}},\"is_component\":false,\"updated_at\":\"2023-12-07T00:54:18.848827\",\"folder\":null,\"id\":\"d9425324-bb60-462e-b431-90a536f2bc76\",\"user_id\":\"d253bfba-6368-44dc-85f7-0d6da9e45968\"},{\"name\":\"Gloomy Joliot\",\"description\":\"Language Engineering Excellence.\",\"data\":{\"nodes\":[],\"edges\":[],\"viewport\":{\"zoom\":1,\"x\":0,\"y\":0}},\"is_component\":false,\"updated_at\":\"2023-12-07T00:58:12.348608\",\"folder\":null,\"id\":\"621ba134-3fac-487c-98cd-96941439f1be\",\"user_id\":\"d253bfba-6368-44dc-85f7-0d6da9e45968\"},{\"name\":\"Backstabbing Franklin\",\"description\":\"Craft Language Connections Here.\",\"data\":{\"nodes\":[],\"edges\":[],\"viewport\":{\"zoom\":1,\"x\":0,\"y\":0}},\"is_component\":false,\"updated_at\":\"2023-12-07T00:58:13.491824\",\"folder\":null,\"id\":\"86ca9773-c7b7-4a1a-859a-6cbe0ddff206\",\"user_id\":\"d253bfba-6368-44dc-85f7-0d6da9e45968\"},{\"name\":\"Sharp Swartz\",\"description\":\"Beyond Text Generation - Unleashing Business Opportunities.\",\"data\":{\"nodes\":[],\"edges\":[],\"viewport\":{\"zoom\":1,\"x\":0,\"y\":0}},\"is_component\":false,\"updated_at\":\"2023-12-07T00:58:13.524414\",\"folder\":null,\"id\":\"da1c02b7-d608-4498-9946-7d02f55fa103\",\"user_id\":\"d253bfba-6368-44dc-85f7-0d6da9e45968\"},{\"name\":\"Serene Volta\",\"description\":\"Connect the Dots, Craft Language.\",\"data\":{\"nodes\":[],\"edges\":[],\"viewport\":{\"zoom\":1,\"x\":0,\"y\":0}},\"is_component\":false,\"updated_at\":\"2023-12-07T00:58:13.641432\",\"folder\":null,\"id\":\"8d5dd998-6b51-4f65-8331-086a7f3b11d7\",\"user_id\":\"d253bfba-6368-44dc-85f7-0d6da9e45968\"},{\"name\":\"Focused Lichterman\",\"description\":\"Crafting Dialogues that Drive Business Success.\",\"data\":{\"nodes\":[],\"edges\":[],\"viewport\":{\"zoom\":1,\"x\":0,\"y\":0}},\"is_component\":false,\"updated_at\":\"2023-12-07T00:58:13.746120\",\"folder\":null,\"id\":\"942027d3-e2ea-48c6-8279-0a41b54e8862\",\"user_id\":\"d253bfba-6368-44dc-85f7-0d6da9e45968\"},{\"name\":\"Lively Einstein\",\"description\":\"Unleashing Linguistic Creativity.\",\"data\":{\"nodes\":[],\"edges\":[],\"viewport\":{\"zoom\":1,\"x\":0,\"y\":0}},\"is_component\":false,\"updated_at\":\"2023-12-07T00:58:13.746904\",\"folder\":null,\"id\":\"9e9b6298-1073-4297-8ecc-3c620b432e70\",\"user_id\":\"d253bfba-6368-44dc-85f7-0d6da9e45968\"},{\"name\":\"Cocky Planck\",\"description\":\"Empowering Language Engineering.\",\"data\":{\"nodes\":[],\"edges\":[],\"viewport\":{\"zoom\":1,\"x\":0,\"y\":0}},\"is_component\":false,\"updated_at\":\"2023-12-07T00:58:13.747420\",\"folder\":null,\"id\":\"7cd60c83-b797-4e60-af6d-cbc540657943\",\"user_id\":\"d253bfba-6368-44dc-85f7-0d6da9e45968\"},{\"name\":\"Suspicious Zobell\",\"description\":\"Innovation in Interaction, Revolution in Revenue.\",\"data\":{\"nodes\":[],\"edges\":[],\"viewport\":{\"zoom\":1,\"x\":0,\"y\":0}},\"is_component\":false,\"updated_at\":\"2023-12-07T00:58:13.749951\",\"folder\":null,\"id\":\"dab08306-9521-4e15-aa11-e6a6a4e210f8\",\"user_id\":\"d253bfba-6368-44dc-85f7-0d6da9e45968\"},{\"name\":\"Small Knuth\",\"description\":\"Nurture NLP Nodes Here.\",\"data\":{\"nodes\":[],\"edges\":[],\"viewport\":{\"zoom\":1,\"x\":0,\"y\":0}},\"is_component\":false,\"updated_at\":\"2023-12-07T00:59:16.772119\",\"folder\":null,\"id\":\"c9149590-636a-44f5-aaae-45a4e78fe4df\",\"user_id\":\"d253bfba-6368-44dc-85f7-0d6da9e45968\"},{\"name\":\"Evil Wright\",\"description\":\"Unfolding Linguistic Possibilities.\",\"data\":{\"nodes\":[],\"edges\":[],\"viewport\":{\"zoom\":1,\"x\":0,\"y\":0}},\"is_component\":false,\"updated_at\":\"2023-12-07T00:59:52.954568\",\"folder\":null,\"id\":\"6b23b2ad-c07c-46f6-b9ad-268783d1712e\",\"user_id\":\"d253bfba-6368-44dc-85f7-0d6da9e45968\"},{\"name\":\"Vibrant Lalande\",\"description\":\"Language Models, Mapped and Mastered.\",\"data\":{\"nodes\":[],\"edges\":[],\"viewport\":{\"zoom\":1,\"x\":0,\"y\":0}},\"is_component\":false,\"updated_at\":\"2023-12-07T00:59:53.656156\",\"folder\":null,\"id\":\"ece3bcf6-a147-4559-862e-cacff9db5f48\",\"user_id\":\"d253bfba-6368-44dc-85f7-0d6da9e45968\"},{\"name\":\"Happy Gauss\",\"description\":\"The Pinnacle of Prompt Generation.\",\"data\":{\"nodes\":[],\"edges\":[],\"viewport\":{\"zoom\":1,\"x\":0,\"y\":0}},\"is_component\":false,\"updated_at\":\"2023-12-07T00:59:53.717991\",\"folder\":null,\"id\":\"252b6021-ecad-4eaf-9e2f-106c4c89c496\",\"user_id\":\"d253bfba-6368-44dc-85f7-0d6da9e45968\"},{\"name\":\"Gigantic Rosalind\",\"description\":\"Building Powerful Solutions with Language Models.\",\"data\":{\"nodes\":[],\"edges\":[],\"viewport\":{\"zoom\":1,\"x\":0,\"y\":0}},\"is_component\":false,\"updated_at\":\"2023-12-07T00:59:53.736261\",\"folder\":null,\"id\":\"b8cb6d8d-c0fb-4e8d-a46e-2c608dc8a714\",\"user_id\":\"d253bfba-6368-44dc-85f7-0d6da9e45968\"},{\"name\":\"Adoring Hubble\",\"description\":\"Powerful Prompts, Perfectly Positioned.\",\"data\":{\"nodes\":[],\"edges\":[],\"viewport\":{\"zoom\":1,\"x\":0,\"y\":0}},\"is_component\":false,\"updated_at\":\"2023-12-07T00:59:53.769546\",\"folder\":null,\"id\":\"553a67db-7225-474c-978e-8a40cde2bfb2\",\"user_id\":\"d253bfba-6368-44dc-85f7-0d6da9e45968\"},{\"name\":\"Pensive Mclean\",\"description\":\"Unlock the Power of AI in Your Business Conversations.\",\"data\":{\"nodes\":[],\"edges\":[],\"viewport\":{\"zoom\":1,\"x\":0,\"y\":0}},\"is_component\":false,\"updated_at\":\"2023-12-07T00:59:53.981063\",\"folder\":null,\"id\":\"e0865007-4d80-4edf-87ab-9e8d2892d719\",\"user_id\":\"d253bfba-6368-44dc-85f7-0d6da9e45968\"},{\"name\":\"Trusting Murdock\",\"description\":\"Uncover Business Opportunities with NLP.\",\"data\":{\"nodes\":[],\"edges\":[],\"viewport\":{\"zoom\":1,\"x\":0,\"y\":0}},\"is_component\":false,\"updated_at\":\"2023-12-07T00:59:53.982286\",\"folder\":null,\"id\":\"1021cd20-66e0-4b81-9c79-bfe729774d20\",\"user_id\":\"d253bfba-6368-44dc-85f7-0d6da9e45968\"},{\"name\":\"Perky Riemann\",\"description\":\"Powerful Prompts, Perfectly Positioned.\",\"data\":{\"nodes\":[],\"edges\":[],\"viewport\":{\"zoom\":1,\"x\":0,\"y\":0}},\"is_component\":false,\"updated_at\":\"2023-12-07T00:59:53.983216\",\"folder\":null,\"id\":\"089074d3-8a1e-4d85-a59d-b4717090e4d3\",\"user_id\":\"d253bfba-6368-44dc-85f7-0d6da9e45968\"},{\"name\":\"Small Tesla\",\"description\":\"Language Models, Unleashed.\",\"data\":{\"nodes\":[],\"edges\":[],\"viewport\":{\"zoom\":1,\"x\":0,\"y\":0}},\"is_component\":false,\"updated_at\":\"2023-12-07T01:00:35.704142\",\"folder\":null,\"id\":\"beb49d88-255e-4db4-931b-4ab4358f1097\",\"user_id\":\"d253bfba-6368-44dc-85f7-0d6da9e45968\"},{\"name\":\"Effervescent Boyd\",\"description\":\"Smart Chains, Smarter Conversations.\",\"data\":{\"nodes\":[],\"edges\":[],\"viewport\":{\"zoom\":1,\"x\":0,\"y\":0}},\"is_component\":false,\"updated_at\":\"2023-12-07T01:01:13.569507\",\"folder\":null,\"id\":\"75b5ab8d-e0c0-43cf-912b-8578550e198a\",\"user_id\":\"d253bfba-6368-44dc-85f7-0d6da9e45968\"},{\"name\":\"Small Babbage\",\"description\":\"Interactive Language Weaving.\",\"data\":{\"nodes\":[],\"edges\":[],\"viewport\":{\"zoom\":1,\"x\":0,\"y\":0}},\"is_component\":false,\"updated_at\":\"2023-12-07T01:01:27.944868\",\"folder\":null,\"id\":\"503edd55-8f70-43e5-87fb-2324eaf62336\",\"user_id\":\"d253bfba-6368-44dc-85f7-0d6da9e45968\"},{\"name\":\"Lonely Bose\",\"description\":\"Crafting Dialogues that Drive Business Success.\",\"data\":{\"nodes\":[],\"edges\":[],\"viewport\":{\"zoom\":1,\"x\":0,\"y\":0}},\"is_component\":false,\"updated_at\":\"2023-12-07T01:02:40.122079\",\"folder\":null,\"id\":\"ae4f2992-1a23-4a43-bec6-68b823935762\",\"user_id\":\"d253bfba-6368-44dc-85f7-0d6da9e45968\"},{\"name\":\"Mirthful Coulomb\",\"description\":\"Craft Meaningful Interactions, Generate Value.\",\"data\":{\"nodes\":[],\"edges\":[],\"viewport\":{\"zoom\":1,\"x\":0,\"y\":0}},\"is_component\":false,\"updated_at\":\"2023-12-07T01:03:15.263237\",\"folder\":null,\"id\":\"a2a464db-b02a-4440-ad9e-7b552ee6c027\",\"user_id\":\"d253bfba-6368-44dc-85f7-0d6da9e45968\"},{\"name\":\"Drunk Newton\",\"description\":\"Craft Meaningful Interactions, Generate Value.\",\"data\":{\"nodes\":[],\"edges\":[],\"viewport\":{\"zoom\":1,\"x\":0,\"y\":0}},\"is_component\":false,\"updated_at\":\"2023-12-07T01:03:15.883766\",\"folder\":null,\"id\":\"1a5d9af7-5a96-4035-a09c-e15741785828\",\"user_id\":\"d253bfba-6368-44dc-85f7-0d6da9e45968\"},{\"name\":\"Jovial Pasteur\",\"description\":\"Your Hub for Text Generation.\",\"data\":{\"nodes\":[],\"edges\":[],\"viewport\":{\"zoom\":1,\"x\":0,\"y\":0}},\"is_component\":false,\"updated_at\":\"2023-12-07T01:03:15.933083\",\"folder\":null,\"id\":\"04b94873-0828-41dc-a850-fd4132c9b9f1\",\"user_id\":\"d253bfba-6368-44dc-85f7-0d6da9e45968\"},{\"name\":\"Playful Spence\",\"description\":\"Connect the Dots, Craft Language.\",\"data\":{\"nodes\":[],\"edges\":[],\"viewport\":{\"zoom\":1,\"x\":0,\"y\":0}},\"is_component\":false,\"updated_at\":\"2023-12-07T01:03:15.967685\",\"folder\":null,\"id\":\"47003dc2-7884-48a3-aa66-e4185079f4d9\",\"user_id\":\"d253bfba-6368-44dc-85f7-0d6da9e45968\"},{\"name\":\"Cheerful Noyce\",\"description\":\"Your Passport to Linguistic Landscapes.\",\"data\":{\"nodes\":[],\"edges\":[],\"viewport\":{\"zoom\":1,\"x\":0,\"y\":0}},\"is_component\":false,\"updated_at\":\"2023-12-07T01:03:15.983198\",\"folder\":null,\"id\":\"13769cb4-2e15-4d54-a28a-c97dc15db58c\",\"user_id\":\"d253bfba-6368-44dc-85f7-0d6da9e45968\"},{\"name\":\"Awesome Edison\",\"description\":\"Unfolding Linguistic Possibilities.\",\"data\":{\"nodes\":[],\"edges\":[],\"viewport\":{\"zoom\":1,\"x\":0,\"y\":0}},\"is_component\":false,\"updated_at\":\"2023-12-07T01:03:16.018879\",\"folder\":null,\"id\":\"453dacde-6b10-406b-a5b3-f90f44be6899\",\"user_id\":\"d253bfba-6368-44dc-85f7-0d6da9e45968\"},{\"name\":\"Upbeat Snyder\",\"description\":\"Powerful Prompts, Perfectly Positioned.\",\"data\":{\"nodes\":[],\"edges\":[],\"viewport\":{\"zoom\":1,\"x\":0,\"y\":0}},\"is_component\":false,\"updated_at\":\"2023-12-07T01:03:16.205689\",\"folder\":null,\"id\":\"9544fac9-3002-47aa-86b9-102844fe9649\",\"user_id\":\"d253bfba-6368-44dc-85f7-0d6da9e45968\"},{\"name\":\"Tender Khorana\",\"description\":\"Chain the Words, Master Language!\",\"data\":{\"nodes\":[],\"edges\":[],\"viewport\":{\"zoom\":1,\"x\":0,\"y\":0}},\"is_component\":false,\"updated_at\":\"2023-12-07T01:03:16.243434\",\"folder\":null,\"id\":\"90498ef6-34f9-45c8-8cd0-fe6a36a26f41\",\"user_id\":\"d253bfba-6368-44dc-85f7-0d6da9e45968\"},{\"name\":\"Elated Albattani\",\"description\":\"Interactive Language Weaving.\",\"data\":{\"nodes\":[],\"edges\":[],\"viewport\":{\"zoom\":1,\"x\":0,\"y\":0}},\"is_component\":false,\"updated_at\":\"2023-12-07T01:05:07.775497\",\"folder\":null,\"id\":\"9577c416-8ce8-48f6-ad6d-ab2e003bb415\",\"user_id\":\"d253bfba-6368-44dc-85f7-0d6da9e45968\"},{\"name\":\"Charming Goodall\",\"description\":\"Maximize Impact with Intelligent Conversations.\",\"data\":{\"nodes\":[],\"edges\":[],\"viewport\":{\"zoom\":1,\"x\":0,\"y\":0}},\"is_component\":false,\"updated_at\":\"2023-12-07T01:07:52.139318\",\"folder\":null,\"id\":\"f10dc08e-b9c7-44b3-8837-b95aee2f6dbb\",\"user_id\":\"d253bfba-6368-44dc-85f7-0d6da9e45968\"},{\"name\":\"Hilarious Ramanujan\",\"description\":\"Harness the Power of Conversational AI.\",\"data\":{\"nodes\":[],\"edges\":[],\"viewport\":{\"zoom\":1,\"x\":0,\"y\":0}},\"is_component\":false,\"updated_at\":\"2023-12-07T01:08:22.448480\",\"folder\":null,\"id\":\"c864bd8c-67cd-465f-bf7d-7a35c7df37f3\",\"user_id\":\"d253bfba-6368-44dc-85f7-0d6da9e45968\"},{\"name\":\"Tender Mclean\",\"description\":\"Unleashing Linguistic Creativity.\",\"data\":{\"nodes\":[],\"edges\":[],\"viewport\":{\"zoom\":1,\"x\":0,\"y\":0}},\"is_component\":false,\"updated_at\":\"2023-12-07T01:09:56.507826\",\"folder\":null,\"id\":\"f0c13b19-ae23-40e6-88d6-d135897ee100\",\"user_id\":\"d253bfba-6368-44dc-85f7-0d6da9e45968\"},{\"name\":\"Grave Hawking\",\"description\":\"Building Intelligent Interactions.\",\"data\":{\"nodes\":[],\"edges\":[],\"viewport\":{\"zoom\":1,\"x\":0,\"y\":0}},\"is_component\":false,\"updated_at\":\"2023-12-07T01:10:27.169757\",\"folder\":null,\"id\":\"0afb91b4-8f41-4270-900a-f5de647d45ad\",\"user_id\":\"d253bfba-6368-44dc-85f7-0d6da9e45968\"},{\"name\":\"Gloomy Lovelace\",\"description\":\"Your Passport to Linguistic Landscapes.\",\"data\":{\"nodes\":[],\"edges\":[],\"viewport\":{\"zoom\":1,\"x\":0,\"y\":0}},\"is_component\":false,\"updated_at\":\"2023-12-07T01:11:02.292233\",\"folder\":null,\"id\":\"0f1e5dcf-8769-4157-b495-5f215b490107\",\"user_id\":\"d253bfba-6368-44dc-85f7-0d6da9e45968\"},{\"name\":\"Fervent Kilby\",\"description\":\"Empowering Enterprises with Intelligent Interactions.\",\"data\":{\"nodes\":[],\"edges\":[],\"viewport\":{\"zoom\":1,\"x\":0,\"y\":0}},\"is_component\":false,\"updated_at\":\"2023-12-07T01:11:46.960966\",\"folder\":null,\"id\":\"310d03d9-dd50-4946-9a27-38ee06906212\",\"user_id\":\"d253bfba-6368-44dc-85f7-0d6da9e45968\"},{\"name\":\"Admiring Almeida\",\"description\":\"Language Models, Mapped and Mastered.\",\"data\":{\"nodes\":[],\"edges\":[],\"viewport\":{\"zoom\":1,\"x\":0,\"y\":0}},\"is_component\":false,\"updated_at\":\"2023-12-07T01:12:24.475101\",\"folder\":null,\"id\":\"3cbc8fc2-a86f-4177-9a1c-a833b2a24283\",\"user_id\":\"d253bfba-6368-44dc-85f7-0d6da9e45968\"},{\"name\":\"Elated Roentgen\",\"description\":\"Empowering Enterprises with Intelligent Interactions.\",\"data\":{\"nodes\":[],\"edges\":[],\"viewport\":{\"zoom\":1,\"x\":0,\"y\":0}},\"is_component\":false,\"updated_at\":\"2023-12-07T01:13:06.753571\",\"folder\":null,\"id\":\"c508e922-29e9-4234-84ae-505c5bdf41c1\",\"user_id\":\"d253bfba-6368-44dc-85f7-0d6da9e45968\"},{\"name\":\"Perky Poitras\",\"description\":\"Chain the Words, Master Language!\",\"data\":{\"nodes\":[],\"edges\":[],\"viewport\":{\"zoom\":1,\"x\":0,\"y\":0}},\"is_component\":false,\"updated_at\":\"2023-12-07T01:13:07.754605\",\"folder\":null,\"id\":\"1431df05-1b6f-41af-a063-a18d26a946ef\",\"user_id\":\"d253bfba-6368-44dc-85f7-0d6da9e45968\"},{\"name\":\"Tender Khayyam\",\"description\":\"Navigate the Linguistic Landscape, Discover Opportunities.\",\"data\":{\"nodes\":[],\"edges\":[],\"viewport\":{\"zoom\":1,\"x\":0,\"y\":0}},\"is_component\":false,\"updated_at\":\"2023-12-07T01:13:07.791627\",\"folder\":null,\"id\":\"344e03fb-fd49-4e87-be67-7dce04ba655b\",\"user_id\":\"d253bfba-6368-44dc-85f7-0d6da9e45968\"},{\"name\":\"Zealous Mayer\",\"description\":\"Navigate the Linguistic Landscape, Discover Opportunities.\",\"data\":{\"nodes\":[],\"edges\":[],\"viewport\":{\"zoom\":1,\"x\":0,\"y\":0}},\"is_component\":false,\"updated_at\":\"2023-12-07T01:13:07.803889\",\"folder\":null,\"id\":\"8b3ff1cb-3a6c-46ee-b09a-0e9f9f13a8b9\",\"user_id\":\"d253bfba-6368-44dc-85f7-0d6da9e45968\"},{\"name\":\"Tiny Ramanujan\",\"description\":\"Empowering Communication, Enabling Opportunities.\",\"data\":{\"nodes\":[],\"edges\":[],\"viewport\":{\"zoom\":1,\"x\":0,\"y\":0}},\"is_component\":false,\"updated_at\":\"2023-12-07T01:13:07.822583\",\"folder\":null,\"id\":\"18961e76-f4b1-4968-926a-fed22cb04f69\",\"user_id\":\"d253bfba-6368-44dc-85f7-0d6da9e45968\"},{\"name\":\"Cheerful Franklin\",\"description\":\"Building Intelligent Interactions.\",\"data\":{\"nodes\":[],\"edges\":[],\"viewport\":{\"zoom\":1,\"x\":0,\"y\":0}},\"is_component\":false,\"updated_at\":\"2023-12-07T01:13:07.854440\",\"folder\":null,\"id\":\"0e0ee854-ab46-4333-a848-2e1239a24334\",\"user_id\":\"d253bfba-6368-44dc-85f7-0d6da9e45968\"},{\"name\":\"Serene Swirles\",\"description\":\"Maximize Impact with Intelligent Conversations.\",\"data\":{\"nodes\":[],\"edges\":[],\"viewport\":{\"zoom\":1,\"x\":0,\"y\":0}},\"is_component\":false,\"updated_at\":\"2023-12-07T01:13:07.988932\",\"folder\":null,\"id\":\"cc7b8238-3d15-4f78-bd0c-8311691c9ff8\",\"user_id\":\"d253bfba-6368-44dc-85f7-0d6da9e45968\"},{\"name\":\"Sleepy Swartz\",\"description\":\"Uncover Business Opportunities with NLP.\",\"data\":{\"nodes\":[],\"edges\":[],\"viewport\":{\"zoom\":1,\"x\":0,\"y\":0}},\"is_component\":false,\"updated_at\":\"2023-12-07T01:13:08.028688\",\"folder\":null,\"id\":\"123369f9-c83c-4ed3-93b6-78ca29c271cf\",\"user_id\":\"d253bfba-6368-44dc-85f7-0d6da9e45968\"},{\"name\":\"Cranky Kowalevski\",\"description\":\"Unleashing Linguistic Creativity.\",\"data\":{\"nodes\":[],\"edges\":[],\"viewport\":{\"zoom\":1,\"x\":0,\"y\":0}},\"is_component\":false,\"updated_at\":\"2023-12-07T01:13:59.097607\",\"folder\":null,\"id\":\"ed4b1490-e9e5-46bf-b337-166b48eaadd6\",\"user_id\":\"d253bfba-6368-44dc-85f7-0d6da9e45968\"},{\"name\":\"Sprightly Golick\",\"description\":\"Building Powerful Solutions with Language Models.\",\"data\":{\"nodes\":[],\"edges\":[],\"viewport\":{\"zoom\":1,\"x\":0,\"y\":0}},\"is_component\":false,\"updated_at\":\"2023-12-07T01:13:59.617772\",\"folder\":null,\"id\":\"9d1be311-c618-4e3e-aeb1-4161ab37850e\",\"user_id\":\"d253bfba-6368-44dc-85f7-0d6da9e45968\"},{\"name\":\"Boring Newton\",\"description\":\"Generate, Innovate, Communicate.\",\"data\":{\"nodes\":[],\"edges\":[],\"viewport\":{\"zoom\":1,\"x\":0,\"y\":0}},\"is_component\":false,\"updated_at\":\"2023-12-07T01:13:59.646124\",\"folder\":null,\"id\":\"63a75f99-1745-40d3-9e27-3d19a143be45\",\"user_id\":\"d253bfba-6368-44dc-85f7-0d6da9e45968\"},{\"name\":\"Sprightly Noyce\",\"description\":\"Beyond Text Generation - Unleashing Business Opportunities.\",\"data\":{\"nodes\":[],\"edges\":[],\"viewport\":{\"zoom\":1,\"x\":0,\"y\":0}},\"is_component\":false,\"updated_at\":\"2023-12-07T01:13:59.685781\",\"folder\":null,\"id\":\"b418ca87-eb17-42e8-b789-3fcb0cab3ddb\",\"user_id\":\"d253bfba-6368-44dc-85f7-0d6da9e45968\"},{\"name\":\"Fluffy Fermat\",\"description\":\"Text Generation Meets Business Transformation.\",\"data\":{\"nodes\":[],\"edges\":[],\"viewport\":{\"zoom\":1,\"x\":0,\"y\":0}},\"is_component\":false,\"updated_at\":\"2023-12-07T01:13:59.705984\",\"folder\":null,\"id\":\"93802b07-eee9-4a2b-8691-7d9a231bd67e\",\"user_id\":\"d253bfba-6368-44dc-85f7-0d6da9e45968\"},{\"name\":\"Stoic Payne\",\"description\":\"Beyond Text Generation - Unleashing Business Opportunities.\",\"data\":{\"nodes\":[],\"edges\":[],\"viewport\":{\"zoom\":1,\"x\":0,\"y\":0}},\"is_component\":false,\"updated_at\":\"2023-12-07T01:13:59.723990\",\"folder\":null,\"id\":\"d62df661-0ae5-4b41-a9fb-71cb2e46ad52\",\"user_id\":\"d253bfba-6368-44dc-85f7-0d6da9e45968\"},{\"name\":\"Effervescent Darwin\",\"description\":\"Unleashing Linguistic Creativity.\",\"data\":{\"nodes\":[],\"edges\":[],\"viewport\":{\"zoom\":1,\"x\":0,\"y\":0}},\"is_component\":false,\"updated_at\":\"2023-12-07T01:13:59.818343\",\"folder\":null,\"id\":\"d1f62248-415c-474a-bfa6-3509a528a33b\",\"user_id\":\"d253bfba-6368-44dc-85f7-0d6da9e45968\"},{\"name\":\"Focused Thompson\",\"description\":\"Transform Your Business with Smart Dialogues.\",\"data\":{\"nodes\":[],\"edges\":[],\"viewport\":{\"zoom\":1,\"x\":0,\"y\":0}},\"is_component\":false,\"updated_at\":\"2023-12-07T01:13:59.925999\",\"folder\":null,\"id\":\"d2267176-f020-4c52-90a4-7f944d7c1749\",\"user_id\":\"d253bfba-6368-44dc-85f7-0d6da9e45968\"},{\"name\":\"Admiring Dewey\",\"description\":\"Navigate the Networks of Conversation.\",\"data\":{\"nodes\":[],\"edges\":[],\"viewport\":{\"zoom\":1,\"x\":0,\"y\":0}},\"is_component\":false,\"updated_at\":\"2023-12-07T01:15:07.400402\",\"folder\":null,\"id\":\"8cf1ac8d-d34d-4e8a-a9da-be44672e1dfb\",\"user_id\":\"d253bfba-6368-44dc-85f7-0d6da9e45968\"},{\"name\":\"Prickly Zuse\",\"description\":\"Where Language Meets Logic.\",\"data\":{\"nodes\":[],\"edges\":[],\"viewport\":{\"zoom\":1,\"x\":0,\"y\":0}},\"is_component\":false,\"updated_at\":\"2023-12-07T01:15:08.384611\",\"folder\":null,\"id\":\"bae3cb5b-0f1b-4e95-bf58-7eab38da3d73\",\"user_id\":\"d253bfba-6368-44dc-85f7-0d6da9e45968\"},{\"name\":\"Hungry Zuse\",\"description\":\"The Pinnacle of Prompt Generation.\",\"data\":{\"nodes\":[],\"edges\":[],\"viewport\":{\"zoom\":1,\"x\":0,\"y\":0}},\"is_component\":false,\"updated_at\":\"2023-12-07T01:15:08.436591\",\"folder\":null,\"id\":\"4dfafe3e-e9ef-405d-be72-550084411d69\",\"user_id\":\"d253bfba-6368-44dc-85f7-0d6da9e45968\"},{\"name\":\"Lonely Khayyam\",\"description\":\"Design Dialogues with Langflow.\",\"data\":{\"nodes\":[],\"edges\":[],\"viewport\":{\"zoom\":1,\"x\":0,\"y\":0}},\"is_component\":false,\"updated_at\":\"2023-12-07T01:15:08.435958\",\"folder\":null,\"id\":\"e0f81215-dc55-4b5a-b8cf-6e2fcbf297a7\",\"user_id\":\"d253bfba-6368-44dc-85f7-0d6da9e45968\"},{\"name\":\"Big Mendel\",\"description\":\"Innovation in Interaction with Langflow.\",\"data\":{\"nodes\":[],\"edges\":[],\"viewport\":{\"zoom\":1,\"x\":0,\"y\":0}},\"is_component\":false,\"updated_at\":\"2023-12-07T01:15:08.470080\",\"folder\":null,\"id\":\"5022a71c-da47-4975-a4d0-6d2d9e760d3d\",\"user_id\":\"d253bfba-6368-44dc-85f7-0d6da9e45968\"},{\"name\":\"Inquisitive Poitras\",\"description\":\"Navigate the Networks of Conversation.\",\"data\":{\"nodes\":[],\"edges\":[],\"viewport\":{\"zoom\":1,\"x\":0,\"y\":0}},\"is_component\":false,\"updated_at\":\"2023-12-07T01:15:08.484430\",\"folder\":null,\"id\":\"4f1ff9e3-3500-404c-80af-2010bc46cdcb\",\"user_id\":\"d253bfba-6368-44dc-85f7-0d6da9e45968\"},{\"name\":\"Joyous Jones\",\"description\":\"The Power of Language at Your Fingertips.\",\"data\":{\"nodes\":[],\"edges\":[],\"viewport\":{\"zoom\":1,\"x\":0,\"y\":0}},\"is_component\":false,\"updated_at\":\"2023-12-07T01:15:08.661306\",\"folder\":null,\"id\":\"77af3e47-c2cc-42f6-99e1-78589439a447\",\"user_id\":\"d253bfba-6368-44dc-85f7-0d6da9e45968\"},{\"name\":\"Exuberant Khayyam\",\"description\":\"Empowering Communication, Enabling Opportunities.\",\"data\":{\"nodes\":[],\"edges\":[],\"viewport\":{\"zoom\":1,\"x\":0,\"y\":0}},\"is_component\":false,\"updated_at\":\"2023-12-07T01:15:08.662877\",\"folder\":null,\"id\":\"6f3e2e56-b329-47e3-86cc-024c29203016\",\"user_id\":\"d253bfba-6368-44dc-85f7-0d6da9e45968\"},{\"name\":\"Dazzling Visvesvaraya\",\"description\":\"Maximize Impact with Intelligent Conversations.\",\"data\":{\"nodes\":[],\"edges\":[],\"viewport\":{\"zoom\":1,\"x\":0,\"y\":0}},\"is_component\":false,\"updated_at\":\"2023-12-07T01:16:10.092917\",\"folder\":null,\"id\":\"449ac0ee-ee29-4a9f-9aff-fd6a86624457\",\"user_id\":\"d253bfba-6368-44dc-85f7-0d6da9e45968\"},{\"name\":\"Nostalgic Tesla\",\"description\":\"Nurture NLP Nodes Here.\",\"data\":{\"nodes\":[],\"edges\":[],\"viewport\":{\"zoom\":1,\"x\":0,\"y\":0}},\"is_component\":false,\"updated_at\":\"2023-12-07T01:16:10.630382\",\"folder\":null,\"id\":\"a2136ed3-dc75-4a8f-ab34-6887ff955b23\",\"user_id\":\"d253bfba-6368-44dc-85f7-0d6da9e45968\"},{\"name\":\"Goofy Noether\",\"description\":\"Language Models, Unleashed.\",\"data\":{\"nodes\":[],\"edges\":[],\"viewport\":{\"zoom\":1,\"x\":0,\"y\":0}},\"is_component\":false,\"updated_at\":\"2023-12-07T01:16:10.652058\",\"folder\":null,\"id\":\"fd1080f8-db07-481a-b2ba-60f67fcb20a6\",\"user_id\":\"d253bfba-6368-44dc-85f7-0d6da9e45968\"},{\"name\":\"Dazzling Pasteur\",\"description\":\"Language Models, Unleashed.\",\"data\":{\"nodes\":[],\"edges\":[],\"viewport\":{\"zoom\":1,\"x\":0,\"y\":0}},\"is_component\":false,\"updated_at\":\"2023-12-07T01:16:10.688661\",\"folder\":null,\"id\":\"d534d5e1-92aa-4fb2-a795-7071c4feba47\",\"user_id\":\"d253bfba-6368-44dc-85f7-0d6da9e45968\"},{\"name\":\"Comical Sinoussi\",\"description\":\"Bridging Prompts for Brilliance.\",\"data\":{\"nodes\":[],\"edges\":[],\"viewport\":{\"zoom\":1,\"x\":0,\"y\":0}},\"is_component\":false,\"updated_at\":\"2023-12-07T01:16:10.741385\",\"folder\":null,\"id\":\"85323170-c066-4d8f-acb0-1b142241389e\",\"user_id\":\"d253bfba-6368-44dc-85f7-0d6da9e45968\"},{\"name\":\"Small Ramanujan\",\"description\":\"Uncover Business Opportunities with NLP.\",\"data\":{\"nodes\":[],\"edges\":[],\"viewport\":{\"zoom\":1,\"x\":0,\"y\":0}},\"is_component\":false,\"updated_at\":\"2023-12-07T01:16:10.790086\",\"folder\":null,\"id\":\"b0d18432-21ab-404b-acb6-57ef97353fad\",\"user_id\":\"d253bfba-6368-44dc-85f7-0d6da9e45968\"},{\"name\":\"Sick Joliot\",\"description\":\"Text Generation Meets Business Transformation.\",\"data\":{\"nodes\":[{\"width\":384,\"height\":442,\"id\":\"OpenAIEmbeddings-rVj1B\",\"type\":\"genericNode\",\"position\":{\"x\":-100.23754663035719,\"y\":-718.7575880388187},\"data\":{\"type\":\"OpenAIEmbeddings\",\"node\":{\"template\":{\"allowed_special\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"value\":[],\"password\":false,\"name\":\"allowed_special\",\"advanced\":true,\"dynamic\":false,\"info\":\"\",\"type\":\"str\",\"list\":true},\"async_client\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"password\":false,\"name\":\"async_client\",\"advanced\":true,\"dynamic\":false,\"info\":\"\",\"type\":\"Any\",\"list\":false},\"chunk_size\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"value\":1000,\"password\":false,\"name\":\"chunk_size\",\"advanced\":true,\"dynamic\":false,\"info\":\"\",\"type\":\"int\",\"list\":false},\"client\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"password\":false,\"name\":\"client\",\"advanced\":true,\"dynamic\":false,\"info\":\"\",\"type\":\"Any\",\"list\":false},\"default_headers\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"password\":false,\"name\":\"default_headers\",\"advanced\":true,\"dynamic\":false,\"info\":\"\",\"type\":\"dict\",\"list\":false},\"default_query\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"password\":false,\"name\":\"default_query\",\"advanced\":true,\"dynamic\":false,\"info\":\"\",\"type\":\"dict\",\"list\":false},\"deployment\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"value\":\"text-embedding-ada-002\",\"password\":false,\"name\":\"deployment\",\"advanced\":true,\"dynamic\":false,\"info\":\"\",\"type\":\"str\",\"list\":false},\"disallowed_special\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"value\":\"all\",\"password\":false,\"name\":\"disallowed_special\",\"advanced\":true,\"dynamic\":false,\"info\":\"\",\"type\":\"str\",\"list\":true},\"embedding_ctx_length\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"value\":8191,\"password\":false,\"name\":\"embedding_ctx_length\",\"advanced\":true,\"dynamic\":false,\"info\":\"\",\"type\":\"int\",\"list\":false},\"headers\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":true,\"value\":\"{\\\"Authorization\\\": \\\"Bearer \\\"}\",\"password\":false,\"name\":\"headers\",\"advanced\":true,\"dynamic\":false,\"info\":\"\",\"type\":\"Any\",\"list\":false},\"http_client\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"password\":false,\"name\":\"http_client\",\"advanced\":true,\"dynamic\":false,\"info\":\"\",\"type\":\"Any\",\"list\":false},\"max_retries\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"value\":2,\"password\":false,\"name\":\"max_retries\",\"advanced\":true,\"dynamic\":false,\"info\":\"\",\"type\":\"int\",\"list\":false},\"model\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"value\":\"text-embedding-ada-002\",\"password\":false,\"name\":\"model\",\"advanced\":true,\"dynamic\":false,\"info\":\"\",\"type\":\"str\",\"list\":false},\"model_kwargs\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"password\":false,\"name\":\"model_kwargs\",\"advanced\":true,\"dynamic\":false,\"info\":\"\",\"type\":\"dict\",\"list\":false},\"openai_api_base\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"password\":true,\"name\":\"openai_api_base\",\"display_name\":\"OpenAI API Base\",\"advanced\":true,\"dynamic\":false,\"info\":\"\",\"type\":\"str\",\"list\":false},\"openai_api_key\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"value\":\"\",\"password\":true,\"name\":\"openai_api_key\",\"display_name\":\"OpenAI API Key\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"str\",\"list\":false},\"openai_api_type\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"password\":true,\"name\":\"openai_api_type\",\"display_name\":\"OpenAI API Type\",\"advanced\":true,\"dynamic\":false,\"info\":\"\",\"type\":\"str\",\"list\":false},\"openai_api_version\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"password\":true,\"name\":\"openai_api_version\",\"display_name\":\"OpenAI API Version\",\"advanced\":true,\"dynamic\":false,\"info\":\"\",\"type\":\"str\",\"list\":false},\"openai_organization\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"password\":false,\"name\":\"openai_organization\",\"display_name\":\"OpenAI Organization\",\"advanced\":true,\"dynamic\":false,\"info\":\"\",\"type\":\"str\",\"list\":false},\"openai_proxy\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"password\":false,\"name\":\"openai_proxy\",\"display_name\":\"OpenAI Proxy\",\"advanced\":true,\"dynamic\":false,\"info\":\"\",\"type\":\"str\",\"list\":false},\"request_timeout\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"password\":false,\"name\":\"request_timeout\",\"advanced\":true,\"dynamic\":false,\"info\":\"\",\"type\":\"float\",\"list\":false},\"show_progress_bar\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"value\":false,\"password\":false,\"name\":\"show_progress_bar\",\"advanced\":true,\"dynamic\":false,\"info\":\"\",\"type\":\"bool\",\"list\":false},\"skip_empty\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"value\":false,\"password\":false,\"name\":\"skip_empty\",\"advanced\":true,\"dynamic\":false,\"info\":\"\",\"type\":\"bool\",\"list\":false},\"tiktoken_enabled\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"value\":true,\"password\":true,\"name\":\"tiktoken_enabled\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"bool\",\"list\":false},\"tiktoken_model_name\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"password\":true,\"name\":\"tiktoken_model_name\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"str\",\"list\":false},\"_type\":\"OpenAIEmbeddings\"},\"description\":\"OpenAI embedding models.\",\"base_classes\":[\"OpenAIEmbeddings\",\"Embeddings\"],\"display_name\":\"OpenAIEmbeddings\",\"custom_fields\":{},\"output_types\":[],\"documentation\":\"https://python.langchain.com/docs/modules/data_connection/text_embedding/integrations/openai\",\"beta\":false,\"error\":null},\"id\":\"OpenAIEmbeddings-rVj1B\"},\"selected\":true,\"dragging\":false,\"positionAbsolute\":{\"x\":-100.23754663035719,\"y\":-718.7575880388187}}],\"edges\":[],\"viewport\":{\"x\":267.7156633365312,\"y\":716.9644817529361,\"zoom\":0.7169776240079139}},\"is_component\":false,\"updated_at\":\"2023-12-08T18:52:26.999440\",\"folder\":null,\"id\":\"be39958a-ef42-4fa8-8e54-b611e56b5c97\",\"user_id\":\"d253bfba-6368-44dc-85f7-0d6da9e45968\"},{\"name\":\"Graceful Lumiere\",\"description\":\"Conversational Cartography Unlocked.\",\"data\":{\"nodes\":[],\"edges\":[],\"viewport\":{\"zoom\":1,\"x\":0,\"y\":0}},\"is_component\":false,\"updated_at\":\"2023-12-07T01:16:11.012069\",\"folder\":null,\"id\":\"f7dcecfd-533c-4f40-9dcb-f213962ed1a2\",\"user_id\":\"d253bfba-6368-44dc-85f7-0d6da9e45968\"},{\"name\":\"aaaaa\",\"description\":\"Text Generation Meets Business Transformation.\",\"data\":{\"nodes\":[{\"width\":384,\"height\":442,\"id\":\"OpenAIEmbeddings-P6Z0D\",\"type\":\"genericNode\",\"position\":{\"x\":-100.23754663035719,\"y\":-718.7575880388187},\"data\":{\"type\":\"OpenAIEmbeddings\",\"node\":{\"template\":{\"allowed_special\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"value\":[],\"password\":false,\"name\":\"allowed_special\",\"advanced\":true,\"dynamic\":false,\"info\":\"\",\"type\":\"str\",\"list\":true},\"async_client\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"password\":false,\"name\":\"async_client\",\"advanced\":true,\"dynamic\":false,\"info\":\"\",\"type\":\"Any\",\"list\":false},\"chunk_size\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"value\":1000,\"password\":false,\"name\":\"chunk_size\",\"advanced\":true,\"dynamic\":false,\"info\":\"\",\"type\":\"int\",\"list\":false},\"client\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"password\":false,\"name\":\"client\",\"advanced\":true,\"dynamic\":false,\"info\":\"\",\"type\":\"Any\",\"list\":false},\"default_headers\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"password\":false,\"name\":\"default_headers\",\"advanced\":true,\"dynamic\":false,\"info\":\"\",\"type\":\"dict\",\"list\":false},\"default_query\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"password\":false,\"name\":\"default_query\",\"advanced\":true,\"dynamic\":false,\"info\":\"\",\"type\":\"dict\",\"list\":false},\"deployment\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"value\":\"text-embedding-ada-002\",\"password\":false,\"name\":\"deployment\",\"advanced\":true,\"dynamic\":false,\"info\":\"\",\"type\":\"str\",\"list\":false},\"disallowed_special\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"value\":\"all\",\"password\":false,\"name\":\"disallowed_special\",\"advanced\":true,\"dynamic\":false,\"info\":\"\",\"type\":\"str\",\"list\":true},\"embedding_ctx_length\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"value\":8191,\"password\":false,\"name\":\"embedding_ctx_length\",\"advanced\":true,\"dynamic\":false,\"info\":\"\",\"type\":\"int\",\"list\":false},\"headers\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":true,\"value\":\"{\\\"Authorization\\\": \\\"Bearer \\\"}\",\"password\":false,\"name\":\"headers\",\"advanced\":true,\"dynamic\":false,\"info\":\"\",\"type\":\"Any\",\"list\":false},\"http_client\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"password\":false,\"name\":\"http_client\",\"advanced\":true,\"dynamic\":false,\"info\":\"\",\"type\":\"Any\",\"list\":false},\"max_retries\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"value\":2,\"password\":false,\"name\":\"max_retries\",\"advanced\":true,\"dynamic\":false,\"info\":\"\",\"type\":\"int\",\"list\":false},\"model\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"value\":\"text-embedding-ada-002\",\"password\":false,\"name\":\"model\",\"advanced\":true,\"dynamic\":false,\"info\":\"\",\"type\":\"str\",\"list\":false},\"model_kwargs\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"password\":false,\"name\":\"model_kwargs\",\"advanced\":true,\"dynamic\":false,\"info\":\"\",\"type\":\"dict\",\"list\":false},\"openai_api_base\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"password\":true,\"name\":\"openai_api_base\",\"display_name\":\"OpenAI API Base\",\"advanced\":true,\"dynamic\":false,\"info\":\"\",\"type\":\"str\",\"list\":false,\"value\":\"\"},\"openai_api_key\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"value\":\"\",\"password\":true,\"name\":\"openai_api_key\",\"display_name\":\"OpenAI API Key\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"str\",\"list\":false},\"openai_api_type\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"password\":true,\"name\":\"openai_api_type\",\"display_name\":\"OpenAI API Type\",\"advanced\":true,\"dynamic\":false,\"info\":\"\",\"type\":\"str\",\"list\":false,\"value\":\"\"},\"openai_api_version\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"password\":true,\"name\":\"openai_api_version\",\"display_name\":\"OpenAI API Version\",\"advanced\":true,\"dynamic\":false,\"info\":\"\",\"type\":\"str\",\"list\":false,\"value\":\"\"},\"openai_organization\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"password\":false,\"name\":\"openai_organization\",\"display_name\":\"OpenAI Organization\",\"advanced\":true,\"dynamic\":false,\"info\":\"\",\"type\":\"str\",\"list\":false},\"openai_proxy\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"password\":false,\"name\":\"openai_proxy\",\"display_name\":\"OpenAI Proxy\",\"advanced\":true,\"dynamic\":false,\"info\":\"\",\"type\":\"str\",\"list\":false},\"request_timeout\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"password\":false,\"name\":\"request_timeout\",\"advanced\":true,\"dynamic\":false,\"info\":\"\",\"type\":\"float\",\"list\":false},\"show_progress_bar\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"value\":false,\"password\":false,\"name\":\"show_progress_bar\",\"advanced\":true,\"dynamic\":false,\"info\":\"\",\"type\":\"bool\",\"list\":false},\"skip_empty\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"value\":false,\"password\":false,\"name\":\"skip_empty\",\"advanced\":true,\"dynamic\":false,\"info\":\"\",\"type\":\"bool\",\"list\":false},\"tiktoken_enabled\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"value\":true,\"password\":true,\"name\":\"tiktoken_enabled\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"bool\",\"list\":false},\"tiktoken_model_name\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"password\":true,\"name\":\"tiktoken_model_name\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"str\",\"list\":false,\"value\":\"\"},\"_type\":\"OpenAIEmbeddings\"},\"description\":\"OpenAI embedding models.\",\"base_classes\":[\"OpenAIEmbeddings\",\"Embeddings\"],\"display_name\":\"OpenAIEmbeddings\",\"custom_fields\":{},\"output_types\":[],\"documentation\":\"https://python.langchain.com/docs/modules/data_connection/text_embedding/integrations/openai\",\"beta\":false,\"error\":null},\"id\":\"OpenAIEmbeddings-P6Z0D\"},\"selected\":true,\"dragging\":false,\"positionAbsolute\":{\"x\":-100.23754663035719,\"y\":-718.7575880388187}}],\"edges\":[],\"viewport\":{\"x\":266.7156633365312,\"y\":657.9644817529361,\"zoom\":0.7169776240079139}},\"is_component\":false,\"updated_at\":\"2023-12-08T19:05:14.503144\",\"folder\":null,\"id\":\"c2411a20-57c6-44cc-a0d0-2c857453633d\",\"user_id\":\"d253bfba-6368-44dc-85f7-0d6da9e45968\"},{\"name\":\"Lively Aryabhata\",\"description\":\"Design, Develop, Dialogize.\",\"data\":{\"nodes\":[{\"width\":384,\"height\":459,\"id\":\"CustomComponent-Qhbd7\",\"type\":\"genericNode\",\"position\":{\"x\":-224.36198532285903,\"y\":-39.03047722134913},\"data\":{\"type\":\"CustomComponent\",\"node\":{\"template\":{\"code\":{\"dynamic\":true,\"required\":true,\"placeholder\":\"\",\"show\":true,\"multiline\":true,\"value\":\"from langflow import CustomComponent\\nfrom langflow.field_typing import Data\\nfrom openai import OpenAI\\n\\n\\nclass Component(CustomComponent):\\n display_name: str = \\\"OpenAI STT english translator\\\"\\n description: str = \\\"Transcript and translate any audio to english\\\"\\n documentation: str = \\\"http://docs.langflow.org/components/custom\\\"\\n\\n def build_config(self):\\n return {\\\"audio_path\\\":{\\\"display_name\\\":\\\"Audio path\\\",\\\"input_types\\\":[\\\"str\\\"]},\\\"openAI_key\\\":{\\\"display_name\\\":\\\"OpenAI key\\\",\\\"password\\\":True}}\\n\\n def build(self,audio_path:str,openAI_key:str) -> str:\\n client = OpenAI(api_key=openAI_key)\\n audio_file= open(audio_path, \\\"rb\\\")\\n transcript = client.audio.translations.create(\\n model=\\\"whisper-1\\\", \\n file=audio_file\\n )\\n self.status = transcript.text\\n return transcript.text\\n\",\"password\":false,\"name\":\"code\",\"advanced\":false,\"type\":\"code\",\"list\":false},\"_type\":\"CustomComponent\",\"audio_path\":{\"required\":true,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"password\":false,\"name\":\"audio_path\",\"display_name\":\"Audio path\",\"advanced\":false,\"input_types\":[\"str\"],\"dynamic\":false,\"info\":\"\",\"type\":\"str\",\"list\":false,\"value\":\"aaaaa\"},\"openAI_key\":{\"required\":true,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"password\":true,\"name\":\"openAI_key\",\"display_name\":\"OpenAI key\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"str\",\"list\":false,\"value\":\"\"}},\"description\":\"Transcript and translate any audio to english\",\"base_classes\":[\"str\"],\"display_name\":\"OpenAI STT english tra\",\"custom_fields\":{\"audio_path\":null,\"openAI_key\":null},\"output_types\":[\"str\"],\"documentation\":\"http://docs.langflow.org/components/custom\",\"beta\":true,\"error\":null,\"official\":false},\"id\":\"CustomComponent-Qhbd7\"},\"selected\":true,\"dragging\":false,\"positionAbsolute\":{\"x\":-224.36198532285903,\"y\":-39.03047722134913}}],\"edges\":[],\"viewport\":{\"x\":433.8372868055629,\"y\":250.9611989970935,\"zoom\":0.8467453123625275}},\"is_component\":false,\"updated_at\":\"2023-12-08T21:16:56.971879\",\"folder\":null,\"id\":\"122eee5d-9734-4e51-9da5-b39bead64a8d\",\"user_id\":\"d253bfba-6368-44dc-85f7-0d6da9e45968\"},{\"name\":\"Goofy Wing\",\"description\":\"Your Toolkit for Text Generation.\",\"data\":{\"nodes\":[],\"edges\":[],\"viewport\":{\"zoom\":1,\"x\":0,\"y\":0}},\"is_component\":false,\"updated_at\":\"2023-12-08T21:18:23.227017\",\"folder\":null,\"id\":\"171d0063-6446-4c6a-8f5b-786a38951d44\",\"user_id\":\"d253bfba-6368-44dc-85f7-0d6da9e45968\"},{\"name\":\"Mad Boyd\",\"description\":\"Empowering Language Engineering.\",\"data\":{\"nodes\":[],\"edges\":[],\"viewport\":{\"zoom\":1,\"x\":0,\"y\":0}},\"is_component\":false,\"updated_at\":\"2023-12-08T21:18:24.063781\",\"folder\":null,\"id\":\"3a7af50c-6555-4004-a86e-1ea37e477900\",\"user_id\":\"d253bfba-6368-44dc-85f7-0d6da9e45968\"},{\"name\":\"Boring Dewey\",\"description\":\"Unleashing Linguistic Creativity.\",\"data\":{\"nodes\":[],\"edges\":[],\"viewport\":{\"zoom\":1,\"x\":0,\"y\":0}},\"is_component\":false,\"updated_at\":\"2023-12-08T21:18:24.065404\",\"folder\":null,\"id\":\"dc4b4235-a550-41e2-9ddb-bcb352a1bc03\",\"user_id\":\"d253bfba-6368-44dc-85f7-0d6da9e45968\"},{\"name\":\"Nauseous Carroll\",\"description\":\"Navigate the Networks of Conversation.\",\"data\":{\"nodes\":[],\"edges\":[],\"viewport\":{\"zoom\":1,\"x\":0,\"y\":0}},\"is_component\":false,\"updated_at\":\"2023-12-08T21:18:24.087501\",\"folder\":null,\"id\":\"9550e2bf-db7a-41f5-84e5-177a181bbeda\",\"user_id\":\"d253bfba-6368-44dc-85f7-0d6da9e45968\"},{\"name\":\"Silly Engelbart\",\"description\":\"Generate, Innovate, Communicate.\",\"data\":{\"nodes\":[],\"edges\":[],\"viewport\":{\"zoom\":1,\"x\":0,\"y\":0}},\"is_component\":false,\"updated_at\":\"2023-12-08T21:18:24.112543\",\"folder\":null,\"id\":\"6a3a24bb-01cb-4d8e-8d17-0dc92d257322\",\"user_id\":\"d253bfba-6368-44dc-85f7-0d6da9e45968\"},{\"name\":\"Sassy Khayyam\",\"description\":\"Innovation in Interaction, Revolution in Revenue.\",\"data\":{\"nodes\":[],\"edges\":[],\"viewport\":{\"zoom\":1,\"x\":0,\"y\":0}},\"is_component\":false,\"updated_at\":\"2023-12-08T21:18:24.147631\",\"folder\":null,\"id\":\"8d372f5e-ca12-4ea8-a1a1-8846afa72692\",\"user_id\":\"d253bfba-6368-44dc-85f7-0d6da9e45968\"},{\"name\":\"Mirthful Bell\",\"description\":\"Connect the Dots, Craft Language.\",\"data\":{\"nodes\":[],\"edges\":[],\"viewport\":{\"zoom\":1,\"x\":0,\"y\":0}},\"is_component\":false,\"updated_at\":\"2023-12-08T21:18:24.212921\",\"folder\":null,\"id\":\"800f8785-0f41-4db3-aef8-9e3de5250526\",\"user_id\":\"d253bfba-6368-44dc-85f7-0d6da9e45968\"},{\"name\":\"Sleepy Bassi\",\"description\":\"Unleashing Business Potential through Language Engineering.\",\"data\":{\"nodes\":[],\"edges\":[],\"viewport\":{\"zoom\":1,\"x\":0,\"y\":0}},\"is_component\":false,\"updated_at\":\"2023-12-08T21:18:24.395729\",\"folder\":null,\"id\":\"4589607a-065b-4a8f-ba52-5045d7b04086\",\"user_id\":\"d253bfba-6368-44dc-85f7-0d6da9e45968\"},{\"name\":\"Lonely Volhard\",\"description\":\"Where Language Meets Logic.\",\"data\":{\"nodes\":[],\"edges\":[],\"viewport\":{\"zoom\":1,\"x\":0,\"y\":0}},\"is_component\":false,\"updated_at\":\"2023-12-08T21:20:33.263971\",\"folder\":null,\"id\":\"b2440ed8-44fa-4684-adf7-b5e84bff6577\",\"user_id\":\"d253bfba-6368-44dc-85f7-0d6da9e45968\"},{\"name\":\"Ecstatic Poincare\",\"description\":\"Your Passport to Linguistic Landscapes.\",\"data\":{\"nodes\":[],\"edges\":[],\"viewport\":{\"zoom\":1,\"x\":0,\"y\":0}},\"is_component\":false,\"updated_at\":\"2023-12-08T21:20:33.377270\",\"folder\":null,\"id\":\"b996f514-e0b8-432f-969b-7276630a8f4b\",\"user_id\":\"d253bfba-6368-44dc-85f7-0d6da9e45968\"},{\"name\":\"Grave Zuse\",\"description\":\"Text Generation Meets Business Transformation.\",\"data\":{\"nodes\":[],\"edges\":[],\"viewport\":{\"zoom\":1,\"x\":0,\"y\":0}},\"is_component\":false,\"updated_at\":\"2023-12-08T21:20:33.406385\",\"folder\":null,\"id\":\"6e2e9c12-0afc-499e-acdd-adf4b5f7d4fc\",\"user_id\":\"d253bfba-6368-44dc-85f7-0d6da9e45968\"},{\"name\":\"Big Hopper\",\"description\":\"Conversation Catalyst Engine.\",\"data\":{\"nodes\":[],\"edges\":[],\"viewport\":{\"zoom\":1,\"x\":0,\"y\":0}},\"is_component\":false,\"updated_at\":\"2023-12-08T21:20:33.413014\",\"folder\":null,\"id\":\"e020f1a5-aa12-45e7-ba50-6eb64a735e60\",\"user_id\":\"d253bfba-6368-44dc-85f7-0d6da9e45968\"},{\"name\":\"Gleeful Jang\",\"description\":\"Conversation Catalyst Engine.\",\"data\":{\"nodes\":[],\"edges\":[],\"viewport\":{\"zoom\":1,\"x\":0,\"y\":0}},\"is_component\":false,\"updated_at\":\"2023-12-08T21:20:33.433045\",\"folder\":null,\"id\":\"ee58f892-b7b2-408e-b4b9-9d862fc315aa\",\"user_id\":\"d253bfba-6368-44dc-85f7-0d6da9e45968\"},{\"name\":\"Twinkly Ohm\",\"description\":\"Promptly Ingenious!\",\"data\":{\"nodes\":[],\"edges\":[],\"viewport\":{\"zoom\":1,\"x\":0,\"y\":0}},\"is_component\":false,\"updated_at\":\"2023-12-08T21:20:33.403404\",\"folder\":null,\"id\":\"023a1fc3-8807-4167-b6b2-f4e5daf036f1\",\"user_id\":\"d253bfba-6368-44dc-85f7-0d6da9e45968\"},{\"name\":\"Distracted Degrasse\",\"description\":\"Bridging Prompts for Brilliance.\",\"data\":{\"nodes\":[],\"edges\":[],\"viewport\":{\"zoom\":1,\"x\":0,\"y\":0}},\"is_component\":false,\"updated_at\":\"2023-12-08T21:20:33.411655\",\"folder\":null,\"id\":\"085f106f-c1e9-4a0f-ba31-d2fafe685d9c\",\"user_id\":\"d253bfba-6368-44dc-85f7-0d6da9e45968\"},{\"name\":\"Exuberant Volta\",\"description\":\"Catalyzing Business Growth through Conversational AI.\",\"data\":{\"nodes\":[],\"edges\":[],\"viewport\":{\"zoom\":1,\"x\":0,\"y\":0}},\"is_component\":false,\"updated_at\":\"2023-12-08T21:20:33.408697\",\"folder\":null,\"id\":\"14481bb5-1353-452f-9359-d38c9419d79c\",\"user_id\":\"d253bfba-6368-44dc-85f7-0d6da9e45968\"},{\"name\":\"Goofy Bose\",\"description\":\"Conversational Cartography Unlocked.\",\"data\":{\"nodes\":[],\"edges\":[],\"viewport\":{\"zoom\":1,\"x\":0,\"y\":0}},\"is_component\":false,\"updated_at\":\"2023-12-08T21:22:21.774940\",\"folder\":null,\"id\":\"e9316292-4ee1-441b-8327-0b09a7831fe9\",\"user_id\":\"d253bfba-6368-44dc-85f7-0d6da9e45968\"},{\"name\":\"Thirsty Easley\",\"description\":\"Language Models, Mapped and Mastered.\",\"data\":{\"nodes\":[],\"edges\":[],\"viewport\":{\"zoom\":1,\"x\":0,\"y\":0}},\"is_component\":false,\"updated_at\":\"2023-12-08T21:22:22.416556\",\"folder\":null,\"id\":\"668806ba-3efa-44de-aeb7-4ac082ba9172\",\"user_id\":\"d253bfba-6368-44dc-85f7-0d6da9e45968\"},{\"name\":\"Joyous Mestorf\",\"description\":\"Generate, Innovate, Communicate.\",\"data\":{\"nodes\":[],\"edges\":[],\"viewport\":{\"zoom\":1,\"x\":0,\"y\":0}},\"is_component\":false,\"updated_at\":\"2023-12-08T21:22:22.484048\",\"folder\":null,\"id\":\"3fc0a371-aada-4450-9d17-33d3cc05c870\",\"user_id\":\"d253bfba-6368-44dc-85f7-0d6da9e45968\"},{\"name\":\"Playful Franklin\",\"description\":\"Empowering Language Engineering.\",\"data\":{\"nodes\":[],\"edges\":[],\"viewport\":{\"zoom\":1,\"x\":0,\"y\":0}},\"is_component\":false,\"updated_at\":\"2023-12-08T21:22:22.509095\",\"folder\":null,\"id\":\"af967c98-5f08-4ee2-b1ce-6c16b4f9ebe2\",\"user_id\":\"d253bfba-6368-44dc-85f7-0d6da9e45968\"},{\"name\":\"Goofy Bhaskara\",\"description\":\"Empowering Enterprises with Intelligent Interactions.\",\"data\":{\"nodes\":[],\"edges\":[],\"viewport\":{\"zoom\":1,\"x\":0,\"y\":0}},\"is_component\":false,\"updated_at\":\"2023-12-08T21:22:22.508465\",\"folder\":null,\"id\":\"758c4164-b521-45d0-a15f-d49480e312eb\",\"user_id\":\"d253bfba-6368-44dc-85f7-0d6da9e45968\"},{\"name\":\"Funky Edison\",\"description\":\"Unravel the Art of Articulation.\",\"data\":{\"nodes\":[],\"edges\":[],\"viewport\":{\"zoom\":1,\"x\":0,\"y\":0}},\"is_component\":false,\"updated_at\":\"2023-12-08T21:22:22.602296\",\"folder\":null,\"id\":\"f9d3d30f-8859-433f-bafc-ccf1a7196e35\",\"user_id\":\"d253bfba-6368-44dc-85f7-0d6da9e45968\"},{\"name\":\"Silly Ride\",\"description\":\"Unfolding Linguistic Possibilities.\",\"data\":{\"nodes\":[],\"edges\":[],\"viewport\":{\"zoom\":1,\"x\":0,\"y\":0}},\"is_component\":false,\"updated_at\":\"2023-12-08T21:22:22.604061\",\"folder\":null,\"id\":\"0142bca5-eb61-42ed-9917-70c4c0f54eb0\",\"user_id\":\"d253bfba-6368-44dc-85f7-0d6da9e45968\"},{\"name\":\"Goofy Noyce\",\"description\":\"Text Generation Meets Business Transformation.\",\"data\":{\"nodes\":[],\"edges\":[],\"viewport\":{\"zoom\":1,\"x\":0,\"y\":0}},\"is_component\":false,\"updated_at\":\"2023-12-08T21:22:22.603113\",\"folder\":null,\"id\":\"0b63d036-4669-4ceb-8ea4-34035340df77\",\"user_id\":\"d253bfba-6368-44dc-85f7-0d6da9e45968\"},{\"name\":\"Cocky Bhabha\",\"description\":\"Language Engineering Excellence.\",\"data\":{\"nodes\":[],\"edges\":[],\"viewport\":{\"zoom\":1,\"x\":0,\"y\":0}},\"is_component\":false,\"updated_at\":\"2023-12-08T21:23:07.345767\",\"folder\":null,\"id\":\"8b9a66d4-a924-4b84-a2b5-5dd0645ac07a\",\"user_id\":\"d253bfba-6368-44dc-85f7-0d6da9e45968\"},{\"name\":\"Thirsty Zobell\",\"description\":\"Unleashing Business Potential through Language Engineering.\",\"data\":{\"nodes\":[],\"edges\":[],\"viewport\":{\"zoom\":1,\"x\":0,\"y\":0}},\"is_component\":false,\"updated_at\":\"2023-12-08T21:23:07.722319\",\"folder\":null,\"id\":\"c912fd6b-b32d-409f-a0e5-c6249b066429\",\"user_id\":\"d253bfba-6368-44dc-85f7-0d6da9e45968\"},{\"name\":\"Fervent Shaw\",\"description\":\"Language Architect at Work!\",\"data\":{\"nodes\":[],\"edges\":[],\"viewport\":{\"zoom\":1,\"x\":0,\"y\":0}},\"is_component\":false,\"updated_at\":\"2023-12-08T21:23:07.750779\",\"folder\":null,\"id\":\"9d755cd4-c652-43e0-a68d-75a5475ce7a3\",\"user_id\":\"d253bfba-6368-44dc-85f7-0d6da9e45968\"},{\"name\":\"Giggly Newton\",\"description\":\"Navigate the Linguistic Landscape, Discover Opportunities.\",\"data\":{\"nodes\":[],\"edges\":[],\"viewport\":{\"zoom\":1,\"x\":0,\"y\":0}},\"is_component\":false,\"updated_at\":\"2023-12-08T21:23:07.786602\",\"folder\":null,\"id\":\"0d3af7de-1ada-4c43-a69f-1bfad370ccfc\",\"user_id\":\"d253bfba-6368-44dc-85f7-0d6da9e45968\"},{\"name\":\"Modest Yalow\",\"description\":\"Text Generation Meets Business Transformation.\",\"data\":{\"nodes\":[],\"edges\":[],\"viewport\":{\"zoom\":1,\"x\":0,\"y\":0}},\"is_component\":false,\"updated_at\":\"2023-12-08T21:23:07.792245\",\"folder\":null,\"id\":\"b6444376-4162-436b-8b40-f5a6afc850db\",\"user_id\":\"d253bfba-6368-44dc-85f7-0d6da9e45968\"},{\"name\":\"Sad Bhabha\",\"description\":\"Empowering Enterprises with Intelligent Interactions.\",\"data\":{\"nodes\":[],\"edges\":[],\"viewport\":{\"zoom\":1,\"x\":0,\"y\":0}},\"is_component\":false,\"updated_at\":\"2023-12-08T21:23:07.890349\",\"folder\":null,\"id\":\"d90af439-fb34-4d27-98f2-06f7f9a9ed8c\",\"user_id\":\"d253bfba-6368-44dc-85f7-0d6da9e45968\"},{\"name\":\"Spirited Hoover\",\"description\":\"The Pinnacle of Prompt Generation.\",\"data\":{\"nodes\":[],\"edges\":[],\"viewport\":{\"zoom\":1,\"x\":0,\"y\":0}},\"is_component\":false,\"updated_at\":\"2023-12-08T21:23:07.905750\",\"folder\":null,\"id\":\"31597ce2-de3c-490b-9ead-3f702f63cfd9\",\"user_id\":\"d253bfba-6368-44dc-85f7-0d6da9e45968\"},{\"name\":\"Trusting Davinci\",\"description\":\"Design, Develop, Dialogize.\",\"data\":{\"nodes\":[],\"edges\":[],\"viewport\":{\"zoom\":1,\"x\":0,\"y\":0}},\"is_component\":false,\"updated_at\":\"2023-12-08T21:23:08.001400\",\"folder\":null,\"id\":\"b43c63e9-a257-4a53-8acc-049e13706ac2\",\"user_id\":\"d253bfba-6368-44dc-85f7-0d6da9e45968\"},{\"name\":\"23\",\"description\":\"23\",\"data\":{\"nodes\":[{\"width\":384,\"height\":467,\"id\":\"PromptTemplate-K7xiS\",\"type\":\"genericNode\",\"position\":{\"x\":-658.2250903773149,\"y\":809.352046606987},\"data\":{\"type\":\"PromptTemplate\",\"node\":{\"template\":{\"output_parser\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"password\":false,\"name\":\"output_parser\",\"advanced\":false,\"dynamic\":true,\"info\":\"\",\"type\":\"BaseOutputParser\",\"list\":false},\"input_types\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"password\":false,\"name\":\"input_types\",\"advanced\":false,\"dynamic\":true,\"info\":\"\",\"type\":\"dict\",\"list\":false},\"input_variables\":{\"required\":true,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"password\":false,\"name\":\"input_variables\",\"advanced\":false,\"dynamic\":true,\"info\":\"\",\"type\":\"str\",\"list\":true,\"value\":[\"dasdas\",\"dasdasd\"]},\"partial_variables\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"password\":false,\"name\":\"partial_variables\",\"advanced\":false,\"dynamic\":true,\"info\":\"\",\"type\":\"dict\",\"list\":false},\"template\":{\"required\":true,\"placeholder\":\"\",\"show\":true,\"multiline\":true,\"password\":false,\"name\":\"template\",\"advanced\":false,\"dynamic\":true,\"info\":\"\",\"type\":\"prompt\",\"list\":false,\"value\":\"{dasdas}\\n{dasdasd}\\n\"},\"template_format\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"value\":\"f-string\",\"password\":false,\"name\":\"template_format\",\"advanced\":false,\"dynamic\":true,\"info\":\"\",\"type\":\"str\",\"list\":false},\"validate_template\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"value\":false,\"password\":false,\"name\":\"validate_template\",\"advanced\":false,\"dynamic\":true,\"info\":\"\",\"type\":\"bool\",\"list\":false},\"_type\":\"PromptTemplate\",\"dasdas\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":true,\"value\":\"\",\"password\":false,\"name\":\"dasdas\",\"display_name\":\"dasdas\",\"advanced\":false,\"input_types\":[\"Document\",\"BaseOutputParser\"],\"dynamic\":false,\"info\":\"\",\"type\":\"str\",\"list\":false},\"dasdasd\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":true,\"value\":\"\",\"password\":false,\"name\":\"dasdasd\",\"display_name\":\"dasdasd\",\"advanced\":false,\"input_types\":[\"Document\",\"BaseOutputParser\"],\"dynamic\":false,\"info\":\"\",\"type\":\"str\",\"list\":false}},\"description\":\"A prompt template for a language model.\",\"base_classes\":[\"PromptTemplate\",\"BasePromptTemplate\",\"StringPromptTemplate\"],\"name\":\"\",\"display_name\":\"PromptTemplate\",\"documentation\":\"https://python.langchain.com/docs/modules/model_io/prompts/prompt_templates/\",\"custom_fields\":{\"\":[\"dasdas\",\"dasdasd\"]},\"output_types\":[],\"full_path\":null,\"field_formatters\":{},\"beta\":false,\"error\":null},\"id\":\"PromptTemplate-K7xiS\"},\"selected\":false,\"positionAbsolute\":{\"x\":-658.2250903773149,\"y\":809.352046606987},\"dragging\":false},{\"width\":384,\"height\":366,\"id\":\"AirbyteJSONLoader-DXfcM\",\"type\":\"genericNode\",\"position\":{\"x\":-1110.8267574563533,\"y\":569.1107380883907},\"data\":{\"type\":\"AirbyteJSONLoader\",\"node\":{\"template\":{\"file_path\":{\"required\":true,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"value\":\"\",\"suffixes\":[\".json\"],\"password\":false,\"name\":\"file_path\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"file\",\"list\":false,\"fileTypes\":[\"json\"],\"file_path\":null},\"metadata\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"value\":[{\"\":\"\"}],\"password\":false,\"name\":\"metadata\",\"display_name\":\"Metadata\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"dict\",\"list\":false},\"_type\":\"AirbyteJSONLoader\"},\"description\":\"Load local `Airbyte` json files.\",\"base_classes\":[\"Document\"],\"display_name\":\"AirbyteJSONLoader\",\"custom_fields\":{},\"output_types\":[\"Document\"],\"documentation\":\"https://python.langchain.com/docs/modules/data_connection/document_loaders/integrations/airbyte_json\",\"beta\":false,\"error\":null,\"official\":false},\"id\":\"AirbyteJSONLoader-DXfcM\"},\"selected\":false,\"positionAbsolute\":{\"x\":-1110.8267574563533,\"y\":569.1107380883907},\"dragging\":false},{\"width\":384,\"height\":376,\"id\":\"PromptRunner-ckWMH\",\"type\":\"genericNode\",\"position\":{\"x\":-1149.4746387825978,\"y\":992.3970573758324},\"data\":{\"type\":\"PromptRunner\",\"node\":{\"template\":{\"code\":{\"dynamic\":true,\"required\":true,\"placeholder\":\"\",\"show\":false,\"multiline\":true,\"value\":\"from langflow import CustomComponent\\n\\nfrom langchain.llms.base import BaseLLM\\nfrom langchain.prompts import PromptTemplate\\nfrom langchain.schema import Document\\n\\n\\nclass PromptRunner(CustomComponent):\\n display_name: str = \\\"Prompt Runner\\\"\\n description: str = \\\"Run a Chain with the given PromptTemplate\\\"\\n beta: bool = True\\n field_config = {\\n \\\"llm\\\": {\\\"display_name\\\": \\\"LLM\\\"},\\n \\\"prompt\\\": {\\n \\\"display_name\\\": \\\"Prompt Template\\\",\\n \\\"info\\\": \\\"Make sure the prompt has all variables filled.\\\",\\n },\\n \\\"code\\\": {\\\"show\\\": False},\\n }\\n\\n def build(self, llm: BaseLLM, prompt: PromptTemplate, inputs: dict = {}) -> Document:\\n chain = prompt | llm\\n # The input is an empty dict because the prompt is already filled\\n result = chain.invoke(input=inputs)\\n if hasattr(result, \\\"content\\\"):\\n result = result.content\\n self.repr_value = result\\n return Document(page_content=str(result))\\n\",\"password\":false,\"name\":\"code\",\"advanced\":false,\"type\":\"code\",\"list\":false},\"_type\":\"CustomComponent\",\"inputs\":{\"required\":true,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"value\":[{\"\":\"\"}],\"password\":false,\"name\":\"inputs\",\"display_name\":\"inputs\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"dict\",\"list\":false},\"llm\":{\"required\":true,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"password\":false,\"name\":\"llm\",\"display_name\":\"LLM\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"BaseLLM\",\"list\":false},\"prompt\":{\"required\":true,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"password\":false,\"name\":\"prompt\",\"display_name\":\"Prompt Template\",\"advanced\":false,\"dynamic\":false,\"info\":\"Make sure the prompt has all variables filled.\",\"type\":\"PromptTemplate\",\"list\":false}},\"description\":\"Run a Chain with the given PromptTemplate\",\"base_classes\":[\"Document\"],\"display_name\":\"Prompt Runner\",\"custom_fields\":{\"inputs\":null,\"llm\":null,\"prompt\":null},\"output_types\":[\"PromptRunner\"],\"documentation\":\"\",\"beta\":true,\"error\":null},\"id\":\"PromptRunner-ckWMH\"},\"selected\":false,\"positionAbsolute\":{\"x\":-1149.4746387825978,\"y\":992.3970573758324},\"dragging\":false}],\"edges\":[{\"source\":\"PromptRunner-ckWMH\",\"sourceHandle\":\"{œbaseClassesœ:[œDocumentœ],œdataTypeœ:œPromptRunnerœ,œidœ:œPromptRunner-ckWMHœ}\",\"target\":\"PromptTemplate-K7xiS\",\"targetHandle\":\"{œfieldNameœ:œdasdasdœ,œidœ:œPromptTemplate-K7xiSœ,œinputTypesœ:[œDocumentœ,œBaseOutputParserœ],œtypeœ:œstrœ}\",\"data\":{\"targetHandle\":{\"fieldName\":\"dasdasd\",\"id\":\"PromptTemplate-K7xiS\",\"inputTypes\":[\"Document\",\"BaseOutputParser\"],\"type\":\"str\"},\"sourceHandle\":{\"baseClasses\":[\"Document\"],\"dataType\":\"PromptRunner\",\"id\":\"PromptRunner-ckWMH\"}},\"style\":{\"stroke\":\"#555\"},\"className\":\"stroke-gray-900 stroke-connection\",\"animated\":false,\"id\":\"reactflow__edge-PromptRunner-ckWMH{œbaseClassesœ:[œDocumentœ],œdataTypeœ:œPromptRunnerœ,œidœ:œPromptRunner-ckWMHœ}-PromptTemplate-K7xiS{œfieldNameœ:œdasdasdœ,œidœ:œPromptTemplate-K7xiSœ,œinputTypesœ:[œDocumentœ,œBaseOutputParserœ],œtypeœ:œstrœ}\"},{\"source\":\"AirbyteJSONLoader-DXfcM\",\"sourceHandle\":\"{œbaseClassesœ:[œDocumentœ],œdataTypeœ:œAirbyteJSONLoaderœ,œidœ:œAirbyteJSONLoader-DXfcMœ}\",\"target\":\"PromptTemplate-K7xiS\",\"targetHandle\":\"{œfieldNameœ:œdasdasœ,œidœ:œPromptTemplate-K7xiSœ,œinputTypesœ:[œDocumentœ,œBaseOutputParserœ],œtypeœ:œstrœ}\",\"data\":{\"targetHandle\":{\"fieldName\":\"dasdas\",\"id\":\"PromptTemplate-K7xiS\",\"inputTypes\":[\"Document\",\"BaseOutputParser\"],\"type\":\"str\"},\"sourceHandle\":{\"baseClasses\":[\"Document\"],\"dataType\":\"AirbyteJSONLoader\",\"id\":\"AirbyteJSONLoader-DXfcM\"}},\"style\":{\"stroke\":\"#555\"},\"className\":\"stroke-gray-900 stroke-connection\",\"animated\":false,\"id\":\"reactflow__edge-AirbyteJSONLoader-DXfcM{œbaseClassesœ:[œDocumentœ],œdataTypeœ:œAirbyteJSONLoaderœ,œidœ:œAirbyteJSONLoader-DXfcMœ}-PromptTemplate-K7xiS{œfieldNameœ:œdasdasœ,œidœ:œPromptTemplate-K7xiSœ,œinputTypesœ:[œDocumentœ,œBaseOutputParserœ],œtypeœ:œstrœ}\"}],\"viewport\":{\"x\":721.09842496776,\"y\":-303.59762799439625,\"zoom\":0.6417129487814537}},\"is_component\":false,\"updated_at\":\"2023-12-08T22:52:14.560323\",\"folder\":null,\"id\":\"8533c46e-21fd-4b92-b68e-1086ea86c72d\",\"user_id\":\"d253bfba-6368-44dc-85f7-0d6da9e45968\"},{\"name\":\"Twinkly Stonebraker\",\"description\":\"Navigate the Linguistic Landscape, Discover Opportunities.\",\"data\":{\"nodes\":[],\"edges\":[],\"viewport\":{\"zoom\":1,\"x\":0,\"y\":0}},\"is_component\":false,\"updated_at\":\"2023-12-09T13:26:42.332360\",\"folder\":null,\"id\":\"92bc0875-4a73-44f2-9410-3b8342e404bf\",\"user_id\":\"d253bfba-6368-44dc-85f7-0d6da9e45968\"},{\"name\":\"Metaphor Search (1)\",\"description\":\"Search in Metaphor with a custom string.\",\"data\":{\"edges\":[],\"nodes\":[{\"data\":{\"type\":\"CustomComponent\",\"node\":{\"template\":{\"code\":{\"dynamic\":true,\"required\":true,\"placeholder\":\"\",\"show\":true,\"multiline\":true,\"value\":\"from langflow import CustomComponent\\nfrom typing import List, Union\\nfrom langchain.llms.base import BaseLLM\\nfrom langchain.chains import LLMChain\\nfrom langchain import PromptTemplate\\nfrom langchain.schema import Document\\nfrom metaphor_python import Metaphor\\nimport json\\n\\nfrom typing import List\\nfrom langflow.field_typing import Data\\n\\nclass MetaphorSearch(CustomComponent):\\n display_name: str = \\\"Metaphor Search\\\"\\n description: str = \\\"Search in Metaphor with a custom string.\\\"\\n beta = True\\n \\n def build_config(self):\\n return {\\n \\\"metaphor_client\\\": {\\\"display_name\\\": \\\"Metaphor Wrapper\\\"}, \\n \\\"search_num_results\\\": {\\\"display_name\\\": \\\"Number of Results (per domain)\\\"},\\n \\\"include_domains\\\": {\\\"display_name\\\": \\\"Include Domains\\\", \\\"is_list\\\": True},\\n \\\"start_date\\\": {\\\"display_name\\\": \\\"Start Date\\\"},\\n \\\"use_autoprompt\\\": {\\\"display_name\\\": \\\"Use Autoprompt\\\", \\\"type\\\": \\\"boolean\\\"},\\n \\\"search_type\\\": {\\\"display_name\\\": \\\"Search Type\\\", \\\"options\\\": [\\\"neural\\\", \\\"keyword\\\"]},\\n \\\"start_date\\\": {\\\"input_types\\\": [\\\"Data\\\"]}\\n }\\n\\n def build(\\n self,\\n methaphor_client: Data,\\n query: str,\\n search_type: str='keyword',\\n search_num_results: int = 5,\\n include_domains: List[str]= [\\\"youtube.com\\\"],\\n use_autoprompt: bool = False,\\n start_date: str=\\\"2023-01-01\\\",\\n \\n ) -> Data:\\n \\n results = []\\n for domain in include_domains:\\n response = methaphor_client.search(\\n query,\\n num_results=int(search_num_results),\\n include_domains=[domain],\\n use_autoprompt=use_autoprompt,\\n type=search_type,\\n # start_crawl_date=start_date,\\n start_published_date=start_date\\n )\\n results.extend(response.results)\\n \\n self.repr_value = results\\n\\n return results\\n\\n\",\"password\":false,\"name\":\"code\",\"advanced\":false,\"type\":\"code\",\"list\":false},\"_type\":\"CustomComponent\",\"include_domains\":{\"required\":true,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"value\":[\"yout\"],\"password\":false,\"name\":\"include_domains\",\"display_name\":\"Include Domains\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"str\",\"list\":true},\"methaphor_client\":{\"required\":true,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"password\":false,\"name\":\"methaphor_client\",\"display_name\":\"methaphor_client\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"Data\",\"list\":false},\"query\":{\"required\":true,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"password\":false,\"name\":\"query\",\"display_name\":\"query\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"str\",\"list\":false,\"value\":\"pasteldasdasdas\"},\"search_num_results\":{\"required\":true,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"value\":5,\"password\":false,\"name\":\"search_num_results\",\"display_name\":\"Number of Results (per domain)\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"int\",\"list\":false},\"search_type\":{\"required\":true,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"value\":\"keyword\",\"password\":false,\"options\":[\"neural\",\"keyword\"],\"name\":\"search_type\",\"display_name\":\"Search Type\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"str\",\"list\":true},\"start_date\":{\"required\":true,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"value\":\"\",\"password\":false,\"name\":\"start_date\",\"display_name\":\"start_date\",\"advanced\":false,\"input_types\":[\"Data\"],\"dynamic\":false,\"info\":\"\",\"type\":\"str\",\"list\":false},\"use_autoprompt\":{\"required\":true,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"value\":false,\"password\":false,\"name\":\"use_autoprompt\",\"display_name\":\"Use Autoprompt\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"bool\",\"list\":false}},\"description\":\"Search in Metaphor with a custom string.\",\"base_classes\":[\"Data\"],\"display_name\":\"Metaphor Search\",\"custom_fields\":{\"include_domains\":null,\"methaphor_client\":null,\"query\":null,\"search_num_results\":null,\"search_type\":null,\"start_date\":null,\"use_autoprompt\":null},\"output_types\":[\"Data\"],\"documentation\":\"\",\"beta\":true,\"error\":null,\"official\":false},\"id\":\"CustomComponent-dMB5d\"},\"id\":\"CustomComponent-dMB5d\",\"position\":{\"x\":0,\"y\":0},\"type\":\"genericNode\"}],\"viewport\":{\"x\":1,\"y\":1,\"zoom\":1}},\"is_component\":true,\"updated_at\":\"2023-12-09T13:26:43.668665\",\"folder\":null,\"id\":\"912265df-9b87-4b30-a585-1ca59b944391\",\"user_id\":\"d253bfba-6368-44dc-85f7-0d6da9e45968\"},{\"name\":\"Metaphor Search (2)\",\"description\":\"Search in Metaphor with a custom string.\",\"data\":{\"edges\":[],\"nodes\":[{\"data\":{\"type\":\"CustomComponent\",\"node\":{\"template\":{\"code\":{\"dynamic\":true,\"required\":true,\"placeholder\":\"\",\"show\":true,\"multiline\":true,\"value\":\"from langflow import CustomComponent\\nfrom typing import List, Union\\nfrom langchain.llms.base import BaseLLM\\nfrom langchain.chains import LLMChain\\nfrom langchain import PromptTemplate\\nfrom langchain.schema import Document\\nfrom metaphor_python import Metaphor\\nimport json\\n\\nfrom typing import List\\nfrom langflow.field_typing import Data\\n\\nclass MetaphorSearch(CustomComponent):\\n display_name: str = \\\"Metaphor Search\\\"\\n description: str = \\\"Search in Metaphor with a custom string.\\\"\\n beta = True\\n \\n def build_config(self):\\n return {\\n \\\"metaphor_client\\\": {\\\"display_name\\\": \\\"Metaphor Wrapper\\\"}, \\n \\\"search_num_results\\\": {\\\"display_name\\\": \\\"Number of Results (per domain)\\\"},\\n \\\"include_domains\\\": {\\\"display_name\\\": \\\"Include Domains\\\", \\\"is_list\\\": True},\\n \\\"start_date\\\": {\\\"display_name\\\": \\\"Start Date\\\"},\\n \\\"use_autoprompt\\\": {\\\"display_name\\\": \\\"Use Autoprompt\\\", \\\"type\\\": \\\"boolean\\\"},\\n \\\"search_type\\\": {\\\"display_name\\\": \\\"Search Type\\\", \\\"options\\\": [\\\"neural\\\", \\\"keyword\\\"]},\\n \\\"start_date\\\": {\\\"input_types\\\": [\\\"Data\\\"]}\\n }\\n\\n def build(\\n self,\\n methaphor_client: Data,\\n query: str,\\n search_type: str='keyword',\\n search_num_results: int = 5,\\n include_domains: List[str]= [\\\"youtube.com\\\"],\\n use_autoprompt: bool = False,\\n start_date: str=\\\"2023-01-01\\\",\\n \\n ) -> Data:\\n \\n results = []\\n for domain in include_domains:\\n response = methaphor_client.search(\\n query,\\n num_results=int(search_num_results),\\n include_domains=[domain],\\n use_autoprompt=use_autoprompt,\\n type=search_type,\\n # start_crawl_date=start_date,\\n start_published_date=start_date\\n )\\n results.extend(response.results)\\n \\n self.repr_value = results\\n\\n return results\\n\\n\",\"password\":false,\"name\":\"code\",\"advanced\":false,\"type\":\"code\",\"list\":false},\"_type\":\"CustomComponent\",\"include_domains\":{\"required\":true,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"value\":[\"yout\"],\"password\":false,\"name\":\"include_domains\",\"display_name\":\"Include Domains\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"str\",\"list\":true},\"methaphor_client\":{\"required\":true,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"password\":false,\"name\":\"methaphor_client\",\"display_name\":\"methaphor_client\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"Data\",\"list\":false},\"query\":{\"required\":true,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"password\":false,\"name\":\"query\",\"display_name\":\"query\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"str\",\"list\":false,\"value\":\"pasteldasdasdas\"},\"search_num_results\":{\"required\":true,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"value\":5,\"password\":false,\"name\":\"search_num_results\",\"display_name\":\"Number of Results (per domain)\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"int\",\"list\":false},\"search_type\":{\"required\":true,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"value\":\"keyword\",\"password\":false,\"options\":[\"neural\",\"keyword\"],\"name\":\"search_type\",\"display_name\":\"Search Type\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"str\",\"list\":true},\"start_date\":{\"required\":true,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"value\":\"\",\"password\":false,\"name\":\"start_date\",\"display_name\":\"start_date\",\"advanced\":false,\"input_types\":[\"Data\"],\"dynamic\":false,\"info\":\"\",\"type\":\"str\",\"list\":false},\"use_autoprompt\":{\"required\":true,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"value\":false,\"password\":false,\"name\":\"use_autoprompt\",\"display_name\":\"Use Autoprompt\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"bool\",\"list\":false}},\"description\":\"Search in Metaphor with a custom string.\",\"base_classes\":[\"Data\"],\"display_name\":\"Metaphor Search\",\"custom_fields\":{\"include_domains\":null,\"methaphor_client\":null,\"query\":null,\"search_num_results\":null,\"search_type\":null,\"start_date\":null,\"use_autoprompt\":null},\"output_types\":[\"Data\"],\"documentation\":\"\",\"beta\":true,\"error\":null,\"official\":false},\"id\":\"CustomComponent-ipifC\"},\"id\":\"CustomComponent-ipifC\",\"position\":{\"x\":0,\"y\":0},\"type\":\"genericNode\"}],\"viewport\":{\"x\":1,\"y\":1,\"zoom\":1}},\"is_component\":true,\"updated_at\":\"2023-12-09T13:26:49.799612\",\"folder\":null,\"id\":\"ca83ee08-2f93-427d-9897-80fef6dd5447\",\"user_id\":\"d253bfba-6368-44dc-85f7-0d6da9e45968\"},{\"name\":\"Metaphor Search\",\"description\":\"Search in Metaphor with a custom string.\",\"data\":{\"edges\":[],\"nodes\":[{\"data\":{\"type\":\"CustomComponent\",\"node\":{\"template\":{\"code\":{\"dynamic\":true,\"required\":true,\"placeholder\":\"\",\"show\":true,\"multiline\":true,\"value\":\"from langflow import CustomComponent\\nfrom typing import List, Union\\nfrom langchain.llms.base import BaseLLM\\nfrom langchain.chains import LLMChain\\nfrom langchain import PromptTemplate\\nfrom langchain.schema import Document\\nfrom metaphor_python import Metaphor\\nimport json\\n\\nfrom typing import List\\nfrom langflow.field_typing import Data\\n\\nclass MetaphorSearch(CustomComponent):\\n display_name: str = \\\"Metaphor Search\\\"\\n description: str = \\\"Search in Metaphor with a custom string.\\\"\\n beta = True\\n \\n def build_config(self):\\n return {\\n \\\"metaphor_client\\\": {\\\"display_name\\\": \\\"Metaphor Wrapper\\\"}, \\n \\\"search_num_results\\\": {\\\"display_name\\\": \\\"Number of Results (per domain)\\\"},\\n \\\"include_domains\\\": {\\\"display_name\\\": \\\"Include Domains\\\", \\\"is_list\\\": True},\\n \\\"start_date\\\": {\\\"display_name\\\": \\\"Start Date\\\"},\\n \\\"use_autoprompt\\\": {\\\"display_name\\\": \\\"Use Autoprompt\\\", \\\"type\\\": \\\"boolean\\\"},\\n \\\"search_type\\\": {\\\"display_name\\\": \\\"Search Type\\\", \\\"options\\\": [\\\"neural\\\", \\\"keyword\\\"]},\\n \\\"start_date\\\": {\\\"input_types\\\": [\\\"Data\\\"]}\\n }\\n\\n def build(\\n self,\\n methaphor_client: Data,\\n query: str,\\n search_type: str='keyword',\\n search_num_results: int = 5,\\n include_domains: List[str]= [\\\"youtube.com\\\"],\\n use_autoprompt: bool = False,\\n start_date: str=\\\"2023-01-01\\\",\\n \\n ) -> Data:\\n \\n results = []\\n for domain in include_domains:\\n response = methaphor_client.search(\\n query,\\n num_results=int(search_num_results),\\n include_domains=[domain],\\n use_autoprompt=use_autoprompt,\\n type=search_type,\\n # start_crawl_date=start_date,\\n start_published_date=start_date\\n )\\n results.extend(response.results)\\n \\n self.repr_value = results\\n\\n return results\\n\\n\",\"password\":false,\"name\":\"code\",\"advanced\":false,\"type\":\"code\",\"list\":false},\"_type\":\"CustomComponent\",\"include_domains\":{\"required\":true,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"value\":[\"yout\"],\"password\":false,\"name\":\"include_domains\",\"display_name\":\"Include Domains\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"str\",\"list\":true},\"methaphor_client\":{\"required\":true,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"password\":false,\"name\":\"methaphor_client\",\"display_name\":\"methaphor_client\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"Data\",\"list\":false},\"query\":{\"required\":true,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"password\":false,\"name\":\"query\",\"display_name\":\"query\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"str\",\"list\":false,\"value\":\"pasteldasdasdas\"},\"search_num_results\":{\"required\":true,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"value\":5,\"password\":false,\"name\":\"search_num_results\",\"display_name\":\"Number of Results (per domain)\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"int\",\"list\":false},\"search_type\":{\"required\":true,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"value\":\"keyword\",\"password\":false,\"options\":[\"neural\",\"keyword\"],\"name\":\"search_type\",\"display_name\":\"Search Type\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"str\",\"list\":true},\"start_date\":{\"required\":true,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"value\":\"\",\"password\":false,\"name\":\"start_date\",\"display_name\":\"start_date\",\"advanced\":false,\"input_types\":[\"Data\"],\"dynamic\":false,\"info\":\"\",\"type\":\"str\",\"list\":false},\"use_autoprompt\":{\"required\":true,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"value\":false,\"password\":false,\"name\":\"use_autoprompt\",\"display_name\":\"Use Autoprompt\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"bool\",\"list\":false}},\"description\":\"Search in Metaphor with a custom string.\",\"base_classes\":[\"Data\"],\"display_name\":\"Metaphor Search\",\"custom_fields\":{\"include_domains\":null,\"methaphor_client\":null,\"query\":null,\"search_num_results\":null,\"search_type\":null,\"start_date\":null,\"use_autoprompt\":null},\"output_types\":[\"Data\"],\"documentation\":\"\",\"beta\":true,\"error\":null,\"official\":false},\"id\":\"CustomComponent-Y4qL7\"},\"id\":\"CustomComponent-Y4qL7\",\"position\":{\"x\":0,\"y\":0},\"type\":\"genericNode\"}],\"viewport\":{\"x\":1,\"y\":1,\"zoom\":1}},\"is_component\":true,\"updated_at\":\"2023-12-09T13:26:53.719960\",\"folder\":null,\"id\":\"5847602b-769a-4a82-82e8-a70f54a59929\",\"user_id\":\"d253bfba-6368-44dc-85f7-0d6da9e45968\"},{\"name\":\"Lively Williams\",\"description\":\"Conversational Cartography Unlocked.\",\"data\":{\"nodes\":[],\"edges\":[],\"viewport\":{\"zoom\":1,\"x\":0,\"y\":0}},\"is_component\":false,\"updated_at\":\"2023-12-09T13:27:45.691254\",\"folder\":null,\"id\":\"0e3bdba9-127a-4399-81a4-2865b70a4a47\",\"user_id\":\"d253bfba-6368-44dc-85f7-0d6da9e45968\"},{\"name\":\"Shared Component\",\"description\":\"Conversational Cartography Unlocked.\",\"data\":{\"nodes\":[{\"width\":384,\"height\":328,\"id\":\"CSVAgent-TK9Ea\",\"type\":\"genericNode\",\"position\":{\"x\":251.25514772667083,\"y\":160.7424529887874},\"data\":{\"type\":\"CSVAgent\",\"node\":{\"template\":{\"llm\":{\"required\":true,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"password\":false,\"name\":\"llm\",\"display_name\":\"LLM\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"BaseLanguageModel\",\"list\":false},\"path\":{\"required\":true,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"value\":\"\",\"password\":false,\"name\":\"path\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"file\",\"list\":false,\"fileTypes\":[\".csv\"],\"file_path\":null},\"_type\":\"csv_agent\"},\"description\":\"Construct a CSV agent from a CSV and tools.\",\"base_classes\":[\"AgentExecutor\"],\"display_name\":\"CSVAgent\",\"custom_fields\":{},\"output_types\":[],\"documentation\":\"https://python.langchain.com/docs/modules/agents/toolkits/csv\",\"beta\":false,\"error\":null},\"id\":\"CSVAgent-TK9Ea\"},\"positionAbsolute\":{\"x\":251.25514772667083,\"y\":160.7424529887874}}],\"edges\":[],\"viewport\":{\"x\":104.85568116317398,\"y\":88.26375874183478,\"zoom\":0.7169776240079145}},\"is_component\":false,\"updated_at\":\"2023-12-09T13:28:34.119070\",\"folder\":null,\"id\":\"29c1a247-47b0-457b-8666-7c0a67dc72b0\",\"user_id\":\"d253bfba-6368-44dc-85f7-0d6da9e45968\"},{\"name\":\"teste cristhian\",\"description\":\"11111\",\"data\":{\"nodes\":[{\"width\":384,\"height\":328,\"id\":\"CSVAgent-P5wrB\",\"type\":\"genericNode\",\"position\":{\"x\":251.25514772667083,\"y\":160.7424529887874},\"data\":{\"type\":\"CSVAgent\",\"node\":{\"template\":{\"llm\":{\"required\":true,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"password\":false,\"name\":\"llm\",\"display_name\":\"LLM\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"BaseLanguageModel\",\"list\":false},\"path\":{\"required\":true,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"value\":\"\",\"password\":false,\"name\":\"path\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"file\",\"list\":false,\"fileTypes\":[\".csv\"],\"file_path\":null},\"_type\":\"csv_agent\"},\"description\":\"Construct a CSV agent from a CSV and tools.\",\"base_classes\":[\"AgentExecutor\"],\"display_name\":\"CSVAgent\",\"custom_fields\":{},\"output_types\":[],\"documentation\":\"https://python.langchain.com/docs/modules/agents/toolkits/csv\",\"beta\":false,\"error\":null},\"id\":\"CSVAgent-P5wrB\"},\"positionAbsolute\":{\"x\":251.25514772667083,\"y\":160.7424529887874}},{\"width\":384,\"height\":626,\"id\":\"OpenAI-zpihD\",\"type\":\"genericNode\",\"position\":{\"x\":-56.983202536768374,\"y\":61.715652677908665},\"data\":{\"type\":\"OpenAI\",\"node\":{\"template\":{\"callbacks\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"password\":false,\"name\":\"callbacks\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"langchain_core.callbacks.base.BaseCallbackHandler\",\"list\":true},\"allowed_special\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"value\":[],\"password\":false,\"name\":\"allowed_special\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"str\",\"list\":true},\"async_client\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"password\":false,\"name\":\"async_client\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"Any\",\"list\":false},\"batch_size\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"value\":20,\"password\":false,\"name\":\"batch_size\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"int\",\"list\":false},\"best_of\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"value\":1,\"password\":false,\"name\":\"best_of\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"int\",\"list\":false},\"cache\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"password\":false,\"name\":\"cache\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"bool\",\"list\":false},\"client\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"password\":false,\"name\":\"client\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"Any\",\"list\":false},\"default_headers\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"password\":false,\"name\":\"default_headers\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"dict\",\"list\":false},\"default_query\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"password\":false,\"name\":\"default_query\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"dict\",\"list\":false},\"disallowed_special\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"value\":\"all\",\"password\":false,\"name\":\"disallowed_special\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"str\",\"list\":false},\"frequency_penalty\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"value\":0,\"password\":false,\"name\":\"frequency_penalty\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"float\",\"list\":false},\"http_client\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"password\":false,\"name\":\"http_client\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"Any\",\"list\":false},\"logit_bias\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"password\":false,\"name\":\"logit_bias\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"dict\",\"list\":false},\"max_retries\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"value\":2,\"password\":false,\"name\":\"max_retries\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"int\",\"list\":false},\"max_tokens\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"value\":\"\",\"password\":true,\"name\":\"max_tokens\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"int\",\"list\":false},\"metadata\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"password\":false,\"name\":\"metadata\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"dict\",\"list\":false},\"model_kwargs\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"password\":false,\"name\":\"model_kwargs\",\"advanced\":true,\"dynamic\":false,\"info\":\"\",\"type\":\"dict\",\"list\":false},\"model_name\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"value\":\"text-babbage-001\",\"password\":false,\"options\":[\"text-davinci-003\",\"text-davinci-002\",\"text-curie-001\",\"text-babbage-001\",\"text-ada-001\"],\"name\":\"model_name\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"str\",\"list\":true},\"n\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"value\":1,\"password\":false,\"name\":\"n\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"int\",\"list\":false},\"openai_api_base\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"password\":false,\"name\":\"openai_api_base\",\"display_name\":\"OpenAI API Base\",\"advanced\":false,\"dynamic\":false,\"info\":\"\\nThe base URL of the OpenAI API. Defaults to https://api.openai.com/v1.\\n\\nYou can change this to use other APIs like JinaChat, LocalAI and Prem.\\n\",\"type\":\"str\",\"list\":false,\"value\":\"dasdasdasdsadasdas\"},\"openai_api_key\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"value\":\"\",\"password\":true,\"name\":\"openai_api_key\",\"display_name\":\"OpenAI API Key\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"str\",\"list\":false},\"openai_organization\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"password\":false,\"name\":\"openai_organization\",\"display_name\":\"OpenAI Organization\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"str\",\"list\":false},\"openai_proxy\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"password\":false,\"name\":\"openai_proxy\",\"display_name\":\"OpenAI Proxy\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"str\",\"list\":false},\"presence_penalty\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"value\":0,\"password\":false,\"name\":\"presence_penalty\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"float\",\"list\":false},\"request_timeout\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"password\":false,\"name\":\"request_timeout\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"float\",\"list\":false},\"streaming\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"value\":false,\"password\":false,\"name\":\"streaming\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"bool\",\"list\":false},\"tags\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"password\":false,\"name\":\"tags\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"str\",\"list\":true},\"temperature\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"value\":\"1.4\",\"password\":false,\"name\":\"temperature\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"float\",\"list\":false},\"tiktoken_model_name\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"password\":false,\"name\":\"tiktoken_model_name\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"str\",\"list\":false},\"top_p\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"value\":1,\"password\":false,\"name\":\"top_p\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"float\",\"list\":false},\"verbose\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"password\":false,\"name\":\"verbose\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"bool\",\"list\":false},\"_type\":\"OpenAI\"},\"description\":\"OpenAI large language models.\",\"base_classes\":[\"OpenAI\",\"BaseLanguageModel\",\"BaseLLM\",\"BaseOpenAI\"],\"display_name\":\"OpenAI\",\"custom_fields\":{},\"output_types\":[],\"documentation\":\"https://python.langchain.com/docs/modules/model_io/models/llms/integrations/openai\",\"beta\":false,\"error\":null},\"id\":\"OpenAI-zpihD\"},\"selected\":true,\"dragging\":false,\"positionAbsolute\":{\"x\":-56.983202536768374,\"y\":61.715652677908665}}],\"edges\":[],\"viewport\":{\"x\":104.85568116317398,\"y\":88.26375874183478,\"zoom\":0.7169776240079145}},\"is_component\":false,\"updated_at\":\"2023-12-09T13:40:48.453096\",\"folder\":null,\"id\":\"2e59d013-2acb-49a6-915b-9231a7e6eb58\",\"user_id\":\"d253bfba-6368-44dc-85f7-0d6da9e45968\"},{\"name\":\"CSVAgent (1)\",\"description\":\"Construct a CSV agent from a CSV and tools.\",\"data\":{\"edges\":[],\"nodes\":[{\"data\":{\"type\":\"CSVAgent\",\"node\":{\"template\":{\"llm\":{\"required\":true,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"password\":false,\"name\":\"llm\",\"display_name\":\"LLM\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"BaseLanguageModel\",\"list\":false},\"path\":{\"required\":true,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"value\":\"\",\"password\":false,\"name\":\"path\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"file\",\"list\":false,\"fileTypes\":[\".csv\"],\"file_path\":null},\"_type\":\"csv_agent\"},\"description\":\"Construct a CSV agent from a CSV and tools.\",\"base_classes\":[\"AgentExecutor\"],\"display_name\":\"CSVAgent\",\"custom_fields\":{},\"output_types\":[],\"documentation\":\"https://python.langchain.com/docs/modules/agents/toolkits/csv\",\"beta\":false,\"error\":null,\"official\":false},\"id\":\"CSVAgent-jsHqy\"},\"id\":\"CSVAgent-jsHqy\",\"position\":{\"x\":0,\"y\":0},\"type\":\"genericNode\"}],\"viewport\":{\"x\":1,\"y\":1,\"zoom\":1}},\"is_component\":true,\"updated_at\":\"2023-12-09T13:31:17.317322\",\"folder\":null,\"id\":\"ab1034a9-9b5b-4c65-bf6e-9f098a403942\",\"user_id\":\"d253bfba-6368-44dc-85f7-0d6da9e45968\"},{\"name\":\"Suspicious Wilsonfasdfsd\",\"description\":\"Building Linguistic Labyrinths.fasdfads\",\"data\":{\"nodes\":[],\"edges\":[],\"viewport\":{\"zoom\":1,\"x\":0,\"y\":0}},\"is_component\":false,\"updated_at\":\"2023-12-09T14:43:45.298121\",\"folder\":null,\"id\":\"7d91c0c5-fba6-4c60-b4d1-11d430ef357a\",\"user_id\":\"d253bfba-6368-44dc-85f7-0d6da9e45968\"},{\"name\":\"AirbyteJSONLoader (1)\",\"description\":\"Load local `Airbyte` json files.\",\"data\":{\"edges\":[],\"nodes\":[{\"data\":{\"type\":\"AirbyteJSONLoader\",\"node\":{\"template\":{\"file_path\":{\"required\":true,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"value\":\"\",\"password\":false,\"name\":\"file_path\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"file\",\"list\":false,\"fileTypes\":[\".json\"],\"file_path\":null},\"metadata\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"value\":[{\"\":\"\"}],\"password\":false,\"name\":\"metadata\",\"display_name\":\"Metadata\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"dict\",\"list\":false},\"_type\":\"AirbyteJSONLoader\"},\"description\":\"Load local `Airbyte` json files.\",\"base_classes\":[\"Document\"],\"display_name\":\"AirbyteJSONLoader\",\"custom_fields\":{},\"output_types\":[\"Document\"],\"documentation\":\"https://python.langchain.com/docs/modules/data_connection/document_loaders/integrations/airbyte_json\",\"beta\":false,\"error\":null,\"official\":false},\"id\":\"AirbyteJSONLoader-pAHh6\"},\"id\":\"AirbyteJSONLoader-pAHh6\",\"position\":{\"x\":0,\"y\":0},\"type\":\"genericNode\"}],\"viewport\":{\"x\":1,\"y\":1,\"zoom\":1}},\"is_component\":true,\"updated_at\":\"2023-12-09T13:47:58.573137\",\"folder\":null,\"id\":\"f0cc4292-97cc-4748-803d-949e30dcf661\",\"user_id\":\"d253bfba-6368-44dc-85f7-0d6da9e45968\"},{\"name\":\"AirbyteJSONLoader\",\"description\":\"Load local `Airbyte` json files.\",\"data\":{\"edges\":[],\"nodes\":[{\"data\":{\"type\":\"AirbyteJSONLoader\",\"node\":{\"template\":{\"file_path\":{\"required\":true,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"value\":\"\",\"password\":false,\"name\":\"file_path\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"file\",\"list\":false,\"fileTypes\":[\".json\"],\"file_path\":null},\"metadata\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"value\":[{\"ff2\":\"d3bbd\"},{\"w\":\"bvd\"}],\"password\":false,\"name\":\"metadata\",\"display_name\":\"Metadata\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"dict\",\"list\":false},\"_type\":\"AirbyteJSONLoader\"},\"description\":\"Load local `Airbyte` json files.\",\"base_classes\":[\"Document\"],\"display_name\":\"AirbyteJSONLoader\",\"custom_fields\":{},\"output_types\":[\"Document\"],\"documentation\":\"https://python.langchain.com/docs/modules/data_connection/document_loaders/integrations/airbyte_json\",\"beta\":false,\"error\":null,\"official\":false},\"id\":\"AirbyteJSONLoader-0zU2Q\"},\"id\":\"AirbyteJSONLoader-0zU2Q\",\"position\":{\"x\":0,\"y\":0},\"type\":\"genericNode\"}],\"viewport\":{\"x\":1,\"y\":1,\"zoom\":1}},\"is_component\":true,\"updated_at\":\"2023-12-09T13:50:09.035318\",\"folder\":null,\"id\":\"5e3c0d55-1a00-4e15-9821-0c625c6415ff\",\"user_id\":\"d253bfba-6368-44dc-85f7-0d6da9e45968\"},{\"name\":\"CSVAgent\",\"description\":\"Construct a CSV agent from a CSV and tools.\",\"data\":{\"edges\":[],\"nodes\":[{\"data\":{\"type\":\"CSVAgent\",\"node\":{\"template\":{\"llm\":{\"required\":true,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"password\":false,\"name\":\"llm\",\"display_name\":\"LLM\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"BaseLanguageModel\",\"list\":false},\"path\":{\"required\":true,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"value\":\"\",\"password\":false,\"name\":\"path\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"file\",\"list\":false,\"fileTypes\":[\".csv\"],\"file_path\":null},\"_type\":\"csv_agent\"},\"description\":\"Construct a CSV agent from a CSV and tools.\",\"base_classes\":[\"AgentExecutor\"],\"display_name\":\"CSVAgent\",\"custom_fields\":{},\"output_types\":[],\"documentation\":\"https://python.langchain.com/docs/modules/agents/toolkits/csv\",\"beta\":false,\"error\":null,\"official\":false},\"id\":\"CSVAgent-Ub1Xe\"},\"id\":\"CSVAgent-Ub1Xe\",\"position\":{\"x\":0,\"y\":0},\"type\":\"genericNode\"}],\"viewport\":{\"x\":1,\"y\":1,\"zoom\":1}},\"is_component\":true,\"updated_at\":\"2023-12-09T13:50:16.985419\",\"folder\":null,\"id\":\"baee8061-4788-4ce6-928f-c6ce1ecb443c\",\"user_id\":\"d253bfba-6368-44dc-85f7-0d6da9e45968\"},{\"name\":\"Lively Heisenberg\",\"description\":\"Maximize Impact with Intelligent Conversations.\",\"data\":{\"nodes\":[{\"width\":384,\"height\":366,\"id\":\"CSVLoader-RMUx9\",\"type\":\"genericNode\",\"position\":{\"x\":111,\"y\":345.51250076293945},\"data\":{\"type\":\"CSVLoader\",\"node\":{\"template\":{\"file_path\":{\"required\":true,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"value\":\"\",\"password\":false,\"name\":\"file_path\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"file\",\"list\":false,\"fileTypes\":[\".csv\"],\"file_path\":null},\"metadata\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"value\":[{\"z2b\":\"z9\"}],\"password\":false,\"name\":\"metadata\",\"display_name\":\"Metadata\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"dict\",\"list\":false},\"_type\":\"CSVLoader\"},\"description\":\"Load a `CSV` file into a list of Documents.\",\"base_classes\":[\"Document\"],\"display_name\":\"CSVLoader\",\"custom_fields\":{},\"output_types\":[\"Document\"],\"documentation\":\"https://python.langchain.com/docs/modules/data_connection/document_loaders/integrations/csv\",\"beta\":false,\"error\":null},\"id\":\"CSVLoader-RMUx9\"},\"positionAbsolute\":{\"x\":111,\"y\":345.51250076293945}}],\"edges\":[],\"viewport\":{\"x\":0,\"y\":0,\"zoom\":1}},\"is_component\":false,\"updated_at\":\"2023-12-09T14:38:40.291137\",\"folder\":null,\"id\":\"109e9629-d569-4555-9d40-42203a5ed035\",\"user_id\":\"d253bfba-6368-44dc-85f7-0d6da9e45968\"},{\"name\":\"CohereEmbeddings\",\"description\":\"Cohere embedding models.\",\"data\":{\"edges\":[],\"nodes\":[{\"data\":{\"type\":\"CohereEmbeddings\",\"node\":{\"template\":{\"async_client\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"password\":false,\"name\":\"async_client\",\"advanced\":true,\"dynamic\":false,\"info\":\"\",\"type\":\"Any\",\"list\":false},\"client\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"password\":false,\"name\":\"client\",\"advanced\":true,\"dynamic\":false,\"info\":\"\",\"type\":\"Any\",\"list\":false},\"cohere_api_key\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"password\":true,\"name\":\"cohere_api_key\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"str\",\"list\":false,\"value\":\"\"},\"max_retries\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"password\":false,\"name\":\"max_retries\",\"advanced\":true,\"dynamic\":false,\"info\":\"\",\"type\":\"int\",\"list\":false},\"model\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"value\":\"embed-english-v2.0\",\"password\":false,\"name\":\"model\",\"advanced\":true,\"dynamic\":false,\"info\":\"\",\"type\":\"str\",\"list\":false},\"request_timeout\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"password\":false,\"name\":\"request_timeout\",\"advanced\":true,\"dynamic\":false,\"info\":\"\",\"type\":\"float\",\"list\":false},\"truncate\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"password\":false,\"name\":\"truncate\",\"advanced\":true,\"dynamic\":false,\"info\":\"\",\"type\":\"str\",\"list\":false},\"user_agent\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"value\":\"langchain\",\"password\":false,\"name\":\"user_agent\",\"advanced\":true,\"dynamic\":false,\"info\":\"\",\"type\":\"str\",\"list\":false},\"_type\":\"CohereEmbeddings\"},\"description\":\"Cohere embedding models.\",\"base_classes\":[\"CohereEmbeddings\",\"Embeddings\"],\"display_name\":\"CohereEmbeddings\",\"custom_fields\":{},\"output_types\":[],\"documentation\":\"https://python.langchain.com/docs/modules/data_connection/text_embedding/integrations/cohere\",\"beta\":false,\"error\":null,\"official\":false},\"id\":\"CohereEmbeddings-HFUAf\"},\"id\":\"CohereEmbeddings-HFUAf\",\"position\":{\"x\":0,\"y\":0},\"type\":\"genericNode\"}],\"viewport\":{\"x\":1,\"y\":1,\"zoom\":1}},\"is_component\":true,\"updated_at\":\"2023-12-09T13:50:46.172344\",\"folder\":null,\"id\":\"662d8040-d47c-40db-bda1-66489a1c9d24\",\"user_id\":\"d253bfba-6368-44dc-85f7-0d6da9e45968\"},{\"name\":\"CSVLoader (1)\",\"description\":\"Load a `CSV` file into a list of Documents.\",\"data\":{\"edges\":[],\"nodes\":[{\"data\":{\"type\":\"CSVLoader\",\"node\":{\"template\":{\"file_path\":{\"required\":true,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"value\":\"\",\"password\":false,\"name\":\"file_path\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"file\",\"list\":false,\"fileTypes\":[\".csv\"],\"file_path\":null},\"metadata\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"value\":[{\"cddscz23\":\"aaqd\"}],\"password\":false,\"name\":\"metadata\",\"display_name\":\"Metadata\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"dict\",\"list\":false},\"_type\":\"CSVLoader\"},\"description\":\"Load a `CSV` file into a list of Documents.\",\"base_classes\":[\"Document\"],\"display_name\":\"CSVLoader\",\"custom_fields\":{},\"output_types\":[\"Document\"],\"documentation\":\"https://python.langchain.com/docs/modules/data_connection/document_loaders/integrations/csv\",\"beta\":false,\"error\":null,\"official\":false},\"id\":\"CSVLoader-3wrib\"},\"id\":\"CSVLoader-3wrib\",\"position\":{\"x\":0,\"y\":0},\"type\":\"genericNode\"}],\"viewport\":{\"x\":1,\"y\":1,\"zoom\":1}},\"is_component\":true,\"updated_at\":\"2023-12-09T13:56:11.662526\",\"folder\":null,\"id\":\"4fae6aec-ddbd-498d-a4d1-ca0290f6a5ad\",\"user_id\":\"d253bfba-6368-44dc-85f7-0d6da9e45968\"},{\"name\":\"CSVLoader (2)\",\"description\":\"Load a `CSV` file into a list of Documents.\",\"data\":{\"edges\":[],\"nodes\":[{\"data\":{\"type\":\"CSVLoader\",\"node\":{\"template\":{\"file_path\":{\"required\":true,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"value\":\"\",\"password\":false,\"name\":\"file_path\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"file\",\"list\":false,\"fileTypes\":[\".csv\"],\"file_path\":null},\"metadata\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"value\":[{\"cddscz23\":\"aaqd\"}],\"password\":false,\"name\":\"metadata\",\"display_name\":\"Metadata\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"dict\",\"list\":false},\"_type\":\"CSVLoader\"},\"description\":\"Load a `CSV` file into a list of Documents.\",\"base_classes\":[\"Document\"],\"display_name\":\"CSVLoader\",\"custom_fields\":{},\"output_types\":[\"Document\"],\"documentation\":\"https://python.langchain.com/docs/modules/data_connection/document_loaders/integrations/csv\",\"beta\":false,\"error\":null,\"official\":false},\"id\":\"CSVLoader-VEjyx\"},\"id\":\"CSVLoader-VEjyx\",\"position\":{\"x\":0,\"y\":0},\"type\":\"genericNode\"}],\"viewport\":{\"x\":1,\"y\":1,\"zoom\":1}},\"is_component\":true,\"updated_at\":\"2023-12-09T13:57:37.560784\",\"folder\":null,\"id\":\"d80635ee-966c-41f2-981c-afa2c388ac6e\",\"user_id\":\"d253bfba-6368-44dc-85f7-0d6da9e45968\"},{\"name\":\"CSVLoader (3)\",\"description\":\"Load a `CSV` file into a list of Documents.\",\"data\":{\"edges\":[],\"nodes\":[{\"data\":{\"type\":\"CSVLoader\",\"node\":{\"template\":{\"file_path\":{\"required\":true,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"value\":\"\",\"password\":false,\"name\":\"file_path\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"file\",\"list\":false,\"fileTypes\":[\".csv\"],\"file_path\":null},\"metadata\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"value\":[{\"cddscz23\":\"aaqd\"}],\"password\":false,\"name\":\"metadata\",\"display_name\":\"Metadata\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"dict\",\"list\":false},\"_type\":\"CSVLoader\"},\"description\":\"Load a `CSV` file into a list of Documents.\",\"base_classes\":[\"Document\"],\"display_name\":\"CSVLoader\",\"custom_fields\":{},\"output_types\":[\"Document\"],\"documentation\":\"https://python.langchain.com/docs/modules/data_connection/document_loaders/integrations/csv\",\"beta\":false,\"error\":null,\"official\":false},\"id\":\"CSVLoader-PIhOc\"},\"id\":\"CSVLoader-PIhOc\",\"position\":{\"x\":0,\"y\":0},\"type\":\"genericNode\"}],\"viewport\":{\"x\":1,\"y\":1,\"zoom\":1}},\"is_component\":true,\"updated_at\":\"2023-12-09T14:00:27.991966\",\"folder\":null,\"id\":\"c5cc4c32-77c8-4889-a9f8-2632466b7366\",\"user_id\":\"d253bfba-6368-44dc-85f7-0d6da9e45968\"},{\"name\":\"CSVLoader (4)\",\"description\":\"Load a `CSV` file into a list of Documents.\",\"data\":{\"edges\":[],\"nodes\":[{\"data\":{\"type\":\"CSVLoader\",\"node\":{\"template\":{\"file_path\":{\"required\":true,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"value\":\"\",\"password\":false,\"name\":\"file_path\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"file\",\"list\":false,\"fileTypes\":[\".csv\"],\"file_path\":null},\"metadata\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"value\":[{\"cddscz23\":\"aaqd\"}],\"password\":false,\"name\":\"metadata\",\"display_name\":\"Metadata\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"dict\",\"list\":false},\"_type\":\"CSVLoader\"},\"description\":\"Load a `CSV` file into a list of Documents.\",\"base_classes\":[\"Document\"],\"display_name\":\"CSVLoader\",\"custom_fields\":{},\"output_types\":[\"Document\"],\"documentation\":\"https://python.langchain.com/docs/modules/data_connection/document_loaders/integrations/csv\",\"beta\":false,\"error\":null,\"official\":false},\"id\":\"CSVLoader-deB43\"},\"id\":\"CSVLoader-deB43\",\"position\":{\"x\":0,\"y\":0},\"type\":\"genericNode\"}],\"viewport\":{\"x\":1,\"y\":1,\"zoom\":1}},\"is_component\":true,\"updated_at\":\"2023-12-09T14:00:42.509243\",\"folder\":null,\"id\":\"0ab59938-ccf4-4bb9-b285-1f5da38648f0\",\"user_id\":\"d253bfba-6368-44dc-85f7-0d6da9e45968\"},{\"name\":\"CSVLoader\",\"description\":\"Load a `CSV` file into a list of Documents.\",\"data\":{\"edges\":[],\"nodes\":[{\"data\":{\"type\":\"CSVLoader\",\"node\":{\"template\":{\"file_path\":{\"required\":true,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"value\":\"\",\"password\":false,\"name\":\"file_path\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"file\",\"list\":false,\"fileTypes\":[\".csv\"],\"file_path\":null},\"metadata\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"value\":[{\"\":\"aaqd\"}],\"password\":false,\"name\":\"metadata\",\"display_name\":\"Metadata\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"dict\",\"list\":false},\"_type\":\"CSVLoader\"},\"description\":\"Load a `CSV` file into a list of Documents.\",\"base_classes\":[\"Document\"],\"display_name\":\"CSVLoader\",\"custom_fields\":{},\"output_types\":[\"Document\"],\"documentation\":\"https://python.langchain.com/docs/modules/data_connection/document_loaders/integrations/csv\",\"beta\":false,\"error\":null,\"official\":false},\"id\":\"CSVLoader-mdkLm\"},\"id\":\"CSVLoader-mdkLm\",\"position\":{\"x\":0,\"y\":0},\"type\":\"genericNode\"}],\"viewport\":{\"x\":1,\"y\":1,\"zoom\":1}},\"is_component\":true,\"updated_at\":\"2023-12-09T14:02:17.458354\",\"folder\":null,\"id\":\"f127b7e7-4149-492e-8998-6b1b35ec4153\",\"user_id\":\"d253bfba-6368-44dc-85f7-0d6da9e45968\"},{\"name\":\"CSVLoader (5)\",\"description\":\"Load a `CSV` file into a list of Documents.\",\"data\":{\"edges\":[],\"nodes\":[{\"data\":{\"type\":\"CSVLoader\",\"node\":{\"template\":{\"file_path\":{\"required\":true,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"value\":\"\",\"password\":false,\"name\":\"file_path\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"file\",\"list\":false,\"fileTypes\":[\".csv\"],\"file_path\":null},\"metadata\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"value\":[{\"cddscz23\":\"aaqd\"}],\"password\":false,\"name\":\"metadata\",\"display_name\":\"Metadata\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"dict\",\"list\":false},\"_type\":\"CSVLoader\"},\"description\":\"Load a `CSV` file into a list of Documents.\",\"base_classes\":[\"Document\"],\"display_name\":\"CSVLoader\",\"custom_fields\":{},\"output_types\":[\"Document\"],\"documentation\":\"https://python.langchain.com/docs/modules/data_connection/document_loaders/integrations/csv\",\"beta\":false,\"error\":null,\"official\":false},\"id\":\"CSVLoader-FRc6Y\"},\"id\":\"CSVLoader-FRc6Y\",\"position\":{\"x\":0,\"y\":0},\"type\":\"genericNode\"}],\"viewport\":{\"x\":1,\"y\":1,\"zoom\":1}},\"is_component\":true,\"updated_at\":\"2023-12-09T14:02:26.958867\",\"folder\":null,\"id\":\"a870a096-725c-4914-add0-8d57d710b7e5\",\"user_id\":\"d253bfba-6368-44dc-85f7-0d6da9e45968\"},{\"name\":\"AirbyteJSONLoader (2)\",\"description\":\"Load local `Airbyte` json files.\",\"data\":{\"edges\":[],\"nodes\":[{\"data\":{\"type\":\"AirbyteJSONLoader\",\"node\":{\"template\":{\"file_path\":{\"required\":true,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"value\":\"\",\"password\":false,\"name\":\"file_path\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"file\",\"list\":false,\"fileTypes\":[\".json\"],\"file_path\":null},\"metadata\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"value\":[{\"\":\"\"}],\"password\":false,\"name\":\"metadata\",\"display_name\":\"Metadata\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"dict\",\"list\":false},\"_type\":\"AirbyteJSONLoader\"},\"description\":\"Load local `Airbyte` json files.\",\"base_classes\":[\"Document\"],\"display_name\":\"AirbyteJSONLoader\",\"custom_fields\":{},\"output_types\":[\"Document\"],\"documentation\":\"https://python.langchain.com/docs/modules/data_connection/document_loaders/integrations/airbyte_json\",\"beta\":false,\"error\":null,\"official\":false},\"id\":\"AirbyteJSONLoader-Z0uol\"},\"id\":\"AirbyteJSONLoader-Z0uol\",\"position\":{\"x\":0,\"y\":0},\"type\":\"genericNode\"}],\"viewport\":{\"x\":1,\"y\":1,\"zoom\":1}},\"is_component\":true,\"updated_at\":\"2023-12-09T14:03:33.764117\",\"folder\":null,\"id\":\"2a37c76c-65c8-4c01-a72d-eb46f3d41a56\",\"user_id\":\"d253bfba-6368-44dc-85f7-0d6da9e45968\"},{\"name\":\"Amazon Bedrock Embeddings\",\"description\":\"Embeddings model from Amazon Bedrock.\",\"data\":{\"edges\":[],\"nodes\":[{\"data\":{\"type\":\"AmazonBedrockEmbeddings\",\"node\":{\"template\":{\"code\":{\"dynamic\":true,\"required\":true,\"placeholder\":\"\",\"show\":false,\"multiline\":true,\"value\":\"from typing import Optional\\n\\nfrom langchain.embeddings import BedrockEmbeddings\\nfrom langchain.embeddings.base import Embeddings\\nfrom langflow import CustomComponent\\n\\n\\nclass AmazonBedrockEmeddingsComponent(CustomComponent):\\n \\\"\\\"\\\"\\n A custom component for implementing an Embeddings Model using Amazon Bedrock.\\n \\\"\\\"\\\"\\n\\n display_name: str = \\\"Amazon Bedrock Embeddings\\\"\\n description: str = \\\"Embeddings model from Amazon Bedrock.\\\"\\n documentation = \\\"https://python.langchain.com/docs/modules/data_connection/text_embedding/integrations/bedrock\\\"\\n beta = True\\n\\n def build_config(self):\\n return {\\n \\\"model_id\\\": {\\n \\\"display_name\\\": \\\"Model Id\\\",\\n \\\"options\\\": [\\\"amazon.titan-embed-text-v1\\\"],\\n },\\n \\\"credentials_profile_name\\\": {\\\"display_name\\\": \\\"Credentials Profile Name\\\"},\\n \\\"endpoint_url\\\": {\\\"display_name\\\": \\\"Bedrock Endpoint URL\\\"},\\n \\\"region_name\\\": {\\\"display_name\\\": \\\"AWS Region\\\"},\\n \\\"code\\\": {\\\"show\\\": False},\\n }\\n\\n def build(\\n self,\\n model_id: str = \\\"amazon.titan-embed-text-v1\\\",\\n credentials_profile_name: Optional[str] = None,\\n endpoint_url: Optional[str] = None,\\n region_name: Optional[str] = None,\\n ) -> Embeddings:\\n try:\\n output = BedrockEmbeddings(\\n credentials_profile_name=credentials_profile_name,\\n model_id=model_id,\\n endpoint_url=endpoint_url,\\n region_name=region_name,\\n ) # type: ignore\\n except Exception as e:\\n raise ValueError(\\\"Could not connect to AmazonBedrock API.\\\") from e\\n return output\\n\",\"password\":false,\"name\":\"code\",\"advanced\":false,\"type\":\"code\",\"list\":false},\"_type\":\"CustomComponent\",\"credentials_profile_name\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"password\":false,\"name\":\"credentials_profile_name\",\"display_name\":\"Credentials Profile Name\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"str\",\"list\":false},\"endpoint_url\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"password\":false,\"name\":\"endpoint_url\",\"display_name\":\"Bedrock Endpoint URL\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"str\",\"list\":false},\"model_id\":{\"required\":true,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"value\":\"amazon.titan-embed-text-v1\",\"password\":false,\"options\":[\"amazon.titan-embed-text-v1\"],\"name\":\"model_id\",\"display_name\":\"Model Id\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"str\",\"list\":true},\"region_name\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"password\":false,\"name\":\"region_name\",\"display_name\":\"AWS Region\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"str\",\"list\":false}},\"description\":\"Embeddings model from Amazon Bedrock.\",\"base_classes\":[\"Embeddings\"],\"display_name\":\"Amazon Bedrock Embeddings\",\"custom_fields\":{\"credentials_profile_name\":null,\"endpoint_url\":null,\"model_id\":null,\"region_name\":null},\"output_types\":[\"AmazonBedrockEmbeddings\"],\"documentation\":\"https://python.langchain.com/docs/modules/data_connection/text_embedding/integrations/bedrock\",\"beta\":true,\"error\":null,\"official\":false},\"id\":\"AmazonBedrockEmbeddings-28ASv\"},\"id\":\"AmazonBedrockEmbeddings-28ASv\",\"position\":{\"x\":0,\"y\":0},\"type\":\"genericNode\"}],\"viewport\":{\"x\":1,\"y\":1,\"zoom\":1}},\"is_component\":true,\"updated_at\":\"2023-12-09T14:03:41.066618\",\"folder\":null,\"id\":\"850ba4e6-96ca-49a7-9b0c-4b7048fd52c8\",\"user_id\":\"d253bfba-6368-44dc-85f7-0d6da9e45968\"},{\"name\":\"ConversationBufferMemory\",\"description\":\"Buffer for storing conversation memory.\",\"data\":{\"edges\":[],\"nodes\":[{\"data\":{\"type\":\"ConversationBufferMemory\",\"node\":{\"template\":{\"chat_memory\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"password\":false,\"name\":\"chat_memory\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"BaseChatMessageHistory\",\"list\":false},\"ai_prefix\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"value\":\"AI\",\"password\":false,\"name\":\"ai_prefix\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"str\",\"list\":false},\"human_prefix\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"value\":\"Human\",\"password\":false,\"name\":\"human_prefix\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"str\",\"list\":false},\"input_key\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"value\":\"\",\"password\":false,\"name\":\"input_key\",\"advanced\":false,\"dynamic\":false,\"info\":\"The variable to be used as Chat Input when more than one variable is available.\",\"type\":\"str\",\"list\":false},\"memory_key\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"value\":\"chat_history\",\"password\":false,\"name\":\"memory_key\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"str\",\"list\":false},\"output_key\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"value\":\"\",\"password\":false,\"name\":\"output_key\",\"advanced\":false,\"dynamic\":false,\"info\":\"The variable to be used as Chat Output (e.g. answer in a ConversationalRetrievalChain)\",\"type\":\"str\",\"list\":false},\"return_messages\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"password\":false,\"name\":\"return_messages\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"bool\",\"list\":false},\"_type\":\"ConversationBufferMemory\"},\"description\":\"Buffer for storing conversation memory.\",\"base_classes\":[\"BaseMemory\",\"BaseChatMemory\",\"ConversationBufferMemory\"],\"display_name\":\"ConversationBufferMemory\",\"custom_fields\":{},\"output_types\":[],\"documentation\":\"https://python.langchain.com/docs/modules/memory/how_to/buffer\",\"beta\":false,\"error\":null,\"official\":false},\"id\":\"ConversationBufferMemory-WaoLx\"},\"id\":\"ConversationBufferMemory-WaoLx\",\"position\":{\"x\":0,\"y\":0},\"type\":\"genericNode\"}],\"viewport\":{\"x\":1,\"y\":1,\"zoom\":1}},\"is_component\":true,\"updated_at\":\"2023-12-09T14:04:46.058568\",\"folder\":null,\"id\":\"be650940-0449-4eb0-a708-056310f924fd\",\"user_id\":\"d253bfba-6368-44dc-85f7-0d6da9e45968\"},{\"name\":\"Amazon Bedrock Embeddings (1)\",\"description\":\"Embeddings model from Amazon Bedrock.\",\"data\":{\"edges\":[],\"nodes\":[{\"data\":{\"type\":\"AmazonBedrockEmbeddings\",\"node\":{\"template\":{\"code\":{\"dynamic\":true,\"required\":true,\"placeholder\":\"\",\"show\":false,\"multiline\":true,\"value\":\"from typing import Optional\\n\\nfrom langchain.embeddings import BedrockEmbeddings\\nfrom langchain.embeddings.base import Embeddings\\nfrom langflow import CustomComponent\\n\\n\\nclass AmazonBedrockEmeddingsComponent(CustomComponent):\\n \\\"\\\"\\\"\\n A custom component for implementing an Embeddings Model using Amazon Bedrock.\\n \\\"\\\"\\\"\\n\\n display_name: str = \\\"Amazon Bedrock Embeddings\\\"\\n description: str = \\\"Embeddings model from Amazon Bedrock.\\\"\\n documentation = \\\"https://python.langchain.com/docs/modules/data_connection/text_embedding/integrations/bedrock\\\"\\n beta = True\\n\\n def build_config(self):\\n return {\\n \\\"model_id\\\": {\\n \\\"display_name\\\": \\\"Model Id\\\",\\n \\\"options\\\": [\\\"amazon.titan-embed-text-v1\\\"],\\n },\\n \\\"credentials_profile_name\\\": {\\\"display_name\\\": \\\"Credentials Profile Name\\\"},\\n \\\"endpoint_url\\\": {\\\"display_name\\\": \\\"Bedrock Endpoint URL\\\"},\\n \\\"region_name\\\": {\\\"display_name\\\": \\\"AWS Region\\\"},\\n \\\"code\\\": {\\\"show\\\": False},\\n }\\n\\n def build(\\n self,\\n model_id: str = \\\"amazon.titan-embed-text-v1\\\",\\n credentials_profile_name: Optional[str] = None,\\n endpoint_url: Optional[str] = None,\\n region_name: Optional[str] = None,\\n ) -> Embeddings:\\n try:\\n output = BedrockEmbeddings(\\n credentials_profile_name=credentials_profile_name,\\n model_id=model_id,\\n endpoint_url=endpoint_url,\\n region_name=region_name,\\n ) # type: ignore\\n except Exception as e:\\n raise ValueError(\\\"Could not connect to AmazonBedrock API.\\\") from e\\n return output\\n\",\"password\":false,\"name\":\"code\",\"advanced\":false,\"type\":\"code\",\"list\":false},\"_type\":\"CustomComponent\",\"credentials_profile_name\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"password\":false,\"name\":\"credentials_profile_name\",\"display_name\":\"Credentials Profile Name\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"str\",\"list\":false},\"endpoint_url\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"password\":false,\"name\":\"endpoint_url\",\"display_name\":\"Bedrock Endpoint URL\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"str\",\"list\":false},\"model_id\":{\"required\":true,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"value\":\"amazon.titan-embed-text-v1\",\"password\":false,\"options\":[\"amazon.titan-embed-text-v1\"],\"name\":\"model_id\",\"display_name\":\"Model Id\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"str\",\"list\":true},\"region_name\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"password\":false,\"name\":\"region_name\",\"display_name\":\"AWS Region\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"str\",\"list\":false}},\"description\":\"Embeddings model from Amazon Bedrock.\",\"base_classes\":[\"Embeddings\"],\"display_name\":\"Amazon Bedrock Embeddings\",\"custom_fields\":{\"credentials_profile_name\":null,\"endpoint_url\":null,\"model_id\":null,\"region_name\":null},\"output_types\":[\"AmazonBedrockEmbeddings\"],\"documentation\":\"https://python.langchain.com/docs/modules/data_connection/text_embedding/integrations/bedrock\",\"beta\":true,\"error\":null,\"official\":false},\"id\":\"AmazonBedrockEmbeddings-Bs5PG\"},\"id\":\"AmazonBedrockEmbeddings-Bs5PG\",\"position\":{\"x\":0,\"y\":0},\"type\":\"genericNode\"}],\"viewport\":{\"x\":1,\"y\":1,\"zoom\":1}},\"is_component\":true,\"updated_at\":\"2023-12-09T14:05:50.570800\",\"folder\":null,\"id\":\"53ad1fe2-f3af-4354-86e0-eb141ce12859\",\"user_id\":\"d253bfba-6368-44dc-85f7-0d6da9e45968\"},{\"name\":\"Amazon Bedrock Embeddings (2)\",\"description\":\"Embeddings model from Amazon Bedrock.\",\"data\":{\"edges\":[],\"nodes\":[{\"data\":{\"type\":\"AmazonBedrockEmbeddings\",\"node\":{\"template\":{\"code\":{\"dynamic\":true,\"required\":true,\"placeholder\":\"\",\"show\":false,\"multiline\":true,\"value\":\"from typing import Optional\\n\\nfrom langchain.embeddings import BedrockEmbeddings\\nfrom langchain.embeddings.base import Embeddings\\nfrom langflow import CustomComponent\\n\\n\\nclass AmazonBedrockEmeddingsComponent(CustomComponent):\\n \\\"\\\"\\\"\\n A custom component for implementing an Embeddings Model using Amazon Bedrock.\\n \\\"\\\"\\\"\\n\\n display_name: str = \\\"Amazon Bedrock Embeddings\\\"\\n description: str = \\\"Embeddings model from Amazon Bedrock.\\\"\\n documentation = \\\"https://python.langchain.com/docs/modules/data_connection/text_embedding/integrations/bedrock\\\"\\n beta = True\\n\\n def build_config(self):\\n return {\\n \\\"model_id\\\": {\\n \\\"display_name\\\": \\\"Model Id\\\",\\n \\\"options\\\": [\\\"amazon.titan-embed-text-v1\\\"],\\n },\\n \\\"credentials_profile_name\\\": {\\\"display_name\\\": \\\"Credentials Profile Name\\\"},\\n \\\"endpoint_url\\\": {\\\"display_name\\\": \\\"Bedrock Endpoint URL\\\"},\\n \\\"region_name\\\": {\\\"display_name\\\": \\\"AWS Region\\\"},\\n \\\"code\\\": {\\\"show\\\": False},\\n }\\n\\n def build(\\n self,\\n model_id: str = \\\"amazon.titan-embed-text-v1\\\",\\n credentials_profile_name: Optional[str] = None,\\n endpoint_url: Optional[str] = None,\\n region_name: Optional[str] = None,\\n ) -> Embeddings:\\n try:\\n output = BedrockEmbeddings(\\n credentials_profile_name=credentials_profile_name,\\n model_id=model_id,\\n endpoint_url=endpoint_url,\\n region_name=region_name,\\n ) # type: ignore\\n except Exception as e:\\n raise ValueError(\\\"Could not connect to AmazonBedrock API.\\\") from e\\n return output\\n\",\"password\":false,\"name\":\"code\",\"advanced\":false,\"type\":\"code\",\"list\":false},\"_type\":\"CustomComponent\",\"credentials_profile_name\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"password\":false,\"name\":\"credentials_profile_name\",\"display_name\":\"Credentials Profile Name\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"str\",\"list\":false},\"endpoint_url\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"password\":false,\"name\":\"endpoint_url\",\"display_name\":\"Bedrock Endpoint URL\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"str\",\"list\":false},\"model_id\":{\"required\":true,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"value\":\"amazon.titan-embed-text-v1\",\"password\":false,\"options\":[\"amazon.titan-embed-text-v1\"],\"name\":\"model_id\",\"display_name\":\"Model Id\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"str\",\"list\":true},\"region_name\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"password\":false,\"name\":\"region_name\",\"display_name\":\"AWS Region\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"str\",\"list\":false}},\"description\":\"Embeddings model from Amazon Bedrock.\",\"base_classes\":[\"Embeddings\"],\"display_name\":\"Amazon Bedrock Embeddings\",\"custom_fields\":{\"credentials_profile_name\":null,\"endpoint_url\":null,\"model_id\":null,\"region_name\":null},\"output_types\":[\"AmazonBedrockEmbeddings\"],\"documentation\":\"https://python.langchain.com/docs/modules/data_connection/text_embedding/integrations/bedrock\",\"beta\":true,\"error\":null,\"official\":false},\"id\":\"AmazonBedrockEmbeddings-zSZ4t\"},\"id\":\"AmazonBedrockEmbeddings-zSZ4t\",\"position\":{\"x\":0,\"y\":0},\"type\":\"genericNode\"}],\"viewport\":{\"x\":1,\"y\":1,\"zoom\":1}},\"is_component\":true,\"updated_at\":\"2023-12-09T14:06:11.415088\",\"folder\":null,\"id\":\"e9ed1c90-146e-452d-8ccd-ebf2e0da4331\",\"user_id\":\"d253bfba-6368-44dc-85f7-0d6da9e45968\"},{\"name\":\"Amazon Bedrock Embeddings (3)\",\"description\":\"Embeddings model from Amazon Bedrock.\",\"data\":{\"edges\":[],\"nodes\":[{\"data\":{\"type\":\"AmazonBedrockEmbeddings\",\"node\":{\"template\":{\"code\":{\"dynamic\":true,\"required\":true,\"placeholder\":\"\",\"show\":false,\"multiline\":true,\"value\":\"from typing import Optional\\n\\nfrom langchain.embeddings import BedrockEmbeddings\\nfrom langchain.embeddings.base import Embeddings\\nfrom langflow import CustomComponent\\n\\n\\nclass AmazonBedrockEmeddingsComponent(CustomComponent):\\n \\\"\\\"\\\"\\n A custom component for implementing an Embeddings Model using Amazon Bedrock.\\n \\\"\\\"\\\"\\n\\n display_name: str = \\\"Amazon Bedrock Embeddings\\\"\\n description: str = \\\"Embeddings model from Amazon Bedrock.\\\"\\n documentation = \\\"https://python.langchain.com/docs/modules/data_connection/text_embedding/integrations/bedrock\\\"\\n beta = True\\n\\n def build_config(self):\\n return {\\n \\\"model_id\\\": {\\n \\\"display_name\\\": \\\"Model Id\\\",\\n \\\"options\\\": [\\\"amazon.titan-embed-text-v1\\\"],\\n },\\n \\\"credentials_profile_name\\\": {\\\"display_name\\\": \\\"Credentials Profile Name\\\"},\\n \\\"endpoint_url\\\": {\\\"display_name\\\": \\\"Bedrock Endpoint URL\\\"},\\n \\\"region_name\\\": {\\\"display_name\\\": \\\"AWS Region\\\"},\\n \\\"code\\\": {\\\"show\\\": False},\\n }\\n\\n def build(\\n self,\\n model_id: str = \\\"amazon.titan-embed-text-v1\\\",\\n credentials_profile_name: Optional[str] = None,\\n endpoint_url: Optional[str] = None,\\n region_name: Optional[str] = None,\\n ) -> Embeddings:\\n try:\\n output = BedrockEmbeddings(\\n credentials_profile_name=credentials_profile_name,\\n model_id=model_id,\\n endpoint_url=endpoint_url,\\n region_name=region_name,\\n ) # type: ignore\\n except Exception as e:\\n raise ValueError(\\\"Could not connect to AmazonBedrock API.\\\") from e\\n return output\\n\",\"password\":false,\"name\":\"code\",\"advanced\":false,\"type\":\"code\",\"list\":false},\"_type\":\"CustomComponent\",\"credentials_profile_name\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"password\":false,\"name\":\"credentials_profile_name\",\"display_name\":\"Credentials Profile Name\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"str\",\"list\":false},\"endpoint_url\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"password\":false,\"name\":\"endpoint_url\",\"display_name\":\"Bedrock Endpoint URL\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"str\",\"list\":false},\"model_id\":{\"required\":true,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"value\":\"amazon.titan-embed-text-v1\",\"password\":false,\"options\":[\"amazon.titan-embed-text-v1\"],\"name\":\"model_id\",\"display_name\":\"Model Id\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"str\",\"list\":true},\"region_name\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"password\":false,\"name\":\"region_name\",\"display_name\":\"AWS Region\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"str\",\"list\":false}},\"description\":\"Embeddings model from Amazon Bedrock.\",\"base_classes\":[\"Embeddings\"],\"display_name\":\"Amazon Bedrock Embeddings\",\"custom_fields\":{\"credentials_profile_name\":null,\"endpoint_url\":null,\"model_id\":null,\"region_name\":null},\"output_types\":[\"AmazonBedrockEmbeddings\"],\"documentation\":\"https://python.langchain.com/docs/modules/data_connection/text_embedding/integrations/bedrock\",\"beta\":true,\"error\":null,\"official\":false},\"id\":\"AmazonBedrockEmbeddings-Bxhlt\"},\"id\":\"AmazonBedrockEmbeddings-Bxhlt\",\"position\":{\"x\":0,\"y\":0},\"type\":\"genericNode\"}],\"viewport\":{\"x\":1,\"y\":1,\"zoom\":1}},\"is_component\":true,\"updated_at\":\"2023-12-09T14:07:06.411108\",\"folder\":null,\"id\":\"83783c57-64e3-41a6-aa7e-ed82f80f1e53\",\"user_id\":\"d253bfba-6368-44dc-85f7-0d6da9e45968\"},{\"name\":\"CSVLoader (6)\",\"description\":\"Load a `CSV` file into a list of Documents.\",\"data\":{\"edges\":[],\"nodes\":[{\"data\":{\"type\":\"CSVLoader\",\"node\":{\"template\":{\"file_path\":{\"required\":true,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"value\":\"\",\"password\":false,\"name\":\"file_path\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"file\",\"list\":false,\"fileTypes\":[\".csv\"],\"file_path\":null},\"metadata\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"value\":[{\"z2b\":\"z9\"}],\"password\":false,\"name\":\"metadata\",\"display_name\":\"Metadata\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"dict\",\"list\":false},\"_type\":\"CSVLoader\"},\"description\":\"Load a `CSV` file into a list of Documents.\",\"base_classes\":[\"Document\"],\"display_name\":\"CSVLoader\",\"custom_fields\":{},\"output_types\":[\"Document\"],\"documentation\":\"https://python.langchain.com/docs/modules/data_connection/document_loaders/integrations/csv\",\"beta\":false,\"error\":null,\"official\":false},\"id\":\"CSVLoader-2pn2o\"},\"id\":\"CSVLoader-2pn2o\",\"position\":{\"x\":0,\"y\":0},\"type\":\"genericNode\"}],\"viewport\":{\"x\":1,\"y\":1,\"zoom\":1}},\"is_component\":true,\"updated_at\":\"2023-12-09T14:38:30.706258\",\"folder\":null,\"id\":\"c4ae9de6-9df3-4d3c-afc9-1752af4fecd7\",\"user_id\":\"d253bfba-6368-44dc-85f7-0d6da9e45968\"},{\"name\":\"Agent Initializer\",\"description\":\"Initialize a Langchain Agent.\",\"data\":{\"edges\":[],\"nodes\":[{\"data\":{\"type\":\"AgentInitializer\",\"node\":{\"template\":{\"code\":{\"dynamic\":true,\"required\":true,\"placeholder\":\"\",\"show\":true,\"multiline\":true,\"value\":\"from typing import Callable, List, Union\\n\\nfrom langchain.agents import AgentExecutor, AgentType, initialize_agent, types\\n\\nfrom langflow import CustomComponent\\nfrom langflow.field_typing import BaseChatMemory, BaseLanguageModel, Tool\\n\\n\\nclass AgentInitializerComponent(CustomComponent):\\n display_name: str = \\\"Agent Initializer\\\"\\n description: str = \\\"Initialize a Langchain Agent.\\\"\\n documentation: str = \\\"https://python.langchain.com/docs/modules/agents/agent_types/\\\"\\n\\n def build_config(self):\\n agents = list(types.AGENT_TO_CLASS.keys())\\n # field_type and required are optional\\n return {\\n \\\"agent\\\": {\\\"options\\\": agents, \\\"value\\\": agents[0], \\\"display_name\\\": \\\"Agent Type\\\"},\\n \\\"max_iterations\\\": {\\\"display_name\\\": \\\"Max Iterations\\\", \\\"value\\\": 10},\\n \\\"memory\\\": {\\\"display_name\\\": \\\"Memory\\\"},\\n \\\"tools\\\": {\\\"display_name\\\": \\\"Tools\\\"},\\n \\\"llm\\\": {\\\"display_name\\\": \\\"Language Model\\\"},\\n }\\n\\n def build(\\n self, agent: str, llm: BaseLanguageModel, memory: BaseChatMemory, tools: List[Tool], max_iterations: int\\n ) -> Union[AgentExecutor, Callable]:\\n agent = AgentType(agent)\\n return initialize_agent(\\n tools=tools,\\n llm=llm,\\n agent=agent,\\n memory=memory,\\n return_intermediate_steps=True,\\n handle_parsing_errors=True,\\n max_iterations=max_iterations,\\n )\\n\",\"password\":false,\"name\":\"code\",\"advanced\":false,\"type\":\"code\",\"list\":false},\"_type\":\"CustomComponent\",\"agent\":{\"required\":true,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"value\":\"zero-shot-react-description\",\"password\":false,\"options\":[\"zero-shot-react-description\",\"react-docstore\",\"self-ask-with-search\",\"conversational-react-description\",\"chat-zero-shot-react-description\",\"chat-conversational-react-description\",\"structured-chat-zero-shot-react-description\",\"openai-functions\",\"openai-multi-functions\",\"JsonAgent\",\"CSVAgent\",\"AgentInitializer\",\"VectorStoreAgent\",\"VectorStoreRouterAgent\",\"SQLAgent\"],\"name\":\"agent\",\"display_name\":\"Agent Type\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"str\",\"list\":true},\"llm\":{\"required\":true,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"password\":false,\"name\":\"llm\",\"display_name\":\"Language Model\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"BaseLanguageModel\",\"list\":false},\"max_iterations\":{\"required\":true,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"value\":10,\"password\":false,\"name\":\"max_iterations\",\"display_name\":\"Max Iterations\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"int\",\"list\":false},\"memory\":{\"required\":true,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"password\":false,\"name\":\"memory\",\"display_name\":\"Memory\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"BaseChatMemory\",\"list\":false},\"tools\":{\"required\":true,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"password\":false,\"name\":\"tools\",\"display_name\":\"Tools\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"Tool\",\"list\":true}},\"description\":\"Initialize a Langchain Agent.\",\"base_classes\":[\"Chain\",\"AgentExecutor\",\"Callable\"],\"display_name\":\"Agent Initializer\",\"custom_fields\":{\"agent\":null,\"llm\":null,\"max_iterations\":null,\"memory\":null,\"tools\":null},\"output_types\":[\"AgentInitializer\"],\"documentation\":\"https://python.langchain.com/docs/modules/agents/agent_types/\",\"beta\":true,\"error\":null,\"official\":false},\"id\":\"AgentInitializer-MJrAC\"},\"id\":\"AgentInitializer-MJrAC\",\"position\":{\"x\":0,\"y\":0},\"type\":\"genericNode\"}],\"viewport\":{\"x\":1,\"y\":1,\"zoom\":1}},\"is_component\":true,\"updated_at\":\"2023-12-09T14:42:54.715163\",\"folder\":null,\"id\":\"ff84b5f9-5680-4084-a9f1-7d94fe675486\",\"user_id\":\"d253bfba-6368-44dc-85f7-0d6da9e45968\"},{\"name\":\"Agent Initializer (1)\",\"description\":\"Initialize a Langchain Agent.\",\"data\":{\"edges\":[],\"nodes\":[{\"data\":{\"type\":\"AgentInitializer\",\"node\":{\"template\":{\"code\":{\"dynamic\":true,\"required\":true,\"placeholder\":\"\",\"show\":true,\"multiline\":true,\"value\":\"from typing import Callable, List, Union\\n\\nfrom langchain.agents import AgentExecutor, AgentType, initialize_agent, types\\n\\nfrom langflow import CustomComponent\\nfrom langflow.field_typing import BaseChatMemory, BaseLanguageModel, Tool\\n\\n\\nclass AgentInitializerComponent(CustomComponent):\\n display_name: str = \\\"Agent Initializer\\\"\\n description: str = \\\"Initialize a Langchain Agent.\\\"\\n documentation: str = \\\"https://python.langchain.com/docs/modules/agents/agent_types/\\\"\\n\\n def build_config(self):\\n agents = list(types.AGENT_TO_CLASS.keys())\\n # field_type and required are optional\\n return {\\n \\\"agent\\\": {\\\"options\\\": agents, \\\"value\\\": agents[0], \\\"display_name\\\": \\\"Agent Type\\\"},\\n \\\"max_iterations\\\": {\\\"display_name\\\": \\\"Max Iterations\\\", \\\"value\\\": 10},\\n \\\"memory\\\": {\\\"display_name\\\": \\\"Memory\\\"},\\n \\\"tools\\\": {\\\"display_name\\\": \\\"Tools\\\"},\\n \\\"llm\\\": {\\\"display_name\\\": \\\"Language Model\\\"},\\n }\\n\\n def build(\\n self, agent: str, llm: BaseLanguageModel, memory: BaseChatMemory, tools: List[Tool], max_iterations: int\\n ) -> Union[AgentExecutor, Callable]:\\n agent = AgentType(agent)\\n return initialize_agent(\\n tools=tools,\\n llm=llm,\\n agent=agent,\\n memory=memory,\\n return_intermediate_steps=True,\\n handle_parsing_errors=True,\\n max_iterations=max_iterations,\\n )\\n\",\"password\":false,\"name\":\"code\",\"advanced\":false,\"type\":\"code\",\"list\":false},\"_type\":\"CustomComponent\",\"agent\":{\"required\":true,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"value\":\"zero-shot-react-description\",\"password\":false,\"options\":[\"zero-shot-react-description\",\"react-docstore\",\"self-ask-with-search\",\"conversational-react-description\",\"chat-zero-shot-react-description\",\"chat-conversational-react-description\",\"structured-chat-zero-shot-react-description\",\"openai-functions\",\"openai-multi-functions\",\"JsonAgent\",\"CSVAgent\",\"AgentInitializer\",\"VectorStoreAgent\",\"VectorStoreRouterAgent\",\"SQLAgent\"],\"name\":\"agent\",\"display_name\":\"Agent Type\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"str\",\"list\":true},\"llm\":{\"required\":true,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"password\":false,\"name\":\"llm\",\"display_name\":\"Language Model\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"BaseLanguageModel\",\"list\":false},\"max_iterations\":{\"required\":true,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"value\":10,\"password\":false,\"name\":\"max_iterations\",\"display_name\":\"Max Iterations\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"int\",\"list\":false},\"memory\":{\"required\":true,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"password\":false,\"name\":\"memory\",\"display_name\":\"Memory\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"BaseChatMemory\",\"list\":false},\"tools\":{\"required\":true,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"password\":false,\"name\":\"tools\",\"display_name\":\"Tools\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"Tool\",\"list\":true}},\"description\":\"Initialize a Langchain Agent.\",\"base_classes\":[\"Chain\",\"AgentExecutor\",\"Callable\"],\"display_name\":\"Agent Initializer\",\"custom_fields\":{\"agent\":null,\"llm\":null,\"max_iterations\":null,\"memory\":null,\"tools\":null},\"output_types\":[\"AgentInitializer\"],\"documentation\":\"https://python.langchain.com/docs/modules/agents/agent_types/\",\"beta\":true,\"error\":null,\"official\":false},\"id\":\"AgentInitializer-3lcZ4\"},\"id\":\"AgentInitializer-3lcZ4\",\"position\":{\"x\":0,\"y\":0},\"type\":\"genericNode\"}],\"viewport\":{\"x\":1,\"y\":1,\"zoom\":1}},\"is_component\":true,\"updated_at\":\"2023-12-09T14:43:20.819934\",\"folder\":null,\"id\":\"97f5db9f-d6cc-4555-88fb-3be102c67814\",\"user_id\":\"d253bfba-6368-44dc-85f7-0d6da9e45968\"},{\"name\":\"Exuberant Banach\",\"description\":\"Unfolding Linguistic Possibilities.\",\"data\":{\"nodes\":[],\"edges\":[],\"viewport\":{\"zoom\":1,\"x\":0,\"y\":0}},\"is_component\":false,\"updated_at\":\"2023-12-09T14:52:49.951416\",\"folder\":null,\"id\":\"a600acd1-213a-4ce7-8648-ab2ee59f5918\",\"user_id\":\"d253bfba-6368-44dc-85f7-0d6da9e45968\"},{\"name\":\"AirbyteJSONLoader (3)\",\"description\":\"Load local `Airbyte` json files.\",\"data\":{\"edges\":[],\"nodes\":[{\"data\":{\"type\":\"AirbyteJSONLoader\",\"node\":{\"template\":{\"file_path\":{\"required\":true,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"value\":\"\",\"password\":false,\"name\":\"file_path\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"file\",\"list\":false,\"fileTypes\":[\".json\"],\"file_path\":null},\"metadata\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"value\":[{\"\":\"\"}],\"password\":false,\"name\":\"metadata\",\"display_name\":\"Metadata\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"dict\",\"list\":false},\"_type\":\"AirbyteJSONLoader\"},\"description\":\"Load local `Airbyte` json files.\",\"base_classes\":[\"Document\"],\"display_name\":\"AirbyteJSONLoader\",\"custom_fields\":{},\"output_types\":[\"Document\"],\"documentation\":\"https://python.langchain.com/docs/modules/data_connection/document_loaders/integrations/airbyte_json\",\"beta\":false,\"error\":null,\"official\":false},\"id\":\"AirbyteJSONLoader-JhQtx\"},\"id\":\"AirbyteJSONLoader-JhQtx\",\"position\":{\"x\":0,\"y\":0},\"type\":\"genericNode\"}],\"viewport\":{\"x\":1,\"y\":1,\"zoom\":1}},\"is_component\":true,\"updated_at\":\"2023-12-09T14:44:49.587337\",\"folder\":null,\"id\":\"07c52ad7-ca52-4cdd-ab40-74a91dbad0dd\",\"user_id\":\"d253bfba-6368-44dc-85f7-0d6da9e45968\"},{\"name\":\"AirbyteJSONLoader (4)\",\"description\":\"Load local `Airbyte` json files.\",\"data\":{\"edges\":[],\"nodes\":[{\"data\":{\"type\":\"AirbyteJSONLoader\",\"node\":{\"template\":{\"file_path\":{\"required\":true,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"value\":\"\",\"password\":false,\"name\":\"file_path\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"file\",\"list\":false,\"fileTypes\":[\".json\"],\"file_path\":null},\"metadata\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"value\":[{\"\":\"\"}],\"password\":false,\"name\":\"metadata\",\"display_name\":\"Metadata\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"dict\",\"list\":false},\"_type\":\"AirbyteJSONLoader\"},\"description\":\"Load local `Airbyte` json files.\",\"base_classes\":[\"Document\"],\"display_name\":\"AirbyteJSONLoader\",\"custom_fields\":{},\"output_types\":[\"Document\"],\"documentation\":\"https://python.langchain.com/docs/modules/data_connection/document_loaders/integrations/airbyte_json\",\"beta\":false,\"error\":null,\"official\":false},\"id\":\"AirbyteJSONLoader-bIvDc\"},\"id\":\"AirbyteJSONLoader-bIvDc\",\"position\":{\"x\":0,\"y\":0},\"type\":\"genericNode\"}],\"viewport\":{\"x\":1,\"y\":1,\"zoom\":1}},\"is_component\":true,\"updated_at\":\"2023-12-09T14:45:13.458500\",\"folder\":null,\"id\":\"53e4d256-3653-444b-b8e0-fb97b3ae5c7e\",\"user_id\":\"d253bfba-6368-44dc-85f7-0d6da9e45968\"},{\"name\":\"AirbyteJSONLoader (5)\",\"description\":\"Load local `Airbyte` json files.\",\"data\":{\"edges\":[],\"nodes\":[{\"data\":{\"type\":\"AirbyteJSONLoader\",\"node\":{\"template\":{\"file_path\":{\"required\":true,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"value\":\"\",\"password\":false,\"name\":\"file_path\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"file\",\"list\":false,\"fileTypes\":[\".json\"],\"file_path\":null},\"metadata\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"value\":[{\"\":\"\"}],\"password\":false,\"name\":\"metadata\",\"display_name\":\"Metadata\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"dict\",\"list\":false},\"_type\":\"AirbyteJSONLoader\"},\"description\":\"Load local `Airbyte` json files.\",\"base_classes\":[\"Document\"],\"display_name\":\"AirbyteJSONLoader\",\"custom_fields\":{},\"output_types\":[\"Document\"],\"documentation\":\"https://python.langchain.com/docs/modules/data_connection/document_loaders/integrations/airbyte_json\",\"beta\":false,\"error\":null,\"official\":false},\"id\":\"AirbyteJSONLoader-2BLS8\"},\"id\":\"AirbyteJSONLoader-2BLS8\",\"position\":{\"x\":0,\"y\":0},\"type\":\"genericNode\"}],\"viewport\":{\"x\":1,\"y\":1,\"zoom\":1}},\"is_component\":true,\"updated_at\":\"2023-12-09T14:45:44.461699\",\"folder\":null,\"id\":\"b5158cc1-c6b8-4e25-907a-bc7e7637aa38\",\"user_id\":\"d253bfba-6368-44dc-85f7-0d6da9e45968\"},{\"name\":\"Amazon Bedrock Embeddings (4)\",\"description\":\"Embeddings model from Amazon Bedrock.\",\"data\":{\"edges\":[],\"nodes\":[{\"data\":{\"type\":\"AmazonBedrockEmbeddings\",\"node\":{\"template\":{\"code\":{\"dynamic\":true,\"required\":true,\"placeholder\":\"\",\"show\":false,\"multiline\":true,\"value\":\"from typing import Optional\\n\\nfrom langchain.embeddings import BedrockEmbeddings\\nfrom langchain.embeddings.base import Embeddings\\nfrom langflow import CustomComponent\\n\\n\\nclass AmazonBedrockEmeddingsComponent(CustomComponent):\\n \\\"\\\"\\\"\\n A custom component for implementing an Embeddings Model using Amazon Bedrock.\\n \\\"\\\"\\\"\\n\\n display_name: str = \\\"Amazon Bedrock Embeddings\\\"\\n description: str = \\\"Embeddings model from Amazon Bedrock.\\\"\\n documentation = \\\"https://python.langchain.com/docs/modules/data_connection/text_embedding/integrations/bedrock\\\"\\n beta = True\\n\\n def build_config(self):\\n return {\\n \\\"model_id\\\": {\\n \\\"display_name\\\": \\\"Model Id\\\",\\n \\\"options\\\": [\\\"amazon.titan-embed-text-v1\\\"],\\n },\\n \\\"credentials_profile_name\\\": {\\\"display_name\\\": \\\"Credentials Profile Name\\\"},\\n \\\"endpoint_url\\\": {\\\"display_name\\\": \\\"Bedrock Endpoint URL\\\"},\\n \\\"region_name\\\": {\\\"display_name\\\": \\\"AWS Region\\\"},\\n \\\"code\\\": {\\\"show\\\": False},\\n }\\n\\n def build(\\n self,\\n model_id: str = \\\"amazon.titan-embed-text-v1\\\",\\n credentials_profile_name: Optional[str] = None,\\n endpoint_url: Optional[str] = None,\\n region_name: Optional[str] = None,\\n ) -> Embeddings:\\n try:\\n output = BedrockEmbeddings(\\n credentials_profile_name=credentials_profile_name,\\n model_id=model_id,\\n endpoint_url=endpoint_url,\\n region_name=region_name,\\n ) # type: ignore\\n except Exception as e:\\n raise ValueError(\\\"Could not connect to AmazonBedrock API.\\\") from e\\n return output\\n\",\"password\":false,\"name\":\"code\",\"advanced\":false,\"type\":\"code\",\"list\":false},\"_type\":\"CustomComponent\",\"credentials_profile_name\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"password\":false,\"name\":\"credentials_profile_name\",\"display_name\":\"Credentials Profile Name\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"str\",\"list\":false},\"endpoint_url\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"password\":false,\"name\":\"endpoint_url\",\"display_name\":\"Bedrock Endpoint URL\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"str\",\"list\":false},\"model_id\":{\"required\":true,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"value\":\"amazon.titan-embed-text-v1\",\"password\":false,\"options\":[\"amazon.titan-embed-text-v1\"],\"name\":\"model_id\",\"display_name\":\"Model Id\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"str\",\"list\":true},\"region_name\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"password\":false,\"name\":\"region_name\",\"display_name\":\"AWS Region\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"str\",\"list\":false}},\"description\":\"Embeddings model from Amazon Bedrock.\",\"base_classes\":[\"Embeddings\"],\"display_name\":\"Amazon Bedrock Embeddings\",\"custom_fields\":{\"credentials_profile_name\":null,\"endpoint_url\":null,\"model_id\":null,\"region_name\":null},\"output_types\":[\"AmazonBedrockEmbeddings\"],\"documentation\":\"https://python.langchain.com/docs/modules/data_connection/text_embedding/integrations/bedrock\",\"beta\":true,\"error\":null,\"official\":false},\"id\":\"AmazonBedrockEmbeddings-NsBzN\"},\"id\":\"AmazonBedrockEmbeddings-NsBzN\",\"position\":{\"x\":0,\"y\":0},\"type\":\"genericNode\"}],\"viewport\":{\"x\":1,\"y\":1,\"zoom\":1}},\"is_component\":true,\"updated_at\":\"2023-12-09T14:50:29.791575\",\"folder\":null,\"id\":\"3fb77f72-1be7-4ce0-ae89-a82b0eee9acf\",\"user_id\":\"d253bfba-6368-44dc-85f7-0d6da9e45968\"},{\"name\":\"Evil Golick\",\"description\":\"Where Language Meets Logic.\",\"data\":{\"nodes\":[],\"edges\":[],\"viewport\":{\"zoom\":1,\"x\":0,\"y\":0}},\"is_component\":false,\"updated_at\":\"2023-12-11T18:19:02.707854\",\"folder\":null,\"id\":\"9c5d21c2-ea82-4cf4-a591-c3d3fd3f13e6\",\"user_id\":\"d253bfba-6368-44dc-85f7-0d6da9e45968\"},{\"name\":\"Gleeful Davinci (1)\",\"description\":\"Unleashing Linguistic Creativity.\",\"data\":{\"nodes\":[],\"edges\":[],\"viewport\":{\"zoom\":1,\"x\":0,\"y\":0}},\"is_component\":false,\"updated_at\":\"2023-12-11T18:19:02.761150\",\"folder\":null,\"id\":\"f8e2e16e-129c-4116-9626-2c6b524d97b7\",\"user_id\":\"d253bfba-6368-44dc-85f7-0d6da9e45968\"},{\"name\":\"Effervescent Degrasse\",\"description\":\"Language Models, Mapped and Mastered.\",\"data\":{\"nodes\":[],\"edges\":[],\"viewport\":{\"zoom\":1,\"x\":0,\"y\":0}},\"is_component\":false,\"updated_at\":\"2023-12-11T18:19:02.764440\",\"folder\":null,\"id\":\"d7f4f7b5-effe-4834-8cab-4f2fc4f6e9de\",\"user_id\":\"d253bfba-6368-44dc-85f7-0d6da9e45968\"},{\"name\":\"Prickly Archimedes\",\"description\":\"Language Chainlink Master.\",\"data\":{\"nodes\":[],\"edges\":[],\"viewport\":{\"zoom\":1,\"x\":0,\"y\":0}},\"is_component\":false,\"updated_at\":\"2023-12-11T18:19:02.767546\",\"folder\":null,\"id\":\"2265d813-4a87-410f-b06a-65e35db8219e\",\"user_id\":\"d253bfba-6368-44dc-85f7-0d6da9e45968\"},{\"name\":\"Boring Heyrovsky\",\"description\":\"Building Intelligent Interactions.\",\"data\":{\"nodes\":[],\"edges\":[],\"viewport\":{\"zoom\":1,\"x\":0,\"y\":0}},\"is_component\":false,\"updated_at\":\"2023-12-11T18:19:02.765105\",\"folder\":null,\"id\":\"10bfd881-e67e-4c33-965d-ee041695edce\",\"user_id\":\"d253bfba-6368-44dc-85f7-0d6da9e45968\"},{\"name\":\"Nostalgic Carroll\",\"description\":\"Unfolding Linguistic Possibilities.\",\"data\":{\"nodes\":[],\"edges\":[],\"viewport\":{\"zoom\":1,\"x\":0,\"y\":0}},\"is_component\":false,\"updated_at\":\"2023-12-11T18:19:02.811794\",\"folder\":null,\"id\":\"63fa5653-4513-47f2-8dfa-baeb1d981f93\",\"user_id\":\"d253bfba-6368-44dc-85f7-0d6da9e45968\"},{\"name\":\"Pensive Perlman\",\"description\":\"Empowering Communication, Enabling Opportunities.\",\"data\":{\"nodes\":[],\"edges\":[],\"viewport\":{\"zoom\":1,\"x\":0,\"y\":0}},\"is_component\":false,\"updated_at\":\"2023-12-11T18:19:02.814993\",\"folder\":null,\"id\":\"f4bc5945-20d9-4703-a5bb-6a4a3ef7fc8e\",\"user_id\":\"d253bfba-6368-44dc-85f7-0d6da9e45968\"},{\"name\":\"Hilarious Stallman\",\"description\":\"Connect the Dots, Craft Language.\",\"data\":{\"nodes\":[],\"edges\":[],\"viewport\":{\"zoom\":1,\"x\":0,\"y\":0}},\"is_component\":false,\"updated_at\":\"2023-12-11T18:19:02.813144\",\"folder\":null,\"id\":\"8d8b80f9-4b74-4cd5-bc5c-08a32c4d2b95\",\"user_id\":\"d253bfba-6368-44dc-85f7-0d6da9e45968\"},{\"name\":\"Awesome Einstein\",\"description\":\"The Power of Language at Your Fingertips.\",\"data\":{\"nodes\":[],\"edges\":[],\"viewport\":{\"zoom\":1,\"x\":0,\"y\":0}},\"is_component\":false,\"updated_at\":\"2023-12-11T18:20:19.518262\",\"folder\":null,\"id\":\"21808fd7-a492-4e29-8863-301c2785f542\",\"user_id\":\"d253bfba-6368-44dc-85f7-0d6da9e45968\"},{\"name\":\"Funky Swanson\",\"description\":\"Sculpting Language with Precision.\",\"data\":{\"nodes\":[],\"edges\":[],\"viewport\":{\"zoom\":1,\"x\":0,\"y\":0}},\"is_component\":false,\"updated_at\":\"2023-12-11T18:20:20.185637\",\"folder\":null,\"id\":\"7752299a-4aa9-44db-8d9c-5c4a2ac1b071\",\"user_id\":\"d253bfba-6368-44dc-85f7-0d6da9e45968\"},{\"name\":\"Romantic Pascal\",\"description\":\"Unlock the Power of AI in Your Business Conversations.\",\"data\":{\"nodes\":[],\"edges\":[],\"viewport\":{\"zoom\":1,\"x\":0,\"y\":0}},\"is_component\":false,\"updated_at\":\"2023-12-11T18:20:20.223064\",\"folder\":null,\"id\":\"78f48a13-6a9f-42ce-9d58-ec9b63b381d2\",\"user_id\":\"d253bfba-6368-44dc-85f7-0d6da9e45968\"},{\"name\":\"Twinkly Bartik\",\"description\":\"Sculpting Language with Precision.\",\"data\":{\"nodes\":[],\"edges\":[],\"viewport\":{\"zoom\":1,\"x\":0,\"y\":0}},\"is_component\":false,\"updated_at\":\"2023-12-11T18:20:20.239758\",\"folder\":null,\"id\":\"38074091-3d7c-4d42-b61b-ae195c1b8a4e\",\"user_id\":\"d253bfba-6368-44dc-85f7-0d6da9e45968\"},{\"name\":\"Condescending Joliot\",\"description\":\"Language Models, Unleashed.\",\"data\":{\"nodes\":[],\"edges\":[],\"viewport\":{\"zoom\":1,\"x\":0,\"y\":0}},\"is_component\":false,\"updated_at\":\"2023-12-11T18:20:20.271996\",\"folder\":null,\"id\":\"773020aa-5c2d-4632-ad9e-21276861ab93\",\"user_id\":\"d253bfba-6368-44dc-85f7-0d6da9e45968\"},{\"name\":\"Gleeful Kalam\",\"description\":\"The Power of Language at Your Fingertips.\",\"data\":{\"nodes\":[],\"edges\":[],\"viewport\":{\"zoom\":1,\"x\":0,\"y\":0}},\"is_component\":false,\"updated_at\":\"2023-12-11T18:20:20.283929\",\"folder\":null,\"id\":\"0092d077-6d31-401f-a739-b164476b90ed\",\"user_id\":\"d253bfba-6368-44dc-85f7-0d6da9e45968\"},{\"name\":\"Grinning Bhabha\",\"description\":\"Your Passport to Linguistic Landscapes.\",\"data\":{\"nodes\":[],\"edges\":[],\"viewport\":{\"zoom\":1,\"x\":0,\"y\":0}},\"is_component\":false,\"updated_at\":\"2023-12-11T18:20:20.467739\",\"folder\":null,\"id\":\"4a395211-712d-4dd2-b3bb-e6b19200f15d\",\"user_id\":\"d253bfba-6368-44dc-85f7-0d6da9e45968\"},{\"name\":\"Mirthful Babbage\",\"description\":\"Design Dialogues with Langflow.\",\"data\":{\"nodes\":[],\"edges\":[],\"viewport\":{\"zoom\":1,\"x\":0,\"y\":0}},\"is_component\":false,\"updated_at\":\"2023-12-11T18:20:20.742990\",\"folder\":null,\"id\":\"3f086a82-3e29-4328-9da8-e02dc9201744\",\"user_id\":\"d253bfba-6368-44dc-85f7-0d6da9e45968\"},{\"name\":\"Tiny Volta\",\"description\":\"Nurture NLP Nodes Here.\",\"data\":{\"nodes\":[],\"edges\":[],\"viewport\":{\"zoom\":1,\"x\":0,\"y\":0}},\"is_component\":false,\"updated_at\":\"2023-12-11T18:24:18.594247\",\"folder\":null,\"id\":\"659b8289-c8e8-413d-9b2b-51e68411f170\",\"user_id\":\"d253bfba-6368-44dc-85f7-0d6da9e45968\"},{\"name\":\"Radiant Jennings\",\"description\":\"Design, Develop, Dialogize.\",\"data\":{\"nodes\":[],\"edges\":[],\"viewport\":{\"zoom\":1,\"x\":0,\"y\":0}},\"is_component\":false,\"updated_at\":\"2023-12-11T18:24:42.640309\",\"folder\":null,\"id\":\"f55f0640-d47e-4471-b1ba-3411d38ecac5\",\"user_id\":\"d253bfba-6368-44dc-85f7-0d6da9e45968\"},{\"name\":\"Distracted Shaw\",\"description\":\"Interactive Language Weaving.\",\"data\":{\"nodes\":[],\"edges\":[],\"viewport\":{\"zoom\":1,\"x\":0,\"y\":0}},\"is_component\":false,\"updated_at\":\"2023-12-11T18:24:58.376247\",\"folder\":null,\"id\":\"a039811e-449a-4244-83ed-4ddd731a0921\",\"user_id\":\"d253bfba-6368-44dc-85f7-0d6da9e45968\"},{\"name\":\"Peppy Murdock (1)\",\"description\":\"Language Chainlink Master.\",\"data\":{\"nodes\":[],\"edges\":[],\"viewport\":{\"zoom\":1,\"x\":0,\"y\":0}},\"is_component\":false,\"updated_at\":\"2023-12-11T18:25:14.674524\",\"folder\":null,\"id\":\"0faf6144-6ca6-4f64-a343-665ae54774ef\",\"user_id\":\"d253bfba-6368-44dc-85f7-0d6da9e45968\"},{\"name\":\"Lively Volta\",\"description\":\"Language Models, Mapped and Mastered.\",\"data\":{\"nodes\":[],\"edges\":[],\"viewport\":{\"zoom\":1,\"x\":0,\"y\":0}},\"is_component\":false,\"updated_at\":\"2023-12-11T18:26:50.418029\",\"folder\":null,\"id\":\"c5d149d0-c401-4f5e-b79f-2abcc7b8d98d\",\"user_id\":\"d253bfba-6368-44dc-85f7-0d6da9e45968\"},{\"name\":\"Bubbly Curie\",\"description\":\"Navigate the Networks of Conversation.\",\"data\":{\"nodes\":[],\"edges\":[],\"viewport\":{\"zoom\":1,\"x\":0,\"y\":0}},\"is_component\":false,\"updated_at\":\"2023-12-11T18:27:10.900899\",\"folder\":null,\"id\":\"7bb2d226-9740-433d-861f-a499632c5a13\",\"user_id\":\"d253bfba-6368-44dc-85f7-0d6da9e45968\"},{\"name\":\"Radiant Nobel\",\"description\":\"Navigate the Linguistic Landscape, Discover Opportunities.\",\"data\":{\"nodes\":[],\"edges\":[],\"viewport\":{\"zoom\":1,\"x\":0,\"y\":0}},\"is_component\":false,\"updated_at\":\"2023-12-11T18:29:11.541630\",\"folder\":null,\"id\":\"947906d8-75ea-470c-a8e2-cc80c5d3bdbb\",\"user_id\":\"d253bfba-6368-44dc-85f7-0d6da9e45968\"},{\"name\":\"Cheerful Northcutt\",\"description\":\"Unleashing Business Potential through Language Engineering.\",\"data\":{\"nodes\":[],\"edges\":[],\"viewport\":{\"zoom\":1,\"x\":0,\"y\":0}},\"is_component\":false,\"updated_at\":\"2023-12-11T18:29:37.169791\",\"folder\":null,\"id\":\"56f109fd-2c18-42ed-a9b2-089a678a0c11\",\"user_id\":\"d253bfba-6368-44dc-85f7-0d6da9e45968\"},{\"name\":\"Suspicious Khayyam\",\"description\":\"Crafting Dialogues that Drive Business Success.\",\"data\":{\"nodes\":[],\"edges\":[],\"viewport\":{\"zoom\":1,\"x\":0,\"y\":0}},\"is_component\":false,\"updated_at\":\"2023-12-11T18:30:24.686359\",\"folder\":null,\"id\":\"551d7bfa-49aa-43f1-a779-e47eabc2aaf2\",\"user_id\":\"d253bfba-6368-44dc-85f7-0d6da9e45968\"},{\"name\":\"Twinkly Spence\",\"description\":\"Create, Curate, Communicate with Langflow.\",\"data\":{\"nodes\":[],\"edges\":[],\"viewport\":{\"zoom\":1,\"x\":0,\"y\":0}},\"is_component\":false,\"updated_at\":\"2023-12-11T18:30:47.738472\",\"folder\":null,\"id\":\"12aef128-130e-492e-bf84-62d4cb4cd456\",\"user_id\":\"d253bfba-6368-44dc-85f7-0d6da9e45968\"},{\"name\":\"Mirthful Lavoisier\",\"description\":\"Nurture NLP Nodes Here.\",\"data\":{\"nodes\":[],\"edges\":[],\"viewport\":{\"zoom\":1,\"x\":0,\"y\":0}},\"is_component\":false,\"updated_at\":\"2023-12-11T18:31:43.272365\",\"folder\":null,\"id\":\"9952c044-6903-4fba-a270-6ed0b90c93c9\",\"user_id\":\"d253bfba-6368-44dc-85f7-0d6da9e45968\"},{\"name\":\"Upbeat Bose\",\"description\":\"Unravel the Art of Articulation.\",\"data\":{\"nodes\":[],\"edges\":[],\"viewport\":{\"zoom\":1,\"x\":0,\"y\":0}},\"is_component\":false,\"updated_at\":\"2023-12-11T18:32:23.972035\",\"folder\":null,\"id\":\"65f49582-c9fa-4c67-a2bc-4e8fa73ca731\",\"user_id\":\"d253bfba-6368-44dc-85f7-0d6da9e45968\"},{\"name\":\"Tender Perlman\",\"description\":\"Maximize Impact with Intelligent Conversations.\",\"data\":{\"nodes\":[],\"edges\":[],\"viewport\":{\"zoom\":1,\"x\":0,\"y\":0}},\"is_component\":false,\"updated_at\":\"2023-12-11T18:33:26.984083\",\"folder\":null,\"id\":\"9ae57fe2-c677-47fa-a059-7d3d915a1178\",\"user_id\":\"d253bfba-6368-44dc-85f7-0d6da9e45968\"},{\"name\":\"Sharp Cori\",\"description\":\"Conversation Catalyst Engine.\",\"data\":{\"nodes\":[],\"edges\":[],\"viewport\":{\"zoom\":1,\"x\":0,\"y\":0}},\"is_component\":false,\"updated_at\":\"2023-12-11T18:33:52.377359\",\"folder\":null,\"id\":\"2920dde2-5c24-4fe0-9c06-ef86b5a16a99\",\"user_id\":\"d253bfba-6368-44dc-85f7-0d6da9e45968\"}]" + "text": "[{\"name\":\"Awesome Euclid\",\"description\":\"Language Models, Mapped and Mastered.\",\"data\":{\"nodes\":[{\"width\":384,\"height\":374,\"id\":\"PromptTemplate-m2yFu\",\"type\":\"genericNode\",\"position\":{\"x\":462.6456058272081,\"y\":1033.9314297130313},\"data\":{\"type\":\"PromptTemplate\",\"node\":{\"template\":{\"output_parser\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"password\":false,\"name\":\"output_parser\",\"advanced\":false,\"dynamic\":true,\"info\":\"\",\"type\":\"BaseOutputParser\",\"list\":false},\"input_types\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"password\":false,\"name\":\"input_types\",\"advanced\":false,\"dynamic\":true,\"info\":\"\",\"type\":\"dict\",\"list\":false},\"input_variables\":{\"required\":true,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"password\":false,\"name\":\"input_variables\",\"advanced\":false,\"dynamic\":true,\"info\":\"\",\"type\":\"str\",\"list\":true,\"value\":[\"transcription\"]},\"partial_variables\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"password\":false,\"name\":\"partial_variables\",\"advanced\":false,\"dynamic\":true,\"info\":\"\",\"type\":\"dict\",\"list\":false},\"template\":{\"required\":true,\"placeholder\":\"\",\"show\":true,\"multiline\":true,\"password\":false,\"name\":\"template\",\"advanced\":false,\"dynamic\":true,\"info\":\"\",\"type\":\"prompt\",\"list\":false,\"value\":\"create an image prompt based on the song's lyrics to be used as the album cover of this song:\\n\\nlyrics:\\n{transcription}\"},\"template_format\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"value\":\"f-string\",\"password\":false,\"name\":\"template_format\",\"advanced\":false,\"dynamic\":true,\"info\":\"\",\"type\":\"str\",\"list\":false},\"validate_template\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"value\":false,\"password\":false,\"name\":\"validate_template\",\"advanced\":false,\"dynamic\":true,\"info\":\"\",\"type\":\"bool\",\"list\":false},\"_type\":\"PromptTemplate\",\"transcription\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":true,\"value\":\"\",\"password\":false,\"name\":\"transcription\",\"display_name\":\"transcription\",\"advanced\":false,\"input_types\":[\"Document\",\"BaseOutputParser\"],\"dynamic\":false,\"info\":\"\",\"type\":\"str\",\"list\":false}},\"description\":\"A prompt template for a language model.\",\"base_classes\":[\"PromptTemplate\",\"StringPromptTemplate\",\"BasePromptTemplate\"],\"name\":\"\",\"display_name\":\"PromptTemplate\",\"documentation\":\"https://python.langchain.com/docs/modules/model_io/prompts/prompt_templates/\",\"custom_fields\":{\"\":[\"transcription\"],\"template\":[\"transcription\",\"question\"]},\"output_types\":[],\"full_path\":null,\"field_formatters\":{},\"beta\":false,\"error\":null},\"id\":\"PromptTemplate-m2yFu\"},\"selected\":false,\"positionAbsolute\":{\"x\":462.6456058272081,\"y\":1033.9314297130313},\"dragging\":false},{\"width\":384,\"height\":626,\"id\":\"ChatOpenAI-urapv\",\"type\":\"genericNode\",\"position\":{\"x\":189.94856095084924,\"y\":-85.06556385338186},\"data\":{\"type\":\"ChatOpenAI\",\"node\":{\"template\":{\"callbacks\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"password\":false,\"name\":\"callbacks\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"langchain_core.callbacks.base.BaseCallbackHandler\",\"list\":true},\"async_client\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"password\":false,\"name\":\"async_client\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"Any\",\"list\":false},\"cache\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"password\":false,\"name\":\"cache\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"bool\",\"list\":false},\"client\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"password\":false,\"name\":\"client\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"Any\",\"list\":false},\"default_headers\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"password\":false,\"name\":\"default_headers\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"dict\",\"list\":false},\"default_query\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"password\":false,\"name\":\"default_query\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"dict\",\"list\":false},\"http_client\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"password\":false,\"name\":\"http_client\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"Any\",\"list\":false},\"max_retries\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"value\":2,\"password\":false,\"name\":\"max_retries\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"int\",\"list\":false},\"max_tokens\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"password\":true,\"name\":\"max_tokens\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"int\",\"list\":false,\"value\":\"\"},\"metadata\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"password\":false,\"name\":\"metadata\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"dict\",\"list\":false},\"model_kwargs\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"password\":false,\"name\":\"model_kwargs\",\"advanced\":true,\"dynamic\":false,\"info\":\"\",\"type\":\"dict\",\"list\":false},\"model_name\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"value\":\"gpt-4-1106-preview\",\"password\":false,\"options\":[\"gpt-4-1106-preview\",\"gpt-4\",\"gpt-4-32k\",\"gpt-3.5-turbo\",\"gpt-3.5-turbo-16k\"],\"name\":\"model_name\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"str\",\"list\":true},\"n\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"value\":1,\"password\":false,\"name\":\"n\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"int\",\"list\":false},\"openai_api_base\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"password\":false,\"name\":\"openai_api_base\",\"display_name\":\"OpenAI API Base\",\"advanced\":false,\"dynamic\":false,\"info\":\"\\nThe base URL of the OpenAI API. Defaults to https://api.openai.com/v1.\\n\\nYou can change this to use other APIs like JinaChat, LocalAI and Prem.\\n\",\"type\":\"str\",\"list\":false},\"openai_api_key\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"value\":\"\",\"password\":true,\"name\":\"openai_api_key\",\"display_name\":\"OpenAI API Key\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"str\",\"list\":false},\"openai_organization\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"password\":false,\"name\":\"openai_organization\",\"display_name\":\"OpenAI Organization\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"str\",\"list\":false},\"openai_proxy\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"password\":false,\"name\":\"openai_proxy\",\"display_name\":\"OpenAI Proxy\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"str\",\"list\":false},\"request_timeout\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"password\":false,\"name\":\"request_timeout\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"float\",\"list\":false},\"streaming\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"value\":false,\"password\":false,\"name\":\"streaming\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"bool\",\"list\":false},\"tags\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"password\":false,\"name\":\"tags\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"str\",\"list\":true},\"temperature\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"value\":0.7,\"password\":false,\"name\":\"temperature\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"float\",\"list\":false},\"tiktoken_model_name\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"password\":false,\"name\":\"tiktoken_model_name\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"str\",\"list\":false},\"verbose\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"value\":false,\"password\":false,\"name\":\"verbose\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"bool\",\"list\":false},\"_type\":\"ChatOpenAI\"},\"description\":\"`OpenAI` Chat large language models API.\",\"base_classes\":[\"ChatOpenAI\",\"BaseChatModel\",\"BaseLanguageModel\",\"BaseLLM\"],\"display_name\":\"ChatOpenAI\",\"custom_fields\":{},\"output_types\":[],\"documentation\":\"https://python.langchain.com/docs/modules/model_io/models/chat/integrations/openai\",\"beta\":false,\"error\":null},\"id\":\"ChatOpenAI-urapv\"},\"selected\":false,\"positionAbsolute\":{\"x\":189.94856095084924,\"y\":-85.06556385338186},\"dragging\":false},{\"width\":384,\"height\":806,\"id\":\"CustomComponent-IEIUl\",\"type\":\"genericNode\",\"position\":{\"x\":2364.865919667005,\"y\":88.43094097025096},\"data\":{\"type\":\"CustomComponent\",\"node\":{\"template\":{\"code\":{\"dynamic\":true,\"required\":true,\"placeholder\":\"\",\"show\":true,\"multiline\":true,\"value\":\"from langflow import CustomComponent\\nfrom langflow.field_typing import Data\\nfrom platformdirs import user_cache_dir\\nimport base64\\nfrom PIL import Image\\nfrom io import BytesIO\\nfrom openai import OpenAI\\nfrom pathlib import Path\\n\\nclass Component(CustomComponent):\\n display_name: str = \\\"Image generator\\\"\\n description: str = \\\"generate images using Dall-E\\\"\\n documentation: str = \\\"http://docs.langflow.org/components/custom\\\"\\n\\n def build_config(self):\\n return {\\\"prompt\\\": {\\\"display_name\\\": \\\"Prompt\\\",\\\"input_types\\\":[\\\"str\\\"]},\\n \\\"api_key\\\":{\\\"display_name\\\":\\\"OpenAI API key\\\",\\\"password\\\":True},\\n \\\"model\\\":{\\\"display_name\\\":\\\"Model name\\\",\\\"advanced\\\":True,\\\"options\\\":[\\\"dall-e-2\\\",\\\"dall-e-3\\\"], \\\"value\\\":\\\"dall-e-3\\\"},\\n \\\"file_name\\\":{\\\"display_name\\\":\\\"File Name\\\"},\\n \\\"output_format\\\":{\\\"display_name\\\":\\\"Output format\\\",\\\"options\\\":[\\\"jpeg\\\",\\\"png\\\"],\\\"value\\\":\\\"jpeg\\\"},\\n \\\"width\\\":{\\\"display_name\\\":\\\"Width\\\" ,\\\"value\\\":1024},\\n \\\"height\\\":{\\\"display_name\\\":\\\"Height\\\", \\\"value\\\":1024}\\n }\\n\\n def build(self, prompt:str,api_key:str,model:str,file_name:str,output_format:str,width:int,height:int):\\n client = OpenAI(api_key=api_key)\\n cache_dir = Path(user_cache_dir(\\\"langflow\\\"))\\n images_dir = cache_dir / \\\"images\\\"\\n images_dir.mkdir(parents=True, exist_ok=True)\\n image_path = images_dir / f\\\"{file_name}.{output_format}\\\"\\n response = client.images.generate(\\n model=model,\\n prompt=prompt,\\n size=f\\\"{height}x{width}\\\",\\n response_format=\\\"b64_json\\\",\\n n=1,\\n )\\n # Decode base64-encoded image string\\n binary_data = base64.b64decode(response.data[0].b64_json)\\n # Create PIL Image object from binary image data\\n image_pil = Image.open(BytesIO(binary_data))\\n image_pil.save(image_path, format=output_format.upper())\\n return \\\"\\\"\",\"password\":false,\"name\":\"code\",\"advanced\":false,\"type\":\"code\",\"list\":false},\"_type\":\"CustomComponent\",\"api_key\":{\"required\":true,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"password\":true,\"name\":\"api_key\",\"display_name\":\"OpenAI API key\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"str\",\"list\":false,\"value\":\"\"},\"file_name\":{\"required\":true,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"password\":false,\"name\":\"file_name\",\"display_name\":\"File Name\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"str\",\"list\":false,\"value\":\"album\"},\"height\":{\"required\":true,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"value\":1024,\"password\":false,\"name\":\"height\",\"display_name\":\"Height\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"int\",\"list\":false},\"model\":{\"required\":true,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"value\":\"dall-e-3\",\"password\":false,\"options\":[\"dall-e-2\",\"dall-e-3\"],\"name\":\"model\",\"display_name\":\"Model name\",\"advanced\":true,\"dynamic\":false,\"info\":\"\",\"type\":\"str\",\"list\":true},\"output_format\":{\"required\":true,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"value\":\"jpeg\",\"password\":false,\"options\":[\"jpeg\",\"png\"],\"name\":\"output_format\",\"display_name\":\"Output format\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"str\",\"list\":true},\"prompt\":{\"required\":true,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"password\":false,\"name\":\"prompt\",\"display_name\":\"Prompt\",\"advanced\":false,\"input_types\":[\"str\"],\"dynamic\":false,\"info\":\"\",\"type\":\"str\",\"list\":false,\"value\":\"\"},\"width\":{\"required\":true,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"value\":1024,\"password\":false,\"name\":\"width\",\"display_name\":\"Width\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"int\",\"list\":false}},\"description\":\"generate images using Dall-E\",\"base_classes\":[\"Data\"],\"display_name\":\"Image generator\",\"custom_fields\":{\"api_key\":null,\"file_name\":null,\"height\":null,\"model\":null,\"output_format\":null,\"prompt\":null,\"width\":null},\"output_types\":[\"Data\"],\"documentation\":\"http://docs.langflow.org/components/custom\",\"beta\":true,\"error\":null},\"id\":\"CustomComponent-IEIUl\"},\"selected\":false,\"positionAbsolute\":{\"x\":2364.865919667005,\"y\":88.43094097025096}},{\"width\":384,\"height\":338,\"id\":\"LLMChain-KlJb3\",\"type\":\"genericNode\",\"position\":{\"x\":1242.9851164540805,\"y\":-139.74634696823108},\"data\":{\"type\":\"LLMChain\",\"node\":{\"template\":{\"code\":{\"dynamic\":true,\"required\":true,\"placeholder\":\"\",\"show\":false,\"multiline\":true,\"value\":\"from typing import Callable, Optional, Union\\n\\nfrom langchain.chains import LLMChain\\n\\nfrom langflow import CustomComponent\\nfrom langflow.field_typing import (\\n BaseLanguageModel,\\n BaseMemory,\\n BasePromptTemplate,\\n Chain,\\n)\\n\\n\\nclass LLMChainComponent(CustomComponent):\\n display_name = \\\"LLMChain\\\"\\n description = \\\"Chain to run queries against LLMs\\\"\\n\\n def build_config(self):\\n return {\\n \\\"prompt\\\": {\\\"display_name\\\": \\\"Prompt\\\"},\\n \\\"llm\\\": {\\\"display_name\\\": \\\"LLM\\\"},\\n \\\"memory\\\": {\\\"display_name\\\": \\\"Memory\\\"},\\n \\\"code\\\": {\\\"show\\\": False},\\n }\\n\\n def build(\\n self,\\n prompt: BasePromptTemplate,\\n llm: BaseLanguageModel,\\n memory: Optional[BaseMemory] = None,\\n ) -> Union[Chain, Callable]:\\n return LLMChain(prompt=prompt, llm=llm, memory=memory)\\n\",\"password\":false,\"name\":\"code\",\"advanced\":false,\"type\":\"code\",\"list\":false,\"display_name\":\"code\"},\"_type\":\"CustomComponent\",\"llm\":{\"required\":true,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"password\":false,\"name\":\"llm\",\"display_name\":\"LLM\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"BaseLanguageModel\",\"list\":false},\"memory\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"password\":false,\"name\":\"memory\",\"display_name\":\"Memory\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"BaseMemory\",\"list\":false},\"prompt\":{\"required\":true,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"password\":false,\"name\":\"prompt\",\"display_name\":\"Prompt\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"BasePromptTemplate\",\"list\":false}},\"description\":\"Chain to run queries against LLMs\",\"base_classes\":[\"Chain\",\"Callable\"],\"display_name\":\"LLMChain\",\"custom_fields\":{\"llm\":null,\"memory\":null,\"prompt\":null},\"output_types\":[\"LLMChain\"],\"documentation\":\"\",\"beta\":true,\"error\":null},\"id\":\"LLMChain-KlJb3\"},\"selected\":false,\"positionAbsolute\":{\"x\":1242.9851164540805,\"y\":-139.74634696823108},\"dragging\":false},{\"width\":384,\"height\":328,\"id\":\"CustomComponent-bCuc0\",\"type\":\"genericNode\",\"position\":{\"x\":1747.8107777342625,\"y\":319.13729017446667},\"data\":{\"type\":\"CustomComponent\",\"node\":{\"template\":{\"code\":{\"dynamic\":true,\"required\":true,\"placeholder\":\"\",\"show\":true,\"multiline\":true,\"value\":\"from langflow import CustomComponent\\nfrom langflow.field_typing import Data\\n\\n\\nclass Component(CustomComponent):\\n display_name: str = \\\"Custom Component\\\"\\n description: str = \\\"Create any custom component you want!\\\"\\n documentation: str = \\\"http://docs.langflow.org/components/custom\\\"\\n\\n def build_config(self):\\n return {\\\"param\\\": {\\\"display_name\\\": \\\"Parameter\\\"}}\\n\\n def build(self, param: Chain) -> str:\\n result = param.run({})\\n self.status = result\\n return result\\n\",\"password\":false,\"name\":\"code\",\"advanced\":false,\"type\":\"code\",\"list\":false},\"_type\":\"CustomComponent\",\"param\":{\"required\":true,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"password\":false,\"name\":\"param\",\"display_name\":\"Parameter\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"Chain\",\"list\":false}},\"description\":\"Create any custom component you want!\",\"base_classes\":[\"str\"],\"display_name\":\"Custom Component\",\"custom_fields\":{\"param\":null},\"output_types\":[\"str\"],\"documentation\":\"http://docs.langflow.org/components/custom\",\"beta\":true,\"error\":null},\"id\":\"CustomComponent-bCuc0\"},\"selected\":false,\"positionAbsolute\":{\"x\":1747.8107777342625,\"y\":319.13729017446667}}],\"edges\":[{\"source\":\"LLMChain-KlJb3\",\"target\":\"CustomComponent-bCuc0\",\"sourceHandle\":\"{œbaseClassesœ:[œChainœ,œCallableœ],œdataTypeœ:œLLMChainœ,œidœ:œLLMChain-KlJb3œ}\",\"targetHandle\":\"{œfieldNameœ:œparamœ,œidœ:œCustomComponent-bCuc0œ,œinputTypesœ:null,œtypeœ:œChainœ}\",\"id\":\"reactflow__edge-LLMChain-KlJb3{œbaseClassesœ:[œChainœ,œCallableœ],œdataTypeœ:œLLMChainœ,œidœ:œLLMChain-KlJb3œ}-CustomComponent-bCuc0{œfieldNameœ:œparamœ,œidœ:œCustomComponent-bCuc0œ,œinputTypesœ:null,œtypeœ:œChainœ}\",\"data\":{\"targetHandle\":{\"fieldName\":\"param\",\"id\":\"CustomComponent-bCuc0\",\"inputTypes\":null,\"type\":\"Chain\"},\"sourceHandle\":{\"baseClasses\":[\"Chain\",\"Callable\"],\"dataType\":\"LLMChain\",\"id\":\"LLMChain-KlJb3\"}},\"style\":{\"stroke\":\"#555\"},\"className\":\"stroke-gray-900 stroke-connection\",\"animated\":false,\"selected\":false},{\"source\":\"ChatOpenAI-urapv\",\"target\":\"LLMChain-KlJb3\",\"sourceHandle\":\"{œbaseClassesœ:[œChatOpenAIœ,œBaseChatModelœ,œBaseLanguageModelœ,œBaseLLMœ],œdataTypeœ:œChatOpenAIœ,œidœ:œChatOpenAI-urapvœ}\",\"targetHandle\":\"{œfieldNameœ:œllmœ,œidœ:œLLMChain-KlJb3œ,œinputTypesœ:null,œtypeœ:œBaseLanguageModelœ}\",\"id\":\"reactflow__edge-ChatOpenAI-urapv{œbaseClassesœ:[œChatOpenAIœ,œBaseChatModelœ,œBaseLanguageModelœ,œBaseLLMœ],œdataTypeœ:œChatOpenAIœ,œidœ:œChatOpenAI-urapvœ}-LLMChain-KlJb3{œfieldNameœ:œllmœ,œidœ:œLLMChain-KlJb3œ,œinputTypesœ:null,œtypeœ:œBaseLanguageModelœ}\",\"data\":{\"targetHandle\":{\"fieldName\":\"llm\",\"id\":\"LLMChain-KlJb3\",\"inputTypes\":null,\"type\":\"BaseLanguageModel\"},\"sourceHandle\":{\"baseClasses\":[\"ChatOpenAI\",\"BaseChatModel\",\"BaseLanguageModel\",\"BaseLLM\"],\"dataType\":\"ChatOpenAI\",\"id\":\"ChatOpenAI-urapv\"}},\"style\":{\"stroke\":\"#555\"},\"className\":\"stroke-gray-900 stroke-connection\",\"animated\":false,\"selected\":false},{\"source\":\"PromptTemplate-m2yFu\",\"target\":\"LLMChain-KlJb3\",\"sourceHandle\":\"{œbaseClassesœ:[œPromptTemplateœ,œStringPromptTemplateœ,œBasePromptTemplateœ],œdataTypeœ:œPromptTemplateœ,œidœ:œPromptTemplate-m2yFuœ}\",\"targetHandle\":\"{œfieldNameœ:œpromptœ,œidœ:œLLMChain-KlJb3œ,œinputTypesœ:null,œtypeœ:œBasePromptTemplateœ}\",\"id\":\"reactflow__edge-PromptTemplate-m2yFu{œbaseClassesœ:[œPromptTemplateœ,œStringPromptTemplateœ,œBasePromptTemplateœ],œdataTypeœ:œPromptTemplateœ,œidœ:œPromptTemplate-m2yFuœ}-LLMChain-KlJb3{œfieldNameœ:œpromptœ,œidœ:œLLMChain-KlJb3œ,œinputTypesœ:null,œtypeœ:œBasePromptTemplateœ}\",\"data\":{\"targetHandle\":{\"fieldName\":\"prompt\",\"id\":\"LLMChain-KlJb3\",\"inputTypes\":null,\"type\":\"BasePromptTemplate\"},\"sourceHandle\":{\"baseClasses\":[\"PromptTemplate\",\"StringPromptTemplate\",\"BasePromptTemplate\"],\"dataType\":\"PromptTemplate\",\"id\":\"PromptTemplate-m2yFu\"}},\"style\":{\"stroke\":\"#555\"},\"className\":\"stroke-gray-900 stroke-connection\",\"animated\":false,\"selected\":false},{\"source\":\"CustomComponent-bCuc0\",\"target\":\"CustomComponent-IEIUl\",\"sourceHandle\":\"{œbaseClassesœ:[œstrœ],œdataTypeœ:œCustomComponentœ,œidœ:œCustomComponent-bCuc0œ}\",\"targetHandle\":\"{œfieldNameœ:œpromptœ,œidœ:œCustomComponent-IEIUlœ,œinputTypesœ:[œstrœ],œtypeœ:œstrœ}\",\"id\":\"reactflow__edge-CustomComponent-bCuc0{œbaseClassesœ:[œstrœ],œdataTypeœ:œCustomComponentœ,œidœ:œCustomComponent-bCuc0œ}-CustomComponent-IEIUl{œfieldNameœ:œpromptœ,œidœ:œCustomComponent-IEIUlœ,œinputTypesœ:[œstrœ],œtypeœ:œstrœ}\",\"data\":{\"targetHandle\":{\"fieldName\":\"prompt\",\"id\":\"CustomComponent-IEIUl\",\"inputTypes\":[\"str\"],\"type\":\"str\"},\"sourceHandle\":{\"baseClasses\":[\"str\"],\"dataType\":\"CustomComponent\",\"id\":\"CustomComponent-bCuc0\"}},\"style\":{\"stroke\":\"#555\"},\"className\":\"stroke-gray-900 stroke-connection\",\"animated\":false,\"selected\":false}],\"viewport\":{\"x\":92.23454077990459,\"y\":183.8125619056221,\"zoom\":0.6070974421975234}},\"is_component\":false,\"updated_at\":\"2023-12-08T21:33:18.503954\",\"folder\":null,\"id\":\"fe142ce5-32dc-4955-b186-672ced662f13\",\"user_id\":\"d253bfba-6368-44dc-85f7-0d6da9e45968\"},{\"name\":\"Goofy Darwin\",\"description\":\"Conversation Catalyst Engine.\",\"data\":{\"nodes\":[{\"width\":384,\"height\":626,\"id\":\"OpenAI-3ZVDh\",\"type\":\"genericNode\",\"position\":{\"x\":-4.0041891741949485,\"y\":-114.02615182719649},\"data\":{\"type\":\"OpenAI\",\"node\":{\"template\":{\"callbacks\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"password\":false,\"name\":\"callbacks\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"langchain_core.callbacks.base.BaseCallbackHandler\",\"list\":true},\"allowed_special\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"value\":[],\"password\":false,\"name\":\"allowed_special\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"str\",\"list\":true},\"async_client\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"password\":false,\"name\":\"async_client\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"Any\",\"list\":false},\"batch_size\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"value\":20,\"password\":false,\"name\":\"batch_size\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"int\",\"list\":false},\"best_of\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"value\":1,\"password\":false,\"name\":\"best_of\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"int\",\"list\":false},\"cache\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"password\":false,\"name\":\"cache\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"bool\",\"list\":false},\"client\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"password\":false,\"name\":\"client\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"Any\",\"list\":false},\"default_headers\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"password\":false,\"name\":\"default_headers\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"dict\",\"list\":false},\"default_query\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"password\":false,\"name\":\"default_query\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"dict\",\"list\":false},\"disallowed_special\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"value\":\"all\",\"password\":false,\"name\":\"disallowed_special\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"str\",\"list\":false},\"frequency_penalty\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"value\":0,\"password\":false,\"name\":\"frequency_penalty\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"float\",\"list\":false},\"http_client\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"password\":false,\"name\":\"http_client\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"Any\",\"list\":false},\"logit_bias\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"password\":false,\"name\":\"logit_bias\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"dict\",\"list\":false},\"max_retries\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"value\":2,\"password\":false,\"name\":\"max_retries\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"int\",\"list\":false},\"max_tokens\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"value\":256,\"password\":true,\"name\":\"max_tokens\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"int\",\"list\":false},\"metadata\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"password\":false,\"name\":\"metadata\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"dict\",\"list\":false},\"model_kwargs\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"password\":false,\"name\":\"model_kwargs\",\"advanced\":true,\"dynamic\":false,\"info\":\"\",\"type\":\"dict\",\"list\":false},\"model_name\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"value\":\"text-davinci-003\",\"password\":false,\"options\":[\"text-davinci-003\",\"text-davinci-002\",\"text-curie-001\",\"text-babbage-001\",\"text-ada-001\"],\"name\":\"model_name\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"str\",\"list\":true},\"n\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"value\":1,\"password\":false,\"name\":\"n\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"int\",\"list\":false},\"openai_api_base\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"password\":false,\"name\":\"openai_api_base\",\"display_name\":\"OpenAI API Base\",\"advanced\":false,\"dynamic\":false,\"info\":\"\\nThe base URL of the OpenAI API. Defaults to https://api.openai.com/v1.\\n\\nYou can change this to use other APIs like JinaChat, LocalAI and Prem.\\n\",\"type\":\"str\",\"list\":false},\"openai_api_key\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"value\":\"sk-...\",\"password\":true,\"name\":\"openai_api_key\",\"display_name\":\"OpenAI API Key\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"str\",\"list\":false},\"openai_organization\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"password\":false,\"name\":\"openai_organization\",\"display_name\":\"OpenAI Organization\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"str\",\"list\":false},\"openai_proxy\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"password\":false,\"name\":\"openai_proxy\",\"display_name\":\"OpenAI Proxy\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"str\",\"list\":false},\"presence_penalty\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"value\":0,\"password\":false,\"name\":\"presence_penalty\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"float\",\"list\":false},\"request_timeout\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"password\":false,\"name\":\"request_timeout\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"float\",\"list\":false},\"streaming\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"value\":false,\"password\":false,\"name\":\"streaming\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"bool\",\"list\":false},\"tags\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"password\":false,\"name\":\"tags\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"str\",\"list\":true},\"temperature\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"value\":0.7,\"password\":false,\"name\":\"temperature\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"float\",\"list\":false},\"tiktoken_model_name\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"password\":false,\"name\":\"tiktoken_model_name\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"str\",\"list\":false},\"top_p\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"value\":1,\"password\":false,\"name\":\"top_p\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"float\",\"list\":false},\"verbose\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"password\":false,\"name\":\"verbose\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"bool\",\"list\":false},\"_type\":\"OpenAI\"},\"description\":\"OpenAI large language models.\",\"base_classes\":[\"OpenAI\",\"BaseLLM\",\"BaseOpenAI\",\"BaseLanguageModel\"],\"display_name\":\"OpenAI\",\"custom_fields\":{},\"output_types\":[],\"documentation\":\"https://python.langchain.com/docs/modules/model_io/models/llms/integrations/openai\",\"beta\":false,\"error\":null},\"id\":\"OpenAI-3ZVDh\"},\"selected\":true,\"positionAbsolute\":{\"x\":-4.0041891741949485,\"y\":-114.02615182719649},\"dragging\":false},{\"width\":384,\"height\":338,\"id\":\"LLMChain-RFYXY\",\"type\":\"genericNode\",\"position\":{\"x\":586.672100458868,\"y\":10.967049167706678},\"data\":{\"type\":\"LLMChain\",\"node\":{\"template\":{\"code\":{\"dynamic\":true,\"required\":true,\"placeholder\":\"\",\"show\":false,\"multiline\":true,\"value\":\"from typing import Callable, Optional, Union\\n\\nfrom langchain.chains import LLMChain\\n\\nfrom langflow import CustomComponent\\nfrom langflow.field_typing import (\\n BaseLanguageModel,\\n BaseMemory,\\n BasePromptTemplate,\\n Chain,\\n)\\n\\n\\nclass LLMChainComponent(CustomComponent):\\n display_name = \\\"LLMChain\\\"\\n description = \\\"Chain to run queries against LLMs\\\"\\n\\n def build_config(self):\\n return {\\n \\\"prompt\\\": {\\\"display_name\\\": \\\"Prompt\\\"},\\n \\\"llm\\\": {\\\"display_name\\\": \\\"LLM\\\"},\\n \\\"memory\\\": {\\\"display_name\\\": \\\"Memory\\\"},\\n \\\"code\\\": {\\\"show\\\": False},\\n }\\n\\n def build(\\n self,\\n prompt: BasePromptTemplate,\\n llm: BaseLanguageModel,\\n memory: Optional[BaseMemory] = None,\\n ) -> Union[Chain, Callable]:\\n return LLMChain(prompt=prompt, llm=llm, memory=memory)\\n\",\"password\":false,\"name\":\"code\",\"advanced\":false,\"type\":\"code\",\"list\":false},\"_type\":\"CustomComponent\",\"llm\":{\"required\":true,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"password\":false,\"name\":\"llm\",\"display_name\":\"LLM\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"BaseLanguageModel\",\"list\":false},\"memory\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"password\":false,\"name\":\"memory\",\"display_name\":\"Memory\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"BaseMemory\",\"list\":false},\"prompt\":{\"required\":true,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"password\":false,\"name\":\"prompt\",\"display_name\":\"Prompt\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"BasePromptTemplate\",\"list\":false}},\"description\":\"Chain to run queries against LLMs\",\"base_classes\":[\"Chain\",\"Callable\"],\"display_name\":\"LLMChain\",\"custom_fields\":{\"llm\":null,\"memory\":null,\"prompt\":null},\"output_types\":[\"LLMChain\"],\"documentation\":\"\",\"beta\":true,\"error\":null},\"id\":\"LLMChain-RFYXY\"},\"positionAbsolute\":{\"x\":586.672100458868,\"y\":10.967049167706678}},{\"width\":384,\"height\":242,\"id\":\"ChatPromptTemplate-ce1sg\",\"type\":\"genericNode\",\"position\":{\"x\":395.598984452791,\"y\":612.188491773035},\"data\":{\"type\":\"ChatPromptTemplate\",\"node\":{\"template\":{\"messages\":{\"required\":true,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"password\":false,\"name\":\"messages\",\"advanced\":false,\"dynamic\":true,\"info\":\"\",\"type\":\"BaseMessagePromptTemplate\",\"list\":true},\"output_parser\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"password\":false,\"name\":\"output_parser\",\"advanced\":false,\"dynamic\":true,\"info\":\"\",\"type\":\"BaseOutputParser\",\"list\":false},\"input_types\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"password\":false,\"name\":\"input_types\",\"advanced\":false,\"dynamic\":true,\"info\":\"\",\"type\":\"dict\",\"list\":false},\"input_variables\":{\"required\":true,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"password\":false,\"name\":\"input_variables\",\"advanced\":false,\"dynamic\":true,\"info\":\"\",\"type\":\"str\",\"list\":true},\"partial_variables\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"password\":false,\"name\":\"partial_variables\",\"advanced\":false,\"dynamic\":true,\"info\":\"\",\"type\":\"dict\",\"list\":false},\"validate_template\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"value\":false,\"password\":false,\"name\":\"validate_template\",\"advanced\":false,\"dynamic\":true,\"info\":\"\",\"type\":\"bool\",\"list\":false},\"_type\":\"ChatPromptTemplate\"},\"description\":\"A prompt template for chat models.\",\"base_classes\":[\"ChatPromptTemplate\",\"BaseChatPromptTemplate\",\"BasePromptTemplate\"],\"display_name\":\"ChatPromptTemplate\",\"custom_fields\":{},\"output_types\":[],\"documentation\":\"https://python.langchain.com/docs/modules/model_io/models/chat/how_to/prompts\",\"beta\":false,\"error\":null},\"id\":\"ChatPromptTemplate-ce1sg\"},\"selected\":false,\"positionAbsolute\":{\"x\":395.598984452791,\"y\":612.188491773035},\"dragging\":false}],\"edges\":[{\"source\":\"OpenAI-3ZVDh\",\"sourceHandle\":\"{œbaseClassesœ:[œOpenAIœ,œBaseLLMœ,œBaseOpenAIœ,œBaseLanguageModelœ],œdataTypeœ:œOpenAIœ,œidœ:œOpenAI-3ZVDhœ}\",\"target\":\"LLMChain-RFYXY\",\"targetHandle\":\"{œfieldNameœ:œllmœ,œidœ:œLLMChain-RFYXYœ,œinputTypesœ:null,œtypeœ:œBaseLanguageModelœ}\",\"data\":{\"targetHandle\":{\"fieldName\":\"llm\",\"id\":\"LLMChain-RFYXY\",\"inputTypes\":null,\"type\":\"BaseLanguageModel\"},\"sourceHandle\":{\"baseClasses\":[\"OpenAI\",\"BaseLLM\",\"BaseOpenAI\",\"BaseLanguageModel\"],\"dataType\":\"OpenAI\",\"id\":\"OpenAI-3ZVDh\"}},\"style\":{\"stroke\":\"#555\"},\"className\":\"stroke-foreground stroke-connection\",\"animated\":false,\"id\":\"reactflow__edge-OpenAI-3ZVDh{œbaseClassesœ:[œOpenAIœ,œBaseLLMœ,œBaseOpenAIœ,œBaseLanguageModelœ],œdataTypeœ:œOpenAIœ,œidœ:œOpenAI-3ZVDhœ}-LLMChain-RFYXY{œfieldNameœ:œllmœ,œidœ:œLLMChain-RFYXYœ,œinputTypesœ:null,œtypeœ:œBaseLanguageModelœ}\"},{\"source\":\"ChatPromptTemplate-ce1sg\",\"sourceHandle\":\"{œbaseClassesœ:[œChatPromptTemplateœ,œBaseChatPromptTemplateœ,œBasePromptTemplateœ],œdataTypeœ:œChatPromptTemplateœ,œidœ:œChatPromptTemplate-ce1sgœ}\",\"target\":\"LLMChain-RFYXY\",\"targetHandle\":\"{œfieldNameœ:œpromptœ,œidœ:œLLMChain-RFYXYœ,œinputTypesœ:null,œtypeœ:œBasePromptTemplateœ}\",\"data\":{\"targetHandle\":{\"fieldName\":\"prompt\",\"id\":\"LLMChain-RFYXY\",\"inputTypes\":null,\"type\":\"BasePromptTemplate\"},\"sourceHandle\":{\"baseClasses\":[\"ChatPromptTemplate\",\"BaseChatPromptTemplate\",\"BasePromptTemplate\"],\"dataType\":\"ChatPromptTemplate\",\"id\":\"ChatPromptTemplate-ce1sg\"}},\"style\":{\"stroke\":\"#555\"},\"className\":\"stroke-foreground stroke-connection\",\"animated\":false,\"id\":\"reactflow__edge-ChatPromptTemplate-ce1sg{œbaseClassesœ:[œChatPromptTemplateœ,œBaseChatPromptTemplateœ,œBasePromptTemplateœ],œdataTypeœ:œChatPromptTemplateœ,œidœ:œChatPromptTemplate-ce1sgœ}-LLMChain-RFYXY{œfieldNameœ:œpromptœ,œidœ:œLLMChain-RFYXYœ,œinputTypesœ:null,œtypeœ:œBasePromptTemplateœ}\"}],\"viewport\":{\"x\":8.832868402772647,\"y\":189.85443326477025,\"zoom\":0.6070974421975235}},\"is_component\":false,\"updated_at\":\"2023-12-04T22:50:19.584160\",\"folder\":null,\"id\":\"103766f0-1f50-427a-9ba7-2ab73343c524\",\"user_id\":\"d253bfba-6368-44dc-85f7-0d6da9e45968\"},{\"name\":\"Perky Easley\",\"description\":\"Your Toolkit for Text Generation.\",\"data\":{\"nodes\":[{\"width\":384,\"height\":626,\"id\":\"ChatOpenAI-VPh47\",\"type\":\"genericNode\",\"position\":{\"x\":-328.5742193020408,\"y\":-420.1025929438987},\"data\":{\"type\":\"ChatOpenAI\",\"node\":{\"template\":{\"callbacks\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"password\":false,\"name\":\"callbacks\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"langchain_core.callbacks.base.BaseCallbackHandler\",\"list\":true},\"async_client\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"password\":false,\"name\":\"async_client\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"Any\",\"list\":false},\"cache\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"password\":false,\"name\":\"cache\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"bool\",\"list\":false},\"client\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"password\":false,\"name\":\"client\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"Any\",\"list\":false},\"default_headers\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"password\":false,\"name\":\"default_headers\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"dict\",\"list\":false},\"default_query\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"password\":false,\"name\":\"default_query\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"dict\",\"list\":false},\"http_client\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"password\":false,\"name\":\"http_client\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"Any\",\"list\":false},\"max_retries\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"value\":2,\"password\":false,\"name\":\"max_retries\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"int\",\"list\":false},\"max_tokens\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"password\":true,\"name\":\"max_tokens\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"int\",\"list\":false},\"metadata\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"password\":false,\"name\":\"metadata\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"dict\",\"list\":false},\"model_kwargs\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"password\":false,\"name\":\"model_kwargs\",\"advanced\":true,\"dynamic\":false,\"info\":\"\",\"type\":\"dict\",\"list\":false},\"model_name\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"value\":\"gpt-3.5-turbo\",\"password\":false,\"options\":[\"gpt-4-1106-preview\",\"gpt-4\",\"gpt-4-32k\",\"gpt-3.5-turbo\",\"gpt-3.5-turbo-16k\"],\"name\":\"model_name\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"str\",\"list\":true},\"n\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"value\":1,\"password\":false,\"name\":\"n\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"int\",\"list\":false},\"openai_api_base\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"password\":false,\"name\":\"openai_api_base\",\"display_name\":\"OpenAI API Base\",\"advanced\":false,\"dynamic\":false,\"info\":\"\\nThe base URL of the OpenAI API. Defaults to https://api.openai.com/v1.\\n\\nYou can change this to use other APIs like JinaChat, LocalAI and Prem.\\n\",\"type\":\"str\",\"list\":false},\"openai_api_key\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"value\":\"sk-...\",\"password\":true,\"name\":\"openai_api_key\",\"display_name\":\"OpenAI API Key\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"str\",\"list\":false},\"openai_organization\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"password\":false,\"name\":\"openai_organization\",\"display_name\":\"OpenAI Organization\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"str\",\"list\":false},\"openai_proxy\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"password\":false,\"name\":\"openai_proxy\",\"display_name\":\"OpenAI Proxy\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"str\",\"list\":false},\"request_timeout\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"password\":false,\"name\":\"request_timeout\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"float\",\"list\":false},\"streaming\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"value\":false,\"password\":false,\"name\":\"streaming\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"bool\",\"list\":false},\"tags\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"password\":false,\"name\":\"tags\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"str\",\"list\":true},\"temperature\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"value\":0.7,\"password\":false,\"name\":\"temperature\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"float\",\"list\":false},\"tiktoken_model_name\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"password\":false,\"name\":\"tiktoken_model_name\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"str\",\"list\":false},\"verbose\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"value\":false,\"password\":false,\"name\":\"verbose\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"bool\",\"list\":false},\"_type\":\"ChatOpenAI\"},\"description\":\"`OpenAI` Chat large language models API.\",\"base_classes\":[\"BaseChatModel\",\"ChatOpenAI\",\"BaseLanguageModel\",\"BaseLLM\"],\"display_name\":\"ChatOpenAI\",\"custom_fields\":{},\"output_types\":[],\"documentation\":\"https://python.langchain.com/docs/modules/model_io/models/chat/integrations/openai\",\"beta\":false,\"error\":null},\"id\":\"ChatOpenAI-VPh47\"},\"selected\":false,\"positionAbsolute\":{\"x\":-328.5742193020408,\"y\":-420.1025929438987},\"dragging\":false},{\"width\":384,\"height\":338,\"id\":\"LLMChain-NgFyo\",\"type\":\"genericNode\",\"position\":{\"x\":225.3113389084088,\"y\":-193.3520019494289},\"data\":{\"type\":\"LLMChain\",\"node\":{\"template\":{\"code\":{\"dynamic\":true,\"required\":true,\"placeholder\":\"\",\"show\":false,\"multiline\":true,\"value\":\"from typing import Callable, Optional, Union\\n\\nfrom langchain.chains import LLMChain\\n\\nfrom langflow import CustomComponent\\nfrom langflow.field_typing import (\\n BaseLanguageModel,\\n BaseMemory,\\n BasePromptTemplate,\\n Chain,\\n)\\n\\n\\nclass LLMChainComponent(CustomComponent):\\n display_name = \\\"LLMChain\\\"\\n description = \\\"Chain to run queries against LLMs\\\"\\n\\n def build_config(self):\\n return {\\n \\\"prompt\\\": {\\\"display_name\\\": \\\"Prompt\\\"},\\n \\\"llm\\\": {\\\"display_name\\\": \\\"LLM\\\"},\\n \\\"memory\\\": {\\\"display_name\\\": \\\"Memory\\\"},\\n \\\"code\\\": {\\\"show\\\": False},\\n }\\n\\n def build(\\n self,\\n prompt: BasePromptTemplate,\\n llm: BaseLanguageModel,\\n memory: Optional[BaseMemory] = None,\\n ) -> Union[Chain, Callable]:\\n return LLMChain(prompt=prompt, llm=llm, memory=memory)\\n\",\"password\":false,\"name\":\"code\",\"advanced\":false,\"type\":\"code\",\"list\":false},\"_type\":\"CustomComponent\",\"llm\":{\"required\":true,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"password\":false,\"name\":\"llm\",\"display_name\":\"LLM\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"BaseLanguageModel\",\"list\":false},\"memory\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"password\":false,\"name\":\"memory\",\"display_name\":\"Memory\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"BaseMemory\",\"list\":false},\"prompt\":{\"required\":true,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"password\":false,\"name\":\"prompt\",\"display_name\":\"Prompt\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"BasePromptTemplate\",\"list\":false}},\"description\":\"Chain to run queries against LLMs\",\"base_classes\":[\"Chain\",\"Callable\"],\"display_name\":\"LLMChain\",\"custom_fields\":{\"llm\":null,\"memory\":null,\"prompt\":null},\"output_types\":[\"LLMChain\"],\"documentation\":\"\",\"beta\":true,\"error\":null},\"id\":\"LLMChain-NgFyo\"},\"selected\":false,\"positionAbsolute\":{\"x\":225.3113389084088,\"y\":-193.3520019494289},\"dragging\":false},{\"width\":384,\"height\":374,\"id\":\"PromptTemplate-oAFjh\",\"type\":\"genericNode\",\"position\":{\"x\":-342.62522294052764,\"y\":391.20629510686103},\"data\":{\"type\":\"PromptTemplate\",\"node\":{\"template\":{\"output_parser\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"password\":false,\"name\":\"output_parser\",\"advanced\":false,\"dynamic\":true,\"info\":\"\",\"type\":\"BaseOutputParser\",\"list\":false},\"input_types\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"password\":false,\"name\":\"input_types\",\"advanced\":false,\"dynamic\":true,\"info\":\"\",\"type\":\"dict\",\"list\":false},\"input_variables\":{\"required\":true,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"password\":false,\"name\":\"input_variables\",\"advanced\":false,\"dynamic\":true,\"info\":\"\",\"type\":\"str\",\"list\":true,\"value\":[\"links\"]},\"partial_variables\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"password\":false,\"name\":\"partial_variables\",\"advanced\":false,\"dynamic\":true,\"info\":\"\",\"type\":\"dict\",\"list\":false},\"template\":{\"required\":true,\"placeholder\":\"\",\"show\":true,\"multiline\":true,\"password\":false,\"name\":\"template\",\"advanced\":false,\"dynamic\":true,\"info\":\"\",\"type\":\"prompt\",\"list\":false,\"value\":\"Answer everything with links\\n{links}\"},\"template_format\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"value\":\"f-string\",\"password\":false,\"name\":\"template_format\",\"advanced\":false,\"dynamic\":true,\"info\":\"\",\"type\":\"str\",\"list\":false},\"validate_template\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"value\":false,\"password\":false,\"name\":\"validate_template\",\"advanced\":false,\"dynamic\":true,\"info\":\"\",\"type\":\"bool\",\"list\":false},\"_type\":\"PromptTemplate\",\"links\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":true,\"value\":\"\",\"password\":false,\"name\":\"links\",\"display_name\":\"links\",\"advanced\":false,\"input_types\":[\"Document\",\"BaseOutputParser\"],\"dynamic\":false,\"info\":\"\",\"type\":\"str\",\"list\":false}},\"description\":\"A prompt template for a language model.\",\"base_classes\":[\"BasePromptTemplate\",\"StringPromptTemplate\",\"PromptTemplate\"],\"name\":\"\",\"display_name\":\"PromptTemplate\",\"documentation\":\"https://python.langchain.com/docs/modules/model_io/prompts/prompt_templates/\",\"custom_fields\":{\"\":[\"links\"]},\"output_types\":[],\"full_path\":null,\"field_formatters\":{},\"beta\":false,\"error\":null},\"id\":\"PromptTemplate-oAFjh\"},\"selected\":true,\"dragging\":false,\"positionAbsolute\":{\"x\":-342.62522294052764,\"y\":391.20629510686103}}],\"edges\":[{\"source\":\"ChatOpenAI-VPh47\",\"sourceHandle\":\"{œbaseClassesœ:[œBaseChatModelœ,œChatOpenAIœ,œBaseLanguageModelœ,œBaseLLMœ],œdataTypeœ:œChatOpenAIœ,œidœ:œChatOpenAI-VPh47œ}\",\"target\":\"LLMChain-NgFyo\",\"targetHandle\":\"{œfieldNameœ:œllmœ,œidœ:œLLMChain-NgFyoœ,œinputTypesœ:null,œtypeœ:œBaseLanguageModelœ}\",\"data\":{\"targetHandle\":{\"fieldName\":\"llm\",\"id\":\"LLMChain-NgFyo\",\"inputTypes\":null,\"type\":\"BaseLanguageModel\"},\"sourceHandle\":{\"baseClasses\":[\"BaseChatModel\",\"ChatOpenAI\",\"BaseLanguageModel\",\"BaseLLM\"],\"dataType\":\"ChatOpenAI\",\"id\":\"ChatOpenAI-VPh47\"}},\"style\":{\"stroke\":\"#555\"},\"className\":\"stroke-foreground stroke-connection\",\"animated\":false,\"id\":\"reactflow__edge-ChatOpenAI-VPh47{œbaseClassesœ:[œBaseChatModelœ,œChatOpenAIœ,œBaseLanguageModelœ,œBaseLLMœ],œdataTypeœ:œChatOpenAIœ,œidœ:œChatOpenAI-VPh47œ}-LLMChain-NgFyo{œfieldNameœ:œllmœ,œidœ:œLLMChain-NgFyoœ,œinputTypesœ:null,œtypeœ:œBaseLanguageModelœ}\"},{\"source\":\"PromptTemplate-oAFjh\",\"sourceHandle\":\"{œbaseClassesœ:[œBasePromptTemplateœ,œStringPromptTemplateœ,œPromptTemplateœ],œdataTypeœ:œPromptTemplateœ,œidœ:œPromptTemplate-oAFjhœ}\",\"target\":\"LLMChain-NgFyo\",\"targetHandle\":\"{œfieldNameœ:œpromptœ,œidœ:œLLMChain-NgFyoœ,œinputTypesœ:null,œtypeœ:œBasePromptTemplateœ}\",\"data\":{\"targetHandle\":{\"fieldName\":\"prompt\",\"id\":\"LLMChain-NgFyo\",\"inputTypes\":null,\"type\":\"BasePromptTemplate\"},\"sourceHandle\":{\"baseClasses\":[\"BasePromptTemplate\",\"StringPromptTemplate\",\"PromptTemplate\"],\"dataType\":\"PromptTemplate\",\"id\":\"PromptTemplate-oAFjh\"}},\"style\":{\"stroke\":\"#555\"},\"className\":\"stroke-foreground stroke-connection\",\"animated\":false,\"id\":\"reactflow__edge-PromptTemplate-oAFjh{œbaseClassesœ:[œBasePromptTemplateœ,œStringPromptTemplateœ,œPromptTemplateœ],œdataTypeœ:œPromptTemplateœ,œidœ:œPromptTemplate-oAFjhœ}-LLMChain-NgFyo{œfieldNameœ:œpromptœ,œidœ:œLLMChain-NgFyoœ,œinputTypesœ:null,œtypeœ:œBasePromptTemplateœ}\"}],\"viewport\":{\"x\":338.6546182690814,\"y\":53.026340800283265,\"zoom\":0.7169776240079143}},\"is_component\":false,\"updated_at\":\"2023-12-04T22:53:25.148460\",\"folder\":null,\"id\":\"a794fc48-5e9b-42a3-924f-7fe610500035\",\"user_id\":\"d253bfba-6368-44dc-85f7-0d6da9e45968\"},{\"name\":\"(D) Basic Chat (1) (4)\",\"description\":\"Simplest possible chat model\",\"data\":{\"nodes\":[{\"width\":384,\"height\":626,\"id\":\"ChatOpenAI-fBcfh\",\"type\":\"genericNode\",\"position\":{\"x\":228.87326389541306,\"y\":465.8628482073749},\"data\":{\"type\":\"ChatOpenAI\",\"node\":{\"template\":{\"callbacks\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"password\":false,\"name\":\"callbacks\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"langchain.callbacks.base.BaseCallbackHandler\",\"list\":true},\"cache\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"password\":false,\"name\":\"cache\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"bool\",\"list\":false},\"client\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"password\":false,\"name\":\"client\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"Any\",\"list\":false},\"max_retries\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"value\":6,\"password\":false,\"name\":\"max_retries\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"int\",\"list\":false},\"max_tokens\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"password\":true,\"name\":\"max_tokens\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"int\",\"list\":false},\"metadata\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"password\":false,\"name\":\"metadata\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"dict\",\"list\":false},\"model_kwargs\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"password\":false,\"name\":\"model_kwargs\",\"advanced\":true,\"dynamic\":false,\"info\":\"\",\"type\":\"dict\",\"list\":false},\"model_name\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"value\":\"gpt-3.5-turbo\",\"password\":false,\"options\":[\"gpt-3.5-turbo-0613\",\"gpt-3.5-turbo\",\"gpt-3.5-turbo-16k-0613\",\"gpt-3.5-turbo-16k\",\"gpt-4-0613\",\"gpt-4-32k-0613\",\"gpt-4\",\"gpt-4-32k\"],\"name\":\"model_name\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"str\",\"list\":true},\"n\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"value\":1,\"password\":false,\"name\":\"n\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"int\",\"list\":false},\"openai_api_base\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"password\":false,\"name\":\"openai_api_base\",\"display_name\":\"OpenAI API Base\",\"advanced\":false,\"dynamic\":false,\"info\":\"\\nThe base URL of the OpenAI API. Defaults to https://api.openai.com/v1.\\n\\nYou can change this to use other APIs like JinaChat, LocalAI and Prem.\\n\",\"type\":\"str\",\"list\":false},\"openai_api_key\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"value\":\"sk-...\",\"password\":true,\"name\":\"openai_api_key\",\"display_name\":\"OpenAI API Key\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"str\",\"list\":false},\"openai_organization\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"password\":false,\"name\":\"openai_organization\",\"display_name\":\"OpenAI Organization\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"str\",\"list\":false},\"openai_proxy\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"password\":false,\"name\":\"openai_proxy\",\"display_name\":\"OpenAI Proxy\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"str\",\"list\":false},\"request_timeout\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"password\":false,\"name\":\"request_timeout\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"float\",\"list\":false,\"value\":60},\"streaming\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"value\":false,\"password\":false,\"name\":\"streaming\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"bool\",\"list\":false},\"tags\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"password\":false,\"name\":\"tags\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"str\",\"list\":true},\"temperature\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"value\":0.7,\"password\":false,\"name\":\"temperature\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"float\",\"list\":false},\"tiktoken_model_name\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"password\":false,\"name\":\"tiktoken_model_name\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"str\",\"list\":false},\"verbose\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"value\":false,\"password\":false,\"name\":\"verbose\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"bool\",\"list\":false},\"_type\":\"ChatOpenAI\"},\"description\":\"`OpenAI` Chat large language models API.\",\"base_classes\":[\"BaseChatModel\",\"BaseLanguageModel\",\"ChatOpenAI\",\"BaseLLM\"],\"display_name\":\"ChatOpenAI\",\"documentation\":\"https://python.langchain.com/docs/modules/model_io/models/chat/integrations/openai\"},\"id\":\"ChatOpenAI-fBcfh\",\"value\":null},\"selected\":false,\"dragging\":false,\"positionAbsolute\":{\"x\":228.87326389541306,\"y\":465.8628482073749}},{\"width\":384,\"height\":310,\"id\":\"ConversationChain-bVNex\",\"type\":\"genericNode\",\"position\":{\"x\":806,\"y\":554},\"data\":{\"type\":\"ConversationChain\",\"node\":{\"template\":{\"callbacks\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"password\":false,\"name\":\"callbacks\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"langchain.callbacks.base.BaseCallbackHandler\",\"list\":true},\"llm\":{\"required\":true,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"password\":false,\"name\":\"llm\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"BaseLanguageModel\",\"list\":false},\"memory\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"password\":false,\"name\":\"memory\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"BaseMemory\",\"list\":false},\"output_parser\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"value\":{\"_type\":\"default\"},\"password\":false,\"name\":\"output_parser\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"BaseLLMOutputParser\",\"list\":false},\"prompt\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"value\":{\"input_variables\":[\"history\",\"input\"],\"output_parser\":null,\"partial_variables\":{},\"template\":\"The following is a friendly conversation between a human and an AI. The AI is talkative and provides lots of specific details from its context. If the AI does not know the answer to a question, it truthfully says it does not know.\\n\\nCurrent conversation:\\n{history}\\nHuman: {input}\\nAI:\",\"template_format\":\"f-string\",\"validate_template\":true,\"_type\":\"prompt\"},\"password\":false,\"name\":\"prompt\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"BasePromptTemplate\",\"list\":false},\"input_key\":{\"required\":true,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"value\":\"input\",\"password\":false,\"name\":\"input_key\",\"advanced\":true,\"dynamic\":false,\"info\":\"\",\"type\":\"str\",\"list\":false},\"llm_kwargs\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"password\":false,\"name\":\"llm_kwargs\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"dict\",\"list\":false},\"metadata\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"password\":false,\"name\":\"metadata\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"dict\",\"list\":false},\"output_key\":{\"required\":true,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"value\":\"response\",\"password\":false,\"name\":\"output_key\",\"advanced\":true,\"dynamic\":false,\"info\":\"\",\"type\":\"str\",\"list\":false},\"return_final_only\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"value\":true,\"password\":false,\"name\":\"return_final_only\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"bool\",\"list\":false},\"tags\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"password\":false,\"name\":\"tags\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"str\",\"list\":true},\"verbose\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"password\":false,\"name\":\"verbose\",\"advanced\":true,\"dynamic\":false,\"info\":\"\",\"type\":\"bool\",\"list\":false},\"_type\":\"ConversationChain\"},\"description\":\"Chain to have a conversation and load context from memory.\",\"base_classes\":[\"ConversationChain\",\"Chain\",\"LLMChain\",\"function\"],\"display_name\":\"ConversationChain\",\"documentation\":\"\"},\"id\":\"ConversationChain-bVNex\",\"value\":null},\"selected\":false,\"dragging\":false,\"positionAbsolute\":{\"x\":806,\"y\":554}}],\"edges\":[{\"source\":\"ChatOpenAI-fBcfh\",\"sourceHandle\":\"{œbaseClassesœ:[œBaseChatModelœ,œBaseLanguageModelœ,œChatOpenAIœ,œBaseLLMœ],œdataTypeœ:œChatOpenAIœ,œidœ:œChatOpenAI-fBcfhœ}\",\"target\":\"ConversationChain-bVNex\",\"targetHandle\":\"{œfieldNameœ:œllmœ,œidœ:œConversationChain-bVNexœ,œinputTypesœ:null,œtypeœ:œBaseLanguageModelœ}\",\"className\":\"stroke-gray-900 stroke-connection\",\"id\":\"reactflow__edge-ChatOpenAI-fBcfh{œbaseClassesœ:[œBaseChatModelœ,œBaseLanguageModelœ,œChatOpenAIœ,œBaseLLMœ],œdataTypeœ:œChatOpenAIœ,œidœ:œChatOpenAI-fBcfhœ}-ConversationChain-bVNex{œfieldNameœ:œllmœ,œidœ:œConversationChain-bVNexœ,œinputTypesœ:null,œtypeœ:œBaseLanguageModelœ}\",\"data\":{\"sourceHandle\":{\"baseClasses\":[\"BaseChatModel\",\"BaseLanguageModel\",\"ChatOpenAI\",\"BaseLLM\"],\"dataType\":\"ChatOpenAI\",\"id\":\"ChatOpenAI-fBcfh\"},\"targetHandle\":{\"fieldName\":\"llm\",\"id\":\"ConversationChain-bVNex\",\"inputTypes\":null,\"type\":\"BaseLanguageModel\"}},\"style\":{\"stroke\":\"#555\"},\"animated\":false}],\"viewport\":{\"x\":-118.21416568593895,\"y\":-240.64815770363373,\"zoom\":0.7642485855675408}},\"is_component\":false,\"updated_at\":\"2023-12-04T22:57:55.879806\",\"folder\":null,\"id\":\"bddebeea-b80a-4b28-8895-c4425687dcce\",\"user_id\":\"d253bfba-6368-44dc-85f7-0d6da9e45968\"},{\"name\":\"Directory Loader\",\"description\":\"Generic File Loader\",\"data\":{\"edges\":[],\"nodes\":[{\"data\":{\"type\":\"CustomComponent\",\"node\":{\"template\":{\"code\":{\"dynamic\":true,\"required\":true,\"placeholder\":\"\",\"show\":true,\"multiline\":true,\"value\":\"import os\\n\\nfrom langchain.schema import Document\\nfrom langflow import CustomComponent\\nimport glob\\n\\nclass DirectoryLoaderComponent(CustomComponent):\\n display_name: str = \\\"Directory Loader\\\"\\n description: str = \\\"Generic File Loader\\\"\\n beta = True\\n loaders_info = [\\n {\\n \\\"loader\\\": \\\"AirbyteJSONLoader\\\",\\n \\\"name\\\": \\\"Airbyte JSON (.jsonl)\\\",\\n \\\"import\\\": \\\"langchain.document_loaders.AirbyteJSONLoader\\\",\\n \\\"defaultFor\\\": [\\\"jsonl\\\"],\\n \\\"allowdTypes\\\": [\\\"jsonl\\\"],\\n },\\n {\\n \\\"loader\\\": \\\"JSONLoader\\\",\\n \\\"name\\\": \\\"JSON (.json)\\\",\\n \\\"import\\\": \\\"langchain.document_loaders.JSONLoader\\\",\\n \\\"defaultFor\\\": [\\\"json\\\"],\\n \\\"allowdTypes\\\": [\\\"json\\\"],\\n \\\"kwargs\\\": {\\\"jq_schema\\\": \\\".\\\", \\\"text_content\\\": False}\\n },\\n {\\n \\\"loader\\\": \\\"BSHTMLLoader\\\",\\n \\\"name\\\": \\\"BeautifulSoup4 HTML (.html, .htm)\\\",\\n \\\"import\\\": \\\"langchain.document_loaders.BSHTMLLoader\\\",\\n \\\"allowdTypes\\\": [\\\"html\\\", \\\"htm\\\"],\\n },\\n {\\n \\\"loader\\\": \\\"CSVLoader\\\",\\n \\\"name\\\": \\\"CSV (.csv)\\\",\\n \\\"import\\\": \\\"langchain.document_loaders.CSVLoader\\\",\\n \\\"defaultFor\\\": [\\\"csv\\\"],\\n \\\"allowdTypes\\\": [\\\"csv\\\"],\\n },\\n {\\n \\\"loader\\\": \\\"CoNLLULoader\\\",\\n \\\"name\\\": \\\"CoNLL-U (.conllu)\\\",\\n \\\"import\\\": \\\"langchain.document_loaders.CoNLLULoader\\\",\\n \\\"defaultFor\\\": [\\\"conllu\\\"],\\n \\\"allowdTypes\\\": [\\\"conllu\\\"],\\n },\\n {\\n \\\"loader\\\": \\\"EverNoteLoader\\\",\\n \\\"name\\\": \\\"EverNote (.enex)\\\",\\n \\\"import\\\": \\\"langchain.document_loaders.EverNoteLoader\\\",\\n \\\"defaultFor\\\": [\\\"enex\\\"],\\n \\\"allowdTypes\\\": [\\\"enex\\\"],\\n },\\n {\\n \\\"loader\\\": \\\"FacebookChatLoader\\\",\\n \\\"name\\\": \\\"Facebook Chat (.json)\\\",\\n \\\"import\\\": \\\"langchain.document_loaders.FacebookChatLoader\\\",\\n \\\"allowdTypes\\\": [\\\"json\\\"],\\n },\\n {\\n \\\"loader\\\": \\\"OutlookMessageLoader\\\",\\n \\\"name\\\": \\\"Outlook Message (.msg)\\\",\\n \\\"import\\\": \\\"langchain.document_loaders.OutlookMessageLoader\\\",\\n \\\"defaultFor\\\": [\\\"msg\\\"],\\n \\\"allowdTypes\\\": [\\\"msg\\\"],\\n },\\n {\\n \\\"loader\\\": \\\"PyPDFLoader\\\",\\n \\\"name\\\": \\\"PyPDF (.pdf)\\\",\\n \\\"import\\\": \\\"langchain.document_loaders.PyPDFLoader\\\",\\n \\\"defaultFor\\\": [\\\"pdf\\\"],\\n \\\"allowdTypes\\\": [\\\"pdf\\\"],\\n },\\n {\\n \\\"loader\\\": \\\"STRLoader\\\",\\n \\\"name\\\": \\\"Subtitle (.str)\\\",\\n \\\"import\\\": \\\"langchain.document_loaders.STRLoader\\\",\\n \\\"defaultFor\\\": [\\\"str\\\"],\\n \\\"allowdTypes\\\": [\\\"str\\\"],\\n },\\n {\\n \\\"loader\\\": \\\"TextLoader\\\",\\n \\\"name\\\": \\\"Text (.txt)\\\",\\n \\\"import\\\": \\\"langchain.document_loaders.TextLoader\\\",\\n \\\"defaultFor\\\": [\\\"txt\\\"],\\n \\\"allowdTypes\\\": [\\\"txt\\\"],\\n },\\n {\\n \\\"loader\\\": \\\"UnstructuredEmailLoader\\\",\\n \\\"name\\\": \\\"Unstructured Email (.eml)\\\",\\n \\\"import\\\": \\\"langchain.document_loaders.UnstructuredEmailLoader\\\",\\n \\\"defaultFor\\\": [\\\"eml\\\"],\\n \\\"allowdTypes\\\": [\\\"eml\\\"],\\n },\\n {\\n \\\"loader\\\": \\\"UnstructuredHTMLLoader\\\",\\n \\\"name\\\": \\\"Unstructured HTML (.html, .htm)\\\",\\n \\\"import\\\": \\\"langchain.document_loaders.UnstructuredHTMLLoader\\\",\\n \\\"defaultFor\\\": [\\\"html\\\", \\\"htm\\\"],\\n \\\"allowdTypes\\\": [\\\"html\\\", \\\"htm\\\"],\\n },\\n {\\n \\\"loader\\\": \\\"UnstructuredMarkdownLoader\\\",\\n \\\"name\\\": \\\"Unstructured Markdown (.md)\\\",\\n \\\"import\\\": \\\"langchain.document_loaders.UnstructuredMarkdownLoader\\\",\\n \\\"defaultFor\\\": [\\\"md\\\"],\\n \\\"allowdTypes\\\": [\\\"md\\\"],\\n },\\n {\\n \\\"loader\\\": \\\"UnstructuredPowerPointLoader\\\",\\n \\\"name\\\": \\\"Unstructured PowerPoint (.pptx)\\\",\\n \\\"import\\\": \\\"langchain.document_loaders.UnstructuredPowerPointLoader\\\",\\n \\\"defaultFor\\\": [\\\"pptx\\\"],\\n \\\"allowdTypes\\\": [\\\"pptx\\\"],\\n },\\n {\\n \\\"loader\\\": \\\"UnstructuredWordLoader\\\",\\n \\\"name\\\": \\\"Unstructured Word (.docx)\\\",\\n \\\"import\\\": \\\"langchain.document_loaders.UnstructuredWordLoader\\\",\\n \\\"defaultFor\\\": [\\\"docx\\\"],\\n \\\"allowdTypes\\\": [\\\"docx\\\"],\\n },\\n]\\n\\n\\n def build_config(self):\\n loader_options = [\\\"Automatic\\\"] + [\\n loader_info[\\\"name\\\"] for loader_info in self.loaders_info\\n ]\\n\\n file_types = []\\n suffixes = []\\n\\n for loader_info in self.loaders_info:\\n if \\\"allowedTypes\\\" in loader_info:\\n file_types.extend(loader_info[\\\"allowedTypes\\\"])\\n suffixes.extend([f\\\".{ext}\\\" for ext in loader_info[\\\"allowedTypes\\\"]])\\n\\n return {\\n \\\"directory_path\\\": {\\n \\\"display_name\\\": \\\"Directory Path\\\",\\n \\\"required\\\": True,\\n },\\n \\\"loader\\\": {\\n \\\"display_name\\\": \\\"Loader\\\",\\n \\\"is_list\\\": True,\\n \\\"required\\\": True,\\n \\\"options\\\": loader_options,\\n \\\"value\\\": \\\"Automatic\\\",\\n },\\n }\\n\\n def build(self, directory_path: str, loader: str) -> Document:\\n # Verifique se o diretório existe\\n if not os.path.exists(directory_path):\\n raise ValueError(f\\\"Directory not found: {directory_path}\\\")\\n\\n files = glob.glob(directory_path + \\\"/*.*\\\")\\n\\n\\n loader_info = None\\n if loader == \\\"Automatic\\\":\\n for file in files:\\n file_type = file.split(\\\".\\\")[-1]\\n\\n\\n for info in self.loaders_info:\\n if \\\"defaultFor\\\" in info:\\n if file_type in info[\\\"defaultFor\\\"]:\\n loader_info = info\\n break\\n if loader_info:\\n break\\n\\n if not loader_info:\\n raise ValueError(\\n \\\"No default loader found for any file in the directory\\\"\\n )\\n\\n else:\\n for info in self.loaders_info:\\n if info[\\\"name\\\"] == loader:\\n loader_info = info\\n break\\n\\n if not loader_info:\\n raise ValueError(f\\\"Loader {loader} not found in the loader info list\\\")\\n\\n loader_import = loader_info[\\\"import\\\"]\\n module_name, class_name = loader_import.rsplit(\\\".\\\", 1)\\n\\n try:\\n # Importe o loader dinamicamente\\n loader_module = __import__(module_name, fromlist=[class_name])\\n loader_instance = getattr(loader_module, class_name)\\n except ImportError as e:\\n raise ValueError(\\n f\\\"Loader {loader} could not be imported\\\\nLoader info:\\\\n{loader_info}\\\"\\n ) from e\\n\\n results = []\\n for file in files:\\n file_path = os.path.join(directory_path, file)\\n kwargs = loader_info.get(\\\"kwargs\\\", {})\\n result = loader_instance(file_path=file_path, **kwargs).load()\\n results.append(result)\\n self.status = results\\n return results\",\"password\":false,\"name\":\"code\",\"advanced\":false,\"type\":\"code\",\"list\":false},\"_type\":\"CustomComponent\",\"directory_path\":{\"required\":true,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"password\":false,\"name\":\"directory_path\",\"display_name\":\"Directory Path\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"str\",\"list\":false,\"value\":\"/Users/ogabrielluiz/Projects/langflow2/docs\"},\"loader\":{\"required\":true,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"value\":\"Automatic\",\"password\":false,\"options\":[\"Automatic\",\"Airbyte JSON (.jsonl)\",\"JSON (.json)\",\"BeautifulSoup4 HTML (.html, .htm)\",\"CSV (.csv)\",\"CoNLL-U (.conllu)\",\"EverNote (.enex)\",\"Facebook Chat (.json)\",\"Outlook Message (.msg)\",\"PyPDF (.pdf)\",\"Subtitle (.str)\",\"Text (.txt)\",\"Unstructured Email (.eml)\",\"Unstructured HTML (.html, .htm)\",\"Unstructured Markdown (.md)\",\"Unstructured PowerPoint (.pptx)\",\"Unstructured Word (.docx)\"],\"name\":\"loader\",\"display_name\":\"Loader\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"str\",\"list\":true}},\"description\":\"Generic File Loader\",\"base_classes\":[\"Document\"],\"display_name\":\"Directory Loader\",\"custom_fields\":{\"directory_path\":null,\"loader\":null},\"output_types\":[\"Document\"],\"documentation\":\"\",\"beta\":true,\"error\":null,\"official\":false},\"id\":\"CustomComponent-Ip6tG\"},\"id\":\"CustomComponent-Ip6tG\",\"position\":{\"x\":0,\"y\":0},\"type\":\"genericNode\"}],\"viewport\":{\"x\":1,\"y\":1,\"zoom\":1}},\"is_component\":true,\"updated_at\":\"2023-12-04T22:58:38.570303\",\"folder\":null,\"id\":\"5fe4debc-b6a7-45d4-a694-c02d8aa93b08\",\"user_id\":\"d253bfba-6368-44dc-85f7-0d6da9e45968\"},{\"name\":\"Whisper Transcriber\",\"description\":\"Converts audio to text using OpenAI's Whisper.\",\"data\":{\"edges\":[],\"nodes\":[{\"data\":{\"type\":\"CustomComponent\",\"node\":{\"template\":{\"code\":{\"dynamic\":true,\"required\":true,\"placeholder\":\"\",\"show\":true,\"multiline\":true,\"value\":\"from langflow import CustomComponent\\nfrom typing import Optional, List, Dict, Union\\nfrom langflow.field_typing import (\\n AgentExecutor,\\n BaseChatMemory,\\n BaseLanguageModel,\\n BaseLLM,\\n BaseLoader,\\n BaseMemory,\\n BaseOutputParser,\\n BasePromptTemplate,\\n BaseRetriever,\\n Callable,\\n Chain,\\n ChatPromptTemplate,\\n Data,\\n Document,\\n Embeddings,\\n NestedDict,\\n Object,\\n PromptTemplate,\\n TextSplitter,\\n Tool,\\n VectorStore,\\n)\\n\\nfrom openai import OpenAI\\nclass Component(CustomComponent):\\n display_name: str = \\\"Whisper Transcriber\\\"\\n description: str = \\\"Converts audio to text using OpenAI's Whisper.\\\"\\n\\n def build_config(self):\\n return {\\\"audio\\\":{\\\"field_type\\\":\\\"file\\\",\\\"suffixes\\\":[\\\".mp3\\\", \\\".mp4\\\", \\\".m4a\\\"]},\\\"OpenAIKey\\\":{\\\"field_type\\\":\\\"str\\\",\\\"password\\\":True}}\\n\\n def build(self, audio:str, OpenAIKey:str) -> str:\\n \\n # TODO: if output path, persist & load it instead\\n \\n client = OpenAI(api_key=OpenAIKey)\\n \\n audio_file= open(audio, \\\"rb\\\")\\n transcript = client.audio.transcriptions.create(\\n model=\\\"whisper-1\\\", \\n file=audio_file,\\n response_format=\\\"text\\\"\\n )\\n \\n \\n self.status = transcript\\n return transcript\\n\\n\",\"password\":false,\"name\":\"code\",\"advanced\":false,\"type\":\"code\",\"list\":false},\"_type\":\"CustomComponent\",\"OpenAIKey\":{\"required\":true,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"password\":true,\"name\":\"OpenAIKey\",\"display_name\":\"OpenAIKey\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"str\",\"list\":false,\"value\":\"\"},\"audio\":{\"required\":true,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"suffixes\":[\".mp3\",\".mp4\",\".m4a\"],\"password\":false,\"name\":\"audio\",\"display_name\":\"audio\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"file\",\"list\":false,\"file_path\":\"/Users/rodrigonader/Library/Caches/langflow/19b3e1c9-90bf-405f-898a-e982f47adf76/a3308ce7e9b10088fcd985aabb6d17b012c6b6e81ff8806356574474c9d10229.m4a\",\"value\":\"Audio Recording 2023-11-29 at 12.12.04.m4a\"}},\"description\":\"Converts audio to text using OpenAI's Whisper.\",\"base_classes\":[\"str\"],\"display_name\":\"Whisper Transcriber\",\"custom_fields\":{\"OpenAIKey\":null,\"audio\":null},\"output_types\":[\"str\"],\"documentation\":\"\",\"beta\":true,\"error\":null,\"official\":false},\"id\":\"CustomComponent-GJRrs\"},\"id\":\"CustomComponent-GJRrs\",\"position\":{\"x\":0,\"y\":0},\"type\":\"genericNode\"}],\"viewport\":{\"x\":1,\"y\":1,\"zoom\":1}},\"is_component\":true,\"updated_at\":\"2023-12-04T22:58:39.710502\",\"folder\":null,\"id\":\"bd9e911d-46bd-429f-aa75-dd740430695e\",\"user_id\":\"d253bfba-6368-44dc-85f7-0d6da9e45968\"},{\"name\":\"Youtube Conversation\",\"description\":\"Craft Meaningful Interactions, Generate Value.\",\"data\":{\"nodes\":[{\"width\":384,\"height\":589,\"id\":\"CustomComponent-h0NSI\",\"type\":\"genericNode\",\"position\":{\"x\":714.9531293402755,\"y\":0.4994374160582993},\"data\":{\"type\":\"CustomComponent\",\"node\":{\"template\":{\"code\":{\"dynamic\":true,\"required\":true,\"placeholder\":\"\",\"show\":true,\"multiline\":true,\"value\":\"import requests\\nfrom langflow import CustomComponent\\nfrom langchain.llms.base import BaseLLM\\nfrom langchain.schema import Document\\nfrom langchain.document_loaders import YoutubeLoader\\n\\n# Example usage:\\n\\nclass YourComponent(CustomComponent):\\n display_name: str = \\\"YouTube Transcript\\\"\\n description: str = \\\"YouTube transcripts refer to the written text versions of the spoken content in a video uploaded to the YouTube platform.\\\"\\n\\n def build_config(self):\\n return {\\\"url\\\": {\\\"multiline\\\": True, \\\"required\\\": True}}\\n\\n def build(self, url: str, llm: BaseLLM, dependencies: Document, language: str = \\\"en\\\") -> Document:\\n dependencies\\n response = requests.get(url)\\n loader = YoutubeLoader.from_youtube_url(url, add_video_info=True, language=[language])\\n result = loader.load()\\n self.repr_value = str(result)\\n return result\",\"password\":false,\"name\":\"code\",\"advanced\":false,\"type\":\"code\",\"list\":false},\"_type\":\"CustomComponent\",\"dependencies\":{\"required\":true,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"password\":false,\"name\":\"dependencies\",\"display_name\":\"dependencies\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"Document\",\"list\":false},\"language\":{\"required\":true,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"value\":\"en\",\"password\":false,\"name\":\"language\",\"display_name\":\"language\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"str\",\"list\":false},\"llm\":{\"required\":true,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"password\":false,\"name\":\"llm\",\"display_name\":\"llm\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"BaseLLM\",\"list\":false},\"url\":{\"required\":true,\"placeholder\":\"\",\"show\":true,\"multiline\":true,\"password\":false,\"name\":\"url\",\"display_name\":\"url\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"str\",\"list\":false}},\"description\":\"YouTube transcripts refer to the written text versions of the spoken content in a video uploaded to the YouTube platform.\",\"base_classes\":[\"Document\"],\"display_name\":\"YouTube Transcript\",\"custom_fields\":{\"dependencies\":null,\"language\":null,\"llm\":null,\"url\":null},\"output_types\":[\"Document\"],\"documentation\":\"\",\"beta\":true,\"error\":null},\"id\":\"CustomComponent-h0NSI\"},\"selected\":false,\"dragging\":false,\"positionAbsolute\":{\"x\":714.9531293402755,\"y\":0.4994374160582993}},{\"width\":384,\"height\":629,\"id\":\"ChatOpenAI-q61Y2\",\"type\":\"genericNode\",\"position\":{\"x\":18,\"y\":625.5521045590924},\"data\":{\"type\":\"ChatOpenAI\",\"node\":{\"template\":{\"callbacks\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"password\":false,\"name\":\"callbacks\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"langchain.callbacks.base.BaseCallbackHandler\",\"list\":true},\"cache\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"password\":false,\"name\":\"cache\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"bool\",\"list\":false},\"client\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"password\":false,\"name\":\"client\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"Any\",\"list\":false},\"max_retries\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"value\":6,\"password\":false,\"name\":\"max_retries\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"int\",\"list\":false},\"max_tokens\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"password\":true,\"name\":\"max_tokens\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"int\",\"list\":false,\"value\":\"\"},\"metadata\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"password\":false,\"name\":\"metadata\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"dict\",\"list\":false},\"model_kwargs\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"password\":false,\"name\":\"model_kwargs\",\"advanced\":true,\"dynamic\":false,\"info\":\"\",\"type\":\"dict\",\"list\":false},\"model_name\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"value\":\"gpt-3.5-turbo-16k\",\"password\":false,\"options\":[\"gpt-3.5-turbo-0613\",\"gpt-3.5-turbo\",\"gpt-3.5-turbo-16k-0613\",\"gpt-3.5-turbo-16k\",\"gpt-4-0613\",\"gpt-4-32k-0613\",\"gpt-4\",\"gpt-4-32k\"],\"name\":\"model_name\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"str\",\"list\":true},\"n\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"value\":1,\"password\":false,\"name\":\"n\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"int\",\"list\":false},\"openai_api_base\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"password\":false,\"name\":\"openai_api_base\",\"display_name\":\"OpenAI API Base\",\"advanced\":false,\"dynamic\":false,\"info\":\"\\nThe base URL of the OpenAI API. Defaults to https://api.openai.com/v1.\\n\\nYou can change this to use other APIs like JinaChat, LocalAI and Prem.\\n\",\"type\":\"str\",\"list\":false},\"openai_api_key\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"value\":\"\",\"password\":true,\"name\":\"openai_api_key\",\"display_name\":\"OpenAI API Key\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"str\",\"list\":false},\"openai_organization\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"password\":false,\"name\":\"openai_organization\",\"display_name\":\"OpenAI Organization\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"str\",\"list\":false},\"openai_proxy\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"password\":false,\"name\":\"openai_proxy\",\"display_name\":\"OpenAI Proxy\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"str\",\"list\":false},\"request_timeout\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"password\":false,\"name\":\"request_timeout\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"float\",\"list\":false},\"streaming\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"value\":false,\"password\":false,\"name\":\"streaming\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"bool\",\"list\":false},\"tags\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"password\":false,\"name\":\"tags\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"str\",\"list\":true},\"temperature\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"value\":0.7,\"password\":false,\"name\":\"temperature\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"float\",\"list\":false},\"tiktoken_model_name\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"password\":false,\"name\":\"tiktoken_model_name\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"str\",\"list\":false},\"verbose\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"value\":false,\"password\":false,\"name\":\"verbose\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"bool\",\"list\":false},\"_type\":\"ChatOpenAI\"},\"description\":\"`OpenAI` Chat large language models API.\",\"base_classes\":[\"ChatOpenAI\",\"BaseChatModel\",\"BaseLanguageModel\",\"BaseLLM\"],\"display_name\":\"ChatOpenAI\",\"custom_fields\":{},\"output_types\":[],\"documentation\":\"https://python.langchain.com/docs/modules/model_io/models/chat/integrations/openai\",\"beta\":false,\"error\":null},\"id\":\"ChatOpenAI-q61Y2\"},\"selected\":false,\"positionAbsolute\":{\"x\":18,\"y\":625.5521045590924},\"dragging\":false},{\"width\":384,\"height\":539,\"id\":\"Chroma-gVhy7\",\"type\":\"genericNode\",\"position\":{\"x\":2110.365967257855,\"y\":805.0149521868784},\"data\":{\"type\":\"Chroma\",\"node\":{\"template\":{\"client\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"password\":false,\"name\":\"client\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"chromadb.Client\",\"list\":false},\"client_settings\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"password\":false,\"name\":\"client_settings\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"chromadb.config.Setting\",\"list\":true},\"documents\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"password\":false,\"name\":\"documents\",\"display_name\":\"Documents\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"Document\",\"list\":true},\"embedding\":{\"required\":true,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"password\":false,\"name\":\"embedding\",\"display_name\":\"Embedding\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"Embeddings\",\"list\":false},\"chroma_server_cors_allow_origins\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"password\":false,\"name\":\"chroma_server_cors_allow_origins\",\"display_name\":\"Chroma Server CORS Allow Origins\",\"advanced\":true,\"dynamic\":false,\"info\":\"\",\"type\":\"str\",\"list\":true},\"chroma_server_grpc_port\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"password\":false,\"name\":\"chroma_server_grpc_port\",\"display_name\":\"Chroma Server GRPC Port\",\"advanced\":true,\"dynamic\":false,\"info\":\"\",\"type\":\"str\",\"list\":false},\"chroma_server_host\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"password\":false,\"name\":\"chroma_server_host\",\"display_name\":\"Chroma Server Host\",\"advanced\":true,\"dynamic\":false,\"info\":\"\",\"type\":\"str\",\"list\":false},\"chroma_server_http_port\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"password\":false,\"name\":\"chroma_server_http_port\",\"display_name\":\"Chroma Server HTTP Port\",\"advanced\":true,\"dynamic\":false,\"info\":\"\",\"type\":\"str\",\"list\":false},\"chroma_server_ssl_enabled\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"value\":false,\"password\":false,\"name\":\"chroma_server_ssl_enabled\",\"display_name\":\"Chroma Server SSL Enabled\",\"advanced\":true,\"dynamic\":false,\"info\":\"\",\"type\":\"bool\",\"list\":false},\"collection_metadata\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"password\":false,\"name\":\"collection_metadata\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"dict\",\"list\":false},\"collection_name\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"value\":\"langchain\",\"password\":false,\"name\":\"collection_name\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"str\",\"list\":false},\"ids\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"password\":false,\"name\":\"ids\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"str\",\"list\":true},\"metadatas\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"password\":false,\"name\":\"metadatas\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"dict\",\"list\":true},\"persist\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"value\":false,\"password\":false,\"name\":\"persist\",\"display_name\":\"Persist\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"bool\",\"list\":false},\"persist_directory\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"password\":false,\"name\":\"persist_directory\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"str\",\"list\":false},\"search_kwargs\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"value\":\"{}\",\"password\":false,\"name\":\"search_kwargs\",\"advanced\":true,\"dynamic\":false,\"info\":\"\",\"type\":\"NestedDict\",\"list\":false},\"_type\":\"Chroma\"},\"description\":\"Create a Chroma vectorstore from a raw documents.\",\"base_classes\":[\"VectorStore\",\"Chroma\",\"BaseRetriever\",\"VectorStoreRetriever\"],\"display_name\":\"Chroma\",\"custom_fields\":{},\"output_types\":[],\"documentation\":\"https://python.langchain.com/docs/modules/data_connection/vectorstores/integrations/chroma\",\"beta\":false,\"error\":null},\"id\":\"Chroma-gVhy7\"},\"selected\":false,\"positionAbsolute\":{\"x\":2110.365967257855,\"y\":805.0149521868784},\"dragging\":false},{\"width\":384,\"height\":501,\"id\":\"RecursiveCharacterTextSplitter-1eaOX\",\"type\":\"genericNode\",\"position\":{\"x\":1409.2872773444874,\"y\":19.45456141103284},\"data\":{\"type\":\"RecursiveCharacterTextSplitter\",\"node\":{\"template\":{\"code\":{\"dynamic\":true,\"required\":true,\"placeholder\":\"\",\"show\":false,\"multiline\":true,\"value\":\"from typing import Optional\\nfrom langflow import CustomComponent\\nfrom langchain.schema import Document\\nfrom langflow.utils.util import build_loader_repr_from_documents\\n\\n\\nclass RecursiveCharacterTextSplitterComponent(CustomComponent):\\n display_name: str = \\\"Recursive Character Text Splitter\\\"\\n description: str = \\\"Split text into chunks of a specified length.\\\"\\n documentation: str = \\\"https://docs.langflow.org/components/text-splitters#recursivecharactertextsplitter\\\"\\n\\n def build_config(self):\\n return {\\n \\\"documents\\\": {\\n \\\"display_name\\\": \\\"Documents\\\",\\n \\\"info\\\": \\\"The documents to split.\\\",\\n },\\n \\\"separators\\\": {\\n \\\"display_name\\\": \\\"Separators\\\",\\n \\\"info\\\": 'The characters to split on.\\\\nIf left empty defaults to [\\\"\\\\\\\\n\\\\\\\\n\\\", \\\"\\\\\\\\n\\\", \\\" \\\", \\\"\\\"].',\\n \\\"is_list\\\": True,\\n },\\n \\\"chunk_size\\\": {\\n \\\"display_name\\\": \\\"Chunk Size\\\",\\n \\\"info\\\": \\\"The maximum length of each chunk.\\\",\\n \\\"field_type\\\": \\\"int\\\",\\n \\\"value\\\": 1000,\\n },\\n \\\"chunk_overlap\\\": {\\n \\\"display_name\\\": \\\"Chunk Overlap\\\",\\n \\\"info\\\": \\\"The amount of overlap between chunks.\\\",\\n \\\"field_type\\\": \\\"int\\\",\\n \\\"value\\\": 200,\\n },\\n \\\"code\\\": {\\\"show\\\": False},\\n }\\n\\n def build(\\n self,\\n documents: list[Document],\\n separators: Optional[list[str]] = None,\\n chunk_size: Optional[int] = 1000,\\n chunk_overlap: Optional[int] = 200,\\n ) -> list[Document]:\\n \\\"\\\"\\\"\\n Split text into chunks of a specified length.\\n\\n Args:\\n separators (list[str]): The characters to split on.\\n chunk_size (int): The maximum length of each chunk.\\n chunk_overlap (int): The amount of overlap between chunks.\\n length_function (function): The function to use to calculate the length of the text.\\n\\n Returns:\\n list[str]: The chunks of text.\\n \\\"\\\"\\\"\\n from langchain.text_splitter import RecursiveCharacterTextSplitter\\n\\n if separators == \\\"\\\":\\n separators = None\\n elif separators:\\n # check if the separators list has escaped characters\\n # if there are escaped characters, unescape them\\n separators = [x.encode().decode(\\\"unicode-escape\\\") for x in separators]\\n\\n # Make sure chunk_size and chunk_overlap are ints\\n if isinstance(chunk_size, str):\\n chunk_size = int(chunk_size)\\n if isinstance(chunk_overlap, str):\\n chunk_overlap = int(chunk_overlap)\\n splitter = RecursiveCharacterTextSplitter(\\n separators=separators,\\n chunk_size=chunk_size,\\n chunk_overlap=chunk_overlap,\\n )\\n\\n docs = splitter.split_documents(documents)\\n self.repr_value = build_loader_repr_from_documents(docs)\\n return docs\\n\",\"password\":false,\"name\":\"code\",\"advanced\":false,\"type\":\"code\",\"list\":false},\"_type\":\"CustomComponent\",\"chunk_overlap\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"value\":\"50\",\"password\":false,\"name\":\"chunk_overlap\",\"display_name\":\"Chunk Overlap\",\"advanced\":false,\"dynamic\":false,\"info\":\"The amount of overlap between chunks.\",\"type\":\"int\",\"list\":false},\"chunk_size\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"value\":\"400\",\"password\":false,\"name\":\"chunk_size\",\"display_name\":\"Chunk Size\",\"advanced\":false,\"dynamic\":false,\"info\":\"The maximum length of each chunk.\",\"type\":\"int\",\"list\":false},\"documents\":{\"required\":true,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"password\":false,\"name\":\"documents\",\"display_name\":\"Documents\",\"advanced\":false,\"dynamic\":false,\"info\":\"The documents to split.\",\"type\":\"Document\",\"list\":true},\"separators\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"password\":false,\"name\":\"separators\",\"display_name\":\"Separators\",\"advanced\":false,\"dynamic\":false,\"info\":\"The characters to split on.\\nIf left empty defaults to [\\\"\\\\n\\\\n\\\", \\\"\\\\n\\\", \\\" \\\", \\\"\\\"].\",\"type\":\"str\",\"list\":true,\"value\":[\" \"]}},\"description\":\"Split text into chunks of a specified length.\",\"base_classes\":[\"Document\"],\"display_name\":\"Recursive Character Text Splitter\",\"custom_fields\":{\"chunk_overlap\":null,\"chunk_size\":null,\"documents\":null,\"separators\":null},\"output_types\":[\"RecursiveCharacterTextSplitter\"],\"documentation\":\"https://docs.langflow.org/components/text-splitters#recursivecharactertextsplitter\",\"beta\":true,\"error\":null},\"id\":\"RecursiveCharacterTextSplitter-1eaOX\"},\"selected\":false,\"positionAbsolute\":{\"x\":1409.2872773444874,\"y\":19.45456141103284},\"dragging\":false},{\"width\":384,\"height\":367,\"id\":\"OpenAIEmbeddings-cduOO\",\"type\":\"genericNode\",\"position\":{\"x\":1405.1176670984544,\"y\":1029.459061269321},\"data\":{\"type\":\"OpenAIEmbeddings\",\"node\":{\"template\":{\"allowed_special\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"value\":[],\"password\":false,\"name\":\"allowed_special\",\"advanced\":true,\"dynamic\":false,\"info\":\"\",\"type\":\"Literal'all'\",\"list\":true},\"disallowed_special\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"value\":\"all\",\"password\":false,\"name\":\"disallowed_special\",\"advanced\":true,\"dynamic\":false,\"info\":\"\",\"type\":\"Literal'all'\",\"list\":true},\"chunk_size\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"value\":1000,\"password\":false,\"name\":\"chunk_size\",\"advanced\":true,\"dynamic\":false,\"info\":\"\",\"type\":\"int\",\"list\":false},\"client\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"password\":false,\"name\":\"client\",\"advanced\":true,\"dynamic\":false,\"info\":\"\",\"type\":\"Any\",\"list\":false},\"deployment\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"value\":\"text-embedding-ada-002\",\"password\":false,\"name\":\"deployment\",\"advanced\":true,\"dynamic\":false,\"info\":\"\",\"type\":\"str\",\"list\":false},\"embedding_ctx_length\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"value\":8191,\"password\":false,\"name\":\"embedding_ctx_length\",\"advanced\":true,\"dynamic\":false,\"info\":\"\",\"type\":\"int\",\"list\":false},\"headers\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":true,\"value\":\"{'Authorization': 'Bearer '}\",\"password\":false,\"name\":\"headers\",\"advanced\":true,\"dynamic\":false,\"info\":\"\",\"type\":\"Any\",\"list\":false},\"max_retries\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"value\":6,\"password\":false,\"name\":\"max_retries\",\"advanced\":true,\"dynamic\":false,\"info\":\"\",\"type\":\"int\",\"list\":false},\"model\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"value\":\"text-embedding-ada-002\",\"password\":false,\"name\":\"model\",\"advanced\":true,\"dynamic\":false,\"info\":\"\",\"type\":\"str\",\"list\":false},\"model_kwargs\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"password\":false,\"name\":\"model_kwargs\",\"advanced\":true,\"dynamic\":false,\"info\":\"\",\"type\":\"dict\",\"list\":false},\"openai_api_base\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"password\":true,\"name\":\"openai_api_base\",\"display_name\":\"OpenAI API Base\",\"advanced\":true,\"dynamic\":false,\"info\":\"\",\"type\":\"str\",\"list\":false,\"value\":\"\"},\"openai_api_key\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"value\":\"\",\"password\":true,\"name\":\"openai_api_key\",\"display_name\":\"OpenAI API Key\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"str\",\"list\":false},\"openai_api_type\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"password\":true,\"name\":\"openai_api_type\",\"display_name\":\"OpenAI API Type\",\"advanced\":true,\"dynamic\":false,\"info\":\"\",\"type\":\"str\",\"list\":false,\"value\":\"\"},\"openai_api_version\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"password\":true,\"name\":\"openai_api_version\",\"display_name\":\"OpenAI API Version\",\"advanced\":true,\"dynamic\":false,\"info\":\"\",\"type\":\"str\",\"list\":false,\"value\":\"\"},\"openai_organization\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"password\":false,\"name\":\"openai_organization\",\"display_name\":\"OpenAI Organization\",\"advanced\":true,\"dynamic\":false,\"info\":\"\",\"type\":\"str\",\"list\":false},\"openai_proxy\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"password\":false,\"name\":\"openai_proxy\",\"display_name\":\"OpenAI Proxy\",\"advanced\":true,\"dynamic\":false,\"info\":\"\",\"type\":\"str\",\"list\":false},\"request_timeout\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"password\":false,\"name\":\"request_timeout\",\"advanced\":true,\"dynamic\":false,\"info\":\"\",\"type\":\"float\",\"list\":false},\"show_progress_bar\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"value\":false,\"password\":false,\"name\":\"show_progress_bar\",\"advanced\":true,\"dynamic\":false,\"info\":\"\",\"type\":\"bool\",\"list\":false},\"skip_empty\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"value\":false,\"password\":false,\"name\":\"skip_empty\",\"advanced\":true,\"dynamic\":false,\"info\":\"\",\"type\":\"bool\",\"list\":false},\"tiktoken_model_name\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"password\":true,\"name\":\"tiktoken_model_name\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"str\",\"list\":false,\"value\":\"\"},\"_type\":\"OpenAIEmbeddings\"},\"description\":\"OpenAI embedding models.\",\"base_classes\":[\"Embeddings\",\"OpenAIEmbeddings\"],\"display_name\":\"OpenAIEmbeddings\",\"custom_fields\":{},\"output_types\":[],\"documentation\":\"https://python.langchain.com/docs/modules/data_connection/text_embedding/integrations/openai\",\"beta\":false,\"error\":null},\"id\":\"OpenAIEmbeddings-cduOO\"},\"selected\":false,\"positionAbsolute\":{\"x\":1405.1176670984544,\"y\":1029.459061269321}},{\"width\":384,\"height\":339,\"id\":\"RetrievalQA-4PmTB\",\"type\":\"genericNode\",\"position\":{\"x\":2711.7786966415715,\"y\":709.4450828605463},\"data\":{\"type\":\"RetrievalQA\",\"node\":{\"template\":{\"callbacks\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"password\":false,\"name\":\"callbacks\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"langchain.callbacks.base.BaseCallbackHandler\",\"list\":true},\"combine_documents_chain\":{\"required\":true,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"password\":false,\"name\":\"combine_documents_chain\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"BaseCombineDocumentsChain\",\"list\":false},\"memory\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"password\":false,\"name\":\"memory\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"BaseMemory\",\"list\":false},\"retriever\":{\"required\":true,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"password\":false,\"name\":\"retriever\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"BaseRetriever\",\"list\":false},\"input_key\":{\"required\":true,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"value\":\"query\",\"password\":false,\"name\":\"input_key\",\"advanced\":true,\"dynamic\":false,\"info\":\"\",\"type\":\"str\",\"list\":false},\"metadata\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"password\":false,\"name\":\"metadata\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"dict\",\"list\":false},\"output_key\":{\"required\":true,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"value\":\"result\",\"password\":false,\"name\":\"output_key\",\"advanced\":true,\"dynamic\":false,\"info\":\"\",\"type\":\"str\",\"list\":false},\"return_source_documents\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"value\":true,\"password\":false,\"name\":\"return_source_documents\",\"advanced\":true,\"dynamic\":false,\"info\":\"\",\"type\":\"bool\",\"list\":false},\"tags\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"password\":false,\"name\":\"tags\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"str\",\"list\":true},\"verbose\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"password\":false,\"name\":\"verbose\",\"advanced\":true,\"dynamic\":false,\"info\":\"\",\"type\":\"bool\",\"list\":false},\"_type\":\"RetrievalQA\"},\"description\":\"Chain for question-answering against an index.\",\"base_classes\":[\"RetrievalQA\",\"Chain\",\"BaseRetrievalQA\",\"function\"],\"display_name\":\"RetrievalQA\",\"custom_fields\":{},\"output_types\":[],\"documentation\":\"https://python.langchain.com/docs/modules/chains/popular/vector_db_qa\",\"beta\":false,\"error\":null},\"id\":\"RetrievalQA-4PmTB\"},\"selected\":false,\"positionAbsolute\":{\"x\":2711.7786966415715,\"y\":709.4450828605463}},{\"width\":384,\"height\":333,\"id\":\"CombineDocsChain-yk0JF\",\"type\":\"genericNode\",\"position\":{\"x\":2125.6202053356537,\"y\":199.07708924409633},\"data\":{\"type\":\"CombineDocsChain\",\"node\":{\"template\":{\"llm\":{\"required\":true,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"password\":false,\"name\":\"llm\",\"display_name\":\"LLM\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"BaseLanguageModel\",\"list\":false},\"chain_type\":{\"required\":true,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"value\":\"stuff\",\"password\":false,\"options\":[\"stuff\",\"map_reduce\",\"map_rerank\",\"refine\"],\"name\":\"chain_type\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"str\",\"list\":true},\"_type\":\"load_qa_chain\"},\"description\":\"Load question answering chain.\",\"base_classes\":[\"BaseCombineDocumentsChain\",\"function\"],\"display_name\":\"CombineDocsChain\",\"custom_fields\":{},\"output_types\":[],\"documentation\":\"\",\"beta\":false,\"error\":null},\"id\":\"CombineDocsChain-yk0JF\"},\"selected\":false,\"positionAbsolute\":{\"x\":2125.6202053356537,\"y\":199.07708924409633},\"dragging\":false},{\"width\":384,\"height\":417,\"id\":\"CustomComponent-y6Wg0\",\"type\":\"genericNode\",\"position\":{\"x\":39.400034102832365,\"y\":-499.03551482195707},\"data\":{\"type\":\"CustomComponent\",\"node\":{\"template\":{\"code\":{\"dynamic\":true,\"required\":true,\"placeholder\":\"\",\"show\":true,\"multiline\":true,\"value\":\"from langflow import CustomComponent\\n\\nimport subprocess\\n\\nfrom langchain.llms.base import BaseLLM\\nfrom langchain.chains import LLMChain\\nfrom langchain.prompts import PromptTemplate\\nfrom langchain.schema import Document\\n\\nfrom typing import List\\n\\n\\nclass YourComponent(CustomComponent):\\n display_name: str = \\\"PIP Install\\\"\\n description: str = \\\"Create any custom component you want!\\\"\\n\\n def build(self, libs: List[str]) -> Document:\\n def install_package(package_name):\\n subprocess.check_call([\\\"pip\\\", \\\"install\\\", package_name])\\n for lib in libs:\\n install_package(lib)\\n return \\\"\\\"\",\"password\":false,\"name\":\"code\",\"advanced\":false,\"type\":\"code\",\"list\":false},\"_type\":\"CustomComponent\",\"libs\":{\"required\":true,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"password\":false,\"name\":\"libs\",\"display_name\":\"libs\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"str\",\"list\":true,\"value\":[\"requests\",\"pytube\"]}},\"description\":\"Create any custom component you want!\",\"base_classes\":[\"Document\"],\"display_name\":\"PIP Install\",\"custom_fields\":{\"libs\":null},\"output_types\":[],\"documentation\":\"\",\"beta\":true,\"error\":null},\"id\":\"CustomComponent-y6Wg0\"},\"selected\":false,\"dragging\":false,\"positionAbsolute\":{\"x\":39.400034102832365,\"y\":-499.03551482195707}}],\"edges\":[{\"source\":\"ChatOpenAI-q61Y2\",\"sourceHandle\":\"{œbaseClassesœ:[œChatOpenAIœ,œBaseChatModelœ,œBaseLanguageModelœ,œBaseLLMœ],œdataTypeœ:œChatOpenAIœ,œidœ:œChatOpenAI-q61Y2œ}\",\"target\":\"CustomComponent-h0NSI\",\"targetHandle\":\"{œfieldNameœ:œllmœ,œidœ:œCustomComponent-h0NSIœ,œinputTypesœ:null,œtypeœ:œBaseLLMœ}\",\"style\":{\"stroke\":\"#555\"},\"className\":\"stroke-gray-900 stroke-connection\",\"animated\":false,\"id\":\"reactflow__edge-ChatOpenAI-q61Y2{œbaseClassesœ:[œChatOpenAIœ,œBaseChatModelœ,œBaseLanguageModelœ,œBaseLLMœ],œdataTypeœ:œChatOpenAIœ,œidœ:œChatOpenAI-q61Y2œ}-CustomComponent-h0NSI{œfieldNameœ:œllmœ,œidœ:œCustomComponent-h0NSIœ,œinputTypesœ:null,œtypeœ:œBaseLLMœ}\",\"data\":{\"sourceHandle\":{\"baseClasses\":[\"ChatOpenAI\",\"BaseChatModel\",\"BaseLanguageModel\",\"BaseLLM\"],\"dataType\":\"ChatOpenAI\",\"id\":\"ChatOpenAI-q61Y2\"},\"targetHandle\":{\"fieldName\":\"llm\",\"id\":\"CustomComponent-h0NSI\",\"inputTypes\":null,\"type\":\"BaseLLM\"}}},{\"source\":\"CustomComponent-y6Wg0\",\"sourceHandle\":\"{œbaseClassesœ:[œDocumentœ],œdataTypeœ:œCustomComponentœ,œidœ:œCustomComponent-y6Wg0œ}\",\"target\":\"CustomComponent-h0NSI\",\"targetHandle\":\"{œfieldNameœ:œdependenciesœ,œidœ:œCustomComponent-h0NSIœ,œinputTypesœ:null,œtypeœ:œDocumentœ}\",\"style\":{\"stroke\":\"#555\"},\"className\":\"stroke-gray-900 stroke-connection\",\"animated\":false,\"id\":\"reactflow__edge-CustomComponent-y6Wg0{œbaseClassesœ:[œDocumentœ],œdataTypeœ:œCustomComponentœ,œidœ:œCustomComponent-y6Wg0œ}-CustomComponent-h0NSI{œfieldNameœ:œdependenciesœ,œidœ:œCustomComponent-h0NSIœ,œinputTypesœ:null,œtypeœ:œDocumentœ}\",\"data\":{\"sourceHandle\":{\"baseClasses\":[\"Document\"],\"dataType\":\"CustomComponent\",\"id\":\"CustomComponent-y6Wg0\"},\"targetHandle\":{\"fieldName\":\"dependencies\",\"id\":\"CustomComponent-h0NSI\",\"inputTypes\":null,\"type\":\"Document\"}}},{\"source\":\"CustomComponent-h0NSI\",\"sourceHandle\":\"{œbaseClassesœ:[œDocumentœ],œdataTypeœ:œCustomComponentœ,œidœ:œCustomComponent-h0NSIœ}\",\"target\":\"RecursiveCharacterTextSplitter-1eaOX\",\"targetHandle\":\"{œfieldNameœ:œdocumentsœ,œidœ:œRecursiveCharacterTextSplitter-1eaOXœ,œinputTypesœ:null,œtypeœ:œDocumentœ}\",\"style\":{\"stroke\":\"#555\"},\"className\":\"stroke-gray-900 stroke-connection\",\"animated\":false,\"id\":\"reactflow__edge-CustomComponent-h0NSI{œbaseClassesœ:[œDocumentœ],œdataTypeœ:œCustomComponentœ,œidœ:œCustomComponent-h0NSIœ}-RecursiveCharacterTextSplitter-1eaOX{œfieldNameœ:œdocumentsœ,œidœ:œRecursiveCharacterTextSplitter-1eaOXœ,œinputTypesœ:null,œtypeœ:œDocumentœ}\",\"data\":{\"sourceHandle\":{\"baseClasses\":[\"Document\"],\"dataType\":\"CustomComponent\",\"id\":\"CustomComponent-h0NSI\"},\"targetHandle\":{\"fieldName\":\"documents\",\"id\":\"RecursiveCharacterTextSplitter-1eaOX\",\"inputTypes\":null,\"type\":\"Document\"}},\"selected\":false},{\"source\":\"OpenAIEmbeddings-cduOO\",\"sourceHandle\":\"{œbaseClassesœ:[œEmbeddingsœ,œOpenAIEmbeddingsœ],œdataTypeœ:œOpenAIEmbeddingsœ,œidœ:œOpenAIEmbeddings-cduOOœ}\",\"target\":\"Chroma-gVhy7\",\"targetHandle\":\"{œfieldNameœ:œembeddingœ,œidœ:œChroma-gVhy7œ,œinputTypesœ:null,œtypeœ:œEmbeddingsœ}\",\"style\":{\"stroke\":\"#555\"},\"className\":\"stroke-gray-900 stroke-connection\",\"animated\":false,\"id\":\"reactflow__edge-OpenAIEmbeddings-cduOO{œbaseClassesœ:[œEmbeddingsœ,œOpenAIEmbeddingsœ],œdataTypeœ:œOpenAIEmbeddingsœ,œidœ:œOpenAIEmbeddings-cduOOœ}-Chroma-gVhy7{œfieldNameœ:œembeddingœ,œidœ:œChroma-gVhy7œ,œinputTypesœ:null,œtypeœ:œEmbeddingsœ}\",\"data\":{\"sourceHandle\":{\"baseClasses\":[\"Embeddings\",\"OpenAIEmbeddings\"],\"dataType\":\"OpenAIEmbeddings\",\"id\":\"OpenAIEmbeddings-cduOO\"},\"targetHandle\":{\"fieldName\":\"embedding\",\"id\":\"Chroma-gVhy7\",\"inputTypes\":null,\"type\":\"Embeddings\"}}},{\"source\":\"RecursiveCharacterTextSplitter-1eaOX\",\"sourceHandle\":\"{œbaseClassesœ:[œDocumentœ],œdataTypeœ:œRecursiveCharacterTextSplitterœ,œidœ:œRecursiveCharacterTextSplitter-1eaOXœ}\",\"target\":\"Chroma-gVhy7\",\"targetHandle\":\"{œfieldNameœ:œdocumentsœ,œidœ:œChroma-gVhy7œ,œinputTypesœ:null,œtypeœ:œDocumentœ}\",\"style\":{\"stroke\":\"#555\"},\"className\":\"stroke-gray-900 stroke-connection\",\"animated\":false,\"id\":\"reactflow__edge-RecursiveCharacterTextSplitter-1eaOX{œbaseClassesœ:[œDocumentœ],œdataTypeœ:œRecursiveCharacterTextSplitterœ,œidœ:œRecursiveCharacterTextSplitter-1eaOXœ}-Chroma-gVhy7{œfieldNameœ:œdocumentsœ,œidœ:œChroma-gVhy7œ,œinputTypesœ:null,œtypeœ:œDocumentœ}\",\"data\":{\"sourceHandle\":{\"baseClasses\":[\"Document\"],\"dataType\":\"RecursiveCharacterTextSplitter\",\"id\":\"RecursiveCharacterTextSplitter-1eaOX\"},\"targetHandle\":{\"fieldName\":\"documents\",\"id\":\"Chroma-gVhy7\",\"inputTypes\":null,\"type\":\"Document\"}}},{\"source\":\"ChatOpenAI-q61Y2\",\"sourceHandle\":\"{œbaseClassesœ:[œChatOpenAIœ,œBaseChatModelœ,œBaseLanguageModelœ,œBaseLLMœ],œdataTypeœ:œChatOpenAIœ,œidœ:œChatOpenAI-q61Y2œ}\",\"target\":\"CombineDocsChain-yk0JF\",\"targetHandle\":\"{œfieldNameœ:œllmœ,œidœ:œCombineDocsChain-yk0JFœ,œinputTypesœ:null,œtypeœ:œBaseLanguageModelœ}\",\"style\":{\"stroke\":\"#555\"},\"className\":\"stroke-gray-900 stroke-connection\",\"animated\":false,\"id\":\"reactflow__edge-ChatOpenAI-q61Y2{œbaseClassesœ:[œChatOpenAIœ,œBaseChatModelœ,œBaseLanguageModelœ,œBaseLLMœ],œdataTypeœ:œChatOpenAIœ,œidœ:œChatOpenAI-q61Y2œ}-CombineDocsChain-yk0JF{œfieldNameœ:œllmœ,œidœ:œCombineDocsChain-yk0JFœ,œinputTypesœ:null,œtypeœ:œBaseLanguageModelœ}\",\"data\":{\"sourceHandle\":{\"baseClasses\":[\"ChatOpenAI\",\"BaseChatModel\",\"BaseLanguageModel\",\"BaseLLM\"],\"dataType\":\"ChatOpenAI\",\"id\":\"ChatOpenAI-q61Y2\"},\"targetHandle\":{\"fieldName\":\"llm\",\"id\":\"CombineDocsChain-yk0JF\",\"inputTypes\":null,\"type\":\"BaseLanguageModel\"}}},{\"source\":\"CombineDocsChain-yk0JF\",\"sourceHandle\":\"{œbaseClassesœ:[œBaseCombineDocumentsChainœ,œfunctionœ],œdataTypeœ:œCombineDocsChainœ,œidœ:œCombineDocsChain-yk0JFœ}\",\"target\":\"RetrievalQA-4PmTB\",\"targetHandle\":\"{œfieldNameœ:œcombine_documents_chainœ,œidœ:œRetrievalQA-4PmTBœ,œinputTypesœ:null,œtypeœ:œBaseCombineDocumentsChainœ}\",\"style\":{\"stroke\":\"#555\"},\"className\":\"stroke-gray-900 stroke-connection\",\"animated\":false,\"id\":\"reactflow__edge-CombineDocsChain-yk0JF{œbaseClassesœ:[œBaseCombineDocumentsChainœ,œfunctionœ],œdataTypeœ:œCombineDocsChainœ,œidœ:œCombineDocsChain-yk0JFœ}-RetrievalQA-4PmTB{œfieldNameœ:œcombine_documents_chainœ,œidœ:œRetrievalQA-4PmTBœ,œinputTypesœ:null,œtypeœ:œBaseCombineDocumentsChainœ}\",\"data\":{\"sourceHandle\":{\"baseClasses\":[\"BaseCombineDocumentsChain\",\"function\"],\"dataType\":\"CombineDocsChain\",\"id\":\"CombineDocsChain-yk0JF\"},\"targetHandle\":{\"fieldName\":\"combine_documents_chain\",\"id\":\"RetrievalQA-4PmTB\",\"inputTypes\":null,\"type\":\"BaseCombineDocumentsChain\"}}},{\"source\":\"Chroma-gVhy7\",\"sourceHandle\":\"{œbaseClassesœ:[œVectorStoreœ,œChromaœ,œBaseRetrieverœ,œVectorStoreRetrieverœ],œdataTypeœ:œChromaœ,œidœ:œChroma-gVhy7œ}\",\"target\":\"RetrievalQA-4PmTB\",\"targetHandle\":\"{œfieldNameœ:œretrieverœ,œidœ:œRetrievalQA-4PmTBœ,œinputTypesœ:null,œtypeœ:œBaseRetrieverœ}\",\"style\":{\"stroke\":\"#555\"},\"className\":\"stroke-gray-900 stroke-connection\",\"animated\":false,\"id\":\"reactflow__edge-Chroma-gVhy7{œbaseClassesœ:[œVectorStoreœ,œChromaœ,œBaseRetrieverœ,œVectorStoreRetrieverœ],œdataTypeœ:œChromaœ,œidœ:œChroma-gVhy7œ}-RetrievalQA-4PmTB{œfieldNameœ:œretrieverœ,œidœ:œRetrievalQA-4PmTBœ,œinputTypesœ:null,œtypeœ:œBaseRetrieverœ}\",\"data\":{\"sourceHandle\":{\"baseClasses\":[\"VectorStore\",\"Chroma\",\"BaseRetriever\",\"VectorStoreRetriever\"],\"dataType\":\"Chroma\",\"id\":\"Chroma-gVhy7\"},\"targetHandle\":{\"fieldName\":\"retriever\",\"id\":\"RetrievalQA-4PmTB\",\"inputTypes\":null,\"type\":\"BaseRetriever\"}}}],\"viewport\":{\"x\":189.54413265004274,\"y\":259.89949657174975,\"zoom\":0.291027508374689}},\"is_component\":false,\"updated_at\":\"2023-12-04T22:59:08.830269\",\"folder\":null,\"id\":\"bc7eb94b-6fc6-49cb-9b19-35347ba51afa\",\"user_id\":\"d253bfba-6368-44dc-85f7-0d6da9e45968\"},{\"name\":\"Web Scraper - Content & Links\",\"description\":\"Fetch and parse text and links from a given URL.\",\"data\":{\"nodes\":[{\"width\":384,\"height\":338,\"id\":\"LLMChain-H7PBy\",\"type\":\"genericNode\",\"position\":{\"x\":1682.494010974207,\"y\":275.5701585623092},\"data\":{\"type\":\"LLMChain\",\"node\":{\"template\":{\"code\":{\"dynamic\":true,\"required\":true,\"placeholder\":\"\",\"show\":false,\"multiline\":true,\"value\":\"from typing import Callable, Optional, Union\\n\\nfrom langchain.chains import LLMChain\\n\\nfrom langflow import CustomComponent\\nfrom langflow.field_typing import (\\n BaseLanguageModel,\\n BaseMemory,\\n BasePromptTemplate,\\n Chain,\\n)\\n\\n\\nclass LLMChainComponent(CustomComponent):\\n display_name = \\\"LLMChain\\\"\\n description = \\\"Chain to run queries against LLMs\\\"\\n\\n def build_config(self):\\n return {\\n \\\"prompt\\\": {\\\"display_name\\\": \\\"Prompt\\\"},\\n \\\"llm\\\": {\\\"display_name\\\": \\\"LLM\\\"},\\n \\\"memory\\\": {\\\"display_name\\\": \\\"Memory\\\"},\\n \\\"code\\\": {\\\"show\\\": False},\\n }\\n\\n def build(\\n self,\\n prompt: BasePromptTemplate,\\n llm: BaseLanguageModel,\\n memory: Optional[BaseMemory] = None,\\n ) -> Union[Chain, Callable]:\\n return LLMChain(prompt=prompt, llm=llm, memory=memory)\\n\",\"password\":false,\"name\":\"code\",\"advanced\":false,\"type\":\"code\",\"list\":false},\"_type\":\"CustomComponent\",\"llm\":{\"required\":true,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"password\":false,\"name\":\"llm\",\"display_name\":\"LLM\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"BaseLanguageModel\",\"list\":false},\"memory\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"password\":false,\"name\":\"memory\",\"display_name\":\"Memory\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"BaseMemory\",\"list\":false},\"prompt\":{\"required\":true,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"password\":false,\"name\":\"prompt\",\"display_name\":\"Prompt\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"BasePromptTemplate\",\"list\":false}},\"description\":\"Chain to run queries against LLMs\",\"base_classes\":[\"Chain\",\"Callable\"],\"display_name\":\"LLMChain\",\"custom_fields\":{\"llm\":null,\"memory\":null,\"prompt\":null},\"output_types\":[\"LLMChain\"],\"documentation\":\"\",\"beta\":true,\"error\":null},\"id\":\"LLMChain-H7PBy\"},\"selected\":false,\"positionAbsolute\":{\"x\":1682.494010974207,\"y\":275.5701585623092},\"dragging\":false},{\"width\":384,\"height\":626,\"id\":\"ChatOpenAI-VSAdc\",\"type\":\"genericNode\",\"position\":{\"x\":1002.4263147022411,\"y\":-198.2305006886859},\"data\":{\"type\":\"ChatOpenAI\",\"node\":{\"template\":{\"callbacks\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"password\":false,\"name\":\"callbacks\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"langchain_core.callbacks.base.BaseCallbackHandler\",\"list\":true},\"async_client\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"password\":false,\"name\":\"async_client\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"Any\",\"list\":false},\"cache\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"password\":false,\"name\":\"cache\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"bool\",\"list\":false},\"client\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"password\":false,\"name\":\"client\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"Any\",\"list\":false},\"default_headers\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"password\":false,\"name\":\"default_headers\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"dict\",\"list\":false},\"default_query\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"password\":false,\"name\":\"default_query\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"dict\",\"list\":false},\"http_client\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"password\":false,\"name\":\"http_client\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"Any\",\"list\":false},\"max_retries\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"value\":2,\"password\":false,\"name\":\"max_retries\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"int\",\"list\":false},\"max_tokens\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"password\":true,\"name\":\"max_tokens\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"int\",\"list\":false,\"value\":\"\"},\"metadata\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"password\":false,\"name\":\"metadata\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"dict\",\"list\":false},\"model_kwargs\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"password\":false,\"name\":\"model_kwargs\",\"advanced\":true,\"dynamic\":false,\"info\":\"\",\"type\":\"dict\",\"list\":false},\"model_name\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"value\":\"gpt-4-1106-preview\",\"password\":false,\"options\":[\"gpt-4-1106-preview\",\"gpt-4\",\"gpt-4-32k\",\"gpt-3.5-turbo\",\"gpt-3.5-turbo-16k\"],\"name\":\"model_name\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"str\",\"list\":true},\"n\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"value\":1,\"password\":false,\"name\":\"n\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"int\",\"list\":false},\"openai_api_base\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"password\":false,\"name\":\"openai_api_base\",\"display_name\":\"OpenAI API Base\",\"advanced\":false,\"dynamic\":false,\"info\":\"\\nThe base URL of the OpenAI API. Defaults to https://api.openai.com/v1.\\n\\nYou can change this to use other APIs like JinaChat, LocalAI and Prem.\\n\",\"type\":\"str\",\"list\":false},\"openai_api_key\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"value\":\"sk-...\",\"password\":true,\"name\":\"openai_api_key\",\"display_name\":\"OpenAI API Key\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"str\",\"list\":false},\"openai_organization\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"password\":false,\"name\":\"openai_organization\",\"display_name\":\"OpenAI Organization\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"str\",\"list\":false},\"openai_proxy\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"password\":false,\"name\":\"openai_proxy\",\"display_name\":\"OpenAI Proxy\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"str\",\"list\":false},\"request_timeout\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"password\":false,\"name\":\"request_timeout\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"float\",\"list\":false},\"streaming\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"value\":false,\"password\":false,\"name\":\"streaming\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"bool\",\"list\":false},\"tags\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"password\":false,\"name\":\"tags\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"str\",\"list\":true},\"temperature\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"value\":\"0.1\",\"password\":false,\"name\":\"temperature\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"float\",\"list\":false},\"tiktoken_model_name\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"password\":false,\"name\":\"tiktoken_model_name\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"str\",\"list\":false},\"verbose\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"value\":false,\"password\":false,\"name\":\"verbose\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"bool\",\"list\":false},\"_type\":\"ChatOpenAI\"},\"description\":\"`OpenAI` Chat large language models API.\",\"base_classes\":[\"BaseLanguageModel\",\"ChatOpenAI\",\"BaseChatModel\",\"BaseLLM\"],\"display_name\":\"ChatOpenAI\",\"custom_fields\":{},\"output_types\":[],\"documentation\":\"https://python.langchain.com/docs/modules/model_io/models/chat/integrations/openai\",\"beta\":false,\"error\":null},\"id\":\"ChatOpenAI-VSAdc\"},\"selected\":false,\"dragging\":false,\"positionAbsolute\":{\"x\":1002.4263147022411,\"y\":-198.2305006886859}},{\"width\":384,\"height\":374,\"data\":{\"id\":\"GroupNode-WXPMk\",\"type\":\"PromptTemplate\",\"node\":{\"output_types\":[],\"display_name\":\"Web Scraper\",\"documentation\":\"\",\"base_classes\":[\"StringPromptTemplate\",\"BasePromptTemplate\",\"PromptTemplate\"],\"description\":\"Fetch and parse text and links from a given URL.\",\"template\":{\"code_CustomComponent-f6nOg\":{\"dynamic\":true,\"required\":true,\"placeholder\":\"\",\"show\":false,\"multiline\":true,\"value\":\"from langflow import CustomComponent\\nfrom langflow.field_typing import Data\\nimport html2text\\n\\nclass ConvertHTMLToMarkdown(CustomComponent):\\n display_name: str = \\\"HTML to Markdown\\\"\\n description: str = \\\"Converts HTML content to Markdown format.\\\"\\n\\n def build(self, html_content: Data, ignore_links: bool = False) -> str:\\n converter = html2text.HTML2Text()\\n converter.ignore_links = ignore_links\\n markdown_text = converter.handle(html_content)\\n self.status = markdown_text\\n return markdown_text\\n\",\"password\":false,\"name\":\"code\",\"advanced\":false,\"type\":\"code\",\"list\":false,\"proxy\":{\"id\":\"CustomComponent-f6nOg\",\"field\":\"code\"},\"display_name\":\"Code\"},\"ignore_links_CustomComponent-f6nOg\":{\"required\":true,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"value\":false,\"password\":false,\"name\":\"ignore_links\",\"display_name\":\"ignore_links\",\"advanced\":true,\"dynamic\":false,\"info\":\"\",\"type\":\"bool\",\"list\":false,\"proxy\":{\"id\":\"CustomComponent-f6nOg\",\"field\":\"ignore_links\"}},\"code_CustomComponent-FGzJJ\":{\"dynamic\":true,\"required\":true,\"placeholder\":\"\",\"show\":false,\"multiline\":true,\"value\":\"from langflow import CustomComponent\\nfrom langflow.field_typing import Data\\nimport requests\\n\\nclass FetchHTMLContent(CustomComponent):\\n display_name: str = \\\"Fetch HTML\\\"\\n description: str = \\\"Fetches HTML content from a specified URL.\\\"\\n \\n def build_config(self):\\n return {\\\"url\\\": {\\\"input_types\\\": [\\\"Data\\\", \\\"str\\\"]}} \\n\\n def build(self, url: str) -> Data:\\n response = requests.get(url)\\n self.status = str(response) + \\\"\\\\n\\\\n\\\" + response.text\\n return response.text\\n\",\"password\":false,\"name\":\"code\",\"advanced\":false,\"type\":\"code\",\"list\":false,\"proxy\":{\"id\":\"CustomComponent-FGzJJ\",\"field\":\"code\"},\"display_name\":\"Code\"},\"code_CustomComponent-0XtUN\":{\"dynamic\":true,\"required\":true,\"placeholder\":\"\",\"show\":false,\"multiline\":true,\"value\":\"from bs4 import BeautifulSoup\\nfrom langflow import CustomComponent\\nfrom langflow.field_typing import Data\\n\\nclass ParseHTMLContent(CustomComponent):\\n display_name: str = \\\"Parse HTML\\\"\\n description: str = \\\"Parses HTML content using Beautiful Soup.\\\"\\n\\n def build(self, html_content: Data) -> Data:\\n soup = BeautifulSoup(html_content, 'html.parser')\\n self.status = soup\\n return soup\\n\",\"password\":false,\"name\":\"code\",\"advanced\":false,\"type\":\"code\",\"list\":false,\"proxy\":{\"id\":\"CustomComponent-0XtUN\",\"field\":\"code\"},\"display_name\":\"Code\"},\"code_CustomComponent-ODIcp\":{\"dynamic\":true,\"required\":true,\"placeholder\":\"\",\"show\":false,\"multiline\":true,\"value\":\"from langflow import CustomComponent\\nfrom langflow.field_typing import Data\\n\\nclass ExtractHyperlinks(CustomComponent):\\n display_name: str = \\\"Extract Hyperlinks\\\"\\n description: str = \\\"Extracts hyperlinks from parsed HTML content.\\\"\\n\\n def build(self, soup: Data) -> list:\\n links = [link.get('href') for link in soup.find_all('a')]\\n self.status = links\\n return links\\n\",\"password\":false,\"name\":\"code\",\"advanced\":false,\"type\":\"code\",\"list\":false,\"proxy\":{\"id\":\"CustomComponent-ODIcp\",\"field\":\"code\"},\"display_name\":\"Code\"},\"output_parser_PromptTemplate-H9Udy\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"password\":false,\"name\":\"output_parser\",\"advanced\":false,\"dynamic\":true,\"info\":\"\",\"type\":\"BaseOutputParser\",\"list\":false,\"proxy\":{\"id\":\"PromptTemplate-H9Udy\",\"field\":\"output_parser\"},\"display_name\":\"Output Parser\"},\"input_types_PromptTemplate-H9Udy\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"password\":false,\"name\":\"input_types\",\"advanced\":true,\"dynamic\":true,\"info\":\"\",\"type\":\"dict\",\"list\":false,\"proxy\":{\"id\":\"PromptTemplate-H9Udy\",\"field\":\"input_types\"},\"display_name\":\"Input Types\"},\"input_variables_PromptTemplate-H9Udy\":{\"required\":true,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"password\":false,\"name\":\"input_variables\",\"advanced\":false,\"dynamic\":true,\"info\":\"\",\"type\":\"str\",\"list\":true,\"value\":[\"url\",\"html_markdown\",\"html_links\",\"query\"],\"proxy\":{\"id\":\"PromptTemplate-H9Udy\",\"field\":\"input_variables\"},\"display_name\":\"Input Variables\"},\"partial_variables_PromptTemplate-H9Udy\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"password\":false,\"name\":\"partial_variables\",\"advanced\":true,\"dynamic\":true,\"info\":\"\",\"type\":\"dict\",\"list\":false,\"proxy\":{\"id\":\"PromptTemplate-H9Udy\",\"field\":\"partial_variables\"},\"display_name\":\"Partial Variables\"},\"template_PromptTemplate-H9Udy\":{\"required\":true,\"placeholder\":\"\",\"show\":true,\"multiline\":true,\"password\":false,\"name\":\"template\",\"advanced\":true,\"dynamic\":true,\"info\":\"\",\"type\":\"prompt\",\"list\":false,\"value\":\"Below is the HTML content (as markdown) and hyperlinks extracted from {url}\\n\\n---\\n\\nContent:\\n\\n{html_markdown}\\n\\n---\\n\\nLinks:\\n\\n{html_links}\\n\\n---\\n\\nAnswer the user query as best as possible.\\n\\nUser query:\\n\\n{query}\\n\\nAnswer:\\n\",\"proxy\":{\"id\":\"PromptTemplate-H9Udy\",\"field\":\"template\"},\"display_name\":\"Template\"},\"template_format_PromptTemplate-H9Udy\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"value\":\"f-string\",\"password\":false,\"name\":\"template_format\",\"advanced\":true,\"dynamic\":true,\"info\":\"\",\"type\":\"str\",\"list\":false,\"proxy\":{\"id\":\"PromptTemplate-H9Udy\",\"field\":\"template_format\"},\"display_name\":\"Template Format\"},\"validate_template_PromptTemplate-H9Udy\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"value\":false,\"password\":false,\"name\":\"validate_template\",\"advanced\":true,\"dynamic\":true,\"info\":\"\",\"type\":\"bool\",\"list\":false,\"proxy\":{\"id\":\"PromptTemplate-H9Udy\",\"field\":\"validate_template\"},\"display_name\":\"Validate Template\"},\"query_PromptTemplate-H9Udy\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":true,\"value\":\"give me links\",\"password\":false,\"name\":\"query\",\"display_name\":\"query\",\"advanced\":false,\"input_types\":[\"Document\",\"BaseOutputParser\"],\"dynamic\":false,\"info\":\"\",\"type\":\"str\",\"list\":false,\"proxy\":{\"id\":\"PromptTemplate-H9Udy\",\"field\":\"query\"}},\"code_CustomComponent-OACE0\":{\"dynamic\":true,\"required\":true,\"placeholder\":\"\",\"show\":false,\"multiline\":true,\"value\":\"from langflow import CustomComponent\\nfrom langflow.field_typing import Data\\nimport requests\\n\\nclass FetchHTMLContent(CustomComponent):\\n display_name: str = \\\"URL Input\\\"\\n\\n def build(self, url: str) -> str:\\n return url\\n\",\"password\":false,\"name\":\"code\",\"advanced\":false,\"type\":\"code\",\"list\":false,\"proxy\":{\"id\":\"CustomComponent-OACE0\",\"field\":\"code\"},\"display_name\":\"Code\"},\"url_CustomComponent-OACE0\":{\"required\":true,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"password\":false,\"name\":\"url\",\"display_name\":\"url\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"str\",\"list\":false,\"proxy\":{\"id\":\"CustomComponent-OACE0\",\"field\":\"url\"},\"value\":\"https://paperswithcode.com/\"},\"code_CustomComponent-whsQ5\":{\"dynamic\":true,\"required\":true,\"placeholder\":\"\",\"show\":false,\"multiline\":true,\"value\":\"from langflow import CustomComponent\\n\\nclass ListToMarkdownBullets(CustomComponent):\\n display_name: str = \\\"List to Bullets\\\"\\n description: str = \\\"Converts a Python list into Markdown bullet points.\\\"\\n\\n def build(self, items: list) -> str:\\n markdown_bullets = '\\\\n'.join(f'* {item}' for item in items)\\n return markdown_bullets\\n\",\"password\":false,\"name\":\"code\",\"advanced\":false,\"type\":\"code\",\"list\":false,\"proxy\":{\"id\":\"CustomComponent-whsQ5\",\"field\":\"code\"},\"display_name\":\"Code\"}},\"flow\":{\"data\":{\"nodes\":[{\"width\":384,\"height\":405,\"id\":\"CustomComponent-f6nOg\",\"type\":\"genericNode\",\"position\":{\"x\":665.2835942536854,\"y\":-371.7823429271119},\"data\":{\"type\":\"CustomComponent\",\"node\":{\"template\":{\"code\":{\"dynamic\":true,\"required\":true,\"placeholder\":\"\",\"show\":true,\"multiline\":true,\"value\":\"from langflow import CustomComponent\\nfrom langflow.field_typing import Data\\nimport html2text\\n\\nclass ConvertHTMLToMarkdown(CustomComponent):\\n display_name: str = \\\"HTML to Markdown\\\"\\n description: str = \\\"Converts HTML content to Markdown format.\\\"\\n\\n def build(self, html_content: Data, ignore_links: bool = False) -> str:\\n converter = html2text.HTML2Text()\\n converter.ignore_links = ignore_links\\n markdown_text = converter.handle(html_content)\\n self.status = markdown_text\\n return markdown_text\\n\",\"password\":false,\"name\":\"code\",\"advanced\":false,\"type\":\"code\",\"list\":false},\"_type\":\"CustomComponent\",\"html_content\":{\"required\":true,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"password\":false,\"name\":\"html_content\",\"display_name\":\"html_content\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"Data\",\"list\":false},\"ignore_links\":{\"required\":true,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"value\":false,\"password\":false,\"name\":\"ignore_links\",\"display_name\":\"ignore_links\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"bool\",\"list\":false}},\"description\":\"Converts HTML content to Markdown format.\",\"base_classes\":[\"str\"],\"display_name\":\"HTML to Markdown\",\"custom_fields\":{\"html_content\":null,\"ignore_links\":null},\"output_types\":[\"str\"],\"documentation\":\"\",\"beta\":true,\"error\":null},\"id\":\"CustomComponent-f6nOg\"},\"selected\":true,\"positionAbsolute\":{\"x\":665.2835942536854,\"y\":-371.7823429271119},\"dragging\":false},{\"width\":384,\"height\":375,\"id\":\"CustomComponent-FGzJJ\",\"type\":\"genericNode\",\"position\":{\"x\":-464.4553400967736,\"y\":-225.62715888255525},\"data\":{\"type\":\"CustomComponent\",\"node\":{\"template\":{\"code\":{\"dynamic\":true,\"required\":true,\"placeholder\":\"\",\"show\":true,\"multiline\":true,\"value\":\"from langflow import CustomComponent\\nfrom langflow.field_typing import Data\\nimport requests\\n\\nclass FetchHTMLContent(CustomComponent):\\n display_name: str = \\\"Fetch HTML\\\"\\n description: str = \\\"Fetches HTML content from a specified URL.\\\"\\n \\n def build_config(self):\\n return {\\\"url\\\": {\\\"input_types\\\": [\\\"Data\\\", \\\"str\\\"]}} \\n\\n def build(self, url: str) -> Data:\\n response = requests.get(url)\\n self.status = str(response) + \\\"\\\\n\\\\n\\\" + response.text\\n return response.text\\n\",\"password\":false,\"name\":\"code\",\"advanced\":false,\"type\":\"code\",\"list\":false},\"_type\":\"CustomComponent\",\"url\":{\"required\":true,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"password\":false,\"name\":\"url\",\"display_name\":\"url\",\"advanced\":false,\"input_types\":[\"Data\",\"str\"],\"dynamic\":false,\"info\":\"\",\"type\":\"str\",\"list\":false,\"value\":\"\"}},\"description\":\"Fetches HTML content from a specified URL.\",\"base_classes\":[\"Data\"],\"display_name\":\"Fetch HTML\",\"custom_fields\":{\"url\":null},\"output_types\":[\"Data\"],\"documentation\":\"\",\"beta\":true,\"error\":null},\"id\":\"CustomComponent-FGzJJ\"},\"selected\":true,\"dragging\":false,\"positionAbsolute\":{\"x\":-464.4553400967736,\"y\":-225.62715888255525}},{\"width\":384,\"height\":329,\"id\":\"CustomComponent-0XtUN\",\"type\":\"genericNode\",\"position\":{\"x\":214.00059169497604,\"y\":177.27071061129823},\"data\":{\"type\":\"CustomComponent\",\"node\":{\"template\":{\"code\":{\"dynamic\":true,\"required\":true,\"placeholder\":\"\",\"show\":true,\"multiline\":true,\"value\":\"from bs4 import BeautifulSoup\\nfrom langflow import CustomComponent\\nfrom langflow.field_typing import Data\\n\\nclass ParseHTMLContent(CustomComponent):\\n display_name: str = \\\"Parse HTML\\\"\\n description: str = \\\"Parses HTML content using Beautiful Soup.\\\"\\n\\n def build(self, html_content: Data) -> Data:\\n soup = BeautifulSoup(html_content, 'html.parser')\\n self.status = soup\\n return soup\\n\",\"password\":false,\"name\":\"code\",\"advanced\":false,\"type\":\"code\",\"list\":false},\"_type\":\"CustomComponent\",\"html_content\":{\"required\":true,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"password\":false,\"name\":\"html_content\",\"display_name\":\"html_content\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"Data\",\"list\":false}},\"description\":\"Parses HTML content using Beautiful Soup.\",\"base_classes\":[\"Data\"],\"display_name\":\"Parse HTML\",\"custom_fields\":{\"html_content\":null},\"output_types\":[\"Data\"],\"documentation\":\"\",\"beta\":true,\"error\":null},\"id\":\"CustomComponent-0XtUN\"},\"selected\":true,\"dragging\":false,\"positionAbsolute\":{\"x\":214.00059169497604,\"y\":177.27071061129823}},{\"width\":384,\"height\":329,\"id\":\"CustomComponent-ODIcp\",\"type\":\"genericNode\",\"position\":{\"x\":845.0502195222412,\"y\":366.54344452019404},\"data\":{\"type\":\"CustomComponent\",\"node\":{\"template\":{\"code\":{\"dynamic\":true,\"required\":true,\"placeholder\":\"\",\"show\":true,\"multiline\":true,\"value\":\"from langflow import CustomComponent\\nfrom langflow.field_typing import Data\\n\\nclass ExtractHyperlinks(CustomComponent):\\n display_name: str = \\\"Extract Hyperlinks\\\"\\n description: str = \\\"Extracts hyperlinks from parsed HTML content.\\\"\\n\\n def build(self, soup: Data) -> list:\\n links = [link.get('href') for link in soup.find_all('a')]\\n self.status = links\\n return links\\n\",\"password\":false,\"name\":\"code\",\"advanced\":false,\"type\":\"code\",\"list\":false},\"_type\":\"CustomComponent\",\"soup\":{\"required\":true,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"password\":false,\"name\":\"soup\",\"display_name\":\"soup\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"Data\",\"list\":false}},\"description\":\"Extracts hyperlinks from parsed HTML content.\",\"base_classes\":[\"list\"],\"display_name\":\"Extract Hyperlinks\",\"custom_fields\":{\"soup\":null},\"output_types\":[\"list\"],\"documentation\":\"\",\"beta\":true,\"error\":null},\"id\":\"CustomComponent-ODIcp\"},\"selected\":true,\"positionAbsolute\":{\"x\":845.0502195222412,\"y\":366.54344452019404},\"dragging\":false},{\"width\":384,\"height\":657,\"id\":\"PromptTemplate-H9Udy\",\"type\":\"genericNode\",\"position\":{\"x\":2230.389721706283,\"y\":584.4905083765256},\"data\":{\"type\":\"PromptTemplate\",\"node\":{\"template\":{\"output_parser\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"password\":false,\"name\":\"output_parser\",\"advanced\":false,\"dynamic\":true,\"info\":\"\",\"type\":\"BaseOutputParser\",\"list\":false},\"input_types\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"password\":false,\"name\":\"input_types\",\"advanced\":false,\"dynamic\":true,\"info\":\"\",\"type\":\"dict\",\"list\":false},\"input_variables\":{\"required\":true,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"password\":false,\"name\":\"input_variables\",\"advanced\":false,\"dynamic\":true,\"info\":\"\",\"type\":\"str\",\"list\":true,\"value\":[\"url\",\"html_markdown\",\"html_links\",\"query\"]},\"partial_variables\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"password\":false,\"name\":\"partial_variables\",\"advanced\":false,\"dynamic\":true,\"info\":\"\",\"type\":\"dict\",\"list\":false},\"template\":{\"required\":true,\"placeholder\":\"\",\"show\":true,\"multiline\":true,\"password\":false,\"name\":\"template\",\"advanced\":false,\"dynamic\":true,\"info\":\"\",\"type\":\"prompt\",\"list\":false,\"value\":\"Below is the HTML content (as markdown) and hyperlinks extracted from {url}\\n\\n---\\n\\nContent:\\n\\n{html_markdown}\\n\\n---\\n\\nLinks:\\n\\n{html_links}\\n\\n---\\n\\nAnswer the user query as best as possible.\\n\\nUser query:\\n\\n{query}\\n\\nAnswer:\\n\"},\"template_format\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"value\":\"f-string\",\"password\":false,\"name\":\"template_format\",\"advanced\":false,\"dynamic\":true,\"info\":\"\",\"type\":\"str\",\"list\":false},\"validate_template\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"value\":false,\"password\":false,\"name\":\"validate_template\",\"advanced\":false,\"dynamic\":true,\"info\":\"\",\"type\":\"bool\",\"list\":false},\"_type\":\"PromptTemplate\",\"url\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":true,\"value\":\"\",\"password\":false,\"name\":\"url\",\"display_name\":\"url\",\"advanced\":false,\"input_types\":[\"Document\",\"BaseOutputParser\"],\"dynamic\":false,\"info\":\"\",\"type\":\"str\",\"list\":false},\"html_markdown\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":true,\"value\":\"\",\"password\":false,\"name\":\"html_markdown\",\"display_name\":\"html_markdown\",\"advanced\":false,\"input_types\":[\"Document\",\"BaseOutputParser\"],\"dynamic\":false,\"info\":\"\",\"type\":\"str\",\"list\":false},\"html_links\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":true,\"value\":\"\",\"password\":false,\"name\":\"html_links\",\"display_name\":\"html_links\",\"advanced\":false,\"input_types\":[\"Document\",\"BaseOutputParser\"],\"dynamic\":false,\"info\":\"\",\"type\":\"str\",\"list\":false},\"query\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":true,\"value\":\"\",\"password\":false,\"name\":\"query\",\"display_name\":\"query\",\"advanced\":false,\"input_types\":[\"Document\",\"BaseOutputParser\"],\"dynamic\":false,\"info\":\"\",\"type\":\"str\",\"list\":false}},\"description\":\"A prompt template for a language model.\",\"base_classes\":[\"StringPromptTemplate\",\"BasePromptTemplate\",\"PromptTemplate\"],\"name\":\"\",\"display_name\":\"PromptTemplate\",\"documentation\":\"https://python.langchain.com/docs/modules/model_io/prompts/prompt_templates/\",\"custom_fields\":{\"\":[\"url\",\"html_markdown\",\"html_links\",\"query\"]},\"output_types\":[],\"full_path\":null,\"field_formatters\":{},\"beta\":false,\"error\":null},\"id\":\"PromptTemplate-H9Udy\"},\"selected\":true,\"positionAbsolute\":{\"x\":2230.389721706283,\"y\":584.4905083765256},\"dragging\":false},{\"width\":384,\"height\":347,\"id\":\"CustomComponent-OACE0\",\"type\":\"genericNode\",\"position\":{\"x\":-1155.9497945157625,\"y\":198.13583204151553},\"data\":{\"type\":\"CustomComponent\",\"node\":{\"template\":{\"code\":{\"dynamic\":true,\"required\":true,\"placeholder\":\"\",\"show\":true,\"multiline\":true,\"value\":\"from langflow import CustomComponent\\nfrom langflow.field_typing import Data\\nimport requests\\n\\nclass FetchHTMLContent(CustomComponent):\\n display_name: str = \\\"URL Input\\\"\\n\\n def build(self, url: str) -> str:\\n return url\\n\",\"password\":false,\"name\":\"code\",\"advanced\":false,\"type\":\"code\",\"list\":false},\"_type\":\"CustomComponent\",\"url\":{\"required\":true,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"password\":false,\"name\":\"url\",\"display_name\":\"url\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"str\",\"list\":false}},\"description\":null,\"base_classes\":[\"str\"],\"display_name\":\"URL Input\",\"custom_fields\":{\"url\":null},\"output_types\":[\"str\"],\"documentation\":\"\",\"beta\":true,\"error\":null},\"id\":\"CustomComponent-OACE0\"},\"selected\":true,\"positionAbsolute\":{\"x\":-1155.9497945157625,\"y\":198.13583204151553},\"dragging\":false},{\"width\":384,\"height\":329,\"id\":\"CustomComponent-whsQ5\",\"type\":\"genericNode\",\"position\":{\"x\":1396.5574076376327,\"y\":694.8308714574463},\"data\":{\"type\":\"CustomComponent\",\"node\":{\"template\":{\"code\":{\"dynamic\":true,\"required\":true,\"placeholder\":\"\",\"show\":true,\"multiline\":true,\"value\":\"from langflow import CustomComponent\\n\\nclass ListToMarkdownBullets(CustomComponent):\\n display_name: str = \\\"List to Bullets\\\"\\n description: str = \\\"Converts a Python list into Markdown bullet points.\\\"\\n\\n def build(self, items: list) -> str:\\n markdown_bullets = '\\\\n'.join(f'* {item}' for item in items)\\n return markdown_bullets\\n\",\"password\":false,\"name\":\"code\",\"advanced\":false,\"type\":\"code\",\"list\":false},\"_type\":\"CustomComponent\",\"items\":{\"required\":true,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"password\":false,\"name\":\"items\",\"display_name\":\"items\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"list\",\"list\":true}},\"description\":\"Converts a Python list into Markdown bullet points.\",\"base_classes\":[\"str\"],\"display_name\":\"List to Bullets\",\"custom_fields\":{\"items\":null},\"output_types\":[\"str\"],\"documentation\":\"\",\"beta\":true,\"error\":null},\"id\":\"CustomComponent-whsQ5\"},\"selected\":true,\"positionAbsolute\":{\"x\":1396.5574076376327,\"y\":694.8308714574463},\"dragging\":false}],\"edges\":[{\"source\":\"CustomComponent-FGzJJ\",\"sourceHandle\":\"{œbaseClassesœ:[œDataœ],œdataTypeœ:œCustomComponentœ,œidœ:œCustomComponent-FGzJJœ}\",\"target\":\"CustomComponent-f6nOg\",\"targetHandle\":\"{œfieldNameœ:œhtml_contentœ,œidœ:œCustomComponent-f6nOgœ,œinputTypesœ:null,œtypeœ:œDataœ}\",\"data\":{\"targetHandle\":{\"fieldName\":\"html_content\",\"id\":\"CustomComponent-f6nOg\",\"inputTypes\":null,\"type\":\"Data\"},\"sourceHandle\":{\"baseClasses\":[\"Data\"],\"dataType\":\"CustomComponent\",\"id\":\"CustomComponent-FGzJJ\"}},\"style\":{\"stroke\":\"#555\"},\"className\":\"stroke-foreground stroke-connection\",\"animated\":false,\"id\":\"reactflow__edge-CustomComponent-FGzJJ{œbaseClassesœ:[œDataœ],œdataTypeœ:œCustomComponentœ,œidœ:œCustomComponent-FGzJJœ}-CustomComponent-f6nOg{œfieldNameœ:œhtml_contentœ,œidœ:œCustomComponent-f6nOgœ,œinputTypesœ:null,œtypeœ:œDataœ}\",\"selected\":true},{\"source\":\"CustomComponent-FGzJJ\",\"sourceHandle\":\"{œbaseClassesœ:[œDataœ],œdataTypeœ:œCustomComponentœ,œidœ:œCustomComponent-FGzJJœ}\",\"target\":\"CustomComponent-0XtUN\",\"targetHandle\":\"{œfieldNameœ:œhtml_contentœ,œidœ:œCustomComponent-0XtUNœ,œinputTypesœ:null,œtypeœ:œDataœ}\",\"data\":{\"targetHandle\":{\"fieldName\":\"html_content\",\"id\":\"CustomComponent-0XtUN\",\"inputTypes\":null,\"type\":\"Data\"},\"sourceHandle\":{\"baseClasses\":[\"Data\"],\"dataType\":\"CustomComponent\",\"id\":\"CustomComponent-FGzJJ\"}},\"style\":{\"stroke\":\"#555\"},\"className\":\"stroke-foreground stroke-connection\",\"animated\":false,\"id\":\"reactflow__edge-CustomComponent-FGzJJ{œbaseClassesœ:[œDataœ],œdataTypeœ:œCustomComponentœ,œidœ:œCustomComponent-FGzJJœ}-CustomComponent-0XtUN{œfieldNameœ:œhtml_contentœ,œidœ:œCustomComponent-0XtUNœ,œinputTypesœ:null,œtypeœ:œDataœ}\",\"selected\":true},{\"source\":\"CustomComponent-0XtUN\",\"sourceHandle\":\"{œbaseClassesœ:[œDataœ],œdataTypeœ:œCustomComponentœ,œidœ:œCustomComponent-0XtUNœ}\",\"target\":\"CustomComponent-ODIcp\",\"targetHandle\":\"{œfieldNameœ:œsoupœ,œidœ:œCustomComponent-ODIcpœ,œinputTypesœ:null,œtypeœ:œDataœ}\",\"data\":{\"targetHandle\":{\"fieldName\":\"soup\",\"id\":\"CustomComponent-ODIcp\",\"inputTypes\":null,\"type\":\"Data\"},\"sourceHandle\":{\"baseClasses\":[\"Data\"],\"dataType\":\"CustomComponent\",\"id\":\"CustomComponent-0XtUN\"}},\"style\":{\"stroke\":\"#555\"},\"className\":\"stroke-foreground stroke-connection\",\"animated\":false,\"id\":\"reactflow__edge-CustomComponent-0XtUN{œbaseClassesœ:[œDataœ],œdataTypeœ:œCustomComponentœ,œidœ:œCustomComponent-0XtUNœ}-CustomComponent-ODIcp{œfieldNameœ:œsoupœ,œidœ:œCustomComponent-ODIcpœ,œinputTypesœ:null,œtypeœ:œDataœ}\",\"selected\":true},{\"source\":\"CustomComponent-OACE0\",\"sourceHandle\":\"{œbaseClassesœ:[œstrœ],œdataTypeœ:œCustomComponentœ,œidœ:œCustomComponent-OACE0œ}\",\"target\":\"CustomComponent-FGzJJ\",\"targetHandle\":\"{œfieldNameœ:œurlœ,œidœ:œCustomComponent-FGzJJœ,œinputTypesœ:[œDataœ,œstrœ],œtypeœ:œstrœ}\",\"data\":{\"targetHandle\":{\"fieldName\":\"url\",\"id\":\"CustomComponent-FGzJJ\",\"inputTypes\":[\"Data\",\"str\"],\"type\":\"str\"},\"sourceHandle\":{\"baseClasses\":[\"str\"],\"dataType\":\"CustomComponent\",\"id\":\"CustomComponent-OACE0\"}},\"style\":{\"stroke\":\"#555\"},\"className\":\"stroke-foreground stroke-connection\",\"animated\":false,\"id\":\"reactflow__edge-CustomComponent-OACE0{œbaseClassesœ:[œstrœ],œdataTypeœ:œCustomComponentœ,œidœ:œCustomComponent-OACE0œ}-CustomComponent-FGzJJ{œfieldNameœ:œurlœ,œidœ:œCustomComponent-FGzJJœ,œinputTypesœ:[œDataœ,œstrœ],œtypeœ:œstrœ}\",\"selected\":true},{\"source\":\"CustomComponent-OACE0\",\"sourceHandle\":\"{œbaseClassesœ:[œstrœ],œdataTypeœ:œCustomComponentœ,œidœ:œCustomComponent-OACE0œ}\",\"target\":\"PromptTemplate-H9Udy\",\"targetHandle\":\"{œfieldNameœ:œurlœ,œidœ:œPromptTemplate-H9Udyœ,œinputTypesœ:[œDocumentœ,œBaseOutputParserœ],œtypeœ:œstrœ}\",\"data\":{\"targetHandle\":{\"fieldName\":\"url\",\"id\":\"PromptTemplate-H9Udy\",\"inputTypes\":[\"Document\",\"BaseOutputParser\"],\"type\":\"str\"},\"sourceHandle\":{\"baseClasses\":[\"str\"],\"dataType\":\"CustomComponent\",\"id\":\"CustomComponent-OACE0\"}},\"style\":{\"stroke\":\"#555\"},\"className\":\"stroke-foreground stroke-connection\",\"animated\":false,\"id\":\"reactflow__edge-CustomComponent-OACE0{œbaseClassesœ:[œstrœ],œdataTypeœ:œCustomComponentœ,œidœ:œCustomComponent-OACE0œ}-PromptTemplate-H9Udy{œfieldNameœ:œurlœ,œidœ:œPromptTemplate-H9Udyœ,œinputTypesœ:[œDocumentœ,œBaseOutputParserœ],œtypeœ:œstrœ}\",\"selected\":true},{\"source\":\"CustomComponent-ODIcp\",\"sourceHandle\":\"{œbaseClassesœ:[œlistœ],œdataTypeœ:œCustomComponentœ,œidœ:œCustomComponent-ODIcpœ}\",\"target\":\"CustomComponent-whsQ5\",\"targetHandle\":\"{œfieldNameœ:œitemsœ,œidœ:œCustomComponent-whsQ5œ,œinputTypesœ:null,œtypeœ:œlistœ}\",\"data\":{\"targetHandle\":{\"fieldName\":\"items\",\"id\":\"CustomComponent-whsQ5\",\"inputTypes\":null,\"type\":\"list\"},\"sourceHandle\":{\"baseClasses\":[\"list\"],\"dataType\":\"CustomComponent\",\"id\":\"CustomComponent-ODIcp\"}},\"style\":{\"stroke\":\"#555\"},\"className\":\"stroke-foreground stroke-connection\",\"animated\":false,\"id\":\"reactflow__edge-CustomComponent-ODIcp{œbaseClassesœ:[œlistœ],œdataTypeœ:œCustomComponentœ,œidœ:œCustomComponent-ODIcpœ}-CustomComponent-whsQ5{œfieldNameœ:œitemsœ,œidœ:œCustomComponent-whsQ5œ,œinputTypesœ:null,œtypeœ:œlistœ}\",\"selected\":true},{\"source\":\"CustomComponent-whsQ5\",\"sourceHandle\":\"{œbaseClassesœ:[œstrœ],œdataTypeœ:œCustomComponentœ,œidœ:œCustomComponent-whsQ5œ}\",\"target\":\"PromptTemplate-H9Udy\",\"targetHandle\":\"{œfieldNameœ:œhtml_linksœ,œidœ:œPromptTemplate-H9Udyœ,œinputTypesœ:[œDocumentœ,œBaseOutputParserœ],œtypeœ:œstrœ}\",\"data\":{\"targetHandle\":{\"fieldName\":\"html_links\",\"id\":\"PromptTemplate-H9Udy\",\"inputTypes\":[\"Document\",\"BaseOutputParser\"],\"type\":\"str\"},\"sourceHandle\":{\"baseClasses\":[\"str\"],\"dataType\":\"CustomComponent\",\"id\":\"CustomComponent-whsQ5\"}},\"style\":{\"stroke\":\"#555\"},\"className\":\"stroke-foreground stroke-connection\",\"animated\":false,\"id\":\"reactflow__edge-CustomComponent-whsQ5{œbaseClassesœ:[œstrœ],œdataTypeœ:œCustomComponentœ,œidœ:œCustomComponent-whsQ5œ}-PromptTemplate-H9Udy{œfieldNameœ:œhtml_linksœ,œidœ:œPromptTemplate-H9Udyœ,œinputTypesœ:[œDocumentœ,œBaseOutputParserœ],œtypeœ:œstrœ}\",\"selected\":true},{\"source\":\"CustomComponent-f6nOg\",\"sourceHandle\":\"{œbaseClassesœ:[œstrœ],œdataTypeœ:œCustomComponentœ,œidœ:œCustomComponent-f6nOgœ}\",\"target\":\"PromptTemplate-H9Udy\",\"targetHandle\":\"{œfieldNameœ:œhtml_markdownœ,œidœ:œPromptTemplate-H9Udyœ,œinputTypesœ:[œDocumentœ,œBaseOutputParserœ],œtypeœ:œstrœ}\",\"data\":{\"targetHandle\":{\"fieldName\":\"html_markdown\",\"id\":\"PromptTemplate-H9Udy\",\"inputTypes\":[\"Document\",\"BaseOutputParser\"],\"type\":\"str\"},\"sourceHandle\":{\"baseClasses\":[\"str\"],\"dataType\":\"CustomComponent\",\"id\":\"CustomComponent-f6nOg\"}},\"style\":{\"stroke\":\"#555\"},\"className\":\"stroke-foreground stroke-connection\",\"animated\":false,\"id\":\"reactflow__edge-CustomComponent-f6nOg{œbaseClassesœ:[œstrœ],œdataTypeœ:œCustomComponentœ,œidœ:œCustomComponent-f6nOgœ}-PromptTemplate-H9Udy{œfieldNameœ:œhtml_markdownœ,œidœ:œPromptTemplate-H9Udyœ,œinputTypesœ:[œDocumentœ,œBaseOutputParserœ],œtypeœ:œstrœ}\",\"selected\":true}],\"viewport\":{\"x\":343.0346131188585,\"y\":341.89843948642147,\"zoom\":0.24148408223121196}},\"is_component\":false,\"name\":\"Fluffy Ptolemy\",\"description\":\"\",\"id\":\"W5oNW\"}}},\"id\":\"GroupNode-WXPMk\",\"position\":{\"x\":873.0737834322758,\"y\":598.8401015776466},\"type\":\"genericNode\",\"selected\":true,\"dragging\":false,\"positionAbsolute\":{\"x\":873.0737834322758,\"y\":598.8401015776466}}],\"edges\":[{\"source\":\"ChatOpenAI-VSAdc\",\"sourceHandle\":\"{œbaseClassesœ:[œBaseLanguageModelœ,œChatOpenAIœ,œBaseChatModelœ,œBaseLLMœ],œdataTypeœ:œChatOpenAIœ,œidœ:œChatOpenAI-VSAdcœ}\",\"target\":\"LLMChain-H7PBy\",\"targetHandle\":\"{œfieldNameœ:œllmœ,œidœ:œLLMChain-H7PByœ,œinputTypesœ:null,œtypeœ:œBaseLanguageModelœ}\",\"data\":{\"targetHandle\":{\"fieldName\":\"llm\",\"id\":\"LLMChain-H7PBy\",\"inputTypes\":null,\"type\":\"BaseLanguageModel\"},\"sourceHandle\":{\"baseClasses\":[\"BaseLanguageModel\",\"ChatOpenAI\",\"BaseChatModel\",\"BaseLLM\"],\"dataType\":\"ChatOpenAI\",\"id\":\"ChatOpenAI-VSAdc\"}},\"style\":{\"stroke\":\"#555\"},\"className\":\"stroke-gray-900 stroke-connection\",\"animated\":false,\"id\":\"reactflow__edge-ChatOpenAI-VSAdc{œbaseClassesœ:[œBaseLanguageModelœ,œChatOpenAIœ,œBaseChatModelœ,œBaseLLMœ],œdataTypeœ:œChatOpenAIœ,œidœ:œChatOpenAI-VSAdcœ}-LLMChain-H7PBy{œfieldNameœ:œllmœ,œidœ:œLLMChain-H7PByœ,œinputTypesœ:null,œtypeœ:œBaseLanguageModelœ}\"},{\"source\":\"GroupNode-WXPMk\",\"sourceHandle\":\"{œbaseClassesœ:[œStringPromptTemplateœ,œBasePromptTemplateœ,œPromptTemplateœ],œdataTypeœ:œPromptTemplateœ,œidœ:œGroupNode-WXPMkœ}\",\"target\":\"LLMChain-H7PBy\",\"targetHandle\":\"{œfieldNameœ:œpromptœ,œidœ:œLLMChain-H7PByœ,œinputTypesœ:null,œtypeœ:œBasePromptTemplateœ}\",\"data\":{\"targetHandle\":{\"fieldName\":\"prompt\",\"id\":\"LLMChain-H7PBy\",\"inputTypes\":null,\"type\":\"BasePromptTemplate\"},\"sourceHandle\":{\"baseClasses\":[\"StringPromptTemplate\",\"BasePromptTemplate\",\"PromptTemplate\"],\"dataType\":\"PromptTemplate\",\"id\":\"GroupNode-WXPMk\"}},\"style\":{\"stroke\":\"#555\"},\"className\":\"stroke-gray-900 stroke-connection\",\"animated\":false,\"id\":\"reactflow__edge-GroupNode-WXPMk{œbaseClassesœ:[œStringPromptTemplateœ,œBasePromptTemplateœ,œPromptTemplateœ],œdataTypeœ:œPromptTemplateœ,œidœ:œGroupNode-WXPMkœ}-LLMChain-H7PBy{œfieldNameœ:œpromptœ,œidœ:œLLMChain-H7PByœ,œinputTypesœ:null,œtypeœ:œBasePromptTemplateœ}\"}],\"viewport\":{\"x\":-348.6161822813733,\"y\":121.40545291211492,\"zoom\":0.6801854262029781}},\"is_component\":false,\"updated_at\":\"2023-12-04T23:22:27.784647\",\"folder\":null,\"id\":\"efc3bf27-3cf1-4561-9a83-3df347572440\",\"user_id\":\"d253bfba-6368-44dc-85f7-0d6da9e45968\"},{\"name\":\"Sad Joliot\",\"description\":\"Navigate the Networks of Conversation.\",\"data\":{\"nodes\":[{\"width\":384,\"height\":338,\"id\":\"LLMChain-RQsU1\",\"type\":\"genericNode\",\"position\":{\"x\":514.4440482813261,\"y\":528.164086188516},\"data\":{\"type\":\"LLMChain\",\"node\":{\"template\":{\"code\":{\"dynamic\":true,\"required\":true,\"placeholder\":\"\",\"show\":false,\"multiline\":true,\"value\":\"from typing import Callable, Optional, Union\\n\\nfrom langchain.chains import LLMChain\\n\\nfrom langflow import CustomComponent\\nfrom langflow.field_typing import (\\n BaseLanguageModel,\\n BaseMemory,\\n BasePromptTemplate,\\n Chain,\\n)\\n\\n\\nclass LLMChainComponent(CustomComponent):\\n display_name = \\\"LLMChain\\\"\\n description = \\\"Chain to run queries against LLMs\\\"\\n\\n def build_config(self):\\n return {\\n \\\"prompt\\\": {\\\"display_name\\\": \\\"Prompt\\\"},\\n \\\"llm\\\": {\\\"display_name\\\": \\\"LLM\\\"},\\n \\\"memory\\\": {\\\"display_name\\\": \\\"Memory\\\"},\\n \\\"code\\\": {\\\"show\\\": False},\\n }\\n\\n def build(\\n self,\\n prompt: BasePromptTemplate,\\n llm: BaseLanguageModel,\\n memory: Optional[BaseMemory] = None,\\n ) -> Union[Chain, Callable]:\\n return LLMChain(prompt=prompt, llm=llm, memory=memory)\\n\",\"password\":false,\"name\":\"code\",\"advanced\":false,\"type\":\"code\",\"list\":false},\"_type\":\"CustomComponent\",\"llm\":{\"required\":true,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"password\":false,\"name\":\"llm\",\"display_name\":\"LLM\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"BaseLanguageModel\",\"list\":false},\"memory\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"password\":false,\"name\":\"memory\",\"display_name\":\"Memory\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"BaseMemory\",\"list\":false},\"prompt\":{\"required\":true,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"password\":false,\"name\":\"prompt\",\"display_name\":\"Prompt\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"BasePromptTemplate\",\"list\":false}},\"description\":\"Chain to run queries against LLMs\",\"base_classes\":[\"Chain\",\"Callable\"],\"display_name\":\"LLMChain\",\"custom_fields\":{\"llm\":null,\"memory\":null,\"prompt\":null},\"output_types\":[\"LLMChain\"],\"documentation\":\"\",\"beta\":true,\"error\":null},\"id\":\"LLMChain-RQsU1\"},\"selected\":false,\"positionAbsolute\":{\"x\":514.4440482813261,\"y\":528.164086188516}},{\"width\":384,\"height\":626,\"id\":\"ChatOpenAI-NTTcv\",\"type\":\"genericNode\",\"position\":{\"x\":-221.33853765781578,\"y\":-35.48749923706055},\"data\":{\"type\":\"ChatOpenAI\",\"node\":{\"template\":{\"callbacks\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"password\":false,\"name\":\"callbacks\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"langchain_core.callbacks.base.BaseCallbackHandler\",\"list\":true},\"async_client\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"password\":false,\"name\":\"async_client\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"Any\",\"list\":false},\"cache\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"password\":false,\"name\":\"cache\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"bool\",\"list\":false},\"client\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"password\":false,\"name\":\"client\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"Any\",\"list\":false},\"default_headers\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"password\":false,\"name\":\"default_headers\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"dict\",\"list\":false},\"default_query\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"password\":false,\"name\":\"default_query\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"dict\",\"list\":false},\"http_client\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"password\":false,\"name\":\"http_client\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"Any\",\"list\":false},\"max_retries\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"value\":2,\"password\":false,\"name\":\"max_retries\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"int\",\"list\":false},\"max_tokens\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"password\":true,\"name\":\"max_tokens\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"int\",\"list\":false},\"metadata\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"password\":false,\"name\":\"metadata\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"dict\",\"list\":false},\"model_kwargs\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"password\":false,\"name\":\"model_kwargs\",\"advanced\":true,\"dynamic\":false,\"info\":\"\",\"type\":\"dict\",\"list\":false},\"model_name\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"value\":\"gpt-4-1106-preview\",\"password\":false,\"options\":[\"gpt-4-1106-preview\",\"gpt-4\",\"gpt-4-32k\",\"gpt-3.5-turbo\",\"gpt-3.5-turbo-16k\"],\"name\":\"model_name\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"str\",\"list\":true},\"n\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"value\":1,\"password\":false,\"name\":\"n\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"int\",\"list\":false},\"openai_api_base\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"password\":false,\"name\":\"openai_api_base\",\"display_name\":\"OpenAI API Base\",\"advanced\":false,\"dynamic\":false,\"info\":\"\\nThe base URL of the OpenAI API. Defaults to https://api.openai.com/v1.\\n\\nYou can change this to use other APIs like JinaChat, LocalAI and Prem.\\n\",\"type\":\"str\",\"list\":false},\"openai_api_key\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"value\":\"sk-...\",\"password\":true,\"name\":\"openai_api_key\",\"display_name\":\"OpenAI API Key\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"str\",\"list\":false},\"openai_organization\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"password\":false,\"name\":\"openai_organization\",\"display_name\":\"OpenAI Organization\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"str\",\"list\":false},\"openai_proxy\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"password\":false,\"name\":\"openai_proxy\",\"display_name\":\"OpenAI Proxy\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"str\",\"list\":false},\"request_timeout\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"password\":false,\"name\":\"request_timeout\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"float\",\"list\":false},\"streaming\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"value\":false,\"password\":false,\"name\":\"streaming\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"bool\",\"list\":false},\"tags\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"password\":false,\"name\":\"tags\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"str\",\"list\":true},\"temperature\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"value\":\"0.1\",\"password\":false,\"name\":\"temperature\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"float\",\"list\":false},\"tiktoken_model_name\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"password\":false,\"name\":\"tiktoken_model_name\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"str\",\"list\":false},\"verbose\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"value\":false,\"password\":false,\"name\":\"verbose\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"bool\",\"list\":false},\"_type\":\"ChatOpenAI\"},\"description\":\"`OpenAI` Chat large language models API.\",\"base_classes\":[\"BaseLanguageModel\",\"ChatOpenAI\",\"BaseChatModel\",\"BaseLLM\"],\"display_name\":\"ChatOpenAI\",\"custom_fields\":{},\"output_types\":[],\"documentation\":\"https://python.langchain.com/docs/modules/model_io/models/chat/integrations/openai\",\"beta\":false,\"error\":null},\"id\":\"ChatOpenAI-NTTcv\"},\"selected\":false,\"positionAbsolute\":{\"x\":-221.33853765781578,\"y\":-35.48749923706055}},{\"width\":384,\"height\":374,\"id\":\"PromptTemplate-VELMV\",\"type\":\"genericNode\",\"position\":{\"x\":-222,\"y\":682.560723386973},\"data\":{\"id\":\"PromptTemplate-VELMV\",\"type\":\"PromptTemplate\",\"node\":{\"output_types\":[],\"display_name\":\"Web Scraper\",\"documentation\":\"\",\"base_classes\":[\"StringPromptTemplate\",\"BasePromptTemplate\",\"PromptTemplate\"],\"description\":\"Fetch and parse text and links from a given URL.\",\"template\":{\"code_CustomComponent-f6nOg\":{\"dynamic\":true,\"required\":true,\"placeholder\":\"\",\"show\":false,\"multiline\":true,\"value\":\"from langflow import CustomComponent\\nfrom langflow.field_typing import Data\\nimport html2text\\n\\nclass ConvertHTMLToMarkdown(CustomComponent):\\n display_name: str = \\\"HTML to Markdown\\\"\\n description: str = \\\"Converts HTML content to Markdown format.\\\"\\n\\n def build(self, html_content: Data, ignore_links: bool = False) -> str:\\n converter = html2text.HTML2Text()\\n converter.ignore_links = ignore_links\\n markdown_text = converter.handle(html_content)\\n self.status = markdown_text\\n return markdown_text\\n\",\"password\":false,\"name\":\"code\",\"advanced\":false,\"type\":\"code\",\"list\":false,\"proxy\":{\"id\":\"CustomComponent-f6nOg\",\"field\":\"code\"},\"display_name\":\"Code\"},\"ignore_links_CustomComponent-f6nOg\":{\"required\":true,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"value\":false,\"password\":false,\"name\":\"ignore_links\",\"display_name\":\"ignore_links\",\"advanced\":true,\"dynamic\":false,\"info\":\"\",\"type\":\"bool\",\"list\":false,\"proxy\":{\"id\":\"CustomComponent-f6nOg\",\"field\":\"ignore_links\"}},\"code_CustomComponent-FGzJJ\":{\"dynamic\":true,\"required\":true,\"placeholder\":\"\",\"show\":false,\"multiline\":true,\"value\":\"from langflow import CustomComponent\\nfrom langflow.field_typing import Data\\nimport requests\\n\\nclass FetchHTMLContent(CustomComponent):\\n display_name: str = \\\"Fetch HTML\\\"\\n description: str = \\\"Fetches HTML content from a specified URL.\\\"\\n \\n def build_config(self):\\n return {\\\"url\\\": {\\\"input_types\\\": [\\\"Data\\\", \\\"str\\\"]}} \\n\\n def build(self, url: str) -> Data:\\n response = requests.get(url)\\n self.status = str(response) + \\\"\\\\n\\\\n\\\" + response.text\\n return response.text\\n\",\"password\":false,\"name\":\"code\",\"advanced\":false,\"type\":\"code\",\"list\":false,\"proxy\":{\"id\":\"CustomComponent-FGzJJ\",\"field\":\"code\"},\"display_name\":\"Code\"},\"code_CustomComponent-0XtUN\":{\"dynamic\":true,\"required\":true,\"placeholder\":\"\",\"show\":false,\"multiline\":true,\"value\":\"from bs4 import BeautifulSoup\\nfrom langflow import CustomComponent\\nfrom langflow.field_typing import Data\\n\\nclass ParseHTMLContent(CustomComponent):\\n display_name: str = \\\"Parse HTML\\\"\\n description: str = \\\"Parses HTML content using Beautiful Soup.\\\"\\n\\n def build(self, html_content: Data) -> Data:\\n soup = BeautifulSoup(html_content, 'html.parser')\\n self.status = soup\\n return soup\\n\",\"password\":false,\"name\":\"code\",\"advanced\":false,\"type\":\"code\",\"list\":false,\"proxy\":{\"id\":\"CustomComponent-0XtUN\",\"field\":\"code\"},\"display_name\":\"Code\"},\"code_CustomComponent-ODIcp\":{\"dynamic\":true,\"required\":true,\"placeholder\":\"\",\"show\":false,\"multiline\":true,\"value\":\"from langflow import CustomComponent\\nfrom langflow.field_typing import Data\\n\\nclass ExtractHyperlinks(CustomComponent):\\n display_name: str = \\\"Extract Hyperlinks\\\"\\n description: str = \\\"Extracts hyperlinks from parsed HTML content.\\\"\\n\\n def build(self, soup: Data) -> list:\\n links = [link.get('href') for link in soup.find_all('a')]\\n self.status = links\\n return links\\n\",\"password\":false,\"name\":\"code\",\"advanced\":false,\"type\":\"code\",\"list\":false,\"proxy\":{\"id\":\"CustomComponent-ODIcp\",\"field\":\"code\"},\"display_name\":\"Code\"},\"output_parser_PromptTemplate-H9Udy\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"password\":false,\"name\":\"output_parser\",\"advanced\":false,\"dynamic\":true,\"info\":\"\",\"type\":\"BaseOutputParser\",\"list\":false,\"proxy\":{\"id\":\"PromptTemplate-H9Udy\",\"field\":\"output_parser\"},\"display_name\":\"Output Parser\"},\"input_types_PromptTemplate-H9Udy\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"password\":false,\"name\":\"input_types\",\"advanced\":true,\"dynamic\":true,\"info\":\"\",\"type\":\"dict\",\"list\":false,\"proxy\":{\"id\":\"PromptTemplate-H9Udy\",\"field\":\"input_types\"},\"display_name\":\"Input Types\"},\"input_variables_PromptTemplate-H9Udy\":{\"required\":true,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"password\":false,\"name\":\"input_variables\",\"advanced\":false,\"dynamic\":true,\"info\":\"\",\"type\":\"str\",\"list\":true,\"value\":[\"url\",\"html_markdown\",\"html_links\",\"query\"],\"proxy\":{\"id\":\"PromptTemplate-H9Udy\",\"field\":\"input_variables\"},\"display_name\":\"Input Variables\"},\"partial_variables_PromptTemplate-H9Udy\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"password\":false,\"name\":\"partial_variables\",\"advanced\":true,\"dynamic\":true,\"info\":\"\",\"type\":\"dict\",\"list\":false,\"proxy\":{\"id\":\"PromptTemplate-H9Udy\",\"field\":\"partial_variables\"},\"display_name\":\"Partial Variables\"},\"template_PromptTemplate-H9Udy\":{\"required\":true,\"placeholder\":\"\",\"show\":true,\"multiline\":true,\"password\":false,\"name\":\"template\",\"advanced\":true,\"dynamic\":true,\"info\":\"\",\"type\":\"prompt\",\"list\":false,\"value\":\"Below is the HTML content (as markdown) and hyperlinks extracted from {url}\\n\\n---\\n\\nContent:\\n\\n{html_markdown}\\n\\n---\\n\\nLinks:\\n\\n{html_links}\\n\\n---\\n\\nAnswer the user query as best as possible.\\n\\nUser query:\\n\\n{query}\\n\\nAnswer:\\n\",\"proxy\":{\"id\":\"PromptTemplate-H9Udy\",\"field\":\"template\"},\"display_name\":\"Template\"},\"template_format_PromptTemplate-H9Udy\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"value\":\"f-string\",\"password\":false,\"name\":\"template_format\",\"advanced\":true,\"dynamic\":true,\"info\":\"\",\"type\":\"str\",\"list\":false,\"proxy\":{\"id\":\"PromptTemplate-H9Udy\",\"field\":\"template_format\"},\"display_name\":\"Template Format\"},\"validate_template_PromptTemplate-H9Udy\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"value\":false,\"password\":false,\"name\":\"validate_template\",\"advanced\":true,\"dynamic\":true,\"info\":\"\",\"type\":\"bool\",\"list\":false,\"proxy\":{\"id\":\"PromptTemplate-H9Udy\",\"field\":\"validate_template\"},\"display_name\":\"Validate Template\"},\"query_PromptTemplate-H9Udy\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":true,\"value\":\"\",\"password\":false,\"name\":\"query\",\"display_name\":\"query\",\"advanced\":false,\"input_types\":[\"Document\",\"BaseOutputParser\"],\"dynamic\":false,\"info\":\"\",\"type\":\"str\",\"list\":false,\"proxy\":{\"id\":\"PromptTemplate-H9Udy\",\"field\":\"query\"}},\"code_CustomComponent-OACE0\":{\"dynamic\":true,\"required\":true,\"placeholder\":\"\",\"show\":false,\"multiline\":true,\"value\":\"from langflow import CustomComponent\\nfrom langflow.field_typing import Data\\nimport requests\\n\\nclass FetchHTMLContent(CustomComponent):\\n display_name: str = \\\"URL Input\\\"\\n\\n def build(self, url: str) -> str:\\n return url\\n\",\"password\":false,\"name\":\"code\",\"advanced\":false,\"type\":\"code\",\"list\":false,\"proxy\":{\"id\":\"CustomComponent-OACE0\",\"field\":\"code\"},\"display_name\":\"Code\"},\"url_CustomComponent-OACE0\":{\"required\":true,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"password\":false,\"name\":\"url\",\"display_name\":\"url\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"str\",\"list\":false,\"proxy\":{\"id\":\"CustomComponent-OACE0\",\"field\":\"url\"},\"value\":\"https://paperswithcode.com/\"},\"code_CustomComponent-whsQ5\":{\"dynamic\":true,\"required\":true,\"placeholder\":\"\",\"show\":false,\"multiline\":true,\"value\":\"from langflow import CustomComponent\\n\\nclass ListToMarkdownBullets(CustomComponent):\\n display_name: str = \\\"List to Bullets\\\"\\n description: str = \\\"Converts a Python list into Markdown bullet points.\\\"\\n\\n def build(self, items: list) -> str:\\n markdown_bullets = '\\\\n'.join(f'* {item}' for item in items)\\n return markdown_bullets\\n\",\"password\":false,\"name\":\"code\",\"advanced\":false,\"type\":\"code\",\"list\":false,\"proxy\":{\"id\":\"CustomComponent-whsQ5\",\"field\":\"code\"},\"display_name\":\"Code\"}},\"flow\":{\"data\":{\"nodes\":[{\"width\":384,\"height\":405,\"id\":\"CustomComponent-f6nOg\",\"type\":\"genericNode\",\"position\":{\"x\":665.2835942536854,\"y\":-371.7823429271119},\"data\":{\"type\":\"CustomComponent\",\"node\":{\"template\":{\"code\":{\"dynamic\":true,\"required\":true,\"placeholder\":\"\",\"show\":true,\"multiline\":true,\"value\":\"from langflow import CustomComponent\\nfrom langflow.field_typing import Data\\nimport html2text\\n\\nclass ConvertHTMLToMarkdown(CustomComponent):\\n display_name: str = \\\"HTML to Markdown\\\"\\n description: str = \\\"Converts HTML content to Markdown format.\\\"\\n\\n def build(self, html_content: Data, ignore_links: bool = False) -> str:\\n converter = html2text.HTML2Text()\\n converter.ignore_links = ignore_links\\n markdown_text = converter.handle(html_content)\\n self.status = markdown_text\\n return markdown_text\\n\",\"password\":false,\"name\":\"code\",\"advanced\":false,\"type\":\"code\",\"list\":false},\"_type\":\"CustomComponent\",\"html_content\":{\"required\":true,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"password\":false,\"name\":\"html_content\",\"display_name\":\"html_content\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"Data\",\"list\":false},\"ignore_links\":{\"required\":true,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"value\":false,\"password\":false,\"name\":\"ignore_links\",\"display_name\":\"ignore_links\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"bool\",\"list\":false}},\"description\":\"Converts HTML content to Markdown format.\",\"base_classes\":[\"str\"],\"display_name\":\"HTML to Markdown\",\"custom_fields\":{\"html_content\":null,\"ignore_links\":null},\"output_types\":[\"str\"],\"documentation\":\"\",\"beta\":true,\"error\":null},\"id\":\"CustomComponent-f6nOg\"},\"selected\":true,\"positionAbsolute\":{\"x\":665.2835942536854,\"y\":-371.7823429271119},\"dragging\":false},{\"width\":384,\"height\":375,\"id\":\"CustomComponent-FGzJJ\",\"type\":\"genericNode\",\"position\":{\"x\":-464.4553400967736,\"y\":-225.62715888255525},\"data\":{\"type\":\"CustomComponent\",\"node\":{\"template\":{\"code\":{\"dynamic\":true,\"required\":true,\"placeholder\":\"\",\"show\":true,\"multiline\":true,\"value\":\"from langflow import CustomComponent\\nfrom langflow.field_typing import Data\\nimport requests\\n\\nclass FetchHTMLContent(CustomComponent):\\n display_name: str = \\\"Fetch HTML\\\"\\n description: str = \\\"Fetches HTML content from a specified URL.\\\"\\n \\n def build_config(self):\\n return {\\\"url\\\": {\\\"input_types\\\": [\\\"Data\\\", \\\"str\\\"]}} \\n\\n def build(self, url: str) -> Data:\\n response = requests.get(url)\\n self.status = str(response) + \\\"\\\\n\\\\n\\\" + response.text\\n return response.text\\n\",\"password\":false,\"name\":\"code\",\"advanced\":false,\"type\":\"code\",\"list\":false},\"_type\":\"CustomComponent\",\"url\":{\"required\":true,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"password\":false,\"name\":\"url\",\"display_name\":\"url\",\"advanced\":false,\"input_types\":[\"Data\",\"str\"],\"dynamic\":false,\"info\":\"\",\"type\":\"str\",\"list\":false,\"value\":\"\"}},\"description\":\"Fetches HTML content from a specified URL.\",\"base_classes\":[\"Data\"],\"display_name\":\"Fetch HTML\",\"custom_fields\":{\"url\":null},\"output_types\":[\"Data\"],\"documentation\":\"\",\"beta\":true,\"error\":null},\"id\":\"CustomComponent-FGzJJ\"},\"selected\":true,\"dragging\":false,\"positionAbsolute\":{\"x\":-464.4553400967736,\"y\":-225.62715888255525}},{\"width\":384,\"height\":329,\"id\":\"CustomComponent-0XtUN\",\"type\":\"genericNode\",\"position\":{\"x\":214.00059169497604,\"y\":177.27071061129823},\"data\":{\"type\":\"CustomComponent\",\"node\":{\"template\":{\"code\":{\"dynamic\":true,\"required\":true,\"placeholder\":\"\",\"show\":true,\"multiline\":true,\"value\":\"from bs4 import BeautifulSoup\\nfrom langflow import CustomComponent\\nfrom langflow.field_typing import Data\\n\\nclass ParseHTMLContent(CustomComponent):\\n display_name: str = \\\"Parse HTML\\\"\\n description: str = \\\"Parses HTML content using Beautiful Soup.\\\"\\n\\n def build(self, html_content: Data) -> Data:\\n soup = BeautifulSoup(html_content, 'html.parser')\\n self.status = soup\\n return soup\\n\",\"password\":false,\"name\":\"code\",\"advanced\":false,\"type\":\"code\",\"list\":false},\"_type\":\"CustomComponent\",\"html_content\":{\"required\":true,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"password\":false,\"name\":\"html_content\",\"display_name\":\"html_content\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"Data\",\"list\":false}},\"description\":\"Parses HTML content using Beautiful Soup.\",\"base_classes\":[\"Data\"],\"display_name\":\"Parse HTML\",\"custom_fields\":{\"html_content\":null},\"output_types\":[\"Data\"],\"documentation\":\"\",\"beta\":true,\"error\":null},\"id\":\"CustomComponent-0XtUN\"},\"selected\":true,\"dragging\":false,\"positionAbsolute\":{\"x\":214.00059169497604,\"y\":177.27071061129823}},{\"width\":384,\"height\":329,\"id\":\"CustomComponent-ODIcp\",\"type\":\"genericNode\",\"position\":{\"x\":845.0502195222412,\"y\":366.54344452019404},\"data\":{\"type\":\"CustomComponent\",\"node\":{\"template\":{\"code\":{\"dynamic\":true,\"required\":true,\"placeholder\":\"\",\"show\":true,\"multiline\":true,\"value\":\"from langflow import CustomComponent\\nfrom langflow.field_typing import Data\\n\\nclass ExtractHyperlinks(CustomComponent):\\n display_name: str = \\\"Extract Hyperlinks\\\"\\n description: str = \\\"Extracts hyperlinks from parsed HTML content.\\\"\\n\\n def build(self, soup: Data) -> list:\\n links = [link.get('href') for link in soup.find_all('a')]\\n self.status = links\\n return links\\n\",\"password\":false,\"name\":\"code\",\"advanced\":false,\"type\":\"code\",\"list\":false},\"_type\":\"CustomComponent\",\"soup\":{\"required\":true,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"password\":false,\"name\":\"soup\",\"display_name\":\"soup\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"Data\",\"list\":false}},\"description\":\"Extracts hyperlinks from parsed HTML content.\",\"base_classes\":[\"list\"],\"display_name\":\"Extract Hyperlinks\",\"custom_fields\":{\"soup\":null},\"output_types\":[\"list\"],\"documentation\":\"\",\"beta\":true,\"error\":null},\"id\":\"CustomComponent-ODIcp\"},\"selected\":true,\"positionAbsolute\":{\"x\":845.0502195222412,\"y\":366.54344452019404},\"dragging\":false},{\"width\":384,\"height\":657,\"id\":\"PromptTemplate-H9Udy\",\"type\":\"genericNode\",\"position\":{\"x\":2230.389721706283,\"y\":584.4905083765256},\"data\":{\"type\":\"PromptTemplate\",\"node\":{\"template\":{\"output_parser\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"password\":false,\"name\":\"output_parser\",\"advanced\":false,\"dynamic\":true,\"info\":\"\",\"type\":\"BaseOutputParser\",\"list\":false},\"input_types\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"password\":false,\"name\":\"input_types\",\"advanced\":false,\"dynamic\":true,\"info\":\"\",\"type\":\"dict\",\"list\":false},\"input_variables\":{\"required\":true,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"password\":false,\"name\":\"input_variables\",\"advanced\":false,\"dynamic\":true,\"info\":\"\",\"type\":\"str\",\"list\":true,\"value\":[\"url\",\"html_markdown\",\"html_links\",\"query\"]},\"partial_variables\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"password\":false,\"name\":\"partial_variables\",\"advanced\":false,\"dynamic\":true,\"info\":\"\",\"type\":\"dict\",\"list\":false},\"template\":{\"required\":true,\"placeholder\":\"\",\"show\":true,\"multiline\":true,\"password\":false,\"name\":\"template\",\"advanced\":false,\"dynamic\":true,\"info\":\"\",\"type\":\"prompt\",\"list\":false,\"value\":\"Below is the HTML content (as markdown) and hyperlinks extracted from {url}\\n\\n---\\n\\nContent:\\n\\n{html_markdown}\\n\\n---\\n\\nLinks:\\n\\n{html_links}\\n\\n---\\n\\nAnswer the user query as best as possible.\\n\\nUser query:\\n\\n{query}\\n\\nAnswer:\\n\"},\"template_format\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"value\":\"f-string\",\"password\":false,\"name\":\"template_format\",\"advanced\":false,\"dynamic\":true,\"info\":\"\",\"type\":\"str\",\"list\":false},\"validate_template\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"value\":false,\"password\":false,\"name\":\"validate_template\",\"advanced\":false,\"dynamic\":true,\"info\":\"\",\"type\":\"bool\",\"list\":false},\"_type\":\"PromptTemplate\",\"url\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":true,\"value\":\"\",\"password\":false,\"name\":\"url\",\"display_name\":\"url\",\"advanced\":false,\"input_types\":[\"Document\",\"BaseOutputParser\"],\"dynamic\":false,\"info\":\"\",\"type\":\"str\",\"list\":false},\"html_markdown\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":true,\"value\":\"\",\"password\":false,\"name\":\"html_markdown\",\"display_name\":\"html_markdown\",\"advanced\":false,\"input_types\":[\"Document\",\"BaseOutputParser\"],\"dynamic\":false,\"info\":\"\",\"type\":\"str\",\"list\":false},\"html_links\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":true,\"value\":\"\",\"password\":false,\"name\":\"html_links\",\"display_name\":\"html_links\",\"advanced\":false,\"input_types\":[\"Document\",\"BaseOutputParser\"],\"dynamic\":false,\"info\":\"\",\"type\":\"str\",\"list\":false},\"query\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":true,\"value\":\"\",\"password\":false,\"name\":\"query\",\"display_name\":\"query\",\"advanced\":false,\"input_types\":[\"Document\",\"BaseOutputParser\"],\"dynamic\":false,\"info\":\"\",\"type\":\"str\",\"list\":false}},\"description\":\"A prompt template for a language model.\",\"base_classes\":[\"StringPromptTemplate\",\"BasePromptTemplate\",\"PromptTemplate\"],\"name\":\"\",\"display_name\":\"PromptTemplate\",\"documentation\":\"https://python.langchain.com/docs/modules/model_io/prompts/prompt_templates/\",\"custom_fields\":{\"\":[\"url\",\"html_markdown\",\"html_links\",\"query\"]},\"output_types\":[],\"full_path\":null,\"field_formatters\":{},\"beta\":false,\"error\":null},\"id\":\"PromptTemplate-H9Udy\"},\"selected\":true,\"positionAbsolute\":{\"x\":2230.389721706283,\"y\":584.4905083765256},\"dragging\":false},{\"width\":384,\"height\":347,\"id\":\"CustomComponent-OACE0\",\"type\":\"genericNode\",\"position\":{\"x\":-1155.9497945157625,\"y\":198.13583204151553},\"data\":{\"type\":\"CustomComponent\",\"node\":{\"template\":{\"code\":{\"dynamic\":true,\"required\":true,\"placeholder\":\"\",\"show\":true,\"multiline\":true,\"value\":\"from langflow import CustomComponent\\nfrom langflow.field_typing import Data\\nimport requests\\n\\nclass FetchHTMLContent(CustomComponent):\\n display_name: str = \\\"URL Input\\\"\\n\\n def build(self, url: str) -> str:\\n return url\\n\",\"password\":false,\"name\":\"code\",\"advanced\":false,\"type\":\"code\",\"list\":false},\"_type\":\"CustomComponent\",\"url\":{\"required\":true,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"password\":false,\"name\":\"url\",\"display_name\":\"url\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"str\",\"list\":false}},\"description\":null,\"base_classes\":[\"str\"],\"display_name\":\"URL Input\",\"custom_fields\":{\"url\":null},\"output_types\":[\"str\"],\"documentation\":\"\",\"beta\":true,\"error\":null},\"id\":\"CustomComponent-OACE0\"},\"selected\":true,\"positionAbsolute\":{\"x\":-1155.9497945157625,\"y\":198.13583204151553},\"dragging\":false},{\"width\":384,\"height\":329,\"id\":\"CustomComponent-whsQ5\",\"type\":\"genericNode\",\"position\":{\"x\":1396.5574076376327,\"y\":694.8308714574463},\"data\":{\"type\":\"CustomComponent\",\"node\":{\"template\":{\"code\":{\"dynamic\":true,\"required\":true,\"placeholder\":\"\",\"show\":true,\"multiline\":true,\"value\":\"from langflow import CustomComponent\\n\\nclass ListToMarkdownBullets(CustomComponent):\\n display_name: str = \\\"List to Bullets\\\"\\n description: str = \\\"Converts a Python list into Markdown bullet points.\\\"\\n\\n def build(self, items: list) -> str:\\n markdown_bullets = '\\\\n'.join(f'* {item}' for item in items)\\n return markdown_bullets\\n\",\"password\":false,\"name\":\"code\",\"advanced\":false,\"type\":\"code\",\"list\":false},\"_type\":\"CustomComponent\",\"items\":{\"required\":true,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"password\":false,\"name\":\"items\",\"display_name\":\"items\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"list\",\"list\":true}},\"description\":\"Converts a Python list into Markdown bullet points.\",\"base_classes\":[\"str\"],\"display_name\":\"List to Bullets\",\"custom_fields\":{\"items\":null},\"output_types\":[\"str\"],\"documentation\":\"\",\"beta\":true,\"error\":null},\"id\":\"CustomComponent-whsQ5\"},\"selected\":true,\"positionAbsolute\":{\"x\":1396.5574076376327,\"y\":694.8308714574463},\"dragging\":false}],\"edges\":[{\"source\":\"CustomComponent-FGzJJ\",\"sourceHandle\":\"{œbaseClassesœ:[œDataœ],œdataTypeœ:œCustomComponentœ,œidœ:œCustomComponent-FGzJJœ}\",\"target\":\"CustomComponent-f6nOg\",\"targetHandle\":\"{œfieldNameœ:œhtml_contentœ,œidœ:œCustomComponent-f6nOgœ,œinputTypesœ:null,œtypeœ:œDataœ}\",\"data\":{\"targetHandle\":{\"fieldName\":\"html_content\",\"id\":\"CustomComponent-f6nOg\",\"inputTypes\":null,\"type\":\"Data\"},\"sourceHandle\":{\"baseClasses\":[\"Data\"],\"dataType\":\"CustomComponent\",\"id\":\"CustomComponent-FGzJJ\"}},\"style\":{\"stroke\":\"#555\"},\"className\":\"stroke-foreground stroke-connection\",\"animated\":false,\"id\":\"reactflow__edge-CustomComponent-FGzJJ{œbaseClassesœ:[œDataœ],œdataTypeœ:œCustomComponentœ,œidœ:œCustomComponent-FGzJJœ}-CustomComponent-f6nOg{œfieldNameœ:œhtml_contentœ,œidœ:œCustomComponent-f6nOgœ,œinputTypesœ:null,œtypeœ:œDataœ}\",\"selected\":true},{\"source\":\"CustomComponent-FGzJJ\",\"sourceHandle\":\"{œbaseClassesœ:[œDataœ],œdataTypeœ:œCustomComponentœ,œidœ:œCustomComponent-FGzJJœ}\",\"target\":\"CustomComponent-0XtUN\",\"targetHandle\":\"{œfieldNameœ:œhtml_contentœ,œidœ:œCustomComponent-0XtUNœ,œinputTypesœ:null,œtypeœ:œDataœ}\",\"data\":{\"targetHandle\":{\"fieldName\":\"html_content\",\"id\":\"CustomComponent-0XtUN\",\"inputTypes\":null,\"type\":\"Data\"},\"sourceHandle\":{\"baseClasses\":[\"Data\"],\"dataType\":\"CustomComponent\",\"id\":\"CustomComponent-FGzJJ\"}},\"style\":{\"stroke\":\"#555\"},\"className\":\"stroke-foreground stroke-connection\",\"animated\":false,\"id\":\"reactflow__edge-CustomComponent-FGzJJ{œbaseClassesœ:[œDataœ],œdataTypeœ:œCustomComponentœ,œidœ:œCustomComponent-FGzJJœ}-CustomComponent-0XtUN{œfieldNameœ:œhtml_contentœ,œidœ:œCustomComponent-0XtUNœ,œinputTypesœ:null,œtypeœ:œDataœ}\",\"selected\":true},{\"source\":\"CustomComponent-0XtUN\",\"sourceHandle\":\"{œbaseClassesœ:[œDataœ],œdataTypeœ:œCustomComponentœ,œidœ:œCustomComponent-0XtUNœ}\",\"target\":\"CustomComponent-ODIcp\",\"targetHandle\":\"{œfieldNameœ:œsoupœ,œidœ:œCustomComponent-ODIcpœ,œinputTypesœ:null,œtypeœ:œDataœ}\",\"data\":{\"targetHandle\":{\"fieldName\":\"soup\",\"id\":\"CustomComponent-ODIcp\",\"inputTypes\":null,\"type\":\"Data\"},\"sourceHandle\":{\"baseClasses\":[\"Data\"],\"dataType\":\"CustomComponent\",\"id\":\"CustomComponent-0XtUN\"}},\"style\":{\"stroke\":\"#555\"},\"className\":\"stroke-foreground stroke-connection\",\"animated\":false,\"id\":\"reactflow__edge-CustomComponent-0XtUN{œbaseClassesœ:[œDataœ],œdataTypeœ:œCustomComponentœ,œidœ:œCustomComponent-0XtUNœ}-CustomComponent-ODIcp{œfieldNameœ:œsoupœ,œidœ:œCustomComponent-ODIcpœ,œinputTypesœ:null,œtypeœ:œDataœ}\",\"selected\":true},{\"source\":\"CustomComponent-OACE0\",\"sourceHandle\":\"{œbaseClassesœ:[œstrœ],œdataTypeœ:œCustomComponentœ,œidœ:œCustomComponent-OACE0œ}\",\"target\":\"CustomComponent-FGzJJ\",\"targetHandle\":\"{œfieldNameœ:œurlœ,œidœ:œCustomComponent-FGzJJœ,œinputTypesœ:[œDataœ,œstrœ],œtypeœ:œstrœ}\",\"data\":{\"targetHandle\":{\"fieldName\":\"url\",\"id\":\"CustomComponent-FGzJJ\",\"inputTypes\":[\"Data\",\"str\"],\"type\":\"str\"},\"sourceHandle\":{\"baseClasses\":[\"str\"],\"dataType\":\"CustomComponent\",\"id\":\"CustomComponent-OACE0\"}},\"style\":{\"stroke\":\"#555\"},\"className\":\"stroke-foreground stroke-connection\",\"animated\":false,\"id\":\"reactflow__edge-CustomComponent-OACE0{œbaseClassesœ:[œstrœ],œdataTypeœ:œCustomComponentœ,œidœ:œCustomComponent-OACE0œ}-CustomComponent-FGzJJ{œfieldNameœ:œurlœ,œidœ:œCustomComponent-FGzJJœ,œinputTypesœ:[œDataœ,œstrœ],œtypeœ:œstrœ}\",\"selected\":true},{\"source\":\"CustomComponent-OACE0\",\"sourceHandle\":\"{œbaseClassesœ:[œstrœ],œdataTypeœ:œCustomComponentœ,œidœ:œCustomComponent-OACE0œ}\",\"target\":\"PromptTemplate-H9Udy\",\"targetHandle\":\"{œfieldNameœ:œurlœ,œidœ:œPromptTemplate-H9Udyœ,œinputTypesœ:[œDocumentœ,œBaseOutputParserœ],œtypeœ:œstrœ}\",\"data\":{\"targetHandle\":{\"fieldName\":\"url\",\"id\":\"PromptTemplate-H9Udy\",\"inputTypes\":[\"Document\",\"BaseOutputParser\"],\"type\":\"str\"},\"sourceHandle\":{\"baseClasses\":[\"str\"],\"dataType\":\"CustomComponent\",\"id\":\"CustomComponent-OACE0\"}},\"style\":{\"stroke\":\"#555\"},\"className\":\"stroke-foreground stroke-connection\",\"animated\":false,\"id\":\"reactflow__edge-CustomComponent-OACE0{œbaseClassesœ:[œstrœ],œdataTypeœ:œCustomComponentœ,œidœ:œCustomComponent-OACE0œ}-PromptTemplate-H9Udy{œfieldNameœ:œurlœ,œidœ:œPromptTemplate-H9Udyœ,œinputTypesœ:[œDocumentœ,œBaseOutputParserœ],œtypeœ:œstrœ}\",\"selected\":true},{\"source\":\"CustomComponent-ODIcp\",\"sourceHandle\":\"{œbaseClassesœ:[œlistœ],œdataTypeœ:œCustomComponentœ,œidœ:œCustomComponent-ODIcpœ}\",\"target\":\"CustomComponent-whsQ5\",\"targetHandle\":\"{œfieldNameœ:œitemsœ,œidœ:œCustomComponent-whsQ5œ,œinputTypesœ:null,œtypeœ:œlistœ}\",\"data\":{\"targetHandle\":{\"fieldName\":\"items\",\"id\":\"CustomComponent-whsQ5\",\"inputTypes\":null,\"type\":\"list\"},\"sourceHandle\":{\"baseClasses\":[\"list\"],\"dataType\":\"CustomComponent\",\"id\":\"CustomComponent-ODIcp\"}},\"style\":{\"stroke\":\"#555\"},\"className\":\"stroke-foreground stroke-connection\",\"animated\":false,\"id\":\"reactflow__edge-CustomComponent-ODIcp{œbaseClassesœ:[œlistœ],œdataTypeœ:œCustomComponentœ,œidœ:œCustomComponent-ODIcpœ}-CustomComponent-whsQ5{œfieldNameœ:œitemsœ,œidœ:œCustomComponent-whsQ5œ,œinputTypesœ:null,œtypeœ:œlistœ}\",\"selected\":true},{\"source\":\"CustomComponent-whsQ5\",\"sourceHandle\":\"{œbaseClassesœ:[œstrœ],œdataTypeœ:œCustomComponentœ,œidœ:œCustomComponent-whsQ5œ}\",\"target\":\"PromptTemplate-H9Udy\",\"targetHandle\":\"{œfieldNameœ:œhtml_linksœ,œidœ:œPromptTemplate-H9Udyœ,œinputTypesœ:[œDocumentœ,œBaseOutputParserœ],œtypeœ:œstrœ}\",\"data\":{\"targetHandle\":{\"fieldName\":\"html_links\",\"id\":\"PromptTemplate-H9Udy\",\"inputTypes\":[\"Document\",\"BaseOutputParser\"],\"type\":\"str\"},\"sourceHandle\":{\"baseClasses\":[\"str\"],\"dataType\":\"CustomComponent\",\"id\":\"CustomComponent-whsQ5\"}},\"style\":{\"stroke\":\"#555\"},\"className\":\"stroke-foreground stroke-connection\",\"animated\":false,\"id\":\"reactflow__edge-CustomComponent-whsQ5{œbaseClassesœ:[œstrœ],œdataTypeœ:œCustomComponentœ,œidœ:œCustomComponent-whsQ5œ}-PromptTemplate-H9Udy{œfieldNameœ:œhtml_linksœ,œidœ:œPromptTemplate-H9Udyœ,œinputTypesœ:[œDocumentœ,œBaseOutputParserœ],œtypeœ:œstrœ}\",\"selected\":true},{\"source\":\"CustomComponent-f6nOg\",\"sourceHandle\":\"{œbaseClassesœ:[œstrœ],œdataTypeœ:œCustomComponentœ,œidœ:œCustomComponent-f6nOgœ}\",\"target\":\"PromptTemplate-H9Udy\",\"targetHandle\":\"{œfieldNameœ:œhtml_markdownœ,œidœ:œPromptTemplate-H9Udyœ,œinputTypesœ:[œDocumentœ,œBaseOutputParserœ],œtypeœ:œstrœ}\",\"data\":{\"targetHandle\":{\"fieldName\":\"html_markdown\",\"id\":\"PromptTemplate-H9Udy\",\"inputTypes\":[\"Document\",\"BaseOutputParser\"],\"type\":\"str\"},\"sourceHandle\":{\"baseClasses\":[\"str\"],\"dataType\":\"CustomComponent\",\"id\":\"CustomComponent-f6nOg\"}},\"style\":{\"stroke\":\"#555\"},\"className\":\"stroke-foreground stroke-connection\",\"animated\":false,\"id\":\"reactflow__edge-CustomComponent-f6nOg{œbaseClassesœ:[œstrœ],œdataTypeœ:œCustomComponentœ,œidœ:œCustomComponent-f6nOgœ}-PromptTemplate-H9Udy{œfieldNameœ:œhtml_markdownœ,œidœ:œPromptTemplate-H9Udyœ,œinputTypesœ:[œDocumentœ,œBaseOutputParserœ],œtypeœ:œstrœ}\",\"selected\":true}],\"viewport\":{\"x\":343.0346131188585,\"y\":341.89843948642147,\"zoom\":0.24148408223121196}},\"is_component\":false,\"name\":\"Fluffy Ptolemy\",\"description\":\"\",\"id\":\"W5oNW\"}}},\"selected\":false,\"positionAbsolute\":{\"x\":-222,\"y\":682.560723386973}}],\"edges\":[{\"source\":\"ChatOpenAI-NTTcv\",\"target\":\"LLMChain-RQsU1\",\"sourceHandle\":\"{œbaseClassesœ:[œBaseLanguageModelœ,œChatOpenAIœ,œBaseChatModelœ,œBaseLLMœ],œdataTypeœ:œChatOpenAIœ,œidœ:œChatOpenAI-NTTcvœ}\",\"targetHandle\":\"{œfieldNameœ:œllmœ,œidœ:œLLMChain-RQsU1œ,œinputTypesœ:null,œtypeœ:œBaseLanguageModelœ}\",\"id\":\"reactflow__edge-ChatOpenAI-NTTcv{œbaseClassesœ:[œBaseLanguageModelœ,œChatOpenAIœ,œBaseChatModelœ,œBaseLLMœ],œdataTypeœ:œChatOpenAIœ,œidœ:œChatOpenAI-NTTcvœ}-LLMChain-RQsU1{œfieldNameœ:œllmœ,œidœ:œLLMChain-RQsU1œ,œinputTypesœ:null,œtypeœ:œBaseLanguageModelœ}\",\"data\":{\"targetHandle\":{\"fieldName\":\"llm\",\"id\":\"LLMChain-RQsU1\",\"inputTypes\":null,\"type\":\"BaseLanguageModel\"},\"sourceHandle\":{\"baseClasses\":[\"BaseLanguageModel\",\"ChatOpenAI\",\"BaseChatModel\",\"BaseLLM\"],\"dataType\":\"ChatOpenAI\",\"id\":\"ChatOpenAI-NTTcv\"}},\"style\":{\"stroke\":\"#555\"},\"className\":\"stroke-gray-900 \",\"animated\":false,\"selected\":false},{\"source\":\"PromptTemplate-VELMV\",\"target\":\"LLMChain-RQsU1\",\"sourceHandle\":\"{œbaseClassesœ:[œStringPromptTemplateœ,œBasePromptTemplateœ,œPromptTemplateœ],œdataTypeœ:œPromptTemplateœ,œidœ:œPromptTemplate-VELMVœ}\",\"targetHandle\":\"{œfieldNameœ:œpromptœ,œidœ:œLLMChain-RQsU1œ,œinputTypesœ:null,œtypeœ:œBasePromptTemplateœ}\",\"id\":\"reactflow__edge-PromptTemplate-VELMV{œbaseClassesœ:[œStringPromptTemplateœ,œBasePromptTemplateœ,œPromptTemplateœ],œdataTypeœ:œPromptTemplateœ,œidœ:œPromptTemplate-VELMVœ}-LLMChain-RQsU1{œfieldNameœ:œpromptœ,œidœ:œLLMChain-RQsU1œ,œinputTypesœ:null,œtypeœ:œBasePromptTemplateœ}\",\"data\":{\"targetHandle\":{\"fieldName\":\"prompt\",\"id\":\"LLMChain-RQsU1\",\"inputTypes\":null,\"type\":\"BasePromptTemplate\"},\"sourceHandle\":{\"baseClasses\":[\"StringPromptTemplate\",\"BasePromptTemplate\",\"PromptTemplate\"],\"dataType\":\"PromptTemplate\",\"id\":\"PromptTemplate-VELMV\"}},\"style\":{\"stroke\":\"#555\"},\"className\":\"stroke-gray-900 \",\"animated\":false,\"selected\":false}],\"viewport\":{\"x\":298.29888454238517,\"y\":96.95765543775741,\"zoom\":0.5140569133280332}},\"is_component\":false,\"updated_at\":\"2023-12-04T23:23:08.584967\",\"folder\":null,\"id\":\"5df79f1d-f592-4d59-8c0f-9f3c2f6465b1\",\"user_id\":\"d253bfba-6368-44dc-85f7-0d6da9e45968\"},{\"name\":\"Silly Pasteur\",\"description\":\"Nurture NLP Nodes Here.\",\"data\":{\"nodes\":[{\"width\":384,\"height\":338,\"id\":\"LLMChain-cHel8\",\"type\":\"genericNode\",\"position\":{\"x\":547.3876889720291,\"y\":299.2057833881307},\"data\":{\"type\":\"LLMChain\",\"node\":{\"template\":{\"code\":{\"dynamic\":true,\"required\":true,\"placeholder\":\"\",\"show\":false,\"multiline\":true,\"value\":\"from typing import Callable, Optional, Union\\n\\nfrom langchain.chains import LLMChain\\n\\nfrom langflow import CustomComponent\\nfrom langflow.field_typing import (\\n BaseLanguageModel,\\n BaseMemory,\\n BasePromptTemplate,\\n Chain,\\n)\\n\\n\\nclass LLMChainComponent(CustomComponent):\\n display_name = \\\"LLMChain\\\"\\n description = \\\"Chain to run queries against LLMs\\\"\\n\\n def build_config(self):\\n return {\\n \\\"prompt\\\": {\\\"display_name\\\": \\\"Prompt\\\"},\\n \\\"llm\\\": {\\\"display_name\\\": \\\"LLM\\\"},\\n \\\"memory\\\": {\\\"display_name\\\": \\\"Memory\\\"},\\n \\\"code\\\": {\\\"show\\\": False},\\n }\\n\\n def build(\\n self,\\n prompt: BasePromptTemplate,\\n llm: BaseLanguageModel,\\n memory: Optional[BaseMemory] = None,\\n ) -> Union[Chain, Callable]:\\n return LLMChain(prompt=prompt, llm=llm, memory=memory)\\n\",\"password\":false,\"name\":\"code\",\"advanced\":false,\"type\":\"code\",\"list\":false},\"_type\":\"CustomComponent\",\"llm\":{\"required\":true,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"password\":false,\"name\":\"llm\",\"display_name\":\"LLM\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"BaseLanguageModel\",\"list\":false},\"memory\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"password\":false,\"name\":\"memory\",\"display_name\":\"Memory\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"BaseMemory\",\"list\":false},\"prompt\":{\"required\":true,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"password\":false,\"name\":\"prompt\",\"display_name\":\"Prompt\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"BasePromptTemplate\",\"list\":false}},\"description\":\"Chain to run queries against LLMs\",\"base_classes\":[\"Chain\",\"Callable\"],\"display_name\":\"LLMChain\",\"custom_fields\":{\"llm\":null,\"memory\":null,\"prompt\":null},\"output_types\":[\"LLMChain\"],\"documentation\":\"\",\"beta\":true,\"error\":null},\"id\":\"LLMChain-cHel8\"},\"selected\":false,\"positionAbsolute\":{\"x\":547.3876889720291,\"y\":299.2057833881307},\"dragging\":false},{\"width\":384,\"height\":626,\"id\":\"ChatOpenAI-LA6y0\",\"type\":\"genericNode\",\"position\":{\"x\":-272.94405331278074,\"y\":-603.148171441675},\"data\":{\"type\":\"ChatOpenAI\",\"node\":{\"template\":{\"callbacks\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"password\":false,\"name\":\"callbacks\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"langchain_core.callbacks.base.BaseCallbackHandler\",\"list\":true},\"async_client\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"password\":false,\"name\":\"async_client\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"Any\",\"list\":false},\"cache\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"password\":false,\"name\":\"cache\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"bool\",\"list\":false},\"client\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"password\":false,\"name\":\"client\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"Any\",\"list\":false},\"default_headers\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"password\":false,\"name\":\"default_headers\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"dict\",\"list\":false},\"default_query\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"password\":false,\"name\":\"default_query\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"dict\",\"list\":false},\"http_client\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"password\":false,\"name\":\"http_client\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"Any\",\"list\":false},\"max_retries\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"value\":2,\"password\":false,\"name\":\"max_retries\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"int\",\"list\":false},\"max_tokens\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"password\":true,\"name\":\"max_tokens\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"int\",\"list\":false},\"metadata\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"password\":false,\"name\":\"metadata\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"dict\",\"list\":false},\"model_kwargs\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"password\":false,\"name\":\"model_kwargs\",\"advanced\":true,\"dynamic\":false,\"info\":\"\",\"type\":\"dict\",\"list\":false},\"model_name\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"value\":\"gpt-4-1106-preview\",\"password\":false,\"options\":[\"gpt-4-1106-preview\",\"gpt-4\",\"gpt-4-32k\",\"gpt-3.5-turbo\",\"gpt-3.5-turbo-16k\"],\"name\":\"model_name\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"str\",\"list\":true},\"n\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"value\":1,\"password\":false,\"name\":\"n\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"int\",\"list\":false},\"openai_api_base\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"password\":false,\"name\":\"openai_api_base\",\"display_name\":\"OpenAI API Base\",\"advanced\":false,\"dynamic\":false,\"info\":\"\\nThe base URL of the OpenAI API. Defaults to https://api.openai.com/v1.\\n\\nYou can change this to use other APIs like JinaChat, LocalAI and Prem.\\n\",\"type\":\"str\",\"list\":false},\"openai_api_key\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"value\":\"sk-...\",\"password\":true,\"name\":\"openai_api_key\",\"display_name\":\"OpenAI API Key\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"str\",\"list\":false},\"openai_organization\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"password\":false,\"name\":\"openai_organization\",\"display_name\":\"OpenAI Organization\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"str\",\"list\":false},\"openai_proxy\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"password\":false,\"name\":\"openai_proxy\",\"display_name\":\"OpenAI Proxy\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"str\",\"list\":false},\"request_timeout\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"password\":false,\"name\":\"request_timeout\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"float\",\"list\":false},\"streaming\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"value\":false,\"password\":false,\"name\":\"streaming\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"bool\",\"list\":false},\"tags\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"password\":false,\"name\":\"tags\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"str\",\"list\":true},\"temperature\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"value\":\"0.1\",\"password\":false,\"name\":\"temperature\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"float\",\"list\":false},\"tiktoken_model_name\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"password\":false,\"name\":\"tiktoken_model_name\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"str\",\"list\":false},\"verbose\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"value\":false,\"password\":false,\"name\":\"verbose\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"bool\",\"list\":false},\"_type\":\"ChatOpenAI\"},\"description\":\"`OpenAI` Chat large language models API.\",\"base_classes\":[\"BaseLanguageModel\",\"ChatOpenAI\",\"BaseChatModel\",\"BaseLLM\"],\"display_name\":\"ChatOpenAI\",\"custom_fields\":{},\"output_types\":[],\"documentation\":\"https://python.langchain.com/docs/modules/model_io/models/chat/integrations/openai\",\"beta\":false,\"error\":null},\"id\":\"ChatOpenAI-LA6y0\"},\"selected\":false,\"dragging\":false,\"positionAbsolute\":{\"x\":-272.94405331278074,\"y\":-603.148171441675}},{\"width\":384,\"height\":404,\"id\":\"CustomComponent-ZNoRM\",\"type\":\"genericNode\",\"position\":{\"x\":-103.65741264289085,\"y\":134.62332404764658},\"data\":{\"type\":\"CustomComponent\",\"node\":{\"template\":{\"code\":{\"dynamic\":true,\"required\":true,\"placeholder\":\"\",\"show\":true,\"multiline\":true,\"value\":\"from langflow import CustomComponent\\nfrom langflow.field_typing import Data\\nimport html2text\\n\\nclass ConvertHTMLToMarkdown(CustomComponent):\\n display_name: str = \\\"HTML to Markdown\\\"\\n description: str = \\\"Converts HTML content to Markdown format.\\\"\\n\\n def build(self, html_content: Data, ignore_links: bool = False) -> str:\\n converter = html2text.HTML2Text()\\n converter.ignore_links = ignore_links\\n markdown_text = converter.handle(html_content)\\n self.status = markdown_text\\n return markdown_text\\n\",\"password\":false,\"name\":\"code\",\"advanced\":false,\"type\":\"code\",\"list\":false,\"display_name\":\"code\"},\"_type\":\"CustomComponent\",\"html_content\":{\"required\":true,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"password\":false,\"name\":\"html_content\",\"display_name\":\"html_content\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"Data\",\"list\":false},\"ignore_links\":{\"required\":true,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"value\":false,\"password\":false,\"name\":\"ignore_links\",\"display_name\":\"ignore_links\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"bool\",\"list\":false}},\"description\":\"Converts HTML content to Markdown format.\",\"base_classes\":[\"str\"],\"display_name\":\"HTML to Markdown\",\"custom_fields\":{\"html_content\":null,\"ignore_links\":null},\"output_types\":[\"str\"],\"documentation\":\"\",\"beta\":true,\"error\":null},\"id\":\"CustomComponent-ZNoRM\"},\"selected\":false,\"positionAbsolute\":{\"x\":-103.65741264289085,\"y\":134.62332404764658},\"dragging\":false},{\"width\":384,\"height\":374,\"id\":\"CustomComponent-zNSTv\",\"type\":\"genericNode\",\"position\":{\"x\":-1233.3963469933499,\"y\":280.77850809220325},\"data\":{\"type\":\"CustomComponent\",\"node\":{\"template\":{\"code\":{\"dynamic\":true,\"required\":true,\"placeholder\":\"\",\"show\":true,\"multiline\":true,\"value\":\"from langflow import CustomComponent\\nfrom langflow.field_typing import Data\\nimport requests\\n\\nclass FetchHTMLContent(CustomComponent):\\n display_name: str = \\\"Fetch HTML\\\"\\n description: str = \\\"Fetches HTML content from a specified URL.\\\"\\n \\n def build_config(self):\\n return {\\\"url\\\": {\\\"input_types\\\": [\\\"Data\\\", \\\"str\\\"]}} \\n\\n def build(self, url: str) -> Data:\\n response = requests.get(url)\\n self.status = str(response) + \\\"\\\\n\\\\n\\\" + response.text\\n return response.text\\n\",\"password\":false,\"name\":\"code\",\"advanced\":false,\"type\":\"code\",\"list\":false,\"display_name\":\"code\"},\"_type\":\"CustomComponent\",\"url\":{\"required\":true,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"password\":false,\"name\":\"url\",\"display_name\":\"url\",\"advanced\":false,\"input_types\":[\"Data\",\"str\"],\"dynamic\":false,\"info\":\"\",\"type\":\"str\",\"list\":false,\"value\":\"\"}},\"description\":\"Fetches HTML content from a specified URL.\",\"base_classes\":[\"Data\"],\"display_name\":\"Fetch HTML\",\"custom_fields\":{\"url\":null},\"output_types\":[\"Data\"],\"documentation\":\"\",\"beta\":true,\"error\":null},\"id\":\"CustomComponent-zNSTv\"},\"selected\":false,\"dragging\":false,\"positionAbsolute\":{\"x\":-1233.3963469933499,\"y\":280.77850809220325}},{\"width\":384,\"height\":328,\"id\":\"CustomComponent-Ihm2o\",\"type\":\"genericNode\",\"position\":{\"x\":-554.9404152016002,\"y\":683.6763775860567},\"data\":{\"type\":\"CustomComponent\",\"node\":{\"template\":{\"code\":{\"dynamic\":true,\"required\":true,\"placeholder\":\"\",\"show\":true,\"multiline\":true,\"value\":\"from bs4 import BeautifulSoup\\nfrom langflow import CustomComponent\\nfrom langflow.field_typing import Data\\n\\nclass ParseHTMLContent(CustomComponent):\\n display_name: str = \\\"Parse HTML\\\"\\n description: str = \\\"Parses HTML content using Beautiful Soup.\\\"\\n\\n def build(self, html_content: Data) -> Data:\\n soup = BeautifulSoup(html_content, 'html.parser')\\n self.status = soup\\n return soup\\n\",\"password\":false,\"name\":\"code\",\"advanced\":false,\"type\":\"code\",\"list\":false,\"display_name\":\"code\"},\"_type\":\"CustomComponent\",\"html_content\":{\"required\":true,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"password\":false,\"name\":\"html_content\",\"display_name\":\"html_content\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"Data\",\"list\":false}},\"description\":\"Parses HTML content using Beautiful Soup.\",\"base_classes\":[\"Data\"],\"display_name\":\"Parse HTML\",\"custom_fields\":{\"html_content\":null},\"output_types\":[\"Data\"],\"documentation\":\"\",\"beta\":true,\"error\":null},\"id\":\"CustomComponent-Ihm2o\"},\"selected\":false,\"dragging\":false,\"positionAbsolute\":{\"x\":-554.9404152016002,\"y\":683.6763775860567}},{\"width\":384,\"height\":328,\"id\":\"CustomComponent-6ST9l\",\"type\":\"genericNode\",\"position\":{\"x\":76.10921262566495,\"y\":872.9491114949525},\"data\":{\"type\":\"CustomComponent\",\"node\":{\"template\":{\"code\":{\"dynamic\":true,\"required\":true,\"placeholder\":\"\",\"show\":true,\"multiline\":true,\"value\":\"from langflow import CustomComponent\\nfrom langflow.field_typing import Data\\n\\nclass ExtractHyperlinks(CustomComponent):\\n display_name: str = \\\"Extract Hyperlinks\\\"\\n description: str = \\\"Extracts hyperlinks from parsed HTML content.\\\"\\n\\n def build(self, soup: Data) -> list:\\n links = [link.get('href') for link in soup.find_all('a')]\\n self.status = links\\n return links\\n\",\"password\":false,\"name\":\"code\",\"advanced\":false,\"type\":\"code\",\"list\":false,\"display_name\":\"code\"},\"_type\":\"CustomComponent\",\"soup\":{\"required\":true,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"password\":false,\"name\":\"soup\",\"display_name\":\"soup\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"Data\",\"list\":false}},\"description\":\"Extracts hyperlinks from parsed HTML content.\",\"base_classes\":[\"list\"],\"display_name\":\"Extract Hyperlinks\",\"custom_fields\":{\"soup\":null},\"output_types\":[\"list\"],\"documentation\":\"\",\"beta\":true,\"error\":null},\"id\":\"CustomComponent-6ST9l\"},\"selected\":false,\"positionAbsolute\":{\"x\":76.10921262566495,\"y\":872.9491114949525},\"dragging\":false},{\"width\":384,\"height\":654,\"id\":\"PromptTemplate-l35W1\",\"type\":\"genericNode\",\"position\":{\"x\":1461.4487148097069,\"y\":1090.896175351284},\"data\":{\"type\":\"PromptTemplate\",\"node\":{\"template\":{\"output_parser\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"password\":false,\"name\":\"output_parser\",\"advanced\":false,\"dynamic\":true,\"info\":\"\",\"type\":\"BaseOutputParser\",\"list\":false,\"display_name\":\"output_parser\"},\"input_types\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"password\":false,\"name\":\"input_types\",\"advanced\":false,\"dynamic\":true,\"info\":\"\",\"type\":\"dict\",\"list\":false,\"display_name\":\"input_types\"},\"input_variables\":{\"required\":true,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"password\":false,\"name\":\"input_variables\",\"advanced\":false,\"dynamic\":true,\"info\":\"\",\"type\":\"str\",\"list\":true,\"value\":[\"url\",\"html_markdown\",\"html_links\",\"query\"],\"display_name\":\"input_variables\"},\"partial_variables\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"password\":false,\"name\":\"partial_variables\",\"advanced\":false,\"dynamic\":true,\"info\":\"\",\"type\":\"dict\",\"list\":false,\"display_name\":\"partial_variables\"},\"template\":{\"required\":true,\"placeholder\":\"\",\"show\":true,\"multiline\":true,\"password\":false,\"name\":\"template\",\"advanced\":false,\"dynamic\":true,\"info\":\"\",\"type\":\"prompt\",\"list\":false,\"value\":\"Below is the HTML content (as markdown) and hyperlinks extracted from {url}\\n\\n---\\n\\nContent:\\n\\n{html_markdown}\\n\\n---\\n\\nLinks:\\n\\n{html_links}\\n\\n---\\n\\nAnswer the user query as best as possible.\\n\\nUser query:\\n\\n{query}\\n\\nAnswer:\\n\",\"display_name\":\"template\"},\"template_format\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"value\":\"f-string\",\"password\":false,\"name\":\"template_format\",\"advanced\":false,\"dynamic\":true,\"info\":\"\",\"type\":\"str\",\"list\":false,\"display_name\":\"template_format\"},\"validate_template\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"value\":false,\"password\":false,\"name\":\"validate_template\",\"advanced\":false,\"dynamic\":true,\"info\":\"\",\"type\":\"bool\",\"list\":false,\"display_name\":\"validate_template\"},\"_type\":\"PromptTemplate\",\"url\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":true,\"value\":\"\",\"password\":false,\"name\":\"url\",\"display_name\":\"url\",\"advanced\":false,\"input_types\":[\"Document\",\"BaseOutputParser\"],\"dynamic\":false,\"info\":\"\",\"type\":\"str\",\"list\":false},\"html_markdown\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":true,\"value\":\"\",\"password\":false,\"name\":\"html_markdown\",\"display_name\":\"html_markdown\",\"advanced\":false,\"input_types\":[\"Document\",\"BaseOutputParser\"],\"dynamic\":false,\"info\":\"\",\"type\":\"str\",\"list\":false},\"html_links\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":true,\"value\":\"\",\"password\":false,\"name\":\"html_links\",\"display_name\":\"html_links\",\"advanced\":false,\"input_types\":[\"Document\",\"BaseOutputParser\"],\"dynamic\":false,\"info\":\"\",\"type\":\"str\",\"list\":false},\"query\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":true,\"value\":\"\",\"password\":false,\"name\":\"query\",\"display_name\":\"query\",\"advanced\":false,\"input_types\":[\"Document\",\"BaseOutputParser\"],\"dynamic\":false,\"info\":\"\",\"type\":\"str\",\"list\":false}},\"description\":\"A prompt template for a language model.\",\"base_classes\":[\"StringPromptTemplate\",\"BasePromptTemplate\",\"PromptTemplate\"],\"name\":\"\",\"display_name\":\"PromptTemplate\",\"documentation\":\"https://python.langchain.com/docs/modules/model_io/prompts/prompt_templates/\",\"custom_fields\":{\"\":[\"url\",\"html_markdown\",\"html_links\",\"query\"]},\"output_types\":[],\"full_path\":null,\"field_formatters\":{},\"beta\":false,\"error\":null},\"id\":\"PromptTemplate-l35W1\"},\"selected\":false,\"positionAbsolute\":{\"x\":1461.4487148097069,\"y\":1090.896175351284},\"dragging\":false},{\"width\":384,\"height\":346,\"id\":\"CustomComponent-iTLf4\",\"type\":\"genericNode\",\"position\":{\"x\":-1924.8908014123388,\"y\":704.5414990162741},\"data\":{\"type\":\"CustomComponent\",\"node\":{\"template\":{\"code\":{\"dynamic\":true,\"required\":true,\"placeholder\":\"\",\"show\":true,\"multiline\":true,\"value\":\"from langflow import CustomComponent\\nfrom langflow.field_typing import Data\\nimport requests\\n\\nclass FetchHTMLContent(CustomComponent):\\n display_name: str = \\\"URL Input\\\"\\n\\n def build(self, url: str) -> str:\\n return url\\n\",\"password\":false,\"name\":\"code\",\"advanced\":false,\"type\":\"code\",\"list\":false,\"display_name\":\"code\"},\"_type\":\"CustomComponent\",\"url\":{\"required\":true,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"password\":false,\"name\":\"url\",\"display_name\":\"url\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"str\",\"list\":false,\"value\":\"https://paperswithcode.com/\"}},\"description\":null,\"base_classes\":[\"str\"],\"display_name\":\"URL Input\",\"custom_fields\":{\"url\":null},\"output_types\":[\"str\"],\"documentation\":\"\",\"beta\":true,\"error\":null},\"id\":\"CustomComponent-iTLf4\"},\"selected\":false,\"positionAbsolute\":{\"x\":-1924.8908014123388,\"y\":704.5414990162741},\"dragging\":false},{\"width\":384,\"height\":328,\"id\":\"CustomComponent-jWLUz\",\"type\":\"genericNode\",\"position\":{\"x\":627.6164007410564,\"y\":1201.2365384322047},\"data\":{\"type\":\"CustomComponent\",\"node\":{\"template\":{\"code\":{\"dynamic\":true,\"required\":true,\"placeholder\":\"\",\"show\":true,\"multiline\":true,\"value\":\"from langflow import CustomComponent\\n\\nclass ListToMarkdownBullets(CustomComponent):\\n display_name: str = \\\"List to Bullets\\\"\\n description: str = \\\"Converts a Python list into Markdown bullet points.\\\"\\n\\n def build(self, items: list) -> str:\\n markdown_bullets = '\\\\n'.join(f'* {item}' for item in items)\\n return markdown_bullets\\n\",\"password\":false,\"name\":\"code\",\"advanced\":false,\"type\":\"code\",\"list\":false,\"display_name\":\"code\"},\"_type\":\"CustomComponent\",\"items\":{\"required\":true,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"password\":false,\"name\":\"items\",\"display_name\":\"items\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"list\",\"list\":true}},\"description\":\"Converts a Python list into Markdown bullet points.\",\"base_classes\":[\"str\"],\"display_name\":\"List to Bullets\",\"custom_fields\":{\"items\":null},\"output_types\":[\"str\"],\"documentation\":\"\",\"beta\":true,\"error\":null},\"id\":\"CustomComponent-jWLUz\"},\"selected\":false,\"positionAbsolute\":{\"x\":627.6164007410564,\"y\":1201.2365384322047},\"dragging\":false}],\"edges\":[{\"source\":\"ChatOpenAI-LA6y0\",\"target\":\"LLMChain-cHel8\",\"sourceHandle\":\"{œbaseClassesœ:[œBaseLanguageModelœ,œChatOpenAIœ,œBaseChatModelœ,œBaseLLMœ],œdataTypeœ:œChatOpenAIœ,œidœ:œChatOpenAI-LA6y0œ}\",\"targetHandle\":\"{œfieldNameœ:œllmœ,œidœ:œLLMChain-cHel8œ,œinputTypesœ:null,œtypeœ:œBaseLanguageModelœ}\",\"id\":\"reactflow__edge-ChatOpenAI-LA6y0{œbaseClassesœ:[œBaseLanguageModelœ,œChatOpenAIœ,œBaseChatModelœ,œBaseLLMœ],œdataTypeœ:œChatOpenAIœ,œidœ:œChatOpenAI-LA6y0œ}-LLMChain-cHel8{œfieldNameœ:œllmœ,œidœ:œLLMChain-cHel8œ,œinputTypesœ:null,œtypeœ:œBaseLanguageModelœ}\",\"data\":{\"targetHandle\":{\"fieldName\":\"llm\",\"id\":\"LLMChain-cHel8\",\"inputTypes\":null,\"type\":\"BaseLanguageModel\"},\"sourceHandle\":{\"baseClasses\":[\"BaseLanguageModel\",\"ChatOpenAI\",\"BaseChatModel\",\"BaseLLM\"],\"dataType\":\"ChatOpenAI\",\"id\":\"ChatOpenAI-LA6y0\"}},\"style\":{\"stroke\":\"#555\"},\"className\":\"stroke-gray-900 stroke-connection\",\"animated\":false,\"selected\":false},{\"source\":\"CustomComponent-zNSTv\",\"sourceHandle\":\"{œbaseClassesœ:[œDataœ],œdataTypeœ:œCustomComponentœ,œidœ:œCustomComponent-zNSTvœ}\",\"target\":\"CustomComponent-ZNoRM\",\"targetHandle\":\"{œfieldNameœ:œhtml_contentœ,œidœ:œCustomComponent-ZNoRMœ,œinputTypesœ:null,œtypeœ:œDataœ}\",\"data\":{\"targetHandle\":{\"fieldName\":\"html_content\",\"id\":\"CustomComponent-ZNoRM\",\"inputTypes\":null,\"type\":\"Data\"},\"sourceHandle\":{\"baseClasses\":[\"Data\"],\"dataType\":\"CustomComponent\",\"id\":\"CustomComponent-zNSTv\"}},\"style\":{\"stroke\":\"#555\"},\"className\":\"stroke-gray-900 stroke-connection\",\"animated\":false,\"id\":\"reactflow__edge-CustomComponent-zNSTv{œbaseClassesœ:[œDataœ],œdataTypeœ:œCustomComponentœ,œidœ:œCustomComponent-zNSTvœ}-CustomComponent-ZNoRM{œfieldNameœ:œhtml_contentœ,œidœ:œCustomComponent-ZNoRMœ,œinputTypesœ:null,œtypeœ:œDataœ}\",\"selected\":false},{\"source\":\"CustomComponent-zNSTv\",\"sourceHandle\":\"{œbaseClassesœ:[œDataœ],œdataTypeœ:œCustomComponentœ,œidœ:œCustomComponent-zNSTvœ}\",\"target\":\"CustomComponent-Ihm2o\",\"targetHandle\":\"{œfieldNameœ:œhtml_contentœ,œidœ:œCustomComponent-Ihm2oœ,œinputTypesœ:null,œtypeœ:œDataœ}\",\"data\":{\"targetHandle\":{\"fieldName\":\"html_content\",\"id\":\"CustomComponent-Ihm2o\",\"inputTypes\":null,\"type\":\"Data\"},\"sourceHandle\":{\"baseClasses\":[\"Data\"],\"dataType\":\"CustomComponent\",\"id\":\"CustomComponent-zNSTv\"}},\"style\":{\"stroke\":\"#555\"},\"className\":\"stroke-gray-900 stroke-connection\",\"animated\":false,\"id\":\"reactflow__edge-CustomComponent-zNSTv{œbaseClassesœ:[œDataœ],œdataTypeœ:œCustomComponentœ,œidœ:œCustomComponent-zNSTvœ}-CustomComponent-Ihm2o{œfieldNameœ:œhtml_contentœ,œidœ:œCustomComponent-Ihm2oœ,œinputTypesœ:null,œtypeœ:œDataœ}\",\"selected\":false},{\"source\":\"CustomComponent-Ihm2o\",\"sourceHandle\":\"{œbaseClassesœ:[œDataœ],œdataTypeœ:œCustomComponentœ,œidœ:œCustomComponent-Ihm2oœ}\",\"target\":\"CustomComponent-6ST9l\",\"targetHandle\":\"{œfieldNameœ:œsoupœ,œidœ:œCustomComponent-6ST9lœ,œinputTypesœ:null,œtypeœ:œDataœ}\",\"data\":{\"targetHandle\":{\"fieldName\":\"soup\",\"id\":\"CustomComponent-6ST9l\",\"inputTypes\":null,\"type\":\"Data\"},\"sourceHandle\":{\"baseClasses\":[\"Data\"],\"dataType\":\"CustomComponent\",\"id\":\"CustomComponent-Ihm2o\"}},\"style\":{\"stroke\":\"#555\"},\"className\":\"stroke-gray-900 stroke-connection\",\"animated\":false,\"id\":\"reactflow__edge-CustomComponent-Ihm2o{œbaseClassesœ:[œDataœ],œdataTypeœ:œCustomComponentœ,œidœ:œCustomComponent-Ihm2oœ}-CustomComponent-6ST9l{œfieldNameœ:œsoupœ,œidœ:œCustomComponent-6ST9lœ,œinputTypesœ:null,œtypeœ:œDataœ}\",\"selected\":false},{\"source\":\"CustomComponent-iTLf4\",\"sourceHandle\":\"{œbaseClassesœ:[œstrœ],œdataTypeœ:œCustomComponentœ,œidœ:œCustomComponent-iTLf4œ}\",\"target\":\"CustomComponent-zNSTv\",\"targetHandle\":\"{œfieldNameœ:œurlœ,œidœ:œCustomComponent-zNSTvœ,œinputTypesœ:[œDataœ,œstrœ],œtypeœ:œstrœ}\",\"data\":{\"targetHandle\":{\"fieldName\":\"url\",\"id\":\"CustomComponent-zNSTv\",\"inputTypes\":[\"Data\",\"str\"],\"type\":\"str\"},\"sourceHandle\":{\"baseClasses\":[\"str\"],\"dataType\":\"CustomComponent\",\"id\":\"CustomComponent-iTLf4\"}},\"style\":{\"stroke\":\"#555\"},\"className\":\"stroke-gray-900 stroke-connection\",\"animated\":false,\"id\":\"reactflow__edge-CustomComponent-iTLf4{œbaseClassesœ:[œstrœ],œdataTypeœ:œCustomComponentœ,œidœ:œCustomComponent-iTLf4œ}-CustomComponent-zNSTv{œfieldNameœ:œurlœ,œidœ:œCustomComponent-zNSTvœ,œinputTypesœ:[œDataœ,œstrœ],œtypeœ:œstrœ}\",\"selected\":false},{\"source\":\"CustomComponent-iTLf4\",\"sourceHandle\":\"{œbaseClassesœ:[œstrœ],œdataTypeœ:œCustomComponentœ,œidœ:œCustomComponent-iTLf4œ}\",\"target\":\"PromptTemplate-l35W1\",\"targetHandle\":\"{œfieldNameœ:œurlœ,œidœ:œPromptTemplate-l35W1œ,œinputTypesœ:[œDocumentœ,œBaseOutputParserœ],œtypeœ:œstrœ}\",\"data\":{\"targetHandle\":{\"fieldName\":\"url\",\"id\":\"PromptTemplate-l35W1\",\"inputTypes\":[\"Document\",\"BaseOutputParser\"],\"type\":\"str\"},\"sourceHandle\":{\"baseClasses\":[\"str\"],\"dataType\":\"CustomComponent\",\"id\":\"CustomComponent-iTLf4\"}},\"style\":{\"stroke\":\"#555\"},\"className\":\"stroke-gray-900 stroke-connection\",\"animated\":false,\"id\":\"reactflow__edge-CustomComponent-iTLf4{œbaseClassesœ:[œstrœ],œdataTypeœ:œCustomComponentœ,œidœ:œCustomComponent-iTLf4œ}-PromptTemplate-l35W1{œfieldNameœ:œurlœ,œidœ:œPromptTemplate-l35W1œ,œinputTypesœ:[œDocumentœ,œBaseOutputParserœ],œtypeœ:œstrœ}\",\"selected\":false},{\"source\":\"CustomComponent-6ST9l\",\"sourceHandle\":\"{œbaseClassesœ:[œlistœ],œdataTypeœ:œCustomComponentœ,œidœ:œCustomComponent-6ST9lœ}\",\"target\":\"CustomComponent-jWLUz\",\"targetHandle\":\"{œfieldNameœ:œitemsœ,œidœ:œCustomComponent-jWLUzœ,œinputTypesœ:null,œtypeœ:œlistœ}\",\"data\":{\"targetHandle\":{\"fieldName\":\"items\",\"id\":\"CustomComponent-jWLUz\",\"inputTypes\":null,\"type\":\"list\"},\"sourceHandle\":{\"baseClasses\":[\"list\"],\"dataType\":\"CustomComponent\",\"id\":\"CustomComponent-6ST9l\"}},\"style\":{\"stroke\":\"#555\"},\"className\":\"stroke-gray-900 stroke-connection\",\"animated\":false,\"id\":\"reactflow__edge-CustomComponent-6ST9l{œbaseClassesœ:[œlistœ],œdataTypeœ:œCustomComponentœ,œidœ:œCustomComponent-6ST9lœ}-CustomComponent-jWLUz{œfieldNameœ:œitemsœ,œidœ:œCustomComponent-jWLUzœ,œinputTypesœ:null,œtypeœ:œlistœ}\",\"selected\":false},{\"source\":\"CustomComponent-jWLUz\",\"sourceHandle\":\"{œbaseClassesœ:[œstrœ],œdataTypeœ:œCustomComponentœ,œidœ:œCustomComponent-jWLUzœ}\",\"target\":\"PromptTemplate-l35W1\",\"targetHandle\":\"{œfieldNameœ:œhtml_linksœ,œidœ:œPromptTemplate-l35W1œ,œinputTypesœ:[œDocumentœ,œBaseOutputParserœ],œtypeœ:œstrœ}\",\"data\":{\"targetHandle\":{\"fieldName\":\"html_links\",\"id\":\"PromptTemplate-l35W1\",\"inputTypes\":[\"Document\",\"BaseOutputParser\"],\"type\":\"str\"},\"sourceHandle\":{\"baseClasses\":[\"str\"],\"dataType\":\"CustomComponent\",\"id\":\"CustomComponent-jWLUz\"}},\"style\":{\"stroke\":\"#555\"},\"className\":\"stroke-gray-900 stroke-connection\",\"animated\":false,\"id\":\"reactflow__edge-CustomComponent-jWLUz{œbaseClassesœ:[œstrœ],œdataTypeœ:œCustomComponentœ,œidœ:œCustomComponent-jWLUzœ}-PromptTemplate-l35W1{œfieldNameœ:œhtml_linksœ,œidœ:œPromptTemplate-l35W1œ,œinputTypesœ:[œDocumentœ,œBaseOutputParserœ],œtypeœ:œstrœ}\",\"selected\":false},{\"source\":\"CustomComponent-ZNoRM\",\"sourceHandle\":\"{œbaseClassesœ:[œstrœ],œdataTypeœ:œCustomComponentœ,œidœ:œCustomComponent-ZNoRMœ}\",\"target\":\"PromptTemplate-l35W1\",\"targetHandle\":\"{œfieldNameœ:œhtml_markdownœ,œidœ:œPromptTemplate-l35W1œ,œinputTypesœ:[œDocumentœ,œBaseOutputParserœ],œtypeœ:œstrœ}\",\"data\":{\"targetHandle\":{\"fieldName\":\"html_markdown\",\"id\":\"PromptTemplate-l35W1\",\"inputTypes\":[\"Document\",\"BaseOutputParser\"],\"type\":\"str\"},\"sourceHandle\":{\"baseClasses\":[\"str\"],\"dataType\":\"CustomComponent\",\"id\":\"CustomComponent-ZNoRM\"}},\"style\":{\"stroke\":\"#555\"},\"className\":\"stroke-gray-900 stroke-connection\",\"animated\":false,\"id\":\"reactflow__edge-CustomComponent-ZNoRM{œbaseClassesœ:[œstrœ],œdataTypeœ:œCustomComponentœ,œidœ:œCustomComponent-ZNoRMœ}-PromptTemplate-l35W1{œfieldNameœ:œhtml_markdownœ,œidœ:œPromptTemplate-l35W1œ,œinputTypesœ:[œDocumentœ,œBaseOutputParserœ],œtypeœ:œstrœ}\",\"selected\":false},{\"source\":\"PromptTemplate-l35W1\",\"sourceHandle\":\"{œbaseClassesœ:[œStringPromptTemplateœ,œBasePromptTemplateœ,œPromptTemplateœ],œdataTypeœ:œPromptTemplateœ,œidœ:œPromptTemplate-l35W1œ}\",\"target\":\"LLMChain-cHel8\",\"targetHandle\":\"{œfieldNameœ:œpromptœ,œidœ:œLLMChain-cHel8œ,œinputTypesœ:null,œtypeœ:œBasePromptTemplateœ}\",\"data\":{\"targetHandle\":{\"fieldName\":\"prompt\",\"id\":\"LLMChain-cHel8\",\"inputTypes\":null,\"type\":\"BasePromptTemplate\"},\"sourceHandle\":{\"baseClasses\":[\"StringPromptTemplate\",\"BasePromptTemplate\",\"PromptTemplate\"],\"dataType\":\"PromptTemplate\",\"id\":\"PromptTemplate-l35W1\"}},\"style\":{\"stroke\":\"#555\"},\"className\":\"stroke-gray-900 stroke-connection\",\"animated\":false,\"id\":\"reactflow__edge-PromptTemplate-mJqEg{œbaseClassesœ:[œStringPromptTemplateœ,œBasePromptTemplateœ,œPromptTemplateœ],œdataTypeœ:œPromptTemplateœ,œidœ:œPromptTemplate-mJqEgœ}-LLMChain-cHel8{œfieldNameœ:œpromptœ,œidœ:œLLMChain-cHel8œ,œinputTypesœ:null,œtypeœ:œBasePromptTemplateœ}\"}],\"viewport\":{\"x\":206.6159172940935,\"y\":79.94375811155385,\"zoom\":0.5140569133280333}},\"is_component\":false,\"updated_at\":\"2023-12-06T00:23:04.515144\",\"folder\":null,\"id\":\"ecfb377a-7e88-405d-8d66-7560735ce446\",\"user_id\":\"d253bfba-6368-44dc-85f7-0d6da9e45968\"},{\"name\":\"Lonely Lovelace\",\"description\":\"Smart Chains, Smarter Conversations.\",\"data\":{\"nodes\":[],\"edges\":[],\"viewport\":{\"zoom\":1,\"x\":0,\"y\":0}},\"is_component\":false,\"updated_at\":\"2023-12-04T23:43:25.925753\",\"folder\":null,\"id\":\"30e71767-6128-40e4-9a6d-b9197b679971\",\"user_id\":\"d253bfba-6368-44dc-85f7-0d6da9e45968\"},{\"name\":\"Custom Component\",\"description\":\"Create any custom component you want!\",\"data\":{\"edges\":[],\"nodes\":[{\"data\":{\"type\":\"CustomComponent\",\"node\":{\"template\":{\"code\":{\"dynamic\":true,\"required\":true,\"placeholder\":\"\",\"show\":true,\"multiline\":true,\"value\":\"from langflow import CustomComponent\\nfrom langflow.field_typing import Data\\n\\n\\nclass Component(CustomComponent):\\n display_name: str = \\\"Custom Component\\\"\\n description: str = \\\"Create any custom component you want!\\\"\\n documentation: str = \\\"http://docs.langflow.org/components/custom\\\"\\n\\n def build_config(self):\\n return {\\\"param\\\": {\\\"display_name\\\": \\\"Parameter\\\"}}\\n\\n def build(self, param: Data) -> Data:\\n return param\\n\",\"password\":false,\"name\":\"code\",\"advanced\":false,\"type\":\"code\",\"list\":false},\"_type\":\"CustomComponent\",\"param\":{\"required\":true,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"password\":false,\"name\":\"param\",\"display_name\":\"Parameter\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"Data\",\"list\":false}},\"description\":\"Create any custom component you want!\",\"base_classes\":[\"Data\"],\"display_name\":\"Custom Component\",\"custom_fields\":{\"param\":null},\"output_types\":[\"CustomComponent\"],\"documentation\":\"http://docs.langflow.org/components/custom\",\"beta\":true,\"error\":null,\"official\":false},\"id\":\"CustomComponent-IxJqc\"},\"id\":\"CustomComponent-IxJqc\",\"position\":{\"x\":0,\"y\":0},\"type\":\"genericNode\"}],\"viewport\":{\"x\":1,\"y\":1,\"zoom\":1}},\"is_component\":true,\"updated_at\":\"2023-12-05T22:08:27.080204\",\"folder\":null,\"id\":\"f3c56abb-96d8-4a09-80d3-f60181661b3c\",\"user_id\":\"d253bfba-6368-44dc-85f7-0d6da9e45968\"},{\"name\":\"Amazing Wilson\",\"description\":\"Unfolding Linguistic Possibilities.\",\"data\":{\"nodes\":[],\"edges\":[],\"viewport\":{\"zoom\":1,\"x\":0,\"y\":0}},\"is_component\":false,\"updated_at\":\"2023-12-05T23:49:58.272677\",\"folder\":null,\"id\":\"324499a6-17a6-49de-96b1-b88955ed2c3d\",\"user_id\":\"d253bfba-6368-44dc-85f7-0d6da9e45968\"},{\"name\":\"Nauseous Kowalevski\",\"description\":\"Create, Curate, Communicate with Langflow.\",\"data\":{\"nodes\":[],\"edges\":[],\"viewport\":{\"zoom\":1,\"x\":0,\"y\":0}},\"is_component\":false,\"updated_at\":\"2023-12-06T22:45:27.084387\",\"folder\":null,\"id\":\"e3168485-d31b-472a-907f-faf833bf7824\",\"user_id\":\"d253bfba-6368-44dc-85f7-0d6da9e45968\"},{\"name\":\"Silly Fermi\",\"description\":\"Craft Meaningful Interactions, Generate Value.\",\"data\":{\"nodes\":[],\"edges\":[],\"viewport\":{\"zoom\":1,\"x\":0,\"y\":0}},\"is_component\":false,\"updated_at\":\"2023-12-06T22:45:57.134463\",\"folder\":null,\"id\":\"d0ecea5d-bcf9-4b8e-88f0-3c243d309336\",\"user_id\":\"d253bfba-6368-44dc-85f7-0d6da9e45968\"},{\"name\":\"Friendly Ardinghelli\",\"description\":\"Smart Chains, Smarter Conversations.\",\"data\":{\"nodes\":[],\"edges\":[],\"viewport\":{\"zoom\":1,\"x\":0,\"y\":0}},\"is_component\":false,\"updated_at\":\"2023-12-06T22:45:57.138184\",\"folder\":null,\"id\":\"a406912d-b0e2-4954-bef3-ee80c29eca3c\",\"user_id\":\"d253bfba-6368-44dc-85f7-0d6da9e45968\"},{\"name\":\"Gleeful Easley\",\"description\":\"Bridging Prompts for Brilliance.\",\"data\":{\"nodes\":[],\"edges\":[],\"viewport\":{\"zoom\":1,\"x\":0,\"y\":0}},\"is_component\":false,\"updated_at\":\"2023-12-06T22:45:57.162908\",\"folder\":null,\"id\":\"57b32155-4c6e-4823-ad03-8dd09d8abc62\",\"user_id\":\"d253bfba-6368-44dc-85f7-0d6da9e45968\"},{\"name\":\"Effervescent Varahamihira\",\"description\":\"Create, Chain, Communicate.\",\"data\":{\"nodes\":[],\"edges\":[],\"viewport\":{\"zoom\":1,\"x\":0,\"y\":0}},\"is_component\":false,\"updated_at\":\"2023-12-06T22:45:57.135644\",\"folder\":null,\"id\":\"18daa0ff-2e5d-457a-95d7-710affec5c4d\",\"user_id\":\"d253bfba-6368-44dc-85f7-0d6da9e45968\"},{\"name\":\"Jubilant Joliot\",\"description\":\"Language Architect at Work!\",\"data\":{\"nodes\":[],\"edges\":[],\"viewport\":{\"zoom\":1,\"x\":0,\"y\":0}},\"is_component\":false,\"updated_at\":\"2023-12-06T22:45:57.139496\",\"folder\":null,\"id\":\"9255e938-280e-4ce7-91cd-8622126a7d02\",\"user_id\":\"d253bfba-6368-44dc-85f7-0d6da9e45968\"},{\"name\":\"Adoring Carroll\",\"description\":\"Nurture NLP Nodes Here.\",\"data\":{\"nodes\":[],\"edges\":[],\"viewport\":{\"zoom\":1,\"x\":0,\"y\":0}},\"is_component\":false,\"updated_at\":\"2023-12-06T22:45:57.162240\",\"folder\":null,\"id\":\"a7a680b9-30b1-4438-ac24-da597de443aa\",\"user_id\":\"d253bfba-6368-44dc-85f7-0d6da9e45968\"},{\"name\":\"Berserk Herschel\",\"description\":\"Your Hub for Text Generation.\",\"data\":{\"nodes\":[],\"edges\":[],\"viewport\":{\"zoom\":1,\"x\":0,\"y\":0}},\"is_component\":false,\"updated_at\":\"2023-12-06T22:46:02.593504\",\"folder\":null,\"id\":\"37a439b0-7b1d-45e3-b4fa-5c73669bae3b\",\"user_id\":\"d253bfba-6368-44dc-85f7-0d6da9e45968\"},{\"name\":\"Distracted Joliot\",\"description\":\"Conversational Cartography Unlocked.\",\"data\":{\"nodes\":[],\"edges\":[],\"viewport\":{\"zoom\":1,\"x\":0,\"y\":0}},\"is_component\":false,\"updated_at\":\"2023-12-06T22:47:04.845238\",\"folder\":null,\"id\":\"4d23fd0a-8ad5-46b9-bb99-eed4138e7426\",\"user_id\":\"d253bfba-6368-44dc-85f7-0d6da9e45968\"},{\"name\":\"Happy Babbage\",\"description\":\"Flow into the Future of Language.\",\"data\":{\"nodes\":[],\"edges\":[],\"viewport\":{\"zoom\":1,\"x\":0,\"y\":0}},\"is_component\":false,\"updated_at\":\"2023-12-06T22:47:41.899665\",\"folder\":null,\"id\":\"1c8ad5b9-5524-41fe-a762-52c75126b832\",\"user_id\":\"d253bfba-6368-44dc-85f7-0d6da9e45968\"},{\"name\":\"Adoring Brown\",\"description\":\"Unlock the Power of AI in Your Business Conversations.\",\"data\":{\"nodes\":[],\"edges\":[],\"viewport\":{\"zoom\":1,\"x\":0,\"y\":0}},\"is_component\":false,\"updated_at\":\"2023-12-06T22:47:42.702031\",\"folder\":null,\"id\":\"9d4c8e79-4904-4a51-a4bb-146c3d8db10e\",\"user_id\":\"d253bfba-6368-44dc-85f7-0d6da9e45968\"},{\"name\":\"Focused Mahavira\",\"description\":\"Design, Develop, Dialogize.\",\"data\":{\"nodes\":[],\"edges\":[],\"viewport\":{\"zoom\":1,\"x\":0,\"y\":0}},\"is_component\":false,\"updated_at\":\"2023-12-06T22:47:42.786331\",\"folder\":null,\"id\":\"4ba370d1-1f8e-4a23-99aa-99e2cd9b7cbf\",\"user_id\":\"d253bfba-6368-44dc-85f7-0d6da9e45968\"},{\"name\":\"Mad Gates\",\"description\":\"Where Language Meets Logic.\",\"data\":{\"nodes\":[],\"edges\":[],\"viewport\":{\"zoom\":1,\"x\":0,\"y\":0}},\"is_component\":false,\"updated_at\":\"2023-12-06T22:47:42.838989\",\"folder\":null,\"id\":\"992c3cd3-1d79-4986-8c04-88a34130fa30\",\"user_id\":\"d253bfba-6368-44dc-85f7-0d6da9e45968\"},{\"name\":\"Serene Mcclintock\",\"description\":\"Unlock the Power of AI in Your Business Conversations.\",\"data\":{\"nodes\":[],\"edges\":[],\"viewport\":{\"zoom\":1,\"x\":0,\"y\":0}},\"is_component\":false,\"updated_at\":\"2023-12-06T22:47:42.932723\",\"folder\":null,\"id\":\"a65bfd13-44df-4090-aca0-5057e21e9997\",\"user_id\":\"d253bfba-6368-44dc-85f7-0d6da9e45968\"},{\"name\":\"Berserk Feynman\",\"description\":\"Text Generation Meets Business Transformation.\",\"data\":{\"nodes\":[],\"edges\":[],\"viewport\":{\"zoom\":1,\"x\":0,\"y\":0}},\"is_component\":false,\"updated_at\":\"2023-12-06T22:47:42.931359\",\"folder\":null,\"id\":\"7a05dac5-c005-411d-9994-19d61e71ce78\",\"user_id\":\"d253bfba-6368-44dc-85f7-0d6da9e45968\"},{\"name\":\"Sprightly Perlman\",\"description\":\"Interactive Language Weaving.\",\"data\":{\"nodes\":[],\"edges\":[],\"viewport\":{\"zoom\":1,\"x\":0,\"y\":0}},\"is_component\":false,\"updated_at\":\"2023-12-06T22:47:43.054687\",\"folder\":null,\"id\":\"6db24541-7211-48e6-a792-1a4a99a0ef90\",\"user_id\":\"d253bfba-6368-44dc-85f7-0d6da9e45968\"},{\"name\":\"Jolly Colden\",\"description\":\"Flow into the Future of Language.\",\"data\":{\"nodes\":[],\"edges\":[],\"viewport\":{\"zoom\":1,\"x\":0,\"y\":0}},\"is_component\":false,\"updated_at\":\"2023-12-06T22:47:43.078384\",\"folder\":null,\"id\":\"13ac42e8-9124-4bf4-9ea2-28671ef2d9a4\",\"user_id\":\"d253bfba-6368-44dc-85f7-0d6da9e45968\"},{\"name\":\"Gleeful Kaku\",\"description\":\"The Power of Language at Your Fingertips.\",\"data\":{\"nodes\":[],\"edges\":[],\"viewport\":{\"zoom\":1,\"x\":0,\"y\":0}},\"is_component\":false,\"updated_at\":\"2023-12-06T22:50:33.156776\",\"folder\":null,\"id\":\"79262d75-5c62-4b14-b067-f4297f5c912f\",\"user_id\":\"d253bfba-6368-44dc-85f7-0d6da9e45968\"},{\"name\":\"Jovial Khayyam\",\"description\":\"Empowering Communication, Enabling Opportunities.\",\"data\":{\"nodes\":[],\"edges\":[],\"viewport\":{\"zoom\":1,\"x\":0,\"y\":0}},\"is_component\":false,\"updated_at\":\"2023-12-06T22:51:13.295375\",\"folder\":null,\"id\":\"3b397e74-d8be-4728-9d6c-05f7c78106a7\",\"user_id\":\"d253bfba-6368-44dc-85f7-0d6da9e45968\"},{\"name\":\"Goofy Mccarthy\",\"description\":\"Building Powerful Solutions with Language Models.\",\"data\":{\"nodes\":[],\"edges\":[],\"viewport\":{\"zoom\":1,\"x\":0,\"y\":0}},\"is_component\":false,\"updated_at\":\"2023-12-06T22:51:27.632685\",\"folder\":null,\"id\":\"13f4e1fd-45eb-4271-92fd-0d70a31c61d2\",\"user_id\":\"d253bfba-6368-44dc-85f7-0d6da9e45968\"},{\"name\":\"Cocky Lalande\",\"description\":\"Building Intelligent Interactions.\",\"data\":{\"nodes\":[],\"edges\":[],\"viewport\":{\"zoom\":1,\"x\":0,\"y\":0}},\"is_component\":false,\"updated_at\":\"2023-12-06T22:51:54.628983\",\"folder\":null,\"id\":\"9cfd60d8-9311-47b0-b71b-f488f1940bc7\",\"user_id\":\"d253bfba-6368-44dc-85f7-0d6da9e45968\"},{\"name\":\"Romantic Mirzakhani\",\"description\":\"Innovation in Interaction with Langflow.\",\"data\":{\"nodes\":[],\"edges\":[],\"viewport\":{\"zoom\":1,\"x\":0,\"y\":0}},\"is_component\":false,\"updated_at\":\"2023-12-06T22:52:52.622698\",\"folder\":null,\"id\":\"0d849403-0f75-455d-b4e4-0d622ee3305a\",\"user_id\":\"d253bfba-6368-44dc-85f7-0d6da9e45968\"},{\"name\":\"Grinning Brown\",\"description\":\"Building Powerful Solutions with Language Models.\",\"data\":{\"nodes\":[],\"edges\":[],\"viewport\":{\"zoom\":1,\"x\":0,\"y\":0}},\"is_component\":false,\"updated_at\":\"2023-12-06T22:53:06.056636\",\"folder\":null,\"id\":\"8643ba14-52d6-4d36-9981-5fd37de5dd76\",\"user_id\":\"d253bfba-6368-44dc-85f7-0d6da9e45968\"},{\"name\":\"Kickass Watt\",\"description\":\"Transform Your Business with Smart Dialogues.\",\"data\":{\"nodes\":[],\"edges\":[],\"viewport\":{\"zoom\":1,\"x\":0,\"y\":0}},\"is_component\":false,\"updated_at\":\"2023-12-06T22:53:23.338727\",\"folder\":null,\"id\":\"818d3066-bf08-4bf9-adcd-739f8abbfa5d\",\"user_id\":\"d253bfba-6368-44dc-85f7-0d6da9e45968\"},{\"name\":\"Goofy Bose\",\"description\":\"Unravel the Art of Articulation.\",\"data\":{\"nodes\":[],\"edges\":[],\"viewport\":{\"zoom\":1,\"x\":0,\"y\":0}},\"is_component\":false,\"updated_at\":\"2023-12-06T22:53:41.218861\",\"folder\":null,\"id\":\"28eff43e-0ecf-47bf-9851-f1492589978e\",\"user_id\":\"d253bfba-6368-44dc-85f7-0d6da9e45968\"},{\"name\":\"Optimistic Jennings\",\"description\":\"Create Powerful Connections, Boost Business Value.\",\"data\":{\"nodes\":[],\"edges\":[],\"viewport\":{\"zoom\":1,\"x\":0,\"y\":0}},\"is_component\":false,\"updated_at\":\"2023-12-06T22:55:03.681106\",\"folder\":null,\"id\":\"68f59069-bc2a-464f-a983-4b61e32e01af\",\"user_id\":\"d253bfba-6368-44dc-85f7-0d6da9e45968\"},{\"name\":\"Pedantic Mirzakhani\",\"description\":\"Language Chainlink Master.\",\"data\":{\"nodes\":[],\"edges\":[],\"viewport\":{\"zoom\":1,\"x\":0,\"y\":0}},\"is_component\":false,\"updated_at\":\"2023-12-06T22:55:31.761949\",\"folder\":null,\"id\":\"5d981c0e-81b3-44cc-a5be-8f55b92bfed5\",\"user_id\":\"d253bfba-6368-44dc-85f7-0d6da9e45968\"},{\"name\":\"Peppy Murdock\",\"description\":\"Create Powerful Connections, Boost Business Value.\",\"data\":{\"nodes\":[],\"edges\":[],\"viewport\":{\"zoom\":1,\"x\":0,\"y\":0}},\"is_component\":false,\"updated_at\":\"2023-12-06T22:56:45.548598\",\"folder\":null,\"id\":\"e812ad47-47e8-422b-b94c-84fd0263c9c8\",\"user_id\":\"d253bfba-6368-44dc-85f7-0d6da9e45968\"},{\"name\":\"Berserk Fermat\",\"description\":\"Maximize Impact with Intelligent Conversations.\",\"data\":{\"nodes\":[],\"edges\":[],\"viewport\":{\"zoom\":1,\"x\":0,\"y\":0}},\"is_component\":false,\"updated_at\":\"2023-12-06T22:58:50.234270\",\"folder\":null,\"id\":\"82aaf449-e737-4699-9360-929ab6108dc7\",\"user_id\":\"d253bfba-6368-44dc-85f7-0d6da9e45968\"},{\"name\":\"Tiny Albattani\",\"description\":\"Your Toolkit for Text Generation.\",\"data\":{\"nodes\":[],\"edges\":[],\"viewport\":{\"zoom\":1,\"x\":0,\"y\":0}},\"is_component\":false,\"updated_at\":\"2023-12-06T22:59:53.946035\",\"folder\":null,\"id\":\"097cb080-274b-40ca-8dde-7900a949568a\",\"user_id\":\"d253bfba-6368-44dc-85f7-0d6da9e45968\"},{\"name\":\"Cranky Kirch\",\"description\":\"Sculpting Language with Precision.\",\"data\":{\"nodes\":[],\"edges\":[],\"viewport\":{\"zoom\":1,\"x\":0,\"y\":0}},\"is_component\":false,\"updated_at\":\"2023-12-06T23:00:51.745350\",\"folder\":null,\"id\":\"837d7b5f-8495-46a9-b00e-ad1b7ebb52f4\",\"user_id\":\"d253bfba-6368-44dc-85f7-0d6da9e45968\"},{\"name\":\"Effervescent Kowalevski\",\"description\":\"Empowering Language Engineering.\",\"data\":{\"nodes\":[],\"edges\":[],\"viewport\":{\"zoom\":1,\"x\":0,\"y\":0}},\"is_component\":false,\"updated_at\":\"2023-12-06T23:02:53.336102\",\"folder\":null,\"id\":\"3ff079c2-d9f9-4da6-a22a-423fa35670ff\",\"user_id\":\"d253bfba-6368-44dc-85f7-0d6da9e45968\"},{\"name\":\"Radiant Stallman\",\"description\":\"Navigate the Linguistic Landscape, Discover Opportunities.\",\"data\":{\"nodes\":[],\"edges\":[],\"viewport\":{\"zoom\":1,\"x\":0,\"y\":0}},\"is_component\":false,\"updated_at\":\"2023-12-06T23:03:28.268357\",\"folder\":null,\"id\":\"c8b204dd-3d57-4bc8-aa13-1d559672e75b\",\"user_id\":\"d253bfba-6368-44dc-85f7-0d6da9e45968\"},{\"name\":\"Grinning Swirles\",\"description\":\"Unleashing Linguistic Creativity.\",\"data\":{\"nodes\":[],\"edges\":[],\"viewport\":{\"zoom\":1,\"x\":0,\"y\":0}},\"is_component\":false,\"updated_at\":\"2023-12-06T23:03:51.194455\",\"folder\":null,\"id\":\"a097f083-5880-4cf7-986b-51898bc68e11\",\"user_id\":\"d253bfba-6368-44dc-85f7-0d6da9e45968\"},{\"name\":\"Dreamy Williams\",\"description\":\"Interactive Language Weaving.\",\"data\":{\"nodes\":[],\"edges\":[],\"viewport\":{\"zoom\":1,\"x\":0,\"y\":0}},\"is_component\":false,\"updated_at\":\"2023-12-06T23:04:36.678251\",\"folder\":null,\"id\":\"d9585f63-ce76-42ce-87bc-8e69601ea5c6\",\"user_id\":\"d253bfba-6368-44dc-85f7-0d6da9e45968\"},{\"name\":\"Zany Hawking\",\"description\":\"Flow into the Future of Language.\",\"data\":{\"nodes\":[],\"edges\":[],\"viewport\":{\"zoom\":1,\"x\":0,\"y\":0}},\"is_component\":false,\"updated_at\":\"2023-12-06T23:05:13.672479\",\"folder\":null,\"id\":\"612a01d5-8c8d-4cc1-8c54-35626b7f4a6d\",\"user_id\":\"d253bfba-6368-44dc-85f7-0d6da9e45968\"},{\"name\":\"Amazing Kilby\",\"description\":\"Your Toolkit for Text Generation.\",\"data\":{\"nodes\":[],\"edges\":[],\"viewport\":{\"zoom\":1,\"x\":0,\"y\":0}},\"is_component\":false,\"updated_at\":\"2023-12-06T23:10:37.047955\",\"folder\":null,\"id\":\"2d05a598-3cdf-452a-bd5d-b0e569e562e3\",\"user_id\":\"d253bfba-6368-44dc-85f7-0d6da9e45968\"},{\"name\":\"Insane Cori\",\"description\":\"Empowering Communication, Enabling Opportunities.\",\"data\":{\"nodes\":[],\"edges\":[],\"viewport\":{\"zoom\":1,\"x\":0,\"y\":0}},\"is_component\":false,\"updated_at\":\"2023-12-06T23:18:12.426578\",\"folder\":null,\"id\":\"d1769a4a-c1e9-4d74-9273-1e76cfcf21f3\",\"user_id\":\"d253bfba-6368-44dc-85f7-0d6da9e45968\"},{\"name\":\"Compassionate Tesla\",\"description\":\"Graph Your Way to Great Conversations.\",\"data\":{\"nodes\":[],\"edges\":[],\"viewport\":{\"zoom\":1,\"x\":0,\"y\":0}},\"is_component\":false,\"updated_at\":\"2023-12-06T23:18:52.806238\",\"folder\":null,\"id\":\"28c5d9dd-0466-4c80-9e58-b1e061cd358d\",\"user_id\":\"d253bfba-6368-44dc-85f7-0d6da9e45968\"},{\"name\":\"Jubilant Goldstine\",\"description\":\"Harness the Power of Conversational AI.\",\"data\":{\"nodes\":[],\"edges\":[],\"viewport\":{\"zoom\":1,\"x\":0,\"y\":0}},\"is_component\":false,\"updated_at\":\"2023-12-06T23:21:44.488510\",\"folder\":null,\"id\":\"b3c57e4f-28a1-4580-bf08-a9484bdd66e8\",\"user_id\":\"d253bfba-6368-44dc-85f7-0d6da9e45968\"},{\"name\":\"Elegant Curie\",\"description\":\"Building Intelligent Interactions.\",\"data\":{\"nodes\":[],\"edges\":[],\"viewport\":{\"zoom\":1,\"x\":0,\"y\":0}},\"is_component\":false,\"updated_at\":\"2023-12-07T00:23:47.610237\",\"folder\":null,\"id\":\"28fb024e-6ba1-4f5b-83b3-4742b3b8117c\",\"user_id\":\"d253bfba-6368-44dc-85f7-0d6da9e45968\"},{\"name\":\"Twinkly Chandrasekhar\",\"description\":\"Maximize Impact with Intelligent Conversations.\",\"data\":{\"nodes\":[],\"edges\":[],\"viewport\":{\"zoom\":1,\"x\":0,\"y\":0}},\"is_component\":false,\"updated_at\":\"2023-12-07T00:24:29.824530\",\"folder\":null,\"id\":\"d2b87cf7-9167-4030-8e9f-b8d9aa0cadee\",\"user_id\":\"d253bfba-6368-44dc-85f7-0d6da9e45968\"},{\"name\":\"Pensive Nobel\",\"description\":\"Crafting Dialogues that Drive Business Success.\",\"data\":{\"nodes\":[],\"edges\":[],\"viewport\":{\"zoom\":1,\"x\":0,\"y\":0}},\"is_component\":false,\"updated_at\":\"2023-12-07T00:26:51.210699\",\"folder\":null,\"id\":\"c2c9fbac-7d97-40c2-8055-dff608df9414\",\"user_id\":\"d253bfba-6368-44dc-85f7-0d6da9e45968\"},{\"name\":\"Elated Edison\",\"description\":\"Advanced NLP for Groundbreaking Business Solutions.\",\"data\":{\"nodes\":[],\"edges\":[],\"viewport\":{\"zoom\":1,\"x\":0,\"y\":0}},\"is_component\":false,\"updated_at\":\"2023-12-07T00:27:35.822482\",\"folder\":null,\"id\":\"a55561cd-4b25-473f-bde5-884cbabb0d24\",\"user_id\":\"d253bfba-6368-44dc-85f7-0d6da9e45968\"},{\"name\":\"Dazzling Lichterman\",\"description\":\"Building Linguistic Labyrinths.\",\"data\":{\"nodes\":[],\"edges\":[],\"viewport\":{\"zoom\":1,\"x\":0,\"y\":0}},\"is_component\":false,\"updated_at\":\"2023-12-07T00:29:09.259381\",\"folder\":null,\"id\":\"9c6fe6d4-8311-4fc6-8b02-2a816d7c059d\",\"user_id\":\"d253bfba-6368-44dc-85f7-0d6da9e45968\"},{\"name\":\"Distracted Bhaskara\",\"description\":\"Navigate the Networks of Conversation.\",\"data\":{\"nodes\":[],\"edges\":[],\"viewport\":{\"zoom\":1,\"x\":0,\"y\":0}},\"is_component\":false,\"updated_at\":\"2023-12-07T00:31:36.053452\",\"folder\":null,\"id\":\"ef6fc1ab-aff8-45a1-8cd5-bc8e38565e4d\",\"user_id\":\"d253bfba-6368-44dc-85f7-0d6da9e45968\"},{\"name\":\"Evil Watt\",\"description\":\"Building Intelligent Interactions.\",\"data\":{\"nodes\":[],\"edges\":[],\"viewport\":{\"zoom\":1,\"x\":0,\"y\":0}},\"is_component\":false,\"updated_at\":\"2023-12-07T00:32:26.765250\",\"folder\":null,\"id\":\"499b5351-9c09-4934-9f9d-a24be2fd8b24\",\"user_id\":\"d253bfba-6368-44dc-85f7-0d6da9e45968\"},{\"name\":\"Jolly Wien\",\"description\":\"Bridging Prompts for Brilliance.\",\"data\":{\"nodes\":[],\"edges\":[],\"viewport\":{\"zoom\":1,\"x\":0,\"y\":0}},\"is_component\":false,\"updated_at\":\"2023-12-07T00:33:23.648859\",\"folder\":null,\"id\":\"a57eda91-7f6e-410d-9990-385fe0c724f3\",\"user_id\":\"d253bfba-6368-44dc-85f7-0d6da9e45968\"},{\"name\":\"Nostalgic Spence\",\"description\":\"Mapping Meaningful Conversations.\",\"data\":{\"nodes\":[],\"edges\":[],\"viewport\":{\"zoom\":1,\"x\":0,\"y\":0}},\"is_component\":false,\"updated_at\":\"2023-12-07T00:34:22.576407\",\"folder\":null,\"id\":\"685f685e-8a1b-4b7e-9e21-6cdd72163c91\",\"user_id\":\"d253bfba-6368-44dc-85f7-0d6da9e45968\"},{\"name\":\"Comical Fermat\",\"description\":\"Create, Connect, Converse.\",\"data\":{\"nodes\":[],\"edges\":[],\"viewport\":{\"zoom\":1,\"x\":0,\"y\":0}},\"is_component\":false,\"updated_at\":\"2023-12-07T00:35:44.920540\",\"folder\":null,\"id\":\"3e061766-b834-4fa4-ba9c-b060925d9703\",\"user_id\":\"d253bfba-6368-44dc-85f7-0d6da9e45968\"},{\"name\":\"Grave Volta\",\"description\":\"Maximize Impact with Intelligent Conversations.\",\"data\":{\"nodes\":[],\"edges\":[],\"viewport\":{\"zoom\":1,\"x\":0,\"y\":0}},\"is_component\":false,\"updated_at\":\"2023-12-07T00:36:33.001572\",\"folder\":null,\"id\":\"135f2fd9-e005-40bc-a9bf-c25107388415\",\"user_id\":\"d253bfba-6368-44dc-85f7-0d6da9e45968\"},{\"name\":\"Gleeful Davinci\",\"description\":\"Create Powerful Connections, Boost Business Value.\",\"data\":{\"nodes\":[],\"edges\":[],\"viewport\":{\"zoom\":1,\"x\":0,\"y\":0}},\"is_component\":false,\"updated_at\":\"2023-12-07T00:37:16.208823\",\"folder\":null,\"id\":\"167cdb24-7e1c-475b-893a-cca2f125426c\",\"user_id\":\"d253bfba-6368-44dc-85f7-0d6da9e45968\"},{\"name\":\"Hilarious Sinoussi\",\"description\":\"Language Chainlink Master.\",\"data\":{\"nodes\":[],\"edges\":[],\"viewport\":{\"zoom\":1,\"x\":0,\"y\":0}},\"is_component\":false,\"updated_at\":\"2023-12-07T00:38:07.215401\",\"folder\":null,\"id\":\"48113cab-2c04-493f-8c2e-c8d067826aa2\",\"user_id\":\"d253bfba-6368-44dc-85f7-0d6da9e45968\"},{\"name\":\"Grave Sagan\",\"description\":\"Connect the Dots, Craft Language.\",\"data\":{\"nodes\":[],\"edges\":[],\"viewport\":{\"zoom\":1,\"x\":0,\"y\":0}},\"is_component\":false,\"updated_at\":\"2023-12-07T00:39:19.479656\",\"folder\":null,\"id\":\"28d292dc-e094-4ffe-a657-178892933267\",\"user_id\":\"d253bfba-6368-44dc-85f7-0d6da9e45968\"},{\"name\":\"Cranky Hoover\",\"description\":\"Crafting Dialogues that Drive Business Success.\",\"data\":{\"nodes\":[],\"edges\":[],\"viewport\":{\"zoom\":1,\"x\":0,\"y\":0}},\"is_component\":false,\"updated_at\":\"2023-12-07T00:40:02.895859\",\"folder\":null,\"id\":\"0c9849b7-b2d6-4d0e-8334-abfb3ae183dd\",\"user_id\":\"d253bfba-6368-44dc-85f7-0d6da9e45968\"},{\"name\":\"Evil Mendeleev\",\"description\":\"Unfolding Linguistic Possibilities.\",\"data\":{\"nodes\":[],\"edges\":[],\"viewport\":{\"zoom\":1,\"x\":0,\"y\":0}},\"is_component\":false,\"updated_at\":\"2023-12-07T00:40:27.867247\",\"folder\":null,\"id\":\"d78c52e9-1941-4555-9bb9-abd01f176705\",\"user_id\":\"d253bfba-6368-44dc-85f7-0d6da9e45968\"},{\"name\":\"Effervescent Dubinsky\",\"description\":\"Where Language Meets Logic.\",\"data\":{\"nodes\":[],\"edges\":[],\"viewport\":{\"zoom\":1,\"x\":0,\"y\":0}},\"is_component\":false,\"updated_at\":\"2023-12-07T00:41:23.177402\",\"folder\":null,\"id\":\"5277a04c-b5da-4597-aaa2-a6b66ea11d02\",\"user_id\":\"d253bfba-6368-44dc-85f7-0d6da9e45968\"},{\"name\":\"Cocky Poitras\",\"description\":\"Where Language Meets Logic.\",\"data\":{\"nodes\":[],\"edges\":[],\"viewport\":{\"zoom\":1,\"x\":0,\"y\":0}},\"is_component\":false,\"updated_at\":\"2023-12-07T00:42:08.731865\",\"folder\":null,\"id\":\"b0d0c8de-4eea-484a-a068-b13e63f7e71c\",\"user_id\":\"d253bfba-6368-44dc-85f7-0d6da9e45968\"},{\"name\":\"Pedantic Ptolemy\",\"description\":\"Crafting Conversations, One Node at a Time.\",\"data\":{\"nodes\":[],\"edges\":[],\"viewport\":{\"zoom\":1,\"x\":0,\"y\":0}},\"is_component\":false,\"updated_at\":\"2023-12-07T00:42:25.658996\",\"folder\":null,\"id\":\"b6f155e2-03eb-4232-9bab-145463382fe9\",\"user_id\":\"d253bfba-6368-44dc-85f7-0d6da9e45968\"},{\"name\":\"Loving Cray\",\"description\":\"Maximize Impact with Intelligent Conversations.\",\"data\":{\"nodes\":[],\"edges\":[],\"viewport\":{\"zoom\":1,\"x\":0,\"y\":0}},\"is_component\":false,\"updated_at\":\"2023-12-07T00:43:57.530112\",\"folder\":null,\"id\":\"b75c10ca-9ecb-432b-88ab-e1847e836e22\",\"user_id\":\"d253bfba-6368-44dc-85f7-0d6da9e45968\"},{\"name\":\"Effervescent Pasteur\",\"description\":\"Language Models, Mapped and Mastered.\",\"data\":{\"nodes\":[],\"edges\":[],\"viewport\":{\"zoom\":1,\"x\":0,\"y\":0}},\"is_component\":false,\"updated_at\":\"2023-12-07T00:44:58.979393\",\"folder\":null,\"id\":\"3710eccb-e7a7-41d5-9339-d9c301515d17\",\"user_id\":\"d253bfba-6368-44dc-85f7-0d6da9e45968\"},{\"name\":\"Pensive Gates\",\"description\":\"The Power of Language at Your Fingertips.\",\"data\":{\"nodes\":[],\"edges\":[],\"viewport\":{\"zoom\":1,\"x\":0,\"y\":0}},\"is_component\":false,\"updated_at\":\"2023-12-07T00:45:42.744174\",\"folder\":null,\"id\":\"fdd2271e-92f6-4349-8c01-2ec0e9e73f13\",\"user_id\":\"d253bfba-6368-44dc-85f7-0d6da9e45968\"},{\"name\":\"Determined Khorana\",\"description\":\"Beyond Text Generation - Unleashing Business Opportunities.\",\"data\":{\"nodes\":[],\"edges\":[],\"viewport\":{\"zoom\":1,\"x\":0,\"y\":0}},\"is_component\":false,\"updated_at\":\"2023-12-07T00:46:10.084684\",\"folder\":null,\"id\":\"88b49a97-0888-4fea-8d9b-6ac2cc6d158e\",\"user_id\":\"d253bfba-6368-44dc-85f7-0d6da9e45968\"},{\"name\":\"Lonely Booth\",\"description\":\"Design Dialogues with Langflow.\",\"data\":{\"nodes\":[],\"edges\":[],\"viewport\":{\"zoom\":1,\"x\":0,\"y\":0}},\"is_component\":false,\"updated_at\":\"2023-12-07T00:46:41.577750\",\"folder\":null,\"id\":\"629afe54-8796-45be-a570-e3ac79c60792\",\"user_id\":\"d253bfba-6368-44dc-85f7-0d6da9e45968\"},{\"name\":\"Jubilant Mendeleev\",\"description\":\"Chain the Words, Master Language!\",\"data\":{\"nodes\":[],\"edges\":[],\"viewport\":{\"zoom\":1,\"x\":0,\"y\":0}},\"is_component\":false,\"updated_at\":\"2023-12-07T00:47:22.631243\",\"folder\":null,\"id\":\"7bf481b0-73fe-4f5b-a3d4-1263d9d8e827\",\"user_id\":\"d253bfba-6368-44dc-85f7-0d6da9e45968\"},{\"name\":\"Clever Varahamihira\",\"description\":\"Building Powerful Solutions with Language Models.\",\"data\":{\"nodes\":[],\"edges\":[],\"viewport\":{\"zoom\":1,\"x\":0,\"y\":0}},\"is_component\":false,\"updated_at\":\"2023-12-07T00:49:51.026960\",\"folder\":null,\"id\":\"df9e86b6-56c9-4848-9010-102615314766\",\"user_id\":\"d253bfba-6368-44dc-85f7-0d6da9e45968\"},{\"name\":\"Sleepy Stallman\",\"description\":\"Empowering Language Engineering.\",\"data\":{\"nodes\":[],\"edges\":[],\"viewport\":{\"zoom\":1,\"x\":0,\"y\":0}},\"is_component\":false,\"updated_at\":\"2023-12-07T00:50:14.932236\",\"folder\":null,\"id\":\"3e66994c-9b7a-4b85-a917-65d1959d7352\",\"user_id\":\"d253bfba-6368-44dc-85f7-0d6da9e45968\"},{\"name\":\"Modest Wozniak\",\"description\":\"Advanced NLP for Groundbreaking Business Solutions.\",\"data\":{\"nodes\":[],\"edges\":[],\"viewport\":{\"zoom\":1,\"x\":0,\"y\":0}},\"is_component\":false,\"updated_at\":\"2023-12-07T00:51:13.811894\",\"folder\":null,\"id\":\"d10f924a-5780-4255-9f41-3e102ae03e84\",\"user_id\":\"d253bfba-6368-44dc-85f7-0d6da9e45968\"},{\"name\":\"Hopeful Mirzakhani\",\"description\":\"Graph Your Way to Great Conversations.\",\"data\":{\"nodes\":[],\"edges\":[],\"viewport\":{\"zoom\":1,\"x\":0,\"y\":0}},\"is_component\":false,\"updated_at\":\"2023-12-07T00:52:23.906908\",\"folder\":null,\"id\":\"f3378fa8-ccaf-4a3b-90d6-b8ab0c4e481f\",\"user_id\":\"d253bfba-6368-44dc-85f7-0d6da9e45968\"},{\"name\":\"Awesome Joule\",\"description\":\"Design, Develop, Dialogize.\",\"data\":{\"nodes\":[],\"edges\":[],\"viewport\":{\"zoom\":1,\"x\":0,\"y\":0}},\"is_component\":false,\"updated_at\":\"2023-12-07T00:52:43.863440\",\"folder\":null,\"id\":\"deaa50e7-a8b1-46b1-856c-334ee781e1c2\",\"user_id\":\"d253bfba-6368-44dc-85f7-0d6da9e45968\"},{\"name\":\"Peppy Shockley\",\"description\":\"Generate, Innovate, Communicate.\",\"data\":{\"nodes\":[],\"edges\":[],\"viewport\":{\"zoom\":1,\"x\":0,\"y\":0}},\"is_component\":false,\"updated_at\":\"2023-12-07T00:53:43.299699\",\"folder\":null,\"id\":\"c72eac2c-d924-40c6-a102-da524216d090\",\"user_id\":\"d253bfba-6368-44dc-85f7-0d6da9e45968\"},{\"name\":\"Zany Dewey\",\"description\":\"Flow into the Future of Language.\",\"data\":{\"nodes\":[],\"edges\":[],\"viewport\":{\"zoom\":1,\"x\":0,\"y\":0}},\"is_component\":false,\"updated_at\":\"2023-12-07T00:54:18.848827\",\"folder\":null,\"id\":\"d9425324-bb60-462e-b431-90a536f2bc76\",\"user_id\":\"d253bfba-6368-44dc-85f7-0d6da9e45968\"},{\"name\":\"Gloomy Joliot\",\"description\":\"Language Engineering Excellence.\",\"data\":{\"nodes\":[],\"edges\":[],\"viewport\":{\"zoom\":1,\"x\":0,\"y\":0}},\"is_component\":false,\"updated_at\":\"2023-12-07T00:58:12.348608\",\"folder\":null,\"id\":\"621ba134-3fac-487c-98cd-96941439f1be\",\"user_id\":\"d253bfba-6368-44dc-85f7-0d6da9e45968\"},{\"name\":\"Backstabbing Franklin\",\"description\":\"Craft Language Connections Here.\",\"data\":{\"nodes\":[],\"edges\":[],\"viewport\":{\"zoom\":1,\"x\":0,\"y\":0}},\"is_component\":false,\"updated_at\":\"2023-12-07T00:58:13.491824\",\"folder\":null,\"id\":\"86ca9773-c7b7-4a1a-859a-6cbe0ddff206\",\"user_id\":\"d253bfba-6368-44dc-85f7-0d6da9e45968\"},{\"name\":\"Sharp Swartz\",\"description\":\"Beyond Text Generation - Unleashing Business Opportunities.\",\"data\":{\"nodes\":[],\"edges\":[],\"viewport\":{\"zoom\":1,\"x\":0,\"y\":0}},\"is_component\":false,\"updated_at\":\"2023-12-07T00:58:13.524414\",\"folder\":null,\"id\":\"da1c02b7-d608-4498-9946-7d02f55fa103\",\"user_id\":\"d253bfba-6368-44dc-85f7-0d6da9e45968\"},{\"name\":\"Serene Volta\",\"description\":\"Connect the Dots, Craft Language.\",\"data\":{\"nodes\":[],\"edges\":[],\"viewport\":{\"zoom\":1,\"x\":0,\"y\":0}},\"is_component\":false,\"updated_at\":\"2023-12-07T00:58:13.641432\",\"folder\":null,\"id\":\"8d5dd998-6b51-4f65-8331-086a7f3b11d7\",\"user_id\":\"d253bfba-6368-44dc-85f7-0d6da9e45968\"},{\"name\":\"Focused Lichterman\",\"description\":\"Crafting Dialogues that Drive Business Success.\",\"data\":{\"nodes\":[],\"edges\":[],\"viewport\":{\"zoom\":1,\"x\":0,\"y\":0}},\"is_component\":false,\"updated_at\":\"2023-12-07T00:58:13.746120\",\"folder\":null,\"id\":\"942027d3-e2ea-48c6-8279-0a41b54e8862\",\"user_id\":\"d253bfba-6368-44dc-85f7-0d6da9e45968\"},{\"name\":\"Lively Einstein\",\"description\":\"Unleashing Linguistic Creativity.\",\"data\":{\"nodes\":[],\"edges\":[],\"viewport\":{\"zoom\":1,\"x\":0,\"y\":0}},\"is_component\":false,\"updated_at\":\"2023-12-07T00:58:13.746904\",\"folder\":null,\"id\":\"9e9b6298-1073-4297-8ecc-3c620b432e70\",\"user_id\":\"d253bfba-6368-44dc-85f7-0d6da9e45968\"},{\"name\":\"Cocky Planck\",\"description\":\"Empowering Language Engineering.\",\"data\":{\"nodes\":[],\"edges\":[],\"viewport\":{\"zoom\":1,\"x\":0,\"y\":0}},\"is_component\":false,\"updated_at\":\"2023-12-07T00:58:13.747420\",\"folder\":null,\"id\":\"7cd60c83-b797-4e60-af6d-cbc540657943\",\"user_id\":\"d253bfba-6368-44dc-85f7-0d6da9e45968\"},{\"name\":\"Suspicious Zobell\",\"description\":\"Innovation in Interaction, Revolution in Revenue.\",\"data\":{\"nodes\":[],\"edges\":[],\"viewport\":{\"zoom\":1,\"x\":0,\"y\":0}},\"is_component\":false,\"updated_at\":\"2023-12-07T00:58:13.749951\",\"folder\":null,\"id\":\"dab08306-9521-4e15-aa11-e6a6a4e210f8\",\"user_id\":\"d253bfba-6368-44dc-85f7-0d6da9e45968\"},{\"name\":\"Small Knuth\",\"description\":\"Nurture NLP Nodes Here.\",\"data\":{\"nodes\":[],\"edges\":[],\"viewport\":{\"zoom\":1,\"x\":0,\"y\":0}},\"is_component\":false,\"updated_at\":\"2023-12-07T00:59:16.772119\",\"folder\":null,\"id\":\"c9149590-636a-44f5-aaae-45a4e78fe4df\",\"user_id\":\"d253bfba-6368-44dc-85f7-0d6da9e45968\"},{\"name\":\"Evil Wright\",\"description\":\"Unfolding Linguistic Possibilities.\",\"data\":{\"nodes\":[],\"edges\":[],\"viewport\":{\"zoom\":1,\"x\":0,\"y\":0}},\"is_component\":false,\"updated_at\":\"2023-12-07T00:59:52.954568\",\"folder\":null,\"id\":\"6b23b2ad-c07c-46f6-b9ad-268783d1712e\",\"user_id\":\"d253bfba-6368-44dc-85f7-0d6da9e45968\"},{\"name\":\"Vibrant Lalande\",\"description\":\"Language Models, Mapped and Mastered.\",\"data\":{\"nodes\":[],\"edges\":[],\"viewport\":{\"zoom\":1,\"x\":0,\"y\":0}},\"is_component\":false,\"updated_at\":\"2023-12-07T00:59:53.656156\",\"folder\":null,\"id\":\"ece3bcf6-a147-4559-862e-cacff9db5f48\",\"user_id\":\"d253bfba-6368-44dc-85f7-0d6da9e45968\"},{\"name\":\"Happy Gauss\",\"description\":\"The Pinnacle of Prompt Generation.\",\"data\":{\"nodes\":[],\"edges\":[],\"viewport\":{\"zoom\":1,\"x\":0,\"y\":0}},\"is_component\":false,\"updated_at\":\"2023-12-07T00:59:53.717991\",\"folder\":null,\"id\":\"252b6021-ecad-4eaf-9e2f-106c4c89c496\",\"user_id\":\"d253bfba-6368-44dc-85f7-0d6da9e45968\"},{\"name\":\"Gigantic Rosalind\",\"description\":\"Building Powerful Solutions with Language Models.\",\"data\":{\"nodes\":[],\"edges\":[],\"viewport\":{\"zoom\":1,\"x\":0,\"y\":0}},\"is_component\":false,\"updated_at\":\"2023-12-07T00:59:53.736261\",\"folder\":null,\"id\":\"b8cb6d8d-c0fb-4e8d-a46e-2c608dc8a714\",\"user_id\":\"d253bfba-6368-44dc-85f7-0d6da9e45968\"},{\"name\":\"Adoring Hubble\",\"description\":\"Powerful Prompts, Perfectly Positioned.\",\"data\":{\"nodes\":[],\"edges\":[],\"viewport\":{\"zoom\":1,\"x\":0,\"y\":0}},\"is_component\":false,\"updated_at\":\"2023-12-07T00:59:53.769546\",\"folder\":null,\"id\":\"553a67db-7225-474c-978e-8a40cde2bfb2\",\"user_id\":\"d253bfba-6368-44dc-85f7-0d6da9e45968\"},{\"name\":\"Pensive Mclean\",\"description\":\"Unlock the Power of AI in Your Business Conversations.\",\"data\":{\"nodes\":[],\"edges\":[],\"viewport\":{\"zoom\":1,\"x\":0,\"y\":0}},\"is_component\":false,\"updated_at\":\"2023-12-07T00:59:53.981063\",\"folder\":null,\"id\":\"e0865007-4d80-4edf-87ab-9e8d2892d719\",\"user_id\":\"d253bfba-6368-44dc-85f7-0d6da9e45968\"},{\"name\":\"Trusting Murdock\",\"description\":\"Uncover Business Opportunities with NLP.\",\"data\":{\"nodes\":[],\"edges\":[],\"viewport\":{\"zoom\":1,\"x\":0,\"y\":0}},\"is_component\":false,\"updated_at\":\"2023-12-07T00:59:53.982286\",\"folder\":null,\"id\":\"1021cd20-66e0-4b81-9c79-bfe729774d20\",\"user_id\":\"d253bfba-6368-44dc-85f7-0d6da9e45968\"},{\"name\":\"Perky Riemann\",\"description\":\"Powerful Prompts, Perfectly Positioned.\",\"data\":{\"nodes\":[],\"edges\":[],\"viewport\":{\"zoom\":1,\"x\":0,\"y\":0}},\"is_component\":false,\"updated_at\":\"2023-12-07T00:59:53.983216\",\"folder\":null,\"id\":\"089074d3-8a1e-4d85-a59d-b4717090e4d3\",\"user_id\":\"d253bfba-6368-44dc-85f7-0d6da9e45968\"},{\"name\":\"Small Tesla\",\"description\":\"Language Models, Unleashed.\",\"data\":{\"nodes\":[],\"edges\":[],\"viewport\":{\"zoom\":1,\"x\":0,\"y\":0}},\"is_component\":false,\"updated_at\":\"2023-12-07T01:00:35.704142\",\"folder\":null,\"id\":\"beb49d88-255e-4db4-931b-4ab4358f1097\",\"user_id\":\"d253bfba-6368-44dc-85f7-0d6da9e45968\"},{\"name\":\"Effervescent Boyd\",\"description\":\"Smart Chains, Smarter Conversations.\",\"data\":{\"nodes\":[],\"edges\":[],\"viewport\":{\"zoom\":1,\"x\":0,\"y\":0}},\"is_component\":false,\"updated_at\":\"2023-12-07T01:01:13.569507\",\"folder\":null,\"id\":\"75b5ab8d-e0c0-43cf-912b-8578550e198a\",\"user_id\":\"d253bfba-6368-44dc-85f7-0d6da9e45968\"},{\"name\":\"Small Babbage\",\"description\":\"Interactive Language Weaving.\",\"data\":{\"nodes\":[],\"edges\":[],\"viewport\":{\"zoom\":1,\"x\":0,\"y\":0}},\"is_component\":false,\"updated_at\":\"2023-12-07T01:01:27.944868\",\"folder\":null,\"id\":\"503edd55-8f70-43e5-87fb-2324eaf62336\",\"user_id\":\"d253bfba-6368-44dc-85f7-0d6da9e45968\"},{\"name\":\"Lonely Bose\",\"description\":\"Crafting Dialogues that Drive Business Success.\",\"data\":{\"nodes\":[],\"edges\":[],\"viewport\":{\"zoom\":1,\"x\":0,\"y\":0}},\"is_component\":false,\"updated_at\":\"2023-12-07T01:02:40.122079\",\"folder\":null,\"id\":\"ae4f2992-1a23-4a43-bec6-68b823935762\",\"user_id\":\"d253bfba-6368-44dc-85f7-0d6da9e45968\"},{\"name\":\"Mirthful Coulomb\",\"description\":\"Craft Meaningful Interactions, Generate Value.\",\"data\":{\"nodes\":[],\"edges\":[],\"viewport\":{\"zoom\":1,\"x\":0,\"y\":0}},\"is_component\":false,\"updated_at\":\"2023-12-07T01:03:15.263237\",\"folder\":null,\"id\":\"a2a464db-b02a-4440-ad9e-7b552ee6c027\",\"user_id\":\"d253bfba-6368-44dc-85f7-0d6da9e45968\"},{\"name\":\"Drunk Newton\",\"description\":\"Craft Meaningful Interactions, Generate Value.\",\"data\":{\"nodes\":[],\"edges\":[],\"viewport\":{\"zoom\":1,\"x\":0,\"y\":0}},\"is_component\":false,\"updated_at\":\"2023-12-07T01:03:15.883766\",\"folder\":null,\"id\":\"1a5d9af7-5a96-4035-a09c-e15741785828\",\"user_id\":\"d253bfba-6368-44dc-85f7-0d6da9e45968\"},{\"name\":\"Jovial Pasteur\",\"description\":\"Your Hub for Text Generation.\",\"data\":{\"nodes\":[],\"edges\":[],\"viewport\":{\"zoom\":1,\"x\":0,\"y\":0}},\"is_component\":false,\"updated_at\":\"2023-12-07T01:03:15.933083\",\"folder\":null,\"id\":\"04b94873-0828-41dc-a850-fd4132c9b9f1\",\"user_id\":\"d253bfba-6368-44dc-85f7-0d6da9e45968\"},{\"name\":\"Playful Spence\",\"description\":\"Connect the Dots, Craft Language.\",\"data\":{\"nodes\":[],\"edges\":[],\"viewport\":{\"zoom\":1,\"x\":0,\"y\":0}},\"is_component\":false,\"updated_at\":\"2023-12-07T01:03:15.967685\",\"folder\":null,\"id\":\"47003dc2-7884-48a3-aa66-e4185079f4d9\",\"user_id\":\"d253bfba-6368-44dc-85f7-0d6da9e45968\"},{\"name\":\"Cheerful Noyce\",\"description\":\"Your Passport to Linguistic Landscapes.\",\"data\":{\"nodes\":[],\"edges\":[],\"viewport\":{\"zoom\":1,\"x\":0,\"y\":0}},\"is_component\":false,\"updated_at\":\"2023-12-07T01:03:15.983198\",\"folder\":null,\"id\":\"13769cb4-2e15-4d54-a28a-c97dc15db58c\",\"user_id\":\"d253bfba-6368-44dc-85f7-0d6da9e45968\"},{\"name\":\"Awesome Edison\",\"description\":\"Unfolding Linguistic Possibilities.\",\"data\":{\"nodes\":[],\"edges\":[],\"viewport\":{\"zoom\":1,\"x\":0,\"y\":0}},\"is_component\":false,\"updated_at\":\"2023-12-07T01:03:16.018879\",\"folder\":null,\"id\":\"453dacde-6b10-406b-a5b3-f90f44be6899\",\"user_id\":\"d253bfba-6368-44dc-85f7-0d6da9e45968\"},{\"name\":\"Upbeat Snyder\",\"description\":\"Powerful Prompts, Perfectly Positioned.\",\"data\":{\"nodes\":[],\"edges\":[],\"viewport\":{\"zoom\":1,\"x\":0,\"y\":0}},\"is_component\":false,\"updated_at\":\"2023-12-07T01:03:16.205689\",\"folder\":null,\"id\":\"9544fac9-3002-47aa-86b9-102844fe9649\",\"user_id\":\"d253bfba-6368-44dc-85f7-0d6da9e45968\"},{\"name\":\"Tender Khorana\",\"description\":\"Chain the Words, Master Language!\",\"data\":{\"nodes\":[],\"edges\":[],\"viewport\":{\"zoom\":1,\"x\":0,\"y\":0}},\"is_component\":false,\"updated_at\":\"2023-12-07T01:03:16.243434\",\"folder\":null,\"id\":\"90498ef6-34f9-45c8-8cd0-fe6a36a26f41\",\"user_id\":\"d253bfba-6368-44dc-85f7-0d6da9e45968\"},{\"name\":\"Elated Albattani\",\"description\":\"Interactive Language Weaving.\",\"data\":{\"nodes\":[],\"edges\":[],\"viewport\":{\"zoom\":1,\"x\":0,\"y\":0}},\"is_component\":false,\"updated_at\":\"2023-12-07T01:05:07.775497\",\"folder\":null,\"id\":\"9577c416-8ce8-48f6-ad6d-ab2e003bb415\",\"user_id\":\"d253bfba-6368-44dc-85f7-0d6da9e45968\"},{\"name\":\"Charming Goodall\",\"description\":\"Maximize Impact with Intelligent Conversations.\",\"data\":{\"nodes\":[],\"edges\":[],\"viewport\":{\"zoom\":1,\"x\":0,\"y\":0}},\"is_component\":false,\"updated_at\":\"2023-12-07T01:07:52.139318\",\"folder\":null,\"id\":\"f10dc08e-b9c7-44b3-8837-b95aee2f6dbb\",\"user_id\":\"d253bfba-6368-44dc-85f7-0d6da9e45968\"},{\"name\":\"Hilarious Ramanujan\",\"description\":\"Harness the Power of Conversational AI.\",\"data\":{\"nodes\":[],\"edges\":[],\"viewport\":{\"zoom\":1,\"x\":0,\"y\":0}},\"is_component\":false,\"updated_at\":\"2023-12-07T01:08:22.448480\",\"folder\":null,\"id\":\"c864bd8c-67cd-465f-bf7d-7a35c7df37f3\",\"user_id\":\"d253bfba-6368-44dc-85f7-0d6da9e45968\"},{\"name\":\"Tender Mclean\",\"description\":\"Unleashing Linguistic Creativity.\",\"data\":{\"nodes\":[],\"edges\":[],\"viewport\":{\"zoom\":1,\"x\":0,\"y\":0}},\"is_component\":false,\"updated_at\":\"2023-12-07T01:09:56.507826\",\"folder\":null,\"id\":\"f0c13b19-ae23-40e6-88d6-d135897ee100\",\"user_id\":\"d253bfba-6368-44dc-85f7-0d6da9e45968\"},{\"name\":\"Grave Hawking\",\"description\":\"Building Intelligent Interactions.\",\"data\":{\"nodes\":[],\"edges\":[],\"viewport\":{\"zoom\":1,\"x\":0,\"y\":0}},\"is_component\":false,\"updated_at\":\"2023-12-07T01:10:27.169757\",\"folder\":null,\"id\":\"0afb91b4-8f41-4270-900a-f5de647d45ad\",\"user_id\":\"d253bfba-6368-44dc-85f7-0d6da9e45968\"},{\"name\":\"Gloomy Lovelace\",\"description\":\"Your Passport to Linguistic Landscapes.\",\"data\":{\"nodes\":[],\"edges\":[],\"viewport\":{\"zoom\":1,\"x\":0,\"y\":0}},\"is_component\":false,\"updated_at\":\"2023-12-07T01:11:02.292233\",\"folder\":null,\"id\":\"0f1e5dcf-8769-4157-b495-5f215b490107\",\"user_id\":\"d253bfba-6368-44dc-85f7-0d6da9e45968\"},{\"name\":\"Fervent Kilby\",\"description\":\"Empowering Enterprises with Intelligent Interactions.\",\"data\":{\"nodes\":[],\"edges\":[],\"viewport\":{\"zoom\":1,\"x\":0,\"y\":0}},\"is_component\":false,\"updated_at\":\"2023-12-07T01:11:46.960966\",\"folder\":null,\"id\":\"310d03d9-dd50-4946-9a27-38ee06906212\",\"user_id\":\"d253bfba-6368-44dc-85f7-0d6da9e45968\"},{\"name\":\"Admiring Almeida\",\"description\":\"Language Models, Mapped and Mastered.\",\"data\":{\"nodes\":[],\"edges\":[],\"viewport\":{\"zoom\":1,\"x\":0,\"y\":0}},\"is_component\":false,\"updated_at\":\"2023-12-07T01:12:24.475101\",\"folder\":null,\"id\":\"3cbc8fc2-a86f-4177-9a1c-a833b2a24283\",\"user_id\":\"d253bfba-6368-44dc-85f7-0d6da9e45968\"},{\"name\":\"Elated Roentgen\",\"description\":\"Empowering Enterprises with Intelligent Interactions.\",\"data\":{\"nodes\":[],\"edges\":[],\"viewport\":{\"zoom\":1,\"x\":0,\"y\":0}},\"is_component\":false,\"updated_at\":\"2023-12-07T01:13:06.753571\",\"folder\":null,\"id\":\"c508e922-29e9-4234-84ae-505c5bdf41c1\",\"user_id\":\"d253bfba-6368-44dc-85f7-0d6da9e45968\"},{\"name\":\"Perky Poitras\",\"description\":\"Chain the Words, Master Language!\",\"data\":{\"nodes\":[],\"edges\":[],\"viewport\":{\"zoom\":1,\"x\":0,\"y\":0}},\"is_component\":false,\"updated_at\":\"2023-12-07T01:13:07.754605\",\"folder\":null,\"id\":\"1431df05-1b6f-41af-a063-a18d26a946ef\",\"user_id\":\"d253bfba-6368-44dc-85f7-0d6da9e45968\"},{\"name\":\"Tender Khayyam\",\"description\":\"Navigate the Linguistic Landscape, Discover Opportunities.\",\"data\":{\"nodes\":[],\"edges\":[],\"viewport\":{\"zoom\":1,\"x\":0,\"y\":0}},\"is_component\":false,\"updated_at\":\"2023-12-07T01:13:07.791627\",\"folder\":null,\"id\":\"344e03fb-fd49-4e87-be67-7dce04ba655b\",\"user_id\":\"d253bfba-6368-44dc-85f7-0d6da9e45968\"},{\"name\":\"Zealous Mayer\",\"description\":\"Navigate the Linguistic Landscape, Discover Opportunities.\",\"data\":{\"nodes\":[],\"edges\":[],\"viewport\":{\"zoom\":1,\"x\":0,\"y\":0}},\"is_component\":false,\"updated_at\":\"2023-12-07T01:13:07.803889\",\"folder\":null,\"id\":\"8b3ff1cb-3a6c-46ee-b09a-0e9f9f13a8b9\",\"user_id\":\"d253bfba-6368-44dc-85f7-0d6da9e45968\"},{\"name\":\"Tiny Ramanujan\",\"description\":\"Empowering Communication, Enabling Opportunities.\",\"data\":{\"nodes\":[],\"edges\":[],\"viewport\":{\"zoom\":1,\"x\":0,\"y\":0}},\"is_component\":false,\"updated_at\":\"2023-12-07T01:13:07.822583\",\"folder\":null,\"id\":\"18961e76-f4b1-4968-926a-fed22cb04f69\",\"user_id\":\"d253bfba-6368-44dc-85f7-0d6da9e45968\"},{\"name\":\"Cheerful Franklin\",\"description\":\"Building Intelligent Interactions.\",\"data\":{\"nodes\":[],\"edges\":[],\"viewport\":{\"zoom\":1,\"x\":0,\"y\":0}},\"is_component\":false,\"updated_at\":\"2023-12-07T01:13:07.854440\",\"folder\":null,\"id\":\"0e0ee854-ab46-4333-a848-2e1239a24334\",\"user_id\":\"d253bfba-6368-44dc-85f7-0d6da9e45968\"},{\"name\":\"Serene Swirles\",\"description\":\"Maximize Impact with Intelligent Conversations.\",\"data\":{\"nodes\":[],\"edges\":[],\"viewport\":{\"zoom\":1,\"x\":0,\"y\":0}},\"is_component\":false,\"updated_at\":\"2023-12-07T01:13:07.988932\",\"folder\":null,\"id\":\"cc7b8238-3d15-4f78-bd0c-8311691c9ff8\",\"user_id\":\"d253bfba-6368-44dc-85f7-0d6da9e45968\"},{\"name\":\"Sleepy Swartz\",\"description\":\"Uncover Business Opportunities with NLP.\",\"data\":{\"nodes\":[],\"edges\":[],\"viewport\":{\"zoom\":1,\"x\":0,\"y\":0}},\"is_component\":false,\"updated_at\":\"2023-12-07T01:13:08.028688\",\"folder\":null,\"id\":\"123369f9-c83c-4ed3-93b6-78ca29c271cf\",\"user_id\":\"d253bfba-6368-44dc-85f7-0d6da9e45968\"},{\"name\":\"Cranky Kowalevski\",\"description\":\"Unleashing Linguistic Creativity.\",\"data\":{\"nodes\":[],\"edges\":[],\"viewport\":{\"zoom\":1,\"x\":0,\"y\":0}},\"is_component\":false,\"updated_at\":\"2023-12-07T01:13:59.097607\",\"folder\":null,\"id\":\"ed4b1490-e9e5-46bf-b337-166b48eaadd6\",\"user_id\":\"d253bfba-6368-44dc-85f7-0d6da9e45968\"},{\"name\":\"Sprightly Golick\",\"description\":\"Building Powerful Solutions with Language Models.\",\"data\":{\"nodes\":[],\"edges\":[],\"viewport\":{\"zoom\":1,\"x\":0,\"y\":0}},\"is_component\":false,\"updated_at\":\"2023-12-07T01:13:59.617772\",\"folder\":null,\"id\":\"9d1be311-c618-4e3e-aeb1-4161ab37850e\",\"user_id\":\"d253bfba-6368-44dc-85f7-0d6da9e45968\"},{\"name\":\"Boring Newton\",\"description\":\"Generate, Innovate, Communicate.\",\"data\":{\"nodes\":[],\"edges\":[],\"viewport\":{\"zoom\":1,\"x\":0,\"y\":0}},\"is_component\":false,\"updated_at\":\"2023-12-07T01:13:59.646124\",\"folder\":null,\"id\":\"63a75f99-1745-40d3-9e27-3d19a143be45\",\"user_id\":\"d253bfba-6368-44dc-85f7-0d6da9e45968\"},{\"name\":\"Sprightly Noyce\",\"description\":\"Beyond Text Generation - Unleashing Business Opportunities.\",\"data\":{\"nodes\":[],\"edges\":[],\"viewport\":{\"zoom\":1,\"x\":0,\"y\":0}},\"is_component\":false,\"updated_at\":\"2023-12-07T01:13:59.685781\",\"folder\":null,\"id\":\"b418ca87-eb17-42e8-b789-3fcb0cab3ddb\",\"user_id\":\"d253bfba-6368-44dc-85f7-0d6da9e45968\"},{\"name\":\"Fluffy Fermat\",\"description\":\"Text Generation Meets Business Transformation.\",\"data\":{\"nodes\":[],\"edges\":[],\"viewport\":{\"zoom\":1,\"x\":0,\"y\":0}},\"is_component\":false,\"updated_at\":\"2023-12-07T01:13:59.705984\",\"folder\":null,\"id\":\"93802b07-eee9-4a2b-8691-7d9a231bd67e\",\"user_id\":\"d253bfba-6368-44dc-85f7-0d6da9e45968\"},{\"name\":\"Stoic Payne\",\"description\":\"Beyond Text Generation - Unleashing Business Opportunities.\",\"data\":{\"nodes\":[],\"edges\":[],\"viewport\":{\"zoom\":1,\"x\":0,\"y\":0}},\"is_component\":false,\"updated_at\":\"2023-12-07T01:13:59.723990\",\"folder\":null,\"id\":\"d62df661-0ae5-4b41-a9fb-71cb2e46ad52\",\"user_id\":\"d253bfba-6368-44dc-85f7-0d6da9e45968\"},{\"name\":\"Effervescent Darwin\",\"description\":\"Unleashing Linguistic Creativity.\",\"data\":{\"nodes\":[],\"edges\":[],\"viewport\":{\"zoom\":1,\"x\":0,\"y\":0}},\"is_component\":false,\"updated_at\":\"2023-12-07T01:13:59.818343\",\"folder\":null,\"id\":\"d1f62248-415c-474a-bfa6-3509a528a33b\",\"user_id\":\"d253bfba-6368-44dc-85f7-0d6da9e45968\"},{\"name\":\"Focused Thompson\",\"description\":\"Transform Your Business with Smart Dialogues.\",\"data\":{\"nodes\":[],\"edges\":[],\"viewport\":{\"zoom\":1,\"x\":0,\"y\":0}},\"is_component\":false,\"updated_at\":\"2023-12-07T01:13:59.925999\",\"folder\":null,\"id\":\"d2267176-f020-4c52-90a4-7f944d7c1749\",\"user_id\":\"d253bfba-6368-44dc-85f7-0d6da9e45968\"},{\"name\":\"Admiring Dewey\",\"description\":\"Navigate the Networks of Conversation.\",\"data\":{\"nodes\":[],\"edges\":[],\"viewport\":{\"zoom\":1,\"x\":0,\"y\":0}},\"is_component\":false,\"updated_at\":\"2023-12-07T01:15:07.400402\",\"folder\":null,\"id\":\"8cf1ac8d-d34d-4e8a-a9da-be44672e1dfb\",\"user_id\":\"d253bfba-6368-44dc-85f7-0d6da9e45968\"},{\"name\":\"Prickly Zuse\",\"description\":\"Where Language Meets Logic.\",\"data\":{\"nodes\":[],\"edges\":[],\"viewport\":{\"zoom\":1,\"x\":0,\"y\":0}},\"is_component\":false,\"updated_at\":\"2023-12-07T01:15:08.384611\",\"folder\":null,\"id\":\"bae3cb5b-0f1b-4e95-bf58-7eab38da3d73\",\"user_id\":\"d253bfba-6368-44dc-85f7-0d6da9e45968\"},{\"name\":\"Hungry Zuse\",\"description\":\"The Pinnacle of Prompt Generation.\",\"data\":{\"nodes\":[],\"edges\":[],\"viewport\":{\"zoom\":1,\"x\":0,\"y\":0}},\"is_component\":false,\"updated_at\":\"2023-12-07T01:15:08.436591\",\"folder\":null,\"id\":\"4dfafe3e-e9ef-405d-be72-550084411d69\",\"user_id\":\"d253bfba-6368-44dc-85f7-0d6da9e45968\"},{\"name\":\"Lonely Khayyam\",\"description\":\"Design Dialogues with Langflow.\",\"data\":{\"nodes\":[],\"edges\":[],\"viewport\":{\"zoom\":1,\"x\":0,\"y\":0}},\"is_component\":false,\"updated_at\":\"2023-12-07T01:15:08.435958\",\"folder\":null,\"id\":\"e0f81215-dc55-4b5a-b8cf-6e2fcbf297a7\",\"user_id\":\"d253bfba-6368-44dc-85f7-0d6da9e45968\"},{\"name\":\"Big Mendel\",\"description\":\"Innovation in Interaction with Langflow.\",\"data\":{\"nodes\":[],\"edges\":[],\"viewport\":{\"zoom\":1,\"x\":0,\"y\":0}},\"is_component\":false,\"updated_at\":\"2023-12-07T01:15:08.470080\",\"folder\":null,\"id\":\"5022a71c-da47-4975-a4d0-6d2d9e760d3d\",\"user_id\":\"d253bfba-6368-44dc-85f7-0d6da9e45968\"},{\"name\":\"Inquisitive Poitras\",\"description\":\"Navigate the Networks of Conversation.\",\"data\":{\"nodes\":[],\"edges\":[],\"viewport\":{\"zoom\":1,\"x\":0,\"y\":0}},\"is_component\":false,\"updated_at\":\"2023-12-07T01:15:08.484430\",\"folder\":null,\"id\":\"4f1ff9e3-3500-404c-80af-2010bc46cdcb\",\"user_id\":\"d253bfba-6368-44dc-85f7-0d6da9e45968\"},{\"name\":\"Joyous Jones\",\"description\":\"The Power of Language at Your Fingertips.\",\"data\":{\"nodes\":[],\"edges\":[],\"viewport\":{\"zoom\":1,\"x\":0,\"y\":0}},\"is_component\":false,\"updated_at\":\"2023-12-07T01:15:08.661306\",\"folder\":null,\"id\":\"77af3e47-c2cc-42f6-99e1-78589439a447\",\"user_id\":\"d253bfba-6368-44dc-85f7-0d6da9e45968\"},{\"name\":\"Exuberant Khayyam\",\"description\":\"Empowering Communication, Enabling Opportunities.\",\"data\":{\"nodes\":[],\"edges\":[],\"viewport\":{\"zoom\":1,\"x\":0,\"y\":0}},\"is_component\":false,\"updated_at\":\"2023-12-07T01:15:08.662877\",\"folder\":null,\"id\":\"6f3e2e56-b329-47e3-86cc-024c29203016\",\"user_id\":\"d253bfba-6368-44dc-85f7-0d6da9e45968\"},{\"name\":\"Dazzling Visvesvaraya\",\"description\":\"Maximize Impact with Intelligent Conversations.\",\"data\":{\"nodes\":[],\"edges\":[],\"viewport\":{\"zoom\":1,\"x\":0,\"y\":0}},\"is_component\":false,\"updated_at\":\"2023-12-07T01:16:10.092917\",\"folder\":null,\"id\":\"449ac0ee-ee29-4a9f-9aff-fd6a86624457\",\"user_id\":\"d253bfba-6368-44dc-85f7-0d6da9e45968\"},{\"name\":\"Nostalgic Tesla\",\"description\":\"Nurture NLP Nodes Here.\",\"data\":{\"nodes\":[],\"edges\":[],\"viewport\":{\"zoom\":1,\"x\":0,\"y\":0}},\"is_component\":false,\"updated_at\":\"2023-12-07T01:16:10.630382\",\"folder\":null,\"id\":\"a2136ed3-dc75-4a8f-ab34-6887ff955b23\",\"user_id\":\"d253bfba-6368-44dc-85f7-0d6da9e45968\"},{\"name\":\"Goofy Noether\",\"description\":\"Language Models, Unleashed.\",\"data\":{\"nodes\":[],\"edges\":[],\"viewport\":{\"zoom\":1,\"x\":0,\"y\":0}},\"is_component\":false,\"updated_at\":\"2023-12-07T01:16:10.652058\",\"folder\":null,\"id\":\"fd1080f8-db07-481a-b2ba-60f67fcb20a6\",\"user_id\":\"d253bfba-6368-44dc-85f7-0d6da9e45968\"},{\"name\":\"Dazzling Pasteur\",\"description\":\"Language Models, Unleashed.\",\"data\":{\"nodes\":[],\"edges\":[],\"viewport\":{\"zoom\":1,\"x\":0,\"y\":0}},\"is_component\":false,\"updated_at\":\"2023-12-07T01:16:10.688661\",\"folder\":null,\"id\":\"d534d5e1-92aa-4fb2-a795-7071c4feba47\",\"user_id\":\"d253bfba-6368-44dc-85f7-0d6da9e45968\"},{\"name\":\"Comical Sinoussi\",\"description\":\"Bridging Prompts for Brilliance.\",\"data\":{\"nodes\":[],\"edges\":[],\"viewport\":{\"zoom\":1,\"x\":0,\"y\":0}},\"is_component\":false,\"updated_at\":\"2023-12-07T01:16:10.741385\",\"folder\":null,\"id\":\"85323170-c066-4d8f-acb0-1b142241389e\",\"user_id\":\"d253bfba-6368-44dc-85f7-0d6da9e45968\"},{\"name\":\"Small Ramanujan\",\"description\":\"Uncover Business Opportunities with NLP.\",\"data\":{\"nodes\":[],\"edges\":[],\"viewport\":{\"zoom\":1,\"x\":0,\"y\":0}},\"is_component\":false,\"updated_at\":\"2023-12-07T01:16:10.790086\",\"folder\":null,\"id\":\"b0d18432-21ab-404b-acb6-57ef97353fad\",\"user_id\":\"d253bfba-6368-44dc-85f7-0d6da9e45968\"},{\"name\":\"Sick Joliot\",\"description\":\"Text Generation Meets Business Transformation.\",\"data\":{\"nodes\":[{\"width\":384,\"height\":442,\"id\":\"OpenAIEmbeddings-rVj1B\",\"type\":\"genericNode\",\"position\":{\"x\":-100.23754663035719,\"y\":-718.7575880388187},\"data\":{\"type\":\"OpenAIEmbeddings\",\"node\":{\"template\":{\"allowed_special\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"value\":[],\"password\":false,\"name\":\"allowed_special\",\"advanced\":true,\"dynamic\":false,\"info\":\"\",\"type\":\"str\",\"list\":true},\"async_client\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"password\":false,\"name\":\"async_client\",\"advanced\":true,\"dynamic\":false,\"info\":\"\",\"type\":\"Any\",\"list\":false},\"chunk_size\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"value\":1000,\"password\":false,\"name\":\"chunk_size\",\"advanced\":true,\"dynamic\":false,\"info\":\"\",\"type\":\"int\",\"list\":false},\"client\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"password\":false,\"name\":\"client\",\"advanced\":true,\"dynamic\":false,\"info\":\"\",\"type\":\"Any\",\"list\":false},\"default_headers\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"password\":false,\"name\":\"default_headers\",\"advanced\":true,\"dynamic\":false,\"info\":\"\",\"type\":\"dict\",\"list\":false},\"default_query\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"password\":false,\"name\":\"default_query\",\"advanced\":true,\"dynamic\":false,\"info\":\"\",\"type\":\"dict\",\"list\":false},\"deployment\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"value\":\"text-embedding-ada-002\",\"password\":false,\"name\":\"deployment\",\"advanced\":true,\"dynamic\":false,\"info\":\"\",\"type\":\"str\",\"list\":false},\"disallowed_special\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"value\":\"all\",\"password\":false,\"name\":\"disallowed_special\",\"advanced\":true,\"dynamic\":false,\"info\":\"\",\"type\":\"str\",\"list\":true},\"embedding_ctx_length\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"value\":8191,\"password\":false,\"name\":\"embedding_ctx_length\",\"advanced\":true,\"dynamic\":false,\"info\":\"\",\"type\":\"int\",\"list\":false},\"headers\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":true,\"value\":\"{\\\"Authorization\\\": \\\"Bearer \\\"}\",\"password\":false,\"name\":\"headers\",\"advanced\":true,\"dynamic\":false,\"info\":\"\",\"type\":\"Any\",\"list\":false},\"http_client\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"password\":false,\"name\":\"http_client\",\"advanced\":true,\"dynamic\":false,\"info\":\"\",\"type\":\"Any\",\"list\":false},\"max_retries\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"value\":2,\"password\":false,\"name\":\"max_retries\",\"advanced\":true,\"dynamic\":false,\"info\":\"\",\"type\":\"int\",\"list\":false},\"model\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"value\":\"text-embedding-ada-002\",\"password\":false,\"name\":\"model\",\"advanced\":true,\"dynamic\":false,\"info\":\"\",\"type\":\"str\",\"list\":false},\"model_kwargs\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"password\":false,\"name\":\"model_kwargs\",\"advanced\":true,\"dynamic\":false,\"info\":\"\",\"type\":\"dict\",\"list\":false},\"openai_api_base\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"password\":true,\"name\":\"openai_api_base\",\"display_name\":\"OpenAI API Base\",\"advanced\":true,\"dynamic\":false,\"info\":\"\",\"type\":\"str\",\"list\":false},\"openai_api_key\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"value\":\"\",\"password\":true,\"name\":\"openai_api_key\",\"display_name\":\"OpenAI API Key\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"str\",\"list\":false},\"openai_api_type\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"password\":true,\"name\":\"openai_api_type\",\"display_name\":\"OpenAI API Type\",\"advanced\":true,\"dynamic\":false,\"info\":\"\",\"type\":\"str\",\"list\":false},\"openai_api_version\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"password\":true,\"name\":\"openai_api_version\",\"display_name\":\"OpenAI API Version\",\"advanced\":true,\"dynamic\":false,\"info\":\"\",\"type\":\"str\",\"list\":false},\"openai_organization\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"password\":false,\"name\":\"openai_organization\",\"display_name\":\"OpenAI Organization\",\"advanced\":true,\"dynamic\":false,\"info\":\"\",\"type\":\"str\",\"list\":false},\"openai_proxy\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"password\":false,\"name\":\"openai_proxy\",\"display_name\":\"OpenAI Proxy\",\"advanced\":true,\"dynamic\":false,\"info\":\"\",\"type\":\"str\",\"list\":false},\"request_timeout\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"password\":false,\"name\":\"request_timeout\",\"advanced\":true,\"dynamic\":false,\"info\":\"\",\"type\":\"float\",\"list\":false},\"show_progress_bar\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"value\":false,\"password\":false,\"name\":\"show_progress_bar\",\"advanced\":true,\"dynamic\":false,\"info\":\"\",\"type\":\"bool\",\"list\":false},\"skip_empty\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"value\":false,\"password\":false,\"name\":\"skip_empty\",\"advanced\":true,\"dynamic\":false,\"info\":\"\",\"type\":\"bool\",\"list\":false},\"tiktoken_enabled\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"value\":true,\"password\":true,\"name\":\"tiktoken_enabled\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"bool\",\"list\":false},\"tiktoken_model_name\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"password\":true,\"name\":\"tiktoken_model_name\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"str\",\"list\":false},\"_type\":\"OpenAIEmbeddings\"},\"description\":\"OpenAI embedding models.\",\"base_classes\":[\"OpenAIEmbeddings\",\"Embeddings\"],\"display_name\":\"OpenAIEmbeddings\",\"custom_fields\":{},\"output_types\":[],\"documentation\":\"https://python.langchain.com/docs/modules/data_connection/text_embedding/integrations/openai\",\"beta\":false,\"error\":null},\"id\":\"OpenAIEmbeddings-rVj1B\"},\"selected\":true,\"dragging\":false,\"positionAbsolute\":{\"x\":-100.23754663035719,\"y\":-718.7575880388187}}],\"edges\":[],\"viewport\":{\"x\":267.7156633365312,\"y\":716.9644817529361,\"zoom\":0.7169776240079139}},\"is_component\":false,\"updated_at\":\"2023-12-08T18:52:26.999440\",\"folder\":null,\"id\":\"be39958a-ef42-4fa8-8e54-b611e56b5c97\",\"user_id\":\"d253bfba-6368-44dc-85f7-0d6da9e45968\"},{\"name\":\"Graceful Lumiere\",\"description\":\"Conversational Cartography Unlocked.\",\"data\":{\"nodes\":[],\"edges\":[],\"viewport\":{\"zoom\":1,\"x\":0,\"y\":0}},\"is_component\":false,\"updated_at\":\"2023-12-07T01:16:11.012069\",\"folder\":null,\"id\":\"f7dcecfd-533c-4f40-9dcb-f213962ed1a2\",\"user_id\":\"d253bfba-6368-44dc-85f7-0d6da9e45968\"},{\"name\":\"aaaaa\",\"description\":\"Text Generation Meets Business Transformation.\",\"data\":{\"nodes\":[{\"width\":384,\"height\":442,\"id\":\"OpenAIEmbeddings-P6Z0D\",\"type\":\"genericNode\",\"position\":{\"x\":-100.23754663035719,\"y\":-718.7575880388187},\"data\":{\"type\":\"OpenAIEmbeddings\",\"node\":{\"template\":{\"allowed_special\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"value\":[],\"password\":false,\"name\":\"allowed_special\",\"advanced\":true,\"dynamic\":false,\"info\":\"\",\"type\":\"str\",\"list\":true},\"async_client\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"password\":false,\"name\":\"async_client\",\"advanced\":true,\"dynamic\":false,\"info\":\"\",\"type\":\"Any\",\"list\":false},\"chunk_size\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"value\":1000,\"password\":false,\"name\":\"chunk_size\",\"advanced\":true,\"dynamic\":false,\"info\":\"\",\"type\":\"int\",\"list\":false},\"client\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"password\":false,\"name\":\"client\",\"advanced\":true,\"dynamic\":false,\"info\":\"\",\"type\":\"Any\",\"list\":false},\"default_headers\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"password\":false,\"name\":\"default_headers\",\"advanced\":true,\"dynamic\":false,\"info\":\"\",\"type\":\"dict\",\"list\":false},\"default_query\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"password\":false,\"name\":\"default_query\",\"advanced\":true,\"dynamic\":false,\"info\":\"\",\"type\":\"dict\",\"list\":false},\"deployment\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"value\":\"text-embedding-ada-002\",\"password\":false,\"name\":\"deployment\",\"advanced\":true,\"dynamic\":false,\"info\":\"\",\"type\":\"str\",\"list\":false},\"disallowed_special\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"value\":\"all\",\"password\":false,\"name\":\"disallowed_special\",\"advanced\":true,\"dynamic\":false,\"info\":\"\",\"type\":\"str\",\"list\":true},\"embedding_ctx_length\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"value\":8191,\"password\":false,\"name\":\"embedding_ctx_length\",\"advanced\":true,\"dynamic\":false,\"info\":\"\",\"type\":\"int\",\"list\":false},\"headers\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":true,\"value\":\"{\\\"Authorization\\\": \\\"Bearer \\\"}\",\"password\":false,\"name\":\"headers\",\"advanced\":true,\"dynamic\":false,\"info\":\"\",\"type\":\"Any\",\"list\":false},\"http_client\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"password\":false,\"name\":\"http_client\",\"advanced\":true,\"dynamic\":false,\"info\":\"\",\"type\":\"Any\",\"list\":false},\"max_retries\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"value\":2,\"password\":false,\"name\":\"max_retries\",\"advanced\":true,\"dynamic\":false,\"info\":\"\",\"type\":\"int\",\"list\":false},\"model\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"value\":\"text-embedding-ada-002\",\"password\":false,\"name\":\"model\",\"advanced\":true,\"dynamic\":false,\"info\":\"\",\"type\":\"str\",\"list\":false},\"model_kwargs\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"password\":false,\"name\":\"model_kwargs\",\"advanced\":true,\"dynamic\":false,\"info\":\"\",\"type\":\"dict\",\"list\":false},\"openai_api_base\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"password\":true,\"name\":\"openai_api_base\",\"display_name\":\"OpenAI API Base\",\"advanced\":true,\"dynamic\":false,\"info\":\"\",\"type\":\"str\",\"list\":false,\"value\":\"\"},\"openai_api_key\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"value\":\"\",\"password\":true,\"name\":\"openai_api_key\",\"display_name\":\"OpenAI API Key\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"str\",\"list\":false},\"openai_api_type\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"password\":true,\"name\":\"openai_api_type\",\"display_name\":\"OpenAI API Type\",\"advanced\":true,\"dynamic\":false,\"info\":\"\",\"type\":\"str\",\"list\":false,\"value\":\"\"},\"openai_api_version\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"password\":true,\"name\":\"openai_api_version\",\"display_name\":\"OpenAI API Version\",\"advanced\":true,\"dynamic\":false,\"info\":\"\",\"type\":\"str\",\"list\":false,\"value\":\"\"},\"openai_organization\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"password\":false,\"name\":\"openai_organization\",\"display_name\":\"OpenAI Organization\",\"advanced\":true,\"dynamic\":false,\"info\":\"\",\"type\":\"str\",\"list\":false},\"openai_proxy\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"password\":false,\"name\":\"openai_proxy\",\"display_name\":\"OpenAI Proxy\",\"advanced\":true,\"dynamic\":false,\"info\":\"\",\"type\":\"str\",\"list\":false},\"request_timeout\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"password\":false,\"name\":\"request_timeout\",\"advanced\":true,\"dynamic\":false,\"info\":\"\",\"type\":\"float\",\"list\":false},\"show_progress_bar\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"value\":false,\"password\":false,\"name\":\"show_progress_bar\",\"advanced\":true,\"dynamic\":false,\"info\":\"\",\"type\":\"bool\",\"list\":false},\"skip_empty\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"value\":false,\"password\":false,\"name\":\"skip_empty\",\"advanced\":true,\"dynamic\":false,\"info\":\"\",\"type\":\"bool\",\"list\":false},\"tiktoken_enabled\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"value\":true,\"password\":true,\"name\":\"tiktoken_enabled\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"bool\",\"list\":false},\"tiktoken_model_name\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"password\":true,\"name\":\"tiktoken_model_name\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"str\",\"list\":false,\"value\":\"\"},\"_type\":\"OpenAIEmbeddings\"},\"description\":\"OpenAI embedding models.\",\"base_classes\":[\"OpenAIEmbeddings\",\"Embeddings\"],\"display_name\":\"OpenAIEmbeddings\",\"custom_fields\":{},\"output_types\":[],\"documentation\":\"https://python.langchain.com/docs/modules/data_connection/text_embedding/integrations/openai\",\"beta\":false,\"error\":null},\"id\":\"OpenAIEmbeddings-P6Z0D\"},\"selected\":true,\"dragging\":false,\"positionAbsolute\":{\"x\":-100.23754663035719,\"y\":-718.7575880388187}}],\"edges\":[],\"viewport\":{\"x\":266.7156633365312,\"y\":657.9644817529361,\"zoom\":0.7169776240079139}},\"is_component\":false,\"updated_at\":\"2023-12-08T19:05:14.503144\",\"folder\":null,\"id\":\"c2411a20-57c6-44cc-a0d0-2c857453633d\",\"user_id\":\"d253bfba-6368-44dc-85f7-0d6da9e45968\"},{\"name\":\"Lively Aryabhata\",\"description\":\"Design, Develop, Dialogize.\",\"data\":{\"nodes\":[{\"width\":384,\"height\":459,\"id\":\"CustomComponent-Qhbd7\",\"type\":\"genericNode\",\"position\":{\"x\":-224.36198532285903,\"y\":-39.03047722134913},\"data\":{\"type\":\"CustomComponent\",\"node\":{\"template\":{\"code\":{\"dynamic\":true,\"required\":true,\"placeholder\":\"\",\"show\":true,\"multiline\":true,\"value\":\"from langflow import CustomComponent\\nfrom langflow.field_typing import Data\\nfrom openai import OpenAI\\n\\n\\nclass Component(CustomComponent):\\n display_name: str = \\\"OpenAI STT english translator\\\"\\n description: str = \\\"Transcript and translate any audio to english\\\"\\n documentation: str = \\\"http://docs.langflow.org/components/custom\\\"\\n\\n def build_config(self):\\n return {\\\"audio_path\\\":{\\\"display_name\\\":\\\"Audio path\\\",\\\"input_types\\\":[\\\"str\\\"]},\\\"openAI_key\\\":{\\\"display_name\\\":\\\"OpenAI key\\\",\\\"password\\\":True}}\\n\\n def build(self,audio_path:str,openAI_key:str) -> str:\\n client = OpenAI(api_key=openAI_key)\\n audio_file= open(audio_path, \\\"rb\\\")\\n transcript = client.audio.translations.create(\\n model=\\\"whisper-1\\\", \\n file=audio_file\\n )\\n self.status = transcript.text\\n return transcript.text\\n\",\"password\":false,\"name\":\"code\",\"advanced\":false,\"type\":\"code\",\"list\":false},\"_type\":\"CustomComponent\",\"audio_path\":{\"required\":true,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"password\":false,\"name\":\"audio_path\",\"display_name\":\"Audio path\",\"advanced\":false,\"input_types\":[\"str\"],\"dynamic\":false,\"info\":\"\",\"type\":\"str\",\"list\":false,\"value\":\"aaaaa\"},\"openAI_key\":{\"required\":true,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"password\":true,\"name\":\"openAI_key\",\"display_name\":\"OpenAI key\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"str\",\"list\":false,\"value\":\"\"}},\"description\":\"Transcript and translate any audio to english\",\"base_classes\":[\"str\"],\"display_name\":\"OpenAI STT english tra\",\"custom_fields\":{\"audio_path\":null,\"openAI_key\":null},\"output_types\":[\"str\"],\"documentation\":\"http://docs.langflow.org/components/custom\",\"beta\":true,\"error\":null,\"official\":false},\"id\":\"CustomComponent-Qhbd7\"},\"selected\":true,\"dragging\":false,\"positionAbsolute\":{\"x\":-224.36198532285903,\"y\":-39.03047722134913}}],\"edges\":[],\"viewport\":{\"x\":433.8372868055629,\"y\":250.9611989970935,\"zoom\":0.8467453123625275}},\"is_component\":false,\"updated_at\":\"2023-12-08T21:16:56.971879\",\"folder\":null,\"id\":\"122eee5d-9734-4e51-9da5-b39bead64a8d\",\"user_id\":\"d253bfba-6368-44dc-85f7-0d6da9e45968\"},{\"name\":\"Goofy Wing\",\"description\":\"Your Toolkit for Text Generation.\",\"data\":{\"nodes\":[],\"edges\":[],\"viewport\":{\"zoom\":1,\"x\":0,\"y\":0}},\"is_component\":false,\"updated_at\":\"2023-12-08T21:18:23.227017\",\"folder\":null,\"id\":\"171d0063-6446-4c6a-8f5b-786a38951d44\",\"user_id\":\"d253bfba-6368-44dc-85f7-0d6da9e45968\"},{\"name\":\"Mad Boyd\",\"description\":\"Empowering Language Engineering.\",\"data\":{\"nodes\":[],\"edges\":[],\"viewport\":{\"zoom\":1,\"x\":0,\"y\":0}},\"is_component\":false,\"updated_at\":\"2023-12-08T21:18:24.063781\",\"folder\":null,\"id\":\"3a7af50c-6555-4004-a86e-1ea37e477900\",\"user_id\":\"d253bfba-6368-44dc-85f7-0d6da9e45968\"},{\"name\":\"Boring Dewey\",\"description\":\"Unleashing Linguistic Creativity.\",\"data\":{\"nodes\":[],\"edges\":[],\"viewport\":{\"zoom\":1,\"x\":0,\"y\":0}},\"is_component\":false,\"updated_at\":\"2023-12-08T21:18:24.065404\",\"folder\":null,\"id\":\"dc4b4235-a550-41e2-9ddb-bcb352a1bc03\",\"user_id\":\"d253bfba-6368-44dc-85f7-0d6da9e45968\"},{\"name\":\"Nauseous Carroll\",\"description\":\"Navigate the Networks of Conversation.\",\"data\":{\"nodes\":[],\"edges\":[],\"viewport\":{\"zoom\":1,\"x\":0,\"y\":0}},\"is_component\":false,\"updated_at\":\"2023-12-08T21:18:24.087501\",\"folder\":null,\"id\":\"9550e2bf-db7a-41f5-84e5-177a181bbeda\",\"user_id\":\"d253bfba-6368-44dc-85f7-0d6da9e45968\"},{\"name\":\"Silly Engelbart\",\"description\":\"Generate, Innovate, Communicate.\",\"data\":{\"nodes\":[],\"edges\":[],\"viewport\":{\"zoom\":1,\"x\":0,\"y\":0}},\"is_component\":false,\"updated_at\":\"2023-12-08T21:18:24.112543\",\"folder\":null,\"id\":\"6a3a24bb-01cb-4d8e-8d17-0dc92d257322\",\"user_id\":\"d253bfba-6368-44dc-85f7-0d6da9e45968\"},{\"name\":\"Sassy Khayyam\",\"description\":\"Innovation in Interaction, Revolution in Revenue.\",\"data\":{\"nodes\":[],\"edges\":[],\"viewport\":{\"zoom\":1,\"x\":0,\"y\":0}},\"is_component\":false,\"updated_at\":\"2023-12-08T21:18:24.147631\",\"folder\":null,\"id\":\"8d372f5e-ca12-4ea8-a1a1-8846afa72692\",\"user_id\":\"d253bfba-6368-44dc-85f7-0d6da9e45968\"},{\"name\":\"Mirthful Bell\",\"description\":\"Connect the Dots, Craft Language.\",\"data\":{\"nodes\":[],\"edges\":[],\"viewport\":{\"zoom\":1,\"x\":0,\"y\":0}},\"is_component\":false,\"updated_at\":\"2023-12-08T21:18:24.212921\",\"folder\":null,\"id\":\"800f8785-0f41-4db3-aef8-9e3de5250526\",\"user_id\":\"d253bfba-6368-44dc-85f7-0d6da9e45968\"},{\"name\":\"Sleepy Bassi\",\"description\":\"Unleashing Business Potential through Language Engineering.\",\"data\":{\"nodes\":[],\"edges\":[],\"viewport\":{\"zoom\":1,\"x\":0,\"y\":0}},\"is_component\":false,\"updated_at\":\"2023-12-08T21:18:24.395729\",\"folder\":null,\"id\":\"4589607a-065b-4a8f-ba52-5045d7b04086\",\"user_id\":\"d253bfba-6368-44dc-85f7-0d6da9e45968\"},{\"name\":\"Lonely Volhard\",\"description\":\"Where Language Meets Logic.\",\"data\":{\"nodes\":[],\"edges\":[],\"viewport\":{\"zoom\":1,\"x\":0,\"y\":0}},\"is_component\":false,\"updated_at\":\"2023-12-08T21:20:33.263971\",\"folder\":null,\"id\":\"b2440ed8-44fa-4684-adf7-b5e84bff6577\",\"user_id\":\"d253bfba-6368-44dc-85f7-0d6da9e45968\"},{\"name\":\"Ecstatic Poincare\",\"description\":\"Your Passport to Linguistic Landscapes.\",\"data\":{\"nodes\":[],\"edges\":[],\"viewport\":{\"zoom\":1,\"x\":0,\"y\":0}},\"is_component\":false,\"updated_at\":\"2023-12-08T21:20:33.377270\",\"folder\":null,\"id\":\"b996f514-e0b8-432f-969b-7276630a8f4b\",\"user_id\":\"d253bfba-6368-44dc-85f7-0d6da9e45968\"},{\"name\":\"Grave Zuse\",\"description\":\"Text Generation Meets Business Transformation.\",\"data\":{\"nodes\":[],\"edges\":[],\"viewport\":{\"zoom\":1,\"x\":0,\"y\":0}},\"is_component\":false,\"updated_at\":\"2023-12-08T21:20:33.406385\",\"folder\":null,\"id\":\"6e2e9c12-0afc-499e-acdd-adf4b5f7d4fc\",\"user_id\":\"d253bfba-6368-44dc-85f7-0d6da9e45968\"},{\"name\":\"Big Hopper\",\"description\":\"Conversation Catalyst Engine.\",\"data\":{\"nodes\":[],\"edges\":[],\"viewport\":{\"zoom\":1,\"x\":0,\"y\":0}},\"is_component\":false,\"updated_at\":\"2023-12-08T21:20:33.413014\",\"folder\":null,\"id\":\"e020f1a5-aa12-45e7-ba50-6eb64a735e60\",\"user_id\":\"d253bfba-6368-44dc-85f7-0d6da9e45968\"},{\"name\":\"Gleeful Jang\",\"description\":\"Conversation Catalyst Engine.\",\"data\":{\"nodes\":[],\"edges\":[],\"viewport\":{\"zoom\":1,\"x\":0,\"y\":0}},\"is_component\":false,\"updated_at\":\"2023-12-08T21:20:33.433045\",\"folder\":null,\"id\":\"ee58f892-b7b2-408e-b4b9-9d862fc315aa\",\"user_id\":\"d253bfba-6368-44dc-85f7-0d6da9e45968\"},{\"name\":\"Twinkly Ohm\",\"description\":\"Promptly Ingenious!\",\"data\":{\"nodes\":[],\"edges\":[],\"viewport\":{\"zoom\":1,\"x\":0,\"y\":0}},\"is_component\":false,\"updated_at\":\"2023-12-08T21:20:33.403404\",\"folder\":null,\"id\":\"023a1fc3-8807-4167-b6b2-f4e5daf036f1\",\"user_id\":\"d253bfba-6368-44dc-85f7-0d6da9e45968\"},{\"name\":\"Distracted Degrasse\",\"description\":\"Bridging Prompts for Brilliance.\",\"data\":{\"nodes\":[],\"edges\":[],\"viewport\":{\"zoom\":1,\"x\":0,\"y\":0}},\"is_component\":false,\"updated_at\":\"2023-12-08T21:20:33.411655\",\"folder\":null,\"id\":\"085f106f-c1e9-4a0f-ba31-d2fafe685d9c\",\"user_id\":\"d253bfba-6368-44dc-85f7-0d6da9e45968\"},{\"name\":\"Exuberant Volta\",\"description\":\"Catalyzing Business Growth through Conversational AI.\",\"data\":{\"nodes\":[],\"edges\":[],\"viewport\":{\"zoom\":1,\"x\":0,\"y\":0}},\"is_component\":false,\"updated_at\":\"2023-12-08T21:20:33.408697\",\"folder\":null,\"id\":\"14481bb5-1353-452f-9359-d38c9419d79c\",\"user_id\":\"d253bfba-6368-44dc-85f7-0d6da9e45968\"},{\"name\":\"Goofy Bose\",\"description\":\"Conversational Cartography Unlocked.\",\"data\":{\"nodes\":[],\"edges\":[],\"viewport\":{\"zoom\":1,\"x\":0,\"y\":0}},\"is_component\":false,\"updated_at\":\"2023-12-08T21:22:21.774940\",\"folder\":null,\"id\":\"e9316292-4ee1-441b-8327-0b09a7831fe9\",\"user_id\":\"d253bfba-6368-44dc-85f7-0d6da9e45968\"},{\"name\":\"Thirsty Easley\",\"description\":\"Language Models, Mapped and Mastered.\",\"data\":{\"nodes\":[],\"edges\":[],\"viewport\":{\"zoom\":1,\"x\":0,\"y\":0}},\"is_component\":false,\"updated_at\":\"2023-12-08T21:22:22.416556\",\"folder\":null,\"id\":\"668806ba-3efa-44de-aeb7-4ac082ba9172\",\"user_id\":\"d253bfba-6368-44dc-85f7-0d6da9e45968\"},{\"name\":\"Joyous Mestorf\",\"description\":\"Generate, Innovate, Communicate.\",\"data\":{\"nodes\":[],\"edges\":[],\"viewport\":{\"zoom\":1,\"x\":0,\"y\":0}},\"is_component\":false,\"updated_at\":\"2023-12-08T21:22:22.484048\",\"folder\":null,\"id\":\"3fc0a371-aada-4450-9d17-33d3cc05c870\",\"user_id\":\"d253bfba-6368-44dc-85f7-0d6da9e45968\"},{\"name\":\"Playful Franklin\",\"description\":\"Empowering Language Engineering.\",\"data\":{\"nodes\":[],\"edges\":[],\"viewport\":{\"zoom\":1,\"x\":0,\"y\":0}},\"is_component\":false,\"updated_at\":\"2023-12-08T21:22:22.509095\",\"folder\":null,\"id\":\"af967c98-5f08-4ee2-b1ce-6c16b4f9ebe2\",\"user_id\":\"d253bfba-6368-44dc-85f7-0d6da9e45968\"},{\"name\":\"Goofy Bhaskara\",\"description\":\"Empowering Enterprises with Intelligent Interactions.\",\"data\":{\"nodes\":[],\"edges\":[],\"viewport\":{\"zoom\":1,\"x\":0,\"y\":0}},\"is_component\":false,\"updated_at\":\"2023-12-08T21:22:22.508465\",\"folder\":null,\"id\":\"758c4164-b521-45d0-a15f-d49480e312eb\",\"user_id\":\"d253bfba-6368-44dc-85f7-0d6da9e45968\"},{\"name\":\"Funky Edison\",\"description\":\"Unravel the Art of Articulation.\",\"data\":{\"nodes\":[],\"edges\":[],\"viewport\":{\"zoom\":1,\"x\":0,\"y\":0}},\"is_component\":false,\"updated_at\":\"2023-12-08T21:22:22.602296\",\"folder\":null,\"id\":\"f9d3d30f-8859-433f-bafc-ccf1a7196e35\",\"user_id\":\"d253bfba-6368-44dc-85f7-0d6da9e45968\"},{\"name\":\"Silly Ride\",\"description\":\"Unfolding Linguistic Possibilities.\",\"data\":{\"nodes\":[],\"edges\":[],\"viewport\":{\"zoom\":1,\"x\":0,\"y\":0}},\"is_component\":false,\"updated_at\":\"2023-12-08T21:22:22.604061\",\"folder\":null,\"id\":\"0142bca5-eb61-42ed-9917-70c4c0f54eb0\",\"user_id\":\"d253bfba-6368-44dc-85f7-0d6da9e45968\"},{\"name\":\"Goofy Noyce\",\"description\":\"Text Generation Meets Business Transformation.\",\"data\":{\"nodes\":[],\"edges\":[],\"viewport\":{\"zoom\":1,\"x\":0,\"y\":0}},\"is_component\":false,\"updated_at\":\"2023-12-08T21:22:22.603113\",\"folder\":null,\"id\":\"0b63d036-4669-4ceb-8ea4-34035340df77\",\"user_id\":\"d253bfba-6368-44dc-85f7-0d6da9e45968\"},{\"name\":\"Cocky Bhabha\",\"description\":\"Language Engineering Excellence.\",\"data\":{\"nodes\":[],\"edges\":[],\"viewport\":{\"zoom\":1,\"x\":0,\"y\":0}},\"is_component\":false,\"updated_at\":\"2023-12-08T21:23:07.345767\",\"folder\":null,\"id\":\"8b9a66d4-a924-4b84-a2b5-5dd0645ac07a\",\"user_id\":\"d253bfba-6368-44dc-85f7-0d6da9e45968\"},{\"name\":\"Thirsty Zobell\",\"description\":\"Unleashing Business Potential through Language Engineering.\",\"data\":{\"nodes\":[],\"edges\":[],\"viewport\":{\"zoom\":1,\"x\":0,\"y\":0}},\"is_component\":false,\"updated_at\":\"2023-12-08T21:23:07.722319\",\"folder\":null,\"id\":\"c912fd6b-b32d-409f-a0e5-c6249b066429\",\"user_id\":\"d253bfba-6368-44dc-85f7-0d6da9e45968\"},{\"name\":\"Fervent Shaw\",\"description\":\"Language Architect at Work!\",\"data\":{\"nodes\":[],\"edges\":[],\"viewport\":{\"zoom\":1,\"x\":0,\"y\":0}},\"is_component\":false,\"updated_at\":\"2023-12-08T21:23:07.750779\",\"folder\":null,\"id\":\"9d755cd4-c652-43e0-a68d-75a5475ce7a3\",\"user_id\":\"d253bfba-6368-44dc-85f7-0d6da9e45968\"},{\"name\":\"Giggly Newton\",\"description\":\"Navigate the Linguistic Landscape, Discover Opportunities.\",\"data\":{\"nodes\":[],\"edges\":[],\"viewport\":{\"zoom\":1,\"x\":0,\"y\":0}},\"is_component\":false,\"updated_at\":\"2023-12-08T21:23:07.786602\",\"folder\":null,\"id\":\"0d3af7de-1ada-4c43-a69f-1bfad370ccfc\",\"user_id\":\"d253bfba-6368-44dc-85f7-0d6da9e45968\"},{\"name\":\"Modest Yalow\",\"description\":\"Text Generation Meets Business Transformation.\",\"data\":{\"nodes\":[],\"edges\":[],\"viewport\":{\"zoom\":1,\"x\":0,\"y\":0}},\"is_component\":false,\"updated_at\":\"2023-12-08T21:23:07.792245\",\"folder\":null,\"id\":\"b6444376-4162-436b-8b40-f5a6afc850db\",\"user_id\":\"d253bfba-6368-44dc-85f7-0d6da9e45968\"},{\"name\":\"Sad Bhabha\",\"description\":\"Empowering Enterprises with Intelligent Interactions.\",\"data\":{\"nodes\":[],\"edges\":[],\"viewport\":{\"zoom\":1,\"x\":0,\"y\":0}},\"is_component\":false,\"updated_at\":\"2023-12-08T21:23:07.890349\",\"folder\":null,\"id\":\"d90af439-fb34-4d27-98f2-06f7f9a9ed8c\",\"user_id\":\"d253bfba-6368-44dc-85f7-0d6da9e45968\"},{\"name\":\"Spirited Hoover\",\"description\":\"The Pinnacle of Prompt Generation.\",\"data\":{\"nodes\":[],\"edges\":[],\"viewport\":{\"zoom\":1,\"x\":0,\"y\":0}},\"is_component\":false,\"updated_at\":\"2023-12-08T21:23:07.905750\",\"folder\":null,\"id\":\"31597ce2-de3c-490b-9ead-3f702f63cfd9\",\"user_id\":\"d253bfba-6368-44dc-85f7-0d6da9e45968\"},{\"name\":\"Trusting Davinci\",\"description\":\"Design, Develop, Dialogize.\",\"data\":{\"nodes\":[],\"edges\":[],\"viewport\":{\"zoom\":1,\"x\":0,\"y\":0}},\"is_component\":false,\"updated_at\":\"2023-12-08T21:23:08.001400\",\"folder\":null,\"id\":\"b43c63e9-a257-4a53-8acc-049e13706ac2\",\"user_id\":\"d253bfba-6368-44dc-85f7-0d6da9e45968\"},{\"name\":\"23\",\"description\":\"23\",\"data\":{\"nodes\":[{\"width\":384,\"height\":467,\"id\":\"PromptTemplate-K7xiS\",\"type\":\"genericNode\",\"position\":{\"x\":-658.2250903773149,\"y\":809.352046606987},\"data\":{\"type\":\"PromptTemplate\",\"node\":{\"template\":{\"output_parser\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"password\":false,\"name\":\"output_parser\",\"advanced\":false,\"dynamic\":true,\"info\":\"\",\"type\":\"BaseOutputParser\",\"list\":false},\"input_types\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"password\":false,\"name\":\"input_types\",\"advanced\":false,\"dynamic\":true,\"info\":\"\",\"type\":\"dict\",\"list\":false},\"input_variables\":{\"required\":true,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"password\":false,\"name\":\"input_variables\",\"advanced\":false,\"dynamic\":true,\"info\":\"\",\"type\":\"str\",\"list\":true,\"value\":[\"dasdas\",\"dasdasd\"]},\"partial_variables\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"password\":false,\"name\":\"partial_variables\",\"advanced\":false,\"dynamic\":true,\"info\":\"\",\"type\":\"dict\",\"list\":false},\"template\":{\"required\":true,\"placeholder\":\"\",\"show\":true,\"multiline\":true,\"password\":false,\"name\":\"template\",\"advanced\":false,\"dynamic\":true,\"info\":\"\",\"type\":\"prompt\",\"list\":false,\"value\":\"{dasdas}\\n{dasdasd}\\n\"},\"template_format\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"value\":\"f-string\",\"password\":false,\"name\":\"template_format\",\"advanced\":false,\"dynamic\":true,\"info\":\"\",\"type\":\"str\",\"list\":false},\"validate_template\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"value\":false,\"password\":false,\"name\":\"validate_template\",\"advanced\":false,\"dynamic\":true,\"info\":\"\",\"type\":\"bool\",\"list\":false},\"_type\":\"PromptTemplate\",\"dasdas\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":true,\"value\":\"\",\"password\":false,\"name\":\"dasdas\",\"display_name\":\"dasdas\",\"advanced\":false,\"input_types\":[\"Document\",\"BaseOutputParser\"],\"dynamic\":false,\"info\":\"\",\"type\":\"str\",\"list\":false},\"dasdasd\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":true,\"value\":\"\",\"password\":false,\"name\":\"dasdasd\",\"display_name\":\"dasdasd\",\"advanced\":false,\"input_types\":[\"Document\",\"BaseOutputParser\"],\"dynamic\":false,\"info\":\"\",\"type\":\"str\",\"list\":false}},\"description\":\"A prompt template for a language model.\",\"base_classes\":[\"PromptTemplate\",\"BasePromptTemplate\",\"StringPromptTemplate\"],\"name\":\"\",\"display_name\":\"PromptTemplate\",\"documentation\":\"https://python.langchain.com/docs/modules/model_io/prompts/prompt_templates/\",\"custom_fields\":{\"\":[\"dasdas\",\"dasdasd\"]},\"output_types\":[],\"full_path\":null,\"field_formatters\":{},\"beta\":false,\"error\":null},\"id\":\"PromptTemplate-K7xiS\"},\"selected\":false,\"positionAbsolute\":{\"x\":-658.2250903773149,\"y\":809.352046606987},\"dragging\":false},{\"width\":384,\"height\":366,\"id\":\"AirbyteJSONLoader-DXfcM\",\"type\":\"genericNode\",\"position\":{\"x\":-1110.8267574563533,\"y\":569.1107380883907},\"data\":{\"type\":\"AirbyteJSONLoader\",\"node\":{\"template\":{\"file_path\":{\"required\":true,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"value\":\"\",\"suffixes\":[\".json\"],\"password\":false,\"name\":\"file_path\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"file\",\"list\":false,\"fileTypes\":[\"json\"],\"file_path\":null},\"metadata\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"value\":[{\"\":\"\"}],\"password\":false,\"name\":\"metadata\",\"display_name\":\"Metadata\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"dict\",\"list\":false},\"_type\":\"AirbyteJSONLoader\"},\"description\":\"Load local `Airbyte` json files.\",\"base_classes\":[\"Document\"],\"display_name\":\"AirbyteJSONLoader\",\"custom_fields\":{},\"output_types\":[\"Document\"],\"documentation\":\"https://python.langchain.com/docs/modules/data_connection/document_loaders/integrations/airbyte_json\",\"beta\":false,\"error\":null,\"official\":false},\"id\":\"AirbyteJSONLoader-DXfcM\"},\"selected\":false,\"positionAbsolute\":{\"x\":-1110.8267574563533,\"y\":569.1107380883907},\"dragging\":false},{\"width\":384,\"height\":376,\"id\":\"PromptRunner-ckWMH\",\"type\":\"genericNode\",\"position\":{\"x\":-1149.4746387825978,\"y\":992.3970573758324},\"data\":{\"type\":\"PromptRunner\",\"node\":{\"template\":{\"code\":{\"dynamic\":true,\"required\":true,\"placeholder\":\"\",\"show\":false,\"multiline\":true,\"value\":\"from langflow import CustomComponent\\n\\nfrom langchain.llms.base import BaseLLM\\nfrom langchain.prompts import PromptTemplate\\nfrom langchain.schema import Document\\n\\n\\nclass PromptRunner(CustomComponent):\\n display_name: str = \\\"Prompt Runner\\\"\\n description: str = \\\"Run a Chain with the given PromptTemplate\\\"\\n beta: bool = True\\n field_config = {\\n \\\"llm\\\": {\\\"display_name\\\": \\\"LLM\\\"},\\n \\\"prompt\\\": {\\n \\\"display_name\\\": \\\"Prompt Template\\\",\\n \\\"info\\\": \\\"Make sure the prompt has all variables filled.\\\",\\n },\\n \\\"code\\\": {\\\"show\\\": False},\\n }\\n\\n def build(self, llm: BaseLLM, prompt: PromptTemplate, inputs: dict = {}) -> Document:\\n chain = prompt | llm\\n # The input is an empty dict because the prompt is already filled\\n result = chain.invoke(input=inputs)\\n if hasattr(result, \\\"content\\\"):\\n result = result.content\\n self.repr_value = result\\n return Document(page_content=str(result))\\n\",\"password\":false,\"name\":\"code\",\"advanced\":false,\"type\":\"code\",\"list\":false},\"_type\":\"CustomComponent\",\"inputs\":{\"required\":true,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"value\":[{\"\":\"\"}],\"password\":false,\"name\":\"inputs\",\"display_name\":\"inputs\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"dict\",\"list\":false},\"llm\":{\"required\":true,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"password\":false,\"name\":\"llm\",\"display_name\":\"LLM\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"BaseLLM\",\"list\":false},\"prompt\":{\"required\":true,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"password\":false,\"name\":\"prompt\",\"display_name\":\"Prompt Template\",\"advanced\":false,\"dynamic\":false,\"info\":\"Make sure the prompt has all variables filled.\",\"type\":\"PromptTemplate\",\"list\":false}},\"description\":\"Run a Chain with the given PromptTemplate\",\"base_classes\":[\"Document\"],\"display_name\":\"Prompt Runner\",\"custom_fields\":{\"inputs\":null,\"llm\":null,\"prompt\":null},\"output_types\":[\"PromptRunner\"],\"documentation\":\"\",\"beta\":true,\"error\":null},\"id\":\"PromptRunner-ckWMH\"},\"selected\":false,\"positionAbsolute\":{\"x\":-1149.4746387825978,\"y\":992.3970573758324},\"dragging\":false}],\"edges\":[{\"source\":\"PromptRunner-ckWMH\",\"sourceHandle\":\"{œbaseClassesœ:[œDocumentœ],œdataTypeœ:œPromptRunnerœ,œidœ:œPromptRunner-ckWMHœ}\",\"target\":\"PromptTemplate-K7xiS\",\"targetHandle\":\"{œfieldNameœ:œdasdasdœ,œidœ:œPromptTemplate-K7xiSœ,œinputTypesœ:[œDocumentœ,œBaseOutputParserœ],œtypeœ:œstrœ}\",\"data\":{\"targetHandle\":{\"fieldName\":\"dasdasd\",\"id\":\"PromptTemplate-K7xiS\",\"inputTypes\":[\"Document\",\"BaseOutputParser\"],\"type\":\"str\"},\"sourceHandle\":{\"baseClasses\":[\"Document\"],\"dataType\":\"PromptRunner\",\"id\":\"PromptRunner-ckWMH\"}},\"style\":{\"stroke\":\"#555\"},\"className\":\"stroke-gray-900 stroke-connection\",\"animated\":false,\"id\":\"reactflow__edge-PromptRunner-ckWMH{œbaseClassesœ:[œDocumentœ],œdataTypeœ:œPromptRunnerœ,œidœ:œPromptRunner-ckWMHœ}-PromptTemplate-K7xiS{œfieldNameœ:œdasdasdœ,œidœ:œPromptTemplate-K7xiSœ,œinputTypesœ:[œDocumentœ,œBaseOutputParserœ],œtypeœ:œstrœ}\"},{\"source\":\"AirbyteJSONLoader-DXfcM\",\"sourceHandle\":\"{œbaseClassesœ:[œDocumentœ],œdataTypeœ:œAirbyteJSONLoaderœ,œidœ:œAirbyteJSONLoader-DXfcMœ}\",\"target\":\"PromptTemplate-K7xiS\",\"targetHandle\":\"{œfieldNameœ:œdasdasœ,œidœ:œPromptTemplate-K7xiSœ,œinputTypesœ:[œDocumentœ,œBaseOutputParserœ],œtypeœ:œstrœ}\",\"data\":{\"targetHandle\":{\"fieldName\":\"dasdas\",\"id\":\"PromptTemplate-K7xiS\",\"inputTypes\":[\"Document\",\"BaseOutputParser\"],\"type\":\"str\"},\"sourceHandle\":{\"baseClasses\":[\"Document\"],\"dataType\":\"AirbyteJSONLoader\",\"id\":\"AirbyteJSONLoader-DXfcM\"}},\"style\":{\"stroke\":\"#555\"},\"className\":\"stroke-gray-900 stroke-connection\",\"animated\":false,\"id\":\"reactflow__edge-AirbyteJSONLoader-DXfcM{œbaseClassesœ:[œDocumentœ],œdataTypeœ:œAirbyteJSONLoaderœ,œidœ:œAirbyteJSONLoader-DXfcMœ}-PromptTemplate-K7xiS{œfieldNameœ:œdasdasœ,œidœ:œPromptTemplate-K7xiSœ,œinputTypesœ:[œDocumentœ,œBaseOutputParserœ],œtypeœ:œstrœ}\"}],\"viewport\":{\"x\":721.09842496776,\"y\":-303.59762799439625,\"zoom\":0.6417129487814537}},\"is_component\":false,\"updated_at\":\"2023-12-08T22:52:14.560323\",\"folder\":null,\"id\":\"8533c46e-21fd-4b92-b68e-1086ea86c72d\",\"user_id\":\"d253bfba-6368-44dc-85f7-0d6da9e45968\"},{\"name\":\"Twinkly Stonebraker\",\"description\":\"Navigate the Linguistic Landscape, Discover Opportunities.\",\"data\":{\"nodes\":[],\"edges\":[],\"viewport\":{\"zoom\":1,\"x\":0,\"y\":0}},\"is_component\":false,\"updated_at\":\"2023-12-09T13:26:42.332360\",\"folder\":null,\"id\":\"92bc0875-4a73-44f2-9410-3b8342e404bf\",\"user_id\":\"d253bfba-6368-44dc-85f7-0d6da9e45968\"},{\"name\":\"Metaphor Search (1)\",\"description\":\"Search in Metaphor with a custom string.\",\"data\":{\"edges\":[],\"nodes\":[{\"data\":{\"type\":\"CustomComponent\",\"node\":{\"template\":{\"code\":{\"dynamic\":true,\"required\":true,\"placeholder\":\"\",\"show\":true,\"multiline\":true,\"value\":\"from langflow import CustomComponent\\nfrom typing import List, Union\\nfrom langchain.llms.base import BaseLLM\\nfrom langchain.chains import LLMChain\\nfrom langchain import PromptTemplate\\nfrom langchain.schema import Document\\nfrom metaphor_python import Metaphor\\nimport json\\n\\nfrom typing import List\\nfrom langflow.field_typing import Data\\n\\nclass MetaphorSearch(CustomComponent):\\n display_name: str = \\\"Metaphor Search\\\"\\n description: str = \\\"Search in Metaphor with a custom string.\\\"\\n beta = True\\n \\n def build_config(self):\\n return {\\n \\\"metaphor_client\\\": {\\\"display_name\\\": \\\"Metaphor Wrapper\\\"}, \\n \\\"search_num_results\\\": {\\\"display_name\\\": \\\"Number of Results (per domain)\\\"},\\n \\\"include_domains\\\": {\\\"display_name\\\": \\\"Include Domains\\\", \\\"is_list\\\": True},\\n \\\"start_date\\\": {\\\"display_name\\\": \\\"Start Date\\\"},\\n \\\"use_autoprompt\\\": {\\\"display_name\\\": \\\"Use Autoprompt\\\", \\\"type\\\": \\\"boolean\\\"},\\n \\\"search_type\\\": {\\\"display_name\\\": \\\"Search Type\\\", \\\"options\\\": [\\\"neural\\\", \\\"keyword\\\"]},\\n \\\"start_date\\\": {\\\"input_types\\\": [\\\"Data\\\"]}\\n }\\n\\n def build(\\n self,\\n methaphor_client: Data,\\n query: str,\\n search_type: str='keyword',\\n search_num_results: int = 5,\\n include_domains: List[str]= [\\\"youtube.com\\\"],\\n use_autoprompt: bool = False,\\n start_date: str=\\\"2023-01-01\\\",\\n \\n ) -> Data:\\n \\n results = []\\n for domain in include_domains:\\n response = methaphor_client.search(\\n query,\\n num_results=int(search_num_results),\\n include_domains=[domain],\\n use_autoprompt=use_autoprompt,\\n type=search_type,\\n # start_crawl_date=start_date,\\n start_published_date=start_date\\n )\\n results.extend(response.results)\\n \\n self.repr_value = results\\n\\n return results\\n\\n\",\"password\":false,\"name\":\"code\",\"advanced\":false,\"type\":\"code\",\"list\":false},\"_type\":\"CustomComponent\",\"include_domains\":{\"required\":true,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"value\":[\"yout\"],\"password\":false,\"name\":\"include_domains\",\"display_name\":\"Include Domains\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"str\",\"list\":true},\"methaphor_client\":{\"required\":true,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"password\":false,\"name\":\"methaphor_client\",\"display_name\":\"methaphor_client\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"Data\",\"list\":false},\"query\":{\"required\":true,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"password\":false,\"name\":\"query\",\"display_name\":\"query\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"str\",\"list\":false,\"value\":\"pasteldasdasdas\"},\"search_num_results\":{\"required\":true,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"value\":5,\"password\":false,\"name\":\"search_num_results\",\"display_name\":\"Number of Results (per domain)\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"int\",\"list\":false},\"search_type\":{\"required\":true,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"value\":\"keyword\",\"password\":false,\"options\":[\"neural\",\"keyword\"],\"name\":\"search_type\",\"display_name\":\"Search Type\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"str\",\"list\":true},\"start_date\":{\"required\":true,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"value\":\"\",\"password\":false,\"name\":\"start_date\",\"display_name\":\"start_date\",\"advanced\":false,\"input_types\":[\"Data\"],\"dynamic\":false,\"info\":\"\",\"type\":\"str\",\"list\":false},\"use_autoprompt\":{\"required\":true,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"value\":false,\"password\":false,\"name\":\"use_autoprompt\",\"display_name\":\"Use Autoprompt\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"bool\",\"list\":false}},\"description\":\"Search in Metaphor with a custom string.\",\"base_classes\":[\"Data\"],\"display_name\":\"Metaphor Search\",\"custom_fields\":{\"include_domains\":null,\"methaphor_client\":null,\"query\":null,\"search_num_results\":null,\"search_type\":null,\"start_date\":null,\"use_autoprompt\":null},\"output_types\":[\"Data\"],\"documentation\":\"\",\"beta\":true,\"error\":null,\"official\":false},\"id\":\"CustomComponent-dMB5d\"},\"id\":\"CustomComponent-dMB5d\",\"position\":{\"x\":0,\"y\":0},\"type\":\"genericNode\"}],\"viewport\":{\"x\":1,\"y\":1,\"zoom\":1}},\"is_component\":true,\"updated_at\":\"2023-12-09T13:26:43.668665\",\"folder\":null,\"id\":\"912265df-9b87-4b30-a585-1ca59b944391\",\"user_id\":\"d253bfba-6368-44dc-85f7-0d6da9e45968\"},{\"name\":\"Metaphor Search (2)\",\"description\":\"Search in Metaphor with a custom string.\",\"data\":{\"edges\":[],\"nodes\":[{\"data\":{\"type\":\"CustomComponent\",\"node\":{\"template\":{\"code\":{\"dynamic\":true,\"required\":true,\"placeholder\":\"\",\"show\":true,\"multiline\":true,\"value\":\"from langflow import CustomComponent\\nfrom typing import List, Union\\nfrom langchain.llms.base import BaseLLM\\nfrom langchain.chains import LLMChain\\nfrom langchain import PromptTemplate\\nfrom langchain.schema import Document\\nfrom metaphor_python import Metaphor\\nimport json\\n\\nfrom typing import List\\nfrom langflow.field_typing import Data\\n\\nclass MetaphorSearch(CustomComponent):\\n display_name: str = \\\"Metaphor Search\\\"\\n description: str = \\\"Search in Metaphor with a custom string.\\\"\\n beta = True\\n \\n def build_config(self):\\n return {\\n \\\"metaphor_client\\\": {\\\"display_name\\\": \\\"Metaphor Wrapper\\\"}, \\n \\\"search_num_results\\\": {\\\"display_name\\\": \\\"Number of Results (per domain)\\\"},\\n \\\"include_domains\\\": {\\\"display_name\\\": \\\"Include Domains\\\", \\\"is_list\\\": True},\\n \\\"start_date\\\": {\\\"display_name\\\": \\\"Start Date\\\"},\\n \\\"use_autoprompt\\\": {\\\"display_name\\\": \\\"Use Autoprompt\\\", \\\"type\\\": \\\"boolean\\\"},\\n \\\"search_type\\\": {\\\"display_name\\\": \\\"Search Type\\\", \\\"options\\\": [\\\"neural\\\", \\\"keyword\\\"]},\\n \\\"start_date\\\": {\\\"input_types\\\": [\\\"Data\\\"]}\\n }\\n\\n def build(\\n self,\\n methaphor_client: Data,\\n query: str,\\n search_type: str='keyword',\\n search_num_results: int = 5,\\n include_domains: List[str]= [\\\"youtube.com\\\"],\\n use_autoprompt: bool = False,\\n start_date: str=\\\"2023-01-01\\\",\\n \\n ) -> Data:\\n \\n results = []\\n for domain in include_domains:\\n response = methaphor_client.search(\\n query,\\n num_results=int(search_num_results),\\n include_domains=[domain],\\n use_autoprompt=use_autoprompt,\\n type=search_type,\\n # start_crawl_date=start_date,\\n start_published_date=start_date\\n )\\n results.extend(response.results)\\n \\n self.repr_value = results\\n\\n return results\\n\\n\",\"password\":false,\"name\":\"code\",\"advanced\":false,\"type\":\"code\",\"list\":false},\"_type\":\"CustomComponent\",\"include_domains\":{\"required\":true,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"value\":[\"yout\"],\"password\":false,\"name\":\"include_domains\",\"display_name\":\"Include Domains\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"str\",\"list\":true},\"methaphor_client\":{\"required\":true,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"password\":false,\"name\":\"methaphor_client\",\"display_name\":\"methaphor_client\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"Data\",\"list\":false},\"query\":{\"required\":true,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"password\":false,\"name\":\"query\",\"display_name\":\"query\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"str\",\"list\":false,\"value\":\"pasteldasdasdas\"},\"search_num_results\":{\"required\":true,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"value\":5,\"password\":false,\"name\":\"search_num_results\",\"display_name\":\"Number of Results (per domain)\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"int\",\"list\":false},\"search_type\":{\"required\":true,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"value\":\"keyword\",\"password\":false,\"options\":[\"neural\",\"keyword\"],\"name\":\"search_type\",\"display_name\":\"Search Type\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"str\",\"list\":true},\"start_date\":{\"required\":true,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"value\":\"\",\"password\":false,\"name\":\"start_date\",\"display_name\":\"start_date\",\"advanced\":false,\"input_types\":[\"Data\"],\"dynamic\":false,\"info\":\"\",\"type\":\"str\",\"list\":false},\"use_autoprompt\":{\"required\":true,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"value\":false,\"password\":false,\"name\":\"use_autoprompt\",\"display_name\":\"Use Autoprompt\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"bool\",\"list\":false}},\"description\":\"Search in Metaphor with a custom string.\",\"base_classes\":[\"Data\"],\"display_name\":\"Metaphor Search\",\"custom_fields\":{\"include_domains\":null,\"methaphor_client\":null,\"query\":null,\"search_num_results\":null,\"search_type\":null,\"start_date\":null,\"use_autoprompt\":null},\"output_types\":[\"Data\"],\"documentation\":\"\",\"beta\":true,\"error\":null,\"official\":false},\"id\":\"CustomComponent-ipifC\"},\"id\":\"CustomComponent-ipifC\",\"position\":{\"x\":0,\"y\":0},\"type\":\"genericNode\"}],\"viewport\":{\"x\":1,\"y\":1,\"zoom\":1}},\"is_component\":true,\"updated_at\":\"2023-12-09T13:26:49.799612\",\"folder\":null,\"id\":\"ca83ee08-2f93-427d-9897-80fef6dd5447\",\"user_id\":\"d253bfba-6368-44dc-85f7-0d6da9e45968\"},{\"name\":\"Metaphor Search\",\"description\":\"Search in Metaphor with a custom string.\",\"data\":{\"edges\":[],\"nodes\":[{\"data\":{\"type\":\"CustomComponent\",\"node\":{\"template\":{\"code\":{\"dynamic\":true,\"required\":true,\"placeholder\":\"\",\"show\":true,\"multiline\":true,\"value\":\"from langflow import CustomComponent\\nfrom typing import List, Union\\nfrom langchain.llms.base import BaseLLM\\nfrom langchain.chains import LLMChain\\nfrom langchain import PromptTemplate\\nfrom langchain.schema import Document\\nfrom metaphor_python import Metaphor\\nimport json\\n\\nfrom typing import List\\nfrom langflow.field_typing import Data\\n\\nclass MetaphorSearch(CustomComponent):\\n display_name: str = \\\"Metaphor Search\\\"\\n description: str = \\\"Search in Metaphor with a custom string.\\\"\\n beta = True\\n \\n def build_config(self):\\n return {\\n \\\"metaphor_client\\\": {\\\"display_name\\\": \\\"Metaphor Wrapper\\\"}, \\n \\\"search_num_results\\\": {\\\"display_name\\\": \\\"Number of Results (per domain)\\\"},\\n \\\"include_domains\\\": {\\\"display_name\\\": \\\"Include Domains\\\", \\\"is_list\\\": True},\\n \\\"start_date\\\": {\\\"display_name\\\": \\\"Start Date\\\"},\\n \\\"use_autoprompt\\\": {\\\"display_name\\\": \\\"Use Autoprompt\\\", \\\"type\\\": \\\"boolean\\\"},\\n \\\"search_type\\\": {\\\"display_name\\\": \\\"Search Type\\\", \\\"options\\\": [\\\"neural\\\", \\\"keyword\\\"]},\\n \\\"start_date\\\": {\\\"input_types\\\": [\\\"Data\\\"]}\\n }\\n\\n def build(\\n self,\\n methaphor_client: Data,\\n query: str,\\n search_type: str='keyword',\\n search_num_results: int = 5,\\n include_domains: List[str]= [\\\"youtube.com\\\"],\\n use_autoprompt: bool = False,\\n start_date: str=\\\"2023-01-01\\\",\\n \\n ) -> Data:\\n \\n results = []\\n for domain in include_domains:\\n response = methaphor_client.search(\\n query,\\n num_results=int(search_num_results),\\n include_domains=[domain],\\n use_autoprompt=use_autoprompt,\\n type=search_type,\\n # start_crawl_date=start_date,\\n start_published_date=start_date\\n )\\n results.extend(response.results)\\n \\n self.repr_value = results\\n\\n return results\\n\\n\",\"password\":false,\"name\":\"code\",\"advanced\":false,\"type\":\"code\",\"list\":false},\"_type\":\"CustomComponent\",\"include_domains\":{\"required\":true,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"value\":[\"yout\"],\"password\":false,\"name\":\"include_domains\",\"display_name\":\"Include Domains\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"str\",\"list\":true},\"methaphor_client\":{\"required\":true,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"password\":false,\"name\":\"methaphor_client\",\"display_name\":\"methaphor_client\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"Data\",\"list\":false},\"query\":{\"required\":true,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"password\":false,\"name\":\"query\",\"display_name\":\"query\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"str\",\"list\":false,\"value\":\"pasteldasdasdas\"},\"search_num_results\":{\"required\":true,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"value\":5,\"password\":false,\"name\":\"search_num_results\",\"display_name\":\"Number of Results (per domain)\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"int\",\"list\":false},\"search_type\":{\"required\":true,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"value\":\"keyword\",\"password\":false,\"options\":[\"neural\",\"keyword\"],\"name\":\"search_type\",\"display_name\":\"Search Type\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"str\",\"list\":true},\"start_date\":{\"required\":true,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"value\":\"\",\"password\":false,\"name\":\"start_date\",\"display_name\":\"start_date\",\"advanced\":false,\"input_types\":[\"Data\"],\"dynamic\":false,\"info\":\"\",\"type\":\"str\",\"list\":false},\"use_autoprompt\":{\"required\":true,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"value\":false,\"password\":false,\"name\":\"use_autoprompt\",\"display_name\":\"Use Autoprompt\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"bool\",\"list\":false}},\"description\":\"Search in Metaphor with a custom string.\",\"base_classes\":[\"Data\"],\"display_name\":\"Metaphor Search\",\"custom_fields\":{\"include_domains\":null,\"methaphor_client\":null,\"query\":null,\"search_num_results\":null,\"search_type\":null,\"start_date\":null,\"use_autoprompt\":null},\"output_types\":[\"Data\"],\"documentation\":\"\",\"beta\":true,\"error\":null,\"official\":false},\"id\":\"CustomComponent-Y4qL7\"},\"id\":\"CustomComponent-Y4qL7\",\"position\":{\"x\":0,\"y\":0},\"type\":\"genericNode\"}],\"viewport\":{\"x\":1,\"y\":1,\"zoom\":1}},\"is_component\":true,\"updated_at\":\"2023-12-09T13:26:53.719960\",\"folder\":null,\"id\":\"5847602b-769a-4a82-82e8-a70f54a59929\",\"user_id\":\"d253bfba-6368-44dc-85f7-0d6da9e45968\"},{\"name\":\"Lively Williams\",\"description\":\"Conversational Cartography Unlocked.\",\"data\":{\"nodes\":[],\"edges\":[],\"viewport\":{\"zoom\":1,\"x\":0,\"y\":0}},\"is_component\":false,\"updated_at\":\"2023-12-09T13:27:45.691254\",\"folder\":null,\"id\":\"0e3bdba9-127a-4399-81a4-2865b70a4a47\",\"user_id\":\"d253bfba-6368-44dc-85f7-0d6da9e45968\"},{\"name\":\"Shared Component\",\"description\":\"Conversational Cartography Unlocked.\",\"data\":{\"nodes\":[{\"width\":384,\"height\":328,\"id\":\"CSVAgent-TK9Ea\",\"type\":\"genericNode\",\"position\":{\"x\":251.25514772667083,\"y\":160.7424529887874},\"data\":{\"type\":\"CSVAgent\",\"node\":{\"template\":{\"llm\":{\"required\":true,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"password\":false,\"name\":\"llm\",\"display_name\":\"LLM\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"BaseLanguageModel\",\"list\":false},\"path\":{\"required\":true,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"value\":\"\",\"password\":false,\"name\":\"path\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"file\",\"list\":false,\"fileTypes\":[\".csv\"],\"file_path\":null},\"_type\":\"csv_agent\"},\"description\":\"Construct a CSV agent from a CSV and tools.\",\"base_classes\":[\"AgentExecutor\"],\"display_name\":\"CSVAgent\",\"custom_fields\":{},\"output_types\":[],\"documentation\":\"https://python.langchain.com/docs/modules/agents/toolkits/csv\",\"beta\":false,\"error\":null},\"id\":\"CSVAgent-TK9Ea\"},\"positionAbsolute\":{\"x\":251.25514772667083,\"y\":160.7424529887874}}],\"edges\":[],\"viewport\":{\"x\":104.85568116317398,\"y\":88.26375874183478,\"zoom\":0.7169776240079145}},\"is_component\":false,\"updated_at\":\"2023-12-09T13:28:34.119070\",\"folder\":null,\"id\":\"29c1a247-47b0-457b-8666-7c0a67dc72b0\",\"user_id\":\"d253bfba-6368-44dc-85f7-0d6da9e45968\"},{\"name\":\"teste cristhian\",\"description\":\"11111\",\"data\":{\"nodes\":[{\"width\":384,\"height\":328,\"id\":\"CSVAgent-P5wrB\",\"type\":\"genericNode\",\"position\":{\"x\":251.25514772667083,\"y\":160.7424529887874},\"data\":{\"type\":\"CSVAgent\",\"node\":{\"template\":{\"llm\":{\"required\":true,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"password\":false,\"name\":\"llm\",\"display_name\":\"LLM\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"BaseLanguageModel\",\"list\":false},\"path\":{\"required\":true,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"value\":\"\",\"password\":false,\"name\":\"path\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"file\",\"list\":false,\"fileTypes\":[\".csv\"],\"file_path\":null},\"_type\":\"csv_agent\"},\"description\":\"Construct a CSV agent from a CSV and tools.\",\"base_classes\":[\"AgentExecutor\"],\"display_name\":\"CSVAgent\",\"custom_fields\":{},\"output_types\":[],\"documentation\":\"https://python.langchain.com/docs/modules/agents/toolkits/csv\",\"beta\":false,\"error\":null},\"id\":\"CSVAgent-P5wrB\"},\"positionAbsolute\":{\"x\":251.25514772667083,\"y\":160.7424529887874}},{\"width\":384,\"height\":626,\"id\":\"OpenAI-zpihD\",\"type\":\"genericNode\",\"position\":{\"x\":-56.983202536768374,\"y\":61.715652677908665},\"data\":{\"type\":\"OpenAI\",\"node\":{\"template\":{\"callbacks\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"password\":false,\"name\":\"callbacks\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"langchain_core.callbacks.base.BaseCallbackHandler\",\"list\":true},\"allowed_special\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"value\":[],\"password\":false,\"name\":\"allowed_special\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"str\",\"list\":true},\"async_client\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"password\":false,\"name\":\"async_client\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"Any\",\"list\":false},\"batch_size\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"value\":20,\"password\":false,\"name\":\"batch_size\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"int\",\"list\":false},\"best_of\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"value\":1,\"password\":false,\"name\":\"best_of\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"int\",\"list\":false},\"cache\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"password\":false,\"name\":\"cache\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"bool\",\"list\":false},\"client\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"password\":false,\"name\":\"client\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"Any\",\"list\":false},\"default_headers\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"password\":false,\"name\":\"default_headers\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"dict\",\"list\":false},\"default_query\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"password\":false,\"name\":\"default_query\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"dict\",\"list\":false},\"disallowed_special\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"value\":\"all\",\"password\":false,\"name\":\"disallowed_special\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"str\",\"list\":false},\"frequency_penalty\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"value\":0,\"password\":false,\"name\":\"frequency_penalty\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"float\",\"list\":false},\"http_client\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"password\":false,\"name\":\"http_client\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"Any\",\"list\":false},\"logit_bias\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"password\":false,\"name\":\"logit_bias\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"dict\",\"list\":false},\"max_retries\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"value\":2,\"password\":false,\"name\":\"max_retries\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"int\",\"list\":false},\"max_tokens\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"value\":\"\",\"password\":true,\"name\":\"max_tokens\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"int\",\"list\":false},\"metadata\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"password\":false,\"name\":\"metadata\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"dict\",\"list\":false},\"model_kwargs\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"password\":false,\"name\":\"model_kwargs\",\"advanced\":true,\"dynamic\":false,\"info\":\"\",\"type\":\"dict\",\"list\":false},\"model_name\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"value\":\"text-babbage-001\",\"password\":false,\"options\":[\"text-davinci-003\",\"text-davinci-002\",\"text-curie-001\",\"text-babbage-001\",\"text-ada-001\"],\"name\":\"model_name\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"str\",\"list\":true},\"n\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"value\":1,\"password\":false,\"name\":\"n\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"int\",\"list\":false},\"openai_api_base\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"password\":false,\"name\":\"openai_api_base\",\"display_name\":\"OpenAI API Base\",\"advanced\":false,\"dynamic\":false,\"info\":\"\\nThe base URL of the OpenAI API. Defaults to https://api.openai.com/v1.\\n\\nYou can change this to use other APIs like JinaChat, LocalAI and Prem.\\n\",\"type\":\"str\",\"list\":false,\"value\":\"dasdasdasdsadasdas\"},\"openai_api_key\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"value\":\"\",\"password\":true,\"name\":\"openai_api_key\",\"display_name\":\"OpenAI API Key\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"str\",\"list\":false},\"openai_organization\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"password\":false,\"name\":\"openai_organization\",\"display_name\":\"OpenAI Organization\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"str\",\"list\":false},\"openai_proxy\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"password\":false,\"name\":\"openai_proxy\",\"display_name\":\"OpenAI Proxy\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"str\",\"list\":false},\"presence_penalty\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"value\":0,\"password\":false,\"name\":\"presence_penalty\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"float\",\"list\":false},\"request_timeout\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"password\":false,\"name\":\"request_timeout\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"float\",\"list\":false},\"streaming\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"value\":false,\"password\":false,\"name\":\"streaming\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"bool\",\"list\":false},\"tags\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"password\":false,\"name\":\"tags\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"str\",\"list\":true},\"temperature\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"value\":\"1.4\",\"password\":false,\"name\":\"temperature\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"float\",\"list\":false},\"tiktoken_model_name\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"password\":false,\"name\":\"tiktoken_model_name\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"str\",\"list\":false},\"top_p\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"value\":1,\"password\":false,\"name\":\"top_p\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"float\",\"list\":false},\"verbose\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"password\":false,\"name\":\"verbose\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"bool\",\"list\":false},\"_type\":\"OpenAI\"},\"description\":\"OpenAI large language models.\",\"base_classes\":[\"OpenAI\",\"BaseLanguageModel\",\"BaseLLM\",\"BaseOpenAI\"],\"display_name\":\"OpenAI\",\"custom_fields\":{},\"output_types\":[],\"documentation\":\"https://python.langchain.com/docs/modules/model_io/models/llms/integrations/openai\",\"beta\":false,\"error\":null},\"id\":\"OpenAI-zpihD\"},\"selected\":true,\"dragging\":false,\"positionAbsolute\":{\"x\":-56.983202536768374,\"y\":61.715652677908665}}],\"edges\":[],\"viewport\":{\"x\":104.85568116317398,\"y\":88.26375874183478,\"zoom\":0.7169776240079145}},\"is_component\":false,\"updated_at\":\"2023-12-09T13:40:48.453096\",\"folder\":null,\"id\":\"2e59d013-2acb-49a6-915b-9231a7e6eb58\",\"user_id\":\"d253bfba-6368-44dc-85f7-0d6da9e45968\"},{\"name\":\"CSVAgent (1)\",\"description\":\"Construct a CSV agent from a CSV and tools.\",\"data\":{\"edges\":[],\"nodes\":[{\"data\":{\"type\":\"CSVAgent\",\"node\":{\"template\":{\"llm\":{\"required\":true,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"password\":false,\"name\":\"llm\",\"display_name\":\"LLM\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"BaseLanguageModel\",\"list\":false},\"path\":{\"required\":true,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"value\":\"\",\"password\":false,\"name\":\"path\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"file\",\"list\":false,\"fileTypes\":[\".csv\"],\"file_path\":null},\"_type\":\"csv_agent\"},\"description\":\"Construct a CSV agent from a CSV and tools.\",\"base_classes\":[\"AgentExecutor\"],\"display_name\":\"CSVAgent\",\"custom_fields\":{},\"output_types\":[],\"documentation\":\"https://python.langchain.com/docs/modules/agents/toolkits/csv\",\"beta\":false,\"error\":null,\"official\":false},\"id\":\"CSVAgent-jsHqy\"},\"id\":\"CSVAgent-jsHqy\",\"position\":{\"x\":0,\"y\":0},\"type\":\"genericNode\"}],\"viewport\":{\"x\":1,\"y\":1,\"zoom\":1}},\"is_component\":true,\"updated_at\":\"2023-12-09T13:31:17.317322\",\"folder\":null,\"id\":\"ab1034a9-9b5b-4c65-bf6e-9f098a403942\",\"user_id\":\"d253bfba-6368-44dc-85f7-0d6da9e45968\"},{\"name\":\"Suspicious Wilsonfasdfsd\",\"description\":\"Building Linguistic Labyrinths.fasdfads\",\"data\":{\"nodes\":[],\"edges\":[],\"viewport\":{\"zoom\":1,\"x\":0,\"y\":0}},\"is_component\":false,\"updated_at\":\"2023-12-09T14:43:45.298121\",\"folder\":null,\"id\":\"7d91c0c5-fba6-4c60-b4d1-11d430ef357a\",\"user_id\":\"d253bfba-6368-44dc-85f7-0d6da9e45968\"},{\"name\":\"AirbyteJSONLoader (1)\",\"description\":\"Load local `Airbyte` json files.\",\"data\":{\"edges\":[],\"nodes\":[{\"data\":{\"type\":\"AirbyteJSONLoader\",\"node\":{\"template\":{\"file_path\":{\"required\":true,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"value\":\"\",\"password\":false,\"name\":\"file_path\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"file\",\"list\":false,\"fileTypes\":[\".json\"],\"file_path\":null},\"metadata\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"value\":[{\"\":\"\"}],\"password\":false,\"name\":\"metadata\",\"display_name\":\"Metadata\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"dict\",\"list\":false},\"_type\":\"AirbyteJSONLoader\"},\"description\":\"Load local `Airbyte` json files.\",\"base_classes\":[\"Document\"],\"display_name\":\"AirbyteJSONLoader\",\"custom_fields\":{},\"output_types\":[\"Document\"],\"documentation\":\"https://python.langchain.com/docs/modules/data_connection/document_loaders/integrations/airbyte_json\",\"beta\":false,\"error\":null,\"official\":false},\"id\":\"AirbyteJSONLoader-pAHh6\"},\"id\":\"AirbyteJSONLoader-pAHh6\",\"position\":{\"x\":0,\"y\":0},\"type\":\"genericNode\"}],\"viewport\":{\"x\":1,\"y\":1,\"zoom\":1}},\"is_component\":true,\"updated_at\":\"2023-12-09T13:47:58.573137\",\"folder\":null,\"id\":\"f0cc4292-97cc-4748-803d-949e30dcf661\",\"user_id\":\"d253bfba-6368-44dc-85f7-0d6da9e45968\"},{\"name\":\"AirbyteJSONLoader\",\"description\":\"Load local `Airbyte` json files.\",\"data\":{\"edges\":[],\"nodes\":[{\"data\":{\"type\":\"AirbyteJSONLoader\",\"node\":{\"template\":{\"file_path\":{\"required\":true,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"value\":\"\",\"password\":false,\"name\":\"file_path\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"file\",\"list\":false,\"fileTypes\":[\".json\"],\"file_path\":null},\"metadata\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"value\":[{\"ff2\":\"d3bbd\"},{\"w\":\"bvd\"}],\"password\":false,\"name\":\"metadata\",\"display_name\":\"Metadata\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"dict\",\"list\":false},\"_type\":\"AirbyteJSONLoader\"},\"description\":\"Load local `Airbyte` json files.\",\"base_classes\":[\"Document\"],\"display_name\":\"AirbyteJSONLoader\",\"custom_fields\":{},\"output_types\":[\"Document\"],\"documentation\":\"https://python.langchain.com/docs/modules/data_connection/document_loaders/integrations/airbyte_json\",\"beta\":false,\"error\":null,\"official\":false},\"id\":\"AirbyteJSONLoader-0zU2Q\"},\"id\":\"AirbyteJSONLoader-0zU2Q\",\"position\":{\"x\":0,\"y\":0},\"type\":\"genericNode\"}],\"viewport\":{\"x\":1,\"y\":1,\"zoom\":1}},\"is_component\":true,\"updated_at\":\"2023-12-09T13:50:09.035318\",\"folder\":null,\"id\":\"5e3c0d55-1a00-4e15-9821-0c625c6415ff\",\"user_id\":\"d253bfba-6368-44dc-85f7-0d6da9e45968\"},{\"name\":\"CSVAgent\",\"description\":\"Construct a CSV agent from a CSV and tools.\",\"data\":{\"edges\":[],\"nodes\":[{\"data\":{\"type\":\"CSVAgent\",\"node\":{\"template\":{\"llm\":{\"required\":true,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"password\":false,\"name\":\"llm\",\"display_name\":\"LLM\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"BaseLanguageModel\",\"list\":false},\"path\":{\"required\":true,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"value\":\"\",\"password\":false,\"name\":\"path\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"file\",\"list\":false,\"fileTypes\":[\".csv\"],\"file_path\":null},\"_type\":\"csv_agent\"},\"description\":\"Construct a CSV agent from a CSV and tools.\",\"base_classes\":[\"AgentExecutor\"],\"display_name\":\"CSVAgent\",\"custom_fields\":{},\"output_types\":[],\"documentation\":\"https://python.langchain.com/docs/modules/agents/toolkits/csv\",\"beta\":false,\"error\":null,\"official\":false},\"id\":\"CSVAgent-Ub1Xe\"},\"id\":\"CSVAgent-Ub1Xe\",\"position\":{\"x\":0,\"y\":0},\"type\":\"genericNode\"}],\"viewport\":{\"x\":1,\"y\":1,\"zoom\":1}},\"is_component\":true,\"updated_at\":\"2023-12-09T13:50:16.985419\",\"folder\":null,\"id\":\"baee8061-4788-4ce6-928f-c6ce1ecb443c\",\"user_id\":\"d253bfba-6368-44dc-85f7-0d6da9e45968\"},{\"name\":\"Lively Heisenberg\",\"description\":\"Maximize Impact with Intelligent Conversations.\",\"data\":{\"nodes\":[{\"width\":384,\"height\":366,\"id\":\"CSVLoader-RMUx9\",\"type\":\"genericNode\",\"position\":{\"x\":111,\"y\":345.51250076293945},\"data\":{\"type\":\"CSVLoader\",\"node\":{\"template\":{\"file_path\":{\"required\":true,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"value\":\"\",\"password\":false,\"name\":\"file_path\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"file\",\"list\":false,\"fileTypes\":[\".csv\"],\"file_path\":null},\"metadata\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"value\":[{\"z2b\":\"z9\"}],\"password\":false,\"name\":\"metadata\",\"display_name\":\"Metadata\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"dict\",\"list\":false},\"_type\":\"CSVLoader\"},\"description\":\"Load a `CSV` file into a list of Documents.\",\"base_classes\":[\"Document\"],\"display_name\":\"CSVLoader\",\"custom_fields\":{},\"output_types\":[\"Document\"],\"documentation\":\"https://python.langchain.com/docs/modules/data_connection/document_loaders/integrations/csv\",\"beta\":false,\"error\":null},\"id\":\"CSVLoader-RMUx9\"},\"positionAbsolute\":{\"x\":111,\"y\":345.51250076293945}}],\"edges\":[],\"viewport\":{\"x\":0,\"y\":0,\"zoom\":1}},\"is_component\":false,\"updated_at\":\"2023-12-09T14:38:40.291137\",\"folder\":null,\"id\":\"109e9629-d569-4555-9d40-42203a5ed035\",\"user_id\":\"d253bfba-6368-44dc-85f7-0d6da9e45968\"},{\"name\":\"CohereEmbeddings\",\"description\":\"Cohere embedding models.\",\"data\":{\"edges\":[],\"nodes\":[{\"data\":{\"type\":\"CohereEmbeddings\",\"node\":{\"template\":{\"async_client\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"password\":false,\"name\":\"async_client\",\"advanced\":true,\"dynamic\":false,\"info\":\"\",\"type\":\"Any\",\"list\":false},\"client\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"password\":false,\"name\":\"client\",\"advanced\":true,\"dynamic\":false,\"info\":\"\",\"type\":\"Any\",\"list\":false},\"cohere_api_key\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"password\":true,\"name\":\"cohere_api_key\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"str\",\"list\":false,\"value\":\"\"},\"max_retries\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"password\":false,\"name\":\"max_retries\",\"advanced\":true,\"dynamic\":false,\"info\":\"\",\"type\":\"int\",\"list\":false},\"model\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"value\":\"embed-english-v2.0\",\"password\":false,\"name\":\"model\",\"advanced\":true,\"dynamic\":false,\"info\":\"\",\"type\":\"str\",\"list\":false},\"request_timeout\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"password\":false,\"name\":\"request_timeout\",\"advanced\":true,\"dynamic\":false,\"info\":\"\",\"type\":\"float\",\"list\":false},\"truncate\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"password\":false,\"name\":\"truncate\",\"advanced\":true,\"dynamic\":false,\"info\":\"\",\"type\":\"str\",\"list\":false},\"user_agent\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"value\":\"langchain\",\"password\":false,\"name\":\"user_agent\",\"advanced\":true,\"dynamic\":false,\"info\":\"\",\"type\":\"str\",\"list\":false},\"_type\":\"CohereEmbeddings\"},\"description\":\"Cohere embedding models.\",\"base_classes\":[\"CohereEmbeddings\",\"Embeddings\"],\"display_name\":\"CohereEmbeddings\",\"custom_fields\":{},\"output_types\":[],\"documentation\":\"https://python.langchain.com/docs/modules/data_connection/text_embedding/integrations/cohere\",\"beta\":false,\"error\":null,\"official\":false},\"id\":\"CohereEmbeddings-HFUAf\"},\"id\":\"CohereEmbeddings-HFUAf\",\"position\":{\"x\":0,\"y\":0},\"type\":\"genericNode\"}],\"viewport\":{\"x\":1,\"y\":1,\"zoom\":1}},\"is_component\":true,\"updated_at\":\"2023-12-09T13:50:46.172344\",\"folder\":null,\"id\":\"662d8040-d47c-40db-bda1-66489a1c9d24\",\"user_id\":\"d253bfba-6368-44dc-85f7-0d6da9e45968\"},{\"name\":\"CSVLoader (1)\",\"description\":\"Load a `CSV` file into a list of Documents.\",\"data\":{\"edges\":[],\"nodes\":[{\"data\":{\"type\":\"CSVLoader\",\"node\":{\"template\":{\"file_path\":{\"required\":true,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"value\":\"\",\"password\":false,\"name\":\"file_path\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"file\",\"list\":false,\"fileTypes\":[\".csv\"],\"file_path\":null},\"metadata\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"value\":[{\"cddscz23\":\"aaqd\"}],\"password\":false,\"name\":\"metadata\",\"display_name\":\"Metadata\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"dict\",\"list\":false},\"_type\":\"CSVLoader\"},\"description\":\"Load a `CSV` file into a list of Documents.\",\"base_classes\":[\"Document\"],\"display_name\":\"CSVLoader\",\"custom_fields\":{},\"output_types\":[\"Document\"],\"documentation\":\"https://python.langchain.com/docs/modules/data_connection/document_loaders/integrations/csv\",\"beta\":false,\"error\":null,\"official\":false},\"id\":\"CSVLoader-3wrib\"},\"id\":\"CSVLoader-3wrib\",\"position\":{\"x\":0,\"y\":0},\"type\":\"genericNode\"}],\"viewport\":{\"x\":1,\"y\":1,\"zoom\":1}},\"is_component\":true,\"updated_at\":\"2023-12-09T13:56:11.662526\",\"folder\":null,\"id\":\"4fae6aec-ddbd-498d-a4d1-ca0290f6a5ad\",\"user_id\":\"d253bfba-6368-44dc-85f7-0d6da9e45968\"},{\"name\":\"CSVLoader (2)\",\"description\":\"Load a `CSV` file into a list of Documents.\",\"data\":{\"edges\":[],\"nodes\":[{\"data\":{\"type\":\"CSVLoader\",\"node\":{\"template\":{\"file_path\":{\"required\":true,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"value\":\"\",\"password\":false,\"name\":\"file_path\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"file\",\"list\":false,\"fileTypes\":[\".csv\"],\"file_path\":null},\"metadata\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"value\":[{\"cddscz23\":\"aaqd\"}],\"password\":false,\"name\":\"metadata\",\"display_name\":\"Metadata\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"dict\",\"list\":false},\"_type\":\"CSVLoader\"},\"description\":\"Load a `CSV` file into a list of Documents.\",\"base_classes\":[\"Document\"],\"display_name\":\"CSVLoader\",\"custom_fields\":{},\"output_types\":[\"Document\"],\"documentation\":\"https://python.langchain.com/docs/modules/data_connection/document_loaders/integrations/csv\",\"beta\":false,\"error\":null,\"official\":false},\"id\":\"CSVLoader-VEjyx\"},\"id\":\"CSVLoader-VEjyx\",\"position\":{\"x\":0,\"y\":0},\"type\":\"genericNode\"}],\"viewport\":{\"x\":1,\"y\":1,\"zoom\":1}},\"is_component\":true,\"updated_at\":\"2023-12-09T13:57:37.560784\",\"folder\":null,\"id\":\"d80635ee-966c-41f2-981c-afa2c388ac6e\",\"user_id\":\"d253bfba-6368-44dc-85f7-0d6da9e45968\"},{\"name\":\"CSVLoader (3)\",\"description\":\"Load a `CSV` file into a list of Documents.\",\"data\":{\"edges\":[],\"nodes\":[{\"data\":{\"type\":\"CSVLoader\",\"node\":{\"template\":{\"file_path\":{\"required\":true,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"value\":\"\",\"password\":false,\"name\":\"file_path\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"file\",\"list\":false,\"fileTypes\":[\".csv\"],\"file_path\":null},\"metadata\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"value\":[{\"cddscz23\":\"aaqd\"}],\"password\":false,\"name\":\"metadata\",\"display_name\":\"Metadata\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"dict\",\"list\":false},\"_type\":\"CSVLoader\"},\"description\":\"Load a `CSV` file into a list of Documents.\",\"base_classes\":[\"Document\"],\"display_name\":\"CSVLoader\",\"custom_fields\":{},\"output_types\":[\"Document\"],\"documentation\":\"https://python.langchain.com/docs/modules/data_connection/document_loaders/integrations/csv\",\"beta\":false,\"error\":null,\"official\":false},\"id\":\"CSVLoader-PIhOc\"},\"id\":\"CSVLoader-PIhOc\",\"position\":{\"x\":0,\"y\":0},\"type\":\"genericNode\"}],\"viewport\":{\"x\":1,\"y\":1,\"zoom\":1}},\"is_component\":true,\"updated_at\":\"2023-12-09T14:00:27.991966\",\"folder\":null,\"id\":\"c5cc4c32-77c8-4889-a9f8-2632466b7366\",\"user_id\":\"d253bfba-6368-44dc-85f7-0d6da9e45968\"},{\"name\":\"CSVLoader (4)\",\"description\":\"Load a `CSV` file into a list of Documents.\",\"data\":{\"edges\":[],\"nodes\":[{\"data\":{\"type\":\"CSVLoader\",\"node\":{\"template\":{\"file_path\":{\"required\":true,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"value\":\"\",\"password\":false,\"name\":\"file_path\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"file\",\"list\":false,\"fileTypes\":[\".csv\"],\"file_path\":null},\"metadata\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"value\":[{\"cddscz23\":\"aaqd\"}],\"password\":false,\"name\":\"metadata\",\"display_name\":\"Metadata\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"dict\",\"list\":false},\"_type\":\"CSVLoader\"},\"description\":\"Load a `CSV` file into a list of Documents.\",\"base_classes\":[\"Document\"],\"display_name\":\"CSVLoader\",\"custom_fields\":{},\"output_types\":[\"Document\"],\"documentation\":\"https://python.langchain.com/docs/modules/data_connection/document_loaders/integrations/csv\",\"beta\":false,\"error\":null,\"official\":false},\"id\":\"CSVLoader-deB43\"},\"id\":\"CSVLoader-deB43\",\"position\":{\"x\":0,\"y\":0},\"type\":\"genericNode\"}],\"viewport\":{\"x\":1,\"y\":1,\"zoom\":1}},\"is_component\":true,\"updated_at\":\"2023-12-09T14:00:42.509243\",\"folder\":null,\"id\":\"0ab59938-ccf4-4bb9-b285-1f5da38648f0\",\"user_id\":\"d253bfba-6368-44dc-85f7-0d6da9e45968\"},{\"name\":\"CSVLoader\",\"description\":\"Load a `CSV` file into a list of Documents.\",\"data\":{\"edges\":[],\"nodes\":[{\"data\":{\"type\":\"CSVLoader\",\"node\":{\"template\":{\"file_path\":{\"required\":true,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"value\":\"\",\"password\":false,\"name\":\"file_path\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"file\",\"list\":false,\"fileTypes\":[\".csv\"],\"file_path\":null},\"metadata\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"value\":[{\"\":\"aaqd\"}],\"password\":false,\"name\":\"metadata\",\"display_name\":\"Metadata\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"dict\",\"list\":false},\"_type\":\"CSVLoader\"},\"description\":\"Load a `CSV` file into a list of Documents.\",\"base_classes\":[\"Document\"],\"display_name\":\"CSVLoader\",\"custom_fields\":{},\"output_types\":[\"Document\"],\"documentation\":\"https://python.langchain.com/docs/modules/data_connection/document_loaders/integrations/csv\",\"beta\":false,\"error\":null,\"official\":false},\"id\":\"CSVLoader-mdkLm\"},\"id\":\"CSVLoader-mdkLm\",\"position\":{\"x\":0,\"y\":0},\"type\":\"genericNode\"}],\"viewport\":{\"x\":1,\"y\":1,\"zoom\":1}},\"is_component\":true,\"updated_at\":\"2023-12-09T14:02:17.458354\",\"folder\":null,\"id\":\"f127b7e7-4149-492e-8998-6b1b35ec4153\",\"user_id\":\"d253bfba-6368-44dc-85f7-0d6da9e45968\"},{\"name\":\"CSVLoader (5)\",\"description\":\"Load a `CSV` file into a list of Documents.\",\"data\":{\"edges\":[],\"nodes\":[{\"data\":{\"type\":\"CSVLoader\",\"node\":{\"template\":{\"file_path\":{\"required\":true,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"value\":\"\",\"password\":false,\"name\":\"file_path\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"file\",\"list\":false,\"fileTypes\":[\".csv\"],\"file_path\":null},\"metadata\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"value\":[{\"cddscz23\":\"aaqd\"}],\"password\":false,\"name\":\"metadata\",\"display_name\":\"Metadata\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"dict\",\"list\":false},\"_type\":\"CSVLoader\"},\"description\":\"Load a `CSV` file into a list of Documents.\",\"base_classes\":[\"Document\"],\"display_name\":\"CSVLoader\",\"custom_fields\":{},\"output_types\":[\"Document\"],\"documentation\":\"https://python.langchain.com/docs/modules/data_connection/document_loaders/integrations/csv\",\"beta\":false,\"error\":null,\"official\":false},\"id\":\"CSVLoader-FRc6Y\"},\"id\":\"CSVLoader-FRc6Y\",\"position\":{\"x\":0,\"y\":0},\"type\":\"genericNode\"}],\"viewport\":{\"x\":1,\"y\":1,\"zoom\":1}},\"is_component\":true,\"updated_at\":\"2023-12-09T14:02:26.958867\",\"folder\":null,\"id\":\"a870a096-725c-4914-add0-8d57d710b7e5\",\"user_id\":\"d253bfba-6368-44dc-85f7-0d6da9e45968\"},{\"name\":\"AirbyteJSONLoader (2)\",\"description\":\"Load local `Airbyte` json files.\",\"data\":{\"edges\":[],\"nodes\":[{\"data\":{\"type\":\"AirbyteJSONLoader\",\"node\":{\"template\":{\"file_path\":{\"required\":true,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"value\":\"\",\"password\":false,\"name\":\"file_path\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"file\",\"list\":false,\"fileTypes\":[\".json\"],\"file_path\":null},\"metadata\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"value\":[{\"\":\"\"}],\"password\":false,\"name\":\"metadata\",\"display_name\":\"Metadata\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"dict\",\"list\":false},\"_type\":\"AirbyteJSONLoader\"},\"description\":\"Load local `Airbyte` json files.\",\"base_classes\":[\"Document\"],\"display_name\":\"AirbyteJSONLoader\",\"custom_fields\":{},\"output_types\":[\"Document\"],\"documentation\":\"https://python.langchain.com/docs/modules/data_connection/document_loaders/integrations/airbyte_json\",\"beta\":false,\"error\":null,\"official\":false},\"id\":\"AirbyteJSONLoader-Z0uol\"},\"id\":\"AirbyteJSONLoader-Z0uol\",\"position\":{\"x\":0,\"y\":0},\"type\":\"genericNode\"}],\"viewport\":{\"x\":1,\"y\":1,\"zoom\":1}},\"is_component\":true,\"updated_at\":\"2023-12-09T14:03:33.764117\",\"folder\":null,\"id\":\"2a37c76c-65c8-4c01-a72d-eb46f3d41a56\",\"user_id\":\"d253bfba-6368-44dc-85f7-0d6da9e45968\"},{\"name\":\"Amazon Bedrock Embeddings\",\"description\":\"Embeddings model from Amazon Bedrock.\",\"data\":{\"edges\":[],\"nodes\":[{\"data\":{\"type\":\"AmazonBedrockEmbeddings\",\"node\":{\"template\":{\"code\":{\"dynamic\":true,\"required\":true,\"placeholder\":\"\",\"show\":false,\"multiline\":true,\"value\":\"from typing import Optional\\n\\nfrom langchain.embeddings import BedrockEmbeddings\\nfrom langchain.embeddings.base import Embeddings\\nfrom langflow import CustomComponent\\n\\n\\nclass AmazonBedrockEmeddingsComponent(CustomComponent):\\n \\\"\\\"\\\"\\n A custom component for implementing an Embeddings Model using Amazon Bedrock.\\n \\\"\\\"\\\"\\n\\n display_name: str = \\\"Amazon Bedrock Embeddings\\\"\\n description: str = \\\"Embeddings model from Amazon Bedrock.\\\"\\n documentation = \\\"https://python.langchain.com/docs/modules/data_connection/text_embedding/integrations/bedrock\\\"\\n beta = True\\n\\n def build_config(self):\\n return {\\n \\\"model_id\\\": {\\n \\\"display_name\\\": \\\"Model Id\\\",\\n \\\"options\\\": [\\\"amazon.titan-embed-text-v1\\\"],\\n },\\n \\\"credentials_profile_name\\\": {\\\"display_name\\\": \\\"Credentials Profile Name\\\"},\\n \\\"endpoint_url\\\": {\\\"display_name\\\": \\\"Bedrock Endpoint URL\\\"},\\n \\\"region_name\\\": {\\\"display_name\\\": \\\"AWS Region\\\"},\\n \\\"code\\\": {\\\"show\\\": False},\\n }\\n\\n def build(\\n self,\\n model_id: str = \\\"amazon.titan-embed-text-v1\\\",\\n credentials_profile_name: Optional[str] = None,\\n endpoint_url: Optional[str] = None,\\n region_name: Optional[str] = None,\\n ) -> Embeddings:\\n try:\\n output = BedrockEmbeddings(\\n credentials_profile_name=credentials_profile_name,\\n model_id=model_id,\\n endpoint_url=endpoint_url,\\n region_name=region_name,\\n ) # type: ignore\\n except Exception as e:\\n raise ValueError(\\\"Could not connect to AmazonBedrock API.\\\") from e\\n return output\\n\",\"password\":false,\"name\":\"code\",\"advanced\":false,\"type\":\"code\",\"list\":false},\"_type\":\"CustomComponent\",\"credentials_profile_name\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"password\":false,\"name\":\"credentials_profile_name\",\"display_name\":\"Credentials Profile Name\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"str\",\"list\":false},\"endpoint_url\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"password\":false,\"name\":\"endpoint_url\",\"display_name\":\"Bedrock Endpoint URL\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"str\",\"list\":false},\"model_id\":{\"required\":true,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"value\":\"amazon.titan-embed-text-v1\",\"password\":false,\"options\":[\"amazon.titan-embed-text-v1\"],\"name\":\"model_id\",\"display_name\":\"Model Id\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"str\",\"list\":true},\"region_name\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"password\":false,\"name\":\"region_name\",\"display_name\":\"AWS Region\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"str\",\"list\":false}},\"description\":\"Embeddings model from Amazon Bedrock.\",\"base_classes\":[\"Embeddings\"],\"display_name\":\"Amazon Bedrock Embeddings\",\"custom_fields\":{\"credentials_profile_name\":null,\"endpoint_url\":null,\"model_id\":null,\"region_name\":null},\"output_types\":[\"AmazonBedrockEmbeddings\"],\"documentation\":\"https://python.langchain.com/docs/modules/data_connection/text_embedding/integrations/bedrock\",\"beta\":true,\"error\":null,\"official\":false},\"id\":\"AmazonBedrockEmbeddings-28ASv\"},\"id\":\"AmazonBedrockEmbeddings-28ASv\",\"position\":{\"x\":0,\"y\":0},\"type\":\"genericNode\"}],\"viewport\":{\"x\":1,\"y\":1,\"zoom\":1}},\"is_component\":true,\"updated_at\":\"2023-12-09T14:03:41.066618\",\"folder\":null,\"id\":\"850ba4e6-96ca-49a7-9b0c-4b7048fd52c8\",\"user_id\":\"d253bfba-6368-44dc-85f7-0d6da9e45968\"},{\"name\":\"ConversationBufferMemory\",\"description\":\"Buffer for storing conversation memory.\",\"data\":{\"edges\":[],\"nodes\":[{\"data\":{\"type\":\"ConversationBufferMemory\",\"node\":{\"template\":{\"chat_memory\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"password\":false,\"name\":\"chat_memory\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"BaseChatMessageHistory\",\"list\":false},\"ai_prefix\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"value\":\"AI\",\"password\":false,\"name\":\"ai_prefix\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"str\",\"list\":false},\"human_prefix\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"value\":\"Human\",\"password\":false,\"name\":\"human_prefix\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"str\",\"list\":false},\"input_key\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"value\":\"\",\"password\":false,\"name\":\"input_key\",\"advanced\":false,\"dynamic\":false,\"info\":\"The variable to be used as Chat Input when more than one variable is available.\",\"type\":\"str\",\"list\":false},\"memory_key\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"value\":\"chat_history\",\"password\":false,\"name\":\"memory_key\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"str\",\"list\":false},\"output_key\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"value\":\"\",\"password\":false,\"name\":\"output_key\",\"advanced\":false,\"dynamic\":false,\"info\":\"The variable to be used as Chat Output (e.g. answer in a ConversationalRetrievalChain)\",\"type\":\"str\",\"list\":false},\"return_messages\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"password\":false,\"name\":\"return_messages\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"bool\",\"list\":false},\"_type\":\"ConversationBufferMemory\"},\"description\":\"Buffer for storing conversation memory.\",\"base_classes\":[\"BaseMemory\",\"BaseChatMemory\",\"ConversationBufferMemory\"],\"display_name\":\"ConversationBufferMemory\",\"custom_fields\":{},\"output_types\":[],\"documentation\":\"https://python.langchain.com/docs/modules/memory/how_to/buffer\",\"beta\":false,\"error\":null,\"official\":false},\"id\":\"ConversationBufferMemory-WaoLx\"},\"id\":\"ConversationBufferMemory-WaoLx\",\"position\":{\"x\":0,\"y\":0},\"type\":\"genericNode\"}],\"viewport\":{\"x\":1,\"y\":1,\"zoom\":1}},\"is_component\":true,\"updated_at\":\"2023-12-09T14:04:46.058568\",\"folder\":null,\"id\":\"be650940-0449-4eb0-a708-056310f924fd\",\"user_id\":\"d253bfba-6368-44dc-85f7-0d6da9e45968\"},{\"name\":\"Amazon Bedrock Embeddings (1)\",\"description\":\"Embeddings model from Amazon Bedrock.\",\"data\":{\"edges\":[],\"nodes\":[{\"data\":{\"type\":\"AmazonBedrockEmbeddings\",\"node\":{\"template\":{\"code\":{\"dynamic\":true,\"required\":true,\"placeholder\":\"\",\"show\":false,\"multiline\":true,\"value\":\"from typing import Optional\\n\\nfrom langchain.embeddings import BedrockEmbeddings\\nfrom langchain.embeddings.base import Embeddings\\nfrom langflow import CustomComponent\\n\\n\\nclass AmazonBedrockEmeddingsComponent(CustomComponent):\\n \\\"\\\"\\\"\\n A custom component for implementing an Embeddings Model using Amazon Bedrock.\\n \\\"\\\"\\\"\\n\\n display_name: str = \\\"Amazon Bedrock Embeddings\\\"\\n description: str = \\\"Embeddings model from Amazon Bedrock.\\\"\\n documentation = \\\"https://python.langchain.com/docs/modules/data_connection/text_embedding/integrations/bedrock\\\"\\n beta = True\\n\\n def build_config(self):\\n return {\\n \\\"model_id\\\": {\\n \\\"display_name\\\": \\\"Model Id\\\",\\n \\\"options\\\": [\\\"amazon.titan-embed-text-v1\\\"],\\n },\\n \\\"credentials_profile_name\\\": {\\\"display_name\\\": \\\"Credentials Profile Name\\\"},\\n \\\"endpoint_url\\\": {\\\"display_name\\\": \\\"Bedrock Endpoint URL\\\"},\\n \\\"region_name\\\": {\\\"display_name\\\": \\\"AWS Region\\\"},\\n \\\"code\\\": {\\\"show\\\": False},\\n }\\n\\n def build(\\n self,\\n model_id: str = \\\"amazon.titan-embed-text-v1\\\",\\n credentials_profile_name: Optional[str] = None,\\n endpoint_url: Optional[str] = None,\\n region_name: Optional[str] = None,\\n ) -> Embeddings:\\n try:\\n output = BedrockEmbeddings(\\n credentials_profile_name=credentials_profile_name,\\n model_id=model_id,\\n endpoint_url=endpoint_url,\\n region_name=region_name,\\n ) # type: ignore\\n except Exception as e:\\n raise ValueError(\\\"Could not connect to AmazonBedrock API.\\\") from e\\n return output\\n\",\"password\":false,\"name\":\"code\",\"advanced\":false,\"type\":\"code\",\"list\":false},\"_type\":\"CustomComponent\",\"credentials_profile_name\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"password\":false,\"name\":\"credentials_profile_name\",\"display_name\":\"Credentials Profile Name\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"str\",\"list\":false},\"endpoint_url\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"password\":false,\"name\":\"endpoint_url\",\"display_name\":\"Bedrock Endpoint URL\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"str\",\"list\":false},\"model_id\":{\"required\":true,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"value\":\"amazon.titan-embed-text-v1\",\"password\":false,\"options\":[\"amazon.titan-embed-text-v1\"],\"name\":\"model_id\",\"display_name\":\"Model Id\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"str\",\"list\":true},\"region_name\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"password\":false,\"name\":\"region_name\",\"display_name\":\"AWS Region\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"str\",\"list\":false}},\"description\":\"Embeddings model from Amazon Bedrock.\",\"base_classes\":[\"Embeddings\"],\"display_name\":\"Amazon Bedrock Embeddings\",\"custom_fields\":{\"credentials_profile_name\":null,\"endpoint_url\":null,\"model_id\":null,\"region_name\":null},\"output_types\":[\"AmazonBedrockEmbeddings\"],\"documentation\":\"https://python.langchain.com/docs/modules/data_connection/text_embedding/integrations/bedrock\",\"beta\":true,\"error\":null,\"official\":false},\"id\":\"AmazonBedrockEmbeddings-Bs5PG\"},\"id\":\"AmazonBedrockEmbeddings-Bs5PG\",\"position\":{\"x\":0,\"y\":0},\"type\":\"genericNode\"}],\"viewport\":{\"x\":1,\"y\":1,\"zoom\":1}},\"is_component\":true,\"updated_at\":\"2023-12-09T14:05:50.570800\",\"folder\":null,\"id\":\"53ad1fe2-f3af-4354-86e0-eb141ce12859\",\"user_id\":\"d253bfba-6368-44dc-85f7-0d6da9e45968\"},{\"name\":\"Amazon Bedrock Embeddings (2)\",\"description\":\"Embeddings model from Amazon Bedrock.\",\"data\":{\"edges\":[],\"nodes\":[{\"data\":{\"type\":\"AmazonBedrockEmbeddings\",\"node\":{\"template\":{\"code\":{\"dynamic\":true,\"required\":true,\"placeholder\":\"\",\"show\":false,\"multiline\":true,\"value\":\"from typing import Optional\\n\\nfrom langchain.embeddings import BedrockEmbeddings\\nfrom langchain.embeddings.base import Embeddings\\nfrom langflow import CustomComponent\\n\\n\\nclass AmazonBedrockEmeddingsComponent(CustomComponent):\\n \\\"\\\"\\\"\\n A custom component for implementing an Embeddings Model using Amazon Bedrock.\\n \\\"\\\"\\\"\\n\\n display_name: str = \\\"Amazon Bedrock Embeddings\\\"\\n description: str = \\\"Embeddings model from Amazon Bedrock.\\\"\\n documentation = \\\"https://python.langchain.com/docs/modules/data_connection/text_embedding/integrations/bedrock\\\"\\n beta = True\\n\\n def build_config(self):\\n return {\\n \\\"model_id\\\": {\\n \\\"display_name\\\": \\\"Model Id\\\",\\n \\\"options\\\": [\\\"amazon.titan-embed-text-v1\\\"],\\n },\\n \\\"credentials_profile_name\\\": {\\\"display_name\\\": \\\"Credentials Profile Name\\\"},\\n \\\"endpoint_url\\\": {\\\"display_name\\\": \\\"Bedrock Endpoint URL\\\"},\\n \\\"region_name\\\": {\\\"display_name\\\": \\\"AWS Region\\\"},\\n \\\"code\\\": {\\\"show\\\": False},\\n }\\n\\n def build(\\n self,\\n model_id: str = \\\"amazon.titan-embed-text-v1\\\",\\n credentials_profile_name: Optional[str] = None,\\n endpoint_url: Optional[str] = None,\\n region_name: Optional[str] = None,\\n ) -> Embeddings:\\n try:\\n output = BedrockEmbeddings(\\n credentials_profile_name=credentials_profile_name,\\n model_id=model_id,\\n endpoint_url=endpoint_url,\\n region_name=region_name,\\n ) # type: ignore\\n except Exception as e:\\n raise ValueError(\\\"Could not connect to AmazonBedrock API.\\\") from e\\n return output\\n\",\"password\":false,\"name\":\"code\",\"advanced\":false,\"type\":\"code\",\"list\":false},\"_type\":\"CustomComponent\",\"credentials_profile_name\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"password\":false,\"name\":\"credentials_profile_name\",\"display_name\":\"Credentials Profile Name\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"str\",\"list\":false},\"endpoint_url\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"password\":false,\"name\":\"endpoint_url\",\"display_name\":\"Bedrock Endpoint URL\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"str\",\"list\":false},\"model_id\":{\"required\":true,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"value\":\"amazon.titan-embed-text-v1\",\"password\":false,\"options\":[\"amazon.titan-embed-text-v1\"],\"name\":\"model_id\",\"display_name\":\"Model Id\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"str\",\"list\":true},\"region_name\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"password\":false,\"name\":\"region_name\",\"display_name\":\"AWS Region\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"str\",\"list\":false}},\"description\":\"Embeddings model from Amazon Bedrock.\",\"base_classes\":[\"Embeddings\"],\"display_name\":\"Amazon Bedrock Embeddings\",\"custom_fields\":{\"credentials_profile_name\":null,\"endpoint_url\":null,\"model_id\":null,\"region_name\":null},\"output_types\":[\"AmazonBedrockEmbeddings\"],\"documentation\":\"https://python.langchain.com/docs/modules/data_connection/text_embedding/integrations/bedrock\",\"beta\":true,\"error\":null,\"official\":false},\"id\":\"AmazonBedrockEmbeddings-zSZ4t\"},\"id\":\"AmazonBedrockEmbeddings-zSZ4t\",\"position\":{\"x\":0,\"y\":0},\"type\":\"genericNode\"}],\"viewport\":{\"x\":1,\"y\":1,\"zoom\":1}},\"is_component\":true,\"updated_at\":\"2023-12-09T14:06:11.415088\",\"folder\":null,\"id\":\"e9ed1c90-146e-452d-8ccd-ebf2e0da4331\",\"user_id\":\"d253bfba-6368-44dc-85f7-0d6da9e45968\"},{\"name\":\"Amazon Bedrock Embeddings (3)\",\"description\":\"Embeddings model from Amazon Bedrock.\",\"data\":{\"edges\":[],\"nodes\":[{\"data\":{\"type\":\"AmazonBedrockEmbeddings\",\"node\":{\"template\":{\"code\":{\"dynamic\":true,\"required\":true,\"placeholder\":\"\",\"show\":false,\"multiline\":true,\"value\":\"from typing import Optional\\n\\nfrom langchain.embeddings import BedrockEmbeddings\\nfrom langchain.embeddings.base import Embeddings\\nfrom langflow import CustomComponent\\n\\n\\nclass AmazonBedrockEmeddingsComponent(CustomComponent):\\n \\\"\\\"\\\"\\n A custom component for implementing an Embeddings Model using Amazon Bedrock.\\n \\\"\\\"\\\"\\n\\n display_name: str = \\\"Amazon Bedrock Embeddings\\\"\\n description: str = \\\"Embeddings model from Amazon Bedrock.\\\"\\n documentation = \\\"https://python.langchain.com/docs/modules/data_connection/text_embedding/integrations/bedrock\\\"\\n beta = True\\n\\n def build_config(self):\\n return {\\n \\\"model_id\\\": {\\n \\\"display_name\\\": \\\"Model Id\\\",\\n \\\"options\\\": [\\\"amazon.titan-embed-text-v1\\\"],\\n },\\n \\\"credentials_profile_name\\\": {\\\"display_name\\\": \\\"Credentials Profile Name\\\"},\\n \\\"endpoint_url\\\": {\\\"display_name\\\": \\\"Bedrock Endpoint URL\\\"},\\n \\\"region_name\\\": {\\\"display_name\\\": \\\"AWS Region\\\"},\\n \\\"code\\\": {\\\"show\\\": False},\\n }\\n\\n def build(\\n self,\\n model_id: str = \\\"amazon.titan-embed-text-v1\\\",\\n credentials_profile_name: Optional[str] = None,\\n endpoint_url: Optional[str] = None,\\n region_name: Optional[str] = None,\\n ) -> Embeddings:\\n try:\\n output = BedrockEmbeddings(\\n credentials_profile_name=credentials_profile_name,\\n model_id=model_id,\\n endpoint_url=endpoint_url,\\n region_name=region_name,\\n ) # type: ignore\\n except Exception as e:\\n raise ValueError(\\\"Could not connect to AmazonBedrock API.\\\") from e\\n return output\\n\",\"password\":false,\"name\":\"code\",\"advanced\":false,\"type\":\"code\",\"list\":false},\"_type\":\"CustomComponent\",\"credentials_profile_name\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"password\":false,\"name\":\"credentials_profile_name\",\"display_name\":\"Credentials Profile Name\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"str\",\"list\":false},\"endpoint_url\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"password\":false,\"name\":\"endpoint_url\",\"display_name\":\"Bedrock Endpoint URL\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"str\",\"list\":false},\"model_id\":{\"required\":true,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"value\":\"amazon.titan-embed-text-v1\",\"password\":false,\"options\":[\"amazon.titan-embed-text-v1\"],\"name\":\"model_id\",\"display_name\":\"Model Id\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"str\",\"list\":true},\"region_name\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"password\":false,\"name\":\"region_name\",\"display_name\":\"AWS Region\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"str\",\"list\":false}},\"description\":\"Embeddings model from Amazon Bedrock.\",\"base_classes\":[\"Embeddings\"],\"display_name\":\"Amazon Bedrock Embeddings\",\"custom_fields\":{\"credentials_profile_name\":null,\"endpoint_url\":null,\"model_id\":null,\"region_name\":null},\"output_types\":[\"AmazonBedrockEmbeddings\"],\"documentation\":\"https://python.langchain.com/docs/modules/data_connection/text_embedding/integrations/bedrock\",\"beta\":true,\"error\":null,\"official\":false},\"id\":\"AmazonBedrockEmbeddings-Bxhlt\"},\"id\":\"AmazonBedrockEmbeddings-Bxhlt\",\"position\":{\"x\":0,\"y\":0},\"type\":\"genericNode\"}],\"viewport\":{\"x\":1,\"y\":1,\"zoom\":1}},\"is_component\":true,\"updated_at\":\"2023-12-09T14:07:06.411108\",\"folder\":null,\"id\":\"83783c57-64e3-41a6-aa7e-ed82f80f1e53\",\"user_id\":\"d253bfba-6368-44dc-85f7-0d6da9e45968\"},{\"name\":\"CSVLoader (6)\",\"description\":\"Load a `CSV` file into a list of Documents.\",\"data\":{\"edges\":[],\"nodes\":[{\"data\":{\"type\":\"CSVLoader\",\"node\":{\"template\":{\"file_path\":{\"required\":true,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"value\":\"\",\"password\":false,\"name\":\"file_path\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"file\",\"list\":false,\"fileTypes\":[\".csv\"],\"file_path\":null},\"metadata\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"value\":[{\"z2b\":\"z9\"}],\"password\":false,\"name\":\"metadata\",\"display_name\":\"Metadata\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"dict\",\"list\":false},\"_type\":\"CSVLoader\"},\"description\":\"Load a `CSV` file into a list of Documents.\",\"base_classes\":[\"Document\"],\"display_name\":\"CSVLoader\",\"custom_fields\":{},\"output_types\":[\"Document\"],\"documentation\":\"https://python.langchain.com/docs/modules/data_connection/document_loaders/integrations/csv\",\"beta\":false,\"error\":null,\"official\":false},\"id\":\"CSVLoader-2pn2o\"},\"id\":\"CSVLoader-2pn2o\",\"position\":{\"x\":0,\"y\":0},\"type\":\"genericNode\"}],\"viewport\":{\"x\":1,\"y\":1,\"zoom\":1}},\"is_component\":true,\"updated_at\":\"2023-12-09T14:38:30.706258\",\"folder\":null,\"id\":\"c4ae9de6-9df3-4d3c-afc9-1752af4fecd7\",\"user_id\":\"d253bfba-6368-44dc-85f7-0d6da9e45968\"},{\"name\":\"Agent Initializer\",\"description\":\"Initialize a Langchain Agent.\",\"data\":{\"edges\":[],\"nodes\":[{\"data\":{\"type\":\"AgentInitializer\",\"node\":{\"template\":{\"code\":{\"dynamic\":true,\"required\":true,\"placeholder\":\"\",\"show\":true,\"multiline\":true,\"value\":\"from typing import Callable, List, Union\\n\\nfrom langchain.agents import AgentExecutor, AgentType, initialize_agent, types\\n\\nfrom langflow import CustomComponent\\nfrom langflow.field_typing import BaseChatMemory, BaseLanguageModel, Tool\\n\\n\\nclass AgentInitializerComponent(CustomComponent):\\n display_name: str = \\\"Agent Initializer\\\"\\n description: str = \\\"Initialize a Langchain Agent.\\\"\\n documentation: str = \\\"https://python.langchain.com/docs/modules/agents/agent_types/\\\"\\n\\n def build_config(self):\\n agents = list(types.AGENT_TO_CLASS.keys())\\n # field_type and required are optional\\n return {\\n \\\"agent\\\": {\\\"options\\\": agents, \\\"value\\\": agents[0], \\\"display_name\\\": \\\"Agent Type\\\"},\\n \\\"max_iterations\\\": {\\\"display_name\\\": \\\"Max Iterations\\\", \\\"value\\\": 10},\\n \\\"memory\\\": {\\\"display_name\\\": \\\"Memory\\\"},\\n \\\"tools\\\": {\\\"display_name\\\": \\\"Tools\\\"},\\n \\\"llm\\\": {\\\"display_name\\\": \\\"Language Model\\\"},\\n }\\n\\n def build(\\n self, agent: str, llm: BaseLanguageModel, memory: BaseChatMemory, tools: List[Tool], max_iterations: int\\n ) -> Union[AgentExecutor, Callable]:\\n agent = AgentType(agent)\\n return initialize_agent(\\n tools=tools,\\n llm=llm,\\n agent=agent,\\n memory=memory,\\n return_intermediate_steps=True,\\n handle_parsing_errors=True,\\n max_iterations=max_iterations,\\n )\\n\",\"password\":false,\"name\":\"code\",\"advanced\":false,\"type\":\"code\",\"list\":false},\"_type\":\"CustomComponent\",\"agent\":{\"required\":true,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"value\":\"zero-shot-react-description\",\"password\":false,\"options\":[\"zero-shot-react-description\",\"react-docstore\",\"self-ask-with-search\",\"conversational-react-description\",\"chat-zero-shot-react-description\",\"chat-conversational-react-description\",\"structured-chat-zero-shot-react-description\",\"openai-functions\",\"openai-multi-functions\",\"JsonAgent\",\"CSVAgent\",\"AgentInitializer\",\"VectorStoreAgent\",\"VectorStoreRouterAgent\",\"SQLAgent\"],\"name\":\"agent\",\"display_name\":\"Agent Type\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"str\",\"list\":true},\"llm\":{\"required\":true,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"password\":false,\"name\":\"llm\",\"display_name\":\"Language Model\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"BaseLanguageModel\",\"list\":false},\"max_iterations\":{\"required\":true,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"value\":10,\"password\":false,\"name\":\"max_iterations\",\"display_name\":\"Max Iterations\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"int\",\"list\":false},\"memory\":{\"required\":true,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"password\":false,\"name\":\"memory\",\"display_name\":\"Memory\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"BaseChatMemory\",\"list\":false},\"tools\":{\"required\":true,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"password\":false,\"name\":\"tools\",\"display_name\":\"Tools\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"Tool\",\"list\":true}},\"description\":\"Initialize a Langchain Agent.\",\"base_classes\":[\"Chain\",\"AgentExecutor\",\"Callable\"],\"display_name\":\"Agent Initializer\",\"custom_fields\":{\"agent\":null,\"llm\":null,\"max_iterations\":null,\"memory\":null,\"tools\":null},\"output_types\":[\"AgentInitializer\"],\"documentation\":\"https://python.langchain.com/docs/modules/agents/agent_types/\",\"beta\":true,\"error\":null,\"official\":false},\"id\":\"AgentInitializer-MJrAC\"},\"id\":\"AgentInitializer-MJrAC\",\"position\":{\"x\":0,\"y\":0},\"type\":\"genericNode\"}],\"viewport\":{\"x\":1,\"y\":1,\"zoom\":1}},\"is_component\":true,\"updated_at\":\"2023-12-09T14:42:54.715163\",\"folder\":null,\"id\":\"ff84b5f9-5680-4084-a9f1-7d94fe675486\",\"user_id\":\"d253bfba-6368-44dc-85f7-0d6da9e45968\"},{\"name\":\"Agent Initializer (1)\",\"description\":\"Initialize a Langchain Agent.\",\"data\":{\"edges\":[],\"nodes\":[{\"data\":{\"type\":\"AgentInitializer\",\"node\":{\"template\":{\"code\":{\"dynamic\":true,\"required\":true,\"placeholder\":\"\",\"show\":true,\"multiline\":true,\"value\":\"from typing import Callable, List, Union\\n\\nfrom langchain.agents import AgentExecutor, AgentType, initialize_agent, types\\n\\nfrom langflow import CustomComponent\\nfrom langflow.field_typing import BaseChatMemory, BaseLanguageModel, Tool\\n\\n\\nclass AgentInitializerComponent(CustomComponent):\\n display_name: str = \\\"Agent Initializer\\\"\\n description: str = \\\"Initialize a Langchain Agent.\\\"\\n documentation: str = \\\"https://python.langchain.com/docs/modules/agents/agent_types/\\\"\\n\\n def build_config(self):\\n agents = list(types.AGENT_TO_CLASS.keys())\\n # field_type and required are optional\\n return {\\n \\\"agent\\\": {\\\"options\\\": agents, \\\"value\\\": agents[0], \\\"display_name\\\": \\\"Agent Type\\\"},\\n \\\"max_iterations\\\": {\\\"display_name\\\": \\\"Max Iterations\\\", \\\"value\\\": 10},\\n \\\"memory\\\": {\\\"display_name\\\": \\\"Memory\\\"},\\n \\\"tools\\\": {\\\"display_name\\\": \\\"Tools\\\"},\\n \\\"llm\\\": {\\\"display_name\\\": \\\"Language Model\\\"},\\n }\\n\\n def build(\\n self, agent: str, llm: BaseLanguageModel, memory: BaseChatMemory, tools: List[Tool], max_iterations: int\\n ) -> Union[AgentExecutor, Callable]:\\n agent = AgentType(agent)\\n return initialize_agent(\\n tools=tools,\\n llm=llm,\\n agent=agent,\\n memory=memory,\\n return_intermediate_steps=True,\\n handle_parsing_errors=True,\\n max_iterations=max_iterations,\\n )\\n\",\"password\":false,\"name\":\"code\",\"advanced\":false,\"type\":\"code\",\"list\":false},\"_type\":\"CustomComponent\",\"agent\":{\"required\":true,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"value\":\"zero-shot-react-description\",\"password\":false,\"options\":[\"zero-shot-react-description\",\"react-docstore\",\"self-ask-with-search\",\"conversational-react-description\",\"chat-zero-shot-react-description\",\"chat-conversational-react-description\",\"structured-chat-zero-shot-react-description\",\"openai-functions\",\"openai-multi-functions\",\"JsonAgent\",\"CSVAgent\",\"AgentInitializer\",\"VectorStoreAgent\",\"VectorStoreRouterAgent\",\"SQLAgent\"],\"name\":\"agent\",\"display_name\":\"Agent Type\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"str\",\"list\":true},\"llm\":{\"required\":true,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"password\":false,\"name\":\"llm\",\"display_name\":\"Language Model\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"BaseLanguageModel\",\"list\":false},\"max_iterations\":{\"required\":true,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"value\":10,\"password\":false,\"name\":\"max_iterations\",\"display_name\":\"Max Iterations\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"int\",\"list\":false},\"memory\":{\"required\":true,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"password\":false,\"name\":\"memory\",\"display_name\":\"Memory\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"BaseChatMemory\",\"list\":false},\"tools\":{\"required\":true,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"password\":false,\"name\":\"tools\",\"display_name\":\"Tools\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"Tool\",\"list\":true}},\"description\":\"Initialize a Langchain Agent.\",\"base_classes\":[\"Chain\",\"AgentExecutor\",\"Callable\"],\"display_name\":\"Agent Initializer\",\"custom_fields\":{\"agent\":null,\"llm\":null,\"max_iterations\":null,\"memory\":null,\"tools\":null},\"output_types\":[\"AgentInitializer\"],\"documentation\":\"https://python.langchain.com/docs/modules/agents/agent_types/\",\"beta\":true,\"error\":null,\"official\":false},\"id\":\"AgentInitializer-3lcZ4\"},\"id\":\"AgentInitializer-3lcZ4\",\"position\":{\"x\":0,\"y\":0},\"type\":\"genericNode\"}],\"viewport\":{\"x\":1,\"y\":1,\"zoom\":1}},\"is_component\":true,\"updated_at\":\"2023-12-09T14:43:20.819934\",\"folder\":null,\"id\":\"97f5db9f-d6cc-4555-88fb-3be102c67814\",\"user_id\":\"d253bfba-6368-44dc-85f7-0d6da9e45968\"},{\"name\":\"Exuberant Banach\",\"description\":\"Unfolding Linguistic Possibilities.\",\"data\":{\"nodes\":[],\"edges\":[],\"viewport\":{\"zoom\":1,\"x\":0,\"y\":0}},\"is_component\":false,\"updated_at\":\"2023-12-09T14:52:49.951416\",\"folder\":null,\"id\":\"a600acd1-213a-4ce7-8648-ab2ee59f5918\",\"user_id\":\"d253bfba-6368-44dc-85f7-0d6da9e45968\"},{\"name\":\"AirbyteJSONLoader (3)\",\"description\":\"Load local `Airbyte` json files.\",\"data\":{\"edges\":[],\"nodes\":[{\"data\":{\"type\":\"AirbyteJSONLoader\",\"node\":{\"template\":{\"file_path\":{\"required\":true,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"value\":\"\",\"password\":false,\"name\":\"file_path\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"file\",\"list\":false,\"fileTypes\":[\".json\"],\"file_path\":null},\"metadata\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"value\":[{\"\":\"\"}],\"password\":false,\"name\":\"metadata\",\"display_name\":\"Metadata\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"dict\",\"list\":false},\"_type\":\"AirbyteJSONLoader\"},\"description\":\"Load local `Airbyte` json files.\",\"base_classes\":[\"Document\"],\"display_name\":\"AirbyteJSONLoader\",\"custom_fields\":{},\"output_types\":[\"Document\"],\"documentation\":\"https://python.langchain.com/docs/modules/data_connection/document_loaders/integrations/airbyte_json\",\"beta\":false,\"error\":null,\"official\":false},\"id\":\"AirbyteJSONLoader-JhQtx\"},\"id\":\"AirbyteJSONLoader-JhQtx\",\"position\":{\"x\":0,\"y\":0},\"type\":\"genericNode\"}],\"viewport\":{\"x\":1,\"y\":1,\"zoom\":1}},\"is_component\":true,\"updated_at\":\"2023-12-09T14:44:49.587337\",\"folder\":null,\"id\":\"07c52ad7-ca52-4cdd-ab40-74a91dbad0dd\",\"user_id\":\"d253bfba-6368-44dc-85f7-0d6da9e45968\"},{\"name\":\"AirbyteJSONLoader (4)\",\"description\":\"Load local `Airbyte` json files.\",\"data\":{\"edges\":[],\"nodes\":[{\"data\":{\"type\":\"AirbyteJSONLoader\",\"node\":{\"template\":{\"file_path\":{\"required\":true,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"value\":\"\",\"password\":false,\"name\":\"file_path\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"file\",\"list\":false,\"fileTypes\":[\".json\"],\"file_path\":null},\"metadata\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"value\":[{\"\":\"\"}],\"password\":false,\"name\":\"metadata\",\"display_name\":\"Metadata\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"dict\",\"list\":false},\"_type\":\"AirbyteJSONLoader\"},\"description\":\"Load local `Airbyte` json files.\",\"base_classes\":[\"Document\"],\"display_name\":\"AirbyteJSONLoader\",\"custom_fields\":{},\"output_types\":[\"Document\"],\"documentation\":\"https://python.langchain.com/docs/modules/data_connection/document_loaders/integrations/airbyte_json\",\"beta\":false,\"error\":null,\"official\":false},\"id\":\"AirbyteJSONLoader-bIvDc\"},\"id\":\"AirbyteJSONLoader-bIvDc\",\"position\":{\"x\":0,\"y\":0},\"type\":\"genericNode\"}],\"viewport\":{\"x\":1,\"y\":1,\"zoom\":1}},\"is_component\":true,\"updated_at\":\"2023-12-09T14:45:13.458500\",\"folder\":null,\"id\":\"53e4d256-3653-444b-b8e0-fb97b3ae5c7e\",\"user_id\":\"d253bfba-6368-44dc-85f7-0d6da9e45968\"},{\"name\":\"AirbyteJSONLoader (5)\",\"description\":\"Load local `Airbyte` json files.\",\"data\":{\"edges\":[],\"nodes\":[{\"data\":{\"type\":\"AirbyteJSONLoader\",\"node\":{\"template\":{\"file_path\":{\"required\":true,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"value\":\"\",\"password\":false,\"name\":\"file_path\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"file\",\"list\":false,\"fileTypes\":[\".json\"],\"file_path\":null},\"metadata\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"value\":[{\"\":\"\"}],\"password\":false,\"name\":\"metadata\",\"display_name\":\"Metadata\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"dict\",\"list\":false},\"_type\":\"AirbyteJSONLoader\"},\"description\":\"Load local `Airbyte` json files.\",\"base_classes\":[\"Document\"],\"display_name\":\"AirbyteJSONLoader\",\"custom_fields\":{},\"output_types\":[\"Document\"],\"documentation\":\"https://python.langchain.com/docs/modules/data_connection/document_loaders/integrations/airbyte_json\",\"beta\":false,\"error\":null,\"official\":false},\"id\":\"AirbyteJSONLoader-2BLS8\"},\"id\":\"AirbyteJSONLoader-2BLS8\",\"position\":{\"x\":0,\"y\":0},\"type\":\"genericNode\"}],\"viewport\":{\"x\":1,\"y\":1,\"zoom\":1}},\"is_component\":true,\"updated_at\":\"2023-12-09T14:45:44.461699\",\"folder\":null,\"id\":\"b5158cc1-c6b8-4e25-907a-bc7e7637aa38\",\"user_id\":\"d253bfba-6368-44dc-85f7-0d6da9e45968\"},{\"name\":\"Amazon Bedrock Embeddings (4)\",\"description\":\"Embeddings model from Amazon Bedrock.\",\"data\":{\"edges\":[],\"nodes\":[{\"data\":{\"type\":\"AmazonBedrockEmbeddings\",\"node\":{\"template\":{\"code\":{\"dynamic\":true,\"required\":true,\"placeholder\":\"\",\"show\":false,\"multiline\":true,\"value\":\"from typing import Optional\\n\\nfrom langchain.embeddings import BedrockEmbeddings\\nfrom langchain.embeddings.base import Embeddings\\nfrom langflow import CustomComponent\\n\\n\\nclass AmazonBedrockEmeddingsComponent(CustomComponent):\\n \\\"\\\"\\\"\\n A custom component for implementing an Embeddings Model using Amazon Bedrock.\\n \\\"\\\"\\\"\\n\\n display_name: str = \\\"Amazon Bedrock Embeddings\\\"\\n description: str = \\\"Embeddings model from Amazon Bedrock.\\\"\\n documentation = \\\"https://python.langchain.com/docs/modules/data_connection/text_embedding/integrations/bedrock\\\"\\n beta = True\\n\\n def build_config(self):\\n return {\\n \\\"model_id\\\": {\\n \\\"display_name\\\": \\\"Model Id\\\",\\n \\\"options\\\": [\\\"amazon.titan-embed-text-v1\\\"],\\n },\\n \\\"credentials_profile_name\\\": {\\\"display_name\\\": \\\"Credentials Profile Name\\\"},\\n \\\"endpoint_url\\\": {\\\"display_name\\\": \\\"Bedrock Endpoint URL\\\"},\\n \\\"region_name\\\": {\\\"display_name\\\": \\\"AWS Region\\\"},\\n \\\"code\\\": {\\\"show\\\": False},\\n }\\n\\n def build(\\n self,\\n model_id: str = \\\"amazon.titan-embed-text-v1\\\",\\n credentials_profile_name: Optional[str] = None,\\n endpoint_url: Optional[str] = None,\\n region_name: Optional[str] = None,\\n ) -> Embeddings:\\n try:\\n output = BedrockEmbeddings(\\n credentials_profile_name=credentials_profile_name,\\n model_id=model_id,\\n endpoint_url=endpoint_url,\\n region_name=region_name,\\n ) # type: ignore\\n except Exception as e:\\n raise ValueError(\\\"Could not connect to AmazonBedrock API.\\\") from e\\n return output\\n\",\"password\":false,\"name\":\"code\",\"advanced\":false,\"type\":\"code\",\"list\":false},\"_type\":\"CustomComponent\",\"credentials_profile_name\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"password\":false,\"name\":\"credentials_profile_name\",\"display_name\":\"Credentials Profile Name\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"str\",\"list\":false},\"endpoint_url\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"password\":false,\"name\":\"endpoint_url\",\"display_name\":\"Bedrock Endpoint URL\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"str\",\"list\":false},\"model_id\":{\"required\":true,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"value\":\"amazon.titan-embed-text-v1\",\"password\":false,\"options\":[\"amazon.titan-embed-text-v1\"],\"name\":\"model_id\",\"display_name\":\"Model Id\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"str\",\"list\":true},\"region_name\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"password\":false,\"name\":\"region_name\",\"display_name\":\"AWS Region\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"str\",\"list\":false}},\"description\":\"Embeddings model from Amazon Bedrock.\",\"base_classes\":[\"Embeddings\"],\"display_name\":\"Amazon Bedrock Embeddings\",\"custom_fields\":{\"credentials_profile_name\":null,\"endpoint_url\":null,\"model_id\":null,\"region_name\":null},\"output_types\":[\"AmazonBedrockEmbeddings\"],\"documentation\":\"https://python.langchain.com/docs/modules/data_connection/text_embedding/integrations/bedrock\",\"beta\":true,\"error\":null,\"official\":false},\"id\":\"AmazonBedrockEmbeddings-NsBzN\"},\"id\":\"AmazonBedrockEmbeddings-NsBzN\",\"position\":{\"x\":0,\"y\":0},\"type\":\"genericNode\"}],\"viewport\":{\"x\":1,\"y\":1,\"zoom\":1}},\"is_component\":true,\"updated_at\":\"2023-12-09T14:50:29.791575\",\"folder\":null,\"id\":\"3fb77f72-1be7-4ce0-ae89-a82b0eee9acf\",\"user_id\":\"d253bfba-6368-44dc-85f7-0d6da9e45968\"},{\"name\":\"Evil Golick\",\"description\":\"Where Language Meets Logic.\",\"data\":{\"nodes\":[],\"edges\":[],\"viewport\":{\"zoom\":1,\"x\":0,\"y\":0}},\"is_component\":false,\"updated_at\":\"2023-12-11T18:19:02.707854\",\"folder\":null,\"id\":\"9c5d21c2-ea82-4cf4-a591-c3d3fd3f13e6\",\"user_id\":\"d253bfba-6368-44dc-85f7-0d6da9e45968\"},{\"name\":\"Gleeful Davinci (1)\",\"description\":\"Unleashing Linguistic Creativity.\",\"data\":{\"nodes\":[],\"edges\":[],\"viewport\":{\"zoom\":1,\"x\":0,\"y\":0}},\"is_component\":false,\"updated_at\":\"2023-12-11T18:19:02.761150\",\"folder\":null,\"id\":\"f8e2e16e-129c-4116-9626-2c6b524d97b7\",\"user_id\":\"d253bfba-6368-44dc-85f7-0d6da9e45968\"},{\"name\":\"Effervescent Degrasse\",\"description\":\"Language Models, Mapped and Mastered.\",\"data\":{\"nodes\":[],\"edges\":[],\"viewport\":{\"zoom\":1,\"x\":0,\"y\":0}},\"is_component\":false,\"updated_at\":\"2023-12-11T18:19:02.764440\",\"folder\":null,\"id\":\"d7f4f7b5-effe-4834-8cab-4f2fc4f6e9de\",\"user_id\":\"d253bfba-6368-44dc-85f7-0d6da9e45968\"},{\"name\":\"Prickly Archimedes\",\"description\":\"Language Chainlink Master.\",\"data\":{\"nodes\":[],\"edges\":[],\"viewport\":{\"zoom\":1,\"x\":0,\"y\":0}},\"is_component\":false,\"updated_at\":\"2023-12-11T18:19:02.767546\",\"folder\":null,\"id\":\"2265d813-4a87-410f-b06a-65e35db8219e\",\"user_id\":\"d253bfba-6368-44dc-85f7-0d6da9e45968\"},{\"name\":\"Boring Heyrovsky\",\"description\":\"Building Intelligent Interactions.\",\"data\":{\"nodes\":[],\"edges\":[],\"viewport\":{\"zoom\":1,\"x\":0,\"y\":0}},\"is_component\":false,\"updated_at\":\"2023-12-11T18:19:02.765105\",\"folder\":null,\"id\":\"10bfd881-e67e-4c33-965d-ee041695edce\",\"user_id\":\"d253bfba-6368-44dc-85f7-0d6da9e45968\"},{\"name\":\"Nostalgic Carroll\",\"description\":\"Unfolding Linguistic Possibilities.\",\"data\":{\"nodes\":[],\"edges\":[],\"viewport\":{\"zoom\":1,\"x\":0,\"y\":0}},\"is_component\":false,\"updated_at\":\"2023-12-11T18:19:02.811794\",\"folder\":null,\"id\":\"63fa5653-4513-47f2-8dfa-baeb1d981f93\",\"user_id\":\"d253bfba-6368-44dc-85f7-0d6da9e45968\"},{\"name\":\"Pensive Perlman\",\"description\":\"Empowering Communication, Enabling Opportunities.\",\"data\":{\"nodes\":[],\"edges\":[],\"viewport\":{\"zoom\":1,\"x\":0,\"y\":0}},\"is_component\":false,\"updated_at\":\"2023-12-11T18:19:02.814993\",\"folder\":null,\"id\":\"f4bc5945-20d9-4703-a5bb-6a4a3ef7fc8e\",\"user_id\":\"d253bfba-6368-44dc-85f7-0d6da9e45968\"},{\"name\":\"Hilarious Stallman\",\"description\":\"Connect the Dots, Craft Language.\",\"data\":{\"nodes\":[],\"edges\":[],\"viewport\":{\"zoom\":1,\"x\":0,\"y\":0}},\"is_component\":false,\"updated_at\":\"2023-12-11T18:19:02.813144\",\"folder\":null,\"id\":\"8d8b80f9-4b74-4cd5-bc5c-08a32c4d2b95\",\"user_id\":\"d253bfba-6368-44dc-85f7-0d6da9e45968\"},{\"name\":\"Awesome Einstein\",\"description\":\"The Power of Language at Your Fingertips.\",\"data\":{\"nodes\":[],\"edges\":[],\"viewport\":{\"zoom\":1,\"x\":0,\"y\":0}},\"is_component\":false,\"updated_at\":\"2023-12-11T18:20:19.518262\",\"folder\":null,\"id\":\"21808fd7-a492-4e29-8863-301c2785f542\",\"user_id\":\"d253bfba-6368-44dc-85f7-0d6da9e45968\"},{\"name\":\"Funky Swanson\",\"description\":\"Sculpting Language with Precision.\",\"data\":{\"nodes\":[],\"edges\":[],\"viewport\":{\"zoom\":1,\"x\":0,\"y\":0}},\"is_component\":false,\"updated_at\":\"2023-12-11T18:20:20.185637\",\"folder\":null,\"id\":\"7752299a-4aa9-44db-8d9c-5c4a2ac1b071\",\"user_id\":\"d253bfba-6368-44dc-85f7-0d6da9e45968\"},{\"name\":\"Romantic Pascal\",\"description\":\"Unlock the Power of AI in Your Business Conversations.\",\"data\":{\"nodes\":[],\"edges\":[],\"viewport\":{\"zoom\":1,\"x\":0,\"y\":0}},\"is_component\":false,\"updated_at\":\"2023-12-11T18:20:20.223064\",\"folder\":null,\"id\":\"78f48a13-6a9f-42ce-9d58-ec9b63b381d2\",\"user_id\":\"d253bfba-6368-44dc-85f7-0d6da9e45968\"},{\"name\":\"Twinkly Bartik\",\"description\":\"Sculpting Language with Precision.\",\"data\":{\"nodes\":[],\"edges\":[],\"viewport\":{\"zoom\":1,\"x\":0,\"y\":0}},\"is_component\":false,\"updated_at\":\"2023-12-11T18:20:20.239758\",\"folder\":null,\"id\":\"38074091-3d7c-4d42-b61b-ae195c1b8a4e\",\"user_id\":\"d253bfba-6368-44dc-85f7-0d6da9e45968\"},{\"name\":\"Condescending Joliot\",\"description\":\"Language Models, Unleashed.\",\"data\":{\"nodes\":[],\"edges\":[],\"viewport\":{\"zoom\":1,\"x\":0,\"y\":0}},\"is_component\":false,\"updated_at\":\"2023-12-11T18:20:20.271996\",\"folder\":null,\"id\":\"773020aa-5c2d-4632-ad9e-21276861ab93\",\"user_id\":\"d253bfba-6368-44dc-85f7-0d6da9e45968\"},{\"name\":\"Gleeful Kalam\",\"description\":\"The Power of Language at Your Fingertips.\",\"data\":{\"nodes\":[],\"edges\":[],\"viewport\":{\"zoom\":1,\"x\":0,\"y\":0}},\"is_component\":false,\"updated_at\":\"2023-12-11T18:20:20.283929\",\"folder\":null,\"id\":\"0092d077-6d31-401f-a739-b164476b90ed\",\"user_id\":\"d253bfba-6368-44dc-85f7-0d6da9e45968\"},{\"name\":\"Grinning Bhabha\",\"description\":\"Your Passport to Linguistic Landscapes.\",\"data\":{\"nodes\":[],\"edges\":[],\"viewport\":{\"zoom\":1,\"x\":0,\"y\":0}},\"is_component\":false,\"updated_at\":\"2023-12-11T18:20:20.467739\",\"folder\":null,\"id\":\"4a395211-712d-4dd2-b3bb-e6b19200f15d\",\"user_id\":\"d253bfba-6368-44dc-85f7-0d6da9e45968\"},{\"name\":\"Mirthful Babbage\",\"description\":\"Design Dialogues with Langflow.\",\"data\":{\"nodes\":[],\"edges\":[],\"viewport\":{\"zoom\":1,\"x\":0,\"y\":0}},\"is_component\":false,\"updated_at\":\"2023-12-11T18:20:20.742990\",\"folder\":null,\"id\":\"3f086a82-3e29-4328-9da8-e02dc9201744\",\"user_id\":\"d253bfba-6368-44dc-85f7-0d6da9e45968\"},{\"name\":\"Tiny Volta\",\"description\":\"Nurture NLP Nodes Here.\",\"data\":{\"nodes\":[],\"edges\":[],\"viewport\":{\"zoom\":1,\"x\":0,\"y\":0}},\"is_component\":false,\"updated_at\":\"2023-12-11T18:24:18.594247\",\"folder\":null,\"id\":\"659b8289-c8e8-413d-9b2b-51e68411f170\",\"user_id\":\"d253bfba-6368-44dc-85f7-0d6da9e45968\"},{\"name\":\"Radiant Jennings\",\"description\":\"Design, Develop, Dialogize.\",\"data\":{\"nodes\":[],\"edges\":[],\"viewport\":{\"zoom\":1,\"x\":0,\"y\":0}},\"is_component\":false,\"updated_at\":\"2023-12-11T18:24:42.640309\",\"folder\":null,\"id\":\"f55f0640-d47e-4471-b1ba-3411d38ecac5\",\"user_id\":\"d253bfba-6368-44dc-85f7-0d6da9e45968\"},{\"name\":\"Distracted Shaw\",\"description\":\"Interactive Language Weaving.\",\"data\":{\"nodes\":[],\"edges\":[],\"viewport\":{\"zoom\":1,\"x\":0,\"y\":0}},\"is_component\":false,\"updated_at\":\"2023-12-11T18:24:58.376247\",\"folder\":null,\"id\":\"a039811e-449a-4244-83ed-4ddd731a0921\",\"user_id\":\"d253bfba-6368-44dc-85f7-0d6da9e45968\"},{\"name\":\"Peppy Murdock (1)\",\"description\":\"Language Chainlink Master.\",\"data\":{\"nodes\":[],\"edges\":[],\"viewport\":{\"zoom\":1,\"x\":0,\"y\":0}},\"is_component\":false,\"updated_at\":\"2023-12-11T18:25:14.674524\",\"folder\":null,\"id\":\"0faf6144-6ca6-4f64-a343-665ae54774ef\",\"user_id\":\"d253bfba-6368-44dc-85f7-0d6da9e45968\"},{\"name\":\"Lively Volta\",\"description\":\"Language Models, Mapped and Mastered.\",\"data\":{\"nodes\":[],\"edges\":[],\"viewport\":{\"zoom\":1,\"x\":0,\"y\":0}},\"is_component\":false,\"updated_at\":\"2023-12-11T18:26:50.418029\",\"folder\":null,\"id\":\"c5d149d0-c401-4f5e-b79f-2abcc7b8d98d\",\"user_id\":\"d253bfba-6368-44dc-85f7-0d6da9e45968\"},{\"name\":\"Bubbly Curie\",\"description\":\"Navigate the Networks of Conversation.\",\"data\":{\"nodes\":[],\"edges\":[],\"viewport\":{\"zoom\":1,\"x\":0,\"y\":0}},\"is_component\":false,\"updated_at\":\"2023-12-11T18:27:10.900899\",\"folder\":null,\"id\":\"7bb2d226-9740-433d-861f-a499632c5a13\",\"user_id\":\"d253bfba-6368-44dc-85f7-0d6da9e45968\"},{\"name\":\"Radiant Nobel\",\"description\":\"Navigate the Linguistic Landscape, Discover Opportunities.\",\"data\":{\"nodes\":[],\"edges\":[],\"viewport\":{\"zoom\":1,\"x\":0,\"y\":0}},\"is_component\":false,\"updated_at\":\"2023-12-11T18:29:11.541630\",\"folder\":null,\"id\":\"947906d8-75ea-470c-a8e2-cc80c5d3bdbb\",\"user_id\":\"d253bfba-6368-44dc-85f7-0d6da9e45968\"},{\"name\":\"Cheerful Northcutt\",\"description\":\"Unleashing Business Potential through Language Engineering.\",\"data\":{\"nodes\":[],\"edges\":[],\"viewport\":{\"zoom\":1,\"x\":0,\"y\":0}},\"is_component\":false,\"updated_at\":\"2023-12-11T18:29:37.169791\",\"folder\":null,\"id\":\"56f109fd-2c18-42ed-a9b2-089a678a0c11\",\"user_id\":\"d253bfba-6368-44dc-85f7-0d6da9e45968\"},{\"name\":\"Suspicious Khayyam\",\"description\":\"Crafting Dialogues that Drive Business Success.\",\"data\":{\"nodes\":[],\"edges\":[],\"viewport\":{\"zoom\":1,\"x\":0,\"y\":0}},\"is_component\":false,\"updated_at\":\"2023-12-11T18:30:24.686359\",\"folder\":null,\"id\":\"551d7bfa-49aa-43f1-a779-e47eabc2aaf2\",\"user_id\":\"d253bfba-6368-44dc-85f7-0d6da9e45968\"},{\"name\":\"Twinkly Spence\",\"description\":\"Create, Curate, Communicate with Langflow.\",\"data\":{\"nodes\":[],\"edges\":[],\"viewport\":{\"zoom\":1,\"x\":0,\"y\":0}},\"is_component\":false,\"updated_at\":\"2023-12-11T18:30:47.738472\",\"folder\":null,\"id\":\"12aef128-130e-492e-bf84-62d4cb4cd456\",\"user_id\":\"d253bfba-6368-44dc-85f7-0d6da9e45968\"},{\"name\":\"Mirthful Lavoisier\",\"description\":\"Nurture NLP Nodes Here.\",\"data\":{\"nodes\":[],\"edges\":[],\"viewport\":{\"zoom\":1,\"x\":0,\"y\":0}},\"is_component\":false,\"updated_at\":\"2023-12-11T18:31:43.272365\",\"folder\":null,\"id\":\"9952c044-6903-4fba-a270-6ed0b90c93c9\",\"user_id\":\"d253bfba-6368-44dc-85f7-0d6da9e45968\"},{\"name\":\"Upbeat Bose\",\"description\":\"Unravel the Art of Articulation.\",\"data\":{\"nodes\":[],\"edges\":[],\"viewport\":{\"zoom\":1,\"x\":0,\"y\":0}},\"is_component\":false,\"updated_at\":\"2023-12-11T18:32:23.972035\",\"folder\":null,\"id\":\"65f49582-c9fa-4c67-a2bc-4e8fa73ca731\",\"user_id\":\"d253bfba-6368-44dc-85f7-0d6da9e45968\"},{\"name\":\"Tender Perlman\",\"description\":\"Maximize Impact with Intelligent Conversations.\",\"data\":{\"nodes\":[],\"edges\":[],\"viewport\":{\"zoom\":1,\"x\":0,\"y\":0}},\"is_component\":false,\"updated_at\":\"2023-12-11T18:33:26.984083\",\"folder\":null,\"id\":\"9ae57fe2-c677-47fa-a059-7d3d915a1178\",\"user_id\":\"d253bfba-6368-44dc-85f7-0d6da9e45968\"},{\"name\":\"Sharp Cori\",\"description\":\"Conversation Catalyst Engine.\",\"data\":{\"nodes\":[],\"edges\":[],\"viewport\":{\"zoom\":1,\"x\":0,\"y\":0}},\"is_component\":false,\"updated_at\":\"2023-12-11T18:33:52.377359\",\"folder\":null,\"id\":\"2920dde2-5c24-4fe0-9c06-ef86b5a16a99\",\"user_id\":\"d253bfba-6368-44dc-85f7-0d6da9e45968\"}]" }, "headersSize": -1, "bodySize": -1, @@ -336,16 +378,28 @@ { "name": "Accept", "value": "application/json, text/plain, */*" }, { "name": "Accept-Encoding", "value": "gzip, deflate, br" }, { "name": "Accept-Language", "value": "en-US,en;q=0.9" }, - { "name": "Authorization", "value": "Bearer eyJhbGciOiJIUzI1NiIsInR5cCI6IkpXVCJ9.eyJzdWIiOiJkMjUzYmZiYS02MzY4LTQ0ZGMtODVmNy0wZDZkYTllNDU5NjgiLCJleHAiOjE3MzM4NTY4OTh9.5MFFb0JCck3ITSKXbxhwO9yAscnXcwXNTV70ZYBRB20" }, + { + "name": "Authorization", + "value": "Bearer eyJhbGciOiJIUzI1NiIsInR5cCI6IkpXVCJ9.eyJzdWIiOiJkMjUzYmZiYS02MzY4LTQ0ZGMtODVmNy0wZDZkYTllNDU5NjgiLCJleHAiOjE3MzM4NTY4OTh9.5MFFb0JCck3ITSKXbxhwO9yAscnXcwXNTV70ZYBRB20" + }, { "name": "Connection", "value": "keep-alive" }, - { "name": "Cookie", "value": "access_tkn_lflw=eyJhbGciOiJIUzI1NiIsInR5cCI6IkpXVCJ9.eyJzdWIiOiJkMjUzYmZiYS02MzY4LTQ0ZGMtODVmNy0wZDZkYTllNDU5NjgiLCJleHAiOjE3MzM4NTY4OTh9.5MFFb0JCck3ITSKXbxhwO9yAscnXcwXNTV70ZYBRB20; refresh_tkn_lflw=auto" }, + { + "name": "Cookie", + "value": "access_tkn_lflw=eyJhbGciOiJIUzI1NiIsInR5cCI6IkpXVCJ9.eyJzdWIiOiJkMjUzYmZiYS02MzY4LTQ0ZGMtODVmNy0wZDZkYTllNDU5NjgiLCJleHAiOjE3MzM4NTY4OTh9.5MFFb0JCck3ITSKXbxhwO9yAscnXcwXNTV70ZYBRB20; refresh_tkn_lflw=auto" + }, { "name": "Host", "value": "localhost:3000" }, { "name": "Referer", "value": "http://localhost:3000/flows" }, { "name": "Sec-Fetch-Dest", "value": "empty" }, { "name": "Sec-Fetch-Mode", "value": "cors" }, { "name": "Sec-Fetch-Site", "value": "same-origin" }, - { "name": "User-Agent", "value": "Mozilla/5.0 (X11; Linux x86_64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/119.0.0.0 Safari/537.36" }, - { "name": "sec-ch-ua", "value": "\"Chromium\";v=\"119\", \"Not?A_Brand\";v=\"24\"" }, + { + "name": "User-Agent", + "value": "Mozilla/5.0 (X11; Linux x86_64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/119.0.0.0 Safari/537.36" + }, + { + "name": "sec-ch-ua", + "value": "\"Chromium\";v=\"119\", \"Not?A_Brand\";v=\"24\"" + }, { "name": "sec-ch-ua-mobile", "value": "?0" }, { "name": "sec-ch-ua-platform", "value": "\"Linux\"" } ], @@ -390,16 +444,28 @@ { "name": "Accept", "value": "application/json, text/plain, */*" }, { "name": "Accept-Encoding", "value": "gzip, deflate, br" }, { "name": "Accept-Language", "value": "en-US,en;q=0.9" }, - { "name": "Authorization", "value": "Bearer eyJhbGciOiJIUzI1NiIsInR5cCI6IkpXVCJ9.eyJzdWIiOiJkMjUzYmZiYS02MzY4LTQ0ZGMtODVmNy0wZDZkYTllNDU5NjgiLCJleHAiOjE3MzM4NTY4OTh9.5MFFb0JCck3ITSKXbxhwO9yAscnXcwXNTV70ZYBRB20" }, + { + "name": "Authorization", + "value": "Bearer eyJhbGciOiJIUzI1NiIsInR5cCI6IkpXVCJ9.eyJzdWIiOiJkMjUzYmZiYS02MzY4LTQ0ZGMtODVmNy0wZDZkYTllNDU5NjgiLCJleHAiOjE3MzM4NTY4OTh9.5MFFb0JCck3ITSKXbxhwO9yAscnXcwXNTV70ZYBRB20" + }, { "name": "Connection", "value": "keep-alive" }, - { "name": "Cookie", "value": "access_tkn_lflw=eyJhbGciOiJIUzI1NiIsInR5cCI6IkpXVCJ9.eyJzdWIiOiJkMjUzYmZiYS02MzY4LTQ0ZGMtODVmNy0wZDZkYTllNDU5NjgiLCJleHAiOjE3MzM4NTY4OTh9.5MFFb0JCck3ITSKXbxhwO9yAscnXcwXNTV70ZYBRB20; refresh_tkn_lflw=auto" }, + { + "name": "Cookie", + "value": "access_tkn_lflw=eyJhbGciOiJIUzI1NiIsInR5cCI6IkpXVCJ9.eyJzdWIiOiJkMjUzYmZiYS02MzY4LTQ0ZGMtODVmNy0wZDZkYTllNDU5NjgiLCJleHAiOjE3MzM4NTY4OTh9.5MFFb0JCck3ITSKXbxhwO9yAscnXcwXNTV70ZYBRB20; refresh_tkn_lflw=auto" + }, { "name": "Host", "value": "localhost:3000" }, { "name": "Referer", "value": "http://localhost:3000/flows" }, { "name": "Sec-Fetch-Dest", "value": "empty" }, { "name": "Sec-Fetch-Mode", "value": "cors" }, { "name": "Sec-Fetch-Site", "value": "same-origin" }, - { "name": "User-Agent", "value": "Mozilla/5.0 (X11; Linux x86_64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/119.0.0.0 Safari/537.36" }, - { "name": "sec-ch-ua", "value": "\"Chromium\";v=\"119\", \"Not?A_Brand\";v=\"24\"" }, + { + "name": "User-Agent", + "value": "Mozilla/5.0 (X11; Linux x86_64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/119.0.0.0 Safari/537.36" + }, + { + "name": "sec-ch-ua", + "value": "\"Chromium\";v=\"119\", \"Not?A_Brand\";v=\"24\"" + }, { "name": "sec-ch-ua-mobile", "value": "?0" }, { "name": "sec-ch-ua-platform", "value": "\"Linux\"" } ], @@ -444,16 +510,31 @@ { "name": "Accept", "value": "application/json, text/plain, */*" }, { "name": "Accept-Encoding", "value": "gzip, deflate, br" }, { "name": "Accept-Language", "value": "en-US,en;q=0.9" }, - { "name": "Authorization", "value": "Bearer eyJhbGciOiJIUzI1NiIsInR5cCI6IkpXVCJ9.eyJzdWIiOiJkMjUzYmZiYS02MzY4LTQ0ZGMtODVmNy0wZDZkYTllNDU5NjgiLCJleHAiOjE3MzM4NTY4OTh9.5MFFb0JCck3ITSKXbxhwO9yAscnXcwXNTV70ZYBRB20" }, + { + "name": "Authorization", + "value": "Bearer eyJhbGciOiJIUzI1NiIsInR5cCI6IkpXVCJ9.eyJzdWIiOiJkMjUzYmZiYS02MzY4LTQ0ZGMtODVmNy0wZDZkYTllNDU5NjgiLCJleHAiOjE3MzM4NTY4OTh9.5MFFb0JCck3ITSKXbxhwO9yAscnXcwXNTV70ZYBRB20" + }, { "name": "Connection", "value": "keep-alive" }, - { "name": "Cookie", "value": "access_tkn_lflw=eyJhbGciOiJIUzI1NiIsInR5cCI6IkpXVCJ9.eyJzdWIiOiJkMjUzYmZiYS02MzY4LTQ0ZGMtODVmNy0wZDZkYTllNDU5NjgiLCJleHAiOjE3MzM4NTY4OTh9.5MFFb0JCck3ITSKXbxhwO9yAscnXcwXNTV70ZYBRB20; refresh_tkn_lflw=auto" }, + { + "name": "Cookie", + "value": "access_tkn_lflw=eyJhbGciOiJIUzI1NiIsInR5cCI6IkpXVCJ9.eyJzdWIiOiJkMjUzYmZiYS02MzY4LTQ0ZGMtODVmNy0wZDZkYTllNDU5NjgiLCJleHAiOjE3MzM4NTY4OTh9.5MFFb0JCck3ITSKXbxhwO9yAscnXcwXNTV70ZYBRB20; refresh_tkn_lflw=auto" + }, { "name": "Host", "value": "localhost:3000" }, - { "name": "Referer", "value": "http://localhost:3000/flow/2920dde2-5c24-4fe0-9c06-ef86b5a16a99" }, + { + "name": "Referer", + "value": "http://localhost:3000/flow/2920dde2-5c24-4fe0-9c06-ef86b5a16a99" + }, { "name": "Sec-Fetch-Dest", "value": "empty" }, { "name": "Sec-Fetch-Mode", "value": "cors" }, { "name": "Sec-Fetch-Site", "value": "same-origin" }, - { "name": "User-Agent", "value": "Mozilla/5.0 (X11; Linux x86_64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/119.0.0.0 Safari/537.36" }, - { "name": "sec-ch-ua", "value": "\"Chromium\";v=\"119\", \"Not?A_Brand\";v=\"24\"" }, + { + "name": "User-Agent", + "value": "Mozilla/5.0 (X11; Linux x86_64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/119.0.0.0 Safari/537.36" + }, + { + "name": "sec-ch-ua", + "value": "\"Chromium\";v=\"119\", \"Not?A_Brand\";v=\"24\"" + }, { "name": "sec-ch-ua-mobile", "value": "?0" }, { "name": "sec-ch-ua-platform", "value": "\"Linux\"" } ], @@ -498,16 +579,31 @@ { "name": "Accept", "value": "application/json, text/plain, */*" }, { "name": "Accept-Encoding", "value": "gzip, deflate, br" }, { "name": "Accept-Language", "value": "en-US,en;q=0.9" }, - { "name": "Authorization", "value": "Bearer eyJhbGciOiJIUzI1NiIsInR5cCI6IkpXVCJ9.eyJzdWIiOiJkMjUzYmZiYS02MzY4LTQ0ZGMtODVmNy0wZDZkYTllNDU5NjgiLCJleHAiOjE3MzM4NTY4OTh9.5MFFb0JCck3ITSKXbxhwO9yAscnXcwXNTV70ZYBRB20" }, + { + "name": "Authorization", + "value": "Bearer eyJhbGciOiJIUzI1NiIsInR5cCI6IkpXVCJ9.eyJzdWIiOiJkMjUzYmZiYS02MzY4LTQ0ZGMtODVmNy0wZDZkYTllNDU5NjgiLCJleHAiOjE3MzM4NTY4OTh9.5MFFb0JCck3ITSKXbxhwO9yAscnXcwXNTV70ZYBRB20" + }, { "name": "Connection", "value": "keep-alive" }, - { "name": "Cookie", "value": "access_tkn_lflw=eyJhbGciOiJIUzI1NiIsInR5cCI6IkpXVCJ9.eyJzdWIiOiJkMjUzYmZiYS02MzY4LTQ0ZGMtODVmNy0wZDZkYTllNDU5NjgiLCJleHAiOjE3MzM4NTY4OTh9.5MFFb0JCck3ITSKXbxhwO9yAscnXcwXNTV70ZYBRB20; refresh_tkn_lflw=auto" }, + { + "name": "Cookie", + "value": "access_tkn_lflw=eyJhbGciOiJIUzI1NiIsInR5cCI6IkpXVCJ9.eyJzdWIiOiJkMjUzYmZiYS02MzY4LTQ0ZGMtODVmNy0wZDZkYTllNDU5NjgiLCJleHAiOjE3MzM4NTY4OTh9.5MFFb0JCck3ITSKXbxhwO9yAscnXcwXNTV70ZYBRB20; refresh_tkn_lflw=auto" + }, { "name": "Host", "value": "localhost:3000" }, - { "name": "Referer", "value": "http://localhost:3000/flow/2920dde2-5c24-4fe0-9c06-ef86b5a16a99" }, + { + "name": "Referer", + "value": "http://localhost:3000/flow/2920dde2-5c24-4fe0-9c06-ef86b5a16a99" + }, { "name": "Sec-Fetch-Dest", "value": "empty" }, { "name": "Sec-Fetch-Mode", "value": "cors" }, { "name": "Sec-Fetch-Site", "value": "same-origin" }, - { "name": "User-Agent", "value": "Mozilla/5.0 (X11; Linux x86_64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/119.0.0.0 Safari/537.36" }, - { "name": "sec-ch-ua", "value": "\"Chromium\";v=\"119\", \"Not?A_Brand\";v=\"24\"" }, + { + "name": "User-Agent", + "value": "Mozilla/5.0 (X11; Linux x86_64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/119.0.0.0 Safari/537.36" + }, + { + "name": "sec-ch-ua", + "value": "\"Chromium\";v=\"119\", \"Not?A_Brand\";v=\"24\"" + }, { "name": "sec-ch-ua-mobile", "value": "?0" }, { "name": "sec-ch-ua-platform", "value": "\"Linux\"" } ], @@ -531,7 +627,7 @@ "content": { "size": -1, "mimeType": "application/json", - "text": "[{\"name\":\"Awesome Euclid\",\"description\":\"Language Models, Mapped and Mastered.\",\"data\":{\"nodes\":[{\"width\":384,\"height\":374,\"id\":\"PromptTemplate-m2yFu\",\"type\":\"genericNode\",\"position\":{\"x\":462.6456058272081,\"y\":1033.9314297130313},\"data\":{\"type\":\"PromptTemplate\",\"node\":{\"template\":{\"output_parser\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"password\":false,\"name\":\"output_parser\",\"advanced\":false,\"dynamic\":true,\"info\":\"\",\"type\":\"BaseOutputParser\",\"list\":false},\"input_types\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"password\":false,\"name\":\"input_types\",\"advanced\":false,\"dynamic\":true,\"info\":\"\",\"type\":\"dict\",\"list\":false},\"input_variables\":{\"required\":true,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"password\":false,\"name\":\"input_variables\",\"advanced\":false,\"dynamic\":true,\"info\":\"\",\"type\":\"str\",\"list\":true,\"value\":[\"transcription\"]},\"partial_variables\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"password\":false,\"name\":\"partial_variables\",\"advanced\":false,\"dynamic\":true,\"info\":\"\",\"type\":\"dict\",\"list\":false},\"template\":{\"required\":true,\"placeholder\":\"\",\"show\":true,\"multiline\":true,\"password\":false,\"name\":\"template\",\"advanced\":false,\"dynamic\":true,\"info\":\"\",\"type\":\"prompt\",\"list\":false,\"value\":\"create an image prompt based on the song's lyrics to be used as the album cover of this song:\\n\\nlyrics:\\n{transcription}\"},\"template_format\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"value\":\"f-string\",\"password\":false,\"name\":\"template_format\",\"advanced\":false,\"dynamic\":true,\"info\":\"\",\"type\":\"str\",\"list\":false},\"validate_template\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"value\":false,\"password\":false,\"name\":\"validate_template\",\"advanced\":false,\"dynamic\":true,\"info\":\"\",\"type\":\"bool\",\"list\":false},\"_type\":\"PromptTemplate\",\"transcription\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":true,\"value\":\"\",\"password\":false,\"name\":\"transcription\",\"display_name\":\"transcription\",\"advanced\":false,\"input_types\":[\"Document\",\"BaseOutputParser\"],\"dynamic\":false,\"info\":\"\",\"type\":\"str\",\"list\":false}},\"description\":\"A prompt template for a language model.\",\"base_classes\":[\"PromptTemplate\",\"StringPromptTemplate\",\"BasePromptTemplate\"],\"name\":\"\",\"display_name\":\"PromptTemplate\",\"documentation\":\"https://python.langchain.com/docs/modules/model_io/prompts/prompt_templates/\",\"custom_fields\":{\"\":[\"transcription\"],\"template\":[\"transcription\",\"question\"]},\"output_types\":[],\"full_path\":null,\"field_formatters\":{},\"beta\":false,\"error\":null},\"id\":\"PromptTemplate-m2yFu\"},\"selected\":false,\"positionAbsolute\":{\"x\":462.6456058272081,\"y\":1033.9314297130313},\"dragging\":false},{\"width\":384,\"height\":626,\"id\":\"ChatOpenAI-urapv\",\"type\":\"genericNode\",\"position\":{\"x\":189.94856095084924,\"y\":-85.06556385338186},\"data\":{\"type\":\"ChatOpenAI\",\"node\":{\"template\":{\"callbacks\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"password\":false,\"name\":\"callbacks\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"langchain_core.callbacks.base.BaseCallbackHandler\",\"list\":true},\"async_client\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"password\":false,\"name\":\"async_client\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"Any\",\"list\":false},\"cache\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"password\":false,\"name\":\"cache\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"bool\",\"list\":false},\"client\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"password\":false,\"name\":\"client\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"Any\",\"list\":false},\"default_headers\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"password\":false,\"name\":\"default_headers\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"dict\",\"list\":false},\"default_query\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"password\":false,\"name\":\"default_query\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"dict\",\"list\":false},\"http_client\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"password\":false,\"name\":\"http_client\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"Any\",\"list\":false},\"max_retries\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"value\":2,\"password\":false,\"name\":\"max_retries\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"int\",\"list\":false},\"max_tokens\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"password\":true,\"name\":\"max_tokens\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"int\",\"list\":false,\"value\":\"\"},\"metadata\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"password\":false,\"name\":\"metadata\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"dict\",\"list\":false},\"model_kwargs\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"password\":false,\"name\":\"model_kwargs\",\"advanced\":true,\"dynamic\":false,\"info\":\"\",\"type\":\"dict\",\"list\":false},\"model_name\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"value\":\"gpt-4-1106-preview\",\"password\":false,\"options\":[\"gpt-4-1106-preview\",\"gpt-4\",\"gpt-4-32k\",\"gpt-3.5-turbo\",\"gpt-3.5-turbo-16k\"],\"name\":\"model_name\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"str\",\"list\":true},\"n\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"value\":1,\"password\":false,\"name\":\"n\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"int\",\"list\":false},\"openai_api_base\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"password\":false,\"name\":\"openai_api_base\",\"display_name\":\"OpenAI API Base\",\"advanced\":false,\"dynamic\":false,\"info\":\"\\nThe base URL of the OpenAI API. Defaults to https://api.openai.com/v1.\\n\\nYou can change this to use other APIs like JinaChat, LocalAI and Prem.\\n\",\"type\":\"str\",\"list\":false},\"openai_api_key\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"value\":\"\",\"password\":true,\"name\":\"openai_api_key\",\"display_name\":\"OpenAI API Key\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"str\",\"list\":false},\"openai_organization\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"password\":false,\"name\":\"openai_organization\",\"display_name\":\"OpenAI Organization\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"str\",\"list\":false},\"openai_proxy\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"password\":false,\"name\":\"openai_proxy\",\"display_name\":\"OpenAI Proxy\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"str\",\"list\":false},\"request_timeout\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"password\":false,\"name\":\"request_timeout\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"float\",\"list\":false},\"streaming\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"value\":false,\"password\":false,\"name\":\"streaming\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"bool\",\"list\":false},\"tags\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"password\":false,\"name\":\"tags\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"str\",\"list\":true},\"temperature\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"value\":0.7,\"password\":false,\"name\":\"temperature\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"float\",\"list\":false},\"tiktoken_model_name\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"password\":false,\"name\":\"tiktoken_model_name\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"str\",\"list\":false},\"verbose\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"value\":false,\"password\":false,\"name\":\"verbose\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"bool\",\"list\":false},\"_type\":\"ChatOpenAI\"},\"description\":\"`OpenAI` Chat large language models API.\",\"base_classes\":[\"ChatOpenAI\",\"BaseChatModel\",\"BaseLanguageModel\",\"BaseLLM\"],\"display_name\":\"ChatOpenAI\",\"custom_fields\":{},\"output_types\":[],\"documentation\":\"https://python.langchain.com/docs/modules/model_io/models/chat/integrations/openai\",\"beta\":false,\"error\":null},\"id\":\"ChatOpenAI-urapv\"},\"selected\":false,\"positionAbsolute\":{\"x\":189.94856095084924,\"y\":-85.06556385338186},\"dragging\":false},{\"width\":384,\"height\":806,\"id\":\"CustomComponent-IEIUl\",\"type\":\"genericNode\",\"position\":{\"x\":2364.865919667005,\"y\":88.43094097025096},\"data\":{\"type\":\"CustomComponent\",\"node\":{\"template\":{\"code\":{\"dynamic\":true,\"required\":true,\"placeholder\":\"\",\"show\":true,\"multiline\":true,\"value\":\"from langflow import CustomComponent\\nfrom langflow.field_typing import Data\\nfrom platformdirs import user_cache_dir\\nimport base64\\nfrom PIL import Image\\nfrom io import BytesIO\\nfrom openai import OpenAI\\nfrom pathlib import Path\\n\\nclass Component(CustomComponent):\\n display_name: str = \\\"Image generator\\\"\\n description: str = \\\"generate images using Dall-E\\\"\\n documentation: str = \\\"http://docs.langflow.org/components/custom\\\"\\n\\n def build_config(self):\\n return {\\\"prompt\\\": {\\\"display_name\\\": \\\"Prompt\\\",\\\"input_types\\\":[\\\"str\\\"]},\\n \\\"api_key\\\":{\\\"display_name\\\":\\\"OpenAI API key\\\",\\\"password\\\":True},\\n \\\"model\\\":{\\\"display_name\\\":\\\"Model name\\\",\\\"advanced\\\":True,\\\"options\\\":[\\\"dall-e-2\\\",\\\"dall-e-3\\\"], \\\"value\\\":\\\"dall-e-3\\\"},\\n \\\"file_name\\\":{\\\"display_name\\\":\\\"File Name\\\"},\\n \\\"output_format\\\":{\\\"display_name\\\":\\\"Output format\\\",\\\"options\\\":[\\\"jpeg\\\",\\\"png\\\"],\\\"value\\\":\\\"jpeg\\\"},\\n \\\"width\\\":{\\\"display_name\\\":\\\"Width\\\" ,\\\"value\\\":1024},\\n \\\"height\\\":{\\\"display_name\\\":\\\"Height\\\", \\\"value\\\":1024}\\n }\\n\\n def build(self, prompt:str,api_key:str,model:str,file_name:str,output_format:str,width:int,height:int):\\n client = OpenAI(api_key=api_key)\\n cache_dir = Path(user_cache_dir(\\\"langflow\\\"))\\n images_dir = cache_dir / \\\"images\\\"\\n images_dir.mkdir(parents=True, exist_ok=True)\\n image_path = images_dir / f\\\"{file_name}.{output_format}\\\"\\n response = client.images.generate(\\n model=model,\\n prompt=prompt,\\n size=f\\\"{height}x{width}\\\",\\n response_format=\\\"b64_json\\\",\\n n=1,\\n )\\n # Decode base64-encoded image string\\n binary_data = base64.b64decode(response.data[0].b64_json)\\n # Create PIL Image object from binary image data\\n image_pil = Image.open(BytesIO(binary_data))\\n image_pil.save(image_path, format=output_format.upper())\\n return \\\"\\\"\",\"password\":false,\"name\":\"code\",\"advanced\":false,\"type\":\"code\",\"list\":false},\"_type\":\"CustomComponent\",\"api_key\":{\"required\":true,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"password\":true,\"name\":\"api_key\",\"display_name\":\"OpenAI API key\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"str\",\"list\":false,\"value\":\"\"},\"file_name\":{\"required\":true,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"password\":false,\"name\":\"file_name\",\"display_name\":\"File Name\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"str\",\"list\":false,\"value\":\"album\"},\"height\":{\"required\":true,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"value\":1024,\"password\":false,\"name\":\"height\",\"display_name\":\"Height\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"int\",\"list\":false},\"model\":{\"required\":true,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"value\":\"dall-e-3\",\"password\":false,\"options\":[\"dall-e-2\",\"dall-e-3\"],\"name\":\"model\",\"display_name\":\"Model name\",\"advanced\":true,\"dynamic\":false,\"info\":\"\",\"type\":\"str\",\"list\":true},\"output_format\":{\"required\":true,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"value\":\"jpeg\",\"password\":false,\"options\":[\"jpeg\",\"png\"],\"name\":\"output_format\",\"display_name\":\"Output format\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"str\",\"list\":true},\"prompt\":{\"required\":true,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"password\":false,\"name\":\"prompt\",\"display_name\":\"Prompt\",\"advanced\":false,\"input_types\":[\"str\"],\"dynamic\":false,\"info\":\"\",\"type\":\"str\",\"list\":false,\"value\":\"\"},\"width\":{\"required\":true,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"value\":1024,\"password\":false,\"name\":\"width\",\"display_name\":\"Width\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"int\",\"list\":false}},\"description\":\"generate images using Dall-E\",\"base_classes\":[\"Data\"],\"display_name\":\"Image generator\",\"custom_fields\":{\"api_key\":null,\"file_name\":null,\"height\":null,\"model\":null,\"output_format\":null,\"prompt\":null,\"width\":null},\"output_types\":[\"Data\"],\"documentation\":\"http://docs.langflow.org/components/custom\",\"beta\":true,\"error\":null},\"id\":\"CustomComponent-IEIUl\"},\"selected\":false,\"positionAbsolute\":{\"x\":2364.865919667005,\"y\":88.43094097025096}},{\"width\":384,\"height\":338,\"id\":\"LLMChain-KlJb3\",\"type\":\"genericNode\",\"position\":{\"x\":1242.9851164540805,\"y\":-139.74634696823108},\"data\":{\"type\":\"LLMChain\",\"node\":{\"template\":{\"code\":{\"dynamic\":true,\"required\":true,\"placeholder\":\"\",\"show\":false,\"multiline\":true,\"value\":\"from typing import Callable, Optional, Union\\n\\nfrom langchain.chains import LLMChain\\n\\nfrom langflow import CustomComponent\\nfrom langflow.field_typing import (\\n BaseLanguageModel,\\n BaseMemory,\\n BasePromptTemplate,\\n Chain,\\n)\\n\\n\\nclass LLMChainComponent(CustomComponent):\\n display_name = \\\"LLMChain\\\"\\n description = \\\"Chain to run queries against LLMs\\\"\\n\\n def build_config(self):\\n return {\\n \\\"prompt\\\": {\\\"display_name\\\": \\\"Prompt\\\"},\\n \\\"llm\\\": {\\\"display_name\\\": \\\"LLM\\\"},\\n \\\"memory\\\": {\\\"display_name\\\": \\\"Memory\\\"},\\n \\\"code\\\": {\\\"show\\\": False},\\n }\\n\\n def build(\\n self,\\n prompt: BasePromptTemplate,\\n llm: BaseLanguageModel,\\n memory: Optional[BaseMemory] = None,\\n ) -> Union[Chain, Callable]:\\n return LLMChain(prompt=prompt, llm=llm, memory=memory)\\n\",\"password\":false,\"name\":\"code\",\"advanced\":false,\"type\":\"code\",\"list\":false,\"display_name\":\"code\"},\"_type\":\"CustomComponent\",\"llm\":{\"required\":true,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"password\":false,\"name\":\"llm\",\"display_name\":\"LLM\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"BaseLanguageModel\",\"list\":false},\"memory\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"password\":false,\"name\":\"memory\",\"display_name\":\"Memory\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"BaseMemory\",\"list\":false},\"prompt\":{\"required\":true,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"password\":false,\"name\":\"prompt\",\"display_name\":\"Prompt\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"BasePromptTemplate\",\"list\":false}},\"description\":\"Chain to run queries against LLMs\",\"base_classes\":[\"Chain\",\"Callable\"],\"display_name\":\"LLMChain\",\"custom_fields\":{\"llm\":null,\"memory\":null,\"prompt\":null},\"output_types\":[\"LLMChain\"],\"documentation\":\"\",\"beta\":true,\"error\":null},\"id\":\"LLMChain-KlJb3\"},\"selected\":false,\"positionAbsolute\":{\"x\":1242.9851164540805,\"y\":-139.74634696823108},\"dragging\":false},{\"width\":384,\"height\":328,\"id\":\"CustomComponent-bCuc0\",\"type\":\"genericNode\",\"position\":{\"x\":1747.8107777342625,\"y\":319.13729017446667},\"data\":{\"type\":\"CustomComponent\",\"node\":{\"template\":{\"code\":{\"dynamic\":true,\"required\":true,\"placeholder\":\"\",\"show\":true,\"multiline\":true,\"value\":\"from langflow import CustomComponent\\nfrom langflow.field_typing import Data\\n\\n\\nclass Component(CustomComponent):\\n display_name: str = \\\"Custom Component\\\"\\n description: str = \\\"Create any custom component you want!\\\"\\n documentation: str = \\\"http://docs.langflow.org/components/custom\\\"\\n\\n def build_config(self):\\n return {\\\"param\\\": {\\\"display_name\\\": \\\"Parameter\\\"}}\\n\\n def build(self, param: Chain) -> str:\\n result = param.run({})\\n self.status = result\\n return result\\n\",\"password\":false,\"name\":\"code\",\"advanced\":false,\"type\":\"code\",\"list\":false},\"_type\":\"CustomComponent\",\"param\":{\"required\":true,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"password\":false,\"name\":\"param\",\"display_name\":\"Parameter\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"Chain\",\"list\":false}},\"description\":\"Create any custom component you want!\",\"base_classes\":[\"str\"],\"display_name\":\"Custom Component\",\"custom_fields\":{\"param\":null},\"output_types\":[\"str\"],\"documentation\":\"http://docs.langflow.org/components/custom\",\"beta\":true,\"error\":null},\"id\":\"CustomComponent-bCuc0\"},\"selected\":false,\"positionAbsolute\":{\"x\":1747.8107777342625,\"y\":319.13729017446667}}],\"edges\":[{\"source\":\"LLMChain-KlJb3\",\"target\":\"CustomComponent-bCuc0\",\"sourceHandle\":\"{œbaseClassesœ:[œChainœ,œCallableœ],œdataTypeœ:œLLMChainœ,œidœ:œLLMChain-KlJb3œ}\",\"targetHandle\":\"{œfieldNameœ:œparamœ,œidœ:œCustomComponent-bCuc0œ,œinputTypesœ:null,œtypeœ:œChainœ}\",\"id\":\"reactflow__edge-LLMChain-KlJb3{œbaseClassesœ:[œChainœ,œCallableœ],œdataTypeœ:œLLMChainœ,œidœ:œLLMChain-KlJb3œ}-CustomComponent-bCuc0{œfieldNameœ:œparamœ,œidœ:œCustomComponent-bCuc0œ,œinputTypesœ:null,œtypeœ:œChainœ}\",\"data\":{\"targetHandle\":{\"fieldName\":\"param\",\"id\":\"CustomComponent-bCuc0\",\"inputTypes\":null,\"type\":\"Chain\"},\"sourceHandle\":{\"baseClasses\":[\"Chain\",\"Callable\"],\"dataType\":\"LLMChain\",\"id\":\"LLMChain-KlJb3\"}},\"style\":{\"stroke\":\"#555\"},\"className\":\"stroke-gray-900 stroke-connection\",\"animated\":false,\"selected\":false},{\"source\":\"ChatOpenAI-urapv\",\"target\":\"LLMChain-KlJb3\",\"sourceHandle\":\"{œbaseClassesœ:[œChatOpenAIœ,œBaseChatModelœ,œBaseLanguageModelœ,œBaseLLMœ],œdataTypeœ:œChatOpenAIœ,œidœ:œChatOpenAI-urapvœ}\",\"targetHandle\":\"{œfieldNameœ:œllmœ,œidœ:œLLMChain-KlJb3œ,œinputTypesœ:null,œtypeœ:œBaseLanguageModelœ}\",\"id\":\"reactflow__edge-ChatOpenAI-urapv{œbaseClassesœ:[œChatOpenAIœ,œBaseChatModelœ,œBaseLanguageModelœ,œBaseLLMœ],œdataTypeœ:œChatOpenAIœ,œidœ:œChatOpenAI-urapvœ}-LLMChain-KlJb3{œfieldNameœ:œllmœ,œidœ:œLLMChain-KlJb3œ,œinputTypesœ:null,œtypeœ:œBaseLanguageModelœ}\",\"data\":{\"targetHandle\":{\"fieldName\":\"llm\",\"id\":\"LLMChain-KlJb3\",\"inputTypes\":null,\"type\":\"BaseLanguageModel\"},\"sourceHandle\":{\"baseClasses\":[\"ChatOpenAI\",\"BaseChatModel\",\"BaseLanguageModel\",\"BaseLLM\"],\"dataType\":\"ChatOpenAI\",\"id\":\"ChatOpenAI-urapv\"}},\"style\":{\"stroke\":\"#555\"},\"className\":\"stroke-gray-900 stroke-connection\",\"animated\":false,\"selected\":false},{\"source\":\"PromptTemplate-m2yFu\",\"target\":\"LLMChain-KlJb3\",\"sourceHandle\":\"{œbaseClassesœ:[œPromptTemplateœ,œStringPromptTemplateœ,œBasePromptTemplateœ],œdataTypeœ:œPromptTemplateœ,œidœ:œPromptTemplate-m2yFuœ}\",\"targetHandle\":\"{œfieldNameœ:œpromptœ,œidœ:œLLMChain-KlJb3œ,œinputTypesœ:null,œtypeœ:œBasePromptTemplateœ}\",\"id\":\"reactflow__edge-PromptTemplate-m2yFu{œbaseClassesœ:[œPromptTemplateœ,œStringPromptTemplateœ,œBasePromptTemplateœ],œdataTypeœ:œPromptTemplateœ,œidœ:œPromptTemplate-m2yFuœ}-LLMChain-KlJb3{œfieldNameœ:œpromptœ,œidœ:œLLMChain-KlJb3œ,œinputTypesœ:null,œtypeœ:œBasePromptTemplateœ}\",\"data\":{\"targetHandle\":{\"fieldName\":\"prompt\",\"id\":\"LLMChain-KlJb3\",\"inputTypes\":null,\"type\":\"BasePromptTemplate\"},\"sourceHandle\":{\"baseClasses\":[\"PromptTemplate\",\"StringPromptTemplate\",\"BasePromptTemplate\"],\"dataType\":\"PromptTemplate\",\"id\":\"PromptTemplate-m2yFu\"}},\"style\":{\"stroke\":\"#555\"},\"className\":\"stroke-gray-900 stroke-connection\",\"animated\":false,\"selected\":false},{\"source\":\"CustomComponent-bCuc0\",\"target\":\"CustomComponent-IEIUl\",\"sourceHandle\":\"{œbaseClassesœ:[œstrœ],œdataTypeœ:œCustomComponentœ,œidœ:œCustomComponent-bCuc0œ}\",\"targetHandle\":\"{œfieldNameœ:œpromptœ,œidœ:œCustomComponent-IEIUlœ,œinputTypesœ:[œstrœ],œtypeœ:œstrœ}\",\"id\":\"reactflow__edge-CustomComponent-bCuc0{œbaseClassesœ:[œstrœ],œdataTypeœ:œCustomComponentœ,œidœ:œCustomComponent-bCuc0œ}-CustomComponent-IEIUl{œfieldNameœ:œpromptœ,œidœ:œCustomComponent-IEIUlœ,œinputTypesœ:[œstrœ],œtypeœ:œstrœ}\",\"data\":{\"targetHandle\":{\"fieldName\":\"prompt\",\"id\":\"CustomComponent-IEIUl\",\"inputTypes\":[\"str\"],\"type\":\"str\"},\"sourceHandle\":{\"baseClasses\":[\"str\"],\"dataType\":\"CustomComponent\",\"id\":\"CustomComponent-bCuc0\"}},\"style\":{\"stroke\":\"#555\"},\"className\":\"stroke-gray-900 stroke-connection\",\"animated\":false,\"selected\":false}],\"viewport\":{\"x\":92.23454077990459,\"y\":183.8125619056221,\"zoom\":0.6070974421975234}},\"is_component\":false,\"updated_at\":\"2023-12-08T21:33:18.503954\",\"folder\":null,\"id\":\"fe142ce5-32dc-4955-b186-672ced662f13\",\"user_id\":\"d253bfba-6368-44dc-85f7-0d6da9e45968\"},{\"name\":\"Goofy Darwin\",\"description\":\"Conversation Catalyst Engine.\",\"data\":{\"nodes\":[{\"width\":384,\"height\":626,\"id\":\"OpenAI-3ZVDh\",\"type\":\"genericNode\",\"position\":{\"x\":-4.0041891741949485,\"y\":-114.02615182719649},\"data\":{\"type\":\"OpenAI\",\"node\":{\"template\":{\"callbacks\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"password\":false,\"name\":\"callbacks\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"langchain_core.callbacks.base.BaseCallbackHandler\",\"list\":true},\"allowed_special\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"value\":[],\"password\":false,\"name\":\"allowed_special\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"str\",\"list\":true},\"async_client\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"password\":false,\"name\":\"async_client\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"Any\",\"list\":false},\"batch_size\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"value\":20,\"password\":false,\"name\":\"batch_size\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"int\",\"list\":false},\"best_of\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"value\":1,\"password\":false,\"name\":\"best_of\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"int\",\"list\":false},\"cache\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"password\":false,\"name\":\"cache\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"bool\",\"list\":false},\"client\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"password\":false,\"name\":\"client\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"Any\",\"list\":false},\"default_headers\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"password\":false,\"name\":\"default_headers\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"dict\",\"list\":false},\"default_query\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"password\":false,\"name\":\"default_query\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"dict\",\"list\":false},\"disallowed_special\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"value\":\"all\",\"password\":false,\"name\":\"disallowed_special\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"str\",\"list\":false},\"frequency_penalty\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"value\":0,\"password\":false,\"name\":\"frequency_penalty\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"float\",\"list\":false},\"http_client\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"password\":false,\"name\":\"http_client\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"Any\",\"list\":false},\"logit_bias\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"password\":false,\"name\":\"logit_bias\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"dict\",\"list\":false},\"max_retries\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"value\":2,\"password\":false,\"name\":\"max_retries\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"int\",\"list\":false},\"max_tokens\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"value\":256,\"password\":true,\"name\":\"max_tokens\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"int\",\"list\":false},\"metadata\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"password\":false,\"name\":\"metadata\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"dict\",\"list\":false},\"model_kwargs\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"password\":false,\"name\":\"model_kwargs\",\"advanced\":true,\"dynamic\":false,\"info\":\"\",\"type\":\"dict\",\"list\":false},\"model_name\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"value\":\"text-davinci-003\",\"password\":false,\"options\":[\"text-davinci-003\",\"text-davinci-002\",\"text-curie-001\",\"text-babbage-001\",\"text-ada-001\"],\"name\":\"model_name\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"str\",\"list\":true},\"n\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"value\":1,\"password\":false,\"name\":\"n\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"int\",\"list\":false},\"openai_api_base\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"password\":false,\"name\":\"openai_api_base\",\"display_name\":\"OpenAI API Base\",\"advanced\":false,\"dynamic\":false,\"info\":\"\\nThe base URL of the OpenAI API. Defaults to https://api.openai.com/v1.\\n\\nYou can change this to use other APIs like JinaChat, LocalAI and Prem.\\n\",\"type\":\"str\",\"list\":false},\"openai_api_key\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"value\":\"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\",\"password\":true,\"name\":\"openai_api_key\",\"display_name\":\"OpenAI API Key\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"str\",\"list\":false},\"openai_organization\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"password\":false,\"name\":\"openai_organization\",\"display_name\":\"OpenAI Organization\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"str\",\"list\":false},\"openai_proxy\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"password\":false,\"name\":\"openai_proxy\",\"display_name\":\"OpenAI Proxy\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"str\",\"list\":false},\"presence_penalty\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"value\":0,\"password\":false,\"name\":\"presence_penalty\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"float\",\"list\":false},\"request_timeout\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"password\":false,\"name\":\"request_timeout\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"float\",\"list\":false},\"streaming\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"value\":false,\"password\":false,\"name\":\"streaming\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"bool\",\"list\":false},\"tags\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"password\":false,\"name\":\"tags\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"str\",\"list\":true},\"temperature\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"value\":0.7,\"password\":false,\"name\":\"temperature\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"float\",\"list\":false},\"tiktoken_model_name\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"password\":false,\"name\":\"tiktoken_model_name\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"str\",\"list\":false},\"top_p\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"value\":1,\"password\":false,\"name\":\"top_p\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"float\",\"list\":false},\"verbose\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"password\":false,\"name\":\"verbose\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"bool\",\"list\":false},\"_type\":\"OpenAI\"},\"description\":\"OpenAI large language models.\",\"base_classes\":[\"OpenAI\",\"BaseLLM\",\"BaseOpenAI\",\"BaseLanguageModel\"],\"display_name\":\"OpenAI\",\"custom_fields\":{},\"output_types\":[],\"documentation\":\"https://python.langchain.com/docs/modules/model_io/models/llms/integrations/openai\",\"beta\":false,\"error\":null},\"id\":\"OpenAI-3ZVDh\"},\"selected\":true,\"positionAbsolute\":{\"x\":-4.0041891741949485,\"y\":-114.02615182719649},\"dragging\":false},{\"width\":384,\"height\":338,\"id\":\"LLMChain-RFYXY\",\"type\":\"genericNode\",\"position\":{\"x\":586.672100458868,\"y\":10.967049167706678},\"data\":{\"type\":\"LLMChain\",\"node\":{\"template\":{\"code\":{\"dynamic\":true,\"required\":true,\"placeholder\":\"\",\"show\":false,\"multiline\":true,\"value\":\"from typing import Callable, Optional, Union\\n\\nfrom langchain.chains import LLMChain\\n\\nfrom langflow import CustomComponent\\nfrom langflow.field_typing import (\\n BaseLanguageModel,\\n BaseMemory,\\n BasePromptTemplate,\\n Chain,\\n)\\n\\n\\nclass LLMChainComponent(CustomComponent):\\n display_name = \\\"LLMChain\\\"\\n description = \\\"Chain to run queries against LLMs\\\"\\n\\n def build_config(self):\\n return {\\n \\\"prompt\\\": {\\\"display_name\\\": \\\"Prompt\\\"},\\n \\\"llm\\\": {\\\"display_name\\\": \\\"LLM\\\"},\\n \\\"memory\\\": {\\\"display_name\\\": \\\"Memory\\\"},\\n \\\"code\\\": {\\\"show\\\": False},\\n }\\n\\n def build(\\n self,\\n prompt: BasePromptTemplate,\\n llm: BaseLanguageModel,\\n memory: Optional[BaseMemory] = None,\\n ) -> Union[Chain, Callable]:\\n return LLMChain(prompt=prompt, llm=llm, memory=memory)\\n\",\"password\":false,\"name\":\"code\",\"advanced\":false,\"type\":\"code\",\"list\":false},\"_type\":\"CustomComponent\",\"llm\":{\"required\":true,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"password\":false,\"name\":\"llm\",\"display_name\":\"LLM\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"BaseLanguageModel\",\"list\":false},\"memory\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"password\":false,\"name\":\"memory\",\"display_name\":\"Memory\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"BaseMemory\",\"list\":false},\"prompt\":{\"required\":true,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"password\":false,\"name\":\"prompt\",\"display_name\":\"Prompt\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"BasePromptTemplate\",\"list\":false}},\"description\":\"Chain to run queries against LLMs\",\"base_classes\":[\"Chain\",\"Callable\"],\"display_name\":\"LLMChain\",\"custom_fields\":{\"llm\":null,\"memory\":null,\"prompt\":null},\"output_types\":[\"LLMChain\"],\"documentation\":\"\",\"beta\":true,\"error\":null},\"id\":\"LLMChain-RFYXY\"},\"positionAbsolute\":{\"x\":586.672100458868,\"y\":10.967049167706678}},{\"width\":384,\"height\":242,\"id\":\"ChatPromptTemplate-ce1sg\",\"type\":\"genericNode\",\"position\":{\"x\":395.598984452791,\"y\":612.188491773035},\"data\":{\"type\":\"ChatPromptTemplate\",\"node\":{\"template\":{\"messages\":{\"required\":true,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"password\":false,\"name\":\"messages\",\"advanced\":false,\"dynamic\":true,\"info\":\"\",\"type\":\"BaseMessagePromptTemplate\",\"list\":true},\"output_parser\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"password\":false,\"name\":\"output_parser\",\"advanced\":false,\"dynamic\":true,\"info\":\"\",\"type\":\"BaseOutputParser\",\"list\":false},\"input_types\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"password\":false,\"name\":\"input_types\",\"advanced\":false,\"dynamic\":true,\"info\":\"\",\"type\":\"dict\",\"list\":false},\"input_variables\":{\"required\":true,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"password\":false,\"name\":\"input_variables\",\"advanced\":false,\"dynamic\":true,\"info\":\"\",\"type\":\"str\",\"list\":true},\"partial_variables\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"password\":false,\"name\":\"partial_variables\",\"advanced\":false,\"dynamic\":true,\"info\":\"\",\"type\":\"dict\",\"list\":false},\"validate_template\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"value\":false,\"password\":false,\"name\":\"validate_template\",\"advanced\":false,\"dynamic\":true,\"info\":\"\",\"type\":\"bool\",\"list\":false},\"_type\":\"ChatPromptTemplate\"},\"description\":\"A prompt template for chat models.\",\"base_classes\":[\"ChatPromptTemplate\",\"BaseChatPromptTemplate\",\"BasePromptTemplate\"],\"display_name\":\"ChatPromptTemplate\",\"custom_fields\":{},\"output_types\":[],\"documentation\":\"https://python.langchain.com/docs/modules/model_io/models/chat/how_to/prompts\",\"beta\":false,\"error\":null},\"id\":\"ChatPromptTemplate-ce1sg\"},\"selected\":false,\"positionAbsolute\":{\"x\":395.598984452791,\"y\":612.188491773035},\"dragging\":false}],\"edges\":[{\"source\":\"OpenAI-3ZVDh\",\"sourceHandle\":\"{œbaseClassesœ:[œOpenAIœ,œBaseLLMœ,œBaseOpenAIœ,œBaseLanguageModelœ],œdataTypeœ:œOpenAIœ,œidœ:œOpenAI-3ZVDhœ}\",\"target\":\"LLMChain-RFYXY\",\"targetHandle\":\"{œfieldNameœ:œllmœ,œidœ:œLLMChain-RFYXYœ,œinputTypesœ:null,œtypeœ:œBaseLanguageModelœ}\",\"data\":{\"targetHandle\":{\"fieldName\":\"llm\",\"id\":\"LLMChain-RFYXY\",\"inputTypes\":null,\"type\":\"BaseLanguageModel\"},\"sourceHandle\":{\"baseClasses\":[\"OpenAI\",\"BaseLLM\",\"BaseOpenAI\",\"BaseLanguageModel\"],\"dataType\":\"OpenAI\",\"id\":\"OpenAI-3ZVDh\"}},\"style\":{\"stroke\":\"#555\"},\"className\":\"stroke-foreground stroke-connection\",\"animated\":false,\"id\":\"reactflow__edge-OpenAI-3ZVDh{œbaseClassesœ:[œOpenAIœ,œBaseLLMœ,œBaseOpenAIœ,œBaseLanguageModelœ],œdataTypeœ:œOpenAIœ,œidœ:œOpenAI-3ZVDhœ}-LLMChain-RFYXY{œfieldNameœ:œllmœ,œidœ:œLLMChain-RFYXYœ,œinputTypesœ:null,œtypeœ:œBaseLanguageModelœ}\"},{\"source\":\"ChatPromptTemplate-ce1sg\",\"sourceHandle\":\"{œbaseClassesœ:[œChatPromptTemplateœ,œBaseChatPromptTemplateœ,œBasePromptTemplateœ],œdataTypeœ:œChatPromptTemplateœ,œidœ:œChatPromptTemplate-ce1sgœ}\",\"target\":\"LLMChain-RFYXY\",\"targetHandle\":\"{œfieldNameœ:œpromptœ,œidœ:œLLMChain-RFYXYœ,œinputTypesœ:null,œtypeœ:œBasePromptTemplateœ}\",\"data\":{\"targetHandle\":{\"fieldName\":\"prompt\",\"id\":\"LLMChain-RFYXY\",\"inputTypes\":null,\"type\":\"BasePromptTemplate\"},\"sourceHandle\":{\"baseClasses\":[\"ChatPromptTemplate\",\"BaseChatPromptTemplate\",\"BasePromptTemplate\"],\"dataType\":\"ChatPromptTemplate\",\"id\":\"ChatPromptTemplate-ce1sg\"}},\"style\":{\"stroke\":\"#555\"},\"className\":\"stroke-foreground stroke-connection\",\"animated\":false,\"id\":\"reactflow__edge-ChatPromptTemplate-ce1sg{œbaseClassesœ:[œChatPromptTemplateœ,œBaseChatPromptTemplateœ,œBasePromptTemplateœ],œdataTypeœ:œChatPromptTemplateœ,œidœ:œChatPromptTemplate-ce1sgœ}-LLMChain-RFYXY{œfieldNameœ:œpromptœ,œidœ:œLLMChain-RFYXYœ,œinputTypesœ:null,œtypeœ:œBasePromptTemplateœ}\"}],\"viewport\":{\"x\":8.832868402772647,\"y\":189.85443326477025,\"zoom\":0.6070974421975235}},\"is_component\":false,\"updated_at\":\"2023-12-04T22:50:19.584160\",\"folder\":null,\"id\":\"103766f0-1f50-427a-9ba7-2ab73343c524\",\"user_id\":\"d253bfba-6368-44dc-85f7-0d6da9e45968\"},{\"name\":\"Perky Easley\",\"description\":\"Your Toolkit for Text Generation.\",\"data\":{\"nodes\":[{\"width\":384,\"height\":626,\"id\":\"ChatOpenAI-VPh47\",\"type\":\"genericNode\",\"position\":{\"x\":-328.5742193020408,\"y\":-420.1025929438987},\"data\":{\"type\":\"ChatOpenAI\",\"node\":{\"template\":{\"callbacks\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"password\":false,\"name\":\"callbacks\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"langchain_core.callbacks.base.BaseCallbackHandler\",\"list\":true},\"async_client\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"password\":false,\"name\":\"async_client\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"Any\",\"list\":false},\"cache\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"password\":false,\"name\":\"cache\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"bool\",\"list\":false},\"client\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"password\":false,\"name\":\"client\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"Any\",\"list\":false},\"default_headers\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"password\":false,\"name\":\"default_headers\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"dict\",\"list\":false},\"default_query\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"password\":false,\"name\":\"default_query\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"dict\",\"list\":false},\"http_client\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"password\":false,\"name\":\"http_client\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"Any\",\"list\":false},\"max_retries\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"value\":2,\"password\":false,\"name\":\"max_retries\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"int\",\"list\":false},\"max_tokens\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"password\":true,\"name\":\"max_tokens\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"int\",\"list\":false},\"metadata\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"password\":false,\"name\":\"metadata\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"dict\",\"list\":false},\"model_kwargs\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"password\":false,\"name\":\"model_kwargs\",\"advanced\":true,\"dynamic\":false,\"info\":\"\",\"type\":\"dict\",\"list\":false},\"model_name\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"value\":\"gpt-3.5-turbo\",\"password\":false,\"options\":[\"gpt-4-1106-preview\",\"gpt-4\",\"gpt-4-32k\",\"gpt-3.5-turbo\",\"gpt-3.5-turbo-16k\"],\"name\":\"model_name\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"str\",\"list\":true},\"n\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"value\":1,\"password\":false,\"name\":\"n\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"int\",\"list\":false},\"openai_api_base\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"password\":false,\"name\":\"openai_api_base\",\"display_name\":\"OpenAI API Base\",\"advanced\":false,\"dynamic\":false,\"info\":\"\\nThe base URL of the OpenAI API. Defaults to https://api.openai.com/v1.\\n\\nYou can change this to use other APIs like JinaChat, LocalAI and Prem.\\n\",\"type\":\"str\",\"list\":false},\"openai_api_key\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"value\":\"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\",\"password\":true,\"name\":\"openai_api_key\",\"display_name\":\"OpenAI API Key\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"str\",\"list\":false},\"openai_organization\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"password\":false,\"name\":\"openai_organization\",\"display_name\":\"OpenAI Organization\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"str\",\"list\":false},\"openai_proxy\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"password\":false,\"name\":\"openai_proxy\",\"display_name\":\"OpenAI Proxy\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"str\",\"list\":false},\"request_timeout\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"password\":false,\"name\":\"request_timeout\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"float\",\"list\":false},\"streaming\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"value\":false,\"password\":false,\"name\":\"streaming\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"bool\",\"list\":false},\"tags\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"password\":false,\"name\":\"tags\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"str\",\"list\":true},\"temperature\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"value\":0.7,\"password\":false,\"name\":\"temperature\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"float\",\"list\":false},\"tiktoken_model_name\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"password\":false,\"name\":\"tiktoken_model_name\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"str\",\"list\":false},\"verbose\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"value\":false,\"password\":false,\"name\":\"verbose\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"bool\",\"list\":false},\"_type\":\"ChatOpenAI\"},\"description\":\"`OpenAI` Chat large language models API.\",\"base_classes\":[\"BaseChatModel\",\"ChatOpenAI\",\"BaseLanguageModel\",\"BaseLLM\"],\"display_name\":\"ChatOpenAI\",\"custom_fields\":{},\"output_types\":[],\"documentation\":\"https://python.langchain.com/docs/modules/model_io/models/chat/integrations/openai\",\"beta\":false,\"error\":null},\"id\":\"ChatOpenAI-VPh47\"},\"selected\":false,\"positionAbsolute\":{\"x\":-328.5742193020408,\"y\":-420.1025929438987},\"dragging\":false},{\"width\":384,\"height\":338,\"id\":\"LLMChain-NgFyo\",\"type\":\"genericNode\",\"position\":{\"x\":225.3113389084088,\"y\":-193.3520019494289},\"data\":{\"type\":\"LLMChain\",\"node\":{\"template\":{\"code\":{\"dynamic\":true,\"required\":true,\"placeholder\":\"\",\"show\":false,\"multiline\":true,\"value\":\"from typing import Callable, Optional, Union\\n\\nfrom langchain.chains import LLMChain\\n\\nfrom langflow import CustomComponent\\nfrom langflow.field_typing import (\\n BaseLanguageModel,\\n BaseMemory,\\n BasePromptTemplate,\\n Chain,\\n)\\n\\n\\nclass LLMChainComponent(CustomComponent):\\n display_name = \\\"LLMChain\\\"\\n description = \\\"Chain to run queries against LLMs\\\"\\n\\n def build_config(self):\\n return {\\n \\\"prompt\\\": {\\\"display_name\\\": \\\"Prompt\\\"},\\n \\\"llm\\\": {\\\"display_name\\\": \\\"LLM\\\"},\\n \\\"memory\\\": {\\\"display_name\\\": \\\"Memory\\\"},\\n \\\"code\\\": {\\\"show\\\": False},\\n }\\n\\n def build(\\n self,\\n prompt: BasePromptTemplate,\\n llm: BaseLanguageModel,\\n memory: Optional[BaseMemory] = None,\\n ) -> Union[Chain, Callable]:\\n return LLMChain(prompt=prompt, llm=llm, memory=memory)\\n\",\"password\":false,\"name\":\"code\",\"advanced\":false,\"type\":\"code\",\"list\":false},\"_type\":\"CustomComponent\",\"llm\":{\"required\":true,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"password\":false,\"name\":\"llm\",\"display_name\":\"LLM\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"BaseLanguageModel\",\"list\":false},\"memory\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"password\":false,\"name\":\"memory\",\"display_name\":\"Memory\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"BaseMemory\",\"list\":false},\"prompt\":{\"required\":true,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"password\":false,\"name\":\"prompt\",\"display_name\":\"Prompt\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"BasePromptTemplate\",\"list\":false}},\"description\":\"Chain to run queries against LLMs\",\"base_classes\":[\"Chain\",\"Callable\"],\"display_name\":\"LLMChain\",\"custom_fields\":{\"llm\":null,\"memory\":null,\"prompt\":null},\"output_types\":[\"LLMChain\"],\"documentation\":\"\",\"beta\":true,\"error\":null},\"id\":\"LLMChain-NgFyo\"},\"selected\":false,\"positionAbsolute\":{\"x\":225.3113389084088,\"y\":-193.3520019494289},\"dragging\":false},{\"width\":384,\"height\":374,\"id\":\"PromptTemplate-oAFjh\",\"type\":\"genericNode\",\"position\":{\"x\":-342.62522294052764,\"y\":391.20629510686103},\"data\":{\"type\":\"PromptTemplate\",\"node\":{\"template\":{\"output_parser\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"password\":false,\"name\":\"output_parser\",\"advanced\":false,\"dynamic\":true,\"info\":\"\",\"type\":\"BaseOutputParser\",\"list\":false},\"input_types\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"password\":false,\"name\":\"input_types\",\"advanced\":false,\"dynamic\":true,\"info\":\"\",\"type\":\"dict\",\"list\":false},\"input_variables\":{\"required\":true,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"password\":false,\"name\":\"input_variables\",\"advanced\":false,\"dynamic\":true,\"info\":\"\",\"type\":\"str\",\"list\":true,\"value\":[\"links\"]},\"partial_variables\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"password\":false,\"name\":\"partial_variables\",\"advanced\":false,\"dynamic\":true,\"info\":\"\",\"type\":\"dict\",\"list\":false},\"template\":{\"required\":true,\"placeholder\":\"\",\"show\":true,\"multiline\":true,\"password\":false,\"name\":\"template\",\"advanced\":false,\"dynamic\":true,\"info\":\"\",\"type\":\"prompt\",\"list\":false,\"value\":\"Answer everything with links\\n{links}\"},\"template_format\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"value\":\"f-string\",\"password\":false,\"name\":\"template_format\",\"advanced\":false,\"dynamic\":true,\"info\":\"\",\"type\":\"str\",\"list\":false},\"validate_template\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"value\":false,\"password\":false,\"name\":\"validate_template\",\"advanced\":false,\"dynamic\":true,\"info\":\"\",\"type\":\"bool\",\"list\":false},\"_type\":\"PromptTemplate\",\"links\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":true,\"value\":\"\",\"password\":false,\"name\":\"links\",\"display_name\":\"links\",\"advanced\":false,\"input_types\":[\"Document\",\"BaseOutputParser\"],\"dynamic\":false,\"info\":\"\",\"type\":\"str\",\"list\":false}},\"description\":\"A prompt template for a language model.\",\"base_classes\":[\"BasePromptTemplate\",\"StringPromptTemplate\",\"PromptTemplate\"],\"name\":\"\",\"display_name\":\"PromptTemplate\",\"documentation\":\"https://python.langchain.com/docs/modules/model_io/prompts/prompt_templates/\",\"custom_fields\":{\"\":[\"links\"]},\"output_types\":[],\"full_path\":null,\"field_formatters\":{},\"beta\":false,\"error\":null},\"id\":\"PromptTemplate-oAFjh\"},\"selected\":true,\"dragging\":false,\"positionAbsolute\":{\"x\":-342.62522294052764,\"y\":391.20629510686103}}],\"edges\":[{\"source\":\"ChatOpenAI-VPh47\",\"sourceHandle\":\"{œbaseClassesœ:[œBaseChatModelœ,œChatOpenAIœ,œBaseLanguageModelœ,œBaseLLMœ],œdataTypeœ:œChatOpenAIœ,œidœ:œChatOpenAI-VPh47œ}\",\"target\":\"LLMChain-NgFyo\",\"targetHandle\":\"{œfieldNameœ:œllmœ,œidœ:œLLMChain-NgFyoœ,œinputTypesœ:null,œtypeœ:œBaseLanguageModelœ}\",\"data\":{\"targetHandle\":{\"fieldName\":\"llm\",\"id\":\"LLMChain-NgFyo\",\"inputTypes\":null,\"type\":\"BaseLanguageModel\"},\"sourceHandle\":{\"baseClasses\":[\"BaseChatModel\",\"ChatOpenAI\",\"BaseLanguageModel\",\"BaseLLM\"],\"dataType\":\"ChatOpenAI\",\"id\":\"ChatOpenAI-VPh47\"}},\"style\":{\"stroke\":\"#555\"},\"className\":\"stroke-foreground stroke-connection\",\"animated\":false,\"id\":\"reactflow__edge-ChatOpenAI-VPh47{œbaseClassesœ:[œBaseChatModelœ,œChatOpenAIœ,œBaseLanguageModelœ,œBaseLLMœ],œdataTypeœ:œChatOpenAIœ,œidœ:œChatOpenAI-VPh47œ}-LLMChain-NgFyo{œfieldNameœ:œllmœ,œidœ:œLLMChain-NgFyoœ,œinputTypesœ:null,œtypeœ:œBaseLanguageModelœ}\"},{\"source\":\"PromptTemplate-oAFjh\",\"sourceHandle\":\"{œbaseClassesœ:[œBasePromptTemplateœ,œStringPromptTemplateœ,œPromptTemplateœ],œdataTypeœ:œPromptTemplateœ,œidœ:œPromptTemplate-oAFjhœ}\",\"target\":\"LLMChain-NgFyo\",\"targetHandle\":\"{œfieldNameœ:œpromptœ,œidœ:œLLMChain-NgFyoœ,œinputTypesœ:null,œtypeœ:œBasePromptTemplateœ}\",\"data\":{\"targetHandle\":{\"fieldName\":\"prompt\",\"id\":\"LLMChain-NgFyo\",\"inputTypes\":null,\"type\":\"BasePromptTemplate\"},\"sourceHandle\":{\"baseClasses\":[\"BasePromptTemplate\",\"StringPromptTemplate\",\"PromptTemplate\"],\"dataType\":\"PromptTemplate\",\"id\":\"PromptTemplate-oAFjh\"}},\"style\":{\"stroke\":\"#555\"},\"className\":\"stroke-foreground stroke-connection\",\"animated\":false,\"id\":\"reactflow__edge-PromptTemplate-oAFjh{œbaseClassesœ:[œBasePromptTemplateœ,œStringPromptTemplateœ,œPromptTemplateœ],œdataTypeœ:œPromptTemplateœ,œidœ:œPromptTemplate-oAFjhœ}-LLMChain-NgFyo{œfieldNameœ:œpromptœ,œidœ:œLLMChain-NgFyoœ,œinputTypesœ:null,œtypeœ:œBasePromptTemplateœ}\"}],\"viewport\":{\"x\":338.6546182690814,\"y\":53.026340800283265,\"zoom\":0.7169776240079143}},\"is_component\":false,\"updated_at\":\"2023-12-04T22:53:25.148460\",\"folder\":null,\"id\":\"a794fc48-5e9b-42a3-924f-7fe610500035\",\"user_id\":\"d253bfba-6368-44dc-85f7-0d6da9e45968\"},{\"name\":\"(D) Basic Chat (1) (4)\",\"description\":\"Simplest possible chat model\",\"data\":{\"nodes\":[{\"width\":384,\"height\":626,\"id\":\"ChatOpenAI-fBcfh\",\"type\":\"genericNode\",\"position\":{\"x\":228.87326389541306,\"y\":465.8628482073749},\"data\":{\"type\":\"ChatOpenAI\",\"node\":{\"template\":{\"callbacks\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"password\":false,\"name\":\"callbacks\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"langchain.callbacks.base.BaseCallbackHandler\",\"list\":true},\"cache\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"password\":false,\"name\":\"cache\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"bool\",\"list\":false},\"client\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"password\":false,\"name\":\"client\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"Any\",\"list\":false},\"max_retries\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"value\":6,\"password\":false,\"name\":\"max_retries\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"int\",\"list\":false},\"max_tokens\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"password\":true,\"name\":\"max_tokens\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"int\",\"list\":false},\"metadata\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"password\":false,\"name\":\"metadata\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"dict\",\"list\":false},\"model_kwargs\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"password\":false,\"name\":\"model_kwargs\",\"advanced\":true,\"dynamic\":false,\"info\":\"\",\"type\":\"dict\",\"list\":false},\"model_name\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"value\":\"gpt-3.5-turbo\",\"password\":false,\"options\":[\"gpt-3.5-turbo-0613\",\"gpt-3.5-turbo\",\"gpt-3.5-turbo-16k-0613\",\"gpt-3.5-turbo-16k\",\"gpt-4-0613\",\"gpt-4-32k-0613\",\"gpt-4\",\"gpt-4-32k\"],\"name\":\"model_name\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"str\",\"list\":true},\"n\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"value\":1,\"password\":false,\"name\":\"n\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"int\",\"list\":false},\"openai_api_base\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"password\":false,\"name\":\"openai_api_base\",\"display_name\":\"OpenAI API Base\",\"advanced\":false,\"dynamic\":false,\"info\":\"\\nThe base URL of the OpenAI API. Defaults to https://api.openai.com/v1.\\n\\nYou can change this to use other APIs like JinaChat, LocalAI and Prem.\\n\",\"type\":\"str\",\"list\":false},\"openai_api_key\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"value\":\"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\",\"password\":true,\"name\":\"openai_api_key\",\"display_name\":\"OpenAI API Key\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"str\",\"list\":false},\"openai_organization\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"password\":false,\"name\":\"openai_organization\",\"display_name\":\"OpenAI Organization\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"str\",\"list\":false},\"openai_proxy\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"password\":false,\"name\":\"openai_proxy\",\"display_name\":\"OpenAI Proxy\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"str\",\"list\":false},\"request_timeout\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"password\":false,\"name\":\"request_timeout\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"float\",\"list\":false,\"value\":60},\"streaming\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"value\":false,\"password\":false,\"name\":\"streaming\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"bool\",\"list\":false},\"tags\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"password\":false,\"name\":\"tags\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"str\",\"list\":true},\"temperature\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"value\":0.7,\"password\":false,\"name\":\"temperature\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"float\",\"list\":false},\"tiktoken_model_name\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"password\":false,\"name\":\"tiktoken_model_name\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"str\",\"list\":false},\"verbose\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"value\":false,\"password\":false,\"name\":\"verbose\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"bool\",\"list\":false},\"_type\":\"ChatOpenAI\"},\"description\":\"`OpenAI` Chat large language models API.\",\"base_classes\":[\"BaseChatModel\",\"BaseLanguageModel\",\"ChatOpenAI\",\"BaseLLM\"],\"display_name\":\"ChatOpenAI\",\"documentation\":\"https://python.langchain.com/docs/modules/model_io/models/chat/integrations/openai\"},\"id\":\"ChatOpenAI-fBcfh\",\"value\":null},\"selected\":false,\"dragging\":false,\"positionAbsolute\":{\"x\":228.87326389541306,\"y\":465.8628482073749}},{\"width\":384,\"height\":310,\"id\":\"ConversationChain-bVNex\",\"type\":\"genericNode\",\"position\":{\"x\":806,\"y\":554},\"data\":{\"type\":\"ConversationChain\",\"node\":{\"template\":{\"callbacks\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"password\":false,\"name\":\"callbacks\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"langchain.callbacks.base.BaseCallbackHandler\",\"list\":true},\"llm\":{\"required\":true,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"password\":false,\"name\":\"llm\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"BaseLanguageModel\",\"list\":false},\"memory\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"password\":false,\"name\":\"memory\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"BaseMemory\",\"list\":false},\"output_parser\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"value\":{\"_type\":\"default\"},\"password\":false,\"name\":\"output_parser\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"BaseLLMOutputParser\",\"list\":false},\"prompt\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"value\":{\"input_variables\":[\"history\",\"input\"],\"output_parser\":null,\"partial_variables\":{},\"template\":\"The following is a friendly conversation between a human and an AI. The AI is talkative and provides lots of specific details from its context. If the AI does not know the answer to a question, it truthfully says it does not know.\\n\\nCurrent conversation:\\n{history}\\nHuman: {input}\\nAI:\",\"template_format\":\"f-string\",\"validate_template\":true,\"_type\":\"prompt\"},\"password\":false,\"name\":\"prompt\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"BasePromptTemplate\",\"list\":false},\"input_key\":{\"required\":true,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"value\":\"input\",\"password\":false,\"name\":\"input_key\",\"advanced\":true,\"dynamic\":false,\"info\":\"\",\"type\":\"str\",\"list\":false},\"llm_kwargs\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"password\":false,\"name\":\"llm_kwargs\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"dict\",\"list\":false},\"metadata\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"password\":false,\"name\":\"metadata\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"dict\",\"list\":false},\"output_key\":{\"required\":true,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"value\":\"response\",\"password\":false,\"name\":\"output_key\",\"advanced\":true,\"dynamic\":false,\"info\":\"\",\"type\":\"str\",\"list\":false},\"return_final_only\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"value\":true,\"password\":false,\"name\":\"return_final_only\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"bool\",\"list\":false},\"tags\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"password\":false,\"name\":\"tags\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"str\",\"list\":true},\"verbose\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"password\":false,\"name\":\"verbose\",\"advanced\":true,\"dynamic\":false,\"info\":\"\",\"type\":\"bool\",\"list\":false},\"_type\":\"ConversationChain\"},\"description\":\"Chain to have a conversation and load context from memory.\",\"base_classes\":[\"ConversationChain\",\"Chain\",\"LLMChain\",\"function\"],\"display_name\":\"ConversationChain\",\"documentation\":\"\"},\"id\":\"ConversationChain-bVNex\",\"value\":null},\"selected\":false,\"dragging\":false,\"positionAbsolute\":{\"x\":806,\"y\":554}}],\"edges\":[{\"source\":\"ChatOpenAI-fBcfh\",\"sourceHandle\":\"{œbaseClassesœ:[œBaseChatModelœ,œBaseLanguageModelœ,œChatOpenAIœ,œBaseLLMœ],œdataTypeœ:œChatOpenAIœ,œidœ:œChatOpenAI-fBcfhœ}\",\"target\":\"ConversationChain-bVNex\",\"targetHandle\":\"{œfieldNameœ:œllmœ,œidœ:œConversationChain-bVNexœ,œinputTypesœ:null,œtypeœ:œBaseLanguageModelœ}\",\"className\":\"stroke-gray-900 stroke-connection\",\"id\":\"reactflow__edge-ChatOpenAI-fBcfh{œbaseClassesœ:[œBaseChatModelœ,œBaseLanguageModelœ,œChatOpenAIœ,œBaseLLMœ],œdataTypeœ:œChatOpenAIœ,œidœ:œChatOpenAI-fBcfhœ}-ConversationChain-bVNex{œfieldNameœ:œllmœ,œidœ:œConversationChain-bVNexœ,œinputTypesœ:null,œtypeœ:œBaseLanguageModelœ}\",\"data\":{\"sourceHandle\":{\"baseClasses\":[\"BaseChatModel\",\"BaseLanguageModel\",\"ChatOpenAI\",\"BaseLLM\"],\"dataType\":\"ChatOpenAI\",\"id\":\"ChatOpenAI-fBcfh\"},\"targetHandle\":{\"fieldName\":\"llm\",\"id\":\"ConversationChain-bVNex\",\"inputTypes\":null,\"type\":\"BaseLanguageModel\"}},\"style\":{\"stroke\":\"#555\"},\"animated\":false}],\"viewport\":{\"x\":-118.21416568593895,\"y\":-240.64815770363373,\"zoom\":0.7642485855675408}},\"is_component\":false,\"updated_at\":\"2023-12-04T22:57:55.879806\",\"folder\":null,\"id\":\"bddebeea-b80a-4b28-8895-c4425687dcce\",\"user_id\":\"d253bfba-6368-44dc-85f7-0d6da9e45968\"},{\"name\":\"Directory Loader\",\"description\":\"Generic File Loader\",\"data\":{\"edges\":[],\"nodes\":[{\"data\":{\"type\":\"CustomComponent\",\"node\":{\"template\":{\"code\":{\"dynamic\":true,\"required\":true,\"placeholder\":\"\",\"show\":true,\"multiline\":true,\"value\":\"import os\\n\\nfrom langchain.schema import Document\\nfrom langflow import CustomComponent\\nimport glob\\n\\nclass DirectoryLoaderComponent(CustomComponent):\\n display_name: str = \\\"Directory Loader\\\"\\n description: str = \\\"Generic File Loader\\\"\\n beta = True\\n loaders_info = [\\n {\\n \\\"loader\\\": \\\"AirbyteJSONLoader\\\",\\n \\\"name\\\": \\\"Airbyte JSON (.jsonl)\\\",\\n \\\"import\\\": \\\"langchain.document_loaders.AirbyteJSONLoader\\\",\\n \\\"defaultFor\\\": [\\\"jsonl\\\"],\\n \\\"allowdTypes\\\": [\\\"jsonl\\\"],\\n },\\n {\\n \\\"loader\\\": \\\"JSONLoader\\\",\\n \\\"name\\\": \\\"JSON (.json)\\\",\\n \\\"import\\\": \\\"langchain.document_loaders.JSONLoader\\\",\\n \\\"defaultFor\\\": [\\\"json\\\"],\\n \\\"allowdTypes\\\": [\\\"json\\\"],\\n \\\"kwargs\\\": {\\\"jq_schema\\\": \\\".\\\", \\\"text_content\\\": False}\\n },\\n {\\n \\\"loader\\\": \\\"BSHTMLLoader\\\",\\n \\\"name\\\": \\\"BeautifulSoup4 HTML (.html, .htm)\\\",\\n \\\"import\\\": \\\"langchain.document_loaders.BSHTMLLoader\\\",\\n \\\"allowdTypes\\\": [\\\"html\\\", \\\"htm\\\"],\\n },\\n {\\n \\\"loader\\\": \\\"CSVLoader\\\",\\n \\\"name\\\": \\\"CSV (.csv)\\\",\\n \\\"import\\\": \\\"langchain.document_loaders.CSVLoader\\\",\\n \\\"defaultFor\\\": [\\\"csv\\\"],\\n \\\"allowdTypes\\\": [\\\"csv\\\"],\\n },\\n {\\n \\\"loader\\\": \\\"CoNLLULoader\\\",\\n \\\"name\\\": \\\"CoNLL-U (.conllu)\\\",\\n \\\"import\\\": \\\"langchain.document_loaders.CoNLLULoader\\\",\\n \\\"defaultFor\\\": [\\\"conllu\\\"],\\n \\\"allowdTypes\\\": [\\\"conllu\\\"],\\n },\\n {\\n \\\"loader\\\": \\\"EverNoteLoader\\\",\\n \\\"name\\\": \\\"EverNote (.enex)\\\",\\n \\\"import\\\": \\\"langchain.document_loaders.EverNoteLoader\\\",\\n \\\"defaultFor\\\": [\\\"enex\\\"],\\n \\\"allowdTypes\\\": [\\\"enex\\\"],\\n },\\n {\\n \\\"loader\\\": \\\"FacebookChatLoader\\\",\\n \\\"name\\\": \\\"Facebook Chat (.json)\\\",\\n \\\"import\\\": \\\"langchain.document_loaders.FacebookChatLoader\\\",\\n \\\"allowdTypes\\\": [\\\"json\\\"],\\n },\\n {\\n \\\"loader\\\": \\\"OutlookMessageLoader\\\",\\n \\\"name\\\": \\\"Outlook Message (.msg)\\\",\\n \\\"import\\\": \\\"langchain.document_loaders.OutlookMessageLoader\\\",\\n \\\"defaultFor\\\": [\\\"msg\\\"],\\n \\\"allowdTypes\\\": [\\\"msg\\\"],\\n },\\n {\\n \\\"loader\\\": \\\"PyPDFLoader\\\",\\n \\\"name\\\": \\\"PyPDF (.pdf)\\\",\\n \\\"import\\\": \\\"langchain.document_loaders.PyPDFLoader\\\",\\n \\\"defaultFor\\\": [\\\"pdf\\\"],\\n \\\"allowdTypes\\\": [\\\"pdf\\\"],\\n },\\n {\\n \\\"loader\\\": \\\"STRLoader\\\",\\n \\\"name\\\": \\\"Subtitle (.str)\\\",\\n \\\"import\\\": \\\"langchain.document_loaders.STRLoader\\\",\\n \\\"defaultFor\\\": [\\\"str\\\"],\\n \\\"allowdTypes\\\": [\\\"str\\\"],\\n },\\n {\\n \\\"loader\\\": \\\"TextLoader\\\",\\n \\\"name\\\": \\\"Text (.txt)\\\",\\n \\\"import\\\": \\\"langchain.document_loaders.TextLoader\\\",\\n \\\"defaultFor\\\": [\\\"txt\\\"],\\n \\\"allowdTypes\\\": [\\\"txt\\\"],\\n },\\n {\\n \\\"loader\\\": \\\"UnstructuredEmailLoader\\\",\\n \\\"name\\\": \\\"Unstructured Email (.eml)\\\",\\n \\\"import\\\": \\\"langchain.document_loaders.UnstructuredEmailLoader\\\",\\n \\\"defaultFor\\\": [\\\"eml\\\"],\\n \\\"allowdTypes\\\": [\\\"eml\\\"],\\n },\\n {\\n \\\"loader\\\": \\\"UnstructuredHTMLLoader\\\",\\n \\\"name\\\": \\\"Unstructured HTML (.html, .htm)\\\",\\n \\\"import\\\": \\\"langchain.document_loaders.UnstructuredHTMLLoader\\\",\\n \\\"defaultFor\\\": [\\\"html\\\", \\\"htm\\\"],\\n \\\"allowdTypes\\\": [\\\"html\\\", \\\"htm\\\"],\\n },\\n {\\n \\\"loader\\\": \\\"UnstructuredMarkdownLoader\\\",\\n \\\"name\\\": \\\"Unstructured Markdown (.md)\\\",\\n \\\"import\\\": \\\"langchain.document_loaders.UnstructuredMarkdownLoader\\\",\\n \\\"defaultFor\\\": [\\\"md\\\"],\\n \\\"allowdTypes\\\": [\\\"md\\\"],\\n },\\n {\\n \\\"loader\\\": \\\"UnstructuredPowerPointLoader\\\",\\n \\\"name\\\": \\\"Unstructured PowerPoint (.pptx)\\\",\\n \\\"import\\\": \\\"langchain.document_loaders.UnstructuredPowerPointLoader\\\",\\n \\\"defaultFor\\\": [\\\"pptx\\\"],\\n \\\"allowdTypes\\\": [\\\"pptx\\\"],\\n },\\n {\\n \\\"loader\\\": \\\"UnstructuredWordLoader\\\",\\n \\\"name\\\": \\\"Unstructured Word (.docx)\\\",\\n \\\"import\\\": \\\"langchain.document_loaders.UnstructuredWordLoader\\\",\\n \\\"defaultFor\\\": [\\\"docx\\\"],\\n \\\"allowdTypes\\\": [\\\"docx\\\"],\\n },\\n]\\n\\n\\n def build_config(self):\\n loader_options = [\\\"Automatic\\\"] + [\\n loader_info[\\\"name\\\"] for loader_info in self.loaders_info\\n ]\\n\\n file_types = []\\n suffixes = []\\n\\n for loader_info in self.loaders_info:\\n if \\\"allowedTypes\\\" in loader_info:\\n file_types.extend(loader_info[\\\"allowedTypes\\\"])\\n suffixes.extend([f\\\".{ext}\\\" for ext in loader_info[\\\"allowedTypes\\\"]])\\n\\n return {\\n \\\"directory_path\\\": {\\n \\\"display_name\\\": \\\"Directory Path\\\",\\n \\\"required\\\": True,\\n },\\n \\\"loader\\\": {\\n \\\"display_name\\\": \\\"Loader\\\",\\n \\\"is_list\\\": True,\\n \\\"required\\\": True,\\n \\\"options\\\": loader_options,\\n \\\"value\\\": \\\"Automatic\\\",\\n },\\n }\\n\\n def build(self, directory_path: str, loader: str) -> Document:\\n # Verifique se o diretório existe\\n if not os.path.exists(directory_path):\\n raise ValueError(f\\\"Directory not found: {directory_path}\\\")\\n\\n files = glob.glob(directory_path + \\\"/*.*\\\")\\n\\n\\n loader_info = None\\n if loader == \\\"Automatic\\\":\\n for file in files:\\n file_type = file.split(\\\".\\\")[-1]\\n\\n\\n for info in self.loaders_info:\\n if \\\"defaultFor\\\" in info:\\n if file_type in info[\\\"defaultFor\\\"]:\\n loader_info = info\\n break\\n if loader_info:\\n break\\n\\n if not loader_info:\\n raise ValueError(\\n \\\"No default loader found for any file in the directory\\\"\\n )\\n\\n else:\\n for info in self.loaders_info:\\n if info[\\\"name\\\"] == loader:\\n loader_info = info\\n break\\n\\n if not loader_info:\\n raise ValueError(f\\\"Loader {loader} not found in the loader info list\\\")\\n\\n loader_import = loader_info[\\\"import\\\"]\\n module_name, class_name = loader_import.rsplit(\\\".\\\", 1)\\n\\n try:\\n # Importe o loader dinamicamente\\n loader_module = __import__(module_name, fromlist=[class_name])\\n loader_instance = getattr(loader_module, class_name)\\n except ImportError as e:\\n raise ValueError(\\n f\\\"Loader {loader} could not be imported\\\\nLoader info:\\\\n{loader_info}\\\"\\n ) from e\\n\\n results = []\\n for file in files:\\n file_path = os.path.join(directory_path, file)\\n kwargs = loader_info.get(\\\"kwargs\\\", {})\\n result = loader_instance(file_path=file_path, **kwargs).load()\\n results.append(result)\\n self.status = results\\n return results\",\"password\":false,\"name\":\"code\",\"advanced\":false,\"type\":\"code\",\"list\":false},\"_type\":\"CustomComponent\",\"directory_path\":{\"required\":true,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"password\":false,\"name\":\"directory_path\",\"display_name\":\"Directory Path\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"str\",\"list\":false,\"value\":\"/Users/ogabrielluiz/Projects/langflow2/docs\"},\"loader\":{\"required\":true,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"value\":\"Automatic\",\"password\":false,\"options\":[\"Automatic\",\"Airbyte JSON (.jsonl)\",\"JSON (.json)\",\"BeautifulSoup4 HTML (.html, .htm)\",\"CSV (.csv)\",\"CoNLL-U (.conllu)\",\"EverNote (.enex)\",\"Facebook Chat (.json)\",\"Outlook Message (.msg)\",\"PyPDF (.pdf)\",\"Subtitle (.str)\",\"Text (.txt)\",\"Unstructured Email (.eml)\",\"Unstructured HTML (.html, .htm)\",\"Unstructured Markdown (.md)\",\"Unstructured PowerPoint (.pptx)\",\"Unstructured Word (.docx)\"],\"name\":\"loader\",\"display_name\":\"Loader\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"str\",\"list\":true}},\"description\":\"Generic File Loader\",\"base_classes\":[\"Document\"],\"display_name\":\"Directory Loader\",\"custom_fields\":{\"directory_path\":null,\"loader\":null},\"output_types\":[\"Document\"],\"documentation\":\"\",\"beta\":true,\"error\":null,\"official\":false},\"id\":\"CustomComponent-Ip6tG\"},\"id\":\"CustomComponent-Ip6tG\",\"position\":{\"x\":0,\"y\":0},\"type\":\"genericNode\"}],\"viewport\":{\"x\":1,\"y\":1,\"zoom\":1}},\"is_component\":true,\"updated_at\":\"2023-12-04T22:58:38.570303\",\"folder\":null,\"id\":\"5fe4debc-b6a7-45d4-a694-c02d8aa93b08\",\"user_id\":\"d253bfba-6368-44dc-85f7-0d6da9e45968\"},{\"name\":\"Whisper Transcriber\",\"description\":\"Converts audio to text using OpenAI's Whisper.\",\"data\":{\"edges\":[],\"nodes\":[{\"data\":{\"type\":\"CustomComponent\",\"node\":{\"template\":{\"code\":{\"dynamic\":true,\"required\":true,\"placeholder\":\"\",\"show\":true,\"multiline\":true,\"value\":\"from langflow import CustomComponent\\nfrom typing import Optional, List, Dict, Union\\nfrom langflow.field_typing import (\\n AgentExecutor,\\n BaseChatMemory,\\n BaseLanguageModel,\\n BaseLLM,\\n BaseLoader,\\n BaseMemory,\\n BaseOutputParser,\\n BasePromptTemplate,\\n BaseRetriever,\\n Callable,\\n Chain,\\n ChatPromptTemplate,\\n Data,\\n Document,\\n Embeddings,\\n NestedDict,\\n Object,\\n PromptTemplate,\\n TextSplitter,\\n Tool,\\n VectorStore,\\n)\\n\\nfrom openai import OpenAI\\nclass Component(CustomComponent):\\n display_name: str = \\\"Whisper Transcriber\\\"\\n description: str = \\\"Converts audio to text using OpenAI's Whisper.\\\"\\n\\n def build_config(self):\\n return {\\\"audio\\\":{\\\"field_type\\\":\\\"file\\\",\\\"suffixes\\\":[\\\".mp3\\\", \\\".mp4\\\", \\\".m4a\\\"]},\\\"OpenAIKey\\\":{\\\"field_type\\\":\\\"str\\\",\\\"password\\\":True}}\\n\\n def build(self, audio:str, OpenAIKey:str) -> str:\\n \\n # TODO: if output path, persist & load it instead\\n \\n client = OpenAI(api_key=OpenAIKey)\\n \\n audio_file= open(audio, \\\"rb\\\")\\n transcript = client.audio.transcriptions.create(\\n model=\\\"whisper-1\\\", \\n file=audio_file,\\n response_format=\\\"text\\\"\\n )\\n \\n \\n self.status = transcript\\n return transcript\\n\\n\",\"password\":false,\"name\":\"code\",\"advanced\":false,\"type\":\"code\",\"list\":false},\"_type\":\"CustomComponent\",\"OpenAIKey\":{\"required\":true,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"password\":true,\"name\":\"OpenAIKey\",\"display_name\":\"OpenAIKey\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"str\",\"list\":false,\"value\":\"\"},\"audio\":{\"required\":true,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"suffixes\":[\".mp3\",\".mp4\",\".m4a\"],\"password\":false,\"name\":\"audio\",\"display_name\":\"audio\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"file\",\"list\":false,\"file_path\":\"/Users/rodrigonader/Library/Caches/langflow/19b3e1c9-90bf-405f-898a-e982f47adf76/a3308ce7e9b10088fcd985aabb6d17b012c6b6e81ff8806356574474c9d10229.m4a\",\"value\":\"Audio Recording 2023-11-29 at 12.12.04.m4a\"}},\"description\":\"Converts audio to text using OpenAI's Whisper.\",\"base_classes\":[\"str\"],\"display_name\":\"Whisper Transcriber\",\"custom_fields\":{\"OpenAIKey\":null,\"audio\":null},\"output_types\":[\"str\"],\"documentation\":\"\",\"beta\":true,\"error\":null,\"official\":false},\"id\":\"CustomComponent-GJRrs\"},\"id\":\"CustomComponent-GJRrs\",\"position\":{\"x\":0,\"y\":0},\"type\":\"genericNode\"}],\"viewport\":{\"x\":1,\"y\":1,\"zoom\":1}},\"is_component\":true,\"updated_at\":\"2023-12-04T22:58:39.710502\",\"folder\":null,\"id\":\"bd9e911d-46bd-429f-aa75-dd740430695e\",\"user_id\":\"d253bfba-6368-44dc-85f7-0d6da9e45968\"},{\"name\":\"Youtube Conversation\",\"description\":\"Craft Meaningful Interactions, Generate Value.\",\"data\":{\"nodes\":[{\"width\":384,\"height\":589,\"id\":\"CustomComponent-h0NSI\",\"type\":\"genericNode\",\"position\":{\"x\":714.9531293402755,\"y\":0.4994374160582993},\"data\":{\"type\":\"CustomComponent\",\"node\":{\"template\":{\"code\":{\"dynamic\":true,\"required\":true,\"placeholder\":\"\",\"show\":true,\"multiline\":true,\"value\":\"import requests\\nfrom langflow import CustomComponent\\nfrom langchain.llms.base import BaseLLM\\nfrom langchain.schema import Document\\nfrom langchain.document_loaders import YoutubeLoader\\n\\n# Example usage:\\n\\nclass YourComponent(CustomComponent):\\n display_name: str = \\\"YouTube Transcript\\\"\\n description: str = \\\"YouTube transcripts refer to the written text versions of the spoken content in a video uploaded to the YouTube platform.\\\"\\n\\n def build_config(self):\\n return {\\\"url\\\": {\\\"multiline\\\": True, \\\"required\\\": True}}\\n\\n def build(self, url: str, llm: BaseLLM, dependencies: Document, language: str = \\\"en\\\") -> Document:\\n dependencies\\n response = requests.get(url)\\n loader = YoutubeLoader.from_youtube_url(url, add_video_info=True, language=[language])\\n result = loader.load()\\n self.repr_value = str(result)\\n return result\",\"password\":false,\"name\":\"code\",\"advanced\":false,\"type\":\"code\",\"list\":false},\"_type\":\"CustomComponent\",\"dependencies\":{\"required\":true,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"password\":false,\"name\":\"dependencies\",\"display_name\":\"dependencies\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"Document\",\"list\":false},\"language\":{\"required\":true,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"value\":\"en\",\"password\":false,\"name\":\"language\",\"display_name\":\"language\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"str\",\"list\":false},\"llm\":{\"required\":true,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"password\":false,\"name\":\"llm\",\"display_name\":\"llm\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"BaseLLM\",\"list\":false},\"url\":{\"required\":true,\"placeholder\":\"\",\"show\":true,\"multiline\":true,\"password\":false,\"name\":\"url\",\"display_name\":\"url\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"str\",\"list\":false}},\"description\":\"YouTube transcripts refer to the written text versions of the spoken content in a video uploaded to the YouTube platform.\",\"base_classes\":[\"Document\"],\"display_name\":\"YouTube Transcript\",\"custom_fields\":{\"dependencies\":null,\"language\":null,\"llm\":null,\"url\":null},\"output_types\":[\"Document\"],\"documentation\":\"\",\"beta\":true,\"error\":null},\"id\":\"CustomComponent-h0NSI\"},\"selected\":false,\"dragging\":false,\"positionAbsolute\":{\"x\":714.9531293402755,\"y\":0.4994374160582993}},{\"width\":384,\"height\":629,\"id\":\"ChatOpenAI-q61Y2\",\"type\":\"genericNode\",\"position\":{\"x\":18,\"y\":625.5521045590924},\"data\":{\"type\":\"ChatOpenAI\",\"node\":{\"template\":{\"callbacks\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"password\":false,\"name\":\"callbacks\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"langchain.callbacks.base.BaseCallbackHandler\",\"list\":true},\"cache\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"password\":false,\"name\":\"cache\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"bool\",\"list\":false},\"client\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"password\":false,\"name\":\"client\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"Any\",\"list\":false},\"max_retries\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"value\":6,\"password\":false,\"name\":\"max_retries\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"int\",\"list\":false},\"max_tokens\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"password\":true,\"name\":\"max_tokens\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"int\",\"list\":false,\"value\":\"\"},\"metadata\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"password\":false,\"name\":\"metadata\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"dict\",\"list\":false},\"model_kwargs\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"password\":false,\"name\":\"model_kwargs\",\"advanced\":true,\"dynamic\":false,\"info\":\"\",\"type\":\"dict\",\"list\":false},\"model_name\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"value\":\"gpt-3.5-turbo-16k\",\"password\":false,\"options\":[\"gpt-3.5-turbo-0613\",\"gpt-3.5-turbo\",\"gpt-3.5-turbo-16k-0613\",\"gpt-3.5-turbo-16k\",\"gpt-4-0613\",\"gpt-4-32k-0613\",\"gpt-4\",\"gpt-4-32k\"],\"name\":\"model_name\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"str\",\"list\":true},\"n\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"value\":1,\"password\":false,\"name\":\"n\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"int\",\"list\":false},\"openai_api_base\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"password\":false,\"name\":\"openai_api_base\",\"display_name\":\"OpenAI API Base\",\"advanced\":false,\"dynamic\":false,\"info\":\"\\nThe base URL of the OpenAI API. Defaults to https://api.openai.com/v1.\\n\\nYou can change this to use other APIs like JinaChat, LocalAI and Prem.\\n\",\"type\":\"str\",\"list\":false},\"openai_api_key\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"value\":\"\",\"password\":true,\"name\":\"openai_api_key\",\"display_name\":\"OpenAI API Key\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"str\",\"list\":false},\"openai_organization\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"password\":false,\"name\":\"openai_organization\",\"display_name\":\"OpenAI Organization\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"str\",\"list\":false},\"openai_proxy\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"password\":false,\"name\":\"openai_proxy\",\"display_name\":\"OpenAI Proxy\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"str\",\"list\":false},\"request_timeout\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"password\":false,\"name\":\"request_timeout\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"float\",\"list\":false},\"streaming\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"value\":false,\"password\":false,\"name\":\"streaming\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"bool\",\"list\":false},\"tags\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"password\":false,\"name\":\"tags\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"str\",\"list\":true},\"temperature\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"value\":0.7,\"password\":false,\"name\":\"temperature\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"float\",\"list\":false},\"tiktoken_model_name\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"password\":false,\"name\":\"tiktoken_model_name\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"str\",\"list\":false},\"verbose\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"value\":false,\"password\":false,\"name\":\"verbose\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"bool\",\"list\":false},\"_type\":\"ChatOpenAI\"},\"description\":\"`OpenAI` Chat large language models API.\",\"base_classes\":[\"ChatOpenAI\",\"BaseChatModel\",\"BaseLanguageModel\",\"BaseLLM\"],\"display_name\":\"ChatOpenAI\",\"custom_fields\":{},\"output_types\":[],\"documentation\":\"https://python.langchain.com/docs/modules/model_io/models/chat/integrations/openai\",\"beta\":false,\"error\":null},\"id\":\"ChatOpenAI-q61Y2\"},\"selected\":false,\"positionAbsolute\":{\"x\":18,\"y\":625.5521045590924},\"dragging\":false},{\"width\":384,\"height\":539,\"id\":\"Chroma-gVhy7\",\"type\":\"genericNode\",\"position\":{\"x\":2110.365967257855,\"y\":805.0149521868784},\"data\":{\"type\":\"Chroma\",\"node\":{\"template\":{\"client\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"password\":false,\"name\":\"client\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"chromadb.Client\",\"list\":false},\"client_settings\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"password\":false,\"name\":\"client_settings\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"chromadb.config.Setting\",\"list\":true},\"documents\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"password\":false,\"name\":\"documents\",\"display_name\":\"Documents\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"Document\",\"list\":true},\"embedding\":{\"required\":true,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"password\":false,\"name\":\"embedding\",\"display_name\":\"Embedding\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"Embeddings\",\"list\":false},\"chroma_server_cors_allow_origins\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"password\":false,\"name\":\"chroma_server_cors_allow_origins\",\"display_name\":\"Chroma Server CORS Allow Origins\",\"advanced\":true,\"dynamic\":false,\"info\":\"\",\"type\":\"str\",\"list\":true},\"chroma_server_grpc_port\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"password\":false,\"name\":\"chroma_server_grpc_port\",\"display_name\":\"Chroma Server GRPC Port\",\"advanced\":true,\"dynamic\":false,\"info\":\"\",\"type\":\"str\",\"list\":false},\"chroma_server_host\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"password\":false,\"name\":\"chroma_server_host\",\"display_name\":\"Chroma Server Host\",\"advanced\":true,\"dynamic\":false,\"info\":\"\",\"type\":\"str\",\"list\":false},\"chroma_server_http_port\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"password\":false,\"name\":\"chroma_server_http_port\",\"display_name\":\"Chroma Server HTTP Port\",\"advanced\":true,\"dynamic\":false,\"info\":\"\",\"type\":\"str\",\"list\":false},\"chroma_server_ssl_enabled\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"value\":false,\"password\":false,\"name\":\"chroma_server_ssl_enabled\",\"display_name\":\"Chroma Server SSL Enabled\",\"advanced\":true,\"dynamic\":false,\"info\":\"\",\"type\":\"bool\",\"list\":false},\"collection_metadata\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"password\":false,\"name\":\"collection_metadata\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"dict\",\"list\":false},\"collection_name\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"value\":\"langchain\",\"password\":false,\"name\":\"collection_name\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"str\",\"list\":false},\"ids\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"password\":false,\"name\":\"ids\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"str\",\"list\":true},\"metadatas\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"password\":false,\"name\":\"metadatas\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"dict\",\"list\":true},\"persist\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"value\":false,\"password\":false,\"name\":\"persist\",\"display_name\":\"Persist\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"bool\",\"list\":false},\"persist_directory\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"password\":false,\"name\":\"persist_directory\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"str\",\"list\":false},\"search_kwargs\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"value\":\"{}\",\"password\":false,\"name\":\"search_kwargs\",\"advanced\":true,\"dynamic\":false,\"info\":\"\",\"type\":\"NestedDict\",\"list\":false},\"_type\":\"Chroma\"},\"description\":\"Create a Chroma vectorstore from a raw documents.\",\"base_classes\":[\"VectorStore\",\"Chroma\",\"BaseRetriever\",\"VectorStoreRetriever\"],\"display_name\":\"Chroma\",\"custom_fields\":{},\"output_types\":[],\"documentation\":\"https://python.langchain.com/docs/modules/data_connection/vectorstores/integrations/chroma\",\"beta\":false,\"error\":null},\"id\":\"Chroma-gVhy7\"},\"selected\":false,\"positionAbsolute\":{\"x\":2110.365967257855,\"y\":805.0149521868784},\"dragging\":false},{\"width\":384,\"height\":501,\"id\":\"RecursiveCharacterTextSplitter-1eaOX\",\"type\":\"genericNode\",\"position\":{\"x\":1409.2872773444874,\"y\":19.45456141103284},\"data\":{\"type\":\"RecursiveCharacterTextSplitter\",\"node\":{\"template\":{\"code\":{\"dynamic\":true,\"required\":true,\"placeholder\":\"\",\"show\":false,\"multiline\":true,\"value\":\"from typing import Optional\\nfrom langflow import CustomComponent\\nfrom langchain.schema import Document\\nfrom langflow.utils.util import build_loader_repr_from_documents\\n\\n\\nclass RecursiveCharacterTextSplitterComponent(CustomComponent):\\n display_name: str = \\\"Recursive Character Text Splitter\\\"\\n description: str = \\\"Split text into chunks of a specified length.\\\"\\n documentation: str = \\\"https://docs.langflow.org/components/text-splitters#recursivecharactertextsplitter\\\"\\n\\n def build_config(self):\\n return {\\n \\\"documents\\\": {\\n \\\"display_name\\\": \\\"Documents\\\",\\n \\\"info\\\": \\\"The documents to split.\\\",\\n },\\n \\\"separators\\\": {\\n \\\"display_name\\\": \\\"Separators\\\",\\n \\\"info\\\": 'The characters to split on.\\\\nIf left empty defaults to [\\\"\\\\\\\\n\\\\\\\\n\\\", \\\"\\\\\\\\n\\\", \\\" \\\", \\\"\\\"].',\\n \\\"is_list\\\": True,\\n },\\n \\\"chunk_size\\\": {\\n \\\"display_name\\\": \\\"Chunk Size\\\",\\n \\\"info\\\": \\\"The maximum length of each chunk.\\\",\\n \\\"field_type\\\": \\\"int\\\",\\n \\\"value\\\": 1000,\\n },\\n \\\"chunk_overlap\\\": {\\n \\\"display_name\\\": \\\"Chunk Overlap\\\",\\n \\\"info\\\": \\\"The amount of overlap between chunks.\\\",\\n \\\"field_type\\\": \\\"int\\\",\\n \\\"value\\\": 200,\\n },\\n \\\"code\\\": {\\\"show\\\": False},\\n }\\n\\n def build(\\n self,\\n documents: list[Document],\\n separators: Optional[list[str]] = None,\\n chunk_size: Optional[int] = 1000,\\n chunk_overlap: Optional[int] = 200,\\n ) -> list[Document]:\\n \\\"\\\"\\\"\\n Split text into chunks of a specified length.\\n\\n Args:\\n separators (list[str]): The characters to split on.\\n chunk_size (int): The maximum length of each chunk.\\n chunk_overlap (int): The amount of overlap between chunks.\\n length_function (function): The function to use to calculate the length of the text.\\n\\n Returns:\\n list[str]: The chunks of text.\\n \\\"\\\"\\\"\\n from langchain.text_splitter import RecursiveCharacterTextSplitter\\n\\n if separators == \\\"\\\":\\n separators = None\\n elif separators:\\n # check if the separators list has escaped characters\\n # if there are escaped characters, unescape them\\n separators = [x.encode().decode(\\\"unicode-escape\\\") for x in separators]\\n\\n # Make sure chunk_size and chunk_overlap are ints\\n if isinstance(chunk_size, str):\\n chunk_size = int(chunk_size)\\n if isinstance(chunk_overlap, str):\\n chunk_overlap = int(chunk_overlap)\\n splitter = RecursiveCharacterTextSplitter(\\n separators=separators,\\n chunk_size=chunk_size,\\n chunk_overlap=chunk_overlap,\\n )\\n\\n docs = splitter.split_documents(documents)\\n self.repr_value = build_loader_repr_from_documents(docs)\\n return docs\\n\",\"password\":false,\"name\":\"code\",\"advanced\":false,\"type\":\"code\",\"list\":false},\"_type\":\"CustomComponent\",\"chunk_overlap\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"value\":\"50\",\"password\":false,\"name\":\"chunk_overlap\",\"display_name\":\"Chunk Overlap\",\"advanced\":false,\"dynamic\":false,\"info\":\"The amount of overlap between chunks.\",\"type\":\"int\",\"list\":false},\"chunk_size\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"value\":\"400\",\"password\":false,\"name\":\"chunk_size\",\"display_name\":\"Chunk Size\",\"advanced\":false,\"dynamic\":false,\"info\":\"The maximum length of each chunk.\",\"type\":\"int\",\"list\":false},\"documents\":{\"required\":true,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"password\":false,\"name\":\"documents\",\"display_name\":\"Documents\",\"advanced\":false,\"dynamic\":false,\"info\":\"The documents to split.\",\"type\":\"Document\",\"list\":true},\"separators\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"password\":false,\"name\":\"separators\",\"display_name\":\"Separators\",\"advanced\":false,\"dynamic\":false,\"info\":\"The characters to split on.\\nIf left empty defaults to [\\\"\\\\n\\\\n\\\", \\\"\\\\n\\\", \\\" \\\", \\\"\\\"].\",\"type\":\"str\",\"list\":true,\"value\":[\" \"]}},\"description\":\"Split text into chunks of a specified length.\",\"base_classes\":[\"Document\"],\"display_name\":\"Recursive Character Text Splitter\",\"custom_fields\":{\"chunk_overlap\":null,\"chunk_size\":null,\"documents\":null,\"separators\":null},\"output_types\":[\"RecursiveCharacterTextSplitter\"],\"documentation\":\"https://docs.langflow.org/components/text-splitters#recursivecharactertextsplitter\",\"beta\":true,\"error\":null},\"id\":\"RecursiveCharacterTextSplitter-1eaOX\"},\"selected\":false,\"positionAbsolute\":{\"x\":1409.2872773444874,\"y\":19.45456141103284},\"dragging\":false},{\"width\":384,\"height\":367,\"id\":\"OpenAIEmbeddings-cduOO\",\"type\":\"genericNode\",\"position\":{\"x\":1405.1176670984544,\"y\":1029.459061269321},\"data\":{\"type\":\"OpenAIEmbeddings\",\"node\":{\"template\":{\"allowed_special\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"value\":[],\"password\":false,\"name\":\"allowed_special\",\"advanced\":true,\"dynamic\":false,\"info\":\"\",\"type\":\"Literal'all'\",\"list\":true},\"disallowed_special\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"value\":\"all\",\"password\":false,\"name\":\"disallowed_special\",\"advanced\":true,\"dynamic\":false,\"info\":\"\",\"type\":\"Literal'all'\",\"list\":true},\"chunk_size\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"value\":1000,\"password\":false,\"name\":\"chunk_size\",\"advanced\":true,\"dynamic\":false,\"info\":\"\",\"type\":\"int\",\"list\":false},\"client\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"password\":false,\"name\":\"client\",\"advanced\":true,\"dynamic\":false,\"info\":\"\",\"type\":\"Any\",\"list\":false},\"deployment\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"value\":\"text-embedding-ada-002\",\"password\":false,\"name\":\"deployment\",\"advanced\":true,\"dynamic\":false,\"info\":\"\",\"type\":\"str\",\"list\":false},\"embedding_ctx_length\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"value\":8191,\"password\":false,\"name\":\"embedding_ctx_length\",\"advanced\":true,\"dynamic\":false,\"info\":\"\",\"type\":\"int\",\"list\":false},\"headers\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":true,\"value\":\"{'Authorization': 'Bearer '}\",\"password\":false,\"name\":\"headers\",\"advanced\":true,\"dynamic\":false,\"info\":\"\",\"type\":\"Any\",\"list\":false},\"max_retries\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"value\":6,\"password\":false,\"name\":\"max_retries\",\"advanced\":true,\"dynamic\":false,\"info\":\"\",\"type\":\"int\",\"list\":false},\"model\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"value\":\"text-embedding-ada-002\",\"password\":false,\"name\":\"model\",\"advanced\":true,\"dynamic\":false,\"info\":\"\",\"type\":\"str\",\"list\":false},\"model_kwargs\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"password\":false,\"name\":\"model_kwargs\",\"advanced\":true,\"dynamic\":false,\"info\":\"\",\"type\":\"dict\",\"list\":false},\"openai_api_base\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"password\":true,\"name\":\"openai_api_base\",\"display_name\":\"OpenAI API Base\",\"advanced\":true,\"dynamic\":false,\"info\":\"\",\"type\":\"str\",\"list\":false,\"value\":\"\"},\"openai_api_key\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"value\":\"\",\"password\":true,\"name\":\"openai_api_key\",\"display_name\":\"OpenAI API Key\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"str\",\"list\":false},\"openai_api_type\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"password\":true,\"name\":\"openai_api_type\",\"display_name\":\"OpenAI API Type\",\"advanced\":true,\"dynamic\":false,\"info\":\"\",\"type\":\"str\",\"list\":false,\"value\":\"\"},\"openai_api_version\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"password\":true,\"name\":\"openai_api_version\",\"display_name\":\"OpenAI API Version\",\"advanced\":true,\"dynamic\":false,\"info\":\"\",\"type\":\"str\",\"list\":false,\"value\":\"\"},\"openai_organization\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"password\":false,\"name\":\"openai_organization\",\"display_name\":\"OpenAI Organization\",\"advanced\":true,\"dynamic\":false,\"info\":\"\",\"type\":\"str\",\"list\":false},\"openai_proxy\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"password\":false,\"name\":\"openai_proxy\",\"display_name\":\"OpenAI Proxy\",\"advanced\":true,\"dynamic\":false,\"info\":\"\",\"type\":\"str\",\"list\":false},\"request_timeout\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"password\":false,\"name\":\"request_timeout\",\"advanced\":true,\"dynamic\":false,\"info\":\"\",\"type\":\"float\",\"list\":false},\"show_progress_bar\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"value\":false,\"password\":false,\"name\":\"show_progress_bar\",\"advanced\":true,\"dynamic\":false,\"info\":\"\",\"type\":\"bool\",\"list\":false},\"skip_empty\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"value\":false,\"password\":false,\"name\":\"skip_empty\",\"advanced\":true,\"dynamic\":false,\"info\":\"\",\"type\":\"bool\",\"list\":false},\"tiktoken_model_name\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"password\":true,\"name\":\"tiktoken_model_name\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"str\",\"list\":false,\"value\":\"\"},\"_type\":\"OpenAIEmbeddings\"},\"description\":\"OpenAI embedding models.\",\"base_classes\":[\"Embeddings\",\"OpenAIEmbeddings\"],\"display_name\":\"OpenAIEmbeddings\",\"custom_fields\":{},\"output_types\":[],\"documentation\":\"https://python.langchain.com/docs/modules/data_connection/text_embedding/integrations/openai\",\"beta\":false,\"error\":null},\"id\":\"OpenAIEmbeddings-cduOO\"},\"selected\":false,\"positionAbsolute\":{\"x\":1405.1176670984544,\"y\":1029.459061269321}},{\"width\":384,\"height\":339,\"id\":\"RetrievalQA-4PmTB\",\"type\":\"genericNode\",\"position\":{\"x\":2711.7786966415715,\"y\":709.4450828605463},\"data\":{\"type\":\"RetrievalQA\",\"node\":{\"template\":{\"callbacks\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"password\":false,\"name\":\"callbacks\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"langchain.callbacks.base.BaseCallbackHandler\",\"list\":true},\"combine_documents_chain\":{\"required\":true,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"password\":false,\"name\":\"combine_documents_chain\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"BaseCombineDocumentsChain\",\"list\":false},\"memory\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"password\":false,\"name\":\"memory\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"BaseMemory\",\"list\":false},\"retriever\":{\"required\":true,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"password\":false,\"name\":\"retriever\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"BaseRetriever\",\"list\":false},\"input_key\":{\"required\":true,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"value\":\"query\",\"password\":false,\"name\":\"input_key\",\"advanced\":true,\"dynamic\":false,\"info\":\"\",\"type\":\"str\",\"list\":false},\"metadata\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"password\":false,\"name\":\"metadata\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"dict\",\"list\":false},\"output_key\":{\"required\":true,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"value\":\"result\",\"password\":false,\"name\":\"output_key\",\"advanced\":true,\"dynamic\":false,\"info\":\"\",\"type\":\"str\",\"list\":false},\"return_source_documents\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"value\":true,\"password\":false,\"name\":\"return_source_documents\",\"advanced\":true,\"dynamic\":false,\"info\":\"\",\"type\":\"bool\",\"list\":false},\"tags\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"password\":false,\"name\":\"tags\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"str\",\"list\":true},\"verbose\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"password\":false,\"name\":\"verbose\",\"advanced\":true,\"dynamic\":false,\"info\":\"\",\"type\":\"bool\",\"list\":false},\"_type\":\"RetrievalQA\"},\"description\":\"Chain for question-answering against an index.\",\"base_classes\":[\"RetrievalQA\",\"Chain\",\"BaseRetrievalQA\",\"function\"],\"display_name\":\"RetrievalQA\",\"custom_fields\":{},\"output_types\":[],\"documentation\":\"https://python.langchain.com/docs/modules/chains/popular/vector_db_qa\",\"beta\":false,\"error\":null},\"id\":\"RetrievalQA-4PmTB\"},\"selected\":false,\"positionAbsolute\":{\"x\":2711.7786966415715,\"y\":709.4450828605463}},{\"width\":384,\"height\":333,\"id\":\"CombineDocsChain-yk0JF\",\"type\":\"genericNode\",\"position\":{\"x\":2125.6202053356537,\"y\":199.07708924409633},\"data\":{\"type\":\"CombineDocsChain\",\"node\":{\"template\":{\"llm\":{\"required\":true,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"password\":false,\"name\":\"llm\",\"display_name\":\"LLM\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"BaseLanguageModel\",\"list\":false},\"chain_type\":{\"required\":true,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"value\":\"stuff\",\"password\":false,\"options\":[\"stuff\",\"map_reduce\",\"map_rerank\",\"refine\"],\"name\":\"chain_type\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"str\",\"list\":true},\"_type\":\"load_qa_chain\"},\"description\":\"Load question answering chain.\",\"base_classes\":[\"BaseCombineDocumentsChain\",\"function\"],\"display_name\":\"CombineDocsChain\",\"custom_fields\":{},\"output_types\":[],\"documentation\":\"\",\"beta\":false,\"error\":null},\"id\":\"CombineDocsChain-yk0JF\"},\"selected\":false,\"positionAbsolute\":{\"x\":2125.6202053356537,\"y\":199.07708924409633},\"dragging\":false},{\"width\":384,\"height\":417,\"id\":\"CustomComponent-y6Wg0\",\"type\":\"genericNode\",\"position\":{\"x\":39.400034102832365,\"y\":-499.03551482195707},\"data\":{\"type\":\"CustomComponent\",\"node\":{\"template\":{\"code\":{\"dynamic\":true,\"required\":true,\"placeholder\":\"\",\"show\":true,\"multiline\":true,\"value\":\"from langflow import CustomComponent\\n\\nimport subprocess\\n\\nfrom langchain.llms.base import BaseLLM\\nfrom langchain.chains import LLMChain\\nfrom langchain.prompts import PromptTemplate\\nfrom langchain.schema import Document\\n\\nfrom typing import List\\n\\n\\nclass YourComponent(CustomComponent):\\n display_name: str = \\\"PIP Install\\\"\\n description: str = \\\"Create any custom component you want!\\\"\\n\\n def build(self, libs: List[str]) -> Document:\\n def install_package(package_name):\\n subprocess.check_call([\\\"pip\\\", \\\"install\\\", package_name])\\n for lib in libs:\\n install_package(lib)\\n return \\\"\\\"\",\"password\":false,\"name\":\"code\",\"advanced\":false,\"type\":\"code\",\"list\":false},\"_type\":\"CustomComponent\",\"libs\":{\"required\":true,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"password\":false,\"name\":\"libs\",\"display_name\":\"libs\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"str\",\"list\":true,\"value\":[\"requests\",\"pytube\"]}},\"description\":\"Create any custom component you want!\",\"base_classes\":[\"Document\"],\"display_name\":\"PIP Install\",\"custom_fields\":{\"libs\":null},\"output_types\":[],\"documentation\":\"\",\"beta\":true,\"error\":null},\"id\":\"CustomComponent-y6Wg0\"},\"selected\":false,\"dragging\":false,\"positionAbsolute\":{\"x\":39.400034102832365,\"y\":-499.03551482195707}}],\"edges\":[{\"source\":\"ChatOpenAI-q61Y2\",\"sourceHandle\":\"{œbaseClassesœ:[œChatOpenAIœ,œBaseChatModelœ,œBaseLanguageModelœ,œBaseLLMœ],œdataTypeœ:œChatOpenAIœ,œidœ:œChatOpenAI-q61Y2œ}\",\"target\":\"CustomComponent-h0NSI\",\"targetHandle\":\"{œfieldNameœ:œllmœ,œidœ:œCustomComponent-h0NSIœ,œinputTypesœ:null,œtypeœ:œBaseLLMœ}\",\"style\":{\"stroke\":\"#555\"},\"className\":\"stroke-gray-900 stroke-connection\",\"animated\":false,\"id\":\"reactflow__edge-ChatOpenAI-q61Y2{œbaseClassesœ:[œChatOpenAIœ,œBaseChatModelœ,œBaseLanguageModelœ,œBaseLLMœ],œdataTypeœ:œChatOpenAIœ,œidœ:œChatOpenAI-q61Y2œ}-CustomComponent-h0NSI{œfieldNameœ:œllmœ,œidœ:œCustomComponent-h0NSIœ,œinputTypesœ:null,œtypeœ:œBaseLLMœ}\",\"data\":{\"sourceHandle\":{\"baseClasses\":[\"ChatOpenAI\",\"BaseChatModel\",\"BaseLanguageModel\",\"BaseLLM\"],\"dataType\":\"ChatOpenAI\",\"id\":\"ChatOpenAI-q61Y2\"},\"targetHandle\":{\"fieldName\":\"llm\",\"id\":\"CustomComponent-h0NSI\",\"inputTypes\":null,\"type\":\"BaseLLM\"}}},{\"source\":\"CustomComponent-y6Wg0\",\"sourceHandle\":\"{œbaseClassesœ:[œDocumentœ],œdataTypeœ:œCustomComponentœ,œidœ:œCustomComponent-y6Wg0œ}\",\"target\":\"CustomComponent-h0NSI\",\"targetHandle\":\"{œfieldNameœ:œdependenciesœ,œidœ:œCustomComponent-h0NSIœ,œinputTypesœ:null,œtypeœ:œDocumentœ}\",\"style\":{\"stroke\":\"#555\"},\"className\":\"stroke-gray-900 stroke-connection\",\"animated\":false,\"id\":\"reactflow__edge-CustomComponent-y6Wg0{œbaseClassesœ:[œDocumentœ],œdataTypeœ:œCustomComponentœ,œidœ:œCustomComponent-y6Wg0œ}-CustomComponent-h0NSI{œfieldNameœ:œdependenciesœ,œidœ:œCustomComponent-h0NSIœ,œinputTypesœ:null,œtypeœ:œDocumentœ}\",\"data\":{\"sourceHandle\":{\"baseClasses\":[\"Document\"],\"dataType\":\"CustomComponent\",\"id\":\"CustomComponent-y6Wg0\"},\"targetHandle\":{\"fieldName\":\"dependencies\",\"id\":\"CustomComponent-h0NSI\",\"inputTypes\":null,\"type\":\"Document\"}}},{\"source\":\"CustomComponent-h0NSI\",\"sourceHandle\":\"{œbaseClassesœ:[œDocumentœ],œdataTypeœ:œCustomComponentœ,œidœ:œCustomComponent-h0NSIœ}\",\"target\":\"RecursiveCharacterTextSplitter-1eaOX\",\"targetHandle\":\"{œfieldNameœ:œdocumentsœ,œidœ:œRecursiveCharacterTextSplitter-1eaOXœ,œinputTypesœ:null,œtypeœ:œDocumentœ}\",\"style\":{\"stroke\":\"#555\"},\"className\":\"stroke-gray-900 stroke-connection\",\"animated\":false,\"id\":\"reactflow__edge-CustomComponent-h0NSI{œbaseClassesœ:[œDocumentœ],œdataTypeœ:œCustomComponentœ,œidœ:œCustomComponent-h0NSIœ}-RecursiveCharacterTextSplitter-1eaOX{œfieldNameœ:œdocumentsœ,œidœ:œRecursiveCharacterTextSplitter-1eaOXœ,œinputTypesœ:null,œtypeœ:œDocumentœ}\",\"data\":{\"sourceHandle\":{\"baseClasses\":[\"Document\"],\"dataType\":\"CustomComponent\",\"id\":\"CustomComponent-h0NSI\"},\"targetHandle\":{\"fieldName\":\"documents\",\"id\":\"RecursiveCharacterTextSplitter-1eaOX\",\"inputTypes\":null,\"type\":\"Document\"}},\"selected\":false},{\"source\":\"OpenAIEmbeddings-cduOO\",\"sourceHandle\":\"{œbaseClassesœ:[œEmbeddingsœ,œOpenAIEmbeddingsœ],œdataTypeœ:œOpenAIEmbeddingsœ,œidœ:œOpenAIEmbeddings-cduOOœ}\",\"target\":\"Chroma-gVhy7\",\"targetHandle\":\"{œfieldNameœ:œembeddingœ,œidœ:œChroma-gVhy7œ,œinputTypesœ:null,œtypeœ:œEmbeddingsœ}\",\"style\":{\"stroke\":\"#555\"},\"className\":\"stroke-gray-900 stroke-connection\",\"animated\":false,\"id\":\"reactflow__edge-OpenAIEmbeddings-cduOO{œbaseClassesœ:[œEmbeddingsœ,œOpenAIEmbeddingsœ],œdataTypeœ:œOpenAIEmbeddingsœ,œidœ:œOpenAIEmbeddings-cduOOœ}-Chroma-gVhy7{œfieldNameœ:œembeddingœ,œidœ:œChroma-gVhy7œ,œinputTypesœ:null,œtypeœ:œEmbeddingsœ}\",\"data\":{\"sourceHandle\":{\"baseClasses\":[\"Embeddings\",\"OpenAIEmbeddings\"],\"dataType\":\"OpenAIEmbeddings\",\"id\":\"OpenAIEmbeddings-cduOO\"},\"targetHandle\":{\"fieldName\":\"embedding\",\"id\":\"Chroma-gVhy7\",\"inputTypes\":null,\"type\":\"Embeddings\"}}},{\"source\":\"RecursiveCharacterTextSplitter-1eaOX\",\"sourceHandle\":\"{œbaseClassesœ:[œDocumentœ],œdataTypeœ:œRecursiveCharacterTextSplitterœ,œidœ:œRecursiveCharacterTextSplitter-1eaOXœ}\",\"target\":\"Chroma-gVhy7\",\"targetHandle\":\"{œfieldNameœ:œdocumentsœ,œidœ:œChroma-gVhy7œ,œinputTypesœ:null,œtypeœ:œDocumentœ}\",\"style\":{\"stroke\":\"#555\"},\"className\":\"stroke-gray-900 stroke-connection\",\"animated\":false,\"id\":\"reactflow__edge-RecursiveCharacterTextSplitter-1eaOX{œbaseClassesœ:[œDocumentœ],œdataTypeœ:œRecursiveCharacterTextSplitterœ,œidœ:œRecursiveCharacterTextSplitter-1eaOXœ}-Chroma-gVhy7{œfieldNameœ:œdocumentsœ,œidœ:œChroma-gVhy7œ,œinputTypesœ:null,œtypeœ:œDocumentœ}\",\"data\":{\"sourceHandle\":{\"baseClasses\":[\"Document\"],\"dataType\":\"RecursiveCharacterTextSplitter\",\"id\":\"RecursiveCharacterTextSplitter-1eaOX\"},\"targetHandle\":{\"fieldName\":\"documents\",\"id\":\"Chroma-gVhy7\",\"inputTypes\":null,\"type\":\"Document\"}}},{\"source\":\"ChatOpenAI-q61Y2\",\"sourceHandle\":\"{œbaseClassesœ:[œChatOpenAIœ,œBaseChatModelœ,œBaseLanguageModelœ,œBaseLLMœ],œdataTypeœ:œChatOpenAIœ,œidœ:œChatOpenAI-q61Y2œ}\",\"target\":\"CombineDocsChain-yk0JF\",\"targetHandle\":\"{œfieldNameœ:œllmœ,œidœ:œCombineDocsChain-yk0JFœ,œinputTypesœ:null,œtypeœ:œBaseLanguageModelœ}\",\"style\":{\"stroke\":\"#555\"},\"className\":\"stroke-gray-900 stroke-connection\",\"animated\":false,\"id\":\"reactflow__edge-ChatOpenAI-q61Y2{œbaseClassesœ:[œChatOpenAIœ,œBaseChatModelœ,œBaseLanguageModelœ,œBaseLLMœ],œdataTypeœ:œChatOpenAIœ,œidœ:œChatOpenAI-q61Y2œ}-CombineDocsChain-yk0JF{œfieldNameœ:œllmœ,œidœ:œCombineDocsChain-yk0JFœ,œinputTypesœ:null,œtypeœ:œBaseLanguageModelœ}\",\"data\":{\"sourceHandle\":{\"baseClasses\":[\"ChatOpenAI\",\"BaseChatModel\",\"BaseLanguageModel\",\"BaseLLM\"],\"dataType\":\"ChatOpenAI\",\"id\":\"ChatOpenAI-q61Y2\"},\"targetHandle\":{\"fieldName\":\"llm\",\"id\":\"CombineDocsChain-yk0JF\",\"inputTypes\":null,\"type\":\"BaseLanguageModel\"}}},{\"source\":\"CombineDocsChain-yk0JF\",\"sourceHandle\":\"{œbaseClassesœ:[œBaseCombineDocumentsChainœ,œfunctionœ],œdataTypeœ:œCombineDocsChainœ,œidœ:œCombineDocsChain-yk0JFœ}\",\"target\":\"RetrievalQA-4PmTB\",\"targetHandle\":\"{œfieldNameœ:œcombine_documents_chainœ,œidœ:œRetrievalQA-4PmTBœ,œinputTypesœ:null,œtypeœ:œBaseCombineDocumentsChainœ}\",\"style\":{\"stroke\":\"#555\"},\"className\":\"stroke-gray-900 stroke-connection\",\"animated\":false,\"id\":\"reactflow__edge-CombineDocsChain-yk0JF{œbaseClassesœ:[œBaseCombineDocumentsChainœ,œfunctionœ],œdataTypeœ:œCombineDocsChainœ,œidœ:œCombineDocsChain-yk0JFœ}-RetrievalQA-4PmTB{œfieldNameœ:œcombine_documents_chainœ,œidœ:œRetrievalQA-4PmTBœ,œinputTypesœ:null,œtypeœ:œBaseCombineDocumentsChainœ}\",\"data\":{\"sourceHandle\":{\"baseClasses\":[\"BaseCombineDocumentsChain\",\"function\"],\"dataType\":\"CombineDocsChain\",\"id\":\"CombineDocsChain-yk0JF\"},\"targetHandle\":{\"fieldName\":\"combine_documents_chain\",\"id\":\"RetrievalQA-4PmTB\",\"inputTypes\":null,\"type\":\"BaseCombineDocumentsChain\"}}},{\"source\":\"Chroma-gVhy7\",\"sourceHandle\":\"{œbaseClassesœ:[œVectorStoreœ,œChromaœ,œBaseRetrieverœ,œVectorStoreRetrieverœ],œdataTypeœ:œChromaœ,œidœ:œChroma-gVhy7œ}\",\"target\":\"RetrievalQA-4PmTB\",\"targetHandle\":\"{œfieldNameœ:œretrieverœ,œidœ:œRetrievalQA-4PmTBœ,œinputTypesœ:null,œtypeœ:œBaseRetrieverœ}\",\"style\":{\"stroke\":\"#555\"},\"className\":\"stroke-gray-900 stroke-connection\",\"animated\":false,\"id\":\"reactflow__edge-Chroma-gVhy7{œbaseClassesœ:[œVectorStoreœ,œChromaœ,œBaseRetrieverœ,œVectorStoreRetrieverœ],œdataTypeœ:œChromaœ,œidœ:œChroma-gVhy7œ}-RetrievalQA-4PmTB{œfieldNameœ:œretrieverœ,œidœ:œRetrievalQA-4PmTBœ,œinputTypesœ:null,œtypeœ:œBaseRetrieverœ}\",\"data\":{\"sourceHandle\":{\"baseClasses\":[\"VectorStore\",\"Chroma\",\"BaseRetriever\",\"VectorStoreRetriever\"],\"dataType\":\"Chroma\",\"id\":\"Chroma-gVhy7\"},\"targetHandle\":{\"fieldName\":\"retriever\",\"id\":\"RetrievalQA-4PmTB\",\"inputTypes\":null,\"type\":\"BaseRetriever\"}}}],\"viewport\":{\"x\":189.54413265004274,\"y\":259.89949657174975,\"zoom\":0.291027508374689}},\"is_component\":false,\"updated_at\":\"2023-12-04T22:59:08.830269\",\"folder\":null,\"id\":\"bc7eb94b-6fc6-49cb-9b19-35347ba51afa\",\"user_id\":\"d253bfba-6368-44dc-85f7-0d6da9e45968\"},{\"name\":\"Web Scraper - Content & Links\",\"description\":\"Fetch and parse text and links from a given URL.\",\"data\":{\"nodes\":[{\"width\":384,\"height\":338,\"id\":\"LLMChain-H7PBy\",\"type\":\"genericNode\",\"position\":{\"x\":1682.494010974207,\"y\":275.5701585623092},\"data\":{\"type\":\"LLMChain\",\"node\":{\"template\":{\"code\":{\"dynamic\":true,\"required\":true,\"placeholder\":\"\",\"show\":false,\"multiline\":true,\"value\":\"from typing import Callable, Optional, Union\\n\\nfrom langchain.chains import LLMChain\\n\\nfrom langflow import CustomComponent\\nfrom langflow.field_typing import (\\n BaseLanguageModel,\\n BaseMemory,\\n BasePromptTemplate,\\n Chain,\\n)\\n\\n\\nclass LLMChainComponent(CustomComponent):\\n display_name = \\\"LLMChain\\\"\\n description = \\\"Chain to run queries against LLMs\\\"\\n\\n def build_config(self):\\n return {\\n \\\"prompt\\\": {\\\"display_name\\\": \\\"Prompt\\\"},\\n \\\"llm\\\": {\\\"display_name\\\": \\\"LLM\\\"},\\n \\\"memory\\\": {\\\"display_name\\\": \\\"Memory\\\"},\\n \\\"code\\\": {\\\"show\\\": False},\\n }\\n\\n def build(\\n self,\\n prompt: BasePromptTemplate,\\n llm: BaseLanguageModel,\\n memory: Optional[BaseMemory] = None,\\n ) -> Union[Chain, Callable]:\\n return LLMChain(prompt=prompt, llm=llm, memory=memory)\\n\",\"password\":false,\"name\":\"code\",\"advanced\":false,\"type\":\"code\",\"list\":false},\"_type\":\"CustomComponent\",\"llm\":{\"required\":true,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"password\":false,\"name\":\"llm\",\"display_name\":\"LLM\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"BaseLanguageModel\",\"list\":false},\"memory\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"password\":false,\"name\":\"memory\",\"display_name\":\"Memory\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"BaseMemory\",\"list\":false},\"prompt\":{\"required\":true,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"password\":false,\"name\":\"prompt\",\"display_name\":\"Prompt\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"BasePromptTemplate\",\"list\":false}},\"description\":\"Chain to run queries against LLMs\",\"base_classes\":[\"Chain\",\"Callable\"],\"display_name\":\"LLMChain\",\"custom_fields\":{\"llm\":null,\"memory\":null,\"prompt\":null},\"output_types\":[\"LLMChain\"],\"documentation\":\"\",\"beta\":true,\"error\":null},\"id\":\"LLMChain-H7PBy\"},\"selected\":false,\"positionAbsolute\":{\"x\":1682.494010974207,\"y\":275.5701585623092},\"dragging\":false},{\"width\":384,\"height\":626,\"id\":\"ChatOpenAI-VSAdc\",\"type\":\"genericNode\",\"position\":{\"x\":1002.4263147022411,\"y\":-198.2305006886859},\"data\":{\"type\":\"ChatOpenAI\",\"node\":{\"template\":{\"callbacks\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"password\":false,\"name\":\"callbacks\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"langchain_core.callbacks.base.BaseCallbackHandler\",\"list\":true},\"async_client\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"password\":false,\"name\":\"async_client\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"Any\",\"list\":false},\"cache\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"password\":false,\"name\":\"cache\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"bool\",\"list\":false},\"client\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"password\":false,\"name\":\"client\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"Any\",\"list\":false},\"default_headers\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"password\":false,\"name\":\"default_headers\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"dict\",\"list\":false},\"default_query\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"password\":false,\"name\":\"default_query\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"dict\",\"list\":false},\"http_client\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"password\":false,\"name\":\"http_client\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"Any\",\"list\":false},\"max_retries\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"value\":2,\"password\":false,\"name\":\"max_retries\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"int\",\"list\":false},\"max_tokens\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"password\":true,\"name\":\"max_tokens\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"int\",\"list\":false,\"value\":\"\"},\"metadata\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"password\":false,\"name\":\"metadata\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"dict\",\"list\":false},\"model_kwargs\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"password\":false,\"name\":\"model_kwargs\",\"advanced\":true,\"dynamic\":false,\"info\":\"\",\"type\":\"dict\",\"list\":false},\"model_name\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"value\":\"gpt-4-1106-preview\",\"password\":false,\"options\":[\"gpt-4-1106-preview\",\"gpt-4\",\"gpt-4-32k\",\"gpt-3.5-turbo\",\"gpt-3.5-turbo-16k\"],\"name\":\"model_name\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"str\",\"list\":true},\"n\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"value\":1,\"password\":false,\"name\":\"n\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"int\",\"list\":false},\"openai_api_base\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"password\":false,\"name\":\"openai_api_base\",\"display_name\":\"OpenAI API Base\",\"advanced\":false,\"dynamic\":false,\"info\":\"\\nThe base URL of the OpenAI API. Defaults to https://api.openai.com/v1.\\n\\nYou can change this to use other APIs like JinaChat, LocalAI and Prem.\\n\",\"type\":\"str\",\"list\":false},\"openai_api_key\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"value\":\"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\",\"password\":true,\"name\":\"openai_api_key\",\"display_name\":\"OpenAI API Key\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"str\",\"list\":false},\"openai_organization\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"password\":false,\"name\":\"openai_organization\",\"display_name\":\"OpenAI Organization\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"str\",\"list\":false},\"openai_proxy\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"password\":false,\"name\":\"openai_proxy\",\"display_name\":\"OpenAI Proxy\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"str\",\"list\":false},\"request_timeout\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"password\":false,\"name\":\"request_timeout\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"float\",\"list\":false},\"streaming\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"value\":false,\"password\":false,\"name\":\"streaming\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"bool\",\"list\":false},\"tags\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"password\":false,\"name\":\"tags\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"str\",\"list\":true},\"temperature\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"value\":\"0.1\",\"password\":false,\"name\":\"temperature\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"float\",\"list\":false},\"tiktoken_model_name\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"password\":false,\"name\":\"tiktoken_model_name\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"str\",\"list\":false},\"verbose\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"value\":false,\"password\":false,\"name\":\"verbose\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"bool\",\"list\":false},\"_type\":\"ChatOpenAI\"},\"description\":\"`OpenAI` Chat large language models API.\",\"base_classes\":[\"BaseLanguageModel\",\"ChatOpenAI\",\"BaseChatModel\",\"BaseLLM\"],\"display_name\":\"ChatOpenAI\",\"custom_fields\":{},\"output_types\":[],\"documentation\":\"https://python.langchain.com/docs/modules/model_io/models/chat/integrations/openai\",\"beta\":false,\"error\":null},\"id\":\"ChatOpenAI-VSAdc\"},\"selected\":false,\"dragging\":false,\"positionAbsolute\":{\"x\":1002.4263147022411,\"y\":-198.2305006886859}},{\"width\":384,\"height\":374,\"data\":{\"id\":\"GroupNode-WXPMk\",\"type\":\"PromptTemplate\",\"node\":{\"output_types\":[],\"display_name\":\"Web Scraper\",\"documentation\":\"\",\"base_classes\":[\"StringPromptTemplate\",\"BasePromptTemplate\",\"PromptTemplate\"],\"description\":\"Fetch and parse text and links from a given URL.\",\"template\":{\"code_CustomComponent-f6nOg\":{\"dynamic\":true,\"required\":true,\"placeholder\":\"\",\"show\":false,\"multiline\":true,\"value\":\"from langflow import CustomComponent\\nfrom langflow.field_typing import Data\\nimport html2text\\n\\nclass ConvertHTMLToMarkdown(CustomComponent):\\n display_name: str = \\\"HTML to Markdown\\\"\\n description: str = \\\"Converts HTML content to Markdown format.\\\"\\n\\n def build(self, html_content: Data, ignore_links: bool = False) -> str:\\n converter = html2text.HTML2Text()\\n converter.ignore_links = ignore_links\\n markdown_text = converter.handle(html_content)\\n self.status = markdown_text\\n return markdown_text\\n\",\"password\":false,\"name\":\"code\",\"advanced\":false,\"type\":\"code\",\"list\":false,\"proxy\":{\"id\":\"CustomComponent-f6nOg\",\"field\":\"code\"},\"display_name\":\"Code\"},\"ignore_links_CustomComponent-f6nOg\":{\"required\":true,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"value\":false,\"password\":false,\"name\":\"ignore_links\",\"display_name\":\"ignore_links\",\"advanced\":true,\"dynamic\":false,\"info\":\"\",\"type\":\"bool\",\"list\":false,\"proxy\":{\"id\":\"CustomComponent-f6nOg\",\"field\":\"ignore_links\"}},\"code_CustomComponent-FGzJJ\":{\"dynamic\":true,\"required\":true,\"placeholder\":\"\",\"show\":false,\"multiline\":true,\"value\":\"from langflow import CustomComponent\\nfrom langflow.field_typing import Data\\nimport requests\\n\\nclass FetchHTMLContent(CustomComponent):\\n display_name: str = \\\"Fetch HTML\\\"\\n description: str = \\\"Fetches HTML content from a specified URL.\\\"\\n \\n def build_config(self):\\n return {\\\"url\\\": {\\\"input_types\\\": [\\\"Data\\\", \\\"str\\\"]}} \\n\\n def build(self, url: str) -> Data:\\n response = requests.get(url)\\n self.status = str(response) + \\\"\\\\n\\\\n\\\" + response.text\\n return response.text\\n\",\"password\":false,\"name\":\"code\",\"advanced\":false,\"type\":\"code\",\"list\":false,\"proxy\":{\"id\":\"CustomComponent-FGzJJ\",\"field\":\"code\"},\"display_name\":\"Code\"},\"code_CustomComponent-0XtUN\":{\"dynamic\":true,\"required\":true,\"placeholder\":\"\",\"show\":false,\"multiline\":true,\"value\":\"from bs4 import BeautifulSoup\\nfrom langflow import CustomComponent\\nfrom langflow.field_typing import Data\\n\\nclass ParseHTMLContent(CustomComponent):\\n display_name: str = \\\"Parse HTML\\\"\\n description: str = \\\"Parses HTML content using Beautiful Soup.\\\"\\n\\n def build(self, html_content: Data) -> Data:\\n soup = BeautifulSoup(html_content, 'html.parser')\\n self.status = soup\\n return soup\\n\",\"password\":false,\"name\":\"code\",\"advanced\":false,\"type\":\"code\",\"list\":false,\"proxy\":{\"id\":\"CustomComponent-0XtUN\",\"field\":\"code\"},\"display_name\":\"Code\"},\"code_CustomComponent-ODIcp\":{\"dynamic\":true,\"required\":true,\"placeholder\":\"\",\"show\":false,\"multiline\":true,\"value\":\"from langflow import CustomComponent\\nfrom langflow.field_typing import Data\\n\\nclass ExtractHyperlinks(CustomComponent):\\n display_name: str = \\\"Extract Hyperlinks\\\"\\n description: str = \\\"Extracts hyperlinks from parsed HTML content.\\\"\\n\\n def build(self, soup: Data) -> list:\\n links = [link.get('href') for link in soup.find_all('a')]\\n self.status = links\\n return links\\n\",\"password\":false,\"name\":\"code\",\"advanced\":false,\"type\":\"code\",\"list\":false,\"proxy\":{\"id\":\"CustomComponent-ODIcp\",\"field\":\"code\"},\"display_name\":\"Code\"},\"output_parser_PromptTemplate-H9Udy\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"password\":false,\"name\":\"output_parser\",\"advanced\":false,\"dynamic\":true,\"info\":\"\",\"type\":\"BaseOutputParser\",\"list\":false,\"proxy\":{\"id\":\"PromptTemplate-H9Udy\",\"field\":\"output_parser\"},\"display_name\":\"Output Parser\"},\"input_types_PromptTemplate-H9Udy\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"password\":false,\"name\":\"input_types\",\"advanced\":true,\"dynamic\":true,\"info\":\"\",\"type\":\"dict\",\"list\":false,\"proxy\":{\"id\":\"PromptTemplate-H9Udy\",\"field\":\"input_types\"},\"display_name\":\"Input Types\"},\"input_variables_PromptTemplate-H9Udy\":{\"required\":true,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"password\":false,\"name\":\"input_variables\",\"advanced\":false,\"dynamic\":true,\"info\":\"\",\"type\":\"str\",\"list\":true,\"value\":[\"url\",\"html_markdown\",\"html_links\",\"query\"],\"proxy\":{\"id\":\"PromptTemplate-H9Udy\",\"field\":\"input_variables\"},\"display_name\":\"Input Variables\"},\"partial_variables_PromptTemplate-H9Udy\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"password\":false,\"name\":\"partial_variables\",\"advanced\":true,\"dynamic\":true,\"info\":\"\",\"type\":\"dict\",\"list\":false,\"proxy\":{\"id\":\"PromptTemplate-H9Udy\",\"field\":\"partial_variables\"},\"display_name\":\"Partial Variables\"},\"template_PromptTemplate-H9Udy\":{\"required\":true,\"placeholder\":\"\",\"show\":true,\"multiline\":true,\"password\":false,\"name\":\"template\",\"advanced\":true,\"dynamic\":true,\"info\":\"\",\"type\":\"prompt\",\"list\":false,\"value\":\"Below is the HTML content (as markdown) and hyperlinks extracted from {url}\\n\\n---\\n\\nContent:\\n\\n{html_markdown}\\n\\n---\\n\\nLinks:\\n\\n{html_links}\\n\\n---\\n\\nAnswer the user query as best as possible.\\n\\nUser query:\\n\\n{query}\\n\\nAnswer:\\n\",\"proxy\":{\"id\":\"PromptTemplate-H9Udy\",\"field\":\"template\"},\"display_name\":\"Template\"},\"template_format_PromptTemplate-H9Udy\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"value\":\"f-string\",\"password\":false,\"name\":\"template_format\",\"advanced\":true,\"dynamic\":true,\"info\":\"\",\"type\":\"str\",\"list\":false,\"proxy\":{\"id\":\"PromptTemplate-H9Udy\",\"field\":\"template_format\"},\"display_name\":\"Template Format\"},\"validate_template_PromptTemplate-H9Udy\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"value\":false,\"password\":false,\"name\":\"validate_template\",\"advanced\":true,\"dynamic\":true,\"info\":\"\",\"type\":\"bool\",\"list\":false,\"proxy\":{\"id\":\"PromptTemplate-H9Udy\",\"field\":\"validate_template\"},\"display_name\":\"Validate Template\"},\"query_PromptTemplate-H9Udy\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":true,\"value\":\"give me links\",\"password\":false,\"name\":\"query\",\"display_name\":\"query\",\"advanced\":false,\"input_types\":[\"Document\",\"BaseOutputParser\"],\"dynamic\":false,\"info\":\"\",\"type\":\"str\",\"list\":false,\"proxy\":{\"id\":\"PromptTemplate-H9Udy\",\"field\":\"query\"}},\"code_CustomComponent-OACE0\":{\"dynamic\":true,\"required\":true,\"placeholder\":\"\",\"show\":false,\"multiline\":true,\"value\":\"from langflow import CustomComponent\\nfrom langflow.field_typing import Data\\nimport requests\\n\\nclass FetchHTMLContent(CustomComponent):\\n display_name: str = \\\"URL Input\\\"\\n\\n def build(self, url: str) -> str:\\n return url\\n\",\"password\":false,\"name\":\"code\",\"advanced\":false,\"type\":\"code\",\"list\":false,\"proxy\":{\"id\":\"CustomComponent-OACE0\",\"field\":\"code\"},\"display_name\":\"Code\"},\"url_CustomComponent-OACE0\":{\"required\":true,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"password\":false,\"name\":\"url\",\"display_name\":\"url\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"str\",\"list\":false,\"proxy\":{\"id\":\"CustomComponent-OACE0\",\"field\":\"url\"},\"value\":\"https://paperswithcode.com/\"},\"code_CustomComponent-whsQ5\":{\"dynamic\":true,\"required\":true,\"placeholder\":\"\",\"show\":false,\"multiline\":true,\"value\":\"from langflow import CustomComponent\\n\\nclass ListToMarkdownBullets(CustomComponent):\\n display_name: str = \\\"List to Bullets\\\"\\n description: str = \\\"Converts a Python list into Markdown bullet points.\\\"\\n\\n def build(self, items: list) -> str:\\n markdown_bullets = '\\\\n'.join(f'* {item}' for item in items)\\n return markdown_bullets\\n\",\"password\":false,\"name\":\"code\",\"advanced\":false,\"type\":\"code\",\"list\":false,\"proxy\":{\"id\":\"CustomComponent-whsQ5\",\"field\":\"code\"},\"display_name\":\"Code\"}},\"flow\":{\"data\":{\"nodes\":[{\"width\":384,\"height\":405,\"id\":\"CustomComponent-f6nOg\",\"type\":\"genericNode\",\"position\":{\"x\":665.2835942536854,\"y\":-371.7823429271119},\"data\":{\"type\":\"CustomComponent\",\"node\":{\"template\":{\"code\":{\"dynamic\":true,\"required\":true,\"placeholder\":\"\",\"show\":true,\"multiline\":true,\"value\":\"from langflow import CustomComponent\\nfrom langflow.field_typing import Data\\nimport html2text\\n\\nclass ConvertHTMLToMarkdown(CustomComponent):\\n display_name: str = \\\"HTML to Markdown\\\"\\n description: str = \\\"Converts HTML content to Markdown format.\\\"\\n\\n def build(self, html_content: Data, ignore_links: bool = False) -> str:\\n converter = html2text.HTML2Text()\\n converter.ignore_links = ignore_links\\n markdown_text = converter.handle(html_content)\\n self.status = markdown_text\\n return markdown_text\\n\",\"password\":false,\"name\":\"code\",\"advanced\":false,\"type\":\"code\",\"list\":false},\"_type\":\"CustomComponent\",\"html_content\":{\"required\":true,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"password\":false,\"name\":\"html_content\",\"display_name\":\"html_content\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"Data\",\"list\":false},\"ignore_links\":{\"required\":true,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"value\":false,\"password\":false,\"name\":\"ignore_links\",\"display_name\":\"ignore_links\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"bool\",\"list\":false}},\"description\":\"Converts HTML content to Markdown format.\",\"base_classes\":[\"str\"],\"display_name\":\"HTML to Markdown\",\"custom_fields\":{\"html_content\":null,\"ignore_links\":null},\"output_types\":[\"str\"],\"documentation\":\"\",\"beta\":true,\"error\":null},\"id\":\"CustomComponent-f6nOg\"},\"selected\":true,\"positionAbsolute\":{\"x\":665.2835942536854,\"y\":-371.7823429271119},\"dragging\":false},{\"width\":384,\"height\":375,\"id\":\"CustomComponent-FGzJJ\",\"type\":\"genericNode\",\"position\":{\"x\":-464.4553400967736,\"y\":-225.62715888255525},\"data\":{\"type\":\"CustomComponent\",\"node\":{\"template\":{\"code\":{\"dynamic\":true,\"required\":true,\"placeholder\":\"\",\"show\":true,\"multiline\":true,\"value\":\"from langflow import CustomComponent\\nfrom langflow.field_typing import Data\\nimport requests\\n\\nclass FetchHTMLContent(CustomComponent):\\n display_name: str = \\\"Fetch HTML\\\"\\n description: str = \\\"Fetches HTML content from a specified URL.\\\"\\n \\n def build_config(self):\\n return {\\\"url\\\": {\\\"input_types\\\": [\\\"Data\\\", \\\"str\\\"]}} \\n\\n def build(self, url: str) -> Data:\\n response = requests.get(url)\\n self.status = str(response) + \\\"\\\\n\\\\n\\\" + response.text\\n return response.text\\n\",\"password\":false,\"name\":\"code\",\"advanced\":false,\"type\":\"code\",\"list\":false},\"_type\":\"CustomComponent\",\"url\":{\"required\":true,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"password\":false,\"name\":\"url\",\"display_name\":\"url\",\"advanced\":false,\"input_types\":[\"Data\",\"str\"],\"dynamic\":false,\"info\":\"\",\"type\":\"str\",\"list\":false,\"value\":\"\"}},\"description\":\"Fetches HTML content from a specified URL.\",\"base_classes\":[\"Data\"],\"display_name\":\"Fetch HTML\",\"custom_fields\":{\"url\":null},\"output_types\":[\"Data\"],\"documentation\":\"\",\"beta\":true,\"error\":null},\"id\":\"CustomComponent-FGzJJ\"},\"selected\":true,\"dragging\":false,\"positionAbsolute\":{\"x\":-464.4553400967736,\"y\":-225.62715888255525}},{\"width\":384,\"height\":329,\"id\":\"CustomComponent-0XtUN\",\"type\":\"genericNode\",\"position\":{\"x\":214.00059169497604,\"y\":177.27071061129823},\"data\":{\"type\":\"CustomComponent\",\"node\":{\"template\":{\"code\":{\"dynamic\":true,\"required\":true,\"placeholder\":\"\",\"show\":true,\"multiline\":true,\"value\":\"from bs4 import BeautifulSoup\\nfrom langflow import CustomComponent\\nfrom langflow.field_typing import Data\\n\\nclass ParseHTMLContent(CustomComponent):\\n display_name: str = \\\"Parse HTML\\\"\\n description: str = \\\"Parses HTML content using Beautiful Soup.\\\"\\n\\n def build(self, html_content: Data) -> Data:\\n soup = BeautifulSoup(html_content, 'html.parser')\\n self.status = soup\\n return soup\\n\",\"password\":false,\"name\":\"code\",\"advanced\":false,\"type\":\"code\",\"list\":false},\"_type\":\"CustomComponent\",\"html_content\":{\"required\":true,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"password\":false,\"name\":\"html_content\",\"display_name\":\"html_content\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"Data\",\"list\":false}},\"description\":\"Parses HTML content using Beautiful Soup.\",\"base_classes\":[\"Data\"],\"display_name\":\"Parse HTML\",\"custom_fields\":{\"html_content\":null},\"output_types\":[\"Data\"],\"documentation\":\"\",\"beta\":true,\"error\":null},\"id\":\"CustomComponent-0XtUN\"},\"selected\":true,\"dragging\":false,\"positionAbsolute\":{\"x\":214.00059169497604,\"y\":177.27071061129823}},{\"width\":384,\"height\":329,\"id\":\"CustomComponent-ODIcp\",\"type\":\"genericNode\",\"position\":{\"x\":845.0502195222412,\"y\":366.54344452019404},\"data\":{\"type\":\"CustomComponent\",\"node\":{\"template\":{\"code\":{\"dynamic\":true,\"required\":true,\"placeholder\":\"\",\"show\":true,\"multiline\":true,\"value\":\"from langflow import CustomComponent\\nfrom langflow.field_typing import Data\\n\\nclass ExtractHyperlinks(CustomComponent):\\n display_name: str = \\\"Extract Hyperlinks\\\"\\n description: str = \\\"Extracts hyperlinks from parsed HTML content.\\\"\\n\\n def build(self, soup: Data) -> list:\\n links = [link.get('href') for link in soup.find_all('a')]\\n self.status = links\\n return links\\n\",\"password\":false,\"name\":\"code\",\"advanced\":false,\"type\":\"code\",\"list\":false},\"_type\":\"CustomComponent\",\"soup\":{\"required\":true,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"password\":false,\"name\":\"soup\",\"display_name\":\"soup\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"Data\",\"list\":false}},\"description\":\"Extracts hyperlinks from parsed HTML content.\",\"base_classes\":[\"list\"],\"display_name\":\"Extract Hyperlinks\",\"custom_fields\":{\"soup\":null},\"output_types\":[\"list\"],\"documentation\":\"\",\"beta\":true,\"error\":null},\"id\":\"CustomComponent-ODIcp\"},\"selected\":true,\"positionAbsolute\":{\"x\":845.0502195222412,\"y\":366.54344452019404},\"dragging\":false},{\"width\":384,\"height\":657,\"id\":\"PromptTemplate-H9Udy\",\"type\":\"genericNode\",\"position\":{\"x\":2230.389721706283,\"y\":584.4905083765256},\"data\":{\"type\":\"PromptTemplate\",\"node\":{\"template\":{\"output_parser\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"password\":false,\"name\":\"output_parser\",\"advanced\":false,\"dynamic\":true,\"info\":\"\",\"type\":\"BaseOutputParser\",\"list\":false},\"input_types\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"password\":false,\"name\":\"input_types\",\"advanced\":false,\"dynamic\":true,\"info\":\"\",\"type\":\"dict\",\"list\":false},\"input_variables\":{\"required\":true,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"password\":false,\"name\":\"input_variables\",\"advanced\":false,\"dynamic\":true,\"info\":\"\",\"type\":\"str\",\"list\":true,\"value\":[\"url\",\"html_markdown\",\"html_links\",\"query\"]},\"partial_variables\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"password\":false,\"name\":\"partial_variables\",\"advanced\":false,\"dynamic\":true,\"info\":\"\",\"type\":\"dict\",\"list\":false},\"template\":{\"required\":true,\"placeholder\":\"\",\"show\":true,\"multiline\":true,\"password\":false,\"name\":\"template\",\"advanced\":false,\"dynamic\":true,\"info\":\"\",\"type\":\"prompt\",\"list\":false,\"value\":\"Below is the HTML content (as markdown) and hyperlinks extracted from {url}\\n\\n---\\n\\nContent:\\n\\n{html_markdown}\\n\\n---\\n\\nLinks:\\n\\n{html_links}\\n\\n---\\n\\nAnswer the user query as best as possible.\\n\\nUser query:\\n\\n{query}\\n\\nAnswer:\\n\"},\"template_format\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"value\":\"f-string\",\"password\":false,\"name\":\"template_format\",\"advanced\":false,\"dynamic\":true,\"info\":\"\",\"type\":\"str\",\"list\":false},\"validate_template\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"value\":false,\"password\":false,\"name\":\"validate_template\",\"advanced\":false,\"dynamic\":true,\"info\":\"\",\"type\":\"bool\",\"list\":false},\"_type\":\"PromptTemplate\",\"url\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":true,\"value\":\"\",\"password\":false,\"name\":\"url\",\"display_name\":\"url\",\"advanced\":false,\"input_types\":[\"Document\",\"BaseOutputParser\"],\"dynamic\":false,\"info\":\"\",\"type\":\"str\",\"list\":false},\"html_markdown\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":true,\"value\":\"\",\"password\":false,\"name\":\"html_markdown\",\"display_name\":\"html_markdown\",\"advanced\":false,\"input_types\":[\"Document\",\"BaseOutputParser\"],\"dynamic\":false,\"info\":\"\",\"type\":\"str\",\"list\":false},\"html_links\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":true,\"value\":\"\",\"password\":false,\"name\":\"html_links\",\"display_name\":\"html_links\",\"advanced\":false,\"input_types\":[\"Document\",\"BaseOutputParser\"],\"dynamic\":false,\"info\":\"\",\"type\":\"str\",\"list\":false},\"query\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":true,\"value\":\"\",\"password\":false,\"name\":\"query\",\"display_name\":\"query\",\"advanced\":false,\"input_types\":[\"Document\",\"BaseOutputParser\"],\"dynamic\":false,\"info\":\"\",\"type\":\"str\",\"list\":false}},\"description\":\"A prompt template for a language model.\",\"base_classes\":[\"StringPromptTemplate\",\"BasePromptTemplate\",\"PromptTemplate\"],\"name\":\"\",\"display_name\":\"PromptTemplate\",\"documentation\":\"https://python.langchain.com/docs/modules/model_io/prompts/prompt_templates/\",\"custom_fields\":{\"\":[\"url\",\"html_markdown\",\"html_links\",\"query\"]},\"output_types\":[],\"full_path\":null,\"field_formatters\":{},\"beta\":false,\"error\":null},\"id\":\"PromptTemplate-H9Udy\"},\"selected\":true,\"positionAbsolute\":{\"x\":2230.389721706283,\"y\":584.4905083765256},\"dragging\":false},{\"width\":384,\"height\":347,\"id\":\"CustomComponent-OACE0\",\"type\":\"genericNode\",\"position\":{\"x\":-1155.9497945157625,\"y\":198.13583204151553},\"data\":{\"type\":\"CustomComponent\",\"node\":{\"template\":{\"code\":{\"dynamic\":true,\"required\":true,\"placeholder\":\"\",\"show\":true,\"multiline\":true,\"value\":\"from langflow import CustomComponent\\nfrom langflow.field_typing import Data\\nimport requests\\n\\nclass FetchHTMLContent(CustomComponent):\\n display_name: str = \\\"URL Input\\\"\\n\\n def build(self, url: str) -> str:\\n return url\\n\",\"password\":false,\"name\":\"code\",\"advanced\":false,\"type\":\"code\",\"list\":false},\"_type\":\"CustomComponent\",\"url\":{\"required\":true,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"password\":false,\"name\":\"url\",\"display_name\":\"url\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"str\",\"list\":false}},\"description\":null,\"base_classes\":[\"str\"],\"display_name\":\"URL Input\",\"custom_fields\":{\"url\":null},\"output_types\":[\"str\"],\"documentation\":\"\",\"beta\":true,\"error\":null},\"id\":\"CustomComponent-OACE0\"},\"selected\":true,\"positionAbsolute\":{\"x\":-1155.9497945157625,\"y\":198.13583204151553},\"dragging\":false},{\"width\":384,\"height\":329,\"id\":\"CustomComponent-whsQ5\",\"type\":\"genericNode\",\"position\":{\"x\":1396.5574076376327,\"y\":694.8308714574463},\"data\":{\"type\":\"CustomComponent\",\"node\":{\"template\":{\"code\":{\"dynamic\":true,\"required\":true,\"placeholder\":\"\",\"show\":true,\"multiline\":true,\"value\":\"from langflow import CustomComponent\\n\\nclass ListToMarkdownBullets(CustomComponent):\\n display_name: str = \\\"List to Bullets\\\"\\n description: str = \\\"Converts a Python list into Markdown bullet points.\\\"\\n\\n def build(self, items: list) -> str:\\n markdown_bullets = '\\\\n'.join(f'* {item}' for item in items)\\n return markdown_bullets\\n\",\"password\":false,\"name\":\"code\",\"advanced\":false,\"type\":\"code\",\"list\":false},\"_type\":\"CustomComponent\",\"items\":{\"required\":true,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"password\":false,\"name\":\"items\",\"display_name\":\"items\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"list\",\"list\":true}},\"description\":\"Converts a Python list into Markdown bullet points.\",\"base_classes\":[\"str\"],\"display_name\":\"List to Bullets\",\"custom_fields\":{\"items\":null},\"output_types\":[\"str\"],\"documentation\":\"\",\"beta\":true,\"error\":null},\"id\":\"CustomComponent-whsQ5\"},\"selected\":true,\"positionAbsolute\":{\"x\":1396.5574076376327,\"y\":694.8308714574463},\"dragging\":false}],\"edges\":[{\"source\":\"CustomComponent-FGzJJ\",\"sourceHandle\":\"{œbaseClassesœ:[œDataœ],œdataTypeœ:œCustomComponentœ,œidœ:œCustomComponent-FGzJJœ}\",\"target\":\"CustomComponent-f6nOg\",\"targetHandle\":\"{œfieldNameœ:œhtml_contentœ,œidœ:œCustomComponent-f6nOgœ,œinputTypesœ:null,œtypeœ:œDataœ}\",\"data\":{\"targetHandle\":{\"fieldName\":\"html_content\",\"id\":\"CustomComponent-f6nOg\",\"inputTypes\":null,\"type\":\"Data\"},\"sourceHandle\":{\"baseClasses\":[\"Data\"],\"dataType\":\"CustomComponent\",\"id\":\"CustomComponent-FGzJJ\"}},\"style\":{\"stroke\":\"#555\"},\"className\":\"stroke-foreground stroke-connection\",\"animated\":false,\"id\":\"reactflow__edge-CustomComponent-FGzJJ{œbaseClassesœ:[œDataœ],œdataTypeœ:œCustomComponentœ,œidœ:œCustomComponent-FGzJJœ}-CustomComponent-f6nOg{œfieldNameœ:œhtml_contentœ,œidœ:œCustomComponent-f6nOgœ,œinputTypesœ:null,œtypeœ:œDataœ}\",\"selected\":true},{\"source\":\"CustomComponent-FGzJJ\",\"sourceHandle\":\"{œbaseClassesœ:[œDataœ],œdataTypeœ:œCustomComponentœ,œidœ:œCustomComponent-FGzJJœ}\",\"target\":\"CustomComponent-0XtUN\",\"targetHandle\":\"{œfieldNameœ:œhtml_contentœ,œidœ:œCustomComponent-0XtUNœ,œinputTypesœ:null,œtypeœ:œDataœ}\",\"data\":{\"targetHandle\":{\"fieldName\":\"html_content\",\"id\":\"CustomComponent-0XtUN\",\"inputTypes\":null,\"type\":\"Data\"},\"sourceHandle\":{\"baseClasses\":[\"Data\"],\"dataType\":\"CustomComponent\",\"id\":\"CustomComponent-FGzJJ\"}},\"style\":{\"stroke\":\"#555\"},\"className\":\"stroke-foreground stroke-connection\",\"animated\":false,\"id\":\"reactflow__edge-CustomComponent-FGzJJ{œbaseClassesœ:[œDataœ],œdataTypeœ:œCustomComponentœ,œidœ:œCustomComponent-FGzJJœ}-CustomComponent-0XtUN{œfieldNameœ:œhtml_contentœ,œidœ:œCustomComponent-0XtUNœ,œinputTypesœ:null,œtypeœ:œDataœ}\",\"selected\":true},{\"source\":\"CustomComponent-0XtUN\",\"sourceHandle\":\"{œbaseClassesœ:[œDataœ],œdataTypeœ:œCustomComponentœ,œidœ:œCustomComponent-0XtUNœ}\",\"target\":\"CustomComponent-ODIcp\",\"targetHandle\":\"{œfieldNameœ:œsoupœ,œidœ:œCustomComponent-ODIcpœ,œinputTypesœ:null,œtypeœ:œDataœ}\",\"data\":{\"targetHandle\":{\"fieldName\":\"soup\",\"id\":\"CustomComponent-ODIcp\",\"inputTypes\":null,\"type\":\"Data\"},\"sourceHandle\":{\"baseClasses\":[\"Data\"],\"dataType\":\"CustomComponent\",\"id\":\"CustomComponent-0XtUN\"}},\"style\":{\"stroke\":\"#555\"},\"className\":\"stroke-foreground stroke-connection\",\"animated\":false,\"id\":\"reactflow__edge-CustomComponent-0XtUN{œbaseClassesœ:[œDataœ],œdataTypeœ:œCustomComponentœ,œidœ:œCustomComponent-0XtUNœ}-CustomComponent-ODIcp{œfieldNameœ:œsoupœ,œidœ:œCustomComponent-ODIcpœ,œinputTypesœ:null,œtypeœ:œDataœ}\",\"selected\":true},{\"source\":\"CustomComponent-OACE0\",\"sourceHandle\":\"{œbaseClassesœ:[œstrœ],œdataTypeœ:œCustomComponentœ,œidœ:œCustomComponent-OACE0œ}\",\"target\":\"CustomComponent-FGzJJ\",\"targetHandle\":\"{œfieldNameœ:œurlœ,œidœ:œCustomComponent-FGzJJœ,œinputTypesœ:[œDataœ,œstrœ],œtypeœ:œstrœ}\",\"data\":{\"targetHandle\":{\"fieldName\":\"url\",\"id\":\"CustomComponent-FGzJJ\",\"inputTypes\":[\"Data\",\"str\"],\"type\":\"str\"},\"sourceHandle\":{\"baseClasses\":[\"str\"],\"dataType\":\"CustomComponent\",\"id\":\"CustomComponent-OACE0\"}},\"style\":{\"stroke\":\"#555\"},\"className\":\"stroke-foreground stroke-connection\",\"animated\":false,\"id\":\"reactflow__edge-CustomComponent-OACE0{œbaseClassesœ:[œstrœ],œdataTypeœ:œCustomComponentœ,œidœ:œCustomComponent-OACE0œ}-CustomComponent-FGzJJ{œfieldNameœ:œurlœ,œidœ:œCustomComponent-FGzJJœ,œinputTypesœ:[œDataœ,œstrœ],œtypeœ:œstrœ}\",\"selected\":true},{\"source\":\"CustomComponent-OACE0\",\"sourceHandle\":\"{œbaseClassesœ:[œstrœ],œdataTypeœ:œCustomComponentœ,œidœ:œCustomComponent-OACE0œ}\",\"target\":\"PromptTemplate-H9Udy\",\"targetHandle\":\"{œfieldNameœ:œurlœ,œidœ:œPromptTemplate-H9Udyœ,œinputTypesœ:[œDocumentœ,œBaseOutputParserœ],œtypeœ:œstrœ}\",\"data\":{\"targetHandle\":{\"fieldName\":\"url\",\"id\":\"PromptTemplate-H9Udy\",\"inputTypes\":[\"Document\",\"BaseOutputParser\"],\"type\":\"str\"},\"sourceHandle\":{\"baseClasses\":[\"str\"],\"dataType\":\"CustomComponent\",\"id\":\"CustomComponent-OACE0\"}},\"style\":{\"stroke\":\"#555\"},\"className\":\"stroke-foreground stroke-connection\",\"animated\":false,\"id\":\"reactflow__edge-CustomComponent-OACE0{œbaseClassesœ:[œstrœ],œdataTypeœ:œCustomComponentœ,œidœ:œCustomComponent-OACE0œ}-PromptTemplate-H9Udy{œfieldNameœ:œurlœ,œidœ:œPromptTemplate-H9Udyœ,œinputTypesœ:[œDocumentœ,œBaseOutputParserœ],œtypeœ:œstrœ}\",\"selected\":true},{\"source\":\"CustomComponent-ODIcp\",\"sourceHandle\":\"{œbaseClassesœ:[œlistœ],œdataTypeœ:œCustomComponentœ,œidœ:œCustomComponent-ODIcpœ}\",\"target\":\"CustomComponent-whsQ5\",\"targetHandle\":\"{œfieldNameœ:œitemsœ,œidœ:œCustomComponent-whsQ5œ,œinputTypesœ:null,œtypeœ:œlistœ}\",\"data\":{\"targetHandle\":{\"fieldName\":\"items\",\"id\":\"CustomComponent-whsQ5\",\"inputTypes\":null,\"type\":\"list\"},\"sourceHandle\":{\"baseClasses\":[\"list\"],\"dataType\":\"CustomComponent\",\"id\":\"CustomComponent-ODIcp\"}},\"style\":{\"stroke\":\"#555\"},\"className\":\"stroke-foreground stroke-connection\",\"animated\":false,\"id\":\"reactflow__edge-CustomComponent-ODIcp{œbaseClassesœ:[œlistœ],œdataTypeœ:œCustomComponentœ,œidœ:œCustomComponent-ODIcpœ}-CustomComponent-whsQ5{œfieldNameœ:œitemsœ,œidœ:œCustomComponent-whsQ5œ,œinputTypesœ:null,œtypeœ:œlistœ}\",\"selected\":true},{\"source\":\"CustomComponent-whsQ5\",\"sourceHandle\":\"{œbaseClassesœ:[œstrœ],œdataTypeœ:œCustomComponentœ,œidœ:œCustomComponent-whsQ5œ}\",\"target\":\"PromptTemplate-H9Udy\",\"targetHandle\":\"{œfieldNameœ:œhtml_linksœ,œidœ:œPromptTemplate-H9Udyœ,œinputTypesœ:[œDocumentœ,œBaseOutputParserœ],œtypeœ:œstrœ}\",\"data\":{\"targetHandle\":{\"fieldName\":\"html_links\",\"id\":\"PromptTemplate-H9Udy\",\"inputTypes\":[\"Document\",\"BaseOutputParser\"],\"type\":\"str\"},\"sourceHandle\":{\"baseClasses\":[\"str\"],\"dataType\":\"CustomComponent\",\"id\":\"CustomComponent-whsQ5\"}},\"style\":{\"stroke\":\"#555\"},\"className\":\"stroke-foreground stroke-connection\",\"animated\":false,\"id\":\"reactflow__edge-CustomComponent-whsQ5{œbaseClassesœ:[œstrœ],œdataTypeœ:œCustomComponentœ,œidœ:œCustomComponent-whsQ5œ}-PromptTemplate-H9Udy{œfieldNameœ:œhtml_linksœ,œidœ:œPromptTemplate-H9Udyœ,œinputTypesœ:[œDocumentœ,œBaseOutputParserœ],œtypeœ:œstrœ}\",\"selected\":true},{\"source\":\"CustomComponent-f6nOg\",\"sourceHandle\":\"{œbaseClassesœ:[œstrœ],œdataTypeœ:œCustomComponentœ,œidœ:œCustomComponent-f6nOgœ}\",\"target\":\"PromptTemplate-H9Udy\",\"targetHandle\":\"{œfieldNameœ:œhtml_markdownœ,œidœ:œPromptTemplate-H9Udyœ,œinputTypesœ:[œDocumentœ,œBaseOutputParserœ],œtypeœ:œstrœ}\",\"data\":{\"targetHandle\":{\"fieldName\":\"html_markdown\",\"id\":\"PromptTemplate-H9Udy\",\"inputTypes\":[\"Document\",\"BaseOutputParser\"],\"type\":\"str\"},\"sourceHandle\":{\"baseClasses\":[\"str\"],\"dataType\":\"CustomComponent\",\"id\":\"CustomComponent-f6nOg\"}},\"style\":{\"stroke\":\"#555\"},\"className\":\"stroke-foreground stroke-connection\",\"animated\":false,\"id\":\"reactflow__edge-CustomComponent-f6nOg{œbaseClassesœ:[œstrœ],œdataTypeœ:œCustomComponentœ,œidœ:œCustomComponent-f6nOgœ}-PromptTemplate-H9Udy{œfieldNameœ:œhtml_markdownœ,œidœ:œPromptTemplate-H9Udyœ,œinputTypesœ:[œDocumentœ,œBaseOutputParserœ],œtypeœ:œstrœ}\",\"selected\":true}],\"viewport\":{\"x\":343.0346131188585,\"y\":341.89843948642147,\"zoom\":0.24148408223121196}},\"is_component\":false,\"name\":\"Fluffy Ptolemy\",\"description\":\"\",\"id\":\"W5oNW\"}}},\"id\":\"GroupNode-WXPMk\",\"position\":{\"x\":873.0737834322758,\"y\":598.8401015776466},\"type\":\"genericNode\",\"selected\":true,\"dragging\":false,\"positionAbsolute\":{\"x\":873.0737834322758,\"y\":598.8401015776466}}],\"edges\":[{\"source\":\"ChatOpenAI-VSAdc\",\"sourceHandle\":\"{œbaseClassesœ:[œBaseLanguageModelœ,œChatOpenAIœ,œBaseChatModelœ,œBaseLLMœ],œdataTypeœ:œChatOpenAIœ,œidœ:œChatOpenAI-VSAdcœ}\",\"target\":\"LLMChain-H7PBy\",\"targetHandle\":\"{œfieldNameœ:œllmœ,œidœ:œLLMChain-H7PByœ,œinputTypesœ:null,œtypeœ:œBaseLanguageModelœ}\",\"data\":{\"targetHandle\":{\"fieldName\":\"llm\",\"id\":\"LLMChain-H7PBy\",\"inputTypes\":null,\"type\":\"BaseLanguageModel\"},\"sourceHandle\":{\"baseClasses\":[\"BaseLanguageModel\",\"ChatOpenAI\",\"BaseChatModel\",\"BaseLLM\"],\"dataType\":\"ChatOpenAI\",\"id\":\"ChatOpenAI-VSAdc\"}},\"style\":{\"stroke\":\"#555\"},\"className\":\"stroke-gray-900 stroke-connection\",\"animated\":false,\"id\":\"reactflow__edge-ChatOpenAI-VSAdc{œbaseClassesœ:[œBaseLanguageModelœ,œChatOpenAIœ,œBaseChatModelœ,œBaseLLMœ],œdataTypeœ:œChatOpenAIœ,œidœ:œChatOpenAI-VSAdcœ}-LLMChain-H7PBy{œfieldNameœ:œllmœ,œidœ:œLLMChain-H7PByœ,œinputTypesœ:null,œtypeœ:œBaseLanguageModelœ}\"},{\"source\":\"GroupNode-WXPMk\",\"sourceHandle\":\"{œbaseClassesœ:[œStringPromptTemplateœ,œBasePromptTemplateœ,œPromptTemplateœ],œdataTypeœ:œPromptTemplateœ,œidœ:œGroupNode-WXPMkœ}\",\"target\":\"LLMChain-H7PBy\",\"targetHandle\":\"{œfieldNameœ:œpromptœ,œidœ:œLLMChain-H7PByœ,œinputTypesœ:null,œtypeœ:œBasePromptTemplateœ}\",\"data\":{\"targetHandle\":{\"fieldName\":\"prompt\",\"id\":\"LLMChain-H7PBy\",\"inputTypes\":null,\"type\":\"BasePromptTemplate\"},\"sourceHandle\":{\"baseClasses\":[\"StringPromptTemplate\",\"BasePromptTemplate\",\"PromptTemplate\"],\"dataType\":\"PromptTemplate\",\"id\":\"GroupNode-WXPMk\"}},\"style\":{\"stroke\":\"#555\"},\"className\":\"stroke-gray-900 stroke-connection\",\"animated\":false,\"id\":\"reactflow__edge-GroupNode-WXPMk{œbaseClassesœ:[œStringPromptTemplateœ,œBasePromptTemplateœ,œPromptTemplateœ],œdataTypeœ:œPromptTemplateœ,œidœ:œGroupNode-WXPMkœ}-LLMChain-H7PBy{œfieldNameœ:œpromptœ,œidœ:œLLMChain-H7PByœ,œinputTypesœ:null,œtypeœ:œBasePromptTemplateœ}\"}],\"viewport\":{\"x\":-348.6161822813733,\"y\":121.40545291211492,\"zoom\":0.6801854262029781}},\"is_component\":false,\"updated_at\":\"2023-12-04T23:22:27.784647\",\"folder\":null,\"id\":\"efc3bf27-3cf1-4561-9a83-3df347572440\",\"user_id\":\"d253bfba-6368-44dc-85f7-0d6da9e45968\"},{\"name\":\"Sad Joliot\",\"description\":\"Navigate the Networks of Conversation.\",\"data\":{\"nodes\":[{\"width\":384,\"height\":338,\"id\":\"LLMChain-RQsU1\",\"type\":\"genericNode\",\"position\":{\"x\":514.4440482813261,\"y\":528.164086188516},\"data\":{\"type\":\"LLMChain\",\"node\":{\"template\":{\"code\":{\"dynamic\":true,\"required\":true,\"placeholder\":\"\",\"show\":false,\"multiline\":true,\"value\":\"from typing import Callable, Optional, Union\\n\\nfrom langchain.chains import LLMChain\\n\\nfrom langflow import CustomComponent\\nfrom langflow.field_typing import (\\n BaseLanguageModel,\\n BaseMemory,\\n BasePromptTemplate,\\n Chain,\\n)\\n\\n\\nclass LLMChainComponent(CustomComponent):\\n display_name = \\\"LLMChain\\\"\\n description = \\\"Chain to run queries against LLMs\\\"\\n\\n def build_config(self):\\n return {\\n \\\"prompt\\\": {\\\"display_name\\\": \\\"Prompt\\\"},\\n \\\"llm\\\": {\\\"display_name\\\": \\\"LLM\\\"},\\n \\\"memory\\\": {\\\"display_name\\\": \\\"Memory\\\"},\\n \\\"code\\\": {\\\"show\\\": False},\\n }\\n\\n def build(\\n self,\\n prompt: BasePromptTemplate,\\n llm: BaseLanguageModel,\\n memory: Optional[BaseMemory] = None,\\n ) -> Union[Chain, Callable]:\\n return LLMChain(prompt=prompt, llm=llm, memory=memory)\\n\",\"password\":false,\"name\":\"code\",\"advanced\":false,\"type\":\"code\",\"list\":false},\"_type\":\"CustomComponent\",\"llm\":{\"required\":true,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"password\":false,\"name\":\"llm\",\"display_name\":\"LLM\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"BaseLanguageModel\",\"list\":false},\"memory\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"password\":false,\"name\":\"memory\",\"display_name\":\"Memory\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"BaseMemory\",\"list\":false},\"prompt\":{\"required\":true,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"password\":false,\"name\":\"prompt\",\"display_name\":\"Prompt\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"BasePromptTemplate\",\"list\":false}},\"description\":\"Chain to run queries against LLMs\",\"base_classes\":[\"Chain\",\"Callable\"],\"display_name\":\"LLMChain\",\"custom_fields\":{\"llm\":null,\"memory\":null,\"prompt\":null},\"output_types\":[\"LLMChain\"],\"documentation\":\"\",\"beta\":true,\"error\":null},\"id\":\"LLMChain-RQsU1\"},\"selected\":false,\"positionAbsolute\":{\"x\":514.4440482813261,\"y\":528.164086188516}},{\"width\":384,\"height\":626,\"id\":\"ChatOpenAI-NTTcv\",\"type\":\"genericNode\",\"position\":{\"x\":-221.33853765781578,\"y\":-35.48749923706055},\"data\":{\"type\":\"ChatOpenAI\",\"node\":{\"template\":{\"callbacks\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"password\":false,\"name\":\"callbacks\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"langchain_core.callbacks.base.BaseCallbackHandler\",\"list\":true},\"async_client\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"password\":false,\"name\":\"async_client\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"Any\",\"list\":false},\"cache\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"password\":false,\"name\":\"cache\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"bool\",\"list\":false},\"client\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"password\":false,\"name\":\"client\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"Any\",\"list\":false},\"default_headers\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"password\":false,\"name\":\"default_headers\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"dict\",\"list\":false},\"default_query\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"password\":false,\"name\":\"default_query\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"dict\",\"list\":false},\"http_client\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"password\":false,\"name\":\"http_client\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"Any\",\"list\":false},\"max_retries\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"value\":2,\"password\":false,\"name\":\"max_retries\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"int\",\"list\":false},\"max_tokens\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"password\":true,\"name\":\"max_tokens\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"int\",\"list\":false},\"metadata\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"password\":false,\"name\":\"metadata\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"dict\",\"list\":false},\"model_kwargs\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"password\":false,\"name\":\"model_kwargs\",\"advanced\":true,\"dynamic\":false,\"info\":\"\",\"type\":\"dict\",\"list\":false},\"model_name\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"value\":\"gpt-4-1106-preview\",\"password\":false,\"options\":[\"gpt-4-1106-preview\",\"gpt-4\",\"gpt-4-32k\",\"gpt-3.5-turbo\",\"gpt-3.5-turbo-16k\"],\"name\":\"model_name\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"str\",\"list\":true},\"n\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"value\":1,\"password\":false,\"name\":\"n\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"int\",\"list\":false},\"openai_api_base\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"password\":false,\"name\":\"openai_api_base\",\"display_name\":\"OpenAI API Base\",\"advanced\":false,\"dynamic\":false,\"info\":\"\\nThe base URL of the OpenAI API. Defaults to https://api.openai.com/v1.\\n\\nYou can change this to use other APIs like JinaChat, LocalAI and Prem.\\n\",\"type\":\"str\",\"list\":false},\"openai_api_key\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"value\":\"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\",\"password\":true,\"name\":\"openai_api_key\",\"display_name\":\"OpenAI API Key\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"str\",\"list\":false},\"openai_organization\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"password\":false,\"name\":\"openai_organization\",\"display_name\":\"OpenAI Organization\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"str\",\"list\":false},\"openai_proxy\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"password\":false,\"name\":\"openai_proxy\",\"display_name\":\"OpenAI Proxy\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"str\",\"list\":false},\"request_timeout\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"password\":false,\"name\":\"request_timeout\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"float\",\"list\":false},\"streaming\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"value\":false,\"password\":false,\"name\":\"streaming\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"bool\",\"list\":false},\"tags\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"password\":false,\"name\":\"tags\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"str\",\"list\":true},\"temperature\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"value\":\"0.1\",\"password\":false,\"name\":\"temperature\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"float\",\"list\":false},\"tiktoken_model_name\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"password\":false,\"name\":\"tiktoken_model_name\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"str\",\"list\":false},\"verbose\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"value\":false,\"password\":false,\"name\":\"verbose\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"bool\",\"list\":false},\"_type\":\"ChatOpenAI\"},\"description\":\"`OpenAI` Chat large language models API.\",\"base_classes\":[\"BaseLanguageModel\",\"ChatOpenAI\",\"BaseChatModel\",\"BaseLLM\"],\"display_name\":\"ChatOpenAI\",\"custom_fields\":{},\"output_types\":[],\"documentation\":\"https://python.langchain.com/docs/modules/model_io/models/chat/integrations/openai\",\"beta\":false,\"error\":null},\"id\":\"ChatOpenAI-NTTcv\"},\"selected\":false,\"positionAbsolute\":{\"x\":-221.33853765781578,\"y\":-35.48749923706055}},{\"width\":384,\"height\":374,\"id\":\"PromptTemplate-VELMV\",\"type\":\"genericNode\",\"position\":{\"x\":-222,\"y\":682.560723386973},\"data\":{\"id\":\"PromptTemplate-VELMV\",\"type\":\"PromptTemplate\",\"node\":{\"output_types\":[],\"display_name\":\"Web Scraper\",\"documentation\":\"\",\"base_classes\":[\"StringPromptTemplate\",\"BasePromptTemplate\",\"PromptTemplate\"],\"description\":\"Fetch and parse text and links from a given URL.\",\"template\":{\"code_CustomComponent-f6nOg\":{\"dynamic\":true,\"required\":true,\"placeholder\":\"\",\"show\":false,\"multiline\":true,\"value\":\"from langflow import CustomComponent\\nfrom langflow.field_typing import Data\\nimport html2text\\n\\nclass ConvertHTMLToMarkdown(CustomComponent):\\n display_name: str = \\\"HTML to Markdown\\\"\\n description: str = \\\"Converts HTML content to Markdown format.\\\"\\n\\n def build(self, html_content: Data, ignore_links: bool = False) -> str:\\n converter = html2text.HTML2Text()\\n converter.ignore_links = ignore_links\\n markdown_text = converter.handle(html_content)\\n self.status = markdown_text\\n return markdown_text\\n\",\"password\":false,\"name\":\"code\",\"advanced\":false,\"type\":\"code\",\"list\":false,\"proxy\":{\"id\":\"CustomComponent-f6nOg\",\"field\":\"code\"},\"display_name\":\"Code\"},\"ignore_links_CustomComponent-f6nOg\":{\"required\":true,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"value\":false,\"password\":false,\"name\":\"ignore_links\",\"display_name\":\"ignore_links\",\"advanced\":true,\"dynamic\":false,\"info\":\"\",\"type\":\"bool\",\"list\":false,\"proxy\":{\"id\":\"CustomComponent-f6nOg\",\"field\":\"ignore_links\"}},\"code_CustomComponent-FGzJJ\":{\"dynamic\":true,\"required\":true,\"placeholder\":\"\",\"show\":false,\"multiline\":true,\"value\":\"from langflow import CustomComponent\\nfrom langflow.field_typing import Data\\nimport requests\\n\\nclass FetchHTMLContent(CustomComponent):\\n display_name: str = \\\"Fetch HTML\\\"\\n description: str = \\\"Fetches HTML content from a specified URL.\\\"\\n \\n def build_config(self):\\n return {\\\"url\\\": {\\\"input_types\\\": [\\\"Data\\\", \\\"str\\\"]}} \\n\\n def build(self, url: str) -> Data:\\n response = requests.get(url)\\n self.status = str(response) + \\\"\\\\n\\\\n\\\" + response.text\\n return response.text\\n\",\"password\":false,\"name\":\"code\",\"advanced\":false,\"type\":\"code\",\"list\":false,\"proxy\":{\"id\":\"CustomComponent-FGzJJ\",\"field\":\"code\"},\"display_name\":\"Code\"},\"code_CustomComponent-0XtUN\":{\"dynamic\":true,\"required\":true,\"placeholder\":\"\",\"show\":false,\"multiline\":true,\"value\":\"from bs4 import BeautifulSoup\\nfrom langflow import CustomComponent\\nfrom langflow.field_typing import Data\\n\\nclass ParseHTMLContent(CustomComponent):\\n display_name: str = \\\"Parse HTML\\\"\\n description: str = \\\"Parses HTML content using Beautiful Soup.\\\"\\n\\n def build(self, html_content: Data) -> Data:\\n soup = BeautifulSoup(html_content, 'html.parser')\\n self.status = soup\\n return soup\\n\",\"password\":false,\"name\":\"code\",\"advanced\":false,\"type\":\"code\",\"list\":false,\"proxy\":{\"id\":\"CustomComponent-0XtUN\",\"field\":\"code\"},\"display_name\":\"Code\"},\"code_CustomComponent-ODIcp\":{\"dynamic\":true,\"required\":true,\"placeholder\":\"\",\"show\":false,\"multiline\":true,\"value\":\"from langflow import CustomComponent\\nfrom langflow.field_typing import Data\\n\\nclass ExtractHyperlinks(CustomComponent):\\n display_name: str = \\\"Extract Hyperlinks\\\"\\n description: str = \\\"Extracts hyperlinks from parsed HTML content.\\\"\\n\\n def build(self, soup: Data) -> list:\\n links = [link.get('href') for link in soup.find_all('a')]\\n self.status = links\\n return links\\n\",\"password\":false,\"name\":\"code\",\"advanced\":false,\"type\":\"code\",\"list\":false,\"proxy\":{\"id\":\"CustomComponent-ODIcp\",\"field\":\"code\"},\"display_name\":\"Code\"},\"output_parser_PromptTemplate-H9Udy\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"password\":false,\"name\":\"output_parser\",\"advanced\":false,\"dynamic\":true,\"info\":\"\",\"type\":\"BaseOutputParser\",\"list\":false,\"proxy\":{\"id\":\"PromptTemplate-H9Udy\",\"field\":\"output_parser\"},\"display_name\":\"Output Parser\"},\"input_types_PromptTemplate-H9Udy\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"password\":false,\"name\":\"input_types\",\"advanced\":true,\"dynamic\":true,\"info\":\"\",\"type\":\"dict\",\"list\":false,\"proxy\":{\"id\":\"PromptTemplate-H9Udy\",\"field\":\"input_types\"},\"display_name\":\"Input Types\"},\"input_variables_PromptTemplate-H9Udy\":{\"required\":true,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"password\":false,\"name\":\"input_variables\",\"advanced\":false,\"dynamic\":true,\"info\":\"\",\"type\":\"str\",\"list\":true,\"value\":[\"url\",\"html_markdown\",\"html_links\",\"query\"],\"proxy\":{\"id\":\"PromptTemplate-H9Udy\",\"field\":\"input_variables\"},\"display_name\":\"Input Variables\"},\"partial_variables_PromptTemplate-H9Udy\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"password\":false,\"name\":\"partial_variables\",\"advanced\":true,\"dynamic\":true,\"info\":\"\",\"type\":\"dict\",\"list\":false,\"proxy\":{\"id\":\"PromptTemplate-H9Udy\",\"field\":\"partial_variables\"},\"display_name\":\"Partial Variables\"},\"template_PromptTemplate-H9Udy\":{\"required\":true,\"placeholder\":\"\",\"show\":true,\"multiline\":true,\"password\":false,\"name\":\"template\",\"advanced\":true,\"dynamic\":true,\"info\":\"\",\"type\":\"prompt\",\"list\":false,\"value\":\"Below is the HTML content (as markdown) and hyperlinks extracted from {url}\\n\\n---\\n\\nContent:\\n\\n{html_markdown}\\n\\n---\\n\\nLinks:\\n\\n{html_links}\\n\\n---\\n\\nAnswer the user query as best as possible.\\n\\nUser query:\\n\\n{query}\\n\\nAnswer:\\n\",\"proxy\":{\"id\":\"PromptTemplate-H9Udy\",\"field\":\"template\"},\"display_name\":\"Template\"},\"template_format_PromptTemplate-H9Udy\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"value\":\"f-string\",\"password\":false,\"name\":\"template_format\",\"advanced\":true,\"dynamic\":true,\"info\":\"\",\"type\":\"str\",\"list\":false,\"proxy\":{\"id\":\"PromptTemplate-H9Udy\",\"field\":\"template_format\"},\"display_name\":\"Template Format\"},\"validate_template_PromptTemplate-H9Udy\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"value\":false,\"password\":false,\"name\":\"validate_template\",\"advanced\":true,\"dynamic\":true,\"info\":\"\",\"type\":\"bool\",\"list\":false,\"proxy\":{\"id\":\"PromptTemplate-H9Udy\",\"field\":\"validate_template\"},\"display_name\":\"Validate Template\"},\"query_PromptTemplate-H9Udy\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":true,\"value\":\"\",\"password\":false,\"name\":\"query\",\"display_name\":\"query\",\"advanced\":false,\"input_types\":[\"Document\",\"BaseOutputParser\"],\"dynamic\":false,\"info\":\"\",\"type\":\"str\",\"list\":false,\"proxy\":{\"id\":\"PromptTemplate-H9Udy\",\"field\":\"query\"}},\"code_CustomComponent-OACE0\":{\"dynamic\":true,\"required\":true,\"placeholder\":\"\",\"show\":false,\"multiline\":true,\"value\":\"from langflow import CustomComponent\\nfrom langflow.field_typing import Data\\nimport requests\\n\\nclass FetchHTMLContent(CustomComponent):\\n display_name: str = \\\"URL Input\\\"\\n\\n def build(self, url: str) -> str:\\n return url\\n\",\"password\":false,\"name\":\"code\",\"advanced\":false,\"type\":\"code\",\"list\":false,\"proxy\":{\"id\":\"CustomComponent-OACE0\",\"field\":\"code\"},\"display_name\":\"Code\"},\"url_CustomComponent-OACE0\":{\"required\":true,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"password\":false,\"name\":\"url\",\"display_name\":\"url\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"str\",\"list\":false,\"proxy\":{\"id\":\"CustomComponent-OACE0\",\"field\":\"url\"},\"value\":\"https://paperswithcode.com/\"},\"code_CustomComponent-whsQ5\":{\"dynamic\":true,\"required\":true,\"placeholder\":\"\",\"show\":false,\"multiline\":true,\"value\":\"from langflow import CustomComponent\\n\\nclass ListToMarkdownBullets(CustomComponent):\\n display_name: str = \\\"List to Bullets\\\"\\n description: str = \\\"Converts a Python list into Markdown bullet points.\\\"\\n\\n def build(self, items: list) -> str:\\n markdown_bullets = '\\\\n'.join(f'* {item}' for item in items)\\n return markdown_bullets\\n\",\"password\":false,\"name\":\"code\",\"advanced\":false,\"type\":\"code\",\"list\":false,\"proxy\":{\"id\":\"CustomComponent-whsQ5\",\"field\":\"code\"},\"display_name\":\"Code\"}},\"flow\":{\"data\":{\"nodes\":[{\"width\":384,\"height\":405,\"id\":\"CustomComponent-f6nOg\",\"type\":\"genericNode\",\"position\":{\"x\":665.2835942536854,\"y\":-371.7823429271119},\"data\":{\"type\":\"CustomComponent\",\"node\":{\"template\":{\"code\":{\"dynamic\":true,\"required\":true,\"placeholder\":\"\",\"show\":true,\"multiline\":true,\"value\":\"from langflow import CustomComponent\\nfrom langflow.field_typing import Data\\nimport html2text\\n\\nclass ConvertHTMLToMarkdown(CustomComponent):\\n display_name: str = \\\"HTML to Markdown\\\"\\n description: str = \\\"Converts HTML content to Markdown format.\\\"\\n\\n def build(self, html_content: Data, ignore_links: bool = False) -> str:\\n converter = html2text.HTML2Text()\\n converter.ignore_links = ignore_links\\n markdown_text = converter.handle(html_content)\\n self.status = markdown_text\\n return markdown_text\\n\",\"password\":false,\"name\":\"code\",\"advanced\":false,\"type\":\"code\",\"list\":false},\"_type\":\"CustomComponent\",\"html_content\":{\"required\":true,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"password\":false,\"name\":\"html_content\",\"display_name\":\"html_content\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"Data\",\"list\":false},\"ignore_links\":{\"required\":true,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"value\":false,\"password\":false,\"name\":\"ignore_links\",\"display_name\":\"ignore_links\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"bool\",\"list\":false}},\"description\":\"Converts HTML content to Markdown format.\",\"base_classes\":[\"str\"],\"display_name\":\"HTML to Markdown\",\"custom_fields\":{\"html_content\":null,\"ignore_links\":null},\"output_types\":[\"str\"],\"documentation\":\"\",\"beta\":true,\"error\":null},\"id\":\"CustomComponent-f6nOg\"},\"selected\":true,\"positionAbsolute\":{\"x\":665.2835942536854,\"y\":-371.7823429271119},\"dragging\":false},{\"width\":384,\"height\":375,\"id\":\"CustomComponent-FGzJJ\",\"type\":\"genericNode\",\"position\":{\"x\":-464.4553400967736,\"y\":-225.62715888255525},\"data\":{\"type\":\"CustomComponent\",\"node\":{\"template\":{\"code\":{\"dynamic\":true,\"required\":true,\"placeholder\":\"\",\"show\":true,\"multiline\":true,\"value\":\"from langflow import CustomComponent\\nfrom langflow.field_typing import Data\\nimport requests\\n\\nclass FetchHTMLContent(CustomComponent):\\n display_name: str = \\\"Fetch HTML\\\"\\n description: str = \\\"Fetches HTML content from a specified URL.\\\"\\n \\n def build_config(self):\\n return {\\\"url\\\": {\\\"input_types\\\": [\\\"Data\\\", \\\"str\\\"]}} \\n\\n def build(self, url: str) -> Data:\\n response = requests.get(url)\\n self.status = str(response) + \\\"\\\\n\\\\n\\\" + response.text\\n return response.text\\n\",\"password\":false,\"name\":\"code\",\"advanced\":false,\"type\":\"code\",\"list\":false},\"_type\":\"CustomComponent\",\"url\":{\"required\":true,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"password\":false,\"name\":\"url\",\"display_name\":\"url\",\"advanced\":false,\"input_types\":[\"Data\",\"str\"],\"dynamic\":false,\"info\":\"\",\"type\":\"str\",\"list\":false,\"value\":\"\"}},\"description\":\"Fetches HTML content from a specified URL.\",\"base_classes\":[\"Data\"],\"display_name\":\"Fetch HTML\",\"custom_fields\":{\"url\":null},\"output_types\":[\"Data\"],\"documentation\":\"\",\"beta\":true,\"error\":null},\"id\":\"CustomComponent-FGzJJ\"},\"selected\":true,\"dragging\":false,\"positionAbsolute\":{\"x\":-464.4553400967736,\"y\":-225.62715888255525}},{\"width\":384,\"height\":329,\"id\":\"CustomComponent-0XtUN\",\"type\":\"genericNode\",\"position\":{\"x\":214.00059169497604,\"y\":177.27071061129823},\"data\":{\"type\":\"CustomComponent\",\"node\":{\"template\":{\"code\":{\"dynamic\":true,\"required\":true,\"placeholder\":\"\",\"show\":true,\"multiline\":true,\"value\":\"from bs4 import BeautifulSoup\\nfrom langflow import CustomComponent\\nfrom langflow.field_typing import Data\\n\\nclass ParseHTMLContent(CustomComponent):\\n display_name: str = \\\"Parse HTML\\\"\\n description: str = \\\"Parses HTML content using Beautiful Soup.\\\"\\n\\n def build(self, html_content: Data) -> Data:\\n soup = BeautifulSoup(html_content, 'html.parser')\\n self.status = soup\\n return soup\\n\",\"password\":false,\"name\":\"code\",\"advanced\":false,\"type\":\"code\",\"list\":false},\"_type\":\"CustomComponent\",\"html_content\":{\"required\":true,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"password\":false,\"name\":\"html_content\",\"display_name\":\"html_content\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"Data\",\"list\":false}},\"description\":\"Parses HTML content using Beautiful Soup.\",\"base_classes\":[\"Data\"],\"display_name\":\"Parse HTML\",\"custom_fields\":{\"html_content\":null},\"output_types\":[\"Data\"],\"documentation\":\"\",\"beta\":true,\"error\":null},\"id\":\"CustomComponent-0XtUN\"},\"selected\":true,\"dragging\":false,\"positionAbsolute\":{\"x\":214.00059169497604,\"y\":177.27071061129823}},{\"width\":384,\"height\":329,\"id\":\"CustomComponent-ODIcp\",\"type\":\"genericNode\",\"position\":{\"x\":845.0502195222412,\"y\":366.54344452019404},\"data\":{\"type\":\"CustomComponent\",\"node\":{\"template\":{\"code\":{\"dynamic\":true,\"required\":true,\"placeholder\":\"\",\"show\":true,\"multiline\":true,\"value\":\"from langflow import CustomComponent\\nfrom langflow.field_typing import Data\\n\\nclass ExtractHyperlinks(CustomComponent):\\n display_name: str = \\\"Extract Hyperlinks\\\"\\n description: str = \\\"Extracts hyperlinks from parsed HTML content.\\\"\\n\\n def build(self, soup: Data) -> list:\\n links = [link.get('href') for link in soup.find_all('a')]\\n self.status = links\\n return links\\n\",\"password\":false,\"name\":\"code\",\"advanced\":false,\"type\":\"code\",\"list\":false},\"_type\":\"CustomComponent\",\"soup\":{\"required\":true,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"password\":false,\"name\":\"soup\",\"display_name\":\"soup\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"Data\",\"list\":false}},\"description\":\"Extracts hyperlinks from parsed HTML content.\",\"base_classes\":[\"list\"],\"display_name\":\"Extract Hyperlinks\",\"custom_fields\":{\"soup\":null},\"output_types\":[\"list\"],\"documentation\":\"\",\"beta\":true,\"error\":null},\"id\":\"CustomComponent-ODIcp\"},\"selected\":true,\"positionAbsolute\":{\"x\":845.0502195222412,\"y\":366.54344452019404},\"dragging\":false},{\"width\":384,\"height\":657,\"id\":\"PromptTemplate-H9Udy\",\"type\":\"genericNode\",\"position\":{\"x\":2230.389721706283,\"y\":584.4905083765256},\"data\":{\"type\":\"PromptTemplate\",\"node\":{\"template\":{\"output_parser\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"password\":false,\"name\":\"output_parser\",\"advanced\":false,\"dynamic\":true,\"info\":\"\",\"type\":\"BaseOutputParser\",\"list\":false},\"input_types\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"password\":false,\"name\":\"input_types\",\"advanced\":false,\"dynamic\":true,\"info\":\"\",\"type\":\"dict\",\"list\":false},\"input_variables\":{\"required\":true,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"password\":false,\"name\":\"input_variables\",\"advanced\":false,\"dynamic\":true,\"info\":\"\",\"type\":\"str\",\"list\":true,\"value\":[\"url\",\"html_markdown\",\"html_links\",\"query\"]},\"partial_variables\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"password\":false,\"name\":\"partial_variables\",\"advanced\":false,\"dynamic\":true,\"info\":\"\",\"type\":\"dict\",\"list\":false},\"template\":{\"required\":true,\"placeholder\":\"\",\"show\":true,\"multiline\":true,\"password\":false,\"name\":\"template\",\"advanced\":false,\"dynamic\":true,\"info\":\"\",\"type\":\"prompt\",\"list\":false,\"value\":\"Below is the HTML content (as markdown) and hyperlinks extracted from {url}\\n\\n---\\n\\nContent:\\n\\n{html_markdown}\\n\\n---\\n\\nLinks:\\n\\n{html_links}\\n\\n---\\n\\nAnswer the user query as best as possible.\\n\\nUser query:\\n\\n{query}\\n\\nAnswer:\\n\"},\"template_format\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"value\":\"f-string\",\"password\":false,\"name\":\"template_format\",\"advanced\":false,\"dynamic\":true,\"info\":\"\",\"type\":\"str\",\"list\":false},\"validate_template\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"value\":false,\"password\":false,\"name\":\"validate_template\",\"advanced\":false,\"dynamic\":true,\"info\":\"\",\"type\":\"bool\",\"list\":false},\"_type\":\"PromptTemplate\",\"url\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":true,\"value\":\"\",\"password\":false,\"name\":\"url\",\"display_name\":\"url\",\"advanced\":false,\"input_types\":[\"Document\",\"BaseOutputParser\"],\"dynamic\":false,\"info\":\"\",\"type\":\"str\",\"list\":false},\"html_markdown\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":true,\"value\":\"\",\"password\":false,\"name\":\"html_markdown\",\"display_name\":\"html_markdown\",\"advanced\":false,\"input_types\":[\"Document\",\"BaseOutputParser\"],\"dynamic\":false,\"info\":\"\",\"type\":\"str\",\"list\":false},\"html_links\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":true,\"value\":\"\",\"password\":false,\"name\":\"html_links\",\"display_name\":\"html_links\",\"advanced\":false,\"input_types\":[\"Document\",\"BaseOutputParser\"],\"dynamic\":false,\"info\":\"\",\"type\":\"str\",\"list\":false},\"query\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":true,\"value\":\"\",\"password\":false,\"name\":\"query\",\"display_name\":\"query\",\"advanced\":false,\"input_types\":[\"Document\",\"BaseOutputParser\"],\"dynamic\":false,\"info\":\"\",\"type\":\"str\",\"list\":false}},\"description\":\"A prompt template for a language model.\",\"base_classes\":[\"StringPromptTemplate\",\"BasePromptTemplate\",\"PromptTemplate\"],\"name\":\"\",\"display_name\":\"PromptTemplate\",\"documentation\":\"https://python.langchain.com/docs/modules/model_io/prompts/prompt_templates/\",\"custom_fields\":{\"\":[\"url\",\"html_markdown\",\"html_links\",\"query\"]},\"output_types\":[],\"full_path\":null,\"field_formatters\":{},\"beta\":false,\"error\":null},\"id\":\"PromptTemplate-H9Udy\"},\"selected\":true,\"positionAbsolute\":{\"x\":2230.389721706283,\"y\":584.4905083765256},\"dragging\":false},{\"width\":384,\"height\":347,\"id\":\"CustomComponent-OACE0\",\"type\":\"genericNode\",\"position\":{\"x\":-1155.9497945157625,\"y\":198.13583204151553},\"data\":{\"type\":\"CustomComponent\",\"node\":{\"template\":{\"code\":{\"dynamic\":true,\"required\":true,\"placeholder\":\"\",\"show\":true,\"multiline\":true,\"value\":\"from langflow import CustomComponent\\nfrom langflow.field_typing import Data\\nimport requests\\n\\nclass FetchHTMLContent(CustomComponent):\\n display_name: str = \\\"URL Input\\\"\\n\\n def build(self, url: str) -> str:\\n return url\\n\",\"password\":false,\"name\":\"code\",\"advanced\":false,\"type\":\"code\",\"list\":false},\"_type\":\"CustomComponent\",\"url\":{\"required\":true,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"password\":false,\"name\":\"url\",\"display_name\":\"url\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"str\",\"list\":false}},\"description\":null,\"base_classes\":[\"str\"],\"display_name\":\"URL Input\",\"custom_fields\":{\"url\":null},\"output_types\":[\"str\"],\"documentation\":\"\",\"beta\":true,\"error\":null},\"id\":\"CustomComponent-OACE0\"},\"selected\":true,\"positionAbsolute\":{\"x\":-1155.9497945157625,\"y\":198.13583204151553},\"dragging\":false},{\"width\":384,\"height\":329,\"id\":\"CustomComponent-whsQ5\",\"type\":\"genericNode\",\"position\":{\"x\":1396.5574076376327,\"y\":694.8308714574463},\"data\":{\"type\":\"CustomComponent\",\"node\":{\"template\":{\"code\":{\"dynamic\":true,\"required\":true,\"placeholder\":\"\",\"show\":true,\"multiline\":true,\"value\":\"from langflow import CustomComponent\\n\\nclass ListToMarkdownBullets(CustomComponent):\\n display_name: str = \\\"List to Bullets\\\"\\n description: str = \\\"Converts a Python list into Markdown bullet points.\\\"\\n\\n def build(self, items: list) -> str:\\n markdown_bullets = '\\\\n'.join(f'* {item}' for item in items)\\n return markdown_bullets\\n\",\"password\":false,\"name\":\"code\",\"advanced\":false,\"type\":\"code\",\"list\":false},\"_type\":\"CustomComponent\",\"items\":{\"required\":true,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"password\":false,\"name\":\"items\",\"display_name\":\"items\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"list\",\"list\":true}},\"description\":\"Converts a Python list into Markdown bullet points.\",\"base_classes\":[\"str\"],\"display_name\":\"List to Bullets\",\"custom_fields\":{\"items\":null},\"output_types\":[\"str\"],\"documentation\":\"\",\"beta\":true,\"error\":null},\"id\":\"CustomComponent-whsQ5\"},\"selected\":true,\"positionAbsolute\":{\"x\":1396.5574076376327,\"y\":694.8308714574463},\"dragging\":false}],\"edges\":[{\"source\":\"CustomComponent-FGzJJ\",\"sourceHandle\":\"{œbaseClassesœ:[œDataœ],œdataTypeœ:œCustomComponentœ,œidœ:œCustomComponent-FGzJJœ}\",\"target\":\"CustomComponent-f6nOg\",\"targetHandle\":\"{œfieldNameœ:œhtml_contentœ,œidœ:œCustomComponent-f6nOgœ,œinputTypesœ:null,œtypeœ:œDataœ}\",\"data\":{\"targetHandle\":{\"fieldName\":\"html_content\",\"id\":\"CustomComponent-f6nOg\",\"inputTypes\":null,\"type\":\"Data\"},\"sourceHandle\":{\"baseClasses\":[\"Data\"],\"dataType\":\"CustomComponent\",\"id\":\"CustomComponent-FGzJJ\"}},\"style\":{\"stroke\":\"#555\"},\"className\":\"stroke-foreground stroke-connection\",\"animated\":false,\"id\":\"reactflow__edge-CustomComponent-FGzJJ{œbaseClassesœ:[œDataœ],œdataTypeœ:œCustomComponentœ,œidœ:œCustomComponent-FGzJJœ}-CustomComponent-f6nOg{œfieldNameœ:œhtml_contentœ,œidœ:œCustomComponent-f6nOgœ,œinputTypesœ:null,œtypeœ:œDataœ}\",\"selected\":true},{\"source\":\"CustomComponent-FGzJJ\",\"sourceHandle\":\"{œbaseClassesœ:[œDataœ],œdataTypeœ:œCustomComponentœ,œidœ:œCustomComponent-FGzJJœ}\",\"target\":\"CustomComponent-0XtUN\",\"targetHandle\":\"{œfieldNameœ:œhtml_contentœ,œidœ:œCustomComponent-0XtUNœ,œinputTypesœ:null,œtypeœ:œDataœ}\",\"data\":{\"targetHandle\":{\"fieldName\":\"html_content\",\"id\":\"CustomComponent-0XtUN\",\"inputTypes\":null,\"type\":\"Data\"},\"sourceHandle\":{\"baseClasses\":[\"Data\"],\"dataType\":\"CustomComponent\",\"id\":\"CustomComponent-FGzJJ\"}},\"style\":{\"stroke\":\"#555\"},\"className\":\"stroke-foreground stroke-connection\",\"animated\":false,\"id\":\"reactflow__edge-CustomComponent-FGzJJ{œbaseClassesœ:[œDataœ],œdataTypeœ:œCustomComponentœ,œidœ:œCustomComponent-FGzJJœ}-CustomComponent-0XtUN{œfieldNameœ:œhtml_contentœ,œidœ:œCustomComponent-0XtUNœ,œinputTypesœ:null,œtypeœ:œDataœ}\",\"selected\":true},{\"source\":\"CustomComponent-0XtUN\",\"sourceHandle\":\"{œbaseClassesœ:[œDataœ],œdataTypeœ:œCustomComponentœ,œidœ:œCustomComponent-0XtUNœ}\",\"target\":\"CustomComponent-ODIcp\",\"targetHandle\":\"{œfieldNameœ:œsoupœ,œidœ:œCustomComponent-ODIcpœ,œinputTypesœ:null,œtypeœ:œDataœ}\",\"data\":{\"targetHandle\":{\"fieldName\":\"soup\",\"id\":\"CustomComponent-ODIcp\",\"inputTypes\":null,\"type\":\"Data\"},\"sourceHandle\":{\"baseClasses\":[\"Data\"],\"dataType\":\"CustomComponent\",\"id\":\"CustomComponent-0XtUN\"}},\"style\":{\"stroke\":\"#555\"},\"className\":\"stroke-foreground stroke-connection\",\"animated\":false,\"id\":\"reactflow__edge-CustomComponent-0XtUN{œbaseClassesœ:[œDataœ],œdataTypeœ:œCustomComponentœ,œidœ:œCustomComponent-0XtUNœ}-CustomComponent-ODIcp{œfieldNameœ:œsoupœ,œidœ:œCustomComponent-ODIcpœ,œinputTypesœ:null,œtypeœ:œDataœ}\",\"selected\":true},{\"source\":\"CustomComponent-OACE0\",\"sourceHandle\":\"{œbaseClassesœ:[œstrœ],œdataTypeœ:œCustomComponentœ,œidœ:œCustomComponent-OACE0œ}\",\"target\":\"CustomComponent-FGzJJ\",\"targetHandle\":\"{œfieldNameœ:œurlœ,œidœ:œCustomComponent-FGzJJœ,œinputTypesœ:[œDataœ,œstrœ],œtypeœ:œstrœ}\",\"data\":{\"targetHandle\":{\"fieldName\":\"url\",\"id\":\"CustomComponent-FGzJJ\",\"inputTypes\":[\"Data\",\"str\"],\"type\":\"str\"},\"sourceHandle\":{\"baseClasses\":[\"str\"],\"dataType\":\"CustomComponent\",\"id\":\"CustomComponent-OACE0\"}},\"style\":{\"stroke\":\"#555\"},\"className\":\"stroke-foreground stroke-connection\",\"animated\":false,\"id\":\"reactflow__edge-CustomComponent-OACE0{œbaseClassesœ:[œstrœ],œdataTypeœ:œCustomComponentœ,œidœ:œCustomComponent-OACE0œ}-CustomComponent-FGzJJ{œfieldNameœ:œurlœ,œidœ:œCustomComponent-FGzJJœ,œinputTypesœ:[œDataœ,œstrœ],œtypeœ:œstrœ}\",\"selected\":true},{\"source\":\"CustomComponent-OACE0\",\"sourceHandle\":\"{œbaseClassesœ:[œstrœ],œdataTypeœ:œCustomComponentœ,œidœ:œCustomComponent-OACE0œ}\",\"target\":\"PromptTemplate-H9Udy\",\"targetHandle\":\"{œfieldNameœ:œurlœ,œidœ:œPromptTemplate-H9Udyœ,œinputTypesœ:[œDocumentœ,œBaseOutputParserœ],œtypeœ:œstrœ}\",\"data\":{\"targetHandle\":{\"fieldName\":\"url\",\"id\":\"PromptTemplate-H9Udy\",\"inputTypes\":[\"Document\",\"BaseOutputParser\"],\"type\":\"str\"},\"sourceHandle\":{\"baseClasses\":[\"str\"],\"dataType\":\"CustomComponent\",\"id\":\"CustomComponent-OACE0\"}},\"style\":{\"stroke\":\"#555\"},\"className\":\"stroke-foreground stroke-connection\",\"animated\":false,\"id\":\"reactflow__edge-CustomComponent-OACE0{œbaseClassesœ:[œstrœ],œdataTypeœ:œCustomComponentœ,œidœ:œCustomComponent-OACE0œ}-PromptTemplate-H9Udy{œfieldNameœ:œurlœ,œidœ:œPromptTemplate-H9Udyœ,œinputTypesœ:[œDocumentœ,œBaseOutputParserœ],œtypeœ:œstrœ}\",\"selected\":true},{\"source\":\"CustomComponent-ODIcp\",\"sourceHandle\":\"{œbaseClassesœ:[œlistœ],œdataTypeœ:œCustomComponentœ,œidœ:œCustomComponent-ODIcpœ}\",\"target\":\"CustomComponent-whsQ5\",\"targetHandle\":\"{œfieldNameœ:œitemsœ,œidœ:œCustomComponent-whsQ5œ,œinputTypesœ:null,œtypeœ:œlistœ}\",\"data\":{\"targetHandle\":{\"fieldName\":\"items\",\"id\":\"CustomComponent-whsQ5\",\"inputTypes\":null,\"type\":\"list\"},\"sourceHandle\":{\"baseClasses\":[\"list\"],\"dataType\":\"CustomComponent\",\"id\":\"CustomComponent-ODIcp\"}},\"style\":{\"stroke\":\"#555\"},\"className\":\"stroke-foreground stroke-connection\",\"animated\":false,\"id\":\"reactflow__edge-CustomComponent-ODIcp{œbaseClassesœ:[œlistœ],œdataTypeœ:œCustomComponentœ,œidœ:œCustomComponent-ODIcpœ}-CustomComponent-whsQ5{œfieldNameœ:œitemsœ,œidœ:œCustomComponent-whsQ5œ,œinputTypesœ:null,œtypeœ:œlistœ}\",\"selected\":true},{\"source\":\"CustomComponent-whsQ5\",\"sourceHandle\":\"{œbaseClassesœ:[œstrœ],œdataTypeœ:œCustomComponentœ,œidœ:œCustomComponent-whsQ5œ}\",\"target\":\"PromptTemplate-H9Udy\",\"targetHandle\":\"{œfieldNameœ:œhtml_linksœ,œidœ:œPromptTemplate-H9Udyœ,œinputTypesœ:[œDocumentœ,œBaseOutputParserœ],œtypeœ:œstrœ}\",\"data\":{\"targetHandle\":{\"fieldName\":\"html_links\",\"id\":\"PromptTemplate-H9Udy\",\"inputTypes\":[\"Document\",\"BaseOutputParser\"],\"type\":\"str\"},\"sourceHandle\":{\"baseClasses\":[\"str\"],\"dataType\":\"CustomComponent\",\"id\":\"CustomComponent-whsQ5\"}},\"style\":{\"stroke\":\"#555\"},\"className\":\"stroke-foreground stroke-connection\",\"animated\":false,\"id\":\"reactflow__edge-CustomComponent-whsQ5{œbaseClassesœ:[œstrœ],œdataTypeœ:œCustomComponentœ,œidœ:œCustomComponent-whsQ5œ}-PromptTemplate-H9Udy{œfieldNameœ:œhtml_linksœ,œidœ:œPromptTemplate-H9Udyœ,œinputTypesœ:[œDocumentœ,œBaseOutputParserœ],œtypeœ:œstrœ}\",\"selected\":true},{\"source\":\"CustomComponent-f6nOg\",\"sourceHandle\":\"{œbaseClassesœ:[œstrœ],œdataTypeœ:œCustomComponentœ,œidœ:œCustomComponent-f6nOgœ}\",\"target\":\"PromptTemplate-H9Udy\",\"targetHandle\":\"{œfieldNameœ:œhtml_markdownœ,œidœ:œPromptTemplate-H9Udyœ,œinputTypesœ:[œDocumentœ,œBaseOutputParserœ],œtypeœ:œstrœ}\",\"data\":{\"targetHandle\":{\"fieldName\":\"html_markdown\",\"id\":\"PromptTemplate-H9Udy\",\"inputTypes\":[\"Document\",\"BaseOutputParser\"],\"type\":\"str\"},\"sourceHandle\":{\"baseClasses\":[\"str\"],\"dataType\":\"CustomComponent\",\"id\":\"CustomComponent-f6nOg\"}},\"style\":{\"stroke\":\"#555\"},\"className\":\"stroke-foreground stroke-connection\",\"animated\":false,\"id\":\"reactflow__edge-CustomComponent-f6nOg{œbaseClassesœ:[œstrœ],œdataTypeœ:œCustomComponentœ,œidœ:œCustomComponent-f6nOgœ}-PromptTemplate-H9Udy{œfieldNameœ:œhtml_markdownœ,œidœ:œPromptTemplate-H9Udyœ,œinputTypesœ:[œDocumentœ,œBaseOutputParserœ],œtypeœ:œstrœ}\",\"selected\":true}],\"viewport\":{\"x\":343.0346131188585,\"y\":341.89843948642147,\"zoom\":0.24148408223121196}},\"is_component\":false,\"name\":\"Fluffy Ptolemy\",\"description\":\"\",\"id\":\"W5oNW\"}}},\"selected\":false,\"positionAbsolute\":{\"x\":-222,\"y\":682.560723386973}}],\"edges\":[{\"source\":\"ChatOpenAI-NTTcv\",\"target\":\"LLMChain-RQsU1\",\"sourceHandle\":\"{œbaseClassesœ:[œBaseLanguageModelœ,œChatOpenAIœ,œBaseChatModelœ,œBaseLLMœ],œdataTypeœ:œChatOpenAIœ,œidœ:œChatOpenAI-NTTcvœ}\",\"targetHandle\":\"{œfieldNameœ:œllmœ,œidœ:œLLMChain-RQsU1œ,œinputTypesœ:null,œtypeœ:œBaseLanguageModelœ}\",\"id\":\"reactflow__edge-ChatOpenAI-NTTcv{œbaseClassesœ:[œBaseLanguageModelœ,œChatOpenAIœ,œBaseChatModelœ,œBaseLLMœ],œdataTypeœ:œChatOpenAIœ,œidœ:œChatOpenAI-NTTcvœ}-LLMChain-RQsU1{œfieldNameœ:œllmœ,œidœ:œLLMChain-RQsU1œ,œinputTypesœ:null,œtypeœ:œBaseLanguageModelœ}\",\"data\":{\"targetHandle\":{\"fieldName\":\"llm\",\"id\":\"LLMChain-RQsU1\",\"inputTypes\":null,\"type\":\"BaseLanguageModel\"},\"sourceHandle\":{\"baseClasses\":[\"BaseLanguageModel\",\"ChatOpenAI\",\"BaseChatModel\",\"BaseLLM\"],\"dataType\":\"ChatOpenAI\",\"id\":\"ChatOpenAI-NTTcv\"}},\"style\":{\"stroke\":\"#555\"},\"className\":\"stroke-gray-900 \",\"animated\":false,\"selected\":false},{\"source\":\"PromptTemplate-VELMV\",\"target\":\"LLMChain-RQsU1\",\"sourceHandle\":\"{œbaseClassesœ:[œStringPromptTemplateœ,œBasePromptTemplateœ,œPromptTemplateœ],œdataTypeœ:œPromptTemplateœ,œidœ:œPromptTemplate-VELMVœ}\",\"targetHandle\":\"{œfieldNameœ:œpromptœ,œidœ:œLLMChain-RQsU1œ,œinputTypesœ:null,œtypeœ:œBasePromptTemplateœ}\",\"id\":\"reactflow__edge-PromptTemplate-VELMV{œbaseClassesœ:[œStringPromptTemplateœ,œBasePromptTemplateœ,œPromptTemplateœ],œdataTypeœ:œPromptTemplateœ,œidœ:œPromptTemplate-VELMVœ}-LLMChain-RQsU1{œfieldNameœ:œpromptœ,œidœ:œLLMChain-RQsU1œ,œinputTypesœ:null,œtypeœ:œBasePromptTemplateœ}\",\"data\":{\"targetHandle\":{\"fieldName\":\"prompt\",\"id\":\"LLMChain-RQsU1\",\"inputTypes\":null,\"type\":\"BasePromptTemplate\"},\"sourceHandle\":{\"baseClasses\":[\"StringPromptTemplate\",\"BasePromptTemplate\",\"PromptTemplate\"],\"dataType\":\"PromptTemplate\",\"id\":\"PromptTemplate-VELMV\"}},\"style\":{\"stroke\":\"#555\"},\"className\":\"stroke-gray-900 \",\"animated\":false,\"selected\":false}],\"viewport\":{\"x\":298.29888454238517,\"y\":96.95765543775741,\"zoom\":0.5140569133280332}},\"is_component\":false,\"updated_at\":\"2023-12-04T23:23:08.584967\",\"folder\":null,\"id\":\"5df79f1d-f592-4d59-8c0f-9f3c2f6465b1\",\"user_id\":\"d253bfba-6368-44dc-85f7-0d6da9e45968\"},{\"name\":\"Silly Pasteur\",\"description\":\"Nurture NLP Nodes Here.\",\"data\":{\"nodes\":[{\"width\":384,\"height\":338,\"id\":\"LLMChain-cHel8\",\"type\":\"genericNode\",\"position\":{\"x\":547.3876889720291,\"y\":299.2057833881307},\"data\":{\"type\":\"LLMChain\",\"node\":{\"template\":{\"code\":{\"dynamic\":true,\"required\":true,\"placeholder\":\"\",\"show\":false,\"multiline\":true,\"value\":\"from typing import Callable, Optional, Union\\n\\nfrom langchain.chains import LLMChain\\n\\nfrom langflow import CustomComponent\\nfrom langflow.field_typing import (\\n BaseLanguageModel,\\n BaseMemory,\\n BasePromptTemplate,\\n Chain,\\n)\\n\\n\\nclass LLMChainComponent(CustomComponent):\\n display_name = \\\"LLMChain\\\"\\n description = \\\"Chain to run queries against LLMs\\\"\\n\\n def build_config(self):\\n return {\\n \\\"prompt\\\": {\\\"display_name\\\": \\\"Prompt\\\"},\\n \\\"llm\\\": {\\\"display_name\\\": \\\"LLM\\\"},\\n \\\"memory\\\": {\\\"display_name\\\": \\\"Memory\\\"},\\n \\\"code\\\": {\\\"show\\\": False},\\n }\\n\\n def build(\\n self,\\n prompt: BasePromptTemplate,\\n llm: BaseLanguageModel,\\n memory: Optional[BaseMemory] = None,\\n ) -> Union[Chain, Callable]:\\n return LLMChain(prompt=prompt, llm=llm, memory=memory)\\n\",\"password\":false,\"name\":\"code\",\"advanced\":false,\"type\":\"code\",\"list\":false},\"_type\":\"CustomComponent\",\"llm\":{\"required\":true,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"password\":false,\"name\":\"llm\",\"display_name\":\"LLM\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"BaseLanguageModel\",\"list\":false},\"memory\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"password\":false,\"name\":\"memory\",\"display_name\":\"Memory\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"BaseMemory\",\"list\":false},\"prompt\":{\"required\":true,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"password\":false,\"name\":\"prompt\",\"display_name\":\"Prompt\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"BasePromptTemplate\",\"list\":false}},\"description\":\"Chain to run queries against LLMs\",\"base_classes\":[\"Chain\",\"Callable\"],\"display_name\":\"LLMChain\",\"custom_fields\":{\"llm\":null,\"memory\":null,\"prompt\":null},\"output_types\":[\"LLMChain\"],\"documentation\":\"\",\"beta\":true,\"error\":null},\"id\":\"LLMChain-cHel8\"},\"selected\":false,\"positionAbsolute\":{\"x\":547.3876889720291,\"y\":299.2057833881307},\"dragging\":false},{\"width\":384,\"height\":626,\"id\":\"ChatOpenAI-LA6y0\",\"type\":\"genericNode\",\"position\":{\"x\":-272.94405331278074,\"y\":-603.148171441675},\"data\":{\"type\":\"ChatOpenAI\",\"node\":{\"template\":{\"callbacks\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"password\":false,\"name\":\"callbacks\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"langchain_core.callbacks.base.BaseCallbackHandler\",\"list\":true},\"async_client\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"password\":false,\"name\":\"async_client\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"Any\",\"list\":false},\"cache\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"password\":false,\"name\":\"cache\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"bool\",\"list\":false},\"client\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"password\":false,\"name\":\"client\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"Any\",\"list\":false},\"default_headers\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"password\":false,\"name\":\"default_headers\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"dict\",\"list\":false},\"default_query\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"password\":false,\"name\":\"default_query\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"dict\",\"list\":false},\"http_client\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"password\":false,\"name\":\"http_client\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"Any\",\"list\":false},\"max_retries\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"value\":2,\"password\":false,\"name\":\"max_retries\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"int\",\"list\":false},\"max_tokens\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"password\":true,\"name\":\"max_tokens\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"int\",\"list\":false},\"metadata\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"password\":false,\"name\":\"metadata\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"dict\",\"list\":false},\"model_kwargs\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"password\":false,\"name\":\"model_kwargs\",\"advanced\":true,\"dynamic\":false,\"info\":\"\",\"type\":\"dict\",\"list\":false},\"model_name\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"value\":\"gpt-4-1106-preview\",\"password\":false,\"options\":[\"gpt-4-1106-preview\",\"gpt-4\",\"gpt-4-32k\",\"gpt-3.5-turbo\",\"gpt-3.5-turbo-16k\"],\"name\":\"model_name\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"str\",\"list\":true},\"n\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"value\":1,\"password\":false,\"name\":\"n\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"int\",\"list\":false},\"openai_api_base\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"password\":false,\"name\":\"openai_api_base\",\"display_name\":\"OpenAI API Base\",\"advanced\":false,\"dynamic\":false,\"info\":\"\\nThe base URL of the OpenAI API. Defaults to https://api.openai.com/v1.\\n\\nYou can change this to use other APIs like JinaChat, LocalAI and Prem.\\n\",\"type\":\"str\",\"list\":false},\"openai_api_key\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"value\":\"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\",\"password\":true,\"name\":\"openai_api_key\",\"display_name\":\"OpenAI API Key\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"str\",\"list\":false},\"openai_organization\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"password\":false,\"name\":\"openai_organization\",\"display_name\":\"OpenAI Organization\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"str\",\"list\":false},\"openai_proxy\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"password\":false,\"name\":\"openai_proxy\",\"display_name\":\"OpenAI Proxy\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"str\",\"list\":false},\"request_timeout\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"password\":false,\"name\":\"request_timeout\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"float\",\"list\":false},\"streaming\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"value\":false,\"password\":false,\"name\":\"streaming\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"bool\",\"list\":false},\"tags\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"password\":false,\"name\":\"tags\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"str\",\"list\":true},\"temperature\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"value\":\"0.1\",\"password\":false,\"name\":\"temperature\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"float\",\"list\":false},\"tiktoken_model_name\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"password\":false,\"name\":\"tiktoken_model_name\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"str\",\"list\":false},\"verbose\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"value\":false,\"password\":false,\"name\":\"verbose\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"bool\",\"list\":false},\"_type\":\"ChatOpenAI\"},\"description\":\"`OpenAI` Chat large language models API.\",\"base_classes\":[\"BaseLanguageModel\",\"ChatOpenAI\",\"BaseChatModel\",\"BaseLLM\"],\"display_name\":\"ChatOpenAI\",\"custom_fields\":{},\"output_types\":[],\"documentation\":\"https://python.langchain.com/docs/modules/model_io/models/chat/integrations/openai\",\"beta\":false,\"error\":null},\"id\":\"ChatOpenAI-LA6y0\"},\"selected\":false,\"dragging\":false,\"positionAbsolute\":{\"x\":-272.94405331278074,\"y\":-603.148171441675}},{\"width\":384,\"height\":404,\"id\":\"CustomComponent-ZNoRM\",\"type\":\"genericNode\",\"position\":{\"x\":-103.65741264289085,\"y\":134.62332404764658},\"data\":{\"type\":\"CustomComponent\",\"node\":{\"template\":{\"code\":{\"dynamic\":true,\"required\":true,\"placeholder\":\"\",\"show\":true,\"multiline\":true,\"value\":\"from langflow import CustomComponent\\nfrom langflow.field_typing import Data\\nimport html2text\\n\\nclass ConvertHTMLToMarkdown(CustomComponent):\\n display_name: str = \\\"HTML to Markdown\\\"\\n description: str = \\\"Converts HTML content to Markdown format.\\\"\\n\\n def build(self, html_content: Data, ignore_links: bool = False) -> str:\\n converter = html2text.HTML2Text()\\n converter.ignore_links = ignore_links\\n markdown_text = converter.handle(html_content)\\n self.status = markdown_text\\n return markdown_text\\n\",\"password\":false,\"name\":\"code\",\"advanced\":false,\"type\":\"code\",\"list\":false,\"display_name\":\"code\"},\"_type\":\"CustomComponent\",\"html_content\":{\"required\":true,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"password\":false,\"name\":\"html_content\",\"display_name\":\"html_content\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"Data\",\"list\":false},\"ignore_links\":{\"required\":true,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"value\":false,\"password\":false,\"name\":\"ignore_links\",\"display_name\":\"ignore_links\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"bool\",\"list\":false}},\"description\":\"Converts HTML content to Markdown format.\",\"base_classes\":[\"str\"],\"display_name\":\"HTML to Markdown\",\"custom_fields\":{\"html_content\":null,\"ignore_links\":null},\"output_types\":[\"str\"],\"documentation\":\"\",\"beta\":true,\"error\":null},\"id\":\"CustomComponent-ZNoRM\"},\"selected\":false,\"positionAbsolute\":{\"x\":-103.65741264289085,\"y\":134.62332404764658},\"dragging\":false},{\"width\":384,\"height\":374,\"id\":\"CustomComponent-zNSTv\",\"type\":\"genericNode\",\"position\":{\"x\":-1233.3963469933499,\"y\":280.77850809220325},\"data\":{\"type\":\"CustomComponent\",\"node\":{\"template\":{\"code\":{\"dynamic\":true,\"required\":true,\"placeholder\":\"\",\"show\":true,\"multiline\":true,\"value\":\"from langflow import CustomComponent\\nfrom langflow.field_typing import Data\\nimport requests\\n\\nclass FetchHTMLContent(CustomComponent):\\n display_name: str = \\\"Fetch HTML\\\"\\n description: str = \\\"Fetches HTML content from a specified URL.\\\"\\n \\n def build_config(self):\\n return {\\\"url\\\": {\\\"input_types\\\": [\\\"Data\\\", \\\"str\\\"]}} \\n\\n def build(self, url: str) -> Data:\\n response = requests.get(url)\\n self.status = str(response) + \\\"\\\\n\\\\n\\\" + response.text\\n return response.text\\n\",\"password\":false,\"name\":\"code\",\"advanced\":false,\"type\":\"code\",\"list\":false,\"display_name\":\"code\"},\"_type\":\"CustomComponent\",\"url\":{\"required\":true,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"password\":false,\"name\":\"url\",\"display_name\":\"url\",\"advanced\":false,\"input_types\":[\"Data\",\"str\"],\"dynamic\":false,\"info\":\"\",\"type\":\"str\",\"list\":false,\"value\":\"\"}},\"description\":\"Fetches HTML content from a specified URL.\",\"base_classes\":[\"Data\"],\"display_name\":\"Fetch HTML\",\"custom_fields\":{\"url\":null},\"output_types\":[\"Data\"],\"documentation\":\"\",\"beta\":true,\"error\":null},\"id\":\"CustomComponent-zNSTv\"},\"selected\":false,\"dragging\":false,\"positionAbsolute\":{\"x\":-1233.3963469933499,\"y\":280.77850809220325}},{\"width\":384,\"height\":328,\"id\":\"CustomComponent-Ihm2o\",\"type\":\"genericNode\",\"position\":{\"x\":-554.9404152016002,\"y\":683.6763775860567},\"data\":{\"type\":\"CustomComponent\",\"node\":{\"template\":{\"code\":{\"dynamic\":true,\"required\":true,\"placeholder\":\"\",\"show\":true,\"multiline\":true,\"value\":\"from bs4 import BeautifulSoup\\nfrom langflow import CustomComponent\\nfrom langflow.field_typing import Data\\n\\nclass ParseHTMLContent(CustomComponent):\\n display_name: str = \\\"Parse HTML\\\"\\n description: str = \\\"Parses HTML content using Beautiful Soup.\\\"\\n\\n def build(self, html_content: Data) -> Data:\\n soup = BeautifulSoup(html_content, 'html.parser')\\n self.status = soup\\n return soup\\n\",\"password\":false,\"name\":\"code\",\"advanced\":false,\"type\":\"code\",\"list\":false,\"display_name\":\"code\"},\"_type\":\"CustomComponent\",\"html_content\":{\"required\":true,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"password\":false,\"name\":\"html_content\",\"display_name\":\"html_content\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"Data\",\"list\":false}},\"description\":\"Parses HTML content using Beautiful Soup.\",\"base_classes\":[\"Data\"],\"display_name\":\"Parse HTML\",\"custom_fields\":{\"html_content\":null},\"output_types\":[\"Data\"],\"documentation\":\"\",\"beta\":true,\"error\":null},\"id\":\"CustomComponent-Ihm2o\"},\"selected\":false,\"dragging\":false,\"positionAbsolute\":{\"x\":-554.9404152016002,\"y\":683.6763775860567}},{\"width\":384,\"height\":328,\"id\":\"CustomComponent-6ST9l\",\"type\":\"genericNode\",\"position\":{\"x\":76.10921262566495,\"y\":872.9491114949525},\"data\":{\"type\":\"CustomComponent\",\"node\":{\"template\":{\"code\":{\"dynamic\":true,\"required\":true,\"placeholder\":\"\",\"show\":true,\"multiline\":true,\"value\":\"from langflow import CustomComponent\\nfrom langflow.field_typing import Data\\n\\nclass ExtractHyperlinks(CustomComponent):\\n display_name: str = \\\"Extract Hyperlinks\\\"\\n description: str = \\\"Extracts hyperlinks from parsed HTML content.\\\"\\n\\n def build(self, soup: Data) -> list:\\n links = [link.get('href') for link in soup.find_all('a')]\\n self.status = links\\n return links\\n\",\"password\":false,\"name\":\"code\",\"advanced\":false,\"type\":\"code\",\"list\":false,\"display_name\":\"code\"},\"_type\":\"CustomComponent\",\"soup\":{\"required\":true,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"password\":false,\"name\":\"soup\",\"display_name\":\"soup\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"Data\",\"list\":false}},\"description\":\"Extracts hyperlinks from parsed HTML content.\",\"base_classes\":[\"list\"],\"display_name\":\"Extract Hyperlinks\",\"custom_fields\":{\"soup\":null},\"output_types\":[\"list\"],\"documentation\":\"\",\"beta\":true,\"error\":null},\"id\":\"CustomComponent-6ST9l\"},\"selected\":false,\"positionAbsolute\":{\"x\":76.10921262566495,\"y\":872.9491114949525},\"dragging\":false},{\"width\":384,\"height\":654,\"id\":\"PromptTemplate-l35W1\",\"type\":\"genericNode\",\"position\":{\"x\":1461.4487148097069,\"y\":1090.896175351284},\"data\":{\"type\":\"PromptTemplate\",\"node\":{\"template\":{\"output_parser\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"password\":false,\"name\":\"output_parser\",\"advanced\":false,\"dynamic\":true,\"info\":\"\",\"type\":\"BaseOutputParser\",\"list\":false,\"display_name\":\"output_parser\"},\"input_types\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"password\":false,\"name\":\"input_types\",\"advanced\":false,\"dynamic\":true,\"info\":\"\",\"type\":\"dict\",\"list\":false,\"display_name\":\"input_types\"},\"input_variables\":{\"required\":true,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"password\":false,\"name\":\"input_variables\",\"advanced\":false,\"dynamic\":true,\"info\":\"\",\"type\":\"str\",\"list\":true,\"value\":[\"url\",\"html_markdown\",\"html_links\",\"query\"],\"display_name\":\"input_variables\"},\"partial_variables\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"password\":false,\"name\":\"partial_variables\",\"advanced\":false,\"dynamic\":true,\"info\":\"\",\"type\":\"dict\",\"list\":false,\"display_name\":\"partial_variables\"},\"template\":{\"required\":true,\"placeholder\":\"\",\"show\":true,\"multiline\":true,\"password\":false,\"name\":\"template\",\"advanced\":false,\"dynamic\":true,\"info\":\"\",\"type\":\"prompt\",\"list\":false,\"value\":\"Below is the HTML content (as markdown) and hyperlinks extracted from {url}\\n\\n---\\n\\nContent:\\n\\n{html_markdown}\\n\\n---\\n\\nLinks:\\n\\n{html_links}\\n\\n---\\n\\nAnswer the user query as best as possible.\\n\\nUser query:\\n\\n{query}\\n\\nAnswer:\\n\",\"display_name\":\"template\"},\"template_format\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"value\":\"f-string\",\"password\":false,\"name\":\"template_format\",\"advanced\":false,\"dynamic\":true,\"info\":\"\",\"type\":\"str\",\"list\":false,\"display_name\":\"template_format\"},\"validate_template\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"value\":false,\"password\":false,\"name\":\"validate_template\",\"advanced\":false,\"dynamic\":true,\"info\":\"\",\"type\":\"bool\",\"list\":false,\"display_name\":\"validate_template\"},\"_type\":\"PromptTemplate\",\"url\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":true,\"value\":\"\",\"password\":false,\"name\":\"url\",\"display_name\":\"url\",\"advanced\":false,\"input_types\":[\"Document\",\"BaseOutputParser\"],\"dynamic\":false,\"info\":\"\",\"type\":\"str\",\"list\":false},\"html_markdown\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":true,\"value\":\"\",\"password\":false,\"name\":\"html_markdown\",\"display_name\":\"html_markdown\",\"advanced\":false,\"input_types\":[\"Document\",\"BaseOutputParser\"],\"dynamic\":false,\"info\":\"\",\"type\":\"str\",\"list\":false},\"html_links\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":true,\"value\":\"\",\"password\":false,\"name\":\"html_links\",\"display_name\":\"html_links\",\"advanced\":false,\"input_types\":[\"Document\",\"BaseOutputParser\"],\"dynamic\":false,\"info\":\"\",\"type\":\"str\",\"list\":false},\"query\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":true,\"value\":\"\",\"password\":false,\"name\":\"query\",\"display_name\":\"query\",\"advanced\":false,\"input_types\":[\"Document\",\"BaseOutputParser\"],\"dynamic\":false,\"info\":\"\",\"type\":\"str\",\"list\":false}},\"description\":\"A prompt template for a language model.\",\"base_classes\":[\"StringPromptTemplate\",\"BasePromptTemplate\",\"PromptTemplate\"],\"name\":\"\",\"display_name\":\"PromptTemplate\",\"documentation\":\"https://python.langchain.com/docs/modules/model_io/prompts/prompt_templates/\",\"custom_fields\":{\"\":[\"url\",\"html_markdown\",\"html_links\",\"query\"]},\"output_types\":[],\"full_path\":null,\"field_formatters\":{},\"beta\":false,\"error\":null},\"id\":\"PromptTemplate-l35W1\"},\"selected\":false,\"positionAbsolute\":{\"x\":1461.4487148097069,\"y\":1090.896175351284},\"dragging\":false},{\"width\":384,\"height\":346,\"id\":\"CustomComponent-iTLf4\",\"type\":\"genericNode\",\"position\":{\"x\":-1924.8908014123388,\"y\":704.5414990162741},\"data\":{\"type\":\"CustomComponent\",\"node\":{\"template\":{\"code\":{\"dynamic\":true,\"required\":true,\"placeholder\":\"\",\"show\":true,\"multiline\":true,\"value\":\"from langflow import CustomComponent\\nfrom langflow.field_typing import Data\\nimport requests\\n\\nclass FetchHTMLContent(CustomComponent):\\n display_name: str = \\\"URL Input\\\"\\n\\n def build(self, url: str) -> str:\\n return url\\n\",\"password\":false,\"name\":\"code\",\"advanced\":false,\"type\":\"code\",\"list\":false,\"display_name\":\"code\"},\"_type\":\"CustomComponent\",\"url\":{\"required\":true,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"password\":false,\"name\":\"url\",\"display_name\":\"url\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"str\",\"list\":false,\"value\":\"https://paperswithcode.com/\"}},\"description\":null,\"base_classes\":[\"str\"],\"display_name\":\"URL Input\",\"custom_fields\":{\"url\":null},\"output_types\":[\"str\"],\"documentation\":\"\",\"beta\":true,\"error\":null},\"id\":\"CustomComponent-iTLf4\"},\"selected\":false,\"positionAbsolute\":{\"x\":-1924.8908014123388,\"y\":704.5414990162741},\"dragging\":false},{\"width\":384,\"height\":328,\"id\":\"CustomComponent-jWLUz\",\"type\":\"genericNode\",\"position\":{\"x\":627.6164007410564,\"y\":1201.2365384322047},\"data\":{\"type\":\"CustomComponent\",\"node\":{\"template\":{\"code\":{\"dynamic\":true,\"required\":true,\"placeholder\":\"\",\"show\":true,\"multiline\":true,\"value\":\"from langflow import CustomComponent\\n\\nclass ListToMarkdownBullets(CustomComponent):\\n display_name: str = \\\"List to Bullets\\\"\\n description: str = \\\"Converts a Python list into Markdown bullet points.\\\"\\n\\n def build(self, items: list) -> str:\\n markdown_bullets = '\\\\n'.join(f'* {item}' for item in items)\\n return markdown_bullets\\n\",\"password\":false,\"name\":\"code\",\"advanced\":false,\"type\":\"code\",\"list\":false,\"display_name\":\"code\"},\"_type\":\"CustomComponent\",\"items\":{\"required\":true,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"password\":false,\"name\":\"items\",\"display_name\":\"items\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"list\",\"list\":true}},\"description\":\"Converts a Python list into Markdown bullet points.\",\"base_classes\":[\"str\"],\"display_name\":\"List to Bullets\",\"custom_fields\":{\"items\":null},\"output_types\":[\"str\"],\"documentation\":\"\",\"beta\":true,\"error\":null},\"id\":\"CustomComponent-jWLUz\"},\"selected\":false,\"positionAbsolute\":{\"x\":627.6164007410564,\"y\":1201.2365384322047},\"dragging\":false}],\"edges\":[{\"source\":\"ChatOpenAI-LA6y0\",\"target\":\"LLMChain-cHel8\",\"sourceHandle\":\"{œbaseClassesœ:[œBaseLanguageModelœ,œChatOpenAIœ,œBaseChatModelœ,œBaseLLMœ],œdataTypeœ:œChatOpenAIœ,œidœ:œChatOpenAI-LA6y0œ}\",\"targetHandle\":\"{œfieldNameœ:œllmœ,œidœ:œLLMChain-cHel8œ,œinputTypesœ:null,œtypeœ:œBaseLanguageModelœ}\",\"id\":\"reactflow__edge-ChatOpenAI-LA6y0{œbaseClassesœ:[œBaseLanguageModelœ,œChatOpenAIœ,œBaseChatModelœ,œBaseLLMœ],œdataTypeœ:œChatOpenAIœ,œidœ:œChatOpenAI-LA6y0œ}-LLMChain-cHel8{œfieldNameœ:œllmœ,œidœ:œLLMChain-cHel8œ,œinputTypesœ:null,œtypeœ:œBaseLanguageModelœ}\",\"data\":{\"targetHandle\":{\"fieldName\":\"llm\",\"id\":\"LLMChain-cHel8\",\"inputTypes\":null,\"type\":\"BaseLanguageModel\"},\"sourceHandle\":{\"baseClasses\":[\"BaseLanguageModel\",\"ChatOpenAI\",\"BaseChatModel\",\"BaseLLM\"],\"dataType\":\"ChatOpenAI\",\"id\":\"ChatOpenAI-LA6y0\"}},\"style\":{\"stroke\":\"#555\"},\"className\":\"stroke-gray-900 stroke-connection\",\"animated\":false,\"selected\":false},{\"source\":\"CustomComponent-zNSTv\",\"sourceHandle\":\"{œbaseClassesœ:[œDataœ],œdataTypeœ:œCustomComponentœ,œidœ:œCustomComponent-zNSTvœ}\",\"target\":\"CustomComponent-ZNoRM\",\"targetHandle\":\"{œfieldNameœ:œhtml_contentœ,œidœ:œCustomComponent-ZNoRMœ,œinputTypesœ:null,œtypeœ:œDataœ}\",\"data\":{\"targetHandle\":{\"fieldName\":\"html_content\",\"id\":\"CustomComponent-ZNoRM\",\"inputTypes\":null,\"type\":\"Data\"},\"sourceHandle\":{\"baseClasses\":[\"Data\"],\"dataType\":\"CustomComponent\",\"id\":\"CustomComponent-zNSTv\"}},\"style\":{\"stroke\":\"#555\"},\"className\":\"stroke-gray-900 stroke-connection\",\"animated\":false,\"id\":\"reactflow__edge-CustomComponent-zNSTv{œbaseClassesœ:[œDataœ],œdataTypeœ:œCustomComponentœ,œidœ:œCustomComponent-zNSTvœ}-CustomComponent-ZNoRM{œfieldNameœ:œhtml_contentœ,œidœ:œCustomComponent-ZNoRMœ,œinputTypesœ:null,œtypeœ:œDataœ}\",\"selected\":false},{\"source\":\"CustomComponent-zNSTv\",\"sourceHandle\":\"{œbaseClassesœ:[œDataœ],œdataTypeœ:œCustomComponentœ,œidœ:œCustomComponent-zNSTvœ}\",\"target\":\"CustomComponent-Ihm2o\",\"targetHandle\":\"{œfieldNameœ:œhtml_contentœ,œidœ:œCustomComponent-Ihm2oœ,œinputTypesœ:null,œtypeœ:œDataœ}\",\"data\":{\"targetHandle\":{\"fieldName\":\"html_content\",\"id\":\"CustomComponent-Ihm2o\",\"inputTypes\":null,\"type\":\"Data\"},\"sourceHandle\":{\"baseClasses\":[\"Data\"],\"dataType\":\"CustomComponent\",\"id\":\"CustomComponent-zNSTv\"}},\"style\":{\"stroke\":\"#555\"},\"className\":\"stroke-gray-900 stroke-connection\",\"animated\":false,\"id\":\"reactflow__edge-CustomComponent-zNSTv{œbaseClassesœ:[œDataœ],œdataTypeœ:œCustomComponentœ,œidœ:œCustomComponent-zNSTvœ}-CustomComponent-Ihm2o{œfieldNameœ:œhtml_contentœ,œidœ:œCustomComponent-Ihm2oœ,œinputTypesœ:null,œtypeœ:œDataœ}\",\"selected\":false},{\"source\":\"CustomComponent-Ihm2o\",\"sourceHandle\":\"{œbaseClassesœ:[œDataœ],œdataTypeœ:œCustomComponentœ,œidœ:œCustomComponent-Ihm2oœ}\",\"target\":\"CustomComponent-6ST9l\",\"targetHandle\":\"{œfieldNameœ:œsoupœ,œidœ:œCustomComponent-6ST9lœ,œinputTypesœ:null,œtypeœ:œDataœ}\",\"data\":{\"targetHandle\":{\"fieldName\":\"soup\",\"id\":\"CustomComponent-6ST9l\",\"inputTypes\":null,\"type\":\"Data\"},\"sourceHandle\":{\"baseClasses\":[\"Data\"],\"dataType\":\"CustomComponent\",\"id\":\"CustomComponent-Ihm2o\"}},\"style\":{\"stroke\":\"#555\"},\"className\":\"stroke-gray-900 stroke-connection\",\"animated\":false,\"id\":\"reactflow__edge-CustomComponent-Ihm2o{œbaseClassesœ:[œDataœ],œdataTypeœ:œCustomComponentœ,œidœ:œCustomComponent-Ihm2oœ}-CustomComponent-6ST9l{œfieldNameœ:œsoupœ,œidœ:œCustomComponent-6ST9lœ,œinputTypesœ:null,œtypeœ:œDataœ}\",\"selected\":false},{\"source\":\"CustomComponent-iTLf4\",\"sourceHandle\":\"{œbaseClassesœ:[œstrœ],œdataTypeœ:œCustomComponentœ,œidœ:œCustomComponent-iTLf4œ}\",\"target\":\"CustomComponent-zNSTv\",\"targetHandle\":\"{œfieldNameœ:œurlœ,œidœ:œCustomComponent-zNSTvœ,œinputTypesœ:[œDataœ,œstrœ],œtypeœ:œstrœ}\",\"data\":{\"targetHandle\":{\"fieldName\":\"url\",\"id\":\"CustomComponent-zNSTv\",\"inputTypes\":[\"Data\",\"str\"],\"type\":\"str\"},\"sourceHandle\":{\"baseClasses\":[\"str\"],\"dataType\":\"CustomComponent\",\"id\":\"CustomComponent-iTLf4\"}},\"style\":{\"stroke\":\"#555\"},\"className\":\"stroke-gray-900 stroke-connection\",\"animated\":false,\"id\":\"reactflow__edge-CustomComponent-iTLf4{œbaseClassesœ:[œstrœ],œdataTypeœ:œCustomComponentœ,œidœ:œCustomComponent-iTLf4œ}-CustomComponent-zNSTv{œfieldNameœ:œurlœ,œidœ:œCustomComponent-zNSTvœ,œinputTypesœ:[œDataœ,œstrœ],œtypeœ:œstrœ}\",\"selected\":false},{\"source\":\"CustomComponent-iTLf4\",\"sourceHandle\":\"{œbaseClassesœ:[œstrœ],œdataTypeœ:œCustomComponentœ,œidœ:œCustomComponent-iTLf4œ}\",\"target\":\"PromptTemplate-l35W1\",\"targetHandle\":\"{œfieldNameœ:œurlœ,œidœ:œPromptTemplate-l35W1œ,œinputTypesœ:[œDocumentœ,œBaseOutputParserœ],œtypeœ:œstrœ}\",\"data\":{\"targetHandle\":{\"fieldName\":\"url\",\"id\":\"PromptTemplate-l35W1\",\"inputTypes\":[\"Document\",\"BaseOutputParser\"],\"type\":\"str\"},\"sourceHandle\":{\"baseClasses\":[\"str\"],\"dataType\":\"CustomComponent\",\"id\":\"CustomComponent-iTLf4\"}},\"style\":{\"stroke\":\"#555\"},\"className\":\"stroke-gray-900 stroke-connection\",\"animated\":false,\"id\":\"reactflow__edge-CustomComponent-iTLf4{œbaseClassesœ:[œstrœ],œdataTypeœ:œCustomComponentœ,œidœ:œCustomComponent-iTLf4œ}-PromptTemplate-l35W1{œfieldNameœ:œurlœ,œidœ:œPromptTemplate-l35W1œ,œinputTypesœ:[œDocumentœ,œBaseOutputParserœ],œtypeœ:œstrœ}\",\"selected\":false},{\"source\":\"CustomComponent-6ST9l\",\"sourceHandle\":\"{œbaseClassesœ:[œlistœ],œdataTypeœ:œCustomComponentœ,œidœ:œCustomComponent-6ST9lœ}\",\"target\":\"CustomComponent-jWLUz\",\"targetHandle\":\"{œfieldNameœ:œitemsœ,œidœ:œCustomComponent-jWLUzœ,œinputTypesœ:null,œtypeœ:œlistœ}\",\"data\":{\"targetHandle\":{\"fieldName\":\"items\",\"id\":\"CustomComponent-jWLUz\",\"inputTypes\":null,\"type\":\"list\"},\"sourceHandle\":{\"baseClasses\":[\"list\"],\"dataType\":\"CustomComponent\",\"id\":\"CustomComponent-6ST9l\"}},\"style\":{\"stroke\":\"#555\"},\"className\":\"stroke-gray-900 stroke-connection\",\"animated\":false,\"id\":\"reactflow__edge-CustomComponent-6ST9l{œbaseClassesœ:[œlistœ],œdataTypeœ:œCustomComponentœ,œidœ:œCustomComponent-6ST9lœ}-CustomComponent-jWLUz{œfieldNameœ:œitemsœ,œidœ:œCustomComponent-jWLUzœ,œinputTypesœ:null,œtypeœ:œlistœ}\",\"selected\":false},{\"source\":\"CustomComponent-jWLUz\",\"sourceHandle\":\"{œbaseClassesœ:[œstrœ],œdataTypeœ:œCustomComponentœ,œidœ:œCustomComponent-jWLUzœ}\",\"target\":\"PromptTemplate-l35W1\",\"targetHandle\":\"{œfieldNameœ:œhtml_linksœ,œidœ:œPromptTemplate-l35W1œ,œinputTypesœ:[œDocumentœ,œBaseOutputParserœ],œtypeœ:œstrœ}\",\"data\":{\"targetHandle\":{\"fieldName\":\"html_links\",\"id\":\"PromptTemplate-l35W1\",\"inputTypes\":[\"Document\",\"BaseOutputParser\"],\"type\":\"str\"},\"sourceHandle\":{\"baseClasses\":[\"str\"],\"dataType\":\"CustomComponent\",\"id\":\"CustomComponent-jWLUz\"}},\"style\":{\"stroke\":\"#555\"},\"className\":\"stroke-gray-900 stroke-connection\",\"animated\":false,\"id\":\"reactflow__edge-CustomComponent-jWLUz{œbaseClassesœ:[œstrœ],œdataTypeœ:œCustomComponentœ,œidœ:œCustomComponent-jWLUzœ}-PromptTemplate-l35W1{œfieldNameœ:œhtml_linksœ,œidœ:œPromptTemplate-l35W1œ,œinputTypesœ:[œDocumentœ,œBaseOutputParserœ],œtypeœ:œstrœ}\",\"selected\":false},{\"source\":\"CustomComponent-ZNoRM\",\"sourceHandle\":\"{œbaseClassesœ:[œstrœ],œdataTypeœ:œCustomComponentœ,œidœ:œCustomComponent-ZNoRMœ}\",\"target\":\"PromptTemplate-l35W1\",\"targetHandle\":\"{œfieldNameœ:œhtml_markdownœ,œidœ:œPromptTemplate-l35W1œ,œinputTypesœ:[œDocumentœ,œBaseOutputParserœ],œtypeœ:œstrœ}\",\"data\":{\"targetHandle\":{\"fieldName\":\"html_markdown\",\"id\":\"PromptTemplate-l35W1\",\"inputTypes\":[\"Document\",\"BaseOutputParser\"],\"type\":\"str\"},\"sourceHandle\":{\"baseClasses\":[\"str\"],\"dataType\":\"CustomComponent\",\"id\":\"CustomComponent-ZNoRM\"}},\"style\":{\"stroke\":\"#555\"},\"className\":\"stroke-gray-900 stroke-connection\",\"animated\":false,\"id\":\"reactflow__edge-CustomComponent-ZNoRM{œbaseClassesœ:[œstrœ],œdataTypeœ:œCustomComponentœ,œidœ:œCustomComponent-ZNoRMœ}-PromptTemplate-l35W1{œfieldNameœ:œhtml_markdownœ,œidœ:œPromptTemplate-l35W1œ,œinputTypesœ:[œDocumentœ,œBaseOutputParserœ],œtypeœ:œstrœ}\",\"selected\":false},{\"source\":\"PromptTemplate-l35W1\",\"sourceHandle\":\"{œbaseClassesœ:[œStringPromptTemplateœ,œBasePromptTemplateœ,œPromptTemplateœ],œdataTypeœ:œPromptTemplateœ,œidœ:œPromptTemplate-l35W1œ}\",\"target\":\"LLMChain-cHel8\",\"targetHandle\":\"{œfieldNameœ:œpromptœ,œidœ:œLLMChain-cHel8œ,œinputTypesœ:null,œtypeœ:œBasePromptTemplateœ}\",\"data\":{\"targetHandle\":{\"fieldName\":\"prompt\",\"id\":\"LLMChain-cHel8\",\"inputTypes\":null,\"type\":\"BasePromptTemplate\"},\"sourceHandle\":{\"baseClasses\":[\"StringPromptTemplate\",\"BasePromptTemplate\",\"PromptTemplate\"],\"dataType\":\"PromptTemplate\",\"id\":\"PromptTemplate-l35W1\"}},\"style\":{\"stroke\":\"#555\"},\"className\":\"stroke-gray-900 stroke-connection\",\"animated\":false,\"id\":\"reactflow__edge-PromptTemplate-mJqEg{œbaseClassesœ:[œStringPromptTemplateœ,œBasePromptTemplateœ,œPromptTemplateœ],œdataTypeœ:œPromptTemplateœ,œidœ:œPromptTemplate-mJqEgœ}-LLMChain-cHel8{œfieldNameœ:œpromptœ,œidœ:œLLMChain-cHel8œ,œinputTypesœ:null,œtypeœ:œBasePromptTemplateœ}\"}],\"viewport\":{\"x\":206.6159172940935,\"y\":79.94375811155385,\"zoom\":0.5140569133280333}},\"is_component\":false,\"updated_at\":\"2023-12-06T00:23:04.515144\",\"folder\":null,\"id\":\"ecfb377a-7e88-405d-8d66-7560735ce446\",\"user_id\":\"d253bfba-6368-44dc-85f7-0d6da9e45968\"},{\"name\":\"Lonely Lovelace\",\"description\":\"Smart Chains, Smarter Conversations.\",\"data\":{\"nodes\":[],\"edges\":[],\"viewport\":{\"zoom\":1,\"x\":0,\"y\":0}},\"is_component\":false,\"updated_at\":\"2023-12-04T23:43:25.925753\",\"folder\":null,\"id\":\"30e71767-6128-40e4-9a6d-b9197b679971\",\"user_id\":\"d253bfba-6368-44dc-85f7-0d6da9e45968\"},{\"name\":\"Custom Component\",\"description\":\"Create any custom component you want!\",\"data\":{\"edges\":[],\"nodes\":[{\"data\":{\"type\":\"CustomComponent\",\"node\":{\"template\":{\"code\":{\"dynamic\":true,\"required\":true,\"placeholder\":\"\",\"show\":true,\"multiline\":true,\"value\":\"from langflow import CustomComponent\\nfrom langflow.field_typing import Data\\n\\n\\nclass Component(CustomComponent):\\n display_name: str = \\\"Custom Component\\\"\\n description: str = \\\"Create any custom component you want!\\\"\\n documentation: str = \\\"http://docs.langflow.org/components/custom\\\"\\n\\n def build_config(self):\\n return {\\\"param\\\": {\\\"display_name\\\": \\\"Parameter\\\"}}\\n\\n def build(self, param: Data) -> Data:\\n return param\\n\",\"password\":false,\"name\":\"code\",\"advanced\":false,\"type\":\"code\",\"list\":false},\"_type\":\"CustomComponent\",\"param\":{\"required\":true,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"password\":false,\"name\":\"param\",\"display_name\":\"Parameter\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"Data\",\"list\":false}},\"description\":\"Create any custom component you want!\",\"base_classes\":[\"Data\"],\"display_name\":\"Custom Component\",\"custom_fields\":{\"param\":null},\"output_types\":[\"CustomComponent\"],\"documentation\":\"http://docs.langflow.org/components/custom\",\"beta\":true,\"error\":null,\"official\":false},\"id\":\"CustomComponent-IxJqc\"},\"id\":\"CustomComponent-IxJqc\",\"position\":{\"x\":0,\"y\":0},\"type\":\"genericNode\"}],\"viewport\":{\"x\":1,\"y\":1,\"zoom\":1}},\"is_component\":true,\"updated_at\":\"2023-12-05T22:08:27.080204\",\"folder\":null,\"id\":\"f3c56abb-96d8-4a09-80d3-f60181661b3c\",\"user_id\":\"d253bfba-6368-44dc-85f7-0d6da9e45968\"},{\"name\":\"Amazing Wilson\",\"description\":\"Unfolding Linguistic Possibilities.\",\"data\":{\"nodes\":[],\"edges\":[],\"viewport\":{\"zoom\":1,\"x\":0,\"y\":0}},\"is_component\":false,\"updated_at\":\"2023-12-05T23:49:58.272677\",\"folder\":null,\"id\":\"324499a6-17a6-49de-96b1-b88955ed2c3d\",\"user_id\":\"d253bfba-6368-44dc-85f7-0d6da9e45968\"},{\"name\":\"Nauseous Kowalevski\",\"description\":\"Create, Curate, Communicate with Langflow.\",\"data\":{\"nodes\":[],\"edges\":[],\"viewport\":{\"zoom\":1,\"x\":0,\"y\":0}},\"is_component\":false,\"updated_at\":\"2023-12-06T22:45:27.084387\",\"folder\":null,\"id\":\"e3168485-d31b-472a-907f-faf833bf7824\",\"user_id\":\"d253bfba-6368-44dc-85f7-0d6da9e45968\"},{\"name\":\"Silly Fermi\",\"description\":\"Craft Meaningful Interactions, Generate Value.\",\"data\":{\"nodes\":[],\"edges\":[],\"viewport\":{\"zoom\":1,\"x\":0,\"y\":0}},\"is_component\":false,\"updated_at\":\"2023-12-06T22:45:57.134463\",\"folder\":null,\"id\":\"d0ecea5d-bcf9-4b8e-88f0-3c243d309336\",\"user_id\":\"d253bfba-6368-44dc-85f7-0d6da9e45968\"},{\"name\":\"Friendly Ardinghelli\",\"description\":\"Smart Chains, Smarter Conversations.\",\"data\":{\"nodes\":[],\"edges\":[],\"viewport\":{\"zoom\":1,\"x\":0,\"y\":0}},\"is_component\":false,\"updated_at\":\"2023-12-06T22:45:57.138184\",\"folder\":null,\"id\":\"a406912d-b0e2-4954-bef3-ee80c29eca3c\",\"user_id\":\"d253bfba-6368-44dc-85f7-0d6da9e45968\"},{\"name\":\"Gleeful Easley\",\"description\":\"Bridging Prompts for Brilliance.\",\"data\":{\"nodes\":[],\"edges\":[],\"viewport\":{\"zoom\":1,\"x\":0,\"y\":0}},\"is_component\":false,\"updated_at\":\"2023-12-06T22:45:57.162908\",\"folder\":null,\"id\":\"57b32155-4c6e-4823-ad03-8dd09d8abc62\",\"user_id\":\"d253bfba-6368-44dc-85f7-0d6da9e45968\"},{\"name\":\"Effervescent Varahamihira\",\"description\":\"Create, Chain, Communicate.\",\"data\":{\"nodes\":[],\"edges\":[],\"viewport\":{\"zoom\":1,\"x\":0,\"y\":0}},\"is_component\":false,\"updated_at\":\"2023-12-06T22:45:57.135644\",\"folder\":null,\"id\":\"18daa0ff-2e5d-457a-95d7-710affec5c4d\",\"user_id\":\"d253bfba-6368-44dc-85f7-0d6da9e45968\"},{\"name\":\"Jubilant Joliot\",\"description\":\"Language Architect at Work!\",\"data\":{\"nodes\":[],\"edges\":[],\"viewport\":{\"zoom\":1,\"x\":0,\"y\":0}},\"is_component\":false,\"updated_at\":\"2023-12-06T22:45:57.139496\",\"folder\":null,\"id\":\"9255e938-280e-4ce7-91cd-8622126a7d02\",\"user_id\":\"d253bfba-6368-44dc-85f7-0d6da9e45968\"},{\"name\":\"Adoring Carroll\",\"description\":\"Nurture NLP Nodes Here.\",\"data\":{\"nodes\":[],\"edges\":[],\"viewport\":{\"zoom\":1,\"x\":0,\"y\":0}},\"is_component\":false,\"updated_at\":\"2023-12-06T22:45:57.162240\",\"folder\":null,\"id\":\"a7a680b9-30b1-4438-ac24-da597de443aa\",\"user_id\":\"d253bfba-6368-44dc-85f7-0d6da9e45968\"},{\"name\":\"Berserk Herschel\",\"description\":\"Your Hub for Text Generation.\",\"data\":{\"nodes\":[],\"edges\":[],\"viewport\":{\"zoom\":1,\"x\":0,\"y\":0}},\"is_component\":false,\"updated_at\":\"2023-12-06T22:46:02.593504\",\"folder\":null,\"id\":\"37a439b0-7b1d-45e3-b4fa-5c73669bae3b\",\"user_id\":\"d253bfba-6368-44dc-85f7-0d6da9e45968\"},{\"name\":\"Distracted Joliot\",\"description\":\"Conversational Cartography Unlocked.\",\"data\":{\"nodes\":[],\"edges\":[],\"viewport\":{\"zoom\":1,\"x\":0,\"y\":0}},\"is_component\":false,\"updated_at\":\"2023-12-06T22:47:04.845238\",\"folder\":null,\"id\":\"4d23fd0a-8ad5-46b9-bb99-eed4138e7426\",\"user_id\":\"d253bfba-6368-44dc-85f7-0d6da9e45968\"},{\"name\":\"Happy Babbage\",\"description\":\"Flow into the Future of Language.\",\"data\":{\"nodes\":[],\"edges\":[],\"viewport\":{\"zoom\":1,\"x\":0,\"y\":0}},\"is_component\":false,\"updated_at\":\"2023-12-06T22:47:41.899665\",\"folder\":null,\"id\":\"1c8ad5b9-5524-41fe-a762-52c75126b832\",\"user_id\":\"d253bfba-6368-44dc-85f7-0d6da9e45968\"},{\"name\":\"Adoring Brown\",\"description\":\"Unlock the Power of AI in Your Business Conversations.\",\"data\":{\"nodes\":[],\"edges\":[],\"viewport\":{\"zoom\":1,\"x\":0,\"y\":0}},\"is_component\":false,\"updated_at\":\"2023-12-06T22:47:42.702031\",\"folder\":null,\"id\":\"9d4c8e79-4904-4a51-a4bb-146c3d8db10e\",\"user_id\":\"d253bfba-6368-44dc-85f7-0d6da9e45968\"},{\"name\":\"Focused Mahavira\",\"description\":\"Design, Develop, Dialogize.\",\"data\":{\"nodes\":[],\"edges\":[],\"viewport\":{\"zoom\":1,\"x\":0,\"y\":0}},\"is_component\":false,\"updated_at\":\"2023-12-06T22:47:42.786331\",\"folder\":null,\"id\":\"4ba370d1-1f8e-4a23-99aa-99e2cd9b7cbf\",\"user_id\":\"d253bfba-6368-44dc-85f7-0d6da9e45968\"},{\"name\":\"Mad Gates\",\"description\":\"Where Language Meets Logic.\",\"data\":{\"nodes\":[],\"edges\":[],\"viewport\":{\"zoom\":1,\"x\":0,\"y\":0}},\"is_component\":false,\"updated_at\":\"2023-12-06T22:47:42.838989\",\"folder\":null,\"id\":\"992c3cd3-1d79-4986-8c04-88a34130fa30\",\"user_id\":\"d253bfba-6368-44dc-85f7-0d6da9e45968\"},{\"name\":\"Serene Mcclintock\",\"description\":\"Unlock the Power of AI in Your Business Conversations.\",\"data\":{\"nodes\":[],\"edges\":[],\"viewport\":{\"zoom\":1,\"x\":0,\"y\":0}},\"is_component\":false,\"updated_at\":\"2023-12-06T22:47:42.932723\",\"folder\":null,\"id\":\"a65bfd13-44df-4090-aca0-5057e21e9997\",\"user_id\":\"d253bfba-6368-44dc-85f7-0d6da9e45968\"},{\"name\":\"Berserk Feynman\",\"description\":\"Text Generation Meets Business Transformation.\",\"data\":{\"nodes\":[],\"edges\":[],\"viewport\":{\"zoom\":1,\"x\":0,\"y\":0}},\"is_component\":false,\"updated_at\":\"2023-12-06T22:47:42.931359\",\"folder\":null,\"id\":\"7a05dac5-c005-411d-9994-19d61e71ce78\",\"user_id\":\"d253bfba-6368-44dc-85f7-0d6da9e45968\"},{\"name\":\"Sprightly Perlman\",\"description\":\"Interactive Language Weaving.\",\"data\":{\"nodes\":[],\"edges\":[],\"viewport\":{\"zoom\":1,\"x\":0,\"y\":0}},\"is_component\":false,\"updated_at\":\"2023-12-06T22:47:43.054687\",\"folder\":null,\"id\":\"6db24541-7211-48e6-a792-1a4a99a0ef90\",\"user_id\":\"d253bfba-6368-44dc-85f7-0d6da9e45968\"},{\"name\":\"Jolly Colden\",\"description\":\"Flow into the Future of Language.\",\"data\":{\"nodes\":[],\"edges\":[],\"viewport\":{\"zoom\":1,\"x\":0,\"y\":0}},\"is_component\":false,\"updated_at\":\"2023-12-06T22:47:43.078384\",\"folder\":null,\"id\":\"13ac42e8-9124-4bf4-9ea2-28671ef2d9a4\",\"user_id\":\"d253bfba-6368-44dc-85f7-0d6da9e45968\"},{\"name\":\"Gleeful Kaku\",\"description\":\"The Power of Language at Your Fingertips.\",\"data\":{\"nodes\":[],\"edges\":[],\"viewport\":{\"zoom\":1,\"x\":0,\"y\":0}},\"is_component\":false,\"updated_at\":\"2023-12-06T22:50:33.156776\",\"folder\":null,\"id\":\"79262d75-5c62-4b14-b067-f4297f5c912f\",\"user_id\":\"d253bfba-6368-44dc-85f7-0d6da9e45968\"},{\"name\":\"Jovial Khayyam\",\"description\":\"Empowering Communication, Enabling Opportunities.\",\"data\":{\"nodes\":[],\"edges\":[],\"viewport\":{\"zoom\":1,\"x\":0,\"y\":0}},\"is_component\":false,\"updated_at\":\"2023-12-06T22:51:13.295375\",\"folder\":null,\"id\":\"3b397e74-d8be-4728-9d6c-05f7c78106a7\",\"user_id\":\"d253bfba-6368-44dc-85f7-0d6da9e45968\"},{\"name\":\"Goofy Mccarthy\",\"description\":\"Building Powerful Solutions with Language Models.\",\"data\":{\"nodes\":[],\"edges\":[],\"viewport\":{\"zoom\":1,\"x\":0,\"y\":0}},\"is_component\":false,\"updated_at\":\"2023-12-06T22:51:27.632685\",\"folder\":null,\"id\":\"13f4e1fd-45eb-4271-92fd-0d70a31c61d2\",\"user_id\":\"d253bfba-6368-44dc-85f7-0d6da9e45968\"},{\"name\":\"Cocky Lalande\",\"description\":\"Building Intelligent Interactions.\",\"data\":{\"nodes\":[],\"edges\":[],\"viewport\":{\"zoom\":1,\"x\":0,\"y\":0}},\"is_component\":false,\"updated_at\":\"2023-12-06T22:51:54.628983\",\"folder\":null,\"id\":\"9cfd60d8-9311-47b0-b71b-f488f1940bc7\",\"user_id\":\"d253bfba-6368-44dc-85f7-0d6da9e45968\"},{\"name\":\"Romantic Mirzakhani\",\"description\":\"Innovation in Interaction with Langflow.\",\"data\":{\"nodes\":[],\"edges\":[],\"viewport\":{\"zoom\":1,\"x\":0,\"y\":0}},\"is_component\":false,\"updated_at\":\"2023-12-06T22:52:52.622698\",\"folder\":null,\"id\":\"0d849403-0f75-455d-b4e4-0d622ee3305a\",\"user_id\":\"d253bfba-6368-44dc-85f7-0d6da9e45968\"},{\"name\":\"Grinning Brown\",\"description\":\"Building Powerful Solutions with Language Models.\",\"data\":{\"nodes\":[],\"edges\":[],\"viewport\":{\"zoom\":1,\"x\":0,\"y\":0}},\"is_component\":false,\"updated_at\":\"2023-12-06T22:53:06.056636\",\"folder\":null,\"id\":\"8643ba14-52d6-4d36-9981-5fd37de5dd76\",\"user_id\":\"d253bfba-6368-44dc-85f7-0d6da9e45968\"},{\"name\":\"Kickass Watt\",\"description\":\"Transform Your Business with Smart Dialogues.\",\"data\":{\"nodes\":[],\"edges\":[],\"viewport\":{\"zoom\":1,\"x\":0,\"y\":0}},\"is_component\":false,\"updated_at\":\"2023-12-06T22:53:23.338727\",\"folder\":null,\"id\":\"818d3066-bf08-4bf9-adcd-739f8abbfa5d\",\"user_id\":\"d253bfba-6368-44dc-85f7-0d6da9e45968\"},{\"name\":\"Goofy Bose\",\"description\":\"Unravel the Art of Articulation.\",\"data\":{\"nodes\":[],\"edges\":[],\"viewport\":{\"zoom\":1,\"x\":0,\"y\":0}},\"is_component\":false,\"updated_at\":\"2023-12-06T22:53:41.218861\",\"folder\":null,\"id\":\"28eff43e-0ecf-47bf-9851-f1492589978e\",\"user_id\":\"d253bfba-6368-44dc-85f7-0d6da9e45968\"},{\"name\":\"Optimistic Jennings\",\"description\":\"Create Powerful Connections, Boost Business Value.\",\"data\":{\"nodes\":[],\"edges\":[],\"viewport\":{\"zoom\":1,\"x\":0,\"y\":0}},\"is_component\":false,\"updated_at\":\"2023-12-06T22:55:03.681106\",\"folder\":null,\"id\":\"68f59069-bc2a-464f-a983-4b61e32e01af\",\"user_id\":\"d253bfba-6368-44dc-85f7-0d6da9e45968\"},{\"name\":\"Pedantic Mirzakhani\",\"description\":\"Language Chainlink Master.\",\"data\":{\"nodes\":[],\"edges\":[],\"viewport\":{\"zoom\":1,\"x\":0,\"y\":0}},\"is_component\":false,\"updated_at\":\"2023-12-06T22:55:31.761949\",\"folder\":null,\"id\":\"5d981c0e-81b3-44cc-a5be-8f55b92bfed5\",\"user_id\":\"d253bfba-6368-44dc-85f7-0d6da9e45968\"},{\"name\":\"Peppy Murdock\",\"description\":\"Create Powerful Connections, Boost Business Value.\",\"data\":{\"nodes\":[],\"edges\":[],\"viewport\":{\"zoom\":1,\"x\":0,\"y\":0}},\"is_component\":false,\"updated_at\":\"2023-12-06T22:56:45.548598\",\"folder\":null,\"id\":\"e812ad47-47e8-422b-b94c-84fd0263c9c8\",\"user_id\":\"d253bfba-6368-44dc-85f7-0d6da9e45968\"},{\"name\":\"Berserk Fermat\",\"description\":\"Maximize Impact with Intelligent Conversations.\",\"data\":{\"nodes\":[],\"edges\":[],\"viewport\":{\"zoom\":1,\"x\":0,\"y\":0}},\"is_component\":false,\"updated_at\":\"2023-12-06T22:58:50.234270\",\"folder\":null,\"id\":\"82aaf449-e737-4699-9360-929ab6108dc7\",\"user_id\":\"d253bfba-6368-44dc-85f7-0d6da9e45968\"},{\"name\":\"Tiny Albattani\",\"description\":\"Your Toolkit for Text Generation.\",\"data\":{\"nodes\":[],\"edges\":[],\"viewport\":{\"zoom\":1,\"x\":0,\"y\":0}},\"is_component\":false,\"updated_at\":\"2023-12-06T22:59:53.946035\",\"folder\":null,\"id\":\"097cb080-274b-40ca-8dde-7900a949568a\",\"user_id\":\"d253bfba-6368-44dc-85f7-0d6da9e45968\"},{\"name\":\"Cranky Kirch\",\"description\":\"Sculpting Language with Precision.\",\"data\":{\"nodes\":[],\"edges\":[],\"viewport\":{\"zoom\":1,\"x\":0,\"y\":0}},\"is_component\":false,\"updated_at\":\"2023-12-06T23:00:51.745350\",\"folder\":null,\"id\":\"837d7b5f-8495-46a9-b00e-ad1b7ebb52f4\",\"user_id\":\"d253bfba-6368-44dc-85f7-0d6da9e45968\"},{\"name\":\"Effervescent Kowalevski\",\"description\":\"Empowering Language Engineering.\",\"data\":{\"nodes\":[],\"edges\":[],\"viewport\":{\"zoom\":1,\"x\":0,\"y\":0}},\"is_component\":false,\"updated_at\":\"2023-12-06T23:02:53.336102\",\"folder\":null,\"id\":\"3ff079c2-d9f9-4da6-a22a-423fa35670ff\",\"user_id\":\"d253bfba-6368-44dc-85f7-0d6da9e45968\"},{\"name\":\"Radiant Stallman\",\"description\":\"Navigate the Linguistic Landscape, Discover Opportunities.\",\"data\":{\"nodes\":[],\"edges\":[],\"viewport\":{\"zoom\":1,\"x\":0,\"y\":0}},\"is_component\":false,\"updated_at\":\"2023-12-06T23:03:28.268357\",\"folder\":null,\"id\":\"c8b204dd-3d57-4bc8-aa13-1d559672e75b\",\"user_id\":\"d253bfba-6368-44dc-85f7-0d6da9e45968\"},{\"name\":\"Grinning Swirles\",\"description\":\"Unleashing Linguistic Creativity.\",\"data\":{\"nodes\":[],\"edges\":[],\"viewport\":{\"zoom\":1,\"x\":0,\"y\":0}},\"is_component\":false,\"updated_at\":\"2023-12-06T23:03:51.194455\",\"folder\":null,\"id\":\"a097f083-5880-4cf7-986b-51898bc68e11\",\"user_id\":\"d253bfba-6368-44dc-85f7-0d6da9e45968\"},{\"name\":\"Dreamy Williams\",\"description\":\"Interactive Language Weaving.\",\"data\":{\"nodes\":[],\"edges\":[],\"viewport\":{\"zoom\":1,\"x\":0,\"y\":0}},\"is_component\":false,\"updated_at\":\"2023-12-06T23:04:36.678251\",\"folder\":null,\"id\":\"d9585f63-ce76-42ce-87bc-8e69601ea5c6\",\"user_id\":\"d253bfba-6368-44dc-85f7-0d6da9e45968\"},{\"name\":\"Zany Hawking\",\"description\":\"Flow into the Future of Language.\",\"data\":{\"nodes\":[],\"edges\":[],\"viewport\":{\"zoom\":1,\"x\":0,\"y\":0}},\"is_component\":false,\"updated_at\":\"2023-12-06T23:05:13.672479\",\"folder\":null,\"id\":\"612a01d5-8c8d-4cc1-8c54-35626b7f4a6d\",\"user_id\":\"d253bfba-6368-44dc-85f7-0d6da9e45968\"},{\"name\":\"Amazing Kilby\",\"description\":\"Your Toolkit for Text Generation.\",\"data\":{\"nodes\":[],\"edges\":[],\"viewport\":{\"zoom\":1,\"x\":0,\"y\":0}},\"is_component\":false,\"updated_at\":\"2023-12-06T23:10:37.047955\",\"folder\":null,\"id\":\"2d05a598-3cdf-452a-bd5d-b0e569e562e3\",\"user_id\":\"d253bfba-6368-44dc-85f7-0d6da9e45968\"},{\"name\":\"Insane Cori\",\"description\":\"Empowering Communication, Enabling Opportunities.\",\"data\":{\"nodes\":[],\"edges\":[],\"viewport\":{\"zoom\":1,\"x\":0,\"y\":0}},\"is_component\":false,\"updated_at\":\"2023-12-06T23:18:12.426578\",\"folder\":null,\"id\":\"d1769a4a-c1e9-4d74-9273-1e76cfcf21f3\",\"user_id\":\"d253bfba-6368-44dc-85f7-0d6da9e45968\"},{\"name\":\"Compassionate Tesla\",\"description\":\"Graph Your Way to Great Conversations.\",\"data\":{\"nodes\":[],\"edges\":[],\"viewport\":{\"zoom\":1,\"x\":0,\"y\":0}},\"is_component\":false,\"updated_at\":\"2023-12-06T23:18:52.806238\",\"folder\":null,\"id\":\"28c5d9dd-0466-4c80-9e58-b1e061cd358d\",\"user_id\":\"d253bfba-6368-44dc-85f7-0d6da9e45968\"},{\"name\":\"Jubilant Goldstine\",\"description\":\"Harness the Power of Conversational AI.\",\"data\":{\"nodes\":[],\"edges\":[],\"viewport\":{\"zoom\":1,\"x\":0,\"y\":0}},\"is_component\":false,\"updated_at\":\"2023-12-06T23:21:44.488510\",\"folder\":null,\"id\":\"b3c57e4f-28a1-4580-bf08-a9484bdd66e8\",\"user_id\":\"d253bfba-6368-44dc-85f7-0d6da9e45968\"},{\"name\":\"Elegant Curie\",\"description\":\"Building Intelligent Interactions.\",\"data\":{\"nodes\":[],\"edges\":[],\"viewport\":{\"zoom\":1,\"x\":0,\"y\":0}},\"is_component\":false,\"updated_at\":\"2023-12-07T00:23:47.610237\",\"folder\":null,\"id\":\"28fb024e-6ba1-4f5b-83b3-4742b3b8117c\",\"user_id\":\"d253bfba-6368-44dc-85f7-0d6da9e45968\"},{\"name\":\"Twinkly Chandrasekhar\",\"description\":\"Maximize Impact with Intelligent Conversations.\",\"data\":{\"nodes\":[],\"edges\":[],\"viewport\":{\"zoom\":1,\"x\":0,\"y\":0}},\"is_component\":false,\"updated_at\":\"2023-12-07T00:24:29.824530\",\"folder\":null,\"id\":\"d2b87cf7-9167-4030-8e9f-b8d9aa0cadee\",\"user_id\":\"d253bfba-6368-44dc-85f7-0d6da9e45968\"},{\"name\":\"Pensive Nobel\",\"description\":\"Crafting Dialogues that Drive Business Success.\",\"data\":{\"nodes\":[],\"edges\":[],\"viewport\":{\"zoom\":1,\"x\":0,\"y\":0}},\"is_component\":false,\"updated_at\":\"2023-12-07T00:26:51.210699\",\"folder\":null,\"id\":\"c2c9fbac-7d97-40c2-8055-dff608df9414\",\"user_id\":\"d253bfba-6368-44dc-85f7-0d6da9e45968\"},{\"name\":\"Elated Edison\",\"description\":\"Advanced NLP for Groundbreaking Business Solutions.\",\"data\":{\"nodes\":[],\"edges\":[],\"viewport\":{\"zoom\":1,\"x\":0,\"y\":0}},\"is_component\":false,\"updated_at\":\"2023-12-07T00:27:35.822482\",\"folder\":null,\"id\":\"a55561cd-4b25-473f-bde5-884cbabb0d24\",\"user_id\":\"d253bfba-6368-44dc-85f7-0d6da9e45968\"},{\"name\":\"Dazzling Lichterman\",\"description\":\"Building Linguistic Labyrinths.\",\"data\":{\"nodes\":[],\"edges\":[],\"viewport\":{\"zoom\":1,\"x\":0,\"y\":0}},\"is_component\":false,\"updated_at\":\"2023-12-07T00:29:09.259381\",\"folder\":null,\"id\":\"9c6fe6d4-8311-4fc6-8b02-2a816d7c059d\",\"user_id\":\"d253bfba-6368-44dc-85f7-0d6da9e45968\"},{\"name\":\"Distracted Bhaskara\",\"description\":\"Navigate the Networks of Conversation.\",\"data\":{\"nodes\":[],\"edges\":[],\"viewport\":{\"zoom\":1,\"x\":0,\"y\":0}},\"is_component\":false,\"updated_at\":\"2023-12-07T00:31:36.053452\",\"folder\":null,\"id\":\"ef6fc1ab-aff8-45a1-8cd5-bc8e38565e4d\",\"user_id\":\"d253bfba-6368-44dc-85f7-0d6da9e45968\"},{\"name\":\"Evil Watt\",\"description\":\"Building Intelligent Interactions.\",\"data\":{\"nodes\":[],\"edges\":[],\"viewport\":{\"zoom\":1,\"x\":0,\"y\":0}},\"is_component\":false,\"updated_at\":\"2023-12-07T00:32:26.765250\",\"folder\":null,\"id\":\"499b5351-9c09-4934-9f9d-a24be2fd8b24\",\"user_id\":\"d253bfba-6368-44dc-85f7-0d6da9e45968\"},{\"name\":\"Jolly Wien\",\"description\":\"Bridging Prompts for Brilliance.\",\"data\":{\"nodes\":[],\"edges\":[],\"viewport\":{\"zoom\":1,\"x\":0,\"y\":0}},\"is_component\":false,\"updated_at\":\"2023-12-07T00:33:23.648859\",\"folder\":null,\"id\":\"a57eda91-7f6e-410d-9990-385fe0c724f3\",\"user_id\":\"d253bfba-6368-44dc-85f7-0d6da9e45968\"},{\"name\":\"Nostalgic Spence\",\"description\":\"Mapping Meaningful Conversations.\",\"data\":{\"nodes\":[],\"edges\":[],\"viewport\":{\"zoom\":1,\"x\":0,\"y\":0}},\"is_component\":false,\"updated_at\":\"2023-12-07T00:34:22.576407\",\"folder\":null,\"id\":\"685f685e-8a1b-4b7e-9e21-6cdd72163c91\",\"user_id\":\"d253bfba-6368-44dc-85f7-0d6da9e45968\"},{\"name\":\"Comical Fermat\",\"description\":\"Create, Connect, Converse.\",\"data\":{\"nodes\":[],\"edges\":[],\"viewport\":{\"zoom\":1,\"x\":0,\"y\":0}},\"is_component\":false,\"updated_at\":\"2023-12-07T00:35:44.920540\",\"folder\":null,\"id\":\"3e061766-b834-4fa4-ba9c-b060925d9703\",\"user_id\":\"d253bfba-6368-44dc-85f7-0d6da9e45968\"},{\"name\":\"Grave Volta\",\"description\":\"Maximize Impact with Intelligent Conversations.\",\"data\":{\"nodes\":[],\"edges\":[],\"viewport\":{\"zoom\":1,\"x\":0,\"y\":0}},\"is_component\":false,\"updated_at\":\"2023-12-07T00:36:33.001572\",\"folder\":null,\"id\":\"135f2fd9-e005-40bc-a9bf-c25107388415\",\"user_id\":\"d253bfba-6368-44dc-85f7-0d6da9e45968\"},{\"name\":\"Gleeful Davinci\",\"description\":\"Create Powerful Connections, Boost Business Value.\",\"data\":{\"nodes\":[],\"edges\":[],\"viewport\":{\"zoom\":1,\"x\":0,\"y\":0}},\"is_component\":false,\"updated_at\":\"2023-12-07T00:37:16.208823\",\"folder\":null,\"id\":\"167cdb24-7e1c-475b-893a-cca2f125426c\",\"user_id\":\"d253bfba-6368-44dc-85f7-0d6da9e45968\"},{\"name\":\"Hilarious Sinoussi\",\"description\":\"Language Chainlink Master.\",\"data\":{\"nodes\":[],\"edges\":[],\"viewport\":{\"zoom\":1,\"x\":0,\"y\":0}},\"is_component\":false,\"updated_at\":\"2023-12-07T00:38:07.215401\",\"folder\":null,\"id\":\"48113cab-2c04-493f-8c2e-c8d067826aa2\",\"user_id\":\"d253bfba-6368-44dc-85f7-0d6da9e45968\"},{\"name\":\"Grave Sagan\",\"description\":\"Connect the Dots, Craft Language.\",\"data\":{\"nodes\":[],\"edges\":[],\"viewport\":{\"zoom\":1,\"x\":0,\"y\":0}},\"is_component\":false,\"updated_at\":\"2023-12-07T00:39:19.479656\",\"folder\":null,\"id\":\"28d292dc-e094-4ffe-a657-178892933267\",\"user_id\":\"d253bfba-6368-44dc-85f7-0d6da9e45968\"},{\"name\":\"Cranky Hoover\",\"description\":\"Crafting Dialogues that Drive Business Success.\",\"data\":{\"nodes\":[],\"edges\":[],\"viewport\":{\"zoom\":1,\"x\":0,\"y\":0}},\"is_component\":false,\"updated_at\":\"2023-12-07T00:40:02.895859\",\"folder\":null,\"id\":\"0c9849b7-b2d6-4d0e-8334-abfb3ae183dd\",\"user_id\":\"d253bfba-6368-44dc-85f7-0d6da9e45968\"},{\"name\":\"Evil Mendeleev\",\"description\":\"Unfolding Linguistic Possibilities.\",\"data\":{\"nodes\":[],\"edges\":[],\"viewport\":{\"zoom\":1,\"x\":0,\"y\":0}},\"is_component\":false,\"updated_at\":\"2023-12-07T00:40:27.867247\",\"folder\":null,\"id\":\"d78c52e9-1941-4555-9bb9-abd01f176705\",\"user_id\":\"d253bfba-6368-44dc-85f7-0d6da9e45968\"},{\"name\":\"Effervescent Dubinsky\",\"description\":\"Where Language Meets Logic.\",\"data\":{\"nodes\":[],\"edges\":[],\"viewport\":{\"zoom\":1,\"x\":0,\"y\":0}},\"is_component\":false,\"updated_at\":\"2023-12-07T00:41:23.177402\",\"folder\":null,\"id\":\"5277a04c-b5da-4597-aaa2-a6b66ea11d02\",\"user_id\":\"d253bfba-6368-44dc-85f7-0d6da9e45968\"},{\"name\":\"Cocky Poitras\",\"description\":\"Where Language Meets Logic.\",\"data\":{\"nodes\":[],\"edges\":[],\"viewport\":{\"zoom\":1,\"x\":0,\"y\":0}},\"is_component\":false,\"updated_at\":\"2023-12-07T00:42:08.731865\",\"folder\":null,\"id\":\"b0d0c8de-4eea-484a-a068-b13e63f7e71c\",\"user_id\":\"d253bfba-6368-44dc-85f7-0d6da9e45968\"},{\"name\":\"Pedantic Ptolemy\",\"description\":\"Crafting Conversations, One Node at a Time.\",\"data\":{\"nodes\":[],\"edges\":[],\"viewport\":{\"zoom\":1,\"x\":0,\"y\":0}},\"is_component\":false,\"updated_at\":\"2023-12-07T00:42:25.658996\",\"folder\":null,\"id\":\"b6f155e2-03eb-4232-9bab-145463382fe9\",\"user_id\":\"d253bfba-6368-44dc-85f7-0d6da9e45968\"},{\"name\":\"Loving Cray\",\"description\":\"Maximize Impact with Intelligent Conversations.\",\"data\":{\"nodes\":[],\"edges\":[],\"viewport\":{\"zoom\":1,\"x\":0,\"y\":0}},\"is_component\":false,\"updated_at\":\"2023-12-07T00:43:57.530112\",\"folder\":null,\"id\":\"b75c10ca-9ecb-432b-88ab-e1847e836e22\",\"user_id\":\"d253bfba-6368-44dc-85f7-0d6da9e45968\"},{\"name\":\"Effervescent Pasteur\",\"description\":\"Language Models, Mapped and Mastered.\",\"data\":{\"nodes\":[],\"edges\":[],\"viewport\":{\"zoom\":1,\"x\":0,\"y\":0}},\"is_component\":false,\"updated_at\":\"2023-12-07T00:44:58.979393\",\"folder\":null,\"id\":\"3710eccb-e7a7-41d5-9339-d9c301515d17\",\"user_id\":\"d253bfba-6368-44dc-85f7-0d6da9e45968\"},{\"name\":\"Pensive Gates\",\"description\":\"The Power of Language at Your Fingertips.\",\"data\":{\"nodes\":[],\"edges\":[],\"viewport\":{\"zoom\":1,\"x\":0,\"y\":0}},\"is_component\":false,\"updated_at\":\"2023-12-07T00:45:42.744174\",\"folder\":null,\"id\":\"fdd2271e-92f6-4349-8c01-2ec0e9e73f13\",\"user_id\":\"d253bfba-6368-44dc-85f7-0d6da9e45968\"},{\"name\":\"Determined Khorana\",\"description\":\"Beyond Text Generation - Unleashing Business Opportunities.\",\"data\":{\"nodes\":[],\"edges\":[],\"viewport\":{\"zoom\":1,\"x\":0,\"y\":0}},\"is_component\":false,\"updated_at\":\"2023-12-07T00:46:10.084684\",\"folder\":null,\"id\":\"88b49a97-0888-4fea-8d9b-6ac2cc6d158e\",\"user_id\":\"d253bfba-6368-44dc-85f7-0d6da9e45968\"},{\"name\":\"Lonely Booth\",\"description\":\"Design Dialogues with Langflow.\",\"data\":{\"nodes\":[],\"edges\":[],\"viewport\":{\"zoom\":1,\"x\":0,\"y\":0}},\"is_component\":false,\"updated_at\":\"2023-12-07T00:46:41.577750\",\"folder\":null,\"id\":\"629afe54-8796-45be-a570-e3ac79c60792\",\"user_id\":\"d253bfba-6368-44dc-85f7-0d6da9e45968\"},{\"name\":\"Jubilant Mendeleev\",\"description\":\"Chain the Words, Master Language!\",\"data\":{\"nodes\":[],\"edges\":[],\"viewport\":{\"zoom\":1,\"x\":0,\"y\":0}},\"is_component\":false,\"updated_at\":\"2023-12-07T00:47:22.631243\",\"folder\":null,\"id\":\"7bf481b0-73fe-4f5b-a3d4-1263d9d8e827\",\"user_id\":\"d253bfba-6368-44dc-85f7-0d6da9e45968\"},{\"name\":\"Clever Varahamihira\",\"description\":\"Building Powerful Solutions with Language Models.\",\"data\":{\"nodes\":[],\"edges\":[],\"viewport\":{\"zoom\":1,\"x\":0,\"y\":0}},\"is_component\":false,\"updated_at\":\"2023-12-07T00:49:51.026960\",\"folder\":null,\"id\":\"df9e86b6-56c9-4848-9010-102615314766\",\"user_id\":\"d253bfba-6368-44dc-85f7-0d6da9e45968\"},{\"name\":\"Sleepy Stallman\",\"description\":\"Empowering Language Engineering.\",\"data\":{\"nodes\":[],\"edges\":[],\"viewport\":{\"zoom\":1,\"x\":0,\"y\":0}},\"is_component\":false,\"updated_at\":\"2023-12-07T00:50:14.932236\",\"folder\":null,\"id\":\"3e66994c-9b7a-4b85-a917-65d1959d7352\",\"user_id\":\"d253bfba-6368-44dc-85f7-0d6da9e45968\"},{\"name\":\"Modest Wozniak\",\"description\":\"Advanced NLP for Groundbreaking Business Solutions.\",\"data\":{\"nodes\":[],\"edges\":[],\"viewport\":{\"zoom\":1,\"x\":0,\"y\":0}},\"is_component\":false,\"updated_at\":\"2023-12-07T00:51:13.811894\",\"folder\":null,\"id\":\"d10f924a-5780-4255-9f41-3e102ae03e84\",\"user_id\":\"d253bfba-6368-44dc-85f7-0d6da9e45968\"},{\"name\":\"Hopeful Mirzakhani\",\"description\":\"Graph Your Way to Great Conversations.\",\"data\":{\"nodes\":[],\"edges\":[],\"viewport\":{\"zoom\":1,\"x\":0,\"y\":0}},\"is_component\":false,\"updated_at\":\"2023-12-07T00:52:23.906908\",\"folder\":null,\"id\":\"f3378fa8-ccaf-4a3b-90d6-b8ab0c4e481f\",\"user_id\":\"d253bfba-6368-44dc-85f7-0d6da9e45968\"},{\"name\":\"Awesome Joule\",\"description\":\"Design, Develop, Dialogize.\",\"data\":{\"nodes\":[],\"edges\":[],\"viewport\":{\"zoom\":1,\"x\":0,\"y\":0}},\"is_component\":false,\"updated_at\":\"2023-12-07T00:52:43.863440\",\"folder\":null,\"id\":\"deaa50e7-a8b1-46b1-856c-334ee781e1c2\",\"user_id\":\"d253bfba-6368-44dc-85f7-0d6da9e45968\"},{\"name\":\"Peppy Shockley\",\"description\":\"Generate, Innovate, Communicate.\",\"data\":{\"nodes\":[],\"edges\":[],\"viewport\":{\"zoom\":1,\"x\":0,\"y\":0}},\"is_component\":false,\"updated_at\":\"2023-12-07T00:53:43.299699\",\"folder\":null,\"id\":\"c72eac2c-d924-40c6-a102-da524216d090\",\"user_id\":\"d253bfba-6368-44dc-85f7-0d6da9e45968\"},{\"name\":\"Zany Dewey\",\"description\":\"Flow into the Future of Language.\",\"data\":{\"nodes\":[],\"edges\":[],\"viewport\":{\"zoom\":1,\"x\":0,\"y\":0}},\"is_component\":false,\"updated_at\":\"2023-12-07T00:54:18.848827\",\"folder\":null,\"id\":\"d9425324-bb60-462e-b431-90a536f2bc76\",\"user_id\":\"d253bfba-6368-44dc-85f7-0d6da9e45968\"},{\"name\":\"Gloomy Joliot\",\"description\":\"Language Engineering Excellence.\",\"data\":{\"nodes\":[],\"edges\":[],\"viewport\":{\"zoom\":1,\"x\":0,\"y\":0}},\"is_component\":false,\"updated_at\":\"2023-12-07T00:58:12.348608\",\"folder\":null,\"id\":\"621ba134-3fac-487c-98cd-96941439f1be\",\"user_id\":\"d253bfba-6368-44dc-85f7-0d6da9e45968\"},{\"name\":\"Backstabbing Franklin\",\"description\":\"Craft Language Connections Here.\",\"data\":{\"nodes\":[],\"edges\":[],\"viewport\":{\"zoom\":1,\"x\":0,\"y\":0}},\"is_component\":false,\"updated_at\":\"2023-12-07T00:58:13.491824\",\"folder\":null,\"id\":\"86ca9773-c7b7-4a1a-859a-6cbe0ddff206\",\"user_id\":\"d253bfba-6368-44dc-85f7-0d6da9e45968\"},{\"name\":\"Sharp Swartz\",\"description\":\"Beyond Text Generation - Unleashing Business Opportunities.\",\"data\":{\"nodes\":[],\"edges\":[],\"viewport\":{\"zoom\":1,\"x\":0,\"y\":0}},\"is_component\":false,\"updated_at\":\"2023-12-07T00:58:13.524414\",\"folder\":null,\"id\":\"da1c02b7-d608-4498-9946-7d02f55fa103\",\"user_id\":\"d253bfba-6368-44dc-85f7-0d6da9e45968\"},{\"name\":\"Serene Volta\",\"description\":\"Connect the Dots, Craft Language.\",\"data\":{\"nodes\":[],\"edges\":[],\"viewport\":{\"zoom\":1,\"x\":0,\"y\":0}},\"is_component\":false,\"updated_at\":\"2023-12-07T00:58:13.641432\",\"folder\":null,\"id\":\"8d5dd998-6b51-4f65-8331-086a7f3b11d7\",\"user_id\":\"d253bfba-6368-44dc-85f7-0d6da9e45968\"},{\"name\":\"Focused Lichterman\",\"description\":\"Crafting Dialogues that Drive Business Success.\",\"data\":{\"nodes\":[],\"edges\":[],\"viewport\":{\"zoom\":1,\"x\":0,\"y\":0}},\"is_component\":false,\"updated_at\":\"2023-12-07T00:58:13.746120\",\"folder\":null,\"id\":\"942027d3-e2ea-48c6-8279-0a41b54e8862\",\"user_id\":\"d253bfba-6368-44dc-85f7-0d6da9e45968\"},{\"name\":\"Lively Einstein\",\"description\":\"Unleashing Linguistic Creativity.\",\"data\":{\"nodes\":[],\"edges\":[],\"viewport\":{\"zoom\":1,\"x\":0,\"y\":0}},\"is_component\":false,\"updated_at\":\"2023-12-07T00:58:13.746904\",\"folder\":null,\"id\":\"9e9b6298-1073-4297-8ecc-3c620b432e70\",\"user_id\":\"d253bfba-6368-44dc-85f7-0d6da9e45968\"},{\"name\":\"Cocky Planck\",\"description\":\"Empowering Language Engineering.\",\"data\":{\"nodes\":[],\"edges\":[],\"viewport\":{\"zoom\":1,\"x\":0,\"y\":0}},\"is_component\":false,\"updated_at\":\"2023-12-07T00:58:13.747420\",\"folder\":null,\"id\":\"7cd60c83-b797-4e60-af6d-cbc540657943\",\"user_id\":\"d253bfba-6368-44dc-85f7-0d6da9e45968\"},{\"name\":\"Suspicious Zobell\",\"description\":\"Innovation in Interaction, Revolution in Revenue.\",\"data\":{\"nodes\":[],\"edges\":[],\"viewport\":{\"zoom\":1,\"x\":0,\"y\":0}},\"is_component\":false,\"updated_at\":\"2023-12-07T00:58:13.749951\",\"folder\":null,\"id\":\"dab08306-9521-4e15-aa11-e6a6a4e210f8\",\"user_id\":\"d253bfba-6368-44dc-85f7-0d6da9e45968\"},{\"name\":\"Small Knuth\",\"description\":\"Nurture NLP Nodes Here.\",\"data\":{\"nodes\":[],\"edges\":[],\"viewport\":{\"zoom\":1,\"x\":0,\"y\":0}},\"is_component\":false,\"updated_at\":\"2023-12-07T00:59:16.772119\",\"folder\":null,\"id\":\"c9149590-636a-44f5-aaae-45a4e78fe4df\",\"user_id\":\"d253bfba-6368-44dc-85f7-0d6da9e45968\"},{\"name\":\"Evil Wright\",\"description\":\"Unfolding Linguistic Possibilities.\",\"data\":{\"nodes\":[],\"edges\":[],\"viewport\":{\"zoom\":1,\"x\":0,\"y\":0}},\"is_component\":false,\"updated_at\":\"2023-12-07T00:59:52.954568\",\"folder\":null,\"id\":\"6b23b2ad-c07c-46f6-b9ad-268783d1712e\",\"user_id\":\"d253bfba-6368-44dc-85f7-0d6da9e45968\"},{\"name\":\"Vibrant Lalande\",\"description\":\"Language Models, Mapped and Mastered.\",\"data\":{\"nodes\":[],\"edges\":[],\"viewport\":{\"zoom\":1,\"x\":0,\"y\":0}},\"is_component\":false,\"updated_at\":\"2023-12-07T00:59:53.656156\",\"folder\":null,\"id\":\"ece3bcf6-a147-4559-862e-cacff9db5f48\",\"user_id\":\"d253bfba-6368-44dc-85f7-0d6da9e45968\"},{\"name\":\"Happy Gauss\",\"description\":\"The Pinnacle of Prompt Generation.\",\"data\":{\"nodes\":[],\"edges\":[],\"viewport\":{\"zoom\":1,\"x\":0,\"y\":0}},\"is_component\":false,\"updated_at\":\"2023-12-07T00:59:53.717991\",\"folder\":null,\"id\":\"252b6021-ecad-4eaf-9e2f-106c4c89c496\",\"user_id\":\"d253bfba-6368-44dc-85f7-0d6da9e45968\"},{\"name\":\"Gigantic Rosalind\",\"description\":\"Building Powerful Solutions with Language Models.\",\"data\":{\"nodes\":[],\"edges\":[],\"viewport\":{\"zoom\":1,\"x\":0,\"y\":0}},\"is_component\":false,\"updated_at\":\"2023-12-07T00:59:53.736261\",\"folder\":null,\"id\":\"b8cb6d8d-c0fb-4e8d-a46e-2c608dc8a714\",\"user_id\":\"d253bfba-6368-44dc-85f7-0d6da9e45968\"},{\"name\":\"Adoring Hubble\",\"description\":\"Powerful Prompts, Perfectly Positioned.\",\"data\":{\"nodes\":[],\"edges\":[],\"viewport\":{\"zoom\":1,\"x\":0,\"y\":0}},\"is_component\":false,\"updated_at\":\"2023-12-07T00:59:53.769546\",\"folder\":null,\"id\":\"553a67db-7225-474c-978e-8a40cde2bfb2\",\"user_id\":\"d253bfba-6368-44dc-85f7-0d6da9e45968\"},{\"name\":\"Pensive Mclean\",\"description\":\"Unlock the Power of AI in Your Business Conversations.\",\"data\":{\"nodes\":[],\"edges\":[],\"viewport\":{\"zoom\":1,\"x\":0,\"y\":0}},\"is_component\":false,\"updated_at\":\"2023-12-07T00:59:53.981063\",\"folder\":null,\"id\":\"e0865007-4d80-4edf-87ab-9e8d2892d719\",\"user_id\":\"d253bfba-6368-44dc-85f7-0d6da9e45968\"},{\"name\":\"Trusting Murdock\",\"description\":\"Uncover Business Opportunities with NLP.\",\"data\":{\"nodes\":[],\"edges\":[],\"viewport\":{\"zoom\":1,\"x\":0,\"y\":0}},\"is_component\":false,\"updated_at\":\"2023-12-07T00:59:53.982286\",\"folder\":null,\"id\":\"1021cd20-66e0-4b81-9c79-bfe729774d20\",\"user_id\":\"d253bfba-6368-44dc-85f7-0d6da9e45968\"},{\"name\":\"Perky Riemann\",\"description\":\"Powerful Prompts, Perfectly Positioned.\",\"data\":{\"nodes\":[],\"edges\":[],\"viewport\":{\"zoom\":1,\"x\":0,\"y\":0}},\"is_component\":false,\"updated_at\":\"2023-12-07T00:59:53.983216\",\"folder\":null,\"id\":\"089074d3-8a1e-4d85-a59d-b4717090e4d3\",\"user_id\":\"d253bfba-6368-44dc-85f7-0d6da9e45968\"},{\"name\":\"Small Tesla\",\"description\":\"Language Models, Unleashed.\",\"data\":{\"nodes\":[],\"edges\":[],\"viewport\":{\"zoom\":1,\"x\":0,\"y\":0}},\"is_component\":false,\"updated_at\":\"2023-12-07T01:00:35.704142\",\"folder\":null,\"id\":\"beb49d88-255e-4db4-931b-4ab4358f1097\",\"user_id\":\"d253bfba-6368-44dc-85f7-0d6da9e45968\"},{\"name\":\"Effervescent Boyd\",\"description\":\"Smart Chains, Smarter Conversations.\",\"data\":{\"nodes\":[],\"edges\":[],\"viewport\":{\"zoom\":1,\"x\":0,\"y\":0}},\"is_component\":false,\"updated_at\":\"2023-12-07T01:01:13.569507\",\"folder\":null,\"id\":\"75b5ab8d-e0c0-43cf-912b-8578550e198a\",\"user_id\":\"d253bfba-6368-44dc-85f7-0d6da9e45968\"},{\"name\":\"Small Babbage\",\"description\":\"Interactive Language Weaving.\",\"data\":{\"nodes\":[],\"edges\":[],\"viewport\":{\"zoom\":1,\"x\":0,\"y\":0}},\"is_component\":false,\"updated_at\":\"2023-12-07T01:01:27.944868\",\"folder\":null,\"id\":\"503edd55-8f70-43e5-87fb-2324eaf62336\",\"user_id\":\"d253bfba-6368-44dc-85f7-0d6da9e45968\"},{\"name\":\"Lonely Bose\",\"description\":\"Crafting Dialogues that Drive Business Success.\",\"data\":{\"nodes\":[],\"edges\":[],\"viewport\":{\"zoom\":1,\"x\":0,\"y\":0}},\"is_component\":false,\"updated_at\":\"2023-12-07T01:02:40.122079\",\"folder\":null,\"id\":\"ae4f2992-1a23-4a43-bec6-68b823935762\",\"user_id\":\"d253bfba-6368-44dc-85f7-0d6da9e45968\"},{\"name\":\"Mirthful Coulomb\",\"description\":\"Craft Meaningful Interactions, Generate Value.\",\"data\":{\"nodes\":[],\"edges\":[],\"viewport\":{\"zoom\":1,\"x\":0,\"y\":0}},\"is_component\":false,\"updated_at\":\"2023-12-07T01:03:15.263237\",\"folder\":null,\"id\":\"a2a464db-b02a-4440-ad9e-7b552ee6c027\",\"user_id\":\"d253bfba-6368-44dc-85f7-0d6da9e45968\"},{\"name\":\"Drunk Newton\",\"description\":\"Craft Meaningful Interactions, Generate Value.\",\"data\":{\"nodes\":[],\"edges\":[],\"viewport\":{\"zoom\":1,\"x\":0,\"y\":0}},\"is_component\":false,\"updated_at\":\"2023-12-07T01:03:15.883766\",\"folder\":null,\"id\":\"1a5d9af7-5a96-4035-a09c-e15741785828\",\"user_id\":\"d253bfba-6368-44dc-85f7-0d6da9e45968\"},{\"name\":\"Jovial Pasteur\",\"description\":\"Your Hub for Text Generation.\",\"data\":{\"nodes\":[],\"edges\":[],\"viewport\":{\"zoom\":1,\"x\":0,\"y\":0}},\"is_component\":false,\"updated_at\":\"2023-12-07T01:03:15.933083\",\"folder\":null,\"id\":\"04b94873-0828-41dc-a850-fd4132c9b9f1\",\"user_id\":\"d253bfba-6368-44dc-85f7-0d6da9e45968\"},{\"name\":\"Playful Spence\",\"description\":\"Connect the Dots, Craft Language.\",\"data\":{\"nodes\":[],\"edges\":[],\"viewport\":{\"zoom\":1,\"x\":0,\"y\":0}},\"is_component\":false,\"updated_at\":\"2023-12-07T01:03:15.967685\",\"folder\":null,\"id\":\"47003dc2-7884-48a3-aa66-e4185079f4d9\",\"user_id\":\"d253bfba-6368-44dc-85f7-0d6da9e45968\"},{\"name\":\"Cheerful Noyce\",\"description\":\"Your Passport to Linguistic Landscapes.\",\"data\":{\"nodes\":[],\"edges\":[],\"viewport\":{\"zoom\":1,\"x\":0,\"y\":0}},\"is_component\":false,\"updated_at\":\"2023-12-07T01:03:15.983198\",\"folder\":null,\"id\":\"13769cb4-2e15-4d54-a28a-c97dc15db58c\",\"user_id\":\"d253bfba-6368-44dc-85f7-0d6da9e45968\"},{\"name\":\"Awesome Edison\",\"description\":\"Unfolding Linguistic Possibilities.\",\"data\":{\"nodes\":[],\"edges\":[],\"viewport\":{\"zoom\":1,\"x\":0,\"y\":0}},\"is_component\":false,\"updated_at\":\"2023-12-07T01:03:16.018879\",\"folder\":null,\"id\":\"453dacde-6b10-406b-a5b3-f90f44be6899\",\"user_id\":\"d253bfba-6368-44dc-85f7-0d6da9e45968\"},{\"name\":\"Upbeat Snyder\",\"description\":\"Powerful Prompts, Perfectly Positioned.\",\"data\":{\"nodes\":[],\"edges\":[],\"viewport\":{\"zoom\":1,\"x\":0,\"y\":0}},\"is_component\":false,\"updated_at\":\"2023-12-07T01:03:16.205689\",\"folder\":null,\"id\":\"9544fac9-3002-47aa-86b9-102844fe9649\",\"user_id\":\"d253bfba-6368-44dc-85f7-0d6da9e45968\"},{\"name\":\"Tender Khorana\",\"description\":\"Chain the Words, Master Language!\",\"data\":{\"nodes\":[],\"edges\":[],\"viewport\":{\"zoom\":1,\"x\":0,\"y\":0}},\"is_component\":false,\"updated_at\":\"2023-12-07T01:03:16.243434\",\"folder\":null,\"id\":\"90498ef6-34f9-45c8-8cd0-fe6a36a26f41\",\"user_id\":\"d253bfba-6368-44dc-85f7-0d6da9e45968\"},{\"name\":\"Elated Albattani\",\"description\":\"Interactive Language Weaving.\",\"data\":{\"nodes\":[],\"edges\":[],\"viewport\":{\"zoom\":1,\"x\":0,\"y\":0}},\"is_component\":false,\"updated_at\":\"2023-12-07T01:05:07.775497\",\"folder\":null,\"id\":\"9577c416-8ce8-48f6-ad6d-ab2e003bb415\",\"user_id\":\"d253bfba-6368-44dc-85f7-0d6da9e45968\"},{\"name\":\"Charming Goodall\",\"description\":\"Maximize Impact with Intelligent Conversations.\",\"data\":{\"nodes\":[],\"edges\":[],\"viewport\":{\"zoom\":1,\"x\":0,\"y\":0}},\"is_component\":false,\"updated_at\":\"2023-12-07T01:07:52.139318\",\"folder\":null,\"id\":\"f10dc08e-b9c7-44b3-8837-b95aee2f6dbb\",\"user_id\":\"d253bfba-6368-44dc-85f7-0d6da9e45968\"},{\"name\":\"Hilarious Ramanujan\",\"description\":\"Harness the Power of Conversational AI.\",\"data\":{\"nodes\":[],\"edges\":[],\"viewport\":{\"zoom\":1,\"x\":0,\"y\":0}},\"is_component\":false,\"updated_at\":\"2023-12-07T01:08:22.448480\",\"folder\":null,\"id\":\"c864bd8c-67cd-465f-bf7d-7a35c7df37f3\",\"user_id\":\"d253bfba-6368-44dc-85f7-0d6da9e45968\"},{\"name\":\"Tender Mclean\",\"description\":\"Unleashing Linguistic Creativity.\",\"data\":{\"nodes\":[],\"edges\":[],\"viewport\":{\"zoom\":1,\"x\":0,\"y\":0}},\"is_component\":false,\"updated_at\":\"2023-12-07T01:09:56.507826\",\"folder\":null,\"id\":\"f0c13b19-ae23-40e6-88d6-d135897ee100\",\"user_id\":\"d253bfba-6368-44dc-85f7-0d6da9e45968\"},{\"name\":\"Grave Hawking\",\"description\":\"Building Intelligent Interactions.\",\"data\":{\"nodes\":[],\"edges\":[],\"viewport\":{\"zoom\":1,\"x\":0,\"y\":0}},\"is_component\":false,\"updated_at\":\"2023-12-07T01:10:27.169757\",\"folder\":null,\"id\":\"0afb91b4-8f41-4270-900a-f5de647d45ad\",\"user_id\":\"d253bfba-6368-44dc-85f7-0d6da9e45968\"},{\"name\":\"Gloomy Lovelace\",\"description\":\"Your Passport to Linguistic Landscapes.\",\"data\":{\"nodes\":[],\"edges\":[],\"viewport\":{\"zoom\":1,\"x\":0,\"y\":0}},\"is_component\":false,\"updated_at\":\"2023-12-07T01:11:02.292233\",\"folder\":null,\"id\":\"0f1e5dcf-8769-4157-b495-5f215b490107\",\"user_id\":\"d253bfba-6368-44dc-85f7-0d6da9e45968\"},{\"name\":\"Fervent Kilby\",\"description\":\"Empowering Enterprises with Intelligent Interactions.\",\"data\":{\"nodes\":[],\"edges\":[],\"viewport\":{\"zoom\":1,\"x\":0,\"y\":0}},\"is_component\":false,\"updated_at\":\"2023-12-07T01:11:46.960966\",\"folder\":null,\"id\":\"310d03d9-dd50-4946-9a27-38ee06906212\",\"user_id\":\"d253bfba-6368-44dc-85f7-0d6da9e45968\"},{\"name\":\"Admiring Almeida\",\"description\":\"Language Models, Mapped and Mastered.\",\"data\":{\"nodes\":[],\"edges\":[],\"viewport\":{\"zoom\":1,\"x\":0,\"y\":0}},\"is_component\":false,\"updated_at\":\"2023-12-07T01:12:24.475101\",\"folder\":null,\"id\":\"3cbc8fc2-a86f-4177-9a1c-a833b2a24283\",\"user_id\":\"d253bfba-6368-44dc-85f7-0d6da9e45968\"},{\"name\":\"Elated Roentgen\",\"description\":\"Empowering Enterprises with Intelligent Interactions.\",\"data\":{\"nodes\":[],\"edges\":[],\"viewport\":{\"zoom\":1,\"x\":0,\"y\":0}},\"is_component\":false,\"updated_at\":\"2023-12-07T01:13:06.753571\",\"folder\":null,\"id\":\"c508e922-29e9-4234-84ae-505c5bdf41c1\",\"user_id\":\"d253bfba-6368-44dc-85f7-0d6da9e45968\"},{\"name\":\"Perky Poitras\",\"description\":\"Chain the Words, Master Language!\",\"data\":{\"nodes\":[],\"edges\":[],\"viewport\":{\"zoom\":1,\"x\":0,\"y\":0}},\"is_component\":false,\"updated_at\":\"2023-12-07T01:13:07.754605\",\"folder\":null,\"id\":\"1431df05-1b6f-41af-a063-a18d26a946ef\",\"user_id\":\"d253bfba-6368-44dc-85f7-0d6da9e45968\"},{\"name\":\"Tender Khayyam\",\"description\":\"Navigate the Linguistic Landscape, Discover Opportunities.\",\"data\":{\"nodes\":[],\"edges\":[],\"viewport\":{\"zoom\":1,\"x\":0,\"y\":0}},\"is_component\":false,\"updated_at\":\"2023-12-07T01:13:07.791627\",\"folder\":null,\"id\":\"344e03fb-fd49-4e87-be67-7dce04ba655b\",\"user_id\":\"d253bfba-6368-44dc-85f7-0d6da9e45968\"},{\"name\":\"Zealous Mayer\",\"description\":\"Navigate the Linguistic Landscape, Discover Opportunities.\",\"data\":{\"nodes\":[],\"edges\":[],\"viewport\":{\"zoom\":1,\"x\":0,\"y\":0}},\"is_component\":false,\"updated_at\":\"2023-12-07T01:13:07.803889\",\"folder\":null,\"id\":\"8b3ff1cb-3a6c-46ee-b09a-0e9f9f13a8b9\",\"user_id\":\"d253bfba-6368-44dc-85f7-0d6da9e45968\"},{\"name\":\"Tiny Ramanujan\",\"description\":\"Empowering Communication, Enabling Opportunities.\",\"data\":{\"nodes\":[],\"edges\":[],\"viewport\":{\"zoom\":1,\"x\":0,\"y\":0}},\"is_component\":false,\"updated_at\":\"2023-12-07T01:13:07.822583\",\"folder\":null,\"id\":\"18961e76-f4b1-4968-926a-fed22cb04f69\",\"user_id\":\"d253bfba-6368-44dc-85f7-0d6da9e45968\"},{\"name\":\"Cheerful Franklin\",\"description\":\"Building Intelligent Interactions.\",\"data\":{\"nodes\":[],\"edges\":[],\"viewport\":{\"zoom\":1,\"x\":0,\"y\":0}},\"is_component\":false,\"updated_at\":\"2023-12-07T01:13:07.854440\",\"folder\":null,\"id\":\"0e0ee854-ab46-4333-a848-2e1239a24334\",\"user_id\":\"d253bfba-6368-44dc-85f7-0d6da9e45968\"},{\"name\":\"Serene Swirles\",\"description\":\"Maximize Impact with Intelligent Conversations.\",\"data\":{\"nodes\":[],\"edges\":[],\"viewport\":{\"zoom\":1,\"x\":0,\"y\":0}},\"is_component\":false,\"updated_at\":\"2023-12-07T01:13:07.988932\",\"folder\":null,\"id\":\"cc7b8238-3d15-4f78-bd0c-8311691c9ff8\",\"user_id\":\"d253bfba-6368-44dc-85f7-0d6da9e45968\"},{\"name\":\"Sleepy Swartz\",\"description\":\"Uncover Business Opportunities with NLP.\",\"data\":{\"nodes\":[],\"edges\":[],\"viewport\":{\"zoom\":1,\"x\":0,\"y\":0}},\"is_component\":false,\"updated_at\":\"2023-12-07T01:13:08.028688\",\"folder\":null,\"id\":\"123369f9-c83c-4ed3-93b6-78ca29c271cf\",\"user_id\":\"d253bfba-6368-44dc-85f7-0d6da9e45968\"},{\"name\":\"Cranky Kowalevski\",\"description\":\"Unleashing Linguistic Creativity.\",\"data\":{\"nodes\":[],\"edges\":[],\"viewport\":{\"zoom\":1,\"x\":0,\"y\":0}},\"is_component\":false,\"updated_at\":\"2023-12-07T01:13:59.097607\",\"folder\":null,\"id\":\"ed4b1490-e9e5-46bf-b337-166b48eaadd6\",\"user_id\":\"d253bfba-6368-44dc-85f7-0d6da9e45968\"},{\"name\":\"Sprightly Golick\",\"description\":\"Building Powerful Solutions with Language Models.\",\"data\":{\"nodes\":[],\"edges\":[],\"viewport\":{\"zoom\":1,\"x\":0,\"y\":0}},\"is_component\":false,\"updated_at\":\"2023-12-07T01:13:59.617772\",\"folder\":null,\"id\":\"9d1be311-c618-4e3e-aeb1-4161ab37850e\",\"user_id\":\"d253bfba-6368-44dc-85f7-0d6da9e45968\"},{\"name\":\"Boring Newton\",\"description\":\"Generate, Innovate, Communicate.\",\"data\":{\"nodes\":[],\"edges\":[],\"viewport\":{\"zoom\":1,\"x\":0,\"y\":0}},\"is_component\":false,\"updated_at\":\"2023-12-07T01:13:59.646124\",\"folder\":null,\"id\":\"63a75f99-1745-40d3-9e27-3d19a143be45\",\"user_id\":\"d253bfba-6368-44dc-85f7-0d6da9e45968\"},{\"name\":\"Sprightly Noyce\",\"description\":\"Beyond Text Generation - Unleashing Business Opportunities.\",\"data\":{\"nodes\":[],\"edges\":[],\"viewport\":{\"zoom\":1,\"x\":0,\"y\":0}},\"is_component\":false,\"updated_at\":\"2023-12-07T01:13:59.685781\",\"folder\":null,\"id\":\"b418ca87-eb17-42e8-b789-3fcb0cab3ddb\",\"user_id\":\"d253bfba-6368-44dc-85f7-0d6da9e45968\"},{\"name\":\"Fluffy Fermat\",\"description\":\"Text Generation Meets Business Transformation.\",\"data\":{\"nodes\":[],\"edges\":[],\"viewport\":{\"zoom\":1,\"x\":0,\"y\":0}},\"is_component\":false,\"updated_at\":\"2023-12-07T01:13:59.705984\",\"folder\":null,\"id\":\"93802b07-eee9-4a2b-8691-7d9a231bd67e\",\"user_id\":\"d253bfba-6368-44dc-85f7-0d6da9e45968\"},{\"name\":\"Stoic Payne\",\"description\":\"Beyond Text Generation - Unleashing Business Opportunities.\",\"data\":{\"nodes\":[],\"edges\":[],\"viewport\":{\"zoom\":1,\"x\":0,\"y\":0}},\"is_component\":false,\"updated_at\":\"2023-12-07T01:13:59.723990\",\"folder\":null,\"id\":\"d62df661-0ae5-4b41-a9fb-71cb2e46ad52\",\"user_id\":\"d253bfba-6368-44dc-85f7-0d6da9e45968\"},{\"name\":\"Effervescent Darwin\",\"description\":\"Unleashing Linguistic Creativity.\",\"data\":{\"nodes\":[],\"edges\":[],\"viewport\":{\"zoom\":1,\"x\":0,\"y\":0}},\"is_component\":false,\"updated_at\":\"2023-12-07T01:13:59.818343\",\"folder\":null,\"id\":\"d1f62248-415c-474a-bfa6-3509a528a33b\",\"user_id\":\"d253bfba-6368-44dc-85f7-0d6da9e45968\"},{\"name\":\"Focused Thompson\",\"description\":\"Transform Your Business with Smart Dialogues.\",\"data\":{\"nodes\":[],\"edges\":[],\"viewport\":{\"zoom\":1,\"x\":0,\"y\":0}},\"is_component\":false,\"updated_at\":\"2023-12-07T01:13:59.925999\",\"folder\":null,\"id\":\"d2267176-f020-4c52-90a4-7f944d7c1749\",\"user_id\":\"d253bfba-6368-44dc-85f7-0d6da9e45968\"},{\"name\":\"Admiring Dewey\",\"description\":\"Navigate the Networks of Conversation.\",\"data\":{\"nodes\":[],\"edges\":[],\"viewport\":{\"zoom\":1,\"x\":0,\"y\":0}},\"is_component\":false,\"updated_at\":\"2023-12-07T01:15:07.400402\",\"folder\":null,\"id\":\"8cf1ac8d-d34d-4e8a-a9da-be44672e1dfb\",\"user_id\":\"d253bfba-6368-44dc-85f7-0d6da9e45968\"},{\"name\":\"Prickly Zuse\",\"description\":\"Where Language Meets Logic.\",\"data\":{\"nodes\":[],\"edges\":[],\"viewport\":{\"zoom\":1,\"x\":0,\"y\":0}},\"is_component\":false,\"updated_at\":\"2023-12-07T01:15:08.384611\",\"folder\":null,\"id\":\"bae3cb5b-0f1b-4e95-bf58-7eab38da3d73\",\"user_id\":\"d253bfba-6368-44dc-85f7-0d6da9e45968\"},{\"name\":\"Hungry Zuse\",\"description\":\"The Pinnacle of Prompt Generation.\",\"data\":{\"nodes\":[],\"edges\":[],\"viewport\":{\"zoom\":1,\"x\":0,\"y\":0}},\"is_component\":false,\"updated_at\":\"2023-12-07T01:15:08.436591\",\"folder\":null,\"id\":\"4dfafe3e-e9ef-405d-be72-550084411d69\",\"user_id\":\"d253bfba-6368-44dc-85f7-0d6da9e45968\"},{\"name\":\"Lonely Khayyam\",\"description\":\"Design Dialogues with Langflow.\",\"data\":{\"nodes\":[],\"edges\":[],\"viewport\":{\"zoom\":1,\"x\":0,\"y\":0}},\"is_component\":false,\"updated_at\":\"2023-12-07T01:15:08.435958\",\"folder\":null,\"id\":\"e0f81215-dc55-4b5a-b8cf-6e2fcbf297a7\",\"user_id\":\"d253bfba-6368-44dc-85f7-0d6da9e45968\"},{\"name\":\"Big Mendel\",\"description\":\"Innovation in Interaction with Langflow.\",\"data\":{\"nodes\":[],\"edges\":[],\"viewport\":{\"zoom\":1,\"x\":0,\"y\":0}},\"is_component\":false,\"updated_at\":\"2023-12-07T01:15:08.470080\",\"folder\":null,\"id\":\"5022a71c-da47-4975-a4d0-6d2d9e760d3d\",\"user_id\":\"d253bfba-6368-44dc-85f7-0d6da9e45968\"},{\"name\":\"Inquisitive Poitras\",\"description\":\"Navigate the Networks of Conversation.\",\"data\":{\"nodes\":[],\"edges\":[],\"viewport\":{\"zoom\":1,\"x\":0,\"y\":0}},\"is_component\":false,\"updated_at\":\"2023-12-07T01:15:08.484430\",\"folder\":null,\"id\":\"4f1ff9e3-3500-404c-80af-2010bc46cdcb\",\"user_id\":\"d253bfba-6368-44dc-85f7-0d6da9e45968\"},{\"name\":\"Joyous Jones\",\"description\":\"The Power of Language at Your Fingertips.\",\"data\":{\"nodes\":[],\"edges\":[],\"viewport\":{\"zoom\":1,\"x\":0,\"y\":0}},\"is_component\":false,\"updated_at\":\"2023-12-07T01:15:08.661306\",\"folder\":null,\"id\":\"77af3e47-c2cc-42f6-99e1-78589439a447\",\"user_id\":\"d253bfba-6368-44dc-85f7-0d6da9e45968\"},{\"name\":\"Exuberant Khayyam\",\"description\":\"Empowering Communication, Enabling Opportunities.\",\"data\":{\"nodes\":[],\"edges\":[],\"viewport\":{\"zoom\":1,\"x\":0,\"y\":0}},\"is_component\":false,\"updated_at\":\"2023-12-07T01:15:08.662877\",\"folder\":null,\"id\":\"6f3e2e56-b329-47e3-86cc-024c29203016\",\"user_id\":\"d253bfba-6368-44dc-85f7-0d6da9e45968\"},{\"name\":\"Dazzling Visvesvaraya\",\"description\":\"Maximize Impact with Intelligent Conversations.\",\"data\":{\"nodes\":[],\"edges\":[],\"viewport\":{\"zoom\":1,\"x\":0,\"y\":0}},\"is_component\":false,\"updated_at\":\"2023-12-07T01:16:10.092917\",\"folder\":null,\"id\":\"449ac0ee-ee29-4a9f-9aff-fd6a86624457\",\"user_id\":\"d253bfba-6368-44dc-85f7-0d6da9e45968\"},{\"name\":\"Nostalgic Tesla\",\"description\":\"Nurture NLP Nodes Here.\",\"data\":{\"nodes\":[],\"edges\":[],\"viewport\":{\"zoom\":1,\"x\":0,\"y\":0}},\"is_component\":false,\"updated_at\":\"2023-12-07T01:16:10.630382\",\"folder\":null,\"id\":\"a2136ed3-dc75-4a8f-ab34-6887ff955b23\",\"user_id\":\"d253bfba-6368-44dc-85f7-0d6da9e45968\"},{\"name\":\"Goofy Noether\",\"description\":\"Language Models, Unleashed.\",\"data\":{\"nodes\":[],\"edges\":[],\"viewport\":{\"zoom\":1,\"x\":0,\"y\":0}},\"is_component\":false,\"updated_at\":\"2023-12-07T01:16:10.652058\",\"folder\":null,\"id\":\"fd1080f8-db07-481a-b2ba-60f67fcb20a6\",\"user_id\":\"d253bfba-6368-44dc-85f7-0d6da9e45968\"},{\"name\":\"Dazzling Pasteur\",\"description\":\"Language Models, Unleashed.\",\"data\":{\"nodes\":[],\"edges\":[],\"viewport\":{\"zoom\":1,\"x\":0,\"y\":0}},\"is_component\":false,\"updated_at\":\"2023-12-07T01:16:10.688661\",\"folder\":null,\"id\":\"d534d5e1-92aa-4fb2-a795-7071c4feba47\",\"user_id\":\"d253bfba-6368-44dc-85f7-0d6da9e45968\"},{\"name\":\"Comical Sinoussi\",\"description\":\"Bridging Prompts for Brilliance.\",\"data\":{\"nodes\":[],\"edges\":[],\"viewport\":{\"zoom\":1,\"x\":0,\"y\":0}},\"is_component\":false,\"updated_at\":\"2023-12-07T01:16:10.741385\",\"folder\":null,\"id\":\"85323170-c066-4d8f-acb0-1b142241389e\",\"user_id\":\"d253bfba-6368-44dc-85f7-0d6da9e45968\"},{\"name\":\"Small Ramanujan\",\"description\":\"Uncover Business Opportunities with NLP.\",\"data\":{\"nodes\":[],\"edges\":[],\"viewport\":{\"zoom\":1,\"x\":0,\"y\":0}},\"is_component\":false,\"updated_at\":\"2023-12-07T01:16:10.790086\",\"folder\":null,\"id\":\"b0d18432-21ab-404b-acb6-57ef97353fad\",\"user_id\":\"d253bfba-6368-44dc-85f7-0d6da9e45968\"},{\"name\":\"Sick Joliot\",\"description\":\"Text Generation Meets Business Transformation.\",\"data\":{\"nodes\":[{\"width\":384,\"height\":442,\"id\":\"OpenAIEmbeddings-rVj1B\",\"type\":\"genericNode\",\"position\":{\"x\":-100.23754663035719,\"y\":-718.7575880388187},\"data\":{\"type\":\"OpenAIEmbeddings\",\"node\":{\"template\":{\"allowed_special\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"value\":[],\"password\":false,\"name\":\"allowed_special\",\"advanced\":true,\"dynamic\":false,\"info\":\"\",\"type\":\"str\",\"list\":true},\"async_client\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"password\":false,\"name\":\"async_client\",\"advanced\":true,\"dynamic\":false,\"info\":\"\",\"type\":\"Any\",\"list\":false},\"chunk_size\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"value\":1000,\"password\":false,\"name\":\"chunk_size\",\"advanced\":true,\"dynamic\":false,\"info\":\"\",\"type\":\"int\",\"list\":false},\"client\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"password\":false,\"name\":\"client\",\"advanced\":true,\"dynamic\":false,\"info\":\"\",\"type\":\"Any\",\"list\":false},\"default_headers\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"password\":false,\"name\":\"default_headers\",\"advanced\":true,\"dynamic\":false,\"info\":\"\",\"type\":\"dict\",\"list\":false},\"default_query\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"password\":false,\"name\":\"default_query\",\"advanced\":true,\"dynamic\":false,\"info\":\"\",\"type\":\"dict\",\"list\":false},\"deployment\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"value\":\"text-embedding-ada-002\",\"password\":false,\"name\":\"deployment\",\"advanced\":true,\"dynamic\":false,\"info\":\"\",\"type\":\"str\",\"list\":false},\"disallowed_special\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"value\":\"all\",\"password\":false,\"name\":\"disallowed_special\",\"advanced\":true,\"dynamic\":false,\"info\":\"\",\"type\":\"str\",\"list\":true},\"embedding_ctx_length\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"value\":8191,\"password\":false,\"name\":\"embedding_ctx_length\",\"advanced\":true,\"dynamic\":false,\"info\":\"\",\"type\":\"int\",\"list\":false},\"headers\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":true,\"value\":\"{\\\"Authorization\\\": \\\"Bearer \\\"}\",\"password\":false,\"name\":\"headers\",\"advanced\":true,\"dynamic\":false,\"info\":\"\",\"type\":\"Any\",\"list\":false},\"http_client\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"password\":false,\"name\":\"http_client\",\"advanced\":true,\"dynamic\":false,\"info\":\"\",\"type\":\"Any\",\"list\":false},\"max_retries\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"value\":2,\"password\":false,\"name\":\"max_retries\",\"advanced\":true,\"dynamic\":false,\"info\":\"\",\"type\":\"int\",\"list\":false},\"model\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"value\":\"text-embedding-ada-002\",\"password\":false,\"name\":\"model\",\"advanced\":true,\"dynamic\":false,\"info\":\"\",\"type\":\"str\",\"list\":false},\"model_kwargs\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"password\":false,\"name\":\"model_kwargs\",\"advanced\":true,\"dynamic\":false,\"info\":\"\",\"type\":\"dict\",\"list\":false},\"openai_api_base\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"password\":true,\"name\":\"openai_api_base\",\"display_name\":\"OpenAI API Base\",\"advanced\":true,\"dynamic\":false,\"info\":\"\",\"type\":\"str\",\"list\":false},\"openai_api_key\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"value\":\"\",\"password\":true,\"name\":\"openai_api_key\",\"display_name\":\"OpenAI API Key\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"str\",\"list\":false},\"openai_api_type\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"password\":true,\"name\":\"openai_api_type\",\"display_name\":\"OpenAI API Type\",\"advanced\":true,\"dynamic\":false,\"info\":\"\",\"type\":\"str\",\"list\":false},\"openai_api_version\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"password\":true,\"name\":\"openai_api_version\",\"display_name\":\"OpenAI API Version\",\"advanced\":true,\"dynamic\":false,\"info\":\"\",\"type\":\"str\",\"list\":false},\"openai_organization\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"password\":false,\"name\":\"openai_organization\",\"display_name\":\"OpenAI Organization\",\"advanced\":true,\"dynamic\":false,\"info\":\"\",\"type\":\"str\",\"list\":false},\"openai_proxy\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"password\":false,\"name\":\"openai_proxy\",\"display_name\":\"OpenAI Proxy\",\"advanced\":true,\"dynamic\":false,\"info\":\"\",\"type\":\"str\",\"list\":false},\"request_timeout\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"password\":false,\"name\":\"request_timeout\",\"advanced\":true,\"dynamic\":false,\"info\":\"\",\"type\":\"float\",\"list\":false},\"show_progress_bar\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"value\":false,\"password\":false,\"name\":\"show_progress_bar\",\"advanced\":true,\"dynamic\":false,\"info\":\"\",\"type\":\"bool\",\"list\":false},\"skip_empty\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"value\":false,\"password\":false,\"name\":\"skip_empty\",\"advanced\":true,\"dynamic\":false,\"info\":\"\",\"type\":\"bool\",\"list\":false},\"tiktoken_enabled\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"value\":true,\"password\":true,\"name\":\"tiktoken_enabled\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"bool\",\"list\":false},\"tiktoken_model_name\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"password\":true,\"name\":\"tiktoken_model_name\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"str\",\"list\":false},\"_type\":\"OpenAIEmbeddings\"},\"description\":\"OpenAI embedding models.\",\"base_classes\":[\"OpenAIEmbeddings\",\"Embeddings\"],\"display_name\":\"OpenAIEmbeddings\",\"custom_fields\":{},\"output_types\":[],\"documentation\":\"https://python.langchain.com/docs/modules/data_connection/text_embedding/integrations/openai\",\"beta\":false,\"error\":null},\"id\":\"OpenAIEmbeddings-rVj1B\"},\"selected\":true,\"dragging\":false,\"positionAbsolute\":{\"x\":-100.23754663035719,\"y\":-718.7575880388187}}],\"edges\":[],\"viewport\":{\"x\":267.7156633365312,\"y\":716.9644817529361,\"zoom\":0.7169776240079139}},\"is_component\":false,\"updated_at\":\"2023-12-08T18:52:26.999440\",\"folder\":null,\"id\":\"be39958a-ef42-4fa8-8e54-b611e56b5c97\",\"user_id\":\"d253bfba-6368-44dc-85f7-0d6da9e45968\"},{\"name\":\"Graceful Lumiere\",\"description\":\"Conversational Cartography Unlocked.\",\"data\":{\"nodes\":[],\"edges\":[],\"viewport\":{\"zoom\":1,\"x\":0,\"y\":0}},\"is_component\":false,\"updated_at\":\"2023-12-07T01:16:11.012069\",\"folder\":null,\"id\":\"f7dcecfd-533c-4f40-9dcb-f213962ed1a2\",\"user_id\":\"d253bfba-6368-44dc-85f7-0d6da9e45968\"},{\"name\":\"aaaaa\",\"description\":\"Text Generation Meets Business Transformation.\",\"data\":{\"nodes\":[{\"width\":384,\"height\":442,\"id\":\"OpenAIEmbeddings-P6Z0D\",\"type\":\"genericNode\",\"position\":{\"x\":-100.23754663035719,\"y\":-718.7575880388187},\"data\":{\"type\":\"OpenAIEmbeddings\",\"node\":{\"template\":{\"allowed_special\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"value\":[],\"password\":false,\"name\":\"allowed_special\",\"advanced\":true,\"dynamic\":false,\"info\":\"\",\"type\":\"str\",\"list\":true},\"async_client\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"password\":false,\"name\":\"async_client\",\"advanced\":true,\"dynamic\":false,\"info\":\"\",\"type\":\"Any\",\"list\":false},\"chunk_size\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"value\":1000,\"password\":false,\"name\":\"chunk_size\",\"advanced\":true,\"dynamic\":false,\"info\":\"\",\"type\":\"int\",\"list\":false},\"client\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"password\":false,\"name\":\"client\",\"advanced\":true,\"dynamic\":false,\"info\":\"\",\"type\":\"Any\",\"list\":false},\"default_headers\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"password\":false,\"name\":\"default_headers\",\"advanced\":true,\"dynamic\":false,\"info\":\"\",\"type\":\"dict\",\"list\":false},\"default_query\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"password\":false,\"name\":\"default_query\",\"advanced\":true,\"dynamic\":false,\"info\":\"\",\"type\":\"dict\",\"list\":false},\"deployment\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"value\":\"text-embedding-ada-002\",\"password\":false,\"name\":\"deployment\",\"advanced\":true,\"dynamic\":false,\"info\":\"\",\"type\":\"str\",\"list\":false},\"disallowed_special\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"value\":\"all\",\"password\":false,\"name\":\"disallowed_special\",\"advanced\":true,\"dynamic\":false,\"info\":\"\",\"type\":\"str\",\"list\":true},\"embedding_ctx_length\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"value\":8191,\"password\":false,\"name\":\"embedding_ctx_length\",\"advanced\":true,\"dynamic\":false,\"info\":\"\",\"type\":\"int\",\"list\":false},\"headers\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":true,\"value\":\"{\\\"Authorization\\\": \\\"Bearer \\\"}\",\"password\":false,\"name\":\"headers\",\"advanced\":true,\"dynamic\":false,\"info\":\"\",\"type\":\"Any\",\"list\":false},\"http_client\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"password\":false,\"name\":\"http_client\",\"advanced\":true,\"dynamic\":false,\"info\":\"\",\"type\":\"Any\",\"list\":false},\"max_retries\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"value\":2,\"password\":false,\"name\":\"max_retries\",\"advanced\":true,\"dynamic\":false,\"info\":\"\",\"type\":\"int\",\"list\":false},\"model\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"value\":\"text-embedding-ada-002\",\"password\":false,\"name\":\"model\",\"advanced\":true,\"dynamic\":false,\"info\":\"\",\"type\":\"str\",\"list\":false},\"model_kwargs\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"password\":false,\"name\":\"model_kwargs\",\"advanced\":true,\"dynamic\":false,\"info\":\"\",\"type\":\"dict\",\"list\":false},\"openai_api_base\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"password\":true,\"name\":\"openai_api_base\",\"display_name\":\"OpenAI API Base\",\"advanced\":true,\"dynamic\":false,\"info\":\"\",\"type\":\"str\",\"list\":false,\"value\":\"\"},\"openai_api_key\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"value\":\"\",\"password\":true,\"name\":\"openai_api_key\",\"display_name\":\"OpenAI API Key\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"str\",\"list\":false},\"openai_api_type\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"password\":true,\"name\":\"openai_api_type\",\"display_name\":\"OpenAI API Type\",\"advanced\":true,\"dynamic\":false,\"info\":\"\",\"type\":\"str\",\"list\":false,\"value\":\"\"},\"openai_api_version\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"password\":true,\"name\":\"openai_api_version\",\"display_name\":\"OpenAI API Version\",\"advanced\":true,\"dynamic\":false,\"info\":\"\",\"type\":\"str\",\"list\":false,\"value\":\"\"},\"openai_organization\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"password\":false,\"name\":\"openai_organization\",\"display_name\":\"OpenAI Organization\",\"advanced\":true,\"dynamic\":false,\"info\":\"\",\"type\":\"str\",\"list\":false},\"openai_proxy\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"password\":false,\"name\":\"openai_proxy\",\"display_name\":\"OpenAI Proxy\",\"advanced\":true,\"dynamic\":false,\"info\":\"\",\"type\":\"str\",\"list\":false},\"request_timeout\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"password\":false,\"name\":\"request_timeout\",\"advanced\":true,\"dynamic\":false,\"info\":\"\",\"type\":\"float\",\"list\":false},\"show_progress_bar\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"value\":false,\"password\":false,\"name\":\"show_progress_bar\",\"advanced\":true,\"dynamic\":false,\"info\":\"\",\"type\":\"bool\",\"list\":false},\"skip_empty\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"value\":false,\"password\":false,\"name\":\"skip_empty\",\"advanced\":true,\"dynamic\":false,\"info\":\"\",\"type\":\"bool\",\"list\":false},\"tiktoken_enabled\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"value\":true,\"password\":true,\"name\":\"tiktoken_enabled\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"bool\",\"list\":false},\"tiktoken_model_name\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"password\":true,\"name\":\"tiktoken_model_name\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"str\",\"list\":false,\"value\":\"\"},\"_type\":\"OpenAIEmbeddings\"},\"description\":\"OpenAI embedding models.\",\"base_classes\":[\"OpenAIEmbeddings\",\"Embeddings\"],\"display_name\":\"OpenAIEmbeddings\",\"custom_fields\":{},\"output_types\":[],\"documentation\":\"https://python.langchain.com/docs/modules/data_connection/text_embedding/integrations/openai\",\"beta\":false,\"error\":null},\"id\":\"OpenAIEmbeddings-P6Z0D\"},\"selected\":true,\"dragging\":false,\"positionAbsolute\":{\"x\":-100.23754663035719,\"y\":-718.7575880388187}}],\"edges\":[],\"viewport\":{\"x\":266.7156633365312,\"y\":657.9644817529361,\"zoom\":0.7169776240079139}},\"is_component\":false,\"updated_at\":\"2023-12-08T19:05:14.503144\",\"folder\":null,\"id\":\"c2411a20-57c6-44cc-a0d0-2c857453633d\",\"user_id\":\"d253bfba-6368-44dc-85f7-0d6da9e45968\"},{\"name\":\"Lively Aryabhata\",\"description\":\"Design, Develop, Dialogize.\",\"data\":{\"nodes\":[{\"width\":384,\"height\":459,\"id\":\"CustomComponent-Qhbd7\",\"type\":\"genericNode\",\"position\":{\"x\":-224.36198532285903,\"y\":-39.03047722134913},\"data\":{\"type\":\"CustomComponent\",\"node\":{\"template\":{\"code\":{\"dynamic\":true,\"required\":true,\"placeholder\":\"\",\"show\":true,\"multiline\":true,\"value\":\"from langflow import CustomComponent\\nfrom langflow.field_typing import Data\\nfrom openai import OpenAI\\n\\n\\nclass Component(CustomComponent):\\n display_name: str = \\\"OpenAI STT english translator\\\"\\n description: str = \\\"Transcript and translate any audio to english\\\"\\n documentation: str = \\\"http://docs.langflow.org/components/custom\\\"\\n\\n def build_config(self):\\n return {\\\"audio_path\\\":{\\\"display_name\\\":\\\"Audio path\\\",\\\"input_types\\\":[\\\"str\\\"]},\\\"openAI_key\\\":{\\\"display_name\\\":\\\"OpenAI key\\\",\\\"password\\\":True}}\\n\\n def build(self,audio_path:str,openAI_key:str) -> str:\\n client = OpenAI(api_key=openAI_key)\\n audio_file= open(audio_path, \\\"rb\\\")\\n transcript = client.audio.translations.create(\\n model=\\\"whisper-1\\\", \\n file=audio_file\\n )\\n self.status = transcript.text\\n return transcript.text\\n\",\"password\":false,\"name\":\"code\",\"advanced\":false,\"type\":\"code\",\"list\":false},\"_type\":\"CustomComponent\",\"audio_path\":{\"required\":true,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"password\":false,\"name\":\"audio_path\",\"display_name\":\"Audio path\",\"advanced\":false,\"input_types\":[\"str\"],\"dynamic\":false,\"info\":\"\",\"type\":\"str\",\"list\":false,\"value\":\"aaaaa\"},\"openAI_key\":{\"required\":true,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"password\":true,\"name\":\"openAI_key\",\"display_name\":\"OpenAI key\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"str\",\"list\":false,\"value\":\"\"}},\"description\":\"Transcript and translate any audio to english\",\"base_classes\":[\"str\"],\"display_name\":\"OpenAI STT english tra\",\"custom_fields\":{\"audio_path\":null,\"openAI_key\":null},\"output_types\":[\"str\"],\"documentation\":\"http://docs.langflow.org/components/custom\",\"beta\":true,\"error\":null,\"official\":false},\"id\":\"CustomComponent-Qhbd7\"},\"selected\":true,\"dragging\":false,\"positionAbsolute\":{\"x\":-224.36198532285903,\"y\":-39.03047722134913}}],\"edges\":[],\"viewport\":{\"x\":433.8372868055629,\"y\":250.9611989970935,\"zoom\":0.8467453123625275}},\"is_component\":false,\"updated_at\":\"2023-12-08T21:16:56.971879\",\"folder\":null,\"id\":\"122eee5d-9734-4e51-9da5-b39bead64a8d\",\"user_id\":\"d253bfba-6368-44dc-85f7-0d6da9e45968\"},{\"name\":\"Goofy Wing\",\"description\":\"Your Toolkit for Text Generation.\",\"data\":{\"nodes\":[],\"edges\":[],\"viewport\":{\"zoom\":1,\"x\":0,\"y\":0}},\"is_component\":false,\"updated_at\":\"2023-12-08T21:18:23.227017\",\"folder\":null,\"id\":\"171d0063-6446-4c6a-8f5b-786a38951d44\",\"user_id\":\"d253bfba-6368-44dc-85f7-0d6da9e45968\"},{\"name\":\"Mad Boyd\",\"description\":\"Empowering Language Engineering.\",\"data\":{\"nodes\":[],\"edges\":[],\"viewport\":{\"zoom\":1,\"x\":0,\"y\":0}},\"is_component\":false,\"updated_at\":\"2023-12-08T21:18:24.063781\",\"folder\":null,\"id\":\"3a7af50c-6555-4004-a86e-1ea37e477900\",\"user_id\":\"d253bfba-6368-44dc-85f7-0d6da9e45968\"},{\"name\":\"Boring Dewey\",\"description\":\"Unleashing Linguistic Creativity.\",\"data\":{\"nodes\":[],\"edges\":[],\"viewport\":{\"zoom\":1,\"x\":0,\"y\":0}},\"is_component\":false,\"updated_at\":\"2023-12-08T21:18:24.065404\",\"folder\":null,\"id\":\"dc4b4235-a550-41e2-9ddb-bcb352a1bc03\",\"user_id\":\"d253bfba-6368-44dc-85f7-0d6da9e45968\"},{\"name\":\"Nauseous Carroll\",\"description\":\"Navigate the Networks of Conversation.\",\"data\":{\"nodes\":[],\"edges\":[],\"viewport\":{\"zoom\":1,\"x\":0,\"y\":0}},\"is_component\":false,\"updated_at\":\"2023-12-08T21:18:24.087501\",\"folder\":null,\"id\":\"9550e2bf-db7a-41f5-84e5-177a181bbeda\",\"user_id\":\"d253bfba-6368-44dc-85f7-0d6da9e45968\"},{\"name\":\"Silly Engelbart\",\"description\":\"Generate, Innovate, Communicate.\",\"data\":{\"nodes\":[],\"edges\":[],\"viewport\":{\"zoom\":1,\"x\":0,\"y\":0}},\"is_component\":false,\"updated_at\":\"2023-12-08T21:18:24.112543\",\"folder\":null,\"id\":\"6a3a24bb-01cb-4d8e-8d17-0dc92d257322\",\"user_id\":\"d253bfba-6368-44dc-85f7-0d6da9e45968\"},{\"name\":\"Sassy Khayyam\",\"description\":\"Innovation in Interaction, Revolution in Revenue.\",\"data\":{\"nodes\":[],\"edges\":[],\"viewport\":{\"zoom\":1,\"x\":0,\"y\":0}},\"is_component\":false,\"updated_at\":\"2023-12-08T21:18:24.147631\",\"folder\":null,\"id\":\"8d372f5e-ca12-4ea8-a1a1-8846afa72692\",\"user_id\":\"d253bfba-6368-44dc-85f7-0d6da9e45968\"},{\"name\":\"Mirthful Bell\",\"description\":\"Connect the Dots, Craft Language.\",\"data\":{\"nodes\":[],\"edges\":[],\"viewport\":{\"zoom\":1,\"x\":0,\"y\":0}},\"is_component\":false,\"updated_at\":\"2023-12-08T21:18:24.212921\",\"folder\":null,\"id\":\"800f8785-0f41-4db3-aef8-9e3de5250526\",\"user_id\":\"d253bfba-6368-44dc-85f7-0d6da9e45968\"},{\"name\":\"Sleepy Bassi\",\"description\":\"Unleashing Business Potential through Language Engineering.\",\"data\":{\"nodes\":[],\"edges\":[],\"viewport\":{\"zoom\":1,\"x\":0,\"y\":0}},\"is_component\":false,\"updated_at\":\"2023-12-08T21:18:24.395729\",\"folder\":null,\"id\":\"4589607a-065b-4a8f-ba52-5045d7b04086\",\"user_id\":\"d253bfba-6368-44dc-85f7-0d6da9e45968\"},{\"name\":\"Lonely Volhard\",\"description\":\"Where Language Meets Logic.\",\"data\":{\"nodes\":[],\"edges\":[],\"viewport\":{\"zoom\":1,\"x\":0,\"y\":0}},\"is_component\":false,\"updated_at\":\"2023-12-08T21:20:33.263971\",\"folder\":null,\"id\":\"b2440ed8-44fa-4684-adf7-b5e84bff6577\",\"user_id\":\"d253bfba-6368-44dc-85f7-0d6da9e45968\"},{\"name\":\"Ecstatic Poincare\",\"description\":\"Your Passport to Linguistic Landscapes.\",\"data\":{\"nodes\":[],\"edges\":[],\"viewport\":{\"zoom\":1,\"x\":0,\"y\":0}},\"is_component\":false,\"updated_at\":\"2023-12-08T21:20:33.377270\",\"folder\":null,\"id\":\"b996f514-e0b8-432f-969b-7276630a8f4b\",\"user_id\":\"d253bfba-6368-44dc-85f7-0d6da9e45968\"},{\"name\":\"Grave Zuse\",\"description\":\"Text Generation Meets Business Transformation.\",\"data\":{\"nodes\":[],\"edges\":[],\"viewport\":{\"zoom\":1,\"x\":0,\"y\":0}},\"is_component\":false,\"updated_at\":\"2023-12-08T21:20:33.406385\",\"folder\":null,\"id\":\"6e2e9c12-0afc-499e-acdd-adf4b5f7d4fc\",\"user_id\":\"d253bfba-6368-44dc-85f7-0d6da9e45968\"},{\"name\":\"Big Hopper\",\"description\":\"Conversation Catalyst Engine.\",\"data\":{\"nodes\":[],\"edges\":[],\"viewport\":{\"zoom\":1,\"x\":0,\"y\":0}},\"is_component\":false,\"updated_at\":\"2023-12-08T21:20:33.413014\",\"folder\":null,\"id\":\"e020f1a5-aa12-45e7-ba50-6eb64a735e60\",\"user_id\":\"d253bfba-6368-44dc-85f7-0d6da9e45968\"},{\"name\":\"Gleeful Jang\",\"description\":\"Conversation Catalyst Engine.\",\"data\":{\"nodes\":[],\"edges\":[],\"viewport\":{\"zoom\":1,\"x\":0,\"y\":0}},\"is_component\":false,\"updated_at\":\"2023-12-08T21:20:33.433045\",\"folder\":null,\"id\":\"ee58f892-b7b2-408e-b4b9-9d862fc315aa\",\"user_id\":\"d253bfba-6368-44dc-85f7-0d6da9e45968\"},{\"name\":\"Twinkly Ohm\",\"description\":\"Promptly Ingenious!\",\"data\":{\"nodes\":[],\"edges\":[],\"viewport\":{\"zoom\":1,\"x\":0,\"y\":0}},\"is_component\":false,\"updated_at\":\"2023-12-08T21:20:33.403404\",\"folder\":null,\"id\":\"023a1fc3-8807-4167-b6b2-f4e5daf036f1\",\"user_id\":\"d253bfba-6368-44dc-85f7-0d6da9e45968\"},{\"name\":\"Distracted Degrasse\",\"description\":\"Bridging Prompts for Brilliance.\",\"data\":{\"nodes\":[],\"edges\":[],\"viewport\":{\"zoom\":1,\"x\":0,\"y\":0}},\"is_component\":false,\"updated_at\":\"2023-12-08T21:20:33.411655\",\"folder\":null,\"id\":\"085f106f-c1e9-4a0f-ba31-d2fafe685d9c\",\"user_id\":\"d253bfba-6368-44dc-85f7-0d6da9e45968\"},{\"name\":\"Exuberant Volta\",\"description\":\"Catalyzing Business Growth through Conversational AI.\",\"data\":{\"nodes\":[],\"edges\":[],\"viewport\":{\"zoom\":1,\"x\":0,\"y\":0}},\"is_component\":false,\"updated_at\":\"2023-12-08T21:20:33.408697\",\"folder\":null,\"id\":\"14481bb5-1353-452f-9359-d38c9419d79c\",\"user_id\":\"d253bfba-6368-44dc-85f7-0d6da9e45968\"},{\"name\":\"Goofy Bose\",\"description\":\"Conversational Cartography Unlocked.\",\"data\":{\"nodes\":[],\"edges\":[],\"viewport\":{\"zoom\":1,\"x\":0,\"y\":0}},\"is_component\":false,\"updated_at\":\"2023-12-08T21:22:21.774940\",\"folder\":null,\"id\":\"e9316292-4ee1-441b-8327-0b09a7831fe9\",\"user_id\":\"d253bfba-6368-44dc-85f7-0d6da9e45968\"},{\"name\":\"Thirsty Easley\",\"description\":\"Language Models, Mapped and Mastered.\",\"data\":{\"nodes\":[],\"edges\":[],\"viewport\":{\"zoom\":1,\"x\":0,\"y\":0}},\"is_component\":false,\"updated_at\":\"2023-12-08T21:22:22.416556\",\"folder\":null,\"id\":\"668806ba-3efa-44de-aeb7-4ac082ba9172\",\"user_id\":\"d253bfba-6368-44dc-85f7-0d6da9e45968\"},{\"name\":\"Joyous Mestorf\",\"description\":\"Generate, Innovate, Communicate.\",\"data\":{\"nodes\":[],\"edges\":[],\"viewport\":{\"zoom\":1,\"x\":0,\"y\":0}},\"is_component\":false,\"updated_at\":\"2023-12-08T21:22:22.484048\",\"folder\":null,\"id\":\"3fc0a371-aada-4450-9d17-33d3cc05c870\",\"user_id\":\"d253bfba-6368-44dc-85f7-0d6da9e45968\"},{\"name\":\"Playful Franklin\",\"description\":\"Empowering Language Engineering.\",\"data\":{\"nodes\":[],\"edges\":[],\"viewport\":{\"zoom\":1,\"x\":0,\"y\":0}},\"is_component\":false,\"updated_at\":\"2023-12-08T21:22:22.509095\",\"folder\":null,\"id\":\"af967c98-5f08-4ee2-b1ce-6c16b4f9ebe2\",\"user_id\":\"d253bfba-6368-44dc-85f7-0d6da9e45968\"},{\"name\":\"Goofy Bhaskara\",\"description\":\"Empowering Enterprises with Intelligent Interactions.\",\"data\":{\"nodes\":[],\"edges\":[],\"viewport\":{\"zoom\":1,\"x\":0,\"y\":0}},\"is_component\":false,\"updated_at\":\"2023-12-08T21:22:22.508465\",\"folder\":null,\"id\":\"758c4164-b521-45d0-a15f-d49480e312eb\",\"user_id\":\"d253bfba-6368-44dc-85f7-0d6da9e45968\"},{\"name\":\"Funky Edison\",\"description\":\"Unravel the Art of Articulation.\",\"data\":{\"nodes\":[],\"edges\":[],\"viewport\":{\"zoom\":1,\"x\":0,\"y\":0}},\"is_component\":false,\"updated_at\":\"2023-12-08T21:22:22.602296\",\"folder\":null,\"id\":\"f9d3d30f-8859-433f-bafc-ccf1a7196e35\",\"user_id\":\"d253bfba-6368-44dc-85f7-0d6da9e45968\"},{\"name\":\"Silly Ride\",\"description\":\"Unfolding Linguistic Possibilities.\",\"data\":{\"nodes\":[],\"edges\":[],\"viewport\":{\"zoom\":1,\"x\":0,\"y\":0}},\"is_component\":false,\"updated_at\":\"2023-12-08T21:22:22.604061\",\"folder\":null,\"id\":\"0142bca5-eb61-42ed-9917-70c4c0f54eb0\",\"user_id\":\"d253bfba-6368-44dc-85f7-0d6da9e45968\"},{\"name\":\"Goofy Noyce\",\"description\":\"Text Generation Meets Business Transformation.\",\"data\":{\"nodes\":[],\"edges\":[],\"viewport\":{\"zoom\":1,\"x\":0,\"y\":0}},\"is_component\":false,\"updated_at\":\"2023-12-08T21:22:22.603113\",\"folder\":null,\"id\":\"0b63d036-4669-4ceb-8ea4-34035340df77\",\"user_id\":\"d253bfba-6368-44dc-85f7-0d6da9e45968\"},{\"name\":\"Cocky Bhabha\",\"description\":\"Language Engineering Excellence.\",\"data\":{\"nodes\":[],\"edges\":[],\"viewport\":{\"zoom\":1,\"x\":0,\"y\":0}},\"is_component\":false,\"updated_at\":\"2023-12-08T21:23:07.345767\",\"folder\":null,\"id\":\"8b9a66d4-a924-4b84-a2b5-5dd0645ac07a\",\"user_id\":\"d253bfba-6368-44dc-85f7-0d6da9e45968\"},{\"name\":\"Thirsty Zobell\",\"description\":\"Unleashing Business Potential through Language Engineering.\",\"data\":{\"nodes\":[],\"edges\":[],\"viewport\":{\"zoom\":1,\"x\":0,\"y\":0}},\"is_component\":false,\"updated_at\":\"2023-12-08T21:23:07.722319\",\"folder\":null,\"id\":\"c912fd6b-b32d-409f-a0e5-c6249b066429\",\"user_id\":\"d253bfba-6368-44dc-85f7-0d6da9e45968\"},{\"name\":\"Fervent Shaw\",\"description\":\"Language Architect at Work!\",\"data\":{\"nodes\":[],\"edges\":[],\"viewport\":{\"zoom\":1,\"x\":0,\"y\":0}},\"is_component\":false,\"updated_at\":\"2023-12-08T21:23:07.750779\",\"folder\":null,\"id\":\"9d755cd4-c652-43e0-a68d-75a5475ce7a3\",\"user_id\":\"d253bfba-6368-44dc-85f7-0d6da9e45968\"},{\"name\":\"Giggly Newton\",\"description\":\"Navigate the Linguistic Landscape, Discover Opportunities.\",\"data\":{\"nodes\":[],\"edges\":[],\"viewport\":{\"zoom\":1,\"x\":0,\"y\":0}},\"is_component\":false,\"updated_at\":\"2023-12-08T21:23:07.786602\",\"folder\":null,\"id\":\"0d3af7de-1ada-4c43-a69f-1bfad370ccfc\",\"user_id\":\"d253bfba-6368-44dc-85f7-0d6da9e45968\"},{\"name\":\"Modest Yalow\",\"description\":\"Text Generation Meets Business Transformation.\",\"data\":{\"nodes\":[],\"edges\":[],\"viewport\":{\"zoom\":1,\"x\":0,\"y\":0}},\"is_component\":false,\"updated_at\":\"2023-12-08T21:23:07.792245\",\"folder\":null,\"id\":\"b6444376-4162-436b-8b40-f5a6afc850db\",\"user_id\":\"d253bfba-6368-44dc-85f7-0d6da9e45968\"},{\"name\":\"Sad Bhabha\",\"description\":\"Empowering Enterprises with Intelligent Interactions.\",\"data\":{\"nodes\":[],\"edges\":[],\"viewport\":{\"zoom\":1,\"x\":0,\"y\":0}},\"is_component\":false,\"updated_at\":\"2023-12-08T21:23:07.890349\",\"folder\":null,\"id\":\"d90af439-fb34-4d27-98f2-06f7f9a9ed8c\",\"user_id\":\"d253bfba-6368-44dc-85f7-0d6da9e45968\"},{\"name\":\"Spirited Hoover\",\"description\":\"The Pinnacle of Prompt Generation.\",\"data\":{\"nodes\":[],\"edges\":[],\"viewport\":{\"zoom\":1,\"x\":0,\"y\":0}},\"is_component\":false,\"updated_at\":\"2023-12-08T21:23:07.905750\",\"folder\":null,\"id\":\"31597ce2-de3c-490b-9ead-3f702f63cfd9\",\"user_id\":\"d253bfba-6368-44dc-85f7-0d6da9e45968\"},{\"name\":\"Trusting Davinci\",\"description\":\"Design, Develop, Dialogize.\",\"data\":{\"nodes\":[],\"edges\":[],\"viewport\":{\"zoom\":1,\"x\":0,\"y\":0}},\"is_component\":false,\"updated_at\":\"2023-12-08T21:23:08.001400\",\"folder\":null,\"id\":\"b43c63e9-a257-4a53-8acc-049e13706ac2\",\"user_id\":\"d253bfba-6368-44dc-85f7-0d6da9e45968\"},{\"name\":\"23\",\"description\":\"23\",\"data\":{\"nodes\":[{\"width\":384,\"height\":467,\"id\":\"PromptTemplate-K7xiS\",\"type\":\"genericNode\",\"position\":{\"x\":-658.2250903773149,\"y\":809.352046606987},\"data\":{\"type\":\"PromptTemplate\",\"node\":{\"template\":{\"output_parser\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"password\":false,\"name\":\"output_parser\",\"advanced\":false,\"dynamic\":true,\"info\":\"\",\"type\":\"BaseOutputParser\",\"list\":false},\"input_types\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"password\":false,\"name\":\"input_types\",\"advanced\":false,\"dynamic\":true,\"info\":\"\",\"type\":\"dict\",\"list\":false},\"input_variables\":{\"required\":true,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"password\":false,\"name\":\"input_variables\",\"advanced\":false,\"dynamic\":true,\"info\":\"\",\"type\":\"str\",\"list\":true,\"value\":[\"dasdas\",\"dasdasd\"]},\"partial_variables\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"password\":false,\"name\":\"partial_variables\",\"advanced\":false,\"dynamic\":true,\"info\":\"\",\"type\":\"dict\",\"list\":false},\"template\":{\"required\":true,\"placeholder\":\"\",\"show\":true,\"multiline\":true,\"password\":false,\"name\":\"template\",\"advanced\":false,\"dynamic\":true,\"info\":\"\",\"type\":\"prompt\",\"list\":false,\"value\":\"{dasdas}\\n{dasdasd}\\n\"},\"template_format\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"value\":\"f-string\",\"password\":false,\"name\":\"template_format\",\"advanced\":false,\"dynamic\":true,\"info\":\"\",\"type\":\"str\",\"list\":false},\"validate_template\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"value\":false,\"password\":false,\"name\":\"validate_template\",\"advanced\":false,\"dynamic\":true,\"info\":\"\",\"type\":\"bool\",\"list\":false},\"_type\":\"PromptTemplate\",\"dasdas\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":true,\"value\":\"\",\"password\":false,\"name\":\"dasdas\",\"display_name\":\"dasdas\",\"advanced\":false,\"input_types\":[\"Document\",\"BaseOutputParser\"],\"dynamic\":false,\"info\":\"\",\"type\":\"str\",\"list\":false},\"dasdasd\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":true,\"value\":\"\",\"password\":false,\"name\":\"dasdasd\",\"display_name\":\"dasdasd\",\"advanced\":false,\"input_types\":[\"Document\",\"BaseOutputParser\"],\"dynamic\":false,\"info\":\"\",\"type\":\"str\",\"list\":false}},\"description\":\"A prompt template for a language model.\",\"base_classes\":[\"PromptTemplate\",\"BasePromptTemplate\",\"StringPromptTemplate\"],\"name\":\"\",\"display_name\":\"PromptTemplate\",\"documentation\":\"https://python.langchain.com/docs/modules/model_io/prompts/prompt_templates/\",\"custom_fields\":{\"\":[\"dasdas\",\"dasdasd\"]},\"output_types\":[],\"full_path\":null,\"field_formatters\":{},\"beta\":false,\"error\":null},\"id\":\"PromptTemplate-K7xiS\"},\"selected\":false,\"positionAbsolute\":{\"x\":-658.2250903773149,\"y\":809.352046606987},\"dragging\":false},{\"width\":384,\"height\":366,\"id\":\"AirbyteJSONLoader-DXfcM\",\"type\":\"genericNode\",\"position\":{\"x\":-1110.8267574563533,\"y\":569.1107380883907},\"data\":{\"type\":\"AirbyteJSONLoader\",\"node\":{\"template\":{\"file_path\":{\"required\":true,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"value\":\"\",\"suffixes\":[\".json\"],\"password\":false,\"name\":\"file_path\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"file\",\"list\":false,\"fileTypes\":[\"json\"],\"file_path\":null},\"metadata\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"value\":[{\"\":\"\"}],\"password\":false,\"name\":\"metadata\",\"display_name\":\"Metadata\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"dict\",\"list\":false},\"_type\":\"AirbyteJSONLoader\"},\"description\":\"Load local `Airbyte` json files.\",\"base_classes\":[\"Document\"],\"display_name\":\"AirbyteJSONLoader\",\"custom_fields\":{},\"output_types\":[\"Document\"],\"documentation\":\"https://python.langchain.com/docs/modules/data_connection/document_loaders/integrations/airbyte_json\",\"beta\":false,\"error\":null,\"official\":false},\"id\":\"AirbyteJSONLoader-DXfcM\"},\"selected\":false,\"positionAbsolute\":{\"x\":-1110.8267574563533,\"y\":569.1107380883907},\"dragging\":false},{\"width\":384,\"height\":376,\"id\":\"PromptRunner-ckWMH\",\"type\":\"genericNode\",\"position\":{\"x\":-1149.4746387825978,\"y\":992.3970573758324},\"data\":{\"type\":\"PromptRunner\",\"node\":{\"template\":{\"code\":{\"dynamic\":true,\"required\":true,\"placeholder\":\"\",\"show\":false,\"multiline\":true,\"value\":\"from langflow import CustomComponent\\n\\nfrom langchain.llms.base import BaseLLM\\nfrom langchain.prompts import PromptTemplate\\nfrom langchain.schema import Document\\n\\n\\nclass PromptRunner(CustomComponent):\\n display_name: str = \\\"Prompt Runner\\\"\\n description: str = \\\"Run a Chain with the given PromptTemplate\\\"\\n beta: bool = True\\n field_config = {\\n \\\"llm\\\": {\\\"display_name\\\": \\\"LLM\\\"},\\n \\\"prompt\\\": {\\n \\\"display_name\\\": \\\"Prompt Template\\\",\\n \\\"info\\\": \\\"Make sure the prompt has all variables filled.\\\",\\n },\\n \\\"code\\\": {\\\"show\\\": False},\\n }\\n\\n def build(self, llm: BaseLLM, prompt: PromptTemplate, inputs: dict = {}) -> Document:\\n chain = prompt | llm\\n # The input is an empty dict because the prompt is already filled\\n result = chain.invoke(input=inputs)\\n if hasattr(result, \\\"content\\\"):\\n result = result.content\\n self.repr_value = result\\n return Document(page_content=str(result))\\n\",\"password\":false,\"name\":\"code\",\"advanced\":false,\"type\":\"code\",\"list\":false},\"_type\":\"CustomComponent\",\"inputs\":{\"required\":true,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"value\":[{\"\":\"\"}],\"password\":false,\"name\":\"inputs\",\"display_name\":\"inputs\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"dict\",\"list\":false},\"llm\":{\"required\":true,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"password\":false,\"name\":\"llm\",\"display_name\":\"LLM\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"BaseLLM\",\"list\":false},\"prompt\":{\"required\":true,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"password\":false,\"name\":\"prompt\",\"display_name\":\"Prompt Template\",\"advanced\":false,\"dynamic\":false,\"info\":\"Make sure the prompt has all variables filled.\",\"type\":\"PromptTemplate\",\"list\":false}},\"description\":\"Run a Chain with the given PromptTemplate\",\"base_classes\":[\"Document\"],\"display_name\":\"Prompt Runner\",\"custom_fields\":{\"inputs\":null,\"llm\":null,\"prompt\":null},\"output_types\":[\"PromptRunner\"],\"documentation\":\"\",\"beta\":true,\"error\":null},\"id\":\"PromptRunner-ckWMH\"},\"selected\":false,\"positionAbsolute\":{\"x\":-1149.4746387825978,\"y\":992.3970573758324},\"dragging\":false}],\"edges\":[{\"source\":\"PromptRunner-ckWMH\",\"sourceHandle\":\"{œbaseClassesœ:[œDocumentœ],œdataTypeœ:œPromptRunnerœ,œidœ:œPromptRunner-ckWMHœ}\",\"target\":\"PromptTemplate-K7xiS\",\"targetHandle\":\"{œfieldNameœ:œdasdasdœ,œidœ:œPromptTemplate-K7xiSœ,œinputTypesœ:[œDocumentœ,œBaseOutputParserœ],œtypeœ:œstrœ}\",\"data\":{\"targetHandle\":{\"fieldName\":\"dasdasd\",\"id\":\"PromptTemplate-K7xiS\",\"inputTypes\":[\"Document\",\"BaseOutputParser\"],\"type\":\"str\"},\"sourceHandle\":{\"baseClasses\":[\"Document\"],\"dataType\":\"PromptRunner\",\"id\":\"PromptRunner-ckWMH\"}},\"style\":{\"stroke\":\"#555\"},\"className\":\"stroke-gray-900 stroke-connection\",\"animated\":false,\"id\":\"reactflow__edge-PromptRunner-ckWMH{œbaseClassesœ:[œDocumentœ],œdataTypeœ:œPromptRunnerœ,œidœ:œPromptRunner-ckWMHœ}-PromptTemplate-K7xiS{œfieldNameœ:œdasdasdœ,œidœ:œPromptTemplate-K7xiSœ,œinputTypesœ:[œDocumentœ,œBaseOutputParserœ],œtypeœ:œstrœ}\"},{\"source\":\"AirbyteJSONLoader-DXfcM\",\"sourceHandle\":\"{œbaseClassesœ:[œDocumentœ],œdataTypeœ:œAirbyteJSONLoaderœ,œidœ:œAirbyteJSONLoader-DXfcMœ}\",\"target\":\"PromptTemplate-K7xiS\",\"targetHandle\":\"{œfieldNameœ:œdasdasœ,œidœ:œPromptTemplate-K7xiSœ,œinputTypesœ:[œDocumentœ,œBaseOutputParserœ],œtypeœ:œstrœ}\",\"data\":{\"targetHandle\":{\"fieldName\":\"dasdas\",\"id\":\"PromptTemplate-K7xiS\",\"inputTypes\":[\"Document\",\"BaseOutputParser\"],\"type\":\"str\"},\"sourceHandle\":{\"baseClasses\":[\"Document\"],\"dataType\":\"AirbyteJSONLoader\",\"id\":\"AirbyteJSONLoader-DXfcM\"}},\"style\":{\"stroke\":\"#555\"},\"className\":\"stroke-gray-900 stroke-connection\",\"animated\":false,\"id\":\"reactflow__edge-AirbyteJSONLoader-DXfcM{œbaseClassesœ:[œDocumentœ],œdataTypeœ:œAirbyteJSONLoaderœ,œidœ:œAirbyteJSONLoader-DXfcMœ}-PromptTemplate-K7xiS{œfieldNameœ:œdasdasœ,œidœ:œPromptTemplate-K7xiSœ,œinputTypesœ:[œDocumentœ,œBaseOutputParserœ],œtypeœ:œstrœ}\"}],\"viewport\":{\"x\":721.09842496776,\"y\":-303.59762799439625,\"zoom\":0.6417129487814537}},\"is_component\":false,\"updated_at\":\"2023-12-08T22:52:14.560323\",\"folder\":null,\"id\":\"8533c46e-21fd-4b92-b68e-1086ea86c72d\",\"user_id\":\"d253bfba-6368-44dc-85f7-0d6da9e45968\"},{\"name\":\"Twinkly Stonebraker\",\"description\":\"Navigate the Linguistic Landscape, Discover Opportunities.\",\"data\":{\"nodes\":[],\"edges\":[],\"viewport\":{\"zoom\":1,\"x\":0,\"y\":0}},\"is_component\":false,\"updated_at\":\"2023-12-09T13:26:42.332360\",\"folder\":null,\"id\":\"92bc0875-4a73-44f2-9410-3b8342e404bf\",\"user_id\":\"d253bfba-6368-44dc-85f7-0d6da9e45968\"},{\"name\":\"Metaphor Search (1)\",\"description\":\"Search in Metaphor with a custom string.\",\"data\":{\"edges\":[],\"nodes\":[{\"data\":{\"type\":\"CustomComponent\",\"node\":{\"template\":{\"code\":{\"dynamic\":true,\"required\":true,\"placeholder\":\"\",\"show\":true,\"multiline\":true,\"value\":\"from langflow import CustomComponent\\nfrom typing import List, Union\\nfrom langchain.llms.base import BaseLLM\\nfrom langchain.chains import LLMChain\\nfrom langchain import PromptTemplate\\nfrom langchain.schema import Document\\nfrom metaphor_python import Metaphor\\nimport json\\n\\nfrom typing import List\\nfrom langflow.field_typing import Data\\n\\nclass MetaphorSearch(CustomComponent):\\n display_name: str = \\\"Metaphor Search\\\"\\n description: str = \\\"Search in Metaphor with a custom string.\\\"\\n beta = True\\n \\n def build_config(self):\\n return {\\n \\\"metaphor_client\\\": {\\\"display_name\\\": \\\"Metaphor Wrapper\\\"}, \\n \\\"search_num_results\\\": {\\\"display_name\\\": \\\"Number of Results (per domain)\\\"},\\n \\\"include_domains\\\": {\\\"display_name\\\": \\\"Include Domains\\\", \\\"is_list\\\": True},\\n \\\"start_date\\\": {\\\"display_name\\\": \\\"Start Date\\\"},\\n \\\"use_autoprompt\\\": {\\\"display_name\\\": \\\"Use Autoprompt\\\", \\\"type\\\": \\\"boolean\\\"},\\n \\\"search_type\\\": {\\\"display_name\\\": \\\"Search Type\\\", \\\"options\\\": [\\\"neural\\\", \\\"keyword\\\"]},\\n \\\"start_date\\\": {\\\"input_types\\\": [\\\"Data\\\"]}\\n }\\n\\n def build(\\n self,\\n methaphor_client: Data,\\n query: str,\\n search_type: str='keyword',\\n search_num_results: int = 5,\\n include_domains: List[str]= [\\\"youtube.com\\\"],\\n use_autoprompt: bool = False,\\n start_date: str=\\\"2023-01-01\\\",\\n \\n ) -> Data:\\n \\n results = []\\n for domain in include_domains:\\n response = methaphor_client.search(\\n query,\\n num_results=int(search_num_results),\\n include_domains=[domain],\\n use_autoprompt=use_autoprompt,\\n type=search_type,\\n # start_crawl_date=start_date,\\n start_published_date=start_date\\n )\\n results.extend(response.results)\\n \\n self.repr_value = results\\n\\n return results\\n\\n\",\"password\":false,\"name\":\"code\",\"advanced\":false,\"type\":\"code\",\"list\":false},\"_type\":\"CustomComponent\",\"include_domains\":{\"required\":true,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"value\":[\"yout\"],\"password\":false,\"name\":\"include_domains\",\"display_name\":\"Include Domains\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"str\",\"list\":true},\"methaphor_client\":{\"required\":true,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"password\":false,\"name\":\"methaphor_client\",\"display_name\":\"methaphor_client\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"Data\",\"list\":false},\"query\":{\"required\":true,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"password\":false,\"name\":\"query\",\"display_name\":\"query\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"str\",\"list\":false,\"value\":\"pasteldasdasdas\"},\"search_num_results\":{\"required\":true,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"value\":5,\"password\":false,\"name\":\"search_num_results\",\"display_name\":\"Number of Results (per domain)\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"int\",\"list\":false},\"search_type\":{\"required\":true,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"value\":\"keyword\",\"password\":false,\"options\":[\"neural\",\"keyword\"],\"name\":\"search_type\",\"display_name\":\"Search Type\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"str\",\"list\":true},\"start_date\":{\"required\":true,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"value\":\"\",\"password\":false,\"name\":\"start_date\",\"display_name\":\"start_date\",\"advanced\":false,\"input_types\":[\"Data\"],\"dynamic\":false,\"info\":\"\",\"type\":\"str\",\"list\":false},\"use_autoprompt\":{\"required\":true,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"value\":false,\"password\":false,\"name\":\"use_autoprompt\",\"display_name\":\"Use Autoprompt\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"bool\",\"list\":false}},\"description\":\"Search in Metaphor with a custom string.\",\"base_classes\":[\"Data\"],\"display_name\":\"Metaphor Search\",\"custom_fields\":{\"include_domains\":null,\"methaphor_client\":null,\"query\":null,\"search_num_results\":null,\"search_type\":null,\"start_date\":null,\"use_autoprompt\":null},\"output_types\":[\"Data\"],\"documentation\":\"\",\"beta\":true,\"error\":null,\"official\":false},\"id\":\"CustomComponent-dMB5d\"},\"id\":\"CustomComponent-dMB5d\",\"position\":{\"x\":0,\"y\":0},\"type\":\"genericNode\"}],\"viewport\":{\"x\":1,\"y\":1,\"zoom\":1}},\"is_component\":true,\"updated_at\":\"2023-12-09T13:26:43.668665\",\"folder\":null,\"id\":\"912265df-9b87-4b30-a585-1ca59b944391\",\"user_id\":\"d253bfba-6368-44dc-85f7-0d6da9e45968\"},{\"name\":\"Metaphor Search (2)\",\"description\":\"Search in Metaphor with a custom string.\",\"data\":{\"edges\":[],\"nodes\":[{\"data\":{\"type\":\"CustomComponent\",\"node\":{\"template\":{\"code\":{\"dynamic\":true,\"required\":true,\"placeholder\":\"\",\"show\":true,\"multiline\":true,\"value\":\"from langflow import CustomComponent\\nfrom typing import List, Union\\nfrom langchain.llms.base import BaseLLM\\nfrom langchain.chains import LLMChain\\nfrom langchain import PromptTemplate\\nfrom langchain.schema import Document\\nfrom metaphor_python import Metaphor\\nimport json\\n\\nfrom typing import List\\nfrom langflow.field_typing import Data\\n\\nclass MetaphorSearch(CustomComponent):\\n display_name: str = \\\"Metaphor Search\\\"\\n description: str = \\\"Search in Metaphor with a custom string.\\\"\\n beta = True\\n \\n def build_config(self):\\n return {\\n \\\"metaphor_client\\\": {\\\"display_name\\\": \\\"Metaphor Wrapper\\\"}, \\n \\\"search_num_results\\\": {\\\"display_name\\\": \\\"Number of Results (per domain)\\\"},\\n \\\"include_domains\\\": {\\\"display_name\\\": \\\"Include Domains\\\", \\\"is_list\\\": True},\\n \\\"start_date\\\": {\\\"display_name\\\": \\\"Start Date\\\"},\\n \\\"use_autoprompt\\\": {\\\"display_name\\\": \\\"Use Autoprompt\\\", \\\"type\\\": \\\"boolean\\\"},\\n \\\"search_type\\\": {\\\"display_name\\\": \\\"Search Type\\\", \\\"options\\\": [\\\"neural\\\", \\\"keyword\\\"]},\\n \\\"start_date\\\": {\\\"input_types\\\": [\\\"Data\\\"]}\\n }\\n\\n def build(\\n self,\\n methaphor_client: Data,\\n query: str,\\n search_type: str='keyword',\\n search_num_results: int = 5,\\n include_domains: List[str]= [\\\"youtube.com\\\"],\\n use_autoprompt: bool = False,\\n start_date: str=\\\"2023-01-01\\\",\\n \\n ) -> Data:\\n \\n results = []\\n for domain in include_domains:\\n response = methaphor_client.search(\\n query,\\n num_results=int(search_num_results),\\n include_domains=[domain],\\n use_autoprompt=use_autoprompt,\\n type=search_type,\\n # start_crawl_date=start_date,\\n start_published_date=start_date\\n )\\n results.extend(response.results)\\n \\n self.repr_value = results\\n\\n return results\\n\\n\",\"password\":false,\"name\":\"code\",\"advanced\":false,\"type\":\"code\",\"list\":false},\"_type\":\"CustomComponent\",\"include_domains\":{\"required\":true,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"value\":[\"yout\"],\"password\":false,\"name\":\"include_domains\",\"display_name\":\"Include Domains\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"str\",\"list\":true},\"methaphor_client\":{\"required\":true,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"password\":false,\"name\":\"methaphor_client\",\"display_name\":\"methaphor_client\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"Data\",\"list\":false},\"query\":{\"required\":true,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"password\":false,\"name\":\"query\",\"display_name\":\"query\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"str\",\"list\":false,\"value\":\"pasteldasdasdas\"},\"search_num_results\":{\"required\":true,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"value\":5,\"password\":false,\"name\":\"search_num_results\",\"display_name\":\"Number of Results (per domain)\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"int\",\"list\":false},\"search_type\":{\"required\":true,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"value\":\"keyword\",\"password\":false,\"options\":[\"neural\",\"keyword\"],\"name\":\"search_type\",\"display_name\":\"Search Type\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"str\",\"list\":true},\"start_date\":{\"required\":true,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"value\":\"\",\"password\":false,\"name\":\"start_date\",\"display_name\":\"start_date\",\"advanced\":false,\"input_types\":[\"Data\"],\"dynamic\":false,\"info\":\"\",\"type\":\"str\",\"list\":false},\"use_autoprompt\":{\"required\":true,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"value\":false,\"password\":false,\"name\":\"use_autoprompt\",\"display_name\":\"Use Autoprompt\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"bool\",\"list\":false}},\"description\":\"Search in Metaphor with a custom string.\",\"base_classes\":[\"Data\"],\"display_name\":\"Metaphor Search\",\"custom_fields\":{\"include_domains\":null,\"methaphor_client\":null,\"query\":null,\"search_num_results\":null,\"search_type\":null,\"start_date\":null,\"use_autoprompt\":null},\"output_types\":[\"Data\"],\"documentation\":\"\",\"beta\":true,\"error\":null,\"official\":false},\"id\":\"CustomComponent-ipifC\"},\"id\":\"CustomComponent-ipifC\",\"position\":{\"x\":0,\"y\":0},\"type\":\"genericNode\"}],\"viewport\":{\"x\":1,\"y\":1,\"zoom\":1}},\"is_component\":true,\"updated_at\":\"2023-12-09T13:26:49.799612\",\"folder\":null,\"id\":\"ca83ee08-2f93-427d-9897-80fef6dd5447\",\"user_id\":\"d253bfba-6368-44dc-85f7-0d6da9e45968\"},{\"name\":\"Metaphor Search\",\"description\":\"Search in Metaphor with a custom string.\",\"data\":{\"edges\":[],\"nodes\":[{\"data\":{\"type\":\"CustomComponent\",\"node\":{\"template\":{\"code\":{\"dynamic\":true,\"required\":true,\"placeholder\":\"\",\"show\":true,\"multiline\":true,\"value\":\"from langflow import CustomComponent\\nfrom typing import List, Union\\nfrom langchain.llms.base import BaseLLM\\nfrom langchain.chains import LLMChain\\nfrom langchain import PromptTemplate\\nfrom langchain.schema import Document\\nfrom metaphor_python import Metaphor\\nimport json\\n\\nfrom typing import List\\nfrom langflow.field_typing import Data\\n\\nclass MetaphorSearch(CustomComponent):\\n display_name: str = \\\"Metaphor Search\\\"\\n description: str = \\\"Search in Metaphor with a custom string.\\\"\\n beta = True\\n \\n def build_config(self):\\n return {\\n \\\"metaphor_client\\\": {\\\"display_name\\\": \\\"Metaphor Wrapper\\\"}, \\n \\\"search_num_results\\\": {\\\"display_name\\\": \\\"Number of Results (per domain)\\\"},\\n \\\"include_domains\\\": {\\\"display_name\\\": \\\"Include Domains\\\", \\\"is_list\\\": True},\\n \\\"start_date\\\": {\\\"display_name\\\": \\\"Start Date\\\"},\\n \\\"use_autoprompt\\\": {\\\"display_name\\\": \\\"Use Autoprompt\\\", \\\"type\\\": \\\"boolean\\\"},\\n \\\"search_type\\\": {\\\"display_name\\\": \\\"Search Type\\\", \\\"options\\\": [\\\"neural\\\", \\\"keyword\\\"]},\\n \\\"start_date\\\": {\\\"input_types\\\": [\\\"Data\\\"]}\\n }\\n\\n def build(\\n self,\\n methaphor_client: Data,\\n query: str,\\n search_type: str='keyword',\\n search_num_results: int = 5,\\n include_domains: List[str]= [\\\"youtube.com\\\"],\\n use_autoprompt: bool = False,\\n start_date: str=\\\"2023-01-01\\\",\\n \\n ) -> Data:\\n \\n results = []\\n for domain in include_domains:\\n response = methaphor_client.search(\\n query,\\n num_results=int(search_num_results),\\n include_domains=[domain],\\n use_autoprompt=use_autoprompt,\\n type=search_type,\\n # start_crawl_date=start_date,\\n start_published_date=start_date\\n )\\n results.extend(response.results)\\n \\n self.repr_value = results\\n\\n return results\\n\\n\",\"password\":false,\"name\":\"code\",\"advanced\":false,\"type\":\"code\",\"list\":false},\"_type\":\"CustomComponent\",\"include_domains\":{\"required\":true,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"value\":[\"yout\"],\"password\":false,\"name\":\"include_domains\",\"display_name\":\"Include Domains\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"str\",\"list\":true},\"methaphor_client\":{\"required\":true,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"password\":false,\"name\":\"methaphor_client\",\"display_name\":\"methaphor_client\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"Data\",\"list\":false},\"query\":{\"required\":true,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"password\":false,\"name\":\"query\",\"display_name\":\"query\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"str\",\"list\":false,\"value\":\"pasteldasdasdas\"},\"search_num_results\":{\"required\":true,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"value\":5,\"password\":false,\"name\":\"search_num_results\",\"display_name\":\"Number of Results (per domain)\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"int\",\"list\":false},\"search_type\":{\"required\":true,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"value\":\"keyword\",\"password\":false,\"options\":[\"neural\",\"keyword\"],\"name\":\"search_type\",\"display_name\":\"Search Type\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"str\",\"list\":true},\"start_date\":{\"required\":true,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"value\":\"\",\"password\":false,\"name\":\"start_date\",\"display_name\":\"start_date\",\"advanced\":false,\"input_types\":[\"Data\"],\"dynamic\":false,\"info\":\"\",\"type\":\"str\",\"list\":false},\"use_autoprompt\":{\"required\":true,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"value\":false,\"password\":false,\"name\":\"use_autoprompt\",\"display_name\":\"Use Autoprompt\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"bool\",\"list\":false}},\"description\":\"Search in Metaphor with a custom string.\",\"base_classes\":[\"Data\"],\"display_name\":\"Metaphor Search\",\"custom_fields\":{\"include_domains\":null,\"methaphor_client\":null,\"query\":null,\"search_num_results\":null,\"search_type\":null,\"start_date\":null,\"use_autoprompt\":null},\"output_types\":[\"Data\"],\"documentation\":\"\",\"beta\":true,\"error\":null,\"official\":false},\"id\":\"CustomComponent-Y4qL7\"},\"id\":\"CustomComponent-Y4qL7\",\"position\":{\"x\":0,\"y\":0},\"type\":\"genericNode\"}],\"viewport\":{\"x\":1,\"y\":1,\"zoom\":1}},\"is_component\":true,\"updated_at\":\"2023-12-09T13:26:53.719960\",\"folder\":null,\"id\":\"5847602b-769a-4a82-82e8-a70f54a59929\",\"user_id\":\"d253bfba-6368-44dc-85f7-0d6da9e45968\"},{\"name\":\"Lively Williams\",\"description\":\"Conversational Cartography Unlocked.\",\"data\":{\"nodes\":[],\"edges\":[],\"viewport\":{\"zoom\":1,\"x\":0,\"y\":0}},\"is_component\":false,\"updated_at\":\"2023-12-09T13:27:45.691254\",\"folder\":null,\"id\":\"0e3bdba9-127a-4399-81a4-2865b70a4a47\",\"user_id\":\"d253bfba-6368-44dc-85f7-0d6da9e45968\"},{\"name\":\"Shared Component\",\"description\":\"Conversational Cartography Unlocked.\",\"data\":{\"nodes\":[{\"width\":384,\"height\":328,\"id\":\"CSVAgent-TK9Ea\",\"type\":\"genericNode\",\"position\":{\"x\":251.25514772667083,\"y\":160.7424529887874},\"data\":{\"type\":\"CSVAgent\",\"node\":{\"template\":{\"llm\":{\"required\":true,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"password\":false,\"name\":\"llm\",\"display_name\":\"LLM\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"BaseLanguageModel\",\"list\":false},\"path\":{\"required\":true,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"value\":\"\",\"password\":false,\"name\":\"path\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"file\",\"list\":false,\"fileTypes\":[\".csv\"],\"file_path\":null},\"_type\":\"csv_agent\"},\"description\":\"Construct a CSV agent from a CSV and tools.\",\"base_classes\":[\"AgentExecutor\"],\"display_name\":\"CSVAgent\",\"custom_fields\":{},\"output_types\":[],\"documentation\":\"https://python.langchain.com/docs/modules/agents/toolkits/csv\",\"beta\":false,\"error\":null},\"id\":\"CSVAgent-TK9Ea\"},\"positionAbsolute\":{\"x\":251.25514772667083,\"y\":160.7424529887874}}],\"edges\":[],\"viewport\":{\"x\":104.85568116317398,\"y\":88.26375874183478,\"zoom\":0.7169776240079145}},\"is_component\":false,\"updated_at\":\"2023-12-09T13:28:34.119070\",\"folder\":null,\"id\":\"29c1a247-47b0-457b-8666-7c0a67dc72b0\",\"user_id\":\"d253bfba-6368-44dc-85f7-0d6da9e45968\"},{\"name\":\"teste cristhian\",\"description\":\"11111\",\"data\":{\"nodes\":[{\"width\":384,\"height\":328,\"id\":\"CSVAgent-P5wrB\",\"type\":\"genericNode\",\"position\":{\"x\":251.25514772667083,\"y\":160.7424529887874},\"data\":{\"type\":\"CSVAgent\",\"node\":{\"template\":{\"llm\":{\"required\":true,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"password\":false,\"name\":\"llm\",\"display_name\":\"LLM\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"BaseLanguageModel\",\"list\":false},\"path\":{\"required\":true,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"value\":\"\",\"password\":false,\"name\":\"path\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"file\",\"list\":false,\"fileTypes\":[\".csv\"],\"file_path\":null},\"_type\":\"csv_agent\"},\"description\":\"Construct a CSV agent from a CSV and tools.\",\"base_classes\":[\"AgentExecutor\"],\"display_name\":\"CSVAgent\",\"custom_fields\":{},\"output_types\":[],\"documentation\":\"https://python.langchain.com/docs/modules/agents/toolkits/csv\",\"beta\":false,\"error\":null},\"id\":\"CSVAgent-P5wrB\"},\"positionAbsolute\":{\"x\":251.25514772667083,\"y\":160.7424529887874}},{\"width\":384,\"height\":626,\"id\":\"OpenAI-zpihD\",\"type\":\"genericNode\",\"position\":{\"x\":-56.983202536768374,\"y\":61.715652677908665},\"data\":{\"type\":\"OpenAI\",\"node\":{\"template\":{\"callbacks\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"password\":false,\"name\":\"callbacks\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"langchain_core.callbacks.base.BaseCallbackHandler\",\"list\":true},\"allowed_special\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"value\":[],\"password\":false,\"name\":\"allowed_special\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"str\",\"list\":true},\"async_client\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"password\":false,\"name\":\"async_client\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"Any\",\"list\":false},\"batch_size\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"value\":20,\"password\":false,\"name\":\"batch_size\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"int\",\"list\":false},\"best_of\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"value\":1,\"password\":false,\"name\":\"best_of\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"int\",\"list\":false},\"cache\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"password\":false,\"name\":\"cache\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"bool\",\"list\":false},\"client\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"password\":false,\"name\":\"client\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"Any\",\"list\":false},\"default_headers\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"password\":false,\"name\":\"default_headers\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"dict\",\"list\":false},\"default_query\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"password\":false,\"name\":\"default_query\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"dict\",\"list\":false},\"disallowed_special\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"value\":\"all\",\"password\":false,\"name\":\"disallowed_special\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"str\",\"list\":false},\"frequency_penalty\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"value\":0,\"password\":false,\"name\":\"frequency_penalty\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"float\",\"list\":false},\"http_client\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"password\":false,\"name\":\"http_client\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"Any\",\"list\":false},\"logit_bias\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"password\":false,\"name\":\"logit_bias\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"dict\",\"list\":false},\"max_retries\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"value\":2,\"password\":false,\"name\":\"max_retries\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"int\",\"list\":false},\"max_tokens\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"value\":\"\",\"password\":true,\"name\":\"max_tokens\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"int\",\"list\":false},\"metadata\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"password\":false,\"name\":\"metadata\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"dict\",\"list\":false},\"model_kwargs\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"password\":false,\"name\":\"model_kwargs\",\"advanced\":true,\"dynamic\":false,\"info\":\"\",\"type\":\"dict\",\"list\":false},\"model_name\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"value\":\"text-babbage-001\",\"password\":false,\"options\":[\"text-davinci-003\",\"text-davinci-002\",\"text-curie-001\",\"text-babbage-001\",\"text-ada-001\"],\"name\":\"model_name\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"str\",\"list\":true},\"n\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"value\":1,\"password\":false,\"name\":\"n\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"int\",\"list\":false},\"openai_api_base\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"password\":false,\"name\":\"openai_api_base\",\"display_name\":\"OpenAI API Base\",\"advanced\":false,\"dynamic\":false,\"info\":\"\\nThe base URL of the OpenAI API. Defaults to https://api.openai.com/v1.\\n\\nYou can change this to use other APIs like JinaChat, LocalAI and Prem.\\n\",\"type\":\"str\",\"list\":false,\"value\":\"dasdasdasdsadasdas\"},\"openai_api_key\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"value\":\"\",\"password\":true,\"name\":\"openai_api_key\",\"display_name\":\"OpenAI API Key\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"str\",\"list\":false},\"openai_organization\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"password\":false,\"name\":\"openai_organization\",\"display_name\":\"OpenAI Organization\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"str\",\"list\":false},\"openai_proxy\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"password\":false,\"name\":\"openai_proxy\",\"display_name\":\"OpenAI Proxy\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"str\",\"list\":false},\"presence_penalty\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"value\":0,\"password\":false,\"name\":\"presence_penalty\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"float\",\"list\":false},\"request_timeout\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"password\":false,\"name\":\"request_timeout\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"float\",\"list\":false},\"streaming\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"value\":false,\"password\":false,\"name\":\"streaming\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"bool\",\"list\":false},\"tags\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"password\":false,\"name\":\"tags\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"str\",\"list\":true},\"temperature\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"value\":\"1.4\",\"password\":false,\"name\":\"temperature\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"float\",\"list\":false},\"tiktoken_model_name\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"password\":false,\"name\":\"tiktoken_model_name\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"str\",\"list\":false},\"top_p\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"value\":1,\"password\":false,\"name\":\"top_p\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"float\",\"list\":false},\"verbose\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"password\":false,\"name\":\"verbose\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"bool\",\"list\":false},\"_type\":\"OpenAI\"},\"description\":\"OpenAI large language models.\",\"base_classes\":[\"OpenAI\",\"BaseLanguageModel\",\"BaseLLM\",\"BaseOpenAI\"],\"display_name\":\"OpenAI\",\"custom_fields\":{},\"output_types\":[],\"documentation\":\"https://python.langchain.com/docs/modules/model_io/models/llms/integrations/openai\",\"beta\":false,\"error\":null},\"id\":\"OpenAI-zpihD\"},\"selected\":true,\"dragging\":false,\"positionAbsolute\":{\"x\":-56.983202536768374,\"y\":61.715652677908665}}],\"edges\":[],\"viewport\":{\"x\":104.85568116317398,\"y\":88.26375874183478,\"zoom\":0.7169776240079145}},\"is_component\":false,\"updated_at\":\"2023-12-09T13:40:48.453096\",\"folder\":null,\"id\":\"2e59d013-2acb-49a6-915b-9231a7e6eb58\",\"user_id\":\"d253bfba-6368-44dc-85f7-0d6da9e45968\"},{\"name\":\"CSVAgent (1)\",\"description\":\"Construct a CSV agent from a CSV and tools.\",\"data\":{\"edges\":[],\"nodes\":[{\"data\":{\"type\":\"CSVAgent\",\"node\":{\"template\":{\"llm\":{\"required\":true,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"password\":false,\"name\":\"llm\",\"display_name\":\"LLM\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"BaseLanguageModel\",\"list\":false},\"path\":{\"required\":true,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"value\":\"\",\"password\":false,\"name\":\"path\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"file\",\"list\":false,\"fileTypes\":[\".csv\"],\"file_path\":null},\"_type\":\"csv_agent\"},\"description\":\"Construct a CSV agent from a CSV and tools.\",\"base_classes\":[\"AgentExecutor\"],\"display_name\":\"CSVAgent\",\"custom_fields\":{},\"output_types\":[],\"documentation\":\"https://python.langchain.com/docs/modules/agents/toolkits/csv\",\"beta\":false,\"error\":null,\"official\":false},\"id\":\"CSVAgent-jsHqy\"},\"id\":\"CSVAgent-jsHqy\",\"position\":{\"x\":0,\"y\":0},\"type\":\"genericNode\"}],\"viewport\":{\"x\":1,\"y\":1,\"zoom\":1}},\"is_component\":true,\"updated_at\":\"2023-12-09T13:31:17.317322\",\"folder\":null,\"id\":\"ab1034a9-9b5b-4c65-bf6e-9f098a403942\",\"user_id\":\"d253bfba-6368-44dc-85f7-0d6da9e45968\"},{\"name\":\"Suspicious Wilsonfasdfsd\",\"description\":\"Building Linguistic Labyrinths.fasdfads\",\"data\":{\"nodes\":[],\"edges\":[],\"viewport\":{\"zoom\":1,\"x\":0,\"y\":0}},\"is_component\":false,\"updated_at\":\"2023-12-09T14:43:45.298121\",\"folder\":null,\"id\":\"7d91c0c5-fba6-4c60-b4d1-11d430ef357a\",\"user_id\":\"d253bfba-6368-44dc-85f7-0d6da9e45968\"},{\"name\":\"AirbyteJSONLoader (1)\",\"description\":\"Load local `Airbyte` json files.\",\"data\":{\"edges\":[],\"nodes\":[{\"data\":{\"type\":\"AirbyteJSONLoader\",\"node\":{\"template\":{\"file_path\":{\"required\":true,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"value\":\"\",\"password\":false,\"name\":\"file_path\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"file\",\"list\":false,\"fileTypes\":[\".json\"],\"file_path\":null},\"metadata\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"value\":[{\"\":\"\"}],\"password\":false,\"name\":\"metadata\",\"display_name\":\"Metadata\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"dict\",\"list\":false},\"_type\":\"AirbyteJSONLoader\"},\"description\":\"Load local `Airbyte` json files.\",\"base_classes\":[\"Document\"],\"display_name\":\"AirbyteJSONLoader\",\"custom_fields\":{},\"output_types\":[\"Document\"],\"documentation\":\"https://python.langchain.com/docs/modules/data_connection/document_loaders/integrations/airbyte_json\",\"beta\":false,\"error\":null,\"official\":false},\"id\":\"AirbyteJSONLoader-pAHh6\"},\"id\":\"AirbyteJSONLoader-pAHh6\",\"position\":{\"x\":0,\"y\":0},\"type\":\"genericNode\"}],\"viewport\":{\"x\":1,\"y\":1,\"zoom\":1}},\"is_component\":true,\"updated_at\":\"2023-12-09T13:47:58.573137\",\"folder\":null,\"id\":\"f0cc4292-97cc-4748-803d-949e30dcf661\",\"user_id\":\"d253bfba-6368-44dc-85f7-0d6da9e45968\"},{\"name\":\"AirbyteJSONLoader\",\"description\":\"Load local `Airbyte` json files.\",\"data\":{\"edges\":[],\"nodes\":[{\"data\":{\"type\":\"AirbyteJSONLoader\",\"node\":{\"template\":{\"file_path\":{\"required\":true,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"value\":\"\",\"password\":false,\"name\":\"file_path\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"file\",\"list\":false,\"fileTypes\":[\".json\"],\"file_path\":null},\"metadata\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"value\":[{\"ff2\":\"d3bbd\"},{\"w\":\"bvd\"}],\"password\":false,\"name\":\"metadata\",\"display_name\":\"Metadata\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"dict\",\"list\":false},\"_type\":\"AirbyteJSONLoader\"},\"description\":\"Load local `Airbyte` json files.\",\"base_classes\":[\"Document\"],\"display_name\":\"AirbyteJSONLoader\",\"custom_fields\":{},\"output_types\":[\"Document\"],\"documentation\":\"https://python.langchain.com/docs/modules/data_connection/document_loaders/integrations/airbyte_json\",\"beta\":false,\"error\":null,\"official\":false},\"id\":\"AirbyteJSONLoader-0zU2Q\"},\"id\":\"AirbyteJSONLoader-0zU2Q\",\"position\":{\"x\":0,\"y\":0},\"type\":\"genericNode\"}],\"viewport\":{\"x\":1,\"y\":1,\"zoom\":1}},\"is_component\":true,\"updated_at\":\"2023-12-09T13:50:09.035318\",\"folder\":null,\"id\":\"5e3c0d55-1a00-4e15-9821-0c625c6415ff\",\"user_id\":\"d253bfba-6368-44dc-85f7-0d6da9e45968\"},{\"name\":\"CSVAgent\",\"description\":\"Construct a CSV agent from a CSV and tools.\",\"data\":{\"edges\":[],\"nodes\":[{\"data\":{\"type\":\"CSVAgent\",\"node\":{\"template\":{\"llm\":{\"required\":true,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"password\":false,\"name\":\"llm\",\"display_name\":\"LLM\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"BaseLanguageModel\",\"list\":false},\"path\":{\"required\":true,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"value\":\"\",\"password\":false,\"name\":\"path\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"file\",\"list\":false,\"fileTypes\":[\".csv\"],\"file_path\":null},\"_type\":\"csv_agent\"},\"description\":\"Construct a CSV agent from a CSV and tools.\",\"base_classes\":[\"AgentExecutor\"],\"display_name\":\"CSVAgent\",\"custom_fields\":{},\"output_types\":[],\"documentation\":\"https://python.langchain.com/docs/modules/agents/toolkits/csv\",\"beta\":false,\"error\":null,\"official\":false},\"id\":\"CSVAgent-Ub1Xe\"},\"id\":\"CSVAgent-Ub1Xe\",\"position\":{\"x\":0,\"y\":0},\"type\":\"genericNode\"}],\"viewport\":{\"x\":1,\"y\":1,\"zoom\":1}},\"is_component\":true,\"updated_at\":\"2023-12-09T13:50:16.985419\",\"folder\":null,\"id\":\"baee8061-4788-4ce6-928f-c6ce1ecb443c\",\"user_id\":\"d253bfba-6368-44dc-85f7-0d6da9e45968\"},{\"name\":\"Lively Heisenberg\",\"description\":\"Maximize Impact with Intelligent Conversations.\",\"data\":{\"nodes\":[{\"width\":384,\"height\":366,\"id\":\"CSVLoader-RMUx9\",\"type\":\"genericNode\",\"position\":{\"x\":111,\"y\":345.51250076293945},\"data\":{\"type\":\"CSVLoader\",\"node\":{\"template\":{\"file_path\":{\"required\":true,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"value\":\"\",\"password\":false,\"name\":\"file_path\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"file\",\"list\":false,\"fileTypes\":[\".csv\"],\"file_path\":null},\"metadata\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"value\":[{\"z2b\":\"z9\"}],\"password\":false,\"name\":\"metadata\",\"display_name\":\"Metadata\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"dict\",\"list\":false},\"_type\":\"CSVLoader\"},\"description\":\"Load a `CSV` file into a list of Documents.\",\"base_classes\":[\"Document\"],\"display_name\":\"CSVLoader\",\"custom_fields\":{},\"output_types\":[\"Document\"],\"documentation\":\"https://python.langchain.com/docs/modules/data_connection/document_loaders/integrations/csv\",\"beta\":false,\"error\":null},\"id\":\"CSVLoader-RMUx9\"},\"positionAbsolute\":{\"x\":111,\"y\":345.51250076293945}}],\"edges\":[],\"viewport\":{\"x\":0,\"y\":0,\"zoom\":1}},\"is_component\":false,\"updated_at\":\"2023-12-09T14:38:40.291137\",\"folder\":null,\"id\":\"109e9629-d569-4555-9d40-42203a5ed035\",\"user_id\":\"d253bfba-6368-44dc-85f7-0d6da9e45968\"},{\"name\":\"CohereEmbeddings\",\"description\":\"Cohere embedding models.\",\"data\":{\"edges\":[],\"nodes\":[{\"data\":{\"type\":\"CohereEmbeddings\",\"node\":{\"template\":{\"async_client\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"password\":false,\"name\":\"async_client\",\"advanced\":true,\"dynamic\":false,\"info\":\"\",\"type\":\"Any\",\"list\":false},\"client\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"password\":false,\"name\":\"client\",\"advanced\":true,\"dynamic\":false,\"info\":\"\",\"type\":\"Any\",\"list\":false},\"cohere_api_key\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"password\":true,\"name\":\"cohere_api_key\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"str\",\"list\":false,\"value\":\"\"},\"max_retries\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"password\":false,\"name\":\"max_retries\",\"advanced\":true,\"dynamic\":false,\"info\":\"\",\"type\":\"int\",\"list\":false},\"model\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"value\":\"embed-english-v2.0\",\"password\":false,\"name\":\"model\",\"advanced\":true,\"dynamic\":false,\"info\":\"\",\"type\":\"str\",\"list\":false},\"request_timeout\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"password\":false,\"name\":\"request_timeout\",\"advanced\":true,\"dynamic\":false,\"info\":\"\",\"type\":\"float\",\"list\":false},\"truncate\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"password\":false,\"name\":\"truncate\",\"advanced\":true,\"dynamic\":false,\"info\":\"\",\"type\":\"str\",\"list\":false},\"user_agent\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"value\":\"langchain\",\"password\":false,\"name\":\"user_agent\",\"advanced\":true,\"dynamic\":false,\"info\":\"\",\"type\":\"str\",\"list\":false},\"_type\":\"CohereEmbeddings\"},\"description\":\"Cohere embedding models.\",\"base_classes\":[\"CohereEmbeddings\",\"Embeddings\"],\"display_name\":\"CohereEmbeddings\",\"custom_fields\":{},\"output_types\":[],\"documentation\":\"https://python.langchain.com/docs/modules/data_connection/text_embedding/integrations/cohere\",\"beta\":false,\"error\":null,\"official\":false},\"id\":\"CohereEmbeddings-HFUAf\"},\"id\":\"CohereEmbeddings-HFUAf\",\"position\":{\"x\":0,\"y\":0},\"type\":\"genericNode\"}],\"viewport\":{\"x\":1,\"y\":1,\"zoom\":1}},\"is_component\":true,\"updated_at\":\"2023-12-09T13:50:46.172344\",\"folder\":null,\"id\":\"662d8040-d47c-40db-bda1-66489a1c9d24\",\"user_id\":\"d253bfba-6368-44dc-85f7-0d6da9e45968\"},{\"name\":\"CSVLoader (1)\",\"description\":\"Load a `CSV` file into a list of Documents.\",\"data\":{\"edges\":[],\"nodes\":[{\"data\":{\"type\":\"CSVLoader\",\"node\":{\"template\":{\"file_path\":{\"required\":true,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"value\":\"\",\"password\":false,\"name\":\"file_path\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"file\",\"list\":false,\"fileTypes\":[\".csv\"],\"file_path\":null},\"metadata\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"value\":[{\"cddscz23\":\"aaqd\"}],\"password\":false,\"name\":\"metadata\",\"display_name\":\"Metadata\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"dict\",\"list\":false},\"_type\":\"CSVLoader\"},\"description\":\"Load a `CSV` file into a list of Documents.\",\"base_classes\":[\"Document\"],\"display_name\":\"CSVLoader\",\"custom_fields\":{},\"output_types\":[\"Document\"],\"documentation\":\"https://python.langchain.com/docs/modules/data_connection/document_loaders/integrations/csv\",\"beta\":false,\"error\":null,\"official\":false},\"id\":\"CSVLoader-3wrib\"},\"id\":\"CSVLoader-3wrib\",\"position\":{\"x\":0,\"y\":0},\"type\":\"genericNode\"}],\"viewport\":{\"x\":1,\"y\":1,\"zoom\":1}},\"is_component\":true,\"updated_at\":\"2023-12-09T13:56:11.662526\",\"folder\":null,\"id\":\"4fae6aec-ddbd-498d-a4d1-ca0290f6a5ad\",\"user_id\":\"d253bfba-6368-44dc-85f7-0d6da9e45968\"},{\"name\":\"CSVLoader (2)\",\"description\":\"Load a `CSV` file into a list of Documents.\",\"data\":{\"edges\":[],\"nodes\":[{\"data\":{\"type\":\"CSVLoader\",\"node\":{\"template\":{\"file_path\":{\"required\":true,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"value\":\"\",\"password\":false,\"name\":\"file_path\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"file\",\"list\":false,\"fileTypes\":[\".csv\"],\"file_path\":null},\"metadata\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"value\":[{\"cddscz23\":\"aaqd\"}],\"password\":false,\"name\":\"metadata\",\"display_name\":\"Metadata\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"dict\",\"list\":false},\"_type\":\"CSVLoader\"},\"description\":\"Load a `CSV` file into a list of Documents.\",\"base_classes\":[\"Document\"],\"display_name\":\"CSVLoader\",\"custom_fields\":{},\"output_types\":[\"Document\"],\"documentation\":\"https://python.langchain.com/docs/modules/data_connection/document_loaders/integrations/csv\",\"beta\":false,\"error\":null,\"official\":false},\"id\":\"CSVLoader-VEjyx\"},\"id\":\"CSVLoader-VEjyx\",\"position\":{\"x\":0,\"y\":0},\"type\":\"genericNode\"}],\"viewport\":{\"x\":1,\"y\":1,\"zoom\":1}},\"is_component\":true,\"updated_at\":\"2023-12-09T13:57:37.560784\",\"folder\":null,\"id\":\"d80635ee-966c-41f2-981c-afa2c388ac6e\",\"user_id\":\"d253bfba-6368-44dc-85f7-0d6da9e45968\"},{\"name\":\"CSVLoader (3)\",\"description\":\"Load a `CSV` file into a list of Documents.\",\"data\":{\"edges\":[],\"nodes\":[{\"data\":{\"type\":\"CSVLoader\",\"node\":{\"template\":{\"file_path\":{\"required\":true,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"value\":\"\",\"password\":false,\"name\":\"file_path\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"file\",\"list\":false,\"fileTypes\":[\".csv\"],\"file_path\":null},\"metadata\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"value\":[{\"cddscz23\":\"aaqd\"}],\"password\":false,\"name\":\"metadata\",\"display_name\":\"Metadata\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"dict\",\"list\":false},\"_type\":\"CSVLoader\"},\"description\":\"Load a `CSV` file into a list of Documents.\",\"base_classes\":[\"Document\"],\"display_name\":\"CSVLoader\",\"custom_fields\":{},\"output_types\":[\"Document\"],\"documentation\":\"https://python.langchain.com/docs/modules/data_connection/document_loaders/integrations/csv\",\"beta\":false,\"error\":null,\"official\":false},\"id\":\"CSVLoader-PIhOc\"},\"id\":\"CSVLoader-PIhOc\",\"position\":{\"x\":0,\"y\":0},\"type\":\"genericNode\"}],\"viewport\":{\"x\":1,\"y\":1,\"zoom\":1}},\"is_component\":true,\"updated_at\":\"2023-12-09T14:00:27.991966\",\"folder\":null,\"id\":\"c5cc4c32-77c8-4889-a9f8-2632466b7366\",\"user_id\":\"d253bfba-6368-44dc-85f7-0d6da9e45968\"},{\"name\":\"CSVLoader (4)\",\"description\":\"Load a `CSV` file into a list of Documents.\",\"data\":{\"edges\":[],\"nodes\":[{\"data\":{\"type\":\"CSVLoader\",\"node\":{\"template\":{\"file_path\":{\"required\":true,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"value\":\"\",\"password\":false,\"name\":\"file_path\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"file\",\"list\":false,\"fileTypes\":[\".csv\"],\"file_path\":null},\"metadata\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"value\":[{\"cddscz23\":\"aaqd\"}],\"password\":false,\"name\":\"metadata\",\"display_name\":\"Metadata\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"dict\",\"list\":false},\"_type\":\"CSVLoader\"},\"description\":\"Load a `CSV` file into a list of Documents.\",\"base_classes\":[\"Document\"],\"display_name\":\"CSVLoader\",\"custom_fields\":{},\"output_types\":[\"Document\"],\"documentation\":\"https://python.langchain.com/docs/modules/data_connection/document_loaders/integrations/csv\",\"beta\":false,\"error\":null,\"official\":false},\"id\":\"CSVLoader-deB43\"},\"id\":\"CSVLoader-deB43\",\"position\":{\"x\":0,\"y\":0},\"type\":\"genericNode\"}],\"viewport\":{\"x\":1,\"y\":1,\"zoom\":1}},\"is_component\":true,\"updated_at\":\"2023-12-09T14:00:42.509243\",\"folder\":null,\"id\":\"0ab59938-ccf4-4bb9-b285-1f5da38648f0\",\"user_id\":\"d253bfba-6368-44dc-85f7-0d6da9e45968\"},{\"name\":\"CSVLoader\",\"description\":\"Load a `CSV` file into a list of Documents.\",\"data\":{\"edges\":[],\"nodes\":[{\"data\":{\"type\":\"CSVLoader\",\"node\":{\"template\":{\"file_path\":{\"required\":true,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"value\":\"\",\"password\":false,\"name\":\"file_path\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"file\",\"list\":false,\"fileTypes\":[\".csv\"],\"file_path\":null},\"metadata\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"value\":[{\"\":\"aaqd\"}],\"password\":false,\"name\":\"metadata\",\"display_name\":\"Metadata\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"dict\",\"list\":false},\"_type\":\"CSVLoader\"},\"description\":\"Load a `CSV` file into a list of Documents.\",\"base_classes\":[\"Document\"],\"display_name\":\"CSVLoader\",\"custom_fields\":{},\"output_types\":[\"Document\"],\"documentation\":\"https://python.langchain.com/docs/modules/data_connection/document_loaders/integrations/csv\",\"beta\":false,\"error\":null,\"official\":false},\"id\":\"CSVLoader-mdkLm\"},\"id\":\"CSVLoader-mdkLm\",\"position\":{\"x\":0,\"y\":0},\"type\":\"genericNode\"}],\"viewport\":{\"x\":1,\"y\":1,\"zoom\":1}},\"is_component\":true,\"updated_at\":\"2023-12-09T14:02:17.458354\",\"folder\":null,\"id\":\"f127b7e7-4149-492e-8998-6b1b35ec4153\",\"user_id\":\"d253bfba-6368-44dc-85f7-0d6da9e45968\"},{\"name\":\"CSVLoader (5)\",\"description\":\"Load a `CSV` file into a list of Documents.\",\"data\":{\"edges\":[],\"nodes\":[{\"data\":{\"type\":\"CSVLoader\",\"node\":{\"template\":{\"file_path\":{\"required\":true,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"value\":\"\",\"password\":false,\"name\":\"file_path\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"file\",\"list\":false,\"fileTypes\":[\".csv\"],\"file_path\":null},\"metadata\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"value\":[{\"cddscz23\":\"aaqd\"}],\"password\":false,\"name\":\"metadata\",\"display_name\":\"Metadata\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"dict\",\"list\":false},\"_type\":\"CSVLoader\"},\"description\":\"Load a `CSV` file into a list of Documents.\",\"base_classes\":[\"Document\"],\"display_name\":\"CSVLoader\",\"custom_fields\":{},\"output_types\":[\"Document\"],\"documentation\":\"https://python.langchain.com/docs/modules/data_connection/document_loaders/integrations/csv\",\"beta\":false,\"error\":null,\"official\":false},\"id\":\"CSVLoader-FRc6Y\"},\"id\":\"CSVLoader-FRc6Y\",\"position\":{\"x\":0,\"y\":0},\"type\":\"genericNode\"}],\"viewport\":{\"x\":1,\"y\":1,\"zoom\":1}},\"is_component\":true,\"updated_at\":\"2023-12-09T14:02:26.958867\",\"folder\":null,\"id\":\"a870a096-725c-4914-add0-8d57d710b7e5\",\"user_id\":\"d253bfba-6368-44dc-85f7-0d6da9e45968\"},{\"name\":\"AirbyteJSONLoader (2)\",\"description\":\"Load local `Airbyte` json files.\",\"data\":{\"edges\":[],\"nodes\":[{\"data\":{\"type\":\"AirbyteJSONLoader\",\"node\":{\"template\":{\"file_path\":{\"required\":true,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"value\":\"\",\"password\":false,\"name\":\"file_path\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"file\",\"list\":false,\"fileTypes\":[\".json\"],\"file_path\":null},\"metadata\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"value\":[{\"\":\"\"}],\"password\":false,\"name\":\"metadata\",\"display_name\":\"Metadata\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"dict\",\"list\":false},\"_type\":\"AirbyteJSONLoader\"},\"description\":\"Load local `Airbyte` json files.\",\"base_classes\":[\"Document\"],\"display_name\":\"AirbyteJSONLoader\",\"custom_fields\":{},\"output_types\":[\"Document\"],\"documentation\":\"https://python.langchain.com/docs/modules/data_connection/document_loaders/integrations/airbyte_json\",\"beta\":false,\"error\":null,\"official\":false},\"id\":\"AirbyteJSONLoader-Z0uol\"},\"id\":\"AirbyteJSONLoader-Z0uol\",\"position\":{\"x\":0,\"y\":0},\"type\":\"genericNode\"}],\"viewport\":{\"x\":1,\"y\":1,\"zoom\":1}},\"is_component\":true,\"updated_at\":\"2023-12-09T14:03:33.764117\",\"folder\":null,\"id\":\"2a37c76c-65c8-4c01-a72d-eb46f3d41a56\",\"user_id\":\"d253bfba-6368-44dc-85f7-0d6da9e45968\"},{\"name\":\"Amazon Bedrock Embeddings\",\"description\":\"Embeddings model from Amazon Bedrock.\",\"data\":{\"edges\":[],\"nodes\":[{\"data\":{\"type\":\"AmazonBedrockEmbeddings\",\"node\":{\"template\":{\"code\":{\"dynamic\":true,\"required\":true,\"placeholder\":\"\",\"show\":false,\"multiline\":true,\"value\":\"from typing import Optional\\n\\nfrom langchain.embeddings import BedrockEmbeddings\\nfrom langchain.embeddings.base import Embeddings\\nfrom langflow import CustomComponent\\n\\n\\nclass AmazonBedrockEmeddingsComponent(CustomComponent):\\n \\\"\\\"\\\"\\n A custom component for implementing an Embeddings Model using Amazon Bedrock.\\n \\\"\\\"\\\"\\n\\n display_name: str = \\\"Amazon Bedrock Embeddings\\\"\\n description: str = \\\"Embeddings model from Amazon Bedrock.\\\"\\n documentation = \\\"https://python.langchain.com/docs/modules/data_connection/text_embedding/integrations/bedrock\\\"\\n beta = True\\n\\n def build_config(self):\\n return {\\n \\\"model_id\\\": {\\n \\\"display_name\\\": \\\"Model Id\\\",\\n \\\"options\\\": [\\\"amazon.titan-embed-text-v1\\\"],\\n },\\n \\\"credentials_profile_name\\\": {\\\"display_name\\\": \\\"Credentials Profile Name\\\"},\\n \\\"endpoint_url\\\": {\\\"display_name\\\": \\\"Bedrock Endpoint URL\\\"},\\n \\\"region_name\\\": {\\\"display_name\\\": \\\"AWS Region\\\"},\\n \\\"code\\\": {\\\"show\\\": False},\\n }\\n\\n def build(\\n self,\\n model_id: str = \\\"amazon.titan-embed-text-v1\\\",\\n credentials_profile_name: Optional[str] = None,\\n endpoint_url: Optional[str] = None,\\n region_name: Optional[str] = None,\\n ) -> Embeddings:\\n try:\\n output = BedrockEmbeddings(\\n credentials_profile_name=credentials_profile_name,\\n model_id=model_id,\\n endpoint_url=endpoint_url,\\n region_name=region_name,\\n ) # type: ignore\\n except Exception as e:\\n raise ValueError(\\\"Could not connect to AmazonBedrock API.\\\") from e\\n return output\\n\",\"password\":false,\"name\":\"code\",\"advanced\":false,\"type\":\"code\",\"list\":false},\"_type\":\"CustomComponent\",\"credentials_profile_name\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"password\":false,\"name\":\"credentials_profile_name\",\"display_name\":\"Credentials Profile Name\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"str\",\"list\":false},\"endpoint_url\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"password\":false,\"name\":\"endpoint_url\",\"display_name\":\"Bedrock Endpoint URL\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"str\",\"list\":false},\"model_id\":{\"required\":true,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"value\":\"amazon.titan-embed-text-v1\",\"password\":false,\"options\":[\"amazon.titan-embed-text-v1\"],\"name\":\"model_id\",\"display_name\":\"Model Id\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"str\",\"list\":true},\"region_name\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"password\":false,\"name\":\"region_name\",\"display_name\":\"AWS Region\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"str\",\"list\":false}},\"description\":\"Embeddings model from Amazon Bedrock.\",\"base_classes\":[\"Embeddings\"],\"display_name\":\"Amazon Bedrock Embeddings\",\"custom_fields\":{\"credentials_profile_name\":null,\"endpoint_url\":null,\"model_id\":null,\"region_name\":null},\"output_types\":[\"AmazonBedrockEmbeddings\"],\"documentation\":\"https://python.langchain.com/docs/modules/data_connection/text_embedding/integrations/bedrock\",\"beta\":true,\"error\":null,\"official\":false},\"id\":\"AmazonBedrockEmbeddings-28ASv\"},\"id\":\"AmazonBedrockEmbeddings-28ASv\",\"position\":{\"x\":0,\"y\":0},\"type\":\"genericNode\"}],\"viewport\":{\"x\":1,\"y\":1,\"zoom\":1}},\"is_component\":true,\"updated_at\":\"2023-12-09T14:03:41.066618\",\"folder\":null,\"id\":\"850ba4e6-96ca-49a7-9b0c-4b7048fd52c8\",\"user_id\":\"d253bfba-6368-44dc-85f7-0d6da9e45968\"},{\"name\":\"ConversationBufferMemory\",\"description\":\"Buffer for storing conversation memory.\",\"data\":{\"edges\":[],\"nodes\":[{\"data\":{\"type\":\"ConversationBufferMemory\",\"node\":{\"template\":{\"chat_memory\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"password\":false,\"name\":\"chat_memory\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"BaseChatMessageHistory\",\"list\":false},\"ai_prefix\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"value\":\"AI\",\"password\":false,\"name\":\"ai_prefix\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"str\",\"list\":false},\"human_prefix\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"value\":\"Human\",\"password\":false,\"name\":\"human_prefix\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"str\",\"list\":false},\"input_key\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"value\":\"\",\"password\":false,\"name\":\"input_key\",\"advanced\":false,\"dynamic\":false,\"info\":\"The variable to be used as Chat Input when more than one variable is available.\",\"type\":\"str\",\"list\":false},\"memory_key\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"value\":\"chat_history\",\"password\":false,\"name\":\"memory_key\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"str\",\"list\":false},\"output_key\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"value\":\"\",\"password\":false,\"name\":\"output_key\",\"advanced\":false,\"dynamic\":false,\"info\":\"The variable to be used as Chat Output (e.g. answer in a ConversationalRetrievalChain)\",\"type\":\"str\",\"list\":false},\"return_messages\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"password\":false,\"name\":\"return_messages\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"bool\",\"list\":false},\"_type\":\"ConversationBufferMemory\"},\"description\":\"Buffer for storing conversation memory.\",\"base_classes\":[\"BaseMemory\",\"BaseChatMemory\",\"ConversationBufferMemory\"],\"display_name\":\"ConversationBufferMemory\",\"custom_fields\":{},\"output_types\":[],\"documentation\":\"https://python.langchain.com/docs/modules/memory/how_to/buffer\",\"beta\":false,\"error\":null,\"official\":false},\"id\":\"ConversationBufferMemory-WaoLx\"},\"id\":\"ConversationBufferMemory-WaoLx\",\"position\":{\"x\":0,\"y\":0},\"type\":\"genericNode\"}],\"viewport\":{\"x\":1,\"y\":1,\"zoom\":1}},\"is_component\":true,\"updated_at\":\"2023-12-09T14:04:46.058568\",\"folder\":null,\"id\":\"be650940-0449-4eb0-a708-056310f924fd\",\"user_id\":\"d253bfba-6368-44dc-85f7-0d6da9e45968\"},{\"name\":\"Amazon Bedrock Embeddings (1)\",\"description\":\"Embeddings model from Amazon Bedrock.\",\"data\":{\"edges\":[],\"nodes\":[{\"data\":{\"type\":\"AmazonBedrockEmbeddings\",\"node\":{\"template\":{\"code\":{\"dynamic\":true,\"required\":true,\"placeholder\":\"\",\"show\":false,\"multiline\":true,\"value\":\"from typing import Optional\\n\\nfrom langchain.embeddings import BedrockEmbeddings\\nfrom langchain.embeddings.base import Embeddings\\nfrom langflow import CustomComponent\\n\\n\\nclass AmazonBedrockEmeddingsComponent(CustomComponent):\\n \\\"\\\"\\\"\\n A custom component for implementing an Embeddings Model using Amazon Bedrock.\\n \\\"\\\"\\\"\\n\\n display_name: str = \\\"Amazon Bedrock Embeddings\\\"\\n description: str = \\\"Embeddings model from Amazon Bedrock.\\\"\\n documentation = \\\"https://python.langchain.com/docs/modules/data_connection/text_embedding/integrations/bedrock\\\"\\n beta = True\\n\\n def build_config(self):\\n return {\\n \\\"model_id\\\": {\\n \\\"display_name\\\": \\\"Model Id\\\",\\n \\\"options\\\": [\\\"amazon.titan-embed-text-v1\\\"],\\n },\\n \\\"credentials_profile_name\\\": {\\\"display_name\\\": \\\"Credentials Profile Name\\\"},\\n \\\"endpoint_url\\\": {\\\"display_name\\\": \\\"Bedrock Endpoint URL\\\"},\\n \\\"region_name\\\": {\\\"display_name\\\": \\\"AWS Region\\\"},\\n \\\"code\\\": {\\\"show\\\": False},\\n }\\n\\n def build(\\n self,\\n model_id: str = \\\"amazon.titan-embed-text-v1\\\",\\n credentials_profile_name: Optional[str] = None,\\n endpoint_url: Optional[str] = None,\\n region_name: Optional[str] = None,\\n ) -> Embeddings:\\n try:\\n output = BedrockEmbeddings(\\n credentials_profile_name=credentials_profile_name,\\n model_id=model_id,\\n endpoint_url=endpoint_url,\\n region_name=region_name,\\n ) # type: ignore\\n except Exception as e:\\n raise ValueError(\\\"Could not connect to AmazonBedrock API.\\\") from e\\n return output\\n\",\"password\":false,\"name\":\"code\",\"advanced\":false,\"type\":\"code\",\"list\":false},\"_type\":\"CustomComponent\",\"credentials_profile_name\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"password\":false,\"name\":\"credentials_profile_name\",\"display_name\":\"Credentials Profile Name\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"str\",\"list\":false},\"endpoint_url\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"password\":false,\"name\":\"endpoint_url\",\"display_name\":\"Bedrock Endpoint URL\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"str\",\"list\":false},\"model_id\":{\"required\":true,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"value\":\"amazon.titan-embed-text-v1\",\"password\":false,\"options\":[\"amazon.titan-embed-text-v1\"],\"name\":\"model_id\",\"display_name\":\"Model Id\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"str\",\"list\":true},\"region_name\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"password\":false,\"name\":\"region_name\",\"display_name\":\"AWS Region\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"str\",\"list\":false}},\"description\":\"Embeddings model from Amazon Bedrock.\",\"base_classes\":[\"Embeddings\"],\"display_name\":\"Amazon Bedrock Embeddings\",\"custom_fields\":{\"credentials_profile_name\":null,\"endpoint_url\":null,\"model_id\":null,\"region_name\":null},\"output_types\":[\"AmazonBedrockEmbeddings\"],\"documentation\":\"https://python.langchain.com/docs/modules/data_connection/text_embedding/integrations/bedrock\",\"beta\":true,\"error\":null,\"official\":false},\"id\":\"AmazonBedrockEmbeddings-Bs5PG\"},\"id\":\"AmazonBedrockEmbeddings-Bs5PG\",\"position\":{\"x\":0,\"y\":0},\"type\":\"genericNode\"}],\"viewport\":{\"x\":1,\"y\":1,\"zoom\":1}},\"is_component\":true,\"updated_at\":\"2023-12-09T14:05:50.570800\",\"folder\":null,\"id\":\"53ad1fe2-f3af-4354-86e0-eb141ce12859\",\"user_id\":\"d253bfba-6368-44dc-85f7-0d6da9e45968\"},{\"name\":\"Amazon Bedrock Embeddings (2)\",\"description\":\"Embeddings model from Amazon Bedrock.\",\"data\":{\"edges\":[],\"nodes\":[{\"data\":{\"type\":\"AmazonBedrockEmbeddings\",\"node\":{\"template\":{\"code\":{\"dynamic\":true,\"required\":true,\"placeholder\":\"\",\"show\":false,\"multiline\":true,\"value\":\"from typing import Optional\\n\\nfrom langchain.embeddings import BedrockEmbeddings\\nfrom langchain.embeddings.base import Embeddings\\nfrom langflow import CustomComponent\\n\\n\\nclass AmazonBedrockEmeddingsComponent(CustomComponent):\\n \\\"\\\"\\\"\\n A custom component for implementing an Embeddings Model using Amazon Bedrock.\\n \\\"\\\"\\\"\\n\\n display_name: str = \\\"Amazon Bedrock Embeddings\\\"\\n description: str = \\\"Embeddings model from Amazon Bedrock.\\\"\\n documentation = \\\"https://python.langchain.com/docs/modules/data_connection/text_embedding/integrations/bedrock\\\"\\n beta = True\\n\\n def build_config(self):\\n return {\\n \\\"model_id\\\": {\\n \\\"display_name\\\": \\\"Model Id\\\",\\n \\\"options\\\": [\\\"amazon.titan-embed-text-v1\\\"],\\n },\\n \\\"credentials_profile_name\\\": {\\\"display_name\\\": \\\"Credentials Profile Name\\\"},\\n \\\"endpoint_url\\\": {\\\"display_name\\\": \\\"Bedrock Endpoint URL\\\"},\\n \\\"region_name\\\": {\\\"display_name\\\": \\\"AWS Region\\\"},\\n \\\"code\\\": {\\\"show\\\": False},\\n }\\n\\n def build(\\n self,\\n model_id: str = \\\"amazon.titan-embed-text-v1\\\",\\n credentials_profile_name: Optional[str] = None,\\n endpoint_url: Optional[str] = None,\\n region_name: Optional[str] = None,\\n ) -> Embeddings:\\n try:\\n output = BedrockEmbeddings(\\n credentials_profile_name=credentials_profile_name,\\n model_id=model_id,\\n endpoint_url=endpoint_url,\\n region_name=region_name,\\n ) # type: ignore\\n except Exception as e:\\n raise ValueError(\\\"Could not connect to AmazonBedrock API.\\\") from e\\n return output\\n\",\"password\":false,\"name\":\"code\",\"advanced\":false,\"type\":\"code\",\"list\":false},\"_type\":\"CustomComponent\",\"credentials_profile_name\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"password\":false,\"name\":\"credentials_profile_name\",\"display_name\":\"Credentials Profile Name\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"str\",\"list\":false},\"endpoint_url\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"password\":false,\"name\":\"endpoint_url\",\"display_name\":\"Bedrock Endpoint URL\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"str\",\"list\":false},\"model_id\":{\"required\":true,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"value\":\"amazon.titan-embed-text-v1\",\"password\":false,\"options\":[\"amazon.titan-embed-text-v1\"],\"name\":\"model_id\",\"display_name\":\"Model Id\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"str\",\"list\":true},\"region_name\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"password\":false,\"name\":\"region_name\",\"display_name\":\"AWS Region\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"str\",\"list\":false}},\"description\":\"Embeddings model from Amazon Bedrock.\",\"base_classes\":[\"Embeddings\"],\"display_name\":\"Amazon Bedrock Embeddings\",\"custom_fields\":{\"credentials_profile_name\":null,\"endpoint_url\":null,\"model_id\":null,\"region_name\":null},\"output_types\":[\"AmazonBedrockEmbeddings\"],\"documentation\":\"https://python.langchain.com/docs/modules/data_connection/text_embedding/integrations/bedrock\",\"beta\":true,\"error\":null,\"official\":false},\"id\":\"AmazonBedrockEmbeddings-zSZ4t\"},\"id\":\"AmazonBedrockEmbeddings-zSZ4t\",\"position\":{\"x\":0,\"y\":0},\"type\":\"genericNode\"}],\"viewport\":{\"x\":1,\"y\":1,\"zoom\":1}},\"is_component\":true,\"updated_at\":\"2023-12-09T14:06:11.415088\",\"folder\":null,\"id\":\"e9ed1c90-146e-452d-8ccd-ebf2e0da4331\",\"user_id\":\"d253bfba-6368-44dc-85f7-0d6da9e45968\"},{\"name\":\"Amazon Bedrock Embeddings (3)\",\"description\":\"Embeddings model from Amazon Bedrock.\",\"data\":{\"edges\":[],\"nodes\":[{\"data\":{\"type\":\"AmazonBedrockEmbeddings\",\"node\":{\"template\":{\"code\":{\"dynamic\":true,\"required\":true,\"placeholder\":\"\",\"show\":false,\"multiline\":true,\"value\":\"from typing import Optional\\n\\nfrom langchain.embeddings import BedrockEmbeddings\\nfrom langchain.embeddings.base import Embeddings\\nfrom langflow import CustomComponent\\n\\n\\nclass AmazonBedrockEmeddingsComponent(CustomComponent):\\n \\\"\\\"\\\"\\n A custom component for implementing an Embeddings Model using Amazon Bedrock.\\n \\\"\\\"\\\"\\n\\n display_name: str = \\\"Amazon Bedrock Embeddings\\\"\\n description: str = \\\"Embeddings model from Amazon Bedrock.\\\"\\n documentation = \\\"https://python.langchain.com/docs/modules/data_connection/text_embedding/integrations/bedrock\\\"\\n beta = True\\n\\n def build_config(self):\\n return {\\n \\\"model_id\\\": {\\n \\\"display_name\\\": \\\"Model Id\\\",\\n \\\"options\\\": [\\\"amazon.titan-embed-text-v1\\\"],\\n },\\n \\\"credentials_profile_name\\\": {\\\"display_name\\\": \\\"Credentials Profile Name\\\"},\\n \\\"endpoint_url\\\": {\\\"display_name\\\": \\\"Bedrock Endpoint URL\\\"},\\n \\\"region_name\\\": {\\\"display_name\\\": \\\"AWS Region\\\"},\\n \\\"code\\\": {\\\"show\\\": False},\\n }\\n\\n def build(\\n self,\\n model_id: str = \\\"amazon.titan-embed-text-v1\\\",\\n credentials_profile_name: Optional[str] = None,\\n endpoint_url: Optional[str] = None,\\n region_name: Optional[str] = None,\\n ) -> Embeddings:\\n try:\\n output = BedrockEmbeddings(\\n credentials_profile_name=credentials_profile_name,\\n model_id=model_id,\\n endpoint_url=endpoint_url,\\n region_name=region_name,\\n ) # type: ignore\\n except Exception as e:\\n raise ValueError(\\\"Could not connect to AmazonBedrock API.\\\") from e\\n return output\\n\",\"password\":false,\"name\":\"code\",\"advanced\":false,\"type\":\"code\",\"list\":false},\"_type\":\"CustomComponent\",\"credentials_profile_name\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"password\":false,\"name\":\"credentials_profile_name\",\"display_name\":\"Credentials Profile Name\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"str\",\"list\":false},\"endpoint_url\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"password\":false,\"name\":\"endpoint_url\",\"display_name\":\"Bedrock Endpoint URL\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"str\",\"list\":false},\"model_id\":{\"required\":true,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"value\":\"amazon.titan-embed-text-v1\",\"password\":false,\"options\":[\"amazon.titan-embed-text-v1\"],\"name\":\"model_id\",\"display_name\":\"Model Id\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"str\",\"list\":true},\"region_name\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"password\":false,\"name\":\"region_name\",\"display_name\":\"AWS Region\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"str\",\"list\":false}},\"description\":\"Embeddings model from Amazon Bedrock.\",\"base_classes\":[\"Embeddings\"],\"display_name\":\"Amazon Bedrock Embeddings\",\"custom_fields\":{\"credentials_profile_name\":null,\"endpoint_url\":null,\"model_id\":null,\"region_name\":null},\"output_types\":[\"AmazonBedrockEmbeddings\"],\"documentation\":\"https://python.langchain.com/docs/modules/data_connection/text_embedding/integrations/bedrock\",\"beta\":true,\"error\":null,\"official\":false},\"id\":\"AmazonBedrockEmbeddings-Bxhlt\"},\"id\":\"AmazonBedrockEmbeddings-Bxhlt\",\"position\":{\"x\":0,\"y\":0},\"type\":\"genericNode\"}],\"viewport\":{\"x\":1,\"y\":1,\"zoom\":1}},\"is_component\":true,\"updated_at\":\"2023-12-09T14:07:06.411108\",\"folder\":null,\"id\":\"83783c57-64e3-41a6-aa7e-ed82f80f1e53\",\"user_id\":\"d253bfba-6368-44dc-85f7-0d6da9e45968\"},{\"name\":\"CSVLoader (6)\",\"description\":\"Load a `CSV` file into a list of Documents.\",\"data\":{\"edges\":[],\"nodes\":[{\"data\":{\"type\":\"CSVLoader\",\"node\":{\"template\":{\"file_path\":{\"required\":true,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"value\":\"\",\"password\":false,\"name\":\"file_path\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"file\",\"list\":false,\"fileTypes\":[\".csv\"],\"file_path\":null},\"metadata\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"value\":[{\"z2b\":\"z9\"}],\"password\":false,\"name\":\"metadata\",\"display_name\":\"Metadata\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"dict\",\"list\":false},\"_type\":\"CSVLoader\"},\"description\":\"Load a `CSV` file into a list of Documents.\",\"base_classes\":[\"Document\"],\"display_name\":\"CSVLoader\",\"custom_fields\":{},\"output_types\":[\"Document\"],\"documentation\":\"https://python.langchain.com/docs/modules/data_connection/document_loaders/integrations/csv\",\"beta\":false,\"error\":null,\"official\":false},\"id\":\"CSVLoader-2pn2o\"},\"id\":\"CSVLoader-2pn2o\",\"position\":{\"x\":0,\"y\":0},\"type\":\"genericNode\"}],\"viewport\":{\"x\":1,\"y\":1,\"zoom\":1}},\"is_component\":true,\"updated_at\":\"2023-12-09T14:38:30.706258\",\"folder\":null,\"id\":\"c4ae9de6-9df3-4d3c-afc9-1752af4fecd7\",\"user_id\":\"d253bfba-6368-44dc-85f7-0d6da9e45968\"},{\"name\":\"Agent Initializer\",\"description\":\"Initialize a Langchain Agent.\",\"data\":{\"edges\":[],\"nodes\":[{\"data\":{\"type\":\"AgentInitializer\",\"node\":{\"template\":{\"code\":{\"dynamic\":true,\"required\":true,\"placeholder\":\"\",\"show\":true,\"multiline\":true,\"value\":\"from typing import Callable, List, Union\\n\\nfrom langchain.agents import AgentExecutor, AgentType, initialize_agent, types\\n\\nfrom langflow import CustomComponent\\nfrom langflow.field_typing import BaseChatMemory, BaseLanguageModel, Tool\\n\\n\\nclass AgentInitializerComponent(CustomComponent):\\n display_name: str = \\\"Agent Initializer\\\"\\n description: str = \\\"Initialize a Langchain Agent.\\\"\\n documentation: str = \\\"https://python.langchain.com/docs/modules/agents/agent_types/\\\"\\n\\n def build_config(self):\\n agents = list(types.AGENT_TO_CLASS.keys())\\n # field_type and required are optional\\n return {\\n \\\"agent\\\": {\\\"options\\\": agents, \\\"value\\\": agents[0], \\\"display_name\\\": \\\"Agent Type\\\"},\\n \\\"max_iterations\\\": {\\\"display_name\\\": \\\"Max Iterations\\\", \\\"value\\\": 10},\\n \\\"memory\\\": {\\\"display_name\\\": \\\"Memory\\\"},\\n \\\"tools\\\": {\\\"display_name\\\": \\\"Tools\\\"},\\n \\\"llm\\\": {\\\"display_name\\\": \\\"Language Model\\\"},\\n }\\n\\n def build(\\n self, agent: str, llm: BaseLanguageModel, memory: BaseChatMemory, tools: List[Tool], max_iterations: int\\n ) -> Union[AgentExecutor, Callable]:\\n agent = AgentType(agent)\\n return initialize_agent(\\n tools=tools,\\n llm=llm,\\n agent=agent,\\n memory=memory,\\n return_intermediate_steps=True,\\n handle_parsing_errors=True,\\n max_iterations=max_iterations,\\n )\\n\",\"password\":false,\"name\":\"code\",\"advanced\":false,\"type\":\"code\",\"list\":false},\"_type\":\"CustomComponent\",\"agent\":{\"required\":true,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"value\":\"zero-shot-react-description\",\"password\":false,\"options\":[\"zero-shot-react-description\",\"react-docstore\",\"self-ask-with-search\",\"conversational-react-description\",\"chat-zero-shot-react-description\",\"chat-conversational-react-description\",\"structured-chat-zero-shot-react-description\",\"openai-functions\",\"openai-multi-functions\",\"JsonAgent\",\"CSVAgent\",\"AgentInitializer\",\"VectorStoreAgent\",\"VectorStoreRouterAgent\",\"SQLAgent\"],\"name\":\"agent\",\"display_name\":\"Agent Type\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"str\",\"list\":true},\"llm\":{\"required\":true,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"password\":false,\"name\":\"llm\",\"display_name\":\"Language Model\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"BaseLanguageModel\",\"list\":false},\"max_iterations\":{\"required\":true,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"value\":10,\"password\":false,\"name\":\"max_iterations\",\"display_name\":\"Max Iterations\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"int\",\"list\":false},\"memory\":{\"required\":true,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"password\":false,\"name\":\"memory\",\"display_name\":\"Memory\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"BaseChatMemory\",\"list\":false},\"tools\":{\"required\":true,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"password\":false,\"name\":\"tools\",\"display_name\":\"Tools\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"Tool\",\"list\":true}},\"description\":\"Initialize a Langchain Agent.\",\"base_classes\":[\"Chain\",\"AgentExecutor\",\"Callable\"],\"display_name\":\"Agent Initializer\",\"custom_fields\":{\"agent\":null,\"llm\":null,\"max_iterations\":null,\"memory\":null,\"tools\":null},\"output_types\":[\"AgentInitializer\"],\"documentation\":\"https://python.langchain.com/docs/modules/agents/agent_types/\",\"beta\":true,\"error\":null,\"official\":false},\"id\":\"AgentInitializer-MJrAC\"},\"id\":\"AgentInitializer-MJrAC\",\"position\":{\"x\":0,\"y\":0},\"type\":\"genericNode\"}],\"viewport\":{\"x\":1,\"y\":1,\"zoom\":1}},\"is_component\":true,\"updated_at\":\"2023-12-09T14:42:54.715163\",\"folder\":null,\"id\":\"ff84b5f9-5680-4084-a9f1-7d94fe675486\",\"user_id\":\"d253bfba-6368-44dc-85f7-0d6da9e45968\"},{\"name\":\"Agent Initializer (1)\",\"description\":\"Initialize a Langchain Agent.\",\"data\":{\"edges\":[],\"nodes\":[{\"data\":{\"type\":\"AgentInitializer\",\"node\":{\"template\":{\"code\":{\"dynamic\":true,\"required\":true,\"placeholder\":\"\",\"show\":true,\"multiline\":true,\"value\":\"from typing import Callable, List, Union\\n\\nfrom langchain.agents import AgentExecutor, AgentType, initialize_agent, types\\n\\nfrom langflow import CustomComponent\\nfrom langflow.field_typing import BaseChatMemory, BaseLanguageModel, Tool\\n\\n\\nclass AgentInitializerComponent(CustomComponent):\\n display_name: str = \\\"Agent Initializer\\\"\\n description: str = \\\"Initialize a Langchain Agent.\\\"\\n documentation: str = \\\"https://python.langchain.com/docs/modules/agents/agent_types/\\\"\\n\\n def build_config(self):\\n agents = list(types.AGENT_TO_CLASS.keys())\\n # field_type and required are optional\\n return {\\n \\\"agent\\\": {\\\"options\\\": agents, \\\"value\\\": agents[0], \\\"display_name\\\": \\\"Agent Type\\\"},\\n \\\"max_iterations\\\": {\\\"display_name\\\": \\\"Max Iterations\\\", \\\"value\\\": 10},\\n \\\"memory\\\": {\\\"display_name\\\": \\\"Memory\\\"},\\n \\\"tools\\\": {\\\"display_name\\\": \\\"Tools\\\"},\\n \\\"llm\\\": {\\\"display_name\\\": \\\"Language Model\\\"},\\n }\\n\\n def build(\\n self, agent: str, llm: BaseLanguageModel, memory: BaseChatMemory, tools: List[Tool], max_iterations: int\\n ) -> Union[AgentExecutor, Callable]:\\n agent = AgentType(agent)\\n return initialize_agent(\\n tools=tools,\\n llm=llm,\\n agent=agent,\\n memory=memory,\\n return_intermediate_steps=True,\\n handle_parsing_errors=True,\\n max_iterations=max_iterations,\\n )\\n\",\"password\":false,\"name\":\"code\",\"advanced\":false,\"type\":\"code\",\"list\":false},\"_type\":\"CustomComponent\",\"agent\":{\"required\":true,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"value\":\"zero-shot-react-description\",\"password\":false,\"options\":[\"zero-shot-react-description\",\"react-docstore\",\"self-ask-with-search\",\"conversational-react-description\",\"chat-zero-shot-react-description\",\"chat-conversational-react-description\",\"structured-chat-zero-shot-react-description\",\"openai-functions\",\"openai-multi-functions\",\"JsonAgent\",\"CSVAgent\",\"AgentInitializer\",\"VectorStoreAgent\",\"VectorStoreRouterAgent\",\"SQLAgent\"],\"name\":\"agent\",\"display_name\":\"Agent Type\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"str\",\"list\":true},\"llm\":{\"required\":true,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"password\":false,\"name\":\"llm\",\"display_name\":\"Language Model\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"BaseLanguageModel\",\"list\":false},\"max_iterations\":{\"required\":true,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"value\":10,\"password\":false,\"name\":\"max_iterations\",\"display_name\":\"Max Iterations\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"int\",\"list\":false},\"memory\":{\"required\":true,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"password\":false,\"name\":\"memory\",\"display_name\":\"Memory\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"BaseChatMemory\",\"list\":false},\"tools\":{\"required\":true,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"password\":false,\"name\":\"tools\",\"display_name\":\"Tools\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"Tool\",\"list\":true}},\"description\":\"Initialize a Langchain Agent.\",\"base_classes\":[\"Chain\",\"AgentExecutor\",\"Callable\"],\"display_name\":\"Agent Initializer\",\"custom_fields\":{\"agent\":null,\"llm\":null,\"max_iterations\":null,\"memory\":null,\"tools\":null},\"output_types\":[\"AgentInitializer\"],\"documentation\":\"https://python.langchain.com/docs/modules/agents/agent_types/\",\"beta\":true,\"error\":null,\"official\":false},\"id\":\"AgentInitializer-3lcZ4\"},\"id\":\"AgentInitializer-3lcZ4\",\"position\":{\"x\":0,\"y\":0},\"type\":\"genericNode\"}],\"viewport\":{\"x\":1,\"y\":1,\"zoom\":1}},\"is_component\":true,\"updated_at\":\"2023-12-09T14:43:20.819934\",\"folder\":null,\"id\":\"97f5db9f-d6cc-4555-88fb-3be102c67814\",\"user_id\":\"d253bfba-6368-44dc-85f7-0d6da9e45968\"},{\"name\":\"Exuberant Banach\",\"description\":\"Unfolding Linguistic Possibilities.\",\"data\":{\"nodes\":[],\"edges\":[],\"viewport\":{\"zoom\":1,\"x\":0,\"y\":0}},\"is_component\":false,\"updated_at\":\"2023-12-09T14:52:49.951416\",\"folder\":null,\"id\":\"a600acd1-213a-4ce7-8648-ab2ee59f5918\",\"user_id\":\"d253bfba-6368-44dc-85f7-0d6da9e45968\"},{\"name\":\"AirbyteJSONLoader (3)\",\"description\":\"Load local `Airbyte` json files.\",\"data\":{\"edges\":[],\"nodes\":[{\"data\":{\"type\":\"AirbyteJSONLoader\",\"node\":{\"template\":{\"file_path\":{\"required\":true,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"value\":\"\",\"password\":false,\"name\":\"file_path\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"file\",\"list\":false,\"fileTypes\":[\".json\"],\"file_path\":null},\"metadata\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"value\":[{\"\":\"\"}],\"password\":false,\"name\":\"metadata\",\"display_name\":\"Metadata\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"dict\",\"list\":false},\"_type\":\"AirbyteJSONLoader\"},\"description\":\"Load local `Airbyte` json files.\",\"base_classes\":[\"Document\"],\"display_name\":\"AirbyteJSONLoader\",\"custom_fields\":{},\"output_types\":[\"Document\"],\"documentation\":\"https://python.langchain.com/docs/modules/data_connection/document_loaders/integrations/airbyte_json\",\"beta\":false,\"error\":null,\"official\":false},\"id\":\"AirbyteJSONLoader-JhQtx\"},\"id\":\"AirbyteJSONLoader-JhQtx\",\"position\":{\"x\":0,\"y\":0},\"type\":\"genericNode\"}],\"viewport\":{\"x\":1,\"y\":1,\"zoom\":1}},\"is_component\":true,\"updated_at\":\"2023-12-09T14:44:49.587337\",\"folder\":null,\"id\":\"07c52ad7-ca52-4cdd-ab40-74a91dbad0dd\",\"user_id\":\"d253bfba-6368-44dc-85f7-0d6da9e45968\"},{\"name\":\"AirbyteJSONLoader (4)\",\"description\":\"Load local `Airbyte` json files.\",\"data\":{\"edges\":[],\"nodes\":[{\"data\":{\"type\":\"AirbyteJSONLoader\",\"node\":{\"template\":{\"file_path\":{\"required\":true,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"value\":\"\",\"password\":false,\"name\":\"file_path\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"file\",\"list\":false,\"fileTypes\":[\".json\"],\"file_path\":null},\"metadata\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"value\":[{\"\":\"\"}],\"password\":false,\"name\":\"metadata\",\"display_name\":\"Metadata\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"dict\",\"list\":false},\"_type\":\"AirbyteJSONLoader\"},\"description\":\"Load local `Airbyte` json files.\",\"base_classes\":[\"Document\"],\"display_name\":\"AirbyteJSONLoader\",\"custom_fields\":{},\"output_types\":[\"Document\"],\"documentation\":\"https://python.langchain.com/docs/modules/data_connection/document_loaders/integrations/airbyte_json\",\"beta\":false,\"error\":null,\"official\":false},\"id\":\"AirbyteJSONLoader-bIvDc\"},\"id\":\"AirbyteJSONLoader-bIvDc\",\"position\":{\"x\":0,\"y\":0},\"type\":\"genericNode\"}],\"viewport\":{\"x\":1,\"y\":1,\"zoom\":1}},\"is_component\":true,\"updated_at\":\"2023-12-09T14:45:13.458500\",\"folder\":null,\"id\":\"53e4d256-3653-444b-b8e0-fb97b3ae5c7e\",\"user_id\":\"d253bfba-6368-44dc-85f7-0d6da9e45968\"},{\"name\":\"AirbyteJSONLoader (5)\",\"description\":\"Load local `Airbyte` json files.\",\"data\":{\"edges\":[],\"nodes\":[{\"data\":{\"type\":\"AirbyteJSONLoader\",\"node\":{\"template\":{\"file_path\":{\"required\":true,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"value\":\"\",\"password\":false,\"name\":\"file_path\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"file\",\"list\":false,\"fileTypes\":[\".json\"],\"file_path\":null},\"metadata\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"value\":[{\"\":\"\"}],\"password\":false,\"name\":\"metadata\",\"display_name\":\"Metadata\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"dict\",\"list\":false},\"_type\":\"AirbyteJSONLoader\"},\"description\":\"Load local `Airbyte` json files.\",\"base_classes\":[\"Document\"],\"display_name\":\"AirbyteJSONLoader\",\"custom_fields\":{},\"output_types\":[\"Document\"],\"documentation\":\"https://python.langchain.com/docs/modules/data_connection/document_loaders/integrations/airbyte_json\",\"beta\":false,\"error\":null,\"official\":false},\"id\":\"AirbyteJSONLoader-2BLS8\"},\"id\":\"AirbyteJSONLoader-2BLS8\",\"position\":{\"x\":0,\"y\":0},\"type\":\"genericNode\"}],\"viewport\":{\"x\":1,\"y\":1,\"zoom\":1}},\"is_component\":true,\"updated_at\":\"2023-12-09T14:45:44.461699\",\"folder\":null,\"id\":\"b5158cc1-c6b8-4e25-907a-bc7e7637aa38\",\"user_id\":\"d253bfba-6368-44dc-85f7-0d6da9e45968\"},{\"name\":\"Amazon Bedrock Embeddings (4)\",\"description\":\"Embeddings model from Amazon Bedrock.\",\"data\":{\"edges\":[],\"nodes\":[{\"data\":{\"type\":\"AmazonBedrockEmbeddings\",\"node\":{\"template\":{\"code\":{\"dynamic\":true,\"required\":true,\"placeholder\":\"\",\"show\":false,\"multiline\":true,\"value\":\"from typing import Optional\\n\\nfrom langchain.embeddings import BedrockEmbeddings\\nfrom langchain.embeddings.base import Embeddings\\nfrom langflow import CustomComponent\\n\\n\\nclass AmazonBedrockEmeddingsComponent(CustomComponent):\\n \\\"\\\"\\\"\\n A custom component for implementing an Embeddings Model using Amazon Bedrock.\\n \\\"\\\"\\\"\\n\\n display_name: str = \\\"Amazon Bedrock Embeddings\\\"\\n description: str = \\\"Embeddings model from Amazon Bedrock.\\\"\\n documentation = \\\"https://python.langchain.com/docs/modules/data_connection/text_embedding/integrations/bedrock\\\"\\n beta = True\\n\\n def build_config(self):\\n return {\\n \\\"model_id\\\": {\\n \\\"display_name\\\": \\\"Model Id\\\",\\n \\\"options\\\": [\\\"amazon.titan-embed-text-v1\\\"],\\n },\\n \\\"credentials_profile_name\\\": {\\\"display_name\\\": \\\"Credentials Profile Name\\\"},\\n \\\"endpoint_url\\\": {\\\"display_name\\\": \\\"Bedrock Endpoint URL\\\"},\\n \\\"region_name\\\": {\\\"display_name\\\": \\\"AWS Region\\\"},\\n \\\"code\\\": {\\\"show\\\": False},\\n }\\n\\n def build(\\n self,\\n model_id: str = \\\"amazon.titan-embed-text-v1\\\",\\n credentials_profile_name: Optional[str] = None,\\n endpoint_url: Optional[str] = None,\\n region_name: Optional[str] = None,\\n ) -> Embeddings:\\n try:\\n output = BedrockEmbeddings(\\n credentials_profile_name=credentials_profile_name,\\n model_id=model_id,\\n endpoint_url=endpoint_url,\\n region_name=region_name,\\n ) # type: ignore\\n except Exception as e:\\n raise ValueError(\\\"Could not connect to AmazonBedrock API.\\\") from e\\n return output\\n\",\"password\":false,\"name\":\"code\",\"advanced\":false,\"type\":\"code\",\"list\":false},\"_type\":\"CustomComponent\",\"credentials_profile_name\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"password\":false,\"name\":\"credentials_profile_name\",\"display_name\":\"Credentials Profile Name\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"str\",\"list\":false},\"endpoint_url\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"password\":false,\"name\":\"endpoint_url\",\"display_name\":\"Bedrock Endpoint URL\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"str\",\"list\":false},\"model_id\":{\"required\":true,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"value\":\"amazon.titan-embed-text-v1\",\"password\":false,\"options\":[\"amazon.titan-embed-text-v1\"],\"name\":\"model_id\",\"display_name\":\"Model Id\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"str\",\"list\":true},\"region_name\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"password\":false,\"name\":\"region_name\",\"display_name\":\"AWS Region\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"str\",\"list\":false}},\"description\":\"Embeddings model from Amazon Bedrock.\",\"base_classes\":[\"Embeddings\"],\"display_name\":\"Amazon Bedrock Embeddings\",\"custom_fields\":{\"credentials_profile_name\":null,\"endpoint_url\":null,\"model_id\":null,\"region_name\":null},\"output_types\":[\"AmazonBedrockEmbeddings\"],\"documentation\":\"https://python.langchain.com/docs/modules/data_connection/text_embedding/integrations/bedrock\",\"beta\":true,\"error\":null,\"official\":false},\"id\":\"AmazonBedrockEmbeddings-NsBzN\"},\"id\":\"AmazonBedrockEmbeddings-NsBzN\",\"position\":{\"x\":0,\"y\":0},\"type\":\"genericNode\"}],\"viewport\":{\"x\":1,\"y\":1,\"zoom\":1}},\"is_component\":true,\"updated_at\":\"2023-12-09T14:50:29.791575\",\"folder\":null,\"id\":\"3fb77f72-1be7-4ce0-ae89-a82b0eee9acf\",\"user_id\":\"d253bfba-6368-44dc-85f7-0d6da9e45968\"},{\"name\":\"Evil Golick\",\"description\":\"Where Language Meets Logic.\",\"data\":{\"nodes\":[],\"edges\":[],\"viewport\":{\"zoom\":1,\"x\":0,\"y\":0}},\"is_component\":false,\"updated_at\":\"2023-12-11T18:19:02.707854\",\"folder\":null,\"id\":\"9c5d21c2-ea82-4cf4-a591-c3d3fd3f13e6\",\"user_id\":\"d253bfba-6368-44dc-85f7-0d6da9e45968\"},{\"name\":\"Gleeful Davinci (1)\",\"description\":\"Unleashing Linguistic Creativity.\",\"data\":{\"nodes\":[],\"edges\":[],\"viewport\":{\"zoom\":1,\"x\":0,\"y\":0}},\"is_component\":false,\"updated_at\":\"2023-12-11T18:19:02.761150\",\"folder\":null,\"id\":\"f8e2e16e-129c-4116-9626-2c6b524d97b7\",\"user_id\":\"d253bfba-6368-44dc-85f7-0d6da9e45968\"},{\"name\":\"Effervescent Degrasse\",\"description\":\"Language Models, Mapped and Mastered.\",\"data\":{\"nodes\":[],\"edges\":[],\"viewport\":{\"zoom\":1,\"x\":0,\"y\":0}},\"is_component\":false,\"updated_at\":\"2023-12-11T18:19:02.764440\",\"folder\":null,\"id\":\"d7f4f7b5-effe-4834-8cab-4f2fc4f6e9de\",\"user_id\":\"d253bfba-6368-44dc-85f7-0d6da9e45968\"},{\"name\":\"Prickly Archimedes\",\"description\":\"Language Chainlink Master.\",\"data\":{\"nodes\":[],\"edges\":[],\"viewport\":{\"zoom\":1,\"x\":0,\"y\":0}},\"is_component\":false,\"updated_at\":\"2023-12-11T18:19:02.767546\",\"folder\":null,\"id\":\"2265d813-4a87-410f-b06a-65e35db8219e\",\"user_id\":\"d253bfba-6368-44dc-85f7-0d6da9e45968\"},{\"name\":\"Boring Heyrovsky\",\"description\":\"Building Intelligent Interactions.\",\"data\":{\"nodes\":[],\"edges\":[],\"viewport\":{\"zoom\":1,\"x\":0,\"y\":0}},\"is_component\":false,\"updated_at\":\"2023-12-11T18:19:02.765105\",\"folder\":null,\"id\":\"10bfd881-e67e-4c33-965d-ee041695edce\",\"user_id\":\"d253bfba-6368-44dc-85f7-0d6da9e45968\"},{\"name\":\"Nostalgic Carroll\",\"description\":\"Unfolding Linguistic Possibilities.\",\"data\":{\"nodes\":[],\"edges\":[],\"viewport\":{\"zoom\":1,\"x\":0,\"y\":0}},\"is_component\":false,\"updated_at\":\"2023-12-11T18:19:02.811794\",\"folder\":null,\"id\":\"63fa5653-4513-47f2-8dfa-baeb1d981f93\",\"user_id\":\"d253bfba-6368-44dc-85f7-0d6da9e45968\"},{\"name\":\"Pensive Perlman\",\"description\":\"Empowering Communication, Enabling Opportunities.\",\"data\":{\"nodes\":[],\"edges\":[],\"viewport\":{\"zoom\":1,\"x\":0,\"y\":0}},\"is_component\":false,\"updated_at\":\"2023-12-11T18:19:02.814993\",\"folder\":null,\"id\":\"f4bc5945-20d9-4703-a5bb-6a4a3ef7fc8e\",\"user_id\":\"d253bfba-6368-44dc-85f7-0d6da9e45968\"},{\"name\":\"Hilarious Stallman\",\"description\":\"Connect the Dots, Craft Language.\",\"data\":{\"nodes\":[],\"edges\":[],\"viewport\":{\"zoom\":1,\"x\":0,\"y\":0}},\"is_component\":false,\"updated_at\":\"2023-12-11T18:19:02.813144\",\"folder\":null,\"id\":\"8d8b80f9-4b74-4cd5-bc5c-08a32c4d2b95\",\"user_id\":\"d253bfba-6368-44dc-85f7-0d6da9e45968\"},{\"name\":\"Awesome Einstein\",\"description\":\"The Power of Language at Your Fingertips.\",\"data\":{\"nodes\":[],\"edges\":[],\"viewport\":{\"zoom\":1,\"x\":0,\"y\":0}},\"is_component\":false,\"updated_at\":\"2023-12-11T18:20:19.518262\",\"folder\":null,\"id\":\"21808fd7-a492-4e29-8863-301c2785f542\",\"user_id\":\"d253bfba-6368-44dc-85f7-0d6da9e45968\"},{\"name\":\"Funky Swanson\",\"description\":\"Sculpting Language with Precision.\",\"data\":{\"nodes\":[],\"edges\":[],\"viewport\":{\"zoom\":1,\"x\":0,\"y\":0}},\"is_component\":false,\"updated_at\":\"2023-12-11T18:20:20.185637\",\"folder\":null,\"id\":\"7752299a-4aa9-44db-8d9c-5c4a2ac1b071\",\"user_id\":\"d253bfba-6368-44dc-85f7-0d6da9e45968\"},{\"name\":\"Romantic Pascal\",\"description\":\"Unlock the Power of AI in Your Business Conversations.\",\"data\":{\"nodes\":[],\"edges\":[],\"viewport\":{\"zoom\":1,\"x\":0,\"y\":0}},\"is_component\":false,\"updated_at\":\"2023-12-11T18:20:20.223064\",\"folder\":null,\"id\":\"78f48a13-6a9f-42ce-9d58-ec9b63b381d2\",\"user_id\":\"d253bfba-6368-44dc-85f7-0d6da9e45968\"},{\"name\":\"Twinkly Bartik\",\"description\":\"Sculpting Language with Precision.\",\"data\":{\"nodes\":[],\"edges\":[],\"viewport\":{\"zoom\":1,\"x\":0,\"y\":0}},\"is_component\":false,\"updated_at\":\"2023-12-11T18:20:20.239758\",\"folder\":null,\"id\":\"38074091-3d7c-4d42-b61b-ae195c1b8a4e\",\"user_id\":\"d253bfba-6368-44dc-85f7-0d6da9e45968\"},{\"name\":\"Condescending Joliot\",\"description\":\"Language Models, Unleashed.\",\"data\":{\"nodes\":[],\"edges\":[],\"viewport\":{\"zoom\":1,\"x\":0,\"y\":0}},\"is_component\":false,\"updated_at\":\"2023-12-11T18:20:20.271996\",\"folder\":null,\"id\":\"773020aa-5c2d-4632-ad9e-21276861ab93\",\"user_id\":\"d253bfba-6368-44dc-85f7-0d6da9e45968\"},{\"name\":\"Gleeful Kalam\",\"description\":\"The Power of Language at Your Fingertips.\",\"data\":{\"nodes\":[],\"edges\":[],\"viewport\":{\"zoom\":1,\"x\":0,\"y\":0}},\"is_component\":false,\"updated_at\":\"2023-12-11T18:20:20.283929\",\"folder\":null,\"id\":\"0092d077-6d31-401f-a739-b164476b90ed\",\"user_id\":\"d253bfba-6368-44dc-85f7-0d6da9e45968\"},{\"name\":\"Grinning Bhabha\",\"description\":\"Your Passport to Linguistic Landscapes.\",\"data\":{\"nodes\":[],\"edges\":[],\"viewport\":{\"zoom\":1,\"x\":0,\"y\":0}},\"is_component\":false,\"updated_at\":\"2023-12-11T18:20:20.467739\",\"folder\":null,\"id\":\"4a395211-712d-4dd2-b3bb-e6b19200f15d\",\"user_id\":\"d253bfba-6368-44dc-85f7-0d6da9e45968\"},{\"name\":\"Mirthful Babbage\",\"description\":\"Design Dialogues with Langflow.\",\"data\":{\"nodes\":[],\"edges\":[],\"viewport\":{\"zoom\":1,\"x\":0,\"y\":0}},\"is_component\":false,\"updated_at\":\"2023-12-11T18:20:20.742990\",\"folder\":null,\"id\":\"3f086a82-3e29-4328-9da8-e02dc9201744\",\"user_id\":\"d253bfba-6368-44dc-85f7-0d6da9e45968\"},{\"name\":\"Tiny Volta\",\"description\":\"Nurture NLP Nodes Here.\",\"data\":{\"nodes\":[],\"edges\":[],\"viewport\":{\"zoom\":1,\"x\":0,\"y\":0}},\"is_component\":false,\"updated_at\":\"2023-12-11T18:24:18.594247\",\"folder\":null,\"id\":\"659b8289-c8e8-413d-9b2b-51e68411f170\",\"user_id\":\"d253bfba-6368-44dc-85f7-0d6da9e45968\"},{\"name\":\"Radiant Jennings\",\"description\":\"Design, Develop, Dialogize.\",\"data\":{\"nodes\":[],\"edges\":[],\"viewport\":{\"zoom\":1,\"x\":0,\"y\":0}},\"is_component\":false,\"updated_at\":\"2023-12-11T18:24:42.640309\",\"folder\":null,\"id\":\"f55f0640-d47e-4471-b1ba-3411d38ecac5\",\"user_id\":\"d253bfba-6368-44dc-85f7-0d6da9e45968\"},{\"name\":\"Distracted Shaw\",\"description\":\"Interactive Language Weaving.\",\"data\":{\"nodes\":[],\"edges\":[],\"viewport\":{\"zoom\":1,\"x\":0,\"y\":0}},\"is_component\":false,\"updated_at\":\"2023-12-11T18:24:58.376247\",\"folder\":null,\"id\":\"a039811e-449a-4244-83ed-4ddd731a0921\",\"user_id\":\"d253bfba-6368-44dc-85f7-0d6da9e45968\"},{\"name\":\"Peppy Murdock (1)\",\"description\":\"Language Chainlink Master.\",\"data\":{\"nodes\":[],\"edges\":[],\"viewport\":{\"zoom\":1,\"x\":0,\"y\":0}},\"is_component\":false,\"updated_at\":\"2023-12-11T18:25:14.674524\",\"folder\":null,\"id\":\"0faf6144-6ca6-4f64-a343-665ae54774ef\",\"user_id\":\"d253bfba-6368-44dc-85f7-0d6da9e45968\"},{\"name\":\"Lively Volta\",\"description\":\"Language Models, Mapped and Mastered.\",\"data\":{\"nodes\":[],\"edges\":[],\"viewport\":{\"zoom\":1,\"x\":0,\"y\":0}},\"is_component\":false,\"updated_at\":\"2023-12-11T18:26:50.418029\",\"folder\":null,\"id\":\"c5d149d0-c401-4f5e-b79f-2abcc7b8d98d\",\"user_id\":\"d253bfba-6368-44dc-85f7-0d6da9e45968\"},{\"name\":\"Bubbly Curie\",\"description\":\"Navigate the Networks of Conversation.\",\"data\":{\"nodes\":[],\"edges\":[],\"viewport\":{\"zoom\":1,\"x\":0,\"y\":0}},\"is_component\":false,\"updated_at\":\"2023-12-11T18:27:10.900899\",\"folder\":null,\"id\":\"7bb2d226-9740-433d-861f-a499632c5a13\",\"user_id\":\"d253bfba-6368-44dc-85f7-0d6da9e45968\"},{\"name\":\"Radiant Nobel\",\"description\":\"Navigate the Linguistic Landscape, Discover Opportunities.\",\"data\":{\"nodes\":[],\"edges\":[],\"viewport\":{\"zoom\":1,\"x\":0,\"y\":0}},\"is_component\":false,\"updated_at\":\"2023-12-11T18:29:11.541630\",\"folder\":null,\"id\":\"947906d8-75ea-470c-a8e2-cc80c5d3bdbb\",\"user_id\":\"d253bfba-6368-44dc-85f7-0d6da9e45968\"},{\"name\":\"Cheerful Northcutt\",\"description\":\"Unleashing Business Potential through Language Engineering.\",\"data\":{\"nodes\":[],\"edges\":[],\"viewport\":{\"zoom\":1,\"x\":0,\"y\":0}},\"is_component\":false,\"updated_at\":\"2023-12-11T18:29:37.169791\",\"folder\":null,\"id\":\"56f109fd-2c18-42ed-a9b2-089a678a0c11\",\"user_id\":\"d253bfba-6368-44dc-85f7-0d6da9e45968\"},{\"name\":\"Suspicious Khayyam\",\"description\":\"Crafting Dialogues that Drive Business Success.\",\"data\":{\"nodes\":[],\"edges\":[],\"viewport\":{\"zoom\":1,\"x\":0,\"y\":0}},\"is_component\":false,\"updated_at\":\"2023-12-11T18:30:24.686359\",\"folder\":null,\"id\":\"551d7bfa-49aa-43f1-a779-e47eabc2aaf2\",\"user_id\":\"d253bfba-6368-44dc-85f7-0d6da9e45968\"},{\"name\":\"Twinkly Spence\",\"description\":\"Create, Curate, Communicate with Langflow.\",\"data\":{\"nodes\":[],\"edges\":[],\"viewport\":{\"zoom\":1,\"x\":0,\"y\":0}},\"is_component\":false,\"updated_at\":\"2023-12-11T18:30:47.738472\",\"folder\":null,\"id\":\"12aef128-130e-492e-bf84-62d4cb4cd456\",\"user_id\":\"d253bfba-6368-44dc-85f7-0d6da9e45968\"},{\"name\":\"Mirthful Lavoisier\",\"description\":\"Nurture NLP Nodes Here.\",\"data\":{\"nodes\":[],\"edges\":[],\"viewport\":{\"zoom\":1,\"x\":0,\"y\":0}},\"is_component\":false,\"updated_at\":\"2023-12-11T18:31:43.272365\",\"folder\":null,\"id\":\"9952c044-6903-4fba-a270-6ed0b90c93c9\",\"user_id\":\"d253bfba-6368-44dc-85f7-0d6da9e45968\"},{\"name\":\"Upbeat Bose\",\"description\":\"Unravel the Art of Articulation.\",\"data\":{\"nodes\":[],\"edges\":[],\"viewport\":{\"zoom\":1,\"x\":0,\"y\":0}},\"is_component\":false,\"updated_at\":\"2023-12-11T18:32:23.972035\",\"folder\":null,\"id\":\"65f49582-c9fa-4c67-a2bc-4e8fa73ca731\",\"user_id\":\"d253bfba-6368-44dc-85f7-0d6da9e45968\"},{\"name\":\"Tender Perlman\",\"description\":\"Maximize Impact with Intelligent Conversations.\",\"data\":{\"nodes\":[],\"edges\":[],\"viewport\":{\"zoom\":1,\"x\":0,\"y\":0}},\"is_component\":false,\"updated_at\":\"2023-12-11T18:33:26.984083\",\"folder\":null,\"id\":\"9ae57fe2-c677-47fa-a059-7d3d915a1178\",\"user_id\":\"d253bfba-6368-44dc-85f7-0d6da9e45968\"},{\"name\":\"Sharp Cori\",\"description\":\"Conversation Catalyst Engine.\",\"data\":{\"nodes\":[],\"edges\":[],\"viewport\":{\"zoom\":1,\"x\":0,\"y\":0}},\"is_component\":false,\"updated_at\":\"2023-12-11T18:33:52.377359\",\"folder\":null,\"id\":\"2920dde2-5c24-4fe0-9c06-ef86b5a16a99\",\"user_id\":\"d253bfba-6368-44dc-85f7-0d6da9e45968\"}]" + "text": "[{\"name\":\"Awesome Euclid\",\"description\":\"Language Models, Mapped and Mastered.\",\"data\":{\"nodes\":[{\"width\":384,\"height\":374,\"id\":\"PromptTemplate-m2yFu\",\"type\":\"genericNode\",\"position\":{\"x\":462.6456058272081,\"y\":1033.9314297130313},\"data\":{\"type\":\"PromptTemplate\",\"node\":{\"template\":{\"output_parser\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"password\":false,\"name\":\"output_parser\",\"advanced\":false,\"dynamic\":true,\"info\":\"\",\"type\":\"BaseOutputParser\",\"list\":false},\"input_types\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"password\":false,\"name\":\"input_types\",\"advanced\":false,\"dynamic\":true,\"info\":\"\",\"type\":\"dict\",\"list\":false},\"input_variables\":{\"required\":true,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"password\":false,\"name\":\"input_variables\",\"advanced\":false,\"dynamic\":true,\"info\":\"\",\"type\":\"str\",\"list\":true,\"value\":[\"transcription\"]},\"partial_variables\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"password\":false,\"name\":\"partial_variables\",\"advanced\":false,\"dynamic\":true,\"info\":\"\",\"type\":\"dict\",\"list\":false},\"template\":{\"required\":true,\"placeholder\":\"\",\"show\":true,\"multiline\":true,\"password\":false,\"name\":\"template\",\"advanced\":false,\"dynamic\":true,\"info\":\"\",\"type\":\"prompt\",\"list\":false,\"value\":\"create an image prompt based on the song's lyrics to be used as the album cover of this song:\\n\\nlyrics:\\n{transcription}\"},\"template_format\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"value\":\"f-string\",\"password\":false,\"name\":\"template_format\",\"advanced\":false,\"dynamic\":true,\"info\":\"\",\"type\":\"str\",\"list\":false},\"validate_template\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"value\":false,\"password\":false,\"name\":\"validate_template\",\"advanced\":false,\"dynamic\":true,\"info\":\"\",\"type\":\"bool\",\"list\":false},\"_type\":\"PromptTemplate\",\"transcription\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":true,\"value\":\"\",\"password\":false,\"name\":\"transcription\",\"display_name\":\"transcription\",\"advanced\":false,\"input_types\":[\"Document\",\"BaseOutputParser\"],\"dynamic\":false,\"info\":\"\",\"type\":\"str\",\"list\":false}},\"description\":\"A prompt template for a language model.\",\"base_classes\":[\"PromptTemplate\",\"StringPromptTemplate\",\"BasePromptTemplate\"],\"name\":\"\",\"display_name\":\"PromptTemplate\",\"documentation\":\"https://python.langchain.com/docs/modules/model_io/prompts/prompt_templates/\",\"custom_fields\":{\"\":[\"transcription\"],\"template\":[\"transcription\",\"question\"]},\"output_types\":[],\"full_path\":null,\"field_formatters\":{},\"beta\":false,\"error\":null},\"id\":\"PromptTemplate-m2yFu\"},\"selected\":false,\"positionAbsolute\":{\"x\":462.6456058272081,\"y\":1033.9314297130313},\"dragging\":false},{\"width\":384,\"height\":626,\"id\":\"ChatOpenAI-urapv\",\"type\":\"genericNode\",\"position\":{\"x\":189.94856095084924,\"y\":-85.06556385338186},\"data\":{\"type\":\"ChatOpenAI\",\"node\":{\"template\":{\"callbacks\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"password\":false,\"name\":\"callbacks\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"langchain_core.callbacks.base.BaseCallbackHandler\",\"list\":true},\"async_client\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"password\":false,\"name\":\"async_client\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"Any\",\"list\":false},\"cache\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"password\":false,\"name\":\"cache\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"bool\",\"list\":false},\"client\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"password\":false,\"name\":\"client\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"Any\",\"list\":false},\"default_headers\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"password\":false,\"name\":\"default_headers\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"dict\",\"list\":false},\"default_query\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"password\":false,\"name\":\"default_query\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"dict\",\"list\":false},\"http_client\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"password\":false,\"name\":\"http_client\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"Any\",\"list\":false},\"max_retries\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"value\":2,\"password\":false,\"name\":\"max_retries\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"int\",\"list\":false},\"max_tokens\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"password\":true,\"name\":\"max_tokens\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"int\",\"list\":false,\"value\":\"\"},\"metadata\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"password\":false,\"name\":\"metadata\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"dict\",\"list\":false},\"model_kwargs\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"password\":false,\"name\":\"model_kwargs\",\"advanced\":true,\"dynamic\":false,\"info\":\"\",\"type\":\"dict\",\"list\":false},\"model_name\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"value\":\"gpt-4-1106-preview\",\"password\":false,\"options\":[\"gpt-4-1106-preview\",\"gpt-4\",\"gpt-4-32k\",\"gpt-3.5-turbo\",\"gpt-3.5-turbo-16k\"],\"name\":\"model_name\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"str\",\"list\":true},\"n\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"value\":1,\"password\":false,\"name\":\"n\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"int\",\"list\":false},\"openai_api_base\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"password\":false,\"name\":\"openai_api_base\",\"display_name\":\"OpenAI API Base\",\"advanced\":false,\"dynamic\":false,\"info\":\"\\nThe base URL of the OpenAI API. Defaults to https://api.openai.com/v1.\\n\\nYou can change this to use other APIs like JinaChat, LocalAI and Prem.\\n\",\"type\":\"str\",\"list\":false},\"openai_api_key\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"value\":\"\",\"password\":true,\"name\":\"openai_api_key\",\"display_name\":\"OpenAI API Key\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"str\",\"list\":false},\"openai_organization\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"password\":false,\"name\":\"openai_organization\",\"display_name\":\"OpenAI Organization\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"str\",\"list\":false},\"openai_proxy\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"password\":false,\"name\":\"openai_proxy\",\"display_name\":\"OpenAI Proxy\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"str\",\"list\":false},\"request_timeout\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"password\":false,\"name\":\"request_timeout\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"float\",\"list\":false},\"streaming\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"value\":false,\"password\":false,\"name\":\"streaming\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"bool\",\"list\":false},\"tags\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"password\":false,\"name\":\"tags\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"str\",\"list\":true},\"temperature\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"value\":0.7,\"password\":false,\"name\":\"temperature\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"float\",\"list\":false},\"tiktoken_model_name\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"password\":false,\"name\":\"tiktoken_model_name\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"str\",\"list\":false},\"verbose\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"value\":false,\"password\":false,\"name\":\"verbose\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"bool\",\"list\":false},\"_type\":\"ChatOpenAI\"},\"description\":\"`OpenAI` Chat large language models API.\",\"base_classes\":[\"ChatOpenAI\",\"BaseChatModel\",\"BaseLanguageModel\",\"BaseLLM\"],\"display_name\":\"ChatOpenAI\",\"custom_fields\":{},\"output_types\":[],\"documentation\":\"https://python.langchain.com/docs/modules/model_io/models/chat/integrations/openai\",\"beta\":false,\"error\":null},\"id\":\"ChatOpenAI-urapv\"},\"selected\":false,\"positionAbsolute\":{\"x\":189.94856095084924,\"y\":-85.06556385338186},\"dragging\":false},{\"width\":384,\"height\":806,\"id\":\"CustomComponent-IEIUl\",\"type\":\"genericNode\",\"position\":{\"x\":2364.865919667005,\"y\":88.43094097025096},\"data\":{\"type\":\"CustomComponent\",\"node\":{\"template\":{\"code\":{\"dynamic\":true,\"required\":true,\"placeholder\":\"\",\"show\":true,\"multiline\":true,\"value\":\"from langflow import CustomComponent\\nfrom langflow.field_typing import Data\\nfrom platformdirs import user_cache_dir\\nimport base64\\nfrom PIL import Image\\nfrom io import BytesIO\\nfrom openai import OpenAI\\nfrom pathlib import Path\\n\\nclass Component(CustomComponent):\\n display_name: str = \\\"Image generator\\\"\\n description: str = \\\"generate images using Dall-E\\\"\\n documentation: str = \\\"http://docs.langflow.org/components/custom\\\"\\n\\n def build_config(self):\\n return {\\\"prompt\\\": {\\\"display_name\\\": \\\"Prompt\\\",\\\"input_types\\\":[\\\"str\\\"]},\\n \\\"api_key\\\":{\\\"display_name\\\":\\\"OpenAI API key\\\",\\\"password\\\":True},\\n \\\"model\\\":{\\\"display_name\\\":\\\"Model name\\\",\\\"advanced\\\":True,\\\"options\\\":[\\\"dall-e-2\\\",\\\"dall-e-3\\\"], \\\"value\\\":\\\"dall-e-3\\\"},\\n \\\"file_name\\\":{\\\"display_name\\\":\\\"File Name\\\"},\\n \\\"output_format\\\":{\\\"display_name\\\":\\\"Output format\\\",\\\"options\\\":[\\\"jpeg\\\",\\\"png\\\"],\\\"value\\\":\\\"jpeg\\\"},\\n \\\"width\\\":{\\\"display_name\\\":\\\"Width\\\" ,\\\"value\\\":1024},\\n \\\"height\\\":{\\\"display_name\\\":\\\"Height\\\", \\\"value\\\":1024}\\n }\\n\\n def build(self, prompt:str,api_key:str,model:str,file_name:str,output_format:str,width:int,height:int):\\n client = OpenAI(api_key=api_key)\\n cache_dir = Path(user_cache_dir(\\\"langflow\\\"))\\n images_dir = cache_dir / \\\"images\\\"\\n images_dir.mkdir(parents=True, exist_ok=True)\\n image_path = images_dir / f\\\"{file_name}.{output_format}\\\"\\n response = client.images.generate(\\n model=model,\\n prompt=prompt,\\n size=f\\\"{height}x{width}\\\",\\n response_format=\\\"b64_json\\\",\\n n=1,\\n )\\n # Decode base64-encoded image string\\n binary_data = base64.b64decode(response.data[0].b64_json)\\n # Create PIL Image object from binary image data\\n image_pil = Image.open(BytesIO(binary_data))\\n image_pil.save(image_path, format=output_format.upper())\\n return \\\"\\\"\",\"password\":false,\"name\":\"code\",\"advanced\":false,\"type\":\"code\",\"list\":false},\"_type\":\"CustomComponent\",\"api_key\":{\"required\":true,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"password\":true,\"name\":\"api_key\",\"display_name\":\"OpenAI API key\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"str\",\"list\":false,\"value\":\"\"},\"file_name\":{\"required\":true,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"password\":false,\"name\":\"file_name\",\"display_name\":\"File Name\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"str\",\"list\":false,\"value\":\"album\"},\"height\":{\"required\":true,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"value\":1024,\"password\":false,\"name\":\"height\",\"display_name\":\"Height\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"int\",\"list\":false},\"model\":{\"required\":true,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"value\":\"dall-e-3\",\"password\":false,\"options\":[\"dall-e-2\",\"dall-e-3\"],\"name\":\"model\",\"display_name\":\"Model name\",\"advanced\":true,\"dynamic\":false,\"info\":\"\",\"type\":\"str\",\"list\":true},\"output_format\":{\"required\":true,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"value\":\"jpeg\",\"password\":false,\"options\":[\"jpeg\",\"png\"],\"name\":\"output_format\",\"display_name\":\"Output format\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"str\",\"list\":true},\"prompt\":{\"required\":true,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"password\":false,\"name\":\"prompt\",\"display_name\":\"Prompt\",\"advanced\":false,\"input_types\":[\"str\"],\"dynamic\":false,\"info\":\"\",\"type\":\"str\",\"list\":false,\"value\":\"\"},\"width\":{\"required\":true,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"value\":1024,\"password\":false,\"name\":\"width\",\"display_name\":\"Width\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"int\",\"list\":false}},\"description\":\"generate images using Dall-E\",\"base_classes\":[\"Data\"],\"display_name\":\"Image generator\",\"custom_fields\":{\"api_key\":null,\"file_name\":null,\"height\":null,\"model\":null,\"output_format\":null,\"prompt\":null,\"width\":null},\"output_types\":[\"Data\"],\"documentation\":\"http://docs.langflow.org/components/custom\",\"beta\":true,\"error\":null},\"id\":\"CustomComponent-IEIUl\"},\"selected\":false,\"positionAbsolute\":{\"x\":2364.865919667005,\"y\":88.43094097025096}},{\"width\":384,\"height\":338,\"id\":\"LLMChain-KlJb3\",\"type\":\"genericNode\",\"position\":{\"x\":1242.9851164540805,\"y\":-139.74634696823108},\"data\":{\"type\":\"LLMChain\",\"node\":{\"template\":{\"code\":{\"dynamic\":true,\"required\":true,\"placeholder\":\"\",\"show\":false,\"multiline\":true,\"value\":\"from typing import Callable, Optional, Union\\n\\nfrom langchain.chains import LLMChain\\n\\nfrom langflow import CustomComponent\\nfrom langflow.field_typing import (\\n BaseLanguageModel,\\n BaseMemory,\\n BasePromptTemplate,\\n Chain,\\n)\\n\\n\\nclass LLMChainComponent(CustomComponent):\\n display_name = \\\"LLMChain\\\"\\n description = \\\"Chain to run queries against LLMs\\\"\\n\\n def build_config(self):\\n return {\\n \\\"prompt\\\": {\\\"display_name\\\": \\\"Prompt\\\"},\\n \\\"llm\\\": {\\\"display_name\\\": \\\"LLM\\\"},\\n \\\"memory\\\": {\\\"display_name\\\": \\\"Memory\\\"},\\n \\\"code\\\": {\\\"show\\\": False},\\n }\\n\\n def build(\\n self,\\n prompt: BasePromptTemplate,\\n llm: BaseLanguageModel,\\n memory: Optional[BaseMemory] = None,\\n ) -> Union[Chain, Callable]:\\n return LLMChain(prompt=prompt, llm=llm, memory=memory)\\n\",\"password\":false,\"name\":\"code\",\"advanced\":false,\"type\":\"code\",\"list\":false,\"display_name\":\"code\"},\"_type\":\"CustomComponent\",\"llm\":{\"required\":true,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"password\":false,\"name\":\"llm\",\"display_name\":\"LLM\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"BaseLanguageModel\",\"list\":false},\"memory\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"password\":false,\"name\":\"memory\",\"display_name\":\"Memory\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"BaseMemory\",\"list\":false},\"prompt\":{\"required\":true,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"password\":false,\"name\":\"prompt\",\"display_name\":\"Prompt\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"BasePromptTemplate\",\"list\":false}},\"description\":\"Chain to run queries against LLMs\",\"base_classes\":[\"Chain\",\"Callable\"],\"display_name\":\"LLMChain\",\"custom_fields\":{\"llm\":null,\"memory\":null,\"prompt\":null},\"output_types\":[\"LLMChain\"],\"documentation\":\"\",\"beta\":true,\"error\":null},\"id\":\"LLMChain-KlJb3\"},\"selected\":false,\"positionAbsolute\":{\"x\":1242.9851164540805,\"y\":-139.74634696823108},\"dragging\":false},{\"width\":384,\"height\":328,\"id\":\"CustomComponent-bCuc0\",\"type\":\"genericNode\",\"position\":{\"x\":1747.8107777342625,\"y\":319.13729017446667},\"data\":{\"type\":\"CustomComponent\",\"node\":{\"template\":{\"code\":{\"dynamic\":true,\"required\":true,\"placeholder\":\"\",\"show\":true,\"multiline\":true,\"value\":\"from langflow import CustomComponent\\nfrom langflow.field_typing import Data\\n\\n\\nclass Component(CustomComponent):\\n display_name: str = \\\"Custom Component\\\"\\n description: str = \\\"Create any custom component you want!\\\"\\n documentation: str = \\\"http://docs.langflow.org/components/custom\\\"\\n\\n def build_config(self):\\n return {\\\"param\\\": {\\\"display_name\\\": \\\"Parameter\\\"}}\\n\\n def build(self, param: Chain) -> str:\\n result = param.run({})\\n self.status = result\\n return result\\n\",\"password\":false,\"name\":\"code\",\"advanced\":false,\"type\":\"code\",\"list\":false},\"_type\":\"CustomComponent\",\"param\":{\"required\":true,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"password\":false,\"name\":\"param\",\"display_name\":\"Parameter\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"Chain\",\"list\":false}},\"description\":\"Create any custom component you want!\",\"base_classes\":[\"str\"],\"display_name\":\"Custom Component\",\"custom_fields\":{\"param\":null},\"output_types\":[\"str\"],\"documentation\":\"http://docs.langflow.org/components/custom\",\"beta\":true,\"error\":null},\"id\":\"CustomComponent-bCuc0\"},\"selected\":false,\"positionAbsolute\":{\"x\":1747.8107777342625,\"y\":319.13729017446667}}],\"edges\":[{\"source\":\"LLMChain-KlJb3\",\"target\":\"CustomComponent-bCuc0\",\"sourceHandle\":\"{œbaseClassesœ:[œChainœ,œCallableœ],œdataTypeœ:œLLMChainœ,œidœ:œLLMChain-KlJb3œ}\",\"targetHandle\":\"{œfieldNameœ:œparamœ,œidœ:œCustomComponent-bCuc0œ,œinputTypesœ:null,œtypeœ:œChainœ}\",\"id\":\"reactflow__edge-LLMChain-KlJb3{œbaseClassesœ:[œChainœ,œCallableœ],œdataTypeœ:œLLMChainœ,œidœ:œLLMChain-KlJb3œ}-CustomComponent-bCuc0{œfieldNameœ:œparamœ,œidœ:œCustomComponent-bCuc0œ,œinputTypesœ:null,œtypeœ:œChainœ}\",\"data\":{\"targetHandle\":{\"fieldName\":\"param\",\"id\":\"CustomComponent-bCuc0\",\"inputTypes\":null,\"type\":\"Chain\"},\"sourceHandle\":{\"baseClasses\":[\"Chain\",\"Callable\"],\"dataType\":\"LLMChain\",\"id\":\"LLMChain-KlJb3\"}},\"style\":{\"stroke\":\"#555\"},\"className\":\"stroke-gray-900 stroke-connection\",\"animated\":false,\"selected\":false},{\"source\":\"ChatOpenAI-urapv\",\"target\":\"LLMChain-KlJb3\",\"sourceHandle\":\"{œbaseClassesœ:[œChatOpenAIœ,œBaseChatModelœ,œBaseLanguageModelœ,œBaseLLMœ],œdataTypeœ:œChatOpenAIœ,œidœ:œChatOpenAI-urapvœ}\",\"targetHandle\":\"{œfieldNameœ:œllmœ,œidœ:œLLMChain-KlJb3œ,œinputTypesœ:null,œtypeœ:œBaseLanguageModelœ}\",\"id\":\"reactflow__edge-ChatOpenAI-urapv{œbaseClassesœ:[œChatOpenAIœ,œBaseChatModelœ,œBaseLanguageModelœ,œBaseLLMœ],œdataTypeœ:œChatOpenAIœ,œidœ:œChatOpenAI-urapvœ}-LLMChain-KlJb3{œfieldNameœ:œllmœ,œidœ:œLLMChain-KlJb3œ,œinputTypesœ:null,œtypeœ:œBaseLanguageModelœ}\",\"data\":{\"targetHandle\":{\"fieldName\":\"llm\",\"id\":\"LLMChain-KlJb3\",\"inputTypes\":null,\"type\":\"BaseLanguageModel\"},\"sourceHandle\":{\"baseClasses\":[\"ChatOpenAI\",\"BaseChatModel\",\"BaseLanguageModel\",\"BaseLLM\"],\"dataType\":\"ChatOpenAI\",\"id\":\"ChatOpenAI-urapv\"}},\"style\":{\"stroke\":\"#555\"},\"className\":\"stroke-gray-900 stroke-connection\",\"animated\":false,\"selected\":false},{\"source\":\"PromptTemplate-m2yFu\",\"target\":\"LLMChain-KlJb3\",\"sourceHandle\":\"{œbaseClassesœ:[œPromptTemplateœ,œStringPromptTemplateœ,œBasePromptTemplateœ],œdataTypeœ:œPromptTemplateœ,œidœ:œPromptTemplate-m2yFuœ}\",\"targetHandle\":\"{œfieldNameœ:œpromptœ,œidœ:œLLMChain-KlJb3œ,œinputTypesœ:null,œtypeœ:œBasePromptTemplateœ}\",\"id\":\"reactflow__edge-PromptTemplate-m2yFu{œbaseClassesœ:[œPromptTemplateœ,œStringPromptTemplateœ,œBasePromptTemplateœ],œdataTypeœ:œPromptTemplateœ,œidœ:œPromptTemplate-m2yFuœ}-LLMChain-KlJb3{œfieldNameœ:œpromptœ,œidœ:œLLMChain-KlJb3œ,œinputTypesœ:null,œtypeœ:œBasePromptTemplateœ}\",\"data\":{\"targetHandle\":{\"fieldName\":\"prompt\",\"id\":\"LLMChain-KlJb3\",\"inputTypes\":null,\"type\":\"BasePromptTemplate\"},\"sourceHandle\":{\"baseClasses\":[\"PromptTemplate\",\"StringPromptTemplate\",\"BasePromptTemplate\"],\"dataType\":\"PromptTemplate\",\"id\":\"PromptTemplate-m2yFu\"}},\"style\":{\"stroke\":\"#555\"},\"className\":\"stroke-gray-900 stroke-connection\",\"animated\":false,\"selected\":false},{\"source\":\"CustomComponent-bCuc0\",\"target\":\"CustomComponent-IEIUl\",\"sourceHandle\":\"{œbaseClassesœ:[œstrœ],œdataTypeœ:œCustomComponentœ,œidœ:œCustomComponent-bCuc0œ}\",\"targetHandle\":\"{œfieldNameœ:œpromptœ,œidœ:œCustomComponent-IEIUlœ,œinputTypesœ:[œstrœ],œtypeœ:œstrœ}\",\"id\":\"reactflow__edge-CustomComponent-bCuc0{œbaseClassesœ:[œstrœ],œdataTypeœ:œCustomComponentœ,œidœ:œCustomComponent-bCuc0œ}-CustomComponent-IEIUl{œfieldNameœ:œpromptœ,œidœ:œCustomComponent-IEIUlœ,œinputTypesœ:[œstrœ],œtypeœ:œstrœ}\",\"data\":{\"targetHandle\":{\"fieldName\":\"prompt\",\"id\":\"CustomComponent-IEIUl\",\"inputTypes\":[\"str\"],\"type\":\"str\"},\"sourceHandle\":{\"baseClasses\":[\"str\"],\"dataType\":\"CustomComponent\",\"id\":\"CustomComponent-bCuc0\"}},\"style\":{\"stroke\":\"#555\"},\"className\":\"stroke-gray-900 stroke-connection\",\"animated\":false,\"selected\":false}],\"viewport\":{\"x\":92.23454077990459,\"y\":183.8125619056221,\"zoom\":0.6070974421975234}},\"is_component\":false,\"updated_at\":\"2023-12-08T21:33:18.503954\",\"folder\":null,\"id\":\"fe142ce5-32dc-4955-b186-672ced662f13\",\"user_id\":\"d253bfba-6368-44dc-85f7-0d6da9e45968\"},{\"name\":\"Goofy Darwin\",\"description\":\"Conversation Catalyst Engine.\",\"data\":{\"nodes\":[{\"width\":384,\"height\":626,\"id\":\"OpenAI-3ZVDh\",\"type\":\"genericNode\",\"position\":{\"x\":-4.0041891741949485,\"y\":-114.02615182719649},\"data\":{\"type\":\"OpenAI\",\"node\":{\"template\":{\"callbacks\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"password\":false,\"name\":\"callbacks\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"langchain_core.callbacks.base.BaseCallbackHandler\",\"list\":true},\"allowed_special\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"value\":[],\"password\":false,\"name\":\"allowed_special\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"str\",\"list\":true},\"async_client\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"password\":false,\"name\":\"async_client\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"Any\",\"list\":false},\"batch_size\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"value\":20,\"password\":false,\"name\":\"batch_size\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"int\",\"list\":false},\"best_of\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"value\":1,\"password\":false,\"name\":\"best_of\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"int\",\"list\":false},\"cache\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"password\":false,\"name\":\"cache\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"bool\",\"list\":false},\"client\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"password\":false,\"name\":\"client\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"Any\",\"list\":false},\"default_headers\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"password\":false,\"name\":\"default_headers\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"dict\",\"list\":false},\"default_query\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"password\":false,\"name\":\"default_query\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"dict\",\"list\":false},\"disallowed_special\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"value\":\"all\",\"password\":false,\"name\":\"disallowed_special\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"str\",\"list\":false},\"frequency_penalty\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"value\":0,\"password\":false,\"name\":\"frequency_penalty\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"float\",\"list\":false},\"http_client\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"password\":false,\"name\":\"http_client\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"Any\",\"list\":false},\"logit_bias\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"password\":false,\"name\":\"logit_bias\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"dict\",\"list\":false},\"max_retries\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"value\":2,\"password\":false,\"name\":\"max_retries\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"int\",\"list\":false},\"max_tokens\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"value\":256,\"password\":true,\"name\":\"max_tokens\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"int\",\"list\":false},\"metadata\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"password\":false,\"name\":\"metadata\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"dict\",\"list\":false},\"model_kwargs\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"password\":false,\"name\":\"model_kwargs\",\"advanced\":true,\"dynamic\":false,\"info\":\"\",\"type\":\"dict\",\"list\":false},\"model_name\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"value\":\"text-davinci-003\",\"password\":false,\"options\":[\"text-davinci-003\",\"text-davinci-002\",\"text-curie-001\",\"text-babbage-001\",\"text-ada-001\"],\"name\":\"model_name\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"str\",\"list\":true},\"n\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"value\":1,\"password\":false,\"name\":\"n\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"int\",\"list\":false},\"openai_api_base\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"password\":false,\"name\":\"openai_api_base\",\"display_name\":\"OpenAI API Base\",\"advanced\":false,\"dynamic\":false,\"info\":\"\\nThe base URL of the OpenAI API. Defaults to https://api.openai.com/v1.\\n\\nYou can change this to use other APIs like JinaChat, LocalAI and Prem.\\n\",\"type\":\"str\",\"list\":false},\"openai_api_key\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"value\":\"sk-...\",\"password\":true,\"name\":\"openai_api_key\",\"display_name\":\"OpenAI API Key\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"str\",\"list\":false},\"openai_organization\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"password\":false,\"name\":\"openai_organization\",\"display_name\":\"OpenAI Organization\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"str\",\"list\":false},\"openai_proxy\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"password\":false,\"name\":\"openai_proxy\",\"display_name\":\"OpenAI Proxy\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"str\",\"list\":false},\"presence_penalty\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"value\":0,\"password\":false,\"name\":\"presence_penalty\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"float\",\"list\":false},\"request_timeout\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"password\":false,\"name\":\"request_timeout\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"float\",\"list\":false},\"streaming\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"value\":false,\"password\":false,\"name\":\"streaming\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"bool\",\"list\":false},\"tags\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"password\":false,\"name\":\"tags\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"str\",\"list\":true},\"temperature\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"value\":0.7,\"password\":false,\"name\":\"temperature\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"float\",\"list\":false},\"tiktoken_model_name\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"password\":false,\"name\":\"tiktoken_model_name\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"str\",\"list\":false},\"top_p\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"value\":1,\"password\":false,\"name\":\"top_p\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"float\",\"list\":false},\"verbose\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"password\":false,\"name\":\"verbose\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"bool\",\"list\":false},\"_type\":\"OpenAI\"},\"description\":\"OpenAI large language models.\",\"base_classes\":[\"OpenAI\",\"BaseLLM\",\"BaseOpenAI\",\"BaseLanguageModel\"],\"display_name\":\"OpenAI\",\"custom_fields\":{},\"output_types\":[],\"documentation\":\"https://python.langchain.com/docs/modules/model_io/models/llms/integrations/openai\",\"beta\":false,\"error\":null},\"id\":\"OpenAI-3ZVDh\"},\"selected\":true,\"positionAbsolute\":{\"x\":-4.0041891741949485,\"y\":-114.02615182719649},\"dragging\":false},{\"width\":384,\"height\":338,\"id\":\"LLMChain-RFYXY\",\"type\":\"genericNode\",\"position\":{\"x\":586.672100458868,\"y\":10.967049167706678},\"data\":{\"type\":\"LLMChain\",\"node\":{\"template\":{\"code\":{\"dynamic\":true,\"required\":true,\"placeholder\":\"\",\"show\":false,\"multiline\":true,\"value\":\"from typing import Callable, Optional, Union\\n\\nfrom langchain.chains import LLMChain\\n\\nfrom langflow import CustomComponent\\nfrom langflow.field_typing import (\\n BaseLanguageModel,\\n BaseMemory,\\n BasePromptTemplate,\\n Chain,\\n)\\n\\n\\nclass LLMChainComponent(CustomComponent):\\n display_name = \\\"LLMChain\\\"\\n description = \\\"Chain to run queries against LLMs\\\"\\n\\n def build_config(self):\\n return {\\n \\\"prompt\\\": {\\\"display_name\\\": \\\"Prompt\\\"},\\n \\\"llm\\\": {\\\"display_name\\\": \\\"LLM\\\"},\\n \\\"memory\\\": {\\\"display_name\\\": \\\"Memory\\\"},\\n \\\"code\\\": {\\\"show\\\": False},\\n }\\n\\n def build(\\n self,\\n prompt: BasePromptTemplate,\\n llm: BaseLanguageModel,\\n memory: Optional[BaseMemory] = None,\\n ) -> Union[Chain, Callable]:\\n return LLMChain(prompt=prompt, llm=llm, memory=memory)\\n\",\"password\":false,\"name\":\"code\",\"advanced\":false,\"type\":\"code\",\"list\":false},\"_type\":\"CustomComponent\",\"llm\":{\"required\":true,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"password\":false,\"name\":\"llm\",\"display_name\":\"LLM\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"BaseLanguageModel\",\"list\":false},\"memory\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"password\":false,\"name\":\"memory\",\"display_name\":\"Memory\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"BaseMemory\",\"list\":false},\"prompt\":{\"required\":true,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"password\":false,\"name\":\"prompt\",\"display_name\":\"Prompt\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"BasePromptTemplate\",\"list\":false}},\"description\":\"Chain to run queries against LLMs\",\"base_classes\":[\"Chain\",\"Callable\"],\"display_name\":\"LLMChain\",\"custom_fields\":{\"llm\":null,\"memory\":null,\"prompt\":null},\"output_types\":[\"LLMChain\"],\"documentation\":\"\",\"beta\":true,\"error\":null},\"id\":\"LLMChain-RFYXY\"},\"positionAbsolute\":{\"x\":586.672100458868,\"y\":10.967049167706678}},{\"width\":384,\"height\":242,\"id\":\"ChatPromptTemplate-ce1sg\",\"type\":\"genericNode\",\"position\":{\"x\":395.598984452791,\"y\":612.188491773035},\"data\":{\"type\":\"ChatPromptTemplate\",\"node\":{\"template\":{\"messages\":{\"required\":true,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"password\":false,\"name\":\"messages\",\"advanced\":false,\"dynamic\":true,\"info\":\"\",\"type\":\"BaseMessagePromptTemplate\",\"list\":true},\"output_parser\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"password\":false,\"name\":\"output_parser\",\"advanced\":false,\"dynamic\":true,\"info\":\"\",\"type\":\"BaseOutputParser\",\"list\":false},\"input_types\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"password\":false,\"name\":\"input_types\",\"advanced\":false,\"dynamic\":true,\"info\":\"\",\"type\":\"dict\",\"list\":false},\"input_variables\":{\"required\":true,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"password\":false,\"name\":\"input_variables\",\"advanced\":false,\"dynamic\":true,\"info\":\"\",\"type\":\"str\",\"list\":true},\"partial_variables\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"password\":false,\"name\":\"partial_variables\",\"advanced\":false,\"dynamic\":true,\"info\":\"\",\"type\":\"dict\",\"list\":false},\"validate_template\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"value\":false,\"password\":false,\"name\":\"validate_template\",\"advanced\":false,\"dynamic\":true,\"info\":\"\",\"type\":\"bool\",\"list\":false},\"_type\":\"ChatPromptTemplate\"},\"description\":\"A prompt template for chat models.\",\"base_classes\":[\"ChatPromptTemplate\",\"BaseChatPromptTemplate\",\"BasePromptTemplate\"],\"display_name\":\"ChatPromptTemplate\",\"custom_fields\":{},\"output_types\":[],\"documentation\":\"https://python.langchain.com/docs/modules/model_io/models/chat/how_to/prompts\",\"beta\":false,\"error\":null},\"id\":\"ChatPromptTemplate-ce1sg\"},\"selected\":false,\"positionAbsolute\":{\"x\":395.598984452791,\"y\":612.188491773035},\"dragging\":false}],\"edges\":[{\"source\":\"OpenAI-3ZVDh\",\"sourceHandle\":\"{œbaseClassesœ:[œOpenAIœ,œBaseLLMœ,œBaseOpenAIœ,œBaseLanguageModelœ],œdataTypeœ:œOpenAIœ,œidœ:œOpenAI-3ZVDhœ}\",\"target\":\"LLMChain-RFYXY\",\"targetHandle\":\"{œfieldNameœ:œllmœ,œidœ:œLLMChain-RFYXYœ,œinputTypesœ:null,œtypeœ:œBaseLanguageModelœ}\",\"data\":{\"targetHandle\":{\"fieldName\":\"llm\",\"id\":\"LLMChain-RFYXY\",\"inputTypes\":null,\"type\":\"BaseLanguageModel\"},\"sourceHandle\":{\"baseClasses\":[\"OpenAI\",\"BaseLLM\",\"BaseOpenAI\",\"BaseLanguageModel\"],\"dataType\":\"OpenAI\",\"id\":\"OpenAI-3ZVDh\"}},\"style\":{\"stroke\":\"#555\"},\"className\":\"stroke-foreground stroke-connection\",\"animated\":false,\"id\":\"reactflow__edge-OpenAI-3ZVDh{œbaseClassesœ:[œOpenAIœ,œBaseLLMœ,œBaseOpenAIœ,œBaseLanguageModelœ],œdataTypeœ:œOpenAIœ,œidœ:œOpenAI-3ZVDhœ}-LLMChain-RFYXY{œfieldNameœ:œllmœ,œidœ:œLLMChain-RFYXYœ,œinputTypesœ:null,œtypeœ:œBaseLanguageModelœ}\"},{\"source\":\"ChatPromptTemplate-ce1sg\",\"sourceHandle\":\"{œbaseClassesœ:[œChatPromptTemplateœ,œBaseChatPromptTemplateœ,œBasePromptTemplateœ],œdataTypeœ:œChatPromptTemplateœ,œidœ:œChatPromptTemplate-ce1sgœ}\",\"target\":\"LLMChain-RFYXY\",\"targetHandle\":\"{œfieldNameœ:œpromptœ,œidœ:œLLMChain-RFYXYœ,œinputTypesœ:null,œtypeœ:œBasePromptTemplateœ}\",\"data\":{\"targetHandle\":{\"fieldName\":\"prompt\",\"id\":\"LLMChain-RFYXY\",\"inputTypes\":null,\"type\":\"BasePromptTemplate\"},\"sourceHandle\":{\"baseClasses\":[\"ChatPromptTemplate\",\"BaseChatPromptTemplate\",\"BasePromptTemplate\"],\"dataType\":\"ChatPromptTemplate\",\"id\":\"ChatPromptTemplate-ce1sg\"}},\"style\":{\"stroke\":\"#555\"},\"className\":\"stroke-foreground stroke-connection\",\"animated\":false,\"id\":\"reactflow__edge-ChatPromptTemplate-ce1sg{œbaseClassesœ:[œChatPromptTemplateœ,œBaseChatPromptTemplateœ,œBasePromptTemplateœ],œdataTypeœ:œChatPromptTemplateœ,œidœ:œChatPromptTemplate-ce1sgœ}-LLMChain-RFYXY{œfieldNameœ:œpromptœ,œidœ:œLLMChain-RFYXYœ,œinputTypesœ:null,œtypeœ:œBasePromptTemplateœ}\"}],\"viewport\":{\"x\":8.832868402772647,\"y\":189.85443326477025,\"zoom\":0.6070974421975235}},\"is_component\":false,\"updated_at\":\"2023-12-04T22:50:19.584160\",\"folder\":null,\"id\":\"103766f0-1f50-427a-9ba7-2ab73343c524\",\"user_id\":\"d253bfba-6368-44dc-85f7-0d6da9e45968\"},{\"name\":\"Perky Easley\",\"description\":\"Your Toolkit for Text Generation.\",\"data\":{\"nodes\":[{\"width\":384,\"height\":626,\"id\":\"ChatOpenAI-VPh47\",\"type\":\"genericNode\",\"position\":{\"x\":-328.5742193020408,\"y\":-420.1025929438987},\"data\":{\"type\":\"ChatOpenAI\",\"node\":{\"template\":{\"callbacks\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"password\":false,\"name\":\"callbacks\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"langchain_core.callbacks.base.BaseCallbackHandler\",\"list\":true},\"async_client\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"password\":false,\"name\":\"async_client\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"Any\",\"list\":false},\"cache\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"password\":false,\"name\":\"cache\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"bool\",\"list\":false},\"client\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"password\":false,\"name\":\"client\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"Any\",\"list\":false},\"default_headers\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"password\":false,\"name\":\"default_headers\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"dict\",\"list\":false},\"default_query\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"password\":false,\"name\":\"default_query\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"dict\",\"list\":false},\"http_client\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"password\":false,\"name\":\"http_client\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"Any\",\"list\":false},\"max_retries\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"value\":2,\"password\":false,\"name\":\"max_retries\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"int\",\"list\":false},\"max_tokens\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"password\":true,\"name\":\"max_tokens\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"int\",\"list\":false},\"metadata\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"password\":false,\"name\":\"metadata\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"dict\",\"list\":false},\"model_kwargs\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"password\":false,\"name\":\"model_kwargs\",\"advanced\":true,\"dynamic\":false,\"info\":\"\",\"type\":\"dict\",\"list\":false},\"model_name\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"value\":\"gpt-3.5-turbo\",\"password\":false,\"options\":[\"gpt-4-1106-preview\",\"gpt-4\",\"gpt-4-32k\",\"gpt-3.5-turbo\",\"gpt-3.5-turbo-16k\"],\"name\":\"model_name\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"str\",\"list\":true},\"n\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"value\":1,\"password\":false,\"name\":\"n\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"int\",\"list\":false},\"openai_api_base\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"password\":false,\"name\":\"openai_api_base\",\"display_name\":\"OpenAI API Base\",\"advanced\":false,\"dynamic\":false,\"info\":\"\\nThe base URL of the OpenAI API. Defaults to https://api.openai.com/v1.\\n\\nYou can change this to use other APIs like JinaChat, LocalAI and Prem.\\n\",\"type\":\"str\",\"list\":false},\"openai_api_key\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"value\":\"sk-...\",\"password\":true,\"name\":\"openai_api_key\",\"display_name\":\"OpenAI API Key\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"str\",\"list\":false},\"openai_organization\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"password\":false,\"name\":\"openai_organization\",\"display_name\":\"OpenAI Organization\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"str\",\"list\":false},\"openai_proxy\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"password\":false,\"name\":\"openai_proxy\",\"display_name\":\"OpenAI Proxy\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"str\",\"list\":false},\"request_timeout\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"password\":false,\"name\":\"request_timeout\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"float\",\"list\":false},\"streaming\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"value\":false,\"password\":false,\"name\":\"streaming\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"bool\",\"list\":false},\"tags\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"password\":false,\"name\":\"tags\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"str\",\"list\":true},\"temperature\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"value\":0.7,\"password\":false,\"name\":\"temperature\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"float\",\"list\":false},\"tiktoken_model_name\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"password\":false,\"name\":\"tiktoken_model_name\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"str\",\"list\":false},\"verbose\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"value\":false,\"password\":false,\"name\":\"verbose\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"bool\",\"list\":false},\"_type\":\"ChatOpenAI\"},\"description\":\"`OpenAI` Chat large language models API.\",\"base_classes\":[\"BaseChatModel\",\"ChatOpenAI\",\"BaseLanguageModel\",\"BaseLLM\"],\"display_name\":\"ChatOpenAI\",\"custom_fields\":{},\"output_types\":[],\"documentation\":\"https://python.langchain.com/docs/modules/model_io/models/chat/integrations/openai\",\"beta\":false,\"error\":null},\"id\":\"ChatOpenAI-VPh47\"},\"selected\":false,\"positionAbsolute\":{\"x\":-328.5742193020408,\"y\":-420.1025929438987},\"dragging\":false},{\"width\":384,\"height\":338,\"id\":\"LLMChain-NgFyo\",\"type\":\"genericNode\",\"position\":{\"x\":225.3113389084088,\"y\":-193.3520019494289},\"data\":{\"type\":\"LLMChain\",\"node\":{\"template\":{\"code\":{\"dynamic\":true,\"required\":true,\"placeholder\":\"\",\"show\":false,\"multiline\":true,\"value\":\"from typing import Callable, Optional, Union\\n\\nfrom langchain.chains import LLMChain\\n\\nfrom langflow import CustomComponent\\nfrom langflow.field_typing import (\\n BaseLanguageModel,\\n BaseMemory,\\n BasePromptTemplate,\\n Chain,\\n)\\n\\n\\nclass LLMChainComponent(CustomComponent):\\n display_name = \\\"LLMChain\\\"\\n description = \\\"Chain to run queries against LLMs\\\"\\n\\n def build_config(self):\\n return {\\n \\\"prompt\\\": {\\\"display_name\\\": \\\"Prompt\\\"},\\n \\\"llm\\\": {\\\"display_name\\\": \\\"LLM\\\"},\\n \\\"memory\\\": {\\\"display_name\\\": \\\"Memory\\\"},\\n \\\"code\\\": {\\\"show\\\": False},\\n }\\n\\n def build(\\n self,\\n prompt: BasePromptTemplate,\\n llm: BaseLanguageModel,\\n memory: Optional[BaseMemory] = None,\\n ) -> Union[Chain, Callable]:\\n return LLMChain(prompt=prompt, llm=llm, memory=memory)\\n\",\"password\":false,\"name\":\"code\",\"advanced\":false,\"type\":\"code\",\"list\":false},\"_type\":\"CustomComponent\",\"llm\":{\"required\":true,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"password\":false,\"name\":\"llm\",\"display_name\":\"LLM\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"BaseLanguageModel\",\"list\":false},\"memory\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"password\":false,\"name\":\"memory\",\"display_name\":\"Memory\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"BaseMemory\",\"list\":false},\"prompt\":{\"required\":true,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"password\":false,\"name\":\"prompt\",\"display_name\":\"Prompt\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"BasePromptTemplate\",\"list\":false}},\"description\":\"Chain to run queries against LLMs\",\"base_classes\":[\"Chain\",\"Callable\"],\"display_name\":\"LLMChain\",\"custom_fields\":{\"llm\":null,\"memory\":null,\"prompt\":null},\"output_types\":[\"LLMChain\"],\"documentation\":\"\",\"beta\":true,\"error\":null},\"id\":\"LLMChain-NgFyo\"},\"selected\":false,\"positionAbsolute\":{\"x\":225.3113389084088,\"y\":-193.3520019494289},\"dragging\":false},{\"width\":384,\"height\":374,\"id\":\"PromptTemplate-oAFjh\",\"type\":\"genericNode\",\"position\":{\"x\":-342.62522294052764,\"y\":391.20629510686103},\"data\":{\"type\":\"PromptTemplate\",\"node\":{\"template\":{\"output_parser\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"password\":false,\"name\":\"output_parser\",\"advanced\":false,\"dynamic\":true,\"info\":\"\",\"type\":\"BaseOutputParser\",\"list\":false},\"input_types\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"password\":false,\"name\":\"input_types\",\"advanced\":false,\"dynamic\":true,\"info\":\"\",\"type\":\"dict\",\"list\":false},\"input_variables\":{\"required\":true,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"password\":false,\"name\":\"input_variables\",\"advanced\":false,\"dynamic\":true,\"info\":\"\",\"type\":\"str\",\"list\":true,\"value\":[\"links\"]},\"partial_variables\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"password\":false,\"name\":\"partial_variables\",\"advanced\":false,\"dynamic\":true,\"info\":\"\",\"type\":\"dict\",\"list\":false},\"template\":{\"required\":true,\"placeholder\":\"\",\"show\":true,\"multiline\":true,\"password\":false,\"name\":\"template\",\"advanced\":false,\"dynamic\":true,\"info\":\"\",\"type\":\"prompt\",\"list\":false,\"value\":\"Answer everything with links\\n{links}\"},\"template_format\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"value\":\"f-string\",\"password\":false,\"name\":\"template_format\",\"advanced\":false,\"dynamic\":true,\"info\":\"\",\"type\":\"str\",\"list\":false},\"validate_template\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"value\":false,\"password\":false,\"name\":\"validate_template\",\"advanced\":false,\"dynamic\":true,\"info\":\"\",\"type\":\"bool\",\"list\":false},\"_type\":\"PromptTemplate\",\"links\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":true,\"value\":\"\",\"password\":false,\"name\":\"links\",\"display_name\":\"links\",\"advanced\":false,\"input_types\":[\"Document\",\"BaseOutputParser\"],\"dynamic\":false,\"info\":\"\",\"type\":\"str\",\"list\":false}},\"description\":\"A prompt template for a language model.\",\"base_classes\":[\"BasePromptTemplate\",\"StringPromptTemplate\",\"PromptTemplate\"],\"name\":\"\",\"display_name\":\"PromptTemplate\",\"documentation\":\"https://python.langchain.com/docs/modules/model_io/prompts/prompt_templates/\",\"custom_fields\":{\"\":[\"links\"]},\"output_types\":[],\"full_path\":null,\"field_formatters\":{},\"beta\":false,\"error\":null},\"id\":\"PromptTemplate-oAFjh\"},\"selected\":true,\"dragging\":false,\"positionAbsolute\":{\"x\":-342.62522294052764,\"y\":391.20629510686103}}],\"edges\":[{\"source\":\"ChatOpenAI-VPh47\",\"sourceHandle\":\"{œbaseClassesœ:[œBaseChatModelœ,œChatOpenAIœ,œBaseLanguageModelœ,œBaseLLMœ],œdataTypeœ:œChatOpenAIœ,œidœ:œChatOpenAI-VPh47œ}\",\"target\":\"LLMChain-NgFyo\",\"targetHandle\":\"{œfieldNameœ:œllmœ,œidœ:œLLMChain-NgFyoœ,œinputTypesœ:null,œtypeœ:œBaseLanguageModelœ}\",\"data\":{\"targetHandle\":{\"fieldName\":\"llm\",\"id\":\"LLMChain-NgFyo\",\"inputTypes\":null,\"type\":\"BaseLanguageModel\"},\"sourceHandle\":{\"baseClasses\":[\"BaseChatModel\",\"ChatOpenAI\",\"BaseLanguageModel\",\"BaseLLM\"],\"dataType\":\"ChatOpenAI\",\"id\":\"ChatOpenAI-VPh47\"}},\"style\":{\"stroke\":\"#555\"},\"className\":\"stroke-foreground stroke-connection\",\"animated\":false,\"id\":\"reactflow__edge-ChatOpenAI-VPh47{œbaseClassesœ:[œBaseChatModelœ,œChatOpenAIœ,œBaseLanguageModelœ,œBaseLLMœ],œdataTypeœ:œChatOpenAIœ,œidœ:œChatOpenAI-VPh47œ}-LLMChain-NgFyo{œfieldNameœ:œllmœ,œidœ:œLLMChain-NgFyoœ,œinputTypesœ:null,œtypeœ:œBaseLanguageModelœ}\"},{\"source\":\"PromptTemplate-oAFjh\",\"sourceHandle\":\"{œbaseClassesœ:[œBasePromptTemplateœ,œStringPromptTemplateœ,œPromptTemplateœ],œdataTypeœ:œPromptTemplateœ,œidœ:œPromptTemplate-oAFjhœ}\",\"target\":\"LLMChain-NgFyo\",\"targetHandle\":\"{œfieldNameœ:œpromptœ,œidœ:œLLMChain-NgFyoœ,œinputTypesœ:null,œtypeœ:œBasePromptTemplateœ}\",\"data\":{\"targetHandle\":{\"fieldName\":\"prompt\",\"id\":\"LLMChain-NgFyo\",\"inputTypes\":null,\"type\":\"BasePromptTemplate\"},\"sourceHandle\":{\"baseClasses\":[\"BasePromptTemplate\",\"StringPromptTemplate\",\"PromptTemplate\"],\"dataType\":\"PromptTemplate\",\"id\":\"PromptTemplate-oAFjh\"}},\"style\":{\"stroke\":\"#555\"},\"className\":\"stroke-foreground stroke-connection\",\"animated\":false,\"id\":\"reactflow__edge-PromptTemplate-oAFjh{œbaseClassesœ:[œBasePromptTemplateœ,œStringPromptTemplateœ,œPromptTemplateœ],œdataTypeœ:œPromptTemplateœ,œidœ:œPromptTemplate-oAFjhœ}-LLMChain-NgFyo{œfieldNameœ:œpromptœ,œidœ:œLLMChain-NgFyoœ,œinputTypesœ:null,œtypeœ:œBasePromptTemplateœ}\"}],\"viewport\":{\"x\":338.6546182690814,\"y\":53.026340800283265,\"zoom\":0.7169776240079143}},\"is_component\":false,\"updated_at\":\"2023-12-04T22:53:25.148460\",\"folder\":null,\"id\":\"a794fc48-5e9b-42a3-924f-7fe610500035\",\"user_id\":\"d253bfba-6368-44dc-85f7-0d6da9e45968\"},{\"name\":\"(D) Basic Chat (1) (4)\",\"description\":\"Simplest possible chat model\",\"data\":{\"nodes\":[{\"width\":384,\"height\":626,\"id\":\"ChatOpenAI-fBcfh\",\"type\":\"genericNode\",\"position\":{\"x\":228.87326389541306,\"y\":465.8628482073749},\"data\":{\"type\":\"ChatOpenAI\",\"node\":{\"template\":{\"callbacks\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"password\":false,\"name\":\"callbacks\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"langchain.callbacks.base.BaseCallbackHandler\",\"list\":true},\"cache\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"password\":false,\"name\":\"cache\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"bool\",\"list\":false},\"client\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"password\":false,\"name\":\"client\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"Any\",\"list\":false},\"max_retries\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"value\":6,\"password\":false,\"name\":\"max_retries\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"int\",\"list\":false},\"max_tokens\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"password\":true,\"name\":\"max_tokens\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"int\",\"list\":false},\"metadata\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"password\":false,\"name\":\"metadata\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"dict\",\"list\":false},\"model_kwargs\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"password\":false,\"name\":\"model_kwargs\",\"advanced\":true,\"dynamic\":false,\"info\":\"\",\"type\":\"dict\",\"list\":false},\"model_name\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"value\":\"gpt-3.5-turbo\",\"password\":false,\"options\":[\"gpt-3.5-turbo-0613\",\"gpt-3.5-turbo\",\"gpt-3.5-turbo-16k-0613\",\"gpt-3.5-turbo-16k\",\"gpt-4-0613\",\"gpt-4-32k-0613\",\"gpt-4\",\"gpt-4-32k\"],\"name\":\"model_name\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"str\",\"list\":true},\"n\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"value\":1,\"password\":false,\"name\":\"n\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"int\",\"list\":false},\"openai_api_base\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"password\":false,\"name\":\"openai_api_base\",\"display_name\":\"OpenAI API Base\",\"advanced\":false,\"dynamic\":false,\"info\":\"\\nThe base URL of the OpenAI API. Defaults to https://api.openai.com/v1.\\n\\nYou can change this to use other APIs like JinaChat, LocalAI and Prem.\\n\",\"type\":\"str\",\"list\":false},\"openai_api_key\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"value\":\"sk-...\",\"password\":true,\"name\":\"openai_api_key\",\"display_name\":\"OpenAI API Key\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"str\",\"list\":false},\"openai_organization\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"password\":false,\"name\":\"openai_organization\",\"display_name\":\"OpenAI Organization\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"str\",\"list\":false},\"openai_proxy\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"password\":false,\"name\":\"openai_proxy\",\"display_name\":\"OpenAI Proxy\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"str\",\"list\":false},\"request_timeout\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"password\":false,\"name\":\"request_timeout\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"float\",\"list\":false,\"value\":60},\"streaming\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"value\":false,\"password\":false,\"name\":\"streaming\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"bool\",\"list\":false},\"tags\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"password\":false,\"name\":\"tags\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"str\",\"list\":true},\"temperature\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"value\":0.7,\"password\":false,\"name\":\"temperature\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"float\",\"list\":false},\"tiktoken_model_name\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"password\":false,\"name\":\"tiktoken_model_name\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"str\",\"list\":false},\"verbose\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"value\":false,\"password\":false,\"name\":\"verbose\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"bool\",\"list\":false},\"_type\":\"ChatOpenAI\"},\"description\":\"`OpenAI` Chat large language models API.\",\"base_classes\":[\"BaseChatModel\",\"BaseLanguageModel\",\"ChatOpenAI\",\"BaseLLM\"],\"display_name\":\"ChatOpenAI\",\"documentation\":\"https://python.langchain.com/docs/modules/model_io/models/chat/integrations/openai\"},\"id\":\"ChatOpenAI-fBcfh\",\"value\":null},\"selected\":false,\"dragging\":false,\"positionAbsolute\":{\"x\":228.87326389541306,\"y\":465.8628482073749}},{\"width\":384,\"height\":310,\"id\":\"ConversationChain-bVNex\",\"type\":\"genericNode\",\"position\":{\"x\":806,\"y\":554},\"data\":{\"type\":\"ConversationChain\",\"node\":{\"template\":{\"callbacks\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"password\":false,\"name\":\"callbacks\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"langchain.callbacks.base.BaseCallbackHandler\",\"list\":true},\"llm\":{\"required\":true,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"password\":false,\"name\":\"llm\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"BaseLanguageModel\",\"list\":false},\"memory\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"password\":false,\"name\":\"memory\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"BaseMemory\",\"list\":false},\"output_parser\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"value\":{\"_type\":\"default\"},\"password\":false,\"name\":\"output_parser\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"BaseLLMOutputParser\",\"list\":false},\"prompt\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"value\":{\"input_variables\":[\"history\",\"input\"],\"output_parser\":null,\"partial_variables\":{},\"template\":\"The following is a friendly conversation between a human and an AI. The AI is talkative and provides lots of specific details from its context. If the AI does not know the answer to a question, it truthfully says it does not know.\\n\\nCurrent conversation:\\n{history}\\nHuman: {input}\\nAI:\",\"template_format\":\"f-string\",\"validate_template\":true,\"_type\":\"prompt\"},\"password\":false,\"name\":\"prompt\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"BasePromptTemplate\",\"list\":false},\"input_key\":{\"required\":true,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"value\":\"input\",\"password\":false,\"name\":\"input_key\",\"advanced\":true,\"dynamic\":false,\"info\":\"\",\"type\":\"str\",\"list\":false},\"llm_kwargs\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"password\":false,\"name\":\"llm_kwargs\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"dict\",\"list\":false},\"metadata\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"password\":false,\"name\":\"metadata\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"dict\",\"list\":false},\"output_key\":{\"required\":true,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"value\":\"response\",\"password\":false,\"name\":\"output_key\",\"advanced\":true,\"dynamic\":false,\"info\":\"\",\"type\":\"str\",\"list\":false},\"return_final_only\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"value\":true,\"password\":false,\"name\":\"return_final_only\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"bool\",\"list\":false},\"tags\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"password\":false,\"name\":\"tags\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"str\",\"list\":true},\"verbose\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"password\":false,\"name\":\"verbose\",\"advanced\":true,\"dynamic\":false,\"info\":\"\",\"type\":\"bool\",\"list\":false},\"_type\":\"ConversationChain\"},\"description\":\"Chain to have a conversation and load context from memory.\",\"base_classes\":[\"ConversationChain\",\"Chain\",\"LLMChain\",\"function\"],\"display_name\":\"ConversationChain\",\"documentation\":\"\"},\"id\":\"ConversationChain-bVNex\",\"value\":null},\"selected\":false,\"dragging\":false,\"positionAbsolute\":{\"x\":806,\"y\":554}}],\"edges\":[{\"source\":\"ChatOpenAI-fBcfh\",\"sourceHandle\":\"{œbaseClassesœ:[œBaseChatModelœ,œBaseLanguageModelœ,œChatOpenAIœ,œBaseLLMœ],œdataTypeœ:œChatOpenAIœ,œidœ:œChatOpenAI-fBcfhœ}\",\"target\":\"ConversationChain-bVNex\",\"targetHandle\":\"{œfieldNameœ:œllmœ,œidœ:œConversationChain-bVNexœ,œinputTypesœ:null,œtypeœ:œBaseLanguageModelœ}\",\"className\":\"stroke-gray-900 stroke-connection\",\"id\":\"reactflow__edge-ChatOpenAI-fBcfh{œbaseClassesœ:[œBaseChatModelœ,œBaseLanguageModelœ,œChatOpenAIœ,œBaseLLMœ],œdataTypeœ:œChatOpenAIœ,œidœ:œChatOpenAI-fBcfhœ}-ConversationChain-bVNex{œfieldNameœ:œllmœ,œidœ:œConversationChain-bVNexœ,œinputTypesœ:null,œtypeœ:œBaseLanguageModelœ}\",\"data\":{\"sourceHandle\":{\"baseClasses\":[\"BaseChatModel\",\"BaseLanguageModel\",\"ChatOpenAI\",\"BaseLLM\"],\"dataType\":\"ChatOpenAI\",\"id\":\"ChatOpenAI-fBcfh\"},\"targetHandle\":{\"fieldName\":\"llm\",\"id\":\"ConversationChain-bVNex\",\"inputTypes\":null,\"type\":\"BaseLanguageModel\"}},\"style\":{\"stroke\":\"#555\"},\"animated\":false}],\"viewport\":{\"x\":-118.21416568593895,\"y\":-240.64815770363373,\"zoom\":0.7642485855675408}},\"is_component\":false,\"updated_at\":\"2023-12-04T22:57:55.879806\",\"folder\":null,\"id\":\"bddebeea-b80a-4b28-8895-c4425687dcce\",\"user_id\":\"d253bfba-6368-44dc-85f7-0d6da9e45968\"},{\"name\":\"Directory Loader\",\"description\":\"Generic File Loader\",\"data\":{\"edges\":[],\"nodes\":[{\"data\":{\"type\":\"CustomComponent\",\"node\":{\"template\":{\"code\":{\"dynamic\":true,\"required\":true,\"placeholder\":\"\",\"show\":true,\"multiline\":true,\"value\":\"import os\\n\\nfrom langchain.schema import Document\\nfrom langflow import CustomComponent\\nimport glob\\n\\nclass DirectoryLoaderComponent(CustomComponent):\\n display_name: str = \\\"Directory Loader\\\"\\n description: str = \\\"Generic File Loader\\\"\\n beta = True\\n loaders_info = [\\n {\\n \\\"loader\\\": \\\"AirbyteJSONLoader\\\",\\n \\\"name\\\": \\\"Airbyte JSON (.jsonl)\\\",\\n \\\"import\\\": \\\"langchain.document_loaders.AirbyteJSONLoader\\\",\\n \\\"defaultFor\\\": [\\\"jsonl\\\"],\\n \\\"allowdTypes\\\": [\\\"jsonl\\\"],\\n },\\n {\\n \\\"loader\\\": \\\"JSONLoader\\\",\\n \\\"name\\\": \\\"JSON (.json)\\\",\\n \\\"import\\\": \\\"langchain.document_loaders.JSONLoader\\\",\\n \\\"defaultFor\\\": [\\\"json\\\"],\\n \\\"allowdTypes\\\": [\\\"json\\\"],\\n \\\"kwargs\\\": {\\\"jq_schema\\\": \\\".\\\", \\\"text_content\\\": False}\\n },\\n {\\n \\\"loader\\\": \\\"BSHTMLLoader\\\",\\n \\\"name\\\": \\\"BeautifulSoup4 HTML (.html, .htm)\\\",\\n \\\"import\\\": \\\"langchain.document_loaders.BSHTMLLoader\\\",\\n \\\"allowdTypes\\\": [\\\"html\\\", \\\"htm\\\"],\\n },\\n {\\n \\\"loader\\\": \\\"CSVLoader\\\",\\n \\\"name\\\": \\\"CSV (.csv)\\\",\\n \\\"import\\\": \\\"langchain.document_loaders.CSVLoader\\\",\\n \\\"defaultFor\\\": [\\\"csv\\\"],\\n \\\"allowdTypes\\\": [\\\"csv\\\"],\\n },\\n {\\n \\\"loader\\\": \\\"CoNLLULoader\\\",\\n \\\"name\\\": \\\"CoNLL-U (.conllu)\\\",\\n \\\"import\\\": \\\"langchain.document_loaders.CoNLLULoader\\\",\\n \\\"defaultFor\\\": [\\\"conllu\\\"],\\n \\\"allowdTypes\\\": [\\\"conllu\\\"],\\n },\\n {\\n \\\"loader\\\": \\\"EverNoteLoader\\\",\\n \\\"name\\\": \\\"EverNote (.enex)\\\",\\n \\\"import\\\": \\\"langchain.document_loaders.EverNoteLoader\\\",\\n \\\"defaultFor\\\": [\\\"enex\\\"],\\n \\\"allowdTypes\\\": [\\\"enex\\\"],\\n },\\n {\\n \\\"loader\\\": \\\"FacebookChatLoader\\\",\\n \\\"name\\\": \\\"Facebook Chat (.json)\\\",\\n \\\"import\\\": \\\"langchain.document_loaders.FacebookChatLoader\\\",\\n \\\"allowdTypes\\\": [\\\"json\\\"],\\n },\\n {\\n \\\"loader\\\": \\\"OutlookMessageLoader\\\",\\n \\\"name\\\": \\\"Outlook Message (.msg)\\\",\\n \\\"import\\\": \\\"langchain.document_loaders.OutlookMessageLoader\\\",\\n \\\"defaultFor\\\": [\\\"msg\\\"],\\n \\\"allowdTypes\\\": [\\\"msg\\\"],\\n },\\n {\\n \\\"loader\\\": \\\"PyPDFLoader\\\",\\n \\\"name\\\": \\\"PyPDF (.pdf)\\\",\\n \\\"import\\\": \\\"langchain.document_loaders.PyPDFLoader\\\",\\n \\\"defaultFor\\\": [\\\"pdf\\\"],\\n \\\"allowdTypes\\\": [\\\"pdf\\\"],\\n },\\n {\\n \\\"loader\\\": \\\"STRLoader\\\",\\n \\\"name\\\": \\\"Subtitle (.str)\\\",\\n \\\"import\\\": \\\"langchain.document_loaders.STRLoader\\\",\\n \\\"defaultFor\\\": [\\\"str\\\"],\\n \\\"allowdTypes\\\": [\\\"str\\\"],\\n },\\n {\\n \\\"loader\\\": \\\"TextLoader\\\",\\n \\\"name\\\": \\\"Text (.txt)\\\",\\n \\\"import\\\": \\\"langchain.document_loaders.TextLoader\\\",\\n \\\"defaultFor\\\": [\\\"txt\\\"],\\n \\\"allowdTypes\\\": [\\\"txt\\\"],\\n },\\n {\\n \\\"loader\\\": \\\"UnstructuredEmailLoader\\\",\\n \\\"name\\\": \\\"Unstructured Email (.eml)\\\",\\n \\\"import\\\": \\\"langchain.document_loaders.UnstructuredEmailLoader\\\",\\n \\\"defaultFor\\\": [\\\"eml\\\"],\\n \\\"allowdTypes\\\": [\\\"eml\\\"],\\n },\\n {\\n \\\"loader\\\": \\\"UnstructuredHTMLLoader\\\",\\n \\\"name\\\": \\\"Unstructured HTML (.html, .htm)\\\",\\n \\\"import\\\": \\\"langchain.document_loaders.UnstructuredHTMLLoader\\\",\\n \\\"defaultFor\\\": [\\\"html\\\", \\\"htm\\\"],\\n \\\"allowdTypes\\\": [\\\"html\\\", \\\"htm\\\"],\\n },\\n {\\n \\\"loader\\\": \\\"UnstructuredMarkdownLoader\\\",\\n \\\"name\\\": \\\"Unstructured Markdown (.md)\\\",\\n \\\"import\\\": \\\"langchain.document_loaders.UnstructuredMarkdownLoader\\\",\\n \\\"defaultFor\\\": [\\\"md\\\"],\\n \\\"allowdTypes\\\": [\\\"md\\\"],\\n },\\n {\\n \\\"loader\\\": \\\"UnstructuredPowerPointLoader\\\",\\n \\\"name\\\": \\\"Unstructured PowerPoint (.pptx)\\\",\\n \\\"import\\\": \\\"langchain.document_loaders.UnstructuredPowerPointLoader\\\",\\n \\\"defaultFor\\\": [\\\"pptx\\\"],\\n \\\"allowdTypes\\\": [\\\"pptx\\\"],\\n },\\n {\\n \\\"loader\\\": \\\"UnstructuredWordLoader\\\",\\n \\\"name\\\": \\\"Unstructured Word (.docx)\\\",\\n \\\"import\\\": \\\"langchain.document_loaders.UnstructuredWordLoader\\\",\\n \\\"defaultFor\\\": [\\\"docx\\\"],\\n \\\"allowdTypes\\\": [\\\"docx\\\"],\\n },\\n]\\n\\n\\n def build_config(self):\\n loader_options = [\\\"Automatic\\\"] + [\\n loader_info[\\\"name\\\"] for loader_info in self.loaders_info\\n ]\\n\\n file_types = []\\n suffixes = []\\n\\n for loader_info in self.loaders_info:\\n if \\\"allowedTypes\\\" in loader_info:\\n file_types.extend(loader_info[\\\"allowedTypes\\\"])\\n suffixes.extend([f\\\".{ext}\\\" for ext in loader_info[\\\"allowedTypes\\\"]])\\n\\n return {\\n \\\"directory_path\\\": {\\n \\\"display_name\\\": \\\"Directory Path\\\",\\n \\\"required\\\": True,\\n },\\n \\\"loader\\\": {\\n \\\"display_name\\\": \\\"Loader\\\",\\n \\\"is_list\\\": True,\\n \\\"required\\\": True,\\n \\\"options\\\": loader_options,\\n \\\"value\\\": \\\"Automatic\\\",\\n },\\n }\\n\\n def build(self, directory_path: str, loader: str) -> Document:\\n # Verifique se o diretório existe\\n if not os.path.exists(directory_path):\\n raise ValueError(f\\\"Directory not found: {directory_path}\\\")\\n\\n files = glob.glob(directory_path + \\\"/*.*\\\")\\n\\n\\n loader_info = None\\n if loader == \\\"Automatic\\\":\\n for file in files:\\n file_type = file.split(\\\".\\\")[-1]\\n\\n\\n for info in self.loaders_info:\\n if \\\"defaultFor\\\" in info:\\n if file_type in info[\\\"defaultFor\\\"]:\\n loader_info = info\\n break\\n if loader_info:\\n break\\n\\n if not loader_info:\\n raise ValueError(\\n \\\"No default loader found for any file in the directory\\\"\\n )\\n\\n else:\\n for info in self.loaders_info:\\n if info[\\\"name\\\"] == loader:\\n loader_info = info\\n break\\n\\n if not loader_info:\\n raise ValueError(f\\\"Loader {loader} not found in the loader info list\\\")\\n\\n loader_import = loader_info[\\\"import\\\"]\\n module_name, class_name = loader_import.rsplit(\\\".\\\", 1)\\n\\n try:\\n # Importe o loader dinamicamente\\n loader_module = __import__(module_name, fromlist=[class_name])\\n loader_instance = getattr(loader_module, class_name)\\n except ImportError as e:\\n raise ValueError(\\n f\\\"Loader {loader} could not be imported\\\\nLoader info:\\\\n{loader_info}\\\"\\n ) from e\\n\\n results = []\\n for file in files:\\n file_path = os.path.join(directory_path, file)\\n kwargs = loader_info.get(\\\"kwargs\\\", {})\\n result = loader_instance(file_path=file_path, **kwargs).load()\\n results.append(result)\\n self.status = results\\n return results\",\"password\":false,\"name\":\"code\",\"advanced\":false,\"type\":\"code\",\"list\":false},\"_type\":\"CustomComponent\",\"directory_path\":{\"required\":true,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"password\":false,\"name\":\"directory_path\",\"display_name\":\"Directory Path\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"str\",\"list\":false,\"value\":\"/Users/ogabrielluiz/Projects/langflow2/docs\"},\"loader\":{\"required\":true,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"value\":\"Automatic\",\"password\":false,\"options\":[\"Automatic\",\"Airbyte JSON (.jsonl)\",\"JSON (.json)\",\"BeautifulSoup4 HTML (.html, .htm)\",\"CSV (.csv)\",\"CoNLL-U (.conllu)\",\"EverNote (.enex)\",\"Facebook Chat (.json)\",\"Outlook Message (.msg)\",\"PyPDF (.pdf)\",\"Subtitle (.str)\",\"Text (.txt)\",\"Unstructured Email (.eml)\",\"Unstructured HTML (.html, .htm)\",\"Unstructured Markdown (.md)\",\"Unstructured PowerPoint (.pptx)\",\"Unstructured Word (.docx)\"],\"name\":\"loader\",\"display_name\":\"Loader\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"str\",\"list\":true}},\"description\":\"Generic File Loader\",\"base_classes\":[\"Document\"],\"display_name\":\"Directory Loader\",\"custom_fields\":{\"directory_path\":null,\"loader\":null},\"output_types\":[\"Document\"],\"documentation\":\"\",\"beta\":true,\"error\":null,\"official\":false},\"id\":\"CustomComponent-Ip6tG\"},\"id\":\"CustomComponent-Ip6tG\",\"position\":{\"x\":0,\"y\":0},\"type\":\"genericNode\"}],\"viewport\":{\"x\":1,\"y\":1,\"zoom\":1}},\"is_component\":true,\"updated_at\":\"2023-12-04T22:58:38.570303\",\"folder\":null,\"id\":\"5fe4debc-b6a7-45d4-a694-c02d8aa93b08\",\"user_id\":\"d253bfba-6368-44dc-85f7-0d6da9e45968\"},{\"name\":\"Whisper Transcriber\",\"description\":\"Converts audio to text using OpenAI's Whisper.\",\"data\":{\"edges\":[],\"nodes\":[{\"data\":{\"type\":\"CustomComponent\",\"node\":{\"template\":{\"code\":{\"dynamic\":true,\"required\":true,\"placeholder\":\"\",\"show\":true,\"multiline\":true,\"value\":\"from langflow import CustomComponent\\nfrom typing import Optional, List, Dict, Union\\nfrom langflow.field_typing import (\\n AgentExecutor,\\n BaseChatMemory,\\n BaseLanguageModel,\\n BaseLLM,\\n BaseLoader,\\n BaseMemory,\\n BaseOutputParser,\\n BasePromptTemplate,\\n BaseRetriever,\\n Callable,\\n Chain,\\n ChatPromptTemplate,\\n Data,\\n Document,\\n Embeddings,\\n NestedDict,\\n Object,\\n PromptTemplate,\\n TextSplitter,\\n Tool,\\n VectorStore,\\n)\\n\\nfrom openai import OpenAI\\nclass Component(CustomComponent):\\n display_name: str = \\\"Whisper Transcriber\\\"\\n description: str = \\\"Converts audio to text using OpenAI's Whisper.\\\"\\n\\n def build_config(self):\\n return {\\\"audio\\\":{\\\"field_type\\\":\\\"file\\\",\\\"suffixes\\\":[\\\".mp3\\\", \\\".mp4\\\", \\\".m4a\\\"]},\\\"OpenAIKey\\\":{\\\"field_type\\\":\\\"str\\\",\\\"password\\\":True}}\\n\\n def build(self, audio:str, OpenAIKey:str) -> str:\\n \\n # TODO: if output path, persist & load it instead\\n \\n client = OpenAI(api_key=OpenAIKey)\\n \\n audio_file= open(audio, \\\"rb\\\")\\n transcript = client.audio.transcriptions.create(\\n model=\\\"whisper-1\\\", \\n file=audio_file,\\n response_format=\\\"text\\\"\\n )\\n \\n \\n self.status = transcript\\n return transcript\\n\\n\",\"password\":false,\"name\":\"code\",\"advanced\":false,\"type\":\"code\",\"list\":false},\"_type\":\"CustomComponent\",\"OpenAIKey\":{\"required\":true,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"password\":true,\"name\":\"OpenAIKey\",\"display_name\":\"OpenAIKey\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"str\",\"list\":false,\"value\":\"\"},\"audio\":{\"required\":true,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"suffixes\":[\".mp3\",\".mp4\",\".m4a\"],\"password\":false,\"name\":\"audio\",\"display_name\":\"audio\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"file\",\"list\":false,\"file_path\":\"/Users/rodrigonader/Library/Caches/langflow/19b3e1c9-90bf-405f-898a-e982f47adf76/a3308ce7e9b10088fcd985aabb6d17b012c6b6e81ff8806356574474c9d10229.m4a\",\"value\":\"Audio Recording 2023-11-29 at 12.12.04.m4a\"}},\"description\":\"Converts audio to text using OpenAI's Whisper.\",\"base_classes\":[\"str\"],\"display_name\":\"Whisper Transcriber\",\"custom_fields\":{\"OpenAIKey\":null,\"audio\":null},\"output_types\":[\"str\"],\"documentation\":\"\",\"beta\":true,\"error\":null,\"official\":false},\"id\":\"CustomComponent-GJRrs\"},\"id\":\"CustomComponent-GJRrs\",\"position\":{\"x\":0,\"y\":0},\"type\":\"genericNode\"}],\"viewport\":{\"x\":1,\"y\":1,\"zoom\":1}},\"is_component\":true,\"updated_at\":\"2023-12-04T22:58:39.710502\",\"folder\":null,\"id\":\"bd9e911d-46bd-429f-aa75-dd740430695e\",\"user_id\":\"d253bfba-6368-44dc-85f7-0d6da9e45968\"},{\"name\":\"Youtube Conversation\",\"description\":\"Craft Meaningful Interactions, Generate Value.\",\"data\":{\"nodes\":[{\"width\":384,\"height\":589,\"id\":\"CustomComponent-h0NSI\",\"type\":\"genericNode\",\"position\":{\"x\":714.9531293402755,\"y\":0.4994374160582993},\"data\":{\"type\":\"CustomComponent\",\"node\":{\"template\":{\"code\":{\"dynamic\":true,\"required\":true,\"placeholder\":\"\",\"show\":true,\"multiline\":true,\"value\":\"import requests\\nfrom langflow import CustomComponent\\nfrom langchain.llms.base import BaseLLM\\nfrom langchain.schema import Document\\nfrom langchain.document_loaders import YoutubeLoader\\n\\n# Example usage:\\n\\nclass YourComponent(CustomComponent):\\n display_name: str = \\\"YouTube Transcript\\\"\\n description: str = \\\"YouTube transcripts refer to the written text versions of the spoken content in a video uploaded to the YouTube platform.\\\"\\n\\n def build_config(self):\\n return {\\\"url\\\": {\\\"multiline\\\": True, \\\"required\\\": True}}\\n\\n def build(self, url: str, llm: BaseLLM, dependencies: Document, language: str = \\\"en\\\") -> Document:\\n dependencies\\n response = requests.get(url)\\n loader = YoutubeLoader.from_youtube_url(url, add_video_info=True, language=[language])\\n result = loader.load()\\n self.repr_value = str(result)\\n return result\",\"password\":false,\"name\":\"code\",\"advanced\":false,\"type\":\"code\",\"list\":false},\"_type\":\"CustomComponent\",\"dependencies\":{\"required\":true,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"password\":false,\"name\":\"dependencies\",\"display_name\":\"dependencies\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"Document\",\"list\":false},\"language\":{\"required\":true,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"value\":\"en\",\"password\":false,\"name\":\"language\",\"display_name\":\"language\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"str\",\"list\":false},\"llm\":{\"required\":true,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"password\":false,\"name\":\"llm\",\"display_name\":\"llm\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"BaseLLM\",\"list\":false},\"url\":{\"required\":true,\"placeholder\":\"\",\"show\":true,\"multiline\":true,\"password\":false,\"name\":\"url\",\"display_name\":\"url\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"str\",\"list\":false}},\"description\":\"YouTube transcripts refer to the written text versions of the spoken content in a video uploaded to the YouTube platform.\",\"base_classes\":[\"Document\"],\"display_name\":\"YouTube Transcript\",\"custom_fields\":{\"dependencies\":null,\"language\":null,\"llm\":null,\"url\":null},\"output_types\":[\"Document\"],\"documentation\":\"\",\"beta\":true,\"error\":null},\"id\":\"CustomComponent-h0NSI\"},\"selected\":false,\"dragging\":false,\"positionAbsolute\":{\"x\":714.9531293402755,\"y\":0.4994374160582993}},{\"width\":384,\"height\":629,\"id\":\"ChatOpenAI-q61Y2\",\"type\":\"genericNode\",\"position\":{\"x\":18,\"y\":625.5521045590924},\"data\":{\"type\":\"ChatOpenAI\",\"node\":{\"template\":{\"callbacks\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"password\":false,\"name\":\"callbacks\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"langchain.callbacks.base.BaseCallbackHandler\",\"list\":true},\"cache\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"password\":false,\"name\":\"cache\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"bool\",\"list\":false},\"client\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"password\":false,\"name\":\"client\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"Any\",\"list\":false},\"max_retries\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"value\":6,\"password\":false,\"name\":\"max_retries\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"int\",\"list\":false},\"max_tokens\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"password\":true,\"name\":\"max_tokens\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"int\",\"list\":false,\"value\":\"\"},\"metadata\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"password\":false,\"name\":\"metadata\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"dict\",\"list\":false},\"model_kwargs\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"password\":false,\"name\":\"model_kwargs\",\"advanced\":true,\"dynamic\":false,\"info\":\"\",\"type\":\"dict\",\"list\":false},\"model_name\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"value\":\"gpt-3.5-turbo-16k\",\"password\":false,\"options\":[\"gpt-3.5-turbo-0613\",\"gpt-3.5-turbo\",\"gpt-3.5-turbo-16k-0613\",\"gpt-3.5-turbo-16k\",\"gpt-4-0613\",\"gpt-4-32k-0613\",\"gpt-4\",\"gpt-4-32k\"],\"name\":\"model_name\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"str\",\"list\":true},\"n\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"value\":1,\"password\":false,\"name\":\"n\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"int\",\"list\":false},\"openai_api_base\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"password\":false,\"name\":\"openai_api_base\",\"display_name\":\"OpenAI API Base\",\"advanced\":false,\"dynamic\":false,\"info\":\"\\nThe base URL of the OpenAI API. Defaults to https://api.openai.com/v1.\\n\\nYou can change this to use other APIs like JinaChat, LocalAI and Prem.\\n\",\"type\":\"str\",\"list\":false},\"openai_api_key\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"value\":\"\",\"password\":true,\"name\":\"openai_api_key\",\"display_name\":\"OpenAI API Key\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"str\",\"list\":false},\"openai_organization\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"password\":false,\"name\":\"openai_organization\",\"display_name\":\"OpenAI Organization\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"str\",\"list\":false},\"openai_proxy\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"password\":false,\"name\":\"openai_proxy\",\"display_name\":\"OpenAI Proxy\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"str\",\"list\":false},\"request_timeout\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"password\":false,\"name\":\"request_timeout\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"float\",\"list\":false},\"streaming\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"value\":false,\"password\":false,\"name\":\"streaming\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"bool\",\"list\":false},\"tags\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"password\":false,\"name\":\"tags\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"str\",\"list\":true},\"temperature\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"value\":0.7,\"password\":false,\"name\":\"temperature\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"float\",\"list\":false},\"tiktoken_model_name\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"password\":false,\"name\":\"tiktoken_model_name\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"str\",\"list\":false},\"verbose\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"value\":false,\"password\":false,\"name\":\"verbose\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"bool\",\"list\":false},\"_type\":\"ChatOpenAI\"},\"description\":\"`OpenAI` Chat large language models API.\",\"base_classes\":[\"ChatOpenAI\",\"BaseChatModel\",\"BaseLanguageModel\",\"BaseLLM\"],\"display_name\":\"ChatOpenAI\",\"custom_fields\":{},\"output_types\":[],\"documentation\":\"https://python.langchain.com/docs/modules/model_io/models/chat/integrations/openai\",\"beta\":false,\"error\":null},\"id\":\"ChatOpenAI-q61Y2\"},\"selected\":false,\"positionAbsolute\":{\"x\":18,\"y\":625.5521045590924},\"dragging\":false},{\"width\":384,\"height\":539,\"id\":\"Chroma-gVhy7\",\"type\":\"genericNode\",\"position\":{\"x\":2110.365967257855,\"y\":805.0149521868784},\"data\":{\"type\":\"Chroma\",\"node\":{\"template\":{\"client\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"password\":false,\"name\":\"client\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"chromadb.Client\",\"list\":false},\"client_settings\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"password\":false,\"name\":\"client_settings\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"chromadb.config.Setting\",\"list\":true},\"documents\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"password\":false,\"name\":\"documents\",\"display_name\":\"Documents\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"Document\",\"list\":true},\"embedding\":{\"required\":true,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"password\":false,\"name\":\"embedding\",\"display_name\":\"Embedding\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"Embeddings\",\"list\":false},\"chroma_server_cors_allow_origins\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"password\":false,\"name\":\"chroma_server_cors_allow_origins\",\"display_name\":\"Chroma Server CORS Allow Origins\",\"advanced\":true,\"dynamic\":false,\"info\":\"\",\"type\":\"str\",\"list\":true},\"chroma_server_grpc_port\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"password\":false,\"name\":\"chroma_server_grpc_port\",\"display_name\":\"Chroma Server GRPC Port\",\"advanced\":true,\"dynamic\":false,\"info\":\"\",\"type\":\"str\",\"list\":false},\"chroma_server_host\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"password\":false,\"name\":\"chroma_server_host\",\"display_name\":\"Chroma Server Host\",\"advanced\":true,\"dynamic\":false,\"info\":\"\",\"type\":\"str\",\"list\":false},\"chroma_server_http_port\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"password\":false,\"name\":\"chroma_server_http_port\",\"display_name\":\"Chroma Server HTTP Port\",\"advanced\":true,\"dynamic\":false,\"info\":\"\",\"type\":\"str\",\"list\":false},\"chroma_server_ssl_enabled\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"value\":false,\"password\":false,\"name\":\"chroma_server_ssl_enabled\",\"display_name\":\"Chroma Server SSL Enabled\",\"advanced\":true,\"dynamic\":false,\"info\":\"\",\"type\":\"bool\",\"list\":false},\"collection_metadata\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"password\":false,\"name\":\"collection_metadata\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"dict\",\"list\":false},\"collection_name\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"value\":\"langchain\",\"password\":false,\"name\":\"collection_name\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"str\",\"list\":false},\"ids\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"password\":false,\"name\":\"ids\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"str\",\"list\":true},\"metadatas\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"password\":false,\"name\":\"metadatas\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"dict\",\"list\":true},\"persist\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"value\":false,\"password\":false,\"name\":\"persist\",\"display_name\":\"Persist\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"bool\",\"list\":false},\"persist_directory\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"password\":false,\"name\":\"persist_directory\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"str\",\"list\":false},\"search_kwargs\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"value\":\"{}\",\"password\":false,\"name\":\"search_kwargs\",\"advanced\":true,\"dynamic\":false,\"info\":\"\",\"type\":\"NestedDict\",\"list\":false},\"_type\":\"Chroma\"},\"description\":\"Create a Chroma vectorstore from a raw documents.\",\"base_classes\":[\"VectorStore\",\"Chroma\",\"BaseRetriever\",\"VectorStoreRetriever\"],\"display_name\":\"Chroma\",\"custom_fields\":{},\"output_types\":[],\"documentation\":\"https://python.langchain.com/docs/modules/data_connection/vectorstores/integrations/chroma\",\"beta\":false,\"error\":null},\"id\":\"Chroma-gVhy7\"},\"selected\":false,\"positionAbsolute\":{\"x\":2110.365967257855,\"y\":805.0149521868784},\"dragging\":false},{\"width\":384,\"height\":501,\"id\":\"RecursiveCharacterTextSplitter-1eaOX\",\"type\":\"genericNode\",\"position\":{\"x\":1409.2872773444874,\"y\":19.45456141103284},\"data\":{\"type\":\"RecursiveCharacterTextSplitter\",\"node\":{\"template\":{\"code\":{\"dynamic\":true,\"required\":true,\"placeholder\":\"\",\"show\":false,\"multiline\":true,\"value\":\"from typing import Optional\\nfrom langflow import CustomComponent\\nfrom langchain.schema import Document\\nfrom langflow.utils.util import build_loader_repr_from_documents\\n\\n\\nclass RecursiveCharacterTextSplitterComponent(CustomComponent):\\n display_name: str = \\\"Recursive Character Text Splitter\\\"\\n description: str = \\\"Split text into chunks of a specified length.\\\"\\n documentation: str = \\\"https://docs.langflow.org/components/text-splitters#recursivecharactertextsplitter\\\"\\n\\n def build_config(self):\\n return {\\n \\\"documents\\\": {\\n \\\"display_name\\\": \\\"Documents\\\",\\n \\\"info\\\": \\\"The documents to split.\\\",\\n },\\n \\\"separators\\\": {\\n \\\"display_name\\\": \\\"Separators\\\",\\n \\\"info\\\": 'The characters to split on.\\\\nIf left empty defaults to [\\\"\\\\\\\\n\\\\\\\\n\\\", \\\"\\\\\\\\n\\\", \\\" \\\", \\\"\\\"].',\\n \\\"is_list\\\": True,\\n },\\n \\\"chunk_size\\\": {\\n \\\"display_name\\\": \\\"Chunk Size\\\",\\n \\\"info\\\": \\\"The maximum length of each chunk.\\\",\\n \\\"field_type\\\": \\\"int\\\",\\n \\\"value\\\": 1000,\\n },\\n \\\"chunk_overlap\\\": {\\n \\\"display_name\\\": \\\"Chunk Overlap\\\",\\n \\\"info\\\": \\\"The amount of overlap between chunks.\\\",\\n \\\"field_type\\\": \\\"int\\\",\\n \\\"value\\\": 200,\\n },\\n \\\"code\\\": {\\\"show\\\": False},\\n }\\n\\n def build(\\n self,\\n documents: list[Document],\\n separators: Optional[list[str]] = None,\\n chunk_size: Optional[int] = 1000,\\n chunk_overlap: Optional[int] = 200,\\n ) -> list[Document]:\\n \\\"\\\"\\\"\\n Split text into chunks of a specified length.\\n\\n Args:\\n separators (list[str]): The characters to split on.\\n chunk_size (int): The maximum length of each chunk.\\n chunk_overlap (int): The amount of overlap between chunks.\\n length_function (function): The function to use to calculate the length of the text.\\n\\n Returns:\\n list[str]: The chunks of text.\\n \\\"\\\"\\\"\\n from langchain.text_splitter import RecursiveCharacterTextSplitter\\n\\n if separators == \\\"\\\":\\n separators = None\\n elif separators:\\n # check if the separators list has escaped characters\\n # if there are escaped characters, unescape them\\n separators = [x.encode().decode(\\\"unicode-escape\\\") for x in separators]\\n\\n # Make sure chunk_size and chunk_overlap are ints\\n if isinstance(chunk_size, str):\\n chunk_size = int(chunk_size)\\n if isinstance(chunk_overlap, str):\\n chunk_overlap = int(chunk_overlap)\\n splitter = RecursiveCharacterTextSplitter(\\n separators=separators,\\n chunk_size=chunk_size,\\n chunk_overlap=chunk_overlap,\\n )\\n\\n docs = splitter.split_documents(documents)\\n self.repr_value = build_loader_repr_from_documents(docs)\\n return docs\\n\",\"password\":false,\"name\":\"code\",\"advanced\":false,\"type\":\"code\",\"list\":false},\"_type\":\"CustomComponent\",\"chunk_overlap\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"value\":\"50\",\"password\":false,\"name\":\"chunk_overlap\",\"display_name\":\"Chunk Overlap\",\"advanced\":false,\"dynamic\":false,\"info\":\"The amount of overlap between chunks.\",\"type\":\"int\",\"list\":false},\"chunk_size\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"value\":\"400\",\"password\":false,\"name\":\"chunk_size\",\"display_name\":\"Chunk Size\",\"advanced\":false,\"dynamic\":false,\"info\":\"The maximum length of each chunk.\",\"type\":\"int\",\"list\":false},\"documents\":{\"required\":true,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"password\":false,\"name\":\"documents\",\"display_name\":\"Documents\",\"advanced\":false,\"dynamic\":false,\"info\":\"The documents to split.\",\"type\":\"Document\",\"list\":true},\"separators\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"password\":false,\"name\":\"separators\",\"display_name\":\"Separators\",\"advanced\":false,\"dynamic\":false,\"info\":\"The characters to split on.\\nIf left empty defaults to [\\\"\\\\n\\\\n\\\", \\\"\\\\n\\\", \\\" \\\", \\\"\\\"].\",\"type\":\"str\",\"list\":true,\"value\":[\" \"]}},\"description\":\"Split text into chunks of a specified length.\",\"base_classes\":[\"Document\"],\"display_name\":\"Recursive Character Text Splitter\",\"custom_fields\":{\"chunk_overlap\":null,\"chunk_size\":null,\"documents\":null,\"separators\":null},\"output_types\":[\"RecursiveCharacterTextSplitter\"],\"documentation\":\"https://docs.langflow.org/components/text-splitters#recursivecharactertextsplitter\",\"beta\":true,\"error\":null},\"id\":\"RecursiveCharacterTextSplitter-1eaOX\"},\"selected\":false,\"positionAbsolute\":{\"x\":1409.2872773444874,\"y\":19.45456141103284},\"dragging\":false},{\"width\":384,\"height\":367,\"id\":\"OpenAIEmbeddings-cduOO\",\"type\":\"genericNode\",\"position\":{\"x\":1405.1176670984544,\"y\":1029.459061269321},\"data\":{\"type\":\"OpenAIEmbeddings\",\"node\":{\"template\":{\"allowed_special\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"value\":[],\"password\":false,\"name\":\"allowed_special\",\"advanced\":true,\"dynamic\":false,\"info\":\"\",\"type\":\"Literal'all'\",\"list\":true},\"disallowed_special\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"value\":\"all\",\"password\":false,\"name\":\"disallowed_special\",\"advanced\":true,\"dynamic\":false,\"info\":\"\",\"type\":\"Literal'all'\",\"list\":true},\"chunk_size\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"value\":1000,\"password\":false,\"name\":\"chunk_size\",\"advanced\":true,\"dynamic\":false,\"info\":\"\",\"type\":\"int\",\"list\":false},\"client\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"password\":false,\"name\":\"client\",\"advanced\":true,\"dynamic\":false,\"info\":\"\",\"type\":\"Any\",\"list\":false},\"deployment\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"value\":\"text-embedding-ada-002\",\"password\":false,\"name\":\"deployment\",\"advanced\":true,\"dynamic\":false,\"info\":\"\",\"type\":\"str\",\"list\":false},\"embedding_ctx_length\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"value\":8191,\"password\":false,\"name\":\"embedding_ctx_length\",\"advanced\":true,\"dynamic\":false,\"info\":\"\",\"type\":\"int\",\"list\":false},\"headers\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":true,\"value\":\"{'Authorization': 'Bearer '}\",\"password\":false,\"name\":\"headers\",\"advanced\":true,\"dynamic\":false,\"info\":\"\",\"type\":\"Any\",\"list\":false},\"max_retries\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"value\":6,\"password\":false,\"name\":\"max_retries\",\"advanced\":true,\"dynamic\":false,\"info\":\"\",\"type\":\"int\",\"list\":false},\"model\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"value\":\"text-embedding-ada-002\",\"password\":false,\"name\":\"model\",\"advanced\":true,\"dynamic\":false,\"info\":\"\",\"type\":\"str\",\"list\":false},\"model_kwargs\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"password\":false,\"name\":\"model_kwargs\",\"advanced\":true,\"dynamic\":false,\"info\":\"\",\"type\":\"dict\",\"list\":false},\"openai_api_base\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"password\":true,\"name\":\"openai_api_base\",\"display_name\":\"OpenAI API Base\",\"advanced\":true,\"dynamic\":false,\"info\":\"\",\"type\":\"str\",\"list\":false,\"value\":\"\"},\"openai_api_key\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"value\":\"\",\"password\":true,\"name\":\"openai_api_key\",\"display_name\":\"OpenAI API Key\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"str\",\"list\":false},\"openai_api_type\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"password\":true,\"name\":\"openai_api_type\",\"display_name\":\"OpenAI API Type\",\"advanced\":true,\"dynamic\":false,\"info\":\"\",\"type\":\"str\",\"list\":false,\"value\":\"\"},\"openai_api_version\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"password\":true,\"name\":\"openai_api_version\",\"display_name\":\"OpenAI API Version\",\"advanced\":true,\"dynamic\":false,\"info\":\"\",\"type\":\"str\",\"list\":false,\"value\":\"\"},\"openai_organization\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"password\":false,\"name\":\"openai_organization\",\"display_name\":\"OpenAI Organization\",\"advanced\":true,\"dynamic\":false,\"info\":\"\",\"type\":\"str\",\"list\":false},\"openai_proxy\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"password\":false,\"name\":\"openai_proxy\",\"display_name\":\"OpenAI Proxy\",\"advanced\":true,\"dynamic\":false,\"info\":\"\",\"type\":\"str\",\"list\":false},\"request_timeout\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"password\":false,\"name\":\"request_timeout\",\"advanced\":true,\"dynamic\":false,\"info\":\"\",\"type\":\"float\",\"list\":false},\"show_progress_bar\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"value\":false,\"password\":false,\"name\":\"show_progress_bar\",\"advanced\":true,\"dynamic\":false,\"info\":\"\",\"type\":\"bool\",\"list\":false},\"skip_empty\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"value\":false,\"password\":false,\"name\":\"skip_empty\",\"advanced\":true,\"dynamic\":false,\"info\":\"\",\"type\":\"bool\",\"list\":false},\"tiktoken_model_name\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"password\":true,\"name\":\"tiktoken_model_name\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"str\",\"list\":false,\"value\":\"\"},\"_type\":\"OpenAIEmbeddings\"},\"description\":\"OpenAI embedding models.\",\"base_classes\":[\"Embeddings\",\"OpenAIEmbeddings\"],\"display_name\":\"OpenAIEmbeddings\",\"custom_fields\":{},\"output_types\":[],\"documentation\":\"https://python.langchain.com/docs/modules/data_connection/text_embedding/integrations/openai\",\"beta\":false,\"error\":null},\"id\":\"OpenAIEmbeddings-cduOO\"},\"selected\":false,\"positionAbsolute\":{\"x\":1405.1176670984544,\"y\":1029.459061269321}},{\"width\":384,\"height\":339,\"id\":\"RetrievalQA-4PmTB\",\"type\":\"genericNode\",\"position\":{\"x\":2711.7786966415715,\"y\":709.4450828605463},\"data\":{\"type\":\"RetrievalQA\",\"node\":{\"template\":{\"callbacks\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"password\":false,\"name\":\"callbacks\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"langchain.callbacks.base.BaseCallbackHandler\",\"list\":true},\"combine_documents_chain\":{\"required\":true,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"password\":false,\"name\":\"combine_documents_chain\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"BaseCombineDocumentsChain\",\"list\":false},\"memory\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"password\":false,\"name\":\"memory\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"BaseMemory\",\"list\":false},\"retriever\":{\"required\":true,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"password\":false,\"name\":\"retriever\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"BaseRetriever\",\"list\":false},\"input_key\":{\"required\":true,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"value\":\"query\",\"password\":false,\"name\":\"input_key\",\"advanced\":true,\"dynamic\":false,\"info\":\"\",\"type\":\"str\",\"list\":false},\"metadata\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"password\":false,\"name\":\"metadata\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"dict\",\"list\":false},\"output_key\":{\"required\":true,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"value\":\"result\",\"password\":false,\"name\":\"output_key\",\"advanced\":true,\"dynamic\":false,\"info\":\"\",\"type\":\"str\",\"list\":false},\"return_source_documents\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"value\":true,\"password\":false,\"name\":\"return_source_documents\",\"advanced\":true,\"dynamic\":false,\"info\":\"\",\"type\":\"bool\",\"list\":false},\"tags\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"password\":false,\"name\":\"tags\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"str\",\"list\":true},\"verbose\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"password\":false,\"name\":\"verbose\",\"advanced\":true,\"dynamic\":false,\"info\":\"\",\"type\":\"bool\",\"list\":false},\"_type\":\"RetrievalQA\"},\"description\":\"Chain for question-answering against an index.\",\"base_classes\":[\"RetrievalQA\",\"Chain\",\"BaseRetrievalQA\",\"function\"],\"display_name\":\"RetrievalQA\",\"custom_fields\":{},\"output_types\":[],\"documentation\":\"https://python.langchain.com/docs/modules/chains/popular/vector_db_qa\",\"beta\":false,\"error\":null},\"id\":\"RetrievalQA-4PmTB\"},\"selected\":false,\"positionAbsolute\":{\"x\":2711.7786966415715,\"y\":709.4450828605463}},{\"width\":384,\"height\":333,\"id\":\"CombineDocsChain-yk0JF\",\"type\":\"genericNode\",\"position\":{\"x\":2125.6202053356537,\"y\":199.07708924409633},\"data\":{\"type\":\"CombineDocsChain\",\"node\":{\"template\":{\"llm\":{\"required\":true,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"password\":false,\"name\":\"llm\",\"display_name\":\"LLM\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"BaseLanguageModel\",\"list\":false},\"chain_type\":{\"required\":true,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"value\":\"stuff\",\"password\":false,\"options\":[\"stuff\",\"map_reduce\",\"map_rerank\",\"refine\"],\"name\":\"chain_type\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"str\",\"list\":true},\"_type\":\"load_qa_chain\"},\"description\":\"Load question answering chain.\",\"base_classes\":[\"BaseCombineDocumentsChain\",\"function\"],\"display_name\":\"CombineDocsChain\",\"custom_fields\":{},\"output_types\":[],\"documentation\":\"\",\"beta\":false,\"error\":null},\"id\":\"CombineDocsChain-yk0JF\"},\"selected\":false,\"positionAbsolute\":{\"x\":2125.6202053356537,\"y\":199.07708924409633},\"dragging\":false},{\"width\":384,\"height\":417,\"id\":\"CustomComponent-y6Wg0\",\"type\":\"genericNode\",\"position\":{\"x\":39.400034102832365,\"y\":-499.03551482195707},\"data\":{\"type\":\"CustomComponent\",\"node\":{\"template\":{\"code\":{\"dynamic\":true,\"required\":true,\"placeholder\":\"\",\"show\":true,\"multiline\":true,\"value\":\"from langflow import CustomComponent\\n\\nimport subprocess\\n\\nfrom langchain.llms.base import BaseLLM\\nfrom langchain.chains import LLMChain\\nfrom langchain.prompts import PromptTemplate\\nfrom langchain.schema import Document\\n\\nfrom typing import List\\n\\n\\nclass YourComponent(CustomComponent):\\n display_name: str = \\\"PIP Install\\\"\\n description: str = \\\"Create any custom component you want!\\\"\\n\\n def build(self, libs: List[str]) -> Document:\\n def install_package(package_name):\\n subprocess.check_call([\\\"pip\\\", \\\"install\\\", package_name])\\n for lib in libs:\\n install_package(lib)\\n return \\\"\\\"\",\"password\":false,\"name\":\"code\",\"advanced\":false,\"type\":\"code\",\"list\":false},\"_type\":\"CustomComponent\",\"libs\":{\"required\":true,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"password\":false,\"name\":\"libs\",\"display_name\":\"libs\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"str\",\"list\":true,\"value\":[\"requests\",\"pytube\"]}},\"description\":\"Create any custom component you want!\",\"base_classes\":[\"Document\"],\"display_name\":\"PIP Install\",\"custom_fields\":{\"libs\":null},\"output_types\":[],\"documentation\":\"\",\"beta\":true,\"error\":null},\"id\":\"CustomComponent-y6Wg0\"},\"selected\":false,\"dragging\":false,\"positionAbsolute\":{\"x\":39.400034102832365,\"y\":-499.03551482195707}}],\"edges\":[{\"source\":\"ChatOpenAI-q61Y2\",\"sourceHandle\":\"{œbaseClassesœ:[œChatOpenAIœ,œBaseChatModelœ,œBaseLanguageModelœ,œBaseLLMœ],œdataTypeœ:œChatOpenAIœ,œidœ:œChatOpenAI-q61Y2œ}\",\"target\":\"CustomComponent-h0NSI\",\"targetHandle\":\"{œfieldNameœ:œllmœ,œidœ:œCustomComponent-h0NSIœ,œinputTypesœ:null,œtypeœ:œBaseLLMœ}\",\"style\":{\"stroke\":\"#555\"},\"className\":\"stroke-gray-900 stroke-connection\",\"animated\":false,\"id\":\"reactflow__edge-ChatOpenAI-q61Y2{œbaseClassesœ:[œChatOpenAIœ,œBaseChatModelœ,œBaseLanguageModelœ,œBaseLLMœ],œdataTypeœ:œChatOpenAIœ,œidœ:œChatOpenAI-q61Y2œ}-CustomComponent-h0NSI{œfieldNameœ:œllmœ,œidœ:œCustomComponent-h0NSIœ,œinputTypesœ:null,œtypeœ:œBaseLLMœ}\",\"data\":{\"sourceHandle\":{\"baseClasses\":[\"ChatOpenAI\",\"BaseChatModel\",\"BaseLanguageModel\",\"BaseLLM\"],\"dataType\":\"ChatOpenAI\",\"id\":\"ChatOpenAI-q61Y2\"},\"targetHandle\":{\"fieldName\":\"llm\",\"id\":\"CustomComponent-h0NSI\",\"inputTypes\":null,\"type\":\"BaseLLM\"}}},{\"source\":\"CustomComponent-y6Wg0\",\"sourceHandle\":\"{œbaseClassesœ:[œDocumentœ],œdataTypeœ:œCustomComponentœ,œidœ:œCustomComponent-y6Wg0œ}\",\"target\":\"CustomComponent-h0NSI\",\"targetHandle\":\"{œfieldNameœ:œdependenciesœ,œidœ:œCustomComponent-h0NSIœ,œinputTypesœ:null,œtypeœ:œDocumentœ}\",\"style\":{\"stroke\":\"#555\"},\"className\":\"stroke-gray-900 stroke-connection\",\"animated\":false,\"id\":\"reactflow__edge-CustomComponent-y6Wg0{œbaseClassesœ:[œDocumentœ],œdataTypeœ:œCustomComponentœ,œidœ:œCustomComponent-y6Wg0œ}-CustomComponent-h0NSI{œfieldNameœ:œdependenciesœ,œidœ:œCustomComponent-h0NSIœ,œinputTypesœ:null,œtypeœ:œDocumentœ}\",\"data\":{\"sourceHandle\":{\"baseClasses\":[\"Document\"],\"dataType\":\"CustomComponent\",\"id\":\"CustomComponent-y6Wg0\"},\"targetHandle\":{\"fieldName\":\"dependencies\",\"id\":\"CustomComponent-h0NSI\",\"inputTypes\":null,\"type\":\"Document\"}}},{\"source\":\"CustomComponent-h0NSI\",\"sourceHandle\":\"{œbaseClassesœ:[œDocumentœ],œdataTypeœ:œCustomComponentœ,œidœ:œCustomComponent-h0NSIœ}\",\"target\":\"RecursiveCharacterTextSplitter-1eaOX\",\"targetHandle\":\"{œfieldNameœ:œdocumentsœ,œidœ:œRecursiveCharacterTextSplitter-1eaOXœ,œinputTypesœ:null,œtypeœ:œDocumentœ}\",\"style\":{\"stroke\":\"#555\"},\"className\":\"stroke-gray-900 stroke-connection\",\"animated\":false,\"id\":\"reactflow__edge-CustomComponent-h0NSI{œbaseClassesœ:[œDocumentœ],œdataTypeœ:œCustomComponentœ,œidœ:œCustomComponent-h0NSIœ}-RecursiveCharacterTextSplitter-1eaOX{œfieldNameœ:œdocumentsœ,œidœ:œRecursiveCharacterTextSplitter-1eaOXœ,œinputTypesœ:null,œtypeœ:œDocumentœ}\",\"data\":{\"sourceHandle\":{\"baseClasses\":[\"Document\"],\"dataType\":\"CustomComponent\",\"id\":\"CustomComponent-h0NSI\"},\"targetHandle\":{\"fieldName\":\"documents\",\"id\":\"RecursiveCharacterTextSplitter-1eaOX\",\"inputTypes\":null,\"type\":\"Document\"}},\"selected\":false},{\"source\":\"OpenAIEmbeddings-cduOO\",\"sourceHandle\":\"{œbaseClassesœ:[œEmbeddingsœ,œOpenAIEmbeddingsœ],œdataTypeœ:œOpenAIEmbeddingsœ,œidœ:œOpenAIEmbeddings-cduOOœ}\",\"target\":\"Chroma-gVhy7\",\"targetHandle\":\"{œfieldNameœ:œembeddingœ,œidœ:œChroma-gVhy7œ,œinputTypesœ:null,œtypeœ:œEmbeddingsœ}\",\"style\":{\"stroke\":\"#555\"},\"className\":\"stroke-gray-900 stroke-connection\",\"animated\":false,\"id\":\"reactflow__edge-OpenAIEmbeddings-cduOO{œbaseClassesœ:[œEmbeddingsœ,œOpenAIEmbeddingsœ],œdataTypeœ:œOpenAIEmbeddingsœ,œidœ:œOpenAIEmbeddings-cduOOœ}-Chroma-gVhy7{œfieldNameœ:œembeddingœ,œidœ:œChroma-gVhy7œ,œinputTypesœ:null,œtypeœ:œEmbeddingsœ}\",\"data\":{\"sourceHandle\":{\"baseClasses\":[\"Embeddings\",\"OpenAIEmbeddings\"],\"dataType\":\"OpenAIEmbeddings\",\"id\":\"OpenAIEmbeddings-cduOO\"},\"targetHandle\":{\"fieldName\":\"embedding\",\"id\":\"Chroma-gVhy7\",\"inputTypes\":null,\"type\":\"Embeddings\"}}},{\"source\":\"RecursiveCharacterTextSplitter-1eaOX\",\"sourceHandle\":\"{œbaseClassesœ:[œDocumentœ],œdataTypeœ:œRecursiveCharacterTextSplitterœ,œidœ:œRecursiveCharacterTextSplitter-1eaOXœ}\",\"target\":\"Chroma-gVhy7\",\"targetHandle\":\"{œfieldNameœ:œdocumentsœ,œidœ:œChroma-gVhy7œ,œinputTypesœ:null,œtypeœ:œDocumentœ}\",\"style\":{\"stroke\":\"#555\"},\"className\":\"stroke-gray-900 stroke-connection\",\"animated\":false,\"id\":\"reactflow__edge-RecursiveCharacterTextSplitter-1eaOX{œbaseClassesœ:[œDocumentœ],œdataTypeœ:œRecursiveCharacterTextSplitterœ,œidœ:œRecursiveCharacterTextSplitter-1eaOXœ}-Chroma-gVhy7{œfieldNameœ:œdocumentsœ,œidœ:œChroma-gVhy7œ,œinputTypesœ:null,œtypeœ:œDocumentœ}\",\"data\":{\"sourceHandle\":{\"baseClasses\":[\"Document\"],\"dataType\":\"RecursiveCharacterTextSplitter\",\"id\":\"RecursiveCharacterTextSplitter-1eaOX\"},\"targetHandle\":{\"fieldName\":\"documents\",\"id\":\"Chroma-gVhy7\",\"inputTypes\":null,\"type\":\"Document\"}}},{\"source\":\"ChatOpenAI-q61Y2\",\"sourceHandle\":\"{œbaseClassesœ:[œChatOpenAIœ,œBaseChatModelœ,œBaseLanguageModelœ,œBaseLLMœ],œdataTypeœ:œChatOpenAIœ,œidœ:œChatOpenAI-q61Y2œ}\",\"target\":\"CombineDocsChain-yk0JF\",\"targetHandle\":\"{œfieldNameœ:œllmœ,œidœ:œCombineDocsChain-yk0JFœ,œinputTypesœ:null,œtypeœ:œBaseLanguageModelœ}\",\"style\":{\"stroke\":\"#555\"},\"className\":\"stroke-gray-900 stroke-connection\",\"animated\":false,\"id\":\"reactflow__edge-ChatOpenAI-q61Y2{œbaseClassesœ:[œChatOpenAIœ,œBaseChatModelœ,œBaseLanguageModelœ,œBaseLLMœ],œdataTypeœ:œChatOpenAIœ,œidœ:œChatOpenAI-q61Y2œ}-CombineDocsChain-yk0JF{œfieldNameœ:œllmœ,œidœ:œCombineDocsChain-yk0JFœ,œinputTypesœ:null,œtypeœ:œBaseLanguageModelœ}\",\"data\":{\"sourceHandle\":{\"baseClasses\":[\"ChatOpenAI\",\"BaseChatModel\",\"BaseLanguageModel\",\"BaseLLM\"],\"dataType\":\"ChatOpenAI\",\"id\":\"ChatOpenAI-q61Y2\"},\"targetHandle\":{\"fieldName\":\"llm\",\"id\":\"CombineDocsChain-yk0JF\",\"inputTypes\":null,\"type\":\"BaseLanguageModel\"}}},{\"source\":\"CombineDocsChain-yk0JF\",\"sourceHandle\":\"{œbaseClassesœ:[œBaseCombineDocumentsChainœ,œfunctionœ],œdataTypeœ:œCombineDocsChainœ,œidœ:œCombineDocsChain-yk0JFœ}\",\"target\":\"RetrievalQA-4PmTB\",\"targetHandle\":\"{œfieldNameœ:œcombine_documents_chainœ,œidœ:œRetrievalQA-4PmTBœ,œinputTypesœ:null,œtypeœ:œBaseCombineDocumentsChainœ}\",\"style\":{\"stroke\":\"#555\"},\"className\":\"stroke-gray-900 stroke-connection\",\"animated\":false,\"id\":\"reactflow__edge-CombineDocsChain-yk0JF{œbaseClassesœ:[œBaseCombineDocumentsChainœ,œfunctionœ],œdataTypeœ:œCombineDocsChainœ,œidœ:œCombineDocsChain-yk0JFœ}-RetrievalQA-4PmTB{œfieldNameœ:œcombine_documents_chainœ,œidœ:œRetrievalQA-4PmTBœ,œinputTypesœ:null,œtypeœ:œBaseCombineDocumentsChainœ}\",\"data\":{\"sourceHandle\":{\"baseClasses\":[\"BaseCombineDocumentsChain\",\"function\"],\"dataType\":\"CombineDocsChain\",\"id\":\"CombineDocsChain-yk0JF\"},\"targetHandle\":{\"fieldName\":\"combine_documents_chain\",\"id\":\"RetrievalQA-4PmTB\",\"inputTypes\":null,\"type\":\"BaseCombineDocumentsChain\"}}},{\"source\":\"Chroma-gVhy7\",\"sourceHandle\":\"{œbaseClassesœ:[œVectorStoreœ,œChromaœ,œBaseRetrieverœ,œVectorStoreRetrieverœ],œdataTypeœ:œChromaœ,œidœ:œChroma-gVhy7œ}\",\"target\":\"RetrievalQA-4PmTB\",\"targetHandle\":\"{œfieldNameœ:œretrieverœ,œidœ:œRetrievalQA-4PmTBœ,œinputTypesœ:null,œtypeœ:œBaseRetrieverœ}\",\"style\":{\"stroke\":\"#555\"},\"className\":\"stroke-gray-900 stroke-connection\",\"animated\":false,\"id\":\"reactflow__edge-Chroma-gVhy7{œbaseClassesœ:[œVectorStoreœ,œChromaœ,œBaseRetrieverœ,œVectorStoreRetrieverœ],œdataTypeœ:œChromaœ,œidœ:œChroma-gVhy7œ}-RetrievalQA-4PmTB{œfieldNameœ:œretrieverœ,œidœ:œRetrievalQA-4PmTBœ,œinputTypesœ:null,œtypeœ:œBaseRetrieverœ}\",\"data\":{\"sourceHandle\":{\"baseClasses\":[\"VectorStore\",\"Chroma\",\"BaseRetriever\",\"VectorStoreRetriever\"],\"dataType\":\"Chroma\",\"id\":\"Chroma-gVhy7\"},\"targetHandle\":{\"fieldName\":\"retriever\",\"id\":\"RetrievalQA-4PmTB\",\"inputTypes\":null,\"type\":\"BaseRetriever\"}}}],\"viewport\":{\"x\":189.54413265004274,\"y\":259.89949657174975,\"zoom\":0.291027508374689}},\"is_component\":false,\"updated_at\":\"2023-12-04T22:59:08.830269\",\"folder\":null,\"id\":\"bc7eb94b-6fc6-49cb-9b19-35347ba51afa\",\"user_id\":\"d253bfba-6368-44dc-85f7-0d6da9e45968\"},{\"name\":\"Web Scraper - Content & Links\",\"description\":\"Fetch and parse text and links from a given URL.\",\"data\":{\"nodes\":[{\"width\":384,\"height\":338,\"id\":\"LLMChain-H7PBy\",\"type\":\"genericNode\",\"position\":{\"x\":1682.494010974207,\"y\":275.5701585623092},\"data\":{\"type\":\"LLMChain\",\"node\":{\"template\":{\"code\":{\"dynamic\":true,\"required\":true,\"placeholder\":\"\",\"show\":false,\"multiline\":true,\"value\":\"from typing import Callable, Optional, Union\\n\\nfrom langchain.chains import LLMChain\\n\\nfrom langflow import CustomComponent\\nfrom langflow.field_typing import (\\n BaseLanguageModel,\\n BaseMemory,\\n BasePromptTemplate,\\n Chain,\\n)\\n\\n\\nclass LLMChainComponent(CustomComponent):\\n display_name = \\\"LLMChain\\\"\\n description = \\\"Chain to run queries against LLMs\\\"\\n\\n def build_config(self):\\n return {\\n \\\"prompt\\\": {\\\"display_name\\\": \\\"Prompt\\\"},\\n \\\"llm\\\": {\\\"display_name\\\": \\\"LLM\\\"},\\n \\\"memory\\\": {\\\"display_name\\\": \\\"Memory\\\"},\\n \\\"code\\\": {\\\"show\\\": False},\\n }\\n\\n def build(\\n self,\\n prompt: BasePromptTemplate,\\n llm: BaseLanguageModel,\\n memory: Optional[BaseMemory] = None,\\n ) -> Union[Chain, Callable]:\\n return LLMChain(prompt=prompt, llm=llm, memory=memory)\\n\",\"password\":false,\"name\":\"code\",\"advanced\":false,\"type\":\"code\",\"list\":false},\"_type\":\"CustomComponent\",\"llm\":{\"required\":true,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"password\":false,\"name\":\"llm\",\"display_name\":\"LLM\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"BaseLanguageModel\",\"list\":false},\"memory\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"password\":false,\"name\":\"memory\",\"display_name\":\"Memory\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"BaseMemory\",\"list\":false},\"prompt\":{\"required\":true,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"password\":false,\"name\":\"prompt\",\"display_name\":\"Prompt\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"BasePromptTemplate\",\"list\":false}},\"description\":\"Chain to run queries against LLMs\",\"base_classes\":[\"Chain\",\"Callable\"],\"display_name\":\"LLMChain\",\"custom_fields\":{\"llm\":null,\"memory\":null,\"prompt\":null},\"output_types\":[\"LLMChain\"],\"documentation\":\"\",\"beta\":true,\"error\":null},\"id\":\"LLMChain-H7PBy\"},\"selected\":false,\"positionAbsolute\":{\"x\":1682.494010974207,\"y\":275.5701585623092},\"dragging\":false},{\"width\":384,\"height\":626,\"id\":\"ChatOpenAI-VSAdc\",\"type\":\"genericNode\",\"position\":{\"x\":1002.4263147022411,\"y\":-198.2305006886859},\"data\":{\"type\":\"ChatOpenAI\",\"node\":{\"template\":{\"callbacks\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"password\":false,\"name\":\"callbacks\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"langchain_core.callbacks.base.BaseCallbackHandler\",\"list\":true},\"async_client\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"password\":false,\"name\":\"async_client\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"Any\",\"list\":false},\"cache\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"password\":false,\"name\":\"cache\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"bool\",\"list\":false},\"client\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"password\":false,\"name\":\"client\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"Any\",\"list\":false},\"default_headers\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"password\":false,\"name\":\"default_headers\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"dict\",\"list\":false},\"default_query\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"password\":false,\"name\":\"default_query\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"dict\",\"list\":false},\"http_client\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"password\":false,\"name\":\"http_client\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"Any\",\"list\":false},\"max_retries\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"value\":2,\"password\":false,\"name\":\"max_retries\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"int\",\"list\":false},\"max_tokens\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"password\":true,\"name\":\"max_tokens\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"int\",\"list\":false,\"value\":\"\"},\"metadata\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"password\":false,\"name\":\"metadata\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"dict\",\"list\":false},\"model_kwargs\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"password\":false,\"name\":\"model_kwargs\",\"advanced\":true,\"dynamic\":false,\"info\":\"\",\"type\":\"dict\",\"list\":false},\"model_name\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"value\":\"gpt-4-1106-preview\",\"password\":false,\"options\":[\"gpt-4-1106-preview\",\"gpt-4\",\"gpt-4-32k\",\"gpt-3.5-turbo\",\"gpt-3.5-turbo-16k\"],\"name\":\"model_name\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"str\",\"list\":true},\"n\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"value\":1,\"password\":false,\"name\":\"n\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"int\",\"list\":false},\"openai_api_base\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"password\":false,\"name\":\"openai_api_base\",\"display_name\":\"OpenAI API Base\",\"advanced\":false,\"dynamic\":false,\"info\":\"\\nThe base URL of the OpenAI API. Defaults to https://api.openai.com/v1.\\n\\nYou can change this to use other APIs like JinaChat, LocalAI and Prem.\\n\",\"type\":\"str\",\"list\":false},\"openai_api_key\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"value\":\"sk-...\",\"password\":true,\"name\":\"openai_api_key\",\"display_name\":\"OpenAI API Key\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"str\",\"list\":false},\"openai_organization\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"password\":false,\"name\":\"openai_organization\",\"display_name\":\"OpenAI Organization\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"str\",\"list\":false},\"openai_proxy\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"password\":false,\"name\":\"openai_proxy\",\"display_name\":\"OpenAI Proxy\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"str\",\"list\":false},\"request_timeout\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"password\":false,\"name\":\"request_timeout\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"float\",\"list\":false},\"streaming\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"value\":false,\"password\":false,\"name\":\"streaming\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"bool\",\"list\":false},\"tags\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"password\":false,\"name\":\"tags\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"str\",\"list\":true},\"temperature\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"value\":\"0.1\",\"password\":false,\"name\":\"temperature\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"float\",\"list\":false},\"tiktoken_model_name\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"password\":false,\"name\":\"tiktoken_model_name\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"str\",\"list\":false},\"verbose\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"value\":false,\"password\":false,\"name\":\"verbose\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"bool\",\"list\":false},\"_type\":\"ChatOpenAI\"},\"description\":\"`OpenAI` Chat large language models API.\",\"base_classes\":[\"BaseLanguageModel\",\"ChatOpenAI\",\"BaseChatModel\",\"BaseLLM\"],\"display_name\":\"ChatOpenAI\",\"custom_fields\":{},\"output_types\":[],\"documentation\":\"https://python.langchain.com/docs/modules/model_io/models/chat/integrations/openai\",\"beta\":false,\"error\":null},\"id\":\"ChatOpenAI-VSAdc\"},\"selected\":false,\"dragging\":false,\"positionAbsolute\":{\"x\":1002.4263147022411,\"y\":-198.2305006886859}},{\"width\":384,\"height\":374,\"data\":{\"id\":\"GroupNode-WXPMk\",\"type\":\"PromptTemplate\",\"node\":{\"output_types\":[],\"display_name\":\"Web Scraper\",\"documentation\":\"\",\"base_classes\":[\"StringPromptTemplate\",\"BasePromptTemplate\",\"PromptTemplate\"],\"description\":\"Fetch and parse text and links from a given URL.\",\"template\":{\"code_CustomComponent-f6nOg\":{\"dynamic\":true,\"required\":true,\"placeholder\":\"\",\"show\":false,\"multiline\":true,\"value\":\"from langflow import CustomComponent\\nfrom langflow.field_typing import Data\\nimport html2text\\n\\nclass ConvertHTMLToMarkdown(CustomComponent):\\n display_name: str = \\\"HTML to Markdown\\\"\\n description: str = \\\"Converts HTML content to Markdown format.\\\"\\n\\n def build(self, html_content: Data, ignore_links: bool = False) -> str:\\n converter = html2text.HTML2Text()\\n converter.ignore_links = ignore_links\\n markdown_text = converter.handle(html_content)\\n self.status = markdown_text\\n return markdown_text\\n\",\"password\":false,\"name\":\"code\",\"advanced\":false,\"type\":\"code\",\"list\":false,\"proxy\":{\"id\":\"CustomComponent-f6nOg\",\"field\":\"code\"},\"display_name\":\"Code\"},\"ignore_links_CustomComponent-f6nOg\":{\"required\":true,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"value\":false,\"password\":false,\"name\":\"ignore_links\",\"display_name\":\"ignore_links\",\"advanced\":true,\"dynamic\":false,\"info\":\"\",\"type\":\"bool\",\"list\":false,\"proxy\":{\"id\":\"CustomComponent-f6nOg\",\"field\":\"ignore_links\"}},\"code_CustomComponent-FGzJJ\":{\"dynamic\":true,\"required\":true,\"placeholder\":\"\",\"show\":false,\"multiline\":true,\"value\":\"from langflow import CustomComponent\\nfrom langflow.field_typing import Data\\nimport requests\\n\\nclass FetchHTMLContent(CustomComponent):\\n display_name: str = \\\"Fetch HTML\\\"\\n description: str = \\\"Fetches HTML content from a specified URL.\\\"\\n \\n def build_config(self):\\n return {\\\"url\\\": {\\\"input_types\\\": [\\\"Data\\\", \\\"str\\\"]}} \\n\\n def build(self, url: str) -> Data:\\n response = requests.get(url)\\n self.status = str(response) + \\\"\\\\n\\\\n\\\" + response.text\\n return response.text\\n\",\"password\":false,\"name\":\"code\",\"advanced\":false,\"type\":\"code\",\"list\":false,\"proxy\":{\"id\":\"CustomComponent-FGzJJ\",\"field\":\"code\"},\"display_name\":\"Code\"},\"code_CustomComponent-0XtUN\":{\"dynamic\":true,\"required\":true,\"placeholder\":\"\",\"show\":false,\"multiline\":true,\"value\":\"from bs4 import BeautifulSoup\\nfrom langflow import CustomComponent\\nfrom langflow.field_typing import Data\\n\\nclass ParseHTMLContent(CustomComponent):\\n display_name: str = \\\"Parse HTML\\\"\\n description: str = \\\"Parses HTML content using Beautiful Soup.\\\"\\n\\n def build(self, html_content: Data) -> Data:\\n soup = BeautifulSoup(html_content, 'html.parser')\\n self.status = soup\\n return soup\\n\",\"password\":false,\"name\":\"code\",\"advanced\":false,\"type\":\"code\",\"list\":false,\"proxy\":{\"id\":\"CustomComponent-0XtUN\",\"field\":\"code\"},\"display_name\":\"Code\"},\"code_CustomComponent-ODIcp\":{\"dynamic\":true,\"required\":true,\"placeholder\":\"\",\"show\":false,\"multiline\":true,\"value\":\"from langflow import CustomComponent\\nfrom langflow.field_typing import Data\\n\\nclass ExtractHyperlinks(CustomComponent):\\n display_name: str = \\\"Extract Hyperlinks\\\"\\n description: str = \\\"Extracts hyperlinks from parsed HTML content.\\\"\\n\\n def build(self, soup: Data) -> list:\\n links = [link.get('href') for link in soup.find_all('a')]\\n self.status = links\\n return links\\n\",\"password\":false,\"name\":\"code\",\"advanced\":false,\"type\":\"code\",\"list\":false,\"proxy\":{\"id\":\"CustomComponent-ODIcp\",\"field\":\"code\"},\"display_name\":\"Code\"},\"output_parser_PromptTemplate-H9Udy\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"password\":false,\"name\":\"output_parser\",\"advanced\":false,\"dynamic\":true,\"info\":\"\",\"type\":\"BaseOutputParser\",\"list\":false,\"proxy\":{\"id\":\"PromptTemplate-H9Udy\",\"field\":\"output_parser\"},\"display_name\":\"Output Parser\"},\"input_types_PromptTemplate-H9Udy\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"password\":false,\"name\":\"input_types\",\"advanced\":true,\"dynamic\":true,\"info\":\"\",\"type\":\"dict\",\"list\":false,\"proxy\":{\"id\":\"PromptTemplate-H9Udy\",\"field\":\"input_types\"},\"display_name\":\"Input Types\"},\"input_variables_PromptTemplate-H9Udy\":{\"required\":true,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"password\":false,\"name\":\"input_variables\",\"advanced\":false,\"dynamic\":true,\"info\":\"\",\"type\":\"str\",\"list\":true,\"value\":[\"url\",\"html_markdown\",\"html_links\",\"query\"],\"proxy\":{\"id\":\"PromptTemplate-H9Udy\",\"field\":\"input_variables\"},\"display_name\":\"Input Variables\"},\"partial_variables_PromptTemplate-H9Udy\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"password\":false,\"name\":\"partial_variables\",\"advanced\":true,\"dynamic\":true,\"info\":\"\",\"type\":\"dict\",\"list\":false,\"proxy\":{\"id\":\"PromptTemplate-H9Udy\",\"field\":\"partial_variables\"},\"display_name\":\"Partial Variables\"},\"template_PromptTemplate-H9Udy\":{\"required\":true,\"placeholder\":\"\",\"show\":true,\"multiline\":true,\"password\":false,\"name\":\"template\",\"advanced\":true,\"dynamic\":true,\"info\":\"\",\"type\":\"prompt\",\"list\":false,\"value\":\"Below is the HTML content (as markdown) and hyperlinks extracted from {url}\\n\\n---\\n\\nContent:\\n\\n{html_markdown}\\n\\n---\\n\\nLinks:\\n\\n{html_links}\\n\\n---\\n\\nAnswer the user query as best as possible.\\n\\nUser query:\\n\\n{query}\\n\\nAnswer:\\n\",\"proxy\":{\"id\":\"PromptTemplate-H9Udy\",\"field\":\"template\"},\"display_name\":\"Template\"},\"template_format_PromptTemplate-H9Udy\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"value\":\"f-string\",\"password\":false,\"name\":\"template_format\",\"advanced\":true,\"dynamic\":true,\"info\":\"\",\"type\":\"str\",\"list\":false,\"proxy\":{\"id\":\"PromptTemplate-H9Udy\",\"field\":\"template_format\"},\"display_name\":\"Template Format\"},\"validate_template_PromptTemplate-H9Udy\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"value\":false,\"password\":false,\"name\":\"validate_template\",\"advanced\":true,\"dynamic\":true,\"info\":\"\",\"type\":\"bool\",\"list\":false,\"proxy\":{\"id\":\"PromptTemplate-H9Udy\",\"field\":\"validate_template\"},\"display_name\":\"Validate Template\"},\"query_PromptTemplate-H9Udy\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":true,\"value\":\"give me links\",\"password\":false,\"name\":\"query\",\"display_name\":\"query\",\"advanced\":false,\"input_types\":[\"Document\",\"BaseOutputParser\"],\"dynamic\":false,\"info\":\"\",\"type\":\"str\",\"list\":false,\"proxy\":{\"id\":\"PromptTemplate-H9Udy\",\"field\":\"query\"}},\"code_CustomComponent-OACE0\":{\"dynamic\":true,\"required\":true,\"placeholder\":\"\",\"show\":false,\"multiline\":true,\"value\":\"from langflow import CustomComponent\\nfrom langflow.field_typing import Data\\nimport requests\\n\\nclass FetchHTMLContent(CustomComponent):\\n display_name: str = \\\"URL Input\\\"\\n\\n def build(self, url: str) -> str:\\n return url\\n\",\"password\":false,\"name\":\"code\",\"advanced\":false,\"type\":\"code\",\"list\":false,\"proxy\":{\"id\":\"CustomComponent-OACE0\",\"field\":\"code\"},\"display_name\":\"Code\"},\"url_CustomComponent-OACE0\":{\"required\":true,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"password\":false,\"name\":\"url\",\"display_name\":\"url\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"str\",\"list\":false,\"proxy\":{\"id\":\"CustomComponent-OACE0\",\"field\":\"url\"},\"value\":\"https://paperswithcode.com/\"},\"code_CustomComponent-whsQ5\":{\"dynamic\":true,\"required\":true,\"placeholder\":\"\",\"show\":false,\"multiline\":true,\"value\":\"from langflow import CustomComponent\\n\\nclass ListToMarkdownBullets(CustomComponent):\\n display_name: str = \\\"List to Bullets\\\"\\n description: str = \\\"Converts a Python list into Markdown bullet points.\\\"\\n\\n def build(self, items: list) -> str:\\n markdown_bullets = '\\\\n'.join(f'* {item}' for item in items)\\n return markdown_bullets\\n\",\"password\":false,\"name\":\"code\",\"advanced\":false,\"type\":\"code\",\"list\":false,\"proxy\":{\"id\":\"CustomComponent-whsQ5\",\"field\":\"code\"},\"display_name\":\"Code\"}},\"flow\":{\"data\":{\"nodes\":[{\"width\":384,\"height\":405,\"id\":\"CustomComponent-f6nOg\",\"type\":\"genericNode\",\"position\":{\"x\":665.2835942536854,\"y\":-371.7823429271119},\"data\":{\"type\":\"CustomComponent\",\"node\":{\"template\":{\"code\":{\"dynamic\":true,\"required\":true,\"placeholder\":\"\",\"show\":true,\"multiline\":true,\"value\":\"from langflow import CustomComponent\\nfrom langflow.field_typing import Data\\nimport html2text\\n\\nclass ConvertHTMLToMarkdown(CustomComponent):\\n display_name: str = \\\"HTML to Markdown\\\"\\n description: str = \\\"Converts HTML content to Markdown format.\\\"\\n\\n def build(self, html_content: Data, ignore_links: bool = False) -> str:\\n converter = html2text.HTML2Text()\\n converter.ignore_links = ignore_links\\n markdown_text = converter.handle(html_content)\\n self.status = markdown_text\\n return markdown_text\\n\",\"password\":false,\"name\":\"code\",\"advanced\":false,\"type\":\"code\",\"list\":false},\"_type\":\"CustomComponent\",\"html_content\":{\"required\":true,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"password\":false,\"name\":\"html_content\",\"display_name\":\"html_content\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"Data\",\"list\":false},\"ignore_links\":{\"required\":true,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"value\":false,\"password\":false,\"name\":\"ignore_links\",\"display_name\":\"ignore_links\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"bool\",\"list\":false}},\"description\":\"Converts HTML content to Markdown format.\",\"base_classes\":[\"str\"],\"display_name\":\"HTML to Markdown\",\"custom_fields\":{\"html_content\":null,\"ignore_links\":null},\"output_types\":[\"str\"],\"documentation\":\"\",\"beta\":true,\"error\":null},\"id\":\"CustomComponent-f6nOg\"},\"selected\":true,\"positionAbsolute\":{\"x\":665.2835942536854,\"y\":-371.7823429271119},\"dragging\":false},{\"width\":384,\"height\":375,\"id\":\"CustomComponent-FGzJJ\",\"type\":\"genericNode\",\"position\":{\"x\":-464.4553400967736,\"y\":-225.62715888255525},\"data\":{\"type\":\"CustomComponent\",\"node\":{\"template\":{\"code\":{\"dynamic\":true,\"required\":true,\"placeholder\":\"\",\"show\":true,\"multiline\":true,\"value\":\"from langflow import CustomComponent\\nfrom langflow.field_typing import Data\\nimport requests\\n\\nclass FetchHTMLContent(CustomComponent):\\n display_name: str = \\\"Fetch HTML\\\"\\n description: str = \\\"Fetches HTML content from a specified URL.\\\"\\n \\n def build_config(self):\\n return {\\\"url\\\": {\\\"input_types\\\": [\\\"Data\\\", \\\"str\\\"]}} \\n\\n def build(self, url: str) -> Data:\\n response = requests.get(url)\\n self.status = str(response) + \\\"\\\\n\\\\n\\\" + response.text\\n return response.text\\n\",\"password\":false,\"name\":\"code\",\"advanced\":false,\"type\":\"code\",\"list\":false},\"_type\":\"CustomComponent\",\"url\":{\"required\":true,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"password\":false,\"name\":\"url\",\"display_name\":\"url\",\"advanced\":false,\"input_types\":[\"Data\",\"str\"],\"dynamic\":false,\"info\":\"\",\"type\":\"str\",\"list\":false,\"value\":\"\"}},\"description\":\"Fetches HTML content from a specified URL.\",\"base_classes\":[\"Data\"],\"display_name\":\"Fetch HTML\",\"custom_fields\":{\"url\":null},\"output_types\":[\"Data\"],\"documentation\":\"\",\"beta\":true,\"error\":null},\"id\":\"CustomComponent-FGzJJ\"},\"selected\":true,\"dragging\":false,\"positionAbsolute\":{\"x\":-464.4553400967736,\"y\":-225.62715888255525}},{\"width\":384,\"height\":329,\"id\":\"CustomComponent-0XtUN\",\"type\":\"genericNode\",\"position\":{\"x\":214.00059169497604,\"y\":177.27071061129823},\"data\":{\"type\":\"CustomComponent\",\"node\":{\"template\":{\"code\":{\"dynamic\":true,\"required\":true,\"placeholder\":\"\",\"show\":true,\"multiline\":true,\"value\":\"from bs4 import BeautifulSoup\\nfrom langflow import CustomComponent\\nfrom langflow.field_typing import Data\\n\\nclass ParseHTMLContent(CustomComponent):\\n display_name: str = \\\"Parse HTML\\\"\\n description: str = \\\"Parses HTML content using Beautiful Soup.\\\"\\n\\n def build(self, html_content: Data) -> Data:\\n soup = BeautifulSoup(html_content, 'html.parser')\\n self.status = soup\\n return soup\\n\",\"password\":false,\"name\":\"code\",\"advanced\":false,\"type\":\"code\",\"list\":false},\"_type\":\"CustomComponent\",\"html_content\":{\"required\":true,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"password\":false,\"name\":\"html_content\",\"display_name\":\"html_content\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"Data\",\"list\":false}},\"description\":\"Parses HTML content using Beautiful Soup.\",\"base_classes\":[\"Data\"],\"display_name\":\"Parse HTML\",\"custom_fields\":{\"html_content\":null},\"output_types\":[\"Data\"],\"documentation\":\"\",\"beta\":true,\"error\":null},\"id\":\"CustomComponent-0XtUN\"},\"selected\":true,\"dragging\":false,\"positionAbsolute\":{\"x\":214.00059169497604,\"y\":177.27071061129823}},{\"width\":384,\"height\":329,\"id\":\"CustomComponent-ODIcp\",\"type\":\"genericNode\",\"position\":{\"x\":845.0502195222412,\"y\":366.54344452019404},\"data\":{\"type\":\"CustomComponent\",\"node\":{\"template\":{\"code\":{\"dynamic\":true,\"required\":true,\"placeholder\":\"\",\"show\":true,\"multiline\":true,\"value\":\"from langflow import CustomComponent\\nfrom langflow.field_typing import Data\\n\\nclass ExtractHyperlinks(CustomComponent):\\n display_name: str = \\\"Extract Hyperlinks\\\"\\n description: str = \\\"Extracts hyperlinks from parsed HTML content.\\\"\\n\\n def build(self, soup: Data) -> list:\\n links = [link.get('href') for link in soup.find_all('a')]\\n self.status = links\\n return links\\n\",\"password\":false,\"name\":\"code\",\"advanced\":false,\"type\":\"code\",\"list\":false},\"_type\":\"CustomComponent\",\"soup\":{\"required\":true,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"password\":false,\"name\":\"soup\",\"display_name\":\"soup\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"Data\",\"list\":false}},\"description\":\"Extracts hyperlinks from parsed HTML content.\",\"base_classes\":[\"list\"],\"display_name\":\"Extract Hyperlinks\",\"custom_fields\":{\"soup\":null},\"output_types\":[\"list\"],\"documentation\":\"\",\"beta\":true,\"error\":null},\"id\":\"CustomComponent-ODIcp\"},\"selected\":true,\"positionAbsolute\":{\"x\":845.0502195222412,\"y\":366.54344452019404},\"dragging\":false},{\"width\":384,\"height\":657,\"id\":\"PromptTemplate-H9Udy\",\"type\":\"genericNode\",\"position\":{\"x\":2230.389721706283,\"y\":584.4905083765256},\"data\":{\"type\":\"PromptTemplate\",\"node\":{\"template\":{\"output_parser\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"password\":false,\"name\":\"output_parser\",\"advanced\":false,\"dynamic\":true,\"info\":\"\",\"type\":\"BaseOutputParser\",\"list\":false},\"input_types\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"password\":false,\"name\":\"input_types\",\"advanced\":false,\"dynamic\":true,\"info\":\"\",\"type\":\"dict\",\"list\":false},\"input_variables\":{\"required\":true,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"password\":false,\"name\":\"input_variables\",\"advanced\":false,\"dynamic\":true,\"info\":\"\",\"type\":\"str\",\"list\":true,\"value\":[\"url\",\"html_markdown\",\"html_links\",\"query\"]},\"partial_variables\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"password\":false,\"name\":\"partial_variables\",\"advanced\":false,\"dynamic\":true,\"info\":\"\",\"type\":\"dict\",\"list\":false},\"template\":{\"required\":true,\"placeholder\":\"\",\"show\":true,\"multiline\":true,\"password\":false,\"name\":\"template\",\"advanced\":false,\"dynamic\":true,\"info\":\"\",\"type\":\"prompt\",\"list\":false,\"value\":\"Below is the HTML content (as markdown) and hyperlinks extracted from {url}\\n\\n---\\n\\nContent:\\n\\n{html_markdown}\\n\\n---\\n\\nLinks:\\n\\n{html_links}\\n\\n---\\n\\nAnswer the user query as best as possible.\\n\\nUser query:\\n\\n{query}\\n\\nAnswer:\\n\"},\"template_format\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"value\":\"f-string\",\"password\":false,\"name\":\"template_format\",\"advanced\":false,\"dynamic\":true,\"info\":\"\",\"type\":\"str\",\"list\":false},\"validate_template\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"value\":false,\"password\":false,\"name\":\"validate_template\",\"advanced\":false,\"dynamic\":true,\"info\":\"\",\"type\":\"bool\",\"list\":false},\"_type\":\"PromptTemplate\",\"url\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":true,\"value\":\"\",\"password\":false,\"name\":\"url\",\"display_name\":\"url\",\"advanced\":false,\"input_types\":[\"Document\",\"BaseOutputParser\"],\"dynamic\":false,\"info\":\"\",\"type\":\"str\",\"list\":false},\"html_markdown\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":true,\"value\":\"\",\"password\":false,\"name\":\"html_markdown\",\"display_name\":\"html_markdown\",\"advanced\":false,\"input_types\":[\"Document\",\"BaseOutputParser\"],\"dynamic\":false,\"info\":\"\",\"type\":\"str\",\"list\":false},\"html_links\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":true,\"value\":\"\",\"password\":false,\"name\":\"html_links\",\"display_name\":\"html_links\",\"advanced\":false,\"input_types\":[\"Document\",\"BaseOutputParser\"],\"dynamic\":false,\"info\":\"\",\"type\":\"str\",\"list\":false},\"query\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":true,\"value\":\"\",\"password\":false,\"name\":\"query\",\"display_name\":\"query\",\"advanced\":false,\"input_types\":[\"Document\",\"BaseOutputParser\"],\"dynamic\":false,\"info\":\"\",\"type\":\"str\",\"list\":false}},\"description\":\"A prompt template for a language model.\",\"base_classes\":[\"StringPromptTemplate\",\"BasePromptTemplate\",\"PromptTemplate\"],\"name\":\"\",\"display_name\":\"PromptTemplate\",\"documentation\":\"https://python.langchain.com/docs/modules/model_io/prompts/prompt_templates/\",\"custom_fields\":{\"\":[\"url\",\"html_markdown\",\"html_links\",\"query\"]},\"output_types\":[],\"full_path\":null,\"field_formatters\":{},\"beta\":false,\"error\":null},\"id\":\"PromptTemplate-H9Udy\"},\"selected\":true,\"positionAbsolute\":{\"x\":2230.389721706283,\"y\":584.4905083765256},\"dragging\":false},{\"width\":384,\"height\":347,\"id\":\"CustomComponent-OACE0\",\"type\":\"genericNode\",\"position\":{\"x\":-1155.9497945157625,\"y\":198.13583204151553},\"data\":{\"type\":\"CustomComponent\",\"node\":{\"template\":{\"code\":{\"dynamic\":true,\"required\":true,\"placeholder\":\"\",\"show\":true,\"multiline\":true,\"value\":\"from langflow import CustomComponent\\nfrom langflow.field_typing import Data\\nimport requests\\n\\nclass FetchHTMLContent(CustomComponent):\\n display_name: str = \\\"URL Input\\\"\\n\\n def build(self, url: str) -> str:\\n return url\\n\",\"password\":false,\"name\":\"code\",\"advanced\":false,\"type\":\"code\",\"list\":false},\"_type\":\"CustomComponent\",\"url\":{\"required\":true,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"password\":false,\"name\":\"url\",\"display_name\":\"url\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"str\",\"list\":false}},\"description\":null,\"base_classes\":[\"str\"],\"display_name\":\"URL Input\",\"custom_fields\":{\"url\":null},\"output_types\":[\"str\"],\"documentation\":\"\",\"beta\":true,\"error\":null},\"id\":\"CustomComponent-OACE0\"},\"selected\":true,\"positionAbsolute\":{\"x\":-1155.9497945157625,\"y\":198.13583204151553},\"dragging\":false},{\"width\":384,\"height\":329,\"id\":\"CustomComponent-whsQ5\",\"type\":\"genericNode\",\"position\":{\"x\":1396.5574076376327,\"y\":694.8308714574463},\"data\":{\"type\":\"CustomComponent\",\"node\":{\"template\":{\"code\":{\"dynamic\":true,\"required\":true,\"placeholder\":\"\",\"show\":true,\"multiline\":true,\"value\":\"from langflow import CustomComponent\\n\\nclass ListToMarkdownBullets(CustomComponent):\\n display_name: str = \\\"List to Bullets\\\"\\n description: str = \\\"Converts a Python list into Markdown bullet points.\\\"\\n\\n def build(self, items: list) -> str:\\n markdown_bullets = '\\\\n'.join(f'* {item}' for item in items)\\n return markdown_bullets\\n\",\"password\":false,\"name\":\"code\",\"advanced\":false,\"type\":\"code\",\"list\":false},\"_type\":\"CustomComponent\",\"items\":{\"required\":true,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"password\":false,\"name\":\"items\",\"display_name\":\"items\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"list\",\"list\":true}},\"description\":\"Converts a Python list into Markdown bullet points.\",\"base_classes\":[\"str\"],\"display_name\":\"List to Bullets\",\"custom_fields\":{\"items\":null},\"output_types\":[\"str\"],\"documentation\":\"\",\"beta\":true,\"error\":null},\"id\":\"CustomComponent-whsQ5\"},\"selected\":true,\"positionAbsolute\":{\"x\":1396.5574076376327,\"y\":694.8308714574463},\"dragging\":false}],\"edges\":[{\"source\":\"CustomComponent-FGzJJ\",\"sourceHandle\":\"{œbaseClassesœ:[œDataœ],œdataTypeœ:œCustomComponentœ,œidœ:œCustomComponent-FGzJJœ}\",\"target\":\"CustomComponent-f6nOg\",\"targetHandle\":\"{œfieldNameœ:œhtml_contentœ,œidœ:œCustomComponent-f6nOgœ,œinputTypesœ:null,œtypeœ:œDataœ}\",\"data\":{\"targetHandle\":{\"fieldName\":\"html_content\",\"id\":\"CustomComponent-f6nOg\",\"inputTypes\":null,\"type\":\"Data\"},\"sourceHandle\":{\"baseClasses\":[\"Data\"],\"dataType\":\"CustomComponent\",\"id\":\"CustomComponent-FGzJJ\"}},\"style\":{\"stroke\":\"#555\"},\"className\":\"stroke-foreground stroke-connection\",\"animated\":false,\"id\":\"reactflow__edge-CustomComponent-FGzJJ{œbaseClassesœ:[œDataœ],œdataTypeœ:œCustomComponentœ,œidœ:œCustomComponent-FGzJJœ}-CustomComponent-f6nOg{œfieldNameœ:œhtml_contentœ,œidœ:œCustomComponent-f6nOgœ,œinputTypesœ:null,œtypeœ:œDataœ}\",\"selected\":true},{\"source\":\"CustomComponent-FGzJJ\",\"sourceHandle\":\"{œbaseClassesœ:[œDataœ],œdataTypeœ:œCustomComponentœ,œidœ:œCustomComponent-FGzJJœ}\",\"target\":\"CustomComponent-0XtUN\",\"targetHandle\":\"{œfieldNameœ:œhtml_contentœ,œidœ:œCustomComponent-0XtUNœ,œinputTypesœ:null,œtypeœ:œDataœ}\",\"data\":{\"targetHandle\":{\"fieldName\":\"html_content\",\"id\":\"CustomComponent-0XtUN\",\"inputTypes\":null,\"type\":\"Data\"},\"sourceHandle\":{\"baseClasses\":[\"Data\"],\"dataType\":\"CustomComponent\",\"id\":\"CustomComponent-FGzJJ\"}},\"style\":{\"stroke\":\"#555\"},\"className\":\"stroke-foreground stroke-connection\",\"animated\":false,\"id\":\"reactflow__edge-CustomComponent-FGzJJ{œbaseClassesœ:[œDataœ],œdataTypeœ:œCustomComponentœ,œidœ:œCustomComponent-FGzJJœ}-CustomComponent-0XtUN{œfieldNameœ:œhtml_contentœ,œidœ:œCustomComponent-0XtUNœ,œinputTypesœ:null,œtypeœ:œDataœ}\",\"selected\":true},{\"source\":\"CustomComponent-0XtUN\",\"sourceHandle\":\"{œbaseClassesœ:[œDataœ],œdataTypeœ:œCustomComponentœ,œidœ:œCustomComponent-0XtUNœ}\",\"target\":\"CustomComponent-ODIcp\",\"targetHandle\":\"{œfieldNameœ:œsoupœ,œidœ:œCustomComponent-ODIcpœ,œinputTypesœ:null,œtypeœ:œDataœ}\",\"data\":{\"targetHandle\":{\"fieldName\":\"soup\",\"id\":\"CustomComponent-ODIcp\",\"inputTypes\":null,\"type\":\"Data\"},\"sourceHandle\":{\"baseClasses\":[\"Data\"],\"dataType\":\"CustomComponent\",\"id\":\"CustomComponent-0XtUN\"}},\"style\":{\"stroke\":\"#555\"},\"className\":\"stroke-foreground stroke-connection\",\"animated\":false,\"id\":\"reactflow__edge-CustomComponent-0XtUN{œbaseClassesœ:[œDataœ],œdataTypeœ:œCustomComponentœ,œidœ:œCustomComponent-0XtUNœ}-CustomComponent-ODIcp{œfieldNameœ:œsoupœ,œidœ:œCustomComponent-ODIcpœ,œinputTypesœ:null,œtypeœ:œDataœ}\",\"selected\":true},{\"source\":\"CustomComponent-OACE0\",\"sourceHandle\":\"{œbaseClassesœ:[œstrœ],œdataTypeœ:œCustomComponentœ,œidœ:œCustomComponent-OACE0œ}\",\"target\":\"CustomComponent-FGzJJ\",\"targetHandle\":\"{œfieldNameœ:œurlœ,œidœ:œCustomComponent-FGzJJœ,œinputTypesœ:[œDataœ,œstrœ],œtypeœ:œstrœ}\",\"data\":{\"targetHandle\":{\"fieldName\":\"url\",\"id\":\"CustomComponent-FGzJJ\",\"inputTypes\":[\"Data\",\"str\"],\"type\":\"str\"},\"sourceHandle\":{\"baseClasses\":[\"str\"],\"dataType\":\"CustomComponent\",\"id\":\"CustomComponent-OACE0\"}},\"style\":{\"stroke\":\"#555\"},\"className\":\"stroke-foreground stroke-connection\",\"animated\":false,\"id\":\"reactflow__edge-CustomComponent-OACE0{œbaseClassesœ:[œstrœ],œdataTypeœ:œCustomComponentœ,œidœ:œCustomComponent-OACE0œ}-CustomComponent-FGzJJ{œfieldNameœ:œurlœ,œidœ:œCustomComponent-FGzJJœ,œinputTypesœ:[œDataœ,œstrœ],œtypeœ:œstrœ}\",\"selected\":true},{\"source\":\"CustomComponent-OACE0\",\"sourceHandle\":\"{œbaseClassesœ:[œstrœ],œdataTypeœ:œCustomComponentœ,œidœ:œCustomComponent-OACE0œ}\",\"target\":\"PromptTemplate-H9Udy\",\"targetHandle\":\"{œfieldNameœ:œurlœ,œidœ:œPromptTemplate-H9Udyœ,œinputTypesœ:[œDocumentœ,œBaseOutputParserœ],œtypeœ:œstrœ}\",\"data\":{\"targetHandle\":{\"fieldName\":\"url\",\"id\":\"PromptTemplate-H9Udy\",\"inputTypes\":[\"Document\",\"BaseOutputParser\"],\"type\":\"str\"},\"sourceHandle\":{\"baseClasses\":[\"str\"],\"dataType\":\"CustomComponent\",\"id\":\"CustomComponent-OACE0\"}},\"style\":{\"stroke\":\"#555\"},\"className\":\"stroke-foreground stroke-connection\",\"animated\":false,\"id\":\"reactflow__edge-CustomComponent-OACE0{œbaseClassesœ:[œstrœ],œdataTypeœ:œCustomComponentœ,œidœ:œCustomComponent-OACE0œ}-PromptTemplate-H9Udy{œfieldNameœ:œurlœ,œidœ:œPromptTemplate-H9Udyœ,œinputTypesœ:[œDocumentœ,œBaseOutputParserœ],œtypeœ:œstrœ}\",\"selected\":true},{\"source\":\"CustomComponent-ODIcp\",\"sourceHandle\":\"{œbaseClassesœ:[œlistœ],œdataTypeœ:œCustomComponentœ,œidœ:œCustomComponent-ODIcpœ}\",\"target\":\"CustomComponent-whsQ5\",\"targetHandle\":\"{œfieldNameœ:œitemsœ,œidœ:œCustomComponent-whsQ5œ,œinputTypesœ:null,œtypeœ:œlistœ}\",\"data\":{\"targetHandle\":{\"fieldName\":\"items\",\"id\":\"CustomComponent-whsQ5\",\"inputTypes\":null,\"type\":\"list\"},\"sourceHandle\":{\"baseClasses\":[\"list\"],\"dataType\":\"CustomComponent\",\"id\":\"CustomComponent-ODIcp\"}},\"style\":{\"stroke\":\"#555\"},\"className\":\"stroke-foreground stroke-connection\",\"animated\":false,\"id\":\"reactflow__edge-CustomComponent-ODIcp{œbaseClassesœ:[œlistœ],œdataTypeœ:œCustomComponentœ,œidœ:œCustomComponent-ODIcpœ}-CustomComponent-whsQ5{œfieldNameœ:œitemsœ,œidœ:œCustomComponent-whsQ5œ,œinputTypesœ:null,œtypeœ:œlistœ}\",\"selected\":true},{\"source\":\"CustomComponent-whsQ5\",\"sourceHandle\":\"{œbaseClassesœ:[œstrœ],œdataTypeœ:œCustomComponentœ,œidœ:œCustomComponent-whsQ5œ}\",\"target\":\"PromptTemplate-H9Udy\",\"targetHandle\":\"{œfieldNameœ:œhtml_linksœ,œidœ:œPromptTemplate-H9Udyœ,œinputTypesœ:[œDocumentœ,œBaseOutputParserœ],œtypeœ:œstrœ}\",\"data\":{\"targetHandle\":{\"fieldName\":\"html_links\",\"id\":\"PromptTemplate-H9Udy\",\"inputTypes\":[\"Document\",\"BaseOutputParser\"],\"type\":\"str\"},\"sourceHandle\":{\"baseClasses\":[\"str\"],\"dataType\":\"CustomComponent\",\"id\":\"CustomComponent-whsQ5\"}},\"style\":{\"stroke\":\"#555\"},\"className\":\"stroke-foreground stroke-connection\",\"animated\":false,\"id\":\"reactflow__edge-CustomComponent-whsQ5{œbaseClassesœ:[œstrœ],œdataTypeœ:œCustomComponentœ,œidœ:œCustomComponent-whsQ5œ}-PromptTemplate-H9Udy{œfieldNameœ:œhtml_linksœ,œidœ:œPromptTemplate-H9Udyœ,œinputTypesœ:[œDocumentœ,œBaseOutputParserœ],œtypeœ:œstrœ}\",\"selected\":true},{\"source\":\"CustomComponent-f6nOg\",\"sourceHandle\":\"{œbaseClassesœ:[œstrœ],œdataTypeœ:œCustomComponentœ,œidœ:œCustomComponent-f6nOgœ}\",\"target\":\"PromptTemplate-H9Udy\",\"targetHandle\":\"{œfieldNameœ:œhtml_markdownœ,œidœ:œPromptTemplate-H9Udyœ,œinputTypesœ:[œDocumentœ,œBaseOutputParserœ],œtypeœ:œstrœ}\",\"data\":{\"targetHandle\":{\"fieldName\":\"html_markdown\",\"id\":\"PromptTemplate-H9Udy\",\"inputTypes\":[\"Document\",\"BaseOutputParser\"],\"type\":\"str\"},\"sourceHandle\":{\"baseClasses\":[\"str\"],\"dataType\":\"CustomComponent\",\"id\":\"CustomComponent-f6nOg\"}},\"style\":{\"stroke\":\"#555\"},\"className\":\"stroke-foreground stroke-connection\",\"animated\":false,\"id\":\"reactflow__edge-CustomComponent-f6nOg{œbaseClassesœ:[œstrœ],œdataTypeœ:œCustomComponentœ,œidœ:œCustomComponent-f6nOgœ}-PromptTemplate-H9Udy{œfieldNameœ:œhtml_markdownœ,œidœ:œPromptTemplate-H9Udyœ,œinputTypesœ:[œDocumentœ,œBaseOutputParserœ],œtypeœ:œstrœ}\",\"selected\":true}],\"viewport\":{\"x\":343.0346131188585,\"y\":341.89843948642147,\"zoom\":0.24148408223121196}},\"is_component\":false,\"name\":\"Fluffy Ptolemy\",\"description\":\"\",\"id\":\"W5oNW\"}}},\"id\":\"GroupNode-WXPMk\",\"position\":{\"x\":873.0737834322758,\"y\":598.8401015776466},\"type\":\"genericNode\",\"selected\":true,\"dragging\":false,\"positionAbsolute\":{\"x\":873.0737834322758,\"y\":598.8401015776466}}],\"edges\":[{\"source\":\"ChatOpenAI-VSAdc\",\"sourceHandle\":\"{œbaseClassesœ:[œBaseLanguageModelœ,œChatOpenAIœ,œBaseChatModelœ,œBaseLLMœ],œdataTypeœ:œChatOpenAIœ,œidœ:œChatOpenAI-VSAdcœ}\",\"target\":\"LLMChain-H7PBy\",\"targetHandle\":\"{œfieldNameœ:œllmœ,œidœ:œLLMChain-H7PByœ,œinputTypesœ:null,œtypeœ:œBaseLanguageModelœ}\",\"data\":{\"targetHandle\":{\"fieldName\":\"llm\",\"id\":\"LLMChain-H7PBy\",\"inputTypes\":null,\"type\":\"BaseLanguageModel\"},\"sourceHandle\":{\"baseClasses\":[\"BaseLanguageModel\",\"ChatOpenAI\",\"BaseChatModel\",\"BaseLLM\"],\"dataType\":\"ChatOpenAI\",\"id\":\"ChatOpenAI-VSAdc\"}},\"style\":{\"stroke\":\"#555\"},\"className\":\"stroke-gray-900 stroke-connection\",\"animated\":false,\"id\":\"reactflow__edge-ChatOpenAI-VSAdc{œbaseClassesœ:[œBaseLanguageModelœ,œChatOpenAIœ,œBaseChatModelœ,œBaseLLMœ],œdataTypeœ:œChatOpenAIœ,œidœ:œChatOpenAI-VSAdcœ}-LLMChain-H7PBy{œfieldNameœ:œllmœ,œidœ:œLLMChain-H7PByœ,œinputTypesœ:null,œtypeœ:œBaseLanguageModelœ}\"},{\"source\":\"GroupNode-WXPMk\",\"sourceHandle\":\"{œbaseClassesœ:[œStringPromptTemplateœ,œBasePromptTemplateœ,œPromptTemplateœ],œdataTypeœ:œPromptTemplateœ,œidœ:œGroupNode-WXPMkœ}\",\"target\":\"LLMChain-H7PBy\",\"targetHandle\":\"{œfieldNameœ:œpromptœ,œidœ:œLLMChain-H7PByœ,œinputTypesœ:null,œtypeœ:œBasePromptTemplateœ}\",\"data\":{\"targetHandle\":{\"fieldName\":\"prompt\",\"id\":\"LLMChain-H7PBy\",\"inputTypes\":null,\"type\":\"BasePromptTemplate\"},\"sourceHandle\":{\"baseClasses\":[\"StringPromptTemplate\",\"BasePromptTemplate\",\"PromptTemplate\"],\"dataType\":\"PromptTemplate\",\"id\":\"GroupNode-WXPMk\"}},\"style\":{\"stroke\":\"#555\"},\"className\":\"stroke-gray-900 stroke-connection\",\"animated\":false,\"id\":\"reactflow__edge-GroupNode-WXPMk{œbaseClassesœ:[œStringPromptTemplateœ,œBasePromptTemplateœ,œPromptTemplateœ],œdataTypeœ:œPromptTemplateœ,œidœ:œGroupNode-WXPMkœ}-LLMChain-H7PBy{œfieldNameœ:œpromptœ,œidœ:œLLMChain-H7PByœ,œinputTypesœ:null,œtypeœ:œBasePromptTemplateœ}\"}],\"viewport\":{\"x\":-348.6161822813733,\"y\":121.40545291211492,\"zoom\":0.6801854262029781}},\"is_component\":false,\"updated_at\":\"2023-12-04T23:22:27.784647\",\"folder\":null,\"id\":\"efc3bf27-3cf1-4561-9a83-3df347572440\",\"user_id\":\"d253bfba-6368-44dc-85f7-0d6da9e45968\"},{\"name\":\"Sad Joliot\",\"description\":\"Navigate the Networks of Conversation.\",\"data\":{\"nodes\":[{\"width\":384,\"height\":338,\"id\":\"LLMChain-RQsU1\",\"type\":\"genericNode\",\"position\":{\"x\":514.4440482813261,\"y\":528.164086188516},\"data\":{\"type\":\"LLMChain\",\"node\":{\"template\":{\"code\":{\"dynamic\":true,\"required\":true,\"placeholder\":\"\",\"show\":false,\"multiline\":true,\"value\":\"from typing import Callable, Optional, Union\\n\\nfrom langchain.chains import LLMChain\\n\\nfrom langflow import CustomComponent\\nfrom langflow.field_typing import (\\n BaseLanguageModel,\\n BaseMemory,\\n BasePromptTemplate,\\n Chain,\\n)\\n\\n\\nclass LLMChainComponent(CustomComponent):\\n display_name = \\\"LLMChain\\\"\\n description = \\\"Chain to run queries against LLMs\\\"\\n\\n def build_config(self):\\n return {\\n \\\"prompt\\\": {\\\"display_name\\\": \\\"Prompt\\\"},\\n \\\"llm\\\": {\\\"display_name\\\": \\\"LLM\\\"},\\n \\\"memory\\\": {\\\"display_name\\\": \\\"Memory\\\"},\\n \\\"code\\\": {\\\"show\\\": False},\\n }\\n\\n def build(\\n self,\\n prompt: BasePromptTemplate,\\n llm: BaseLanguageModel,\\n memory: Optional[BaseMemory] = None,\\n ) -> Union[Chain, Callable]:\\n return LLMChain(prompt=prompt, llm=llm, memory=memory)\\n\",\"password\":false,\"name\":\"code\",\"advanced\":false,\"type\":\"code\",\"list\":false},\"_type\":\"CustomComponent\",\"llm\":{\"required\":true,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"password\":false,\"name\":\"llm\",\"display_name\":\"LLM\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"BaseLanguageModel\",\"list\":false},\"memory\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"password\":false,\"name\":\"memory\",\"display_name\":\"Memory\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"BaseMemory\",\"list\":false},\"prompt\":{\"required\":true,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"password\":false,\"name\":\"prompt\",\"display_name\":\"Prompt\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"BasePromptTemplate\",\"list\":false}},\"description\":\"Chain to run queries against LLMs\",\"base_classes\":[\"Chain\",\"Callable\"],\"display_name\":\"LLMChain\",\"custom_fields\":{\"llm\":null,\"memory\":null,\"prompt\":null},\"output_types\":[\"LLMChain\"],\"documentation\":\"\",\"beta\":true,\"error\":null},\"id\":\"LLMChain-RQsU1\"},\"selected\":false,\"positionAbsolute\":{\"x\":514.4440482813261,\"y\":528.164086188516}},{\"width\":384,\"height\":626,\"id\":\"ChatOpenAI-NTTcv\",\"type\":\"genericNode\",\"position\":{\"x\":-221.33853765781578,\"y\":-35.48749923706055},\"data\":{\"type\":\"ChatOpenAI\",\"node\":{\"template\":{\"callbacks\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"password\":false,\"name\":\"callbacks\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"langchain_core.callbacks.base.BaseCallbackHandler\",\"list\":true},\"async_client\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"password\":false,\"name\":\"async_client\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"Any\",\"list\":false},\"cache\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"password\":false,\"name\":\"cache\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"bool\",\"list\":false},\"client\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"password\":false,\"name\":\"client\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"Any\",\"list\":false},\"default_headers\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"password\":false,\"name\":\"default_headers\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"dict\",\"list\":false},\"default_query\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"password\":false,\"name\":\"default_query\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"dict\",\"list\":false},\"http_client\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"password\":false,\"name\":\"http_client\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"Any\",\"list\":false},\"max_retries\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"value\":2,\"password\":false,\"name\":\"max_retries\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"int\",\"list\":false},\"max_tokens\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"password\":true,\"name\":\"max_tokens\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"int\",\"list\":false},\"metadata\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"password\":false,\"name\":\"metadata\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"dict\",\"list\":false},\"model_kwargs\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"password\":false,\"name\":\"model_kwargs\",\"advanced\":true,\"dynamic\":false,\"info\":\"\",\"type\":\"dict\",\"list\":false},\"model_name\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"value\":\"gpt-4-1106-preview\",\"password\":false,\"options\":[\"gpt-4-1106-preview\",\"gpt-4\",\"gpt-4-32k\",\"gpt-3.5-turbo\",\"gpt-3.5-turbo-16k\"],\"name\":\"model_name\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"str\",\"list\":true},\"n\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"value\":1,\"password\":false,\"name\":\"n\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"int\",\"list\":false},\"openai_api_base\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"password\":false,\"name\":\"openai_api_base\",\"display_name\":\"OpenAI API Base\",\"advanced\":false,\"dynamic\":false,\"info\":\"\\nThe base URL of the OpenAI API. Defaults to https://api.openai.com/v1.\\n\\nYou can change this to use other APIs like JinaChat, LocalAI and Prem.\\n\",\"type\":\"str\",\"list\":false},\"openai_api_key\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"value\":\"sk-...\",\"password\":true,\"name\":\"openai_api_key\",\"display_name\":\"OpenAI API Key\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"str\",\"list\":false},\"openai_organization\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"password\":false,\"name\":\"openai_organization\",\"display_name\":\"OpenAI Organization\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"str\",\"list\":false},\"openai_proxy\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"password\":false,\"name\":\"openai_proxy\",\"display_name\":\"OpenAI Proxy\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"str\",\"list\":false},\"request_timeout\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"password\":false,\"name\":\"request_timeout\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"float\",\"list\":false},\"streaming\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"value\":false,\"password\":false,\"name\":\"streaming\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"bool\",\"list\":false},\"tags\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"password\":false,\"name\":\"tags\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"str\",\"list\":true},\"temperature\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"value\":\"0.1\",\"password\":false,\"name\":\"temperature\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"float\",\"list\":false},\"tiktoken_model_name\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"password\":false,\"name\":\"tiktoken_model_name\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"str\",\"list\":false},\"verbose\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"value\":false,\"password\":false,\"name\":\"verbose\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"bool\",\"list\":false},\"_type\":\"ChatOpenAI\"},\"description\":\"`OpenAI` Chat large language models API.\",\"base_classes\":[\"BaseLanguageModel\",\"ChatOpenAI\",\"BaseChatModel\",\"BaseLLM\"],\"display_name\":\"ChatOpenAI\",\"custom_fields\":{},\"output_types\":[],\"documentation\":\"https://python.langchain.com/docs/modules/model_io/models/chat/integrations/openai\",\"beta\":false,\"error\":null},\"id\":\"ChatOpenAI-NTTcv\"},\"selected\":false,\"positionAbsolute\":{\"x\":-221.33853765781578,\"y\":-35.48749923706055}},{\"width\":384,\"height\":374,\"id\":\"PromptTemplate-VELMV\",\"type\":\"genericNode\",\"position\":{\"x\":-222,\"y\":682.560723386973},\"data\":{\"id\":\"PromptTemplate-VELMV\",\"type\":\"PromptTemplate\",\"node\":{\"output_types\":[],\"display_name\":\"Web Scraper\",\"documentation\":\"\",\"base_classes\":[\"StringPromptTemplate\",\"BasePromptTemplate\",\"PromptTemplate\"],\"description\":\"Fetch and parse text and links from a given URL.\",\"template\":{\"code_CustomComponent-f6nOg\":{\"dynamic\":true,\"required\":true,\"placeholder\":\"\",\"show\":false,\"multiline\":true,\"value\":\"from langflow import CustomComponent\\nfrom langflow.field_typing import Data\\nimport html2text\\n\\nclass ConvertHTMLToMarkdown(CustomComponent):\\n display_name: str = \\\"HTML to Markdown\\\"\\n description: str = \\\"Converts HTML content to Markdown format.\\\"\\n\\n def build(self, html_content: Data, ignore_links: bool = False) -> str:\\n converter = html2text.HTML2Text()\\n converter.ignore_links = ignore_links\\n markdown_text = converter.handle(html_content)\\n self.status = markdown_text\\n return markdown_text\\n\",\"password\":false,\"name\":\"code\",\"advanced\":false,\"type\":\"code\",\"list\":false,\"proxy\":{\"id\":\"CustomComponent-f6nOg\",\"field\":\"code\"},\"display_name\":\"Code\"},\"ignore_links_CustomComponent-f6nOg\":{\"required\":true,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"value\":false,\"password\":false,\"name\":\"ignore_links\",\"display_name\":\"ignore_links\",\"advanced\":true,\"dynamic\":false,\"info\":\"\",\"type\":\"bool\",\"list\":false,\"proxy\":{\"id\":\"CustomComponent-f6nOg\",\"field\":\"ignore_links\"}},\"code_CustomComponent-FGzJJ\":{\"dynamic\":true,\"required\":true,\"placeholder\":\"\",\"show\":false,\"multiline\":true,\"value\":\"from langflow import CustomComponent\\nfrom langflow.field_typing import Data\\nimport requests\\n\\nclass FetchHTMLContent(CustomComponent):\\n display_name: str = \\\"Fetch HTML\\\"\\n description: str = \\\"Fetches HTML content from a specified URL.\\\"\\n \\n def build_config(self):\\n return {\\\"url\\\": {\\\"input_types\\\": [\\\"Data\\\", \\\"str\\\"]}} \\n\\n def build(self, url: str) -> Data:\\n response = requests.get(url)\\n self.status = str(response) + \\\"\\\\n\\\\n\\\" + response.text\\n return response.text\\n\",\"password\":false,\"name\":\"code\",\"advanced\":false,\"type\":\"code\",\"list\":false,\"proxy\":{\"id\":\"CustomComponent-FGzJJ\",\"field\":\"code\"},\"display_name\":\"Code\"},\"code_CustomComponent-0XtUN\":{\"dynamic\":true,\"required\":true,\"placeholder\":\"\",\"show\":false,\"multiline\":true,\"value\":\"from bs4 import BeautifulSoup\\nfrom langflow import CustomComponent\\nfrom langflow.field_typing import Data\\n\\nclass ParseHTMLContent(CustomComponent):\\n display_name: str = \\\"Parse HTML\\\"\\n description: str = \\\"Parses HTML content using Beautiful Soup.\\\"\\n\\n def build(self, html_content: Data) -> Data:\\n soup = BeautifulSoup(html_content, 'html.parser')\\n self.status = soup\\n return soup\\n\",\"password\":false,\"name\":\"code\",\"advanced\":false,\"type\":\"code\",\"list\":false,\"proxy\":{\"id\":\"CustomComponent-0XtUN\",\"field\":\"code\"},\"display_name\":\"Code\"},\"code_CustomComponent-ODIcp\":{\"dynamic\":true,\"required\":true,\"placeholder\":\"\",\"show\":false,\"multiline\":true,\"value\":\"from langflow import CustomComponent\\nfrom langflow.field_typing import Data\\n\\nclass ExtractHyperlinks(CustomComponent):\\n display_name: str = \\\"Extract Hyperlinks\\\"\\n description: str = \\\"Extracts hyperlinks from parsed HTML content.\\\"\\n\\n def build(self, soup: Data) -> list:\\n links = [link.get('href') for link in soup.find_all('a')]\\n self.status = links\\n return links\\n\",\"password\":false,\"name\":\"code\",\"advanced\":false,\"type\":\"code\",\"list\":false,\"proxy\":{\"id\":\"CustomComponent-ODIcp\",\"field\":\"code\"},\"display_name\":\"Code\"},\"output_parser_PromptTemplate-H9Udy\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"password\":false,\"name\":\"output_parser\",\"advanced\":false,\"dynamic\":true,\"info\":\"\",\"type\":\"BaseOutputParser\",\"list\":false,\"proxy\":{\"id\":\"PromptTemplate-H9Udy\",\"field\":\"output_parser\"},\"display_name\":\"Output Parser\"},\"input_types_PromptTemplate-H9Udy\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"password\":false,\"name\":\"input_types\",\"advanced\":true,\"dynamic\":true,\"info\":\"\",\"type\":\"dict\",\"list\":false,\"proxy\":{\"id\":\"PromptTemplate-H9Udy\",\"field\":\"input_types\"},\"display_name\":\"Input Types\"},\"input_variables_PromptTemplate-H9Udy\":{\"required\":true,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"password\":false,\"name\":\"input_variables\",\"advanced\":false,\"dynamic\":true,\"info\":\"\",\"type\":\"str\",\"list\":true,\"value\":[\"url\",\"html_markdown\",\"html_links\",\"query\"],\"proxy\":{\"id\":\"PromptTemplate-H9Udy\",\"field\":\"input_variables\"},\"display_name\":\"Input Variables\"},\"partial_variables_PromptTemplate-H9Udy\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"password\":false,\"name\":\"partial_variables\",\"advanced\":true,\"dynamic\":true,\"info\":\"\",\"type\":\"dict\",\"list\":false,\"proxy\":{\"id\":\"PromptTemplate-H9Udy\",\"field\":\"partial_variables\"},\"display_name\":\"Partial Variables\"},\"template_PromptTemplate-H9Udy\":{\"required\":true,\"placeholder\":\"\",\"show\":true,\"multiline\":true,\"password\":false,\"name\":\"template\",\"advanced\":true,\"dynamic\":true,\"info\":\"\",\"type\":\"prompt\",\"list\":false,\"value\":\"Below is the HTML content (as markdown) and hyperlinks extracted from {url}\\n\\n---\\n\\nContent:\\n\\n{html_markdown}\\n\\n---\\n\\nLinks:\\n\\n{html_links}\\n\\n---\\n\\nAnswer the user query as best as possible.\\n\\nUser query:\\n\\n{query}\\n\\nAnswer:\\n\",\"proxy\":{\"id\":\"PromptTemplate-H9Udy\",\"field\":\"template\"},\"display_name\":\"Template\"},\"template_format_PromptTemplate-H9Udy\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"value\":\"f-string\",\"password\":false,\"name\":\"template_format\",\"advanced\":true,\"dynamic\":true,\"info\":\"\",\"type\":\"str\",\"list\":false,\"proxy\":{\"id\":\"PromptTemplate-H9Udy\",\"field\":\"template_format\"},\"display_name\":\"Template Format\"},\"validate_template_PromptTemplate-H9Udy\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"value\":false,\"password\":false,\"name\":\"validate_template\",\"advanced\":true,\"dynamic\":true,\"info\":\"\",\"type\":\"bool\",\"list\":false,\"proxy\":{\"id\":\"PromptTemplate-H9Udy\",\"field\":\"validate_template\"},\"display_name\":\"Validate Template\"},\"query_PromptTemplate-H9Udy\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":true,\"value\":\"\",\"password\":false,\"name\":\"query\",\"display_name\":\"query\",\"advanced\":false,\"input_types\":[\"Document\",\"BaseOutputParser\"],\"dynamic\":false,\"info\":\"\",\"type\":\"str\",\"list\":false,\"proxy\":{\"id\":\"PromptTemplate-H9Udy\",\"field\":\"query\"}},\"code_CustomComponent-OACE0\":{\"dynamic\":true,\"required\":true,\"placeholder\":\"\",\"show\":false,\"multiline\":true,\"value\":\"from langflow import CustomComponent\\nfrom langflow.field_typing import Data\\nimport requests\\n\\nclass FetchHTMLContent(CustomComponent):\\n display_name: str = \\\"URL Input\\\"\\n\\n def build(self, url: str) -> str:\\n return url\\n\",\"password\":false,\"name\":\"code\",\"advanced\":false,\"type\":\"code\",\"list\":false,\"proxy\":{\"id\":\"CustomComponent-OACE0\",\"field\":\"code\"},\"display_name\":\"Code\"},\"url_CustomComponent-OACE0\":{\"required\":true,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"password\":false,\"name\":\"url\",\"display_name\":\"url\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"str\",\"list\":false,\"proxy\":{\"id\":\"CustomComponent-OACE0\",\"field\":\"url\"},\"value\":\"https://paperswithcode.com/\"},\"code_CustomComponent-whsQ5\":{\"dynamic\":true,\"required\":true,\"placeholder\":\"\",\"show\":false,\"multiline\":true,\"value\":\"from langflow import CustomComponent\\n\\nclass ListToMarkdownBullets(CustomComponent):\\n display_name: str = \\\"List to Bullets\\\"\\n description: str = \\\"Converts a Python list into Markdown bullet points.\\\"\\n\\n def build(self, items: list) -> str:\\n markdown_bullets = '\\\\n'.join(f'* {item}' for item in items)\\n return markdown_bullets\\n\",\"password\":false,\"name\":\"code\",\"advanced\":false,\"type\":\"code\",\"list\":false,\"proxy\":{\"id\":\"CustomComponent-whsQ5\",\"field\":\"code\"},\"display_name\":\"Code\"}},\"flow\":{\"data\":{\"nodes\":[{\"width\":384,\"height\":405,\"id\":\"CustomComponent-f6nOg\",\"type\":\"genericNode\",\"position\":{\"x\":665.2835942536854,\"y\":-371.7823429271119},\"data\":{\"type\":\"CustomComponent\",\"node\":{\"template\":{\"code\":{\"dynamic\":true,\"required\":true,\"placeholder\":\"\",\"show\":true,\"multiline\":true,\"value\":\"from langflow import CustomComponent\\nfrom langflow.field_typing import Data\\nimport html2text\\n\\nclass ConvertHTMLToMarkdown(CustomComponent):\\n display_name: str = \\\"HTML to Markdown\\\"\\n description: str = \\\"Converts HTML content to Markdown format.\\\"\\n\\n def build(self, html_content: Data, ignore_links: bool = False) -> str:\\n converter = html2text.HTML2Text()\\n converter.ignore_links = ignore_links\\n markdown_text = converter.handle(html_content)\\n self.status = markdown_text\\n return markdown_text\\n\",\"password\":false,\"name\":\"code\",\"advanced\":false,\"type\":\"code\",\"list\":false},\"_type\":\"CustomComponent\",\"html_content\":{\"required\":true,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"password\":false,\"name\":\"html_content\",\"display_name\":\"html_content\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"Data\",\"list\":false},\"ignore_links\":{\"required\":true,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"value\":false,\"password\":false,\"name\":\"ignore_links\",\"display_name\":\"ignore_links\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"bool\",\"list\":false}},\"description\":\"Converts HTML content to Markdown format.\",\"base_classes\":[\"str\"],\"display_name\":\"HTML to Markdown\",\"custom_fields\":{\"html_content\":null,\"ignore_links\":null},\"output_types\":[\"str\"],\"documentation\":\"\",\"beta\":true,\"error\":null},\"id\":\"CustomComponent-f6nOg\"},\"selected\":true,\"positionAbsolute\":{\"x\":665.2835942536854,\"y\":-371.7823429271119},\"dragging\":false},{\"width\":384,\"height\":375,\"id\":\"CustomComponent-FGzJJ\",\"type\":\"genericNode\",\"position\":{\"x\":-464.4553400967736,\"y\":-225.62715888255525},\"data\":{\"type\":\"CustomComponent\",\"node\":{\"template\":{\"code\":{\"dynamic\":true,\"required\":true,\"placeholder\":\"\",\"show\":true,\"multiline\":true,\"value\":\"from langflow import CustomComponent\\nfrom langflow.field_typing import Data\\nimport requests\\n\\nclass FetchHTMLContent(CustomComponent):\\n display_name: str = \\\"Fetch HTML\\\"\\n description: str = \\\"Fetches HTML content from a specified URL.\\\"\\n \\n def build_config(self):\\n return {\\\"url\\\": {\\\"input_types\\\": [\\\"Data\\\", \\\"str\\\"]}} \\n\\n def build(self, url: str) -> Data:\\n response = requests.get(url)\\n self.status = str(response) + \\\"\\\\n\\\\n\\\" + response.text\\n return response.text\\n\",\"password\":false,\"name\":\"code\",\"advanced\":false,\"type\":\"code\",\"list\":false},\"_type\":\"CustomComponent\",\"url\":{\"required\":true,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"password\":false,\"name\":\"url\",\"display_name\":\"url\",\"advanced\":false,\"input_types\":[\"Data\",\"str\"],\"dynamic\":false,\"info\":\"\",\"type\":\"str\",\"list\":false,\"value\":\"\"}},\"description\":\"Fetches HTML content from a specified URL.\",\"base_classes\":[\"Data\"],\"display_name\":\"Fetch HTML\",\"custom_fields\":{\"url\":null},\"output_types\":[\"Data\"],\"documentation\":\"\",\"beta\":true,\"error\":null},\"id\":\"CustomComponent-FGzJJ\"},\"selected\":true,\"dragging\":false,\"positionAbsolute\":{\"x\":-464.4553400967736,\"y\":-225.62715888255525}},{\"width\":384,\"height\":329,\"id\":\"CustomComponent-0XtUN\",\"type\":\"genericNode\",\"position\":{\"x\":214.00059169497604,\"y\":177.27071061129823},\"data\":{\"type\":\"CustomComponent\",\"node\":{\"template\":{\"code\":{\"dynamic\":true,\"required\":true,\"placeholder\":\"\",\"show\":true,\"multiline\":true,\"value\":\"from bs4 import BeautifulSoup\\nfrom langflow import CustomComponent\\nfrom langflow.field_typing import Data\\n\\nclass ParseHTMLContent(CustomComponent):\\n display_name: str = \\\"Parse HTML\\\"\\n description: str = \\\"Parses HTML content using Beautiful Soup.\\\"\\n\\n def build(self, html_content: Data) -> Data:\\n soup = BeautifulSoup(html_content, 'html.parser')\\n self.status = soup\\n return soup\\n\",\"password\":false,\"name\":\"code\",\"advanced\":false,\"type\":\"code\",\"list\":false},\"_type\":\"CustomComponent\",\"html_content\":{\"required\":true,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"password\":false,\"name\":\"html_content\",\"display_name\":\"html_content\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"Data\",\"list\":false}},\"description\":\"Parses HTML content using Beautiful Soup.\",\"base_classes\":[\"Data\"],\"display_name\":\"Parse HTML\",\"custom_fields\":{\"html_content\":null},\"output_types\":[\"Data\"],\"documentation\":\"\",\"beta\":true,\"error\":null},\"id\":\"CustomComponent-0XtUN\"},\"selected\":true,\"dragging\":false,\"positionAbsolute\":{\"x\":214.00059169497604,\"y\":177.27071061129823}},{\"width\":384,\"height\":329,\"id\":\"CustomComponent-ODIcp\",\"type\":\"genericNode\",\"position\":{\"x\":845.0502195222412,\"y\":366.54344452019404},\"data\":{\"type\":\"CustomComponent\",\"node\":{\"template\":{\"code\":{\"dynamic\":true,\"required\":true,\"placeholder\":\"\",\"show\":true,\"multiline\":true,\"value\":\"from langflow import CustomComponent\\nfrom langflow.field_typing import Data\\n\\nclass ExtractHyperlinks(CustomComponent):\\n display_name: str = \\\"Extract Hyperlinks\\\"\\n description: str = \\\"Extracts hyperlinks from parsed HTML content.\\\"\\n\\n def build(self, soup: Data) -> list:\\n links = [link.get('href') for link in soup.find_all('a')]\\n self.status = links\\n return links\\n\",\"password\":false,\"name\":\"code\",\"advanced\":false,\"type\":\"code\",\"list\":false},\"_type\":\"CustomComponent\",\"soup\":{\"required\":true,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"password\":false,\"name\":\"soup\",\"display_name\":\"soup\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"Data\",\"list\":false}},\"description\":\"Extracts hyperlinks from parsed HTML content.\",\"base_classes\":[\"list\"],\"display_name\":\"Extract Hyperlinks\",\"custom_fields\":{\"soup\":null},\"output_types\":[\"list\"],\"documentation\":\"\",\"beta\":true,\"error\":null},\"id\":\"CustomComponent-ODIcp\"},\"selected\":true,\"positionAbsolute\":{\"x\":845.0502195222412,\"y\":366.54344452019404},\"dragging\":false},{\"width\":384,\"height\":657,\"id\":\"PromptTemplate-H9Udy\",\"type\":\"genericNode\",\"position\":{\"x\":2230.389721706283,\"y\":584.4905083765256},\"data\":{\"type\":\"PromptTemplate\",\"node\":{\"template\":{\"output_parser\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"password\":false,\"name\":\"output_parser\",\"advanced\":false,\"dynamic\":true,\"info\":\"\",\"type\":\"BaseOutputParser\",\"list\":false},\"input_types\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"password\":false,\"name\":\"input_types\",\"advanced\":false,\"dynamic\":true,\"info\":\"\",\"type\":\"dict\",\"list\":false},\"input_variables\":{\"required\":true,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"password\":false,\"name\":\"input_variables\",\"advanced\":false,\"dynamic\":true,\"info\":\"\",\"type\":\"str\",\"list\":true,\"value\":[\"url\",\"html_markdown\",\"html_links\",\"query\"]},\"partial_variables\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"password\":false,\"name\":\"partial_variables\",\"advanced\":false,\"dynamic\":true,\"info\":\"\",\"type\":\"dict\",\"list\":false},\"template\":{\"required\":true,\"placeholder\":\"\",\"show\":true,\"multiline\":true,\"password\":false,\"name\":\"template\",\"advanced\":false,\"dynamic\":true,\"info\":\"\",\"type\":\"prompt\",\"list\":false,\"value\":\"Below is the HTML content (as markdown) and hyperlinks extracted from {url}\\n\\n---\\n\\nContent:\\n\\n{html_markdown}\\n\\n---\\n\\nLinks:\\n\\n{html_links}\\n\\n---\\n\\nAnswer the user query as best as possible.\\n\\nUser query:\\n\\n{query}\\n\\nAnswer:\\n\"},\"template_format\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"value\":\"f-string\",\"password\":false,\"name\":\"template_format\",\"advanced\":false,\"dynamic\":true,\"info\":\"\",\"type\":\"str\",\"list\":false},\"validate_template\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"value\":false,\"password\":false,\"name\":\"validate_template\",\"advanced\":false,\"dynamic\":true,\"info\":\"\",\"type\":\"bool\",\"list\":false},\"_type\":\"PromptTemplate\",\"url\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":true,\"value\":\"\",\"password\":false,\"name\":\"url\",\"display_name\":\"url\",\"advanced\":false,\"input_types\":[\"Document\",\"BaseOutputParser\"],\"dynamic\":false,\"info\":\"\",\"type\":\"str\",\"list\":false},\"html_markdown\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":true,\"value\":\"\",\"password\":false,\"name\":\"html_markdown\",\"display_name\":\"html_markdown\",\"advanced\":false,\"input_types\":[\"Document\",\"BaseOutputParser\"],\"dynamic\":false,\"info\":\"\",\"type\":\"str\",\"list\":false},\"html_links\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":true,\"value\":\"\",\"password\":false,\"name\":\"html_links\",\"display_name\":\"html_links\",\"advanced\":false,\"input_types\":[\"Document\",\"BaseOutputParser\"],\"dynamic\":false,\"info\":\"\",\"type\":\"str\",\"list\":false},\"query\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":true,\"value\":\"\",\"password\":false,\"name\":\"query\",\"display_name\":\"query\",\"advanced\":false,\"input_types\":[\"Document\",\"BaseOutputParser\"],\"dynamic\":false,\"info\":\"\",\"type\":\"str\",\"list\":false}},\"description\":\"A prompt template for a language model.\",\"base_classes\":[\"StringPromptTemplate\",\"BasePromptTemplate\",\"PromptTemplate\"],\"name\":\"\",\"display_name\":\"PromptTemplate\",\"documentation\":\"https://python.langchain.com/docs/modules/model_io/prompts/prompt_templates/\",\"custom_fields\":{\"\":[\"url\",\"html_markdown\",\"html_links\",\"query\"]},\"output_types\":[],\"full_path\":null,\"field_formatters\":{},\"beta\":false,\"error\":null},\"id\":\"PromptTemplate-H9Udy\"},\"selected\":true,\"positionAbsolute\":{\"x\":2230.389721706283,\"y\":584.4905083765256},\"dragging\":false},{\"width\":384,\"height\":347,\"id\":\"CustomComponent-OACE0\",\"type\":\"genericNode\",\"position\":{\"x\":-1155.9497945157625,\"y\":198.13583204151553},\"data\":{\"type\":\"CustomComponent\",\"node\":{\"template\":{\"code\":{\"dynamic\":true,\"required\":true,\"placeholder\":\"\",\"show\":true,\"multiline\":true,\"value\":\"from langflow import CustomComponent\\nfrom langflow.field_typing import Data\\nimport requests\\n\\nclass FetchHTMLContent(CustomComponent):\\n display_name: str = \\\"URL Input\\\"\\n\\n def build(self, url: str) -> str:\\n return url\\n\",\"password\":false,\"name\":\"code\",\"advanced\":false,\"type\":\"code\",\"list\":false},\"_type\":\"CustomComponent\",\"url\":{\"required\":true,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"password\":false,\"name\":\"url\",\"display_name\":\"url\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"str\",\"list\":false}},\"description\":null,\"base_classes\":[\"str\"],\"display_name\":\"URL Input\",\"custom_fields\":{\"url\":null},\"output_types\":[\"str\"],\"documentation\":\"\",\"beta\":true,\"error\":null},\"id\":\"CustomComponent-OACE0\"},\"selected\":true,\"positionAbsolute\":{\"x\":-1155.9497945157625,\"y\":198.13583204151553},\"dragging\":false},{\"width\":384,\"height\":329,\"id\":\"CustomComponent-whsQ5\",\"type\":\"genericNode\",\"position\":{\"x\":1396.5574076376327,\"y\":694.8308714574463},\"data\":{\"type\":\"CustomComponent\",\"node\":{\"template\":{\"code\":{\"dynamic\":true,\"required\":true,\"placeholder\":\"\",\"show\":true,\"multiline\":true,\"value\":\"from langflow import CustomComponent\\n\\nclass ListToMarkdownBullets(CustomComponent):\\n display_name: str = \\\"List to Bullets\\\"\\n description: str = \\\"Converts a Python list into Markdown bullet points.\\\"\\n\\n def build(self, items: list) -> str:\\n markdown_bullets = '\\\\n'.join(f'* {item}' for item in items)\\n return markdown_bullets\\n\",\"password\":false,\"name\":\"code\",\"advanced\":false,\"type\":\"code\",\"list\":false},\"_type\":\"CustomComponent\",\"items\":{\"required\":true,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"password\":false,\"name\":\"items\",\"display_name\":\"items\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"list\",\"list\":true}},\"description\":\"Converts a Python list into Markdown bullet points.\",\"base_classes\":[\"str\"],\"display_name\":\"List to Bullets\",\"custom_fields\":{\"items\":null},\"output_types\":[\"str\"],\"documentation\":\"\",\"beta\":true,\"error\":null},\"id\":\"CustomComponent-whsQ5\"},\"selected\":true,\"positionAbsolute\":{\"x\":1396.5574076376327,\"y\":694.8308714574463},\"dragging\":false}],\"edges\":[{\"source\":\"CustomComponent-FGzJJ\",\"sourceHandle\":\"{œbaseClassesœ:[œDataœ],œdataTypeœ:œCustomComponentœ,œidœ:œCustomComponent-FGzJJœ}\",\"target\":\"CustomComponent-f6nOg\",\"targetHandle\":\"{œfieldNameœ:œhtml_contentœ,œidœ:œCustomComponent-f6nOgœ,œinputTypesœ:null,œtypeœ:œDataœ}\",\"data\":{\"targetHandle\":{\"fieldName\":\"html_content\",\"id\":\"CustomComponent-f6nOg\",\"inputTypes\":null,\"type\":\"Data\"},\"sourceHandle\":{\"baseClasses\":[\"Data\"],\"dataType\":\"CustomComponent\",\"id\":\"CustomComponent-FGzJJ\"}},\"style\":{\"stroke\":\"#555\"},\"className\":\"stroke-foreground stroke-connection\",\"animated\":false,\"id\":\"reactflow__edge-CustomComponent-FGzJJ{œbaseClassesœ:[œDataœ],œdataTypeœ:œCustomComponentœ,œidœ:œCustomComponent-FGzJJœ}-CustomComponent-f6nOg{œfieldNameœ:œhtml_contentœ,œidœ:œCustomComponent-f6nOgœ,œinputTypesœ:null,œtypeœ:œDataœ}\",\"selected\":true},{\"source\":\"CustomComponent-FGzJJ\",\"sourceHandle\":\"{œbaseClassesœ:[œDataœ],œdataTypeœ:œCustomComponentœ,œidœ:œCustomComponent-FGzJJœ}\",\"target\":\"CustomComponent-0XtUN\",\"targetHandle\":\"{œfieldNameœ:œhtml_contentœ,œidœ:œCustomComponent-0XtUNœ,œinputTypesœ:null,œtypeœ:œDataœ}\",\"data\":{\"targetHandle\":{\"fieldName\":\"html_content\",\"id\":\"CustomComponent-0XtUN\",\"inputTypes\":null,\"type\":\"Data\"},\"sourceHandle\":{\"baseClasses\":[\"Data\"],\"dataType\":\"CustomComponent\",\"id\":\"CustomComponent-FGzJJ\"}},\"style\":{\"stroke\":\"#555\"},\"className\":\"stroke-foreground stroke-connection\",\"animated\":false,\"id\":\"reactflow__edge-CustomComponent-FGzJJ{œbaseClassesœ:[œDataœ],œdataTypeœ:œCustomComponentœ,œidœ:œCustomComponent-FGzJJœ}-CustomComponent-0XtUN{œfieldNameœ:œhtml_contentœ,œidœ:œCustomComponent-0XtUNœ,œinputTypesœ:null,œtypeœ:œDataœ}\",\"selected\":true},{\"source\":\"CustomComponent-0XtUN\",\"sourceHandle\":\"{œbaseClassesœ:[œDataœ],œdataTypeœ:œCustomComponentœ,œidœ:œCustomComponent-0XtUNœ}\",\"target\":\"CustomComponent-ODIcp\",\"targetHandle\":\"{œfieldNameœ:œsoupœ,œidœ:œCustomComponent-ODIcpœ,œinputTypesœ:null,œtypeœ:œDataœ}\",\"data\":{\"targetHandle\":{\"fieldName\":\"soup\",\"id\":\"CustomComponent-ODIcp\",\"inputTypes\":null,\"type\":\"Data\"},\"sourceHandle\":{\"baseClasses\":[\"Data\"],\"dataType\":\"CustomComponent\",\"id\":\"CustomComponent-0XtUN\"}},\"style\":{\"stroke\":\"#555\"},\"className\":\"stroke-foreground stroke-connection\",\"animated\":false,\"id\":\"reactflow__edge-CustomComponent-0XtUN{œbaseClassesœ:[œDataœ],œdataTypeœ:œCustomComponentœ,œidœ:œCustomComponent-0XtUNœ}-CustomComponent-ODIcp{œfieldNameœ:œsoupœ,œidœ:œCustomComponent-ODIcpœ,œinputTypesœ:null,œtypeœ:œDataœ}\",\"selected\":true},{\"source\":\"CustomComponent-OACE0\",\"sourceHandle\":\"{œbaseClassesœ:[œstrœ],œdataTypeœ:œCustomComponentœ,œidœ:œCustomComponent-OACE0œ}\",\"target\":\"CustomComponent-FGzJJ\",\"targetHandle\":\"{œfieldNameœ:œurlœ,œidœ:œCustomComponent-FGzJJœ,œinputTypesœ:[œDataœ,œstrœ],œtypeœ:œstrœ}\",\"data\":{\"targetHandle\":{\"fieldName\":\"url\",\"id\":\"CustomComponent-FGzJJ\",\"inputTypes\":[\"Data\",\"str\"],\"type\":\"str\"},\"sourceHandle\":{\"baseClasses\":[\"str\"],\"dataType\":\"CustomComponent\",\"id\":\"CustomComponent-OACE0\"}},\"style\":{\"stroke\":\"#555\"},\"className\":\"stroke-foreground stroke-connection\",\"animated\":false,\"id\":\"reactflow__edge-CustomComponent-OACE0{œbaseClassesœ:[œstrœ],œdataTypeœ:œCustomComponentœ,œidœ:œCustomComponent-OACE0œ}-CustomComponent-FGzJJ{œfieldNameœ:œurlœ,œidœ:œCustomComponent-FGzJJœ,œinputTypesœ:[œDataœ,œstrœ],œtypeœ:œstrœ}\",\"selected\":true},{\"source\":\"CustomComponent-OACE0\",\"sourceHandle\":\"{œbaseClassesœ:[œstrœ],œdataTypeœ:œCustomComponentœ,œidœ:œCustomComponent-OACE0œ}\",\"target\":\"PromptTemplate-H9Udy\",\"targetHandle\":\"{œfieldNameœ:œurlœ,œidœ:œPromptTemplate-H9Udyœ,œinputTypesœ:[œDocumentœ,œBaseOutputParserœ],œtypeœ:œstrœ}\",\"data\":{\"targetHandle\":{\"fieldName\":\"url\",\"id\":\"PromptTemplate-H9Udy\",\"inputTypes\":[\"Document\",\"BaseOutputParser\"],\"type\":\"str\"},\"sourceHandle\":{\"baseClasses\":[\"str\"],\"dataType\":\"CustomComponent\",\"id\":\"CustomComponent-OACE0\"}},\"style\":{\"stroke\":\"#555\"},\"className\":\"stroke-foreground stroke-connection\",\"animated\":false,\"id\":\"reactflow__edge-CustomComponent-OACE0{œbaseClassesœ:[œstrœ],œdataTypeœ:œCustomComponentœ,œidœ:œCustomComponent-OACE0œ}-PromptTemplate-H9Udy{œfieldNameœ:œurlœ,œidœ:œPromptTemplate-H9Udyœ,œinputTypesœ:[œDocumentœ,œBaseOutputParserœ],œtypeœ:œstrœ}\",\"selected\":true},{\"source\":\"CustomComponent-ODIcp\",\"sourceHandle\":\"{œbaseClassesœ:[œlistœ],œdataTypeœ:œCustomComponentœ,œidœ:œCustomComponent-ODIcpœ}\",\"target\":\"CustomComponent-whsQ5\",\"targetHandle\":\"{œfieldNameœ:œitemsœ,œidœ:œCustomComponent-whsQ5œ,œinputTypesœ:null,œtypeœ:œlistœ}\",\"data\":{\"targetHandle\":{\"fieldName\":\"items\",\"id\":\"CustomComponent-whsQ5\",\"inputTypes\":null,\"type\":\"list\"},\"sourceHandle\":{\"baseClasses\":[\"list\"],\"dataType\":\"CustomComponent\",\"id\":\"CustomComponent-ODIcp\"}},\"style\":{\"stroke\":\"#555\"},\"className\":\"stroke-foreground stroke-connection\",\"animated\":false,\"id\":\"reactflow__edge-CustomComponent-ODIcp{œbaseClassesœ:[œlistœ],œdataTypeœ:œCustomComponentœ,œidœ:œCustomComponent-ODIcpœ}-CustomComponent-whsQ5{œfieldNameœ:œitemsœ,œidœ:œCustomComponent-whsQ5œ,œinputTypesœ:null,œtypeœ:œlistœ}\",\"selected\":true},{\"source\":\"CustomComponent-whsQ5\",\"sourceHandle\":\"{œbaseClassesœ:[œstrœ],œdataTypeœ:œCustomComponentœ,œidœ:œCustomComponent-whsQ5œ}\",\"target\":\"PromptTemplate-H9Udy\",\"targetHandle\":\"{œfieldNameœ:œhtml_linksœ,œidœ:œPromptTemplate-H9Udyœ,œinputTypesœ:[œDocumentœ,œBaseOutputParserœ],œtypeœ:œstrœ}\",\"data\":{\"targetHandle\":{\"fieldName\":\"html_links\",\"id\":\"PromptTemplate-H9Udy\",\"inputTypes\":[\"Document\",\"BaseOutputParser\"],\"type\":\"str\"},\"sourceHandle\":{\"baseClasses\":[\"str\"],\"dataType\":\"CustomComponent\",\"id\":\"CustomComponent-whsQ5\"}},\"style\":{\"stroke\":\"#555\"},\"className\":\"stroke-foreground stroke-connection\",\"animated\":false,\"id\":\"reactflow__edge-CustomComponent-whsQ5{œbaseClassesœ:[œstrœ],œdataTypeœ:œCustomComponentœ,œidœ:œCustomComponent-whsQ5œ}-PromptTemplate-H9Udy{œfieldNameœ:œhtml_linksœ,œidœ:œPromptTemplate-H9Udyœ,œinputTypesœ:[œDocumentœ,œBaseOutputParserœ],œtypeœ:œstrœ}\",\"selected\":true},{\"source\":\"CustomComponent-f6nOg\",\"sourceHandle\":\"{œbaseClassesœ:[œstrœ],œdataTypeœ:œCustomComponentœ,œidœ:œCustomComponent-f6nOgœ}\",\"target\":\"PromptTemplate-H9Udy\",\"targetHandle\":\"{œfieldNameœ:œhtml_markdownœ,œidœ:œPromptTemplate-H9Udyœ,œinputTypesœ:[œDocumentœ,œBaseOutputParserœ],œtypeœ:œstrœ}\",\"data\":{\"targetHandle\":{\"fieldName\":\"html_markdown\",\"id\":\"PromptTemplate-H9Udy\",\"inputTypes\":[\"Document\",\"BaseOutputParser\"],\"type\":\"str\"},\"sourceHandle\":{\"baseClasses\":[\"str\"],\"dataType\":\"CustomComponent\",\"id\":\"CustomComponent-f6nOg\"}},\"style\":{\"stroke\":\"#555\"},\"className\":\"stroke-foreground stroke-connection\",\"animated\":false,\"id\":\"reactflow__edge-CustomComponent-f6nOg{œbaseClassesœ:[œstrœ],œdataTypeœ:œCustomComponentœ,œidœ:œCustomComponent-f6nOgœ}-PromptTemplate-H9Udy{œfieldNameœ:œhtml_markdownœ,œidœ:œPromptTemplate-H9Udyœ,œinputTypesœ:[œDocumentœ,œBaseOutputParserœ],œtypeœ:œstrœ}\",\"selected\":true}],\"viewport\":{\"x\":343.0346131188585,\"y\":341.89843948642147,\"zoom\":0.24148408223121196}},\"is_component\":false,\"name\":\"Fluffy Ptolemy\",\"description\":\"\",\"id\":\"W5oNW\"}}},\"selected\":false,\"positionAbsolute\":{\"x\":-222,\"y\":682.560723386973}}],\"edges\":[{\"source\":\"ChatOpenAI-NTTcv\",\"target\":\"LLMChain-RQsU1\",\"sourceHandle\":\"{œbaseClassesœ:[œBaseLanguageModelœ,œChatOpenAIœ,œBaseChatModelœ,œBaseLLMœ],œdataTypeœ:œChatOpenAIœ,œidœ:œChatOpenAI-NTTcvœ}\",\"targetHandle\":\"{œfieldNameœ:œllmœ,œidœ:œLLMChain-RQsU1œ,œinputTypesœ:null,œtypeœ:œBaseLanguageModelœ}\",\"id\":\"reactflow__edge-ChatOpenAI-NTTcv{œbaseClassesœ:[œBaseLanguageModelœ,œChatOpenAIœ,œBaseChatModelœ,œBaseLLMœ],œdataTypeœ:œChatOpenAIœ,œidœ:œChatOpenAI-NTTcvœ}-LLMChain-RQsU1{œfieldNameœ:œllmœ,œidœ:œLLMChain-RQsU1œ,œinputTypesœ:null,œtypeœ:œBaseLanguageModelœ}\",\"data\":{\"targetHandle\":{\"fieldName\":\"llm\",\"id\":\"LLMChain-RQsU1\",\"inputTypes\":null,\"type\":\"BaseLanguageModel\"},\"sourceHandle\":{\"baseClasses\":[\"BaseLanguageModel\",\"ChatOpenAI\",\"BaseChatModel\",\"BaseLLM\"],\"dataType\":\"ChatOpenAI\",\"id\":\"ChatOpenAI-NTTcv\"}},\"style\":{\"stroke\":\"#555\"},\"className\":\"stroke-gray-900 \",\"animated\":false,\"selected\":false},{\"source\":\"PromptTemplate-VELMV\",\"target\":\"LLMChain-RQsU1\",\"sourceHandle\":\"{œbaseClassesœ:[œStringPromptTemplateœ,œBasePromptTemplateœ,œPromptTemplateœ],œdataTypeœ:œPromptTemplateœ,œidœ:œPromptTemplate-VELMVœ}\",\"targetHandle\":\"{œfieldNameœ:œpromptœ,œidœ:œLLMChain-RQsU1œ,œinputTypesœ:null,œtypeœ:œBasePromptTemplateœ}\",\"id\":\"reactflow__edge-PromptTemplate-VELMV{œbaseClassesœ:[œStringPromptTemplateœ,œBasePromptTemplateœ,œPromptTemplateœ],œdataTypeœ:œPromptTemplateœ,œidœ:œPromptTemplate-VELMVœ}-LLMChain-RQsU1{œfieldNameœ:œpromptœ,œidœ:œLLMChain-RQsU1œ,œinputTypesœ:null,œtypeœ:œBasePromptTemplateœ}\",\"data\":{\"targetHandle\":{\"fieldName\":\"prompt\",\"id\":\"LLMChain-RQsU1\",\"inputTypes\":null,\"type\":\"BasePromptTemplate\"},\"sourceHandle\":{\"baseClasses\":[\"StringPromptTemplate\",\"BasePromptTemplate\",\"PromptTemplate\"],\"dataType\":\"PromptTemplate\",\"id\":\"PromptTemplate-VELMV\"}},\"style\":{\"stroke\":\"#555\"},\"className\":\"stroke-gray-900 \",\"animated\":false,\"selected\":false}],\"viewport\":{\"x\":298.29888454238517,\"y\":96.95765543775741,\"zoom\":0.5140569133280332}},\"is_component\":false,\"updated_at\":\"2023-12-04T23:23:08.584967\",\"folder\":null,\"id\":\"5df79f1d-f592-4d59-8c0f-9f3c2f6465b1\",\"user_id\":\"d253bfba-6368-44dc-85f7-0d6da9e45968\"},{\"name\":\"Silly Pasteur\",\"description\":\"Nurture NLP Nodes Here.\",\"data\":{\"nodes\":[{\"width\":384,\"height\":338,\"id\":\"LLMChain-cHel8\",\"type\":\"genericNode\",\"position\":{\"x\":547.3876889720291,\"y\":299.2057833881307},\"data\":{\"type\":\"LLMChain\",\"node\":{\"template\":{\"code\":{\"dynamic\":true,\"required\":true,\"placeholder\":\"\",\"show\":false,\"multiline\":true,\"value\":\"from typing import Callable, Optional, Union\\n\\nfrom langchain.chains import LLMChain\\n\\nfrom langflow import CustomComponent\\nfrom langflow.field_typing import (\\n BaseLanguageModel,\\n BaseMemory,\\n BasePromptTemplate,\\n Chain,\\n)\\n\\n\\nclass LLMChainComponent(CustomComponent):\\n display_name = \\\"LLMChain\\\"\\n description = \\\"Chain to run queries against LLMs\\\"\\n\\n def build_config(self):\\n return {\\n \\\"prompt\\\": {\\\"display_name\\\": \\\"Prompt\\\"},\\n \\\"llm\\\": {\\\"display_name\\\": \\\"LLM\\\"},\\n \\\"memory\\\": {\\\"display_name\\\": \\\"Memory\\\"},\\n \\\"code\\\": {\\\"show\\\": False},\\n }\\n\\n def build(\\n self,\\n prompt: BasePromptTemplate,\\n llm: BaseLanguageModel,\\n memory: Optional[BaseMemory] = None,\\n ) -> Union[Chain, Callable]:\\n return LLMChain(prompt=prompt, llm=llm, memory=memory)\\n\",\"password\":false,\"name\":\"code\",\"advanced\":false,\"type\":\"code\",\"list\":false},\"_type\":\"CustomComponent\",\"llm\":{\"required\":true,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"password\":false,\"name\":\"llm\",\"display_name\":\"LLM\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"BaseLanguageModel\",\"list\":false},\"memory\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"password\":false,\"name\":\"memory\",\"display_name\":\"Memory\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"BaseMemory\",\"list\":false},\"prompt\":{\"required\":true,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"password\":false,\"name\":\"prompt\",\"display_name\":\"Prompt\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"BasePromptTemplate\",\"list\":false}},\"description\":\"Chain to run queries against LLMs\",\"base_classes\":[\"Chain\",\"Callable\"],\"display_name\":\"LLMChain\",\"custom_fields\":{\"llm\":null,\"memory\":null,\"prompt\":null},\"output_types\":[\"LLMChain\"],\"documentation\":\"\",\"beta\":true,\"error\":null},\"id\":\"LLMChain-cHel8\"},\"selected\":false,\"positionAbsolute\":{\"x\":547.3876889720291,\"y\":299.2057833881307},\"dragging\":false},{\"width\":384,\"height\":626,\"id\":\"ChatOpenAI-LA6y0\",\"type\":\"genericNode\",\"position\":{\"x\":-272.94405331278074,\"y\":-603.148171441675},\"data\":{\"type\":\"ChatOpenAI\",\"node\":{\"template\":{\"callbacks\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"password\":false,\"name\":\"callbacks\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"langchain_core.callbacks.base.BaseCallbackHandler\",\"list\":true},\"async_client\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"password\":false,\"name\":\"async_client\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"Any\",\"list\":false},\"cache\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"password\":false,\"name\":\"cache\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"bool\",\"list\":false},\"client\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"password\":false,\"name\":\"client\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"Any\",\"list\":false},\"default_headers\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"password\":false,\"name\":\"default_headers\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"dict\",\"list\":false},\"default_query\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"password\":false,\"name\":\"default_query\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"dict\",\"list\":false},\"http_client\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"password\":false,\"name\":\"http_client\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"Any\",\"list\":false},\"max_retries\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"value\":2,\"password\":false,\"name\":\"max_retries\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"int\",\"list\":false},\"max_tokens\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"password\":true,\"name\":\"max_tokens\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"int\",\"list\":false},\"metadata\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"password\":false,\"name\":\"metadata\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"dict\",\"list\":false},\"model_kwargs\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"password\":false,\"name\":\"model_kwargs\",\"advanced\":true,\"dynamic\":false,\"info\":\"\",\"type\":\"dict\",\"list\":false},\"model_name\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"value\":\"gpt-4-1106-preview\",\"password\":false,\"options\":[\"gpt-4-1106-preview\",\"gpt-4\",\"gpt-4-32k\",\"gpt-3.5-turbo\",\"gpt-3.5-turbo-16k\"],\"name\":\"model_name\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"str\",\"list\":true},\"n\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"value\":1,\"password\":false,\"name\":\"n\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"int\",\"list\":false},\"openai_api_base\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"password\":false,\"name\":\"openai_api_base\",\"display_name\":\"OpenAI API Base\",\"advanced\":false,\"dynamic\":false,\"info\":\"\\nThe base URL of the OpenAI API. Defaults to https://api.openai.com/v1.\\n\\nYou can change this to use other APIs like JinaChat, LocalAI and Prem.\\n\",\"type\":\"str\",\"list\":false},\"openai_api_key\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"value\":\"sk-...\",\"password\":true,\"name\":\"openai_api_key\",\"display_name\":\"OpenAI API Key\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"str\",\"list\":false},\"openai_organization\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"password\":false,\"name\":\"openai_organization\",\"display_name\":\"OpenAI Organization\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"str\",\"list\":false},\"openai_proxy\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"password\":false,\"name\":\"openai_proxy\",\"display_name\":\"OpenAI Proxy\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"str\",\"list\":false},\"request_timeout\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"password\":false,\"name\":\"request_timeout\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"float\",\"list\":false},\"streaming\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"value\":false,\"password\":false,\"name\":\"streaming\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"bool\",\"list\":false},\"tags\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"password\":false,\"name\":\"tags\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"str\",\"list\":true},\"temperature\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"value\":\"0.1\",\"password\":false,\"name\":\"temperature\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"float\",\"list\":false},\"tiktoken_model_name\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"password\":false,\"name\":\"tiktoken_model_name\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"str\",\"list\":false},\"verbose\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"value\":false,\"password\":false,\"name\":\"verbose\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"bool\",\"list\":false},\"_type\":\"ChatOpenAI\"},\"description\":\"`OpenAI` Chat large language models API.\",\"base_classes\":[\"BaseLanguageModel\",\"ChatOpenAI\",\"BaseChatModel\",\"BaseLLM\"],\"display_name\":\"ChatOpenAI\",\"custom_fields\":{},\"output_types\":[],\"documentation\":\"https://python.langchain.com/docs/modules/model_io/models/chat/integrations/openai\",\"beta\":false,\"error\":null},\"id\":\"ChatOpenAI-LA6y0\"},\"selected\":false,\"dragging\":false,\"positionAbsolute\":{\"x\":-272.94405331278074,\"y\":-603.148171441675}},{\"width\":384,\"height\":404,\"id\":\"CustomComponent-ZNoRM\",\"type\":\"genericNode\",\"position\":{\"x\":-103.65741264289085,\"y\":134.62332404764658},\"data\":{\"type\":\"CustomComponent\",\"node\":{\"template\":{\"code\":{\"dynamic\":true,\"required\":true,\"placeholder\":\"\",\"show\":true,\"multiline\":true,\"value\":\"from langflow import CustomComponent\\nfrom langflow.field_typing import Data\\nimport html2text\\n\\nclass ConvertHTMLToMarkdown(CustomComponent):\\n display_name: str = \\\"HTML to Markdown\\\"\\n description: str = \\\"Converts HTML content to Markdown format.\\\"\\n\\n def build(self, html_content: Data, ignore_links: bool = False) -> str:\\n converter = html2text.HTML2Text()\\n converter.ignore_links = ignore_links\\n markdown_text = converter.handle(html_content)\\n self.status = markdown_text\\n return markdown_text\\n\",\"password\":false,\"name\":\"code\",\"advanced\":false,\"type\":\"code\",\"list\":false,\"display_name\":\"code\"},\"_type\":\"CustomComponent\",\"html_content\":{\"required\":true,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"password\":false,\"name\":\"html_content\",\"display_name\":\"html_content\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"Data\",\"list\":false},\"ignore_links\":{\"required\":true,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"value\":false,\"password\":false,\"name\":\"ignore_links\",\"display_name\":\"ignore_links\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"bool\",\"list\":false}},\"description\":\"Converts HTML content to Markdown format.\",\"base_classes\":[\"str\"],\"display_name\":\"HTML to Markdown\",\"custom_fields\":{\"html_content\":null,\"ignore_links\":null},\"output_types\":[\"str\"],\"documentation\":\"\",\"beta\":true,\"error\":null},\"id\":\"CustomComponent-ZNoRM\"},\"selected\":false,\"positionAbsolute\":{\"x\":-103.65741264289085,\"y\":134.62332404764658},\"dragging\":false},{\"width\":384,\"height\":374,\"id\":\"CustomComponent-zNSTv\",\"type\":\"genericNode\",\"position\":{\"x\":-1233.3963469933499,\"y\":280.77850809220325},\"data\":{\"type\":\"CustomComponent\",\"node\":{\"template\":{\"code\":{\"dynamic\":true,\"required\":true,\"placeholder\":\"\",\"show\":true,\"multiline\":true,\"value\":\"from langflow import CustomComponent\\nfrom langflow.field_typing import Data\\nimport requests\\n\\nclass FetchHTMLContent(CustomComponent):\\n display_name: str = \\\"Fetch HTML\\\"\\n description: str = \\\"Fetches HTML content from a specified URL.\\\"\\n \\n def build_config(self):\\n return {\\\"url\\\": {\\\"input_types\\\": [\\\"Data\\\", \\\"str\\\"]}} \\n\\n def build(self, url: str) -> Data:\\n response = requests.get(url)\\n self.status = str(response) + \\\"\\\\n\\\\n\\\" + response.text\\n return response.text\\n\",\"password\":false,\"name\":\"code\",\"advanced\":false,\"type\":\"code\",\"list\":false,\"display_name\":\"code\"},\"_type\":\"CustomComponent\",\"url\":{\"required\":true,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"password\":false,\"name\":\"url\",\"display_name\":\"url\",\"advanced\":false,\"input_types\":[\"Data\",\"str\"],\"dynamic\":false,\"info\":\"\",\"type\":\"str\",\"list\":false,\"value\":\"\"}},\"description\":\"Fetches HTML content from a specified URL.\",\"base_classes\":[\"Data\"],\"display_name\":\"Fetch HTML\",\"custom_fields\":{\"url\":null},\"output_types\":[\"Data\"],\"documentation\":\"\",\"beta\":true,\"error\":null},\"id\":\"CustomComponent-zNSTv\"},\"selected\":false,\"dragging\":false,\"positionAbsolute\":{\"x\":-1233.3963469933499,\"y\":280.77850809220325}},{\"width\":384,\"height\":328,\"id\":\"CustomComponent-Ihm2o\",\"type\":\"genericNode\",\"position\":{\"x\":-554.9404152016002,\"y\":683.6763775860567},\"data\":{\"type\":\"CustomComponent\",\"node\":{\"template\":{\"code\":{\"dynamic\":true,\"required\":true,\"placeholder\":\"\",\"show\":true,\"multiline\":true,\"value\":\"from bs4 import BeautifulSoup\\nfrom langflow import CustomComponent\\nfrom langflow.field_typing import Data\\n\\nclass ParseHTMLContent(CustomComponent):\\n display_name: str = \\\"Parse HTML\\\"\\n description: str = \\\"Parses HTML content using Beautiful Soup.\\\"\\n\\n def build(self, html_content: Data) -> Data:\\n soup = BeautifulSoup(html_content, 'html.parser')\\n self.status = soup\\n return soup\\n\",\"password\":false,\"name\":\"code\",\"advanced\":false,\"type\":\"code\",\"list\":false,\"display_name\":\"code\"},\"_type\":\"CustomComponent\",\"html_content\":{\"required\":true,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"password\":false,\"name\":\"html_content\",\"display_name\":\"html_content\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"Data\",\"list\":false}},\"description\":\"Parses HTML content using Beautiful Soup.\",\"base_classes\":[\"Data\"],\"display_name\":\"Parse HTML\",\"custom_fields\":{\"html_content\":null},\"output_types\":[\"Data\"],\"documentation\":\"\",\"beta\":true,\"error\":null},\"id\":\"CustomComponent-Ihm2o\"},\"selected\":false,\"dragging\":false,\"positionAbsolute\":{\"x\":-554.9404152016002,\"y\":683.6763775860567}},{\"width\":384,\"height\":328,\"id\":\"CustomComponent-6ST9l\",\"type\":\"genericNode\",\"position\":{\"x\":76.10921262566495,\"y\":872.9491114949525},\"data\":{\"type\":\"CustomComponent\",\"node\":{\"template\":{\"code\":{\"dynamic\":true,\"required\":true,\"placeholder\":\"\",\"show\":true,\"multiline\":true,\"value\":\"from langflow import CustomComponent\\nfrom langflow.field_typing import Data\\n\\nclass ExtractHyperlinks(CustomComponent):\\n display_name: str = \\\"Extract Hyperlinks\\\"\\n description: str = \\\"Extracts hyperlinks from parsed HTML content.\\\"\\n\\n def build(self, soup: Data) -> list:\\n links = [link.get('href') for link in soup.find_all('a')]\\n self.status = links\\n return links\\n\",\"password\":false,\"name\":\"code\",\"advanced\":false,\"type\":\"code\",\"list\":false,\"display_name\":\"code\"},\"_type\":\"CustomComponent\",\"soup\":{\"required\":true,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"password\":false,\"name\":\"soup\",\"display_name\":\"soup\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"Data\",\"list\":false}},\"description\":\"Extracts hyperlinks from parsed HTML content.\",\"base_classes\":[\"list\"],\"display_name\":\"Extract Hyperlinks\",\"custom_fields\":{\"soup\":null},\"output_types\":[\"list\"],\"documentation\":\"\",\"beta\":true,\"error\":null},\"id\":\"CustomComponent-6ST9l\"},\"selected\":false,\"positionAbsolute\":{\"x\":76.10921262566495,\"y\":872.9491114949525},\"dragging\":false},{\"width\":384,\"height\":654,\"id\":\"PromptTemplate-l35W1\",\"type\":\"genericNode\",\"position\":{\"x\":1461.4487148097069,\"y\":1090.896175351284},\"data\":{\"type\":\"PromptTemplate\",\"node\":{\"template\":{\"output_parser\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"password\":false,\"name\":\"output_parser\",\"advanced\":false,\"dynamic\":true,\"info\":\"\",\"type\":\"BaseOutputParser\",\"list\":false,\"display_name\":\"output_parser\"},\"input_types\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"password\":false,\"name\":\"input_types\",\"advanced\":false,\"dynamic\":true,\"info\":\"\",\"type\":\"dict\",\"list\":false,\"display_name\":\"input_types\"},\"input_variables\":{\"required\":true,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"password\":false,\"name\":\"input_variables\",\"advanced\":false,\"dynamic\":true,\"info\":\"\",\"type\":\"str\",\"list\":true,\"value\":[\"url\",\"html_markdown\",\"html_links\",\"query\"],\"display_name\":\"input_variables\"},\"partial_variables\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"password\":false,\"name\":\"partial_variables\",\"advanced\":false,\"dynamic\":true,\"info\":\"\",\"type\":\"dict\",\"list\":false,\"display_name\":\"partial_variables\"},\"template\":{\"required\":true,\"placeholder\":\"\",\"show\":true,\"multiline\":true,\"password\":false,\"name\":\"template\",\"advanced\":false,\"dynamic\":true,\"info\":\"\",\"type\":\"prompt\",\"list\":false,\"value\":\"Below is the HTML content (as markdown) and hyperlinks extracted from {url}\\n\\n---\\n\\nContent:\\n\\n{html_markdown}\\n\\n---\\n\\nLinks:\\n\\n{html_links}\\n\\n---\\n\\nAnswer the user query as best as possible.\\n\\nUser query:\\n\\n{query}\\n\\nAnswer:\\n\",\"display_name\":\"template\"},\"template_format\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"value\":\"f-string\",\"password\":false,\"name\":\"template_format\",\"advanced\":false,\"dynamic\":true,\"info\":\"\",\"type\":\"str\",\"list\":false,\"display_name\":\"template_format\"},\"validate_template\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"value\":false,\"password\":false,\"name\":\"validate_template\",\"advanced\":false,\"dynamic\":true,\"info\":\"\",\"type\":\"bool\",\"list\":false,\"display_name\":\"validate_template\"},\"_type\":\"PromptTemplate\",\"url\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":true,\"value\":\"\",\"password\":false,\"name\":\"url\",\"display_name\":\"url\",\"advanced\":false,\"input_types\":[\"Document\",\"BaseOutputParser\"],\"dynamic\":false,\"info\":\"\",\"type\":\"str\",\"list\":false},\"html_markdown\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":true,\"value\":\"\",\"password\":false,\"name\":\"html_markdown\",\"display_name\":\"html_markdown\",\"advanced\":false,\"input_types\":[\"Document\",\"BaseOutputParser\"],\"dynamic\":false,\"info\":\"\",\"type\":\"str\",\"list\":false},\"html_links\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":true,\"value\":\"\",\"password\":false,\"name\":\"html_links\",\"display_name\":\"html_links\",\"advanced\":false,\"input_types\":[\"Document\",\"BaseOutputParser\"],\"dynamic\":false,\"info\":\"\",\"type\":\"str\",\"list\":false},\"query\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":true,\"value\":\"\",\"password\":false,\"name\":\"query\",\"display_name\":\"query\",\"advanced\":false,\"input_types\":[\"Document\",\"BaseOutputParser\"],\"dynamic\":false,\"info\":\"\",\"type\":\"str\",\"list\":false}},\"description\":\"A prompt template for a language model.\",\"base_classes\":[\"StringPromptTemplate\",\"BasePromptTemplate\",\"PromptTemplate\"],\"name\":\"\",\"display_name\":\"PromptTemplate\",\"documentation\":\"https://python.langchain.com/docs/modules/model_io/prompts/prompt_templates/\",\"custom_fields\":{\"\":[\"url\",\"html_markdown\",\"html_links\",\"query\"]},\"output_types\":[],\"full_path\":null,\"field_formatters\":{},\"beta\":false,\"error\":null},\"id\":\"PromptTemplate-l35W1\"},\"selected\":false,\"positionAbsolute\":{\"x\":1461.4487148097069,\"y\":1090.896175351284},\"dragging\":false},{\"width\":384,\"height\":346,\"id\":\"CustomComponent-iTLf4\",\"type\":\"genericNode\",\"position\":{\"x\":-1924.8908014123388,\"y\":704.5414990162741},\"data\":{\"type\":\"CustomComponent\",\"node\":{\"template\":{\"code\":{\"dynamic\":true,\"required\":true,\"placeholder\":\"\",\"show\":true,\"multiline\":true,\"value\":\"from langflow import CustomComponent\\nfrom langflow.field_typing import Data\\nimport requests\\n\\nclass FetchHTMLContent(CustomComponent):\\n display_name: str = \\\"URL Input\\\"\\n\\n def build(self, url: str) -> str:\\n return url\\n\",\"password\":false,\"name\":\"code\",\"advanced\":false,\"type\":\"code\",\"list\":false,\"display_name\":\"code\"},\"_type\":\"CustomComponent\",\"url\":{\"required\":true,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"password\":false,\"name\":\"url\",\"display_name\":\"url\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"str\",\"list\":false,\"value\":\"https://paperswithcode.com/\"}},\"description\":null,\"base_classes\":[\"str\"],\"display_name\":\"URL Input\",\"custom_fields\":{\"url\":null},\"output_types\":[\"str\"],\"documentation\":\"\",\"beta\":true,\"error\":null},\"id\":\"CustomComponent-iTLf4\"},\"selected\":false,\"positionAbsolute\":{\"x\":-1924.8908014123388,\"y\":704.5414990162741},\"dragging\":false},{\"width\":384,\"height\":328,\"id\":\"CustomComponent-jWLUz\",\"type\":\"genericNode\",\"position\":{\"x\":627.6164007410564,\"y\":1201.2365384322047},\"data\":{\"type\":\"CustomComponent\",\"node\":{\"template\":{\"code\":{\"dynamic\":true,\"required\":true,\"placeholder\":\"\",\"show\":true,\"multiline\":true,\"value\":\"from langflow import CustomComponent\\n\\nclass ListToMarkdownBullets(CustomComponent):\\n display_name: str = \\\"List to Bullets\\\"\\n description: str = \\\"Converts a Python list into Markdown bullet points.\\\"\\n\\n def build(self, items: list) -> str:\\n markdown_bullets = '\\\\n'.join(f'* {item}' for item in items)\\n return markdown_bullets\\n\",\"password\":false,\"name\":\"code\",\"advanced\":false,\"type\":\"code\",\"list\":false,\"display_name\":\"code\"},\"_type\":\"CustomComponent\",\"items\":{\"required\":true,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"password\":false,\"name\":\"items\",\"display_name\":\"items\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"list\",\"list\":true}},\"description\":\"Converts a Python list into Markdown bullet points.\",\"base_classes\":[\"str\"],\"display_name\":\"List to Bullets\",\"custom_fields\":{\"items\":null},\"output_types\":[\"str\"],\"documentation\":\"\",\"beta\":true,\"error\":null},\"id\":\"CustomComponent-jWLUz\"},\"selected\":false,\"positionAbsolute\":{\"x\":627.6164007410564,\"y\":1201.2365384322047},\"dragging\":false}],\"edges\":[{\"source\":\"ChatOpenAI-LA6y0\",\"target\":\"LLMChain-cHel8\",\"sourceHandle\":\"{œbaseClassesœ:[œBaseLanguageModelœ,œChatOpenAIœ,œBaseChatModelœ,œBaseLLMœ],œdataTypeœ:œChatOpenAIœ,œidœ:œChatOpenAI-LA6y0œ}\",\"targetHandle\":\"{œfieldNameœ:œllmœ,œidœ:œLLMChain-cHel8œ,œinputTypesœ:null,œtypeœ:œBaseLanguageModelœ}\",\"id\":\"reactflow__edge-ChatOpenAI-LA6y0{œbaseClassesœ:[œBaseLanguageModelœ,œChatOpenAIœ,œBaseChatModelœ,œBaseLLMœ],œdataTypeœ:œChatOpenAIœ,œidœ:œChatOpenAI-LA6y0œ}-LLMChain-cHel8{œfieldNameœ:œllmœ,œidœ:œLLMChain-cHel8œ,œinputTypesœ:null,œtypeœ:œBaseLanguageModelœ}\",\"data\":{\"targetHandle\":{\"fieldName\":\"llm\",\"id\":\"LLMChain-cHel8\",\"inputTypes\":null,\"type\":\"BaseLanguageModel\"},\"sourceHandle\":{\"baseClasses\":[\"BaseLanguageModel\",\"ChatOpenAI\",\"BaseChatModel\",\"BaseLLM\"],\"dataType\":\"ChatOpenAI\",\"id\":\"ChatOpenAI-LA6y0\"}},\"style\":{\"stroke\":\"#555\"},\"className\":\"stroke-gray-900 stroke-connection\",\"animated\":false,\"selected\":false},{\"source\":\"CustomComponent-zNSTv\",\"sourceHandle\":\"{œbaseClassesœ:[œDataœ],œdataTypeœ:œCustomComponentœ,œidœ:œCustomComponent-zNSTvœ}\",\"target\":\"CustomComponent-ZNoRM\",\"targetHandle\":\"{œfieldNameœ:œhtml_contentœ,œidœ:œCustomComponent-ZNoRMœ,œinputTypesœ:null,œtypeœ:œDataœ}\",\"data\":{\"targetHandle\":{\"fieldName\":\"html_content\",\"id\":\"CustomComponent-ZNoRM\",\"inputTypes\":null,\"type\":\"Data\"},\"sourceHandle\":{\"baseClasses\":[\"Data\"],\"dataType\":\"CustomComponent\",\"id\":\"CustomComponent-zNSTv\"}},\"style\":{\"stroke\":\"#555\"},\"className\":\"stroke-gray-900 stroke-connection\",\"animated\":false,\"id\":\"reactflow__edge-CustomComponent-zNSTv{œbaseClassesœ:[œDataœ],œdataTypeœ:œCustomComponentœ,œidœ:œCustomComponent-zNSTvœ}-CustomComponent-ZNoRM{œfieldNameœ:œhtml_contentœ,œidœ:œCustomComponent-ZNoRMœ,œinputTypesœ:null,œtypeœ:œDataœ}\",\"selected\":false},{\"source\":\"CustomComponent-zNSTv\",\"sourceHandle\":\"{œbaseClassesœ:[œDataœ],œdataTypeœ:œCustomComponentœ,œidœ:œCustomComponent-zNSTvœ}\",\"target\":\"CustomComponent-Ihm2o\",\"targetHandle\":\"{œfieldNameœ:œhtml_contentœ,œidœ:œCustomComponent-Ihm2oœ,œinputTypesœ:null,œtypeœ:œDataœ}\",\"data\":{\"targetHandle\":{\"fieldName\":\"html_content\",\"id\":\"CustomComponent-Ihm2o\",\"inputTypes\":null,\"type\":\"Data\"},\"sourceHandle\":{\"baseClasses\":[\"Data\"],\"dataType\":\"CustomComponent\",\"id\":\"CustomComponent-zNSTv\"}},\"style\":{\"stroke\":\"#555\"},\"className\":\"stroke-gray-900 stroke-connection\",\"animated\":false,\"id\":\"reactflow__edge-CustomComponent-zNSTv{œbaseClassesœ:[œDataœ],œdataTypeœ:œCustomComponentœ,œidœ:œCustomComponent-zNSTvœ}-CustomComponent-Ihm2o{œfieldNameœ:œhtml_contentœ,œidœ:œCustomComponent-Ihm2oœ,œinputTypesœ:null,œtypeœ:œDataœ}\",\"selected\":false},{\"source\":\"CustomComponent-Ihm2o\",\"sourceHandle\":\"{œbaseClassesœ:[œDataœ],œdataTypeœ:œCustomComponentœ,œidœ:œCustomComponent-Ihm2oœ}\",\"target\":\"CustomComponent-6ST9l\",\"targetHandle\":\"{œfieldNameœ:œsoupœ,œidœ:œCustomComponent-6ST9lœ,œinputTypesœ:null,œtypeœ:œDataœ}\",\"data\":{\"targetHandle\":{\"fieldName\":\"soup\",\"id\":\"CustomComponent-6ST9l\",\"inputTypes\":null,\"type\":\"Data\"},\"sourceHandle\":{\"baseClasses\":[\"Data\"],\"dataType\":\"CustomComponent\",\"id\":\"CustomComponent-Ihm2o\"}},\"style\":{\"stroke\":\"#555\"},\"className\":\"stroke-gray-900 stroke-connection\",\"animated\":false,\"id\":\"reactflow__edge-CustomComponent-Ihm2o{œbaseClassesœ:[œDataœ],œdataTypeœ:œCustomComponentœ,œidœ:œCustomComponent-Ihm2oœ}-CustomComponent-6ST9l{œfieldNameœ:œsoupœ,œidœ:œCustomComponent-6ST9lœ,œinputTypesœ:null,œtypeœ:œDataœ}\",\"selected\":false},{\"source\":\"CustomComponent-iTLf4\",\"sourceHandle\":\"{œbaseClassesœ:[œstrœ],œdataTypeœ:œCustomComponentœ,œidœ:œCustomComponent-iTLf4œ}\",\"target\":\"CustomComponent-zNSTv\",\"targetHandle\":\"{œfieldNameœ:œurlœ,œidœ:œCustomComponent-zNSTvœ,œinputTypesœ:[œDataœ,œstrœ],œtypeœ:œstrœ}\",\"data\":{\"targetHandle\":{\"fieldName\":\"url\",\"id\":\"CustomComponent-zNSTv\",\"inputTypes\":[\"Data\",\"str\"],\"type\":\"str\"},\"sourceHandle\":{\"baseClasses\":[\"str\"],\"dataType\":\"CustomComponent\",\"id\":\"CustomComponent-iTLf4\"}},\"style\":{\"stroke\":\"#555\"},\"className\":\"stroke-gray-900 stroke-connection\",\"animated\":false,\"id\":\"reactflow__edge-CustomComponent-iTLf4{œbaseClassesœ:[œstrœ],œdataTypeœ:œCustomComponentœ,œidœ:œCustomComponent-iTLf4œ}-CustomComponent-zNSTv{œfieldNameœ:œurlœ,œidœ:œCustomComponent-zNSTvœ,œinputTypesœ:[œDataœ,œstrœ],œtypeœ:œstrœ}\",\"selected\":false},{\"source\":\"CustomComponent-iTLf4\",\"sourceHandle\":\"{œbaseClassesœ:[œstrœ],œdataTypeœ:œCustomComponentœ,œidœ:œCustomComponent-iTLf4œ}\",\"target\":\"PromptTemplate-l35W1\",\"targetHandle\":\"{œfieldNameœ:œurlœ,œidœ:œPromptTemplate-l35W1œ,œinputTypesœ:[œDocumentœ,œBaseOutputParserœ],œtypeœ:œstrœ}\",\"data\":{\"targetHandle\":{\"fieldName\":\"url\",\"id\":\"PromptTemplate-l35W1\",\"inputTypes\":[\"Document\",\"BaseOutputParser\"],\"type\":\"str\"},\"sourceHandle\":{\"baseClasses\":[\"str\"],\"dataType\":\"CustomComponent\",\"id\":\"CustomComponent-iTLf4\"}},\"style\":{\"stroke\":\"#555\"},\"className\":\"stroke-gray-900 stroke-connection\",\"animated\":false,\"id\":\"reactflow__edge-CustomComponent-iTLf4{œbaseClassesœ:[œstrœ],œdataTypeœ:œCustomComponentœ,œidœ:œCustomComponent-iTLf4œ}-PromptTemplate-l35W1{œfieldNameœ:œurlœ,œidœ:œPromptTemplate-l35W1œ,œinputTypesœ:[œDocumentœ,œBaseOutputParserœ],œtypeœ:œstrœ}\",\"selected\":false},{\"source\":\"CustomComponent-6ST9l\",\"sourceHandle\":\"{œbaseClassesœ:[œlistœ],œdataTypeœ:œCustomComponentœ,œidœ:œCustomComponent-6ST9lœ}\",\"target\":\"CustomComponent-jWLUz\",\"targetHandle\":\"{œfieldNameœ:œitemsœ,œidœ:œCustomComponent-jWLUzœ,œinputTypesœ:null,œtypeœ:œlistœ}\",\"data\":{\"targetHandle\":{\"fieldName\":\"items\",\"id\":\"CustomComponent-jWLUz\",\"inputTypes\":null,\"type\":\"list\"},\"sourceHandle\":{\"baseClasses\":[\"list\"],\"dataType\":\"CustomComponent\",\"id\":\"CustomComponent-6ST9l\"}},\"style\":{\"stroke\":\"#555\"},\"className\":\"stroke-gray-900 stroke-connection\",\"animated\":false,\"id\":\"reactflow__edge-CustomComponent-6ST9l{œbaseClassesœ:[œlistœ],œdataTypeœ:œCustomComponentœ,œidœ:œCustomComponent-6ST9lœ}-CustomComponent-jWLUz{œfieldNameœ:œitemsœ,œidœ:œCustomComponent-jWLUzœ,œinputTypesœ:null,œtypeœ:œlistœ}\",\"selected\":false},{\"source\":\"CustomComponent-jWLUz\",\"sourceHandle\":\"{œbaseClassesœ:[œstrœ],œdataTypeœ:œCustomComponentœ,œidœ:œCustomComponent-jWLUzœ}\",\"target\":\"PromptTemplate-l35W1\",\"targetHandle\":\"{œfieldNameœ:œhtml_linksœ,œidœ:œPromptTemplate-l35W1œ,œinputTypesœ:[œDocumentœ,œBaseOutputParserœ],œtypeœ:œstrœ}\",\"data\":{\"targetHandle\":{\"fieldName\":\"html_links\",\"id\":\"PromptTemplate-l35W1\",\"inputTypes\":[\"Document\",\"BaseOutputParser\"],\"type\":\"str\"},\"sourceHandle\":{\"baseClasses\":[\"str\"],\"dataType\":\"CustomComponent\",\"id\":\"CustomComponent-jWLUz\"}},\"style\":{\"stroke\":\"#555\"},\"className\":\"stroke-gray-900 stroke-connection\",\"animated\":false,\"id\":\"reactflow__edge-CustomComponent-jWLUz{œbaseClassesœ:[œstrœ],œdataTypeœ:œCustomComponentœ,œidœ:œCustomComponent-jWLUzœ}-PromptTemplate-l35W1{œfieldNameœ:œhtml_linksœ,œidœ:œPromptTemplate-l35W1œ,œinputTypesœ:[œDocumentœ,œBaseOutputParserœ],œtypeœ:œstrœ}\",\"selected\":false},{\"source\":\"CustomComponent-ZNoRM\",\"sourceHandle\":\"{œbaseClassesœ:[œstrœ],œdataTypeœ:œCustomComponentœ,œidœ:œCustomComponent-ZNoRMœ}\",\"target\":\"PromptTemplate-l35W1\",\"targetHandle\":\"{œfieldNameœ:œhtml_markdownœ,œidœ:œPromptTemplate-l35W1œ,œinputTypesœ:[œDocumentœ,œBaseOutputParserœ],œtypeœ:œstrœ}\",\"data\":{\"targetHandle\":{\"fieldName\":\"html_markdown\",\"id\":\"PromptTemplate-l35W1\",\"inputTypes\":[\"Document\",\"BaseOutputParser\"],\"type\":\"str\"},\"sourceHandle\":{\"baseClasses\":[\"str\"],\"dataType\":\"CustomComponent\",\"id\":\"CustomComponent-ZNoRM\"}},\"style\":{\"stroke\":\"#555\"},\"className\":\"stroke-gray-900 stroke-connection\",\"animated\":false,\"id\":\"reactflow__edge-CustomComponent-ZNoRM{œbaseClassesœ:[œstrœ],œdataTypeœ:œCustomComponentœ,œidœ:œCustomComponent-ZNoRMœ}-PromptTemplate-l35W1{œfieldNameœ:œhtml_markdownœ,œidœ:œPromptTemplate-l35W1œ,œinputTypesœ:[œDocumentœ,œBaseOutputParserœ],œtypeœ:œstrœ}\",\"selected\":false},{\"source\":\"PromptTemplate-l35W1\",\"sourceHandle\":\"{œbaseClassesœ:[œStringPromptTemplateœ,œBasePromptTemplateœ,œPromptTemplateœ],œdataTypeœ:œPromptTemplateœ,œidœ:œPromptTemplate-l35W1œ}\",\"target\":\"LLMChain-cHel8\",\"targetHandle\":\"{œfieldNameœ:œpromptœ,œidœ:œLLMChain-cHel8œ,œinputTypesœ:null,œtypeœ:œBasePromptTemplateœ}\",\"data\":{\"targetHandle\":{\"fieldName\":\"prompt\",\"id\":\"LLMChain-cHel8\",\"inputTypes\":null,\"type\":\"BasePromptTemplate\"},\"sourceHandle\":{\"baseClasses\":[\"StringPromptTemplate\",\"BasePromptTemplate\",\"PromptTemplate\"],\"dataType\":\"PromptTemplate\",\"id\":\"PromptTemplate-l35W1\"}},\"style\":{\"stroke\":\"#555\"},\"className\":\"stroke-gray-900 stroke-connection\",\"animated\":false,\"id\":\"reactflow__edge-PromptTemplate-mJqEg{œbaseClassesœ:[œStringPromptTemplateœ,œBasePromptTemplateœ,œPromptTemplateœ],œdataTypeœ:œPromptTemplateœ,œidœ:œPromptTemplate-mJqEgœ}-LLMChain-cHel8{œfieldNameœ:œpromptœ,œidœ:œLLMChain-cHel8œ,œinputTypesœ:null,œtypeœ:œBasePromptTemplateœ}\"}],\"viewport\":{\"x\":206.6159172940935,\"y\":79.94375811155385,\"zoom\":0.5140569133280333}},\"is_component\":false,\"updated_at\":\"2023-12-06T00:23:04.515144\",\"folder\":null,\"id\":\"ecfb377a-7e88-405d-8d66-7560735ce446\",\"user_id\":\"d253bfba-6368-44dc-85f7-0d6da9e45968\"},{\"name\":\"Lonely Lovelace\",\"description\":\"Smart Chains, Smarter Conversations.\",\"data\":{\"nodes\":[],\"edges\":[],\"viewport\":{\"zoom\":1,\"x\":0,\"y\":0}},\"is_component\":false,\"updated_at\":\"2023-12-04T23:43:25.925753\",\"folder\":null,\"id\":\"30e71767-6128-40e4-9a6d-b9197b679971\",\"user_id\":\"d253bfba-6368-44dc-85f7-0d6da9e45968\"},{\"name\":\"Custom Component\",\"description\":\"Create any custom component you want!\",\"data\":{\"edges\":[],\"nodes\":[{\"data\":{\"type\":\"CustomComponent\",\"node\":{\"template\":{\"code\":{\"dynamic\":true,\"required\":true,\"placeholder\":\"\",\"show\":true,\"multiline\":true,\"value\":\"from langflow import CustomComponent\\nfrom langflow.field_typing import Data\\n\\n\\nclass Component(CustomComponent):\\n display_name: str = \\\"Custom Component\\\"\\n description: str = \\\"Create any custom component you want!\\\"\\n documentation: str = \\\"http://docs.langflow.org/components/custom\\\"\\n\\n def build_config(self):\\n return {\\\"param\\\": {\\\"display_name\\\": \\\"Parameter\\\"}}\\n\\n def build(self, param: Data) -> Data:\\n return param\\n\",\"password\":false,\"name\":\"code\",\"advanced\":false,\"type\":\"code\",\"list\":false},\"_type\":\"CustomComponent\",\"param\":{\"required\":true,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"password\":false,\"name\":\"param\",\"display_name\":\"Parameter\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"Data\",\"list\":false}},\"description\":\"Create any custom component you want!\",\"base_classes\":[\"Data\"],\"display_name\":\"Custom Component\",\"custom_fields\":{\"param\":null},\"output_types\":[\"CustomComponent\"],\"documentation\":\"http://docs.langflow.org/components/custom\",\"beta\":true,\"error\":null,\"official\":false},\"id\":\"CustomComponent-IxJqc\"},\"id\":\"CustomComponent-IxJqc\",\"position\":{\"x\":0,\"y\":0},\"type\":\"genericNode\"}],\"viewport\":{\"x\":1,\"y\":1,\"zoom\":1}},\"is_component\":true,\"updated_at\":\"2023-12-05T22:08:27.080204\",\"folder\":null,\"id\":\"f3c56abb-96d8-4a09-80d3-f60181661b3c\",\"user_id\":\"d253bfba-6368-44dc-85f7-0d6da9e45968\"},{\"name\":\"Amazing Wilson\",\"description\":\"Unfolding Linguistic Possibilities.\",\"data\":{\"nodes\":[],\"edges\":[],\"viewport\":{\"zoom\":1,\"x\":0,\"y\":0}},\"is_component\":false,\"updated_at\":\"2023-12-05T23:49:58.272677\",\"folder\":null,\"id\":\"324499a6-17a6-49de-96b1-b88955ed2c3d\",\"user_id\":\"d253bfba-6368-44dc-85f7-0d6da9e45968\"},{\"name\":\"Nauseous Kowalevski\",\"description\":\"Create, Curate, Communicate with Langflow.\",\"data\":{\"nodes\":[],\"edges\":[],\"viewport\":{\"zoom\":1,\"x\":0,\"y\":0}},\"is_component\":false,\"updated_at\":\"2023-12-06T22:45:27.084387\",\"folder\":null,\"id\":\"e3168485-d31b-472a-907f-faf833bf7824\",\"user_id\":\"d253bfba-6368-44dc-85f7-0d6da9e45968\"},{\"name\":\"Silly Fermi\",\"description\":\"Craft Meaningful Interactions, Generate Value.\",\"data\":{\"nodes\":[],\"edges\":[],\"viewport\":{\"zoom\":1,\"x\":0,\"y\":0}},\"is_component\":false,\"updated_at\":\"2023-12-06T22:45:57.134463\",\"folder\":null,\"id\":\"d0ecea5d-bcf9-4b8e-88f0-3c243d309336\",\"user_id\":\"d253bfba-6368-44dc-85f7-0d6da9e45968\"},{\"name\":\"Friendly Ardinghelli\",\"description\":\"Smart Chains, Smarter Conversations.\",\"data\":{\"nodes\":[],\"edges\":[],\"viewport\":{\"zoom\":1,\"x\":0,\"y\":0}},\"is_component\":false,\"updated_at\":\"2023-12-06T22:45:57.138184\",\"folder\":null,\"id\":\"a406912d-b0e2-4954-bef3-ee80c29eca3c\",\"user_id\":\"d253bfba-6368-44dc-85f7-0d6da9e45968\"},{\"name\":\"Gleeful Easley\",\"description\":\"Bridging Prompts for Brilliance.\",\"data\":{\"nodes\":[],\"edges\":[],\"viewport\":{\"zoom\":1,\"x\":0,\"y\":0}},\"is_component\":false,\"updated_at\":\"2023-12-06T22:45:57.162908\",\"folder\":null,\"id\":\"57b32155-4c6e-4823-ad03-8dd09d8abc62\",\"user_id\":\"d253bfba-6368-44dc-85f7-0d6da9e45968\"},{\"name\":\"Effervescent Varahamihira\",\"description\":\"Create, Chain, Communicate.\",\"data\":{\"nodes\":[],\"edges\":[],\"viewport\":{\"zoom\":1,\"x\":0,\"y\":0}},\"is_component\":false,\"updated_at\":\"2023-12-06T22:45:57.135644\",\"folder\":null,\"id\":\"18daa0ff-2e5d-457a-95d7-710affec5c4d\",\"user_id\":\"d253bfba-6368-44dc-85f7-0d6da9e45968\"},{\"name\":\"Jubilant Joliot\",\"description\":\"Language Architect at Work!\",\"data\":{\"nodes\":[],\"edges\":[],\"viewport\":{\"zoom\":1,\"x\":0,\"y\":0}},\"is_component\":false,\"updated_at\":\"2023-12-06T22:45:57.139496\",\"folder\":null,\"id\":\"9255e938-280e-4ce7-91cd-8622126a7d02\",\"user_id\":\"d253bfba-6368-44dc-85f7-0d6da9e45968\"},{\"name\":\"Adoring Carroll\",\"description\":\"Nurture NLP Nodes Here.\",\"data\":{\"nodes\":[],\"edges\":[],\"viewport\":{\"zoom\":1,\"x\":0,\"y\":0}},\"is_component\":false,\"updated_at\":\"2023-12-06T22:45:57.162240\",\"folder\":null,\"id\":\"a7a680b9-30b1-4438-ac24-da597de443aa\",\"user_id\":\"d253bfba-6368-44dc-85f7-0d6da9e45968\"},{\"name\":\"Berserk Herschel\",\"description\":\"Your Hub for Text Generation.\",\"data\":{\"nodes\":[],\"edges\":[],\"viewport\":{\"zoom\":1,\"x\":0,\"y\":0}},\"is_component\":false,\"updated_at\":\"2023-12-06T22:46:02.593504\",\"folder\":null,\"id\":\"37a439b0-7b1d-45e3-b4fa-5c73669bae3b\",\"user_id\":\"d253bfba-6368-44dc-85f7-0d6da9e45968\"},{\"name\":\"Distracted Joliot\",\"description\":\"Conversational Cartography Unlocked.\",\"data\":{\"nodes\":[],\"edges\":[],\"viewport\":{\"zoom\":1,\"x\":0,\"y\":0}},\"is_component\":false,\"updated_at\":\"2023-12-06T22:47:04.845238\",\"folder\":null,\"id\":\"4d23fd0a-8ad5-46b9-bb99-eed4138e7426\",\"user_id\":\"d253bfba-6368-44dc-85f7-0d6da9e45968\"},{\"name\":\"Happy Babbage\",\"description\":\"Flow into the Future of Language.\",\"data\":{\"nodes\":[],\"edges\":[],\"viewport\":{\"zoom\":1,\"x\":0,\"y\":0}},\"is_component\":false,\"updated_at\":\"2023-12-06T22:47:41.899665\",\"folder\":null,\"id\":\"1c8ad5b9-5524-41fe-a762-52c75126b832\",\"user_id\":\"d253bfba-6368-44dc-85f7-0d6da9e45968\"},{\"name\":\"Adoring Brown\",\"description\":\"Unlock the Power of AI in Your Business Conversations.\",\"data\":{\"nodes\":[],\"edges\":[],\"viewport\":{\"zoom\":1,\"x\":0,\"y\":0}},\"is_component\":false,\"updated_at\":\"2023-12-06T22:47:42.702031\",\"folder\":null,\"id\":\"9d4c8e79-4904-4a51-a4bb-146c3d8db10e\",\"user_id\":\"d253bfba-6368-44dc-85f7-0d6da9e45968\"},{\"name\":\"Focused Mahavira\",\"description\":\"Design, Develop, Dialogize.\",\"data\":{\"nodes\":[],\"edges\":[],\"viewport\":{\"zoom\":1,\"x\":0,\"y\":0}},\"is_component\":false,\"updated_at\":\"2023-12-06T22:47:42.786331\",\"folder\":null,\"id\":\"4ba370d1-1f8e-4a23-99aa-99e2cd9b7cbf\",\"user_id\":\"d253bfba-6368-44dc-85f7-0d6da9e45968\"},{\"name\":\"Mad Gates\",\"description\":\"Where Language Meets Logic.\",\"data\":{\"nodes\":[],\"edges\":[],\"viewport\":{\"zoom\":1,\"x\":0,\"y\":0}},\"is_component\":false,\"updated_at\":\"2023-12-06T22:47:42.838989\",\"folder\":null,\"id\":\"992c3cd3-1d79-4986-8c04-88a34130fa30\",\"user_id\":\"d253bfba-6368-44dc-85f7-0d6da9e45968\"},{\"name\":\"Serene Mcclintock\",\"description\":\"Unlock the Power of AI in Your Business Conversations.\",\"data\":{\"nodes\":[],\"edges\":[],\"viewport\":{\"zoom\":1,\"x\":0,\"y\":0}},\"is_component\":false,\"updated_at\":\"2023-12-06T22:47:42.932723\",\"folder\":null,\"id\":\"a65bfd13-44df-4090-aca0-5057e21e9997\",\"user_id\":\"d253bfba-6368-44dc-85f7-0d6da9e45968\"},{\"name\":\"Berserk Feynman\",\"description\":\"Text Generation Meets Business Transformation.\",\"data\":{\"nodes\":[],\"edges\":[],\"viewport\":{\"zoom\":1,\"x\":0,\"y\":0}},\"is_component\":false,\"updated_at\":\"2023-12-06T22:47:42.931359\",\"folder\":null,\"id\":\"7a05dac5-c005-411d-9994-19d61e71ce78\",\"user_id\":\"d253bfba-6368-44dc-85f7-0d6da9e45968\"},{\"name\":\"Sprightly Perlman\",\"description\":\"Interactive Language Weaving.\",\"data\":{\"nodes\":[],\"edges\":[],\"viewport\":{\"zoom\":1,\"x\":0,\"y\":0}},\"is_component\":false,\"updated_at\":\"2023-12-06T22:47:43.054687\",\"folder\":null,\"id\":\"6db24541-7211-48e6-a792-1a4a99a0ef90\",\"user_id\":\"d253bfba-6368-44dc-85f7-0d6da9e45968\"},{\"name\":\"Jolly Colden\",\"description\":\"Flow into the Future of Language.\",\"data\":{\"nodes\":[],\"edges\":[],\"viewport\":{\"zoom\":1,\"x\":0,\"y\":0}},\"is_component\":false,\"updated_at\":\"2023-12-06T22:47:43.078384\",\"folder\":null,\"id\":\"13ac42e8-9124-4bf4-9ea2-28671ef2d9a4\",\"user_id\":\"d253bfba-6368-44dc-85f7-0d6da9e45968\"},{\"name\":\"Gleeful Kaku\",\"description\":\"The Power of Language at Your Fingertips.\",\"data\":{\"nodes\":[],\"edges\":[],\"viewport\":{\"zoom\":1,\"x\":0,\"y\":0}},\"is_component\":false,\"updated_at\":\"2023-12-06T22:50:33.156776\",\"folder\":null,\"id\":\"79262d75-5c62-4b14-b067-f4297f5c912f\",\"user_id\":\"d253bfba-6368-44dc-85f7-0d6da9e45968\"},{\"name\":\"Jovial Khayyam\",\"description\":\"Empowering Communication, Enabling Opportunities.\",\"data\":{\"nodes\":[],\"edges\":[],\"viewport\":{\"zoom\":1,\"x\":0,\"y\":0}},\"is_component\":false,\"updated_at\":\"2023-12-06T22:51:13.295375\",\"folder\":null,\"id\":\"3b397e74-d8be-4728-9d6c-05f7c78106a7\",\"user_id\":\"d253bfba-6368-44dc-85f7-0d6da9e45968\"},{\"name\":\"Goofy Mccarthy\",\"description\":\"Building Powerful Solutions with Language Models.\",\"data\":{\"nodes\":[],\"edges\":[],\"viewport\":{\"zoom\":1,\"x\":0,\"y\":0}},\"is_component\":false,\"updated_at\":\"2023-12-06T22:51:27.632685\",\"folder\":null,\"id\":\"13f4e1fd-45eb-4271-92fd-0d70a31c61d2\",\"user_id\":\"d253bfba-6368-44dc-85f7-0d6da9e45968\"},{\"name\":\"Cocky Lalande\",\"description\":\"Building Intelligent Interactions.\",\"data\":{\"nodes\":[],\"edges\":[],\"viewport\":{\"zoom\":1,\"x\":0,\"y\":0}},\"is_component\":false,\"updated_at\":\"2023-12-06T22:51:54.628983\",\"folder\":null,\"id\":\"9cfd60d8-9311-47b0-b71b-f488f1940bc7\",\"user_id\":\"d253bfba-6368-44dc-85f7-0d6da9e45968\"},{\"name\":\"Romantic Mirzakhani\",\"description\":\"Innovation in Interaction with Langflow.\",\"data\":{\"nodes\":[],\"edges\":[],\"viewport\":{\"zoom\":1,\"x\":0,\"y\":0}},\"is_component\":false,\"updated_at\":\"2023-12-06T22:52:52.622698\",\"folder\":null,\"id\":\"0d849403-0f75-455d-b4e4-0d622ee3305a\",\"user_id\":\"d253bfba-6368-44dc-85f7-0d6da9e45968\"},{\"name\":\"Grinning Brown\",\"description\":\"Building Powerful Solutions with Language Models.\",\"data\":{\"nodes\":[],\"edges\":[],\"viewport\":{\"zoom\":1,\"x\":0,\"y\":0}},\"is_component\":false,\"updated_at\":\"2023-12-06T22:53:06.056636\",\"folder\":null,\"id\":\"8643ba14-52d6-4d36-9981-5fd37de5dd76\",\"user_id\":\"d253bfba-6368-44dc-85f7-0d6da9e45968\"},{\"name\":\"Kickass Watt\",\"description\":\"Transform Your Business with Smart Dialogues.\",\"data\":{\"nodes\":[],\"edges\":[],\"viewport\":{\"zoom\":1,\"x\":0,\"y\":0}},\"is_component\":false,\"updated_at\":\"2023-12-06T22:53:23.338727\",\"folder\":null,\"id\":\"818d3066-bf08-4bf9-adcd-739f8abbfa5d\",\"user_id\":\"d253bfba-6368-44dc-85f7-0d6da9e45968\"},{\"name\":\"Goofy Bose\",\"description\":\"Unravel the Art of Articulation.\",\"data\":{\"nodes\":[],\"edges\":[],\"viewport\":{\"zoom\":1,\"x\":0,\"y\":0}},\"is_component\":false,\"updated_at\":\"2023-12-06T22:53:41.218861\",\"folder\":null,\"id\":\"28eff43e-0ecf-47bf-9851-f1492589978e\",\"user_id\":\"d253bfba-6368-44dc-85f7-0d6da9e45968\"},{\"name\":\"Optimistic Jennings\",\"description\":\"Create Powerful Connections, Boost Business Value.\",\"data\":{\"nodes\":[],\"edges\":[],\"viewport\":{\"zoom\":1,\"x\":0,\"y\":0}},\"is_component\":false,\"updated_at\":\"2023-12-06T22:55:03.681106\",\"folder\":null,\"id\":\"68f59069-bc2a-464f-a983-4b61e32e01af\",\"user_id\":\"d253bfba-6368-44dc-85f7-0d6da9e45968\"},{\"name\":\"Pedantic Mirzakhani\",\"description\":\"Language Chainlink Master.\",\"data\":{\"nodes\":[],\"edges\":[],\"viewport\":{\"zoom\":1,\"x\":0,\"y\":0}},\"is_component\":false,\"updated_at\":\"2023-12-06T22:55:31.761949\",\"folder\":null,\"id\":\"5d981c0e-81b3-44cc-a5be-8f55b92bfed5\",\"user_id\":\"d253bfba-6368-44dc-85f7-0d6da9e45968\"},{\"name\":\"Peppy Murdock\",\"description\":\"Create Powerful Connections, Boost Business Value.\",\"data\":{\"nodes\":[],\"edges\":[],\"viewport\":{\"zoom\":1,\"x\":0,\"y\":0}},\"is_component\":false,\"updated_at\":\"2023-12-06T22:56:45.548598\",\"folder\":null,\"id\":\"e812ad47-47e8-422b-b94c-84fd0263c9c8\",\"user_id\":\"d253bfba-6368-44dc-85f7-0d6da9e45968\"},{\"name\":\"Berserk Fermat\",\"description\":\"Maximize Impact with Intelligent Conversations.\",\"data\":{\"nodes\":[],\"edges\":[],\"viewport\":{\"zoom\":1,\"x\":0,\"y\":0}},\"is_component\":false,\"updated_at\":\"2023-12-06T22:58:50.234270\",\"folder\":null,\"id\":\"82aaf449-e737-4699-9360-929ab6108dc7\",\"user_id\":\"d253bfba-6368-44dc-85f7-0d6da9e45968\"},{\"name\":\"Tiny Albattani\",\"description\":\"Your Toolkit for Text Generation.\",\"data\":{\"nodes\":[],\"edges\":[],\"viewport\":{\"zoom\":1,\"x\":0,\"y\":0}},\"is_component\":false,\"updated_at\":\"2023-12-06T22:59:53.946035\",\"folder\":null,\"id\":\"097cb080-274b-40ca-8dde-7900a949568a\",\"user_id\":\"d253bfba-6368-44dc-85f7-0d6da9e45968\"},{\"name\":\"Cranky Kirch\",\"description\":\"Sculpting Language with Precision.\",\"data\":{\"nodes\":[],\"edges\":[],\"viewport\":{\"zoom\":1,\"x\":0,\"y\":0}},\"is_component\":false,\"updated_at\":\"2023-12-06T23:00:51.745350\",\"folder\":null,\"id\":\"837d7b5f-8495-46a9-b00e-ad1b7ebb52f4\",\"user_id\":\"d253bfba-6368-44dc-85f7-0d6da9e45968\"},{\"name\":\"Effervescent Kowalevski\",\"description\":\"Empowering Language Engineering.\",\"data\":{\"nodes\":[],\"edges\":[],\"viewport\":{\"zoom\":1,\"x\":0,\"y\":0}},\"is_component\":false,\"updated_at\":\"2023-12-06T23:02:53.336102\",\"folder\":null,\"id\":\"3ff079c2-d9f9-4da6-a22a-423fa35670ff\",\"user_id\":\"d253bfba-6368-44dc-85f7-0d6da9e45968\"},{\"name\":\"Radiant Stallman\",\"description\":\"Navigate the Linguistic Landscape, Discover Opportunities.\",\"data\":{\"nodes\":[],\"edges\":[],\"viewport\":{\"zoom\":1,\"x\":0,\"y\":0}},\"is_component\":false,\"updated_at\":\"2023-12-06T23:03:28.268357\",\"folder\":null,\"id\":\"c8b204dd-3d57-4bc8-aa13-1d559672e75b\",\"user_id\":\"d253bfba-6368-44dc-85f7-0d6da9e45968\"},{\"name\":\"Grinning Swirles\",\"description\":\"Unleashing Linguistic Creativity.\",\"data\":{\"nodes\":[],\"edges\":[],\"viewport\":{\"zoom\":1,\"x\":0,\"y\":0}},\"is_component\":false,\"updated_at\":\"2023-12-06T23:03:51.194455\",\"folder\":null,\"id\":\"a097f083-5880-4cf7-986b-51898bc68e11\",\"user_id\":\"d253bfba-6368-44dc-85f7-0d6da9e45968\"},{\"name\":\"Dreamy Williams\",\"description\":\"Interactive Language Weaving.\",\"data\":{\"nodes\":[],\"edges\":[],\"viewport\":{\"zoom\":1,\"x\":0,\"y\":0}},\"is_component\":false,\"updated_at\":\"2023-12-06T23:04:36.678251\",\"folder\":null,\"id\":\"d9585f63-ce76-42ce-87bc-8e69601ea5c6\",\"user_id\":\"d253bfba-6368-44dc-85f7-0d6da9e45968\"},{\"name\":\"Zany Hawking\",\"description\":\"Flow into the Future of Language.\",\"data\":{\"nodes\":[],\"edges\":[],\"viewport\":{\"zoom\":1,\"x\":0,\"y\":0}},\"is_component\":false,\"updated_at\":\"2023-12-06T23:05:13.672479\",\"folder\":null,\"id\":\"612a01d5-8c8d-4cc1-8c54-35626b7f4a6d\",\"user_id\":\"d253bfba-6368-44dc-85f7-0d6da9e45968\"},{\"name\":\"Amazing Kilby\",\"description\":\"Your Toolkit for Text Generation.\",\"data\":{\"nodes\":[],\"edges\":[],\"viewport\":{\"zoom\":1,\"x\":0,\"y\":0}},\"is_component\":false,\"updated_at\":\"2023-12-06T23:10:37.047955\",\"folder\":null,\"id\":\"2d05a598-3cdf-452a-bd5d-b0e569e562e3\",\"user_id\":\"d253bfba-6368-44dc-85f7-0d6da9e45968\"},{\"name\":\"Insane Cori\",\"description\":\"Empowering Communication, Enabling Opportunities.\",\"data\":{\"nodes\":[],\"edges\":[],\"viewport\":{\"zoom\":1,\"x\":0,\"y\":0}},\"is_component\":false,\"updated_at\":\"2023-12-06T23:18:12.426578\",\"folder\":null,\"id\":\"d1769a4a-c1e9-4d74-9273-1e76cfcf21f3\",\"user_id\":\"d253bfba-6368-44dc-85f7-0d6da9e45968\"},{\"name\":\"Compassionate Tesla\",\"description\":\"Graph Your Way to Great Conversations.\",\"data\":{\"nodes\":[],\"edges\":[],\"viewport\":{\"zoom\":1,\"x\":0,\"y\":0}},\"is_component\":false,\"updated_at\":\"2023-12-06T23:18:52.806238\",\"folder\":null,\"id\":\"28c5d9dd-0466-4c80-9e58-b1e061cd358d\",\"user_id\":\"d253bfba-6368-44dc-85f7-0d6da9e45968\"},{\"name\":\"Jubilant Goldstine\",\"description\":\"Harness the Power of Conversational AI.\",\"data\":{\"nodes\":[],\"edges\":[],\"viewport\":{\"zoom\":1,\"x\":0,\"y\":0}},\"is_component\":false,\"updated_at\":\"2023-12-06T23:21:44.488510\",\"folder\":null,\"id\":\"b3c57e4f-28a1-4580-bf08-a9484bdd66e8\",\"user_id\":\"d253bfba-6368-44dc-85f7-0d6da9e45968\"},{\"name\":\"Elegant Curie\",\"description\":\"Building Intelligent Interactions.\",\"data\":{\"nodes\":[],\"edges\":[],\"viewport\":{\"zoom\":1,\"x\":0,\"y\":0}},\"is_component\":false,\"updated_at\":\"2023-12-07T00:23:47.610237\",\"folder\":null,\"id\":\"28fb024e-6ba1-4f5b-83b3-4742b3b8117c\",\"user_id\":\"d253bfba-6368-44dc-85f7-0d6da9e45968\"},{\"name\":\"Twinkly Chandrasekhar\",\"description\":\"Maximize Impact with Intelligent Conversations.\",\"data\":{\"nodes\":[],\"edges\":[],\"viewport\":{\"zoom\":1,\"x\":0,\"y\":0}},\"is_component\":false,\"updated_at\":\"2023-12-07T00:24:29.824530\",\"folder\":null,\"id\":\"d2b87cf7-9167-4030-8e9f-b8d9aa0cadee\",\"user_id\":\"d253bfba-6368-44dc-85f7-0d6da9e45968\"},{\"name\":\"Pensive Nobel\",\"description\":\"Crafting Dialogues that Drive Business Success.\",\"data\":{\"nodes\":[],\"edges\":[],\"viewport\":{\"zoom\":1,\"x\":0,\"y\":0}},\"is_component\":false,\"updated_at\":\"2023-12-07T00:26:51.210699\",\"folder\":null,\"id\":\"c2c9fbac-7d97-40c2-8055-dff608df9414\",\"user_id\":\"d253bfba-6368-44dc-85f7-0d6da9e45968\"},{\"name\":\"Elated Edison\",\"description\":\"Advanced NLP for Groundbreaking Business Solutions.\",\"data\":{\"nodes\":[],\"edges\":[],\"viewport\":{\"zoom\":1,\"x\":0,\"y\":0}},\"is_component\":false,\"updated_at\":\"2023-12-07T00:27:35.822482\",\"folder\":null,\"id\":\"a55561cd-4b25-473f-bde5-884cbabb0d24\",\"user_id\":\"d253bfba-6368-44dc-85f7-0d6da9e45968\"},{\"name\":\"Dazzling Lichterman\",\"description\":\"Building Linguistic Labyrinths.\",\"data\":{\"nodes\":[],\"edges\":[],\"viewport\":{\"zoom\":1,\"x\":0,\"y\":0}},\"is_component\":false,\"updated_at\":\"2023-12-07T00:29:09.259381\",\"folder\":null,\"id\":\"9c6fe6d4-8311-4fc6-8b02-2a816d7c059d\",\"user_id\":\"d253bfba-6368-44dc-85f7-0d6da9e45968\"},{\"name\":\"Distracted Bhaskara\",\"description\":\"Navigate the Networks of Conversation.\",\"data\":{\"nodes\":[],\"edges\":[],\"viewport\":{\"zoom\":1,\"x\":0,\"y\":0}},\"is_component\":false,\"updated_at\":\"2023-12-07T00:31:36.053452\",\"folder\":null,\"id\":\"ef6fc1ab-aff8-45a1-8cd5-bc8e38565e4d\",\"user_id\":\"d253bfba-6368-44dc-85f7-0d6da9e45968\"},{\"name\":\"Evil Watt\",\"description\":\"Building Intelligent Interactions.\",\"data\":{\"nodes\":[],\"edges\":[],\"viewport\":{\"zoom\":1,\"x\":0,\"y\":0}},\"is_component\":false,\"updated_at\":\"2023-12-07T00:32:26.765250\",\"folder\":null,\"id\":\"499b5351-9c09-4934-9f9d-a24be2fd8b24\",\"user_id\":\"d253bfba-6368-44dc-85f7-0d6da9e45968\"},{\"name\":\"Jolly Wien\",\"description\":\"Bridging Prompts for Brilliance.\",\"data\":{\"nodes\":[],\"edges\":[],\"viewport\":{\"zoom\":1,\"x\":0,\"y\":0}},\"is_component\":false,\"updated_at\":\"2023-12-07T00:33:23.648859\",\"folder\":null,\"id\":\"a57eda91-7f6e-410d-9990-385fe0c724f3\",\"user_id\":\"d253bfba-6368-44dc-85f7-0d6da9e45968\"},{\"name\":\"Nostalgic Spence\",\"description\":\"Mapping Meaningful Conversations.\",\"data\":{\"nodes\":[],\"edges\":[],\"viewport\":{\"zoom\":1,\"x\":0,\"y\":0}},\"is_component\":false,\"updated_at\":\"2023-12-07T00:34:22.576407\",\"folder\":null,\"id\":\"685f685e-8a1b-4b7e-9e21-6cdd72163c91\",\"user_id\":\"d253bfba-6368-44dc-85f7-0d6da9e45968\"},{\"name\":\"Comical Fermat\",\"description\":\"Create, Connect, Converse.\",\"data\":{\"nodes\":[],\"edges\":[],\"viewport\":{\"zoom\":1,\"x\":0,\"y\":0}},\"is_component\":false,\"updated_at\":\"2023-12-07T00:35:44.920540\",\"folder\":null,\"id\":\"3e061766-b834-4fa4-ba9c-b060925d9703\",\"user_id\":\"d253bfba-6368-44dc-85f7-0d6da9e45968\"},{\"name\":\"Grave Volta\",\"description\":\"Maximize Impact with Intelligent Conversations.\",\"data\":{\"nodes\":[],\"edges\":[],\"viewport\":{\"zoom\":1,\"x\":0,\"y\":0}},\"is_component\":false,\"updated_at\":\"2023-12-07T00:36:33.001572\",\"folder\":null,\"id\":\"135f2fd9-e005-40bc-a9bf-c25107388415\",\"user_id\":\"d253bfba-6368-44dc-85f7-0d6da9e45968\"},{\"name\":\"Gleeful Davinci\",\"description\":\"Create Powerful Connections, Boost Business Value.\",\"data\":{\"nodes\":[],\"edges\":[],\"viewport\":{\"zoom\":1,\"x\":0,\"y\":0}},\"is_component\":false,\"updated_at\":\"2023-12-07T00:37:16.208823\",\"folder\":null,\"id\":\"167cdb24-7e1c-475b-893a-cca2f125426c\",\"user_id\":\"d253bfba-6368-44dc-85f7-0d6da9e45968\"},{\"name\":\"Hilarious Sinoussi\",\"description\":\"Language Chainlink Master.\",\"data\":{\"nodes\":[],\"edges\":[],\"viewport\":{\"zoom\":1,\"x\":0,\"y\":0}},\"is_component\":false,\"updated_at\":\"2023-12-07T00:38:07.215401\",\"folder\":null,\"id\":\"48113cab-2c04-493f-8c2e-c8d067826aa2\",\"user_id\":\"d253bfba-6368-44dc-85f7-0d6da9e45968\"},{\"name\":\"Grave Sagan\",\"description\":\"Connect the Dots, Craft Language.\",\"data\":{\"nodes\":[],\"edges\":[],\"viewport\":{\"zoom\":1,\"x\":0,\"y\":0}},\"is_component\":false,\"updated_at\":\"2023-12-07T00:39:19.479656\",\"folder\":null,\"id\":\"28d292dc-e094-4ffe-a657-178892933267\",\"user_id\":\"d253bfba-6368-44dc-85f7-0d6da9e45968\"},{\"name\":\"Cranky Hoover\",\"description\":\"Crafting Dialogues that Drive Business Success.\",\"data\":{\"nodes\":[],\"edges\":[],\"viewport\":{\"zoom\":1,\"x\":0,\"y\":0}},\"is_component\":false,\"updated_at\":\"2023-12-07T00:40:02.895859\",\"folder\":null,\"id\":\"0c9849b7-b2d6-4d0e-8334-abfb3ae183dd\",\"user_id\":\"d253bfba-6368-44dc-85f7-0d6da9e45968\"},{\"name\":\"Evil Mendeleev\",\"description\":\"Unfolding Linguistic Possibilities.\",\"data\":{\"nodes\":[],\"edges\":[],\"viewport\":{\"zoom\":1,\"x\":0,\"y\":0}},\"is_component\":false,\"updated_at\":\"2023-12-07T00:40:27.867247\",\"folder\":null,\"id\":\"d78c52e9-1941-4555-9bb9-abd01f176705\",\"user_id\":\"d253bfba-6368-44dc-85f7-0d6da9e45968\"},{\"name\":\"Effervescent Dubinsky\",\"description\":\"Where Language Meets Logic.\",\"data\":{\"nodes\":[],\"edges\":[],\"viewport\":{\"zoom\":1,\"x\":0,\"y\":0}},\"is_component\":false,\"updated_at\":\"2023-12-07T00:41:23.177402\",\"folder\":null,\"id\":\"5277a04c-b5da-4597-aaa2-a6b66ea11d02\",\"user_id\":\"d253bfba-6368-44dc-85f7-0d6da9e45968\"},{\"name\":\"Cocky Poitras\",\"description\":\"Where Language Meets Logic.\",\"data\":{\"nodes\":[],\"edges\":[],\"viewport\":{\"zoom\":1,\"x\":0,\"y\":0}},\"is_component\":false,\"updated_at\":\"2023-12-07T00:42:08.731865\",\"folder\":null,\"id\":\"b0d0c8de-4eea-484a-a068-b13e63f7e71c\",\"user_id\":\"d253bfba-6368-44dc-85f7-0d6da9e45968\"},{\"name\":\"Pedantic Ptolemy\",\"description\":\"Crafting Conversations, One Node at a Time.\",\"data\":{\"nodes\":[],\"edges\":[],\"viewport\":{\"zoom\":1,\"x\":0,\"y\":0}},\"is_component\":false,\"updated_at\":\"2023-12-07T00:42:25.658996\",\"folder\":null,\"id\":\"b6f155e2-03eb-4232-9bab-145463382fe9\",\"user_id\":\"d253bfba-6368-44dc-85f7-0d6da9e45968\"},{\"name\":\"Loving Cray\",\"description\":\"Maximize Impact with Intelligent Conversations.\",\"data\":{\"nodes\":[],\"edges\":[],\"viewport\":{\"zoom\":1,\"x\":0,\"y\":0}},\"is_component\":false,\"updated_at\":\"2023-12-07T00:43:57.530112\",\"folder\":null,\"id\":\"b75c10ca-9ecb-432b-88ab-e1847e836e22\",\"user_id\":\"d253bfba-6368-44dc-85f7-0d6da9e45968\"},{\"name\":\"Effervescent Pasteur\",\"description\":\"Language Models, Mapped and Mastered.\",\"data\":{\"nodes\":[],\"edges\":[],\"viewport\":{\"zoom\":1,\"x\":0,\"y\":0}},\"is_component\":false,\"updated_at\":\"2023-12-07T00:44:58.979393\",\"folder\":null,\"id\":\"3710eccb-e7a7-41d5-9339-d9c301515d17\",\"user_id\":\"d253bfba-6368-44dc-85f7-0d6da9e45968\"},{\"name\":\"Pensive Gates\",\"description\":\"The Power of Language at Your Fingertips.\",\"data\":{\"nodes\":[],\"edges\":[],\"viewport\":{\"zoom\":1,\"x\":0,\"y\":0}},\"is_component\":false,\"updated_at\":\"2023-12-07T00:45:42.744174\",\"folder\":null,\"id\":\"fdd2271e-92f6-4349-8c01-2ec0e9e73f13\",\"user_id\":\"d253bfba-6368-44dc-85f7-0d6da9e45968\"},{\"name\":\"Determined Khorana\",\"description\":\"Beyond Text Generation - Unleashing Business Opportunities.\",\"data\":{\"nodes\":[],\"edges\":[],\"viewport\":{\"zoom\":1,\"x\":0,\"y\":0}},\"is_component\":false,\"updated_at\":\"2023-12-07T00:46:10.084684\",\"folder\":null,\"id\":\"88b49a97-0888-4fea-8d9b-6ac2cc6d158e\",\"user_id\":\"d253bfba-6368-44dc-85f7-0d6da9e45968\"},{\"name\":\"Lonely Booth\",\"description\":\"Design Dialogues with Langflow.\",\"data\":{\"nodes\":[],\"edges\":[],\"viewport\":{\"zoom\":1,\"x\":0,\"y\":0}},\"is_component\":false,\"updated_at\":\"2023-12-07T00:46:41.577750\",\"folder\":null,\"id\":\"629afe54-8796-45be-a570-e3ac79c60792\",\"user_id\":\"d253bfba-6368-44dc-85f7-0d6da9e45968\"},{\"name\":\"Jubilant Mendeleev\",\"description\":\"Chain the Words, Master Language!\",\"data\":{\"nodes\":[],\"edges\":[],\"viewport\":{\"zoom\":1,\"x\":0,\"y\":0}},\"is_component\":false,\"updated_at\":\"2023-12-07T00:47:22.631243\",\"folder\":null,\"id\":\"7bf481b0-73fe-4f5b-a3d4-1263d9d8e827\",\"user_id\":\"d253bfba-6368-44dc-85f7-0d6da9e45968\"},{\"name\":\"Clever Varahamihira\",\"description\":\"Building Powerful Solutions with Language Models.\",\"data\":{\"nodes\":[],\"edges\":[],\"viewport\":{\"zoom\":1,\"x\":0,\"y\":0}},\"is_component\":false,\"updated_at\":\"2023-12-07T00:49:51.026960\",\"folder\":null,\"id\":\"df9e86b6-56c9-4848-9010-102615314766\",\"user_id\":\"d253bfba-6368-44dc-85f7-0d6da9e45968\"},{\"name\":\"Sleepy Stallman\",\"description\":\"Empowering Language Engineering.\",\"data\":{\"nodes\":[],\"edges\":[],\"viewport\":{\"zoom\":1,\"x\":0,\"y\":0}},\"is_component\":false,\"updated_at\":\"2023-12-07T00:50:14.932236\",\"folder\":null,\"id\":\"3e66994c-9b7a-4b85-a917-65d1959d7352\",\"user_id\":\"d253bfba-6368-44dc-85f7-0d6da9e45968\"},{\"name\":\"Modest Wozniak\",\"description\":\"Advanced NLP for Groundbreaking Business Solutions.\",\"data\":{\"nodes\":[],\"edges\":[],\"viewport\":{\"zoom\":1,\"x\":0,\"y\":0}},\"is_component\":false,\"updated_at\":\"2023-12-07T00:51:13.811894\",\"folder\":null,\"id\":\"d10f924a-5780-4255-9f41-3e102ae03e84\",\"user_id\":\"d253bfba-6368-44dc-85f7-0d6da9e45968\"},{\"name\":\"Hopeful Mirzakhani\",\"description\":\"Graph Your Way to Great Conversations.\",\"data\":{\"nodes\":[],\"edges\":[],\"viewport\":{\"zoom\":1,\"x\":0,\"y\":0}},\"is_component\":false,\"updated_at\":\"2023-12-07T00:52:23.906908\",\"folder\":null,\"id\":\"f3378fa8-ccaf-4a3b-90d6-b8ab0c4e481f\",\"user_id\":\"d253bfba-6368-44dc-85f7-0d6da9e45968\"},{\"name\":\"Awesome Joule\",\"description\":\"Design, Develop, Dialogize.\",\"data\":{\"nodes\":[],\"edges\":[],\"viewport\":{\"zoom\":1,\"x\":0,\"y\":0}},\"is_component\":false,\"updated_at\":\"2023-12-07T00:52:43.863440\",\"folder\":null,\"id\":\"deaa50e7-a8b1-46b1-856c-334ee781e1c2\",\"user_id\":\"d253bfba-6368-44dc-85f7-0d6da9e45968\"},{\"name\":\"Peppy Shockley\",\"description\":\"Generate, Innovate, Communicate.\",\"data\":{\"nodes\":[],\"edges\":[],\"viewport\":{\"zoom\":1,\"x\":0,\"y\":0}},\"is_component\":false,\"updated_at\":\"2023-12-07T00:53:43.299699\",\"folder\":null,\"id\":\"c72eac2c-d924-40c6-a102-da524216d090\",\"user_id\":\"d253bfba-6368-44dc-85f7-0d6da9e45968\"},{\"name\":\"Zany Dewey\",\"description\":\"Flow into the Future of Language.\",\"data\":{\"nodes\":[],\"edges\":[],\"viewport\":{\"zoom\":1,\"x\":0,\"y\":0}},\"is_component\":false,\"updated_at\":\"2023-12-07T00:54:18.848827\",\"folder\":null,\"id\":\"d9425324-bb60-462e-b431-90a536f2bc76\",\"user_id\":\"d253bfba-6368-44dc-85f7-0d6da9e45968\"},{\"name\":\"Gloomy Joliot\",\"description\":\"Language Engineering Excellence.\",\"data\":{\"nodes\":[],\"edges\":[],\"viewport\":{\"zoom\":1,\"x\":0,\"y\":0}},\"is_component\":false,\"updated_at\":\"2023-12-07T00:58:12.348608\",\"folder\":null,\"id\":\"621ba134-3fac-487c-98cd-96941439f1be\",\"user_id\":\"d253bfba-6368-44dc-85f7-0d6da9e45968\"},{\"name\":\"Backstabbing Franklin\",\"description\":\"Craft Language Connections Here.\",\"data\":{\"nodes\":[],\"edges\":[],\"viewport\":{\"zoom\":1,\"x\":0,\"y\":0}},\"is_component\":false,\"updated_at\":\"2023-12-07T00:58:13.491824\",\"folder\":null,\"id\":\"86ca9773-c7b7-4a1a-859a-6cbe0ddff206\",\"user_id\":\"d253bfba-6368-44dc-85f7-0d6da9e45968\"},{\"name\":\"Sharp Swartz\",\"description\":\"Beyond Text Generation - Unleashing Business Opportunities.\",\"data\":{\"nodes\":[],\"edges\":[],\"viewport\":{\"zoom\":1,\"x\":0,\"y\":0}},\"is_component\":false,\"updated_at\":\"2023-12-07T00:58:13.524414\",\"folder\":null,\"id\":\"da1c02b7-d608-4498-9946-7d02f55fa103\",\"user_id\":\"d253bfba-6368-44dc-85f7-0d6da9e45968\"},{\"name\":\"Serene Volta\",\"description\":\"Connect the Dots, Craft Language.\",\"data\":{\"nodes\":[],\"edges\":[],\"viewport\":{\"zoom\":1,\"x\":0,\"y\":0}},\"is_component\":false,\"updated_at\":\"2023-12-07T00:58:13.641432\",\"folder\":null,\"id\":\"8d5dd998-6b51-4f65-8331-086a7f3b11d7\",\"user_id\":\"d253bfba-6368-44dc-85f7-0d6da9e45968\"},{\"name\":\"Focused Lichterman\",\"description\":\"Crafting Dialogues that Drive Business Success.\",\"data\":{\"nodes\":[],\"edges\":[],\"viewport\":{\"zoom\":1,\"x\":0,\"y\":0}},\"is_component\":false,\"updated_at\":\"2023-12-07T00:58:13.746120\",\"folder\":null,\"id\":\"942027d3-e2ea-48c6-8279-0a41b54e8862\",\"user_id\":\"d253bfba-6368-44dc-85f7-0d6da9e45968\"},{\"name\":\"Lively Einstein\",\"description\":\"Unleashing Linguistic Creativity.\",\"data\":{\"nodes\":[],\"edges\":[],\"viewport\":{\"zoom\":1,\"x\":0,\"y\":0}},\"is_component\":false,\"updated_at\":\"2023-12-07T00:58:13.746904\",\"folder\":null,\"id\":\"9e9b6298-1073-4297-8ecc-3c620b432e70\",\"user_id\":\"d253bfba-6368-44dc-85f7-0d6da9e45968\"},{\"name\":\"Cocky Planck\",\"description\":\"Empowering Language Engineering.\",\"data\":{\"nodes\":[],\"edges\":[],\"viewport\":{\"zoom\":1,\"x\":0,\"y\":0}},\"is_component\":false,\"updated_at\":\"2023-12-07T00:58:13.747420\",\"folder\":null,\"id\":\"7cd60c83-b797-4e60-af6d-cbc540657943\",\"user_id\":\"d253bfba-6368-44dc-85f7-0d6da9e45968\"},{\"name\":\"Suspicious Zobell\",\"description\":\"Innovation in Interaction, Revolution in Revenue.\",\"data\":{\"nodes\":[],\"edges\":[],\"viewport\":{\"zoom\":1,\"x\":0,\"y\":0}},\"is_component\":false,\"updated_at\":\"2023-12-07T00:58:13.749951\",\"folder\":null,\"id\":\"dab08306-9521-4e15-aa11-e6a6a4e210f8\",\"user_id\":\"d253bfba-6368-44dc-85f7-0d6da9e45968\"},{\"name\":\"Small Knuth\",\"description\":\"Nurture NLP Nodes Here.\",\"data\":{\"nodes\":[],\"edges\":[],\"viewport\":{\"zoom\":1,\"x\":0,\"y\":0}},\"is_component\":false,\"updated_at\":\"2023-12-07T00:59:16.772119\",\"folder\":null,\"id\":\"c9149590-636a-44f5-aaae-45a4e78fe4df\",\"user_id\":\"d253bfba-6368-44dc-85f7-0d6da9e45968\"},{\"name\":\"Evil Wright\",\"description\":\"Unfolding Linguistic Possibilities.\",\"data\":{\"nodes\":[],\"edges\":[],\"viewport\":{\"zoom\":1,\"x\":0,\"y\":0}},\"is_component\":false,\"updated_at\":\"2023-12-07T00:59:52.954568\",\"folder\":null,\"id\":\"6b23b2ad-c07c-46f6-b9ad-268783d1712e\",\"user_id\":\"d253bfba-6368-44dc-85f7-0d6da9e45968\"},{\"name\":\"Vibrant Lalande\",\"description\":\"Language Models, Mapped and Mastered.\",\"data\":{\"nodes\":[],\"edges\":[],\"viewport\":{\"zoom\":1,\"x\":0,\"y\":0}},\"is_component\":false,\"updated_at\":\"2023-12-07T00:59:53.656156\",\"folder\":null,\"id\":\"ece3bcf6-a147-4559-862e-cacff9db5f48\",\"user_id\":\"d253bfba-6368-44dc-85f7-0d6da9e45968\"},{\"name\":\"Happy Gauss\",\"description\":\"The Pinnacle of Prompt Generation.\",\"data\":{\"nodes\":[],\"edges\":[],\"viewport\":{\"zoom\":1,\"x\":0,\"y\":0}},\"is_component\":false,\"updated_at\":\"2023-12-07T00:59:53.717991\",\"folder\":null,\"id\":\"252b6021-ecad-4eaf-9e2f-106c4c89c496\",\"user_id\":\"d253bfba-6368-44dc-85f7-0d6da9e45968\"},{\"name\":\"Gigantic Rosalind\",\"description\":\"Building Powerful Solutions with Language Models.\",\"data\":{\"nodes\":[],\"edges\":[],\"viewport\":{\"zoom\":1,\"x\":0,\"y\":0}},\"is_component\":false,\"updated_at\":\"2023-12-07T00:59:53.736261\",\"folder\":null,\"id\":\"b8cb6d8d-c0fb-4e8d-a46e-2c608dc8a714\",\"user_id\":\"d253bfba-6368-44dc-85f7-0d6da9e45968\"},{\"name\":\"Adoring Hubble\",\"description\":\"Powerful Prompts, Perfectly Positioned.\",\"data\":{\"nodes\":[],\"edges\":[],\"viewport\":{\"zoom\":1,\"x\":0,\"y\":0}},\"is_component\":false,\"updated_at\":\"2023-12-07T00:59:53.769546\",\"folder\":null,\"id\":\"553a67db-7225-474c-978e-8a40cde2bfb2\",\"user_id\":\"d253bfba-6368-44dc-85f7-0d6da9e45968\"},{\"name\":\"Pensive Mclean\",\"description\":\"Unlock the Power of AI in Your Business Conversations.\",\"data\":{\"nodes\":[],\"edges\":[],\"viewport\":{\"zoom\":1,\"x\":0,\"y\":0}},\"is_component\":false,\"updated_at\":\"2023-12-07T00:59:53.981063\",\"folder\":null,\"id\":\"e0865007-4d80-4edf-87ab-9e8d2892d719\",\"user_id\":\"d253bfba-6368-44dc-85f7-0d6da9e45968\"},{\"name\":\"Trusting Murdock\",\"description\":\"Uncover Business Opportunities with NLP.\",\"data\":{\"nodes\":[],\"edges\":[],\"viewport\":{\"zoom\":1,\"x\":0,\"y\":0}},\"is_component\":false,\"updated_at\":\"2023-12-07T00:59:53.982286\",\"folder\":null,\"id\":\"1021cd20-66e0-4b81-9c79-bfe729774d20\",\"user_id\":\"d253bfba-6368-44dc-85f7-0d6da9e45968\"},{\"name\":\"Perky Riemann\",\"description\":\"Powerful Prompts, Perfectly Positioned.\",\"data\":{\"nodes\":[],\"edges\":[],\"viewport\":{\"zoom\":1,\"x\":0,\"y\":0}},\"is_component\":false,\"updated_at\":\"2023-12-07T00:59:53.983216\",\"folder\":null,\"id\":\"089074d3-8a1e-4d85-a59d-b4717090e4d3\",\"user_id\":\"d253bfba-6368-44dc-85f7-0d6da9e45968\"},{\"name\":\"Small Tesla\",\"description\":\"Language Models, Unleashed.\",\"data\":{\"nodes\":[],\"edges\":[],\"viewport\":{\"zoom\":1,\"x\":0,\"y\":0}},\"is_component\":false,\"updated_at\":\"2023-12-07T01:00:35.704142\",\"folder\":null,\"id\":\"beb49d88-255e-4db4-931b-4ab4358f1097\",\"user_id\":\"d253bfba-6368-44dc-85f7-0d6da9e45968\"},{\"name\":\"Effervescent Boyd\",\"description\":\"Smart Chains, Smarter Conversations.\",\"data\":{\"nodes\":[],\"edges\":[],\"viewport\":{\"zoom\":1,\"x\":0,\"y\":0}},\"is_component\":false,\"updated_at\":\"2023-12-07T01:01:13.569507\",\"folder\":null,\"id\":\"75b5ab8d-e0c0-43cf-912b-8578550e198a\",\"user_id\":\"d253bfba-6368-44dc-85f7-0d6da9e45968\"},{\"name\":\"Small Babbage\",\"description\":\"Interactive Language Weaving.\",\"data\":{\"nodes\":[],\"edges\":[],\"viewport\":{\"zoom\":1,\"x\":0,\"y\":0}},\"is_component\":false,\"updated_at\":\"2023-12-07T01:01:27.944868\",\"folder\":null,\"id\":\"503edd55-8f70-43e5-87fb-2324eaf62336\",\"user_id\":\"d253bfba-6368-44dc-85f7-0d6da9e45968\"},{\"name\":\"Lonely Bose\",\"description\":\"Crafting Dialogues that Drive Business Success.\",\"data\":{\"nodes\":[],\"edges\":[],\"viewport\":{\"zoom\":1,\"x\":0,\"y\":0}},\"is_component\":false,\"updated_at\":\"2023-12-07T01:02:40.122079\",\"folder\":null,\"id\":\"ae4f2992-1a23-4a43-bec6-68b823935762\",\"user_id\":\"d253bfba-6368-44dc-85f7-0d6da9e45968\"},{\"name\":\"Mirthful Coulomb\",\"description\":\"Craft Meaningful Interactions, Generate Value.\",\"data\":{\"nodes\":[],\"edges\":[],\"viewport\":{\"zoom\":1,\"x\":0,\"y\":0}},\"is_component\":false,\"updated_at\":\"2023-12-07T01:03:15.263237\",\"folder\":null,\"id\":\"a2a464db-b02a-4440-ad9e-7b552ee6c027\",\"user_id\":\"d253bfba-6368-44dc-85f7-0d6da9e45968\"},{\"name\":\"Drunk Newton\",\"description\":\"Craft Meaningful Interactions, Generate Value.\",\"data\":{\"nodes\":[],\"edges\":[],\"viewport\":{\"zoom\":1,\"x\":0,\"y\":0}},\"is_component\":false,\"updated_at\":\"2023-12-07T01:03:15.883766\",\"folder\":null,\"id\":\"1a5d9af7-5a96-4035-a09c-e15741785828\",\"user_id\":\"d253bfba-6368-44dc-85f7-0d6da9e45968\"},{\"name\":\"Jovial Pasteur\",\"description\":\"Your Hub for Text Generation.\",\"data\":{\"nodes\":[],\"edges\":[],\"viewport\":{\"zoom\":1,\"x\":0,\"y\":0}},\"is_component\":false,\"updated_at\":\"2023-12-07T01:03:15.933083\",\"folder\":null,\"id\":\"04b94873-0828-41dc-a850-fd4132c9b9f1\",\"user_id\":\"d253bfba-6368-44dc-85f7-0d6da9e45968\"},{\"name\":\"Playful Spence\",\"description\":\"Connect the Dots, Craft Language.\",\"data\":{\"nodes\":[],\"edges\":[],\"viewport\":{\"zoom\":1,\"x\":0,\"y\":0}},\"is_component\":false,\"updated_at\":\"2023-12-07T01:03:15.967685\",\"folder\":null,\"id\":\"47003dc2-7884-48a3-aa66-e4185079f4d9\",\"user_id\":\"d253bfba-6368-44dc-85f7-0d6da9e45968\"},{\"name\":\"Cheerful Noyce\",\"description\":\"Your Passport to Linguistic Landscapes.\",\"data\":{\"nodes\":[],\"edges\":[],\"viewport\":{\"zoom\":1,\"x\":0,\"y\":0}},\"is_component\":false,\"updated_at\":\"2023-12-07T01:03:15.983198\",\"folder\":null,\"id\":\"13769cb4-2e15-4d54-a28a-c97dc15db58c\",\"user_id\":\"d253bfba-6368-44dc-85f7-0d6da9e45968\"},{\"name\":\"Awesome Edison\",\"description\":\"Unfolding Linguistic Possibilities.\",\"data\":{\"nodes\":[],\"edges\":[],\"viewport\":{\"zoom\":1,\"x\":0,\"y\":0}},\"is_component\":false,\"updated_at\":\"2023-12-07T01:03:16.018879\",\"folder\":null,\"id\":\"453dacde-6b10-406b-a5b3-f90f44be6899\",\"user_id\":\"d253bfba-6368-44dc-85f7-0d6da9e45968\"},{\"name\":\"Upbeat Snyder\",\"description\":\"Powerful Prompts, Perfectly Positioned.\",\"data\":{\"nodes\":[],\"edges\":[],\"viewport\":{\"zoom\":1,\"x\":0,\"y\":0}},\"is_component\":false,\"updated_at\":\"2023-12-07T01:03:16.205689\",\"folder\":null,\"id\":\"9544fac9-3002-47aa-86b9-102844fe9649\",\"user_id\":\"d253bfba-6368-44dc-85f7-0d6da9e45968\"},{\"name\":\"Tender Khorana\",\"description\":\"Chain the Words, Master Language!\",\"data\":{\"nodes\":[],\"edges\":[],\"viewport\":{\"zoom\":1,\"x\":0,\"y\":0}},\"is_component\":false,\"updated_at\":\"2023-12-07T01:03:16.243434\",\"folder\":null,\"id\":\"90498ef6-34f9-45c8-8cd0-fe6a36a26f41\",\"user_id\":\"d253bfba-6368-44dc-85f7-0d6da9e45968\"},{\"name\":\"Elated Albattani\",\"description\":\"Interactive Language Weaving.\",\"data\":{\"nodes\":[],\"edges\":[],\"viewport\":{\"zoom\":1,\"x\":0,\"y\":0}},\"is_component\":false,\"updated_at\":\"2023-12-07T01:05:07.775497\",\"folder\":null,\"id\":\"9577c416-8ce8-48f6-ad6d-ab2e003bb415\",\"user_id\":\"d253bfba-6368-44dc-85f7-0d6da9e45968\"},{\"name\":\"Charming Goodall\",\"description\":\"Maximize Impact with Intelligent Conversations.\",\"data\":{\"nodes\":[],\"edges\":[],\"viewport\":{\"zoom\":1,\"x\":0,\"y\":0}},\"is_component\":false,\"updated_at\":\"2023-12-07T01:07:52.139318\",\"folder\":null,\"id\":\"f10dc08e-b9c7-44b3-8837-b95aee2f6dbb\",\"user_id\":\"d253bfba-6368-44dc-85f7-0d6da9e45968\"},{\"name\":\"Hilarious Ramanujan\",\"description\":\"Harness the Power of Conversational AI.\",\"data\":{\"nodes\":[],\"edges\":[],\"viewport\":{\"zoom\":1,\"x\":0,\"y\":0}},\"is_component\":false,\"updated_at\":\"2023-12-07T01:08:22.448480\",\"folder\":null,\"id\":\"c864bd8c-67cd-465f-bf7d-7a35c7df37f3\",\"user_id\":\"d253bfba-6368-44dc-85f7-0d6da9e45968\"},{\"name\":\"Tender Mclean\",\"description\":\"Unleashing Linguistic Creativity.\",\"data\":{\"nodes\":[],\"edges\":[],\"viewport\":{\"zoom\":1,\"x\":0,\"y\":0}},\"is_component\":false,\"updated_at\":\"2023-12-07T01:09:56.507826\",\"folder\":null,\"id\":\"f0c13b19-ae23-40e6-88d6-d135897ee100\",\"user_id\":\"d253bfba-6368-44dc-85f7-0d6da9e45968\"},{\"name\":\"Grave Hawking\",\"description\":\"Building Intelligent Interactions.\",\"data\":{\"nodes\":[],\"edges\":[],\"viewport\":{\"zoom\":1,\"x\":0,\"y\":0}},\"is_component\":false,\"updated_at\":\"2023-12-07T01:10:27.169757\",\"folder\":null,\"id\":\"0afb91b4-8f41-4270-900a-f5de647d45ad\",\"user_id\":\"d253bfba-6368-44dc-85f7-0d6da9e45968\"},{\"name\":\"Gloomy Lovelace\",\"description\":\"Your Passport to Linguistic Landscapes.\",\"data\":{\"nodes\":[],\"edges\":[],\"viewport\":{\"zoom\":1,\"x\":0,\"y\":0}},\"is_component\":false,\"updated_at\":\"2023-12-07T01:11:02.292233\",\"folder\":null,\"id\":\"0f1e5dcf-8769-4157-b495-5f215b490107\",\"user_id\":\"d253bfba-6368-44dc-85f7-0d6da9e45968\"},{\"name\":\"Fervent Kilby\",\"description\":\"Empowering Enterprises with Intelligent Interactions.\",\"data\":{\"nodes\":[],\"edges\":[],\"viewport\":{\"zoom\":1,\"x\":0,\"y\":0}},\"is_component\":false,\"updated_at\":\"2023-12-07T01:11:46.960966\",\"folder\":null,\"id\":\"310d03d9-dd50-4946-9a27-38ee06906212\",\"user_id\":\"d253bfba-6368-44dc-85f7-0d6da9e45968\"},{\"name\":\"Admiring Almeida\",\"description\":\"Language Models, Mapped and Mastered.\",\"data\":{\"nodes\":[],\"edges\":[],\"viewport\":{\"zoom\":1,\"x\":0,\"y\":0}},\"is_component\":false,\"updated_at\":\"2023-12-07T01:12:24.475101\",\"folder\":null,\"id\":\"3cbc8fc2-a86f-4177-9a1c-a833b2a24283\",\"user_id\":\"d253bfba-6368-44dc-85f7-0d6da9e45968\"},{\"name\":\"Elated Roentgen\",\"description\":\"Empowering Enterprises with Intelligent Interactions.\",\"data\":{\"nodes\":[],\"edges\":[],\"viewport\":{\"zoom\":1,\"x\":0,\"y\":0}},\"is_component\":false,\"updated_at\":\"2023-12-07T01:13:06.753571\",\"folder\":null,\"id\":\"c508e922-29e9-4234-84ae-505c5bdf41c1\",\"user_id\":\"d253bfba-6368-44dc-85f7-0d6da9e45968\"},{\"name\":\"Perky Poitras\",\"description\":\"Chain the Words, Master Language!\",\"data\":{\"nodes\":[],\"edges\":[],\"viewport\":{\"zoom\":1,\"x\":0,\"y\":0}},\"is_component\":false,\"updated_at\":\"2023-12-07T01:13:07.754605\",\"folder\":null,\"id\":\"1431df05-1b6f-41af-a063-a18d26a946ef\",\"user_id\":\"d253bfba-6368-44dc-85f7-0d6da9e45968\"},{\"name\":\"Tender Khayyam\",\"description\":\"Navigate the Linguistic Landscape, Discover Opportunities.\",\"data\":{\"nodes\":[],\"edges\":[],\"viewport\":{\"zoom\":1,\"x\":0,\"y\":0}},\"is_component\":false,\"updated_at\":\"2023-12-07T01:13:07.791627\",\"folder\":null,\"id\":\"344e03fb-fd49-4e87-be67-7dce04ba655b\",\"user_id\":\"d253bfba-6368-44dc-85f7-0d6da9e45968\"},{\"name\":\"Zealous Mayer\",\"description\":\"Navigate the Linguistic Landscape, Discover Opportunities.\",\"data\":{\"nodes\":[],\"edges\":[],\"viewport\":{\"zoom\":1,\"x\":0,\"y\":0}},\"is_component\":false,\"updated_at\":\"2023-12-07T01:13:07.803889\",\"folder\":null,\"id\":\"8b3ff1cb-3a6c-46ee-b09a-0e9f9f13a8b9\",\"user_id\":\"d253bfba-6368-44dc-85f7-0d6da9e45968\"},{\"name\":\"Tiny Ramanujan\",\"description\":\"Empowering Communication, Enabling Opportunities.\",\"data\":{\"nodes\":[],\"edges\":[],\"viewport\":{\"zoom\":1,\"x\":0,\"y\":0}},\"is_component\":false,\"updated_at\":\"2023-12-07T01:13:07.822583\",\"folder\":null,\"id\":\"18961e76-f4b1-4968-926a-fed22cb04f69\",\"user_id\":\"d253bfba-6368-44dc-85f7-0d6da9e45968\"},{\"name\":\"Cheerful Franklin\",\"description\":\"Building Intelligent Interactions.\",\"data\":{\"nodes\":[],\"edges\":[],\"viewport\":{\"zoom\":1,\"x\":0,\"y\":0}},\"is_component\":false,\"updated_at\":\"2023-12-07T01:13:07.854440\",\"folder\":null,\"id\":\"0e0ee854-ab46-4333-a848-2e1239a24334\",\"user_id\":\"d253bfba-6368-44dc-85f7-0d6da9e45968\"},{\"name\":\"Serene Swirles\",\"description\":\"Maximize Impact with Intelligent Conversations.\",\"data\":{\"nodes\":[],\"edges\":[],\"viewport\":{\"zoom\":1,\"x\":0,\"y\":0}},\"is_component\":false,\"updated_at\":\"2023-12-07T01:13:07.988932\",\"folder\":null,\"id\":\"cc7b8238-3d15-4f78-bd0c-8311691c9ff8\",\"user_id\":\"d253bfba-6368-44dc-85f7-0d6da9e45968\"},{\"name\":\"Sleepy Swartz\",\"description\":\"Uncover Business Opportunities with NLP.\",\"data\":{\"nodes\":[],\"edges\":[],\"viewport\":{\"zoom\":1,\"x\":0,\"y\":0}},\"is_component\":false,\"updated_at\":\"2023-12-07T01:13:08.028688\",\"folder\":null,\"id\":\"123369f9-c83c-4ed3-93b6-78ca29c271cf\",\"user_id\":\"d253bfba-6368-44dc-85f7-0d6da9e45968\"},{\"name\":\"Cranky Kowalevski\",\"description\":\"Unleashing Linguistic Creativity.\",\"data\":{\"nodes\":[],\"edges\":[],\"viewport\":{\"zoom\":1,\"x\":0,\"y\":0}},\"is_component\":false,\"updated_at\":\"2023-12-07T01:13:59.097607\",\"folder\":null,\"id\":\"ed4b1490-e9e5-46bf-b337-166b48eaadd6\",\"user_id\":\"d253bfba-6368-44dc-85f7-0d6da9e45968\"},{\"name\":\"Sprightly Golick\",\"description\":\"Building Powerful Solutions with Language Models.\",\"data\":{\"nodes\":[],\"edges\":[],\"viewport\":{\"zoom\":1,\"x\":0,\"y\":0}},\"is_component\":false,\"updated_at\":\"2023-12-07T01:13:59.617772\",\"folder\":null,\"id\":\"9d1be311-c618-4e3e-aeb1-4161ab37850e\",\"user_id\":\"d253bfba-6368-44dc-85f7-0d6da9e45968\"},{\"name\":\"Boring Newton\",\"description\":\"Generate, Innovate, Communicate.\",\"data\":{\"nodes\":[],\"edges\":[],\"viewport\":{\"zoom\":1,\"x\":0,\"y\":0}},\"is_component\":false,\"updated_at\":\"2023-12-07T01:13:59.646124\",\"folder\":null,\"id\":\"63a75f99-1745-40d3-9e27-3d19a143be45\",\"user_id\":\"d253bfba-6368-44dc-85f7-0d6da9e45968\"},{\"name\":\"Sprightly Noyce\",\"description\":\"Beyond Text Generation - Unleashing Business Opportunities.\",\"data\":{\"nodes\":[],\"edges\":[],\"viewport\":{\"zoom\":1,\"x\":0,\"y\":0}},\"is_component\":false,\"updated_at\":\"2023-12-07T01:13:59.685781\",\"folder\":null,\"id\":\"b418ca87-eb17-42e8-b789-3fcb0cab3ddb\",\"user_id\":\"d253bfba-6368-44dc-85f7-0d6da9e45968\"},{\"name\":\"Fluffy Fermat\",\"description\":\"Text Generation Meets Business Transformation.\",\"data\":{\"nodes\":[],\"edges\":[],\"viewport\":{\"zoom\":1,\"x\":0,\"y\":0}},\"is_component\":false,\"updated_at\":\"2023-12-07T01:13:59.705984\",\"folder\":null,\"id\":\"93802b07-eee9-4a2b-8691-7d9a231bd67e\",\"user_id\":\"d253bfba-6368-44dc-85f7-0d6da9e45968\"},{\"name\":\"Stoic Payne\",\"description\":\"Beyond Text Generation - Unleashing Business Opportunities.\",\"data\":{\"nodes\":[],\"edges\":[],\"viewport\":{\"zoom\":1,\"x\":0,\"y\":0}},\"is_component\":false,\"updated_at\":\"2023-12-07T01:13:59.723990\",\"folder\":null,\"id\":\"d62df661-0ae5-4b41-a9fb-71cb2e46ad52\",\"user_id\":\"d253bfba-6368-44dc-85f7-0d6da9e45968\"},{\"name\":\"Effervescent Darwin\",\"description\":\"Unleashing Linguistic Creativity.\",\"data\":{\"nodes\":[],\"edges\":[],\"viewport\":{\"zoom\":1,\"x\":0,\"y\":0}},\"is_component\":false,\"updated_at\":\"2023-12-07T01:13:59.818343\",\"folder\":null,\"id\":\"d1f62248-415c-474a-bfa6-3509a528a33b\",\"user_id\":\"d253bfba-6368-44dc-85f7-0d6da9e45968\"},{\"name\":\"Focused Thompson\",\"description\":\"Transform Your Business with Smart Dialogues.\",\"data\":{\"nodes\":[],\"edges\":[],\"viewport\":{\"zoom\":1,\"x\":0,\"y\":0}},\"is_component\":false,\"updated_at\":\"2023-12-07T01:13:59.925999\",\"folder\":null,\"id\":\"d2267176-f020-4c52-90a4-7f944d7c1749\",\"user_id\":\"d253bfba-6368-44dc-85f7-0d6da9e45968\"},{\"name\":\"Admiring Dewey\",\"description\":\"Navigate the Networks of Conversation.\",\"data\":{\"nodes\":[],\"edges\":[],\"viewport\":{\"zoom\":1,\"x\":0,\"y\":0}},\"is_component\":false,\"updated_at\":\"2023-12-07T01:15:07.400402\",\"folder\":null,\"id\":\"8cf1ac8d-d34d-4e8a-a9da-be44672e1dfb\",\"user_id\":\"d253bfba-6368-44dc-85f7-0d6da9e45968\"},{\"name\":\"Prickly Zuse\",\"description\":\"Where Language Meets Logic.\",\"data\":{\"nodes\":[],\"edges\":[],\"viewport\":{\"zoom\":1,\"x\":0,\"y\":0}},\"is_component\":false,\"updated_at\":\"2023-12-07T01:15:08.384611\",\"folder\":null,\"id\":\"bae3cb5b-0f1b-4e95-bf58-7eab38da3d73\",\"user_id\":\"d253bfba-6368-44dc-85f7-0d6da9e45968\"},{\"name\":\"Hungry Zuse\",\"description\":\"The Pinnacle of Prompt Generation.\",\"data\":{\"nodes\":[],\"edges\":[],\"viewport\":{\"zoom\":1,\"x\":0,\"y\":0}},\"is_component\":false,\"updated_at\":\"2023-12-07T01:15:08.436591\",\"folder\":null,\"id\":\"4dfafe3e-e9ef-405d-be72-550084411d69\",\"user_id\":\"d253bfba-6368-44dc-85f7-0d6da9e45968\"},{\"name\":\"Lonely Khayyam\",\"description\":\"Design Dialogues with Langflow.\",\"data\":{\"nodes\":[],\"edges\":[],\"viewport\":{\"zoom\":1,\"x\":0,\"y\":0}},\"is_component\":false,\"updated_at\":\"2023-12-07T01:15:08.435958\",\"folder\":null,\"id\":\"e0f81215-dc55-4b5a-b8cf-6e2fcbf297a7\",\"user_id\":\"d253bfba-6368-44dc-85f7-0d6da9e45968\"},{\"name\":\"Big Mendel\",\"description\":\"Innovation in Interaction with Langflow.\",\"data\":{\"nodes\":[],\"edges\":[],\"viewport\":{\"zoom\":1,\"x\":0,\"y\":0}},\"is_component\":false,\"updated_at\":\"2023-12-07T01:15:08.470080\",\"folder\":null,\"id\":\"5022a71c-da47-4975-a4d0-6d2d9e760d3d\",\"user_id\":\"d253bfba-6368-44dc-85f7-0d6da9e45968\"},{\"name\":\"Inquisitive Poitras\",\"description\":\"Navigate the Networks of Conversation.\",\"data\":{\"nodes\":[],\"edges\":[],\"viewport\":{\"zoom\":1,\"x\":0,\"y\":0}},\"is_component\":false,\"updated_at\":\"2023-12-07T01:15:08.484430\",\"folder\":null,\"id\":\"4f1ff9e3-3500-404c-80af-2010bc46cdcb\",\"user_id\":\"d253bfba-6368-44dc-85f7-0d6da9e45968\"},{\"name\":\"Joyous Jones\",\"description\":\"The Power of Language at Your Fingertips.\",\"data\":{\"nodes\":[],\"edges\":[],\"viewport\":{\"zoom\":1,\"x\":0,\"y\":0}},\"is_component\":false,\"updated_at\":\"2023-12-07T01:15:08.661306\",\"folder\":null,\"id\":\"77af3e47-c2cc-42f6-99e1-78589439a447\",\"user_id\":\"d253bfba-6368-44dc-85f7-0d6da9e45968\"},{\"name\":\"Exuberant Khayyam\",\"description\":\"Empowering Communication, Enabling Opportunities.\",\"data\":{\"nodes\":[],\"edges\":[],\"viewport\":{\"zoom\":1,\"x\":0,\"y\":0}},\"is_component\":false,\"updated_at\":\"2023-12-07T01:15:08.662877\",\"folder\":null,\"id\":\"6f3e2e56-b329-47e3-86cc-024c29203016\",\"user_id\":\"d253bfba-6368-44dc-85f7-0d6da9e45968\"},{\"name\":\"Dazzling Visvesvaraya\",\"description\":\"Maximize Impact with Intelligent Conversations.\",\"data\":{\"nodes\":[],\"edges\":[],\"viewport\":{\"zoom\":1,\"x\":0,\"y\":0}},\"is_component\":false,\"updated_at\":\"2023-12-07T01:16:10.092917\",\"folder\":null,\"id\":\"449ac0ee-ee29-4a9f-9aff-fd6a86624457\",\"user_id\":\"d253bfba-6368-44dc-85f7-0d6da9e45968\"},{\"name\":\"Nostalgic Tesla\",\"description\":\"Nurture NLP Nodes Here.\",\"data\":{\"nodes\":[],\"edges\":[],\"viewport\":{\"zoom\":1,\"x\":0,\"y\":0}},\"is_component\":false,\"updated_at\":\"2023-12-07T01:16:10.630382\",\"folder\":null,\"id\":\"a2136ed3-dc75-4a8f-ab34-6887ff955b23\",\"user_id\":\"d253bfba-6368-44dc-85f7-0d6da9e45968\"},{\"name\":\"Goofy Noether\",\"description\":\"Language Models, Unleashed.\",\"data\":{\"nodes\":[],\"edges\":[],\"viewport\":{\"zoom\":1,\"x\":0,\"y\":0}},\"is_component\":false,\"updated_at\":\"2023-12-07T01:16:10.652058\",\"folder\":null,\"id\":\"fd1080f8-db07-481a-b2ba-60f67fcb20a6\",\"user_id\":\"d253bfba-6368-44dc-85f7-0d6da9e45968\"},{\"name\":\"Dazzling Pasteur\",\"description\":\"Language Models, Unleashed.\",\"data\":{\"nodes\":[],\"edges\":[],\"viewport\":{\"zoom\":1,\"x\":0,\"y\":0}},\"is_component\":false,\"updated_at\":\"2023-12-07T01:16:10.688661\",\"folder\":null,\"id\":\"d534d5e1-92aa-4fb2-a795-7071c4feba47\",\"user_id\":\"d253bfba-6368-44dc-85f7-0d6da9e45968\"},{\"name\":\"Comical Sinoussi\",\"description\":\"Bridging Prompts for Brilliance.\",\"data\":{\"nodes\":[],\"edges\":[],\"viewport\":{\"zoom\":1,\"x\":0,\"y\":0}},\"is_component\":false,\"updated_at\":\"2023-12-07T01:16:10.741385\",\"folder\":null,\"id\":\"85323170-c066-4d8f-acb0-1b142241389e\",\"user_id\":\"d253bfba-6368-44dc-85f7-0d6da9e45968\"},{\"name\":\"Small Ramanujan\",\"description\":\"Uncover Business Opportunities with NLP.\",\"data\":{\"nodes\":[],\"edges\":[],\"viewport\":{\"zoom\":1,\"x\":0,\"y\":0}},\"is_component\":false,\"updated_at\":\"2023-12-07T01:16:10.790086\",\"folder\":null,\"id\":\"b0d18432-21ab-404b-acb6-57ef97353fad\",\"user_id\":\"d253bfba-6368-44dc-85f7-0d6da9e45968\"},{\"name\":\"Sick Joliot\",\"description\":\"Text Generation Meets Business Transformation.\",\"data\":{\"nodes\":[{\"width\":384,\"height\":442,\"id\":\"OpenAIEmbeddings-rVj1B\",\"type\":\"genericNode\",\"position\":{\"x\":-100.23754663035719,\"y\":-718.7575880388187},\"data\":{\"type\":\"OpenAIEmbeddings\",\"node\":{\"template\":{\"allowed_special\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"value\":[],\"password\":false,\"name\":\"allowed_special\",\"advanced\":true,\"dynamic\":false,\"info\":\"\",\"type\":\"str\",\"list\":true},\"async_client\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"password\":false,\"name\":\"async_client\",\"advanced\":true,\"dynamic\":false,\"info\":\"\",\"type\":\"Any\",\"list\":false},\"chunk_size\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"value\":1000,\"password\":false,\"name\":\"chunk_size\",\"advanced\":true,\"dynamic\":false,\"info\":\"\",\"type\":\"int\",\"list\":false},\"client\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"password\":false,\"name\":\"client\",\"advanced\":true,\"dynamic\":false,\"info\":\"\",\"type\":\"Any\",\"list\":false},\"default_headers\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"password\":false,\"name\":\"default_headers\",\"advanced\":true,\"dynamic\":false,\"info\":\"\",\"type\":\"dict\",\"list\":false},\"default_query\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"password\":false,\"name\":\"default_query\",\"advanced\":true,\"dynamic\":false,\"info\":\"\",\"type\":\"dict\",\"list\":false},\"deployment\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"value\":\"text-embedding-ada-002\",\"password\":false,\"name\":\"deployment\",\"advanced\":true,\"dynamic\":false,\"info\":\"\",\"type\":\"str\",\"list\":false},\"disallowed_special\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"value\":\"all\",\"password\":false,\"name\":\"disallowed_special\",\"advanced\":true,\"dynamic\":false,\"info\":\"\",\"type\":\"str\",\"list\":true},\"embedding_ctx_length\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"value\":8191,\"password\":false,\"name\":\"embedding_ctx_length\",\"advanced\":true,\"dynamic\":false,\"info\":\"\",\"type\":\"int\",\"list\":false},\"headers\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":true,\"value\":\"{\\\"Authorization\\\": \\\"Bearer \\\"}\",\"password\":false,\"name\":\"headers\",\"advanced\":true,\"dynamic\":false,\"info\":\"\",\"type\":\"Any\",\"list\":false},\"http_client\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"password\":false,\"name\":\"http_client\",\"advanced\":true,\"dynamic\":false,\"info\":\"\",\"type\":\"Any\",\"list\":false},\"max_retries\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"value\":2,\"password\":false,\"name\":\"max_retries\",\"advanced\":true,\"dynamic\":false,\"info\":\"\",\"type\":\"int\",\"list\":false},\"model\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"value\":\"text-embedding-ada-002\",\"password\":false,\"name\":\"model\",\"advanced\":true,\"dynamic\":false,\"info\":\"\",\"type\":\"str\",\"list\":false},\"model_kwargs\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"password\":false,\"name\":\"model_kwargs\",\"advanced\":true,\"dynamic\":false,\"info\":\"\",\"type\":\"dict\",\"list\":false},\"openai_api_base\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"password\":true,\"name\":\"openai_api_base\",\"display_name\":\"OpenAI API Base\",\"advanced\":true,\"dynamic\":false,\"info\":\"\",\"type\":\"str\",\"list\":false},\"openai_api_key\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"value\":\"\",\"password\":true,\"name\":\"openai_api_key\",\"display_name\":\"OpenAI API Key\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"str\",\"list\":false},\"openai_api_type\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"password\":true,\"name\":\"openai_api_type\",\"display_name\":\"OpenAI API Type\",\"advanced\":true,\"dynamic\":false,\"info\":\"\",\"type\":\"str\",\"list\":false},\"openai_api_version\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"password\":true,\"name\":\"openai_api_version\",\"display_name\":\"OpenAI API Version\",\"advanced\":true,\"dynamic\":false,\"info\":\"\",\"type\":\"str\",\"list\":false},\"openai_organization\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"password\":false,\"name\":\"openai_organization\",\"display_name\":\"OpenAI Organization\",\"advanced\":true,\"dynamic\":false,\"info\":\"\",\"type\":\"str\",\"list\":false},\"openai_proxy\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"password\":false,\"name\":\"openai_proxy\",\"display_name\":\"OpenAI Proxy\",\"advanced\":true,\"dynamic\":false,\"info\":\"\",\"type\":\"str\",\"list\":false},\"request_timeout\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"password\":false,\"name\":\"request_timeout\",\"advanced\":true,\"dynamic\":false,\"info\":\"\",\"type\":\"float\",\"list\":false},\"show_progress_bar\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"value\":false,\"password\":false,\"name\":\"show_progress_bar\",\"advanced\":true,\"dynamic\":false,\"info\":\"\",\"type\":\"bool\",\"list\":false},\"skip_empty\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"value\":false,\"password\":false,\"name\":\"skip_empty\",\"advanced\":true,\"dynamic\":false,\"info\":\"\",\"type\":\"bool\",\"list\":false},\"tiktoken_enabled\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"value\":true,\"password\":true,\"name\":\"tiktoken_enabled\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"bool\",\"list\":false},\"tiktoken_model_name\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"password\":true,\"name\":\"tiktoken_model_name\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"str\",\"list\":false},\"_type\":\"OpenAIEmbeddings\"},\"description\":\"OpenAI embedding models.\",\"base_classes\":[\"OpenAIEmbeddings\",\"Embeddings\"],\"display_name\":\"OpenAIEmbeddings\",\"custom_fields\":{},\"output_types\":[],\"documentation\":\"https://python.langchain.com/docs/modules/data_connection/text_embedding/integrations/openai\",\"beta\":false,\"error\":null},\"id\":\"OpenAIEmbeddings-rVj1B\"},\"selected\":true,\"dragging\":false,\"positionAbsolute\":{\"x\":-100.23754663035719,\"y\":-718.7575880388187}}],\"edges\":[],\"viewport\":{\"x\":267.7156633365312,\"y\":716.9644817529361,\"zoom\":0.7169776240079139}},\"is_component\":false,\"updated_at\":\"2023-12-08T18:52:26.999440\",\"folder\":null,\"id\":\"be39958a-ef42-4fa8-8e54-b611e56b5c97\",\"user_id\":\"d253bfba-6368-44dc-85f7-0d6da9e45968\"},{\"name\":\"Graceful Lumiere\",\"description\":\"Conversational Cartography Unlocked.\",\"data\":{\"nodes\":[],\"edges\":[],\"viewport\":{\"zoom\":1,\"x\":0,\"y\":0}},\"is_component\":false,\"updated_at\":\"2023-12-07T01:16:11.012069\",\"folder\":null,\"id\":\"f7dcecfd-533c-4f40-9dcb-f213962ed1a2\",\"user_id\":\"d253bfba-6368-44dc-85f7-0d6da9e45968\"},{\"name\":\"aaaaa\",\"description\":\"Text Generation Meets Business Transformation.\",\"data\":{\"nodes\":[{\"width\":384,\"height\":442,\"id\":\"OpenAIEmbeddings-P6Z0D\",\"type\":\"genericNode\",\"position\":{\"x\":-100.23754663035719,\"y\":-718.7575880388187},\"data\":{\"type\":\"OpenAIEmbeddings\",\"node\":{\"template\":{\"allowed_special\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"value\":[],\"password\":false,\"name\":\"allowed_special\",\"advanced\":true,\"dynamic\":false,\"info\":\"\",\"type\":\"str\",\"list\":true},\"async_client\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"password\":false,\"name\":\"async_client\",\"advanced\":true,\"dynamic\":false,\"info\":\"\",\"type\":\"Any\",\"list\":false},\"chunk_size\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"value\":1000,\"password\":false,\"name\":\"chunk_size\",\"advanced\":true,\"dynamic\":false,\"info\":\"\",\"type\":\"int\",\"list\":false},\"client\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"password\":false,\"name\":\"client\",\"advanced\":true,\"dynamic\":false,\"info\":\"\",\"type\":\"Any\",\"list\":false},\"default_headers\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"password\":false,\"name\":\"default_headers\",\"advanced\":true,\"dynamic\":false,\"info\":\"\",\"type\":\"dict\",\"list\":false},\"default_query\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"password\":false,\"name\":\"default_query\",\"advanced\":true,\"dynamic\":false,\"info\":\"\",\"type\":\"dict\",\"list\":false},\"deployment\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"value\":\"text-embedding-ada-002\",\"password\":false,\"name\":\"deployment\",\"advanced\":true,\"dynamic\":false,\"info\":\"\",\"type\":\"str\",\"list\":false},\"disallowed_special\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"value\":\"all\",\"password\":false,\"name\":\"disallowed_special\",\"advanced\":true,\"dynamic\":false,\"info\":\"\",\"type\":\"str\",\"list\":true},\"embedding_ctx_length\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"value\":8191,\"password\":false,\"name\":\"embedding_ctx_length\",\"advanced\":true,\"dynamic\":false,\"info\":\"\",\"type\":\"int\",\"list\":false},\"headers\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":true,\"value\":\"{\\\"Authorization\\\": \\\"Bearer \\\"}\",\"password\":false,\"name\":\"headers\",\"advanced\":true,\"dynamic\":false,\"info\":\"\",\"type\":\"Any\",\"list\":false},\"http_client\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"password\":false,\"name\":\"http_client\",\"advanced\":true,\"dynamic\":false,\"info\":\"\",\"type\":\"Any\",\"list\":false},\"max_retries\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"value\":2,\"password\":false,\"name\":\"max_retries\",\"advanced\":true,\"dynamic\":false,\"info\":\"\",\"type\":\"int\",\"list\":false},\"model\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"value\":\"text-embedding-ada-002\",\"password\":false,\"name\":\"model\",\"advanced\":true,\"dynamic\":false,\"info\":\"\",\"type\":\"str\",\"list\":false},\"model_kwargs\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"password\":false,\"name\":\"model_kwargs\",\"advanced\":true,\"dynamic\":false,\"info\":\"\",\"type\":\"dict\",\"list\":false},\"openai_api_base\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"password\":true,\"name\":\"openai_api_base\",\"display_name\":\"OpenAI API Base\",\"advanced\":true,\"dynamic\":false,\"info\":\"\",\"type\":\"str\",\"list\":false,\"value\":\"\"},\"openai_api_key\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"value\":\"\",\"password\":true,\"name\":\"openai_api_key\",\"display_name\":\"OpenAI API Key\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"str\",\"list\":false},\"openai_api_type\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"password\":true,\"name\":\"openai_api_type\",\"display_name\":\"OpenAI API Type\",\"advanced\":true,\"dynamic\":false,\"info\":\"\",\"type\":\"str\",\"list\":false,\"value\":\"\"},\"openai_api_version\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"password\":true,\"name\":\"openai_api_version\",\"display_name\":\"OpenAI API Version\",\"advanced\":true,\"dynamic\":false,\"info\":\"\",\"type\":\"str\",\"list\":false,\"value\":\"\"},\"openai_organization\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"password\":false,\"name\":\"openai_organization\",\"display_name\":\"OpenAI Organization\",\"advanced\":true,\"dynamic\":false,\"info\":\"\",\"type\":\"str\",\"list\":false},\"openai_proxy\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"password\":false,\"name\":\"openai_proxy\",\"display_name\":\"OpenAI Proxy\",\"advanced\":true,\"dynamic\":false,\"info\":\"\",\"type\":\"str\",\"list\":false},\"request_timeout\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"password\":false,\"name\":\"request_timeout\",\"advanced\":true,\"dynamic\":false,\"info\":\"\",\"type\":\"float\",\"list\":false},\"show_progress_bar\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"value\":false,\"password\":false,\"name\":\"show_progress_bar\",\"advanced\":true,\"dynamic\":false,\"info\":\"\",\"type\":\"bool\",\"list\":false},\"skip_empty\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"value\":false,\"password\":false,\"name\":\"skip_empty\",\"advanced\":true,\"dynamic\":false,\"info\":\"\",\"type\":\"bool\",\"list\":false},\"tiktoken_enabled\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"value\":true,\"password\":true,\"name\":\"tiktoken_enabled\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"bool\",\"list\":false},\"tiktoken_model_name\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"password\":true,\"name\":\"tiktoken_model_name\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"str\",\"list\":false,\"value\":\"\"},\"_type\":\"OpenAIEmbeddings\"},\"description\":\"OpenAI embedding models.\",\"base_classes\":[\"OpenAIEmbeddings\",\"Embeddings\"],\"display_name\":\"OpenAIEmbeddings\",\"custom_fields\":{},\"output_types\":[],\"documentation\":\"https://python.langchain.com/docs/modules/data_connection/text_embedding/integrations/openai\",\"beta\":false,\"error\":null},\"id\":\"OpenAIEmbeddings-P6Z0D\"},\"selected\":true,\"dragging\":false,\"positionAbsolute\":{\"x\":-100.23754663035719,\"y\":-718.7575880388187}}],\"edges\":[],\"viewport\":{\"x\":266.7156633365312,\"y\":657.9644817529361,\"zoom\":0.7169776240079139}},\"is_component\":false,\"updated_at\":\"2023-12-08T19:05:14.503144\",\"folder\":null,\"id\":\"c2411a20-57c6-44cc-a0d0-2c857453633d\",\"user_id\":\"d253bfba-6368-44dc-85f7-0d6da9e45968\"},{\"name\":\"Lively Aryabhata\",\"description\":\"Design, Develop, Dialogize.\",\"data\":{\"nodes\":[{\"width\":384,\"height\":459,\"id\":\"CustomComponent-Qhbd7\",\"type\":\"genericNode\",\"position\":{\"x\":-224.36198532285903,\"y\":-39.03047722134913},\"data\":{\"type\":\"CustomComponent\",\"node\":{\"template\":{\"code\":{\"dynamic\":true,\"required\":true,\"placeholder\":\"\",\"show\":true,\"multiline\":true,\"value\":\"from langflow import CustomComponent\\nfrom langflow.field_typing import Data\\nfrom openai import OpenAI\\n\\n\\nclass Component(CustomComponent):\\n display_name: str = \\\"OpenAI STT english translator\\\"\\n description: str = \\\"Transcript and translate any audio to english\\\"\\n documentation: str = \\\"http://docs.langflow.org/components/custom\\\"\\n\\n def build_config(self):\\n return {\\\"audio_path\\\":{\\\"display_name\\\":\\\"Audio path\\\",\\\"input_types\\\":[\\\"str\\\"]},\\\"openAI_key\\\":{\\\"display_name\\\":\\\"OpenAI key\\\",\\\"password\\\":True}}\\n\\n def build(self,audio_path:str,openAI_key:str) -> str:\\n client = OpenAI(api_key=openAI_key)\\n audio_file= open(audio_path, \\\"rb\\\")\\n transcript = client.audio.translations.create(\\n model=\\\"whisper-1\\\", \\n file=audio_file\\n )\\n self.status = transcript.text\\n return transcript.text\\n\",\"password\":false,\"name\":\"code\",\"advanced\":false,\"type\":\"code\",\"list\":false},\"_type\":\"CustomComponent\",\"audio_path\":{\"required\":true,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"password\":false,\"name\":\"audio_path\",\"display_name\":\"Audio path\",\"advanced\":false,\"input_types\":[\"str\"],\"dynamic\":false,\"info\":\"\",\"type\":\"str\",\"list\":false,\"value\":\"aaaaa\"},\"openAI_key\":{\"required\":true,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"password\":true,\"name\":\"openAI_key\",\"display_name\":\"OpenAI key\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"str\",\"list\":false,\"value\":\"\"}},\"description\":\"Transcript and translate any audio to english\",\"base_classes\":[\"str\"],\"display_name\":\"OpenAI STT english tra\",\"custom_fields\":{\"audio_path\":null,\"openAI_key\":null},\"output_types\":[\"str\"],\"documentation\":\"http://docs.langflow.org/components/custom\",\"beta\":true,\"error\":null,\"official\":false},\"id\":\"CustomComponent-Qhbd7\"},\"selected\":true,\"dragging\":false,\"positionAbsolute\":{\"x\":-224.36198532285903,\"y\":-39.03047722134913}}],\"edges\":[],\"viewport\":{\"x\":433.8372868055629,\"y\":250.9611989970935,\"zoom\":0.8467453123625275}},\"is_component\":false,\"updated_at\":\"2023-12-08T21:16:56.971879\",\"folder\":null,\"id\":\"122eee5d-9734-4e51-9da5-b39bead64a8d\",\"user_id\":\"d253bfba-6368-44dc-85f7-0d6da9e45968\"},{\"name\":\"Goofy Wing\",\"description\":\"Your Toolkit for Text Generation.\",\"data\":{\"nodes\":[],\"edges\":[],\"viewport\":{\"zoom\":1,\"x\":0,\"y\":0}},\"is_component\":false,\"updated_at\":\"2023-12-08T21:18:23.227017\",\"folder\":null,\"id\":\"171d0063-6446-4c6a-8f5b-786a38951d44\",\"user_id\":\"d253bfba-6368-44dc-85f7-0d6da9e45968\"},{\"name\":\"Mad Boyd\",\"description\":\"Empowering Language Engineering.\",\"data\":{\"nodes\":[],\"edges\":[],\"viewport\":{\"zoom\":1,\"x\":0,\"y\":0}},\"is_component\":false,\"updated_at\":\"2023-12-08T21:18:24.063781\",\"folder\":null,\"id\":\"3a7af50c-6555-4004-a86e-1ea37e477900\",\"user_id\":\"d253bfba-6368-44dc-85f7-0d6da9e45968\"},{\"name\":\"Boring Dewey\",\"description\":\"Unleashing Linguistic Creativity.\",\"data\":{\"nodes\":[],\"edges\":[],\"viewport\":{\"zoom\":1,\"x\":0,\"y\":0}},\"is_component\":false,\"updated_at\":\"2023-12-08T21:18:24.065404\",\"folder\":null,\"id\":\"dc4b4235-a550-41e2-9ddb-bcb352a1bc03\",\"user_id\":\"d253bfba-6368-44dc-85f7-0d6da9e45968\"},{\"name\":\"Nauseous Carroll\",\"description\":\"Navigate the Networks of Conversation.\",\"data\":{\"nodes\":[],\"edges\":[],\"viewport\":{\"zoom\":1,\"x\":0,\"y\":0}},\"is_component\":false,\"updated_at\":\"2023-12-08T21:18:24.087501\",\"folder\":null,\"id\":\"9550e2bf-db7a-41f5-84e5-177a181bbeda\",\"user_id\":\"d253bfba-6368-44dc-85f7-0d6da9e45968\"},{\"name\":\"Silly Engelbart\",\"description\":\"Generate, Innovate, Communicate.\",\"data\":{\"nodes\":[],\"edges\":[],\"viewport\":{\"zoom\":1,\"x\":0,\"y\":0}},\"is_component\":false,\"updated_at\":\"2023-12-08T21:18:24.112543\",\"folder\":null,\"id\":\"6a3a24bb-01cb-4d8e-8d17-0dc92d257322\",\"user_id\":\"d253bfba-6368-44dc-85f7-0d6da9e45968\"},{\"name\":\"Sassy Khayyam\",\"description\":\"Innovation in Interaction, Revolution in Revenue.\",\"data\":{\"nodes\":[],\"edges\":[],\"viewport\":{\"zoom\":1,\"x\":0,\"y\":0}},\"is_component\":false,\"updated_at\":\"2023-12-08T21:18:24.147631\",\"folder\":null,\"id\":\"8d372f5e-ca12-4ea8-a1a1-8846afa72692\",\"user_id\":\"d253bfba-6368-44dc-85f7-0d6da9e45968\"},{\"name\":\"Mirthful Bell\",\"description\":\"Connect the Dots, Craft Language.\",\"data\":{\"nodes\":[],\"edges\":[],\"viewport\":{\"zoom\":1,\"x\":0,\"y\":0}},\"is_component\":false,\"updated_at\":\"2023-12-08T21:18:24.212921\",\"folder\":null,\"id\":\"800f8785-0f41-4db3-aef8-9e3de5250526\",\"user_id\":\"d253bfba-6368-44dc-85f7-0d6da9e45968\"},{\"name\":\"Sleepy Bassi\",\"description\":\"Unleashing Business Potential through Language Engineering.\",\"data\":{\"nodes\":[],\"edges\":[],\"viewport\":{\"zoom\":1,\"x\":0,\"y\":0}},\"is_component\":false,\"updated_at\":\"2023-12-08T21:18:24.395729\",\"folder\":null,\"id\":\"4589607a-065b-4a8f-ba52-5045d7b04086\",\"user_id\":\"d253bfba-6368-44dc-85f7-0d6da9e45968\"},{\"name\":\"Lonely Volhard\",\"description\":\"Where Language Meets Logic.\",\"data\":{\"nodes\":[],\"edges\":[],\"viewport\":{\"zoom\":1,\"x\":0,\"y\":0}},\"is_component\":false,\"updated_at\":\"2023-12-08T21:20:33.263971\",\"folder\":null,\"id\":\"b2440ed8-44fa-4684-adf7-b5e84bff6577\",\"user_id\":\"d253bfba-6368-44dc-85f7-0d6da9e45968\"},{\"name\":\"Ecstatic Poincare\",\"description\":\"Your Passport to Linguistic Landscapes.\",\"data\":{\"nodes\":[],\"edges\":[],\"viewport\":{\"zoom\":1,\"x\":0,\"y\":0}},\"is_component\":false,\"updated_at\":\"2023-12-08T21:20:33.377270\",\"folder\":null,\"id\":\"b996f514-e0b8-432f-969b-7276630a8f4b\",\"user_id\":\"d253bfba-6368-44dc-85f7-0d6da9e45968\"},{\"name\":\"Grave Zuse\",\"description\":\"Text Generation Meets Business Transformation.\",\"data\":{\"nodes\":[],\"edges\":[],\"viewport\":{\"zoom\":1,\"x\":0,\"y\":0}},\"is_component\":false,\"updated_at\":\"2023-12-08T21:20:33.406385\",\"folder\":null,\"id\":\"6e2e9c12-0afc-499e-acdd-adf4b5f7d4fc\",\"user_id\":\"d253bfba-6368-44dc-85f7-0d6da9e45968\"},{\"name\":\"Big Hopper\",\"description\":\"Conversation Catalyst Engine.\",\"data\":{\"nodes\":[],\"edges\":[],\"viewport\":{\"zoom\":1,\"x\":0,\"y\":0}},\"is_component\":false,\"updated_at\":\"2023-12-08T21:20:33.413014\",\"folder\":null,\"id\":\"e020f1a5-aa12-45e7-ba50-6eb64a735e60\",\"user_id\":\"d253bfba-6368-44dc-85f7-0d6da9e45968\"},{\"name\":\"Gleeful Jang\",\"description\":\"Conversation Catalyst Engine.\",\"data\":{\"nodes\":[],\"edges\":[],\"viewport\":{\"zoom\":1,\"x\":0,\"y\":0}},\"is_component\":false,\"updated_at\":\"2023-12-08T21:20:33.433045\",\"folder\":null,\"id\":\"ee58f892-b7b2-408e-b4b9-9d862fc315aa\",\"user_id\":\"d253bfba-6368-44dc-85f7-0d6da9e45968\"},{\"name\":\"Twinkly Ohm\",\"description\":\"Promptly Ingenious!\",\"data\":{\"nodes\":[],\"edges\":[],\"viewport\":{\"zoom\":1,\"x\":0,\"y\":0}},\"is_component\":false,\"updated_at\":\"2023-12-08T21:20:33.403404\",\"folder\":null,\"id\":\"023a1fc3-8807-4167-b6b2-f4e5daf036f1\",\"user_id\":\"d253bfba-6368-44dc-85f7-0d6da9e45968\"},{\"name\":\"Distracted Degrasse\",\"description\":\"Bridging Prompts for Brilliance.\",\"data\":{\"nodes\":[],\"edges\":[],\"viewport\":{\"zoom\":1,\"x\":0,\"y\":0}},\"is_component\":false,\"updated_at\":\"2023-12-08T21:20:33.411655\",\"folder\":null,\"id\":\"085f106f-c1e9-4a0f-ba31-d2fafe685d9c\",\"user_id\":\"d253bfba-6368-44dc-85f7-0d6da9e45968\"},{\"name\":\"Exuberant Volta\",\"description\":\"Catalyzing Business Growth through Conversational AI.\",\"data\":{\"nodes\":[],\"edges\":[],\"viewport\":{\"zoom\":1,\"x\":0,\"y\":0}},\"is_component\":false,\"updated_at\":\"2023-12-08T21:20:33.408697\",\"folder\":null,\"id\":\"14481bb5-1353-452f-9359-d38c9419d79c\",\"user_id\":\"d253bfba-6368-44dc-85f7-0d6da9e45968\"},{\"name\":\"Goofy Bose\",\"description\":\"Conversational Cartography Unlocked.\",\"data\":{\"nodes\":[],\"edges\":[],\"viewport\":{\"zoom\":1,\"x\":0,\"y\":0}},\"is_component\":false,\"updated_at\":\"2023-12-08T21:22:21.774940\",\"folder\":null,\"id\":\"e9316292-4ee1-441b-8327-0b09a7831fe9\",\"user_id\":\"d253bfba-6368-44dc-85f7-0d6da9e45968\"},{\"name\":\"Thirsty Easley\",\"description\":\"Language Models, Mapped and Mastered.\",\"data\":{\"nodes\":[],\"edges\":[],\"viewport\":{\"zoom\":1,\"x\":0,\"y\":0}},\"is_component\":false,\"updated_at\":\"2023-12-08T21:22:22.416556\",\"folder\":null,\"id\":\"668806ba-3efa-44de-aeb7-4ac082ba9172\",\"user_id\":\"d253bfba-6368-44dc-85f7-0d6da9e45968\"},{\"name\":\"Joyous Mestorf\",\"description\":\"Generate, Innovate, Communicate.\",\"data\":{\"nodes\":[],\"edges\":[],\"viewport\":{\"zoom\":1,\"x\":0,\"y\":0}},\"is_component\":false,\"updated_at\":\"2023-12-08T21:22:22.484048\",\"folder\":null,\"id\":\"3fc0a371-aada-4450-9d17-33d3cc05c870\",\"user_id\":\"d253bfba-6368-44dc-85f7-0d6da9e45968\"},{\"name\":\"Playful Franklin\",\"description\":\"Empowering Language Engineering.\",\"data\":{\"nodes\":[],\"edges\":[],\"viewport\":{\"zoom\":1,\"x\":0,\"y\":0}},\"is_component\":false,\"updated_at\":\"2023-12-08T21:22:22.509095\",\"folder\":null,\"id\":\"af967c98-5f08-4ee2-b1ce-6c16b4f9ebe2\",\"user_id\":\"d253bfba-6368-44dc-85f7-0d6da9e45968\"},{\"name\":\"Goofy Bhaskara\",\"description\":\"Empowering Enterprises with Intelligent Interactions.\",\"data\":{\"nodes\":[],\"edges\":[],\"viewport\":{\"zoom\":1,\"x\":0,\"y\":0}},\"is_component\":false,\"updated_at\":\"2023-12-08T21:22:22.508465\",\"folder\":null,\"id\":\"758c4164-b521-45d0-a15f-d49480e312eb\",\"user_id\":\"d253bfba-6368-44dc-85f7-0d6da9e45968\"},{\"name\":\"Funky Edison\",\"description\":\"Unravel the Art of Articulation.\",\"data\":{\"nodes\":[],\"edges\":[],\"viewport\":{\"zoom\":1,\"x\":0,\"y\":0}},\"is_component\":false,\"updated_at\":\"2023-12-08T21:22:22.602296\",\"folder\":null,\"id\":\"f9d3d30f-8859-433f-bafc-ccf1a7196e35\",\"user_id\":\"d253bfba-6368-44dc-85f7-0d6da9e45968\"},{\"name\":\"Silly Ride\",\"description\":\"Unfolding Linguistic Possibilities.\",\"data\":{\"nodes\":[],\"edges\":[],\"viewport\":{\"zoom\":1,\"x\":0,\"y\":0}},\"is_component\":false,\"updated_at\":\"2023-12-08T21:22:22.604061\",\"folder\":null,\"id\":\"0142bca5-eb61-42ed-9917-70c4c0f54eb0\",\"user_id\":\"d253bfba-6368-44dc-85f7-0d6da9e45968\"},{\"name\":\"Goofy Noyce\",\"description\":\"Text Generation Meets Business Transformation.\",\"data\":{\"nodes\":[],\"edges\":[],\"viewport\":{\"zoom\":1,\"x\":0,\"y\":0}},\"is_component\":false,\"updated_at\":\"2023-12-08T21:22:22.603113\",\"folder\":null,\"id\":\"0b63d036-4669-4ceb-8ea4-34035340df77\",\"user_id\":\"d253bfba-6368-44dc-85f7-0d6da9e45968\"},{\"name\":\"Cocky Bhabha\",\"description\":\"Language Engineering Excellence.\",\"data\":{\"nodes\":[],\"edges\":[],\"viewport\":{\"zoom\":1,\"x\":0,\"y\":0}},\"is_component\":false,\"updated_at\":\"2023-12-08T21:23:07.345767\",\"folder\":null,\"id\":\"8b9a66d4-a924-4b84-a2b5-5dd0645ac07a\",\"user_id\":\"d253bfba-6368-44dc-85f7-0d6da9e45968\"},{\"name\":\"Thirsty Zobell\",\"description\":\"Unleashing Business Potential through Language Engineering.\",\"data\":{\"nodes\":[],\"edges\":[],\"viewport\":{\"zoom\":1,\"x\":0,\"y\":0}},\"is_component\":false,\"updated_at\":\"2023-12-08T21:23:07.722319\",\"folder\":null,\"id\":\"c912fd6b-b32d-409f-a0e5-c6249b066429\",\"user_id\":\"d253bfba-6368-44dc-85f7-0d6da9e45968\"},{\"name\":\"Fervent Shaw\",\"description\":\"Language Architect at Work!\",\"data\":{\"nodes\":[],\"edges\":[],\"viewport\":{\"zoom\":1,\"x\":0,\"y\":0}},\"is_component\":false,\"updated_at\":\"2023-12-08T21:23:07.750779\",\"folder\":null,\"id\":\"9d755cd4-c652-43e0-a68d-75a5475ce7a3\",\"user_id\":\"d253bfba-6368-44dc-85f7-0d6da9e45968\"},{\"name\":\"Giggly Newton\",\"description\":\"Navigate the Linguistic Landscape, Discover Opportunities.\",\"data\":{\"nodes\":[],\"edges\":[],\"viewport\":{\"zoom\":1,\"x\":0,\"y\":0}},\"is_component\":false,\"updated_at\":\"2023-12-08T21:23:07.786602\",\"folder\":null,\"id\":\"0d3af7de-1ada-4c43-a69f-1bfad370ccfc\",\"user_id\":\"d253bfba-6368-44dc-85f7-0d6da9e45968\"},{\"name\":\"Modest Yalow\",\"description\":\"Text Generation Meets Business Transformation.\",\"data\":{\"nodes\":[],\"edges\":[],\"viewport\":{\"zoom\":1,\"x\":0,\"y\":0}},\"is_component\":false,\"updated_at\":\"2023-12-08T21:23:07.792245\",\"folder\":null,\"id\":\"b6444376-4162-436b-8b40-f5a6afc850db\",\"user_id\":\"d253bfba-6368-44dc-85f7-0d6da9e45968\"},{\"name\":\"Sad Bhabha\",\"description\":\"Empowering Enterprises with Intelligent Interactions.\",\"data\":{\"nodes\":[],\"edges\":[],\"viewport\":{\"zoom\":1,\"x\":0,\"y\":0}},\"is_component\":false,\"updated_at\":\"2023-12-08T21:23:07.890349\",\"folder\":null,\"id\":\"d90af439-fb34-4d27-98f2-06f7f9a9ed8c\",\"user_id\":\"d253bfba-6368-44dc-85f7-0d6da9e45968\"},{\"name\":\"Spirited Hoover\",\"description\":\"The Pinnacle of Prompt Generation.\",\"data\":{\"nodes\":[],\"edges\":[],\"viewport\":{\"zoom\":1,\"x\":0,\"y\":0}},\"is_component\":false,\"updated_at\":\"2023-12-08T21:23:07.905750\",\"folder\":null,\"id\":\"31597ce2-de3c-490b-9ead-3f702f63cfd9\",\"user_id\":\"d253bfba-6368-44dc-85f7-0d6da9e45968\"},{\"name\":\"Trusting Davinci\",\"description\":\"Design, Develop, Dialogize.\",\"data\":{\"nodes\":[],\"edges\":[],\"viewport\":{\"zoom\":1,\"x\":0,\"y\":0}},\"is_component\":false,\"updated_at\":\"2023-12-08T21:23:08.001400\",\"folder\":null,\"id\":\"b43c63e9-a257-4a53-8acc-049e13706ac2\",\"user_id\":\"d253bfba-6368-44dc-85f7-0d6da9e45968\"},{\"name\":\"23\",\"description\":\"23\",\"data\":{\"nodes\":[{\"width\":384,\"height\":467,\"id\":\"PromptTemplate-K7xiS\",\"type\":\"genericNode\",\"position\":{\"x\":-658.2250903773149,\"y\":809.352046606987},\"data\":{\"type\":\"PromptTemplate\",\"node\":{\"template\":{\"output_parser\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"password\":false,\"name\":\"output_parser\",\"advanced\":false,\"dynamic\":true,\"info\":\"\",\"type\":\"BaseOutputParser\",\"list\":false},\"input_types\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"password\":false,\"name\":\"input_types\",\"advanced\":false,\"dynamic\":true,\"info\":\"\",\"type\":\"dict\",\"list\":false},\"input_variables\":{\"required\":true,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"password\":false,\"name\":\"input_variables\",\"advanced\":false,\"dynamic\":true,\"info\":\"\",\"type\":\"str\",\"list\":true,\"value\":[\"dasdas\",\"dasdasd\"]},\"partial_variables\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"password\":false,\"name\":\"partial_variables\",\"advanced\":false,\"dynamic\":true,\"info\":\"\",\"type\":\"dict\",\"list\":false},\"template\":{\"required\":true,\"placeholder\":\"\",\"show\":true,\"multiline\":true,\"password\":false,\"name\":\"template\",\"advanced\":false,\"dynamic\":true,\"info\":\"\",\"type\":\"prompt\",\"list\":false,\"value\":\"{dasdas}\\n{dasdasd}\\n\"},\"template_format\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"value\":\"f-string\",\"password\":false,\"name\":\"template_format\",\"advanced\":false,\"dynamic\":true,\"info\":\"\",\"type\":\"str\",\"list\":false},\"validate_template\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"value\":false,\"password\":false,\"name\":\"validate_template\",\"advanced\":false,\"dynamic\":true,\"info\":\"\",\"type\":\"bool\",\"list\":false},\"_type\":\"PromptTemplate\",\"dasdas\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":true,\"value\":\"\",\"password\":false,\"name\":\"dasdas\",\"display_name\":\"dasdas\",\"advanced\":false,\"input_types\":[\"Document\",\"BaseOutputParser\"],\"dynamic\":false,\"info\":\"\",\"type\":\"str\",\"list\":false},\"dasdasd\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":true,\"value\":\"\",\"password\":false,\"name\":\"dasdasd\",\"display_name\":\"dasdasd\",\"advanced\":false,\"input_types\":[\"Document\",\"BaseOutputParser\"],\"dynamic\":false,\"info\":\"\",\"type\":\"str\",\"list\":false}},\"description\":\"A prompt template for a language model.\",\"base_classes\":[\"PromptTemplate\",\"BasePromptTemplate\",\"StringPromptTemplate\"],\"name\":\"\",\"display_name\":\"PromptTemplate\",\"documentation\":\"https://python.langchain.com/docs/modules/model_io/prompts/prompt_templates/\",\"custom_fields\":{\"\":[\"dasdas\",\"dasdasd\"]},\"output_types\":[],\"full_path\":null,\"field_formatters\":{},\"beta\":false,\"error\":null},\"id\":\"PromptTemplate-K7xiS\"},\"selected\":false,\"positionAbsolute\":{\"x\":-658.2250903773149,\"y\":809.352046606987},\"dragging\":false},{\"width\":384,\"height\":366,\"id\":\"AirbyteJSONLoader-DXfcM\",\"type\":\"genericNode\",\"position\":{\"x\":-1110.8267574563533,\"y\":569.1107380883907},\"data\":{\"type\":\"AirbyteJSONLoader\",\"node\":{\"template\":{\"file_path\":{\"required\":true,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"value\":\"\",\"suffixes\":[\".json\"],\"password\":false,\"name\":\"file_path\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"file\",\"list\":false,\"fileTypes\":[\"json\"],\"file_path\":null},\"metadata\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"value\":[{\"\":\"\"}],\"password\":false,\"name\":\"metadata\",\"display_name\":\"Metadata\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"dict\",\"list\":false},\"_type\":\"AirbyteJSONLoader\"},\"description\":\"Load local `Airbyte` json files.\",\"base_classes\":[\"Document\"],\"display_name\":\"AirbyteJSONLoader\",\"custom_fields\":{},\"output_types\":[\"Document\"],\"documentation\":\"https://python.langchain.com/docs/modules/data_connection/document_loaders/integrations/airbyte_json\",\"beta\":false,\"error\":null,\"official\":false},\"id\":\"AirbyteJSONLoader-DXfcM\"},\"selected\":false,\"positionAbsolute\":{\"x\":-1110.8267574563533,\"y\":569.1107380883907},\"dragging\":false},{\"width\":384,\"height\":376,\"id\":\"PromptRunner-ckWMH\",\"type\":\"genericNode\",\"position\":{\"x\":-1149.4746387825978,\"y\":992.3970573758324},\"data\":{\"type\":\"PromptRunner\",\"node\":{\"template\":{\"code\":{\"dynamic\":true,\"required\":true,\"placeholder\":\"\",\"show\":false,\"multiline\":true,\"value\":\"from langflow import CustomComponent\\n\\nfrom langchain.llms.base import BaseLLM\\nfrom langchain.prompts import PromptTemplate\\nfrom langchain.schema import Document\\n\\n\\nclass PromptRunner(CustomComponent):\\n display_name: str = \\\"Prompt Runner\\\"\\n description: str = \\\"Run a Chain with the given PromptTemplate\\\"\\n beta: bool = True\\n field_config = {\\n \\\"llm\\\": {\\\"display_name\\\": \\\"LLM\\\"},\\n \\\"prompt\\\": {\\n \\\"display_name\\\": \\\"Prompt Template\\\",\\n \\\"info\\\": \\\"Make sure the prompt has all variables filled.\\\",\\n },\\n \\\"code\\\": {\\\"show\\\": False},\\n }\\n\\n def build(self, llm: BaseLLM, prompt: PromptTemplate, inputs: dict = {}) -> Document:\\n chain = prompt | llm\\n # The input is an empty dict because the prompt is already filled\\n result = chain.invoke(input=inputs)\\n if hasattr(result, \\\"content\\\"):\\n result = result.content\\n self.repr_value = result\\n return Document(page_content=str(result))\\n\",\"password\":false,\"name\":\"code\",\"advanced\":false,\"type\":\"code\",\"list\":false},\"_type\":\"CustomComponent\",\"inputs\":{\"required\":true,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"value\":[{\"\":\"\"}],\"password\":false,\"name\":\"inputs\",\"display_name\":\"inputs\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"dict\",\"list\":false},\"llm\":{\"required\":true,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"password\":false,\"name\":\"llm\",\"display_name\":\"LLM\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"BaseLLM\",\"list\":false},\"prompt\":{\"required\":true,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"password\":false,\"name\":\"prompt\",\"display_name\":\"Prompt Template\",\"advanced\":false,\"dynamic\":false,\"info\":\"Make sure the prompt has all variables filled.\",\"type\":\"PromptTemplate\",\"list\":false}},\"description\":\"Run a Chain with the given PromptTemplate\",\"base_classes\":[\"Document\"],\"display_name\":\"Prompt Runner\",\"custom_fields\":{\"inputs\":null,\"llm\":null,\"prompt\":null},\"output_types\":[\"PromptRunner\"],\"documentation\":\"\",\"beta\":true,\"error\":null},\"id\":\"PromptRunner-ckWMH\"},\"selected\":false,\"positionAbsolute\":{\"x\":-1149.4746387825978,\"y\":992.3970573758324},\"dragging\":false}],\"edges\":[{\"source\":\"PromptRunner-ckWMH\",\"sourceHandle\":\"{œbaseClassesœ:[œDocumentœ],œdataTypeœ:œPromptRunnerœ,œidœ:œPromptRunner-ckWMHœ}\",\"target\":\"PromptTemplate-K7xiS\",\"targetHandle\":\"{œfieldNameœ:œdasdasdœ,œidœ:œPromptTemplate-K7xiSœ,œinputTypesœ:[œDocumentœ,œBaseOutputParserœ],œtypeœ:œstrœ}\",\"data\":{\"targetHandle\":{\"fieldName\":\"dasdasd\",\"id\":\"PromptTemplate-K7xiS\",\"inputTypes\":[\"Document\",\"BaseOutputParser\"],\"type\":\"str\"},\"sourceHandle\":{\"baseClasses\":[\"Document\"],\"dataType\":\"PromptRunner\",\"id\":\"PromptRunner-ckWMH\"}},\"style\":{\"stroke\":\"#555\"},\"className\":\"stroke-gray-900 stroke-connection\",\"animated\":false,\"id\":\"reactflow__edge-PromptRunner-ckWMH{œbaseClassesœ:[œDocumentœ],œdataTypeœ:œPromptRunnerœ,œidœ:œPromptRunner-ckWMHœ}-PromptTemplate-K7xiS{œfieldNameœ:œdasdasdœ,œidœ:œPromptTemplate-K7xiSœ,œinputTypesœ:[œDocumentœ,œBaseOutputParserœ],œtypeœ:œstrœ}\"},{\"source\":\"AirbyteJSONLoader-DXfcM\",\"sourceHandle\":\"{œbaseClassesœ:[œDocumentœ],œdataTypeœ:œAirbyteJSONLoaderœ,œidœ:œAirbyteJSONLoader-DXfcMœ}\",\"target\":\"PromptTemplate-K7xiS\",\"targetHandle\":\"{œfieldNameœ:œdasdasœ,œidœ:œPromptTemplate-K7xiSœ,œinputTypesœ:[œDocumentœ,œBaseOutputParserœ],œtypeœ:œstrœ}\",\"data\":{\"targetHandle\":{\"fieldName\":\"dasdas\",\"id\":\"PromptTemplate-K7xiS\",\"inputTypes\":[\"Document\",\"BaseOutputParser\"],\"type\":\"str\"},\"sourceHandle\":{\"baseClasses\":[\"Document\"],\"dataType\":\"AirbyteJSONLoader\",\"id\":\"AirbyteJSONLoader-DXfcM\"}},\"style\":{\"stroke\":\"#555\"},\"className\":\"stroke-gray-900 stroke-connection\",\"animated\":false,\"id\":\"reactflow__edge-AirbyteJSONLoader-DXfcM{œbaseClassesœ:[œDocumentœ],œdataTypeœ:œAirbyteJSONLoaderœ,œidœ:œAirbyteJSONLoader-DXfcMœ}-PromptTemplate-K7xiS{œfieldNameœ:œdasdasœ,œidœ:œPromptTemplate-K7xiSœ,œinputTypesœ:[œDocumentœ,œBaseOutputParserœ],œtypeœ:œstrœ}\"}],\"viewport\":{\"x\":721.09842496776,\"y\":-303.59762799439625,\"zoom\":0.6417129487814537}},\"is_component\":false,\"updated_at\":\"2023-12-08T22:52:14.560323\",\"folder\":null,\"id\":\"8533c46e-21fd-4b92-b68e-1086ea86c72d\",\"user_id\":\"d253bfba-6368-44dc-85f7-0d6da9e45968\"},{\"name\":\"Twinkly Stonebraker\",\"description\":\"Navigate the Linguistic Landscape, Discover Opportunities.\",\"data\":{\"nodes\":[],\"edges\":[],\"viewport\":{\"zoom\":1,\"x\":0,\"y\":0}},\"is_component\":false,\"updated_at\":\"2023-12-09T13:26:42.332360\",\"folder\":null,\"id\":\"92bc0875-4a73-44f2-9410-3b8342e404bf\",\"user_id\":\"d253bfba-6368-44dc-85f7-0d6da9e45968\"},{\"name\":\"Metaphor Search (1)\",\"description\":\"Search in Metaphor with a custom string.\",\"data\":{\"edges\":[],\"nodes\":[{\"data\":{\"type\":\"CustomComponent\",\"node\":{\"template\":{\"code\":{\"dynamic\":true,\"required\":true,\"placeholder\":\"\",\"show\":true,\"multiline\":true,\"value\":\"from langflow import CustomComponent\\nfrom typing import List, Union\\nfrom langchain.llms.base import BaseLLM\\nfrom langchain.chains import LLMChain\\nfrom langchain import PromptTemplate\\nfrom langchain.schema import Document\\nfrom metaphor_python import Metaphor\\nimport json\\n\\nfrom typing import List\\nfrom langflow.field_typing import Data\\n\\nclass MetaphorSearch(CustomComponent):\\n display_name: str = \\\"Metaphor Search\\\"\\n description: str = \\\"Search in Metaphor with a custom string.\\\"\\n beta = True\\n \\n def build_config(self):\\n return {\\n \\\"metaphor_client\\\": {\\\"display_name\\\": \\\"Metaphor Wrapper\\\"}, \\n \\\"search_num_results\\\": {\\\"display_name\\\": \\\"Number of Results (per domain)\\\"},\\n \\\"include_domains\\\": {\\\"display_name\\\": \\\"Include Domains\\\", \\\"is_list\\\": True},\\n \\\"start_date\\\": {\\\"display_name\\\": \\\"Start Date\\\"},\\n \\\"use_autoprompt\\\": {\\\"display_name\\\": \\\"Use Autoprompt\\\", \\\"type\\\": \\\"boolean\\\"},\\n \\\"search_type\\\": {\\\"display_name\\\": \\\"Search Type\\\", \\\"options\\\": [\\\"neural\\\", \\\"keyword\\\"]},\\n \\\"start_date\\\": {\\\"input_types\\\": [\\\"Data\\\"]}\\n }\\n\\n def build(\\n self,\\n methaphor_client: Data,\\n query: str,\\n search_type: str='keyword',\\n search_num_results: int = 5,\\n include_domains: List[str]= [\\\"youtube.com\\\"],\\n use_autoprompt: bool = False,\\n start_date: str=\\\"2023-01-01\\\",\\n \\n ) -> Data:\\n \\n results = []\\n for domain in include_domains:\\n response = methaphor_client.search(\\n query,\\n num_results=int(search_num_results),\\n include_domains=[domain],\\n use_autoprompt=use_autoprompt,\\n type=search_type,\\n # start_crawl_date=start_date,\\n start_published_date=start_date\\n )\\n results.extend(response.results)\\n \\n self.repr_value = results\\n\\n return results\\n\\n\",\"password\":false,\"name\":\"code\",\"advanced\":false,\"type\":\"code\",\"list\":false},\"_type\":\"CustomComponent\",\"include_domains\":{\"required\":true,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"value\":[\"yout\"],\"password\":false,\"name\":\"include_domains\",\"display_name\":\"Include Domains\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"str\",\"list\":true},\"methaphor_client\":{\"required\":true,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"password\":false,\"name\":\"methaphor_client\",\"display_name\":\"methaphor_client\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"Data\",\"list\":false},\"query\":{\"required\":true,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"password\":false,\"name\":\"query\",\"display_name\":\"query\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"str\",\"list\":false,\"value\":\"pasteldasdasdas\"},\"search_num_results\":{\"required\":true,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"value\":5,\"password\":false,\"name\":\"search_num_results\",\"display_name\":\"Number of Results (per domain)\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"int\",\"list\":false},\"search_type\":{\"required\":true,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"value\":\"keyword\",\"password\":false,\"options\":[\"neural\",\"keyword\"],\"name\":\"search_type\",\"display_name\":\"Search Type\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"str\",\"list\":true},\"start_date\":{\"required\":true,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"value\":\"\",\"password\":false,\"name\":\"start_date\",\"display_name\":\"start_date\",\"advanced\":false,\"input_types\":[\"Data\"],\"dynamic\":false,\"info\":\"\",\"type\":\"str\",\"list\":false},\"use_autoprompt\":{\"required\":true,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"value\":false,\"password\":false,\"name\":\"use_autoprompt\",\"display_name\":\"Use Autoprompt\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"bool\",\"list\":false}},\"description\":\"Search in Metaphor with a custom string.\",\"base_classes\":[\"Data\"],\"display_name\":\"Metaphor Search\",\"custom_fields\":{\"include_domains\":null,\"methaphor_client\":null,\"query\":null,\"search_num_results\":null,\"search_type\":null,\"start_date\":null,\"use_autoprompt\":null},\"output_types\":[\"Data\"],\"documentation\":\"\",\"beta\":true,\"error\":null,\"official\":false},\"id\":\"CustomComponent-dMB5d\"},\"id\":\"CustomComponent-dMB5d\",\"position\":{\"x\":0,\"y\":0},\"type\":\"genericNode\"}],\"viewport\":{\"x\":1,\"y\":1,\"zoom\":1}},\"is_component\":true,\"updated_at\":\"2023-12-09T13:26:43.668665\",\"folder\":null,\"id\":\"912265df-9b87-4b30-a585-1ca59b944391\",\"user_id\":\"d253bfba-6368-44dc-85f7-0d6da9e45968\"},{\"name\":\"Metaphor Search (2)\",\"description\":\"Search in Metaphor with a custom string.\",\"data\":{\"edges\":[],\"nodes\":[{\"data\":{\"type\":\"CustomComponent\",\"node\":{\"template\":{\"code\":{\"dynamic\":true,\"required\":true,\"placeholder\":\"\",\"show\":true,\"multiline\":true,\"value\":\"from langflow import CustomComponent\\nfrom typing import List, Union\\nfrom langchain.llms.base import BaseLLM\\nfrom langchain.chains import LLMChain\\nfrom langchain import PromptTemplate\\nfrom langchain.schema import Document\\nfrom metaphor_python import Metaphor\\nimport json\\n\\nfrom typing import List\\nfrom langflow.field_typing import Data\\n\\nclass MetaphorSearch(CustomComponent):\\n display_name: str = \\\"Metaphor Search\\\"\\n description: str = \\\"Search in Metaphor with a custom string.\\\"\\n beta = True\\n \\n def build_config(self):\\n return {\\n \\\"metaphor_client\\\": {\\\"display_name\\\": \\\"Metaphor Wrapper\\\"}, \\n \\\"search_num_results\\\": {\\\"display_name\\\": \\\"Number of Results (per domain)\\\"},\\n \\\"include_domains\\\": {\\\"display_name\\\": \\\"Include Domains\\\", \\\"is_list\\\": True},\\n \\\"start_date\\\": {\\\"display_name\\\": \\\"Start Date\\\"},\\n \\\"use_autoprompt\\\": {\\\"display_name\\\": \\\"Use Autoprompt\\\", \\\"type\\\": \\\"boolean\\\"},\\n \\\"search_type\\\": {\\\"display_name\\\": \\\"Search Type\\\", \\\"options\\\": [\\\"neural\\\", \\\"keyword\\\"]},\\n \\\"start_date\\\": {\\\"input_types\\\": [\\\"Data\\\"]}\\n }\\n\\n def build(\\n self,\\n methaphor_client: Data,\\n query: str,\\n search_type: str='keyword',\\n search_num_results: int = 5,\\n include_domains: List[str]= [\\\"youtube.com\\\"],\\n use_autoprompt: bool = False,\\n start_date: str=\\\"2023-01-01\\\",\\n \\n ) -> Data:\\n \\n results = []\\n for domain in include_domains:\\n response = methaphor_client.search(\\n query,\\n num_results=int(search_num_results),\\n include_domains=[domain],\\n use_autoprompt=use_autoprompt,\\n type=search_type,\\n # start_crawl_date=start_date,\\n start_published_date=start_date\\n )\\n results.extend(response.results)\\n \\n self.repr_value = results\\n\\n return results\\n\\n\",\"password\":false,\"name\":\"code\",\"advanced\":false,\"type\":\"code\",\"list\":false},\"_type\":\"CustomComponent\",\"include_domains\":{\"required\":true,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"value\":[\"yout\"],\"password\":false,\"name\":\"include_domains\",\"display_name\":\"Include Domains\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"str\",\"list\":true},\"methaphor_client\":{\"required\":true,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"password\":false,\"name\":\"methaphor_client\",\"display_name\":\"methaphor_client\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"Data\",\"list\":false},\"query\":{\"required\":true,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"password\":false,\"name\":\"query\",\"display_name\":\"query\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"str\",\"list\":false,\"value\":\"pasteldasdasdas\"},\"search_num_results\":{\"required\":true,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"value\":5,\"password\":false,\"name\":\"search_num_results\",\"display_name\":\"Number of Results (per domain)\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"int\",\"list\":false},\"search_type\":{\"required\":true,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"value\":\"keyword\",\"password\":false,\"options\":[\"neural\",\"keyword\"],\"name\":\"search_type\",\"display_name\":\"Search Type\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"str\",\"list\":true},\"start_date\":{\"required\":true,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"value\":\"\",\"password\":false,\"name\":\"start_date\",\"display_name\":\"start_date\",\"advanced\":false,\"input_types\":[\"Data\"],\"dynamic\":false,\"info\":\"\",\"type\":\"str\",\"list\":false},\"use_autoprompt\":{\"required\":true,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"value\":false,\"password\":false,\"name\":\"use_autoprompt\",\"display_name\":\"Use Autoprompt\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"bool\",\"list\":false}},\"description\":\"Search in Metaphor with a custom string.\",\"base_classes\":[\"Data\"],\"display_name\":\"Metaphor Search\",\"custom_fields\":{\"include_domains\":null,\"methaphor_client\":null,\"query\":null,\"search_num_results\":null,\"search_type\":null,\"start_date\":null,\"use_autoprompt\":null},\"output_types\":[\"Data\"],\"documentation\":\"\",\"beta\":true,\"error\":null,\"official\":false},\"id\":\"CustomComponent-ipifC\"},\"id\":\"CustomComponent-ipifC\",\"position\":{\"x\":0,\"y\":0},\"type\":\"genericNode\"}],\"viewport\":{\"x\":1,\"y\":1,\"zoom\":1}},\"is_component\":true,\"updated_at\":\"2023-12-09T13:26:49.799612\",\"folder\":null,\"id\":\"ca83ee08-2f93-427d-9897-80fef6dd5447\",\"user_id\":\"d253bfba-6368-44dc-85f7-0d6da9e45968\"},{\"name\":\"Metaphor Search\",\"description\":\"Search in Metaphor with a custom string.\",\"data\":{\"edges\":[],\"nodes\":[{\"data\":{\"type\":\"CustomComponent\",\"node\":{\"template\":{\"code\":{\"dynamic\":true,\"required\":true,\"placeholder\":\"\",\"show\":true,\"multiline\":true,\"value\":\"from langflow import CustomComponent\\nfrom typing import List, Union\\nfrom langchain.llms.base import BaseLLM\\nfrom langchain.chains import LLMChain\\nfrom langchain import PromptTemplate\\nfrom langchain.schema import Document\\nfrom metaphor_python import Metaphor\\nimport json\\n\\nfrom typing import List\\nfrom langflow.field_typing import Data\\n\\nclass MetaphorSearch(CustomComponent):\\n display_name: str = \\\"Metaphor Search\\\"\\n description: str = \\\"Search in Metaphor with a custom string.\\\"\\n beta = True\\n \\n def build_config(self):\\n return {\\n \\\"metaphor_client\\\": {\\\"display_name\\\": \\\"Metaphor Wrapper\\\"}, \\n \\\"search_num_results\\\": {\\\"display_name\\\": \\\"Number of Results (per domain)\\\"},\\n \\\"include_domains\\\": {\\\"display_name\\\": \\\"Include Domains\\\", \\\"is_list\\\": True},\\n \\\"start_date\\\": {\\\"display_name\\\": \\\"Start Date\\\"},\\n \\\"use_autoprompt\\\": {\\\"display_name\\\": \\\"Use Autoprompt\\\", \\\"type\\\": \\\"boolean\\\"},\\n \\\"search_type\\\": {\\\"display_name\\\": \\\"Search Type\\\", \\\"options\\\": [\\\"neural\\\", \\\"keyword\\\"]},\\n \\\"start_date\\\": {\\\"input_types\\\": [\\\"Data\\\"]}\\n }\\n\\n def build(\\n self,\\n methaphor_client: Data,\\n query: str,\\n search_type: str='keyword',\\n search_num_results: int = 5,\\n include_domains: List[str]= [\\\"youtube.com\\\"],\\n use_autoprompt: bool = False,\\n start_date: str=\\\"2023-01-01\\\",\\n \\n ) -> Data:\\n \\n results = []\\n for domain in include_domains:\\n response = methaphor_client.search(\\n query,\\n num_results=int(search_num_results),\\n include_domains=[domain],\\n use_autoprompt=use_autoprompt,\\n type=search_type,\\n # start_crawl_date=start_date,\\n start_published_date=start_date\\n )\\n results.extend(response.results)\\n \\n self.repr_value = results\\n\\n return results\\n\\n\",\"password\":false,\"name\":\"code\",\"advanced\":false,\"type\":\"code\",\"list\":false},\"_type\":\"CustomComponent\",\"include_domains\":{\"required\":true,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"value\":[\"yout\"],\"password\":false,\"name\":\"include_domains\",\"display_name\":\"Include Domains\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"str\",\"list\":true},\"methaphor_client\":{\"required\":true,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"password\":false,\"name\":\"methaphor_client\",\"display_name\":\"methaphor_client\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"Data\",\"list\":false},\"query\":{\"required\":true,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"password\":false,\"name\":\"query\",\"display_name\":\"query\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"str\",\"list\":false,\"value\":\"pasteldasdasdas\"},\"search_num_results\":{\"required\":true,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"value\":5,\"password\":false,\"name\":\"search_num_results\",\"display_name\":\"Number of Results (per domain)\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"int\",\"list\":false},\"search_type\":{\"required\":true,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"value\":\"keyword\",\"password\":false,\"options\":[\"neural\",\"keyword\"],\"name\":\"search_type\",\"display_name\":\"Search Type\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"str\",\"list\":true},\"start_date\":{\"required\":true,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"value\":\"\",\"password\":false,\"name\":\"start_date\",\"display_name\":\"start_date\",\"advanced\":false,\"input_types\":[\"Data\"],\"dynamic\":false,\"info\":\"\",\"type\":\"str\",\"list\":false},\"use_autoprompt\":{\"required\":true,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"value\":false,\"password\":false,\"name\":\"use_autoprompt\",\"display_name\":\"Use Autoprompt\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"bool\",\"list\":false}},\"description\":\"Search in Metaphor with a custom string.\",\"base_classes\":[\"Data\"],\"display_name\":\"Metaphor Search\",\"custom_fields\":{\"include_domains\":null,\"methaphor_client\":null,\"query\":null,\"search_num_results\":null,\"search_type\":null,\"start_date\":null,\"use_autoprompt\":null},\"output_types\":[\"Data\"],\"documentation\":\"\",\"beta\":true,\"error\":null,\"official\":false},\"id\":\"CustomComponent-Y4qL7\"},\"id\":\"CustomComponent-Y4qL7\",\"position\":{\"x\":0,\"y\":0},\"type\":\"genericNode\"}],\"viewport\":{\"x\":1,\"y\":1,\"zoom\":1}},\"is_component\":true,\"updated_at\":\"2023-12-09T13:26:53.719960\",\"folder\":null,\"id\":\"5847602b-769a-4a82-82e8-a70f54a59929\",\"user_id\":\"d253bfba-6368-44dc-85f7-0d6da9e45968\"},{\"name\":\"Lively Williams\",\"description\":\"Conversational Cartography Unlocked.\",\"data\":{\"nodes\":[],\"edges\":[],\"viewport\":{\"zoom\":1,\"x\":0,\"y\":0}},\"is_component\":false,\"updated_at\":\"2023-12-09T13:27:45.691254\",\"folder\":null,\"id\":\"0e3bdba9-127a-4399-81a4-2865b70a4a47\",\"user_id\":\"d253bfba-6368-44dc-85f7-0d6da9e45968\"},{\"name\":\"Shared Component\",\"description\":\"Conversational Cartography Unlocked.\",\"data\":{\"nodes\":[{\"width\":384,\"height\":328,\"id\":\"CSVAgent-TK9Ea\",\"type\":\"genericNode\",\"position\":{\"x\":251.25514772667083,\"y\":160.7424529887874},\"data\":{\"type\":\"CSVAgent\",\"node\":{\"template\":{\"llm\":{\"required\":true,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"password\":false,\"name\":\"llm\",\"display_name\":\"LLM\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"BaseLanguageModel\",\"list\":false},\"path\":{\"required\":true,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"value\":\"\",\"password\":false,\"name\":\"path\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"file\",\"list\":false,\"fileTypes\":[\".csv\"],\"file_path\":null},\"_type\":\"csv_agent\"},\"description\":\"Construct a CSV agent from a CSV and tools.\",\"base_classes\":[\"AgentExecutor\"],\"display_name\":\"CSVAgent\",\"custom_fields\":{},\"output_types\":[],\"documentation\":\"https://python.langchain.com/docs/modules/agents/toolkits/csv\",\"beta\":false,\"error\":null},\"id\":\"CSVAgent-TK9Ea\"},\"positionAbsolute\":{\"x\":251.25514772667083,\"y\":160.7424529887874}}],\"edges\":[],\"viewport\":{\"x\":104.85568116317398,\"y\":88.26375874183478,\"zoom\":0.7169776240079145}},\"is_component\":false,\"updated_at\":\"2023-12-09T13:28:34.119070\",\"folder\":null,\"id\":\"29c1a247-47b0-457b-8666-7c0a67dc72b0\",\"user_id\":\"d253bfba-6368-44dc-85f7-0d6da9e45968\"},{\"name\":\"teste cristhian\",\"description\":\"11111\",\"data\":{\"nodes\":[{\"width\":384,\"height\":328,\"id\":\"CSVAgent-P5wrB\",\"type\":\"genericNode\",\"position\":{\"x\":251.25514772667083,\"y\":160.7424529887874},\"data\":{\"type\":\"CSVAgent\",\"node\":{\"template\":{\"llm\":{\"required\":true,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"password\":false,\"name\":\"llm\",\"display_name\":\"LLM\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"BaseLanguageModel\",\"list\":false},\"path\":{\"required\":true,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"value\":\"\",\"password\":false,\"name\":\"path\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"file\",\"list\":false,\"fileTypes\":[\".csv\"],\"file_path\":null},\"_type\":\"csv_agent\"},\"description\":\"Construct a CSV agent from a CSV and tools.\",\"base_classes\":[\"AgentExecutor\"],\"display_name\":\"CSVAgent\",\"custom_fields\":{},\"output_types\":[],\"documentation\":\"https://python.langchain.com/docs/modules/agents/toolkits/csv\",\"beta\":false,\"error\":null},\"id\":\"CSVAgent-P5wrB\"},\"positionAbsolute\":{\"x\":251.25514772667083,\"y\":160.7424529887874}},{\"width\":384,\"height\":626,\"id\":\"OpenAI-zpihD\",\"type\":\"genericNode\",\"position\":{\"x\":-56.983202536768374,\"y\":61.715652677908665},\"data\":{\"type\":\"OpenAI\",\"node\":{\"template\":{\"callbacks\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"password\":false,\"name\":\"callbacks\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"langchain_core.callbacks.base.BaseCallbackHandler\",\"list\":true},\"allowed_special\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"value\":[],\"password\":false,\"name\":\"allowed_special\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"str\",\"list\":true},\"async_client\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"password\":false,\"name\":\"async_client\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"Any\",\"list\":false},\"batch_size\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"value\":20,\"password\":false,\"name\":\"batch_size\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"int\",\"list\":false},\"best_of\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"value\":1,\"password\":false,\"name\":\"best_of\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"int\",\"list\":false},\"cache\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"password\":false,\"name\":\"cache\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"bool\",\"list\":false},\"client\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"password\":false,\"name\":\"client\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"Any\",\"list\":false},\"default_headers\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"password\":false,\"name\":\"default_headers\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"dict\",\"list\":false},\"default_query\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"password\":false,\"name\":\"default_query\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"dict\",\"list\":false},\"disallowed_special\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"value\":\"all\",\"password\":false,\"name\":\"disallowed_special\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"str\",\"list\":false},\"frequency_penalty\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"value\":0,\"password\":false,\"name\":\"frequency_penalty\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"float\",\"list\":false},\"http_client\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"password\":false,\"name\":\"http_client\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"Any\",\"list\":false},\"logit_bias\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"password\":false,\"name\":\"logit_bias\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"dict\",\"list\":false},\"max_retries\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"value\":2,\"password\":false,\"name\":\"max_retries\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"int\",\"list\":false},\"max_tokens\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"value\":\"\",\"password\":true,\"name\":\"max_tokens\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"int\",\"list\":false},\"metadata\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"password\":false,\"name\":\"metadata\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"dict\",\"list\":false},\"model_kwargs\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"password\":false,\"name\":\"model_kwargs\",\"advanced\":true,\"dynamic\":false,\"info\":\"\",\"type\":\"dict\",\"list\":false},\"model_name\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"value\":\"text-babbage-001\",\"password\":false,\"options\":[\"text-davinci-003\",\"text-davinci-002\",\"text-curie-001\",\"text-babbage-001\",\"text-ada-001\"],\"name\":\"model_name\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"str\",\"list\":true},\"n\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"value\":1,\"password\":false,\"name\":\"n\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"int\",\"list\":false},\"openai_api_base\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"password\":false,\"name\":\"openai_api_base\",\"display_name\":\"OpenAI API Base\",\"advanced\":false,\"dynamic\":false,\"info\":\"\\nThe base URL of the OpenAI API. Defaults to https://api.openai.com/v1.\\n\\nYou can change this to use other APIs like JinaChat, LocalAI and Prem.\\n\",\"type\":\"str\",\"list\":false,\"value\":\"dasdasdasdsadasdas\"},\"openai_api_key\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"value\":\"\",\"password\":true,\"name\":\"openai_api_key\",\"display_name\":\"OpenAI API Key\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"str\",\"list\":false},\"openai_organization\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"password\":false,\"name\":\"openai_organization\",\"display_name\":\"OpenAI Organization\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"str\",\"list\":false},\"openai_proxy\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"password\":false,\"name\":\"openai_proxy\",\"display_name\":\"OpenAI Proxy\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"str\",\"list\":false},\"presence_penalty\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"value\":0,\"password\":false,\"name\":\"presence_penalty\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"float\",\"list\":false},\"request_timeout\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"password\":false,\"name\":\"request_timeout\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"float\",\"list\":false},\"streaming\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"value\":false,\"password\":false,\"name\":\"streaming\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"bool\",\"list\":false},\"tags\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"password\":false,\"name\":\"tags\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"str\",\"list\":true},\"temperature\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"value\":\"1.4\",\"password\":false,\"name\":\"temperature\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"float\",\"list\":false},\"tiktoken_model_name\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"password\":false,\"name\":\"tiktoken_model_name\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"str\",\"list\":false},\"top_p\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"value\":1,\"password\":false,\"name\":\"top_p\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"float\",\"list\":false},\"verbose\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"password\":false,\"name\":\"verbose\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"bool\",\"list\":false},\"_type\":\"OpenAI\"},\"description\":\"OpenAI large language models.\",\"base_classes\":[\"OpenAI\",\"BaseLanguageModel\",\"BaseLLM\",\"BaseOpenAI\"],\"display_name\":\"OpenAI\",\"custom_fields\":{},\"output_types\":[],\"documentation\":\"https://python.langchain.com/docs/modules/model_io/models/llms/integrations/openai\",\"beta\":false,\"error\":null},\"id\":\"OpenAI-zpihD\"},\"selected\":true,\"dragging\":false,\"positionAbsolute\":{\"x\":-56.983202536768374,\"y\":61.715652677908665}}],\"edges\":[],\"viewport\":{\"x\":104.85568116317398,\"y\":88.26375874183478,\"zoom\":0.7169776240079145}},\"is_component\":false,\"updated_at\":\"2023-12-09T13:40:48.453096\",\"folder\":null,\"id\":\"2e59d013-2acb-49a6-915b-9231a7e6eb58\",\"user_id\":\"d253bfba-6368-44dc-85f7-0d6da9e45968\"},{\"name\":\"CSVAgent (1)\",\"description\":\"Construct a CSV agent from a CSV and tools.\",\"data\":{\"edges\":[],\"nodes\":[{\"data\":{\"type\":\"CSVAgent\",\"node\":{\"template\":{\"llm\":{\"required\":true,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"password\":false,\"name\":\"llm\",\"display_name\":\"LLM\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"BaseLanguageModel\",\"list\":false},\"path\":{\"required\":true,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"value\":\"\",\"password\":false,\"name\":\"path\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"file\",\"list\":false,\"fileTypes\":[\".csv\"],\"file_path\":null},\"_type\":\"csv_agent\"},\"description\":\"Construct a CSV agent from a CSV and tools.\",\"base_classes\":[\"AgentExecutor\"],\"display_name\":\"CSVAgent\",\"custom_fields\":{},\"output_types\":[],\"documentation\":\"https://python.langchain.com/docs/modules/agents/toolkits/csv\",\"beta\":false,\"error\":null,\"official\":false},\"id\":\"CSVAgent-jsHqy\"},\"id\":\"CSVAgent-jsHqy\",\"position\":{\"x\":0,\"y\":0},\"type\":\"genericNode\"}],\"viewport\":{\"x\":1,\"y\":1,\"zoom\":1}},\"is_component\":true,\"updated_at\":\"2023-12-09T13:31:17.317322\",\"folder\":null,\"id\":\"ab1034a9-9b5b-4c65-bf6e-9f098a403942\",\"user_id\":\"d253bfba-6368-44dc-85f7-0d6da9e45968\"},{\"name\":\"Suspicious Wilsonfasdfsd\",\"description\":\"Building Linguistic Labyrinths.fasdfads\",\"data\":{\"nodes\":[],\"edges\":[],\"viewport\":{\"zoom\":1,\"x\":0,\"y\":0}},\"is_component\":false,\"updated_at\":\"2023-12-09T14:43:45.298121\",\"folder\":null,\"id\":\"7d91c0c5-fba6-4c60-b4d1-11d430ef357a\",\"user_id\":\"d253bfba-6368-44dc-85f7-0d6da9e45968\"},{\"name\":\"AirbyteJSONLoader (1)\",\"description\":\"Load local `Airbyte` json files.\",\"data\":{\"edges\":[],\"nodes\":[{\"data\":{\"type\":\"AirbyteJSONLoader\",\"node\":{\"template\":{\"file_path\":{\"required\":true,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"value\":\"\",\"password\":false,\"name\":\"file_path\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"file\",\"list\":false,\"fileTypes\":[\".json\"],\"file_path\":null},\"metadata\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"value\":[{\"\":\"\"}],\"password\":false,\"name\":\"metadata\",\"display_name\":\"Metadata\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"dict\",\"list\":false},\"_type\":\"AirbyteJSONLoader\"},\"description\":\"Load local `Airbyte` json files.\",\"base_classes\":[\"Document\"],\"display_name\":\"AirbyteJSONLoader\",\"custom_fields\":{},\"output_types\":[\"Document\"],\"documentation\":\"https://python.langchain.com/docs/modules/data_connection/document_loaders/integrations/airbyte_json\",\"beta\":false,\"error\":null,\"official\":false},\"id\":\"AirbyteJSONLoader-pAHh6\"},\"id\":\"AirbyteJSONLoader-pAHh6\",\"position\":{\"x\":0,\"y\":0},\"type\":\"genericNode\"}],\"viewport\":{\"x\":1,\"y\":1,\"zoom\":1}},\"is_component\":true,\"updated_at\":\"2023-12-09T13:47:58.573137\",\"folder\":null,\"id\":\"f0cc4292-97cc-4748-803d-949e30dcf661\",\"user_id\":\"d253bfba-6368-44dc-85f7-0d6da9e45968\"},{\"name\":\"AirbyteJSONLoader\",\"description\":\"Load local `Airbyte` json files.\",\"data\":{\"edges\":[],\"nodes\":[{\"data\":{\"type\":\"AirbyteJSONLoader\",\"node\":{\"template\":{\"file_path\":{\"required\":true,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"value\":\"\",\"password\":false,\"name\":\"file_path\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"file\",\"list\":false,\"fileTypes\":[\".json\"],\"file_path\":null},\"metadata\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"value\":[{\"ff2\":\"d3bbd\"},{\"w\":\"bvd\"}],\"password\":false,\"name\":\"metadata\",\"display_name\":\"Metadata\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"dict\",\"list\":false},\"_type\":\"AirbyteJSONLoader\"},\"description\":\"Load local `Airbyte` json files.\",\"base_classes\":[\"Document\"],\"display_name\":\"AirbyteJSONLoader\",\"custom_fields\":{},\"output_types\":[\"Document\"],\"documentation\":\"https://python.langchain.com/docs/modules/data_connection/document_loaders/integrations/airbyte_json\",\"beta\":false,\"error\":null,\"official\":false},\"id\":\"AirbyteJSONLoader-0zU2Q\"},\"id\":\"AirbyteJSONLoader-0zU2Q\",\"position\":{\"x\":0,\"y\":0},\"type\":\"genericNode\"}],\"viewport\":{\"x\":1,\"y\":1,\"zoom\":1}},\"is_component\":true,\"updated_at\":\"2023-12-09T13:50:09.035318\",\"folder\":null,\"id\":\"5e3c0d55-1a00-4e15-9821-0c625c6415ff\",\"user_id\":\"d253bfba-6368-44dc-85f7-0d6da9e45968\"},{\"name\":\"CSVAgent\",\"description\":\"Construct a CSV agent from a CSV and tools.\",\"data\":{\"edges\":[],\"nodes\":[{\"data\":{\"type\":\"CSVAgent\",\"node\":{\"template\":{\"llm\":{\"required\":true,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"password\":false,\"name\":\"llm\",\"display_name\":\"LLM\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"BaseLanguageModel\",\"list\":false},\"path\":{\"required\":true,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"value\":\"\",\"password\":false,\"name\":\"path\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"file\",\"list\":false,\"fileTypes\":[\".csv\"],\"file_path\":null},\"_type\":\"csv_agent\"},\"description\":\"Construct a CSV agent from a CSV and tools.\",\"base_classes\":[\"AgentExecutor\"],\"display_name\":\"CSVAgent\",\"custom_fields\":{},\"output_types\":[],\"documentation\":\"https://python.langchain.com/docs/modules/agents/toolkits/csv\",\"beta\":false,\"error\":null,\"official\":false},\"id\":\"CSVAgent-Ub1Xe\"},\"id\":\"CSVAgent-Ub1Xe\",\"position\":{\"x\":0,\"y\":0},\"type\":\"genericNode\"}],\"viewport\":{\"x\":1,\"y\":1,\"zoom\":1}},\"is_component\":true,\"updated_at\":\"2023-12-09T13:50:16.985419\",\"folder\":null,\"id\":\"baee8061-4788-4ce6-928f-c6ce1ecb443c\",\"user_id\":\"d253bfba-6368-44dc-85f7-0d6da9e45968\"},{\"name\":\"Lively Heisenberg\",\"description\":\"Maximize Impact with Intelligent Conversations.\",\"data\":{\"nodes\":[{\"width\":384,\"height\":366,\"id\":\"CSVLoader-RMUx9\",\"type\":\"genericNode\",\"position\":{\"x\":111,\"y\":345.51250076293945},\"data\":{\"type\":\"CSVLoader\",\"node\":{\"template\":{\"file_path\":{\"required\":true,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"value\":\"\",\"password\":false,\"name\":\"file_path\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"file\",\"list\":false,\"fileTypes\":[\".csv\"],\"file_path\":null},\"metadata\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"value\":[{\"z2b\":\"z9\"}],\"password\":false,\"name\":\"metadata\",\"display_name\":\"Metadata\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"dict\",\"list\":false},\"_type\":\"CSVLoader\"},\"description\":\"Load a `CSV` file into a list of Documents.\",\"base_classes\":[\"Document\"],\"display_name\":\"CSVLoader\",\"custom_fields\":{},\"output_types\":[\"Document\"],\"documentation\":\"https://python.langchain.com/docs/modules/data_connection/document_loaders/integrations/csv\",\"beta\":false,\"error\":null},\"id\":\"CSVLoader-RMUx9\"},\"positionAbsolute\":{\"x\":111,\"y\":345.51250076293945}}],\"edges\":[],\"viewport\":{\"x\":0,\"y\":0,\"zoom\":1}},\"is_component\":false,\"updated_at\":\"2023-12-09T14:38:40.291137\",\"folder\":null,\"id\":\"109e9629-d569-4555-9d40-42203a5ed035\",\"user_id\":\"d253bfba-6368-44dc-85f7-0d6da9e45968\"},{\"name\":\"CohereEmbeddings\",\"description\":\"Cohere embedding models.\",\"data\":{\"edges\":[],\"nodes\":[{\"data\":{\"type\":\"CohereEmbeddings\",\"node\":{\"template\":{\"async_client\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"password\":false,\"name\":\"async_client\",\"advanced\":true,\"dynamic\":false,\"info\":\"\",\"type\":\"Any\",\"list\":false},\"client\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"password\":false,\"name\":\"client\",\"advanced\":true,\"dynamic\":false,\"info\":\"\",\"type\":\"Any\",\"list\":false},\"cohere_api_key\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"password\":true,\"name\":\"cohere_api_key\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"str\",\"list\":false,\"value\":\"\"},\"max_retries\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"password\":false,\"name\":\"max_retries\",\"advanced\":true,\"dynamic\":false,\"info\":\"\",\"type\":\"int\",\"list\":false},\"model\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"value\":\"embed-english-v2.0\",\"password\":false,\"name\":\"model\",\"advanced\":true,\"dynamic\":false,\"info\":\"\",\"type\":\"str\",\"list\":false},\"request_timeout\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"password\":false,\"name\":\"request_timeout\",\"advanced\":true,\"dynamic\":false,\"info\":\"\",\"type\":\"float\",\"list\":false},\"truncate\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"password\":false,\"name\":\"truncate\",\"advanced\":true,\"dynamic\":false,\"info\":\"\",\"type\":\"str\",\"list\":false},\"user_agent\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"value\":\"langchain\",\"password\":false,\"name\":\"user_agent\",\"advanced\":true,\"dynamic\":false,\"info\":\"\",\"type\":\"str\",\"list\":false},\"_type\":\"CohereEmbeddings\"},\"description\":\"Cohere embedding models.\",\"base_classes\":[\"CohereEmbeddings\",\"Embeddings\"],\"display_name\":\"CohereEmbeddings\",\"custom_fields\":{},\"output_types\":[],\"documentation\":\"https://python.langchain.com/docs/modules/data_connection/text_embedding/integrations/cohere\",\"beta\":false,\"error\":null,\"official\":false},\"id\":\"CohereEmbeddings-HFUAf\"},\"id\":\"CohereEmbeddings-HFUAf\",\"position\":{\"x\":0,\"y\":0},\"type\":\"genericNode\"}],\"viewport\":{\"x\":1,\"y\":1,\"zoom\":1}},\"is_component\":true,\"updated_at\":\"2023-12-09T13:50:46.172344\",\"folder\":null,\"id\":\"662d8040-d47c-40db-bda1-66489a1c9d24\",\"user_id\":\"d253bfba-6368-44dc-85f7-0d6da9e45968\"},{\"name\":\"CSVLoader (1)\",\"description\":\"Load a `CSV` file into a list of Documents.\",\"data\":{\"edges\":[],\"nodes\":[{\"data\":{\"type\":\"CSVLoader\",\"node\":{\"template\":{\"file_path\":{\"required\":true,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"value\":\"\",\"password\":false,\"name\":\"file_path\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"file\",\"list\":false,\"fileTypes\":[\".csv\"],\"file_path\":null},\"metadata\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"value\":[{\"cddscz23\":\"aaqd\"}],\"password\":false,\"name\":\"metadata\",\"display_name\":\"Metadata\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"dict\",\"list\":false},\"_type\":\"CSVLoader\"},\"description\":\"Load a `CSV` file into a list of Documents.\",\"base_classes\":[\"Document\"],\"display_name\":\"CSVLoader\",\"custom_fields\":{},\"output_types\":[\"Document\"],\"documentation\":\"https://python.langchain.com/docs/modules/data_connection/document_loaders/integrations/csv\",\"beta\":false,\"error\":null,\"official\":false},\"id\":\"CSVLoader-3wrib\"},\"id\":\"CSVLoader-3wrib\",\"position\":{\"x\":0,\"y\":0},\"type\":\"genericNode\"}],\"viewport\":{\"x\":1,\"y\":1,\"zoom\":1}},\"is_component\":true,\"updated_at\":\"2023-12-09T13:56:11.662526\",\"folder\":null,\"id\":\"4fae6aec-ddbd-498d-a4d1-ca0290f6a5ad\",\"user_id\":\"d253bfba-6368-44dc-85f7-0d6da9e45968\"},{\"name\":\"CSVLoader (2)\",\"description\":\"Load a `CSV` file into a list of Documents.\",\"data\":{\"edges\":[],\"nodes\":[{\"data\":{\"type\":\"CSVLoader\",\"node\":{\"template\":{\"file_path\":{\"required\":true,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"value\":\"\",\"password\":false,\"name\":\"file_path\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"file\",\"list\":false,\"fileTypes\":[\".csv\"],\"file_path\":null},\"metadata\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"value\":[{\"cddscz23\":\"aaqd\"}],\"password\":false,\"name\":\"metadata\",\"display_name\":\"Metadata\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"dict\",\"list\":false},\"_type\":\"CSVLoader\"},\"description\":\"Load a `CSV` file into a list of Documents.\",\"base_classes\":[\"Document\"],\"display_name\":\"CSVLoader\",\"custom_fields\":{},\"output_types\":[\"Document\"],\"documentation\":\"https://python.langchain.com/docs/modules/data_connection/document_loaders/integrations/csv\",\"beta\":false,\"error\":null,\"official\":false},\"id\":\"CSVLoader-VEjyx\"},\"id\":\"CSVLoader-VEjyx\",\"position\":{\"x\":0,\"y\":0},\"type\":\"genericNode\"}],\"viewport\":{\"x\":1,\"y\":1,\"zoom\":1}},\"is_component\":true,\"updated_at\":\"2023-12-09T13:57:37.560784\",\"folder\":null,\"id\":\"d80635ee-966c-41f2-981c-afa2c388ac6e\",\"user_id\":\"d253bfba-6368-44dc-85f7-0d6da9e45968\"},{\"name\":\"CSVLoader (3)\",\"description\":\"Load a `CSV` file into a list of Documents.\",\"data\":{\"edges\":[],\"nodes\":[{\"data\":{\"type\":\"CSVLoader\",\"node\":{\"template\":{\"file_path\":{\"required\":true,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"value\":\"\",\"password\":false,\"name\":\"file_path\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"file\",\"list\":false,\"fileTypes\":[\".csv\"],\"file_path\":null},\"metadata\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"value\":[{\"cddscz23\":\"aaqd\"}],\"password\":false,\"name\":\"metadata\",\"display_name\":\"Metadata\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"dict\",\"list\":false},\"_type\":\"CSVLoader\"},\"description\":\"Load a `CSV` file into a list of Documents.\",\"base_classes\":[\"Document\"],\"display_name\":\"CSVLoader\",\"custom_fields\":{},\"output_types\":[\"Document\"],\"documentation\":\"https://python.langchain.com/docs/modules/data_connection/document_loaders/integrations/csv\",\"beta\":false,\"error\":null,\"official\":false},\"id\":\"CSVLoader-PIhOc\"},\"id\":\"CSVLoader-PIhOc\",\"position\":{\"x\":0,\"y\":0},\"type\":\"genericNode\"}],\"viewport\":{\"x\":1,\"y\":1,\"zoom\":1}},\"is_component\":true,\"updated_at\":\"2023-12-09T14:00:27.991966\",\"folder\":null,\"id\":\"c5cc4c32-77c8-4889-a9f8-2632466b7366\",\"user_id\":\"d253bfba-6368-44dc-85f7-0d6da9e45968\"},{\"name\":\"CSVLoader (4)\",\"description\":\"Load a `CSV` file into a list of Documents.\",\"data\":{\"edges\":[],\"nodes\":[{\"data\":{\"type\":\"CSVLoader\",\"node\":{\"template\":{\"file_path\":{\"required\":true,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"value\":\"\",\"password\":false,\"name\":\"file_path\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"file\",\"list\":false,\"fileTypes\":[\".csv\"],\"file_path\":null},\"metadata\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"value\":[{\"cddscz23\":\"aaqd\"}],\"password\":false,\"name\":\"metadata\",\"display_name\":\"Metadata\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"dict\",\"list\":false},\"_type\":\"CSVLoader\"},\"description\":\"Load a `CSV` file into a list of Documents.\",\"base_classes\":[\"Document\"],\"display_name\":\"CSVLoader\",\"custom_fields\":{},\"output_types\":[\"Document\"],\"documentation\":\"https://python.langchain.com/docs/modules/data_connection/document_loaders/integrations/csv\",\"beta\":false,\"error\":null,\"official\":false},\"id\":\"CSVLoader-deB43\"},\"id\":\"CSVLoader-deB43\",\"position\":{\"x\":0,\"y\":0},\"type\":\"genericNode\"}],\"viewport\":{\"x\":1,\"y\":1,\"zoom\":1}},\"is_component\":true,\"updated_at\":\"2023-12-09T14:00:42.509243\",\"folder\":null,\"id\":\"0ab59938-ccf4-4bb9-b285-1f5da38648f0\",\"user_id\":\"d253bfba-6368-44dc-85f7-0d6da9e45968\"},{\"name\":\"CSVLoader\",\"description\":\"Load a `CSV` file into a list of Documents.\",\"data\":{\"edges\":[],\"nodes\":[{\"data\":{\"type\":\"CSVLoader\",\"node\":{\"template\":{\"file_path\":{\"required\":true,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"value\":\"\",\"password\":false,\"name\":\"file_path\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"file\",\"list\":false,\"fileTypes\":[\".csv\"],\"file_path\":null},\"metadata\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"value\":[{\"\":\"aaqd\"}],\"password\":false,\"name\":\"metadata\",\"display_name\":\"Metadata\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"dict\",\"list\":false},\"_type\":\"CSVLoader\"},\"description\":\"Load a `CSV` file into a list of Documents.\",\"base_classes\":[\"Document\"],\"display_name\":\"CSVLoader\",\"custom_fields\":{},\"output_types\":[\"Document\"],\"documentation\":\"https://python.langchain.com/docs/modules/data_connection/document_loaders/integrations/csv\",\"beta\":false,\"error\":null,\"official\":false},\"id\":\"CSVLoader-mdkLm\"},\"id\":\"CSVLoader-mdkLm\",\"position\":{\"x\":0,\"y\":0},\"type\":\"genericNode\"}],\"viewport\":{\"x\":1,\"y\":1,\"zoom\":1}},\"is_component\":true,\"updated_at\":\"2023-12-09T14:02:17.458354\",\"folder\":null,\"id\":\"f127b7e7-4149-492e-8998-6b1b35ec4153\",\"user_id\":\"d253bfba-6368-44dc-85f7-0d6da9e45968\"},{\"name\":\"CSVLoader (5)\",\"description\":\"Load a `CSV` file into a list of Documents.\",\"data\":{\"edges\":[],\"nodes\":[{\"data\":{\"type\":\"CSVLoader\",\"node\":{\"template\":{\"file_path\":{\"required\":true,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"value\":\"\",\"password\":false,\"name\":\"file_path\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"file\",\"list\":false,\"fileTypes\":[\".csv\"],\"file_path\":null},\"metadata\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"value\":[{\"cddscz23\":\"aaqd\"}],\"password\":false,\"name\":\"metadata\",\"display_name\":\"Metadata\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"dict\",\"list\":false},\"_type\":\"CSVLoader\"},\"description\":\"Load a `CSV` file into a list of Documents.\",\"base_classes\":[\"Document\"],\"display_name\":\"CSVLoader\",\"custom_fields\":{},\"output_types\":[\"Document\"],\"documentation\":\"https://python.langchain.com/docs/modules/data_connection/document_loaders/integrations/csv\",\"beta\":false,\"error\":null,\"official\":false},\"id\":\"CSVLoader-FRc6Y\"},\"id\":\"CSVLoader-FRc6Y\",\"position\":{\"x\":0,\"y\":0},\"type\":\"genericNode\"}],\"viewport\":{\"x\":1,\"y\":1,\"zoom\":1}},\"is_component\":true,\"updated_at\":\"2023-12-09T14:02:26.958867\",\"folder\":null,\"id\":\"a870a096-725c-4914-add0-8d57d710b7e5\",\"user_id\":\"d253bfba-6368-44dc-85f7-0d6da9e45968\"},{\"name\":\"AirbyteJSONLoader (2)\",\"description\":\"Load local `Airbyte` json files.\",\"data\":{\"edges\":[],\"nodes\":[{\"data\":{\"type\":\"AirbyteJSONLoader\",\"node\":{\"template\":{\"file_path\":{\"required\":true,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"value\":\"\",\"password\":false,\"name\":\"file_path\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"file\",\"list\":false,\"fileTypes\":[\".json\"],\"file_path\":null},\"metadata\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"value\":[{\"\":\"\"}],\"password\":false,\"name\":\"metadata\",\"display_name\":\"Metadata\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"dict\",\"list\":false},\"_type\":\"AirbyteJSONLoader\"},\"description\":\"Load local `Airbyte` json files.\",\"base_classes\":[\"Document\"],\"display_name\":\"AirbyteJSONLoader\",\"custom_fields\":{},\"output_types\":[\"Document\"],\"documentation\":\"https://python.langchain.com/docs/modules/data_connection/document_loaders/integrations/airbyte_json\",\"beta\":false,\"error\":null,\"official\":false},\"id\":\"AirbyteJSONLoader-Z0uol\"},\"id\":\"AirbyteJSONLoader-Z0uol\",\"position\":{\"x\":0,\"y\":0},\"type\":\"genericNode\"}],\"viewport\":{\"x\":1,\"y\":1,\"zoom\":1}},\"is_component\":true,\"updated_at\":\"2023-12-09T14:03:33.764117\",\"folder\":null,\"id\":\"2a37c76c-65c8-4c01-a72d-eb46f3d41a56\",\"user_id\":\"d253bfba-6368-44dc-85f7-0d6da9e45968\"},{\"name\":\"Amazon Bedrock Embeddings\",\"description\":\"Embeddings model from Amazon Bedrock.\",\"data\":{\"edges\":[],\"nodes\":[{\"data\":{\"type\":\"AmazonBedrockEmbeddings\",\"node\":{\"template\":{\"code\":{\"dynamic\":true,\"required\":true,\"placeholder\":\"\",\"show\":false,\"multiline\":true,\"value\":\"from typing import Optional\\n\\nfrom langchain.embeddings import BedrockEmbeddings\\nfrom langchain.embeddings.base import Embeddings\\nfrom langflow import CustomComponent\\n\\n\\nclass AmazonBedrockEmeddingsComponent(CustomComponent):\\n \\\"\\\"\\\"\\n A custom component for implementing an Embeddings Model using Amazon Bedrock.\\n \\\"\\\"\\\"\\n\\n display_name: str = \\\"Amazon Bedrock Embeddings\\\"\\n description: str = \\\"Embeddings model from Amazon Bedrock.\\\"\\n documentation = \\\"https://python.langchain.com/docs/modules/data_connection/text_embedding/integrations/bedrock\\\"\\n beta = True\\n\\n def build_config(self):\\n return {\\n \\\"model_id\\\": {\\n \\\"display_name\\\": \\\"Model Id\\\",\\n \\\"options\\\": [\\\"amazon.titan-embed-text-v1\\\"],\\n },\\n \\\"credentials_profile_name\\\": {\\\"display_name\\\": \\\"Credentials Profile Name\\\"},\\n \\\"endpoint_url\\\": {\\\"display_name\\\": \\\"Bedrock Endpoint URL\\\"},\\n \\\"region_name\\\": {\\\"display_name\\\": \\\"AWS Region\\\"},\\n \\\"code\\\": {\\\"show\\\": False},\\n }\\n\\n def build(\\n self,\\n model_id: str = \\\"amazon.titan-embed-text-v1\\\",\\n credentials_profile_name: Optional[str] = None,\\n endpoint_url: Optional[str] = None,\\n region_name: Optional[str] = None,\\n ) -> Embeddings:\\n try:\\n output = BedrockEmbeddings(\\n credentials_profile_name=credentials_profile_name,\\n model_id=model_id,\\n endpoint_url=endpoint_url,\\n region_name=region_name,\\n ) # type: ignore\\n except Exception as e:\\n raise ValueError(\\\"Could not connect to AmazonBedrock API.\\\") from e\\n return output\\n\",\"password\":false,\"name\":\"code\",\"advanced\":false,\"type\":\"code\",\"list\":false},\"_type\":\"CustomComponent\",\"credentials_profile_name\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"password\":false,\"name\":\"credentials_profile_name\",\"display_name\":\"Credentials Profile Name\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"str\",\"list\":false},\"endpoint_url\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"password\":false,\"name\":\"endpoint_url\",\"display_name\":\"Bedrock Endpoint URL\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"str\",\"list\":false},\"model_id\":{\"required\":true,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"value\":\"amazon.titan-embed-text-v1\",\"password\":false,\"options\":[\"amazon.titan-embed-text-v1\"],\"name\":\"model_id\",\"display_name\":\"Model Id\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"str\",\"list\":true},\"region_name\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"password\":false,\"name\":\"region_name\",\"display_name\":\"AWS Region\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"str\",\"list\":false}},\"description\":\"Embeddings model from Amazon Bedrock.\",\"base_classes\":[\"Embeddings\"],\"display_name\":\"Amazon Bedrock Embeddings\",\"custom_fields\":{\"credentials_profile_name\":null,\"endpoint_url\":null,\"model_id\":null,\"region_name\":null},\"output_types\":[\"AmazonBedrockEmbeddings\"],\"documentation\":\"https://python.langchain.com/docs/modules/data_connection/text_embedding/integrations/bedrock\",\"beta\":true,\"error\":null,\"official\":false},\"id\":\"AmazonBedrockEmbeddings-28ASv\"},\"id\":\"AmazonBedrockEmbeddings-28ASv\",\"position\":{\"x\":0,\"y\":0},\"type\":\"genericNode\"}],\"viewport\":{\"x\":1,\"y\":1,\"zoom\":1}},\"is_component\":true,\"updated_at\":\"2023-12-09T14:03:41.066618\",\"folder\":null,\"id\":\"850ba4e6-96ca-49a7-9b0c-4b7048fd52c8\",\"user_id\":\"d253bfba-6368-44dc-85f7-0d6da9e45968\"},{\"name\":\"ConversationBufferMemory\",\"description\":\"Buffer for storing conversation memory.\",\"data\":{\"edges\":[],\"nodes\":[{\"data\":{\"type\":\"ConversationBufferMemory\",\"node\":{\"template\":{\"chat_memory\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"password\":false,\"name\":\"chat_memory\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"BaseChatMessageHistory\",\"list\":false},\"ai_prefix\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"value\":\"AI\",\"password\":false,\"name\":\"ai_prefix\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"str\",\"list\":false},\"human_prefix\":{\"required\":false,\"placeholder\":\"\",\"show\":false,\"multiline\":false,\"value\":\"Human\",\"password\":false,\"name\":\"human_prefix\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"str\",\"list\":false},\"input_key\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"value\":\"\",\"password\":false,\"name\":\"input_key\",\"advanced\":false,\"dynamic\":false,\"info\":\"The variable to be used as Chat Input when more than one variable is available.\",\"type\":\"str\",\"list\":false},\"memory_key\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"value\":\"chat_history\",\"password\":false,\"name\":\"memory_key\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"str\",\"list\":false},\"output_key\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"value\":\"\",\"password\":false,\"name\":\"output_key\",\"advanced\":false,\"dynamic\":false,\"info\":\"The variable to be used as Chat Output (e.g. answer in a ConversationalRetrievalChain)\",\"type\":\"str\",\"list\":false},\"return_messages\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"password\":false,\"name\":\"return_messages\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"bool\",\"list\":false},\"_type\":\"ConversationBufferMemory\"},\"description\":\"Buffer for storing conversation memory.\",\"base_classes\":[\"BaseMemory\",\"BaseChatMemory\",\"ConversationBufferMemory\"],\"display_name\":\"ConversationBufferMemory\",\"custom_fields\":{},\"output_types\":[],\"documentation\":\"https://python.langchain.com/docs/modules/memory/how_to/buffer\",\"beta\":false,\"error\":null,\"official\":false},\"id\":\"ConversationBufferMemory-WaoLx\"},\"id\":\"ConversationBufferMemory-WaoLx\",\"position\":{\"x\":0,\"y\":0},\"type\":\"genericNode\"}],\"viewport\":{\"x\":1,\"y\":1,\"zoom\":1}},\"is_component\":true,\"updated_at\":\"2023-12-09T14:04:46.058568\",\"folder\":null,\"id\":\"be650940-0449-4eb0-a708-056310f924fd\",\"user_id\":\"d253bfba-6368-44dc-85f7-0d6da9e45968\"},{\"name\":\"Amazon Bedrock Embeddings (1)\",\"description\":\"Embeddings model from Amazon Bedrock.\",\"data\":{\"edges\":[],\"nodes\":[{\"data\":{\"type\":\"AmazonBedrockEmbeddings\",\"node\":{\"template\":{\"code\":{\"dynamic\":true,\"required\":true,\"placeholder\":\"\",\"show\":false,\"multiline\":true,\"value\":\"from typing import Optional\\n\\nfrom langchain.embeddings import BedrockEmbeddings\\nfrom langchain.embeddings.base import Embeddings\\nfrom langflow import CustomComponent\\n\\n\\nclass AmazonBedrockEmeddingsComponent(CustomComponent):\\n \\\"\\\"\\\"\\n A custom component for implementing an Embeddings Model using Amazon Bedrock.\\n \\\"\\\"\\\"\\n\\n display_name: str = \\\"Amazon Bedrock Embeddings\\\"\\n description: str = \\\"Embeddings model from Amazon Bedrock.\\\"\\n documentation = \\\"https://python.langchain.com/docs/modules/data_connection/text_embedding/integrations/bedrock\\\"\\n beta = True\\n\\n def build_config(self):\\n return {\\n \\\"model_id\\\": {\\n \\\"display_name\\\": \\\"Model Id\\\",\\n \\\"options\\\": [\\\"amazon.titan-embed-text-v1\\\"],\\n },\\n \\\"credentials_profile_name\\\": {\\\"display_name\\\": \\\"Credentials Profile Name\\\"},\\n \\\"endpoint_url\\\": {\\\"display_name\\\": \\\"Bedrock Endpoint URL\\\"},\\n \\\"region_name\\\": {\\\"display_name\\\": \\\"AWS Region\\\"},\\n \\\"code\\\": {\\\"show\\\": False},\\n }\\n\\n def build(\\n self,\\n model_id: str = \\\"amazon.titan-embed-text-v1\\\",\\n credentials_profile_name: Optional[str] = None,\\n endpoint_url: Optional[str] = None,\\n region_name: Optional[str] = None,\\n ) -> Embeddings:\\n try:\\n output = BedrockEmbeddings(\\n credentials_profile_name=credentials_profile_name,\\n model_id=model_id,\\n endpoint_url=endpoint_url,\\n region_name=region_name,\\n ) # type: ignore\\n except Exception as e:\\n raise ValueError(\\\"Could not connect to AmazonBedrock API.\\\") from e\\n return output\\n\",\"password\":false,\"name\":\"code\",\"advanced\":false,\"type\":\"code\",\"list\":false},\"_type\":\"CustomComponent\",\"credentials_profile_name\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"password\":false,\"name\":\"credentials_profile_name\",\"display_name\":\"Credentials Profile Name\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"str\",\"list\":false},\"endpoint_url\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"password\":false,\"name\":\"endpoint_url\",\"display_name\":\"Bedrock Endpoint URL\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"str\",\"list\":false},\"model_id\":{\"required\":true,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"value\":\"amazon.titan-embed-text-v1\",\"password\":false,\"options\":[\"amazon.titan-embed-text-v1\"],\"name\":\"model_id\",\"display_name\":\"Model Id\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"str\",\"list\":true},\"region_name\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"password\":false,\"name\":\"region_name\",\"display_name\":\"AWS Region\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"str\",\"list\":false}},\"description\":\"Embeddings model from Amazon Bedrock.\",\"base_classes\":[\"Embeddings\"],\"display_name\":\"Amazon Bedrock Embeddings\",\"custom_fields\":{\"credentials_profile_name\":null,\"endpoint_url\":null,\"model_id\":null,\"region_name\":null},\"output_types\":[\"AmazonBedrockEmbeddings\"],\"documentation\":\"https://python.langchain.com/docs/modules/data_connection/text_embedding/integrations/bedrock\",\"beta\":true,\"error\":null,\"official\":false},\"id\":\"AmazonBedrockEmbeddings-Bs5PG\"},\"id\":\"AmazonBedrockEmbeddings-Bs5PG\",\"position\":{\"x\":0,\"y\":0},\"type\":\"genericNode\"}],\"viewport\":{\"x\":1,\"y\":1,\"zoom\":1}},\"is_component\":true,\"updated_at\":\"2023-12-09T14:05:50.570800\",\"folder\":null,\"id\":\"53ad1fe2-f3af-4354-86e0-eb141ce12859\",\"user_id\":\"d253bfba-6368-44dc-85f7-0d6da9e45968\"},{\"name\":\"Amazon Bedrock Embeddings (2)\",\"description\":\"Embeddings model from Amazon Bedrock.\",\"data\":{\"edges\":[],\"nodes\":[{\"data\":{\"type\":\"AmazonBedrockEmbeddings\",\"node\":{\"template\":{\"code\":{\"dynamic\":true,\"required\":true,\"placeholder\":\"\",\"show\":false,\"multiline\":true,\"value\":\"from typing import Optional\\n\\nfrom langchain.embeddings import BedrockEmbeddings\\nfrom langchain.embeddings.base import Embeddings\\nfrom langflow import CustomComponent\\n\\n\\nclass AmazonBedrockEmeddingsComponent(CustomComponent):\\n \\\"\\\"\\\"\\n A custom component for implementing an Embeddings Model using Amazon Bedrock.\\n \\\"\\\"\\\"\\n\\n display_name: str = \\\"Amazon Bedrock Embeddings\\\"\\n description: str = \\\"Embeddings model from Amazon Bedrock.\\\"\\n documentation = \\\"https://python.langchain.com/docs/modules/data_connection/text_embedding/integrations/bedrock\\\"\\n beta = True\\n\\n def build_config(self):\\n return {\\n \\\"model_id\\\": {\\n \\\"display_name\\\": \\\"Model Id\\\",\\n \\\"options\\\": [\\\"amazon.titan-embed-text-v1\\\"],\\n },\\n \\\"credentials_profile_name\\\": {\\\"display_name\\\": \\\"Credentials Profile Name\\\"},\\n \\\"endpoint_url\\\": {\\\"display_name\\\": \\\"Bedrock Endpoint URL\\\"},\\n \\\"region_name\\\": {\\\"display_name\\\": \\\"AWS Region\\\"},\\n \\\"code\\\": {\\\"show\\\": False},\\n }\\n\\n def build(\\n self,\\n model_id: str = \\\"amazon.titan-embed-text-v1\\\",\\n credentials_profile_name: Optional[str] = None,\\n endpoint_url: Optional[str] = None,\\n region_name: Optional[str] = None,\\n ) -> Embeddings:\\n try:\\n output = BedrockEmbeddings(\\n credentials_profile_name=credentials_profile_name,\\n model_id=model_id,\\n endpoint_url=endpoint_url,\\n region_name=region_name,\\n ) # type: ignore\\n except Exception as e:\\n raise ValueError(\\\"Could not connect to AmazonBedrock API.\\\") from e\\n return output\\n\",\"password\":false,\"name\":\"code\",\"advanced\":false,\"type\":\"code\",\"list\":false},\"_type\":\"CustomComponent\",\"credentials_profile_name\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"password\":false,\"name\":\"credentials_profile_name\",\"display_name\":\"Credentials Profile Name\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"str\",\"list\":false},\"endpoint_url\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"password\":false,\"name\":\"endpoint_url\",\"display_name\":\"Bedrock Endpoint URL\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"str\",\"list\":false},\"model_id\":{\"required\":true,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"value\":\"amazon.titan-embed-text-v1\",\"password\":false,\"options\":[\"amazon.titan-embed-text-v1\"],\"name\":\"model_id\",\"display_name\":\"Model Id\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"str\",\"list\":true},\"region_name\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"password\":false,\"name\":\"region_name\",\"display_name\":\"AWS Region\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"str\",\"list\":false}},\"description\":\"Embeddings model from Amazon Bedrock.\",\"base_classes\":[\"Embeddings\"],\"display_name\":\"Amazon Bedrock Embeddings\",\"custom_fields\":{\"credentials_profile_name\":null,\"endpoint_url\":null,\"model_id\":null,\"region_name\":null},\"output_types\":[\"AmazonBedrockEmbeddings\"],\"documentation\":\"https://python.langchain.com/docs/modules/data_connection/text_embedding/integrations/bedrock\",\"beta\":true,\"error\":null,\"official\":false},\"id\":\"AmazonBedrockEmbeddings-zSZ4t\"},\"id\":\"AmazonBedrockEmbeddings-zSZ4t\",\"position\":{\"x\":0,\"y\":0},\"type\":\"genericNode\"}],\"viewport\":{\"x\":1,\"y\":1,\"zoom\":1}},\"is_component\":true,\"updated_at\":\"2023-12-09T14:06:11.415088\",\"folder\":null,\"id\":\"e9ed1c90-146e-452d-8ccd-ebf2e0da4331\",\"user_id\":\"d253bfba-6368-44dc-85f7-0d6da9e45968\"},{\"name\":\"Amazon Bedrock Embeddings (3)\",\"description\":\"Embeddings model from Amazon Bedrock.\",\"data\":{\"edges\":[],\"nodes\":[{\"data\":{\"type\":\"AmazonBedrockEmbeddings\",\"node\":{\"template\":{\"code\":{\"dynamic\":true,\"required\":true,\"placeholder\":\"\",\"show\":false,\"multiline\":true,\"value\":\"from typing import Optional\\n\\nfrom langchain.embeddings import BedrockEmbeddings\\nfrom langchain.embeddings.base import Embeddings\\nfrom langflow import CustomComponent\\n\\n\\nclass AmazonBedrockEmeddingsComponent(CustomComponent):\\n \\\"\\\"\\\"\\n A custom component for implementing an Embeddings Model using Amazon Bedrock.\\n \\\"\\\"\\\"\\n\\n display_name: str = \\\"Amazon Bedrock Embeddings\\\"\\n description: str = \\\"Embeddings model from Amazon Bedrock.\\\"\\n documentation = \\\"https://python.langchain.com/docs/modules/data_connection/text_embedding/integrations/bedrock\\\"\\n beta = True\\n\\n def build_config(self):\\n return {\\n \\\"model_id\\\": {\\n \\\"display_name\\\": \\\"Model Id\\\",\\n \\\"options\\\": [\\\"amazon.titan-embed-text-v1\\\"],\\n },\\n \\\"credentials_profile_name\\\": {\\\"display_name\\\": \\\"Credentials Profile Name\\\"},\\n \\\"endpoint_url\\\": {\\\"display_name\\\": \\\"Bedrock Endpoint URL\\\"},\\n \\\"region_name\\\": {\\\"display_name\\\": \\\"AWS Region\\\"},\\n \\\"code\\\": {\\\"show\\\": False},\\n }\\n\\n def build(\\n self,\\n model_id: str = \\\"amazon.titan-embed-text-v1\\\",\\n credentials_profile_name: Optional[str] = None,\\n endpoint_url: Optional[str] = None,\\n region_name: Optional[str] = None,\\n ) -> Embeddings:\\n try:\\n output = BedrockEmbeddings(\\n credentials_profile_name=credentials_profile_name,\\n model_id=model_id,\\n endpoint_url=endpoint_url,\\n region_name=region_name,\\n ) # type: ignore\\n except Exception as e:\\n raise ValueError(\\\"Could not connect to AmazonBedrock API.\\\") from e\\n return output\\n\",\"password\":false,\"name\":\"code\",\"advanced\":false,\"type\":\"code\",\"list\":false},\"_type\":\"CustomComponent\",\"credentials_profile_name\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"password\":false,\"name\":\"credentials_profile_name\",\"display_name\":\"Credentials Profile Name\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"str\",\"list\":false},\"endpoint_url\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"password\":false,\"name\":\"endpoint_url\",\"display_name\":\"Bedrock Endpoint URL\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"str\",\"list\":false},\"model_id\":{\"required\":true,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"value\":\"amazon.titan-embed-text-v1\",\"password\":false,\"options\":[\"amazon.titan-embed-text-v1\"],\"name\":\"model_id\",\"display_name\":\"Model Id\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"str\",\"list\":true},\"region_name\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"password\":false,\"name\":\"region_name\",\"display_name\":\"AWS Region\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"str\",\"list\":false}},\"description\":\"Embeddings model from Amazon Bedrock.\",\"base_classes\":[\"Embeddings\"],\"display_name\":\"Amazon Bedrock Embeddings\",\"custom_fields\":{\"credentials_profile_name\":null,\"endpoint_url\":null,\"model_id\":null,\"region_name\":null},\"output_types\":[\"AmazonBedrockEmbeddings\"],\"documentation\":\"https://python.langchain.com/docs/modules/data_connection/text_embedding/integrations/bedrock\",\"beta\":true,\"error\":null,\"official\":false},\"id\":\"AmazonBedrockEmbeddings-Bxhlt\"},\"id\":\"AmazonBedrockEmbeddings-Bxhlt\",\"position\":{\"x\":0,\"y\":0},\"type\":\"genericNode\"}],\"viewport\":{\"x\":1,\"y\":1,\"zoom\":1}},\"is_component\":true,\"updated_at\":\"2023-12-09T14:07:06.411108\",\"folder\":null,\"id\":\"83783c57-64e3-41a6-aa7e-ed82f80f1e53\",\"user_id\":\"d253bfba-6368-44dc-85f7-0d6da9e45968\"},{\"name\":\"CSVLoader (6)\",\"description\":\"Load a `CSV` file into a list of Documents.\",\"data\":{\"edges\":[],\"nodes\":[{\"data\":{\"type\":\"CSVLoader\",\"node\":{\"template\":{\"file_path\":{\"required\":true,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"value\":\"\",\"password\":false,\"name\":\"file_path\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"file\",\"list\":false,\"fileTypes\":[\".csv\"],\"file_path\":null},\"metadata\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"value\":[{\"z2b\":\"z9\"}],\"password\":false,\"name\":\"metadata\",\"display_name\":\"Metadata\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"dict\",\"list\":false},\"_type\":\"CSVLoader\"},\"description\":\"Load a `CSV` file into a list of Documents.\",\"base_classes\":[\"Document\"],\"display_name\":\"CSVLoader\",\"custom_fields\":{},\"output_types\":[\"Document\"],\"documentation\":\"https://python.langchain.com/docs/modules/data_connection/document_loaders/integrations/csv\",\"beta\":false,\"error\":null,\"official\":false},\"id\":\"CSVLoader-2pn2o\"},\"id\":\"CSVLoader-2pn2o\",\"position\":{\"x\":0,\"y\":0},\"type\":\"genericNode\"}],\"viewport\":{\"x\":1,\"y\":1,\"zoom\":1}},\"is_component\":true,\"updated_at\":\"2023-12-09T14:38:30.706258\",\"folder\":null,\"id\":\"c4ae9de6-9df3-4d3c-afc9-1752af4fecd7\",\"user_id\":\"d253bfba-6368-44dc-85f7-0d6da9e45968\"},{\"name\":\"Agent Initializer\",\"description\":\"Initialize a Langchain Agent.\",\"data\":{\"edges\":[],\"nodes\":[{\"data\":{\"type\":\"AgentInitializer\",\"node\":{\"template\":{\"code\":{\"dynamic\":true,\"required\":true,\"placeholder\":\"\",\"show\":true,\"multiline\":true,\"value\":\"from typing import Callable, List, Union\\n\\nfrom langchain.agents import AgentExecutor, AgentType, initialize_agent, types\\n\\nfrom langflow import CustomComponent\\nfrom langflow.field_typing import BaseChatMemory, BaseLanguageModel, Tool\\n\\n\\nclass AgentInitializerComponent(CustomComponent):\\n display_name: str = \\\"Agent Initializer\\\"\\n description: str = \\\"Initialize a Langchain Agent.\\\"\\n documentation: str = \\\"https://python.langchain.com/docs/modules/agents/agent_types/\\\"\\n\\n def build_config(self):\\n agents = list(types.AGENT_TO_CLASS.keys())\\n # field_type and required are optional\\n return {\\n \\\"agent\\\": {\\\"options\\\": agents, \\\"value\\\": agents[0], \\\"display_name\\\": \\\"Agent Type\\\"},\\n \\\"max_iterations\\\": {\\\"display_name\\\": \\\"Max Iterations\\\", \\\"value\\\": 10},\\n \\\"memory\\\": {\\\"display_name\\\": \\\"Memory\\\"},\\n \\\"tools\\\": {\\\"display_name\\\": \\\"Tools\\\"},\\n \\\"llm\\\": {\\\"display_name\\\": \\\"Language Model\\\"},\\n }\\n\\n def build(\\n self, agent: str, llm: BaseLanguageModel, memory: BaseChatMemory, tools: List[Tool], max_iterations: int\\n ) -> Union[AgentExecutor, Callable]:\\n agent = AgentType(agent)\\n return initialize_agent(\\n tools=tools,\\n llm=llm,\\n agent=agent,\\n memory=memory,\\n return_intermediate_steps=True,\\n handle_parsing_errors=True,\\n max_iterations=max_iterations,\\n )\\n\",\"password\":false,\"name\":\"code\",\"advanced\":false,\"type\":\"code\",\"list\":false},\"_type\":\"CustomComponent\",\"agent\":{\"required\":true,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"value\":\"zero-shot-react-description\",\"password\":false,\"options\":[\"zero-shot-react-description\",\"react-docstore\",\"self-ask-with-search\",\"conversational-react-description\",\"chat-zero-shot-react-description\",\"chat-conversational-react-description\",\"structured-chat-zero-shot-react-description\",\"openai-functions\",\"openai-multi-functions\",\"JsonAgent\",\"CSVAgent\",\"AgentInitializer\",\"VectorStoreAgent\",\"VectorStoreRouterAgent\",\"SQLAgent\"],\"name\":\"agent\",\"display_name\":\"Agent Type\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"str\",\"list\":true},\"llm\":{\"required\":true,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"password\":false,\"name\":\"llm\",\"display_name\":\"Language Model\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"BaseLanguageModel\",\"list\":false},\"max_iterations\":{\"required\":true,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"value\":10,\"password\":false,\"name\":\"max_iterations\",\"display_name\":\"Max Iterations\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"int\",\"list\":false},\"memory\":{\"required\":true,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"password\":false,\"name\":\"memory\",\"display_name\":\"Memory\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"BaseChatMemory\",\"list\":false},\"tools\":{\"required\":true,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"password\":false,\"name\":\"tools\",\"display_name\":\"Tools\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"Tool\",\"list\":true}},\"description\":\"Initialize a Langchain Agent.\",\"base_classes\":[\"Chain\",\"AgentExecutor\",\"Callable\"],\"display_name\":\"Agent Initializer\",\"custom_fields\":{\"agent\":null,\"llm\":null,\"max_iterations\":null,\"memory\":null,\"tools\":null},\"output_types\":[\"AgentInitializer\"],\"documentation\":\"https://python.langchain.com/docs/modules/agents/agent_types/\",\"beta\":true,\"error\":null,\"official\":false},\"id\":\"AgentInitializer-MJrAC\"},\"id\":\"AgentInitializer-MJrAC\",\"position\":{\"x\":0,\"y\":0},\"type\":\"genericNode\"}],\"viewport\":{\"x\":1,\"y\":1,\"zoom\":1}},\"is_component\":true,\"updated_at\":\"2023-12-09T14:42:54.715163\",\"folder\":null,\"id\":\"ff84b5f9-5680-4084-a9f1-7d94fe675486\",\"user_id\":\"d253bfba-6368-44dc-85f7-0d6da9e45968\"},{\"name\":\"Agent Initializer (1)\",\"description\":\"Initialize a Langchain Agent.\",\"data\":{\"edges\":[],\"nodes\":[{\"data\":{\"type\":\"AgentInitializer\",\"node\":{\"template\":{\"code\":{\"dynamic\":true,\"required\":true,\"placeholder\":\"\",\"show\":true,\"multiline\":true,\"value\":\"from typing import Callable, List, Union\\n\\nfrom langchain.agents import AgentExecutor, AgentType, initialize_agent, types\\n\\nfrom langflow import CustomComponent\\nfrom langflow.field_typing import BaseChatMemory, BaseLanguageModel, Tool\\n\\n\\nclass AgentInitializerComponent(CustomComponent):\\n display_name: str = \\\"Agent Initializer\\\"\\n description: str = \\\"Initialize a Langchain Agent.\\\"\\n documentation: str = \\\"https://python.langchain.com/docs/modules/agents/agent_types/\\\"\\n\\n def build_config(self):\\n agents = list(types.AGENT_TO_CLASS.keys())\\n # field_type and required are optional\\n return {\\n \\\"agent\\\": {\\\"options\\\": agents, \\\"value\\\": agents[0], \\\"display_name\\\": \\\"Agent Type\\\"},\\n \\\"max_iterations\\\": {\\\"display_name\\\": \\\"Max Iterations\\\", \\\"value\\\": 10},\\n \\\"memory\\\": {\\\"display_name\\\": \\\"Memory\\\"},\\n \\\"tools\\\": {\\\"display_name\\\": \\\"Tools\\\"},\\n \\\"llm\\\": {\\\"display_name\\\": \\\"Language Model\\\"},\\n }\\n\\n def build(\\n self, agent: str, llm: BaseLanguageModel, memory: BaseChatMemory, tools: List[Tool], max_iterations: int\\n ) -> Union[AgentExecutor, Callable]:\\n agent = AgentType(agent)\\n return initialize_agent(\\n tools=tools,\\n llm=llm,\\n agent=agent,\\n memory=memory,\\n return_intermediate_steps=True,\\n handle_parsing_errors=True,\\n max_iterations=max_iterations,\\n )\\n\",\"password\":false,\"name\":\"code\",\"advanced\":false,\"type\":\"code\",\"list\":false},\"_type\":\"CustomComponent\",\"agent\":{\"required\":true,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"value\":\"zero-shot-react-description\",\"password\":false,\"options\":[\"zero-shot-react-description\",\"react-docstore\",\"self-ask-with-search\",\"conversational-react-description\",\"chat-zero-shot-react-description\",\"chat-conversational-react-description\",\"structured-chat-zero-shot-react-description\",\"openai-functions\",\"openai-multi-functions\",\"JsonAgent\",\"CSVAgent\",\"AgentInitializer\",\"VectorStoreAgent\",\"VectorStoreRouterAgent\",\"SQLAgent\"],\"name\":\"agent\",\"display_name\":\"Agent Type\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"str\",\"list\":true},\"llm\":{\"required\":true,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"password\":false,\"name\":\"llm\",\"display_name\":\"Language Model\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"BaseLanguageModel\",\"list\":false},\"max_iterations\":{\"required\":true,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"value\":10,\"password\":false,\"name\":\"max_iterations\",\"display_name\":\"Max Iterations\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"int\",\"list\":false},\"memory\":{\"required\":true,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"password\":false,\"name\":\"memory\",\"display_name\":\"Memory\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"BaseChatMemory\",\"list\":false},\"tools\":{\"required\":true,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"password\":false,\"name\":\"tools\",\"display_name\":\"Tools\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"Tool\",\"list\":true}},\"description\":\"Initialize a Langchain Agent.\",\"base_classes\":[\"Chain\",\"AgentExecutor\",\"Callable\"],\"display_name\":\"Agent Initializer\",\"custom_fields\":{\"agent\":null,\"llm\":null,\"max_iterations\":null,\"memory\":null,\"tools\":null},\"output_types\":[\"AgentInitializer\"],\"documentation\":\"https://python.langchain.com/docs/modules/agents/agent_types/\",\"beta\":true,\"error\":null,\"official\":false},\"id\":\"AgentInitializer-3lcZ4\"},\"id\":\"AgentInitializer-3lcZ4\",\"position\":{\"x\":0,\"y\":0},\"type\":\"genericNode\"}],\"viewport\":{\"x\":1,\"y\":1,\"zoom\":1}},\"is_component\":true,\"updated_at\":\"2023-12-09T14:43:20.819934\",\"folder\":null,\"id\":\"97f5db9f-d6cc-4555-88fb-3be102c67814\",\"user_id\":\"d253bfba-6368-44dc-85f7-0d6da9e45968\"},{\"name\":\"Exuberant Banach\",\"description\":\"Unfolding Linguistic Possibilities.\",\"data\":{\"nodes\":[],\"edges\":[],\"viewport\":{\"zoom\":1,\"x\":0,\"y\":0}},\"is_component\":false,\"updated_at\":\"2023-12-09T14:52:49.951416\",\"folder\":null,\"id\":\"a600acd1-213a-4ce7-8648-ab2ee59f5918\",\"user_id\":\"d253bfba-6368-44dc-85f7-0d6da9e45968\"},{\"name\":\"AirbyteJSONLoader (3)\",\"description\":\"Load local `Airbyte` json files.\",\"data\":{\"edges\":[],\"nodes\":[{\"data\":{\"type\":\"AirbyteJSONLoader\",\"node\":{\"template\":{\"file_path\":{\"required\":true,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"value\":\"\",\"password\":false,\"name\":\"file_path\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"file\",\"list\":false,\"fileTypes\":[\".json\"],\"file_path\":null},\"metadata\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"value\":[{\"\":\"\"}],\"password\":false,\"name\":\"metadata\",\"display_name\":\"Metadata\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"dict\",\"list\":false},\"_type\":\"AirbyteJSONLoader\"},\"description\":\"Load local `Airbyte` json files.\",\"base_classes\":[\"Document\"],\"display_name\":\"AirbyteJSONLoader\",\"custom_fields\":{},\"output_types\":[\"Document\"],\"documentation\":\"https://python.langchain.com/docs/modules/data_connection/document_loaders/integrations/airbyte_json\",\"beta\":false,\"error\":null,\"official\":false},\"id\":\"AirbyteJSONLoader-JhQtx\"},\"id\":\"AirbyteJSONLoader-JhQtx\",\"position\":{\"x\":0,\"y\":0},\"type\":\"genericNode\"}],\"viewport\":{\"x\":1,\"y\":1,\"zoom\":1}},\"is_component\":true,\"updated_at\":\"2023-12-09T14:44:49.587337\",\"folder\":null,\"id\":\"07c52ad7-ca52-4cdd-ab40-74a91dbad0dd\",\"user_id\":\"d253bfba-6368-44dc-85f7-0d6da9e45968\"},{\"name\":\"AirbyteJSONLoader (4)\",\"description\":\"Load local `Airbyte` json files.\",\"data\":{\"edges\":[],\"nodes\":[{\"data\":{\"type\":\"AirbyteJSONLoader\",\"node\":{\"template\":{\"file_path\":{\"required\":true,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"value\":\"\",\"password\":false,\"name\":\"file_path\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"file\",\"list\":false,\"fileTypes\":[\".json\"],\"file_path\":null},\"metadata\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"value\":[{\"\":\"\"}],\"password\":false,\"name\":\"metadata\",\"display_name\":\"Metadata\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"dict\",\"list\":false},\"_type\":\"AirbyteJSONLoader\"},\"description\":\"Load local `Airbyte` json files.\",\"base_classes\":[\"Document\"],\"display_name\":\"AirbyteJSONLoader\",\"custom_fields\":{},\"output_types\":[\"Document\"],\"documentation\":\"https://python.langchain.com/docs/modules/data_connection/document_loaders/integrations/airbyte_json\",\"beta\":false,\"error\":null,\"official\":false},\"id\":\"AirbyteJSONLoader-bIvDc\"},\"id\":\"AirbyteJSONLoader-bIvDc\",\"position\":{\"x\":0,\"y\":0},\"type\":\"genericNode\"}],\"viewport\":{\"x\":1,\"y\":1,\"zoom\":1}},\"is_component\":true,\"updated_at\":\"2023-12-09T14:45:13.458500\",\"folder\":null,\"id\":\"53e4d256-3653-444b-b8e0-fb97b3ae5c7e\",\"user_id\":\"d253bfba-6368-44dc-85f7-0d6da9e45968\"},{\"name\":\"AirbyteJSONLoader (5)\",\"description\":\"Load local `Airbyte` json files.\",\"data\":{\"edges\":[],\"nodes\":[{\"data\":{\"type\":\"AirbyteJSONLoader\",\"node\":{\"template\":{\"file_path\":{\"required\":true,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"value\":\"\",\"password\":false,\"name\":\"file_path\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"file\",\"list\":false,\"fileTypes\":[\".json\"],\"file_path\":null},\"metadata\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"value\":[{\"\":\"\"}],\"password\":false,\"name\":\"metadata\",\"display_name\":\"Metadata\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"dict\",\"list\":false},\"_type\":\"AirbyteJSONLoader\"},\"description\":\"Load local `Airbyte` json files.\",\"base_classes\":[\"Document\"],\"display_name\":\"AirbyteJSONLoader\",\"custom_fields\":{},\"output_types\":[\"Document\"],\"documentation\":\"https://python.langchain.com/docs/modules/data_connection/document_loaders/integrations/airbyte_json\",\"beta\":false,\"error\":null,\"official\":false},\"id\":\"AirbyteJSONLoader-2BLS8\"},\"id\":\"AirbyteJSONLoader-2BLS8\",\"position\":{\"x\":0,\"y\":0},\"type\":\"genericNode\"}],\"viewport\":{\"x\":1,\"y\":1,\"zoom\":1}},\"is_component\":true,\"updated_at\":\"2023-12-09T14:45:44.461699\",\"folder\":null,\"id\":\"b5158cc1-c6b8-4e25-907a-bc7e7637aa38\",\"user_id\":\"d253bfba-6368-44dc-85f7-0d6da9e45968\"},{\"name\":\"Amazon Bedrock Embeddings (4)\",\"description\":\"Embeddings model from Amazon Bedrock.\",\"data\":{\"edges\":[],\"nodes\":[{\"data\":{\"type\":\"AmazonBedrockEmbeddings\",\"node\":{\"template\":{\"code\":{\"dynamic\":true,\"required\":true,\"placeholder\":\"\",\"show\":false,\"multiline\":true,\"value\":\"from typing import Optional\\n\\nfrom langchain.embeddings import BedrockEmbeddings\\nfrom langchain.embeddings.base import Embeddings\\nfrom langflow import CustomComponent\\n\\n\\nclass AmazonBedrockEmeddingsComponent(CustomComponent):\\n \\\"\\\"\\\"\\n A custom component for implementing an Embeddings Model using Amazon Bedrock.\\n \\\"\\\"\\\"\\n\\n display_name: str = \\\"Amazon Bedrock Embeddings\\\"\\n description: str = \\\"Embeddings model from Amazon Bedrock.\\\"\\n documentation = \\\"https://python.langchain.com/docs/modules/data_connection/text_embedding/integrations/bedrock\\\"\\n beta = True\\n\\n def build_config(self):\\n return {\\n \\\"model_id\\\": {\\n \\\"display_name\\\": \\\"Model Id\\\",\\n \\\"options\\\": [\\\"amazon.titan-embed-text-v1\\\"],\\n },\\n \\\"credentials_profile_name\\\": {\\\"display_name\\\": \\\"Credentials Profile Name\\\"},\\n \\\"endpoint_url\\\": {\\\"display_name\\\": \\\"Bedrock Endpoint URL\\\"},\\n \\\"region_name\\\": {\\\"display_name\\\": \\\"AWS Region\\\"},\\n \\\"code\\\": {\\\"show\\\": False},\\n }\\n\\n def build(\\n self,\\n model_id: str = \\\"amazon.titan-embed-text-v1\\\",\\n credentials_profile_name: Optional[str] = None,\\n endpoint_url: Optional[str] = None,\\n region_name: Optional[str] = None,\\n ) -> Embeddings:\\n try:\\n output = BedrockEmbeddings(\\n credentials_profile_name=credentials_profile_name,\\n model_id=model_id,\\n endpoint_url=endpoint_url,\\n region_name=region_name,\\n ) # type: ignore\\n except Exception as e:\\n raise ValueError(\\\"Could not connect to AmazonBedrock API.\\\") from e\\n return output\\n\",\"password\":false,\"name\":\"code\",\"advanced\":false,\"type\":\"code\",\"list\":false},\"_type\":\"CustomComponent\",\"credentials_profile_name\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"password\":false,\"name\":\"credentials_profile_name\",\"display_name\":\"Credentials Profile Name\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"str\",\"list\":false},\"endpoint_url\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"password\":false,\"name\":\"endpoint_url\",\"display_name\":\"Bedrock Endpoint URL\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"str\",\"list\":false},\"model_id\":{\"required\":true,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"value\":\"amazon.titan-embed-text-v1\",\"password\":false,\"options\":[\"amazon.titan-embed-text-v1\"],\"name\":\"model_id\",\"display_name\":\"Model Id\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"str\",\"list\":true},\"region_name\":{\"required\":false,\"placeholder\":\"\",\"show\":true,\"multiline\":false,\"password\":false,\"name\":\"region_name\",\"display_name\":\"AWS Region\",\"advanced\":false,\"dynamic\":false,\"info\":\"\",\"type\":\"str\",\"list\":false}},\"description\":\"Embeddings model from Amazon Bedrock.\",\"base_classes\":[\"Embeddings\"],\"display_name\":\"Amazon Bedrock Embeddings\",\"custom_fields\":{\"credentials_profile_name\":null,\"endpoint_url\":null,\"model_id\":null,\"region_name\":null},\"output_types\":[\"AmazonBedrockEmbeddings\"],\"documentation\":\"https://python.langchain.com/docs/modules/data_connection/text_embedding/integrations/bedrock\",\"beta\":true,\"error\":null,\"official\":false},\"id\":\"AmazonBedrockEmbeddings-NsBzN\"},\"id\":\"AmazonBedrockEmbeddings-NsBzN\",\"position\":{\"x\":0,\"y\":0},\"type\":\"genericNode\"}],\"viewport\":{\"x\":1,\"y\":1,\"zoom\":1}},\"is_component\":true,\"updated_at\":\"2023-12-09T14:50:29.791575\",\"folder\":null,\"id\":\"3fb77f72-1be7-4ce0-ae89-a82b0eee9acf\",\"user_id\":\"d253bfba-6368-44dc-85f7-0d6da9e45968\"},{\"name\":\"Evil Golick\",\"description\":\"Where Language Meets Logic.\",\"data\":{\"nodes\":[],\"edges\":[],\"viewport\":{\"zoom\":1,\"x\":0,\"y\":0}},\"is_component\":false,\"updated_at\":\"2023-12-11T18:19:02.707854\",\"folder\":null,\"id\":\"9c5d21c2-ea82-4cf4-a591-c3d3fd3f13e6\",\"user_id\":\"d253bfba-6368-44dc-85f7-0d6da9e45968\"},{\"name\":\"Gleeful Davinci (1)\",\"description\":\"Unleashing Linguistic Creativity.\",\"data\":{\"nodes\":[],\"edges\":[],\"viewport\":{\"zoom\":1,\"x\":0,\"y\":0}},\"is_component\":false,\"updated_at\":\"2023-12-11T18:19:02.761150\",\"folder\":null,\"id\":\"f8e2e16e-129c-4116-9626-2c6b524d97b7\",\"user_id\":\"d253bfba-6368-44dc-85f7-0d6da9e45968\"},{\"name\":\"Effervescent Degrasse\",\"description\":\"Language Models, Mapped and Mastered.\",\"data\":{\"nodes\":[],\"edges\":[],\"viewport\":{\"zoom\":1,\"x\":0,\"y\":0}},\"is_component\":false,\"updated_at\":\"2023-12-11T18:19:02.764440\",\"folder\":null,\"id\":\"d7f4f7b5-effe-4834-8cab-4f2fc4f6e9de\",\"user_id\":\"d253bfba-6368-44dc-85f7-0d6da9e45968\"},{\"name\":\"Prickly Archimedes\",\"description\":\"Language Chainlink Master.\",\"data\":{\"nodes\":[],\"edges\":[],\"viewport\":{\"zoom\":1,\"x\":0,\"y\":0}},\"is_component\":false,\"updated_at\":\"2023-12-11T18:19:02.767546\",\"folder\":null,\"id\":\"2265d813-4a87-410f-b06a-65e35db8219e\",\"user_id\":\"d253bfba-6368-44dc-85f7-0d6da9e45968\"},{\"name\":\"Boring Heyrovsky\",\"description\":\"Building Intelligent Interactions.\",\"data\":{\"nodes\":[],\"edges\":[],\"viewport\":{\"zoom\":1,\"x\":0,\"y\":0}},\"is_component\":false,\"updated_at\":\"2023-12-11T18:19:02.765105\",\"folder\":null,\"id\":\"10bfd881-e67e-4c33-965d-ee041695edce\",\"user_id\":\"d253bfba-6368-44dc-85f7-0d6da9e45968\"},{\"name\":\"Nostalgic Carroll\",\"description\":\"Unfolding Linguistic Possibilities.\",\"data\":{\"nodes\":[],\"edges\":[],\"viewport\":{\"zoom\":1,\"x\":0,\"y\":0}},\"is_component\":false,\"updated_at\":\"2023-12-11T18:19:02.811794\",\"folder\":null,\"id\":\"63fa5653-4513-47f2-8dfa-baeb1d981f93\",\"user_id\":\"d253bfba-6368-44dc-85f7-0d6da9e45968\"},{\"name\":\"Pensive Perlman\",\"description\":\"Empowering Communication, Enabling Opportunities.\",\"data\":{\"nodes\":[],\"edges\":[],\"viewport\":{\"zoom\":1,\"x\":0,\"y\":0}},\"is_component\":false,\"updated_at\":\"2023-12-11T18:19:02.814993\",\"folder\":null,\"id\":\"f4bc5945-20d9-4703-a5bb-6a4a3ef7fc8e\",\"user_id\":\"d253bfba-6368-44dc-85f7-0d6da9e45968\"},{\"name\":\"Hilarious Stallman\",\"description\":\"Connect the Dots, Craft Language.\",\"data\":{\"nodes\":[],\"edges\":[],\"viewport\":{\"zoom\":1,\"x\":0,\"y\":0}},\"is_component\":false,\"updated_at\":\"2023-12-11T18:19:02.813144\",\"folder\":null,\"id\":\"8d8b80f9-4b74-4cd5-bc5c-08a32c4d2b95\",\"user_id\":\"d253bfba-6368-44dc-85f7-0d6da9e45968\"},{\"name\":\"Awesome Einstein\",\"description\":\"The Power of Language at Your Fingertips.\",\"data\":{\"nodes\":[],\"edges\":[],\"viewport\":{\"zoom\":1,\"x\":0,\"y\":0}},\"is_component\":false,\"updated_at\":\"2023-12-11T18:20:19.518262\",\"folder\":null,\"id\":\"21808fd7-a492-4e29-8863-301c2785f542\",\"user_id\":\"d253bfba-6368-44dc-85f7-0d6da9e45968\"},{\"name\":\"Funky Swanson\",\"description\":\"Sculpting Language with Precision.\",\"data\":{\"nodes\":[],\"edges\":[],\"viewport\":{\"zoom\":1,\"x\":0,\"y\":0}},\"is_component\":false,\"updated_at\":\"2023-12-11T18:20:20.185637\",\"folder\":null,\"id\":\"7752299a-4aa9-44db-8d9c-5c4a2ac1b071\",\"user_id\":\"d253bfba-6368-44dc-85f7-0d6da9e45968\"},{\"name\":\"Romantic Pascal\",\"description\":\"Unlock the Power of AI in Your Business Conversations.\",\"data\":{\"nodes\":[],\"edges\":[],\"viewport\":{\"zoom\":1,\"x\":0,\"y\":0}},\"is_component\":false,\"updated_at\":\"2023-12-11T18:20:20.223064\",\"folder\":null,\"id\":\"78f48a13-6a9f-42ce-9d58-ec9b63b381d2\",\"user_id\":\"d253bfba-6368-44dc-85f7-0d6da9e45968\"},{\"name\":\"Twinkly Bartik\",\"description\":\"Sculpting Language with Precision.\",\"data\":{\"nodes\":[],\"edges\":[],\"viewport\":{\"zoom\":1,\"x\":0,\"y\":0}},\"is_component\":false,\"updated_at\":\"2023-12-11T18:20:20.239758\",\"folder\":null,\"id\":\"38074091-3d7c-4d42-b61b-ae195c1b8a4e\",\"user_id\":\"d253bfba-6368-44dc-85f7-0d6da9e45968\"},{\"name\":\"Condescending Joliot\",\"description\":\"Language Models, Unleashed.\",\"data\":{\"nodes\":[],\"edges\":[],\"viewport\":{\"zoom\":1,\"x\":0,\"y\":0}},\"is_component\":false,\"updated_at\":\"2023-12-11T18:20:20.271996\",\"folder\":null,\"id\":\"773020aa-5c2d-4632-ad9e-21276861ab93\",\"user_id\":\"d253bfba-6368-44dc-85f7-0d6da9e45968\"},{\"name\":\"Gleeful Kalam\",\"description\":\"The Power of Language at Your Fingertips.\",\"data\":{\"nodes\":[],\"edges\":[],\"viewport\":{\"zoom\":1,\"x\":0,\"y\":0}},\"is_component\":false,\"updated_at\":\"2023-12-11T18:20:20.283929\",\"folder\":null,\"id\":\"0092d077-6d31-401f-a739-b164476b90ed\",\"user_id\":\"d253bfba-6368-44dc-85f7-0d6da9e45968\"},{\"name\":\"Grinning Bhabha\",\"description\":\"Your Passport to Linguistic Landscapes.\",\"data\":{\"nodes\":[],\"edges\":[],\"viewport\":{\"zoom\":1,\"x\":0,\"y\":0}},\"is_component\":false,\"updated_at\":\"2023-12-11T18:20:20.467739\",\"folder\":null,\"id\":\"4a395211-712d-4dd2-b3bb-e6b19200f15d\",\"user_id\":\"d253bfba-6368-44dc-85f7-0d6da9e45968\"},{\"name\":\"Mirthful Babbage\",\"description\":\"Design Dialogues with Langflow.\",\"data\":{\"nodes\":[],\"edges\":[],\"viewport\":{\"zoom\":1,\"x\":0,\"y\":0}},\"is_component\":false,\"updated_at\":\"2023-12-11T18:20:20.742990\",\"folder\":null,\"id\":\"3f086a82-3e29-4328-9da8-e02dc9201744\",\"user_id\":\"d253bfba-6368-44dc-85f7-0d6da9e45968\"},{\"name\":\"Tiny Volta\",\"description\":\"Nurture NLP Nodes Here.\",\"data\":{\"nodes\":[],\"edges\":[],\"viewport\":{\"zoom\":1,\"x\":0,\"y\":0}},\"is_component\":false,\"updated_at\":\"2023-12-11T18:24:18.594247\",\"folder\":null,\"id\":\"659b8289-c8e8-413d-9b2b-51e68411f170\",\"user_id\":\"d253bfba-6368-44dc-85f7-0d6da9e45968\"},{\"name\":\"Radiant Jennings\",\"description\":\"Design, Develop, Dialogize.\",\"data\":{\"nodes\":[],\"edges\":[],\"viewport\":{\"zoom\":1,\"x\":0,\"y\":0}},\"is_component\":false,\"updated_at\":\"2023-12-11T18:24:42.640309\",\"folder\":null,\"id\":\"f55f0640-d47e-4471-b1ba-3411d38ecac5\",\"user_id\":\"d253bfba-6368-44dc-85f7-0d6da9e45968\"},{\"name\":\"Distracted Shaw\",\"description\":\"Interactive Language Weaving.\",\"data\":{\"nodes\":[],\"edges\":[],\"viewport\":{\"zoom\":1,\"x\":0,\"y\":0}},\"is_component\":false,\"updated_at\":\"2023-12-11T18:24:58.376247\",\"folder\":null,\"id\":\"a039811e-449a-4244-83ed-4ddd731a0921\",\"user_id\":\"d253bfba-6368-44dc-85f7-0d6da9e45968\"},{\"name\":\"Peppy Murdock (1)\",\"description\":\"Language Chainlink Master.\",\"data\":{\"nodes\":[],\"edges\":[],\"viewport\":{\"zoom\":1,\"x\":0,\"y\":0}},\"is_component\":false,\"updated_at\":\"2023-12-11T18:25:14.674524\",\"folder\":null,\"id\":\"0faf6144-6ca6-4f64-a343-665ae54774ef\",\"user_id\":\"d253bfba-6368-44dc-85f7-0d6da9e45968\"},{\"name\":\"Lively Volta\",\"description\":\"Language Models, Mapped and Mastered.\",\"data\":{\"nodes\":[],\"edges\":[],\"viewport\":{\"zoom\":1,\"x\":0,\"y\":0}},\"is_component\":false,\"updated_at\":\"2023-12-11T18:26:50.418029\",\"folder\":null,\"id\":\"c5d149d0-c401-4f5e-b79f-2abcc7b8d98d\",\"user_id\":\"d253bfba-6368-44dc-85f7-0d6da9e45968\"},{\"name\":\"Bubbly Curie\",\"description\":\"Navigate the Networks of Conversation.\",\"data\":{\"nodes\":[],\"edges\":[],\"viewport\":{\"zoom\":1,\"x\":0,\"y\":0}},\"is_component\":false,\"updated_at\":\"2023-12-11T18:27:10.900899\",\"folder\":null,\"id\":\"7bb2d226-9740-433d-861f-a499632c5a13\",\"user_id\":\"d253bfba-6368-44dc-85f7-0d6da9e45968\"},{\"name\":\"Radiant Nobel\",\"description\":\"Navigate the Linguistic Landscape, Discover Opportunities.\",\"data\":{\"nodes\":[],\"edges\":[],\"viewport\":{\"zoom\":1,\"x\":0,\"y\":0}},\"is_component\":false,\"updated_at\":\"2023-12-11T18:29:11.541630\",\"folder\":null,\"id\":\"947906d8-75ea-470c-a8e2-cc80c5d3bdbb\",\"user_id\":\"d253bfba-6368-44dc-85f7-0d6da9e45968\"},{\"name\":\"Cheerful Northcutt\",\"description\":\"Unleashing Business Potential through Language Engineering.\",\"data\":{\"nodes\":[],\"edges\":[],\"viewport\":{\"zoom\":1,\"x\":0,\"y\":0}},\"is_component\":false,\"updated_at\":\"2023-12-11T18:29:37.169791\",\"folder\":null,\"id\":\"56f109fd-2c18-42ed-a9b2-089a678a0c11\",\"user_id\":\"d253bfba-6368-44dc-85f7-0d6da9e45968\"},{\"name\":\"Suspicious Khayyam\",\"description\":\"Crafting Dialogues that Drive Business Success.\",\"data\":{\"nodes\":[],\"edges\":[],\"viewport\":{\"zoom\":1,\"x\":0,\"y\":0}},\"is_component\":false,\"updated_at\":\"2023-12-11T18:30:24.686359\",\"folder\":null,\"id\":\"551d7bfa-49aa-43f1-a779-e47eabc2aaf2\",\"user_id\":\"d253bfba-6368-44dc-85f7-0d6da9e45968\"},{\"name\":\"Twinkly Spence\",\"description\":\"Create, Curate, Communicate with Langflow.\",\"data\":{\"nodes\":[],\"edges\":[],\"viewport\":{\"zoom\":1,\"x\":0,\"y\":0}},\"is_component\":false,\"updated_at\":\"2023-12-11T18:30:47.738472\",\"folder\":null,\"id\":\"12aef128-130e-492e-bf84-62d4cb4cd456\",\"user_id\":\"d253bfba-6368-44dc-85f7-0d6da9e45968\"},{\"name\":\"Mirthful Lavoisier\",\"description\":\"Nurture NLP Nodes Here.\",\"data\":{\"nodes\":[],\"edges\":[],\"viewport\":{\"zoom\":1,\"x\":0,\"y\":0}},\"is_component\":false,\"updated_at\":\"2023-12-11T18:31:43.272365\",\"folder\":null,\"id\":\"9952c044-6903-4fba-a270-6ed0b90c93c9\",\"user_id\":\"d253bfba-6368-44dc-85f7-0d6da9e45968\"},{\"name\":\"Upbeat Bose\",\"description\":\"Unravel the Art of Articulation.\",\"data\":{\"nodes\":[],\"edges\":[],\"viewport\":{\"zoom\":1,\"x\":0,\"y\":0}},\"is_component\":false,\"updated_at\":\"2023-12-11T18:32:23.972035\",\"folder\":null,\"id\":\"65f49582-c9fa-4c67-a2bc-4e8fa73ca731\",\"user_id\":\"d253bfba-6368-44dc-85f7-0d6da9e45968\"},{\"name\":\"Tender Perlman\",\"description\":\"Maximize Impact with Intelligent Conversations.\",\"data\":{\"nodes\":[],\"edges\":[],\"viewport\":{\"zoom\":1,\"x\":0,\"y\":0}},\"is_component\":false,\"updated_at\":\"2023-12-11T18:33:26.984083\",\"folder\":null,\"id\":\"9ae57fe2-c677-47fa-a059-7d3d915a1178\",\"user_id\":\"d253bfba-6368-44dc-85f7-0d6da9e45968\"},{\"name\":\"Sharp Cori\",\"description\":\"Conversation Catalyst Engine.\",\"data\":{\"nodes\":[],\"edges\":[],\"viewport\":{\"zoom\":1,\"x\":0,\"y\":0}},\"is_component\":false,\"updated_at\":\"2023-12-11T18:33:52.377359\",\"folder\":null,\"id\":\"2920dde2-5c24-4fe0-9c06-ef86b5a16a99\",\"user_id\":\"d253bfba-6368-44dc-85f7-0d6da9e45968\"}]" }, "headersSize": -1, "bodySize": -1, @@ -552,16 +648,31 @@ { "name": "Accept", "value": "application/json, text/plain, */*" }, { "name": "Accept-Encoding", "value": "gzip, deflate, br" }, { "name": "Accept-Language", "value": "en-US,en;q=0.9" }, - { "name": "Authorization", "value": "Bearer eyJhbGciOiJIUzI1NiIsInR5cCI6IkpXVCJ9.eyJzdWIiOiJkMjUzYmZiYS02MzY4LTQ0ZGMtODVmNy0wZDZkYTllNDU5NjgiLCJleHAiOjE3MzM4NTY4OTh9.5MFFb0JCck3ITSKXbxhwO9yAscnXcwXNTV70ZYBRB20" }, + { + "name": "Authorization", + "value": "Bearer eyJhbGciOiJIUzI1NiIsInR5cCI6IkpXVCJ9.eyJzdWIiOiJkMjUzYmZiYS02MzY4LTQ0ZGMtODVmNy0wZDZkYTllNDU5NjgiLCJleHAiOjE3MzM4NTY4OTh9.5MFFb0JCck3ITSKXbxhwO9yAscnXcwXNTV70ZYBRB20" + }, { "name": "Connection", "value": "keep-alive" }, - { "name": "Cookie", "value": "access_tkn_lflw=eyJhbGciOiJIUzI1NiIsInR5cCI6IkpXVCJ9.eyJzdWIiOiJkMjUzYmZiYS02MzY4LTQ0ZGMtODVmNy0wZDZkYTllNDU5NjgiLCJleHAiOjE3MzM4NTY4OTh9.5MFFb0JCck3ITSKXbxhwO9yAscnXcwXNTV70ZYBRB20; refresh_tkn_lflw=auto" }, + { + "name": "Cookie", + "value": "access_tkn_lflw=eyJhbGciOiJIUzI1NiIsInR5cCI6IkpXVCJ9.eyJzdWIiOiJkMjUzYmZiYS02MzY4LTQ0ZGMtODVmNy0wZDZkYTllNDU5NjgiLCJleHAiOjE3MzM4NTY4OTh9.5MFFb0JCck3ITSKXbxhwO9yAscnXcwXNTV70ZYBRB20; refresh_tkn_lflw=auto" + }, { "name": "Host", "value": "localhost:3000" }, - { "name": "Referer", "value": "http://localhost:3000/flow/2920dde2-5c24-4fe0-9c06-ef86b5a16a99" }, + { + "name": "Referer", + "value": "http://localhost:3000/flow/2920dde2-5c24-4fe0-9c06-ef86b5a16a99" + }, { "name": "Sec-Fetch-Dest", "value": "empty" }, { "name": "Sec-Fetch-Mode", "value": "cors" }, { "name": "Sec-Fetch-Site", "value": "same-origin" }, - { "name": "User-Agent", "value": "Mozilla/5.0 (X11; Linux x86_64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/119.0.0.0 Safari/537.36" }, - { "name": "sec-ch-ua", "value": "\"Chromium\";v=\"119\", \"Not?A_Brand\";v=\"24\"" }, + { + "name": "User-Agent", + "value": "Mozilla/5.0 (X11; Linux x86_64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/119.0.0.0 Safari/537.36" + }, + { + "name": "sec-ch-ua", + "value": "\"Chromium\";v=\"119\", \"Not?A_Brand\";v=\"24\"" + }, { "name": "sec-ch-ua-mobile", "value": "?0" }, { "name": "sec-ch-ua-platform", "value": "\"Linux\"" } ], @@ -596,4 +707,4 @@ } ] } -} \ No newline at end of file +} diff --git a/poetry.lock b/poetry.lock index feb0728da..583f1ee6c 100644 --- a/poetry.lock +++ b/poetry.lock @@ -1,4 +1,4 @@ -# This file is automatically @generated by Poetry 1.8.2 and should not be changed by hand. +# This file is automatically @generated by Poetry 1.8.3 and should not be changed by hand. [[package]] name = "aiohttp" @@ -156,30 +156,31 @@ vine = ">=5.0.0,<6.0.0" [[package]] name = "annotated-types" -version = "0.6.0" +version = "0.7.0" description = "Reusable constraint types to use with typing.Annotated" optional = false python-versions = ">=3.8" files = [ - {file = "annotated_types-0.6.0-py3-none-any.whl", hash = "sha256:0641064de18ba7a25dee8f96403ebc39113d0cb953a01429249d5c7564666a43"}, - {file = "annotated_types-0.6.0.tar.gz", hash = "sha256:563339e807e53ffd9c267e99fc6d9ea23eb8443c08f112651963e24e22f84a5d"}, + {file = "annotated_types-0.7.0-py3-none-any.whl", hash = "sha256:1f02e8b43a8fbbc3f3e0d4f0f4bfc8131bcb4eebe8849b8e5c773f3a1c582a53"}, + {file = "annotated_types-0.7.0.tar.gz", hash = "sha256:aff07c09a53a08bc8cfccb9c85b05f1aa9a2a6f23728d790723543408344ce89"}, ] [[package]] name = "anthropic" -version = "0.25.5" +version = "0.26.1" description = "The official Python library for the anthropic API" optional = false python-versions = ">=3.7" files = [ - {file = "anthropic-0.25.5-py3-none-any.whl", hash = "sha256:8665a8aee45be6a1f0664b2f8fd740f5b60d5a88fab62f0e647105d769a5c9dd"}, - {file = "anthropic-0.25.5.tar.gz", hash = "sha256:bc64a17f18a967fae4254bd7464f5c4d39951dacceff22e823434216c4731e38"}, + {file = "anthropic-0.26.1-py3-none-any.whl", hash = "sha256:2812b9b250b551ed8a1f0a7e6ae3f005654098994f45ebca5b5808bd154c9628"}, + {file = "anthropic-0.26.1.tar.gz", hash = "sha256:26680ff781a6f678a30a1dccd0743631e602b23a47719439ffdef5335fa167d8"}, ] [package.dependencies] anyio = ">=3.5.0,<5" distro = ">=1.7.0,<2" httpx = ">=0.23.0,<1" +jiter = ">=0.1.0,<1" pydantic = ">=1.9.0,<3" sniffio = "*" tokenizers = ">=0.13.0" @@ -365,13 +366,13 @@ files = [ [[package]] name = "bce-python-sdk" -version = "0.9.6" +version = "0.9.11" description = "BCE SDK for python" optional = false python-versions = "!=3.0.*,!=3.1.*,!=3.2.*,<4,>=2.7" files = [ - {file = "bce-python-sdk-0.9.6.tar.gz", hash = "sha256:13d2c6d15582391b9d1a4252add28a6a41cf4acc33b53dc38dd7b5a79fd8ed5d"}, - {file = "bce_python_sdk-0.9.6-py3-none-any.whl", hash = "sha256:b43e10becad4490e639f84be982f97a499bdc0d3485f1f8859a4eb9ad58b03c4"}, + {file = "bce_python_sdk-0.9.11-py3-none-any.whl", hash = "sha256:3afb9717f6c0c5f5fe3104a8bea4c111bf2ab3fe87ae73b05492566bc2b5d11a"}, + {file = "bce_python_sdk-0.9.11.tar.gz", hash = "sha256:d9e977f059fef6466eebdbb34ad1e27b6f76ef90338807ab959693a78a761e7d"}, ] [package.dependencies] @@ -458,28 +459,28 @@ files = [ [[package]] name = "blinker" -version = "1.7.0" +version = "1.8.2" description = "Fast, simple object-to-object and broadcast signaling" optional = false python-versions = ">=3.8" files = [ - {file = "blinker-1.7.0-py3-none-any.whl", hash = "sha256:c3f865d4d54db7abc53758a01601cf343fe55b84c1de4e3fa910e420b438d5b9"}, - {file = "blinker-1.7.0.tar.gz", hash = "sha256:e6820ff6fa4e4d1d8e2747c2283749c3f547e4fee112b98555cdcdae32996182"}, + {file = "blinker-1.8.2-py3-none-any.whl", hash = "sha256:1779309f71bf239144b9399d06ae925637cf6634cf6bd131104184531bf67c01"}, + {file = "blinker-1.8.2.tar.gz", hash = "sha256:8f77b09d3bf7c795e969e9486f39c2c5e9c39d4ee07424be2bc594ece9642d83"}, ] [[package]] name = "boto3" -version = "1.34.86" +version = "1.34.111" description = "The AWS SDK for Python" optional = false python-versions = ">=3.8" files = [ - {file = "boto3-1.34.86-py3-none-any.whl", hash = "sha256:be594c449a0079bd1898ba1b7d90e0e5ac6b5803b2ada03993da01179073808d"}, - {file = "boto3-1.34.86.tar.gz", hash = "sha256:992ba74459fef2bf1572050408db73d33c43e7531d81bda85a027f39156926a1"}, + {file = "boto3-1.34.111-py3-none-any.whl", hash = "sha256:d6a8e77db316c6e1d9a25f77c795ed1e0a8bc621f863ce26d04b2225d30f2dce"}, + {file = "boto3-1.34.111.tar.gz", hash = "sha256:8f18d212b9199dbbd9d596dd5929685b583ac938c60cceeac2e045c0c5d10323"}, ] [package.dependencies] -botocore = ">=1.34.86,<1.35.0" +botocore = ">=1.34.111,<1.35.0" jmespath = ">=0.7.1,<2.0.0" s3transfer = ">=0.10.0,<0.11.0" @@ -488,13 +489,13 @@ crt = ["botocore[crt] (>=1.21.0,<2.0a0)"] [[package]] name = "botocore" -version = "1.34.86" +version = "1.34.111" description = "Low-level, data-driven core of boto 3." optional = false python-versions = ">=3.8" files = [ - {file = "botocore-1.34.86-py3-none-any.whl", hash = "sha256:57c1e3b2e1db745d22c45cbd761bbc0c143d2cfc2b532e3245cf5d874aa30b6d"}, - {file = "botocore-1.34.86.tar.gz", hash = "sha256:2fd62b63d8788e15629bfc95be1bd2d99c0da6c1d45ef1f40c0a0101e412f6b5"}, + {file = "botocore-1.34.111-py3-none-any.whl", hash = "sha256:e10affb7f372d50da957260adf2753a3f153bf90abe6910e11f09d1e443b5515"}, + {file = "botocore-1.34.111.tar.gz", hash = "sha256:0e0fb9b605c46393d5c7c69bd516b36058334bdc8f389e680c6efcf0727f25db"}, ] [package.dependencies] @@ -682,13 +683,13 @@ graph = ["gremlinpython (==3.4.6)"] [[package]] name = "cassio" -version = "0.1.6" +version = "0.1.7" description = "A framework-agnostic Python library to seamlessly integrate Apache Cassandra(R) with ML/LLM/genAI workloads." optional = false python-versions = "<4.0,>=3.8" files = [ - {file = "cassio-0.1.6-py3-none-any.whl", hash = "sha256:2ab767da43acdd850b2fb0eead7f0fd9cbb2884bb3864c6b0721dd589cbfe23a"}, - {file = "cassio-0.1.6.tar.gz", hash = "sha256:338ed89bd3dfdd7225b72ae70af2d7e058eb30582814b9f146a70f84a8d345f7"}, + {file = "cassio-0.1.7-py3-none-any.whl", hash = "sha256:08d1028a20d09bd207de0e17eaf7ae821b3c8e4788555e2d337aa440e0846d87"}, + {file = "cassio-0.1.7.tar.gz", hash = "sha256:44f705dff8a9a1c48527db2c9e968686358c960fa21ba940d9e66de00639ad78"}, ] [package.dependencies] @@ -828,6 +829,17 @@ files = [ [package.dependencies] pycparser = "*" +[[package]] +name = "cfgv" +version = "3.4.0" +description = "Validate configuration and produce human readable error messages." +optional = false +python-versions = ">=3.8" +files = [ + {file = "cfgv-3.4.0-py2.py3-none-any.whl", hash = "sha256:b7265b1f29fd3316bfcd2b330d63d024f2bfd8bcb8b0272f8e19a504856c48f9"}, + {file = "cfgv-3.4.0.tar.gz", hash = "sha256:e52591d4c5f5dead8e0f673fb16db7949d2cfb3f7da4582893288f0ded8fe560"}, +] + [[package]] name = "chardet" version = "5.2.0" @@ -1150,22 +1162,23 @@ types = ["chardet (>=5.1.0)", "mypy", "pytest", "pytest-cov", "pytest-dependency [[package]] name = "cohere" -version = "5.3.2" +version = "5.5.0" description = "" optional = false python-versions = "<4.0,>=3.8" files = [ - {file = "cohere-5.3.2-py3-none-any.whl", hash = "sha256:98fe701966f2f39a51f86d3827339576491ecfda080ed6e9710109c3245a5c73"}, - {file = "cohere-5.3.2.tar.gz", hash = "sha256:337905bd7bd7f3958ab4db3029d3d2abc43f789c957b0deff0d603d8fabc4838"}, + {file = "cohere-5.5.0-py3-none-any.whl", hash = "sha256:7792e8898c95f2cb955b2d9f23b8602f73f3b698d59f1a1b4896c53809671da0"}, + {file = "cohere-5.5.0.tar.gz", hash = "sha256:00b492ebf8921e83cb2371f2ee36ddf301422daae3024343a87d4316f02b711b"}, ] [package.dependencies] +boto3 = ">=1.34.0,<2.0.0" fastavro = ">=1.9.4,<2.0.0" httpx = ">=0.21.2" httpx-sse = ">=0.4.0,<0.5.0" pydantic = ">=1.9.2" requests = ">=2.0.0,<3.0.0" -tokenizers = ">=0.15.2,<0.16.0" +tokenizers = ">=0.19,<0.20" types-requests = ">=2.0.0,<3.0.0" typing_extensions = ">=4.0.0" @@ -1180,17 +1193,6 @@ files = [ {file = "colorama-0.4.6.tar.gz", hash = "sha256:08695f5cb7ed6e0531a20572697297273c47b8cae5a63ffc6d6ed5c201be6e44"}, ] -[[package]] -name = "colorclass" -version = "2.2.2" -description = "Colorful worry-free console applications for Linux, Mac OS X, and Windows." -optional = false -python-versions = ">=2.6" -files = [ - {file = "colorclass-2.2.2-py2.py3-none-any.whl", hash = "sha256:6f10c273a0ef7a1150b1120b6095cbdd68e5cf36dfd5d0fc957a2500bbf99a55"}, - {file = "colorclass-2.2.2.tar.gz", hash = "sha256:6d4fe287766166a98ca7bc6f6312daf04a0481b1eda43e7173484051c0ab4366"}, -] - [[package]] name = "coloredlogs" version = "15.0.1" @@ -1242,16 +1244,6 @@ traitlets = ">=4" [package.extras] test = ["pytest"] -[[package]] -name = "compressed-rtf" -version = "1.0.6" -description = "Compressed Rich Text Format (RTF) compression and decompression package" -optional = false -python-versions = "*" -files = [ - {file = "compressed_rtf-1.0.6.tar.gz", hash = "sha256:c1c827f1d124d24608981a56e8b8691eb1f2a69a78ccad6440e7d92fde1781dd"}, -] - [[package]] name = "configargparse" version = "1.7" @@ -1267,65 +1259,99 @@ files = [ test = ["PyYAML", "mock", "pytest"] yaml = ["PyYAML"] +[[package]] +name = "couchbase" +version = "4.2.1" +description = "Python Client for Couchbase" +optional = false +python-versions = ">=3.7" +files = [ + {file = "couchbase-4.2.1-cp310-cp310-macosx_10_15_x86_64.whl", hash = "sha256:7ad4c4462879f456a9067ac1788e62d852509439bac3538b9bc459a754666481"}, + {file = "couchbase-4.2.1-cp310-cp310-macosx_11_0_arm64.whl", hash = "sha256:06d91891c599ba0f5052e594ac025a2ca6ab7885e528b854ac9c125df7c74146"}, + {file = "couchbase-4.2.1-cp310-cp310-manylinux2014_aarch64.manylinux_2_17_aarch64.whl", hash = "sha256:0191d4a631ead533551cb9a214704ad5f3dfff2029e21a23b57725a0b5666b25"}, + {file = "couchbase-4.2.1-cp310-cp310-manylinux2014_x86_64.manylinux_2_17_x86_64.whl", hash = "sha256:b206790d6834a18c5e457f9a70f44774f476f3acccf9f22e8c1b5283a5bd03fa"}, + {file = "couchbase-4.2.1-cp310-cp310-musllinux_1_1_x86_64.whl", hash = "sha256:c5ca571b9ce017ecbd447de12cd46e213f93e0664bec6fca0a06e1768db1a4f8"}, + {file = "couchbase-4.2.1-cp310-cp310-win_amd64.whl", hash = "sha256:675c615cfd4b04e73e94cf03c786da5105d94527f5c3a087813dba477a1379e9"}, + {file = "couchbase-4.2.1-cp311-cp311-macosx_10_15_x86_64.whl", hash = "sha256:4cd09eedf162dc28386d9c6490e832c25068406c0f5d70a0417c0b1445394651"}, + {file = "couchbase-4.2.1-cp311-cp311-macosx_11_0_arm64.whl", hash = "sha256:dfebb11551c6d947ce6297ab02b5006b1ac8739dda3e10d41896db0dc8672915"}, + {file = "couchbase-4.2.1-cp311-cp311-manylinux2014_aarch64.manylinux_2_17_aarch64.whl", hash = "sha256:39e742ccfe90a0e59e6e1b0e12f0fe224a736c0207b218ef48048052f926e1c6"}, + {file = "couchbase-4.2.1-cp311-cp311-manylinux2014_x86_64.manylinux_2_17_x86_64.whl", hash = "sha256:f9ba24efddf47f30603275f5433434d8759a55233c78b3e4bc613c502ac429e9"}, + {file = "couchbase-4.2.1-cp311-cp311-musllinux_1_1_x86_64.whl", hash = "sha256:adfca3929f07fb4385dc52f08d3a60634012f364b176f95ab023cdd1bb7fe9c0"}, + {file = "couchbase-4.2.1-cp311-cp311-win_amd64.whl", hash = "sha256:e1c68b28c6f0475961afb9fe626ad2bac8a5643b53f719675386f060db4b6e19"}, + {file = "couchbase-4.2.1-cp38-cp38-macosx_10_15_x86_64.whl", hash = "sha256:137512462426cd495954c1815d78115d109308a4d9f8843b638285104388a359"}, + {file = "couchbase-4.2.1-cp38-cp38-macosx_11_0_arm64.whl", hash = "sha256:5987e5edcce7696e5f75b35be91f44fa69fb5eb95dba0957ad66f789affcdb36"}, + {file = "couchbase-4.2.1-cp38-cp38-manylinux2014_aarch64.manylinux_2_17_aarch64.whl", hash = "sha256:080cb0fc333bd4a641ede4ee14ff0c7dbe95067fbb280826ea546681e0b9f9e3"}, + {file = "couchbase-4.2.1-cp38-cp38-manylinux2014_x86_64.manylinux_2_17_x86_64.whl", hash = "sha256:e317c2628a4a917083e8e7ce8e2662432b6a12ebac65fc00de6da2b37ab5975c"}, + {file = "couchbase-4.2.1-cp38-cp38-musllinux_1_1_x86_64.whl", hash = "sha256:de7f8699ae344e2e96706ee0eac67e96bfdd3412fb18dcfb81d8ba5837dd3dfb"}, + {file = "couchbase-4.2.1-cp38-cp38-win_amd64.whl", hash = "sha256:82b9deb8b1fe8e8d7dde9c232ac5f4c11ff0f067930837af0e7769706e6a9453"}, + {file = "couchbase-4.2.1-cp39-cp39-macosx_10_15_x86_64.whl", hash = "sha256:44502d069ea17a8d692b7c88d84bc0df2cf4e944cde337c8eb3175bc0b835bb9"}, + {file = "couchbase-4.2.1-cp39-cp39-macosx_11_0_arm64.whl", hash = "sha256:c0f131b816a7d91b755232872ba10f6d6ca5a715e595ee9534478bc97a518ae8"}, + {file = "couchbase-4.2.1-cp39-cp39-manylinux2014_aarch64.manylinux_2_17_aarch64.whl", hash = "sha256:e9b9deb312bbe5f9a8e63828f9de877714c4b09b7d88f7dc87b60e5ffb2a13e6"}, + {file = "couchbase-4.2.1-cp39-cp39-manylinux2014_x86_64.manylinux_2_17_x86_64.whl", hash = "sha256:71e8da251850d795975c3569c01d35ba1a556825dc7d9549ff9918d148255804"}, + {file = "couchbase-4.2.1-cp39-cp39-musllinux_1_1_x86_64.whl", hash = "sha256:d04492144ce520c612a2f8f265278c9f0cdf62fdd6f703e7a3210a7476b228f6"}, + {file = "couchbase-4.2.1-cp39-cp39-win_amd64.whl", hash = "sha256:3f91b7699ea7b8253cf34c9fb6e191de9b2edfd7aa4d6f97b29c10b9a1670444"}, + {file = "couchbase-4.2.1.tar.gz", hash = "sha256:dc1c60d3f2fc179db8225aac4cc30d601d73cf2535aaf023d607e86be2d7dd78"}, +] + [[package]] name = "coverage" -version = "7.4.4" +version = "7.5.1" description = "Code coverage measurement for Python" optional = false python-versions = ">=3.8" files = [ - {file = "coverage-7.4.4-cp310-cp310-macosx_10_9_x86_64.whl", hash = "sha256:e0be5efd5127542ef31f165de269f77560d6cdef525fffa446de6f7e9186cfb2"}, - {file = "coverage-7.4.4-cp310-cp310-macosx_11_0_arm64.whl", hash = "sha256:ccd341521be3d1b3daeb41960ae94a5e87abe2f46f17224ba5d6f2b8398016cf"}, - {file = "coverage-7.4.4-cp310-cp310-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:09fa497a8ab37784fbb20ab699c246053ac294d13fc7eb40ec007a5043ec91f8"}, - {file = "coverage-7.4.4-cp310-cp310-manylinux_2_5_i686.manylinux1_i686.manylinux_2_17_i686.manylinux2014_i686.whl", hash = "sha256:b1a93009cb80730c9bca5d6d4665494b725b6e8e157c1cb7f2db5b4b122ea562"}, - {file = "coverage-7.4.4-cp310-cp310-manylinux_2_5_x86_64.manylinux1_x86_64.manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:690db6517f09336559dc0b5f55342df62370a48f5469fabf502db2c6d1cffcd2"}, - {file = "coverage-7.4.4-cp310-cp310-musllinux_1_1_aarch64.whl", hash = "sha256:09c3255458533cb76ef55da8cc49ffab9e33f083739c8bd4f58e79fecfe288f7"}, - {file = "coverage-7.4.4-cp310-cp310-musllinux_1_1_i686.whl", hash = "sha256:8ce1415194b4a6bd0cdcc3a1dfbf58b63f910dcb7330fe15bdff542c56949f87"}, - {file = "coverage-7.4.4-cp310-cp310-musllinux_1_1_x86_64.whl", hash = "sha256:b91cbc4b195444e7e258ba27ac33769c41b94967919f10037e6355e998af255c"}, - {file = "coverage-7.4.4-cp310-cp310-win32.whl", hash = "sha256:598825b51b81c808cb6f078dcb972f96af96b078faa47af7dfcdf282835baa8d"}, - {file = "coverage-7.4.4-cp310-cp310-win_amd64.whl", hash = "sha256:09ef9199ed6653989ebbcaacc9b62b514bb63ea2f90256e71fea3ed74bd8ff6f"}, - {file = "coverage-7.4.4-cp311-cp311-macosx_10_9_x86_64.whl", hash = "sha256:0f9f50e7ef2a71e2fae92774c99170eb8304e3fdf9c8c3c7ae9bab3e7229c5cf"}, - {file = "coverage-7.4.4-cp311-cp311-macosx_11_0_arm64.whl", hash = "sha256:623512f8ba53c422fcfb2ce68362c97945095b864cda94a92edbaf5994201083"}, - {file = "coverage-7.4.4-cp311-cp311-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:0513b9508b93da4e1716744ef6ebc507aff016ba115ffe8ecff744d1322a7b63"}, - {file = "coverage-7.4.4-cp311-cp311-manylinux_2_5_i686.manylinux1_i686.manylinux_2_17_i686.manylinux2014_i686.whl", hash = "sha256:40209e141059b9370a2657c9b15607815359ab3ef9918f0196b6fccce8d3230f"}, - {file = "coverage-7.4.4-cp311-cp311-manylinux_2_5_x86_64.manylinux1_x86_64.manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:8a2b2b78c78293782fd3767d53e6474582f62443d0504b1554370bde86cc8227"}, - {file = "coverage-7.4.4-cp311-cp311-musllinux_1_1_aarch64.whl", hash = "sha256:73bfb9c09951125d06ee473bed216e2c3742f530fc5acc1383883125de76d9cd"}, - {file = "coverage-7.4.4-cp311-cp311-musllinux_1_1_i686.whl", hash = "sha256:1f384c3cc76aeedce208643697fb3e8437604b512255de6d18dae3f27655a384"}, - {file = "coverage-7.4.4-cp311-cp311-musllinux_1_1_x86_64.whl", hash = "sha256:54eb8d1bf7cacfbf2a3186019bcf01d11c666bd495ed18717162f7eb1e9dd00b"}, - {file = "coverage-7.4.4-cp311-cp311-win32.whl", hash = "sha256:cac99918c7bba15302a2d81f0312c08054a3359eaa1929c7e4b26ebe41e9b286"}, - {file = "coverage-7.4.4-cp311-cp311-win_amd64.whl", hash = "sha256:b14706df8b2de49869ae03a5ccbc211f4041750cd4a66f698df89d44f4bd30ec"}, - {file = "coverage-7.4.4-cp312-cp312-macosx_10_9_x86_64.whl", hash = "sha256:201bef2eea65e0e9c56343115ba3814e896afe6d36ffd37bab783261db430f76"}, - {file = "coverage-7.4.4-cp312-cp312-macosx_11_0_arm64.whl", hash = "sha256:41c9c5f3de16b903b610d09650e5e27adbfa7f500302718c9ffd1c12cf9d6818"}, - {file = "coverage-7.4.4-cp312-cp312-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:d898fe162d26929b5960e4e138651f7427048e72c853607f2b200909794ed978"}, - {file = "coverage-7.4.4-cp312-cp312-manylinux_2_5_i686.manylinux1_i686.manylinux_2_17_i686.manylinux2014_i686.whl", hash = "sha256:3ea79bb50e805cd6ac058dfa3b5c8f6c040cb87fe83de10845857f5535d1db70"}, - {file = "coverage-7.4.4-cp312-cp312-manylinux_2_5_x86_64.manylinux1_x86_64.manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:ce4b94265ca988c3f8e479e741693d143026632672e3ff924f25fab50518dd51"}, - {file = "coverage-7.4.4-cp312-cp312-musllinux_1_1_aarch64.whl", hash = "sha256:00838a35b882694afda09f85e469c96367daa3f3f2b097d846a7216993d37f4c"}, - {file = "coverage-7.4.4-cp312-cp312-musllinux_1_1_i686.whl", hash = "sha256:fdfafb32984684eb03c2d83e1e51f64f0906b11e64482df3c5db936ce3839d48"}, - {file = "coverage-7.4.4-cp312-cp312-musllinux_1_1_x86_64.whl", hash = "sha256:69eb372f7e2ece89f14751fbcbe470295d73ed41ecd37ca36ed2eb47512a6ab9"}, - {file = "coverage-7.4.4-cp312-cp312-win32.whl", hash = "sha256:137eb07173141545e07403cca94ab625cc1cc6bc4c1e97b6e3846270e7e1fea0"}, - {file = "coverage-7.4.4-cp312-cp312-win_amd64.whl", hash = "sha256:d71eec7d83298f1af3326ce0ff1d0ea83c7cb98f72b577097f9083b20bdaf05e"}, - {file = "coverage-7.4.4-cp38-cp38-macosx_10_9_x86_64.whl", hash = "sha256:d5ae728ff3b5401cc320d792866987e7e7e880e6ebd24433b70a33b643bb0384"}, - {file = "coverage-7.4.4-cp38-cp38-macosx_11_0_arm64.whl", hash = "sha256:cc4f1358cb0c78edef3ed237ef2c86056206bb8d9140e73b6b89fbcfcbdd40e1"}, - {file = "coverage-7.4.4-cp38-cp38-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:8130a2aa2acb8788e0b56938786c33c7c98562697bf9f4c7d6e8e5e3a0501e4a"}, - {file = "coverage-7.4.4-cp38-cp38-manylinux_2_5_i686.manylinux1_i686.manylinux_2_17_i686.manylinux2014_i686.whl", hash = "sha256:cf271892d13e43bc2b51e6908ec9a6a5094a4df1d8af0bfc360088ee6c684409"}, - {file = "coverage-7.4.4-cp38-cp38-manylinux_2_5_x86_64.manylinux1_x86_64.manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:a4cdc86d54b5da0df6d3d3a2f0b710949286094c3a6700c21e9015932b81447e"}, - {file = "coverage-7.4.4-cp38-cp38-musllinux_1_1_aarch64.whl", hash = "sha256:ae71e7ddb7a413dd60052e90528f2f65270aad4b509563af6d03d53e979feafd"}, - {file = "coverage-7.4.4-cp38-cp38-musllinux_1_1_i686.whl", hash = "sha256:38dd60d7bf242c4ed5b38e094baf6401faa114fc09e9e6632374388a404f98e7"}, - {file = "coverage-7.4.4-cp38-cp38-musllinux_1_1_x86_64.whl", hash = "sha256:aa5b1c1bfc28384f1f53b69a023d789f72b2e0ab1b3787aae16992a7ca21056c"}, - {file = "coverage-7.4.4-cp38-cp38-win32.whl", hash = "sha256:dfa8fe35a0bb90382837b238fff375de15f0dcdb9ae68ff85f7a63649c98527e"}, - {file = "coverage-7.4.4-cp38-cp38-win_amd64.whl", hash = "sha256:b2991665420a803495e0b90a79233c1433d6ed77ef282e8e152a324bbbc5e0c8"}, - {file = "coverage-7.4.4-cp39-cp39-macosx_10_9_x86_64.whl", hash = "sha256:3b799445b9f7ee8bf299cfaed6f5b226c0037b74886a4e11515e569b36fe310d"}, - {file = "coverage-7.4.4-cp39-cp39-macosx_11_0_arm64.whl", hash = "sha256:b4d33f418f46362995f1e9d4f3a35a1b6322cb959c31d88ae56b0298e1c22357"}, - {file = "coverage-7.4.4-cp39-cp39-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:aadacf9a2f407a4688d700e4ebab33a7e2e408f2ca04dbf4aef17585389eff3e"}, - {file = "coverage-7.4.4-cp39-cp39-manylinux_2_5_i686.manylinux1_i686.manylinux_2_17_i686.manylinux2014_i686.whl", hash = "sha256:7c95949560050d04d46b919301826525597f07b33beba6187d04fa64d47ac82e"}, - {file = "coverage-7.4.4-cp39-cp39-manylinux_2_5_x86_64.manylinux1_x86_64.manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:ff7687ca3d7028d8a5f0ebae95a6e4827c5616b31a4ee1192bdfde697db110d4"}, - {file = "coverage-7.4.4-cp39-cp39-musllinux_1_1_aarch64.whl", hash = "sha256:5fc1de20b2d4a061b3df27ab9b7c7111e9a710f10dc2b84d33a4ab25065994ec"}, - {file = "coverage-7.4.4-cp39-cp39-musllinux_1_1_i686.whl", hash = "sha256:c74880fc64d4958159fbd537a091d2a585448a8f8508bf248d72112723974cbd"}, - {file = "coverage-7.4.4-cp39-cp39-musllinux_1_1_x86_64.whl", hash = "sha256:742a76a12aa45b44d236815d282b03cfb1de3b4323f3e4ec933acfae08e54ade"}, - {file = "coverage-7.4.4-cp39-cp39-win32.whl", hash = "sha256:d89d7b2974cae412400e88f35d86af72208e1ede1a541954af5d944a8ba46c57"}, - {file = "coverage-7.4.4-cp39-cp39-win_amd64.whl", hash = "sha256:9ca28a302acb19b6af89e90f33ee3e1906961f94b54ea37de6737b7ca9d8827c"}, - {file = "coverage-7.4.4-pp38.pp39.pp310-none-any.whl", hash = "sha256:b2c5edc4ac10a7ef6605a966c58929ec6c1bd0917fb8c15cb3363f65aa40e677"}, - {file = "coverage-7.4.4.tar.gz", hash = "sha256:c901df83d097649e257e803be22592aedfd5182f07b3cc87d640bbb9afd50f49"}, + {file = "coverage-7.5.1-cp310-cp310-macosx_10_9_x86_64.whl", hash = "sha256:c0884920835a033b78d1c73b6d3bbcda8161a900f38a488829a83982925f6c2e"}, + {file = "coverage-7.5.1-cp310-cp310-macosx_11_0_arm64.whl", hash = "sha256:39afcd3d4339329c5f58de48a52f6e4e50f6578dd6099961cf22228feb25f38f"}, + {file = "coverage-7.5.1-cp310-cp310-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:4a7b0ceee8147444347da6a66be737c9d78f3353b0681715b668b72e79203e4a"}, + {file = "coverage-7.5.1-cp310-cp310-manylinux_2_5_i686.manylinux1_i686.manylinux_2_17_i686.manylinux2014_i686.whl", hash = "sha256:4a9ca3f2fae0088c3c71d743d85404cec8df9be818a005ea065495bedc33da35"}, + {file = "coverage-7.5.1-cp310-cp310-manylinux_2_5_x86_64.manylinux1_x86_64.manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:5fd215c0c7d7aab005221608a3c2b46f58c0285a819565887ee0b718c052aa4e"}, + {file = "coverage-7.5.1-cp310-cp310-musllinux_1_1_aarch64.whl", hash = "sha256:4bf0655ab60d754491004a5efd7f9cccefcc1081a74c9ef2da4735d6ee4a6223"}, + {file = "coverage-7.5.1-cp310-cp310-musllinux_1_1_i686.whl", hash = "sha256:61c4bf1ba021817de12b813338c9be9f0ad5b1e781b9b340a6d29fc13e7c1b5e"}, + {file = "coverage-7.5.1-cp310-cp310-musllinux_1_1_x86_64.whl", hash = "sha256:db66fc317a046556a96b453a58eced5024af4582a8dbdc0c23ca4dbc0d5b3146"}, + {file = "coverage-7.5.1-cp310-cp310-win32.whl", hash = "sha256:b016ea6b959d3b9556cb401c55a37547135a587db0115635a443b2ce8f1c7228"}, + {file = "coverage-7.5.1-cp310-cp310-win_amd64.whl", hash = "sha256:df4e745a81c110e7446b1cc8131bf986157770fa405fe90e15e850aaf7619bc8"}, + {file = "coverage-7.5.1-cp311-cp311-macosx_10_9_x86_64.whl", hash = "sha256:796a79f63eca8814ca3317a1ea443645c9ff0d18b188de470ed7ccd45ae79428"}, + {file = "coverage-7.5.1-cp311-cp311-macosx_11_0_arm64.whl", hash = "sha256:4fc84a37bfd98db31beae3c2748811a3fa72bf2007ff7902f68746d9757f3746"}, + {file = "coverage-7.5.1-cp311-cp311-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:6175d1a0559986c6ee3f7fccfc4a90ecd12ba0a383dcc2da30c2b9918d67d8a3"}, + {file = "coverage-7.5.1-cp311-cp311-manylinux_2_5_i686.manylinux1_i686.manylinux_2_17_i686.manylinux2014_i686.whl", hash = "sha256:1fc81d5878cd6274ce971e0a3a18a8803c3fe25457165314271cf78e3aae3aa2"}, + {file = "coverage-7.5.1-cp311-cp311-manylinux_2_5_x86_64.manylinux1_x86_64.manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:556cf1a7cbc8028cb60e1ff0be806be2eded2daf8129b8811c63e2b9a6c43bca"}, + {file = "coverage-7.5.1-cp311-cp311-musllinux_1_1_aarch64.whl", hash = "sha256:9981706d300c18d8b220995ad22627647be11a4276721c10911e0e9fa44c83e8"}, + {file = "coverage-7.5.1-cp311-cp311-musllinux_1_1_i686.whl", hash = "sha256:d7fed867ee50edf1a0b4a11e8e5d0895150e572af1cd6d315d557758bfa9c057"}, + {file = "coverage-7.5.1-cp311-cp311-musllinux_1_1_x86_64.whl", hash = "sha256:ef48e2707fb320c8f139424a596f5b69955a85b178f15af261bab871873bb987"}, + {file = "coverage-7.5.1-cp311-cp311-win32.whl", hash = "sha256:9314d5678dcc665330df5b69c1e726a0e49b27df0461c08ca12674bcc19ef136"}, + {file = "coverage-7.5.1-cp311-cp311-win_amd64.whl", hash = "sha256:5fa567e99765fe98f4e7d7394ce623e794d7cabb170f2ca2ac5a4174437e90dd"}, + {file = "coverage-7.5.1-cp312-cp312-macosx_10_9_x86_64.whl", hash = "sha256:b6cf3764c030e5338e7f61f95bd21147963cf6aa16e09d2f74f1fa52013c1206"}, + {file = "coverage-7.5.1-cp312-cp312-macosx_11_0_arm64.whl", hash = "sha256:2ec92012fefebee89a6b9c79bc39051a6cb3891d562b9270ab10ecfdadbc0c34"}, + {file = "coverage-7.5.1-cp312-cp312-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:16db7f26000a07efcf6aea00316f6ac57e7d9a96501e990a36f40c965ec7a95d"}, + {file = "coverage-7.5.1-cp312-cp312-manylinux_2_5_i686.manylinux1_i686.manylinux_2_17_i686.manylinux2014_i686.whl", hash = "sha256:beccf7b8a10b09c4ae543582c1319c6df47d78fd732f854ac68d518ee1fb97fa"}, + {file = "coverage-7.5.1-cp312-cp312-manylinux_2_5_x86_64.manylinux1_x86_64.manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:8748731ad392d736cc9ccac03c9845b13bb07d020a33423fa5b3a36521ac6e4e"}, + {file = "coverage-7.5.1-cp312-cp312-musllinux_1_1_aarch64.whl", hash = "sha256:7352b9161b33fd0b643ccd1f21f3a3908daaddf414f1c6cb9d3a2fd618bf2572"}, + {file = "coverage-7.5.1-cp312-cp312-musllinux_1_1_i686.whl", hash = "sha256:7a588d39e0925f6a2bff87154752481273cdb1736270642aeb3635cb9b4cad07"}, + {file = "coverage-7.5.1-cp312-cp312-musllinux_1_1_x86_64.whl", hash = "sha256:68f962d9b72ce69ea8621f57551b2fa9c70509af757ee3b8105d4f51b92b41a7"}, + {file = "coverage-7.5.1-cp312-cp312-win32.whl", hash = "sha256:f152cbf5b88aaeb836127d920dd0f5e7edff5a66f10c079157306c4343d86c19"}, + {file = "coverage-7.5.1-cp312-cp312-win_amd64.whl", hash = "sha256:5a5740d1fb60ddf268a3811bcd353de34eb56dc24e8f52a7f05ee513b2d4f596"}, + {file = "coverage-7.5.1-cp38-cp38-macosx_10_9_x86_64.whl", hash = "sha256:e2213def81a50519d7cc56ed643c9e93e0247f5bbe0d1247d15fa520814a7cd7"}, + {file = "coverage-7.5.1-cp38-cp38-macosx_11_0_arm64.whl", hash = "sha256:5037f8fcc2a95b1f0e80585bd9d1ec31068a9bcb157d9750a172836e98bc7a90"}, + {file = "coverage-7.5.1-cp38-cp38-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:5c3721c2c9e4c4953a41a26c14f4cef64330392a6d2d675c8b1db3b645e31f0e"}, + {file = "coverage-7.5.1-cp38-cp38-manylinux_2_5_i686.manylinux1_i686.manylinux_2_17_i686.manylinux2014_i686.whl", hash = "sha256:ca498687ca46a62ae590253fba634a1fe9836bc56f626852fb2720f334c9e4e5"}, + {file = "coverage-7.5.1-cp38-cp38-manylinux_2_5_x86_64.manylinux1_x86_64.manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:0cdcbc320b14c3e5877ee79e649677cb7d89ef588852e9583e6b24c2e5072661"}, + {file = "coverage-7.5.1-cp38-cp38-musllinux_1_1_aarch64.whl", hash = "sha256:57e0204b5b745594e5bc14b9b50006da722827f0b8c776949f1135677e88d0b8"}, + {file = "coverage-7.5.1-cp38-cp38-musllinux_1_1_i686.whl", hash = "sha256:8fe7502616b67b234482c3ce276ff26f39ffe88adca2acf0261df4b8454668b4"}, + {file = "coverage-7.5.1-cp38-cp38-musllinux_1_1_x86_64.whl", hash = "sha256:9e78295f4144f9dacfed4f92935fbe1780021247c2fabf73a819b17f0ccfff8d"}, + {file = "coverage-7.5.1-cp38-cp38-win32.whl", hash = "sha256:1434e088b41594baa71188a17533083eabf5609e8e72f16ce8c186001e6b8c41"}, + {file = "coverage-7.5.1-cp38-cp38-win_amd64.whl", hash = "sha256:0646599e9b139988b63704d704af8e8df7fa4cbc4a1f33df69d97f36cb0a38de"}, + {file = "coverage-7.5.1-cp39-cp39-macosx_10_9_x86_64.whl", hash = "sha256:4cc37def103a2725bc672f84bd939a6fe4522310503207aae4d56351644682f1"}, + {file = "coverage-7.5.1-cp39-cp39-macosx_11_0_arm64.whl", hash = "sha256:fc0b4d8bfeabd25ea75e94632f5b6e047eef8adaed0c2161ada1e922e7f7cece"}, + {file = "coverage-7.5.1-cp39-cp39-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:0d0a0f5e06881ecedfe6f3dd2f56dcb057b6dbeb3327fd32d4b12854df36bf26"}, + {file = "coverage-7.5.1-cp39-cp39-manylinux_2_5_i686.manylinux1_i686.manylinux_2_17_i686.manylinux2014_i686.whl", hash = "sha256:9735317685ba6ec7e3754798c8871c2f49aa5e687cc794a0b1d284b2389d1bd5"}, + {file = "coverage-7.5.1-cp39-cp39-manylinux_2_5_x86_64.manylinux1_x86_64.manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:d21918e9ef11edf36764b93101e2ae8cc82aa5efdc7c5a4e9c6c35a48496d601"}, + {file = "coverage-7.5.1-cp39-cp39-musllinux_1_1_aarch64.whl", hash = "sha256:c3e757949f268364b96ca894b4c342b41dc6f8f8b66c37878aacef5930db61be"}, + {file = "coverage-7.5.1-cp39-cp39-musllinux_1_1_i686.whl", hash = "sha256:79afb6197e2f7f60c4824dd4b2d4c2ec5801ceb6ba9ce5d2c3080e5660d51a4f"}, + {file = "coverage-7.5.1-cp39-cp39-musllinux_1_1_x86_64.whl", hash = "sha256:d1d0d98d95dd18fe29dc66808e1accf59f037d5716f86a501fc0256455219668"}, + {file = "coverage-7.5.1-cp39-cp39-win32.whl", hash = "sha256:1cc0fe9b0b3a8364093c53b0b4c0c2dd4bb23acbec4c9240b5f284095ccf7981"}, + {file = "coverage-7.5.1-cp39-cp39-win_amd64.whl", hash = "sha256:dde0070c40ea8bb3641e811c1cfbf18e265d024deff6de52c5950677a8fb1e0f"}, + {file = "coverage-7.5.1-pp38.pp39.pp310-none-any.whl", hash = "sha256:6537e7c10cc47c595828b8a8be04c72144725c383c4702703ff4e42e44577312"}, + {file = "coverage-7.5.1.tar.gz", hash = "sha256:54de9ef3a9da981f7af93eafde4ede199e0846cd819eb27c88e2b712aae9708c"}, ] [package.dependencies] @@ -1336,43 +1362,43 @@ toml = ["tomli"] [[package]] name = "cryptography" -version = "42.0.5" +version = "42.0.7" description = "cryptography is a package which provides cryptographic recipes and primitives to Python developers." optional = false python-versions = ">=3.7" files = [ - {file = "cryptography-42.0.5-cp37-abi3-macosx_10_12_universal2.whl", hash = "sha256:a30596bae9403a342c978fb47d9b0ee277699fa53bbafad14706af51fe543d16"}, - {file = "cryptography-42.0.5-cp37-abi3-macosx_10_12_x86_64.whl", hash = "sha256:b7ffe927ee6531c78f81aa17e684e2ff617daeba7f189f911065b2ea2d526dec"}, - {file = "cryptography-42.0.5-cp37-abi3-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:2424ff4c4ac7f6b8177b53c17ed5d8fa74ae5955656867f5a8affaca36a27abb"}, - {file = "cryptography-42.0.5-cp37-abi3-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:329906dcc7b20ff3cad13c069a78124ed8247adcac44b10bea1130e36caae0b4"}, - {file = "cryptography-42.0.5-cp37-abi3-manylinux_2_28_aarch64.whl", hash = "sha256:b03c2ae5d2f0fc05f9a2c0c997e1bc18c8229f392234e8a0194f202169ccd278"}, - {file = "cryptography-42.0.5-cp37-abi3-manylinux_2_28_x86_64.whl", hash = "sha256:f8837fe1d6ac4a8052a9a8ddab256bc006242696f03368a4009be7ee3075cdb7"}, - {file = "cryptography-42.0.5-cp37-abi3-musllinux_1_1_aarch64.whl", hash = "sha256:0270572b8bd2c833c3981724b8ee9747b3ec96f699a9665470018594301439ee"}, - {file = "cryptography-42.0.5-cp37-abi3-musllinux_1_1_x86_64.whl", hash = "sha256:b8cac287fafc4ad485b8a9b67d0ee80c66bf3574f655d3b97ef2e1082360faf1"}, - {file = "cryptography-42.0.5-cp37-abi3-musllinux_1_2_aarch64.whl", hash = "sha256:16a48c23a62a2f4a285699dba2e4ff2d1cff3115b9df052cdd976a18856d8e3d"}, - {file = "cryptography-42.0.5-cp37-abi3-musllinux_1_2_x86_64.whl", hash = "sha256:2bce03af1ce5a5567ab89bd90d11e7bbdff56b8af3acbbec1faded8f44cb06da"}, - {file = "cryptography-42.0.5-cp37-abi3-win32.whl", hash = "sha256:b6cd2203306b63e41acdf39aa93b86fb566049aeb6dc489b70e34bcd07adca74"}, - {file = "cryptography-42.0.5-cp37-abi3-win_amd64.whl", hash = "sha256:98d8dc6d012b82287f2c3d26ce1d2dd130ec200c8679b6213b3c73c08b2b7940"}, - {file = "cryptography-42.0.5-cp39-abi3-macosx_10_12_universal2.whl", hash = "sha256:5e6275c09d2badf57aea3afa80d975444f4be8d3bc58f7f80d2a484c6f9485c8"}, - {file = "cryptography-42.0.5-cp39-abi3-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:e4985a790f921508f36f81831817cbc03b102d643b5fcb81cd33df3fa291a1a1"}, - {file = "cryptography-42.0.5-cp39-abi3-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:7cde5f38e614f55e28d831754e8a3bacf9ace5d1566235e39d91b35502d6936e"}, - {file = "cryptography-42.0.5-cp39-abi3-manylinux_2_28_aarch64.whl", hash = "sha256:7367d7b2eca6513681127ebad53b2582911d1736dc2ffc19f2c3ae49997496bc"}, - {file = "cryptography-42.0.5-cp39-abi3-manylinux_2_28_x86_64.whl", hash = "sha256:cd2030f6650c089aeb304cf093f3244d34745ce0cfcc39f20c6fbfe030102e2a"}, - {file = "cryptography-42.0.5-cp39-abi3-musllinux_1_1_aarch64.whl", hash = "sha256:a2913c5375154b6ef2e91c10b5720ea6e21007412f6437504ffea2109b5a33d7"}, - {file = "cryptography-42.0.5-cp39-abi3-musllinux_1_1_x86_64.whl", hash = "sha256:c41fb5e6a5fe9ebcd58ca3abfeb51dffb5d83d6775405305bfa8715b76521922"}, - {file = "cryptography-42.0.5-cp39-abi3-musllinux_1_2_aarch64.whl", hash = "sha256:3eaafe47ec0d0ffcc9349e1708be2aaea4c6dd4978d76bf6eb0cb2c13636c6fc"}, - {file = "cryptography-42.0.5-cp39-abi3-musllinux_1_2_x86_64.whl", hash = "sha256:1b95b98b0d2af784078fa69f637135e3c317091b615cd0905f8b8a087e86fa30"}, - {file = "cryptography-42.0.5-cp39-abi3-win32.whl", hash = "sha256:1f71c10d1e88467126f0efd484bd44bca5e14c664ec2ede64c32f20875c0d413"}, - {file = "cryptography-42.0.5-cp39-abi3-win_amd64.whl", hash = "sha256:a011a644f6d7d03736214d38832e030d8268bcff4a41f728e6030325fea3e400"}, - {file = "cryptography-42.0.5-pp310-pypy310_pp73-macosx_10_12_x86_64.whl", hash = "sha256:9481ffe3cf013b71b2428b905c4f7a9a4f76ec03065b05ff499bb5682a8d9ad8"}, - {file = "cryptography-42.0.5-pp310-pypy310_pp73-manylinux_2_28_aarch64.whl", hash = "sha256:ba334e6e4b1d92442b75ddacc615c5476d4ad55cc29b15d590cc6b86efa487e2"}, - {file = "cryptography-42.0.5-pp310-pypy310_pp73-manylinux_2_28_x86_64.whl", hash = "sha256:ba3e4a42397c25b7ff88cdec6e2a16c2be18720f317506ee25210f6d31925f9c"}, - {file = "cryptography-42.0.5-pp310-pypy310_pp73-win_amd64.whl", hash = "sha256:111a0d8553afcf8eb02a4fea6ca4f59d48ddb34497aa8706a6cf536f1a5ec576"}, - {file = "cryptography-42.0.5-pp39-pypy39_pp73-macosx_10_12_x86_64.whl", hash = "sha256:cd65d75953847815962c84a4654a84850b2bb4aed3f26fadcc1c13892e1e29f6"}, - {file = "cryptography-42.0.5-pp39-pypy39_pp73-manylinux_2_28_aarch64.whl", hash = "sha256:e807b3188f9eb0eaa7bbb579b462c5ace579f1cedb28107ce8b48a9f7ad3679e"}, - {file = "cryptography-42.0.5-pp39-pypy39_pp73-manylinux_2_28_x86_64.whl", hash = "sha256:f12764b8fffc7a123f641d7d049d382b73f96a34117e0b637b80643169cec8ac"}, - {file = "cryptography-42.0.5-pp39-pypy39_pp73-win_amd64.whl", hash = "sha256:37dd623507659e08be98eec89323469e8c7b4c1407c85112634ae3dbdb926fdd"}, - {file = "cryptography-42.0.5.tar.gz", hash = "sha256:6fe07eec95dfd477eb9530aef5bead34fec819b3aaf6c5bd6d20565da607bfe1"}, + {file = "cryptography-42.0.7-cp37-abi3-macosx_10_12_universal2.whl", hash = "sha256:a987f840718078212fdf4504d0fd4c6effe34a7e4740378e59d47696e8dfb477"}, + {file = "cryptography-42.0.7-cp37-abi3-macosx_10_12_x86_64.whl", hash = "sha256:bd13b5e9b543532453de08bcdc3cc7cebec6f9883e886fd20a92f26940fd3e7a"}, + {file = "cryptography-42.0.7-cp37-abi3-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:a79165431551042cc9d1d90e6145d5d0d3ab0f2d66326c201d9b0e7f5bf43604"}, + {file = "cryptography-42.0.7-cp37-abi3-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:a47787a5e3649008a1102d3df55424e86606c9bae6fb77ac59afe06d234605f8"}, + {file = "cryptography-42.0.7-cp37-abi3-manylinux_2_28_aarch64.whl", hash = "sha256:02c0eee2d7133bdbbc5e24441258d5d2244beb31da5ed19fbb80315f4bbbff55"}, + {file = "cryptography-42.0.7-cp37-abi3-manylinux_2_28_x86_64.whl", hash = "sha256:5e44507bf8d14b36b8389b226665d597bc0f18ea035d75b4e53c7b1ea84583cc"}, + {file = "cryptography-42.0.7-cp37-abi3-musllinux_1_1_aarch64.whl", hash = "sha256:7f8b25fa616d8b846aef64b15c606bb0828dbc35faf90566eb139aa9cff67af2"}, + {file = "cryptography-42.0.7-cp37-abi3-musllinux_1_1_x86_64.whl", hash = "sha256:93a3209f6bb2b33e725ed08ee0991b92976dfdcf4e8b38646540674fc7508e13"}, + {file = "cryptography-42.0.7-cp37-abi3-musllinux_1_2_aarch64.whl", hash = "sha256:e6b8f1881dac458c34778d0a424ae5769de30544fc678eac51c1c8bb2183e9da"}, + {file = "cryptography-42.0.7-cp37-abi3-musllinux_1_2_x86_64.whl", hash = "sha256:3de9a45d3b2b7d8088c3fbf1ed4395dfeff79d07842217b38df14ef09ce1d8d7"}, + {file = "cryptography-42.0.7-cp37-abi3-win32.whl", hash = "sha256:789caea816c6704f63f6241a519bfa347f72fbd67ba28d04636b7c6b7da94b0b"}, + {file = "cryptography-42.0.7-cp37-abi3-win_amd64.whl", hash = "sha256:8cb8ce7c3347fcf9446f201dc30e2d5a3c898d009126010cbd1f443f28b52678"}, + {file = "cryptography-42.0.7-cp39-abi3-macosx_10_12_universal2.whl", hash = "sha256:a3a5ac8b56fe37f3125e5b72b61dcde43283e5370827f5233893d461b7360cd4"}, + {file = "cryptography-42.0.7-cp39-abi3-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:779245e13b9a6638df14641d029add5dc17edbef6ec915688f3acb9e720a5858"}, + {file = "cryptography-42.0.7-cp39-abi3-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:0d563795db98b4cd57742a78a288cdbdc9daedac29f2239793071fe114f13785"}, + {file = "cryptography-42.0.7-cp39-abi3-manylinux_2_28_aarch64.whl", hash = "sha256:31adb7d06fe4383226c3e963471f6837742889b3c4caa55aac20ad951bc8ffda"}, + {file = "cryptography-42.0.7-cp39-abi3-manylinux_2_28_x86_64.whl", hash = "sha256:efd0bf5205240182e0f13bcaea41be4fdf5c22c5129fc7ced4a0282ac86998c9"}, + {file = "cryptography-42.0.7-cp39-abi3-musllinux_1_1_aarch64.whl", hash = "sha256:a9bc127cdc4ecf87a5ea22a2556cab6c7eda2923f84e4f3cc588e8470ce4e42e"}, + {file = "cryptography-42.0.7-cp39-abi3-musllinux_1_1_x86_64.whl", hash = "sha256:3577d029bc3f4827dd5bf8bf7710cac13527b470bbf1820a3f394adb38ed7d5f"}, + {file = "cryptography-42.0.7-cp39-abi3-musllinux_1_2_aarch64.whl", hash = "sha256:2e47577f9b18723fa294b0ea9a17d5e53a227867a0a4904a1a076d1646d45ca1"}, + {file = "cryptography-42.0.7-cp39-abi3-musllinux_1_2_x86_64.whl", hash = "sha256:1a58839984d9cb34c855197043eaae2c187d930ca6d644612843b4fe8513c886"}, + {file = "cryptography-42.0.7-cp39-abi3-win32.whl", hash = "sha256:e6b79d0adb01aae87e8a44c2b64bc3f3fe59515280e00fb6d57a7267a2583cda"}, + {file = "cryptography-42.0.7-cp39-abi3-win_amd64.whl", hash = "sha256:16268d46086bb8ad5bf0a2b5544d8a9ed87a0e33f5e77dd3c3301e63d941a83b"}, + {file = "cryptography-42.0.7-pp310-pypy310_pp73-macosx_10_12_x86_64.whl", hash = "sha256:2954fccea107026512b15afb4aa664a5640cd0af630e2ee3962f2602693f0c82"}, + {file = "cryptography-42.0.7-pp310-pypy310_pp73-manylinux_2_28_aarch64.whl", hash = "sha256:362e7197754c231797ec45ee081f3088a27a47c6c01eff2ac83f60f85a50fe60"}, + {file = "cryptography-42.0.7-pp310-pypy310_pp73-manylinux_2_28_x86_64.whl", hash = "sha256:4f698edacf9c9e0371112792558d2f705b5645076cc0aaae02f816a0171770fd"}, + {file = "cryptography-42.0.7-pp310-pypy310_pp73-win_amd64.whl", hash = "sha256:5482e789294854c28237bba77c4c83be698be740e31a3ae5e879ee5444166582"}, + {file = "cryptography-42.0.7-pp39-pypy39_pp73-macosx_10_12_x86_64.whl", hash = "sha256:e9b2a6309f14c0497f348d08a065d52f3020656f675819fc405fb63bbcd26562"}, + {file = "cryptography-42.0.7-pp39-pypy39_pp73-manylinux_2_28_aarch64.whl", hash = "sha256:d8e3098721b84392ee45af2dd554c947c32cc52f862b6a3ae982dbb90f577f14"}, + {file = "cryptography-42.0.7-pp39-pypy39_pp73-manylinux_2_28_x86_64.whl", hash = "sha256:c65f96dad14f8528a447414125e1fc8feb2ad5a272b8f68477abbcc1ea7d94b9"}, + {file = "cryptography-42.0.7-pp39-pypy39_pp73-win_amd64.whl", hash = "sha256:36017400817987670037fbb0324d71489b6ead6231c9604f8fc1f7d008087c68"}, + {file = "cryptography-42.0.7.tar.gz", hash = "sha256:ecbfbc00bf55888edda9868a4cf927205de8499e7fabe6c050322298382953f2"}, ] [package.dependencies] @@ -1410,13 +1436,13 @@ tests = ["pytest"] [[package]] name = "dataclasses-json" -version = "0.6.4" +version = "0.6.6" description = "Easily serialize dataclasses to and from JSON." optional = false -python-versions = ">=3.7,<4.0" +python-versions = "<4.0,>=3.7" files = [ - {file = "dataclasses_json-0.6.4-py3-none-any.whl", hash = "sha256:f90578b8a3177f7552f4e1a6e535e84293cd5da421fcce0642d49c0d7bdf8df2"}, - {file = "dataclasses_json-0.6.4.tar.gz", hash = "sha256:73696ebf24936560cca79a2430cbc4f3dd23ac7bf46ed17f38e5e5e7657a6377"}, + {file = "dataclasses_json-0.6.6-py3-none-any.whl", hash = "sha256:e54c5c87497741ad454070ba0ed411523d46beb5da102e221efb873801b0ba85"}, + {file = "dataclasses_json-0.6.6.tar.gz", hash = "sha256:0c09827d26fffda27f1be2fed7a7a01a29c5ddcd2eb6393ad5ebf9d77e9deae8"}, ] [package.dependencies] @@ -1508,24 +1534,6 @@ files = [ {file = "decorator-5.1.1.tar.gz", hash = "sha256:637996211036b6385ef91435e4fae22989472f9d571faba8927ba8253acbc330"}, ] -[[package]] -name = "deepdiff" -version = "7.0.1" -description = "Deep Difference and Search of any Python object/data. Recreate objects by adding adding deltas to each other." -optional = false -python-versions = ">=3.8" -files = [ - {file = "deepdiff-7.0.1-py3-none-any.whl", hash = "sha256:447760081918216aa4fd4ca78a4b6a848b81307b2ea94c810255334b759e1dc3"}, - {file = "deepdiff-7.0.1.tar.gz", hash = "sha256:260c16f052d4badbf60351b4f77e8390bee03a0b516246f6839bc813fb429ddf"}, -] - -[package.dependencies] -ordered-set = ">=4.1.0,<4.2.0" - -[package.extras] -cli = ["click (==8.1.7)", "pyyaml (==6.0.1)"] -optimize = ["orjson"] - [[package]] name = "defusedxml" version = "0.7.1" @@ -1604,6 +1612,17 @@ files = [ {file = "diskcache-5.6.3.tar.gz", hash = "sha256:2c3a3fa2743d8535d832ec61c2054a1641f41775aa7c556758a109941e33e4fc"}, ] +[[package]] +name = "distlib" +version = "0.3.8" +description = "Distribution utilities" +optional = false +python-versions = "*" +files = [ + {file = "distlib-0.3.8-py2.py3-none-any.whl", hash = "sha256:034db59a0b96f8ca18035f36290806a9a6e6bd9d1ff91e45a7f172eb17e51784"}, + {file = "distlib-0.3.8.tar.gz", hash = "sha256:1530ea13e350031b6312d8580ddb6b27a104275a31106523b8f123787f494f64"}, +] + [[package]] name = "distro" version = "1.9.0" @@ -1637,22 +1656,23 @@ wmi = ["wmi (>=1.5.1)"] [[package]] name = "docker" -version = "7.0.0" +version = "7.1.0" description = "A Python library for the Docker Engine API." optional = false python-versions = ">=3.8" files = [ - {file = "docker-7.0.0-py3-none-any.whl", hash = "sha256:12ba681f2777a0ad28ffbcc846a69c31b4dfd9752b47eb425a274ee269c5e14b"}, - {file = "docker-7.0.0.tar.gz", hash = "sha256:323736fb92cd9418fc5e7133bc953e11a9da04f4483f828b527db553f1e7e5a3"}, + {file = "docker-7.1.0-py3-none-any.whl", hash = "sha256:c96b93b7f0a746f9e77d325bcfb87422a3d8bd4f03136ae8a85b37f1898d5fc0"}, + {file = "docker-7.1.0.tar.gz", hash = "sha256:ad8c70e6e3f8926cb8a92619b832b4ea5299e2831c14284663184e200546fa6c"}, ] [package.dependencies] -packaging = ">=14.0" pywin32 = {version = ">=304", markers = "sys_platform == \"win32\""} requests = ">=2.26.0" urllib3 = ">=1.26.0" [package.extras] +dev = ["coverage (==7.2.7)", "pytest (==7.4.2)", "pytest-cov (==4.1.0)", "pytest-timeout (==2.1.0)", "ruff (==0.1.8)"] +docs = ["myst-parser (==0.18.0)", "sphinx (==5.1.1)"] ssh = ["paramiko (>=2.4.3)"] websockets = ["websocket-client (>=1.3.0)"] @@ -1669,13 +1689,13 @@ files = [ [[package]] name = "dspy-ai" -version = "2.4.5" +version = "2.4.9" description = "DSPy" optional = false python-versions = ">=3.9" files = [ - {file = "dspy-ai-2.4.5.tar.gz", hash = "sha256:6d9f166f9c214a86cfa0ef0e1d1489b4034dbed1cdab61ce152de8c09f64d799"}, - {file = "dspy_ai-2.4.5-py3-none-any.whl", hash = "sha256:341e239374fba86ad7f9cd1eb3810ccd70bbbdfe8e9b2fa79038da0e0e720d4e"}, + {file = "dspy-ai-2.4.9.tar.gz", hash = "sha256:5cf5dc30e976b244477851ca538133678330efeb60a54a79e0c94e9067d11d1a"}, + {file = "dspy_ai-2.4.9-py3-none-any.whl", hash = "sha256:945f2a3110cfa9ac99ad5d326ae284fac619765ac7e2a35ca44873aed397eba1"}, ] [package.dependencies] @@ -1685,91 +1705,82 @@ joblib = ">=1.3.2,<1.4.0" openai = ">=0.28.1,<2.0.0" optuna = "*" pandas = "*" -pydantic = "2.5.0" +pydantic = ">=2.0,<3.0" regex = "*" requests = "*" +structlog = "*" tqdm = "*" ujson = "*" [package.extras] anthropic = ["anthropic (>=0.18.0,<0.19.0)"] +aws = ["boto3 (>=1.34.78,<1.35.0)"] chromadb = ["chromadb (>=0.4.14,<0.5.0)"] dev = ["pytest (>=6.2.5)"] docs = ["autodoc-pydantic", "docutils (<0.17)", "furo (>=2023.3.27)", "m2r2", "myst-nb", "myst-parser", "sphinx (>=4.3.0)", "sphinx-autobuild", "sphinx-automodapi (==0.16.0)", "sphinx-reredirects (>=0.1.2)", "sphinx-rtd-theme"] faiss-cpu = ["faiss-cpu", "sentence-transformers"] +google-vertex-ai = ["google-cloud-aiplatform (==1.43.0)"] marqo = ["marqo", "marqo (>=3.1.0,<3.2.0)"] +milvus = ["pymilvus (>=2.3.7,<2.4.0)"] mongodb = ["pymongo (>=3.12.0,<3.13.0)"] pinecone = ["pinecone-client (>=2.2.4,<2.3.0)"] -qdrant = ["fastembed", "fastembed (>=0.1.0,<0.2.0)", "qdrant-client", "qdrant-client (>=1.6.2,<1.7.0)"] -weaviate = ["weaviate-client (>=3.26.1,<3.27.0)"] +qdrant = ["fastembed", "fastembed (>=0.1.0)", "qdrant-client", "qdrant-client (>=1.6.2)"] +weaviate = ["weaviate-client (>=3.26.1,<3.27.0)", "weaviate-client (>=4.5.4,<4.6.0)"] [[package]] name = "duckdb" -version = "0.9.2" -description = "DuckDB embedded database" +version = "0.10.3" +description = "DuckDB in-process database" optional = false python-versions = ">=3.7.0" files = [ - {file = "duckdb-0.9.2-cp310-cp310-macosx_10_9_universal2.whl", hash = "sha256:aadcea5160c586704c03a8a796c06a8afffbefefb1986601104a60cb0bfdb5ab"}, - {file = "duckdb-0.9.2-cp310-cp310-macosx_10_9_x86_64.whl", hash = "sha256:08215f17147ed83cbec972175d9882387366de2ed36c21cbe4add04b39a5bcb4"}, - {file = "duckdb-0.9.2-cp310-cp310-macosx_11_0_arm64.whl", hash = "sha256:ee6c2a8aba6850abef5e1be9dbc04b8e72a5b2c2b67f77892317a21fae868fe7"}, - {file = "duckdb-0.9.2-cp310-cp310-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:1ff49f3da9399900fd58b5acd0bb8bfad22c5147584ad2427a78d937e11ec9d0"}, - {file = "duckdb-0.9.2-cp310-cp310-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:dd5ac5baf8597efd2bfa75f984654afcabcd698342d59b0e265a0bc6f267b3f0"}, - {file = "duckdb-0.9.2-cp310-cp310-musllinux_1_1_x86_64.whl", hash = "sha256:81c6df905589a1023a27e9712edb5b724566587ef280a0c66a7ec07c8083623b"}, - {file = "duckdb-0.9.2-cp310-cp310-win32.whl", hash = "sha256:a298cd1d821c81d0dec8a60878c4b38c1adea04a9675fb6306c8f9083bbf314d"}, - {file = "duckdb-0.9.2-cp310-cp310-win_amd64.whl", hash = "sha256:492a69cd60b6cb4f671b51893884cdc5efc4c3b2eb76057a007d2a2295427173"}, - {file = "duckdb-0.9.2-cp311-cp311-macosx_10_9_universal2.whl", hash = "sha256:061a9ea809811d6e3025c5de31bc40e0302cfb08c08feefa574a6491e882e7e8"}, - {file = "duckdb-0.9.2-cp311-cp311-macosx_10_9_x86_64.whl", hash = "sha256:a43f93be768af39f604b7b9b48891f9177c9282a408051209101ff80f7450d8f"}, - {file = "duckdb-0.9.2-cp311-cp311-macosx_11_0_arm64.whl", hash = "sha256:ac29c8c8f56fff5a681f7bf61711ccb9325c5329e64f23cb7ff31781d7b50773"}, - {file = "duckdb-0.9.2-cp311-cp311-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:b14d98d26bab139114f62ade81350a5342f60a168d94b27ed2c706838f949eda"}, - {file = "duckdb-0.9.2-cp311-cp311-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:796a995299878913e765b28cc2b14c8e44fae2f54ab41a9ee668c18449f5f833"}, - {file = "duckdb-0.9.2-cp311-cp311-musllinux_1_1_x86_64.whl", hash = "sha256:6cb64ccfb72c11ec9c41b3cb6181b6fd33deccceda530e94e1c362af5f810ba1"}, - {file = "duckdb-0.9.2-cp311-cp311-win32.whl", hash = "sha256:930740cb7b2cd9e79946e1d3a8f66e15dc5849d4eaeff75c8788d0983b9256a5"}, - {file = "duckdb-0.9.2-cp311-cp311-win_amd64.whl", hash = "sha256:c28f13c45006fd525001b2011cdf91fa216530e9751779651e66edc0e446be50"}, - {file = "duckdb-0.9.2-cp37-cp37m-macosx_10_9_x86_64.whl", hash = "sha256:fbce7bbcb4ba7d99fcec84cec08db40bc0dd9342c6c11930ce708817741faeeb"}, - {file = "duckdb-0.9.2-cp37-cp37m-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:15a82109a9e69b1891f0999749f9e3265f550032470f51432f944a37cfdc908b"}, - {file = "duckdb-0.9.2-cp37-cp37m-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:9490fb9a35eb74af40db5569d90df8a04a6f09ed9a8c9caa024998c40e2506aa"}, - {file = "duckdb-0.9.2-cp37-cp37m-musllinux_1_1_x86_64.whl", hash = "sha256:696d5c6dee86c1a491ea15b74aafe34ad2b62dcd46ad7e03b1d00111ca1a8c68"}, - {file = "duckdb-0.9.2-cp37-cp37m-win32.whl", hash = "sha256:4f0935300bdf8b7631ddfc838f36a858c1323696d8c8a2cecbd416bddf6b0631"}, - {file = "duckdb-0.9.2-cp37-cp37m-win_amd64.whl", hash = "sha256:0aab900f7510e4d2613263865570203ddfa2631858c7eb8cbed091af6ceb597f"}, - {file = "duckdb-0.9.2-cp38-cp38-macosx_10_9_universal2.whl", hash = "sha256:7d8130ed6a0c9421b135d0743705ea95b9a745852977717504e45722c112bf7a"}, - {file = "duckdb-0.9.2-cp38-cp38-macosx_10_9_x86_64.whl", hash = "sha256:974e5de0294f88a1a837378f1f83330395801e9246f4e88ed3bfc8ada65dcbee"}, - {file = "duckdb-0.9.2-cp38-cp38-macosx_11_0_arm64.whl", hash = "sha256:4fbc297b602ef17e579bb3190c94d19c5002422b55814421a0fc11299c0c1100"}, - {file = "duckdb-0.9.2-cp38-cp38-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:1dd58a0d84a424924a35b3772419f8cd78a01c626be3147e4934d7a035a8ad68"}, - {file = "duckdb-0.9.2-cp38-cp38-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:11a1194a582c80dfb57565daa06141727e415ff5d17e022dc5f31888a5423d33"}, - {file = "duckdb-0.9.2-cp38-cp38-musllinux_1_1_x86_64.whl", hash = "sha256:be45d08541002a9338e568dca67ab4f20c0277f8f58a73dfc1435c5b4297c996"}, - {file = "duckdb-0.9.2-cp38-cp38-win32.whl", hash = "sha256:dd6f88aeb7fc0bfecaca633629ff5c986ac966fe3b7dcec0b2c48632fd550ba2"}, - {file = "duckdb-0.9.2-cp38-cp38-win_amd64.whl", hash = "sha256:28100c4a6a04e69aa0f4a6670a6d3d67a65f0337246a0c1a429f3f28f3c40b9a"}, - {file = "duckdb-0.9.2-cp39-cp39-macosx_10_9_universal2.whl", hash = "sha256:7ae5bf0b6ad4278e46e933e51473b86b4b932dbc54ff097610e5b482dd125552"}, - {file = "duckdb-0.9.2-cp39-cp39-macosx_10_9_x86_64.whl", hash = "sha256:e5d0bb845a80aa48ed1fd1d2d285dd352e96dc97f8efced2a7429437ccd1fe1f"}, - {file = "duckdb-0.9.2-cp39-cp39-macosx_11_0_arm64.whl", hash = "sha256:4ce262d74a52500d10888110dfd6715989926ec936918c232dcbaddb78fc55b4"}, - {file = "duckdb-0.9.2-cp39-cp39-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:6935240da090a7f7d2666f6d0a5e45ff85715244171ca4e6576060a7f4a1200e"}, - {file = "duckdb-0.9.2-cp39-cp39-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:a5cfb93e73911696a98b9479299d19cfbc21dd05bb7ab11a923a903f86b4d06e"}, - {file = "duckdb-0.9.2-cp39-cp39-musllinux_1_1_x86_64.whl", hash = "sha256:64e3bc01751f31e7572d2716c3e8da8fe785f1cdc5be329100818d223002213f"}, - {file = "duckdb-0.9.2-cp39-cp39-win32.whl", hash = "sha256:6e5b80f46487636368e31b61461940e3999986359a78660a50dfdd17dd72017c"}, - {file = "duckdb-0.9.2-cp39-cp39-win_amd64.whl", hash = "sha256:e6142a220180dbeea4f341708bd5f9501c5c962ce7ef47c1cadf5e8810b4cb13"}, - {file = "duckdb-0.9.2.tar.gz", hash = "sha256:3843afeab7c3fc4a4c0b53686a4cc1d9cdbdadcbb468d60fef910355ecafd447"}, -] - -[[package]] -name = "easygui" -version = "0.98.3" -description = "EasyGUI is a module for very simple, very easy GUI programming in Python. EasyGUI is different from other GUI generators in that EasyGUI is NOT event-driven. Instead, all GUI interactions are invoked by simple function calls." -optional = false -python-versions = "*" -files = [ - {file = "easygui-0.98.3-py2.py3-none-any.whl", hash = "sha256:33498710c68b5376b459cd3fc48d1d1f33822139eb3ed01defbc0528326da3ba"}, - {file = "easygui-0.98.3.tar.gz", hash = "sha256:d653ff79ee1f42f63b5a090f2f98ce02335d86ad8963b3ce2661805cafe99a04"}, -] - -[[package]] -name = "ebcdic" -version = "1.1.1" -description = "Additional EBCDIC codecs" -optional = false -python-versions = "*" -files = [ - {file = "ebcdic-1.1.1-py2.py3-none-any.whl", hash = "sha256:33b4cb729bc2d0bf46cc1847b0e5946897cb8d3f53520c5b9aa5fa98d7e735f1"}, + {file = "duckdb-0.10.3-cp310-cp310-macosx_10_9_universal2.whl", hash = "sha256:cd25cc8d001c09a19340739ba59d33e12a81ab285b7a6bed37169655e1cefb31"}, + {file = "duckdb-0.10.3-cp310-cp310-macosx_10_9_x86_64.whl", hash = "sha256:2f9259c637b917ca0f4c63887e8d9b35ec248f5d987c886dfc4229d66a791009"}, + {file = "duckdb-0.10.3-cp310-cp310-macosx_11_0_arm64.whl", hash = "sha256:b48f5f1542f1e4b184e6b4fc188f497be8b9c48127867e7d9a5f4a3e334f88b0"}, + {file = "duckdb-0.10.3-cp310-cp310-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:e327f7a3951ea154bb56e3fef7da889e790bd9a67ca3c36afc1beb17d3feb6d6"}, + {file = "duckdb-0.10.3-cp310-cp310-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:5d8b20ed67da004b4481973f4254fd79a0e5af957d2382eac8624b5c527ec48c"}, + {file = "duckdb-0.10.3-cp310-cp310-manylinux_2_24_aarch64.manylinux_2_28_aarch64.whl", hash = "sha256:d37680b8d7be04e4709db3a66c8b3eb7ceba2a5276574903528632f2b2cc2e60"}, + {file = "duckdb-0.10.3-cp310-cp310-musllinux_1_2_x86_64.whl", hash = "sha256:3d34b86d6a2a6dfe8bb757f90bfe7101a3bd9e3022bf19dbddfa4b32680d26a9"}, + {file = "duckdb-0.10.3-cp310-cp310-win_amd64.whl", hash = "sha256:73b1cb283ca0f6576dc18183fd315b4e487a545667ffebbf50b08eb4e8cdc143"}, + {file = "duckdb-0.10.3-cp311-cp311-macosx_10_9_universal2.whl", hash = "sha256:d917dde19fcec8cadcbef1f23946e85dee626ddc133e1e3f6551f15a61a03c61"}, + {file = "duckdb-0.10.3-cp311-cp311-macosx_10_9_x86_64.whl", hash = "sha256:46757e0cf5f44b4cb820c48a34f339a9ccf83b43d525d44947273a585a4ed822"}, + {file = "duckdb-0.10.3-cp311-cp311-macosx_11_0_arm64.whl", hash = "sha256:338c14d8ac53ac4aa9ec03b6f1325ecfe609ceeb72565124d489cb07f8a1e4eb"}, + {file = "duckdb-0.10.3-cp311-cp311-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:651fcb429602b79a3cf76b662a39e93e9c3e6650f7018258f4af344c816dab72"}, + {file = "duckdb-0.10.3-cp311-cp311-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:d3ae3c73b98b6215dab93cc9bc936b94aed55b53c34ba01dec863c5cab9f8e25"}, + {file = "duckdb-0.10.3-cp311-cp311-manylinux_2_24_aarch64.manylinux_2_28_aarch64.whl", hash = "sha256:56429b2cfe70e367fb818c2be19f59ce2f6b080c8382c4d10b4f90ba81f774e9"}, + {file = "duckdb-0.10.3-cp311-cp311-musllinux_1_2_x86_64.whl", hash = "sha256:b46c02c2e39e3676b1bb0dc7720b8aa953734de4fd1b762e6d7375fbeb1b63af"}, + {file = "duckdb-0.10.3-cp311-cp311-win_amd64.whl", hash = "sha256:bcd460feef56575af2c2443d7394d405a164c409e9794a4d94cb5fdaa24a0ba4"}, + {file = "duckdb-0.10.3-cp312-cp312-macosx_10_9_universal2.whl", hash = "sha256:e229a7c6361afbb0d0ab29b1b398c10921263c52957aefe3ace99b0426fdb91e"}, + {file = "duckdb-0.10.3-cp312-cp312-macosx_10_9_x86_64.whl", hash = "sha256:732b1d3b6b17bf2f32ea696b9afc9e033493c5a3b783c292ca4b0ee7cc7b0e66"}, + {file = "duckdb-0.10.3-cp312-cp312-macosx_11_0_arm64.whl", hash = "sha256:f5380d4db11fec5021389fb85d614680dc12757ef7c5881262742250e0b58c75"}, + {file = "duckdb-0.10.3-cp312-cp312-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:468a4e0c0b13c55f84972b1110060d1b0f854ffeb5900a178a775259ec1562db"}, + {file = "duckdb-0.10.3-cp312-cp312-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:0fa1e7ff8d18d71defa84e79f5c86aa25d3be80d7cb7bc259a322de6d7cc72da"}, + {file = "duckdb-0.10.3-cp312-cp312-manylinux_2_24_aarch64.manylinux_2_28_aarch64.whl", hash = "sha256:ed1063ed97c02e9cf2e7fd1d280de2d1e243d72268330f45344c69c7ce438a01"}, + {file = "duckdb-0.10.3-cp312-cp312-musllinux_1_2_x86_64.whl", hash = "sha256:22f2aad5bb49c007f3bfcd3e81fdedbc16a2ae41f2915fc278724ca494128b0c"}, + {file = "duckdb-0.10.3-cp312-cp312-win_amd64.whl", hash = "sha256:8f9e2bb00a048eb70b73a494bdc868ce7549b342f7ffec88192a78e5a4e164bd"}, + {file = "duckdb-0.10.3-cp37-cp37m-macosx_10_9_x86_64.whl", hash = "sha256:a6c2fc49875b4b54e882d68703083ca6f84b27536d57d623fc872e2f502b1078"}, + {file = "duckdb-0.10.3-cp37-cp37m-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:a66c125d0c30af210f7ee599e7821c3d1a7e09208196dafbf997d4e0cfcb81ab"}, + {file = "duckdb-0.10.3-cp37-cp37m-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:d99dd7a1d901149c7a276440d6e737b2777e17d2046f5efb0c06ad3b8cb066a6"}, + {file = "duckdb-0.10.3-cp37-cp37m-manylinux_2_24_aarch64.manylinux_2_28_aarch64.whl", hash = "sha256:5ec3bbdb209e6095d202202893763e26c17c88293b88ef986b619e6c8b6715bd"}, + {file = "duckdb-0.10.3-cp37-cp37m-musllinux_1_2_x86_64.whl", hash = "sha256:2b3dec4ef8ed355d7b7230b40950b30d0def2c387a2e8cd7efc80b9d14134ecf"}, + {file = "duckdb-0.10.3-cp37-cp37m-win_amd64.whl", hash = "sha256:04129f94fb49bba5eea22f941f0fb30337f069a04993048b59e2811f52d564bc"}, + {file = "duckdb-0.10.3-cp38-cp38-macosx_10_9_universal2.whl", hash = "sha256:d75d67024fc22c8edfd47747c8550fb3c34fb1cbcbfd567e94939ffd9c9e3ca7"}, + {file = "duckdb-0.10.3-cp38-cp38-macosx_10_9_x86_64.whl", hash = "sha256:f3796e9507c02d0ddbba2e84c994fae131da567ce3d9cbb4cbcd32fadc5fbb26"}, + {file = "duckdb-0.10.3-cp38-cp38-macosx_11_0_arm64.whl", hash = "sha256:78e539d85ebd84e3e87ec44d28ad912ca4ca444fe705794e0de9be3dd5550c11"}, + {file = "duckdb-0.10.3-cp38-cp38-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:7a99b67ac674b4de32073e9bc604b9c2273d399325181ff50b436c6da17bf00a"}, + {file = "duckdb-0.10.3-cp38-cp38-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:1209a354a763758c4017a1f6a9f9b154a83bed4458287af9f71d84664ddb86b6"}, + {file = "duckdb-0.10.3-cp38-cp38-manylinux_2_24_aarch64.manylinux_2_28_aarch64.whl", hash = "sha256:3b735cea64aab39b67c136ab3a571dbf834067f8472ba2f8bf0341bc91bea820"}, + {file = "duckdb-0.10.3-cp38-cp38-musllinux_1_2_x86_64.whl", hash = "sha256:816ffb9f758ed98eb02199d9321d592d7a32a6cb6aa31930f4337eb22cfc64e2"}, + {file = "duckdb-0.10.3-cp38-cp38-win_amd64.whl", hash = "sha256:1631184b94c3dc38b13bce4045bf3ae7e1b0ecbfbb8771eb8d751d8ffe1b59b3"}, + {file = "duckdb-0.10.3-cp39-cp39-macosx_10_9_universal2.whl", hash = "sha256:fb98c35fc8dd65043bc08a2414dd9f59c680d7e8656295b8969f3f2061f26c52"}, + {file = "duckdb-0.10.3-cp39-cp39-macosx_10_9_x86_64.whl", hash = "sha256:7e75c9f5b6a92b2a6816605c001d30790f6d67ce627a2b848d4d6040686efdf9"}, + {file = "duckdb-0.10.3-cp39-cp39-macosx_11_0_arm64.whl", hash = "sha256:ae786eddf1c2fd003466e13393b9348a44b6061af6fe7bcb380a64cac24e7df7"}, + {file = "duckdb-0.10.3-cp39-cp39-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:b9387da7b7973707b0dea2588749660dd5dd724273222680e985a2dd36787668"}, + {file = "duckdb-0.10.3-cp39-cp39-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:538f943bf9fa8a3a7c4fafa05f21a69539d2c8a68e557233cbe9d989ae232899"}, + {file = "duckdb-0.10.3-cp39-cp39-manylinux_2_24_aarch64.manylinux_2_28_aarch64.whl", hash = "sha256:6930608f35025a73eb94252964f9f19dd68cf2aaa471da3982cf6694866cfa63"}, + {file = "duckdb-0.10.3-cp39-cp39-musllinux_1_2_x86_64.whl", hash = "sha256:03bc54a9cde5490918aad82d7d2a34290e3dfb78d5b889c6626625c0f141272a"}, + {file = "duckdb-0.10.3-cp39-cp39-win_amd64.whl", hash = "sha256:372b6e3901d85108cafe5df03c872dfb6f0dbff66165a0cf46c47246c1957aa0"}, + {file = "duckdb-0.10.3.tar.gz", hash = "sha256:c5bd84a92bc708d3a6adffe1f554b94c6e76c795826daaaf482afc3d9c636971"}, ] [[package]] @@ -1810,13 +1821,13 @@ develop = ["aiohttp", "furo", "httpx", "mock", "opentelemetry-api", "opentelemet [[package]] name = "elasticsearch" -version = "8.13.0" +version = "8.13.1" description = "Python client for Elasticsearch" optional = false python-versions = ">=3.7" files = [ - {file = "elasticsearch-8.13.0-py3-none-any.whl", hash = "sha256:4aaf49253e974eb500f01136a487bdd0f09d3cafd37a0456eff6acfff0c9199b"}, - {file = "elasticsearch-8.13.0.tar.gz", hash = "sha256:e4ebebb22d09f0ef839c26b6aa98e19ccd636bcb77f08c12b562b02cacd5e744"}, + {file = "elasticsearch-8.13.1-py3-none-any.whl", hash = "sha256:ba2b3f8b30a7a81beae690f1cede52fbcfd29baf3ef5bb028d4fa86972feebd8"}, + {file = "elasticsearch-8.13.1.tar.gz", hash = "sha256:1594d2d1293672db62525bc4688d86cdaf118db0f901808db28dc90ad19b81e1"}, ] [package.dependencies] @@ -1826,30 +1837,34 @@ elastic-transport = ">=8.13,<9" async = ["aiohttp (>=3,<4)"] orjson = ["orjson (>=3)"] requests = ["requests (>=2.4.0,<3.0.0)"] +vectorstore-mmr = ["numpy (>=1)", "simsimd (>=3)"] [[package]] name = "emoji" -version = "2.11.0" +version = "2.12.1" description = "Emoji for Python" optional = false -python-versions = "!=3.0.*,!=3.1.*,!=3.2.*,!=3.3.*,>=2.7" +python-versions = ">=3.7" files = [ - {file = "emoji-2.11.0-py2.py3-none-any.whl", hash = "sha256:63fc9107f06c6c2e48e5078ce9575cef98518f5ac09474f6148a43e989989582"}, - {file = "emoji-2.11.0.tar.gz", hash = "sha256:772eaa30f4e0b1ce95148a092df4c7dc97644532c03225326b0fd05e8a9f72a3"}, + {file = "emoji-2.12.1-py3-none-any.whl", hash = "sha256:a00d62173bdadc2510967a381810101624a2f0986145b8da0cffa42e29430235"}, + {file = "emoji-2.12.1.tar.gz", hash = "sha256:4aa0488817691aa58d83764b6c209f8a27c0b3ab3f89d1b8dceca1a62e4973eb"}, ] +[package.dependencies] +typing-extensions = ">=4.7.0" + [package.extras] -dev = ["coverage", "coveralls", "pytest"] +dev = ["coverage", "pytest (>=7.4.4)"] [[package]] name = "exceptiongroup" -version = "1.2.0" +version = "1.2.1" description = "Backport of PEP 654 (exception groups)" optional = false python-versions = ">=3.7" files = [ - {file = "exceptiongroup-1.2.0-py3-none-any.whl", hash = "sha256:4bfd3996ac73b41e9b9628b04e079f193850720ea5945fc96a08633c66912f14"}, - {file = "exceptiongroup-1.2.0.tar.gz", hash = "sha256:91f5c769735f051a4290d52edd0858999b57e5876e9f85937691bd4c9fa3ed68"}, + {file = "exceptiongroup-1.2.1-py3-none-any.whl", hash = "sha256:5258b9ed329c5bbdd31a309f53cbfb0b155341807f6ff7606a1e801a891b29ad"}, + {file = "exceptiongroup-1.2.1.tar.gz", hash = "sha256:a4785e48b045528f5bfe627b6ad554ff32def154f42372786903b7abcfe1aa16"}, ] [package.extras] @@ -1883,33 +1898,6 @@ files = [ [package.extras] tests = ["asttokens (>=2.1.0)", "coverage", "coverage-enable-subprocess", "ipython", "littleutils", "pytest", "rich"] -[[package]] -name = "extract-msg" -version = "0.47.0" -description = "Extracts emails and attachments saved in Microsoft Outlook's .msg files" -optional = false -python-versions = ">=3.8" -files = [ - {file = "extract_msg-0.47.0-py2.py3-none-any.whl", hash = "sha256:ab177546d6ebbea7818e9acb352f6f8cce3821e39319405e6a873808238564a5"}, - {file = "extract_msg-0.47.0.tar.gz", hash = "sha256:d3ed5fdc8cdff3567421d7e4183511905eb3c83d2605e6c9335c653efa6cfb41"}, -] - -[package.dependencies] -beautifulsoup4 = ">=4.11.1,<4.13" -compressed-rtf = ">=1.0.6,<2" -ebcdic = ">=1.1.1,<2" -olefile = "0.47" -red-black-tree-mod = "1.20" -RTFDE = ">=0.1.1,<0.2" -tzlocal = ">=4.2,<6" - -[package.extras] -all = ["extract-msg[encoding]", "extract-msg[image]", "extract-msg[mime]"] -encoding = ["chardet (>=3.0.0,<6)"] -image = ["Pillow (>=9.5.0,<10)"] -mime = ["python-magic (>=0.4.27,<0.5)"] -readthedocs = ["sphinx-rtd-theme"] - [[package]] name = "faiss-cpu" version = "1.8.0" @@ -1961,13 +1949,13 @@ files = [ [[package]] name = "fastapi" -version = "0.110.1" +version = "0.110.3" description = "FastAPI framework, high performance, easy to learn, fast to code, ready for production" optional = false python-versions = ">=3.8" files = [ - {file = "fastapi-0.110.1-py3-none-any.whl", hash = "sha256:5df913203c482f820d31f48e635e022f8cbfe7350e4830ef05a3163925b1addc"}, - {file = "fastapi-0.110.1.tar.gz", hash = "sha256:6feac43ec359dfe4f45b2c18ec8c94edb8dc2dfc461d417d9e626590c071baad"}, + {file = "fastapi-0.110.3-py3-none-any.whl", hash = "sha256:fd7600612f755e4050beb74001310b5a7e1796d149c2ee363124abdfa0289d32"}, + {file = "fastapi-0.110.3.tar.gz", hash = "sha256:555700b0159379e94fdbfc6bb66a0f1c43f4cf7060f25239af3d84b63a656626"}, ] [package.dependencies] @@ -1976,7 +1964,7 @@ starlette = ">=0.37.2,<0.38.0" typing-extensions = ">=4.8.0" [package.extras] -all = ["email-validator (>=2.0.0)", "httpx (>=0.23.0)", "itsdangerous (>=1.1.0)", "jinja2 (>=2.11.2)", "orjson (>=3.2.1)", "pydantic-extra-types (>=2.0.0)", "pydantic-settings (>=2.0.0)", "python-multipart (>=0.0.7)", "pyyaml (>=5.3.1)", "ujson (>=4.0.1,!=4.0.2,!=4.1.0,!=4.2.0,!=4.3.0,!=5.0.0,!=5.1.0)", "uvicorn[standard] (>=0.12.0)"] +all = ["email_validator (>=2.0.0)", "httpx (>=0.23.0)", "itsdangerous (>=1.1.0)", "jinja2 (>=2.11.2)", "orjson (>=3.2.1)", "pydantic-extra-types (>=2.0.0)", "pydantic-settings (>=2.0.0)", "python-multipart (>=0.0.7)", "pyyaml (>=5.3.1)", "ujson (>=4.0.1,!=4.0.2,!=4.1.0,!=4.2.0,!=4.3.0,!=5.0.0,!=5.1.0)", "uvicorn[standard] (>=0.12.0)"] [[package]] name = "fastavro" @@ -2026,13 +2014,13 @@ zstandard = ["zstandard"] [[package]] name = "filelock" -version = "3.13.4" +version = "3.14.0" description = "A platform independent file lock." optional = false python-versions = ">=3.8" files = [ - {file = "filelock-3.13.4-py3-none-any.whl", hash = "sha256:404e5e9253aa60ad457cae1be07c0f0ca90a63931200a47d9b6a6af84fd7b45f"}, - {file = "filelock-3.13.4.tar.gz", hash = "sha256:d13f466618bfde72bd2c18255e269f72542c6e70e7bac83a0232d6b1cc5c8cf4"}, + {file = "filelock-3.14.0-py3-none-any.whl", hash = "sha256:43339835842f110ca7ae60f1e1c160714c5a6afd15a2873419ab185334975c0f"}, + {file = "filelock-3.14.0.tar.gz", hash = "sha256:6ea72da3be9b8c82afd3edcf99f2fffbb5076335a5ae4d03248bb5b6c3eae78a"}, ] [package.extras] @@ -2040,17 +2028,6 @@ docs = ["furo (>=2023.9.10)", "sphinx (>=7.2.6)", "sphinx-autodoc-typehints (>=1 testing = ["covdefaults (>=2.3)", "coverage (>=7.3.2)", "diff-cover (>=8.0.1)", "pytest (>=7.4.3)", "pytest-cov (>=4.1)", "pytest-mock (>=3.12)", "pytest-timeout (>=2.2)"] typing = ["typing-extensions (>=4.8)"] -[[package]] -name = "filetype" -version = "1.2.0" -description = "Infer file type and MIME type of any file/buffer. No external dependencies." -optional = false -python-versions = "*" -files = [ - {file = "filetype-1.2.0-py2.py3-none-any.whl", hash = "sha256:7ce71b6880181241cf7ac8697a2f1eb6a8bd9b429f7ad6d27b8db9ba5f1c2d25"}, - {file = "filetype-1.2.0.tar.gz", hash = "sha256:66b56cd6474bf41d8c54660347d37afcc3f7d1970648de365c102ef77548aadb"}, -] - [[package]] name = "flaml" version = "2.1.2" @@ -2112,13 +2089,13 @@ dotenv = ["python-dotenv"] [[package]] name = "flask-cors" -version = "4.0.0" +version = "4.0.1" description = "A Flask extension adding a decorator for CORS support" optional = false python-versions = "*" files = [ - {file = "Flask-Cors-4.0.0.tar.gz", hash = "sha256:f268522fcb2f73e2ecdde1ef45e2fd5c71cc48fe03cffb4b441c6d1b40684eb0"}, - {file = "Flask_Cors-4.0.0-py2.py3-none-any.whl", hash = "sha256:bc3492bfd6368d27cfe79c7821df5a8a319e1a6d5eab277a3794be19bdc51783"}, + {file = "Flask_Cors-4.0.1-py2.py3-none-any.whl", hash = "sha256:f2a704e4458665580c074b714c4627dd5a306b333deb9074d0b1794dfa2fb677"}, + {file = "flask_cors-4.0.1.tar.gz", hash = "sha256:eeb69b342142fdbf4766ad99357a7f3876a2ceb77689dc10ff912aac06c389e4"}, ] [package.dependencies] @@ -2387,74 +2364,74 @@ test = ["cffi (>=1.12.2)", "coverage (>=5.0)", "dnspython (>=1.16.0,<2.0)", "idn [[package]] name = "geventhttpclient" -version = "2.3.0" +version = "2.3.1" description = "HTTP client library for gevent" optional = false python-versions = ">=3.9" files = [ - {file = "geventhttpclient-2.3.0-cp310-cp310-macosx_10_9_universal2.whl", hash = "sha256:7630aa16d18799fffeaeefdfe5435d1675363195eaed7e2928be57dea33da304"}, - {file = "geventhttpclient-2.3.0-cp310-cp310-macosx_10_9_x86_64.whl", hash = "sha256:f527209f30804c56e169f993593c3e41067c9db6cf9f0514923d200b493a38a7"}, - {file = "geventhttpclient-2.3.0-cp310-cp310-macosx_11_0_arm64.whl", hash = "sha256:0f14ff90cbd27f3b925ae9d6334831dd6f372c625e527887762d074711575805"}, - {file = "geventhttpclient-2.3.0-cp310-cp310-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:ec49f4ff2d3846205c3597a4bbf5fd98b64aaa6ab0b9a97811bc051d89382bd6"}, - {file = "geventhttpclient-2.3.0-cp310-cp310-manylinux_2_17_ppc64le.manylinux2014_ppc64le.whl", hash = "sha256:7fdbaae593aabd76a808502931965c699a985ccb9644f9fe862189a485fec86f"}, - {file = "geventhttpclient-2.3.0-cp310-cp310-manylinux_2_5_i686.manylinux1_i686.manylinux_2_17_i686.manylinux2014_i686.whl", hash = "sha256:89ca169b1cd5e85de18f4688a4743f6a2920c4a89fa08b3203f9935ba1d8da39"}, - {file = "geventhttpclient-2.3.0-cp310-cp310-manylinux_2_5_x86_64.manylinux1_x86_64.manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:f39f4838f54d5df56f3379c9ac4fba1a029c171ff271a9653691abfdbeaf7e24"}, - {file = "geventhttpclient-2.3.0-cp310-cp310-musllinux_1_1_aarch64.whl", hash = "sha256:76d170e6c5798e7ecc4b6bb5dd00de53c332a62c6590656de4f7f19f3060ef94"}, - {file = "geventhttpclient-2.3.0-cp310-cp310-musllinux_1_1_i686.whl", hash = "sha256:31ec4e778e3e1b263c10fa29dd9f9ae741a5e27202f501c75f75f506dfbd74d7"}, - {file = "geventhttpclient-2.3.0-cp310-cp310-musllinux_1_1_ppc64le.whl", hash = "sha256:19145cede9dc7721e254c0e08f7700eefc19a79db7a7d68dc0f719b7ee35eee3"}, - {file = "geventhttpclient-2.3.0-cp310-cp310-musllinux_1_1_x86_64.whl", hash = "sha256:7cfc0e6203eb36be0da351841e0903a3a4df812340f0512b12efc5edb220a86a"}, - {file = "geventhttpclient-2.3.0-cp310-cp310-win32.whl", hash = "sha256:ca3632314688a8c990e5513e4d114090fbd3cb0d169b55450da27db607aaba34"}, - {file = "geventhttpclient-2.3.0-cp310-cp310-win_amd64.whl", hash = "sha256:10f3be3aa703ea65d04ac03aa05125d72b68f780c875295896fb48184e93d3a3"}, - {file = "geventhttpclient-2.3.0-cp311-cp311-macosx_10_9_universal2.whl", hash = "sha256:0a743c7e905bdc882fae121ebb213eb282d0c5156578c58bb5f0c09d57ca576c"}, - {file = "geventhttpclient-2.3.0-cp311-cp311-macosx_10_9_x86_64.whl", hash = "sha256:01da6fb603752ec7e9b63893be820f40dd726edb9036fca55c810ce3dd6793b2"}, - {file = "geventhttpclient-2.3.0-cp311-cp311-macosx_11_0_arm64.whl", hash = "sha256:9cc4d716371c007eba33b2d8fbd366c9792899a70f059ce2033df8d523c9448a"}, - {file = "geventhttpclient-2.3.0-cp311-cp311-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:9e2a93a5f4fbabf44d0b466095eaa27e88b5014f95b507230a508332df970a38"}, - {file = "geventhttpclient-2.3.0-cp311-cp311-manylinux_2_17_ppc64le.manylinux2014_ppc64le.whl", hash = "sha256:51f1271fa2a2e1a27511d6c3deeda7301ab4923942e546da2ff230566daff6e8"}, - {file = "geventhttpclient-2.3.0-cp311-cp311-manylinux_2_5_i686.manylinux1_i686.manylinux_2_17_i686.manylinux2014_i686.whl", hash = "sha256:46771d0acfc5592e7bf040ce2e508c5c49b81664b966324d1c2ef3d8fd44ea65"}, - {file = "geventhttpclient-2.3.0-cp311-cp311-manylinux_2_5_x86_64.manylinux1_x86_64.manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:b03b468beaa078587195b3e22d2b5e9763cb0214a48ad99b9a8ad0eb0fe394e7"}, - {file = "geventhttpclient-2.3.0-cp311-cp311-musllinux_1_1_aarch64.whl", hash = "sha256:9690338762778b48336baf7aea7a14951e7eb483b7a607158d31a735c2c95348"}, - {file = "geventhttpclient-2.3.0-cp311-cp311-musllinux_1_1_i686.whl", hash = "sha256:85cdc59ea4f8a2afd88f5055c91a1f65bba9ec0f5a41c907b64d33610d5bdd8c"}, - {file = "geventhttpclient-2.3.0-cp311-cp311-musllinux_1_1_ppc64le.whl", hash = "sha256:b4baa201f43de2accacfd6738c3137f5152692c09adb9c3dd7896963d7328c03"}, - {file = "geventhttpclient-2.3.0-cp311-cp311-musllinux_1_1_x86_64.whl", hash = "sha256:9a6ec5ca6ab34a468a87a48de98eb636dadfac72c3aec517b575f5f897d89757"}, - {file = "geventhttpclient-2.3.0-cp311-cp311-win32.whl", hash = "sha256:081574326db832783790bfb5cc2f4b932652f910972d4a824fb7eeea8e475097"}, - {file = "geventhttpclient-2.3.0-cp311-cp311-win_amd64.whl", hash = "sha256:8366c3fe353a39347c0770d534d2769acea8857726b2fec79828e6bce7d9647f"}, - {file = "geventhttpclient-2.3.0-cp312-cp312-macosx_10_9_universal2.whl", hash = "sha256:4d40af6b53253eb4f9022caa65aa20bfd52aaa3e6f34eae43220a3f94560d8ee"}, - {file = "geventhttpclient-2.3.0-cp312-cp312-macosx_10_9_x86_64.whl", hash = "sha256:6ec39b679b6a4cfa8e0c2c7b6df4f946a2256e5f2c9ee01784c7fadd2b796e67"}, - {file = "geventhttpclient-2.3.0-cp312-cp312-macosx_11_0_arm64.whl", hash = "sha256:977d5bc42761f180e6cbd249e44608219041835f07c77370dc08a3babfc66a95"}, - {file = "geventhttpclient-2.3.0-cp312-cp312-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:f1c7ccccb8b202da4a1913b3a0732b619552b2fab0f2ba9b263522a7bddfaa3d"}, - {file = "geventhttpclient-2.3.0-cp312-cp312-manylinux_2_17_ppc64le.manylinux2014_ppc64le.whl", hash = "sha256:3e082b5ac05ba71122b1f4970a1bb0a790168c80d1217a356a5acc6f72f1ec4b"}, - {file = "geventhttpclient-2.3.0-cp312-cp312-manylinux_2_5_i686.manylinux1_i686.manylinux_2_17_i686.manylinux2014_i686.whl", hash = "sha256:b5a31a4fbb1a07ddb3348450aff8ea2446498e2afd174f4f8db22c546243161d"}, - {file = "geventhttpclient-2.3.0-cp312-cp312-manylinux_2_5_x86_64.manylinux1_x86_64.manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:e79fffdb62c5e50617431f4114d6fb03cf0a87b297fe00a52b5905a74a2b8fa1"}, - {file = "geventhttpclient-2.3.0-cp312-cp312-musllinux_1_1_aarch64.whl", hash = "sha256:4a4f29e43feb24e32d49b332b54b870379293887aa7233e19afd080ead119360"}, - {file = "geventhttpclient-2.3.0-cp312-cp312-musllinux_1_1_i686.whl", hash = "sha256:3298e77307a7e976d1c1064ffa74dc75c79a36fb4240a40a76c9f9be517d53fe"}, - {file = "geventhttpclient-2.3.0-cp312-cp312-musllinux_1_1_ppc64le.whl", hash = "sha256:65f880133d87b628134865252d97e43c81c2b44f2ef7d1acd8da9b2d303b3a5b"}, - {file = "geventhttpclient-2.3.0-cp312-cp312-musllinux_1_1_x86_64.whl", hash = "sha256:d2ee2e9c67f1c41dfac463c4bb261e0d9220703eef58731029aa5ea4e46d160d"}, - {file = "geventhttpclient-2.3.0-cp312-cp312-win32.whl", hash = "sha256:130fa34979929af61450f2551e7a2195d30fac9b206005352231d8c373fc612e"}, - {file = "geventhttpclient-2.3.0-cp312-cp312-win_amd64.whl", hash = "sha256:4416baf8f3dea5c57725273a55d9a46a31fb2bc79df7a7e440b53749ec15a311"}, - {file = "geventhttpclient-2.3.0-cp39-cp39-macosx_10_9_universal2.whl", hash = "sha256:b8e44be7ccc43c089cd90913caadfb7658e2b56d9e0b977796cb468926149892"}, - {file = "geventhttpclient-2.3.0-cp39-cp39-macosx_10_9_x86_64.whl", hash = "sha256:4677dfeb19303c1cc75e96171839e2e464656141f94acfad10c00111d1b00fb8"}, - {file = "geventhttpclient-2.3.0-cp39-cp39-macosx_11_0_arm64.whl", hash = "sha256:33927ab977a3dab3362515d100ff4ec59c3217d97eb66c271c8a2e21d30dec6c"}, - {file = "geventhttpclient-2.3.0-cp39-cp39-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:ecee39c53725bddc8e2a23cba7ee84eb36c12d1b84fc0717a852eac567b1d5c4"}, - {file = "geventhttpclient-2.3.0-cp39-cp39-manylinux_2_17_ppc64le.manylinux2014_ppc64le.whl", hash = "sha256:2e7a2d6e1d8383d98598b01f2970344e2ba9a6c0e9a9664d5363478e2d070b21"}, - {file = "geventhttpclient-2.3.0-cp39-cp39-manylinux_2_5_i686.manylinux1_i686.manylinux_2_17_i686.manylinux2014_i686.whl", hash = "sha256:962678a003bfee2e8e891f57dd728173db98c830c2d3a4d4251664eeb1c0a85a"}, - {file = "geventhttpclient-2.3.0-cp39-cp39-manylinux_2_5_x86_64.manylinux1_x86_64.manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:92d9c7aaa3dbd1a53f94846139408dcd063c99c1c7aab0d2b655b9080bd26d76"}, - {file = "geventhttpclient-2.3.0-cp39-cp39-musllinux_1_1_aarch64.whl", hash = "sha256:eba0955df3ee5a7a67ce2d4fb42d8a42a067ea4ad99a25c8a92bfcb5ccc4aed0"}, - {file = "geventhttpclient-2.3.0-cp39-cp39-musllinux_1_1_i686.whl", hash = "sha256:ff900f94ff9ba63e5dc5b416ba807e529d732697ffaf6577e25b91e758d007d3"}, - {file = "geventhttpclient-2.3.0-cp39-cp39-musllinux_1_1_ppc64le.whl", hash = "sha256:f9ce6c7b2ea591df2b9bc47d277975b8720c5b44f8be1a89430115b4fa19d94b"}, - {file = "geventhttpclient-2.3.0-cp39-cp39-musllinux_1_1_x86_64.whl", hash = "sha256:77f827cd8dafdeec28bd2dc25cc447fe28cad405d0975b256d031495ea881237"}, - {file = "geventhttpclient-2.3.0-cp39-cp39-win32.whl", hash = "sha256:9da4e4f7c65ceb68c162dc08813cf7e2f70bde7e692405ee8c994fe5f0604736"}, - {file = "geventhttpclient-2.3.0-cp39-cp39-win_amd64.whl", hash = "sha256:a5e58db8ccdb990fd60d3fe8cfd7b467c9dd883bdca9e365f7cabd0bad4ff0a2"}, - {file = "geventhttpclient-2.3.0-pp310-pypy310_pp73-macosx_10_9_x86_64.whl", hash = "sha256:caacaa9cd9638b4c907fcad9f16c03aa41331ec161e66e1fa3b2facec80eb9f8"}, - {file = "geventhttpclient-2.3.0-pp310-pypy310_pp73-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:69a6935f8501734b50f85dfb7b547313a4551c6edf19720b28e0287970a6733a"}, - {file = "geventhttpclient-2.3.0-pp310-pypy310_pp73-manylinux_2_5_i686.manylinux1_i686.manylinux_2_17_i686.manylinux2014_i686.whl", hash = "sha256:49e963a20c1b21ee3095dec2f2b8d52cc08e834b5fdcb919fe549a67e7dd533b"}, - {file = "geventhttpclient-2.3.0-pp310-pypy310_pp73-manylinux_2_5_x86_64.manylinux1_x86_64.manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:48f97216600867627040a0a81611e0fd0b9afc265a85b502947e4131dd4d5f37"}, - {file = "geventhttpclient-2.3.0-pp310-pypy310_pp73-win_amd64.whl", hash = "sha256:4414c39f1a26f300b6bf612569d77d2131503a610f7875821133b3566c02974f"}, - {file = "geventhttpclient-2.3.0-pp39-pypy39_pp73-macosx_10_9_x86_64.whl", hash = "sha256:4f86113eaabef14495060e0ace813b84e632c26d1801e1c3ce8b6e79044725cb"}, - {file = "geventhttpclient-2.3.0-pp39-pypy39_pp73-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:56e7092efc6f34a3c0a524e643611397480cb4bc9b0c2ab64488c52b1df68d4a"}, - {file = "geventhttpclient-2.3.0-pp39-pypy39_pp73-manylinux_2_5_i686.manylinux1_i686.manylinux_2_17_i686.manylinux2014_i686.whl", hash = "sha256:b7ae4a4fc655f76dd7762f93558b82767c6821e05fe0edef8eaf5d2b05df1e22"}, - {file = "geventhttpclient-2.3.0-pp39-pypy39_pp73-manylinux_2_5_x86_64.manylinux1_x86_64.manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:a6d7cfce04818224a3fb19e52bcaf3e9b5594d15fdaae0331a798607cc17b289"}, - {file = "geventhttpclient-2.3.0-pp39-pypy39_pp73-win_amd64.whl", hash = "sha256:5445ab9be3ee883d22d81ba820c2d0042e463a75a643f8781d15742b7b2589fd"}, - {file = "geventhttpclient-2.3.0.tar.gz", hash = "sha256:738b8288f20e3fd1cf7e57bfa9bf889b29cd2f927c5b2b9ef764a33f49f40452"}, + {file = "geventhttpclient-2.3.1-cp310-cp310-macosx_10_9_universal2.whl", hash = "sha256:da22ab7bf5af4ba3d07cffee6de448b42696e53e7ac1fe97ed289037733bf1c2"}, + {file = "geventhttpclient-2.3.1-cp310-cp310-macosx_10_9_x86_64.whl", hash = "sha256:2399e3d4e2fae8bbd91756189da6e9d84adf8f3eaace5eef0667874a705a29f8"}, + {file = "geventhttpclient-2.3.1-cp310-cp310-macosx_11_0_arm64.whl", hash = "sha256:d3e33e87d0d5b9f5782c4e6d3cb7e3592fea41af52713137d04776df7646d71b"}, + {file = "geventhttpclient-2.3.1-cp310-cp310-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:c071db313866c3d0510feb6c0f40ec086ccf7e4a845701b6316c82c06e8b9b29"}, + {file = "geventhttpclient-2.3.1-cp310-cp310-manylinux_2_17_ppc64le.manylinux2014_ppc64le.whl", hash = "sha256:f36f0c6ef88a27e60af8369d9c2189fe372c6f2943182a7568e0f2ad33bb69f1"}, + {file = "geventhttpclient-2.3.1-cp310-cp310-manylinux_2_5_i686.manylinux1_i686.manylinux_2_17_i686.manylinux2014_i686.whl", hash = "sha256:c4624843c03a5337282a42247d987c2531193e57255ee307b36eeb4f243a0c21"}, + {file = "geventhttpclient-2.3.1-cp310-cp310-manylinux_2_5_x86_64.manylinux1_x86_64.manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:d614573621ba827c417786057e1e20e9f96c4f6b3878c55b1b7b54e1026693bc"}, + {file = "geventhttpclient-2.3.1-cp310-cp310-musllinux_1_1_aarch64.whl", hash = "sha256:5d51330a40ac9762879d0e296c279c1beae8cfa6484bb196ac829242c416b709"}, + {file = "geventhttpclient-2.3.1-cp310-cp310-musllinux_1_1_i686.whl", hash = "sha256:bc9f2162d4e8cb86bb5322d99bfd552088a3eacd540a841298f06bb8bc1f1f03"}, + {file = "geventhttpclient-2.3.1-cp310-cp310-musllinux_1_1_ppc64le.whl", hash = "sha256:06e59d3397e63c65ecc7a7561a5289f0cf2e2c2252e29632741e792f57f5d124"}, + {file = "geventhttpclient-2.3.1-cp310-cp310-musllinux_1_1_x86_64.whl", hash = "sha256:4436eef515b3e0c1d4a453ae32e047290e780a623c1eddb11026ae9d5fb03d42"}, + {file = "geventhttpclient-2.3.1-cp310-cp310-win32.whl", hash = "sha256:5d1cf7d8a4f8e15cc8fd7d88ac4cdb058d6274203a42587e594cc9f0850ac862"}, + {file = "geventhttpclient-2.3.1-cp310-cp310-win_amd64.whl", hash = "sha256:4deaebc121036f7ea95430c2d0f80ab085b15280e6ab677a6360b70e57020e7f"}, + {file = "geventhttpclient-2.3.1-cp311-cp311-macosx_10_9_universal2.whl", hash = "sha256:f0ae055b9ce1704f2ce72c0847df28f4e14dbb3eea79256cda6c909d82688ea3"}, + {file = "geventhttpclient-2.3.1-cp311-cp311-macosx_10_9_x86_64.whl", hash = "sha256:f087af2ac439495b5388841d6f3c4de8d2573ca9870593d78f7b554aa5cfa7f5"}, + {file = "geventhttpclient-2.3.1-cp311-cp311-macosx_11_0_arm64.whl", hash = "sha256:76c367d175810facfe56281e516c9a5a4a191eff76641faaa30aa33882ed4b2f"}, + {file = "geventhttpclient-2.3.1-cp311-cp311-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:a58376d0d461fe0322ff2ad362553b437daee1eeb92b4c0e3b1ffef9e77defbe"}, + {file = "geventhttpclient-2.3.1-cp311-cp311-manylinux_2_17_ppc64le.manylinux2014_ppc64le.whl", hash = "sha256:f440cc704f8a9869848a109b2c401805c17c070539b2014e7b884ecfc8591e33"}, + {file = "geventhttpclient-2.3.1-cp311-cp311-manylinux_2_5_i686.manylinux1_i686.manylinux_2_17_i686.manylinux2014_i686.whl", hash = "sha256:f10c62994f9052f23948c19de930b2d1f063240462c8bd7077c2b3290e61f4fa"}, + {file = "geventhttpclient-2.3.1-cp311-cp311-manylinux_2_5_x86_64.manylinux1_x86_64.manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:52c45d9f3dd9627844c12e9ca347258c7be585bed54046336220e25ea6eac155"}, + {file = "geventhttpclient-2.3.1-cp311-cp311-musllinux_1_1_aarch64.whl", hash = "sha256:77c1a2c6e3854bf87cd5588b95174640c8a881716bd07fa0d131d082270a6795"}, + {file = "geventhttpclient-2.3.1-cp311-cp311-musllinux_1_1_i686.whl", hash = "sha256:ce649d4e25c2d56023471df0bf1e8e2ab67dfe4ff12ce3e8fe7e6fae30cd672a"}, + {file = "geventhttpclient-2.3.1-cp311-cp311-musllinux_1_1_ppc64le.whl", hash = "sha256:265d9f31b4ac8f688eebef0bd4c814ffb37a16f769ad0c8c8b8c24a84db8eab5"}, + {file = "geventhttpclient-2.3.1-cp311-cp311-musllinux_1_1_x86_64.whl", hash = "sha256:2de436a9d61dae877e4e811fb3e2594e2a1df1b18f4280878f318aef48a562b9"}, + {file = "geventhttpclient-2.3.1-cp311-cp311-win32.whl", hash = "sha256:83e22178b9480b0a95edf0053d4f30b717d0b696b3c262beabe6964d9c5224b1"}, + {file = "geventhttpclient-2.3.1-cp311-cp311-win_amd64.whl", hash = "sha256:97b072a282233384c1302a7dee88ad8bfedc916f06b1bc1da54f84980f1406a9"}, + {file = "geventhttpclient-2.3.1-cp312-cp312-macosx_10_9_universal2.whl", hash = "sha256:e1c90abcc2735cd8dd2d2572a13da32f6625392dc04862decb5c6476a3ddee22"}, + {file = "geventhttpclient-2.3.1-cp312-cp312-macosx_10_9_x86_64.whl", hash = "sha256:5deb41c2f51247b4e568c14964f59d7b8e537eff51900564c88af3200004e678"}, + {file = "geventhttpclient-2.3.1-cp312-cp312-macosx_11_0_arm64.whl", hash = "sha256:c6f1a56a66a90c4beae2f009b5e9d42db9a58ced165aa35441ace04d69cb7b37"}, + {file = "geventhttpclient-2.3.1-cp312-cp312-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:8ee6e741849c29e3129b1ec3828ac3a5e5dcb043402f852ea92c52334fb8cabf"}, + {file = "geventhttpclient-2.3.1-cp312-cp312-manylinux_2_17_ppc64le.manylinux2014_ppc64le.whl", hash = "sha256:0d0972096a63b1ddaa73fa3dab2c7a136e3ab8bf7999a2f85a5dee851fa77cdd"}, + {file = "geventhttpclient-2.3.1-cp312-cp312-manylinux_2_5_i686.manylinux1_i686.manylinux_2_17_i686.manylinux2014_i686.whl", hash = "sha256:00675ba682fb7d19d659c14686fa8a52a65e3f301b56c2a4ee6333b380dd9467"}, + {file = "geventhttpclient-2.3.1-cp312-cp312-manylinux_2_5_x86_64.manylinux1_x86_64.manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:ea77b67c186df90473416f4403839728f70ef6cf1689cec97b4f6bbde392a8a8"}, + {file = "geventhttpclient-2.3.1-cp312-cp312-musllinux_1_1_aarch64.whl", hash = "sha256:ddcc3f0fdffd9a3801e1005b73026202cffed8199863fdef9315bea9a860a032"}, + {file = "geventhttpclient-2.3.1-cp312-cp312-musllinux_1_1_i686.whl", hash = "sha256:c9f1ef4ec048563cc621a47ff01a4f10048ff8b676d7a4d75e5433ed8e703e56"}, + {file = "geventhttpclient-2.3.1-cp312-cp312-musllinux_1_1_ppc64le.whl", hash = "sha256:a364b30bec7a0a00dbe256e2b6807e4dc866bead7ac84aaa51ca5e2c3d15c258"}, + {file = "geventhttpclient-2.3.1-cp312-cp312-musllinux_1_1_x86_64.whl", hash = "sha256:25d255383d3d6a6fbd643bb51ae1a7e4f6f7b0dbd5f3225b537d0bd0432eaf39"}, + {file = "geventhttpclient-2.3.1-cp312-cp312-win32.whl", hash = "sha256:ad0b507e354d2f398186dcb12fe526d0594e7c9387b514fb843f7a14fdf1729a"}, + {file = "geventhttpclient-2.3.1-cp312-cp312-win_amd64.whl", hash = "sha256:7924e0883bc2b177cfe27aa65af6bb9dd57f3e26905c7675a2d1f3ef69df7cca"}, + {file = "geventhttpclient-2.3.1-cp39-cp39-macosx_10_9_universal2.whl", hash = "sha256:fe912c6456faab196b952adcd63e9353a0d5c8deb31c8d733d38f4f0ab22e359"}, + {file = "geventhttpclient-2.3.1-cp39-cp39-macosx_10_9_x86_64.whl", hash = "sha256:8b599359779c2278018786c35d70664d441a7cd0d6baef2b2cd0d1685cf478ed"}, + {file = "geventhttpclient-2.3.1-cp39-cp39-macosx_11_0_arm64.whl", hash = "sha256:34107b506e2c40ec7784efa282469bf86888cacddced463dceeb58c201834897"}, + {file = "geventhttpclient-2.3.1-cp39-cp39-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:cc34031905b2b31a80d88cd33d7e42b81812950e5304860ab6a65ee2803e2046"}, + {file = "geventhttpclient-2.3.1-cp39-cp39-manylinux_2_17_ppc64le.manylinux2014_ppc64le.whl", hash = "sha256:50b54f67ba2087f4d9d2172065c5c5de0f0c7f865ac350116e5452de4be31444"}, + {file = "geventhttpclient-2.3.1-cp39-cp39-manylinux_2_5_i686.manylinux1_i686.manylinux_2_17_i686.manylinux2014_i686.whl", hash = "sha256:9ddeb431836c2ef7fd33c505a06180dc907b474e0e8537a43ff12e12c9bf0307"}, + {file = "geventhttpclient-2.3.1-cp39-cp39-manylinux_2_5_x86_64.manylinux1_x86_64.manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:4890713433ca19b081f70b5f7ad258a0979ec3354f9538b50b3ad7d0a86f88de"}, + {file = "geventhttpclient-2.3.1-cp39-cp39-musllinux_1_1_aarch64.whl", hash = "sha256:b8ca7dcbe94cb563341087b00b6fbd0fdd70b2acc1b5d963f9ebbfbc1e5e2893"}, + {file = "geventhttpclient-2.3.1-cp39-cp39-musllinux_1_1_i686.whl", hash = "sha256:05a1bbdd43ae36bcc10b3dbfa0806aefc5033a91efecfddfe56159446a46ea71"}, + {file = "geventhttpclient-2.3.1-cp39-cp39-musllinux_1_1_ppc64le.whl", hash = "sha256:f82c454595a88a5e510ae0985711ef398386998b6f37d90fc30e9ff1a2001280"}, + {file = "geventhttpclient-2.3.1-cp39-cp39-musllinux_1_1_x86_64.whl", hash = "sha256:6b032a5cdb1721921f4cd36aad620af318263b462962cfb23d648cdb93aab232"}, + {file = "geventhttpclient-2.3.1-cp39-cp39-win32.whl", hash = "sha256:ce2c7d18bac7ffdacc4a86cd490bea6136a7d1e1170f8624f2e3bbe3b189d5b8"}, + {file = "geventhttpclient-2.3.1-cp39-cp39-win_amd64.whl", hash = "sha256:6ca50dd9761971d3557b897108933b34fb4a11533d52f0f2753840c740a2861a"}, + {file = "geventhttpclient-2.3.1-pp310-pypy310_pp73-macosx_10_9_x86_64.whl", hash = "sha256:c31431e38df45b3c79bf3c9427c796adb8263d622bc6fa25e2f6ba916c2aad93"}, + {file = "geventhttpclient-2.3.1-pp310-pypy310_pp73-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:855ab1e145575769b180b57accb0573a77cd6a7392f40a6ef7bc9a4926ebd77b"}, + {file = "geventhttpclient-2.3.1-pp310-pypy310_pp73-manylinux_2_5_i686.manylinux1_i686.manylinux_2_17_i686.manylinux2014_i686.whl", hash = "sha256:4a374aad77c01539e786d0c7829bec2eba034ccd45733c1bf9811ad18d2a8ecd"}, + {file = "geventhttpclient-2.3.1-pp310-pypy310_pp73-manylinux_2_5_x86_64.manylinux1_x86_64.manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:66c1e97460608304f400485ac099736fff3566d3d8db2038533d466f8cf5de5a"}, + {file = "geventhttpclient-2.3.1-pp310-pypy310_pp73-win_amd64.whl", hash = "sha256:4f843f81ee44ba4c553a1b3f73115e0ad8f00044023c24db29f5b1df3da08465"}, + {file = "geventhttpclient-2.3.1-pp39-pypy39_pp73-macosx_10_9_x86_64.whl", hash = "sha256:321b73c73d73b85cfeff36b9b5ee04174ec8406fb3dadc129558a26ccb879360"}, + {file = "geventhttpclient-2.3.1-pp39-pypy39_pp73-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:829d03c2a140edbe74ad1fb4f850384f585f3e06fc47cfe647d065412b93926f"}, + {file = "geventhttpclient-2.3.1-pp39-pypy39_pp73-manylinux_2_5_i686.manylinux1_i686.manylinux_2_17_i686.manylinux2014_i686.whl", hash = "sha256:994c543f156db7bce3bae15491a0e041eeb3f1cf467e0d1db0c161a900a90bec"}, + {file = "geventhttpclient-2.3.1-pp39-pypy39_pp73-manylinux_2_5_x86_64.manylinux1_x86_64.manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:b4beff505306aa9da5cdfe2f206b403ec7c8d06a22d6b7248365772858c4ee8c"}, + {file = "geventhttpclient-2.3.1-pp39-pypy39_pp73-win_amd64.whl", hash = "sha256:fb0a9673074541ccda09a2423fa16f4528819ceb1ba19d252213f6aca7d4b44a"}, + {file = "geventhttpclient-2.3.1.tar.gz", hash = "sha256:b40ddac8517c456818942c7812f555f84702105c82783238c9fcb8dc12675185"}, ] [package.dependencies] @@ -2470,13 +2447,13 @@ examples = ["oauth2"] [[package]] name = "google-ai-generativelanguage" -version = "0.6.2" +version = "0.6.4" description = "Google Ai Generativelanguage API client library" optional = false python-versions = ">=3.7" files = [ - {file = "google-ai-generativelanguage-0.6.2.tar.gz", hash = "sha256:308791ac3b9dad015b359172970739aa3753dd542142a416d07f9fa047e22386"}, - {file = "google_ai_generativelanguage-0.6.2-py3-none-any.whl", hash = "sha256:bf84c34c641570d7e8a1f2e6901e6771af1438f2ee8307d1801fd43585f9b1c6"}, + {file = "google-ai-generativelanguage-0.6.4.tar.gz", hash = "sha256:1750848c12af96cb24ae1c3dd05e4bfe24867dc4577009ed03e1042d8421e874"}, + {file = "google_ai_generativelanguage-0.6.4-py3-none-any.whl", hash = "sha256:730e471aa549797118fb1c88421ba1957741433ada575cf5dd08d3aebf903ab1"}, ] [package.dependencies] @@ -2487,13 +2464,13 @@ protobuf = ">=3.19.5,<3.20.0 || >3.20.0,<3.20.1 || >3.20.1,<4.21.0 || >4.21.0,<4 [[package]] name = "google-api-core" -version = "2.18.0" +version = "2.19.0" description = "Google API client core library" optional = false python-versions = ">=3.7" files = [ - {file = "google-api-core-2.18.0.tar.gz", hash = "sha256:62d97417bfc674d6cef251e5c4d639a9655e00c45528c4364fbfebb478ce72a9"}, - {file = "google_api_core-2.18.0-py3-none-any.whl", hash = "sha256:5a63aa102e0049abe85b5b88cb9409234c1f70afcda21ce1e40b285b9629c1d6"}, + {file = "google-api-core-2.19.0.tar.gz", hash = "sha256:cf1b7c2694047886d2af1128a03ae99e391108a08804f87cfd35970e49c9cd10"}, + {file = "google_api_core-2.19.0-py3-none-any.whl", hash = "sha256:8661eec4078c35428fd3f69a2c7ee29e342896b70f01d1a1cbcb334372dd6251"}, ] [package.dependencies] @@ -2518,13 +2495,13 @@ grpcio-gcp = ["grpcio-gcp (>=0.2.2,<1.0.dev0)"] [[package]] name = "google-api-python-client" -version = "2.126.0" +version = "2.130.0" description = "Google API Client Library for Python" optional = false python-versions = ">=3.7" files = [ - {file = "google-api-python-client-2.126.0.tar.gz", hash = "sha256:97c0410630e2bebd194d99e91bd620dab5bc6b6ec0bf033f9a9109b700b83acb"}, - {file = "google_api_python_client-2.126.0-py2.py3-none-any.whl", hash = "sha256:299255fdb8dddf4eb96ab99e8358991160900b4109a9e0d3e3ac127c04b1e2ee"}, + {file = "google-api-python-client-2.130.0.tar.gz", hash = "sha256:2bba3122b82a649c677b8a694b8e2bbf2a5fbf3420265caf3343bb88e2e9f0ae"}, + {file = "google_api_python_client-2.130.0-py2.py3-none-any.whl", hash = "sha256:7d45a28d738628715944a9c9d73e8696e7e03ac50b7de87f5e3035cefa94ed3a"}, ] [package.dependencies] @@ -2572,18 +2549,234 @@ files = [ google-auth = "*" httplib2 = ">=0.19.0" +[[package]] +name = "google-cloud-aiplatform" +version = "1.52.0" +description = "Vertex AI API client library" +optional = false +python-versions = ">=3.8" +files = [ + {file = "google-cloud-aiplatform-1.52.0.tar.gz", hash = "sha256:932a56e3050b4bc9a2c0630e6af3c0bd52f0bcf72b5dc01c059874231099edd3"}, + {file = "google_cloud_aiplatform-1.52.0-py2.py3-none-any.whl", hash = "sha256:8c62f5d0ec39e008737ebba4875105ed7563dd0958f591f95dc7816e4b30f92a"}, +] + +[package.dependencies] +docstring-parser = "<1" +google-api-core = {version = ">=1.34.1,<2.0.dev0 || >=2.8.dev0,<3.0.0dev", extras = ["grpc"]} +google-auth = ">=2.14.1,<3.0.0dev" +google-cloud-bigquery = ">=1.15.0,<3.20.0 || >3.20.0,<4.0.0dev" +google-cloud-resource-manager = ">=1.3.3,<3.0.0dev" +google-cloud-storage = ">=1.32.0,<3.0.0dev" +packaging = ">=14.3" +proto-plus = ">=1.22.0,<2.0.0dev" +protobuf = ">=3.19.5,<3.20.0 || >3.20.0,<3.20.1 || >3.20.1,<4.21.0 || >4.21.0,<4.21.1 || >4.21.1,<4.21.2 || >4.21.2,<4.21.3 || >4.21.3,<4.21.4 || >4.21.4,<4.21.5 || >4.21.5,<5.0.0dev" +pydantic = "<3" +shapely = "<3.0.0dev" + +[package.extras] +autologging = ["mlflow (>=1.27.0,<=2.1.1)"] +cloud-profiler = ["tensorboard-plugin-profile (>=2.4.0,<3.0.0dev)", "tensorflow (>=2.4.0,<3.0.0dev)", "werkzeug (>=2.0.0,<2.1.0dev)"] +datasets = ["pyarrow (>=10.0.1)", "pyarrow (>=14.0.0)", "pyarrow (>=3.0.0,<8.0dev)"] +endpoint = ["requests (>=2.28.1)"] +full = ["cloudpickle (<3.0)", "docker (>=5.0.3)", "explainable-ai-sdk (>=1.0.0)", "fastapi (>=0.71.0,<=0.109.1)", "google-cloud-bigquery", "google-cloud-bigquery-storage", "google-cloud-logging (<4.0)", "google-vizier (>=0.1.6)", "httpx (>=0.23.0,<0.25.0)", "immutabledict", "lit-nlp (==0.4.0)", "mlflow (>=1.27.0,<=2.1.1)", "nest-asyncio (>=1.0.0,<1.6.0)", "numpy (>=1.15.0)", "pandas (>=1.0.0)", "pandas (>=1.0.0,<2.2.0)", "pyarrow (>=10.0.1)", "pyarrow (>=14.0.0)", "pyarrow (>=3.0.0,<8.0dev)", "pyarrow (>=6.0.1)", "pydantic (<2)", "pyyaml (>=5.3.1,<7)", "ray[default] (>=2.4,<2.5.dev0 || >2.9.0,!=2.9.1,!=2.9.2,<=2.9.3)", "ray[default] (>=2.5,<=2.9.3)", "requests (>=2.28.1)", "starlette (>=0.17.1)", "tensorflow (>=2.3.0,<3.0.0dev)", "tensorflow (>=2.3.0,<3.0.0dev)", "urllib3 (>=1.21.1,<1.27)", "uvicorn[standard] (>=0.16.0)"] +langchain = ["langchain (>=0.1.16,<0.2)", "langchain-core (<0.2)", "langchain-google-vertexai (<2)"] +langchain-testing = ["absl-py", "cloudpickle (>=2.2.1,<4.0)", "langchain (>=0.1.16,<0.2)", "langchain-core (<0.2)", "langchain-google-vertexai (<2)", "pydantic (>=2.6.3,<3)", "pytest-xdist"] +lit = ["explainable-ai-sdk (>=1.0.0)", "lit-nlp (==0.4.0)", "pandas (>=1.0.0)", "tensorflow (>=2.3.0,<3.0.0dev)"] +metadata = ["numpy (>=1.15.0)", "pandas (>=1.0.0)"] +pipelines = ["pyyaml (>=5.3.1,<7)"] +prediction = ["docker (>=5.0.3)", "fastapi (>=0.71.0,<=0.109.1)", "httpx (>=0.23.0,<0.25.0)", "starlette (>=0.17.1)", "uvicorn[standard] (>=0.16.0)"] +preview = ["cloudpickle (<3.0)", "google-cloud-logging (<4.0)"] +private-endpoints = ["requests (>=2.28.1)", "urllib3 (>=1.21.1,<1.27)"] +rapid-evaluation = ["nest-asyncio (>=1.0.0,<1.6.0)", "pandas (>=1.0.0,<2.2.0)"] +ray = ["google-cloud-bigquery", "google-cloud-bigquery-storage", "immutabledict", "pandas (>=1.0.0,<2.2.0)", "pyarrow (>=6.0.1)", "pydantic (<2)", "ray[default] (>=2.4,<2.5.dev0 || >2.9.0,!=2.9.1,!=2.9.2,<=2.9.3)", "ray[default] (>=2.5,<=2.9.3)"] +ray-testing = ["google-cloud-bigquery", "google-cloud-bigquery-storage", "immutabledict", "pandas (>=1.0.0,<2.2.0)", "pyarrow (>=6.0.1)", "pydantic (<2)", "pytest-xdist", "ray[default] (>=2.4,<2.5.dev0 || >2.9.0,!=2.9.1,!=2.9.2,<=2.9.3)", "ray[default] (>=2.5,<=2.9.3)", "ray[train] (>=2.4,<2.5.dev0 || >2.9.0,!=2.9.1,!=2.9.2,<=2.9.3)", "scikit-learn", "tensorflow", "torch (>=2.0.0,<2.1.0)", "xgboost", "xgboost-ray"] +reasoningengine = ["cloudpickle (>=2.2.1,<4.0)", "pydantic (>=2.6.3,<3)"] +tensorboard = ["tensorflow (>=2.3.0,<3.0.0dev)"] +testing = ["bigframes", "cloudpickle (<3.0)", "docker (>=5.0.3)", "explainable-ai-sdk (>=1.0.0)", "fastapi (>=0.71.0,<=0.109.1)", "google-api-core (>=2.11,<3.0.0)", "google-cloud-bigquery", "google-cloud-bigquery-storage", "google-cloud-logging (<4.0)", "google-vizier (>=0.1.6)", "grpcio-testing", "httpx (>=0.23.0,<0.25.0)", "immutabledict", "ipython", "kfp (>=2.6.0,<3.0.0)", "lit-nlp (==0.4.0)", "mlflow (>=1.27.0,<=2.1.1)", "nest-asyncio (>=1.0.0,<1.6.0)", "numpy (>=1.15.0)", "pandas (>=1.0.0)", "pandas (>=1.0.0,<2.2.0)", "pyarrow (>=10.0.1)", "pyarrow (>=14.0.0)", "pyarrow (>=3.0.0,<8.0dev)", "pyarrow (>=6.0.1)", "pydantic (<2)", "pyfakefs", "pytest-asyncio", "pytest-xdist", "pyyaml (>=5.3.1,<7)", "ray[default] (>=2.4,<2.5.dev0 || >2.9.0,!=2.9.1,!=2.9.2,<=2.9.3)", "ray[default] (>=2.5,<=2.9.3)", "requests (>=2.28.1)", "requests-toolbelt (<1.0.0)", "scikit-learn", "starlette (>=0.17.1)", "tensorboard-plugin-profile (>=2.4.0,<3.0.0dev)", "tensorflow (==2.13.0)", "tensorflow (==2.16.1)", "tensorflow (>=2.3.0,<3.0.0dev)", "tensorflow (>=2.3.0,<3.0.0dev)", "tensorflow (>=2.4.0,<3.0.0dev)", "torch (>=2.0.0,<2.1.0)", "torch (>=2.2.0)", "urllib3 (>=1.21.1,<1.27)", "uvicorn[standard] (>=0.16.0)", "werkzeug (>=2.0.0,<2.1.0dev)", "xgboost"] +vizier = ["google-vizier (>=0.1.6)"] +xai = ["tensorflow (>=2.3.0,<3.0.0dev)"] + +[[package]] +name = "google-cloud-bigquery" +version = "3.23.1" +description = "Google BigQuery API client library" +optional = false +python-versions = ">=3.7" +files = [ + {file = "google-cloud-bigquery-3.23.1.tar.gz", hash = "sha256:4b4597f9291b42102c9667d3b4528f801d4c8f24ef2b12dd1ecb881273330955"}, + {file = "google_cloud_bigquery-3.23.1-py2.py3-none-any.whl", hash = "sha256:9fb72884fdbec9c4643cea6b7f21e1ecf3eb61d5305f87493d271dc801647a9e"}, +] + +[package.dependencies] +google-api-core = {version = ">=1.34.1,<2.0.dev0 || >=2.11.dev0,<3.0.0dev", extras = ["grpc"]} +google-auth = ">=2.14.1,<3.0.0dev" +google-cloud-core = ">=1.6.0,<3.0.0dev" +google-resumable-media = ">=0.6.0,<3.0dev" +packaging = ">=20.0.0" +python-dateutil = ">=2.7.2,<3.0dev" +requests = ">=2.21.0,<3.0.0dev" + +[package.extras] +all = ["Shapely (>=1.8.4,<3.0.0dev)", "db-dtypes (>=0.3.0,<2.0.0dev)", "geopandas (>=0.9.0,<1.0dev)", "google-cloud-bigquery-storage (>=2.6.0,<3.0.0dev)", "grpcio (>=1.47.0,<2.0dev)", "grpcio (>=1.49.1,<2.0dev)", "importlib-metadata (>=1.0.0)", "ipykernel (>=6.0.0)", "ipython (>=7.23.1,!=8.1.0)", "ipywidgets (>=7.7.0)", "opentelemetry-api (>=1.1.0)", "opentelemetry-instrumentation (>=0.20b0)", "opentelemetry-sdk (>=1.1.0)", "pandas (>=1.1.0)", "proto-plus (>=1.15.0,<2.0.0dev)", "protobuf (>=3.19.5,!=3.20.0,!=3.20.1,!=4.21.0,!=4.21.1,!=4.21.2,!=4.21.3,!=4.21.4,!=4.21.5,<5.0.0dev)", "pyarrow (>=3.0.0)", "tqdm (>=4.7.4,<5.0.0dev)"] +bigquery-v2 = ["proto-plus (>=1.15.0,<2.0.0dev)", "protobuf (>=3.19.5,!=3.20.0,!=3.20.1,!=4.21.0,!=4.21.1,!=4.21.2,!=4.21.3,!=4.21.4,!=4.21.5,<5.0.0dev)"] +bqstorage = ["google-cloud-bigquery-storage (>=2.6.0,<3.0.0dev)", "grpcio (>=1.47.0,<2.0dev)", "grpcio (>=1.49.1,<2.0dev)", "pyarrow (>=3.0.0)"] +geopandas = ["Shapely (>=1.8.4,<3.0.0dev)", "geopandas (>=0.9.0,<1.0dev)"] +ipython = ["ipykernel (>=6.0.0)", "ipython (>=7.23.1,!=8.1.0)"] +ipywidgets = ["ipykernel (>=6.0.0)", "ipywidgets (>=7.7.0)"] +opentelemetry = ["opentelemetry-api (>=1.1.0)", "opentelemetry-instrumentation (>=0.20b0)", "opentelemetry-sdk (>=1.1.0)"] +pandas = ["db-dtypes (>=0.3.0,<2.0.0dev)", "importlib-metadata (>=1.0.0)", "pandas (>=1.1.0)", "pyarrow (>=3.0.0)"] +tqdm = ["tqdm (>=4.7.4,<5.0.0dev)"] + +[[package]] +name = "google-cloud-core" +version = "2.4.1" +description = "Google Cloud API client core library" +optional = false +python-versions = ">=3.7" +files = [ + {file = "google-cloud-core-2.4.1.tar.gz", hash = "sha256:9b7749272a812bde58fff28868d0c5e2f585b82f37e09a1f6ed2d4d10f134073"}, + {file = "google_cloud_core-2.4.1-py2.py3-none-any.whl", hash = "sha256:a9e6a4422b9ac5c29f79a0ede9485473338e2ce78d91f2370c01e730eab22e61"}, +] + +[package.dependencies] +google-api-core = ">=1.31.6,<2.0.dev0 || >2.3.0,<3.0.0dev" +google-auth = ">=1.25.0,<3.0dev" + +[package.extras] +grpc = ["grpcio (>=1.38.0,<2.0dev)", "grpcio-status (>=1.38.0,<2.0.dev0)"] + +[[package]] +name = "google-cloud-resource-manager" +version = "1.12.3" +description = "Google Cloud Resource Manager API client library" +optional = false +python-versions = ">=3.7" +files = [ + {file = "google-cloud-resource-manager-1.12.3.tar.gz", hash = "sha256:809851824119834e4f2310b2c4f38621c1d16b2bb14d5b9f132e69c79d355e7f"}, + {file = "google_cloud_resource_manager-1.12.3-py2.py3-none-any.whl", hash = "sha256:92be7d6959927b76d90eafc4028985c37975a46ded5466a018f02e8649e113d4"}, +] + +[package.dependencies] +google-api-core = {version = ">=1.34.1,<2.0.dev0 || >=2.11.dev0,<3.0.0dev", extras = ["grpc"]} +google-auth = ">=2.14.1,<2.24.0 || >2.24.0,<2.25.0 || >2.25.0,<3.0.0dev" +grpc-google-iam-v1 = ">=0.12.4,<1.0.0dev" +proto-plus = ">=1.22.3,<2.0.0dev" +protobuf = ">=3.19.5,<3.20.0 || >3.20.0,<3.20.1 || >3.20.1,<4.21.0 || >4.21.0,<4.21.1 || >4.21.1,<4.21.2 || >4.21.2,<4.21.3 || >4.21.3,<4.21.4 || >4.21.4,<4.21.5 || >4.21.5,<5.0.0dev" + +[[package]] +name = "google-cloud-storage" +version = "2.16.0" +description = "Google Cloud Storage API client library" +optional = false +python-versions = ">=3.7" +files = [ + {file = "google-cloud-storage-2.16.0.tar.gz", hash = "sha256:dda485fa503710a828d01246bd16ce9db0823dc51bbca742ce96a6817d58669f"}, + {file = "google_cloud_storage-2.16.0-py2.py3-none-any.whl", hash = "sha256:91a06b96fb79cf9cdfb4e759f178ce11ea885c79938f89590344d079305f5852"}, +] + +[package.dependencies] +google-api-core = ">=2.15.0,<3.0.0dev" +google-auth = ">=2.26.1,<3.0dev" +google-cloud-core = ">=2.3.0,<3.0dev" +google-crc32c = ">=1.0,<2.0dev" +google-resumable-media = ">=2.6.0" +requests = ">=2.18.0,<3.0.0dev" + +[package.extras] +protobuf = ["protobuf (<5.0.0dev)"] + +[[package]] +name = "google-crc32c" +version = "1.5.0" +description = "A python wrapper of the C library 'Google CRC32C'" +optional = false +python-versions = ">=3.7" +files = [ + {file = "google-crc32c-1.5.0.tar.gz", hash = "sha256:89284716bc6a5a415d4eaa11b1726d2d60a0cd12aadf5439828353662ede9dd7"}, + {file = "google_crc32c-1.5.0-cp310-cp310-macosx_10_9_universal2.whl", hash = "sha256:596d1f98fc70232fcb6590c439f43b350cb762fb5d61ce7b0e9db4539654cc13"}, + {file = "google_crc32c-1.5.0-cp310-cp310-macosx_10_9_x86_64.whl", hash = "sha256:be82c3c8cfb15b30f36768797a640e800513793d6ae1724aaaafe5bf86f8f346"}, + {file = "google_crc32c-1.5.0-cp310-cp310-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:461665ff58895f508e2866824a47bdee72497b091c730071f2b7575d5762ab65"}, + {file = "google_crc32c-1.5.0-cp310-cp310-manylinux_2_17_i686.manylinux2014_i686.whl", hash = "sha256:e2096eddb4e7c7bdae4bd69ad364e55e07b8316653234a56552d9c988bd2d61b"}, + {file = "google_crc32c-1.5.0-cp310-cp310-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:116a7c3c616dd14a3de8c64a965828b197e5f2d121fedd2f8c5585c547e87b02"}, + {file = "google_crc32c-1.5.0-cp310-cp310-musllinux_1_1_aarch64.whl", hash = "sha256:5829b792bf5822fd0a6f6eb34c5f81dd074f01d570ed7f36aa101d6fc7a0a6e4"}, + {file = "google_crc32c-1.5.0-cp310-cp310-musllinux_1_1_i686.whl", hash = "sha256:64e52e2b3970bd891309c113b54cf0e4384762c934d5ae56e283f9a0afcd953e"}, + {file = "google_crc32c-1.5.0-cp310-cp310-musllinux_1_1_x86_64.whl", hash = "sha256:02ebb8bf46c13e36998aeaad1de9b48f4caf545e91d14041270d9dca767b780c"}, + {file = "google_crc32c-1.5.0-cp310-cp310-win32.whl", hash = "sha256:2e920d506ec85eb4ba50cd4228c2bec05642894d4c73c59b3a2fe20346bd00ee"}, + {file = "google_crc32c-1.5.0-cp310-cp310-win_amd64.whl", hash = "sha256:07eb3c611ce363c51a933bf6bd7f8e3878a51d124acfc89452a75120bc436289"}, + {file = "google_crc32c-1.5.0-cp311-cp311-macosx_10_9_universal2.whl", hash = "sha256:cae0274952c079886567f3f4f685bcaf5708f0a23a5f5216fdab71f81a6c0273"}, + {file = "google_crc32c-1.5.0-cp311-cp311-macosx_10_9_x86_64.whl", hash = "sha256:1034d91442ead5a95b5aaef90dbfaca8633b0247d1e41621d1e9f9db88c36298"}, + {file = "google_crc32c-1.5.0-cp311-cp311-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:7c42c70cd1d362284289c6273adda4c6af8039a8ae12dc451dcd61cdabb8ab57"}, + {file = "google_crc32c-1.5.0-cp311-cp311-manylinux_2_17_i686.manylinux2014_i686.whl", hash = "sha256:8485b340a6a9e76c62a7dce3c98e5f102c9219f4cfbf896a00cf48caf078d438"}, + {file = "google_crc32c-1.5.0-cp311-cp311-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:77e2fd3057c9d78e225fa0a2160f96b64a824de17840351b26825b0848022906"}, + {file = "google_crc32c-1.5.0-cp311-cp311-musllinux_1_1_aarch64.whl", hash = "sha256:f583edb943cf2e09c60441b910d6a20b4d9d626c75a36c8fcac01a6c96c01183"}, + {file = "google_crc32c-1.5.0-cp311-cp311-musllinux_1_1_i686.whl", hash = "sha256:a1fd716e7a01f8e717490fbe2e431d2905ab8aa598b9b12f8d10abebb36b04dd"}, + {file = "google_crc32c-1.5.0-cp311-cp311-musllinux_1_1_x86_64.whl", hash = "sha256:72218785ce41b9cfd2fc1d6a017dc1ff7acfc4c17d01053265c41a2c0cc39b8c"}, + {file = "google_crc32c-1.5.0-cp311-cp311-win32.whl", hash = "sha256:66741ef4ee08ea0b2cc3c86916ab66b6aef03768525627fd6a1b34968b4e3709"}, + {file = "google_crc32c-1.5.0-cp311-cp311-win_amd64.whl", hash = "sha256:ba1eb1843304b1e5537e1fca632fa894d6f6deca8d6389636ee5b4797affb968"}, + {file = "google_crc32c-1.5.0-cp37-cp37m-macosx_10_9_x86_64.whl", hash = "sha256:98cb4d057f285bd80d8778ebc4fde6b4d509ac3f331758fb1528b733215443ae"}, + {file = "google_crc32c-1.5.0-cp37-cp37m-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:fd8536e902db7e365f49e7d9029283403974ccf29b13fc7028b97e2295b33556"}, + {file = "google_crc32c-1.5.0-cp37-cp37m-manylinux_2_17_i686.manylinux2014_i686.whl", hash = "sha256:19e0a019d2c4dcc5e598cd4a4bc7b008546b0358bd322537c74ad47a5386884f"}, + {file = "google_crc32c-1.5.0-cp37-cp37m-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:02c65b9817512edc6a4ae7c7e987fea799d2e0ee40c53ec573a692bee24de876"}, + {file = "google_crc32c-1.5.0-cp37-cp37m-manylinux_2_5_x86_64.manylinux1_x86_64.whl", hash = "sha256:6ac08d24c1f16bd2bf5eca8eaf8304812f44af5cfe5062006ec676e7e1d50afc"}, + {file = "google_crc32c-1.5.0-cp37-cp37m-musllinux_1_1_aarch64.whl", hash = "sha256:3359fc442a743e870f4588fcf5dcbc1bf929df1fad8fb9905cd94e5edb02e84c"}, + {file = "google_crc32c-1.5.0-cp37-cp37m-musllinux_1_1_i686.whl", hash = "sha256:1e986b206dae4476f41bcec1faa057851f3889503a70e1bdb2378d406223994a"}, + {file = "google_crc32c-1.5.0-cp37-cp37m-musllinux_1_1_x86_64.whl", hash = "sha256:de06adc872bcd8c2a4e0dc51250e9e65ef2ca91be023b9d13ebd67c2ba552e1e"}, + {file = "google_crc32c-1.5.0-cp37-cp37m-win32.whl", hash = "sha256:d3515f198eaa2f0ed49f8819d5732d70698c3fa37384146079b3799b97667a94"}, + {file = "google_crc32c-1.5.0-cp37-cp37m-win_amd64.whl", hash = "sha256:67b741654b851abafb7bc625b6d1cdd520a379074e64b6a128e3b688c3c04740"}, + {file = "google_crc32c-1.5.0-cp38-cp38-macosx_10_9_universal2.whl", hash = "sha256:c02ec1c5856179f171e032a31d6f8bf84e5a75c45c33b2e20a3de353b266ebd8"}, + {file = "google_crc32c-1.5.0-cp38-cp38-macosx_10_9_x86_64.whl", hash = "sha256:edfedb64740750e1a3b16152620220f51d58ff1b4abceb339ca92e934775c27a"}, + {file = "google_crc32c-1.5.0-cp38-cp38-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:84e6e8cd997930fc66d5bb4fde61e2b62ba19d62b7abd7a69920406f9ecca946"}, + {file = "google_crc32c-1.5.0-cp38-cp38-manylinux_2_17_i686.manylinux2014_i686.whl", hash = "sha256:024894d9d3cfbc5943f8f230e23950cd4906b2fe004c72e29b209420a1e6b05a"}, + {file = "google_crc32c-1.5.0-cp38-cp38-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:998679bf62b7fb599d2878aa3ed06b9ce688b8974893e7223c60db155f26bd8d"}, + {file = "google_crc32c-1.5.0-cp38-cp38-manylinux_2_5_x86_64.manylinux1_x86_64.whl", hash = "sha256:83c681c526a3439b5cf94f7420471705bbf96262f49a6fe546a6db5f687a3d4a"}, + {file = "google_crc32c-1.5.0-cp38-cp38-musllinux_1_1_aarch64.whl", hash = "sha256:4c6fdd4fccbec90cc8a01fc00773fcd5fa28db683c116ee3cb35cd5da9ef6c37"}, + {file = "google_crc32c-1.5.0-cp38-cp38-musllinux_1_1_i686.whl", hash = "sha256:5ae44e10a8e3407dbe138984f21e536583f2bba1be9491239f942c2464ac0894"}, + {file = "google_crc32c-1.5.0-cp38-cp38-musllinux_1_1_x86_64.whl", hash = "sha256:37933ec6e693e51a5b07505bd05de57eee12f3e8c32b07da7e73669398e6630a"}, + {file = "google_crc32c-1.5.0-cp38-cp38-win32.whl", hash = "sha256:fe70e325aa68fa4b5edf7d1a4b6f691eb04bbccac0ace68e34820d283b5f80d4"}, + {file = "google_crc32c-1.5.0-cp38-cp38-win_amd64.whl", hash = "sha256:74dea7751d98034887dbd821b7aae3e1d36eda111d6ca36c206c44478035709c"}, + {file = "google_crc32c-1.5.0-cp39-cp39-macosx_10_9_universal2.whl", hash = "sha256:c6c777a480337ac14f38564ac88ae82d4cd238bf293f0a22295b66eb89ffced7"}, + {file = "google_crc32c-1.5.0-cp39-cp39-macosx_10_9_x86_64.whl", hash = "sha256:759ce4851a4bb15ecabae28f4d2e18983c244eddd767f560165563bf9aefbc8d"}, + {file = "google_crc32c-1.5.0-cp39-cp39-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:f13cae8cc389a440def0c8c52057f37359014ccbc9dc1f0827936bcd367c6100"}, + {file = "google_crc32c-1.5.0-cp39-cp39-manylinux_2_17_i686.manylinux2014_i686.whl", hash = "sha256:e560628513ed34759456a416bf86b54b2476c59144a9138165c9a1575801d0d9"}, + {file = "google_crc32c-1.5.0-cp39-cp39-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:e1674e4307fa3024fc897ca774e9c7562c957af85df55efe2988ed9056dc4e57"}, + {file = "google_crc32c-1.5.0-cp39-cp39-manylinux_2_5_x86_64.manylinux1_x86_64.whl", hash = "sha256:278d2ed7c16cfc075c91378c4f47924c0625f5fc84b2d50d921b18b7975bd210"}, + {file = "google_crc32c-1.5.0-cp39-cp39-musllinux_1_1_aarch64.whl", hash = "sha256:d5280312b9af0976231f9e317c20e4a61cd2f9629b7bfea6a693d1878a264ebd"}, + {file = "google_crc32c-1.5.0-cp39-cp39-musllinux_1_1_i686.whl", hash = "sha256:8b87e1a59c38f275c0e3676fc2ab6d59eccecfd460be267ac360cc31f7bcde96"}, + {file = "google_crc32c-1.5.0-cp39-cp39-musllinux_1_1_x86_64.whl", hash = "sha256:7c074fece789b5034b9b1404a1f8208fc2d4c6ce9decdd16e8220c5a793e6f61"}, + {file = "google_crc32c-1.5.0-cp39-cp39-win32.whl", hash = "sha256:7f57f14606cd1dd0f0de396e1e53824c371e9544a822648cd76c034d209b559c"}, + {file = "google_crc32c-1.5.0-cp39-cp39-win_amd64.whl", hash = "sha256:a2355cba1f4ad8b6988a4ca3feed5bff33f6af2d7f134852cf279c2aebfde541"}, + {file = "google_crc32c-1.5.0-pp37-pypy37_pp73-macosx_10_9_x86_64.whl", hash = "sha256:f314013e7dcd5cf45ab1945d92e713eec788166262ae8deb2cfacd53def27325"}, + {file = "google_crc32c-1.5.0-pp37-pypy37_pp73-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:3b747a674c20a67343cb61d43fdd9207ce5da6a99f629c6e2541aa0e89215bcd"}, + {file = "google_crc32c-1.5.0-pp37-pypy37_pp73-manylinux_2_17_i686.manylinux2014_i686.whl", hash = "sha256:8f24ed114432de109aa9fd317278518a5af2d31ac2ea6b952b2f7782b43da091"}, + {file = "google_crc32c-1.5.0-pp37-pypy37_pp73-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:b8667b48e7a7ef66afba2c81e1094ef526388d35b873966d8a9a447974ed9178"}, + {file = "google_crc32c-1.5.0-pp37-pypy37_pp73-win_amd64.whl", hash = "sha256:1c7abdac90433b09bad6c43a43af253e688c9cfc1c86d332aed13f9a7c7f65e2"}, + {file = "google_crc32c-1.5.0-pp38-pypy38_pp73-macosx_10_9_x86_64.whl", hash = "sha256:6f998db4e71b645350b9ac28a2167e6632c239963ca9da411523bb439c5c514d"}, + {file = "google_crc32c-1.5.0-pp38-pypy38_pp73-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:9c99616c853bb585301df6de07ca2cadad344fd1ada6d62bb30aec05219c45d2"}, + {file = "google_crc32c-1.5.0-pp38-pypy38_pp73-manylinux_2_17_i686.manylinux2014_i686.whl", hash = "sha256:2ad40e31093a4af319dadf503b2467ccdc8f67c72e4bcba97f8c10cb078207b5"}, + {file = "google_crc32c-1.5.0-pp38-pypy38_pp73-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:cd67cf24a553339d5062eff51013780a00d6f97a39ca062781d06b3a73b15462"}, + {file = "google_crc32c-1.5.0-pp38-pypy38_pp73-win_amd64.whl", hash = "sha256:398af5e3ba9cf768787eef45c803ff9614cc3e22a5b2f7d7ae116df8b11e3314"}, + {file = "google_crc32c-1.5.0-pp39-pypy39_pp73-macosx_10_9_x86_64.whl", hash = "sha256:b1f8133c9a275df5613a451e73f36c2aea4fe13c5c8997e22cf355ebd7bd0728"}, + {file = "google_crc32c-1.5.0-pp39-pypy39_pp73-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:9ba053c5f50430a3fcfd36f75aff9caeba0440b2d076afdb79a318d6ca245f88"}, + {file = "google_crc32c-1.5.0-pp39-pypy39_pp73-manylinux_2_17_i686.manylinux2014_i686.whl", hash = "sha256:272d3892a1e1a2dbc39cc5cde96834c236d5327e2122d3aaa19f6614531bb6eb"}, + {file = "google_crc32c-1.5.0-pp39-pypy39_pp73-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:635f5d4dd18758a1fbd1049a8e8d2fee4ffed124462d837d1a02a0e009c3ab31"}, + {file = "google_crc32c-1.5.0-pp39-pypy39_pp73-win_amd64.whl", hash = "sha256:c672d99a345849301784604bfeaeba4db0c7aae50b95be04dd651fd2a7310b93"}, +] + +[package.extras] +testing = ["pytest"] + [[package]] name = "google-generativeai" -version = "0.5.1" +version = "0.5.4" description = "Google Generative AI High level API client library and tools." optional = false python-versions = ">=3.9" files = [ - {file = "google_generativeai-0.5.1-py3-none-any.whl", hash = "sha256:4205b6f0e38cc7dc5e19c49a26a7732115ce64dbd085bfd295814c2651cef98d"}, + {file = "google_generativeai-0.5.4-py3-none-any.whl", hash = "sha256:036d63ee35e7c8aedceda4f81c390a5102808af09ff3a6e57e27ed0be0708f3c"}, ] [package.dependencies] -google-ai-generativelanguage = "0.6.2" +google-ai-generativelanguage = "0.6.4" google-api-core = "*" google-api-python-client = "*" google-auth = ">=2.15.0" @@ -2595,6 +2788,24 @@ typing-extensions = "*" [package.extras] dev = ["Pillow", "absl-py", "black", "ipython", "nose2", "pandas", "pytype", "pyyaml"] +[[package]] +name = "google-resumable-media" +version = "2.7.0" +description = "Utilities for Google Media Downloads and Resumable Uploads" +optional = false +python-versions = ">= 3.7" +files = [ + {file = "google-resumable-media-2.7.0.tar.gz", hash = "sha256:5f18f5fa9836f4b083162064a1c2c98c17239bfda9ca50ad970ccf905f3e625b"}, + {file = "google_resumable_media-2.7.0-py2.py3-none-any.whl", hash = "sha256:79543cfe433b63fd81c0844b7803aba1bb8950b47bedf7d980c38fa123937e08"}, +] + +[package.dependencies] +google-crc32c = ">=1.0,<2.0dev" + +[package.extras] +aiohttp = ["aiohttp (>=3.6.2,<4.0.0dev)", "google-auth (>=1.22.0,<2.0dev)"] +requests = ["requests (>=2.18.0,<3.0.0dev)"] + [[package]] name = "google-search-results" version = "2.4.2" @@ -2620,6 +2831,7 @@ files = [ ] [package.dependencies] +grpcio = {version = ">=1.44.0,<2.0.0.dev0", optional = true, markers = "extra == \"grpc\""} protobuf = ">=3.19.5,<3.20.0 || >3.20.0,<3.20.1 || >3.20.1,<4.21.1 || >4.21.1,<4.21.2 || >4.21.2,<4.21.3 || >4.21.3,<4.21.4 || >4.21.4,<4.21.5 || >4.21.5,<5.0.0.dev0" [package.extras] @@ -2723,167 +2935,194 @@ docs = ["Sphinx", "furo"] test = ["objgraph", "psutil"] [[package]] -name = "grpcio" -version = "1.62.1" -description = "HTTP/2-based RPC framework" +name = "groq" +version = "0.8.0" +description = "The official Python library for the groq API" optional = false python-versions = ">=3.7" files = [ - {file = "grpcio-1.62.1-cp310-cp310-linux_armv7l.whl", hash = "sha256:179bee6f5ed7b5f618844f760b6acf7e910988de77a4f75b95bbfaa8106f3c1e"}, - {file = "grpcio-1.62.1-cp310-cp310-macosx_12_0_universal2.whl", hash = "sha256:48611e4fa010e823ba2de8fd3f77c1322dd60cb0d180dc6630a7e157b205f7ea"}, - {file = "grpcio-1.62.1-cp310-cp310-manylinux_2_17_aarch64.whl", hash = "sha256:b2a0e71b0a2158aa4bce48be9f8f9eb45cbd17c78c7443616d00abbe2a509f6d"}, - {file = "grpcio-1.62.1-cp310-cp310-manylinux_2_17_i686.manylinux2014_i686.whl", hash = "sha256:fbe80577c7880911d3ad65e5ecc997416c98f354efeba2f8d0f9112a67ed65a5"}, - {file = "grpcio-1.62.1-cp310-cp310-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:58f6c693d446964e3292425e1d16e21a97a48ba9172f2d0df9d7b640acb99243"}, - {file = "grpcio-1.62.1-cp310-cp310-musllinux_1_1_i686.whl", hash = "sha256:77c339403db5a20ef4fed02e4d1a9a3d9866bf9c0afc77a42234677313ea22f3"}, - {file = "grpcio-1.62.1-cp310-cp310-musllinux_1_1_x86_64.whl", hash = "sha256:b5a4ea906db7dec694098435d84bf2854fe158eb3cd51e1107e571246d4d1d70"}, - {file = "grpcio-1.62.1-cp310-cp310-win32.whl", hash = "sha256:4187201a53f8561c015bc745b81a1b2d278967b8de35f3399b84b0695e281d5f"}, - {file = "grpcio-1.62.1-cp310-cp310-win_amd64.whl", hash = "sha256:844d1f3fb11bd1ed362d3fdc495d0770cfab75761836193af166fee113421d66"}, - {file = "grpcio-1.62.1-cp311-cp311-linux_armv7l.whl", hash = "sha256:833379943d1728a005e44103f17ecd73d058d37d95783eb8f0b28ddc1f54d7b2"}, - {file = "grpcio-1.62.1-cp311-cp311-macosx_10_10_universal2.whl", hash = "sha256:c7fcc6a32e7b7b58f5a7d27530669337a5d587d4066060bcb9dee7a8c833dfb7"}, - {file = "grpcio-1.62.1-cp311-cp311-manylinux_2_17_aarch64.whl", hash = "sha256:fa7d28eb4d50b7cbe75bb8b45ed0da9a1dc5b219a0af59449676a29c2eed9698"}, - {file = "grpcio-1.62.1-cp311-cp311-manylinux_2_17_i686.manylinux2014_i686.whl", hash = "sha256:48f7135c3de2f298b833be8b4ae20cafe37091634e91f61f5a7eb3d61ec6f660"}, - {file = "grpcio-1.62.1-cp311-cp311-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:71f11fd63365ade276c9d4a7b7df5c136f9030e3457107e1791b3737a9b9ed6a"}, - {file = "grpcio-1.62.1-cp311-cp311-musllinux_1_1_i686.whl", hash = "sha256:4b49fd8fe9f9ac23b78437da94c54aa7e9996fbb220bac024a67469ce5d0825f"}, - {file = "grpcio-1.62.1-cp311-cp311-musllinux_1_1_x86_64.whl", hash = "sha256:482ae2ae78679ba9ed5752099b32e5fe580443b4f798e1b71df412abf43375db"}, - {file = "grpcio-1.62.1-cp311-cp311-win32.whl", hash = "sha256:1faa02530b6c7426404372515fe5ddf66e199c2ee613f88f025c6f3bd816450c"}, - {file = "grpcio-1.62.1-cp311-cp311-win_amd64.whl", hash = "sha256:5bd90b8c395f39bc82a5fb32a0173e220e3f401ff697840f4003e15b96d1befc"}, - {file = "grpcio-1.62.1-cp312-cp312-linux_armv7l.whl", hash = "sha256:b134d5d71b4e0837fff574c00e49176051a1c532d26c052a1e43231f252d813b"}, - {file = "grpcio-1.62.1-cp312-cp312-macosx_10_10_universal2.whl", hash = "sha256:d1f6c96573dc09d50dbcbd91dbf71d5cf97640c9427c32584010fbbd4c0e0037"}, - {file = "grpcio-1.62.1-cp312-cp312-manylinux_2_17_aarch64.whl", hash = "sha256:359f821d4578f80f41909b9ee9b76fb249a21035a061a327f91c953493782c31"}, - {file = "grpcio-1.62.1-cp312-cp312-manylinux_2_17_i686.manylinux2014_i686.whl", hash = "sha256:a485f0c2010c696be269184bdb5ae72781344cb4e60db976c59d84dd6354fac9"}, - {file = "grpcio-1.62.1-cp312-cp312-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:b50b09b4dc01767163d67e1532f948264167cd27f49e9377e3556c3cba1268e1"}, - {file = "grpcio-1.62.1-cp312-cp312-musllinux_1_1_i686.whl", hash = "sha256:3227c667dccbe38f2c4d943238b887bac588d97c104815aecc62d2fd976e014b"}, - {file = "grpcio-1.62.1-cp312-cp312-musllinux_1_1_x86_64.whl", hash = "sha256:3952b581eb121324853ce2b191dae08badb75cd493cb4e0243368aa9e61cfd41"}, - {file = "grpcio-1.62.1-cp312-cp312-win32.whl", hash = "sha256:83a17b303425104d6329c10eb34bba186ffa67161e63fa6cdae7776ff76df73f"}, - {file = "grpcio-1.62.1-cp312-cp312-win_amd64.whl", hash = "sha256:6696ffe440333a19d8d128e88d440f91fb92c75a80ce4b44d55800e656a3ef1d"}, - {file = "grpcio-1.62.1-cp37-cp37m-linux_armv7l.whl", hash = "sha256:e3393b0823f938253370ebef033c9fd23d27f3eae8eb9a8f6264900c7ea3fb5a"}, - {file = "grpcio-1.62.1-cp37-cp37m-macosx_10_10_universal2.whl", hash = "sha256:83e7ccb85a74beaeae2634f10eb858a0ed1a63081172649ff4261f929bacfd22"}, - {file = "grpcio-1.62.1-cp37-cp37m-manylinux_2_17_aarch64.whl", hash = "sha256:882020c87999d54667a284c7ddf065b359bd00251fcd70279ac486776dbf84ec"}, - {file = "grpcio-1.62.1-cp37-cp37m-manylinux_2_17_i686.manylinux2014_i686.whl", hash = "sha256:a10383035e864f386fe096fed5c47d27a2bf7173c56a6e26cffaaa5a361addb1"}, - {file = "grpcio-1.62.1-cp37-cp37m-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:960edebedc6b9ada1ef58e1c71156f28689978188cd8cff3b646b57288a927d9"}, - {file = "grpcio-1.62.1-cp37-cp37m-musllinux_1_1_i686.whl", hash = "sha256:23e2e04b83f347d0aadde0c9b616f4726c3d76db04b438fd3904b289a725267f"}, - {file = "grpcio-1.62.1-cp37-cp37m-musllinux_1_1_x86_64.whl", hash = "sha256:978121758711916d34fe57c1f75b79cdfc73952f1481bb9583399331682d36f7"}, - {file = "grpcio-1.62.1-cp37-cp37m-win_amd64.whl", hash = "sha256:9084086190cc6d628f282e5615f987288b95457292e969b9205e45b442276407"}, - {file = "grpcio-1.62.1-cp38-cp38-linux_armv7l.whl", hash = "sha256:22bccdd7b23c420a27fd28540fb5dcbc97dc6be105f7698cb0e7d7a420d0e362"}, - {file = "grpcio-1.62.1-cp38-cp38-macosx_10_10_universal2.whl", hash = "sha256:8999bf1b57172dbc7c3e4bb3c732658e918f5c333b2942243f10d0d653953ba9"}, - {file = "grpcio-1.62.1-cp38-cp38-manylinux_2_17_aarch64.whl", hash = "sha256:d9e52558b8b8c2f4ac05ac86344a7417ccdd2b460a59616de49eb6933b07a0bd"}, - {file = "grpcio-1.62.1-cp38-cp38-manylinux_2_17_i686.manylinux2014_i686.whl", hash = "sha256:1714e7bc935780bc3de1b3fcbc7674209adf5208ff825799d579ffd6cd0bd505"}, - {file = "grpcio-1.62.1-cp38-cp38-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:c8842ccbd8c0e253c1f189088228f9b433f7a93b7196b9e5b6f87dba393f5d5d"}, - {file = "grpcio-1.62.1-cp38-cp38-musllinux_1_1_i686.whl", hash = "sha256:1f1e7b36bdff50103af95a80923bf1853f6823dd62f2d2a2524b66ed74103e49"}, - {file = "grpcio-1.62.1-cp38-cp38-musllinux_1_1_x86_64.whl", hash = "sha256:bba97b8e8883a8038606480d6b6772289f4c907f6ba780fa1f7b7da7dfd76f06"}, - {file = "grpcio-1.62.1-cp38-cp38-win32.whl", hash = "sha256:a7f615270fe534548112a74e790cd9d4f5509d744dd718cd442bf016626c22e4"}, - {file = "grpcio-1.62.1-cp38-cp38-win_amd64.whl", hash = "sha256:e6c8c8693df718c5ecbc7babb12c69a4e3677fd11de8886f05ab22d4e6b1c43b"}, - {file = "grpcio-1.62.1-cp39-cp39-linux_armv7l.whl", hash = "sha256:73db2dc1b201d20ab7083e7041946910bb991e7e9761a0394bbc3c2632326483"}, - {file = "grpcio-1.62.1-cp39-cp39-macosx_10_10_universal2.whl", hash = "sha256:407b26b7f7bbd4f4751dbc9767a1f0716f9fe72d3d7e96bb3ccfc4aace07c8de"}, - {file = "grpcio-1.62.1-cp39-cp39-manylinux_2_17_aarch64.whl", hash = "sha256:f8de7c8cef9261a2d0a62edf2ccea3d741a523c6b8a6477a340a1f2e417658de"}, - {file = "grpcio-1.62.1-cp39-cp39-manylinux_2_17_i686.manylinux2014_i686.whl", hash = "sha256:9bd5c8a1af40ec305d001c60236308a67e25419003e9bb3ebfab5695a8d0b369"}, - {file = "grpcio-1.62.1-cp39-cp39-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:be0477cb31da67846a33b1a75c611f88bfbcd427fe17701b6317aefceee1b96f"}, - {file = "grpcio-1.62.1-cp39-cp39-musllinux_1_1_i686.whl", hash = "sha256:60dcd824df166ba266ee0cfaf35a31406cd16ef602b49f5d4dfb21f014b0dedd"}, - {file = "grpcio-1.62.1-cp39-cp39-musllinux_1_1_x86_64.whl", hash = "sha256:973c49086cabab773525f6077f95e5a993bfc03ba8fc32e32f2c279497780585"}, - {file = "grpcio-1.62.1-cp39-cp39-win32.whl", hash = "sha256:12859468e8918d3bd243d213cd6fd6ab07208195dc140763c00dfe901ce1e1b4"}, - {file = "grpcio-1.62.1-cp39-cp39-win_amd64.whl", hash = "sha256:b7209117bbeebdfa5d898205cc55153a51285757902dd73c47de498ad4d11332"}, - {file = "grpcio-1.62.1.tar.gz", hash = "sha256:6c455e008fa86d9e9a9d85bb76da4277c0d7d9668a3bfa70dbe86e9f3c759947"}, + {file = "groq-0.8.0-py3-none-any.whl", hash = "sha256:f5e4e892d45001241a930db451e633ca1f0007e3f749deaa5d7360062fcd61e3"}, + {file = "groq-0.8.0.tar.gz", hash = "sha256:37ceb2f706bd516d0bfcac8e89048a24b375172987a0d6bd9efb521c54f6deff"}, +] + +[package.dependencies] +anyio = ">=3.5.0,<5" +distro = ">=1.7.0,<2" +httpx = ">=0.23.0,<1" +pydantic = ">=1.9.0,<3" +sniffio = "*" +typing-extensions = ">=4.7,<5" + +[[package]] +name = "grpc-google-iam-v1" +version = "0.13.0" +description = "IAM API client library" +optional = false +python-versions = ">=3.7" +files = [ + {file = "grpc-google-iam-v1-0.13.0.tar.gz", hash = "sha256:fad318608b9e093258fbf12529180f400d1c44453698a33509cc6ecf005b294e"}, + {file = "grpc_google_iam_v1-0.13.0-py2.py3-none-any.whl", hash = "sha256:53902e2af7de8df8c1bd91373d9be55b0743ec267a7428ea638db3775becae89"}, +] + +[package.dependencies] +googleapis-common-protos = {version = ">=1.56.0,<2.0.0dev", extras = ["grpc"]} +grpcio = ">=1.44.0,<2.0.0dev" +protobuf = ">=3.19.5,<3.20.0 || >3.20.0,<3.20.1 || >3.20.1,<4.21.1 || >4.21.1,<4.21.2 || >4.21.2,<4.21.3 || >4.21.3,<4.21.4 || >4.21.4,<4.21.5 || >4.21.5,<5.0.0dev" + +[[package]] +name = "grpcio" +version = "1.64.0" +description = "HTTP/2-based RPC framework" +optional = false +python-versions = ">=3.8" +files = [ + {file = "grpcio-1.64.0-cp310-cp310-linux_armv7l.whl", hash = "sha256:3b09c3d9de95461214a11d82cc0e6a46a6f4e1f91834b50782f932895215e5db"}, + {file = "grpcio-1.64.0-cp310-cp310-macosx_12_0_universal2.whl", hash = "sha256:7e013428ab472892830287dd082b7d129f4d8afef49227a28223a77337555eaa"}, + {file = "grpcio-1.64.0-cp310-cp310-manylinux_2_17_aarch64.whl", hash = "sha256:02cc9cc3f816d30f7993d0d408043b4a7d6a02346d251694d8ab1f78cc723e7e"}, + {file = "grpcio-1.64.0-cp310-cp310-manylinux_2_17_i686.manylinux2014_i686.whl", hash = "sha256:1f5de082d936e0208ce8db9095821361dfa97af8767a6607ae71425ac8ace15c"}, + {file = "grpcio-1.64.0-cp310-cp310-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:d7b7bf346391dffa182fba42506adf3a84f4a718a05e445b37824136047686a1"}, + {file = "grpcio-1.64.0-cp310-cp310-musllinux_1_1_i686.whl", hash = "sha256:b2cbdfba18408389a1371f8c2af1659119e1831e5ed24c240cae9e27b4abc38d"}, + {file = "grpcio-1.64.0-cp310-cp310-musllinux_1_1_x86_64.whl", hash = "sha256:aca4f15427d2df592e0c8f3d38847e25135e4092d7f70f02452c0e90d6a02d6d"}, + {file = "grpcio-1.64.0-cp310-cp310-win32.whl", hash = "sha256:7c1f5b2298244472bcda49b599be04579f26425af0fd80d3f2eb5fd8bc84d106"}, + {file = "grpcio-1.64.0-cp310-cp310-win_amd64.whl", hash = "sha256:73f84f9e5985a532e47880b3924867de16fa1aa513fff9b26106220c253c70c5"}, + {file = "grpcio-1.64.0-cp311-cp311-linux_armv7l.whl", hash = "sha256:2a18090371d138a57714ee9bffd6c9c9cb2e02ce42c681aac093ae1e7189ed21"}, + {file = "grpcio-1.64.0-cp311-cp311-macosx_10_9_universal2.whl", hash = "sha256:59c68df3a934a586c3473d15956d23a618b8f05b5e7a3a904d40300e9c69cbf0"}, + {file = "grpcio-1.64.0-cp311-cp311-manylinux_2_17_aarch64.whl", hash = "sha256:b52e1ec7185512103dd47d41cf34ea78e7a7361ba460187ddd2416b480e0938c"}, + {file = "grpcio-1.64.0-cp311-cp311-manylinux_2_17_i686.manylinux2014_i686.whl", hash = "sha256:8d598b5d5e2c9115d7fb7e2cb5508d14286af506a75950762aa1372d60e41851"}, + {file = "grpcio-1.64.0-cp311-cp311-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:01615bbcae6875eee8091e6b9414072f4e4b00d8b7e141f89635bdae7cf784e5"}, + {file = "grpcio-1.64.0-cp311-cp311-musllinux_1_1_i686.whl", hash = "sha256:0b2dfe6dcace264807d9123d483d4c43274e3f8c39f90ff51de538245d7a4145"}, + {file = "grpcio-1.64.0-cp311-cp311-musllinux_1_1_x86_64.whl", hash = "sha256:7f17572dc9acd5e6dfd3014d10c0b533e9f79cd9517fc10b0225746f4c24b58e"}, + {file = "grpcio-1.64.0-cp311-cp311-win32.whl", hash = "sha256:6ec5ed15b4ffe56e2c6bc76af45e6b591c9be0224b3fb090adfb205c9012367d"}, + {file = "grpcio-1.64.0-cp311-cp311-win_amd64.whl", hash = "sha256:597191370951b477b7a1441e1aaa5cacebeb46a3b0bd240ec3bb2f28298c7553"}, + {file = "grpcio-1.64.0-cp312-cp312-linux_armv7l.whl", hash = "sha256:1ce4cd5a61d4532651079e7aae0fedf9a80e613eed895d5b9743e66b52d15812"}, + {file = "grpcio-1.64.0-cp312-cp312-macosx_10_9_universal2.whl", hash = "sha256:650a8150a9b288f40d5b7c1d5400cc11724eae50bd1f501a66e1ea949173649b"}, + {file = "grpcio-1.64.0-cp312-cp312-manylinux_2_17_aarch64.whl", hash = "sha256:8de0399b983f8676a7ccfdd45e5b2caec74a7e3cc576c6b1eecf3b3680deda5e"}, + {file = "grpcio-1.64.0-cp312-cp312-manylinux_2_17_i686.manylinux2014_i686.whl", hash = "sha256:46b8b43ba6a2a8f3103f103f97996cad507bcfd72359af6516363c48793d5a7b"}, + {file = "grpcio-1.64.0-cp312-cp312-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:a54362f03d4dcfae63be455d0a7d4c1403673498b92c6bfe22157d935b57c7a9"}, + {file = "grpcio-1.64.0-cp312-cp312-musllinux_1_1_i686.whl", hash = "sha256:1f8ea18b928e539046bb5f9c124d717fbf00cc4b2d960ae0b8468562846f5aa1"}, + {file = "grpcio-1.64.0-cp312-cp312-musllinux_1_1_x86_64.whl", hash = "sha256:c56c91bd2923ddb6e7ed28ebb66d15633b03e0df22206f22dfcdde08047e0a48"}, + {file = "grpcio-1.64.0-cp312-cp312-win32.whl", hash = "sha256:874c741c8a66f0834f653a69e7e64b4e67fcd4a8d40296919b93bab2ccc780ba"}, + {file = "grpcio-1.64.0-cp312-cp312-win_amd64.whl", hash = "sha256:0da1d921f8e4bcee307aeef6c7095eb26e617c471f8cb1c454fd389c5c296d1e"}, + {file = "grpcio-1.64.0-cp38-cp38-linux_armv7l.whl", hash = "sha256:c46fb6bfca17bfc49f011eb53416e61472fa96caa0979b4329176bdd38cbbf2a"}, + {file = "grpcio-1.64.0-cp38-cp38-macosx_10_9_universal2.whl", hash = "sha256:3d2004e85cf5213995d09408501f82c8534700d2babeb81dfdba2a3bff0bb396"}, + {file = "grpcio-1.64.0-cp38-cp38-manylinux_2_17_aarch64.whl", hash = "sha256:6d5541eb460d73a07418524fb64dcfe0adfbcd32e2dac0f8f90ce5b9dd6c046c"}, + {file = "grpcio-1.64.0-cp38-cp38-manylinux_2_17_i686.manylinux2014_i686.whl", hash = "sha256:1f279ad72dd7d64412e10f2443f9f34872a938c67387863c4cd2fb837f53e7d2"}, + {file = "grpcio-1.64.0-cp38-cp38-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:85fda90b81da25993aa47fae66cae747b921f8f6777550895fb62375b776a231"}, + {file = "grpcio-1.64.0-cp38-cp38-musllinux_1_1_i686.whl", hash = "sha256:a053584079b793a54bece4a7d1d1b5c0645bdbee729215cd433703dc2532f72b"}, + {file = "grpcio-1.64.0-cp38-cp38-musllinux_1_1_x86_64.whl", hash = "sha256:579dd9fb11bc73f0de061cab5f8b2def21480fd99eb3743ed041ad6a1913ee2f"}, + {file = "grpcio-1.64.0-cp38-cp38-win32.whl", hash = "sha256:23b6887bb21d77649d022fa1859e05853fdc2e60682fd86c3db652a555a282e0"}, + {file = "grpcio-1.64.0-cp38-cp38-win_amd64.whl", hash = "sha256:753cb58683ba0c545306f4e17dabf468d29cb6f6b11832e1e432160bb3f8403c"}, + {file = "grpcio-1.64.0-cp39-cp39-linux_armv7l.whl", hash = "sha256:2186d76a7e383e1466e0ea2b0febc343ffeae13928c63c6ec6826533c2d69590"}, + {file = "grpcio-1.64.0-cp39-cp39-macosx_10_9_universal2.whl", hash = "sha256:0f30596cdcbed3c98024fb4f1d91745146385b3f9fd10c9f2270cbfe2ed7ed91"}, + {file = "grpcio-1.64.0-cp39-cp39-manylinux_2_17_aarch64.whl", hash = "sha256:d9171f025a196f5bcfec7e8e7ffb7c3535f7d60aecd3503f9e250296c7cfc150"}, + {file = "grpcio-1.64.0-cp39-cp39-manylinux_2_17_i686.manylinux2014_i686.whl", hash = "sha256:cf4c8daed18ae2be2f1fc7d613a76ee2a2e28fdf2412d5c128be23144d28283d"}, + {file = "grpcio-1.64.0-cp39-cp39-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:3550493ac1d23198d46dc9c9b24b411cef613798dc31160c7138568ec26bc9b4"}, + {file = "grpcio-1.64.0-cp39-cp39-musllinux_1_1_i686.whl", hash = "sha256:3161a8f8bb38077a6470508c1a7301cd54301c53b8a34bb83e3c9764874ecabd"}, + {file = "grpcio-1.64.0-cp39-cp39-musllinux_1_1_x86_64.whl", hash = "sha256:2e8fabe2cc57a369638ab1ad8e6043721014fdf9a13baa7c0e35995d3a4a7618"}, + {file = "grpcio-1.64.0-cp39-cp39-win32.whl", hash = "sha256:31890b24d47b62cc27da49a462efe3d02f3c120edb0e6c46dcc0025506acf004"}, + {file = "grpcio-1.64.0-cp39-cp39-win_amd64.whl", hash = "sha256:5a56797dea8c02e7d3a85dfea879f286175cf4d14fbd9ab3ef2477277b927baa"}, + {file = "grpcio-1.64.0.tar.gz", hash = "sha256:257baf07f53a571c215eebe9679c3058a313fd1d1f7c4eede5a8660108c52d9c"}, ] [package.extras] -protobuf = ["grpcio-tools (>=1.62.1)"] +protobuf = ["grpcio-tools (>=1.64.0)"] [[package]] name = "grpcio-health-checking" -version = "1.62.1" +version = "1.62.2" description = "Standard Health Checking Service for gRPC" optional = false python-versions = ">=3.6" files = [ - {file = "grpcio-health-checking-1.62.1.tar.gz", hash = "sha256:9e56180a941b1d32a077d7491e0611d0483c396358afd5349bf00152612e4583"}, - {file = "grpcio_health_checking-1.62.1-py3-none-any.whl", hash = "sha256:9ce761c09fc383e7aa2f7e6c0b0b65d5a1157c1b98d1f5871f7c38aca47d49b9"}, + {file = "grpcio-health-checking-1.62.2.tar.gz", hash = "sha256:a44d1ea1e1510b5c62265dada04d86621bb1491d75de987713c9c0ea005c10a8"}, + {file = "grpcio_health_checking-1.62.2-py3-none-any.whl", hash = "sha256:f0d77e02457aa00e98ce12c741dca6df7e34dbcc3859681c4a473dc589288e56"}, ] [package.dependencies] -grpcio = ">=1.62.1" +grpcio = ">=1.62.2" protobuf = ">=4.21.6" [[package]] name = "grpcio-status" -version = "1.62.1" +version = "1.62.2" description = "Status proto mapping for gRPC" optional = false python-versions = ">=3.6" files = [ - {file = "grpcio-status-1.62.1.tar.gz", hash = "sha256:3431c8abbab0054912c41df5c72f03ddf3b7a67be8a287bb3c18a3456f96ff77"}, - {file = "grpcio_status-1.62.1-py3-none-any.whl", hash = "sha256:af0c3ab85da31669f21749e8d53d669c061ebc6ce5637be49a46edcb7aa8ab17"}, + {file = "grpcio-status-1.62.2.tar.gz", hash = "sha256:62e1bfcb02025a1cd73732a2d33672d3e9d0df4d21c12c51e0bbcaf09bab742a"}, + {file = "grpcio_status-1.62.2-py3-none-any.whl", hash = "sha256:206ddf0eb36bc99b033f03b2c8e95d319f0044defae9b41ae21408e7e0cda48f"}, ] [package.dependencies] googleapis-common-protos = ">=1.5.5" -grpcio = ">=1.62.1" +grpcio = ">=1.62.2" protobuf = ">=4.21.6" [[package]] name = "grpcio-tools" -version = "1.62.1" +version = "1.62.2" description = "Protobuf code generator for gRPC" optional = false python-versions = ">=3.7" files = [ - {file = "grpcio-tools-1.62.1.tar.gz", hash = "sha256:a4991e5ee8a97ab791296d3bf7e8700b1445635cc1828cc98df945ca1802d7f2"}, - {file = "grpcio_tools-1.62.1-cp310-cp310-linux_armv7l.whl", hash = "sha256:f2b404bcae7e2ef9b0b9803b2a95119eb7507e6dc80ea4a64a78be052c30cebc"}, - {file = "grpcio_tools-1.62.1-cp310-cp310-macosx_12_0_universal2.whl", hash = "sha256:fdd987a580b4474769adfd40144486f54bcc73838d5ec5d3647a17883ea78e76"}, - {file = "grpcio_tools-1.62.1-cp310-cp310-manylinux_2_17_aarch64.whl", hash = "sha256:07af1a6442e2313cff22af93c2c4dd37ae32b5239b38e0d99e2cbf93de65429f"}, - {file = "grpcio_tools-1.62.1-cp310-cp310-manylinux_2_17_i686.manylinux2014_i686.whl", hash = "sha256:41384c9ee18e61ef20cad2774ef71bd8854b63efce263b5177aa06fccb84df1f"}, - {file = "grpcio_tools-1.62.1-cp310-cp310-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:5c38006f7702d2ff52122e4c77a47348709374050c76216e84b30a9f06e45afa"}, - {file = "grpcio_tools-1.62.1-cp310-cp310-musllinux_1_1_i686.whl", hash = "sha256:08fecc3c5b4e6dd3278f2b9d12837e423c7dcff551ca1e587018b4a0fc5f8019"}, - {file = "grpcio_tools-1.62.1-cp310-cp310-musllinux_1_1_x86_64.whl", hash = "sha256:a01e8dcd0f041f6fa6d815c54a2017d032950e310c41d514a8bc041e872c4d12"}, - {file = "grpcio_tools-1.62.1-cp310-cp310-win32.whl", hash = "sha256:dd933b8e0b3c13fe3543d58f849a6a5e0d7987688cb6801834278378c724f695"}, - {file = "grpcio_tools-1.62.1-cp310-cp310-win_amd64.whl", hash = "sha256:2b04844a9382f1bde4b4174e476e654ab3976168d2469cb4b29e352f4f35a5aa"}, - {file = "grpcio_tools-1.62.1-cp311-cp311-linux_armv7l.whl", hash = "sha256:024380536ba71a96cdf736f0954f6ad03f5da609c09edbcc2ca02fdd639e0eed"}, - {file = "grpcio_tools-1.62.1-cp311-cp311-macosx_10_10_universal2.whl", hash = "sha256:21f14b99e0cd38ad56754cc0b62b2bf3cf75f9f7fc40647da54669e0da0726fe"}, - {file = "grpcio_tools-1.62.1-cp311-cp311-manylinux_2_17_aarch64.whl", hash = "sha256:975ac5fb482c23f3608c16e06a43c8bab4d79c2e2564cdbc25cf753c6e998775"}, - {file = "grpcio_tools-1.62.1-cp311-cp311-manylinux_2_17_i686.manylinux2014_i686.whl", hash = "sha256:50739aaab0c8076ad5957204e71f2e0c9876e11fd8338f7f09de12c2d75163c5"}, - {file = "grpcio_tools-1.62.1-cp311-cp311-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:598c54318f0326cf5020aa43fc95a15e933aba4a71943d3bff2677d2d21ddfa1"}, - {file = "grpcio_tools-1.62.1-cp311-cp311-musllinux_1_1_i686.whl", hash = "sha256:f309bdb33a61f8e049480d41498ee2e525cfb5e959958b326abfdf552bf9b9cb"}, - {file = "grpcio_tools-1.62.1-cp311-cp311-musllinux_1_1_x86_64.whl", hash = "sha256:f358effd3c11d66c150e0227f983d54a5cd30e14038566dadcf25f9f6844e6e8"}, - {file = "grpcio_tools-1.62.1-cp311-cp311-win32.whl", hash = "sha256:b76aead9b73f1650a091870fe4e9ed15ac4d8ed136f962042367255199c23594"}, - {file = "grpcio_tools-1.62.1-cp311-cp311-win_amd64.whl", hash = "sha256:d66a5d47eaa427039752fa0a83a425ff2a487b6a0ac30556fd3be2f3a27a0130"}, - {file = "grpcio_tools-1.62.1-cp312-cp312-linux_armv7l.whl", hash = "sha256:575535d039b97d63e6a9abee626d6c7cd47bd8cb73dd00a5c84a98254a2164a4"}, - {file = "grpcio_tools-1.62.1-cp312-cp312-macosx_10_10_universal2.whl", hash = "sha256:22644c90e43d1a888477899af917979e17364fdd6e9bbb92679cd6a54c4d36c3"}, - {file = "grpcio_tools-1.62.1-cp312-cp312-manylinux_2_17_aarch64.whl", hash = "sha256:156d3e1b227c16e903003a56881dbe60e40f2b4bd66f0bc3b27c53e466e6384d"}, - {file = "grpcio_tools-1.62.1-cp312-cp312-manylinux_2_17_i686.manylinux2014_i686.whl", hash = "sha256:5ad7c5691625a85327e5b683443baf73ae790fd5afc938252041ed5cd665e377"}, - {file = "grpcio_tools-1.62.1-cp312-cp312-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:0e140bbc08eea8abf51c0274f45fb1e8350220e64758998d7f3c7f985a0b2496"}, - {file = "grpcio_tools-1.62.1-cp312-cp312-musllinux_1_1_i686.whl", hash = "sha256:7444fcab861911525470d398e5638b70d5cbea3b4674a3de92b5c58c5c515d4d"}, - {file = "grpcio_tools-1.62.1-cp312-cp312-musllinux_1_1_x86_64.whl", hash = "sha256:e643cd14a5d1e59865cba68a5a6f0175d987f36c5f4cb0db80dee9ed60b4c174"}, - {file = "grpcio_tools-1.62.1-cp312-cp312-win32.whl", hash = "sha256:1344a773d2caa9bb7fbea7e879b84f33740c808c34a5bd2a2768e526117a6b44"}, - {file = "grpcio_tools-1.62.1-cp312-cp312-win_amd64.whl", hash = "sha256:2eea1db3748b2f37b4dce84d8e0c15d9bc811094807cabafe7b0ea47f424dfd5"}, - {file = "grpcio_tools-1.62.1-cp37-cp37m-linux_armv7l.whl", hash = "sha256:45d2e6cf04d27286b6f73e6e20ba3f0a1f6d8f5535e5dcb1356200419bb457f4"}, - {file = "grpcio_tools-1.62.1-cp37-cp37m-macosx_10_10_universal2.whl", hash = "sha256:46ae58e6926773e7315e9005f0f17aacedbc0895a8752bec087d24efa2f1fb21"}, - {file = "grpcio_tools-1.62.1-cp37-cp37m-manylinux_2_17_aarch64.whl", hash = "sha256:4c28086df31478023a36f45e50767872ab3aed2419afff09814cb61c88b77db4"}, - {file = "grpcio_tools-1.62.1-cp37-cp37m-manylinux_2_17_i686.manylinux2014_i686.whl", hash = "sha256:a4fba5b339f4797548591036c9481e6895bf920fab7d3dc664d2697f8fb7c0bf"}, - {file = "grpcio_tools-1.62.1-cp37-cp37m-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:23eb3d47f78f509fcd201749b1f1e44b76f447913f7fbb3b8bae20f109086295"}, - {file = "grpcio_tools-1.62.1-cp37-cp37m-musllinux_1_1_i686.whl", hash = "sha256:fd5d47707bd6bc2b707ece765c362d2a1d2e8f6cd92b04c99fab49a929f3610c"}, - {file = "grpcio_tools-1.62.1-cp37-cp37m-musllinux_1_1_x86_64.whl", hash = "sha256:d1924a6a943df7c73b9ef0048302327c75962b567451479710da729ead241228"}, - {file = "grpcio_tools-1.62.1-cp37-cp37m-win_amd64.whl", hash = "sha256:fe71ca30aabe42591e84ecb9694c0297dc699cc20c5b24d2cb267fb0fc01f947"}, - {file = "grpcio_tools-1.62.1-cp38-cp38-linux_armv7l.whl", hash = "sha256:1819fd055c1ae672d1d725ec75eefd1f700c18acba0ed9332202be31d69c401d"}, - {file = "grpcio_tools-1.62.1-cp38-cp38-macosx_10_10_universal2.whl", hash = "sha256:5dbe1f7481dd14b6d477b4bace96d275090bc7636b9883975a08b802c94e7b78"}, - {file = "grpcio_tools-1.62.1-cp38-cp38-manylinux_2_17_aarch64.whl", hash = "sha256:771c051c5ece27ad03e4f2e33624a925f0ad636c01757ab7dbb04a37964af4ba"}, - {file = "grpcio_tools-1.62.1-cp38-cp38-manylinux_2_17_i686.manylinux2014_i686.whl", hash = "sha256:98209c438b38b6f1276dbc27b1c04e346a75bfaafe72a25a548f2dc5ce71d226"}, - {file = "grpcio_tools-1.62.1-cp38-cp38-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:2152308e5321cb90fb45aaa84d03d6dedb19735a8779aaf36c624f97b831842d"}, - {file = "grpcio_tools-1.62.1-cp38-cp38-musllinux_1_1_i686.whl", hash = "sha256:ed1f27dc2b2262c8b8d9036276619c1bb18791311c16ccbf1f31b660f2aad7cf"}, - {file = "grpcio_tools-1.62.1-cp38-cp38-musllinux_1_1_x86_64.whl", hash = "sha256:2744947b6c5e907af21133431809ccca535a037356864e32c122efed8cb9de1f"}, - {file = "grpcio_tools-1.62.1-cp38-cp38-win32.whl", hash = "sha256:13b20e269d14ad629ff9a2c9a2450f3dbb119d5948de63b27ffe624fa7aea85a"}, - {file = "grpcio_tools-1.62.1-cp38-cp38-win_amd64.whl", hash = "sha256:999823758e9eacd0095863d06cd6d388be769f80c9abb65cdb11c4f2cfce3fea"}, - {file = "grpcio_tools-1.62.1-cp39-cp39-linux_armv7l.whl", hash = "sha256:941f8a5c31986053e75fa466bcfa743c2bf1b513b7978cf1f4ab4e96a8219d27"}, - {file = "grpcio_tools-1.62.1-cp39-cp39-macosx_10_10_universal2.whl", hash = "sha256:b9c02c88c77ef6057c6cbeea8922d7c2424aabf46bfc40ddf42a32765ba91061"}, - {file = "grpcio_tools-1.62.1-cp39-cp39-manylinux_2_17_aarch64.whl", hash = "sha256:6abd4eb3ccb444383a40156139acc3aaa73745d395139cb6bc8e2a3429e1e627"}, - {file = "grpcio_tools-1.62.1-cp39-cp39-manylinux_2_17_i686.manylinux2014_i686.whl", hash = "sha256:449503213d142f8470b331a1c2f346f8457f16c7fe20f531bc2500e271f7c14c"}, - {file = "grpcio_tools-1.62.1-cp39-cp39-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:9a11bcf609d00cfc9baed77ab308223cabc1f0b22a05774a26dd4c94c0c80f1f"}, - {file = "grpcio_tools-1.62.1-cp39-cp39-musllinux_1_1_i686.whl", hash = "sha256:5d7bdea33354b55acf40bb4dd3ba7324d6f1ef6b4a1a4da0807591f8c7e87b9a"}, - {file = "grpcio_tools-1.62.1-cp39-cp39-musllinux_1_1_x86_64.whl", hash = "sha256:d03b645852d605f43003020e78fe6d573cae6ee6b944193e36b8b317e7549a20"}, - {file = "grpcio_tools-1.62.1-cp39-cp39-win32.whl", hash = "sha256:52b185dfc3bf32e70929310367dbc66185afba60492a6a75a9b1141d407e160c"}, - {file = "grpcio_tools-1.62.1-cp39-cp39-win_amd64.whl", hash = "sha256:63a273b70896d3640b7a883eb4a080c3c263d91662d870a2e9c84b7bbd978e7b"}, + {file = "grpcio-tools-1.62.2.tar.gz", hash = "sha256:5fd5e1582b678e6b941ee5f5809340be5e0724691df5299aae8226640f94e18f"}, + {file = "grpcio_tools-1.62.2-cp310-cp310-linux_armv7l.whl", hash = "sha256:1679b4903aed2dc5bd8cb22a452225b05dc8470a076f14fd703581efc0740cdb"}, + {file = "grpcio_tools-1.62.2-cp310-cp310-macosx_12_0_universal2.whl", hash = "sha256:9d41e0e47dd075c075bb8f103422968a65dd0d8dc8613288f573ae91eb1053ba"}, + {file = "grpcio_tools-1.62.2-cp310-cp310-manylinux_2_17_aarch64.whl", hash = "sha256:987e774f74296842bbffd55ea8826370f70c499e5b5f71a8cf3103838b6ee9c3"}, + {file = "grpcio_tools-1.62.2-cp310-cp310-manylinux_2_17_i686.manylinux2014_i686.whl", hash = "sha256:40cd4eeea4b25bcb6903b82930d579027d034ba944393c4751cdefd9c49e6989"}, + {file = "grpcio_tools-1.62.2-cp310-cp310-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:b6746bc823958499a3cf8963cc1de00072962fb5e629f26d658882d3f4c35095"}, + {file = "grpcio_tools-1.62.2-cp310-cp310-musllinux_1_1_i686.whl", hash = "sha256:2ed775e844566ce9ce089be9a81a8b928623b8ee5820f5e4d58c1a9d33dfc5ae"}, + {file = "grpcio_tools-1.62.2-cp310-cp310-musllinux_1_1_x86_64.whl", hash = "sha256:bdc5dd3f57b5368d5d661d5d3703bcaa38bceca59d25955dff66244dbc987271"}, + {file = "grpcio_tools-1.62.2-cp310-cp310-win32.whl", hash = "sha256:3a8d6f07e64c0c7756f4e0c4781d9d5a2b9cc9cbd28f7032a6fb8d4f847d0445"}, + {file = "grpcio_tools-1.62.2-cp310-cp310-win_amd64.whl", hash = "sha256:e33b59fb3efdddeb97ded988a871710033e8638534c826567738d3edce528752"}, + {file = "grpcio_tools-1.62.2-cp311-cp311-linux_armv7l.whl", hash = "sha256:472505d030135d73afe4143b0873efe0dcb385bd6d847553b4f3afe07679af00"}, + {file = "grpcio_tools-1.62.2-cp311-cp311-macosx_10_10_universal2.whl", hash = "sha256:ec674b4440ef4311ac1245a709e87b36aca493ddc6850eebe0b278d1f2b6e7d1"}, + {file = "grpcio_tools-1.62.2-cp311-cp311-manylinux_2_17_aarch64.whl", hash = "sha256:184b4174d4bd82089d706e8223e46c42390a6ebac191073b9772abc77308f9fa"}, + {file = "grpcio_tools-1.62.2-cp311-cp311-manylinux_2_17_i686.manylinux2014_i686.whl", hash = "sha256:c195d74fe98541178ece7a50dad2197d43991e0f77372b9a88da438be2486f12"}, + {file = "grpcio_tools-1.62.2-cp311-cp311-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:a34d97c62e61bfe9e6cff0410fe144ac8cca2fc979ad0be46b7edf026339d161"}, + {file = "grpcio_tools-1.62.2-cp311-cp311-musllinux_1_1_i686.whl", hash = "sha256:cbb8453ae83a1db2452b7fe0f4b78e4a8dd32be0f2b2b73591ae620d4d784d3d"}, + {file = "grpcio_tools-1.62.2-cp311-cp311-musllinux_1_1_x86_64.whl", hash = "sha256:4f989e5cebead3ae92c6abf6bf7b19949e1563a776aea896ac5933f143f0c45d"}, + {file = "grpcio_tools-1.62.2-cp311-cp311-win32.whl", hash = "sha256:c48fabe40b9170f4e3d7dd2c252e4f1ff395dc24e49ac15fc724b1b6f11724da"}, + {file = "grpcio_tools-1.62.2-cp311-cp311-win_amd64.whl", hash = "sha256:8c616d0ad872e3780693fce6a3ac8ef00fc0963e6d7815ce9dcfae68ba0fc287"}, + {file = "grpcio_tools-1.62.2-cp312-cp312-linux_armv7l.whl", hash = "sha256:10cc3321704ecd17c93cf68c99c35467a8a97ffaaed53207e9b2da6ae0308ee1"}, + {file = "grpcio_tools-1.62.2-cp312-cp312-macosx_10_10_universal2.whl", hash = "sha256:9be84ff6d47fd61462be7523b49d7ba01adf67ce4e1447eae37721ab32464dd8"}, + {file = "grpcio_tools-1.62.2-cp312-cp312-manylinux_2_17_aarch64.whl", hash = "sha256:d82f681c9a9d933a9d8068e8e382977768e7779ddb8870fa0cf918d8250d1532"}, + {file = "grpcio_tools-1.62.2-cp312-cp312-manylinux_2_17_i686.manylinux2014_i686.whl", hash = "sha256:04c607029ae3660fb1624ed273811ffe09d57d84287d37e63b5b802a35897329"}, + {file = "grpcio_tools-1.62.2-cp312-cp312-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:72b61332f1b439c14cbd3815174a8f1d35067a02047c32decd406b3a09bb9890"}, + {file = "grpcio_tools-1.62.2-cp312-cp312-musllinux_1_1_i686.whl", hash = "sha256:8214820990d01b52845f9fbcb92d2b7384a0c321b303e3ac614c219dc7d1d3af"}, + {file = "grpcio_tools-1.62.2-cp312-cp312-musllinux_1_1_x86_64.whl", hash = "sha256:462e0ab8dd7c7b70bfd6e3195eebc177549ede5cf3189814850c76f9a340d7ce"}, + {file = "grpcio_tools-1.62.2-cp312-cp312-win32.whl", hash = "sha256:fa107460c842e4c1a6266150881694fefd4f33baa544ea9489601810c2210ef8"}, + {file = "grpcio_tools-1.62.2-cp312-cp312-win_amd64.whl", hash = "sha256:759c60f24c33a181bbbc1232a6752f9b49fbb1583312a4917e2b389fea0fb0f2"}, + {file = "grpcio_tools-1.62.2-cp37-cp37m-linux_armv7l.whl", hash = "sha256:45db5da2bcfa88f2b86b57ef35daaae85c60bd6754a051d35d9449c959925b57"}, + {file = "grpcio_tools-1.62.2-cp37-cp37m-macosx_10_10_universal2.whl", hash = "sha256:ab84bae88597133f6ea7a2bdc57b2fda98a266fe8d8d4763652cbefd20e73ad7"}, + {file = "grpcio_tools-1.62.2-cp37-cp37m-manylinux_2_17_aarch64.whl", hash = "sha256:7a49bccae1c7d154b78e991885c3111c9ad8c8fa98e91233de425718f47c6139"}, + {file = "grpcio_tools-1.62.2-cp37-cp37m-manylinux_2_17_i686.manylinux2014_i686.whl", hash = "sha256:a7e439476b29d6dac363b321781a113794397afceeb97dad85349db5f1cb5e9a"}, + {file = "grpcio_tools-1.62.2-cp37-cp37m-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:7ea369c4d1567d1acdf69c8ea74144f4ccad9e545df7f9a4fc64c94fa7684ba3"}, + {file = "grpcio_tools-1.62.2-cp37-cp37m-musllinux_1_1_i686.whl", hash = "sha256:4f955702dc4b530696375251319d05223b729ed24e8673c2129f7a75d2caefbb"}, + {file = "grpcio_tools-1.62.2-cp37-cp37m-musllinux_1_1_x86_64.whl", hash = "sha256:3708a747aa4b6b505727282ca887041174e146ae030ebcadaf4c1d346858df62"}, + {file = "grpcio_tools-1.62.2-cp37-cp37m-win_amd64.whl", hash = "sha256:2ce149ea55eadb486a7fb75a20f63ef3ac065ee6a0240ed25f3549ce7954c653"}, + {file = "grpcio_tools-1.62.2-cp38-cp38-linux_armv7l.whl", hash = "sha256:58cbb24b3fa6ae35aa9c210fcea3a51aa5fef0cd25618eb4fd94f746d5a9b703"}, + {file = "grpcio_tools-1.62.2-cp38-cp38-macosx_10_10_universal2.whl", hash = "sha256:6413581e14a80e0b4532577766cf0586de4dd33766a31b3eb5374a746771c07d"}, + {file = "grpcio_tools-1.62.2-cp38-cp38-manylinux_2_17_aarch64.whl", hash = "sha256:47117c8a7e861382470d0e22d336e5a91fdc5f851d1db44fa784b9acea190d87"}, + {file = "grpcio_tools-1.62.2-cp38-cp38-manylinux_2_17_i686.manylinux2014_i686.whl", hash = "sha256:9f1ba79a253df9e553d20319c615fa2b429684580fa042dba618d7f6649ac7e4"}, + {file = "grpcio_tools-1.62.2-cp38-cp38-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:04a394cf5e51ba9be412eb9f6c482b6270bd81016e033e8eb7d21b8cc28fe8b5"}, + {file = "grpcio_tools-1.62.2-cp38-cp38-musllinux_1_1_i686.whl", hash = "sha256:3c53b221378b035ae2f1881cbc3aca42a6075a8e90e1a342c2f205eb1d1aa6a1"}, + {file = "grpcio_tools-1.62.2-cp38-cp38-musllinux_1_1_x86_64.whl", hash = "sha256:c384c838b34d1b67068e51b5bbe49caa6aa3633acd158f1ab16b5da8d226bc53"}, + {file = "grpcio_tools-1.62.2-cp38-cp38-win32.whl", hash = "sha256:19ea69e41c3565932aa28a202d1875ec56786aea46a2eab54a3b28e8a27f9517"}, + {file = "grpcio_tools-1.62.2-cp38-cp38-win_amd64.whl", hash = "sha256:1d768a5c07279a4c461ebf52d0cec1c6ca85c6291c71ec2703fe3c3e7e28e8c4"}, + {file = "grpcio_tools-1.62.2-cp39-cp39-linux_armv7l.whl", hash = "sha256:5b07b5874187e170edfbd7aa2ca3a54ebf3b2952487653e8c0b0d83601c33035"}, + {file = "grpcio_tools-1.62.2-cp39-cp39-macosx_10_10_universal2.whl", hash = "sha256:d58389fe8be206ddfb4fa703db1e24c956856fcb9a81da62b13577b3a8f7fda7"}, + {file = "grpcio_tools-1.62.2-cp39-cp39-manylinux_2_17_aarch64.whl", hash = "sha256:7d8b4e00c3d7237b92260fc18a561cd81f1da82e8be100db1b7d816250defc66"}, + {file = "grpcio_tools-1.62.2-cp39-cp39-manylinux_2_17_i686.manylinux2014_i686.whl", hash = "sha256:1fe08d2038f2b7c53259b5c49e0ad08c8e0ce2b548d8185993e7ef67e8592cca"}, + {file = "grpcio_tools-1.62.2-cp39-cp39-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:19216e1fb26dbe23d12a810517e1b3fbb8d4f98b1a3fbebeec9d93a79f092de4"}, + {file = "grpcio_tools-1.62.2-cp39-cp39-musllinux_1_1_i686.whl", hash = "sha256:b8574469ecc4ff41d6bb95f44e0297cdb0d95bade388552a9a444db9cd7485cd"}, + {file = "grpcio_tools-1.62.2-cp39-cp39-musllinux_1_1_x86_64.whl", hash = "sha256:4f6f32d39283ea834a493fccf0ebe9cfddee7577bdcc27736ad4be1732a36399"}, + {file = "grpcio_tools-1.62.2-cp39-cp39-win32.whl", hash = "sha256:76eb459bdf3fb666e01883270beee18f3f11ed44488486b61cd210b4e0e17cc1"}, + {file = "grpcio_tools-1.62.2-cp39-cp39-win_amd64.whl", hash = "sha256:217c2ee6a7ce519a55958b8622e21804f6fdb774db08c322f4c9536c35fdce7c"}, ] [package.dependencies] -grpcio = ">=1.62.1" +grpcio = ">=1.62.2" protobuf = ">=4.21.6,<5.0dev" setuptools = "*" @@ -2945,16 +3184,6 @@ files = [ {file = "hpack-4.0.0.tar.gz", hash = "sha256:fc41de0c63e687ebffde81187a948221294896f6bdc0ae2312708df339430095"}, ] -[[package]] -name = "html2text" -version = "2024.2.26" -description = "Turn HTML into equivalent Markdown-structured text." -optional = false -python-versions = ">=3.8" -files = [ - {file = "html2text-2024.2.26.tar.gz", hash = "sha256:05f8e367d15aaabc96415376776cdd11afd5127a77fce6e36afc60c563ca2c32"}, -] - [[package]] name = "httpcore" version = "1.0.5" @@ -3147,6 +3376,20 @@ files = [ {file = "hyperframe-6.0.1.tar.gz", hash = "sha256:ae510046231dc8e9ecb1a6586f63d2347bf4c8905914aa84ba585ae85f28a914"}, ] +[[package]] +name = "identify" +version = "2.5.36" +description = "File identification library for Python" +optional = false +python-versions = ">=3.8" +files = [ + {file = "identify-2.5.36-py2.py3-none-any.whl", hash = "sha256:37d93f380f4de590500d9dba7db359d0d3da95ffe7f9de1753faa159e71e7dfa"}, + {file = "identify-2.5.36.tar.gz", hash = "sha256:e5e00f54165f9047fbebeb4a560f9acfb8af4c88232be60a488e9b68d122745d"}, +] + +[package.extras] +license = ["ukkonen"] + [[package]] name = "idna" version = "3.7" @@ -3301,6 +3544,20 @@ files = [ {file = "iniconfig-2.0.0.tar.gz", hash = "sha256:2d91e135bf72d31a410b17c16da610a82cb55f6b0477d1a902134b24a455b8b3"}, ] +[[package]] +name = "intel-openmp" +version = "2021.4.0" +description = "Intel OpenMP* Runtime Library" +optional = true +python-versions = "*" +files = [ + {file = "intel_openmp-2021.4.0-py2.py3-none-macosx_10_15_x86_64.macosx_11_0_x86_64.whl", hash = "sha256:41c01e266a7fdb631a7609191709322da2bbf24b252ba763f125dd651bcc7675"}, + {file = "intel_openmp-2021.4.0-py2.py3-none-manylinux1_i686.whl", hash = "sha256:3b921236a38384e2016f0f3d65af6732cf2c12918087128a9163225451e776f2"}, + {file = "intel_openmp-2021.4.0-py2.py3-none-manylinux1_x86_64.whl", hash = "sha256:e2240ab8d01472fed04f3544a878cda5da16c26232b7ea1b59132dbfb48b186e"}, + {file = "intel_openmp-2021.4.0-py2.py3-none-win32.whl", hash = "sha256:6e863d8fd3d7e8ef389d52cf97a50fe2afe1a19247e8c0d168ce021546f96fc9"}, + {file = "intel_openmp-2021.4.0-py2.py3-none-win_amd64.whl", hash = "sha256:eef4c8bcc8acefd7f5cd3b9384dbf73d59e2c99fc56545712ded913f43c4a94f"}, +] + [[package]] name = "ipykernel" version = "6.29.4" @@ -3336,13 +3593,13 @@ test = ["flaky", "ipyparallel", "pre-commit", "pytest (>=7.0)", "pytest-asyncio [[package]] name = "ipython" -version = "8.23.0" +version = "8.24.0" description = "IPython: Productive Interactive Computing" optional = false python-versions = ">=3.10" files = [ - {file = "ipython-8.23.0-py3-none-any.whl", hash = "sha256:07232af52a5ba146dc3372c7bf52a0f890a23edf38d77caef8d53f9cdc2584c1"}, - {file = "ipython-8.23.0.tar.gz", hash = "sha256:7468edaf4f6de3e1b912e57f66c241e6fd3c7099f2ec2136e239e142e800274d"}, + {file = "ipython-8.24.0-py3-none-any.whl", hash = "sha256:d7bf2f6c4314984e3e02393213bab8703cf163ede39672ce5918c51fe253a2a3"}, + {file = "ipython-8.24.0.tar.gz", hash = "sha256:010db3f8a728a578bb641fdd06c063b9fb8e96a9464c63aec6310fbcb5e80501"}, ] [package.dependencies] @@ -3356,7 +3613,7 @@ prompt-toolkit = ">=3.0.41,<3.1.0" pygments = ">=2.4.0" stack-data = "*" traitlets = ">=5.13.0" -typing-extensions = {version = "*", markers = "python_version < \"3.12\""} +typing-extensions = {version = ">=4.6", markers = "python_version < \"3.12\""} [package.extras] all = ["ipython[black,doc,kernel,matplotlib,nbconvert,nbformat,notebook,parallel,qtconsole]", "ipython[test,test-extra]"] @@ -3369,7 +3626,7 @@ nbformat = ["nbformat"] notebook = ["ipywidgets", "notebook"] parallel = ["ipyparallel"] qtconsole = ["qtconsole"] -test = ["pickleshare", "pytest (<8)", "pytest-asyncio (<0.22)", "testpath"] +test = ["pickleshare", "pytest", "pytest-asyncio (<0.22)", "testpath"] test-extra = ["curio", "ipython[test]", "matplotlib (!=3.2.0)", "nbformat", "numpy (>=1.23)", "pandas", "trio"] [[package]] @@ -3404,13 +3661,13 @@ testing = ["Django", "attrs", "colorama", "docopt", "pytest (<7.0.0)"] [[package]] name = "jinja2" -version = "3.1.3" +version = "3.1.4" description = "A very fast and expressive template engine." optional = false python-versions = ">=3.7" files = [ - {file = "Jinja2-3.1.3-py3-none-any.whl", hash = "sha256:7d6d50dd97d52cbc355597bd845fabfbac3f551e1f99619e39a35ce8c370b5fa"}, - {file = "Jinja2-3.1.3.tar.gz", hash = "sha256:ac8bd6544d4bb2c9792bf3a159e80bba8fda7f07e81bc3aed565432d5925ba90"}, + {file = "jinja2-3.1.4-py3-none-any.whl", hash = "sha256:bc5dd2abb727a5319567b7a813e6a2e7318c39f4f487cfe6c89c6f9c7d25197d"}, + {file = "jinja2-3.1.4.tar.gz", hash = "sha256:4a3aee7acbbe7303aede8e9648d13b8bf88a429282aa6122a993f0ac800cb369"}, ] [package.dependencies] @@ -3419,6 +3676,76 @@ MarkupSafe = ">=2.0" [package.extras] i18n = ["Babel (>=2.7)"] +[[package]] +name = "jiter" +version = "0.4.0" +description = "Fast iterable JSON parser." +optional = false +python-versions = ">=3.8" +files = [ + {file = "jiter-0.4.0-cp310-cp310-macosx_10_12_x86_64.whl", hash = "sha256:4aa6226d82a4a4505078c0bd5947bad65399635fc5cd4b226512e41753624edf"}, + {file = "jiter-0.4.0-cp310-cp310-macosx_11_0_arm64.whl", hash = "sha256:947111ac906740a948e7b63799481acd3d5ef666ccb178d146e25718640b7408"}, + {file = "jiter-0.4.0-cp310-cp310-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:69572ffb4e84ae289a7422b9af4ea123cae2ce0772228859b37d4b26b4bc92ea"}, + {file = "jiter-0.4.0-cp310-cp310-manylinux_2_17_armv7l.manylinux2014_armv7l.whl", hash = "sha256:ba6046cbb5d1baa5a781b846f7e5438596a332f249a857d63f86ef5d1d9563b0"}, + {file = "jiter-0.4.0-cp310-cp310-manylinux_2_17_ppc64le.manylinux2014_ppc64le.whl", hash = "sha256:d4f346e54602782e66d07df0d1c7389384fd93680052ed6170da2c6dc758409e"}, + {file = "jiter-0.4.0-cp310-cp310-manylinux_2_17_s390x.manylinux2014_s390x.whl", hash = "sha256:49110ce693f07e97d61089d894cea05a0b9894d5ccc6ac6fc583028726c8c8af"}, + {file = "jiter-0.4.0-cp310-cp310-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:2e358df6fd129f3a4e087539f086355ad0107e5da16dbc8bc857d94222eaeed5"}, + {file = "jiter-0.4.0-cp310-cp310-manylinux_2_5_i686.manylinux1_i686.whl", hash = "sha256:7eb852ca39a48f3c049def56f0d1771b32e948e4f429a782d14ef4cc64cfd26e"}, + {file = "jiter-0.4.0-cp310-cp310-musllinux_1_1_aarch64.whl", hash = "sha256:44dc045decb2545bffe2da04ea4c36d9438d3f3d49fc47ed423ea75c352b712e"}, + {file = "jiter-0.4.0-cp310-cp310-musllinux_1_1_x86_64.whl", hash = "sha256:413adb15372ac63db04373240f40925788e4282c997eeafc2040530049a0a599"}, + {file = "jiter-0.4.0-cp310-none-win32.whl", hash = "sha256:0b48ea71673a97b897e4b94bbc871e62495a5a85f836c9f90712a4c70aa3ef7e"}, + {file = "jiter-0.4.0-cp310-none-win_amd64.whl", hash = "sha256:6a1c84b44afafaf0ba6223679cf17af664b889da14da31d8af3595fd977d96fa"}, + {file = "jiter-0.4.0-cp311-cp311-macosx_10_12_x86_64.whl", hash = "sha256:b2cc498345fa37ca23fbc20271a553aa46e6eb00924600f49b7dc4b2aa8952ee"}, + {file = "jiter-0.4.0-cp311-cp311-macosx_11_0_arm64.whl", hash = "sha256:69f7221ac09ab421abf04f89942026868297c568133998fb181bcf435760cbf3"}, + {file = "jiter-0.4.0-cp311-cp311-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:ef7d01c52f3e5a56ae73af36bd13797dd1a56711eb522748e5e84d15425b3f10"}, + {file = "jiter-0.4.0-cp311-cp311-manylinux_2_17_armv7l.manylinux2014_armv7l.whl", hash = "sha256:39be97d5ce0c4d0dae28c23c03a0af0501a725589427e99763f99c42e18aa402"}, + {file = "jiter-0.4.0-cp311-cp311-manylinux_2_17_ppc64le.manylinux2014_ppc64le.whl", hash = "sha256:eac2ed1ec1e577b92b7ea2d4e6de8aec0c1164defd8af8affdc8ec0f0ec2904a"}, + {file = "jiter-0.4.0-cp311-cp311-manylinux_2_17_s390x.manylinux2014_s390x.whl", hash = "sha256:6258837d184c92c9cb91c983c310ad7269d41afb49d34f00ca9246e073943a03"}, + {file = "jiter-0.4.0-cp311-cp311-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:123c2a77b066bf17a4d021e238e8351058cfa56b90ac04f2522d120dc64ea055"}, + {file = "jiter-0.4.0-cp311-cp311-manylinux_2_5_i686.manylinux1_i686.whl", hash = "sha256:2df939f792c7a40e55f36700417db551b9f6b84d348990fa0f2c608adeb1f11b"}, + {file = "jiter-0.4.0-cp311-cp311-musllinux_1_1_aarch64.whl", hash = "sha256:cb1b09b16d40cf9ba1d11ba11e5b96ad29286a6a1c4ad5e6a2aef5e352a89f5d"}, + {file = "jiter-0.4.0-cp311-cp311-musllinux_1_1_x86_64.whl", hash = "sha256:0efb4208889ebdbf933bf08dbcbc16e64ffd34c8e2b28044ee142789a9dc3a67"}, + {file = "jiter-0.4.0-cp311-none-win32.whl", hash = "sha256:20545ac1b68e7e5b066a1e8347840c9cebdd02ace65faae2e655fc02ec5c915c"}, + {file = "jiter-0.4.0-cp311-none-win_amd64.whl", hash = "sha256:6b300f9887c8e4431cd03a974ea3e4f9958885636003c3864220a9b2d2f8462b"}, + {file = "jiter-0.4.0-cp312-cp312-macosx_10_12_x86_64.whl", hash = "sha256:923432a0563bbae404ff25bb010e348514a69bfab979f2f8119b23b625dbf6d9"}, + {file = "jiter-0.4.0-cp312-cp312-macosx_11_0_arm64.whl", hash = "sha256:ab8bb0ec8b97cec4422dc8b37b525442d969244488c805b834609ab0ccd788e2"}, + {file = "jiter-0.4.0-cp312-cp312-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:b857adb127b9c533907226791eafa79c5038c3eb5a477984994bf7c4715ba518"}, + {file = "jiter-0.4.0-cp312-cp312-manylinux_2_17_armv7l.manylinux2014_armv7l.whl", hash = "sha256:2609cc0d1d8d470e921ff9a604afeb4c701bbe13e00bd9834d5aa6e7ea732a9b"}, + {file = "jiter-0.4.0-cp312-cp312-manylinux_2_17_ppc64le.manylinux2014_ppc64le.whl", hash = "sha256:d39e99f8b7df46a119b6f84321f6ba01f16fa46abfa765d44c05c486d8e66829"}, + {file = "jiter-0.4.0-cp312-cp312-manylinux_2_17_s390x.manylinux2014_s390x.whl", hash = "sha256:56de8b518ebfe76a70f856741f6de248ce396c50a87acef827b6e8388e3a502d"}, + {file = "jiter-0.4.0-cp312-cp312-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:488b7e777be47f67ce1a1f8f8eb907f9bbd81af5c03784a9bab09d025c250233"}, + {file = "jiter-0.4.0-cp312-cp312-manylinux_2_5_i686.manylinux1_i686.whl", hash = "sha256:7ea35e0ecbb5dadd457855eb980dcc548c14cf5341bcd22a43814cb56f2bcc79"}, + {file = "jiter-0.4.0-cp312-cp312-musllinux_1_1_aarch64.whl", hash = "sha256:e1a9e9ee69c80b63951c93226b68d0e955953f64fe758bad2afe7ef7f9016af9"}, + {file = "jiter-0.4.0-cp312-cp312-musllinux_1_1_x86_64.whl", hash = "sha256:78e2f3cc2a32a21d43ccc5afcf66f5d17e827ccc4e6d21c0b353bdad2c7dcc9c"}, + {file = "jiter-0.4.0-cp312-none-win32.whl", hash = "sha256:eeaa7a2b47a99f4ebbb4142bb58b95617e09f24c87570f6a57d2770687c9ddbe"}, + {file = "jiter-0.4.0-cp312-none-win_amd64.whl", hash = "sha256:8d4a78b385b93ff59a67215d26000fcb4789a388fca3730d1b60fab17fc81e3c"}, + {file = "jiter-0.4.0-cp38-cp38-macosx_10_12_x86_64.whl", hash = "sha256:ebf20a3fac1089ce26963bf04140da0f803d55332ec69d59c5a87cf1a87d29c4"}, + {file = "jiter-0.4.0-cp38-cp38-macosx_11_0_arm64.whl", hash = "sha256:d62244ffc6a168187452277adeefb7b2c30170689c6bf543a51e98e8c17ddab7"}, + {file = "jiter-0.4.0-cp38-cp38-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:40b2cde77446a41cec595739fd168be87edff2428eaf7c3438231224dd0ab7a5"}, + {file = "jiter-0.4.0-cp38-cp38-manylinux_2_17_armv7l.manylinux2014_armv7l.whl", hash = "sha256:e51fc0a22021ec8905b9b00a2f7d25756f2ff7a653e35a790a2067ae126b51f6"}, + {file = "jiter-0.4.0-cp38-cp38-manylinux_2_17_ppc64le.manylinux2014_ppc64le.whl", hash = "sha256:a56e6f980b89d7cfe5c43811dcf52d6f37b319428a4540511235dafda9ea7808"}, + {file = "jiter-0.4.0-cp38-cp38-manylinux_2_17_s390x.manylinux2014_s390x.whl", hash = "sha256:f0fec16adab8d3d3d6d74e3711a1f380836ebeab2a20e3f88cfe2ec5094d8b84"}, + {file = "jiter-0.4.0-cp38-cp38-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:19e3de515801c954e8f1dc1f575282a4a86df9e782d4993ea1ed2be9a8dedaa0"}, + {file = "jiter-0.4.0-cp38-cp38-manylinux_2_5_i686.manylinux1_i686.whl", hash = "sha256:17e0ad8abf0bb04d81810eaeaab35d2c99b5da11fcd1058e0a389607ff6503b0"}, + {file = "jiter-0.4.0-cp38-cp38-musllinux_1_1_aarch64.whl", hash = "sha256:8dc0132b728f3b3e90ff0d1874504cd49c78f3553bf3745168a7fc0b4cf674e1"}, + {file = "jiter-0.4.0-cp38-cp38-musllinux_1_1_x86_64.whl", hash = "sha256:81a883104aa96e494d3d28eaf7070780d03ecee8ccfdfaf7e4899710340c47f1"}, + {file = "jiter-0.4.0-cp38-none-win32.whl", hash = "sha256:a044c53ab1aaa4af624ac9574181b5bad8e260aea7e03104738156511433deba"}, + {file = "jiter-0.4.0-cp38-none-win_amd64.whl", hash = "sha256:d920035c869053e3d9a0b3ff94384d16a8ef5fde3dea55f97bd29916f6e27554"}, + {file = "jiter-0.4.0-cp39-cp39-macosx_10_12_x86_64.whl", hash = "sha256:091e978f4e586a2f1c69bf940d45f4e6a23455877172a0ab7d6de04a3b119299"}, + {file = "jiter-0.4.0-cp39-cp39-macosx_11_0_arm64.whl", hash = "sha256:79134b2d601309bcbe3304a262d7d228ad61d53c80883231c637773000a6d683"}, + {file = "jiter-0.4.0-cp39-cp39-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:c471473e0b05058b5d729ff04271b6d45a575ac8bd9948563268c734b380ac7e"}, + {file = "jiter-0.4.0-cp39-cp39-manylinux_2_17_armv7l.manylinux2014_armv7l.whl", hash = "sha256:bb84b8930da8b32b0b1fdff9817e2c4b47e8981b5647ad11c4975403416e4112"}, + {file = "jiter-0.4.0-cp39-cp39-manylinux_2_17_ppc64le.manylinux2014_ppc64le.whl", hash = "sha256:7f2805e28941751ebfe0948596a64cde4cfb9b84bea5282affd020063e659c96"}, + {file = "jiter-0.4.0-cp39-cp39-manylinux_2_17_s390x.manylinux2014_s390x.whl", hash = "sha256:42ef59f9e513bf081a8b5c5578933ea9c3a63e559e6e3501a3e72edcd456ff5e"}, + {file = "jiter-0.4.0-cp39-cp39-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:3ae12e3906f9e565120ab569de261b738e3a1ec50c40e30c67499e4f893e9a8c"}, + {file = "jiter-0.4.0-cp39-cp39-manylinux_2_5_i686.manylinux1_i686.whl", hash = "sha256:264dc1324f45a793bc89af4f653225229eb17bca9ec7107dce6c8fb4fe68d20f"}, + {file = "jiter-0.4.0-cp39-cp39-musllinux_1_1_aarch64.whl", hash = "sha256:9a1c172ec47d846e25881dfbd52438ddb690da4ea04d185e477abd3db6c32f8a"}, + {file = "jiter-0.4.0-cp39-cp39-musllinux_1_1_x86_64.whl", hash = "sha256:ccde31d0bc114aedad0dbd71b7f63ba0f0eecd7ec9ae1926a0ca01c1eb2854e7"}, + {file = "jiter-0.4.0-cp39-none-win32.whl", hash = "sha256:13139b05792fbc13a0f9a5b4c89823ea0874141decae1b8f693f12bb1d28e061"}, + {file = "jiter-0.4.0-cp39-none-win_amd64.whl", hash = "sha256:3a729b2631c6d5551a41069697415fee9659c3eadc9ab87369376ba51930cd00"}, + {file = "jiter-0.4.0.tar.gz", hash = "sha256:68203e02e0419bc3eca717c580c2d8f615aeee1150e2a1fb68d6600a7e52a37c"}, +] + [[package]] name = "jmespath" version = "1.0.1" @@ -3537,17 +3864,6 @@ files = [ [package.dependencies] jsonpointer = ">=1.9" -[[package]] -name = "jsonpath-python" -version = "1.0.6" -description = "A more powerful JSONPath implementation in modern python" -optional = false -python-versions = ">=3.6" -files = [ - {file = "jsonpath-python-1.0.6.tar.gz", hash = "sha256:dd5be4a72d8a2995c3f583cf82bf3cd1a9544cfdabf2d22595b67aff07349666"}, - {file = "jsonpath_python-1.0.6-py3-none-any.whl", hash = "sha256:1e3b78df579f5efc23565293612decee04214609208a2335884b3ee3f786b575"}, -] - [[package]] name = "jsonpointer" version = "2.4" @@ -3561,13 +3877,13 @@ files = [ [[package]] name = "jupyter-client" -version = "8.6.1" +version = "8.6.2" description = "Jupyter protocol implementation and client libraries" optional = false python-versions = ">=3.8" files = [ - {file = "jupyter_client-8.6.1-py3-none-any.whl", hash = "sha256:3b7bd22f058434e3b9a7ea4b1500ed47de2713872288c0d511d19926f99b459f"}, - {file = "jupyter_client-8.6.1.tar.gz", hash = "sha256:e842515e2bab8e19186d89fdfea7abd15e39dd581f94e399f00e2af5a1652d3f"}, + {file = "jupyter_client-8.6.2-py3-none-any.whl", hash = "sha256:50cbc5c66fd1b8f65ecb66bc490ab73217993632809b6e505687de18e9dea39f"}, + {file = "jupyter_client-8.6.2.tar.gz", hash = "sha256:2bda14d55ee5ba58552a8c53ae43d215ad9868853489213f37da060ced54d8df"}, ] [package.dependencies] @@ -3579,7 +3895,7 @@ traitlets = ">=5.3" [package.extras] docs = ["ipykernel", "myst-parser", "pydata-sphinx-theme", "sphinx (>=4)", "sphinx-autodoc-typehints", "sphinxcontrib-github-alt", "sphinxcontrib-spelling"] -test = ["coverage", "ipykernel (>=6.14)", "mypy", "paramiko", "pre-commit", "pytest", "pytest-cov", "pytest-jupyter[client] (>=0.4.1)", "pytest-timeout"] +test = ["coverage", "ipykernel (>=6.14)", "mypy", "paramiko", "pre-commit", "pytest (<8.2.0)", "pytest-cov", "pytest-jupyter[client] (>=0.4.1)", "pytest-timeout"] [[package]] name = "jupyter-core" @@ -3661,22 +3977,21 @@ adal = ["adal (>=1.0.2)"] [[package]] name = "langchain" -version = "0.1.16" +version = "0.1.20" description = "Building applications with LLMs through composability" optional = false python-versions = "<4.0,>=3.8.1" files = [ - {file = "langchain-0.1.16-py3-none-any.whl", hash = "sha256:bc074cc5e51fad79b9ead1572fc3161918d0f614a6c8f0460543d505ad249ac7"}, - {file = "langchain-0.1.16.tar.gz", hash = "sha256:b6bce78f8c071baa898884accfff15c3d81da2f0dd86c20e2f4c80b41463f49f"}, + {file = "langchain-0.1.20-py3-none-any.whl", hash = "sha256:09991999fbd6c3421a12db3c7d1f52d55601fc41d9b2a3ef51aab2e0e9c38da9"}, + {file = "langchain-0.1.20.tar.gz", hash = "sha256:f35c95eed8c8375e02dce95a34f2fd4856a4c98269d6dc34547a23dba5beab7e"}, ] [package.dependencies] aiohttp = ">=3.8.3,<4.0.0" async-timeout = {version = ">=4.0.0,<5.0.0", markers = "python_version < \"3.11\""} dataclasses-json = ">=0.5.7,<0.7" -jsonpatch = ">=1.33,<2.0" -langchain-community = ">=0.0.32,<0.1" -langchain-core = ">=0.1.42,<0.2.0" +langchain-community = ">=0.0.38,<0.1" +langchain-core = ">=0.1.52,<0.2.0" langchain-text-splitters = ">=0.0.1,<0.1" langsmith = ">=0.1.17,<0.2.0" numpy = ">=1,<2" @@ -3702,19 +4017,19 @@ text-helpers = ["chardet (>=5.1.0,<6.0.0)"] [[package]] name = "langchain-anthropic" -version = "0.1.11" +version = "0.1.13" description = "An integration package connecting AnthropicMessages and LangChain" optional = false python-versions = "<4.0,>=3.8.1" files = [ - {file = "langchain_anthropic-0.1.11-py3-none-any.whl", hash = "sha256:21a9b72e14292f5f97d8a21ae1b3d799ff4d541fadc327deb7df62f1c96513a1"}, - {file = "langchain_anthropic-0.1.11.tar.gz", hash = "sha256:b00e01cb22dbfd6a111f2c713f0a056770ae6fb677c9271998d0e360e25c3d12"}, + {file = "langchain_anthropic-0.1.13-py3-none-any.whl", hash = "sha256:121f6f480da7685c239573d98322adb94fe486d40651ac341637f65da36881de"}, + {file = "langchain_anthropic-0.1.13.tar.gz", hash = "sha256:32e7ac51e1874c47e1a20493e75f5bfc88b0ffeaf5f1aed6091547e1ae44bb85"}, ] [package.dependencies] -anthropic = ">=0.23.0,<1" +anthropic = ">=0.26.0,<1" defusedxml = ">=0.7.1,<0.8.0" -langchain-core = ">=0.1.43,<0.2.0" +langchain-core = ">=0.1.43,<0.3" [[package]] name = "langchain-astradb" @@ -3734,34 +4049,34 @@ numpy = ">=1,<2" [[package]] name = "langchain-cohere" -version = "0.1.3" +version = "0.1.5" description = "An integration package connecting Cohere and LangChain" optional = false python-versions = "<4.0,>=3.8.1" files = [ - {file = "langchain_cohere-0.1.3-py3-none-any.whl", hash = "sha256:c501b290a8de57d98c24cf7be2a537246342e958d132b87629b385fc1f3f1f32"}, - {file = "langchain_cohere-0.1.3.tar.gz", hash = "sha256:5a8e01d5e612dc0fdb55bcfb1ccc0f8754c22af97f5e82a961b3ab2e4565b9e9"}, + {file = "langchain_cohere-0.1.5-py3-none-any.whl", hash = "sha256:f07bd53fadbebf744b8de1eebf977353f340f2010156821623a0c6247032ab9b"}, + {file = "langchain_cohere-0.1.5.tar.gz", hash = "sha256:d0be4e76079a74c4259fe4db2bab535d690efe0efac5e9e2fbf486476c0a85c8"}, ] [package.dependencies] -cohere = ">=5.3,<6.0" -langchain-core = ">=0.1.42,<0.2.0" +cohere = ">=5.5,<6.0" +langchain-core = ">=0.1.42,<0.3" [[package]] name = "langchain-community" -version = "0.0.33" +version = "0.0.38" description = "Community contributed LangChain integrations." optional = false python-versions = "<4.0,>=3.8.1" files = [ - {file = "langchain_community-0.0.33-py3-none-any.whl", hash = "sha256:830f0d5f4ff9638b99ca01820c26abfa4b65fa705ef89b5ce55ac9aa3a7d83af"}, - {file = "langchain_community-0.0.33.tar.gz", hash = "sha256:bb56dbc1ef11ca09f258468e11368781adda9219e144073e30cda69496d342b2"}, + {file = "langchain_community-0.0.38-py3-none-any.whl", hash = "sha256:ecb48660a70a08c90229be46b0cc5f6bc9f38f2833ee44c57dfab9bf3a2c121a"}, + {file = "langchain_community-0.0.38.tar.gz", hash = "sha256:127fc4b75bc67b62fe827c66c02e715a730fef8fe69bd2023d466bab06b5810d"}, ] [package.dependencies] aiohttp = ">=3.8.3,<4.0.0" dataclasses-json = ">=0.5.7,<0.7" -langchain-core = ">=0.1.43,<0.2.0" +langchain-core = ">=0.1.52,<0.2.0" langsmith = ">=0.1.0,<0.2.0" numpy = ">=1,<2" PyYAML = ">=5.3" @@ -3771,17 +4086,17 @@ tenacity = ">=8.1.0,<9.0.0" [package.extras] cli = ["typer (>=0.9.0,<0.10.0)"] -extended-testing = ["aiosqlite (>=0.19.0,<0.20.0)", "aleph-alpha-client (>=2.15.0,<3.0.0)", "anthropic (>=0.3.11,<0.4.0)", "arxiv (>=1.4,<2.0)", "assemblyai (>=0.17.0,<0.18.0)", "atlassian-python-api (>=3.36.0,<4.0.0)", "azure-ai-documentintelligence (>=1.0.0b1,<2.0.0)", "beautifulsoup4 (>=4,<5)", "bibtexparser (>=1.4.0,<2.0.0)", "cassio (>=0.1.0,<0.2.0)", "chardet (>=5.1.0,<6.0.0)", "cloudpickle (>=2.0.0)", "cohere (>=4,<5)", "databricks-vectorsearch (>=0.21,<0.22)", "datasets (>=2.15.0,<3.0.0)", "dgml-utils (>=0.3.0,<0.4.0)", "elasticsearch (>=8.12.0,<9.0.0)", "esprima (>=4.0.1,<5.0.0)", "faiss-cpu (>=1,<2)", "feedparser (>=6.0.10,<7.0.0)", "fireworks-ai (>=0.9.0,<0.10.0)", "friendli-client (>=1.2.4,<2.0.0)", "geopandas (>=0.13.1,<0.14.0)", "gitpython (>=3.1.32,<4.0.0)", "google-cloud-documentai (>=2.20.1,<3.0.0)", "gql (>=3.4.1,<4.0.0)", "gradientai (>=1.4.0,<2.0.0)", "hdbcli (>=2.19.21,<3.0.0)", "hologres-vector (>=0.0.6,<0.0.7)", "html2text (>=2020.1.16,<2021.0.0)", "httpx (>=0.24.1,<0.25.0)", "httpx-sse (>=0.4.0,<0.5.0)", "javelin-sdk (>=0.1.8,<0.2.0)", "jinja2 (>=3,<4)", "jq (>=1.4.1,<2.0.0)", "jsonschema (>1)", "lxml (>=4.9.3,<6.0)", "markdownify (>=0.11.6,<0.12.0)", "motor (>=3.3.1,<4.0.0)", "msal (>=1.25.0,<2.0.0)", "mwparserfromhell (>=0.6.4,<0.7.0)", "mwxml (>=0.3.3,<0.4.0)", "newspaper3k (>=0.2.8,<0.3.0)", "numexpr (>=2.8.6,<3.0.0)", "nvidia-riva-client (>=2.14.0,<3.0.0)", "oci (>=2.119.1,<3.0.0)", "openai (<2)", "openapi-pydantic (>=0.3.2,<0.4.0)", "oracle-ads (>=2.9.1,<3.0.0)", "pandas (>=2.0.1,<3.0.0)", "pdfminer-six (>=20221105,<20221106)", "pgvector (>=0.1.6,<0.2.0)", "praw (>=7.7.1,<8.0.0)", "premai (>=0.3.25,<0.4.0)", "psychicapi (>=0.8.0,<0.9.0)", "py-trello (>=0.19.0,<0.20.0)", "pyjwt (>=2.8.0,<3.0.0)", "pymupdf (>=1.22.3,<2.0.0)", "pypdf (>=3.4.0,<4.0.0)", "pypdfium2 (>=4.10.0,<5.0.0)", "pyspark (>=3.4.0,<4.0.0)", "rank-bm25 (>=0.2.2,<0.3.0)", "rapidfuzz (>=3.1.1,<4.0.0)", "rapidocr-onnxruntime (>=1.3.2,<2.0.0)", "rdflib (==7.0.0)", "requests-toolbelt (>=1.0.0,<2.0.0)", "rspace_client (>=2.5.0,<3.0.0)", "scikit-learn (>=1.2.2,<2.0.0)", "sqlite-vss (>=0.1.2,<0.2.0)", "streamlit (>=1.18.0,<2.0.0)", "sympy (>=1.12,<2.0)", "telethon (>=1.28.5,<2.0.0)", "tidb-vector (>=0.0.3,<1.0.0)", "timescale-vector (>=0.0.1,<0.0.2)", "tqdm (>=4.48.0)", "tree-sitter (>=0.20.2,<0.21.0)", "tree-sitter-languages (>=1.8.0,<2.0.0)", "upstash-redis (>=0.15.0,<0.16.0)", "vdms (>=0.0.20,<0.0.21)", "xata (>=1.0.0a7,<2.0.0)", "xmltodict (>=0.13.0,<0.14.0)"] +extended-testing = ["aiosqlite (>=0.19.0,<0.20.0)", "aleph-alpha-client (>=2.15.0,<3.0.0)", "anthropic (>=0.3.11,<0.4.0)", "arxiv (>=1.4,<2.0)", "assemblyai (>=0.17.0,<0.18.0)", "atlassian-python-api (>=3.36.0,<4.0.0)", "azure-ai-documentintelligence (>=1.0.0b1,<2.0.0)", "azure-identity (>=1.15.0,<2.0.0)", "azure-search-documents (==11.4.0)", "beautifulsoup4 (>=4,<5)", "bibtexparser (>=1.4.0,<2.0.0)", "cassio (>=0.1.6,<0.2.0)", "chardet (>=5.1.0,<6.0.0)", "cloudpickle (>=2.0.0)", "cohere (>=4,<5)", "databricks-vectorsearch (>=0.21,<0.22)", "datasets (>=2.15.0,<3.0.0)", "dgml-utils (>=0.3.0,<0.4.0)", "elasticsearch (>=8.12.0,<9.0.0)", "esprima (>=4.0.1,<5.0.0)", "faiss-cpu (>=1,<2)", "feedparser (>=6.0.10,<7.0.0)", "fireworks-ai (>=0.9.0,<0.10.0)", "friendli-client (>=1.2.4,<2.0.0)", "geopandas (>=0.13.1,<0.14.0)", "gitpython (>=3.1.32,<4.0.0)", "google-cloud-documentai (>=2.20.1,<3.0.0)", "gql (>=3.4.1,<4.0.0)", "gradientai (>=1.4.0,<2.0.0)", "hdbcli (>=2.19.21,<3.0.0)", "hologres-vector (>=0.0.6,<0.0.7)", "html2text (>=2020.1.16,<2021.0.0)", "httpx (>=0.24.1,<0.25.0)", "httpx-sse (>=0.4.0,<0.5.0)", "javelin-sdk (>=0.1.8,<0.2.0)", "jinja2 (>=3,<4)", "jq (>=1.4.1,<2.0.0)", "jsonschema (>1)", "lxml (>=4.9.3,<6.0)", "markdownify (>=0.11.6,<0.12.0)", "motor (>=3.3.1,<4.0.0)", "msal (>=1.25.0,<2.0.0)", "mwparserfromhell (>=0.6.4,<0.7.0)", "mwxml (>=0.3.3,<0.4.0)", "newspaper3k (>=0.2.8,<0.3.0)", "numexpr (>=2.8.6,<3.0.0)", "nvidia-riva-client (>=2.14.0,<3.0.0)", "oci (>=2.119.1,<3.0.0)", "openai (<2)", "openapi-pydantic (>=0.3.2,<0.4.0)", "oracle-ads (>=2.9.1,<3.0.0)", "oracledb (>=2.2.0,<3.0.0)", "pandas (>=2.0.1,<3.0.0)", "pdfminer-six (>=20221105,<20221106)", "pgvector (>=0.1.6,<0.2.0)", "praw (>=7.7.1,<8.0.0)", "premai (>=0.3.25,<0.4.0)", "psychicapi (>=0.8.0,<0.9.0)", "py-trello (>=0.19.0,<0.20.0)", "pyjwt (>=2.8.0,<3.0.0)", "pymupdf (>=1.22.3,<2.0.0)", "pypdf (>=3.4.0,<4.0.0)", "pypdfium2 (>=4.10.0,<5.0.0)", "pyspark (>=3.4.0,<4.0.0)", "rank-bm25 (>=0.2.2,<0.3.0)", "rapidfuzz (>=3.1.1,<4.0.0)", "rapidocr-onnxruntime (>=1.3.2,<2.0.0)", "rdflib (==7.0.0)", "requests-toolbelt (>=1.0.0,<2.0.0)", "rspace_client (>=2.5.0,<3.0.0)", "scikit-learn (>=1.2.2,<2.0.0)", "sqlite-vss (>=0.1.2,<0.2.0)", "streamlit (>=1.18.0,<2.0.0)", "sympy (>=1.12,<2.0)", "telethon (>=1.28.5,<2.0.0)", "tidb-vector (>=0.0.3,<1.0.0)", "timescale-vector (>=0.0.1,<0.0.2)", "tqdm (>=4.48.0)", "tree-sitter (>=0.20.2,<0.21.0)", "tree-sitter-languages (>=1.8.0,<2.0.0)", "upstash-redis (>=0.15.0,<0.16.0)", "vdms (>=0.0.20,<0.0.21)", "xata (>=1.0.0a7,<2.0.0)", "xmltodict (>=0.13.0,<0.14.0)"] [[package]] name = "langchain-core" -version = "0.1.44" +version = "0.1.52" description = "Building applications with LLMs through composability" optional = false python-versions = "<4.0,>=3.8.1" files = [ - {file = "langchain_core-0.1.44-py3-none-any.whl", hash = "sha256:d8772dccef95fc97bfa2dcd19412e620ebe14def1f0e218374971f6e30a46a49"}, - {file = "langchain_core-0.1.44.tar.gz", hash = "sha256:e313975d9ae2926342e6f2ad760338d31f18b1223e9b8b4dc408daeeade46a83"}, + {file = "langchain_core-0.1.52-py3-none-any.whl", hash = "sha256:62566749c92e8a1181c255c788548dc16dbc319d896cd6b9c95dc17af9b2a6db"}, + {file = "langchain_core-0.1.52.tar.gz", hash = "sha256:084c3fc452f5a6966c28ab3ec5dbc8b8d26fc3f63378073928f4e29d90b6393f"}, ] [package.dependencies] @@ -3797,72 +4112,139 @@ extended-testing = ["jinja2 (>=3,<4)"] [[package]] name = "langchain-experimental" -version = "0.0.57" +version = "0.0.58" description = "Building applications with LLMs through composability" optional = false python-versions = "<4.0,>=3.8.1" files = [ - {file = "langchain_experimental-0.0.57-py3-none-any.whl", hash = "sha256:96479a2d45a35722cf2fe49655639e91d3fff5ccaba498cda32b088d5b184325"}, - {file = "langchain_experimental-0.0.57.tar.gz", hash = "sha256:d1fb452aa1f04f32f0e08b83b083f35552f4ece1077c5bdcf86327f56f1758b5"}, + {file = "langchain_experimental-0.0.58-py3-none-any.whl", hash = "sha256:106d3bc7df3dd20687378db7534c2fc21e2589201d43de42f832a1e3913dd55b"}, + {file = "langchain_experimental-0.0.58.tar.gz", hash = "sha256:8ef10ff6b39f44ef468f8f21beb3749957d2262ec64d05db2719934936ca0285"}, ] [package.dependencies] -langchain = ">=0.1.15,<0.2.0" -langchain-core = ">=0.1.41,<0.2.0" +langchain = ">=0.1.17,<0.2.0" +langchain-core = ">=0.1.52,<0.2.0" [package.extras] extended-testing = ["faker (>=19.3.1,<20.0.0)", "jinja2 (>=3,<4)", "pandas (>=2.0.1,<3.0.0)", "presidio-analyzer (>=2.2.352,<3.0.0)", "presidio-anonymizer (>=2.2.352,<3.0.0)", "sentence-transformers (>=2,<3)", "tabulate (>=0.9.0,<0.10.0)", "vowpal-wabbit-next (==0.6.0)"] [[package]] name = "langchain-google-genai" -version = "1.0.2" +version = "1.0.4" description = "An integration package connecting Google's genai package and LangChain" optional = false python-versions = "<4.0,>=3.9" files = [ - {file = "langchain_google_genai-1.0.2-py3-none-any.whl", hash = "sha256:98c29e17a1e291ad4c5ac1b77248e3e18440916fcf1e35932a0ef398639f996f"}, - {file = "langchain_google_genai-1.0.2.tar.gz", hash = "sha256:358acb930920b32d567d7bf0492526c92bcacd1c6c130da160de15f7364f1e81"}, + {file = "langchain_google_genai-1.0.4-py3-none-any.whl", hash = "sha256:e567cc401f8d629fce489ee031d258da7fa4b7da0abb8ed926d6990c650b659e"}, + {file = "langchain_google_genai-1.0.4.tar.gz", hash = "sha256:b6beccfe7504ce9f8778a8df23dc49239fd91cf076a55d61759a09fc1373ca26"}, ] [package.dependencies] -google-generativeai = ">=0.5.0,<0.6.0" -langchain-core = ">=0.1.27,<0.2" +google-generativeai = ">=0.5.2,<0.6.0" +langchain-core = ">=0.1.45,<0.3" [package.extras] images = ["pillow (>=10.1.0,<11.0.0)"] +[[package]] +name = "langchain-google-vertexai" +version = "1.0.4" +description = "An integration package connecting Google VertexAI and LangChain" +optional = false +python-versions = "<4.0,>=3.8.1" +files = [ + {file = "langchain_google_vertexai-1.0.4-py3-none-any.whl", hash = "sha256:f9d217df2d5cfafb2e551ddd5f1c43611222f542ee0df0cc3b5faed82e657ee3"}, + {file = "langchain_google_vertexai-1.0.4.tar.gz", hash = "sha256:bb2d2e93cc2896b9bdc96789c2df247f6392184dffc0c3dddc06889f2b530465"}, +] + +[package.dependencies] +google-cloud-aiplatform = ">=1.47.0,<2.0.0" +google-cloud-storage = ">=2.14.0,<3.0.0" +langchain-core = ">=0.1.42,<0.3" + +[package.extras] +anthropic = ["anthropic[vertexai] (>=0.23.0,<1)"] + +[[package]] +name = "langchain-groq" +version = "0.1.4" +description = "An integration package connecting Groq and LangChain" +optional = false +python-versions = "<4.0,>=3.8.1" +files = [ + {file = "langchain_groq-0.1.4-py3-none-any.whl", hash = "sha256:83fa9252eb841dc29e7c0b77c5374fa26383b909c2e87eb54824ff0f9529f173"}, + {file = "langchain_groq-0.1.4.tar.gz", hash = "sha256:eb7e517cfcb245b0b598f93c1e87cc15100e336eb0c1b930c43e7a19dbe131d6"}, +] + +[package.dependencies] +groq = ">=0.4.1,<1" +langchain-core = ">=0.1.45,<0.3" + +[[package]] +name = "langchain-mistralai" +version = "0.1.7" +description = "An integration package connecting Mistral and LangChain" +optional = false +python-versions = "<4.0,>=3.8.1" +files = [ + {file = "langchain_mistralai-0.1.7-py3-none-any.whl", hash = "sha256:4ab08ebafc5398767dbc4d6d371f4f2bc0974b01b02cb0ee71d351871a370479"}, + {file = "langchain_mistralai-0.1.7.tar.gz", hash = "sha256:44d3fb15ab10b5a04a2cc544d1292af3f884288a59de08a8d7bdd74ce50ddf75"}, +] + +[package.dependencies] +httpx = ">=0.25.2,<1" +httpx-sse = ">=0.3.1,<1" +langchain-core = ">=0.1.46,<0.3" +tokenizers = ">=0.15.1,<1" + [[package]] name = "langchain-openai" -version = "0.1.3" +version = "0.1.7" description = "An integration package connecting OpenAI and LangChain" optional = false python-versions = "<4.0,>=3.8.1" files = [ - {file = "langchain_openai-0.1.3-py3-none-any.whl", hash = "sha256:fa1f27815649291447e5370cb08e2f5a84e5c7c6121d0c055a6e296bd16d1e47"}, - {file = "langchain_openai-0.1.3.tar.gz", hash = "sha256:7f6e377d6bf88d6c2b1969fe5eecc1326271757512739e2f17c855cd7af53345"}, + {file = "langchain_openai-0.1.7-py3-none-any.whl", hash = "sha256:39c3cb22bb739900ae8294d4d9939a6138c0ca7ad11198e57038eb14c08d04ec"}, + {file = "langchain_openai-0.1.7.tar.gz", hash = "sha256:fd7e1c33ba8e2cab4b2154f3a2fd4a0d9cc6518b41cf49bb87255f9f732a4896"}, ] [package.dependencies] -langchain-core = ">=0.1.42,<0.2.0" -openai = ">=1.10.0,<2.0.0" -tiktoken = ">=0.5.2,<1" +langchain-core = ">=0.1.46,<0.3" +openai = ">=1.24.0,<2.0.0" +tiktoken = ">=0.7,<1" + +[[package]] +name = "langchain-pinecone" +version = "0.1.1" +description = "An integration package connecting Pinecone and LangChain" +optional = false +python-versions = "<3.13,>=3.8.1" +files = [ + {file = "langchain_pinecone-0.1.1-py3-none-any.whl", hash = "sha256:d2c2d11664533d75f9a5afa9a16e2a300f45e3f584250585c7145a8694298a21"}, + {file = "langchain_pinecone-0.1.1.tar.gz", hash = "sha256:e33492443ede67c56ed08b0cf8642a1fd93585869cb5afd23606b429f1b2c61a"}, +] + +[package.dependencies] +langchain-core = ">=0.1.52,<0.3" +numpy = ">=1,<2" +pinecone-client = ">=3.2.2,<4.0.0" [[package]] name = "langchain-text-splitters" -version = "0.0.1" +version = "0.0.2" description = "LangChain text splitting utilities" optional = false -python-versions = ">=3.8.1,<4.0" +python-versions = "<4.0,>=3.8.1" files = [ - {file = "langchain_text_splitters-0.0.1-py3-none-any.whl", hash = "sha256:f5b802f873f5ff6a8b9259ff34d53ed989666ef4e1582e6d1adb3b5520e3839a"}, - {file = "langchain_text_splitters-0.0.1.tar.gz", hash = "sha256:ac459fa98799f5117ad5425a9330b21961321e30bc19a2a2f9f761ddadd62aa1"}, + {file = "langchain_text_splitters-0.0.2-py3-none-any.whl", hash = "sha256:13887f32705862c1e1454213cb7834a63aae57c26fcd80346703a1d09c46168d"}, + {file = "langchain_text_splitters-0.0.2.tar.gz", hash = "sha256:ac8927dc0ba08eba702f6961c9ed7df7cead8de19a9f7101ab2b5ea34201b3c1"}, ] [package.dependencies] -langchain-core = ">=0.1.28,<0.2.0" +langchain-core = ">=0.1.28,<0.3" [package.extras] -extended-testing = ["lxml (>=5.1.0,<6.0.0)"] +extended-testing = ["beautifulsoup4 (>=4.12.3,<5.0.0)", "lxml (>=4.9.3,<6.0)"] [[package]] name = "langchainhub" @@ -3879,26 +4261,12 @@ files = [ requests = ">=2,<3" types-requests = ">=2.31.0.2,<3.0.0.0" -[[package]] -name = "langdetect" -version = "1.0.9" -description = "Language detection library ported from Google's language-detection." -optional = false -python-versions = "*" -files = [ - {file = "langdetect-1.0.9-py2-none-any.whl", hash = "sha256:7cbc0746252f19e76f77c0b1690aadf01963be835ef0cd4b56dddf2a8f1dfc2a"}, - {file = "langdetect-1.0.9.tar.gz", hash = "sha256:cbc1fef89f8d062739774bd51eda3da3274006b3661d199c2655f6b3f6d605a0"}, -] - -[package.dependencies] -six = "*" - [[package]] name = "langflow-base" -version = "0.0.36" +version = "0.0.47" description = "A Python package with a built-in web application" optional = false -python-versions = ">=3.10,<3.12" +python-versions = ">=3.10,<3.13" files = [] develop = true @@ -3909,7 +4277,7 @@ bcrypt = "4.0.1" cachetools = "^5.3.1" cryptography = "^42.0.5" docstring-parser = "^0.15" -duckdb = "^0.9.2" +duckdb = "^0.10.2" emoji = "^2.11.0" fastapi = "^0.110.1" gunicorn = "^22.0.0" @@ -3950,17 +4318,17 @@ url = "src/backend/base" [[package]] name = "langfuse" -version = "2.26.3" +version = "2.33.0" description = "A client library for accessing langfuse" optional = false python-versions = "<4.0,>=3.8.1" files = [ - {file = "langfuse-2.26.3-py3-none-any.whl", hash = "sha256:9d9fa0e4667d5766f4b7b853113b4b31b44e568eb93298991967192e37af67a8"}, - {file = "langfuse-2.26.3.tar.gz", hash = "sha256:53493d59a2ef4d44e7d9c06ef1d2d466828d22b77d8cacf2640357bf20019917"}, + {file = "langfuse-2.33.0-py3-none-any.whl", hash = "sha256:362e3078c5a891df0b7ba3c9ce82f046d1f0274eab3d55337e443fff526f18ad"}, + {file = "langfuse-2.33.0.tar.gz", hash = "sha256:3ca2ef8539a8f28cb80135f4b46b80d5585ce183f8e2035f318be296d09d7d88"}, ] [package.dependencies] -backoff = ">=2.2.1,<3.0.0" +backoff = ">=1.10.0" httpx = ">=0.15.4,<1.0" idna = ">=3.7,<4.0" packaging = ">=23.2,<24.0" @@ -3974,13 +4342,13 @@ openai = ["openai (>=0.27.8)"] [[package]] name = "langsmith" -version = "0.1.48" +version = "0.1.62" description = "Client library to connect to the LangSmith LLM Tracing and Evaluation Platform." optional = false python-versions = "<4.0,>=3.8.1" files = [ - {file = "langsmith-0.1.48-py3-none-any.whl", hash = "sha256:2f8967e2aaaed8881efe6f346590681243b315af8ba8a037d969c299d42071d3"}, - {file = "langsmith-0.1.48.tar.gz", hash = "sha256:9cd21cd0928123b2bd2363f03515cb1f6a833d9a9f00420240d5132861d15fcc"}, + {file = "langsmith-0.1.62-py3-none-any.whl", hash = "sha256:3a9f112643f64d736b8c875390c750fe6485804ea53aeae4edebce0afa4383a5"}, + {file = "langsmith-0.1.62.tar.gz", hash = "sha256:7ef894c14e6d4175fce88ec3bcd5a9c8cf9a456ea77e26e361f519ad082f34a8"}, ] [package.dependencies] @@ -3988,32 +4356,15 @@ orjson = ">=3.9.14,<4.0.0" pydantic = ">=1,<3" requests = ">=2,<3" -[[package]] -name = "lark" -version = "1.1.8" -description = "a modern parsing library" -optional = false -python-versions = ">=3.6" -files = [ - {file = "lark-1.1.8-py3-none-any.whl", hash = "sha256:7d2c221a66a8165f3f81aacb958d26033d40d972fdb70213ab0a2e0627e29c86"}, - {file = "lark-1.1.8.tar.gz", hash = "sha256:7ef424db57f59c1ffd6f0d4c2b705119927f566b68c0fe1942dddcc0e44391a5"}, -] - -[package.extras] -atomic-cache = ["atomicwrites"] -interegular = ["interegular (>=0.3.1,<0.4.0)"] -nearley = ["js2py"] -regex = ["regex"] - [[package]] name = "litellm" -version = "1.35.12" +version = "1.38.0" description = "Library to easily interface with LLM API providers" optional = false python-versions = "!=2.7.*,!=3.0.*,!=3.1.*,!=3.2.*,!=3.3.*,!=3.4.*,!=3.5.*,!=3.6.*,!=3.7.*,>=3.8" files = [ - {file = "litellm-1.35.12-py3-none-any.whl", hash = "sha256:df985e2ad0caa4c8b4b39ceaf41a716ed36fe5eaeed525c2528154bb957b4f14"}, - {file = "litellm-1.35.12.tar.gz", hash = "sha256:c080a1a68d0f38952d32be536981ee2b9230a50cdc08cda867b583ece1963ef5"}, + {file = "litellm-1.38.0-py3-none-any.whl", hash = "sha256:bdb63f30999a664ca7361b9c9c7f0a8e3cc10678ddf252455955fd145a96eaa5"}, + {file = "litellm-1.38.0.tar.gz", hash = "sha256:1d77a8572cd9904369393fcdf24f6557e6b01ff9b04d346c2d69c04d23485716"}, ] [package.dependencies] @@ -4021,7 +4372,7 @@ aiohttp = "*" click = "*" importlib-metadata = ">=6.8.0" jinja2 = ">=3.1.2,<4.0.0" -openai = ">=1.0.0" +openai = ">=1.27.0" python-dotenv = ">=0.2.0" requests = ">=2.31.0,<3.0.0" tiktoken = ">=0.4.0" @@ -4029,16 +4380,16 @@ tokenizers = "*" [package.extras] extra-proxy = ["azure-identity (>=1.15.0,<2.0.0)", "azure-keyvault-secrets (>=4.8.0,<5.0.0)", "google-cloud-kms (>=2.21.3,<3.0.0)", "prisma (==0.11.0)", "resend (>=0.8.0,<0.9.0)"] -proxy = ["PyJWT (>=2.8.0,<3.0.0)", "apscheduler (>=3.10.4,<4.0.0)", "backoff", "cryptography (>=42.0.5,<43.0.0)", "fastapi (>=0.109.1,<0.110.0)", "fastapi-sso (>=0.10.0,<0.11.0)", "gunicorn (>=21.2.0,<22.0.0)", "orjson (>=3.9.7,<4.0.0)", "python-multipart (>=0.0.9,<0.0.10)", "pyyaml (>=6.0.1,<7.0.0)", "rq", "uvicorn (>=0.22.0,<0.23.0)"] +proxy = ["PyJWT (>=2.8.0,<3.0.0)", "apscheduler (>=3.10.4,<4.0.0)", "backoff", "cryptography (>=42.0.5,<43.0.0)", "fastapi (>=0.111.0,<0.112.0)", "fastapi-sso (>=0.10.0,<0.11.0)", "gunicorn (>=22.0.0,<23.0.0)", "orjson (>=3.9.7,<4.0.0)", "python-multipart (>=0.0.9,<0.0.10)", "pyyaml (>=6.0.1,<7.0.0)", "rq", "uvicorn (>=0.22.0,<0.23.0)"] [[package]] name = "llama-cpp-python" -version = "0.2.62" +version = "0.2.75" description = "Python bindings for the llama.cpp library" optional = true python-versions = ">=3.8" files = [ - {file = "llama_cpp_python-0.2.62.tar.gz", hash = "sha256:f58a9d13d71d38e9c2bb5891c05200ab413f40e1543a875b7043417ec0307c27"}, + {file = "llama_cpp_python-0.2.75.tar.gz", hash = "sha256:aee9383935c42e812ee84265b1dafe5f0e3a20ee47216529b64a2ed6caaaed44"}, ] [package.dependencies] @@ -4055,19 +4406,19 @@ test = ["httpx (>=0.24.1)", "pytest (>=7.4.0)", "scipy (>=1.10)"] [[package]] name = "llama-index" -version = "0.10.30" +version = "0.10.38" description = "Interface between LLMs and your data" optional = false python-versions = "<4.0,>=3.8.1" files = [ - {file = "llama_index-0.10.30-py3-none-any.whl", hash = "sha256:7083014be8f74c6037cc33d629985a7505ee3c89b972503f8dd7d4ac7c45a4f4"}, - {file = "llama_index-0.10.30.tar.gz", hash = "sha256:58fab1047c75e39803e8c394fab7d5e81ce97f27281bf7cba6bea40a7328562e"}, + {file = "llama_index-0.10.38-py3-none-any.whl", hash = "sha256:5d521b0ea7111679521292432960d3b9fb53c98d55414bd42d753bc6271d234d"}, + {file = "llama_index-0.10.38.tar.gz", hash = "sha256:5281cfa8b6e7f0f5f12897c00adcd790f7b51c130037f3561fd5630fca37bfb3"}, ] [package.dependencies] llama-index-agent-openai = ">=0.1.4,<0.3.0" llama-index-cli = ">=0.1.2,<0.2.0" -llama-index-core = ">=0.10.30,<0.11.0" +llama-index-core = ">=0.10.38,<0.11.0" llama-index-embeddings-openai = ">=0.1.5,<0.2.0" llama-index-indices-managed-llama-cloud = ">=0.1.2,<0.2.0" llama-index-legacy = ">=0.9.48,<0.10.0" @@ -4080,17 +4431,17 @@ llama-index-readers-llama-parse = ">=0.1.2,<0.2.0" [[package]] name = "llama-index-agent-openai" -version = "0.2.2" +version = "0.2.5" description = "llama-index agent openai integration" optional = false python-versions = "<4.0,>=3.8.1" files = [ - {file = "llama_index_agent_openai-0.2.2-py3-none-any.whl", hash = "sha256:fa8cbc2c7be5a465848f8d5b432db01c55f07dfa06357edb7fb77fb17d534d1e"}, - {file = "llama_index_agent_openai-0.2.2.tar.gz", hash = "sha256:12063dd932c74015796f973986cc52d783f51fda38e4ead72a56d0fd195925ee"}, + {file = "llama_index_agent_openai-0.2.5-py3-none-any.whl", hash = "sha256:67536bb104b24734f79324207034d948a2ca7e4cc20dd60cf05d6eeb4b12a586"}, + {file = "llama_index_agent_openai-0.2.5.tar.gz", hash = "sha256:45f4cc670d037a8a67f541d3a4d095f7f61caff6ed2c25702441eb1116d4b495"}, ] [package.dependencies] -llama-index-core = ">=0.10.1,<0.11.0" +llama-index-core = ">=0.10.35,<0.11.0" llama-index-llms-openai = ">=0.1.5,<0.2.0" openai = ">=1.14.0" @@ -4112,13 +4463,13 @@ llama-index-llms-openai = ">=0.1.1,<0.2.0" [[package]] name = "llama-index-core" -version = "0.10.30" +version = "0.10.38.post2" description = "Interface between LLMs and your data" optional = false python-versions = "<4.0,>=3.8.1" files = [ - {file = "llama_index_core-0.10.30-py3-none-any.whl", hash = "sha256:2f291ce2975f9dbf0ea87d684d3d8122ce216265f468f32baa2cf4ecfb34ed2a"}, - {file = "llama_index_core-0.10.30.tar.gz", hash = "sha256:bed3f683606a0b0eb0839677c935a4b57b7bae509a95d380e51c6225630660e0"}, + {file = "llama_index_core-0.10.38.post2-py3-none-any.whl", hash = "sha256:b4b55449bac458d339e84d8d26f322b4dc9f36d3682ebb41fccf5594c295620f"}, + {file = "llama_index_core-0.10.38.post2.tar.gz", hash = "sha256:9eff6e16e9045deca9cb58bcf2a4b9ba39d0da12d7493e6aebaa5badd3b3ebb5"}, ] [package.dependencies] @@ -4146,23 +4497,15 @@ typing-extensions = ">=4.5.0" typing-inspect = ">=0.8.0" wrapt = "*" -[package.extras] -gradientai = ["gradientai (>=1.4.0)"] -html = ["beautifulsoup4 (>=4.12.2,<5.0.0)"] -langchain = ["langchain (>=0.0.303)"] -local-models = ["optimum[onnxruntime] (>=1.13.2,<2.0.0)", "sentencepiece (>=0.1.99,<0.2.0)", "transformers[torch] (>=4.33.1,<5.0.0)"] -postgres = ["asyncpg (>=0.29.0,<0.30.0)", "pgvector (>=0.2.4,<0.3.0)", "psycopg2-binary (>=2.9.9,<3.0.0)"] -query-tools = ["guidance (>=0.0.64,<0.0.65)", "jsonpath-ng (>=1.6.0,<2.0.0)", "lm-format-enforcer (>=0.4.3,<0.5.0)", "rank-bm25 (>=0.2.2,<0.3.0)", "scikit-learn", "spacy (>=3.7.1,<4.0.0)"] - [[package]] name = "llama-index-embeddings-openai" -version = "0.1.7" +version = "0.1.10" description = "llama-index embeddings openai integration" optional = false -python-versions = ">=3.8.1,<4.0" +python-versions = "<4.0,>=3.8.1" files = [ - {file = "llama_index_embeddings_openai-0.1.7-py3-none-any.whl", hash = "sha256:6023925ed1487b0688323d21711efbf8880e82ed3b87ef413255c3dc63a2f2fe"}, - {file = "llama_index_embeddings_openai-0.1.7.tar.gz", hash = "sha256:c71cc9820680c4cedfc9845dc87b94f6851d1ccce1e486fc91298f8fa8d9f27d"}, + {file = "llama_index_embeddings_openai-0.1.10-py3-none-any.whl", hash = "sha256:c3cfa83b537ded34d035fc172a945dd444c87fb58a89b02dfbf785b675f9f681"}, + {file = "llama_index_embeddings_openai-0.1.10.tar.gz", hash = "sha256:1bc1fc9b46773a12870c5d3097d3735d7ca33805f12462a8e35ae8a6e5ce1cf6"}, ] [package.dependencies] @@ -4170,18 +4513,18 @@ llama-index-core = ">=0.10.1,<0.11.0" [[package]] name = "llama-index-indices-managed-llama-cloud" -version = "0.1.5" +version = "0.1.6" description = "llama-index indices llama-cloud integration" optional = false python-versions = "<4.0,>=3.8.1" files = [ - {file = "llama_index_indices_managed_llama_cloud-0.1.5-py3-none-any.whl", hash = "sha256:79f636cb6f4fabb12fec153564110f7f4dfda3cacb087793a5fec988484d7d2c"}, - {file = "llama_index_indices_managed_llama_cloud-0.1.5.tar.gz", hash = "sha256:47cdde9f06bbddd508f0efcf41de425e85171ac2c8fda8a5fb2a89673e1c8c71"}, + {file = "llama_index_indices_managed_llama_cloud-0.1.6-py3-none-any.whl", hash = "sha256:cba33e1a3677b2a2ae7f239119acbf6dc3818f105edc92315729842b56fbc949"}, + {file = "llama_index_indices_managed_llama_cloud-0.1.6.tar.gz", hash = "sha256:74b3b0e9ebf9d348d3054f9fc0c657031acceb9351c31116ad8d5a7ae4729f5c"}, ] [package.dependencies] llama-index-core = ">=0.10.0,<0.11.0" -llamaindex-py-client = ">=0.1.13,<0.2.0" +llamaindex-py-client = ">=0.1.19,<0.2.0" [[package]] name = "llama-index-legacy" @@ -4224,13 +4567,13 @@ query-tools = ["guidance (>=0.0.64,<0.0.65)", "jsonpath-ng (>=1.6.0,<2.0.0)", "l [[package]] name = "llama-index-llms-openai" -version = "0.1.15" +version = "0.1.20" description = "llama-index llms openai integration" optional = false python-versions = "<4.0,>=3.8.1" files = [ - {file = "llama_index_llms_openai-0.1.15-py3-none-any.whl", hash = "sha256:401ba9db1549e4287b73749dee57b11db1e0ffa814bb1464475aea1ff84442c7"}, - {file = "llama_index_llms_openai-0.1.15.tar.gz", hash = "sha256:6bdbf307b1d43a9a7c2a52f72ba7db61cb96d904f99e7ea5d889dd7818f10814"}, + {file = "llama_index_llms_openai-0.1.20-py3-none-any.whl", hash = "sha256:f27401acdf9f65bf4d866a100615dcbd81987b890ae5fa9c513d544ba6d711e7"}, + {file = "llama_index_llms_openai-0.1.20.tar.gz", hash = "sha256:0282e4e252893487afd72383b46da5b28ddcd3fb73bace1caefce8a36e9cf492"}, ] [package.dependencies] @@ -4238,13 +4581,13 @@ llama-index-core = ">=0.10.24,<0.11.0" [[package]] name = "llama-index-multi-modal-llms-openai" -version = "0.1.5" +version = "0.1.6" description = "llama-index multi-modal-llms openai integration" optional = false python-versions = "<4.0,>=3.8.1" files = [ - {file = "llama_index_multi_modal_llms_openai-0.1.5-py3-none-any.whl", hash = "sha256:bb332580e7e4b5f2f87488b3649d2ceb53ee82c848e59694578a982c3982ce0b"}, - {file = "llama_index_multi_modal_llms_openai-0.1.5.tar.gz", hash = "sha256:9a237f4f886d1e20c27e9493e80b3e1f8753859481ff1b58fe25b7aa39b198a2"}, + {file = "llama_index_multi_modal_llms_openai-0.1.6-py3-none-any.whl", hash = "sha256:0b6950a6cf98d16ade7d3b9dd0821ecfe457ca103819ae6c3e66cfc9634ca646"}, + {file = "llama_index_multi_modal_llms_openai-0.1.6.tar.gz", hash = "sha256:10de75a877a444af35306385faad9b9f0624391e55309970564114a080a0578c"}, ] [package.dependencies] @@ -4253,13 +4596,13 @@ llama-index-llms-openai = ">=0.1.1,<0.2.0" [[package]] name = "llama-index-program-openai" -version = "0.1.5" +version = "0.1.6" description = "llama-index program openai integration" optional = false python-versions = "<4.0,>=3.8.1" files = [ - {file = "llama_index_program_openai-0.1.5-py3-none-any.whl", hash = "sha256:20b6efa706ac73e4dc5086900fea1ffcb1eb0787c8a6f081669d37da7235aee0"}, - {file = "llama_index_program_openai-0.1.5.tar.gz", hash = "sha256:c33aa2d2876ad0ff1f9a2a755d4e7d4917240847d0174e7b2d0b8474499bb700"}, + {file = "llama_index_program_openai-0.1.6-py3-none-any.whl", hash = "sha256:4660b338503537c5edca1e0dab606af6ce372b4f1b597e2833c6b602447c5d8d"}, + {file = "llama_index_program_openai-0.1.6.tar.gz", hash = "sha256:c6a4980c5ea826088b28b4dee3367edb20221e6d05eb0e05019049190131d772"}, ] [package.dependencies] @@ -4285,13 +4628,13 @@ llama-index-program-openai = ">=0.1.1,<0.2.0" [[package]] name = "llama-index-readers-file" -version = "0.1.19" +version = "0.1.22" description = "llama-index readers file integration" optional = false python-versions = "<4.0,>=3.8.1" files = [ - {file = "llama_index_readers_file-0.1.19-py3-none-any.whl", hash = "sha256:25eb6d066dc38753de435e876ef8511c68d84102302c053b7dcb0776db68fced"}, - {file = "llama_index_readers_file-0.1.19.tar.gz", hash = "sha256:194c1b9b85c265159b7302c7d80adba937aab06f05c170af7fd95c4e7a8aec35"}, + {file = "llama_index_readers_file-0.1.22-py3-none-any.whl", hash = "sha256:a8d4a69a9ea659c14ebb22ca9a5560b9c7ec6f501e7f68f6c52f591374165376"}, + {file = "llama_index_readers_file-0.1.22.tar.gz", hash = "sha256:37de54ad0cfbdc607c195532b9a292417a4714f57773570b87027b8dc381f0e2"}, ] [package.dependencies] @@ -4320,13 +4663,13 @@ llama-parse = ">=0.4.0,<0.5.0" [[package]] name = "llama-parse" -version = "0.4.1" +version = "0.4.3" description = "Parse files into RAG-Optimized formats." optional = false python-versions = "<4.0,>=3.8.1" files = [ - {file = "llama_parse-0.4.1-py3-none-any.whl", hash = "sha256:2c08962b66791c61fc360ae2042f953729c7b8decc3590d01fea5a98ca1f6676"}, - {file = "llama_parse-0.4.1.tar.gz", hash = "sha256:d723af84d6a1fc99eb431915d21865d20b76d8a246dbaa124d1f96c956a644f7"}, + {file = "llama_parse-0.4.3-py3-none-any.whl", hash = "sha256:c48c53a3080daeede293df620dddb1f381e084c31ee2dd44dce3f8615df723e8"}, + {file = "llama_parse-0.4.3.tar.gz", hash = "sha256:01836147b5238873b24a7dd41c5ab942b01b09b92d75570f30cf2861c084a0eb"}, ] [package.dependencies] @@ -4334,13 +4677,13 @@ llama-index-core = ">=0.10.29" [[package]] name = "llamaindex-py-client" -version = "0.1.18" +version = "0.1.19" description = "" optional = false python-versions = "<4,>=3.8" files = [ - {file = "llamaindex_py_client-0.1.18-py3-none-any.whl", hash = "sha256:5417e41666504a77ecf5bdd9b403ffff1d714880ee30d49e234fb7686177eeeb"}, - {file = "llamaindex_py_client-0.1.18.tar.gz", hash = "sha256:091ee49a92592e3894777ade12516c2137093f9d6441a549f406461917ce9b7e"}, + {file = "llamaindex_py_client-0.1.19-py3-none-any.whl", hash = "sha256:fd9416fd78b97209bf323bc3c7fab314499778563e7274f10853ad560563d10e"}, + {file = "llamaindex_py_client-0.1.19.tar.gz", hash = "sha256:73f74792bb8c092bae6dc626627a09ac13a099fa8d10f8fcc83e17a2b332cca7"}, ] [package.dependencies] @@ -4349,13 +4692,13 @@ pydantic = ">=1.10" [[package]] name = "locust" -version = "2.25.0" -description = "Developer friendly load testing framework" +version = "2.28.0" +description = "Developer-friendly load testing framework" optional = false -python-versions = ">=3.8" +python-versions = ">=3.9" files = [ - {file = "locust-2.25.0-py3-none-any.whl", hash = "sha256:35ee14d0a2b91d0d644150d0b628ce4569b0e1fec1c33c55040fa26cc693d085"}, - {file = "locust-2.25.0.tar.gz", hash = "sha256:45bc88b3097f0346a46514f99ebf8d8a86f07325366da0b9dc2c3f207499dbc6"}, + {file = "locust-2.28.0-py3-none-any.whl", hash = "sha256:766be879db030c0118e7d9fca712f3538c4e628bdebf59468fa1c6c2fab217d3"}, + {file = "locust-2.28.0.tar.gz", hash = "sha256:260557eec866f7e34a767b6c916b5b278167562a280480aadb88f43d962fbdeb"}, ] [package.dependencies] @@ -4364,13 +4707,12 @@ flask = ">=2.0.0" Flask-Cors = ">=3.0.10" Flask-Login = ">=0.6.3" gevent = ">=22.10.2" -geventhttpclient = ">=2.0.11" +geventhttpclient = ">=2.3.1" msgpack = ">=1.0.0" psutil = ">=5.9.1" pywin32 = {version = "*", markers = "platform_system == \"Windows\""} pyzmq = ">=25.0.0" requests = ">=2.26.0" -roundrobin = ">=0.0.2" tomli = {version = ">=1.1.0", markers = "python_version < \"3.11\""} Werkzeug = ">=2.0.0" @@ -4394,165 +4736,153 @@ dev = ["Sphinx (==7.2.5)", "colorama (==0.4.5)", "colorama (==0.4.6)", "exceptio [[package]] name = "lxml" -version = "5.2.1" +version = "5.2.2" description = "Powerful and Pythonic XML processing library combining libxml2/libxslt with the ElementTree API." optional = false python-versions = ">=3.6" files = [ - {file = "lxml-5.2.1-cp310-cp310-macosx_10_9_universal2.whl", hash = "sha256:1f7785f4f789fdb522729ae465adcaa099e2a3441519df750ebdccc481d961a1"}, - {file = "lxml-5.2.1-cp310-cp310-macosx_10_9_x86_64.whl", hash = "sha256:6cc6ee342fb7fa2471bd9b6d6fdfc78925a697bf5c2bcd0a302e98b0d35bfad3"}, - {file = "lxml-5.2.1-cp310-cp310-manylinux_2_12_i686.manylinux2010_i686.manylinux_2_17_i686.manylinux2014_i686.whl", hash = "sha256:794f04eec78f1d0e35d9e0c36cbbb22e42d370dda1609fb03bcd7aeb458c6377"}, - {file = "lxml-5.2.1-cp310-cp310-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:c817d420c60a5183953c783b0547d9eb43b7b344a2c46f69513d5952a78cddf3"}, - {file = "lxml-5.2.1-cp310-cp310-manylinux_2_17_ppc64le.manylinux2014_ppc64le.whl", hash = "sha256:2213afee476546a7f37c7a9b4ad4d74b1e112a6fafffc9185d6d21f043128c81"}, - {file = "lxml-5.2.1-cp310-cp310-manylinux_2_17_s390x.manylinux2014_s390x.whl", hash = "sha256:b070bbe8d3f0f6147689bed981d19bbb33070225373338df755a46893528104a"}, - {file = "lxml-5.2.1-cp310-cp310-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:e02c5175f63effbd7c5e590399c118d5db6183bbfe8e0d118bdb5c2d1b48d937"}, - {file = "lxml-5.2.1-cp310-cp310-manylinux_2_28_aarch64.whl", hash = "sha256:3dc773b2861b37b41a6136e0b72a1a44689a9c4c101e0cddb6b854016acc0aa8"}, - {file = "lxml-5.2.1-cp310-cp310-manylinux_2_28_ppc64le.whl", hash = "sha256:d7520db34088c96cc0e0a3ad51a4fd5b401f279ee112aa2b7f8f976d8582606d"}, - {file = "lxml-5.2.1-cp310-cp310-manylinux_2_28_s390x.whl", hash = "sha256:bcbf4af004f98793a95355980764b3d80d47117678118a44a80b721c9913436a"}, - {file = "lxml-5.2.1-cp310-cp310-manylinux_2_28_x86_64.whl", hash = "sha256:a2b44bec7adf3e9305ce6cbfa47a4395667e744097faed97abb4728748ba7d47"}, - {file = "lxml-5.2.1-cp310-cp310-musllinux_1_1_aarch64.whl", hash = "sha256:1c5bb205e9212d0ebddf946bc07e73fa245c864a5f90f341d11ce7b0b854475d"}, - {file = "lxml-5.2.1-cp310-cp310-musllinux_1_1_ppc64le.whl", hash = "sha256:2c9d147f754b1b0e723e6afb7ba1566ecb162fe4ea657f53d2139bbf894d050a"}, - {file = "lxml-5.2.1-cp310-cp310-musllinux_1_1_s390x.whl", hash = "sha256:3545039fa4779be2df51d6395e91a810f57122290864918b172d5dc7ca5bb433"}, - {file = "lxml-5.2.1-cp310-cp310-musllinux_1_1_x86_64.whl", hash = "sha256:a91481dbcddf1736c98a80b122afa0f7296eeb80b72344d7f45dc9f781551f56"}, - {file = "lxml-5.2.1-cp310-cp310-musllinux_1_2_aarch64.whl", hash = "sha256:2ddfe41ddc81f29a4c44c8ce239eda5ade4e7fc305fb7311759dd6229a080052"}, - {file = "lxml-5.2.1-cp310-cp310-musllinux_1_2_ppc64le.whl", hash = "sha256:a7baf9ffc238e4bf401299f50e971a45bfcc10a785522541a6e3179c83eabf0a"}, - {file = "lxml-5.2.1-cp310-cp310-musllinux_1_2_s390x.whl", hash = "sha256:31e9a882013c2f6bd2f2c974241bf4ba68c85eba943648ce88936d23209a2e01"}, - {file = "lxml-5.2.1-cp310-cp310-musllinux_1_2_x86_64.whl", hash = "sha256:0a15438253b34e6362b2dc41475e7f80de76320f335e70c5528b7148cac253a1"}, - {file = "lxml-5.2.1-cp310-cp310-win32.whl", hash = "sha256:6992030d43b916407c9aa52e9673612ff39a575523c5f4cf72cdef75365709a5"}, - {file = "lxml-5.2.1-cp310-cp310-win_amd64.whl", hash = "sha256:da052e7962ea2d5e5ef5bc0355d55007407087392cf465b7ad84ce5f3e25fe0f"}, - {file = "lxml-5.2.1-cp311-cp311-macosx_10_9_universal2.whl", hash = "sha256:70ac664a48aa64e5e635ae5566f5227f2ab7f66a3990d67566d9907edcbbf867"}, - {file = "lxml-5.2.1-cp311-cp311-macosx_10_9_x86_64.whl", hash = "sha256:1ae67b4e737cddc96c99461d2f75d218bdf7a0c3d3ad5604d1f5e7464a2f9ffe"}, - {file = "lxml-5.2.1-cp311-cp311-manylinux_2_12_i686.manylinux2010_i686.manylinux_2_17_i686.manylinux2014_i686.whl", hash = "sha256:f18a5a84e16886898e51ab4b1d43acb3083c39b14c8caeb3589aabff0ee0b270"}, - {file = "lxml-5.2.1-cp311-cp311-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:c6f2c8372b98208ce609c9e1d707f6918cc118fea4e2c754c9f0812c04ca116d"}, - {file = "lxml-5.2.1-cp311-cp311-manylinux_2_17_ppc64le.manylinux2014_ppc64le.whl", hash = "sha256:394ed3924d7a01b5bd9a0d9d946136e1c2f7b3dc337196d99e61740ed4bc6fe1"}, - {file = "lxml-5.2.1-cp311-cp311-manylinux_2_17_s390x.manylinux2014_s390x.whl", hash = "sha256:5d077bc40a1fe984e1a9931e801e42959a1e6598edc8a3223b061d30fbd26bbc"}, - {file = "lxml-5.2.1-cp311-cp311-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:764b521b75701f60683500d8621841bec41a65eb739b8466000c6fdbc256c240"}, - {file = "lxml-5.2.1-cp311-cp311-manylinux_2_28_aarch64.whl", hash = "sha256:3a6b45da02336895da82b9d472cd274b22dc27a5cea1d4b793874eead23dd14f"}, - {file = "lxml-5.2.1-cp311-cp311-manylinux_2_28_ppc64le.whl", hash = "sha256:5ea7b6766ac2dfe4bcac8b8595107665a18ef01f8c8343f00710b85096d1b53a"}, - {file = "lxml-5.2.1-cp311-cp311-manylinux_2_28_s390x.whl", hash = "sha256:e196a4ff48310ba62e53a8e0f97ca2bca83cdd2fe2934d8b5cb0df0a841b193a"}, - {file = "lxml-5.2.1-cp311-cp311-manylinux_2_28_x86_64.whl", hash = "sha256:200e63525948e325d6a13a76ba2911f927ad399ef64f57898cf7c74e69b71095"}, - {file = "lxml-5.2.1-cp311-cp311-musllinux_1_1_aarch64.whl", hash = "sha256:dae0ed02f6b075426accbf6b2863c3d0a7eacc1b41fb40f2251d931e50188dad"}, - {file = "lxml-5.2.1-cp311-cp311-musllinux_1_1_ppc64le.whl", hash = "sha256:ab31a88a651039a07a3ae327d68ebdd8bc589b16938c09ef3f32a4b809dc96ef"}, - {file = "lxml-5.2.1-cp311-cp311-musllinux_1_1_s390x.whl", hash = "sha256:df2e6f546c4df14bc81f9498bbc007fbb87669f1bb707c6138878c46b06f6510"}, - {file = "lxml-5.2.1-cp311-cp311-musllinux_1_1_x86_64.whl", hash = "sha256:5dd1537e7cc06efd81371f5d1a992bd5ab156b2b4f88834ca852de4a8ea523fa"}, - {file = "lxml-5.2.1-cp311-cp311-musllinux_1_2_aarch64.whl", hash = "sha256:9b9ec9c9978b708d488bec36b9e4c94d88fd12ccac3e62134a9d17ddba910ea9"}, - {file = "lxml-5.2.1-cp311-cp311-musllinux_1_2_ppc64le.whl", hash = "sha256:8e77c69d5892cb5ba71703c4057091e31ccf534bd7f129307a4d084d90d014b8"}, - {file = "lxml-5.2.1-cp311-cp311-musllinux_1_2_s390x.whl", hash = "sha256:a8d5c70e04aac1eda5c829a26d1f75c6e5286c74743133d9f742cda8e53b9c2f"}, - {file = "lxml-5.2.1-cp311-cp311-musllinux_1_2_x86_64.whl", hash = "sha256:c94e75445b00319c1fad60f3c98b09cd63fe1134a8a953dcd48989ef42318534"}, - {file = "lxml-5.2.1-cp311-cp311-win32.whl", hash = "sha256:4951e4f7a5680a2db62f7f4ab2f84617674d36d2d76a729b9a8be4b59b3659be"}, - {file = "lxml-5.2.1-cp311-cp311-win_amd64.whl", hash = "sha256:5c670c0406bdc845b474b680b9a5456c561c65cf366f8db5a60154088c92d102"}, - {file = "lxml-5.2.1-cp312-cp312-macosx_10_9_universal2.whl", hash = "sha256:abc25c3cab9ec7fcd299b9bcb3b8d4a1231877e425c650fa1c7576c5107ab851"}, - {file = "lxml-5.2.1-cp312-cp312-macosx_10_9_x86_64.whl", hash = "sha256:6935bbf153f9a965f1e07c2649c0849d29832487c52bb4a5c5066031d8b44fd5"}, - {file = "lxml-5.2.1-cp312-cp312-manylinux_2_12_i686.manylinux2010_i686.manylinux_2_17_i686.manylinux2014_i686.whl", hash = "sha256:d793bebb202a6000390a5390078e945bbb49855c29c7e4d56a85901326c3b5d9"}, - {file = "lxml-5.2.1-cp312-cp312-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:afd5562927cdef7c4f5550374acbc117fd4ecc05b5007bdfa57cc5355864e0a4"}, - {file = "lxml-5.2.1-cp312-cp312-manylinux_2_17_ppc64le.manylinux2014_ppc64le.whl", hash = "sha256:0e7259016bc4345a31af861fdce942b77c99049d6c2107ca07dc2bba2435c1d9"}, - {file = "lxml-5.2.1-cp312-cp312-manylinux_2_17_s390x.manylinux2014_s390x.whl", hash = "sha256:530e7c04f72002d2f334d5257c8a51bf409db0316feee7c87e4385043be136af"}, - {file = "lxml-5.2.1-cp312-cp312-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:59689a75ba8d7ffca577aefd017d08d659d86ad4585ccc73e43edbfc7476781a"}, - {file = "lxml-5.2.1-cp312-cp312-manylinux_2_28_aarch64.whl", hash = "sha256:f9737bf36262046213a28e789cc82d82c6ef19c85a0cf05e75c670a33342ac2c"}, - {file = "lxml-5.2.1-cp312-cp312-manylinux_2_28_ppc64le.whl", hash = "sha256:3a74c4f27167cb95c1d4af1c0b59e88b7f3e0182138db2501c353555f7ec57f4"}, - {file = "lxml-5.2.1-cp312-cp312-manylinux_2_28_s390x.whl", hash = "sha256:68a2610dbe138fa8c5826b3f6d98a7cfc29707b850ddcc3e21910a6fe51f6ca0"}, - {file = "lxml-5.2.1-cp312-cp312-manylinux_2_28_x86_64.whl", hash = "sha256:f0a1bc63a465b6d72569a9bba9f2ef0334c4e03958e043da1920299100bc7c08"}, - {file = "lxml-5.2.1-cp312-cp312-musllinux_1_1_aarch64.whl", hash = "sha256:c2d35a1d047efd68027817b32ab1586c1169e60ca02c65d428ae815b593e65d4"}, - {file = "lxml-5.2.1-cp312-cp312-musllinux_1_1_ppc64le.whl", hash = "sha256:79bd05260359170f78b181b59ce871673ed01ba048deef4bf49a36ab3e72e80b"}, - {file = "lxml-5.2.1-cp312-cp312-musllinux_1_1_s390x.whl", hash = "sha256:865bad62df277c04beed9478fe665b9ef63eb28fe026d5dedcb89b537d2e2ea6"}, - {file = "lxml-5.2.1-cp312-cp312-musllinux_1_1_x86_64.whl", hash = "sha256:44f6c7caff88d988db017b9b0e4ab04934f11e3e72d478031efc7edcac6c622f"}, - {file = "lxml-5.2.1-cp312-cp312-musllinux_1_2_aarch64.whl", hash = "sha256:71e97313406ccf55d32cc98a533ee05c61e15d11b99215b237346171c179c0b0"}, - {file = "lxml-5.2.1-cp312-cp312-musllinux_1_2_ppc64le.whl", hash = "sha256:057cdc6b86ab732cf361f8b4d8af87cf195a1f6dc5b0ff3de2dced242c2015e0"}, - {file = "lxml-5.2.1-cp312-cp312-musllinux_1_2_s390x.whl", hash = "sha256:f3bbbc998d42f8e561f347e798b85513ba4da324c2b3f9b7969e9c45b10f6169"}, - {file = "lxml-5.2.1-cp312-cp312-musllinux_1_2_x86_64.whl", hash = "sha256:491755202eb21a5e350dae00c6d9a17247769c64dcf62d8c788b5c135e179dc4"}, - {file = "lxml-5.2.1-cp312-cp312-win32.whl", hash = "sha256:8de8f9d6caa7f25b204fc861718815d41cbcf27ee8f028c89c882a0cf4ae4134"}, - {file = "lxml-5.2.1-cp312-cp312-win_amd64.whl", hash = "sha256:f2a9efc53d5b714b8df2b4b3e992accf8ce5bbdfe544d74d5c6766c9e1146a3a"}, - {file = "lxml-5.2.1-cp36-cp36m-macosx_10_9_x86_64.whl", hash = "sha256:70a9768e1b9d79edca17890175ba915654ee1725975d69ab64813dd785a2bd5c"}, - {file = "lxml-5.2.1-cp36-cp36m-manylinux_2_12_i686.manylinux2010_i686.manylinux_2_17_i686.manylinux2014_i686.whl", hash = "sha256:c38d7b9a690b090de999835f0443d8aa93ce5f2064035dfc48f27f02b4afc3d0"}, - {file = "lxml-5.2.1-cp36-cp36m-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:5670fb70a828663cc37552a2a85bf2ac38475572b0e9b91283dc09efb52c41d1"}, - {file = "lxml-5.2.1-cp36-cp36m-manylinux_2_28_x86_64.whl", hash = "sha256:958244ad566c3ffc385f47dddde4145088a0ab893504b54b52c041987a8c1863"}, - {file = "lxml-5.2.1-cp36-cp36m-musllinux_1_1_aarch64.whl", hash = "sha256:2a66bf12fbd4666dd023b6f51223aed3d9f3b40fef06ce404cb75bafd3d89536"}, - {file = "lxml-5.2.1-cp36-cp36m-musllinux_1_1_ppc64le.whl", hash = "sha256:9123716666e25b7b71c4e1789ec829ed18663152008b58544d95b008ed9e21e9"}, - {file = "lxml-5.2.1-cp36-cp36m-musllinux_1_1_s390x.whl", hash = "sha256:0c3f67e2aeda739d1cc0b1102c9a9129f7dc83901226cc24dd72ba275ced4218"}, - {file = "lxml-5.2.1-cp36-cp36m-musllinux_1_1_x86_64.whl", hash = "sha256:5d5792e9b3fb8d16a19f46aa8208987cfeafe082363ee2745ea8b643d9cc5b45"}, - {file = "lxml-5.2.1-cp36-cp36m-musllinux_1_2_aarch64.whl", hash = "sha256:88e22fc0a6684337d25c994381ed8a1580a6f5ebebd5ad41f89f663ff4ec2885"}, - {file = "lxml-5.2.1-cp36-cp36m-musllinux_1_2_ppc64le.whl", hash = "sha256:21c2e6b09565ba5b45ae161b438e033a86ad1736b8c838c766146eff8ceffff9"}, - {file = "lxml-5.2.1-cp36-cp36m-musllinux_1_2_s390x.whl", hash = "sha256:afbbdb120d1e78d2ba8064a68058001b871154cc57787031b645c9142b937a62"}, - {file = "lxml-5.2.1-cp36-cp36m-musllinux_1_2_x86_64.whl", hash = "sha256:627402ad8dea044dde2eccde4370560a2b750ef894c9578e1d4f8ffd54000461"}, - {file = "lxml-5.2.1-cp36-cp36m-win32.whl", hash = "sha256:e89580a581bf478d8dcb97d9cd011d567768e8bc4095f8557b21c4d4c5fea7d0"}, - {file = "lxml-5.2.1-cp36-cp36m-win_amd64.whl", hash = "sha256:59565f10607c244bc4c05c0c5fa0c190c990996e0c719d05deec7030c2aa8289"}, - {file = "lxml-5.2.1-cp37-cp37m-macosx_10_9_x86_64.whl", hash = "sha256:857500f88b17a6479202ff5fe5f580fc3404922cd02ab3716197adf1ef628029"}, - {file = "lxml-5.2.1-cp37-cp37m-manylinux_2_12_i686.manylinux2010_i686.manylinux_2_17_i686.manylinux2014_i686.whl", hash = "sha256:56c22432809085b3f3ae04e6e7bdd36883d7258fcd90e53ba7b2e463efc7a6af"}, - {file = "lxml-5.2.1-cp37-cp37m-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:a55ee573116ba208932e2d1a037cc4b10d2c1cb264ced2184d00b18ce585b2c0"}, - {file = "lxml-5.2.1-cp37-cp37m-manylinux_2_28_x86_64.whl", hash = "sha256:6cf58416653c5901e12624e4013708b6e11142956e7f35e7a83f1ab02f3fe456"}, - {file = "lxml-5.2.1-cp37-cp37m-musllinux_1_1_aarch64.whl", hash = "sha256:64c2baa7774bc22dd4474248ba16fe1a7f611c13ac6123408694d4cc93d66dbd"}, - {file = "lxml-5.2.1-cp37-cp37m-musllinux_1_1_ppc64le.whl", hash = "sha256:74b28c6334cca4dd704e8004cba1955af0b778cf449142e581e404bd211fb619"}, - {file = "lxml-5.2.1-cp37-cp37m-musllinux_1_1_s390x.whl", hash = "sha256:7221d49259aa1e5a8f00d3d28b1e0b76031655ca74bb287123ef56c3db92f213"}, - {file = "lxml-5.2.1-cp37-cp37m-musllinux_1_1_x86_64.whl", hash = "sha256:3dbe858ee582cbb2c6294dc85f55b5f19c918c2597855e950f34b660f1a5ede6"}, - {file = "lxml-5.2.1-cp37-cp37m-musllinux_1_2_aarch64.whl", hash = "sha256:04ab5415bf6c86e0518d57240a96c4d1fcfc3cb370bb2ac2a732b67f579e5a04"}, - {file = "lxml-5.2.1-cp37-cp37m-musllinux_1_2_ppc64le.whl", hash = "sha256:6ab833e4735a7e5533711a6ea2df26459b96f9eec36d23f74cafe03631647c41"}, - {file = "lxml-5.2.1-cp37-cp37m-musllinux_1_2_s390x.whl", hash = "sha256:f443cdef978430887ed55112b491f670bba6462cea7a7742ff8f14b7abb98d75"}, - {file = "lxml-5.2.1-cp37-cp37m-musllinux_1_2_x86_64.whl", hash = "sha256:9e2addd2d1866fe112bc6f80117bcc6bc25191c5ed1bfbcf9f1386a884252ae8"}, - {file = "lxml-5.2.1-cp37-cp37m-win32.whl", hash = "sha256:f51969bac61441fd31f028d7b3b45962f3ecebf691a510495e5d2cd8c8092dbd"}, - {file = "lxml-5.2.1-cp37-cp37m-win_amd64.whl", hash = "sha256:b0b58fbfa1bf7367dde8a557994e3b1637294be6cf2169810375caf8571a085c"}, - {file = "lxml-5.2.1-cp38-cp38-macosx_10_9_universal2.whl", hash = "sha256:3e183c6e3298a2ed5af9d7a356ea823bccaab4ec2349dc9ed83999fd289d14d5"}, - {file = "lxml-5.2.1-cp38-cp38-macosx_10_9_x86_64.whl", hash = "sha256:804f74efe22b6a227306dd890eecc4f8c59ff25ca35f1f14e7482bbce96ef10b"}, - {file = "lxml-5.2.1-cp38-cp38-manylinux_2_12_i686.manylinux2010_i686.manylinux_2_17_i686.manylinux2014_i686.whl", hash = "sha256:08802f0c56ed150cc6885ae0788a321b73505d2263ee56dad84d200cab11c07a"}, - {file = "lxml-5.2.1-cp38-cp38-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:0f8c09ed18ecb4ebf23e02b8e7a22a05d6411911e6fabef3a36e4f371f4f2585"}, - {file = "lxml-5.2.1-cp38-cp38-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:e3d30321949861404323c50aebeb1943461a67cd51d4200ab02babc58bd06a86"}, - {file = "lxml-5.2.1-cp38-cp38-manylinux_2_28_aarch64.whl", hash = "sha256:b560e3aa4b1d49e0e6c847d72665384db35b2f5d45f8e6a5c0072e0283430533"}, - {file = "lxml-5.2.1-cp38-cp38-manylinux_2_28_x86_64.whl", hash = "sha256:058a1308914f20784c9f4674036527e7c04f7be6fb60f5d61353545aa7fcb739"}, - {file = "lxml-5.2.1-cp38-cp38-musllinux_1_1_aarch64.whl", hash = "sha256:adfb84ca6b87e06bc6b146dc7da7623395db1e31621c4785ad0658c5028b37d7"}, - {file = "lxml-5.2.1-cp38-cp38-musllinux_1_1_ppc64le.whl", hash = "sha256:417d14450f06d51f363e41cace6488519038f940676ce9664b34ebf5653433a5"}, - {file = "lxml-5.2.1-cp38-cp38-musllinux_1_1_s390x.whl", hash = "sha256:a2dfe7e2473f9b59496247aad6e23b405ddf2e12ef0765677b0081c02d6c2c0b"}, - {file = "lxml-5.2.1-cp38-cp38-musllinux_1_1_x86_64.whl", hash = "sha256:bf2e2458345d9bffb0d9ec16557d8858c9c88d2d11fed53998512504cd9df49b"}, - {file = "lxml-5.2.1-cp38-cp38-musllinux_1_2_aarch64.whl", hash = "sha256:58278b29cb89f3e43ff3e0c756abbd1518f3ee6adad9e35b51fb101c1c1daaec"}, - {file = "lxml-5.2.1-cp38-cp38-musllinux_1_2_ppc64le.whl", hash = "sha256:64641a6068a16201366476731301441ce93457eb8452056f570133a6ceb15fca"}, - {file = "lxml-5.2.1-cp38-cp38-musllinux_1_2_s390x.whl", hash = "sha256:78bfa756eab503673991bdcf464917ef7845a964903d3302c5f68417ecdc948c"}, - {file = "lxml-5.2.1-cp38-cp38-musllinux_1_2_x86_64.whl", hash = "sha256:11a04306fcba10cd9637e669fd73aa274c1c09ca64af79c041aa820ea992b637"}, - {file = "lxml-5.2.1-cp38-cp38-win32.whl", hash = "sha256:66bc5eb8a323ed9894f8fa0ee6cb3e3fb2403d99aee635078fd19a8bc7a5a5da"}, - {file = "lxml-5.2.1-cp38-cp38-win_amd64.whl", hash = "sha256:9676bfc686fa6a3fa10cd4ae6b76cae8be26eb5ec6811d2a325636c460da1806"}, - {file = "lxml-5.2.1-cp39-cp39-macosx_10_9_universal2.whl", hash = "sha256:cf22b41fdae514ee2f1691b6c3cdeae666d8b7fa9434de445f12bbeee0cf48dd"}, - {file = "lxml-5.2.1-cp39-cp39-macosx_10_9_x86_64.whl", hash = "sha256:ec42088248c596dbd61d4ae8a5b004f97a4d91a9fd286f632e42e60b706718d7"}, - {file = "lxml-5.2.1-cp39-cp39-manylinux_2_12_i686.manylinux2010_i686.manylinux_2_17_i686.manylinux2014_i686.whl", hash = "sha256:cd53553ddad4a9c2f1f022756ae64abe16da1feb497edf4d9f87f99ec7cf86bd"}, - {file = "lxml-5.2.1-cp39-cp39-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:feaa45c0eae424d3e90d78823f3828e7dc42a42f21ed420db98da2c4ecf0a2cb"}, - {file = "lxml-5.2.1-cp39-cp39-manylinux_2_17_ppc64le.manylinux2014_ppc64le.whl", hash = "sha256:ddc678fb4c7e30cf830a2b5a8d869538bc55b28d6c68544d09c7d0d8f17694dc"}, - {file = "lxml-5.2.1-cp39-cp39-manylinux_2_17_s390x.manylinux2014_s390x.whl", hash = "sha256:853e074d4931dbcba7480d4dcab23d5c56bd9607f92825ab80ee2bd916edea53"}, - {file = "lxml-5.2.1-cp39-cp39-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:cc4691d60512798304acb9207987e7b2b7c44627ea88b9d77489bbe3e6cc3bd4"}, - {file = "lxml-5.2.1-cp39-cp39-manylinux_2_28_aarch64.whl", hash = "sha256:beb72935a941965c52990f3a32d7f07ce869fe21c6af8b34bf6a277b33a345d3"}, - {file = "lxml-5.2.1-cp39-cp39-manylinux_2_28_ppc64le.whl", hash = "sha256:6588c459c5627fefa30139be4d2e28a2c2a1d0d1c265aad2ba1935a7863a4913"}, - {file = "lxml-5.2.1-cp39-cp39-manylinux_2_28_s390x.whl", hash = "sha256:588008b8497667f1ddca7c99f2f85ce8511f8f7871b4a06ceede68ab62dff64b"}, - {file = "lxml-5.2.1-cp39-cp39-manylinux_2_28_x86_64.whl", hash = "sha256:b6787b643356111dfd4032b5bffe26d2f8331556ecb79e15dacb9275da02866e"}, - {file = "lxml-5.2.1-cp39-cp39-musllinux_1_1_aarch64.whl", hash = "sha256:7c17b64b0a6ef4e5affae6a3724010a7a66bda48a62cfe0674dabd46642e8b54"}, - {file = "lxml-5.2.1-cp39-cp39-musllinux_1_1_ppc64le.whl", hash = "sha256:27aa20d45c2e0b8cd05da6d4759649170e8dfc4f4e5ef33a34d06f2d79075d57"}, - {file = "lxml-5.2.1-cp39-cp39-musllinux_1_1_s390x.whl", hash = "sha256:d4f2cc7060dc3646632d7f15fe68e2fa98f58e35dd5666cd525f3b35d3fed7f8"}, - {file = "lxml-5.2.1-cp39-cp39-musllinux_1_1_x86_64.whl", hash = "sha256:ff46d772d5f6f73564979cd77a4fffe55c916a05f3cb70e7c9c0590059fb29ef"}, - {file = "lxml-5.2.1-cp39-cp39-musllinux_1_2_aarch64.whl", hash = "sha256:96323338e6c14e958d775700ec8a88346014a85e5de73ac7967db0367582049b"}, - {file = "lxml-5.2.1-cp39-cp39-musllinux_1_2_ppc64le.whl", hash = "sha256:52421b41ac99e9d91934e4d0d0fe7da9f02bfa7536bb4431b4c05c906c8c6919"}, - {file = "lxml-5.2.1-cp39-cp39-musllinux_1_2_s390x.whl", hash = "sha256:7a7efd5b6d3e30d81ec68ab8a88252d7c7c6f13aaa875009fe3097eb4e30b84c"}, - {file = "lxml-5.2.1-cp39-cp39-musllinux_1_2_x86_64.whl", hash = "sha256:0ed777c1e8c99b63037b91f9d73a6aad20fd035d77ac84afcc205225f8f41188"}, - {file = "lxml-5.2.1-cp39-cp39-win32.whl", hash = "sha256:644df54d729ef810dcd0f7732e50e5ad1bd0a135278ed8d6bcb06f33b6b6f708"}, - {file = "lxml-5.2.1-cp39-cp39-win_amd64.whl", hash = "sha256:9ca66b8e90daca431b7ca1408cae085d025326570e57749695d6a01454790e95"}, - {file = "lxml-5.2.1-pp310-pypy310_pp73-macosx_10_9_x86_64.whl", hash = "sha256:9b0ff53900566bc6325ecde9181d89afadc59c5ffa39bddf084aaedfe3b06a11"}, - {file = "lxml-5.2.1-pp310-pypy310_pp73-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:fd6037392f2d57793ab98d9e26798f44b8b4da2f2464388588f48ac52c489ea1"}, - {file = "lxml-5.2.1-pp310-pypy310_pp73-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:8b9c07e7a45bb64e21df4b6aa623cb8ba214dfb47d2027d90eac197329bb5e94"}, - {file = "lxml-5.2.1-pp310-pypy310_pp73-manylinux_2_28_aarch64.whl", hash = "sha256:3249cc2989d9090eeac5467e50e9ec2d40704fea9ab72f36b034ea34ee65ca98"}, - {file = "lxml-5.2.1-pp310-pypy310_pp73-manylinux_2_28_x86_64.whl", hash = "sha256:f42038016852ae51b4088b2862126535cc4fc85802bfe30dea3500fdfaf1864e"}, - {file = "lxml-5.2.1-pp310-pypy310_pp73-win_amd64.whl", hash = "sha256:533658f8fbf056b70e434dff7e7aa611bcacb33e01f75de7f821810e48d1bb66"}, - {file = "lxml-5.2.1-pp37-pypy37_pp73-macosx_10_9_x86_64.whl", hash = "sha256:622020d4521e22fb371e15f580d153134bfb68d6a429d1342a25f051ec72df1c"}, - {file = "lxml-5.2.1-pp37-pypy37_pp73-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:efa7b51824aa0ee957ccd5a741c73e6851de55f40d807f08069eb4c5a26b2baa"}, - {file = "lxml-5.2.1-pp37-pypy37_pp73-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:9c6ad0fbf105f6bcc9300c00010a2ffa44ea6f555df1a2ad95c88f5656104817"}, - {file = "lxml-5.2.1-pp37-pypy37_pp73-manylinux_2_28_aarch64.whl", hash = "sha256:e233db59c8f76630c512ab4a4daf5a5986da5c3d5b44b8e9fc742f2a24dbd460"}, - {file = "lxml-5.2.1-pp37-pypy37_pp73-manylinux_2_28_x86_64.whl", hash = "sha256:6a014510830df1475176466b6087fc0c08b47a36714823e58d8b8d7709132a96"}, - {file = "lxml-5.2.1-pp37-pypy37_pp73-win_amd64.whl", hash = "sha256:d38c8f50ecf57f0463399569aa388b232cf1a2ffb8f0a9a5412d0db57e054860"}, - {file = "lxml-5.2.1-pp38-pypy38_pp73-macosx_10_9_x86_64.whl", hash = "sha256:5aea8212fb823e006b995c4dda533edcf98a893d941f173f6c9506126188860d"}, - {file = "lxml-5.2.1-pp38-pypy38_pp73-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:ff097ae562e637409b429a7ac958a20aab237a0378c42dabaa1e3abf2f896e5f"}, - {file = "lxml-5.2.1-pp38-pypy38_pp73-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:0f5d65c39f16717a47c36c756af0fb36144069c4718824b7533f803ecdf91138"}, - {file = "lxml-5.2.1-pp38-pypy38_pp73-manylinux_2_28_aarch64.whl", hash = "sha256:3d0c3dd24bb4605439bf91068598d00c6370684f8de4a67c2992683f6c309d6b"}, - {file = "lxml-5.2.1-pp38-pypy38_pp73-manylinux_2_28_x86_64.whl", hash = "sha256:e32be23d538753a8adb6c85bd539f5fd3b15cb987404327c569dfc5fd8366e85"}, - {file = "lxml-5.2.1-pp38-pypy38_pp73-win_amd64.whl", hash = "sha256:cc518cea79fd1e2f6c90baafa28906d4309d24f3a63e801d855e7424c5b34144"}, - {file = "lxml-5.2.1-pp39-pypy39_pp73-macosx_10_9_x86_64.whl", hash = "sha256:a0af35bd8ebf84888373630f73f24e86bf016642fb8576fba49d3d6b560b7cbc"}, - {file = "lxml-5.2.1-pp39-pypy39_pp73-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:f8aca2e3a72f37bfc7b14ba96d4056244001ddcc18382bd0daa087fd2e68a354"}, - {file = "lxml-5.2.1-pp39-pypy39_pp73-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:5ca1e8188b26a819387b29c3895c47a5e618708fe6f787f3b1a471de2c4a94d9"}, - {file = "lxml-5.2.1-pp39-pypy39_pp73-manylinux_2_28_aarch64.whl", hash = "sha256:c8ba129e6d3b0136a0f50345b2cb3db53f6bda5dd8c7f5d83fbccba97fb5dcb5"}, - {file = "lxml-5.2.1-pp39-pypy39_pp73-manylinux_2_28_x86_64.whl", hash = "sha256:e998e304036198b4f6914e6a1e2b6f925208a20e2042563d9734881150c6c246"}, - {file = "lxml-5.2.1-pp39-pypy39_pp73-win_amd64.whl", hash = "sha256:d3be9b2076112e51b323bdf6d5a7f8a798de55fb8d95fcb64bd179460cdc0704"}, - {file = "lxml-5.2.1.tar.gz", hash = "sha256:3f7765e69bbce0906a7c74d5fe46d2c7a7596147318dbc08e4a2431f3060e306"}, + {file = "lxml-5.2.2-cp310-cp310-macosx_10_9_universal2.whl", hash = "sha256:364d03207f3e603922d0d3932ef363d55bbf48e3647395765f9bfcbdf6d23632"}, + {file = "lxml-5.2.2-cp310-cp310-macosx_10_9_x86_64.whl", hash = "sha256:50127c186f191b8917ea2fb8b206fbebe87fd414a6084d15568c27d0a21d60db"}, + {file = "lxml-5.2.2-cp310-cp310-manylinux_2_12_i686.manylinux2010_i686.manylinux_2_17_i686.manylinux2014_i686.whl", hash = "sha256:74e4f025ef3db1c6da4460dd27c118d8cd136d0391da4e387a15e48e5c975147"}, + {file = "lxml-5.2.2-cp310-cp310-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:981a06a3076997adf7c743dcd0d7a0415582661e2517c7d961493572e909aa1d"}, + {file = "lxml-5.2.2-cp310-cp310-manylinux_2_17_ppc64le.manylinux2014_ppc64le.whl", hash = "sha256:aef5474d913d3b05e613906ba4090433c515e13ea49c837aca18bde190853dff"}, + {file = "lxml-5.2.2-cp310-cp310-manylinux_2_17_s390x.manylinux2014_s390x.whl", hash = "sha256:1e275ea572389e41e8b039ac076a46cb87ee6b8542df3fff26f5baab43713bca"}, + {file = "lxml-5.2.2-cp310-cp310-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:f5b65529bb2f21ac7861a0e94fdbf5dc0daab41497d18223b46ee8515e5ad297"}, + {file = "lxml-5.2.2-cp310-cp310-manylinux_2_28_aarch64.whl", hash = "sha256:bcc98f911f10278d1daf14b87d65325851a1d29153caaf146877ec37031d5f36"}, + {file = "lxml-5.2.2-cp310-cp310-manylinux_2_28_ppc64le.whl", hash = "sha256:b47633251727c8fe279f34025844b3b3a3e40cd1b198356d003aa146258d13a2"}, + {file = "lxml-5.2.2-cp310-cp310-manylinux_2_28_s390x.whl", hash = "sha256:fbc9d316552f9ef7bba39f4edfad4a734d3d6f93341232a9dddadec4f15d425f"}, + {file = "lxml-5.2.2-cp310-cp310-manylinux_2_28_x86_64.whl", hash = "sha256:13e69be35391ce72712184f69000cda04fc89689429179bc4c0ae5f0b7a8c21b"}, + {file = "lxml-5.2.2-cp310-cp310-musllinux_1_1_aarch64.whl", hash = "sha256:3b6a30a9ab040b3f545b697cb3adbf3696c05a3a68aad172e3fd7ca73ab3c835"}, + {file = "lxml-5.2.2-cp310-cp310-musllinux_1_1_ppc64le.whl", hash = "sha256:a233bb68625a85126ac9f1fc66d24337d6e8a0f9207b688eec2e7c880f012ec0"}, + {file = "lxml-5.2.2-cp310-cp310-musllinux_1_1_s390x.whl", hash = "sha256:dfa7c241073d8f2b8e8dbc7803c434f57dbb83ae2a3d7892dd068d99e96efe2c"}, + {file = "lxml-5.2.2-cp310-cp310-musllinux_1_1_x86_64.whl", hash = "sha256:1a7aca7964ac4bb07680d5c9d63b9d7028cace3e2d43175cb50bba8c5ad33316"}, + {file = "lxml-5.2.2-cp310-cp310-musllinux_1_2_aarch64.whl", hash = "sha256:ae4073a60ab98529ab8a72ebf429f2a8cc612619a8c04e08bed27450d52103c0"}, + {file = "lxml-5.2.2-cp310-cp310-musllinux_1_2_ppc64le.whl", hash = "sha256:ffb2be176fed4457e445fe540617f0252a72a8bc56208fd65a690fdb1f57660b"}, + {file = "lxml-5.2.2-cp310-cp310-musllinux_1_2_s390x.whl", hash = "sha256:e290d79a4107d7d794634ce3e985b9ae4f920380a813717adf61804904dc4393"}, + {file = "lxml-5.2.2-cp310-cp310-musllinux_1_2_x86_64.whl", hash = "sha256:96e85aa09274955bb6bd483eaf5b12abadade01010478154b0ec70284c1b1526"}, + {file = "lxml-5.2.2-cp310-cp310-win32.whl", hash = "sha256:f956196ef61369f1685d14dad80611488d8dc1ef00be57c0c5a03064005b0f30"}, + {file = "lxml-5.2.2-cp310-cp310-win_amd64.whl", hash = "sha256:875a3f90d7eb5c5d77e529080d95140eacb3c6d13ad5b616ee8095447b1d22e7"}, + {file = "lxml-5.2.2-cp311-cp311-macosx_10_9_universal2.whl", hash = "sha256:45f9494613160d0405682f9eee781c7e6d1bf45f819654eb249f8f46a2c22545"}, + {file = "lxml-5.2.2-cp311-cp311-macosx_10_9_x86_64.whl", hash = "sha256:b0b3f2df149efb242cee2ffdeb6674b7f30d23c9a7af26595099afaf46ef4e88"}, + {file = "lxml-5.2.2-cp311-cp311-manylinux_2_12_i686.manylinux2010_i686.manylinux_2_17_i686.manylinux2014_i686.whl", hash = "sha256:d28cb356f119a437cc58a13f8135ab8a4c8ece18159eb9194b0d269ec4e28083"}, + {file = "lxml-5.2.2-cp311-cp311-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:657a972f46bbefdbba2d4f14413c0d079f9ae243bd68193cb5061b9732fa54c1"}, + {file = "lxml-5.2.2-cp311-cp311-manylinux_2_17_ppc64le.manylinux2014_ppc64le.whl", hash = "sha256:b74b9ea10063efb77a965a8d5f4182806fbf59ed068b3c3fd6f30d2ac7bee734"}, + {file = "lxml-5.2.2-cp311-cp311-manylinux_2_17_s390x.manylinux2014_s390x.whl", hash = "sha256:07542787f86112d46d07d4f3c4e7c760282011b354d012dc4141cc12a68cef5f"}, + {file = "lxml-5.2.2-cp311-cp311-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:303f540ad2dddd35b92415b74b900c749ec2010e703ab3bfd6660979d01fd4ed"}, + {file = "lxml-5.2.2-cp311-cp311-manylinux_2_28_aarch64.whl", hash = "sha256:2eb2227ce1ff998faf0cd7fe85bbf086aa41dfc5af3b1d80867ecfe75fb68df3"}, + {file = "lxml-5.2.2-cp311-cp311-manylinux_2_28_ppc64le.whl", hash = "sha256:1d8a701774dfc42a2f0b8ccdfe7dbc140500d1049e0632a611985d943fcf12df"}, + {file = "lxml-5.2.2-cp311-cp311-manylinux_2_28_s390x.whl", hash = "sha256:56793b7a1a091a7c286b5f4aa1fe4ae5d1446fe742d00cdf2ffb1077865db10d"}, + {file = "lxml-5.2.2-cp311-cp311-manylinux_2_28_x86_64.whl", hash = "sha256:eb00b549b13bd6d884c863554566095bf6fa9c3cecb2e7b399c4bc7904cb33b5"}, + {file = "lxml-5.2.2-cp311-cp311-musllinux_1_1_aarch64.whl", hash = "sha256:1a2569a1f15ae6c8c64108a2cd2b4a858fc1e13d25846be0666fc144715e32ab"}, + {file = "lxml-5.2.2-cp311-cp311-musllinux_1_1_ppc64le.whl", hash = "sha256:8cf85a6e40ff1f37fe0f25719aadf443686b1ac7652593dc53c7ef9b8492b115"}, + {file = "lxml-5.2.2-cp311-cp311-musllinux_1_1_s390x.whl", hash = "sha256:d237ba6664b8e60fd90b8549a149a74fcc675272e0e95539a00522e4ca688b04"}, + {file = "lxml-5.2.2-cp311-cp311-musllinux_1_1_x86_64.whl", hash = "sha256:0b3f5016e00ae7630a4b83d0868fca1e3d494c78a75b1c7252606a3a1c5fc2ad"}, + {file = "lxml-5.2.2-cp311-cp311-musllinux_1_2_aarch64.whl", hash = "sha256:23441e2b5339bc54dc949e9e675fa35efe858108404ef9aa92f0456929ef6fe8"}, + {file = "lxml-5.2.2-cp311-cp311-musllinux_1_2_ppc64le.whl", hash = "sha256:2fb0ba3e8566548d6c8e7dd82a8229ff47bd8fb8c2da237607ac8e5a1b8312e5"}, + {file = "lxml-5.2.2-cp311-cp311-musllinux_1_2_s390x.whl", hash = "sha256:79d1fb9252e7e2cfe4de6e9a6610c7cbb99b9708e2c3e29057f487de5a9eaefa"}, + {file = "lxml-5.2.2-cp311-cp311-musllinux_1_2_x86_64.whl", hash = "sha256:6dcc3d17eac1df7859ae01202e9bb11ffa8c98949dcbeb1069c8b9a75917e01b"}, + {file = "lxml-5.2.2-cp311-cp311-win32.whl", hash = "sha256:4c30a2f83677876465f44c018830f608fa3c6a8a466eb223535035fbc16f3438"}, + {file = "lxml-5.2.2-cp311-cp311-win_amd64.whl", hash = "sha256:49095a38eb333aaf44c06052fd2ec3b8f23e19747ca7ec6f6c954ffea6dbf7be"}, + {file = "lxml-5.2.2-cp312-cp312-macosx_10_9_universal2.whl", hash = "sha256:7429e7faa1a60cad26ae4227f4dd0459efde239e494c7312624ce228e04f6391"}, + {file = "lxml-5.2.2-cp312-cp312-macosx_10_9_x86_64.whl", hash = "sha256:50ccb5d355961c0f12f6cf24b7187dbabd5433f29e15147a67995474f27d1776"}, + {file = "lxml-5.2.2-cp312-cp312-manylinux_2_12_i686.manylinux2010_i686.manylinux_2_17_i686.manylinux2014_i686.whl", hash = "sha256:dc911208b18842a3a57266d8e51fc3cfaccee90a5351b92079beed912a7914c2"}, + {file = "lxml-5.2.2-cp312-cp312-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:33ce9e786753743159799fdf8e92a5da351158c4bfb6f2db0bf31e7892a1feb5"}, + {file = "lxml-5.2.2-cp312-cp312-manylinux_2_17_ppc64le.manylinux2014_ppc64le.whl", hash = "sha256:ec87c44f619380878bd49ca109669c9f221d9ae6883a5bcb3616785fa8f94c97"}, + {file = "lxml-5.2.2-cp312-cp312-manylinux_2_17_s390x.manylinux2014_s390x.whl", hash = "sha256:08ea0f606808354eb8f2dfaac095963cb25d9d28e27edcc375d7b30ab01abbf6"}, + {file = "lxml-5.2.2-cp312-cp312-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:75a9632f1d4f698b2e6e2e1ada40e71f369b15d69baddb8968dcc8e683839b18"}, + {file = "lxml-5.2.2-cp312-cp312-manylinux_2_28_aarch64.whl", hash = "sha256:74da9f97daec6928567b48c90ea2c82a106b2d500f397eeb8941e47d30b1ca85"}, + {file = "lxml-5.2.2-cp312-cp312-manylinux_2_28_ppc64le.whl", hash = "sha256:0969e92af09c5687d769731e3f39ed62427cc72176cebb54b7a9d52cc4fa3b73"}, + {file = "lxml-5.2.2-cp312-cp312-manylinux_2_28_s390x.whl", hash = "sha256:9164361769b6ca7769079f4d426a41df6164879f7f3568be9086e15baca61466"}, + {file = "lxml-5.2.2-cp312-cp312-manylinux_2_28_x86_64.whl", hash = "sha256:d26a618ae1766279f2660aca0081b2220aca6bd1aa06b2cf73f07383faf48927"}, + {file = "lxml-5.2.2-cp312-cp312-musllinux_1_1_aarch64.whl", hash = "sha256:ab67ed772c584b7ef2379797bf14b82df9aa5f7438c5b9a09624dd834c1c1aaf"}, + {file = "lxml-5.2.2-cp312-cp312-musllinux_1_1_ppc64le.whl", hash = "sha256:3d1e35572a56941b32c239774d7e9ad724074d37f90c7a7d499ab98761bd80cf"}, + {file = "lxml-5.2.2-cp312-cp312-musllinux_1_1_s390x.whl", hash = "sha256:8268cbcd48c5375f46e000adb1390572c98879eb4f77910c6053d25cc3ac2c67"}, + {file = "lxml-5.2.2-cp312-cp312-musllinux_1_1_x86_64.whl", hash = "sha256:e282aedd63c639c07c3857097fc0e236f984ceb4089a8b284da1c526491e3f3d"}, + {file = "lxml-5.2.2-cp312-cp312-musllinux_1_2_aarch64.whl", hash = "sha256:6dfdc2bfe69e9adf0df4915949c22a25b39d175d599bf98e7ddf620a13678585"}, + {file = "lxml-5.2.2-cp312-cp312-musllinux_1_2_ppc64le.whl", hash = "sha256:4aefd911793b5d2d7a921233a54c90329bf3d4a6817dc465f12ffdfe4fc7b8fe"}, + {file = "lxml-5.2.2-cp312-cp312-musllinux_1_2_s390x.whl", hash = "sha256:8b8df03a9e995b6211dafa63b32f9d405881518ff1ddd775db4e7b98fb545e1c"}, + {file = "lxml-5.2.2-cp312-cp312-musllinux_1_2_x86_64.whl", hash = "sha256:f11ae142f3a322d44513de1018b50f474f8f736bc3cd91d969f464b5bfef8836"}, + {file = "lxml-5.2.2-cp312-cp312-win32.whl", hash = "sha256:16a8326e51fcdffc886294c1e70b11ddccec836516a343f9ed0f82aac043c24a"}, + {file = "lxml-5.2.2-cp312-cp312-win_amd64.whl", hash = "sha256:bbc4b80af581e18568ff07f6395c02114d05f4865c2812a1f02f2eaecf0bfd48"}, + {file = "lxml-5.2.2-cp36-cp36m-macosx_10_9_x86_64.whl", hash = "sha256:e3d9d13603410b72787579769469af730c38f2f25505573a5888a94b62b920f8"}, + {file = "lxml-5.2.2-cp36-cp36m-manylinux_2_12_i686.manylinux2010_i686.manylinux_2_17_i686.manylinux2014_i686.whl", hash = "sha256:38b67afb0a06b8575948641c1d6d68e41b83a3abeae2ca9eed2ac59892b36706"}, + {file = "lxml-5.2.2-cp36-cp36m-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:c689d0d5381f56de7bd6966a4541bff6e08bf8d3871bbd89a0c6ab18aa699573"}, + {file = "lxml-5.2.2-cp36-cp36m-manylinux_2_28_x86_64.whl", hash = "sha256:cf2a978c795b54c539f47964ec05e35c05bd045db5ca1e8366988c7f2fe6b3ce"}, + {file = "lxml-5.2.2-cp36-cp36m-manylinux_2_5_x86_64.manylinux1_x86_64.whl", hash = "sha256:739e36ef7412b2bd940f75b278749106e6d025e40027c0b94a17ef7968d55d56"}, + {file = "lxml-5.2.2-cp36-cp36m-musllinux_1_1_x86_64.whl", hash = "sha256:d8bbcd21769594dbba9c37d3c819e2d5847656ca99c747ddb31ac1701d0c0ed9"}, + {file = "lxml-5.2.2-cp36-cp36m-musllinux_1_2_x86_64.whl", hash = "sha256:2304d3c93f2258ccf2cf7a6ba8c761d76ef84948d87bf9664e14d203da2cd264"}, + {file = "lxml-5.2.2-cp36-cp36m-win32.whl", hash = "sha256:02437fb7308386867c8b7b0e5bc4cd4b04548b1c5d089ffb8e7b31009b961dc3"}, + {file = "lxml-5.2.2-cp36-cp36m-win_amd64.whl", hash = "sha256:edcfa83e03370032a489430215c1e7783128808fd3e2e0a3225deee278585196"}, + {file = "lxml-5.2.2-cp37-cp37m-macosx_10_9_x86_64.whl", hash = "sha256:28bf95177400066596cdbcfc933312493799382879da504633d16cf60bba735b"}, + {file = "lxml-5.2.2-cp37-cp37m-manylinux_2_12_i686.manylinux2010_i686.manylinux_2_17_i686.manylinux2014_i686.whl", hash = "sha256:3a745cc98d504d5bd2c19b10c79c61c7c3df9222629f1b6210c0368177589fb8"}, + {file = "lxml-5.2.2-cp37-cp37m-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:1b590b39ef90c6b22ec0be925b211298e810b4856909c8ca60d27ffbca6c12e6"}, + {file = "lxml-5.2.2-cp37-cp37m-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:b336b0416828022bfd5a2e3083e7f5ba54b96242159f83c7e3eebaec752f1716"}, + {file = "lxml-5.2.2-cp37-cp37m-manylinux_2_28_aarch64.whl", hash = "sha256:c2faf60c583af0d135e853c86ac2735ce178f0e338a3c7f9ae8f622fd2eb788c"}, + {file = "lxml-5.2.2-cp37-cp37m-manylinux_2_28_x86_64.whl", hash = "sha256:4bc6cb140a7a0ad1f7bc37e018d0ed690b7b6520ade518285dc3171f7a117905"}, + {file = "lxml-5.2.2-cp37-cp37m-musllinux_1_1_aarch64.whl", hash = "sha256:7ff762670cada8e05b32bf1e4dc50b140790909caa8303cfddc4d702b71ea184"}, + {file = "lxml-5.2.2-cp37-cp37m-musllinux_1_1_x86_64.whl", hash = "sha256:57f0a0bbc9868e10ebe874e9f129d2917750adf008fe7b9c1598c0fbbfdde6a6"}, + {file = "lxml-5.2.2-cp37-cp37m-musllinux_1_2_aarch64.whl", hash = "sha256:a6d2092797b388342c1bc932077ad232f914351932353e2e8706851c870bca1f"}, + {file = "lxml-5.2.2-cp37-cp37m-musllinux_1_2_x86_64.whl", hash = "sha256:60499fe961b21264e17a471ec296dcbf4365fbea611bf9e303ab69db7159ce61"}, + {file = "lxml-5.2.2-cp37-cp37m-win32.whl", hash = "sha256:d9b342c76003c6b9336a80efcc766748a333573abf9350f4094ee46b006ec18f"}, + {file = "lxml-5.2.2-cp37-cp37m-win_amd64.whl", hash = "sha256:b16db2770517b8799c79aa80f4053cd6f8b716f21f8aca962725a9565ce3ee40"}, + {file = "lxml-5.2.2-cp38-cp38-macosx_10_9_x86_64.whl", hash = "sha256:7ed07b3062b055d7a7f9d6557a251cc655eed0b3152b76de619516621c56f5d3"}, + {file = "lxml-5.2.2-cp38-cp38-manylinux_2_12_i686.manylinux2010_i686.manylinux_2_17_i686.manylinux2014_i686.whl", hash = "sha256:f60fdd125d85bf9c279ffb8e94c78c51b3b6a37711464e1f5f31078b45002421"}, + {file = "lxml-5.2.2-cp38-cp38-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:8a7e24cb69ee5f32e003f50e016d5fde438010c1022c96738b04fc2423e61706"}, + {file = "lxml-5.2.2-cp38-cp38-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:23cfafd56887eaed93d07bc4547abd5e09d837a002b791e9767765492a75883f"}, + {file = "lxml-5.2.2-cp38-cp38-manylinux_2_28_aarch64.whl", hash = "sha256:19b4e485cd07b7d83e3fe3b72132e7df70bfac22b14fe4bf7a23822c3a35bff5"}, + {file = "lxml-5.2.2-cp38-cp38-manylinux_2_28_x86_64.whl", hash = "sha256:7ce7ad8abebe737ad6143d9d3bf94b88b93365ea30a5b81f6877ec9c0dee0a48"}, + {file = "lxml-5.2.2-cp38-cp38-musllinux_1_1_aarch64.whl", hash = "sha256:e49b052b768bb74f58c7dda4e0bdf7b79d43a9204ca584ffe1fb48a6f3c84c66"}, + {file = "lxml-5.2.2-cp38-cp38-musllinux_1_1_x86_64.whl", hash = "sha256:d14a0d029a4e176795cef99c056d58067c06195e0c7e2dbb293bf95c08f772a3"}, + {file = "lxml-5.2.2-cp38-cp38-musllinux_1_2_aarch64.whl", hash = "sha256:be49ad33819d7dcc28a309b86d4ed98e1a65f3075c6acd3cd4fe32103235222b"}, + {file = "lxml-5.2.2-cp38-cp38-musllinux_1_2_x86_64.whl", hash = "sha256:a6d17e0370d2516d5bb9062c7b4cb731cff921fc875644c3d751ad857ba9c5b1"}, + {file = "lxml-5.2.2-cp38-cp38-win32.whl", hash = "sha256:5b8c041b6265e08eac8a724b74b655404070b636a8dd6d7a13c3adc07882ef30"}, + {file = "lxml-5.2.2-cp38-cp38-win_amd64.whl", hash = "sha256:f61efaf4bed1cc0860e567d2ecb2363974d414f7f1f124b1df368bbf183453a6"}, + {file = "lxml-5.2.2-cp39-cp39-macosx_10_9_universal2.whl", hash = "sha256:fb91819461b1b56d06fa4bcf86617fac795f6a99d12239fb0c68dbeba41a0a30"}, + {file = "lxml-5.2.2-cp39-cp39-macosx_10_9_x86_64.whl", hash = "sha256:d4ed0c7cbecde7194cd3228c044e86bf73e30a23505af852857c09c24e77ec5d"}, + {file = "lxml-5.2.2-cp39-cp39-manylinux_2_12_i686.manylinux2010_i686.manylinux_2_17_i686.manylinux2014_i686.whl", hash = "sha256:54401c77a63cc7d6dc4b4e173bb484f28a5607f3df71484709fe037c92d4f0ed"}, + {file = "lxml-5.2.2-cp39-cp39-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:625e3ef310e7fa3a761d48ca7ea1f9d8718a32b1542e727d584d82f4453d5eeb"}, + {file = "lxml-5.2.2-cp39-cp39-manylinux_2_17_ppc64le.manylinux2014_ppc64le.whl", hash = "sha256:519895c99c815a1a24a926d5b60627ce5ea48e9f639a5cd328bda0515ea0f10c"}, + {file = "lxml-5.2.2-cp39-cp39-manylinux_2_17_s390x.manylinux2014_s390x.whl", hash = "sha256:c7079d5eb1c1315a858bbf180000757db8ad904a89476653232db835c3114001"}, + {file = "lxml-5.2.2-cp39-cp39-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:343ab62e9ca78094f2306aefed67dcfad61c4683f87eee48ff2fd74902447726"}, + {file = "lxml-5.2.2-cp39-cp39-manylinux_2_28_aarch64.whl", hash = "sha256:cd9e78285da6c9ba2d5c769628f43ef66d96ac3085e59b10ad4f3707980710d3"}, + {file = "lxml-5.2.2-cp39-cp39-manylinux_2_28_ppc64le.whl", hash = "sha256:546cf886f6242dff9ec206331209db9c8e1643ae642dea5fdbecae2453cb50fd"}, + {file = "lxml-5.2.2-cp39-cp39-manylinux_2_28_s390x.whl", hash = "sha256:02f6a8eb6512fdc2fd4ca10a49c341c4e109aa6e9448cc4859af5b949622715a"}, + {file = "lxml-5.2.2-cp39-cp39-manylinux_2_28_x86_64.whl", hash = "sha256:339ee4a4704bc724757cd5dd9dc8cf4d00980f5d3e6e06d5847c1b594ace68ab"}, + {file = "lxml-5.2.2-cp39-cp39-musllinux_1_1_aarch64.whl", hash = "sha256:0a028b61a2e357ace98b1615fc03f76eb517cc028993964fe08ad514b1e8892d"}, + {file = "lxml-5.2.2-cp39-cp39-musllinux_1_1_ppc64le.whl", hash = "sha256:f90e552ecbad426eab352e7b2933091f2be77115bb16f09f78404861c8322981"}, + {file = "lxml-5.2.2-cp39-cp39-musllinux_1_1_s390x.whl", hash = "sha256:d83e2d94b69bf31ead2fa45f0acdef0757fa0458a129734f59f67f3d2eb7ef32"}, + {file = "lxml-5.2.2-cp39-cp39-musllinux_1_1_x86_64.whl", hash = "sha256:a02d3c48f9bb1e10c7788d92c0c7db6f2002d024ab6e74d6f45ae33e3d0288a3"}, + {file = "lxml-5.2.2-cp39-cp39-musllinux_1_2_aarch64.whl", hash = "sha256:6d68ce8e7b2075390e8ac1e1d3a99e8b6372c694bbe612632606d1d546794207"}, + {file = "lxml-5.2.2-cp39-cp39-musllinux_1_2_ppc64le.whl", hash = "sha256:453d037e09a5176d92ec0fd282e934ed26d806331a8b70ab431a81e2fbabf56d"}, + {file = "lxml-5.2.2-cp39-cp39-musllinux_1_2_s390x.whl", hash = "sha256:3b019d4ee84b683342af793b56bb35034bd749e4cbdd3d33f7d1107790f8c472"}, + {file = "lxml-5.2.2-cp39-cp39-musllinux_1_2_x86_64.whl", hash = "sha256:cb3942960f0beb9f46e2a71a3aca220d1ca32feb5a398656be934320804c0df9"}, + {file = "lxml-5.2.2-cp39-cp39-win32.whl", hash = "sha256:ac6540c9fff6e3813d29d0403ee7a81897f1d8ecc09a8ff84d2eea70ede1cdbf"}, + {file = "lxml-5.2.2-cp39-cp39-win_amd64.whl", hash = "sha256:610b5c77428a50269f38a534057444c249976433f40f53e3b47e68349cca1425"}, + {file = "lxml-5.2.2-pp310-pypy310_pp73-macosx_10_9_x86_64.whl", hash = "sha256:b537bd04d7ccd7c6350cdaaaad911f6312cbd61e6e6045542f781c7f8b2e99d2"}, + {file = "lxml-5.2.2-pp310-pypy310_pp73-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:4820c02195d6dfb7b8508ff276752f6b2ff8b64ae5d13ebe02e7667e035000b9"}, + {file = "lxml-5.2.2-pp310-pypy310_pp73-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:f2a09f6184f17a80897172863a655467da2b11151ec98ba8d7af89f17bf63dae"}, + {file = "lxml-5.2.2-pp310-pypy310_pp73-manylinux_2_28_aarch64.whl", hash = "sha256:76acba4c66c47d27c8365e7c10b3d8016a7da83d3191d053a58382311a8bf4e1"}, + {file = "lxml-5.2.2-pp310-pypy310_pp73-manylinux_2_28_x86_64.whl", hash = "sha256:b128092c927eaf485928cec0c28f6b8bead277e28acf56800e972aa2c2abd7a2"}, + {file = "lxml-5.2.2-pp310-pypy310_pp73-win_amd64.whl", hash = "sha256:ae791f6bd43305aade8c0e22f816b34f3b72b6c820477aab4d18473a37e8090b"}, + {file = "lxml-5.2.2-pp37-pypy37_pp73-macosx_10_9_x86_64.whl", hash = "sha256:a2f6a1bc2460e643785a2cde17293bd7a8f990884b822f7bca47bee0a82fc66b"}, + {file = "lxml-5.2.2-pp37-pypy37_pp73-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:8e8d351ff44c1638cb6e980623d517abd9f580d2e53bfcd18d8941c052a5a009"}, + {file = "lxml-5.2.2-pp37-pypy37_pp73-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:bec4bd9133420c5c52d562469c754f27c5c9e36ee06abc169612c959bd7dbb07"}, + {file = "lxml-5.2.2-pp37-pypy37_pp73-manylinux_2_28_aarch64.whl", hash = "sha256:55ce6b6d803890bd3cc89975fca9de1dff39729b43b73cb15ddd933b8bc20484"}, + {file = "lxml-5.2.2-pp37-pypy37_pp73-manylinux_2_28_x86_64.whl", hash = "sha256:8ab6a358d1286498d80fe67bd3d69fcbc7d1359b45b41e74c4a26964ca99c3f8"}, + {file = "lxml-5.2.2-pp37-pypy37_pp73-win_amd64.whl", hash = "sha256:06668e39e1f3c065349c51ac27ae430719d7806c026fec462e5693b08b95696b"}, + {file = "lxml-5.2.2-pp38-pypy38_pp73-macosx_10_9_x86_64.whl", hash = "sha256:9cd5323344d8ebb9fb5e96da5de5ad4ebab993bbf51674259dbe9d7a18049525"}, + {file = "lxml-5.2.2-pp38-pypy38_pp73-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:89feb82ca055af0fe797a2323ec9043b26bc371365847dbe83c7fd2e2f181c34"}, + {file = "lxml-5.2.2-pp38-pypy38_pp73-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:e481bba1e11ba585fb06db666bfc23dbe181dbafc7b25776156120bf12e0d5a6"}, + {file = "lxml-5.2.2-pp38-pypy38_pp73-manylinux_2_28_aarch64.whl", hash = "sha256:9d6c6ea6a11ca0ff9cd0390b885984ed31157c168565702959c25e2191674a14"}, + {file = "lxml-5.2.2-pp38-pypy38_pp73-manylinux_2_28_x86_64.whl", hash = "sha256:3d98de734abee23e61f6b8c2e08a88453ada7d6486dc7cdc82922a03968928db"}, + {file = "lxml-5.2.2-pp38-pypy38_pp73-win_amd64.whl", hash = "sha256:69ab77a1373f1e7563e0fb5a29a8440367dec051da6c7405333699d07444f511"}, + {file = "lxml-5.2.2-pp39-pypy39_pp73-macosx_10_9_x86_64.whl", hash = "sha256:34e17913c431f5ae01d8658dbf792fdc457073dcdfbb31dc0cc6ab256e664a8d"}, + {file = "lxml-5.2.2-pp39-pypy39_pp73-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:05f8757b03208c3f50097761be2dea0aba02e94f0dc7023ed73a7bb14ff11eb0"}, + {file = "lxml-5.2.2-pp39-pypy39_pp73-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:6a520b4f9974b0a0a6ed73c2154de57cdfd0c8800f4f15ab2b73238ffed0b36e"}, + {file = "lxml-5.2.2-pp39-pypy39_pp73-manylinux_2_28_aarch64.whl", hash = "sha256:5e097646944b66207023bc3c634827de858aebc226d5d4d6d16f0b77566ea182"}, + {file = "lxml-5.2.2-pp39-pypy39_pp73-manylinux_2_28_x86_64.whl", hash = "sha256:b5e4ef22ff25bfd4ede5f8fb30f7b24446345f3e79d9b7455aef2836437bc38a"}, + {file = "lxml-5.2.2-pp39-pypy39_pp73-win_amd64.whl", hash = "sha256:ff69a9a0b4b17d78170c73abe2ab12084bdf1691550c5629ad1fe7849433f324"}, + {file = "lxml-5.2.2.tar.gz", hash = "sha256:bb2dc4898180bea79863d5487e5f9c7c34297414bad54bcd0f0852aee9cfdb87"}, ] [package.extras] @@ -4564,13 +4894,13 @@ source = ["Cython (>=3.0.10)"] [[package]] name = "mako" -version = "1.3.3" +version = "1.3.5" description = "A super-fast templating language that borrows the best ideas from the existing templating languages." optional = false python-versions = ">=3.8" files = [ - {file = "Mako-1.3.3-py3-none-any.whl", hash = "sha256:5324b88089a8978bf76d1629774fcc2f1c07b82acdf00f4c5dd8ceadfffc4b40"}, - {file = "Mako-1.3.3.tar.gz", hash = "sha256:e16c01d9ab9c11f7290eef1cfefc093fb5a45ee4a3da09e2fec2e4d1bae54e73"}, + {file = "Mako-1.3.5-py3-none-any.whl", hash = "sha256:260f1dbc3a519453a9c856dedfe4beb4e50bd5a26d96386cb6c80856556bb91a"}, + {file = "Mako-1.3.5.tar.gz", hash = "sha256:48dbc20568c1d276a2698b36d968fa76161bf127194907ea6fc594fa81f943bc"}, ] [package.dependencies] @@ -4581,21 +4911,6 @@ babel = ["Babel"] lingua = ["lingua"] testing = ["pytest"] -[[package]] -name = "markdown" -version = "3.6" -description = "Python implementation of John Gruber's Markdown." -optional = false -python-versions = ">=3.8" -files = [ - {file = "Markdown-3.6-py3-none-any.whl", hash = "sha256:48f276f4d8cfb8ce6527c8f79e2ee29708508bf4d40aa410fbc3b4ee832c850f"}, - {file = "Markdown-3.6.tar.gz", hash = "sha256:ed4f41f6daecbeeb96e576ce414c41d2d876daa9a16cb35fa8ed8c2ddfad0224"}, -] - -[package.extras] -docs = ["mdx-gh-links (>=0.2)", "mkdocs (>=1.5)", "mkdocs-gen-files", "mkdocs-literate-nav", "mkdocs-nature (>=0.6)", "mkdocs-section-index", "mkdocstrings[python]"] -testing = ["coverage", "pyyaml"] - [[package]] name = "markdown-it-py" version = "3.0.0" @@ -4691,13 +5006,13 @@ files = [ [[package]] name = "marshmallow" -version = "3.21.1" +version = "3.21.2" description = "A lightweight library for converting complex datatypes to and from native Python datatypes." optional = false python-versions = ">=3.8" files = [ - {file = "marshmallow-3.21.1-py3-none-any.whl", hash = "sha256:f085493f79efb0644f270a9bf2892843142d80d7174bbbd2f3713f2a589dc633"}, - {file = "marshmallow-3.21.1.tar.gz", hash = "sha256:4e65e9e0d80fc9e609574b9983cf32579f305c718afb30d7233ab818571768c3"}, + {file = "marshmallow-3.21.2-py3-none-any.whl", hash = "sha256:70b54a6282f4704d12c0a41599682c5c5450e843b9ec406308653b47c59648a1"}, + {file = "marshmallow-3.21.2.tar.gz", hash = "sha256:82408deadd8b33d56338d2182d455db632c6313aa2af61916672146bb32edc56"}, ] [package.dependencies] @@ -4705,7 +5020,7 @@ packaging = ">=17.0" [package.extras] dev = ["marshmallow[tests]", "pre-commit (>=3.5,<4.0)", "tox"] -docs = ["alabaster (==0.7.16)", "autodocsumm (==0.2.12)", "sphinx (==7.2.6)", "sphinx-issues (==4.0.0)", "sphinx-version-warning (==1.1.2)"] +docs = ["alabaster (==0.7.16)", "autodocsumm (==0.2.12)", "sphinx (==7.3.7)", "sphinx-issues (==4.1.0)", "sphinx-version-warning (==1.1.2)"] tests = ["pytest", "pytz", "simplejson"] [[package]] @@ -4762,6 +5077,24 @@ files = [ [package.dependencies] requests = "*" +[[package]] +name = "mkl" +version = "2021.4.0" +description = "Intel® oneAPI Math Kernel Library" +optional = true +python-versions = "*" +files = [ + {file = "mkl-2021.4.0-py2.py3-none-macosx_10_15_x86_64.macosx_11_0_x86_64.whl", hash = "sha256:67460f5cd7e30e405b54d70d1ed3ca78118370b65f7327d495e9c8847705e2fb"}, + {file = "mkl-2021.4.0-py2.py3-none-manylinux1_i686.whl", hash = "sha256:636d07d90e68ccc9630c654d47ce9fdeb036bb46e2b193b3a9ac8cfea683cce5"}, + {file = "mkl-2021.4.0-py2.py3-none-manylinux1_x86_64.whl", hash = "sha256:398dbf2b0d12acaf54117a5210e8f191827f373d362d796091d161f610c1ebfb"}, + {file = "mkl-2021.4.0-py2.py3-none-win32.whl", hash = "sha256:439c640b269a5668134e3dcbcea4350459c4a8bc46469669b2d67e07e3d330e8"}, + {file = "mkl-2021.4.0-py2.py3-none-win_amd64.whl", hash = "sha256:ceef3cafce4c009dd25f65d7ad0d833a0fbadc3d8903991ec92351fe5de1e718"}, +] + +[package.dependencies] +intel-openmp = "==2021.*" +tbb = "==2021.*" + [[package]] name = "mmh3" version = "4.1.0" @@ -4947,21 +5280,6 @@ files = [ {file = "msgpack-1.0.8.tar.gz", hash = "sha256:95c02b0e27e706e48d0e5426d1710ca78e0f0628d6e89d5b5a5b91a5f12274f3"}, ] -[[package]] -name = "msoffcrypto-tool" -version = "5.3.1" -description = "Python tool and library for decrypting MS Office files with passwords or other keys" -optional = false -python-versions = ">=3.8,<4.0" -files = [ - {file = "msoffcrypto_tool-5.3.1-py3-none-any.whl", hash = "sha256:4e44c10e38ca06d0ea511a31ee8834bfdedaf304b1369a0d3919db4f495dd5e4"}, - {file = "msoffcrypto_tool-5.3.1.tar.gz", hash = "sha256:f800ff133b9a753dfedff6a37b0f79bfeb8cc6856487b91dd486110c7d4f4099"}, -] - -[package.dependencies] -cryptography = ">=35.0" -olefile = ">=0.46" - [[package]] name = "multidict" version = "6.0.5" @@ -5091,38 +5409,38 @@ dill = ">=0.3.7" [[package]] name = "mypy" -version = "1.9.0" +version = "1.10.0" description = "Optional static typing for Python" optional = false python-versions = ">=3.8" files = [ - {file = "mypy-1.9.0-cp310-cp310-macosx_10_9_x86_64.whl", hash = "sha256:f8a67616990062232ee4c3952f41c779afac41405806042a8126fe96e098419f"}, - {file = "mypy-1.9.0-cp310-cp310-macosx_11_0_arm64.whl", hash = "sha256:d357423fa57a489e8c47b7c85dfb96698caba13d66e086b412298a1a0ea3b0ed"}, - {file = "mypy-1.9.0-cp310-cp310-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:49c87c15aed320de9b438ae7b00c1ac91cd393c1b854c2ce538e2a72d55df150"}, - {file = "mypy-1.9.0-cp310-cp310-musllinux_1_1_x86_64.whl", hash = "sha256:48533cdd345c3c2e5ef48ba3b0d3880b257b423e7995dada04248725c6f77374"}, - {file = "mypy-1.9.0-cp310-cp310-win_amd64.whl", hash = "sha256:4d3dbd346cfec7cb98e6cbb6e0f3c23618af826316188d587d1c1bc34f0ede03"}, - {file = "mypy-1.9.0-cp311-cp311-macosx_10_9_x86_64.whl", hash = "sha256:653265f9a2784db65bfca694d1edd23093ce49740b2244cde583aeb134c008f3"}, - {file = "mypy-1.9.0-cp311-cp311-macosx_11_0_arm64.whl", hash = "sha256:3a3c007ff3ee90f69cf0a15cbcdf0995749569b86b6d2f327af01fd1b8aee9dc"}, - {file = "mypy-1.9.0-cp311-cp311-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:2418488264eb41f69cc64a69a745fad4a8f86649af4b1041a4c64ee61fc61129"}, - {file = "mypy-1.9.0-cp311-cp311-musllinux_1_1_x86_64.whl", hash = "sha256:68edad3dc7d70f2f17ae4c6c1b9471a56138ca22722487eebacfd1eb5321d612"}, - {file = "mypy-1.9.0-cp311-cp311-win_amd64.whl", hash = "sha256:85ca5fcc24f0b4aeedc1d02f93707bccc04733f21d41c88334c5482219b1ccb3"}, - {file = "mypy-1.9.0-cp312-cp312-macosx_10_9_x86_64.whl", hash = "sha256:aceb1db093b04db5cd390821464504111b8ec3e351eb85afd1433490163d60cd"}, - {file = "mypy-1.9.0-cp312-cp312-macosx_11_0_arm64.whl", hash = "sha256:0235391f1c6f6ce487b23b9dbd1327b4ec33bb93934aa986efe8a9563d9349e6"}, - {file = "mypy-1.9.0-cp312-cp312-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:d4d5ddc13421ba3e2e082a6c2d74c2ddb3979c39b582dacd53dd5d9431237185"}, - {file = "mypy-1.9.0-cp312-cp312-musllinux_1_1_x86_64.whl", hash = "sha256:190da1ee69b427d7efa8aa0d5e5ccd67a4fb04038c380237a0d96829cb157913"}, - {file = "mypy-1.9.0-cp312-cp312-win_amd64.whl", hash = "sha256:fe28657de3bfec596bbeef01cb219833ad9d38dd5393fc649f4b366840baefe6"}, - {file = "mypy-1.9.0-cp38-cp38-macosx_10_9_x86_64.whl", hash = "sha256:e54396d70be04b34f31d2edf3362c1edd023246c82f1730bbf8768c28db5361b"}, - {file = "mypy-1.9.0-cp38-cp38-macosx_11_0_arm64.whl", hash = "sha256:5e6061f44f2313b94f920e91b204ec600982961e07a17e0f6cd83371cb23f5c2"}, - {file = "mypy-1.9.0-cp38-cp38-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:81a10926e5473c5fc3da8abb04119a1f5811a236dc3a38d92015cb1e6ba4cb9e"}, - {file = "mypy-1.9.0-cp38-cp38-musllinux_1_1_x86_64.whl", hash = "sha256:b685154e22e4e9199fc95f298661deea28aaede5ae16ccc8cbb1045e716b3e04"}, - {file = "mypy-1.9.0-cp38-cp38-win_amd64.whl", hash = "sha256:5d741d3fc7c4da608764073089e5f58ef6352bedc223ff58f2f038c2c4698a89"}, - {file = "mypy-1.9.0-cp39-cp39-macosx_10_9_x86_64.whl", hash = "sha256:587ce887f75dd9700252a3abbc9c97bbe165a4a630597845c61279cf32dfbf02"}, - {file = "mypy-1.9.0-cp39-cp39-macosx_11_0_arm64.whl", hash = "sha256:f88566144752999351725ac623471661c9d1cd8caa0134ff98cceeea181789f4"}, - {file = "mypy-1.9.0-cp39-cp39-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:61758fabd58ce4b0720ae1e2fea5cfd4431591d6d590b197775329264f86311d"}, - {file = "mypy-1.9.0-cp39-cp39-musllinux_1_1_x86_64.whl", hash = "sha256:e49499be624dead83927e70c756970a0bc8240e9f769389cdf5714b0784ca6bf"}, - {file = "mypy-1.9.0-cp39-cp39-win_amd64.whl", hash = "sha256:571741dc4194b4f82d344b15e8837e8c5fcc462d66d076748142327626a1b6e9"}, - {file = "mypy-1.9.0-py3-none-any.whl", hash = "sha256:a260627a570559181a9ea5de61ac6297aa5af202f06fd7ab093ce74e7181e43e"}, - {file = "mypy-1.9.0.tar.gz", hash = "sha256:3cc5da0127e6a478cddd906068496a97a7618a21ce9b54bde5bf7e539c7af974"}, + {file = "mypy-1.10.0-cp310-cp310-macosx_10_9_x86_64.whl", hash = "sha256:da1cbf08fb3b851ab3b9523a884c232774008267b1f83371ace57f412fe308c2"}, + {file = "mypy-1.10.0-cp310-cp310-macosx_11_0_arm64.whl", hash = "sha256:12b6bfc1b1a66095ab413160a6e520e1dc076a28f3e22f7fb25ba3b000b4ef99"}, + {file = "mypy-1.10.0-cp310-cp310-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:9e36fb078cce9904c7989b9693e41cb9711e0600139ce3970c6ef814b6ebc2b2"}, + {file = "mypy-1.10.0-cp310-cp310-musllinux_1_1_x86_64.whl", hash = "sha256:2b0695d605ddcd3eb2f736cd8b4e388288c21e7de85001e9f85df9187f2b50f9"}, + {file = "mypy-1.10.0-cp310-cp310-win_amd64.whl", hash = "sha256:cd777b780312ddb135bceb9bc8722a73ec95e042f911cc279e2ec3c667076051"}, + {file = "mypy-1.10.0-cp311-cp311-macosx_10_9_x86_64.whl", hash = "sha256:3be66771aa5c97602f382230165b856c231d1277c511c9a8dd058be4784472e1"}, + {file = "mypy-1.10.0-cp311-cp311-macosx_11_0_arm64.whl", hash = "sha256:8b2cbaca148d0754a54d44121b5825ae71868c7592a53b7292eeb0f3fdae95ee"}, + {file = "mypy-1.10.0-cp311-cp311-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:1ec404a7cbe9fc0e92cb0e67f55ce0c025014e26d33e54d9e506a0f2d07fe5de"}, + {file = "mypy-1.10.0-cp311-cp311-musllinux_1_1_x86_64.whl", hash = "sha256:e22e1527dc3d4aa94311d246b59e47f6455b8729f4968765ac1eacf9a4760bc7"}, + {file = "mypy-1.10.0-cp311-cp311-win_amd64.whl", hash = "sha256:a87dbfa85971e8d59c9cc1fcf534efe664d8949e4c0b6b44e8ca548e746a8d53"}, + {file = "mypy-1.10.0-cp312-cp312-macosx_10_9_x86_64.whl", hash = "sha256:a781f6ad4bab20eef8b65174a57e5203f4be627b46291f4589879bf4e257b97b"}, + {file = "mypy-1.10.0-cp312-cp312-macosx_11_0_arm64.whl", hash = "sha256:b808e12113505b97d9023b0b5e0c0705a90571c6feefc6f215c1df9381256e30"}, + {file = "mypy-1.10.0-cp312-cp312-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:8f55583b12156c399dce2df7d16f8a5095291354f1e839c252ec6c0611e86e2e"}, + {file = "mypy-1.10.0-cp312-cp312-musllinux_1_1_x86_64.whl", hash = "sha256:4cf18f9d0efa1b16478c4c129eabec36148032575391095f73cae2e722fcf9d5"}, + {file = "mypy-1.10.0-cp312-cp312-win_amd64.whl", hash = "sha256:bc6ac273b23c6b82da3bb25f4136c4fd42665f17f2cd850771cb600bdd2ebeda"}, + {file = "mypy-1.10.0-cp38-cp38-macosx_10_9_x86_64.whl", hash = "sha256:9fd50226364cd2737351c79807775136b0abe084433b55b2e29181a4c3c878c0"}, + {file = "mypy-1.10.0-cp38-cp38-macosx_11_0_arm64.whl", hash = "sha256:f90cff89eea89273727d8783fef5d4a934be2fdca11b47def50cf5d311aff727"}, + {file = "mypy-1.10.0-cp38-cp38-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:fcfc70599efde5c67862a07a1aaf50e55bce629ace26bb19dc17cece5dd31ca4"}, + {file = "mypy-1.10.0-cp38-cp38-musllinux_1_1_x86_64.whl", hash = "sha256:075cbf81f3e134eadaf247de187bd604748171d6b79736fa9b6c9685b4083061"}, + {file = "mypy-1.10.0-cp38-cp38-win_amd64.whl", hash = "sha256:3f298531bca95ff615b6e9f2fc0333aae27fa48052903a0ac90215021cdcfa4f"}, + {file = "mypy-1.10.0-cp39-cp39-macosx_10_9_x86_64.whl", hash = "sha256:fa7ef5244615a2523b56c034becde4e9e3f9b034854c93639adb667ec9ec2976"}, + {file = "mypy-1.10.0-cp39-cp39-macosx_11_0_arm64.whl", hash = "sha256:3236a4c8f535a0631f85f5fcdffba71c7feeef76a6002fcba7c1a8e57c8be1ec"}, + {file = "mypy-1.10.0-cp39-cp39-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:4a2b5cdbb5dd35aa08ea9114436e0d79aceb2f38e32c21684dcf8e24e1e92821"}, + {file = "mypy-1.10.0-cp39-cp39-musllinux_1_1_x86_64.whl", hash = "sha256:92f93b21c0fe73dc00abf91022234c79d793318b8a96faac147cd579c1671746"}, + {file = "mypy-1.10.0-cp39-cp39-win_amd64.whl", hash = "sha256:28d0e038361b45f099cc086d9dd99c15ff14d0188f44ac883010e172ce86c38a"}, + {file = "mypy-1.10.0-py3-none-any.whl", hash = "sha256:f8c083976eb530019175aabadb60921e73b4f45736760826aa1689dda8208aee"}, + {file = "mypy-1.10.0.tar.gz", hash = "sha256:3d087fcbec056c4ee34974da493a826ce316947485cef3901f511848e687c131"}, ] [package.dependencies] @@ -5201,6 +5519,20 @@ plot = ["matplotlib"] tgrep = ["pyparsing"] twitter = ["twython"] +[[package]] +name = "nodeenv" +version = "1.8.0" +description = "Node.js virtual environment builder" +optional = false +python-versions = ">=2.7,!=3.0.*,!=3.1.*,!=3.2.*,!=3.3.*,!=3.4.*,!=3.5.*,!=3.6.*" +files = [ + {file = "nodeenv-1.8.0-py2.py3-none-any.whl", hash = "sha256:df865724bb3c3adc86b3876fa209771517b0cfe596beff01a92700e0e8be4cec"}, + {file = "nodeenv-1.8.0.tar.gz", hash = "sha256:d51e0c37e64fbf47d017feac3145cdbb58836d7eee8c6f6d3b6880c5456227d2"}, +] + +[package.dependencies] +setuptools = "*" + [[package]] name = "numexpr" version = "2.10.0" @@ -5398,23 +5730,24 @@ nvidia-nvjitlink-cu12 = "*" [[package]] name = "nvidia-nccl-cu12" -version = "2.19.3" +version = "2.20.5" description = "NVIDIA Collective Communication Library (NCCL) Runtime" optional = true python-versions = ">=3" files = [ - {file = "nvidia_nccl_cu12-2.19.3-py3-none-manylinux1_x86_64.whl", hash = "sha256:a9734707a2c96443331c1e48c717024aa6678a0e2a4cb66b2c364d18cee6b48d"}, + {file = "nvidia_nccl_cu12-2.20.5-py3-none-manylinux2014_aarch64.whl", hash = "sha256:1fc150d5c3250b170b29410ba682384b14581db722b2531b0d8d33c595f33d01"}, + {file = "nvidia_nccl_cu12-2.20.5-py3-none-manylinux2014_x86_64.whl", hash = "sha256:057f6bf9685f75215d0c53bf3ac4a10b3e6578351de307abad9e18a99182af56"}, ] [[package]] name = "nvidia-nvjitlink-cu12" -version = "12.4.127" +version = "12.5.40" description = "Nvidia JIT LTO Library" optional = true python-versions = ">=3" files = [ - {file = "nvidia_nvjitlink_cu12-12.4.127-py3-none-manylinux2014_x86_64.whl", hash = "sha256:06b3b9b25bf3f8af351d664978ca26a16d2c5127dbd53c0497e28d1fb9611d57"}, - {file = "nvidia_nvjitlink_cu12-12.4.127-py3-none-win_amd64.whl", hash = "sha256:fd9020c501d27d135f983c6d3e244b197a7ccad769e34df53a42e276b0e25fa1"}, + {file = "nvidia_nvjitlink_cu12-12.5.40-py3-none-manylinux2014_x86_64.whl", hash = "sha256:d9714f27c1d0f0895cd8915c07a87a1d0029a0aa36acaf9156952ec2a8a12189"}, + {file = "nvidia_nvjitlink_cu12-12.5.40-py3-none-win_amd64.whl", hash = "sha256:c3401dc8543b52d3a8158007a0c1ab4e9c768fcbd24153a48c86972102197ddd"}, ] [[package]] @@ -5444,74 +5777,38 @@ rsa = ["cryptography (>=3.0.0)"] signals = ["blinker (>=1.4.0)"] signedtoken = ["cryptography (>=3.0.0)", "pyjwt (>=2.0.0,<3)"] -[[package]] -name = "olefile" -version = "0.47" -description = "Python package to parse, read and write Microsoft OLE2 files (Structured Storage or Compound Document, Microsoft Office)" -optional = false -python-versions = ">=2.7, !=3.0.*, !=3.1.*, !=3.2.*, !=3.3.*, !=3.4.*" -files = [ - {file = "olefile-0.47-py2.py3-none-any.whl", hash = "sha256:543c7da2a7adadf21214938bb79c83ea12b473a4b6ee4ad4bf854e7715e13d1f"}, - {file = "olefile-0.47.zip", hash = "sha256:599383381a0bf3dfbd932ca0ca6515acd174ed48870cbf7fee123d698c192c1c"}, -] - -[package.extras] -tests = ["pytest", "pytest-cov"] - -[[package]] -name = "oletools" -version = "0.60.1" -description = "Python tools to analyze security characteristics of MS Office and OLE files (also called Structured Storage, Compound File Binary Format or Compound Document File Format), for Malware Analysis and Incident Response #DFIR" -optional = false -python-versions = "*" -files = [ - {file = "oletools-0.60.1-py2.py3-none-any.whl", hash = "sha256:edef92374e688989a39269eb9a11142fb20a023629c23538c849c14d1d1144ea"}, - {file = "oletools-0.60.1.zip", hash = "sha256:67a796da4c4b8e2feb9a6b2495bef8798a3323a75512de4e5669d9dc9d1fae31"}, -] - -[package.dependencies] -colorclass = "*" -easygui = "*" -msoffcrypto-tool = {version = "*", markers = "platform_python_implementation != \"PyPy\" or python_version >= \"3\" and (platform_system != \"Windows\" and platform_system != \"Darwin\")"} -olefile = ">=0.46" -pcodedmp = ">=1.2.5" -pyparsing = ">=2.1.0,<3" - -[package.extras] -full = ["XLMMacroDeobfuscator"] - [[package]] name = "onnxruntime" -version = "1.17.3" +version = "1.18.0" description = "ONNX Runtime is a runtime accelerator for Machine Learning models" optional = false python-versions = "*" files = [ - {file = "onnxruntime-1.17.3-cp310-cp310-macosx_11_0_universal2.whl", hash = "sha256:d86dde9c0bb435d709e51bd25991c9fe5b9a5b168df45ce119769edc4d198b15"}, - {file = "onnxruntime-1.17.3-cp310-cp310-manylinux_2_27_aarch64.manylinux_2_28_aarch64.whl", hash = "sha256:9d87b68bf931ac527b2d3c094ead66bb4381bac4298b65f46c54fe4d1e255865"}, - {file = "onnxruntime-1.17.3-cp310-cp310-manylinux_2_27_x86_64.manylinux_2_28_x86_64.whl", hash = "sha256:26e950cf0333cf114a155f9142e71da344d2b08dfe202763a403ae81cc02ebd1"}, - {file = "onnxruntime-1.17.3-cp310-cp310-win32.whl", hash = "sha256:0962a4d0f5acebf62e1f0bf69b6e0adf16649115d8de854c1460e79972324d68"}, - {file = "onnxruntime-1.17.3-cp310-cp310-win_amd64.whl", hash = "sha256:468ccb8a0faa25c681a41787b1594bf4448b0252d3efc8b62fd8b2411754340f"}, - {file = "onnxruntime-1.17.3-cp311-cp311-macosx_11_0_universal2.whl", hash = "sha256:e8cd90c1c17d13d47b89ab076471e07fb85467c01dcd87a8b8b5cdfbcb40aa51"}, - {file = "onnxruntime-1.17.3-cp311-cp311-manylinux_2_27_aarch64.manylinux_2_28_aarch64.whl", hash = "sha256:a058b39801baefe454eeb8acf3ada298c55a06a4896fafc224c02d79e9037f60"}, - {file = "onnxruntime-1.17.3-cp311-cp311-manylinux_2_27_x86_64.manylinux_2_28_x86_64.whl", hash = "sha256:2f823d5eb4807007f3da7b27ca972263df6a1836e6f327384eb266274c53d05d"}, - {file = "onnxruntime-1.17.3-cp311-cp311-win32.whl", hash = "sha256:b66b23f9109e78ff2791628627a26f65cd335dcc5fbd67ff60162733a2f7aded"}, - {file = "onnxruntime-1.17.3-cp311-cp311-win_amd64.whl", hash = "sha256:570760ca53a74cdd751ee49f13de70d1384dcf73d9888b8deac0917023ccda6d"}, - {file = "onnxruntime-1.17.3-cp312-cp312-macosx_11_0_universal2.whl", hash = "sha256:77c318178d9c16e9beadd9a4070d8aaa9f57382c3f509b01709f0f010e583b99"}, - {file = "onnxruntime-1.17.3-cp312-cp312-manylinux_2_27_aarch64.manylinux_2_28_aarch64.whl", hash = "sha256:23da8469049b9759082e22c41a444f44a520a9c874b084711b6343672879f50b"}, - {file = "onnxruntime-1.17.3-cp312-cp312-manylinux_2_27_x86_64.manylinux_2_28_x86_64.whl", hash = "sha256:2949730215af3f9289008b2e31e9bbef952012a77035b911c4977edea06f3f9e"}, - {file = "onnxruntime-1.17.3-cp312-cp312-win32.whl", hash = "sha256:6c7555a49008f403fb3b19204671efb94187c5085976ae526cb625f6ede317bc"}, - {file = "onnxruntime-1.17.3-cp312-cp312-win_amd64.whl", hash = "sha256:58672cf20293a1b8a277a5c6c55383359fcdf6119b2f14df6ce3b140f5001c39"}, - {file = "onnxruntime-1.17.3-cp38-cp38-macosx_11_0_universal2.whl", hash = "sha256:4395ba86e3c1e93c794a00619ef1aec597ab78f5a5039f3c6d2e9d0695c0a734"}, - {file = "onnxruntime-1.17.3-cp38-cp38-manylinux_2_27_aarch64.manylinux_2_28_aarch64.whl", hash = "sha256:bdf354c04344ec38564fc22394e1fe08aa6d70d790df00159205a0055c4a4d3f"}, - {file = "onnxruntime-1.17.3-cp38-cp38-manylinux_2_27_x86_64.manylinux_2_28_x86_64.whl", hash = "sha256:a94b600b7af50e922d44b95a57981e3e35103c6e3693241a03d3ca204740bbda"}, - {file = "onnxruntime-1.17.3-cp38-cp38-win32.whl", hash = "sha256:5a335c76f9c002a8586c7f38bc20fe4b3725ced21f8ead835c3e4e507e42b2ab"}, - {file = "onnxruntime-1.17.3-cp38-cp38-win_amd64.whl", hash = "sha256:8f56a86fbd0ddc8f22696ddeda0677b041381f4168a2ca06f712ef6ec6050d6d"}, - {file = "onnxruntime-1.17.3-cp39-cp39-macosx_11_0_universal2.whl", hash = "sha256:e0ae39f5452278cd349520c296e7de3e90d62dc5b0157c6868e2748d7f28b871"}, - {file = "onnxruntime-1.17.3-cp39-cp39-manylinux_2_27_aarch64.manylinux_2_28_aarch64.whl", hash = "sha256:3ff2dc012bd930578aff5232afd2905bf16620815f36783a941aafabf94b3702"}, - {file = "onnxruntime-1.17.3-cp39-cp39-manylinux_2_27_x86_64.manylinux_2_28_x86_64.whl", hash = "sha256:cf6c37483782e4785019b56e26224a25e9b9a35b849d0169ce69189867a22bb1"}, - {file = "onnxruntime-1.17.3-cp39-cp39-win32.whl", hash = "sha256:351bf5a1140dcc43bfb8d3d1a230928ee61fcd54b0ea664c8e9a889a8e3aa515"}, - {file = "onnxruntime-1.17.3-cp39-cp39-win_amd64.whl", hash = "sha256:57a3de15778da8d6cc43fbf6cf038e1e746146300b5f0b1fbf01f6f795dc6440"}, + {file = "onnxruntime-1.18.0-cp310-cp310-macosx_11_0_universal2.whl", hash = "sha256:5a3b7993a5ecf4a90f35542a4757e29b2d653da3efe06cdd3164b91167bbe10d"}, + {file = "onnxruntime-1.18.0-cp310-cp310-manylinux_2_27_aarch64.manylinux_2_28_aarch64.whl", hash = "sha256:15b944623b2cdfe7f7945690bfb71c10a4531b51997c8320b84e7b0bb59af902"}, + {file = "onnxruntime-1.18.0-cp310-cp310-manylinux_2_27_x86_64.manylinux_2_28_x86_64.whl", hash = "sha256:2e61ce5005118064b1a0ed73ebe936bc773a102f067db34108ea6c64dd62a179"}, + {file = "onnxruntime-1.18.0-cp310-cp310-win32.whl", hash = "sha256:a4fc8a2a526eb442317d280610936a9f73deece06c7d5a91e51570860802b93f"}, + {file = "onnxruntime-1.18.0-cp310-cp310-win_amd64.whl", hash = "sha256:71ed219b768cab004e5cd83e702590734f968679bf93aa488c1a7ffbe6e220c3"}, + {file = "onnxruntime-1.18.0-cp311-cp311-macosx_11_0_universal2.whl", hash = "sha256:3d24bd623872a72a7fe2f51c103e20fcca2acfa35d48f2accd6be1ec8633d960"}, + {file = "onnxruntime-1.18.0-cp311-cp311-manylinux_2_27_aarch64.manylinux_2_28_aarch64.whl", hash = "sha256:f15e41ca9b307a12550bfd2ec93f88905d9fba12bab7e578f05138ad0ae10d7b"}, + {file = "onnxruntime-1.18.0-cp311-cp311-manylinux_2_27_x86_64.manylinux_2_28_x86_64.whl", hash = "sha256:1f45ca2887f62a7b847d526965686b2923efa72538c89b7703c7b3fe970afd59"}, + {file = "onnxruntime-1.18.0-cp311-cp311-win32.whl", hash = "sha256:9e24d9ecc8781323d9e2eeda019b4b24babc4d624e7d53f61b1fe1a929b0511a"}, + {file = "onnxruntime-1.18.0-cp311-cp311-win_amd64.whl", hash = "sha256:f8608398976ed18aef450d83777ff6f77d0b64eced1ed07a985e1a7db8ea3771"}, + {file = "onnxruntime-1.18.0-cp312-cp312-macosx_11_0_universal2.whl", hash = "sha256:f1d79941f15fc40b1ee67738b2ca26b23e0181bf0070b5fb2984f0988734698f"}, + {file = "onnxruntime-1.18.0-cp312-cp312-manylinux_2_27_aarch64.manylinux_2_28_aarch64.whl", hash = "sha256:99e8caf3a8565c853a22d323a3eebc2a81e3de7591981f085a4f74f7a60aab2d"}, + {file = "onnxruntime-1.18.0-cp312-cp312-manylinux_2_27_x86_64.manylinux_2_28_x86_64.whl", hash = "sha256:498d2b8380635f5e6ebc50ec1b45f181588927280f32390fb910301d234f97b8"}, + {file = "onnxruntime-1.18.0-cp312-cp312-win32.whl", hash = "sha256:ba7cc0ce2798a386c082aaa6289ff7e9bedc3dee622eef10e74830cff200a72e"}, + {file = "onnxruntime-1.18.0-cp312-cp312-win_amd64.whl", hash = "sha256:1fa175bd43f610465d5787ae06050c81f7ce09da2bf3e914eb282cb8eab363ef"}, + {file = "onnxruntime-1.18.0-cp38-cp38-macosx_11_0_universal2.whl", hash = "sha256:0284c579c20ec8b1b472dd190290a040cc68b6caec790edb960f065d15cf164a"}, + {file = "onnxruntime-1.18.0-cp38-cp38-manylinux_2_27_aarch64.manylinux_2_28_aarch64.whl", hash = "sha256:d47353d036d8c380558a5643ea5f7964d9d259d31c86865bad9162c3e916d1f6"}, + {file = "onnxruntime-1.18.0-cp38-cp38-manylinux_2_27_x86_64.manylinux_2_28_x86_64.whl", hash = "sha256:885509d2b9ba4b01f08f7fa28d31ee54b6477953451c7ccf124a84625f07c803"}, + {file = "onnxruntime-1.18.0-cp38-cp38-win32.whl", hash = "sha256:8614733de3695656411d71fc2f39333170df5da6c7efd6072a59962c0bc7055c"}, + {file = "onnxruntime-1.18.0-cp38-cp38-win_amd64.whl", hash = "sha256:47af3f803752fce23ea790fd8d130a47b2b940629f03193f780818622e856e7a"}, + {file = "onnxruntime-1.18.0-cp39-cp39-macosx_11_0_universal2.whl", hash = "sha256:9153eb2b4d5bbab764d0aea17adadffcfc18d89b957ad191b1c3650b9930c59f"}, + {file = "onnxruntime-1.18.0-cp39-cp39-manylinux_2_27_aarch64.manylinux_2_28_aarch64.whl", hash = "sha256:2c7fd86eca727c989bb8d9c5104f3c45f7ee45f445cc75579ebe55d6b99dfd7c"}, + {file = "onnxruntime-1.18.0-cp39-cp39-manylinux_2_27_x86_64.manylinux_2_28_x86_64.whl", hash = "sha256:ac67a4de9c1326c4d87bcbfb652c923039b8a2446bb28516219236bec3b494f5"}, + {file = "onnxruntime-1.18.0-cp39-cp39-win32.whl", hash = "sha256:6ffb445816d06497df7a6dd424b20e0b2c39639e01e7fe210e247b82d15a23b9"}, + {file = "onnxruntime-1.18.0-cp39-cp39-win_amd64.whl", hash = "sha256:46de6031cb6745f33f7eca9e51ab73e8c66037fb7a3b6b4560887c5b55ab5d5d"}, ] [package.dependencies] @@ -5524,13 +5821,13 @@ sympy = "*" [[package]] name = "openai" -version = "1.21.2" +version = "1.30.2" description = "The official Python library for the openai API" optional = false python-versions = ">=3.7.1" files = [ - {file = "openai-1.21.2-py3-none-any.whl", hash = "sha256:65f6bed84ecde0fc20e4f3b458000deb775531aa29154ff4d679e937d7e4370d"}, - {file = "openai-1.21.2.tar.gz", hash = "sha256:7b6e4d59f3686fcd94efdb2ee61052bf6c9dbb58052b5116fc0d75ba7adbf329"}, + {file = "openai-1.30.2-py3-none-any.whl", hash = "sha256:44316818fbff3845278e862a655c4c041e93d907b04eff64629c2835f29bd58e"}, + {file = "openai-1.30.2.tar.gz", hash = "sha256:f86780f40505de60fa389993d9b7f5564f20acfbe5efcabd5c853a12453af2b0"}, ] [package.dependencies] @@ -5734,20 +6031,6 @@ document = ["ase", "cmaes (>=0.10.0)", "fvcore", "lightgbm", "matplotlib (!=3.6. optional = ["boto3", "cmaes (>=0.10.0)", "google-cloud-storage", "matplotlib (!=3.6.0)", "pandas", "plotly (>=4.9.0)", "redis", "scikit-learn (>=0.24.2)", "scipy", "torch"] test = ["coverage", "fakeredis[lua]", "kaleido", "moto", "pytest", "scipy (>=1.9.2)", "torch"] -[[package]] -name = "ordered-set" -version = "4.1.0" -description = "An OrderedSet is a custom MutableSet that remembers its order, so that every" -optional = false -python-versions = ">=3.7" -files = [ - {file = "ordered-set-4.1.0.tar.gz", hash = "sha256:694a8e44c87657c59292ede72891eb91d34131f6531463aab3009191c77364a8"}, - {file = "ordered_set-4.1.0-py3-none-any.whl", hash = "sha256:046e1132c71fcf3330438a539928932caf51ddbc582496833e23de611de14562"}, -] - -[package.extras] -dev = ["black", "mypy", "pytest"] - [[package]] name = "orjson" version = "3.10.0" @@ -5872,6 +6155,7 @@ files = [ numpy = [ {version = ">=1.22.4,<2", markers = "python_version < \"3.11\""}, {version = ">=1.23.2,<2", markers = "python_version == \"3.11\""}, + {version = ">=1.26.0,<2", markers = "python_version >= \"3.12\""}, ] python-dateutil = ">=2.8.2" pytz = ">=2020.1" @@ -5903,13 +6187,13 @@ xml = ["lxml (>=4.9.2)"] [[package]] name = "pandas-stubs" -version = "2.2.1.240316" +version = "2.2.2.240514" description = "Type annotations for pandas" optional = false python-versions = ">=3.9" files = [ - {file = "pandas_stubs-2.2.1.240316-py3-none-any.whl", hash = "sha256:0126a26451a37cb893ea62357ca87ba3d181bd999ec8ba2ca5602e20207d6682"}, - {file = "pandas_stubs-2.2.1.240316.tar.gz", hash = "sha256:236a4f812fb6b1922e9607ff09e427f6d8540c421c9e5a40e3e4ddf7adac7f05"}, + {file = "pandas_stubs-2.2.2.240514-py3-none-any.whl", hash = "sha256:5d6f64d45a98bc94152a0f76fa648e598cd2b9ba72302fd34602479f0c391a53"}, + {file = "pandas_stubs-2.2.2.240514.tar.gz", hash = "sha256:85b20da44a62c80eb8389bcf4cbfe31cce1cafa8cca4bf1fc75ec45892e72ce8"}, ] [package.dependencies] @@ -5948,21 +6232,6 @@ bcrypt = ["bcrypt (>=3.1.0)"] build-docs = ["cloud-sptheme (>=1.10.1)", "sphinx (>=1.6)", "sphinxcontrib-fulltoc (>=1.2.0)"] totp = ["cryptography"] -[[package]] -name = "pcodedmp" -version = "1.2.6" -description = "A VBA p-code disassembler" -optional = false -python-versions = "*" -files = [ - {file = "pcodedmp-1.2.6-py2.py3-none-any.whl", hash = "sha256:4441f7c0ab4cbda27bd4668db3b14f36261d86e5059ce06c0828602cbe1c4278"}, - {file = "pcodedmp-1.2.6.tar.gz", hash = "sha256:025f8c809a126f45a082ffa820893e6a8d990d9d7ddb68694b5a9f0a6dbcd955"}, -] - -[package.dependencies] -oletools = ">=0.54" -win-unicode-console = {version = "*", markers = "platform_system == \"Windows\" and platform_python_implementation != \"PyPy\""} - [[package]] name = "pexpect" version = "4.9.0" @@ -6091,35 +6360,39 @@ files = [ certifi = ">=2019.11.17" tqdm = ">=4.64.1" typing-extensions = ">=3.7.4" -urllib3 = {version = ">=1.26.0", markers = "python_version >= \"3.8\" and python_version < \"3.12\""} +urllib3 = [ + {version = ">=1.26.0", markers = "python_version >= \"3.8\" and python_version < \"3.12\""}, + {version = ">=1.26.5", markers = "python_version >= \"3.12\" and python_version < \"4.0\""}, +] [package.extras] grpc = ["googleapis-common-protos (>=1.53.0)", "grpc-gateway-protoc-gen-openapiv2 (==0.1.0)", "grpcio (>=1.44.0)", "grpcio (>=1.59.0)", "lz4 (>=3.1.3)", "protobuf (>=3.20.0,<3.21.0)"] [[package]] name = "platformdirs" -version = "4.2.0" -description = "A small Python package for determining appropriate platform-specific dirs, e.g. a \"user data dir\"." +version = "4.2.2" +description = "A small Python package for determining appropriate platform-specific dirs, e.g. a `user data dir`." optional = false python-versions = ">=3.8" files = [ - {file = "platformdirs-4.2.0-py3-none-any.whl", hash = "sha256:0614df2a2f37e1a662acbd8e2b25b92ccf8632929bc6d43467e17fe89c75e068"}, - {file = "platformdirs-4.2.0.tar.gz", hash = "sha256:ef0cc731df711022c174543cb70a9b5bd22e5a9337c8624ef2c2ceb8ddad8768"}, + {file = "platformdirs-4.2.2-py3-none-any.whl", hash = "sha256:2d7a1657e36a80ea911db832a8a6ece5ee53d8de21edd5cc5879af6530b1bfee"}, + {file = "platformdirs-4.2.2.tar.gz", hash = "sha256:38b7b51f512eed9e84a22788b4bce1de17c0adb134d6becb09836e37d8654cd3"}, ] [package.extras] docs = ["furo (>=2023.9.10)", "proselint (>=0.13)", "sphinx (>=7.2.6)", "sphinx-autodoc-typehints (>=1.25.2)"] test = ["appdirs (==1.4.4)", "covdefaults (>=2.3)", "pytest (>=7.4.3)", "pytest-cov (>=4.1)", "pytest-mock (>=3.12)"] +type = ["mypy (>=1.8)"] [[package]] name = "pluggy" -version = "1.4.0" +version = "1.5.0" description = "plugin and hook calling mechanisms for python" optional = false python-versions = ">=3.8" files = [ - {file = "pluggy-1.4.0-py3-none-any.whl", hash = "sha256:7db9f7b503d67d1c5b95f59773ebb58a8c1c288129a88665838012cfb07b8981"}, - {file = "pluggy-1.4.0.tar.gz", hash = "sha256:8c85c2876142a764e5b7548e7d9a0e0ddb46f5185161049a79b7e974454223be"}, + {file = "pluggy-1.5.0-py3-none-any.whl", hash = "sha256:44e1ad92c8ca002de6377e165f3e0f1be63266ab4d554740532335b9d75ea669"}, + {file = "pluggy-1.5.0.tar.gz", hash = "sha256:2cffa88e94fdc978c4c574f15f9e59b7f4201d439195c3715ca9e2486f1d0cf1"}, ] [package.extras] @@ -6147,13 +6420,13 @@ tests = ["pytest (>=5.4.1)", "pytest-cov (>=2.8.1)", "pytest-mypy (>=0.8.0)", "p [[package]] name = "postgrest" -version = "0.16.3" +version = "0.16.4" description = "PostgREST client for Python. This library provides an ORM interface to PostgREST." optional = false python-versions = "<4.0,>=3.8" files = [ - {file = "postgrest-0.16.3-py3-none-any.whl", hash = "sha256:30c8fb54fd37cec929531fc43d05e12df318830f572a1b93491411fe411c8cbd"}, - {file = "postgrest-0.16.3.tar.gz", hash = "sha256:fd3f4646d17cf5321049d00b7d0cdea5e84285cb28bd6acdab99487081f68794"}, + {file = "postgrest-0.16.4-py3-none-any.whl", hash = "sha256:304425381eb38e31018832a524943d7d1f07687be80c3c7397d8ae69ca56cb88"}, + {file = "postgrest-0.16.4.tar.gz", hash = "sha256:e16973155be1464101d18a51cc060707cd177b918f4b01ea8afa51746ca870ef"}, ] [package.dependencies] @@ -6185,6 +6458,24 @@ dev = ["black", "flake8", "flake8-print", "isort", "pre-commit"] sentry = ["django", "sentry-sdk"] test = ["coverage", "flake8", "freezegun (==0.3.15)", "mock (>=2.0.0)", "pylint", "pytest", "pytest-timeout"] +[[package]] +name = "pre-commit" +version = "3.7.1" +description = "A framework for managing and maintaining multi-language pre-commit hooks." +optional = false +python-versions = ">=3.9" +files = [ + {file = "pre_commit-3.7.1-py2.py3-none-any.whl", hash = "sha256:fae36fd1d7ad7d6a5a1c0b0d5adb2ed1a3bda5a21bf6c3e5372073d7a11cd4c5"}, + {file = "pre_commit-3.7.1.tar.gz", hash = "sha256:8ca3ad567bc78a4972a3f1a477e94a79d4597e8140a6e0b651c5e33899c3654a"}, +] + +[package.dependencies] +cfgv = ">=2.0.0" +identify = ">=1.0.0" +nodeenv = ">=0.11.1" +pyyaml = ">=5.1" +virtualenv = ">=20.10.0" + [[package]] name = "prometheus-client" version = "0.20.0" @@ -6280,13 +6571,13 @@ test = ["enum34", "ipaddress", "mock", "pywin32", "wmi"] [[package]] name = "psycopg" -version = "3.1.18" +version = "3.1.19" description = "PostgreSQL database adapter for Python" optional = false python-versions = ">=3.7" files = [ - {file = "psycopg-3.1.18-py3-none-any.whl", hash = "sha256:4d5a0a5a8590906daa58ebd5f3cfc34091377354a1acced269dd10faf55da60e"}, - {file = "psycopg-3.1.18.tar.gz", hash = "sha256:31144d3fb4c17d78094d9e579826f047d4af1da6a10427d91dfcfb6ecdf6f12b"}, + {file = "psycopg-3.1.19-py3-none-any.whl", hash = "sha256:dca5e5521c859f6606686432ae1c94e8766d29cc91f2ee595378c510cc5b0731"}, + {file = "psycopg-3.1.19.tar.gz", hash = "sha256:92d7b78ad82426cdcf1a0440678209faa890c6e1721361c2f8901f0dccd62961"}, ] [package.dependencies] @@ -6294,8 +6585,8 @@ typing-extensions = ">=4.1" tzdata = {version = "*", markers = "sys_platform == \"win32\""} [package.extras] -binary = ["psycopg-binary (==3.1.18)"] -c = ["psycopg-c (==3.1.18)"] +binary = ["psycopg-binary (==3.1.19)"] +c = ["psycopg-c (==3.1.19)"] dev = ["black (>=24.1.0)", "codespell (>=2.2)", "dnspython (>=2.1)", "flake8 (>=4.0)", "mypy (>=1.4.1)", "types-setuptools (>=57.4)", "wheel (>=0.37)"] docs = ["Sphinx (>=5.0)", "furo (==2022.6.21)", "sphinx-autobuild (>=2021.3.14)", "sphinx-autodoc-typehints (>=1.12)"] pool = ["psycopg-pool"] @@ -6303,76 +6594,74 @@ test = ["anyio (>=3.6.2,<4.0)", "mypy (>=1.4.1)", "pproxy (>=2.7)", "pytest (>=6 [[package]] name = "psycopg-binary" -version = "3.1.18" +version = "3.1.19" description = "PostgreSQL database adapter for Python -- C optimisation distribution" optional = false python-versions = ">=3.7" files = [ - {file = "psycopg_binary-3.1.18-cp310-cp310-macosx_10_9_x86_64.whl", hash = "sha256:5c323103dfa663b88204cf5f028e83c77d7a715f9b6f51d2bbc8184b99ddd90a"}, - {file = "psycopg_binary-3.1.18-cp310-cp310-macosx_11_0_arm64.whl", hash = "sha256:887f8d856c91510148be942c7acd702ccf761a05f59f8abc123c22ab77b5a16c"}, - {file = "psycopg_binary-3.1.18-cp310-cp310-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:d322ba72cde4ca2eefc2196dad9ad7e52451acd2f04e3688d590290625d0c970"}, - {file = "psycopg_binary-3.1.18-cp310-cp310-manylinux_2_17_i686.manylinux2014_i686.whl", hash = "sha256:489aa4fe5a0b653b68341e9e44af247dedbbc655326854aa34c163ef1bcb3143"}, - {file = "psycopg_binary-3.1.18-cp310-cp310-manylinux_2_17_ppc64le.manylinux2014_ppc64le.whl", hash = "sha256:55ff0948457bfa8c0d35c46e3a75193906d1c275538877ba65907fd67aa059ad"}, - {file = "psycopg_binary-3.1.18-cp310-cp310-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:b15e3653c82384b043d820fc637199b5c6a36b37fa4a4943e0652785bb2bad5d"}, - {file = "psycopg_binary-3.1.18-cp310-cp310-musllinux_1_1_aarch64.whl", hash = "sha256:f8ff3bc08b43f36fdc24fedb86d42749298a458c4724fb588c4d76823ac39f54"}, - {file = "psycopg_binary-3.1.18-cp310-cp310-musllinux_1_1_i686.whl", hash = "sha256:1729d0e3dfe2546d823841eb7a3d003144189d6f5e138ee63e5227f8b75276a5"}, - {file = "psycopg_binary-3.1.18-cp310-cp310-musllinux_1_1_ppc64le.whl", hash = "sha256:13bcd3742112446037d15e360b27a03af4b5afcf767f5ee374ef8f5dd7571b31"}, - {file = "psycopg_binary-3.1.18-cp310-cp310-musllinux_1_1_x86_64.whl", hash = "sha256:320047e3d3554b857e16c2b6b615a85e0db6a02426f4d203a4594a2f125dfe57"}, - {file = "psycopg_binary-3.1.18-cp310-cp310-win_amd64.whl", hash = "sha256:888a72c2aca4316ca6d4a619291b805677bae99bba2f6e31a3c18424a48c7e4d"}, - {file = "psycopg_binary-3.1.18-cp311-cp311-macosx_10_9_x86_64.whl", hash = "sha256:4e4de16a637ec190cbee82e0c2dc4860fed17a23a35f7a1e6dc479a5c6876722"}, - {file = "psycopg_binary-3.1.18-cp311-cp311-macosx_11_0_arm64.whl", hash = "sha256:6432047b8b24ef97e3fbee1d1593a0faaa9544c7a41a2c67d1f10e7621374c83"}, - {file = "psycopg_binary-3.1.18-cp311-cp311-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:9d684227ef8212e27da5f2aff9d4d303cc30b27ac1702d4f6881935549486dd5"}, - {file = "psycopg_binary-3.1.18-cp311-cp311-manylinux_2_17_i686.manylinux2014_i686.whl", hash = "sha256:67284e2e450dc7a9e4d76e78c0bd357dc946334a3d410defaeb2635607f632cd"}, - {file = "psycopg_binary-3.1.18-cp311-cp311-manylinux_2_17_ppc64le.manylinux2014_ppc64le.whl", hash = "sha256:1c9b6bd7fb5c6638cb32469674707649b526acfe786ba6d5a78ca4293d87bae4"}, - {file = "psycopg_binary-3.1.18-cp311-cp311-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:7121acc783c4e86d2d320a7fb803460fab158a7f0a04c5e8c5d49065118c1e73"}, - {file = "psycopg_binary-3.1.18-cp311-cp311-musllinux_1_1_aarch64.whl", hash = "sha256:e28ff8f3de7b56588c2a398dc135fd9f157d12c612bd3daa7e6ba9872337f6f5"}, - {file = "psycopg_binary-3.1.18-cp311-cp311-musllinux_1_1_i686.whl", hash = "sha256:c84a0174109f329eeda169004c7b7ca2e884a6305acab4a39600be67f915ed38"}, - {file = "psycopg_binary-3.1.18-cp311-cp311-musllinux_1_1_ppc64le.whl", hash = "sha256:531381f6647fc267383dca88dbe8a70d0feff433a8e3d0c4939201fea7ae1b82"}, - {file = "psycopg_binary-3.1.18-cp311-cp311-musllinux_1_1_x86_64.whl", hash = "sha256:b293e01057e63c3ac0002aa132a1071ce0fdb13b9ee2b6b45d3abdb3525c597d"}, - {file = "psycopg_binary-3.1.18-cp311-cp311-win_amd64.whl", hash = "sha256:780a90bcb69bf27a8b08bc35b958e974cb6ea7a04cdec69e737f66378a344d68"}, - {file = "psycopg_binary-3.1.18-cp312-cp312-macosx_10_9_x86_64.whl", hash = "sha256:87dd9154b757a5fbf6d590f6f6ea75f4ad7b764a813ae04b1d91a70713f414a1"}, - {file = "psycopg_binary-3.1.18-cp312-cp312-macosx_11_0_arm64.whl", hash = "sha256:f876ebbf92db70125f6375f91ab4bc6b27648aa68f90d661b1fc5affb4c9731c"}, - {file = "psycopg_binary-3.1.18-cp312-cp312-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:258d2f0cb45e4574f8b2fe7c6d0a0e2eb58903a4fd1fbaf60954fba82d595ab7"}, - {file = "psycopg_binary-3.1.18-cp312-cp312-manylinux_2_17_i686.manylinux2014_i686.whl", hash = "sha256:bd27f713f2e5ef3fd6796e66c1a5203a27a30ecb847be27a78e1df8a9a5ae68c"}, - {file = "psycopg_binary-3.1.18-cp312-cp312-manylinux_2_17_ppc64le.manylinux2014_ppc64le.whl", hash = "sha256:c38a4796abf7380f83b1653c2711cb2449dd0b2e5aca1caa75447d6fa5179c69"}, - {file = "psycopg_binary-3.1.18-cp312-cp312-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:b2f7f95746efd1be2dc240248cc157f4315db3fd09fef2adfcc2a76e24aa5741"}, - {file = "psycopg_binary-3.1.18-cp312-cp312-musllinux_1_1_aarch64.whl", hash = "sha256:4085f56a8d4fc8b455e8f44380705c7795be5317419aa5f8214f315e4205d804"}, - {file = "psycopg_binary-3.1.18-cp312-cp312-musllinux_1_1_i686.whl", hash = "sha256:2e2484ae835dedc80cdc7f1b1a939377dc967fed862262cfd097aa9f50cade46"}, - {file = "psycopg_binary-3.1.18-cp312-cp312-musllinux_1_1_ppc64le.whl", hash = "sha256:3c2b039ae0c45eee4cd85300ef802c0f97d0afc78350946a5d0ec77dd2d7e834"}, - {file = "psycopg_binary-3.1.18-cp312-cp312-musllinux_1_1_x86_64.whl", hash = "sha256:8f54978c4b646dec77fefd8485fa82ec1a87807f334004372af1aaa6de9539a5"}, - {file = "psycopg_binary-3.1.18-cp312-cp312-win_amd64.whl", hash = "sha256:9ffcbbd389e486d3fd83d30107bbf8b27845a295051ccabde240f235d04ed921"}, - {file = "psycopg_binary-3.1.18-cp37-cp37m-macosx_10_9_x86_64.whl", hash = "sha256:c76659ae29a84f2c14f56aad305dd00eb685bd88f8c0a3281a9a4bc6bd7d2aa7"}, - {file = "psycopg_binary-3.1.18-cp37-cp37m-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:3c7afcd6f1d55992f26d9ff7b0bd4ee6b475eb43aa3f054d67d32e09f18b0065"}, - {file = "psycopg_binary-3.1.18-cp37-cp37m-manylinux_2_17_i686.manylinux2014_i686.whl", hash = "sha256:639dd78ac09b144b0119076783cb64e1128cc8612243e9701d1503c816750b2e"}, - {file = "psycopg_binary-3.1.18-cp37-cp37m-manylinux_2_17_ppc64le.manylinux2014_ppc64le.whl", hash = "sha256:e1cf59e0bb12e031a48bb628aae32df3d0c98fd6c759cb89f464b1047f0ca9c8"}, - {file = "psycopg_binary-3.1.18-cp37-cp37m-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:e262398e5d51563093edf30612cd1e20fedd932ad0994697d7781ca4880cdc3d"}, - {file = "psycopg_binary-3.1.18-cp37-cp37m-musllinux_1_1_aarch64.whl", hash = "sha256:59701118c7d8842e451f1e562d08e8708b3f5d14974eefbce9374badd723c4ae"}, - {file = "psycopg_binary-3.1.18-cp37-cp37m-musllinux_1_1_i686.whl", hash = "sha256:dea4a59da7850192fdead9da888e6b96166e90608cf39e17b503f45826b16f84"}, - {file = "psycopg_binary-3.1.18-cp37-cp37m-musllinux_1_1_ppc64le.whl", hash = "sha256:4575da95fc441244a0e2ebaf33a2b2f74164603341d2046b5cde0a9aa86aa7e2"}, - {file = "psycopg_binary-3.1.18-cp37-cp37m-musllinux_1_1_x86_64.whl", hash = "sha256:812726266ab96de681f2c7dbd6b734d327f493a78357fcc16b2ac86ff4f4e080"}, - {file = "psycopg_binary-3.1.18-cp37-cp37m-win_amd64.whl", hash = "sha256:3e7ce4d988112ca6c75765c7f24c83bdc476a6a5ce00878df6c140ca32c3e16d"}, - {file = "psycopg_binary-3.1.18-cp38-cp38-macosx_10_9_x86_64.whl", hash = "sha256:02bd4da45d5ee9941432e2e9bf36fa71a3ac21c6536fe7366d1bd3dd70d6b1e7"}, - {file = "psycopg_binary-3.1.18-cp38-cp38-macosx_11_0_arm64.whl", hash = "sha256:39242546383f6b97032de7af30edb483d237a0616f6050512eee7b218a2aa8ee"}, - {file = "psycopg_binary-3.1.18-cp38-cp38-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:d46ae44d66bf6058a812467f6ae84e4e157dee281bfb1cfaeca07dee07452e85"}, - {file = "psycopg_binary-3.1.18-cp38-cp38-manylinux_2_17_i686.manylinux2014_i686.whl", hash = "sha256:ad35ac7fd989184bf4d38a87decfb5a262b419e8ba8dcaeec97848817412c64a"}, - {file = "psycopg_binary-3.1.18-cp38-cp38-manylinux_2_17_ppc64le.manylinux2014_ppc64le.whl", hash = "sha256:247474af262bdd5559ee6e669926c4f23e9cf53dae2d34c4d991723c72196404"}, - {file = "psycopg_binary-3.1.18-cp38-cp38-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:6ebecbf2406cd6875bdd2453e31067d1bd8efe96705a9489ef37e93b50dc6f09"}, - {file = "psycopg_binary-3.1.18-cp38-cp38-musllinux_1_1_aarch64.whl", hash = "sha256:1859aeb2133f5ecdd9cbcee155f5e38699afc06a365f903b1512c765fd8d457e"}, - {file = "psycopg_binary-3.1.18-cp38-cp38-musllinux_1_1_i686.whl", hash = "sha256:da917f6df8c6b2002043193cb0d74cc173b3af7eb5800ad69c4e1fbac2a71c30"}, - {file = "psycopg_binary-3.1.18-cp38-cp38-musllinux_1_1_ppc64le.whl", hash = "sha256:9e24e7b6a68a51cc3b162d0339ae4e1263b253e887987d5c759652f5692b5efe"}, - {file = "psycopg_binary-3.1.18-cp38-cp38-musllinux_1_1_x86_64.whl", hash = "sha256:e252d66276c992319ed6cd69a3ffa17538943954075051e992143ccbf6dc3d3e"}, - {file = "psycopg_binary-3.1.18-cp38-cp38-win_amd64.whl", hash = "sha256:5d6e860edf877d4413e4a807e837d55e3a7c7df701e9d6943c06e460fa6c058f"}, - {file = "psycopg_binary-3.1.18-cp39-cp39-macosx_10_9_x86_64.whl", hash = "sha256:eea5f14933177ffe5c40b200f04f814258cc14b14a71024ad109f308e8bad414"}, - {file = "psycopg_binary-3.1.18-cp39-cp39-macosx_11_0_arm64.whl", hash = "sha256:824a1bfd0db96cc6bef2d1e52d9e0963f5bf653dd5bc3ab519a38f5e6f21c299"}, - {file = "psycopg_binary-3.1.18-cp39-cp39-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:a87e9eeb80ce8ec8c2783f29bce9a50bbcd2e2342a340f159c3326bf4697afa1"}, - {file = "psycopg_binary-3.1.18-cp39-cp39-manylinux_2_17_i686.manylinux2014_i686.whl", hash = "sha256:91074f78a9f890af5f2c786691575b6b93a4967ad6b8c5a90101f7b8c1a91d9c"}, - {file = "psycopg_binary-3.1.18-cp39-cp39-manylinux_2_17_ppc64le.manylinux2014_ppc64le.whl", hash = "sha256:e05f6825f8db4428782135e6986fec79b139210398f3710ed4aa6ef41473c008"}, - {file = "psycopg_binary-3.1.18-cp39-cp39-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:0f68ac2364a50d4cf9bb803b4341e83678668f1881a253e1224574921c69868c"}, - {file = "psycopg_binary-3.1.18-cp39-cp39-musllinux_1_1_aarch64.whl", hash = "sha256:7ac1785d67241d5074f8086705fa68e046becea27964267ab3abd392481d7773"}, - {file = "psycopg_binary-3.1.18-cp39-cp39-musllinux_1_1_i686.whl", hash = "sha256:cd2a9f7f0d4dacc5b9ce7f0e767ae6cc64153264151f50698898c42cabffec0c"}, - {file = "psycopg_binary-3.1.18-cp39-cp39-musllinux_1_1_ppc64le.whl", hash = "sha256:3e4b0bb91da6f2238dbd4fbb4afc40dfb4f045bb611b92fce4d381b26413c686"}, - {file = "psycopg_binary-3.1.18-cp39-cp39-musllinux_1_1_x86_64.whl", hash = "sha256:74e498586b72fb819ca8ea82107747d0cb6e00ae685ea6d1ab3f929318a8ce2d"}, - {file = "psycopg_binary-3.1.18-cp39-cp39-win_amd64.whl", hash = "sha256:d4422af5232699f14b7266a754da49dc9bcd45eba244cf3812307934cd5d6679"}, + {file = "psycopg_binary-3.1.19-cp310-cp310-macosx_10_9_x86_64.whl", hash = "sha256:7204818f05151dd08f8f851defb01972ec9d2cc925608eb0de232563f203f354"}, + {file = "psycopg_binary-3.1.19-cp310-cp310-macosx_11_0_arm64.whl", hash = "sha256:6d4e67fd86758dbeac85641419a54f84d74495a8683b58ad5dfad08b7fc37a8f"}, + {file = "psycopg_binary-3.1.19-cp310-cp310-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:e12173e34b176e93ad2da913de30f774d5119c2d4d4640c6858d2d77dfa6c9bf"}, + {file = "psycopg_binary-3.1.19-cp310-cp310-manylinux_2_17_i686.manylinux2014_i686.whl", hash = "sha256:052f5193304066318853b4b2e248f523c8f52b371fc4e95d4ef63baee3f30955"}, + {file = "psycopg_binary-3.1.19-cp310-cp310-manylinux_2_17_ppc64le.manylinux2014_ppc64le.whl", hash = "sha256:29008f3f8977f600b8a7fb07c2e041b01645b08121760609cc45e861a0364dc9"}, + {file = "psycopg_binary-3.1.19-cp310-cp310-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:7c6a9a651a08d876303ed059c9553df18b3c13c3406584a70a8f37f1a1fe2709"}, + {file = "psycopg_binary-3.1.19-cp310-cp310-musllinux_1_1_aarch64.whl", hash = "sha256:91a645e6468c4f064b7f4f3b81074bdd68fe5aa2b8c5107de15dcd85ba6141be"}, + {file = "psycopg_binary-3.1.19-cp310-cp310-musllinux_1_1_i686.whl", hash = "sha256:5c6956808fd5cf0576de5a602243af8e04594b25b9a28675feddc71c5526410a"}, + {file = "psycopg_binary-3.1.19-cp310-cp310-musllinux_1_1_ppc64le.whl", hash = "sha256:1622ca27d5a7a98f7d8f35e8b146dc7efda4a4b6241d2edf7e076bd6bcecbeb4"}, + {file = "psycopg_binary-3.1.19-cp310-cp310-musllinux_1_1_x86_64.whl", hash = "sha256:a100482950a55228f648bd382bb71bfaff520002f29845274fccbbf02e28bd52"}, + {file = "psycopg_binary-3.1.19-cp310-cp310-win_amd64.whl", hash = "sha256:955ca8905c0251fc4af7ce0a20999e824a25652f53a558ab548b60969f1f368e"}, + {file = "psycopg_binary-3.1.19-cp311-cp311-macosx_10_9_x86_64.whl", hash = "sha256:1cf49e91dcf699b8a449944ed898ef1466b39b92720613838791a551bc8f587a"}, + {file = "psycopg_binary-3.1.19-cp311-cp311-macosx_11_0_arm64.whl", hash = "sha256:964c307e400c5f33fa762ba1e19853e048814fcfbd9679cc923431adb7a2ead2"}, + {file = "psycopg_binary-3.1.19-cp311-cp311-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:3433924e1b14074798331dc2bfae2af452ed7888067f2fc145835704d8981b15"}, + {file = "psycopg_binary-3.1.19-cp311-cp311-manylinux_2_17_i686.manylinux2014_i686.whl", hash = "sha256:00879d4c6be4b3afc510073f48a5e960f797200e261ab3d9bd9b7746a08c669d"}, + {file = "psycopg_binary-3.1.19-cp311-cp311-manylinux_2_17_ppc64le.manylinux2014_ppc64le.whl", hash = "sha256:34a6997c80f86d3dd80a4f078bb3b200079c47eeda4fd409d8899b883c90d2ac"}, + {file = "psycopg_binary-3.1.19-cp311-cp311-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:0106e42b481677c41caa69474fe530f786dcef88b11b70000f0e45a03534bc8f"}, + {file = "psycopg_binary-3.1.19-cp311-cp311-musllinux_1_1_aarch64.whl", hash = "sha256:81efe09ba27533e35709905c3061db4dc9fb814f637360578d065e2061fbb116"}, + {file = "psycopg_binary-3.1.19-cp311-cp311-musllinux_1_1_i686.whl", hash = "sha256:d312d6dddc18d9c164e1893706269c293cba1923118349d375962b1188dafb01"}, + {file = "psycopg_binary-3.1.19-cp311-cp311-musllinux_1_1_ppc64le.whl", hash = "sha256:bfd2c734da9950f7afaad5f132088e0e1478f32f042881fca6651bb0c8d14206"}, + {file = "psycopg_binary-3.1.19-cp311-cp311-musllinux_1_1_x86_64.whl", hash = "sha256:8a732610a5a6b4f06dadcf9288688a8ff202fd556d971436a123b7adb85596e2"}, + {file = "psycopg_binary-3.1.19-cp311-cp311-win_amd64.whl", hash = "sha256:321814a9a3ad785855a821b842aba08ca1b7de7dfb2979a2f0492dca9ec4ae70"}, + {file = "psycopg_binary-3.1.19-cp312-cp312-macosx_10_9_x86_64.whl", hash = "sha256:4aa0ca13bb8a725bb6d12c13999217fd5bc8b86a12589f28a74b93e076fbb959"}, + {file = "psycopg_binary-3.1.19-cp312-cp312-macosx_11_0_arm64.whl", hash = "sha256:469424e354ebcec949aa6aa30e5a9edc352a899d9a68ad7a48f97df83cc914cf"}, + {file = "psycopg_binary-3.1.19-cp312-cp312-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:b04f5349313529ae1f1c42fe1aa0443faaf50fdf12d13866c2cc49683bfa53d0"}, + {file = "psycopg_binary-3.1.19-cp312-cp312-manylinux_2_17_i686.manylinux2014_i686.whl", hash = "sha256:959feabddc7fffac89b054d6f23f3b3c62d7d3c90cd414a02e3747495597f150"}, + {file = "psycopg_binary-3.1.19-cp312-cp312-manylinux_2_17_ppc64le.manylinux2014_ppc64le.whl", hash = "sha256:e9da624a6ca4bc5f7fa1f03f8485446b5b81d5787b6beea2b4f8d9dbef878ad7"}, + {file = "psycopg_binary-3.1.19-cp312-cp312-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:c1823221a6b96e38b15686170d4fc5b36073efcb87cce7d3da660440b50077f6"}, + {file = "psycopg_binary-3.1.19-cp312-cp312-musllinux_1_1_aarch64.whl", hash = "sha256:866db42f986298f0cf15d805225eb8df2228bf19f7997d7f1cb5f388cbfc6a0f"}, + {file = "psycopg_binary-3.1.19-cp312-cp312-musllinux_1_1_i686.whl", hash = "sha256:738c34657305b5973af6dbb6711b07b179dfdd21196d60039ca30a74bafe9648"}, + {file = "psycopg_binary-3.1.19-cp312-cp312-musllinux_1_1_ppc64le.whl", hash = "sha256:fb9758473200384a04374d0e0cac6f451218ff6945a024f65a1526802c34e56e"}, + {file = "psycopg_binary-3.1.19-cp312-cp312-musllinux_1_1_x86_64.whl", hash = "sha256:0e991632777e217953ac960726158987da684086dd813ac85038c595e7382c91"}, + {file = "psycopg_binary-3.1.19-cp312-cp312-win_amd64.whl", hash = "sha256:1d87484dd42c8783c44a30400949efb3d81ef2487eaa7d64d1c54df90cf8b97a"}, + {file = "psycopg_binary-3.1.19-cp37-cp37m-macosx_10_9_x86_64.whl", hash = "sha256:d1d1723d7449c12bb61aca7eb6e0c6ab2863cd8dc0019273cc4d4a1982f84bdb"}, + {file = "psycopg_binary-3.1.19-cp37-cp37m-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:e538a8671005641fa195eab962f85cf0504defbd3b548c4c8fc27102a59f687b"}, + {file = "psycopg_binary-3.1.19-cp37-cp37m-manylinux_2_17_i686.manylinux2014_i686.whl", hash = "sha256:c50592bc8517092f40979e4a5d934f96a1737a77724bb1d121eb78b614b30fc8"}, + {file = "psycopg_binary-3.1.19-cp37-cp37m-manylinux_2_17_ppc64le.manylinux2014_ppc64le.whl", hash = "sha256:95f16ae82bc242b76cd3c3e5156441e2bd85ff9ec3a9869d750aad443e46073c"}, + {file = "psycopg_binary-3.1.19-cp37-cp37m-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:aebd1e98e865e9a28ce0cb2c25b7dfd752f0d1f0a423165b55cd32a431dcc0f4"}, + {file = "psycopg_binary-3.1.19-cp37-cp37m-musllinux_1_1_aarch64.whl", hash = "sha256:49cd7af7d49e438a39593d1dd8cab106a1912536c2b78a4d814ebdff2786094e"}, + {file = "psycopg_binary-3.1.19-cp37-cp37m-musllinux_1_1_i686.whl", hash = "sha256:affebd61aa3b7a8880fd4ac3ee94722940125ff83ff485e1a7c76be9adaabb38"}, + {file = "psycopg_binary-3.1.19-cp37-cp37m-musllinux_1_1_ppc64le.whl", hash = "sha256:d1bac282f140fa092f2bbb6c36ed82270b4a21a6fc55d4b16748ed9f55e50fdb"}, + {file = "psycopg_binary-3.1.19-cp37-cp37m-musllinux_1_1_x86_64.whl", hash = "sha256:1285aa54449e362b1d30d92b2dc042ad3ee80f479cc4e323448d0a0a8a1641fa"}, + {file = "psycopg_binary-3.1.19-cp37-cp37m-win_amd64.whl", hash = "sha256:6cff31af8155dc9ee364098a328bab688c887c732c66b8d027e5b03818ca0287"}, + {file = "psycopg_binary-3.1.19-cp38-cp38-macosx_10_9_x86_64.whl", hash = "sha256:d9b689c4a17dd3130791dcbb8c30dbf05602f7c2d56c792e193fb49adc7bf5f8"}, + {file = "psycopg_binary-3.1.19-cp38-cp38-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:017518bd2de4851adc826a224fb105411e148ad845e11355edd6786ba3dfedf5"}, + {file = "psycopg_binary-3.1.19-cp38-cp38-manylinux_2_17_i686.manylinux2014_i686.whl", hash = "sha256:c35fd811f339a3cbe7f9b54b2d9a5e592e57426c6cc1051632a62c59c4810208"}, + {file = "psycopg_binary-3.1.19-cp38-cp38-manylinux_2_17_ppc64le.manylinux2014_ppc64le.whl", hash = "sha256:38ed45ec9673709bfa5bc17f140e71dd4cca56d4e58ef7fd50d5a5043a4f55c6"}, + {file = "psycopg_binary-3.1.19-cp38-cp38-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:433f1c256108f9e26f480a8cd6ddb0fb37dbc87d7f5a97e4540a9da9b881f23f"}, + {file = "psycopg_binary-3.1.19-cp38-cp38-musllinux_1_1_aarch64.whl", hash = "sha256:ed61e43bf5dc8d0936daf03a19fef3168d64191dbe66483f7ad08c4cea0bc36b"}, + {file = "psycopg_binary-3.1.19-cp38-cp38-musllinux_1_1_i686.whl", hash = "sha256:4ae8109ff9fdf1fa0cb87ab6645298693fdd2666a7f5f85660df88f6965e0bb7"}, + {file = "psycopg_binary-3.1.19-cp38-cp38-musllinux_1_1_ppc64le.whl", hash = "sha256:a53809ee02e3952fae7977c19b30fd828bd117b8f5edf17a3a94212feb57faaf"}, + {file = "psycopg_binary-3.1.19-cp38-cp38-musllinux_1_1_x86_64.whl", hash = "sha256:9d39d5ffc151fb33bcd55b99b0e8957299c0b1b3e5a1a5f4399c1287ef0051a9"}, + {file = "psycopg_binary-3.1.19-cp38-cp38-win_amd64.whl", hash = "sha256:e14bc8250000921fcccd53722f86b3b3d1b57db901e206e49e2ab2afc5919c2d"}, + {file = "psycopg_binary-3.1.19-cp39-cp39-macosx_10_9_x86_64.whl", hash = "sha256:cd88c5cea4efe614d5004fb5f5dcdea3d7d59422be796689e779e03363102d24"}, + {file = "psycopg_binary-3.1.19-cp39-cp39-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:621a814e60825162d38760c66351b4df679fd422c848b7c2f86ad399bff27145"}, + {file = "psycopg_binary-3.1.19-cp39-cp39-manylinux_2_17_i686.manylinux2014_i686.whl", hash = "sha256:46e50c05952b59a214e27d3606f6d510aaa429daed898e16b8a37bfbacc81acc"}, + {file = "psycopg_binary-3.1.19-cp39-cp39-manylinux_2_17_ppc64le.manylinux2014_ppc64le.whl", hash = "sha256:03354a9db667c27946e70162cb0042c3929154167f3678a30d23cebfe0ad55b5"}, + {file = "psycopg_binary-3.1.19-cp39-cp39-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:703c2f3b79037581afec7baa2bdbcb0a1787f1758744a7662099b0eca2d721cb"}, + {file = "psycopg_binary-3.1.19-cp39-cp39-musllinux_1_1_aarch64.whl", hash = "sha256:6469ebd9e93327e9f5f36dcf8692fb1e7aeaf70087c1c15d4f2c020e0be3a891"}, + {file = "psycopg_binary-3.1.19-cp39-cp39-musllinux_1_1_i686.whl", hash = "sha256:85bca9765c04b6be90cb46e7566ffe0faa2d7480ff5c8d5e055ac427f039fd24"}, + {file = "psycopg_binary-3.1.19-cp39-cp39-musllinux_1_1_ppc64le.whl", hash = "sha256:a836610d5c75e9cff98b9fdb3559c007c785c09eaa84a60d5d10ef6f85f671e8"}, + {file = "psycopg_binary-3.1.19-cp39-cp39-musllinux_1_1_x86_64.whl", hash = "sha256:ef8de7a1d9fb3518cc6b58e3c80b75a824209ad52b90c542686c912db8553dad"}, + {file = "psycopg_binary-3.1.19-cp39-cp39-win_amd64.whl", hash = "sha256:76fcd33342f38e35cd6b5408f1bc117d55ab8b16e5019d99b6d3ce0356c51717"}, ] [[package]] @@ -6625,13 +6914,13 @@ pyasn1 = ">=0.4.6,<0.7.0" [[package]] name = "pyautogen" -version = "0.2.25" +version = "0.2.27" description = "Enabling Next-Gen LLM Applications via Multi-Agent Conversation Framework" optional = false python-versions = "<3.13,>=3.8" files = [ - {file = "pyautogen-0.2.25-py3-none-any.whl", hash = "sha256:a17090f445d3af969ce7440686866333b43321067a68f9bd56c497eea0c8e750"}, - {file = "pyautogen-0.2.25.tar.gz", hash = "sha256:3cfff3e13bcb13a1bddc322effd4715670b4c3ba3f8d0548a7329154c8ac0ab6"}, + {file = "pyautogen-0.2.27-py3-none-any.whl", hash = "sha256:9eb5c38544a0f79475c43442f9c5af2623165e32a7b9dd24ec141492f603a630"}, + {file = "pyautogen-0.2.27.tar.gz", hash = "sha256:a8939d14fed1893109738a4c34ce490bfc6d869fd8a4ecb22932b86c81d9a5a5"}, ] [package.dependencies] @@ -6656,8 +6945,10 @@ lmm = ["pillow", "replicate"] mathchat = ["pydantic (==1.10.9)", "sympy", "wolframalpha"] redis = ["redis"] retrievechat = ["beautifulsoup4", "chromadb", "ipython", "markdownify", "pypdf", "sentence-transformers"] +retrievechat-pgvector = ["beautifulsoup4", "chromadb", "ipython", "markdownify", "pgvector (>=0.2.5)", "psycopg (>=3.1.18)", "pypdf", "sentence-transformers"] +retrievechat-qdrant = ["beautifulsoup4", "chromadb", "ipython", "markdownify", "pypdf", "qdrant-client[fastembed]", "sentence-transformers"] teachable = ["chromadb"] -test = ["coverage (>=5.3)", "ipykernel", "nbconvert", "nbformat", "pandas", "pre-commit", "pytest (>=6.1.1,<8)", "pytest-asyncio"] +test = ["ipykernel", "nbconvert", "nbformat", "pandas", "pre-commit", "pytest (>=6.1.1,<8)", "pytest-asyncio", "pytest-cov (>=5)"] types = ["ipykernel (>=6.29.0)", "jupyter-client (>=8.6.0)", "jupyter-kernel-gateway", "mypy (==1.9.0)", "pytest (>=6.1.1,<8)", "requests", "websocket-client"] websockets = ["websockets (>=12.0,<13)"] websurfer = ["beautifulsoup4", "markdownify", "pathvalidate", "pdfminer.six"] @@ -6716,18 +7007,18 @@ files = [ [[package]] name = "pydantic" -version = "2.5.0" +version = "2.7.1" description = "Data validation using Python type hints" optional = false -python-versions = ">=3.7" +python-versions = ">=3.8" files = [ - {file = "pydantic-2.5.0-py3-none-any.whl", hash = "sha256:7ce6e766c456ad026fe5712f7bcf036efc34bd5d107b3e669ef7ea01b3a9050c"}, - {file = "pydantic-2.5.0.tar.gz", hash = "sha256:69bd6fb62d2d04b7055f59a396993486a2ee586c43a0b89231ce0000de07627c"}, + {file = "pydantic-2.7.1-py3-none-any.whl", hash = "sha256:e029badca45266732a9a79898a15ae2e8b14840b1eabbb25844be28f0b33f3d5"}, + {file = "pydantic-2.7.1.tar.gz", hash = "sha256:e9dbb5eada8abe4d9ae5f46b9939aead650cd2b68f249bb3a8139dbe125803cc"}, ] [package.dependencies] annotated-types = ">=0.4.0" -pydantic-core = "2.14.1" +pydantic-core = "2.18.2" typing-extensions = ">=4.6.1" [package.extras] @@ -6735,112 +7026,90 @@ email = ["email-validator (>=2.0.0)"] [[package]] name = "pydantic-core" -version = "2.14.1" -description = "" +version = "2.18.2" +description = "Core functionality for Pydantic validation and serialization" optional = false -python-versions = ">=3.7" +python-versions = ">=3.8" files = [ - {file = "pydantic_core-2.14.1-cp310-cp310-macosx_10_7_x86_64.whl", hash = "sha256:812beca1dcb2b722cccc7e9c620bd972cbc323321194ec2725eab3222e6ac573"}, - {file = "pydantic_core-2.14.1-cp310-cp310-macosx_11_0_arm64.whl", hash = "sha256:a2ccdc53cb88e51c7d47d74c59630d7be844428f6b8d463055ffad6f0392d8da"}, - {file = "pydantic_core-2.14.1-cp310-cp310-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:fd937733bf2fe7d6a8bf208c12741f1f730b7bf5636033877767a75093c29b8a"}, - {file = "pydantic_core-2.14.1-cp310-cp310-manylinux_2_17_armv7l.manylinux2014_armv7l.whl", hash = "sha256:581bb606a31749a00796f5257947a0968182d7fe91e1dada41f06aeb6bfbc91a"}, - {file = "pydantic_core-2.14.1-cp310-cp310-manylinux_2_17_ppc64le.manylinux2014_ppc64le.whl", hash = "sha256:aadf74a40a7ae49c3c1aa7d32334fe94f4f968e21dd948e301bb4ed431fb2412"}, - {file = "pydantic_core-2.14.1-cp310-cp310-manylinux_2_17_s390x.manylinux2014_s390x.whl", hash = "sha256:b89821a2c77cc1b8f2c1fc3aacd6a3ecc5df8f7e518dc3f18aef8c4dcf66003d"}, - {file = "pydantic_core-2.14.1-cp310-cp310-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:49ee28d65f506b2858a60745cc974ed005298ebab12693646b97641dd7c99c35"}, - {file = "pydantic_core-2.14.1-cp310-cp310-manylinux_2_5_i686.manylinux1_i686.whl", hash = "sha256:97246f896b4df7fd84caa8a75a67abb95f94bc0b547665bf0889e3262b060399"}, - {file = "pydantic_core-2.14.1-cp310-cp310-musllinux_1_1_aarch64.whl", hash = "sha256:1185548665bc61bbab0dc78f10c8eafa0db0aa1e920fe9a451b77782b10a65cc"}, - {file = "pydantic_core-2.14.1-cp310-cp310-musllinux_1_1_x86_64.whl", hash = "sha256:2a7d08b39fac97540fba785fce3b21ee01a81f081a07a4d031efd791da6666f9"}, - {file = "pydantic_core-2.14.1-cp310-none-win32.whl", hash = "sha256:0a8c8daf4e3aa3aeb98e3638fc3d58a359738f3d12590b2474c6bb64031a0764"}, - {file = "pydantic_core-2.14.1-cp310-none-win_amd64.whl", hash = "sha256:4f0788699a92d604f348e9c1ac5e97e304e97127ba8325c7d0af88dcc7d35bd3"}, - {file = "pydantic_core-2.14.1-cp311-cp311-macosx_10_7_x86_64.whl", hash = "sha256:2be018a84995b6be1bbd40d6064395dbf71592a981169cf154c0885637f5f54a"}, - {file = "pydantic_core-2.14.1-cp311-cp311-macosx_11_0_arm64.whl", hash = "sha256:fc3227408808ba7df8e95eb1d8389f4ba2203bed8240b308de1d7ae66d828f24"}, - {file = "pydantic_core-2.14.1-cp311-cp311-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:42d5d0e9bbb50481a049bd0203224b339d4db04006b78564df2b782e2fd16ebc"}, - {file = "pydantic_core-2.14.1-cp311-cp311-manylinux_2_17_armv7l.manylinux2014_armv7l.whl", hash = "sha256:bc6a4ea9f88a810cb65ccae14404da846e2a02dd5c0ad21dee712ff69d142638"}, - {file = "pydantic_core-2.14.1-cp311-cp311-manylinux_2_17_ppc64le.manylinux2014_ppc64le.whl", hash = "sha256:d312ad20e3c6d179cb97c42232b53111bcd8dcdd5c1136083db9d6bdd489bc73"}, - {file = "pydantic_core-2.14.1-cp311-cp311-manylinux_2_17_s390x.manylinux2014_s390x.whl", hash = "sha256:679cc4e184f213c8227862e57340d12fd4d4d19dc0e3ddb0f653f86f01e90f94"}, - {file = "pydantic_core-2.14.1-cp311-cp311-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:101df420e954966868b8bc992aefed5fa71dd1f2755104da62ee247abab28e2f"}, - {file = "pydantic_core-2.14.1-cp311-cp311-manylinux_2_5_i686.manylinux1_i686.whl", hash = "sha256:c964c0cc443d6c08a2347c0e5c1fc2d85a272dc66c1a6f3cde4fc4843882ada4"}, - {file = "pydantic_core-2.14.1-cp311-cp311-musllinux_1_1_aarch64.whl", hash = "sha256:8276bbab68a9dbe721da92d19cbc061f76655248fe24fb63969d0c3e0e5755e7"}, - {file = "pydantic_core-2.14.1-cp311-cp311-musllinux_1_1_x86_64.whl", hash = "sha256:12163197fec7c95751a3c71b36dcc1909eed9959f011ffc79cc8170a6a74c826"}, - {file = "pydantic_core-2.14.1-cp311-none-win32.whl", hash = "sha256:b8ff0302518dcd001bd722bbe342919c29e5066c7eda86828fe08cdc112668b8"}, - {file = "pydantic_core-2.14.1-cp311-none-win_amd64.whl", hash = "sha256:59fa83873223f856d898452c6162a390af4297756f6ba38493a67533387d85d9"}, - {file = "pydantic_core-2.14.1-cp311-none-win_arm64.whl", hash = "sha256:798590d38c9381f07c48d13af1f1ef337cebf76ee452fcec5deb04aceced51c7"}, - {file = "pydantic_core-2.14.1-cp312-cp312-macosx_10_7_x86_64.whl", hash = "sha256:587d75aec9ae50d0d63788cec38bf13c5128b3fc1411aa4b9398ebac884ab179"}, - {file = "pydantic_core-2.14.1-cp312-cp312-macosx_11_0_arm64.whl", hash = "sha256:26242e3593d4929123615bd9365dd86ef79b7b0592d64a96cd11fd83c69c9f34"}, - {file = "pydantic_core-2.14.1-cp312-cp312-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:5879ac4791508d8f0eb7dec71ff8521855180688dac0c55f8c99fc4d1a939845"}, - {file = "pydantic_core-2.14.1-cp312-cp312-manylinux_2_17_armv7l.manylinux2014_armv7l.whl", hash = "sha256:ad9ea86f5fc50f1b62c31184767fe0cacaa13b54fe57d38898c3776d30602411"}, - {file = "pydantic_core-2.14.1-cp312-cp312-manylinux_2_17_ppc64le.manylinux2014_ppc64le.whl", hash = "sha256:102ac85a775e77821943ae38da9634ddd774b37a8d407181b4f7b05cdfb36b55"}, - {file = "pydantic_core-2.14.1-cp312-cp312-manylinux_2_17_s390x.manylinux2014_s390x.whl", hash = "sha256:2459cc06572730e079ec1e694e8f68c99d977b40d98748ae72ff11ef21a56b0b"}, - {file = "pydantic_core-2.14.1-cp312-cp312-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:217dcbfaf429a9b8f1d54eb380908b9c778e78f31378283b30ba463c21e89d5d"}, - {file = "pydantic_core-2.14.1-cp312-cp312-manylinux_2_5_i686.manylinux1_i686.whl", hash = "sha256:9d59e0d7cdfe8ed1d4fcd28aad09625c715dc18976c7067e37d8a11b06f4be3e"}, - {file = "pydantic_core-2.14.1-cp312-cp312-musllinux_1_1_aarch64.whl", hash = "sha256:e2be646a5155d408e68b560c0553e8a83dc7b9f90ec6e5a2fc3ff216719385db"}, - {file = "pydantic_core-2.14.1-cp312-cp312-musllinux_1_1_x86_64.whl", hash = "sha256:ffba979801e3931a19cd30ed2049450820effe8f152aaa317e2fd93795d318d7"}, - {file = "pydantic_core-2.14.1-cp312-none-win32.whl", hash = "sha256:132b40e479cb5cebbbb681f77aaceabbc8355df16c9124cff1d4060ada83cde2"}, - {file = "pydantic_core-2.14.1-cp312-none-win_amd64.whl", hash = "sha256:744b807fe2733b6da3b53e8ad93e8b3ea3ee3dfc3abece4dd2824cc1f39aa343"}, - {file = "pydantic_core-2.14.1-cp312-none-win_arm64.whl", hash = "sha256:24ba48f9d0b8d64fc5e42e1600366c3d7db701201294989aebdaca23110c02ab"}, - {file = "pydantic_core-2.14.1-cp37-cp37m-macosx_10_7_x86_64.whl", hash = "sha256:ba55d73a2df4771b211d0bcdea8b79454980a81ed34a1d77a19ddcc81f98c895"}, - {file = "pydantic_core-2.14.1-cp37-cp37m-macosx_11_0_arm64.whl", hash = "sha256:e905014815687d88cbb14bbc0496420526cf20d49f20606537d87646b70f1046"}, - {file = "pydantic_core-2.14.1-cp37-cp37m-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:443dc5eede7fa76b2370213e0abe881eb17c96f7d694501853c11d5d56916602"}, - {file = "pydantic_core-2.14.1-cp37-cp37m-manylinux_2_17_armv7l.manylinux2014_armv7l.whl", hash = "sha256:abae6fd5504e5e438e4f6f739f8364fd9ff5a5cdca897e68363e2318af90bc28"}, - {file = "pydantic_core-2.14.1-cp37-cp37m-manylinux_2_17_ppc64le.manylinux2014_ppc64le.whl", hash = "sha256:9486e27bb3f137f33e2315be2baa0b0b983dae9e2f5f5395240178ad8e644728"}, - {file = "pydantic_core-2.14.1-cp37-cp37m-manylinux_2_17_s390x.manylinux2014_s390x.whl", hash = "sha256:69df82892ff00491d673b1929538efb8c8d68f534fdc6cb7fd3ac8a5852b9034"}, - {file = "pydantic_core-2.14.1-cp37-cp37m-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:184ff7b30c3f60e1b775378c060099285fd4b5249271046c9005f8b247b39377"}, - {file = "pydantic_core-2.14.1-cp37-cp37m-manylinux_2_5_i686.manylinux1_i686.whl", hash = "sha256:3d5b2a4b3c10cad0615670cab99059441ff42e92cf793a0336f4bc611e895204"}, - {file = "pydantic_core-2.14.1-cp37-cp37m-musllinux_1_1_aarch64.whl", hash = "sha256:871c641a83719caaa856a11dcc61c5e5b35b0db888e1a0d338fe67ce744575e2"}, - {file = "pydantic_core-2.14.1-cp37-cp37m-musllinux_1_1_x86_64.whl", hash = "sha256:1e7208946ea9b27a8cef13822c339d4ae96e45952cc01fc4a91c7f1cb0ae2861"}, - {file = "pydantic_core-2.14.1-cp37-none-win32.whl", hash = "sha256:b4ff385a525017f5adf6066d7f9fb309f99ade725dcf17ed623dc7dce1f85d9f"}, - {file = "pydantic_core-2.14.1-cp37-none-win_amd64.whl", hash = "sha256:c7411cd06afeb263182e38c6ca5b4f5fe4f20d91466ad7db0cd6af453a02edec"}, - {file = "pydantic_core-2.14.1-cp38-cp38-macosx_10_7_x86_64.whl", hash = "sha256:2871daf5b2823bf77bf7d3d43825e5d904030c155affdf84b21a00a2e00821d2"}, - {file = "pydantic_core-2.14.1-cp38-cp38-macosx_11_0_arm64.whl", hash = "sha256:7977e261cac5f99873dc2c6f044315d09b19a71c4246560e1e67593889a90978"}, - {file = "pydantic_core-2.14.1-cp38-cp38-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:e5a111f9158555582deadd202a60bd7803b6c68f406391b7cf6905adf0af6811"}, - {file = "pydantic_core-2.14.1-cp38-cp38-manylinux_2_17_armv7l.manylinux2014_armv7l.whl", hash = "sha256:ac417312bf6b7a0223ba73fb12e26b2854c93bf5b1911f7afef6d24c379b22aa"}, - {file = "pydantic_core-2.14.1-cp38-cp38-manylinux_2_17_ppc64le.manylinux2014_ppc64le.whl", hash = "sha256:c36987f5eb2a7856b5f5feacc3be206b4d1852a6ce799f6799dd9ffb0cba56ae"}, - {file = "pydantic_core-2.14.1-cp38-cp38-manylinux_2_17_s390x.manylinux2014_s390x.whl", hash = "sha256:c6e98227eb02623d57e1fd061788837834b68bb995a869565211b9abf3de4bf4"}, - {file = "pydantic_core-2.14.1-cp38-cp38-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:023b6d7ec4e97890b28eb2ee24413e69a6d48de4e8b75123957edd5432f4eeb3"}, - {file = "pydantic_core-2.14.1-cp38-cp38-manylinux_2_5_i686.manylinux1_i686.whl", hash = "sha256:6015beb28deb5306049ecf2519a59627e9e050892927850a884df6d5672f8c7d"}, - {file = "pydantic_core-2.14.1-cp38-cp38-musllinux_1_1_aarch64.whl", hash = "sha256:3f48d4afd973abbd65266ac24b24de1591116880efc7729caf6b6b94a9654c9e"}, - {file = "pydantic_core-2.14.1-cp38-cp38-musllinux_1_1_x86_64.whl", hash = "sha256:28734bcfb8fc5b03293dec5eb5ea73b32ff767f6ef79a31f6e41dad2f5470270"}, - {file = "pydantic_core-2.14.1-cp38-none-win32.whl", hash = "sha256:3303113fdfaca927ef11e0c5f109e2ec196c404f9d7ba5f8ddb63cdf287ea159"}, - {file = "pydantic_core-2.14.1-cp38-none-win_amd64.whl", hash = "sha256:144f2c1d5579108b6ed1193fcc9926124bd4142b0f7020a7744980d1235c8a40"}, - {file = "pydantic_core-2.14.1-cp39-cp39-macosx_10_7_x86_64.whl", hash = "sha256:893bf4fb9bfb9c4639bc12f3de323325ada4c6d60e478d5cded65453e9364890"}, - {file = "pydantic_core-2.14.1-cp39-cp39-macosx_11_0_arm64.whl", hash = "sha256:052d8731aaf844f91fe4cd3faf28983b109a5865b3a256ec550b80a5689ead87"}, - {file = "pydantic_core-2.14.1-cp39-cp39-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:bb1c6ecb53e4b907ee8486f453dd940b8cbb509946e2b671e3bf807d310a96fc"}, - {file = "pydantic_core-2.14.1-cp39-cp39-manylinux_2_17_armv7l.manylinux2014_armv7l.whl", hash = "sha256:94cf6d0274eb899d39189144dcf52814c67f9b0fd196f211420d9aac793df2da"}, - {file = "pydantic_core-2.14.1-cp39-cp39-manylinux_2_17_ppc64le.manylinux2014_ppc64le.whl", hash = "sha256:36c3bf96f803e207a80dbcb633d82b98ff02a9faa76dd446e969424dec8e2b9f"}, - {file = "pydantic_core-2.14.1-cp39-cp39-manylinux_2_17_s390x.manylinux2014_s390x.whl", hash = "sha256:fb290491f1f0786a7da4585250f1feee200fc17ff64855bdd7c42fb54526fa29"}, - {file = "pydantic_core-2.14.1-cp39-cp39-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:6590ed9d13eb51b28ea17ddcc6c8dbd6050b4eb589d497105f0e13339f223b72"}, - {file = "pydantic_core-2.14.1-cp39-cp39-manylinux_2_5_i686.manylinux1_i686.whl", hash = "sha256:69cd74e55a5326d920e7b46daa2d81c2bdb8bcf588eafb2330d981297b742ddc"}, - {file = "pydantic_core-2.14.1-cp39-cp39-musllinux_1_1_aarch64.whl", hash = "sha256:d965bdb50725a805b083f5f58d05669a85705f50a6a864e31b545c589290ee31"}, - {file = "pydantic_core-2.14.1-cp39-cp39-musllinux_1_1_x86_64.whl", hash = "sha256:ca942a2dc066ca5e04c27feaa8dfb9d353ddad14c6641660c565149186095343"}, - {file = "pydantic_core-2.14.1-cp39-none-win32.whl", hash = "sha256:72c2ef3787c3b577e5d6225d73a77167b942d12cef3c1fbd5e74e55b7f881c36"}, - {file = "pydantic_core-2.14.1-cp39-none-win_amd64.whl", hash = "sha256:55713d155da1e508083c4b08d0b1ad2c3054f68b8ef7eb3d3864822e456f0bb5"}, - {file = "pydantic_core-2.14.1-pp310-pypy310_pp73-macosx_10_7_x86_64.whl", hash = "sha256:53efe03cc383a83660cfdda6a3cb40ee31372cedea0fde0b2a2e55e838873ab6"}, - {file = "pydantic_core-2.14.1-pp310-pypy310_pp73-macosx_11_0_arm64.whl", hash = "sha256:f523e116879bc6714e61d447ce934676473b068069dce6563ea040381dc7a257"}, - {file = "pydantic_core-2.14.1-pp310-pypy310_pp73-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:85bb66d661be51b2cba9ca06759264b3469d2dbb53c3e6effb3f05fec6322be6"}, - {file = "pydantic_core-2.14.1-pp310-pypy310_pp73-manylinux_2_5_i686.manylinux1_i686.whl", hash = "sha256:f53a3ccdc30234cb4342cec541e3e6ed87799c7ca552f0b5f44e3967a5fed526"}, - {file = "pydantic_core-2.14.1-pp310-pypy310_pp73-musllinux_1_1_aarch64.whl", hash = "sha256:1bfb63821ada76719ffcd703fc40dd57962e0d8c253e3c565252e6de6d3e0bc6"}, - {file = "pydantic_core-2.14.1-pp310-pypy310_pp73-musllinux_1_1_x86_64.whl", hash = "sha256:e2c689439f262c29cf3fcd5364da1e64d8600facecf9eabea8643b8755d2f0de"}, - {file = "pydantic_core-2.14.1-pp310-pypy310_pp73-win_amd64.whl", hash = "sha256:a15f6e5588f7afb7f6fc4b0f4ff064749e515d34f34c666ed6e37933873d8ad8"}, - {file = "pydantic_core-2.14.1-pp37-pypy37_pp73-macosx_10_7_x86_64.whl", hash = "sha256:f1a30eef060e21af22c7d23349f1028de0611f522941c80efa51c05a63142c62"}, - {file = "pydantic_core-2.14.1-pp37-pypy37_pp73-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:16f4a7e1ec6b3ea98a1e108a2739710cd659d68b33fbbeaba066202cab69c7b6"}, - {file = "pydantic_core-2.14.1-pp37-pypy37_pp73-manylinux_2_5_i686.manylinux1_i686.whl", hash = "sha256:fd80a2d383940eec3db6a5b59d1820f947317acc5c75482ff8d79bf700f8ad6a"}, - {file = "pydantic_core-2.14.1-pp37-pypy37_pp73-musllinux_1_1_aarch64.whl", hash = "sha256:a68a36d71c7f638dda6c9e6b67f6aabf3fa1471b198d246457bfdc7c777cdeb7"}, - {file = "pydantic_core-2.14.1-pp37-pypy37_pp73-musllinux_1_1_x86_64.whl", hash = "sha256:ebc79120e105e4bcd7865f369e3b9dbabb0d492d221e1a7f62a3e8e292550278"}, - {file = "pydantic_core-2.14.1-pp38-pypy38_pp73-macosx_10_7_x86_64.whl", hash = "sha256:c8c466facec2ccdf025b0b1455b18f2c3d574d5f64d24df905d3d7b8f05d5f4e"}, - {file = "pydantic_core-2.14.1-pp38-pypy38_pp73-macosx_11_0_arm64.whl", hash = "sha256:b91b5ec423e88caa16777094c4b2b97f11453283e7a837e5e5e1b886abba1251"}, - {file = "pydantic_core-2.14.1-pp38-pypy38_pp73-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:130e49aa0cb316f743bc7792c36aefa39fc2221312f1d4b333b19edbdd71f2b1"}, - {file = "pydantic_core-2.14.1-pp38-pypy38_pp73-manylinux_2_5_i686.manylinux1_i686.whl", hash = "sha256:f483467c046f549572f8aca3b7128829e09ae3a9fe933ea421f7cb7c58120edb"}, - {file = "pydantic_core-2.14.1-pp38-pypy38_pp73-musllinux_1_1_aarch64.whl", hash = "sha256:dee4682bd7947afc682d342a8d65ad1834583132383f8e801601a8698cb8d17a"}, - {file = "pydantic_core-2.14.1-pp38-pypy38_pp73-musllinux_1_1_x86_64.whl", hash = "sha256:8d927d042c0ef04607ee7822828b208ab045867d20477ec6593d612156798547"}, - {file = "pydantic_core-2.14.1-pp38-pypy38_pp73-win_amd64.whl", hash = "sha256:5a1570875eb0d1479fb2270ed80c88c231aaaf68b0c3f114f35e7fb610435e4f"}, - {file = "pydantic_core-2.14.1-pp39-pypy39_pp73-macosx_10_7_x86_64.whl", hash = "sha256:cb2fd3ab67558eb16aecfb4f2db4febb4d37dc74e6b8613dc2e7160fb58158a9"}, - {file = "pydantic_core-2.14.1-pp39-pypy39_pp73-macosx_11_0_arm64.whl", hash = "sha256:a7991f25b98038252363a03e6a9fe92e60fe390fda2631d238dc3b0e396632f8"}, - {file = "pydantic_core-2.14.1-pp39-pypy39_pp73-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:5b45b7be9f99991405ecd6f6172fb6798908a8097106ae78d5cc5cc15121bad9"}, - {file = "pydantic_core-2.14.1-pp39-pypy39_pp73-manylinux_2_5_i686.manylinux1_i686.whl", hash = "sha256:51506e7652a2ef1d1cf763c4b51b972ff4568d1dddc96ca83931a6941f5e6389"}, - {file = "pydantic_core-2.14.1-pp39-pypy39_pp73-musllinux_1_1_aarch64.whl", hash = "sha256:66dc0e63349ec39c1ea66622aa5c2c1f84382112afd3ab2fa0cca4fb01f7db39"}, - {file = "pydantic_core-2.14.1-pp39-pypy39_pp73-musllinux_1_1_x86_64.whl", hash = "sha256:8e17f0c3ba4cb07faa0038a59ce162de584ed48ba645c8d05a5de1e40d4c21e7"}, - {file = "pydantic_core-2.14.1-pp39-pypy39_pp73-win_amd64.whl", hash = "sha256:d983222223f63e323a5f497f5b85e211557a5d8fb670dc88f343784502b466ba"}, - {file = "pydantic_core-2.14.1.tar.gz", hash = "sha256:0d82a6ee815388a362885186e431fac84c7a06623bc136f508e9f88261d8cadb"}, + {file = "pydantic_core-2.18.2-cp310-cp310-macosx_10_12_x86_64.whl", hash = "sha256:9e08e867b306f525802df7cd16c44ff5ebbe747ff0ca6cf3fde7f36c05a59a81"}, + {file = "pydantic_core-2.18.2-cp310-cp310-macosx_11_0_arm64.whl", hash = "sha256:f0a21cbaa69900cbe1a2e7cad2aa74ac3cf21b10c3efb0fa0b80305274c0e8a2"}, + {file = "pydantic_core-2.18.2-cp310-cp310-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:0680b1f1f11fda801397de52c36ce38ef1c1dc841a0927a94f226dea29c3ae3d"}, + {file = "pydantic_core-2.18.2-cp310-cp310-manylinux_2_17_armv7l.manylinux2014_armv7l.whl", hash = "sha256:95b9d5e72481d3780ba3442eac863eae92ae43a5f3adb5b4d0a1de89d42bb250"}, + {file = "pydantic_core-2.18.2-cp310-cp310-manylinux_2_17_ppc64le.manylinux2014_ppc64le.whl", hash = "sha256:c4fcf5cd9c4b655ad666ca332b9a081112cd7a58a8b5a6ca7a3104bc950f2038"}, + {file = "pydantic_core-2.18.2-cp310-cp310-manylinux_2_17_s390x.manylinux2014_s390x.whl", hash = "sha256:9b5155ff768083cb1d62f3e143b49a8a3432e6789a3abee8acd005c3c7af1c74"}, + {file = "pydantic_core-2.18.2-cp310-cp310-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:553ef617b6836fc7e4df130bb851e32fe357ce36336d897fd6646d6058d980af"}, + {file = "pydantic_core-2.18.2-cp310-cp310-manylinux_2_5_i686.manylinux1_i686.whl", hash = "sha256:b89ed9eb7d616ef5714e5590e6cf7f23b02d0d539767d33561e3675d6f9e3857"}, + {file = "pydantic_core-2.18.2-cp310-cp310-musllinux_1_1_aarch64.whl", hash = "sha256:75f7e9488238e920ab6204399ded280dc4c307d034f3924cd7f90a38b1829563"}, + {file = "pydantic_core-2.18.2-cp310-cp310-musllinux_1_1_x86_64.whl", hash = "sha256:ef26c9e94a8c04a1b2924149a9cb081836913818e55681722d7f29af88fe7b38"}, + {file = "pydantic_core-2.18.2-cp310-none-win32.whl", hash = "sha256:182245ff6b0039e82b6bb585ed55a64d7c81c560715d1bad0cbad6dfa07b4027"}, + {file = "pydantic_core-2.18.2-cp310-none-win_amd64.whl", hash = "sha256:e23ec367a948b6d812301afc1b13f8094ab7b2c280af66ef450efc357d2ae543"}, + {file = "pydantic_core-2.18.2-cp311-cp311-macosx_10_12_x86_64.whl", hash = "sha256:219da3f096d50a157f33645a1cf31c0ad1fe829a92181dd1311022f986e5fbe3"}, + {file = "pydantic_core-2.18.2-cp311-cp311-macosx_11_0_arm64.whl", hash = "sha256:cc1cfd88a64e012b74e94cd00bbe0f9c6df57049c97f02bb07d39e9c852e19a4"}, + {file = "pydantic_core-2.18.2-cp311-cp311-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:05b7133a6e6aeb8df37d6f413f7705a37ab4031597f64ab56384c94d98fa0e90"}, + {file = "pydantic_core-2.18.2-cp311-cp311-manylinux_2_17_armv7l.manylinux2014_armv7l.whl", hash = "sha256:224c421235f6102e8737032483f43c1a8cfb1d2f45740c44166219599358c2cd"}, + {file = "pydantic_core-2.18.2-cp311-cp311-manylinux_2_17_ppc64le.manylinux2014_ppc64le.whl", hash = "sha256:b14d82cdb934e99dda6d9d60dc84a24379820176cc4a0d123f88df319ae9c150"}, + {file = "pydantic_core-2.18.2-cp311-cp311-manylinux_2_17_s390x.manylinux2014_s390x.whl", hash = "sha256:2728b01246a3bba6de144f9e3115b532ee44bd6cf39795194fb75491824a1413"}, + {file = "pydantic_core-2.18.2-cp311-cp311-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:470b94480bb5ee929f5acba6995251ada5e059a5ef3e0dfc63cca287283ebfa6"}, + {file = "pydantic_core-2.18.2-cp311-cp311-manylinux_2_5_i686.manylinux1_i686.whl", hash = "sha256:997abc4df705d1295a42f95b4eec4950a37ad8ae46d913caeee117b6b198811c"}, + {file = "pydantic_core-2.18.2-cp311-cp311-musllinux_1_1_aarch64.whl", hash = "sha256:75250dbc5290e3f1a0f4618db35e51a165186f9034eff158f3d490b3fed9f8a0"}, + {file = "pydantic_core-2.18.2-cp311-cp311-musllinux_1_1_x86_64.whl", hash = "sha256:4456f2dca97c425231d7315737d45239b2b51a50dc2b6f0c2bb181fce6207664"}, + {file = "pydantic_core-2.18.2-cp311-none-win32.whl", hash = "sha256:269322dcc3d8bdb69f054681edff86276b2ff972447863cf34c8b860f5188e2e"}, + {file = "pydantic_core-2.18.2-cp311-none-win_amd64.whl", hash = "sha256:800d60565aec896f25bc3cfa56d2277d52d5182af08162f7954f938c06dc4ee3"}, + {file = "pydantic_core-2.18.2-cp311-none-win_arm64.whl", hash = "sha256:1404c69d6a676245199767ba4f633cce5f4ad4181f9d0ccb0577e1f66cf4c46d"}, + {file = "pydantic_core-2.18.2-cp312-cp312-macosx_10_12_x86_64.whl", hash = "sha256:fb2bd7be70c0fe4dfd32c951bc813d9fe6ebcbfdd15a07527796c8204bd36242"}, + {file = "pydantic_core-2.18.2-cp312-cp312-macosx_11_0_arm64.whl", hash = "sha256:6132dd3bd52838acddca05a72aafb6eab6536aa145e923bb50f45e78b7251043"}, + {file = "pydantic_core-2.18.2-cp312-cp312-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:d7d904828195733c183d20a54230c0df0eb46ec746ea1a666730787353e87182"}, + {file = "pydantic_core-2.18.2-cp312-cp312-manylinux_2_17_armv7l.manylinux2014_armv7l.whl", hash = "sha256:c9bd70772c720142be1020eac55f8143a34ec9f82d75a8e7a07852023e46617f"}, + {file = "pydantic_core-2.18.2-cp312-cp312-manylinux_2_17_ppc64le.manylinux2014_ppc64le.whl", hash = "sha256:2b8ed04b3582771764538f7ee7001b02e1170223cf9b75dff0bc698fadb00cf3"}, + {file = "pydantic_core-2.18.2-cp312-cp312-manylinux_2_17_s390x.manylinux2014_s390x.whl", hash = "sha256:e6dac87ddb34aaec85f873d737e9d06a3555a1cc1a8e0c44b7f8d5daeb89d86f"}, + {file = "pydantic_core-2.18.2-cp312-cp312-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:7ca4ae5a27ad7a4ee5170aebce1574b375de390bc01284f87b18d43a3984df72"}, + {file = "pydantic_core-2.18.2-cp312-cp312-manylinux_2_5_i686.manylinux1_i686.whl", hash = "sha256:886eec03591b7cf058467a70a87733b35f44707bd86cf64a615584fd72488b7c"}, + {file = "pydantic_core-2.18.2-cp312-cp312-musllinux_1_1_aarch64.whl", hash = "sha256:ca7b0c1f1c983e064caa85f3792dd2fe3526b3505378874afa84baf662e12241"}, + {file = "pydantic_core-2.18.2-cp312-cp312-musllinux_1_1_x86_64.whl", hash = "sha256:4b4356d3538c3649337df4074e81b85f0616b79731fe22dd11b99499b2ebbdf3"}, + {file = "pydantic_core-2.18.2-cp312-none-win32.whl", hash = "sha256:8b172601454f2d7701121bbec3425dd71efcb787a027edf49724c9cefc14c038"}, + {file = "pydantic_core-2.18.2-cp312-none-win_amd64.whl", hash = "sha256:b1bd7e47b1558ea872bd16c8502c414f9e90dcf12f1395129d7bb42a09a95438"}, + {file = "pydantic_core-2.18.2-cp312-none-win_arm64.whl", hash = "sha256:98758d627ff397e752bc339272c14c98199c613f922d4a384ddc07526c86a2ec"}, + {file = "pydantic_core-2.18.2-cp38-cp38-macosx_10_12_x86_64.whl", hash = "sha256:9fdad8e35f278b2c3eb77cbdc5c0a49dada440657bf738d6905ce106dc1de439"}, + {file = "pydantic_core-2.18.2-cp38-cp38-macosx_11_0_arm64.whl", hash = "sha256:1d90c3265ae107f91a4f279f4d6f6f1d4907ac76c6868b27dc7fb33688cfb347"}, + {file = "pydantic_core-2.18.2-cp38-cp38-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:390193c770399861d8df9670fb0d1874f330c79caaca4642332df7c682bf6b91"}, + {file = "pydantic_core-2.18.2-cp38-cp38-manylinux_2_17_armv7l.manylinux2014_armv7l.whl", hash = "sha256:82d5d4d78e4448683cb467897fe24e2b74bb7b973a541ea1dcfec1d3cbce39fb"}, + {file = "pydantic_core-2.18.2-cp38-cp38-manylinux_2_17_ppc64le.manylinux2014_ppc64le.whl", hash = "sha256:4774f3184d2ef3e14e8693194f661dea5a4d6ca4e3dc8e39786d33a94865cefd"}, + {file = "pydantic_core-2.18.2-cp38-cp38-manylinux_2_17_s390x.manylinux2014_s390x.whl", hash = "sha256:d4d938ec0adf5167cb335acb25a4ee69a8107e4984f8fbd2e897021d9e4ca21b"}, + {file = "pydantic_core-2.18.2-cp38-cp38-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:e0e8b1be28239fc64a88a8189d1df7fad8be8c1ae47fcc33e43d4be15f99cc70"}, + {file = "pydantic_core-2.18.2-cp38-cp38-manylinux_2_5_i686.manylinux1_i686.whl", hash = "sha256:868649da93e5a3d5eacc2b5b3b9235c98ccdbfd443832f31e075f54419e1b96b"}, + {file = "pydantic_core-2.18.2-cp38-cp38-musllinux_1_1_aarch64.whl", hash = "sha256:78363590ef93d5d226ba21a90a03ea89a20738ee5b7da83d771d283fd8a56761"}, + {file = "pydantic_core-2.18.2-cp38-cp38-musllinux_1_1_x86_64.whl", hash = "sha256:852e966fbd035a6468fc0a3496589b45e2208ec7ca95c26470a54daed82a0788"}, + {file = "pydantic_core-2.18.2-cp38-none-win32.whl", hash = "sha256:6a46e22a707e7ad4484ac9ee9f290f9d501df45954184e23fc29408dfad61350"}, + {file = "pydantic_core-2.18.2-cp38-none-win_amd64.whl", hash = "sha256:d91cb5ea8b11607cc757675051f61b3d93f15eca3cefb3e6c704a5d6e8440f4e"}, + {file = "pydantic_core-2.18.2-cp39-cp39-macosx_10_12_x86_64.whl", hash = "sha256:ae0a8a797a5e56c053610fa7be147993fe50960fa43609ff2a9552b0e07013e8"}, + {file = "pydantic_core-2.18.2-cp39-cp39-macosx_11_0_arm64.whl", hash = "sha256:042473b6280246b1dbf530559246f6842b56119c2926d1e52b631bdc46075f2a"}, + {file = "pydantic_core-2.18.2-cp39-cp39-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:1a388a77e629b9ec814c1b1e6b3b595fe521d2cdc625fcca26fbc2d44c816804"}, + {file = "pydantic_core-2.18.2-cp39-cp39-manylinux_2_17_armv7l.manylinux2014_armv7l.whl", hash = "sha256:e25add29b8f3b233ae90ccef2d902d0ae0432eb0d45370fe315d1a5cf231004b"}, + {file = "pydantic_core-2.18.2-cp39-cp39-manylinux_2_17_ppc64le.manylinux2014_ppc64le.whl", hash = "sha256:f459a5ce8434614dfd39bbebf1041952ae01da6bed9855008cb33b875cb024c0"}, + {file = "pydantic_core-2.18.2-cp39-cp39-manylinux_2_17_s390x.manylinux2014_s390x.whl", hash = "sha256:eff2de745698eb46eeb51193a9f41d67d834d50e424aef27df2fcdee1b153845"}, + {file = "pydantic_core-2.18.2-cp39-cp39-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:a8309f67285bdfe65c372ea3722b7a5642680f3dba538566340a9d36e920b5f0"}, + {file = "pydantic_core-2.18.2-cp39-cp39-manylinux_2_5_i686.manylinux1_i686.whl", hash = "sha256:f93a8a2e3938ff656a7c1bc57193b1319960ac015b6e87d76c76bf14fe0244b4"}, + {file = "pydantic_core-2.18.2-cp39-cp39-musllinux_1_1_aarch64.whl", hash = "sha256:22057013c8c1e272eb8d0eebc796701167d8377441ec894a8fed1af64a0bf399"}, + {file = "pydantic_core-2.18.2-cp39-cp39-musllinux_1_1_x86_64.whl", hash = "sha256:cfeecd1ac6cc1fb2692c3d5110781c965aabd4ec5d32799773ca7b1456ac636b"}, + {file = "pydantic_core-2.18.2-cp39-none-win32.whl", hash = "sha256:0d69b4c2f6bb3e130dba60d34c0845ba31b69babdd3f78f7c0c8fae5021a253e"}, + {file = "pydantic_core-2.18.2-cp39-none-win_amd64.whl", hash = "sha256:d9319e499827271b09b4e411905b24a426b8fb69464dfa1696258f53a3334641"}, + {file = "pydantic_core-2.18.2-pp310-pypy310_pp73-macosx_10_12_x86_64.whl", hash = "sha256:a1874c6dd4113308bd0eb568418e6114b252afe44319ead2b4081e9b9521fe75"}, + {file = "pydantic_core-2.18.2-pp310-pypy310_pp73-macosx_11_0_arm64.whl", hash = "sha256:ccdd111c03bfd3666bd2472b674c6899550e09e9f298954cfc896ab92b5b0e6d"}, + {file = "pydantic_core-2.18.2-pp310-pypy310_pp73-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:e18609ceaa6eed63753037fc06ebb16041d17d28199ae5aba0052c51449650a9"}, + {file = "pydantic_core-2.18.2-pp310-pypy310_pp73-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:6e5c584d357c4e2baf0ff7baf44f4994be121e16a2c88918a5817331fc7599d7"}, + {file = "pydantic_core-2.18.2-pp310-pypy310_pp73-manylinux_2_5_i686.manylinux1_i686.whl", hash = "sha256:43f0f463cf89ace478de71a318b1b4f05ebc456a9b9300d027b4b57c1a2064fb"}, + {file = "pydantic_core-2.18.2-pp310-pypy310_pp73-musllinux_1_1_aarch64.whl", hash = "sha256:e1b395e58b10b73b07b7cf740d728dd4ff9365ac46c18751bf8b3d8cca8f625a"}, + {file = "pydantic_core-2.18.2-pp310-pypy310_pp73-musllinux_1_1_x86_64.whl", hash = "sha256:0098300eebb1c837271d3d1a2cd2911e7c11b396eac9661655ee524a7f10587b"}, + {file = "pydantic_core-2.18.2-pp310-pypy310_pp73-win_amd64.whl", hash = "sha256:36789b70d613fbac0a25bb07ab3d9dba4d2e38af609c020cf4d888d165ee0bf3"}, + {file = "pydantic_core-2.18.2-pp39-pypy39_pp73-macosx_10_12_x86_64.whl", hash = "sha256:3f9a801e7c8f1ef8718da265bba008fa121243dfe37c1cea17840b0944dfd72c"}, + {file = "pydantic_core-2.18.2-pp39-pypy39_pp73-macosx_11_0_arm64.whl", hash = "sha256:3a6515ebc6e69d85502b4951d89131ca4e036078ea35533bb76327f8424531ce"}, + {file = "pydantic_core-2.18.2-pp39-pypy39_pp73-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:20aca1e2298c56ececfd8ed159ae4dde2df0781988c97ef77d5c16ff4bd5b400"}, + {file = "pydantic_core-2.18.2-pp39-pypy39_pp73-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:223ee893d77a310a0391dca6df00f70bbc2f36a71a895cecd9a0e762dc37b349"}, + {file = "pydantic_core-2.18.2-pp39-pypy39_pp73-manylinux_2_5_i686.manylinux1_i686.whl", hash = "sha256:2334ce8c673ee93a1d6a65bd90327588387ba073c17e61bf19b4fd97d688d63c"}, + {file = "pydantic_core-2.18.2-pp39-pypy39_pp73-musllinux_1_1_aarch64.whl", hash = "sha256:cbca948f2d14b09d20268cda7b0367723d79063f26c4ffc523af9042cad95592"}, + {file = "pydantic_core-2.18.2-pp39-pypy39_pp73-musllinux_1_1_x86_64.whl", hash = "sha256:b3ef08e20ec49e02d5c6717a91bb5af9b20f1805583cb0adfe9ba2c6b505b5ae"}, + {file = "pydantic_core-2.18.2-pp39-pypy39_pp73-win_amd64.whl", hash = "sha256:c6fdc8627910eed0c01aed6a390a252fe3ea6d472ee70fdde56273f198938374"}, + {file = "pydantic_core-2.18.2.tar.gz", hash = "sha256:2e29d20810dfc3043ee13ac7d9e25105799817683348823f305ab3f349b9386e"}, ] [package.dependencies] @@ -6867,116 +7136,93 @@ yaml = ["pyyaml (>=6.0.1)"] [[package]] name = "pygments" -version = "2.17.2" +version = "2.18.0" description = "Pygments is a syntax highlighting package written in Python." optional = false -python-versions = ">=3.7" +python-versions = ">=3.8" files = [ - {file = "pygments-2.17.2-py3-none-any.whl", hash = "sha256:b27c2826c47d0f3219f29554824c30c5e8945175d888647acd804ddd04af846c"}, - {file = "pygments-2.17.2.tar.gz", hash = "sha256:da46cec9fd2de5be3a8a784f434e4c4ab670b4ff54d605c4c2717e9d49c4c367"}, + {file = "pygments-2.18.0-py3-none-any.whl", hash = "sha256:b8e6aca0523f3ab76fee51799c488e38782ac06eafcf95e7ba832985c8e7b13a"}, + {file = "pygments-2.18.0.tar.gz", hash = "sha256:786ff802f32e91311bff3889f6e9a86e81505fe99f2735bb6d60ae0c5004f199"}, ] [package.extras] -plugins = ["importlib-metadata"] windows-terminal = ["colorama (>=0.4.6)"] [[package]] name = "pymongo" -version = "4.6.3" +version = "4.7.2" description = "Python driver for MongoDB " optional = false python-versions = ">=3.7" files = [ - {file = "pymongo-4.6.3-cp310-cp310-macosx_10_9_universal2.whl", hash = "sha256:e344d0afdd7c06c1f1e66a4736593293f432defc2191e6b411fc9c82fa8c5adc"}, - {file = "pymongo-4.6.3-cp310-cp310-manylinux1_i686.whl", hash = "sha256:731a92dfc4022db763bfa835c6bd160f2d2cba6ada75749c2ed500e13983414b"}, - {file = "pymongo-4.6.3-cp310-cp310-manylinux2014_aarch64.whl", hash = "sha256:c4726e36a2f7e92f09f5b8e92ba4db7525daffe31a0dcbcf0533edc0ade8c7d8"}, - {file = "pymongo-4.6.3-cp310-cp310-manylinux2014_i686.whl", hash = "sha256:00e6cfce111883ca63a3c12878286e0b89871f4b840290e61fb6f88ee0e687be"}, - {file = "pymongo-4.6.3-cp310-cp310-manylinux2014_ppc64le.whl", hash = "sha256:cc7a26edf79015c58eea46feb5b262cece55bc1d4929a8a9e0cbe7e6d6a9b0eb"}, - {file = "pymongo-4.6.3-cp310-cp310-manylinux2014_s390x.whl", hash = "sha256:4955be64d943b30f2a7ff98d818ca530f7cb37450bc6b32c37e0e74821907ef8"}, - {file = "pymongo-4.6.3-cp310-cp310-manylinux2014_x86_64.whl", hash = "sha256:af039afc6d787502c02089759778b550cb2f25dbe2780f5b050a2e37031c3fbf"}, - {file = "pymongo-4.6.3-cp310-cp310-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:ccc15a7c7a99aed7d0831eaf78a607f1db0c7a255f96e3d18984231acd72f70c"}, - {file = "pymongo-4.6.3-cp310-cp310-manylinux_2_17_ppc64le.manylinux2014_ppc64le.whl", hash = "sha256:8e97c138d811e9367723fcd07c4402a9211caae20479fdd6301d57762778a69f"}, - {file = "pymongo-4.6.3-cp310-cp310-manylinux_2_17_s390x.manylinux2014_s390x.whl", hash = "sha256:ebcc145c74d06296ce0cad35992185064e5cb2aadef719586778c144f0cd4d37"}, - {file = "pymongo-4.6.3-cp310-cp310-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:664c64b6bdb31aceb80f0556951e5e2bf50d359270732268b4e7af00a1cf5d6c"}, - {file = "pymongo-4.6.3-cp310-cp310-manylinux_2_5_i686.manylinux1_i686.manylinux_2_17_i686.manylinux2014_i686.whl", hash = "sha256:e4056bc421d4df2c61db4e584415f2b0f1eebb92cbf9222f7f38303467c37117"}, - {file = "pymongo-4.6.3-cp310-cp310-win32.whl", hash = "sha256:cdbea2aac1a4caa66ee912af3601557d2bda2f9f69feec83601c78c7e53ece64"}, - {file = "pymongo-4.6.3-cp310-cp310-win_amd64.whl", hash = "sha256:6cec7279e5a1b74b257d0270a8c97943d745811066630a6bc6beb413c68c6a33"}, - {file = "pymongo-4.6.3-cp311-cp311-macosx_10_9_universal2.whl", hash = "sha256:138b9fa18d40401c217bc038a48bcde4160b02d36d8632015b1804971a2eaa2f"}, - {file = "pymongo-4.6.3-cp311-cp311-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:60931b0e07448afe8866ffff764cd5bf4b1a855dc84c7dcb3974c6aa6a377a59"}, - {file = "pymongo-4.6.3-cp311-cp311-manylinux_2_17_ppc64le.manylinux2014_ppc64le.whl", hash = "sha256:9b35f8bded43ff91475305445fedf0613f880ff7e25c75ae1028e1260a9b7a86"}, - {file = "pymongo-4.6.3-cp311-cp311-manylinux_2_17_s390x.manylinux2014_s390x.whl", hash = "sha256:872bad5c83f7eec9da11e1fef5f858c6a4c79fe4a83c7780e7b0fe95d560ae3f"}, - {file = "pymongo-4.6.3-cp311-cp311-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:c2ad3e5bfcd345c0bfe9af69a82d720860b5b043c1657ffb513c18a0dee19c19"}, - {file = "pymongo-4.6.3-cp311-cp311-manylinux_2_5_i686.manylinux1_i686.manylinux_2_17_i686.manylinux2014_i686.whl", hash = "sha256:0e208f2ab7b495eff8fd175022abfb0abce6307ac5aee3f4de51fc1a459b71c9"}, - {file = "pymongo-4.6.3-cp311-cp311-win32.whl", hash = "sha256:4670edbb5ddd71a4d555668ef99b032a5f81b59e4145d66123aa0d831eac7883"}, - {file = "pymongo-4.6.3-cp311-cp311-win_amd64.whl", hash = "sha256:1c2761302b6cbfd12e239ce1b8061d4cf424a361d199dcb32da534985cae9350"}, - {file = "pymongo-4.6.3-cp312-cp312-macosx_10_9_universal2.whl", hash = "sha256:722f2b709b63311c0efda4fa4c603661faa4bec6bad24a6cc41a3bc6d841bf09"}, - {file = "pymongo-4.6.3-cp312-cp312-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:994386a4d6ad39e18bcede6dc8d1d693ec3ed897b88f86b1841fbc37227406da"}, - {file = "pymongo-4.6.3-cp312-cp312-manylinux_2_17_ppc64le.manylinux2014_ppc64le.whl", hash = "sha256:391aea047bba928006114282f175bc8d09c53fe1b7d8920bf888325e229302fe"}, - {file = "pymongo-4.6.3-cp312-cp312-manylinux_2_17_s390x.manylinux2014_s390x.whl", hash = "sha256:f4330c022024e7994b630199cdae909123e4b0e9cf15335de71b146c0f6a2435"}, - {file = "pymongo-4.6.3-cp312-cp312-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:01277a7e183c59081368e4efbde2b8f577014431b257959ca98d3a4e8682dd51"}, - {file = "pymongo-4.6.3-cp312-cp312-manylinux_2_5_i686.manylinux1_i686.manylinux_2_17_i686.manylinux2014_i686.whl", hash = "sha256:d30d5d7963453b478016bf7b0d87d7089ca24d93dbdecfbc9aa32f1b4772160a"}, - {file = "pymongo-4.6.3-cp312-cp312-win32.whl", hash = "sha256:a023804a3ac0f85d4510265b60978522368b5815772262e61e3a2222a8b315c9"}, - {file = "pymongo-4.6.3-cp312-cp312-win_amd64.whl", hash = "sha256:2a6ae9a600bbc2dbff719c98bf5da584fb8a4f2bb23729a09be2e9c3dbc61c8a"}, - {file = "pymongo-4.6.3-cp37-cp37m-macosx_10_6_intel.whl", hash = "sha256:3b909e5b1864de01510079b39bbdc480720c37747be5552b354bc73f02c24a3c"}, - {file = "pymongo-4.6.3-cp37-cp37m-manylinux1_i686.whl", hash = "sha256:48c60bd32ec141c0d45d8471179430003d9fb4490da181b8165fb1dce9cc255c"}, - {file = "pymongo-4.6.3-cp37-cp37m-manylinux1_x86_64.whl", hash = "sha256:36d7049fc183fe4edda3eae7f66ea14c660921429e082fe90b4b7f4dc6664a70"}, - {file = "pymongo-4.6.3-cp37-cp37m-manylinux2014_aarch64.whl", hash = "sha256:18e5c161b18660f1c9d1f78236de45520a436be65e42b7bb51f25f74ad22bdde"}, - {file = "pymongo-4.6.3-cp37-cp37m-manylinux2014_i686.whl", hash = "sha256:e458e6fc2b7dd40d15cda04898bd2d8c9ff7ae086c516bc261628d54eb4e3158"}, - {file = "pymongo-4.6.3-cp37-cp37m-manylinux2014_ppc64le.whl", hash = "sha256:e420e74c6db4594a6d09f39b58c0772679006cb0b4fc40901ba608794d87dad2"}, - {file = "pymongo-4.6.3-cp37-cp37m-manylinux2014_s390x.whl", hash = "sha256:9c9340c7161e112e36ebb97fbba1cdbe7db3dfacb694d2918b1f155a01f3d859"}, - {file = "pymongo-4.6.3-cp37-cp37m-manylinux2014_x86_64.whl", hash = "sha256:26d036e0f5de09d0b21d0fc30314fcf2ae6359e4d43ae109aa6cf27b4ce02d30"}, - {file = "pymongo-4.6.3-cp37-cp37m-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:b7cf28d9c90e40d4e385b858e4095739829f466f23e08674085161d86bb4bb10"}, - {file = "pymongo-4.6.3-cp37-cp37m-manylinux_2_17_ppc64le.manylinux2014_ppc64le.whl", hash = "sha256:9066dff9dc0a182478ca5885d0b8a2b820b462e19459ada109df7a3ced31b272"}, - {file = "pymongo-4.6.3-cp37-cp37m-manylinux_2_17_s390x.manylinux2014_s390x.whl", hash = "sha256:e1e1586ebdebe0447a24842480defac17c496430a218486c96e2da3f164c0f05"}, - {file = "pymongo-4.6.3-cp37-cp37m-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:8b3853fb66bf34ce1b6e573e1bbb3cb28763be9d1f57758535757faf1ab2f24a"}, - {file = "pymongo-4.6.3-cp37-cp37m-manylinux_2_5_i686.manylinux1_i686.manylinux_2_17_i686.manylinux2014_i686.whl", hash = "sha256:462684a6f5ce6f2661c30eab4d1d459231e0eed280f338e716e31a24fc09ccb3"}, - {file = "pymongo-4.6.3-cp37-cp37m-manylinux_2_5_i686.manylinux1_i686.whl", hash = "sha256:0a4ea44e5a913bdb7c9abd34c69e9fcfac10dfaf49765463e0dc1ea922dd2a9d"}, - {file = "pymongo-4.6.3-cp37-cp37m-manylinux_2_5_x86_64.manylinux1_x86_64.whl", hash = "sha256:098d420a8214ad25f872de7e8b309441995d12ece0376218a04d9ed5d2222cf3"}, - {file = "pymongo-4.6.3-cp37-cp37m-win32.whl", hash = "sha256:7330245253fbe2e09845069d2f4d35dd27f63e377034c94cb0ddac18bc8b0d82"}, - {file = "pymongo-4.6.3-cp37-cp37m-win_amd64.whl", hash = "sha256:151361c101600a85cb1c1e0db4e4b28318b521fcafa9b62d389f7342faaaee80"}, - {file = "pymongo-4.6.3-cp38-cp38-macosx_11_0_universal2.whl", hash = "sha256:4d167d546352869125dc86f6fda6dffc627d8a9c8963eaee665825f2520d542b"}, - {file = "pymongo-4.6.3-cp38-cp38-manylinux1_i686.whl", hash = "sha256:eaf3d594ebfd5e1f3503d81e06a5d78e33cda27418b36c2491c3d4ad4fca5972"}, - {file = "pymongo-4.6.3-cp38-cp38-manylinux1_x86_64.whl", hash = "sha256:7ee79e02a7c5ed34706ecb5dad19e6c7d267cf86d28c075ef3127c58f3081279"}, - {file = "pymongo-4.6.3-cp38-cp38-manylinux2014_aarch64.whl", hash = "sha256:af5c5112db04cf62a5d9d224a24f289aaecb47d152c08a457cca81cee061d5bd"}, - {file = "pymongo-4.6.3-cp38-cp38-manylinux2014_i686.whl", hash = "sha256:6b5aec78aa4840e8d6c3881900259892ab5733a366696ca10d99d68c3d73eaaf"}, - {file = "pymongo-4.6.3-cp38-cp38-manylinux2014_ppc64le.whl", hash = "sha256:9757602fb45c8ecc1883fe6db7c59c19d87eb3c645ec9342d28a6026837da931"}, - {file = "pymongo-4.6.3-cp38-cp38-manylinux2014_s390x.whl", hash = "sha256:dde9fb6e105ce054339256a8b7a9775212ebb29596ef4e402d7bbc63b354d202"}, - {file = "pymongo-4.6.3-cp38-cp38-manylinux2014_x86_64.whl", hash = "sha256:7df8b166d3db6cfead4cf55b481408d8f0935d8bd8d6dbf64507c49ef82c7200"}, - {file = "pymongo-4.6.3-cp38-cp38-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:53451190b8628e1ce7d1fe105dc376c3f10705127bd3b51fe3e107b9ff1851e6"}, - {file = "pymongo-4.6.3-cp38-cp38-manylinux_2_17_ppc64le.manylinux2014_ppc64le.whl", hash = "sha256:75107a386d4ccf5291e75cce8ca3898430e7907f4cc1208a17c9efad33a1ea84"}, - {file = "pymongo-4.6.3-cp38-cp38-manylinux_2_17_s390x.manylinux2014_s390x.whl", hash = "sha256:4a0660ce32d8459b7f12dc3ca0141528fead62d3cce31b548f96f30902074cc0"}, - {file = "pymongo-4.6.3-cp38-cp38-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:aa310096450e9c461b7dfd66cbc1c41771fe36c06200440bb3e062b1d4a06b6e"}, - {file = "pymongo-4.6.3-cp38-cp38-manylinux_2_5_i686.manylinux1_i686.manylinux_2_17_i686.manylinux2014_i686.whl", hash = "sha256:5f465cca9b178e7bb782f952dd58e9e92f8ba056e585959465f2bb50feddef5f"}, - {file = "pymongo-4.6.3-cp38-cp38-manylinux_2_5_i686.manylinux1_i686.whl", hash = "sha256:c67c19f653053ef2ebd7f1837c2978400058d6d7f66ec5760373a21eaf660158"}, - {file = "pymongo-4.6.3-cp38-cp38-manylinux_2_5_x86_64.manylinux1_x86_64.whl", hash = "sha256:c701de8e483fb5e53874aab642235361aac6de698146b02c644389eaa8c137b6"}, - {file = "pymongo-4.6.3-cp38-cp38-win32.whl", hash = "sha256:90525454546536544307e6da9c81f331a71a1b144e2d038fec587cc9f9250285"}, - {file = "pymongo-4.6.3-cp38-cp38-win_amd64.whl", hash = "sha256:3e1ba5a037c526a3f4060c28f8d45d71ed9626e2bf954b0cd9a8dcc3b45172ee"}, - {file = "pymongo-4.6.3-cp39-cp39-macosx_10_9_universal2.whl", hash = "sha256:14a82593528cddc93cfea5ee78fac95ae763a3a4e124ca79ee0b24fbbc6da1c9"}, - {file = "pymongo-4.6.3-cp39-cp39-manylinux1_i686.whl", hash = "sha256:cd6c15242d9306ff1748681c3235284cbe9f807aeaa86cd17d85e72af626e9a7"}, - {file = "pymongo-4.6.3-cp39-cp39-manylinux1_x86_64.whl", hash = "sha256:6de33f1b2eed91b802ec7abeb92ffb981d052f3604b45588309aae9e0f6e3c02"}, - {file = "pymongo-4.6.3-cp39-cp39-manylinux2014_aarch64.whl", hash = "sha256:0182899aafe830f25cf96c5976d724efeaaf7b6646c15424ad8dd25422b2efe1"}, - {file = "pymongo-4.6.3-cp39-cp39-manylinux2014_i686.whl", hash = "sha256:8d0ea740a2faa56f930dc82c5976d96c017ece26b29a1cddafb58721c7aab960"}, - {file = "pymongo-4.6.3-cp39-cp39-manylinux2014_ppc64le.whl", hash = "sha256:5c8a4982f5eb767c6fbfb8fb378683d09bcab7c3251ba64357eef600d43f6c23"}, - {file = "pymongo-4.6.3-cp39-cp39-manylinux2014_s390x.whl", hash = "sha256:becfa816545a48c8e740ac2fd624c1c121e1362072d68ffcf37a6b1be8ea187e"}, - {file = "pymongo-4.6.3-cp39-cp39-manylinux2014_x86_64.whl", hash = "sha256:ff7d1f449fcad23d9bc8e8dc2b9972be38bcd76d99ea5f7d29b2efa929c2a7ff"}, - {file = "pymongo-4.6.3-cp39-cp39-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:e097f877de4d6af13a33ef938bf2a2350f424be5deabf8b857da95f5b080487a"}, - {file = "pymongo-4.6.3-cp39-cp39-manylinux_2_17_ppc64le.manylinux2014_ppc64le.whl", hash = "sha256:705a9bfd619301ee7e985d6f91f68b15dfcb2f6f36b8cc225cc82d4260d2bce5"}, - {file = "pymongo-4.6.3-cp39-cp39-manylinux_2_17_s390x.manylinux2014_s390x.whl", hash = "sha256:2ef1b4992ee1cb8bb16745e70afa0c02c5360220a7a8bb4775888721f052d0a6"}, - {file = "pymongo-4.6.3-cp39-cp39-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:b3d10bdd46cbc35a2109737d36ffbef32e7420569a87904738ad444ccb7ac2c5"}, - {file = "pymongo-4.6.3-cp39-cp39-manylinux_2_5_i686.manylinux1_i686.manylinux_2_17_i686.manylinux2014_i686.whl", hash = "sha256:17c1c143ba77d6e21fc8b48e93f0a5ed982a23447434e9ee4fbb6d633402506b"}, - {file = "pymongo-4.6.3-cp39-cp39-manylinux_2_5_i686.manylinux1_i686.whl", hash = "sha256:9e51e30d67b468a2a634ade928b30cb3e420127f148a9aec60de33f39087bdc4"}, - {file = "pymongo-4.6.3-cp39-cp39-manylinux_2_5_x86_64.manylinux1_x86_64.whl", hash = "sha256:bec8e4e88984be157408f1923d25869e1b575c07711cdbdde596f66931800934"}, - {file = "pymongo-4.6.3-cp39-cp39-win32.whl", hash = "sha256:98877a9c4ad42df8253a12d8d17a3265781d1feb5c91c767bd153f88feb0b670"}, - {file = "pymongo-4.6.3-cp39-cp39-win_amd64.whl", hash = "sha256:6d5b35da9e16cda630baed790ffc3d0d01029d269523a7cec34d2ec7e6823e75"}, - {file = "pymongo-4.6.3.tar.gz", hash = "sha256:400074090b9a631f120b42c61b222fd743490c133a5d2f99c0208cefcccc964e"}, + {file = "pymongo-4.7.2-cp310-cp310-macosx_10_9_x86_64.whl", hash = "sha256:268d8578c0500012140c5460755ea405cbfe541ef47c81efa9d6744f0f99aeca"}, + {file = "pymongo-4.7.2-cp310-cp310-macosx_11_0_arm64.whl", hash = "sha256:827611beb6c483260d520cfa6a49662d980dfa5368a04296f65fa39e78fccea7"}, + {file = "pymongo-4.7.2-cp310-cp310-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:a754e366c404d19ff3f077ddeed64be31e0bb515e04f502bf11987f1baa55a16"}, + {file = "pymongo-4.7.2-cp310-cp310-manylinux_2_17_ppc64le.manylinux2014_ppc64le.whl", hash = "sha256:c44efab10d9a3db920530f7bcb26af8f408b7273d2f0214081d3891979726328"}, + {file = "pymongo-4.7.2-cp310-cp310-manylinux_2_17_s390x.manylinux2014_s390x.whl", hash = "sha256:35b3f0c7d49724859d4df5f0445818d525824a6cd55074c42573d9b50764df67"}, + {file = "pymongo-4.7.2-cp310-cp310-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:1e37faf298a37ffb3e0809e77fbbb0a32b6a2d18a83c59cfc2a7b794ea1136b0"}, + {file = "pymongo-4.7.2-cp310-cp310-manylinux_2_5_i686.manylinux1_i686.manylinux_2_17_i686.manylinux2014_i686.whl", hash = "sha256:d1bcd58669e56c08f1e72c5758868b5df169fe267501c949ee83c418e9df9155"}, + {file = "pymongo-4.7.2-cp310-cp310-win32.whl", hash = "sha256:c72d16fede22efe7cdd1f422e8da15760e9498024040429362886f946c10fe95"}, + {file = "pymongo-4.7.2-cp310-cp310-win_amd64.whl", hash = "sha256:12d1fef77d25640cb78893d07ff7d2fac4c4461d8eec45bd3b9ad491a1115d6e"}, + {file = "pymongo-4.7.2-cp311-cp311-macosx_10_9_x86_64.whl", hash = "sha256:fc5af24fcf5fc6f7f40d65446400d45dd12bea933d0299dc9e90c5b22197f1e9"}, + {file = "pymongo-4.7.2-cp311-cp311-macosx_11_0_arm64.whl", hash = "sha256:730778b6f0964b164c187289f906bbc84cb0524df285b7a85aa355bbec43eb21"}, + {file = "pymongo-4.7.2-cp311-cp311-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:47a1a4832ef2f4346dcd1a10a36ade7367ad6905929ddb476459abb4fd1b98cb"}, + {file = "pymongo-4.7.2-cp311-cp311-manylinux_2_17_ppc64le.manylinux2014_ppc64le.whl", hash = "sha256:e6eab12c6385526d386543d6823b07187fefba028f0da216506e00f0e1855119"}, + {file = "pymongo-4.7.2-cp311-cp311-manylinux_2_17_s390x.manylinux2014_s390x.whl", hash = "sha256:37e9ea81fa59ee9274457ed7d59b6c27f6f2a5fe8e26f184ecf58ea52a019cb8"}, + {file = "pymongo-4.7.2-cp311-cp311-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:7e9d9d2c0aae73aa4369bd373ac2ac59f02c46d4e56c4b6d6e250cfe85f76802"}, + {file = "pymongo-4.7.2-cp311-cp311-manylinux_2_5_i686.manylinux1_i686.manylinux_2_17_i686.manylinux2014_i686.whl", hash = "sha256:cb6e00a79dff22c9a72212ad82021b54bdb3b85f38a85f4fc466bde581d7d17a"}, + {file = "pymongo-4.7.2-cp311-cp311-win32.whl", hash = "sha256:02efd1bb3397e24ef2af45923888b41a378ce00cb3a4259c5f4fc3c70497a22f"}, + {file = "pymongo-4.7.2-cp311-cp311-win_amd64.whl", hash = "sha256:87bb453ac3eb44db95cb6d5a616fbc906c1c00661eec7f55696253a6245beb8a"}, + {file = "pymongo-4.7.2-cp312-cp312-macosx_10_9_x86_64.whl", hash = "sha256:12c466e02133b7f8f4ff1045c6b5916215c5f7923bc83fd6e28e290cba18f9f6"}, + {file = "pymongo-4.7.2-cp312-cp312-macosx_11_0_arm64.whl", hash = "sha256:f91073049c43d14e66696970dd708d319b86ee57ef9af359294eee072abaac79"}, + {file = "pymongo-4.7.2-cp312-cp312-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:87032f818bf5052ab742812c715eff896621385c43f8f97cdd37d15b5d394e95"}, + {file = "pymongo-4.7.2-cp312-cp312-manylinux_2_17_ppc64le.manylinux2014_ppc64le.whl", hash = "sha256:6a87eef394039765679f75c6a47455a4030870341cb76eafc349c5944408c882"}, + {file = "pymongo-4.7.2-cp312-cp312-manylinux_2_17_s390x.manylinux2014_s390x.whl", hash = "sha256:d275596f840018858757561840767b39272ac96436fcb54f5cac6d245393fd97"}, + {file = "pymongo-4.7.2-cp312-cp312-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:82102e353be13f1a6769660dd88115b1da382447672ba1c2662a0fbe3df1d861"}, + {file = "pymongo-4.7.2-cp312-cp312-manylinux_2_5_i686.manylinux1_i686.manylinux_2_17_i686.manylinux2014_i686.whl", hash = "sha256:194065c9d445017b3c82fb85f89aa2055464a080bde604010dc8eb932a6b3c95"}, + {file = "pymongo-4.7.2-cp312-cp312-win32.whl", hash = "sha256:db4380d1e69fdad1044a4b8f3bb105200542c49a0dde93452d938ff9db1d6d29"}, + {file = "pymongo-4.7.2-cp312-cp312-win_amd64.whl", hash = "sha256:fadc6e8db7707c861ebe25b13ad6aca19ea4d2c56bf04a26691f46c23dadf6e4"}, + {file = "pymongo-4.7.2-cp37-cp37m-macosx_10_9_x86_64.whl", hash = "sha256:2cb77d09bd012cb4b30636e7e38d00b5f9be5eb521c364bde66490c45ee6c4b4"}, + {file = "pymongo-4.7.2-cp37-cp37m-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:56bf8b706946952acdea0fe478f8e44f1ed101c4b87f046859e6c3abe6c0a9f4"}, + {file = "pymongo-4.7.2-cp37-cp37m-manylinux_2_17_ppc64le.manylinux2014_ppc64le.whl", hash = "sha256:bcf337d1b252405779d9c79978d6ca15eab3cdaa2f44c100a79221bddad97c8a"}, + {file = "pymongo-4.7.2-cp37-cp37m-manylinux_2_17_s390x.manylinux2014_s390x.whl", hash = "sha256:4ffd1519edbe311df73c74ec338de7d294af535b2748191c866ea3a7c484cd15"}, + {file = "pymongo-4.7.2-cp37-cp37m-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:d4d59776f435564159196d971aa89422ead878174aff8fe18e06d9a0bc6d648c"}, + {file = "pymongo-4.7.2-cp37-cp37m-manylinux_2_5_i686.manylinux1_i686.manylinux_2_17_i686.manylinux2014_i686.whl", hash = "sha256:347c49cf7f0ba49ea87c1a5a1984187ecc5516b7c753f31938bf7b37462824fd"}, + {file = "pymongo-4.7.2-cp37-cp37m-manylinux_2_5_i686.manylinux1_i686.whl", hash = "sha256:84bc00200c3cbb6c98a2bb964c9e8284b641e4a33cf10c802390552575ee21de"}, + {file = "pymongo-4.7.2-cp37-cp37m-manylinux_2_5_x86_64.manylinux1_x86_64.whl", hash = "sha256:fcaf8c911cb29316a02356f89dbc0e0dfcc6a712ace217b6b543805690d2aefd"}, + {file = "pymongo-4.7.2-cp37-cp37m-win32.whl", hash = "sha256:b48a5650ee5320d59f6d570bd99a8d5c58ac6f297a4e9090535f6561469ac32e"}, + {file = "pymongo-4.7.2-cp37-cp37m-win_amd64.whl", hash = "sha256:5239ef7e749f1326ea7564428bf861d5250aa39d7f26d612741b1b1273227062"}, + {file = "pymongo-4.7.2-cp38-cp38-macosx_10_9_x86_64.whl", hash = "sha256:d2dcf608d35644e8d276d61bf40a93339d8d66a0e5f3e3f75b2c155a421a1b71"}, + {file = "pymongo-4.7.2-cp38-cp38-macosx_11_0_arm64.whl", hash = "sha256:25eeb2c18ede63891cbd617943dd9e6b9cbccc54f276e0b2e693a0cc40f243c5"}, + {file = "pymongo-4.7.2-cp38-cp38-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:9349f0bb17a31371d4cacb64b306e4ca90413a3ad1fffe73ac7cd495570d94b5"}, + {file = "pymongo-4.7.2-cp38-cp38-manylinux_2_17_ppc64le.manylinux2014_ppc64le.whl", hash = "sha256:ffd4d7cb2e6c6e100e2b39606d38a9ffc934e18593dc9bb326196afc7d93ce3d"}, + {file = "pymongo-4.7.2-cp38-cp38-manylinux_2_17_s390x.manylinux2014_s390x.whl", hash = "sha256:9a8bd37f5dabc86efceb8d8cbff5969256523d42d08088f098753dba15f3b37a"}, + {file = "pymongo-4.7.2-cp38-cp38-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:1c78f156edc59b905c80c9003e022e1a764c54fd40ac4fea05b0764f829790e2"}, + {file = "pymongo-4.7.2-cp38-cp38-manylinux_2_5_i686.manylinux1_i686.manylinux_2_17_i686.manylinux2014_i686.whl", hash = "sha256:9d892fb91e81cccb83f507cdb2ea0aa026ec3ced7f12a1d60f6a5bf0f20f9c1f"}, + {file = "pymongo-4.7.2-cp38-cp38-manylinux_2_5_i686.manylinux1_i686.whl", hash = "sha256:87832d6076c2c82f42870157414fd876facbb6554d2faf271ffe7f8f30ce7bed"}, + {file = "pymongo-4.7.2-cp38-cp38-manylinux_2_5_x86_64.manylinux1_x86_64.whl", hash = "sha256:ce1a374ea0e49808e0380ffc64284c0ce0f12bd21042b4bef1af3eb7bdf49054"}, + {file = "pymongo-4.7.2-cp38-cp38-win32.whl", hash = "sha256:eb0642e5f0dd7e86bb358749cc278e70b911e617f519989d346f742dc9520dfb"}, + {file = "pymongo-4.7.2-cp38-cp38-win_amd64.whl", hash = "sha256:4bdb5ffe1cd3728c9479671a067ef44dacafc3743741d4dc700c377c4231356f"}, + {file = "pymongo-4.7.2-cp39-cp39-macosx_10_9_x86_64.whl", hash = "sha256:743552033c63f0afdb56b9189ab04b5c1dbffd7310cf7156ab98eebcecf24621"}, + {file = "pymongo-4.7.2-cp39-cp39-macosx_11_0_arm64.whl", hash = "sha256:5239776633f7578b81207e5646245415a5a95f6ae5ef5dff8e7c2357e6264bfc"}, + {file = "pymongo-4.7.2-cp39-cp39-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:727ad07952c155cd20045f2ce91143c7dc4fb01a5b4e8012905a89a7da554b0c"}, + {file = "pymongo-4.7.2-cp39-cp39-manylinux_2_17_ppc64le.manylinux2014_ppc64le.whl", hash = "sha256:9385654f01a90f73827af4db90c290a1519f7d9102ba43286e187b373e9a78e9"}, + {file = "pymongo-4.7.2-cp39-cp39-manylinux_2_17_s390x.manylinux2014_s390x.whl", hash = "sha256:0d833651f1ba938bb7501f13e326b96cfbb7d98867b2d545ca6d69c7664903e0"}, + {file = "pymongo-4.7.2-cp39-cp39-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:cf17ea9cea14d59b0527403dd7106362917ced7c4ec936c4ba22bd36c912c8e0"}, + {file = "pymongo-4.7.2-cp39-cp39-manylinux_2_5_i686.manylinux1_i686.manylinux_2_17_i686.manylinux2014_i686.whl", hash = "sha256:cecd2df037249d1c74f0af86fb5b766104a5012becac6ff63d85d1de53ba8b98"}, + {file = "pymongo-4.7.2-cp39-cp39-manylinux_2_5_i686.manylinux1_i686.whl", hash = "sha256:65b4c00dedbd333698b83cd2095a639a6f0d7c4e2a617988f6c65fb46711f028"}, + {file = "pymongo-4.7.2-cp39-cp39-manylinux_2_5_x86_64.manylinux1_x86_64.whl", hash = "sha256:d9b6cbc037108ff1a0a867e7670d8513c37f9bcd9ee3d2464411bfabf70ca002"}, + {file = "pymongo-4.7.2-cp39-cp39-win32.whl", hash = "sha256:cf28430ec1924af1bffed37b69a812339084697fd3f3e781074a0148e6475803"}, + {file = "pymongo-4.7.2-cp39-cp39-win_amd64.whl", hash = "sha256:e004527ea42a6b99a8b8d5b42b42762c3bdf80f88fbdb5c3a9d47f3808495b86"}, + {file = "pymongo-4.7.2.tar.gz", hash = "sha256:9024e1661c6e40acf468177bf90ce924d1bc681d2b244adda3ed7b2f4c4d17d7"}, ] [package.dependencies] dnspython = ">=1.16.0,<3.0.0" [package.extras] -aws = ["pymongo-auth-aws (<2.0.0)"] -encryption = ["certifi", "pymongo[aws]", "pymongocrypt (>=1.6.0,<2.0.0)"] +aws = ["pymongo-auth-aws (>=1.1.0,<2.0.0)"] +encryption = ["certifi", "pymongo-auth-aws (>=1.1.0,<2.0.0)", "pymongocrypt (>=1.6.0,<2.0.0)"] gssapi = ["pykerberos", "winkerberos (>=0.5.0)"] ocsp = ["certifi", "cryptography (>=2.5)", "pyopenssl (>=17.2.0)", "requests (<3.0.0)", "service-identity (>=18.1.0)"] snappy = ["python-snappy"] @@ -6985,15 +7231,18 @@ zstd = ["zstandard"] [[package]] name = "pyparsing" -version = "2.4.7" -description = "Python parsing module" +version = "3.1.2" +description = "pyparsing module - Classes and methods to define and execute parsing grammars" optional = false -python-versions = ">=2.6, !=3.0.*, !=3.1.*, !=3.2.*" +python-versions = ">=3.6.8" files = [ - {file = "pyparsing-2.4.7-py2.py3-none-any.whl", hash = "sha256:ef9d7589ef3c200abe66653d3f1ab1033c3c419ae9b9bdb1240a85b024efc88b"}, - {file = "pyparsing-2.4.7.tar.gz", hash = "sha256:c203ec8783bf771a155b207279b9bccb8dea02d8f0c9e5f8ead507bc3246ecc1"}, + {file = "pyparsing-3.1.2-py3-none-any.whl", hash = "sha256:f9db75911801ed778fe61bb643079ff86601aca99fcae6345aa67292038fb742"}, + {file = "pyparsing-3.1.2.tar.gz", hash = "sha256:a1bac0ce561155ecc3ed78ca94d3c9378656ad4c94c1270de543f621420f94ad"}, ] +[package.extras] +diagrams = ["jinja2", "railroad-diagrams"] + [[package]] name = "pypdf" version = "4.2.0" @@ -7027,18 +7276,15 @@ files = [ [[package]] name = "pyproject-hooks" -version = "1.0.0" +version = "1.1.0" description = "Wrappers to call pyproject.toml-based build backend hooks." optional = false python-versions = ">=3.7" files = [ - {file = "pyproject_hooks-1.0.0-py3-none-any.whl", hash = "sha256:283c11acd6b928d2f6a7c73fa0d01cb2bdc5f07c57a2eeb6e83d5e56b97976f8"}, - {file = "pyproject_hooks-1.0.0.tar.gz", hash = "sha256:f271b298b97f5955d53fb12b72c1fb1948c22c1a6b70b315c54cedaca0264ef5"}, + {file = "pyproject_hooks-1.1.0-py3-none-any.whl", hash = "sha256:7ceeefe9aec63a1064c18d939bdc3adf2d8aa1988a510afec15151578b232aa2"}, + {file = "pyproject_hooks-1.1.0.tar.gz", hash = "sha256:4b37730834edbd6bd37f26ece6b44802fb1c1ee2ece0e54ddff8bfc06db86965"}, ] -[package.dependencies] -tomli = {version = ">=1.1.0", markers = "python_version < \"3.11\""} - [[package]] name = "pyreadline3" version = "3.4.1" @@ -7050,28 +7296,15 @@ files = [ {file = "pyreadline3-3.4.1.tar.gz", hash = "sha256:6f3d1f7b8a31ba32b73917cefc1f28cc660562f39aea8646d30bd6eff21f7bae"}, ] -[[package]] -name = "pysrt" -version = "1.1.2" -description = "SubRip (.srt) subtitle parser and writer" -optional = false -python-versions = "*" -files = [ - {file = "pysrt-1.1.2.tar.gz", hash = "sha256:b4f844ba33e4e7743e9db746492f3a193dc0bc112b153914698e7c1cdeb9b0b9"}, -] - -[package.dependencies] -chardet = "*" - [[package]] name = "pytest" -version = "8.1.1" +version = "8.2.1" description = "pytest: simple powerful testing with Python" optional = false python-versions = ">=3.8" files = [ - {file = "pytest-8.1.1-py3-none-any.whl", hash = "sha256:2a8386cfc11fa9d2c50ee7b2a57e7d898ef90470a7a34c4b949ff59662bb78b7"}, - {file = "pytest-8.1.1.tar.gz", hash = "sha256:ac978141a75948948817d360297b7aae0fcb9d6ff6bc9ec6d514b85d5a65c044"}, + {file = "pytest-8.2.1-py3-none-any.whl", hash = "sha256:faccc5d332b8c3719f40283d0d44aa5cf101cec36f88cde9ed8f2bc0538612b1"}, + {file = "pytest-8.2.1.tar.gz", hash = "sha256:5046e5b46d8e4cac199c373041f26be56fdb81eb4e67dc11d4e10811fc3408fd"}, ] [package.dependencies] @@ -7079,21 +7312,21 @@ colorama = {version = "*", markers = "sys_platform == \"win32\""} exceptiongroup = {version = ">=1.0.0rc8", markers = "python_version < \"3.11\""} iniconfig = "*" packaging = "*" -pluggy = ">=1.4,<2.0" +pluggy = ">=1.5,<2.0" tomli = {version = ">=1", markers = "python_version < \"3.11\""} [package.extras] -testing = ["argcomplete", "attrs (>=19.2)", "hypothesis (>=3.56)", "mock", "pygments (>=2.7.2)", "requests", "setuptools", "xmlschema"] +dev = ["argcomplete", "attrs (>=19.2)", "hypothesis (>=3.56)", "mock", "pygments (>=2.7.2)", "requests", "setuptools", "xmlschema"] [[package]] name = "pytest-asyncio" -version = "0.23.6" +version = "0.23.7" description = "Pytest support for asyncio" optional = false python-versions = ">=3.8" files = [ - {file = "pytest-asyncio-0.23.6.tar.gz", hash = "sha256:ffe523a89c1c222598c76856e76852b787504ddb72dd5d9b6617ffa8aa2cde5f"}, - {file = "pytest_asyncio-0.23.6-py3-none-any.whl", hash = "sha256:68516fdd1018ac57b846c9846b954f0393b26f094764a28c955eabb0536a4e8a"}, + {file = "pytest_asyncio-0.23.7-py3-none-any.whl", hash = "sha256:009b48127fbe44518a547bddd25611551b0e43ccdbf1e67d12479f569832c20b"}, + {file = "pytest_asyncio-0.23.7.tar.gz", hash = "sha256:5f5c72948f4c49e7db4f29f2521d4031f1c27f86e57b046126654083d4770268"}, ] [package.dependencies] @@ -7192,18 +7425,18 @@ dev = ["black", "flake8", "pre-commit"] [[package]] name = "pytest-xdist" -version = "3.5.0" +version = "3.6.1" description = "pytest xdist plugin for distributed testing, most importantly across multiple CPUs" optional = false -python-versions = ">=3.7" +python-versions = ">=3.8" files = [ - {file = "pytest-xdist-3.5.0.tar.gz", hash = "sha256:cbb36f3d67e0c478baa57fa4edc8843887e0f6cfc42d677530a36d7472b32d8a"}, - {file = "pytest_xdist-3.5.0-py3-none-any.whl", hash = "sha256:d075629c7e00b611df89f490a5063944bee7a4362a5ff11c7cc7824a03dfce24"}, + {file = "pytest_xdist-3.6.1-py3-none-any.whl", hash = "sha256:9ed4adfb68a016610848639bb7e02c9352d5d9f03d04809919e2dafc3be4cca7"}, + {file = "pytest_xdist-3.6.1.tar.gz", hash = "sha256:ead156a4db231eec769737f57668ef58a2084a34b2e55c4a8fa20d861107300d"}, ] [package.dependencies] -execnet = ">=1.1" -pytest = ">=6.2.0" +execnet = ">=2.1" +pytest = ">=7.0.0" [package.extras] psutil = ["psutil (>=3.0)"] @@ -7226,18 +7459,18 @@ six = ">=1.5" [[package]] name = "python-docx" -version = "1.1.0" +version = "1.1.2" description = "Create, read, and update Microsoft Word .docx files." optional = false python-versions = ">=3.7" files = [ - {file = "python-docx-1.1.0.tar.gz", hash = "sha256:5829b722141cf1ab79aedf0c34d9fe9924b29764584c0f2164eb2b02dcdf17c9"}, - {file = "python_docx-1.1.0-py3-none-any.whl", hash = "sha256:bac9773278098a1ddc43a52d84e22f5909c4a3080a624530b3ecb3771b07c6cd"}, + {file = "python_docx-1.1.2-py3-none-any.whl", hash = "sha256:08c20d6058916fb19853fcf080f7f42b6270d89eac9fa5f8c15f691c0017fabe"}, + {file = "python_docx-1.1.2.tar.gz", hash = "sha256:0cf1f22e95b9002addca7948e16f2cd7acdfd498047f1941ca5d293db7762efd"}, ] [package.dependencies] lxml = ">=3.1.0" -typing-extensions = "*" +typing-extensions = ">=4.9.0" [[package]] name = "python-dotenv" @@ -7255,13 +7488,13 @@ cli = ["click (>=5.0)"] [[package]] name = "python-engineio" -version = "4.9.0" +version = "4.9.1" description = "Engine.IO server and client for Python" optional = false python-versions = ">=3.6" files = [ - {file = "python-engineio-4.9.0.tar.gz", hash = "sha256:e87459c15638e567711fd156e6f9c4a402668871bed79523f0ecfec744729ec7"}, - {file = "python_engineio-4.9.0-py3-none-any.whl", hash = "sha256:979859bff770725b75e60353d7ae53b397e8b517d05ba76733b404a3dcca3e4c"}, + {file = "python_engineio-4.9.1-py3-none-any.whl", hash = "sha256:f995e702b21f6b9ebde4e2000cd2ad0112ba0e5116ec8d22fe3515e76ba9dddd"}, + {file = "python_engineio-4.9.1.tar.gz", hash = "sha256:7631cf5563086076611e494c643b3fa93dd3a854634b5488be0bba0ef9b99709"}, ] [package.dependencies] @@ -7272,20 +7505,6 @@ asyncio-client = ["aiohttp (>=3.4)"] client = ["requests (>=2.21.0)", "websocket-client (>=0.54.0)"] docs = ["sphinx"] -[[package]] -name = "python-iso639" -version = "2024.2.7" -description = "Look-up utilities for ISO 639 language codes and names" -optional = false -python-versions = ">=3.8" -files = [ - {file = "python-iso639-2024.2.7.tar.gz", hash = "sha256:c323233348c34d57c601e3e6d824088e492896bcb97a61a87f7d93401a305377"}, - {file = "python_iso639-2024.2.7-py3-none-any.whl", hash = "sha256:7b149623ff74230f4ee3061fb01d18e57a8d07c5fee2aa72907f39b7f6d16cbc"}, -] - -[package.extras] -dev = ["black (==24.1.1)", "build (==1.0.3)", "flake8 (==7.0.0)", "pytest (==8.0.0)", "twine (==4.0.2)"] - [[package]] name = "python-jose" version = "3.3.0" @@ -7307,17 +7526,6 @@ cryptography = ["cryptography (>=3.4.0)"] pycrypto = ["pyasn1", "pycrypto (>=2.6.0,<2.7.0)"] pycryptodome = ["pyasn1", "pycryptodome (>=3.3.1,<4.0.0)"] -[[package]] -name = "python-magic" -version = "0.4.27" -description = "File type identification using libmagic" -optional = false -python-versions = ">=2.7, !=3.0.*, !=3.1.*, !=3.2.*, !=3.3.*, !=3.4.*" -files = [ - {file = "python-magic-0.4.27.tar.gz", hash = "sha256:c1ba14b08e4a5f5c31a302b7721239695b2f0f058d125bd5ce1ee36b9d9d3c3b"}, - {file = "python_magic-0.4.27-py2.py3-none-any.whl", hash = "sha256:c212960ad306f700aa0d01e5d7a325d20548ff97eb9920dcd29513174f0294d3"}, -] - [[package]] name = "python-multipart" version = "0.0.7" @@ -7459,99 +7667,99 @@ files = [ [[package]] name = "pyzmq" -version = "26.0.0" +version = "26.0.3" description = "Python bindings for 0MQ" optional = false python-versions = ">=3.7" files = [ - {file = "pyzmq-26.0.0-cp310-cp310-macosx_10_15_universal2.whl", hash = "sha256:a86409f3f8eae7af5a47babd831a119bdf552e831f04d2225a313305e8e35e7c"}, - {file = "pyzmq-26.0.0-cp310-cp310-macosx_10_9_x86_64.whl", hash = "sha256:d36a46975925b8bf14b69fe6d4097bc96c91f94ceb954d56853a2211a5cc3433"}, - {file = "pyzmq-26.0.0-cp310-cp310-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:dcac700269d081ded42ed3833f9d0effe734148376204af9c0ef0fd25a3fea55"}, - {file = "pyzmq-26.0.0-cp310-cp310-manylinux_2_17_i686.manylinux2014_i686.whl", hash = "sha256:49efc420e36d2e8adc5dae41c2c1e8bb37a069e40a880cbe414a032136b194b0"}, - {file = "pyzmq-26.0.0-cp310-cp310-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:02773b96ef6a17a57680c3609645785c390198be31a4505c01ce0c846f9e7d0e"}, - {file = "pyzmq-26.0.0-cp310-cp310-manylinux_2_28_x86_64.whl", hash = "sha256:ce2c53f4963a358ba91b58ccecb84fab6d5f0622230d105c2589f7556ec53cc9"}, - {file = "pyzmq-26.0.0-cp310-cp310-musllinux_1_1_aarch64.whl", hash = "sha256:06525d996afdb0da3e8b7df0b654261455f6e86c2c3574c3f00d2bd335be78eb"}, - {file = "pyzmq-26.0.0-cp310-cp310-musllinux_1_1_i686.whl", hash = "sha256:bd3537f049dc0488adb3df29a77635eaff2a8d1d3d29a09714db6e2d10caba1a"}, - {file = "pyzmq-26.0.0-cp310-cp310-musllinux_1_1_x86_64.whl", hash = "sha256:9ce158ab54994c60fdde83300dc1e447446baacbe4ec9e4e80096f9b9a125c13"}, - {file = "pyzmq-26.0.0-cp310-cp310-win32.whl", hash = "sha256:271c9178a94b009651f8ad3ff9bb9ca45778aaf66c9e325a44d81a7498fcaa59"}, - {file = "pyzmq-26.0.0-cp310-cp310-win_amd64.whl", hash = "sha256:4216eee101d104a017042f0e4af0a45875400ff3794f1a59476e210b1a9760e2"}, - {file = "pyzmq-26.0.0-cp310-cp310-win_arm64.whl", hash = "sha256:44271793067025a07d38ad4be11f08187cce850fafd1890b42046abbcdca2fc0"}, - {file = "pyzmq-26.0.0-cp311-cp311-macosx_10_15_universal2.whl", hash = "sha256:1e87178437460b6df18e761650ef080d3ad5a41813cc3df7f9fd78714fca04c0"}, - {file = "pyzmq-26.0.0-cp311-cp311-macosx_10_9_x86_64.whl", hash = "sha256:0397c7431f3fc2bac497992d7447b036bc0d8bb3e15b158b2013201857ff2354"}, - {file = "pyzmq-26.0.0-cp311-cp311-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:8a5b4dc4d7a3f859026083906724ad1ae743261548b61d0d5abcf2d994122c2b"}, - {file = "pyzmq-26.0.0-cp311-cp311-manylinux_2_17_i686.manylinux2014_i686.whl", hash = "sha256:952e85c5e86f9ba100b78b60719b76e1ff3e13bb403cb6de687bb92e7b2179e7"}, - {file = "pyzmq-26.0.0-cp311-cp311-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:07fdeac8612a9dca6fcad6cb43c7efb75f53ba75da981fbafa949ddcde1d5662"}, - {file = "pyzmq-26.0.0-cp311-cp311-manylinux_2_28_x86_64.whl", hash = "sha256:39b8ed8d2e5da8b8351c6aa627601b3b52e8eb5e25cf6bcd26b6f012dec7870b"}, - {file = "pyzmq-26.0.0-cp311-cp311-musllinux_1_1_aarch64.whl", hash = "sha256:f6f618d7d7c9c37053a36e6dc5435c53e9e0c7a67e6fd00b69c209d07a8db4dc"}, - {file = "pyzmq-26.0.0-cp311-cp311-musllinux_1_1_i686.whl", hash = "sha256:72ae3078b1c47552e0e39fd81fc0472e880316897a733dbb3570819be19da48a"}, - {file = "pyzmq-26.0.0-cp311-cp311-musllinux_1_1_x86_64.whl", hash = "sha256:5d7fcc648445dbfd6ce9973ec7b4a33ee9307b7e88cf4816f4403ccbaf8de9ca"}, - {file = "pyzmq-26.0.0-cp311-cp311-win32.whl", hash = "sha256:9982799d7d7807beb1b26f1aa9a192baccb1a14c5d00eca881a42a0ae562671b"}, - {file = "pyzmq-26.0.0-cp311-cp311-win_amd64.whl", hash = "sha256:60f91afc76a3fc5d65dfba4f6b6020c462674b5eab6cbf00dec133d79656072d"}, - {file = "pyzmq-26.0.0-cp311-cp311-win_arm64.whl", hash = "sha256:120887d773e878136e9b33bbba656df0d4c6e2861694d07d058ec60ce1108b24"}, - {file = "pyzmq-26.0.0-cp312-cp312-macosx_10_15_universal2.whl", hash = "sha256:469f4febd63c26b20132e54cc40048d5698123794b103758ccd21b8a45890dc3"}, - {file = "pyzmq-26.0.0-cp312-cp312-macosx_10_9_x86_64.whl", hash = "sha256:c919895132cae5a458d5a17047fd33c9eb271f15bb3485add34429cfd7b76a71"}, - {file = "pyzmq-26.0.0-cp312-cp312-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:6e0e94ca9a8f23000d54e11ecd727b69fb1994baf3b6b1eedb881cdd3196ecec"}, - {file = "pyzmq-26.0.0-cp312-cp312-manylinux_2_17_i686.manylinux2014_i686.whl", hash = "sha256:a824b3301ddd003cdceb9b537804e751ac5922a845b19d4e50b4789d1cd28b24"}, - {file = "pyzmq-26.0.0-cp312-cp312-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:af9f5b1b76753584c871c1c96db8a18650886b3adf9fc8c7d4019343eb329c28"}, - {file = "pyzmq-26.0.0-cp312-cp312-manylinux_2_28_x86_64.whl", hash = "sha256:9691a6ab55d011e83d7438f6711b93b7f8aa21ee8cf3e7ad6d6d9ea26a8f3a1f"}, - {file = "pyzmq-26.0.0-cp312-cp312-musllinux_1_1_aarch64.whl", hash = "sha256:58176e2437462568b5099acf17401be64205e175e72767a8250eef84ee9ec4f5"}, - {file = "pyzmq-26.0.0-cp312-cp312-musllinux_1_1_i686.whl", hash = "sha256:d492921b398d640a1f796306531bc6911a94ce5528b798ed14e0620abd9b948d"}, - {file = "pyzmq-26.0.0-cp312-cp312-musllinux_1_1_x86_64.whl", hash = "sha256:f85bb2c47b5fd70e3cbb280e380ab97bdf9f02e1a363cb472fe0a297ac24029d"}, - {file = "pyzmq-26.0.0-cp312-cp312-win32.whl", hash = "sha256:c2e36399f0433b14a91f956bd7ecf94799c57a6f992889d45440cb05b3de8025"}, - {file = "pyzmq-26.0.0-cp312-cp312-win_amd64.whl", hash = "sha256:12ca1afb065e5b21a32b1e35bfcbc8762efc0f7555c166acaec36c93b52d7ccf"}, - {file = "pyzmq-26.0.0-cp312-cp312-win_arm64.whl", hash = "sha256:f66c925f62ce28946525c32a094e346dd8da6c828d568d7ecda97f5ae36089c3"}, - {file = "pyzmq-26.0.0-cp37-cp37m-macosx_10_9_x86_64.whl", hash = "sha256:e495ff09514fc657c5fb2cba0aac082ce0494c6217230783297da9008333a8db"}, - {file = "pyzmq-26.0.0-cp37-cp37m-manylinux_2_12_i686.manylinux2010_i686.whl", hash = "sha256:5736c9a54c27319a65ffc72dbf684538f2773237e94ba50b7f1f74f4e3cb9115"}, - {file = "pyzmq-26.0.0-cp37-cp37m-manylinux_2_12_x86_64.manylinux2010_x86_64.whl", hash = "sha256:cd62830100b9b1adb51da4094142bd680d51daf9a0f6f3f39e1f80474eddc011"}, - {file = "pyzmq-26.0.0-cp37-cp37m-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:544a7ee271fac41ddc0ba11f4b128ddd5f2bf0a3186d25be331ed8bfbb253536"}, - {file = "pyzmq-26.0.0-cp37-cp37m-musllinux_1_1_aarch64.whl", hash = "sha256:694625c2c22be57149e9439757ee02ee4fb6432f7054dc5008bbbc33ef388d1c"}, - {file = "pyzmq-26.0.0-cp37-cp37m-musllinux_1_1_i686.whl", hash = "sha256:90ba8f7c6f34c2c11179b293050417c14661035969ef3f8867200ea6901f9000"}, - {file = "pyzmq-26.0.0-cp37-cp37m-musllinux_1_1_x86_64.whl", hash = "sha256:ab2e55046263c8b24e64116e80b63cf701df747b44aadcf317aa47c8af2dfe67"}, - {file = "pyzmq-26.0.0-cp37-cp37m-win32.whl", hash = "sha256:7353d231686bbc96c458b934f134ff9165a1e9dd0a2ea8f724469e44bcc2c07a"}, - {file = "pyzmq-26.0.0-cp37-cp37m-win_amd64.whl", hash = "sha256:1df2b992eabc59f078ca916e9ac8b5bd463536bf7828c13940b35b8555ed7861"}, - {file = "pyzmq-26.0.0-cp38-cp38-macosx_10_15_universal2.whl", hash = "sha256:2397364289334840c81ff1ef95a5a5ee326de01c1437cc38f7e16785a7b653d9"}, - {file = "pyzmq-26.0.0-cp38-cp38-macosx_10_9_x86_64.whl", hash = "sha256:c952cf06edbbd2d67f627037e2c8e3187ca834d6b9a222e3a3037f80d393a345"}, - {file = "pyzmq-26.0.0-cp38-cp38-manylinux_2_12_i686.manylinux2010_i686.whl", hash = "sha256:55f390adb763196d75a2e8c18277b4344f8a7f94f223b5d096324c5b47c2471e"}, - {file = "pyzmq-26.0.0-cp38-cp38-manylinux_2_12_x86_64.manylinux2010_x86_64.whl", hash = "sha256:1da5e11862a994360319df4f425e89662563683334e1079684eb77b9a6478ae2"}, - {file = "pyzmq-26.0.0-cp38-cp38-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:72340614ea23904cff824109eb025648bdf32775d87f5814d3ba6f2335a853f3"}, - {file = "pyzmq-26.0.0-cp38-cp38-musllinux_1_1_aarch64.whl", hash = "sha256:aa7431d12ebb5433a92e99dc326d45eaf52a90046032bac4c558b4bdeee5dc7a"}, - {file = "pyzmq-26.0.0-cp38-cp38-musllinux_1_1_i686.whl", hash = "sha256:a2b13008a693c0ffccaeeebcc5ab5f2398cced3b5bf482ba89a38fe56b00eb10"}, - {file = "pyzmq-26.0.0-cp38-cp38-musllinux_1_1_x86_64.whl", hash = "sha256:9d68284ce48617c97e675ed8a89db12a098eaa871a026999c9a10351f547f1fe"}, - {file = "pyzmq-26.0.0-cp38-cp38-win32.whl", hash = "sha256:8783857a8c8df648a70c81ea3ff53ee71e5bf18468ca5ac3414f419fe8f3bd93"}, - {file = "pyzmq-26.0.0-cp38-cp38-win_amd64.whl", hash = "sha256:36d0f2fcbdba1fda8ff213bd17db7ddcba848aa70480ade3fe70401dce606511"}, - {file = "pyzmq-26.0.0-cp39-cp39-macosx_10_15_universal2.whl", hash = "sha256:dd87df01bc8eca392f0d505924087ccafdc4885a498e68df9f09eca9fdc736f1"}, - {file = "pyzmq-26.0.0-cp39-cp39-macosx_10_9_x86_64.whl", hash = "sha256:abc08b2e688714216870a6ab974733d4a1fcf0437d250ac8feed59c4c5c3f395"}, - {file = "pyzmq-26.0.0-cp39-cp39-manylinux_2_12_i686.manylinux2010_i686.whl", hash = "sha256:dd13a30454adcf2f361155ea563ec99036678131a17c6b1a3f74426212c14ddc"}, - {file = "pyzmq-26.0.0-cp39-cp39-manylinux_2_12_x86_64.manylinux2010_x86_64.whl", hash = "sha256:a0562054930471b386a44b0887504687c4e7adf4ba89bddc2e5959d16c371764"}, - {file = "pyzmq-26.0.0-cp39-cp39-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:dc7badded4b025dbc25f34b95503b71c952235e6e40de40995c0c120efb4ff6d"}, - {file = "pyzmq-26.0.0-cp39-cp39-musllinux_1_1_aarch64.whl", hash = "sha256:f971e77358384b8bcf3e9a7577cf84f97adbd6359f943e30cbff66087afcb279"}, - {file = "pyzmq-26.0.0-cp39-cp39-musllinux_1_1_i686.whl", hash = "sha256:ca4ebbef3f5fbd271eafc7c22ebbb88b74232f08b0e51759113f30a8d01f6843"}, - {file = "pyzmq-26.0.0-cp39-cp39-musllinux_1_1_x86_64.whl", hash = "sha256:cc98fbd4ce4ef8a0fbe97ab6d495aaa7764461e5a45f24c04f1d234e7bb80293"}, - {file = "pyzmq-26.0.0-cp39-cp39-win32.whl", hash = "sha256:a5207bc2a923118e9afb57fee679be016ea138c27d1be5747118966e2d5d9450"}, - {file = "pyzmq-26.0.0-cp39-cp39-win_amd64.whl", hash = "sha256:e0c08a6070358a2984900a4518e2dacbfaf24aac018ab086d7ac2f6069b13340"}, - {file = "pyzmq-26.0.0-cp39-cp39-win_arm64.whl", hash = "sha256:eae3dcc185c405cf645480745c45346a1f42afce240f69a589095e41bd2b9e3d"}, - {file = "pyzmq-26.0.0-pp310-pypy310_pp73-macosx_10_9_x86_64.whl", hash = "sha256:71a8f010e23dfd61c531084a2b72a81885017da28352540f0b7799ca8423c044"}, - {file = "pyzmq-26.0.0-pp310-pypy310_pp73-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:5b48b7e417c56486932fb0c01fecd24916fe6bc359c03a654aa8c63fa33e3d76"}, - {file = "pyzmq-26.0.0-pp310-pypy310_pp73-manylinux_2_17_i686.manylinux2014_i686.whl", hash = "sha256:2806942185b40a3477d9b300c6f71354dd2be37e3f61a43193c96caa51e284d1"}, - {file = "pyzmq-26.0.0-pp310-pypy310_pp73-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:ed127aff75a3df142ae7a883c49a85b0b2f863b59fa1b8e4280335f5ebab5fd0"}, - {file = "pyzmq-26.0.0-pp310-pypy310_pp73-win_amd64.whl", hash = "sha256:903b77dd2f17286496fa3ec902bc523f4502b0c64a2892df4b021222a2ba95fe"}, - {file = "pyzmq-26.0.0-pp37-pypy37_pp73-macosx_10_9_x86_64.whl", hash = "sha256:321a6872a9371709a62b3a4a14c1e9b5b47549371197c0c2164d2288510cd6d6"}, - {file = "pyzmq-26.0.0-pp37-pypy37_pp73-manylinux_2_12_i686.manylinux2010_i686.whl", hash = "sha256:cac954dc83c84e9d9d65f2359d402d7e79ae094d7808d578c9e9cc2c350c5a64"}, - {file = "pyzmq-26.0.0-pp37-pypy37_pp73-manylinux_2_12_x86_64.manylinux2010_x86_64.whl", hash = "sha256:ac6f54c399638858e0b2a3153f23934604f3a8c9bb5a9cf865060cc658b1e096"}, - {file = "pyzmq-26.0.0-pp37-pypy37_pp73-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:40af30c4cd0a046029d7b5272d02a649f9b1f89fb1361bbc90ba08d55ac88273"}, - {file = "pyzmq-26.0.0-pp37-pypy37_pp73-win_amd64.whl", hash = "sha256:814245422f1c7707634397621dbcbeea7671fdc5c43d1ae592f4e0e45179e7fb"}, - {file = "pyzmq-26.0.0-pp38-pypy38_pp73-macosx_10_9_x86_64.whl", hash = "sha256:6d3d7ef786e778351e6c51b45906e16506ad98bb78b99304032cb1876dfc81d2"}, - {file = "pyzmq-26.0.0-pp38-pypy38_pp73-manylinux_2_12_i686.manylinux2010_i686.whl", hash = "sha256:36a85da0eab4c5337d0de7f975cca011208a59e9d0637e0c1b571764f1dd4a8f"}, - {file = "pyzmq-26.0.0-pp38-pypy38_pp73-manylinux_2_12_x86_64.manylinux2010_x86_64.whl", hash = "sha256:1d64889bfe4109f4a59a72b1d21416550465020642d6f556efd044951386bd38"}, - {file = "pyzmq-26.0.0-pp38-pypy38_pp73-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:80fdea3e9e34c480bfccbb910f75380196ae9d1c12880c21743c845ebe6b13aa"}, - {file = "pyzmq-26.0.0-pp38-pypy38_pp73-win_amd64.whl", hash = "sha256:7129efc54dc48f566eed5422bc555ba4e472e40a1f9de328577c90ade47ccf5d"}, - {file = "pyzmq-26.0.0-pp39-pypy39_pp73-macosx_10_9_x86_64.whl", hash = "sha256:0ec5147095d6065b0e3a38a1a34f7859ab46496f3d5ce71134165893e9f83674"}, - {file = "pyzmq-26.0.0-pp39-pypy39_pp73-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:7a1cc0445038a394479ad36b7e3cf55a19ee40099c031f65de872b8ee7025e79"}, - {file = "pyzmq-26.0.0-pp39-pypy39_pp73-manylinux_2_17_i686.manylinux2014_i686.whl", hash = "sha256:b377b520e618c30c827966c274dd62ce7e15c72ce8767fae6193b6bdd1deb502"}, - {file = "pyzmq-26.0.0-pp39-pypy39_pp73-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:fc907b26d287e6981d1e531c8fc21a0f94fe46a17493a8322eb3c75f8b561334"}, - {file = "pyzmq-26.0.0-pp39-pypy39_pp73-manylinux_2_28_x86_64.whl", hash = "sha256:580dd4b1c2edd51f284df0209bf439899f425ed00cb803a85ddc6cf10c866688"}, - {file = "pyzmq-26.0.0-pp39-pypy39_pp73-win_amd64.whl", hash = "sha256:08db8071020181173c70cf2dad239e5e21e5b2e95f95b0ece0da39a70f5a483c"}, - {file = "pyzmq-26.0.0.tar.gz", hash = "sha256:10ff405db5cee3bbd7aa143d78b25d90356097aed7864e50f0ae644e08759fe9"}, + {file = "pyzmq-26.0.3-cp310-cp310-macosx_10_15_universal2.whl", hash = "sha256:44dd6fc3034f1eaa72ece33588867df9e006a7303725a12d64c3dff92330f625"}, + {file = "pyzmq-26.0.3-cp310-cp310-macosx_10_9_x86_64.whl", hash = "sha256:acb704195a71ac5ea5ecf2811c9ee19ecdc62b91878528302dd0be1b9451cc90"}, + {file = "pyzmq-26.0.3-cp310-cp310-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:5dbb9c997932473a27afa93954bb77a9f9b786b4ccf718d903f35da3232317de"}, + {file = "pyzmq-26.0.3-cp310-cp310-manylinux_2_17_i686.manylinux2014_i686.whl", hash = "sha256:6bcb34f869d431799c3ee7d516554797f7760cb2198ecaa89c3f176f72d062be"}, + {file = "pyzmq-26.0.3-cp310-cp310-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:38ece17ec5f20d7d9b442e5174ae9f020365d01ba7c112205a4d59cf19dc38ee"}, + {file = "pyzmq-26.0.3-cp310-cp310-manylinux_2_28_x86_64.whl", hash = "sha256:ba6e5e6588e49139a0979d03a7deb9c734bde647b9a8808f26acf9c547cab1bf"}, + {file = "pyzmq-26.0.3-cp310-cp310-musllinux_1_1_aarch64.whl", hash = "sha256:3bf8b000a4e2967e6dfdd8656cd0757d18c7e5ce3d16339e550bd462f4857e59"}, + {file = "pyzmq-26.0.3-cp310-cp310-musllinux_1_1_i686.whl", hash = "sha256:2136f64fbb86451dbbf70223635a468272dd20075f988a102bf8a3f194a411dc"}, + {file = "pyzmq-26.0.3-cp310-cp310-musllinux_1_1_x86_64.whl", hash = "sha256:e8918973fbd34e7814f59143c5f600ecd38b8038161239fd1a3d33d5817a38b8"}, + {file = "pyzmq-26.0.3-cp310-cp310-win32.whl", hash = "sha256:0aaf982e68a7ac284377d051c742610220fd06d330dcd4c4dbb4cdd77c22a537"}, + {file = "pyzmq-26.0.3-cp310-cp310-win_amd64.whl", hash = "sha256:f1a9b7d00fdf60b4039f4455afd031fe85ee8305b019334b72dcf73c567edc47"}, + {file = "pyzmq-26.0.3-cp310-cp310-win_arm64.whl", hash = "sha256:80b12f25d805a919d53efc0a5ad7c0c0326f13b4eae981a5d7b7cc343318ebb7"}, + {file = "pyzmq-26.0.3-cp311-cp311-macosx_10_15_universal2.whl", hash = "sha256:a72a84570f84c374b4c287183debc776dc319d3e8ce6b6a0041ce2e400de3f32"}, + {file = "pyzmq-26.0.3-cp311-cp311-macosx_10_9_x86_64.whl", hash = "sha256:7ca684ee649b55fd8f378127ac8462fb6c85f251c2fb027eb3c887e8ee347bcd"}, + {file = "pyzmq-26.0.3-cp311-cp311-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:e222562dc0f38571c8b1ffdae9d7adb866363134299264a1958d077800b193b7"}, + {file = "pyzmq-26.0.3-cp311-cp311-manylinux_2_17_i686.manylinux2014_i686.whl", hash = "sha256:f17cde1db0754c35a91ac00b22b25c11da6eec5746431d6e5092f0cd31a3fea9"}, + {file = "pyzmq-26.0.3-cp311-cp311-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:4b7c0c0b3244bb2275abe255d4a30c050d541c6cb18b870975553f1fb6f37527"}, + {file = "pyzmq-26.0.3-cp311-cp311-manylinux_2_28_x86_64.whl", hash = "sha256:ac97a21de3712afe6a6c071abfad40a6224fd14fa6ff0ff8d0c6e6cd4e2f807a"}, + {file = "pyzmq-26.0.3-cp311-cp311-musllinux_1_1_aarch64.whl", hash = "sha256:88b88282e55fa39dd556d7fc04160bcf39dea015f78e0cecec8ff4f06c1fc2b5"}, + {file = "pyzmq-26.0.3-cp311-cp311-musllinux_1_1_i686.whl", hash = "sha256:72b67f966b57dbd18dcc7efbc1c7fc9f5f983e572db1877081f075004614fcdd"}, + {file = "pyzmq-26.0.3-cp311-cp311-musllinux_1_1_x86_64.whl", hash = "sha256:f4b6cecbbf3b7380f3b61de3a7b93cb721125dc125c854c14ddc91225ba52f83"}, + {file = "pyzmq-26.0.3-cp311-cp311-win32.whl", hash = "sha256:eed56b6a39216d31ff8cd2f1d048b5bf1700e4b32a01b14379c3b6dde9ce3aa3"}, + {file = "pyzmq-26.0.3-cp311-cp311-win_amd64.whl", hash = "sha256:3191d312c73e3cfd0f0afdf51df8405aafeb0bad71e7ed8f68b24b63c4f36500"}, + {file = "pyzmq-26.0.3-cp311-cp311-win_arm64.whl", hash = "sha256:b6907da3017ef55139cf0e417c5123a84c7332520e73a6902ff1f79046cd3b94"}, + {file = "pyzmq-26.0.3-cp312-cp312-macosx_10_15_universal2.whl", hash = "sha256:068ca17214038ae986d68f4a7021f97e187ed278ab6dccb79f837d765a54d753"}, + {file = "pyzmq-26.0.3-cp312-cp312-macosx_10_9_x86_64.whl", hash = "sha256:7821d44fe07335bea256b9f1f41474a642ca55fa671dfd9f00af8d68a920c2d4"}, + {file = "pyzmq-26.0.3-cp312-cp312-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:eeb438a26d87c123bb318e5f2b3d86a36060b01f22fbdffd8cf247d52f7c9a2b"}, + {file = "pyzmq-26.0.3-cp312-cp312-manylinux_2_17_i686.manylinux2014_i686.whl", hash = "sha256:69ea9d6d9baa25a4dc9cef5e2b77b8537827b122214f210dd925132e34ae9b12"}, + {file = "pyzmq-26.0.3-cp312-cp312-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:7daa3e1369355766dea11f1d8ef829905c3b9da886ea3152788dc25ee6079e02"}, + {file = "pyzmq-26.0.3-cp312-cp312-manylinux_2_28_x86_64.whl", hash = "sha256:6ca7a9a06b52d0e38ccf6bca1aeff7be178917893f3883f37b75589d42c4ac20"}, + {file = "pyzmq-26.0.3-cp312-cp312-musllinux_1_1_aarch64.whl", hash = "sha256:1b7d0e124948daa4d9686d421ef5087c0516bc6179fdcf8828b8444f8e461a77"}, + {file = "pyzmq-26.0.3-cp312-cp312-musllinux_1_1_i686.whl", hash = "sha256:e746524418b70f38550f2190eeee834db8850088c834d4c8406fbb9bc1ae10b2"}, + {file = "pyzmq-26.0.3-cp312-cp312-musllinux_1_1_x86_64.whl", hash = "sha256:6b3146f9ae6af82c47a5282ac8803523d381b3b21caeae0327ed2f7ecb718798"}, + {file = "pyzmq-26.0.3-cp312-cp312-win32.whl", hash = "sha256:2b291d1230845871c00c8462c50565a9cd6026fe1228e77ca934470bb7d70ea0"}, + {file = "pyzmq-26.0.3-cp312-cp312-win_amd64.whl", hash = "sha256:926838a535c2c1ea21c903f909a9a54e675c2126728c21381a94ddf37c3cbddf"}, + {file = "pyzmq-26.0.3-cp312-cp312-win_arm64.whl", hash = "sha256:5bf6c237f8c681dfb91b17f8435b2735951f0d1fad10cc5dfd96db110243370b"}, + {file = "pyzmq-26.0.3-cp37-cp37m-macosx_10_9_x86_64.whl", hash = "sha256:0c0991f5a96a8e620f7691e61178cd8f457b49e17b7d9cfa2067e2a0a89fc1d5"}, + {file = "pyzmq-26.0.3-cp37-cp37m-manylinux_2_12_i686.manylinux2010_i686.whl", hash = "sha256:dbf012d8fcb9f2cf0643b65df3b355fdd74fc0035d70bb5c845e9e30a3a4654b"}, + {file = "pyzmq-26.0.3-cp37-cp37m-manylinux_2_12_x86_64.manylinux2010_x86_64.whl", hash = "sha256:01fbfbeb8249a68d257f601deb50c70c929dc2dfe683b754659569e502fbd3aa"}, + {file = "pyzmq-26.0.3-cp37-cp37m-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:1c8eb19abe87029c18f226d42b8a2c9efdd139d08f8bf6e085dd9075446db450"}, + {file = "pyzmq-26.0.3-cp37-cp37m-musllinux_1_1_aarch64.whl", hash = "sha256:5344b896e79800af86ad643408ca9aa303a017f6ebff8cee5a3163c1e9aec987"}, + {file = "pyzmq-26.0.3-cp37-cp37m-musllinux_1_1_i686.whl", hash = "sha256:204e0f176fd1d067671157d049466869b3ae1fc51e354708b0dc41cf94e23a3a"}, + {file = "pyzmq-26.0.3-cp37-cp37m-musllinux_1_1_x86_64.whl", hash = "sha256:a42db008d58530efa3b881eeee4991146de0b790e095f7ae43ba5cc612decbc5"}, + {file = "pyzmq-26.0.3-cp37-cp37m-win32.whl", hash = "sha256:8d7a498671ca87e32b54cb47c82a92b40130a26c5197d392720a1bce1b3c77cf"}, + {file = "pyzmq-26.0.3-cp37-cp37m-win_amd64.whl", hash = "sha256:3b4032a96410bdc760061b14ed6a33613ffb7f702181ba999df5d16fb96ba16a"}, + {file = "pyzmq-26.0.3-cp38-cp38-macosx_10_15_universal2.whl", hash = "sha256:2cc4e280098c1b192c42a849de8de2c8e0f3a84086a76ec5b07bfee29bda7d18"}, + {file = "pyzmq-26.0.3-cp38-cp38-macosx_10_9_x86_64.whl", hash = "sha256:5bde86a2ed3ce587fa2b207424ce15b9a83a9fa14422dcc1c5356a13aed3df9d"}, + {file = "pyzmq-26.0.3-cp38-cp38-manylinux_2_12_i686.manylinux2010_i686.whl", hash = "sha256:34106f68e20e6ff253c9f596ea50397dbd8699828d55e8fa18bd4323d8d966e6"}, + {file = "pyzmq-26.0.3-cp38-cp38-manylinux_2_12_x86_64.manylinux2010_x86_64.whl", hash = "sha256:ebbbd0e728af5db9b04e56389e2299a57ea8b9dd15c9759153ee2455b32be6ad"}, + {file = "pyzmq-26.0.3-cp38-cp38-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:f6b1d1c631e5940cac5a0b22c5379c86e8df6a4ec277c7a856b714021ab6cfad"}, + {file = "pyzmq-26.0.3-cp38-cp38-musllinux_1_1_aarch64.whl", hash = "sha256:e891ce81edd463b3b4c3b885c5603c00141151dd9c6936d98a680c8c72fe5c67"}, + {file = "pyzmq-26.0.3-cp38-cp38-musllinux_1_1_i686.whl", hash = "sha256:9b273ecfbc590a1b98f014ae41e5cf723932f3b53ba9367cfb676f838038b32c"}, + {file = "pyzmq-26.0.3-cp38-cp38-musllinux_1_1_x86_64.whl", hash = "sha256:b32bff85fb02a75ea0b68f21e2412255b5731f3f389ed9aecc13a6752f58ac97"}, + {file = "pyzmq-26.0.3-cp38-cp38-win32.whl", hash = "sha256:f6c21c00478a7bea93caaaef9e7629145d4153b15a8653e8bb4609d4bc70dbfc"}, + {file = "pyzmq-26.0.3-cp38-cp38-win_amd64.whl", hash = "sha256:3401613148d93ef0fd9aabdbddb212de3db7a4475367f49f590c837355343972"}, + {file = "pyzmq-26.0.3-cp39-cp39-macosx_10_15_universal2.whl", hash = "sha256:2ed8357f4c6e0daa4f3baf31832df8a33334e0fe5b020a61bc8b345a3db7a606"}, + {file = "pyzmq-26.0.3-cp39-cp39-macosx_10_9_x86_64.whl", hash = "sha256:c1c8f2a2ca45292084c75bb6d3a25545cff0ed931ed228d3a1810ae3758f975f"}, + {file = "pyzmq-26.0.3-cp39-cp39-manylinux_2_12_i686.manylinux2010_i686.whl", hash = "sha256:b63731993cdddcc8e087c64e9cf003f909262b359110070183d7f3025d1c56b5"}, + {file = "pyzmq-26.0.3-cp39-cp39-manylinux_2_12_x86_64.manylinux2010_x86_64.whl", hash = "sha256:b3cd31f859b662ac5d7f4226ec7d8bd60384fa037fc02aee6ff0b53ba29a3ba8"}, + {file = "pyzmq-26.0.3-cp39-cp39-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:115f8359402fa527cf47708d6f8a0f8234f0e9ca0cab7c18c9c189c194dbf620"}, + {file = "pyzmq-26.0.3-cp39-cp39-musllinux_1_1_aarch64.whl", hash = "sha256:715bdf952b9533ba13dfcf1f431a8f49e63cecc31d91d007bc1deb914f47d0e4"}, + {file = "pyzmq-26.0.3-cp39-cp39-musllinux_1_1_i686.whl", hash = "sha256:e1258c639e00bf5e8a522fec6c3eaa3e30cf1c23a2f21a586be7e04d50c9acab"}, + {file = "pyzmq-26.0.3-cp39-cp39-musllinux_1_1_x86_64.whl", hash = "sha256:15c59e780be8f30a60816a9adab900c12a58d79c1ac742b4a8df044ab2a6d920"}, + {file = "pyzmq-26.0.3-cp39-cp39-win32.whl", hash = "sha256:d0cdde3c78d8ab5b46595054e5def32a755fc028685add5ddc7403e9f6de9879"}, + {file = "pyzmq-26.0.3-cp39-cp39-win_amd64.whl", hash = "sha256:ce828058d482ef860746bf532822842e0ff484e27f540ef5c813d516dd8896d2"}, + {file = "pyzmq-26.0.3-cp39-cp39-win_arm64.whl", hash = "sha256:788f15721c64109cf720791714dc14afd0f449d63f3a5487724f024345067381"}, + {file = "pyzmq-26.0.3-pp310-pypy310_pp73-macosx_10_9_x86_64.whl", hash = "sha256:2c18645ef6294d99b256806e34653e86236eb266278c8ec8112622b61db255de"}, + {file = "pyzmq-26.0.3-pp310-pypy310_pp73-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:7e6bc96ebe49604df3ec2c6389cc3876cabe475e6bfc84ced1bf4e630662cb35"}, + {file = "pyzmq-26.0.3-pp310-pypy310_pp73-manylinux_2_17_i686.manylinux2014_i686.whl", hash = "sha256:971e8990c5cc4ddcff26e149398fc7b0f6a042306e82500f5e8db3b10ce69f84"}, + {file = "pyzmq-26.0.3-pp310-pypy310_pp73-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:d8416c23161abd94cc7da80c734ad7c9f5dbebdadfdaa77dad78244457448223"}, + {file = "pyzmq-26.0.3-pp310-pypy310_pp73-win_amd64.whl", hash = "sha256:082a2988364b60bb5de809373098361cf1dbb239623e39e46cb18bc035ed9c0c"}, + {file = "pyzmq-26.0.3-pp37-pypy37_pp73-macosx_10_9_x86_64.whl", hash = "sha256:d57dfbf9737763b3a60d26e6800e02e04284926329aee8fb01049635e957fe81"}, + {file = "pyzmq-26.0.3-pp37-pypy37_pp73-manylinux_2_12_i686.manylinux2010_i686.whl", hash = "sha256:77a85dca4c2430ac04dc2a2185c2deb3858a34fe7f403d0a946fa56970cf60a1"}, + {file = "pyzmq-26.0.3-pp37-pypy37_pp73-manylinux_2_12_x86_64.manylinux2010_x86_64.whl", hash = "sha256:4c82a6d952a1d555bf4be42b6532927d2a5686dd3c3e280e5f63225ab47ac1f5"}, + {file = "pyzmq-26.0.3-pp37-pypy37_pp73-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:4496b1282c70c442809fc1b151977c3d967bfb33e4e17cedbf226d97de18f709"}, + {file = "pyzmq-26.0.3-pp37-pypy37_pp73-win_amd64.whl", hash = "sha256:e4946d6bdb7ba972dfda282f9127e5756d4f299028b1566d1245fa0d438847e6"}, + {file = "pyzmq-26.0.3-pp38-pypy38_pp73-macosx_10_9_x86_64.whl", hash = "sha256:03c0ae165e700364b266876d712acb1ac02693acd920afa67da2ebb91a0b3c09"}, + {file = "pyzmq-26.0.3-pp38-pypy38_pp73-manylinux_2_12_i686.manylinux2010_i686.whl", hash = "sha256:3e3070e680f79887d60feeda051a58d0ac36622e1759f305a41059eff62c6da7"}, + {file = "pyzmq-26.0.3-pp38-pypy38_pp73-manylinux_2_12_x86_64.manylinux2010_x86_64.whl", hash = "sha256:6ca08b840fe95d1c2bd9ab92dac5685f949fc6f9ae820ec16193e5ddf603c3b2"}, + {file = "pyzmq-26.0.3-pp38-pypy38_pp73-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:e76654e9dbfb835b3518f9938e565c7806976c07b37c33526b574cc1a1050480"}, + {file = "pyzmq-26.0.3-pp38-pypy38_pp73-win_amd64.whl", hash = "sha256:871587bdadd1075b112e697173e946a07d722459d20716ceb3d1bd6c64bd08ce"}, + {file = "pyzmq-26.0.3-pp39-pypy39_pp73-macosx_10_9_x86_64.whl", hash = "sha256:d0a2d1bd63a4ad79483049b26514e70fa618ce6115220da9efdff63688808b17"}, + {file = "pyzmq-26.0.3-pp39-pypy39_pp73-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:0270b49b6847f0d106d64b5086e9ad5dc8a902413b5dbbb15d12b60f9c1747a4"}, + {file = "pyzmq-26.0.3-pp39-pypy39_pp73-manylinux_2_17_i686.manylinux2014_i686.whl", hash = "sha256:703c60b9910488d3d0954ca585c34f541e506a091a41930e663a098d3b794c67"}, + {file = "pyzmq-26.0.3-pp39-pypy39_pp73-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:74423631b6be371edfbf7eabb02ab995c2563fee60a80a30829176842e71722a"}, + {file = "pyzmq-26.0.3-pp39-pypy39_pp73-manylinux_2_28_x86_64.whl", hash = "sha256:4adfbb5451196842a88fda3612e2c0414134874bffb1c2ce83ab4242ec9e027d"}, + {file = "pyzmq-26.0.3-pp39-pypy39_pp73-win_amd64.whl", hash = "sha256:3516119f4f9b8671083a70b6afaa0a070f5683e431ab3dc26e9215620d7ca1ad"}, + {file = "pyzmq-26.0.3.tar.gz", hash = "sha256:dba7d9f2e047dfa2bca3b01f4f84aa5246725203d6284e3790f2ca15fba6b40a"}, ] [package.dependencies] @@ -7559,26 +7767,29 @@ cffi = {version = "*", markers = "implementation_name == \"pypy\""} [[package]] name = "qdrant-client" -version = "1.8.2" +version = "1.9.1" description = "Client library for the Qdrant vector search engine" optional = false python-versions = ">=3.8" files = [ - {file = "qdrant_client-1.8.2-py3-none-any.whl", hash = "sha256:ee5341c0486d09e4346b0f5ef7781436e6d8cdbf1d5ecddfde7adb3647d353a8"}, - {file = "qdrant_client-1.8.2.tar.gz", hash = "sha256:65078d5328bc0393f42a46a31cd319a989b8285bf3958360acf1dffffdf4cc4e"}, + {file = "qdrant_client-1.9.1-py3-none-any.whl", hash = "sha256:b9b7e0e5c1a51410d8bb5106a869a51e12f92ab45a99030f27aba790553bd2c8"}, + {file = "qdrant_client-1.9.1.tar.gz", hash = "sha256:186b9c31d95aefe8f2db84b7746402d7365bd63b305550e530e31bde2002ce79"}, ] [package.dependencies] grpcio = ">=1.41.0" grpcio-tools = ">=1.41.0" httpx = {version = ">=0.20.0", extras = ["http2"]} -numpy = {version = ">=1.21", markers = "python_version >= \"3.8\" and python_version < \"3.12\""} +numpy = [ + {version = ">=1.21", markers = "python_version >= \"3.8\" and python_version < \"3.12\""}, + {version = ">=1.26", markers = "python_version >= \"3.12\""}, +] portalocker = ">=2.7.0,<3.0.0" pydantic = ">=1.10.8" urllib3 = ">=1.26.14,<3" [package.extras] -fastembed = ["fastembed (==0.2.5)"] +fastembed = ["fastembed (==0.2.6)"] [[package]] name = "qianfan" @@ -7616,108 +7827,6 @@ all = ["emoji", "langchain (>=0.0.321)", "ltp", "sentencepiece", "torch", "torch data-clean = ["emoji", "ltp", "sentencepiece", "torch", "torch (<=1.13.1)"] langchain = ["langchain (>=0.0.321)"] -[[package]] -name = "rapidfuzz" -version = "3.8.1" -description = "rapid fuzzy string matching" -optional = false -python-versions = ">=3.8" -files = [ - {file = "rapidfuzz-3.8.1-cp310-cp310-macosx_10_9_universal2.whl", hash = "sha256:1b176f01490b48337183da5b4223005bc0c2354a4faee5118917d2fba0bedc1c"}, - {file = "rapidfuzz-3.8.1-cp310-cp310-macosx_10_9_x86_64.whl", hash = "sha256:0798e32304b8009d215026bf7e1c448f1831da0a03987b7de30059a41bee92f3"}, - {file = "rapidfuzz-3.8.1-cp310-cp310-macosx_11_0_arm64.whl", hash = "sha256:ad4dbd06c1f579eb043b2dcfc635bc6c9fb858240a70f0abd3bed84d8ac79994"}, - {file = "rapidfuzz-3.8.1-cp310-cp310-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:e6ec696a268e8d730b42711537e500f7397afc06125c0e8fa9c8211386d315a5"}, - {file = "rapidfuzz-3.8.1-cp310-cp310-manylinux_2_17_i686.manylinux2014_i686.whl", hash = "sha256:2a8a007fdc5cf646e48e361a39eabe725b93af7673c5ab90294e551cae72ff58"}, - {file = "rapidfuzz-3.8.1-cp310-cp310-manylinux_2_17_ppc64le.manylinux2014_ppc64le.whl", hash = "sha256:68b185a0397aebe78bcc5d0e1efd96509d4e2f3c4a05996e5c843732f547e9ef"}, - {file = "rapidfuzz-3.8.1-cp310-cp310-manylinux_2_17_s390x.manylinux2014_s390x.whl", hash = "sha256:267ff42370e031195e3020fff075420c136b69dc918ecb5542ec75c1e36af81f"}, - {file = "rapidfuzz-3.8.1-cp310-cp310-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:987cd277d27d14301019fdf61c17524f6127f5d364be5482228726049d8e0d10"}, - {file = "rapidfuzz-3.8.1-cp310-cp310-musllinux_1_1_aarch64.whl", hash = "sha256:bc5a1ec3bd05b55d3070d557c0cdd4412272d51b4966c79aa3e9da207bd33d65"}, - {file = "rapidfuzz-3.8.1-cp310-cp310-musllinux_1_1_i686.whl", hash = "sha256:aa223c73c59cc45c12eaa9c439318084003beced0447ff92b578a890288e19eb"}, - {file = "rapidfuzz-3.8.1-cp310-cp310-musllinux_1_1_ppc64le.whl", hash = "sha256:d4276c7ee061db0bac54846933b40339f60085523675f917f37de24a4b3ce0ee"}, - {file = "rapidfuzz-3.8.1-cp310-cp310-musllinux_1_1_s390x.whl", hash = "sha256:2ba0e43e9a94d256a704a674c7010e6f8ef9225edf7287cf3e7f66c9894b06cd"}, - {file = "rapidfuzz-3.8.1-cp310-cp310-musllinux_1_1_x86_64.whl", hash = "sha256:c22b32a57ab47afb207e8fe4bd7bb58c90f9291a63723cafd4e704742166e368"}, - {file = "rapidfuzz-3.8.1-cp310-cp310-win32.whl", hash = "sha256:50db3867864422bf6a6435ea65b9ac9de71ef52ed1e05d62f498cd430189eece"}, - {file = "rapidfuzz-3.8.1-cp310-cp310-win_amd64.whl", hash = "sha256:bca5acf77508d1822023a85118c2dd8d3c16abdd56d2762359a46deb14daa5e0"}, - {file = "rapidfuzz-3.8.1-cp310-cp310-win_arm64.whl", hash = "sha256:c763d99cf087e7b2c5be0cf34ae9a0e1b031f5057d2341a0a0ed782458645b7e"}, - {file = "rapidfuzz-3.8.1-cp311-cp311-macosx_10_9_universal2.whl", hash = "sha256:30c282612b7ebf2d7646ebebfd98dd308c582246a94d576734e4b0162f57baf4"}, - {file = "rapidfuzz-3.8.1-cp311-cp311-macosx_10_9_x86_64.whl", hash = "sha256:2c6a43446f0cd8ff347b1fbb918dc0d657bebf484ddfa960ee069e422a477428"}, - {file = "rapidfuzz-3.8.1-cp311-cp311-macosx_11_0_arm64.whl", hash = "sha256:4969fe0eb179aedacee53ca8f8f1be3c655964a6d62db30f247fee444b9c52b4"}, - {file = "rapidfuzz-3.8.1-cp311-cp311-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:799f5f221d639d1c2ed8a2348d1edf5e22aa489b58b2cc99f5bf0c1917e2d0f2"}, - {file = "rapidfuzz-3.8.1-cp311-cp311-manylinux_2_17_i686.manylinux2014_i686.whl", hash = "sha256:e62bde7d5df3312acc528786ee801c472cae5078b1f1e42761c853ba7fe1072a"}, - {file = "rapidfuzz-3.8.1-cp311-cp311-manylinux_2_17_ppc64le.manylinux2014_ppc64le.whl", hash = "sha256:9ea3d2e41d8fac71cb63ee72f75bee0ed1e9c50709d4c58587f15437761c1858"}, - {file = "rapidfuzz-3.8.1-cp311-cp311-manylinux_2_17_s390x.manylinux2014_s390x.whl", hash = "sha256:6f34a541895627c2bc9ef7757f16f02428a08d960d33208adfb96b33338d0945"}, - {file = "rapidfuzz-3.8.1-cp311-cp311-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:a0643a25937fafe8d117f2907606e9940cd1cc905c66f16ece9ab93128299994"}, - {file = "rapidfuzz-3.8.1-cp311-cp311-musllinux_1_1_aarch64.whl", hash = "sha256:63044a7b6791a2e945dce9d812a6886e93159deb0464984eb403617ded257f08"}, - {file = "rapidfuzz-3.8.1-cp311-cp311-musllinux_1_1_i686.whl", hash = "sha256:bbc15985c5658691f637a6b97651771147744edfad2a4be56b8a06755e3932fa"}, - {file = "rapidfuzz-3.8.1-cp311-cp311-musllinux_1_1_ppc64le.whl", hash = "sha256:48b6e5a337a814aec7c6dda5d6460f947c9330860615301f35b519e16dde3c77"}, - {file = "rapidfuzz-3.8.1-cp311-cp311-musllinux_1_1_s390x.whl", hash = "sha256:8c40da44ca20235cda05751d6e828b6b348e7a7c5de2922fa0f9c63f564fd675"}, - {file = "rapidfuzz-3.8.1-cp311-cp311-musllinux_1_1_x86_64.whl", hash = "sha256:c21d5c7cfa6078c79897e5e482a7e84ff927143d2f3fb020dd6edd27f5469574"}, - {file = "rapidfuzz-3.8.1-cp311-cp311-win32.whl", hash = "sha256:209bb712c448cdec4def6260b9f059bd4681ec61a01568f5e70e37bfe9efe830"}, - {file = "rapidfuzz-3.8.1-cp311-cp311-win_amd64.whl", hash = "sha256:6f7641992de44ec2ca54102422be44a8e3fb75b9690ccd74fff72b9ac7fc00ee"}, - {file = "rapidfuzz-3.8.1-cp311-cp311-win_arm64.whl", hash = "sha256:c458085e067c766112f089f78ce39eab2b69ba027d7bbb11d067a0b085774367"}, - {file = "rapidfuzz-3.8.1-cp312-cp312-macosx_10_9_universal2.whl", hash = "sha256:1905d9319a97bed29f21584ca641190dbc9218a556202b77876f1e37618d2e03"}, - {file = "rapidfuzz-3.8.1-cp312-cp312-macosx_10_9_x86_64.whl", hash = "sha256:f176867f438ff2a43e6a837930153ca78fddb3ca94e378603a1e7b860d7869bf"}, - {file = "rapidfuzz-3.8.1-cp312-cp312-macosx_11_0_arm64.whl", hash = "sha256:25498650e30122f4a5ad6b27c7614b4af8628c1d32b19d406410d33f77a86c80"}, - {file = "rapidfuzz-3.8.1-cp312-cp312-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:16153a97efacadbd693ccc612a3285df2f072fd07c121f30c2c135a709537075"}, - {file = "rapidfuzz-3.8.1-cp312-cp312-manylinux_2_17_i686.manylinux2014_i686.whl", hash = "sha256:1c0264d03dcee1bb975975b77c2fe041820fb4d4a25a99e3cb74ddd083d671ca"}, - {file = "rapidfuzz-3.8.1-cp312-cp312-manylinux_2_17_ppc64le.manylinux2014_ppc64le.whl", hash = "sha256:17d79398849c1244f646425cf31d856eab9ebd67b7d6571273e53df724ca817e"}, - {file = "rapidfuzz-3.8.1-cp312-cp312-manylinux_2_17_s390x.manylinux2014_s390x.whl", hash = "sha256:8e08b01dc9369941a24d7e512b0d81bf514e7d6add1b93d8aeec3c8fa08a824e"}, - {file = "rapidfuzz-3.8.1-cp312-cp312-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:97c13f156f14f10667e1cfc4257069b775440ce005e896c09ce3aff21c9ae665"}, - {file = "rapidfuzz-3.8.1-cp312-cp312-musllinux_1_1_aarch64.whl", hash = "sha256:8b76abfec195bf1ee6f9ec56c33ba5e9615ff2d0a9530a54001ed87e5a6ced3b"}, - {file = "rapidfuzz-3.8.1-cp312-cp312-musllinux_1_1_i686.whl", hash = "sha256:b0ba20be465566264fa5580d874ccf5eabba6975dba45857e2c76e2df3359c6d"}, - {file = "rapidfuzz-3.8.1-cp312-cp312-musllinux_1_1_ppc64le.whl", hash = "sha256:4d5cd86aca3f12e73bfc70015db7e8fc44122da03aa3761138b95112e83f66e4"}, - {file = "rapidfuzz-3.8.1-cp312-cp312-musllinux_1_1_s390x.whl", hash = "sha256:9a16ef3702cecf16056c5fd66398b7ea8622ff4e3afeb00a8db3e74427e850af"}, - {file = "rapidfuzz-3.8.1-cp312-cp312-musllinux_1_1_x86_64.whl", hash = "sha256:392582aa784737d95255ca122ebe7dca3c774da900d100c07b53d32cd221a60e"}, - {file = "rapidfuzz-3.8.1-cp312-cp312-win32.whl", hash = "sha256:ceb10039e7346927cec47eaa490b34abb602b537e738ee9914bb41b8de029fbc"}, - {file = "rapidfuzz-3.8.1-cp312-cp312-win_amd64.whl", hash = "sha256:cc4af7090a626c902c48db9b5d786c1faa0d8e141571e8a63a5350419ea575bd"}, - {file = "rapidfuzz-3.8.1-cp312-cp312-win_arm64.whl", hash = "sha256:3aff3b829b0b04bdf78bd780ec9faf5f26eac3591df98c35a0ae216c925ae436"}, - {file = "rapidfuzz-3.8.1-cp38-cp38-macosx_10_9_universal2.whl", hash = "sha256:78a0d2a11bb3936463609777c6d6d4984a27ebb2360b58339c699899d85db036"}, - {file = "rapidfuzz-3.8.1-cp38-cp38-macosx_10_9_x86_64.whl", hash = "sha256:f8af980695b866255447703bf634551e67e1a4e1c2d2d26501858d9233d886d7"}, - {file = "rapidfuzz-3.8.1-cp38-cp38-macosx_11_0_arm64.whl", hash = "sha256:d1a15fef1938b43468002f2d81012dbc9e7b50eb8533af202b0559c2dc7865d9"}, - {file = "rapidfuzz-3.8.1-cp38-cp38-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:c4dbb1ebc9a811f38da33f32ed2bb5f58b149289b89eb11e384519e9ba7ca881"}, - {file = "rapidfuzz-3.8.1-cp38-cp38-manylinux_2_17_i686.manylinux2014_i686.whl", hash = "sha256:41219536634bd6f85419f38450ef080cfb519638125d805cf8626443e677dc61"}, - {file = "rapidfuzz-3.8.1-cp38-cp38-manylinux_2_17_ppc64le.manylinux2014_ppc64le.whl", hash = "sha256:e3f882110f2f4894942e314451773c47e8b1b4920b5ea2b6dd2e2d4079dd3135"}, - {file = "rapidfuzz-3.8.1-cp38-cp38-manylinux_2_17_s390x.manylinux2014_s390x.whl", hash = "sha256:c754ce1fab41b731259f100d5d46529a38aa2c9b683c92aeb7e96ef5b2898cd8"}, - {file = "rapidfuzz-3.8.1-cp38-cp38-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:718ea99f84b16c4bdbf6a93e53552cdccefa18e12ff9a02c5041e621460e2e61"}, - {file = "rapidfuzz-3.8.1-cp38-cp38-musllinux_1_1_aarch64.whl", hash = "sha256:9441aca94b21f7349cdb231cd0ce9ca251b2355836e8a02bf6ccbea5b442d7a9"}, - {file = "rapidfuzz-3.8.1-cp38-cp38-musllinux_1_1_i686.whl", hash = "sha256:90167a48de3ed7f062058826608a80242b8561d0fb0cce2c610d741624811a61"}, - {file = "rapidfuzz-3.8.1-cp38-cp38-musllinux_1_1_ppc64le.whl", hash = "sha256:8e02425bfc7ebed617323a674974b70eaecd8f07b64a7d16e0bf3e766b93e3c9"}, - {file = "rapidfuzz-3.8.1-cp38-cp38-musllinux_1_1_s390x.whl", hash = "sha256:d48657a404fab82b2754faa813a10c5ad6aa594cb1829dca168a49438b61b4ec"}, - {file = "rapidfuzz-3.8.1-cp38-cp38-musllinux_1_1_x86_64.whl", hash = "sha256:6f8b62fdccc429e6643cefffd5df9c7bca65588d06e8925b78014ad9ad983bf5"}, - {file = "rapidfuzz-3.8.1-cp38-cp38-win32.whl", hash = "sha256:63db612bb6da1bb9f6aa7412739f0e714b1910ec07bc675943044fe683ef192c"}, - {file = "rapidfuzz-3.8.1-cp38-cp38-win_amd64.whl", hash = "sha256:bb571dbd4cc93342be0ba632f0b8d7de4cbd9d959d76371d33716d2216090d41"}, - {file = "rapidfuzz-3.8.1-cp39-cp39-macosx_10_9_universal2.whl", hash = "sha256:b27cea618601ca5032ea98ee116ca6e0fe67be7b286bcb0b9f956d64db697472"}, - {file = "rapidfuzz-3.8.1-cp39-cp39-macosx_10_9_x86_64.whl", hash = "sha256:1d5592b08e3cadc9e06ef3af6a9d66b6ef1bf871ed5acd7f9b1e162d78806a65"}, - {file = "rapidfuzz-3.8.1-cp39-cp39-macosx_11_0_arm64.whl", hash = "sha256:58999b21d01dd353f49511a61937eac20c7a5b22eab87612063947081855d85f"}, - {file = "rapidfuzz-3.8.1-cp39-cp39-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:a2ee3909f611cc5860cc8d9f92d039fd84241ce7360b49ea88e657181d2b45f6"}, - {file = "rapidfuzz-3.8.1-cp39-cp39-manylinux_2_17_i686.manylinux2014_i686.whl", hash = "sha256:00b5ee47b387fa3805f4038362a085ec58149135dc5bc640ca315a9893a16f9e"}, - {file = "rapidfuzz-3.8.1-cp39-cp39-manylinux_2_17_ppc64le.manylinux2014_ppc64le.whl", hash = "sha256:e4c647795c5b901091a68e210c76b769af70a33a8624ac496ac3e34d33366c0d"}, - {file = "rapidfuzz-3.8.1-cp39-cp39-manylinux_2_17_s390x.manylinux2014_s390x.whl", hash = "sha256:77ea62879932b32aba77ab23a9296390a67d024bf2f048dee99143be80a4ce26"}, - {file = "rapidfuzz-3.8.1-cp39-cp39-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:3fee62ae76e3b8b9fff8aa2ca4061575ee358927ffbdb2919a8c84a98da59f78"}, - {file = "rapidfuzz-3.8.1-cp39-cp39-musllinux_1_1_aarch64.whl", hash = "sha256:231dc1cb63b1c8dd78c0597aa3ad3749a86a2b7e76af295dd81609522699a558"}, - {file = "rapidfuzz-3.8.1-cp39-cp39-musllinux_1_1_i686.whl", hash = "sha256:827ddf2d5d157ac3d1001b52e84c9e20366237a742946599ffc435af7fdd26d0"}, - {file = "rapidfuzz-3.8.1-cp39-cp39-musllinux_1_1_ppc64le.whl", hash = "sha256:c04ef83c9ca3162d200df36e933b3ea0327a2626cee2e01bbe55acbc004ce261"}, - {file = "rapidfuzz-3.8.1-cp39-cp39-musllinux_1_1_s390x.whl", hash = "sha256:747265f39978bbaad356f5c6b6c808f0e8f5e8994875af0119b82b4700c55387"}, - {file = "rapidfuzz-3.8.1-cp39-cp39-musllinux_1_1_x86_64.whl", hash = "sha256:14791324f0c753f5a0918df1249b91515f5ddc16281fbaa5ec48bff8fa659229"}, - {file = "rapidfuzz-3.8.1-cp39-cp39-win32.whl", hash = "sha256:b7b9cbc60e3eb08da6d18636c62c6eb6206cd9d0c7ad73996f7a1df3fc415b27"}, - {file = "rapidfuzz-3.8.1-cp39-cp39-win_amd64.whl", hash = "sha256:2084193fd8fd346db496a2220363437eb9370a06d1d5a7a9dba00a64390c6a28"}, - {file = "rapidfuzz-3.8.1-cp39-cp39-win_arm64.whl", hash = "sha256:c9597a05d08e8103ad59ebdf29e3fbffb0d0dbf3b641f102cfbeadc3a77bde51"}, - {file = "rapidfuzz-3.8.1-pp38-pypy38_pp73-macosx_10_9_x86_64.whl", hash = "sha256:5f4174079dfe8ed1f13ece9bde7660f19f98ab17e0c0d002d90cc845c3a7e238"}, - {file = "rapidfuzz-3.8.1-pp38-pypy38_pp73-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:07d7d4a3c49a15146d65f06e44d7545628ca0437c929684e32ef122852f44d95"}, - {file = "rapidfuzz-3.8.1-pp38-pypy38_pp73-manylinux_2_17_i686.manylinux2014_i686.whl", hash = "sha256:1ef119fc127c982053fb9ec638dcc3277f83b034b5972eb05941984b9ec4a290"}, - {file = "rapidfuzz-3.8.1-pp38-pypy38_pp73-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:f8e57f9c2367706a320b78e91f8bf9a3b03bf9069464eb7b54455fa340d03e4c"}, - {file = "rapidfuzz-3.8.1-pp38-pypy38_pp73-win_amd64.whl", hash = "sha256:6d4f1956fe1fc618e34ac79a6ed84fff5a6f23e41a8a476dd3e8570f0b12f02b"}, - {file = "rapidfuzz-3.8.1-pp39-pypy39_pp73-macosx_10_9_x86_64.whl", hash = "sha256:313bdcd16e9cd5e5568b4a31d18a631f0b04cc10a3fd916e4ef75b713e6f177e"}, - {file = "rapidfuzz-3.8.1-pp39-pypy39_pp73-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:a02def2eb526cc934d2125533cf2f15aa71c72ed4397afca38427ab047901e88"}, - {file = "rapidfuzz-3.8.1-pp39-pypy39_pp73-manylinux_2_17_i686.manylinux2014_i686.whl", hash = "sha256:f9d5d924970b07128c61c08eebee718686f4bd9838ef712a50468169520c953f"}, - {file = "rapidfuzz-3.8.1-pp39-pypy39_pp73-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:1edafc0a2737df277d3ddf401f3a73f76e246b7502762c94a3916453ae67e9b1"}, - {file = "rapidfuzz-3.8.1-pp39-pypy39_pp73-win_amd64.whl", hash = "sha256:81fd28389bedab28251f0535b3c034b0e63a618efc3ff1d338c81a3da723adb3"}, - {file = "rapidfuzz-3.8.1.tar.gz", hash = "sha256:a357aae6791118011ad3ab4f2a4aa7bd7a487e5f9981b390e9f3c2c5137ecadf"}, -] - -[package.extras] -full = ["numpy"] - [[package]] name = "realtime" version = "1.0.4" @@ -7734,25 +7843,15 @@ python-dateutil = ">=2.8.1,<3.0.0" typing-extensions = ">=4.11.0,<5.0.0" websockets = ">=11,<13" -[[package]] -name = "red-black-tree-mod" -version = "1.20" -description = "Flexible python implementation of red black trees" -optional = false -python-versions = "*" -files = [ - {file = "red-black-tree-mod-1.20.tar.gz", hash = "sha256:2448e6fc9cbf1be204c753f352c6ee49aa8156dbf1faa57dfc26bd7705077e0a"}, -] - [[package]] name = "redis" -version = "5.0.3" +version = "5.0.4" description = "Python client for Redis database and key-value store" optional = true python-versions = ">=3.7" files = [ - {file = "redis-5.0.3-py3-none-any.whl", hash = "sha256:5da9b8fe9e1254293756c16c008e8620b3d15fcc6dde6babde9541850e72a32d"}, - {file = "redis-5.0.3.tar.gz", hash = "sha256:4973bae7444c0fbed64a06b87446f79361cb7e4ec1538c022d696ed7a5015580"}, + {file = "redis-5.0.4-py3-none-any.whl", hash = "sha256:7adc2835c7a9b5033b7ad8f8918d09b7344188228809c98df07af226d39dec91"}, + {file = "redis-5.0.4.tar.gz", hash = "sha256:ec31f2ed9675cc54c21ba854cfe0462e6faf1d83c8ce5944709db8a4700b9c61"}, ] [package.dependencies] @@ -7764,115 +7863,101 @@ ocsp = ["cryptography (>=36.0.1)", "pyopenssl (==20.0.1)", "requests (>=2.26.0)" [[package]] name = "regex" -version = "2024.4.16" +version = "2024.5.15" description = "Alternative regular expression module, to replace re." optional = false -python-versions = ">=3.7" +python-versions = ">=3.8" files = [ - {file = "regex-2024.4.16-cp310-cp310-macosx_10_9_universal2.whl", hash = "sha256:fb83cc090eac63c006871fd24db5e30a1f282faa46328572661c0a24a2323a08"}, - {file = "regex-2024.4.16-cp310-cp310-macosx_10_9_x86_64.whl", hash = "sha256:8c91e1763696c0eb66340c4df98623c2d4e77d0746b8f8f2bee2c6883fd1fe18"}, - {file = "regex-2024.4.16-cp310-cp310-macosx_11_0_arm64.whl", hash = "sha256:10188fe732dec829c7acca7422cdd1bf57d853c7199d5a9e96bb4d40db239c73"}, - {file = "regex-2024.4.16-cp310-cp310-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:956b58d692f235cfbf5b4f3abd6d99bf102f161ccfe20d2fd0904f51c72c4c66"}, - {file = "regex-2024.4.16-cp310-cp310-manylinux_2_17_ppc64le.manylinux2014_ppc64le.whl", hash = "sha256:a70b51f55fd954d1f194271695821dd62054d949efd6368d8be64edd37f55c86"}, - {file = "regex-2024.4.16-cp310-cp310-manylinux_2_17_s390x.manylinux2014_s390x.whl", hash = "sha256:5c02fcd2bf45162280613d2e4a1ca3ac558ff921ae4e308ecb307650d3a6ee51"}, - {file = "regex-2024.4.16-cp310-cp310-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:c4ed75ea6892a56896d78f11006161eea52c45a14994794bcfa1654430984b22"}, - {file = "regex-2024.4.16-cp310-cp310-manylinux_2_5_i686.manylinux1_i686.manylinux_2_17_i686.manylinux2014_i686.whl", hash = "sha256:bd727ad276bb91928879f3aa6396c9a1d34e5e180dce40578421a691eeb77f47"}, - {file = "regex-2024.4.16-cp310-cp310-manylinux_2_5_x86_64.manylinux1_x86_64.manylinux_2_12_x86_64.manylinux2010_x86_64.whl", hash = "sha256:7cbc5d9e8a1781e7be17da67b92580d6ce4dcef5819c1b1b89f49d9678cc278c"}, - {file = "regex-2024.4.16-cp310-cp310-musllinux_1_1_aarch64.whl", hash = "sha256:78fddb22b9ef810b63ef341c9fcf6455232d97cfe03938cbc29e2672c436670e"}, - {file = "regex-2024.4.16-cp310-cp310-musllinux_1_1_i686.whl", hash = "sha256:445ca8d3c5a01309633a0c9db57150312a181146315693273e35d936472df912"}, - {file = "regex-2024.4.16-cp310-cp310-musllinux_1_1_ppc64le.whl", hash = "sha256:95399831a206211d6bc40224af1c635cb8790ddd5c7493e0bd03b85711076a53"}, - {file = "regex-2024.4.16-cp310-cp310-musllinux_1_1_s390x.whl", hash = "sha256:7731728b6568fc286d86745f27f07266de49603a6fdc4d19c87e8c247be452af"}, - {file = "regex-2024.4.16-cp310-cp310-musllinux_1_1_x86_64.whl", hash = "sha256:4facc913e10bdba42ec0aee76d029aedda628161a7ce4116b16680a0413f658a"}, - {file = "regex-2024.4.16-cp310-cp310-win32.whl", hash = "sha256:911742856ce98d879acbea33fcc03c1d8dc1106234c5e7d068932c945db209c0"}, - {file = "regex-2024.4.16-cp310-cp310-win_amd64.whl", hash = "sha256:e0a2df336d1135a0b3a67f3bbf78a75f69562c1199ed9935372b82215cddd6e2"}, - {file = "regex-2024.4.16-cp311-cp311-macosx_10_9_universal2.whl", hash = "sha256:1210365faba7c2150451eb78ec5687871c796b0f1fa701bfd2a4a25420482d26"}, - {file = "regex-2024.4.16-cp311-cp311-macosx_10_9_x86_64.whl", hash = "sha256:9ab40412f8cd6f615bfedea40c8bf0407d41bf83b96f6fc9ff34976d6b7037fd"}, - {file = "regex-2024.4.16-cp311-cp311-macosx_11_0_arm64.whl", hash = "sha256:fd80d1280d473500d8086d104962a82d77bfbf2b118053824b7be28cd5a79ea5"}, - {file = "regex-2024.4.16-cp311-cp311-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:7bb966fdd9217e53abf824f437a5a2d643a38d4fd5fd0ca711b9da683d452969"}, - {file = "regex-2024.4.16-cp311-cp311-manylinux_2_17_ppc64le.manylinux2014_ppc64le.whl", hash = "sha256:20b7a68444f536365af42a75ccecb7ab41a896a04acf58432db9e206f4e525d6"}, - {file = "regex-2024.4.16-cp311-cp311-manylinux_2_17_s390x.manylinux2014_s390x.whl", hash = "sha256:b74586dd0b039c62416034f811d7ee62810174bb70dffcca6439f5236249eb09"}, - {file = "regex-2024.4.16-cp311-cp311-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:0c8290b44d8b0af4e77048646c10c6e3aa583c1ca67f3b5ffb6e06cf0c6f0f89"}, - {file = "regex-2024.4.16-cp311-cp311-manylinux_2_5_i686.manylinux1_i686.manylinux_2_17_i686.manylinux2014_i686.whl", hash = "sha256:f2d80a6749724b37853ece57988b39c4e79d2b5fe2869a86e8aeae3bbeef9eb0"}, - {file = "regex-2024.4.16-cp311-cp311-musllinux_1_1_aarch64.whl", hash = "sha256:3a1018e97aeb24e4f939afcd88211ace472ba566efc5bdf53fd8fd7f41fa7170"}, - {file = "regex-2024.4.16-cp311-cp311-musllinux_1_1_i686.whl", hash = "sha256:8d015604ee6204e76569d2f44e5a210728fa917115bef0d102f4107e622b08d5"}, - {file = "regex-2024.4.16-cp311-cp311-musllinux_1_1_ppc64le.whl", hash = "sha256:3d5ac5234fb5053850d79dd8eb1015cb0d7d9ed951fa37aa9e6249a19aa4f336"}, - {file = "regex-2024.4.16-cp311-cp311-musllinux_1_1_s390x.whl", hash = "sha256:0a38d151e2cdd66d16dab550c22f9521ba79761423b87c01dae0a6e9add79c0d"}, - {file = "regex-2024.4.16-cp311-cp311-musllinux_1_1_x86_64.whl", hash = "sha256:159dc4e59a159cb8e4e8f8961eb1fa5d58f93cb1acd1701d8aff38d45e1a84a6"}, - {file = "regex-2024.4.16-cp311-cp311-win32.whl", hash = "sha256:ba2336d6548dee3117520545cfe44dc28a250aa091f8281d28804aa8d707d93d"}, - {file = "regex-2024.4.16-cp311-cp311-win_amd64.whl", hash = "sha256:8f83b6fd3dc3ba94d2b22717f9c8b8512354fd95221ac661784df2769ea9bba9"}, - {file = "regex-2024.4.16-cp312-cp312-macosx_10_9_universal2.whl", hash = "sha256:80b696e8972b81edf0af2a259e1b2a4a661f818fae22e5fa4fa1a995fb4a40fd"}, - {file = "regex-2024.4.16-cp312-cp312-macosx_10_9_x86_64.whl", hash = "sha256:d61ae114d2a2311f61d90c2ef1358518e8f05eafda76eaf9c772a077e0b465ec"}, - {file = "regex-2024.4.16-cp312-cp312-macosx_11_0_arm64.whl", hash = "sha256:8ba6745440b9a27336443b0c285d705ce73adb9ec90e2f2004c64d95ab5a7598"}, - {file = "regex-2024.4.16-cp312-cp312-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:6295004b2dd37b0835ea5c14a33e00e8cfa3c4add4d587b77287825f3418d310"}, - {file = "regex-2024.4.16-cp312-cp312-manylinux_2_17_ppc64le.manylinux2014_ppc64le.whl", hash = "sha256:4aba818dcc7263852aabb172ec27b71d2abca02a593b95fa79351b2774eb1d2b"}, - {file = "regex-2024.4.16-cp312-cp312-manylinux_2_17_s390x.manylinux2014_s390x.whl", hash = "sha256:d0800631e565c47520aaa04ae38b96abc5196fe8b4aa9bd864445bd2b5848a7a"}, - {file = "regex-2024.4.16-cp312-cp312-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:08dea89f859c3df48a440dbdcd7b7155bc675f2fa2ec8c521d02dc69e877db70"}, - {file = "regex-2024.4.16-cp312-cp312-manylinux_2_5_i686.manylinux1_i686.manylinux_2_17_i686.manylinux2014_i686.whl", hash = "sha256:eeaa0b5328b785abc344acc6241cffde50dc394a0644a968add75fcefe15b9d4"}, - {file = "regex-2024.4.16-cp312-cp312-musllinux_1_1_aarch64.whl", hash = "sha256:4e819a806420bc010489f4e741b3036071aba209f2e0989d4750b08b12a9343f"}, - {file = "regex-2024.4.16-cp312-cp312-musllinux_1_1_i686.whl", hash = "sha256:c2d0e7cbb6341e830adcbfa2479fdeebbfbb328f11edd6b5675674e7a1e37730"}, - {file = "regex-2024.4.16-cp312-cp312-musllinux_1_1_ppc64le.whl", hash = "sha256:91797b98f5e34b6a49f54be33f72e2fb658018ae532be2f79f7c63b4ae225145"}, - {file = "regex-2024.4.16-cp312-cp312-musllinux_1_1_s390x.whl", hash = "sha256:d2da13568eff02b30fd54fccd1e042a70fe920d816616fda4bf54ec705668d81"}, - {file = "regex-2024.4.16-cp312-cp312-musllinux_1_1_x86_64.whl", hash = "sha256:370c68dc5570b394cbaadff50e64d705f64debed30573e5c313c360689b6aadc"}, - {file = "regex-2024.4.16-cp312-cp312-win32.whl", hash = "sha256:904c883cf10a975b02ab3478bce652f0f5346a2c28d0a8521d97bb23c323cc8b"}, - {file = "regex-2024.4.16-cp312-cp312-win_amd64.whl", hash = "sha256:785c071c982dce54d44ea0b79cd6dfafddeccdd98cfa5f7b86ef69b381b457d9"}, - {file = "regex-2024.4.16-cp37-cp37m-macosx_10_9_x86_64.whl", hash = "sha256:e2f142b45c6fed48166faeb4303b4b58c9fcd827da63f4cf0a123c3480ae11fb"}, - {file = "regex-2024.4.16-cp37-cp37m-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:e87ab229332ceb127a165612d839ab87795972102cb9830e5f12b8c9a5c1b508"}, - {file = "regex-2024.4.16-cp37-cp37m-manylinux_2_17_ppc64le.manylinux2014_ppc64le.whl", hash = "sha256:81500ed5af2090b4a9157a59dbc89873a25c33db1bb9a8cf123837dcc9765047"}, - {file = "regex-2024.4.16-cp37-cp37m-manylinux_2_17_s390x.manylinux2014_s390x.whl", hash = "sha256:b340cccad138ecb363324aa26893963dcabb02bb25e440ebdf42e30963f1a4e0"}, - {file = "regex-2024.4.16-cp37-cp37m-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:2c72608e70f053643437bd2be0608f7f1c46d4022e4104d76826f0839199347a"}, - {file = "regex-2024.4.16-cp37-cp37m-manylinux_2_5_i686.manylinux1_i686.manylinux_2_17_i686.manylinux2014_i686.whl", hash = "sha256:a01fe2305e6232ef3e8f40bfc0f0f3a04def9aab514910fa4203bafbc0bb4682"}, - {file = "regex-2024.4.16-cp37-cp37m-manylinux_2_5_x86_64.manylinux1_x86_64.manylinux_2_12_x86_64.manylinux2010_x86_64.whl", hash = "sha256:03576e3a423d19dda13e55598f0fd507b5d660d42c51b02df4e0d97824fdcae3"}, - {file = "regex-2024.4.16-cp37-cp37m-musllinux_1_1_aarch64.whl", hash = "sha256:549c3584993772e25f02d0656ac48abdda73169fe347263948cf2b1cead622f3"}, - {file = "regex-2024.4.16-cp37-cp37m-musllinux_1_1_i686.whl", hash = "sha256:34422d5a69a60b7e9a07a690094e824b66f5ddc662a5fc600d65b7c174a05f04"}, - {file = "regex-2024.4.16-cp37-cp37m-musllinux_1_1_ppc64le.whl", hash = "sha256:5f580c651a72b75c39e311343fe6875d6f58cf51c471a97f15a938d9fe4e0d37"}, - {file = "regex-2024.4.16-cp37-cp37m-musllinux_1_1_s390x.whl", hash = "sha256:3399dd8a7495bbb2bacd59b84840eef9057826c664472e86c91d675d007137f5"}, - {file = "regex-2024.4.16-cp37-cp37m-musllinux_1_1_x86_64.whl", hash = "sha256:8d1f86f3f4e2388aa3310b50694ac44daefbd1681def26b4519bd050a398dc5a"}, - {file = "regex-2024.4.16-cp37-cp37m-win32.whl", hash = "sha256:dd5acc0a7d38fdc7a3a6fd3ad14c880819008ecb3379626e56b163165162cc46"}, - {file = "regex-2024.4.16-cp37-cp37m-win_amd64.whl", hash = "sha256:ba8122e3bb94ecda29a8de4cf889f600171424ea586847aa92c334772d200331"}, - {file = "regex-2024.4.16-cp38-cp38-macosx_10_9_universal2.whl", hash = "sha256:743deffdf3b3481da32e8a96887e2aa945ec6685af1cfe2bcc292638c9ba2f48"}, - {file = "regex-2024.4.16-cp38-cp38-macosx_10_9_x86_64.whl", hash = "sha256:7571f19f4a3fd00af9341c7801d1ad1967fc9c3f5e62402683047e7166b9f2b4"}, - {file = "regex-2024.4.16-cp38-cp38-macosx_11_0_arm64.whl", hash = "sha256:df79012ebf6f4efb8d307b1328226aef24ca446b3ff8d0e30202d7ebcb977a8c"}, - {file = "regex-2024.4.16-cp38-cp38-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:e757d475953269fbf4b441207bb7dbdd1c43180711b6208e129b637792ac0b93"}, - {file = "regex-2024.4.16-cp38-cp38-manylinux_2_17_ppc64le.manylinux2014_ppc64le.whl", hash = "sha256:4313ab9bf6a81206c8ac28fdfcddc0435299dc88cad12cc6305fd0e78b81f9e4"}, - {file = "regex-2024.4.16-cp38-cp38-manylinux_2_17_s390x.manylinux2014_s390x.whl", hash = "sha256:d83c2bc678453646f1a18f8db1e927a2d3f4935031b9ad8a76e56760461105dd"}, - {file = "regex-2024.4.16-cp38-cp38-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:9df1bfef97db938469ef0a7354b2d591a2d438bc497b2c489471bec0e6baf7c4"}, - {file = "regex-2024.4.16-cp38-cp38-manylinux_2_5_i686.manylinux1_i686.manylinux_2_17_i686.manylinux2014_i686.whl", hash = "sha256:62120ed0de69b3649cc68e2965376048793f466c5a6c4370fb27c16c1beac22d"}, - {file = "regex-2024.4.16-cp38-cp38-manylinux_2_5_x86_64.manylinux1_x86_64.manylinux_2_12_x86_64.manylinux2010_x86_64.whl", hash = "sha256:c2ef6f7990b6e8758fe48ad08f7e2f66c8f11dc66e24093304b87cae9037bb4a"}, - {file = "regex-2024.4.16-cp38-cp38-musllinux_1_1_aarch64.whl", hash = "sha256:8fc6976a3395fe4d1fbeb984adaa8ec652a1e12f36b56ec8c236e5117b585427"}, - {file = "regex-2024.4.16-cp38-cp38-musllinux_1_1_i686.whl", hash = "sha256:03e68f44340528111067cecf12721c3df4811c67268b897fbe695c95f860ac42"}, - {file = "regex-2024.4.16-cp38-cp38-musllinux_1_1_ppc64le.whl", hash = "sha256:ec7e0043b91115f427998febaa2beb82c82df708168b35ece3accb610b91fac1"}, - {file = "regex-2024.4.16-cp38-cp38-musllinux_1_1_s390x.whl", hash = "sha256:c21fc21a4c7480479d12fd8e679b699f744f76bb05f53a1d14182b31f55aac76"}, - {file = "regex-2024.4.16-cp38-cp38-musllinux_1_1_x86_64.whl", hash = "sha256:12f6a3f2f58bb7344751919a1876ee1b976fe08b9ffccb4bbea66f26af6017b9"}, - {file = "regex-2024.4.16-cp38-cp38-win32.whl", hash = "sha256:479595a4fbe9ed8f8f72c59717e8cf222da2e4c07b6ae5b65411e6302af9708e"}, - {file = "regex-2024.4.16-cp38-cp38-win_amd64.whl", hash = "sha256:0534b034fba6101611968fae8e856c1698da97ce2efb5c2b895fc8b9e23a5834"}, - {file = "regex-2024.4.16-cp39-cp39-macosx_10_9_universal2.whl", hash = "sha256:a7ccdd1c4a3472a7533b0a7aa9ee34c9a2bef859ba86deec07aff2ad7e0c3b94"}, - {file = "regex-2024.4.16-cp39-cp39-macosx_10_9_x86_64.whl", hash = "sha256:6f2f017c5be19984fbbf55f8af6caba25e62c71293213f044da3ada7091a4455"}, - {file = "regex-2024.4.16-cp39-cp39-macosx_11_0_arm64.whl", hash = "sha256:803b8905b52de78b173d3c1e83df0efb929621e7b7c5766c0843704d5332682f"}, - {file = "regex-2024.4.16-cp39-cp39-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:684008ec44ad275832a5a152f6e764bbe1914bea10968017b6feaecdad5736e0"}, - {file = "regex-2024.4.16-cp39-cp39-manylinux_2_17_ppc64le.manylinux2014_ppc64le.whl", hash = "sha256:65436dce9fdc0aeeb0a0effe0839cb3d6a05f45aa45a4d9f9c60989beca78b9c"}, - {file = "regex-2024.4.16-cp39-cp39-manylinux_2_17_s390x.manylinux2014_s390x.whl", hash = "sha256:ea355eb43b11764cf799dda62c658c4d2fdb16af41f59bb1ccfec517b60bcb07"}, - {file = "regex-2024.4.16-cp39-cp39-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:98c1165f3809ce7774f05cb74e5408cd3aa93ee8573ae959a97a53db3ca3180d"}, - {file = "regex-2024.4.16-cp39-cp39-manylinux_2_5_i686.manylinux1_i686.manylinux_2_17_i686.manylinux2014_i686.whl", hash = "sha256:cccc79a9be9b64c881f18305a7c715ba199e471a3973faeb7ba84172abb3f317"}, - {file = "regex-2024.4.16-cp39-cp39-manylinux_2_5_x86_64.manylinux1_x86_64.manylinux_2_12_x86_64.manylinux2010_x86_64.whl", hash = "sha256:00169caa125f35d1bca6045d65a662af0202704489fada95346cfa092ec23f39"}, - {file = "regex-2024.4.16-cp39-cp39-musllinux_1_1_aarch64.whl", hash = "sha256:6cc38067209354e16c5609b66285af17a2863a47585bcf75285cab33d4c3b8df"}, - {file = "regex-2024.4.16-cp39-cp39-musllinux_1_1_i686.whl", hash = "sha256:23cff1b267038501b179ccbbd74a821ac4a7192a1852d1d558e562b507d46013"}, - {file = "regex-2024.4.16-cp39-cp39-musllinux_1_1_ppc64le.whl", hash = "sha256:b9d320b3bf82a39f248769fc7f188e00f93526cc0fe739cfa197868633d44701"}, - {file = "regex-2024.4.16-cp39-cp39-musllinux_1_1_s390x.whl", hash = "sha256:89ec7f2c08937421bbbb8b48c54096fa4f88347946d4747021ad85f1b3021b3c"}, - {file = "regex-2024.4.16-cp39-cp39-musllinux_1_1_x86_64.whl", hash = "sha256:4918fd5f8b43aa7ec031e0fef1ee02deb80b6afd49c85f0790be1dc4ce34cb50"}, - {file = "regex-2024.4.16-cp39-cp39-win32.whl", hash = "sha256:684e52023aec43bdf0250e843e1fdd6febbe831bd9d52da72333fa201aaa2335"}, - {file = "regex-2024.4.16-cp39-cp39-win_amd64.whl", hash = "sha256:e697e1c0238133589e00c244a8b676bc2cfc3ab4961318d902040d099fec7483"}, - {file = "regex-2024.4.16.tar.gz", hash = "sha256:fa454d26f2e87ad661c4f0c5a5fe4cf6aab1e307d1b94f16ffdfcb089ba685c0"}, + {file = "regex-2024.5.15-cp310-cp310-macosx_10_9_universal2.whl", hash = "sha256:a81e3cfbae20378d75185171587cbf756015ccb14840702944f014e0d93ea09f"}, + {file = "regex-2024.5.15-cp310-cp310-macosx_10_9_x86_64.whl", hash = "sha256:7b59138b219ffa8979013be7bc85bb60c6f7b7575df3d56dc1e403a438c7a3f6"}, + {file = "regex-2024.5.15-cp310-cp310-macosx_11_0_arm64.whl", hash = "sha256:a0bd000c6e266927cb7a1bc39d55be95c4b4f65c5be53e659537537e019232b1"}, + {file = "regex-2024.5.15-cp310-cp310-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:5eaa7ddaf517aa095fa8da0b5015c44d03da83f5bd49c87961e3c997daed0de7"}, + {file = "regex-2024.5.15-cp310-cp310-manylinux_2_17_ppc64le.manylinux2014_ppc64le.whl", hash = "sha256:ba68168daedb2c0bab7fd7e00ced5ba90aebf91024dea3c88ad5063c2a562cca"}, + {file = "regex-2024.5.15-cp310-cp310-manylinux_2_17_s390x.manylinux2014_s390x.whl", hash = "sha256:6e8d717bca3a6e2064fc3a08df5cbe366369f4b052dcd21b7416e6d71620dca1"}, + {file = "regex-2024.5.15-cp310-cp310-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:1337b7dbef9b2f71121cdbf1e97e40de33ff114801263b275aafd75303bd62b5"}, + {file = "regex-2024.5.15-cp310-cp310-manylinux_2_5_i686.manylinux1_i686.manylinux_2_17_i686.manylinux2014_i686.whl", hash = "sha256:f9ebd0a36102fcad2f03696e8af4ae682793a5d30b46c647eaf280d6cfb32796"}, + {file = "regex-2024.5.15-cp310-cp310-manylinux_2_5_x86_64.manylinux1_x86_64.manylinux_2_12_x86_64.manylinux2010_x86_64.whl", hash = "sha256:9efa1a32ad3a3ea112224897cdaeb6aa00381627f567179c0314f7b65d354c62"}, + {file = "regex-2024.5.15-cp310-cp310-musllinux_1_2_aarch64.whl", hash = "sha256:1595f2d10dff3d805e054ebdc41c124753631b6a471b976963c7b28543cf13b0"}, + {file = "regex-2024.5.15-cp310-cp310-musllinux_1_2_i686.whl", hash = "sha256:b802512f3e1f480f41ab5f2cfc0e2f761f08a1f41092d6718868082fc0d27143"}, + {file = "regex-2024.5.15-cp310-cp310-musllinux_1_2_ppc64le.whl", hash = "sha256:a0981022dccabca811e8171f913de05720590c915b033b7e601f35ce4ea7019f"}, + {file = "regex-2024.5.15-cp310-cp310-musllinux_1_2_s390x.whl", hash = "sha256:19068a6a79cf99a19ccefa44610491e9ca02c2be3305c7760d3831d38a467a6f"}, + {file = "regex-2024.5.15-cp310-cp310-musllinux_1_2_x86_64.whl", hash = "sha256:1b5269484f6126eee5e687785e83c6b60aad7663dafe842b34691157e5083e53"}, + {file = "regex-2024.5.15-cp310-cp310-win32.whl", hash = "sha256:ada150c5adfa8fbcbf321c30c751dc67d2f12f15bd183ffe4ec7cde351d945b3"}, + {file = "regex-2024.5.15-cp310-cp310-win_amd64.whl", hash = "sha256:ac394ff680fc46b97487941f5e6ae49a9f30ea41c6c6804832063f14b2a5a145"}, + {file = "regex-2024.5.15-cp311-cp311-macosx_10_9_universal2.whl", hash = "sha256:f5b1dff3ad008dccf18e652283f5e5339d70bf8ba7c98bf848ac33db10f7bc7a"}, + {file = "regex-2024.5.15-cp311-cp311-macosx_10_9_x86_64.whl", hash = "sha256:c6a2b494a76983df8e3d3feea9b9ffdd558b247e60b92f877f93a1ff43d26656"}, + {file = "regex-2024.5.15-cp311-cp311-macosx_11_0_arm64.whl", hash = "sha256:a32b96f15c8ab2e7d27655969a23895eb799de3665fa94349f3b2fbfd547236f"}, + {file = "regex-2024.5.15-cp311-cp311-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:10002e86e6068d9e1c91eae8295ef690f02f913c57db120b58fdd35a6bb1af35"}, + {file = "regex-2024.5.15-cp311-cp311-manylinux_2_17_ppc64le.manylinux2014_ppc64le.whl", hash = "sha256:ec54d5afa89c19c6dd8541a133be51ee1017a38b412b1321ccb8d6ddbeb4cf7d"}, + {file = "regex-2024.5.15-cp311-cp311-manylinux_2_17_s390x.manylinux2014_s390x.whl", hash = "sha256:10e4ce0dca9ae7a66e6089bb29355d4432caed736acae36fef0fdd7879f0b0cb"}, + {file = "regex-2024.5.15-cp311-cp311-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:3e507ff1e74373c4d3038195fdd2af30d297b4f0950eeda6f515ae3d84a1770f"}, + {file = "regex-2024.5.15-cp311-cp311-manylinux_2_5_i686.manylinux1_i686.manylinux_2_17_i686.manylinux2014_i686.whl", hash = "sha256:d1f059a4d795e646e1c37665b9d06062c62d0e8cc3c511fe01315973a6542e40"}, + {file = "regex-2024.5.15-cp311-cp311-musllinux_1_2_aarch64.whl", hash = "sha256:0721931ad5fe0dda45d07f9820b90b2148ccdd8e45bb9e9b42a146cb4f695649"}, + {file = "regex-2024.5.15-cp311-cp311-musllinux_1_2_i686.whl", hash = "sha256:833616ddc75ad595dee848ad984d067f2f31be645d603e4d158bba656bbf516c"}, + {file = "regex-2024.5.15-cp311-cp311-musllinux_1_2_ppc64le.whl", hash = "sha256:287eb7f54fc81546346207c533ad3c2c51a8d61075127d7f6d79aaf96cdee890"}, + {file = "regex-2024.5.15-cp311-cp311-musllinux_1_2_s390x.whl", hash = "sha256:19dfb1c504781a136a80ecd1fff9f16dddf5bb43cec6871778c8a907a085bb3d"}, + {file = "regex-2024.5.15-cp311-cp311-musllinux_1_2_x86_64.whl", hash = "sha256:119af6e56dce35e8dfb5222573b50c89e5508d94d55713c75126b753f834de68"}, + {file = "regex-2024.5.15-cp311-cp311-win32.whl", hash = "sha256:1c1c174d6ec38d6c8a7504087358ce9213d4332f6293a94fbf5249992ba54efa"}, + {file = "regex-2024.5.15-cp311-cp311-win_amd64.whl", hash = "sha256:9e717956dcfd656f5055cc70996ee2cc82ac5149517fc8e1b60261b907740201"}, + {file = "regex-2024.5.15-cp312-cp312-macosx_10_9_universal2.whl", hash = "sha256:632b01153e5248c134007209b5c6348a544ce96c46005d8456de1d552455b014"}, + {file = "regex-2024.5.15-cp312-cp312-macosx_10_9_x86_64.whl", hash = "sha256:e64198f6b856d48192bf921421fdd8ad8eb35e179086e99e99f711957ffedd6e"}, + {file = "regex-2024.5.15-cp312-cp312-macosx_11_0_arm64.whl", hash = "sha256:68811ab14087b2f6e0fc0c2bae9ad689ea3584cad6917fc57be6a48bbd012c49"}, + {file = "regex-2024.5.15-cp312-cp312-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:f8ec0c2fea1e886a19c3bee0cd19d862b3aa75dcdfb42ebe8ed30708df64687a"}, + {file = "regex-2024.5.15-cp312-cp312-manylinux_2_17_ppc64le.manylinux2014_ppc64le.whl", hash = "sha256:d0c0c0003c10f54a591d220997dd27d953cd9ccc1a7294b40a4be5312be8797b"}, + {file = "regex-2024.5.15-cp312-cp312-manylinux_2_17_s390x.manylinux2014_s390x.whl", hash = "sha256:2431b9e263af1953c55abbd3e2efca67ca80a3de8a0437cb58e2421f8184717a"}, + {file = "regex-2024.5.15-cp312-cp312-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:4a605586358893b483976cffc1723fb0f83e526e8f14c6e6614e75919d9862cf"}, + {file = "regex-2024.5.15-cp312-cp312-manylinux_2_5_i686.manylinux1_i686.manylinux_2_17_i686.manylinux2014_i686.whl", hash = "sha256:391d7f7f1e409d192dba8bcd42d3e4cf9e598f3979cdaed6ab11288da88cb9f2"}, + {file = "regex-2024.5.15-cp312-cp312-musllinux_1_2_aarch64.whl", hash = "sha256:9ff11639a8d98969c863d4617595eb5425fd12f7c5ef6621a4b74b71ed8726d5"}, + {file = "regex-2024.5.15-cp312-cp312-musllinux_1_2_i686.whl", hash = "sha256:4eee78a04e6c67e8391edd4dad3279828dd66ac4b79570ec998e2155d2e59fd5"}, + {file = "regex-2024.5.15-cp312-cp312-musllinux_1_2_ppc64le.whl", hash = "sha256:8fe45aa3f4aa57faabbc9cb46a93363edd6197cbc43523daea044e9ff2fea83e"}, + {file = "regex-2024.5.15-cp312-cp312-musllinux_1_2_s390x.whl", hash = "sha256:d0a3d8d6acf0c78a1fff0e210d224b821081330b8524e3e2bc5a68ef6ab5803d"}, + {file = "regex-2024.5.15-cp312-cp312-musllinux_1_2_x86_64.whl", hash = "sha256:c486b4106066d502495b3025a0a7251bf37ea9540433940a23419461ab9f2a80"}, + {file = "regex-2024.5.15-cp312-cp312-win32.whl", hash = "sha256:c49e15eac7c149f3670b3e27f1f28a2c1ddeccd3a2812cba953e01be2ab9b5fe"}, + {file = "regex-2024.5.15-cp312-cp312-win_amd64.whl", hash = "sha256:673b5a6da4557b975c6c90198588181029c60793835ce02f497ea817ff647cb2"}, + {file = "regex-2024.5.15-cp38-cp38-macosx_10_9_universal2.whl", hash = "sha256:87e2a9c29e672fc65523fb47a90d429b70ef72b901b4e4b1bd42387caf0d6835"}, + {file = "regex-2024.5.15-cp38-cp38-macosx_10_9_x86_64.whl", hash = "sha256:c3bea0ba8b73b71b37ac833a7f3fd53825924165da6a924aec78c13032f20850"}, + {file = "regex-2024.5.15-cp38-cp38-macosx_11_0_arm64.whl", hash = "sha256:bfc4f82cabe54f1e7f206fd3d30fda143f84a63fe7d64a81558d6e5f2e5aaba9"}, + {file = "regex-2024.5.15-cp38-cp38-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:e5bb9425fe881d578aeca0b2b4b3d314ec88738706f66f219c194d67179337cb"}, + {file = "regex-2024.5.15-cp38-cp38-manylinux_2_17_ppc64le.manylinux2014_ppc64le.whl", hash = "sha256:64c65783e96e563103d641760664125e91bd85d8e49566ee560ded4da0d3e704"}, + {file = "regex-2024.5.15-cp38-cp38-manylinux_2_17_s390x.manylinux2014_s390x.whl", hash = "sha256:cf2430df4148b08fb4324b848672514b1385ae3807651f3567871f130a728cc3"}, + {file = "regex-2024.5.15-cp38-cp38-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:5397de3219a8b08ae9540c48f602996aa6b0b65d5a61683e233af8605c42b0f2"}, + {file = "regex-2024.5.15-cp38-cp38-manylinux_2_5_i686.manylinux1_i686.manylinux_2_17_i686.manylinux2014_i686.whl", hash = "sha256:455705d34b4154a80ead722f4f185b04c4237e8e8e33f265cd0798d0e44825fa"}, + {file = "regex-2024.5.15-cp38-cp38-manylinux_2_5_x86_64.manylinux1_x86_64.manylinux_2_12_x86_64.manylinux2010_x86_64.whl", hash = "sha256:b2b6f1b3bb6f640c1a92be3bbfbcb18657b125b99ecf141fb3310b5282c7d4ed"}, + {file = "regex-2024.5.15-cp38-cp38-musllinux_1_2_aarch64.whl", hash = "sha256:3ad070b823ca5890cab606c940522d05d3d22395d432f4aaaf9d5b1653e47ced"}, + {file = "regex-2024.5.15-cp38-cp38-musllinux_1_2_i686.whl", hash = "sha256:5b5467acbfc153847d5adb21e21e29847bcb5870e65c94c9206d20eb4e99a384"}, + {file = "regex-2024.5.15-cp38-cp38-musllinux_1_2_ppc64le.whl", hash = "sha256:e6662686aeb633ad65be2a42b4cb00178b3fbf7b91878f9446075c404ada552f"}, + {file = "regex-2024.5.15-cp38-cp38-musllinux_1_2_s390x.whl", hash = "sha256:2b4c884767504c0e2401babe8b5b7aea9148680d2e157fa28f01529d1f7fcf67"}, + {file = "regex-2024.5.15-cp38-cp38-musllinux_1_2_x86_64.whl", hash = "sha256:3cd7874d57f13bf70078f1ff02b8b0aa48d5b9ed25fc48547516c6aba36f5741"}, + {file = "regex-2024.5.15-cp38-cp38-win32.whl", hash = "sha256:e4682f5ba31f475d58884045c1a97a860a007d44938c4c0895f41d64481edbc9"}, + {file = "regex-2024.5.15-cp38-cp38-win_amd64.whl", hash = "sha256:d99ceffa25ac45d150e30bd9ed14ec6039f2aad0ffa6bb87a5936f5782fc1569"}, + {file = "regex-2024.5.15-cp39-cp39-macosx_10_9_universal2.whl", hash = "sha256:13cdaf31bed30a1e1c2453ef6015aa0983e1366fad2667657dbcac7b02f67133"}, + {file = "regex-2024.5.15-cp39-cp39-macosx_10_9_x86_64.whl", hash = "sha256:cac27dcaa821ca271855a32188aa61d12decb6fe45ffe3e722401fe61e323cd1"}, + {file = "regex-2024.5.15-cp39-cp39-macosx_11_0_arm64.whl", hash = "sha256:7dbe2467273b875ea2de38ded4eba86cbcbc9a1a6d0aa11dcf7bd2e67859c435"}, + {file = "regex-2024.5.15-cp39-cp39-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:64f18a9a3513a99c4bef0e3efd4c4a5b11228b48aa80743be822b71e132ae4f5"}, + {file = "regex-2024.5.15-cp39-cp39-manylinux_2_17_ppc64le.manylinux2014_ppc64le.whl", hash = "sha256:d347a741ea871c2e278fde6c48f85136c96b8659b632fb57a7d1ce1872547600"}, + {file = "regex-2024.5.15-cp39-cp39-manylinux_2_17_s390x.manylinux2014_s390x.whl", hash = "sha256:1878b8301ed011704aea4c806a3cadbd76f84dece1ec09cc9e4dc934cfa5d4da"}, + {file = "regex-2024.5.15-cp39-cp39-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:4babf07ad476aaf7830d77000874d7611704a7fcf68c9c2ad151f5d94ae4bfc4"}, + {file = "regex-2024.5.15-cp39-cp39-manylinux_2_5_i686.manylinux1_i686.manylinux_2_17_i686.manylinux2014_i686.whl", hash = "sha256:35cb514e137cb3488bce23352af3e12fb0dbedd1ee6e60da053c69fb1b29cc6c"}, + {file = "regex-2024.5.15-cp39-cp39-manylinux_2_5_x86_64.manylinux1_x86_64.manylinux_2_12_x86_64.manylinux2010_x86_64.whl", hash = "sha256:cdd09d47c0b2efee9378679f8510ee6955d329424c659ab3c5e3a6edea696294"}, + {file = "regex-2024.5.15-cp39-cp39-musllinux_1_2_aarch64.whl", hash = "sha256:72d7a99cd6b8f958e85fc6ca5b37c4303294954eac1376535b03c2a43eb72629"}, + {file = "regex-2024.5.15-cp39-cp39-musllinux_1_2_i686.whl", hash = "sha256:a094801d379ab20c2135529948cb84d417a2169b9bdceda2a36f5f10977ebc16"}, + {file = "regex-2024.5.15-cp39-cp39-musllinux_1_2_ppc64le.whl", hash = "sha256:c0c18345010870e58238790a6779a1219b4d97bd2e77e1140e8ee5d14df071aa"}, + {file = "regex-2024.5.15-cp39-cp39-musllinux_1_2_s390x.whl", hash = "sha256:16093f563098448ff6b1fa68170e4acbef94e6b6a4e25e10eae8598bb1694b5d"}, + {file = "regex-2024.5.15-cp39-cp39-musllinux_1_2_x86_64.whl", hash = "sha256:e38a7d4e8f633a33b4c7350fbd8bad3b70bf81439ac67ac38916c4a86b465456"}, + {file = "regex-2024.5.15-cp39-cp39-win32.whl", hash = "sha256:71a455a3c584a88f654b64feccc1e25876066c4f5ef26cd6dd711308aa538694"}, + {file = "regex-2024.5.15-cp39-cp39-win_amd64.whl", hash = "sha256:cab12877a9bdafde5500206d1020a584355a97884dfd388af3699e9137bf7388"}, + {file = "regex-2024.5.15.tar.gz", hash = "sha256:d3ee02d9e5f482cc8309134a91eeaacbdd2261ba111b0fef3748eeb4913e6a2c"}, ] [[package]] name = "requests" -version = "2.31.0" +version = "2.32.2" description = "Python HTTP for Humans." optional = false -python-versions = ">=3.7" +python-versions = ">=3.8" files = [ - {file = "requests-2.31.0-py3-none-any.whl", hash = "sha256:58cd2187c01e70e6e26505bca751777aa9f2ee0b7f4300988b709f44e013003f"}, - {file = "requests-2.31.0.tar.gz", hash = "sha256:942c5a758f98d790eaed1a29cb6eefc7ffb0d1cf7af05c3d2791656dbd6ad1e1"}, + {file = "requests-2.32.2-py3-none-any.whl", hash = "sha256:fc06670dd0ed212426dfeb94fc1b983d917c4f9847c863f313c9dfaaffb7c23c"}, + {file = "requests-2.32.2.tar.gz", hash = "sha256:dd951ff5ecf3e3b3aa26b40703ba77495dab41da839ae72ef3c8e5d8e2433289"}, ] [package.dependencies] @@ -7935,16 +8020,6 @@ pygments = ">=2.13.0,<3.0.0" [package.extras] jupyter = ["ipywidgets (>=7.5.1,<9)"] -[[package]] -name = "roundrobin" -version = "0.0.4" -description = "Collection of roundrobin utilities" -optional = false -python-versions = "*" -files = [ - {file = "roundrobin-0.0.4.tar.gz", hash = "sha256:7e9d19a5bd6123d99993fb935fa86d25c88bb2096e493885f61737ed0f5e9abd"}, -] - [[package]] name = "rsa" version = "4.9" @@ -7959,25 +8034,6 @@ files = [ [package.dependencies] pyasn1 = ">=0.1.3" -[[package]] -name = "rtfde" -version = "0.1.1" -description = "A library for extracting HTML content from RTF encapsulated HTML as commonly found in the exchange MSG email format." -optional = false -python-versions = ">=3.8" -files = [ - {file = "RTFDE-0.1.1-py3-none-any.whl", hash = "sha256:ea7ab0e0b9d4af08415f5017ecff91d74e24216a5e4e4682155cedc478035e99"}, - {file = "RTFDE-0.1.1.tar.gz", hash = "sha256:9e43485e79b2dd1018127735d8134f65d2a9d73af314d2a101f10346333b241e"}, -] - -[package.dependencies] -lark = "1.1.8" -oletools = ">=0.56" - -[package.extras] -dev = ["coverage (>=7.2.2)", "lxml (>=4.6)", "mypy (>=1.1.1)", "pdoc3 (>=0.10.0)"] -msg-parse = ["extract-msg (>=0.27)"] - [[package]] name = "ruff" version = "0.3.7" @@ -8145,78 +8201,81 @@ torch = ["safetensors[numpy]", "torch (>=1.10)"] [[package]] name = "scikit-learn" -version = "1.4.2" +version = "1.5.0" description = "A set of python modules for machine learning and data mining" optional = true python-versions = ">=3.9" files = [ - {file = "scikit-learn-1.4.2.tar.gz", hash = "sha256:daa1c471d95bad080c6e44b4946c9390a4842adc3082572c20e4f8884e39e959"}, - {file = "scikit_learn-1.4.2-cp310-cp310-macosx_10_9_x86_64.whl", hash = "sha256:8539a41b3d6d1af82eb629f9c57f37428ff1481c1e34dddb3b9d7af8ede67ac5"}, - {file = "scikit_learn-1.4.2-cp310-cp310-macosx_12_0_arm64.whl", hash = "sha256:68b8404841f944a4a1459b07198fa2edd41a82f189b44f3e1d55c104dbc2e40c"}, - {file = "scikit_learn-1.4.2-cp310-cp310-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:81bf5d8bbe87643103334032dd82f7419bc8c8d02a763643a6b9a5c7288c5054"}, - {file = "scikit_learn-1.4.2-cp310-cp310-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:36f0ea5d0f693cb247a073d21a4123bdf4172e470e6d163c12b74cbb1536cf38"}, - {file = "scikit_learn-1.4.2-cp310-cp310-win_amd64.whl", hash = "sha256:87440e2e188c87db80ea4023440923dccbd56fbc2d557b18ced00fef79da0727"}, - {file = "scikit_learn-1.4.2-cp311-cp311-macosx_10_9_x86_64.whl", hash = "sha256:45dee87ac5309bb82e3ea633955030df9bbcb8d2cdb30383c6cd483691c546cc"}, - {file = "scikit_learn-1.4.2-cp311-cp311-macosx_12_0_arm64.whl", hash = "sha256:1d0b25d9c651fd050555aadd57431b53d4cf664e749069da77f3d52c5ad14b3b"}, - {file = "scikit_learn-1.4.2-cp311-cp311-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:b0203c368058ab92efc6168a1507d388d41469c873e96ec220ca8e74079bf62e"}, - {file = "scikit_learn-1.4.2-cp311-cp311-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:44c62f2b124848a28fd695db5bc4da019287abf390bfce602ddc8aa1ec186aae"}, - {file = "scikit_learn-1.4.2-cp311-cp311-win_amd64.whl", hash = "sha256:5cd7b524115499b18b63f0c96f4224eb885564937a0b3477531b2b63ce331904"}, - {file = "scikit_learn-1.4.2-cp312-cp312-macosx_10_9_x86_64.whl", hash = "sha256:90378e1747949f90c8f385898fff35d73193dfcaec3dd75d6b542f90c4e89755"}, - {file = "scikit_learn-1.4.2-cp312-cp312-macosx_12_0_arm64.whl", hash = "sha256:ff4effe5a1d4e8fed260a83a163f7dbf4f6087b54528d8880bab1d1377bd78be"}, - {file = "scikit_learn-1.4.2-cp312-cp312-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:671e2f0c3f2c15409dae4f282a3a619601fa824d2c820e5b608d9d775f91780c"}, - {file = "scikit_learn-1.4.2-cp312-cp312-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:d36d0bc983336bbc1be22f9b686b50c964f593c8a9a913a792442af9bf4f5e68"}, - {file = "scikit_learn-1.4.2-cp312-cp312-win_amd64.whl", hash = "sha256:d762070980c17ba3e9a4a1e043ba0518ce4c55152032f1af0ca6f39b376b5928"}, - {file = "scikit_learn-1.4.2-cp39-cp39-macosx_10_9_x86_64.whl", hash = "sha256:d9993d5e78a8148b1d0fdf5b15ed92452af5581734129998c26f481c46586d68"}, - {file = "scikit_learn-1.4.2-cp39-cp39-macosx_12_0_arm64.whl", hash = "sha256:426d258fddac674fdf33f3cb2d54d26f49406e2599dbf9a32b4d1696091d4256"}, - {file = "scikit_learn-1.4.2-cp39-cp39-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:5460a1a5b043ae5ae4596b3126a4ec33ccba1b51e7ca2c5d36dac2169f62ab1d"}, - {file = "scikit_learn-1.4.2-cp39-cp39-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:49d64ef6cb8c093d883e5a36c4766548d974898d378e395ba41a806d0e824db8"}, - {file = "scikit_learn-1.4.2-cp39-cp39-win_amd64.whl", hash = "sha256:c97a50b05c194be9146d61fe87dbf8eac62b203d9e87a3ccc6ae9aed2dfaf361"}, + {file = "scikit_learn-1.5.0-cp310-cp310-macosx_10_9_x86_64.whl", hash = "sha256:12e40ac48555e6b551f0a0a5743cc94cc5a765c9513fe708e01f0aa001da2801"}, + {file = "scikit_learn-1.5.0-cp310-cp310-macosx_12_0_arm64.whl", hash = "sha256:f405c4dae288f5f6553b10c4ac9ea7754d5180ec11e296464adb5d6ac68b6ef5"}, + {file = "scikit_learn-1.5.0-cp310-cp310-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:df8ccabbf583315f13160a4bb06037bde99ea7d8211a69787a6b7c5d4ebb6fc3"}, + {file = "scikit_learn-1.5.0-cp310-cp310-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:2c75ea812cd83b1385bbfa94ae971f0d80adb338a9523f6bbcb5e0b0381151d4"}, + {file = "scikit_learn-1.5.0-cp310-cp310-win_amd64.whl", hash = "sha256:a90c5da84829a0b9b4bf00daf62754b2be741e66b5946911f5bdfaa869fcedd6"}, + {file = "scikit_learn-1.5.0-cp311-cp311-macosx_10_9_x86_64.whl", hash = "sha256:2a65af2d8a6cce4e163a7951a4cfbfa7fceb2d5c013a4b593686c7f16445cf9d"}, + {file = "scikit_learn-1.5.0-cp311-cp311-macosx_12_0_arm64.whl", hash = "sha256:4c0c56c3005f2ec1db3787aeaabefa96256580678cec783986836fc64f8ff622"}, + {file = "scikit_learn-1.5.0-cp311-cp311-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:1f77547165c00625551e5c250cefa3f03f2fc92c5e18668abd90bfc4be2e0bff"}, + {file = "scikit_learn-1.5.0-cp311-cp311-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:118a8d229a41158c9f90093e46b3737120a165181a1b58c03461447aa4657415"}, + {file = "scikit_learn-1.5.0-cp311-cp311-win_amd64.whl", hash = "sha256:a03b09f9f7f09ffe8c5efffe2e9de1196c696d811be6798ad5eddf323c6f4d40"}, + {file = "scikit_learn-1.5.0-cp312-cp312-macosx_10_9_x86_64.whl", hash = "sha256:460806030c666addee1f074788b3978329a5bfdc9b7d63e7aad3f6d45c67a210"}, + {file = "scikit_learn-1.5.0-cp312-cp312-macosx_12_0_arm64.whl", hash = "sha256:1b94d6440603752b27842eda97f6395f570941857456c606eb1d638efdb38184"}, + {file = "scikit_learn-1.5.0-cp312-cp312-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:d82c2e573f0f2f2f0be897e7a31fcf4e73869247738ab8c3ce7245549af58ab8"}, + {file = "scikit_learn-1.5.0-cp312-cp312-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:a3a10e1d9e834e84d05e468ec501a356226338778769317ee0b84043c0d8fb06"}, + {file = "scikit_learn-1.5.0-cp312-cp312-win_amd64.whl", hash = "sha256:855fc5fa8ed9e4f08291203af3d3e5fbdc4737bd617a371559aaa2088166046e"}, + {file = "scikit_learn-1.5.0-cp39-cp39-macosx_10_9_x86_64.whl", hash = "sha256:40fb7d4a9a2db07e6e0cae4dc7bdbb8fada17043bac24104d8165e10e4cff1a2"}, + {file = "scikit_learn-1.5.0-cp39-cp39-macosx_12_0_arm64.whl", hash = "sha256:47132440050b1c5beb95f8ba0b2402bbd9057ce96ec0ba86f2f445dd4f34df67"}, + {file = "scikit_learn-1.5.0-cp39-cp39-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:174beb56e3e881c90424e21f576fa69c4ffcf5174632a79ab4461c4c960315ac"}, + {file = "scikit_learn-1.5.0-cp39-cp39-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:261fe334ca48f09ed64b8fae13f9b46cc43ac5f580c4a605cbb0a517456c8f71"}, + {file = "scikit_learn-1.5.0-cp39-cp39-win_amd64.whl", hash = "sha256:057b991ac64b3e75c9c04b5f9395eaf19a6179244c089afdebaad98264bff37c"}, + {file = "scikit_learn-1.5.0.tar.gz", hash = "sha256:789e3db01c750ed6d496fa2db7d50637857b451e57bcae863bff707c1247bef7"}, ] [package.dependencies] joblib = ">=1.2.0" numpy = ">=1.19.5" scipy = ">=1.6.0" -threadpoolctl = ">=2.0.0" +threadpoolctl = ">=3.1.0" [package.extras] -benchmark = ["matplotlib (>=3.3.4)", "memory-profiler (>=0.57.0)", "pandas (>=1.1.5)"] -docs = ["Pillow (>=7.1.2)", "matplotlib (>=3.3.4)", "memory-profiler (>=0.57.0)", "numpydoc (>=1.2.0)", "pandas (>=1.1.5)", "plotly (>=5.14.0)", "pooch (>=1.6.0)", "scikit-image (>=0.17.2)", "seaborn (>=0.9.0)", "sphinx (>=6.0.0)", "sphinx-copybutton (>=0.5.2)", "sphinx-gallery (>=0.15.0)", "sphinx-prompt (>=1.3.0)", "sphinxext-opengraph (>=0.4.2)"] +benchmark = ["matplotlib (>=3.3.4)", "memory_profiler (>=0.57.0)", "pandas (>=1.1.5)"] +build = ["cython (>=3.0.10)", "meson-python (>=0.15.0)", "numpy (>=1.19.5)", "scipy (>=1.6.0)"] +docs = ["Pillow (>=7.1.2)", "matplotlib (>=3.3.4)", "memory_profiler (>=0.57.0)", "numpydoc (>=1.2.0)", "pandas (>=1.1.5)", "plotly (>=5.14.0)", "polars (>=0.20.23)", "pooch (>=1.6.0)", "scikit-image (>=0.17.2)", "seaborn (>=0.9.0)", "sphinx (>=6.0.0)", "sphinx-copybutton (>=0.5.2)", "sphinx-gallery (>=0.15.0)", "sphinx-prompt (>=1.3.0)", "sphinxext-opengraph (>=0.4.2)"] examples = ["matplotlib (>=3.3.4)", "pandas (>=1.1.5)", "plotly (>=5.14.0)", "pooch (>=1.6.0)", "scikit-image (>=0.17.2)", "seaborn (>=0.9.0)"] -tests = ["black (>=23.3.0)", "matplotlib (>=3.3.4)", "mypy (>=1.3)", "numpydoc (>=1.2.0)", "pandas (>=1.1.5)", "polars (>=0.19.12)", "pooch (>=1.6.0)", "pyamg (>=4.0.0)", "pyarrow (>=12.0.0)", "pytest (>=7.1.2)", "pytest-cov (>=2.9.0)", "ruff (>=0.0.272)", "scikit-image (>=0.17.2)"] +install = ["joblib (>=1.2.0)", "numpy (>=1.19.5)", "scipy (>=1.6.0)", "threadpoolctl (>=3.1.0)"] +maintenance = ["conda-lock (==2.5.6)"] +tests = ["black (>=24.3.0)", "matplotlib (>=3.3.4)", "mypy (>=1.9)", "numpydoc (>=1.2.0)", "pandas (>=1.1.5)", "polars (>=0.20.23)", "pooch (>=1.6.0)", "pyamg (>=4.0.0)", "pyarrow (>=12.0.0)", "pytest (>=7.1.2)", "pytest-cov (>=2.9.0)", "ruff (>=0.2.1)", "scikit-image (>=0.17.2)"] [[package]] name = "scipy" -version = "1.13.0" +version = "1.13.1" description = "Fundamental algorithms for scientific computing in Python" optional = true python-versions = ">=3.9" files = [ - {file = "scipy-1.13.0-cp310-cp310-macosx_10_9_x86_64.whl", hash = "sha256:ba419578ab343a4e0a77c0ef82f088238a93eef141b2b8017e46149776dfad4d"}, - {file = "scipy-1.13.0-cp310-cp310-macosx_12_0_arm64.whl", hash = "sha256:22789b56a999265431c417d462e5b7f2b487e831ca7bef5edeb56efe4c93f86e"}, - {file = "scipy-1.13.0-cp310-cp310-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:05f1432ba070e90d42d7fd836462c50bf98bd08bed0aa616c359eed8a04e3922"}, - {file = "scipy-1.13.0-cp310-cp310-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:b8434f6f3fa49f631fae84afee424e2483289dfc30a47755b4b4e6b07b2633a4"}, - {file = "scipy-1.13.0-cp310-cp310-musllinux_1_1_x86_64.whl", hash = "sha256:dcbb9ea49b0167de4167c40eeee6e167caeef11effb0670b554d10b1e693a8b9"}, - {file = "scipy-1.13.0-cp310-cp310-win_amd64.whl", hash = "sha256:1d2f7bb14c178f8b13ebae93f67e42b0a6b0fc50eba1cd8021c9b6e08e8fb1cd"}, - {file = "scipy-1.13.0-cp311-cp311-macosx_10_9_x86_64.whl", hash = "sha256:0fbcf8abaf5aa2dc8d6400566c1a727aed338b5fe880cde64907596a89d576fa"}, - {file = "scipy-1.13.0-cp311-cp311-macosx_12_0_arm64.whl", hash = "sha256:5e4a756355522eb60fcd61f8372ac2549073c8788f6114449b37e9e8104f15a5"}, - {file = "scipy-1.13.0-cp311-cp311-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:b5acd8e1dbd8dbe38d0004b1497019b2dbbc3d70691e65d69615f8a7292865d7"}, - {file = "scipy-1.13.0-cp311-cp311-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:9ff7dad5d24a8045d836671e082a490848e8639cabb3dbdacb29f943a678683d"}, - {file = "scipy-1.13.0-cp311-cp311-musllinux_1_1_x86_64.whl", hash = "sha256:4dca18c3ffee287ddd3bc8f1dabaf45f5305c5afc9f8ab9cbfab855e70b2df5c"}, - {file = "scipy-1.13.0-cp311-cp311-win_amd64.whl", hash = "sha256:a2f471de4d01200718b2b8927f7d76b5d9bde18047ea0fa8bd15c5ba3f26a1d6"}, - {file = "scipy-1.13.0-cp312-cp312-macosx_10_9_x86_64.whl", hash = "sha256:d0de696f589681c2802f9090fff730c218f7c51ff49bf252b6a97ec4a5d19e8b"}, - {file = "scipy-1.13.0-cp312-cp312-macosx_12_0_arm64.whl", hash = "sha256:b2a3ff461ec4756b7e8e42e1c681077349a038f0686132d623fa404c0bee2551"}, - {file = "scipy-1.13.0-cp312-cp312-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:6bf9fe63e7a4bf01d3645b13ff2aa6dea023d38993f42aaac81a18b1bda7a82a"}, - {file = "scipy-1.13.0-cp312-cp312-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:1e7626dfd91cdea5714f343ce1176b6c4745155d234f1033584154f60ef1ff42"}, - {file = "scipy-1.13.0-cp312-cp312-musllinux_1_1_x86_64.whl", hash = "sha256:109d391d720fcebf2fbe008621952b08e52907cf4c8c7efc7376822151820820"}, - {file = "scipy-1.13.0-cp312-cp312-win_amd64.whl", hash = "sha256:8930ae3ea371d6b91c203b1032b9600d69c568e537b7988a3073dfe4d4774f21"}, - {file = "scipy-1.13.0-cp39-cp39-macosx_10_9_x86_64.whl", hash = "sha256:5407708195cb38d70fd2d6bb04b1b9dd5c92297d86e9f9daae1576bd9e06f602"}, - {file = "scipy-1.13.0-cp39-cp39-macosx_12_0_arm64.whl", hash = "sha256:ac38c4c92951ac0f729c4c48c9e13eb3675d9986cc0c83943784d7390d540c78"}, - {file = "scipy-1.13.0-cp39-cp39-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:09c74543c4fbeb67af6ce457f6a6a28e5d3739a87f62412e4a16e46f164f0ae5"}, - {file = "scipy-1.13.0-cp39-cp39-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:28e286bf9ac422d6beb559bc61312c348ca9b0f0dae0d7c5afde7f722d6ea13d"}, - {file = "scipy-1.13.0-cp39-cp39-musllinux_1_1_x86_64.whl", hash = "sha256:33fde20efc380bd23a78a4d26d59fc8704e9b5fd9b08841693eb46716ba13d86"}, - {file = "scipy-1.13.0-cp39-cp39-win_amd64.whl", hash = "sha256:45c08bec71d3546d606989ba6e7daa6f0992918171e2a6f7fbedfa7361c2de1e"}, - {file = "scipy-1.13.0.tar.gz", hash = "sha256:58569af537ea29d3f78e5abd18398459f195546bb3be23d16677fb26616cc11e"}, + {file = "scipy-1.13.1-cp310-cp310-macosx_10_9_x86_64.whl", hash = "sha256:20335853b85e9a49ff7572ab453794298bcf0354d8068c5f6775a0eabf350aca"}, + {file = "scipy-1.13.1-cp310-cp310-macosx_12_0_arm64.whl", hash = "sha256:d605e9c23906d1994f55ace80e0125c587f96c020037ea6aa98d01b4bd2e222f"}, + {file = "scipy-1.13.1-cp310-cp310-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:cfa31f1def5c819b19ecc3a8b52d28ffdcc7ed52bb20c9a7589669dd3c250989"}, + {file = "scipy-1.13.1-cp310-cp310-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:f26264b282b9da0952a024ae34710c2aff7d27480ee91a2e82b7b7073c24722f"}, + {file = "scipy-1.13.1-cp310-cp310-musllinux_1_1_x86_64.whl", hash = "sha256:eccfa1906eacc02de42d70ef4aecea45415f5be17e72b61bafcfd329bdc52e94"}, + {file = "scipy-1.13.1-cp310-cp310-win_amd64.whl", hash = "sha256:2831f0dc9c5ea9edd6e51e6e769b655f08ec6db6e2e10f86ef39bd32eb11da54"}, + {file = "scipy-1.13.1-cp311-cp311-macosx_10_9_x86_64.whl", hash = "sha256:27e52b09c0d3a1d5b63e1105f24177e544a222b43611aaf5bc44d4a0979e32f9"}, + {file = "scipy-1.13.1-cp311-cp311-macosx_12_0_arm64.whl", hash = "sha256:54f430b00f0133e2224c3ba42b805bfd0086fe488835effa33fa291561932326"}, + {file = "scipy-1.13.1-cp311-cp311-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:e89369d27f9e7b0884ae559a3a956e77c02114cc60a6058b4e5011572eea9299"}, + {file = "scipy-1.13.1-cp311-cp311-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:a78b4b3345f1b6f68a763c6e25c0c9a23a9fd0f39f5f3d200efe8feda560a5fa"}, + {file = "scipy-1.13.1-cp311-cp311-musllinux_1_1_x86_64.whl", hash = "sha256:45484bee6d65633752c490404513b9ef02475b4284c4cfab0ef946def50b3f59"}, + {file = "scipy-1.13.1-cp311-cp311-win_amd64.whl", hash = "sha256:5713f62f781eebd8d597eb3f88b8bf9274e79eeabf63afb4a737abc6c84ad37b"}, + {file = "scipy-1.13.1-cp312-cp312-macosx_10_9_x86_64.whl", hash = "sha256:5d72782f39716b2b3509cd7c33cdc08c96f2f4d2b06d51e52fb45a19ca0c86a1"}, + {file = "scipy-1.13.1-cp312-cp312-macosx_12_0_arm64.whl", hash = "sha256:017367484ce5498445aade74b1d5ab377acdc65e27095155e448c88497755a5d"}, + {file = "scipy-1.13.1-cp312-cp312-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:949ae67db5fa78a86e8fa644b9a6b07252f449dcf74247108c50e1d20d2b4627"}, + {file = "scipy-1.13.1-cp312-cp312-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:de3ade0e53bc1f21358aa74ff4830235d716211d7d077e340c7349bc3542e884"}, + {file = "scipy-1.13.1-cp312-cp312-musllinux_1_1_x86_64.whl", hash = "sha256:2ac65fb503dad64218c228e2dc2d0a0193f7904747db43014645ae139c8fad16"}, + {file = "scipy-1.13.1-cp312-cp312-win_amd64.whl", hash = "sha256:cdd7dacfb95fea358916410ec61bbc20440f7860333aee6d882bb8046264e949"}, + {file = "scipy-1.13.1-cp39-cp39-macosx_10_9_x86_64.whl", hash = "sha256:436bbb42a94a8aeef855d755ce5a465479c721e9d684de76bf61a62e7c2b81d5"}, + {file = "scipy-1.13.1-cp39-cp39-macosx_12_0_arm64.whl", hash = "sha256:8335549ebbca860c52bf3d02f80784e91a004b71b059e3eea9678ba994796a24"}, + {file = "scipy-1.13.1-cp39-cp39-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:d533654b7d221a6a97304ab63c41c96473ff04459e404b83275b60aa8f4b7004"}, + {file = "scipy-1.13.1-cp39-cp39-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:637e98dcf185ba7f8e663e122ebf908c4702420477ae52a04f9908707456ba4d"}, + {file = "scipy-1.13.1-cp39-cp39-musllinux_1_1_x86_64.whl", hash = "sha256:a014c2b3697bde71724244f63de2476925596c24285c7a637364761f8710891c"}, + {file = "scipy-1.13.1-cp39-cp39-win_amd64.whl", hash = "sha256:392e4ec766654852c25ebad4f64e4e584cf19820b980bc04960bca0b0cd6eaa2"}, + {file = "scipy-1.13.1.tar.gz", hash = "sha256:095a87a0312b08dfd6a6155cbbd310a8c51800fc931b8c0b84003014b874ed3c"}, ] [package.dependencies] @@ -8253,19 +8312,75 @@ dev = ["pre-commit", "pytest", "ruff (>=0.3.0)"] [[package]] name = "setuptools" -version = "69.5.1" +version = "70.0.0" description = "Easily download, build, install, upgrade, and uninstall Python packages" optional = false python-versions = ">=3.8" files = [ - {file = "setuptools-69.5.1-py3-none-any.whl", hash = "sha256:c636ac361bc47580504644275c9ad802c50415c7522212252c033bd15f301f32"}, - {file = "setuptools-69.5.1.tar.gz", hash = "sha256:6c1fccdac05a97e598fb0ae3bbed5904ccb317337a51139dcd51453611bbb987"}, + {file = "setuptools-70.0.0-py3-none-any.whl", hash = "sha256:54faa7f2e8d2d11bcd2c07bed282eef1046b5c080d1c32add737d7b5817b1ad4"}, + {file = "setuptools-70.0.0.tar.gz", hash = "sha256:f211a66637b8fa059bb28183da127d4e86396c991a942b028c6650d4319c3fd0"}, ] [package.extras] -docs = ["furo", "jaraco.packaging (>=9.3)", "jaraco.tidelift (>=1.4)", "pygments-github-lexers (==0.0.5)", "rst.linker (>=1.9)", "sphinx (>=3.5)", "sphinx-favicon", "sphinx-inline-tabs", "sphinx-lint", "sphinx-notfound-page (>=1,<2)", "sphinx-reredirects", "sphinxcontrib-towncrier"] -testing = ["build[virtualenv]", "filelock (>=3.4.0)", "importlib-metadata", "ini2toml[lite] (>=0.9)", "jaraco.develop (>=7.21)", "jaraco.envs (>=2.2)", "jaraco.path (>=3.2.0)", "mypy (==1.9)", "packaging (>=23.2)", "pip (>=19.1)", "pytest (>=6,!=8.1.1)", "pytest-checkdocs (>=2.4)", "pytest-cov", "pytest-enabler (>=2.2)", "pytest-home (>=0.5)", "pytest-mypy", "pytest-perf", "pytest-ruff (>=0.2.1)", "pytest-timeout", "pytest-xdist (>=3)", "tomli", "tomli-w (>=1.0.0)", "virtualenv (>=13.0.0)", "wheel"] -testing-integration = ["build[virtualenv] (>=1.0.3)", "filelock (>=3.4.0)", "jaraco.envs (>=2.2)", "jaraco.path (>=3.2.0)", "packaging (>=23.2)", "pytest", "pytest-enabler", "pytest-xdist", "tomli", "virtualenv (>=13.0.0)", "wheel"] +docs = ["furo", "jaraco.packaging (>=9.3)", "jaraco.tidelift (>=1.4)", "pygments-github-lexers (==0.0.5)", "pyproject-hooks (!=1.1)", "rst.linker (>=1.9)", "sphinx (>=3.5)", "sphinx-favicon", "sphinx-inline-tabs", "sphinx-lint", "sphinx-notfound-page (>=1,<2)", "sphinx-reredirects", "sphinxcontrib-towncrier"] +testing = ["build[virtualenv] (>=1.0.3)", "filelock (>=3.4.0)", "importlib-metadata", "ini2toml[lite] (>=0.14)", "jaraco.develop (>=7.21)", "jaraco.envs (>=2.2)", "jaraco.path (>=3.2.0)", "mypy (==1.9)", "packaging (>=23.2)", "pip (>=19.1)", "pyproject-hooks (!=1.1)", "pytest (>=6,!=8.1.1)", "pytest-checkdocs (>=2.4)", "pytest-cov", "pytest-enabler (>=2.2)", "pytest-home (>=0.5)", "pytest-mypy", "pytest-perf", "pytest-ruff (>=0.2.1)", "pytest-subprocess", "pytest-timeout", "pytest-xdist (>=3)", "tomli", "tomli-w (>=1.0.0)", "virtualenv (>=13.0.0)", "wheel"] + +[[package]] +name = "shapely" +version = "2.0.4" +description = "Manipulation and analysis of geometric objects" +optional = false +python-versions = ">=3.7" +files = [ + {file = "shapely-2.0.4-cp310-cp310-macosx_10_9_universal2.whl", hash = "sha256:011b77153906030b795791f2fdfa2d68f1a8d7e40bce78b029782ade3afe4f2f"}, + {file = "shapely-2.0.4-cp310-cp310-macosx_10_9_x86_64.whl", hash = "sha256:9831816a5d34d5170aa9ed32a64982c3d6f4332e7ecfe62dc97767e163cb0b17"}, + {file = "shapely-2.0.4-cp310-cp310-macosx_11_0_arm64.whl", hash = "sha256:5c4849916f71dc44e19ed370421518c0d86cf73b26e8656192fcfcda08218fbd"}, + {file = "shapely-2.0.4-cp310-cp310-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:841f93a0e31e4c64d62ea570d81c35de0f6cea224568b2430d832967536308e6"}, + {file = "shapely-2.0.4-cp310-cp310-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:d2b4431f522b277c79c34b65da128029a9955e4481462cbf7ebec23aab61fc58"}, + {file = "shapely-2.0.4-cp310-cp310-win32.whl", hash = "sha256:92a41d936f7d6743f343be265ace93b7c57f5b231e21b9605716f5a47c2879e7"}, + {file = "shapely-2.0.4-cp310-cp310-win_amd64.whl", hash = "sha256:30982f79f21bb0ff7d7d4a4e531e3fcaa39b778584c2ce81a147f95be1cd58c9"}, + {file = "shapely-2.0.4-cp311-cp311-macosx_10_9_universal2.whl", hash = "sha256:de0205cb21ad5ddaef607cda9a3191eadd1e7a62a756ea3a356369675230ac35"}, + {file = "shapely-2.0.4-cp311-cp311-macosx_10_9_x86_64.whl", hash = "sha256:7d56ce3e2a6a556b59a288771cf9d091470116867e578bebced8bfc4147fbfd7"}, + {file = "shapely-2.0.4-cp311-cp311-macosx_11_0_arm64.whl", hash = "sha256:58b0ecc505bbe49a99551eea3f2e8a9b3b24b3edd2a4de1ac0dc17bc75c9ec07"}, + {file = "shapely-2.0.4-cp311-cp311-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:790a168a808bd00ee42786b8ba883307c0e3684ebb292e0e20009588c426da47"}, + {file = "shapely-2.0.4-cp311-cp311-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:4310b5494271e18580d61022c0857eb85d30510d88606fa3b8314790df7f367d"}, + {file = "shapely-2.0.4-cp311-cp311-win32.whl", hash = "sha256:63f3a80daf4f867bd80f5c97fbe03314348ac1b3b70fb1c0ad255a69e3749879"}, + {file = "shapely-2.0.4-cp311-cp311-win_amd64.whl", hash = "sha256:c52ed79f683f721b69a10fb9e3d940a468203f5054927215586c5d49a072de8d"}, + {file = "shapely-2.0.4-cp312-cp312-macosx_10_9_universal2.whl", hash = "sha256:5bbd974193e2cc274312da16b189b38f5f128410f3377721cadb76b1e8ca5328"}, + {file = "shapely-2.0.4-cp312-cp312-macosx_10_9_x86_64.whl", hash = "sha256:41388321a73ba1a84edd90d86ecc8bfed55e6a1e51882eafb019f45895ec0f65"}, + {file = "shapely-2.0.4-cp312-cp312-macosx_11_0_arm64.whl", hash = "sha256:0776c92d584f72f1e584d2e43cfc5542c2f3dd19d53f70df0900fda643f4bae6"}, + {file = "shapely-2.0.4-cp312-cp312-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:c75c98380b1ede1cae9a252c6dc247e6279403fae38c77060a5e6186c95073ac"}, + {file = "shapely-2.0.4-cp312-cp312-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:c3e700abf4a37b7b8b90532fa6ed5c38a9bfc777098bc9fbae5ec8e618ac8f30"}, + {file = "shapely-2.0.4-cp312-cp312-win32.whl", hash = "sha256:4f2ab0faf8188b9f99e6a273b24b97662194160cc8ca17cf9d1fb6f18d7fb93f"}, + {file = "shapely-2.0.4-cp312-cp312-win_amd64.whl", hash = "sha256:03152442d311a5e85ac73b39680dd64a9892fa42bb08fd83b3bab4fe6999bfa0"}, + {file = "shapely-2.0.4-cp37-cp37m-macosx_10_9_x86_64.whl", hash = "sha256:994c244e004bc3cfbea96257b883c90a86e8cbd76e069718eb4c6b222a56f78b"}, + {file = "shapely-2.0.4-cp37-cp37m-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:05ffd6491e9e8958b742b0e2e7c346635033d0a5f1a0ea083547fcc854e5d5cf"}, + {file = "shapely-2.0.4-cp37-cp37m-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:2fbdc1140a7d08faa748256438291394967aa54b40009f54e8d9825e75ef6113"}, + {file = "shapely-2.0.4-cp37-cp37m-win32.whl", hash = "sha256:5af4cd0d8cf2912bd95f33586600cac9c4b7c5053a036422b97cfe4728d2eb53"}, + {file = "shapely-2.0.4-cp37-cp37m-win_amd64.whl", hash = "sha256:464157509ce4efa5ff285c646a38b49f8c5ef8d4b340f722685b09bb033c5ccf"}, + {file = "shapely-2.0.4-cp38-cp38-macosx_10_9_universal2.whl", hash = "sha256:489c19152ec1f0e5c5e525356bcbf7e532f311bff630c9b6bc2db6f04da6a8b9"}, + {file = "shapely-2.0.4-cp38-cp38-macosx_10_9_x86_64.whl", hash = "sha256:b79bbd648664aa6f44ef018474ff958b6b296fed5c2d42db60078de3cffbc8aa"}, + {file = "shapely-2.0.4-cp38-cp38-macosx_11_0_arm64.whl", hash = "sha256:674d7baf0015a6037d5758496d550fc1946f34bfc89c1bf247cabdc415d7747e"}, + {file = "shapely-2.0.4-cp38-cp38-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:6cd4ccecc5ea5abd06deeaab52fcdba372f649728050c6143cc405ee0c166679"}, + {file = "shapely-2.0.4-cp38-cp38-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:fb5cdcbbe3080181498931b52a91a21a781a35dcb859da741c0345c6402bf00c"}, + {file = "shapely-2.0.4-cp38-cp38-win32.whl", hash = "sha256:55a38dcd1cee2f298d8c2ebc60fc7d39f3b4535684a1e9e2f39a80ae88b0cea7"}, + {file = "shapely-2.0.4-cp38-cp38-win_amd64.whl", hash = "sha256:ec555c9d0db12d7fd777ba3f8b75044c73e576c720a851667432fabb7057da6c"}, + {file = "shapely-2.0.4-cp39-cp39-macosx_10_9_universal2.whl", hash = "sha256:3f9103abd1678cb1b5f7e8e1af565a652e036844166c91ec031eeb25c5ca8af0"}, + {file = "shapely-2.0.4-cp39-cp39-macosx_10_9_x86_64.whl", hash = "sha256:263bcf0c24d7a57c80991e64ab57cba7a3906e31d2e21b455f493d4aab534aaa"}, + {file = "shapely-2.0.4-cp39-cp39-macosx_11_0_arm64.whl", hash = "sha256:ddf4a9bfaac643e62702ed662afc36f6abed2a88a21270e891038f9a19bc08fc"}, + {file = "shapely-2.0.4-cp39-cp39-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:485246fcdb93336105c29a5cfbff8a226949db37b7473c89caa26c9bae52a242"}, + {file = "shapely-2.0.4-cp39-cp39-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:8de4578e838a9409b5b134a18ee820730e507b2d21700c14b71a2b0757396acc"}, + {file = "shapely-2.0.4-cp39-cp39-win32.whl", hash = "sha256:9dab4c98acfb5fb85f5a20548b5c0abe9b163ad3525ee28822ffecb5c40e724c"}, + {file = "shapely-2.0.4-cp39-cp39-win_amd64.whl", hash = "sha256:31c19a668b5a1eadab82ff070b5a260478ac6ddad3a5b62295095174a8d26398"}, + {file = "shapely-2.0.4.tar.gz", hash = "sha256:5dc736127fac70009b8d309a0eeb74f3e08979e530cf7017f2f507ef62e6cfb8"}, +] + +[package.dependencies] +numpy = ">=1.14,<3" + +[package.extras] +docs = ["matplotlib", "numpydoc (==1.1.*)", "sphinx", "sphinx-book-theme", "sphinx-remove-toctrees"] +test = ["pytest", "pytest-cov"] [[package]] name = "shellingham" @@ -8330,60 +8445,60 @@ files = [ [[package]] name = "sqlalchemy" -version = "2.0.29" +version = "2.0.30" description = "Database Abstraction Library" optional = false python-versions = ">=3.7" files = [ - {file = "SQLAlchemy-2.0.29-cp310-cp310-macosx_10_9_x86_64.whl", hash = "sha256:4c142852ae192e9fe5aad5c350ea6befe9db14370b34047e1f0f7cf99e63c63b"}, - {file = "SQLAlchemy-2.0.29-cp310-cp310-macosx_11_0_arm64.whl", hash = "sha256:99a1e69d4e26f71e750e9ad6fdc8614fbddb67cfe2173a3628a2566034e223c7"}, - {file = "SQLAlchemy-2.0.29-cp310-cp310-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:5ef3fbccb4058355053c51b82fd3501a6e13dd808c8d8cd2561e610c5456013c"}, - {file = "SQLAlchemy-2.0.29-cp310-cp310-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:9d6753305936eddc8ed190e006b7bb33a8f50b9854823485eed3a886857ab8d1"}, - {file = "SQLAlchemy-2.0.29-cp310-cp310-musllinux_1_1_aarch64.whl", hash = "sha256:0f3ca96af060a5250a8ad5a63699180bc780c2edf8abf96c58af175921df847a"}, - {file = "SQLAlchemy-2.0.29-cp310-cp310-musllinux_1_1_x86_64.whl", hash = "sha256:c4520047006b1d3f0d89e0532978c0688219857eb2fee7c48052560ae76aca1e"}, - {file = "SQLAlchemy-2.0.29-cp310-cp310-win32.whl", hash = "sha256:b2a0e3cf0caac2085ff172c3faacd1e00c376e6884b5bc4dd5b6b84623e29e4f"}, - {file = "SQLAlchemy-2.0.29-cp310-cp310-win_amd64.whl", hash = "sha256:01d10638a37460616708062a40c7b55f73e4d35eaa146781c683e0fa7f6c43fb"}, - {file = "SQLAlchemy-2.0.29-cp311-cp311-macosx_10_9_x86_64.whl", hash = "sha256:308ef9cb41d099099fffc9d35781638986870b29f744382904bf9c7dadd08513"}, - {file = "SQLAlchemy-2.0.29-cp311-cp311-macosx_11_0_arm64.whl", hash = "sha256:296195df68326a48385e7a96e877bc19aa210e485fa381c5246bc0234c36c78e"}, - {file = "SQLAlchemy-2.0.29-cp311-cp311-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:a13b917b4ffe5a0a31b83d051d60477819ddf18276852ea68037a144a506efb9"}, - {file = "SQLAlchemy-2.0.29-cp311-cp311-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:4f6d971255d9ddbd3189e2e79d743ff4845c07f0633adfd1de3f63d930dbe673"}, - {file = "SQLAlchemy-2.0.29-cp311-cp311-musllinux_1_1_aarch64.whl", hash = "sha256:61405ea2d563407d316c63a7b5271ae5d274a2a9fbcd01b0aa5503635699fa1e"}, - {file = "SQLAlchemy-2.0.29-cp311-cp311-musllinux_1_1_x86_64.whl", hash = "sha256:de7202ffe4d4a8c1e3cde1c03e01c1a3772c92858837e8f3879b497158e4cb44"}, - {file = "SQLAlchemy-2.0.29-cp311-cp311-win32.whl", hash = "sha256:b5d7ed79df55a731749ce65ec20d666d82b185fa4898430b17cb90c892741520"}, - {file = "SQLAlchemy-2.0.29-cp311-cp311-win_amd64.whl", hash = "sha256:205f5a2b39d7c380cbc3b5dcc8f2762fb5bcb716838e2d26ccbc54330775b003"}, - {file = "SQLAlchemy-2.0.29-cp312-cp312-macosx_10_9_x86_64.whl", hash = "sha256:d96710d834a6fb31e21381c6d7b76ec729bd08c75a25a5184b1089141356171f"}, - {file = "SQLAlchemy-2.0.29-cp312-cp312-macosx_11_0_arm64.whl", hash = "sha256:52de4736404e53c5c6a91ef2698c01e52333988ebdc218f14c833237a0804f1b"}, - {file = "SQLAlchemy-2.0.29-cp312-cp312-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:5c7b02525ede2a164c5fa5014915ba3591730f2cc831f5be9ff3b7fd3e30958e"}, - {file = "SQLAlchemy-2.0.29-cp312-cp312-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:0dfefdb3e54cd15f5d56fd5ae32f1da2d95d78319c1f6dfb9bcd0eb15d603d5d"}, - {file = "SQLAlchemy-2.0.29-cp312-cp312-musllinux_1_1_aarch64.whl", hash = "sha256:a88913000da9205b13f6f195f0813b6ffd8a0c0c2bd58d499e00a30eb508870c"}, - {file = "SQLAlchemy-2.0.29-cp312-cp312-musllinux_1_1_x86_64.whl", hash = "sha256:fecd5089c4be1bcc37c35e9aa678938d2888845a134dd016de457b942cf5a758"}, - {file = "SQLAlchemy-2.0.29-cp312-cp312-win32.whl", hash = "sha256:8197d6f7a3d2b468861ebb4c9f998b9df9e358d6e1cf9c2a01061cb9b6cf4e41"}, - {file = "SQLAlchemy-2.0.29-cp312-cp312-win_amd64.whl", hash = "sha256:9b19836ccca0d321e237560e475fd99c3d8655d03da80c845c4da20dda31b6e1"}, - {file = "SQLAlchemy-2.0.29-cp37-cp37m-macosx_10_9_x86_64.whl", hash = "sha256:87a1d53a5382cdbbf4b7619f107cc862c1b0a4feb29000922db72e5a66a5ffc0"}, - {file = "SQLAlchemy-2.0.29-cp37-cp37m-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:2a0732dffe32333211801b28339d2a0babc1971bc90a983e3035e7b0d6f06b93"}, - {file = "SQLAlchemy-2.0.29-cp37-cp37m-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:90453597a753322d6aa770c5935887ab1fc49cc4c4fdd436901308383d698b4b"}, - {file = "SQLAlchemy-2.0.29-cp37-cp37m-musllinux_1_1_aarch64.whl", hash = "sha256:ea311d4ee9a8fa67f139c088ae9f905fcf0277d6cd75c310a21a88bf85e130f5"}, - {file = "SQLAlchemy-2.0.29-cp37-cp37m-musllinux_1_1_x86_64.whl", hash = "sha256:5f20cb0a63a3e0ec4e169aa8890e32b949c8145983afa13a708bc4b0a1f30e03"}, - {file = "SQLAlchemy-2.0.29-cp37-cp37m-win32.whl", hash = "sha256:e5bbe55e8552019c6463709b39634a5fc55e080d0827e2a3a11e18eb73f5cdbd"}, - {file = "SQLAlchemy-2.0.29-cp37-cp37m-win_amd64.whl", hash = "sha256:c2f9c762a2735600654c654bf48dad388b888f8ce387b095806480e6e4ff6907"}, - {file = "SQLAlchemy-2.0.29-cp38-cp38-macosx_10_9_x86_64.whl", hash = "sha256:7e614d7a25a43a9f54fcce4675c12761b248547f3d41b195e8010ca7297c369c"}, - {file = "SQLAlchemy-2.0.29-cp38-cp38-macosx_11_0_arm64.whl", hash = "sha256:471fcb39c6adf37f820350c28aac4a7df9d3940c6548b624a642852e727ea586"}, - {file = "SQLAlchemy-2.0.29-cp38-cp38-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:988569c8732f54ad3234cf9c561364221a9e943b78dc7a4aaf35ccc2265f1930"}, - {file = "SQLAlchemy-2.0.29-cp38-cp38-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:dddaae9b81c88083e6437de95c41e86823d150f4ee94bf24e158a4526cbead01"}, - {file = "SQLAlchemy-2.0.29-cp38-cp38-musllinux_1_1_aarch64.whl", hash = "sha256:334184d1ab8f4c87f9652b048af3f7abea1c809dfe526fb0435348a6fef3d380"}, - {file = "SQLAlchemy-2.0.29-cp38-cp38-musllinux_1_1_x86_64.whl", hash = "sha256:38b624e5cf02a69b113c8047cf7f66b5dfe4a2ca07ff8b8716da4f1b3ae81567"}, - {file = "SQLAlchemy-2.0.29-cp38-cp38-win32.whl", hash = "sha256:bab41acf151cd68bc2b466deae5deeb9e8ae9c50ad113444151ad965d5bf685b"}, - {file = "SQLAlchemy-2.0.29-cp38-cp38-win_amd64.whl", hash = "sha256:52c8011088305476691b8750c60e03b87910a123cfd9ad48576d6414b6ec2a1d"}, - {file = "SQLAlchemy-2.0.29-cp39-cp39-macosx_10_9_x86_64.whl", hash = "sha256:3071ad498896907a5ef756206b9dc750f8e57352113c19272bdfdc429c7bd7de"}, - {file = "SQLAlchemy-2.0.29-cp39-cp39-macosx_11_0_arm64.whl", hash = "sha256:dba622396a3170974f81bad49aacebd243455ec3cc70615aeaef9e9613b5bca5"}, - {file = "SQLAlchemy-2.0.29-cp39-cp39-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:7b184e3de58009cc0bf32e20f137f1ec75a32470f5fede06c58f6c355ed42a72"}, - {file = "SQLAlchemy-2.0.29-cp39-cp39-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:8c37f1050feb91f3d6c32f864d8e114ff5545a4a7afe56778d76a9aec62638ba"}, - {file = "SQLAlchemy-2.0.29-cp39-cp39-musllinux_1_1_aarch64.whl", hash = "sha256:bda7ce59b06d0f09afe22c56714c65c957b1068dee3d5e74d743edec7daba552"}, - {file = "SQLAlchemy-2.0.29-cp39-cp39-musllinux_1_1_x86_64.whl", hash = "sha256:25664e18bef6dc45015b08f99c63952a53a0a61f61f2e48a9e70cec27e55f699"}, - {file = "SQLAlchemy-2.0.29-cp39-cp39-win32.whl", hash = "sha256:77d29cb6c34b14af8a484e831ab530c0f7188f8efed1c6a833a2c674bf3c26ec"}, - {file = "SQLAlchemy-2.0.29-cp39-cp39-win_amd64.whl", hash = "sha256:04c487305ab035a9548f573763915189fc0fe0824d9ba28433196f8436f1449c"}, - {file = "SQLAlchemy-2.0.29-py3-none-any.whl", hash = "sha256:dc4ee2d4ee43251905f88637d5281a8d52e916a021384ec10758826f5cbae305"}, - {file = "SQLAlchemy-2.0.29.tar.gz", hash = "sha256:bd9566b8e58cabd700bc367b60e90d9349cd16f0984973f98a9a09f9c64e86f0"}, + {file = "SQLAlchemy-2.0.30-cp310-cp310-macosx_10_9_x86_64.whl", hash = "sha256:3b48154678e76445c7ded1896715ce05319f74b1e73cf82d4f8b59b46e9c0ddc"}, + {file = "SQLAlchemy-2.0.30-cp310-cp310-macosx_11_0_arm64.whl", hash = "sha256:2753743c2afd061bb95a61a51bbb6a1a11ac1c44292fad898f10c9839a7f75b2"}, + {file = "SQLAlchemy-2.0.30-cp310-cp310-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:a7bfc726d167f425d4c16269a9a10fe8630ff6d14b683d588044dcef2d0f6be7"}, + {file = "SQLAlchemy-2.0.30-cp310-cp310-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:c4f61ada6979223013d9ab83a3ed003ded6959eae37d0d685db2c147e9143797"}, + {file = "SQLAlchemy-2.0.30-cp310-cp310-musllinux_1_1_aarch64.whl", hash = "sha256:3a365eda439b7a00732638f11072907c1bc8e351c7665e7e5da91b169af794af"}, + {file = "SQLAlchemy-2.0.30-cp310-cp310-musllinux_1_1_x86_64.whl", hash = "sha256:bba002a9447b291548e8d66fd8c96a6a7ed4f2def0bb155f4f0a1309fd2735d5"}, + {file = "SQLAlchemy-2.0.30-cp310-cp310-win32.whl", hash = "sha256:0138c5c16be3600923fa2169532205d18891b28afa817cb49b50e08f62198bb8"}, + {file = "SQLAlchemy-2.0.30-cp310-cp310-win_amd64.whl", hash = "sha256:99650e9f4cf3ad0d409fed3eec4f071fadd032e9a5edc7270cd646a26446feeb"}, + {file = "SQLAlchemy-2.0.30-cp311-cp311-macosx_10_9_x86_64.whl", hash = "sha256:955991a09f0992c68a499791a753523f50f71a6885531568404fa0f231832aa0"}, + {file = "SQLAlchemy-2.0.30-cp311-cp311-macosx_11_0_arm64.whl", hash = "sha256:f69e4c756ee2686767eb80f94c0125c8b0a0b87ede03eacc5c8ae3b54b99dc46"}, + {file = "SQLAlchemy-2.0.30-cp311-cp311-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:69c9db1ce00e59e8dd09d7bae852a9add716efdc070a3e2068377e6ff0d6fdaa"}, + {file = "SQLAlchemy-2.0.30-cp311-cp311-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:a1429a4b0f709f19ff3b0cf13675b2b9bfa8a7e79990003207a011c0db880a13"}, + {file = "SQLAlchemy-2.0.30-cp311-cp311-musllinux_1_1_aarch64.whl", hash = "sha256:efedba7e13aa9a6c8407c48facfdfa108a5a4128e35f4c68f20c3407e4376aa9"}, + {file = "SQLAlchemy-2.0.30-cp311-cp311-musllinux_1_1_x86_64.whl", hash = "sha256:16863e2b132b761891d6c49f0a0f70030e0bcac4fd208117f6b7e053e68668d0"}, + {file = "SQLAlchemy-2.0.30-cp311-cp311-win32.whl", hash = "sha256:2ecabd9ccaa6e914e3dbb2aa46b76dede7eadc8cbf1b8083c94d936bcd5ffb49"}, + {file = "SQLAlchemy-2.0.30-cp311-cp311-win_amd64.whl", hash = "sha256:0b3f4c438e37d22b83e640f825ef0f37b95db9aa2d68203f2c9549375d0b2260"}, + {file = "SQLAlchemy-2.0.30-cp312-cp312-macosx_10_9_x86_64.whl", hash = "sha256:5a79d65395ac5e6b0c2890935bad892eabb911c4aa8e8015067ddb37eea3d56c"}, + {file = "SQLAlchemy-2.0.30-cp312-cp312-macosx_11_0_arm64.whl", hash = "sha256:9a5baf9267b752390252889f0c802ea13b52dfee5e369527da229189b8bd592e"}, + {file = "SQLAlchemy-2.0.30-cp312-cp312-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:3cb5a646930c5123f8461f6468901573f334c2c63c795b9af350063a736d0134"}, + {file = "SQLAlchemy-2.0.30-cp312-cp312-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:296230899df0b77dec4eb799bcea6fbe39a43707ce7bb166519c97b583cfcab3"}, + {file = "SQLAlchemy-2.0.30-cp312-cp312-musllinux_1_1_aarch64.whl", hash = "sha256:c62d401223f468eb4da32627bffc0c78ed516b03bb8a34a58be54d618b74d472"}, + {file = "SQLAlchemy-2.0.30-cp312-cp312-musllinux_1_1_x86_64.whl", hash = "sha256:3b69e934f0f2b677ec111b4d83f92dc1a3210a779f69bf905273192cf4ed433e"}, + {file = "SQLAlchemy-2.0.30-cp312-cp312-win32.whl", hash = "sha256:77d2edb1f54aff37e3318f611637171e8ec71472f1fdc7348b41dcb226f93d90"}, + {file = "SQLAlchemy-2.0.30-cp312-cp312-win_amd64.whl", hash = "sha256:b6c7ec2b1f4969fc19b65b7059ed00497e25f54069407a8701091beb69e591a5"}, + {file = "SQLAlchemy-2.0.30-cp37-cp37m-macosx_10_9_x86_64.whl", hash = "sha256:5a8e3b0a7e09e94be7510d1661339d6b52daf202ed2f5b1f9f48ea34ee6f2d57"}, + {file = "SQLAlchemy-2.0.30-cp37-cp37m-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:b60203c63e8f984df92035610c5fb76d941254cf5d19751faab7d33b21e5ddc0"}, + {file = "SQLAlchemy-2.0.30-cp37-cp37m-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:f1dc3eabd8c0232ee8387fbe03e0a62220a6f089e278b1f0aaf5e2d6210741ad"}, + {file = "SQLAlchemy-2.0.30-cp37-cp37m-musllinux_1_1_aarch64.whl", hash = "sha256:40ad017c672c00b9b663fcfcd5f0864a0a97828e2ee7ab0c140dc84058d194cf"}, + {file = "SQLAlchemy-2.0.30-cp37-cp37m-musllinux_1_1_x86_64.whl", hash = "sha256:e42203d8d20dc704604862977b1470a122e4892791fe3ed165f041e4bf447a1b"}, + {file = "SQLAlchemy-2.0.30-cp37-cp37m-win32.whl", hash = "sha256:2a4f4da89c74435f2bc61878cd08f3646b699e7d2eba97144030d1be44e27584"}, + {file = "SQLAlchemy-2.0.30-cp37-cp37m-win_amd64.whl", hash = "sha256:b6bf767d14b77f6a18b6982cbbf29d71bede087edae495d11ab358280f304d8e"}, + {file = "SQLAlchemy-2.0.30-cp38-cp38-macosx_10_9_x86_64.whl", hash = "sha256:bc0c53579650a891f9b83fa3cecd4e00218e071d0ba00c4890f5be0c34887ed3"}, + {file = "SQLAlchemy-2.0.30-cp38-cp38-macosx_11_0_arm64.whl", hash = "sha256:311710f9a2ee235f1403537b10c7687214bb1f2b9ebb52702c5aa4a77f0b3af7"}, + {file = "SQLAlchemy-2.0.30-cp38-cp38-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:408f8b0e2c04677e9c93f40eef3ab22f550fecb3011b187f66a096395ff3d9fd"}, + {file = "SQLAlchemy-2.0.30-cp38-cp38-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:37a4b4fb0dd4d2669070fb05b8b8824afd0af57587393015baee1cf9890242d9"}, + {file = "SQLAlchemy-2.0.30-cp38-cp38-musllinux_1_1_aarch64.whl", hash = "sha256:a943d297126c9230719c27fcbbeab57ecd5d15b0bd6bfd26e91bfcfe64220621"}, + {file = "SQLAlchemy-2.0.30-cp38-cp38-musllinux_1_1_x86_64.whl", hash = "sha256:0a089e218654e740a41388893e090d2e2c22c29028c9d1353feb38638820bbeb"}, + {file = "SQLAlchemy-2.0.30-cp38-cp38-win32.whl", hash = "sha256:fa561138a64f949f3e889eb9ab8c58e1504ab351d6cf55259dc4c248eaa19da6"}, + {file = "SQLAlchemy-2.0.30-cp38-cp38-win_amd64.whl", hash = "sha256:7d74336c65705b986d12a7e337ba27ab2b9d819993851b140efdf029248e818e"}, + {file = "SQLAlchemy-2.0.30-cp39-cp39-macosx_10_9_x86_64.whl", hash = "sha256:ae8c62fe2480dd61c532ccafdbce9b29dacc126fe8be0d9a927ca3e699b9491a"}, + {file = "SQLAlchemy-2.0.30-cp39-cp39-macosx_11_0_arm64.whl", hash = "sha256:2383146973a15435e4717f94c7509982770e3e54974c71f76500a0136f22810b"}, + {file = "SQLAlchemy-2.0.30-cp39-cp39-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:8409de825f2c3b62ab15788635ccaec0c881c3f12a8af2b12ae4910a0a9aeef6"}, + {file = "SQLAlchemy-2.0.30-cp39-cp39-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:0094c5dc698a5f78d3d1539853e8ecec02516b62b8223c970c86d44e7a80f6c7"}, + {file = "SQLAlchemy-2.0.30-cp39-cp39-musllinux_1_1_aarch64.whl", hash = "sha256:edc16a50f5e1b7a06a2dcc1f2205b0b961074c123ed17ebda726f376a5ab0953"}, + {file = "SQLAlchemy-2.0.30-cp39-cp39-musllinux_1_1_x86_64.whl", hash = "sha256:f7703c2010355dd28f53deb644a05fc30f796bd8598b43f0ba678878780b6e4c"}, + {file = "SQLAlchemy-2.0.30-cp39-cp39-win32.whl", hash = "sha256:1f9a727312ff6ad5248a4367358e2cf7e625e98b1028b1d7ab7b806b7d757513"}, + {file = "SQLAlchemy-2.0.30-cp39-cp39-win_amd64.whl", hash = "sha256:a0ef36b28534f2a5771191be6edb44cc2673c7b2edf6deac6562400288664221"}, + {file = "SQLAlchemy-2.0.30-py3-none-any.whl", hash = "sha256:7108d569d3990c71e26a42f60474b4c02c8586c4681af5fd67e51a044fdea86a"}, + {file = "SQLAlchemy-2.0.30.tar.gz", hash = "sha256:2b1708916730f4830bc69d6f49d37f7698b5bd7530aca7f04f785f8849e95255"}, ] [package.dependencies] @@ -8509,15 +8624,32 @@ files = [ {file = "striprtf-0.0.26.tar.gz", hash = "sha256:fdb2bba7ac440072d1c41eab50d8d74ae88f60a8b6575c6e2c7805dc462093aa"}, ] +[[package]] +name = "structlog" +version = "24.1.0" +description = "Structured Logging for Python" +optional = false +python-versions = ">=3.8" +files = [ + {file = "structlog-24.1.0-py3-none-any.whl", hash = "sha256:3f6efe7d25fab6e86f277713c218044669906537bb717c1807a09d46bca0714d"}, + {file = "structlog-24.1.0.tar.gz", hash = "sha256:41a09886e4d55df25bdcb9b5c9674bccfab723ff43e0a86a1b7b236be8e57b16"}, +] + +[package.extras] +dev = ["structlog[tests,typing]"] +docs = ["furo", "myst-parser", "sphinx", "sphinx-notfound-page", "sphinxcontrib-mermaid", "sphinxext-opengraph", "twisted"] +tests = ["freezegun (>=0.2.8)", "pretend", "pytest (>=6.0)", "pytest-asyncio (>=0.17)", "simplejson"] +typing = ["mypy (>=1.4)", "rich", "twisted"] + [[package]] name = "supabase" -version = "2.4.3" +version = "2.4.6" description = "Supabase client for Python." optional = false python-versions = "<4.0,>=3.8" files = [ - {file = "supabase-2.4.3-py3-none-any.whl", hash = "sha256:31b7cf5577471f473e690e6afb1b2f8ffe881a5a81f2c33a5fa7b07ba0fb9857"}, - {file = "supabase-2.4.3.tar.gz", hash = "sha256:ee9a5db8ecc3de20fe8351b0d3bc7667809095322915cea753f83db310494001"}, + {file = "supabase-2.4.6-py3-none-any.whl", hash = "sha256:0bfd6bb33c0e6d6891b55caaf689140f47588b01436fecc336d1d75090c70e8b"}, + {file = "supabase-2.4.6.tar.gz", hash = "sha256:442be0729f5fd9258326ba89859f60bfd8d9218283ed7fd8a62ae81e2f310474"}, ] [package.dependencies] @@ -8557,32 +8689,32 @@ files = [ mpmath = ">=0.19" [[package]] -name = "tabulate" -version = "0.9.0" -description = "Pretty-print tabular data" -optional = false -python-versions = ">=3.7" +name = "tbb" +version = "2021.12.0" +description = "Intel® oneAPI Threading Building Blocks (oneTBB)" +optional = true +python-versions = "*" files = [ - {file = "tabulate-0.9.0-py3-none-any.whl", hash = "sha256:024ca478df22e9340661486f85298cff5f6dcdba14f3813e8830015b9ed1948f"}, - {file = "tabulate-0.9.0.tar.gz", hash = "sha256:0095b12bf5966de529c0feb1fa08671671b3368eec77d7ef7ab114be2c068b3c"}, + {file = "tbb-2021.12.0-py2.py3-none-manylinux1_i686.whl", hash = "sha256:f2cc9a7f8ababaa506cbff796ce97c3bf91062ba521e15054394f773375d81d8"}, + {file = "tbb-2021.12.0-py2.py3-none-manylinux1_x86_64.whl", hash = "sha256:a925e9a7c77d3a46ae31c34b0bb7f801c4118e857d137b68f68a8e458fcf2bd7"}, + {file = "tbb-2021.12.0-py3-none-win32.whl", hash = "sha256:b1725b30c174048edc8be70bd43bb95473f396ce895d91151a474d0fa9f450a8"}, + {file = "tbb-2021.12.0-py3-none-win_amd64.whl", hash = "sha256:fc2772d850229f2f3df85f1109c4844c495a2db7433d38200959ee9265b34789"}, ] -[package.extras] -widechars = ["wcwidth"] - [[package]] name = "tenacity" -version = "8.2.3" +version = "8.3.0" description = "Retry code until it succeeds" optional = false -python-versions = ">=3.7" +python-versions = ">=3.8" files = [ - {file = "tenacity-8.2.3-py3-none-any.whl", hash = "sha256:ce510e327a630c9e1beaf17d42e6ffacc88185044ad85cf74c0a8887c6a0f88c"}, - {file = "tenacity-8.2.3.tar.gz", hash = "sha256:5398ef0d78e63f40007c1fb4c0bff96e1911394d2fa8d194f77619c05ff6cc8a"}, + {file = "tenacity-8.3.0-py3-none-any.whl", hash = "sha256:3649f6443dbc0d9b01b9d8020a9c4ec7a1ff5f6f3c6c8a036ef371f573fe9185"}, + {file = "tenacity-8.3.0.tar.gz", hash = "sha256:953d4e6ad24357bceffbc9707bc74349aca9d245f68eb65419cf0c249a1949a2"}, ] [package.extras] -doc = ["reno", "sphinx", "tornado (>=4.5)"] +doc = ["reno", "sphinx"] +test = ["pytest", "tornado (>=4.5)", "typeguard"] [[package]] name = "termcolor" @@ -8600,58 +8732,58 @@ tests = ["pytest", "pytest-cov"] [[package]] name = "threadpoolctl" -version = "3.4.0" +version = "3.5.0" description = "threadpoolctl" optional = true python-versions = ">=3.8" files = [ - {file = "threadpoolctl-3.4.0-py3-none-any.whl", hash = "sha256:8f4c689a65b23e5ed825c8436a92b818aac005e0f3715f6a1664d7c7ee29d262"}, - {file = "threadpoolctl-3.4.0.tar.gz", hash = "sha256:f11b491a03661d6dd7ef692dd422ab34185d982466c49c8f98c8f716b5c93196"}, + {file = "threadpoolctl-3.5.0-py3-none-any.whl", hash = "sha256:56c1e26c150397e58c4926da8eeee87533b1e32bef131bd4bf6a2f45f3185467"}, + {file = "threadpoolctl-3.5.0.tar.gz", hash = "sha256:082433502dd922bf738de0d8bcc4fdcbf0979ff44c42bd40f5af8a282f6fa107"}, ] [[package]] name = "tiktoken" -version = "0.6.0" +version = "0.7.0" description = "tiktoken is a fast BPE tokeniser for use with OpenAI's models" optional = false python-versions = ">=3.8" files = [ - {file = "tiktoken-0.6.0-cp310-cp310-macosx_10_9_x86_64.whl", hash = "sha256:277de84ccd8fa12730a6b4067456e5cf72fef6300bea61d506c09e45658d41ac"}, - {file = "tiktoken-0.6.0-cp310-cp310-macosx_11_0_arm64.whl", hash = "sha256:9c44433f658064463650d61387623735641dcc4b6c999ca30bc0f8ba3fccaf5c"}, - {file = "tiktoken-0.6.0-cp310-cp310-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:afb9a2a866ae6eef1995ab656744287a5ac95acc7e0491c33fad54d053288ad3"}, - {file = "tiktoken-0.6.0-cp310-cp310-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:c62c05b3109fefca26fedb2820452a050074ad8e5ad9803f4652977778177d9f"}, - {file = "tiktoken-0.6.0-cp310-cp310-musllinux_1_1_aarch64.whl", hash = "sha256:0ef917fad0bccda07bfbad835525bbed5f3ab97a8a3e66526e48cdc3e7beacf7"}, - {file = "tiktoken-0.6.0-cp310-cp310-musllinux_1_1_x86_64.whl", hash = "sha256:e095131ab6092d0769a2fda85aa260c7c383072daec599ba9d8b149d2a3f4d8b"}, - {file = "tiktoken-0.6.0-cp310-cp310-win_amd64.whl", hash = "sha256:05b344c61779f815038292a19a0c6eb7098b63c8f865ff205abb9ea1b656030e"}, - {file = "tiktoken-0.6.0-cp311-cp311-macosx_10_9_x86_64.whl", hash = "sha256:cefb9870fb55dca9e450e54dbf61f904aab9180ff6fe568b61f4db9564e78871"}, - {file = "tiktoken-0.6.0-cp311-cp311-macosx_11_0_arm64.whl", hash = "sha256:702950d33d8cabc039845674107d2e6dcabbbb0990ef350f640661368df481bb"}, - {file = "tiktoken-0.6.0-cp311-cp311-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:e8d49d076058f23254f2aff9af603863c5c5f9ab095bc896bceed04f8f0b013a"}, - {file = "tiktoken-0.6.0-cp311-cp311-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:430bc4e650a2d23a789dc2cdca3b9e5e7eb3cd3935168d97d43518cbb1f9a911"}, - {file = "tiktoken-0.6.0-cp311-cp311-musllinux_1_1_aarch64.whl", hash = "sha256:293cb8669757301a3019a12d6770bd55bec38a4d3ee9978ddbe599d68976aca7"}, - {file = "tiktoken-0.6.0-cp311-cp311-musllinux_1_1_x86_64.whl", hash = "sha256:7bd1a288b7903aadc054b0e16ea78e3171f70b670e7372432298c686ebf9dd47"}, - {file = "tiktoken-0.6.0-cp311-cp311-win_amd64.whl", hash = "sha256:ac76e000183e3b749634968a45c7169b351e99936ef46f0d2353cd0d46c3118d"}, - {file = "tiktoken-0.6.0-cp312-cp312-macosx_10_9_x86_64.whl", hash = "sha256:17cc8a4a3245ab7d935c83a2db6bb71619099d7284b884f4b2aea4c74f2f83e3"}, - {file = "tiktoken-0.6.0-cp312-cp312-macosx_11_0_arm64.whl", hash = "sha256:284aebcccffe1bba0d6571651317df6a5b376ff6cfed5aeb800c55df44c78177"}, - {file = "tiktoken-0.6.0-cp312-cp312-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:0c1a3a5d33846f8cd9dd3b7897c1d45722f48625a587f8e6f3d3e85080559be8"}, - {file = "tiktoken-0.6.0-cp312-cp312-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:6318b2bb2337f38ee954fd5efa82632c6e5ced1d52a671370fa4b2eff1355e91"}, - {file = "tiktoken-0.6.0-cp312-cp312-musllinux_1_1_aarch64.whl", hash = "sha256:1f5f0f2ed67ba16373f9a6013b68da298096b27cd4e1cf276d2d3868b5c7efd1"}, - {file = "tiktoken-0.6.0-cp312-cp312-musllinux_1_1_x86_64.whl", hash = "sha256:75af4c0b16609c2ad02581f3cdcd1fb698c7565091370bf6c0cf8624ffaba6dc"}, - {file = "tiktoken-0.6.0-cp312-cp312-win_amd64.whl", hash = "sha256:45577faf9a9d383b8fd683e313cf6df88b6076c034f0a16da243bb1c139340c3"}, - {file = "tiktoken-0.6.0-cp38-cp38-macosx_10_9_x86_64.whl", hash = "sha256:7c1492ab90c21ca4d11cef3a236ee31a3e279bb21b3fc5b0e2210588c4209e68"}, - {file = "tiktoken-0.6.0-cp38-cp38-macosx_11_0_arm64.whl", hash = "sha256:e2b380c5b7751272015400b26144a2bab4066ebb8daae9c3cd2a92c3b508fe5a"}, - {file = "tiktoken-0.6.0-cp38-cp38-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:c9f497598b9f58c99cbc0eb764b4a92272c14d5203fc713dd650b896a03a50ad"}, - {file = "tiktoken-0.6.0-cp38-cp38-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:e65e8bd6f3f279d80f1e1fbd5f588f036b9a5fa27690b7f0cc07021f1dfa0839"}, - {file = "tiktoken-0.6.0-cp38-cp38-musllinux_1_1_aarch64.whl", hash = "sha256:5f1495450a54e564d236769d25bfefbf77727e232d7a8a378f97acddee08c1ae"}, - {file = "tiktoken-0.6.0-cp38-cp38-musllinux_1_1_x86_64.whl", hash = "sha256:6c4e4857d99f6fb4670e928250835b21b68c59250520a1941618b5b4194e20c3"}, - {file = "tiktoken-0.6.0-cp38-cp38-win_amd64.whl", hash = "sha256:168d718f07a39b013032741867e789971346df8e89983fe3c0ef3fbd5a0b1cb9"}, - {file = "tiktoken-0.6.0-cp39-cp39-macosx_10_9_x86_64.whl", hash = "sha256:47fdcfe11bd55376785a6aea8ad1db967db7f66ea81aed5c43fad497521819a4"}, - {file = "tiktoken-0.6.0-cp39-cp39-macosx_11_0_arm64.whl", hash = "sha256:fb7d2ccbf1a7784810aff6b80b4012fb42c6fc37eaa68cb3b553801a5cc2d1fc"}, - {file = "tiktoken-0.6.0-cp39-cp39-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:1ccb7a111ee76af5d876a729a347f8747d5ad548e1487eeea90eaf58894b3138"}, - {file = "tiktoken-0.6.0-cp39-cp39-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:b2048e1086b48e3c8c6e2ceeac866561374cd57a84622fa49a6b245ffecb7744"}, - {file = "tiktoken-0.6.0-cp39-cp39-musllinux_1_1_aarch64.whl", hash = "sha256:07f229a5eb250b6403a61200199cecf0aac4aa23c3ecc1c11c1ca002cbb8f159"}, - {file = "tiktoken-0.6.0-cp39-cp39-musllinux_1_1_x86_64.whl", hash = "sha256:432aa3be8436177b0db5a2b3e7cc28fd6c693f783b2f8722539ba16a867d0c6a"}, - {file = "tiktoken-0.6.0-cp39-cp39-win_amd64.whl", hash = "sha256:8bfe8a19c8b5c40d121ee7938cd9c6a278e5b97dc035fd61714b4f0399d2f7a1"}, - {file = "tiktoken-0.6.0.tar.gz", hash = "sha256:ace62a4ede83c75b0374a2ddfa4b76903cf483e9cb06247f566be3bf14e6beed"}, + {file = "tiktoken-0.7.0-cp310-cp310-macosx_10_9_x86_64.whl", hash = "sha256:485f3cc6aba7c6b6ce388ba634fbba656d9ee27f766216f45146beb4ac18b25f"}, + {file = "tiktoken-0.7.0-cp310-cp310-macosx_11_0_arm64.whl", hash = "sha256:e54be9a2cd2f6d6ffa3517b064983fb695c9a9d8aa7d574d1ef3c3f931a99225"}, + {file = "tiktoken-0.7.0-cp310-cp310-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:79383a6e2c654c6040e5f8506f3750db9ddd71b550c724e673203b4f6b4b4590"}, + {file = "tiktoken-0.7.0-cp310-cp310-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:5d4511c52caacf3c4981d1ae2df85908bd31853f33d30b345c8b6830763f769c"}, + {file = "tiktoken-0.7.0-cp310-cp310-musllinux_1_2_aarch64.whl", hash = "sha256:13c94efacdd3de9aff824a788353aa5749c0faee1fbe3816df365ea450b82311"}, + {file = "tiktoken-0.7.0-cp310-cp310-musllinux_1_2_x86_64.whl", hash = "sha256:8e58c7eb29d2ab35a7a8929cbeea60216a4ccdf42efa8974d8e176d50c9a3df5"}, + {file = "tiktoken-0.7.0-cp310-cp310-win_amd64.whl", hash = "sha256:21a20c3bd1dd3e55b91c1331bf25f4af522c525e771691adbc9a69336fa7f702"}, + {file = "tiktoken-0.7.0-cp311-cp311-macosx_10_9_x86_64.whl", hash = "sha256:10c7674f81e6e350fcbed7c09a65bca9356eaab27fb2dac65a1e440f2bcfe30f"}, + {file = "tiktoken-0.7.0-cp311-cp311-macosx_11_0_arm64.whl", hash = "sha256:084cec29713bc9d4189a937f8a35dbdfa785bd1235a34c1124fe2323821ee93f"}, + {file = "tiktoken-0.7.0-cp311-cp311-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:811229fde1652fedcca7c6dfe76724d0908775b353556d8a71ed74d866f73f7b"}, + {file = "tiktoken-0.7.0-cp311-cp311-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:86b6e7dc2e7ad1b3757e8a24597415bafcfb454cebf9a33a01f2e6ba2e663992"}, + {file = "tiktoken-0.7.0-cp311-cp311-musllinux_1_2_aarch64.whl", hash = "sha256:1063c5748be36344c7e18c7913c53e2cca116764c2080177e57d62c7ad4576d1"}, + {file = "tiktoken-0.7.0-cp311-cp311-musllinux_1_2_x86_64.whl", hash = "sha256:20295d21419bfcca092644f7e2f2138ff947a6eb8cfc732c09cc7d76988d4a89"}, + {file = "tiktoken-0.7.0-cp311-cp311-win_amd64.whl", hash = "sha256:959d993749b083acc57a317cbc643fb85c014d055b2119b739487288f4e5d1cb"}, + {file = "tiktoken-0.7.0-cp312-cp312-macosx_10_9_x86_64.whl", hash = "sha256:71c55d066388c55a9c00f61d2c456a6086673ab7dec22dd739c23f77195b1908"}, + {file = "tiktoken-0.7.0-cp312-cp312-macosx_11_0_arm64.whl", hash = "sha256:09ed925bccaa8043e34c519fbb2f99110bd07c6fd67714793c21ac298e449410"}, + {file = "tiktoken-0.7.0-cp312-cp312-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:03c6c40ff1db0f48a7b4d2dafeae73a5607aacb472fa11f125e7baf9dce73704"}, + {file = "tiktoken-0.7.0-cp312-cp312-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:d20b5c6af30e621b4aca094ee61777a44118f52d886dbe4f02b70dfe05c15350"}, + {file = "tiktoken-0.7.0-cp312-cp312-musllinux_1_2_aarch64.whl", hash = "sha256:d427614c3e074004efa2f2411e16c826f9df427d3c70a54725cae860f09e4bf4"}, + {file = "tiktoken-0.7.0-cp312-cp312-musllinux_1_2_x86_64.whl", hash = "sha256:8c46d7af7b8c6987fac9b9f61041b452afe92eb087d29c9ce54951280f899a97"}, + {file = "tiktoken-0.7.0-cp312-cp312-win_amd64.whl", hash = "sha256:0bc603c30b9e371e7c4c7935aba02af5994a909fc3c0fe66e7004070858d3f8f"}, + {file = "tiktoken-0.7.0-cp38-cp38-macosx_10_9_x86_64.whl", hash = "sha256:2398fecd38c921bcd68418675a6d155fad5f5e14c2e92fcf5fe566fa5485a858"}, + {file = "tiktoken-0.7.0-cp38-cp38-macosx_11_0_arm64.whl", hash = "sha256:8f5f6afb52fb8a7ea1c811e435e4188f2bef81b5e0f7a8635cc79b0eef0193d6"}, + {file = "tiktoken-0.7.0-cp38-cp38-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:861f9ee616766d736be4147abac500732b505bf7013cfaf019b85892637f235e"}, + {file = "tiktoken-0.7.0-cp38-cp38-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:54031f95c6939f6b78122c0aa03a93273a96365103793a22e1793ee86da31685"}, + {file = "tiktoken-0.7.0-cp38-cp38-musllinux_1_2_aarch64.whl", hash = "sha256:fffdcb319b614cf14f04d02a52e26b1d1ae14a570f90e9b55461a72672f7b13d"}, + {file = "tiktoken-0.7.0-cp38-cp38-musllinux_1_2_x86_64.whl", hash = "sha256:c72baaeaefa03ff9ba9688624143c858d1f6b755bb85d456d59e529e17234769"}, + {file = "tiktoken-0.7.0-cp38-cp38-win_amd64.whl", hash = "sha256:131b8aeb043a8f112aad9f46011dced25d62629091e51d9dc1adbf4a1cc6aa98"}, + {file = "tiktoken-0.7.0-cp39-cp39-macosx_10_9_x86_64.whl", hash = "sha256:cabc6dc77460df44ec5b879e68692c63551ae4fae7460dd4ff17181df75f1db7"}, + {file = "tiktoken-0.7.0-cp39-cp39-macosx_11_0_arm64.whl", hash = "sha256:8d57f29171255f74c0aeacd0651e29aa47dff6f070cb9f35ebc14c82278f3b25"}, + {file = "tiktoken-0.7.0-cp39-cp39-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:2ee92776fdbb3efa02a83f968c19d4997a55c8e9ce7be821ceee04a1d1ee149c"}, + {file = "tiktoken-0.7.0-cp39-cp39-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:e215292e99cb41fbc96988ef62ea63bb0ce1e15f2c147a61acc319f8b4cbe5bf"}, + {file = "tiktoken-0.7.0-cp39-cp39-musllinux_1_2_aarch64.whl", hash = "sha256:8a81bac94769cab437dd3ab0b8a4bc4e0f9cf6835bcaa88de71f39af1791727a"}, + {file = "tiktoken-0.7.0-cp39-cp39-musllinux_1_2_x86_64.whl", hash = "sha256:d6d73ea93e91d5ca771256dfc9d1d29f5a554b83821a1dc0891987636e0ae226"}, + {file = "tiktoken-0.7.0-cp39-cp39-win_amd64.whl", hash = "sha256:2bcb28ddf79ffa424f171dfeef9a4daff61a94c631ca6813f43967cb263b83b9"}, + {file = "tiktoken-0.7.0.tar.gz", hash = "sha256:1077266e949c24e0291f6c350433c6f0971365ece2b173a23bc3b9f9defef6b6"}, ] [package.dependencies] @@ -8663,130 +8795,120 @@ blobfile = ["blobfile (>=2)"] [[package]] name = "tokenizers" -version = "0.15.2" +version = "0.19.1" description = "" optional = false python-versions = ">=3.7" files = [ - {file = "tokenizers-0.15.2-cp310-cp310-macosx_10_12_x86_64.whl", hash = "sha256:52f6130c9cbf70544287575a985bf44ae1bda2da7e8c24e97716080593638012"}, - {file = "tokenizers-0.15.2-cp310-cp310-macosx_11_0_arm64.whl", hash = "sha256:054c1cc9c6d68f7ffa4e810b3d5131e0ba511b6e4be34157aa08ee54c2f8d9ee"}, - {file = "tokenizers-0.15.2-cp310-cp310-manylinux_2_12_i686.manylinux2010_i686.whl", hash = "sha256:a9b9b070fdad06e347563b88c278995735292ded1132f8657084989a4c84a6d5"}, - {file = "tokenizers-0.15.2-cp310-cp310-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:ea621a7eef4b70e1f7a4e84dd989ae3f0eeb50fc8690254eacc08acb623e82f1"}, - {file = "tokenizers-0.15.2-cp310-cp310-manylinux_2_17_armv7l.manylinux2014_armv7l.whl", hash = "sha256:cf7fd9a5141634fa3aa8d6b7be362e6ae1b4cda60da81388fa533e0b552c98fd"}, - {file = "tokenizers-0.15.2-cp310-cp310-manylinux_2_17_ppc64le.manylinux2014_ppc64le.whl", hash = "sha256:44f2a832cd0825295f7179eaf173381dc45230f9227ec4b44378322d900447c9"}, - {file = "tokenizers-0.15.2-cp310-cp310-manylinux_2_17_s390x.manylinux2014_s390x.whl", hash = "sha256:8b9ec69247a23747669ec4b0ca10f8e3dfb3545d550258129bd62291aabe8605"}, - {file = "tokenizers-0.15.2-cp310-cp310-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:40b6a4c78da863ff26dbd5ad9a8ecc33d8a8d97b535172601cf00aee9d7ce9ce"}, - {file = "tokenizers-0.15.2-cp310-cp310-musllinux_1_1_aarch64.whl", hash = "sha256:5ab2a4d21dcf76af60e05af8063138849eb1d6553a0d059f6534357bce8ba364"}, - {file = "tokenizers-0.15.2-cp310-cp310-musllinux_1_1_x86_64.whl", hash = "sha256:a47acfac7e511f6bbfcf2d3fb8c26979c780a91e06fb5b9a43831b2c0153d024"}, - {file = "tokenizers-0.15.2-cp310-none-win32.whl", hash = "sha256:064ff87bb6acdbd693666de9a4b692add41308a2c0ec0770d6385737117215f2"}, - {file = "tokenizers-0.15.2-cp310-none-win_amd64.whl", hash = "sha256:3b919afe4df7eb6ac7cafd2bd14fb507d3f408db7a68c43117f579c984a73843"}, - {file = "tokenizers-0.15.2-cp311-cp311-macosx_10_12_x86_64.whl", hash = "sha256:89cd1cb93e4b12ff39bb2d626ad77e35209de9309a71e4d3d4672667b4b256e7"}, - {file = "tokenizers-0.15.2-cp311-cp311-macosx_11_0_arm64.whl", hash = "sha256:cfed5c64e5be23d7ee0f0e98081a25c2a46b0b77ce99a4f0605b1ec43dd481fa"}, - {file = "tokenizers-0.15.2-cp311-cp311-manylinux_2_12_i686.manylinux2010_i686.whl", hash = "sha256:a907d76dcfda37023ba203ab4ceeb21bc5683436ebefbd895a0841fd52f6f6f2"}, - {file = "tokenizers-0.15.2-cp311-cp311-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:20ea60479de6fc7b8ae756b4b097572372d7e4032e2521c1bbf3d90c90a99ff0"}, - {file = "tokenizers-0.15.2-cp311-cp311-manylinux_2_17_armv7l.manylinux2014_armv7l.whl", hash = "sha256:48e2b9335be2bc0171df9281385c2ed06a15f5cf121c44094338306ab7b33f2c"}, - {file = "tokenizers-0.15.2-cp311-cp311-manylinux_2_17_ppc64le.manylinux2014_ppc64le.whl", hash = "sha256:112a1dd436d2cc06e6ffdc0b06d55ac019a35a63afd26475205cb4b1bf0bfbff"}, - {file = "tokenizers-0.15.2-cp311-cp311-manylinux_2_17_s390x.manylinux2014_s390x.whl", hash = "sha256:4620cca5c2817177ee8706f860364cc3a8845bc1e291aaf661fb899e5d1c45b0"}, - {file = "tokenizers-0.15.2-cp311-cp311-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:ccd73a82751c523b3fc31ff8194702e4af4db21dc20e55b30ecc2079c5d43cb7"}, - {file = "tokenizers-0.15.2-cp311-cp311-musllinux_1_1_aarch64.whl", hash = "sha256:107089f135b4ae7817affe6264f8c7a5c5b4fd9a90f9439ed495f54fcea56fb4"}, - {file = "tokenizers-0.15.2-cp311-cp311-musllinux_1_1_x86_64.whl", hash = "sha256:0ff110ecc57b7aa4a594396525a3451ad70988e517237fe91c540997c4e50e29"}, - {file = "tokenizers-0.15.2-cp311-none-win32.whl", hash = "sha256:6d76f00f5c32da36c61f41c58346a4fa7f0a61be02f4301fd30ad59834977cc3"}, - {file = "tokenizers-0.15.2-cp311-none-win_amd64.whl", hash = "sha256:cc90102ed17271cf0a1262babe5939e0134b3890345d11a19c3145184b706055"}, - {file = "tokenizers-0.15.2-cp312-cp312-macosx_10_12_x86_64.whl", hash = "sha256:f86593c18d2e6248e72fb91c77d413a815153b8ea4e31f7cd443bdf28e467670"}, - {file = "tokenizers-0.15.2-cp312-cp312-macosx_11_0_arm64.whl", hash = "sha256:0774bccc6608eca23eb9d620196687c8b2360624619623cf4ba9dc9bd53e8b51"}, - {file = "tokenizers-0.15.2-cp312-cp312-manylinux_2_12_i686.manylinux2010_i686.whl", hash = "sha256:d0222c5b7c9b26c0b4822a82f6a7011de0a9d3060e1da176f66274b70f846b98"}, - {file = "tokenizers-0.15.2-cp312-cp312-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:3835738be1de66624fff2f4f6f6684775da4e9c00bde053be7564cbf3545cc66"}, - {file = "tokenizers-0.15.2-cp312-cp312-manylinux_2_17_armv7l.manylinux2014_armv7l.whl", hash = "sha256:0143e7d9dcd811855c1ce1ab9bf5d96d29bf5e528fd6c7824d0465741e8c10fd"}, - {file = "tokenizers-0.15.2-cp312-cp312-manylinux_2_17_ppc64le.manylinux2014_ppc64le.whl", hash = "sha256:db35825f6d54215f6b6009a7ff3eedee0848c99a6271c870d2826fbbedf31a38"}, - {file = "tokenizers-0.15.2-cp312-cp312-manylinux_2_17_s390x.manylinux2014_s390x.whl", hash = "sha256:3f5e64b0389a2be47091d8cc53c87859783b837ea1a06edd9d8e04004df55a5c"}, - {file = "tokenizers-0.15.2-cp312-cp312-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:9e0480c452217edd35eca56fafe2029fb4d368b7c0475f8dfa3c5c9c400a7456"}, - {file = "tokenizers-0.15.2-cp312-cp312-musllinux_1_1_aarch64.whl", hash = "sha256:a33ab881c8fe70474980577e033d0bc9a27b7ab8272896e500708b212995d834"}, - {file = "tokenizers-0.15.2-cp312-cp312-musllinux_1_1_x86_64.whl", hash = "sha256:a308a607ca9de2c64c1b9ba79ec9a403969715a1b8ba5f998a676826f1a7039d"}, - {file = "tokenizers-0.15.2-cp312-none-win32.whl", hash = "sha256:b8fcfa81bcb9447df582c5bc96a031e6df4da2a774b8080d4f02c0c16b42be0b"}, - {file = "tokenizers-0.15.2-cp312-none-win_amd64.whl", hash = "sha256:38d7ab43c6825abfc0b661d95f39c7f8af2449364f01d331f3b51c94dcff7221"}, - {file = "tokenizers-0.15.2-cp313-cp313-macosx_10_12_x86_64.whl", hash = "sha256:38bfb0204ff3246ca4d5e726e8cc8403bfc931090151e6eede54d0e0cf162ef0"}, - {file = "tokenizers-0.15.2-cp313-cp313-macosx_11_0_arm64.whl", hash = "sha256:9c861d35e8286a53e06e9e28d030b5a05bcbf5ac9d7229e561e53c352a85b1fc"}, - {file = "tokenizers-0.15.2-cp313-cp313-manylinux_2_12_i686.manylinux2010_i686.whl", hash = "sha256:936bf3842db5b2048eaa53dade907b1160f318e7c90c74bfab86f1e47720bdd6"}, - {file = "tokenizers-0.15.2-cp313-cp313-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:620beacc3373277700d0e27718aa8b25f7b383eb8001fba94ee00aeea1459d89"}, - {file = "tokenizers-0.15.2-cp313-cp313-manylinux_2_17_armv7l.manylinux2014_armv7l.whl", hash = "sha256:2735ecbbf37e52db4ea970e539fd2d450d213517b77745114f92867f3fc246eb"}, - {file = "tokenizers-0.15.2-cp313-cp313-manylinux_2_17_ppc64le.manylinux2014_ppc64le.whl", hash = "sha256:473c83c5e2359bb81b0b6fde870b41b2764fcdd36d997485e07e72cc3a62264a"}, - {file = "tokenizers-0.15.2-cp313-cp313-manylinux_2_17_s390x.manylinux2014_s390x.whl", hash = "sha256:968fa1fb3c27398b28a4eca1cbd1e19355c4d3a6007f7398d48826bbe3a0f728"}, - {file = "tokenizers-0.15.2-cp313-cp313-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:865c60ae6eaebdde7da66191ee9b7db52e542ed8ee9d2c653b6d190a9351b980"}, - {file = "tokenizers-0.15.2-cp313-cp313-musllinux_1_1_aarch64.whl", hash = "sha256:7c0d8b52664ab2d4a8d6686eb5effc68b78608a9008f086a122a7b2996befbab"}, - {file = "tokenizers-0.15.2-cp313-cp313-musllinux_1_1_x86_64.whl", hash = "sha256:f33dfbdec3784093a9aebb3680d1f91336c56d86cc70ddf88708251da1fe9064"}, - {file = "tokenizers-0.15.2-cp37-cp37m-macosx_10_12_x86_64.whl", hash = "sha256:d44ba80988ff9424e33e0a49445072ac7029d8c0e1601ad25a0ca5f41ed0c1d6"}, - {file = "tokenizers-0.15.2-cp37-cp37m-macosx_11_0_arm64.whl", hash = "sha256:dce74266919b892f82b1b86025a613956ea0ea62a4843d4c4237be2c5498ed3a"}, - {file = "tokenizers-0.15.2-cp37-cp37m-manylinux_2_12_i686.manylinux2010_i686.whl", hash = "sha256:0ef06b9707baeb98b316577acb04f4852239d856b93e9ec3a299622f6084e4be"}, - {file = "tokenizers-0.15.2-cp37-cp37m-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:c73e2e74bbb07910da0d37c326869f34113137b23eadad3fc00856e6b3d9930c"}, - {file = "tokenizers-0.15.2-cp37-cp37m-manylinux_2_17_armv7l.manylinux2014_armv7l.whl", hash = "sha256:4eeb12daf02a59e29f578a865f55d87cd103ce62bd8a3a5874f8fdeaa82e336b"}, - {file = "tokenizers-0.15.2-cp37-cp37m-manylinux_2_17_ppc64le.manylinux2014_ppc64le.whl", hash = "sha256:9ba9f6895af58487ca4f54e8a664a322f16c26bbb442effd01087eba391a719e"}, - {file = "tokenizers-0.15.2-cp37-cp37m-manylinux_2_17_s390x.manylinux2014_s390x.whl", hash = "sha256:ccec77aa7150e38eec6878a493bf8c263ff1fa8a62404e16c6203c64c1f16a26"}, - {file = "tokenizers-0.15.2-cp37-cp37m-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:f3f40604f5042ff210ba82743dda2b6aa3e55aa12df4e9f2378ee01a17e2855e"}, - {file = "tokenizers-0.15.2-cp37-cp37m-musllinux_1_1_aarch64.whl", hash = "sha256:5645938a42d78c4885086767c70923abad047163d809c16da75d6b290cb30bbe"}, - {file = "tokenizers-0.15.2-cp37-cp37m-musllinux_1_1_x86_64.whl", hash = "sha256:05a77cbfebe28a61ab5c3891f9939cc24798b63fa236d84e5f29f3a85a200c00"}, - {file = "tokenizers-0.15.2-cp37-none-win32.whl", hash = "sha256:361abdc068e8afe9c5b818769a48624687fb6aaed49636ee39bec4e95e1a215b"}, - {file = "tokenizers-0.15.2-cp37-none-win_amd64.whl", hash = "sha256:7ef789f83eb0f9baeb4d09a86cd639c0a5518528f9992f38b28e819df397eb06"}, - {file = "tokenizers-0.15.2-cp38-cp38-macosx_10_12_x86_64.whl", hash = "sha256:4fe1f74a902bee74a3b25aff180fbfbf4f8b444ab37c4d496af7afd13a784ed2"}, - {file = "tokenizers-0.15.2-cp38-cp38-macosx_11_0_arm64.whl", hash = "sha256:4c4b89038a684f40a6b15d6b09f49650ac64d951ad0f2a3ea9169687bbf2a8ba"}, - {file = "tokenizers-0.15.2-cp38-cp38-manylinux_2_12_i686.manylinux2010_i686.whl", hash = "sha256:d05a1b06f986d41aed5f2de464c003004b2df8aaf66f2b7628254bcbfb72a438"}, - {file = "tokenizers-0.15.2-cp38-cp38-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:508711a108684111ec8af89d3a9e9e08755247eda27d0ba5e3c50e9da1600f6d"}, - {file = "tokenizers-0.15.2-cp38-cp38-manylinux_2_17_armv7l.manylinux2014_armv7l.whl", hash = "sha256:daa348f02d15160cb35439098ac96e3a53bacf35885072611cd9e5be7d333daa"}, - {file = "tokenizers-0.15.2-cp38-cp38-manylinux_2_17_ppc64le.manylinux2014_ppc64le.whl", hash = "sha256:494fdbe5932d3416de2a85fc2470b797e6f3226c12845cadf054dd906afd0442"}, - {file = "tokenizers-0.15.2-cp38-cp38-manylinux_2_17_s390x.manylinux2014_s390x.whl", hash = "sha256:c2d60f5246f4da9373f75ff18d64c69cbf60c3bca597290cea01059c336d2470"}, - {file = "tokenizers-0.15.2-cp38-cp38-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:93268e788825f52de4c7bdcb6ebc1fcd4a5442c02e730faa9b6b08f23ead0e24"}, - {file = "tokenizers-0.15.2-cp38-cp38-musllinux_1_1_aarch64.whl", hash = "sha256:6fc7083ab404019fc9acafe78662c192673c1e696bd598d16dc005bd663a5cf9"}, - {file = "tokenizers-0.15.2-cp38-cp38-musllinux_1_1_x86_64.whl", hash = "sha256:41e39b41e5531d6b2122a77532dbea60e171ef87a3820b5a3888daa847df4153"}, - {file = "tokenizers-0.15.2-cp38-none-win32.whl", hash = "sha256:06cd0487b1cbfabefb2cc52fbd6b1f8d4c37799bd6c6e1641281adaa6b2504a7"}, - {file = "tokenizers-0.15.2-cp38-none-win_amd64.whl", hash = "sha256:5179c271aa5de9c71712e31cb5a79e436ecd0d7532a408fa42a8dbfa4bc23fd9"}, - {file = "tokenizers-0.15.2-cp39-cp39-macosx_10_12_x86_64.whl", hash = "sha256:82f8652a74cc107052328b87ea8b34291c0f55b96d8fb261b3880216a9f9e48e"}, - {file = "tokenizers-0.15.2-cp39-cp39-macosx_11_0_arm64.whl", hash = "sha256:02458bee6f5f3139f1ebbb6d042b283af712c0981f5bc50edf771d6b762d5e4f"}, - {file = "tokenizers-0.15.2-cp39-cp39-manylinux_2_12_i686.manylinux2010_i686.whl", hash = "sha256:c9a09cd26cca2e1c349f91aa665309ddb48d71636370749414fbf67bc83c5343"}, - {file = "tokenizers-0.15.2-cp39-cp39-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:158be8ea8554e5ed69acc1ce3fbb23a06060bd4bbb09029431ad6b9a466a7121"}, - {file = "tokenizers-0.15.2-cp39-cp39-manylinux_2_17_armv7l.manylinux2014_armv7l.whl", hash = "sha256:1ddba9a2b0c8c81633eca0bb2e1aa5b3a15362b1277f1ae64176d0f6eba78ab1"}, - {file = "tokenizers-0.15.2-cp39-cp39-manylinux_2_17_ppc64le.manylinux2014_ppc64le.whl", hash = "sha256:3ef5dd1d39797044642dbe53eb2bc56435308432e9c7907728da74c69ee2adca"}, - {file = "tokenizers-0.15.2-cp39-cp39-manylinux_2_17_s390x.manylinux2014_s390x.whl", hash = "sha256:454c203164e07a860dbeb3b1f4a733be52b0edbb4dd2e5bd75023ffa8b49403a"}, - {file = "tokenizers-0.15.2-cp39-cp39-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:0cf6b7f1d4dc59af960e6ffdc4faffe6460bbfa8dce27a58bf75755ffdb2526d"}, - {file = "tokenizers-0.15.2-cp39-cp39-musllinux_1_1_aarch64.whl", hash = "sha256:2ef09bbc16519f6c25d0c7fc0c6a33a6f62923e263c9d7cca4e58b8c61572afb"}, - {file = "tokenizers-0.15.2-cp39-cp39-musllinux_1_1_x86_64.whl", hash = "sha256:c9a2ebdd2ad4ec7a68e7615086e633857c85e2f18025bd05d2a4399e6c5f7169"}, - {file = "tokenizers-0.15.2-cp39-none-win32.whl", hash = "sha256:918fbb0eab96fe08e72a8c2b5461e9cce95585d82a58688e7f01c2bd546c79d0"}, - {file = "tokenizers-0.15.2-cp39-none-win_amd64.whl", hash = "sha256:524e60da0135e106b254bd71f0659be9f89d83f006ea9093ce4d1fab498c6d0d"}, - {file = "tokenizers-0.15.2-pp310-pypy310_pp73-macosx_10_12_x86_64.whl", hash = "sha256:6a9b648a58281c4672212fab04e60648fde574877d0139cd4b4f93fe28ca8944"}, - {file = "tokenizers-0.15.2-pp310-pypy310_pp73-macosx_11_0_arm64.whl", hash = "sha256:7c7d18b733be6bbca8a55084027f7be428c947ddf871c500ee603e375013ffba"}, - {file = "tokenizers-0.15.2-pp310-pypy310_pp73-manylinux_2_12_i686.manylinux2010_i686.whl", hash = "sha256:13ca3611de8d9ddfbc4dc39ef54ab1d2d4aaa114ac8727dfdc6a6ec4be017378"}, - {file = "tokenizers-0.15.2-pp310-pypy310_pp73-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:237d1bf3361cf2e6463e6c140628e6406766e8b27274f5fcc62c747ae3c6f094"}, - {file = "tokenizers-0.15.2-pp310-pypy310_pp73-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:67a0fe1e49e60c664915e9fb6b0cb19bac082ab1f309188230e4b2920230edb3"}, - {file = "tokenizers-0.15.2-pp310-pypy310_pp73-musllinux_1_1_aarch64.whl", hash = "sha256:4e022fe65e99230b8fd89ebdfea138c24421f91c1a4f4781a8f5016fd5cdfb4d"}, - {file = "tokenizers-0.15.2-pp310-pypy310_pp73-musllinux_1_1_x86_64.whl", hash = "sha256:d857be2df69763362ac699f8b251a8cd3fac9d21893de129bc788f8baaef2693"}, - {file = "tokenizers-0.15.2-pp37-pypy37_pp73-macosx_10_12_x86_64.whl", hash = "sha256:708bb3e4283177236309e698da5fcd0879ce8fd37457d7c266d16b550bcbbd18"}, - {file = "tokenizers-0.15.2-pp37-pypy37_pp73-manylinux_2_12_i686.manylinux2010_i686.whl", hash = "sha256:64c35e09e9899b72a76e762f9854e8750213f67567787d45f37ce06daf57ca78"}, - {file = "tokenizers-0.15.2-pp37-pypy37_pp73-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:c1257f4394be0d3b00de8c9e840ca5601d0a4a8438361ce9c2b05c7d25f6057b"}, - {file = "tokenizers-0.15.2-pp37-pypy37_pp73-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:02272fe48280e0293a04245ca5d919b2c94a48b408b55e858feae9618138aeda"}, - {file = "tokenizers-0.15.2-pp37-pypy37_pp73-musllinux_1_1_aarch64.whl", hash = "sha256:dc3ad9ebc76eabe8b1d7c04d38be884b8f9d60c0cdc09b0aa4e3bcf746de0388"}, - {file = "tokenizers-0.15.2-pp37-pypy37_pp73-musllinux_1_1_x86_64.whl", hash = "sha256:32e16bdeffa7c4f46bf2152172ca511808b952701d13e7c18833c0b73cb5c23f"}, - {file = "tokenizers-0.15.2-pp38-pypy38_pp73-macosx_10_12_x86_64.whl", hash = "sha256:fb16ba563d59003028b678d2361a27f7e4ae0ab29c7a80690efa20d829c81fdb"}, - {file = "tokenizers-0.15.2-pp38-pypy38_pp73-macosx_11_0_arm64.whl", hash = "sha256:2277c36d2d6cdb7876c274547921a42425b6810d38354327dd65a8009acf870c"}, - {file = "tokenizers-0.15.2-pp38-pypy38_pp73-manylinux_2_12_i686.manylinux2010_i686.whl", hash = "sha256:1cf75d32e8d250781940d07f7eece253f2fe9ecdb1dc7ba6e3833fa17b82fcbc"}, - {file = "tokenizers-0.15.2-pp38-pypy38_pp73-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:f1b3b31884dc8e9b21508bb76da80ebf7308fdb947a17affce815665d5c4d028"}, - {file = "tokenizers-0.15.2-pp38-pypy38_pp73-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:b10122d8d8e30afb43bb1fe21a3619f62c3e2574bff2699cf8af8b0b6c5dc4a3"}, - {file = "tokenizers-0.15.2-pp38-pypy38_pp73-musllinux_1_1_aarch64.whl", hash = "sha256:d88b96ff0fe8e91f6ef01ba50b0d71db5017fa4e3b1d99681cec89a85faf7bf7"}, - {file = "tokenizers-0.15.2-pp38-pypy38_pp73-musllinux_1_1_x86_64.whl", hash = "sha256:37aaec5a52e959892870a7c47cef80c53797c0db9149d458460f4f31e2fb250e"}, - {file = "tokenizers-0.15.2-pp39-pypy39_pp73-macosx_10_12_x86_64.whl", hash = "sha256:e2ea752f2b0fe96eb6e2f3adbbf4d72aaa1272079b0dfa1145507bd6a5d537e6"}, - {file = "tokenizers-0.15.2-pp39-pypy39_pp73-macosx_11_0_arm64.whl", hash = "sha256:4b19a808d8799fda23504a5cd31d2f58e6f52f140380082b352f877017d6342b"}, - {file = "tokenizers-0.15.2-pp39-pypy39_pp73-manylinux_2_12_i686.manylinux2010_i686.whl", hash = "sha256:64c86e5e068ac8b19204419ed8ca90f9d25db20578f5881e337d203b314f4104"}, - {file = "tokenizers-0.15.2-pp39-pypy39_pp73-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:de19c4dc503c612847edf833c82e9f73cd79926a384af9d801dcf93f110cea4e"}, - {file = "tokenizers-0.15.2-pp39-pypy39_pp73-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:ea09acd2fe3324174063d61ad620dec3bcf042b495515f27f638270a7d466e8b"}, - {file = "tokenizers-0.15.2-pp39-pypy39_pp73-musllinux_1_1_aarch64.whl", hash = "sha256:cf27fd43472e07b57cf420eee1e814549203d56de00b5af8659cb99885472f1f"}, - {file = "tokenizers-0.15.2-pp39-pypy39_pp73-musllinux_1_1_x86_64.whl", hash = "sha256:7ca22bd897537a0080521445d91a58886c8c04084a6a19e6c78c586e0cfa92a5"}, - {file = "tokenizers-0.15.2.tar.gz", hash = "sha256:e6e9c6e019dd5484be5beafc775ae6c925f4c69a3487040ed09b45e13df2cb91"}, + {file = "tokenizers-0.19.1-cp310-cp310-macosx_10_12_x86_64.whl", hash = "sha256:952078130b3d101e05ecfc7fc3640282d74ed26bcf691400f872563fca15ac97"}, + {file = "tokenizers-0.19.1-cp310-cp310-macosx_11_0_arm64.whl", hash = "sha256:82c8b8063de6c0468f08e82c4e198763e7b97aabfe573fd4cf7b33930ca4df77"}, + {file = "tokenizers-0.19.1-cp310-cp310-manylinux_2_12_i686.manylinux2010_i686.whl", hash = "sha256:f03727225feaf340ceeb7e00604825addef622d551cbd46b7b775ac834c1e1c4"}, + {file = "tokenizers-0.19.1-cp310-cp310-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:453e4422efdfc9c6b6bf2eae00d5e323f263fff62b29a8c9cd526c5003f3f642"}, + {file = "tokenizers-0.19.1-cp310-cp310-manylinux_2_17_armv7l.manylinux2014_armv7l.whl", hash = "sha256:02e81bf089ebf0e7f4df34fa0207519f07e66d8491d963618252f2e0729e0b46"}, + {file = "tokenizers-0.19.1-cp310-cp310-manylinux_2_17_ppc64le.manylinux2014_ppc64le.whl", hash = "sha256:b07c538ba956843833fee1190cf769c60dc62e1cf934ed50d77d5502194d63b1"}, + {file = "tokenizers-0.19.1-cp310-cp310-manylinux_2_17_s390x.manylinux2014_s390x.whl", hash = "sha256:e28cab1582e0eec38b1f38c1c1fb2e56bce5dc180acb1724574fc5f47da2a4fe"}, + {file = "tokenizers-0.19.1-cp310-cp310-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:8b01afb7193d47439f091cd8f070a1ced347ad0f9144952a30a41836902fe09e"}, + {file = "tokenizers-0.19.1-cp310-cp310-musllinux_1_1_aarch64.whl", hash = "sha256:7fb297edec6c6841ab2e4e8f357209519188e4a59b557ea4fafcf4691d1b4c98"}, + {file = "tokenizers-0.19.1-cp310-cp310-musllinux_1_1_x86_64.whl", hash = "sha256:2e8a3dd055e515df7054378dc9d6fa8c8c34e1f32777fb9a01fea81496b3f9d3"}, + {file = "tokenizers-0.19.1-cp310-none-win32.whl", hash = "sha256:7ff898780a155ea053f5d934925f3902be2ed1f4d916461e1a93019cc7250837"}, + {file = "tokenizers-0.19.1-cp310-none-win_amd64.whl", hash = "sha256:bea6f9947e9419c2fda21ae6c32871e3d398cba549b93f4a65a2d369662d9403"}, + {file = "tokenizers-0.19.1-cp311-cp311-macosx_10_12_x86_64.whl", hash = "sha256:5c88d1481f1882c2e53e6bb06491e474e420d9ac7bdff172610c4f9ad3898059"}, + {file = "tokenizers-0.19.1-cp311-cp311-macosx_11_0_arm64.whl", hash = "sha256:ddf672ed719b4ed82b51499100f5417d7d9f6fb05a65e232249268f35de5ed14"}, + {file = "tokenizers-0.19.1-cp311-cp311-manylinux_2_12_i686.manylinux2010_i686.whl", hash = "sha256:dadc509cc8a9fe460bd274c0e16ac4184d0958117cf026e0ea8b32b438171594"}, + {file = "tokenizers-0.19.1-cp311-cp311-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:dfedf31824ca4915b511b03441784ff640378191918264268e6923da48104acc"}, + {file = "tokenizers-0.19.1-cp311-cp311-manylinux_2_17_armv7l.manylinux2014_armv7l.whl", hash = "sha256:ac11016d0a04aa6487b1513a3a36e7bee7eec0e5d30057c9c0408067345c48d2"}, + {file = "tokenizers-0.19.1-cp311-cp311-manylinux_2_17_ppc64le.manylinux2014_ppc64le.whl", hash = "sha256:76951121890fea8330d3a0df9a954b3f2a37e3ec20e5b0530e9a0044ca2e11fe"}, + {file = "tokenizers-0.19.1-cp311-cp311-manylinux_2_17_s390x.manylinux2014_s390x.whl", hash = "sha256:b342d2ce8fc8d00f376af068e3274e2e8649562e3bc6ae4a67784ded6b99428d"}, + {file = "tokenizers-0.19.1-cp311-cp311-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:d16ff18907f4909dca9b076b9c2d899114dd6abceeb074eca0c93e2353f943aa"}, + {file = "tokenizers-0.19.1-cp311-cp311-musllinux_1_1_aarch64.whl", hash = "sha256:706a37cc5332f85f26efbe2bdc9ef8a9b372b77e4645331a405073e4b3a8c1c6"}, + {file = "tokenizers-0.19.1-cp311-cp311-musllinux_1_1_x86_64.whl", hash = "sha256:16baac68651701364b0289979ecec728546133e8e8fe38f66fe48ad07996b88b"}, + {file = "tokenizers-0.19.1-cp311-none-win32.whl", hash = "sha256:9ed240c56b4403e22b9584ee37d87b8bfa14865134e3e1c3fb4b2c42fafd3256"}, + {file = "tokenizers-0.19.1-cp311-none-win_amd64.whl", hash = "sha256:ad57d59341710b94a7d9dbea13f5c1e7d76fd8d9bcd944a7a6ab0b0da6e0cc66"}, + {file = "tokenizers-0.19.1-cp312-cp312-macosx_10_12_x86_64.whl", hash = "sha256:621d670e1b1c281a1c9698ed89451395d318802ff88d1fc1accff0867a06f153"}, + {file = "tokenizers-0.19.1-cp312-cp312-macosx_11_0_arm64.whl", hash = "sha256:d924204a3dbe50b75630bd16f821ebda6a5f729928df30f582fb5aade90c818a"}, + {file = "tokenizers-0.19.1-cp312-cp312-manylinux_2_12_i686.manylinux2010_i686.whl", hash = "sha256:4f3fefdc0446b1a1e6d81cd4c07088ac015665d2e812f6dbba4a06267d1a2c95"}, + {file = "tokenizers-0.19.1-cp312-cp312-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:9620b78e0b2d52ef07b0d428323fb34e8ea1219c5eac98c2596311f20f1f9266"}, + {file = "tokenizers-0.19.1-cp312-cp312-manylinux_2_17_armv7l.manylinux2014_armv7l.whl", hash = "sha256:04ce49e82d100594715ac1b2ce87d1a36e61891a91de774755f743babcd0dd52"}, + {file = "tokenizers-0.19.1-cp312-cp312-manylinux_2_17_ppc64le.manylinux2014_ppc64le.whl", hash = "sha256:c5c2ff13d157afe413bf7e25789879dd463e5a4abfb529a2d8f8473d8042e28f"}, + {file = "tokenizers-0.19.1-cp312-cp312-manylinux_2_17_s390x.manylinux2014_s390x.whl", hash = "sha256:3174c76efd9d08f836bfccaca7cfec3f4d1c0a4cf3acbc7236ad577cc423c840"}, + {file = "tokenizers-0.19.1-cp312-cp312-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:7c9d5b6c0e7a1e979bec10ff960fae925e947aab95619a6fdb4c1d8ff3708ce3"}, + {file = "tokenizers-0.19.1-cp312-cp312-musllinux_1_1_aarch64.whl", hash = "sha256:a179856d1caee06577220ebcfa332af046d576fb73454b8f4d4b0ba8324423ea"}, + {file = "tokenizers-0.19.1-cp312-cp312-musllinux_1_1_x86_64.whl", hash = "sha256:952b80dac1a6492170f8c2429bd11fcaa14377e097d12a1dbe0ef2fb2241e16c"}, + {file = "tokenizers-0.19.1-cp312-none-win32.whl", hash = "sha256:01d62812454c188306755c94755465505836fd616f75067abcae529c35edeb57"}, + {file = "tokenizers-0.19.1-cp312-none-win_amd64.whl", hash = "sha256:b70bfbe3a82d3e3fb2a5e9b22a39f8d1740c96c68b6ace0086b39074f08ab89a"}, + {file = "tokenizers-0.19.1-cp37-cp37m-macosx_10_12_x86_64.whl", hash = "sha256:bb9dfe7dae85bc6119d705a76dc068c062b8b575abe3595e3c6276480e67e3f1"}, + {file = "tokenizers-0.19.1-cp37-cp37m-macosx_11_0_arm64.whl", hash = "sha256:1f0360cbea28ea99944ac089c00de7b2e3e1c58f479fb8613b6d8d511ce98267"}, + {file = "tokenizers-0.19.1-cp37-cp37m-manylinux_2_12_i686.manylinux2010_i686.whl", hash = "sha256:71e3ec71f0e78780851fef28c2a9babe20270404c921b756d7c532d280349214"}, + {file = "tokenizers-0.19.1-cp37-cp37m-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:b82931fa619dbad979c0ee8e54dd5278acc418209cc897e42fac041f5366d626"}, + {file = "tokenizers-0.19.1-cp37-cp37m-manylinux_2_17_armv7l.manylinux2014_armv7l.whl", hash = "sha256:e8ff5b90eabdcdaa19af697885f70fe0b714ce16709cf43d4952f1f85299e73a"}, + {file = "tokenizers-0.19.1-cp37-cp37m-manylinux_2_17_ppc64le.manylinux2014_ppc64le.whl", hash = "sha256:e742d76ad84acbdb1a8e4694f915fe59ff6edc381c97d6dfdd054954e3478ad4"}, + {file = "tokenizers-0.19.1-cp37-cp37m-manylinux_2_17_s390x.manylinux2014_s390x.whl", hash = "sha256:d8c5d59d7b59885eab559d5bc082b2985555a54cda04dda4c65528d90ad252ad"}, + {file = "tokenizers-0.19.1-cp37-cp37m-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:6b2da5c32ed869bebd990c9420df49813709e953674c0722ff471a116d97b22d"}, + {file = "tokenizers-0.19.1-cp37-cp37m-musllinux_1_1_aarch64.whl", hash = "sha256:638e43936cc8b2cbb9f9d8dde0fe5e7e30766a3318d2342999ae27f68fdc9bd6"}, + {file = "tokenizers-0.19.1-cp37-cp37m-musllinux_1_1_x86_64.whl", hash = "sha256:78e769eb3b2c79687d9cb0f89ef77223e8e279b75c0a968e637ca7043a84463f"}, + {file = "tokenizers-0.19.1-cp37-none-win32.whl", hash = "sha256:72791f9bb1ca78e3ae525d4782e85272c63faaef9940d92142aa3eb79f3407a3"}, + {file = "tokenizers-0.19.1-cp37-none-win_amd64.whl", hash = "sha256:f3bbb7a0c5fcb692950b041ae11067ac54826204318922da754f908d95619fbc"}, + {file = "tokenizers-0.19.1-cp38-cp38-macosx_10_12_x86_64.whl", hash = "sha256:07f9295349bbbcedae8cefdbcfa7f686aa420be8aca5d4f7d1ae6016c128c0c5"}, + {file = "tokenizers-0.19.1-cp38-cp38-macosx_11_0_arm64.whl", hash = "sha256:10a707cc6c4b6b183ec5dbfc5c34f3064e18cf62b4a938cb41699e33a99e03c1"}, + {file = "tokenizers-0.19.1-cp38-cp38-manylinux_2_12_i686.manylinux2010_i686.whl", hash = "sha256:6309271f57b397aa0aff0cbbe632ca9d70430839ca3178bf0f06f825924eca22"}, + {file = "tokenizers-0.19.1-cp38-cp38-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:4ad23d37d68cf00d54af184586d79b84075ada495e7c5c0f601f051b162112dc"}, + {file = "tokenizers-0.19.1-cp38-cp38-manylinux_2_17_armv7l.manylinux2014_armv7l.whl", hash = "sha256:427c4f0f3df9109314d4f75b8d1f65d9477033e67ffaec4bca53293d3aca286d"}, + {file = "tokenizers-0.19.1-cp38-cp38-manylinux_2_17_ppc64le.manylinux2014_ppc64le.whl", hash = "sha256:e83a31c9cf181a0a3ef0abad2b5f6b43399faf5da7e696196ddd110d332519ee"}, + {file = "tokenizers-0.19.1-cp38-cp38-manylinux_2_17_s390x.manylinux2014_s390x.whl", hash = "sha256:c27b99889bd58b7e301468c0838c5ed75e60c66df0d4db80c08f43462f82e0d3"}, + {file = "tokenizers-0.19.1-cp38-cp38-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:bac0b0eb952412b0b196ca7a40e7dce4ed6f6926489313414010f2e6b9ec2adf"}, + {file = "tokenizers-0.19.1-cp38-cp38-musllinux_1_1_aarch64.whl", hash = "sha256:8a6298bde623725ca31c9035a04bf2ef63208d266acd2bed8c2cb7d2b7d53ce6"}, + {file = "tokenizers-0.19.1-cp38-cp38-musllinux_1_1_x86_64.whl", hash = "sha256:08a44864e42fa6d7d76d7be4bec62c9982f6f6248b4aa42f7302aa01e0abfd26"}, + {file = "tokenizers-0.19.1-cp38-none-win32.whl", hash = "sha256:1de5bc8652252d9357a666e609cb1453d4f8e160eb1fb2830ee369dd658e8975"}, + {file = "tokenizers-0.19.1-cp38-none-win_amd64.whl", hash = "sha256:0bcce02bf1ad9882345b34d5bd25ed4949a480cf0e656bbd468f4d8986f7a3f1"}, + {file = "tokenizers-0.19.1-cp39-cp39-macosx_10_12_x86_64.whl", hash = "sha256:0b9394bd204842a2a1fd37fe29935353742be4a3460b6ccbaefa93f58a8df43d"}, + {file = "tokenizers-0.19.1-cp39-cp39-macosx_11_0_arm64.whl", hash = "sha256:4692ab92f91b87769d950ca14dbb61f8a9ef36a62f94bad6c82cc84a51f76f6a"}, + {file = "tokenizers-0.19.1-cp39-cp39-manylinux_2_12_i686.manylinux2010_i686.whl", hash = "sha256:6258c2ef6f06259f70a682491c78561d492e885adeaf9f64f5389f78aa49a051"}, + {file = "tokenizers-0.19.1-cp39-cp39-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:c85cf76561fbd01e0d9ea2d1cbe711a65400092bc52b5242b16cfd22e51f0c58"}, + {file = "tokenizers-0.19.1-cp39-cp39-manylinux_2_17_armv7l.manylinux2014_armv7l.whl", hash = "sha256:670b802d4d82bbbb832ddb0d41df7015b3e549714c0e77f9bed3e74d42400fbe"}, + {file = "tokenizers-0.19.1-cp39-cp39-manylinux_2_17_ppc64le.manylinux2014_ppc64le.whl", hash = "sha256:85aa3ab4b03d5e99fdd31660872249df5e855334b6c333e0bc13032ff4469c4a"}, + {file = "tokenizers-0.19.1-cp39-cp39-manylinux_2_17_s390x.manylinux2014_s390x.whl", hash = "sha256:cbf001afbbed111a79ca47d75941e9e5361297a87d186cbfc11ed45e30b5daba"}, + {file = "tokenizers-0.19.1-cp39-cp39-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:b4c89aa46c269e4e70c4d4f9d6bc644fcc39bb409cb2a81227923404dd6f5227"}, + {file = "tokenizers-0.19.1-cp39-cp39-musllinux_1_1_aarch64.whl", hash = "sha256:39c1ec76ea1027438fafe16ecb0fb84795e62e9d643444c1090179e63808c69d"}, + {file = "tokenizers-0.19.1-cp39-cp39-musllinux_1_1_x86_64.whl", hash = "sha256:c2a0d47a89b48d7daa241e004e71fb5a50533718897a4cd6235cb846d511a478"}, + {file = "tokenizers-0.19.1-cp39-none-win32.whl", hash = "sha256:61b7fe8886f2e104d4caf9218b157b106207e0f2a4905c9c7ac98890688aabeb"}, + {file = "tokenizers-0.19.1-cp39-none-win_amd64.whl", hash = "sha256:f97660f6c43efd3e0bfd3f2e3e5615bf215680bad6ee3d469df6454b8c6e8256"}, + {file = "tokenizers-0.19.1-pp310-pypy310_pp73-macosx_10_12_x86_64.whl", hash = "sha256:3b11853f17b54c2fe47742c56d8a33bf49ce31caf531e87ac0d7d13d327c9334"}, + {file = "tokenizers-0.19.1-pp310-pypy310_pp73-macosx_11_0_arm64.whl", hash = "sha256:d26194ef6c13302f446d39972aaa36a1dda6450bc8949f5eb4c27f51191375bd"}, + {file = "tokenizers-0.19.1-pp310-pypy310_pp73-manylinux_2_12_i686.manylinux2010_i686.whl", hash = "sha256:e8d1ed93beda54bbd6131a2cb363a576eac746d5c26ba5b7556bc6f964425594"}, + {file = "tokenizers-0.19.1-pp310-pypy310_pp73-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:ca407133536f19bdec44b3da117ef0d12e43f6d4b56ac4c765f37eca501c7bda"}, + {file = "tokenizers-0.19.1-pp310-pypy310_pp73-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:ce05fde79d2bc2e46ac08aacbc142bead21614d937aac950be88dc79f9db9022"}, + {file = "tokenizers-0.19.1-pp310-pypy310_pp73-musllinux_1_1_aarch64.whl", hash = "sha256:35583cd46d16f07c054efd18b5d46af4a2f070a2dd0a47914e66f3ff5efb2b1e"}, + {file = "tokenizers-0.19.1-pp310-pypy310_pp73-musllinux_1_1_x86_64.whl", hash = "sha256:43350270bfc16b06ad3f6f07eab21f089adb835544417afda0f83256a8bf8b75"}, + {file = "tokenizers-0.19.1-pp37-pypy37_pp73-macosx_10_12_x86_64.whl", hash = "sha256:b4399b59d1af5645bcee2072a463318114c39b8547437a7c2d6a186a1b5a0e2d"}, + {file = "tokenizers-0.19.1-pp37-pypy37_pp73-manylinux_2_12_i686.manylinux2010_i686.whl", hash = "sha256:6852c5b2a853b8b0ddc5993cd4f33bfffdca4fcc5d52f89dd4b8eada99379285"}, + {file = "tokenizers-0.19.1-pp37-pypy37_pp73-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:bcd266ae85c3d39df2f7e7d0e07f6c41a55e9a3123bb11f854412952deacd828"}, + {file = "tokenizers-0.19.1-pp37-pypy37_pp73-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:ecb2651956eea2aa0a2d099434134b1b68f1c31f9a5084d6d53f08ed43d45ff2"}, + {file = "tokenizers-0.19.1-pp37-pypy37_pp73-musllinux_1_1_aarch64.whl", hash = "sha256:b279ab506ec4445166ac476fb4d3cc383accde1ea152998509a94d82547c8e2a"}, + {file = "tokenizers-0.19.1-pp37-pypy37_pp73-musllinux_1_1_x86_64.whl", hash = "sha256:89183e55fb86e61d848ff83753f64cded119f5d6e1f553d14ffee3700d0a4a49"}, + {file = "tokenizers-0.19.1-pp38-pypy38_pp73-macosx_10_12_x86_64.whl", hash = "sha256:b2edbc75744235eea94d595a8b70fe279dd42f3296f76d5a86dde1d46e35f574"}, + {file = "tokenizers-0.19.1-pp38-pypy38_pp73-macosx_11_0_arm64.whl", hash = "sha256:0e64bfde9a723274e9a71630c3e9494ed7b4c0f76a1faacf7fe294cd26f7ae7c"}, + {file = "tokenizers-0.19.1-pp38-pypy38_pp73-manylinux_2_12_i686.manylinux2010_i686.whl", hash = "sha256:0b5ca92bfa717759c052e345770792d02d1f43b06f9e790ca0a1db62838816f3"}, + {file = "tokenizers-0.19.1-pp38-pypy38_pp73-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:6f8a20266e695ec9d7a946a019c1d5ca4eddb6613d4f466888eee04f16eedb85"}, + {file = "tokenizers-0.19.1-pp38-pypy38_pp73-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:63c38f45d8f2a2ec0f3a20073cccb335b9f99f73b3c69483cd52ebc75369d8a1"}, + {file = "tokenizers-0.19.1-pp38-pypy38_pp73-musllinux_1_1_aarch64.whl", hash = "sha256:dd26e3afe8a7b61422df3176e06664503d3f5973b94f45d5c45987e1cb711876"}, + {file = "tokenizers-0.19.1-pp38-pypy38_pp73-musllinux_1_1_x86_64.whl", hash = "sha256:eddd5783a4a6309ce23432353cdb36220e25cbb779bfa9122320666508b44b88"}, + {file = "tokenizers-0.19.1-pp39-pypy39_pp73-macosx_10_12_x86_64.whl", hash = "sha256:56ae39d4036b753994476a1b935584071093b55c7a72e3b8288e68c313ca26e7"}, + {file = "tokenizers-0.19.1-pp39-pypy39_pp73-macosx_11_0_arm64.whl", hash = "sha256:f9939ca7e58c2758c01b40324a59c034ce0cebad18e0d4563a9b1beab3018243"}, + {file = "tokenizers-0.19.1-pp39-pypy39_pp73-manylinux_2_12_i686.manylinux2010_i686.whl", hash = "sha256:6c330c0eb815d212893c67a032e9dc1b38a803eccb32f3e8172c19cc69fbb439"}, + {file = "tokenizers-0.19.1-pp39-pypy39_pp73-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:ec11802450a2487cdf0e634b750a04cbdc1c4d066b97d94ce7dd2cb51ebb325b"}, + {file = "tokenizers-0.19.1-pp39-pypy39_pp73-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:a2b718f316b596f36e1dae097a7d5b91fc5b85e90bf08b01ff139bd8953b25af"}, + {file = "tokenizers-0.19.1-pp39-pypy39_pp73-musllinux_1_1_aarch64.whl", hash = "sha256:ed69af290c2b65169f0ba9034d1dc39a5db9459b32f1dd8b5f3f32a3fcf06eab"}, + {file = "tokenizers-0.19.1-pp39-pypy39_pp73-musllinux_1_1_x86_64.whl", hash = "sha256:f8a9c828277133af13f3859d1b6bf1c3cb6e9e1637df0e45312e6b7c2e622b1f"}, + {file = "tokenizers-0.19.1.tar.gz", hash = "sha256:ee59e6680ed0fdbe6b724cf38bd70400a0c1dd623b07ac729087270caeac88e3"}, ] [package.dependencies] -huggingface_hub = ">=0.16.4,<1.0" +huggingface-hub = ">=0.16.4,<1.0" [package.extras] dev = ["tokenizers[testing]"] -docs = ["setuptools_rust", "sphinx", "sphinx_rtd_theme"] -testing = ["black (==22.3)", "datasets", "numpy", "pytest", "requests"] +docs = ["setuptools-rust", "sphinx", "sphinx-rtd-theme"] +testing = ["black (==22.3)", "datasets", "numpy", "pytest", "requests", "ruff"] [[package]] name = "toml" @@ -8812,42 +8934,38 @@ files = [ [[package]] name = "torch" -version = "2.2.2" +version = "2.3.0" description = "Tensors and Dynamic neural networks in Python with strong GPU acceleration" optional = true python-versions = ">=3.8.0" files = [ - {file = "torch-2.2.2-cp310-cp310-manylinux1_x86_64.whl", hash = "sha256:bc889d311a855dd2dfd164daf8cc903a6b7273a747189cebafdd89106e4ad585"}, - {file = "torch-2.2.2-cp310-cp310-manylinux2014_aarch64.whl", hash = "sha256:15dffa4cc3261fa73d02f0ed25f5fa49ecc9e12bf1ae0a4c1e7a88bbfaad9030"}, - {file = "torch-2.2.2-cp310-cp310-win_amd64.whl", hash = "sha256:11e8fe261233aeabd67696d6b993eeb0896faa175c6b41b9a6c9f0334bdad1c5"}, - {file = "torch-2.2.2-cp310-none-macosx_10_9_x86_64.whl", hash = "sha256:b2e2200b245bd9f263a0d41b6a2dab69c4aca635a01b30cca78064b0ef5b109e"}, - {file = "torch-2.2.2-cp310-none-macosx_11_0_arm64.whl", hash = "sha256:877b3e6593b5e00b35bbe111b7057464e76a7dd186a287280d941b564b0563c2"}, - {file = "torch-2.2.2-cp311-cp311-manylinux1_x86_64.whl", hash = "sha256:ad4c03b786e074f46606f4151c0a1e3740268bcf29fbd2fdf6666d66341c1dcb"}, - {file = "torch-2.2.2-cp311-cp311-manylinux2014_aarch64.whl", hash = "sha256:32827fa1fbe5da8851686256b4cd94cc7b11be962862c2293811c94eea9457bf"}, - {file = "torch-2.2.2-cp311-cp311-win_amd64.whl", hash = "sha256:f9ef0a648310435511e76905f9b89612e45ef2c8b023bee294f5e6f7e73a3e7c"}, - {file = "torch-2.2.2-cp311-none-macosx_10_9_x86_64.whl", hash = "sha256:95b9b44f3bcebd8b6cd8d37ec802048c872d9c567ba52c894bba90863a439059"}, - {file = "torch-2.2.2-cp311-none-macosx_11_0_arm64.whl", hash = "sha256:49aa4126ede714c5aeef7ae92969b4b0bbe67f19665106463c39f22e0a1860d1"}, - {file = "torch-2.2.2-cp312-cp312-manylinux1_x86_64.whl", hash = "sha256:cf12cdb66c9c940227ad647bc9cf5dba7e8640772ae10dfe7569a0c1e2a28aca"}, - {file = "torch-2.2.2-cp312-cp312-manylinux2014_aarch64.whl", hash = "sha256:89ddac2a8c1fb6569b90890955de0c34e1724f87431cacff4c1979b5f769203c"}, - {file = "torch-2.2.2-cp312-cp312-win_amd64.whl", hash = "sha256:451331406b760f4b1ab298ddd536486ab3cfb1312614cfe0532133535be60bea"}, - {file = "torch-2.2.2-cp312-none-macosx_10_9_x86_64.whl", hash = "sha256:eb4d6e9d3663e26cd27dc3ad266b34445a16b54908e74725adb241aa56987533"}, - {file = "torch-2.2.2-cp312-none-macosx_11_0_arm64.whl", hash = "sha256:bf9558da7d2bf7463390b3b2a61a6a3dbb0b45b161ee1dd5ec640bf579d479fc"}, - {file = "torch-2.2.2-cp38-cp38-manylinux1_x86_64.whl", hash = "sha256:cd2bf7697c9e95fb5d97cc1d525486d8cf11a084c6af1345c2c2c22a6b0029d0"}, - {file = "torch-2.2.2-cp38-cp38-manylinux2014_aarch64.whl", hash = "sha256:b421448d194496e1114d87a8b8d6506bce949544e513742b097e2ab8f7efef32"}, - {file = "torch-2.2.2-cp38-cp38-win_amd64.whl", hash = "sha256:3dbcd563a9b792161640c0cffe17e3270d85e8f4243b1f1ed19cca43d28d235b"}, - {file = "torch-2.2.2-cp38-none-macosx_10_9_x86_64.whl", hash = "sha256:31f4310210e7dda49f1fb52b0ec9e59382cfcb938693f6d5378f25b43d7c1d29"}, - {file = "torch-2.2.2-cp38-none-macosx_11_0_arm64.whl", hash = "sha256:c795feb7e8ce2e0ef63f75f8e1ab52e7fd5e1a4d7d0c31367ade1e3de35c9e95"}, - {file = "torch-2.2.2-cp39-cp39-manylinux1_x86_64.whl", hash = "sha256:a6e5770d68158d07456bfcb5318b173886f579fdfbf747543901ce718ea94782"}, - {file = "torch-2.2.2-cp39-cp39-manylinux2014_aarch64.whl", hash = "sha256:67dcd726edff108e2cd6c51ff0e416fd260c869904de95750e80051358680d24"}, - {file = "torch-2.2.2-cp39-cp39-win_amd64.whl", hash = "sha256:539d5ef6c4ce15bd3bd47a7b4a6e7c10d49d4d21c0baaa87c7d2ef8698632dfb"}, - {file = "torch-2.2.2-cp39-none-macosx_10_9_x86_64.whl", hash = "sha256:dff696de90d6f6d1e8200e9892861fd4677306d0ef604cb18f2134186f719f82"}, - {file = "torch-2.2.2-cp39-none-macosx_11_0_arm64.whl", hash = "sha256:3a4dd910663fd7a124c056c878a52c2b0be4a5a424188058fe97109d4436ee42"}, + {file = "torch-2.3.0-cp310-cp310-manylinux1_x86_64.whl", hash = "sha256:d8ea5a465dbfd8501f33c937d1f693176c9aef9d1c1b0ca1d44ed7b0a18c52ac"}, + {file = "torch-2.3.0-cp310-cp310-manylinux2014_aarch64.whl", hash = "sha256:09c81c5859a5b819956c6925a405ef1cdda393c9d8a01ce3851453f699d3358c"}, + {file = "torch-2.3.0-cp310-cp310-win_amd64.whl", hash = "sha256:1bf023aa20902586f614f7682fedfa463e773e26c58820b74158a72470259459"}, + {file = "torch-2.3.0-cp310-none-macosx_11_0_arm64.whl", hash = "sha256:758ef938de87a2653bba74b91f703458c15569f1562bf4b6c63c62d9c5a0c1f5"}, + {file = "torch-2.3.0-cp311-cp311-manylinux1_x86_64.whl", hash = "sha256:493d54ee2f9df100b5ce1d18c96dbb8d14908721f76351e908c9d2622773a788"}, + {file = "torch-2.3.0-cp311-cp311-manylinux2014_aarch64.whl", hash = "sha256:bce43af735c3da16cc14c7de2be7ad038e2fbf75654c2e274e575c6c05772ace"}, + {file = "torch-2.3.0-cp311-cp311-win_amd64.whl", hash = "sha256:729804e97b7cf19ae9ab4181f91f5e612af07956f35c8b2c8e9d9f3596a8e877"}, + {file = "torch-2.3.0-cp311-none-macosx_11_0_arm64.whl", hash = "sha256:d24e328226d8e2af7cf80fcb1d2f1d108e0de32777fab4aaa2b37b9765d8be73"}, + {file = "torch-2.3.0-cp312-cp312-manylinux1_x86_64.whl", hash = "sha256:b0de2bdc0486ea7b14fc47ff805172df44e421a7318b7c4d92ef589a75d27410"}, + {file = "torch-2.3.0-cp312-cp312-manylinux2014_aarch64.whl", hash = "sha256:a306c87a3eead1ed47457822c01dfbd459fe2920f2d38cbdf90de18f23f72542"}, + {file = "torch-2.3.0-cp312-cp312-win_amd64.whl", hash = "sha256:f9b98bf1a3c8af2d4c41f0bf1433920900896c446d1ddc128290ff146d1eb4bd"}, + {file = "torch-2.3.0-cp312-none-macosx_11_0_arm64.whl", hash = "sha256:dca986214267b34065a79000cee54232e62b41dff1ec2cab9abc3fc8b3dee0ad"}, + {file = "torch-2.3.0-cp38-cp38-manylinux1_x86_64.whl", hash = "sha256:20572f426965dd8a04e92a473d7e445fa579e09943cc0354f3e6fef6130ce061"}, + {file = "torch-2.3.0-cp38-cp38-manylinux2014_aarch64.whl", hash = "sha256:e65ba85ae292909cde0dde6369826d51165a3fc8823dc1854cd9432d7f79b932"}, + {file = "torch-2.3.0-cp38-cp38-win_amd64.whl", hash = "sha256:5515503a193781fd1b3f5c474e89c9dfa2faaa782b2795cc4a7ab7e67de923f6"}, + {file = "torch-2.3.0-cp38-none-macosx_11_0_arm64.whl", hash = "sha256:6ae9f64b09516baa4ef890af0672dc981c20b1f0d829ce115d4420a247e88fba"}, + {file = "torch-2.3.0-cp39-cp39-manylinux1_x86_64.whl", hash = "sha256:cd0dc498b961ab19cb3f8dbf0c6c50e244f2f37dbfa05754ab44ea057c944ef9"}, + {file = "torch-2.3.0-cp39-cp39-manylinux2014_aarch64.whl", hash = "sha256:e05f836559251e4096f3786ee99f4a8cbe67bc7fbedba8ad5e799681e47c5e80"}, + {file = "torch-2.3.0-cp39-cp39-win_amd64.whl", hash = "sha256:4fb27b35dbb32303c2927da86e27b54a92209ddfb7234afb1949ea2b3effffea"}, + {file = "torch-2.3.0-cp39-none-macosx_11_0_arm64.whl", hash = "sha256:760f8bedff506ce9e6e103498f9b1e9e15809e008368594c3a66bf74a8a51380"}, ] [package.dependencies] filelock = "*" fsspec = "*" jinja2 = "*" +mkl = {version = ">=2021.1.1,<=2021.4.0", markers = "platform_system == \"Windows\""} networkx = "*" nvidia-cublas-cu12 = {version = "12.1.3.1", markers = "platform_system == \"Linux\" and platform_machine == \"x86_64\""} nvidia-cuda-cupti-cu12 = {version = "12.1.105", markers = "platform_system == \"Linux\" and platform_machine == \"x86_64\""} @@ -8858,10 +8976,10 @@ nvidia-cufft-cu12 = {version = "11.0.2.54", markers = "platform_system == \"Linu nvidia-curand-cu12 = {version = "10.3.2.106", markers = "platform_system == \"Linux\" and platform_machine == \"x86_64\""} nvidia-cusolver-cu12 = {version = "11.4.5.107", markers = "platform_system == \"Linux\" and platform_machine == \"x86_64\""} nvidia-cusparse-cu12 = {version = "12.1.0.106", markers = "platform_system == \"Linux\" and platform_machine == \"x86_64\""} -nvidia-nccl-cu12 = {version = "2.19.3", markers = "platform_system == \"Linux\" and platform_machine == \"x86_64\""} +nvidia-nccl-cu12 = {version = "2.20.5", markers = "platform_system == \"Linux\" and platform_machine == \"x86_64\""} nvidia-nvtx-cu12 = {version = "12.1.105", markers = "platform_system == \"Linux\" and platform_machine == \"x86_64\""} sympy = "*" -triton = {version = "2.2.0", markers = "platform_system == \"Linux\" and platform_machine == \"x86_64\" and python_version < \"3.12\""} +triton = {version = "2.3.0", markers = "platform_system == \"Linux\" and platform_machine == \"x86_64\" and python_version < \"3.12\""} typing-extensions = ">=4.8.0" [package.extras] @@ -8890,13 +9008,13 @@ files = [ [[package]] name = "tqdm" -version = "4.66.2" +version = "4.66.4" description = "Fast, Extensible Progress Meter" optional = false python-versions = ">=3.7" files = [ - {file = "tqdm-4.66.2-py3-none-any.whl", hash = "sha256:1ee4f8a893eb9bef51c6e35730cebf234d5d0b6bd112b0271e10ed7c24a02bd9"}, - {file = "tqdm-4.66.2.tar.gz", hash = "sha256:6cd52cdf0fef0e0f543299cfc96fec90d7b8a7e88745f411ec33eb44d5ed3531"}, + {file = "tqdm-4.66.4-py3-none-any.whl", hash = "sha256:b75ca56b413b030bc3f00af51fd2c1a1a5eac6a0c1cca83cbb37a5c52abce644"}, + {file = "tqdm-4.66.4.tar.gz", hash = "sha256:e4d936c9de8727928f3be6079590e97d9abfe8d39a590be678eb5919ffc186bb"}, ] [package.dependencies] @@ -8910,28 +9028,28 @@ telegram = ["requests"] [[package]] name = "traitlets" -version = "5.14.2" +version = "5.14.3" description = "Traitlets Python configuration system" optional = false python-versions = ">=3.8" files = [ - {file = "traitlets-5.14.2-py3-none-any.whl", hash = "sha256:fcdf85684a772ddeba87db2f398ce00b40ff550d1528c03c14dbf6a02003cd80"}, - {file = "traitlets-5.14.2.tar.gz", hash = "sha256:8cdd83c040dab7d1dee822678e5f5d100b514f7b72b01615b26fc5718916fdf9"}, + {file = "traitlets-5.14.3-py3-none-any.whl", hash = "sha256:b74e89e397b1ed28cc831db7aea759ba6640cb3de13090ca145426688ff1ac4f"}, + {file = "traitlets-5.14.3.tar.gz", hash = "sha256:9ed0579d3502c94b4b3732ac120375cda96f923114522847de4b3bb98b96b6b7"}, ] [package.extras] docs = ["myst-parser", "pydata-sphinx-theme", "sphinx"] -test = ["argcomplete (>=3.0.3)", "mypy (>=1.7.0)", "pre-commit", "pytest (>=7.0,<8.1)", "pytest-mock", "pytest-mypy-testing"] +test = ["argcomplete (>=3.0.3)", "mypy (>=1.7.0)", "pre-commit", "pytest (>=7.0,<8.2)", "pytest-mock", "pytest-mypy-testing"] [[package]] name = "transformers" -version = "4.39.3" +version = "4.40.2" description = "State-of-the-art Machine Learning for JAX, PyTorch and TensorFlow" optional = true python-versions = ">=3.8.0" files = [ - {file = "transformers-4.39.3-py3-none-any.whl", hash = "sha256:7838034a12cca3168247f9d2d1dba6724c9de3ae0f73a108258c6b8fc5912601"}, - {file = "transformers-4.39.3.tar.gz", hash = "sha256:2586e5ff4150f122716fc40f5530e92871befc051848fbe82600969c535b762d"}, + {file = "transformers-4.40.2-py3-none-any.whl", hash = "sha256:71cb94301ec211a2e1d4b8c8d18dcfaa902dfa00a089dceca167a8aa265d6f2d"}, + {file = "transformers-4.40.2.tar.gz", hash = "sha256:657b6054a2097671398d976ad46e60836e7e15f9ea9551631a96e33cb9240649"}, ] [package.dependencies] @@ -8943,21 +9061,21 @@ pyyaml = ">=5.1" regex = "!=2019.12.17" requests = "*" safetensors = ">=0.4.1" -tokenizers = ">=0.14,<0.19" +tokenizers = ">=0.19,<0.20" tqdm = ">=4.27" [package.extras] accelerate = ["accelerate (>=0.21.0)"] agents = ["Pillow (>=10.0.1,<=15.0)", "accelerate (>=0.21.0)", "datasets (!=2.5.0)", "diffusers", "opencv-python", "sentencepiece (>=0.1.91,!=0.1.92)", "torch"] -all = ["Pillow (>=10.0.1,<=15.0)", "accelerate (>=0.21.0)", "av (==9.2.0)", "codecarbon (==1.2.0)", "decord (==0.6.0)", "flax (>=0.4.1,<=0.7.0)", "jax (>=0.4.1,<=0.4.13)", "jaxlib (>=0.4.1,<=0.4.13)", "kenlm", "keras-nlp (>=0.3.1)", "librosa", "onnxconverter-common", "optax (>=0.0.8,<=0.1.4)", "optuna", "phonemizer", "protobuf", "pyctcdecode (>=0.4.0)", "ray[tune] (>=2.7.0)", "sentencepiece (>=0.1.91,!=0.1.92)", "sigopt", "tensorflow (>=2.6,<2.16)", "tensorflow-text (<2.16)", "tf2onnx", "timm", "tokenizers (>=0.14,<0.19)", "torch", "torchaudio", "torchvision"] +all = ["Pillow (>=10.0.1,<=15.0)", "accelerate (>=0.21.0)", "av (==9.2.0)", "codecarbon (==1.2.0)", "decord (==0.6.0)", "flax (>=0.4.1,<=0.7.0)", "jax (>=0.4.1,<=0.4.13)", "jaxlib (>=0.4.1,<=0.4.13)", "kenlm", "keras-nlp (>=0.3.1)", "librosa", "onnxconverter-common", "optax (>=0.0.8,<=0.1.4)", "optuna", "phonemizer", "protobuf", "pyctcdecode (>=0.4.0)", "ray[tune] (>=2.7.0)", "sentencepiece (>=0.1.91,!=0.1.92)", "sigopt", "tensorflow (>=2.6,<2.16)", "tensorflow-text (<2.16)", "tf2onnx", "timm", "tokenizers (>=0.19,<0.20)", "torch", "torchaudio", "torchvision"] audio = ["kenlm", "librosa", "phonemizer", "pyctcdecode (>=0.4.0)"] codecarbon = ["codecarbon (==1.2.0)"] deepspeed = ["accelerate (>=0.21.0)", "deepspeed (>=0.9.3)"] deepspeed-testing = ["GitPython (<3.1.19)", "accelerate (>=0.21.0)", "beautifulsoup4", "cookiecutter (==1.7.3)", "datasets (!=2.5.0)", "deepspeed (>=0.9.3)", "dill (<0.3.5)", "evaluate (>=0.2.0)", "faiss-cpu", "hf-doc-builder (>=0.3.0)", "nltk", "optuna", "parameterized", "protobuf", "psutil", "pydantic", "pytest (>=7.2.0,<8.0.0)", "pytest-timeout", "pytest-xdist", "rjieba", "rouge-score (!=0.0.7,!=0.0.8,!=0.1,!=0.1.1)", "ruff (==0.1.5)", "sacrebleu (>=1.4.12,<2.0.0)", "sacremoses", "sentencepiece (>=0.1.91,!=0.1.92)", "tensorboard", "timeout-decorator"] -dev = ["GitPython (<3.1.19)", "Pillow (>=10.0.1,<=15.0)", "accelerate (>=0.21.0)", "av (==9.2.0)", "beautifulsoup4", "codecarbon (==1.2.0)", "cookiecutter (==1.7.3)", "datasets (!=2.5.0)", "decord (==0.6.0)", "dill (<0.3.5)", "evaluate (>=0.2.0)", "faiss-cpu", "flax (>=0.4.1,<=0.7.0)", "fugashi (>=1.0)", "hf-doc-builder", "hf-doc-builder (>=0.3.0)", "ipadic (>=1.0.0,<2.0)", "isort (>=5.5.4)", "jax (>=0.4.1,<=0.4.13)", "jaxlib (>=0.4.1,<=0.4.13)", "kenlm", "keras-nlp (>=0.3.1)", "librosa", "nltk", "onnxconverter-common", "optax (>=0.0.8,<=0.1.4)", "optuna", "parameterized", "phonemizer", "protobuf", "psutil", "pyctcdecode (>=0.4.0)", "pydantic", "pytest (>=7.2.0,<8.0.0)", "pytest-timeout", "pytest-xdist", "ray[tune] (>=2.7.0)", "rhoknp (>=1.1.0,<1.3.1)", "rjieba", "rouge-score (!=0.0.7,!=0.0.8,!=0.1,!=0.1.1)", "ruff (==0.1.5)", "sacrebleu (>=1.4.12,<2.0.0)", "sacremoses", "scikit-learn", "sentencepiece (>=0.1.91,!=0.1.92)", "sigopt", "sudachidict-core (>=20220729)", "sudachipy (>=0.6.6)", "tensorboard", "tensorflow (>=2.6,<2.16)", "tensorflow-text (<2.16)", "tf2onnx", "timeout-decorator", "timm", "tokenizers (>=0.14,<0.19)", "torch", "torchaudio", "torchvision", "unidic (>=1.0.2)", "unidic-lite (>=1.0.7)", "urllib3 (<2.0.0)"] -dev-tensorflow = ["GitPython (<3.1.19)", "Pillow (>=10.0.1,<=15.0)", "beautifulsoup4", "cookiecutter (==1.7.3)", "datasets (!=2.5.0)", "dill (<0.3.5)", "evaluate (>=0.2.0)", "faiss-cpu", "hf-doc-builder", "hf-doc-builder (>=0.3.0)", "isort (>=5.5.4)", "kenlm", "keras-nlp (>=0.3.1)", "librosa", "nltk", "onnxconverter-common", "onnxruntime (>=1.4.0)", "onnxruntime-tools (>=1.4.2)", "parameterized", "phonemizer", "protobuf", "psutil", "pyctcdecode (>=0.4.0)", "pydantic", "pytest (>=7.2.0,<8.0.0)", "pytest-timeout", "pytest-xdist", "rjieba", "rouge-score (!=0.0.7,!=0.0.8,!=0.1,!=0.1.1)", "ruff (==0.1.5)", "sacrebleu (>=1.4.12,<2.0.0)", "sacremoses", "scikit-learn", "sentencepiece (>=0.1.91,!=0.1.92)", "tensorboard", "tensorflow (>=2.6,<2.16)", "tensorflow-text (<2.16)", "tf2onnx", "timeout-decorator", "tokenizers (>=0.14,<0.19)", "urllib3 (<2.0.0)"] -dev-torch = ["GitPython (<3.1.19)", "Pillow (>=10.0.1,<=15.0)", "accelerate (>=0.21.0)", "beautifulsoup4", "codecarbon (==1.2.0)", "cookiecutter (==1.7.3)", "datasets (!=2.5.0)", "dill (<0.3.5)", "evaluate (>=0.2.0)", "faiss-cpu", "fugashi (>=1.0)", "hf-doc-builder", "hf-doc-builder (>=0.3.0)", "ipadic (>=1.0.0,<2.0)", "isort (>=5.5.4)", "kenlm", "librosa", "nltk", "onnxruntime (>=1.4.0)", "onnxruntime-tools (>=1.4.2)", "optuna", "parameterized", "phonemizer", "protobuf", "psutil", "pyctcdecode (>=0.4.0)", "pydantic", "pytest (>=7.2.0,<8.0.0)", "pytest-timeout", "pytest-xdist", "ray[tune] (>=2.7.0)", "rhoknp (>=1.1.0,<1.3.1)", "rjieba", "rouge-score (!=0.0.7,!=0.0.8,!=0.1,!=0.1.1)", "ruff (==0.1.5)", "sacrebleu (>=1.4.12,<2.0.0)", "sacremoses", "scikit-learn", "sentencepiece (>=0.1.91,!=0.1.92)", "sigopt", "sudachidict-core (>=20220729)", "sudachipy (>=0.6.6)", "tensorboard", "timeout-decorator", "timm", "tokenizers (>=0.14,<0.19)", "torch", "torchaudio", "torchvision", "unidic (>=1.0.2)", "unidic-lite (>=1.0.7)", "urllib3 (<2.0.0)"] -docs = ["Pillow (>=10.0.1,<=15.0)", "accelerate (>=0.21.0)", "av (==9.2.0)", "codecarbon (==1.2.0)", "decord (==0.6.0)", "flax (>=0.4.1,<=0.7.0)", "hf-doc-builder", "jax (>=0.4.1,<=0.4.13)", "jaxlib (>=0.4.1,<=0.4.13)", "kenlm", "keras-nlp (>=0.3.1)", "librosa", "onnxconverter-common", "optax (>=0.0.8,<=0.1.4)", "optuna", "phonemizer", "protobuf", "pyctcdecode (>=0.4.0)", "ray[tune] (>=2.7.0)", "sentencepiece (>=0.1.91,!=0.1.92)", "sigopt", "tensorflow (>=2.6,<2.16)", "tensorflow-text (<2.16)", "tf2onnx", "timm", "tokenizers (>=0.14,<0.19)", "torch", "torchaudio", "torchvision"] +dev = ["GitPython (<3.1.19)", "Pillow (>=10.0.1,<=15.0)", "accelerate (>=0.21.0)", "av (==9.2.0)", "beautifulsoup4", "codecarbon (==1.2.0)", "cookiecutter (==1.7.3)", "datasets (!=2.5.0)", "decord (==0.6.0)", "dill (<0.3.5)", "evaluate (>=0.2.0)", "faiss-cpu", "flax (>=0.4.1,<=0.7.0)", "fugashi (>=1.0)", "hf-doc-builder", "hf-doc-builder (>=0.3.0)", "ipadic (>=1.0.0,<2.0)", "isort (>=5.5.4)", "jax (>=0.4.1,<=0.4.13)", "jaxlib (>=0.4.1,<=0.4.13)", "kenlm", "keras-nlp (>=0.3.1)", "librosa", "nltk", "onnxconverter-common", "optax (>=0.0.8,<=0.1.4)", "optuna", "parameterized", "phonemizer", "protobuf", "psutil", "pyctcdecode (>=0.4.0)", "pydantic", "pytest (>=7.2.0,<8.0.0)", "pytest-timeout", "pytest-xdist", "ray[tune] (>=2.7.0)", "rhoknp (>=1.1.0,<1.3.1)", "rjieba", "rouge-score (!=0.0.7,!=0.0.8,!=0.1,!=0.1.1)", "ruff (==0.1.5)", "sacrebleu (>=1.4.12,<2.0.0)", "sacremoses", "scikit-learn", "sentencepiece (>=0.1.91,!=0.1.92)", "sigopt", "sudachidict-core (>=20220729)", "sudachipy (>=0.6.6)", "tensorboard", "tensorflow (>=2.6,<2.16)", "tensorflow-text (<2.16)", "tf2onnx", "timeout-decorator", "timm", "tokenizers (>=0.19,<0.20)", "torch", "torchaudio", "torchvision", "unidic (>=1.0.2)", "unidic-lite (>=1.0.7)", "urllib3 (<2.0.0)"] +dev-tensorflow = ["GitPython (<3.1.19)", "Pillow (>=10.0.1,<=15.0)", "beautifulsoup4", "cookiecutter (==1.7.3)", "datasets (!=2.5.0)", "dill (<0.3.5)", "evaluate (>=0.2.0)", "faiss-cpu", "hf-doc-builder", "hf-doc-builder (>=0.3.0)", "isort (>=5.5.4)", "kenlm", "keras-nlp (>=0.3.1)", "librosa", "nltk", "onnxconverter-common", "onnxruntime (>=1.4.0)", "onnxruntime-tools (>=1.4.2)", "parameterized", "phonemizer", "protobuf", "psutil", "pyctcdecode (>=0.4.0)", "pydantic", "pytest (>=7.2.0,<8.0.0)", "pytest-timeout", "pytest-xdist", "rjieba", "rouge-score (!=0.0.7,!=0.0.8,!=0.1,!=0.1.1)", "ruff (==0.1.5)", "sacrebleu (>=1.4.12,<2.0.0)", "sacremoses", "scikit-learn", "sentencepiece (>=0.1.91,!=0.1.92)", "tensorboard", "tensorflow (>=2.6,<2.16)", "tensorflow-text (<2.16)", "tf2onnx", "timeout-decorator", "tokenizers (>=0.19,<0.20)", "urllib3 (<2.0.0)"] +dev-torch = ["GitPython (<3.1.19)", "Pillow (>=10.0.1,<=15.0)", "accelerate (>=0.21.0)", "beautifulsoup4", "codecarbon (==1.2.0)", "cookiecutter (==1.7.3)", "datasets (!=2.5.0)", "dill (<0.3.5)", "evaluate (>=0.2.0)", "faiss-cpu", "fugashi (>=1.0)", "hf-doc-builder", "hf-doc-builder (>=0.3.0)", "ipadic (>=1.0.0,<2.0)", "isort (>=5.5.4)", "kenlm", "librosa", "nltk", "onnxruntime (>=1.4.0)", "onnxruntime-tools (>=1.4.2)", "optuna", "parameterized", "phonemizer", "protobuf", "psutil", "pyctcdecode (>=0.4.0)", "pydantic", "pytest (>=7.2.0,<8.0.0)", "pytest-timeout", "pytest-xdist", "ray[tune] (>=2.7.0)", "rhoknp (>=1.1.0,<1.3.1)", "rjieba", "rouge-score (!=0.0.7,!=0.0.8,!=0.1,!=0.1.1)", "ruff (==0.1.5)", "sacrebleu (>=1.4.12,<2.0.0)", "sacremoses", "scikit-learn", "sentencepiece (>=0.1.91,!=0.1.92)", "sigopt", "sudachidict-core (>=20220729)", "sudachipy (>=0.6.6)", "tensorboard", "timeout-decorator", "timm", "tokenizers (>=0.19,<0.20)", "torch", "torchaudio", "torchvision", "unidic (>=1.0.2)", "unidic-lite (>=1.0.7)", "urllib3 (<2.0.0)"] +docs = ["Pillow (>=10.0.1,<=15.0)", "accelerate (>=0.21.0)", "av (==9.2.0)", "codecarbon (==1.2.0)", "decord (==0.6.0)", "flax (>=0.4.1,<=0.7.0)", "hf-doc-builder", "jax (>=0.4.1,<=0.4.13)", "jaxlib (>=0.4.1,<=0.4.13)", "kenlm", "keras-nlp (>=0.3.1)", "librosa", "onnxconverter-common", "optax (>=0.0.8,<=0.1.4)", "optuna", "phonemizer", "protobuf", "pyctcdecode (>=0.4.0)", "ray[tune] (>=2.7.0)", "sentencepiece (>=0.1.91,!=0.1.92)", "sigopt", "tensorflow (>=2.6,<2.16)", "tensorflow-text (<2.16)", "tf2onnx", "timm", "tokenizers (>=0.19,<0.20)", "torch", "torchaudio", "torchvision"] docs-specific = ["hf-doc-builder"] flax = ["flax (>=0.4.1,<=0.7.0)", "jax (>=0.4.1,<=0.4.13)", "jaxlib (>=0.4.1,<=0.4.13)", "optax (>=0.0.8,<=0.1.4)"] flax-speech = ["kenlm", "librosa", "phonemizer", "pyctcdecode (>=0.4.0)"] @@ -8978,32 +9096,32 @@ serving = ["fastapi", "pydantic", "starlette", "uvicorn"] sigopt = ["sigopt"] sklearn = ["scikit-learn"] speech = ["kenlm", "librosa", "phonemizer", "pyctcdecode (>=0.4.0)", "torchaudio"] -testing = ["GitPython (<3.1.19)", "beautifulsoup4", "cookiecutter (==1.7.3)", "datasets (!=2.5.0)", "dill (<0.3.5)", "evaluate (>=0.2.0)", "faiss-cpu", "hf-doc-builder (>=0.3.0)", "nltk", "parameterized", "protobuf", "psutil", "pydantic", "pytest (>=7.2.0,<8.0.0)", "pytest-timeout", "pytest-xdist", "rjieba", "rouge-score (!=0.0.7,!=0.0.8,!=0.1,!=0.1.1)", "ruff (==0.1.5)", "sacrebleu (>=1.4.12,<2.0.0)", "sacremoses", "tensorboard", "timeout-decorator"] +testing = ["GitPython (<3.1.19)", "beautifulsoup4", "cookiecutter (==1.7.3)", "datasets (!=2.5.0)", "dill (<0.3.5)", "evaluate (>=0.2.0)", "faiss-cpu", "hf-doc-builder (>=0.3.0)", "nltk", "parameterized", "protobuf", "psutil", "pydantic", "pytest (>=7.2.0,<8.0.0)", "pytest-timeout", "pytest-xdist", "rjieba", "rouge-score (!=0.0.7,!=0.0.8,!=0.1,!=0.1.1)", "ruff (==0.1.5)", "sacrebleu (>=1.4.12,<2.0.0)", "sacremoses", "sentencepiece (>=0.1.91,!=0.1.92)", "tensorboard", "timeout-decorator"] tf = ["keras-nlp (>=0.3.1)", "onnxconverter-common", "tensorflow (>=2.6,<2.16)", "tensorflow-text (<2.16)", "tf2onnx"] tf-cpu = ["keras-nlp (>=0.3.1)", "onnxconverter-common", "tensorflow-cpu (>=2.6,<2.16)", "tensorflow-text (<2.16)", "tf2onnx"] tf-speech = ["kenlm", "librosa", "phonemizer", "pyctcdecode (>=0.4.0)"] timm = ["timm"] -tokenizers = ["tokenizers (>=0.14,<0.19)"] +tokenizers = ["tokenizers (>=0.19,<0.20)"] torch = ["accelerate (>=0.21.0)", "torch"] torch-speech = ["kenlm", "librosa", "phonemizer", "pyctcdecode (>=0.4.0)", "torchaudio"] torch-vision = ["Pillow (>=10.0.1,<=15.0)", "torchvision"] -torchhub = ["filelock", "huggingface-hub (>=0.19.3,<1.0)", "importlib-metadata", "numpy (>=1.17)", "packaging (>=20.0)", "protobuf", "regex (!=2019.12.17)", "requests", "sentencepiece (>=0.1.91,!=0.1.92)", "tokenizers (>=0.14,<0.19)", "torch", "tqdm (>=4.27)"] +torchhub = ["filelock", "huggingface-hub (>=0.19.3,<1.0)", "importlib-metadata", "numpy (>=1.17)", "packaging (>=20.0)", "protobuf", "regex (!=2019.12.17)", "requests", "sentencepiece (>=0.1.91,!=0.1.92)", "tokenizers (>=0.19,<0.20)", "torch", "tqdm (>=4.27)"] video = ["av (==9.2.0)", "decord (==0.6.0)"] vision = ["Pillow (>=10.0.1,<=15.0)"] [[package]] name = "triton" -version = "2.2.0" +version = "2.3.0" description = "A language and compiler for custom Deep Learning operations" optional = true python-versions = "*" files = [ - {file = "triton-2.2.0-cp310-cp310-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:a2294514340cfe4e8f4f9e5c66c702744c4a117d25e618bd08469d0bfed1e2e5"}, - {file = "triton-2.2.0-cp311-cp311-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:da58a152bddb62cafa9a857dd2bc1f886dbf9f9c90a2b5da82157cd2b34392b0"}, - {file = "triton-2.2.0-cp312-cp312-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:0af58716e721460a61886668b205963dc4d1e4ac20508cc3f623aef0d70283d5"}, - {file = "triton-2.2.0-cp37-cp37m-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:e8fe46d3ab94a8103e291bd44c741cc294b91d1d81c1a2888254cbf7ff846dab"}, - {file = "triton-2.2.0-cp38-cp38-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:b8ce26093e539d727e7cf6f6f0d932b1ab0574dc02567e684377630d86723ace"}, - {file = "triton-2.2.0-cp39-cp39-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:227cc6f357c5efcb357f3867ac2a8e7ecea2298cd4606a8ba1e931d1d5a947df"}, + {file = "triton-2.3.0-cp310-cp310-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:5ce4b8ff70c48e47274c66f269cce8861cf1dc347ceeb7a67414ca151b1822d8"}, + {file = "triton-2.3.0-cp311-cp311-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:3c3d9607f85103afdb279938fc1dd2a66e4f5999a58eb48a346bd42738f986dd"}, + {file = "triton-2.3.0-cp312-cp312-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:218d742e67480d9581bafb73ed598416cc8a56f6316152e5562ee65e33de01c0"}, + {file = "triton-2.3.0-cp37-cp37m-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:381ec6b3dac06922d3e4099cfc943ef032893b25415de295e82b1a82b0359d2c"}, + {file = "triton-2.3.0-cp38-cp38-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:038e06a09c06a164fef9c48de3af1e13a63dc1ba3c792871e61a8e79720ea440"}, + {file = "triton-2.3.0-cp39-cp39-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:6d8f636e0341ac348899a47a057c3daea99ea7db31528a225a3ba4ded28ccc65"}, ] [package.dependencies] @@ -9080,13 +9198,13 @@ files = [ [[package]] name = "types-pillow" -version = "10.2.0.20240415" +version = "10.2.0.20240520" description = "Typing stubs for Pillow" optional = false python-versions = ">=3.8" files = [ - {file = "types-Pillow-10.2.0.20240415.tar.gz", hash = "sha256:dd6058027639bcdc66ba78b228cc25fdae42524c2150c78c804da427e7e76e70"}, - {file = "types_Pillow-10.2.0.20240415-py3-none-any.whl", hash = "sha256:f933332b7e96010bae9b9cf82a4c9979ff0c270d63f5c5bbffb2d789b85cd00b"}, + {file = "types-Pillow-10.2.0.20240520.tar.gz", hash = "sha256:130b979195465fa1e1676d8e81c9c7c30319e8e95b12fae945e8f0d525213107"}, + {file = "types_Pillow-10.2.0.20240520-py3-none-any.whl", hash = "sha256:33c36494b380e2a269bb742181bea5d9b00820367822dbd3760f07210a1da23d"}, ] [[package]] @@ -9102,13 +9220,13 @@ files = [ [[package]] name = "types-pyopenssl" -version = "24.0.0.20240417" +version = "24.1.0.20240425" description = "Typing stubs for pyOpenSSL" optional = false python-versions = ">=3.8" files = [ - {file = "types-pyOpenSSL-24.0.0.20240417.tar.gz", hash = "sha256:38e75fb828d2717be173770bbae8c22811fdec68e2bc3f5833954113eb84237d"}, - {file = "types_pyOpenSSL-24.0.0.20240417-py3-none-any.whl", hash = "sha256:4ce41ddaf383815168b6e21d542fd92135f10a5e82adb3e593a6b79638b0b511"}, + {file = "types-pyOpenSSL-24.1.0.20240425.tar.gz", hash = "sha256:0a7e82626c1983dc8dc59292bf20654a51c3c3881bcbb9b337c1da6e32f0204e"}, + {file = "types_pyOpenSSL-24.1.0.20240425-py3-none-any.whl", hash = "sha256:f51a156835555dd2a1f025621e8c4fbe7493470331afeef96884d1d29bf3a473"}, ] [package.dependencies] @@ -9164,13 +9282,13 @@ files = [ [[package]] name = "types-redis" -version = "4.6.0.20240417" +version = "4.6.0.20240425" description = "Typing stubs for redis" optional = false python-versions = ">=3.8" files = [ - {file = "types-redis-4.6.0.20240417.tar.gz", hash = "sha256:8be4b3e5945120acdef0a2348c04be42894e84c6d616288b908a3d8ed5e89a8d"}, - {file = "types_redis-4.6.0.20240417-py3-none-any.whl", hash = "sha256:4c35cbd90ff18c8da6f97a05d2fe97eb3abfe09acf3a4357b6c5e2d4a59385a1"}, + {file = "types-redis-4.6.0.20240425.tar.gz", hash = "sha256:9402a10ee931d241fdfcc04592ebf7a661d7bb92a8dea631279f0d8acbcf3a22"}, + {file = "types_redis-4.6.0.20240425-py3-none-any.whl", hash = "sha256:ac5bc19e8f5997b9e76ad5d9cf15d0392d9f28cf5fc7746ea4a64b989c45c6a8"}, ] [package.dependencies] @@ -9179,13 +9297,13 @@ types-pyOpenSSL = "*" [[package]] name = "types-requests" -version = "2.31.0.20240406" +version = "2.32.0.20240523" description = "Typing stubs for requests" optional = false python-versions = ">=3.8" files = [ - {file = "types-requests-2.31.0.20240406.tar.gz", hash = "sha256:4428df33c5503945c74b3f42e82b181e86ec7b724620419a2966e2de604ce1a1"}, - {file = "types_requests-2.31.0.20240406-py3-none-any.whl", hash = "sha256:6216cdac377c6b9a040ac1c0404f7284bd13199c0e1bb235f4324627e8898cf5"}, + {file = "types-requests-2.32.0.20240523.tar.gz", hash = "sha256:26b8a6de32d9f561192b9942b41c0ab2d8010df5677ca8aa146289d11d505f57"}, + {file = "types_requests-2.32.0.20240523-py3-none-any.whl", hash = "sha256:f19ed0e2daa74302069bbbbf9e82902854ffa780bc790742a810a9aaa52f65ec"}, ] [package.dependencies] @@ -9193,13 +9311,13 @@ urllib3 = ">=2" [[package]] name = "types-setuptools" -version = "69.5.0.20240415" +version = "70.0.0.20240523" description = "Typing stubs for setuptools" optional = false python-versions = ">=3.8" files = [ - {file = "types-setuptools-69.5.0.20240415.tar.gz", hash = "sha256:ea64af0a96a674f8c40ba34c09c254f3c70bc3f218c6bffa1d0912bd91584a2f"}, - {file = "types_setuptools-69.5.0.20240415-py3-none-any.whl", hash = "sha256:637cdb24a0d48a6ab362c09cfe3b89ecaa1c10666a8ba9452924e9a0ae00fa4a"}, + {file = "types-setuptools-70.0.0.20240523.tar.gz", hash = "sha256:268c782f9d657bb0447a97bb9d50debd3a48721bb9d1d8194548d4835798beac"}, + {file = "types_setuptools-70.0.0.20240523-py3-none-any.whl", hash = "sha256:1828c1e2bc93cdb371fd0955fa51e27c3143490fe40a650db3fca22ea44233b3"}, ] [[package]] @@ -9239,221 +9357,93 @@ files = [ {file = "tzdata-2024.1.tar.gz", hash = "sha256:2674120f8d891909751c38abcdfd386ac0a5a1127954fbc332af6b5ceae07efd"}, ] -[[package]] -name = "tzlocal" -version = "5.2" -description = "tzinfo object for the local timezone" -optional = false -python-versions = ">=3.8" -files = [ - {file = "tzlocal-5.2-py3-none-any.whl", hash = "sha256:49816ef2fe65ea8ac19d19aa7a1ae0551c834303d5014c6d5a62e4cbda8047b8"}, - {file = "tzlocal-5.2.tar.gz", hash = "sha256:8d399205578f1a9342816409cc1e46a93ebd5755e39ea2d85334bea911bf0e6e"}, -] - -[package.dependencies] -tzdata = {version = "*", markers = "platform_system == \"Windows\""} - -[package.extras] -devenv = ["check-manifest", "pytest (>=4.3)", "pytest-cov", "pytest-mock (>=3.3)", "zest.releaser"] - [[package]] name = "ujson" -version = "5.9.0" +version = "5.10.0" description = "Ultra fast JSON encoder and decoder for Python" optional = false python-versions = ">=3.8" files = [ - {file = "ujson-5.9.0-cp310-cp310-macosx_10_9_x86_64.whl", hash = "sha256:ab71bf27b002eaf7d047c54a68e60230fbd5cd9da60de7ca0aa87d0bccead8fa"}, - {file = "ujson-5.9.0-cp310-cp310-macosx_11_0_arm64.whl", hash = "sha256:7a365eac66f5aa7a7fdf57e5066ada6226700884fc7dce2ba5483538bc16c8c5"}, - {file = "ujson-5.9.0-cp310-cp310-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:e015122b337858dba5a3dc3533af2a8fc0410ee9e2374092f6a5b88b182e9fcc"}, - {file = "ujson-5.9.0-cp310-cp310-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:779a2a88c53039bebfbccca934430dabb5c62cc179e09a9c27a322023f363e0d"}, - {file = "ujson-5.9.0-cp310-cp310-manylinux_2_5_i686.manylinux1_i686.manylinux_2_17_i686.manylinux2014_i686.whl", hash = "sha256:10ca3c41e80509fd9805f7c149068fa8dbee18872bbdc03d7cca928926a358d5"}, - {file = "ujson-5.9.0-cp310-cp310-musllinux_1_1_aarch64.whl", hash = "sha256:4a566e465cb2fcfdf040c2447b7dd9718799d0d90134b37a20dff1e27c0e9096"}, - {file = "ujson-5.9.0-cp310-cp310-musllinux_1_1_i686.whl", hash = "sha256:f833c529e922577226a05bc25b6a8b3eb6c4fb155b72dd88d33de99d53113124"}, - {file = "ujson-5.9.0-cp310-cp310-musllinux_1_1_x86_64.whl", hash = "sha256:b68a0caab33f359b4cbbc10065c88e3758c9f73a11a65a91f024b2e7a1257106"}, - {file = "ujson-5.9.0-cp310-cp310-win32.whl", hash = "sha256:7cc7e605d2aa6ae6b7321c3ae250d2e050f06082e71ab1a4200b4ae64d25863c"}, - {file = "ujson-5.9.0-cp310-cp310-win_amd64.whl", hash = "sha256:a6d3f10eb8ccba4316a6b5465b705ed70a06011c6f82418b59278fbc919bef6f"}, - {file = "ujson-5.9.0-cp311-cp311-macosx_10_9_x86_64.whl", hash = "sha256:3b23bbb46334ce51ddb5dded60c662fbf7bb74a37b8f87221c5b0fec1ec6454b"}, - {file = "ujson-5.9.0-cp311-cp311-macosx_11_0_arm64.whl", hash = "sha256:6974b3a7c17bbf829e6c3bfdc5823c67922e44ff169851a755eab79a3dd31ec0"}, - {file = "ujson-5.9.0-cp311-cp311-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:b5964ea916edfe24af1f4cc68488448fbb1ec27a3ddcddc2b236da575c12c8ae"}, - {file = "ujson-5.9.0-cp311-cp311-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:8ba7cac47dd65ff88571eceeff48bf30ed5eb9c67b34b88cb22869b7aa19600d"}, - {file = "ujson-5.9.0-cp311-cp311-manylinux_2_5_i686.manylinux1_i686.manylinux_2_17_i686.manylinux2014_i686.whl", hash = "sha256:6bbd91a151a8f3358c29355a491e915eb203f607267a25e6ab10531b3b157c5e"}, - {file = "ujson-5.9.0-cp311-cp311-musllinux_1_1_aarch64.whl", hash = "sha256:829a69d451a49c0de14a9fecb2a2d544a9b2c884c2b542adb243b683a6f15908"}, - {file = "ujson-5.9.0-cp311-cp311-musllinux_1_1_i686.whl", hash = "sha256:a807ae73c46ad5db161a7e883eec0fbe1bebc6a54890152ccc63072c4884823b"}, - {file = "ujson-5.9.0-cp311-cp311-musllinux_1_1_x86_64.whl", hash = "sha256:8fc2aa18b13d97b3c8ccecdf1a3c405f411a6e96adeee94233058c44ff92617d"}, - {file = "ujson-5.9.0-cp311-cp311-win32.whl", hash = "sha256:70e06849dfeb2548be48fdd3ceb53300640bc8100c379d6e19d78045e9c26120"}, - {file = "ujson-5.9.0-cp311-cp311-win_amd64.whl", hash = "sha256:7309d063cd392811acc49b5016728a5e1b46ab9907d321ebbe1c2156bc3c0b99"}, - {file = "ujson-5.9.0-cp312-cp312-macosx_10_9_x86_64.whl", hash = "sha256:20509a8c9f775b3a511e308bbe0b72897ba6b800767a7c90c5cca59d20d7c42c"}, - {file = "ujson-5.9.0-cp312-cp312-macosx_11_0_arm64.whl", hash = "sha256:b28407cfe315bd1b34f1ebe65d3bd735d6b36d409b334100be8cdffae2177b2f"}, - {file = "ujson-5.9.0-cp312-cp312-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:9d302bd17989b6bd90d49bade66943c78f9e3670407dbc53ebcf61271cadc399"}, - {file = "ujson-5.9.0-cp312-cp312-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:9f21315f51e0db8ee245e33a649dd2d9dce0594522de6f278d62f15f998e050e"}, - {file = "ujson-5.9.0-cp312-cp312-manylinux_2_5_i686.manylinux1_i686.manylinux_2_17_i686.manylinux2014_i686.whl", hash = "sha256:5635b78b636a54a86fdbf6f027e461aa6c6b948363bdf8d4fbb56a42b7388320"}, - {file = "ujson-5.9.0-cp312-cp312-musllinux_1_1_aarch64.whl", hash = "sha256:82b5a56609f1235d72835ee109163c7041b30920d70fe7dac9176c64df87c164"}, - {file = "ujson-5.9.0-cp312-cp312-musllinux_1_1_i686.whl", hash = "sha256:5ca35f484622fd208f55041b042d9d94f3b2c9c5add4e9af5ee9946d2d30db01"}, - {file = "ujson-5.9.0-cp312-cp312-musllinux_1_1_x86_64.whl", hash = "sha256:829b824953ebad76d46e4ae709e940bb229e8999e40881338b3cc94c771b876c"}, - {file = "ujson-5.9.0-cp312-cp312-win32.whl", hash = "sha256:25fa46e4ff0a2deecbcf7100af3a5d70090b461906f2299506485ff31d9ec437"}, - {file = "ujson-5.9.0-cp312-cp312-win_amd64.whl", hash = "sha256:60718f1720a61560618eff3b56fd517d107518d3c0160ca7a5a66ac949c6cf1c"}, - {file = "ujson-5.9.0-cp38-cp38-macosx_10_9_x86_64.whl", hash = "sha256:d581db9db9e41d8ea0b2705c90518ba623cbdc74f8d644d7eb0d107be0d85d9c"}, - {file = "ujson-5.9.0-cp38-cp38-macosx_11_0_arm64.whl", hash = "sha256:ff741a5b4be2d08fceaab681c9d4bc89abf3c9db600ab435e20b9b6d4dfef12e"}, - {file = "ujson-5.9.0-cp38-cp38-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:cdcb02cabcb1e44381221840a7af04433c1dc3297af76fde924a50c3054c708c"}, - {file = "ujson-5.9.0-cp38-cp38-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:e208d3bf02c6963e6ef7324dadf1d73239fb7008491fdf523208f60be6437402"}, - {file = "ujson-5.9.0-cp38-cp38-manylinux_2_5_i686.manylinux1_i686.manylinux_2_17_i686.manylinux2014_i686.whl", hash = "sha256:f4b3917296630a075e04d3d07601ce2a176479c23af838b6cf90a2d6b39b0d95"}, - {file = "ujson-5.9.0-cp38-cp38-musllinux_1_1_aarch64.whl", hash = "sha256:0c4d6adb2c7bb9eb7c71ad6f6f612e13b264942e841f8cc3314a21a289a76c4e"}, - {file = "ujson-5.9.0-cp38-cp38-musllinux_1_1_i686.whl", hash = "sha256:0b159efece9ab5c01f70b9d10bbb77241ce111a45bc8d21a44c219a2aec8ddfd"}, - {file = "ujson-5.9.0-cp38-cp38-musllinux_1_1_x86_64.whl", hash = "sha256:f0cb4a7814940ddd6619bdce6be637a4b37a8c4760de9373bac54bb7b229698b"}, - {file = "ujson-5.9.0-cp38-cp38-win32.whl", hash = "sha256:dc80f0f5abf33bd7099f7ac94ab1206730a3c0a2d17549911ed2cb6b7aa36d2d"}, - {file = "ujson-5.9.0-cp38-cp38-win_amd64.whl", hash = "sha256:506a45e5fcbb2d46f1a51fead991c39529fc3737c0f5d47c9b4a1d762578fc30"}, - {file = "ujson-5.9.0-cp39-cp39-macosx_10_9_x86_64.whl", hash = "sha256:d0fd2eba664a22447102062814bd13e63c6130540222c0aa620701dd01f4be81"}, - {file = "ujson-5.9.0-cp39-cp39-macosx_11_0_arm64.whl", hash = "sha256:bdf7fc21a03bafe4ba208dafa84ae38e04e5d36c0e1c746726edf5392e9f9f36"}, - {file = "ujson-5.9.0-cp39-cp39-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:e2f909bc08ce01f122fd9c24bc6f9876aa087188dfaf3c4116fe6e4daf7e194f"}, - {file = "ujson-5.9.0-cp39-cp39-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:bd4ea86c2afd41429751d22a3ccd03311c067bd6aeee2d054f83f97e41e11d8f"}, - {file = "ujson-5.9.0-cp39-cp39-manylinux_2_5_i686.manylinux1_i686.manylinux_2_17_i686.manylinux2014_i686.whl", hash = "sha256:63fb2e6599d96fdffdb553af0ed3f76b85fda63281063f1cb5b1141a6fcd0617"}, - {file = "ujson-5.9.0-cp39-cp39-musllinux_1_1_aarch64.whl", hash = "sha256:32bba5870c8fa2a97f4a68f6401038d3f1922e66c34280d710af00b14a3ca562"}, - {file = "ujson-5.9.0-cp39-cp39-musllinux_1_1_i686.whl", hash = "sha256:37ef92e42535a81bf72179d0e252c9af42a4ed966dc6be6967ebfb929a87bc60"}, - {file = "ujson-5.9.0-cp39-cp39-musllinux_1_1_x86_64.whl", hash = "sha256:f69f16b8f1c69da00e38dc5f2d08a86b0e781d0ad3e4cc6a13ea033a439c4844"}, - {file = "ujson-5.9.0-cp39-cp39-win32.whl", hash = "sha256:3382a3ce0ccc0558b1c1668950008cece9bf463ebb17463ebf6a8bfc060dae34"}, - {file = "ujson-5.9.0-cp39-cp39-win_amd64.whl", hash = "sha256:6adef377ed583477cf005b58c3025051b5faa6b8cc25876e594afbb772578f21"}, - {file = "ujson-5.9.0-pp310-pypy310_pp73-macosx_10_9_x86_64.whl", hash = "sha256:ffdfebd819f492e48e4f31c97cb593b9c1a8251933d8f8972e81697f00326ff1"}, - {file = "ujson-5.9.0-pp310-pypy310_pp73-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:c4eec2ddc046360d087cf35659c7ba0cbd101f32035e19047013162274e71fcf"}, - {file = "ujson-5.9.0-pp310-pypy310_pp73-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:2fbb90aa5c23cb3d4b803c12aa220d26778c31b6e4b7a13a1f49971f6c7d088e"}, - {file = "ujson-5.9.0-pp310-pypy310_pp73-manylinux_2_5_i686.manylinux1_i686.manylinux_2_17_i686.manylinux2014_i686.whl", hash = "sha256:ba0823cb70866f0d6a4ad48d998dd338dce7314598721bc1b7986d054d782dfd"}, - {file = "ujson-5.9.0-pp310-pypy310_pp73-win_amd64.whl", hash = "sha256:4e35d7885ed612feb6b3dd1b7de28e89baaba4011ecdf995e88be9ac614765e9"}, - {file = "ujson-5.9.0-pp38-pypy38_pp73-macosx_10_9_x86_64.whl", hash = "sha256:b048aa93eace8571eedbd67b3766623e7f0acbf08ee291bef7d8106210432427"}, - {file = "ujson-5.9.0-pp38-pypy38_pp73-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:323279e68c195110ef85cbe5edce885219e3d4a48705448720ad925d88c9f851"}, - {file = "ujson-5.9.0-pp38-pypy38_pp73-manylinux_2_5_i686.manylinux1_i686.manylinux_2_17_i686.manylinux2014_i686.whl", hash = "sha256:9ac92d86ff34296f881e12aa955f7014d276895e0e4e868ba7fddebbde38e378"}, - {file = "ujson-5.9.0-pp38-pypy38_pp73-win_amd64.whl", hash = "sha256:6eecbd09b316cea1fd929b1e25f70382917542ab11b692cb46ec9b0a26c7427f"}, - {file = "ujson-5.9.0-pp39-pypy39_pp73-macosx_10_9_x86_64.whl", hash = "sha256:473fb8dff1d58f49912323d7cb0859df5585cfc932e4b9c053bf8cf7f2d7c5c4"}, - {file = "ujson-5.9.0-pp39-pypy39_pp73-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:f91719c6abafe429c1a144cfe27883eace9fb1c09a9c5ef1bcb3ae80a3076a4e"}, - {file = "ujson-5.9.0-pp39-pypy39_pp73-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:7b1c0991c4fe256f5fdb19758f7eac7f47caac29a6c57d0de16a19048eb86bad"}, - {file = "ujson-5.9.0-pp39-pypy39_pp73-manylinux_2_5_i686.manylinux1_i686.manylinux_2_17_i686.manylinux2014_i686.whl", hash = "sha256:2a8ea0f55a1396708e564595aaa6696c0d8af532340f477162ff6927ecc46e21"}, - {file = "ujson-5.9.0-pp39-pypy39_pp73-win_amd64.whl", hash = "sha256:07e0cfdde5fd91f54cd2d7ffb3482c8ff1bf558abf32a8b953a5d169575ae1cd"}, - {file = "ujson-5.9.0.tar.gz", hash = "sha256:89cc92e73d5501b8a7f48575eeb14ad27156ad092c2e9fc7e3cf949f07e75532"}, + {file = "ujson-5.10.0-cp310-cp310-macosx_10_9_x86_64.whl", hash = "sha256:2601aa9ecdbee1118a1c2065323bda35e2c5a2cf0797ef4522d485f9d3ef65bd"}, + {file = "ujson-5.10.0-cp310-cp310-macosx_11_0_arm64.whl", hash = "sha256:348898dd702fc1c4f1051bc3aacbf894caa0927fe2c53e68679c073375f732cf"}, + {file = "ujson-5.10.0-cp310-cp310-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:22cffecf73391e8abd65ef5f4e4dd523162a3399d5e84faa6aebbf9583df86d6"}, + {file = "ujson-5.10.0-cp310-cp310-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:26b0e2d2366543c1bb4fbd457446f00b0187a2bddf93148ac2da07a53fe51569"}, + {file = "ujson-5.10.0-cp310-cp310-manylinux_2_5_i686.manylinux1_i686.manylinux_2_17_i686.manylinux2014_i686.whl", hash = "sha256:caf270c6dba1be7a41125cd1e4fc7ba384bf564650beef0df2dd21a00b7f5770"}, + {file = "ujson-5.10.0-cp310-cp310-musllinux_1_2_aarch64.whl", hash = "sha256:a245d59f2ffe750446292b0094244df163c3dc96b3ce152a2c837a44e7cda9d1"}, + {file = "ujson-5.10.0-cp310-cp310-musllinux_1_2_i686.whl", hash = "sha256:94a87f6e151c5f483d7d54ceef83b45d3a9cca7a9cb453dbdbb3f5a6f64033f5"}, + {file = "ujson-5.10.0-cp310-cp310-musllinux_1_2_x86_64.whl", hash = "sha256:29b443c4c0a113bcbb792c88bea67b675c7ca3ca80c3474784e08bba01c18d51"}, + {file = "ujson-5.10.0-cp310-cp310-win32.whl", hash = "sha256:c18610b9ccd2874950faf474692deee4223a994251bc0a083c114671b64e6518"}, + {file = "ujson-5.10.0-cp310-cp310-win_amd64.whl", hash = "sha256:924f7318c31874d6bb44d9ee1900167ca32aa9b69389b98ecbde34c1698a250f"}, + {file = "ujson-5.10.0-cp311-cp311-macosx_10_9_x86_64.whl", hash = "sha256:a5b366812c90e69d0f379a53648be10a5db38f9d4ad212b60af00bd4048d0f00"}, + {file = "ujson-5.10.0-cp311-cp311-macosx_11_0_arm64.whl", hash = "sha256:502bf475781e8167f0f9d0e41cd32879d120a524b22358e7f205294224c71126"}, + {file = "ujson-5.10.0-cp311-cp311-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:5b91b5d0d9d283e085e821651184a647699430705b15bf274c7896f23fe9c9d8"}, + {file = "ujson-5.10.0-cp311-cp311-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:129e39af3a6d85b9c26d5577169c21d53821d8cf68e079060602e861c6e5da1b"}, + {file = "ujson-5.10.0-cp311-cp311-manylinux_2_5_i686.manylinux1_i686.manylinux_2_17_i686.manylinux2014_i686.whl", hash = "sha256:f77b74475c462cb8b88680471193064d3e715c7c6074b1c8c412cb526466efe9"}, + {file = "ujson-5.10.0-cp311-cp311-musllinux_1_2_aarch64.whl", hash = "sha256:7ec0ca8c415e81aa4123501fee7f761abf4b7f386aad348501a26940beb1860f"}, + {file = "ujson-5.10.0-cp311-cp311-musllinux_1_2_i686.whl", hash = "sha256:ab13a2a9e0b2865a6c6db9271f4b46af1c7476bfd51af1f64585e919b7c07fd4"}, + {file = "ujson-5.10.0-cp311-cp311-musllinux_1_2_x86_64.whl", hash = "sha256:57aaf98b92d72fc70886b5a0e1a1ca52c2320377360341715dd3933a18e827b1"}, + {file = "ujson-5.10.0-cp311-cp311-win32.whl", hash = "sha256:2987713a490ceb27edff77fb184ed09acdc565db700ee852823c3dc3cffe455f"}, + {file = "ujson-5.10.0-cp311-cp311-win_amd64.whl", hash = "sha256:f00ea7e00447918ee0eff2422c4add4c5752b1b60e88fcb3c067d4a21049a720"}, + {file = "ujson-5.10.0-cp312-cp312-macosx_10_9_x86_64.whl", hash = "sha256:98ba15d8cbc481ce55695beee9f063189dce91a4b08bc1d03e7f0152cd4bbdd5"}, + {file = "ujson-5.10.0-cp312-cp312-macosx_11_0_arm64.whl", hash = "sha256:a9d2edbf1556e4f56e50fab7d8ff993dbad7f54bac68eacdd27a8f55f433578e"}, + {file = "ujson-5.10.0-cp312-cp312-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:6627029ae4f52d0e1a2451768c2c37c0c814ffc04f796eb36244cf16b8e57043"}, + {file = "ujson-5.10.0-cp312-cp312-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:f8ccb77b3e40b151e20519c6ae6d89bfe3f4c14e8e210d910287f778368bb3d1"}, + {file = "ujson-5.10.0-cp312-cp312-manylinux_2_5_i686.manylinux1_i686.manylinux_2_17_i686.manylinux2014_i686.whl", hash = "sha256:f3caf9cd64abfeb11a3b661329085c5e167abbe15256b3b68cb5d914ba7396f3"}, + {file = "ujson-5.10.0-cp312-cp312-musllinux_1_2_aarch64.whl", hash = "sha256:6e32abdce572e3a8c3d02c886c704a38a1b015a1fb858004e03d20ca7cecbb21"}, + {file = "ujson-5.10.0-cp312-cp312-musllinux_1_2_i686.whl", hash = "sha256:a65b6af4d903103ee7b6f4f5b85f1bfd0c90ba4eeac6421aae436c9988aa64a2"}, + {file = "ujson-5.10.0-cp312-cp312-musllinux_1_2_x86_64.whl", hash = "sha256:604a046d966457b6cdcacc5aa2ec5314f0e8c42bae52842c1e6fa02ea4bda42e"}, + {file = "ujson-5.10.0-cp312-cp312-win32.whl", hash = "sha256:6dea1c8b4fc921bf78a8ff00bbd2bfe166345f5536c510671bccececb187c80e"}, + {file = "ujson-5.10.0-cp312-cp312-win_amd64.whl", hash = "sha256:38665e7d8290188b1e0d57d584eb8110951a9591363316dd41cf8686ab1d0abc"}, + {file = "ujson-5.10.0-cp313-cp313-macosx_10_9_x86_64.whl", hash = "sha256:618efd84dc1acbd6bff8eaa736bb6c074bfa8b8a98f55b61c38d4ca2c1f7f287"}, + {file = "ujson-5.10.0-cp313-cp313-macosx_11_0_arm64.whl", hash = "sha256:38d5d36b4aedfe81dfe251f76c0467399d575d1395a1755de391e58985ab1c2e"}, + {file = "ujson-5.10.0-cp313-cp313-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:67079b1f9fb29ed9a2914acf4ef6c02844b3153913eb735d4bf287ee1db6e557"}, + {file = "ujson-5.10.0-cp313-cp313-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:d7d0e0ceeb8fe2468c70ec0c37b439dd554e2aa539a8a56365fd761edb418988"}, + {file = "ujson-5.10.0-cp313-cp313-manylinux_2_5_i686.manylinux1_i686.manylinux_2_17_i686.manylinux2014_i686.whl", hash = "sha256:59e02cd37bc7c44d587a0ba45347cc815fb7a5fe48de16bf05caa5f7d0d2e816"}, + {file = "ujson-5.10.0-cp313-cp313-musllinux_1_2_aarch64.whl", hash = "sha256:2a890b706b64e0065f02577bf6d8ca3b66c11a5e81fb75d757233a38c07a1f20"}, + {file = "ujson-5.10.0-cp313-cp313-musllinux_1_2_i686.whl", hash = "sha256:621e34b4632c740ecb491efc7f1fcb4f74b48ddb55e65221995e74e2d00bbff0"}, + {file = "ujson-5.10.0-cp313-cp313-musllinux_1_2_x86_64.whl", hash = "sha256:b9500e61fce0cfc86168b248104e954fead61f9be213087153d272e817ec7b4f"}, + {file = "ujson-5.10.0-cp313-cp313-win32.whl", hash = "sha256:4c4fc16f11ac1612f05b6f5781b384716719547e142cfd67b65d035bd85af165"}, + {file = "ujson-5.10.0-cp313-cp313-win_amd64.whl", hash = "sha256:4573fd1695932d4f619928fd09d5d03d917274381649ade4328091ceca175539"}, + {file = "ujson-5.10.0-cp38-cp38-macosx_10_9_x86_64.whl", hash = "sha256:a984a3131da7f07563057db1c3020b1350a3e27a8ec46ccbfbf21e5928a43050"}, + {file = "ujson-5.10.0-cp38-cp38-macosx_11_0_arm64.whl", hash = "sha256:73814cd1b9db6fc3270e9d8fe3b19f9f89e78ee9d71e8bd6c9a626aeaeaf16bd"}, + {file = "ujson-5.10.0-cp38-cp38-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:61e1591ed9376e5eddda202ec229eddc56c612b61ac6ad07f96b91460bb6c2fb"}, + {file = "ujson-5.10.0-cp38-cp38-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:d2c75269f8205b2690db4572a4a36fe47cd1338e4368bc73a7a0e48789e2e35a"}, + {file = "ujson-5.10.0-cp38-cp38-manylinux_2_5_i686.manylinux1_i686.manylinux_2_17_i686.manylinux2014_i686.whl", hash = "sha256:7223f41e5bf1f919cd8d073e35b229295aa8e0f7b5de07ed1c8fddac63a6bc5d"}, + {file = "ujson-5.10.0-cp38-cp38-musllinux_1_2_aarch64.whl", hash = "sha256:d4dc2fd6b3067c0782e7002ac3b38cf48608ee6366ff176bbd02cf969c9c20fe"}, + {file = "ujson-5.10.0-cp38-cp38-musllinux_1_2_i686.whl", hash = "sha256:232cc85f8ee3c454c115455195a205074a56ff42608fd6b942aa4c378ac14dd7"}, + {file = "ujson-5.10.0-cp38-cp38-musllinux_1_2_x86_64.whl", hash = "sha256:cc6139531f13148055d691e442e4bc6601f6dba1e6d521b1585d4788ab0bfad4"}, + {file = "ujson-5.10.0-cp38-cp38-win32.whl", hash = "sha256:e7ce306a42b6b93ca47ac4a3b96683ca554f6d35dd8adc5acfcd55096c8dfcb8"}, + {file = "ujson-5.10.0-cp38-cp38-win_amd64.whl", hash = "sha256:e82d4bb2138ab05e18f089a83b6564fee28048771eb63cdecf4b9b549de8a2cc"}, + {file = "ujson-5.10.0-cp39-cp39-macosx_10_9_x86_64.whl", hash = "sha256:dfef2814c6b3291c3c5f10065f745a1307d86019dbd7ea50e83504950136ed5b"}, + {file = "ujson-5.10.0-cp39-cp39-macosx_11_0_arm64.whl", hash = "sha256:4734ee0745d5928d0ba3a213647f1c4a74a2a28edc6d27b2d6d5bd9fa4319e27"}, + {file = "ujson-5.10.0-cp39-cp39-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:d47ebb01bd865fdea43da56254a3930a413f0c5590372a1241514abae8aa7c76"}, + {file = "ujson-5.10.0-cp39-cp39-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:dee5e97c2496874acbf1d3e37b521dd1f307349ed955e62d1d2f05382bc36dd5"}, + {file = "ujson-5.10.0-cp39-cp39-manylinux_2_5_i686.manylinux1_i686.manylinux_2_17_i686.manylinux2014_i686.whl", hash = "sha256:7490655a2272a2d0b072ef16b0b58ee462f4973a8f6bbe64917ce5e0a256f9c0"}, + {file = "ujson-5.10.0-cp39-cp39-musllinux_1_2_aarch64.whl", hash = "sha256:ba17799fcddaddf5c1f75a4ba3fd6441f6a4f1e9173f8a786b42450851bd74f1"}, + {file = "ujson-5.10.0-cp39-cp39-musllinux_1_2_i686.whl", hash = "sha256:2aff2985cef314f21d0fecc56027505804bc78802c0121343874741650a4d3d1"}, + {file = "ujson-5.10.0-cp39-cp39-musllinux_1_2_x86_64.whl", hash = "sha256:ad88ac75c432674d05b61184178635d44901eb749786c8eb08c102330e6e8996"}, + {file = "ujson-5.10.0-cp39-cp39-win32.whl", hash = "sha256:2544912a71da4ff8c4f7ab5606f947d7299971bdd25a45e008e467ca638d13c9"}, + {file = "ujson-5.10.0-cp39-cp39-win_amd64.whl", hash = "sha256:3ff201d62b1b177a46f113bb43ad300b424b7847f9c5d38b1b4ad8f75d4a282a"}, + {file = "ujson-5.10.0-pp310-pypy310_pp73-macosx_10_9_x86_64.whl", hash = "sha256:5b6fee72fa77dc172a28f21693f64d93166534c263adb3f96c413ccc85ef6e64"}, + {file = "ujson-5.10.0-pp310-pypy310_pp73-macosx_11_0_arm64.whl", hash = "sha256:61d0af13a9af01d9f26d2331ce49bb5ac1fb9c814964018ac8df605b5422dcb3"}, + {file = "ujson-5.10.0-pp310-pypy310_pp73-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:ecb24f0bdd899d368b715c9e6664166cf694d1e57be73f17759573a6986dd95a"}, + {file = "ujson-5.10.0-pp310-pypy310_pp73-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:fbd8fd427f57a03cff3ad6574b5e299131585d9727c8c366da4624a9069ed746"}, + {file = "ujson-5.10.0-pp310-pypy310_pp73-manylinux_2_5_i686.manylinux1_i686.manylinux_2_17_i686.manylinux2014_i686.whl", hash = "sha256:beeaf1c48e32f07d8820c705ff8e645f8afa690cca1544adba4ebfa067efdc88"}, + {file = "ujson-5.10.0-pp310-pypy310_pp73-win_amd64.whl", hash = "sha256:baed37ea46d756aca2955e99525cc02d9181de67f25515c468856c38d52b5f3b"}, + {file = "ujson-5.10.0-pp38-pypy38_pp73-macosx_10_9_x86_64.whl", hash = "sha256:7663960f08cd5a2bb152f5ee3992e1af7690a64c0e26d31ba7b3ff5b2ee66337"}, + {file = "ujson-5.10.0-pp38-pypy38_pp73-macosx_11_0_arm64.whl", hash = "sha256:d8640fb4072d36b08e95a3a380ba65779d356b2fee8696afeb7794cf0902d0a1"}, + {file = "ujson-5.10.0-pp38-pypy38_pp73-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:78778a3aa7aafb11e7ddca4e29f46bc5139131037ad628cc10936764282d6753"}, + {file = "ujson-5.10.0-pp38-pypy38_pp73-manylinux_2_5_i686.manylinux1_i686.manylinux_2_17_i686.manylinux2014_i686.whl", hash = "sha256:b0111b27f2d5c820e7f2dbad7d48e3338c824e7ac4d2a12da3dc6061cc39c8e6"}, + {file = "ujson-5.10.0-pp38-pypy38_pp73-win_amd64.whl", hash = "sha256:c66962ca7565605b355a9ed478292da628b8f18c0f2793021ca4425abf8b01e5"}, + {file = "ujson-5.10.0-pp39-pypy39_pp73-macosx_10_9_x86_64.whl", hash = "sha256:ba43cc34cce49cf2d4bc76401a754a81202d8aa926d0e2b79f0ee258cb15d3a4"}, + {file = "ujson-5.10.0-pp39-pypy39_pp73-macosx_11_0_arm64.whl", hash = "sha256:ac56eb983edce27e7f51d05bc8dd820586c6e6be1c5216a6809b0c668bb312b8"}, + {file = "ujson-5.10.0-pp39-pypy39_pp73-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:f44bd4b23a0e723bf8b10628288c2c7c335161d6840013d4d5de20e48551773b"}, + {file = "ujson-5.10.0-pp39-pypy39_pp73-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:7c10f4654e5326ec14a46bcdeb2b685d4ada6911050aa8baaf3501e57024b804"}, + {file = "ujson-5.10.0-pp39-pypy39_pp73-manylinux_2_5_i686.manylinux1_i686.manylinux_2_17_i686.manylinux2014_i686.whl", hash = "sha256:0de4971a89a762398006e844ae394bd46991f7c385d7a6a3b93ba229e6dac17e"}, + {file = "ujson-5.10.0-pp39-pypy39_pp73-win_amd64.whl", hash = "sha256:e1402f0564a97d2a52310ae10a64d25bcef94f8dd643fcf5d310219d915484f7"}, + {file = "ujson-5.10.0.tar.gz", hash = "sha256:b3cd8f3c5d8c7738257f1018880444f7b7d9b66232c64649f562d7ba86ad4bc1"}, ] -[[package]] -name = "unstructured" -version = "0.12.5" -description = "A library that prepares raw documents for downstream ML tasks." -optional = false -python-versions = ">=3.9.0,<3.12" -files = [ - {file = "unstructured-0.12.5-py3-none-any.whl", hash = "sha256:cce7de36964f556810adb8728d0639d8e9b3ef4567443877609f3c66a54e24d1"}, - {file = "unstructured-0.12.5.tar.gz", hash = "sha256:5ea6c881049e7d98a88c07192bcb6ab750de41b4e3b594972ed1034bda99dbae"}, -] - -[package.dependencies] -backoff = "*" -beautifulsoup4 = "*" -chardet = "*" -dataclasses-json = "*" -emoji = "*" -filetype = "*" -langdetect = "*" -lxml = "*" -markdown = {version = "*", optional = true, markers = "extra == \"md\""} -nltk = "*" -numpy = "*" -python-iso639 = "*" -python-magic = "*" -rapidfuzz = "*" -requests = "*" -tabulate = "*" -typing-extensions = "*" -unstructured-client = ">=0.15.1" -wrapt = "*" - -[package.extras] -airtable = ["pyairtable"] -all-docs = ["markdown", "msg-parser", "networkx", "onnx", "openpyxl", "pandas", "pdf2image", "pdfminer.six", "pikepdf", "pillow-heif", "pypandoc", "pypdf", "python-docx", "python-pptx (<=0.6.23)", "unstructured-inference (==0.7.23)", "unstructured.pytesseract (>=0.3.12)", "xlrd"] -astra = ["astrapy"] -azure = ["adlfs", "fsspec"] -azure-cognitive-search = ["azure-search-documents"] -bedrock = ["boto3", "langchain-community"] -biomed = ["bs4"] -box = ["boxfs", "fsspec"] -chroma = ["chromadb"] -confluence = ["atlassian-python-api"] -csv = ["pandas"] -databricks-volumes = ["databricks-sdk"] -delta-table = ["deltalake", "fsspec"] -discord = ["discord-py"] -doc = ["python-docx"] -docx = ["python-docx"] -dropbox = ["dropboxdrivefs", "fsspec"] -elasticsearch = ["elasticsearch"] -embed-huggingface = ["huggingface", "langchain-community", "sentence-transformers"] -epub = ["pypandoc"] -gcs = ["bs4", "fsspec", "gcsfs"] -github = ["pygithub (>1.58.0)"] -gitlab = ["python-gitlab"] -google-drive = ["google-api-python-client"] -hubspot = ["hubspot-api-client", "urllib3"] -huggingface = ["langdetect", "sacremoses", "sentencepiece", "torch", "transformers"] -image = ["onnx", "pdf2image", "pdfminer.six", "pikepdf", "pillow-heif", "pypdf", "unstructured-inference (==0.7.23)", "unstructured.pytesseract (>=0.3.12)"] -jira = ["atlassian-python-api"] -local-inference = ["markdown", "msg-parser", "networkx", "onnx", "openpyxl", "pandas", "pdf2image", "pdfminer.six", "pikepdf", "pillow-heif", "pypandoc", "pypdf", "python-docx", "python-pptx (<=0.6.23)", "unstructured-inference (==0.7.23)", "unstructured.pytesseract (>=0.3.12)", "xlrd"] -md = ["markdown"] -mongodb = ["pymongo"] -msg = ["msg-parser"] -notion = ["htmlBuilder", "notion-client"] -odt = ["pypandoc", "python-docx"] -onedrive = ["Office365-REST-Python-Client", "bs4", "msal"] -openai = ["langchain-community", "openai", "tiktoken"] -opensearch = ["opensearch-py"] -org = ["pypandoc"] -outlook = ["Office365-REST-Python-Client", "msal"] -paddleocr = ["unstructured.paddleocr (==2.6.1.3)"] -pdf = ["onnx", "pdf2image", "pdfminer.six", "pikepdf", "pillow-heif", "pypdf", "unstructured-inference (==0.7.23)", "unstructured.pytesseract (>=0.3.12)"] -pinecone = ["pinecone-client (==2.2.4)"] -postgres = ["psycopg2-binary"] -ppt = ["python-pptx (<=0.6.23)"] -pptx = ["python-pptx (<=0.6.23)"] -qdrant = ["qdrant-client"] -reddit = ["praw"] -rst = ["pypandoc"] -rtf = ["pypandoc"] -s3 = ["fsspec", "s3fs"] -salesforce = ["simple-salesforce"] -sftp = ["fsspec", "paramiko"] -sharepoint = ["Office365-REST-Python-Client", "msal"] -slack = ["slack-sdk"] -tsv = ["pandas"] -weaviate = ["weaviate-client"] -wikipedia = ["wikipedia"] -xlsx = ["networkx", "openpyxl", "pandas", "xlrd"] - -[[package]] -name = "unstructured-client" -version = "0.22.0" -description = "Python Client SDK for Unstructured API" -optional = false -python-versions = ">=3.8" -files = [ - {file = "unstructured-client-0.22.0.tar.gz", hash = "sha256:d76351c456fcf4067f59135c09a35008a120103621a1ac94cf9448db28ef2e1e"}, - {file = "unstructured_client-0.22.0-py3-none-any.whl", hash = "sha256:140f7dd8515cc9be3276f66d6fb08d235ea35a50d4eb38a6ef82b60fc3d2fea0"}, -] - -[package.dependencies] -certifi = ">=2023.7.22" -charset-normalizer = ">=3.2.0" -dataclasses-json = ">=0.6.4" -deepdiff = ">=6.0" -idna = ">=3.4" -jsonpath-python = ">=1.0.6" -marshmallow = ">=3.19.0" -mypy-extensions = ">=1.0.0" -packaging = ">=23.1" -pypdf = ">=4.0" -python-dateutil = ">=2.8.2" -requests = ">=2.31.0" -six = ">=1.16.0" -typing-extensions = ">=4.7.1" -typing-inspect = ">=0.9.0" -urllib3 = ">=1.26.18" - -[package.extras] -dev = ["pylint (==2.16.2)"] - [[package]] name = "uritemplate" version = "4.1.1" @@ -9554,26 +9544,15 @@ test = ["Cython (>=0.29.36,<0.30.0)", "aiohttp (==3.9.0b0)", "aiohttp (>=3.8.1)" [[package]] name = "validators" -version = "0.22.0" +version = "0.28.1" description = "Python Data Validation for Humans™" optional = false python-versions = ">=3.8" files = [ - {file = "validators-0.22.0-py3-none-any.whl", hash = "sha256:61cf7d4a62bbae559f2e54aed3b000cea9ff3e2fdbe463f51179b92c58c9585a"}, - {file = "validators-0.22.0.tar.gz", hash = "sha256:77b2689b172eeeb600d9605ab86194641670cdb73b60afd577142a9397873370"}, + {file = "validators-0.28.1-py3-none-any.whl", hash = "sha256:890c98789ad884037f059af6ea915ec2d667129d509180c2c590b8009a4c4219"}, + {file = "validators-0.28.1.tar.gz", hash = "sha256:5ac88e7916c3405f0ce38ac2ac82a477fcf4d90dbbeddd04c8193171fc17f7dc"}, ] -[package.extras] -docs-offline = ["myst-parser (>=2.0.0)", "pypandoc-binary (>=1.11)", "sphinx (>=7.1.1)"] -docs-online = ["mkdocs (>=1.5.2)", "mkdocs-git-revision-date-localized-plugin (>=1.2.0)", "mkdocs-material (>=9.2.6)", "mkdocstrings[python] (>=0.22.0)", "pyaml (>=23.7.0)"] -hooks = ["pre-commit (>=3.3.3)"] -package = ["build (>=1.0.0)", "twine (>=4.0.2)"] -runner = ["tox (>=4.11.1)"] -sast = ["bandit[toml] (>=1.7.5)"] -testing = ["pytest (>=7.4.0)"] -tooling = ["black (>=23.7.0)", "pyright (>=1.1.325)", "ruff (>=0.0.287)"] -tooling-extras = ["pyaml (>=23.7.0)", "pypandoc-binary (>=1.11)", "pytest (>=7.4.0)"] - [[package]] name = "vine" version = "5.1.0" @@ -9585,6 +9564,26 @@ files = [ {file = "vine-5.1.0.tar.gz", hash = "sha256:8b62e981d35c41049211cf62a0a1242d8c1ee9bd15bb196ce38aefd6799e61e0"}, ] +[[package]] +name = "virtualenv" +version = "20.26.2" +description = "Virtual Python Environment builder" +optional = false +python-versions = ">=3.7" +files = [ + {file = "virtualenv-20.26.2-py3-none-any.whl", hash = "sha256:a624db5e94f01ad993d476b9ee5346fdf7b9de43ccaee0e0197012dc838a0e9b"}, + {file = "virtualenv-20.26.2.tar.gz", hash = "sha256:82bf0f4eebbb78d36ddaee0283d43fe5736b53880b8a8cdcd37390a07ac3741c"}, +] + +[package.dependencies] +distlib = ">=0.3.7,<1" +filelock = ">=3.12.2,<4" +platformdirs = ">=3.9.1,<5" + +[package.extras] +docs = ["furo (>=2023.7.26)", "proselint (>=0.13)", "sphinx (>=7.1.2,!=7.3)", "sphinx-argparse (>=0.4)", "sphinxcontrib-towncrier (>=0.2.1a0)", "towncrier (>=23.6)"] +test = ["covdefaults (>=2.3)", "coverage (>=7.2.7)", "coverage-enable-subprocess (>=1)", "flaky (>=3.7)", "packaging (>=23.1)", "pytest (>=7.4)", "pytest-env (>=0.8.2)", "pytest-freezer (>=0.4.8)", "pytest-mock (>=3.11.1)", "pytest-randomly (>=3.12)", "pytest-timeout (>=2.1)", "setuptools (>=68)", "time-machine (>=2.10)"] + [[package]] name = "watchfiles" version = "0.21.0" @@ -9685,13 +9684,13 @@ files = [ [[package]] name = "weaviate-client" -version = "4.5.5" +version = "4.6.3" description = "A python native Weaviate client" optional = false python-versions = ">=3.8" files = [ - {file = "weaviate-client-4.5.5.tar.gz", hash = "sha256:69906588e8eda0a307ad2c5b3c7c7e0ae4b9d80202a5cc97bdd2af15293977e3"}, - {file = "weaviate_client-4.5.5-py3-none-any.whl", hash = "sha256:70cbd139f8a230723eb2400b8a3fb495055ae8c0897bd837ab58994924de0413"}, + {file = "weaviate_client-4.6.3-py3-none-any.whl", hash = "sha256:b2921f9aea84a4eccb1c75d55dd2857a87241e5536540fb96ffdf4737ed4fe8a"}, + {file = "weaviate_client-4.6.3.tar.gz", hash = "sha256:a6e638f746f91c310fe6680cffa77949718f17d8b40b966f7037028cacfd94e0"}, ] [package.dependencies] @@ -9699,24 +9698,24 @@ authlib = ">=1.2.1,<2.0.0" grpcio = ">=1.57.0,<2.0.0" grpcio-health-checking = ">=1.57.0,<2.0.0" grpcio-tools = ">=1.57.0,<2.0.0" -httpx = "0.27.0" +httpx = ">=0.25.0,<=0.27.0" pydantic = ">=2.5.0,<3.0.0" requests = ">=2.30.0,<3.0.0" -validators = "0.22.0" +validators = "0.28.1" [[package]] name = "websocket-client" -version = "1.7.0" +version = "1.8.0" description = "WebSocket client for Python with low level API options" optional = false python-versions = ">=3.8" files = [ - {file = "websocket-client-1.7.0.tar.gz", hash = "sha256:10e511ea3a8c744631d3bd77e61eb17ed09304c413ad42cf6ddfa4c7787e8fe6"}, - {file = "websocket_client-1.7.0-py3-none-any.whl", hash = "sha256:f4c3d22fec12a2461427a29957ff07d35098ee2d976d3ba244e688b8b4057588"}, + {file = "websocket_client-1.8.0-py3-none-any.whl", hash = "sha256:17b44cc997f5c498e809b22cdf2d9c7a9e71c02c8cc2b6c56e7c2d1239bfa526"}, + {file = "websocket_client-1.8.0.tar.gz", hash = "sha256:3239df9f44da632f96012472805d40a23281a991027ce11d2f45a6f24ac4c3da"}, ] [package.extras] -docs = ["Sphinx (>=6.0)", "sphinx-rtd-theme (>=1.1.0)"] +docs = ["Sphinx (>=6.0)", "myst-parser (>=2.0.0)", "sphinx-rtd-theme (>=1.1.0)"] optional = ["python-socks", "wsaccel"] test = ["websockets"] @@ -9803,13 +9802,13 @@ files = [ [[package]] name = "werkzeug" -version = "3.0.2" +version = "3.0.3" description = "The comprehensive WSGI web application library." optional = false python-versions = ">=3.8" files = [ - {file = "werkzeug-3.0.2-py3-none-any.whl", hash = "sha256:3aac3f5da756f93030740bc235d3e09449efcf65f2f55e3602e1d851b8f48795"}, - {file = "werkzeug-3.0.2.tar.gz", hash = "sha256:e39b645a6ac92822588e7b39a692e7828724ceae0b0d702ef96701f90e70128d"}, + {file = "werkzeug-3.0.3-py3-none-any.whl", hash = "sha256:fc9645dc43e03e4d630d23143a04a7f947a9a3b5727cd535fdfe155a17cc48c8"}, + {file = "werkzeug-3.0.3.tar.gz", hash = "sha256:097e5bfda9f0aba8da6b8545146def481d06aa7d3266e7448e2cccf67dd8bd18"}, ] [package.dependencies] @@ -9832,16 +9831,6 @@ files = [ beautifulsoup4 = "*" requests = ">=2.0.0,<3.0.0" -[[package]] -name = "win-unicode-console" -version = "0.5" -description = "Enable Unicode input and display when running Python from Windows console." -optional = false -python-versions = "*" -files = [ - {file = "win_unicode_console-0.5.zip", hash = "sha256:d4142d4d56d46f449d6f00536a73625a871cba040f0bc1a2e305a04578f07d1e"}, -] - [[package]] name = "win32-setctime" version = "1.1.0" @@ -10169,20 +10158,35 @@ files = [ idna = ">=2.0" multidict = ">=4.0" +[[package]] +name = "zep-python" +version = "2.0.0rc6" +description = "Long-Term Memory for AI Assistants. This is the Python client for the Zep service." +optional = false +python-versions = "<4,>=3.9.0" +files = [ + {file = "zep_python-2.0.0rc6-py3-none-any.whl", hash = "sha256:2719e06897957facd4e5edbf89706c01d3c68b0c0543bbe24da56a57bff99d68"}, + {file = "zep_python-2.0.0rc6.tar.gz", hash = "sha256:27a6632068c5ae6bac30d0626d49f8f5e5bc2a3922557ce11bf8df006ca071f4"}, +] + +[package.dependencies] +httpx = ">=0.24.0,<0.29.0" +pydantic = ">=2.0.0" + [[package]] name = "zipp" -version = "3.18.1" +version = "3.18.2" description = "Backport of pathlib-compatible object wrapper for zip files" optional = false python-versions = ">=3.8" files = [ - {file = "zipp-3.18.1-py3-none-any.whl", hash = "sha256:206f5a15f2af3dbaee80769fb7dc6f249695e940acca08dfb2a4769fe61e538b"}, - {file = "zipp-3.18.1.tar.gz", hash = "sha256:2884ed22e7d8961de1c9a05142eb69a247f120291bc0206a00a7642f09b5b715"}, + {file = "zipp-3.18.2-py3-none-any.whl", hash = "sha256:dce197b859eb796242b0622af1b8beb0a722d52aa2f57133ead08edd5bf5374e"}, + {file = "zipp-3.18.2.tar.gz", hash = "sha256:6278d9ddbcfb1f1089a88fde84481528b07b0e10474e09dcfe53dad4069fa059"}, ] [package.extras] docs = ["furo", "jaraco.packaging (>=9.3)", "jaraco.tidelift (>=1.4)", "rst.linker (>=1.9)", "sphinx (>=3.5)", "sphinx-lint"] -testing = ["big-O", "jaraco.functools", "jaraco.itertools", "more-itertools", "pytest (>=6)", "pytest-checkdocs (>=2.4)", "pytest-cov", "pytest-enabler (>=2.2)", "pytest-ignore-flaky", "pytest-mypy", "pytest-ruff (>=0.2.1)"] +testing = ["big-O", "jaraco.functools", "jaraco.itertools", "jaraco.test", "more-itertools", "pytest (>=6,!=8.1.*)", "pytest-checkdocs (>=2.4)", "pytest-cov", "pytest-enabler (>=2.2)", "pytest-ignore-flaky", "pytest-mypy", "pytest-ruff (>=0.2.1)"] [[package]] name = "zope-event" @@ -10204,54 +10208,48 @@ test = ["zope.testrunner"] [[package]] name = "zope-interface" -version = "6.3" +version = "6.4.post1" description = "Interfaces for Python" optional = false python-versions = ">=3.7" files = [ - {file = "zope.interface-6.3-cp310-cp310-macosx_10_9_x86_64.whl", hash = "sha256:2f32010ffb87759c6a3ad1c65ed4d2e38e51f6b430a1ca11cee901ec2b42e021"}, - {file = "zope.interface-6.3-cp310-cp310-macosx_11_0_arm64.whl", hash = "sha256:e78a183a3c2f555c2ad6aaa1ab572d1c435ba42f1dc3a7e8c82982306a19b785"}, - {file = "zope.interface-6.3-cp310-cp310-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:afa0491a9f154cf8519a02026dc85a416192f4cb1efbbf32db4a173ba28b289a"}, - {file = "zope.interface-6.3-cp310-cp310-manylinux_2_5_i686.manylinux1_i686.manylinux_2_17_i686.manylinux2014_i686.whl", hash = "sha256:62e32f02b3f26204d9c02c3539c802afc3eefb19d601a0987836ed126efb1f21"}, - {file = "zope.interface-6.3-cp310-cp310-manylinux_2_5_x86_64.manylinux1_x86_64.manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:c40df4aea777be321b7e68facb901bc67317e94b65d9ab20fb96e0eb3c0b60a1"}, - {file = "zope.interface-6.3-cp310-cp310-win_amd64.whl", hash = "sha256:46034be614d1f75f06e7dcfefba21d609b16b38c21fc912b01a99cb29e58febb"}, - {file = "zope.interface-6.3-cp311-cp311-macosx_10_9_x86_64.whl", hash = "sha256:600101f43a7582d5b9504a7c629a1185a849ce65e60fca0f6968dfc4b76b6d39"}, - {file = "zope.interface-6.3-cp311-cp311-macosx_11_0_arm64.whl", hash = "sha256:4d6b229f5e1a6375f206455cc0a63a8e502ed190fe7eb15e94a312dc69d40299"}, - {file = "zope.interface-6.3-cp311-cp311-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:10cde8dc6b2fd6a1d0b5ca4be820063e46ddba417ab82bcf55afe2227337b130"}, - {file = "zope.interface-6.3-cp311-cp311-manylinux_2_5_i686.manylinux1_i686.manylinux_2_17_i686.manylinux2014_i686.whl", hash = "sha256:40aa8c8e964d47d713b226c5baf5f13cdf3a3169c7a2653163b17ff2e2334d10"}, - {file = "zope.interface-6.3-cp311-cp311-manylinux_2_5_x86_64.manylinux1_x86_64.manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:d165d7774d558ea971cb867739fb334faf68fc4756a784e689e11efa3becd59e"}, - {file = "zope.interface-6.3-cp311-cp311-win_amd64.whl", hash = "sha256:69dedb790530c7ca5345899a1b4cb837cc53ba669051ea51e8c18f82f9389061"}, - {file = "zope.interface-6.3-cp312-cp312-macosx_10_9_x86_64.whl", hash = "sha256:8d407e0fd8015f6d5dfad481309638e1968d70e6644e0753f229154667dd6cd5"}, - {file = "zope.interface-6.3-cp312-cp312-macosx_11_0_arm64.whl", hash = "sha256:72d5efecad16c619a97744a4f0b67ce1bcc88115aa82fcf1dc5be9bb403bcc0b"}, - {file = "zope.interface-6.3-cp312-cp312-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:567d54c06306f9c5b6826190628d66753b9f2b0422f4c02d7c6d2b97ebf0a24e"}, - {file = "zope.interface-6.3-cp312-cp312-manylinux_2_5_i686.manylinux1_i686.manylinux_2_17_i686.manylinux2014_i686.whl", hash = "sha256:483e118b1e075f1819b3c6ace082b9d7d3a6a5eb14b2b375f1b80a0868117920"}, - {file = "zope.interface-6.3-cp312-cp312-manylinux_2_5_x86_64.manylinux1_x86_64.manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:2bb78c12c1ad3a20c0d981a043d133299117b6854f2e14893b156979ed4e1d2c"}, - {file = "zope.interface-6.3-cp312-cp312-win_amd64.whl", hash = "sha256:ad4524289d8dbd6fb5aa17aedb18f5643e7d48358f42c007a5ee51a2afc2a7c5"}, - {file = "zope.interface-6.3-cp37-cp37m-macosx_11_0_x86_64.whl", hash = "sha256:a56fe1261230093bfeedc1c1a6cd6f3ec568f9b07f031c9a09f46b201f793a85"}, - {file = "zope.interface-6.3-cp37-cp37m-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:014bb94fe6bf1786da1aa044eadf65bc6437bcb81c451592987e5be91e70a91e"}, - {file = "zope.interface-6.3-cp37-cp37m-manylinux_2_5_i686.manylinux1_i686.manylinux_2_17_i686.manylinux2014_i686.whl", hash = "sha256:22e8a218e8e2d87d4d9342aa973b7915297a08efbebea5b25900c73e78ed468e"}, - {file = "zope.interface-6.3-cp37-cp37m-manylinux_2_5_x86_64.manylinux1_x86_64.manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:f95bebd0afe86b2adc074df29edb6848fc4d474ff24075e2c263d698774e108d"}, - {file = "zope.interface-6.3-cp37-cp37m-win_amd64.whl", hash = "sha256:d0e7321557c702bd92dac3c66a2f22b963155fdb4600133b6b29597f62b71b12"}, - {file = "zope.interface-6.3-cp38-cp38-macosx_10_9_x86_64.whl", hash = "sha256:187f7900b63845dcdef1be320a523dbbdba94d89cae570edc2781eb55f8c2f86"}, - {file = "zope.interface-6.3-cp38-cp38-macosx_11_0_arm64.whl", hash = "sha256:a058e6cf8d68a5a19cb5449f42a404f0d6c2778b897e6ce8fadda9cea308b1b0"}, - {file = "zope.interface-6.3-cp38-cp38-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:e8fa0fb05083a1a4216b4b881fdefa71c5d9a106e9b094cd4399af6b52873e91"}, - {file = "zope.interface-6.3-cp38-cp38-manylinux_2_5_i686.manylinux1_i686.manylinux_2_17_i686.manylinux2014_i686.whl", hash = "sha256:26c9a37fb395a703e39b11b00b9e921c48f82b6e32cc5851ad5d0618cd8876b5"}, - {file = "zope.interface-6.3-cp38-cp38-manylinux_2_5_x86_64.manylinux1_x86_64.manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:1b0c4c90e5eefca2c3e045d9f9ed9f1e2cdbe70eb906bff6b247e17119ad89a1"}, - {file = "zope.interface-6.3-cp38-cp38-win_amd64.whl", hash = "sha256:5683aa8f2639016fd2b421df44301f10820e28a9b96382a6e438e5c6427253af"}, - {file = "zope.interface-6.3-cp39-cp39-macosx_10_9_x86_64.whl", hash = "sha256:2c3cfb272bcb83650e6695d49ae0d14dd06dc694789a3d929f23758557a23d92"}, - {file = "zope.interface-6.3-cp39-cp39-macosx_11_0_arm64.whl", hash = "sha256:01a0b3dd012f584afcf03ed814bce0fc40ed10e47396578621509ac031be98bf"}, - {file = "zope.interface-6.3-cp39-cp39-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:4137025731e824eee8d263b20682b28a0bdc0508de9c11d6c6be54163e5b7c83"}, - {file = "zope.interface-6.3-cp39-cp39-manylinux_2_5_i686.manylinux1_i686.manylinux_2_17_i686.manylinux2014_i686.whl", hash = "sha256:3c8731596198198746f7ce2a4487a0edcbc9ea5e5918f0ab23c4859bce56055c"}, - {file = "zope.interface-6.3-cp39-cp39-manylinux_2_5_x86_64.manylinux1_x86_64.manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:bf34840e102d1d0b2d39b1465918d90b312b1119552cebb61a242c42079817b9"}, - {file = "zope.interface-6.3-cp39-cp39-win_amd64.whl", hash = "sha256:a1adc14a2a9d5e95f76df625a9b39f4709267a483962a572e3f3001ef90ea6e6"}, - {file = "zope.interface-6.3.tar.gz", hash = "sha256:f83d6b4b22262d9a826c3bd4b2fbfafe1d0000f085ef8e44cd1328eea274ae6a"}, + {file = "zope.interface-6.4.post1-cp310-cp310-macosx_10_9_x86_64.whl", hash = "sha256:16f73c42f10f761051157332943ee1f7cf973cc1c78a50d1960c313a211cca4a"}, + {file = "zope.interface-6.4.post1-cp310-cp310-macosx_11_0_arm64.whl", hash = "sha256:3ca89624d0eabc7ce4f299c6d621531cb8b0ebac3bb4f9ebf2d057477602e1b8"}, + {file = "zope.interface-6.4.post1-cp310-cp310-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:de6eaa0b7df493904d24050dcdc3db6589bd94f7e49caab57971fe47a669b3ea"}, + {file = "zope.interface-6.4.post1-cp310-cp310-manylinux_2_5_i686.manylinux1_i686.manylinux_2_17_i686.manylinux2014_i686.whl", hash = "sha256:a45a7990d143acc37faa905d4a528f5923a5dd30f46536977d8061d10a895b09"}, + {file = "zope.interface-6.4.post1-cp310-cp310-manylinux_2_5_x86_64.manylinux1_x86_64.manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:dcefd4012593ee410ebf5728ee98f61b3401f0563c5068e760aa2b7720ca68a0"}, + {file = "zope.interface-6.4.post1-cp311-cp311-macosx_10_9_x86_64.whl", hash = "sha256:36234d3b8211d053c42684666c2a04eb1a35e0cec6bc3e54586bb60fb0be3b17"}, + {file = "zope.interface-6.4.post1-cp311-cp311-macosx_11_0_arm64.whl", hash = "sha256:7c18218451823ca9b5131ceaacf655fe9dd4e592ebf848cb0a65fe8428bbf604"}, + {file = "zope.interface-6.4.post1-cp311-cp311-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:563a7192a5baf8d9b189dc598c3555e695e00fdce3eafb88b30d6d3df986fcc5"}, + {file = "zope.interface-6.4.post1-cp311-cp311-manylinux_2_5_i686.manylinux1_i686.manylinux_2_17_i686.manylinux2014_i686.whl", hash = "sha256:cd3ab863a4e7d888728c949ba052a649664dea156bdd7140eb9269bbe6e33205"}, + {file = "zope.interface-6.4.post1-cp311-cp311-manylinux_2_5_x86_64.manylinux1_x86_64.manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:52901ff6d75a4332457610cbd2883f39b386c5bebe0745ecf78e3fe22cfdd0d9"}, + {file = "zope.interface-6.4.post1-cp312-cp312-macosx_10_9_x86_64.whl", hash = "sha256:799743a342249c9b9529abd1115a3f81754800e75dea254b58efdd2984009798"}, + {file = "zope.interface-6.4.post1-cp312-cp312-macosx_11_0_arm64.whl", hash = "sha256:15fa208d7a802c0dd3e9d4d5336619a37efd57f2d2ce830d9f9d5843a2b7daba"}, + {file = "zope.interface-6.4.post1-cp312-cp312-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:d91698257850ca5f523a5513a69775e6fb7c18129311e118996f8e9b463d11b0"}, + {file = "zope.interface-6.4.post1-cp312-cp312-manylinux_2_5_i686.manylinux1_i686.manylinux_2_17_i686.manylinux2014_i686.whl", hash = "sha256:45fb6fe8b5852564e63d6705a7904530a7c886056e6e9aaf938dc5e2bc637097"}, + {file = "zope.interface-6.4.post1-cp312-cp312-manylinux_2_5_x86_64.manylinux1_x86_64.manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:ec57dec41c0c8b723dd70da1864d50908c689e1c9cf43f32e9b04c0992e5d93d"}, + {file = "zope.interface-6.4.post1-cp313-cp313-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:de6c1dad571276768fd6bc92999e8d942151552662a9048e3384cac05b148985"}, + {file = "zope.interface-6.4.post1-cp313-cp313-manylinux_2_5_i686.manylinux1_i686.manylinux_2_17_i686.manylinux2014_i686.whl", hash = "sha256:aaa1f8967c3f272de80c4bec4b1379f97cd29006323f50558bd2f780a4f637ef"}, + {file = "zope.interface-6.4.post1-cp313-cp313-manylinux_2_5_x86_64.manylinux1_x86_64.manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:8140cf2665c5a07adc285bc859fdda67cfbd7edd62480dfca2211f4798502b54"}, + {file = "zope.interface-6.4.post1-cp37-cp37m-macosx_11_0_x86_64.whl", hash = "sha256:18f4061c3456c61557e9d7068e435f5db164b38f15f3d9bd995ff185c6db2c62"}, + {file = "zope.interface-6.4.post1-cp38-cp38-macosx_10_9_x86_64.whl", hash = "sha256:a430d2cc52aef2af0dc45866852730fbc93463cf8cdeb179e8ee04440e0955c4"}, + {file = "zope.interface-6.4.post1-cp38-cp38-macosx_11_0_arm64.whl", hash = "sha256:065f8ff0e034e43b8da05ffed308a9e3311720a2b13b83724f26a8dd6709964d"}, + {file = "zope.interface-6.4.post1-cp38-cp38-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:0940b3b44b6cc0375ea0da5fefee05a9abe8bb53594a3a6e4aafb9f99dc5de8d"}, + {file = "zope.interface-6.4.post1-cp38-cp38-manylinux_2_5_i686.manylinux1_i686.manylinux_2_17_i686.manylinux2014_i686.whl", hash = "sha256:e7d200aef16e577682dd54a79ff5f4f897a9807722b54bd8a9bca404679c609d"}, + {file = "zope.interface-6.4.post1-cp38-cp38-manylinux_2_5_x86_64.manylinux1_x86_64.manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:1e0678885d07e865047e15be3ebe5c87903cc7f5ca5edfd0045d1c7b43f7fe9d"}, + {file = "zope.interface-6.4.post1-cp39-cp39-macosx_10_9_x86_64.whl", hash = "sha256:bf9fa875a9bae5318f24b0d9ab9e2c8a23bccad2979e9e4305eed8119bbe3195"}, + {file = "zope.interface-6.4.post1-cp39-cp39-macosx_11_0_arm64.whl", hash = "sha256:68b13ac49becfaba5b77359559812daac0c5c4b3c0d43cdb293a2dec8db95c24"}, + {file = "zope.interface-6.4.post1-cp39-cp39-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:3a00983c5c793b17b829020e11032dabab023c4e0ef12f134b90df802ae5adf2"}, + {file = "zope.interface-6.4.post1-cp39-cp39-manylinux_2_5_i686.manylinux1_i686.manylinux_2_17_i686.manylinux2014_i686.whl", hash = "sha256:ada5ac54ac7d34bb33423da40b7f3edfc54c6b9623ac9daac7f456dbf25173ba"}, + {file = "zope.interface-6.4.post1-cp39-cp39-manylinux_2_5_x86_64.manylinux1_x86_64.manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:297ee171f40f8f18665bb75f576df7d1ddce19f3e6696ef6acb930dcbfbf693f"}, + {file = "zope.interface-6.4.post1.tar.gz", hash = "sha256:e9961413091e3c9d5c3ed671757049cc6153280f39a154a0b633608efcfdec6b"}, ] [package.dependencies] setuptools = "*" [package.extras] -docs = ["Sphinx", "repoze.sphinx.autointerface", "sphinx-rtd-theme"] +docs = ["Sphinx", "repoze.sphinx.autointerface", "sphinx_rtd_theme"] test = ["coverage (>=5.0.3)", "zope.event", "zope.testing"] testing = ["coverage (>=5.0.3)", "zope.event", "zope.testing"] @@ -10261,5 +10259,5 @@ local = ["ctransformers", "llama-cpp-python", "sentence-transformers"] [metadata] lock-version = "2.0" -python-versions = ">=3.10,<3.12" -content-hash = "9dd152b30031767c522c77e2ad5fc4597a8d1590b13968af143bd382e056b2a1" +python-versions = ">=3.10,<3.13" +content-hash = "9406313d19280623987bf2ee831626bc79ec0abf0ec1fe547df89bc9b1b93b0d" diff --git a/pyproject.toml b/pyproject.toml index fd629cc9f..cc7198812 100644 --- a/pyproject.toml +++ b/pyproject.toml @@ -1,6 +1,6 @@ [tool.poetry] name = "langflow" -version = "1.0.0a24" +version = "1.0.0a36" description = "A Python package with a built-in web application" authors = ["Langflow "] maintainers = [ @@ -25,7 +25,7 @@ langflow = "langflow.__main__:main" [tool.poetry.dependencies] -python = ">=3.10,<3.12" +python = ">=3.10,<3.13" langflow-base = { path = "./src/backend/base", develop = true } beautifulsoup4 = "^4.12.2" google-search-results = "^2.4.1" @@ -33,7 +33,6 @@ google-api-python-client = "^2.118.0" huggingface-hub = { version = "^0.20.0", extras = ["inference"] } llama-cpp-python = { version = "~0.2.0", optional = true } networkx = "^3.1" -pysrt = "^1.1.2" fake-useragent = "^1.4.0" psycopg2-binary = "^2.9.6" pyarrow = "^14.0.0" @@ -60,7 +59,6 @@ pywin32 = { version = "^306", markers = "sys_platform == 'win32'" } langfuse = "^2.9.0" metal-sdk = "^2.5.0" markupsafe = "^2.1.3" -extract-msg = "^0.47.0" # jq is not available for windows boto3 = "^1.34.0" numexpr = "^2.8.6" @@ -72,15 +70,21 @@ langchain-cohere = "^0.1.0rc1" elasticsearch = "^8.12.0" pytube = "^15.0.0" llama-index = "^0.10.13" -unstructured = { extras = ["md"], version = "^0.12.4" } +# unstructured = { extras = ["md"], version = "^0.12.4" } dspy-ai = "^2.4.0" -html2text = "^2024.2.26" assemblyai = "^0.23.1" litellm = "^1.34.22" chromadb = "^0.4.24" langchain-anthropic = "^0.1.6" langchain-astradb = "^0.1.0" langchain-openai = "^0.1.1" +zep-python = { version = "^2.0.0rc5", allow-prereleases = true } +langchain-google-vertexai = "^1.0.3" +langchain-groq = "^0.1.3" +langchain-pinecone = "^0.1.0" +langchain-mistralai = "^0.1.6" +couchbase = "^4.2.1" + [tool.poetry.group.dev.dependencies] types-redis = "^4.6.0.5" @@ -107,6 +111,7 @@ respx = "^0.21.1" pytest-instafail = "^0.5.0" pytest-asyncio = "^0.23.0" pytest-profiling = "^1.7.0" +pre-commit = "^3.7.0" [tool.poetry.extras] deploy = ["celery", "redis", "flower"] diff --git a/scripts/aws/lib/construct/db.ts b/scripts/aws/lib/construct/db.ts index 34cb8a482..255ec663c 100644 --- a/scripts/aws/lib/construct/db.ts +++ b/scripts/aws/lib/construct/db.ts @@ -1,65 +1,85 @@ -import { Construct } from 'constructs'; -import * as ec2 from 'aws-cdk-lib/aws-ec2' +import { Construct } from "constructs"; +import * as ec2 from "aws-cdk-lib/aws-ec2"; import * as rds from "aws-cdk-lib/aws-rds"; -import * as cdk from 'aws-cdk-lib'; +import * as cdk from "aws-cdk-lib"; interface RdsProps { - vpc: ec2.Vpc - dbSG:ec2.SecurityGroup + vpc: ec2.Vpc; + dbSG: ec2.SecurityGroup; } -export class Rds extends Construct{ - readonly rdsCluster: rds.DatabaseCluster +export class Rds extends Construct { + readonly rdsCluster: rds.DatabaseCluster; - constructor(scope: Construct, id:string, props: RdsProps){ + constructor(scope: Construct, id: string, props: RdsProps) { super(scope, id); - const {vpc, dbSG} = props - const instanceType = ec2.InstanceType.of(ec2.InstanceClass.BURSTABLE4_GRAVITON, ec2.InstanceSize.MEDIUM) + const { vpc, dbSG } = props; + const instanceType = ec2.InstanceType.of( + ec2.InstanceClass.BURSTABLE4_GRAVITON, + ec2.InstanceSize.MEDIUM, + ); // RDSのパスワードを自動生成してSecrets Managerに格納 - const rdsCredentials = rds.Credentials.fromGeneratedSecret('db_user',{ - secretName: 'langflow-DbSecret', - }) - + const rdsCredentials = rds.Credentials.fromGeneratedSecret("db_user", { + secretName: "langflow-DbSecret", + }); + // DB クラスターのパラメータグループ作成 - const clusterParameterGroup = new rds.ParameterGroup(scope, 'ClusterParameterGroup',{ - engine: rds.DatabaseClusterEngine.auroraMysql({ - version: rds.AuroraMysqlEngineVersion.VER_3_02_0 - }), - description: 'for-langflow', - }) - clusterParameterGroup.bindToCluster({}) + const clusterParameterGroup = new rds.ParameterGroup( + scope, + "ClusterParameterGroup", + { + engine: rds.DatabaseClusterEngine.auroraMysql({ + version: rds.AuroraMysqlEngineVersion.of( + "8.0.mysql_aurora.3.05.2", + "8.0", + ), + }), + description: "for-langflow", + }, + ); + clusterParameterGroup.bindToCluster({}); // DB インスタンスのパラメタグループ作成 - const instanceParameterGroup = new rds.ParameterGroup(scope, 'InstanceParameterGroup',{ - engine: rds.DatabaseClusterEngine.auroraMysql({ - version: rds.AuroraMysqlEngineVersion.VER_3_02_0, - }), - description: 'for-langflow', - }) - instanceParameterGroup.bindToInstance({}) + const instanceParameterGroup = new rds.ParameterGroup( + scope, + "InstanceParameterGroup", + { + engine: rds.DatabaseClusterEngine.auroraMysql({ + version: rds.AuroraMysqlEngineVersion.of( + "8.0.mysql_aurora.3.05.2", + "8.0", + ), + }), + description: "for-langflow", + }, + ); + instanceParameterGroup.bindToInstance({}); - this.rdsCluster = new rds.DatabaseCluster(scope, 'LangflowDbCluster', { + this.rdsCluster = new rds.DatabaseCluster(scope, "LangflowDbCluster", { engine: rds.DatabaseClusterEngine.auroraMysql({ - version: rds.AuroraMysqlEngineVersion.VER_3_02_0, + version: rds.AuroraMysqlEngineVersion.of( + "8.0.mysql_aurora.3.05.2", + "8.0", + ), }), storageEncrypted: true, credentials: rdsCredentials, - instanceIdentifierBase: 'langflow-instance', - vpc:vpc, - vpcSubnets:vpc.selectSubnets({ - subnetGroupName: 'langflow-Isolated', + instanceIdentifierBase: "langflow-instance", + vpc: vpc, + vpcSubnets: vpc.selectSubnets({ + subnetGroupName: "langflow-Isolated", }), - securityGroups:[dbSG], + securityGroups: [dbSG], writer: rds.ClusterInstance.provisioned("WriterInstance", { instanceType: instanceType, enablePerformanceInsights: true, - parameterGroup:instanceParameterGroup, + parameterGroup: instanceParameterGroup, }), - // 2台目以降はreaders:で設定 + // 2台目以降はreaders:で設定 parameterGroup: clusterParameterGroup, - defaultDatabaseName: 'langflow', - }) + defaultDatabaseName: "langflow", + }); } } diff --git a/scripts/aws/package-lock.json b/scripts/aws/package-lock.json index 4deefa752..c1be6a071 100644 --- a/scripts/aws/package-lock.json +++ b/scripts/aws/package-lock.json @@ -8,35 +8,35 @@ "name": "cdk", "version": "0.1.0", "dependencies": { - "@aws-solutions-constructs/aws-cloudfront-s3": "^2.49.0", - "aws-cdk-lib": "^2.124.0", - "cdk-ecr-deployment": "^2.5.30", - "constructs": "^10.0.0", - "deploy-time-build": "^0.3.12", - "dotenv": "^16.3.1", + "@aws-solutions-constructs/aws-cloudfront-s3": "^2.57.0", + "aws-cdk-lib": "^2.141.0", + "cdk-ecr-deployment": "^3.0.55", + "constructs": "^10.3.0", + "deploy-time-build": "^0.3.21", + "dotenv": "^16.4.5", "source-map-support": "^0.5.21" }, "bin": { "cdk": "bin/cdk.js" }, "devDependencies": { - "@types/jest": "^29.5.1", - "@types/node": "20.1.7", - "aws-cdk": "^2.86.0", - "jest": "^29.5.0", - "ts-jest": "^29.1.0", - "ts-node": "^10.9.1", - "typescript": "~5.1.3" + "@types/jest": "^29.5.12", + "@types/node": "^20.12.12", + "aws-cdk": "^2.141.0", + "jest": "^29.7.0", + "ts-jest": "^29.1.2", + "ts-node": "^10.9.2", + "typescript": "^5.4.5" } }, "node_modules/@ampproject/remapping": { - "version": "2.2.1", - "resolved": "https://registry.npmjs.org/@ampproject/remapping/-/remapping-2.2.1.tgz", - "integrity": "sha512-lFMjJTrFL3j7L9yBxwYfCq2k6qqwHyzuUl/XBnif78PWTJYyL/dfowQHWE3sp6U6ZzqWiiIZnpTMO96zhkjwtg==", + "version": "2.3.0", + "resolved": "https://registry.npmjs.org/@ampproject/remapping/-/remapping-2.3.0.tgz", + "integrity": "sha512-30iZtAPgz+LTIYoeivqYo853f02jBYSd5uGnGpkFV0M3xOt9aN73erkgYAmZU43x4VfqcnLxW9Kpg3R5LC4YYw==", "dev": true, "dependencies": { - "@jridgewell/gen-mapping": "^0.3.0", - "@jridgewell/trace-mapping": "^0.3.9" + "@jridgewell/gen-mapping": "^0.3.5", + "@jridgewell/trace-mapping": "^0.3.24" }, "engines": { "node": ">=6.0.0" @@ -53,72 +53,87 @@ "integrity": "sha512-3M2tELJOxQv0apCIiuKQ4pAbncz9GuLwnKFqxifWfe77wuMxyTRPmxssYHs42ePqzap1LT6GDcPygGs+hHstLg==" }, "node_modules/@aws-cdk/asset-node-proxy-agent-v6": { - "version": "2.0.1", - "resolved": "https://registry.npmjs.org/@aws-cdk/asset-node-proxy-agent-v6/-/asset-node-proxy-agent-v6-2.0.1.tgz", - "integrity": "sha512-DDt4SLdLOwWCjGtltH4VCST7hpOI5DzieuhGZsBpZ+AgJdSI2GCjklCXm0GCTwJG/SolkL5dtQXyUKgg9luBDg==" + "version": "2.0.3", + "resolved": "https://registry.npmjs.org/@aws-cdk/asset-node-proxy-agent-v6/-/asset-node-proxy-agent-v6-2.0.3.tgz", + "integrity": "sha512-twhuEG+JPOYCYPx/xy5uH2+VUsIEhPTzDY0F1KuB+ocjWWB/KEDiOVL19nHvbPCB6fhWnkykXEMJ4HHcKvjtvg==" }, - "node_modules/@aws-solutions-constructs/aws-cloudfront-s3": { - "version": "2.49.0", - "resolved": "https://registry.npmjs.org/@aws-solutions-constructs/aws-cloudfront-s3/-/aws-cloudfront-s3-2.49.0.tgz", - "integrity": "sha512-0VMtl+Ma+aLZo3Nuvq9bTl/Oz9vn5OaPEOELr9pe8kYuoHwGQUGuxXP/xJlQUWbXwR3JCQVcN5k4kdnD5eLXFw==", - "dependencies": { - "@aws-solutions-constructs/core": "2.49.0", - "@aws-solutions-constructs/resources": "2.49.0" + "node_modules/@aws-cdk/integ-tests-alpha": { + "version": "2.138.0-alpha.0", + "resolved": "https://registry.npmjs.org/@aws-cdk/integ-tests-alpha/-/integ-tests-alpha-2.138.0-alpha.0.tgz", + "integrity": "sha512-TqLcJbC9VX05X2Py2GpFZ8quO7Mj3i1NuerekzqM8RV8AiU3aPMcZFGRK+MdXHNIiGzYx9ZGfMPERVT4Qqwn6A==", + "engines": { + "node": ">= 14.15.0" }, "peerDependencies": { - "@aws-solutions-constructs/core": "2.49.0", - "@aws-solutions-constructs/resources": "2.49.0", - "aws-cdk-lib": "^2.118.0", + "aws-cdk-lib": "^2.138.0", + "constructs": "^10.0.0" + } + }, + "node_modules/@aws-solutions-constructs/aws-cloudfront-s3": { + "version": "2.57.0", + "resolved": "https://registry.npmjs.org/@aws-solutions-constructs/aws-cloudfront-s3/-/aws-cloudfront-s3-2.57.0.tgz", + "integrity": "sha512-ReL7pk7UE2Xgg0mw6v8TmMC6Jhkmv1R4s3UZqM9w4RMXzp3LceS78YZLJHBT6m8AAT6wxY4kAFqJNoUZJ7fFKg==", + "dependencies": { + "@aws-cdk/integ-tests-alpha": "2.138.0-alpha.0", + "@aws-solutions-constructs/core": "2.57.0", + "@aws-solutions-constructs/resources": "2.57.0", + "constructs": "^10.0.0" + }, + "peerDependencies": { + "@aws-solutions-constructs/core": "2.57.0", + "@aws-solutions-constructs/resources": "2.57.0", + "aws-cdk-lib": "^2.138.0", "constructs": "^10.0.0" } }, "node_modules/@aws-solutions-constructs/core": { - "version": "2.49.0", - "resolved": "https://registry.npmjs.org/@aws-solutions-constructs/core/-/core-2.49.0.tgz", - "integrity": "sha512-SZ3CBYF6jVQj0DSNwhksqwz5ohW4w+DlgKiZhrO9gLiW4YcRrxFzwQ7I9FHFUDPZOxsN4NmsuQNj/3s02gycmQ==", + "version": "2.57.0", + "resolved": "https://registry.npmjs.org/@aws-solutions-constructs/core/-/core-2.57.0.tgz", + "integrity": "sha512-AGDqfup4vfo1ueum44M70lcnUPVFM1jZhK9XVksxEQdQJA1T6O1OdcGGJO3aw3vQVC+9YS9upTYCfHUyC5j3qw==", "bundleDependencies": [ "deepmerge", "npmlog", "deep-diff" ], "dependencies": { + "@aws-cdk/integ-tests-alpha": "2.138.0-alpha.0", + "constructs": "^10.0.0", "deep-diff": "^1.0.2", "deepmerge": "^4.0.0", - "npmlog": "^4.1.2" + "npmlog": "^7.0.0" }, "peerDependencies": { - "aws-cdk-lib": "^2.118.0", + "aws-cdk-lib": "^2.138.0", "constructs": "^10.0.0" } }, "node_modules/@aws-solutions-constructs/core/node_modules/ansi-regex": { - "version": "2.1.1", + "version": "5.0.1", "inBundle": true, "license": "MIT", "engines": { - "node": ">=0.10.0" + "node": ">=8" } }, "node_modules/@aws-solutions-constructs/core/node_modules/aproba": { - "version": "1.2.0", + "version": "2.0.0", "inBundle": true, "license": "ISC" }, "node_modules/@aws-solutions-constructs/core/node_modules/are-we-there-yet": { - "version": "1.1.7", + "version": "4.0.2", "inBundle": true, "license": "ISC", - "dependencies": { - "delegates": "^1.0.0", - "readable-stream": "^2.0.6" + "engines": { + "node": "^14.17.0 || ^16.13.0 || >=18.0.0" } }, - "node_modules/@aws-solutions-constructs/core/node_modules/code-point-at": { - "version": "1.1.0", + "node_modules/@aws-solutions-constructs/core/node_modules/color-support": { + "version": "1.1.3", "inBundle": true, - "license": "MIT", - "engines": { - "node": ">=0.10.0" + "license": "ISC", + "bin": { + "color-support": "bin.js" } }, "node_modules/@aws-solutions-constructs/core/node_modules/console-control-strings": { @@ -126,11 +141,6 @@ "inBundle": true, "license": "ISC" }, - "node_modules/@aws-solutions-constructs/core/node_modules/core-util-is": { - "version": "1.0.3", - "inBundle": true, - "license": "MIT" - }, "node_modules/@aws-solutions-constructs/core/node_modules/deep-diff": { "version": "1.0.2", "inBundle": true, @@ -144,29 +154,27 @@ "node": ">=0.10.0" } }, - "node_modules/@aws-solutions-constructs/core/node_modules/delegates": { - "version": "1.0.0", - "inBundle": true, - "license": "MIT" - }, "node_modules/@aws-solutions-constructs/core/node_modules/emoji-regex": { "version": "8.0.0", "inBundle": true, "license": "MIT" }, "node_modules/@aws-solutions-constructs/core/node_modules/gauge": { - "version": "2.7.4", + "version": "5.0.2", "inBundle": true, "license": "ISC", "dependencies": { - "aproba": "^1.0.3", - "console-control-strings": "^1.0.0", - "has-unicode": "^2.0.0", - "object-assign": "^4.1.0", - "signal-exit": "^3.0.0", - "string-width": "^1.0.1", - "strip-ansi": "^3.0.1", - "wide-align": "^1.1.0" + "aproba": "^1.0.3 || ^2.0.0", + "color-support": "^1.1.3", + "console-control-strings": "^1.1.0", + "has-unicode": "^2.0.1", + "signal-exit": "^4.0.1", + "string-width": "^4.2.3", + "strip-ansi": "^6.0.1", + "wide-align": "^1.1.5" + }, + "engines": { + "node": "^14.17.0 || ^16.13.0 || >=18.0.0" } }, "node_modules/@aws-solutions-constructs/core/node_modules/has-unicode": { @@ -174,142 +182,7 @@ "inBundle": true, "license": "ISC" }, - "node_modules/@aws-solutions-constructs/core/node_modules/inherits": { - "version": "2.0.4", - "inBundle": true, - "license": "ISC" - }, "node_modules/@aws-solutions-constructs/core/node_modules/is-fullwidth-code-point": { - "version": "1.0.0", - "inBundle": true, - "license": "MIT", - "dependencies": { - "number-is-nan": "^1.0.0" - }, - "engines": { - "node": ">=0.10.0" - } - }, - "node_modules/@aws-solutions-constructs/core/node_modules/isarray": { - "version": "1.0.0", - "inBundle": true, - "license": "MIT" - }, - "node_modules/@aws-solutions-constructs/core/node_modules/npmlog": { - "version": "4.1.2", - "inBundle": true, - "license": "ISC", - "dependencies": { - "are-we-there-yet": "~1.1.2", - "console-control-strings": "~1.1.0", - "gauge": "~2.7.3", - "set-blocking": "~2.0.0" - } - }, - "node_modules/@aws-solutions-constructs/core/node_modules/number-is-nan": { - "version": "1.0.1", - "inBundle": true, - "license": "MIT", - "engines": { - "node": ">=0.10.0" - } - }, - "node_modules/@aws-solutions-constructs/core/node_modules/object-assign": { - "version": "4.1.1", - "inBundle": true, - "license": "MIT", - "engines": { - "node": ">=0.10.0" - } - }, - "node_modules/@aws-solutions-constructs/core/node_modules/process-nextick-args": { - "version": "2.0.1", - "inBundle": true, - "license": "MIT" - }, - "node_modules/@aws-solutions-constructs/core/node_modules/readable-stream": { - "version": "2.3.8", - "inBundle": true, - "license": "MIT", - "dependencies": { - "core-util-is": "~1.0.0", - "inherits": "~2.0.3", - "isarray": "~1.0.0", - "process-nextick-args": "~2.0.0", - "safe-buffer": "~5.1.1", - "string_decoder": "~1.1.1", - "util-deprecate": "~1.0.1" - } - }, - "node_modules/@aws-solutions-constructs/core/node_modules/safe-buffer": { - "version": "5.1.2", - "inBundle": true, - "license": "MIT" - }, - "node_modules/@aws-solutions-constructs/core/node_modules/set-blocking": { - "version": "2.0.0", - "inBundle": true, - "license": "ISC" - }, - "node_modules/@aws-solutions-constructs/core/node_modules/signal-exit": { - "version": "3.0.7", - "inBundle": true, - "license": "ISC" - }, - "node_modules/@aws-solutions-constructs/core/node_modules/string_decoder": { - "version": "1.1.1", - "inBundle": true, - "license": "MIT", - "dependencies": { - "safe-buffer": "~5.1.0" - } - }, - "node_modules/@aws-solutions-constructs/core/node_modules/string-width": { - "version": "1.0.2", - "inBundle": true, - "license": "MIT", - "dependencies": { - "code-point-at": "^1.0.0", - "is-fullwidth-code-point": "^1.0.0", - "strip-ansi": "^3.0.0" - }, - "engines": { - "node": ">=0.10.0" - } - }, - "node_modules/@aws-solutions-constructs/core/node_modules/strip-ansi": { - "version": "3.0.1", - "inBundle": true, - "license": "MIT", - "dependencies": { - "ansi-regex": "^2.0.0" - }, - "engines": { - "node": ">=0.10.0" - } - }, - "node_modules/@aws-solutions-constructs/core/node_modules/util-deprecate": { - "version": "1.0.2", - "inBundle": true, - "license": "MIT" - }, - "node_modules/@aws-solutions-constructs/core/node_modules/wide-align": { - "version": "1.1.5", - "inBundle": true, - "license": "ISC", - "dependencies": { - "string-width": "^1.0.2 || 2 || 3 || 4" - } - }, - "node_modules/@aws-solutions-constructs/core/node_modules/wide-align/node_modules/ansi-regex": { - "version": "5.0.1", - "inBundle": true, - "license": "MIT", - "engines": { - "node": ">=8" - } - }, - "node_modules/@aws-solutions-constructs/core/node_modules/wide-align/node_modules/is-fullwidth-code-point": { "version": "3.0.0", "inBundle": true, "license": "MIT", @@ -317,7 +190,37 @@ "node": ">=8" } }, - "node_modules/@aws-solutions-constructs/core/node_modules/wide-align/node_modules/string-width": { + "node_modules/@aws-solutions-constructs/core/node_modules/npmlog": { + "version": "7.0.1", + "inBundle": true, + "license": "ISC", + "dependencies": { + "are-we-there-yet": "^4.0.0", + "console-control-strings": "^1.1.0", + "gauge": "^5.0.0", + "set-blocking": "^2.0.0" + }, + "engines": { + "node": "^14.17.0 || ^16.13.0 || >=18.0.0" + } + }, + "node_modules/@aws-solutions-constructs/core/node_modules/set-blocking": { + "version": "2.0.0", + "inBundle": true, + "license": "ISC" + }, + "node_modules/@aws-solutions-constructs/core/node_modules/signal-exit": { + "version": "4.1.0", + "inBundle": true, + "license": "ISC", + "engines": { + "node": ">=14" + }, + "funding": { + "url": "https://github.com/sponsors/isaacs" + } + }, + "node_modules/@aws-solutions-constructs/core/node_modules/string-width": { "version": "4.2.3", "inBundle": true, "license": "MIT", @@ -330,7 +233,7 @@ "node": ">=8" } }, - "node_modules/@aws-solutions-constructs/core/node_modules/wide-align/node_modules/strip-ansi": { + "node_modules/@aws-solutions-constructs/core/node_modules/strip-ansi": { "version": "6.0.1", "inBundle": true, "license": "MIT", @@ -341,136 +244,75 @@ "node": ">=8" } }, + "node_modules/@aws-solutions-constructs/core/node_modules/wide-align": { + "version": "1.1.5", + "inBundle": true, + "license": "ISC", + "dependencies": { + "string-width": "^1.0.2 || 2 || 3 || 4" + } + }, "node_modules/@aws-solutions-constructs/resources": { - "version": "2.49.0", - "resolved": "https://registry.npmjs.org/@aws-solutions-constructs/resources/-/resources-2.49.0.tgz", - "integrity": "sha512-HHx9tTA36plfVxzzQ+qjHCJOo6ikHR+xEqtb1dDBQvgtWo3SnEbWAKBDqNPA6DGn7PoFhxE0zA0ntj7RfFjeLQ==", + "version": "2.57.0", + "resolved": "https://registry.npmjs.org/@aws-solutions-constructs/resources/-/resources-2.57.0.tgz", + "integrity": "sha512-2LYLlTF8GPvKY1KIFcF7MJNO7vnND7g93+FZY3sg95cSB6U9wKqhVdEn1LRGZLGljmsJJBHxUSedy8TOVIjOsQ==", "bundleDependencies": [ "@aws-sdk/client-kms", "@aws-sdk/client-s3", "aws-sdk-client-mock" ], "dependencies": { + "@aws-cdk/integ-tests-alpha": "2.138.0-alpha.0", "@aws-sdk/client-kms": "^3.478.0", "@aws-sdk/client-s3": "^3.478.0", - "@aws-solutions-constructs/core": "2.49.0", - "aws-sdk-client-mock": "^3.0.0" + "@aws-solutions-constructs/core": "2.57.0", + "aws-sdk-client-mock": "^3.0.0", + "constructs": "^10.0.0" }, "peerDependencies": { - "@aws-solutions-constructs/core": "2.49.0", - "aws-cdk-lib": "^2.118.0", + "@aws-solutions-constructs/core": "2.57.0", + "aws-cdk-lib": "^2.138.0", "constructs": "^10.0.0" } }, "node_modules/@babel/code-frame": { - "version": "7.22.13", - "resolved": "https://registry.npmjs.org/@babel/code-frame/-/code-frame-7.22.13.tgz", - "integrity": "sha512-XktuhWlJ5g+3TJXc5upd9Ks1HutSArik6jf2eAjYFyIOf4ej3RN+184cZbzDvbPnuTJIUhPKKJE3cIsYTiAT3w==", + "version": "7.24.2", + "resolved": "https://registry.npmjs.org/@babel/code-frame/-/code-frame-7.24.2.tgz", + "integrity": "sha512-y5+tLQyV8pg3fsiln67BVLD1P13Eg4lh5RW9mF0zUuvLrv9uIQ4MCL+CRT+FTsBlBjcIan6PGsLcBN0m3ClUyQ==", "dev": true, "dependencies": { - "@babel/highlight": "^7.22.13", - "chalk": "^2.4.2" + "@babel/highlight": "^7.24.2", + "picocolors": "^1.0.0" }, "engines": { "node": ">=6.9.0" } }, - "node_modules/@babel/code-frame/node_modules/ansi-styles": { - "version": "3.2.1", - "resolved": "https://registry.npmjs.org/ansi-styles/-/ansi-styles-3.2.1.tgz", - "integrity": "sha512-VT0ZI6kZRdTh8YyJw3SMbYm/u+NqfsAxEpWO0Pf9sq8/e94WxxOpPKx9FR1FlyCtOVDNOQ+8ntlqFxiRc+r5qA==", - "dev": true, - "dependencies": { - "color-convert": "^1.9.0" - }, - "engines": { - "node": ">=4" - } - }, - "node_modules/@babel/code-frame/node_modules/chalk": { - "version": "2.4.2", - "resolved": "https://registry.npmjs.org/chalk/-/chalk-2.4.2.tgz", - "integrity": "sha512-Mti+f9lpJNcwF4tWV8/OrTTtF1gZi+f8FqlyAdouralcFWFQWF2+NgCHShjkCb+IFBLq9buZwE1xckQU4peSuQ==", - "dev": true, - "dependencies": { - "ansi-styles": "^3.2.1", - "escape-string-regexp": "^1.0.5", - "supports-color": "^5.3.0" - }, - "engines": { - "node": ">=4" - } - }, - "node_modules/@babel/code-frame/node_modules/color-convert": { - "version": "1.9.3", - "resolved": "https://registry.npmjs.org/color-convert/-/color-convert-1.9.3.tgz", - "integrity": "sha512-QfAUtd+vFdAtFQcC8CCyYt1fYWxSqAiK2cSD6zDB8N3cpsEBAvRxp9zOGg6G/SHHJYAT88/az/IuDGALsNVbGg==", - "dev": true, - "dependencies": { - "color-name": "1.1.3" - } - }, - "node_modules/@babel/code-frame/node_modules/color-name": { - "version": "1.1.3", - "resolved": "https://registry.npmjs.org/color-name/-/color-name-1.1.3.tgz", - "integrity": "sha512-72fSenhMw2HZMTVHeCA9KCmpEIbzWiQsjN+BHcBbS9vr1mtt+vJjPdksIBNUmKAW8TFUDPJK5SUU3QhE9NEXDw==", - "dev": true - }, - "node_modules/@babel/code-frame/node_modules/escape-string-regexp": { - "version": "1.0.5", - "resolved": "https://registry.npmjs.org/escape-string-regexp/-/escape-string-regexp-1.0.5.tgz", - "integrity": "sha512-vbRorB5FUQWvla16U8R/qgaFIya2qGzwDrNmCZuYKrbdSUMG6I1ZCGQRefkRVhuOkIGVne7BQ35DSfo1qvJqFg==", - "dev": true, - "engines": { - "node": ">=0.8.0" - } - }, - "node_modules/@babel/code-frame/node_modules/has-flag": { - "version": "3.0.0", - "resolved": "https://registry.npmjs.org/has-flag/-/has-flag-3.0.0.tgz", - "integrity": "sha512-sKJf1+ceQBr4SMkvQnBDNDtf4TXpVhVGateu0t918bl30FnbE2m4vNLX+VWe/dpjlb+HugGYzW7uQXH98HPEYw==", - "dev": true, - "engines": { - "node": ">=4" - } - }, - "node_modules/@babel/code-frame/node_modules/supports-color": { - "version": "5.5.0", - "resolved": "https://registry.npmjs.org/supports-color/-/supports-color-5.5.0.tgz", - "integrity": "sha512-QjVjwdXIt408MIiAqCX4oUKsgU2EqAGzs2Ppkm4aQYbjm+ZEWEcW4SfFNTr4uMNZma0ey4f5lgLrkB0aX0QMow==", - "dev": true, - "dependencies": { - "has-flag": "^3.0.0" - }, - "engines": { - "node": ">=4" - } - }, "node_modules/@babel/compat-data": { - "version": "7.23.3", - "resolved": "https://registry.npmjs.org/@babel/compat-data/-/compat-data-7.23.3.tgz", - "integrity": "sha512-BmR4bWbDIoFJmJ9z2cZ8Gmm2MXgEDgjdWgpKmKWUt54UGFJdlj31ECtbaDvCG/qVdG3AQ1SfpZEs01lUFbzLOQ==", + "version": "7.24.4", + "resolved": "https://registry.npmjs.org/@babel/compat-data/-/compat-data-7.24.4.tgz", + "integrity": "sha512-vg8Gih2MLK+kOkHJp4gBEIkyaIi00jgWot2D9QOmmfLC8jINSOzmCLta6Bvz/JSBCqnegV0L80jhxkol5GWNfQ==", "dev": true, "engines": { "node": ">=6.9.0" } }, "node_modules/@babel/core": { - "version": "7.23.3", - "resolved": "https://registry.npmjs.org/@babel/core/-/core-7.23.3.tgz", - "integrity": "sha512-Jg+msLuNuCJDyBvFv5+OKOUjWMZgd85bKjbICd3zWrKAo+bJ49HJufi7CQE0q0uR8NGyO6xkCACScNqyjHSZew==", + "version": "7.24.5", + "resolved": "https://registry.npmjs.org/@babel/core/-/core-7.24.5.tgz", + "integrity": "sha512-tVQRucExLQ02Boi4vdPp49svNGcfL2GhdTCT9aldhXgCJVAI21EtRfBettiuLUwce/7r6bFdgs6JFkcdTiFttA==", "dev": true, "dependencies": { "@ampproject/remapping": "^2.2.0", - "@babel/code-frame": "^7.22.13", - "@babel/generator": "^7.23.3", - "@babel/helper-compilation-targets": "^7.22.15", - "@babel/helper-module-transforms": "^7.23.3", - "@babel/helpers": "^7.23.2", - "@babel/parser": "^7.23.3", - "@babel/template": "^7.22.15", - "@babel/traverse": "^7.23.3", - "@babel/types": "^7.23.3", + "@babel/code-frame": "^7.24.2", + "@babel/generator": "^7.24.5", + "@babel/helper-compilation-targets": "^7.23.6", + "@babel/helper-module-transforms": "^7.24.5", + "@babel/helpers": "^7.24.5", + "@babel/parser": "^7.24.5", + "@babel/template": "^7.24.0", + "@babel/traverse": "^7.24.5", + "@babel/types": "^7.24.5", "convert-source-map": "^2.0.0", "debug": "^4.1.0", "gensync": "^1.0.0-beta.2", @@ -486,14 +328,14 @@ } }, "node_modules/@babel/generator": { - "version": "7.23.3", - "resolved": "https://registry.npmjs.org/@babel/generator/-/generator-7.23.3.tgz", - "integrity": "sha512-keeZWAV4LU3tW0qRi19HRpabC/ilM0HRBBzf9/k8FFiG4KVpiv0FIy4hHfLfFQZNhziCTPTmd59zoyv6DNISzg==", + "version": "7.24.5", + "resolved": "https://registry.npmjs.org/@babel/generator/-/generator-7.24.5.tgz", + "integrity": "sha512-x32i4hEXvr+iI0NEoEfDKzlemF8AmtOP8CcrRaEcpzysWuoEb1KknpcvMsHKPONoKZiDuItklgWhB18xEhr9PA==", "dev": true, "dependencies": { - "@babel/types": "^7.23.3", - "@jridgewell/gen-mapping": "^0.3.2", - "@jridgewell/trace-mapping": "^0.3.17", + "@babel/types": "^7.24.5", + "@jridgewell/gen-mapping": "^0.3.5", + "@jridgewell/trace-mapping": "^0.3.25", "jsesc": "^2.5.1" }, "engines": { @@ -501,14 +343,14 @@ } }, "node_modules/@babel/helper-compilation-targets": { - "version": "7.22.15", - "resolved": "https://registry.npmjs.org/@babel/helper-compilation-targets/-/helper-compilation-targets-7.22.15.tgz", - "integrity": "sha512-y6EEzULok0Qvz8yyLkCvVX+02ic+By2UdOhylwUOvOn9dvYc9mKICJuuU1n1XBI02YWsNsnrY1kc6DVbjcXbtw==", + "version": "7.23.6", + "resolved": "https://registry.npmjs.org/@babel/helper-compilation-targets/-/helper-compilation-targets-7.23.6.tgz", + "integrity": "sha512-9JB548GZoQVmzrFgp8o7KxdgkTGm6xs9DW0o/Pim72UDjzr5ObUQ6ZzYPqA+g9OTS2bBQoctLJrky0RDCAWRgQ==", "dev": true, "dependencies": { - "@babel/compat-data": "^7.22.9", - "@babel/helper-validator-option": "^7.22.15", - "browserslist": "^4.21.9", + "@babel/compat-data": "^7.23.5", + "@babel/helper-validator-option": "^7.23.5", + "browserslist": "^4.22.2", "lru-cache": "^5.1.1", "semver": "^6.3.1" }, @@ -551,28 +393,28 @@ } }, "node_modules/@babel/helper-module-imports": { - "version": "7.22.15", - "resolved": "https://registry.npmjs.org/@babel/helper-module-imports/-/helper-module-imports-7.22.15.tgz", - "integrity": "sha512-0pYVBnDKZO2fnSPCrgM/6WMc7eS20Fbok+0r88fp+YtWVLZrp4CkafFGIp+W0VKw4a22sgebPT99y+FDNMdP4w==", + "version": "7.24.3", + "resolved": "https://registry.npmjs.org/@babel/helper-module-imports/-/helper-module-imports-7.24.3.tgz", + "integrity": "sha512-viKb0F9f2s0BCS22QSF308z/+1YWKV/76mwt61NBzS5izMzDPwdq1pTrzf+Li3npBWX9KdQbkeCt1jSAM7lZqg==", "dev": true, "dependencies": { - "@babel/types": "^7.22.15" + "@babel/types": "^7.24.0" }, "engines": { "node": ">=6.9.0" } }, "node_modules/@babel/helper-module-transforms": { - "version": "7.23.3", - "resolved": "https://registry.npmjs.org/@babel/helper-module-transforms/-/helper-module-transforms-7.23.3.tgz", - "integrity": "sha512-7bBs4ED9OmswdfDzpz4MpWgSrV7FXlc3zIagvLFjS5H+Mk7Snr21vQ6QwrsoCGMfNC4e4LQPdoULEt4ykz0SRQ==", + "version": "7.24.5", + "resolved": "https://registry.npmjs.org/@babel/helper-module-transforms/-/helper-module-transforms-7.24.5.tgz", + "integrity": "sha512-9GxeY8c2d2mdQUP1Dye0ks3VDyIMS98kt/llQ2nUId8IsWqTF0l1LkSX0/uP7l7MCDrzXS009Hyhe2gzTiGW8A==", "dev": true, "dependencies": { "@babel/helper-environment-visitor": "^7.22.20", - "@babel/helper-module-imports": "^7.22.15", - "@babel/helper-simple-access": "^7.22.5", - "@babel/helper-split-export-declaration": "^7.22.6", - "@babel/helper-validator-identifier": "^7.22.20" + "@babel/helper-module-imports": "^7.24.3", + "@babel/helper-simple-access": "^7.24.5", + "@babel/helper-split-export-declaration": "^7.24.5", + "@babel/helper-validator-identifier": "^7.24.5" }, "engines": { "node": ">=6.9.0" @@ -582,88 +424,89 @@ } }, "node_modules/@babel/helper-plugin-utils": { - "version": "7.22.5", - "resolved": "https://registry.npmjs.org/@babel/helper-plugin-utils/-/helper-plugin-utils-7.22.5.tgz", - "integrity": "sha512-uLls06UVKgFG9QD4OeFYLEGteMIAa5kpTPcFL28yuCIIzsf6ZyKZMllKVOCZFhiZ5ptnwX4mtKdWCBE/uT4amg==", + "version": "7.24.5", + "resolved": "https://registry.npmjs.org/@babel/helper-plugin-utils/-/helper-plugin-utils-7.24.5.tgz", + "integrity": "sha512-xjNLDopRzW2o6ba0gKbkZq5YWEBaK3PCyTOY1K2P/O07LGMhMqlMXPxwN4S5/RhWuCobT8z0jrlKGlYmeR1OhQ==", "dev": true, "engines": { "node": ">=6.9.0" } }, "node_modules/@babel/helper-simple-access": { - "version": "7.22.5", - "resolved": "https://registry.npmjs.org/@babel/helper-simple-access/-/helper-simple-access-7.22.5.tgz", - "integrity": "sha512-n0H99E/K+Bika3++WNL17POvo4rKWZ7lZEp1Q+fStVbUi8nxPQEBOlTmCOxW/0JsS56SKKQ+ojAe2pHKJHN35w==", + "version": "7.24.5", + "resolved": "https://registry.npmjs.org/@babel/helper-simple-access/-/helper-simple-access-7.24.5.tgz", + "integrity": "sha512-uH3Hmf5q5n7n8mz7arjUlDOCbttY/DW4DYhE6FUsjKJ/oYC1kQQUvwEQWxRwUpX9qQKRXeqLwWxrqilMrf32sQ==", "dev": true, "dependencies": { - "@babel/types": "^7.22.5" + "@babel/types": "^7.24.5" }, "engines": { "node": ">=6.9.0" } }, "node_modules/@babel/helper-split-export-declaration": { - "version": "7.22.6", - "resolved": "https://registry.npmjs.org/@babel/helper-split-export-declaration/-/helper-split-export-declaration-7.22.6.tgz", - "integrity": "sha512-AsUnxuLhRYsisFiaJwvp1QF+I3KjD5FOxut14q/GzovUe6orHLesW2C7d754kRm53h5gqrz6sFl6sxc4BVtE/g==", + "version": "7.24.5", + "resolved": "https://registry.npmjs.org/@babel/helper-split-export-declaration/-/helper-split-export-declaration-7.24.5.tgz", + "integrity": "sha512-5CHncttXohrHk8GWOFCcCl4oRD9fKosWlIRgWm4ql9VYioKm52Mk2xsmoohvm7f3JoiLSM5ZgJuRaf5QZZYd3Q==", "dev": true, "dependencies": { - "@babel/types": "^7.22.5" + "@babel/types": "^7.24.5" }, "engines": { "node": ">=6.9.0" } }, "node_modules/@babel/helper-string-parser": { - "version": "7.22.5", - "resolved": "https://registry.npmjs.org/@babel/helper-string-parser/-/helper-string-parser-7.22.5.tgz", - "integrity": "sha512-mM4COjgZox8U+JcXQwPijIZLElkgEpO5rsERVDJTc2qfCDfERyob6k5WegS14SX18IIjv+XD+GrqNumY5JRCDw==", + "version": "7.24.1", + "resolved": "https://registry.npmjs.org/@babel/helper-string-parser/-/helper-string-parser-7.24.1.tgz", + "integrity": "sha512-2ofRCjnnA9y+wk8b9IAREroeUP02KHp431N2mhKniy2yKIDKpbrHv9eXwm8cBeWQYcJmzv5qKCu65P47eCF7CQ==", "dev": true, "engines": { "node": ">=6.9.0" } }, "node_modules/@babel/helper-validator-identifier": { - "version": "7.22.20", - "resolved": "https://registry.npmjs.org/@babel/helper-validator-identifier/-/helper-validator-identifier-7.22.20.tgz", - "integrity": "sha512-Y4OZ+ytlatR8AI+8KZfKuL5urKp7qey08ha31L8b3BwewJAoJamTzyvxPR/5D+KkdJCGPq/+8TukHBlY10FX9A==", + "version": "7.24.5", + "resolved": "https://registry.npmjs.org/@babel/helper-validator-identifier/-/helper-validator-identifier-7.24.5.tgz", + "integrity": "sha512-3q93SSKX2TWCG30M2G2kwaKeTYgEUp5Snjuj8qm729SObL6nbtUldAi37qbxkD5gg3xnBio+f9nqpSepGZMvxA==", "dev": true, "engines": { "node": ">=6.9.0" } }, "node_modules/@babel/helper-validator-option": { - "version": "7.22.15", - "resolved": "https://registry.npmjs.org/@babel/helper-validator-option/-/helper-validator-option-7.22.15.tgz", - "integrity": "sha512-bMn7RmyFjY/mdECUbgn9eoSY4vqvacUnS9i9vGAGttgFWesO6B4CYWA7XlpbWgBt71iv/hfbPlynohStqnu5hA==", + "version": "7.23.5", + "resolved": "https://registry.npmjs.org/@babel/helper-validator-option/-/helper-validator-option-7.23.5.tgz", + "integrity": "sha512-85ttAOMLsr53VgXkTbkx8oA6YTfT4q7/HzXSLEYmjcSTJPMPQtvq1BD79Byep5xMUYbGRzEpDsjUf3dyp54IKw==", "dev": true, "engines": { "node": ">=6.9.0" } }, "node_modules/@babel/helpers": { - "version": "7.23.2", - "resolved": "https://registry.npmjs.org/@babel/helpers/-/helpers-7.23.2.tgz", - "integrity": "sha512-lzchcp8SjTSVe/fPmLwtWVBFC7+Tbn8LGHDVfDp9JGxpAY5opSaEFgt8UQvrnECWOTdji2mOWMz1rOhkHscmGQ==", + "version": "7.24.5", + "resolved": "https://registry.npmjs.org/@babel/helpers/-/helpers-7.24.5.tgz", + "integrity": "sha512-CiQmBMMpMQHwM5m01YnrM6imUG1ebgYJ+fAIW4FZe6m4qHTPaRHti+R8cggAwkdz4oXhtO4/K9JWlh+8hIfR2Q==", "dev": true, "dependencies": { - "@babel/template": "^7.22.15", - "@babel/traverse": "^7.23.2", - "@babel/types": "^7.23.0" + "@babel/template": "^7.24.0", + "@babel/traverse": "^7.24.5", + "@babel/types": "^7.24.5" }, "engines": { "node": ">=6.9.0" } }, "node_modules/@babel/highlight": { - "version": "7.22.20", - "resolved": "https://registry.npmjs.org/@babel/highlight/-/highlight-7.22.20.tgz", - "integrity": "sha512-dkdMCN3py0+ksCgYmGG8jKeGA/8Tk+gJwSYYlFGxG5lmhfKNoAy004YpLxpS1W2J8m/EK2Ew+yOs9pVRwO89mg==", + "version": "7.24.5", + "resolved": "https://registry.npmjs.org/@babel/highlight/-/highlight-7.24.5.tgz", + "integrity": "sha512-8lLmua6AVh/8SLJRRVD6V8p73Hir9w5mJrhE+IPpILG31KKlI9iz5zmBYKcWPS59qSfgP9RaSBQSHHE81WKuEw==", "dev": true, "dependencies": { - "@babel/helper-validator-identifier": "^7.22.20", + "@babel/helper-validator-identifier": "^7.24.5", "chalk": "^2.4.2", - "js-tokens": "^4.0.0" + "js-tokens": "^4.0.0", + "picocolors": "^1.0.0" }, "engines": { "node": ">=6.9.0" @@ -741,9 +584,9 @@ } }, "node_modules/@babel/parser": { - "version": "7.23.3", - "resolved": "https://registry.npmjs.org/@babel/parser/-/parser-7.23.3.tgz", - "integrity": "sha512-uVsWNvlVsIninV2prNz/3lHCb+5CJ+e+IUBfbjToAHODtfGYLfCFuY4AU7TskI+dAKk+njsPiBjq1gKTvZOBaw==", + "version": "7.24.5", + "resolved": "https://registry.npmjs.org/@babel/parser/-/parser-7.24.5.tgz", + "integrity": "sha512-EOv5IK8arwh3LI47dz1b0tKUb/1uhHAnHJOrjgtQMIpu1uXd9mlFrJg9IUgGUgZ41Ch0K8REPTYpO7B76b4vJg==", "dev": true, "bin": { "parser": "bin/babel-parser.js" @@ -813,12 +656,12 @@ } }, "node_modules/@babel/plugin-syntax-jsx": { - "version": "7.23.3", - "resolved": "https://registry.npmjs.org/@babel/plugin-syntax-jsx/-/plugin-syntax-jsx-7.23.3.tgz", - "integrity": "sha512-EB2MELswq55OHUoRZLGg/zC7QWUKfNLpE57m/S2yr1uEneIgsTgrSzXP3NXEsMkVn76OlaVVnzN+ugObuYGwhg==", + "version": "7.24.1", + "resolved": "https://registry.npmjs.org/@babel/plugin-syntax-jsx/-/plugin-syntax-jsx-7.24.1.tgz", + "integrity": "sha512-2eCtxZXf+kbkMIsXS4poTvT4Yu5rXiRa+9xGVT56raghjmBTKMpFNc9R4IDiB4emao9eO22Ox7CxuJG7BgExqA==", "dev": true, "dependencies": { - "@babel/helper-plugin-utils": "^7.22.5" + "@babel/helper-plugin-utils": "^7.24.0" }, "engines": { "node": ">=6.9.0" @@ -915,12 +758,12 @@ } }, "node_modules/@babel/plugin-syntax-typescript": { - "version": "7.23.3", - "resolved": "https://registry.npmjs.org/@babel/plugin-syntax-typescript/-/plugin-syntax-typescript-7.23.3.tgz", - "integrity": "sha512-9EiNjVJOMwCO+43TqoTrgQ8jMwcAd0sWyXi9RPfIsLTj4R2MADDDQXELhffaUx/uJv2AYcxBgPwH6j4TIA4ytQ==", + "version": "7.24.1", + "resolved": "https://registry.npmjs.org/@babel/plugin-syntax-typescript/-/plugin-syntax-typescript-7.24.1.tgz", + "integrity": "sha512-Yhnmvy5HZEnHUty6i++gcfH1/l68AHnItFHnaCv6hn9dNh0hQvvQJsxpi4BMBFN5DLeHBuucT/0DgzXif/OyRw==", "dev": true, "dependencies": { - "@babel/helper-plugin-utils": "^7.22.5" + "@babel/helper-plugin-utils": "^7.24.0" }, "engines": { "node": ">=6.9.0" @@ -930,34 +773,34 @@ } }, "node_modules/@babel/template": { - "version": "7.22.15", - "resolved": "https://registry.npmjs.org/@babel/template/-/template-7.22.15.tgz", - "integrity": "sha512-QPErUVm4uyJa60rkI73qneDacvdvzxshT3kksGqlGWYdOTIUOwJ7RDUL8sGqslY1uXWSL6xMFKEXDS3ox2uF0w==", + "version": "7.24.0", + "resolved": "https://registry.npmjs.org/@babel/template/-/template-7.24.0.tgz", + "integrity": "sha512-Bkf2q8lMB0AFpX0NFEqSbx1OkTHf0f+0j82mkw+ZpzBnkk7e9Ql0891vlfgi+kHwOk8tQjiQHpqh4LaSa0fKEA==", "dev": true, "dependencies": { - "@babel/code-frame": "^7.22.13", - "@babel/parser": "^7.22.15", - "@babel/types": "^7.22.15" + "@babel/code-frame": "^7.23.5", + "@babel/parser": "^7.24.0", + "@babel/types": "^7.24.0" }, "engines": { "node": ">=6.9.0" } }, "node_modules/@babel/traverse": { - "version": "7.23.3", - "resolved": "https://registry.npmjs.org/@babel/traverse/-/traverse-7.23.3.tgz", - "integrity": "sha512-+K0yF1/9yR0oHdE0StHuEj3uTPzwwbrLGfNOndVJVV2TqA5+j3oljJUb4nmB954FLGjNem976+B+eDuLIjesiQ==", + "version": "7.24.5", + "resolved": "https://registry.npmjs.org/@babel/traverse/-/traverse-7.24.5.tgz", + "integrity": "sha512-7aaBLeDQ4zYcUFDUD41lJc1fG8+5IU9DaNSJAgal866FGvmD5EbWQgnEC6kO1gGLsX0esNkfnJSndbTXA3r7UA==", "dev": true, "dependencies": { - "@babel/code-frame": "^7.22.13", - "@babel/generator": "^7.23.3", + "@babel/code-frame": "^7.24.2", + "@babel/generator": "^7.24.5", "@babel/helper-environment-visitor": "^7.22.20", "@babel/helper-function-name": "^7.23.0", "@babel/helper-hoist-variables": "^7.22.5", - "@babel/helper-split-export-declaration": "^7.22.6", - "@babel/parser": "^7.23.3", - "@babel/types": "^7.23.3", - "debug": "^4.1.0", + "@babel/helper-split-export-declaration": "^7.24.5", + "@babel/parser": "^7.24.5", + "@babel/types": "^7.24.5", + "debug": "^4.3.1", "globals": "^11.1.0" }, "engines": { @@ -965,13 +808,13 @@ } }, "node_modules/@babel/types": { - "version": "7.23.3", - "resolved": "https://registry.npmjs.org/@babel/types/-/types-7.23.3.tgz", - "integrity": "sha512-OZnvoH2l8PK5eUvEcUyCt/sXgr/h+UWpVuBbOljwcrAgUl6lpchoQ++PHGyQy1AtYnVA6CEq3y5xeEI10brpXw==", + "version": "7.24.5", + "resolved": "https://registry.npmjs.org/@babel/types/-/types-7.24.5.tgz", + "integrity": "sha512-6mQNsaLeXTw0nxYUYu+NSa4Hx4BlF1x1x8/PMFbiR+GBSr+2DkECc69b8hgy2frEodNcvPffeH8YfWd3LI6jhQ==", "dev": true, "dependencies": { - "@babel/helper-string-parser": "^7.22.5", - "@babel/helper-validator-identifier": "^7.22.20", + "@babel/helper-string-parser": "^7.24.1", + "@babel/helper-validator-identifier": "^7.24.5", "to-fast-properties": "^2.0.0" }, "engines": { @@ -1310,32 +1153,32 @@ } }, "node_modules/@jridgewell/gen-mapping": { - "version": "0.3.3", - "resolved": "https://registry.npmjs.org/@jridgewell/gen-mapping/-/gen-mapping-0.3.3.tgz", - "integrity": "sha512-HLhSWOLRi875zjjMG/r+Nv0oCW8umGb0BgEhyX3dDX3egwZtB8PqLnjz3yedt8R5StBrzcg4aBpnh8UA9D1BoQ==", + "version": "0.3.5", + "resolved": "https://registry.npmjs.org/@jridgewell/gen-mapping/-/gen-mapping-0.3.5.tgz", + "integrity": "sha512-IzL8ZoEDIBRWEzlCcRhOaCupYyN5gdIK+Q6fbFdPDg6HqX6jpkItn7DFIpW9LQzXG6Df9sA7+OKnq0qlz/GaQg==", "dev": true, "dependencies": { - "@jridgewell/set-array": "^1.0.1", + "@jridgewell/set-array": "^1.2.1", "@jridgewell/sourcemap-codec": "^1.4.10", - "@jridgewell/trace-mapping": "^0.3.9" + "@jridgewell/trace-mapping": "^0.3.24" }, "engines": { "node": ">=6.0.0" } }, "node_modules/@jridgewell/resolve-uri": { - "version": "3.1.1", - "resolved": "https://registry.npmjs.org/@jridgewell/resolve-uri/-/resolve-uri-3.1.1.tgz", - "integrity": "sha512-dSYZh7HhCDtCKm4QakX0xFpsRDqjjtZf/kjI/v3T3Nwt5r8/qz/M19F9ySyOqU94SXBmeG9ttTul+YnR4LOxFA==", + "version": "3.1.2", + "resolved": "https://registry.npmjs.org/@jridgewell/resolve-uri/-/resolve-uri-3.1.2.tgz", + "integrity": "sha512-bRISgCIjP20/tbWSPWMEi54QVPRZExkuD9lJL+UIxUKtwVJA8wW1Trb1jMs1RFXo1CBTNZ/5hpC9QvmKWdopKw==", "dev": true, "engines": { "node": ">=6.0.0" } }, "node_modules/@jridgewell/set-array": { - "version": "1.1.2", - "resolved": "https://registry.npmjs.org/@jridgewell/set-array/-/set-array-1.1.2.tgz", - "integrity": "sha512-xnkseuNADM0gt2bs+BvhO0p78Mk762YnZdsuzFV018NoG1Sj1SCQvpSqa7XUaTam5vAGasABV9qXASMKnFMwMw==", + "version": "1.2.1", + "resolved": "https://registry.npmjs.org/@jridgewell/set-array/-/set-array-1.2.1.tgz", + "integrity": "sha512-R8gLRTZeyp03ymzP/6Lil/28tGeGEzhx1q2k703KGWRAI1VdvPIXdG70VJc2pAMw3NA6JKL5hhFu1sJX0Mnn/A==", "dev": true, "engines": { "node": ">=6.0.0" @@ -1348,9 +1191,9 @@ "dev": true }, "node_modules/@jridgewell/trace-mapping": { - "version": "0.3.20", - "resolved": "https://registry.npmjs.org/@jridgewell/trace-mapping/-/trace-mapping-0.3.20.tgz", - "integrity": "sha512-R8LcPeWZol2zR8mmH3JeKQ6QRCFb7XgUhV9ZlGhHLGyg4wpPiPZNQOOWhFZhxKw8u//yTbNGI42Bx/3paXEQ+Q==", + "version": "0.3.25", + "resolved": "https://registry.npmjs.org/@jridgewell/trace-mapping/-/trace-mapping-0.3.25.tgz", + "integrity": "sha512-vNk6aEwybGtawWmy/PzwnGDOjCkLWSD2wqvjGGAgOAwCGWySYXfYoxt00IJkTF+8Lb57DwOb3Aa0o9CApepiYQ==", "dev": true, "dependencies": { "@jridgewell/resolve-uri": "^3.1.0", @@ -1364,9 +1207,9 @@ "dev": true }, "node_modules/@sinonjs/commons": { - "version": "3.0.0", - "resolved": "https://registry.npmjs.org/@sinonjs/commons/-/commons-3.0.0.tgz", - "integrity": "sha512-jXBtWAF4vmdNmZgD5FoKsVLv3rPgDnLgPbU84LIJ3otV44vJlDRokVng5v8NFJdCf/da9legHcKaRuZs4L7faA==", + "version": "3.0.1", + "resolved": "https://registry.npmjs.org/@sinonjs/commons/-/commons-3.0.1.tgz", + "integrity": "sha512-K3mCHKQ9sVh8o1C9cxkwxaOmXoAMlDxC1mYyHrjqOWEcBjYr76t96zL2zlj5dUGZ3HSw240X1qgH3Mjf1yJWpQ==", "dev": true, "dependencies": { "type-detect": "4.0.8" @@ -1382,9 +1225,9 @@ } }, "node_modules/@tsconfig/node10": { - "version": "1.0.9", - "resolved": "https://registry.npmjs.org/@tsconfig/node10/-/node10-1.0.9.tgz", - "integrity": "sha512-jNsYVVxU8v5g43Erja32laIDHXeoNvFEpX33OK4d6hljo3jDhCBDhx5dhCCTMWUojscpAagGiRkBKxpdl9fxqA==", + "version": "1.0.11", + "resolved": "https://registry.npmjs.org/@tsconfig/node10/-/node10-1.0.11.tgz", + "integrity": "sha512-DcRjDCujK/kCk/cUe8Xz8ZSpm8mS3mNNpta+jGCA6USEDfktlNvm1+IuZ9eTcDbNk41BHwpHHeW+N1lKCz4zOw==", "dev": true }, "node_modules/@tsconfig/node12": { @@ -1406,9 +1249,9 @@ "dev": true }, "node_modules/@types/babel__core": { - "version": "7.20.4", - "resolved": "https://registry.npmjs.org/@types/babel__core/-/babel__core-7.20.4.tgz", - "integrity": "sha512-mLnSC22IC4vcWiuObSRjrLd9XcBTGf59vUSoq2jkQDJ/QQ8PMI9rSuzE+aEV8karUMbskw07bKYoUJCKTUaygg==", + "version": "7.20.5", + "resolved": "https://registry.npmjs.org/@types/babel__core/-/babel__core-7.20.5.tgz", + "integrity": "sha512-qoQprZvz5wQFJwMDqeseRXWv3rqMvhgpbXFfVyWhbx9X47POIA6i/+dXefEmZKoAgOaTdaIgNSMqMIU61yRyzA==", "dev": true, "dependencies": { "@babel/parser": "^7.20.7", @@ -1419,9 +1262,9 @@ } }, "node_modules/@types/babel__generator": { - "version": "7.6.7", - "resolved": "https://registry.npmjs.org/@types/babel__generator/-/babel__generator-7.6.7.tgz", - "integrity": "sha512-6Sfsq+EaaLrw4RmdFWE9Onp63TOUue71AWb4Gpa6JxzgTYtimbM086WnYTy2U67AofR++QKCo08ZP6pwx8YFHQ==", + "version": "7.6.8", + "resolved": "https://registry.npmjs.org/@types/babel__generator/-/babel__generator-7.6.8.tgz", + "integrity": "sha512-ASsj+tpEDsEiFr1arWrlN6V3mdfjRMZt6LtK/Vp/kreFLnr5QH5+DhvD5nINYZXzwJvXeGq+05iUXcAzVrqWtw==", "dev": true, "dependencies": { "@babel/types": "^7.0.0" @@ -1438,9 +1281,9 @@ } }, "node_modules/@types/babel__traverse": { - "version": "7.20.4", - "resolved": "https://registry.npmjs.org/@types/babel__traverse/-/babel__traverse-7.20.4.tgz", - "integrity": "sha512-mSM/iKUk5fDDrEV/e83qY+Cr3I1+Q3qqTuEn++HAWYjEa1+NxZr6CNrcJGf2ZTnq4HoFGC3zaTPZTobCzCFukA==", + "version": "7.20.5", + "resolved": "https://registry.npmjs.org/@types/babel__traverse/-/babel__traverse-7.20.5.tgz", + "integrity": "sha512-WXCyOcRtH37HAUkpXhUduaxdm82b4GSlyTqajXviN4EfiuPgNYR109xMCKvpl6zPIpua0DGlMEDCq+g8EdoheQ==", "dev": true, "dependencies": { "@babel/types": "^7.20.7" @@ -1480,9 +1323,9 @@ } }, "node_modules/@types/jest": { - "version": "29.5.8", - "resolved": "https://registry.npmjs.org/@types/jest/-/jest-29.5.8.tgz", - "integrity": "sha512-fXEFTxMV2Co8ZF5aYFJv+YeA08RTYJfhtN5c9JSv/mFEMe+xxjufCb+PHL+bJcMs/ebPUsBu+UNTEz+ydXrR6g==", + "version": "29.5.12", + "resolved": "https://registry.npmjs.org/@types/jest/-/jest-29.5.12.tgz", + "integrity": "sha512-eDC8bTvT/QhYdxJAulQikueigY5AsdBRH2yDKW3yveW7svY3+DzN84/2NUgkw10RTiJbWqZrTtoGVdYlvFJdLw==", "dev": true, "dependencies": { "expect": "^29.0.0", @@ -1490,10 +1333,13 @@ } }, "node_modules/@types/node": { - "version": "20.1.7", - "resolved": "https://registry.npmjs.org/@types/node/-/node-20.1.7.tgz", - "integrity": "sha512-WCuw/o4GSwDGMoonES8rcvwsig77dGCMbZDrZr2x4ZZiNW4P/gcoZXe/0twgtobcTkmg9TuKflxYL/DuwDyJzg==", - "dev": true + "version": "20.12.12", + "resolved": "https://registry.npmjs.org/@types/node/-/node-20.12.12.tgz", + "integrity": "sha512-eWLDGF/FOSPtAvEqeRAQ4C8LSA7M1I7i0ky1I8U7kD1J5ITyW3AsRhQrKVoWf5pFKZ2kILsEGJhsI9r93PYnOw==", + "dev": true, + "dependencies": { + "undici-types": "~5.26.4" + } }, "node_modules/@types/stack-utils": { "version": "2.0.3", @@ -1502,9 +1348,9 @@ "dev": true }, "node_modules/@types/yargs": { - "version": "17.0.31", - "resolved": "https://registry.npmjs.org/@types/yargs/-/yargs-17.0.31.tgz", - "integrity": "sha512-bocYSx4DI8TmdlvxqGpVNXOgCNR1Jj0gNPhhAY+iz1rgKDAaYrAYdFYnhDV1IFuiuVc9HkOwyDcFxaTElF3/wg==", + "version": "17.0.32", + "resolved": "https://registry.npmjs.org/@types/yargs/-/yargs-17.0.32.tgz", + "integrity": "sha512-xQ67Yc/laOG5uMfX/093MRlGGCIBzZMarVa+gfNKJxWAIgykYpVGkBdbqEzGDDfCrVUj6Hiff4mTZ5BA6TmAog==", "dev": true, "dependencies": { "@types/yargs-parser": "*" @@ -1517,9 +1363,9 @@ "dev": true }, "node_modules/acorn": { - "version": "8.11.2", - "resolved": "https://registry.npmjs.org/acorn/-/acorn-8.11.2.tgz", - "integrity": "sha512-nc0Axzp/0FILLEVsm4fNwLCwMttvhEI263QtVPQcbpfZZ3ts0hLsZGOpE6czNlid7CJ9MlyH8reXkpsf3YUY4w==", + "version": "8.11.3", + "resolved": "https://registry.npmjs.org/acorn/-/acorn-8.11.3.tgz", + "integrity": "sha512-Y9rRfJG5jcKOE0CLisYbojUjIrIEE7AGMzA/Sm4BslANhbS+cDMpgBdcPT91oJ7OuJ9hYJBx59RjbhxVnrF8Xg==", "dev": true, "bin": { "acorn": "bin/acorn" @@ -1529,9 +1375,9 @@ } }, "node_modules/acorn-walk": { - "version": "8.3.0", - "resolved": "https://registry.npmjs.org/acorn-walk/-/acorn-walk-8.3.0.tgz", - "integrity": "sha512-FS7hV565M5l1R08MXqo8odwMTB02C2UqzB17RVgu9EyuYFBqJZ3/ZY97sQD5FewVu1UyDFc1yztUDrAwT0EypA==", + "version": "8.3.2", + "resolved": "https://registry.npmjs.org/acorn-walk/-/acorn-walk-8.3.2.tgz", + "integrity": "sha512-cjkyv4OtNCIeqhHrfS81QWXoCBPExR/J62oyEqepVw8WaQeSqpW2uhuLPh1m9eWhDuOo/jUXVTlifvesOWp/4A==", "dev": true, "engines": { "node": ">=0.4.0" @@ -1605,9 +1451,9 @@ } }, "node_modules/aws-cdk": { - "version": "2.86.0", - "resolved": "https://registry.npmjs.org/aws-cdk/-/aws-cdk-2.86.0.tgz", - "integrity": "sha512-GRcdU6p00Zu3fIZYPG+EbpDYppYMtzebuf0jrmCfKhCytRGaPWDHHfu3hrv0de4d0zbUD/+AmiODPMu3J6nXbQ==", + "version": "2.141.0", + "resolved": "https://registry.npmjs.org/aws-cdk/-/aws-cdk-2.141.0.tgz", + "integrity": "sha512-RM9uDiETBEKCHemItaRGVjOLwoZ5iqXnejpyXY7+YF75c2c0Ui7HSZI8QD0stDg3S/2UbLcKv2RA9dBsjrWUGA==", "dev": true, "bin": { "cdk": "bin/cdk" @@ -1620,9 +1466,9 @@ } }, "node_modules/aws-cdk-lib": { - "version": "2.124.0", - "resolved": "https://registry.npmjs.org/aws-cdk-lib/-/aws-cdk-lib-2.124.0.tgz", - "integrity": "sha512-K/Tey8TMw30GO6UD0qb19CPhBMZhleGshz520ZnbDUJwNfFtejwZOnpmRMOdUP9f4tHc5BrXl1VGsZtXtUaGhg==", + "version": "2.141.0", + "resolved": "https://registry.npmjs.org/aws-cdk-lib/-/aws-cdk-lib-2.141.0.tgz", + "integrity": "sha512-xda56Lfwpdqg9MssnFdXrAKTmeeNjfrfFCaWwqGqToG6cfGY2W+6wyyoObX60/MeZGhhs3Lhdb/K94ulLJ4X/A==", "bundleDependencies": [ "@balena/dockerignore", "case", @@ -1633,21 +1479,23 @@ "punycode", "semver", "table", - "yaml" + "yaml", + "mime-types" ], "dependencies": { "@aws-cdk/asset-awscli-v1": "^2.2.202", "@aws-cdk/asset-kubectl-v20": "^2.1.2", - "@aws-cdk/asset-node-proxy-agent-v6": "^2.0.1", + "@aws-cdk/asset-node-proxy-agent-v6": "^2.0.3", "@balena/dockerignore": "^1.0.2", "case": "1.6.3", "fs-extra": "^11.2.0", - "ignore": "^5.3.0", + "ignore": "^5.3.1", "jsonschema": "^1.4.1", + "mime-types": "^2.1.35", "minimatch": "^3.1.2", "punycode": "^2.3.1", - "semver": "^7.5.4", - "table": "^6.8.1", + "semver": "^7.6.0", + "table": "^6.8.2", "yaml": "1.10.2" }, "engines": { @@ -1663,14 +1511,14 @@ "license": "Apache-2.0" }, "node_modules/aws-cdk-lib/node_modules/ajv": { - "version": "8.12.0", + "version": "8.13.0", "inBundle": true, "license": "MIT", "dependencies": { - "fast-deep-equal": "^3.1.1", + "fast-deep-equal": "^3.1.3", "json-schema-traverse": "^1.0.0", "require-from-string": "^2.0.2", - "uri-js": "^4.2.2" + "uri-js": "^4.4.1" }, "funding": { "type": "github", @@ -1779,7 +1627,7 @@ "license": "ISC" }, "node_modules/aws-cdk-lib/node_modules/ignore": { - "version": "5.3.0", + "version": "5.3.1", "inBundle": true, "license": "MIT", "engines": { @@ -1834,6 +1682,25 @@ "node": ">=10" } }, + "node_modules/aws-cdk-lib/node_modules/mime-db": { + "version": "1.52.0", + "inBundle": true, + "license": "MIT", + "engines": { + "node": ">= 0.6" + } + }, + "node_modules/aws-cdk-lib/node_modules/mime-types": { + "version": "2.1.35", + "inBundle": true, + "license": "MIT", + "dependencies": { + "mime-db": "1.52.0" + }, + "engines": { + "node": ">= 0.6" + } + }, "node_modules/aws-cdk-lib/node_modules/minimatch": { "version": "3.1.2", "inBundle": true, @@ -1862,7 +1729,7 @@ } }, "node_modules/aws-cdk-lib/node_modules/semver": { - "version": "7.5.4", + "version": "7.6.0", "inBundle": true, "license": "ISC", "dependencies": { @@ -1916,7 +1783,7 @@ } }, "node_modules/aws-cdk-lib/node_modules/table": { - "version": "6.8.1", + "version": "6.8.2", "inBundle": true, "license": "BSD-3-Clause", "dependencies": { @@ -2095,9 +1962,9 @@ } }, "node_modules/browserslist": { - "version": "4.22.1", - "resolved": "https://registry.npmjs.org/browserslist/-/browserslist-4.22.1.tgz", - "integrity": "sha512-FEVc202+2iuClEhZhrWy6ZiAcRLvNMyYcxZ8raemul1DYVOVdFsbqckWLdsixQZCpJlwe77Z3UTalE7jsjnKfQ==", + "version": "4.23.0", + "resolved": "https://registry.npmjs.org/browserslist/-/browserslist-4.23.0.tgz", + "integrity": "sha512-QW8HiM1shhT2GuzkvklfjcKDiWFXHOeFCIA/huJPwHsslwcydgk7X+z2zXpEijP98UCY7HbubZt5J2Zgvf0CaQ==", "dev": true, "funding": [ { @@ -2114,9 +1981,9 @@ } ], "dependencies": { - "caniuse-lite": "^1.0.30001541", - "electron-to-chromium": "^1.4.535", - "node-releases": "^2.0.13", + "caniuse-lite": "^1.0.30001587", + "electron-to-chromium": "^1.4.668", + "node-releases": "^2.0.14", "update-browserslist-db": "^1.0.13" }, "bin": { @@ -2171,9 +2038,9 @@ } }, "node_modules/caniuse-lite": { - "version": "1.0.30001561", - "resolved": "https://registry.npmjs.org/caniuse-lite/-/caniuse-lite-1.0.30001561.tgz", - "integrity": "sha512-NTt0DNoKe958Q0BE0j0c1V9jbUzhBxHIEJy7asmGrpE0yG63KTV7PLHPnK2E1O9RsQrQ081I3NLuXGS6zht3cw==", + "version": "1.0.30001618", + "resolved": "https://registry.npmjs.org/caniuse-lite/-/caniuse-lite-1.0.30001618.tgz", + "integrity": "sha512-p407+D1tIkDvsEAPS22lJxLQQaG8OTBEqo0KhzfABGk0TU4juBNDSfH0hyAp/HRyx+M8L17z/ltyhxh27FTfQg==", "dev": true, "funding": [ { @@ -2191,9 +2058,9 @@ ] }, "node_modules/cdk-ecr-deployment": { - "version": "2.5.30", - "resolved": "https://registry.npmjs.org/cdk-ecr-deployment/-/cdk-ecr-deployment-2.5.30.tgz", - "integrity": "sha512-IFS/DD6OmNcXv24YKjjaz1sb04xxsoUb7vPYwx7kTBAOxOnT0CuAadF8/HVfM/YVoqoOPXCJe3ikAXy1iI0nKw==", + "version": "3.0.55", + "resolved": "https://registry.npmjs.org/cdk-ecr-deployment/-/cdk-ecr-deployment-3.0.55.tgz", + "integrity": "sha512-z10vrHqdFX08uNT3KPFU6TeBJIP+j0xst0atwW7XL1TK3TPe8CSUG+LAs2Uh0dkX3fsVesAWEIbw4QmiMiIsoQ==", "bundleDependencies": [ "got", "hpagent" @@ -2243,12 +2110,15 @@ } }, "node_modules/cdk-ecr-deployment/node_modules/@types/cacheable-request/node_modules/@types/node": { - "version": "20.3.3", + "version": "20.12.11", "inBundle": true, - "license": "MIT" + "license": "MIT", + "dependencies": { + "undici-types": "~5.26.4" + } }, "node_modules/cdk-ecr-deployment/node_modules/@types/http-cache-semantics": { - "version": "4.0.1", + "version": "4.0.4", "inBundle": true, "license": "MIT" }, @@ -2261,12 +2131,15 @@ } }, "node_modules/cdk-ecr-deployment/node_modules/@types/keyv/node_modules/@types/node": { - "version": "20.3.3", + "version": "20.12.11", "inBundle": true, - "license": "MIT" + "license": "MIT", + "dependencies": { + "undici-types": "~5.26.4" + } }, "node_modules/cdk-ecr-deployment/node_modules/@types/responselike": { - "version": "1.0.0", + "version": "1.0.3", "inBundle": true, "license": "MIT", "dependencies": { @@ -2274,9 +2147,12 @@ } }, "node_modules/cdk-ecr-deployment/node_modules/@types/responselike/node_modules/@types/node": { - "version": "20.3.3", + "version": "20.12.11", "inBundle": true, - "license": "MIT" + "license": "MIT", + "dependencies": { + "undici-types": "~5.26.4" + } }, "node_modules/cdk-ecr-deployment/node_modules/cacheable-lookup": { "version": "5.0.4", @@ -2303,20 +2179,6 @@ "node": ">=8" } }, - "node_modules/cdk-ecr-deployment/node_modules/cacheable-request/node_modules/get-stream": { - "version": "5.2.0", - "inBundle": true, - "license": "MIT", - "dependencies": { - "pump": "^3.0.0" - }, - "engines": { - "node": ">=8" - }, - "funding": { - "url": "https://github.com/sponsors/sindresorhus" - } - }, "node_modules/cdk-ecr-deployment/node_modules/clone-response": { "version": "1.0.3", "inBundle": true, @@ -2366,6 +2228,20 @@ "once": "^1.4.0" } }, + "node_modules/cdk-ecr-deployment/node_modules/get-stream": { + "version": "5.2.0", + "inBundle": true, + "license": "MIT", + "dependencies": { + "pump": "^3.0.0" + }, + "engines": { + "node": ">=8" + }, + "funding": { + "url": "https://github.com/sponsors/sindresorhus" + } + }, "node_modules/cdk-ecr-deployment/node_modules/got": { "version": "11.8.6", "inBundle": true, @@ -2418,7 +2294,7 @@ "license": "MIT" }, "node_modules/cdk-ecr-deployment/node_modules/keyv": { - "version": "4.5.2", + "version": "4.5.4", "inBundle": true, "license": "MIT", "dependencies": { @@ -2507,6 +2383,11 @@ "url": "https://github.com/sponsors/sindresorhus" } }, + "node_modules/cdk-ecr-deployment/node_modules/undici-types": { + "version": "5.26.5", + "inBundle": true, + "license": "MIT" + }, "node_modules/cdk-ecr-deployment/node_modules/wrappy": { "version": "1.0.2", "inBundle": true, @@ -2553,9 +2434,9 @@ } }, "node_modules/cjs-module-lexer": { - "version": "1.2.3", - "resolved": "https://registry.npmjs.org/cjs-module-lexer/-/cjs-module-lexer-1.2.3.tgz", - "integrity": "sha512-0TNiGstbQmCFwt4akjjBg5pLRTSyj/PkWQ1ZoO2zntmg9yLqSRxwEa4iCfQLGjqhiqBfOJa7W/E8wfGrTDmlZQ==", + "version": "1.3.1", + "resolved": "https://registry.npmjs.org/cjs-module-lexer/-/cjs-module-lexer-1.3.1.tgz", + "integrity": "sha512-a3KdPAANPbNE4ZUv9h6LckSl9zLsYOP4MBmhIPkRaeyybt+r4UghLvq+xw/YwUcC1gqylCkL4rdVs3Lwupjm4Q==", "dev": true }, "node_modules/cliui": { @@ -2685,9 +2566,9 @@ } }, "node_modules/dedent": { - "version": "1.5.1", - "resolved": "https://registry.npmjs.org/dedent/-/dedent-1.5.1.tgz", - "integrity": "sha512-+LxW+KLWxu3HW3M2w2ympwtqPrqYRzU8fqi6Fhd18fBALe15blJPI/I4+UHveMVG6lJqB4JNd4UG0S5cnVHwIg==", + "version": "1.5.3", + "resolved": "https://registry.npmjs.org/dedent/-/dedent-1.5.3.tgz", + "integrity": "sha512-NHQtfOOW68WD8lgypbLA5oT+Bt0xXJhiYvoR6SmmNXZfpzOGXwdKWmcwG8N7PwVVWV3eF/68nmD9BaJSsTBhyQ==", "dev": true, "peerDependencies": { "babel-plugin-macros": "^3.1.0" @@ -2708,9 +2589,9 @@ } }, "node_modules/deploy-time-build": { - "version": "0.3.12", - "resolved": "https://registry.npmjs.org/deploy-time-build/-/deploy-time-build-0.3.12.tgz", - "integrity": "sha512-fVyuwB0Nh7mOLYswhHIHv3NOCeTWyNAjzM8cqSBnuhfvRKSdLZUFPnfwlPk1VgvYp9lfrxBZ+eicjWPBrAr53g==", + "version": "0.3.21", + "resolved": "https://registry.npmjs.org/deploy-time-build/-/deploy-time-build-0.3.21.tgz", + "integrity": "sha512-lbc5TS08md+5e+cU4sxpDzOiUNWOEfuvElhapPHGWMrzJjINdiAv6hw9vc5ExnTZmYoOCcE1oNdaVbc8FCqiRA==", "peerDependencies": { "aws-cdk-lib": "^2.38.0", "constructs": "^10.0.5" @@ -2744,20 +2625,20 @@ } }, "node_modules/dotenv": { - "version": "16.3.1", - "resolved": "https://registry.npmjs.org/dotenv/-/dotenv-16.3.1.tgz", - "integrity": "sha512-IPzF4w4/Rd94bA9imS68tZBaYyBWSCE47V1RGuMrB94iyTOIEwRmVL2x/4An+6mETpLrKJ5hQkB8W4kFAadeIQ==", + "version": "16.4.5", + "resolved": "https://registry.npmjs.org/dotenv/-/dotenv-16.4.5.tgz", + "integrity": "sha512-ZmdL2rui+eB2YwhsWzjInR8LldtZHGDoQ1ugH85ppHKwpUHL7j7rN0Ti9NCnGiQbhaZ11FpR+7ao1dNsmduNUg==", "engines": { "node": ">=12" }, "funding": { - "url": "https://github.com/motdotla/dotenv?sponsor=1" + "url": "https://dotenvx.com" } }, "node_modules/electron-to-chromium": { - "version": "1.4.580", - "resolved": "https://registry.npmjs.org/electron-to-chromium/-/electron-to-chromium-1.4.580.tgz", - "integrity": "sha512-T5q3pjQon853xxxHUq3ZP68ZpvJHuSMY2+BZaW3QzjS4HvNuvsMmZ/+lU+nCrftre1jFZ+OSlExynXWBihnXzw==", + "version": "1.4.767", + "resolved": "https://registry.npmjs.org/electron-to-chromium/-/electron-to-chromium-1.4.767.tgz", + "integrity": "sha512-nzzHfmQqBss7CE3apQHkHjXW77+8w3ubGCIoEijKCJebPufREaFETgGXWTkh32t259F3Kcq+R8MZdFdOJROgYw==", "dev": true }, "node_modules/emittery": { @@ -2788,9 +2669,9 @@ } }, "node_modules/escalade": { - "version": "3.1.1", - "resolved": "https://registry.npmjs.org/escalade/-/escalade-3.1.1.tgz", - "integrity": "sha512-k0er2gUkLf8O0zKJiAhmkTnJlTvINGv7ygDNPbeIsX/TJjGJZHuh9B2UxbsaEkmlEo9MfhrSzmhIlhRlI2GXnw==", + "version": "3.1.2", + "resolved": "https://registry.npmjs.org/escalade/-/escalade-3.1.2.tgz", + "integrity": "sha512-ErCHMCae19vR8vQGe50xIsVomy19rg6gFu3+r3jkEO46suLMWBksvVyoGgQV+jOfl84ZSOSlmv6Gxa89PmTGmA==", "dev": true, "engines": { "node": ">=6" @@ -3019,9 +2900,9 @@ } }, "node_modules/hasown": { - "version": "2.0.0", - "resolved": "https://registry.npmjs.org/hasown/-/hasown-2.0.0.tgz", - "integrity": "sha512-vUptKVTpIJhcczKBbgnS+RtcuYMB8+oNzPK2/Hp3hanz8JmpATdmmgLgSaadVREkDm+e2giHwY3ZRkyjSIDDFA==", + "version": "2.0.2", + "resolved": "https://registry.npmjs.org/hasown/-/hasown-2.0.2.tgz", + "integrity": "sha512-0hJU9SCPvmMzIBdZFqNPXWa6dqh7WdH0cII9y+CyS8rG3nL48Bclra9HmKhVVUHyPWNH5Y7xDwAB7bfgSjkUMQ==", "dev": true, "dependencies": { "function-bind": "^1.1.2" @@ -3162,14 +3043,14 @@ } }, "node_modules/istanbul-lib-instrument": { - "version": "6.0.1", - "resolved": "https://registry.npmjs.org/istanbul-lib-instrument/-/istanbul-lib-instrument-6.0.1.tgz", - "integrity": "sha512-EAMEJBsYuyyztxMxW3g7ugGPkrZsV57v0Hmv3mm1uQsmB+QnZuepg731CRaIgeUVSdmsTngOkSnauNF8p7FIhA==", + "version": "6.0.2", + "resolved": "https://registry.npmjs.org/istanbul-lib-instrument/-/istanbul-lib-instrument-6.0.2.tgz", + "integrity": "sha512-1WUsZ9R1lA0HtBSohTkm39WTPlNKSJ5iFk7UwqXkBLoHQT+hfqPsfsTDVuZdKGaBwn7din9bS7SsnoAr943hvw==", "dev": true, "dependencies": { - "@babel/core": "^7.12.3", - "@babel/parser": "^7.14.7", - "@istanbuljs/schema": "^0.1.2", + "@babel/core": "^7.23.9", + "@babel/parser": "^7.23.9", + "@istanbuljs/schema": "^0.1.3", "istanbul-lib-coverage": "^3.2.0", "semver": "^7.5.4" }, @@ -3177,26 +3058,11 @@ "node": ">=10" } }, - "node_modules/istanbul-lib-instrument/node_modules/lru-cache": { - "version": "6.0.0", - "resolved": "https://registry.npmjs.org/lru-cache/-/lru-cache-6.0.0.tgz", - "integrity": "sha512-Jo6dJ04CmSjuznwJSS3pUeWmd/H0ffTlkXXgwZi+eq1UCmqQwCh+eLsYOYCwY991i2Fah4h1BEMCx4qThGbsiA==", - "dev": true, - "dependencies": { - "yallist": "^4.0.0" - }, - "engines": { - "node": ">=10" - } - }, "node_modules/istanbul-lib-instrument/node_modules/semver": { - "version": "7.5.4", - "resolved": "https://registry.npmjs.org/semver/-/semver-7.5.4.tgz", - "integrity": "sha512-1bCSESV6Pv+i21Hvpxp3Dx+pSD8lIPt8uVjRrxAUt/nbswYc+tK6Y2btiULjd4+fnq15PX+nqQDC7Oft7WkwcA==", + "version": "7.6.2", + "resolved": "https://registry.npmjs.org/semver/-/semver-7.6.2.tgz", + "integrity": "sha512-FNAIBWCx9qcRhoHcgcJ0gvU7SN1lYU2ZXuSfl04bSC5OpvDHFyJCjdNHomPXxjQlCBU67YW64PzY7/VIEH7F2w==", "dev": true, - "dependencies": { - "lru-cache": "^6.0.0" - }, "bin": { "semver": "bin/semver.js" }, @@ -3204,12 +3070,6 @@ "node": ">=10" } }, - "node_modules/istanbul-lib-instrument/node_modules/yallist": { - "version": "4.0.0", - "resolved": "https://registry.npmjs.org/yallist/-/yallist-4.0.0.tgz", - "integrity": "sha512-3wdGidZyq5PB084XLES5TpOSRA3wjXAlIWMhum2kRcv/41Sn2emQ0dycQW4uZXLejwKvg6EsvbdlVL+FYEct7A==", - "dev": true - }, "node_modules/istanbul-lib-report": { "version": "3.0.1", "resolved": "https://registry.npmjs.org/istanbul-lib-report/-/istanbul-lib-report-3.0.1.tgz", @@ -3239,9 +3099,9 @@ } }, "node_modules/istanbul-reports": { - "version": "3.1.6", - "resolved": "https://registry.npmjs.org/istanbul-reports/-/istanbul-reports-3.1.6.tgz", - "integrity": "sha512-TLgnMkKg3iTDsQ9PbPTdpfAK2DzjF9mqUG7RMgcQl8oFjad8ob4laGxv5XV5U9MAfx8D6tSJiUyuAwzLicaxlg==", + "version": "3.1.7", + "resolved": "https://registry.npmjs.org/istanbul-reports/-/istanbul-reports-3.1.7.tgz", + "integrity": "sha512-BewmUXImeuRk2YY0PVbxgKAysvhRPUQE0h5QRM++nVWyubKGV0l8qQ5op8+B2DOmwSe63Jivj0BjkPQVf8fP5g==", "dev": true, "dependencies": { "html-escaper": "^2.0.0", @@ -3721,26 +3581,11 @@ "node": "^14.15.0 || ^16.10.0 || >=18.0.0" } }, - "node_modules/jest-snapshot/node_modules/lru-cache": { - "version": "6.0.0", - "resolved": "https://registry.npmjs.org/lru-cache/-/lru-cache-6.0.0.tgz", - "integrity": "sha512-Jo6dJ04CmSjuznwJSS3pUeWmd/H0ffTlkXXgwZi+eq1UCmqQwCh+eLsYOYCwY991i2Fah4h1BEMCx4qThGbsiA==", - "dev": true, - "dependencies": { - "yallist": "^4.0.0" - }, - "engines": { - "node": ">=10" - } - }, "node_modules/jest-snapshot/node_modules/semver": { - "version": "7.5.4", - "resolved": "https://registry.npmjs.org/semver/-/semver-7.5.4.tgz", - "integrity": "sha512-1bCSESV6Pv+i21Hvpxp3Dx+pSD8lIPt8uVjRrxAUt/nbswYc+tK6Y2btiULjd4+fnq15PX+nqQDC7Oft7WkwcA==", + "version": "7.6.2", + "resolved": "https://registry.npmjs.org/semver/-/semver-7.6.2.tgz", + "integrity": "sha512-FNAIBWCx9qcRhoHcgcJ0gvU7SN1lYU2ZXuSfl04bSC5OpvDHFyJCjdNHomPXxjQlCBU67YW64PzY7/VIEH7F2w==", "dev": true, - "dependencies": { - "lru-cache": "^6.0.0" - }, "bin": { "semver": "bin/semver.js" }, @@ -3748,12 +3593,6 @@ "node": ">=10" } }, - "node_modules/jest-snapshot/node_modules/yallist": { - "version": "4.0.0", - "resolved": "https://registry.npmjs.org/yallist/-/yallist-4.0.0.tgz", - "integrity": "sha512-3wdGidZyq5PB084XLES5TpOSRA3wjXAlIWMhum2kRcv/41Sn2emQ0dycQW4uZXLejwKvg6EsvbdlVL+FYEct7A==", - "dev": true - }, "node_modules/jest-util": { "version": "29.7.0", "resolved": "https://registry.npmjs.org/jest-util/-/jest-util-29.7.0.tgz", @@ -3964,26 +3803,11 @@ "url": "https://github.com/sponsors/sindresorhus" } }, - "node_modules/make-dir/node_modules/lru-cache": { - "version": "6.0.0", - "resolved": "https://registry.npmjs.org/lru-cache/-/lru-cache-6.0.0.tgz", - "integrity": "sha512-Jo6dJ04CmSjuznwJSS3pUeWmd/H0ffTlkXXgwZi+eq1UCmqQwCh+eLsYOYCwY991i2Fah4h1BEMCx4qThGbsiA==", - "dev": true, - "dependencies": { - "yallist": "^4.0.0" - }, - "engines": { - "node": ">=10" - } - }, "node_modules/make-dir/node_modules/semver": { - "version": "7.5.4", - "resolved": "https://registry.npmjs.org/semver/-/semver-7.5.4.tgz", - "integrity": "sha512-1bCSESV6Pv+i21Hvpxp3Dx+pSD8lIPt8uVjRrxAUt/nbswYc+tK6Y2btiULjd4+fnq15PX+nqQDC7Oft7WkwcA==", + "version": "7.6.2", + "resolved": "https://registry.npmjs.org/semver/-/semver-7.6.2.tgz", + "integrity": "sha512-FNAIBWCx9qcRhoHcgcJ0gvU7SN1lYU2ZXuSfl04bSC5OpvDHFyJCjdNHomPXxjQlCBU67YW64PzY7/VIEH7F2w==", "dev": true, - "dependencies": { - "lru-cache": "^6.0.0" - }, "bin": { "semver": "bin/semver.js" }, @@ -3991,12 +3815,6 @@ "node": ">=10" } }, - "node_modules/make-dir/node_modules/yallist": { - "version": "4.0.0", - "resolved": "https://registry.npmjs.org/yallist/-/yallist-4.0.0.tgz", - "integrity": "sha512-3wdGidZyq5PB084XLES5TpOSRA3wjXAlIWMhum2kRcv/41Sn2emQ0dycQW4uZXLejwKvg6EsvbdlVL+FYEct7A==", - "dev": true - }, "node_modules/make-error": { "version": "1.3.6", "resolved": "https://registry.npmjs.org/make-error/-/make-error-1.3.6.tgz", @@ -4071,9 +3889,9 @@ "dev": true }, "node_modules/node-releases": { - "version": "2.0.13", - "resolved": "https://registry.npmjs.org/node-releases/-/node-releases-2.0.13.tgz", - "integrity": "sha512-uYr7J37ae/ORWdZeQ1xxMJe3NtdmqMC/JZK+geofDrkLUApKRHPd18/TxtBOJ4A0/+uUIliorNrfYV6s1b02eQ==", + "version": "2.0.14", + "resolved": "https://registry.npmjs.org/node-releases/-/node-releases-2.0.14.tgz", + "integrity": "sha512-y10wOWt8yZpqXmOgRo77WaHEmhYQYGNA6y421PKsKYWEK8aW+cqAphborZDhqfyKrbZEN92CN1X2KbafY2s7Yw==", "dev": true }, "node_modules/normalize-path": { @@ -4224,9 +4042,9 @@ "dev": true }, "node_modules/picocolors": { - "version": "1.0.0", - "resolved": "https://registry.npmjs.org/picocolors/-/picocolors-1.0.0.tgz", - "integrity": "sha512-1fygroTLlHu66zi26VoTDv8yRgm0Fccecssto+MhsZ0D/DGW2sm8E8AjW7NU5VVTRt5GxbeZ5qBuJr+HyLYkjQ==", + "version": "1.0.1", + "resolved": "https://registry.npmjs.org/picocolors/-/picocolors-1.0.1.tgz", + "integrity": "sha512-anP1Z8qwhkbmu7MFP5iTt+wQKXgwzf7zTyGlcdzabySa9vd0Xt392U0rVmz9poOaBj0uHJKyyo9/upk0HrEQew==", "dev": true }, "node_modules/picomatch": { @@ -4302,9 +4120,9 @@ } }, "node_modules/pure-rand": { - "version": "6.0.4", - "resolved": "https://registry.npmjs.org/pure-rand/-/pure-rand-6.0.4.tgz", - "integrity": "sha512-LA0Y9kxMYv47GIPJy6MI84fqTd2HmYZI83W/kM/SkKfDlajnZYfmXFTxkbY+xSBPkLJxltMa9hIkmdc29eguMA==", + "version": "6.1.0", + "resolved": "https://registry.npmjs.org/pure-rand/-/pure-rand-6.1.0.tgz", + "integrity": "sha512-bVWawvoZoBYpp6yIoQtQXHZjmz35RSVHnUOTefl8Vcjr8snTPY1wnpSPMWekcFwbxI6gtmT7rSYPFvz71ldiOA==", "dev": true, "funding": [ { @@ -4318,9 +4136,9 @@ ] }, "node_modules/react-is": { - "version": "18.2.0", - "resolved": "https://registry.npmjs.org/react-is/-/react-is-18.2.0.tgz", - "integrity": "sha512-xWGDIW6x921xtzPkhiULtthJHoJvBbF3q26fzloPCK0hsvxtPVelvftw3zjbHWSkR2km9Z+4uxbDDK/6Zw9B8w==", + "version": "18.3.1", + "resolved": "https://registry.npmjs.org/react-is/-/react-is-18.3.1.tgz", + "integrity": "sha512-/LLMVyas0ljjAtoYiPqYiL8VWXzUUdThrmU5+n20DZv+a+ClRoevUzw5JxU+Ieh5/c87ytoTBV9G1FiKfNJdmg==", "dev": true }, "node_modules/require-directory": { @@ -4600,9 +4418,9 @@ } }, "node_modules/ts-jest": { - "version": "29.1.1", - "resolved": "https://registry.npmjs.org/ts-jest/-/ts-jest-29.1.1.tgz", - "integrity": "sha512-D6xjnnbP17cC85nliwGiL+tpoKN0StpgE0TeOjXQTU6MVCfsB4v7aW05CgQ/1OywGb0x/oy9hHFnN+sczTiRaA==", + "version": "29.1.2", + "resolved": "https://registry.npmjs.org/ts-jest/-/ts-jest-29.1.2.tgz", + "integrity": "sha512-br6GJoH/WUX4pu7FbZXuWGKGNDuU7b8Uj77g/Sp7puZV6EXzuByl6JrECvm0MzVzSTkSHWTihsXt+5XYER5b+g==", "dev": true, "dependencies": { "bs-logger": "0.x", @@ -4618,7 +4436,7 @@ "ts-jest": "cli.js" }, "engines": { - "node": "^14.15.0 || ^16.10.0 || >=18.0.0" + "node": "^16.10.0 || ^18.0.0 || >=20.0.0" }, "peerDependencies": { "@babel/core": ">=7.0.0-beta.0 <8", @@ -4642,26 +4460,11 @@ } } }, - "node_modules/ts-jest/node_modules/lru-cache": { - "version": "6.0.0", - "resolved": "https://registry.npmjs.org/lru-cache/-/lru-cache-6.0.0.tgz", - "integrity": "sha512-Jo6dJ04CmSjuznwJSS3pUeWmd/H0ffTlkXXgwZi+eq1UCmqQwCh+eLsYOYCwY991i2Fah4h1BEMCx4qThGbsiA==", - "dev": true, - "dependencies": { - "yallist": "^4.0.0" - }, - "engines": { - "node": ">=10" - } - }, "node_modules/ts-jest/node_modules/semver": { - "version": "7.5.4", - "resolved": "https://registry.npmjs.org/semver/-/semver-7.5.4.tgz", - "integrity": "sha512-1bCSESV6Pv+i21Hvpxp3Dx+pSD8lIPt8uVjRrxAUt/nbswYc+tK6Y2btiULjd4+fnq15PX+nqQDC7Oft7WkwcA==", + "version": "7.6.2", + "resolved": "https://registry.npmjs.org/semver/-/semver-7.6.2.tgz", + "integrity": "sha512-FNAIBWCx9qcRhoHcgcJ0gvU7SN1lYU2ZXuSfl04bSC5OpvDHFyJCjdNHomPXxjQlCBU67YW64PzY7/VIEH7F2w==", "dev": true, - "dependencies": { - "lru-cache": "^6.0.0" - }, "bin": { "semver": "bin/semver.js" }, @@ -4669,16 +4472,10 @@ "node": ">=10" } }, - "node_modules/ts-jest/node_modules/yallist": { - "version": "4.0.0", - "resolved": "https://registry.npmjs.org/yallist/-/yallist-4.0.0.tgz", - "integrity": "sha512-3wdGidZyq5PB084XLES5TpOSRA3wjXAlIWMhum2kRcv/41Sn2emQ0dycQW4uZXLejwKvg6EsvbdlVL+FYEct7A==", - "dev": true - }, "node_modules/ts-node": { - "version": "10.9.1", - "resolved": "https://registry.npmjs.org/ts-node/-/ts-node-10.9.1.tgz", - "integrity": "sha512-NtVysVPkxxrwFGUUxGYhfux8k78pQB3JqYBXlLRZgdGUqTO5wU/UyHop5p70iEbGhB7q5KmiZiU0Y3KlJrScEw==", + "version": "10.9.2", + "resolved": "https://registry.npmjs.org/ts-node/-/ts-node-10.9.2.tgz", + "integrity": "sha512-f0FFpIdcHgn8zcPSbf1dRevwt047YMnaiJM3u2w2RewrB+fob/zePZcrOyQoLMMO7aBIddLcQIEK5dYjkLnGrQ==", "dev": true, "dependencies": { "@cspotcode/source-map-support": "^0.8.0", @@ -4740,9 +4537,9 @@ } }, "node_modules/typescript": { - "version": "5.1.6", - "resolved": "https://registry.npmjs.org/typescript/-/typescript-5.1.6.tgz", - "integrity": "sha512-zaWCozRZ6DLEWAWFrVDz1H6FVXzUSfTy5FUMWsQlU8Ym5JP9eO4xkTIROFCQvhQf61z6O/G6ugw3SgAnvvm+HA==", + "version": "5.4.5", + "resolved": "https://registry.npmjs.org/typescript/-/typescript-5.4.5.tgz", + "integrity": "sha512-vcI4UpRgg81oIRUFwR0WSIHKt11nJ7SAVlYNIu+QpqeyXP+gpQJy/Z4+F0aGxSE4MqwjyXvW/TzgkLAx2AGHwQ==", "dev": true, "bin": { "tsc": "bin/tsc", @@ -4752,10 +4549,16 @@ "node": ">=14.17" } }, + "node_modules/undici-types": { + "version": "5.26.5", + "resolved": "https://registry.npmjs.org/undici-types/-/undici-types-5.26.5.tgz", + "integrity": "sha512-JlCMO+ehdEIKqlFxk6IfVoAUVmgz7cU7zD/h9XZ0qzeosSHmUJVOzSQvvYSYWXkFXC+IfLKSIffhv0sVZup6pA==", + "dev": true + }, "node_modules/update-browserslist-db": { - "version": "1.0.13", - "resolved": "https://registry.npmjs.org/update-browserslist-db/-/update-browserslist-db-1.0.13.tgz", - "integrity": "sha512-xebP81SNcPuNpPP3uzeW1NYXxI3rxyJzF3pD6sH4jE7o/IX+WtSpwnVU+qIsDPyk0d3hmFQ7mjqc6AtV604hbg==", + "version": "1.0.16", + "resolved": "https://registry.npmjs.org/update-browserslist-db/-/update-browserslist-db-1.0.16.tgz", + "integrity": "sha512-KVbTxlBYlckhF5wgfyZXTWnMn7MMZjMu9XG8bPlliUOP9ThaF4QnhP8qrjrH7DRzHfSk0oQv1wToW+iA5GajEQ==", "dev": true, "funding": [ { @@ -4772,8 +4575,8 @@ } ], "dependencies": { - "escalade": "^3.1.1", - "picocolors": "^1.0.0" + "escalade": "^3.1.2", + "picocolors": "^1.0.1" }, "bin": { "update-browserslist-db": "cli.js" @@ -4789,9 +4592,9 @@ "dev": true }, "node_modules/v8-to-istanbul": { - "version": "9.1.3", - "resolved": "https://registry.npmjs.org/v8-to-istanbul/-/v8-to-istanbul-9.1.3.tgz", - "integrity": "sha512-9lDD+EVI2fjFsMWXc6dy5JJzBsVTcQ2fVkfBvncZ6xJWG9wtBhOldG+mHkSL0+V1K/xgZz0JDO5UT5hFwHUghg==", + "version": "9.2.0", + "resolved": "https://registry.npmjs.org/v8-to-istanbul/-/v8-to-istanbul-9.2.0.tgz", + "integrity": "sha512-/EH/sDgxU2eGxajKdwLCDmQ4FWq+kpi3uCmBGpw1xJtnAxEjlD8j8PEiGWpCIMIs3ciNAgH0d3TTJiUkYzyZjA==", "dev": true, "dependencies": { "@jridgewell/trace-mapping": "^0.3.12", diff --git a/scripts/aws/package.json b/scripts/aws/package.json index c74884aea..29a02b756 100644 --- a/scripts/aws/package.json +++ b/scripts/aws/package.json @@ -11,21 +11,21 @@ "cdk": "cdk" }, "devDependencies": { - "@types/jest": "^29.5.1", - "@types/node": "20.1.7", - "aws-cdk": "^2.86.0", - "jest": "^29.5.0", - "ts-jest": "^29.1.0", - "ts-node": "^10.9.1", - "typescript": "~5.1.3" + "@types/jest": "^29.5.12", + "@types/node": "^20.12.12", + "aws-cdk": "^2.141.0", + "jest": "^29.7.0", + "ts-jest": "^29.1.2", + "ts-node": "^10.9.2", + "typescript": "^5.4.5" }, "dependencies": { - "@aws-solutions-constructs/aws-cloudfront-s3": "^2.49.0", - "aws-cdk-lib": "^2.124.0", - "cdk-ecr-deployment": "^2.5.30", - "constructs": "^10.0.0", - "deploy-time-build": "^0.3.12", - "dotenv": "^16.3.1", + "@aws-solutions-constructs/aws-cloudfront-s3": "^2.57.0", + "aws-cdk-lib": "^2.141.0", + "cdk-ecr-deployment": "^3.0.55", + "constructs": "^10.3.0", + "deploy-time-build": "^0.3.21", + "dotenv": "^16.4.5", "source-map-support": "^0.5.21" } } diff --git a/scripts/gcp/deploy_langflow_gcp.sh b/scripts/gcp/deploy_langflow_gcp.sh index fbf87099a..cdb8e209f 100644 --- a/scripts/gcp/deploy_langflow_gcp.sh +++ b/scripts/gcp/deploy_langflow_gcp.sh @@ -35,7 +35,7 @@ fi # Create a firewall rule to allow IAP traffic firewall_iap_exists=$(gcloud compute firewall-rules list --filter="name=allow-iap" --format="value(name)") if [[ -z "$firewall_iap_exists" ]]; then - gcloud compute firewall-rules create allow-iap --network $VPC_NAME --allow tcp:80,tcp:443,tcp:22,:tcp:3389 --source-ranges 35.235.240.0/20 --direction INGRESS + gcloud compute firewall-rules create allow-iap --network $VPC_NAME --allow tcp:80,tcp:443,tcp:22,tcp:3389 --source-ranges 35.235.240.0/20 --direction INGRESS fi # Define the startup script as a multiline Bash here-doc @@ -48,8 +48,10 @@ apt -y upgrade # Install Python 3 pip, Langflow, and Nginx apt -y install python3-pip -pip install langflow -langflow --host 0.0.0.0 --port 7860 +pip3 install pip -U +apt -y update +pip3 install langflow +langflow run --host 0.0.0.0 --port 7860 EOF ) diff --git a/scripts/setup/update_poetry.sh b/scripts/setup/update_poetry.sh index 94c51fd56..a8825a116 100644 --- a/scripts/setup/update_poetry.sh +++ b/scripts/setup/update_poetry.sh @@ -32,90 +32,6 @@ case "$OS" in ;; esac -echo "Detected Operating System: $OS" - -# Installation of pipx based on the detected OS -install_pipx() { - case $1 in - macOS) - # macOS installation using Homebrew - command -v brew >/dev/null 2>&1 || exit_with_message "Homebrew is not installed. Please install Homebrew first." - echo "Installing pipx using Homebrew..." - brew install pipx - pipx ensurepath - ;; - Linux) - # Linux installation. Further checks are needed to distinguish between distributions - if grep -qEi "(ubuntu|debian)" /etc/*release; then - echo "Installing pipx on Ubuntu/Debian..." - sudo apt update - sudo apt install pipx -y - elif grep -qEi "fedora" /etc/*release; then - echo "Installing pipx on Fedora..." - sudo dnf install pipx -y - else - echo "Installing pipx using pip (other Linux distributions)..." - python3 -m pip install --user pipx - fi - pipx ensurepath - ;; - *) - exit_with_message "Unsupported operating system for pipx installation." - ;; - esac -} - -# Function to fetch the latest version of pipx from GitHub and compare with the installed version -check_for_pipx_update() { - echo "Checking for updates to pipx..." - # Fetch the latest version of pipx, ensuring only to capture the numeric version without 'v' prefix. - local latest_version=$(curl -s https://api.github.com/repos/pypa/pipx/releases/latest | grep '"tag_name":' | sed -E 's/.*"tag_name": "v?([^"]+)".*/\1/') - # Extract the current installed version of pipx. - local current_version=$(pipx --version | grep -oE '[0-9]+\.[0-9]+\.[0-9]+') - - if [[ "$latest_version" == "$current_version" ]]; then - echo "You have the latest version of pipx ($current_version)." - else - echo "A newer version of pipx ($latest_version) is available. You have $current_version. Do you want to update? (yes/no)" - read -r user_input - if [[ "$user_input" == "yes" ]]; then - echo "Updating pipx..." - case "$OS" in - macOS) - brew upgrade pipx - ;; - Linux) - if grep -qEi "(ubuntu|debian)" /etc/*release; then - sudo apt update - sudo apt install --only-upgrade pipx -y - elif grep -qEi "fedora" /etc/*release; then - sudo dnf upgrade pipx -y - else - python3 -m pip install --user --upgrade pipx - fi - ;; - *) - exit_with_message "Unsupported operating system for pipx update." - ;; - esac - pipx ensurepath - echo "pipx updated to version $latest_version" - else - echo "Not updating pipx at this time." - fi - fi -} - -# Now, modify the existing check to call check_for_pipx_update even if pipx is installed -if ! command -v pipx &> /dev/null; then - echo "Pipx is not installed. Installing..." - install_pipx "$OS" - echo "Pipx installed successfully." -else - echo "Pipx is already installed." - check_for_pipx_update -fi - echo "Checking Poetry installation..." @@ -124,7 +40,7 @@ if ! command -v poetry &> /dev/null then echo "Poetry is not installed. Installing..." # Also install python 3.10 and use - pipx install poetry --python python3.10 --fetch-missing-python + curl -sSL https://install.python-poetry.org | python3 - echo "Poetry installed successfully." else echo "Poetry is already installed." @@ -146,3 +62,5 @@ else echo "Poetry version is $1 or higher. No need to update." fi + + diff --git a/src/backend/.gitignore b/src/backend/.gitignore index 9af18a35f..ac0cc6c6d 100644 --- a/src/backend/.gitignore +++ b/src/backend/.gitignore @@ -131,3 +131,4 @@ dmypy.json # Pyre type checker .pyre/ +*.db \ No newline at end of file diff --git a/src/backend/Dockerfile b/src/backend/Dockerfile index 8257d89b0..ba1f3c946 100644 --- a/src/backend/Dockerfile +++ b/src/backend/Dockerfile @@ -1,4 +1,4 @@ -FROM logspace/backend_build as backend_build +FROM langflowai/backend_build as backend_build FROM python:3.10-slim WORKDIR /app diff --git a/src/backend/base/langflow/__main__.py b/src/backend/base/langflow/__main__.py index 925e6a7a1..dfb784c90 100644 --- a/src/backend/base/langflow/__main__.py +++ b/src/backend/base/langflow/__main__.py @@ -2,6 +2,7 @@ import platform import socket import sys import time +import warnings from pathlib import Path from typing import Optional @@ -16,8 +17,10 @@ from rich import print as rprint from rich.console import Console from rich.panel import Panel from rich.table import Table +from sqlmodel import select from langflow.main import setup_app +from langflow.services.database.models.folder.utils import create_default_folder_if_it_doesnt_exist from langflow.services.database.utils import session_getter from langflow.services.deps import get_db_service from langflow.services.utils import initialize_services @@ -431,17 +434,57 @@ def superuser( # Verify that the superuser was created from langflow.services.database.models.user.model import User - user: User = session.query(User).filter(User.username == username).first() + user: User = session.exec(select(User).where(User.username == username)).first() if user is None or not user.is_superuser: typer.echo("Superuser creation failed.") return - + # Now create the first folder for the user + result = create_default_folder_if_it_doesnt_exist(session, user.id) + if result: + typer.echo("Default folder created successfully.") + else: + raise RuntimeError("Could not create default folder.") typer.echo("Superuser created successfully.") else: typer.echo("Superuser creation failed.") +# command to copy the langflow database from the cache to the current directory +# because now the database is stored per installation +@app.command() +def copy_db(): + """ + Copy the database files to the current directory. + + This function copies the 'langflow.db' and 'langflow-pre.db' files from the cache directory to the current directory. + If the files exist in the cache directory, they will be copied to the same directory as this script (__main__.py). + + Returns: + None + """ + import shutil + + from platformdirs import user_cache_dir + + cache_dir = Path(user_cache_dir("langflow")) + db_path = cache_dir / "langflow.db" + pre_db_path = cache_dir / "langflow-pre.db" + # It should be copied to the current directory + # this file is __main__.py and it should be in the same directory as the database + destination_folder = Path(__file__).parent + if db_path.exists(): + shutil.copy(db_path, destination_folder) + typer.echo(f"Database copied to {destination_folder}") + else: + typer.echo("Database not found in the cache directory.") + if pre_db_path.exists(): + shutil.copy(pre_db_path, destination_folder) + typer.echo(f"Pre-release database copied to {destination_folder}") + else: + typer.echo("Pre-release database not found in the cache directory.") + + @app.command() def migration( test: bool = typer.Option(True, help="Run migrations in test mode."), @@ -468,7 +511,9 @@ def migration( def main(): - app() + with warnings.catch_warnings(): + warnings.simplefilter("ignore") + app() if __name__ == "__main__": diff --git a/src/backend/base/langflow/alembic/versions/012fb73ac359_add_folder_table.py b/src/backend/base/langflow/alembic/versions/012fb73ac359_add_folder_table.py new file mode 100644 index 000000000..b9ebc2ca2 --- /dev/null +++ b/src/backend/base/langflow/alembic/versions/012fb73ac359_add_folder_table.py @@ -0,0 +1,78 @@ +"""Add Folder table + +Revision ID: 012fb73ac359 +Revises: c153816fd85f +Create Date: 2024-05-07 12:52:16.954691 + +""" + +from typing import Sequence, Union + +import sqlalchemy as sa +import sqlmodel +from alembic import op +from sqlalchemy.engine.reflection import Inspector + +# revision identifiers, used by Alembic. +revision: str = "012fb73ac359" +down_revision: Union[str, None] = "c153816fd85f" +branch_labels: Union[str, Sequence[str], None] = None +depends_on: Union[str, Sequence[str], None] = None + + +def upgrade() -> None: + conn = op.get_bind() + inspector = Inspector.from_engine(conn) # type: ignore + table_names = inspector.get_table_names() + # ### commands auto generated by Alembic - please adjust! ### + if "folder" not in table_names: + op.create_table( + "folder", + sa.Column("name", sqlmodel.sql.sqltypes.AutoString(), nullable=False), + sa.Column("description", sqlmodel.sql.sqltypes.AutoString(), nullable=True), + sa.Column("id", sqlmodel.sql.sqltypes.GUID(), nullable=False), + sa.Column("parent_id", sqlmodel.sql.sqltypes.GUID(), nullable=True), + sa.Column("user_id", sqlmodel.sql.sqltypes.GUID(), nullable=True), + sa.ForeignKeyConstraint( + ["parent_id"], + ["folder.id"], + ), + sa.ForeignKeyConstraint( + ["user_id"], + ["user.id"], + ), + sa.PrimaryKeyConstraint("id"), + ) + indexes = inspector.get_indexes("folder") + if "ix_folder_name" not in [index["name"] for index in indexes]: + with op.batch_alter_table("folder", schema=None) as batch_op: + batch_op.create_index(batch_op.f("ix_folder_name"), ["name"], unique=False) + + if "folder_id" not in inspector.get_columns("flow"): + with op.batch_alter_table("flow", schema=None) as batch_op: + batch_op.add_column(sa.Column("folder_id", sqlmodel.sql.sqltypes.GUID(), nullable=True)) + batch_op.create_foreign_key("flow_folder_id_fkey", "folder", ["folder_id"], ["id"]) + batch_op.drop_column("folder") + + # ### end Alembic commands ### + + +def downgrade() -> None: + conn = op.get_bind() + inspector = Inspector.from_engine(conn) # type: ignore + table_names = inspector.get_table_names() + # ### commands auto generated by Alembic - please adjust! ### + if "folder_id" in inspector.get_columns("flow"): + with op.batch_alter_table("flow", schema=None) as batch_op: + batch_op.add_column(sa.Column("folder", sa.VARCHAR(), nullable=True)) + batch_op.drop_constraint("flow_folder_id_fkey", type_="foreignkey") + batch_op.drop_column("folder_id") + + indexes = inspector.get_indexes("folder") + if "ix_folder_name" in [index["name"] for index in indexes]: + with op.batch_alter_table("folder", schema=None) as batch_op: + batch_op.drop_index(batch_op.f("ix_folder_name")) + + if "folder" in table_names: + op.drop_table("folder") + # ### end Alembic commands ### diff --git a/src/backend/base/langflow/alembic/versions/1f4d6df60295_add_default_fields_column.py b/src/backend/base/langflow/alembic/versions/1f4d6df60295_add_default_fields_column.py new file mode 100644 index 000000000..e47d68702 --- /dev/null +++ b/src/backend/base/langflow/alembic/versions/1f4d6df60295_add_default_fields_column.py @@ -0,0 +1,43 @@ +"""Add default_fields column + +Revision ID: 1f4d6df60295 +Revises: 6e7b581b5648 +Create Date: 2024-04-29 09:49:46.864145 + +""" + +from typing import Sequence, Union + +import sqlalchemy as sa +from alembic import op +from sqlalchemy.engine.reflection import Inspector + +# revision identifiers, used by Alembic. +revision: str = "1f4d6df60295" +down_revision: Union[str, None] = "6e7b581b5648" +branch_labels: Union[str, Sequence[str], None] = None +depends_on: Union[str, Sequence[str], None] = None + + +def upgrade() -> None: + conn = op.get_bind() + inspector = Inspector.from_engine(conn) # type: ignore + # ### commands auto generated by Alembic - please adjust! ### + column_names = [column["name"] for column in inspector.get_columns("variable")] + with op.batch_alter_table("variable", schema=None) as batch_op: + if "default_fields" not in column_names: + batch_op.add_column(sa.Column("default_fields", sa.JSON(), nullable=True)) + + # ### end Alembic commands ### + + +def downgrade() -> None: + conn = op.get_bind() + inspector = Inspector.from_engine(conn) # type: ignore + # ### commands auto generated by Alembic - please adjust! ### + column_names = [column["name"] for column in inspector.get_columns("variable")] + with op.batch_alter_table("variable", schema=None) as batch_op: + if "default_fields" in column_names: + batch_op.drop_column("default_fields") + + # ### end Alembic commands ### diff --git a/src/backend/base/langflow/alembic/versions/29fe8f1f806b_add_missing_index.py b/src/backend/base/langflow/alembic/versions/29fe8f1f806b_add_missing_index.py new file mode 100644 index 000000000..9a2518df2 --- /dev/null +++ b/src/backend/base/langflow/alembic/versions/29fe8f1f806b_add_missing_index.py @@ -0,0 +1,43 @@ +"""Add missing index + +Revision ID: 29fe8f1f806b +Revises: 012fb73ac359 +Create Date: 2024-05-21 09:23:48.772367 + +""" + +from typing import Sequence, Union + +from alembic import op +from sqlalchemy.engine.reflection import Inspector + +revision: str = "29fe8f1f806b" +down_revision: Union[str, None] = "012fb73ac359" +branch_labels: Union[str, Sequence[str], None] = None +depends_on: Union[str, Sequence[str], None] = None + + +def upgrade() -> None: + conn = op.get_bind() + inspector = Inspector.from_engine(conn) # type: ignore + # ### commands auto generated by Alembic - please adjust! ### + indexes = inspector.get_indexes("flow") + with op.batch_alter_table("flow", schema=None) as batch_op: + indexes_names = [index["name"] for index in indexes] + if "ix_flow_folder_id" not in indexes_names: + batch_op.create_index(batch_op.f("ix_flow_folder_id"), ["folder_id"], unique=False) + + # ### end Alembic commands ### + + +def downgrade() -> None: + conn = op.get_bind() + inspector = Inspector.from_engine(conn) # type: ignore + # ### commands auto generated by Alembic - please adjust! ### + indexes = inspector.get_indexes("flow") + with op.batch_alter_table("flow", schema=None) as batch_op: + indexes_names = [index["name"] for index in indexes] + if "ix_flow_folder_id" in indexes_names: + batch_op.drop_index(batch_op.f("ix_flow_folder_id")) + + # ### end Alembic commands ### diff --git a/src/backend/base/langflow/alembic/versions/6e7b581b5648_fix_nullable.py b/src/backend/base/langflow/alembic/versions/6e7b581b5648_fix_nullable.py new file mode 100644 index 000000000..f9e9cc5e9 --- /dev/null +++ b/src/backend/base/langflow/alembic/versions/6e7b581b5648_fix_nullable.py @@ -0,0 +1,59 @@ +"""Fix nullable + +Revision ID: 6e7b581b5648 +Revises: 58b28437a398 +Create Date: 2024-04-30 09:17:45.024688 + +""" + +from typing import Sequence, Union + +import sqlalchemy as sa +from alembic import op +from sqlalchemy.engine.reflection import Inspector + +# revision identifiers, used by Alembic. +revision: str = "6e7b581b5648" +down_revision: Union[str, None] = "58b28437a398" +branch_labels: Union[str, Sequence[str], None] = None +depends_on: Union[str, Sequence[str], None] = None + + +def upgrade() -> None: + conn = op.get_bind() + inspector = Inspector.from_engine(conn) # type: ignore + # table_names = inspector.get_table_names() + # ### commands auto generated by Alembic - please adjust! ### + columns = inspector.get_columns("apikey") + column_names = {column["name"]: column for column in columns} + with op.batch_alter_table("apikey", schema=None) as batch_op: + created_at_column = [column for column in columns if column["name"] == "created_at"][0] + if "created_at" in column_names and created_at_column.get("nullable"): + batch_op.alter_column( + "created_at", + existing_type=sa.DATETIME(), + nullable=False, + existing_server_default=sa.text("(CURRENT_TIMESTAMP)"), # type: ignore + ) + + # ### end Alembic commands ### + + +def downgrade() -> None: + conn = op.get_bind() + inspector = Inspector.from_engine(conn) # type: ignore + # table_names = inspector.get_table_names() + columns = inspector.get_columns("apikey") + column_names = {column["name"]: column for column in columns} + # ### commands auto generated by Alembic - please adjust! ### + with op.batch_alter_table("apikey", schema=None) as batch_op: + created_at_column = [column for column in columns if column["name"] == "created_at"][0] + if "created_at" in column_names and not created_at_column.get("nullable"): + batch_op.alter_column( + "created_at", + existing_type=sa.DATETIME(), + nullable=True, + existing_server_default=sa.text("(CURRENT_TIMESTAMP)"), # type: ignore + ) + + # ### end Alembic commands ### diff --git a/src/backend/base/langflow/alembic/versions/c153816fd85f_set_name_and_value_to_not_nullable.py b/src/backend/base/langflow/alembic/versions/c153816fd85f_set_name_and_value_to_not_nullable.py new file mode 100644 index 000000000..cec3f6081 --- /dev/null +++ b/src/backend/base/langflow/alembic/versions/c153816fd85f_set_name_and_value_to_not_nullable.py @@ -0,0 +1,52 @@ +"""Set name and value to not nullable + +Revision ID: c153816fd85f +Revises: 1f4d6df60295 +Create Date: 2024-04-30 14:31:23.898995 + +""" + +from typing import Sequence, Union + +import sqlalchemy as sa +from alembic import op +from sqlalchemy.engine.reflection import Inspector + +# revision identifiers, used by Alembic. +revision: str = "c153816fd85f" +down_revision: Union[str, None] = "1f4d6df60295" +branch_labels: Union[str, Sequence[str], None] = None +depends_on: Union[str, Sequence[str], None] = None + + +def upgrade() -> None: + conn = op.get_bind() + inspector = Inspector.from_engine(conn) # type: ignore + # ### commands auto generated by Alembic - please adjust! ### + columns = inspector.get_columns("variable") + with op.batch_alter_table("variable", schema=None) as batch_op: + name_column = [column for column in columns if column["name"] == "name"][0] + if name_column and name_column["nullable"]: + batch_op.alter_column("name", existing_type=sa.VARCHAR(), nullable=False) + value_column = [column for column in columns if column["name"] == "value"][0] + if value_column and value_column["nullable"]: + batch_op.alter_column("value", existing_type=sa.VARCHAR(), nullable=False) + + +# ### end Alembic commands ### + + +def downgrade() -> None: + conn = op.get_bind() + inspector = Inspector.from_engine(conn) # type: ignore + columns = inspector.get_columns("variable") + # ### commands auto generated by Alembic - please adjust! ### + with op.batch_alter_table("variable", schema=None) as batch_op: + name_column = [column for column in columns if column["name"] == "name"][0] + if name_column and not name_column["nullable"]: + batch_op.alter_column("name", existing_type=sa.VARCHAR(), nullable=True) + value_column = [column for column in columns if column["name"] == "value"][0] + if value_column and not value_column["nullable"]: + batch_op.alter_column("name", existing_type=sa.VARCHAR(), nullable=True) + + # ### end Alembic commands ### diff --git a/src/backend/base/langflow/api/router.py b/src/backend/base/langflow/api/router.py index 569014acf..d5d709738 100644 --- a/src/backend/base/langflow/api/router.py +++ b/src/backend/base/langflow/api/router.py @@ -13,6 +13,7 @@ from langflow.api.v1 import ( users_router, validate_router, variables_router, + folders_router, ) router = APIRouter( @@ -29,3 +30,4 @@ router.include_router(login_router) router.include_router(variables_router) router.include_router(files_router) router.include_router(monitor_router) +router.include_router(folders_router) diff --git a/src/backend/base/langflow/api/utils.py b/src/backend/base/langflow/api/utils.py index 0500917a3..f7e0548fe 100644 --- a/src/backend/base/langflow/api/utils.py +++ b/src/backend/base/langflow/api/utils.py @@ -1,3 +1,4 @@ +import os import warnings from pathlib import Path from typing import TYPE_CHECKING, Optional @@ -140,7 +141,10 @@ def get_file_path_value(file_path): # If the path is not in the cache dir, return empty string # This is to prevent access to files outside the cache dir # If the path is not a file, return empty string - if not path.exists() or not str(path).startswith(user_cache_dir("langflow", "langflow")): + if not str(path).startswith(user_cache_dir("langflow", "langflow")): + return "" + + if not path.exists(): return "" return file_path @@ -201,21 +205,27 @@ def format_elapsed_time(elapsed_time: float) -> str: return f"{minutes} {minutes_unit}, {seconds} {seconds_unit}" -async def build_and_cache_graph( +async def build_and_cache_graph_from_db( flow_id: str, session: Session, chat_service: "ChatService", - graph: Optional[Graph] = None, ): """Build and cache the graph.""" flow: Optional[Flow] = session.get(Flow, flow_id) if not flow or not flow.data: raise ValueError("Invalid flow ID") - other_graph = Graph.from_payload(flow.data, flow_id) - if graph is None: - graph = other_graph - else: - graph = graph.update(other_graph) + graph = Graph.from_payload(flow.data, flow_id) + await chat_service.set_cache(flow_id, graph) + return graph + + +async def build_and_cache_graph_from_data( + flow_id: str, + chat_service: "ChatService", + graph_data: dict, +): # -> Graph | Any: + """Build and cache the graph.""" + graph = Graph.from_payload(graph_data, flow_id) await chat_service.set_cache(flow_id, graph) return graph diff --git a/src/backend/base/langflow/api/v1/__init__.py b/src/backend/base/langflow/api/v1/__init__.py index 0342c76c8..efc55cba8 100644 --- a/src/backend/base/langflow/api/v1/__init__.py +++ b/src/backend/base/langflow/api/v1/__init__.py @@ -9,6 +9,7 @@ from langflow.api.v1.store import router as store_router from langflow.api.v1.users import router as users_router from langflow.api.v1.validate import router as validate_router from langflow.api.v1.variable import router as variables_router +from langflow.api.v1.folders import router as folders_router __all__ = [ "chat_router", @@ -22,4 +23,5 @@ __all__ = [ "variables_router", "monitor_router", "files_router", + "folders_router", ] diff --git a/src/backend/base/langflow/api/v1/chat.py b/src/backend/base/langflow/api/v1/chat.py index af69a9b7c..2ae9e7d9f 100644 --- a/src/backend/base/langflow/api/v1/chat.py +++ b/src/backend/base/langflow/api/v1/chat.py @@ -8,13 +8,15 @@ from fastapi.responses import StreamingResponse from loguru import logger from langflow.api.utils import ( - build_and_cache_graph, + build_and_cache_graph_from_data, + build_and_cache_graph_from_db, format_elapsed_time, format_exception_message, get_top_level_vertices, parse_exception, ) from langflow.api.v1.schemas import ( + FlowDataRequest, InputValueRequest, Log, ResultDataResponse, @@ -28,7 +30,7 @@ from langflow.services.deps import get_chat_service, get_session, get_session_se from langflow.services.monitor.utils import log_vertex_build if TYPE_CHECKING: - from langflow.graph.vertex.types import ChatVertex + from langflow.graph.vertex.types import InterfaceVertex from langflow.services.session.service import SessionService router = APIRouter(tags=["Chat"]) @@ -50,9 +52,10 @@ async def try_running_celery_task(vertex, user_id): return vertex -@router.get("/build/{flow_id}/vertices", response_model=VerticesOrderResponse) -async def get_vertices( - flow_id: str, +@router.post("/build/{flow_id}/vertices", response_model=VerticesOrderResponse) +async def retrieve_vertices_order( + flow_id: uuid.UUID, + data: Optional[Annotated[Optional[FlowDataRequest], Body(embed=True)]] = None, stop_component_id: Optional[str] = None, start_component_id: Optional[str] = None, chat_service: "ChatService" = Depends(get_chat_service), @@ -63,6 +66,7 @@ async def get_vertices( Args: flow_id (str): The ID of the flow. + data (Optional[FlowDataRequest], optional): The flow data. Defaults to None. stop_component_id (str, optional): The ID of the stop component. Defaults to None. start_component_id (str, optional): The ID of the start component. Defaults to None. chat_service (ChatService, optional): The chat service dependency. Defaults to Depends(get_chat_service). @@ -75,11 +79,15 @@ async def get_vertices( HTTPException: If there is an error checking the build status. """ try: + flow_id_str = str(flow_id) # First, we need to check if the flow_id is in the cache - graph = None - if cache := await chat_service.get_cache(flow_id): - graph = cache.get("result") - graph = await build_and_cache_graph(flow_id, session, chat_service, graph) + if not data: + graph = await build_and_cache_graph_from_db(flow_id=flow_id_str, session=session, chat_service=chat_service) + else: + graph = await build_and_cache_graph_from_data( + flow_id=flow_id_str, graph_data=data.model_dump(), chat_service=chat_service + ) + graph.validate_stream() if stop_component_id or start_component_id: try: first_layer = graph.sort_vertices(stop_component_id, start_component_id) @@ -104,6 +112,8 @@ async def get_vertices( return VerticesOrderResponse(ids=first_layer, run_id=run_id, vertices_to_run=vertices_to_run) except Exception as exc: + if "stream or streaming set to True" in str(exc): + raise HTTPException(status_code=400, detail=str(exc)) logger.error(f"Error checking build status: {exc}") logger.exception(exc) raise HTTPException(status_code=500, detail=str(exc)) from exc @@ -111,7 +121,7 @@ async def get_vertices( @router.post("/build/{flow_id}/vertices/{vertex_id}") async def build_vertex( - flow_id: str, + flow_id: uuid.UUID, vertex_id: str, background_tasks: BackgroundTasks, inputs: Annotated[Optional[InputValueRequest], Body(embed=True)] = None, @@ -136,25 +146,25 @@ async def build_vertex( HTTPException: If there is an error building the vertex. """ + flow_id_str = str(flow_id) - start_time = time.perf_counter() next_runnable_vertices = [] top_level_vertices = [] try: start_time = time.perf_counter() - cache = await chat_service.get_cache(flow_id) + cache = await chat_service.get_cache(flow_id_str) if not cache: # If there's no cache - logger.warning(f"No cache found for {flow_id}. Building graph starting at {vertex_id}") - graph = await build_and_cache_graph(flow_id=flow_id, session=next(get_session()), chat_service=chat_service) + logger.warning(f"No cache found for {flow_id_str}. Building graph starting at {vertex_id}") + graph = await build_and_cache_graph_from_db( + flow_id=flow_id_str, session=next(get_session()), chat_service=chat_service + ) else: graph = cache.get("result") - result_data_response = ResultDataResponse(results={}) - duration = "" vertex = graph.get_vertex(vertex_id) try: - lock = chat_service._cache_locks[flow_id] - set_cache_coro = partial(chat_service.set_cache, flow_id=flow_id) + lock = chat_service._cache_locks[flow_id_str] + set_cache_coro = partial(chat_service.set_cache, flow_id=flow_id_str) ( next_runnable_vertices, top_level_vertices, @@ -181,7 +191,7 @@ async def build_vertex( # If there's an error building the vertex # we need to clear the cache - await chat_service.clear_cache(flow_id) + await chat_service.clear_cache(flow_id_str) log_object = Log(message=log_message) result_data_response.logs.append(log_object) @@ -190,7 +200,7 @@ async def build_vertex( if not vertex.will_stream: background_tasks.add_task( log_vertex_build, - flow_id=flow_id, + flow_id=flow_id_str, vertex_id=vertex_id, valid=valid, logs=result_data_response.logs, @@ -234,7 +244,7 @@ async def build_vertex( @router.get("/build/{flow_id}/{vertex_id}/stream", response_class=StreamingResponse) async def build_vertex_stream( - flow_id: str, + flow_id: uuid.UUID, vertex_id: str, session_id: Optional[str] = None, chat_service: "ChatService" = Depends(get_chat_service), @@ -266,23 +276,24 @@ async def build_vertex_stream( HTTPException: If an error occurs while building the vertex. """ try: + flow_id_str = str(flow_id) async def stream_vertex(): try: if not session_id: - cache = await chat_service.get_cache(flow_id) + cache = await chat_service.get_cache(flow_id_str) if not cache: # If there's no cache - raise ValueError(f"No cache found for {flow_id}.") + raise ValueError(f"No cache found for {flow_id_str}.") else: graph = cache.get("result") else: - session_data = await session_service.load_session(session_id, flow_id=flow_id) + session_data = await session_service.load_session(session_id, flow_id=flow_id_str) graph, artifacts = session_data if session_data else (None, None) if not graph: - raise ValueError(f"No graph found for {flow_id}.") + raise ValueError(f"No graph found for {flow_id_str}.") - vertex: "ChatVertex" = graph.get_vertex(vertex_id) + vertex: "InterfaceVertex" = graph.get_vertex(vertex_id) if not hasattr(vertex, "stream"): raise ValueError(f"Vertex {vertex_id} does not support streaming") if isinstance(vertex._built_result, str) and vertex._built_result: diff --git a/src/backend/base/langflow/api/v1/endpoints.py b/src/backend/base/langflow/api/v1/endpoints.py index 32faae472..e529de81c 100644 --- a/src/backend/base/langflow/api/v1/endpoints.py +++ b/src/backend/base/langflow/api/v1/endpoints.py @@ -1,5 +1,6 @@ from http import HTTPStatus from typing import Annotated, List, Optional, Union +from uuid import UUID import sqlalchemy as sa from fastapi import APIRouter, Body, Depends, HTTPException, UploadFile, status @@ -20,7 +21,6 @@ from langflow.api.v1.schemas import ( from langflow.graph.graph.base import Graph from langflow.graph.schema import RunOutputs from langflow.interface.custom.custom_component import CustomComponent -from langflow.interface.custom.directory_reader import DirectoryReader from langflow.interface.custom.utils import build_custom_component_template from langflow.processing.process import process_tweaks, run_graph_internal from langflow.schema.graph import Tweaks @@ -54,7 +54,7 @@ def get_all( @router.post("/run/{flow_id}", response_model=RunResponse, response_model_exclude_none=True) async def simplified_run_flow( db: Annotated[Session, Depends(get_session)], - flow_id: str, + flow_id: UUID, input_request: SimplifiedAPIRequest = SimplifiedAPIRequest(), stream: bool = False, api_key_user: User = Depends(api_key_security), @@ -111,26 +111,26 @@ async def simplified_run_flow( session_id = input_request.session_id try: - task_result: List[RunOutputs] = [] + flow_id_str = str(flow_id) artifacts = {} if input_request.session_id: - session_data = await session_service.load_session(input_request.session_id, flow_id=flow_id) + session_data = await session_service.load_session(input_request.session_id, flow_id=flow_id_str) graph, artifacts = session_data if session_data else (None, None) if graph is None: raise ValueError(f"Session {input_request.session_id} not found") else: # Get the flow that matches the flow_id and belongs to the user # flow = session.query(Flow).filter(Flow.id == flow_id).filter(Flow.user_id == api_key_user.id).first() - flow = db.exec(select(Flow).where(Flow.id == flow_id).where(Flow.user_id == api_key_user.id)).first() + flow = db.exec(select(Flow).where(Flow.id == flow_id_str).where(Flow.user_id == api_key_user.id)).first() if flow is None: - raise ValueError(f"Flow {flow_id} not found") + raise ValueError(f"Flow {flow_id_str} not found") if flow.data is None: - raise ValueError(f"Flow {flow_id} has no data") + raise ValueError(f"Flow {flow_id_str} has no data") graph_data = flow.data graph_data = process_tweaks(graph_data, input_request.tweaks or {}, stream=stream) - graph = Graph.from_payload(graph_data, flow_id=flow_id, user_id=api_key_user.id) + graph = Graph.from_payload(graph_data, flow_id=flow_id_str, user_id=str(api_key_user.id)) inputs = [ InputValueRequest(components=[], input_value=input_request.input_value, type=input_request.input_type) ] @@ -153,7 +153,7 @@ async def simplified_run_flow( ] task_result, session_id = await run_graph_internal( graph=graph, - flow_id=flow_id, + flow_id=flow_id_str, session_id=input_request.session_id, inputs=inputs, outputs=outputs, @@ -166,12 +166,12 @@ async def simplified_run_flow( except sa.exc.StatementError as exc: # StatementError('(builtins.ValueError) badly formed hexadecimal UUID string') if "badly formed hexadecimal UUID string" in str(exc): - logger.error(f"Flow ID {flow_id} is not a valid UUID") + logger.error(f"Flow ID {flow_id_str} is not a valid UUID") # This means the Flow ID is not a valid UUID which means it can't find the flow raise HTTPException(status_code=status.HTTP_404_NOT_FOUND, detail=str(exc)) from exc except ValueError as exc: - if f"Flow {flow_id} not found" in str(exc): - logger.error(f"Flow {flow_id} not found") + if f"Flow {flow_id_str} not found" in str(exc): + logger.error(f"Flow {flow_id_str} not found") raise HTTPException(status_code=status.HTTP_404_NOT_FOUND, detail=str(exc)) from exc elif f"Session {session_id} not found" in str(exc): logger.error(f"Session {session_id} not found") @@ -187,7 +187,7 @@ async def simplified_run_flow( @router.post("/run/advanced/{flow_id}", response_model=RunResponse, response_model_exclude_none=True) async def experimental_run_flow( session: Annotated[Session, Depends(get_session)], - flow_id: str, + flow_id: UUID, inputs: Optional[List[InputValueRequest]] = [InputValueRequest(components=[], input_value="")], outputs: Optional[List[str]] = [], tweaks: Annotated[Optional[Tweaks], Body(embed=True)] = None, # noqa: F821 @@ -235,31 +235,33 @@ async def experimental_run_flow( This endpoint facilitates complex flow executions with customized inputs, outputs, and configurations, catering to diverse application requirements. """ try: + flow_id_str = str(flow_id) if outputs is None: outputs = [] - task_result: List[RunOutputs] = [] artifacts = {} if session_id: - session_data = await session_service.load_session(session_id, flow_id=flow_id) + session_data = await session_service.load_session(session_id, flow_id=flow_id_str) graph, artifacts = session_data if session_data else (None, None) if graph is None: raise ValueError(f"Session {session_id} not found") else: # Get the flow that matches the flow_id and belongs to the user # flow = session.query(Flow).filter(Flow.id == flow_id).filter(Flow.user_id == api_key_user.id).first() - flow = session.exec(select(Flow).where(Flow.id == flow_id).where(Flow.user_id == api_key_user.id)).first() + flow = session.exec( + select(Flow).where(Flow.id == flow_id_str).where(Flow.user_id == api_key_user.id) + ).first() if flow is None: - raise ValueError(f"Flow {flow_id} not found") + raise ValueError(f"Flow {flow_id_str} not found") if flow.data is None: - raise ValueError(f"Flow {flow_id} has no data") + raise ValueError(f"Flow {flow_id_str} has no data") graph_data = flow.data graph_data = process_tweaks(graph_data, tweaks or {}) - graph = Graph.from_payload(graph_data, flow_id=flow_id) + graph = Graph.from_payload(graph_data, flow_id=flow_id_str) task_result, session_id = await run_graph_internal( graph=graph, - flow_id=flow_id, + flow_id=flow_id_str, session_id=session_id, inputs=inputs, outputs=outputs, @@ -272,12 +274,12 @@ async def experimental_run_flow( except sa.exc.StatementError as exc: # StatementError('(builtins.ValueError) badly formed hexadecimal UUID string') if "badly formed hexadecimal UUID string" in str(exc): - logger.error(f"Flow ID {flow_id} is not a valid UUID") + logger.error(f"Flow ID {flow_id_str} is not a valid UUID") # This means the Flow ID is not a valid UUID which means it can't find the flow raise HTTPException(status_code=status.HTTP_404_NOT_FOUND, detail=str(exc)) from exc except ValueError as exc: - if f"Flow {flow_id} not found" in str(exc): - logger.error(f"Flow {flow_id} not found") + if f"Flow {flow_id_str} not found" in str(exc): + logger.error(f"Flow {flow_id_str} not found") raise HTTPException(status_code=status.HTTP_404_NOT_FOUND, detail=str(exc)) from exc elif f"Session {session_id} not found" in str(exc): logger.error(f"Session {session_id} not found") @@ -357,13 +359,14 @@ async def get_task_status(task_id: str): ) async def create_upload_file( file: UploadFile, - flow_id: str, + flow_id: UUID, ): try: - file_path = save_uploaded_file(file, folder_name=flow_id) + flow_id_str = str(flow_id) + file_path = save_uploaded_file(file, folder_name=flow_id_str) return UploadFileResponse( - flowId=flow_id, + flowId=flow_id_str, file_path=file_path, ) except Exception as exc: @@ -400,23 +403,6 @@ async def custom_component( return built_frontend_node -@router.post("/custom_component/reload", status_code=HTTPStatus.OK) -async def reload_custom_component(path: str, user: User = Depends(get_current_active_user)): - from langflow.interface.custom.utils import build_custom_component_template - - try: - reader = DirectoryReader("") - valid, content = reader.process_file(path) - if not valid: - raise ValueError(content) - - extractor = CustomComponent(code=content) - frontend_node, _ = build_custom_component_template(extractor, user_id=user.id) - return frontend_node - except Exception as exc: - raise HTTPException(status_code=400, detail=str(exc)) - - @router.post("/custom_component/update", status_code=HTTPStatus.OK) async def custom_component_update( code_request: UpdateCustomComponentRequest, diff --git a/src/backend/base/langflow/api/v1/files.py b/src/backend/base/langflow/api/v1/files.py index 435aea826..bbe97f81a 100644 --- a/src/backend/base/langflow/api/v1/files.py +++ b/src/backend/base/langflow/api/v1/files.py @@ -1,6 +1,7 @@ import hashlib from http import HTTPStatus from io import BytesIO +from uuid import UUID from fastapi import APIRouter, Depends, HTTPException, UploadFile from fastapi.responses import StreamingResponse @@ -20,38 +21,41 @@ router = APIRouter(tags=["Files"], prefix="/files") # then finds it in the database and returns it while # using the current user as the owner def get_flow_id( - flow_id: str, + flow_id: UUID, current_user=Depends(get_current_active_user), session=Depends(get_session), ): + flow_id_str = str(flow_id) # AttributeError: 'SelectOfScalar' object has no attribute 'first' - flow = session.get(Flow, flow_id) + flow = session.get(Flow, flow_id_str) if not flow: raise HTTPException(status_code=404, detail="Flow not found") if flow.user_id != current_user.id: raise HTTPException(status_code=403, detail="You don't have access to this flow") - return flow_id + return flow_id_str @router.post("/upload/{flow_id}", status_code=HTTPStatus.CREATED) async def upload_file( file: UploadFile, - flow_id: str = Depends(get_flow_id), + flow_id: UUID = Depends(get_flow_id), storage_service: StorageService = Depends(get_storage_service), ): try: + flow_id_str = str(flow_id) file_content = await file.read() file_name = file.filename or hashlib.sha256(file_content).hexdigest() - folder = flow_id + folder = flow_id_str await storage_service.save_file(flow_id=folder, file_name=file_name, data=file_content) - return UploadFileResponse(flowId=flow_id, file_path=f"{folder}/{file_name}") + return UploadFileResponse(flowId=flow_id_str, file_path=f"{folder}/{file_name}") except Exception as e: raise HTTPException(status_code=500, detail=str(e)) @router.get("/download/{flow_id}/{file_name}") -async def download_file(file_name: str, flow_id: str, storage_service: StorageService = Depends(get_storage_service)): +async def download_file(file_name: str, flow_id: UUID, storage_service: StorageService = Depends(get_storage_service)): try: + flow_id_str = str(flow_id) extension = file_name.split(".")[-1] if not extension: @@ -62,7 +66,7 @@ async def download_file(file_name: str, flow_id: str, storage_service: StorageSe if not content_type: raise HTTPException(status_code=500, detail=f"Content type not found for extension {extension}") - file_content = await storage_service.get_file(flow_id=flow_id, file_name=file_name) + file_content = await storage_service.get_file(flow_id=flow_id_str, file_name=file_name) headers = { "Content-Disposition": f"attachment; filename={file_name} filename*=UTF-8''{file_name}", "Content-Type": "application/octet-stream", @@ -74,9 +78,10 @@ async def download_file(file_name: str, flow_id: str, storage_service: StorageSe @router.get("/images/{flow_id}/{file_name}") -async def download_image(file_name: str, flow_id: str, storage_service: StorageService = Depends(get_storage_service)): +async def download_image(file_name: str, flow_id: UUID, storage_service: StorageService = Depends(get_storage_service)): try: extension = file_name.split(".")[-1] + flow_id_str = str(flow_id) if not extension: raise HTTPException(status_code=500, detail=f"Extension not found for file {file_name}") @@ -88,7 +93,7 @@ async def download_image(file_name: str, flow_id: str, storage_service: StorageS elif not content_type.startswith("image"): raise HTTPException(status_code=500, detail=f"Content type {content_type} is not an image") - file_content = await storage_service.get_file(flow_id=flow_id, file_name=file_name) + file_content = await storage_service.get_file(flow_id=flow_id_str, file_name=file_name) return StreamingResponse(BytesIO(file_content), media_type=content_type) except Exception as e: raise HTTPException(status_code=500, detail=str(e)) @@ -96,10 +101,11 @@ async def download_image(file_name: str, flow_id: str, storage_service: StorageS @router.get("/list/{flow_id}") async def list_files( - flow_id: str = Depends(get_flow_id), storage_service: StorageService = Depends(get_storage_service) + flow_id: UUID = Depends(get_flow_id), storage_service: StorageService = Depends(get_storage_service) ): try: - files = await storage_service.list_files(flow_id=flow_id) + flow_id_str = str(flow_id) + files = await storage_service.list_files(flow_id=flow_id_str) return {"files": files} except Exception as e: raise HTTPException(status_code=500, detail=str(e)) @@ -107,10 +113,11 @@ async def list_files( @router.delete("/delete/{flow_id}/{file_name}") async def delete_file( - file_name: str, flow_id: str = Depends(get_flow_id), storage_service: StorageService = Depends(get_storage_service) + file_name: str, flow_id: UUID = Depends(get_flow_id), storage_service: StorageService = Depends(get_storage_service) ): try: - await storage_service.delete_file(flow_id=flow_id, file_name=file_name) + flow_id_str = str(flow_id) + await storage_service.delete_file(flow_id=flow_id_str, file_name=file_name) return {"message": f"File {file_name} deleted successfully"} except Exception as e: raise HTTPException(status_code=500, detail=str(e)) diff --git a/src/backend/base/langflow/api/v1/flows.py b/src/backend/base/langflow/api/v1/flows.py index bd055f120..7fe7c516b 100644 --- a/src/backend/base/langflow/api/v1/flows.py +++ b/src/backend/base/langflow/api/v1/flows.py @@ -1,4 +1,4 @@ -from datetime import datetime +from datetime import datetime, timezone from typing import List from uuid import UUID @@ -6,13 +6,15 @@ import orjson from fastapi import APIRouter, Depends, File, HTTPException, UploadFile from fastapi.encoders import jsonable_encoder from loguru import logger -from sqlmodel import Session, select +from sqlmodel import Session, col, select from langflow.api.utils import remove_api_keys, validate_is_component -from langflow.api.v1.schemas import FlowListCreate, FlowListRead +from langflow.api.v1.schemas import FlowListCreate, FlowListIds, FlowListRead from langflow.initial_setup.setup import STARTER_FOLDER_NAME from langflow.services.auth.utils import get_current_active_user from langflow.services.database.models.flow import Flow, FlowCreate, FlowRead, FlowUpdate +from langflow.services.database.models.folder.constants import DEFAULT_FOLDER_NAME +from langflow.services.database.models.folder.model import Folder from langflow.services.database.models.user.model import User from langflow.services.deps import get_session, get_settings_service from langflow.services.settings.service import SettingsService @@ -33,7 +35,12 @@ def create_flow( flow.user_id = current_user.id db_flow = Flow.model_validate(flow, from_attributes=True) - db_flow.updated_at = datetime.utcnow() + db_flow.updated_at = datetime.now(timezone.utc) + + if db_flow.folder_id is None: + default_folder = session.exec(select(Folder).where(Folder.name == DEFAULT_FOLDER_NAME)).first() + if default_folder: + db_flow.folder_id = default_folder.id session.add(db_flow) session.commit() @@ -64,12 +71,9 @@ def read_flows( flow_ids = [flow.id for flow in flows] # with the session get the flows that DO NOT have a user_id try: - example_flows = session.exec( - select(Flow).where( - Flow.user_id == None, # noqa - Flow.folder == STARTER_FOLDER_NAME, - ) - ).all() + folder = session.exec(select(Folder).where(Folder.name == STARTER_FOLDER_NAME)).first() + + example_flows = folder.flows if folder else [] for example_flow in example_flows: if example_flow.id not in flow_ids: flows.append(example_flow) # type: ignore @@ -128,7 +132,11 @@ def update_flow( for key, value in flow_data.items(): if value is not None: setattr(db_flow, key, value) - db_flow.updated_at = datetime.utcnow() + db_flow.updated_at = datetime.now(timezone.utc) + if db_flow.folder_id is None: + default_folder = session.exec(select(Folder).where(Folder.name == DEFAULT_FOLDER_NAME)).first() + if default_folder: + db_flow.folder_id = default_folder.id session.add(db_flow) session.commit() session.refresh(db_flow) @@ -208,3 +216,31 @@ async def download_file( """Download all flows as a file.""" flows = read_flows(current_user=current_user, session=session, settings_service=settings_service) return FlowListRead(flows=flows) + + +@router.post("/multiple_delete/") +async def delete_multiple_flows( + flow_ids: FlowListIds, user: User = Depends(get_current_active_user), db: Session = Depends(get_session) +): + """ + Delete multiple flows by their IDs. + + Args: + flow_ids (List[str]): The list of flow IDs to delete. + user (User, optional): The user making the request. Defaults to the current active user. + + Returns: + dict: A dictionary containing the number of flows deleted. + + """ + try: + deleted_flows = db.exec( + select(Flow).where(col(Flow.id).in_(flow_ids.flow_ids)).where(Flow.user_id == user.id) + ).all() + for flow in deleted_flows: + db.delete(flow) + db.commit() + return {"deleted": len(deleted_flows)} + except Exception as exc: + logger.exception(exc) + raise HTTPException(status_code=500, detail=str(exc)) from exc diff --git a/src/backend/base/langflow/api/v1/folders.py b/src/backend/base/langflow/api/v1/folders.py new file mode 100644 index 000000000..96729133b --- /dev/null +++ b/src/backend/base/langflow/api/v1/folders.py @@ -0,0 +1,233 @@ +from typing import List +from uuid import UUID + +import orjson +from fastapi import APIRouter, Depends, File, HTTPException, Response, UploadFile, status +from sqlalchemy import update +from sqlmodel import Session, select + +from langflow.api.v1.flows import create_flows +from langflow.api.v1.schemas import FlowListCreate, FlowListReadWithFolderName +from langflow.initial_setup.setup import STARTER_FOLDER_NAME +from langflow.services.auth.utils import get_current_active_user +from langflow.services.database.models.flow.model import Flow, FlowCreate, FlowRead +from langflow.services.database.models.folder.constants import DEFAULT_FOLDER_NAME +from langflow.services.database.models.folder.model import ( + Folder, + FolderCreate, + FolderRead, + FolderReadWithFlows, + FolderUpdate, +) +from langflow.services.database.models.user.model import User +from langflow.services.deps import get_session + +router = APIRouter(prefix="/folders", tags=["Folders"]) + + +@router.post("/", response_model=FolderRead, status_code=201) +def create_folder( + *, + session: Session = Depends(get_session), + folder: FolderCreate, + current_user: User = Depends(get_current_active_user), +): + try: + new_folder = Folder.model_validate(folder, from_attributes=True) + new_folder.user_id = current_user.id + session.add(new_folder) + session.commit() + session.refresh(new_folder) + + if folder.components_list: + update_statement_components = ( + update(Flow).where(Flow.id.in_(folder.components_list)).values(folder_id=new_folder.id) # type: ignore + ) + session.exec(update_statement_components) # type: ignore + session.commit() + + if folder.flows_list: + update_statement_flows = update(Flow).where(Flow.id.in_(folder.flows_list)).values(folder_id=new_folder.id) # type: ignore + session.exec(update_statement_flows) # type: ignore + session.commit() + + return new_folder + except Exception as e: + raise HTTPException(status_code=500, detail=str(e)) + + +@router.get("/", response_model=List[FolderRead], status_code=200) +def read_folders( + *, + session: Session = Depends(get_session), + current_user: User = Depends(get_current_active_user), +): + try: + folders = session.exec(select(Folder).where(Folder.user_id == current_user.id)).all() + return folders + except Exception as e: + raise HTTPException(status_code=500, detail=str(e)) + + +@router.get("/starter-projects", response_model=FolderReadWithFlows, status_code=200) +def read_starter_folders(*, session: Session = Depends(get_session)): + try: + folders = session.exec(select(Folder).where(Folder.name == STARTER_FOLDER_NAME)).first() + return folders + except Exception as e: + raise HTTPException(status_code=500, detail=str(e)) + + +@router.get("/{folder_id}", response_model=FolderReadWithFlows, status_code=200) +def read_folder( + *, + session: Session = Depends(get_session), + folder_id: UUID, + current_user: User = Depends(get_current_active_user), +): + try: + folder = session.exec(select(Folder).where(Folder.id == folder_id, Folder.user_id == current_user.id)).first() + if not folder: + raise HTTPException(status_code=404, detail="Folder not found") + return folder + except Exception as e: + if "No result found" in str(e): + raise HTTPException(status_code=404, detail="Folder not found") + raise HTTPException(status_code=500, detail=str(e)) + + +@router.patch("/{folder_id}", response_model=FolderRead, status_code=200) +def update_folder( + *, + session: Session = Depends(get_session), + folder_id: UUID, + folder: FolderUpdate, # Assuming FolderUpdate is a Pydantic model defining updatable fields + current_user: User = Depends(get_current_active_user), +): + try: + existing_folder = session.exec( + select(Folder).where(Folder.id == folder_id, Folder.user_id == current_user.id) + ).first() + if not existing_folder: + raise HTTPException(status_code=404, detail="Folder not found") + folder_data = folder.model_dump(exclude_unset=True) + for key, value in folder_data.items(): + if key != "components" and key != "flows": + setattr(existing_folder, key, value) + session.add(existing_folder) + session.commit() + session.refresh(existing_folder) + + concat_folder_components = folder.components + folder.flows + + flows_ids = session.exec(select(Flow.id).where(Flow.folder_id == existing_folder.id)).all() + + excluded_flows = list(set(flows_ids) - set(concat_folder_components)) + + my_collection_folder = session.exec(select(Folder).where(Folder.name == DEFAULT_FOLDER_NAME)).first() + if my_collection_folder: + update_statement_my_collection = ( + update(Flow).where(Flow.id.in_(excluded_flows)).values(folder_id=my_collection_folder.id) # type: ignore + ) + session.exec(update_statement_my_collection) # type: ignore + session.commit() + + if concat_folder_components: + update_statement_components = ( + update(Flow).where(Flow.id.in_(concat_folder_components)).values(folder_id=existing_folder.id) # type: ignore + ) + session.exec(update_statement_components) # type: ignore + session.commit() + + return existing_folder + + except Exception as e: + raise HTTPException(status_code=500, detail=str(e)) + + +@router.delete("/{folder_id}", status_code=204) +def delete_folder( + *, + session: Session = Depends(get_session), + folder_id: UUID, + current_user: User = Depends(get_current_active_user), +): + try: + folder = session.exec(select(Folder).where(Folder.id == folder_id, Folder.user_id == current_user.id)).first() + if not folder: + raise HTTPException(status_code=404, detail="Folder not found") + session.delete(folder) + session.commit() + flows = session.exec(select(Flow).where(Flow.folder_id == folder_id, Folder.user_id == current_user.id)).all() + for flow in flows: + session.delete(flow) + session.commit() + return Response(status_code=status.HTTP_204_NO_CONTENT) + except Exception as e: + raise HTTPException(status_code=500, detail=str(e)) + + +@router.get("/download/{folder_id}", response_model=FlowListReadWithFolderName, status_code=200) +async def download_file( + *, + session: Session = Depends(get_session), + folder_id: UUID, + current_user: User = Depends(get_current_active_user), +): + """Download all flows from folder.""" + try: + folder = session.exec(select(Folder).where(Folder.id == folder_id, Folder.user_id == current_user.id)).first() + return folder + except Exception as e: + if "No result found" in str(e): + raise HTTPException(status_code=404, detail="Folder not found") + raise HTTPException(status_code=500, detail=str(e)) + + +@router.post("/upload/", response_model=List[FlowRead], status_code=201) +async def upload_file( + *, + session: Session = Depends(get_session), + file: UploadFile = File(...), + current_user: User = Depends(get_current_active_user), +): + """Upload flows from a file.""" + contents = await file.read() + data = orjson.loads(contents) + + if not data: + raise HTTPException(status_code=400, detail="No flows found in the file") + + folder_results = session.exec( + select(Folder).where( + Folder.name == data["folder_name"], + Folder.user_id == current_user.id, + ) + ) + existing_folder_names = [folder.name for folder in folder_results] + + if existing_folder_names: + data["folder_name"] = f"{data['folder_name']} ({len(existing_folder_names) + 1})" + + folder = FolderCreate(name=data["folder_name"], description=data["folder_description"]) + + new_folder = Folder.model_validate(folder, from_attributes=True) + new_folder.id = None + new_folder.user_id = current_user.id + session.add(new_folder) + session.commit() + session.refresh(new_folder) + + del data["folder_name"] + del data["folder_description"] + + if "flows" in data: + flow_list = FlowListCreate(flows=[FlowCreate(**flow) for flow in data["flows"]]) + else: + raise HTTPException(status_code=400, detail="No flows found in the data") + # Now we set the user_id for all flows + for flow in flow_list.flows: + flow.user_id = current_user.id + flow.folder_id = new_folder.id + + return create_flows(session=session, flow_list=flow_list, current_user=current_user) diff --git a/src/backend/base/langflow/api/v1/login.py b/src/backend/base/langflow/api/v1/login.py index 8c9fb5bd4..69a1d5876 100644 --- a/src/backend/base/langflow/api/v1/login.py +++ b/src/backend/base/langflow/api/v1/login.py @@ -1,5 +1,7 @@ from fastapi import APIRouter, Depends, HTTPException, Request, Response, status from fastapi.security import OAuth2PasswordRequestForm +from sqlmodel import Session + from langflow.api.v1.schemas import Token from langflow.services.auth.utils import ( authenticate_user, @@ -7,14 +9,10 @@ from langflow.services.auth.utils import ( create_user_longterm_token, create_user_tokens, ) -from langflow.services.deps import ( - get_session, - get_settings_service, - get_variable_service, -) +from langflow.services.database.models.folder.utils import create_default_folder_if_it_doesnt_exist +from langflow.services.deps import get_session, get_settings_service, get_variable_service from langflow.services.settings.manager import SettingsService from langflow.services.variable.service import VariableService -from sqlmodel import Session router = APIRouter(tags=["Login"]) @@ -58,6 +56,8 @@ async def login_to_get_access_token( expires=auth_settings.ACCESS_TOKEN_EXPIRE_SECONDS, ) variable_service.initialize_user_variables(user.id, db) + # Create default folder for user if it doesn't exist + create_default_folder_if_it_doesnt_exist(db, user.id) return tokens else: raise HTTPException( @@ -86,6 +86,7 @@ async def auto_login( expires=None, # Set to None to make it a session cookie ) variable_service.initialize_user_variables(user_id, db) + create_default_folder_if_it_doesnt_exist(db, user_id) return tokens raise HTTPException( @@ -139,4 +140,3 @@ async def logout(response: Response): response.delete_cookie("refresh_token_lf") response.delete_cookie("access_token_lf") return {"message": "Logout successful"} - return {"message": "Logout successful"} diff --git a/src/backend/base/langflow/api/v1/monitor.py b/src/backend/base/langflow/api/v1/monitor.py index af12f2f7f..05fee6f03 100644 --- a/src/backend/base/langflow/api/v1/monitor.py +++ b/src/backend/base/langflow/api/v1/monitor.py @@ -1,9 +1,13 @@ -from typing import Optional +from typing import List, Optional from fastapi import APIRouter, Depends, HTTPException, Query from langflow.services.deps import get_monitor_service -from langflow.services.monitor.schema import VertexBuildMapModel +from langflow.services.monitor.schema import ( + MessageModelResponse, + TransactionModelResponse, + VertexBuildMapModel, +) from langflow.services.monitor.service import MonitorService router = APIRouter(prefix="/monitor", tags=["Monitor"]) @@ -39,8 +43,9 @@ async def delete_vertex_builds( raise HTTPException(status_code=500, detail=str(e)) -@router.get("/messages") +@router.get("/messages", response_model=List[MessageModelResponse]) async def get_messages( + flow_id: Optional[str] = Query(None), session_id: Optional[str] = Query(None), sender: Optional[str] = Query(None), sender_name: Optional[str] = Query(None), @@ -48,25 +53,32 @@ async def get_messages( monitor_service: MonitorService = Depends(get_monitor_service), ): try: - return monitor_service.get_messages( + df = monitor_service.get_messages( + flow_id=flow_id, sender=sender, sender_name=sender_name, session_id=session_id, order_by=order_by, ) + dicts = df.to_dict(orient="records") + return [MessageModelResponse(**d) for d in dicts] except Exception as e: raise HTTPException(status_code=500, detail=str(e)) -@router.get("/transactions") +@router.get("/transactions", response_model=List[TransactionModelResponse]) async def get_transactions( source: Optional[str] = Query(None), target: Optional[str] = Query(None), status: Optional[str] = Query(None), order_by: Optional[str] = Query("timestamp"), + flow_id: Optional[str] = Query(None), monitor_service: MonitorService = Depends(get_monitor_service), ): try: - return monitor_service.get_transactions(source=source, target=target, status=status, order_by=order_by) + dicts = monitor_service.get_transactions( + source=source, target=target, status=status, order_by=order_by, flow_id=flow_id + ) + return [TransactionModelResponse(**d) for d in dicts] except Exception as e: raise HTTPException(status_code=500, detail=str(e)) diff --git a/src/backend/base/langflow/api/v1/schemas.py b/src/backend/base/langflow/api/v1/schemas.py index 1f70519cf..b091b7ef1 100644 --- a/src/backend/base/langflow/api/v1/schemas.py +++ b/src/backend/base/langflow/api/v1/schemas.py @@ -28,7 +28,7 @@ class BuildStatus(Enum): class TweaksRequest(BaseModel): - tweaks: Optional[Dict[str, Dict[str, str]]] = Field(default_factory=dict) + tweaks: Optional[Dict[str, Dict[str, Any]]] = Field(default_factory=dict) class UpdateTemplateRequest(BaseModel): @@ -141,10 +141,20 @@ class FlowListCreate(BaseModel): flows: List[FlowCreate] +class FlowListIds(BaseModel): + flow_ids: List[str] + + class FlowListRead(BaseModel): flows: List[FlowRead] +class FlowListReadWithFolderName(BaseModel): + flows: List[FlowRead] + name: str + description: str + + class InitResponse(BaseModel): flowId: str @@ -299,3 +309,15 @@ class SimplifiedAPIRequest(BaseModel): ) tweaks: Optional[Tweaks] = Field(default=None, description="The tweaks") session_id: Optional[str] = Field(default=None, description="The session id") + + +# (alias) type ReactFlowJsonObject = { +# nodes: Node[]; +# edges: Edge[]; +# viewport: Viewport; +# } +# import ReactFlowJsonObject +class FlowDataRequest(BaseModel): + nodes: List[dict] + edges: List[dict] + viewport: Optional[dict] = None diff --git a/src/backend/base/langflow/api/v1/users.py b/src/backend/base/langflow/api/v1/users.py index 7a6d4b7c6..f7261e9d2 100644 --- a/src/backend/base/langflow/api/v1/users.py +++ b/src/backend/base/langflow/api/v1/users.py @@ -13,6 +13,7 @@ from langflow.services.auth.utils import ( get_password_hash, verify_password, ) +from langflow.services.database.models.folder.utils import create_default_folder_if_it_doesnt_exist from langflow.services.database.models.user import User, UserCreate, UserRead, UserUpdate from langflow.services.database.models.user.crud import get_user_by_id, update_user from langflow.services.deps import get_session, get_settings_service @@ -36,6 +37,9 @@ def add_user( session.add(new_user) session.commit() session.refresh(new_user) + folder = create_default_folder_if_it_doesnt_exist(session, new_user.id) + if not folder: + raise HTTPException(status_code=500, detail="Error creating default folder") except IntegrityError as e: session.rollback() raise HTTPException(status_code=400, detail="This username is unavailable.") from e diff --git a/src/backend/base/langflow/api/v1/variable.py b/src/backend/base/langflow/api/v1/variable.py index 123086676..f992c1429 100644 --- a/src/backend/base/langflow/api/v1/variable.py +++ b/src/backend/base/langflow/api/v1/variable.py @@ -1,4 +1,4 @@ -from datetime import datetime +from datetime import datetime, timezone from uuid import UUID from fastapi import APIRouter, Depends, HTTPException @@ -37,7 +37,11 @@ def create_variable( variable_dict["user_id"] = current_user.id db_variable = Variable.model_validate(variable_dict) - if not db_variable.value: + if not db_variable.name and not db_variable.value: + raise HTTPException(status_code=400, detail="Variable name and value cannot be empty") + elif not db_variable.name: + raise HTTPException(status_code=400, detail="Variable name cannot be empty") + elif not db_variable.value: raise HTTPException(status_code=400, detail="Variable value cannot be empty") encrypted = auth_utils.encrypt_api_key(db_variable.value, settings_service=settings_service) db_variable.value = encrypted @@ -85,7 +89,7 @@ def update_variable( variable_data = variable.model_dump(exclude_unset=True) for key, value in variable_data.items(): setattr(db_variable, key, value) - db_variable.updated_at = datetime.utcnow() + db_variable.updated_at = datetime.now(timezone.utc) session.commit() session.refresh(db_variable) return db_variable diff --git a/src/backend/base/langflow/base/data/utils.py b/src/backend/base/langflow/base/data/utils.py index a152f44a8..aa79dfd6f 100644 --- a/src/backend/base/langflow/base/data/utils.py +++ b/src/backend/base/langflow/base/data/utils.py @@ -74,23 +74,25 @@ def retrieve_file_paths( return file_paths -def partition_file_to_record(file_path: str, silent_errors: bool) -> Optional[Record]: - # Use the partition function to load the file - from unstructured.partition.auto import partition # type: ignore +# ! Removing unstructured dependency until +# ! 3.12 is supported +# def partition_file_to_record(file_path: str, silent_errors: bool) -> Optional[Record]: +# # Use the partition function to load the file +# from unstructured.partition.auto import partition # type: ignore - try: - elements = partition(file_path) - except Exception as e: - if not silent_errors: - raise ValueError(f"Error loading file {file_path}: {e}") from e - return None +# try: +# elements = partition(file_path) +# except Exception as e: +# if not silent_errors: +# raise ValueError(f"Error loading file {file_path}: {e}") from e +# return None - # Create a Record - text = "\n\n".join([Text(el) for el in elements]) - metadata = elements.metadata if hasattr(elements, "metadata") else {} - metadata["file_path"] = file_path - record = Record(text=text, data=metadata) - return record +# # Create a Record +# text = "\n\n".join([Text(el) for el in elements]) +# metadata = elements.metadata if hasattr(elements, "metadata") else {} +# metadata["file_path"] = file_path +# record = Record(text=text, data=metadata) +# return record def read_text_file(file_path: str) -> str: @@ -138,18 +140,20 @@ def parse_text_file_to_record(file_path: str, silent_errors: bool) -> Optional[R return record -def get_elements( - file_paths: List[str], - silent_errors: bool, - max_concurrency: int, - use_multithreading: bool, -) -> List[Optional[Record]]: - if use_multithreading: - records = parallel_load_records(file_paths, silent_errors, max_concurrency) - else: - records = [partition_file_to_record(file_path, silent_errors) for file_path in file_paths] - records = list(filter(None, records)) - return records +# ! Removing unstructured dependency until +# ! 3.12 is supported +# def get_elements( +# file_paths: List[str], +# silent_errors: bool, +# max_concurrency: int, +# use_multithreading: bool, +# ) -> List[Optional[Record]]: +# if use_multithreading: +# records = parallel_load_records(file_paths, silent_errors, max_concurrency) +# else: +# records = [partition_file_to_record(file_path, silent_errors) for file_path in file_paths] +# records = list(filter(None, records)) +# return records def parallel_load_records( diff --git a/src/backend/base/langflow/base/io/chat.py b/src/backend/base/langflow/base/io/chat.py index 43b609502..7cdd45607 100644 --- a/src/backend/base/langflow/base/io/chat.py +++ b/src/backend/base/langflow/base/io/chat.py @@ -1,11 +1,10 @@ -import warnings from typing import Optional, Union from langflow.base.data.utils import IMG_FILE_TYPES, TEXT_FILE_TYPES from langflow.field_typing import Text from langflow.helpers.record import records_to_text from langflow.interface.custom.custom_component import CustomComponent -from langflow.memory import add_messages +from langflow.memory import store_message from langflow.schema import Record @@ -58,34 +57,16 @@ class ChatComponent(CustomComponent): sender: Optional[str] = None, sender_name: Optional[str] = None, ) -> list[Record]: - if not message: - warnings.warn("No message provided.") - return [] + records = store_message( + message, + session_id=session_id, + sender=sender, + sender_name=sender_name, + flow_id=self.graph.flow_id, + ) - if not session_id or not sender or not sender_name: - raise ValueError("All of session_id, sender, and sender_name must be provided.") - if isinstance(message, Record): - record = message - record.data.update( - { - "session_id": session_id, - "sender": sender, - "sender_name": sender_name, - } - ) - else: - record = Record( - data={ - "text": message, - "session_id": session_id, - "sender": sender, - "sender_name": sender_name, - }, - ) - - self.status = record - records = add_messages([record]) - return records[0] + self.status = records + return records def build_with_record( self, diff --git a/src/backend/base/langflow/interface/output_parsers/__init__.py b/src/backend/base/langflow/base/memory/__init__.py similarity index 100% rename from src/backend/base/langflow/interface/output_parsers/__init__.py rename to src/backend/base/langflow/base/memory/__init__.py diff --git a/src/backend/base/langflow/base/memory/memory.py b/src/backend/base/langflow/base/memory/memory.py new file mode 100644 index 000000000..1bb2e22ff --- /dev/null +++ b/src/backend/base/langflow/base/memory/memory.py @@ -0,0 +1,49 @@ +from typing import Optional + +from langflow.interface.custom.custom_component import CustomComponent +from langflow.schema.schema import Record + + +class BaseMemoryComponent(CustomComponent): + display_name = "Chat Memory" + description = "Retrieves stored chat messages given a specific Session ID." + beta: bool = True + icon = "history" + + def build_config(self): + return { + "sender": { + "options": ["Machine", "User", "Machine and User"], + "display_name": "Sender Type", + }, + "sender_name": {"display_name": "Sender Name", "advanced": True}, + "n_messages": { + "display_name": "Number of Messages", + "info": "Number of messages to retrieve.", + }, + "session_id": { + "display_name": "Session ID", + "info": "Session ID of the chat history.", + "input_types": ["Text"], + }, + "order": { + "options": ["Ascending", "Descending"], + "display_name": "Order", + "info": "Order of the messages.", + "advanced": True, + }, + "record_template": { + "display_name": "Record Template", + "multiline": True, + "info": "Template to convert Record to Text. If left empty, it will be dynamically set to the Record's text key.", + "advanced": True, + }, + } + + def get_messages(self, **kwargs) -> list[Record]: + raise NotImplementedError + + def add_message( + self, sender: str, sender_name: str, text: str, session_id: str, metadata: Optional[dict] = None, **kwargs + ): + raise NotImplementedError diff --git a/src/backend/base/langflow/base/models/groq_constants.py b/src/backend/base/langflow/base/models/groq_constants.py new file mode 100644 index 000000000..c0e9bcfc9 --- /dev/null +++ b/src/backend/base/langflow/base/models/groq_constants.py @@ -0,0 +1 @@ +MODEL_NAMES = ["llama3-8b-8192", "llama3-70b-8192", "mixtral-8x7b-32768", "gemma-7b-it"] diff --git a/src/backend/base/langflow/base/models/model.py b/src/backend/base/langflow/base/models/model.py index 977090818..b38d275f9 100644 --- a/src/backend/base/langflow/base/models/model.py +++ b/src/backend/base/langflow/base/models/model.py @@ -57,7 +57,7 @@ class LCModelComponent(CustomComponent): prompt_tokens = token_usage["prompt_tokens"] total_tokens = token_usage["total_tokens"] finish_reason = response_metadata["finish_reason"] - status_message = f"Tokens:\n- Input: {prompt_tokens}\nOutput: {completion_tokens}\nTotal Tokens: {total_tokens}\nStop Reason: {finish_reason}\nResponse: {content}" + status_message = f"Tokens:\nInput: {prompt_tokens}\nOutput: {completion_tokens}\nTotal Tokens: {total_tokens}\nStop Reason: {finish_reason}\nResponse: {content}" elif all(key in response_metadata for key in anthropic_keys) and all( key in response_metadata["usage"] for key in inner_anthropic_keys ): @@ -65,7 +65,7 @@ class LCModelComponent(CustomComponent): input_tokens = usage["input_tokens"] output_tokens = usage["output_tokens"] stop_reason = response_metadata["stop_reason"] - status_message = f"Tokens:\n- Input: {input_tokens}\n- Output: {output_tokens}\nStop Reason: {stop_reason}\nResponse: {content}" + status_message = f"Tokens:\nInput: {input_tokens}\nOutput: {output_tokens}\nStop Reason: {stop_reason}\nResponse: {content}" else: status_message = f"Response: {content}" else: diff --git a/src/backend/base/langflow/base/models/openai_constants.py b/src/backend/base/langflow/base/models/openai_constants.py new file mode 100644 index 000000000..e846229cc --- /dev/null +++ b/src/backend/base/langflow/base/models/openai_constants.py @@ -0,0 +1 @@ +MODEL_NAMES = ["gpt-4o", "gpt-4-turbo", "gpt-4-turbo-preview", "gpt-3.5-turbo", "gpt-3.5-turbo-0125"] diff --git a/src/backend/base/langflow/base/prompts/utils.py b/src/backend/base/langflow/base/prompts/utils.py index fbf46dd71..2270035af 100644 --- a/src/backend/base/langflow/base/prompts/utils.py +++ b/src/backend/base/langflow/base/prompts/utils.py @@ -1,3 +1,6 @@ +from copy import deepcopy + + from langchain_core.documents import Document from langflow.schema import Record @@ -27,19 +30,20 @@ def dict_values_to_string(d: dict) -> dict: dict: The dictionary with values converted to strings. """ # Do something similar to the above - for key, value in d.items(): + d_copy = deepcopy(d) + for key, value in d_copy.items(): # it could be a list of records or documents or strings if isinstance(value, list): for i, item in enumerate(value): if isinstance(item, Record): - d[key][i] = record_to_string(item) + d_copy[key][i] = record_to_string(item) elif isinstance(item, Document): - d[key][i] = document_to_string(item) + d_copy[key][i] = document_to_string(item) elif isinstance(value, Record): - d[key] = record_to_string(value) + d_copy[key] = record_to_string(value) elif isinstance(value, Document): - d[key] = document_to_string(value) - return d + d_copy[key] = document_to_string(value) + return d_copy def document_to_string(document: Document) -> str: diff --git a/src/backend/base/langflow/components/agents/OpenAIConversationalAgent.py b/src/backend/base/langflow/components/agents/OpenAIConversationalAgent.py index 0edf8ea55..bda2579f6 100644 --- a/src/backend/base/langflow/components/agents/OpenAIConversationalAgent.py +++ b/src/backend/base/langflow/components/agents/OpenAIConversationalAgent.py @@ -8,10 +8,11 @@ from langchain.prompts import SystemMessagePromptTemplate from langchain.prompts.chat import MessagesPlaceholder from langchain.schema.memory import BaseMemory from langchain.tools import Tool -from langchain_community.chat_models import ChatOpenAI +from langchain_openai import ChatOpenAI from langflow.field_typing.range_spec import RangeSpec from langflow.interface.custom.custom_component import CustomComponent +from pydantic.v1 import SecretStr class ConversationalAgent(CustomComponent): @@ -57,9 +58,14 @@ class ConversationalAgent(CustomComponent): max_token_limit: int = 2000, temperature: float = 0.9, ) -> AgentExecutor: + if openai_api_key: + api_key = SecretStr(openai_api_key) + else: + api_key = None + llm = ChatOpenAI( model=model_name, - api_key=openai_api_key, + api_key=api_key, base_url=openai_api_base, max_tokens=max_token_limit, temperature=temperature, diff --git a/src/backend/base/langflow/components/agents/SQLAgent.py b/src/backend/base/langflow/components/agents/SQLAgent.py index 68f65d18f..abde4ab94 100644 --- a/src/backend/base/langflow/components/agents/SQLAgent.py +++ b/src/backend/base/langflow/components/agents/SQLAgent.py @@ -1,7 +1,7 @@ from typing import Callable, Union from langchain.agents import AgentExecutor -from langchain.sql_database import SQLDatabase +from langchain_community.utilities import SQLDatabase from langchain_community.agent_toolkits import SQLDatabaseToolkit from langchain_community.agent_toolkits.sql.base import create_sql_agent diff --git a/src/backend/base/langflow/components/data/APIRequest.py b/src/backend/base/langflow/components/data/APIRequest.py index 83a1edb9d..9f1ca703c 100644 --- a/src/backend/base/langflow/components/data/APIRequest.py +++ b/src/backend/base/langflow/components/data/APIRequest.py @@ -93,14 +93,14 @@ class APIRequest(CustomComponent): self, method: str, urls: List[str], - _headers: Optional[Record] = None, + headers: Optional[Record] = None, body: Optional[Record] = None, timeout: int = 5, ) -> List[Record]: - if _headers is None: - headers = {} + if headers is None: + headers_dict = {} else: - headers = _headers.data + headers_dict = headers.data bodies = [] if body: @@ -114,7 +114,7 @@ class APIRequest(CustomComponent): bodies += [None] * (len(urls) - len(bodies)) # type: ignore async with httpx.AsyncClient() as client: results = await asyncio.gather( - *[self.make_request(client, method, u, headers, rec, timeout) for u, rec in zip(urls, bodies)] + *[self.make_request(client, method, u, headers_dict, rec, timeout) for u, rec in zip(urls, bodies)] ) self.status = results return results diff --git a/src/backend/base/langflow/components/embeddings/MistalAIEmbeddings.py b/src/backend/base/langflow/components/embeddings/MistalAIEmbeddings.py new file mode 100644 index 000000000..23d80132f --- /dev/null +++ b/src/backend/base/langflow/components/embeddings/MistalAIEmbeddings.py @@ -0,0 +1,64 @@ +from pydantic.v1 import SecretStr + +from langchain_mistralai.embeddings import MistralAIEmbeddings +from langflow.interface.custom.custom_component import CustomComponent +from langflow.field_typing import Embeddings + + +class MistralAIEmbeddingsComponent(CustomComponent): + display_name = "MistralAI Embeddings" + description = "Generate embeddings using MistralAI models." + + def build_config(self): + return { + "model": { + "display_name": "Model", + "advanced": False, + "options": ["mistral-embed"], + "value": "mistral-embed", + }, + "mistral_api_key": { + "display_name": "Mistral API Key", + "password": True, + "advanced": False, + }, + "max_concurrent_requests": { + "display_name": "Max Concurrent Requests", + "advanced": True, + "value": 64, + }, + "max_retries": { + "display_name": "Max Retries", + "advanced": True, + "value": 5, + }, + "timeout": { + "display_name": "Request Timeout", + "advanced": True, + "value": 120, + }, + "endpoint": {"display_name": "API Endpoint", "advanced": True, "value": "https://api.mistral.ai/v1/"}, + } + + def build( + self, + mistral_api_key: str, + model: str = "mistral-embed", + max_concurrent_requests: int = 64, + max_retries: int = 5, + timeout: int = 120, + endpoint: str = "https://api.mistral.ai/v1/", + ) -> Embeddings: + if mistral_api_key: + api_key = SecretStr(mistral_api_key) + else: + api_key = None + + return MistralAIEmbeddings( + api_key=api_key, + model=model, + endpoint=endpoint, + max_concurrent_requests=max_concurrent_requests, + max_retries=max_retries, + timeout=timeout, + ) diff --git a/src/backend/base/langflow/components/embeddings/VertexAIEmbeddings.py b/src/backend/base/langflow/components/embeddings/VertexAIEmbeddings.py index a88b403c3..4bfaa0003 100644 --- a/src/backend/base/langflow/components/embeddings/VertexAIEmbeddings.py +++ b/src/backend/base/langflow/components/embeddings/VertexAIEmbeddings.py @@ -1,6 +1,6 @@ from typing import List, Optional -from langchain_community.embeddings import VertexAIEmbeddings +from langchain_google_vertexai import VertexAIEmbeddings from langflow.interface.custom.custom_component import CustomComponent diff --git a/src/backend/base/langflow/components/experimental/Pass.py b/src/backend/base/langflow/components/experimental/Pass.py new file mode 100644 index 000000000..9528f0591 --- /dev/null +++ b/src/backend/base/langflow/components/experimental/Pass.py @@ -0,0 +1,29 @@ +from typing import Union +from langflow.interface.custom.custom_component import CustomComponent +from langflow.schema import Record +from langflow.field_typing import Text + + +class PassComponent(CustomComponent): + display_name = "Pass" + description = "A pass-through component that forwards the second input while ignoring the first, used for controlling workflow direction." + field_order = ["ignored_input", "forwarded_input"] + + def build_config(self) -> dict: + return { + "ignored_input": { + "display_name": "Ignored Input", + "info": "This input is ignored. It's used to control the flow in the graph.", + "input_types": ["Text", "Record"], + }, + "forwarded_input": { + "display_name": "Input", + "info": "This input is forwarded by the component.", + "input_types": ["Text", "Record"], + }, + } + + def build(self, ignored_input: Text, forwarded_input: Text) -> Union[Text, Record]: + # The ignored_input is not used in the logic, it's just there for graph flow control + self.status = forwarded_input + return forwarded_input diff --git a/src/backend/base/langflow/components/experimental/SQLExecutor.py b/src/backend/base/langflow/components/experimental/SQLExecutor.py index 2289514a6..a62ac187b 100644 --- a/src/backend/base/langflow/components/experimental/SQLExecutor.py +++ b/src/backend/base/langflow/components/experimental/SQLExecutor.py @@ -1,5 +1,5 @@ from langchain_community.tools.sql_database.tool import QuerySQLDataBaseTool -from langchain_experimental.sql.base import SQLDatabase +from langchain_community.utilities import SQLDatabase from langflow.field_typing import Text from langflow.interface.custom.custom_component import CustomComponent diff --git a/src/backend/base/langflow/components/experimental/SplitText.py b/src/backend/base/langflow/components/experimental/SplitText.py new file mode 100644 index 000000000..bd2bc921f --- /dev/null +++ b/src/backend/base/langflow/components/experimental/SplitText.py @@ -0,0 +1,49 @@ +from typing import Optional + +from langflow.field_typing import Text +from langflow.interface.custom.custom_component import CustomComponent +from langflow.schema import Record +from langflow.utils.util import unescape_string + + +class SplitTextComponent(CustomComponent): + display_name: str = "Split Text" + description: str = "Split text into chunks of a specified length." + + def build_config(self): + return { + "inputs": { + "display_name": "Inputs", + "info": "Texts to split.", + "input_types": ["Record", "Text"], + }, + "separator": { + "display_name": "Separator", + "info": 'The character to split on. Defaults to " ".', + }, + "truncate_size": { + "display_name": "Truncate Size", + "info": "The maximum length (in number of characters) of each chunk to keep. Defaults to 0 (no truncation).", + }, + } + + def build( + self, + inputs: list[Text], + separator: str = " ", + truncate_size: Optional[int] = 0, + ) -> list[Record]: + separator = unescape_string(separator) + + outputs = [] + for text in inputs: + chunks = text.split(separator) + + if truncate_size: + chunks = [chunk[:truncate_size] for chunk in chunks] + + for chunk in chunks: + outputs.append(Record(text=chunk, data={"parent": text})) + + self.status = outputs + return outputs diff --git a/src/backend/base/langflow/components/experimental/StoreMessage.py b/src/backend/base/langflow/components/experimental/StoreMessage.py new file mode 100644 index 000000000..9f3aa60e2 --- /dev/null +++ b/src/backend/base/langflow/components/experimental/StoreMessage.py @@ -0,0 +1,43 @@ +from typing import List, Optional + +from langflow.interface.custom.custom_component import CustomComponent +from langflow.memory import get_messages, store_message +from langflow.schema import Record + + +class StoreMessageComponent(CustomComponent): + display_name = "Store Message" + description = "Stores a chat message given a Session ID." + beta: bool = True + + def build_config(self): + return { + "sender": { + "options": ["Machine", "User"], + "display_name": "Sender Type", + }, + "sender_name": {"display_name": "Sender Name"}, + "message": {"display_name": "Message"}, + "session_id": { + "display_name": "Session ID", + "info": "Session ID of the chat history.", + "input_types": ["Text"], + }, + } + + def build( + self, + sender: str = "User", + sender_name: Optional[str] = None, + session_id: Optional[str] = None, + message: str = "", + ) -> List[Record]: + store_message( + sender=sender, + sender_name=sender_name, + session_id=session_id, + message=message, + ) + + self.status = get_messages(session_id=session_id) + return get_messages(session_id=session_id) diff --git a/src/backend/base/langflow/components/experimental/SubFlow.py b/src/backend/base/langflow/components/experimental/SubFlow.py index 72e07c8e8..80e15c6ad 100644 --- a/src/backend/base/langflow/components/experimental/SubFlow.py +++ b/src/backend/base/langflow/components/experimental/SubFlow.py @@ -35,7 +35,7 @@ class SubFlowComponent(CustomComponent): build_config["flow_name"]["options"] = self.get_flow_names() # Clean up the build config for key in list(build_config.keys()): - if key not in self.field_order + ["code", "_type"]: + if key not in self.field_order + ["code", "_type", "get_final_results_only"]: del build_config[key] if field_value is not None and field_name == "flow_name": try: @@ -85,20 +85,29 @@ class SubFlowComponent(CustomComponent): "display_name": "Tweaks", "info": "Tweaks to apply to the flow.", }, + "get_final_results_only": { + "display_name": "Get Final Results Only", + "info": "If False, the output will contain all outputs from the flow.", + "advanced": True, + }, } - def build_records_from_result_data(self, result_data: ResultData) -> List[Record]: + def build_records_from_result_data(self, result_data: ResultData, get_final_results_only: bool) -> List[Record]: messages = result_data.messages if not messages: return [] records = [] for message in messages: message_dict = message if isinstance(message, dict) else message.model_dump() - record = Record(data={"result": result_data.model_dump(), "message": message_dict.get("message", "")}) + if get_final_results_only: + result_data_dict = result_data.model_dump() + results = result_data_dict.get("results", {}) + inner_result = results.get("result", {}) + record = Record(data={"result": inner_result, "message": message_dict}, text_key="result") records.append(record) return records - async def build(self, flow_name: str, **kwargs) -> List[Record]: + async def build(self, flow_name: str, get_final_results_only: bool = True, **kwargs) -> List[Record]: tweaks = {key: {"input_value": value} for key, value in kwargs.items()} run_outputs: List[Optional[RunOutputs]] = await self.run_flow( tweaks=tweaks, @@ -112,7 +121,7 @@ class SubFlowComponent(CustomComponent): if run_output is not None: for output in run_output.outputs: if output: - records.extend(self.build_records_from_result_data(output)) + records.extend(self.build_records_from_result_data(output, get_final_results_only)) self.status = records logger.debug(records) diff --git a/src/backend/base/langflow/components/experimental/TextOperator.py b/src/backend/base/langflow/components/experimental/TextOperator.py new file mode 100644 index 000000000..89fba13b6 --- /dev/null +++ b/src/backend/base/langflow/components/experimental/TextOperator.py @@ -0,0 +1,76 @@ +from typing import Optional, Union + +from langflow.interface.custom.custom_component import CustomComponent +from langflow.schema import Record +from langflow.field_typing import Text + + +class TextOperatorComponent(CustomComponent): + display_name = "Text Operator" + description = "Compares two text inputs based on a specified condition such as equality or inequality, with optional case sensitivity." + + def build_config(self) -> dict: + return { + "input_text": { + "display_name": "Input Text", + "info": "The primary text input for the operation.", + }, + "match_text": { + "display_name": "Match Text", + "info": "The text input to compare against.", + }, + "operator": { + "display_name": "Operator", + "info": "The operator to apply for comparing the texts.", + "options": ["equals", "not equals", "contains", "starts with", "ends with", "exists"], + }, + "case_sensitive": { + "display_name": "Case Sensitive", + "info": "If true, the comparison will be case sensitive.", + "field_type": "bool", + "default": False, + }, + "true_output": { + "display_name": "Output", + "info": "The output to return or display when the comparison is true.", + "input_types": ["Text", "Record"], # Allow both text and record types + }, + } + + def build( + self, + input_text: Text, + match_text: Text, + operator: Text, + case_sensitive: bool = False, + true_output: Optional[Text] = "", + ) -> Union[Text, Record]: + if not input_text or not match_text: + raise ValueError("Both 'input_text' and 'match_text' must be provided and non-empty.") + + if not case_sensitive: + input_text = input_text.lower() + match_text = match_text.lower() + + result = False + if operator == "equals": + result = input_text == match_text + elif operator == "not equals": + result = input_text != match_text + elif operator == "contains": + result = match_text in input_text + elif operator == "starts with": + result = input_text.startswith(match_text) + elif operator == "ends with": + result = input_text.endswith(match_text) + + output_record = true_output if true_output else input_text + + if result: + self.status = output_record + return output_record + else: + self.status = "Comparison failed, stopping execution." + self.stop() + + return output_record diff --git a/src/backend/base/langflow/components/helpers/CombineTextsUnsorted.py b/src/backend/base/langflow/components/helpers/CombineTextsUnsorted.py new file mode 100644 index 000000000..20cd4db29 --- /dev/null +++ b/src/backend/base/langflow/components/helpers/CombineTextsUnsorted.py @@ -0,0 +1,25 @@ +from langflow.interface.custom.custom_component import CustomComponent +from langflow.field_typing import Text + + +class CombineTextsUnsortedComponent(CustomComponent): + display_name = "Combine Texts (Unsorted)" + description = "Concatenate text sources into a single text chunk using a specified delimiter." + icon = "merge" + + def build_config(self): + return { + "texts": { + "display_name": "Texts", + "info": "The first text input to concatenate.", + }, + "delimiter": { + "display_name": "Delimiter", + "info": "A string used to separate the two text inputs. Defaults to a whitespace.", + }, + } + + def build(self, texts: list[str], delimiter: str = " ") -> Text: + combined = delimiter.join(texts) + self.status = combined + return combined diff --git a/src/backend/base/langflow/components/helpers/IDGenerator.py b/src/backend/base/langflow/components/helpers/IDGenerator.py index 5778c4c22..d10574eef 100644 --- a/src/backend/base/langflow/components/helpers/IDGenerator.py +++ b/src/backend/base/langflow/components/helpers/IDGenerator.py @@ -23,7 +23,7 @@ class UUIDGeneratorComponent(CustomComponent): return { "unique_id": { "display_name": "Value", - "real_time_refresh": True, + "refresh_button": True, } } diff --git a/src/backend/base/langflow/components/helpers/MemoryComponent.py b/src/backend/base/langflow/components/helpers/MemoryComponent.py index 9590fe8a3..6d19bfd59 100644 --- a/src/backend/base/langflow/components/helpers/MemoryComponent.py +++ b/src/backend/base/langflow/components/helpers/MemoryComponent.py @@ -1,12 +1,13 @@ from typing import Optional +from langflow.base.memory.memory import BaseMemoryComponent from langflow.field_typing import Text from langflow.helpers.record import records_to_text -from langflow.interface.custom.custom_component import CustomComponent from langflow.memory import get_messages +from langflow.schema.schema import Record -class MemoryComponent(CustomComponent): +class MemoryComponent(BaseMemoryComponent): display_name = "Chat Memory" description = "Retrieves stored chat messages given a specific Session ID." beta: bool = True @@ -42,6 +43,24 @@ class MemoryComponent(CustomComponent): }, } + def get_messages(self, **kwargs) -> list[Record]: + # Validate kwargs by checking if it contains the correct keys + if "sender" not in kwargs: + kwargs["sender"] = None + if "sender_name" not in kwargs: + kwargs["sender_name"] = None + if "session_id" not in kwargs: + kwargs["session_id"] = None + if "limit" not in kwargs: + kwargs["limit"] = 5 + if "order" not in kwargs: + kwargs["order"] = "Descending" + + kwargs["order"] = "DESC" if kwargs["order"] == "Descending" else "ASC" + if kwargs["sender"] == "Machine and User": + kwargs["sender"] = None + return get_messages(**kwargs) + def build( self, sender: Optional[str] = "Machine and User", @@ -51,10 +70,7 @@ class MemoryComponent(CustomComponent): order: Optional[str] = "Descending", record_template: Optional[str] = "{sender_name}: {text}", ) -> Text: - order = "DESC" if order == "Descending" else "ASC" - if sender == "Machine and User": - sender = None - messages = get_messages( + messages = self.get_messages( sender=sender, sender_name=sender_name, session_id=session_id, diff --git a/src/backend/base/langflow/components/helpers/ShouldRunNext.py b/src/backend/base/langflow/components/helpers/ShouldRunNext.py new file mode 100644 index 000000000..0d20706ea --- /dev/null +++ b/src/backend/base/langflow/components/helpers/ShouldRunNext.py @@ -0,0 +1,30 @@ +from langchain_core.messages import BaseMessage +from langchain_core.prompts import PromptTemplate + +from langflow.custom import CustomComponent +from langflow.field_typing import BaseLanguageModel, Text + + +class ShouldRunNextComponent(CustomComponent): + display_name = "Should Run Next" + description = "Determines if a vertex is runnable." + + def build(self, llm: BaseLanguageModel, question: str, context: str, retries: int = 3) -> Text: + template = "Given the following question and the context below, answer with a yes or no.\n\n{error_message}\n\nQuestion: {question}\n\nContext: {context}\n\nAnswer:" + + prompt = PromptTemplate.from_template(template) + chain = prompt | llm + error_message = "" + for i in range(retries): + result = chain.invoke(dict(question=question, context=context, error_message=error_message)) + if isinstance(result, BaseMessage): + content = result.content + elif isinstance(result, str): + content = result + if isinstance(content, str) and content.lower().strip() in ["yes", "no"]: + break + condition = str(content).lower().strip() == "yes" + self.status = f"Should Run Next: {condition}" + if condition is False: + self.stop() + return context diff --git a/src/backend/base/langflow/components/helpers/SplitText.py b/src/backend/base/langflow/components/helpers/SplitText.py deleted file mode 100644 index 565ee1ffc..000000000 --- a/src/backend/base/langflow/components/helpers/SplitText.py +++ /dev/null @@ -1,87 +0,0 @@ -from typing import Optional, Union - -from langchain.text_splitter import CharacterTextSplitter, RecursiveCharacterTextSplitter -from langchain_core.documents import Document - -from langflow.field_typing import Text -from langflow.interface.custom.custom_component import CustomComponent -from langflow.schema import Record -from langflow.utils.util import unescape_string - - -class SplitTextComponent(CustomComponent): - display_name: str = "Split Text" - description: str = "Split text into chunks of a specified length." - - def build_config(self): - return { - "inputs": { - "display_name": "Inputs", - "info": "Texts to split.", - "input_types": ["Record", "Text"], - }, - "separators": { - "display_name": "Separators", - "info": 'The characters to split on. Defaults to [" "].', - "is_list": True, - }, - "chunk_size": { - "display_name": "Max Chunk Size", - "info": "The maximum length (in number of characters) of each chunk.", - "field_type": "int", - "value": 1000, - }, - "chunk_overlap": { - "display_name": "Chunk Overlap", - "info": "The amount of character overlap between chunks.", - "field_type": "int", - "value": 200, - }, - "recursive": { - "display_name": "Recursive", - }, - "code": {"show": False}, - } - - def build( - self, - inputs: list[Text], - separators: Optional[list[str]] = [" "], - chunk_size: Optional[int] = 1000, - chunk_overlap: Optional[int] = 200, - recursive: bool = False, - ) -> list[Record]: - if separators is None: - separators = [] - separators = [unescape_string(x) for x in separators] - - # Make sure chunk_size and chunk_overlap are ints - if isinstance(chunk_size, str): - chunk_size = int(chunk_size) - if isinstance(chunk_overlap, str): - chunk_overlap = int(chunk_overlap) - splitter: Optional[Union[CharacterTextSplitter, RecursiveCharacterTextSplitter]] = None - if recursive: - splitter = RecursiveCharacterTextSplitter( - separators=separators, - chunk_size=chunk_size, - chunk_overlap=chunk_overlap, - ) - - else: - splitter = CharacterTextSplitter( - separator=separators[0], - chunk_size=chunk_size, - chunk_overlap=chunk_overlap, - ) - - documents = [] - for _input in inputs: - if isinstance(_input, Record): - documents.append(_input.to_lc_document()) - else: - documents.append(Document(page_content=_input)) - - records = self.to_records(splitter.split_documents(documents)) - self.status = records - return records diff --git a/src/backend/base/langflow/components/inputs/ChatInput.py b/src/backend/base/langflow/components/inputs/ChatInput.py index 7f9b6bb00..75af91cbd 100644 --- a/src/backend/base/langflow/components/inputs/ChatInput.py +++ b/src/backend/base/langflow/components/inputs/ChatInput.py @@ -7,7 +7,7 @@ from langflow.schema import Record class ChatInput(ChatComponent): display_name = "Chat Input" - description = "Get chat inputs from the Interaction Panel." + description = "Get chat inputs from the Playground." icon = "ChatInput" def build_config(self): diff --git a/src/backend/base/langflow/components/inputs/TextInput.py b/src/backend/base/langflow/components/inputs/TextInput.py index c9cdee0b0..b2317678e 100644 --- a/src/backend/base/langflow/components/inputs/TextInput.py +++ b/src/backend/base/langflow/components/inputs/TextInput.py @@ -6,7 +6,7 @@ from langflow.field_typing import Text class TextInput(TextComponent): display_name = "Text Input" - description = "Get text inputs from the Interaction Panel." + description = "Get text inputs from the Playground." icon = "type" def build_config(self): diff --git a/src/backend/base/langflow/components/memories/AstraDBMessageReader.py b/src/backend/base/langflow/components/memories/AstraDBMessageReader.py new file mode 100644 index 000000000..9b82dd308 --- /dev/null +++ b/src/backend/base/langflow/components/memories/AstraDBMessageReader.py @@ -0,0 +1,95 @@ +from typing import Optional, cast + +from langchain_astradb.chat_message_histories import AstraDBChatMessageHistory + +from langflow.base.memory.memory import BaseMemoryComponent +from langflow.field_typing import Text +from langflow.schema.schema import Record + + +class AstraDBMessageReaderComponent(BaseMemoryComponent): + display_name = "Astra DB Message Reader" + description = "Retrieves stored chat messages from Astra DB." + + def build_config(self): + return { + "session_id": { + "display_name": "Session ID", + "info": "Session ID of the chat history.", + "input_types": ["Text"], + }, + "collection_name": { + "display_name": "Collection Name", + "info": "Collection name for Astra DB.", + "input_types": ["Text"], + }, + "token": { + "display_name": "Astra DB Application Token", + "info": "Token for the Astra DB instance.", + "password": True, + }, + "api_endpoint": { + "display_name": "Astra DB API Endpoint", + "info": "API Endpoint for the Astra DB instance.", + "password": True, + }, + "namespace": { + "display_name": "Namespace", + "info": "Namespace for the Astra DB instance.", + "input_types": ["Text"], + "advanced": True, + }, + } + + def get_messages(self, **kwargs) -> list[Record]: + """ + Retrieves messages from the AstraDBChatMessageHistory memory. + + Args: + memory (AstraDBChatMessageHistory): The AstraDBChatMessageHistory instance to retrieve messages from. + + Returns: + list[Record]: A list of Record objects representing the search results. + """ + memory: AstraDBChatMessageHistory = cast( + AstraDBChatMessageHistory, kwargs.get("memory") + ) + if not memory: + raise ValueError("AstraDBChatMessageHistory instance is required.") + + # Get messages from the memory + messages = memory.messages + results = [Record.from_lc_message(message) for message in messages] + + return list(results) + + def build( + self, + session_id: Text, + collection_name: str, + token: str, + api_endpoint: str, + namespace: Optional[str] = None, + ) -> list[Record]: + try: + from langchain_community.chat_message_histories.astradb import ( + AstraDBChatMessageHistory, + ) + except ImportError: + raise ImportError( + "Could not import langchain Astra DB integration package. " + "Please install it with `pip install langchain-astradb`." + ) + + memory = AstraDBChatMessageHistory( + session_id=session_id, + collection_name=collection_name, + token=token, + api_endpoint=api_endpoint, + namespace=namespace, + ) + + records = self.get_messages(memory=memory) + self.status = records + + return records diff --git a/src/backend/base/langflow/components/memories/AstraDBMessageWriter.py b/src/backend/base/langflow/components/memories/AstraDBMessageWriter.py new file mode 100644 index 000000000..33525656e --- /dev/null +++ b/src/backend/base/langflow/components/memories/AstraDBMessageWriter.py @@ -0,0 +1,117 @@ +from typing import Optional + +from langflow.base.memory.memory import BaseMemoryComponent +from langflow.field_typing import Text +from langflow.schema.schema import Record + +from langchain_core.messages import BaseMessage +from langchain_community.chat_message_histories.astradb import AstraDBChatMessageHistory + + +class AstraDBMessageWriterComponent(BaseMemoryComponent): + display_name = "Astra DB Message Writer" + description = "Writes a message to Astra DB." + + def build_config(self): + return { + "input_value": { + "display_name": "Input Record", + "info": "Record to write to Astra DB.", + }, + "session_id": { + "display_name": "Session ID", + "info": "Session ID of the chat history.", + "input_types": ["Text"], + }, + "collection_name": { + "display_name": "Collection Name", + "info": "Collection name for Astra DB.", + "input_types": ["Text"], + }, + "token": { + "display_name": "Astra DB Application Token", + "info": "Token for the Astra DB instance.", + "password": True, + }, + "api_endpoint": { + "display_name": "Astra DB API Endpoint", + "info": "API Endpoint for the Astra DB instance.", + "password": True, + }, + "namespace": { + "display_name": "Namespace", + "info": "Namespace for the Astra DB instance.", + "input_types": ["Text"], + "advanced": True, + }, + } + + def add_message( + self, + sender: str, + sender_name: str, + text: Text, + session_id: str, + metadata: Optional[dict] = None, + **kwargs, + ): + """ + Adds a message to the AstraDBChatMessageHistory memory. + + Args: + sender (Text): The type of the message sender. Valid values are "Machine" or "User". + sender_name (Text): The name of the message sender. + text (Text): The content of the message. + session_id (Text): The session ID associated with the message. + metadata (dict | None, optional): Additional metadata for the message. Defaults to None. + **kwargs: Additional keyword arguments. + + Raises: + ValueError: If the AstraDBChatMessageHistory instance is not provided. + + """ + memory: AstraDBChatMessageHistory | None = kwargs.pop("memory", None) + if memory is None: + raise ValueError("AstraDBChatMessageHistory instance is required.") + + text_list = [BaseMessage( + content=text, + sender=sender, + sender_name=sender_name, + metadata=metadata, + session_id=session_id, + )] + + memory.add_messages(text_list) + + def build( + self, + input_value: Record, + session_id: Text, + collection_name: str, + token: str, + api_endpoint: str, + namespace: Optional[str] = None, + ) -> Record: + try: + from langchain_community.chat_message_histories.astradb import ( + AstraDBChatMessageHistory, + ) + except ImportError: + raise ImportError( + "Could not import langchain Astra DB integration package. " + "Please install it with `pip install langchain-astradb`." + ) + + memory = AstraDBChatMessageHistory( + session_id=session_id, + collection_name=collection_name, + token=token, + api_endpoint=api_endpoint, + namespace=namespace, + ) + + self.add_message(**input_value.data, memory=memory) + self.status = f"Added message to Astra DB memory for session {session_id}" + + return input_value diff --git a/src/backend/base/langflow/components/memories/ZepMessageReader.py b/src/backend/base/langflow/components/memories/ZepMessageReader.py new file mode 100644 index 000000000..bac6e9f1a --- /dev/null +++ b/src/backend/base/langflow/components/memories/ZepMessageReader.py @@ -0,0 +1,151 @@ +from typing import Optional, cast + +from langchain_community.chat_message_histories.zep import SearchScope, SearchType, ZepChatMessageHistory + +from langflow.base.memory.memory import BaseMemoryComponent +from langflow.field_typing import Text +from langflow.schema.schema import Record + + +class ZepMessageReaderComponent(BaseMemoryComponent): + display_name = "Zep Message Reader" + description = "Retrieves stored chat messages from Zep." + + def build_config(self): + return { + "session_id": { + "display_name": "Session ID", + "info": "Session ID of the chat history.", + "input_types": ["Text"], + }, + "url": { + "display_name": "Zep URL", + "info": "URL of the Zep instance.", + "input_types": ["Text"], + }, + "api_key": { + "display_name": "Zep API Key", + "info": "API Key for the Zep instance.", + "password": True, + }, + "query": { + "display_name": "Query", + "info": "Query to search for in the chat history.", + }, + "metadata": { + "display_name": "Metadata", + "info": "Optional metadata to attach to the message.", + "advanced": True, + }, + "search_scope": { + "options": ["Messages", "Summary"], + "display_name": "Search Scope", + "info": "Scope of the search.", + "advanced": True, + }, + "search_type": { + "options": ["Similarity", "MMR"], + "display_name": "Search Type", + "info": "Type of search.", + "advanced": True, + }, + "limit": { + "display_name": "Limit", + "info": "Limit of search results.", + "advanced": True, + }, + "api_base_path": { + "display_name": "API Base Path", + "options": ["api/v1", "api/v2"], + }, + } + + def get_messages(self, **kwargs) -> list[Record]: + """ + Retrieves messages from the ZepChatMessageHistory memory. + + If a query is provided, the search method is used to search for messages in the memory, otherwise all messages are returned. + + Args: + memory (ZepChatMessageHistory): The ZepChatMessageHistory instance to retrieve messages from. + query (str, optional): The query string to search for messages. Defaults to None. + metadata (dict, optional): Additional metadata to filter the search results. Defaults to None. + search_scope (str, optional): The scope of the search. Can be 'messages' or 'summary'. Defaults to 'messages'. + search_type (str, optional): The type of search. Can be 'similarity' or 'exact'. Defaults to 'similarity'. + limit (int, optional): The maximum number of search results to return. Defaults to None. + + Returns: + list[Record]: A list of Record objects representing the search results. + """ + memory: ZepChatMessageHistory = cast(ZepChatMessageHistory, kwargs.get("memory")) + if not memory: + raise ValueError("ZepChatMessageHistory instance is required.") + query = kwargs.get("query") + search_scope = kwargs.get("search_scope", SearchScope.messages).lower() + search_type = kwargs.get("search_type", SearchType.similarity).lower() + limit = kwargs.get("limit") + + if query: + memory_search_results = memory.search( + query, + search_scope=search_scope, + search_type=search_type, + limit=limit, + ) + # Get the messages from the search results if the search scope is messages + result_dicts = [] + for result in memory_search_results: + result_dict = {} + if search_scope == SearchScope.messages: + result_dict["text"] = result.message + else: + result_dict["text"] = result.summary + result_dict["metadata"] = result.metadata + result_dict["score"] = result.score + result_dicts.append(result_dict) + results = [Record(data=result_dict) for result_dict in result_dicts] + else: + messages = memory.messages + results = [Record.from_lc_message(message) for message in messages] + return results + + def build( + self, + session_id: Text, + api_base_path: str = "api/v1", + url: Optional[Text] = None, + api_key: Optional[Text] = None, + query: Optional[Text] = None, + search_scope: SearchScope = SearchScope.messages, + search_type: SearchType = SearchType.similarity, + limit: Optional[int] = None, + ) -> list[Record]: + try: + from zep_python import ZepClient + from zep_python.langchain import ZepChatMessageHistory + + # Monkeypatch API_BASE_PATH to + # avoid 404 + # This is a workaround for the local Zep instance + # cloud Zep works with v2 + import zep_python.zep_client + + zep_python.zep_client.API_BASE_PATH = api_base_path + except ImportError: + raise ImportError( + "Could not import zep-python package. " "Please install it with `pip install zep-python`." + ) + if url == "": + url = None + + zep_client = ZepClient(api_url=url, api_key=api_key) + memory = ZepChatMessageHistory(session_id=session_id, zep_client=zep_client) + records = self.get_messages( + memory=memory, + query=query, + search_scope=search_scope, + search_type=search_type, + limit=limit, + ) + self.status = records + return records diff --git a/src/backend/base/langflow/components/memories/ZepMessageWriter.py b/src/backend/base/langflow/components/memories/ZepMessageWriter.py new file mode 100644 index 000000000..b062f66bf --- /dev/null +++ b/src/backend/base/langflow/components/memories/ZepMessageWriter.py @@ -0,0 +1,108 @@ +from typing import TYPE_CHECKING, Optional + +from langflow.base.memory.memory import BaseMemoryComponent +from langflow.field_typing import Text +from langflow.schema.schema import Record + +if TYPE_CHECKING: + from zep_python.langchain import ZepChatMessageHistory + + +class ZepMessageWriterComponent(BaseMemoryComponent): + display_name = "Zep Message Writer" + description = "Writes a message to Zep." + + def build_config(self): + return { + "session_id": { + "display_name": "Session ID", + "info": "Session ID of the chat history.", + "input_types": ["Text"], + }, + "url": { + "display_name": "Zep URL", + "info": "URL of the Zep instance.", + "input_types": ["Text"], + }, + "api_key": { + "display_name": "Zep API Key", + "info": "API Key for the Zep instance.", + "password": True, + }, + "limit": { + "display_name": "Limit", + "info": "Limit of search results.", + "advanced": True, + }, + "input_value": { + "display_name": "Input Record", + "info": "Record to write to Zep.", + }, + "api_base_path": { + "display_name": "API Base Path", + "options": ["api/v1", "api/v2"], + }, + } + + def add_message( + self, sender: Text, sender_name: Text, text: Text, session_id: Text, metadata: dict | None = None, **kwargs + ): + """ + Adds a message to the ZepChatMessageHistory memory. + + Args: + sender (Text): The type of the message sender. Valid values are "Machine" or "User". + sender_name (Text): The name of the message sender. + text (Text): The content of the message. + session_id (Text): The session ID associated with the message. + metadata (dict | None, optional): Additional metadata for the message. Defaults to None. + **kwargs: Additional keyword arguments. + + Raises: + ValueError: If the ZepChatMessageHistory instance is not provided. + + """ + memory: ZepChatMessageHistory | None = kwargs.pop("memory", None) + if memory is None: + raise ValueError("ZepChatMessageHistory instance is required.") + if metadata is None: + metadata = {} + metadata["sender_name"] = sender_name + metadata.update(kwargs) + if sender == "Machine": + memory.add_ai_message(text, metadata=metadata) + elif sender == "User": + memory.add_user_message(text, metadata=metadata) + else: + raise ValueError(f"Invalid sender type: {sender}") + + def build( + self, + input_value: Record, + session_id: Text, + api_base_path: str = "api/v1", + url: Optional[Text] = None, + api_key: Optional[Text] = None, + ) -> Record: + try: + # Monkeypatch API_BASE_PATH to + # avoid 404 + # This is a workaround for the local Zep instance + # cloud Zep works with v2 + import zep_python.zep_client + from zep_python import ZepClient + from zep_python.langchain import ZepChatMessageHistory + + zep_python.zep_client.API_BASE_PATH = api_base_path + except ImportError: + raise ImportError( + "Could not import zep-python package. " "Please install it with `pip install zep-python`." + ) + if url == "": + url = None + + zep_client = ZepClient(api_url=url, api_key=api_key) + memory = ZepChatMessageHistory(session_id=session_id, zep_client=zep_client) + self.add_message(**input_value.data, memory=memory) + self.status = f"Added message to Zep memory for session {session_id}" + return input_value diff --git a/src/backend/base/langflow/components/model_specs/BaiduQianfanLLMEndpointsSpecs.py b/src/backend/base/langflow/components/model_specs/BaiduQianfanLLMEndpointsSpecs.py index 21ed13e70..cc4ba3b9f 100644 --- a/src/backend/base/langflow/components/model_specs/BaiduQianfanLLMEndpointsSpecs.py +++ b/src/backend/base/langflow/components/model_specs/BaiduQianfanLLMEndpointsSpecs.py @@ -1,6 +1,6 @@ from typing import Optional -from langchain.llms.baidu_qianfan_endpoint import QianfanLLMEndpoint +from langchain_community.llms.baidu_qianfan_endpoint import QianfanLLMEndpoint from langflow.interface.custom.custom_component import CustomComponent from langflow.field_typing import BaseLanguageModel diff --git a/src/backend/base/langflow/components/model_specs/ChatMistralSpecs.py b/src/backend/base/langflow/components/model_specs/ChatMistralSpecs.py new file mode 100644 index 000000000..90f94aacd --- /dev/null +++ b/src/backend/base/langflow/components/model_specs/ChatMistralSpecs.py @@ -0,0 +1,87 @@ +from typing import Optional + +from langchain_mistralai import ChatMistralAI +from pydantic.v1 import SecretStr + +from langflow.custom import CustomComponent +from langflow.field_typing import BaseLanguageModel + + +class MistralAIModelComponent(CustomComponent): + display_name: str = "MistralAI" + description: str = "Generate text using MistralAI LLMs." + icon = "MistralAI" + + field_order = [ + "model", + "mistral_api_key", + "max_tokens", + "temperature", + "mistral_api_base", + ] + + def build_config(self): + return { + "model": { + "display_name": "Model Name", + "options": [ + "open-mistral-7b", + "open-mixtral-8x7b", + "open-mixtral-8x22b", + "mistral-small-latest", + "mistral-medium-latest", + "mistral-large-latest", + ], + "info": "Name of the model to use.", + "required": True, + "value": "open-mistral-7b", + }, + "mistral_api_key": { + "display_name": "Mistral API Key", + "required": True, + "password": True, + "info": "Your Mistral API key.", + }, + "max_tokens": { + "display_name": "Max Tokens", + "field_type": "int", + "advanced": True, + "value": 256, + }, + "temperature": { + "display_name": "Temperature", + "field_type": "float", + "value": 0.1, + }, + "mistral_api_base": { + "display_name": "Mistral API Base", + "advanced": True, + "info": "Endpoint of the Mistral API. Defaults to 'https://api.mistral.ai' if not specified.", + }, + "code": {"show": False}, + } + + def build( + self, + model: str, + temperature: float = 0.1, + mistral_api_key: Optional[str] = None, + max_tokens: Optional[int] = None, + mistral_api_base: Optional[str] = None, + ) -> BaseLanguageModel: + # Set default API endpoint if not provided + if not mistral_api_base: + mistral_api_base = "https://api.mistral.ai" + + try: + output = ChatMistralAI( + model_name=model, + api_key=(SecretStr(mistral_api_key) if mistral_api_key else None), + max_tokens=max_tokens, + temperature=temperature, + endpoint=mistral_api_base, + ) + except Exception as e: + raise ValueError("Could not connect to Mistral API.") from e + + return output diff --git a/src/backend/base/langflow/components/model_specs/ChatOpenAISpecs.py b/src/backend/base/langflow/components/model_specs/ChatOpenAISpecs.py index 704090620..75f893582 100644 --- a/src/backend/base/langflow/components/model_specs/ChatOpenAISpecs.py +++ b/src/backend/base/langflow/components/model_specs/ChatOpenAISpecs.py @@ -1,9 +1,11 @@ from typing import Optional -from langflow.field_typing import BaseLanguageModel -from langchain_community.chat_models.openai import ChatOpenAI +from langchain_openai import ChatOpenAI +from pydantic.v1 import SecretStr -from langflow.field_typing import NestedDict + +from langflow.base.models.openai_constants import MODEL_NAMES +from langflow.field_typing import BaseLanguageModel, NestedDict from langflow.interface.custom.custom_component import CustomComponent @@ -24,19 +26,7 @@ class ChatOpenAIComponent(CustomComponent): "advanced": True, "required": False, }, - "model_name": { - "display_name": "Model Name", - "advanced": False, - "required": False, - "options": [ - "gpt-4-turbo-preview", - "gpt-4-0125-preview", - "gpt-4-1106-preview", - "gpt-4-vision-preview", - "gpt-3.5-turbo-0125", - "gpt-3.5-turbo-1106", - ], - }, + "model_name": {"display_name": "Model Name", "advanced": False, "options": MODEL_NAMES}, "openai_api_base": { "display_name": "OpenAI API Base", "advanced": False, @@ -64,18 +54,22 @@ class ChatOpenAIComponent(CustomComponent): self, max_tokens: Optional[int] = 256, model_kwargs: NestedDict = {}, - model_name: str = "gpt-4-1106-preview", + model_name: str = "gpt-4o", openai_api_base: Optional[str] = None, openai_api_key: Optional[str] = None, temperature: float = 0.7, ) -> BaseLanguageModel: if not openai_api_base: openai_api_base = "https://api.openai.com/v1" + if openai_api_key: + api_key = SecretStr(openai_api_key) + else: + api_key = None return ChatOpenAI( max_tokens=max_tokens, model_kwargs=model_kwargs, model=model_name, base_url=openai_api_base, - api_key=openai_api_key, + api_key=api_key, temperature=temperature, ) diff --git a/src/backend/base/langflow/components/model_specs/GroqModelSpecs.py b/src/backend/base/langflow/components/model_specs/GroqModelSpecs.py new file mode 100644 index 000000000..ec203471c --- /dev/null +++ b/src/backend/base/langflow/components/model_specs/GroqModelSpecs.py @@ -0,0 +1,86 @@ +from typing import Optional + +from langchain_groq import ChatGroq +from pydantic.v1 import SecretStr + +from langflow.base.constants import STREAM_INFO_TEXT +from langflow.base.models.groq_constants import MODEL_NAMES +from langflow.base.models.model import LCModelComponent +from langflow.field_typing import BaseLanguageModel + + +class GroqModelSpecs(LCModelComponent): + display_name: str = "Groq" + description: str = "Generate text using Groq." + icon = "Groq" + + field_order = [ + "groq_api_key", + "model", + "max_output_tokens", + "temperature", + "top_k", + "top_p", + "n", + "input_value", + "system_message", + "stream", + ] + + def build_config(self): + return { + "groq_api_key": { + "display_name": "Groq API Key", + "info": "API key for the Groq API.", + "password": True, + }, + "groq_api_base": { + "display_name": "Groq API Base", + "info": "Base URL path for API requests, leave blank if not using a proxy or service emulator.", + "advanced": True, + }, + "max_tokens": { + "display_name": "Max Output Tokens", + "info": "The maximum number of tokens to generate.", + "advanced": True, + }, + "temperature": { + "display_name": "Temperature", + "info": "Run inference with this temperature. Must by in the closed interval [0.0, 1.0].", + }, + "n": { + "display_name": "N", + "info": "Number of chat completions to generate for each prompt. Note that the API may not return the full n completions if duplicates are generated.", + "advanced": True, + }, + "model_name": { + "display_name": "Model", + "info": "The name of the model to use. Supported examples: gemini-pro", + "options": MODEL_NAMES, + }, + "stream": { + "display_name": "Stream", + "info": STREAM_INFO_TEXT, + "advanced": True, + }, + } + + def build( + self, + groq_api_key: str, + model_name: str, + groq_api_base: Optional[str] = None, + max_tokens: Optional[int] = None, + temperature: float = 0.1, + n: Optional[int] = 1, + stream: bool = False, + ) -> BaseLanguageModel: + return ChatGroq( + model_name=model_name, + max_tokens=max_tokens or None, # type: ignore + temperature=temperature, + groq_api_base=groq_api_base, + n=n or 1, + groq_api_key=SecretStr(groq_api_key), + streaming=stream, + ) diff --git a/src/backend/base/langflow/components/model_specs/HuggingFaceEndpointsSpecs.py b/src/backend/base/langflow/components/model_specs/HuggingFaceEndpointsSpecs.py index c16fb2c2c..c145105ea 100644 --- a/src/backend/base/langflow/components/model_specs/HuggingFaceEndpointsSpecs.py +++ b/src/backend/base/langflow/components/model_specs/HuggingFaceEndpointsSpecs.py @@ -1,7 +1,7 @@ from typing import Optional from langflow.field_typing import BaseLanguageModel -from langchain.llms.huggingface_endpoint import HuggingFaceEndpoint +from langchain_community.llms.huggingface_endpoint import HuggingFaceEndpoint from langflow.interface.custom.custom_component import CustomComponent diff --git a/src/backend/base/langflow/components/models/AzureOpenAIModel.py b/src/backend/base/langflow/components/models/AzureOpenAIModel.py index b6d3607f3..a2ee20b28 100644 --- a/src/backend/base/langflow/components/models/AzureOpenAIModel.py +++ b/src/backend/base/langflow/components/models/AzureOpenAIModel.py @@ -1,6 +1,5 @@ from typing import Optional -from langchain.llms.base import BaseLanguageModel from langchain_openai import AzureChatOpenAI from pydantic.v1 import SecretStr diff --git a/src/backend/base/langflow/components/models/ChatLiteLLMModel.py b/src/backend/base/langflow/components/models/ChatLiteLLMModel.py index 23ac483cb..95574f0a5 100644 --- a/src/backend/base/langflow/components/models/ChatLiteLLMModel.py +++ b/src/backend/base/langflow/components/models/ChatLiteLLMModel.py @@ -4,7 +4,7 @@ from langchain_community.chat_models.litellm import ChatLiteLLM, ChatLiteLLMExce from langflow.base.constants import STREAM_INFO_TEXT from langflow.base.models.model import LCModelComponent -from langflow.field_typing import BaseLanguageModel, Text +from langflow.field_typing import Text class ChatLiteLLMModelComponent(LCModelComponent): diff --git a/src/backend/base/langflow/components/models/GroqModel.py b/src/backend/base/langflow/components/models/GroqModel.py new file mode 100644 index 000000000..91959e751 --- /dev/null +++ b/src/backend/base/langflow/components/models/GroqModel.py @@ -0,0 +1,95 @@ +from typing import Optional + +from langchain_groq import ChatGroq +from langflow.base.models.groq_constants import MODEL_NAMES +from pydantic.v1 import SecretStr + +from langflow.base.constants import STREAM_INFO_TEXT +from langflow.base.models.model import LCModelComponent +from langflow.field_typing import Text + + +class GroqModel(LCModelComponent): + display_name: str = "Groq" + description: str = "Generate text using Groq." + icon = "Groq" + + field_order = [ + "groq_api_key", + "model", + "max_output_tokens", + "temperature", + "top_k", + "top_p", + "n", + "input_value", + "system_message", + "stream", + ] + + def build_config(self): + return { + "groq_api_key": { + "display_name": "Groq API Key", + "info": "API key for the Groq API.", + "password": True, + }, + "groq_api_base": { + "display_name": "Groq API Base", + "info": "Base URL path for API requests, leave blank if not using a proxy or service emulator.", + "advanced": True, + }, + "max_tokens": { + "display_name": "Max Output Tokens", + "info": "The maximum number of tokens to generate.", + "advanced": True, + }, + "temperature": { + "display_name": "Temperature", + "info": "Run inference with this temperature. Must by in the closed interval [0.0, 1.0].", + }, + "n": { + "display_name": "N", + "info": "Number of chat completions to generate for each prompt. Note that the API may not return the full n completions if duplicates are generated.", + "advanced": True, + }, + "model_name": { + "display_name": "Model", + "info": "The name of the model to use. Supported examples: gemini-pro", + "options": MODEL_NAMES, + }, + "input_value": {"display_name": "Input", "info": "The input to the model."}, + "stream": { + "display_name": "Stream", + "info": STREAM_INFO_TEXT, + "advanced": True, + }, + "system_message": { + "display_name": "System Message", + "info": "System message to pass to the model.", + "advanced": True, + }, + } + + def build( + self, + groq_api_key: str, + model_name: str, + input_value: Text, + groq_api_base: Optional[str] = None, + max_tokens: Optional[int] = None, + temperature: float = 0.1, + n: Optional[int] = 1, + stream: bool = False, + system_message: Optional[str] = None, + ) -> Text: + output = ChatGroq( + model_name=model_name, + max_tokens=max_tokens or None, # type: ignore + temperature=temperature, + groq_api_base=groq_api_base, + n=n or 1, + groq_api_key=SecretStr(groq_api_key), + streaming=stream, + ) + return self.get_chat_result(output, stream, input_value, system_message) diff --git a/src/backend/base/langflow/components/models/MistralModel.py b/src/backend/base/langflow/components/models/MistralModel.py new file mode 100644 index 000000000..b8834b314 --- /dev/null +++ b/src/backend/base/langflow/components/models/MistralModel.py @@ -0,0 +1,141 @@ +from typing import Optional + +from langchain_mistralai import ChatMistralAI +from pydantic.v1 import SecretStr + +from langflow.base.constants import STREAM_INFO_TEXT +from langflow.base.models.model import LCModelComponent +from langflow.field_typing import Text + + +class MistralAIModelComponent(LCModelComponent): + display_name = "MistralAI" + description = "Generates text using MistralAI LLMs." + icon = "MistralAI" + + field_order = [ + "max_tokens", + "model_kwargs", + "model_name", + "mistral_api_base", + "mistral_api_key", + "temperature", + "input_value", + "system_message", + "stream", + ] + + def build_config(self): + return { + "input_value": {"display_name": "Input"}, + "max_tokens": { + "display_name": "Max Tokens", + "advanced": True, + }, + "model_name": { + "display_name": "Model Name", + "advanced": False, + "options": [ + "open-mistral-7b", + "open-mixtral-8x7b", + "open-mixtral-8x22b", + "mistral-small-latest", + "mistral-medium-latest", + "mistral-large-latest", + ], + "value": "open-mistral-7b", + }, + "mistral_api_base": { + "display_name": "Mistral API Base", + "advanced": True, + "info": ( + "The base URL of the Mistral API. Defaults to https://api.mistral.ai.\n\n" + "You can change this to use other APIs like JinaChat, LocalAI and Prem." + ), + }, + "mistral_api_key": { + "display_name": "Mistral API Key", + "info": "The Mistral API Key to use for the Mistral model.", + "advanced": False, + "password": True, + }, + "temperature": { + "display_name": "Temperature", + "advanced": False, + "value": 0.1, + }, + "stream": { + "display_name": "Stream", + "info": STREAM_INFO_TEXT, + "advanced": True, + }, + "system_message": { + "display_name": "System Message", + "info": "System message to pass to the model.", + "advanced": True, + }, + "max_retries": { + "display_name": "Max Retries", + "advanced": True, + }, + "timeout": { + "display_name": "Timeout", + "advanced": True, + }, + "max_concurrent_requests": { + "display_name": "Max Concurrent Requests", + "advanced": True, + }, + "top_p": { + "display_name": "Top P", + "advanced": True, + }, + "random_seed": { + "display_name": "Random Seed", + "advanced": True, + }, + "safe_mode": { + "display_name": "Safe Mode", + "advanced": True, + }, + } + + def build( + self, + input_value: Text, + mistral_api_key: str, + model_name: str, + temperature: float = 0.1, + max_tokens: Optional[int] = 256, + mistral_api_base: Optional[str] = None, + stream: bool = False, + system_message: Optional[str] = None, + max_retries: int = 5, + timeout: int = 120, + max_concurrent_requests: int = 64, + top_p: float = 1, + random_seed: Optional[int] = None, + safe_mode: bool = False, + ) -> Text: + if not mistral_api_base: + mistral_api_base = "https://api.mistral.ai" + if mistral_api_key: + api_key = SecretStr(mistral_api_key) + else: + api_key = None + + chat_model = ChatMistralAI( + max_tokens=max_tokens, + model_name=model_name, + endpoint=mistral_api_base, + api_key=api_key, + temperature=temperature, + max_retries=max_retries, + timeout=timeout, + max_concurrent_requests=max_concurrent_requests, + top_p=top_p, + random_seed=random_seed, + safe_mode=safe_mode, + ) + + return self.get_chat_result(chat_model, stream, input_value, system_message) diff --git a/src/backend/base/langflow/components/models/OpenAIModel.py b/src/backend/base/langflow/components/models/OpenAIModel.py index 641eeb755..149c93ad3 100644 --- a/src/backend/base/langflow/components/models/OpenAIModel.py +++ b/src/backend/base/langflow/components/models/OpenAIModel.py @@ -5,6 +5,7 @@ from pydantic.v1 import SecretStr from langflow.base.constants import STREAM_INFO_TEXT from langflow.base.models.model import LCModelComponent +from langflow.base.models.openai_constants import MODEL_NAMES from langflow.field_typing import NestedDict, Text @@ -39,17 +40,7 @@ class OpenAIModelComponent(LCModelComponent): "model_name": { "display_name": "Model Name", "advanced": False, - "options": [ - "gpt-4-turbo-2024-04-09", - "gpt-4-turbo-preview", - "gpt-3.5-turbo", - "gpt-4-0125-preview", - "gpt-4-1106-preview", - "gpt-4-vision-preview", - "gpt-3.5-turbo-0125", - "gpt-3.5-turbo-1106", - ], - "value": "gpt-4-turbo-preview", + "options": MODEL_NAMES, }, "openai_api_base": { "display_name": "OpenAI API Base", @@ -87,7 +78,7 @@ class OpenAIModelComponent(LCModelComponent): input_value: Text, openai_api_key: str, temperature: float, - model_name: str, + model_name: str = "gpt-4o", max_tokens: Optional[int] = 256, model_kwargs: NestedDict = {}, openai_api_base: Optional[str] = None, diff --git a/src/backend/base/langflow/components/outputs/ChatOutput.py b/src/backend/base/langflow/components/outputs/ChatOutput.py index cf1826c2d..5d944853c 100644 --- a/src/backend/base/langflow/components/outputs/ChatOutput.py +++ b/src/backend/base/langflow/components/outputs/ChatOutput.py @@ -7,7 +7,7 @@ from langflow.schema import Record class ChatOutput(ChatComponent): display_name = "Chat Output" - description = "Display a chat message in the Interaction Panel." + description = "Display a chat message in the Playground." icon = "ChatOutput" def build( diff --git a/src/backend/base/langflow/components/outputs/RecordsOutput.py b/src/backend/base/langflow/components/outputs/RecordsOutput.py new file mode 100644 index 000000000..25eae862e --- /dev/null +++ b/src/backend/base/langflow/components/outputs/RecordsOutput.py @@ -0,0 +1,10 @@ +from langflow.custom import CustomComponent +from langflow.schema import Record + + +class RecordsOutput(CustomComponent): + display_name = "Records Output" + description = "Display Records as a Table" + + def build(self, input_value: Record) -> Record: + return input_value diff --git a/src/backend/base/langflow/components/outputs/TextOutput.py b/src/backend/base/langflow/components/outputs/TextOutput.py index 8d14ee357..0d55621b2 100644 --- a/src/backend/base/langflow/components/outputs/TextOutput.py +++ b/src/backend/base/langflow/components/outputs/TextOutput.py @@ -6,7 +6,7 @@ from langflow.field_typing import Text class TextOutput(TextComponent): display_name = "Text Output" - description = "Display a text output in the Interaction Panel." + description = "Display a text output in the Playground." icon = "type" def build_config(self): diff --git a/src/backend/base/langflow/components/vectorsearch/CouchbaseSearch.py b/src/backend/base/langflow/components/vectorsearch/CouchbaseSearch.py new file mode 100644 index 000000000..0c8a815a4 --- /dev/null +++ b/src/backend/base/langflow/components/vectorsearch/CouchbaseSearch.py @@ -0,0 +1,73 @@ +from typing import List, Optional + +from langflow.components.vectorstores.base.model import LCVectorStoreComponent +from langflow.components.vectorstores.Couchbase import CouchbaseComponent +from langflow.field_typing import Embeddings, NestedDict, Text +from langflow.schema import Record + + +class CouchbaseSearchComponent(LCVectorStoreComponent): + display_name = "Couchbase Search" + description = "Search a Couchbase Vector Store for similar documents." + documentation = "https://python.langchain.com/docs/integrations/vectorstores/couchbase" + icon = "Couchbase" + field_order = [ + "couchbase_connection_string", + "couchbase_username", + "couchbase_password", + "bucket_name", + "scope_name", + "collection_name", + "index_name", + ] + + def build_config(self): + return { + "input_value": {"display_name": "Input"}, + "embedding": {"display_name": "Embedding"}, + "couchbase_connection_string": {"display_name": "Couchbase Cluster connection string","required": True}, + "couchbase_username": {"display_name": "Couchbase username","required": True}, + "couchbase_password": { + "display_name": "Couchbase password", + "password": True, + "required": True + }, + "bucket_name": {"display_name": "Bucket Name","required": True}, + "scope_name": {"display_name": "Scope Name","required": True}, + "collection_name": {"display_name": "Collection Name","required": True}, + "index_name": {"display_name": "Index Name","required": True}, + "number_of_results": { + "display_name": "Number of Results", + "info": "Number of results to return.", + "advanced": True, + }, + } + + def build( # type: ignore[override] + self, + input_value: Text, + embedding: Embeddings, + number_of_results: int = 4, + bucket_name: str = "", + scope_name: str = "", + collection_name: str = "", + index_name: str = "", + couchbase_connection_string: str = "", + couchbase_username: str = "", + couchbase_password: str = "", + ) -> List[Record]: + vector_store = CouchbaseComponent().build( + couchbase_connection_string=couchbase_connection_string, + couchbase_username=couchbase_username, + couchbase_password=couchbase_password, + bucket_name=bucket_name, + scope_name=scope_name, + collection_name=collection_name, + embedding=embedding, + index_name=index_name, + ) + if not vector_store: + raise ValueError("Failed to create Couchbase Vector Store") + return self.search_with_vector_store( + vector_store=vector_store, input_value=input_value, search_type="similarity", k=number_of_results + ) diff --git a/src/backend/base/langflow/components/vectorsearch/PineconeSearch.py b/src/backend/base/langflow/components/vectorsearch/PineconeSearch.py index 3f318c748..d4818f354 100644 --- a/src/backend/base/langflow/components/vectorsearch/PineconeSearch.py +++ b/src/backend/base/langflow/components/vectorsearch/PineconeSearch.py @@ -1,5 +1,7 @@ from typing import List, Optional +from langchain_pinecone._utilities import DistanceStrategy + from langflow.components.vectorstores.base.model import LCVectorStoreComponent from langflow.components.vectorstores.Pinecone import PineconeComponent from langflow.field_typing import Embeddings, Text @@ -11,8 +13,11 @@ class PineconeSearchComponent(PineconeComponent, LCVectorStoreComponent): display_name = "Pinecone Search" description = "Search a Pinecone Vector Store for similar documents." icon = "Pinecone" + field_order = ["index_name", "namespace", "distance_strategy", "pinecone_api_key", "input_value", "embedding"] def build_config(self): + distance_options = [e.value.title().replace("_", " ") for e in DistanceStrategy] + distance_value = distance_options[0] return { "search_type": { "display_name": "Search Type", @@ -21,17 +26,19 @@ class PineconeSearchComponent(PineconeComponent, LCVectorStoreComponent): "input_value": {"display_name": "Input"}, "embedding": {"display_name": "Embedding"}, "index_name": {"display_name": "Index Name"}, - "namespace": {"display_name": "Namespace"}, + "namespace": {"display_name": "Namespace", "advanced": True}, + "distance_strategy": { + "display_name": "Distance Strategy", + # get values from enum + # and make them title case for display + "options": distance_options, + "advanced": True, + "value": distance_value, + }, "pinecone_api_key": { "display_name": "Pinecone API Key", "default": "", "password": True, - "required": True, - }, - "pinecone_env": { - "display_name": "Pinecone Environment", - "default": "", - "required": True, }, "pool_threads": { "display_name": "Pool Threads", @@ -43,13 +50,18 @@ class PineconeSearchComponent(PineconeComponent, LCVectorStoreComponent): "info": "Number of results to return.", "advanced": True, }, + "text_key": { + "display_name": "Text Key", + "info": "Key in the record to use as text.", + "advanced": True, + }, } def build( # type: ignore[override] self, input_value: Text, embedding: Embeddings, - pinecone_env: str, + distance_strategy: str, text_key: str = "text", number_of_results: int = 4, pool_threads: int = 4, @@ -61,7 +73,7 @@ class PineconeSearchComponent(PineconeComponent, LCVectorStoreComponent): ) -> List[Record]: # type: ignore[override] vector_store = super().build( embedding=embedding, - pinecone_env=pinecone_env, + distance_strategy=distance_strategy, inputs=[], text_key=text_key, pool_threads=pool_threads, diff --git a/src/backend/base/langflow/components/vectorsearch/WeaviateSearch.py b/src/backend/base/langflow/components/vectorsearch/WeaviateSearch.py index f47538f2e..fd5ccd1aa 100644 --- a/src/backend/base/langflow/components/vectorsearch/WeaviateSearch.py +++ b/src/backend/base/langflow/components/vectorsearch/WeaviateSearch.py @@ -61,10 +61,10 @@ class WeaviateSearchVectorStore(WeaviateVectorStoreComponent, LCVectorStoreCompo input_value: Text, search_type: str, url: str, + index_name: str, number_of_results: int = 4, search_by_text: bool = False, api_key: Optional[str] = None, - index_name: Optional[str] = None, text_key: str = "text", embedding: Optional[Embeddings] = None, attributes: Optional[list] = None, diff --git a/src/backend/base/langflow/components/vectorsearch/__init__.py b/src/backend/base/langflow/components/vectorsearch/__init__.py index 28ea85fce..4cdf5b83c 100644 --- a/src/backend/base/langflow/components/vectorsearch/__init__.py +++ b/src/backend/base/langflow/components/vectorsearch/__init__.py @@ -9,10 +9,12 @@ from .SupabaseVectorStoreSearch import SupabaseSearchComponent from .VectaraSearch import VectaraSearchComponent from .WeaviateSearch import WeaviateSearchVectorStore from .pgvectorSearch import PGVectorSearchComponent +from .Couchbase import CouchbaseSearchComponent # type: ignore __all__ = [ "AstraDBSearchComponent", "ChromaSearchComponent", + "CouchbaseSearchComponent", "FAISSSearchComponent", "MongoDBAtlasSearchComponent", "PineconeSearchComponent", diff --git a/src/backend/base/langflow/components/vectorstores/Couchbase.py b/src/backend/base/langflow/components/vectorstores/Couchbase.py new file mode 100644 index 000000000..1816e85fb --- /dev/null +++ b/src/backend/base/langflow/components/vectorstores/Couchbase.py @@ -0,0 +1,95 @@ +from typing import List, Optional, Union + +from langchain.schema import BaseRetriever + +from langchain_community.vectorstores import CouchbaseVectorStore + +from langflow.custom import CustomComponent +from langflow.field_typing import Embeddings, VectorStore +from langflow.schema import Record + +from datetime import timedelta + +from couchbase.auth import PasswordAuthenticator # type: ignore +from couchbase.cluster import Cluster # type: ignore +from couchbase.options import ClusterOptions # type: ignore + + +class CouchbaseComponent(CustomComponent): + display_name = "Couchbase" + description = "Construct a `Couchbase Vector Search` vector store from raw documents." + documentation = "https://python.langchain.com/docs/integrations/vectorstores/couchbase" + icon = "Couchbase" + field_order = [ + "couchbase_connection_string", + "couchbase_username", + "couchbase_password", + "bucket_name", + "scope_name", + "collection_name", + "index_name", + ] + + def build_config(self): + return { + "inputs": {"display_name": "Input", "input_types": ["Document", "Record"]}, + "embedding": {"display_name": "Embedding"}, + "couchbase_connection_string": {"display_name": "Couchbase Cluster connection string","required": True}, + "couchbase_username": {"display_name": "Couchbase username","required": True}, + "couchbase_password": { + "display_name": "Couchbase password", + "password": True, + "required": True + }, + "bucket_name": {"display_name": "Bucket Name","required": True}, + "scope_name": {"display_name": "Scope Name","required": True}, + "collection_name": {"display_name": "Collection Name","required": True}, + "index_name": {"display_name": "Index Name","required": True}, + } + + def build( + self, + embedding: Embeddings, + inputs: Optional[List[Record]] = None, + bucket_name: str = "", + scope_name: str = "", + collection_name: str = "", + index_name: str = "", + couchbase_connection_string: str = "", + couchbase_username: str = "", + couchbase_password: str = "", + ) -> Union[VectorStore, BaseRetriever]: + try: + auth = PasswordAuthenticator(couchbase_username, couchbase_password) + options = ClusterOptions(auth) + cluster = Cluster(couchbase_connection_string, options) + + cluster.wait_until_ready(timedelta(seconds=5)) + except Exception as e: + raise ValueError(f"Failed to connect to Couchbase: {e}") + documents = [] + for _input in inputs or []: + if isinstance(_input, Record): + documents.append(_input.to_lc_document()) + else: + documents.append(_input) + if documents: + vector_store = CouchbaseVectorStore.from_documents( + documents=documents, + cluster=cluster, + bucket_name=bucket_name, + scope_name=scope_name, + collection_name=collection_name, + embedding=embedding, + index_name=index_name, + ) + else: + vector_store = CouchbaseVectorStore( + cluster=cluster, + bucket_name=bucket_name, + scope_name=scope_name, + collection_name=collection_name, + embedding=embedding, + index_name=index_name, + ) + return vector_store diff --git a/src/backend/base/langflow/components/vectorstores/Pinecone.py b/src/backend/base/langflow/components/vectorstores/Pinecone.py index f596320b7..b25bb6086 100644 --- a/src/backend/base/langflow/components/vectorstores/Pinecone.py +++ b/src/backend/base/langflow/components/vectorstores/Pinecone.py @@ -1,10 +1,10 @@ -import os from typing import List, Optional, Union -import pinecone # type: ignore from langchain.schema import BaseRetriever from langchain_community.vectorstores import VectorStore -from langchain_community.vectorstores.pinecone import Pinecone +from langchain_core.documents import Document +from langchain_pinecone._utilities import DistanceStrategy +from langchain_pinecone.vectorstores import PineconeVectorStore from langflow.field_typing import Embeddings from langflow.interface.custom.custom_component import CustomComponent @@ -15,24 +15,31 @@ class PineconeComponent(CustomComponent): display_name = "Pinecone" description = "Construct Pinecone wrapper from raw documents." icon = "Pinecone" + field_order = ["index_name", "namespace", "distance_strategy", "pinecone_api_key", "documents", "embedding"] def build_config(self): + distance_options = [e.value.title().replace("_", " ") for e in DistanceStrategy] + distance_value = distance_options[0] return { "inputs": {"display_name": "Input", "input_types": ["Document", "Record"]}, "embedding": {"display_name": "Embedding"}, "index_name": {"display_name": "Index Name"}, "namespace": {"display_name": "Namespace"}, + "text_key": {"display_name": "Text Key"}, + "distance_strategy": { + "display_name": "Distance Strategy", + # get values from enum + # and make them title case for display + "options": distance_options, + "advanced": True, + "value": distance_value, + }, "pinecone_api_key": { "display_name": "Pinecone API Key", "default": "", "password": True, "required": True, }, - "pinecone_env": { - "display_name": "Pinecone Environment", - "default": "", - "required": True, - }, "pool_threads": { "display_name": "Pool Threads", "default": 1, @@ -40,23 +47,79 @@ class PineconeComponent(CustomComponent): }, } + def from_existing_index( + self, + index_name: str, + embedding: Embeddings, + pinecone_api_key: str | None, + text_key: str = "text", + namespace: Optional[str] = None, + distance_strategy: DistanceStrategy = DistanceStrategy.COSINE, + pool_threads: int = 4, + ) -> PineconeVectorStore: + """Load pinecone vectorstore from index name.""" + pinecone_index = PineconeVectorStore.get_pinecone_index( + index_name, pool_threads, pinecone_api_key=pinecone_api_key + ) + return PineconeVectorStore( + index=pinecone_index, + embedding=embedding, + text_key=text_key, + namespace=namespace, + distance_strategy=distance_strategy, + ) + + def from_documents( + self, + documents: List[Document], + embedding: Embeddings, + index_name: str, + pinecone_api_key: str | None, + text_key: str = "text", + namespace: Optional[str] = None, + pool_threads: int = 4, + distance_strategy: DistanceStrategy = DistanceStrategy.COSINE, + batch_size: int = 32, + upsert_kwargs: Optional[dict] = None, + embeddings_chunk_size: int = 1000, + ) -> PineconeVectorStore: + """Create a new pinecone vectorstore from documents.""" + texts = [d.page_content for d in documents] + metadatas = [d.metadata for d in documents] + pinecone = self.from_existing_index( + index_name=index_name, + embedding=embedding, + pinecone_api_key=pinecone_api_key, + text_key=text_key, + namespace=namespace, + distance_strategy=distance_strategy, + pool_threads=pool_threads, + ) + pinecone.add_texts( + texts, + metadatas=metadatas, + ids=None, + namespace=namespace, + batch_size=batch_size, + embedding_chunk_size=embeddings_chunk_size, + **(upsert_kwargs or {}), + ) + return pinecone + def build( self, embedding: Embeddings, - pinecone_env: str, + distance_strategy: str, inputs: Optional[List[Record]] = None, text_key: str = "text", pool_threads: int = 4, index_name: Optional[str] = None, pinecone_api_key: Optional[str] = None, namespace: Optional[str] = "default", - ) -> Union[VectorStore, Pinecone, BaseRetriever]: - if pinecone_api_key is None or pinecone_env is None: - raise ValueError("Pinecone API Key and Environment are required.") - if os.getenv("PINECONE_API_KEY") is None and pinecone_api_key is None: - raise ValueError("Pinecone API Key is required.") - - pinecone.init(api_key=pinecone_api_key, environment=pinecone_env) # type: ignore + ) -> Union[VectorStore, BaseRetriever]: + # get distance strategy from string + distance_strategy = distance_strategy.replace(" ", "_").upper() + _distance_strategy = DistanceStrategy[distance_strategy] if not index_name: raise ValueError("Index Name is required.") documents = [] @@ -66,19 +129,23 @@ class PineconeComponent(CustomComponent): else: documents.append(_input) if documents: - return Pinecone.from_documents( + return self.from_documents( documents=documents, embedding=embedding, index_name=index_name, - pool_threads=pool_threads, - namespace=namespace, + pinecone_api_key=pinecone_api_key, text_key=text_key, + namespace=namespace, + distance_strategy=_distance_strategy, + pool_threads=pool_threads, ) - return Pinecone.from_existing_index( + return self.from_existing_index( index_name=index_name, embedding=embedding, + pinecone_api_key=pinecone_api_key, text_key=text_key, namespace=namespace, + distance_strategy=_distance_strategy, pool_threads=pool_threads, ) diff --git a/src/backend/base/langflow/components/vectorstores/Weaviate.py b/src/backend/base/langflow/components/vectorstores/Weaviate.py index 3362a3fca..99ede77f7 100644 --- a/src/backend/base/langflow/components/vectorstores/Weaviate.py +++ b/src/backend/base/langflow/components/vectorstores/Weaviate.py @@ -4,6 +4,7 @@ import weaviate # type: ignore from langchain.embeddings.base import Embeddings from langchain.schema import BaseRetriever from langchain_community.vectorstores import VectorStore, Weaviate +from langchain_core.documents import Document from langflow.interface.custom.custom_component import CustomComponent from langflow.schema.schema import Record @@ -50,9 +51,9 @@ class WeaviateVectorStoreComponent(CustomComponent): def build( self, url: str, + index_name: str, search_by_text: bool = False, api_key: Optional[str] = None, - index_name: Optional[str] = None, text_key: str = "text", embedding: Optional[Embeddings] = None, inputs: Optional[Record] = None, @@ -78,11 +79,13 @@ class WeaviateVectorStoreComponent(CustomComponent): return pascal_case_word index_name = _to_pascal_case(index_name) if index_name else None - documents = [] + if not index_name: + raise ValueError("Index name is required") + documents: list[Document] = [] for _input in inputs or []: if isinstance(_input, Record): documents.append(_input.to_lc_document()) - else: + elif isinstance(_input, Document): documents.append(_input) if documents and embedding is not None: diff --git a/src/backend/base/langflow/components/vectorstores/__init__.py b/src/backend/base/langflow/components/vectorstores/__init__.py index 48e1bf9c7..d38b0a735 100644 --- a/src/backend/base/langflow/components/vectorstores/__init__.py +++ b/src/backend/base/langflow/components/vectorstores/__init__.py @@ -9,10 +9,12 @@ from .SupabaseVectorStore import SupabaseComponent from .Vectara import VectaraComponent from .Weaviate import WeaviateVectorStoreComponent from .pgvector import PGVectorComponent +from .Couchbase import CouchbaseComponent __all__ = [ "AstraDBVectorStoreComponent", "ChromaComponent", + "CouchbaseComponent", "FAISSComponent", "MongoDBAtlasComponent", "PineconeComponent", diff --git a/src/backend/base/langflow/config.yaml b/src/backend/base/langflow/config.yaml index 102cb9016..561fac48d 100644 --- a/src/backend/base/langflow/config.yaml +++ b/src/backend/base/langflow/config.yaml @@ -224,11 +224,7 @@ wrappers: documentation: "" SQLDatabase: documentation: "" -output_parsers: - StructuredOutputParser: - documentation: "https://python.langchain.com/docs/modules/model_io/output_parsers/structured" - ResponseSchema: - documentation: "https://python.langchain.com/docs/modules/model_io/output_parsers/structured" custom_components: CustomComponent: documentation: "https://docs.langflow.org/guidelines/custom-component" + # documentation: "https://docs.langflow.org/administration/custom-component" diff --git a/src/backend/base/langflow/graph/edge/base.py b/src/backend/base/langflow/graph/edge/base.py index ba7fe05e8..1fc2ef344 100644 --- a/src/backend/base/langflow/graph/edge/base.py +++ b/src/backend/base/langflow/graph/edge/base.py @@ -3,9 +3,7 @@ from typing import TYPE_CHECKING, Any, List, Optional from loguru import logger from pydantic import BaseModel, Field -from langflow.graph.edge.utils import build_clean_params from langflow.schema.schema import INPUT_FIELD_NAME -from langflow.services.deps import get_monitor_service from langflow.services.monitor.utils import log_message if TYPE_CHECKING: @@ -143,7 +141,6 @@ class ContractEdge(Edge): if not self.is_fulfilled: await self.honor(source, target) - log_transaction(self, source, target, "success") # If the target vertex is a power component we log messages if target.vertex_type == "ChatOutput" and ( isinstance(target.params.get(INPUT_FIELD_NAME), str) @@ -157,26 +154,9 @@ class ContractEdge(Edge): message=target.params.get(INPUT_FIELD_NAME, {}), session_id=target.params.get("session_id", ""), artifacts=target.artifacts, + flow_id=target.graph.flow_id, ) return self.result def __repr__(self) -> str: return f"{self.source_id} -[{self.target_param}]-> {self.target_id}" - - -def log_transaction(edge: ContractEdge, source: "Vertex", target: "Vertex", status, error=None): - try: - monitor_service = get_monitor_service() - clean_params = build_clean_params(target) - data = { - "source": source.vertex_type, - "target": target.vertex_type, - "target_args": clean_params, - "timestamp": monitor_service.get_timestamp(), - "status": status, - "error": error, - } - monitor_service.add_row(table_name="transactions", data=data) - except Exception as e: - logger.error(f"Error logging transaction: {e}") - logger.error(f"Error logging transaction: {e}") diff --git a/src/backend/base/langflow/graph/edge/utils.py b/src/backend/base/langflow/graph/edge/utils.py index 0f69e4b2d..e69de29bb 100644 --- a/src/backend/base/langflow/graph/edge/utils.py +++ b/src/backend/base/langflow/graph/edge/utils.py @@ -1,19 +0,0 @@ -from typing import TYPE_CHECKING - -if TYPE_CHECKING: - from langflow.graph.vertex.base import Vertex - - -def build_clean_params(target: "Vertex") -> dict: - """ - Cleans the parameters of the target vertex. - """ - # Removes all keys that the values aren't python types like str, int, bool, etc. - params = { - key: value for key, value in target.params.items() if isinstance(value, (str, int, bool, float, list, dict)) - } - # if it is a list we need to check if the contents are python types - for key, value in params.items(): - if isinstance(value, list): - params[key] = [item for item in value if isinstance(item, (str, int, bool, float, list, dict))] - return params diff --git a/src/backend/base/langflow/graph/graph/base.py b/src/backend/base/langflow/graph/graph/base.py index 9e7421f43..001dd7b51 100644 --- a/src/backend/base/langflow/graph/graph/base.py +++ b/src/backend/base/langflow/graph/graph/base.py @@ -3,7 +3,7 @@ import uuid from collections import defaultdict, deque from functools import partial from itertools import chain -from typing import TYPE_CHECKING, Callable, Coroutine, Dict, Generator, List, Optional, Type, Union +from typing import TYPE_CHECKING, Callable, Coroutine, Dict, Generator, List, Optional, Tuple, Type, Union from loguru import logger @@ -14,7 +14,7 @@ from langflow.graph.graph.state_manager import GraphStateManager from langflow.graph.graph.utils import process_flow from langflow.graph.schema import InterfaceComponentTypes, RunOutputs from langflow.graph.vertex.base import Vertex -from langflow.graph.vertex.types import ChatVertex, FileToolVertex, LLMVertex, RoutingVertex, StateVertex, ToolkitVertex +from langflow.graph.vertex.types import FileToolVertex, InterfaceVertex, LLMVertex, StateVertex, ToolkitVertex from langflow.interface.tools.constants import FILE_TOOLS from langflow.schema import Record from langflow.schema.schema import INPUT_FIELD_NAME, InputType @@ -75,7 +75,7 @@ class Graph: self.vertices: List[Vertex] = [] self.run_manager = RunnableVerticesManager() self._build_graph() - self.build_graph_maps() + self.build_graph_maps(self.edges) self.define_vertices_lists() self.state_manager = GraphStateManager() @@ -130,6 +130,18 @@ class Graph: ): vertices_ids.append(vertex_id) successors = self.get_all_successors(vertex, flat=True) + # Update run_manager.run_predecessors because we are activating vertices + # The run_prdecessors is the predecessor map of the vertices + # we remove the vertex_id from the predecessor map whenever we run a vertex + # So we need to get all edges of the vertex and successors + # and run self.build_adjacency_maps(edges) to get the new predecessor map + # that is not complete but we can use to update the run_predecessors + edges_set = set() + for vertex in [vertex] + successors: + edges_set.update(vertex.edges) + edges = list(edges_set) + new_predecessor_map, _ = self.build_adjacency_maps(edges) + self.run_manager.run_predecessors.update(new_predecessor_map) self.vertices_to_run.update(list(map(lambda x: x.id, successors))) self.activated_vertices = vertices_ids self.vertices_to_run.update(vertices_ids) @@ -154,6 +166,25 @@ class Graph: self.state_manager.append_state(name, record, run_id=self._run_id) + def validate_stream(self): + """ + Validates the stream configuration of the graph. + + If there are two vertices in the same graph (connected by edges) + that have `stream=True` or `streaming=True`, raises a `ValueError`. + + Raises: + ValueError: If two connected vertices have `stream=True` or `streaming=True`. + """ + for vertex in self.vertices: + if vertex.params.get("stream") or vertex.params.get("streaming"): + successors = self.get_all_successors(vertex) + for successor in successors: + if successor.params.get("stream") or successor.params.get("streaming"): + raise ValueError( + f"Components {vertex.display_name} and {successor.display_name} are connected and both have stream or streaming set to True" + ) + @property def run_id(self): """ @@ -211,6 +242,7 @@ class Graph: outputs: list[str], stream: bool, session_id: str, + fallback_to_env_vars: bool, ) -> List[Optional["ResultData"]]: """ Runs the graph with the given inputs. @@ -258,7 +290,7 @@ class Graph: start_component_id = next( (vertex_id for vertex_id in self._is_input_vertices if "chat" in vertex_id.lower()), None ) - await self.process(start_component_id=start_component_id) + await self.process(start_component_id=start_component_id, fallback_to_env_vars=fallback_to_env_vars) self.increment_run_count() except Exception as exc: logger.exception(exc) @@ -284,6 +316,7 @@ class Graph: outputs: Optional[list[str]] = None, session_id: Optional[str] = None, stream: bool = False, + fallback_to_env_vars: bool = False, ) -> List[RunOutputs]: """ Run the graph with the given inputs and return the outputs. @@ -309,6 +342,7 @@ class Graph: outputs=outputs, session_id=session_id, stream=stream, + fallback_to_env_vars=fallback_to_env_vars, ) try: @@ -331,6 +365,7 @@ class Graph: outputs: Optional[list[str]] = None, session_id: Optional[str] = None, stream: bool = False, + fallback_to_env_vars: bool = False, ) -> List[RunOutputs]: """ Runs the graph with the given inputs. @@ -372,6 +407,7 @@ class Graph: outputs=outputs or [], stream=stream, session_id=session_id or "", + fallback_to_env_vars=fallback_to_env_vars, ) run_output_object = RunOutputs(inputs=run_inputs, outputs=run_outputs) logger.debug(f"Run outputs: {run_output_object}") @@ -401,14 +437,20 @@ class Graph: "inactivated_vertices": self.inactivated_vertices, } - def build_graph_maps(self): + def build_graph_maps(self, edges: Optional[List[ContractEdge]] = None, vertices: Optional[List[Vertex]] = None): """ Builds the adjacency maps for the graph. """ - self.predecessor_map, self.successor_map = self.build_adjacency_maps() + if edges is None: + edges = self.edges - self.in_degree_map = self.build_in_degree() - self.parent_child_map = self.build_parent_child_map() + if vertices is None: + vertices = self.vertices + + self.predecessor_map, self.successor_map = self.build_adjacency_maps(edges) + + self.in_degree_map = self.build_in_degree(edges) + self.parent_child_map = self.build_parent_child_map(vertices) def reset_inactivated_vertices(self): """ @@ -427,15 +469,22 @@ class Graph: vertex = self.get_vertex(vertex_id) vertex.set_state(state) - def mark_branch(self, vertex_id: str, state: str): + def mark_branch(self, vertex_id: str, state: str, visited: Optional[set] = None): """Marks a branch of the graph.""" + if visited is None: + visited = set() + if vertex_id in visited: + return + visited.add(vertex_id) + self.mark_vertex(vertex_id, state) + for child_id in self.parent_child_map[vertex_id]: self.mark_branch(child_id, state) - def build_parent_child_map(self): + def build_parent_child_map(self, vertices: List[Vertex]): parent_child_map = defaultdict(list) - for vertex in self.vertices: + for vertex in vertices: parent_child_map[vertex.id] = [child.id for child in self.get_successors(vertex)] return parent_child_map @@ -559,6 +608,7 @@ class Graph: self.update_vertex_from_another(self_vertex, other_vertex) self.build_graph_maps() + self.define_vertices_lists() self.increment_update_count() return self @@ -668,6 +718,7 @@ class Graph: inputs_dict: Optional[Dict[str, str]] = None, files: Optional[list[str]] = None, user_id: Optional[str] = None, + fallback_to_env_vars: bool = False, ): """ Builds a vertex in the graph. @@ -689,7 +740,7 @@ class Graph: vertex = self.get_vertex(vertex_id) try: if not vertex.frozen or not vertex._built: - await vertex.build(user_id=user_id, inputs=inputs_dict, files=files) + await vertex.build(user_id=user_id, inputs=inputs_dict,files=files, fallback_to_env_vars=fallback_to_env_vars) if vertex.result is not None: params = vertex._built_object_repr() @@ -752,7 +803,7 @@ class Graph: vertices.append(vertex) return vertices - async def process(self, start_component_id: Optional[str] = None) -> "Graph": + async def process(self, fallback_to_env_vars: bool, start_component_id: Optional[str] = None) -> "Graph": """Processes the graph with vertices in each layer run in parallel.""" first_layer = self.sort_vertices(start_component_id=start_component_id) @@ -777,6 +828,7 @@ class Graph: vertex_id=vertex_id, user_id=self.user_id, inputs_dict={}, + fallback_to_env_vars=fallback_to_env_vars, ), name=f"{vertex.display_name} Run {vertex_task_run_count.get(vertex_id, 0)}", ) @@ -857,7 +909,7 @@ class Graph: """Returns the predecessors of a vertex.""" return [self.get_vertex(source_id) for source_id in self.predecessor_map.get(vertex.id, [])] - def get_all_successors(self, vertex, recursive=True, flat=True): + def get_all_successors(self, vertex: Vertex, recursive=True, flat=True): # Recursively get the successors of the current vertex # successors = vertex.successors # if not successors: @@ -894,7 +946,7 @@ class Graph: successors_result.append([successor]) return successors_result - def get_successors(self, vertex): + def get_successors(self, vertex: Vertex) -> List[Vertex]: """Returns the successors of a vertex.""" return [self.get_vertex(target_id) for target_id in self.successor_map.get(vertex.id, [])] @@ -943,10 +995,8 @@ class Graph: """Returns the node class based on the node type.""" # First we check for the node_base_type node_name = node_id.split("-")[0] - if node_name in ["ChatOutput", "ChatInput"]: - return ChatVertex - elif node_name in ["ShouldRunNext"]: - return RoutingVertex + if node_name in InterfaceComponentTypes: + return InterfaceVertex elif node_name in ["SharedState", "Notify", "Listen"]: return StateVertex elif node_base_type in lazy_load_vertex_dict.VERTEX_TYPE_MAP: @@ -1278,17 +1328,17 @@ class Graph: def remove_from_predecessors(self, vertex_id: str): self.run_manager.remove_from_predecessors(vertex_id) - def build_in_degree(self): - in_degree = defaultdict(int) - for edge in self.edges: + def build_in_degree(self, edges: List[ContractEdge]) -> Dict[str, int]: + in_degree: Dict[str, int] = defaultdict(int) + for edge in edges: in_degree[edge.target_id] += 1 return in_degree - def build_adjacency_maps(self): + def build_adjacency_maps(self, edges: List[ContractEdge]) -> Tuple[Dict[str, List[str]], Dict[str, List[str]]]: """Returns the adjacency maps for the graph.""" predecessor_map = defaultdict(list) successor_map = defaultdict(list) - for edge in self.edges: + for edge in edges: predecessor_map[edge.target_id].append(edge.source_id) successor_map[edge.source_id].append(edge.target_id) return predecessor_map, successor_map diff --git a/src/backend/base/langflow/graph/graph/constants.py b/src/backend/base/langflow/graph/graph/constants.py index 658c3c68a..2ed42fbff 100644 --- a/src/backend/base/langflow/graph/graph/constants.py +++ b/src/backend/base/langflow/graph/graph/constants.py @@ -1,3 +1,4 @@ +from langflow.graph.schema import CHAT_COMPONENTS from langflow.graph.vertex import types from langflow.interface.agents.base import agent_creator from langflow.interface.custom.base import custom_component_creator @@ -5,7 +6,6 @@ from langflow.interface.document_loaders.base import documentloader_creator from langflow.interface.embeddings.base import embedding_creator from langflow.interface.llms.base import llm_creator from langflow.interface.memories.base import memory_creator -from langflow.interface.output_parsers.base import output_parser_creator from langflow.interface.prompts.base import prompt_creator from langflow.interface.retrievers.base import retriever_creator from langflow.interface.text_splitters.base import textsplitter_creator @@ -14,9 +14,6 @@ from langflow.interface.tools.base import tool_creator from langflow.interface.wrappers.base import wrapper_creator from langflow.utils.lazy_load import LazyLoadDictBase -CHAT_COMPONENTS = ["ChatInput", "ChatOutput", "TextInput", "SessionID"] -ROUTING_COMPONENTS = ["ShouldRunNext"] - class VertexTypesDict(LazyLoadDictBase): def __init__(self): @@ -47,11 +44,9 @@ class VertexTypesDict(LazyLoadDictBase): # **{t: types.VectorStoreVertex for t in vectorstore_creator.to_list()}, **{t: types.DocumentLoaderVertex for t in documentloader_creator.to_list()}, **{t: types.TextSplitterVertex for t in textsplitter_creator.to_list()}, - **{t: types.OutputParserVertex for t in output_parser_creator.to_list()}, **{t: types.CustomComponentVertex for t in custom_component_creator.to_list()}, **{t: types.RetrieverVertex for t in retriever_creator.to_list()}, - **{t: types.ChatVertex for t in CHAT_COMPONENTS}, - **{t: types.RoutingVertex for t in ROUTING_COMPONENTS}, + **{t: types.InterfaceVertex for t in CHAT_COMPONENTS}, } def get_custom_component_vertex_type(self): diff --git a/src/backend/base/langflow/graph/graph/runnable_vertices_manager.py b/src/backend/base/langflow/graph/graph/runnable_vertices_manager.py index 875f43472..713aead65 100644 --- a/src/backend/base/langflow/graph/graph/runnable_vertices_manager.py +++ b/src/backend/base/langflow/graph/graph/runnable_vertices_manager.py @@ -15,6 +15,7 @@ class RunnableVerticesManager: def is_vertex_runnable(self, vertex_id: str) -> bool: """Determines if a vertex is runnable.""" + return vertex_id in self.vertices_to_run and not self.run_predecessors.get(vertex_id) def find_runnable_predecessors_for_successors(self, vertex_id: str) -> List[str]: diff --git a/src/backend/base/langflow/graph/schema.py b/src/backend/base/langflow/graph/schema.py index 0bbdfa720..18010de4c 100644 --- a/src/backend/base/langflow/graph/schema.py +++ b/src/backend/base/langflow/graph/schema.py @@ -30,6 +30,7 @@ class InterfaceComponentTypes(str, Enum, metaclass=ContainsEnumMeta): ChatOutput = "ChatOutput" TextInput = "TextInput" TextOutput = "TextOutput" + RecordsOutput = "RecordsOutput" def __contains__(cls, item): try: @@ -40,6 +41,8 @@ class InterfaceComponentTypes(str, Enum, metaclass=ContainsEnumMeta): return True +CHAT_COMPONENTS = [InterfaceComponentTypes.ChatInput, InterfaceComponentTypes.ChatOutput] +RECORDS_COMPONENTS = [InterfaceComponentTypes.RecordsOutput] INPUT_COMPONENTS = [ InterfaceComponentTypes.ChatInput, InterfaceComponentTypes.TextInput, diff --git a/src/backend/base/langflow/graph/vertex/base.py b/src/backend/base/langflow/graph/vertex/base.py index 337ee3dfe..3cbba34a1 100644 --- a/src/backend/base/langflow/graph/vertex/base.py +++ b/src/backend/base/langflow/graph/vertex/base.py @@ -10,7 +10,7 @@ from loguru import logger from langflow.graph.schema import INPUT_COMPONENTS, OUTPUT_COMPONENTS, InterfaceComponentTypes, ResultData from langflow.graph.utils import UnbuiltObject, UnbuiltResult -from langflow.graph.vertex.utils import generate_result +from langflow.graph.vertex.utils import generate_result, log_transaction from langflow.interface.initialize import loading from langflow.interface.listing import lazy_load_dict from langflow.schema.schema import INPUT_FIELD_NAME @@ -72,7 +72,6 @@ class Vertex: self.load_from_db_fields: List[str] = [] self.parent_is_top_level = False self.layer = None - self.should_run = True self.result: Optional[ResultData] = None try: self.is_interface_component = self.vertex_type in InterfaceComponentTypes @@ -316,7 +315,11 @@ class Vertex: params[field_name] = full_path elif field.get("required"): field_display_name = field.get("display_name") - raise ValueError(f"File path not found for {field_display_name} in component {self.display_name}") + logger.warning( + f"File path not found for {field_display_name} in component {self.display_name}. Setting to None." + ) + params[field_name] = None + elif field.get("type") in DIRECT_TYPES and params.get(field_name) is None: val = field.get("value") if field.get("type") == "code": @@ -391,13 +394,17 @@ class Vertex: self.params = self._raw_params.copy() self.updated_raw_params = True - async def _build(self, user_id=None): + async def _build( + self, + fallback_to_env_vars, + user_id=None, + ): """ Initiate the build process. """ logger.debug(f"Building {self.display_name}") await self._build_each_vertex_in_params_dict(user_id) - await self._get_and_instantiate_class(user_id) + await self._get_and_instantiate_class(user_id, fallback_to_env_vars) self._validate_built_object() self._built = True @@ -434,7 +441,11 @@ class Vertex: # to the frontend self.set_artifacts() artifacts = self.artifacts - messages = self.extract_messages_from_artifacts(artifacts) + if isinstance(artifacts, dict): + messages = self.extract_messages_from_artifacts(artifacts) + else: + messages = [] + result_dict = ResultData( results=result_dict, artifacts=artifacts, @@ -502,7 +513,7 @@ class Vertex: if not self._is_vertex(value): self.params[key][sub_key] = value else: - result = await value.get_result() + result = await value.get_result(self) self.params[key][sub_key] = result def _is_vertex(self, value): @@ -517,9 +528,7 @@ class Vertex: """ return all(self._is_vertex(vertex) for vertex in value) - async def get_result( - self, - ) -> Any: + async def get_result(self, requester: "Vertex") -> Any: """ Retrieves the result of the vertex. @@ -529,9 +538,9 @@ class Vertex: The result of the vertex. """ async with self._lock: - return await self._get_result() + return await self._get_result(requester) - async def _get_result(self) -> Any: + async def _get_result(self, requester: "Vertex") -> Any: """ Retrieves the result of the built component. @@ -541,15 +550,19 @@ class Vertex: The built result if use_result is True, else the built object. """ if not self._built: + log_transaction(source=self, target=requester, flow_id=self.graph.flow_id, status="error") raise ValueError(f"Component {self.display_name} has not been built yet") - return self._built_result if self.use_result else self._built_object + + result = self._built_result if self.use_result else self._built_object + log_transaction(source=self, target=requester, flow_id=self.graph.flow_id, status="success") + return result async def _build_vertex_and_update_params(self, key, vertex: "Vertex"): """ Builds a given vertex and updates the params dictionary accordingly. """ - result = await vertex.get_result() + result = await vertex.get_result(self) self._handle_func(key, result) if isinstance(result, list): self._extend_params_list_with_result(key, result) @@ -565,7 +578,7 @@ class Vertex: """ self.params[key] = [] for vertex in vertices: - result = await vertex.get_result() + result = await vertex.get_result(self) # Weird check to see if the params[key] is a list # because sometimes it is a Record and breaks the code if not isinstance(self.params[key], list): @@ -608,7 +621,7 @@ class Vertex: if isinstance(self.params[key], list): self.params[key].extend(result) - async def _get_and_instantiate_class(self, user_id=None): + async def _get_and_instantiate_class(self, user_id=None, fallback_to_env_vars=False): """ Gets the class from a dictionary and instantiates it with the params. """ @@ -617,6 +630,7 @@ class Vertex: try: result = await loading.instantiate_class( user_id=user_id, + fallback_to_env_vars=fallback_to_env_vars, vertex=self, ) self._update_built_object_and_artifacts(result) diff --git a/src/backend/base/langflow/graph/vertex/types.py b/src/backend/base/langflow/graph/vertex/types.py index 930139056..7d7608b9e 100644 --- a/src/backend/base/langflow/graph/vertex/types.py +++ b/src/backend/base/langflow/graph/vertex/types.py @@ -6,14 +6,14 @@ import yaml from langchain_core.messages import AIMessage from loguru import logger -from langflow.graph.schema import InterfaceComponentTypes +from langflow.graph.schema import CHAT_COMPONENTS, RECORDS_COMPONENTS, InterfaceComponentTypes from langflow.graph.utils import UnbuiltObject, flatten_list, serialize_field from langflow.graph.vertex.base import Vertex from langflow.interface.utils import extract_input_variables_from_prompt from langflow.schema import Record from langflow.schema.schema import INPUT_FIELD_NAME from langflow.services.monitor.utils import log_vertex_build -from langflow.utils.schemas import ChatOutputResponse +from langflow.utils.schemas import ChatOutputResponse, RecordOutputResponse from langflow.utils.util import unescape_string @@ -300,11 +300,6 @@ class PromptVertex(Vertex): return str(self._built_object) -class OutputParserVertex(Vertex): - def __init__(self, data: Dict, graph): - super().__init__(data, graph=graph, base_type="output_parsers") - - class CustomComponentVertex(Vertex): def __init__(self, data: Dict, graph): super().__init__(data, graph=graph, base_type="custom_components") @@ -314,7 +309,7 @@ class CustomComponentVertex(Vertex): return self.artifacts["repr"] or super()._built_object_repr() -class ChatVertex(Vertex): +class InterfaceVertex(Vertex): def __init__(self, data: Dict, graph): super().__init__(data, graph=graph, base_type="custom_components", is_task=True) self.steps = [self._build, self._run] @@ -330,52 +325,133 @@ class ChatVertex(Vertex): return f"Task {self.task_id} is not running" if self.artifacts: # dump as a yaml string - artifacts = {k.title().replace("_", " "): v for k, v in self.artifacts.items() if v is not None} + if isinstance(self.artifacts, dict): + _artifacts = [self.artifacts] + elif hasattr(self.artifacts, "records"): + _artifacts = self.artifacts.records + else: + _artifacts = self.artifacts + artifacts = [] + for artifact in _artifacts: + # artifacts = {k.title().replace("_", " "): v for k, v in self.artifacts.items() if v is not None} + artifact = {k.title().replace("_", " "): v for k, v in artifact.items() if v is not None} + artifacts.append(artifact) yaml_str = yaml.dump(artifacts, default_flow_style=False, allow_unicode=True) return yaml_str return super()._built_object_repr() + def _process_chat_component(self): + """ + Process the chat component and return the message. + + This method processes the chat component by extracting the necessary parameters + such as sender, sender_name, and message from the `params` dictionary. It then + performs additional operations based on the type of the `_built_object` attribute. + If `_built_object` is an instance of `AIMessage`, it creates a `ChatOutputResponse` + object using the `from_message` method. If `_built_object` is not an instance of + `UnbuiltObject`, it checks the type of `_built_object` and performs specific + operations accordingly. If `_built_object` is a dictionary, it converts it into a + code block. If `_built_object` is an instance of `Record`, it assigns the `text` + attribute to the `message` variable. If `message` is an instance of `AsyncIterator` + or `Iterator`, it builds a stream URL and sets `message` to an empty string. If + `_built_object` is not a string, it converts it to a string. If `message` is a + generator or iterator, it assigns it to the `message` variable. Finally, it creates + a `ChatOutputResponse` object using the extracted parameters and assigns it to the + `artifacts` attribute. If `artifacts` is not None, it calls the `model_dump` method + on it and assigns the result to the `artifacts` attribute. It then returns the + `message` variable. + + Returns: + str: The processed message. + """ + artifacts = None + sender = self.params.get("sender", None) + sender_name = self.params.get("sender_name", None) + message = self.params.get(INPUT_FIELD_NAME, None) + files = [{"path": file} if isinstance(file, str) else file for file in self.params.get("files", [])] + if isinstance(message, str): + message = unescape_string(message) + stream_url = None + if isinstance(self._built_object, AIMessage): + artifacts = ChatOutputResponse.from_message( + self._built_object, + sender=sender, + sender_name=sender_name, + ) + elif not isinstance(self._built_object, UnbuiltObject): + if isinstance(self._built_object, dict): + # Turn the dict into a pleasing to + # read JSON inside a code block + message = dict_to_codeblock(self._built_object) + elif isinstance(self._built_object, Record): + message = self._built_object.text + elif isinstance(message, (AsyncIterator, Iterator)): + stream_url = self.build_stream_url() + message = "" + elif not isinstance(self._built_object, str): + message = str(self._built_object) + # if the message is a generator or iterator + # it means that it is a stream of messages + else: + message = self._built_object + + artifacts = ChatOutputResponse( + message=message, + sender=sender, + sender_name=sender_name, + stream_url=stream_url, + files=files + ) + + self.will_stream = stream_url is not None + if artifacts: + self.artifacts = artifacts.model_dump(exclude_none=True) + + return message + + def _process_record_component(self): + """ + Process the record component of the vertex. + + If the built object is an instance of `Record`, it calls the `model_dump` method + and assigns the result to the `artifacts` attribute. + + If the built object is a list, it iterates over each element and checks if it is + an instance of `Record`. If it is, it calls the `model_dump` method and appends + the result to the `artifacts` list. If it is not, it raises a `ValueError` if the + `ignore_errors` parameter is set to `False`, or logs an error message if it is set + to `True`. + + Returns: + The built object. + + Raises: + ValueError: If an element in the list is not an instance of `Record` and + `ignore_errors` is set to `False`. + """ + if isinstance(self._built_object, Record): + artifacts = [self._built_object.data] + elif isinstance(self._built_object, list): + artifacts = [] + ignore_errors = self.params.get("ignore_errors", False) + for record in self._built_object: + if isinstance(record, Record): + artifacts.append(record.data) + elif ignore_errors: + logger.error(f"Record expected, but got {record} of type {type(record)}") + else: + raise ValueError(f"Record expected, but got {record} of type {type(record)}") + self.artifacts = RecordOutputResponse(records=artifacts) + return self._built_object + async def _run(self, *args, **kwargs): if self.is_interface_component: - if self.vertex_type in ["ChatOutput", "ChatInput"]: - artifacts = None - sender = self.params.get("sender", None) - sender_name = self.params.get("sender_name", None) - message = self.params.get(INPUT_FIELD_NAME, None) - files = [{"path": file} if isinstance(file, str) else file for file in self.params.get("files", [])] - if isinstance(message, str): - message = unescape_string(message) - stream_url = None - if isinstance(self._built_object, AIMessage): - artifacts = ChatOutputResponse.from_message( - self._built_object, sender=sender, sender_name=sender_name, files=files - ) - elif not isinstance(self._built_object, UnbuiltObject): - if isinstance(self._built_object, dict): - # Turn the dict into a pleasing to - # read JSON inside a code block - message = dict_to_codeblock(self._built_object) - elif isinstance(self._built_object, Record): - message = self._built_object.text - elif isinstance(message, (AsyncIterator, Iterator)): - stream_url = self.build_stream_url() - message = "" - elif not isinstance(self._built_object, str): - message = str(self._built_object) - # if the message is a generator or iterator - # it means that it is a stream of messages - else: - message = self._built_object - - artifacts = ChatOutputResponse( - message=message, sender=sender, sender_name=sender_name, stream_url=stream_url, files=files - ) - - self.will_stream = stream_url is not None - if artifacts: - self.artifacts = artifacts.model_dump(exclude_none=True) + if self.vertex_type in CHAT_COMPONENTS: + message = self._process_chat_component() + elif self.vertex_type in RECORDS_COMPONENTS: + message = self._process_record_component() if isinstance(self._built_object, (AsyncIterator, Iterator)): - if self.params["return_record"]: + if self.params.get("return_record", False): self._built_object = Record(text=message, data=self.artifacts) else: self._built_object = message @@ -436,41 +512,6 @@ class ChatVertex(Vertex): return self.vertex_type == InterfaceComponentTypes.ChatInput and self.is_input -class RoutingVertex(Vertex): - def __init__(self, data: Dict, graph): - super().__init__(data, graph=graph, base_type="custom_components") - self.use_result = True - self.steps = [self._build] - - def _built_object_repr(self): - if self.artifacts and "repr" in self.artifacts: - return self.artifacts["repr"] or super()._built_object_repr() - return super()._built_object_repr() - - @property - def successors_ids(self): - if isinstance(self._built_object, bool): - ids = super().successors_ids - if self._built_object: - return ids - return [] - raise ValueError("RoutingVertex should return a boolean value.") - - def _run(self, *args, **kwargs): - if self._built_object: - condition = self._built_object.get("condition") - result = self._built_object.get("result") - if condition is None: - raise ValueError("Condition is required for the routing vertex.") - if result is None: - raise ValueError("Result is required for the routing vertex.") - if condition is True: - self._built_result = result - else: - self.graph.mark_branch(self.id, "INACTIVE") - self._built_result = None - - class StateVertex(Vertex): def __init__(self, data: Dict, graph): super().__init__(data, graph=graph, base_type="custom_components") diff --git a/src/backend/base/langflow/graph/vertex/utils.py b/src/backend/base/langflow/graph/vertex/utils.py index ea2693e29..b978424f2 100644 --- a/src/backend/base/langflow/graph/vertex/utils.py +++ b/src/backend/base/langflow/graph/vertex/utils.py @@ -1,11 +1,15 @@ -from typing import Any, Optional, Union +from typing import Any, Optional, Union, TYPE_CHECKING from langchain_core.messages import BaseMessage from langchain_core.runnables import Runnable from loguru import logger +from langflow.services.deps import get_monitor_service from langflow.utils.constants import PYTHON_BASIC_TYPES +if TYPE_CHECKING: + from langflow.graph.vertex.base import Vertex + def is_basic_type(obj): return type(obj) in PYTHON_BASIC_TYPES @@ -63,3 +67,49 @@ async def generate_result(built_object: Any, inputs: dict, has_external_output: else: result = built_object return result + + +def build_clean_params(target: "Vertex") -> dict: + """ + Cleans the parameters of the target vertex. + """ + # Removes all keys that the values aren't python types like str, int, bool, etc. + params = { + key: value for key, value in target.params.items() if isinstance(value, (str, int, bool, float, list, dict)) + } + # if it is a list we need to check if the contents are python types + for key, value in params.items(): + if isinstance(value, list): + params[key] = [item for item in value if isinstance(item, (str, int, bool, float, list, dict))] + return params + + +def log_transaction(source: "Vertex", target: "Vertex", flow_id, status, error=None): + """ + Logs a transaction between two vertices. + + Args: + source (Vertex): The source vertex of the transaction. + target (Vertex): The target vertex of the transaction. + status: The status of the transaction. + error (Optional): Any error associated with the transaction. + + Raises: + Exception: If there is an error while logging the transaction. + + """ + try: + monitor_service = get_monitor_service() + clean_params = build_clean_params(target) + data = { + "source": source.vertex_type, + "target": target.vertex_type, + "target_args": clean_params, + "timestamp": monitor_service.get_timestamp(), + "status": status, + "error": error, + "flow_id": flow_id, + } + monitor_service.add_row(table_name="transactions", data=data) + except Exception as e: + logger.error(f"Error logging transaction: {e}") diff --git a/src/backend/base/langflow/initial_setup/setup.py b/src/backend/base/langflow/initial_setup/setup.py index ca2bc230a..3c976cb94 100644 --- a/src/backend/base/langflow/initial_setup/setup.py +++ b/src/backend/base/langflow/initial_setup/setup.py @@ -11,10 +11,11 @@ from sqlmodel import select from langflow.base.constants import FIELD_FORMAT_ATTRIBUTES, NODE_FORMAT_ATTRIBUTES from langflow.interface.types import get_all_components from langflow.services.database.models.flow.model import Flow, FlowCreate +from langflow.services.database.models.folder.model import Folder, FolderCreate from langflow.services.deps import get_settings_service, session_scope STARTER_FOLDER_NAME = "Starter Projects" - +STARTER_FOLDER_DESCRIPTION = "Starter projects to help you get started in Langflow." # In the folder ./starter_projects we have a few JSON files that represent # starter projects. We want to load these into the database so that users @@ -158,6 +159,7 @@ def create_new_project( project_data, project_icon, project_icon_bg_color, + new_folder_id ): logger.debug(f"Creating starter project {project_name}") new_project = FlowCreate( @@ -168,33 +170,41 @@ def create_new_project( data=project_data, is_component=project_is_component, updated_at=updated_at_datetime, - folder=STARTER_FOLDER_NAME, + folder_id=new_folder_id, ) db_flow = Flow.model_validate(new_project, from_attributes=True) session.add(db_flow) -def get_all_flows_similar_to_project(session, project_name): - flows = session.exec( - select(Flow).where( - Flow.name == project_name, - Flow.folder == STARTER_FOLDER_NAME, - ) - ).all() +def get_all_flows_similar_to_project(session, folder_id): + flows = session.exec(select(Folder).where(Folder.id == folder_id)).first().flows return flows -def delete_start_projects(session): - flows = session.exec( - select(Flow).where( - Flow.folder == STARTER_FOLDER_NAME, - ) - ).all() +def delete_start_projects(session, folder_id): + flows = session.exec(select(Folder).where(Folder.id == folder_id)).first().flows for flow in flows: session.delete(flow) session.commit() +def folder_exists(session, folder_name): + folder = session.exec(select(Folder).where(Folder.name == folder_name)).first() + return folder is not None + + +def create_starter_folder(session): + if not folder_exists(session, STARTER_FOLDER_NAME): + new_folder = FolderCreate(name=STARTER_FOLDER_NAME, description=STARTER_FOLDER_DESCRIPTION) + db_folder = Folder.model_validate(new_folder, from_attributes=True) + session.add(db_folder) + session.commit() + session.refresh(db_folder) + return db_folder + else: + return session.exec(select(Folder).where(Folder.name == STARTER_FOLDER_NAME)).first() + + def create_or_update_starter_projects(): components_paths = get_settings_service().settings.COMPONENTS_PATH try: @@ -203,8 +213,9 @@ def create_or_update_starter_projects(): logger.exception(f"Error loading components: {e}") raise e with session_scope() as session: + new_folder = create_starter_folder(session) starter_projects = load_starter_projects() - delete_start_projects(session) + delete_start_projects(session, new_folder.id) for project_path, project in starter_projects: ( project_name, @@ -224,7 +235,7 @@ def create_or_update_starter_projects(): update_project_file(project_path, project, updated_project_data) if project_name and project_data: - for existing_project in get_all_flows_similar_to_project(session, project_name): + for existing_project in get_all_flows_similar_to_project(session, new_folder.id): session.delete(existing_project) create_new_project( @@ -236,4 +247,5 @@ def create_or_update_starter_projects(): project_data, project_icon, project_icon_bg_color, + new_folder.id ) diff --git a/src/backend/base/langflow/initial_setup/starter_projects/Basic Prompting (Hello, world!).json b/src/backend/base/langflow/initial_setup/starter_projects/Basic Prompting (Hello, world!).json index eba575a6d..b8693e13f 100644 --- a/src/backend/base/langflow/initial_setup/starter_projects/Basic Prompting (Hello, world!).json +++ b/src/backend/base/langflow/initial_setup/starter_projects/Basic Prompting (Hello, world!).json @@ -45,9 +45,7 @@ "name": "template", "display_name": "Template", "advanced": false, - "input_types": [ - "Text" - ], + "input_types": ["Text"], "dynamic": false, "info": "", "load_from_db": false, @@ -86,22 +84,14 @@ "is_input": null, "is_output": null, "is_composition": null, - "base_classes": [ - "object", - "str", - "Text" - ], + "base_classes": ["object", "str", "Text"], "name": "", "display_name": "Prompt", "documentation": "", "custom_fields": { - "template": [ - "user_input" - ] + "template": ["user_input"] }, - "output_types": [ - "Text" - ], + "output_types": ["Text"], "full_path": null, "field_formatters": {}, "frozen": false, @@ -150,9 +140,7 @@ "info": "", "load_from_db": false, "title_case": false, - "input_types": [ - "Text" - ] + "input_types": ["Text"] }, "code": { "type": "code", @@ -161,7 +149,7 @@ "list": false, "show": true, "multiline": true, - "value": "from typing import Optional\n\nfrom langchain_openai import ChatOpenAI\nfrom pydantic.v1 import SecretStr\n\nfrom langflow.base.constants import STREAM_INFO_TEXT\nfrom langflow.base.models.model import LCModelComponent\nfrom langflow.field_typing import NestedDict, Text\n\n\nclass OpenAIModelComponent(LCModelComponent):\n display_name = \"OpenAI\"\n description = \"Generates text using OpenAI LLMs.\"\n icon = \"OpenAI\"\n\n field_order = [\n \"max_tokens\",\n \"model_kwargs\",\n \"model_name\",\n \"openai_api_base\",\n \"openai_api_key\",\n \"temperature\",\n \"input_value\",\n \"system_message\",\n \"stream\",\n ]\n\n def build_config(self):\n return {\n \"input_value\": {\"display_name\": \"Input\"},\n \"max_tokens\": {\n \"display_name\": \"Max Tokens\",\n \"advanced\": True,\n },\n \"model_kwargs\": {\n \"display_name\": \"Model Kwargs\",\n \"advanced\": True,\n },\n \"model_name\": {\n \"display_name\": \"Model Name\",\n \"advanced\": False,\n \"options\": [\n \"gpt-4-turbo-2024-04-09\",\n \"gpt-4-turbo-preview\",\n \"gpt-3.5-turbo\",\n \"gpt-4-0125-preview\",\n \"gpt-4-1106-preview\",\n \"gpt-4-vision-preview\",\n \"gpt-3.5-turbo-0125\",\n \"gpt-3.5-turbo-1106\",\n ],\n \"value\": \"gpt-4-turbo-preview\",\n },\n \"openai_api_base\": {\n \"display_name\": \"OpenAI API Base\",\n \"advanced\": True,\n \"info\": (\n \"The base URL of the OpenAI API. Defaults to https://api.openai.com/v1.\\n\\n\"\n \"You can change this to use other APIs like JinaChat, LocalAI and Prem.\"\n ),\n },\n \"openai_api_key\": {\n \"display_name\": \"OpenAI API Key\",\n \"info\": \"The OpenAI API Key to use for the OpenAI model.\",\n \"advanced\": False,\n \"password\": True,\n },\n \"temperature\": {\n \"display_name\": \"Temperature\",\n \"advanced\": False,\n \"value\": 0.1,\n },\n \"stream\": {\n \"display_name\": \"Stream\",\n \"info\": STREAM_INFO_TEXT,\n \"advanced\": True,\n },\n \"system_message\": {\n \"display_name\": \"System Message\",\n \"info\": \"System message to pass to the model.\",\n \"advanced\": True,\n },\n }\n\n def build(\n self,\n input_value: Text,\n openai_api_key: str,\n temperature: float,\n model_name: str,\n max_tokens: Optional[int] = 256,\n model_kwargs: NestedDict = {},\n openai_api_base: Optional[str] = None,\n stream: bool = False,\n system_message: Optional[str] = None,\n ) -> Text:\n if not openai_api_base:\n openai_api_base = \"https://api.openai.com/v1\"\n if openai_api_key:\n api_key = SecretStr(openai_api_key)\n else:\n api_key = None\n\n output = ChatOpenAI(\n max_tokens=max_tokens,\n model_kwargs=model_kwargs,\n model=model_name,\n base_url=openai_api_base,\n api_key=api_key,\n temperature=temperature,\n )\n\n return self.get_chat_result(output, stream, input_value, system_message)\n", + "value": "from typing import Optional\n\nfrom langchain_openai import ChatOpenAI\nfrom pydantic.v1 import SecretStr\n\nfrom langflow.base.constants import STREAM_INFO_TEXT\nfrom langflow.base.models.model import LCModelComponent\nfrom langflow.base.models.openai_constants import MODEL_NAMES\nfrom langflow.field_typing import NestedDict, Text\n\n\nclass OpenAIModelComponent(LCModelComponent):\n display_name = \"OpenAI\"\n description = \"Generates text using OpenAI LLMs.\"\n icon = \"OpenAI\"\n\n field_order = [\n \"max_tokens\",\n \"model_kwargs\",\n \"model_name\",\n \"openai_api_base\",\n \"openai_api_key\",\n \"temperature\",\n \"input_value\",\n \"system_message\",\n \"stream\",\n ]\n\n def build_config(self):\n return {\n \"input_value\": {\"display_name\": \"Input\"},\n \"max_tokens\": {\n \"display_name\": \"Max Tokens\",\n \"advanced\": True,\n },\n \"model_kwargs\": {\n \"display_name\": \"Model Kwargs\",\n \"advanced\": True,\n },\n \"model_name\": {\n \"display_name\": \"Model Name\",\n \"advanced\": False,\n \"options\": MODEL_NAMES,\n },\n \"openai_api_base\": {\n \"display_name\": \"OpenAI API Base\",\n \"advanced\": True,\n \"info\": (\n \"The base URL of the OpenAI API. Defaults to https://api.openai.com/v1.\\n\\n\"\n \"You can change this to use other APIs like JinaChat, LocalAI and Prem.\"\n ),\n },\n \"openai_api_key\": {\n \"display_name\": \"OpenAI API Key\",\n \"info\": \"The OpenAI API Key to use for the OpenAI model.\",\n \"advanced\": False,\n \"password\": True,\n },\n \"temperature\": {\n \"display_name\": \"Temperature\",\n \"advanced\": False,\n \"value\": 0.1,\n },\n \"stream\": {\n \"display_name\": \"Stream\",\n \"info\": STREAM_INFO_TEXT,\n \"advanced\": True,\n },\n \"system_message\": {\n \"display_name\": \"System Message\",\n \"info\": \"System message to pass to the model.\",\n \"advanced\": True,\n },\n }\n\n def build(\n self,\n input_value: Text,\n openai_api_key: str,\n temperature: float,\n model_name: str = \"gpt-4o\",\n max_tokens: Optional[int] = 256,\n model_kwargs: NestedDict = {},\n openai_api_base: Optional[str] = None,\n stream: bool = False,\n system_message: Optional[str] = None,\n ) -> Text:\n if not openai_api_base:\n openai_api_base = \"https://api.openai.com/v1\"\n if openai_api_key:\n api_key = SecretStr(openai_api_key)\n else:\n api_key = None\n\n output = ChatOpenAI(\n max_tokens=max_tokens,\n model_kwargs=model_kwargs,\n model=model_name,\n base_url=openai_api_base,\n api_key=api_key,\n temperature=temperature,\n )\n\n return self.get_chat_result(output, stream, input_value, system_message)\n", "fileTypes": [], "file_path": "", "password": false, @@ -212,7 +200,7 @@ }, "model_name": { "type": "str", - "required": true, + "required": false, "placeholder": "", "list": true, "show": true, @@ -222,14 +210,11 @@ "file_path": "", "password": false, "options": [ - "gpt-4-turbo-2024-04-09", + "gpt-4o", + "gpt-4-turbo", "gpt-4-turbo-preview", "gpt-3.5-turbo", - "gpt-4-0125-preview", - "gpt-4-1106-preview", - "gpt-4-vision-preview", - "gpt-3.5-turbo-0125", - "gpt-3.5-turbo-1106" + "gpt-3.5-turbo-0125" ], "name": "model_name", "display_name": "Model Name", @@ -238,9 +223,7 @@ "info": "", "load_from_db": false, "title_case": false, - "input_types": [ - "Text" - ] + "input_types": ["Text"] }, "openai_api_base": { "type": "str", @@ -259,9 +242,7 @@ "info": "The base URL of the OpenAI API. Defaults to https://api.openai.com/v1.\n\nYou can change this to use other APIs like JinaChat, LocalAI and Prem.", "load_from_db": false, "title_case": false, - "input_types": [ - "Text" - ] + "input_types": ["Text"] }, "openai_api_key": { "type": "str", @@ -280,9 +261,7 @@ "info": "The OpenAI API Key to use for the OpenAI model.", "load_from_db": true, "title_case": false, - "input_types": [ - "Text" - ], + "input_types": ["Text"], "value": "" }, "stream": { @@ -321,9 +300,7 @@ "info": "System message to pass to the model.", "load_from_db": false, "title_case": false, - "input_types": [ - "Text" - ] + "input_types": ["Text"] }, "temperature": { "type": "float", @@ -354,11 +331,7 @@ }, "description": "Generates text using OpenAI LLMs.", "icon": "OpenAI", - "base_classes": [ - "object", - "Text", - "str" - ], + "base_classes": ["object", "Text", "str"], "display_name": "OpenAI", "documentation": "", "custom_fields": { @@ -372,9 +345,7 @@ "stream": null, "system_message": null }, - "output_types": [ - "Text" - ], + "output_types": ["Text"], "field_formatters": {}, "frozen": false, "field_order": [ @@ -421,7 +392,7 @@ "list": false, "show": true, "multiline": true, - "value": "from typing import Optional, Union\n\nfrom langflow.base.io.chat import ChatComponent\nfrom langflow.field_typing import Text\nfrom langflow.schema import Record\n\n\nclass ChatOutput(ChatComponent):\n display_name = \"Chat Output\"\n description = \"Display a chat message in the Interaction Panel.\"\n icon = \"ChatOutput\"\n\n def build(\n self,\n sender: Optional[str] = \"Machine\",\n sender_name: Optional[str] = \"AI\",\n input_value: Optional[str] = None,\n session_id: Optional[str] = None,\n return_record: Optional[bool] = False,\n record_template: Optional[str] = \"{text}\",\n files: Optional[list[str]] = None,\n ) -> Union[Text, Record]:\n return super().build_with_record(\n sender=sender,\n sender_name=sender_name,\n input_value=input_value,\n session_id=session_id,\n return_record=return_record,\n record_template=record_template or \"\",\n files=files,\n )\n", + "value": "from typing import Optional, Union\n\nfrom langflow.base.io.chat import ChatComponent\nfrom langflow.field_typing import Text\nfrom langflow.schema import Record\n\n\nclass ChatOutput(ChatComponent):\n display_name = \"Chat Output\"\n description = \"Display a chat message in the Playground.\"\n icon = \"ChatOutput\"\n\n def build(\n self,\n sender: Optional[str] = \"Machine\",\n sender_name: Optional[str] = \"AI\",\n input_value: Optional[str] = None,\n session_id: Optional[str] = None,\n return_record: Optional[bool] = False,\n record_template: Optional[str] = \"{text}\",\n ) -> Union[Text, Record]:\n return super().build_with_record(\n sender=sender,\n sender_name=sender_name,\n input_value=input_value,\n session_id=session_id,\n return_record=return_record,\n record_template=record_template or \"\",\n )\n", "fileTypes": [], "file_path": "", "password": false, @@ -445,9 +416,7 @@ "name": "input_value", "display_name": "Message", "advanced": false, - "input_types": [ - "Text" - ], + "input_types": ["Text"], "dynamic": false, "info": "", "load_from_db": false, @@ -471,9 +440,7 @@ "info": "In case of Message being a Record, this template will be used to convert it to text.", "load_from_db": false, "title_case": false, - "input_types": [ - "Text" - ] + "input_types": ["Text"] }, "return_record": { "type": "bool", @@ -505,10 +472,7 @@ "fileTypes": [], "file_path": "", "password": false, - "options": [ - "Machine", - "User" - ], + "options": ["Machine", "User"], "name": "sender", "display_name": "Sender Type", "advanced": true, @@ -516,9 +480,7 @@ "info": "", "load_from_db": false, "title_case": false, - "input_types": [ - "Text" - ] + "input_types": ["Text"] }, "sender_name": { "type": "str", @@ -538,9 +500,7 @@ "info": "", "load_from_db": false, "title_case": false, - "input_types": [ - "Text" - ] + "input_types": ["Text"] }, "session_id": { "type": "str", @@ -559,20 +519,13 @@ "info": "If provided, the message will be stored in the memory.", "load_from_db": false, "title_case": false, - "input_types": [ - "Text" - ] + "input_types": ["Text"] }, "_type": "CustomComponent" }, - "description": "Display a chat message in the Interaction Panel.", + "description": "Display a chat message in the Playground.", "icon": "ChatOutput", - "base_classes": [ - "Record", - "Text", - "str", - "object" - ], + "base_classes": ["Record", "Text", "str", "object"], "display_name": "Chat Output", "documentation": "", "custom_fields": { @@ -583,10 +536,7 @@ "return_record": null, "record_template": null }, - "output_types": [ - "Text", - "Record" - ], + "output_types": ["Text", "Record"], "field_formatters": {}, "frozen": false, "field_order": [], @@ -621,7 +571,7 @@ "list": false, "show": true, "multiline": true, - "value": "from typing import Optional, Union\n\nfrom langflow.base.io.chat import ChatComponent\nfrom langflow.field_typing import Text\nfrom langflow.schema import Record\n\n\nclass ChatInput(ChatComponent):\n display_name = \"Chat Input\"\n description = \"Get chat inputs from the Interaction Panel.\"\n icon = \"ChatInput\"\n\n def build_config(self):\n build_config = super().build_config()\n build_config[\"input_value\"] = {\n \"input_types\": [],\n \"display_name\": \"Message\",\n \"multiline\": True,\n }\n\n return build_config\n\n def build(\n self,\n sender: Optional[str] = \"User\",\n sender_name: Optional[str] = \"User\",\n input_value: Optional[str] = None,\n files: Optional[list[str]] = None,\n session_id: Optional[str] = None,\n return_record: Optional[bool] = False,\n ) -> Union[Text, Record]:\n return super().build_no_record(\n sender=sender,\n sender_name=sender_name,\n input_value=input_value,\n files=files,\n session_id=session_id,\n return_record=return_record,\n )\n", + "value": "from typing import Optional, Union\n\nfrom langflow.base.io.chat import ChatComponent\nfrom langflow.field_typing import Text\nfrom langflow.schema import Record\n\n\nclass ChatInput(ChatComponent):\n display_name = \"Chat Input\"\n description = \"Get chat inputs from the Playground.\"\n icon = \"ChatInput\"\n\n def build_config(self):\n build_config = super().build_config()\n build_config[\"input_value\"] = {\n \"input_types\": [],\n \"display_name\": \"Message\",\n \"multiline\": True,\n }\n\n return build_config\n\n def build(\n self,\n sender: Optional[str] = \"User\",\n sender_name: Optional[str] = \"User\",\n input_value: Optional[str] = None,\n session_id: Optional[str] = None,\n return_record: Optional[bool] = False,\n ) -> Union[Text, Record]:\n return super().build_no_record(\n sender=sender,\n sender_name=sender_name,\n input_value=input_value,\n session_id=session_id,\n return_record=return_record,\n )\n", "fileTypes": [], "file_path": "", "password": false, @@ -682,10 +632,7 @@ "fileTypes": [], "file_path": "", "password": false, - "options": [ - "Machine", - "User" - ], + "options": ["Machine", "User"], "name": "sender", "display_name": "Sender Type", "advanced": true, @@ -693,9 +640,7 @@ "info": "", "load_from_db": false, "title_case": false, - "input_types": [ - "Text" - ] + "input_types": ["Text"] }, "sender_name": { "type": "str", @@ -715,9 +660,7 @@ "info": "", "load_from_db": false, "title_case": false, - "input_types": [ - "Text" - ] + "input_types": ["Text"] }, "session_id": { "type": "str", @@ -736,20 +679,13 @@ "info": "If provided, the message will be stored in the memory.", "load_from_db": false, "title_case": false, - "input_types": [ - "Text" - ] + "input_types": ["Text"] }, "_type": "CustomComponent" }, - "description": "Get chat inputs from the Interaction Panel.", + "description": "Get chat inputs from the Playground.", "icon": "ChatInput", - "base_classes": [ - "object", - "Record", - "str", - "Text" - ], + "base_classes": ["object", "Record", "str", "Text"], "display_name": "Chat Input", "documentation": "", "custom_fields": { @@ -759,10 +695,7 @@ "session_id": null, "return_record": null }, - "output_types": [ - "Text", - "Record" - ], + "output_types": ["Text", "Record"], "field_formatters": {}, "frozen": false, "field_order": [], @@ -790,17 +723,11 @@ "targetHandle": { "fieldName": "input_value", "id": "ChatOutput-njtka", - "inputTypes": [ - "Text" - ], + "inputTypes": ["Text"], "type": "str" }, "sourceHandle": { - "baseClasses": [ - "object", - "Text", - "str" - ], + "baseClasses": ["object", "Text", "str"], "dataType": "OpenAIModel", "id": "OpenAIModel-k39HS" } @@ -820,17 +747,11 @@ "targetHandle": { "fieldName": "input_value", "id": "OpenAIModel-k39HS", - "inputTypes": [ - "Text" - ], + "inputTypes": ["Text"], "type": "str" }, "sourceHandle": { - "baseClasses": [ - "object", - "str", - "Text" - ], + "baseClasses": ["object", "str", "Text"], "dataType": "Prompt", "id": "Prompt-uxBqP" } @@ -850,21 +771,11 @@ "targetHandle": { "fieldName": "user_input", "id": "Prompt-uxBqP", - "inputTypes": [ - "Document", - "BaseOutputParser", - "Record", - "Text" - ], + "inputTypes": ["Document", "BaseOutputParser", "Record", "Text"], "type": "str" }, "sourceHandle": { - "baseClasses": [ - "object", - "Record", - "str", - "Text" - ], + "baseClasses": ["object", "Record", "str", "Text"], "dataType": "ChatInput", "id": "ChatInput-P3fgL" } @@ -886,4 +797,4 @@ "name": "Basic Prompting (Hello, World)", "last_tested_version": "1.0.0a4", "is_component": false -} \ No newline at end of file +} diff --git a/src/backend/base/langflow/initial_setup/starter_projects/Langflow Blog Writter.json b/src/backend/base/langflow/initial_setup/starter_projects/Langflow Blog Writter.json index 454aeb843..d2e4986ab 100644 --- a/src/backend/base/langflow/initial_setup/starter_projects/Langflow Blog Writter.json +++ b/src/backend/base/langflow/initial_setup/starter_projects/Langflow Blog Writter.json @@ -45,9 +45,7 @@ "name": "template", "display_name": "Template", "advanced": false, - "input_types": [ - "Text" - ], + "input_types": ["Text"], "dynamic": false, "info": "", "load_from_db": false, @@ -138,24 +136,14 @@ "is_input": null, "is_output": null, "is_composition": null, - "base_classes": [ - "object", - "Text", - "str" - ], + "base_classes": ["object", "Text", "str"], "name": "", "display_name": "Prompt", "documentation": "", "custom_fields": { - "template": [ - "reference_1", - "reference_2", - "instructions" - ] + "template": ["reference_1", "reference_2", "instructions"] }, - "output_types": [ - "Text" - ], + "output_types": ["Text"], "full_path": null, "field_formatters": {}, "frozen": false, @@ -222,9 +210,7 @@ "info": "", "load_from_db": false, "title_case": false, - "input_types": [ - "Text" - ], + "input_types": ["Text"], "value": [ "https://www.promptingguide.ai/techniques/prompt_chaining" ] @@ -233,17 +219,13 @@ }, "description": "Fetch content from one or more URLs.", "icon": "layout-template", - "base_classes": [ - "Record" - ], + "base_classes": ["Record"], "display_name": "URL", "documentation": "", "custom_fields": { "urls": null }, - "output_types": [ - "Record" - ], + "output_types": ["Record"], "field_formatters": {}, "frozen": false, "field_order": [], @@ -278,7 +260,7 @@ "list": false, "show": true, "multiline": true, - "value": "from typing import Optional, Union\n\nfrom langflow.base.io.chat import ChatComponent\nfrom langflow.field_typing import Text\nfrom langflow.schema import Record\n\n\nclass ChatOutput(ChatComponent):\n display_name = \"Chat Output\"\n description = \"Display a chat message in the Interaction Panel.\"\n icon = \"ChatOutput\"\n\n def build(\n self,\n sender: Optional[str] = \"Machine\",\n sender_name: Optional[str] = \"AI\",\n input_value: Optional[str] = None,\n session_id: Optional[str] = None,\n return_record: Optional[bool] = False,\n record_template: Optional[str] = \"{text}\",\n files: Optional[list[str]] = None,\n ) -> Union[Text, Record]:\n return super().build_with_record(\n sender=sender,\n sender_name=sender_name,\n input_value=input_value,\n session_id=session_id,\n return_record=return_record,\n record_template=record_template or \"\",\n files=files,\n )\n", + "value": "from typing import Optional, Union\n\nfrom langflow.base.io.chat import ChatComponent\nfrom langflow.field_typing import Text\nfrom langflow.schema import Record\n\n\nclass ChatOutput(ChatComponent):\n display_name = \"Chat Output\"\n description = \"Display a chat message in the Playground.\"\n icon = \"ChatOutput\"\n\n def build(\n self,\n sender: Optional[str] = \"Machine\",\n sender_name: Optional[str] = \"AI\",\n input_value: Optional[str] = None,\n session_id: Optional[str] = None,\n return_record: Optional[bool] = False,\n record_template: Optional[str] = \"{text}\",\n ) -> Union[Text, Record]:\n return super().build_with_record(\n sender=sender,\n sender_name=sender_name,\n input_value=input_value,\n session_id=session_id,\n return_record=return_record,\n record_template=record_template or \"\",\n )\n", "fileTypes": [], "file_path": "", "password": false, @@ -302,9 +284,7 @@ "name": "input_value", "display_name": "Message", "advanced": false, - "input_types": [ - "Text" - ], + "input_types": ["Text"], "dynamic": false, "info": "", "load_from_db": false, @@ -328,9 +308,7 @@ "info": "In case of Message being a Record, this template will be used to convert it to text.", "load_from_db": false, "title_case": false, - "input_types": [ - "Text" - ] + "input_types": ["Text"] }, "return_record": { "type": "bool", @@ -362,10 +340,7 @@ "fileTypes": [], "file_path": "", "password": false, - "options": [ - "Machine", - "User" - ], + "options": ["Machine", "User"], "name": "sender", "display_name": "Sender Type", "advanced": true, @@ -373,9 +348,7 @@ "info": "", "load_from_db": false, "title_case": false, - "input_types": [ - "Text" - ] + "input_types": ["Text"] }, "sender_name": { "type": "str", @@ -395,9 +368,7 @@ "info": "", "load_from_db": false, "title_case": false, - "input_types": [ - "Text" - ] + "input_types": ["Text"] }, "session_id": { "type": "str", @@ -416,20 +387,13 @@ "info": "If provided, the message will be stored in the memory.", "load_from_db": false, "title_case": false, - "input_types": [ - "Text" - ] + "input_types": ["Text"] }, "_type": "CustomComponent" }, - "description": "Display a chat message in the Interaction Panel.", + "description": "Display a chat message in the Playground.", "icon": "ChatOutput", - "base_classes": [ - "Text", - "Record", - "object", - "str" - ], + "base_classes": ["Text", "Record", "object", "str"], "display_name": "Chat Output", "documentation": "", "custom_fields": { @@ -440,10 +404,7 @@ "return_record": null, "record_template": null }, - "output_types": [ - "Text", - "Record" - ], + "output_types": ["Text", "Record"], "field_formatters": {}, "frozen": false, "field_order": [], @@ -483,9 +444,7 @@ "info": "", "load_from_db": false, "title_case": false, - "input_types": [ - "Text" - ] + "input_types": ["Text"] }, "code": { "type": "code", @@ -494,7 +453,7 @@ "list": false, "show": true, "multiline": true, - "value": "from typing import Optional\n\nfrom langchain_openai import ChatOpenAI\nfrom pydantic.v1 import SecretStr\n\nfrom langflow.base.constants import STREAM_INFO_TEXT\nfrom langflow.base.models.model import LCModelComponent\nfrom langflow.field_typing import NestedDict, Text\n\n\nclass OpenAIModelComponent(LCModelComponent):\n display_name = \"OpenAI\"\n description = \"Generates text using OpenAI LLMs.\"\n icon = \"OpenAI\"\n\n field_order = [\n \"max_tokens\",\n \"model_kwargs\",\n \"model_name\",\n \"openai_api_base\",\n \"openai_api_key\",\n \"temperature\",\n \"input_value\",\n \"system_message\",\n \"stream\",\n ]\n\n def build_config(self):\n return {\n \"input_value\": {\"display_name\": \"Input\"},\n \"max_tokens\": {\n \"display_name\": \"Max Tokens\",\n \"advanced\": True,\n },\n \"model_kwargs\": {\n \"display_name\": \"Model Kwargs\",\n \"advanced\": True,\n },\n \"model_name\": {\n \"display_name\": \"Model Name\",\n \"advanced\": False,\n \"options\": [\n \"gpt-4-turbo-2024-04-09\",\n \"gpt-4-turbo-preview\",\n \"gpt-3.5-turbo\",\n \"gpt-4-0125-preview\",\n \"gpt-4-1106-preview\",\n \"gpt-4-vision-preview\",\n \"gpt-3.5-turbo-0125\",\n \"gpt-3.5-turbo-1106\",\n ],\n \"value\": \"gpt-4-turbo-preview\",\n },\n \"openai_api_base\": {\n \"display_name\": \"OpenAI API Base\",\n \"advanced\": True,\n \"info\": (\n \"The base URL of the OpenAI API. Defaults to https://api.openai.com/v1.\\n\\n\"\n \"You can change this to use other APIs like JinaChat, LocalAI and Prem.\"\n ),\n },\n \"openai_api_key\": {\n \"display_name\": \"OpenAI API Key\",\n \"info\": \"The OpenAI API Key to use for the OpenAI model.\",\n \"advanced\": False,\n \"password\": True,\n },\n \"temperature\": {\n \"display_name\": \"Temperature\",\n \"advanced\": False,\n \"value\": 0.1,\n },\n \"stream\": {\n \"display_name\": \"Stream\",\n \"info\": STREAM_INFO_TEXT,\n \"advanced\": True,\n },\n \"system_message\": {\n \"display_name\": \"System Message\",\n \"info\": \"System message to pass to the model.\",\n \"advanced\": True,\n },\n }\n\n def build(\n self,\n input_value: Text,\n openai_api_key: str,\n temperature: float,\n model_name: str,\n max_tokens: Optional[int] = 256,\n model_kwargs: NestedDict = {},\n openai_api_base: Optional[str] = None,\n stream: bool = False,\n system_message: Optional[str] = None,\n ) -> Text:\n if not openai_api_base:\n openai_api_base = \"https://api.openai.com/v1\"\n if openai_api_key:\n api_key = SecretStr(openai_api_key)\n else:\n api_key = None\n\n output = ChatOpenAI(\n max_tokens=max_tokens,\n model_kwargs=model_kwargs,\n model=model_name,\n base_url=openai_api_base,\n api_key=api_key,\n temperature=temperature,\n )\n\n return self.get_chat_result(output, stream, input_value, system_message)\n", + "value": "from typing import Optional\n\nfrom langchain_openai import ChatOpenAI\nfrom pydantic.v1 import SecretStr\n\nfrom langflow.base.constants import STREAM_INFO_TEXT\nfrom langflow.base.models.model import LCModelComponent\nfrom langflow.base.models.openai_constants import MODEL_NAMES\nfrom langflow.field_typing import NestedDict, Text\n\n\nclass OpenAIModelComponent(LCModelComponent):\n display_name = \"OpenAI\"\n description = \"Generates text using OpenAI LLMs.\"\n icon = \"OpenAI\"\n\n field_order = [\n \"max_tokens\",\n \"model_kwargs\",\n \"model_name\",\n \"openai_api_base\",\n \"openai_api_key\",\n \"temperature\",\n \"input_value\",\n \"system_message\",\n \"stream\",\n ]\n\n def build_config(self):\n return {\n \"input_value\": {\"display_name\": \"Input\"},\n \"max_tokens\": {\n \"display_name\": \"Max Tokens\",\n \"advanced\": True,\n },\n \"model_kwargs\": {\n \"display_name\": \"Model Kwargs\",\n \"advanced\": True,\n },\n \"model_name\": {\n \"display_name\": \"Model Name\",\n \"advanced\": False,\n \"options\": MODEL_NAMES,\n },\n \"openai_api_base\": {\n \"display_name\": \"OpenAI API Base\",\n \"advanced\": True,\n \"info\": (\n \"The base URL of the OpenAI API. Defaults to https://api.openai.com/v1.\\n\\n\"\n \"You can change this to use other APIs like JinaChat, LocalAI and Prem.\"\n ),\n },\n \"openai_api_key\": {\n \"display_name\": \"OpenAI API Key\",\n \"info\": \"The OpenAI API Key to use for the OpenAI model.\",\n \"advanced\": False,\n \"password\": True,\n },\n \"temperature\": {\n \"display_name\": \"Temperature\",\n \"advanced\": False,\n \"value\": 0.1,\n },\n \"stream\": {\n \"display_name\": \"Stream\",\n \"info\": STREAM_INFO_TEXT,\n \"advanced\": True,\n },\n \"system_message\": {\n \"display_name\": \"System Message\",\n \"info\": \"System message to pass to the model.\",\n \"advanced\": True,\n },\n }\n\n def build(\n self,\n input_value: Text,\n openai_api_key: str,\n temperature: float,\n model_name: str = \"gpt-4o\",\n max_tokens: Optional[int] = 256,\n model_kwargs: NestedDict = {},\n openai_api_base: Optional[str] = None,\n stream: bool = False,\n system_message: Optional[str] = None,\n ) -> Text:\n if not openai_api_base:\n openai_api_base = \"https://api.openai.com/v1\"\n if openai_api_key:\n api_key = SecretStr(openai_api_key)\n else:\n api_key = None\n\n output = ChatOpenAI(\n max_tokens=max_tokens,\n model_kwargs=model_kwargs,\n model=model_name,\n base_url=openai_api_base,\n api_key=api_key,\n temperature=temperature,\n )\n\n return self.get_chat_result(output, stream, input_value, system_message)\n", "fileTypes": [], "file_path": "", "password": false, @@ -545,7 +504,7 @@ }, "model_name": { "type": "str", - "required": true, + "required": false, "placeholder": "", "list": true, "show": true, @@ -555,14 +514,11 @@ "file_path": "", "password": false, "options": [ - "gpt-4-turbo-2024-04-09", + "gpt-4o", + "gpt-4-turbo", "gpt-4-turbo-preview", "gpt-3.5-turbo", - "gpt-4-0125-preview", - "gpt-4-1106-preview", - "gpt-4-vision-preview", - "gpt-3.5-turbo-0125", - "gpt-3.5-turbo-1106" + "gpt-3.5-turbo-0125" ], "name": "model_name", "display_name": "Model Name", @@ -571,9 +527,7 @@ "info": "", "load_from_db": false, "title_case": false, - "input_types": [ - "Text" - ] + "input_types": ["Text"] }, "openai_api_base": { "type": "str", @@ -592,9 +546,7 @@ "info": "The base URL of the OpenAI API. Defaults to https://api.openai.com/v1.\n\nYou can change this to use other APIs like JinaChat, LocalAI and Prem.", "load_from_db": false, "title_case": false, - "input_types": [ - "Text" - ] + "input_types": ["Text"] }, "openai_api_key": { "type": "str", @@ -613,9 +565,7 @@ "info": "The OpenAI API Key to use for the OpenAI model.", "load_from_db": false, "title_case": false, - "input_types": [ - "Text" - ], + "input_types": ["Text"], "value": "" }, "stream": { @@ -654,9 +604,7 @@ "info": "System message to pass to the model.", "load_from_db": false, "title_case": false, - "input_types": [ - "Text" - ] + "input_types": ["Text"] }, "temperature": { "type": "float", @@ -687,11 +635,7 @@ }, "description": "Generates text using OpenAI LLMs.", "icon": "OpenAI", - "base_classes": [ - "str", - "Text", - "object" - ], + "base_classes": ["str", "Text", "object"], "display_name": "OpenAI", "documentation": "", "custom_fields": { @@ -705,9 +649,7 @@ "stream": null, "system_message": null }, - "output_types": [ - "Text" - ], + "output_types": ["Text"], "field_formatters": {}, "frozen": false, "field_order": [ @@ -780,28 +722,20 @@ "info": "", "load_from_db": false, "title_case": false, - "input_types": [ - "Text" - ], - "value": [ - "https://www.promptingguide.ai/introduction/basics" - ] + "input_types": ["Text"], + "value": ["https://www.promptingguide.ai/introduction/basics"] }, "_type": "CustomComponent" }, "description": "Fetch content from one or more URLs.", "icon": "layout-template", - "base_classes": [ - "Record" - ], + "base_classes": ["Record"], "display_name": "URL", "documentation": "", "custom_fields": { "urls": null }, - "output_types": [ - "Record" - ], + "output_types": ["Record"], "field_formatters": {}, "frozen": false, "field_order": [], @@ -836,7 +770,7 @@ "list": false, "show": true, "multiline": true, - "value": "from typing import Optional\n\nfrom langflow.base.io.text import TextComponent\nfrom langflow.field_typing import Text\n\n\nclass TextInput(TextComponent):\n display_name = \"Text Input\"\n description = \"Get text inputs from the Interaction Panel.\"\n icon = \"type\"\n\n def build_config(self):\n return {\n \"input_value\": {\n \"display_name\": \"Value\",\n \"input_types\": [\"Record\", \"Text\"],\n \"info\": \"Text or Record to be passed as input.\",\n },\n \"record_template\": {\n \"display_name\": \"Record Template\",\n \"multiline\": True,\n \"info\": \"Template to convert Record to Text. If left empty, it will be dynamically set to the Record's text key.\",\n \"advanced\": True,\n },\n }\n\n def build(\n self,\n input_value: Optional[str] = \"\",\n record_template: Optional[str] = \"\",\n ) -> Text:\n return super().build(input_value=input_value, record_template=record_template)\n", + "value": "from typing import Optional\n\nfrom langflow.base.io.text import TextComponent\nfrom langflow.field_typing import Text\n\n\nclass TextInput(TextComponent):\n display_name = \"Text Input\"\n description = \"Get text inputs from the Playground.\"\n icon = \"type\"\n\n def build_config(self):\n return {\n \"input_value\": {\n \"display_name\": \"Value\",\n \"input_types\": [\"Record\", \"Text\"],\n \"info\": \"Text or Record to be passed as input.\",\n },\n \"record_template\": {\n \"display_name\": \"Record Template\",\n \"multiline\": True,\n \"info\": \"Template to convert Record to Text. If left empty, it will be dynamically set to the Record's text key.\",\n \"advanced\": True,\n },\n }\n\n def build(\n self,\n input_value: Optional[str] = \"\",\n record_template: Optional[str] = \"\",\n ) -> Text:\n return super().build(input_value=input_value, record_template=record_template)\n", "fileTypes": [], "file_path": "", "password": false, @@ -861,10 +795,7 @@ "name": "input_value", "display_name": "Value", "advanced": false, - "input_types": [ - "Record", - "Text" - ], + "input_types": ["Record", "Text"], "dynamic": false, "info": "Text or Record to be passed as input.", "load_from_db": false, @@ -888,28 +819,20 @@ "info": "Template to convert Record to Text. If left empty, it will be dynamically set to the Record's text key.", "load_from_db": false, "title_case": false, - "input_types": [ - "Text" - ] + "input_types": ["Text"] }, "_type": "CustomComponent" }, - "description": "Get text inputs from the Interaction Panel.", + "description": "Get text inputs from the Playground.", "icon": "type", - "base_classes": [ - "object", - "Text", - "str" - ], + "base_classes": ["object", "Text", "str"], "display_name": "Instructions", "documentation": "", "custom_fields": { "input_value": null, "record_template": null }, - "output_types": [ - "Text" - ], + "output_types": ["Text"], "field_formatters": {}, "frozen": false, "field_order": [], @@ -938,18 +861,11 @@ "targetHandle": { "fieldName": "reference_2", "id": "Prompt-Rse03", - "inputTypes": [ - "Document", - "BaseOutputParser", - "Record", - "Text" - ], + "inputTypes": ["Document", "BaseOutputParser", "Record", "Text"], "type": "str" }, "sourceHandle": { - "baseClasses": [ - "Record" - ], + "baseClasses": ["Record"], "dataType": "URL", "id": "URL-HYPkR" } @@ -969,17 +885,11 @@ "targetHandle": { "fieldName": "input_value", "id": "ChatOutput-JPlxl", - "inputTypes": [ - "Text" - ], + "inputTypes": ["Text"], "type": "str" }, "sourceHandle": { - "baseClasses": [ - "str", - "Text", - "object" - ], + "baseClasses": ["str", "Text", "object"], "dataType": "OpenAIModel", "id": "OpenAIModel-gi29P" } @@ -999,18 +909,11 @@ "targetHandle": { "fieldName": "reference_1", "id": "Prompt-Rse03", - "inputTypes": [ - "Document", - "BaseOutputParser", - "Record", - "Text" - ], + "inputTypes": ["Document", "BaseOutputParser", "Record", "Text"], "type": "str" }, "sourceHandle": { - "baseClasses": [ - "Record" - ], + "baseClasses": ["Record"], "dataType": "URL", "id": "URL-2cX90" } @@ -1030,20 +933,11 @@ "targetHandle": { "fieldName": "instructions", "id": "Prompt-Rse03", - "inputTypes": [ - "Document", - "BaseOutputParser", - "Record", - "Text" - ], + "inputTypes": ["Document", "BaseOutputParser", "Record", "Text"], "type": "str" }, "sourceHandle": { - "baseClasses": [ - "object", - "Text", - "str" - ], + "baseClasses": ["object", "Text", "str"], "dataType": "TextInput", "id": "TextInput-og8Or" } @@ -1063,17 +957,11 @@ "targetHandle": { "fieldName": "input_value", "id": "OpenAIModel-gi29P", - "inputTypes": [ - "Text" - ], + "inputTypes": ["Text"], "type": "str" }, "sourceHandle": { - "baseClasses": [ - "object", - "Text", - "str" - ], + "baseClasses": ["object", "Text", "str"], "dataType": "Prompt", "id": "Prompt-Rse03" } @@ -1096,4 +984,4 @@ "name": "Blog Writer", "last_tested_version": "1.0.0a0", "is_component": false -} \ No newline at end of file +} diff --git a/src/backend/base/langflow/initial_setup/starter_projects/Langflow Document QA.json b/src/backend/base/langflow/initial_setup/starter_projects/Langflow Document QA.json index 3c7356ff6..cde05c847 100644 --- a/src/backend/base/langflow/initial_setup/starter_projects/Langflow Document QA.json +++ b/src/backend/base/langflow/initial_setup/starter_projects/Langflow Document QA.json @@ -45,9 +45,7 @@ "name": "template", "display_name": "Template", "advanced": false, - "input_types": [ - "Text" - ], + "input_types": ["Text"], "dynamic": false, "info": "", "load_from_db": false, @@ -112,23 +110,14 @@ "is_input": null, "is_output": null, "is_composition": null, - "base_classes": [ - "object", - "str", - "Text" - ], + "base_classes": ["object", "str", "Text"], "name": "", "display_name": "Prompt", "documentation": "", "custom_fields": { - "template": [ - "Document", - "Question" - ] + "template": ["Document", "Question"] }, - "output_types": [ - "Text" - ], + "output_types": ["Text"], "full_path": null, "field_formatters": {}, "frozen": false, @@ -231,18 +220,14 @@ "_type": "CustomComponent" }, "description": "A generic file loader.", - "base_classes": [ - "Record" - ], + "base_classes": ["Record"], "display_name": "Files", "documentation": "", "custom_fields": { "path": null, "silent_errors": null }, - "output_types": [ - "Record" - ], + "output_types": ["Record"], "field_formatters": {}, "frozen": false, "field_order": [], @@ -277,7 +262,7 @@ "list": false, "show": true, "multiline": true, - "value": "from typing import Optional, Union\n\nfrom langflow.base.io.chat import ChatComponent\nfrom langflow.field_typing import Text\nfrom langflow.schema import Record\n\n\nclass ChatInput(ChatComponent):\n display_name = \"Chat Input\"\n description = \"Get chat inputs from the Interaction Panel.\"\n icon = \"ChatInput\"\n\n def build_config(self):\n build_config = super().build_config()\n build_config[\"input_value\"] = {\n \"input_types\": [],\n \"display_name\": \"Message\",\n \"multiline\": True,\n }\n\n return build_config\n\n def build(\n self,\n sender: Optional[str] = \"User\",\n sender_name: Optional[str] = \"User\",\n input_value: Optional[str] = None,\n files: Optional[list[str]] = None,\n session_id: Optional[str] = None,\n return_record: Optional[bool] = False,\n ) -> Union[Text, Record]:\n return super().build_no_record(\n sender=sender,\n sender_name=sender_name,\n input_value=input_value,\n files=files,\n session_id=session_id,\n return_record=return_record,\n )\n", + "value": "from typing import Optional, Union\n\nfrom langflow.base.io.chat import ChatComponent\nfrom langflow.field_typing import Text\nfrom langflow.schema import Record\n\n\nclass ChatInput(ChatComponent):\n display_name = \"Chat Input\"\n description = \"Get chat inputs from the Playground.\"\n icon = \"ChatInput\"\n\n def build_config(self):\n build_config = super().build_config()\n build_config[\"input_value\"] = {\n \"input_types\": [],\n \"display_name\": \"Message\",\n \"multiline\": True,\n }\n\n return build_config\n\n def build(\n self,\n sender: Optional[str] = \"User\",\n sender_name: Optional[str] = \"User\",\n input_value: Optional[str] = None,\n session_id: Optional[str] = None,\n return_record: Optional[bool] = False,\n ) -> Union[Text, Record]:\n return super().build_no_record(\n sender=sender,\n sender_name=sender_name,\n input_value=input_value,\n session_id=session_id,\n return_record=return_record,\n )\n", "fileTypes": [], "file_path": "", "password": false, @@ -338,10 +323,7 @@ "fileTypes": [], "file_path": "", "password": false, - "options": [ - "Machine", - "User" - ], + "options": ["Machine", "User"], "name": "sender", "display_name": "Sender Type", "advanced": true, @@ -349,9 +331,7 @@ "info": "", "load_from_db": false, "title_case": false, - "input_types": [ - "Text" - ] + "input_types": ["Text"] }, "sender_name": { "type": "str", @@ -371,9 +351,7 @@ "info": "", "load_from_db": false, "title_case": false, - "input_types": [ - "Text" - ] + "input_types": ["Text"] }, "session_id": { "type": "str", @@ -392,20 +370,13 @@ "info": "If provided, the message will be stored in the memory.", "load_from_db": false, "title_case": false, - "input_types": [ - "Text" - ] + "input_types": ["Text"] }, "_type": "CustomComponent" }, - "description": "Get chat inputs from the Interaction Panel.", + "description": "Get chat inputs from the Playground.", "icon": "ChatInput", - "base_classes": [ - "str", - "Record", - "Text", - "object" - ], + "base_classes": ["str", "Record", "Text", "object"], "display_name": "Chat Input", "documentation": "", "custom_fields": { @@ -415,10 +386,7 @@ "session_id": null, "return_record": null }, - "output_types": [ - "Text", - "Record" - ], + "output_types": ["Text", "Record"], "field_formatters": {}, "frozen": false, "field_order": [], @@ -453,7 +421,7 @@ "list": false, "show": true, "multiline": true, - "value": "from typing import Optional, Union\n\nfrom langflow.base.io.chat import ChatComponent\nfrom langflow.field_typing import Text\nfrom langflow.schema import Record\n\n\nclass ChatOutput(ChatComponent):\n display_name = \"Chat Output\"\n description = \"Display a chat message in the Interaction Panel.\"\n icon = \"ChatOutput\"\n\n def build(\n self,\n sender: Optional[str] = \"Machine\",\n sender_name: Optional[str] = \"AI\",\n input_value: Optional[str] = None,\n session_id: Optional[str] = None,\n return_record: Optional[bool] = False,\n record_template: Optional[str] = \"{text}\",\n files: Optional[list[str]] = None,\n ) -> Union[Text, Record]:\n return super().build_with_record(\n sender=sender,\n sender_name=sender_name,\n input_value=input_value,\n session_id=session_id,\n return_record=return_record,\n record_template=record_template or \"\",\n files=files,\n )\n", + "value": "from typing import Optional, Union\n\nfrom langflow.base.io.chat import ChatComponent\nfrom langflow.field_typing import Text\nfrom langflow.schema import Record\n\n\nclass ChatOutput(ChatComponent):\n display_name = \"Chat Output\"\n description = \"Display a chat message in the Playground.\"\n icon = \"ChatOutput\"\n\n def build(\n self,\n sender: Optional[str] = \"Machine\",\n sender_name: Optional[str] = \"AI\",\n input_value: Optional[str] = None,\n session_id: Optional[str] = None,\n return_record: Optional[bool] = False,\n record_template: Optional[str] = \"{text}\",\n ) -> Union[Text, Record]:\n return super().build_with_record(\n sender=sender,\n sender_name=sender_name,\n input_value=input_value,\n session_id=session_id,\n return_record=return_record,\n record_template=record_template or \"\",\n )\n", "fileTypes": [], "file_path": "", "password": false, @@ -477,9 +445,7 @@ "name": "input_value", "display_name": "Message", "advanced": false, - "input_types": [ - "Text" - ], + "input_types": ["Text"], "dynamic": false, "info": "", "load_from_db": false, @@ -515,10 +481,7 @@ "fileTypes": [], "file_path": "", "password": false, - "options": [ - "Machine", - "User" - ], + "options": ["Machine", "User"], "name": "sender", "display_name": "Sender Type", "advanced": true, @@ -526,9 +489,7 @@ "info": "", "load_from_db": false, "title_case": false, - "input_types": [ - "Text" - ] + "input_types": ["Text"] }, "sender_name": { "type": "str", @@ -548,9 +509,7 @@ "info": "", "load_from_db": false, "title_case": false, - "input_types": [ - "Text" - ] + "input_types": ["Text"] }, "session_id": { "type": "str", @@ -569,20 +528,13 @@ "info": "If provided, the message will be stored in the memory.", "load_from_db": false, "title_case": false, - "input_types": [ - "Text" - ] + "input_types": ["Text"] }, "_type": "CustomComponent" }, - "description": "Display a chat message in the Interaction Panel.", + "description": "Display a chat message in the Playground.", "icon": "ChatOutput", - "base_classes": [ - "str", - "Record", - "Text", - "object" - ], + "base_classes": ["str", "Record", "Text", "object"], "display_name": "Chat Output", "documentation": "", "custom_fields": { @@ -592,10 +544,7 @@ "session_id": null, "return_record": null }, - "output_types": [ - "Text", - "Record" - ], + "output_types": ["Text", "Record"], "field_formatters": {}, "frozen": false, "field_order": [], @@ -640,9 +589,7 @@ "info": "", "load_from_db": false, "title_case": false, - "input_types": [ - "Text" - ] + "input_types": ["Text"] }, "code": { "type": "code", @@ -651,7 +598,7 @@ "list": false, "show": true, "multiline": true, - "value": "from typing import Optional\n\nfrom langchain_openai import ChatOpenAI\nfrom pydantic.v1 import SecretStr\n\nfrom langflow.base.constants import STREAM_INFO_TEXT\nfrom langflow.base.models.model import LCModelComponent\nfrom langflow.field_typing import NestedDict, Text\n\n\nclass OpenAIModelComponent(LCModelComponent):\n display_name = \"OpenAI\"\n description = \"Generates text using OpenAI LLMs.\"\n icon = \"OpenAI\"\n\n field_order = [\n \"max_tokens\",\n \"model_kwargs\",\n \"model_name\",\n \"openai_api_base\",\n \"openai_api_key\",\n \"temperature\",\n \"input_value\",\n \"system_message\",\n \"stream\",\n ]\n\n def build_config(self):\n return {\n \"input_value\": {\"display_name\": \"Input\"},\n \"max_tokens\": {\n \"display_name\": \"Max Tokens\",\n \"advanced\": True,\n },\n \"model_kwargs\": {\n \"display_name\": \"Model Kwargs\",\n \"advanced\": True,\n },\n \"model_name\": {\n \"display_name\": \"Model Name\",\n \"advanced\": False,\n \"options\": [\n \"gpt-4-turbo-2024-04-09\",\n \"gpt-4-turbo-preview\",\n \"gpt-3.5-turbo\",\n \"gpt-4-0125-preview\",\n \"gpt-4-1106-preview\",\n \"gpt-4-vision-preview\",\n \"gpt-3.5-turbo-0125\",\n \"gpt-3.5-turbo-1106\",\n ],\n \"value\": \"gpt-4-turbo-preview\",\n },\n \"openai_api_base\": {\n \"display_name\": \"OpenAI API Base\",\n \"advanced\": True,\n \"info\": (\n \"The base URL of the OpenAI API. Defaults to https://api.openai.com/v1.\\n\\n\"\n \"You can change this to use other APIs like JinaChat, LocalAI and Prem.\"\n ),\n },\n \"openai_api_key\": {\n \"display_name\": \"OpenAI API Key\",\n \"info\": \"The OpenAI API Key to use for the OpenAI model.\",\n \"advanced\": False,\n \"password\": True,\n },\n \"temperature\": {\n \"display_name\": \"Temperature\",\n \"advanced\": False,\n \"value\": 0.1,\n },\n \"stream\": {\n \"display_name\": \"Stream\",\n \"info\": STREAM_INFO_TEXT,\n \"advanced\": True,\n },\n \"system_message\": {\n \"display_name\": \"System Message\",\n \"info\": \"System message to pass to the model.\",\n \"advanced\": True,\n },\n }\n\n def build(\n self,\n input_value: Text,\n openai_api_key: str,\n temperature: float,\n model_name: str,\n max_tokens: Optional[int] = 256,\n model_kwargs: NestedDict = {},\n openai_api_base: Optional[str] = None,\n stream: bool = False,\n system_message: Optional[str] = None,\n ) -> Text:\n if not openai_api_base:\n openai_api_base = \"https://api.openai.com/v1\"\n if openai_api_key:\n api_key = SecretStr(openai_api_key)\n else:\n api_key = None\n\n output = ChatOpenAI(\n max_tokens=max_tokens,\n model_kwargs=model_kwargs,\n model=model_name,\n base_url=openai_api_base,\n api_key=api_key,\n temperature=temperature,\n )\n\n return self.get_chat_result(output, stream, input_value, system_message)\n", + "value": "from typing import Optional\n\nfrom langchain_openai import ChatOpenAI\nfrom pydantic.v1 import SecretStr\n\nfrom langflow.base.constants import STREAM_INFO_TEXT\nfrom langflow.base.models.model import LCModelComponent\nfrom langflow.base.models.openai_constants import MODEL_NAMES\nfrom langflow.field_typing import NestedDict, Text\n\n\nclass OpenAIModelComponent(LCModelComponent):\n display_name = \"OpenAI\"\n description = \"Generates text using OpenAI LLMs.\"\n icon = \"OpenAI\"\n\n field_order = [\n \"max_tokens\",\n \"model_kwargs\",\n \"model_name\",\n \"openai_api_base\",\n \"openai_api_key\",\n \"temperature\",\n \"input_value\",\n \"system_message\",\n \"stream\",\n ]\n\n def build_config(self):\n return {\n \"input_value\": {\"display_name\": \"Input\"},\n \"max_tokens\": {\n \"display_name\": \"Max Tokens\",\n \"advanced\": True,\n },\n \"model_kwargs\": {\n \"display_name\": \"Model Kwargs\",\n \"advanced\": True,\n },\n \"model_name\": {\n \"display_name\": \"Model Name\",\n \"advanced\": False,\n \"options\": MODEL_NAMES,\n },\n \"openai_api_base\": {\n \"display_name\": \"OpenAI API Base\",\n \"advanced\": True,\n \"info\": (\n \"The base URL of the OpenAI API. Defaults to https://api.openai.com/v1.\\n\\n\"\n \"You can change this to use other APIs like JinaChat, LocalAI and Prem.\"\n ),\n },\n \"openai_api_key\": {\n \"display_name\": \"OpenAI API Key\",\n \"info\": \"The OpenAI API Key to use for the OpenAI model.\",\n \"advanced\": False,\n \"password\": True,\n },\n \"temperature\": {\n \"display_name\": \"Temperature\",\n \"advanced\": False,\n \"value\": 0.1,\n },\n \"stream\": {\n \"display_name\": \"Stream\",\n \"info\": STREAM_INFO_TEXT,\n \"advanced\": True,\n },\n \"system_message\": {\n \"display_name\": \"System Message\",\n \"info\": \"System message to pass to the model.\",\n \"advanced\": True,\n },\n }\n\n def build(\n self,\n input_value: Text,\n openai_api_key: str,\n temperature: float,\n model_name: str = \"gpt-4o\",\n max_tokens: Optional[int] = 256,\n model_kwargs: NestedDict = {},\n openai_api_base: Optional[str] = None,\n stream: bool = False,\n system_message: Optional[str] = None,\n ) -> Text:\n if not openai_api_base:\n openai_api_base = \"https://api.openai.com/v1\"\n if openai_api_key:\n api_key = SecretStr(openai_api_key)\n else:\n api_key = None\n\n output = ChatOpenAI(\n max_tokens=max_tokens,\n model_kwargs=model_kwargs,\n model=model_name,\n base_url=openai_api_base,\n api_key=api_key,\n temperature=temperature,\n )\n\n return self.get_chat_result(output, stream, input_value, system_message)\n", "fileTypes": [], "file_path": "", "password": false, @@ -702,7 +649,7 @@ }, "model_name": { "type": "str", - "required": true, + "required": false, "placeholder": "", "list": true, "show": true, @@ -712,14 +659,11 @@ "file_path": "", "password": false, "options": [ - "gpt-4-turbo-2024-04-09", + "gpt-4o", + "gpt-4-turbo", "gpt-4-turbo-preview", "gpt-3.5-turbo", - "gpt-4-0125-preview", - "gpt-4-1106-preview", - "gpt-4-vision-preview", - "gpt-3.5-turbo-0125", - "gpt-3.5-turbo-1106" + "gpt-3.5-turbo-0125" ], "name": "model_name", "display_name": "Model Name", @@ -728,9 +672,7 @@ "info": "", "load_from_db": false, "title_case": false, - "input_types": [ - "Text" - ] + "input_types": ["Text"] }, "openai_api_base": { "type": "str", @@ -749,9 +691,7 @@ "info": "The base URL of the OpenAI API. Defaults to https://api.openai.com/v1.\n\nYou can change this to use other APIs like JinaChat, LocalAI and Prem.", "load_from_db": false, "title_case": false, - "input_types": [ - "Text" - ] + "input_types": ["Text"] }, "openai_api_key": { "type": "str", @@ -770,9 +710,7 @@ "info": "The OpenAI API Key to use for the OpenAI model.", "load_from_db": false, "title_case": false, - "input_types": [ - "Text" - ], + "input_types": ["Text"], "value": "" }, "stream": { @@ -811,9 +749,7 @@ "info": "System message to pass to the model.", "load_from_db": false, "title_case": false, - "input_types": [ - "Text" - ] + "input_types": ["Text"] }, "temperature": { "type": "float", @@ -844,11 +780,7 @@ }, "description": "Generates text using OpenAI LLMs.", "icon": "OpenAI", - "base_classes": [ - "object", - "str", - "Text" - ], + "base_classes": ["object", "str", "Text"], "display_name": "OpenAI", "documentation": "", "custom_fields": { @@ -862,9 +794,7 @@ "stream": null, "system_message": null }, - "output_types": [ - "Text" - ], + "output_types": ["Text"], "field_formatters": {}, "frozen": false, "field_order": [ @@ -902,21 +832,11 @@ "targetHandle": { "fieldName": "Question", "id": "Prompt-tHwPf", - "inputTypes": [ - "Document", - "BaseOutputParser", - "Record", - "Text" - ], + "inputTypes": ["Document", "BaseOutputParser", "Record", "Text"], "type": "str" }, "sourceHandle": { - "baseClasses": [ - "str", - "Record", - "Text", - "object" - ], + "baseClasses": ["str", "Record", "Text", "object"], "dataType": "ChatInput", "id": "ChatInput-MsSJ9" } @@ -936,18 +856,11 @@ "targetHandle": { "fieldName": "Document", "id": "Prompt-tHwPf", - "inputTypes": [ - "Document", - "BaseOutputParser", - "Record", - "Text" - ], + "inputTypes": ["Document", "BaseOutputParser", "Record", "Text"], "type": "str" }, "sourceHandle": { - "baseClasses": [ - "Record" - ], + "baseClasses": ["Record"], "dataType": "File", "id": "File-6TEsD" } @@ -967,17 +880,11 @@ "targetHandle": { "fieldName": "input_value", "id": "OpenAIModel-Bt067", - "inputTypes": [ - "Text" - ], + "inputTypes": ["Text"], "type": "str" }, "sourceHandle": { - "baseClasses": [ - "object", - "str", - "Text" - ], + "baseClasses": ["object", "str", "Text"], "dataType": "Prompt", "id": "Prompt-tHwPf" } @@ -997,17 +904,11 @@ "targetHandle": { "fieldName": "input_value", "id": "ChatOutput-F5Awj", - "inputTypes": [ - "Text" - ], + "inputTypes": ["Text"], "type": "str" }, "sourceHandle": { - "baseClasses": [ - "object", - "str", - "Text" - ], + "baseClasses": ["object", "str", "Text"], "dataType": "OpenAIModel", "id": "OpenAIModel-Bt067" } @@ -1029,4 +930,4 @@ "name": "Document QA", "last_tested_version": "1.0.0a0", "is_component": false -} \ No newline at end of file +} diff --git a/src/backend/base/langflow/initial_setup/starter_projects/Langflow Memory Conversation.json b/src/backend/base/langflow/initial_setup/starter_projects/Langflow Memory Conversation.json index 054049b4b..a20f7bc19 100644 --- a/src/backend/base/langflow/initial_setup/starter_projects/Langflow Memory Conversation.json +++ b/src/backend/base/langflow/initial_setup/starter_projects/Langflow Memory Conversation.json @@ -22,7 +22,7 @@ "list": false, "show": true, "multiline": true, - "value": "from typing import Optional, Union\n\nfrom langflow.base.io.chat import ChatComponent\nfrom langflow.field_typing import Text\nfrom langflow.schema import Record\n\n\nclass ChatInput(ChatComponent):\n display_name = \"Chat Input\"\n description = \"Get chat inputs from the Interaction Panel.\"\n icon = \"ChatInput\"\n\n def build_config(self):\n build_config = super().build_config()\n build_config[\"input_value\"] = {\n \"input_types\": [],\n \"display_name\": \"Message\",\n \"multiline\": True,\n }\n\n return build_config\n\n def build(\n self,\n sender: Optional[str] = \"User\",\n sender_name: Optional[str] = \"User\",\n input_value: Optional[str] = None,\n files: Optional[list[str]] = None,\n session_id: Optional[str] = None,\n return_record: Optional[bool] = False,\n ) -> Union[Text, Record]:\n return super().build_no_record(\n sender=sender,\n sender_name=sender_name,\n input_value=input_value,\n files=files,\n session_id=session_id,\n return_record=return_record,\n )\n", + "value": "from typing import Optional, Union\n\nfrom langflow.base.io.chat import ChatComponent\nfrom langflow.field_typing import Text\nfrom langflow.schema import Record\n\n\nclass ChatInput(ChatComponent):\n display_name = \"Chat Input\"\n description = \"Get chat inputs from the Playground.\"\n icon = \"ChatInput\"\n\n def build_config(self):\n build_config = super().build_config()\n build_config[\"input_value\"] = {\n \"input_types\": [],\n \"display_name\": \"Message\",\n \"multiline\": True,\n }\n\n return build_config\n\n def build(\n self,\n sender: Optional[str] = \"User\",\n sender_name: Optional[str] = \"User\",\n input_value: Optional[str] = None,\n session_id: Optional[str] = None,\n return_record: Optional[bool] = False,\n ) -> Union[Text, Record]:\n return super().build_no_record(\n sender=sender,\n sender_name=sender_name,\n input_value=input_value,\n session_id=session_id,\n return_record=return_record,\n )\n", "fileTypes": [], "file_path": "", "password": false, @@ -83,10 +83,7 @@ "fileTypes": [], "file_path": "", "password": false, - "options": [ - "Machine", - "User" - ], + "options": ["Machine", "User"], "name": "sender", "display_name": "Sender Type", "advanced": true, @@ -94,9 +91,7 @@ "info": "", "load_from_db": false, "title_case": false, - "input_types": [ - "Text" - ] + "input_types": ["Text"] }, "sender_name": { "type": "str", @@ -116,9 +111,7 @@ "info": "", "load_from_db": false, "title_case": false, - "input_types": [ - "Text" - ] + "input_types": ["Text"] }, "session_id": { "type": "str", @@ -137,21 +130,14 @@ "info": "If provided, the message will be stored in the memory.", "load_from_db": false, "title_case": false, - "input_types": [ - "Text" - ], + "input_types": ["Text"], "value": "MySessionID" }, "_type": "CustomComponent" }, - "description": "Get chat inputs from the Interaction Panel.", + "description": "Get chat inputs from the Playground.", "icon": "ChatInput", - "base_classes": [ - "Text", - "object", - "Record", - "str" - ], + "base_classes": ["Text", "object", "Record", "str"], "display_name": "Chat Input", "documentation": "", "custom_fields": { @@ -161,10 +147,7 @@ "session_id": null, "return_record": null }, - "output_types": [ - "Text", - "Record" - ], + "output_types": ["Text", "Record"], "field_formatters": {}, "frozen": false, "field_order": [], @@ -199,7 +182,7 @@ "list": false, "show": true, "multiline": true, - "value": "from typing import Optional, Union\n\nfrom langflow.base.io.chat import ChatComponent\nfrom langflow.field_typing import Text\nfrom langflow.schema import Record\n\n\nclass ChatOutput(ChatComponent):\n display_name = \"Chat Output\"\n description = \"Display a chat message in the Interaction Panel.\"\n icon = \"ChatOutput\"\n\n def build(\n self,\n sender: Optional[str] = \"Machine\",\n sender_name: Optional[str] = \"AI\",\n input_value: Optional[str] = None,\n session_id: Optional[str] = None,\n return_record: Optional[bool] = False,\n record_template: Optional[str] = \"{text}\",\n files: Optional[list[str]] = None,\n ) -> Union[Text, Record]:\n return super().build_with_record(\n sender=sender,\n sender_name=sender_name,\n input_value=input_value,\n session_id=session_id,\n return_record=return_record,\n record_template=record_template or \"\",\n files=files,\n )\n", + "value": "from typing import Optional, Union\n\nfrom langflow.base.io.chat import ChatComponent\nfrom langflow.field_typing import Text\nfrom langflow.schema import Record\n\n\nclass ChatOutput(ChatComponent):\n display_name = \"Chat Output\"\n description = \"Display a chat message in the Playground.\"\n icon = \"ChatOutput\"\n\n def build(\n self,\n sender: Optional[str] = \"Machine\",\n sender_name: Optional[str] = \"AI\",\n input_value: Optional[str] = None,\n session_id: Optional[str] = None,\n return_record: Optional[bool] = False,\n record_template: Optional[str] = \"{text}\",\n ) -> Union[Text, Record]:\n return super().build_with_record(\n sender=sender,\n sender_name=sender_name,\n input_value=input_value,\n session_id=session_id,\n return_record=return_record,\n record_template=record_template or \"\",\n )\n", "fileTypes": [], "file_path": "", "password": false, @@ -223,9 +206,7 @@ "name": "input_value", "display_name": "Message", "advanced": false, - "input_types": [ - "Text" - ], + "input_types": ["Text"], "dynamic": false, "info": "", "load_from_db": false, @@ -261,10 +242,7 @@ "fileTypes": [], "file_path": "", "password": false, - "options": [ - "Machine", - "User" - ], + "options": ["Machine", "User"], "name": "sender", "display_name": "Sender Type", "advanced": true, @@ -272,9 +250,7 @@ "info": "", "load_from_db": false, "title_case": false, - "input_types": [ - "Text" - ] + "input_types": ["Text"] }, "sender_name": { "type": "str", @@ -294,9 +270,7 @@ "info": "", "load_from_db": false, "title_case": false, - "input_types": [ - "Text" - ] + "input_types": ["Text"] }, "session_id": { "type": "str", @@ -315,21 +289,14 @@ "info": "If provided, the message will be stored in the memory.", "load_from_db": false, "title_case": false, - "input_types": [ - "Text" - ], + "input_types": ["Text"], "value": "MySessionID" }, "_type": "CustomComponent" }, - "description": "Display a chat message in the Interaction Panel.", + "description": "Display a chat message in the Playground.", "icon": "ChatOutput", - "base_classes": [ - "Text", - "object", - "Record", - "str" - ], + "base_classes": ["Text", "object", "Record", "str"], "display_name": "Chat Output", "documentation": "", "custom_fields": { @@ -339,10 +306,7 @@ "session_id": null, "return_record": null }, - "output_types": [ - "Text", - "Record" - ], + "output_types": ["Text", "Record"], "field_formatters": {}, "frozen": false, "field_order": [], @@ -377,7 +341,7 @@ "list": false, "show": true, "multiline": true, - "value": "from typing import Optional\n\nfrom langflow.field_typing import Text\nfrom langflow.helpers.record import records_to_text\nfrom langflow.interface.custom.custom_component import CustomComponent\nfrom langflow.memory import get_messages\n\n\nclass MemoryComponent(CustomComponent):\n display_name = \"Chat Memory\"\n description = \"Retrieves stored chat messages given a specific Session ID.\"\n beta: bool = True\n icon = \"history\"\n\n def build_config(self):\n return {\n \"sender\": {\n \"options\": [\"Machine\", \"User\", \"Machine and User\"],\n \"display_name\": \"Sender Type\",\n },\n \"sender_name\": {\"display_name\": \"Sender Name\", \"advanced\": True},\n \"n_messages\": {\n \"display_name\": \"Number of Messages\",\n \"info\": \"Number of messages to retrieve.\",\n },\n \"session_id\": {\n \"display_name\": \"Session ID\",\n \"info\": \"Session ID of the chat history.\",\n \"input_types\": [\"Text\"],\n },\n \"order\": {\n \"options\": [\"Ascending\", \"Descending\"],\n \"display_name\": \"Order\",\n \"info\": \"Order of the messages.\",\n \"advanced\": True,\n },\n \"record_template\": {\n \"display_name\": \"Record Template\",\n \"multiline\": True,\n \"info\": \"Template to convert Record to Text. If left empty, it will be dynamically set to the Record's text key.\",\n \"advanced\": True,\n },\n }\n\n def build(\n self,\n sender: Optional[str] = \"Machine and User\",\n sender_name: Optional[str] = None,\n session_id: Optional[str] = None,\n n_messages: int = 5,\n order: Optional[str] = \"Descending\",\n record_template: Optional[str] = \"{sender_name}: {text}\",\n ) -> Text:\n order = \"DESC\" if order == \"Descending\" else \"ASC\"\n if sender == \"Machine and User\":\n sender = None\n messages = get_messages(\n sender=sender,\n sender_name=sender_name,\n session_id=session_id,\n limit=n_messages,\n order=order,\n )\n messages_str = records_to_text(template=record_template or \"\", records=messages)\n self.status = messages_str\n return messages_str\n", + "value": "from typing import Optional\n\nfrom langflow.base.memory.memory import BaseMemoryComponent\nfrom langflow.field_typing import Text\nfrom langflow.helpers.record import records_to_text\nfrom langflow.memory import get_messages\nfrom langflow.schema.schema import Record\n\n\nclass MemoryComponent(BaseMemoryComponent):\n display_name = \"Chat Memory\"\n description = \"Retrieves stored chat messages given a specific Session ID.\"\n beta: bool = True\n icon = \"history\"\n\n def build_config(self):\n return {\n \"sender\": {\n \"options\": [\"Machine\", \"User\", \"Machine and User\"],\n \"display_name\": \"Sender Type\",\n },\n \"sender_name\": {\"display_name\": \"Sender Name\", \"advanced\": True},\n \"n_messages\": {\n \"display_name\": \"Number of Messages\",\n \"info\": \"Number of messages to retrieve.\",\n },\n \"session_id\": {\n \"display_name\": \"Session ID\",\n \"info\": \"Session ID of the chat history.\",\n \"input_types\": [\"Text\"],\n },\n \"order\": {\n \"options\": [\"Ascending\", \"Descending\"],\n \"display_name\": \"Order\",\n \"info\": \"Order of the messages.\",\n \"advanced\": True,\n },\n \"record_template\": {\n \"display_name\": \"Record Template\",\n \"multiline\": True,\n \"info\": \"Template to convert Record to Text. If left empty, it will be dynamically set to the Record's text key.\",\n \"advanced\": True,\n },\n }\n\n def get_messages(self, **kwargs) -> list[Record]:\n # Validate kwargs by checking if it contains the correct keys\n if \"sender\" not in kwargs:\n kwargs[\"sender\"] = None\n if \"sender_name\" not in kwargs:\n kwargs[\"sender_name\"] = None\n if \"session_id\" not in kwargs:\n kwargs[\"session_id\"] = None\n if \"limit\" not in kwargs:\n kwargs[\"limit\"] = 5\n if \"order\" not in kwargs:\n kwargs[\"order\"] = \"Descending\"\n\n kwargs[\"order\"] = \"DESC\" if kwargs[\"order\"] == \"Descending\" else \"ASC\"\n if kwargs[\"sender\"] == \"Machine and User\":\n kwargs[\"sender\"] = None\n return get_messages(**kwargs)\n\n def build(\n self,\n sender: Optional[str] = \"Machine and User\",\n sender_name: Optional[str] = None,\n session_id: Optional[str] = None,\n n_messages: int = 5,\n order: Optional[str] = \"Descending\",\n record_template: Optional[str] = \"{sender_name}: {text}\",\n ) -> Text:\n messages = self.get_messages(\n sender=sender,\n sender_name=sender_name,\n session_id=session_id,\n limit=n_messages,\n order=order,\n )\n messages_str = records_to_text(template=record_template or \"\", records=messages)\n self.status = messages_str\n return messages_str\n", "fileTypes": [], "file_path": "", "password": false, @@ -418,10 +382,7 @@ "fileTypes": [], "file_path": "", "password": false, - "options": [ - "Ascending", - "Descending" - ], + "options": ["Ascending", "Descending"], "name": "order", "display_name": "Order", "advanced": true, @@ -429,9 +390,7 @@ "info": "Order of the messages.", "load_from_db": false, "title_case": false, - "input_types": [ - "Text" - ] + "input_types": ["Text"] }, "record_template": { "type": "str", @@ -451,9 +410,7 @@ "info": "Template to convert Record to Text. If left empty, it will be dynamically set to the Record's text key.", "load_from_db": false, "title_case": false, - "input_types": [ - "Text" - ] + "input_types": ["Text"] }, "sender": { "type": "str", @@ -466,11 +423,7 @@ "fileTypes": [], "file_path": "", "password": false, - "options": [ - "Machine", - "User", - "Machine and User" - ], + "options": ["Machine", "User", "Machine and User"], "name": "sender", "display_name": "Sender Type", "advanced": false, @@ -478,9 +431,7 @@ "info": "", "load_from_db": false, "title_case": false, - "input_types": [ - "Text" - ] + "input_types": ["Text"] }, "sender_name": { "type": "str", @@ -499,9 +450,7 @@ "info": "", "load_from_db": false, "title_case": false, - "input_types": [ - "Text" - ] + "input_types": ["Text"] }, "session_id": { "type": "str", @@ -516,9 +465,7 @@ "name": "session_id", "display_name": "Session ID", "advanced": false, - "input_types": [ - "Text" - ], + "input_types": ["Text"], "dynamic": false, "info": "Session ID of the chat history.", "load_from_db": false, @@ -529,11 +476,7 @@ }, "description": "Retrieves stored chat messages given a specific Session ID.", "icon": "history", - "base_classes": [ - "str", - "Text", - "object" - ], + "base_classes": ["str", "Text", "object"], "display_name": "Chat Memory", "documentation": "", "custom_fields": { @@ -544,9 +487,7 @@ "order": null, "record_template": null }, - "output_types": [ - "Text" - ], + "output_types": ["Text"], "field_formatters": {}, "frozen": false, "field_order": [], @@ -608,9 +549,7 @@ "name": "template", "display_name": "Template", "advanced": false, - "input_types": [ - "Text" - ], + "input_types": ["Text"], "dynamic": false, "info": "", "load_from_db": false, @@ -675,23 +614,14 @@ "is_input": null, "is_output": null, "is_composition": null, - "base_classes": [ - "Text", - "str", - "object" - ], + "base_classes": ["Text", "str", "object"], "name": "", "display_name": "Prompt", "documentation": "", "custom_fields": { - "template": [ - "context", - "user_message" - ] + "template": ["context", "user_message"] }, - "output_types": [ - "Text" - ], + "output_types": ["Text"], "full_path": null, "field_formatters": {}, "frozen": false, @@ -740,9 +670,7 @@ "info": "", "load_from_db": false, "title_case": false, - "input_types": [ - "Text" - ] + "input_types": ["Text"] }, "code": { "type": "code", @@ -751,7 +679,7 @@ "list": false, "show": true, "multiline": true, - "value": "from typing import Optional\n\nfrom langchain_openai import ChatOpenAI\nfrom pydantic.v1 import SecretStr\n\nfrom langflow.base.constants import STREAM_INFO_TEXT\nfrom langflow.base.models.model import LCModelComponent\nfrom langflow.field_typing import NestedDict, Text\n\n\nclass OpenAIModelComponent(LCModelComponent):\n display_name = \"OpenAI\"\n description = \"Generates text using OpenAI LLMs.\"\n icon = \"OpenAI\"\n\n field_order = [\n \"max_tokens\",\n \"model_kwargs\",\n \"model_name\",\n \"openai_api_base\",\n \"openai_api_key\",\n \"temperature\",\n \"input_value\",\n \"system_message\",\n \"stream\",\n ]\n\n def build_config(self):\n return {\n \"input_value\": {\"display_name\": \"Input\"},\n \"max_tokens\": {\n \"display_name\": \"Max Tokens\",\n \"advanced\": True,\n },\n \"model_kwargs\": {\n \"display_name\": \"Model Kwargs\",\n \"advanced\": True,\n },\n \"model_name\": {\n \"display_name\": \"Model Name\",\n \"advanced\": False,\n \"options\": [\n \"gpt-4-turbo-2024-04-09\",\n \"gpt-4-turbo-preview\",\n \"gpt-3.5-turbo\",\n \"gpt-4-0125-preview\",\n \"gpt-4-1106-preview\",\n \"gpt-4-vision-preview\",\n \"gpt-3.5-turbo-0125\",\n \"gpt-3.5-turbo-1106\",\n ],\n \"value\": \"gpt-4-turbo-preview\",\n },\n \"openai_api_base\": {\n \"display_name\": \"OpenAI API Base\",\n \"advanced\": True,\n \"info\": (\n \"The base URL of the OpenAI API. Defaults to https://api.openai.com/v1.\\n\\n\"\n \"You can change this to use other APIs like JinaChat, LocalAI and Prem.\"\n ),\n },\n \"openai_api_key\": {\n \"display_name\": \"OpenAI API Key\",\n \"info\": \"The OpenAI API Key to use for the OpenAI model.\",\n \"advanced\": False,\n \"password\": True,\n },\n \"temperature\": {\n \"display_name\": \"Temperature\",\n \"advanced\": False,\n \"value\": 0.1,\n },\n \"stream\": {\n \"display_name\": \"Stream\",\n \"info\": STREAM_INFO_TEXT,\n \"advanced\": True,\n },\n \"system_message\": {\n \"display_name\": \"System Message\",\n \"info\": \"System message to pass to the model.\",\n \"advanced\": True,\n },\n }\n\n def build(\n self,\n input_value: Text,\n openai_api_key: str,\n temperature: float,\n model_name: str,\n max_tokens: Optional[int] = 256,\n model_kwargs: NestedDict = {},\n openai_api_base: Optional[str] = None,\n stream: bool = False,\n system_message: Optional[str] = None,\n ) -> Text:\n if not openai_api_base:\n openai_api_base = \"https://api.openai.com/v1\"\n if openai_api_key:\n api_key = SecretStr(openai_api_key)\n else:\n api_key = None\n\n output = ChatOpenAI(\n max_tokens=max_tokens,\n model_kwargs=model_kwargs,\n model=model_name,\n base_url=openai_api_base,\n api_key=api_key,\n temperature=temperature,\n )\n\n return self.get_chat_result(output, stream, input_value, system_message)\n", + "value": "from typing import Optional\n\nfrom langchain_openai import ChatOpenAI\nfrom pydantic.v1 import SecretStr\n\nfrom langflow.base.constants import STREAM_INFO_TEXT\nfrom langflow.base.models.model import LCModelComponent\nfrom langflow.base.models.openai_constants import MODEL_NAMES\nfrom langflow.field_typing import NestedDict, Text\n\n\nclass OpenAIModelComponent(LCModelComponent):\n display_name = \"OpenAI\"\n description = \"Generates text using OpenAI LLMs.\"\n icon = \"OpenAI\"\n\n field_order = [\n \"max_tokens\",\n \"model_kwargs\",\n \"model_name\",\n \"openai_api_base\",\n \"openai_api_key\",\n \"temperature\",\n \"input_value\",\n \"system_message\",\n \"stream\",\n ]\n\n def build_config(self):\n return {\n \"input_value\": {\"display_name\": \"Input\"},\n \"max_tokens\": {\n \"display_name\": \"Max Tokens\",\n \"advanced\": True,\n },\n \"model_kwargs\": {\n \"display_name\": \"Model Kwargs\",\n \"advanced\": True,\n },\n \"model_name\": {\n \"display_name\": \"Model Name\",\n \"advanced\": False,\n \"options\": MODEL_NAMES,\n },\n \"openai_api_base\": {\n \"display_name\": \"OpenAI API Base\",\n \"advanced\": True,\n \"info\": (\n \"The base URL of the OpenAI API. Defaults to https://api.openai.com/v1.\\n\\n\"\n \"You can change this to use other APIs like JinaChat, LocalAI and Prem.\"\n ),\n },\n \"openai_api_key\": {\n \"display_name\": \"OpenAI API Key\",\n \"info\": \"The OpenAI API Key to use for the OpenAI model.\",\n \"advanced\": False,\n \"password\": True,\n },\n \"temperature\": {\n \"display_name\": \"Temperature\",\n \"advanced\": False,\n \"value\": 0.1,\n },\n \"stream\": {\n \"display_name\": \"Stream\",\n \"info\": STREAM_INFO_TEXT,\n \"advanced\": True,\n },\n \"system_message\": {\n \"display_name\": \"System Message\",\n \"info\": \"System message to pass to the model.\",\n \"advanced\": True,\n },\n }\n\n def build(\n self,\n input_value: Text,\n openai_api_key: str,\n temperature: float,\n model_name: str = \"gpt-4o\",\n max_tokens: Optional[int] = 256,\n model_kwargs: NestedDict = {},\n openai_api_base: Optional[str] = None,\n stream: bool = False,\n system_message: Optional[str] = None,\n ) -> Text:\n if not openai_api_base:\n openai_api_base = \"https://api.openai.com/v1\"\n if openai_api_key:\n api_key = SecretStr(openai_api_key)\n else:\n api_key = None\n\n output = ChatOpenAI(\n max_tokens=max_tokens,\n model_kwargs=model_kwargs,\n model=model_name,\n base_url=openai_api_base,\n api_key=api_key,\n temperature=temperature,\n )\n\n return self.get_chat_result(output, stream, input_value, system_message)\n", "fileTypes": [], "file_path": "", "password": false, @@ -802,7 +730,7 @@ }, "model_name": { "type": "str", - "required": true, + "required": false, "placeholder": "", "list": true, "show": true, @@ -812,14 +740,11 @@ "file_path": "", "password": false, "options": [ - "gpt-4-turbo-2024-04-09", + "gpt-4o", + "gpt-4-turbo", "gpt-4-turbo-preview", "gpt-3.5-turbo", - "gpt-4-0125-preview", - "gpt-4-1106-preview", - "gpt-4-vision-preview", - "gpt-3.5-turbo-0125", - "gpt-3.5-turbo-1106" + "gpt-3.5-turbo-0125" ], "name": "model_name", "display_name": "Model Name", @@ -828,9 +753,7 @@ "info": "", "load_from_db": false, "title_case": false, - "input_types": [ - "Text" - ] + "input_types": ["Text"] }, "openai_api_base": { "type": "str", @@ -849,9 +772,7 @@ "info": "The base URL of the OpenAI API. Defaults to https://api.openai.com/v1.\n\nYou can change this to use other APIs like JinaChat, LocalAI and Prem.", "load_from_db": false, "title_case": false, - "input_types": [ - "Text" - ] + "input_types": ["Text"] }, "openai_api_key": { "type": "str", @@ -870,9 +791,7 @@ "info": "The OpenAI API Key to use for the OpenAI model.", "load_from_db": false, "title_case": false, - "input_types": [ - "Text" - ], + "input_types": ["Text"], "value": "" }, "stream": { @@ -911,9 +830,7 @@ "info": "System message to pass to the model.", "load_from_db": false, "title_case": false, - "input_types": [ - "Text" - ] + "input_types": ["Text"] }, "temperature": { "type": "float", @@ -944,11 +861,7 @@ }, "description": "Generates text using OpenAI LLMs.", "icon": "OpenAI", - "base_classes": [ - "str", - "object", - "Text" - ], + "base_classes": ["str", "object", "Text"], "display_name": "OpenAI", "documentation": "", "custom_fields": { @@ -962,9 +875,7 @@ "stream": null, "system_message": null }, - "output_types": [ - "Text" - ], + "output_types": ["Text"], "field_formatters": {}, "frozen": false, "field_order": [ @@ -1016,10 +927,7 @@ "name": "input_value", "display_name": "Value", "advanced": false, - "input_types": [ - "Record", - "Text" - ], + "input_types": ["Record", "Text"], "dynamic": false, "info": "Text or Record to be passed as output.", "load_from_db": false, @@ -1032,7 +940,7 @@ "list": false, "show": true, "multiline": true, - "value": "from typing import Optional\n\nfrom langflow.base.io.text import TextComponent\nfrom langflow.field_typing import Text\n\n\nclass TextOutput(TextComponent):\n display_name = \"Text Output\"\n description = \"Display a text output in the Interaction Panel.\"\n icon = \"type\"\n\n def build_config(self):\n return {\n \"input_value\": {\n \"display_name\": \"Value\",\n \"input_types\": [\"Record\", \"Text\"],\n \"info\": \"Text or Record to be passed as output.\",\n },\n \"record_template\": {\n \"display_name\": \"Record Template\",\n \"multiline\": True,\n \"info\": \"Template to convert Record to Text. If left empty, it will be dynamically set to the Record's text key.\",\n \"advanced\": True,\n },\n }\n\n def build(self, input_value: Optional[Text] = \"\", record_template: str = \"\") -> Text:\n return super().build(input_value=input_value, record_template=record_template)\n", + "value": "from typing import Optional\n\nfrom langflow.base.io.text import TextComponent\nfrom langflow.field_typing import Text\n\n\nclass TextOutput(TextComponent):\n display_name = \"Text Output\"\n description = \"Display a text output in the Playground.\"\n icon = \"type\"\n\n def build_config(self):\n return {\n \"input_value\": {\n \"display_name\": \"Value\",\n \"input_types\": [\"Record\", \"Text\"],\n \"info\": \"Text or Record to be passed as output.\",\n },\n \"record_template\": {\n \"display_name\": \"Record Template\",\n \"multiline\": True,\n \"info\": \"Template to convert Record to Text. If left empty, it will be dynamically set to the Record's text key.\",\n \"advanced\": True,\n },\n }\n\n def build(self, input_value: Optional[Text] = \"\", record_template: str = \"\") -> Text:\n return super().build(input_value=input_value, record_template=record_template)\n", "fileTypes": [], "file_path": "", "password": false, @@ -1061,28 +969,20 @@ "info": "Template to convert Record to Text. If left empty, it will be dynamically set to the Record's text key.", "load_from_db": false, "title_case": false, - "input_types": [ - "Text" - ] + "input_types": ["Text"] }, "_type": "CustomComponent" }, - "description": "Display a text output in the Interaction Panel.", + "description": "Display a text output in the Playground.", "icon": "type", - "base_classes": [ - "str", - "object", - "Text" - ], + "base_classes": ["str", "object", "Text"], "display_name": "Inspect Memory", "documentation": "", "custom_fields": { "input_value": null, "record_template": null }, - "output_types": [ - "Text" - ], + "output_types": ["Text"], "field_formatters": {}, "frozen": false, "field_order": [], @@ -1111,19 +1011,10 @@ "fieldName": "context", "type": "str", "id": "Prompt-ODkUx", - "inputTypes": [ - "Document", - "BaseOutputParser", - "Record", - "Text" - ] + "inputTypes": ["Document", "BaseOutputParser", "Record", "Text"] }, "sourceHandle": { - "baseClasses": [ - "str", - "Text", - "object" - ], + "baseClasses": ["str", "Text", "object"], "dataType": "MemoryComponent", "id": "MemoryComponent-cdA1J" } @@ -1145,20 +1036,10 @@ "fieldName": "user_message", "type": "str", "id": "Prompt-ODkUx", - "inputTypes": [ - "Document", - "BaseOutputParser", - "Record", - "Text" - ] + "inputTypes": ["Document", "BaseOutputParser", "Record", "Text"] }, "sourceHandle": { - "baseClasses": [ - "Text", - "object", - "Record", - "str" - ], + "baseClasses": ["Text", "object", "Record", "str"], "dataType": "ChatInput", "id": "ChatInput-t7F8v" } @@ -1179,17 +1060,11 @@ "targetHandle": { "fieldName": "input_value", "id": "OpenAIModel-9RykF", - "inputTypes": [ - "Text" - ], + "inputTypes": ["Text"], "type": "str" }, "sourceHandle": { - "baseClasses": [ - "Text", - "str", - "object" - ], + "baseClasses": ["Text", "str", "object"], "dataType": "Prompt", "id": "Prompt-ODkUx" } @@ -1209,17 +1084,11 @@ "targetHandle": { "fieldName": "input_value", "id": "ChatOutput-P1jEe", - "inputTypes": [ - "Text" - ], + "inputTypes": ["Text"], "type": "str" }, "sourceHandle": { - "baseClasses": [ - "str", - "object", - "Text" - ], + "baseClasses": ["str", "object", "Text"], "dataType": "OpenAIModel", "id": "OpenAIModel-9RykF" } @@ -1239,18 +1108,11 @@ "targetHandle": { "fieldName": "input_value", "id": "TextOutput-vrs6T", - "inputTypes": [ - "Record", - "Text" - ], + "inputTypes": ["Record", "Text"], "type": "str" }, "sourceHandle": { - "baseClasses": [ - "str", - "Text", - "object" - ], + "baseClasses": ["str", "Text", "object"], "dataType": "MemoryComponent", "id": "MemoryComponent-cdA1J" } @@ -1272,4 +1134,4 @@ "name": "Memory Chatbot", "last_tested_version": "1.0.0a0", "is_component": false -} \ No newline at end of file +} diff --git a/src/backend/base/langflow/initial_setup/starter_projects/Langflow Prompt Chaining.json b/src/backend/base/langflow/initial_setup/starter_projects/Langflow Prompt Chaining.json index ecc02f2d9..38dda79d5 100644 --- a/src/backend/base/langflow/initial_setup/starter_projects/Langflow Prompt Chaining.json +++ b/src/backend/base/langflow/initial_setup/starter_projects/Langflow Prompt Chaining.json @@ -45,9 +45,7 @@ "name": "template", "display_name": "Template", "advanced": false, - "input_types": [ - "Text" - ], + "input_types": ["Text"], "dynamic": false, "info": "", "load_from_db": false, @@ -86,22 +84,14 @@ "is_input": null, "is_output": null, "is_composition": null, - "base_classes": [ - "object", - "str", - "Text" - ], + "base_classes": ["object", "str", "Text"], "name": "", "display_name": "Prompt", "documentation": "", "custom_fields": { - "template": [ - "document" - ] + "template": ["document"] }, - "output_types": [ - "Text" - ], + "output_types": ["Text"], "full_path": null, "field_formatters": {}, "frozen": false, @@ -165,9 +155,7 @@ "name": "template", "display_name": "Template", "advanced": false, - "input_types": [ - "Text" - ], + "input_types": ["Text"], "dynamic": false, "info": "", "load_from_db": false, @@ -206,22 +194,14 @@ "is_input": null, "is_output": null, "is_composition": null, - "base_classes": [ - "object", - "str", - "Text" - ], + "base_classes": ["object", "str", "Text"], "name": "", "display_name": "Prompt", "documentation": "", "custom_fields": { - "template": [ - "summary" - ] + "template": ["summary"] }, - "output_types": [ - "Text" - ], + "output_types": ["Text"], "full_path": null, "field_formatters": {}, "frozen": false, @@ -256,7 +236,7 @@ "list": false, "show": true, "multiline": true, - "value": "from typing import Optional, Union\n\nfrom langflow.base.io.chat import ChatComponent\nfrom langflow.field_typing import Text\nfrom langflow.schema import Record\n\n\nclass ChatOutput(ChatComponent):\n display_name = \"Chat Output\"\n description = \"Display a chat message in the Interaction Panel.\"\n icon = \"ChatOutput\"\n\n def build(\n self,\n sender: Optional[str] = \"Machine\",\n sender_name: Optional[str] = \"AI\",\n input_value: Optional[str] = None,\n session_id: Optional[str] = None,\n return_record: Optional[bool] = False,\n record_template: Optional[str] = \"{text}\",\n files: Optional[list[str]] = None,\n ) -> Union[Text, Record]:\n return super().build_with_record(\n sender=sender,\n sender_name=sender_name,\n input_value=input_value,\n session_id=session_id,\n return_record=return_record,\n record_template=record_template or \"\",\n files=files,\n )\n", + "value": "from typing import Optional, Union\n\nfrom langflow.base.io.chat import ChatComponent\nfrom langflow.field_typing import Text\nfrom langflow.schema import Record\n\n\nclass ChatOutput(ChatComponent):\n display_name = \"Chat Output\"\n description = \"Display a chat message in the Playground.\"\n icon = \"ChatOutput\"\n\n def build(\n self,\n sender: Optional[str] = \"Machine\",\n sender_name: Optional[str] = \"AI\",\n input_value: Optional[str] = None,\n session_id: Optional[str] = None,\n return_record: Optional[bool] = False,\n record_template: Optional[str] = \"{text}\",\n ) -> Union[Text, Record]:\n return super().build_with_record(\n sender=sender,\n sender_name=sender_name,\n input_value=input_value,\n session_id=session_id,\n return_record=return_record,\n record_template=record_template or \"\",\n )\n", "fileTypes": [], "file_path": "", "password": false, @@ -280,9 +260,7 @@ "name": "input_value", "display_name": "Message", "advanced": false, - "input_types": [ - "Text" - ], + "input_types": ["Text"], "dynamic": false, "info": "", "load_from_db": false, @@ -306,9 +284,7 @@ "info": "In case of Message being a Record, this template will be used to convert it to text.", "load_from_db": false, "title_case": false, - "input_types": [ - "Text" - ] + "input_types": ["Text"] }, "return_record": { "type": "bool", @@ -340,10 +316,7 @@ "fileTypes": [], "file_path": "", "password": false, - "options": [ - "Machine", - "User" - ], + "options": ["Machine", "User"], "name": "sender", "display_name": "Sender Type", "advanced": true, @@ -351,9 +324,7 @@ "info": "", "load_from_db": false, "title_case": false, - "input_types": [ - "Text" - ] + "input_types": ["Text"] }, "sender_name": { "type": "str", @@ -373,9 +344,7 @@ "info": "", "load_from_db": false, "title_case": false, - "input_types": [ - "Text" - ] + "input_types": ["Text"] }, "session_id": { "type": "str", @@ -394,20 +363,13 @@ "info": "If provided, the message will be stored in the memory.", "load_from_db": false, "title_case": false, - "input_types": [ - "Text" - ] + "input_types": ["Text"] }, "_type": "CustomComponent" }, - "description": "Display a chat message in the Interaction Panel.", + "description": "Display a chat message in the Playground.", "icon": "ChatOutput", - "base_classes": [ - "object", - "Record", - "Text", - "str" - ], + "base_classes": ["object", "Record", "Text", "str"], "display_name": "Chat Output", "documentation": "", "custom_fields": { @@ -418,10 +380,7 @@ "return_record": null, "record_template": null }, - "output_types": [ - "Text", - "Record" - ], + "output_types": ["Text", "Record"], "field_formatters": {}, "frozen": false, "field_order": [], @@ -452,7 +411,7 @@ "list": false, "show": true, "multiline": true, - "value": "from typing import Optional, Union\n\nfrom langflow.base.io.chat import ChatComponent\nfrom langflow.field_typing import Text\nfrom langflow.schema import Record\n\n\nclass ChatOutput(ChatComponent):\n display_name = \"Chat Output\"\n description = \"Display a chat message in the Interaction Panel.\"\n icon = \"ChatOutput\"\n\n def build(\n self,\n sender: Optional[str] = \"Machine\",\n sender_name: Optional[str] = \"AI\",\n input_value: Optional[str] = None,\n session_id: Optional[str] = None,\n return_record: Optional[bool] = False,\n record_template: Optional[str] = \"{text}\",\n files: Optional[list[str]] = None,\n ) -> Union[Text, Record]:\n return super().build_with_record(\n sender=sender,\n sender_name=sender_name,\n input_value=input_value,\n session_id=session_id,\n return_record=return_record,\n record_template=record_template or \"\",\n files=files,\n )\n", + "value": "from typing import Optional, Union\n\nfrom langflow.base.io.chat import ChatComponent\nfrom langflow.field_typing import Text\nfrom langflow.schema import Record\n\n\nclass ChatOutput(ChatComponent):\n display_name = \"Chat Output\"\n description = \"Display a chat message in the Playground.\"\n icon = \"ChatOutput\"\n\n def build(\n self,\n sender: Optional[str] = \"Machine\",\n sender_name: Optional[str] = \"AI\",\n input_value: Optional[str] = None,\n session_id: Optional[str] = None,\n return_record: Optional[bool] = False,\n record_template: Optional[str] = \"{text}\",\n ) -> Union[Text, Record]:\n return super().build_with_record(\n sender=sender,\n sender_name=sender_name,\n input_value=input_value,\n session_id=session_id,\n return_record=return_record,\n record_template=record_template or \"\",\n )\n", "fileTypes": [], "file_path": "", "password": false, @@ -476,9 +435,7 @@ "name": "input_value", "display_name": "Message", "advanced": false, - "input_types": [ - "Text" - ], + "input_types": ["Text"], "dynamic": false, "info": "", "load_from_db": false, @@ -502,9 +459,7 @@ "info": "In case of Message being a Record, this template will be used to convert it to text.", "load_from_db": false, "title_case": false, - "input_types": [ - "Text" - ] + "input_types": ["Text"] }, "return_record": { "type": "bool", @@ -536,10 +491,7 @@ "fileTypes": [], "file_path": "", "password": false, - "options": [ - "Machine", - "User" - ], + "options": ["Machine", "User"], "name": "sender", "display_name": "Sender Type", "advanced": true, @@ -547,9 +499,7 @@ "info": "", "load_from_db": false, "title_case": false, - "input_types": [ - "Text" - ] + "input_types": ["Text"] }, "sender_name": { "type": "str", @@ -569,9 +519,7 @@ "info": "", "load_from_db": false, "title_case": false, - "input_types": [ - "Text" - ] + "input_types": ["Text"] }, "session_id": { "type": "str", @@ -590,20 +538,13 @@ "info": "If provided, the message will be stored in the memory.", "load_from_db": false, "title_case": false, - "input_types": [ - "Text" - ] + "input_types": ["Text"] }, "_type": "CustomComponent" }, - "description": "Display a chat message in the Interaction Panel.", + "description": "Display a chat message in the Playground.", "icon": "ChatOutput", - "base_classes": [ - "object", - "Record", - "Text", - "str" - ], + "base_classes": ["object", "Record", "Text", "str"], "display_name": "Chat Output", "documentation": "", "custom_fields": { @@ -614,10 +555,7 @@ "return_record": null, "record_template": null }, - "output_types": [ - "Text", - "Record" - ], + "output_types": ["Text", "Record"], "field_formatters": {}, "frozen": false, "field_order": [], @@ -647,7 +585,7 @@ "list": false, "show": true, "multiline": true, - "value": "from typing import Optional\n\nfrom langflow.base.io.text import TextComponent\nfrom langflow.field_typing import Text\n\n\nclass TextInput(TextComponent):\n display_name = \"Text Input\"\n description = \"Get text inputs from the Interaction Panel.\"\n icon = \"type\"\n\n def build_config(self):\n return {\n \"input_value\": {\n \"display_name\": \"Value\",\n \"input_types\": [\"Record\", \"Text\"],\n \"info\": \"Text or Record to be passed as input.\",\n },\n \"record_template\": {\n \"display_name\": \"Record Template\",\n \"multiline\": True,\n \"info\": \"Template to convert Record to Text. If left empty, it will be dynamically set to the Record's text key.\",\n \"advanced\": True,\n },\n }\n\n def build(\n self,\n input_value: Optional[Text] = \"\",\n record_template: Optional[str] = \"\",\n ) -> Text:\n return super().build(input_value=input_value, record_template=record_template)\n", + "value": "from typing import Optional\n\nfrom langflow.base.io.text import TextComponent\nfrom langflow.field_typing import Text\n\n\nclass TextInput(TextComponent):\n display_name = \"Text Input\"\n description = \"Get text inputs from the Playground.\"\n icon = \"type\"\n\n def build_config(self):\n return {\n \"input_value\": {\n \"display_name\": \"Value\",\n \"input_types\": [\"Record\", \"Text\"],\n \"info\": \"Text or Record to be passed as input.\",\n },\n \"record_template\": {\n \"display_name\": \"Record Template\",\n \"multiline\": True,\n \"info\": \"Template to convert Record to Text. If left empty, it will be dynamically set to the Record's text key.\",\n \"advanced\": True,\n },\n }\n\n def build(\n self,\n input_value: Optional[Text] = \"\",\n record_template: Optional[str] = \"\",\n ) -> Text:\n return super().build(input_value=input_value, record_template=record_template)\n", "fileTypes": [], "file_path": "", "password": false, @@ -672,10 +610,7 @@ "name": "input_value", "display_name": "Value", "advanced": false, - "input_types": [ - "Record", - "Text" - ], + "input_types": ["Record", "Text"], "dynamic": false, "info": "Text or Record to be passed as input.", "load_from_db": false, @@ -699,28 +634,20 @@ "info": "Template to convert Record to Text. If left empty, it will be dynamically set to the Record's text key.", "load_from_db": false, "title_case": false, - "input_types": [ - "Text" - ] + "input_types": ["Text"] }, "_type": "CustomComponent" }, - "description": "Get text inputs from the Interaction Panel.", + "description": "Get text inputs from the Playground.", "icon": "type", - "base_classes": [ - "str", - "Text", - "object" - ], + "base_classes": ["str", "Text", "object"], "display_name": "Text Input", "documentation": "", "custom_fields": { "input_value": null, "record_template": null }, - "output_types": [ - "Text" - ], + "output_types": ["Text"], "field_formatters": {}, "frozen": false, "field_order": [], @@ -762,10 +689,7 @@ "name": "input_value", "display_name": "Value", "advanced": false, - "input_types": [ - "Record", - "Text" - ], + "input_types": ["Record", "Text"], "dynamic": false, "info": "Text or Record to be passed as output.", "load_from_db": false, @@ -778,7 +702,7 @@ "list": false, "show": true, "multiline": true, - "value": "from typing import Optional\n\nfrom langflow.base.io.text import TextComponent\nfrom langflow.field_typing import Text\n\n\nclass TextOutput(TextComponent):\n display_name = \"Text Output\"\n description = \"Display a text output in the Interaction Panel.\"\n icon = \"type\"\n\n def build_config(self):\n return {\n \"input_value\": {\n \"display_name\": \"Value\",\n \"input_types\": [\"Record\", \"Text\"],\n \"info\": \"Text or Record to be passed as output.\",\n },\n \"record_template\": {\n \"display_name\": \"Record Template\",\n \"multiline\": True,\n \"info\": \"Template to convert Record to Text. If left empty, it will be dynamically set to the Record's text key.\",\n \"advanced\": True,\n },\n }\n\n def build(self, input_value: Optional[Text] = \"\", record_template: str = \"\") -> Text:\n return super().build(input_value=input_value, record_template=record_template)\n", + "value": "from typing import Optional\n\nfrom langflow.base.io.text import TextComponent\nfrom langflow.field_typing import Text\n\n\nclass TextOutput(TextComponent):\n display_name = \"Text Output\"\n description = \"Display a text output in the Playground.\"\n icon = \"type\"\n\n def build_config(self):\n return {\n \"input_value\": {\n \"display_name\": \"Value\",\n \"input_types\": [\"Record\", \"Text\"],\n \"info\": \"Text or Record to be passed as output.\",\n },\n \"record_template\": {\n \"display_name\": \"Record Template\",\n \"multiline\": True,\n \"info\": \"Template to convert Record to Text. If left empty, it will be dynamically set to the Record's text key.\",\n \"advanced\": True,\n },\n }\n\n def build(self, input_value: Optional[Text] = \"\", record_template: str = \"\") -> Text:\n return super().build(input_value=input_value, record_template=record_template)\n", "fileTypes": [], "file_path": "", "password": false, @@ -807,28 +731,20 @@ "info": "Template to convert Record to Text. If left empty, it will be dynamically set to the Record's text key.", "load_from_db": false, "title_case": false, - "input_types": [ - "Text" - ] + "input_types": ["Text"] }, "_type": "CustomComponent" }, - "description": "Display a text output in the Interaction Panel.", + "description": "Display a text output in the Playground.", "icon": "type", - "base_classes": [ - "str", - "Text", - "object" - ], + "base_classes": ["str", "Text", "object"], "display_name": "First Prompt", "documentation": "", "custom_fields": { "input_value": null, "record_template": null }, - "output_types": [ - "Text" - ], + "output_types": ["Text"], "field_formatters": {}, "frozen": false, "field_order": [], @@ -873,9 +789,7 @@ "info": "", "load_from_db": false, "title_case": false, - "input_types": [ - "Text" - ] + "input_types": ["Text"] }, "code": { "type": "code", @@ -884,7 +798,7 @@ "list": false, "show": true, "multiline": true, - "value": "from typing import Optional\n\nfrom langchain_openai import ChatOpenAI\nfrom pydantic.v1 import SecretStr\n\nfrom langflow.base.constants import STREAM_INFO_TEXT\nfrom langflow.base.models.model import LCModelComponent\nfrom langflow.field_typing import NestedDict, Text\n\n\nclass OpenAIModelComponent(LCModelComponent):\n display_name = \"OpenAI\"\n description = \"Generates text using OpenAI LLMs.\"\n icon = \"OpenAI\"\n\n field_order = [\n \"max_tokens\",\n \"model_kwargs\",\n \"model_name\",\n \"openai_api_base\",\n \"openai_api_key\",\n \"temperature\",\n \"input_value\",\n \"system_message\",\n \"stream\",\n ]\n\n def build_config(self):\n return {\n \"input_value\": {\"display_name\": \"Input\"},\n \"max_tokens\": {\n \"display_name\": \"Max Tokens\",\n \"advanced\": True,\n },\n \"model_kwargs\": {\n \"display_name\": \"Model Kwargs\",\n \"advanced\": True,\n },\n \"model_name\": {\n \"display_name\": \"Model Name\",\n \"advanced\": False,\n \"options\": [\n \"gpt-4-turbo-2024-04-09\",\n \"gpt-4-turbo-preview\",\n \"gpt-3.5-turbo\",\n \"gpt-4-0125-preview\",\n \"gpt-4-1106-preview\",\n \"gpt-4-vision-preview\",\n \"gpt-3.5-turbo-0125\",\n \"gpt-3.5-turbo-1106\",\n ],\n \"value\": \"gpt-4-turbo-preview\",\n },\n \"openai_api_base\": {\n \"display_name\": \"OpenAI API Base\",\n \"advanced\": True,\n \"info\": (\n \"The base URL of the OpenAI API. Defaults to https://api.openai.com/v1.\\n\\n\"\n \"You can change this to use other APIs like JinaChat, LocalAI and Prem.\"\n ),\n },\n \"openai_api_key\": {\n \"display_name\": \"OpenAI API Key\",\n \"info\": \"The OpenAI API Key to use for the OpenAI model.\",\n \"advanced\": False,\n \"password\": True,\n },\n \"temperature\": {\n \"display_name\": \"Temperature\",\n \"advanced\": False,\n \"value\": 0.1,\n },\n \"stream\": {\n \"display_name\": \"Stream\",\n \"info\": STREAM_INFO_TEXT,\n \"advanced\": True,\n },\n \"system_message\": {\n \"display_name\": \"System Message\",\n \"info\": \"System message to pass to the model.\",\n \"advanced\": True,\n },\n }\n\n def build(\n self,\n input_value: Text,\n openai_api_key: str,\n temperature: float,\n model_name: str,\n max_tokens: Optional[int] = 256,\n model_kwargs: NestedDict = {},\n openai_api_base: Optional[str] = None,\n stream: bool = False,\n system_message: Optional[str] = None,\n ) -> Text:\n if not openai_api_base:\n openai_api_base = \"https://api.openai.com/v1\"\n if openai_api_key:\n api_key = SecretStr(openai_api_key)\n else:\n api_key = None\n\n output = ChatOpenAI(\n max_tokens=max_tokens,\n model_kwargs=model_kwargs,\n model=model_name,\n base_url=openai_api_base,\n api_key=api_key,\n temperature=temperature,\n )\n\n return self.get_chat_result(output, stream, input_value, system_message)\n", + "value": "from typing import Optional\n\nfrom langchain_openai import ChatOpenAI\nfrom pydantic.v1 import SecretStr\n\nfrom langflow.base.constants import STREAM_INFO_TEXT\nfrom langflow.base.models.model import LCModelComponent\nfrom langflow.base.models.openai_constants import MODEL_NAMES\nfrom langflow.field_typing import NestedDict, Text\n\n\nclass OpenAIModelComponent(LCModelComponent):\n display_name = \"OpenAI\"\n description = \"Generates text using OpenAI LLMs.\"\n icon = \"OpenAI\"\n\n field_order = [\n \"max_tokens\",\n \"model_kwargs\",\n \"model_name\",\n \"openai_api_base\",\n \"openai_api_key\",\n \"temperature\",\n \"input_value\",\n \"system_message\",\n \"stream\",\n ]\n\n def build_config(self):\n return {\n \"input_value\": {\"display_name\": \"Input\"},\n \"max_tokens\": {\n \"display_name\": \"Max Tokens\",\n \"advanced\": True,\n },\n \"model_kwargs\": {\n \"display_name\": \"Model Kwargs\",\n \"advanced\": True,\n },\n \"model_name\": {\n \"display_name\": \"Model Name\",\n \"advanced\": False,\n \"options\": MODEL_NAMES,\n },\n \"openai_api_base\": {\n \"display_name\": \"OpenAI API Base\",\n \"advanced\": True,\n \"info\": (\n \"The base URL of the OpenAI API. Defaults to https://api.openai.com/v1.\\n\\n\"\n \"You can change this to use other APIs like JinaChat, LocalAI and Prem.\"\n ),\n },\n \"openai_api_key\": {\n \"display_name\": \"OpenAI API Key\",\n \"info\": \"The OpenAI API Key to use for the OpenAI model.\",\n \"advanced\": False,\n \"password\": True,\n },\n \"temperature\": {\n \"display_name\": \"Temperature\",\n \"advanced\": False,\n \"value\": 0.1,\n },\n \"stream\": {\n \"display_name\": \"Stream\",\n \"info\": STREAM_INFO_TEXT,\n \"advanced\": True,\n },\n \"system_message\": {\n \"display_name\": \"System Message\",\n \"info\": \"System message to pass to the model.\",\n \"advanced\": True,\n },\n }\n\n def build(\n self,\n input_value: Text,\n openai_api_key: str,\n temperature: float,\n model_name: str = \"gpt-4o\",\n max_tokens: Optional[int] = 256,\n model_kwargs: NestedDict = {},\n openai_api_base: Optional[str] = None,\n stream: bool = False,\n system_message: Optional[str] = None,\n ) -> Text:\n if not openai_api_base:\n openai_api_base = \"https://api.openai.com/v1\"\n if openai_api_key:\n api_key = SecretStr(openai_api_key)\n else:\n api_key = None\n\n output = ChatOpenAI(\n max_tokens=max_tokens,\n model_kwargs=model_kwargs,\n model=model_name,\n base_url=openai_api_base,\n api_key=api_key,\n temperature=temperature,\n )\n\n return self.get_chat_result(output, stream, input_value, system_message)\n", "fileTypes": [], "file_path": "", "password": false, @@ -935,7 +849,7 @@ }, "model_name": { "type": "str", - "required": true, + "required": false, "placeholder": "", "list": true, "show": true, @@ -945,14 +859,11 @@ "file_path": "", "password": false, "options": [ - "gpt-4-turbo-2024-04-09", + "gpt-4o", + "gpt-4-turbo", "gpt-4-turbo-preview", "gpt-3.5-turbo", - "gpt-4-0125-preview", - "gpt-4-1106-preview", - "gpt-4-vision-preview", - "gpt-3.5-turbo-0125", - "gpt-3.5-turbo-1106" + "gpt-3.5-turbo-0125" ], "name": "model_name", "display_name": "Model Name", @@ -961,9 +872,7 @@ "info": "", "load_from_db": false, "title_case": false, - "input_types": [ - "Text" - ] + "input_types": ["Text"] }, "openai_api_base": { "type": "str", @@ -982,9 +891,7 @@ "info": "The base URL of the OpenAI API. Defaults to https://api.openai.com/v1.\n\nYou can change this to use other APIs like JinaChat, LocalAI and Prem.", "load_from_db": false, "title_case": false, - "input_types": [ - "Text" - ] + "input_types": ["Text"] }, "openai_api_key": { "type": "str", @@ -1003,9 +910,7 @@ "info": "The OpenAI API Key to use for the OpenAI model.", "load_from_db": false, "title_case": false, - "input_types": [ - "Text" - ], + "input_types": ["Text"], "value": "" }, "stream": { @@ -1044,9 +949,7 @@ "info": "System message to pass to the model.", "load_from_db": false, "title_case": false, - "input_types": [ - "Text" - ] + "input_types": ["Text"] }, "temperature": { "type": "float", @@ -1077,11 +980,7 @@ }, "description": "Generates text using OpenAI LLMs.", "icon": "OpenAI", - "base_classes": [ - "str", - "Text", - "object" - ], + "base_classes": ["str", "Text", "object"], "display_name": "OpenAI", "documentation": "", "custom_fields": { @@ -1095,9 +994,7 @@ "stream": null, "system_message": null }, - "output_types": [ - "Text" - ], + "output_types": ["Text"], "field_formatters": {}, "frozen": false, "field_order": [ @@ -1149,10 +1046,7 @@ "name": "input_value", "display_name": "Value", "advanced": false, - "input_types": [ - "Record", - "Text" - ], + "input_types": ["Record", "Text"], "dynamic": false, "info": "Text or Record to be passed as output.", "load_from_db": false, @@ -1165,7 +1059,7 @@ "list": false, "show": true, "multiline": true, - "value": "from typing import Optional\n\nfrom langflow.base.io.text import TextComponent\nfrom langflow.field_typing import Text\n\n\nclass TextOutput(TextComponent):\n display_name = \"Text Output\"\n description = \"Display a text output in the Interaction Panel.\"\n icon = \"type\"\n\n def build_config(self):\n return {\n \"input_value\": {\n \"display_name\": \"Value\",\n \"input_types\": [\"Record\", \"Text\"],\n \"info\": \"Text or Record to be passed as output.\",\n },\n \"record_template\": {\n \"display_name\": \"Record Template\",\n \"multiline\": True,\n \"info\": \"Template to convert Record to Text. If left empty, it will be dynamically set to the Record's text key.\",\n \"advanced\": True,\n },\n }\n\n def build(self, input_value: Optional[Text] = \"\", record_template: str = \"\") -> Text:\n return super().build(input_value=input_value, record_template=record_template)\n", + "value": "from typing import Optional\n\nfrom langflow.base.io.text import TextComponent\nfrom langflow.field_typing import Text\n\n\nclass TextOutput(TextComponent):\n display_name = \"Text Output\"\n description = \"Display a text output in the Playground.\"\n icon = \"type\"\n\n def build_config(self):\n return {\n \"input_value\": {\n \"display_name\": \"Value\",\n \"input_types\": [\"Record\", \"Text\"],\n \"info\": \"Text or Record to be passed as output.\",\n },\n \"record_template\": {\n \"display_name\": \"Record Template\",\n \"multiline\": True,\n \"info\": \"Template to convert Record to Text. If left empty, it will be dynamically set to the Record's text key.\",\n \"advanced\": True,\n },\n }\n\n def build(self, input_value: Optional[Text] = \"\", record_template: str = \"\") -> Text:\n return super().build(input_value=input_value, record_template=record_template)\n", "fileTypes": [], "file_path": "", "password": false, @@ -1194,28 +1088,20 @@ "info": "Template to convert Record to Text. If left empty, it will be dynamically set to the Record's text key.", "load_from_db": false, "title_case": false, - "input_types": [ - "Text" - ] + "input_types": ["Text"] }, "_type": "CustomComponent" }, - "description": "Display a text output in the Interaction Panel.", + "description": "Display a text output in the Playground.", "icon": "type", - "base_classes": [ - "str", - "Text", - "object" - ], + "base_classes": ["str", "Text", "object"], "display_name": "Second Prompt", "documentation": "", "custom_fields": { "input_value": null, "record_template": null }, - "output_types": [ - "Text" - ], + "output_types": ["Text"], "field_formatters": {}, "frozen": false, "field_order": [], @@ -1260,9 +1146,7 @@ "info": "", "load_from_db": false, "title_case": false, - "input_types": [ - "Text" - ] + "input_types": ["Text"] }, "code": { "type": "code", @@ -1271,7 +1155,7 @@ "list": false, "show": true, "multiline": true, - "value": "from typing import Optional\n\nfrom langchain_openai import ChatOpenAI\nfrom pydantic.v1 import SecretStr\n\nfrom langflow.base.constants import STREAM_INFO_TEXT\nfrom langflow.base.models.model import LCModelComponent\nfrom langflow.field_typing import NestedDict, Text\n\n\nclass OpenAIModelComponent(LCModelComponent):\n display_name = \"OpenAI\"\n description = \"Generates text using OpenAI LLMs.\"\n icon = \"OpenAI\"\n\n field_order = [\n \"max_tokens\",\n \"model_kwargs\",\n \"model_name\",\n \"openai_api_base\",\n \"openai_api_key\",\n \"temperature\",\n \"input_value\",\n \"system_message\",\n \"stream\",\n ]\n\n def build_config(self):\n return {\n \"input_value\": {\"display_name\": \"Input\"},\n \"max_tokens\": {\n \"display_name\": \"Max Tokens\",\n \"advanced\": True,\n },\n \"model_kwargs\": {\n \"display_name\": \"Model Kwargs\",\n \"advanced\": True,\n },\n \"model_name\": {\n \"display_name\": \"Model Name\",\n \"advanced\": False,\n \"options\": [\n \"gpt-4-turbo-2024-04-09\",\n \"gpt-4-turbo-preview\",\n \"gpt-3.5-turbo\",\n \"gpt-4-0125-preview\",\n \"gpt-4-1106-preview\",\n \"gpt-4-vision-preview\",\n \"gpt-3.5-turbo-0125\",\n \"gpt-3.5-turbo-1106\",\n ],\n \"value\": \"gpt-4-turbo-preview\",\n },\n \"openai_api_base\": {\n \"display_name\": \"OpenAI API Base\",\n \"advanced\": True,\n \"info\": (\n \"The base URL of the OpenAI API. Defaults to https://api.openai.com/v1.\\n\\n\"\n \"You can change this to use other APIs like JinaChat, LocalAI and Prem.\"\n ),\n },\n \"openai_api_key\": {\n \"display_name\": \"OpenAI API Key\",\n \"info\": \"The OpenAI API Key to use for the OpenAI model.\",\n \"advanced\": False,\n \"password\": True,\n },\n \"temperature\": {\n \"display_name\": \"Temperature\",\n \"advanced\": False,\n \"value\": 0.1,\n },\n \"stream\": {\n \"display_name\": \"Stream\",\n \"info\": STREAM_INFO_TEXT,\n \"advanced\": True,\n },\n \"system_message\": {\n \"display_name\": \"System Message\",\n \"info\": \"System message to pass to the model.\",\n \"advanced\": True,\n },\n }\n\n def build(\n self,\n input_value: Text,\n openai_api_key: str,\n temperature: float,\n model_name: str,\n max_tokens: Optional[int] = 256,\n model_kwargs: NestedDict = {},\n openai_api_base: Optional[str] = None,\n stream: bool = False,\n system_message: Optional[str] = None,\n ) -> Text:\n if not openai_api_base:\n openai_api_base = \"https://api.openai.com/v1\"\n if openai_api_key:\n api_key = SecretStr(openai_api_key)\n else:\n api_key = None\n\n output = ChatOpenAI(\n max_tokens=max_tokens,\n model_kwargs=model_kwargs,\n model=model_name,\n base_url=openai_api_base,\n api_key=api_key,\n temperature=temperature,\n )\n\n return self.get_chat_result(output, stream, input_value, system_message)\n", + "value": "from typing import Optional\n\nfrom langchain_openai import ChatOpenAI\nfrom pydantic.v1 import SecretStr\n\nfrom langflow.base.constants import STREAM_INFO_TEXT\nfrom langflow.base.models.model import LCModelComponent\nfrom langflow.base.models.openai_constants import MODEL_NAMES\nfrom langflow.field_typing import NestedDict, Text\n\n\nclass OpenAIModelComponent(LCModelComponent):\n display_name = \"OpenAI\"\n description = \"Generates text using OpenAI LLMs.\"\n icon = \"OpenAI\"\n\n field_order = [\n \"max_tokens\",\n \"model_kwargs\",\n \"model_name\",\n \"openai_api_base\",\n \"openai_api_key\",\n \"temperature\",\n \"input_value\",\n \"system_message\",\n \"stream\",\n ]\n\n def build_config(self):\n return {\n \"input_value\": {\"display_name\": \"Input\"},\n \"max_tokens\": {\n \"display_name\": \"Max Tokens\",\n \"advanced\": True,\n },\n \"model_kwargs\": {\n \"display_name\": \"Model Kwargs\",\n \"advanced\": True,\n },\n \"model_name\": {\n \"display_name\": \"Model Name\",\n \"advanced\": False,\n \"options\": MODEL_NAMES,\n },\n \"openai_api_base\": {\n \"display_name\": \"OpenAI API Base\",\n \"advanced\": True,\n \"info\": (\n \"The base URL of the OpenAI API. Defaults to https://api.openai.com/v1.\\n\\n\"\n \"You can change this to use other APIs like JinaChat, LocalAI and Prem.\"\n ),\n },\n \"openai_api_key\": {\n \"display_name\": \"OpenAI API Key\",\n \"info\": \"The OpenAI API Key to use for the OpenAI model.\",\n \"advanced\": False,\n \"password\": True,\n },\n \"temperature\": {\n \"display_name\": \"Temperature\",\n \"advanced\": False,\n \"value\": 0.1,\n },\n \"stream\": {\n \"display_name\": \"Stream\",\n \"info\": STREAM_INFO_TEXT,\n \"advanced\": True,\n },\n \"system_message\": {\n \"display_name\": \"System Message\",\n \"info\": \"System message to pass to the model.\",\n \"advanced\": True,\n },\n }\n\n def build(\n self,\n input_value: Text,\n openai_api_key: str,\n temperature: float,\n model_name: str = \"gpt-4o\",\n max_tokens: Optional[int] = 256,\n model_kwargs: NestedDict = {},\n openai_api_base: Optional[str] = None,\n stream: bool = False,\n system_message: Optional[str] = None,\n ) -> Text:\n if not openai_api_base:\n openai_api_base = \"https://api.openai.com/v1\"\n if openai_api_key:\n api_key = SecretStr(openai_api_key)\n else:\n api_key = None\n\n output = ChatOpenAI(\n max_tokens=max_tokens,\n model_kwargs=model_kwargs,\n model=model_name,\n base_url=openai_api_base,\n api_key=api_key,\n temperature=temperature,\n )\n\n return self.get_chat_result(output, stream, input_value, system_message)\n", "fileTypes": [], "file_path": "", "password": false, @@ -1322,7 +1206,7 @@ }, "model_name": { "type": "str", - "required": true, + "required": false, "placeholder": "", "list": true, "show": true, @@ -1332,14 +1216,11 @@ "file_path": "", "password": false, "options": [ - "gpt-4-turbo-2024-04-09", + "gpt-4o", + "gpt-4-turbo", "gpt-4-turbo-preview", "gpt-3.5-turbo", - "gpt-4-0125-preview", - "gpt-4-1106-preview", - "gpt-4-vision-preview", - "gpt-3.5-turbo-0125", - "gpt-3.5-turbo-1106" + "gpt-3.5-turbo-0125" ], "name": "model_name", "display_name": "Model Name", @@ -1348,9 +1229,7 @@ "info": "", "load_from_db": false, "title_case": false, - "input_types": [ - "Text" - ] + "input_types": ["Text"] }, "openai_api_base": { "type": "str", @@ -1369,9 +1248,7 @@ "info": "The base URL of the OpenAI API. Defaults to https://api.openai.com/v1.\n\nYou can change this to use other APIs like JinaChat, LocalAI and Prem.", "load_from_db": false, "title_case": false, - "input_types": [ - "Text" - ] + "input_types": ["Text"] }, "openai_api_key": { "type": "str", @@ -1390,9 +1267,7 @@ "info": "The OpenAI API Key to use for the OpenAI model.", "load_from_db": false, "title_case": false, - "input_types": [ - "Text" - ], + "input_types": ["Text"], "value": "" }, "stream": { @@ -1431,9 +1306,7 @@ "info": "System message to pass to the model.", "load_from_db": false, "title_case": false, - "input_types": [ - "Text" - ] + "input_types": ["Text"] }, "temperature": { "type": "float", @@ -1464,11 +1337,7 @@ }, "description": "Generates text using OpenAI LLMs.", "icon": "OpenAI", - "base_classes": [ - "str", - "Text", - "object" - ], + "base_classes": ["str", "Text", "object"], "display_name": "OpenAI", "documentation": "", "custom_fields": { @@ -1482,9 +1351,7 @@ "stream": null, "system_message": null }, - "output_types": [ - "Text" - ], + "output_types": ["Text"], "field_formatters": {}, "frozen": false, "field_order": [ @@ -1522,20 +1389,11 @@ "targetHandle": { "fieldName": "document", "id": "Prompt-amqBu", - "inputTypes": [ - "Document", - "BaseOutputParser", - "Record", - "Text" - ], + "inputTypes": ["Document", "BaseOutputParser", "Record", "Text"], "type": "str" }, "sourceHandle": { - "baseClasses": [ - "str", - "Text", - "object" - ], + "baseClasses": ["str", "Text", "object"], "dataType": "TextInput", "id": "TextInput-sptaH" } @@ -1555,18 +1413,11 @@ "targetHandle": { "fieldName": "input_value", "id": "TextOutput-2MS4a", - "inputTypes": [ - "Record", - "Text" - ], + "inputTypes": ["Record", "Text"], "type": "str" }, "sourceHandle": { - "baseClasses": [ - "object", - "str", - "Text" - ], + "baseClasses": ["object", "str", "Text"], "dataType": "Prompt", "id": "Prompt-amqBu" } @@ -1586,17 +1437,11 @@ "targetHandle": { "fieldName": "input_value", "id": "OpenAIModel-uYXZJ", - "inputTypes": [ - "Text" - ], + "inputTypes": ["Text"], "type": "str" }, "sourceHandle": { - "baseClasses": [ - "object", - "str", - "Text" - ], + "baseClasses": ["object", "str", "Text"], "dataType": "Prompt", "id": "Prompt-amqBu" } @@ -1616,20 +1461,11 @@ "targetHandle": { "fieldName": "summary", "id": "Prompt-gTNiz", - "inputTypes": [ - "Document", - "BaseOutputParser", - "Record", - "Text" - ], + "inputTypes": ["Document", "BaseOutputParser", "Record", "Text"], "type": "str" }, "sourceHandle": { - "baseClasses": [ - "str", - "Text", - "object" - ], + "baseClasses": ["str", "Text", "object"], "dataType": "OpenAIModel", "id": "OpenAIModel-uYXZJ" } @@ -1649,17 +1485,11 @@ "targetHandle": { "fieldName": "input_value", "id": "ChatOutput-EJkG3", - "inputTypes": [ - "Text" - ], + "inputTypes": ["Text"], "type": "str" }, "sourceHandle": { - "baseClasses": [ - "str", - "Text", - "object" - ], + "baseClasses": ["str", "Text", "object"], "dataType": "OpenAIModel", "id": "OpenAIModel-uYXZJ" } @@ -1679,18 +1509,11 @@ "targetHandle": { "fieldName": "input_value", "id": "TextOutput-MUDOR", - "inputTypes": [ - "Record", - "Text" - ], + "inputTypes": ["Record", "Text"], "type": "str" }, "sourceHandle": { - "baseClasses": [ - "object", - "str", - "Text" - ], + "baseClasses": ["object", "str", "Text"], "dataType": "Prompt", "id": "Prompt-gTNiz" } @@ -1710,17 +1533,11 @@ "targetHandle": { "fieldName": "input_value", "id": "OpenAIModel-XawYB", - "inputTypes": [ - "Text" - ], + "inputTypes": ["Text"], "type": "str" }, "sourceHandle": { - "baseClasses": [ - "object", - "str", - "Text" - ], + "baseClasses": ["object", "str", "Text"], "dataType": "Prompt", "id": "Prompt-gTNiz" } @@ -1740,17 +1557,11 @@ "targetHandle": { "fieldName": "input_value", "id": "ChatOutput-DNmvg", - "inputTypes": [ - "Text" - ], + "inputTypes": ["Text"], "type": "str" }, "sourceHandle": { - "baseClasses": [ - "str", - "Text", - "object" - ], + "baseClasses": ["str", "Text", "object"], "dataType": "OpenAIModel", "id": "OpenAIModel-XawYB" } @@ -1772,4 +1583,4 @@ "name": "Prompt Chaining", "last_tested_version": "1.0.0a0", "is_component": false -} \ No newline at end of file +} diff --git a/src/backend/base/langflow/initial_setup/starter_projects/VectorStore-RAG-Flows.json b/src/backend/base/langflow/initial_setup/starter_projects/VectorStore-RAG-Flows.json index 15d0f7efc..e13a206c9 100644 --- a/src/backend/base/langflow/initial_setup/starter_projects/VectorStore-RAG-Flows.json +++ b/src/backend/base/langflow/initial_setup/starter_projects/VectorStore-RAG-Flows.json @@ -20,7 +20,7 @@ "list": false, "show": true, "multiline": true, - "value": "from typing import Optional, Union\n\nfrom langflow.base.io.chat import ChatComponent\nfrom langflow.field_typing import Text\nfrom langflow.schema import Record\n\n\nclass ChatInput(ChatComponent):\n display_name = \"Chat Input\"\n description = \"Get chat inputs from the Interaction Panel.\"\n icon = \"ChatInput\"\n\n def build_config(self):\n build_config = super().build_config()\n build_config[\"input_value\"] = {\n \"input_types\": [],\n \"display_name\": \"Message\",\n \"multiline\": True,\n }\n\n return build_config\n\n def build(\n self,\n sender: Optional[str] = \"User\",\n sender_name: Optional[str] = \"User\",\n input_value: Optional[str] = None,\n files: Optional[list[str]] = None,\n session_id: Optional[str] = None,\n return_record: Optional[bool] = False,\n ) -> Union[Text, Record]:\n return super().build_no_record(\n sender=sender,\n sender_name=sender_name,\n input_value=input_value,\n files=files,\n session_id=session_id,\n return_record=return_record,\n )\n", + "value": "from typing import Optional, Union\n\nfrom langflow.base.io.chat import ChatComponent\nfrom langflow.field_typing import Text\nfrom langflow.schema import Record\n\n\nclass ChatInput(ChatComponent):\n display_name = \"Chat Input\"\n description = \"Get chat inputs from the Playground.\"\n icon = \"ChatInput\"\n\n def build_config(self):\n build_config = super().build_config()\n build_config[\"input_value\"] = {\n \"input_types\": [],\n \"display_name\": \"Message\",\n \"multiline\": True,\n }\n\n return build_config\n\n def build(\n self,\n sender: Optional[str] = \"User\",\n sender_name: Optional[str] = \"User\",\n input_value: Optional[str] = None,\n session_id: Optional[str] = None,\n return_record: Optional[bool] = False,\n ) -> Union[Text, Record]:\n return super().build_no_record(\n sender=sender,\n sender_name=sender_name,\n input_value=input_value,\n session_id=session_id,\n return_record=return_record,\n )\n", "fileTypes": [], "file_path": "", "password": false, @@ -81,10 +81,7 @@ "fileTypes": [], "file_path": "", "password": false, - "options": [ - "Machine", - "User" - ], + "options": ["Machine", "User"], "name": "sender", "display_name": "Sender Type", "advanced": true, @@ -92,9 +89,7 @@ "info": "", "load_from_db": false, "title_case": false, - "input_types": [ - "Text" - ] + "input_types": ["Text"] }, "sender_name": { "type": "str", @@ -114,9 +109,7 @@ "info": "", "load_from_db": false, "title_case": false, - "input_types": [ - "Text" - ] + "input_types": ["Text"] }, "session_id": { "type": "str", @@ -135,20 +128,13 @@ "info": "If provided, the message will be stored in the memory.", "load_from_db": false, "title_case": false, - "input_types": [ - "Text" - ] + "input_types": ["Text"] }, "_type": "CustomComponent" }, - "description": "Get chat inputs from the Interaction Panel.", + "description": "Get chat inputs from the Playground.", "icon": "ChatInput", - "base_classes": [ - "Text", - "str", - "object", - "Record" - ], + "base_classes": ["Text", "str", "object", "Record"], "display_name": "Chat Input", "documentation": "", "custom_fields": { @@ -158,10 +144,7 @@ "session_id": null, "return_record": null }, - "output_types": [ - "Text", - "Record" - ], + "output_types": ["Text", "Record"], "field_formatters": {}, "frozen": false, "field_order": [], @@ -198,10 +181,7 @@ "name": "input_value", "display_name": "Value", "advanced": false, - "input_types": [ - "Record", - "Text" - ], + "input_types": ["Record", "Text"], "dynamic": false, "info": "Text or Record to be passed as output.", "load_from_db": false, @@ -214,7 +194,7 @@ "list": false, "show": true, "multiline": true, - "value": "from typing import Optional\n\nfrom langflow.base.io.text import TextComponent\nfrom langflow.field_typing import Text\n\n\nclass TextOutput(TextComponent):\n display_name = \"Text Output\"\n description = \"Display a text output in the Interaction Panel.\"\n icon = \"type\"\n\n def build_config(self):\n return {\n \"input_value\": {\n \"display_name\": \"Value\",\n \"input_types\": [\"Record\", \"Text\"],\n \"info\": \"Text or Record to be passed as output.\",\n },\n \"record_template\": {\n \"display_name\": \"Record Template\",\n \"multiline\": True,\n \"info\": \"Template to convert Record to Text. If left empty, it will be dynamically set to the Record's text key.\",\n \"advanced\": True,\n },\n }\n\n def build(self, input_value: Optional[Text] = \"\", record_template: str = \"\") -> Text:\n return super().build(input_value=input_value, record_template=record_template)\n", + "value": "from typing import Optional\n\nfrom langflow.base.io.text import TextComponent\nfrom langflow.field_typing import Text\n\n\nclass TextOutput(TextComponent):\n display_name = \"Text Output\"\n description = \"Display a text output in the Playground.\"\n icon = \"type\"\n\n def build_config(self):\n return {\n \"input_value\": {\n \"display_name\": \"Value\",\n \"input_types\": [\"Record\", \"Text\"],\n \"info\": \"Text or Record to be passed as output.\",\n },\n \"record_template\": {\n \"display_name\": \"Record Template\",\n \"multiline\": True,\n \"info\": \"Template to convert Record to Text. If left empty, it will be dynamically set to the Record's text key.\",\n \"advanced\": True,\n },\n }\n\n def build(self, input_value: Optional[Text] = \"\", record_template: str = \"\") -> Text:\n return super().build(input_value=input_value, record_template=record_template)\n", "fileTypes": [], "file_path": "", "password": false, @@ -243,28 +223,20 @@ "info": "Template to convert Record to Text. If left empty, it will be dynamically set to the Record's text key.", "load_from_db": false, "title_case": false, - "input_types": [ - "Text" - ] + "input_types": ["Text"] }, "_type": "CustomComponent" }, - "description": "Display a text output in the Interaction Panel.", + "description": "Display a text output in the Playground.", "icon": "type", - "base_classes": [ - "object", - "Text", - "str" - ], + "base_classes": ["object", "Text", "str"], "display_name": "Extracted Chunks", "documentation": "", "custom_fields": { "input_value": null, "record_template": null }, - "output_types": [ - "Text" - ], + "output_types": ["Text"], "field_formatters": {}, "frozen": false, "field_order": [], @@ -310,9 +282,7 @@ "info": "", "load_from_db": false, "title_case": false, - "input_types": [ - "Text" - ] + "input_types": ["Text"] }, "chunk_size": { "type": "int", @@ -424,9 +394,7 @@ "info": "", "load_from_db": false, "title_case": false, - "input_types": [ - "Text" - ] + "input_types": ["Text"] }, "disallowed_special": { "type": "str", @@ -435,9 +403,7 @@ "list": false, "show": true, "multiline": false, - "value": [ - "all" - ], + "value": ["all"], "fileTypes": [], "file_path": "", "password": false, @@ -448,9 +414,7 @@ "info": "", "load_from_db": false, "title_case": false, - "input_types": [ - "Text" - ] + "input_types": ["Text"] }, "embedding_ctx_length": { "type": "int", @@ -513,9 +477,7 @@ "info": "", "load_from_db": false, "title_case": false, - "input_types": [ - "Text" - ] + "input_types": ["Text"] }, "model_kwargs": { "type": "NestedDict", @@ -553,9 +515,7 @@ "info": "", "load_from_db": false, "title_case": false, - "input_types": [ - "Text" - ] + "input_types": ["Text"] }, "openai_api_key": { "type": "str", @@ -574,9 +534,7 @@ "info": "", "load_from_db": false, "title_case": false, - "input_types": [ - "Text" - ], + "input_types": ["Text"], "value": "" }, "openai_api_type": { @@ -596,9 +554,7 @@ "info": "", "load_from_db": false, "title_case": false, - "input_types": [ - "Text" - ] + "input_types": ["Text"] }, "openai_api_version": { "type": "str", @@ -617,9 +573,7 @@ "info": "", "load_from_db": false, "title_case": false, - "input_types": [ - "Text" - ] + "input_types": ["Text"] }, "openai_organization": { "type": "str", @@ -638,9 +592,7 @@ "info": "", "load_from_db": false, "title_case": false, - "input_types": [ - "Text" - ] + "input_types": ["Text"] }, "openai_proxy": { "type": "str", @@ -659,9 +611,7 @@ "info": "", "load_from_db": false, "title_case": false, - "input_types": [ - "Text" - ] + "input_types": ["Text"] }, "request_timeout": { "type": "float", @@ -761,16 +711,12 @@ "info": "", "load_from_db": false, "title_case": false, - "input_types": [ - "Text" - ] + "input_types": ["Text"] }, "_type": "CustomComponent" }, "description": "Generate embeddings using OpenAI models.", - "base_classes": [ - "Embeddings" - ], + "base_classes": ["Embeddings"], "display_name": "OpenAI Embeddings", "documentation": "", "custom_fields": { @@ -797,9 +743,7 @@ "tiktoken_enable": null, "tiktoken_model_name": null }, - "output_types": [ - "Embeddings" - ], + "output_types": ["Embeddings"], "field_formatters": {}, "frozen": false, "field_order": [], @@ -840,9 +784,7 @@ "info": "", "load_from_db": false, "title_case": false, - "input_types": [ - "Text" - ] + "input_types": ["Text"] }, "code": { "type": "code", @@ -851,7 +793,7 @@ "list": false, "show": true, "multiline": true, - "value": "from typing import Optional\n\nfrom langchain_openai import ChatOpenAI\nfrom pydantic.v1 import SecretStr\n\nfrom langflow.base.constants import STREAM_INFO_TEXT\nfrom langflow.base.models.model import LCModelComponent\nfrom langflow.field_typing import NestedDict, Text\n\n\nclass OpenAIModelComponent(LCModelComponent):\n display_name = \"OpenAI\"\n description = \"Generates text using OpenAI LLMs.\"\n icon = \"OpenAI\"\n\n field_order = [\n \"max_tokens\",\n \"model_kwargs\",\n \"model_name\",\n \"openai_api_base\",\n \"openai_api_key\",\n \"temperature\",\n \"input_value\",\n \"system_message\",\n \"stream\",\n ]\n\n def build_config(self):\n return {\n \"input_value\": {\"display_name\": \"Input\"},\n \"max_tokens\": {\n \"display_name\": \"Max Tokens\",\n \"advanced\": True,\n },\n \"model_kwargs\": {\n \"display_name\": \"Model Kwargs\",\n \"advanced\": True,\n },\n \"model_name\": {\n \"display_name\": \"Model Name\",\n \"advanced\": False,\n \"options\": [\n \"gpt-4-turbo-2024-04-09\",\n \"gpt-4-turbo-preview\",\n \"gpt-3.5-turbo\",\n \"gpt-4-0125-preview\",\n \"gpt-4-1106-preview\",\n \"gpt-4-vision-preview\",\n \"gpt-3.5-turbo-0125\",\n \"gpt-3.5-turbo-1106\",\n ],\n \"value\": \"gpt-4-turbo-preview\",\n },\n \"openai_api_base\": {\n \"display_name\": \"OpenAI API Base\",\n \"advanced\": True,\n \"info\": (\n \"The base URL of the OpenAI API. Defaults to https://api.openai.com/v1.\\n\\n\"\n \"You can change this to use other APIs like JinaChat, LocalAI and Prem.\"\n ),\n },\n \"openai_api_key\": {\n \"display_name\": \"OpenAI API Key\",\n \"info\": \"The OpenAI API Key to use for the OpenAI model.\",\n \"advanced\": False,\n \"password\": True,\n },\n \"temperature\": {\n \"display_name\": \"Temperature\",\n \"advanced\": False,\n \"value\": 0.1,\n },\n \"stream\": {\n \"display_name\": \"Stream\",\n \"info\": STREAM_INFO_TEXT,\n \"advanced\": True,\n },\n \"system_message\": {\n \"display_name\": \"System Message\",\n \"info\": \"System message to pass to the model.\",\n \"advanced\": True,\n },\n }\n\n def build(\n self,\n input_value: Text,\n openai_api_key: str,\n temperature: float,\n model_name: str,\n max_tokens: Optional[int] = 256,\n model_kwargs: NestedDict = {},\n openai_api_base: Optional[str] = None,\n stream: bool = False,\n system_message: Optional[str] = None,\n ) -> Text:\n if not openai_api_base:\n openai_api_base = \"https://api.openai.com/v1\"\n if openai_api_key:\n api_key = SecretStr(openai_api_key)\n else:\n api_key = None\n\n output = ChatOpenAI(\n max_tokens=max_tokens,\n model_kwargs=model_kwargs,\n model=model_name,\n base_url=openai_api_base,\n api_key=api_key,\n temperature=temperature,\n )\n\n return self.get_chat_result(output, stream, input_value, system_message)\n", + "value": "from typing import Optional\n\nfrom langchain_openai import ChatOpenAI\nfrom pydantic.v1 import SecretStr\n\nfrom langflow.base.constants import STREAM_INFO_TEXT\nfrom langflow.base.models.model import LCModelComponent\nfrom langflow.base.models.openai_constants import MODEL_NAMES\nfrom langflow.field_typing import NestedDict, Text\n\n\nclass OpenAIModelComponent(LCModelComponent):\n display_name = \"OpenAI\"\n description = \"Generates text using OpenAI LLMs.\"\n icon = \"OpenAI\"\n\n field_order = [\n \"max_tokens\",\n \"model_kwargs\",\n \"model_name\",\n \"openai_api_base\",\n \"openai_api_key\",\n \"temperature\",\n \"input_value\",\n \"system_message\",\n \"stream\",\n ]\n\n def build_config(self):\n return {\n \"input_value\": {\"display_name\": \"Input\"},\n \"max_tokens\": {\n \"display_name\": \"Max Tokens\",\n \"advanced\": True,\n },\n \"model_kwargs\": {\n \"display_name\": \"Model Kwargs\",\n \"advanced\": True,\n },\n \"model_name\": {\n \"display_name\": \"Model Name\",\n \"advanced\": False,\n \"options\": MODEL_NAMES,\n },\n \"openai_api_base\": {\n \"display_name\": \"OpenAI API Base\",\n \"advanced\": True,\n \"info\": (\n \"The base URL of the OpenAI API. Defaults to https://api.openai.com/v1.\\n\\n\"\n \"You can change this to use other APIs like JinaChat, LocalAI and Prem.\"\n ),\n },\n \"openai_api_key\": {\n \"display_name\": \"OpenAI API Key\",\n \"info\": \"The OpenAI API Key to use for the OpenAI model.\",\n \"advanced\": False,\n \"password\": True,\n },\n \"temperature\": {\n \"display_name\": \"Temperature\",\n \"advanced\": False,\n \"value\": 0.1,\n },\n \"stream\": {\n \"display_name\": \"Stream\",\n \"info\": STREAM_INFO_TEXT,\n \"advanced\": True,\n },\n \"system_message\": {\n \"display_name\": \"System Message\",\n \"info\": \"System message to pass to the model.\",\n \"advanced\": True,\n },\n }\n\n def build(\n self,\n input_value: Text,\n openai_api_key: str,\n temperature: float,\n model_name: str = \"gpt-4o\",\n max_tokens: Optional[int] = 256,\n model_kwargs: NestedDict = {},\n openai_api_base: Optional[str] = None,\n stream: bool = False,\n system_message: Optional[str] = None,\n ) -> Text:\n if not openai_api_base:\n openai_api_base = \"https://api.openai.com/v1\"\n if openai_api_key:\n api_key = SecretStr(openai_api_key)\n else:\n api_key = None\n\n output = ChatOpenAI(\n max_tokens=max_tokens,\n model_kwargs=model_kwargs,\n model=model_name,\n base_url=openai_api_base,\n api_key=api_key,\n temperature=temperature,\n )\n\n return self.get_chat_result(output, stream, input_value, system_message)\n", "fileTypes": [], "file_path": "", "password": false, @@ -902,7 +844,7 @@ }, "model_name": { "type": "str", - "required": true, + "required": false, "placeholder": "", "list": true, "show": true, @@ -912,14 +854,11 @@ "file_path": "", "password": false, "options": [ - "gpt-4-turbo-2024-04-09", + "gpt-4o", + "gpt-4-turbo", "gpt-4-turbo-preview", "gpt-3.5-turbo", - "gpt-4-0125-preview", - "gpt-4-1106-preview", - "gpt-4-vision-preview", - "gpt-3.5-turbo-0125", - "gpt-3.5-turbo-1106" + "gpt-3.5-turbo-0125" ], "name": "model_name", "display_name": "Model Name", @@ -928,9 +867,7 @@ "info": "", "load_from_db": false, "title_case": false, - "input_types": [ - "Text" - ] + "input_types": ["Text"] }, "openai_api_base": { "type": "str", @@ -949,9 +886,7 @@ "info": "The base URL of the OpenAI API. Defaults to https://api.openai.com/v1.\n\nYou can change this to use other APIs like JinaChat, LocalAI and Prem.", "load_from_db": false, "title_case": false, - "input_types": [ - "Text" - ] + "input_types": ["Text"] }, "openai_api_key": { "type": "str", @@ -970,9 +905,7 @@ "info": "The OpenAI API Key to use for the OpenAI model.", "load_from_db": false, "title_case": false, - "input_types": [ - "Text" - ], + "input_types": ["Text"], "value": "" }, "stream": { @@ -1011,9 +944,7 @@ "info": "System message to pass to the model.", "load_from_db": false, "title_case": false, - "input_types": [ - "Text" - ] + "input_types": ["Text"] }, "temperature": { "type": "float", @@ -1044,11 +975,7 @@ }, "description": "Generates text using OpenAI LLMs.", "icon": "OpenAI", - "base_classes": [ - "object", - "Text", - "str" - ], + "base_classes": ["object", "Text", "str"], "display_name": "OpenAI", "documentation": "", "custom_fields": { @@ -1062,9 +989,7 @@ "stream": null, "system_message": null }, - "output_types": [ - "Text" - ], + "output_types": ["Text"], "field_formatters": {}, "frozen": false, "field_order": [ @@ -1134,9 +1059,7 @@ "name": "template", "display_name": "Template", "advanced": false, - "input_types": [ - "Text" - ], + "input_types": ["Text"], "dynamic": false, "info": "", "load_from_db": false, @@ -1201,23 +1124,14 @@ "is_input": null, "is_output": null, "is_composition": null, - "base_classes": [ - "object", - "Text", - "str" - ], + "base_classes": ["object", "Text", "str"], "name": "", "display_name": "Prompt", "documentation": "", "custom_fields": { - "template": [ - "context", - "question" - ] + "template": ["context", "question"] }, - "output_types": [ - "Text" - ], + "output_types": ["Text"], "full_path": null, "field_formatters": {}, "frozen": false, @@ -1256,7 +1170,7 @@ "list": false, "show": true, "multiline": true, - "value": "from typing import Optional, Union\n\nfrom langflow.base.io.chat import ChatComponent\nfrom langflow.field_typing import Text\nfrom langflow.schema import Record\n\n\nclass ChatOutput(ChatComponent):\n display_name = \"Chat Output\"\n description = \"Display a chat message in the Interaction Panel.\"\n icon = \"ChatOutput\"\n\n def build(\n self,\n sender: Optional[str] = \"Machine\",\n sender_name: Optional[str] = \"AI\",\n input_value: Optional[str] = None,\n session_id: Optional[str] = None,\n return_record: Optional[bool] = False,\n record_template: Optional[str] = \"{text}\",\n files: Optional[list[str]] = None,\n ) -> Union[Text, Record]:\n return super().build_with_record(\n sender=sender,\n sender_name=sender_name,\n input_value=input_value,\n session_id=session_id,\n return_record=return_record,\n record_template=record_template or \"\",\n files=files,\n )\n", + "value": "from typing import Optional, Union\n\nfrom langflow.base.io.chat import ChatComponent\nfrom langflow.field_typing import Text\nfrom langflow.schema import Record\n\n\nclass ChatOutput(ChatComponent):\n display_name = \"Chat Output\"\n description = \"Display a chat message in the Playground.\"\n icon = \"ChatOutput\"\n\n def build(\n self,\n sender: Optional[str] = \"Machine\",\n sender_name: Optional[str] = \"AI\",\n input_value: Optional[str] = None,\n session_id: Optional[str] = None,\n return_record: Optional[bool] = False,\n record_template: Optional[str] = \"{text}\",\n ) -> Union[Text, Record]:\n return super().build_with_record(\n sender=sender,\n sender_name=sender_name,\n input_value=input_value,\n session_id=session_id,\n return_record=return_record,\n record_template=record_template or \"\",\n )\n", "fileTypes": [], "file_path": "", "password": false, @@ -1280,9 +1194,7 @@ "name": "input_value", "display_name": "Message", "advanced": false, - "input_types": [ - "Text" - ], + "input_types": ["Text"], "dynamic": false, "info": "", "load_from_db": false, @@ -1306,9 +1218,7 @@ "info": "In case of Message being a Record, this template will be used to convert it to text.", "load_from_db": false, "title_case": false, - "input_types": [ - "Text" - ] + "input_types": ["Text"] }, "return_record": { "type": "bool", @@ -1340,10 +1250,7 @@ "fileTypes": [], "file_path": "", "password": false, - "options": [ - "Machine", - "User" - ], + "options": ["Machine", "User"], "name": "sender", "display_name": "Sender Type", "advanced": true, @@ -1351,9 +1258,7 @@ "info": "", "load_from_db": false, "title_case": false, - "input_types": [ - "Text" - ] + "input_types": ["Text"] }, "sender_name": { "type": "str", @@ -1373,9 +1278,7 @@ "info": "", "load_from_db": false, "title_case": false, - "input_types": [ - "Text" - ] + "input_types": ["Text"] }, "session_id": { "type": "str", @@ -1394,20 +1297,13 @@ "info": "If provided, the message will be stored in the memory.", "load_from_db": false, "title_case": false, - "input_types": [ - "Text" - ] + "input_types": ["Text"] }, "_type": "CustomComponent" }, - "description": "Display a chat message in the Interaction Panel.", + "description": "Display a chat message in the Playground.", "icon": "ChatOutput", - "base_classes": [ - "object", - "Text", - "Record", - "str" - ], + "base_classes": ["object", "Text", "Record", "str"], "display_name": "Chat Output", "documentation": "", "custom_fields": { @@ -1418,10 +1314,7 @@ "return_record": null, "record_template": null }, - "output_types": [ - "Text", - "Record" - ], + "output_types": ["Text", "Record"], "field_formatters": {}, "frozen": false, "field_order": [], @@ -1528,18 +1421,14 @@ }, "description": "A generic file loader.", "icon": "file-text", - "base_classes": [ - "Record" - ], + "base_classes": ["Record"], "display_name": "File", "documentation": "", "custom_fields": { "path": null, "silent_errors": null }, - "output_types": [ - "Record" - ], + "output_types": ["Record"], "field_formatters": {}, "frozen": false, "field_order": [], @@ -1580,10 +1469,7 @@ "name": "inputs", "display_name": "Input", "advanced": false, - "input_types": [ - "Document", - "Record" - ], + "input_types": ["Document", "Record"], "dynamic": false, "info": "The texts to split.", "load_from_db": false, @@ -1662,19 +1548,13 @@ "info": "The characters to split on.\nIf left empty defaults to [\"\\n\\n\", \"\\n\", \" \", \"\"].", "load_from_db": false, "title_case": false, - "input_types": [ - "Text" - ], - "value": [ - "" - ] + "input_types": ["Text"], + "value": [""] }, "_type": "CustomComponent" }, "description": "Split text into chunks of a specified length.", - "base_classes": [ - "Record" - ], + "base_classes": ["Record"], "display_name": "Recursive Character Text Splitter", "documentation": "https://docs.langflow.org/components/text-splitters#recursivecharactertextsplitter", "custom_fields": { @@ -1683,9 +1563,7 @@ "chunk_size": null, "chunk_overlap": null }, - "output_types": [ - "Record" - ], + "output_types": ["Record"], "field_formatters": {}, "frozen": false, "field_order": [], @@ -1748,9 +1626,7 @@ "info": "Input value to search", "load_from_db": false, "title_case": false, - "input_types": [ - "Text" - ] + "input_types": ["Text"] }, "api_endpoint": { "type": "str", @@ -1769,9 +1645,7 @@ "info": "API endpoint URL for the Astra DB service.", "load_from_db": false, "title_case": false, - "input_types": [ - "Text" - ], + "input_types": ["Text"], "value": "" }, "batch_size": { @@ -1899,9 +1773,7 @@ "info": "The name of the collection within Astra DB where the vectors will be stored.", "load_from_db": false, "title_case": false, - "input_types": [ - "Text" - ], + "input_types": ["Text"], "value": "langflow" }, "metadata_indexing_exclude": { @@ -1921,9 +1793,7 @@ "info": "Optional list of metadata fields to exclude from the indexing.", "load_from_db": false, "title_case": false, - "input_types": [ - "Text" - ] + "input_types": ["Text"] }, "metadata_indexing_include": { "type": "str", @@ -1942,9 +1812,7 @@ "info": "Optional list of metadata fields to include in the indexing.", "load_from_db": false, "title_case": false, - "input_types": [ - "Text" - ] + "input_types": ["Text"] }, "metric": { "type": "str", @@ -1963,9 +1831,7 @@ "info": "Optional distance metric for vector comparisons in the vector store.", "load_from_db": false, "title_case": false, - "input_types": [ - "Text" - ] + "input_types": ["Text"] }, "namespace": { "type": "str", @@ -1984,9 +1850,7 @@ "info": "Optional namespace within Astra DB to use for the collection.", "load_from_db": false, "title_case": false, - "input_types": [ - "Text" - ] + "input_types": ["Text"] }, "number_of_results": { "type": "int", @@ -2037,10 +1901,7 @@ "fileTypes": [], "file_path": "", "password": false, - "options": [ - "Similarity", - "MMR" - ], + "options": ["Similarity", "MMR"], "name": "search_type", "display_name": "Search Type", "advanced": false, @@ -2048,9 +1909,7 @@ "info": "", "load_from_db": false, "title_case": false, - "input_types": [ - "Text" - ] + "input_types": ["Text"] }, "setup_mode": { "type": "str", @@ -2063,11 +1922,7 @@ "fileTypes": [], "file_path": "", "password": false, - "options": [ - "Sync", - "Async", - "Off" - ], + "options": ["Sync", "Async", "Off"], "name": "setup_mode", "display_name": "Setup Mode", "advanced": true, @@ -2075,9 +1930,7 @@ "info": "Configuration mode for setting up the vector store, with options like “Sync”, “Async”, or “Off”.", "load_from_db": false, "title_case": false, - "input_types": [ - "Text" - ] + "input_types": ["Text"] }, "token": { "type": "str", @@ -2096,18 +1949,14 @@ "info": "Authentication token for accessing Astra DB.", "load_from_db": false, "title_case": false, - "input_types": [ - "Text" - ], + "input_types": ["Text"], "value": "" }, "_type": "CustomComponent" }, "description": "Searches an existing Astra DB Vector Store.", "icon": "AstraDB", - "base_classes": [ - "Record" - ], + "base_classes": ["Record"], "display_name": "Astra DB Search", "documentation": "", "custom_fields": { @@ -2130,9 +1979,7 @@ "metadata_indexing_exclude": null, "collection_indexing_policy": null }, - "output_types": [ - "Record" - ], + "output_types": ["Record"], "field_formatters": {}, "frozen": false, "field_order": [ @@ -2219,9 +2066,7 @@ "info": "API endpoint URL for the Astra DB service.", "load_from_db": false, "title_case": false, - "input_types": [ - "Text" - ], + "input_types": ["Text"], "value": "" }, "batch_size": { @@ -2349,9 +2194,7 @@ "info": "The name of the collection within Astra DB where the vectors will be stored.", "load_from_db": false, "title_case": false, - "input_types": [ - "Text" - ], + "input_types": ["Text"], "value": "langflow" }, "metadata_indexing_exclude": { @@ -2371,9 +2214,7 @@ "info": "Optional list of metadata fields to exclude from the indexing.", "load_from_db": false, "title_case": false, - "input_types": [ - "Text" - ] + "input_types": ["Text"] }, "metadata_indexing_include": { "type": "str", @@ -2392,9 +2233,7 @@ "info": "Optional list of metadata fields to include in the indexing.", "load_from_db": false, "title_case": false, - "input_types": [ - "Text" - ] + "input_types": ["Text"] }, "metric": { "type": "str", @@ -2413,9 +2252,7 @@ "info": "Optional distance metric for vector comparisons in the vector store.", "load_from_db": false, "title_case": false, - "input_types": [ - "Text" - ] + "input_types": ["Text"] }, "namespace": { "type": "str", @@ -2434,9 +2271,7 @@ "info": "Optional namespace within Astra DB to use for the collection.", "load_from_db": false, "title_case": false, - "input_types": [ - "Text" - ] + "input_types": ["Text"] }, "pre_delete_collection": { "type": "bool", @@ -2468,11 +2303,7 @@ "fileTypes": [], "file_path": "", "password": false, - "options": [ - "Sync", - "Async", - "Off" - ], + "options": ["Sync", "Async", "Off"], "name": "setup_mode", "display_name": "Setup Mode", "advanced": true, @@ -2480,9 +2311,7 @@ "info": "Configuration mode for setting up the vector store, with options like “Sync”, “Async”, or “Off”.", "load_from_db": false, "title_case": false, - "input_types": [ - "Text" - ] + "input_types": ["Text"] }, "token": { "type": "str", @@ -2501,18 +2330,14 @@ "info": "Authentication token for accessing Astra DB.", "load_from_db": false, "title_case": false, - "input_types": [ - "Text" - ], + "input_types": ["Text"], "value": "" }, "_type": "CustomComponent" }, "description": "Builds or loads an Astra DB Vector Store.", "icon": "AstraDB", - "base_classes": [ - "VectorStore" - ], + "base_classes": ["VectorStore"], "display_name": "Astra DB", "documentation": "", "custom_fields": { @@ -2533,9 +2358,7 @@ "metadata_indexing_exclude": null, "collection_indexing_policy": null }, - "output_types": [ - "VectorStore" - ], + "output_types": ["VectorStore"], "field_formatters": {}, "frozen": false, "field_order": [ @@ -2587,9 +2410,7 @@ "info": "", "load_from_db": false, "title_case": false, - "input_types": [ - "Text" - ] + "input_types": ["Text"] }, "chunk_size": { "type": "int", @@ -2701,9 +2522,7 @@ "info": "", "load_from_db": false, "title_case": false, - "input_types": [ - "Text" - ] + "input_types": ["Text"] }, "disallowed_special": { "type": "str", @@ -2712,9 +2531,7 @@ "list": false, "show": true, "multiline": false, - "value": [ - "all" - ], + "value": ["all"], "fileTypes": [], "file_path": "", "password": false, @@ -2725,9 +2542,7 @@ "info": "", "load_from_db": false, "title_case": false, - "input_types": [ - "Text" - ] + "input_types": ["Text"] }, "embedding_ctx_length": { "type": "int", @@ -2790,9 +2605,7 @@ "info": "", "load_from_db": false, "title_case": false, - "input_types": [ - "Text" - ] + "input_types": ["Text"] }, "model_kwargs": { "type": "NestedDict", @@ -2830,9 +2643,7 @@ "info": "", "load_from_db": false, "title_case": false, - "input_types": [ - "Text" - ] + "input_types": ["Text"] }, "openai_api_key": { "type": "str", @@ -2851,9 +2662,7 @@ "info": "", "load_from_db": false, "title_case": false, - "input_types": [ - "Text" - ], + "input_types": ["Text"], "value": "" }, "openai_api_type": { @@ -2873,9 +2682,7 @@ "info": "", "load_from_db": false, "title_case": false, - "input_types": [ - "Text" - ] + "input_types": ["Text"] }, "openai_api_version": { "type": "str", @@ -2894,9 +2701,7 @@ "info": "", "load_from_db": false, "title_case": false, - "input_types": [ - "Text" - ] + "input_types": ["Text"] }, "openai_organization": { "type": "str", @@ -2915,9 +2720,7 @@ "info": "", "load_from_db": false, "title_case": false, - "input_types": [ - "Text" - ] + "input_types": ["Text"] }, "openai_proxy": { "type": "str", @@ -2936,9 +2739,7 @@ "info": "", "load_from_db": false, "title_case": false, - "input_types": [ - "Text" - ] + "input_types": ["Text"] }, "request_timeout": { "type": "float", @@ -3038,16 +2839,12 @@ "info": "", "load_from_db": false, "title_case": false, - "input_types": [ - "Text" - ] + "input_types": ["Text"] }, "_type": "CustomComponent" }, "description": "Generate embeddings using OpenAI models.", - "base_classes": [ - "Embeddings" - ], + "base_classes": ["Embeddings"], "display_name": "OpenAI Embeddings", "documentation": "", "custom_fields": { @@ -3074,9 +2871,7 @@ "tiktoken_enable": null, "tiktoken_model_name": null }, - "output_types": [ - "Embeddings" - ], + "output_types": ["Embeddings"], "field_formatters": {}, "frozen": false, "field_order": [], @@ -3105,20 +2900,11 @@ "targetHandle": { "fieldName": "context", "id": "Prompt-xeI6K", - "inputTypes": [ - "Document", - "BaseOutputParser", - "Record", - "Text" - ], + "inputTypes": ["Document", "BaseOutputParser", "Record", "Text"], "type": "str" }, "sourceHandle": { - "baseClasses": [ - "object", - "Text", - "str" - ], + "baseClasses": ["object", "Text", "str"], "dataType": "TextOutput", "id": "TextOutput-BDknO" } @@ -3139,21 +2925,11 @@ "targetHandle": { "fieldName": "question", "id": "Prompt-xeI6K", - "inputTypes": [ - "Document", - "BaseOutputParser", - "Record", - "Text" - ], + "inputTypes": ["Document", "BaseOutputParser", "Record", "Text"], "type": "str" }, "sourceHandle": { - "baseClasses": [ - "Text", - "str", - "object", - "Record" - ], + "baseClasses": ["Text", "str", "object", "Record"], "dataType": "ChatInput", "id": "ChatInput-yxMKE" } @@ -3174,17 +2950,11 @@ "targetHandle": { "fieldName": "input_value", "id": "OpenAIModel-EjXlN", - "inputTypes": [ - "Text" - ], + "inputTypes": ["Text"], "type": "str" }, "sourceHandle": { - "baseClasses": [ - "object", - "Text", - "str" - ], + "baseClasses": ["object", "Text", "str"], "dataType": "Prompt", "id": "Prompt-xeI6K" } @@ -3205,17 +2975,11 @@ "targetHandle": { "fieldName": "input_value", "id": "ChatOutput-Q39I8", - "inputTypes": [ - "Text" - ], + "inputTypes": ["Text"], "type": "str" }, "sourceHandle": { - "baseClasses": [ - "object", - "Text", - "str" - ], + "baseClasses": ["object", "Text", "str"], "dataType": "OpenAIModel", "id": "OpenAIModel-EjXlN" } @@ -3236,16 +3000,11 @@ "targetHandle": { "fieldName": "inputs", "id": "RecursiveCharacterTextSplitter-tR9QM", - "inputTypes": [ - "Document", - "Record" - ], + "inputTypes": ["Document", "Record"], "type": "Document" }, "sourceHandle": { - "baseClasses": [ - "Record" - ], + "baseClasses": ["Record"], "dataType": "File", "id": "File-t0a6a" } @@ -3269,9 +3028,7 @@ "type": "Embeddings" }, "sourceHandle": { - "baseClasses": [ - "Embeddings" - ], + "baseClasses": ["Embeddings"], "dataType": "OpenAIEmbeddings", "id": "OpenAIEmbeddings-ZlOk1" } @@ -3291,18 +3048,11 @@ "targetHandle": { "fieldName": "input_value", "id": "AstraDBSearch-41nRz", - "inputTypes": [ - "Text" - ], + "inputTypes": ["Text"], "type": "str" }, "sourceHandle": { - "baseClasses": [ - "Text", - "str", - "object", - "Record" - ], + "baseClasses": ["Text", "str", "object", "Record"], "dataType": "ChatInput", "id": "ChatInput-yxMKE" } @@ -3326,9 +3076,7 @@ "type": "Record" }, "sourceHandle": { - "baseClasses": [ - "Record" - ], + "baseClasses": ["Record"], "dataType": "RecursiveCharacterTextSplitter", "id": "RecursiveCharacterTextSplitter-tR9QM" } @@ -3353,9 +3101,7 @@ "type": "Embeddings" }, "sourceHandle": { - "baseClasses": [ - "Embeddings" - ], + "baseClasses": ["Embeddings"], "dataType": "OpenAIEmbeddings", "id": "OpenAIEmbeddings-9TPjc" } @@ -3376,16 +3122,11 @@ "targetHandle": { "fieldName": "input_value", "id": "TextOutput-BDknO", - "inputTypes": [ - "Record", - "Text" - ], + "inputTypes": ["Record", "Text"], "type": "str" }, "sourceHandle": { - "baseClasses": [ - "Record" - ], + "baseClasses": ["Record"], "dataType": "AstraDBSearch", "id": "AstraDBSearch-41nRz" } @@ -3403,8 +3144,8 @@ "zoom": 0.2687057134854984 } }, - "description": "Visit https://pre-release.langflow.org/guides/rag-with-astradb for a detailed guide of this project.\nThis project give you both Ingestion and RAG in a single file. You'll need to visit https://astra.datastax.com/ to create an Astra DB instance, your Token and grab an API Endpoint.\nRunning this project requires you to add a file in the Files component, then define a Collection Name and click on the Play icon on the Astra DB component. \n\nAfter the ingestion ends you are ready to click on the Run button at the lower left corner and start asking questions about your data.", + "description": "Visit https://pre-release.langflow.org/tutorials/rag-with-astradb for a detailed guide of this project.\nThis project give you both Ingestion and RAG in a single file. You'll need to visit https://astra.datastax.com/ to create an Astra DB instance, your Token and grab an API Endpoint.\nRunning this project requires you to add a file in the Files component, then define a Collection Name and click on the Play icon on the Astra DB component. \n\nAfter the ingestion ends you are ready to click on the Run button at the lower left corner and start asking questions about your data.", "name": "Vector Store RAG", "last_tested_version": "1.0.0a0", "is_component": false -} \ No newline at end of file +} diff --git a/src/backend/base/langflow/interface/agents/custom.py b/src/backend/base/langflow/interface/agents/custom.py index 142b77139..680bc9bf8 100644 --- a/src/backend/base/langflow/interface/agents/custom.py +++ b/src/backend/base/langflow/interface/agents/custom.py @@ -7,7 +7,7 @@ from langchain.agents.agent_toolkits.vectorstore.prompt import ROUTER_PREFIX as from langchain.agents.mrkl.prompt import FORMAT_INSTRUCTIONS from langchain.base_language import BaseLanguageModel from langchain.chains.llm import LLMChain -from langchain.sql_database import SQLDatabase +from langchain_community.utilities import SQLDatabase from langchain.tools.sql_database.prompt import QUERY_CHECKER from langchain_community.agent_toolkits import SQLDatabaseToolkit from langchain_community.agent_toolkits.json.prompt import JSON_PREFIX, JSON_SUFFIX diff --git a/src/backend/base/langflow/interface/custom/custom_component/custom_component.py b/src/backend/base/langflow/interface/custom/custom_component/custom_component.py index e6f0c4652..1638ebb2c 100644 --- a/src/backend/base/langflow/interface/custom/custom_component/custom_component.py +++ b/src/backend/base/langflow/interface/custom/custom_component/custom_component.py @@ -87,6 +87,14 @@ class CustomComponent(Component): except Exception as e: raise ValueError(f"Error updating state: {e}") + def stop(self): + if not self.vertex: + raise ValueError("Vertex is not set") + try: + self.graph.mark_branch(self.vertex.id, "INACTIVE") + except Exception as e: + raise ValueError(f"Error stopping {self.display_name}: {e}") + def append_state(self, name: str, value: Any): if not self.vertex: raise ValueError("Vertex is not set") diff --git a/src/backend/base/langflow/interface/custom_lists.py b/src/backend/base/langflow/interface/custom_lists.py index 8f428ee11..9b494e450 100644 --- a/src/backend/base/langflow/interface/custom_lists.py +++ b/src/backend/base/langflow/interface/custom_lists.py @@ -1,7 +1,7 @@ import inspect from typing import Any -from langchain import llms, memory, requests, text_splitter +from langchain import llms, memory, text_splitter from langchain_community import agent_toolkits, document_loaders, embeddings from langchain_community.chat_models import AzureChatOpenAI, ChatAnthropic, ChatOpenAI, ChatVertexAI @@ -43,8 +43,6 @@ memory_type_to_cls_dict: dict[str, Any] = { memory_name: import_class(f"langchain.memory.{memory_name}") for memory_name in memory.__all__ } -# Wrappers -wrapper_type_to_cls_dict: dict[str, Any] = {wrapper.__name__: wrapper for wrapper in [requests.RequestsWrapper]} # Embeddings embedding_type_to_cls_dict: dict[str, Any] = { diff --git a/src/backend/base/langflow/interface/importing/utils.py b/src/backend/base/langflow/interface/importing/utils.py index 24612df3c..1b921d87b 100644 --- a/src/backend/base/langflow/interface/importing/utils.py +++ b/src/backend/base/langflow/interface/importing/utils.py @@ -45,7 +45,6 @@ def import_by_type(_type: str, name: str) -> Any: "documentloaders": import_documentloader, "textsplitters": import_textsplitter, "utilities": import_utility, - "output_parsers": import_output_parser, "retrievers": import_retriever, } if _type == "models": @@ -57,11 +56,6 @@ def import_by_type(_type: str, name: str) -> Any: return loaded_func(name) -def import_output_parser(output_parser: str) -> Any: - """Import output parser from output parser name""" - return import_module(f"from langchain.output_parsers import {output_parser}") - - def import_chat_llm(llm: str) -> BaseChatModel: """Import chat llm from llm name""" return import_class(f"langchain_community.chat_models.{llm}") diff --git a/src/backend/base/langflow/interface/initialize/loading.py b/src/backend/base/langflow/interface/initialize/loading.py index 15045cd06..6001258bc 100644 --- a/src/backend/base/langflow/interface/initialize/loading.py +++ b/src/backend/base/langflow/interface/initialize/loading.py @@ -1,8 +1,8 @@ import inspect import json +import os from typing import TYPE_CHECKING, Any, Callable, Dict, Sequence, Type - import orjson from langchain.agents import agent as agent_module from langchain.agents.agent import AgentExecutor @@ -20,7 +20,6 @@ from langflow.interface.importing.utils import import_by_type from langflow.interface.initialize.llm import initialize_vertexai from langflow.interface.initialize.utils import handle_format_kwargs, handle_node_type, handle_partial_variables from langflow.interface.initialize.vector_store import vecstore_initializer -from langflow.interface.output_parsers.base import output_parser_creator from langflow.interface.retrievers.base import retriever_creator from langflow.interface.toolkits.base import toolkits_creator from langflow.interface.utils import load_file_into_dict @@ -36,6 +35,7 @@ if TYPE_CHECKING: async def instantiate_class( vertex: "Vertex", + fallback_to_env_vars, user_id=None, ) -> Any: """Instantiate class from module type and key, and params""" @@ -58,7 +58,7 @@ async def instantiate_class( if not base_type: raise ValueError("No base type provided for vertex") if base_type == "custom_components": - return await instantiate_custom_component(params, user_id, vertex) + return await instantiate_custom_component(params, user_id, vertex, fallback_to_env_vars=fallback_to_env_vars) class_object = import_by_type(_type=base_type, name=vertex_type) return await instantiate_based_on_type( class_object=class_object, @@ -67,6 +67,7 @@ async def instantiate_class( params=params, user_id=user_id, vertex=vertex, + fallback_to_env_vars=fallback_to_env_vars, ) @@ -94,14 +95,7 @@ def convert_kwargs(params): return params -async def instantiate_based_on_type( - class_object, - base_type, - node_type, - params, - user_id, - vertex, -): +async def instantiate_based_on_type(class_object, base_type, node_type, params, user_id, vertex, fallback_to_env_vars): if base_type == "agents": return instantiate_agent(node_type, class_object, params) elif base_type == "prompts": @@ -126,8 +120,6 @@ async def instantiate_based_on_type( return instantiate_utility(node_type, class_object, params) elif base_type == "chains": return instantiate_chains(node_type, class_object, params) - elif base_type == "output_parsers": - return instantiate_output_parser(node_type, class_object, params) elif base_type == "models": return instantiate_llm(node_type, class_object, params) elif base_type == "retrievers": @@ -135,33 +127,49 @@ async def instantiate_based_on_type( elif base_type == "memory": return instantiate_memory(node_type, class_object, params) elif base_type == "custom_components": - return await instantiate_custom_component( - params, - user_id, - vertex, - ) + return await instantiate_custom_component(params, user_id, vertex, fallback_to_env_vars=fallback_to_env_vars) elif base_type == "wrappers": return instantiate_wrapper(node_type, class_object, params) else: return class_object(**params) -def update_params_with_load_from_db_fields(custom_component: "CustomComponent", params, load_from_db_fields): +def update_params_with_load_from_db_fields( + custom_component: "CustomComponent", params, load_from_db_fields, fallback_to_env_vars=False +): # For each field in load_from_db_fields, we will check if it's in the params # and if it is, we will get the value from the custom_component.keys(name) # and update the params with the value for field in load_from_db_fields: if field in params: try: - key = custom_component.variables(params[field]) - params[field] = key if key else params[field] + key = None + try: + key = custom_component.variables(params[field]) + except ValueError as e: + # check if "User id is not set" is in the error message + if "User id is not set" in str(e) and not fallback_to_env_vars: + raise e + logger.debug(str(e)) + if fallback_to_env_vars and key is None: + var = os.getenv(params[field]) + if var is None: + raise ValueError(f"Environment variable {params[field]} is not set.") + key = var + logger.info(f"Using environment variable {params[field]} for {field}") + if key is None: + logger.warning(f"Could not get value for {field}. Setting it to None.") + params[field] = key + except Exception as exc: - logger.error(f"Failed to get value for {field} from custom component. Error: {exc}") - pass + logger.error(f"Failed to get value for {field} from custom component. Setting it to None. Error: {exc}") + + params[field] = None + return params -async def instantiate_custom_component(params, user_id, vertex): +async def instantiate_custom_component(params, user_id, vertex, fallback_to_env_vars: bool = False): params_copy = params.copy() class_object: Type["CustomComponent"] = eval_custom_component_code(params_copy.pop("code")) custom_component: "CustomComponent" = class_object( @@ -170,7 +178,9 @@ async def instantiate_custom_component(params, user_id, vertex): vertex=vertex, selected_output_type=vertex.selected_output_type, ) - params_copy = update_params_with_load_from_db_fields(custom_component, params_copy, vertex.load_from_db_fields) + params_copy = update_params_with_load_from_db_fields( + custom_component, params_copy, vertex.load_from_db_fields, fallback_to_env_vars + ) if "retriever" in params_copy and hasattr(params_copy["retriever"], "as_retriever"): params_copy["retriever"] = params_copy["retriever"].as_retriever() @@ -185,7 +195,7 @@ async def instantiate_custom_component(params, user_id, vertex): # Call the build method directly if it's sync build_result = custom_component.build(**params_copy) custom_repr = custom_component.custom_repr() - if not custom_repr and isinstance(build_result, (dict, Record, str)): + if custom_repr is None and isinstance(build_result, (dict, Record, str)): custom_repr = build_result if not isinstance(custom_repr, str): custom_repr = str(custom_repr) @@ -201,15 +211,6 @@ def instantiate_wrapper(node_type, class_object, params): return class_object(**params) -def instantiate_output_parser(node_type, class_object, params): - if node_type in output_parser_creator.from_method_nodes: - method = output_parser_creator.from_method_nodes[node_type] - if class_method := getattr(class_object, method, None): - return class_method(**params) - raise ValueError(f"Method {method} not found in {class_object}") - return class_object(**params) - - def instantiate_llm(node_type, class_object, params: Dict): # This is a workaround so JinaChat works until streaming is implemented # if "openai_api_base" in params and "jina" in params["openai_api_base"]: @@ -514,15 +515,6 @@ def build_prompt_template(prompt, tools): "show": False, "multiline": False, }, - "output_parser": { - "type": "BaseOutputParser", - "required": False, - "placeholder": "", - "list": False, - "show": False, - "multline": False, - "value": None, - }, "template": { "type": "str", "required": True, diff --git a/src/backend/base/langflow/interface/initialize/vector_store.py b/src/backend/base/langflow/interface/initialize/vector_store.py index d01688165..8e596298c 100644 --- a/src/backend/base/langflow/interface/initialize/vector_store.py +++ b/src/backend/base/langflow/interface/initialize/vector_store.py @@ -5,7 +5,6 @@ import orjson from langchain_community.vectorstores import ( FAISS, Chroma, - ElasticsearchStore, MongoDBAtlasVectorSearch, Pinecone, Qdrant, @@ -227,34 +226,11 @@ def initialize_qdrant(class_object: Type[Qdrant], params: dict): return class_object.from_documents(**params) -def initialize_elasticsearch(class_object: Type[ElasticsearchStore], params: dict): - """Initialize elastic and return the class object""" - if "index_name" not in params: - raise ValueError("Elasticsearch Index must be provided in the params") - if "es_url" not in params: - raise ValueError("Elasticsearch URL must be provided in the params") - if not docs_in_params(params): - existing_index_params = { - "embedding": params.pop("embedding"), - } - if "index_name" in params: - existing_index_params["index_name"] = params.pop("index_name") - if "es_url" in params: - existing_index_params["es_url"] = params.pop("es_url") - - return class_object.from_existing_index(**existing_index_params) - # If there are docs in the params, create a new index - if "texts" in params: - params["documents"] = params.pop("texts") - return class_object.from_documents(**params) - - vecstore_initializer: Dict[str, Callable[[Type[Any], dict], Any]] = { "Pinecone": initialize_pinecone, "Chroma": initialize_chroma, "Qdrant": initialize_qdrant, "Weaviate": initialize_weaviate, - "ElasticsearchStore": initialize_elasticsearch, "FAISS": initialize_faiss, "SupabaseVectorStore": initialize_supabase, "MongoDBAtlasVectorSearch": initialize_mongodb, diff --git a/src/backend/base/langflow/interface/output_parsers/base.py b/src/backend/base/langflow/interface/output_parsers/base.py deleted file mode 100644 index b38bba87e..000000000 --- a/src/backend/base/langflow/interface/output_parsers/base.py +++ /dev/null @@ -1,63 +0,0 @@ -from typing import ClassVar, Dict, List, Optional, Type - -from langchain import output_parsers -from langflow.interface.base import LangChainTypeCreator -from langflow.interface.importing.utils import import_class -from langflow.interface.utils import build_template_from_class -from langflow.services.deps import get_settings_service -from langflow.template.frontend_node.output_parsers import OutputParserFrontendNode -from langflow.utils.util import build_template_from_method -from loguru import logger - - -class OutputParserCreator(LangChainTypeCreator): - type_name: str = "output_parsers" - from_method_nodes: ClassVar[Dict] = { - "StructuredOutputParser": "from_response_schemas", - } - - @property - def frontend_node_class(self) -> Type[OutputParserFrontendNode]: - return OutputParserFrontendNode - - @property - def type_to_loader_dict(self) -> Dict: - if self.type_dict is None: - settings_service = get_settings_service() - self.type_dict = { - output_parser_name: import_class(f"langchain.output_parsers.{output_parser_name}") - # if output_parser_name is not lower case it is a class - for output_parser_name in output_parsers.__all__ - } - self.type_dict = { - name: output_parser - for name, output_parser in self.type_dict.items() - if name in settings_service.settings.OUTPUT_PARSERS or settings_service.settings.DEV - } - return self.type_dict - - def get_signature(self, name: str) -> Optional[Dict]: - try: - if name in self.from_method_nodes: - return build_template_from_method( - name, - type_to_cls_dict=self.type_to_loader_dict, - method_name=self.from_method_nodes[name], - ) - else: - return build_template_from_class( - name, - type_to_cls_dict=self.type_to_loader_dict, - ) - except ValueError as exc: - # raise ValueError("OutputParser not found") from exc - logger.error(f"OutputParser {name} not found: {exc}") - except AttributeError as exc: - logger.error(f"OutputParser {name} not loaded: {exc}") - return None - - def to_list(self) -> List[str]: - return list(self.type_to_loader_dict.keys()) - - -output_parser_creator = OutputParserCreator() diff --git a/src/backend/base/langflow/interface/tools/constants.py b/src/backend/base/langflow/interface/tools/constants.py index 7b07922e5..27b42b327 100644 --- a/src/backend/base/langflow/interface/tools/constants.py +++ b/src/backend/base/langflow/interface/tools/constants.py @@ -1,7 +1,7 @@ from langchain import tools from langchain.agents import Tool from langchain.agents.load_tools import _BASE_TOOLS, _EXTRA_LLM_TOOLS, _EXTRA_OPTIONAL_TOOLS, _LLM_TOOLS -from langchain.tools.json.tool import JsonSpec +from langchain_community.tools.json.tool import JsonSpec from langflow.interface.importing.utils import import_class from langflow.interface.tools.custom import PythonFunctionTool diff --git a/src/backend/base/langflow/interface/types.py b/src/backend/base/langflow/interface/types.py index 32ab7ff95..46fa44a37 100644 --- a/src/backend/base/langflow/interface/types.py +++ b/src/backend/base/langflow/interface/types.py @@ -8,7 +8,6 @@ from langflow.interface.document_loaders.base import documentloader_creator from langflow.interface.embeddings.base import embedding_creator from langflow.interface.llms.base import llm_creator from langflow.interface.memories.base import memory_creator -from langflow.interface.output_parsers.base import output_parser_creator from langflow.interface.retrievers.base import retriever_creator from langflow.interface.text_splitters.base import textsplitter_creator from langflow.interface.toolkits.base import toolkits_creator @@ -48,7 +47,6 @@ def build_langchain_types_dict(): # sourcery skip: dict-assign-update-to-union documentloader_creator, textsplitter_creator, # utility_creator, - output_parser_creator, retriever_creator, ] diff --git a/src/backend/base/langflow/interface/utils.py b/src/backend/base/langflow/interface/utils.py index aa4e3f7e1..d4271eabf 100644 --- a/src/backend/base/langflow/interface/utils.py +++ b/src/backend/base/langflow/interface/utils.py @@ -106,7 +106,7 @@ def set_langchain_cache(settings): if cache_type := os.getenv("LANGFLOW_LANGCHAIN_CACHE"): try: - cache_class = import_class(f"langchain.cache.{cache_type or settings.LANGCHAIN_CACHE}") + cache_class = import_class(f"langchain_community.cache.{cache_type or settings.LANGCHAIN_CACHE}") logger.debug(f"Setting up LLM caching with {cache_class.__name__}") set_llm_cache(cache_class()) diff --git a/src/backend/base/langflow/main.py b/src/backend/base/langflow/main.py index 81797dc80..697cfa226 100644 --- a/src/backend/base/langflow/main.py +++ b/src/backend/base/langflow/main.py @@ -53,6 +53,7 @@ def get_lifespan(fix_migration=False, socketio_server=None): except Exception as exc: if "langflow migration --fix" not in str(exc): logger.error(exc) + raise # Shutdown message rprint("[bold red]Shutting down Langflow...[/bold red]") teardown_services() diff --git a/src/backend/base/langflow/memory.py b/src/backend/base/langflow/memory.py index aea9b3000..f44958fdd 100644 --- a/src/backend/base/langflow/memory.py +++ b/src/backend/base/langflow/memory.py @@ -1,4 +1,5 @@ -from typing import Optional, Union +import warnings +from typing import List, Optional, Union from loguru import logger @@ -51,6 +52,7 @@ def get_messages( "sender": row.sender, "sender_name": row.sender_name, "session_id": row.session_id, + "timestamp": row.timestamp, }, ) records.append(record) @@ -58,7 +60,7 @@ def get_messages( return records -def add_messages(records: Union[list[Record], Record]): +def add_messages(records: Union[list[Record], Record], flow_id: Optional[str] = None): """ Add a message to the monitor service. """ @@ -74,7 +76,8 @@ def add_messages(records: Union[list[Record], Record]): messages: list[MessageModel] = [] for record in records: - messages.append(MessageModel.from_record(record)) + record.timestamp = monitor_service.get_timestamp() + messages.append(MessageModel.from_record(record, flow_id=flow_id)) for message in messages: try: @@ -98,3 +101,55 @@ def delete_messages(session_id: str): """ monitor_service = get_monitor_service() monitor_service.delete_messages(session_id) + + +def store_message( + message: Union[str, Record], + session_id: Optional[str] = None, + sender: Optional[str] = None, + sender_name: Optional[str] = None, + flow_id: Optional[str] = None, +) -> List[Record]: + """ + Stores a message in the memory. + + Args: + message (Union[str, Record]): The message to be stored. It can be either a string or a Record object. + session_id (Optional[str]): The session ID associated with the message. + sender (Optional[str]): The sender ID associated with the message. + sender_name (Optional[str]): The name of the sender associated with the message. + flow_id (Optional[str]): The flow ID associated with the message. When running from the CustomComponent you can access this using `self.graph.flow_id`. + + Returns: + List[Record]: A list of records containing the stored message. + + Raises: + ValueError: If any of the required parameters (session_id, sender, sender_name) is not provided. + """ + if not message: + warnings.warn("No message provided.") + return [] + + if not session_id or not sender or not sender_name: + raise ValueError("All of session_id, sender, and sender_name must be provided.") + + if isinstance(message, Record): + record = message + record.data.update( + { + "session_id": session_id, + "sender": sender, + "sender_name": sender_name, + } + ) + elif isinstance(message, str): + record = Record( + data={ + "text": message, + "session_id": session_id, + "sender": sender, + "sender_name": sender_name, + }, + ) + + return add_messages([record], flow_id=flow_id) diff --git a/src/backend/base/langflow/processing/load.py b/src/backend/base/langflow/processing/load.py index a2be59d95..b56f22c81 100644 --- a/src/backend/base/langflow/processing/load.py +++ b/src/backend/base/langflow/processing/load.py @@ -3,6 +3,8 @@ from pathlib import Path from typing import List, Optional, Union from dotenv import load_dotenv +from loguru import logger + from langflow.graph import Graph from langflow.graph.schema import RunOutputs from langflow.processing.process import process_tweaks, run_graph @@ -80,6 +82,7 @@ def run_flow_from_json( env_file: Optional[str] = None, cache: Optional[str] = None, disable_logs: Optional[bool] = True, + fallback_to_env_vars: bool = False, ) -> List[RunOutputs]: """ Run a flow from a JSON file or dictionary. @@ -96,11 +99,18 @@ def run_flow_from_json( env_file (Optional[str], optional): The environment file to load. Defaults to None. cache (Optional[str], optional): The cache directory to use. Defaults to None. disable_logs (Optional[bool], optional): Whether to disable logs. Defaults to True. + fallback_to_env_vars (bool, optional): Whether Global Variables should fallback to environment variables if not found. Defaults to False. Returns: List[RunOutputs]: A list of RunOutputs objects representing the results of running the flow. """ # Set all streaming to false + try: + import nest_asyncio # type: ignore + + nest_asyncio.apply() + except Exception as e: + logger.warning(f"Could not apply nest_asyncio: {e}") if tweaks is None: tweaks = {} tweaks["stream"] = False @@ -119,5 +129,6 @@ def run_flow_from_json( input_type=input_type, output_type=output_type, output_component=output_component, + fallback_to_env_vars=fallback_to_env_vars, ) return result diff --git a/src/backend/base/langflow/processing/process.py b/src/backend/base/langflow/processing/process.py index bfaff74d5..d46274b4c 100644 --- a/src/backend/base/langflow/processing/process.py +++ b/src/backend/base/langflow/processing/process.py @@ -1,5 +1,6 @@ from typing import TYPE_CHECKING, Any, Dict, List, Optional, Tuple, Union + from langchain.agents import AgentExecutor from langchain.schema import AgentAction from loguru import logger @@ -13,6 +14,7 @@ from langflow.schema.graph import InputValue, Tweaks from langflow.schema.schema import INPUT_FIELD_NAME from langflow.services.session.service import SessionService + if TYPE_CHECKING: from langflow.api.v1.schemas import InputValueRequest @@ -173,6 +175,7 @@ def run_graph( input_value: str, input_type: str, output_type: str, + fallback_to_env_vars: bool = False, output_component: Optional[str] = None, ) -> List[RunOutputs]: """ @@ -216,6 +219,7 @@ def run_graph( outputs or [], stream=False, session_id="", + fallback_to_env_vars=fallback_to_env_vars, ) return run_outputs @@ -269,16 +273,19 @@ def process_tweaks( :return: The modified graph_data dictionary. :raises ValueError: If the input is not in the expected format. """ + tweaks_dict = {} if not isinstance(tweaks, dict): - tweaks = tweaks.model_dump() - if "stream" not in tweaks: - tweaks["stream"] = stream - nodes = validate_input(graph_data, tweaks) + tweaks_dict = tweaks.model_dump() + else: + tweaks_dict = tweaks + if "stream" not in tweaks_dict: + tweaks_dict["stream"] = stream + nodes = validate_input(graph_data, tweaks_dict) nodes_map = {node.get("id"): node for node in nodes} nodes_display_name_map = {node.get("data", {}).get("node", {}).get("display_name"): node for node in nodes} all_nodes_tweaks = {} - for key, value in tweaks.items(): + for key, value in tweaks_dict.items(): if isinstance(value, dict): if node := nodes_map.get(key): apply_tweaks(node, value) diff --git a/src/backend/base/langflow/schema/graph.py b/src/backend/base/langflow/schema/graph.py index a515b3dd2..6b6cca66a 100644 --- a/src/backend/base/langflow/schema/graph.py +++ b/src/backend/base/langflow/schema/graph.py @@ -1,7 +1,8 @@ -from typing import List, Optional, Union +from typing import Any, List, Optional, Union + +from pydantic import BaseModel, Field, RootModel from langflow.schema.schema import InputType -from pydantic import BaseModel, Field, RootModel class InputValue(BaseModel): @@ -14,7 +15,7 @@ class InputValue(BaseModel): class Tweaks(RootModel): - root: dict[str, Union[str, dict[str, str]]] = Field( + root: dict[str, Union[str, dict[str, Any]]] = Field( description="A dictionary of tweaks to adjust the flow's execution. Allows customizing flow behavior dynamically. All tweaks are overridden by the input values.", ) model_config = { diff --git a/src/backend/base/langflow/schema/schema.py b/src/backend/base/langflow/schema/schema.py index 979c78920..921bd65b2 100644 --- a/src/backend/base/langflow/schema/schema.py +++ b/src/backend/base/langflow/schema/schema.py @@ -1,10 +1,10 @@ import copy -from typing import Literal, Optional +import json +from typing import Literal, Optional, cast from langchain_core.documents import Document -from langchain_core.messages import BaseMessage +from langchain_core.messages import AIMessage, BaseMessage, HumanMessage from pydantic import BaseModel, model_validator -from langchain_core.messages import HumanMessage, AIMessage, BaseMessage class Record(BaseModel): @@ -67,8 +67,8 @@ class Record(BaseModel): Returns: Record: The converted Record. """ - data = {"text": message.content} - data["metadata"] = message.to_json() + data: dict = {"text": message.content} + data["metadata"] = cast(dict, message.to_json()) return cls(data=data, text_key="text") def __add__(self, other: "Record") -> "Record": @@ -163,23 +163,15 @@ class Record(BaseModel): # Create a new Record object with a deep copy of the data dictionary return Record(data=copy.deepcopy(self.data, memo), text_key=self.text_key, default_value=self.default_value) - def __str__(self) -> str: - """ - Returns a string representation of the Record, including text and data. - """ - # Assuming a method to dump model data as JSON string exists. - # If it doesn't, you might need to implement it or use json.dumps() directly. - # build the string considering all keys in the data dictionary - prefix = "Record(" - suffix = ")" - text = f"text_key={self.text_key}, " - text += ", ".join([f"{k}={v}" for k, v in self.data.items()]) - return prefix + text + suffix - # check which attributes the Record has by checking the keys in the data dictionary def __dir__(self): return super().__dir__() + list(self.data.keys()) + def __str__(self) -> str: + # return a JSON string representation of the Record atributes + + return json.dumps(self.data) + INPUT_FIELD_NAME = "input_value" diff --git a/src/backend/base/langflow/services/auth/utils.py b/src/backend/base/langflow/services/auth/utils.py index d2290036e..f8396077c 100644 --- a/src/backend/base/langflow/services/auth/utils.py +++ b/src/backend/base/langflow/services/auth/utils.py @@ -1,21 +1,20 @@ from datetime import datetime, timedelta, timezone from typing import Annotated, Coroutine, Optional, Union from uuid import UUID +import warnings from cryptography.fernet import Fernet from fastapi import Depends, HTTPException, Security, status from fastapi.security import APIKeyHeader, APIKeyQuery, OAuth2PasswordBearer + + from jose import JWTError, jwt from sqlmodel import Session from starlette.websockets import WebSocket from langflow.services.database.models.api_key.crud import check_key from langflow.services.database.models.api_key.model import ApiKey -from langflow.services.database.models.user.crud import ( - get_user_by_id, - get_user_by_username, - update_user_last_login_at, -) +from langflow.services.database.models.user.crud import get_user_by_id, get_user_by_username, update_user_last_login_at from langflow.services.database.models.user.model import User from langflow.services.deps import get_session, get_settings_service @@ -111,11 +110,15 @@ async def get_current_user_by_jwt( raise credentials_exception try: - payload = jwt.decode( - token, - settings_service.auth_settings.SECRET_KEY.get_secret_value(), - algorithms=[settings_service.auth_settings.ALGORITHM], - ) + # Ignore warning about datetime.utcnow + with warnings.catch_warnings(): + warnings.simplefilter("ignore") + + payload = jwt.decode( + token, + settings_service.auth_settings.SECRET_KEY.get_secret_value(), + algorithms=[settings_service.auth_settings.ALGORITHM], + ) user_id: UUID = payload.get("sub") # type: ignore token_type: str = payload.get("type") # type: ignore if expires := payload.get("exp", None): @@ -285,11 +288,14 @@ def create_refresh_token(refresh_token: str, db: Session = Depends(get_session)) settings_service = get_settings_service() try: - payload = jwt.decode( - refresh_token, - settings_service.auth_settings.SECRET_KEY.get_secret_value(), - algorithms=[settings_service.auth_settings.ALGORITHM], - ) + # Ignore warning about datetime.utcnow + with warnings.catch_warnings(): + warnings.simplefilter("ignore") + payload = jwt.decode( + refresh_token, + settings_service.auth_settings.SECRET_KEY.get_secret_value(), + algorithms=[settings_service.auth_settings.ALGORITHM], + ) user_id: UUID = payload.get("sub") # type: ignore token_type: str = payload.get("type") # type: ignore @@ -349,3 +355,4 @@ def decrypt_api_key(encrypted_api_key: str, settings_service=Depends(get_setting encoded_bytes = encrypted_api_key decrypted_key = fernet.decrypt(encoded_bytes).decode() return decrypted_key + return decrypted_key diff --git a/src/backend/base/langflow/services/database/models/__init__.py b/src/backend/base/langflow/services/database/models/__init__.py index 1f19435bd..ce12a6fce 100644 --- a/src/backend/base/langflow/services/database/models/__init__.py +++ b/src/backend/base/langflow/services/database/models/__init__.py @@ -1,6 +1,7 @@ from .api_key import ApiKey from .flow import Flow +from .folder import Folder from .user import User from .variable import Variable -__all__ = ["Flow", "User", "ApiKey", "Variable"] +__all__ = ["Flow", "User", "ApiKey", "Variable", "Folder"] diff --git a/src/backend/base/langflow/services/database/models/api_key/model.py b/src/backend/base/langflow/services/database/models/api_key/model.py index ee0d1e71d..be4e3ed4d 100644 --- a/src/backend/base/langflow/services/database/models/api_key/model.py +++ b/src/backend/base/langflow/services/database/models/api_key/model.py @@ -22,7 +22,7 @@ class ApiKeyBase(SQLModel): class ApiKey(ApiKeyBase, table=True): id: UUID = Field(default_factory=uuid4, primary_key=True, unique=True) - created_at: datetime = Field( + created_at: Optional[datetime] = Field( default=None, sa_column=Column(DateTime(timezone=True), server_default=func.now(), nullable=False) ) api_key: str = Field(index=True, unique=True) diff --git a/src/backend/base/langflow/services/database/models/flow/model.py b/src/backend/base/langflow/services/database/models/flow/model.py index e814d1f3a..17b5e8931 100644 --- a/src/backend/base/langflow/services/database/models/flow/model.py +++ b/src/backend/base/langflow/services/database/models/flow/model.py @@ -1,7 +1,7 @@ # Path: src/backend/langflow/services/database/models/flow/model.py import warnings -from datetime import datetime +from datetime import datetime, timezone from typing import TYPE_CHECKING, Dict, Optional from uuid import UUID, uuid4 @@ -13,6 +13,7 @@ from sqlmodel import JSON, Column, Field, Relationship, SQLModel from langflow.schema.schema import Record if TYPE_CHECKING: + from langflow.services.database.models.folder import Folder from langflow.services.database.models.user import User @@ -23,8 +24,8 @@ class FlowBase(SQLModel): icon_bg_color: Optional[str] = Field(default=None, nullable=True) data: Optional[Dict] = Field(default=None, nullable=True) is_component: Optional[bool] = Field(default=False, nullable=True) - updated_at: Optional[datetime] = Field(default_factory=datetime.utcnow, nullable=True) - folder: Optional[str] = Field(default=None, nullable=True) + updated_at: Optional[datetime] = Field(default_factory=lambda: datetime.now(timezone.utc), nullable=True) + folder_id: Optional[UUID] = Field(default=None, nullable=True) @field_validator("icon_bg_color") def validate_icon_bg_color(cls, v): @@ -112,6 +113,8 @@ class Flow(FlowBase, table=True): data: Optional[Dict] = Field(default=None, sa_column=Column(JSON)) user_id: Optional[UUID] = Field(index=True, foreign_key="user.id", nullable=True) user: "User" = Relationship(back_populates="flows") + folder_id: Optional[UUID] = Field(default=None, foreign_key="folder.id", nullable=True, index=True) + folder: Optional["Folder"] = Relationship(back_populates="flows") def to_record(self): serialized = self.model_dump() @@ -128,14 +131,17 @@ class Flow(FlowBase, table=True): class FlowCreate(FlowBase): user_id: Optional[UUID] = None + folder_id: Optional[UUID] = None class FlowRead(FlowBase): id: UUID user_id: Optional[UUID] = Field() + folder_id: Optional[UUID] = Field() class FlowUpdate(SQLModel): name: Optional[str] = None description: Optional[str] = None data: Optional[Dict] = None + folder_id: Optional[UUID] = None diff --git a/src/backend/base/langflow/services/database/models/folder/__init__.py b/src/backend/base/langflow/services/database/models/folder/__init__.py new file mode 100644 index 000000000..e1d7e97b7 --- /dev/null +++ b/src/backend/base/langflow/services/database/models/folder/__init__.py @@ -0,0 +1,3 @@ +from .model import Folder, FolderCreate, FolderRead, FolderUpdate + +__all__ = ["Folder", "FolderCreate", "FolderRead", "FolderUpdate"] diff --git a/src/backend/base/langflow/services/database/models/folder/constants.py b/src/backend/base/langflow/services/database/models/folder/constants.py new file mode 100644 index 000000000..df71e9edf --- /dev/null +++ b/src/backend/base/langflow/services/database/models/folder/constants.py @@ -0,0 +1,2 @@ +DEFAULT_FOLDER_DESCRIPTION = "Manage your personal projects. Download and upload entire collections." +DEFAULT_FOLDER_NAME = "My Projects" diff --git a/src/backend/base/langflow/services/database/models/folder/model.py b/src/backend/base/langflow/services/database/models/folder/model.py new file mode 100644 index 000000000..6ce038c63 --- /dev/null +++ b/src/backend/base/langflow/services/database/models/folder/model.py @@ -0,0 +1,55 @@ +from typing import TYPE_CHECKING, List, Optional +from uuid import UUID, uuid4 + +from sqlmodel import Field, Relationship, SQLModel + +from langflow.services.database.models.flow.model import FlowRead + +if TYPE_CHECKING: + from langflow.services.database.models.flow.model import Flow + from langflow.services.database.models.user.model import User + + +class FolderBase(SQLModel): + name: str = Field(index=True) + description: Optional[str] = Field(default=None) + + +class Folder(FolderBase, table=True): + id: Optional[UUID] = Field(default_factory=uuid4, primary_key=True) + parent_id: Optional[UUID] = Field(default=None, foreign_key="folder.id") + + parent: Optional["Folder"] = Relationship( + back_populates="children", + sa_relationship_kwargs=dict(remote_side="Folder.id"), + ) + children: List["Folder"] = Relationship(back_populates="parent") + user_id: Optional[UUID] = Field(default=None, foreign_key="user.id") + user: "User" = Relationship(back_populates="folders") + flows: List["Flow"] = Relationship( + back_populates="folder", sa_relationship_kwargs={"cascade": "all, delete, delete-orphan"} + ) + + +class FolderCreate(FolderBase): + components_list: Optional[List[UUID]] = None + flows_list: Optional[List[UUID]] = None + + +class FolderRead(FolderBase): + id: UUID + parent_id: Optional[UUID] = Field() + + +class FolderReadWithFlows(FolderBase): + id: UUID + parent_id: Optional[UUID] = Field() + flows: List["FlowRead"] = Field(default=[]) + + +class FolderUpdate(SQLModel): + name: Optional[str] = None + description: Optional[str] = None + parent_id: Optional[UUID] = None + components: List[UUID] = Field(default_factory=list) + flows: List[UUID] = Field(default_factory=list) diff --git a/src/backend/base/langflow/services/database/models/folder/utils.py b/src/backend/base/langflow/services/database/models/folder/utils.py new file mode 100644 index 000000000..446efb029 --- /dev/null +++ b/src/backend/base/langflow/services/database/models/folder/utils.py @@ -0,0 +1,33 @@ +from typing import TYPE_CHECKING +from uuid import UUID + +from sqlmodel import Session, and_, select, update + +from langflow.services.database.models.flow.model import Flow + +from .constants import DEFAULT_FOLDER_DESCRIPTION, DEFAULT_FOLDER_NAME +from .model import Folder + +if TYPE_CHECKING: + pass + + +def create_default_folder_if_it_doesnt_exist(session: Session, user_id: UUID): + folder = session.exec(select(Folder).where(Folder.user_id == user_id)).first() + if not folder: + folder = Folder(name=DEFAULT_FOLDER_NAME, user_id=user_id, description=DEFAULT_FOLDER_DESCRIPTION) + session.add(folder) + session.commit() + session.refresh(folder) + session.exec( + update(Flow) # type: ignore + .where( + and_( + Flow.folder_id == None, # type: ignore # noqa + Flow.user_id == user_id, + ) + ) + .values(folder_id=folder.id) + ) + session.commit() + return folder diff --git a/src/backend/base/langflow/services/database/models/user/model.py b/src/backend/base/langflow/services/database/models/user/model.py index fa229b4b3..dfc978c27 100644 --- a/src/backend/base/langflow/services/database/models/user/model.py +++ b/src/backend/base/langflow/services/database/models/user/model.py @@ -1,4 +1,4 @@ -from datetime import datetime +from datetime import datetime, timezone from typing import TYPE_CHECKING, Optional from uuid import UUID, uuid4 @@ -8,6 +8,7 @@ if TYPE_CHECKING: from langflow.services.database.models.api_key import ApiKey from langflow.services.database.models.variable import Variable from langflow.services.database.models.flow import Flow + from langflow.services.database.models.folder import Folder class User(SQLModel, table=True): @@ -17,8 +18,8 @@ class User(SQLModel, table=True): profile_image: Optional[str] = Field(default=None, nullable=True) is_active: bool = Field(default=False) is_superuser: bool = Field(default=False) - create_at: datetime = Field(default_factory=datetime.utcnow) - updated_at: datetime = Field(default_factory=datetime.utcnow) + create_at: datetime = Field(default_factory=lambda: datetime.now(timezone.utc)) + updated_at: datetime = Field(default_factory=lambda: datetime.now(timezone.utc)) last_login_at: Optional[datetime] = Field(default=None, nullable=True) api_keys: list["ApiKey"] = Relationship( back_populates="user", @@ -30,6 +31,10 @@ class User(SQLModel, table=True): back_populates="user", sa_relationship_kwargs={"cascade": "delete"}, ) + folders: list["Folder"] = Relationship( + back_populates="user", + sa_relationship_kwargs={"cascade": "delete"}, + ) class UserCreate(SQLModel): diff --git a/src/backend/base/langflow/services/database/models/variable/model.py b/src/backend/base/langflow/services/database/models/variable/model.py index 1fab92b4c..1344dc9c3 100644 --- a/src/backend/base/langflow/services/database/models/variable/model.py +++ b/src/backend/base/langflow/services/database/models/variable/model.py @@ -1,8 +1,8 @@ from datetime import datetime, timezone -from typing import TYPE_CHECKING, Optional +from typing import TYPE_CHECKING, List, Optional from uuid import UUID, uuid4 -from sqlmodel import Column, DateTime, Field, Relationship, SQLModel, func +from sqlmodel import JSON, Column, DateTime, Field, Relationship, SQLModel, func if TYPE_CHECKING: from langflow.services.database.models.user.model import User @@ -13,8 +13,9 @@ def utc_now(): class VariableBase(SQLModel): - name: Optional[str] = Field(None, description="Name of the variable") - value: Optional[str] = Field(None, description="Encrypted value of the variable") + name: str = Field(description="Name of the variable") + value: str = Field(description="Encrypted value of the variable") + default_fields: Optional[List[str]] = Field(sa_column=Column(JSON)) type: Optional[str] = Field(None, description="Type of the variable") @@ -25,7 +26,7 @@ class Variable(VariableBase, table=True): description="Unique ID for the variable", ) # name is unique per user - created_at: datetime = Field( + created_at: Optional[datetime] = Field( default=None, sa_column=Column(DateTime(timezone=True), server_default=func.now(), nullable=True), description="Creation time of the variable", @@ -35,6 +36,7 @@ class Variable(VariableBase, table=True): sa_column=Column(DateTime(timezone=True), nullable=True), description="Last update time of the variable", ) + default_fields: Optional[List[str]] = Field(sa_column=Column(JSON)) # foreign key to user table user_id: UUID = Field(description="User ID associated with this variable", foreign_key="user.id") user: "User" = Relationship(back_populates="variables") @@ -50,9 +52,11 @@ class VariableRead(SQLModel): id: UUID name: Optional[str] = Field(None, description="Name of the variable") type: Optional[str] = Field(None, description="Type of the variable") + default_fields: Optional[List[str]] = Field(None, description="Default fields for the variable") class VariableUpdate(SQLModel): id: UUID # Include the ID for updating name: Optional[str] = Field(None, description="Name of the variable") value: Optional[str] = Field(None, description="Encrypted value of the variable") + default_fields: Optional[List[str]] = Field(None, description="Default fields for the variable") diff --git a/src/backend/base/langflow/services/database/service.py b/src/backend/base/langflow/services/database/service.py index 5ca20c642..14c79f85b 100644 --- a/src/backend/base/langflow/services/database/service.py +++ b/src/backend/base/langflow/services/database/service.py @@ -133,7 +133,7 @@ class DatabaseService(Service): alembic_cfg = Config(stdout=buffer) # alembic_cfg.attributes["connection"] = session alembic_cfg.set_main_option("script_location", str(self.script_location)) - alembic_cfg.set_main_option("sqlalchemy.url", self.database_url.replace('%', '%%')) + alembic_cfg.set_main_option("sqlalchemy.url", self.database_url.replace("%", "%%")) should_initialize_alembic = False with Session(self.engine) as session: @@ -170,9 +170,7 @@ class DatabaseService(Service): except util.exc.AutogenerateDiffsDetected as exc: logger.error(f"AutogenerateDiffsDetected: {exc}") if not fix: - raise RuntimeError( - "Something went wrong running migrations. Please, run `langflow migration --fix`" - ) from exc + raise RuntimeError(f"There's a mismatch between the models and the database.\n{exc}") if fix: self.try_downgrade_upgrade_until_success(alembic_cfg) diff --git a/src/backend/base/langflow/services/monitor/schema.py b/src/backend/base/langflow/services/monitor/schema.py index fefa44bcd..7de817198 100644 --- a/src/backend/base/langflow/services/monitor/schema.py +++ b/src/backend/base/langflow/services/monitor/schema.py @@ -2,15 +2,16 @@ import json from datetime import datetime from typing import TYPE_CHECKING, Any, Optional -from pydantic import BaseModel, Field, field_serializer, validator +from pydantic import BaseModel, Field, field_serializer, field_validator if TYPE_CHECKING: from langflow.schema import Record class TransactionModel(BaseModel): - id: Optional[int] = Field(default=None, alias="id") + index: Optional[int] = Field(default=None) timestamp: Optional[datetime] = Field(default_factory=datetime.now, alias="timestamp") + flow_id: str source: str target: str target_args: dict @@ -22,15 +23,53 @@ class TransactionModel(BaseModel): populate_by_name = True # validate target_args in case it is a JSON - @validator("target_args", pre=True) + @field_validator("target_args", mode="before") def validate_target_args(cls, v): if isinstance(v, str): return json.loads(v) return v + @field_serializer("target_args") + def serialize_target_args(v): + if isinstance(v, dict): + return json.dumps(v) + return v + + +class TransactionModelResponse(BaseModel): + index: Optional[int] = Field(default=None) + timestamp: Optional[datetime] = Field(default_factory=datetime.now, alias="timestamp") + flow_id: str + source: str + target: str + target_args: dict + status: str + error: Optional[str] = None + + class Config: + from_attributes = True + populate_by_name = True + + # validate target_args in case it is a JSON + @field_validator("target_args", mode="before") + def validate_target_args(cls, v): + if isinstance(v, str): + return json.loads(v) + return v + + @field_validator("index", mode="before") + def validate_id(cls, v): + if isinstance(v, float): + try: + return int(v) + except ValueError: + return None + return v + class MessageModel(BaseModel): - id: Optional[int] = Field(default=None, alias="id") + index: Optional[int] = Field(default=None) + flow_id: Optional[str] = Field(default=None, alias="flow_id") timestamp: datetime = Field(default_factory=datetime.now) sender: str sender_name: str @@ -43,13 +82,14 @@ class MessageModel(BaseModel): populate_by_name = True @validator("files", pre=True) + @field_validator("artifacts", mode="before") def validate_target_args(cls, v): if isinstance(v, str): return json.loads(v) return v @classmethod - def from_record(cls, record: "Record"): + def from_record(cls, record: "Record", flow_id: Optional[str] = None): # first check if the record has all the required fields if not record.data or ("sender" not in record.data and "sender_name" not in record.data): raise ValueError("The record does not have the required fields 'sender' and 'sender_name' in the data.") @@ -59,9 +99,31 @@ class MessageModel(BaseModel): message=record.text, session_id=record.session_id, files=record.files or [], + artifacts=record.artifacts or {}, + timestamp=record.timestamp, + flow_id=flow_id, ) +class MessageModelResponse(MessageModel): + index: Optional[int] = Field(default=None) + + @field_validator("artifacts", mode="before") + def serialize_artifacts(v): + if isinstance(v, str): + return json.loads(v) + return v + + @field_validator("index", mode="before") + def validate_id(cls, v): + if isinstance(v, float): + try: + return int(v) + except ValueError: + return None + return v + + class VertexBuildModel(BaseModel): index: Optional[int] = Field(default=None, alias="index", exclude=True) id: Optional[str] = Field(default=None, alias="id") @@ -85,9 +147,12 @@ class VertexBuildModel(BaseModel): elif isinstance(value, list) and all(isinstance(i, BaseModel) for i in value): v[key] = [i.model_dump() for i in value] return json.dumps(v) + elif isinstance(v, BaseModel): + return v.model_dump_json() return v @validator("logs", pre=True) + @field_validator("params", mode="before") def validate_params(cls, v): if isinstance(v, str): try: @@ -102,12 +167,20 @@ class VertexBuildModel(BaseModel): return json.dumps([i.model_dump() for i in v]) return v - @validator("data", pre=True) + @field_validator("data", mode="before") def validate_data(cls, v): if isinstance(v, str): return json.loads(v) return v + @field_validator("artifacts", mode="before") + def validate_artifacts(cls, v): + if isinstance(v, str): + return json.loads(v) + elif isinstance(v, BaseModel): + return v.model_dump() + return v + class VertexBuildResponseModel(VertexBuildModel): messages: list[MessageModel] = [] diff --git a/src/backend/base/langflow/services/monitor/service.py b/src/backend/base/langflow/services/monitor/service.py index 3bcaefe89..4500d081b 100644 --- a/src/backend/base/langflow/services/monitor/service.py +++ b/src/backend/base/langflow/services/monitor/service.py @@ -21,7 +21,7 @@ class MonitorService(Service): self.settings_service = settings_service self.base_cache_dir = Path(user_cache_dir("langflow")) self.db_path = self.base_cache_dir / "monitor.duckdb" - self.table_map = { + self.table_map: dict[str, type[TransactionModel | MessageModel | VertexBuildModel]] = { "transactions": TransactionModel, "messages": MessageModel, "vertex_builds": VertexBuildModel, @@ -109,6 +109,7 @@ class MonitorService(Service): def get_messages( self, + flow_id: Optional[str] = None, sender: Optional[str] = None, sender_name: Optional[str] = None, session_id: Optional[str] = None, @@ -116,7 +117,7 @@ class MonitorService(Service): order: Optional[str] = "DESC", limit: Optional[int] = None, ): - query = "SELECT sender_name, sender, session_id, message, artifacts, timestamp FROM messages" + query = "SELECT index, flow_id, sender_name, sender, session_id, message, artifacts, timestamp FROM messages" conditions = [] if sender: conditions.append(f"sender = '{sender}'") @@ -124,6 +125,8 @@ class MonitorService(Service): conditions.append(f"sender_name = '{sender_name}'") if session_id: conditions.append(f"session_id = '{session_id}'") + if flow_id: + conditions.append(f"flow_id = '{flow_id}'") if conditions: query += " WHERE " + " AND ".join(conditions) @@ -146,8 +149,9 @@ class MonitorService(Service): target: Optional[str] = None, status: Optional[str] = None, order_by: Optional[str] = "timestamp", + flow_id: Optional[str] = None, ): - query = "SELECT source, target, target_args, status, error, timestamp FROM transactions" + query = "SELECT index,flow_id, source, target, target_args, status, error, timestamp FROM transactions" conditions = [] if source: conditions.append(f"source = '{source}'") @@ -155,6 +159,8 @@ class MonitorService(Service): conditions.append(f"target = '{target}'") if status: conditions.append(f"status = '{status}'") + if flow_id: + conditions.append(f"flow_id = '{flow_id}'") if conditions: query += " WHERE " + " AND ".join(conditions) diff --git a/src/backend/base/langflow/services/monitor/utils.py b/src/backend/base/langflow/services/monitor/utils.py index b746994b3..498cf0175 100644 --- a/src/backend/base/langflow/services/monitor/utils.py +++ b/src/backend/base/langflow/services/monitor/utils.py @@ -61,7 +61,7 @@ def drop_and_create_table_if_schema_mismatch(db_path: str, table_name: str, mode if current_schema != desired_schema: # If they don't match, drop the existing table and create a new one conn.execute(f"DROP TABLE IF EXISTS {table_name}") - if "id" in desired_schema.keys(): + if INDEX_KEY in desired_schema.keys(): # Create a sequence for the id column try: conn.execute(f"CREATE SEQUENCE seq_{table_name} START 1;") @@ -91,7 +91,7 @@ def add_row_to_table( columns = ", ".join(keys) values_placeholders = ", ".join(["?" for _ in keys]) - values = list(validated_dict.values()) + values = [validated_dict[key] for key in keys] # Create the insert statement insert_sql = f"INSERT INTO {table_name} ({columns}) VALUES ({values_placeholders})" @@ -101,10 +101,16 @@ def add_row_to_table( conn.execute(insert_sql, values) except Exception as e: # Log values types + column_error_message = "" for key, value in validated_dict.items(): logger.error(f"{key}: {type(value)}") + if str(value) in str(e): + column_error_message = f"Column: {key} Value: {value} Error: {e}" - logger.error(f"Error adding row to table: {e}") + if column_error_message: + logger.error(f"Error adding row to {table_name}: {column_error_message}") + else: + logger.error(f"Error adding row to {table_name}: {e}") async def log_message( @@ -113,6 +119,7 @@ async def log_message( message: str, session_id: str, artifacts: Optional[dict] = None, + flow_id: Optional[str] = None, ): try: from langflow.graph.vertex.base import Vertex @@ -128,6 +135,7 @@ async def log_message( "artifacts": artifacts or {}, "session_id": session_id, "timestamp": monitor_service.get_timestamp(), + "flow_id": flow_id, } monitor_service.add_row(table_name="messages", data=row) except Exception as e: diff --git a/src/backend/base/langflow/services/settings/base.py b/src/backend/base/langflow/services/settings/base.py index db6ba1022..97abf2d2b 100644 --- a/src/backend/base/langflow/services/settings/base.py +++ b/src/backend/base/langflow/services/settings/base.py @@ -7,13 +7,12 @@ from typing import Any, List, Optional, Tuple, Type import orjson import yaml +from langflow.services.settings.constants import VARIABLES_TO_GET_FROM_ENVIRONMENT from loguru import logger -from pydantic import field_validator, validator +from pydantic import field_validator from pydantic.fields import FieldInfo from pydantic_settings import BaseSettings, EnvSettingsSource, PydanticBaseSettingsSource, SettingsConfigDict -from langflow.services.settings.constants import VARIABLES_TO_GET_FROM_ENVIRONMENT - # BASE_COMPONENTS_PATH = str(Path(__file__).parent / "components") BASE_COMPONENTS_PATH = str(Path(__file__).parent.parent.parent / "components") @@ -72,11 +71,14 @@ class Settings(BaseSettings): TOOLKITS: dict = {} TEXTSPLITTERS: dict = {} UTILITIES: dict = {} - OUTPUT_PARSERS: dict = {} CUSTOM_COMPONENTS: dict = {} # Define the default LANGFLOW_DIR CONFIG_DIR: Optional[str] = None + # Define if langflow db should be saved in config dir or + # in the langflow directory + SAVE_DB_IN_CONFIG_DIR: bool = False + """Define if langflow database should be saved in LANGFLOW_CONFIG_DIR or in the langflow directory (i.e. in the package directory).""" DEV: bool = False DATABASE_URL: Optional[str] = None @@ -109,12 +111,16 @@ class Settings(BaseSettings): CELERY_ENABLED: bool = False + fallback_to_env_var: bool = True + """If set to True, Global Variables set in the UI will fallback to a environment variable + with the same name in case Langflow fails to retrieve the variable value.""" + store_environment_variables: bool = True """Whether to store environment variables as Global Variables in the database.""" variables_to_get_from_environment: list[str] = VARIABLES_TO_GET_FROM_ENVIRONMENT """List of environment variables to get from the environment and store in the database.""" - @validator("CONFIG_DIR", pre=True, allow_reuse=True) + @field_validator("CONFIG_DIR", mode="before") def set_langflow_dir(cls, value): if not value: from platformdirs import user_cache_dir @@ -137,8 +143,8 @@ class Settings(BaseSettings): return str(value) - @validator("DATABASE_URL", pre=True) - def set_database_url(cls, value, values): + @field_validator("DATABASE_URL", mode="before") + def set_database_url(cls, value, info): if not value: logger.debug("No database_url provided, trying LANGFLOW_DATABASE_URL env variable") if langflow_database_url := os.getenv("LANGFLOW_DATABASE_URL"): @@ -149,29 +155,36 @@ class Settings(BaseSettings): # Originally, we used sqlite:///./langflow.db # so we need to migrate to the new format # if there is a database in that location - if not values["CONFIG_DIR"]: + if not info.data["CONFIG_DIR"]: raise ValueError("CONFIG_DIR not set, please set it or provide a DATABASE_URL") from langflow.version import is_pre_release # type: ignore + if info.data["SAVE_DB_IN_CONFIG_DIR"]: + database_dir = info.data["CONFIG_DIR"] + logger.debug(f"Saving database to CONFIG_DIR: {database_dir}") + else: + database_dir = Path(__file__).parent.parent.parent.resolve() + logger.debug(f"Saving database to langflow directory: {database_dir}") + pre_db_file_name = "langflow-pre.db" db_file_name = "langflow.db" - new_pre_path = f"{values['CONFIG_DIR']}/{pre_db_file_name}" - new_path = f"{values['CONFIG_DIR']}/{db_file_name}" + new_pre_path = f"{database_dir}/{pre_db_file_name}" + new_path = f"{database_dir}/{db_file_name}" final_path = None if is_pre_release: if Path(new_pre_path).exists(): final_path = new_pre_path - elif Path(new_path).exists(): + elif Path(new_path).exists() and info.data["SAVE_DB_IN_CONFIG_DIR"]: # We need to copy the current db to the new location logger.debug("Copying existing database to new location") copy2(new_path, new_pre_path) logger.debug(f"Copied existing database to {new_pre_path}") - elif Path(f"./{db_file_name}").exists(): + elif Path(f"./{db_file_name}").exists() and info.data["SAVE_DB_IN_CONFIG_DIR"]: logger.debug("Copying existing database to new location") copy2(f"./{db_file_name}", new_pre_path) logger.debug(f"Copied existing database to {new_pre_path}") else: - logger.debug(f"Database already exists at {new_pre_path}, using it") + logger.debug(f"Creating new database at {new_pre_path}") final_path = new_pre_path else: if Path(new_path).exists(): @@ -241,7 +254,6 @@ class Settings(BaseSettings): self.VECTORSTORES = new_settings.VECTORSTORES or {} self.DOCUMENTLOADERS = new_settings.DOCUMENTLOADERS or {} self.RETRIEVERS = new_settings.RETRIEVERS or {} - self.OUTPUT_PARSERS = new_settings.OUTPUT_PARSERS or {} self.CUSTOM_COMPONENTS = new_settings.CUSTOM_COMPONENTS or {} self.COMPONENTS_PATH = new_settings.COMPONENTS_PATH or [] self.DEV = dev @@ -313,3 +325,6 @@ def load_settings_from_yaml(file_path: str) -> Settings: logger.debug(f"Loading {len(settings_dict[key])} {key} from {file_path}") return Settings(**settings_dict) + return Settings(**settings_dict) + return Settings(**settings_dict) + return Settings(**settings_dict) diff --git a/src/backend/base/langflow/services/settings/constants.py b/src/backend/base/langflow/services/settings/constants.py index 323f53a01..37c2f1db7 100644 --- a/src/backend/base/langflow/services/settings/constants.py +++ b/src/backend/base/langflow/services/settings/constants.py @@ -12,7 +12,9 @@ VARIABLES_TO_GET_FROM_ENVIRONMENT = [ "ASTRA_DB_APPLICATION_TOKEN", "ASTRA_DB_API_ENDPOINT", "COHERE_API_KEY", + "GROQ_API_KEY", "HUGGINGFACEHUB_API_TOKEN", + "PINECONE_API_KEY", "SEARCHAPI_API_KEY", "SERPAPI_API_KEY", "VECTARA_CUSTOMER_ID", diff --git a/src/backend/base/langflow/services/settings/service.py b/src/backend/base/langflow/services/settings/service.py index a66888924..160c266ec 100644 --- a/src/backend/base/langflow/services/settings/service.py +++ b/src/backend/base/langflow/services/settings/service.py @@ -1,11 +1,10 @@ import os import yaml -from loguru import logger - from langflow.services.base import Service from langflow.services.settings.auth import AuthSettings from langflow.services.settings.base import Settings +from loguru import logger class SettingsService(Service): @@ -31,7 +30,7 @@ class SettingsService(Service): for key in settings_dict: if key not in Settings.model_fields.keys(): - raise KeyError(f"Key {key} not found in settings") + logger.warning(f"Key {key} not found in settings") logger.debug(f"Loading {len(settings_dict[key])} {key} from {file_path}") settings = Settings(**settings_dict) diff --git a/src/backend/base/langflow/services/store/service.py b/src/backend/base/langflow/services/store/service.py index b25599297..4fabd435c 100644 --- a/src/backend/base/langflow/services/store/service.py +++ b/src/backend/base/langflow/services/store/service.py @@ -49,6 +49,27 @@ async def user_data_context(store_service: "StoreService", api_key: Optional[str user_data_var.set(None) +def get_id_from_search_string(search_string: str) -> Optional[str]: + """ + Extracts the ID from a search string. + + Args: + search_string (str): The search string to extract the ID from. + + Returns: + Optional[str]: The extracted ID, or None if no ID is found. + """ + possible_id: Optional[str] = search_string + if "www.langflow.store/store/" in search_string: + possible_id = search_string.split("/")[-1] + + try: + possible_id = str(UUID(search_string)) + except ValueError: + possible_id = None + return possible_id + + class StoreService(Service): """This is a service that integrates langflow with the store which is a Directus instance. It allows to search, get and post components to @@ -183,7 +204,10 @@ class StoreService(Service): ): filter_conditions = [] - if search is not None: + if component_id is None: + component_id = get_id_from_search_string(search) if search else None + + if search is not None and component_id is None: search_conditions = self.build_search_filter_conditions(search) filter_conditions.append(search_conditions) diff --git a/src/backend/base/langflow/services/variable/service.py b/src/backend/base/langflow/services/variable/service.py index ef23a95a2..84671e0f9 100644 --- a/src/backend/base/langflow/services/variable/service.py +++ b/src/backend/base/langflow/services/variable/service.py @@ -29,10 +29,23 @@ class VariableService(Service): for var in self.settings_service.settings.variables_to_get_from_environment: if var in os.environ: logger.debug(f"Creating {var} variable from environment.") - try: - self.create_variable(user_id, var, os.environ[var], _type="Credential", session=session) - except Exception as e: - logger.error(f"Error creating {var} variable: {e}") + if not session.exec( + select(Variable).where(Variable.user_id == user_id, Variable.name == var) + ).first(): + try: + value = os.environ[var] + if isinstance(value, str): + value = value.strip() + self.create_variable( + user_id=user_id, + name=var, + value=value, + default_fields=[], + _type="Credential", + session=session, + ) + except Exception as e: + logger.error(f"Error creating {var} variable: {e}") else: logger.info("Skipping environment variable storage.") @@ -91,6 +104,7 @@ class VariableService(Service): user_id: Union[UUID, str], name: str, value: str, + default_fields: list[str] = [], _type: str = "Generic", session: Session = Depends(get_session), ): @@ -98,6 +112,7 @@ class VariableService(Service): name=name, type=_type, value=auth_utils.encrypt_api_key(value, settings_service=self.settings_service), + default_fields=default_fields, ) variable = Variable.model_validate(variable_base, from_attributes=True, update={"user_id": user_id}) session.add(variable) diff --git a/src/backend/base/langflow/settings.py b/src/backend/base/langflow/settings.py index 9cc761b68..3f340df95 100644 --- a/src/backend/base/langflow/settings.py +++ b/src/backend/base/langflow/settings.py @@ -28,7 +28,6 @@ class Settings(BaseSettings): TOOLKITS: dict = {} TEXTSPLITTERS: dict = {} UTILITIES: dict = {} - OUTPUT_PARSERS: dict = {} CUSTOM_COMPONENTS: dict = {} DEV: bool = False @@ -102,7 +101,6 @@ class Settings(BaseSettings): self.VECTORSTORES = new_settings.VECTORSTORES or {} self.DOCUMENTLOADERS = new_settings.DOCUMENTLOADERS or {} self.RETRIEVERS = new_settings.RETRIEVERS or {} - self.OUTPUT_PARSERS = new_settings.OUTPUT_PARSERS or {} self.CUSTOM_COMPONENTS = new_settings.CUSTOM_COMPONENTS or {} self.COMPONENTS_PATH = new_settings.COMPONENTS_PATH or [] self.DEV = dev diff --git a/src/backend/base/langflow/template/field/prompt.py b/src/backend/base/langflow/template/field/prompt.py index 72c57c5db..ccc5d01a0 100644 --- a/src/backend/base/langflow/template/field/prompt.py +++ b/src/backend/base/langflow/template/field/prompt.py @@ -10,5 +10,5 @@ class DefaultPromptField(TemplateField): advanced: bool = False multiline: bool = True - input_types: list[str] = ["Document", "BaseOutputParser", "Record", "Text"] + input_types: list[str] = ["Document", "Record", "Text"] value: str = "" # Set the value to empty string diff --git a/src/backend/base/langflow/template/frontend_node/custom_components.py b/src/backend/base/langflow/template/frontend_node/custom_components.py index 456aa7466..577c89684 100644 --- a/src/backend/base/langflow/template/frontend_node/custom_components.py +++ b/src/backend/base/langflow/template/frontend_node/custom_components.py @@ -14,7 +14,6 @@ from langflow.field_typing import ( BaseLLM, BaseLoader, BaseMemory, - BaseOutputParser, BasePromptTemplate, BaseRetriever, Callable, diff --git a/src/backend/base/langflow/template/frontend_node/output_parsers.py b/src/backend/base/langflow/template/frontend_node/output_parsers.py deleted file mode 100644 index 6b33ee680..000000000 --- a/src/backend/base/langflow/template/frontend_node/output_parsers.py +++ /dev/null @@ -1,12 +0,0 @@ -from typing import Optional - - -from langflow.template.field.base import TemplateField -from langflow.template.frontend_node.base import FrontendNode - - -class OutputParserFrontendNode(FrontendNode): - @staticmethod - def format_field(field: TemplateField, name: Optional[str] = None) -> None: - FrontendNode.format_field(field, name) - field.show = True diff --git a/src/backend/base/langflow/utils/constants.py b/src/backend/base/langflow/utils/constants.py index ac0a03fdf..99ac950d3 100644 --- a/src/backend/base/langflow/utils/constants.py +++ b/src/backend/base/langflow/utils/constants.py @@ -8,6 +8,7 @@ OPENAI_MODELS = [ "text-ada-001", ] CHAT_OPENAI_MODELS = [ + "gpt-4o", "gpt-4-turbo-preview", "gpt-4-0125-preview", "gpt-4-1106-preview", diff --git a/src/backend/base/langflow/utils/schemas.py b/src/backend/base/langflow/utils/schemas.py index da2e1a640..cc7776460 100644 --- a/src/backend/base/langflow/utils/schemas.py +++ b/src/backend/base/langflow/utils/schemas.py @@ -96,6 +96,12 @@ class ChatOutputResponse(BaseModel): return self +class RecordOutputResponse(BaseModel): + """Record output response schema.""" + + records: List[Optional[Dict]] + + class ContainsEnumMeta(enum.EnumMeta): def __contains__(cls, item): try: diff --git a/src/backend/base/poetry.lock b/src/backend/base/poetry.lock index 7a8067103..653359b34 100644 --- a/src/backend/base/poetry.lock +++ b/src/backend/base/poetry.lock @@ -1,4 +1,4 @@ -# This file is automatically @generated by Poetry 1.8.2 and should not be changed by hand. +# This file is automatically @generated by Poetry 1.8.3 and should not be changed by hand. [[package]] name = "aiohttp" @@ -131,13 +131,13 @@ tz = ["backports.zoneinfo"] [[package]] name = "annotated-types" -version = "0.6.0" +version = "0.7.0" description = "Reusable constraint types to use with typing.Annotated" optional = false python-versions = ">=3.8" files = [ - {file = "annotated_types-0.6.0-py3-none-any.whl", hash = "sha256:0641064de18ba7a25dee8f96403ebc39113d0cb953a01429249d5c7564666a43"}, - {file = "annotated_types-0.6.0.tar.gz", hash = "sha256:563339e807e53ffd9c267e99fc6d9ea23eb8443c08f112651963e24e22f84a5d"}, + {file = "annotated_types-0.7.0-py3-none-any.whl", hash = "sha256:1f02e8b43a8fbbc3f3e0d4f0f4bfc8131bcb4eebe8849b8e5c773f3a1c582a53"}, + {file = "annotated_types-0.7.0.tar.gz", hash = "sha256:aff07c09a53a08bc8cfccb9c85b05f1aa9a2a6f23728d790723543408344ce89"}, ] [[package]] @@ -463,43 +463,43 @@ files = [ [[package]] name = "cryptography" -version = "42.0.5" +version = "42.0.7" description = "cryptography is a package which provides cryptographic recipes and primitives to Python developers." optional = false python-versions = ">=3.7" files = [ - {file = "cryptography-42.0.5-cp37-abi3-macosx_10_12_universal2.whl", hash = "sha256:a30596bae9403a342c978fb47d9b0ee277699fa53bbafad14706af51fe543d16"}, - {file = "cryptography-42.0.5-cp37-abi3-macosx_10_12_x86_64.whl", hash = "sha256:b7ffe927ee6531c78f81aa17e684e2ff617daeba7f189f911065b2ea2d526dec"}, - {file = "cryptography-42.0.5-cp37-abi3-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:2424ff4c4ac7f6b8177b53c17ed5d8fa74ae5955656867f5a8affaca36a27abb"}, - {file = "cryptography-42.0.5-cp37-abi3-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:329906dcc7b20ff3cad13c069a78124ed8247adcac44b10bea1130e36caae0b4"}, - {file = "cryptography-42.0.5-cp37-abi3-manylinux_2_28_aarch64.whl", hash = "sha256:b03c2ae5d2f0fc05f9a2c0c997e1bc18c8229f392234e8a0194f202169ccd278"}, - {file = "cryptography-42.0.5-cp37-abi3-manylinux_2_28_x86_64.whl", hash = "sha256:f8837fe1d6ac4a8052a9a8ddab256bc006242696f03368a4009be7ee3075cdb7"}, - {file = "cryptography-42.0.5-cp37-abi3-musllinux_1_1_aarch64.whl", hash = "sha256:0270572b8bd2c833c3981724b8ee9747b3ec96f699a9665470018594301439ee"}, - {file = "cryptography-42.0.5-cp37-abi3-musllinux_1_1_x86_64.whl", hash = "sha256:b8cac287fafc4ad485b8a9b67d0ee80c66bf3574f655d3b97ef2e1082360faf1"}, - {file = "cryptography-42.0.5-cp37-abi3-musllinux_1_2_aarch64.whl", hash = "sha256:16a48c23a62a2f4a285699dba2e4ff2d1cff3115b9df052cdd976a18856d8e3d"}, - {file = "cryptography-42.0.5-cp37-abi3-musllinux_1_2_x86_64.whl", hash = "sha256:2bce03af1ce5a5567ab89bd90d11e7bbdff56b8af3acbbec1faded8f44cb06da"}, - {file = "cryptography-42.0.5-cp37-abi3-win32.whl", hash = "sha256:b6cd2203306b63e41acdf39aa93b86fb566049aeb6dc489b70e34bcd07adca74"}, - {file = "cryptography-42.0.5-cp37-abi3-win_amd64.whl", hash = "sha256:98d8dc6d012b82287f2c3d26ce1d2dd130ec200c8679b6213b3c73c08b2b7940"}, - {file = "cryptography-42.0.5-cp39-abi3-macosx_10_12_universal2.whl", hash = "sha256:5e6275c09d2badf57aea3afa80d975444f4be8d3bc58f7f80d2a484c6f9485c8"}, - {file = "cryptography-42.0.5-cp39-abi3-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:e4985a790f921508f36f81831817cbc03b102d643b5fcb81cd33df3fa291a1a1"}, - {file = "cryptography-42.0.5-cp39-abi3-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:7cde5f38e614f55e28d831754e8a3bacf9ace5d1566235e39d91b35502d6936e"}, - {file = "cryptography-42.0.5-cp39-abi3-manylinux_2_28_aarch64.whl", hash = "sha256:7367d7b2eca6513681127ebad53b2582911d1736dc2ffc19f2c3ae49997496bc"}, - {file = "cryptography-42.0.5-cp39-abi3-manylinux_2_28_x86_64.whl", hash = "sha256:cd2030f6650c089aeb304cf093f3244d34745ce0cfcc39f20c6fbfe030102e2a"}, - {file = "cryptography-42.0.5-cp39-abi3-musllinux_1_1_aarch64.whl", hash = "sha256:a2913c5375154b6ef2e91c10b5720ea6e21007412f6437504ffea2109b5a33d7"}, - {file = "cryptography-42.0.5-cp39-abi3-musllinux_1_1_x86_64.whl", hash = "sha256:c41fb5e6a5fe9ebcd58ca3abfeb51dffb5d83d6775405305bfa8715b76521922"}, - {file = "cryptography-42.0.5-cp39-abi3-musllinux_1_2_aarch64.whl", hash = "sha256:3eaafe47ec0d0ffcc9349e1708be2aaea4c6dd4978d76bf6eb0cb2c13636c6fc"}, - {file = "cryptography-42.0.5-cp39-abi3-musllinux_1_2_x86_64.whl", hash = "sha256:1b95b98b0d2af784078fa69f637135e3c317091b615cd0905f8b8a087e86fa30"}, - {file = "cryptography-42.0.5-cp39-abi3-win32.whl", hash = "sha256:1f71c10d1e88467126f0efd484bd44bca5e14c664ec2ede64c32f20875c0d413"}, - {file = "cryptography-42.0.5-cp39-abi3-win_amd64.whl", hash = "sha256:a011a644f6d7d03736214d38832e030d8268bcff4a41f728e6030325fea3e400"}, - {file = "cryptography-42.0.5-pp310-pypy310_pp73-macosx_10_12_x86_64.whl", hash = "sha256:9481ffe3cf013b71b2428b905c4f7a9a4f76ec03065b05ff499bb5682a8d9ad8"}, - {file = "cryptography-42.0.5-pp310-pypy310_pp73-manylinux_2_28_aarch64.whl", hash = "sha256:ba334e6e4b1d92442b75ddacc615c5476d4ad55cc29b15d590cc6b86efa487e2"}, - {file = "cryptography-42.0.5-pp310-pypy310_pp73-manylinux_2_28_x86_64.whl", hash = "sha256:ba3e4a42397c25b7ff88cdec6e2a16c2be18720f317506ee25210f6d31925f9c"}, - {file = "cryptography-42.0.5-pp310-pypy310_pp73-win_amd64.whl", hash = "sha256:111a0d8553afcf8eb02a4fea6ca4f59d48ddb34497aa8706a6cf536f1a5ec576"}, - {file = "cryptography-42.0.5-pp39-pypy39_pp73-macosx_10_12_x86_64.whl", hash = "sha256:cd65d75953847815962c84a4654a84850b2bb4aed3f26fadcc1c13892e1e29f6"}, - {file = "cryptography-42.0.5-pp39-pypy39_pp73-manylinux_2_28_aarch64.whl", hash = "sha256:e807b3188f9eb0eaa7bbb579b462c5ace579f1cedb28107ce8b48a9f7ad3679e"}, - {file = "cryptography-42.0.5-pp39-pypy39_pp73-manylinux_2_28_x86_64.whl", hash = "sha256:f12764b8fffc7a123f641d7d049d382b73f96a34117e0b637b80643169cec8ac"}, - {file = "cryptography-42.0.5-pp39-pypy39_pp73-win_amd64.whl", hash = "sha256:37dd623507659e08be98eec89323469e8c7b4c1407c85112634ae3dbdb926fdd"}, - {file = "cryptography-42.0.5.tar.gz", hash = "sha256:6fe07eec95dfd477eb9530aef5bead34fec819b3aaf6c5bd6d20565da607bfe1"}, + {file = "cryptography-42.0.7-cp37-abi3-macosx_10_12_universal2.whl", hash = "sha256:a987f840718078212fdf4504d0fd4c6effe34a7e4740378e59d47696e8dfb477"}, + {file = "cryptography-42.0.7-cp37-abi3-macosx_10_12_x86_64.whl", hash = "sha256:bd13b5e9b543532453de08bcdc3cc7cebec6f9883e886fd20a92f26940fd3e7a"}, + {file = "cryptography-42.0.7-cp37-abi3-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:a79165431551042cc9d1d90e6145d5d0d3ab0f2d66326c201d9b0e7f5bf43604"}, + {file = "cryptography-42.0.7-cp37-abi3-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:a47787a5e3649008a1102d3df55424e86606c9bae6fb77ac59afe06d234605f8"}, + {file = "cryptography-42.0.7-cp37-abi3-manylinux_2_28_aarch64.whl", hash = "sha256:02c0eee2d7133bdbbc5e24441258d5d2244beb31da5ed19fbb80315f4bbbff55"}, + {file = "cryptography-42.0.7-cp37-abi3-manylinux_2_28_x86_64.whl", hash = "sha256:5e44507bf8d14b36b8389b226665d597bc0f18ea035d75b4e53c7b1ea84583cc"}, + {file = "cryptography-42.0.7-cp37-abi3-musllinux_1_1_aarch64.whl", hash = "sha256:7f8b25fa616d8b846aef64b15c606bb0828dbc35faf90566eb139aa9cff67af2"}, + {file = "cryptography-42.0.7-cp37-abi3-musllinux_1_1_x86_64.whl", hash = "sha256:93a3209f6bb2b33e725ed08ee0991b92976dfdcf4e8b38646540674fc7508e13"}, + {file = "cryptography-42.0.7-cp37-abi3-musllinux_1_2_aarch64.whl", hash = "sha256:e6b8f1881dac458c34778d0a424ae5769de30544fc678eac51c1c8bb2183e9da"}, + {file = "cryptography-42.0.7-cp37-abi3-musllinux_1_2_x86_64.whl", hash = "sha256:3de9a45d3b2b7d8088c3fbf1ed4395dfeff79d07842217b38df14ef09ce1d8d7"}, + {file = "cryptography-42.0.7-cp37-abi3-win32.whl", hash = "sha256:789caea816c6704f63f6241a519bfa347f72fbd67ba28d04636b7c6b7da94b0b"}, + {file = "cryptography-42.0.7-cp37-abi3-win_amd64.whl", hash = "sha256:8cb8ce7c3347fcf9446f201dc30e2d5a3c898d009126010cbd1f443f28b52678"}, + {file = "cryptography-42.0.7-cp39-abi3-macosx_10_12_universal2.whl", hash = "sha256:a3a5ac8b56fe37f3125e5b72b61dcde43283e5370827f5233893d461b7360cd4"}, + {file = "cryptography-42.0.7-cp39-abi3-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:779245e13b9a6638df14641d029add5dc17edbef6ec915688f3acb9e720a5858"}, + {file = "cryptography-42.0.7-cp39-abi3-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:0d563795db98b4cd57742a78a288cdbdc9daedac29f2239793071fe114f13785"}, + {file = "cryptography-42.0.7-cp39-abi3-manylinux_2_28_aarch64.whl", hash = "sha256:31adb7d06fe4383226c3e963471f6837742889b3c4caa55aac20ad951bc8ffda"}, + {file = "cryptography-42.0.7-cp39-abi3-manylinux_2_28_x86_64.whl", hash = "sha256:efd0bf5205240182e0f13bcaea41be4fdf5c22c5129fc7ced4a0282ac86998c9"}, + {file = "cryptography-42.0.7-cp39-abi3-musllinux_1_1_aarch64.whl", hash = "sha256:a9bc127cdc4ecf87a5ea22a2556cab6c7eda2923f84e4f3cc588e8470ce4e42e"}, + {file = "cryptography-42.0.7-cp39-abi3-musllinux_1_1_x86_64.whl", hash = "sha256:3577d029bc3f4827dd5bf8bf7710cac13527b470bbf1820a3f394adb38ed7d5f"}, + {file = "cryptography-42.0.7-cp39-abi3-musllinux_1_2_aarch64.whl", hash = "sha256:2e47577f9b18723fa294b0ea9a17d5e53a227867a0a4904a1a076d1646d45ca1"}, + {file = "cryptography-42.0.7-cp39-abi3-musllinux_1_2_x86_64.whl", hash = "sha256:1a58839984d9cb34c855197043eaae2c187d930ca6d644612843b4fe8513c886"}, + {file = "cryptography-42.0.7-cp39-abi3-win32.whl", hash = "sha256:e6b79d0adb01aae87e8a44c2b64bc3f3fe59515280e00fb6d57a7267a2583cda"}, + {file = "cryptography-42.0.7-cp39-abi3-win_amd64.whl", hash = "sha256:16268d46086bb8ad5bf0a2b5544d8a9ed87a0e33f5e77dd3c3301e63d941a83b"}, + {file = "cryptography-42.0.7-pp310-pypy310_pp73-macosx_10_12_x86_64.whl", hash = "sha256:2954fccea107026512b15afb4aa664a5640cd0af630e2ee3962f2602693f0c82"}, + {file = "cryptography-42.0.7-pp310-pypy310_pp73-manylinux_2_28_aarch64.whl", hash = "sha256:362e7197754c231797ec45ee081f3088a27a47c6c01eff2ac83f60f85a50fe60"}, + {file = "cryptography-42.0.7-pp310-pypy310_pp73-manylinux_2_28_x86_64.whl", hash = "sha256:4f698edacf9c9e0371112792558d2f705b5645076cc0aaae02f816a0171770fd"}, + {file = "cryptography-42.0.7-pp310-pypy310_pp73-win_amd64.whl", hash = "sha256:5482e789294854c28237bba77c4c83be698be740e31a3ae5e879ee5444166582"}, + {file = "cryptography-42.0.7-pp39-pypy39_pp73-macosx_10_12_x86_64.whl", hash = "sha256:e9b2a6309f14c0497f348d08a065d52f3020656f675819fc405fb63bbcd26562"}, + {file = "cryptography-42.0.7-pp39-pypy39_pp73-manylinux_2_28_aarch64.whl", hash = "sha256:d8e3098721b84392ee45af2dd554c947c32cc52f862b6a3ae982dbb90f577f14"}, + {file = "cryptography-42.0.7-pp39-pypy39_pp73-manylinux_2_28_x86_64.whl", hash = "sha256:c65f96dad14f8528a447414125e1fc8feb2ad5a272b8f68477abbcc1ea7d94b9"}, + {file = "cryptography-42.0.7-pp39-pypy39_pp73-win_amd64.whl", hash = "sha256:36017400817987670037fbb0324d71489b6ead6231c9604f8fc1f7d008087c68"}, + {file = "cryptography-42.0.7.tar.gz", hash = "sha256:ecbfbc00bf55888edda9868a4cf927205de8499e7fabe6c050322298382953f2"}, ] [package.dependencies] @@ -517,13 +517,13 @@ test-randomorder = ["pytest-randomly"] [[package]] name = "dataclasses-json" -version = "0.6.4" +version = "0.6.6" description = "Easily serialize dataclasses to and from JSON." optional = false -python-versions = ">=3.7,<4.0" +python-versions = "<4.0,>=3.7" files = [ - {file = "dataclasses_json-0.6.4-py3-none-any.whl", hash = "sha256:f90578b8a3177f7552f4e1a6e535e84293cd5da421fcce0642d49c0d7bdf8df2"}, - {file = "dataclasses_json-0.6.4.tar.gz", hash = "sha256:73696ebf24936560cca79a2430cbc4f3dd23ac7bf46ed17f38e5e5e7657a6377"}, + {file = "dataclasses_json-0.6.6-py3-none-any.whl", hash = "sha256:e54c5c87497741ad454070ba0ed411523d46beb5da102e221efb873801b0ba85"}, + {file = "dataclasses_json-0.6.6.tar.gz", hash = "sha256:0c09827d26fffda27f1be2fed7a7a01a29c5ddcd2eb6393ad5ebf9d77e9deae8"}, ] [package.dependencies] @@ -558,50 +558,58 @@ files = [ [[package]] name = "duckdb" -version = "0.9.2" -description = "DuckDB embedded database" +version = "0.10.3" +description = "DuckDB in-process database" optional = false python-versions = ">=3.7.0" files = [ - {file = "duckdb-0.9.2-cp310-cp310-macosx_10_9_universal2.whl", hash = "sha256:aadcea5160c586704c03a8a796c06a8afffbefefb1986601104a60cb0bfdb5ab"}, - {file = "duckdb-0.9.2-cp310-cp310-macosx_10_9_x86_64.whl", hash = "sha256:08215f17147ed83cbec972175d9882387366de2ed36c21cbe4add04b39a5bcb4"}, - {file = "duckdb-0.9.2-cp310-cp310-macosx_11_0_arm64.whl", hash = "sha256:ee6c2a8aba6850abef5e1be9dbc04b8e72a5b2c2b67f77892317a21fae868fe7"}, - {file = "duckdb-0.9.2-cp310-cp310-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:1ff49f3da9399900fd58b5acd0bb8bfad22c5147584ad2427a78d937e11ec9d0"}, - {file = "duckdb-0.9.2-cp310-cp310-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:dd5ac5baf8597efd2bfa75f984654afcabcd698342d59b0e265a0bc6f267b3f0"}, - {file = "duckdb-0.9.2-cp310-cp310-musllinux_1_1_x86_64.whl", hash = "sha256:81c6df905589a1023a27e9712edb5b724566587ef280a0c66a7ec07c8083623b"}, - {file = "duckdb-0.9.2-cp310-cp310-win32.whl", hash = "sha256:a298cd1d821c81d0dec8a60878c4b38c1adea04a9675fb6306c8f9083bbf314d"}, - {file = "duckdb-0.9.2-cp310-cp310-win_amd64.whl", hash = "sha256:492a69cd60b6cb4f671b51893884cdc5efc4c3b2eb76057a007d2a2295427173"}, - {file = "duckdb-0.9.2-cp311-cp311-macosx_10_9_universal2.whl", hash = "sha256:061a9ea809811d6e3025c5de31bc40e0302cfb08c08feefa574a6491e882e7e8"}, - {file = "duckdb-0.9.2-cp311-cp311-macosx_10_9_x86_64.whl", hash = "sha256:a43f93be768af39f604b7b9b48891f9177c9282a408051209101ff80f7450d8f"}, - {file = "duckdb-0.9.2-cp311-cp311-macosx_11_0_arm64.whl", hash = "sha256:ac29c8c8f56fff5a681f7bf61711ccb9325c5329e64f23cb7ff31781d7b50773"}, - {file = "duckdb-0.9.2-cp311-cp311-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:b14d98d26bab139114f62ade81350a5342f60a168d94b27ed2c706838f949eda"}, - {file = "duckdb-0.9.2-cp311-cp311-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:796a995299878913e765b28cc2b14c8e44fae2f54ab41a9ee668c18449f5f833"}, - {file = "duckdb-0.9.2-cp311-cp311-musllinux_1_1_x86_64.whl", hash = "sha256:6cb64ccfb72c11ec9c41b3cb6181b6fd33deccceda530e94e1c362af5f810ba1"}, - {file = "duckdb-0.9.2-cp311-cp311-win32.whl", hash = "sha256:930740cb7b2cd9e79946e1d3a8f66e15dc5849d4eaeff75c8788d0983b9256a5"}, - {file = "duckdb-0.9.2-cp311-cp311-win_amd64.whl", hash = "sha256:c28f13c45006fd525001b2011cdf91fa216530e9751779651e66edc0e446be50"}, - {file = "duckdb-0.9.2-cp37-cp37m-macosx_10_9_x86_64.whl", hash = "sha256:fbce7bbcb4ba7d99fcec84cec08db40bc0dd9342c6c11930ce708817741faeeb"}, - {file = "duckdb-0.9.2-cp37-cp37m-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:15a82109a9e69b1891f0999749f9e3265f550032470f51432f944a37cfdc908b"}, - {file = "duckdb-0.9.2-cp37-cp37m-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:9490fb9a35eb74af40db5569d90df8a04a6f09ed9a8c9caa024998c40e2506aa"}, - {file = "duckdb-0.9.2-cp37-cp37m-musllinux_1_1_x86_64.whl", hash = "sha256:696d5c6dee86c1a491ea15b74aafe34ad2b62dcd46ad7e03b1d00111ca1a8c68"}, - {file = "duckdb-0.9.2-cp37-cp37m-win32.whl", hash = "sha256:4f0935300bdf8b7631ddfc838f36a858c1323696d8c8a2cecbd416bddf6b0631"}, - {file = "duckdb-0.9.2-cp37-cp37m-win_amd64.whl", hash = "sha256:0aab900f7510e4d2613263865570203ddfa2631858c7eb8cbed091af6ceb597f"}, - {file = "duckdb-0.9.2-cp38-cp38-macosx_10_9_universal2.whl", hash = "sha256:7d8130ed6a0c9421b135d0743705ea95b9a745852977717504e45722c112bf7a"}, - {file = "duckdb-0.9.2-cp38-cp38-macosx_10_9_x86_64.whl", hash = "sha256:974e5de0294f88a1a837378f1f83330395801e9246f4e88ed3bfc8ada65dcbee"}, - {file = "duckdb-0.9.2-cp38-cp38-macosx_11_0_arm64.whl", hash = "sha256:4fbc297b602ef17e579bb3190c94d19c5002422b55814421a0fc11299c0c1100"}, - {file = "duckdb-0.9.2-cp38-cp38-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:1dd58a0d84a424924a35b3772419f8cd78a01c626be3147e4934d7a035a8ad68"}, - {file = "duckdb-0.9.2-cp38-cp38-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:11a1194a582c80dfb57565daa06141727e415ff5d17e022dc5f31888a5423d33"}, - {file = "duckdb-0.9.2-cp38-cp38-musllinux_1_1_x86_64.whl", hash = "sha256:be45d08541002a9338e568dca67ab4f20c0277f8f58a73dfc1435c5b4297c996"}, - {file = "duckdb-0.9.2-cp38-cp38-win32.whl", hash = "sha256:dd6f88aeb7fc0bfecaca633629ff5c986ac966fe3b7dcec0b2c48632fd550ba2"}, - {file = "duckdb-0.9.2-cp38-cp38-win_amd64.whl", hash = "sha256:28100c4a6a04e69aa0f4a6670a6d3d67a65f0337246a0c1a429f3f28f3c40b9a"}, - {file = "duckdb-0.9.2-cp39-cp39-macosx_10_9_universal2.whl", hash = "sha256:7ae5bf0b6ad4278e46e933e51473b86b4b932dbc54ff097610e5b482dd125552"}, - {file = "duckdb-0.9.2-cp39-cp39-macosx_10_9_x86_64.whl", hash = "sha256:e5d0bb845a80aa48ed1fd1d2d285dd352e96dc97f8efced2a7429437ccd1fe1f"}, - {file = "duckdb-0.9.2-cp39-cp39-macosx_11_0_arm64.whl", hash = "sha256:4ce262d74a52500d10888110dfd6715989926ec936918c232dcbaddb78fc55b4"}, - {file = "duckdb-0.9.2-cp39-cp39-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:6935240da090a7f7d2666f6d0a5e45ff85715244171ca4e6576060a7f4a1200e"}, - {file = "duckdb-0.9.2-cp39-cp39-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:a5cfb93e73911696a98b9479299d19cfbc21dd05bb7ab11a923a903f86b4d06e"}, - {file = "duckdb-0.9.2-cp39-cp39-musllinux_1_1_x86_64.whl", hash = "sha256:64e3bc01751f31e7572d2716c3e8da8fe785f1cdc5be329100818d223002213f"}, - {file = "duckdb-0.9.2-cp39-cp39-win32.whl", hash = "sha256:6e5b80f46487636368e31b61461940e3999986359a78660a50dfdd17dd72017c"}, - {file = "duckdb-0.9.2-cp39-cp39-win_amd64.whl", hash = "sha256:e6142a220180dbeea4f341708bd5f9501c5c962ce7ef47c1cadf5e8810b4cb13"}, - {file = "duckdb-0.9.2.tar.gz", hash = "sha256:3843afeab7c3fc4a4c0b53686a4cc1d9cdbdadcbb468d60fef910355ecafd447"}, + {file = "duckdb-0.10.3-cp310-cp310-macosx_10_9_universal2.whl", hash = "sha256:cd25cc8d001c09a19340739ba59d33e12a81ab285b7a6bed37169655e1cefb31"}, + {file = "duckdb-0.10.3-cp310-cp310-macosx_10_9_x86_64.whl", hash = "sha256:2f9259c637b917ca0f4c63887e8d9b35ec248f5d987c886dfc4229d66a791009"}, + {file = "duckdb-0.10.3-cp310-cp310-macosx_11_0_arm64.whl", hash = "sha256:b48f5f1542f1e4b184e6b4fc188f497be8b9c48127867e7d9a5f4a3e334f88b0"}, + {file = "duckdb-0.10.3-cp310-cp310-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:e327f7a3951ea154bb56e3fef7da889e790bd9a67ca3c36afc1beb17d3feb6d6"}, + {file = "duckdb-0.10.3-cp310-cp310-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:5d8b20ed67da004b4481973f4254fd79a0e5af957d2382eac8624b5c527ec48c"}, + {file = "duckdb-0.10.3-cp310-cp310-manylinux_2_24_aarch64.manylinux_2_28_aarch64.whl", hash = "sha256:d37680b8d7be04e4709db3a66c8b3eb7ceba2a5276574903528632f2b2cc2e60"}, + {file = "duckdb-0.10.3-cp310-cp310-musllinux_1_2_x86_64.whl", hash = "sha256:3d34b86d6a2a6dfe8bb757f90bfe7101a3bd9e3022bf19dbddfa4b32680d26a9"}, + {file = "duckdb-0.10.3-cp310-cp310-win_amd64.whl", hash = "sha256:73b1cb283ca0f6576dc18183fd315b4e487a545667ffebbf50b08eb4e8cdc143"}, + {file = "duckdb-0.10.3-cp311-cp311-macosx_10_9_universal2.whl", hash = "sha256:d917dde19fcec8cadcbef1f23946e85dee626ddc133e1e3f6551f15a61a03c61"}, + {file = "duckdb-0.10.3-cp311-cp311-macosx_10_9_x86_64.whl", hash = "sha256:46757e0cf5f44b4cb820c48a34f339a9ccf83b43d525d44947273a585a4ed822"}, + {file = "duckdb-0.10.3-cp311-cp311-macosx_11_0_arm64.whl", hash = "sha256:338c14d8ac53ac4aa9ec03b6f1325ecfe609ceeb72565124d489cb07f8a1e4eb"}, + {file = "duckdb-0.10.3-cp311-cp311-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:651fcb429602b79a3cf76b662a39e93e9c3e6650f7018258f4af344c816dab72"}, + {file = "duckdb-0.10.3-cp311-cp311-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:d3ae3c73b98b6215dab93cc9bc936b94aed55b53c34ba01dec863c5cab9f8e25"}, + {file = "duckdb-0.10.3-cp311-cp311-manylinux_2_24_aarch64.manylinux_2_28_aarch64.whl", hash = "sha256:56429b2cfe70e367fb818c2be19f59ce2f6b080c8382c4d10b4f90ba81f774e9"}, + {file = "duckdb-0.10.3-cp311-cp311-musllinux_1_2_x86_64.whl", hash = "sha256:b46c02c2e39e3676b1bb0dc7720b8aa953734de4fd1b762e6d7375fbeb1b63af"}, + {file = "duckdb-0.10.3-cp311-cp311-win_amd64.whl", hash = "sha256:bcd460feef56575af2c2443d7394d405a164c409e9794a4d94cb5fdaa24a0ba4"}, + {file = "duckdb-0.10.3-cp312-cp312-macosx_10_9_universal2.whl", hash = "sha256:e229a7c6361afbb0d0ab29b1b398c10921263c52957aefe3ace99b0426fdb91e"}, + {file = "duckdb-0.10.3-cp312-cp312-macosx_10_9_x86_64.whl", hash = "sha256:732b1d3b6b17bf2f32ea696b9afc9e033493c5a3b783c292ca4b0ee7cc7b0e66"}, + {file = "duckdb-0.10.3-cp312-cp312-macosx_11_0_arm64.whl", hash = "sha256:f5380d4db11fec5021389fb85d614680dc12757ef7c5881262742250e0b58c75"}, + {file = "duckdb-0.10.3-cp312-cp312-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:468a4e0c0b13c55f84972b1110060d1b0f854ffeb5900a178a775259ec1562db"}, + {file = "duckdb-0.10.3-cp312-cp312-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:0fa1e7ff8d18d71defa84e79f5c86aa25d3be80d7cb7bc259a322de6d7cc72da"}, + {file = "duckdb-0.10.3-cp312-cp312-manylinux_2_24_aarch64.manylinux_2_28_aarch64.whl", hash = "sha256:ed1063ed97c02e9cf2e7fd1d280de2d1e243d72268330f45344c69c7ce438a01"}, + {file = "duckdb-0.10.3-cp312-cp312-musllinux_1_2_x86_64.whl", hash = "sha256:22f2aad5bb49c007f3bfcd3e81fdedbc16a2ae41f2915fc278724ca494128b0c"}, + {file = "duckdb-0.10.3-cp312-cp312-win_amd64.whl", hash = "sha256:8f9e2bb00a048eb70b73a494bdc868ce7549b342f7ffec88192a78e5a4e164bd"}, + {file = "duckdb-0.10.3-cp37-cp37m-macosx_10_9_x86_64.whl", hash = "sha256:a6c2fc49875b4b54e882d68703083ca6f84b27536d57d623fc872e2f502b1078"}, + {file = "duckdb-0.10.3-cp37-cp37m-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:a66c125d0c30af210f7ee599e7821c3d1a7e09208196dafbf997d4e0cfcb81ab"}, + {file = "duckdb-0.10.3-cp37-cp37m-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:d99dd7a1d901149c7a276440d6e737b2777e17d2046f5efb0c06ad3b8cb066a6"}, + {file = "duckdb-0.10.3-cp37-cp37m-manylinux_2_24_aarch64.manylinux_2_28_aarch64.whl", hash = "sha256:5ec3bbdb209e6095d202202893763e26c17c88293b88ef986b619e6c8b6715bd"}, + {file = "duckdb-0.10.3-cp37-cp37m-musllinux_1_2_x86_64.whl", hash = "sha256:2b3dec4ef8ed355d7b7230b40950b30d0def2c387a2e8cd7efc80b9d14134ecf"}, + {file = "duckdb-0.10.3-cp37-cp37m-win_amd64.whl", hash = "sha256:04129f94fb49bba5eea22f941f0fb30337f069a04993048b59e2811f52d564bc"}, + {file = "duckdb-0.10.3-cp38-cp38-macosx_10_9_universal2.whl", hash = "sha256:d75d67024fc22c8edfd47747c8550fb3c34fb1cbcbfd567e94939ffd9c9e3ca7"}, + {file = "duckdb-0.10.3-cp38-cp38-macosx_10_9_x86_64.whl", hash = "sha256:f3796e9507c02d0ddbba2e84c994fae131da567ce3d9cbb4cbcd32fadc5fbb26"}, + {file = "duckdb-0.10.3-cp38-cp38-macosx_11_0_arm64.whl", hash = "sha256:78e539d85ebd84e3e87ec44d28ad912ca4ca444fe705794e0de9be3dd5550c11"}, + {file = "duckdb-0.10.3-cp38-cp38-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:7a99b67ac674b4de32073e9bc604b9c2273d399325181ff50b436c6da17bf00a"}, + {file = "duckdb-0.10.3-cp38-cp38-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:1209a354a763758c4017a1f6a9f9b154a83bed4458287af9f71d84664ddb86b6"}, + {file = "duckdb-0.10.3-cp38-cp38-manylinux_2_24_aarch64.manylinux_2_28_aarch64.whl", hash = "sha256:3b735cea64aab39b67c136ab3a571dbf834067f8472ba2f8bf0341bc91bea820"}, + {file = "duckdb-0.10.3-cp38-cp38-musllinux_1_2_x86_64.whl", hash = "sha256:816ffb9f758ed98eb02199d9321d592d7a32a6cb6aa31930f4337eb22cfc64e2"}, + {file = "duckdb-0.10.3-cp38-cp38-win_amd64.whl", hash = "sha256:1631184b94c3dc38b13bce4045bf3ae7e1b0ecbfbb8771eb8d751d8ffe1b59b3"}, + {file = "duckdb-0.10.3-cp39-cp39-macosx_10_9_universal2.whl", hash = "sha256:fb98c35fc8dd65043bc08a2414dd9f59c680d7e8656295b8969f3f2061f26c52"}, + {file = "duckdb-0.10.3-cp39-cp39-macosx_10_9_x86_64.whl", hash = "sha256:7e75c9f5b6a92b2a6816605c001d30790f6d67ce627a2b848d4d6040686efdf9"}, + {file = "duckdb-0.10.3-cp39-cp39-macosx_11_0_arm64.whl", hash = "sha256:ae786eddf1c2fd003466e13393b9348a44b6061af6fe7bcb380a64cac24e7df7"}, + {file = "duckdb-0.10.3-cp39-cp39-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:b9387da7b7973707b0dea2588749660dd5dd724273222680e985a2dd36787668"}, + {file = "duckdb-0.10.3-cp39-cp39-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:538f943bf9fa8a3a7c4fafa05f21a69539d2c8a68e557233cbe9d989ae232899"}, + {file = "duckdb-0.10.3-cp39-cp39-manylinux_2_24_aarch64.manylinux_2_28_aarch64.whl", hash = "sha256:6930608f35025a73eb94252964f9f19dd68cf2aaa471da3982cf6694866cfa63"}, + {file = "duckdb-0.10.3-cp39-cp39-musllinux_1_2_x86_64.whl", hash = "sha256:03bc54a9cde5490918aad82d7d2a34290e3dfb78d5b889c6626625c0f141272a"}, + {file = "duckdb-0.10.3-cp39-cp39-win_amd64.whl", hash = "sha256:372b6e3901d85108cafe5df03c872dfb6f0dbff66165a0cf46c47246c1957aa0"}, + {file = "duckdb-0.10.3.tar.gz", hash = "sha256:c5bd84a92bc708d3a6adffe1f554b94c6e76c795826daaaf482afc3d9c636971"}, ] [[package]] @@ -624,27 +632,30 @@ gmpy2 = ["gmpy2"] [[package]] name = "emoji" -version = "2.11.0" +version = "2.12.1" description = "Emoji for Python" optional = false -python-versions = "!=3.0.*,!=3.1.*,!=3.2.*,!=3.3.*,>=2.7" +python-versions = ">=3.7" files = [ - {file = "emoji-2.11.0-py2.py3-none-any.whl", hash = "sha256:63fc9107f06c6c2e48e5078ce9575cef98518f5ac09474f6148a43e989989582"}, - {file = "emoji-2.11.0.tar.gz", hash = "sha256:772eaa30f4e0b1ce95148a092df4c7dc97644532c03225326b0fd05e8a9f72a3"}, + {file = "emoji-2.12.1-py3-none-any.whl", hash = "sha256:a00d62173bdadc2510967a381810101624a2f0986145b8da0cffa42e29430235"}, + {file = "emoji-2.12.1.tar.gz", hash = "sha256:4aa0488817691aa58d83764b6c209f8a27c0b3ab3f89d1b8dceca1a62e4973eb"}, ] +[package.dependencies] +typing-extensions = ">=4.7.0" + [package.extras] -dev = ["coverage", "coveralls", "pytest"] +dev = ["coverage", "pytest (>=7.4.4)"] [[package]] name = "exceptiongroup" -version = "1.2.0" +version = "1.2.1" description = "Backport of PEP 654 (exception groups)" optional = false python-versions = ">=3.7" files = [ - {file = "exceptiongroup-1.2.0-py3-none-any.whl", hash = "sha256:4bfd3996ac73b41e9b9628b04e079f193850720ea5945fc96a08633c66912f14"}, - {file = "exceptiongroup-1.2.0.tar.gz", hash = "sha256:91f5c769735f051a4290d52edd0858999b57e5876e9f85937691bd4c9fa3ed68"}, + {file = "exceptiongroup-1.2.1-py3-none-any.whl", hash = "sha256:5258b9ed329c5bbdd31a309f53cbfb0b155341807f6ff7606a1e801a891b29ad"}, + {file = "exceptiongroup-1.2.1.tar.gz", hash = "sha256:a4785e48b045528f5bfe627b6ad554ff32def154f42372786903b7abcfe1aa16"}, ] [package.extras] @@ -652,13 +663,13 @@ test = ["pytest (>=6)"] [[package]] name = "fastapi" -version = "0.110.1" +version = "0.110.3" description = "FastAPI framework, high performance, easy to learn, fast to code, ready for production" optional = false python-versions = ">=3.8" files = [ - {file = "fastapi-0.110.1-py3-none-any.whl", hash = "sha256:5df913203c482f820d31f48e635e022f8cbfe7350e4830ef05a3163925b1addc"}, - {file = "fastapi-0.110.1.tar.gz", hash = "sha256:6feac43ec359dfe4f45b2c18ec8c94edb8dc2dfc461d417d9e626590c071baad"}, + {file = "fastapi-0.110.3-py3-none-any.whl", hash = "sha256:fd7600612f755e4050beb74001310b5a7e1796d149c2ee363124abdfa0289d32"}, + {file = "fastapi-0.110.3.tar.gz", hash = "sha256:555700b0159379e94fdbfc6bb66a0f1c43f4cf7060f25239af3d84b63a656626"}, ] [package.dependencies] @@ -667,7 +678,7 @@ starlette = ">=0.37.2,<0.38.0" typing-extensions = ">=4.8.0" [package.extras] -all = ["email-validator (>=2.0.0)", "httpx (>=0.23.0)", "itsdangerous (>=1.1.0)", "jinja2 (>=2.11.2)", "orjson (>=3.2.1)", "pydantic-extra-types (>=2.0.0)", "pydantic-settings (>=2.0.0)", "python-multipart (>=0.0.7)", "pyyaml (>=5.3.1)", "ujson (>=4.0.1,!=4.0.2,!=4.1.0,!=4.2.0,!=4.3.0,!=5.0.0,!=5.1.0)", "uvicorn[standard] (>=0.12.0)"] +all = ["email_validator (>=2.0.0)", "httpx (>=0.23.0)", "itsdangerous (>=1.1.0)", "jinja2 (>=2.11.2)", "orjson (>=3.2.1)", "pydantic-extra-types (>=2.0.0)", "pydantic-settings (>=2.0.0)", "python-multipart (>=0.0.7)", "pyyaml (>=5.3.1)", "ujson (>=4.0.1,!=4.0.2,!=4.1.0,!=4.2.0,!=4.3.0,!=5.0.0,!=5.1.0)", "uvicorn[standard] (>=0.12.0)"] [[package]] name = "frozenlist" @@ -1023,22 +1034,21 @@ files = [ [[package]] name = "langchain" -version = "0.1.16" +version = "0.1.20" description = "Building applications with LLMs through composability" optional = false python-versions = "<4.0,>=3.8.1" files = [ - {file = "langchain-0.1.16-py3-none-any.whl", hash = "sha256:bc074cc5e51fad79b9ead1572fc3161918d0f614a6c8f0460543d505ad249ac7"}, - {file = "langchain-0.1.16.tar.gz", hash = "sha256:b6bce78f8c071baa898884accfff15c3d81da2f0dd86c20e2f4c80b41463f49f"}, + {file = "langchain-0.1.20-py3-none-any.whl", hash = "sha256:09991999fbd6c3421a12db3c7d1f52d55601fc41d9b2a3ef51aab2e0e9c38da9"}, + {file = "langchain-0.1.20.tar.gz", hash = "sha256:f35c95eed8c8375e02dce95a34f2fd4856a4c98269d6dc34547a23dba5beab7e"}, ] [package.dependencies] aiohttp = ">=3.8.3,<4.0.0" async-timeout = {version = ">=4.0.0,<5.0.0", markers = "python_version < \"3.11\""} dataclasses-json = ">=0.5.7,<0.7" -jsonpatch = ">=1.33,<2.0" -langchain-community = ">=0.0.32,<0.1" -langchain-core = ">=0.1.42,<0.2.0" +langchain-community = ">=0.0.38,<0.1" +langchain-core = ">=0.1.52,<0.2.0" langchain-text-splitters = ">=0.0.1,<0.1" langsmith = ">=0.1.17,<0.2.0" numpy = ">=1,<2" @@ -1064,19 +1074,19 @@ text-helpers = ["chardet (>=5.1.0,<6.0.0)"] [[package]] name = "langchain-community" -version = "0.0.33" +version = "0.0.38" description = "Community contributed LangChain integrations." optional = false python-versions = "<4.0,>=3.8.1" files = [ - {file = "langchain_community-0.0.33-py3-none-any.whl", hash = "sha256:830f0d5f4ff9638b99ca01820c26abfa4b65fa705ef89b5ce55ac9aa3a7d83af"}, - {file = "langchain_community-0.0.33.tar.gz", hash = "sha256:bb56dbc1ef11ca09f258468e11368781adda9219e144073e30cda69496d342b2"}, + {file = "langchain_community-0.0.38-py3-none-any.whl", hash = "sha256:ecb48660a70a08c90229be46b0cc5f6bc9f38f2833ee44c57dfab9bf3a2c121a"}, + {file = "langchain_community-0.0.38.tar.gz", hash = "sha256:127fc4b75bc67b62fe827c66c02e715a730fef8fe69bd2023d466bab06b5810d"}, ] [package.dependencies] aiohttp = ">=3.8.3,<4.0.0" dataclasses-json = ">=0.5.7,<0.7" -langchain-core = ">=0.1.43,<0.2.0" +langchain-core = ">=0.1.52,<0.2.0" langsmith = ">=0.1.0,<0.2.0" numpy = ">=1,<2" PyYAML = ">=5.3" @@ -1086,17 +1096,17 @@ tenacity = ">=8.1.0,<9.0.0" [package.extras] cli = ["typer (>=0.9.0,<0.10.0)"] -extended-testing = ["aiosqlite (>=0.19.0,<0.20.0)", "aleph-alpha-client (>=2.15.0,<3.0.0)", "anthropic (>=0.3.11,<0.4.0)", "arxiv (>=1.4,<2.0)", "assemblyai (>=0.17.0,<0.18.0)", "atlassian-python-api (>=3.36.0,<4.0.0)", "azure-ai-documentintelligence (>=1.0.0b1,<2.0.0)", "beautifulsoup4 (>=4,<5)", "bibtexparser (>=1.4.0,<2.0.0)", "cassio (>=0.1.0,<0.2.0)", "chardet (>=5.1.0,<6.0.0)", "cloudpickle (>=2.0.0)", "cohere (>=4,<5)", "databricks-vectorsearch (>=0.21,<0.22)", "datasets (>=2.15.0,<3.0.0)", "dgml-utils (>=0.3.0,<0.4.0)", "elasticsearch (>=8.12.0,<9.0.0)", "esprima (>=4.0.1,<5.0.0)", "faiss-cpu (>=1,<2)", "feedparser (>=6.0.10,<7.0.0)", "fireworks-ai (>=0.9.0,<0.10.0)", "friendli-client (>=1.2.4,<2.0.0)", "geopandas (>=0.13.1,<0.14.0)", "gitpython (>=3.1.32,<4.0.0)", "google-cloud-documentai (>=2.20.1,<3.0.0)", "gql (>=3.4.1,<4.0.0)", "gradientai (>=1.4.0,<2.0.0)", "hdbcli (>=2.19.21,<3.0.0)", "hologres-vector (>=0.0.6,<0.0.7)", "html2text (>=2020.1.16,<2021.0.0)", "httpx (>=0.24.1,<0.25.0)", "httpx-sse (>=0.4.0,<0.5.0)", "javelin-sdk (>=0.1.8,<0.2.0)", "jinja2 (>=3,<4)", "jq (>=1.4.1,<2.0.0)", "jsonschema (>1)", "lxml (>=4.9.3,<6.0)", "markdownify (>=0.11.6,<0.12.0)", "motor (>=3.3.1,<4.0.0)", "msal (>=1.25.0,<2.0.0)", "mwparserfromhell (>=0.6.4,<0.7.0)", "mwxml (>=0.3.3,<0.4.0)", "newspaper3k (>=0.2.8,<0.3.0)", "numexpr (>=2.8.6,<3.0.0)", "nvidia-riva-client (>=2.14.0,<3.0.0)", "oci (>=2.119.1,<3.0.0)", "openai (<2)", "openapi-pydantic (>=0.3.2,<0.4.0)", "oracle-ads (>=2.9.1,<3.0.0)", "pandas (>=2.0.1,<3.0.0)", "pdfminer-six (>=20221105,<20221106)", "pgvector (>=0.1.6,<0.2.0)", "praw (>=7.7.1,<8.0.0)", "premai (>=0.3.25,<0.4.0)", "psychicapi (>=0.8.0,<0.9.0)", "py-trello (>=0.19.0,<0.20.0)", "pyjwt (>=2.8.0,<3.0.0)", "pymupdf (>=1.22.3,<2.0.0)", "pypdf (>=3.4.0,<4.0.0)", "pypdfium2 (>=4.10.0,<5.0.0)", "pyspark (>=3.4.0,<4.0.0)", "rank-bm25 (>=0.2.2,<0.3.0)", "rapidfuzz (>=3.1.1,<4.0.0)", "rapidocr-onnxruntime (>=1.3.2,<2.0.0)", "rdflib (==7.0.0)", "requests-toolbelt (>=1.0.0,<2.0.0)", "rspace_client (>=2.5.0,<3.0.0)", "scikit-learn (>=1.2.2,<2.0.0)", "sqlite-vss (>=0.1.2,<0.2.0)", "streamlit (>=1.18.0,<2.0.0)", "sympy (>=1.12,<2.0)", "telethon (>=1.28.5,<2.0.0)", "tidb-vector (>=0.0.3,<1.0.0)", "timescale-vector (>=0.0.1,<0.0.2)", "tqdm (>=4.48.0)", "tree-sitter (>=0.20.2,<0.21.0)", "tree-sitter-languages (>=1.8.0,<2.0.0)", "upstash-redis (>=0.15.0,<0.16.0)", "vdms (>=0.0.20,<0.0.21)", "xata (>=1.0.0a7,<2.0.0)", "xmltodict (>=0.13.0,<0.14.0)"] +extended-testing = ["aiosqlite (>=0.19.0,<0.20.0)", "aleph-alpha-client (>=2.15.0,<3.0.0)", "anthropic (>=0.3.11,<0.4.0)", "arxiv (>=1.4,<2.0)", "assemblyai (>=0.17.0,<0.18.0)", "atlassian-python-api (>=3.36.0,<4.0.0)", "azure-ai-documentintelligence (>=1.0.0b1,<2.0.0)", "azure-identity (>=1.15.0,<2.0.0)", "azure-search-documents (==11.4.0)", "beautifulsoup4 (>=4,<5)", "bibtexparser (>=1.4.0,<2.0.0)", "cassio (>=0.1.6,<0.2.0)", "chardet (>=5.1.0,<6.0.0)", "cloudpickle (>=2.0.0)", "cohere (>=4,<5)", "databricks-vectorsearch (>=0.21,<0.22)", "datasets (>=2.15.0,<3.0.0)", "dgml-utils (>=0.3.0,<0.4.0)", "elasticsearch (>=8.12.0,<9.0.0)", "esprima (>=4.0.1,<5.0.0)", "faiss-cpu (>=1,<2)", "feedparser (>=6.0.10,<7.0.0)", "fireworks-ai (>=0.9.0,<0.10.0)", "friendli-client (>=1.2.4,<2.0.0)", "geopandas (>=0.13.1,<0.14.0)", "gitpython (>=3.1.32,<4.0.0)", "google-cloud-documentai (>=2.20.1,<3.0.0)", "gql (>=3.4.1,<4.0.0)", "gradientai (>=1.4.0,<2.0.0)", "hdbcli (>=2.19.21,<3.0.0)", "hologres-vector (>=0.0.6,<0.0.7)", "html2text (>=2020.1.16,<2021.0.0)", "httpx (>=0.24.1,<0.25.0)", "httpx-sse (>=0.4.0,<0.5.0)", "javelin-sdk (>=0.1.8,<0.2.0)", "jinja2 (>=3,<4)", "jq (>=1.4.1,<2.0.0)", "jsonschema (>1)", "lxml (>=4.9.3,<6.0)", "markdownify (>=0.11.6,<0.12.0)", "motor (>=3.3.1,<4.0.0)", "msal (>=1.25.0,<2.0.0)", "mwparserfromhell (>=0.6.4,<0.7.0)", "mwxml (>=0.3.3,<0.4.0)", "newspaper3k (>=0.2.8,<0.3.0)", "numexpr (>=2.8.6,<3.0.0)", "nvidia-riva-client (>=2.14.0,<3.0.0)", "oci (>=2.119.1,<3.0.0)", "openai (<2)", "openapi-pydantic (>=0.3.2,<0.4.0)", "oracle-ads (>=2.9.1,<3.0.0)", "oracledb (>=2.2.0,<3.0.0)", "pandas (>=2.0.1,<3.0.0)", "pdfminer-six (>=20221105,<20221106)", "pgvector (>=0.1.6,<0.2.0)", "praw (>=7.7.1,<8.0.0)", "premai (>=0.3.25,<0.4.0)", "psychicapi (>=0.8.0,<0.9.0)", "py-trello (>=0.19.0,<0.20.0)", "pyjwt (>=2.8.0,<3.0.0)", "pymupdf (>=1.22.3,<2.0.0)", "pypdf (>=3.4.0,<4.0.0)", "pypdfium2 (>=4.10.0,<5.0.0)", "pyspark (>=3.4.0,<4.0.0)", "rank-bm25 (>=0.2.2,<0.3.0)", "rapidfuzz (>=3.1.1,<4.0.0)", "rapidocr-onnxruntime (>=1.3.2,<2.0.0)", "rdflib (==7.0.0)", "requests-toolbelt (>=1.0.0,<2.0.0)", "rspace_client (>=2.5.0,<3.0.0)", "scikit-learn (>=1.2.2,<2.0.0)", "sqlite-vss (>=0.1.2,<0.2.0)", "streamlit (>=1.18.0,<2.0.0)", "sympy (>=1.12,<2.0)", "telethon (>=1.28.5,<2.0.0)", "tidb-vector (>=0.0.3,<1.0.0)", "timescale-vector (>=0.0.1,<0.0.2)", "tqdm (>=4.48.0)", "tree-sitter (>=0.20.2,<0.21.0)", "tree-sitter-languages (>=1.8.0,<2.0.0)", "upstash-redis (>=0.15.0,<0.16.0)", "vdms (>=0.0.20,<0.0.21)", "xata (>=1.0.0a7,<2.0.0)", "xmltodict (>=0.13.0,<0.14.0)"] [[package]] name = "langchain-core" -version = "0.1.44" +version = "0.1.52" description = "Building applications with LLMs through composability" optional = false python-versions = "<4.0,>=3.8.1" files = [ - {file = "langchain_core-0.1.44-py3-none-any.whl", hash = "sha256:d8772dccef95fc97bfa2dcd19412e620ebe14def1f0e218374971f6e30a46a49"}, - {file = "langchain_core-0.1.44.tar.gz", hash = "sha256:e313975d9ae2926342e6f2ad760338d31f18b1223e9b8b4dc408daeeade46a83"}, + {file = "langchain_core-0.1.52-py3-none-any.whl", hash = "sha256:62566749c92e8a1181c255c788548dc16dbc319d896cd6b9c95dc17af9b2a6db"}, + {file = "langchain_core-0.1.52.tar.gz", hash = "sha256:084c3fc452f5a6966c28ab3ec5dbc8b8d26fc3f63378073928f4e29d90b6393f"}, ] [package.dependencies] @@ -1112,38 +1122,38 @@ extended-testing = ["jinja2 (>=3,<4)"] [[package]] name = "langchain-experimental" -version = "0.0.57" +version = "0.0.58" description = "Building applications with LLMs through composability" optional = false python-versions = "<4.0,>=3.8.1" files = [ - {file = "langchain_experimental-0.0.57-py3-none-any.whl", hash = "sha256:96479a2d45a35722cf2fe49655639e91d3fff5ccaba498cda32b088d5b184325"}, - {file = "langchain_experimental-0.0.57.tar.gz", hash = "sha256:d1fb452aa1f04f32f0e08b83b083f35552f4ece1077c5bdcf86327f56f1758b5"}, + {file = "langchain_experimental-0.0.58-py3-none-any.whl", hash = "sha256:106d3bc7df3dd20687378db7534c2fc21e2589201d43de42f832a1e3913dd55b"}, + {file = "langchain_experimental-0.0.58.tar.gz", hash = "sha256:8ef10ff6b39f44ef468f8f21beb3749957d2262ec64d05db2719934936ca0285"}, ] [package.dependencies] -langchain = ">=0.1.15,<0.2.0" -langchain-core = ">=0.1.41,<0.2.0" +langchain = ">=0.1.17,<0.2.0" +langchain-core = ">=0.1.52,<0.2.0" [package.extras] extended-testing = ["faker (>=19.3.1,<20.0.0)", "jinja2 (>=3,<4)", "pandas (>=2.0.1,<3.0.0)", "presidio-analyzer (>=2.2.352,<3.0.0)", "presidio-anonymizer (>=2.2.352,<3.0.0)", "sentence-transformers (>=2,<3)", "tabulate (>=0.9.0,<0.10.0)", "vowpal-wabbit-next (==0.6.0)"] [[package]] name = "langchain-text-splitters" -version = "0.0.1" +version = "0.0.2" description = "LangChain text splitting utilities" optional = false -python-versions = ">=3.8.1,<4.0" +python-versions = "<4.0,>=3.8.1" files = [ - {file = "langchain_text_splitters-0.0.1-py3-none-any.whl", hash = "sha256:f5b802f873f5ff6a8b9259ff34d53ed989666ef4e1582e6d1adb3b5520e3839a"}, - {file = "langchain_text_splitters-0.0.1.tar.gz", hash = "sha256:ac459fa98799f5117ad5425a9330b21961321e30bc19a2a2f9f761ddadd62aa1"}, + {file = "langchain_text_splitters-0.0.2-py3-none-any.whl", hash = "sha256:13887f32705862c1e1454213cb7834a63aae57c26fcd80346703a1d09c46168d"}, + {file = "langchain_text_splitters-0.0.2.tar.gz", hash = "sha256:ac8927dc0ba08eba702f6961c9ed7df7cead8de19a9f7101ab2b5ea34201b3c1"}, ] [package.dependencies] -langchain-core = ">=0.1.28,<0.2.0" +langchain-core = ">=0.1.28,<0.3" [package.extras] -extended-testing = ["lxml (>=5.1.0,<6.0.0)"] +extended-testing = ["beautifulsoup4 (>=4.12.3,<5.0.0)", "lxml (>=4.9.3,<6.0)"] [[package]] name = "langchainhub" @@ -1162,13 +1172,13 @@ types-requests = ">=2.31.0.2,<3.0.0.0" [[package]] name = "langsmith" -version = "0.1.48" +version = "0.1.62" description = "Client library to connect to the LangSmith LLM Tracing and Evaluation Platform." optional = false python-versions = "<4.0,>=3.8.1" files = [ - {file = "langsmith-0.1.48-py3-none-any.whl", hash = "sha256:2f8967e2aaaed8881efe6f346590681243b315af8ba8a037d969c299d42071d3"}, - {file = "langsmith-0.1.48.tar.gz", hash = "sha256:9cd21cd0928123b2bd2363f03515cb1f6a833d9a9f00420240d5132861d15fcc"}, + {file = "langsmith-0.1.62-py3-none-any.whl", hash = "sha256:3a9f112643f64d736b8c875390c750fe6485804ea53aeae4edebce0afa4383a5"}, + {file = "langsmith-0.1.62.tar.gz", hash = "sha256:7ef894c14e6d4175fce88ec3bcd5a9c8cf9a456ea77e26e361f519ad082f34a8"}, ] [package.dependencies] @@ -1196,165 +1206,153 @@ dev = ["Sphinx (==7.2.5)", "colorama (==0.4.5)", "colorama (==0.4.6)", "exceptio [[package]] name = "lxml" -version = "5.2.1" +version = "5.2.2" description = "Powerful and Pythonic XML processing library combining libxml2/libxslt with the ElementTree API." optional = false python-versions = ">=3.6" files = [ - {file = "lxml-5.2.1-cp310-cp310-macosx_10_9_universal2.whl", hash = "sha256:1f7785f4f789fdb522729ae465adcaa099e2a3441519df750ebdccc481d961a1"}, - {file = "lxml-5.2.1-cp310-cp310-macosx_10_9_x86_64.whl", hash = "sha256:6cc6ee342fb7fa2471bd9b6d6fdfc78925a697bf5c2bcd0a302e98b0d35bfad3"}, - {file = "lxml-5.2.1-cp310-cp310-manylinux_2_12_i686.manylinux2010_i686.manylinux_2_17_i686.manylinux2014_i686.whl", hash = "sha256:794f04eec78f1d0e35d9e0c36cbbb22e42d370dda1609fb03bcd7aeb458c6377"}, - {file = "lxml-5.2.1-cp310-cp310-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:c817d420c60a5183953c783b0547d9eb43b7b344a2c46f69513d5952a78cddf3"}, - {file = "lxml-5.2.1-cp310-cp310-manylinux_2_17_ppc64le.manylinux2014_ppc64le.whl", hash = "sha256:2213afee476546a7f37c7a9b4ad4d74b1e112a6fafffc9185d6d21f043128c81"}, - {file = "lxml-5.2.1-cp310-cp310-manylinux_2_17_s390x.manylinux2014_s390x.whl", hash = "sha256:b070bbe8d3f0f6147689bed981d19bbb33070225373338df755a46893528104a"}, - {file = "lxml-5.2.1-cp310-cp310-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:e02c5175f63effbd7c5e590399c118d5db6183bbfe8e0d118bdb5c2d1b48d937"}, - {file = "lxml-5.2.1-cp310-cp310-manylinux_2_28_aarch64.whl", hash = "sha256:3dc773b2861b37b41a6136e0b72a1a44689a9c4c101e0cddb6b854016acc0aa8"}, - {file = "lxml-5.2.1-cp310-cp310-manylinux_2_28_ppc64le.whl", hash = "sha256:d7520db34088c96cc0e0a3ad51a4fd5b401f279ee112aa2b7f8f976d8582606d"}, - {file = "lxml-5.2.1-cp310-cp310-manylinux_2_28_s390x.whl", hash = "sha256:bcbf4af004f98793a95355980764b3d80d47117678118a44a80b721c9913436a"}, - {file = "lxml-5.2.1-cp310-cp310-manylinux_2_28_x86_64.whl", hash = "sha256:a2b44bec7adf3e9305ce6cbfa47a4395667e744097faed97abb4728748ba7d47"}, - {file = "lxml-5.2.1-cp310-cp310-musllinux_1_1_aarch64.whl", hash = "sha256:1c5bb205e9212d0ebddf946bc07e73fa245c864a5f90f341d11ce7b0b854475d"}, - {file = "lxml-5.2.1-cp310-cp310-musllinux_1_1_ppc64le.whl", hash = "sha256:2c9d147f754b1b0e723e6afb7ba1566ecb162fe4ea657f53d2139bbf894d050a"}, - {file = "lxml-5.2.1-cp310-cp310-musllinux_1_1_s390x.whl", hash = "sha256:3545039fa4779be2df51d6395e91a810f57122290864918b172d5dc7ca5bb433"}, - {file = "lxml-5.2.1-cp310-cp310-musllinux_1_1_x86_64.whl", hash = "sha256:a91481dbcddf1736c98a80b122afa0f7296eeb80b72344d7f45dc9f781551f56"}, - {file = "lxml-5.2.1-cp310-cp310-musllinux_1_2_aarch64.whl", hash = "sha256:2ddfe41ddc81f29a4c44c8ce239eda5ade4e7fc305fb7311759dd6229a080052"}, - {file = "lxml-5.2.1-cp310-cp310-musllinux_1_2_ppc64le.whl", hash = "sha256:a7baf9ffc238e4bf401299f50e971a45bfcc10a785522541a6e3179c83eabf0a"}, - {file = "lxml-5.2.1-cp310-cp310-musllinux_1_2_s390x.whl", hash = "sha256:31e9a882013c2f6bd2f2c974241bf4ba68c85eba943648ce88936d23209a2e01"}, - {file = "lxml-5.2.1-cp310-cp310-musllinux_1_2_x86_64.whl", hash = "sha256:0a15438253b34e6362b2dc41475e7f80de76320f335e70c5528b7148cac253a1"}, - {file = "lxml-5.2.1-cp310-cp310-win32.whl", hash = "sha256:6992030d43b916407c9aa52e9673612ff39a575523c5f4cf72cdef75365709a5"}, - {file = "lxml-5.2.1-cp310-cp310-win_amd64.whl", hash = "sha256:da052e7962ea2d5e5ef5bc0355d55007407087392cf465b7ad84ce5f3e25fe0f"}, - {file = "lxml-5.2.1-cp311-cp311-macosx_10_9_universal2.whl", hash = "sha256:70ac664a48aa64e5e635ae5566f5227f2ab7f66a3990d67566d9907edcbbf867"}, - {file = "lxml-5.2.1-cp311-cp311-macosx_10_9_x86_64.whl", hash = "sha256:1ae67b4e737cddc96c99461d2f75d218bdf7a0c3d3ad5604d1f5e7464a2f9ffe"}, - {file = "lxml-5.2.1-cp311-cp311-manylinux_2_12_i686.manylinux2010_i686.manylinux_2_17_i686.manylinux2014_i686.whl", hash = "sha256:f18a5a84e16886898e51ab4b1d43acb3083c39b14c8caeb3589aabff0ee0b270"}, - {file = "lxml-5.2.1-cp311-cp311-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:c6f2c8372b98208ce609c9e1d707f6918cc118fea4e2c754c9f0812c04ca116d"}, - {file = "lxml-5.2.1-cp311-cp311-manylinux_2_17_ppc64le.manylinux2014_ppc64le.whl", hash = "sha256:394ed3924d7a01b5bd9a0d9d946136e1c2f7b3dc337196d99e61740ed4bc6fe1"}, - {file = "lxml-5.2.1-cp311-cp311-manylinux_2_17_s390x.manylinux2014_s390x.whl", hash = "sha256:5d077bc40a1fe984e1a9931e801e42959a1e6598edc8a3223b061d30fbd26bbc"}, - {file = "lxml-5.2.1-cp311-cp311-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:764b521b75701f60683500d8621841bec41a65eb739b8466000c6fdbc256c240"}, - {file = "lxml-5.2.1-cp311-cp311-manylinux_2_28_aarch64.whl", hash = "sha256:3a6b45da02336895da82b9d472cd274b22dc27a5cea1d4b793874eead23dd14f"}, - {file = "lxml-5.2.1-cp311-cp311-manylinux_2_28_ppc64le.whl", hash = "sha256:5ea7b6766ac2dfe4bcac8b8595107665a18ef01f8c8343f00710b85096d1b53a"}, - {file = "lxml-5.2.1-cp311-cp311-manylinux_2_28_s390x.whl", hash = "sha256:e196a4ff48310ba62e53a8e0f97ca2bca83cdd2fe2934d8b5cb0df0a841b193a"}, - {file = "lxml-5.2.1-cp311-cp311-manylinux_2_28_x86_64.whl", hash = "sha256:200e63525948e325d6a13a76ba2911f927ad399ef64f57898cf7c74e69b71095"}, - {file = "lxml-5.2.1-cp311-cp311-musllinux_1_1_aarch64.whl", hash = "sha256:dae0ed02f6b075426accbf6b2863c3d0a7eacc1b41fb40f2251d931e50188dad"}, - {file = "lxml-5.2.1-cp311-cp311-musllinux_1_1_ppc64le.whl", hash = "sha256:ab31a88a651039a07a3ae327d68ebdd8bc589b16938c09ef3f32a4b809dc96ef"}, - {file = "lxml-5.2.1-cp311-cp311-musllinux_1_1_s390x.whl", hash = "sha256:df2e6f546c4df14bc81f9498bbc007fbb87669f1bb707c6138878c46b06f6510"}, - {file = "lxml-5.2.1-cp311-cp311-musllinux_1_1_x86_64.whl", hash = "sha256:5dd1537e7cc06efd81371f5d1a992bd5ab156b2b4f88834ca852de4a8ea523fa"}, - {file = "lxml-5.2.1-cp311-cp311-musllinux_1_2_aarch64.whl", hash = "sha256:9b9ec9c9978b708d488bec36b9e4c94d88fd12ccac3e62134a9d17ddba910ea9"}, - {file = "lxml-5.2.1-cp311-cp311-musllinux_1_2_ppc64le.whl", hash = "sha256:8e77c69d5892cb5ba71703c4057091e31ccf534bd7f129307a4d084d90d014b8"}, - {file = "lxml-5.2.1-cp311-cp311-musllinux_1_2_s390x.whl", hash = "sha256:a8d5c70e04aac1eda5c829a26d1f75c6e5286c74743133d9f742cda8e53b9c2f"}, - {file = "lxml-5.2.1-cp311-cp311-musllinux_1_2_x86_64.whl", hash = "sha256:c94e75445b00319c1fad60f3c98b09cd63fe1134a8a953dcd48989ef42318534"}, - {file = "lxml-5.2.1-cp311-cp311-win32.whl", hash = "sha256:4951e4f7a5680a2db62f7f4ab2f84617674d36d2d76a729b9a8be4b59b3659be"}, - {file = "lxml-5.2.1-cp311-cp311-win_amd64.whl", hash = "sha256:5c670c0406bdc845b474b680b9a5456c561c65cf366f8db5a60154088c92d102"}, - {file = "lxml-5.2.1-cp312-cp312-macosx_10_9_universal2.whl", hash = "sha256:abc25c3cab9ec7fcd299b9bcb3b8d4a1231877e425c650fa1c7576c5107ab851"}, - {file = "lxml-5.2.1-cp312-cp312-macosx_10_9_x86_64.whl", hash = "sha256:6935bbf153f9a965f1e07c2649c0849d29832487c52bb4a5c5066031d8b44fd5"}, - {file = "lxml-5.2.1-cp312-cp312-manylinux_2_12_i686.manylinux2010_i686.manylinux_2_17_i686.manylinux2014_i686.whl", hash = "sha256:d793bebb202a6000390a5390078e945bbb49855c29c7e4d56a85901326c3b5d9"}, - {file = "lxml-5.2.1-cp312-cp312-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:afd5562927cdef7c4f5550374acbc117fd4ecc05b5007bdfa57cc5355864e0a4"}, - {file = "lxml-5.2.1-cp312-cp312-manylinux_2_17_ppc64le.manylinux2014_ppc64le.whl", hash = "sha256:0e7259016bc4345a31af861fdce942b77c99049d6c2107ca07dc2bba2435c1d9"}, - {file = "lxml-5.2.1-cp312-cp312-manylinux_2_17_s390x.manylinux2014_s390x.whl", hash = "sha256:530e7c04f72002d2f334d5257c8a51bf409db0316feee7c87e4385043be136af"}, - {file = "lxml-5.2.1-cp312-cp312-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:59689a75ba8d7ffca577aefd017d08d659d86ad4585ccc73e43edbfc7476781a"}, - {file = "lxml-5.2.1-cp312-cp312-manylinux_2_28_aarch64.whl", hash = "sha256:f9737bf36262046213a28e789cc82d82c6ef19c85a0cf05e75c670a33342ac2c"}, - {file = "lxml-5.2.1-cp312-cp312-manylinux_2_28_ppc64le.whl", hash = "sha256:3a74c4f27167cb95c1d4af1c0b59e88b7f3e0182138db2501c353555f7ec57f4"}, - {file = "lxml-5.2.1-cp312-cp312-manylinux_2_28_s390x.whl", hash = "sha256:68a2610dbe138fa8c5826b3f6d98a7cfc29707b850ddcc3e21910a6fe51f6ca0"}, - {file = "lxml-5.2.1-cp312-cp312-manylinux_2_28_x86_64.whl", hash = "sha256:f0a1bc63a465b6d72569a9bba9f2ef0334c4e03958e043da1920299100bc7c08"}, - {file = "lxml-5.2.1-cp312-cp312-musllinux_1_1_aarch64.whl", hash = "sha256:c2d35a1d047efd68027817b32ab1586c1169e60ca02c65d428ae815b593e65d4"}, - {file = "lxml-5.2.1-cp312-cp312-musllinux_1_1_ppc64le.whl", hash = "sha256:79bd05260359170f78b181b59ce871673ed01ba048deef4bf49a36ab3e72e80b"}, - {file = "lxml-5.2.1-cp312-cp312-musllinux_1_1_s390x.whl", hash = "sha256:865bad62df277c04beed9478fe665b9ef63eb28fe026d5dedcb89b537d2e2ea6"}, - {file = "lxml-5.2.1-cp312-cp312-musllinux_1_1_x86_64.whl", hash = "sha256:44f6c7caff88d988db017b9b0e4ab04934f11e3e72d478031efc7edcac6c622f"}, - {file = "lxml-5.2.1-cp312-cp312-musllinux_1_2_aarch64.whl", hash = "sha256:71e97313406ccf55d32cc98a533ee05c61e15d11b99215b237346171c179c0b0"}, - {file = "lxml-5.2.1-cp312-cp312-musllinux_1_2_ppc64le.whl", hash = "sha256:057cdc6b86ab732cf361f8b4d8af87cf195a1f6dc5b0ff3de2dced242c2015e0"}, - {file = "lxml-5.2.1-cp312-cp312-musllinux_1_2_s390x.whl", hash = "sha256:f3bbbc998d42f8e561f347e798b85513ba4da324c2b3f9b7969e9c45b10f6169"}, - {file = "lxml-5.2.1-cp312-cp312-musllinux_1_2_x86_64.whl", hash = "sha256:491755202eb21a5e350dae00c6d9a17247769c64dcf62d8c788b5c135e179dc4"}, - {file = "lxml-5.2.1-cp312-cp312-win32.whl", hash = "sha256:8de8f9d6caa7f25b204fc861718815d41cbcf27ee8f028c89c882a0cf4ae4134"}, - {file = "lxml-5.2.1-cp312-cp312-win_amd64.whl", hash = "sha256:f2a9efc53d5b714b8df2b4b3e992accf8ce5bbdfe544d74d5c6766c9e1146a3a"}, - {file = "lxml-5.2.1-cp36-cp36m-macosx_10_9_x86_64.whl", hash = "sha256:70a9768e1b9d79edca17890175ba915654ee1725975d69ab64813dd785a2bd5c"}, - {file = "lxml-5.2.1-cp36-cp36m-manylinux_2_12_i686.manylinux2010_i686.manylinux_2_17_i686.manylinux2014_i686.whl", hash = "sha256:c38d7b9a690b090de999835f0443d8aa93ce5f2064035dfc48f27f02b4afc3d0"}, - {file = "lxml-5.2.1-cp36-cp36m-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:5670fb70a828663cc37552a2a85bf2ac38475572b0e9b91283dc09efb52c41d1"}, - {file = "lxml-5.2.1-cp36-cp36m-manylinux_2_28_x86_64.whl", hash = "sha256:958244ad566c3ffc385f47dddde4145088a0ab893504b54b52c041987a8c1863"}, - {file = "lxml-5.2.1-cp36-cp36m-musllinux_1_1_aarch64.whl", hash = "sha256:2a66bf12fbd4666dd023b6f51223aed3d9f3b40fef06ce404cb75bafd3d89536"}, - {file = "lxml-5.2.1-cp36-cp36m-musllinux_1_1_ppc64le.whl", hash = "sha256:9123716666e25b7b71c4e1789ec829ed18663152008b58544d95b008ed9e21e9"}, - {file = "lxml-5.2.1-cp36-cp36m-musllinux_1_1_s390x.whl", hash = "sha256:0c3f67e2aeda739d1cc0b1102c9a9129f7dc83901226cc24dd72ba275ced4218"}, - {file = "lxml-5.2.1-cp36-cp36m-musllinux_1_1_x86_64.whl", hash = "sha256:5d5792e9b3fb8d16a19f46aa8208987cfeafe082363ee2745ea8b643d9cc5b45"}, - {file = "lxml-5.2.1-cp36-cp36m-musllinux_1_2_aarch64.whl", hash = "sha256:88e22fc0a6684337d25c994381ed8a1580a6f5ebebd5ad41f89f663ff4ec2885"}, - {file = "lxml-5.2.1-cp36-cp36m-musllinux_1_2_ppc64le.whl", hash = "sha256:21c2e6b09565ba5b45ae161b438e033a86ad1736b8c838c766146eff8ceffff9"}, - {file = "lxml-5.2.1-cp36-cp36m-musllinux_1_2_s390x.whl", hash = "sha256:afbbdb120d1e78d2ba8064a68058001b871154cc57787031b645c9142b937a62"}, - {file = "lxml-5.2.1-cp36-cp36m-musllinux_1_2_x86_64.whl", hash = "sha256:627402ad8dea044dde2eccde4370560a2b750ef894c9578e1d4f8ffd54000461"}, - {file = "lxml-5.2.1-cp36-cp36m-win32.whl", hash = "sha256:e89580a581bf478d8dcb97d9cd011d567768e8bc4095f8557b21c4d4c5fea7d0"}, - {file = "lxml-5.2.1-cp36-cp36m-win_amd64.whl", hash = "sha256:59565f10607c244bc4c05c0c5fa0c190c990996e0c719d05deec7030c2aa8289"}, - {file = "lxml-5.2.1-cp37-cp37m-macosx_10_9_x86_64.whl", hash = "sha256:857500f88b17a6479202ff5fe5f580fc3404922cd02ab3716197adf1ef628029"}, - {file = "lxml-5.2.1-cp37-cp37m-manylinux_2_12_i686.manylinux2010_i686.manylinux_2_17_i686.manylinux2014_i686.whl", hash = "sha256:56c22432809085b3f3ae04e6e7bdd36883d7258fcd90e53ba7b2e463efc7a6af"}, - {file = "lxml-5.2.1-cp37-cp37m-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:a55ee573116ba208932e2d1a037cc4b10d2c1cb264ced2184d00b18ce585b2c0"}, - {file = "lxml-5.2.1-cp37-cp37m-manylinux_2_28_x86_64.whl", hash = "sha256:6cf58416653c5901e12624e4013708b6e11142956e7f35e7a83f1ab02f3fe456"}, - {file = "lxml-5.2.1-cp37-cp37m-musllinux_1_1_aarch64.whl", hash = "sha256:64c2baa7774bc22dd4474248ba16fe1a7f611c13ac6123408694d4cc93d66dbd"}, - {file = "lxml-5.2.1-cp37-cp37m-musllinux_1_1_ppc64le.whl", hash = "sha256:74b28c6334cca4dd704e8004cba1955af0b778cf449142e581e404bd211fb619"}, - {file = "lxml-5.2.1-cp37-cp37m-musllinux_1_1_s390x.whl", hash = "sha256:7221d49259aa1e5a8f00d3d28b1e0b76031655ca74bb287123ef56c3db92f213"}, - {file = "lxml-5.2.1-cp37-cp37m-musllinux_1_1_x86_64.whl", hash = "sha256:3dbe858ee582cbb2c6294dc85f55b5f19c918c2597855e950f34b660f1a5ede6"}, - {file = "lxml-5.2.1-cp37-cp37m-musllinux_1_2_aarch64.whl", hash = "sha256:04ab5415bf6c86e0518d57240a96c4d1fcfc3cb370bb2ac2a732b67f579e5a04"}, - {file = "lxml-5.2.1-cp37-cp37m-musllinux_1_2_ppc64le.whl", hash = "sha256:6ab833e4735a7e5533711a6ea2df26459b96f9eec36d23f74cafe03631647c41"}, - {file = "lxml-5.2.1-cp37-cp37m-musllinux_1_2_s390x.whl", hash = "sha256:f443cdef978430887ed55112b491f670bba6462cea7a7742ff8f14b7abb98d75"}, - {file = "lxml-5.2.1-cp37-cp37m-musllinux_1_2_x86_64.whl", hash = "sha256:9e2addd2d1866fe112bc6f80117bcc6bc25191c5ed1bfbcf9f1386a884252ae8"}, - {file = "lxml-5.2.1-cp37-cp37m-win32.whl", hash = "sha256:f51969bac61441fd31f028d7b3b45962f3ecebf691a510495e5d2cd8c8092dbd"}, - {file = "lxml-5.2.1-cp37-cp37m-win_amd64.whl", hash = "sha256:b0b58fbfa1bf7367dde8a557994e3b1637294be6cf2169810375caf8571a085c"}, - {file = "lxml-5.2.1-cp38-cp38-macosx_10_9_universal2.whl", hash = "sha256:3e183c6e3298a2ed5af9d7a356ea823bccaab4ec2349dc9ed83999fd289d14d5"}, - {file = "lxml-5.2.1-cp38-cp38-macosx_10_9_x86_64.whl", hash = "sha256:804f74efe22b6a227306dd890eecc4f8c59ff25ca35f1f14e7482bbce96ef10b"}, - {file = "lxml-5.2.1-cp38-cp38-manylinux_2_12_i686.manylinux2010_i686.manylinux_2_17_i686.manylinux2014_i686.whl", hash = "sha256:08802f0c56ed150cc6885ae0788a321b73505d2263ee56dad84d200cab11c07a"}, - {file = "lxml-5.2.1-cp38-cp38-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:0f8c09ed18ecb4ebf23e02b8e7a22a05d6411911e6fabef3a36e4f371f4f2585"}, - {file = "lxml-5.2.1-cp38-cp38-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:e3d30321949861404323c50aebeb1943461a67cd51d4200ab02babc58bd06a86"}, - {file = "lxml-5.2.1-cp38-cp38-manylinux_2_28_aarch64.whl", hash = "sha256:b560e3aa4b1d49e0e6c847d72665384db35b2f5d45f8e6a5c0072e0283430533"}, - {file = "lxml-5.2.1-cp38-cp38-manylinux_2_28_x86_64.whl", hash = "sha256:058a1308914f20784c9f4674036527e7c04f7be6fb60f5d61353545aa7fcb739"}, - {file = "lxml-5.2.1-cp38-cp38-musllinux_1_1_aarch64.whl", hash = "sha256:adfb84ca6b87e06bc6b146dc7da7623395db1e31621c4785ad0658c5028b37d7"}, - {file = "lxml-5.2.1-cp38-cp38-musllinux_1_1_ppc64le.whl", hash = "sha256:417d14450f06d51f363e41cace6488519038f940676ce9664b34ebf5653433a5"}, - {file = "lxml-5.2.1-cp38-cp38-musllinux_1_1_s390x.whl", hash = "sha256:a2dfe7e2473f9b59496247aad6e23b405ddf2e12ef0765677b0081c02d6c2c0b"}, - {file = "lxml-5.2.1-cp38-cp38-musllinux_1_1_x86_64.whl", hash = "sha256:bf2e2458345d9bffb0d9ec16557d8858c9c88d2d11fed53998512504cd9df49b"}, - {file = "lxml-5.2.1-cp38-cp38-musllinux_1_2_aarch64.whl", hash = "sha256:58278b29cb89f3e43ff3e0c756abbd1518f3ee6adad9e35b51fb101c1c1daaec"}, - {file = "lxml-5.2.1-cp38-cp38-musllinux_1_2_ppc64le.whl", hash = "sha256:64641a6068a16201366476731301441ce93457eb8452056f570133a6ceb15fca"}, - {file = "lxml-5.2.1-cp38-cp38-musllinux_1_2_s390x.whl", hash = "sha256:78bfa756eab503673991bdcf464917ef7845a964903d3302c5f68417ecdc948c"}, - {file = "lxml-5.2.1-cp38-cp38-musllinux_1_2_x86_64.whl", hash = "sha256:11a04306fcba10cd9637e669fd73aa274c1c09ca64af79c041aa820ea992b637"}, - {file = "lxml-5.2.1-cp38-cp38-win32.whl", hash = "sha256:66bc5eb8a323ed9894f8fa0ee6cb3e3fb2403d99aee635078fd19a8bc7a5a5da"}, - {file = "lxml-5.2.1-cp38-cp38-win_amd64.whl", hash = "sha256:9676bfc686fa6a3fa10cd4ae6b76cae8be26eb5ec6811d2a325636c460da1806"}, - {file = "lxml-5.2.1-cp39-cp39-macosx_10_9_universal2.whl", hash = "sha256:cf22b41fdae514ee2f1691b6c3cdeae666d8b7fa9434de445f12bbeee0cf48dd"}, - {file = "lxml-5.2.1-cp39-cp39-macosx_10_9_x86_64.whl", hash = "sha256:ec42088248c596dbd61d4ae8a5b004f97a4d91a9fd286f632e42e60b706718d7"}, - {file = "lxml-5.2.1-cp39-cp39-manylinux_2_12_i686.manylinux2010_i686.manylinux_2_17_i686.manylinux2014_i686.whl", hash = "sha256:cd53553ddad4a9c2f1f022756ae64abe16da1feb497edf4d9f87f99ec7cf86bd"}, - {file = "lxml-5.2.1-cp39-cp39-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:feaa45c0eae424d3e90d78823f3828e7dc42a42f21ed420db98da2c4ecf0a2cb"}, - {file = "lxml-5.2.1-cp39-cp39-manylinux_2_17_ppc64le.manylinux2014_ppc64le.whl", hash = "sha256:ddc678fb4c7e30cf830a2b5a8d869538bc55b28d6c68544d09c7d0d8f17694dc"}, - {file = "lxml-5.2.1-cp39-cp39-manylinux_2_17_s390x.manylinux2014_s390x.whl", hash = "sha256:853e074d4931dbcba7480d4dcab23d5c56bd9607f92825ab80ee2bd916edea53"}, - {file = "lxml-5.2.1-cp39-cp39-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:cc4691d60512798304acb9207987e7b2b7c44627ea88b9d77489bbe3e6cc3bd4"}, - {file = "lxml-5.2.1-cp39-cp39-manylinux_2_28_aarch64.whl", hash = "sha256:beb72935a941965c52990f3a32d7f07ce869fe21c6af8b34bf6a277b33a345d3"}, - {file = "lxml-5.2.1-cp39-cp39-manylinux_2_28_ppc64le.whl", hash = "sha256:6588c459c5627fefa30139be4d2e28a2c2a1d0d1c265aad2ba1935a7863a4913"}, - {file = "lxml-5.2.1-cp39-cp39-manylinux_2_28_s390x.whl", hash = "sha256:588008b8497667f1ddca7c99f2f85ce8511f8f7871b4a06ceede68ab62dff64b"}, - {file = "lxml-5.2.1-cp39-cp39-manylinux_2_28_x86_64.whl", hash = "sha256:b6787b643356111dfd4032b5bffe26d2f8331556ecb79e15dacb9275da02866e"}, - {file = "lxml-5.2.1-cp39-cp39-musllinux_1_1_aarch64.whl", hash = "sha256:7c17b64b0a6ef4e5affae6a3724010a7a66bda48a62cfe0674dabd46642e8b54"}, - {file = "lxml-5.2.1-cp39-cp39-musllinux_1_1_ppc64le.whl", hash = "sha256:27aa20d45c2e0b8cd05da6d4759649170e8dfc4f4e5ef33a34d06f2d79075d57"}, - {file = "lxml-5.2.1-cp39-cp39-musllinux_1_1_s390x.whl", hash = "sha256:d4f2cc7060dc3646632d7f15fe68e2fa98f58e35dd5666cd525f3b35d3fed7f8"}, - {file = "lxml-5.2.1-cp39-cp39-musllinux_1_1_x86_64.whl", hash = "sha256:ff46d772d5f6f73564979cd77a4fffe55c916a05f3cb70e7c9c0590059fb29ef"}, - {file = "lxml-5.2.1-cp39-cp39-musllinux_1_2_aarch64.whl", hash = "sha256:96323338e6c14e958d775700ec8a88346014a85e5de73ac7967db0367582049b"}, - {file = "lxml-5.2.1-cp39-cp39-musllinux_1_2_ppc64le.whl", hash = "sha256:52421b41ac99e9d91934e4d0d0fe7da9f02bfa7536bb4431b4c05c906c8c6919"}, - {file = "lxml-5.2.1-cp39-cp39-musllinux_1_2_s390x.whl", hash = "sha256:7a7efd5b6d3e30d81ec68ab8a88252d7c7c6f13aaa875009fe3097eb4e30b84c"}, - {file = "lxml-5.2.1-cp39-cp39-musllinux_1_2_x86_64.whl", hash = "sha256:0ed777c1e8c99b63037b91f9d73a6aad20fd035d77ac84afcc205225f8f41188"}, - {file = "lxml-5.2.1-cp39-cp39-win32.whl", hash = "sha256:644df54d729ef810dcd0f7732e50e5ad1bd0a135278ed8d6bcb06f33b6b6f708"}, - {file = "lxml-5.2.1-cp39-cp39-win_amd64.whl", hash = "sha256:9ca66b8e90daca431b7ca1408cae085d025326570e57749695d6a01454790e95"}, - {file = "lxml-5.2.1-pp310-pypy310_pp73-macosx_10_9_x86_64.whl", hash = "sha256:9b0ff53900566bc6325ecde9181d89afadc59c5ffa39bddf084aaedfe3b06a11"}, - {file = "lxml-5.2.1-pp310-pypy310_pp73-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:fd6037392f2d57793ab98d9e26798f44b8b4da2f2464388588f48ac52c489ea1"}, - {file = "lxml-5.2.1-pp310-pypy310_pp73-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:8b9c07e7a45bb64e21df4b6aa623cb8ba214dfb47d2027d90eac197329bb5e94"}, - {file = "lxml-5.2.1-pp310-pypy310_pp73-manylinux_2_28_aarch64.whl", hash = "sha256:3249cc2989d9090eeac5467e50e9ec2d40704fea9ab72f36b034ea34ee65ca98"}, - {file = "lxml-5.2.1-pp310-pypy310_pp73-manylinux_2_28_x86_64.whl", hash = "sha256:f42038016852ae51b4088b2862126535cc4fc85802bfe30dea3500fdfaf1864e"}, - {file = "lxml-5.2.1-pp310-pypy310_pp73-win_amd64.whl", hash = "sha256:533658f8fbf056b70e434dff7e7aa611bcacb33e01f75de7f821810e48d1bb66"}, - {file = "lxml-5.2.1-pp37-pypy37_pp73-macosx_10_9_x86_64.whl", hash = "sha256:622020d4521e22fb371e15f580d153134bfb68d6a429d1342a25f051ec72df1c"}, - {file = "lxml-5.2.1-pp37-pypy37_pp73-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:efa7b51824aa0ee957ccd5a741c73e6851de55f40d807f08069eb4c5a26b2baa"}, - {file = "lxml-5.2.1-pp37-pypy37_pp73-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:9c6ad0fbf105f6bcc9300c00010a2ffa44ea6f555df1a2ad95c88f5656104817"}, - {file = "lxml-5.2.1-pp37-pypy37_pp73-manylinux_2_28_aarch64.whl", hash = "sha256:e233db59c8f76630c512ab4a4daf5a5986da5c3d5b44b8e9fc742f2a24dbd460"}, - {file = "lxml-5.2.1-pp37-pypy37_pp73-manylinux_2_28_x86_64.whl", hash = "sha256:6a014510830df1475176466b6087fc0c08b47a36714823e58d8b8d7709132a96"}, - {file = "lxml-5.2.1-pp37-pypy37_pp73-win_amd64.whl", hash = "sha256:d38c8f50ecf57f0463399569aa388b232cf1a2ffb8f0a9a5412d0db57e054860"}, - {file = "lxml-5.2.1-pp38-pypy38_pp73-macosx_10_9_x86_64.whl", hash = "sha256:5aea8212fb823e006b995c4dda533edcf98a893d941f173f6c9506126188860d"}, - {file = "lxml-5.2.1-pp38-pypy38_pp73-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:ff097ae562e637409b429a7ac958a20aab237a0378c42dabaa1e3abf2f896e5f"}, - {file = "lxml-5.2.1-pp38-pypy38_pp73-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:0f5d65c39f16717a47c36c756af0fb36144069c4718824b7533f803ecdf91138"}, - {file = "lxml-5.2.1-pp38-pypy38_pp73-manylinux_2_28_aarch64.whl", hash = "sha256:3d0c3dd24bb4605439bf91068598d00c6370684f8de4a67c2992683f6c309d6b"}, - {file = "lxml-5.2.1-pp38-pypy38_pp73-manylinux_2_28_x86_64.whl", hash = "sha256:e32be23d538753a8adb6c85bd539f5fd3b15cb987404327c569dfc5fd8366e85"}, - {file = "lxml-5.2.1-pp38-pypy38_pp73-win_amd64.whl", hash = "sha256:cc518cea79fd1e2f6c90baafa28906d4309d24f3a63e801d855e7424c5b34144"}, - {file = "lxml-5.2.1-pp39-pypy39_pp73-macosx_10_9_x86_64.whl", hash = "sha256:a0af35bd8ebf84888373630f73f24e86bf016642fb8576fba49d3d6b560b7cbc"}, - {file = "lxml-5.2.1-pp39-pypy39_pp73-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:f8aca2e3a72f37bfc7b14ba96d4056244001ddcc18382bd0daa087fd2e68a354"}, - {file = "lxml-5.2.1-pp39-pypy39_pp73-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:5ca1e8188b26a819387b29c3895c47a5e618708fe6f787f3b1a471de2c4a94d9"}, - {file = "lxml-5.2.1-pp39-pypy39_pp73-manylinux_2_28_aarch64.whl", hash = "sha256:c8ba129e6d3b0136a0f50345b2cb3db53f6bda5dd8c7f5d83fbccba97fb5dcb5"}, - {file = "lxml-5.2.1-pp39-pypy39_pp73-manylinux_2_28_x86_64.whl", hash = "sha256:e998e304036198b4f6914e6a1e2b6f925208a20e2042563d9734881150c6c246"}, - {file = "lxml-5.2.1-pp39-pypy39_pp73-win_amd64.whl", hash = "sha256:d3be9b2076112e51b323bdf6d5a7f8a798de55fb8d95fcb64bd179460cdc0704"}, - {file = "lxml-5.2.1.tar.gz", hash = "sha256:3f7765e69bbce0906a7c74d5fe46d2c7a7596147318dbc08e4a2431f3060e306"}, + {file = "lxml-5.2.2-cp310-cp310-macosx_10_9_universal2.whl", hash = "sha256:364d03207f3e603922d0d3932ef363d55bbf48e3647395765f9bfcbdf6d23632"}, + {file = "lxml-5.2.2-cp310-cp310-macosx_10_9_x86_64.whl", hash = "sha256:50127c186f191b8917ea2fb8b206fbebe87fd414a6084d15568c27d0a21d60db"}, + {file = "lxml-5.2.2-cp310-cp310-manylinux_2_12_i686.manylinux2010_i686.manylinux_2_17_i686.manylinux2014_i686.whl", hash = "sha256:74e4f025ef3db1c6da4460dd27c118d8cd136d0391da4e387a15e48e5c975147"}, + {file = "lxml-5.2.2-cp310-cp310-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:981a06a3076997adf7c743dcd0d7a0415582661e2517c7d961493572e909aa1d"}, + {file = "lxml-5.2.2-cp310-cp310-manylinux_2_17_ppc64le.manylinux2014_ppc64le.whl", hash = "sha256:aef5474d913d3b05e613906ba4090433c515e13ea49c837aca18bde190853dff"}, + {file = "lxml-5.2.2-cp310-cp310-manylinux_2_17_s390x.manylinux2014_s390x.whl", hash = "sha256:1e275ea572389e41e8b039ac076a46cb87ee6b8542df3fff26f5baab43713bca"}, + {file = "lxml-5.2.2-cp310-cp310-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:f5b65529bb2f21ac7861a0e94fdbf5dc0daab41497d18223b46ee8515e5ad297"}, + {file = "lxml-5.2.2-cp310-cp310-manylinux_2_28_aarch64.whl", hash = "sha256:bcc98f911f10278d1daf14b87d65325851a1d29153caaf146877ec37031d5f36"}, + {file = "lxml-5.2.2-cp310-cp310-manylinux_2_28_ppc64le.whl", hash = "sha256:b47633251727c8fe279f34025844b3b3a3e40cd1b198356d003aa146258d13a2"}, + {file = "lxml-5.2.2-cp310-cp310-manylinux_2_28_s390x.whl", hash = "sha256:fbc9d316552f9ef7bba39f4edfad4a734d3d6f93341232a9dddadec4f15d425f"}, + {file = "lxml-5.2.2-cp310-cp310-manylinux_2_28_x86_64.whl", hash = "sha256:13e69be35391ce72712184f69000cda04fc89689429179bc4c0ae5f0b7a8c21b"}, + {file = "lxml-5.2.2-cp310-cp310-musllinux_1_1_aarch64.whl", hash = "sha256:3b6a30a9ab040b3f545b697cb3adbf3696c05a3a68aad172e3fd7ca73ab3c835"}, + {file = "lxml-5.2.2-cp310-cp310-musllinux_1_1_ppc64le.whl", hash = "sha256:a233bb68625a85126ac9f1fc66d24337d6e8a0f9207b688eec2e7c880f012ec0"}, + {file = "lxml-5.2.2-cp310-cp310-musllinux_1_1_s390x.whl", hash = "sha256:dfa7c241073d8f2b8e8dbc7803c434f57dbb83ae2a3d7892dd068d99e96efe2c"}, + {file = "lxml-5.2.2-cp310-cp310-musllinux_1_1_x86_64.whl", hash = "sha256:1a7aca7964ac4bb07680d5c9d63b9d7028cace3e2d43175cb50bba8c5ad33316"}, + {file = "lxml-5.2.2-cp310-cp310-musllinux_1_2_aarch64.whl", hash = "sha256:ae4073a60ab98529ab8a72ebf429f2a8cc612619a8c04e08bed27450d52103c0"}, + {file = "lxml-5.2.2-cp310-cp310-musllinux_1_2_ppc64le.whl", hash = "sha256:ffb2be176fed4457e445fe540617f0252a72a8bc56208fd65a690fdb1f57660b"}, + {file = "lxml-5.2.2-cp310-cp310-musllinux_1_2_s390x.whl", hash = "sha256:e290d79a4107d7d794634ce3e985b9ae4f920380a813717adf61804904dc4393"}, + {file = "lxml-5.2.2-cp310-cp310-musllinux_1_2_x86_64.whl", hash = "sha256:96e85aa09274955bb6bd483eaf5b12abadade01010478154b0ec70284c1b1526"}, + {file = "lxml-5.2.2-cp310-cp310-win32.whl", hash = "sha256:f956196ef61369f1685d14dad80611488d8dc1ef00be57c0c5a03064005b0f30"}, + {file = "lxml-5.2.2-cp310-cp310-win_amd64.whl", hash = "sha256:875a3f90d7eb5c5d77e529080d95140eacb3c6d13ad5b616ee8095447b1d22e7"}, + {file = "lxml-5.2.2-cp311-cp311-macosx_10_9_universal2.whl", hash = "sha256:45f9494613160d0405682f9eee781c7e6d1bf45f819654eb249f8f46a2c22545"}, + {file = "lxml-5.2.2-cp311-cp311-macosx_10_9_x86_64.whl", hash = "sha256:b0b3f2df149efb242cee2ffdeb6674b7f30d23c9a7af26595099afaf46ef4e88"}, + {file = "lxml-5.2.2-cp311-cp311-manylinux_2_12_i686.manylinux2010_i686.manylinux_2_17_i686.manylinux2014_i686.whl", hash = "sha256:d28cb356f119a437cc58a13f8135ab8a4c8ece18159eb9194b0d269ec4e28083"}, + {file = "lxml-5.2.2-cp311-cp311-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:657a972f46bbefdbba2d4f14413c0d079f9ae243bd68193cb5061b9732fa54c1"}, + {file = "lxml-5.2.2-cp311-cp311-manylinux_2_17_ppc64le.manylinux2014_ppc64le.whl", hash = "sha256:b74b9ea10063efb77a965a8d5f4182806fbf59ed068b3c3fd6f30d2ac7bee734"}, + {file = "lxml-5.2.2-cp311-cp311-manylinux_2_17_s390x.manylinux2014_s390x.whl", hash = "sha256:07542787f86112d46d07d4f3c4e7c760282011b354d012dc4141cc12a68cef5f"}, + {file = "lxml-5.2.2-cp311-cp311-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:303f540ad2dddd35b92415b74b900c749ec2010e703ab3bfd6660979d01fd4ed"}, + {file = "lxml-5.2.2-cp311-cp311-manylinux_2_28_aarch64.whl", hash = "sha256:2eb2227ce1ff998faf0cd7fe85bbf086aa41dfc5af3b1d80867ecfe75fb68df3"}, + {file = "lxml-5.2.2-cp311-cp311-manylinux_2_28_ppc64le.whl", hash = "sha256:1d8a701774dfc42a2f0b8ccdfe7dbc140500d1049e0632a611985d943fcf12df"}, + {file = "lxml-5.2.2-cp311-cp311-manylinux_2_28_s390x.whl", hash = "sha256:56793b7a1a091a7c286b5f4aa1fe4ae5d1446fe742d00cdf2ffb1077865db10d"}, + {file = "lxml-5.2.2-cp311-cp311-manylinux_2_28_x86_64.whl", hash = "sha256:eb00b549b13bd6d884c863554566095bf6fa9c3cecb2e7b399c4bc7904cb33b5"}, + {file = "lxml-5.2.2-cp311-cp311-musllinux_1_1_aarch64.whl", hash = "sha256:1a2569a1f15ae6c8c64108a2cd2b4a858fc1e13d25846be0666fc144715e32ab"}, + {file = "lxml-5.2.2-cp311-cp311-musllinux_1_1_ppc64le.whl", hash = "sha256:8cf85a6e40ff1f37fe0f25719aadf443686b1ac7652593dc53c7ef9b8492b115"}, + {file = "lxml-5.2.2-cp311-cp311-musllinux_1_1_s390x.whl", hash = "sha256:d237ba6664b8e60fd90b8549a149a74fcc675272e0e95539a00522e4ca688b04"}, + {file = "lxml-5.2.2-cp311-cp311-musllinux_1_1_x86_64.whl", hash = "sha256:0b3f5016e00ae7630a4b83d0868fca1e3d494c78a75b1c7252606a3a1c5fc2ad"}, + {file = "lxml-5.2.2-cp311-cp311-musllinux_1_2_aarch64.whl", hash = "sha256:23441e2b5339bc54dc949e9e675fa35efe858108404ef9aa92f0456929ef6fe8"}, + {file = "lxml-5.2.2-cp311-cp311-musllinux_1_2_ppc64le.whl", hash = "sha256:2fb0ba3e8566548d6c8e7dd82a8229ff47bd8fb8c2da237607ac8e5a1b8312e5"}, + {file = "lxml-5.2.2-cp311-cp311-musllinux_1_2_s390x.whl", hash = "sha256:79d1fb9252e7e2cfe4de6e9a6610c7cbb99b9708e2c3e29057f487de5a9eaefa"}, + {file = "lxml-5.2.2-cp311-cp311-musllinux_1_2_x86_64.whl", hash = "sha256:6dcc3d17eac1df7859ae01202e9bb11ffa8c98949dcbeb1069c8b9a75917e01b"}, + {file = "lxml-5.2.2-cp311-cp311-win32.whl", hash = "sha256:4c30a2f83677876465f44c018830f608fa3c6a8a466eb223535035fbc16f3438"}, + {file = "lxml-5.2.2-cp311-cp311-win_amd64.whl", hash = "sha256:49095a38eb333aaf44c06052fd2ec3b8f23e19747ca7ec6f6c954ffea6dbf7be"}, + {file = "lxml-5.2.2-cp312-cp312-macosx_10_9_universal2.whl", hash = "sha256:7429e7faa1a60cad26ae4227f4dd0459efde239e494c7312624ce228e04f6391"}, + {file = "lxml-5.2.2-cp312-cp312-macosx_10_9_x86_64.whl", hash = "sha256:50ccb5d355961c0f12f6cf24b7187dbabd5433f29e15147a67995474f27d1776"}, + {file = "lxml-5.2.2-cp312-cp312-manylinux_2_12_i686.manylinux2010_i686.manylinux_2_17_i686.manylinux2014_i686.whl", hash = "sha256:dc911208b18842a3a57266d8e51fc3cfaccee90a5351b92079beed912a7914c2"}, + {file = "lxml-5.2.2-cp312-cp312-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:33ce9e786753743159799fdf8e92a5da351158c4bfb6f2db0bf31e7892a1feb5"}, + {file = "lxml-5.2.2-cp312-cp312-manylinux_2_17_ppc64le.manylinux2014_ppc64le.whl", hash = "sha256:ec87c44f619380878bd49ca109669c9f221d9ae6883a5bcb3616785fa8f94c97"}, + {file = "lxml-5.2.2-cp312-cp312-manylinux_2_17_s390x.manylinux2014_s390x.whl", hash = "sha256:08ea0f606808354eb8f2dfaac095963cb25d9d28e27edcc375d7b30ab01abbf6"}, + {file = "lxml-5.2.2-cp312-cp312-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:75a9632f1d4f698b2e6e2e1ada40e71f369b15d69baddb8968dcc8e683839b18"}, + {file = "lxml-5.2.2-cp312-cp312-manylinux_2_28_aarch64.whl", hash = "sha256:74da9f97daec6928567b48c90ea2c82a106b2d500f397eeb8941e47d30b1ca85"}, + {file = "lxml-5.2.2-cp312-cp312-manylinux_2_28_ppc64le.whl", hash = "sha256:0969e92af09c5687d769731e3f39ed62427cc72176cebb54b7a9d52cc4fa3b73"}, + {file = "lxml-5.2.2-cp312-cp312-manylinux_2_28_s390x.whl", hash = "sha256:9164361769b6ca7769079f4d426a41df6164879f7f3568be9086e15baca61466"}, + {file = "lxml-5.2.2-cp312-cp312-manylinux_2_28_x86_64.whl", hash = "sha256:d26a618ae1766279f2660aca0081b2220aca6bd1aa06b2cf73f07383faf48927"}, + {file = "lxml-5.2.2-cp312-cp312-musllinux_1_1_aarch64.whl", hash = "sha256:ab67ed772c584b7ef2379797bf14b82df9aa5f7438c5b9a09624dd834c1c1aaf"}, + {file = "lxml-5.2.2-cp312-cp312-musllinux_1_1_ppc64le.whl", hash = "sha256:3d1e35572a56941b32c239774d7e9ad724074d37f90c7a7d499ab98761bd80cf"}, + {file = "lxml-5.2.2-cp312-cp312-musllinux_1_1_s390x.whl", hash = "sha256:8268cbcd48c5375f46e000adb1390572c98879eb4f77910c6053d25cc3ac2c67"}, + {file = "lxml-5.2.2-cp312-cp312-musllinux_1_1_x86_64.whl", hash = "sha256:e282aedd63c639c07c3857097fc0e236f984ceb4089a8b284da1c526491e3f3d"}, + {file = "lxml-5.2.2-cp312-cp312-musllinux_1_2_aarch64.whl", hash = "sha256:6dfdc2bfe69e9adf0df4915949c22a25b39d175d599bf98e7ddf620a13678585"}, + {file = "lxml-5.2.2-cp312-cp312-musllinux_1_2_ppc64le.whl", hash = "sha256:4aefd911793b5d2d7a921233a54c90329bf3d4a6817dc465f12ffdfe4fc7b8fe"}, + {file = "lxml-5.2.2-cp312-cp312-musllinux_1_2_s390x.whl", hash = "sha256:8b8df03a9e995b6211dafa63b32f9d405881518ff1ddd775db4e7b98fb545e1c"}, + {file = "lxml-5.2.2-cp312-cp312-musllinux_1_2_x86_64.whl", hash = "sha256:f11ae142f3a322d44513de1018b50f474f8f736bc3cd91d969f464b5bfef8836"}, + {file = "lxml-5.2.2-cp312-cp312-win32.whl", hash = "sha256:16a8326e51fcdffc886294c1e70b11ddccec836516a343f9ed0f82aac043c24a"}, + {file = "lxml-5.2.2-cp312-cp312-win_amd64.whl", hash = "sha256:bbc4b80af581e18568ff07f6395c02114d05f4865c2812a1f02f2eaecf0bfd48"}, + {file = "lxml-5.2.2-cp36-cp36m-macosx_10_9_x86_64.whl", hash = "sha256:e3d9d13603410b72787579769469af730c38f2f25505573a5888a94b62b920f8"}, + {file = "lxml-5.2.2-cp36-cp36m-manylinux_2_12_i686.manylinux2010_i686.manylinux_2_17_i686.manylinux2014_i686.whl", hash = "sha256:38b67afb0a06b8575948641c1d6d68e41b83a3abeae2ca9eed2ac59892b36706"}, + {file = "lxml-5.2.2-cp36-cp36m-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:c689d0d5381f56de7bd6966a4541bff6e08bf8d3871bbd89a0c6ab18aa699573"}, + {file = "lxml-5.2.2-cp36-cp36m-manylinux_2_28_x86_64.whl", hash = "sha256:cf2a978c795b54c539f47964ec05e35c05bd045db5ca1e8366988c7f2fe6b3ce"}, + {file = "lxml-5.2.2-cp36-cp36m-manylinux_2_5_x86_64.manylinux1_x86_64.whl", hash = "sha256:739e36ef7412b2bd940f75b278749106e6d025e40027c0b94a17ef7968d55d56"}, + {file = "lxml-5.2.2-cp36-cp36m-musllinux_1_1_x86_64.whl", hash = "sha256:d8bbcd21769594dbba9c37d3c819e2d5847656ca99c747ddb31ac1701d0c0ed9"}, + {file = "lxml-5.2.2-cp36-cp36m-musllinux_1_2_x86_64.whl", hash = "sha256:2304d3c93f2258ccf2cf7a6ba8c761d76ef84948d87bf9664e14d203da2cd264"}, + {file = "lxml-5.2.2-cp36-cp36m-win32.whl", hash = "sha256:02437fb7308386867c8b7b0e5bc4cd4b04548b1c5d089ffb8e7b31009b961dc3"}, + {file = "lxml-5.2.2-cp36-cp36m-win_amd64.whl", hash = "sha256:edcfa83e03370032a489430215c1e7783128808fd3e2e0a3225deee278585196"}, + {file = "lxml-5.2.2-cp37-cp37m-macosx_10_9_x86_64.whl", hash = "sha256:28bf95177400066596cdbcfc933312493799382879da504633d16cf60bba735b"}, + {file = "lxml-5.2.2-cp37-cp37m-manylinux_2_12_i686.manylinux2010_i686.manylinux_2_17_i686.manylinux2014_i686.whl", hash = "sha256:3a745cc98d504d5bd2c19b10c79c61c7c3df9222629f1b6210c0368177589fb8"}, + {file = "lxml-5.2.2-cp37-cp37m-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:1b590b39ef90c6b22ec0be925b211298e810b4856909c8ca60d27ffbca6c12e6"}, + {file = "lxml-5.2.2-cp37-cp37m-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:b336b0416828022bfd5a2e3083e7f5ba54b96242159f83c7e3eebaec752f1716"}, + {file = "lxml-5.2.2-cp37-cp37m-manylinux_2_28_aarch64.whl", hash = "sha256:c2faf60c583af0d135e853c86ac2735ce178f0e338a3c7f9ae8f622fd2eb788c"}, + {file = "lxml-5.2.2-cp37-cp37m-manylinux_2_28_x86_64.whl", hash = "sha256:4bc6cb140a7a0ad1f7bc37e018d0ed690b7b6520ade518285dc3171f7a117905"}, + {file = "lxml-5.2.2-cp37-cp37m-musllinux_1_1_aarch64.whl", hash = "sha256:7ff762670cada8e05b32bf1e4dc50b140790909caa8303cfddc4d702b71ea184"}, + {file = "lxml-5.2.2-cp37-cp37m-musllinux_1_1_x86_64.whl", hash = "sha256:57f0a0bbc9868e10ebe874e9f129d2917750adf008fe7b9c1598c0fbbfdde6a6"}, + {file = "lxml-5.2.2-cp37-cp37m-musllinux_1_2_aarch64.whl", hash = "sha256:a6d2092797b388342c1bc932077ad232f914351932353e2e8706851c870bca1f"}, + {file = "lxml-5.2.2-cp37-cp37m-musllinux_1_2_x86_64.whl", hash = "sha256:60499fe961b21264e17a471ec296dcbf4365fbea611bf9e303ab69db7159ce61"}, + {file = "lxml-5.2.2-cp37-cp37m-win32.whl", hash = "sha256:d9b342c76003c6b9336a80efcc766748a333573abf9350f4094ee46b006ec18f"}, + {file = "lxml-5.2.2-cp37-cp37m-win_amd64.whl", hash = "sha256:b16db2770517b8799c79aa80f4053cd6f8b716f21f8aca962725a9565ce3ee40"}, + {file = "lxml-5.2.2-cp38-cp38-macosx_10_9_x86_64.whl", hash = "sha256:7ed07b3062b055d7a7f9d6557a251cc655eed0b3152b76de619516621c56f5d3"}, + {file = "lxml-5.2.2-cp38-cp38-manylinux_2_12_i686.manylinux2010_i686.manylinux_2_17_i686.manylinux2014_i686.whl", hash = "sha256:f60fdd125d85bf9c279ffb8e94c78c51b3b6a37711464e1f5f31078b45002421"}, + {file = "lxml-5.2.2-cp38-cp38-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:8a7e24cb69ee5f32e003f50e016d5fde438010c1022c96738b04fc2423e61706"}, + {file = "lxml-5.2.2-cp38-cp38-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:23cfafd56887eaed93d07bc4547abd5e09d837a002b791e9767765492a75883f"}, + {file = "lxml-5.2.2-cp38-cp38-manylinux_2_28_aarch64.whl", hash = "sha256:19b4e485cd07b7d83e3fe3b72132e7df70bfac22b14fe4bf7a23822c3a35bff5"}, + {file = "lxml-5.2.2-cp38-cp38-manylinux_2_28_x86_64.whl", hash = "sha256:7ce7ad8abebe737ad6143d9d3bf94b88b93365ea30a5b81f6877ec9c0dee0a48"}, + {file = "lxml-5.2.2-cp38-cp38-musllinux_1_1_aarch64.whl", hash = "sha256:e49b052b768bb74f58c7dda4e0bdf7b79d43a9204ca584ffe1fb48a6f3c84c66"}, + {file = "lxml-5.2.2-cp38-cp38-musllinux_1_1_x86_64.whl", hash = "sha256:d14a0d029a4e176795cef99c056d58067c06195e0c7e2dbb293bf95c08f772a3"}, + {file = "lxml-5.2.2-cp38-cp38-musllinux_1_2_aarch64.whl", hash = "sha256:be49ad33819d7dcc28a309b86d4ed98e1a65f3075c6acd3cd4fe32103235222b"}, + {file = "lxml-5.2.2-cp38-cp38-musllinux_1_2_x86_64.whl", hash = "sha256:a6d17e0370d2516d5bb9062c7b4cb731cff921fc875644c3d751ad857ba9c5b1"}, + {file = "lxml-5.2.2-cp38-cp38-win32.whl", hash = "sha256:5b8c041b6265e08eac8a724b74b655404070b636a8dd6d7a13c3adc07882ef30"}, + {file = "lxml-5.2.2-cp38-cp38-win_amd64.whl", hash = "sha256:f61efaf4bed1cc0860e567d2ecb2363974d414f7f1f124b1df368bbf183453a6"}, + {file = "lxml-5.2.2-cp39-cp39-macosx_10_9_universal2.whl", hash = "sha256:fb91819461b1b56d06fa4bcf86617fac795f6a99d12239fb0c68dbeba41a0a30"}, + {file = "lxml-5.2.2-cp39-cp39-macosx_10_9_x86_64.whl", hash = "sha256:d4ed0c7cbecde7194cd3228c044e86bf73e30a23505af852857c09c24e77ec5d"}, + {file = "lxml-5.2.2-cp39-cp39-manylinux_2_12_i686.manylinux2010_i686.manylinux_2_17_i686.manylinux2014_i686.whl", hash = "sha256:54401c77a63cc7d6dc4b4e173bb484f28a5607f3df71484709fe037c92d4f0ed"}, + {file = "lxml-5.2.2-cp39-cp39-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:625e3ef310e7fa3a761d48ca7ea1f9d8718a32b1542e727d584d82f4453d5eeb"}, + {file = "lxml-5.2.2-cp39-cp39-manylinux_2_17_ppc64le.manylinux2014_ppc64le.whl", hash = "sha256:519895c99c815a1a24a926d5b60627ce5ea48e9f639a5cd328bda0515ea0f10c"}, + {file = "lxml-5.2.2-cp39-cp39-manylinux_2_17_s390x.manylinux2014_s390x.whl", hash = "sha256:c7079d5eb1c1315a858bbf180000757db8ad904a89476653232db835c3114001"}, + {file = "lxml-5.2.2-cp39-cp39-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:343ab62e9ca78094f2306aefed67dcfad61c4683f87eee48ff2fd74902447726"}, + {file = "lxml-5.2.2-cp39-cp39-manylinux_2_28_aarch64.whl", hash = "sha256:cd9e78285da6c9ba2d5c769628f43ef66d96ac3085e59b10ad4f3707980710d3"}, + {file = "lxml-5.2.2-cp39-cp39-manylinux_2_28_ppc64le.whl", hash = "sha256:546cf886f6242dff9ec206331209db9c8e1643ae642dea5fdbecae2453cb50fd"}, + {file = "lxml-5.2.2-cp39-cp39-manylinux_2_28_s390x.whl", hash = "sha256:02f6a8eb6512fdc2fd4ca10a49c341c4e109aa6e9448cc4859af5b949622715a"}, + {file = "lxml-5.2.2-cp39-cp39-manylinux_2_28_x86_64.whl", hash = "sha256:339ee4a4704bc724757cd5dd9dc8cf4d00980f5d3e6e06d5847c1b594ace68ab"}, + {file = "lxml-5.2.2-cp39-cp39-musllinux_1_1_aarch64.whl", hash = "sha256:0a028b61a2e357ace98b1615fc03f76eb517cc028993964fe08ad514b1e8892d"}, + {file = "lxml-5.2.2-cp39-cp39-musllinux_1_1_ppc64le.whl", hash = "sha256:f90e552ecbad426eab352e7b2933091f2be77115bb16f09f78404861c8322981"}, + {file = "lxml-5.2.2-cp39-cp39-musllinux_1_1_s390x.whl", hash = "sha256:d83e2d94b69bf31ead2fa45f0acdef0757fa0458a129734f59f67f3d2eb7ef32"}, + {file = "lxml-5.2.2-cp39-cp39-musllinux_1_1_x86_64.whl", hash = "sha256:a02d3c48f9bb1e10c7788d92c0c7db6f2002d024ab6e74d6f45ae33e3d0288a3"}, + {file = "lxml-5.2.2-cp39-cp39-musllinux_1_2_aarch64.whl", hash = "sha256:6d68ce8e7b2075390e8ac1e1d3a99e8b6372c694bbe612632606d1d546794207"}, + {file = "lxml-5.2.2-cp39-cp39-musllinux_1_2_ppc64le.whl", hash = "sha256:453d037e09a5176d92ec0fd282e934ed26d806331a8b70ab431a81e2fbabf56d"}, + {file = "lxml-5.2.2-cp39-cp39-musllinux_1_2_s390x.whl", hash = "sha256:3b019d4ee84b683342af793b56bb35034bd749e4cbdd3d33f7d1107790f8c472"}, + {file = "lxml-5.2.2-cp39-cp39-musllinux_1_2_x86_64.whl", hash = "sha256:cb3942960f0beb9f46e2a71a3aca220d1ca32feb5a398656be934320804c0df9"}, + {file = "lxml-5.2.2-cp39-cp39-win32.whl", hash = "sha256:ac6540c9fff6e3813d29d0403ee7a81897f1d8ecc09a8ff84d2eea70ede1cdbf"}, + {file = "lxml-5.2.2-cp39-cp39-win_amd64.whl", hash = "sha256:610b5c77428a50269f38a534057444c249976433f40f53e3b47e68349cca1425"}, + {file = "lxml-5.2.2-pp310-pypy310_pp73-macosx_10_9_x86_64.whl", hash = "sha256:b537bd04d7ccd7c6350cdaaaad911f6312cbd61e6e6045542f781c7f8b2e99d2"}, + {file = "lxml-5.2.2-pp310-pypy310_pp73-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:4820c02195d6dfb7b8508ff276752f6b2ff8b64ae5d13ebe02e7667e035000b9"}, + {file = "lxml-5.2.2-pp310-pypy310_pp73-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:f2a09f6184f17a80897172863a655467da2b11151ec98ba8d7af89f17bf63dae"}, + {file = "lxml-5.2.2-pp310-pypy310_pp73-manylinux_2_28_aarch64.whl", hash = "sha256:76acba4c66c47d27c8365e7c10b3d8016a7da83d3191d053a58382311a8bf4e1"}, + {file = "lxml-5.2.2-pp310-pypy310_pp73-manylinux_2_28_x86_64.whl", hash = "sha256:b128092c927eaf485928cec0c28f6b8bead277e28acf56800e972aa2c2abd7a2"}, + {file = "lxml-5.2.2-pp310-pypy310_pp73-win_amd64.whl", hash = "sha256:ae791f6bd43305aade8c0e22f816b34f3b72b6c820477aab4d18473a37e8090b"}, + {file = "lxml-5.2.2-pp37-pypy37_pp73-macosx_10_9_x86_64.whl", hash = "sha256:a2f6a1bc2460e643785a2cde17293bd7a8f990884b822f7bca47bee0a82fc66b"}, + {file = "lxml-5.2.2-pp37-pypy37_pp73-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:8e8d351ff44c1638cb6e980623d517abd9f580d2e53bfcd18d8941c052a5a009"}, + {file = "lxml-5.2.2-pp37-pypy37_pp73-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:bec4bd9133420c5c52d562469c754f27c5c9e36ee06abc169612c959bd7dbb07"}, + {file = "lxml-5.2.2-pp37-pypy37_pp73-manylinux_2_28_aarch64.whl", hash = "sha256:55ce6b6d803890bd3cc89975fca9de1dff39729b43b73cb15ddd933b8bc20484"}, + {file = "lxml-5.2.2-pp37-pypy37_pp73-manylinux_2_28_x86_64.whl", hash = "sha256:8ab6a358d1286498d80fe67bd3d69fcbc7d1359b45b41e74c4a26964ca99c3f8"}, + {file = "lxml-5.2.2-pp37-pypy37_pp73-win_amd64.whl", hash = "sha256:06668e39e1f3c065349c51ac27ae430719d7806c026fec462e5693b08b95696b"}, + {file = "lxml-5.2.2-pp38-pypy38_pp73-macosx_10_9_x86_64.whl", hash = "sha256:9cd5323344d8ebb9fb5e96da5de5ad4ebab993bbf51674259dbe9d7a18049525"}, + {file = "lxml-5.2.2-pp38-pypy38_pp73-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:89feb82ca055af0fe797a2323ec9043b26bc371365847dbe83c7fd2e2f181c34"}, + {file = "lxml-5.2.2-pp38-pypy38_pp73-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:e481bba1e11ba585fb06db666bfc23dbe181dbafc7b25776156120bf12e0d5a6"}, + {file = "lxml-5.2.2-pp38-pypy38_pp73-manylinux_2_28_aarch64.whl", hash = "sha256:9d6c6ea6a11ca0ff9cd0390b885984ed31157c168565702959c25e2191674a14"}, + {file = "lxml-5.2.2-pp38-pypy38_pp73-manylinux_2_28_x86_64.whl", hash = "sha256:3d98de734abee23e61f6b8c2e08a88453ada7d6486dc7cdc82922a03968928db"}, + {file = "lxml-5.2.2-pp38-pypy38_pp73-win_amd64.whl", hash = "sha256:69ab77a1373f1e7563e0fb5a29a8440367dec051da6c7405333699d07444f511"}, + {file = "lxml-5.2.2-pp39-pypy39_pp73-macosx_10_9_x86_64.whl", hash = "sha256:34e17913c431f5ae01d8658dbf792fdc457073dcdfbb31dc0cc6ab256e664a8d"}, + {file = "lxml-5.2.2-pp39-pypy39_pp73-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:05f8757b03208c3f50097761be2dea0aba02e94f0dc7023ed73a7bb14ff11eb0"}, + {file = "lxml-5.2.2-pp39-pypy39_pp73-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:6a520b4f9974b0a0a6ed73c2154de57cdfd0c8800f4f15ab2b73238ffed0b36e"}, + {file = "lxml-5.2.2-pp39-pypy39_pp73-manylinux_2_28_aarch64.whl", hash = "sha256:5e097646944b66207023bc3c634827de858aebc226d5d4d6d16f0b77566ea182"}, + {file = "lxml-5.2.2-pp39-pypy39_pp73-manylinux_2_28_x86_64.whl", hash = "sha256:b5e4ef22ff25bfd4ede5f8fb30f7b24446345f3e79d9b7455aef2836437bc38a"}, + {file = "lxml-5.2.2-pp39-pypy39_pp73-win_amd64.whl", hash = "sha256:ff69a9a0b4b17d78170c73abe2ab12084bdf1691550c5629ad1fe7849433f324"}, + {file = "lxml-5.2.2.tar.gz", hash = "sha256:bb2dc4898180bea79863d5487e5f9c7c34297414bad54bcd0f0852aee9cfdb87"}, ] [package.extras] @@ -1366,13 +1364,13 @@ source = ["Cython (>=3.0.10)"] [[package]] name = "mako" -version = "1.3.3" +version = "1.3.5" description = "A super-fast templating language that borrows the best ideas from the existing templating languages." optional = false python-versions = ">=3.8" files = [ - {file = "Mako-1.3.3-py3-none-any.whl", hash = "sha256:5324b88089a8978bf76d1629774fcc2f1c07b82acdf00f4c5dd8ceadfffc4b40"}, - {file = "Mako-1.3.3.tar.gz", hash = "sha256:e16c01d9ab9c11f7290eef1cfefc093fb5a45ee4a3da09e2fec2e4d1bae54e73"}, + {file = "Mako-1.3.5-py3-none-any.whl", hash = "sha256:260f1dbc3a519453a9c856dedfe4beb4e50bd5a26d96386cb6c80856556bb91a"}, + {file = "Mako-1.3.5.tar.gz", hash = "sha256:48dbc20568c1d276a2698b36d968fa76161bf127194907ea6fc594fa81f943bc"}, ] [package.dependencies] @@ -1478,13 +1476,13 @@ files = [ [[package]] name = "marshmallow" -version = "3.21.1" +version = "3.21.2" description = "A lightweight library for converting complex datatypes to and from native Python datatypes." optional = false python-versions = ">=3.8" files = [ - {file = "marshmallow-3.21.1-py3-none-any.whl", hash = "sha256:f085493f79efb0644f270a9bf2892843142d80d7174bbbd2f3713f2a589dc633"}, - {file = "marshmallow-3.21.1.tar.gz", hash = "sha256:4e65e9e0d80fc9e609574b9983cf32579f305c718afb30d7233ab818571768c3"}, + {file = "marshmallow-3.21.2-py3-none-any.whl", hash = "sha256:70b54a6282f4704d12c0a41599682c5c5450e843b9ec406308653b47c59648a1"}, + {file = "marshmallow-3.21.2.tar.gz", hash = "sha256:82408deadd8b33d56338d2182d455db632c6313aa2af61916672146bb32edc56"}, ] [package.dependencies] @@ -1492,7 +1490,7 @@ packaging = ">=17.0" [package.extras] dev = ["marshmallow[tests]", "pre-commit (>=3.5,<4.0)", "tox"] -docs = ["alabaster (==0.7.16)", "autodocsumm (==0.2.12)", "sphinx (==7.2.6)", "sphinx-issues (==4.0.0)", "sphinx-version-warning (==1.1.2)"] +docs = ["alabaster (==0.7.16)", "autodocsumm (==0.2.12)", "sphinx (==7.3.7)", "sphinx-issues (==4.1.0)", "sphinx-version-warning (==1.1.2)"] tests = ["pytest", "pytz", "simplejson"] [[package]] @@ -1809,6 +1807,7 @@ files = [ numpy = [ {version = ">=1.22.4,<2", markers = "python_version < \"3.11\""}, {version = ">=1.23.2,<2", markers = "python_version == \"3.11\""}, + {version = ">=1.26.0,<2", markers = "python_version >= \"3.12\""}, ] python-dateutil = ">=2.8.2" pytz = ">=2020.1" @@ -1943,18 +1942,19 @@ xmp = ["defusedxml"] [[package]] name = "platformdirs" -version = "4.2.0" -description = "A small Python package for determining appropriate platform-specific dirs, e.g. a \"user data dir\"." +version = "4.2.2" +description = "A small Python package for determining appropriate platform-specific dirs, e.g. a `user data dir`." optional = false python-versions = ">=3.8" files = [ - {file = "platformdirs-4.2.0-py3-none-any.whl", hash = "sha256:0614df2a2f37e1a662acbd8e2b25b92ccf8632929bc6d43467e17fe89c75e068"}, - {file = "platformdirs-4.2.0.tar.gz", hash = "sha256:ef0cc731df711022c174543cb70a9b5bd22e5a9337c8624ef2c2ceb8ddad8768"}, + {file = "platformdirs-4.2.2-py3-none-any.whl", hash = "sha256:2d7a1657e36a80ea911db832a8a6ece5ee53d8de21edd5cc5879af6530b1bfee"}, + {file = "platformdirs-4.2.2.tar.gz", hash = "sha256:38b7b51f512eed9e84a22788b4bce1de17c0adb134d6becb09836e37d8654cd3"}, ] [package.extras] docs = ["furo (>=2023.9.10)", "proselint (>=0.13)", "sphinx (>=7.2.6)", "sphinx-autodoc-typehints (>=1.25.2)"] test = ["appdirs (==1.4.4)", "covdefaults (>=2.3)", "pytest (>=7.4.3)", "pytest-cov (>=4.1)", "pytest-mock (>=3.12)"] +type = ["mypy (>=1.8)"] [[package]] name = "pyasn1" @@ -1980,18 +1980,18 @@ files = [ [[package]] name = "pydantic" -version = "2.7.0" +version = "2.7.1" description = "Data validation using Python type hints" optional = false python-versions = ">=3.8" files = [ - {file = "pydantic-2.7.0-py3-none-any.whl", hash = "sha256:9dee74a271705f14f9a1567671d144a851c675b072736f0a7b2608fd9e495352"}, - {file = "pydantic-2.7.0.tar.gz", hash = "sha256:b5ecdd42262ca2462e2624793551e80911a1e989f462910bb81aef974b4bb383"}, + {file = "pydantic-2.7.1-py3-none-any.whl", hash = "sha256:e029badca45266732a9a79898a15ae2e8b14840b1eabbb25844be28f0b33f3d5"}, + {file = "pydantic-2.7.1.tar.gz", hash = "sha256:e9dbb5eada8abe4d9ae5f46b9939aead650cd2b68f249bb3a8139dbe125803cc"}, ] [package.dependencies] annotated-types = ">=0.4.0" -pydantic-core = "2.18.1" +pydantic-core = "2.18.2" typing-extensions = ">=4.6.1" [package.extras] @@ -1999,90 +1999,90 @@ email = ["email-validator (>=2.0.0)"] [[package]] name = "pydantic-core" -version = "2.18.1" +version = "2.18.2" description = "Core functionality for Pydantic validation and serialization" optional = false python-versions = ">=3.8" files = [ - {file = "pydantic_core-2.18.1-cp310-cp310-macosx_10_12_x86_64.whl", hash = "sha256:ee9cf33e7fe14243f5ca6977658eb7d1042caaa66847daacbd2117adb258b226"}, - {file = "pydantic_core-2.18.1-cp310-cp310-macosx_11_0_arm64.whl", hash = "sha256:6b7bbb97d82659ac8b37450c60ff2e9f97e4eb0f8a8a3645a5568b9334b08b50"}, - {file = "pydantic_core-2.18.1-cp310-cp310-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:df4249b579e75094f7e9bb4bd28231acf55e308bf686b952f43100a5a0be394c"}, - {file = "pydantic_core-2.18.1-cp310-cp310-manylinux_2_17_armv7l.manylinux2014_armv7l.whl", hash = "sha256:d0491006a6ad20507aec2be72e7831a42efc93193d2402018007ff827dc62926"}, - {file = "pydantic_core-2.18.1-cp310-cp310-manylinux_2_17_ppc64le.manylinux2014_ppc64le.whl", hash = "sha256:2ae80f72bb7a3e397ab37b53a2b49c62cc5496412e71bc4f1277620a7ce3f52b"}, - {file = "pydantic_core-2.18.1-cp310-cp310-manylinux_2_17_s390x.manylinux2014_s390x.whl", hash = "sha256:58aca931bef83217fca7a390e0486ae327c4af9c3e941adb75f8772f8eeb03a1"}, - {file = "pydantic_core-2.18.1-cp310-cp310-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:1be91ad664fc9245404a789d60cba1e91c26b1454ba136d2a1bf0c2ac0c0505a"}, - {file = "pydantic_core-2.18.1-cp310-cp310-manylinux_2_5_i686.manylinux1_i686.whl", hash = "sha256:667880321e916a8920ef49f5d50e7983792cf59f3b6079f3c9dac2b88a311d17"}, - {file = "pydantic_core-2.18.1-cp310-cp310-musllinux_1_1_aarch64.whl", hash = "sha256:f7054fdc556f5421f01e39cbb767d5ec5c1139ea98c3e5b350e02e62201740c7"}, - {file = "pydantic_core-2.18.1-cp310-cp310-musllinux_1_1_x86_64.whl", hash = "sha256:030e4f9516f9947f38179249778709a460a3adb516bf39b5eb9066fcfe43d0e6"}, - {file = "pydantic_core-2.18.1-cp310-none-win32.whl", hash = "sha256:2e91711e36e229978d92642bfc3546333a9127ecebb3f2761372e096395fc649"}, - {file = "pydantic_core-2.18.1-cp310-none-win_amd64.whl", hash = "sha256:9a29726f91c6cb390b3c2338f0df5cd3e216ad7a938762d11c994bb37552edb0"}, - {file = "pydantic_core-2.18.1-cp311-cp311-macosx_10_12_x86_64.whl", hash = "sha256:9ece8a49696669d483d206b4474c367852c44815fca23ac4e48b72b339807f80"}, - {file = "pydantic_core-2.18.1-cp311-cp311-macosx_11_0_arm64.whl", hash = "sha256:7a5d83efc109ceddb99abd2c1316298ced2adb4570410defe766851a804fcd5b"}, - {file = "pydantic_core-2.18.1-cp311-cp311-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:5f7973c381283783cd1043a8c8f61ea5ce7a3a58b0369f0ee0ee975eaf2f2a1b"}, - {file = "pydantic_core-2.18.1-cp311-cp311-manylinux_2_17_armv7l.manylinux2014_armv7l.whl", hash = "sha256:54c7375c62190a7845091f521add19b0f026bcf6ae674bdb89f296972272e86d"}, - {file = "pydantic_core-2.18.1-cp311-cp311-manylinux_2_17_ppc64le.manylinux2014_ppc64le.whl", hash = "sha256:dd63cec4e26e790b70544ae5cc48d11b515b09e05fdd5eff12e3195f54b8a586"}, - {file = "pydantic_core-2.18.1-cp311-cp311-manylinux_2_17_s390x.manylinux2014_s390x.whl", hash = "sha256:561cf62c8a3498406495cfc49eee086ed2bb186d08bcc65812b75fda42c38294"}, - {file = "pydantic_core-2.18.1-cp311-cp311-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:68717c38a68e37af87c4da20e08f3e27d7e4212e99e96c3d875fbf3f4812abfc"}, - {file = "pydantic_core-2.18.1-cp311-cp311-manylinux_2_5_i686.manylinux1_i686.whl", hash = "sha256:2d5728e93d28a3c63ee513d9ffbac9c5989de8c76e049dbcb5bfe4b923a9739d"}, - {file = "pydantic_core-2.18.1-cp311-cp311-musllinux_1_1_aarch64.whl", hash = "sha256:f0f17814c505f07806e22b28856c59ac80cee7dd0fbb152aed273e116378f519"}, - {file = "pydantic_core-2.18.1-cp311-cp311-musllinux_1_1_x86_64.whl", hash = "sha256:d816f44a51ba5175394bc6c7879ca0bd2be560b2c9e9f3411ef3a4cbe644c2e9"}, - {file = "pydantic_core-2.18.1-cp311-none-win32.whl", hash = "sha256:09f03dfc0ef8c22622eaa8608caa4a1e189cfb83ce847045eca34f690895eccb"}, - {file = "pydantic_core-2.18.1-cp311-none-win_amd64.whl", hash = "sha256:27f1009dc292f3b7ca77feb3571c537276b9aad5dd4efb471ac88a8bd09024e9"}, - {file = "pydantic_core-2.18.1-cp311-none-win_arm64.whl", hash = "sha256:48dd883db92e92519201f2b01cafa881e5f7125666141a49ffba8b9facc072b0"}, - {file = "pydantic_core-2.18.1-cp312-cp312-macosx_10_12_x86_64.whl", hash = "sha256:b6b0e4912030c6f28bcb72b9ebe4989d6dc2eebcd2a9cdc35fefc38052dd4fe8"}, - {file = "pydantic_core-2.18.1-cp312-cp312-macosx_11_0_arm64.whl", hash = "sha256:f3202a429fe825b699c57892d4371c74cc3456d8d71b7f35d6028c96dfecad31"}, - {file = "pydantic_core-2.18.1-cp312-cp312-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:a3982b0a32d0a88b3907e4b0dc36809fda477f0757c59a505d4e9b455f384b8b"}, - {file = "pydantic_core-2.18.1-cp312-cp312-manylinux_2_17_armv7l.manylinux2014_armv7l.whl", hash = "sha256:25595ac311f20e5324d1941909b0d12933f1fd2171075fcff763e90f43e92a0d"}, - {file = "pydantic_core-2.18.1-cp312-cp312-manylinux_2_17_ppc64le.manylinux2014_ppc64le.whl", hash = "sha256:14fe73881cf8e4cbdaded8ca0aa671635b597e42447fec7060d0868b52d074e6"}, - {file = "pydantic_core-2.18.1-cp312-cp312-manylinux_2_17_s390x.manylinux2014_s390x.whl", hash = "sha256:ca976884ce34070799e4dfc6fbd68cb1d181db1eefe4a3a94798ddfb34b8867f"}, - {file = "pydantic_core-2.18.1-cp312-cp312-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:684d840d2c9ec5de9cb397fcb3f36d5ebb6fa0d94734f9886032dd796c1ead06"}, - {file = "pydantic_core-2.18.1-cp312-cp312-manylinux_2_5_i686.manylinux1_i686.whl", hash = "sha256:54764c083bbe0264f0f746cefcded6cb08fbbaaf1ad1d78fb8a4c30cff999a90"}, - {file = "pydantic_core-2.18.1-cp312-cp312-musllinux_1_1_aarch64.whl", hash = "sha256:201713f2f462e5c015b343e86e68bd8a530a4f76609b33d8f0ec65d2b921712a"}, - {file = "pydantic_core-2.18.1-cp312-cp312-musllinux_1_1_x86_64.whl", hash = "sha256:fd1a9edb9dd9d79fbeac1ea1f9a8dd527a6113b18d2e9bcc0d541d308dae639b"}, - {file = "pydantic_core-2.18.1-cp312-none-win32.whl", hash = "sha256:d5e6b7155b8197b329dc787356cfd2684c9d6a6b1a197f6bbf45f5555a98d411"}, - {file = "pydantic_core-2.18.1-cp312-none-win_amd64.whl", hash = "sha256:9376d83d686ec62e8b19c0ac3bf8d28d8a5981d0df290196fb6ef24d8a26f0d6"}, - {file = "pydantic_core-2.18.1-cp312-none-win_arm64.whl", hash = "sha256:c562b49c96906b4029b5685075fe1ebd3b5cc2601dfa0b9e16c2c09d6cbce048"}, - {file = "pydantic_core-2.18.1-cp38-cp38-macosx_10_12_x86_64.whl", hash = "sha256:3e352f0191d99fe617371096845070dee295444979efb8f27ad941227de6ad09"}, - {file = "pydantic_core-2.18.1-cp38-cp38-macosx_11_0_arm64.whl", hash = "sha256:c0295d52b012cbe0d3059b1dba99159c3be55e632aae1999ab74ae2bd86a33d7"}, - {file = "pydantic_core-2.18.1-cp38-cp38-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:56823a92075780582d1ffd4489a2e61d56fd3ebb4b40b713d63f96dd92d28144"}, - {file = "pydantic_core-2.18.1-cp38-cp38-manylinux_2_17_armv7l.manylinux2014_armv7l.whl", hash = "sha256:dd3f79e17b56741b5177bcc36307750d50ea0698df6aa82f69c7db32d968c1c2"}, - {file = "pydantic_core-2.18.1-cp38-cp38-manylinux_2_17_ppc64le.manylinux2014_ppc64le.whl", hash = "sha256:38a5024de321d672a132b1834a66eeb7931959c59964b777e8f32dbe9523f6b1"}, - {file = "pydantic_core-2.18.1-cp38-cp38-manylinux_2_17_s390x.manylinux2014_s390x.whl", hash = "sha256:d2ce426ee691319d4767748c8e0895cfc56593d725594e415f274059bcf3cb76"}, - {file = "pydantic_core-2.18.1-cp38-cp38-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:2adaeea59849ec0939af5c5d476935f2bab4b7f0335b0110f0f069a41024278e"}, - {file = "pydantic_core-2.18.1-cp38-cp38-manylinux_2_5_i686.manylinux1_i686.whl", hash = "sha256:9b6431559676a1079eac0f52d6d0721fb8e3c5ba43c37bc537c8c83724031feb"}, - {file = "pydantic_core-2.18.1-cp38-cp38-musllinux_1_1_aarch64.whl", hash = "sha256:85233abb44bc18d16e72dc05bf13848a36f363f83757541f1a97db2f8d58cfd9"}, - {file = "pydantic_core-2.18.1-cp38-cp38-musllinux_1_1_x86_64.whl", hash = "sha256:641a018af4fe48be57a2b3d7a1f0f5dbca07c1d00951d3d7463f0ac9dac66622"}, - {file = "pydantic_core-2.18.1-cp38-none-win32.whl", hash = "sha256:63d7523cd95d2fde0d28dc42968ac731b5bb1e516cc56b93a50ab293f4daeaad"}, - {file = "pydantic_core-2.18.1-cp38-none-win_amd64.whl", hash = "sha256:907a4d7720abfcb1c81619863efd47c8a85d26a257a2dbebdb87c3b847df0278"}, - {file = "pydantic_core-2.18.1-cp39-cp39-macosx_10_12_x86_64.whl", hash = "sha256:aad17e462f42ddbef5984d70c40bfc4146c322a2da79715932cd8976317054de"}, - {file = "pydantic_core-2.18.1-cp39-cp39-macosx_11_0_arm64.whl", hash = "sha256:94b9769ba435b598b547c762184bcfc4783d0d4c7771b04a3b45775c3589ca44"}, - {file = "pydantic_core-2.18.1-cp39-cp39-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:80e0e57cc704a52fb1b48f16d5b2c8818da087dbee6f98d9bf19546930dc64b5"}, - {file = "pydantic_core-2.18.1-cp39-cp39-manylinux_2_17_armv7l.manylinux2014_armv7l.whl", hash = "sha256:76b86e24039c35280ceee6dce7e62945eb93a5175d43689ba98360ab31eebc4a"}, - {file = "pydantic_core-2.18.1-cp39-cp39-manylinux_2_17_ppc64le.manylinux2014_ppc64le.whl", hash = "sha256:12a05db5013ec0ca4a32cc6433f53faa2a014ec364031408540ba858c2172bb0"}, - {file = "pydantic_core-2.18.1-cp39-cp39-manylinux_2_17_s390x.manylinux2014_s390x.whl", hash = "sha256:250ae39445cb5475e483a36b1061af1bc233de3e9ad0f4f76a71b66231b07f88"}, - {file = "pydantic_core-2.18.1-cp39-cp39-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:a32204489259786a923e02990249c65b0f17235073149d0033efcebe80095570"}, - {file = "pydantic_core-2.18.1-cp39-cp39-manylinux_2_5_i686.manylinux1_i686.whl", hash = "sha256:6395a4435fa26519fd96fdccb77e9d00ddae9dd6c742309bd0b5610609ad7fb2"}, - {file = "pydantic_core-2.18.1-cp39-cp39-musllinux_1_1_aarch64.whl", hash = "sha256:2533ad2883f001efa72f3d0e733fb846710c3af6dcdd544fe5bf14fa5fe2d7db"}, - {file = "pydantic_core-2.18.1-cp39-cp39-musllinux_1_1_x86_64.whl", hash = "sha256:b560b72ed4816aee52783c66854d96157fd8175631f01ef58e894cc57c84f0f6"}, - {file = "pydantic_core-2.18.1-cp39-none-win32.whl", hash = "sha256:582cf2cead97c9e382a7f4d3b744cf0ef1a6e815e44d3aa81af3ad98762f5a9b"}, - {file = "pydantic_core-2.18.1-cp39-none-win_amd64.whl", hash = "sha256:ca71d501629d1fa50ea7fa3b08ba884fe10cefc559f5c6c8dfe9036c16e8ae89"}, - {file = "pydantic_core-2.18.1-pp310-pypy310_pp73-macosx_10_12_x86_64.whl", hash = "sha256:e178e5b66a06ec5bf51668ec0d4ac8cfb2bdcb553b2c207d58148340efd00143"}, - {file = "pydantic_core-2.18.1-pp310-pypy310_pp73-macosx_11_0_arm64.whl", hash = "sha256:72722ce529a76a4637a60be18bd789d8fb871e84472490ed7ddff62d5fed620d"}, - {file = "pydantic_core-2.18.1-pp310-pypy310_pp73-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:2fe0c1ce5b129455e43f941f7a46f61f3d3861e571f2905d55cdbb8b5c6f5e2c"}, - {file = "pydantic_core-2.18.1-pp310-pypy310_pp73-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:d4284c621f06a72ce2cb55f74ea3150113d926a6eb78ab38340c08f770eb9b4d"}, - {file = "pydantic_core-2.18.1-pp310-pypy310_pp73-manylinux_2_5_i686.manylinux1_i686.whl", hash = "sha256:1a0c3e718f4e064efde68092d9d974e39572c14e56726ecfaeebbe6544521f47"}, - {file = "pydantic_core-2.18.1-pp310-pypy310_pp73-musllinux_1_1_aarch64.whl", hash = "sha256:2027493cc44c23b598cfaf200936110433d9caa84e2c6cf487a83999638a96ac"}, - {file = "pydantic_core-2.18.1-pp310-pypy310_pp73-musllinux_1_1_x86_64.whl", hash = "sha256:76909849d1a6bffa5a07742294f3fa1d357dc917cb1fe7b470afbc3a7579d539"}, - {file = "pydantic_core-2.18.1-pp310-pypy310_pp73-win_amd64.whl", hash = "sha256:ee7ccc7fb7e921d767f853b47814c3048c7de536663e82fbc37f5eb0d532224b"}, - {file = "pydantic_core-2.18.1-pp39-pypy39_pp73-macosx_10_12_x86_64.whl", hash = "sha256:ee2794111c188548a4547eccc73a6a8527fe2af6cf25e1a4ebda2fd01cdd2e60"}, - {file = "pydantic_core-2.18.1-pp39-pypy39_pp73-macosx_11_0_arm64.whl", hash = "sha256:a139fe9f298dc097349fb4f28c8b81cc7a202dbfba66af0e14be5cfca4ef7ce5"}, - {file = "pydantic_core-2.18.1-pp39-pypy39_pp73-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:d074b07a10c391fc5bbdcb37b2f16f20fcd9e51e10d01652ab298c0d07908ee2"}, - {file = "pydantic_core-2.18.1-pp39-pypy39_pp73-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:c69567ddbac186e8c0aadc1f324a60a564cfe25e43ef2ce81bcc4b8c3abffbae"}, - {file = "pydantic_core-2.18.1-pp39-pypy39_pp73-manylinux_2_5_i686.manylinux1_i686.whl", hash = "sha256:baf1c7b78cddb5af00971ad5294a4583188bda1495b13760d9f03c9483bb6203"}, - {file = "pydantic_core-2.18.1-pp39-pypy39_pp73-musllinux_1_1_aarch64.whl", hash = "sha256:2684a94fdfd1b146ff10689c6e4e815f6a01141781c493b97342cdc5b06f4d5d"}, - {file = "pydantic_core-2.18.1-pp39-pypy39_pp73-musllinux_1_1_x86_64.whl", hash = "sha256:73c1bc8a86a5c9e8721a088df234265317692d0b5cd9e86e975ce3bc3db62a59"}, - {file = "pydantic_core-2.18.1-pp39-pypy39_pp73-win_amd64.whl", hash = "sha256:e60defc3c15defb70bb38dd605ff7e0fae5f6c9c7cbfe0ad7868582cb7e844a6"}, - {file = "pydantic_core-2.18.1.tar.gz", hash = "sha256:de9d3e8717560eb05e28739d1b35e4eac2e458553a52a301e51352a7ffc86a35"}, + {file = "pydantic_core-2.18.2-cp310-cp310-macosx_10_12_x86_64.whl", hash = "sha256:9e08e867b306f525802df7cd16c44ff5ebbe747ff0ca6cf3fde7f36c05a59a81"}, + {file = "pydantic_core-2.18.2-cp310-cp310-macosx_11_0_arm64.whl", hash = "sha256:f0a21cbaa69900cbe1a2e7cad2aa74ac3cf21b10c3efb0fa0b80305274c0e8a2"}, + {file = "pydantic_core-2.18.2-cp310-cp310-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:0680b1f1f11fda801397de52c36ce38ef1c1dc841a0927a94f226dea29c3ae3d"}, + {file = "pydantic_core-2.18.2-cp310-cp310-manylinux_2_17_armv7l.manylinux2014_armv7l.whl", hash = "sha256:95b9d5e72481d3780ba3442eac863eae92ae43a5f3adb5b4d0a1de89d42bb250"}, + {file = "pydantic_core-2.18.2-cp310-cp310-manylinux_2_17_ppc64le.manylinux2014_ppc64le.whl", hash = "sha256:c4fcf5cd9c4b655ad666ca332b9a081112cd7a58a8b5a6ca7a3104bc950f2038"}, + {file = "pydantic_core-2.18.2-cp310-cp310-manylinux_2_17_s390x.manylinux2014_s390x.whl", hash = "sha256:9b5155ff768083cb1d62f3e143b49a8a3432e6789a3abee8acd005c3c7af1c74"}, + {file = "pydantic_core-2.18.2-cp310-cp310-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:553ef617b6836fc7e4df130bb851e32fe357ce36336d897fd6646d6058d980af"}, + {file = "pydantic_core-2.18.2-cp310-cp310-manylinux_2_5_i686.manylinux1_i686.whl", hash = "sha256:b89ed9eb7d616ef5714e5590e6cf7f23b02d0d539767d33561e3675d6f9e3857"}, + {file = "pydantic_core-2.18.2-cp310-cp310-musllinux_1_1_aarch64.whl", hash = "sha256:75f7e9488238e920ab6204399ded280dc4c307d034f3924cd7f90a38b1829563"}, + {file = "pydantic_core-2.18.2-cp310-cp310-musllinux_1_1_x86_64.whl", hash = "sha256:ef26c9e94a8c04a1b2924149a9cb081836913818e55681722d7f29af88fe7b38"}, + {file = "pydantic_core-2.18.2-cp310-none-win32.whl", hash = "sha256:182245ff6b0039e82b6bb585ed55a64d7c81c560715d1bad0cbad6dfa07b4027"}, + {file = "pydantic_core-2.18.2-cp310-none-win_amd64.whl", hash = "sha256:e23ec367a948b6d812301afc1b13f8094ab7b2c280af66ef450efc357d2ae543"}, + {file = "pydantic_core-2.18.2-cp311-cp311-macosx_10_12_x86_64.whl", hash = "sha256:219da3f096d50a157f33645a1cf31c0ad1fe829a92181dd1311022f986e5fbe3"}, + {file = "pydantic_core-2.18.2-cp311-cp311-macosx_11_0_arm64.whl", hash = "sha256:cc1cfd88a64e012b74e94cd00bbe0f9c6df57049c97f02bb07d39e9c852e19a4"}, + {file = "pydantic_core-2.18.2-cp311-cp311-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:05b7133a6e6aeb8df37d6f413f7705a37ab4031597f64ab56384c94d98fa0e90"}, + {file = "pydantic_core-2.18.2-cp311-cp311-manylinux_2_17_armv7l.manylinux2014_armv7l.whl", hash = "sha256:224c421235f6102e8737032483f43c1a8cfb1d2f45740c44166219599358c2cd"}, + {file = "pydantic_core-2.18.2-cp311-cp311-manylinux_2_17_ppc64le.manylinux2014_ppc64le.whl", hash = "sha256:b14d82cdb934e99dda6d9d60dc84a24379820176cc4a0d123f88df319ae9c150"}, + {file = "pydantic_core-2.18.2-cp311-cp311-manylinux_2_17_s390x.manylinux2014_s390x.whl", hash = "sha256:2728b01246a3bba6de144f9e3115b532ee44bd6cf39795194fb75491824a1413"}, + {file = "pydantic_core-2.18.2-cp311-cp311-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:470b94480bb5ee929f5acba6995251ada5e059a5ef3e0dfc63cca287283ebfa6"}, + {file = "pydantic_core-2.18.2-cp311-cp311-manylinux_2_5_i686.manylinux1_i686.whl", hash = "sha256:997abc4df705d1295a42f95b4eec4950a37ad8ae46d913caeee117b6b198811c"}, + {file = "pydantic_core-2.18.2-cp311-cp311-musllinux_1_1_aarch64.whl", hash = "sha256:75250dbc5290e3f1a0f4618db35e51a165186f9034eff158f3d490b3fed9f8a0"}, + {file = "pydantic_core-2.18.2-cp311-cp311-musllinux_1_1_x86_64.whl", hash = "sha256:4456f2dca97c425231d7315737d45239b2b51a50dc2b6f0c2bb181fce6207664"}, + {file = "pydantic_core-2.18.2-cp311-none-win32.whl", hash = "sha256:269322dcc3d8bdb69f054681edff86276b2ff972447863cf34c8b860f5188e2e"}, + {file = "pydantic_core-2.18.2-cp311-none-win_amd64.whl", hash = "sha256:800d60565aec896f25bc3cfa56d2277d52d5182af08162f7954f938c06dc4ee3"}, + {file = "pydantic_core-2.18.2-cp311-none-win_arm64.whl", hash = "sha256:1404c69d6a676245199767ba4f633cce5f4ad4181f9d0ccb0577e1f66cf4c46d"}, + {file = "pydantic_core-2.18.2-cp312-cp312-macosx_10_12_x86_64.whl", hash = "sha256:fb2bd7be70c0fe4dfd32c951bc813d9fe6ebcbfdd15a07527796c8204bd36242"}, + {file = "pydantic_core-2.18.2-cp312-cp312-macosx_11_0_arm64.whl", hash = "sha256:6132dd3bd52838acddca05a72aafb6eab6536aa145e923bb50f45e78b7251043"}, + {file = "pydantic_core-2.18.2-cp312-cp312-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:d7d904828195733c183d20a54230c0df0eb46ec746ea1a666730787353e87182"}, + {file = "pydantic_core-2.18.2-cp312-cp312-manylinux_2_17_armv7l.manylinux2014_armv7l.whl", hash = "sha256:c9bd70772c720142be1020eac55f8143a34ec9f82d75a8e7a07852023e46617f"}, + {file = "pydantic_core-2.18.2-cp312-cp312-manylinux_2_17_ppc64le.manylinux2014_ppc64le.whl", hash = "sha256:2b8ed04b3582771764538f7ee7001b02e1170223cf9b75dff0bc698fadb00cf3"}, + {file = "pydantic_core-2.18.2-cp312-cp312-manylinux_2_17_s390x.manylinux2014_s390x.whl", hash = "sha256:e6dac87ddb34aaec85f873d737e9d06a3555a1cc1a8e0c44b7f8d5daeb89d86f"}, + {file = "pydantic_core-2.18.2-cp312-cp312-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:7ca4ae5a27ad7a4ee5170aebce1574b375de390bc01284f87b18d43a3984df72"}, + {file = "pydantic_core-2.18.2-cp312-cp312-manylinux_2_5_i686.manylinux1_i686.whl", hash = "sha256:886eec03591b7cf058467a70a87733b35f44707bd86cf64a615584fd72488b7c"}, + {file = "pydantic_core-2.18.2-cp312-cp312-musllinux_1_1_aarch64.whl", hash = "sha256:ca7b0c1f1c983e064caa85f3792dd2fe3526b3505378874afa84baf662e12241"}, + {file = "pydantic_core-2.18.2-cp312-cp312-musllinux_1_1_x86_64.whl", hash = "sha256:4b4356d3538c3649337df4074e81b85f0616b79731fe22dd11b99499b2ebbdf3"}, + {file = "pydantic_core-2.18.2-cp312-none-win32.whl", hash = "sha256:8b172601454f2d7701121bbec3425dd71efcb787a027edf49724c9cefc14c038"}, + {file = "pydantic_core-2.18.2-cp312-none-win_amd64.whl", hash = "sha256:b1bd7e47b1558ea872bd16c8502c414f9e90dcf12f1395129d7bb42a09a95438"}, + {file = "pydantic_core-2.18.2-cp312-none-win_arm64.whl", hash = "sha256:98758d627ff397e752bc339272c14c98199c613f922d4a384ddc07526c86a2ec"}, + {file = "pydantic_core-2.18.2-cp38-cp38-macosx_10_12_x86_64.whl", hash = "sha256:9fdad8e35f278b2c3eb77cbdc5c0a49dada440657bf738d6905ce106dc1de439"}, + {file = "pydantic_core-2.18.2-cp38-cp38-macosx_11_0_arm64.whl", hash = "sha256:1d90c3265ae107f91a4f279f4d6f6f1d4907ac76c6868b27dc7fb33688cfb347"}, + {file = "pydantic_core-2.18.2-cp38-cp38-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:390193c770399861d8df9670fb0d1874f330c79caaca4642332df7c682bf6b91"}, + {file = "pydantic_core-2.18.2-cp38-cp38-manylinux_2_17_armv7l.manylinux2014_armv7l.whl", hash = "sha256:82d5d4d78e4448683cb467897fe24e2b74bb7b973a541ea1dcfec1d3cbce39fb"}, + {file = "pydantic_core-2.18.2-cp38-cp38-manylinux_2_17_ppc64le.manylinux2014_ppc64le.whl", hash = "sha256:4774f3184d2ef3e14e8693194f661dea5a4d6ca4e3dc8e39786d33a94865cefd"}, + {file = "pydantic_core-2.18.2-cp38-cp38-manylinux_2_17_s390x.manylinux2014_s390x.whl", hash = "sha256:d4d938ec0adf5167cb335acb25a4ee69a8107e4984f8fbd2e897021d9e4ca21b"}, + {file = "pydantic_core-2.18.2-cp38-cp38-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:e0e8b1be28239fc64a88a8189d1df7fad8be8c1ae47fcc33e43d4be15f99cc70"}, + {file = "pydantic_core-2.18.2-cp38-cp38-manylinux_2_5_i686.manylinux1_i686.whl", hash = "sha256:868649da93e5a3d5eacc2b5b3b9235c98ccdbfd443832f31e075f54419e1b96b"}, + {file = "pydantic_core-2.18.2-cp38-cp38-musllinux_1_1_aarch64.whl", hash = "sha256:78363590ef93d5d226ba21a90a03ea89a20738ee5b7da83d771d283fd8a56761"}, + {file = "pydantic_core-2.18.2-cp38-cp38-musllinux_1_1_x86_64.whl", hash = "sha256:852e966fbd035a6468fc0a3496589b45e2208ec7ca95c26470a54daed82a0788"}, + {file = "pydantic_core-2.18.2-cp38-none-win32.whl", hash = "sha256:6a46e22a707e7ad4484ac9ee9f290f9d501df45954184e23fc29408dfad61350"}, + {file = "pydantic_core-2.18.2-cp38-none-win_amd64.whl", hash = "sha256:d91cb5ea8b11607cc757675051f61b3d93f15eca3cefb3e6c704a5d6e8440f4e"}, + {file = "pydantic_core-2.18.2-cp39-cp39-macosx_10_12_x86_64.whl", hash = "sha256:ae0a8a797a5e56c053610fa7be147993fe50960fa43609ff2a9552b0e07013e8"}, + {file = "pydantic_core-2.18.2-cp39-cp39-macosx_11_0_arm64.whl", hash = "sha256:042473b6280246b1dbf530559246f6842b56119c2926d1e52b631bdc46075f2a"}, + {file = "pydantic_core-2.18.2-cp39-cp39-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:1a388a77e629b9ec814c1b1e6b3b595fe521d2cdc625fcca26fbc2d44c816804"}, + {file = "pydantic_core-2.18.2-cp39-cp39-manylinux_2_17_armv7l.manylinux2014_armv7l.whl", hash = "sha256:e25add29b8f3b233ae90ccef2d902d0ae0432eb0d45370fe315d1a5cf231004b"}, + {file = "pydantic_core-2.18.2-cp39-cp39-manylinux_2_17_ppc64le.manylinux2014_ppc64le.whl", hash = "sha256:f459a5ce8434614dfd39bbebf1041952ae01da6bed9855008cb33b875cb024c0"}, + {file = "pydantic_core-2.18.2-cp39-cp39-manylinux_2_17_s390x.manylinux2014_s390x.whl", hash = "sha256:eff2de745698eb46eeb51193a9f41d67d834d50e424aef27df2fcdee1b153845"}, + {file = "pydantic_core-2.18.2-cp39-cp39-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:a8309f67285bdfe65c372ea3722b7a5642680f3dba538566340a9d36e920b5f0"}, + {file = "pydantic_core-2.18.2-cp39-cp39-manylinux_2_5_i686.manylinux1_i686.whl", hash = "sha256:f93a8a2e3938ff656a7c1bc57193b1319960ac015b6e87d76c76bf14fe0244b4"}, + {file = "pydantic_core-2.18.2-cp39-cp39-musllinux_1_1_aarch64.whl", hash = "sha256:22057013c8c1e272eb8d0eebc796701167d8377441ec894a8fed1af64a0bf399"}, + {file = "pydantic_core-2.18.2-cp39-cp39-musllinux_1_1_x86_64.whl", hash = "sha256:cfeecd1ac6cc1fb2692c3d5110781c965aabd4ec5d32799773ca7b1456ac636b"}, + {file = "pydantic_core-2.18.2-cp39-none-win32.whl", hash = "sha256:0d69b4c2f6bb3e130dba60d34c0845ba31b69babdd3f78f7c0c8fae5021a253e"}, + {file = "pydantic_core-2.18.2-cp39-none-win_amd64.whl", hash = "sha256:d9319e499827271b09b4e411905b24a426b8fb69464dfa1696258f53a3334641"}, + {file = "pydantic_core-2.18.2-pp310-pypy310_pp73-macosx_10_12_x86_64.whl", hash = "sha256:a1874c6dd4113308bd0eb568418e6114b252afe44319ead2b4081e9b9521fe75"}, + {file = "pydantic_core-2.18.2-pp310-pypy310_pp73-macosx_11_0_arm64.whl", hash = "sha256:ccdd111c03bfd3666bd2472b674c6899550e09e9f298954cfc896ab92b5b0e6d"}, + {file = "pydantic_core-2.18.2-pp310-pypy310_pp73-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:e18609ceaa6eed63753037fc06ebb16041d17d28199ae5aba0052c51449650a9"}, + {file = "pydantic_core-2.18.2-pp310-pypy310_pp73-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:6e5c584d357c4e2baf0ff7baf44f4994be121e16a2c88918a5817331fc7599d7"}, + {file = "pydantic_core-2.18.2-pp310-pypy310_pp73-manylinux_2_5_i686.manylinux1_i686.whl", hash = "sha256:43f0f463cf89ace478de71a318b1b4f05ebc456a9b9300d027b4b57c1a2064fb"}, + {file = "pydantic_core-2.18.2-pp310-pypy310_pp73-musllinux_1_1_aarch64.whl", hash = "sha256:e1b395e58b10b73b07b7cf740d728dd4ff9365ac46c18751bf8b3d8cca8f625a"}, + {file = "pydantic_core-2.18.2-pp310-pypy310_pp73-musllinux_1_1_x86_64.whl", hash = "sha256:0098300eebb1c837271d3d1a2cd2911e7c11b396eac9661655ee524a7f10587b"}, + {file = "pydantic_core-2.18.2-pp310-pypy310_pp73-win_amd64.whl", hash = "sha256:36789b70d613fbac0a25bb07ab3d9dba4d2e38af609c020cf4d888d165ee0bf3"}, + {file = "pydantic_core-2.18.2-pp39-pypy39_pp73-macosx_10_12_x86_64.whl", hash = "sha256:3f9a801e7c8f1ef8718da265bba008fa121243dfe37c1cea17840b0944dfd72c"}, + {file = "pydantic_core-2.18.2-pp39-pypy39_pp73-macosx_11_0_arm64.whl", hash = "sha256:3a6515ebc6e69d85502b4951d89131ca4e036078ea35533bb76327f8424531ce"}, + {file = "pydantic_core-2.18.2-pp39-pypy39_pp73-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:20aca1e2298c56ececfd8ed159ae4dde2df0781988c97ef77d5c16ff4bd5b400"}, + {file = "pydantic_core-2.18.2-pp39-pypy39_pp73-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:223ee893d77a310a0391dca6df00f70bbc2f36a71a895cecd9a0e762dc37b349"}, + {file = "pydantic_core-2.18.2-pp39-pypy39_pp73-manylinux_2_5_i686.manylinux1_i686.whl", hash = "sha256:2334ce8c673ee93a1d6a65bd90327588387ba073c17e61bf19b4fd97d688d63c"}, + {file = "pydantic_core-2.18.2-pp39-pypy39_pp73-musllinux_1_1_aarch64.whl", hash = "sha256:cbca948f2d14b09d20268cda7b0367723d79063f26c4ffc523af9042cad95592"}, + {file = "pydantic_core-2.18.2-pp39-pypy39_pp73-musllinux_1_1_x86_64.whl", hash = "sha256:b3ef08e20ec49e02d5c6717a91bb5af9b20f1805583cb0adfe9ba2c6b505b5ae"}, + {file = "pydantic_core-2.18.2-pp39-pypy39_pp73-win_amd64.whl", hash = "sha256:c6fdc8627910eed0c01aed6a390a252fe3ea6d472ee70fdde56273f198938374"}, + {file = "pydantic_core-2.18.2.tar.gz", hash = "sha256:2e29d20810dfc3043ee13ac7d9e25105799817683348823f305ab3f349b9386e"}, ] [package.dependencies] @@ -2109,17 +2109,16 @@ yaml = ["pyyaml (>=6.0.1)"] [[package]] name = "pygments" -version = "2.17.2" +version = "2.18.0" description = "Pygments is a syntax highlighting package written in Python." optional = false -python-versions = ">=3.7" +python-versions = ">=3.8" files = [ - {file = "pygments-2.17.2-py3-none-any.whl", hash = "sha256:b27c2826c47d0f3219f29554824c30c5e8945175d888647acd804ddd04af846c"}, - {file = "pygments-2.17.2.tar.gz", hash = "sha256:da46cec9fd2de5be3a8a784f434e4c4ab670b4ff54d605c4c2717e9d49c4c367"}, + {file = "pygments-2.18.0-py3-none-any.whl", hash = "sha256:b8e6aca0523f3ab76fee51799c488e38782ac06eafcf95e7ba832985c8e7b13a"}, + {file = "pygments-2.18.0.tar.gz", hash = "sha256:786ff802f32e91311bff3889f6e9a86e81505fe99f2735bb6d60ae0c5004f199"}, ] [package.extras] -plugins = ["importlib-metadata"] windows-terminal = ["colorama (>=0.4.6)"] [[package]] @@ -2159,18 +2158,18 @@ six = ">=1.5" [[package]] name = "python-docx" -version = "1.1.0" +version = "1.1.2" description = "Create, read, and update Microsoft Word .docx files." optional = false python-versions = ">=3.7" files = [ - {file = "python-docx-1.1.0.tar.gz", hash = "sha256:5829b722141cf1ab79aedf0c34d9fe9924b29764584c0f2164eb2b02dcdf17c9"}, - {file = "python_docx-1.1.0-py3-none-any.whl", hash = "sha256:bac9773278098a1ddc43a52d84e22f5909c4a3080a624530b3ecb3771b07c6cd"}, + {file = "python_docx-1.1.2-py3-none-any.whl", hash = "sha256:08c20d6058916fb19853fcf080f7f42b6270d89eac9fa5f8c15f691c0017fabe"}, + {file = "python_docx-1.1.2.tar.gz", hash = "sha256:0cf1f22e95b9002addca7948e16f2cd7acdfd498047f1941ca5d293db7762efd"}, ] [package.dependencies] lxml = ">=3.1.0" -typing-extensions = "*" +typing-extensions = ">=4.9.0" [[package]] name = "python-dotenv" @@ -2188,13 +2187,13 @@ cli = ["click (>=5.0)"] [[package]] name = "python-engineio" -version = "4.9.0" +version = "4.9.1" description = "Engine.IO server and client for Python" optional = false python-versions = ">=3.6" files = [ - {file = "python-engineio-4.9.0.tar.gz", hash = "sha256:e87459c15638e567711fd156e6f9c4a402668871bed79523f0ecfec744729ec7"}, - {file = "python_engineio-4.9.0-py3-none-any.whl", hash = "sha256:979859bff770725b75e60353d7ae53b397e8b517d05ba76733b404a3dcca3e4c"}, + {file = "python_engineio-4.9.1-py3-none-any.whl", hash = "sha256:f995e702b21f6b9ebde4e2000cd2ad0112ba0e5116ec8d22fe3515e76ba9dddd"}, + {file = "python_engineio-4.9.1.tar.gz", hash = "sha256:7631cf5563086076611e494c643b3fa93dd3a854634b5488be0bba0ef9b99709"}, ] [package.dependencies] @@ -2333,13 +2332,13 @@ files = [ [[package]] name = "requests" -version = "2.31.0" +version = "2.32.2" description = "Python HTTP for Humans." optional = false -python-versions = ">=3.7" +python-versions = ">=3.8" files = [ - {file = "requests-2.31.0-py3-none-any.whl", hash = "sha256:58cd2187c01e70e6e26505bca751777aa9f2ee0b7f4300988b709f44e013003f"}, - {file = "requests-2.31.0.tar.gz", hash = "sha256:942c5a758f98d790eaed1a29cb6eefc7ffb0d1cf7af05c3d2791656dbd6ad1e1"}, + {file = "requests-2.32.2-py3-none-any.whl", hash = "sha256:fc06670dd0ed212426dfeb94fc1b983d917c4f9847c863f313c9dfaaffb7c23c"}, + {file = "requests-2.32.2.tar.gz", hash = "sha256:dd951ff5ecf3e3b3aa26b40703ba77495dab41da839ae72ef3c8e5d8e2433289"}, ] [package.dependencies] @@ -2436,60 +2435,60 @@ files = [ [[package]] name = "sqlalchemy" -version = "2.0.29" +version = "2.0.30" description = "Database Abstraction Library" optional = false python-versions = ">=3.7" files = [ - {file = "SQLAlchemy-2.0.29-cp310-cp310-macosx_10_9_x86_64.whl", hash = "sha256:4c142852ae192e9fe5aad5c350ea6befe9db14370b34047e1f0f7cf99e63c63b"}, - {file = "SQLAlchemy-2.0.29-cp310-cp310-macosx_11_0_arm64.whl", hash = "sha256:99a1e69d4e26f71e750e9ad6fdc8614fbddb67cfe2173a3628a2566034e223c7"}, - {file = "SQLAlchemy-2.0.29-cp310-cp310-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:5ef3fbccb4058355053c51b82fd3501a6e13dd808c8d8cd2561e610c5456013c"}, - {file = "SQLAlchemy-2.0.29-cp310-cp310-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:9d6753305936eddc8ed190e006b7bb33a8f50b9854823485eed3a886857ab8d1"}, - {file = "SQLAlchemy-2.0.29-cp310-cp310-musllinux_1_1_aarch64.whl", hash = "sha256:0f3ca96af060a5250a8ad5a63699180bc780c2edf8abf96c58af175921df847a"}, - {file = "SQLAlchemy-2.0.29-cp310-cp310-musllinux_1_1_x86_64.whl", hash = "sha256:c4520047006b1d3f0d89e0532978c0688219857eb2fee7c48052560ae76aca1e"}, - {file = "SQLAlchemy-2.0.29-cp310-cp310-win32.whl", hash = "sha256:b2a0e3cf0caac2085ff172c3faacd1e00c376e6884b5bc4dd5b6b84623e29e4f"}, - {file = "SQLAlchemy-2.0.29-cp310-cp310-win_amd64.whl", hash = "sha256:01d10638a37460616708062a40c7b55f73e4d35eaa146781c683e0fa7f6c43fb"}, - {file = "SQLAlchemy-2.0.29-cp311-cp311-macosx_10_9_x86_64.whl", hash = "sha256:308ef9cb41d099099fffc9d35781638986870b29f744382904bf9c7dadd08513"}, - {file = "SQLAlchemy-2.0.29-cp311-cp311-macosx_11_0_arm64.whl", hash = "sha256:296195df68326a48385e7a96e877bc19aa210e485fa381c5246bc0234c36c78e"}, - {file = "SQLAlchemy-2.0.29-cp311-cp311-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:a13b917b4ffe5a0a31b83d051d60477819ddf18276852ea68037a144a506efb9"}, - {file = "SQLAlchemy-2.0.29-cp311-cp311-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:4f6d971255d9ddbd3189e2e79d743ff4845c07f0633adfd1de3f63d930dbe673"}, - {file = "SQLAlchemy-2.0.29-cp311-cp311-musllinux_1_1_aarch64.whl", hash = "sha256:61405ea2d563407d316c63a7b5271ae5d274a2a9fbcd01b0aa5503635699fa1e"}, - {file = "SQLAlchemy-2.0.29-cp311-cp311-musllinux_1_1_x86_64.whl", hash = "sha256:de7202ffe4d4a8c1e3cde1c03e01c1a3772c92858837e8f3879b497158e4cb44"}, - {file = "SQLAlchemy-2.0.29-cp311-cp311-win32.whl", hash = "sha256:b5d7ed79df55a731749ce65ec20d666d82b185fa4898430b17cb90c892741520"}, - {file = "SQLAlchemy-2.0.29-cp311-cp311-win_amd64.whl", hash = "sha256:205f5a2b39d7c380cbc3b5dcc8f2762fb5bcb716838e2d26ccbc54330775b003"}, - {file = "SQLAlchemy-2.0.29-cp312-cp312-macosx_10_9_x86_64.whl", hash = "sha256:d96710d834a6fb31e21381c6d7b76ec729bd08c75a25a5184b1089141356171f"}, - {file = "SQLAlchemy-2.0.29-cp312-cp312-macosx_11_0_arm64.whl", hash = "sha256:52de4736404e53c5c6a91ef2698c01e52333988ebdc218f14c833237a0804f1b"}, - {file = "SQLAlchemy-2.0.29-cp312-cp312-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:5c7b02525ede2a164c5fa5014915ba3591730f2cc831f5be9ff3b7fd3e30958e"}, - {file = "SQLAlchemy-2.0.29-cp312-cp312-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:0dfefdb3e54cd15f5d56fd5ae32f1da2d95d78319c1f6dfb9bcd0eb15d603d5d"}, - {file = "SQLAlchemy-2.0.29-cp312-cp312-musllinux_1_1_aarch64.whl", hash = "sha256:a88913000da9205b13f6f195f0813b6ffd8a0c0c2bd58d499e00a30eb508870c"}, - {file = "SQLAlchemy-2.0.29-cp312-cp312-musllinux_1_1_x86_64.whl", hash = "sha256:fecd5089c4be1bcc37c35e9aa678938d2888845a134dd016de457b942cf5a758"}, - {file = "SQLAlchemy-2.0.29-cp312-cp312-win32.whl", hash = "sha256:8197d6f7a3d2b468861ebb4c9f998b9df9e358d6e1cf9c2a01061cb9b6cf4e41"}, - {file = "SQLAlchemy-2.0.29-cp312-cp312-win_amd64.whl", hash = "sha256:9b19836ccca0d321e237560e475fd99c3d8655d03da80c845c4da20dda31b6e1"}, - {file = "SQLAlchemy-2.0.29-cp37-cp37m-macosx_10_9_x86_64.whl", hash = "sha256:87a1d53a5382cdbbf4b7619f107cc862c1b0a4feb29000922db72e5a66a5ffc0"}, - {file = "SQLAlchemy-2.0.29-cp37-cp37m-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:2a0732dffe32333211801b28339d2a0babc1971bc90a983e3035e7b0d6f06b93"}, - {file = "SQLAlchemy-2.0.29-cp37-cp37m-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:90453597a753322d6aa770c5935887ab1fc49cc4c4fdd436901308383d698b4b"}, - {file = "SQLAlchemy-2.0.29-cp37-cp37m-musllinux_1_1_aarch64.whl", hash = "sha256:ea311d4ee9a8fa67f139c088ae9f905fcf0277d6cd75c310a21a88bf85e130f5"}, - {file = "SQLAlchemy-2.0.29-cp37-cp37m-musllinux_1_1_x86_64.whl", hash = "sha256:5f20cb0a63a3e0ec4e169aa8890e32b949c8145983afa13a708bc4b0a1f30e03"}, - {file = "SQLAlchemy-2.0.29-cp37-cp37m-win32.whl", hash = "sha256:e5bbe55e8552019c6463709b39634a5fc55e080d0827e2a3a11e18eb73f5cdbd"}, - {file = "SQLAlchemy-2.0.29-cp37-cp37m-win_amd64.whl", hash = "sha256:c2f9c762a2735600654c654bf48dad388b888f8ce387b095806480e6e4ff6907"}, - {file = "SQLAlchemy-2.0.29-cp38-cp38-macosx_10_9_x86_64.whl", hash = "sha256:7e614d7a25a43a9f54fcce4675c12761b248547f3d41b195e8010ca7297c369c"}, - {file = "SQLAlchemy-2.0.29-cp38-cp38-macosx_11_0_arm64.whl", hash = "sha256:471fcb39c6adf37f820350c28aac4a7df9d3940c6548b624a642852e727ea586"}, - {file = "SQLAlchemy-2.0.29-cp38-cp38-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:988569c8732f54ad3234cf9c561364221a9e943b78dc7a4aaf35ccc2265f1930"}, - {file = "SQLAlchemy-2.0.29-cp38-cp38-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:dddaae9b81c88083e6437de95c41e86823d150f4ee94bf24e158a4526cbead01"}, - {file = "SQLAlchemy-2.0.29-cp38-cp38-musllinux_1_1_aarch64.whl", hash = "sha256:334184d1ab8f4c87f9652b048af3f7abea1c809dfe526fb0435348a6fef3d380"}, - {file = "SQLAlchemy-2.0.29-cp38-cp38-musllinux_1_1_x86_64.whl", hash = "sha256:38b624e5cf02a69b113c8047cf7f66b5dfe4a2ca07ff8b8716da4f1b3ae81567"}, - {file = "SQLAlchemy-2.0.29-cp38-cp38-win32.whl", hash = "sha256:bab41acf151cd68bc2b466deae5deeb9e8ae9c50ad113444151ad965d5bf685b"}, - {file = "SQLAlchemy-2.0.29-cp38-cp38-win_amd64.whl", hash = "sha256:52c8011088305476691b8750c60e03b87910a123cfd9ad48576d6414b6ec2a1d"}, - {file = "SQLAlchemy-2.0.29-cp39-cp39-macosx_10_9_x86_64.whl", hash = "sha256:3071ad498896907a5ef756206b9dc750f8e57352113c19272bdfdc429c7bd7de"}, - {file = "SQLAlchemy-2.0.29-cp39-cp39-macosx_11_0_arm64.whl", hash = "sha256:dba622396a3170974f81bad49aacebd243455ec3cc70615aeaef9e9613b5bca5"}, - {file = "SQLAlchemy-2.0.29-cp39-cp39-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:7b184e3de58009cc0bf32e20f137f1ec75a32470f5fede06c58f6c355ed42a72"}, - {file = "SQLAlchemy-2.0.29-cp39-cp39-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:8c37f1050feb91f3d6c32f864d8e114ff5545a4a7afe56778d76a9aec62638ba"}, - {file = "SQLAlchemy-2.0.29-cp39-cp39-musllinux_1_1_aarch64.whl", hash = "sha256:bda7ce59b06d0f09afe22c56714c65c957b1068dee3d5e74d743edec7daba552"}, - {file = "SQLAlchemy-2.0.29-cp39-cp39-musllinux_1_1_x86_64.whl", hash = "sha256:25664e18bef6dc45015b08f99c63952a53a0a61f61f2e48a9e70cec27e55f699"}, - {file = "SQLAlchemy-2.0.29-cp39-cp39-win32.whl", hash = "sha256:77d29cb6c34b14af8a484e831ab530c0f7188f8efed1c6a833a2c674bf3c26ec"}, - {file = "SQLAlchemy-2.0.29-cp39-cp39-win_amd64.whl", hash = "sha256:04c487305ab035a9548f573763915189fc0fe0824d9ba28433196f8436f1449c"}, - {file = "SQLAlchemy-2.0.29-py3-none-any.whl", hash = "sha256:dc4ee2d4ee43251905f88637d5281a8d52e916a021384ec10758826f5cbae305"}, - {file = "SQLAlchemy-2.0.29.tar.gz", hash = "sha256:bd9566b8e58cabd700bc367b60e90d9349cd16f0984973f98a9a09f9c64e86f0"}, + {file = "SQLAlchemy-2.0.30-cp310-cp310-macosx_10_9_x86_64.whl", hash = "sha256:3b48154678e76445c7ded1896715ce05319f74b1e73cf82d4f8b59b46e9c0ddc"}, + {file = "SQLAlchemy-2.0.30-cp310-cp310-macosx_11_0_arm64.whl", hash = "sha256:2753743c2afd061bb95a61a51bbb6a1a11ac1c44292fad898f10c9839a7f75b2"}, + {file = "SQLAlchemy-2.0.30-cp310-cp310-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:a7bfc726d167f425d4c16269a9a10fe8630ff6d14b683d588044dcef2d0f6be7"}, + {file = "SQLAlchemy-2.0.30-cp310-cp310-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:c4f61ada6979223013d9ab83a3ed003ded6959eae37d0d685db2c147e9143797"}, + {file = "SQLAlchemy-2.0.30-cp310-cp310-musllinux_1_1_aarch64.whl", hash = "sha256:3a365eda439b7a00732638f11072907c1bc8e351c7665e7e5da91b169af794af"}, + {file = "SQLAlchemy-2.0.30-cp310-cp310-musllinux_1_1_x86_64.whl", hash = "sha256:bba002a9447b291548e8d66fd8c96a6a7ed4f2def0bb155f4f0a1309fd2735d5"}, + {file = "SQLAlchemy-2.0.30-cp310-cp310-win32.whl", hash = "sha256:0138c5c16be3600923fa2169532205d18891b28afa817cb49b50e08f62198bb8"}, + {file = "SQLAlchemy-2.0.30-cp310-cp310-win_amd64.whl", hash = "sha256:99650e9f4cf3ad0d409fed3eec4f071fadd032e9a5edc7270cd646a26446feeb"}, + {file = "SQLAlchemy-2.0.30-cp311-cp311-macosx_10_9_x86_64.whl", hash = "sha256:955991a09f0992c68a499791a753523f50f71a6885531568404fa0f231832aa0"}, + {file = "SQLAlchemy-2.0.30-cp311-cp311-macosx_11_0_arm64.whl", hash = "sha256:f69e4c756ee2686767eb80f94c0125c8b0a0b87ede03eacc5c8ae3b54b99dc46"}, + {file = "SQLAlchemy-2.0.30-cp311-cp311-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:69c9db1ce00e59e8dd09d7bae852a9add716efdc070a3e2068377e6ff0d6fdaa"}, + {file = "SQLAlchemy-2.0.30-cp311-cp311-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:a1429a4b0f709f19ff3b0cf13675b2b9bfa8a7e79990003207a011c0db880a13"}, + {file = "SQLAlchemy-2.0.30-cp311-cp311-musllinux_1_1_aarch64.whl", hash = "sha256:efedba7e13aa9a6c8407c48facfdfa108a5a4128e35f4c68f20c3407e4376aa9"}, + {file = "SQLAlchemy-2.0.30-cp311-cp311-musllinux_1_1_x86_64.whl", hash = "sha256:16863e2b132b761891d6c49f0a0f70030e0bcac4fd208117f6b7e053e68668d0"}, + {file = "SQLAlchemy-2.0.30-cp311-cp311-win32.whl", hash = "sha256:2ecabd9ccaa6e914e3dbb2aa46b76dede7eadc8cbf1b8083c94d936bcd5ffb49"}, + {file = "SQLAlchemy-2.0.30-cp311-cp311-win_amd64.whl", hash = "sha256:0b3f4c438e37d22b83e640f825ef0f37b95db9aa2d68203f2c9549375d0b2260"}, + {file = "SQLAlchemy-2.0.30-cp312-cp312-macosx_10_9_x86_64.whl", hash = "sha256:5a79d65395ac5e6b0c2890935bad892eabb911c4aa8e8015067ddb37eea3d56c"}, + {file = "SQLAlchemy-2.0.30-cp312-cp312-macosx_11_0_arm64.whl", hash = "sha256:9a5baf9267b752390252889f0c802ea13b52dfee5e369527da229189b8bd592e"}, + {file = "SQLAlchemy-2.0.30-cp312-cp312-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:3cb5a646930c5123f8461f6468901573f334c2c63c795b9af350063a736d0134"}, + {file = "SQLAlchemy-2.0.30-cp312-cp312-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:296230899df0b77dec4eb799bcea6fbe39a43707ce7bb166519c97b583cfcab3"}, + {file = "SQLAlchemy-2.0.30-cp312-cp312-musllinux_1_1_aarch64.whl", hash = "sha256:c62d401223f468eb4da32627bffc0c78ed516b03bb8a34a58be54d618b74d472"}, + {file = "SQLAlchemy-2.0.30-cp312-cp312-musllinux_1_1_x86_64.whl", hash = "sha256:3b69e934f0f2b677ec111b4d83f92dc1a3210a779f69bf905273192cf4ed433e"}, + {file = "SQLAlchemy-2.0.30-cp312-cp312-win32.whl", hash = "sha256:77d2edb1f54aff37e3318f611637171e8ec71472f1fdc7348b41dcb226f93d90"}, + {file = "SQLAlchemy-2.0.30-cp312-cp312-win_amd64.whl", hash = "sha256:b6c7ec2b1f4969fc19b65b7059ed00497e25f54069407a8701091beb69e591a5"}, + {file = "SQLAlchemy-2.0.30-cp37-cp37m-macosx_10_9_x86_64.whl", hash = "sha256:5a8e3b0a7e09e94be7510d1661339d6b52daf202ed2f5b1f9f48ea34ee6f2d57"}, + {file = "SQLAlchemy-2.0.30-cp37-cp37m-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:b60203c63e8f984df92035610c5fb76d941254cf5d19751faab7d33b21e5ddc0"}, + {file = "SQLAlchemy-2.0.30-cp37-cp37m-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:f1dc3eabd8c0232ee8387fbe03e0a62220a6f089e278b1f0aaf5e2d6210741ad"}, + {file = "SQLAlchemy-2.0.30-cp37-cp37m-musllinux_1_1_aarch64.whl", hash = "sha256:40ad017c672c00b9b663fcfcd5f0864a0a97828e2ee7ab0c140dc84058d194cf"}, + {file = "SQLAlchemy-2.0.30-cp37-cp37m-musllinux_1_1_x86_64.whl", hash = "sha256:e42203d8d20dc704604862977b1470a122e4892791fe3ed165f041e4bf447a1b"}, + {file = "SQLAlchemy-2.0.30-cp37-cp37m-win32.whl", hash = "sha256:2a4f4da89c74435f2bc61878cd08f3646b699e7d2eba97144030d1be44e27584"}, + {file = "SQLAlchemy-2.0.30-cp37-cp37m-win_amd64.whl", hash = "sha256:b6bf767d14b77f6a18b6982cbbf29d71bede087edae495d11ab358280f304d8e"}, + {file = "SQLAlchemy-2.0.30-cp38-cp38-macosx_10_9_x86_64.whl", hash = "sha256:bc0c53579650a891f9b83fa3cecd4e00218e071d0ba00c4890f5be0c34887ed3"}, + {file = "SQLAlchemy-2.0.30-cp38-cp38-macosx_11_0_arm64.whl", hash = "sha256:311710f9a2ee235f1403537b10c7687214bb1f2b9ebb52702c5aa4a77f0b3af7"}, + {file = "SQLAlchemy-2.0.30-cp38-cp38-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:408f8b0e2c04677e9c93f40eef3ab22f550fecb3011b187f66a096395ff3d9fd"}, + {file = "SQLAlchemy-2.0.30-cp38-cp38-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:37a4b4fb0dd4d2669070fb05b8b8824afd0af57587393015baee1cf9890242d9"}, + {file = "SQLAlchemy-2.0.30-cp38-cp38-musllinux_1_1_aarch64.whl", hash = "sha256:a943d297126c9230719c27fcbbeab57ecd5d15b0bd6bfd26e91bfcfe64220621"}, + {file = "SQLAlchemy-2.0.30-cp38-cp38-musllinux_1_1_x86_64.whl", hash = "sha256:0a089e218654e740a41388893e090d2e2c22c29028c9d1353feb38638820bbeb"}, + {file = "SQLAlchemy-2.0.30-cp38-cp38-win32.whl", hash = "sha256:fa561138a64f949f3e889eb9ab8c58e1504ab351d6cf55259dc4c248eaa19da6"}, + {file = "SQLAlchemy-2.0.30-cp38-cp38-win_amd64.whl", hash = "sha256:7d74336c65705b986d12a7e337ba27ab2b9d819993851b140efdf029248e818e"}, + {file = "SQLAlchemy-2.0.30-cp39-cp39-macosx_10_9_x86_64.whl", hash = "sha256:ae8c62fe2480dd61c532ccafdbce9b29dacc126fe8be0d9a927ca3e699b9491a"}, + {file = "SQLAlchemy-2.0.30-cp39-cp39-macosx_11_0_arm64.whl", hash = "sha256:2383146973a15435e4717f94c7509982770e3e54974c71f76500a0136f22810b"}, + {file = "SQLAlchemy-2.0.30-cp39-cp39-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:8409de825f2c3b62ab15788635ccaec0c881c3f12a8af2b12ae4910a0a9aeef6"}, + {file = "SQLAlchemy-2.0.30-cp39-cp39-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:0094c5dc698a5f78d3d1539853e8ecec02516b62b8223c970c86d44e7a80f6c7"}, + {file = "SQLAlchemy-2.0.30-cp39-cp39-musllinux_1_1_aarch64.whl", hash = "sha256:edc16a50f5e1b7a06a2dcc1f2205b0b961074c123ed17ebda726f376a5ab0953"}, + {file = "SQLAlchemy-2.0.30-cp39-cp39-musllinux_1_1_x86_64.whl", hash = "sha256:f7703c2010355dd28f53deb644a05fc30f796bd8598b43f0ba678878780b6e4c"}, + {file = "SQLAlchemy-2.0.30-cp39-cp39-win32.whl", hash = "sha256:1f9a727312ff6ad5248a4367358e2cf7e625e98b1028b1d7ab7b806b7d757513"}, + {file = "SQLAlchemy-2.0.30-cp39-cp39-win_amd64.whl", hash = "sha256:a0ef36b28534f2a5771191be6edb44cc2673c7b2edf6deac6562400288664221"}, + {file = "SQLAlchemy-2.0.30-py3-none-any.whl", hash = "sha256:7108d569d3990c71e26a42f60474b4c02c8586c4681af5fd67e51a044fdea86a"}, + {file = "SQLAlchemy-2.0.30.tar.gz", hash = "sha256:2b1708916730f4830bc69d6f49d37f7698b5bd7530aca7f04f785f8849e95255"}, ] [package.dependencies] @@ -2555,17 +2554,18 @@ full = ["httpx (>=0.22.0)", "itsdangerous", "jinja2", "python-multipart (>=0.0.7 [[package]] name = "tenacity" -version = "8.2.3" +version = "8.3.0" description = "Retry code until it succeeds" optional = false -python-versions = ">=3.7" +python-versions = ">=3.8" files = [ - {file = "tenacity-8.2.3-py3-none-any.whl", hash = "sha256:ce510e327a630c9e1beaf17d42e6ffacc88185044ad85cf74c0a8887c6a0f88c"}, - {file = "tenacity-8.2.3.tar.gz", hash = "sha256:5398ef0d78e63f40007c1fb4c0bff96e1911394d2fa8d194f77619c05ff6cc8a"}, + {file = "tenacity-8.3.0-py3-none-any.whl", hash = "sha256:3649f6443dbc0d9b01b9d8020a9c4ec7a1ff5f6f3c6c8a036ef371f573fe9185"}, + {file = "tenacity-8.3.0.tar.gz", hash = "sha256:953d4e6ad24357bceffbc9707bc74349aca9d245f68eb65419cf0c249a1949a2"}, ] [package.extras] -doc = ["reno", "sphinx", "tornado (>=4.5)"] +doc = ["reno", "sphinx"] +test = ["pytest", "tornado (>=4.5)", "typeguard"] [[package]] name = "typer" @@ -2586,13 +2586,13 @@ typing-extensions = ">=3.7.4.3" [[package]] name = "types-requests" -version = "2.31.0.20240406" +version = "2.32.0.20240523" description = "Typing stubs for requests" optional = false python-versions = ">=3.8" files = [ - {file = "types-requests-2.31.0.20240406.tar.gz", hash = "sha256:4428df33c5503945c74b3f42e82b181e86ec7b724620419a2966e2de604ce1a1"}, - {file = "types_requests-2.31.0.20240406-py3-none-any.whl", hash = "sha256:6216cdac377c6b9a040ac1c0404f7284bd13199c0e1bb235f4324627e8898cf5"}, + {file = "types-requests-2.32.0.20240523.tar.gz", hash = "sha256:26b8a6de32d9f561192b9942b41c0ab2d8010df5677ca8aa146289d11d505f57"}, + {file = "types_requests-2.32.0.20240523-py3-none-any.whl", hash = "sha256:f19ed0e2daa74302069bbbbf9e82902854ffa780bc790742a810a9aaa52f65ec"}, ] [package.dependencies] @@ -2890,5 +2890,5 @@ local = [] [metadata] lock-version = "2.0" -python-versions = ">=3.10,<3.12" -content-hash = "cd3479e6f463fcdce1bef948ca71952b0650d1d7f4891ba1bc873368cd4b095d" +python-versions = ">=3.10,<3.13" +content-hash = "200c17e119f7ba7fdb64de320bdf464c65daf06f62bcc41258b32247a99e3dc1" diff --git a/src/backend/base/pyproject.toml b/src/backend/base/pyproject.toml index 4a910b53a..b59196fa2 100644 --- a/src/backend/base/pyproject.toml +++ b/src/backend/base/pyproject.toml @@ -1,6 +1,6 @@ [tool.poetry] name = "langflow-base" -version = "0.0.36" +version = "0.0.47" description = "A Python package with a built-in web application" authors = ["Langflow "] maintainers = [ @@ -25,7 +25,7 @@ documentation = "https://docs.langflow.org" langflow-base = "langflow.__main__:main" [tool.poetry.dependencies] -python = ">=3.10,<3.12" +python = ">=3.10,<3.13" fastapi = "^0.110.1" httpx = "*" uvicorn = "^0.29.0" @@ -52,7 +52,7 @@ docstring-parser = "^0.15" python-jose = "^3.3.0" pandas = "2.2.0" multiprocess = "^0.70.14" -duckdb = "^0.9.2" +duckdb = "^0.10.2" python-socketio = "^5.11.0" python-docx = "^1.1.0" jq = { version = "^1.7.0", markers = "sys_platform != 'win32'" } diff --git a/src/frontend/.eslintrc.json b/src/frontend/.eslintrc.json index 682c7fc87..1b09f8c18 100644 --- a/src/frontend/.eslintrc.json +++ b/src/frontend/.eslintrc.json @@ -1,7 +1,24 @@ { - "extends": ["eslint:recommended", "plugin:node/recommended"], + "extends": [ + "eslint:recommended", + "plugin:react/recommended", + "plugin:prettier/recommended" + ], + "plugins": ["react", "import-helpers", "prettier"], + "parser": "@typescript-eslint/parser", "parserOptions": { - "ecmaVersion": 2018 + "project": ["./tsconfig.node.json", "./tsconfig.json"], + "extraFileExtensions:": [".mdx"], + "extensions:": [".mdx"] + }, + "env": { + "browser": true, + "es2021": true + }, + "settings": { + "react": { + "version": "detect" + } }, "rules": { "no-console": "warn", @@ -16,6 +33,7 @@ "no-redeclare": "error", "no-empty": "error", "no-await-in-loop": "error", + "react/react-in-jsx-scope": 0, "node/exports-style": ["error", "module.exports"], "node/file-extension-in-import": ["error", "always"], "node/prefer-global/buffer": ["error", "always"], diff --git a/src/frontend/.gitignore b/src/frontend/.gitignore index a6dee659a..285b976e3 100644 --- a/src/frontend/.gitignore +++ b/src/frontend/.gitignore @@ -28,3 +28,7 @@ yarn-error.log* /playwright-report/ /blob-report/ /playwright/.cache/ +/test-results/ +/playwright-report/ +/blob-report/ +/playwright/.cache/ diff --git a/src/frontend/.prettierignore b/src/frontend/.prettierignore new file mode 100644 index 000000000..07ed7069a --- /dev/null +++ b/src/frontend/.prettierignore @@ -0,0 +1 @@ +build/* \ No newline at end of file diff --git a/src/frontend/package-lock.json b/src/frontend/package-lock.json index 5a0a618c5..363415ccf 100644 --- a/src/frontend/package-lock.json +++ b/src/frontend/package-lock.json @@ -9,6 +9,7 @@ "version": "0.1.2", "dependencies": { "@headlessui/react": "^1.7.17", + "@hookform/resolvers": "^3.3.4", "@million/lint": "^0.0.73", "@radix-ui/react-accordion": "^1.1.2", "@radix-ui/react-checkbox": "^1.0.4", @@ -31,6 +32,8 @@ "@tailwindcss/line-clamp": "^0.4.4", "@types/axios": "^0.14.0", "ace-builds": "^1.24.1", + "ag-grid-community": "^31.2.1", + "ag-grid-react": "^31.2.1", "ansi-to-html": "^0.7.2", "axios": "^1.5.0", "base64-js": "^1.5.1", @@ -40,20 +43,24 @@ "dompurify": "^3.0.5", "dotenv": "^16.4.5", "esbuild": "^0.17.19", + "file-saver": "^2.0.5", "framer-motion": "^11.0.6", "lodash": "^4.17.21", "lucide-react": "^0.331.0", "million": "^3.0.6", "moment": "^2.29.4", + "openseadragon": "^4.1.1", "playwright": "^1.42.0", - "react": "^18.2.0", + "react": "^18.2.21", "react-ace": "^10.1.0", "react-cookie": "^4.1.1", - "react-dom": "^18.2.0", + "react-dom": "^18.2.21", "react-error-boundary": "^4.0.11", + "react-hook-form": "^7.51.4", "react-icons": "^5.0.1", "react-laag": "^2.0.5", "react-markdown": "^8.0.7", + "react-pdf": "^7.7.1", "react-router-dom": "^6.15.0", "react-syntax-highlighter": "^15.5.0", "react18-json-view": "^0.2.3", @@ -68,10 +75,11 @@ "uuid": "^9.0.0", "vite-plugin-svgr": "^3.2.0", "web-vitals": "^2.1.4", + "zod": "^3.23.7", "zustand": "^4.4.7" }, "devDependencies": { - "@playwright/test": "^1.42.0", + "@playwright/test": "^1.44.0", "@swc/cli": "^0.1.62", "@swc/core": "^1.3.80", "@tailwindcss/typography": "^0.5.9", @@ -94,6 +102,7 @@ "prettier-plugin-organize-imports": "^3.2.3", "prettier-plugin-tailwindcss": "^0.3.0", "pretty-quick": "^3.1.3", + "simple-git-hooks": "^2.11.1", "tailwindcss": "^3.3.3", "tailwindcss-dotted-background": "^1.1.0", "typescript": "^5.2.2", @@ -101,15 +110,6 @@ "vite": "^4.5.2" } }, - "node_modules/@aashutoshrathi/word-wrap": { - "version": "1.2.6", - "resolved": "https://registry.npmjs.org/@aashutoshrathi/word-wrap/-/word-wrap-1.2.6.tgz", - "integrity": "sha512-1Yjs2SvM8TflER/OD3cOjhWWOZb58A2t7wpE2S9XfBYTiIl+XFhQG2bjy4Pu1I+EAlCNUzRDYDdFwFYUKvXcIA==", - "dev": true, - "engines": { - "node": ">=0.10.0" - } - }, "node_modules/@adobe/css-tools": { "version": "4.3.3", "resolved": "https://registry.npmjs.org/@adobe/css-tools/-/css-tools-4.3.3.tgz", @@ -153,6 +153,26 @@ "nun": "bin/nun.mjs" } }, + "node_modules/@axiomhq/js": { + "version": "1.0.0-rc.3", + "resolved": "https://registry.npmjs.org/@axiomhq/js/-/js-1.0.0-rc.3.tgz", + "integrity": "sha512-Zm10TczcMLounWqC42nMkXQ7XKLqjzLrd5ia022oBKDUZqAFVg2y9d1quQVNV4FlXyg9MKDdfMjpKQRmzEGaog==", + "dependencies": { + "fetch-retry": "^6.0.0", + "uuid": "^8.3.2" + }, + "engines": { + "node": ">=16" + } + }, + "node_modules/@axiomhq/js/node_modules/uuid": { + "version": "8.3.2", + "resolved": "https://registry.npmjs.org/uuid/-/uuid-8.3.2.tgz", + "integrity": "sha512-+NYs2QeMWy+GWFOEm9xnn6HCDp0l7QBD7ml8zLUmJ+93Q5NF0NocErnwkTkXVFNiX3/fpC6afS8Dhb/gz7R7eg==", + "bin": { + "uuid": "dist/bin/uuid" + } + }, "node_modules/@babel/code-frame": { "version": "7.24.2", "resolved": "https://registry.npmjs.org/@babel/code-frame/-/code-frame-7.24.2.tgz", @@ -174,20 +194,20 @@ } }, "node_modules/@babel/core": { - "version": "7.24.4", - "resolved": "https://registry.npmjs.org/@babel/core/-/core-7.24.4.tgz", - "integrity": "sha512-MBVlMXP+kkl5394RBLSxxk/iLTeVGuXTV3cIDXavPpMMqnSnt6apKgan/U8O3USWZCWZT/TbgfEpKa4uMgN4Dg==", + "version": "7.24.5", + "resolved": "https://registry.npmjs.org/@babel/core/-/core-7.24.5.tgz", + "integrity": "sha512-tVQRucExLQ02Boi4vdPp49svNGcfL2GhdTCT9aldhXgCJVAI21EtRfBettiuLUwce/7r6bFdgs6JFkcdTiFttA==", "dependencies": { "@ampproject/remapping": "^2.2.0", "@babel/code-frame": "^7.24.2", - "@babel/generator": "^7.24.4", + "@babel/generator": "^7.24.5", "@babel/helper-compilation-targets": "^7.23.6", - "@babel/helper-module-transforms": "^7.23.3", - "@babel/helpers": "^7.24.4", - "@babel/parser": "^7.24.4", + "@babel/helper-module-transforms": "^7.24.5", + "@babel/helpers": "^7.24.5", + "@babel/parser": "^7.24.5", "@babel/template": "^7.24.0", - "@babel/traverse": "^7.24.1", - "@babel/types": "^7.24.0", + "@babel/traverse": "^7.24.5", + "@babel/types": "^7.24.5", "convert-source-map": "^2.0.0", "debug": "^4.1.0", "gensync": "^1.0.0-beta.2", @@ -203,11 +223,11 @@ } }, "node_modules/@babel/generator": { - "version": "7.24.4", - "resolved": "https://registry.npmjs.org/@babel/generator/-/generator-7.24.4.tgz", - "integrity": "sha512-Xd6+v6SnjWVx/nus+y0l1sxMOTOMBkyL4+BIdbALyatQnAe/SRVjANeDPSCYaX+i1iJmuGSKf3Z+E+V/va1Hvw==", + "version": "7.24.5", + "resolved": "https://registry.npmjs.org/@babel/generator/-/generator-7.24.5.tgz", + "integrity": "sha512-x32i4hEXvr+iI0NEoEfDKzlemF8AmtOP8CcrRaEcpzysWuoEb1KknpcvMsHKPONoKZiDuItklgWhB18xEhr9PA==", "dependencies": { - "@babel/types": "^7.24.0", + "@babel/types": "^7.24.5", "@jridgewell/gen-mapping": "^0.3.5", "@jridgewell/trace-mapping": "^0.3.25", "jsesc": "^2.5.1" @@ -274,15 +294,15 @@ } }, "node_modules/@babel/helper-module-transforms": { - "version": "7.23.3", - "resolved": "https://registry.npmjs.org/@babel/helper-module-transforms/-/helper-module-transforms-7.23.3.tgz", - "integrity": "sha512-7bBs4ED9OmswdfDzpz4MpWgSrV7FXlc3zIagvLFjS5H+Mk7Snr21vQ6QwrsoCGMfNC4e4LQPdoULEt4ykz0SRQ==", + "version": "7.24.5", + "resolved": "https://registry.npmjs.org/@babel/helper-module-transforms/-/helper-module-transforms-7.24.5.tgz", + "integrity": "sha512-9GxeY8c2d2mdQUP1Dye0ks3VDyIMS98kt/llQ2nUId8IsWqTF0l1LkSX0/uP7l7MCDrzXS009Hyhe2gzTiGW8A==", "dependencies": { "@babel/helper-environment-visitor": "^7.22.20", - "@babel/helper-module-imports": "^7.22.15", - "@babel/helper-simple-access": "^7.22.5", - "@babel/helper-split-export-declaration": "^7.22.6", - "@babel/helper-validator-identifier": "^7.22.20" + "@babel/helper-module-imports": "^7.24.3", + "@babel/helper-simple-access": "^7.24.5", + "@babel/helper-split-export-declaration": "^7.24.5", + "@babel/helper-validator-identifier": "^7.24.5" }, "engines": { "node": ">=6.9.0" @@ -292,22 +312,22 @@ } }, "node_modules/@babel/helper-simple-access": { - "version": "7.22.5", - "resolved": "https://registry.npmjs.org/@babel/helper-simple-access/-/helper-simple-access-7.22.5.tgz", - "integrity": "sha512-n0H99E/K+Bika3++WNL17POvo4rKWZ7lZEp1Q+fStVbUi8nxPQEBOlTmCOxW/0JsS56SKKQ+ojAe2pHKJHN35w==", + "version": "7.24.5", + "resolved": "https://registry.npmjs.org/@babel/helper-simple-access/-/helper-simple-access-7.24.5.tgz", + "integrity": "sha512-uH3Hmf5q5n7n8mz7arjUlDOCbttY/DW4DYhE6FUsjKJ/oYC1kQQUvwEQWxRwUpX9qQKRXeqLwWxrqilMrf32sQ==", "dependencies": { - "@babel/types": "^7.22.5" + "@babel/types": "^7.24.5" }, "engines": { "node": ">=6.9.0" } }, "node_modules/@babel/helper-split-export-declaration": { - "version": "7.22.6", - "resolved": "https://registry.npmjs.org/@babel/helper-split-export-declaration/-/helper-split-export-declaration-7.22.6.tgz", - "integrity": "sha512-AsUnxuLhRYsisFiaJwvp1QF+I3KjD5FOxut14q/GzovUe6orHLesW2C7d754kRm53h5gqrz6sFl6sxc4BVtE/g==", + "version": "7.24.5", + "resolved": "https://registry.npmjs.org/@babel/helper-split-export-declaration/-/helper-split-export-declaration-7.24.5.tgz", + "integrity": "sha512-5CHncttXohrHk8GWOFCcCl4oRD9fKosWlIRgWm4ql9VYioKm52Mk2xsmoohvm7f3JoiLSM5ZgJuRaf5QZZYd3Q==", "dependencies": { - "@babel/types": "^7.22.5" + "@babel/types": "^7.24.5" }, "engines": { "node": ">=6.9.0" @@ -322,9 +342,9 @@ } }, "node_modules/@babel/helper-validator-identifier": { - "version": "7.22.20", - "resolved": "https://registry.npmjs.org/@babel/helper-validator-identifier/-/helper-validator-identifier-7.22.20.tgz", - "integrity": "sha512-Y4OZ+ytlatR8AI+8KZfKuL5urKp7qey08ha31L8b3BwewJAoJamTzyvxPR/5D+KkdJCGPq/+8TukHBlY10FX9A==", + "version": "7.24.5", + "resolved": "https://registry.npmjs.org/@babel/helper-validator-identifier/-/helper-validator-identifier-7.24.5.tgz", + "integrity": "sha512-3q93SSKX2TWCG30M2G2kwaKeTYgEUp5Snjuj8qm729SObL6nbtUldAi37qbxkD5gg3xnBio+f9nqpSepGZMvxA==", "engines": { "node": ">=6.9.0" } @@ -338,24 +358,24 @@ } }, "node_modules/@babel/helpers": { - "version": "7.24.4", - "resolved": "https://registry.npmjs.org/@babel/helpers/-/helpers-7.24.4.tgz", - "integrity": "sha512-FewdlZbSiwaVGlgT1DPANDuCHaDMiOo+D/IDYRFYjHOuv66xMSJ7fQwwODwRNAPkADIO/z1EoF/l2BCWlWABDw==", + "version": "7.24.5", + "resolved": "https://registry.npmjs.org/@babel/helpers/-/helpers-7.24.5.tgz", + "integrity": "sha512-CiQmBMMpMQHwM5m01YnrM6imUG1ebgYJ+fAIW4FZe6m4qHTPaRHti+R8cggAwkdz4oXhtO4/K9JWlh+8hIfR2Q==", "dependencies": { "@babel/template": "^7.24.0", - "@babel/traverse": "^7.24.1", - "@babel/types": "^7.24.0" + "@babel/traverse": "^7.24.5", + "@babel/types": "^7.24.5" }, "engines": { "node": ">=6.9.0" } }, "node_modules/@babel/highlight": { - "version": "7.24.2", - "resolved": "https://registry.npmjs.org/@babel/highlight/-/highlight-7.24.2.tgz", - "integrity": "sha512-Yac1ao4flkTxTteCDZLEvdxg2fZfz1v8M4QpaGypq/WPDqg3ijHYbDfs+LG5hvzSoqaSZ9/Z9lKSP3CjZjv+pA==", + "version": "7.24.5", + "resolved": "https://registry.npmjs.org/@babel/highlight/-/highlight-7.24.5.tgz", + "integrity": "sha512-8lLmua6AVh/8SLJRRVD6V8p73Hir9w5mJrhE+IPpILG31KKlI9iz5zmBYKcWPS59qSfgP9RaSBQSHHE81WKuEw==", "dependencies": { - "@babel/helper-validator-identifier": "^7.22.20", + "@babel/helper-validator-identifier": "^7.24.5", "chalk": "^2.4.2", "js-tokens": "^4.0.0", "picocolors": "^1.0.0" @@ -365,9 +385,9 @@ } }, "node_modules/@babel/parser": { - "version": "7.24.4", - "resolved": "https://registry.npmjs.org/@babel/parser/-/parser-7.24.4.tgz", - "integrity": "sha512-zTvEBcghmeBma9QIGunWevvBAp4/Qu9Bdq+2k0Ot4fVMD6v3dsC9WOcRSKk7tRRyBM/53yKMJko9xOatGQAwSg==", + "version": "7.24.5", + "resolved": "https://registry.npmjs.org/@babel/parser/-/parser-7.24.5.tgz", + "integrity": "sha512-EOv5IK8arwh3LI47dz1b0tKUb/1uhHAnHJOrjgtQMIpu1uXd9mlFrJg9IUgGUgZ41Ch0K8REPTYpO7B76b4vJg==", "bin": { "parser": "bin/babel-parser.js" }, @@ -376,9 +396,9 @@ } }, "node_modules/@babel/runtime": { - "version": "7.24.4", - "resolved": "https://registry.npmjs.org/@babel/runtime/-/runtime-7.24.4.tgz", - "integrity": "sha512-dkxf7+hn8mFBwKjs9bvBlArzLVxVbS8usaPUDd5p2a9JCL9tB8OaOVN1isD4+Xyk4ns89/xeOmbQvgdK7IIVdA==", + "version": "7.24.5", + "resolved": "https://registry.npmjs.org/@babel/runtime/-/runtime-7.24.5.tgz", + "integrity": "sha512-Nms86NXrsaeU9vbBJKni6gXiEXZ4CVpYVzEjDH9Sb8vmZ3UljyA1GSOJl/6LGPO8EHLuSF9H+IxNXHPX8QHJ4g==", "dependencies": { "regenerator-runtime": "^0.14.0" }, @@ -400,18 +420,18 @@ } }, "node_modules/@babel/traverse": { - "version": "7.24.1", - "resolved": "https://registry.npmjs.org/@babel/traverse/-/traverse-7.24.1.tgz", - "integrity": "sha512-xuU6o9m68KeqZbQuDt2TcKSxUw/mrsvavlEqQ1leZ/B+C9tk6E4sRWy97WaXgvq5E+nU3cXMxv3WKOCanVMCmQ==", + "version": "7.24.5", + "resolved": "https://registry.npmjs.org/@babel/traverse/-/traverse-7.24.5.tgz", + "integrity": "sha512-7aaBLeDQ4zYcUFDUD41lJc1fG8+5IU9DaNSJAgal866FGvmD5EbWQgnEC6kO1gGLsX0esNkfnJSndbTXA3r7UA==", "dependencies": { - "@babel/code-frame": "^7.24.1", - "@babel/generator": "^7.24.1", + "@babel/code-frame": "^7.24.2", + "@babel/generator": "^7.24.5", "@babel/helper-environment-visitor": "^7.22.20", "@babel/helper-function-name": "^7.23.0", "@babel/helper-hoist-variables": "^7.22.5", - "@babel/helper-split-export-declaration": "^7.22.6", - "@babel/parser": "^7.24.1", - "@babel/types": "^7.24.0", + "@babel/helper-split-export-declaration": "^7.24.5", + "@babel/parser": "^7.24.5", + "@babel/types": "^7.24.5", "debug": "^4.3.1", "globals": "^11.1.0" }, @@ -420,18 +440,52 @@ } }, "node_modules/@babel/types": { - "version": "7.24.0", - "resolved": "https://registry.npmjs.org/@babel/types/-/types-7.24.0.tgz", - "integrity": "sha512-+j7a5c253RfKh8iABBhywc8NSfP5LURe7Uh4qpsh6jc+aLJguvmIUBdjSdEMQv2bENrCR5MfRdjGo7vzS/ob7w==", + "version": "7.24.5", + "resolved": "https://registry.npmjs.org/@babel/types/-/types-7.24.5.tgz", + "integrity": "sha512-6mQNsaLeXTw0nxYUYu+NSa4Hx4BlF1x1x8/PMFbiR+GBSr+2DkECc69b8hgy2frEodNcvPffeH8YfWd3LI6jhQ==", "dependencies": { - "@babel/helper-string-parser": "^7.23.4", - "@babel/helper-validator-identifier": "^7.22.20", + "@babel/helper-string-parser": "^7.24.1", + "@babel/helper-validator-identifier": "^7.24.5", "to-fast-properties": "^2.0.0" }, "engines": { "node": ">=6.9.0" } }, + "node_modules/@clack/core": { + "version": "0.3.4", + "resolved": "https://registry.npmjs.org/@clack/core/-/core-0.3.4.tgz", + "integrity": "sha512-H4hxZDXgHtWTwV3RAVenqcC4VbJZNegbBjlPvzOzCouXtS2y3sDvlO3IsbrPNWuLWPPlYVYPghQdSF64683Ldw==", + "dependencies": { + "picocolors": "^1.0.0", + "sisteransi": "^1.0.5" + } + }, + "node_modules/@clack/prompts": { + "version": "0.7.0", + "resolved": "https://registry.npmjs.org/@clack/prompts/-/prompts-0.7.0.tgz", + "integrity": "sha512-0MhX9/B4iL6Re04jPrttDm+BsP8y6mS7byuv0BvXgdXhbV5PdlsHt55dvNsuBCPZ7xq1oTAOOuotR9NFbQyMSA==", + "bundleDependencies": [ + "is-unicode-supported" + ], + "dependencies": { + "@clack/core": "^0.3.3", + "is-unicode-supported": "*", + "picocolors": "^1.0.0", + "sisteransi": "^1.0.5" + } + }, + "node_modules/@clack/prompts/node_modules/is-unicode-supported": { + "version": "1.3.0", + "inBundle": true, + "license": "MIT", + "engines": { + "node": ">=12" + }, + "funding": { + "url": "https://github.com/sponsors/sindresorhus" + } + }, "node_modules/@esbuild/aix-ppc64": { "version": "0.20.2", "resolved": "https://registry.npmjs.org/@esbuild/aix-ppc64/-/aix-ppc64-0.20.2.tgz", @@ -871,28 +925,28 @@ } }, "node_modules/@floating-ui/core": { - "version": "1.6.0", - "resolved": "https://registry.npmjs.org/@floating-ui/core/-/core-1.6.0.tgz", - "integrity": "sha512-PcF++MykgmTj3CIyOQbKA/hDzOAiqI3mhuoN44WRCopIs1sgoDoU4oty4Jtqaj/y3oDU6fnVSm4QG0a3t5i0+g==", + "version": "1.6.2", + "resolved": "https://registry.npmjs.org/@floating-ui/core/-/core-1.6.2.tgz", + "integrity": "sha512-+2XpQV9LLZeanU4ZevzRnGFg2neDeKHgFLjP6YLW+tly0IvrhqT4u8enLGjLH3qeh85g19xY5rsAusfwTdn5lg==", "dependencies": { - "@floating-ui/utils": "^0.2.1" + "@floating-ui/utils": "^0.2.0" } }, "node_modules/@floating-ui/dom": { - "version": "1.6.3", - "resolved": "https://registry.npmjs.org/@floating-ui/dom/-/dom-1.6.3.tgz", - "integrity": "sha512-RnDthu3mzPlQ31Ss/BTwQ1zjzIhr3lk1gZB1OC56h/1vEtaXkESrOqL5fQVMfXpwGtRwX+YsZBdyHtJMQnkArw==", + "version": "1.6.5", + "resolved": "https://registry.npmjs.org/@floating-ui/dom/-/dom-1.6.5.tgz", + "integrity": "sha512-Nsdud2X65Dz+1RHjAIP0t8z5e2ff/IRbei6BqFrl1urT8sDVzM1HMQ+R0XcU5ceRfyO3I6ayeqIfh+6Wb8LGTw==", "dependencies": { "@floating-ui/core": "^1.0.0", "@floating-ui/utils": "^0.2.0" } }, "node_modules/@floating-ui/react-dom": { - "version": "2.0.8", - "resolved": "https://registry.npmjs.org/@floating-ui/react-dom/-/react-dom-2.0.8.tgz", - "integrity": "sha512-HOdqOt3R3OGeTKidaLvJKcgg75S6tibQ3Tif4eyd91QnIJWr0NLvoXFpJA/j8HqkFSL68GDca9AuyWEHlhyClw==", + "version": "2.1.0", + "resolved": "https://registry.npmjs.org/@floating-ui/react-dom/-/react-dom-2.1.0.tgz", + "integrity": "sha512-lNzj5EQmEKn5FFKc04+zasr09h/uX8RtJRNj5gUXsSQIXHVWTVh+hVAg1vOMCexkX8EgvemMvIFpQfkosnVNyA==", "dependencies": { - "@floating-ui/dom": "^1.6.1" + "@floating-ui/dom": "^1.0.0" }, "peerDependencies": { "react": ">=16.8.0", @@ -900,9 +954,9 @@ } }, "node_modules/@floating-ui/utils": { - "version": "0.2.1", - "resolved": "https://registry.npmjs.org/@floating-ui/utils/-/utils-0.2.1.tgz", - "integrity": "sha512-9TANp6GPoMtYzQdt54kfAyMmz1+osLlXdg2ENroU7zzrtflTLrrC/lgrIfaSe+Wu0b89GKccT7vxXA0MoAIO+Q==" + "version": "0.2.2", + "resolved": "https://registry.npmjs.org/@floating-ui/utils/-/utils-0.2.2.tgz", + "integrity": "sha512-J4yDIIthosAsRZ5CPYP/jQvUAQtlZTTD/4suA08/FEnlxqW3sKS9iAhgsa9VYLZ6vDHn/ixJgIqRQPotoBjxIw==" }, "node_modules/@headlessui/react": { "version": "1.7.19", @@ -920,6 +974,14 @@ "react-dom": "^16 || ^17 || ^18" } }, + "node_modules/@hookform/resolvers": { + "version": "3.4.2", + "resolved": "https://registry.npmjs.org/@hookform/resolvers/-/resolvers-3.4.2.tgz", + "integrity": "sha512-1m9uAVIO8wVf7VCDAGsuGA0t6Z3m6jVGAN50HkV9vYLl0yixKK/Z1lr01vaRvYCkIKGoy1noVRxMzQYb4y/j1Q==", + "peerDependencies": { + "react-hook-form": "^7.0.0" + } + }, "node_modules/@humanwhocodes/config-array": { "version": "0.11.14", "resolved": "https://registry.npmjs.org/@humanwhocodes/config-array/-/config-array-0.11.14.tgz", @@ -1002,6 +1064,38 @@ "url": "https://github.com/chalk/ansi-regex?sponsor=1" } }, + "node_modules/@isaacs/cliui/node_modules/ansi-styles": { + "version": "6.2.1", + "resolved": "https://registry.npmjs.org/ansi-styles/-/ansi-styles-6.2.1.tgz", + "integrity": "sha512-bN798gFfQX+viw3R7yrGWRqnrN2oRkEkUjjl4JNn4E8GxxbjtG3FbrEIIY3l8/hrwUwIeCZvi4QuOTP4MErVug==", + "engines": { + "node": ">=12" + }, + "funding": { + "url": "https://github.com/chalk/ansi-styles?sponsor=1" + } + }, + "node_modules/@isaacs/cliui/node_modules/emoji-regex": { + "version": "9.2.2", + "resolved": "https://registry.npmjs.org/emoji-regex/-/emoji-regex-9.2.2.tgz", + "integrity": "sha512-L18DaJsXSUk2+42pv8mLs5jJT2hqFkFE4j21wOmgbUqsZ2hL72NsUU785g9RXgo3s0ZNgVl42TiHp3ZtOv/Vyg==" + }, + "node_modules/@isaacs/cliui/node_modules/string-width": { + "version": "5.1.2", + "resolved": "https://registry.npmjs.org/string-width/-/string-width-5.1.2.tgz", + "integrity": "sha512-HnLOCR3vjcY8beoNLtcjZ5/nxn2afmME6lhrDrebokqMap+XbeW8n9TXpPDOqdGK5qcI3oT0GKTW6wC7EMiVqA==", + "dependencies": { + "eastasianwidth": "^0.2.0", + "emoji-regex": "^9.2.2", + "strip-ansi": "^7.0.1" + }, + "engines": { + "node": ">=12" + }, + "funding": { + "url": "https://github.com/sponsors/sindresorhus" + } + }, "node_modules/@isaacs/cliui/node_modules/strip-ansi": { "version": "7.1.0", "resolved": "https://registry.npmjs.org/strip-ansi/-/strip-ansi-7.1.0.tgz", @@ -1016,6 +1110,22 @@ "url": "https://github.com/chalk/strip-ansi?sponsor=1" } }, + "node_modules/@isaacs/cliui/node_modules/wrap-ansi": { + "version": "8.1.0", + "resolved": "https://registry.npmjs.org/wrap-ansi/-/wrap-ansi-8.1.0.tgz", + "integrity": "sha512-si7QWI6zUMq56bESFvagtmzMdGOtoxfR+Sez11Mobfc7tm+VkUckk9bW2UeffTGVUbOksxmSw0AA2gs8g71NCQ==", + "dependencies": { + "ansi-styles": "^6.1.0", + "string-width": "^5.0.1", + "strip-ansi": "^7.0.1" + }, + "engines": { + "node": ">=12" + }, + "funding": { + "url": "https://github.com/chalk/wrap-ansi?sponsor=1" + } + }, "node_modules/@jridgewell/gen-mapping": { "version": "0.3.5", "resolved": "https://registry.npmjs.org/@jridgewell/gen-mapping/-/gen-mapping-0.3.5.tgz", @@ -1059,6 +1169,57 @@ "@jridgewell/sourcemap-codec": "^1.4.14" } }, + "node_modules/@mapbox/node-pre-gyp": { + "version": "1.0.11", + "resolved": "https://registry.npmjs.org/@mapbox/node-pre-gyp/-/node-pre-gyp-1.0.11.tgz", + "integrity": "sha512-Yhlar6v9WQgUp/He7BdgzOz8lqMQ8sU+jkCq7Wx8Myc5YFJLbEe7lgui/V7G1qB1DJykHSGwreceSaD60Y0PUQ==", + "optional": true, + "dependencies": { + "detect-libc": "^2.0.0", + "https-proxy-agent": "^5.0.0", + "make-dir": "^3.1.0", + "node-fetch": "^2.6.7", + "nopt": "^5.0.0", + "npmlog": "^5.0.1", + "rimraf": "^3.0.2", + "semver": "^7.3.5", + "tar": "^6.1.11" + }, + "bin": { + "node-pre-gyp": "bin/node-pre-gyp" + } + }, + "node_modules/@mapbox/node-pre-gyp/node_modules/semver": { + "version": "7.6.2", + "resolved": "https://registry.npmjs.org/semver/-/semver-7.6.2.tgz", + "integrity": "sha512-FNAIBWCx9qcRhoHcgcJ0gvU7SN1lYU2ZXuSfl04bSC5OpvDHFyJCjdNHomPXxjQlCBU67YW64PzY7/VIEH7F2w==", + "optional": true, + "bin": { + "semver": "bin/semver.js" + }, + "engines": { + "node": ">=10" + } + }, + "node_modules/@million/install": { + "version": "0.0.3", + "resolved": "https://registry.npmjs.org/@million/install/-/install-0.0.3.tgz", + "integrity": "sha512-yK8NgP+73+Tby/bmQ12B96bJ7RjsLazLtFgBed1Fg1WfTCCpHTILq79yQMSD/OWgm1tt1NYV4ELaTRM6wZOeAg==", + "dependencies": { + "@antfu/ni": "^0.21.12", + "@axiomhq/js": "1.0.0-rc.3", + "@babel/core": "^7.24.5", + "@babel/types": "^7.23.6", + "@clack/prompts": "^0.7.0", + "cli-high": "^0.4.1", + "diff": "^5.1.0", + "posthog-node": "^3.6.3", + "xycolors": "^0.1.1" + }, + "bin": { + "install": "bin/index.js" + } + }, "node_modules/@million/lint": { "version": "0.0.73", "resolved": "https://registry.npmjs.org/@million/lint/-/lint-0.0.73.tgz", @@ -1759,12 +1920,12 @@ } }, "node_modules/@playwright/test": { - "version": "1.43.1", - "resolved": "https://registry.npmjs.org/@playwright/test/-/test-1.43.1.tgz", - "integrity": "sha512-HgtQzFgNEEo4TE22K/X7sYTYNqEMMTZmFS8kTq6m8hXj+m1D8TgwgIbumHddJa9h4yl4GkKb8/bgAl2+g7eDgA==", + "version": "1.44.0", + "resolved": "https://registry.npmjs.org/@playwright/test/-/test-1.44.0.tgz", + "integrity": "sha512-rNX5lbNidamSUorBhB4XZ9SQTjAqfe5M+p37Z8ic0jPFBMo5iCtQz1kRWkEMg+rYOKSlVycpQmpqjSFq7LXOfg==", "dev": true, "dependencies": { - "playwright": "1.43.1" + "playwright": "1.44.0" }, "bin": { "playwright": "cli.js" @@ -2789,11 +2950,11 @@ } }, "node_modules/@reactflow/background": { - "version": "11.3.11", - "resolved": "https://registry.npmjs.org/@reactflow/background/-/background-11.3.11.tgz", - "integrity": "sha512-27ahQyHuX2YTc1lABvAPpd5JWBH5P3qTHLGOO+Qfqq4mbicwQ0UGQ2bVDWDwoHOyep2EuMuphrLttaMr0hiviw==", + "version": "11.3.13", + "resolved": "https://registry.npmjs.org/@reactflow/background/-/background-11.3.13.tgz", + "integrity": "sha512-hkvpVEhgvfTDyCvdlitw4ioKCYLaaiRXnuEG+1QM3Np+7N1DiWF1XOv5I8AFyNoJL07yXEkbECUTsHvkBvcG5A==", "dependencies": { - "@reactflow/core": "11.11.1", + "@reactflow/core": "11.11.3", "classcat": "^5.0.3", "zustand": "^4.4.1" }, @@ -2803,11 +2964,11 @@ } }, "node_modules/@reactflow/controls": { - "version": "11.2.11", - "resolved": "https://registry.npmjs.org/@reactflow/controls/-/controls-11.2.11.tgz", - "integrity": "sha512-FyqQv5pWEc2ycEGgIaLPmD5ezW3chsNwqMCjBMETxRj45R4uy6j+gDNi5EgURCan7T12uvoFeQopSZ96JL8XDQ==", + "version": "11.2.13", + "resolved": "https://registry.npmjs.org/@reactflow/controls/-/controls-11.2.13.tgz", + "integrity": "sha512-3xgEg6ALIVkAQCS4NiBjb7ad8Cb3D8CtA7Vvl4Hf5Ar2PIVs6FOaeft9s2iDZGtsWP35ECDYId1rIFVhQL8r+A==", "dependencies": { - "@reactflow/core": "11.11.1", + "@reactflow/core": "11.11.3", "classcat": "^5.0.3", "zustand": "^4.4.1" }, @@ -2817,9 +2978,9 @@ } }, "node_modules/@reactflow/core": { - "version": "11.11.1", - "resolved": "https://registry.npmjs.org/@reactflow/core/-/core-11.11.1.tgz", - "integrity": "sha512-O9f/q9SZ+29am/XdoZgm/LTdkgQdypcVj9a1yZZgcS6rVDkij1yIiOT3nkGxwnNkJz0rwCn2xtL5SkK038AQ7w==", + "version": "11.11.3", + "resolved": "https://registry.npmjs.org/@reactflow/core/-/core-11.11.3.tgz", + "integrity": "sha512-+adHdUa7fJSEM93fWfjQwyWXeI92a1eLKwWbIstoCakHpL8UjzwhEh6sn+mN2h/59MlVI7Ehr1iGTt3MsfcIFA==", "dependencies": { "@types/d3": "^7.4.0", "@types/d3-drag": "^3.0.1", @@ -2837,11 +2998,11 @@ } }, "node_modules/@reactflow/minimap": { - "version": "11.7.11", - "resolved": "https://registry.npmjs.org/@reactflow/minimap/-/minimap-11.7.11.tgz", - "integrity": "sha512-zXxv+IExvWuaZ+gmRIfmU09A+slG9rMKTVfjqd+ewFV4LFcCyMNMIx3gZybdLZtgUDKIOoU/hAWIY+FbU7GTKw==", + "version": "11.7.13", + "resolved": "https://registry.npmjs.org/@reactflow/minimap/-/minimap-11.7.13.tgz", + "integrity": "sha512-m2MvdiGSyOu44LEcERDEl1Aj6x//UQRWo3HEAejNU4HQTlJnYrSN8tgrYF8TxC1+c/9UdyzQY5VYgrTwW4QWdg==", "dependencies": { - "@reactflow/core": "11.11.1", + "@reactflow/core": "11.11.3", "@types/d3-selection": "^3.0.3", "@types/d3-zoom": "^3.0.1", "classcat": "^5.0.3", @@ -2855,11 +3016,11 @@ } }, "node_modules/@reactflow/node-resizer": { - "version": "2.2.11", - "resolved": "https://registry.npmjs.org/@reactflow/node-resizer/-/node-resizer-2.2.11.tgz", - "integrity": "sha512-g/5iLo5vPBoFozU+2WXub+mbpNkQhR+PRX9o0YvH/lYs1pS7JYFSzCOHdHpLHAImoCGrKY1XN5scYly36jWkDw==", + "version": "2.2.13", + "resolved": "https://registry.npmjs.org/@reactflow/node-resizer/-/node-resizer-2.2.13.tgz", + "integrity": "sha512-X7ceQ2s3jFLgbkg03n2RYr4hm3jTVrzkW2W/8ANv/SZfuVmF8XJxlERuD8Eka5voKqLda0ywIZGAbw9GoHLfUQ==", "dependencies": { - "@reactflow/core": "11.11.1", + "@reactflow/core": "11.11.3", "classcat": "^5.0.4", "d3-drag": "^3.0.0", "d3-selection": "^3.0.0", @@ -2871,11 +3032,11 @@ } }, "node_modules/@reactflow/node-toolbar": { - "version": "1.3.11", - "resolved": "https://registry.npmjs.org/@reactflow/node-toolbar/-/node-toolbar-1.3.11.tgz", - "integrity": "sha512-PKcTrtC88WZjNQz4ACnPgbNDBprsLJVDxyV1x8drGMNRePPrErkUNxsbhrr49L8ffmIavd4kxW5XVNOx8Kswmw==", + "version": "1.3.13", + "resolved": "https://registry.npmjs.org/@reactflow/node-toolbar/-/node-toolbar-1.3.13.tgz", + "integrity": "sha512-aknvNICO10uWdthFSpgD6ctY/CTBeJUMV9co8T9Ilugr08Nb89IQ4uD0dPmr031ewMQxixtYIkw+sSDDzd2aaQ==", "dependencies": { - "@reactflow/core": "11.11.1", + "@reactflow/core": "11.11.3", "classcat": "^5.0.3", "zustand": "^4.4.1" }, @@ -2885,9 +3046,9 @@ } }, "node_modules/@remix-run/router": { - "version": "1.15.3", - "resolved": "https://registry.npmjs.org/@remix-run/router/-/router-1.15.3.tgz", - "integrity": "sha512-Oy8rmScVrVxWZVOpEF57ovlnhpZ8CCPlnIIumVcV9nFdiSIrus99+Lw78ekXyGvVDlIsFJbSfmSovJUhCWYV3w==", + "version": "1.16.1", + "resolved": "https://registry.npmjs.org/@remix-run/router/-/router-1.16.1.tgz", + "integrity": "sha512-es2g3dq6Nb07iFxGk5GuHN20RwBZOsuDQN7izWIisUcv9r+d2C5jQxqmgkdebXgReWfiyUabcki6Fg77mSNrig==", "engines": { "node": ">=14.0.0" } @@ -3169,26 +3330,11 @@ } } }, - "node_modules/@swc/cli/node_modules/lru-cache": { - "version": "6.0.0", - "resolved": "https://registry.npmjs.org/lru-cache/-/lru-cache-6.0.0.tgz", - "integrity": "sha512-Jo6dJ04CmSjuznwJSS3pUeWmd/H0ffTlkXXgwZi+eq1UCmqQwCh+eLsYOYCwY991i2Fah4h1BEMCx4qThGbsiA==", - "dev": true, - "dependencies": { - "yallist": "^4.0.0" - }, - "engines": { - "node": ">=10" - } - }, "node_modules/@swc/cli/node_modules/semver": { - "version": "7.6.0", - "resolved": "https://registry.npmjs.org/semver/-/semver-7.6.0.tgz", - "integrity": "sha512-EnwXhrlwXMk9gKu5/flx5sv/an57AkRplG3hTK68W7FRDN+k+OWBj65M7719OkA82XLBxrcX0KSHj+X5COhOVg==", + "version": "7.6.2", + "resolved": "https://registry.npmjs.org/semver/-/semver-7.6.2.tgz", + "integrity": "sha512-FNAIBWCx9qcRhoHcgcJ0gvU7SN1lYU2ZXuSfl04bSC5OpvDHFyJCjdNHomPXxjQlCBU67YW64PzY7/VIEH7F2w==", "dev": true, - "dependencies": { - "lru-cache": "^6.0.0" - }, "bin": { "semver": "bin/semver.js" }, @@ -3196,21 +3342,15 @@ "node": ">=10" } }, - "node_modules/@swc/cli/node_modules/yallist": { - "version": "4.0.0", - "resolved": "https://registry.npmjs.org/yallist/-/yallist-4.0.0.tgz", - "integrity": "sha512-3wdGidZyq5PB084XLES5TpOSRA3wjXAlIWMhum2kRcv/41Sn2emQ0dycQW4uZXLejwKvg6EsvbdlVL+FYEct7A==", - "dev": true - }, "node_modules/@swc/core": { - "version": "1.4.16", - "resolved": "https://registry.npmjs.org/@swc/core/-/core-1.4.16.tgz", - "integrity": "sha512-Xaf+UBvW6JNuV131uvSNyMXHn+bh6LyKN4tbv7tOUFQpXyz/t9YWRE04emtlUW9Y0qrm/GKFCbY8n3z6BpZbTA==", + "version": "1.5.7", + "resolved": "https://registry.npmjs.org/@swc/core/-/core-1.5.7.tgz", + "integrity": "sha512-U4qJRBefIJNJDRCCiVtkfa/hpiZ7w0R6kASea+/KLp+vkus3zcLSB8Ub8SvKgTIxjWpwsKcZlPf5nrv4ls46SQ==", "dev": true, "hasInstallScript": true, "dependencies": { "@swc/counter": "^0.1.2", - "@swc/types": "^0.1.5" + "@swc/types": "0.1.7" }, "engines": { "node": ">=10" @@ -3220,16 +3360,16 @@ "url": "https://opencollective.com/swc" }, "optionalDependencies": { - "@swc/core-darwin-arm64": "1.4.16", - "@swc/core-darwin-x64": "1.4.16", - "@swc/core-linux-arm-gnueabihf": "1.4.16", - "@swc/core-linux-arm64-gnu": "1.4.16", - "@swc/core-linux-arm64-musl": "1.4.16", - "@swc/core-linux-x64-gnu": "1.4.16", - "@swc/core-linux-x64-musl": "1.4.16", - "@swc/core-win32-arm64-msvc": "1.4.16", - "@swc/core-win32-ia32-msvc": "1.4.16", - "@swc/core-win32-x64-msvc": "1.4.16" + "@swc/core-darwin-arm64": "1.5.7", + "@swc/core-darwin-x64": "1.5.7", + "@swc/core-linux-arm-gnueabihf": "1.5.7", + "@swc/core-linux-arm64-gnu": "1.5.7", + "@swc/core-linux-arm64-musl": "1.5.7", + "@swc/core-linux-x64-gnu": "1.5.7", + "@swc/core-linux-x64-musl": "1.5.7", + "@swc/core-win32-arm64-msvc": "1.5.7", + "@swc/core-win32-ia32-msvc": "1.5.7", + "@swc/core-win32-x64-msvc": "1.5.7" }, "peerDependencies": { "@swc/helpers": "^0.5.0" @@ -3241,9 +3381,9 @@ } }, "node_modules/@swc/core-darwin-arm64": { - "version": "1.4.16", - "resolved": "https://registry.npmjs.org/@swc/core-darwin-arm64/-/core-darwin-arm64-1.4.16.tgz", - "integrity": "sha512-UOCcH1GvjRnnM/LWT6VCGpIk0OhHRq6v1U6QXuPt5wVsgXnXQwnf5k3sG5Cm56hQHDvhRPY6HCsHi/p0oek8oQ==", + "version": "1.5.7", + "resolved": "https://registry.npmjs.org/@swc/core-darwin-arm64/-/core-darwin-arm64-1.5.7.tgz", + "integrity": "sha512-bZLVHPTpH3h6yhwVl395k0Mtx8v6CGhq5r4KQdAoPbADU974Mauz1b6ViHAJ74O0IVE5vyy7tD3OpkQxL/vMDQ==", "cpu": [ "arm64" ], @@ -3257,9 +3397,9 @@ } }, "node_modules/@swc/core-darwin-x64": { - "version": "1.4.16", - "resolved": "https://registry.npmjs.org/@swc/core-darwin-x64/-/core-darwin-x64-1.4.16.tgz", - "integrity": "sha512-t3bgqFoYLWvyVtVL6KkFNCINEoOrIlyggT/kJRgi1y0aXSr0oVgcrQ4ezJpdeahZZ4N+Q6vT3ffM30yIunELNA==", + "version": "1.5.7", + "resolved": "https://registry.npmjs.org/@swc/core-darwin-x64/-/core-darwin-x64-1.5.7.tgz", + "integrity": "sha512-RpUyu2GsviwTc2qVajPL0l8nf2vKj5wzO3WkLSHAHEJbiUZk83NJrZd1RVbEknIMO7+Uyjh54hEh8R26jSByaw==", "cpu": [ "x64" ], @@ -3273,9 +3413,9 @@ } }, "node_modules/@swc/core-linux-arm-gnueabihf": { - "version": "1.4.16", - "resolved": "https://registry.npmjs.org/@swc/core-linux-arm-gnueabihf/-/core-linux-arm-gnueabihf-1.4.16.tgz", - "integrity": "sha512-DvHuwvEF86YvSd0lwnzVcjOTZ0jcxewIbsN0vc/0fqm9qBdMMjr9ox6VCam1n3yYeRtj4VFgrjeNFksqbUejdQ==", + "version": "1.5.7", + "resolved": "https://registry.npmjs.org/@swc/core-linux-arm-gnueabihf/-/core-linux-arm-gnueabihf-1.5.7.tgz", + "integrity": "sha512-cTZWTnCXLABOuvWiv6nQQM0hP6ZWEkzdgDvztgHI/+u/MvtzJBN5lBQ2lue/9sSFYLMqzqff5EHKlFtrJCA9dQ==", "cpu": [ "arm" ], @@ -3289,9 +3429,9 @@ } }, "node_modules/@swc/core-linux-arm64-gnu": { - "version": "1.4.16", - "resolved": "https://registry.npmjs.org/@swc/core-linux-arm64-gnu/-/core-linux-arm64-gnu-1.4.16.tgz", - "integrity": "sha512-9Uu5YlPbyCvbidjKtYEsPpyZlu16roOZ5c2tP1vHfnU9bgf5Tz5q5VovSduNxPHx+ed2iC1b1URODHvDzbbDuQ==", + "version": "1.5.7", + "resolved": "https://registry.npmjs.org/@swc/core-linux-arm64-gnu/-/core-linux-arm64-gnu-1.5.7.tgz", + "integrity": "sha512-hoeTJFBiE/IJP30Be7djWF8Q5KVgkbDtjySmvYLg9P94bHg9TJPSQoC72tXx/oXOgXvElDe/GMybru0UxhKx4g==", "cpu": [ "arm64" ], @@ -3305,9 +3445,9 @@ } }, "node_modules/@swc/core-linux-arm64-musl": { - "version": "1.4.16", - "resolved": "https://registry.npmjs.org/@swc/core-linux-arm64-musl/-/core-linux-arm64-musl-1.4.16.tgz", - "integrity": "sha512-/YZq/qB1CHpeoL0eMzyqK5/tYZn/rzKoCYDviFU4uduSUIJsDJQuQA/skdqUzqbheOXKAd4mnJ1hT04RbJ8FPQ==", + "version": "1.5.7", + "resolved": "https://registry.npmjs.org/@swc/core-linux-arm64-musl/-/core-linux-arm64-musl-1.5.7.tgz", + "integrity": "sha512-+NDhK+IFTiVK1/o7EXdCeF2hEzCiaRSrb9zD7X2Z7inwWlxAntcSuzZW7Y6BRqGQH89KA91qYgwbnjgTQ22PiQ==", "cpu": [ "arm64" ], @@ -3321,9 +3461,9 @@ } }, "node_modules/@swc/core-linux-x64-gnu": { - "version": "1.4.16", - "resolved": "https://registry.npmjs.org/@swc/core-linux-x64-gnu/-/core-linux-x64-gnu-1.4.16.tgz", - "integrity": "sha512-UUjaW5VTngZYDcA8yQlrFmqs1tLi1TxbKlnaJwoNhel9zRQ0yG1YEVGrzTvv4YApSuIiDK18t+Ip927bwucuVQ==", + "version": "1.5.7", + "resolved": "https://registry.npmjs.org/@swc/core-linux-x64-gnu/-/core-linux-x64-gnu-1.5.7.tgz", + "integrity": "sha512-25GXpJmeFxKB+7pbY7YQLhWWjkYlR+kHz5I3j9WRl3Lp4v4UD67OGXwPe+DIcHqcouA1fhLhsgHJWtsaNOMBNg==", "cpu": [ "x64" ], @@ -3337,9 +3477,9 @@ } }, "node_modules/@swc/core-linux-x64-musl": { - "version": "1.4.16", - "resolved": "https://registry.npmjs.org/@swc/core-linux-x64-musl/-/core-linux-x64-musl-1.4.16.tgz", - "integrity": "sha512-aFhxPifevDTwEDKPi4eRYWzC0p/WYJeiFkkpNU5Uc7a7M5iMWPAbPFUbHesdlb9Jfqs5c07oyz86u+/HySBNPQ==", + "version": "1.5.7", + "resolved": "https://registry.npmjs.org/@swc/core-linux-x64-musl/-/core-linux-x64-musl-1.5.7.tgz", + "integrity": "sha512-0VN9Y5EAPBESmSPPsCJzplZHV26akC0sIgd3Hc/7S/1GkSMoeuVL+V9vt+F/cCuzr4VidzSkqftdP3qEIsXSpg==", "cpu": [ "x64" ], @@ -3353,9 +3493,9 @@ } }, "node_modules/@swc/core-win32-arm64-msvc": { - "version": "1.4.16", - "resolved": "https://registry.npmjs.org/@swc/core-win32-arm64-msvc/-/core-win32-arm64-msvc-1.4.16.tgz", - "integrity": "sha512-bTD43MbhIHL2s5QgCwyleaGwl96Gk/scF2TaVKdUe4QlJCDV/YK9h5oIBAp63ckHtE8GHlH4c8dZNBiAXn4Org==", + "version": "1.5.7", + "resolved": "https://registry.npmjs.org/@swc/core-win32-arm64-msvc/-/core-win32-arm64-msvc-1.5.7.tgz", + "integrity": "sha512-RtoNnstBwy5VloNCvmvYNApkTmuCe4sNcoYWpmY7C1+bPR+6SOo8im1G6/FpNem8AR5fcZCmXHWQ+EUmRWJyuA==", "cpu": [ "arm64" ], @@ -3369,9 +3509,9 @@ } }, "node_modules/@swc/core-win32-ia32-msvc": { - "version": "1.4.16", - "resolved": "https://registry.npmjs.org/@swc/core-win32-ia32-msvc/-/core-win32-ia32-msvc-1.4.16.tgz", - "integrity": "sha512-/lmZeAN/qV5XbK2SEvi8e2RkIg8FQNYiSA8y2/Zb4gTUMKVO5JMLH0BSWMiIKMstKDPDSxMWgwJaQHF8UMyPmQ==", + "version": "1.5.7", + "resolved": "https://registry.npmjs.org/@swc/core-win32-ia32-msvc/-/core-win32-ia32-msvc-1.5.7.tgz", + "integrity": "sha512-Xm0TfvcmmspvQg1s4+USL3x8D+YPAfX2JHygvxAnCJ0EHun8cm2zvfNBcsTlnwYb0ybFWXXY129aq1wgFC9TpQ==", "cpu": [ "ia32" ], @@ -3385,9 +3525,9 @@ } }, "node_modules/@swc/core-win32-x64-msvc": { - "version": "1.4.16", - "resolved": "https://registry.npmjs.org/@swc/core-win32-x64-msvc/-/core-win32-x64-msvc-1.4.16.tgz", - "integrity": "sha512-BPAfFfODWXtUu6SwaTTftDHvcbDyWBSI/oanUeRbQR5vVWkXoQ3cxLTsDluc3H74IqXS5z1Uyoe0vNo2hB1opA==", + "version": "1.5.7", + "resolved": "https://registry.npmjs.org/@swc/core-win32-x64-msvc/-/core-win32-x64-msvc-1.5.7.tgz", + "integrity": "sha512-tp43WfJLCsKLQKBmjmY/0vv1slVywR5Q4qKjF5OIY8QijaEW7/8VwPyUyVoJZEnDgv9jKtUTG5PzqtIYPZGnyg==", "cpu": [ "x64" ], @@ -3407,9 +3547,9 @@ "dev": true }, "node_modules/@swc/types": { - "version": "0.1.6", - "resolved": "https://registry.npmjs.org/@swc/types/-/types-0.1.6.tgz", - "integrity": "sha512-/JLo/l2JsT/LRd80C3HfbmVpxOAJ11FO2RCEslFrgzLltoP9j8XIbsyDcfCt2WWyX+CM96rBoNM+IToAkFOugg==", + "version": "0.1.7", + "resolved": "https://registry.npmjs.org/@swc/types/-/types-0.1.7.tgz", + "integrity": "sha512-scHWahbHF0eyj3JsxG9CFJgFdFNaVQCNAimBlT6PzS3n/HptxqREjsm4OH6AN3lYcffZYSPxXW8ua2BEHp0lJQ==", "dev": true, "dependencies": { "@swc/counter": "^0.1.3" @@ -3472,9 +3612,9 @@ } }, "node_modules/@tailwindcss/typography": { - "version": "0.5.12", - "resolved": "https://registry.npmjs.org/@tailwindcss/typography/-/typography-0.5.12.tgz", - "integrity": "sha512-CNwpBpconcP7ppxmuq3qvaCxiRWnbhANpY/ruH4L5qs2GCiVDJXde/pjj2HWPV1+Q4G9+V/etrwUYopdcjAlyg==", + "version": "0.5.13", + "resolved": "https://registry.npmjs.org/@tailwindcss/typography/-/typography-0.5.13.tgz", + "integrity": "sha512-ADGcJ8dX21dVVHIwTRgzrcunY6YY9uSlAHHGVKvkA+vLc5qLwEszvKts40lx7z0qc4clpjclwLeK5rVCV2P/uw==", "dev": true, "dependencies": { "lodash.castarray": "^4.4.0", @@ -3487,11 +3627,11 @@ } }, "node_modules/@tanstack/react-virtual": { - "version": "3.4.0", - "resolved": "https://registry.npmjs.org/@tanstack/react-virtual/-/react-virtual-3.4.0.tgz", - "integrity": "sha512-GZN4xn/Tg5w7gvYeVcMVCeL4pEyUhvg+Cp6KX2Z01C4FRNxIWMgIQ9ibgMarNQfo+gt0PVLcEER4A9sNv/jlow==", + "version": "3.5.0", + "resolved": "https://registry.npmjs.org/@tanstack/react-virtual/-/react-virtual-3.5.0.tgz", + "integrity": "sha512-rtvo7KwuIvqK9zb0VZ5IL7fiJAEnG+0EiFZz8FUOs+2mhGqdGmjKIaT1XU7Zq0eFqL0jonLlhbayJI/J2SA/Bw==", "dependencies": { - "@tanstack/virtual-core": "3.4.0" + "@tanstack/virtual-core": "3.5.0" }, "funding": { "type": "github", @@ -3503,18 +3643,18 @@ } }, "node_modules/@tanstack/virtual-core": { - "version": "3.4.0", - "resolved": "https://registry.npmjs.org/@tanstack/virtual-core/-/virtual-core-3.4.0.tgz", - "integrity": "sha512-75jXqXxqq5M5Veb9KP1STi8kA5u408uOOAefk2ftHDGCpUk3RP6zX++QqfbmHJTBiU72NQ+ghgCZVts/Wocz8Q==", + "version": "3.5.0", + "resolved": "https://registry.npmjs.org/@tanstack/virtual-core/-/virtual-core-3.5.0.tgz", + "integrity": "sha512-KnPRCkQTyqhanNC0K63GBG3wA8I+D1fQuVnAvcBF8f13akOKeQp1gSbu6f77zCxhEk727iV5oQnbHLYzHrECLg==", "funding": { "type": "github", "url": "https://github.com/sponsors/tannerlinsley" } }, "node_modules/@testing-library/dom": { - "version": "10.0.0", - "resolved": "https://registry.npmjs.org/@testing-library/dom/-/dom-10.0.0.tgz", - "integrity": "sha512-PmJPnogldqoVFf+EwbHvbBJ98MmqASV8kLrBYgsDNxQcFMeIS7JFL48sfyXvuMtgmWO/wMhh25odr+8VhDmn4g==", + "version": "10.1.0", + "resolved": "https://registry.npmjs.org/@testing-library/dom/-/dom-10.1.0.tgz", + "integrity": "sha512-wdsYKy5zupPyLCW2Je5DLHSxSfbIp6h80WoHOQc+RPtmPGA52O9x5MJEkv92Sjonpq+poOAtUKhh1kBGAXBrNA==", "dev": true, "peer": true, "dependencies": { @@ -3867,6 +4007,20 @@ "url": "https://github.com/sponsors/isaacs" } }, + "node_modules/@ts-morph/common/node_modules/mkdirp": { + "version": "2.1.6", + "resolved": "https://registry.npmjs.org/mkdirp/-/mkdirp-2.1.6.tgz", + "integrity": "sha512-+hEnITedc8LAtIP9u3HJDFIdcLV2vXP33sqLLIzkv1Db1zO/1OxbvYf0Y1OC/S/Qo5dxHXepofhmxL02PsKe+A==", + "bin": { + "mkdirp": "dist/cjs/src/bin.js" + }, + "engines": { + "node": ">=10" + }, + "funding": { + "url": "https://github.com/sponsors/isaacs" + } + }, "node_modules/@types/aria-query": { "version": "5.0.4", "resolved": "https://registry.npmjs.org/@types/aria-query/-/aria-query-5.0.4.tgz", @@ -4187,9 +4341,9 @@ } }, "node_modules/@types/lodash": { - "version": "4.17.0", - "resolved": "https://registry.npmjs.org/@types/lodash/-/lodash-4.17.0.tgz", - "integrity": "sha512-t7dhREVv6dbNj0q17X12j7yDG4bD/DHYX7o5/DbDxobP0HnGPgpRz2Ej77aL7TZT3DSw13fqUTj8J4mMnqa7WA==", + "version": "4.17.4", + "resolved": "https://registry.npmjs.org/@types/lodash/-/lodash-4.17.4.tgz", + "integrity": "sha512-wYCP26ZLxaT3R39kiN2+HcJ4kTd3U1waI/cY7ivWYqFP6pW3ZNpvi6Wd6PHZx7T/t8z0vlkXMg3QYLa7DZ/IJQ==", "dev": true }, "node_modules/@types/mathjax": { @@ -4211,9 +4365,9 @@ "integrity": "sha512-nG96G3Wp6acyAgJqGasjODb+acrI7KltPiRxzHPXnP3NgI28bpQDRv53olbqGXbfcgF5aiiHmO3xpwEpS5Ld9g==" }, "node_modules/@types/node": { - "version": "16.18.96", - "resolved": "https://registry.npmjs.org/@types/node/-/node-16.18.96.tgz", - "integrity": "sha512-84iSqGXoO+Ha16j8pRZ/L90vDMKX04QTYMTfYeE1WrjWaZXuchBehGUZEpNgx7JnmlrIHdnABmpjrQjhCnNldQ==", + "version": "16.18.97", + "resolved": "https://registry.npmjs.org/@types/node/-/node-16.18.97.tgz", + "integrity": "sha512-4muilE1Lbfn57unR+/nT9AFjWk0MtWi5muwCEJqnOvfRQDbSfLCUdN7vCIg8TYuaANfhLOV85ve+FNpiUsbSRg==", "devOptional": true }, "node_modules/@types/prop-types": { @@ -4222,18 +4376,18 @@ "integrity": "sha512-5zvhXYtRNRluoE/jAp4GVsSduVUzNWKkOZrCDBWYtE7biZywwdC2AcEzg+cSMLFRfVgeAFqpfNabiPjxFddV1Q==" }, "node_modules/@types/react": { - "version": "18.2.79", - "resolved": "https://registry.npmjs.org/@types/react/-/react-18.2.79.tgz", - "integrity": "sha512-RwGAGXPl9kSXwdNTafkOEuFrTBD5SA2B3iEB96xi8+xu5ddUa/cpvyVCSNn+asgLCTHkb5ZxN8gbuibYJi4s1w==", + "version": "18.3.2", + "resolved": "https://registry.npmjs.org/@types/react/-/react-18.3.2.tgz", + "integrity": "sha512-Btgg89dAnqD4vV7R3hlwOxgqobUQKgx3MmrQRi0yYbs/P0ym8XozIAlkqVilPqHQwXs4e9Tf63rrCgl58BcO4w==", "dependencies": { "@types/prop-types": "*", "csstype": "^3.0.2" } }, "node_modules/@types/react-dom": { - "version": "18.2.25", - "resolved": "https://registry.npmjs.org/@types/react-dom/-/react-dom-18.2.25.tgz", - "integrity": "sha512-o/V48vf4MQh7juIKZU2QGDfli6p1+OOi5oXx36Hffpc9adsHeXjVp8rHuPkjd8VT8sOJ2Zp05HR7CdpGTIUFUA==", + "version": "18.3.0", + "resolved": "https://registry.npmjs.org/@types/react-dom/-/react-dom-18.3.0.tgz", + "integrity": "sha512-EhwApuTmMBmXuFOikhQLIBUn6uFg81SwLMOAUgodJF14SOBOCMdU04gDoYi0WOJJHD144TL32z4yDqCW3dnkQg==", "devOptional": true, "dependencies": { "@types/react": "*" @@ -4275,12 +4429,12 @@ "dev": true }, "node_modules/@vitejs/plugin-react-swc": { - "version": "3.6.0", - "resolved": "https://registry.npmjs.org/@vitejs/plugin-react-swc/-/plugin-react-swc-3.6.0.tgz", - "integrity": "sha512-XFRbsGgpGxGzEV5i5+vRiro1bwcIaZDIdBRP16qwm+jP68ue/S8FJTBEgOeojtVDYrbSua3XFp71kC8VJE6v+g==", + "version": "3.7.0", + "resolved": "https://registry.npmjs.org/@vitejs/plugin-react-swc/-/plugin-react-swc-3.7.0.tgz", + "integrity": "sha512-yrknSb3Dci6svCd/qhHqhFPDSw0QtjumcqdKMoNNzmOl5lMXTTiqzjWtG4Qask2HdvvzaNgSunbQGet8/GrKdA==", "dev": true, "dependencies": { - "@swc/core": "^1.3.107" + "@swc/core": "^1.5.7" }, "peerDependencies": { "vite": "^4 || ^5" @@ -4292,10 +4446,16 @@ "integrity": "sha512-j2afSsaIENvHZN2B8GOpF566vZ5WVk5opAiMTvWgaQT8DkbOqsTfvNAvHoRGU2zzP8cPoqys+xHTRDWW8L+/BA==", "deprecated": "Use your platform's native atob() and btoa() methods instead" }, + "node_modules/abbrev": { + "version": "1.1.1", + "resolved": "https://registry.npmjs.org/abbrev/-/abbrev-1.1.1.tgz", + "integrity": "sha512-nne9/IiQ/hzIhY6pdDnbBtz7DjPTKrY00P/zvPSm5pOFkl6xuGrGnXn/VtTNNfNtAfZ9/1RtehkszU9qcTii0Q==", + "optional": true + }, "node_modules/ace-builds": { - "version": "1.33.0", - "resolved": "https://registry.npmjs.org/ace-builds/-/ace-builds-1.33.0.tgz", - "integrity": "sha512-PDvytkZNvAfuh+PaP5Oy3l3sBGd7xMk4NsB+4w/w1e3gjBqEOGeJwcX+wF/SB6mLtT3VfJLrhDNPT3eaCjtR3w==" + "version": "1.34.0", + "resolved": "https://registry.npmjs.org/ace-builds/-/ace-builds-1.34.0.tgz", + "integrity": "sha512-ZQqoV76wl4guDE5zvEnxCDrvy9gzLAwu7eD4ikYj/Gdlb4+qRLbb+aOFVnweZZRsHh089V0WVaw2NMNuiiEdTw==" }, "node_modules/acorn": { "version": "8.11.3", @@ -4334,6 +4494,24 @@ "node": ">=0.4.0" } }, + "node_modules/ag-grid-community": { + "version": "31.3.2", + "resolved": "https://registry.npmjs.org/ag-grid-community/-/ag-grid-community-31.3.2.tgz", + "integrity": "sha512-GxqFRD0OcjaVRE1gwLgoP0oERNPH8Lk8wKJ1txulsxysEQ5dZWHhiIoXXSiHjvOCVMkK/F5qzY6HNrn6VeDMTQ==" + }, + "node_modules/ag-grid-react": { + "version": "31.3.2", + "resolved": "https://registry.npmjs.org/ag-grid-react/-/ag-grid-react-31.3.2.tgz", + "integrity": "sha512-SFHN05bsXp901rIT00Fa6iQLCtyavoJiKaXEDUtAU5LMu+GTkjs/FPQBQ8754omgdDFr4NsS3Ri6QbqBne3rug==", + "dependencies": { + "ag-grid-community": "31.3.2", + "prop-types": "^15.8.1" + }, + "peerDependencies": { + "react": "^16.3.0 || ^17.0.0 || ^18.0.0", + "react-dom": "^16.3.0 || ^17.0.0 || ^18.0.0" + } + }, "node_modules/agent-base": { "version": "6.0.2", "resolved": "https://registry.npmjs.org/agent-base/-/agent-base-6.0.2.tgz", @@ -4411,6 +4589,12 @@ "node": ">= 8" } }, + "node_modules/aproba": { + "version": "2.0.0", + "resolved": "https://registry.npmjs.org/aproba/-/aproba-2.0.0.tgz", + "integrity": "sha512-lYe4Gx7QT+MKGbDsA+Z+he/Wtef0BiwDOlK/XkBrdfsh9J/jPPXbX0tE9x9cl27Tmu5gg3QUbUrQYa/y+KOHPQ==", + "optional": true + }, "node_modules/arch": { "version": "2.2.0", "resolved": "https://registry.npmjs.org/arch/-/arch-2.2.0.tgz", @@ -4431,6 +4615,20 @@ } ] }, + "node_modules/are-we-there-yet": { + "version": "2.0.0", + "resolved": "https://registry.npmjs.org/are-we-there-yet/-/are-we-there-yet-2.0.0.tgz", + "integrity": "sha512-Ci/qENmwHnsYo9xKIcUJN5LeDKdJ6R1Z1j9V/J5wyq8nh/mYPEpIKJbBZXtZjG04HiK7zV/p6Vs9952MrMeUIw==", + "deprecated": "This package is no longer supported.", + "optional": true, + "dependencies": { + "delegates": "^1.0.0", + "readable-stream": "^3.6.0" + }, + "engines": { + "node": ">=10" + } + }, "node_modules/arg": { "version": "5.0.2", "resolved": "https://registry.npmjs.org/arg/-/arg-5.0.2.tgz", @@ -4535,9 +4733,9 @@ } }, "node_modules/axios": { - "version": "1.6.8", - "resolved": "https://registry.npmjs.org/axios/-/axios-1.6.8.tgz", - "integrity": "sha512-v/ZHtJDU39mDpyBoFVkETcd/uNdxrWRrg3bKpOKzXFA6Bvqopts6ALSMU3y6ijYxbw2B+wPrIv46egTzJXCLGQ==", + "version": "1.7.2", + "resolved": "https://registry.npmjs.org/axios/-/axios-1.7.2.tgz", + "integrity": "sha512-2A8QhOMrbomlDuiLeK9XibIBzuHeRcqqNOHp0Cyp5EoJ1IFDh+XZH3A6BkXtv0K4gFGCI0Y4BM7B1wOEi0Rmgw==", "dependencies": { "follow-redirects": "^1.15.6", "form-data": "^4.0.0", @@ -4623,26 +4821,11 @@ "url": "https://github.com/sponsors/sindresorhus" } }, - "node_modules/bin-version-check/node_modules/lru-cache": { - "version": "6.0.0", - "resolved": "https://registry.npmjs.org/lru-cache/-/lru-cache-6.0.0.tgz", - "integrity": "sha512-Jo6dJ04CmSjuznwJSS3pUeWmd/H0ffTlkXXgwZi+eq1UCmqQwCh+eLsYOYCwY991i2Fah4h1BEMCx4qThGbsiA==", - "dev": true, - "dependencies": { - "yallist": "^4.0.0" - }, - "engines": { - "node": ">=10" - } - }, "node_modules/bin-version-check/node_modules/semver": { - "version": "7.6.0", - "resolved": "https://registry.npmjs.org/semver/-/semver-7.6.0.tgz", - "integrity": "sha512-EnwXhrlwXMk9gKu5/flx5sv/an57AkRplG3hTK68W7FRDN+k+OWBj65M7719OkA82XLBxrcX0KSHj+X5COhOVg==", + "version": "7.6.2", + "resolved": "https://registry.npmjs.org/semver/-/semver-7.6.2.tgz", + "integrity": "sha512-FNAIBWCx9qcRhoHcgcJ0gvU7SN1lYU2ZXuSfl04bSC5OpvDHFyJCjdNHomPXxjQlCBU67YW64PzY7/VIEH7F2w==", "dev": true, - "dependencies": { - "lru-cache": "^6.0.0" - }, "bin": { "semver": "bin/semver.js" }, @@ -4650,12 +4833,6 @@ "node": ">=10" } }, - "node_modules/bin-version-check/node_modules/yallist": { - "version": "4.0.0", - "resolved": "https://registry.npmjs.org/yallist/-/yallist-4.0.0.tgz", - "integrity": "sha512-3wdGidZyq5PB084XLES5TpOSRA3wjXAlIWMhum2kRcv/41Sn2emQ0dycQW4uZXLejwKvg6EsvbdlVL+FYEct7A==", - "dev": true - }, "node_modules/bin-version/node_modules/execa": { "version": "5.1.1", "resolved": "https://registry.npmjs.org/execa/-/execa-5.1.1.tgz", @@ -4745,11 +4922,11 @@ } }, "node_modules/braces": { - "version": "3.0.2", - "resolved": "https://registry.npmjs.org/braces/-/braces-3.0.2.tgz", - "integrity": "sha512-b8um+L1RzM3WDSzvhm6gIz1yfTbBt6YTlcEKAvsmqCZZFw46z626lVj9j1yEPW33H5H+lBQpZMP1k8l+78Ha0A==", + "version": "3.0.3", + "resolved": "https://registry.npmjs.org/braces/-/braces-3.0.3.tgz", + "integrity": "sha512-yQbXgO/OSZVD2IsiLlro+7Hf6Q18EJrKSEsdoMzKePKXct3gvD8oLcOQdIzGupr5Fj+EDe8gO/lxc1BzfMpxvA==", "dependencies": { - "fill-range": "^7.0.1" + "fill-range": "^7.1.1" }, "engines": { "node": ">=8" @@ -4898,9 +5075,9 @@ } }, "node_modules/caniuse-lite": { - "version": "1.0.30001611", - "resolved": "https://registry.npmjs.org/caniuse-lite/-/caniuse-lite-1.0.30001611.tgz", - "integrity": "sha512-19NuN1/3PjA3QI8Eki55N8my4LzfkMCRLgCVfrl/slbSAchQfV0+GwjPrK3rq37As4UCLlM/DHajbKkAqbv92Q==", + "version": "1.0.30001621", + "resolved": "https://registry.npmjs.org/caniuse-lite/-/caniuse-lite-1.0.30001621.tgz", + "integrity": "sha512-+NLXZiviFFKX0fk8Piwv3PfLPGtRqJeq2TiNoUff/qB5KJgwecJTvCXDpmlyP/eCI/GUEmp/h/y5j0yckiiZrA==", "funding": [ { "type": "opencollective", @@ -4916,6 +5093,21 @@ } ] }, + "node_modules/canvas": { + "version": "2.11.2", + "resolved": "https://registry.npmjs.org/canvas/-/canvas-2.11.2.tgz", + "integrity": "sha512-ItanGBMrmRV7Py2Z+Xhs7cT+FNt5K0vPL4p9EZ/UX/Mu7hFbkxSjKF2KVtPwX7UYWp7dRKnrTvReflgrItJbdw==", + "hasInstallScript": true, + "optional": true, + "dependencies": { + "@mapbox/node-pre-gyp": "^1.0.0", + "nan": "^2.17.0", + "simple-get": "^3.0.3" + }, + "engines": { + "node": ">=6" + } + }, "node_modules/ccount": { "version": "2.0.1", "resolved": "https://registry.npmjs.org/ccount/-/ccount-2.0.1.tgz", @@ -4999,6 +5191,15 @@ "node": ">= 6" } }, + "node_modules/chownr": { + "version": "2.0.0", + "resolved": "https://registry.npmjs.org/chownr/-/chownr-2.0.0.tgz", + "integrity": "sha512-bIomtDF5KGpdogkLd9VspvFzk9KfpyyGlS8YFVZl7TGPBHL5snIOnxeshwVgPteQ9b4Eydl+pVbIyE1DcvCWgQ==", + "optional": true, + "engines": { + "node": ">=10" + } + }, "node_modules/class-variance-authority": { "version": "0.6.1", "resolved": "https://registry.npmjs.org/class-variance-authority/-/class-variance-authority-0.6.1.tgz", @@ -5029,6 +5230,24 @@ "url": "https://github.com/sponsors/sindresorhus" } }, + "node_modules/cli-high": { + "version": "0.4.1", + "resolved": "https://registry.npmjs.org/cli-high/-/cli-high-0.4.1.tgz", + "integrity": "sha512-fPbkILfCVG6mfxbsJbJZQsKE5JmfgJNlfBxap52XHXjLwPDhs/OMFVFrNR7bqiavZt2r5A80+wiRHzJyzWqwEQ==", + "hasInstallScript": true, + "dependencies": { + "@clack/prompts": "^0.7.0", + "sugar-high": "^0.6.1", + "xycolors": "^0.1.1", + "yargs": "^17.7.2" + }, + "bin": { + "cli-high": "bin/index.js" + }, + "funding": { + "url": "https://github.com/sponsors/xinyao27" + } + }, "node_modules/cli-spinners": { "version": "2.9.2", "resolved": "https://registry.npmjs.org/cli-spinners/-/cli-spinners-2.9.2.tgz", @@ -5045,6 +5264,19 @@ "resolved": "https://registry.npmjs.org/client-only/-/client-only-0.0.1.tgz", "integrity": "sha512-IV3Ou0jSMzZrd3pZ48nLkT9DA7Ag1pnPzaiQhpW7c3RbcqqzvzzVu+L8gfqMp/8IM2MQtSiqaCxrrcfu8I8rMA==" }, + "node_modules/cliui": { + "version": "8.0.1", + "resolved": "https://registry.npmjs.org/cliui/-/cliui-8.0.1.tgz", + "integrity": "sha512-BSeNnyus75C4//NQ9gQt1/csTXyo/8Sb+afLAkzAptFuMsod9HFokGNudZpi/oQV73hnVK+sR+5PVRMd+Dr7YQ==", + "dependencies": { + "string-width": "^4.2.0", + "strip-ansi": "^6.0.1", + "wrap-ansi": "^7.0.0" + }, + "engines": { + "node": ">=12" + } + }, "node_modules/clone": { "version": "1.0.4", "resolved": "https://registry.npmjs.org/clone/-/clone-1.0.4.tgz", @@ -5104,6 +5336,15 @@ "resolved": "https://registry.npmjs.org/color-name/-/color-name-1.1.3.tgz", "integrity": "sha512-72fSenhMw2HZMTVHeCA9KCmpEIbzWiQsjN+BHcBbS9vr1mtt+vJjPdksIBNUmKAW8TFUDPJK5SUU3QhE9NEXDw==" }, + "node_modules/color-support": { + "version": "1.1.3", + "resolved": "https://registry.npmjs.org/color-support/-/color-support-1.1.3.tgz", + "integrity": "sha512-qiBjkpbMLO/HL68y+lh4q0/O1MZFj2RX6X/KmMa3+gJD3z+WwI1ZzDHysvqHGS3mP6mznPckpXmw1nI9cJjyRg==", + "optional": true, + "bin": { + "color-support": "bin.js" + } + }, "node_modules/combined-stream": { "version": "1.0.8", "resolved": "https://registry.npmjs.org/combined-stream/-/combined-stream-1.0.8.tgz", @@ -5137,7 +5378,13 @@ "version": "0.0.1", "resolved": "https://registry.npmjs.org/concat-map/-/concat-map-0.0.1.tgz", "integrity": "sha512-/Srv4dswyQNBfohGpz9o6Yb3Gz3SrUDqBH5rTuhGR7ahtlbYKnVxw2bCFMRljaA7EXHaXZ8wsHdodFvbkhKmqg==", - "dev": true + "devOptional": true + }, + "node_modules/console-control-strings": { + "version": "1.1.0", + "resolved": "https://registry.npmjs.org/console-control-strings/-/console-control-strings-1.1.0.tgz", + "integrity": "sha512-ty/fTekppD2fIwRvnZAVdeOiGd1c7YXEixbgJTNzqcxJWKQnjJ/V1bNEEE6hygpM3WjwHFUVK6HTjWSzV4a8sQ==", + "optional": true }, "node_modules/content-disposition": { "version": "0.5.4", @@ -5361,9 +5608,9 @@ } }, "node_modules/daisyui": { - "version": "4.10.2", - "resolved": "https://registry.npmjs.org/daisyui/-/daisyui-4.10.2.tgz", - "integrity": "sha512-eCWS1W/JPyxW9IvlgW5m0R6rp9ZhRsBTW37rvEUthckkjsV04u8XipV519OoccSA46ixhSJa3q7XLI1WUFtRCA==", + "version": "4.11.1", + "resolved": "https://registry.npmjs.org/daisyui/-/daisyui-4.11.1.tgz", + "integrity": "sha512-obT9CUbQdW6eoHwSeT5VwaRrWlwrM4OT5qlfdJ0oQlSIEYhwnEl2+L2fwu5PioLbitwuMdYC2X8I1cyy8Pf6LQ==", "dev": true, "dependencies": { "css-selector-tokenizer": "^0.8", @@ -5592,6 +5839,12 @@ "node": ">=0.4.0" } }, + "node_modules/delegates": { + "version": "1.0.0", + "resolved": "https://registry.npmjs.org/delegates/-/delegates-1.0.0.tgz", + "integrity": "sha512-bd2L678uiWATM6m5Z1VzNCErI3jiGzt6HGY8OVICs40JQq/HALfbyNJmp0UDakEY4pMMaN0Ly5om/B1VI/+xfQ==", + "optional": true + }, "node_modules/dequal": { "version": "2.0.3", "resolved": "https://registry.npmjs.org/dequal/-/dequal-2.0.3.tgz", @@ -5600,6 +5853,15 @@ "node": ">=6" } }, + "node_modules/detect-libc": { + "version": "2.0.3", + "resolved": "https://registry.npmjs.org/detect-libc/-/detect-libc-2.0.3.tgz", + "integrity": "sha512-bwy0MGW55bG41VqxxypOsdSdGqLwXPI/focwgTYCFMbdUiBAxLg9CFzG08sz2aqzknwiX7Hkl0bQENjg8iLByw==", + "optional": true, + "engines": { + "node": ">=8" + } + }, "node_modules/detect-node-es": { "version": "1.1.0", "resolved": "https://registry.npmjs.org/detect-node-es/-/detect-node-es-1.1.0.tgz", @@ -5668,9 +5930,9 @@ } }, "node_modules/dompurify": { - "version": "3.1.0", - "resolved": "https://registry.npmjs.org/dompurify/-/dompurify-3.1.0.tgz", - "integrity": "sha512-yoU4rhgPKCo+p5UrWWWNKiIq+ToGqmVVhk0PmMYBK4kRsR3/qhemNFL8f6CFmBd4gMwm3F4T7HBoydP5uY07fA==" + "version": "3.1.4", + "resolved": "https://registry.npmjs.org/dompurify/-/dompurify-3.1.4.tgz", + "integrity": "sha512-2gnshi6OshmuKil8rMZuQCGiUF3cUxHY3NGDzUAdUx/NPEe5DVnO8BDoAQouvgwnx0R/+a6jUn36Z0FSdq8vww==" }, "node_modules/dot-case": { "version": "3.0.4", @@ -5698,14 +5960,14 @@ "integrity": "sha512-I88TYZWc9XiYHRQ4/3c5rjjfgkjhLyW2luGIheGERbNQ6OY7yTybanSpDXZa8y7VUP9YmDcYa+eyq4ca7iLqWA==" }, "node_modules/electron-to-chromium": { - "version": "1.4.744", - "resolved": "https://registry.npmjs.org/electron-to-chromium/-/electron-to-chromium-1.4.744.tgz", - "integrity": "sha512-nAGcF0yeKKfrP13LMFr5U1eghfFSvFLg302VUFzWlcjPOnUYd52yU5x6PBYrujhNbc4jYmZFrGZFK+xasaEzVA==" + "version": "1.4.778", + "resolved": "https://registry.npmjs.org/electron-to-chromium/-/electron-to-chromium-1.4.778.tgz", + "integrity": "sha512-C6q/xcUJf/2yODRxAVCfIk4j3y3LMsD0ehiE2RQNV2cxc8XU62gR6vvYh3+etSUzlgTfil+qDHI1vubpdf0TOA==" }, "node_modules/emoji-regex": { - "version": "9.2.2", - "resolved": "https://registry.npmjs.org/emoji-regex/-/emoji-regex-9.2.2.tgz", - "integrity": "sha512-L18DaJsXSUk2+42pv8mLs5jJT2hqFkFE4j21wOmgbUqsZ2hL72NsUU785g9RXgo3s0ZNgVl42TiHp3ZtOv/Vyg==" + "version": "8.0.0", + "resolved": "https://registry.npmjs.org/emoji-regex/-/emoji-regex-8.0.0.tgz", + "integrity": "sha512-MSjYzcWNOA0ewAHpz0MxpYFvwg6yjy1NG3xteoqz644VCo/RPgnr1/GGt+ic3iJTzQ8Eu3TdM14SawnVUmGE6A==" }, "node_modules/end-of-stream": { "version": "1.4.4", @@ -6435,6 +6697,11 @@ "node": "^12.20 || >= 14.13" } }, + "node_modules/fetch-retry": { + "version": "6.0.0", + "resolved": "https://registry.npmjs.org/fetch-retry/-/fetch-retry-6.0.0.tgz", + "integrity": "sha512-BUFj1aMubgib37I3v4q78fYo63Po7t4HUPTpQ6/QE6yK6cIQrP+W43FYToeTEyg5m2Y7eFUtijUuAv/PDlWuag==" + }, "node_modules/file-entry-cache": { "version": "6.0.1", "resolved": "https://registry.npmjs.org/file-entry-cache/-/file-entry-cache-6.0.1.tgz", @@ -6447,6 +6714,11 @@ "node": "^10.12.0 || >=12.0.0" } }, + "node_modules/file-saver": { + "version": "2.0.5", + "resolved": "https://registry.npmjs.org/file-saver/-/file-saver-2.0.5.tgz", + "integrity": "sha512-P9bmyZ3h/PRG+Nzga+rbdI4OEpNDzAVyy74uVO9ATgzLK6VtAsYybF/+TOCvrc0MO793d6+42lLyZTw7/ArVzA==" + }, "node_modules/file-type": { "version": "17.1.6", "resolved": "https://registry.npmjs.org/file-type/-/file-type-17.1.6.tgz", @@ -6494,9 +6766,9 @@ } }, "node_modules/fill-range": { - "version": "7.0.1", - "resolved": "https://registry.npmjs.org/fill-range/-/fill-range-7.0.1.tgz", - "integrity": "sha512-qOo9F+dMUmC2Lcb4BbVvnKJxTPjCm+RRpe4gDuGrzkL7mEVl/djYSu2OdQ2Pa302N4oqkSg9ir6jaLWJ2USVpQ==", + "version": "7.1.1", + "resolved": "https://registry.npmjs.org/fill-range/-/fill-range-7.1.1.tgz", + "integrity": "sha512-YsGpe3WHLK8ZYi4tWDg2Jy3ebRz2rXowDxnld4bkQB00cc/1Zw9AWnC0i9ztDJitivtQvaI9KaLyKrc+hBW0yg==", "dependencies": { "to-regex-range": "^5.0.1" }, @@ -6655,9 +6927,9 @@ } }, "node_modules/framer-motion": { - "version": "11.1.7", - "resolved": "https://registry.npmjs.org/framer-motion/-/framer-motion-11.1.7.tgz", - "integrity": "sha512-cW11Pu53eDAXUEhv5hEiWuIXWhfkbV32PlgVISn7jRdcAiVrJ1S03YQQ0/DzoswGYYwKi4qYmHHjCzAH52eSdQ==", + "version": "11.2.6", + "resolved": "https://registry.npmjs.org/framer-motion/-/framer-motion-11.2.6.tgz", + "integrity": "sha512-XUrjjBt57e5YoHQtjwc3eNchFBuHvIgN/cS8SC4oIaAn2J/0+bLanUxXizidJKZVeHJam/JrmMnPRjYMglVn5g==", "dependencies": { "tslib": "^2.4.0" }, @@ -6691,11 +6963,41 @@ "node": ">=14.14" } }, + "node_modules/fs-minipass": { + "version": "2.1.0", + "resolved": "https://registry.npmjs.org/fs-minipass/-/fs-minipass-2.1.0.tgz", + "integrity": "sha512-V/JgOLFCS+R6Vcq0slCuaeWEdNC3ouDlJMNIsacH2VtALiu9mV4LPrHc5cDl8k5aw6J8jwgWWpiTo5RYhmIzvg==", + "optional": true, + "dependencies": { + "minipass": "^3.0.0" + }, + "engines": { + "node": ">= 8" + } + }, + "node_modules/fs-minipass/node_modules/minipass": { + "version": "3.3.6", + "resolved": "https://registry.npmjs.org/minipass/-/minipass-3.3.6.tgz", + "integrity": "sha512-DxiNidxSEK+tHG6zOIklvNOwm3hvCrbUrdtzY74U6HKTJxvIDfOUL5W5P2Ghd3DTkhhKPYGqeNUIh5qcM4YBfw==", + "optional": true, + "dependencies": { + "yallist": "^4.0.0" + }, + "engines": { + "node": ">=8" + } + }, + "node_modules/fs-minipass/node_modules/yallist": { + "version": "4.0.0", + "resolved": "https://registry.npmjs.org/yallist/-/yallist-4.0.0.tgz", + "integrity": "sha512-3wdGidZyq5PB084XLES5TpOSRA3wjXAlIWMhum2kRcv/41Sn2emQ0dycQW4uZXLejwKvg6EsvbdlVL+FYEct7A==", + "optional": true + }, "node_modules/fs.realpath": { "version": "1.0.0", "resolved": "https://registry.npmjs.org/fs.realpath/-/fs.realpath-1.0.0.tgz", "integrity": "sha512-OO0pH2lK6a0hZnAdau5ItzHPI6pUlvI7jMVnxUQRtw4owF2wk8lOSabtGDCTP4Ggrg2MbGnWO9X8K1t4+fGMDw==", - "dev": true + "devOptional": true }, "node_modules/fsevents": { "version": "2.3.2", @@ -6727,6 +7029,27 @@ "url": "https://github.com/sponsors/ljharb" } }, + "node_modules/gauge": { + "version": "3.0.2", + "resolved": "https://registry.npmjs.org/gauge/-/gauge-3.0.2.tgz", + "integrity": "sha512-+5J6MS/5XksCuXq++uFRsnUd7Ovu1XenbeuIuNRJxYWjgQbPuFhT14lAvsWfqfAmnwluf1OwMjz39HjfLPci0Q==", + "deprecated": "This package is no longer supported.", + "optional": true, + "dependencies": { + "aproba": "^1.0.3 || ^2.0.0", + "color-support": "^1.1.2", + "console-control-strings": "^1.0.0", + "has-unicode": "^2.0.1", + "object-assign": "^4.1.1", + "signal-exit": "^3.0.0", + "string-width": "^4.2.3", + "strip-ansi": "^6.0.1", + "wide-align": "^1.1.2" + }, + "engines": { + "node": ">=10" + } + }, "node_modules/gensync": { "version": "1.0.0-beta.2", "resolved": "https://registry.npmjs.org/gensync/-/gensync-1.0.0-beta.2.tgz", @@ -6735,6 +7058,14 @@ "node": ">=6.9.0" } }, + "node_modules/get-caller-file": { + "version": "2.0.5", + "resolved": "https://registry.npmjs.org/get-caller-file/-/get-caller-file-2.0.5.tgz", + "integrity": "sha512-DyFP3BM/3YHTQOCUL/w0OZHR0lpKeGrxotcHWcqNEdnltqFwXVfhEBQ94eIo34AfQpo0rGki4cyIiftY06h2Fg==", + "engines": { + "node": "6.* || 8.* || >= 10.*" + } + }, "node_modules/get-intrinsic": { "version": "1.2.4", "resolved": "https://registry.npmjs.org/get-intrinsic/-/get-intrinsic-1.2.4.tgz", @@ -6775,7 +7106,7 @@ "version": "7.2.3", "resolved": "https://registry.npmjs.org/glob/-/glob-7.2.3.tgz", "integrity": "sha512-nFR0zLpU2YCaRxwoCJvL6UvCH2JFyFVIvwTLsIf21AuHlMskA1hhTdk+LlYJtOlYt9v6dvszD2BGRqBL+iQK9Q==", - "dev": true, + "devOptional": true, "dependencies": { "fs.realpath": "^1.0.0", "inflight": "^1.0.4", @@ -6806,7 +7137,7 @@ "version": "1.1.11", "resolved": "https://registry.npmjs.org/brace-expansion/-/brace-expansion-1.1.11.tgz", "integrity": "sha512-iCuPHDFgrHX7H2vEI/5xpz07zSHB00TpugqhmYtVmMO6518mCuRMoOYFldEBl0g187ufozdaHgWKcYFb61qGiA==", - "dev": true, + "devOptional": true, "dependencies": { "balanced-match": "^1.0.0", "concat-map": "0.0.1" @@ -6816,7 +7147,7 @@ "version": "3.1.2", "resolved": "https://registry.npmjs.org/minimatch/-/minimatch-3.1.2.tgz", "integrity": "sha512-J7p63hRiAjw1NDEww1W7i37+ByIrOWO5XQQAzZ3VOcL0PNybwpfmV/N05zFAzwQ9USyEcX6t3UO+K5aqBQOIHw==", - "dev": true, + "devOptional": true, "dependencies": { "brace-expansion": "^1.1.7" }, @@ -6948,6 +7279,12 @@ "url": "https://github.com/sponsors/ljharb" } }, + "node_modules/has-unicode": { + "version": "2.0.1", + "resolved": "https://registry.npmjs.org/has-unicode/-/has-unicode-2.0.1.tgz", + "integrity": "sha512-8Rf9Y83NBReMnx0gFzA8JImQACstCYWUplepDa9xprwwtmgEZUF0h/i5xSA625zB/I37EtrswSST6OXxwaaIJQ==", + "optional": true + }, "node_modules/hasown": { "version": "2.0.2", "resolved": "https://registry.npmjs.org/hasown/-/hasown-2.0.2.tgz", @@ -7253,7 +7590,7 @@ "version": "1.0.6", "resolved": "https://registry.npmjs.org/inflight/-/inflight-1.0.6.tgz", "integrity": "sha512-k92I/b08q4wvFscXCLvqfsHCrjrF7yiXsQuIVvVE7N82W3+aqpzuUdBbfhWcy/FZR3/4IgflMgKLOsvPDrGCJA==", - "dev": true, + "devOptional": true, "dependencies": { "once": "^1.3.0", "wrappy": "1" @@ -7705,9 +8042,9 @@ } }, "node_modules/jackspeak": { - "version": "2.3.6", - "resolved": "https://registry.npmjs.org/jackspeak/-/jackspeak-2.3.6.tgz", - "integrity": "sha512-N3yCS/NegsOBokc8GAdM8UcmfsKiSS8cipheD/nivzr700H+nsMOxJjQnvwOcRYVuFkdH0wGUvW2WbXGmrZGbQ==", + "version": "3.1.2", + "resolved": "https://registry.npmjs.org/jackspeak/-/jackspeak-3.1.2.tgz", + "integrity": "sha512-kWmLKn2tRtfYMF/BakihVVRzBKOxz4gJMiL2Rj91WnAB5TPZumSH99R/Yf1qE1u4uRimvCSJfm6hnxohXeEXjQ==", "dependencies": { "@isaacs/cliui": "^8.0.2" }, @@ -8262,6 +8599,37 @@ "lz-string": "bin/bin.js" } }, + "node_modules/make-cancellable-promise": { + "version": "1.3.2", + "resolved": "https://registry.npmjs.org/make-cancellable-promise/-/make-cancellable-promise-1.3.2.tgz", + "integrity": "sha512-GCXh3bq/WuMbS+Ky4JBPW1hYTOU+znU+Q5m9Pu+pI8EoUqIHk9+tviOKC6/qhHh8C4/As3tzJ69IF32kdz85ww==", + "funding": { + "url": "https://github.com/wojtekmaj/make-cancellable-promise?sponsor=1" + } + }, + "node_modules/make-dir": { + "version": "3.1.0", + "resolved": "https://registry.npmjs.org/make-dir/-/make-dir-3.1.0.tgz", + "integrity": "sha512-g3FeP20LNwhALb/6Cz6Dd4F2ngze0jz7tbzrD2wAV+o9FeNHe4rL+yK2md0J/fiSf1sa1ADhXqi5+oVwOM/eGw==", + "optional": true, + "dependencies": { + "semver": "^6.0.0" + }, + "engines": { + "node": ">=8" + }, + "funding": { + "url": "https://github.com/sponsors/sindresorhus" + } + }, + "node_modules/make-event-props": { + "version": "1.6.2", + "resolved": "https://registry.npmjs.org/make-event-props/-/make-event-props-1.6.2.tgz", + "integrity": "sha512-iDwf7mA03WPiR8QxvcVHmVWEPfMY1RZXerDVNCRYW7dUr2ppH3J58Rwb39/WG39yTZdRSxr3x+2v22tvI0VEvA==", + "funding": { + "url": "https://github.com/wojtekmaj/make-event-props?sponsor=1" + } + }, "node_modules/markdown-table": { "version": "3.0.3", "resolved": "https://registry.npmjs.org/markdown-table/-/markdown-table-3.0.3.tgz", @@ -8510,6 +8878,22 @@ "url": "https://opencollective.com/unified" } }, + "node_modules/merge-refs": { + "version": "1.3.0", + "resolved": "https://registry.npmjs.org/merge-refs/-/merge-refs-1.3.0.tgz", + "integrity": "sha512-nqXPXbso+1dcKDpPCXvwZyJILz+vSLqGGOnDrYHQYE+B8n9JTCekVLC65AfCpR4ggVyA/45Y0iR9LDyS2iI+zA==", + "funding": { + "url": "https://github.com/wojtekmaj/merge-refs?sponsor=1" + }, + "peerDependencies": { + "@types/react": "^16.8.0 || ^17.0.0 || ^18.0.0 || ^19.0.0" + }, + "peerDependenciesMeta": { + "@types/react": { + "optional": true + } + } + }, "node_modules/merge-stream": { "version": "2.0.0", "resolved": "https://registry.npmjs.org/merge-stream/-/merge-stream-2.0.0.tgz", @@ -9082,11 +9466,11 @@ ] }, "node_modules/micromatch": { - "version": "4.0.5", - "resolved": "https://registry.npmjs.org/micromatch/-/micromatch-4.0.5.tgz", - "integrity": "sha512-DMy+ERcEW2q8Z2Po+WNXuw3c5YaUSFjAO5GsJqfEl7UjvtIuFKO6ZrKvcItdy98dwFI2N1tg3zNIdKaQT+aNdA==", + "version": "4.0.7", + "resolved": "https://registry.npmjs.org/micromatch/-/micromatch-4.0.7.tgz", + "integrity": "sha512-LPP/3KorzCwBxfeUuZmaR6bG2kdeHSbe0P2tY3FLRU4vYrjYz5hI4QZwV0njUx3jeuKe67YukQ1LSPZBKDqO/Q==", "dependencies": { - "braces": "^3.0.2", + "braces": "^3.0.3", "picomatch": "^2.3.1" }, "engines": { @@ -9094,12 +9478,13 @@ } }, "node_modules/million": { - "version": "3.0.6", - "resolved": "https://registry.npmjs.org/million/-/million-3.0.6.tgz", - "integrity": "sha512-OLjRVASGOZdyZw2ctBSSOu5kb9PaxafqkueqVvw0iQtUUnTLVRk1EmtqcNAtJWCIm8wn+WGRpDbnp+5Hi8//Kg==", + "version": "3.1.1", + "resolved": "https://registry.npmjs.org/million/-/million-3.1.1.tgz", + "integrity": "sha512-vmI3lyA3IN4QKiB0/M3uDef3lZZvgVUokWtLkc5NvxEnykY+TdSR6xatMMNDJmzMHTneayIOpc/eQu4d9Z/r2w==", "dependencies": { "@babel/core": "^7.23.7", "@babel/types": "^7.23.6", + "@million/install": "^0.0.3", "@rollup/pluginutils": "^5.1.0", "kleur": "^4.1.5", "undici": "^6.3.0", @@ -9188,30 +9573,59 @@ } }, "node_modules/minipass": { - "version": "7.0.4", - "resolved": "https://registry.npmjs.org/minipass/-/minipass-7.0.4.tgz", - "integrity": "sha512-jYofLM5Dam9279rdkWzqHozUo4ybjdZmCsDHePy5V/PbBcVMiSZR97gmAy45aqi8CK1lG2ECd356FU86avfwUQ==", + "version": "5.0.0", + "resolved": "https://registry.npmjs.org/minipass/-/minipass-5.0.0.tgz", + "integrity": "sha512-3FnjYuehv9k6ovOEbyOswadCDPX1piCfhV8ncmYtHOjuPwylVWsghTLo7rabjC3Rx5xD4HDx8Wm1xnMF7S5qFQ==", "engines": { - "node": ">=16 || 14 >=14.17" + "node": ">=8" } }, + "node_modules/minizlib": { + "version": "2.1.2", + "resolved": "https://registry.npmjs.org/minizlib/-/minizlib-2.1.2.tgz", + "integrity": "sha512-bAxsR8BVfj60DWXHE3u30oHzfl4G7khkSuPW+qvpd7jFRHm7dLxOjUk1EHACJ/hxLY8phGJ0YhYHZo7jil7Qdg==", + "optional": true, + "dependencies": { + "minipass": "^3.0.0", + "yallist": "^4.0.0" + }, + "engines": { + "node": ">= 8" + } + }, + "node_modules/minizlib/node_modules/minipass": { + "version": "3.3.6", + "resolved": "https://registry.npmjs.org/minipass/-/minipass-3.3.6.tgz", + "integrity": "sha512-DxiNidxSEK+tHG6zOIklvNOwm3hvCrbUrdtzY74U6HKTJxvIDfOUL5W5P2Ghd3DTkhhKPYGqeNUIh5qcM4YBfw==", + "optional": true, + "dependencies": { + "yallist": "^4.0.0" + }, + "engines": { + "node": ">=8" + } + }, + "node_modules/minizlib/node_modules/yallist": { + "version": "4.0.0", + "resolved": "https://registry.npmjs.org/yallist/-/yallist-4.0.0.tgz", + "integrity": "sha512-3wdGidZyq5PB084XLES5TpOSRA3wjXAlIWMhum2kRcv/41Sn2emQ0dycQW4uZXLejwKvg6EsvbdlVL+FYEct7A==", + "optional": true + }, "node_modules/mj-context-menu": { "version": "0.6.1", "resolved": "https://registry.npmjs.org/mj-context-menu/-/mj-context-menu-0.6.1.tgz", "integrity": "sha512-7NO5s6n10TIV96d4g2uDpG7ZDpIhMh0QNfGdJw/W47JswFcosz457wqz/b5sAKvl12sxINGFCn80NZHKwxQEXA==" }, "node_modules/mkdirp": { - "version": "2.1.6", - "resolved": "https://registry.npmjs.org/mkdirp/-/mkdirp-2.1.6.tgz", - "integrity": "sha512-+hEnITedc8LAtIP9u3HJDFIdcLV2vXP33sqLLIzkv1Db1zO/1OxbvYf0Y1OC/S/Qo5dxHXepofhmxL02PsKe+A==", + "version": "1.0.4", + "resolved": "https://registry.npmjs.org/mkdirp/-/mkdirp-1.0.4.tgz", + "integrity": "sha512-vVqVZQyf3WLx2Shd0qJ9xuvqgAyKPLAiqITEtqW0oIUjzo3PePDd6fW9iFz30ef7Ysp/oiWqbhszeGWW2T6Gzw==", + "optional": true, "bin": { - "mkdirp": "dist/cjs/src/bin.js" + "mkdirp": "bin/cmd.js" }, "engines": { "node": ">=10" - }, - "funding": { - "url": "https://github.com/sponsors/isaacs" } }, "node_modules/moment": { @@ -9245,6 +9659,12 @@ "thenify-all": "^1.0.0" } }, + "node_modules/nan": { + "version": "2.19.0", + "resolved": "https://registry.npmjs.org/nan/-/nan-2.19.0.tgz", + "integrity": "sha512-nO1xXxfh/RWNxfd/XPfbIfFk5vgLsAxUR9y5O0cHMJu/AW9U95JLXqthYHjEp+8gQ5p96K9jUp8nbVOxCdRbtw==", + "optional": true + }, "node_modules/nanoid": { "version": "3.3.7", "resolved": "https://registry.npmjs.org/nanoid/-/nanoid-3.3.7.tgz", @@ -9319,6 +9739,21 @@ "resolved": "https://registry.npmjs.org/node-releases/-/node-releases-2.0.14.tgz", "integrity": "sha512-y10wOWt8yZpqXmOgRo77WaHEmhYQYGNA6y421PKsKYWEK8aW+cqAphborZDhqfyKrbZEN92CN1X2KbafY2s7Yw==" }, + "node_modules/nopt": { + "version": "5.0.0", + "resolved": "https://registry.npmjs.org/nopt/-/nopt-5.0.0.tgz", + "integrity": "sha512-Tbj67rffqceeLpcRXrT7vKAN8CwfPeIBgM7E6iBkmKLV7bEMwpGgYLGv0jACUsECaa/vuxP0IjEont6umdMgtQ==", + "optional": true, + "dependencies": { + "abbrev": "1" + }, + "bin": { + "nopt": "bin/nopt.js" + }, + "engines": { + "node": ">=6" + } + }, "node_modules/normalize-path": { "version": "3.0.0", "resolved": "https://registry.npmjs.org/normalize-path/-/normalize-path-3.0.0.tgz", @@ -9369,10 +9804,23 @@ "node": ">=4" } }, + "node_modules/npmlog": { + "version": "5.0.1", + "resolved": "https://registry.npmjs.org/npmlog/-/npmlog-5.0.1.tgz", + "integrity": "sha512-AqZtDUWOMKs1G/8lwylVjrdYgqA4d9nu8hc+0gzRxlDb1I10+FHBGMXs6aiQHFdCUUlqH99MUMuLfzWDNDtfxw==", + "deprecated": "This package is no longer supported.", + "optional": true, + "dependencies": { + "are-we-there-yet": "^2.0.0", + "console-control-strings": "^1.1.0", + "gauge": "^3.0.0", + "set-blocking": "^2.0.0" + } + }, "node_modules/nwsapi": { - "version": "2.2.7", - "resolved": "https://registry.npmjs.org/nwsapi/-/nwsapi-2.2.7.tgz", - "integrity": "sha512-ub5E4+FBPKwAZx0UwIQOjYWGHTEq5sPqHQNRN8Z9e4A7u3Tj1weLJsL59yH9vmvqEtBHaOmT6cYQKIZOxp35FQ==" + "version": "2.2.10", + "resolved": "https://registry.npmjs.org/nwsapi/-/nwsapi-2.2.10.tgz", + "integrity": "sha512-QK0sRs7MKv0tKe1+5uZIQk/C8XGza4DAnztJG8iD+TpJIORARrCxczA738awHrZoHeTjSSoHqao2teO0dC/gFQ==" }, "node_modules/object-assign": { "version": "4.1.1", @@ -9446,7 +9894,7 @@ "version": "1.4.0", "resolved": "https://registry.npmjs.org/once/-/once-1.4.0.tgz", "integrity": "sha512-lNaJgI+2Q5URQBkccEKHTQOPaXdUxnZZElQTZY0MFUAuaEqe1E+Nyvgdz/aIyNi6Z9MzO5dv1H8n58/GELp3+w==", - "dev": true, + "devOptional": true, "dependencies": { "wrappy": "1" } @@ -9465,18 +9913,26 @@ "url": "https://github.com/sponsors/sindresorhus" } }, + "node_modules/openseadragon": { + "version": "4.1.1", + "resolved": "https://registry.npmjs.org/openseadragon/-/openseadragon-4.1.1.tgz", + "integrity": "sha512-owU9gsasAcobLN+LM8lN58Xc2VDSDotY9mkrwS/NB6g9KX/PcusV4RZvhHng2RF/Q0pMziwldf62glwXoGnuzg==", + "funding": { + "url": "https://opencollective.com/openseadragon" + } + }, "node_modules/optionator": { - "version": "0.9.3", - "resolved": "https://registry.npmjs.org/optionator/-/optionator-0.9.3.tgz", - "integrity": "sha512-JjCoypp+jKn1ttEFExxhetCKeJt9zhAgAve5FXHixTvFDW/5aEktX9bufBKLRRMdU7bNtpLfcGu94B3cdEJgjg==", + "version": "0.9.4", + "resolved": "https://registry.npmjs.org/optionator/-/optionator-0.9.4.tgz", + "integrity": "sha512-6IpQ7mKUxRcZNLIObR0hz7lxsapSSIYNZJwXPGeF0mTVqGKFIXj1DQcMoT22S3ROcLyY/rz0PWaWZ9ayWmad9g==", "dev": true, "dependencies": { - "@aashutoshrathi/word-wrap": "^1.2.3", "deep-is": "^0.1.3", "fast-levenshtein": "^2.0.6", "levn": "^0.4.1", "prelude-ls": "^1.2.1", - "type-check": "^0.4.0" + "type-check": "^0.4.0", + "word-wrap": "^1.2.5" }, "engines": { "node": ">= 0.8.0" @@ -9694,7 +10150,7 @@ "version": "1.0.1", "resolved": "https://registry.npmjs.org/path-is-absolute/-/path-is-absolute-1.0.1.tgz", "integrity": "sha512-AVbw3UJ2e9bq64vSaS9Am0fje1Pa8pbGqTTsmXfaIiMpnr5DlDhfJOuLj9Sf95ZPVDAUerDfEk88MPmPe7UCQg==", - "dev": true, + "devOptional": true, "engines": { "node": ">=0.10.0" } @@ -9713,24 +10169,24 @@ "integrity": "sha512-LDJzPVEEEPR+y48z93A0Ed0yXb8pAByGWo/k5YYdYgpY2/2EsOsksJrq7lOHxryrVOn1ejG6oAp8ahvOIQD8sw==" }, "node_modules/path-scurry": { - "version": "1.10.2", - "resolved": "https://registry.npmjs.org/path-scurry/-/path-scurry-1.10.2.tgz", - "integrity": "sha512-7xTavNy5RQXnsjANvVvMkEjvloOinkAjv/Z6Ildz9v2RinZ4SBKTWFOVRbaF8p0vpHnyjV/UwNDdKuUv6M5qcA==", + "version": "1.11.1", + "resolved": "https://registry.npmjs.org/path-scurry/-/path-scurry-1.11.1.tgz", + "integrity": "sha512-Xa4Nw17FS9ApQFJ9umLiJS4orGjm7ZzwUrwamcGQuHSzDyth9boKDaycYdDcZDuqYATXw4HFXgaqWTctW/v1HA==", "dependencies": { "lru-cache": "^10.2.0", "minipass": "^5.0.0 || ^6.0.2 || ^7.0.0" }, "engines": { - "node": ">=16 || 14 >=14.17" + "node": ">=16 || 14 >=14.18" }, "funding": { "url": "https://github.com/sponsors/isaacs" } }, "node_modules/path-scurry/node_modules/lru-cache": { - "version": "10.2.0", - "resolved": "https://registry.npmjs.org/lru-cache/-/lru-cache-10.2.0.tgz", - "integrity": "sha512-2bIM8x+VAf6JT4bKAljS1qUWgMsqZRPGJS6FSahIMPVvctcNhyVp7AJu7quxOW9jwkryBReKZY5tY5JYv2n/7Q==", + "version": "10.2.2", + "resolved": "https://registry.npmjs.org/lru-cache/-/lru-cache-10.2.2.tgz", + "integrity": "sha512-9hp3Vp2/hFQUiIwKo8XCeFVnrg8Pk3TYNPIR7tJADKi5YfcF7vEaK7avFHTlSy3kOKYaJQaalfEo6YuXdceBOQ==", "engines": { "node": "14 || >=16.14" } @@ -9743,6 +10199,27 @@ "node": ">=8" } }, + "node_modules/path2d-polyfill": { + "version": "2.0.1", + "resolved": "https://registry.npmjs.org/path2d-polyfill/-/path2d-polyfill-2.0.1.tgz", + "integrity": "sha512-ad/3bsalbbWhmBo0D6FZ4RNMwsLsPpL6gnvhuSaU5Vm7b06Kr5ubSltQQ0T7YKsiJQO+g22zJ4dJKNTXIyOXtA==", + "optional": true, + "engines": { + "node": ">=8" + } + }, + "node_modules/pdfjs-dist": { + "version": "3.11.174", + "resolved": "https://registry.npmjs.org/pdfjs-dist/-/pdfjs-dist-3.11.174.tgz", + "integrity": "sha512-TdTZPf1trZ8/UFu5Cx/GXB7GZM30LT+wWUNfsi6Bq8ePLnb+woNKtDymI2mxZYBpMbonNFqKmiz684DIfnd8dA==", + "engines": { + "node": ">=18" + }, + "optionalDependencies": { + "canvas": "^2.11.2", + "path2d-polyfill": "^2.0.1" + } + }, "node_modules/peek-readable": { "version": "5.0.0", "resolved": "https://registry.npmjs.org/peek-readable/-/peek-readable-5.0.0.tgz", @@ -9757,9 +10234,9 @@ } }, "node_modules/picocolors": { - "version": "1.0.0", - "resolved": "https://registry.npmjs.org/picocolors/-/picocolors-1.0.0.tgz", - "integrity": "sha512-1fygroTLlHu66zi26VoTDv8yRgm0Fccecssto+MhsZ0D/DGW2sm8E8AjW7NU5VVTRt5GxbeZ5qBuJr+HyLYkjQ==" + "version": "1.0.1", + "resolved": "https://registry.npmjs.org/picocolors/-/picocolors-1.0.1.tgz", + "integrity": "sha512-anP1Z8qwhkbmu7MFP5iTt+wQKXgwzf7zTyGlcdzabySa9vd0Xt392U0rVmz9poOaBj0uHJKyyo9/upk0HrEQew==" }, "node_modules/picomatch": { "version": "2.3.1", @@ -9789,11 +10266,11 @@ } }, "node_modules/playwright": { - "version": "1.43.1", - "resolved": "https://registry.npmjs.org/playwright/-/playwright-1.43.1.tgz", - "integrity": "sha512-V7SoH0ai2kNt1Md9E3Gwas5B9m8KR2GVvwZnAI6Pg0m3sh7UvgiYhRrhsziCmqMJNouPckiOhk8T+9bSAK0VIA==", + "version": "1.44.0", + "resolved": "https://registry.npmjs.org/playwright/-/playwright-1.44.0.tgz", + "integrity": "sha512-F9b3GUCLQ3Nffrfb6dunPOkE5Mh68tR7zN32L4jCk4FjQamgesGay7/dAAe1WaMEGV04DkdJfcJzjoCKygUaRQ==", "dependencies": { - "playwright-core": "1.43.1" + "playwright-core": "1.44.0" }, "bin": { "playwright": "cli.js" @@ -9806,9 +10283,9 @@ } }, "node_modules/playwright-core": { - "version": "1.43.1", - "resolved": "https://registry.npmjs.org/playwright-core/-/playwright-core-1.43.1.tgz", - "integrity": "sha512-EI36Mto2Vrx6VF7rm708qSnesVQKbxEWvPrfA1IPY6HgczBplDx7ENtx+K2n4kJ41sLLkuGfmb0ZLSSXlDhqPg==", + "version": "1.44.0", + "resolved": "https://registry.npmjs.org/playwright-core/-/playwright-core-1.44.0.tgz", + "integrity": "sha512-ZTbkNpFfYcGWohvTTl+xewITm7EOuqIqex0c7dNZ+aXsbrLj0qI8XlGKfPpipjm0Wny/4Lt4CJsWJk1stVS5qQ==", "bin": { "playwright-core": "cli.js" }, @@ -9950,9 +10427,9 @@ } }, "node_modules/postcss-nested/node_modules/postcss-selector-parser": { - "version": "6.0.16", - "resolved": "https://registry.npmjs.org/postcss-selector-parser/-/postcss-selector-parser-6.0.16.tgz", - "integrity": "sha512-A0RVJrX+IUkVZbW3ClroRWurercFhieevHB38sr2+l9eUClMqome3LmEmnhlNy+5Mr2EYN6B2Kaw9wYdd+VHiw==", + "version": "6.1.0", + "resolved": "https://registry.npmjs.org/postcss-selector-parser/-/postcss-selector-parser-6.1.0.tgz", + "integrity": "sha512-UMz42UD0UY0EApS0ZL9o1XnLhSTtvvvLe5Dc2H2O56fvRZi+KulDyf5ctDhhtYJBGKStV2FL1fy6253cmLgqVQ==", "dependencies": { "cssesc": "^3.0.0", "util-deprecate": "^1.0.2" @@ -10417,9 +10894,9 @@ } }, "node_modules/react": { - "version": "18.2.0", - "resolved": "https://registry.npmjs.org/react/-/react-18.2.0.tgz", - "integrity": "sha512-/3IjMdb2L9QbBdWiW5e3P2/npwMBaU9mHCSCUzNln0ZCYbcfTsGbTJrU/kGemdH2IWmB2ioZ+zkxtmq6g09fGQ==", + "version": "18.3.1", + "resolved": "https://registry.npmjs.org/react/-/react-18.3.1.tgz", + "integrity": "sha512-wS+hAgJShR0KhEvPJArfuPVN1+Hz1t0Y6n5jLrGQbkb4urgPE/0Rve+1kMB1v/oWgHgm4WIcV+i7F2pTVj+2iQ==", "dependencies": { "loose-envify": "^1.1.0" }, @@ -10457,15 +10934,15 @@ } }, "node_modules/react-dom": { - "version": "18.2.0", - "resolved": "https://registry.npmjs.org/react-dom/-/react-dom-18.2.0.tgz", - "integrity": "sha512-6IMTriUmvsjHUjNtEDudZfuDQUoWXVxKHhlEGSk81n4YFS+r/Kl99wXiwlVXtPBtJenozv2P+hxDsw9eA7Xo6g==", + "version": "18.3.1", + "resolved": "https://registry.npmjs.org/react-dom/-/react-dom-18.3.1.tgz", + "integrity": "sha512-5m4nQKp+rZRb09LNH59GM4BxTh9251/ylbKIbpe7TpGxfJ+9kv6BLkLBXIjjspbgbnIBNqlI23tRnTWT0snUIw==", "dependencies": { "loose-envify": "^1.1.0", - "scheduler": "^0.23.0" + "scheduler": "^0.23.2" }, "peerDependencies": { - "react": "^18.2.0" + "react": "^18.3.1" } }, "node_modules/react-draggable": { @@ -10492,10 +10969,25 @@ "react": ">=16.13.1" } }, + "node_modules/react-hook-form": { + "version": "7.51.5", + "resolved": "https://registry.npmjs.org/react-hook-form/-/react-hook-form-7.51.5.tgz", + "integrity": "sha512-J2ILT5gWx1XUIJRETiA7M19iXHlG74+6O3KApzvqB/w8S5NQR7AbU8HVZrMALdmDgWpRPYiZJl0zx8Z4L2mP6Q==", + "engines": { + "node": ">=12.22.0" + }, + "funding": { + "type": "opencollective", + "url": "https://opencollective.com/react-hook-form" + }, + "peerDependencies": { + "react": "^16.8.0 || ^17 || ^18" + } + }, "node_modules/react-icons": { - "version": "5.1.0", - "resolved": "https://registry.npmjs.org/react-icons/-/react-icons-5.1.0.tgz", - "integrity": "sha512-D3zug1270S4hbSlIRJ0CUS97QE1yNNKDjzQe3HqY0aefp2CBn9VgzgES27sRR2gOvFK+0CNx/BW0ggOESp6fqQ==", + "version": "5.2.1", + "resolved": "https://registry.npmjs.org/react-icons/-/react-icons-5.2.1.tgz", + "integrity": "sha512-zdbW5GstTzXaVKvGSyTaBalt7HSfuK5ovrzlpyiWHAFXndXTdd/1hdDHI4xBM1Mn7YriT6aqESucFl9kEXzrdw==", "peerDependencies": { "react": "*" } @@ -10549,23 +11041,60 @@ } }, "node_modules/react-markdown/node_modules/react-is": { - "version": "18.2.0", - "resolved": "https://registry.npmjs.org/react-is/-/react-is-18.2.0.tgz", - "integrity": "sha512-xWGDIW6x921xtzPkhiULtthJHoJvBbF3q26fzloPCK0hsvxtPVelvftw3zjbHWSkR2km9Z+4uxbDDK/6Zw9B8w==" + "version": "18.3.1", + "resolved": "https://registry.npmjs.org/react-is/-/react-is-18.3.1.tgz", + "integrity": "sha512-/LLMVyas0ljjAtoYiPqYiL8VWXzUUdThrmU5+n20DZv+a+ClRoevUzw5JxU+Ieh5/c87ytoTBV9G1FiKfNJdmg==" + }, + "node_modules/react-pdf": { + "version": "7.7.3", + "resolved": "https://registry.npmjs.org/react-pdf/-/react-pdf-7.7.3.tgz", + "integrity": "sha512-a2VfDl8hiGjugpqezBTUzJHYLNB7IS7a2t7GD52xMI9xHg8LdVaTMsnM9ZlNmKadnStT/tvX5IfV0yLn+JvYmw==", + "dependencies": { + "clsx": "^2.0.0", + "dequal": "^2.0.3", + "make-cancellable-promise": "^1.3.1", + "make-event-props": "^1.6.0", + "merge-refs": "^1.2.1", + "pdfjs-dist": "3.11.174", + "prop-types": "^15.6.2", + "tiny-invariant": "^1.0.0", + "warning": "^4.0.0" + }, + "funding": { + "url": "https://github.com/wojtekmaj/react-pdf?sponsor=1" + }, + "peerDependencies": { + "@types/react": "^16.8.0 || ^17.0.0 || ^18.0.0", + "react": "^16.8.0 || ^17.0.0 || ^18.0.0", + "react-dom": "^16.8.0 || ^17.0.0 || ^18.0.0" + }, + "peerDependenciesMeta": { + "@types/react": { + "optional": true + } + } + }, + "node_modules/react-pdf/node_modules/clsx": { + "version": "2.1.1", + "resolved": "https://registry.npmjs.org/clsx/-/clsx-2.1.1.tgz", + "integrity": "sha512-eYm0QWBtUrBWZWG0d386OGAw16Z995PiOVo2B7bjWSbHedGl5e0ZWaq65kOGgUSNesEIDkB9ISbTg/JK9dhCZA==", + "engines": { + "node": ">=6" + } }, "node_modules/react-reconciler": { - "version": "0.29.0", - "resolved": "https://registry.npmjs.org/react-reconciler/-/react-reconciler-0.29.0.tgz", - "integrity": "sha512-wa0fGj7Zht1EYMRhKWwoo1H9GApxYLBuhoAuXN0TlltESAjDssB+Apf0T/DngVqaMyPypDmabL37vw/2aRM98Q==", + "version": "0.29.2", + "resolved": "https://registry.npmjs.org/react-reconciler/-/react-reconciler-0.29.2.tgz", + "integrity": "sha512-zZQqIiYgDCTP/f1N/mAR10nJGrPD2ZR+jDSEsKWJHYC7Cm2wodlwbR3upZRdC3cjIjSlTLNVyO7Iu0Yy7t2AYg==", "dependencies": { "loose-envify": "^1.1.0", - "scheduler": "^0.23.0" + "scheduler": "^0.23.2" }, "engines": { "node": ">=0.10.0" }, "peerDependencies": { - "react": "^18.2.0" + "react": "^18.3.1" } }, "node_modules/react-remove-scroll": { @@ -10614,11 +11143,11 @@ } }, "node_modules/react-router": { - "version": "6.22.3", - "resolved": "https://registry.npmjs.org/react-router/-/react-router-6.22.3.tgz", - "integrity": "sha512-dr2eb3Mj5zK2YISHK++foM9w4eBnO23eKnZEDs7c880P6oKbrjz/Svg9+nxqtHQK+oMW4OtjZca0RqPglXxguQ==", + "version": "6.23.1", + "resolved": "https://registry.npmjs.org/react-router/-/react-router-6.23.1.tgz", + "integrity": "sha512-fzcOaRF69uvqbbM7OhvQyBTFDVrrGlsFdS3AL+1KfIBtGETibHzi3FkoTRyiDJnWNc2VxrfvR+657ROHjaNjqQ==", "dependencies": { - "@remix-run/router": "1.15.3" + "@remix-run/router": "1.16.1" }, "engines": { "node": ">=14.0.0" @@ -10628,12 +11157,12 @@ } }, "node_modules/react-router-dom": { - "version": "6.22.3", - "resolved": "https://registry.npmjs.org/react-router-dom/-/react-router-dom-6.22.3.tgz", - "integrity": "sha512-7ZILI7HjcE+p31oQvwbokjk6OA/bnFxrhJ19n82Ex9Ph8fNAq+Hm/7KchpMGlTgWhUxRHMMCut+vEtNpWpowKw==", + "version": "6.23.1", + "resolved": "https://registry.npmjs.org/react-router-dom/-/react-router-dom-6.23.1.tgz", + "integrity": "sha512-utP+K+aSTtEdbWpC+4gxhdlPFwuEfDKq8ZrPFU65bbRJY+l706qjR7yaidBpo3MSeA/fzwbXWbKBI6ftOnP3OQ==", "dependencies": { - "@remix-run/router": "1.15.3", - "react-router": "6.22.3" + "@remix-run/router": "1.16.1", + "react-router": "6.23.1" }, "engines": { "node": ">=14.0.0" @@ -10689,16 +11218,16 @@ } }, "node_modules/reactflow": { - "version": "11.11.1", - "resolved": "https://registry.npmjs.org/reactflow/-/reactflow-11.11.1.tgz", - "integrity": "sha512-2GEh0bTkYR7rzAV3qdeN6C1o4qumtETZl7yQv1GVrfgr3c77nCUAOKsv5hetRejOGNnJudRwn6axeWFAY+IjNg==", + "version": "11.11.3", + "resolved": "https://registry.npmjs.org/reactflow/-/reactflow-11.11.3.tgz", + "integrity": "sha512-wusd1Xpn1wgsSEv7UIa4NNraCwH9syBtubBy4xVNXg3b+CDKM+sFaF3hnMx0tr0et4km9urIDdNvwm34QiZong==", "dependencies": { - "@reactflow/background": "11.3.11", - "@reactflow/controls": "11.2.11", - "@reactflow/core": "11.11.1", - "@reactflow/minimap": "11.7.11", - "@reactflow/node-resizer": "2.2.11", - "@reactflow/node-toolbar": "1.3.11" + "@reactflow/background": "11.3.13", + "@reactflow/controls": "11.2.13", + "@reactflow/core": "11.11.3", + "@reactflow/minimap": "11.7.13", + "@reactflow/node-resizer": "2.2.13", + "@reactflow/node-toolbar": "1.3.13" }, "peerDependencies": { "react": ">=17", @@ -10901,6 +11430,14 @@ "url": "https://opencollective.com/unified" } }, + "node_modules/require-directory": { + "version": "2.1.1", + "resolved": "https://registry.npmjs.org/require-directory/-/require-directory-2.1.1.tgz", + "integrity": "sha512-fGxEI7+wsG9xrvdjsrlmL22OMTTiHRwAMroiEeMgq8gzoLC/PQr7RsRDSTLUg/bZAZtF+TVIkHc6/4RIKrui+Q==", + "engines": { + "node": ">=0.10.0" + } + }, "node_modules/requires-port": { "version": "1.0.0", "resolved": "https://registry.npmjs.org/requires-port/-/requires-port-1.0.0.tgz", @@ -10976,7 +11513,7 @@ "version": "3.0.2", "resolved": "https://registry.npmjs.org/rimraf/-/rimraf-3.0.2.tgz", "integrity": "sha512-JZkJMZkAGFFPP2YqXZXPbMlMBgsxzE8ILs4lMIX/2o0L9UBw9O/Y3o6wFw/i9YLapcUJWwqbi3kdxIPdC62TIA==", - "dev": true, + "devOptional": true, "dependencies": { "glob": "^7.1.3" }, @@ -11076,9 +11613,9 @@ } }, "node_modules/scheduler": { - "version": "0.23.0", - "resolved": "https://registry.npmjs.org/scheduler/-/scheduler-0.23.0.tgz", - "integrity": "sha512-CtuThmgHNg7zIZWAXi3AsyIzA3n4xx7aNyjwC2VJldO2LMVDhFK+63xGqq6CsJH4rTAt6/M+N4GhZiDYPx9eUw==", + "version": "0.23.2", + "resolved": "https://registry.npmjs.org/scheduler/-/scheduler-0.23.2.tgz", + "integrity": "sha512-UOShsPwz7NrMUqhR6t0hWjFduvOzbtv7toDH1/hIrfRNIDBnnBWd0CwJTGvTpngVlmwGCdP9/Zl/tVrDqcuYzQ==", "dependencies": { "loose-envify": "^1.1.0" } @@ -11118,26 +11655,11 @@ "url": "https://github.com/sponsors/sindresorhus" } }, - "node_modules/semver-truncate/node_modules/lru-cache": { - "version": "6.0.0", - "resolved": "https://registry.npmjs.org/lru-cache/-/lru-cache-6.0.0.tgz", - "integrity": "sha512-Jo6dJ04CmSjuznwJSS3pUeWmd/H0ffTlkXXgwZi+eq1UCmqQwCh+eLsYOYCwY991i2Fah4h1BEMCx4qThGbsiA==", - "dev": true, - "dependencies": { - "yallist": "^4.0.0" - }, - "engines": { - "node": ">=10" - } - }, "node_modules/semver-truncate/node_modules/semver": { - "version": "7.6.0", - "resolved": "https://registry.npmjs.org/semver/-/semver-7.6.0.tgz", - "integrity": "sha512-EnwXhrlwXMk9gKu5/flx5sv/an57AkRplG3hTK68W7FRDN+k+OWBj65M7719OkA82XLBxrcX0KSHj+X5COhOVg==", + "version": "7.6.2", + "resolved": "https://registry.npmjs.org/semver/-/semver-7.6.2.tgz", + "integrity": "sha512-FNAIBWCx9qcRhoHcgcJ0gvU7SN1lYU2ZXuSfl04bSC5OpvDHFyJCjdNHomPXxjQlCBU67YW64PzY7/VIEH7F2w==", "dev": true, - "dependencies": { - "lru-cache": "^6.0.0" - }, "bin": { "semver": "bin/semver.js" }, @@ -11145,11 +11667,11 @@ "node": ">=10" } }, - "node_modules/semver-truncate/node_modules/yallist": { - "version": "4.0.0", - "resolved": "https://registry.npmjs.org/yallist/-/yallist-4.0.0.tgz", - "integrity": "sha512-3wdGidZyq5PB084XLES5TpOSRA3wjXAlIWMhum2kRcv/41Sn2emQ0dycQW4uZXLejwKvg6EsvbdlVL+FYEct7A==", - "dev": true + "node_modules/set-blocking": { + "version": "2.0.0", + "resolved": "https://registry.npmjs.org/set-blocking/-/set-blocking-2.0.0.tgz", + "integrity": "sha512-KiKBS8AnWGEyLzofFfmvKwpdPzqiy16LvQfK3yv/fVH7Bj13/wl3JSR1J+rfgRE9q7xUJK4qvgS8raSOeLUehw==", + "optional": true }, "node_modules/set-function-length": { "version": "1.2.2", @@ -11430,6 +11952,71 @@ "resolved": "https://registry.npmjs.org/signal-exit/-/signal-exit-3.0.7.tgz", "integrity": "sha512-wnD2ZE+l+SPC/uoS0vXeE9L1+0wuaMqKlfz9AMUo38JsyLSBWSFcHR1Rri62LZc12vLr1gb3jl7iwQhgwpAbGQ==" }, + "node_modules/simple-concat": { + "version": "1.0.1", + "resolved": "https://registry.npmjs.org/simple-concat/-/simple-concat-1.0.1.tgz", + "integrity": "sha512-cSFtAPtRhljv69IK0hTVZQ+OfE9nePi/rtJmw5UjHeVyVroEqJXP1sFztKUy1qU+xvz3u/sfYJLa947b7nAN2Q==", + "funding": [ + { + "type": "github", + "url": "https://github.com/sponsors/feross" + }, + { + "type": "patreon", + "url": "https://www.patreon.com/feross" + }, + { + "type": "consulting", + "url": "https://feross.org/support" + } + ], + "optional": true + }, + "node_modules/simple-get": { + "version": "3.1.1", + "resolved": "https://registry.npmjs.org/simple-get/-/simple-get-3.1.1.tgz", + "integrity": "sha512-CQ5LTKGfCpvE1K0n2us+kuMPbk/q0EKl82s4aheV9oXjFEz6W/Y7oQFVJuU6QG77hRT4Ghb5RURteF5vnWjupA==", + "optional": true, + "dependencies": { + "decompress-response": "^4.2.0", + "once": "^1.3.1", + "simple-concat": "^1.0.0" + } + }, + "node_modules/simple-get/node_modules/decompress-response": { + "version": "4.2.1", + "resolved": "https://registry.npmjs.org/decompress-response/-/decompress-response-4.2.1.tgz", + "integrity": "sha512-jOSne2qbyE+/r8G1VU+G/82LBs2Fs4LAsTiLSHOCOMZQl2OKZ6i8i4IyHemTe+/yIXOtTcRQMzPcgyhoFlqPkw==", + "optional": true, + "dependencies": { + "mimic-response": "^2.0.0" + }, + "engines": { + "node": ">=8" + } + }, + "node_modules/simple-get/node_modules/mimic-response": { + "version": "2.1.0", + "resolved": "https://registry.npmjs.org/mimic-response/-/mimic-response-2.1.0.tgz", + "integrity": "sha512-wXqjST+SLt7R009ySCglWBCFpjUygmCIfD790/kVbiGmUgfYGuB14PiTd5DwVxSV4NcYHjzMkoj5LjQZwTQLEA==", + "optional": true, + "engines": { + "node": ">=8" + }, + "funding": { + "url": "https://github.com/sponsors/sindresorhus" + } + }, + "node_modules/simple-git-hooks": { + "version": "2.11.1", + "resolved": "https://registry.npmjs.org/simple-git-hooks/-/simple-git-hooks-2.11.1.tgz", + "integrity": "sha512-tgqwPUMDcNDhuf1Xf6KTUsyeqGdgKMhzaH4PAZZuzguOgTl5uuyeYe/8mWgAr6IBxB5V06uqEf6Dy37gIWDtDg==", + "dev": true, + "hasInstallScript": true, + "bin": { + "simple-git-hooks": "cli.js" + } + }, "node_modules/sisteransi": { "version": "1.0.5", "resolved": "https://registry.npmjs.org/sisteransi/-/sisteransi-1.0.5.tgz", @@ -11559,19 +12146,16 @@ } }, "node_modules/string-width": { - "version": "5.1.2", - "resolved": "https://registry.npmjs.org/string-width/-/string-width-5.1.2.tgz", - "integrity": "sha512-HnLOCR3vjcY8beoNLtcjZ5/nxn2afmME6lhrDrebokqMap+XbeW8n9TXpPDOqdGK5qcI3oT0GKTW6wC7EMiVqA==", + "version": "4.2.3", + "resolved": "https://registry.npmjs.org/string-width/-/string-width-4.2.3.tgz", + "integrity": "sha512-wKyQRQpjJ0sIp62ErSZdGsjMJWsap5oRNihHhu6G7JVO/9jIB6UyevL+tXuOqrng8j/cxKTWyWUwvSTriiZz/g==", "dependencies": { - "eastasianwidth": "^0.2.0", - "emoji-regex": "^9.2.2", - "strip-ansi": "^7.0.1" + "emoji-regex": "^8.0.0", + "is-fullwidth-code-point": "^3.0.0", + "strip-ansi": "^6.0.1" }, "engines": { - "node": ">=12" - }, - "funding": { - "url": "https://github.com/sponsors/sindresorhus" + "node": ">=8" } }, "node_modules/string-width-cjs": { @@ -11588,36 +12172,6 @@ "node": ">=8" } }, - "node_modules/string-width-cjs/node_modules/emoji-regex": { - "version": "8.0.0", - "resolved": "https://registry.npmjs.org/emoji-regex/-/emoji-regex-8.0.0.tgz", - "integrity": "sha512-MSjYzcWNOA0ewAHpz0MxpYFvwg6yjy1NG3xteoqz644VCo/RPgnr1/GGt+ic3iJTzQ8Eu3TdM14SawnVUmGE6A==" - }, - "node_modules/string-width/node_modules/ansi-regex": { - "version": "6.0.1", - "resolved": "https://registry.npmjs.org/ansi-regex/-/ansi-regex-6.0.1.tgz", - "integrity": "sha512-n5M855fKb2SsfMIiFFoVrABHJC8QtHwVx+mHWP3QcEqBHYienj5dHSgjbxtC0WEZXYt4wcD6zrQElDPhFuZgfA==", - "engines": { - "node": ">=12" - }, - "funding": { - "url": "https://github.com/chalk/ansi-regex?sponsor=1" - } - }, - "node_modules/string-width/node_modules/strip-ansi": { - "version": "7.1.0", - "resolved": "https://registry.npmjs.org/strip-ansi/-/strip-ansi-7.1.0.tgz", - "integrity": "sha512-iq6eVVI64nQQTRYq2KtEg2d2uU7LElhTJwsH4YzIHZshxlgZms/wIc4VoDQTlG/IvVIrBKG06CrZnp0qv7hkcQ==", - "dependencies": { - "ansi-regex": "^6.0.1" - }, - "engines": { - "node": ">=12" - }, - "funding": { - "url": "https://github.com/chalk/strip-ansi?sponsor=1" - } - }, "node_modules/strip-ansi": { "version": "6.0.1", "resolved": "https://registry.npmjs.org/strip-ansi/-/strip-ansi-6.0.1.tgz", @@ -11758,26 +12312,39 @@ } }, "node_modules/sucrase/node_modules/glob": { - "version": "10.3.12", - "resolved": "https://registry.npmjs.org/glob/-/glob-10.3.12.tgz", - "integrity": "sha512-TCNv8vJ+xz4QiqTpfOJA7HvYv+tNIRHKfUWw/q+v2jdgN4ebz+KY9tGx5J4rHP0o84mNP+ApH66HRX8us3Khqg==", + "version": "10.3.16", + "resolved": "https://registry.npmjs.org/glob/-/glob-10.3.16.tgz", + "integrity": "sha512-JDKXl1DiuuHJ6fVS2FXjownaavciiHNUU4mOvV/B793RLh05vZL1rcPnCSaOgv1hDT6RDlY7AB7ZUvFYAtPgAw==", "dependencies": { "foreground-child": "^3.1.0", - "jackspeak": "^2.3.6", + "jackspeak": "^3.1.2", "minimatch": "^9.0.1", "minipass": "^7.0.4", - "path-scurry": "^1.10.2" + "path-scurry": "^1.11.0" }, "bin": { "glob": "dist/esm/bin.mjs" }, "engines": { - "node": ">=16 || 14 >=14.17" + "node": ">=16 || 14 >=14.18" }, "funding": { "url": "https://github.com/sponsors/isaacs" } }, + "node_modules/sucrase/node_modules/minipass": { + "version": "7.1.1", + "resolved": "https://registry.npmjs.org/minipass/-/minipass-7.1.1.tgz", + "integrity": "sha512-UZ7eQ+h8ywIRAW1hIEl2AqdwzJucU/Kp59+8kkZeSvafXhZjul247BvIJjEVFVeON6d7lM46XX1HXCduKAS8VA==", + "engines": { + "node": ">=16 || 14 >=14.17" + } + }, + "node_modules/sugar-high": { + "version": "0.6.1", + "resolved": "https://registry.npmjs.org/sugar-high/-/sugar-high-0.6.1.tgz", + "integrity": "sha512-kg1qMW7WwJcueXIlHkChL/p2EWY3gf8rQmP6n5nUq2TWVqatqDTMLvViS9WgAjgyTKH5/3/b8sRwWPOOAo1zMA==" + }, "node_modules/supports-color": { "version": "5.5.0", "resolved": "https://registry.npmjs.org/supports-color/-/supports-color-5.5.0.tgz", @@ -11873,9 +12440,9 @@ } }, "node_modules/tailwindcss/node_modules/postcss-selector-parser": { - "version": "6.0.16", - "resolved": "https://registry.npmjs.org/postcss-selector-parser/-/postcss-selector-parser-6.0.16.tgz", - "integrity": "sha512-A0RVJrX+IUkVZbW3ClroRWurercFhieevHB38sr2+l9eUClMqome3LmEmnhlNy+5Mr2EYN6B2Kaw9wYdd+VHiw==", + "version": "6.1.0", + "resolved": "https://registry.npmjs.org/postcss-selector-parser/-/postcss-selector-parser-6.1.0.tgz", + "integrity": "sha512-UMz42UD0UY0EApS0ZL9o1XnLhSTtvvvLe5Dc2H2O56fvRZi+KulDyf5ctDhhtYJBGKStV2FL1fy6253cmLgqVQ==", "dependencies": { "cssesc": "^3.0.0", "util-deprecate": "^1.0.2" @@ -11884,6 +12451,29 @@ "node": ">=4" } }, + "node_modules/tar": { + "version": "6.2.1", + "resolved": "https://registry.npmjs.org/tar/-/tar-6.2.1.tgz", + "integrity": "sha512-DZ4yORTwrbTj/7MZYq2w+/ZFdI6OZ/f9SFHR+71gIVUZhOQPHzVCLpvRnPgyaMpfWxxk/4ONva3GQSyNIKRv6A==", + "optional": true, + "dependencies": { + "chownr": "^2.0.0", + "fs-minipass": "^2.0.0", + "minipass": "^5.0.0", + "minizlib": "^2.1.1", + "mkdirp": "^1.0.3", + "yallist": "^4.0.0" + }, + "engines": { + "node": ">=10" + } + }, + "node_modules/tar/node_modules/yallist": { + "version": "4.0.0", + "resolved": "https://registry.npmjs.org/yallist/-/yallist-4.0.0.tgz", + "integrity": "sha512-3wdGidZyq5PB084XLES5TpOSRA3wjXAlIWMhum2kRcv/41Sn2emQ0dycQW4uZXLejwKvg6EsvbdlVL+FYEct7A==", + "optional": true + }, "node_modules/text-table": { "version": "0.2.0", "resolved": "https://registry.npmjs.org/text-table/-/text-table-0.2.0.tgz", @@ -11909,6 +12499,11 @@ "node": ">=0.8" } }, + "node_modules/tiny-invariant": { + "version": "1.3.3", + "resolved": "https://registry.npmjs.org/tiny-invariant/-/tiny-invariant-1.3.3.tgz", + "integrity": "sha512-+FbBPE1o9QAYvviau/qC5SE3caw21q3xkvWKBtja5vgqOWIHHJ3ioaq1VPfn/Szqctz2bU/oYeKd9/z5BL+PVg==" + }, "node_modules/tiny-warning": { "version": "1.0.3", "resolved": "https://registry.npmjs.org/tiny-warning/-/tiny-warning-1.0.3.tgz", @@ -11951,9 +12546,9 @@ } }, "node_modules/tough-cookie": { - "version": "4.1.3", - "resolved": "https://registry.npmjs.org/tough-cookie/-/tough-cookie-4.1.3.tgz", - "integrity": "sha512-aX/y5pVRkfRnfmuX+OdbSdXvPe6ieKX/G2s7e98f4poJHnqH3281gDPm/metm6E/WRamfx7WC4HUqkWHfQHprw==", + "version": "4.1.4", + "resolved": "https://registry.npmjs.org/tough-cookie/-/tough-cookie-4.1.4.tgz", + "integrity": "sha512-Loo5UUvLD9ScZ6jh8beX1T6sO1w2/MpCRpEP7V280GKMVUQ0Jzar2U3UJPsrdbziLEMMhu3Ujnq//rhiFuIeag==", "dependencies": { "psl": "^1.1.33", "punycode": "^2.1.1", @@ -12112,11 +12707,11 @@ } }, "node_modules/undici": { - "version": "6.13.0", - "resolved": "https://registry.npmjs.org/undici/-/undici-6.13.0.tgz", - "integrity": "sha512-Q2rtqmZWrbP8nePMq7mOJIN98M0fYvSgV89vwl/BQRT4mDOeY2GXZngfGpcBBhtky3woM7G24wZV3Q304Bv6cw==", + "version": "6.18.1", + "resolved": "https://registry.npmjs.org/undici/-/undici-6.18.1.tgz", + "integrity": "sha512-/0BWqR8rJNRysS5lqVmfc7eeOErcOP4tZpATVjJOojjHZ71gSYVAtFhEmadcIjwMIUehh5NFyKGsXCnXIajtbA==", "engines": { - "node": ">=18.0" + "node": ">=18.17" } }, "node_modules/unified": { @@ -12265,9 +12860,9 @@ } }, "node_modules/update-browserslist-db": { - "version": "1.0.13", - "resolved": "https://registry.npmjs.org/update-browserslist-db/-/update-browserslist-db-1.0.13.tgz", - "integrity": "sha512-xebP81SNcPuNpPP3uzeW1NYXxI3rxyJzF3pD6sH4jE7o/IX+WtSpwnVU+qIsDPyk0d3hmFQ7mjqc6AtV604hbg==", + "version": "1.0.16", + "resolved": "https://registry.npmjs.org/update-browserslist-db/-/update-browserslist-db-1.0.16.tgz", + "integrity": "sha512-KVbTxlBYlckhF5wgfyZXTWnMn7MMZjMu9XG8bPlliUOP9ThaF4QnhP8qrjrH7DRzHfSk0oQv1wToW+iA5GajEQ==", "funding": [ { "type": "opencollective", @@ -12283,8 +12878,8 @@ } ], "dependencies": { - "escalade": "^3.1.1", - "picocolors": "^1.0.0" + "escalade": "^3.1.2", + "picocolors": "^1.0.1" }, "bin": { "update-browserslist-db": "cli.js" @@ -12866,6 +13461,14 @@ "node": ">=14" } }, + "node_modules/warning": { + "version": "4.0.3", + "resolved": "https://registry.npmjs.org/warning/-/warning-4.0.3.tgz", + "integrity": "sha512-rpJyN222KWIvHJ/F53XSZv0Zl/accqHR8et1kpaMTD/fLCRxtV8iX8czMzY7sVZupTI3zcUTg8eycS2kNF9l6w==", + "dependencies": { + "loose-envify": "^1.0.0" + } + }, "node_modules/wcwidth": { "version": "1.0.1", "resolved": "https://registry.npmjs.org/wcwidth/-/wcwidth-1.0.1.tgz", @@ -13027,17 +13630,35 @@ "resolved": "https://registry.npmjs.org/wicked-good-xpath/-/wicked-good-xpath-1.3.0.tgz", "integrity": "sha512-Gd9+TUn5nXdwj/hFsPVx5cuHHiF5Bwuc30jZ4+ronF1qHK5O7HD0sgmXWSEgwKquT3ClLoKPVbO6qGwVwLzvAw==" }, - "node_modules/wrap-ansi": { - "version": "8.1.0", - "resolved": "https://registry.npmjs.org/wrap-ansi/-/wrap-ansi-8.1.0.tgz", - "integrity": "sha512-si7QWI6zUMq56bESFvagtmzMdGOtoxfR+Sez11Mobfc7tm+VkUckk9bW2UeffTGVUbOksxmSw0AA2gs8g71NCQ==", + "node_modules/wide-align": { + "version": "1.1.5", + "resolved": "https://registry.npmjs.org/wide-align/-/wide-align-1.1.5.tgz", + "integrity": "sha512-eDMORYaPNZ4sQIuuYPDHdQvf4gyCF9rEEV/yPxGfwPkRodwEgiMUUXTx/dex+Me0wxx53S+NgUHaP7y3MGlDmg==", + "optional": true, "dependencies": { - "ansi-styles": "^6.1.0", - "string-width": "^5.0.1", - "strip-ansi": "^7.0.1" + "string-width": "^1.0.2 || 2 || 3 || 4" + } + }, + "node_modules/word-wrap": { + "version": "1.2.5", + "resolved": "https://registry.npmjs.org/word-wrap/-/word-wrap-1.2.5.tgz", + "integrity": "sha512-BN22B5eaMMI9UMtjrGd5g5eCYPpCPDUy0FJXbYsaT5zYxjFOckS53SQDE3pWkVoWpHXVb3BrYcEN4Twa55B5cA==", + "dev": true, + "engines": { + "node": ">=0.10.0" + } + }, + "node_modules/wrap-ansi": { + "version": "7.0.0", + "resolved": "https://registry.npmjs.org/wrap-ansi/-/wrap-ansi-7.0.0.tgz", + "integrity": "sha512-YVGIj2kamLSTxw6NsZjoBxfSwsn0ycdesmc4p+Q21c5zPuZ1pl+NfxVdxPtdHvmNVOQ6XSYG4AUtyt/Fi7D16Q==", + "dependencies": { + "ansi-styles": "^4.0.0", + "string-width": "^4.1.0", + "strip-ansi": "^6.0.0" }, "engines": { - "node": ">=12" + "node": ">=10" }, "funding": { "url": "https://github.com/chalk/wrap-ansi?sponsor=1" @@ -13090,70 +13711,46 @@ "resolved": "https://registry.npmjs.org/color-name/-/color-name-1.1.4.tgz", "integrity": "sha512-dOy+3AuW3a2wNbZHIuMZpTcgjGuLU/uBL/ubcZF9OXbDo8ff4O8yVp5Bf0efS8uEoYo5q4Fx7dY9OgQGXgAsQA==" }, - "node_modules/wrap-ansi-cjs/node_modules/emoji-regex": { - "version": "8.0.0", - "resolved": "https://registry.npmjs.org/emoji-regex/-/emoji-regex-8.0.0.tgz", - "integrity": "sha512-MSjYzcWNOA0ewAHpz0MxpYFvwg6yjy1NG3xteoqz644VCo/RPgnr1/GGt+ic3iJTzQ8Eu3TdM14SawnVUmGE6A==" - }, - "node_modules/wrap-ansi-cjs/node_modules/string-width": { - "version": "4.2.3", - "resolved": "https://registry.npmjs.org/string-width/-/string-width-4.2.3.tgz", - "integrity": "sha512-wKyQRQpjJ0sIp62ErSZdGsjMJWsap5oRNihHhu6G7JVO/9jIB6UyevL+tXuOqrng8j/cxKTWyWUwvSTriiZz/g==", + "node_modules/wrap-ansi/node_modules/ansi-styles": { + "version": "4.3.0", + "resolved": "https://registry.npmjs.org/ansi-styles/-/ansi-styles-4.3.0.tgz", + "integrity": "sha512-zbB9rCJAT1rbjiVDb2hqKFHNYLxgtk8NURxZ3IZwD3F6NtxbXZQCnnSi1Lkx+IDohdPlFp222wVALIheZJQSEg==", "dependencies": { - "emoji-regex": "^8.0.0", - "is-fullwidth-code-point": "^3.0.0", - "strip-ansi": "^6.0.1" + "color-convert": "^2.0.1" }, "engines": { "node": ">=8" - } - }, - "node_modules/wrap-ansi/node_modules/ansi-regex": { - "version": "6.0.1", - "resolved": "https://registry.npmjs.org/ansi-regex/-/ansi-regex-6.0.1.tgz", - "integrity": "sha512-n5M855fKb2SsfMIiFFoVrABHJC8QtHwVx+mHWP3QcEqBHYienj5dHSgjbxtC0WEZXYt4wcD6zrQElDPhFuZgfA==", - "engines": { - "node": ">=12" - }, - "funding": { - "url": "https://github.com/chalk/ansi-regex?sponsor=1" - } - }, - "node_modules/wrap-ansi/node_modules/ansi-styles": { - "version": "6.2.1", - "resolved": "https://registry.npmjs.org/ansi-styles/-/ansi-styles-6.2.1.tgz", - "integrity": "sha512-bN798gFfQX+viw3R7yrGWRqnrN2oRkEkUjjl4JNn4E8GxxbjtG3FbrEIIY3l8/hrwUwIeCZvi4QuOTP4MErVug==", - "engines": { - "node": ">=12" }, "funding": { "url": "https://github.com/chalk/ansi-styles?sponsor=1" } }, - "node_modules/wrap-ansi/node_modules/strip-ansi": { - "version": "7.1.0", - "resolved": "https://registry.npmjs.org/strip-ansi/-/strip-ansi-7.1.0.tgz", - "integrity": "sha512-iq6eVVI64nQQTRYq2KtEg2d2uU7LElhTJwsH4YzIHZshxlgZms/wIc4VoDQTlG/IvVIrBKG06CrZnp0qv7hkcQ==", + "node_modules/wrap-ansi/node_modules/color-convert": { + "version": "2.0.1", + "resolved": "https://registry.npmjs.org/color-convert/-/color-convert-2.0.1.tgz", + "integrity": "sha512-RRECPsj7iu/xb5oKYcsFHSppFNnsj/52OVTRKb4zP5onXwVF3zVmmToNcOfGC+CRDpfK/U584fMg38ZHCaElKQ==", "dependencies": { - "ansi-regex": "^6.0.1" + "color-name": "~1.1.4" }, "engines": { - "node": ">=12" - }, - "funding": { - "url": "https://github.com/chalk/strip-ansi?sponsor=1" + "node": ">=7.0.0" } }, + "node_modules/wrap-ansi/node_modules/color-name": { + "version": "1.1.4", + "resolved": "https://registry.npmjs.org/color-name/-/color-name-1.1.4.tgz", + "integrity": "sha512-dOy+3AuW3a2wNbZHIuMZpTcgjGuLU/uBL/ubcZF9OXbDo8ff4O8yVp5Bf0efS8uEoYo5q4Fx7dY9OgQGXgAsQA==" + }, "node_modules/wrappy": { "version": "1.0.2", "resolved": "https://registry.npmjs.org/wrappy/-/wrappy-1.0.2.tgz", "integrity": "sha512-l4Sp/DRseor9wL6EvV2+TuQn63dMkPjZ/sp9XkghTEbV9KlPS1xUsZ3u7/IQO4wxtcFB4bgpQPRcR3QCvezPcQ==", - "dev": true + "devOptional": true }, "node_modules/ws": { - "version": "8.16.0", - "resolved": "https://registry.npmjs.org/ws/-/ws-8.16.0.tgz", - "integrity": "sha512-HS0c//TP7Ina87TfiPUz1rQzMhHrl/SG2guqRcTOIUYD2q8uhUdNHZYJUaQ8aTGPzCh+c6oawMKW35nFl1dxyQ==", + "version": "8.17.0", + "resolved": "https://registry.npmjs.org/ws/-/ws-8.17.0.tgz", + "integrity": "sha512-uJq6108EgZMAl20KagGkzCKfMEjxmKvZHG7Tlq0Z6nOky7YF7aq4mOx6xK8TJ/i1LeK4Qus7INktacctDgY8Ow==", "engines": { "node": ">=10.0.0" }, @@ -13199,15 +13796,32 @@ "node": ">=0.4" } }, + "node_modules/xycolors": { + "version": "0.1.1", + "resolved": "https://registry.npmjs.org/xycolors/-/xycolors-0.1.1.tgz", + "integrity": "sha512-BbRKWpz/87nNH4lXp6TbBFUT0QipzmJI7ksQpSpBb3ny8mGJgkiKk36bIr8VqfyTEhasEBsfbp/Cum37fIHnjA==", + "hasInstallScript": true, + "funding": { + "url": "https://github.com/sponsors/xinyao27" + } + }, + "node_modules/y18n": { + "version": "5.0.8", + "resolved": "https://registry.npmjs.org/y18n/-/y18n-5.0.8.tgz", + "integrity": "sha512-0pfFzegeDWJHJIAmTLRP2DwHjdF5s7jo9tuztdQxAhINCdvS+3nGINqPd00AphqJR/0LhANUS6/+7SCb98YOfA==", + "engines": { + "node": ">=10" + } + }, "node_modules/yallist": { "version": "3.1.1", "resolved": "https://registry.npmjs.org/yallist/-/yallist-3.1.1.tgz", "integrity": "sha512-a4UGQaWPH59mOXUYnAG2ewncQS4i4F43Tv3JoAM+s2VDAmS9NsK8GpDMLrCHPksFT7h3K6TOoUNn2pb7RoXx4g==" }, "node_modules/yaml": { - "version": "2.4.1", - "resolved": "https://registry.npmjs.org/yaml/-/yaml-2.4.1.tgz", - "integrity": "sha512-pIXzoImaqmfOrL7teGUBt/T7ZDnyeGBWyXQBvOVhLkWLN37GXv8NMLK406UY6dS51JfcQHsmcW5cJ441bHg6Lg==", + "version": "2.4.2", + "resolved": "https://registry.npmjs.org/yaml/-/yaml-2.4.2.tgz", + "integrity": "sha512-B3VqDZ+JAg1nZpaEmWtTXUlBneoGx6CPM9b0TENK6aoSu5t73dItudwdgmi6tHlIZZId4dZ9skcAQ2UbcyAeVA==", "bin": { "yaml": "bin.mjs" }, @@ -13215,6 +13829,31 @@ "node": ">= 14" } }, + "node_modules/yargs": { + "version": "17.7.2", + "resolved": "https://registry.npmjs.org/yargs/-/yargs-17.7.2.tgz", + "integrity": "sha512-7dSzzRQ++CKnNI/krKnYRV7JKKPUXMEh61soaHKg9mrWEhzFWhFnxPxGl+69cD1Ou63C13NUPCnmIcrvqCuM6w==", + "dependencies": { + "cliui": "^8.0.1", + "escalade": "^3.1.1", + "get-caller-file": "^2.0.5", + "require-directory": "^2.1.1", + "string-width": "^4.2.3", + "y18n": "^5.0.5", + "yargs-parser": "^21.1.1" + }, + "engines": { + "node": ">=12" + } + }, + "node_modules/yargs-parser": { + "version": "21.1.1", + "resolved": "https://registry.npmjs.org/yargs-parser/-/yargs-parser-21.1.1.tgz", + "integrity": "sha512-tVpsJW7DdjecAiFpbIB1e3qxIQsE6NoPc5/eTdrbbIC4h0LVsWhnoa3g+m2HclBIujHzsxZ4VJVA+GUuc2/LBw==", + "engines": { + "node": ">=12" + } + }, "node_modules/yocto-queue": { "version": "0.1.0", "resolved": "https://registry.npmjs.org/yocto-queue/-/yocto-queue-0.1.0.tgz", @@ -13228,9 +13867,9 @@ } }, "node_modules/zod": { - "version": "3.22.5", - "resolved": "https://registry.npmjs.org/zod/-/zod-3.22.5.tgz", - "integrity": "sha512-HqnGsCdVZ2xc0qWPLdO25WnseXThh0kEYKIdV5F/hTHO75hNZFp8thxSeHhiPrHZKrFTo1SOgkAj9po5bexZlw==", + "version": "3.23.8", + "resolved": "https://registry.npmjs.org/zod/-/zod-3.23.8.tgz", + "integrity": "sha512-XBx9AXhXktjUqnepgTiE5flcKIYWi/rme0Eaj+5Y0lftuGBq+jyRu/md4WnuxqgP1ubdpNCsYEYPxrzVHD8d6g==", "funding": { "url": "https://github.com/sponsors/colinhacks" } diff --git a/src/frontend/package.json b/src/frontend/package.json index 6e3fbd344..053a246ee 100644 --- a/src/frontend/package.json +++ b/src/frontend/package.json @@ -4,6 +4,7 @@ "private": true, "dependencies": { "@headlessui/react": "^1.7.17", + "@hookform/resolvers": "^3.3.4", "@million/lint": "^0.0.73", "@radix-ui/react-accordion": "^1.1.2", "@radix-ui/react-checkbox": "^1.0.4", @@ -26,6 +27,8 @@ "@tailwindcss/line-clamp": "^0.4.4", "@types/axios": "^0.14.0", "ace-builds": "^1.24.1", + "ag-grid-community": "^31.2.1", + "ag-grid-react": "^31.2.1", "ansi-to-html": "^0.7.2", "axios": "^1.5.0", "base64-js": "^1.5.1", @@ -35,20 +38,24 @@ "dompurify": "^3.0.5", "dotenv": "^16.4.5", "esbuild": "^0.17.19", + "file-saver": "^2.0.5", "framer-motion": "^11.0.6", "lodash": "^4.17.21", "lucide-react": "^0.331.0", "million": "^3.0.6", "moment": "^2.29.4", + "openseadragon": "^4.1.1", "playwright": "^1.42.0", - "react": "^18.2.0", + "react": "^18.2.21", "react-ace": "^10.1.0", "react-cookie": "^4.1.1", - "react-dom": "^18.2.0", + "react-dom": "^18.2.21", "react-error-boundary": "^4.0.11", + "react-hook-form": "^7.51.4", "react-icons": "^5.0.1", "react-laag": "^2.0.5", "react-markdown": "^8.0.7", + "react-pdf": "^7.7.1", "react-router-dom": "^6.15.0", "react-syntax-highlighter": "^15.5.0", "react18-json-view": "^0.2.3", @@ -63,6 +70,7 @@ "uuid": "^9.0.0", "vite-plugin-svgr": "^3.2.0", "web-vitals": "^2.1.4", + "zod": "^3.23.7", "zustand": "^4.4.7" }, "scripts": { @@ -70,9 +78,12 @@ "start": "vite", "build": "vite build", "serve": "vite preview", - "format": "npx prettier --write \"./**/*.{js,jsx,ts,tsx,json,md}\"", + "format": "npx prettier --write \"{docs,src}/**/*.{js,jsx,ts,tsx,json,md}\" --ignore-path .prettierignore", "type-check": "tsc --noEmit --pretty --project tsconfig.json && vite" }, + "simple-git-hooks": { + "pre-commit": "npx pretty-quick --staged" + }, "eslintConfig": { "extends": [ "react-app", @@ -93,7 +104,7 @@ }, "proxy": "http://127.0.0.1:7860", "devDependencies": { - "@playwright/test": "^1.42.0", + "@playwright/test": "^1.44.0", "@swc/cli": "^0.1.62", "@swc/core": "^1.3.80", "@tailwindcss/typography": "^0.5.9", @@ -116,6 +127,7 @@ "prettier-plugin-organize-imports": "^3.2.3", "prettier-plugin-tailwindcss": "^0.3.0", "pretty-quick": "^3.1.3", + "simple-git-hooks": "^2.11.1", "tailwindcss": "^3.3.3", "tailwindcss-dotted-background": "^1.1.0", "typescript": "^5.2.2", diff --git a/src/frontend/src/App.css b/src/frontend/src/App.css index 6aa681415..a4ff01961 100644 --- a/src/frontend/src/App.css +++ b/src/frontend/src/App.css @@ -11,6 +11,13 @@ body { text-align: center; } +.label { + user-select: none; + -webkit-user-select: none; /* Safari */ + -moz-user-select: none; /* Firefox */ + -ms-user-select: none; +} + .react-flow__node { width: auto; height: auto; @@ -76,6 +83,25 @@ body { height: 8px !important; border-radius: 10px; } +*::-webkit-scrollbar { + width: 8px !important; + height: 8px !important; + border-radius: 10px; +} + +::-webkit-scrollbar-track { + background-color: #f1f1f1 !important; + border-radius: 10px; +} + +::-webkit-scrollbar-thumb { + background-color: #ccc !important; + border-radius: 999px !important; +} + +::-webkit-scrollbar-thumb:hover { + background-color: #bbb !important; +} .jv-indent::-webkit-scrollbar-track { background-color: #f1f1f1 !important; @@ -96,6 +122,45 @@ body { } .custom-hover:hover { - background-color: rgba(99, 102, 241, 0.1); /* Medium indigo color with 20% opacity */ + background-color: rgba( + 99, + 102, + 241, + 0.1 + ); /* Medium indigo color with 20% opacity */ } +.json-view-playground .json-view { + background-color: #fff !important; +} + +.json-view-flow .json-view { + background-color: #bbb !important; +} + +.ag-body-horizontal-scroll-viewport, +.ag-body-vertical-scroll-viewport { + cursor: auto; +} + +.ag-body-horizontal-scroll-viewport::-webkit-scrollbar, +.ag-body-vertical-scroll-viewport::-webkit-scrollbar { + width: 8px; + height: 8px; +} + +.ag-body-horizontal-scroll-viewport::-webkit-scrollbar-track, +.ag-body-vertical-scroll-viewport::-webkit-scrollbar-track { + background-color: #f1f1f1; +} + +.ag-body-horizontal-scroll-viewport::-webkit-scrollbar-thumb, +.ag-body-vertical-scroll-viewport::-webkit-scrollbar-thumb { + background-color: #ccc; + border-radius: 999px; +} + +.ag-body-horizontal-scroll-viewport::-webkit-scrollbar-thumb:hover, +.ag-body-vertical-scroll-viewport::-webkit-scrollbar-thumb:hover { + background-color: #bbb; +} diff --git a/src/frontend/src/App.tsx b/src/frontend/src/App.tsx index 6c5af17df..db35073e8 100644 --- a/src/frontend/src/App.tsx +++ b/src/frontend/src/App.tsx @@ -6,7 +6,7 @@ import "./App.css"; import ErrorAlert from "./alerts/error"; import NoticeAlert from "./alerts/notice"; import SuccessAlert from "./alerts/success"; -import CrashErrorComponent from "./components/CrashErrorComponent"; +import CrashErrorComponent from "./components/crashErrorComponent"; import FetchErrorComponent from "./components/fetchErrorComponent"; import LoadingComponent from "./components/loadingComponent"; import { @@ -19,16 +19,16 @@ import Router from "./routes"; import useAlertStore from "./stores/alertStore"; import { useDarkStore } from "./stores/darkStore"; import useFlowsManagerStore from "./stores/flowsManagerStore"; -import { useGlobalVariablesStore } from "./stores/globalVariables"; +import { useFolderStore } from "./stores/foldersStore"; +import { useGlobalVariablesStore } from "./stores/globalVariablesStore/globalVariables"; import { useStoreStore } from "./stores/storeStore"; import { useTypesStore } from "./stores/typesStore"; - export default function App() { const removeFromTempNotificationList = useAlertStore( - (state) => state.removeFromTempNotificationList + (state) => state.removeFromTempNotificationList, ); const tempNotificationList = useAlertStore( - (state) => state.tempNotificationList + (state) => state.tempNotificationList, ); const [fetchError, setFetchError] = useState(false); const isLoading = useFlowsManagerStore((state) => state.isLoading); @@ -46,12 +46,15 @@ export default function App() { const refreshVersion = useDarkStore((state) => state.refreshVersion); const refreshStars = useDarkStore((state) => state.refreshStars); const setGlobalVariables = useGlobalVariablesStore( - (state) => state.setGlobalVariables + (state) => state.setGlobalVariables, ); const checkHasStore = useStoreStore((state) => state.checkHasStore); const navigate = useNavigate(); const dark = useDarkStore((state) => state.dark); + const getFoldersApi = useFolderStore((state) => state.getFoldersApi); + const loadingFolders = useFolderStore((state) => state.loading); + const [isLoadingHealth, setIsLoadingHealth] = useState(false); useEffect(() => { @@ -63,9 +66,10 @@ export default function App() { }, [dark]); useEffect(() => { + const abortController = new AbortController(); const isLoginPage = location.pathname.includes("login"); - autoLogin() + autoLogin(abortController.signal) .then(async (user) => { if (user && user["access_token"]) { user["refresh_token"] = "auto"; @@ -73,34 +77,54 @@ export default function App() { setUserData(user); setAutoLogin(true); setLoading(false); - await Promise.all([refreshStars(), refreshVersion(), fetchData()]); + fetchAllData(); } }) - .catch(async () => { - setAutoLogin(false); - if (isAuthenticated && !isLoginPage) { - getUser(); - await Promise.all([refreshStars(), refreshVersion(), fetchData()]); - } else { - setLoading(false); - useFlowsManagerStore.setState({ isLoading: false }); + .catch(async (error) => { + if (error.name !== "CanceledError") { + setAutoLogin(false); + if (isAuthenticated && !isLoginPage) { + getUser(); + fetchAllData(); + } else { + setLoading(false); + useFlowsManagerStore.setState({ isLoading: false }); + } } }); - }, [isAuthenticated]); + + /* + Abort the request as it isn't needed anymore, the component being + unmounted. It helps avoid, among other things, the well-known "can't + perform a React state update on an unmounted component" warning. + */ + return () => abortController.abort(); + }, []); + + const fetchAllData = async () => { + setTimeout(async () => { + await Promise.all([refreshStars(), refreshVersion(), fetchData()]); + getFoldersApi(); + }, 1000); + }; const fetchData = async () => { - if (isAuthenticated) { - try { - await getTypes(); - refreshFlows(); - const res = await getGlobalVariables(); - setGlobalVariables(res); - checkHasStore(); - fetchApiData(); - } catch (error) { - console.error("Failed to fetch data:", error); + return new Promise(async (resolve, reject) => { + if (isAuthenticated) { + try { + await getTypes(); + await refreshFlows(); + const res = await getGlobalVariables(); + setGlobalVariables(res); + checkHasStore(); + fetchApiData(); + resolve(); + } catch (error) { + console.error("Failed to fetch data:", error); + reject(); + } } - } + }); }; useEffect(() => { @@ -141,7 +165,7 @@ export default function App() { setFetchError(false); //This condition is necessary to avoid infinite loop on starter page when the application is not healthy if (isLoading === true && window.location.pathname === "/") { - navigate("/flows"); + navigate("/all"); window.location.reload(); } }; @@ -168,7 +192,7 @@ export default function App() { > } - {isLoading ? ( + {isLoading || loadingFolders ? (
diff --git a/src/frontend/src/boilerplate/raw-component/index.tsx b/src/frontend/src/boilerplate/raw-component/index.tsx new file mode 100644 index 000000000..0595c1808 --- /dev/null +++ b/src/frontend/src/boilerplate/raw-component/index.tsx @@ -0,0 +1,9 @@ +type RawComponentProps = {}; +const RawComponent = ({}: RawComponentProps) => { + return ( + <> +
RawComponent
+ + ); +}; +export default RawComponent; diff --git a/src/frontend/src/components/ImageViewer/index.tsx b/src/frontend/src/components/ImageViewer/index.tsx new file mode 100644 index 000000000..8433962a7 --- /dev/null +++ b/src/frontend/src/components/ImageViewer/index.tsx @@ -0,0 +1,162 @@ +import { saveAs } from "file-saver"; +import OpenSeadragon from "openseadragon"; +import { useEffect, useRef, useState } from "react"; +import { IMGViewErrorMSG, IMGViewErrorTitle } from "../../constants/constants"; +import useAlertStore from "../../stores/alertStore"; +import ForwardedIconComponent from "../genericIconComponent"; +import { Separator } from "../ui/separator"; + +export default function ImageViewer({ image }) { + const viewerRef = useRef(null); + const [errorDownloading, setErrordownloading] = useState(false); + const setErrorList = useAlertStore((state) => state.setErrorData); + const [initialMsg, setInicialMsg] = useState("Please build your flow"); + + useEffect(() => { + try { + if (viewerRef.current) { + // Initialize OpenSeadragon viewer + const viewer = OpenSeadragon({ + element: viewerRef.current, + prefixUrl: + "https://cdnjs.cloudflare.com/ajax/libs/openseadragon/2.4.2/images/", // Optional: Set the path to OpenSeadragon images + tileSources: { type: "image", url: image }, + defaultZoomLevel: 1, + maxZoomPixelRatio: 4, + showNavigationControl: false, + }); + const zoomInButton = document.getElementById("zoom-in-button"); + const zoomOutButton = document.getElementById("zoom-out-button"); + const homeButton = document.getElementById("home-button"); + const fullPageButton = document.getElementById("full-page-button"); + + zoomInButton!.addEventListener("click", () => + viewer.viewport.zoomBy(1.2), + ); + zoomOutButton!.addEventListener("click", () => + viewer.viewport.zoomBy(0.8), + ); + homeButton!.addEventListener("click", () => viewer.viewport.goHome()); + fullPageButton!.addEventListener("click", () => + viewer.setFullScreen(true), + ); + + // Optionally, you can set additional viewer options here + + // Cleanup function + return () => { + viewer.destroy(); + zoomInButton!.removeEventListener("click", () => + viewer.viewport.zoomBy(1.2), + ); + zoomOutButton!.removeEventListener("click", () => + viewer.viewport.zoomBy(0.8), + ); + homeButton!.removeEventListener("click", () => + viewer.viewport.goHome(), + ); + fullPageButton!.removeEventListener("click", () => + viewer.setFullScreen(true), + ); + }; + } + } catch (error) { + console.error("Error initializing OpenSeadragon:", error); + } + }, [image]); + + function download() { + const imageUrl = image; + // Fetch the image data + fetch(imageUrl) + .then((response) => response.blob()) + .then((blob) => { + // Save the image using FileSaver.js + saveAs(blob, "image.jpg"); + }) + .catch((error) => { + setErrorList({ title: "There was an error downloading your image" }); + console.error("Error downloading image:", error); + }); + } + + return image === "" ? ( +
+
+ + {IMGViewErrorTitle} +
+
+
+
{IMGViewErrorMSG}
+
+
+
+ ) : ( + <> +
+
+ +
+ +
+ +
+ +
+ +
+ +
+ +
+ +
+ + +
+
+
+ + ); +} diff --git a/src/frontend/src/components/accordionComponent/composite/folderAccordionComponent/index.tsx b/src/frontend/src/components/accordionComponent/composite/folderAccordionComponent/index.tsx new file mode 100644 index 000000000..d4fb95b5c --- /dev/null +++ b/src/frontend/src/components/accordionComponent/composite/folderAccordionComponent/index.tsx @@ -0,0 +1,72 @@ +import { useState } from "react"; +import IconComponent from "../../../../components/genericIconComponent"; +import { AccordionComponentType } from "../../../../types/components"; +import { + Accordion, + AccordionContent, + AccordionItem, + AccordionTrigger, +} from "../../../ui/custom-accordion"; + +export default function FolderAccordionComponent({ + trigger, + open = [], + keyValue, + options, +}: AccordionComponentType): JSX.Element { + const [value, setValue] = useState( + open.length === 0 ? "" : getOpenAccordion(), + ); + + function getOpenAccordion(): string { + let value = ""; + open.forEach((el) => { + if (el == trigger) { + value = trigger; + } + }); + + return value; + } + + function handleClick(): void { + value === "" ? setValue(keyValue!) : setValue(""); + } + + return ( + <> + + + { + handleClick(); + }} + className="px-2" + > + {trigger} + + + {options!.map((option, index) => ( +
+
+ ))} +
+
+
+ + ); +} diff --git a/src/frontend/src/components/AccordionComponent/index.tsx b/src/frontend/src/components/accordionComponent/index.tsx similarity index 92% rename from src/frontend/src/components/AccordionComponent/index.tsx rename to src/frontend/src/components/accordionComponent/index.tsx index fd9e42580..fdcf8b96c 100644 --- a/src/frontend/src/components/AccordionComponent/index.tsx +++ b/src/frontend/src/components/accordionComponent/index.tsx @@ -15,17 +15,16 @@ export default function AccordionComponent({ sideBar, }: AccordionComponentType): JSX.Element { const [value, setValue] = useState( - open.length === 0 ? "" : getOpenAccordion() + open.length === 0 ? "" : getOpenAccordion(), ); function getOpenAccordion(): string { let value = ""; open.forEach((el) => { - if (el == trigger) { - value = trigger; + if (el == keyValue) { + value = keyValue; } }); - return value; } diff --git a/src/frontend/src/components/addNewVariableButtonComponent/addNewVariableButton.tsx b/src/frontend/src/components/addNewVariableButtonComponent/addNewVariableButton.tsx index 8dab6420f..5da7d1461 100644 --- a/src/frontend/src/components/addNewVariableButtonComponent/addNewVariableButton.tsx +++ b/src/frontend/src/components/addNewVariableButtonComponent/addNewVariableButton.tsx @@ -2,7 +2,8 @@ import { useState } from "react"; import { registerGlobalVariable } from "../../controllers/API"; import BaseModal from "../../modals/baseModal"; import useAlertStore from "../../stores/alertStore"; -import { useGlobalVariablesStore } from "../../stores/globalVariables"; +import { useGlobalVariablesStore } from "../../stores/globalVariablesStore/globalVariables"; +import { useTypesStore } from "../../stores/typesStore"; import { ResponseErrorDetailAPI } from "../../types/api"; import ForwardedIconComponent from "../genericIconComponent"; import InputComponent from "../inputComponent"; @@ -10,31 +11,54 @@ import { Button } from "../ui/button"; import { Input } from "../ui/input"; import { Label } from "../ui/label"; import { Textarea } from "../ui/textarea"; +import sortByName from "./utils/sort-by-name"; //TODO IMPLEMENT FORM LOGIC export default function AddNewVariableButton({ children }): JSX.Element { const [key, setKey] = useState(""); const [value, setValue] = useState(""); - const [type, setType] = useState(""); + const [type, setType] = useState("Generic"); + const [fields, setFields] = useState([]); const [open, setOpen] = useState(false); const setErrorData = useAlertStore((state) => state.setErrorData); - const addGlobalVariable = useGlobalVariablesStore( - (state) => state.addGlobalVariable + const componentFields = useTypesStore((state) => state.ComponentFields); + const unavaliableFields = new Set( + Object.keys(useGlobalVariablesStore((state) => state.unavaliableFields)), ); + + const availableFields = () => { + const fields = Array.from(componentFields).filter( + (field) => !unavaliableFields.has(field), + ); + + return sortByName(fields); + }; + + const addGlobalVariable = useGlobalVariablesStore( + (state) => state.addGlobalVariable, + ); + function handleSaveVariable() { - let data: { name: string; value: string; type?: string } = { + let data: { + name: string; + value: string; + type?: string; + default_fields?: string[]; + } = { name: key, type, value, + default_fields: fields, }; registerGlobalVariable(data) .then((res) => { const { name, id, type } = res.data; - addGlobalVariable(name, id, type); + addGlobalVariable(name, id, type, fields); setKey(""); setValue(""); setType(""); + setFields([]); setOpen(false); }) .catch((error) => { @@ -79,16 +103,38 @@ export default function AddNewVariableButton({ children }): JSX.Element { password={false} options={["Generic", "Credential"]} placeholder="Choose a type for the variable..." + id={"type-global-variables"} > - + + )} + /> + + + + ( + + setSelectedFlows(value)} + selectedOptions={selectedFlows} + > + + )} + /> + + + ( + + setSelectedComponents(value)} + selectedOptions={selectedComponents} + > + + )} + /> +
+ + ); +}; + +export default FolderForms; diff --git a/src/frontend/src/modals/BundleModal/entities/index.ts b/src/frontend/src/modals/BundleModal/entities/index.ts new file mode 100644 index 000000000..64d69d38b --- /dev/null +++ b/src/frontend/src/modals/BundleModal/entities/index.ts @@ -0,0 +1,10 @@ +import { z } from "zod"; + +export const FolderFormsSchema = z.object({ + name: z.string().min(1, { + message: "Name must be at least 1 characters.", + }), + description: z.string().optional(), + components: z.array(z.string()), + flows: z.array(z.string()), +}); diff --git a/src/frontend/src/modals/BundleModal/hooks/submit-folder.tsx b/src/frontend/src/modals/BundleModal/hooks/submit-folder.tsx new file mode 100644 index 000000000..cb12ca7cb --- /dev/null +++ b/src/frontend/src/modals/BundleModal/hooks/submit-folder.tsx @@ -0,0 +1,53 @@ +import { addFolder, updateFolder } from "../../../pages/MainPage/services"; +import useAlertStore from "../../../stores/alertStore"; +import { useFolderStore } from "../../../stores/foldersStore"; + +const useFolderSubmit = (setOpen, folderToEdit) => { + const setSuccessData = useAlertStore((state) => state.setSuccessData); + const setErrorData = useAlertStore((state) => state.setErrorData); + const getFoldersApi = useFolderStore((state) => state.getFoldersApi); + + const onSubmit = (data) => { + if (folderToEdit) { + updateFolder(data, folderToEdit?.id!).then( + () => { + setSuccessData({ + title: "Folder updated successfully.", + }); + getFoldersApi(true); + setOpen(false); + }, + (reason) => { + if (reason) { + setErrorData({ + title: `Error updating folder.`, + }); + console.error(reason); + } else { + getFoldersApi(true); + setOpen(false); + } + }, + ); + } else { + addFolder(data).then( + () => { + setSuccessData({ + title: "Folder created successfully.", + }); + getFoldersApi(true); + setOpen(false); + }, + () => { + setErrorData({ + title: `Error creating folder.`, + }); + }, + ); + } + }; + + return { onSubmit, open, setOpen }; +}; + +export default useFolderSubmit; diff --git a/src/frontend/src/modals/BundleModal/index.tsx b/src/frontend/src/modals/BundleModal/index.tsx new file mode 100644 index 000000000..e901ba222 --- /dev/null +++ b/src/frontend/src/modals/BundleModal/index.tsx @@ -0,0 +1,79 @@ +import { zodResolver } from "@hookform/resolvers/zod"; +import { useForm } from "react-hook-form"; +import { z } from "zod"; +import ForwardedIconComponent from "../../components/genericIconComponent"; +import { Button } from "../../components/ui/button"; +import { Form } from "../../components/ui/form"; +import { useFolderStore } from "../../stores/foldersStore"; +import BaseModal from "../baseModal"; +import FolderForms from "./component"; +import { FolderFormsSchema } from "./entities"; +import useFolderSubmit from "./hooks/submit-folder"; + +type FoldersModalProps = { + open: boolean; + setOpen: (open: boolean) => void; +}; + +export default function FoldersModal({ + open, + setOpen, +}: FoldersModalProps): JSX.Element { + const form = useForm>({ + resolver: zodResolver(FolderFormsSchema), + defaultValues: { + name: "", + description: "", + components: [], + flows: [], + }, + mode: "all", + }); + + const folderToEdit = useFolderStore((state) => state.folderToEdit); + const { onSubmit: onSubmitFolder } = useFolderSubmit(setOpen, folderToEdit); + + const onSubmit = (data) => { + onSubmitFolder(data); + }; + + return ( + <> + + + + {folderToEdit ? "Edit" : "New"} Folder + + + +
+
+ + + + + + +
+
+
+ + ); +} diff --git a/src/frontend/src/modals/IOModal/components/IOFieldView/components/JSONInput/index.tsx b/src/frontend/src/modals/IOModal/components/IOFieldView/components/JSONInput/index.tsx new file mode 100644 index 000000000..25ed5a099 --- /dev/null +++ b/src/frontend/src/modals/IOModal/components/IOFieldView/components/JSONInput/index.tsx @@ -0,0 +1,45 @@ +import { useEffect, useRef } from "react"; +import JsonView from "react18-json-view"; +import { useDarkStore } from "../../../../../../stores/darkStore"; +import { DictComponentType } from "../../../../../../types/components"; + +export default function IoJsonInput({ + value = [], + onChange, + left, + output, +}: DictComponentType): JSX.Element { + useEffect(() => { + if (value) onChange(value); + }, [value]); + const isDark = useDarkStore((state) => state.dark); + + const ref = useRef(null); + ref.current = value; + + const getClassNames = () => { + if (!isDark && !left) return "json-view-playground-white"; + if (!isDark && left) return "json-view-playground-white-left"; + if (isDark && left) return "json-view-playground-dark-left"; + if (isDark && !left) return "json-view-playground-dark"; + }; + + return ( +
+ { + ref.current = edit["src"]; + }} + onChange={(edit) => { + ref.current = edit["src"]; + }} + src={ref.current} + /> +
+ ); +} diff --git a/src/frontend/src/modals/IOModal/components/IOFieldView/components/keyPairInput/index.tsx b/src/frontend/src/modals/IOModal/components/IOFieldView/components/keyPairInput/index.tsx new file mode 100644 index 000000000..2e95e78ef --- /dev/null +++ b/src/frontend/src/modals/IOModal/components/IOFieldView/components/keyPairInput/index.tsx @@ -0,0 +1,107 @@ +import _ from "lodash"; +import { useRef } from "react"; +import IconComponent from "../../../../../../components/genericIconComponent"; +import { Input } from "../../../../../../components/ui/input"; +import { classNames } from "../../../../../../utils/utils"; + +export type IOKeyPairInputProps = { + value: any; + onChange: (value: any) => void; + duplicateKey: boolean; + isList: boolean; + isInputField?: boolean; +}; + +const IOKeyPairInput = ({ + value, + onChange, + duplicateKey, + isList = true, + isInputField, +}: IOKeyPairInputProps) => { + const checkValueType = (value) => { + return Array.isArray(value) ? value : [value]; + }; + + const ref = useRef([]); + ref.current = + !value || value?.length === 0 ? [{ "": "" }] : checkValueType(value); + + const handleChangeKey = (event, idx) => { + const oldKey = Object.keys(ref.current[idx])[0]; + const updatedObj = { [event.target.value]: ref.current[idx][oldKey] }; + ref.current[idx] = updatedObj; + onChange(ref.current); + }; + + const handleChangeValue = (newValue, idx) => { + const key = Object.keys(ref.current[idx])[0]; + ref.current[idx][key] = newValue; + onChange(ref.current); + }; + + return ( + <> +
+ {ref.current?.map((obj, index) => { + return Object.keys(obj).map((key, idx) => { + return ( +
+ handleChangeKey(event, index)} + disabled={!isInputField} + /> + + + handleChangeValue(event.target.value, index) + } + disabled={!isInputField} + /> + + {isList && isInputField && index === ref.current.length - 1 ? ( + + ) : isList && isInputField ? ( + + ) : ( + "" + )} +
+ ); + }); + })} +
+ + ); +}; + +export default IOKeyPairInput; diff --git a/src/frontend/src/modals/IOModal/components/IOFieldView/index.tsx b/src/frontend/src/modals/IOModal/components/IOFieldView/index.tsx index ba8f83706..050f1acbb 100644 --- a/src/frontend/src/modals/IOModal/components/IOFieldView/index.tsx +++ b/src/frontend/src/modals/IOModal/components/IOFieldView/index.tsx @@ -1,9 +1,30 @@ import { cloneDeep } from "lodash"; +import { useState } from "react"; +import ImageViewer from "../../../../components/ImageViewer"; +import CsvOutputComponent from "../../../../components/csvOutputComponent"; +import InputListComponent from "../../../../components/inputListComponent"; +import PdfViewer from "../../../../components/pdfViewer"; +import RecordsOutputComponent from "../../../../components/recordsOutputComponent"; +import { + Select, + SelectContent, + SelectGroup, + SelectItem, + SelectTrigger, + SelectValue, +} from "../../../../components/ui/select"; import { Textarea } from "../../../../components/ui/textarea"; +import { PDFViewConstant } from "../../../../constants/constants"; import { InputOutput } from "../../../../constants/enums"; import useFlowStore from "../../../../stores/flowStore"; import { IOFieldViewProps } from "../../../../types/components"; +import { + convertValuesToNumbers, + hasDuplicateKeys, +} from "../../../../utils/reactflowUtils"; import IOFileInput from "./components/FileInput"; +import IoJsonInput from "./components/JSONInput"; +import IOKeyPairInput from "./components/keyPairInput"; export default function IOFieldView({ type, @@ -15,6 +36,21 @@ export default function IOFieldView({ const setNode = useFlowStore((state) => state.setNode); const flowPool = useFlowStore((state) => state.flowPool); const node = nodes.find((node) => node.id === fieldId); + const flowPoolNode = (flowPool[node!.id] ?? [])[ + (flowPool[node!.id]?.length ?? 1) - 1 + ]; + const handleChangeSelect = (e) => { + if (node) { + let newNode = cloneDeep(node); + if (newNode.data.node.template.separator) { + newNode.data.node.template.separator.value = e; + setNode(newNode.id, newNode); + } + } + }; + + const [errorDuplicateKey, setErrorDuplicateKey] = useState(false); + function handleOutputType() { if (!node) return <>"No node found!"; switch (type) { @@ -53,6 +89,57 @@ export default function IOFieldView({ /> ); + case "KeyPairInput": + return ( + { + if (node) { + let newNode = cloneDeep(node); + newNode.data.node!.template["input_value"].value = e; + setNode(node.id, newNode); + } + const valueToNumbers = convertValuesToNumbers(e); + setErrorDuplicateKey(hasDuplicateKeys(valueToNumbers)); + }} + duplicateKey={errorDuplicateKey} + isList={node.data.node!.template["input_value"]?.list ?? false} + isInputField + /> + ); + + case "JsonInput": + return ( + { + if (node) { + let newNode = cloneDeep(node); + newNode.data.node!.template["input_value"].value = e; + setNode(node.id, newNode); + } + }} + left={left} + /> + ); + + case "StringListInput": + return ( + <> + { + if (node) { + let newNode = cloneDeep(node); + newNode.data.node!.template["input_value"].value = e; + setNode(node.id, newNode); + } + }} + disabled={false} + /> + + ); + default: return ( + + )} + /> + {/* + + + ( + + setSelectedFlows(value)} + selectedOptions={selectedFlows} + > + + )} + /> + + + ( + + setSelectedComponents(value)} + selectedOptions={selectedComponents} + > + + )} + /> */} + + + ); +}; + +export default FolderForms; diff --git a/src/frontend/src/modals/foldersModal/entities/index.ts b/src/frontend/src/modals/foldersModal/entities/index.ts new file mode 100644 index 000000000..64d69d38b --- /dev/null +++ b/src/frontend/src/modals/foldersModal/entities/index.ts @@ -0,0 +1,10 @@ +import { z } from "zod"; + +export const FolderFormsSchema = z.object({ + name: z.string().min(1, { + message: "Name must be at least 1 characters.", + }), + description: z.string().optional(), + components: z.array(z.string()), + flows: z.array(z.string()), +}); diff --git a/src/frontend/src/modals/foldersModal/hooks/submit-folder.tsx b/src/frontend/src/modals/foldersModal/hooks/submit-folder.tsx new file mode 100644 index 000000000..71a8ac944 --- /dev/null +++ b/src/frontend/src/modals/foldersModal/hooks/submit-folder.tsx @@ -0,0 +1,60 @@ +import { useNavigate } from "react-router-dom"; +import { addFolder, updateFolder } from "../../../pages/MainPage/services"; +import useAlertStore from "../../../stores/alertStore"; +import { useFolderStore } from "../../../stores/foldersStore"; + +const useFolderSubmit = (setOpen, folderToEdit) => { + const setSuccessData = useAlertStore((state) => state.setSuccessData); + const setErrorData = useAlertStore((state) => state.setErrorData); + const getFoldersApi = useFolderStore((state) => state.getFoldersApi); + const navigate = useNavigate(); + + const onSubmit = (data) => { + if (folderToEdit) { + updateFolder(data, folderToEdit?.id!).then( + () => { + setSuccessData({ + title: "Folder updated successfully.", + }); + getFoldersApi(true); + setOpen(false); + navigate(`all/folder/${folderToEdit.id}`, { + state: { folderId: folderToEdit.id }, + }); + }, + //TODO: LOOK THIS ERRO MORE CAREFULLY + (reason) => { + if (reason) { + setErrorData({ + title: `Error updating folder.`, + }); + console.error(reason); + } else { + getFoldersApi(true); + setOpen(false); + } + }, + ); + } else { + addFolder(data).then( + (res) => { + setSuccessData({ + title: "Folder created successfully.", + }); + getFoldersApi(true); + setOpen(false); + navigate(`all/folder/${res.id}`, { state: { folderId: res.id } }); + }, + () => { + setErrorData({ + title: `Error creating folder.`, + }); + }, + ); + } + }; + + return { onSubmit, open, setOpen }; +}; + +export default useFolderSubmit; diff --git a/src/frontend/src/modals/foldersModal/index.tsx b/src/frontend/src/modals/foldersModal/index.tsx new file mode 100644 index 000000000..f6b5415f9 --- /dev/null +++ b/src/frontend/src/modals/foldersModal/index.tsx @@ -0,0 +1,79 @@ +import { zodResolver } from "@hookform/resolvers/zod"; +import { useForm } from "react-hook-form"; +import { z } from "zod"; +import ForwardedIconComponent from "../../components/genericIconComponent"; +import { Button } from "../../components/ui/button"; +import { Form } from "../../components/ui/form"; +import { useFolderStore } from "../../stores/foldersStore"; +import BaseModal from "../baseModal"; +import FolderForms from "./component"; +import { FolderFormsSchema } from "./entities"; +import useFolderSubmit from "./hooks/submit-folder"; + +type FoldersModalProps = { + open: boolean; + setOpen: (open: boolean) => void; +}; + +export default function FoldersModal({ + open, + setOpen, +}: FoldersModalProps): JSX.Element { + const form = useForm>({ + resolver: zodResolver(FolderFormsSchema), + defaultValues: { + name: "", + description: "", + components: [], + flows: [], + }, + mode: "all", + }); + + const folderToEdit = useFolderStore((state) => state.folderToEdit); + const { onSubmit: onSubmitFolder } = useFolderSubmit(setOpen, folderToEdit); + + const onSubmit = (data) => { + onSubmitFolder(data); + }; + + return ( + <> + + + + {folderToEdit ? "Edit" : "New"} Folder + + + +
+
+ + + + + + +
+
+
+ + ); +} diff --git a/src/frontend/src/modals/genericModal/index.tsx b/src/frontend/src/modals/genericModal/index.tsx index e00462218..0e111c548 100644 --- a/src/frontend/src/modals/genericModal/index.tsx +++ b/src/frontend/src/modals/genericModal/index.tsx @@ -1,7 +1,7 @@ import { useEffect, useRef, useState } from "react"; -import SanitizedHTMLWrapper from "../../components/SanitizedHTMLWrapper"; -import ShadTooltip from "../../components/ShadTooltipComponent"; import IconComponent from "../../components/genericIconComponent"; +import SanitizedHTMLWrapper from "../../components/sanitizedHTMLWrapper"; +import ShadTooltip from "../../components/shadTooltipComponent"; import { Badge } from "../../components/ui/badge"; import { Button } from "../../components/ui/button"; import { Textarea } from "../../components/ui/textarea"; @@ -24,8 +24,9 @@ import { postValidatePrompt } from "../../controllers/API"; import useAlertStore from "../../stores/alertStore"; import { genericModalPropsType } from "../../types/components"; import { handleKeyDown } from "../../utils/reactflowUtils"; -import { classNames, varHighlightHTML } from "../../utils/utils"; +import { classNames } from "../../utils/utils"; import BaseModal from "../baseModal"; +import varHighlightHTML from "./utils/var-highlight-html"; export default function GenericModal({ field_name = "", @@ -82,7 +83,7 @@ export default function GenericModal({ } const filteredWordsHighlight = matches.filter( - (word) => !invalid_chars.includes(word) + (word) => !invalid_chars.includes(word), ); setWordsHighlight(filteredWordsHighlight); @@ -133,7 +134,7 @@ export default function GenericModal({ // to the first key of the custom_fields object if (field_name === "") { field_name = Array.isArray( - apiReturn.data?.frontend_node?.custom_fields?.[""] + apiReturn.data?.frontend_node?.custom_fields?.[""], ) ? apiReturn.data?.frontend_node?.custom_fields?.[""][0] ?? "" : apiReturn.data?.frontend_node?.custom_fields?.[""] ?? ""; @@ -209,7 +210,7 @@ export default function GenericModal({
{type === TypeModal.PROMPT && isEdit && !readonly ? ( diff --git a/src/frontend/src/modals/genericModal/utils/var-highlight-html.tsx b/src/frontend/src/modals/genericModal/utils/var-highlight-html.tsx new file mode 100644 index 000000000..d88be4965 --- /dev/null +++ b/src/frontend/src/modals/genericModal/utils/var-highlight-html.tsx @@ -0,0 +1,6 @@ +import { IVarHighlightType } from "../../../types/components"; + +export default function varHighlightHTML({ name }: IVarHighlightType): string { + const html = `{${name}}`; + return html; +} diff --git a/src/frontend/src/modals/NewFlowModal/components/NewFlowCardComponent/index.tsx b/src/frontend/src/modals/newFlowModal/components/NewFlowCardComponent/index.tsx similarity index 70% rename from src/frontend/src/modals/NewFlowModal/components/NewFlowCardComponent/index.tsx rename to src/frontend/src/modals/newFlowModal/components/NewFlowCardComponent/index.tsx index 8fbd8ab8f..5d4a60385 100644 --- a/src/frontend/src/modals/NewFlowModal/components/NewFlowCardComponent/index.tsx +++ b/src/frontend/src/modals/newFlowModal/components/NewFlowCardComponent/index.tsx @@ -1,4 +1,4 @@ -import { useNavigate } from "react-router-dom"; +import { useLocation, useNavigate } from "react-router-dom"; import { Card, CardContent, @@ -6,15 +6,21 @@ import { CardTitle, } from "../../../../components/ui/card"; import useFlowsManagerStore from "../../../../stores/flowsManagerStore"; +import { useFolderStore } from "../../../../stores/foldersStore"; export default function NewFlowCardComponent() { const addFlow = useFlowsManagerStore((state) => state.addFlow); const navigate = useNavigate(); + const location = useLocation(); + const folderId = location?.state?.folderId; + const setFolderUrl = useFolderStore((state) => state.setFolderUrl); + return ( { addFlow(true).then((id) => { - navigate("/flow/" + id); + setFolderUrl(folderId ?? ""); + navigate(`/flow/${id}${folderId ? `/folder/${folderId}` : ""}`); }); }} className="h-64 w-80 cursor-pointer bg-background pt-4" diff --git a/src/frontend/src/modals/NewFlowModal/components/undrawCards/index.tsx b/src/frontend/src/modals/newFlowModal/components/undrawCards/index.tsx similarity index 90% rename from src/frontend/src/modals/NewFlowModal/components/undrawCards/index.tsx rename to src/frontend/src/modals/newFlowModal/components/undrawCards/index.tsx index 169890994..6f889a407 100644 --- a/src/frontend/src/modals/NewFlowModal/components/undrawCards/index.tsx +++ b/src/frontend/src/modals/newFlowModal/components/undrawCards/index.tsx @@ -1,4 +1,4 @@ -import { useNavigate } from "react-router-dom"; +import { useLocation, useNavigate } from "react-router-dom"; /// //@ts-ignore import { ReactComponent as TransferFiles } from "../../../../assets/undraw_transfer_files_re_a2a9.svg"; @@ -22,6 +22,7 @@ import { CardTitle, } from "../../../../components/ui/card"; import useFlowsManagerStore from "../../../../stores/flowsManagerStore"; +import { useFolderStore } from "../../../../stores/foldersStore"; import { UndrawCardComponentProps } from "../../../../types/components"; import { updateIds } from "../../../../utils/reactflowUtils"; @@ -30,6 +31,9 @@ export default function UndrawCardComponent({ }: UndrawCardComponentProps): JSX.Element { const addFlow = useFlowsManagerStore((state) => state.addFlow); const navigate = useNavigate(); + const location = useLocation(); + const folderId = location?.state?.folderId; + const setFolderUrl = useFolderStore((state) => state.setFolderUrl); function selectImage() { switch (flow.name) { @@ -111,7 +115,8 @@ export default function UndrawCardComponent({ onClick={() => { updateIds(flow.data!); addFlow(true, flow).then((id) => { - navigate("/flow/" + id); + setFolderUrl(folderId ?? ""); + navigate(`/flow/${id}${folderId ? `/folder/${folderId}` : ""}`); }); }} className="h-64 w-80 cursor-pointer bg-background pt-4" diff --git a/src/frontend/src/modals/NewFlowModal/index.tsx b/src/frontend/src/modals/newFlowModal/index.tsx similarity index 83% rename from src/frontend/src/modals/NewFlowModal/index.tsx rename to src/frontend/src/modals/newFlowModal/index.tsx index aec939251..f9d1f98b2 100644 --- a/src/frontend/src/modals/NewFlowModal/index.tsx +++ b/src/frontend/src/modals/newFlowModal/index.tsx @@ -10,7 +10,7 @@ export default function NewFlowModal({ }: newFlowModalPropsType): JSX.Element { const examples = useFlowsManagerStore((state) => state.examples); - examples.forEach((example) => { + examples?.forEach((example) => { if (example.name === "Blog Writter") { example.name = "Blog Writer"; } @@ -22,24 +22,17 @@ export default function NewFlowModal({ Get Started - {/*
- - ) : ( -
- {isLoading === false && data?.length > 0 ? ( - data?.map((item, idx) => ( - { - removeFlow(item.id); - setSuccessData({ - title: `${ - item.is_component ? "Component" : "Flow" - } deleted successfully!`, - }); - resetFilter(); - }} - key={idx} - data={item} - disabled={isLoading} - button={ - !is_component ? ( - - - - ) : ( - <> - ) - } - /> - )) - ) : ( - <> - - - - )} -
- )} - - {!isLoading && data.length > 0 && ( -
- (f.is_component ?? false) === is_component) - .length - } - paginate={(pageSize, pageIndex) => { - setPageIndex(pageIndex); - setPageSize(pageSize); - }} - > -
- )} - - - ); -} diff --git a/src/frontend/src/pages/MainPage/components/componentsComponent/index.tsx b/src/frontend/src/pages/MainPage/components/componentsComponent/index.tsx new file mode 100644 index 000000000..62b96a9bc --- /dev/null +++ b/src/frontend/src/pages/MainPage/components/componentsComponent/index.tsx @@ -0,0 +1,303 @@ +import { cloneDeep } from "lodash"; +import { useEffect, useMemo, useState } from "react"; +import { FormProvider, useForm, useWatch } from "react-hook-form"; +import { Link, useLocation, useNavigate } from "react-router-dom"; +import CollectionCardComponent from "../../../../components/cardComponent"; +import CardsWrapComponent from "../../../../components/cardsWrapComponent"; +import IconComponent from "../../../../components/genericIconComponent"; +import PaginatorComponent from "../../../../components/paginatorComponent"; +import { SkeletonCardComponent } from "../../../../components/skeletonCardComponent"; +import { Button } from "../../../../components/ui/button"; +import DeleteConfirmationModal from "../../../../modals/deleteConfirmationModal"; +import useAlertStore from "../../../../stores/alertStore"; +import useFlowsManagerStore from "../../../../stores/flowsManagerStore"; +import { useFolderStore } from "../../../../stores/foldersStore"; +import { FlowType } from "../../../../types/flow"; +import useFileDrop from "../../hooks/use-on-file-drop"; +import { getNameByType } from "../../utils/get-name-by-type"; +import { sortFlows } from "../../utils/sort-flows"; +import EmptyComponent from "../emptyComponent"; +import HeaderComponent from "../headerComponent"; + +export default function ComponentsComponent({ + type = "all", +}: { + type?: string; +}) { + const uploadFlow = useFlowsManagerStore((state) => state.uploadFlow); + const removeFlow = useFlowsManagerStore((state) => state.removeFlow); + const isLoading = useFlowsManagerStore((state) => state.isLoading); + const setAllFlows = useFlowsManagerStore((state) => state.setAllFlows); + const allFlows = useFlowsManagerStore((state) => state.allFlows); + + const flowsFromFolder = useFolderStore( + (state) => state.selectedFolder?.flows, + ); + + const setSuccessData = useAlertStore((state) => state.setSuccessData); + const setErrorData = useAlertStore((state) => state.setErrorData); + const [openDelete, setOpenDelete] = useState(false); + const searchFlowsComponents = useFlowsManagerStore( + (state) => state.searchFlowsComponents, + ); + + const setSelectedFlowsComponentsCards = useFlowsManagerStore( + (state) => state.setSelectedFlowsComponentsCards, + ); + + const selectedFlowsComponentsCards = useFlowsManagerStore( + (state) => state.selectedFlowsComponentsCards, + ); + + const [handleFileDrop] = useFileDrop(uploadFlow, type)!; + const [pageSize, setPageSize] = useState(20); + const [pageIndex, setPageIndex] = useState(1); + const navigate = useNavigate(); + const location = useLocation(); + const all: FlowType[] = sortFlows(allFlows, type); + const start = (pageIndex - 1) * pageSize; + const end = start + pageSize; + const data: FlowType[] = all?.slice(start, end); + + const name = getNameByType(type); + + const folderId = location?.state?.folderId; + const getFolderById = useFolderStore((state) => state.getFolderById); + const myCollectionId = useFolderStore((state) => state.myCollectionId); + const getFoldersApi = useFolderStore((state) => state.getFoldersApi); + const setFolderUrl = useFolderStore((state) => state.setFolderUrl); + + useEffect(() => { + setFolderUrl(folderId ?? ""); + setSelectedFlowsComponentsCards([]); + handleSelectAll(false); + getFolderById(folderId ? folderId : myCollectionId); + }, [location]); + + useEffect(() => { + const newFlows = cloneDeep(flowsFromFolder!); + const filteredFlows = newFlows?.filter( + (f) => + f.name.toLowerCase().includes(searchFlowsComponents.toLowerCase()) || + f.description + .toLowerCase() + .includes(searchFlowsComponents.toLowerCase()), + ); + + if (searchFlowsComponents === "") { + setAllFlows(flowsFromFolder!); + } + + setAllFlows(filteredFlows); + }, [searchFlowsComponents]); + + const resetFilter = () => { + setPageIndex(1); + setPageSize(20); + }; + + const { getValues, control, setValue } = useForm(); + const entireFormValues = useWatch({ control }); + + const methods = useForm(); + const handleSelectAll = (select) => { + const flowsFromFolderIds = flowsFromFolder?.map((f) => f.id); + if (select) { + Object.keys(getValues()).forEach((key) => { + if (!flowsFromFolderIds?.includes(key)) return; + setValue(key, true); + }); + return; + } + + Object.keys(getValues()).forEach((key) => { + setValue(key, false); + }); + }; + + const handleSelectOptionsChange = () => { + const hasSelected = selectedFlowsComponentsCards?.length > 0; + if (!hasSelected) { + setErrorData({ + title: "No items selected", + list: ["Please select items to delete"], + }); + return; + } + setOpenDelete(true); + }; + + const handleDeleteMultiple = () => { + removeFlow(selectedFlowsComponentsCards) + .then(() => { + resetFilter(); + getFoldersApi(true); + if (!folderId || folderId === myCollectionId) { + getFolderById(folderId ? folderId : myCollectionId); + } + setSuccessData({ + title: "Selected items deleted successfully!", + }); + }) + .catch(() => { + setErrorData({ + title: "Error deleting items", + list: ["Please try again"], + }); + }); + }; + + useEffect(() => { + if (!entireFormValues || Object.keys(entireFormValues).length === 0) return; + const selectedFlows: string[] = Object.keys(entireFormValues).filter( + (key) => { + if (entireFormValues[key] === true) { + return true; + } + return false; + }, + ); + + setSelectedFlowsComponentsCards(selectedFlows); + }, [entireFormValues]); + + const getDescriptionModal = useMemo(() => { + const getTypeLabel = (type) => { + const labels = { + all: "item", + component: "component", + flow: "flow", + }; + return labels[type] || ""; + }; + + const getPluralizedLabel = (type) => { + const labels = { + all: "items", + component: "components", + flow: "flows", + }; + return labels[type] || ""; + }; + + if (selectedFlowsComponentsCards?.length === 1) { + return getTypeLabel(type); + } + return getPluralizedLabel(type); + }, [selectedFlowsComponentsCards, type]); + + const getTotalRowsCount = () => { + if (type === "all") return allFlows?.length; + + return allFlows?.filter( + (f) => (f.is_component ?? false) === (type === "component"), + )?.length; + }; + + return ( + <> + {allFlows?.length > 0 && ( + 0)} + /> + )} + + +
+
+ {!isLoading && data?.length === 0 ? ( + + ) : ( +
+ {isLoading === false && data?.length > 0 ? ( + <> + {data?.map((item) => ( + +
+ + + + ) : ( + <> + ) + } + onClick={ + !item.is_component + ? () => { + navigate("/flow/" + item.id); + } + : undefined + } + playground={!item.is_component} + control={control} + /> + +
+ ))} + + ) : ( + <> + + + + )} +
+ )} +
+ {!isLoading && data?.length > 0 && ( +
+ { + setPageIndex(pageIndex); + setPageSize(pageSize); + }} + > +
+ )} +
+
+ {openDelete && ( + + <> + + )} + + ); +} diff --git a/src/frontend/src/pages/MainPage/components/emptyComponent/index.tsx b/src/frontend/src/pages/MainPage/components/emptyComponent/index.tsx new file mode 100644 index 000000000..0655b6f47 --- /dev/null +++ b/src/frontend/src/pages/MainPage/components/emptyComponent/index.tsx @@ -0,0 +1,41 @@ +import { useNavigate } from "react-router-dom"; +import useFlowsManagerStore from "../../../../stores/flowsManagerStore"; + +type EmptyComponentProps = {}; + +const EmptyComponent = ({}: EmptyComponentProps) => { + const addFlow = useFlowsManagerStore((state) => state.addFlow); + const navigate = useNavigate(); + + return ( + <> +
+
+
+
+ Flows and components can be created using Langflow. +
+
+ New? + + + . + + 🚀 +
+
+
+
+ + ); +}; +export default EmptyComponent; diff --git a/src/frontend/src/pages/MainPage/components/headerComponent/index.tsx b/src/frontend/src/pages/MainPage/components/headerComponent/index.tsx new file mode 100644 index 000000000..5b556f162 --- /dev/null +++ b/src/frontend/src/pages/MainPage/components/headerComponent/index.tsx @@ -0,0 +1,85 @@ +import { useState } from "react"; +import IconComponent from "../../../../components/genericIconComponent"; +import { + Select, + SelectContent, + SelectGroup, + SelectItem, + SelectTrigger, + SelectValue, +} from "../../../../components/ui/select"; +import { Checkbox } from "../../../../components/ui/checkbox"; +import { Button } from "../../../../components/ui/button"; +import { cn } from "../../../../utils/utils"; +import ShadTooltip from "../../../../components/shadTooltipComponent"; + +type HeaderComponentProps = { + handleSelectAll: (select) => void; + handleDelete: () => void; + disableDelete: boolean; +}; + +const HeaderComponent = ({ + handleSelectAll, + handleDelete, + disableDelete, +}: HeaderComponentProps) => { + const [shouldSelectAll, setShouldSelectAll] = useState(true); + + const handleClick = () => { + handleSelectAll(shouldSelectAll); + setShouldSelectAll((prevState) => !prevState); + }; + + return ( + <> +
+ +
+
+ Select items to delete + ) : ( + Delete selected items + ) + } + > + + +
+
+
+ + ); +}; +export default HeaderComponent; diff --git a/src/frontend/src/pages/MainPage/components/modalsComponent/index.tsx b/src/frontend/src/pages/MainPage/components/modalsComponent/index.tsx new file mode 100644 index 000000000..496dfe286 --- /dev/null +++ b/src/frontend/src/pages/MainPage/components/modalsComponent/index.tsx @@ -0,0 +1,58 @@ +// Modals.tsx +import IconComponent from "../../../../components/genericIconComponent"; +import { Button } from "../../../../components/ui/button"; +import DeleteConfirmationModal from "../../../../modals/deleteConfirmationModal"; +import FoldersModal from "../../../../modals/foldersModal"; +import NewFlowModal from "../../../../modals/newFlowModal"; +import { cn } from "../../../../utils/utils"; + +interface ModalsProps { + openModal: boolean; + setOpenModal: (value: boolean) => void; + openFolderModal: boolean; + setOpenFolderModal: (value: boolean) => void; + openDeleteFolderModal: boolean; + setOpenDeleteFolderModal: (value: boolean) => void; + handleDeleteFolder: () => void; +} + +const ModalsComponent = ({ + openModal, + setOpenModal, + openFolderModal, + setOpenFolderModal, + openDeleteFolderModal, + setOpenDeleteFolderModal, + handleDeleteFolder, +}: ModalsProps) => ( + <> + {openModal && } + {openFolderModal && ( + + )} + {openDeleteFolderModal && ( + { + handleDeleteFolder(); + setOpenDeleteFolderModal(false); + }} + description="folder" + note={ + "Deleting the selected folder will remove all associated flows and components." + } + > + + + )} + +); + +export default ModalsComponent; diff --git a/src/frontend/src/pages/MainPage/components/myCollectionComponent/components/headerTabsSearchComponent/index.tsx b/src/frontend/src/pages/MainPage/components/myCollectionComponent/components/headerTabsSearchComponent/index.tsx new file mode 100644 index 000000000..8dca45f3c --- /dev/null +++ b/src/frontend/src/pages/MainPage/components/myCollectionComponent/components/headerTabsSearchComponent/index.tsx @@ -0,0 +1,65 @@ +import { useState } from "react"; +import useFlowsManagerStore from "../../../../../../stores/flowsManagerStore"; +import InputSearchComponent from "../inputSearchComponent"; +import TabsSearchComponent from "../tabsComponent"; +import { Button } from "../../../../../../components/ui/button"; +import ForwardedIconComponent from "../../../../../../components/genericIconComponent"; +import useAlertStore from "../../../../../../stores/alertStore"; +import { handleDownloadFolderFn } from "../../../../utils/handle-download-folder"; +import { useFolderStore } from "../../../../../../stores/foldersStore"; +import { useLocation } from "react-router-dom"; + +type HeaderTabsSearchComponentProps = {}; + +const HeaderTabsSearchComponent = ({}: HeaderTabsSearchComponentProps) => { + const location = useLocation(); + const myCollectionId = useFolderStore((state) => state.myCollectionId); + const folderId = location?.state?.folderId || myCollectionId; + const isLoading = useFlowsManagerStore((state) => state.isLoading); + const [tabActive, setTabActive] = useState("Flows"); + const setErrorData = useAlertStore((state) => state.setErrorData); + const allFlows = useFlowsManagerStore((state) => state.allFlows); + const [inputValue, setInputValue] = useState(""); + + const setSearchFlowsComponents = useFlowsManagerStore( + (state) => state.setSearchFlowsComponents, + ); + + const handleDownloadFolder = () => { + if (allFlows.length === 0) { + setErrorData({ + title: "Folder is empty", + list: [], + }); + return; + } + handleDownloadFolderFn(folderId); + }; + + return ( + <> +
+ { + setSearchFlowsComponents(e.target.value); + setInputValue(e.target.value); + }} + onKeyDown={(e) => { + if (e.key === "Enter") { + setSearchFlowsComponents(inputValue); + } + }} + /> + +
+ + ); +}; +export default HeaderTabsSearchComponent; diff --git a/src/frontend/src/pages/MainPage/components/myCollectionComponent/components/inputSearchComponent/index.tsx b/src/frontend/src/pages/MainPage/components/myCollectionComponent/components/inputSearchComponent/index.tsx new file mode 100644 index 000000000..77d7775fd --- /dev/null +++ b/src/frontend/src/pages/MainPage/components/myCollectionComponent/components/inputSearchComponent/index.tsx @@ -0,0 +1,71 @@ +import { ChangeEvent, KeyboardEvent } from "react"; +import { Input } from "../../../../../../components/ui/input"; +import useFlowsManagerStore from "../../../../../../stores/flowsManagerStore"; +import ForwardedIconComponent from "../../../../../../components/genericIconComponent"; + +type InputSearchComponentProps = { + loading: boolean; + divClasses?: string; + onChange: (e: ChangeEvent) => void; + onClick?: () => void; + value: string; + onKeyDown: (e: KeyboardEvent) => void; +}; + +const InputSearchComponent = ({ + loading, + divClasses, + onChange, + onClick, + value, + onKeyDown, +}: InputSearchComponentProps) => { + const pagePath = window.location.pathname; + const allFlows = useFlowsManagerStore((state) => state.allFlows); + const searchFlowsComponents = useFlowsManagerStore( + (state) => state.searchFlowsComponents, + ); + + const disableInputSearch = + loading || + !allFlows || + (allFlows?.length === 0 && searchFlowsComponents === ""); + + const getSearchPlaceholder = () => { + if (pagePath.includes("flows")) { + return "Search Flows"; + } else if (pagePath.includes("components")) { + return "Search Components"; + } else { + return "Search Flows and Components"; + } + }; + + return ( + <> +
+ + +
+ + ); +}; +export default InputSearchComponent; diff --git a/src/frontend/src/pages/MainPage/components/myCollectionComponent/components/tabsComponent/index.tsx b/src/frontend/src/pages/MainPage/components/myCollectionComponent/components/tabsComponent/index.tsx new file mode 100644 index 000000000..8a3bb5bae --- /dev/null +++ b/src/frontend/src/pages/MainPage/components/myCollectionComponent/components/tabsComponent/index.tsx @@ -0,0 +1,77 @@ +import { useEffect } from "react"; +import { useNavigate } from "react-router-dom"; +import { useFolderStore } from "../../../../../../stores/foldersStore"; + +type TabsSearchComponentProps = { + tabsOptions: string[]; + setActiveTab: (tab: string) => void; + loading: boolean; + tabActive: string; +}; + +const TabsSearchComponent = ({ + tabsOptions, + setActiveTab, + loading, + tabActive, +}: TabsSearchComponentProps) => { + const navigate = useNavigate(); + const folderUrl = useFolderStore((state) => state.folderUrl); + + const changeLocation = (tabOption) => { + const location = window.location.pathname; + let newLocation = ""; + switch (tabOption) { + case "Flows": + newLocation = location.replace(/components|all/, "flows"); + break; + case "Components": + newLocation = location.replace(/flows|all/, "components"); + break; + default: + newLocation = location.replace(/flows|components/, "all"); + break; + } + + navigate(newLocation, { state: { folderId: folderUrl } }); + }; + + useEffect(() => { + const path = window.location.pathname; + if (path.includes("components")) { + setActiveTab("Components"); + } else if (path.includes("flows")) { + setActiveTab("Flows"); + } else { + setActiveTab("All"); + } + }, [window.location.pathname]); + + return ( + <> +
+ {tabsOptions.map((tabOption, index) => { + return ( + + ); + })} +
+ + ); +}; +export default TabsSearchComponent; diff --git a/src/frontend/src/pages/MainPage/components/myCollectionComponent/index.tsx b/src/frontend/src/pages/MainPage/components/myCollectionComponent/index.tsx new file mode 100644 index 000000000..f61a48eb2 --- /dev/null +++ b/src/frontend/src/pages/MainPage/components/myCollectionComponent/index.tsx @@ -0,0 +1,19 @@ +import ComponentsComponent from "../componentsComponent"; +import HeaderTabsSearchComponent from "./components/headerTabsSearchComponent"; + +type MyCollectionComponentProps = { + key: string; + type: string; +}; + +const MyCollectionComponent = ({ key, type }: MyCollectionComponentProps) => { + return ( + <> + +
+ +
+ + ); +}; +export default MyCollectionComponent; diff --git a/src/frontend/src/pages/MainPage/entities/index.tsx b/src/frontend/src/pages/MainPage/entities/index.tsx new file mode 100644 index 000000000..74c3c773f --- /dev/null +++ b/src/frontend/src/pages/MainPage/entities/index.tsx @@ -0,0 +1,26 @@ +import { FlowType } from "../../../types/flow"; + +export type FolderType = { + name: string; + description: string; + id?: string | null; + parent_id: string; + flows: FlowType[]; +}; + +export type AddFolderType = { + name: string; + description: string; + id?: string | null; + parent_id: string; + flows?: string[]; + components?: string[]; +}; + +export type StarterProjectsType = { + name?: string; + description?: string; + flows?: FlowType[]; + id: string; + parent_id: string; +}; diff --git a/src/frontend/src/pages/MainPage/hooks/use-delete-folder.tsx b/src/frontend/src/pages/MainPage/hooks/use-delete-folder.tsx new file mode 100644 index 000000000..257f1b6d2 --- /dev/null +++ b/src/frontend/src/pages/MainPage/hooks/use-delete-folder.tsx @@ -0,0 +1,32 @@ +import useAlertStore from "../../../stores/alertStore"; +import { useFolderStore } from "../../../stores/foldersStore"; +import { deleteFolder, getFolderById } from "../services"; + +const useDeleteFolder = ({ navigate, getFoldersApi }) => { + const setSuccessData = useAlertStore((state) => state.setSuccessData); + const setErrorData = useAlertStore((state) => state.setErrorData); + const folderToEdit = useFolderStore((state) => state.folderToEdit); + const myCollectionId = useFolderStore((state) => state.myCollectionId); + + const handleDeleteFolder = () => { + deleteFolder(folderToEdit?.id!) + .then(() => { + setSuccessData({ + title: "Folder deleted successfully.", + }); + getFolderById(myCollectionId!); + getFoldersApi(true); + navigate("/all"); + }) + .catch((err) => { + console.error(err); + setErrorData({ + title: "Error deleting folder.", + }); + }); + }; + + return { handleDeleteFolder }; +}; + +export default useDeleteFolder; diff --git a/src/frontend/src/pages/MainPage/hooks/use-dropdown-options.tsx b/src/frontend/src/pages/MainPage/hooks/use-dropdown-options.tsx new file mode 100644 index 000000000..69e2c2df3 --- /dev/null +++ b/src/frontend/src/pages/MainPage/hooks/use-dropdown-options.tsx @@ -0,0 +1,36 @@ +import { CONSOLE_ERROR_MSG } from "../../../constants/alerts_constants"; +import useAlertStore from "../../../stores/alertStore"; + +const useDropdownOptions = ({ uploadFlow, navigate, is_component }) => { + const setSuccessData = useAlertStore((state) => state.setSuccessData); + const setErrorData = useAlertStore((state) => state.setErrorData); + const handleImportFromJSON = () => { + uploadFlow({ + newProject: true, + isComponent: is_component, + }) + .then((id) => { + setSuccessData({ + title: `${is_component ? "Component" : "Flow"} uploaded successfully`, + }); + if (!is_component) navigate("/flow/" + id); + }) + .catch((error) => { + setErrorData({ + title: CONSOLE_ERROR_MSG, + list: [error], + }); + }); + }; + + const dropdownOptions = [ + { + name: "Import from JSON", + onBtnClick: handleImportFromJSON, + }, + ]; + + return [...dropdownOptions]; +}; + +export default useDropdownOptions; diff --git a/src/frontend/src/pages/MainPage/hooks/use-on-file-drop.tsx b/src/frontend/src/pages/MainPage/hooks/use-on-file-drop.tsx new file mode 100644 index 000000000..c0b898dfa --- /dev/null +++ b/src/frontend/src/pages/MainPage/hooks/use-on-file-drop.tsx @@ -0,0 +1,64 @@ +import { useLocation } from "react-router-dom"; +import { + CONSOLE_ERROR_MSG, + UPLOAD_ALERT_LIST, + WRONG_FILE_ERROR_ALERT, +} from "../../../constants/alerts_constants"; +import useAlertStore from "../../../stores/alertStore"; +import { useFolderStore } from "../../../stores/foldersStore"; + +const useFileDrop = (uploadFlow, type) => { + const location = useLocation(); + const setSuccessData = useAlertStore((state) => state.setSuccessData); + const setErrorData = useAlertStore((state) => state.setErrorData); + const getFolderById = useFolderStore((state) => state.getFolderById); + const folderId = location?.state?.folderId; + const myCollectionId = useFolderStore((state) => state.myCollectionId); + + const handleFileDrop = (e) => { + e.preventDefault(); + if (e.dataTransfer.types.some((type) => type === "Files")) { + const file = e.dataTransfer.files.item(0); + + if (file.type === "application/json") { + const reader = new FileReader(); + + reader.onload = (event) => { + const fileContent = event.target!.result; + const fileContentJson = JSON.parse(fileContent as string); + const is_component = fileContentJson.is_component; + uploadFlow({ + newProject: true, + file: file, + isComponent: type === "all" ? null : type === "component", + }) + .then(() => { + setSuccessData({ + title: `${ + is_component ? "Component" : "Flow" + } uploaded successfully`, + }); + getFolderById(folderId ? folderId : myCollectionId); + }) + .catch((error) => { + setErrorData({ + title: CONSOLE_ERROR_MSG, + list: [error], + }); + }); + }; + + reader.readAsText(file); + } else { + setErrorData({ + title: WRONG_FILE_ERROR_ALERT, + list: [UPLOAD_ALERT_LIST], + }); + } + } + }; + + return [handleFileDrop]; +}; + +export default useFileDrop; diff --git a/src/frontend/src/pages/MainPage/index.tsx b/src/frontend/src/pages/MainPage/index.tsx deleted file mode 100644 index e7aa678e7..000000000 --- a/src/frontend/src/pages/MainPage/index.tsx +++ /dev/null @@ -1,121 +0,0 @@ -import { Group, ToyBrick } from "lucide-react"; -import { useEffect, useState } from "react"; -import { Outlet, useLocation, useNavigate } from "react-router-dom"; -import DropdownButton from "../../components/DropdownButtonComponent"; -import IconComponent from "../../components/genericIconComponent"; -import PageLayout from "../../components/pageLayout"; -import SidebarNav from "../../components/sidebarComponent"; -import { Button } from "../../components/ui/button"; -import { CONSOLE_ERROR_MSG } from "../../constants/alerts_constants"; -import { - MY_COLLECTION_DESC, - USER_PROJECTS_HEADER, -} from "../../constants/constants"; -import NewFlowModal from "../../modals/NewFlowModal"; -import useAlertStore from "../../stores/alertStore"; -import useFlowsManagerStore from "../../stores/flowsManagerStore"; -import { downloadFlows } from "../../utils/reactflowUtils"; -export default function HomePage(): JSX.Element { - const uploadFlow = useFlowsManagerStore((state) => state.uploadFlow); - const setCurrentFlowId = useFlowsManagerStore( - (state) => state.setCurrentFlowId - ); - const uploadFlows = useFlowsManagerStore((state) => state.uploadFlows); - const setSuccessData = useAlertStore((state) => state.setSuccessData); - const setErrorData = useAlertStore((state) => state.setErrorData); - const location = useLocation(); - const pathname = location.pathname; - const [openModal, setOpenModal] = useState(false); - const is_component = pathname === "/components"; - const dropdownOptions = [ - { - name: "Import from JSON", - onBtnClick: () => { - uploadFlow({ - newProject: true, - isComponent: is_component, - }) - .then((id) => { - setSuccessData({ - title: `${ - is_component ? "Component" : "Flow" - } uploaded successfully`, - }); - if (!is_component) navigate("/flow/" + id); - }) - .catch((error) => { - setErrorData({ - title: CONSOLE_ERROR_MSG, - list: [error], - }); - }); - }, - }, - ]; - const sidebarNavItems = [ - { - title: "Flows", - href: "/flows", - icon: , - }, - { - title: "Components", - href: "/components", - icon: , - }, - ]; - - // Set a null id - useEffect(() => { - setCurrentFlowId(""); - }, [pathname]); - - const navigate = useNavigate(); - - // Personal flows display - return ( - - - - setOpenModal(true)} - options={dropdownOptions} - plusButton={true} - dropdownOptions={false} - /> - - } - > -
- -
- -
-
- -
- ); -} diff --git a/src/frontend/src/pages/MainPage/pages/mainPage/index.tsx b/src/frontend/src/pages/MainPage/pages/mainPage/index.tsx new file mode 100644 index 000000000..e9dc14137 --- /dev/null +++ b/src/frontend/src/pages/MainPage/pages/mainPage/index.tsx @@ -0,0 +1,105 @@ +import { useEffect, useState } from "react"; +import { Outlet, useLocation, useNavigate } from "react-router-dom"; +import DropdownButton from "../../../../components/dropdownButtonComponent"; +import PageLayout from "../../../../components/pageLayout"; +import SidebarNav from "../../../../components/sidebarComponent"; +import { + MY_COLLECTION_DESC, + USER_PROJECTS_HEADER, +} from "../../../../constants/constants"; +import useFlowsManagerStore from "../../../../stores/flowsManagerStore"; +import { useFolderStore } from "../../../../stores/foldersStore"; +import ModalsComponent from "../../components/modalsComponent"; +import useDeleteFolder from "../../hooks/use-delete-folder"; +import useDropdownOptions from "../../hooks/use-dropdown-options"; + +export default function HomePage(): JSX.Element { + const uploadFlow = useFlowsManagerStore((state) => state.uploadFlow); + const setCurrentFlowId = useFlowsManagerStore( + (state) => state.setCurrentFlowId, + ); + + const location = useLocation(); + const pathname = location.pathname; + const [openModal, setOpenModal] = useState(false); + const [openFolderModal, setOpenFolderModal] = useState(false); + const [openDeleteFolderModal, setOpenDeleteFolderModal] = useState(false); + const is_component = pathname === "/components"; + const getFoldersApi = useFolderStore((state) => state.getFoldersApi); + const setFolderToEdit = useFolderStore((state) => state.setFolderToEdit); + const navigate = useNavigate(); + + useEffect(() => { + setTimeout(() => { + getFoldersApi(); + }, 300); + }, []); + + useEffect(() => { + setCurrentFlowId(""); + }, [pathname]); + + const dropdownOptions = useDropdownOptions({ + uploadFlow, + navigate, + is_component, + }); + + const { handleDeleteFolder } = useDeleteFolder({ navigate, getFoldersApi }); + + return ( + <> + + setOpenModal(true)} + options={dropdownOptions} + plusButton={true} + dropdownOptions={false} + /> + + } + > +
+ +
+ +
+
+
+ + + ); +} diff --git a/src/frontend/src/pages/MainPage/services/index.ts b/src/frontend/src/pages/MainPage/services/index.ts new file mode 100644 index 000000000..a554cd1d9 --- /dev/null +++ b/src/frontend/src/pages/MainPage/services/index.ts @@ -0,0 +1,121 @@ +import { BASE_URL_API } from "../../../constants/constants"; +import { api } from "../../../controllers/API/api"; +import { FlowType } from "../../../types/flow"; +import { AddFolderType, FolderType, StarterProjectsType } from "../entities"; + +export async function getFolders(): Promise { + try { + const response = await api.get(`${BASE_URL_API}folders/`); + return response?.data; + } catch (error) { + throw error; + } +} + +export async function addFolder(data: AddFolderType): Promise { + const body = { + name: data.name, + description: data.description, + flows_list: data.flows ?? [], + components_list: data.components ?? [], + }; + + try { + const response = await api.post(`${BASE_URL_API}folders/`, body); + return response?.data; + } catch (error) { + throw error; + } +} + +export async function updateFolder( + body: FolderType, + folderId: string, +): Promise { + try { + const response = await api.patch( + `${BASE_URL_API}folders/${folderId}`, + body, + ); + return response?.data; + } catch (error) { + throw error; + } +} + +export async function deleteFolder(folderId: string) { + try { + const response = await api.delete(`${BASE_URL_API}folders/${folderId}`); + return response?.data; + } catch (error) { + throw error; + } +} + +export async function getFolderById(folderId: string): Promise { + try { + const response = await api.get(`${BASE_URL_API}folders/${folderId}`); + return response?.data; + } catch (error) { + throw error; + } +} + +export async function getStarterProjects(): Promise { + try { + const response = await api.get(`${BASE_URL_API}folders/starter-projects`); + return response?.data; + } catch (error) { + throw error; + } +} + +export async function downloadFlowsFromFolders(folderId: string): Promise<{ + flows: FlowType[]; + folder_name: string; + folder_description: string; +}> { + try { + const response = await api.get( + `${BASE_URL_API}folders/download/${folderId}`, + ); + if (response?.status !== 200) { + throw new Error(`HTTP error! status: ${response?.status}`); + } + console.log(response.data); + return response.data; + } catch (error) { + console.error(error); + throw error; + } +} + +export async function uploadFlowsFromFolders( + flows: FormData, +): Promise { + try { + const response = await api.post(`${BASE_URL_API}folders/upload/`, flows); + + if (response?.status !== 201) { + throw new Error(`HTTP error! status: ${response?.status}`); + } + return response.data; + } catch (error) { + console.error(error); + throw error; + } +} + +export async function moveFlowToFolder( + flowId: string, + folderId: string, +): Promise { + try { + const response = await api.patch( + `${BASE_URL_API}folders/move_to_folder/${flowId}/${folderId}`, + ); + return response?.data; + } catch (error) { + throw error; + } +} diff --git a/src/frontend/src/pages/MainPage/utils/get-name-by-type.ts b/src/frontend/src/pages/MainPage/utils/get-name-by-type.ts new file mode 100644 index 000000000..a2a495fa9 --- /dev/null +++ b/src/frontend/src/pages/MainPage/utils/get-name-by-type.ts @@ -0,0 +1,10 @@ +export const getNameByType = (type: string) => { + switch (type) { + case "all": + return "Component or Flow"; + case "component": + return "Component"; + default: + return "Flow"; + } +}; diff --git a/src/frontend/src/pages/MainPage/utils/handle-download-folder.ts b/src/frontend/src/pages/MainPage/utils/handle-download-folder.ts new file mode 100644 index 000000000..6817622d0 --- /dev/null +++ b/src/frontend/src/pages/MainPage/utils/handle-download-folder.ts @@ -0,0 +1,23 @@ +import { useFolderStore } from "../../../stores/foldersStore"; +import { downloadFlowsFromFolders } from "../services"; + +export function handleDownloadFolderFn(folderId: string) { + downloadFlowsFromFolders(folderId).then((data) => { + const folders = useFolderStore.getState().folders; + + const folder = folders.find((f) => f.id === folderId); + + data.folder_name = folder?.name || "folder"; + data.folder_description = folder?.description || ""; + + const jsonString = `data:text/json;chatset=utf-8,${encodeURIComponent( + JSON.stringify(data), + )}`; + + const link = document.createElement("a"); + link.href = jsonString; + link.download = `${data.folder_name}.json`; + + link.click(); + }); +} diff --git a/src/frontend/src/pages/MainPage/utils/sort-flows.ts b/src/frontend/src/pages/MainPage/utils/sort-flows.ts new file mode 100644 index 000000000..1b8825102 --- /dev/null +++ b/src/frontend/src/pages/MainPage/utils/sort-flows.ts @@ -0,0 +1,25 @@ +export const sortFlows = (flows, type) => { + const isComponent = type === "component"; + + const sortByDate = (a, b) => { + const dateA = a?.updated_at || a?.date_created; + const dateB = b?.updated_at || b?.date_created; + + if (dateA && dateB) { + return new Date(dateB).getTime() - new Date(dateA).getTime(); + } else if (dateA) { + return 1; + } else if (dateB) { + return -1; + } else { + return 0; + } + }; + + const filteredFlows = + type === "all" + ? flows + : flows?.filter((f) => (f?.is_component ?? false) === isComponent); + + return filteredFlows?.sort(sortByDate) ?? []; +}; diff --git a/src/frontend/src/pages/Playground/index.tsx b/src/frontend/src/pages/Playground/index.tsx new file mode 100644 index 000000000..b65c64c66 --- /dev/null +++ b/src/frontend/src/pages/Playground/index.tsx @@ -0,0 +1,69 @@ +import { useEffect, useState } from "react"; +import { useParams } from "react-router-dom"; +import LoadingComponent from "../../components/loadingComponent"; +import { getComponent } from "../../controllers/API"; +import IOModal from "../../modals/IOModal"; +import useFlowStore from "../../stores/flowStore"; +import useFlowsManagerStore from "../../stores/flowsManagerStore"; +import cloneFLowWithParent from "../../utils/storeUtils"; + +export default function PlaygroundPage() { + const currentFlow = useFlowsManagerStore((state) => state.currentFlow); + const getFlowById = useFlowsManagerStore((state) => state.getFlowById); + const setCurrentFlowId = useFlowsManagerStore( + (state) => state.setCurrentFlowId, + ); + const currentFlowId = useFlowsManagerStore((state) => state.currentFlowId); + const setCurrentFlow = useFlowsManagerStore((state) => state.setCurrentFlow); + const setNodes = useFlowStore((state) => state.setNodes); + const setEdges = useFlowStore((state) => state.setEdges); + const cleanFlowPool = useFlowStore((state) => state.CleanFlowPool); + + const { id } = useParams(); + const [loading, setLoading] = useState(true); + async function getFlowData() { + const res = await getComponent(id!); + const newFlow = cloneFLowWithParent(res, res.id, false, true); + return newFlow; + } + + // Set flow tab id + useEffect(() => { + console.log("id", id); + if (getFlowById(id!)) { + setCurrentFlowId(id!); + } else { + getFlowData().then((flow) => { + setCurrentFlow(flow); + }); + } + }, [id]); + + useEffect(() => { + if (currentFlow) { + setNodes(currentFlow?.data?.nodes ?? [], true); + setEdges(currentFlow?.data?.edges ?? [], true); + cleanFlowPool(); + setLoading(false); + } + return () => { + setNodes([], true); + setEdges([], true); + cleanFlowPool(); + }; + }, [currentFlow]); + + return ( +
+ {loading ? ( +
+ +
+ ) : ( + {}} isPlayground> + <> + + )} +
+ ); +} diff --git a/src/frontend/src/pages/SettingsPage/index.tsx b/src/frontend/src/pages/SettingsPage/index.tsx new file mode 100644 index 000000000..e4f856599 --- /dev/null +++ b/src/frontend/src/pages/SettingsPage/index.tsx @@ -0,0 +1,62 @@ +import { useEffect } from "react"; +import { Outlet } from "react-router-dom"; +import ForwardedIconComponent from "../../components/genericIconComponent"; +import PageLayout from "../../components/pageLayout"; +import SidebarNav from "../../components/sidebarComponent"; +import useFlowsManagerStore from "../../stores/flowsManagerStore"; + +export default function SettingsPage(): JSX.Element { + const pathname = location.pathname; + const setCurrentFlowId = useFlowsManagerStore( + (state) => state.setCurrentFlowId, + ); + useEffect(() => { + setCurrentFlowId(""); + }, [pathname]); + + const sidebarNavItems = [ + { + title: "General", + href: "/settings/general", + icon: ( + + ), + }, + + { + title: "Global Variables", + href: "/settings/global-variables", + icon: ( + + ), + }, + { + title: "Shortcuts", + href: "/settings/shortcuts", + icon: ( + + ), + }, + ]; + return ( + +
+ +
+ +
+
+
+ ); +} diff --git a/src/frontend/src/pages/SettingsPage/pages/GeneralPage/index.tsx b/src/frontend/src/pages/SettingsPage/pages/GeneralPage/index.tsx new file mode 100644 index 000000000..5c53e0aa8 --- /dev/null +++ b/src/frontend/src/pages/SettingsPage/pages/GeneralPage/index.tsx @@ -0,0 +1,223 @@ +import * as Form from "@radix-ui/react-form"; +import { cloneDeep } from "lodash"; +import { useContext, useEffect, useState } from "react"; +import ForwardedIconComponent from "../../../../components/genericIconComponent"; +import GradientChooserComponent from "../../../../components/gradientChooserComponent"; +import InputComponent from "../../../../components/inputComponent"; +import { Button } from "../../../../components/ui/button"; +import { + Card, + CardContent, + CardDescription, + CardFooter, + CardHeader, + CardTitle, +} from "../../../../components/ui/card"; +import { + EDIT_PASSWORD_ALERT_LIST, + EDIT_PASSWORD_ERROR_ALERT, + SAVE_ERROR_ALERT, + SAVE_SUCCESS_ALERT, +} from "../../../../constants/alerts_constants"; +import { CONTROL_PATCH_USER_STATE } from "../../../../constants/constants"; +import { AuthContext } from "../../../../contexts/authContext"; +import { resetPassword, updateUser } from "../../../../controllers/API"; +import useAlertStore from "../../../../stores/alertStore"; +import useFlowsManagerStore from "../../../../stores/flowsManagerStore"; +import { + inputHandlerEventType, + patchUserInputStateType, +} from "../../../../types/components"; +import { gradients } from "../../../../utils/styleUtils"; + +export default function GeneralPage() { + const setCurrentFlowId = useFlowsManagerStore( + (state) => state.setCurrentFlowId, + ); + + const [inputState, setInputState] = useState( + CONTROL_PATCH_USER_STATE, + ); + + const { autoLogin } = useContext(AuthContext); + + // set null id + useEffect(() => { + setCurrentFlowId(""); + }, []); + const setSuccessData = useAlertStore((state) => state.setSuccessData); + const setErrorData = useAlertStore((state) => state.setErrorData); + const { userData, setUserData } = useContext(AuthContext); + const { password, cnfPassword, gradient } = inputState; + + async function handlePatchPassword() { + if (password !== cnfPassword) { + setErrorData({ + title: EDIT_PASSWORD_ERROR_ALERT, + list: [EDIT_PASSWORD_ALERT_LIST], + }); + return; + } + try { + if (password !== "") await resetPassword(userData!.id, { password }); + handleInput({ target: { name: "password", value: "" } }); + handleInput({ target: { name: "cnfPassword", value: "" } }); + setSuccessData({ title: SAVE_SUCCESS_ALERT }); + } catch (error) { + setErrorData({ + title: SAVE_ERROR_ALERT, + list: [(error as any).response.data.detail], + }); + } + } + + async function handlePatchGradient() { + try { + if (gradient !== "") + await updateUser(userData!.id, { profile_image: gradient }); + if (gradient !== "") { + let newUserData = cloneDeep(userData); + newUserData!.profile_image = gradient; + + setUserData(newUserData); + } + setSuccessData({ title: SAVE_SUCCESS_ALERT }); + } catch (error) { + setErrorData({ + title: SAVE_ERROR_ALERT, + list: [(error as any).response.data.detail], + }); + } + } + + function handleInput({ + target: { name, value }, + }: inputHandlerEventType): void { + setInputState((prev) => ({ ...prev, [name]: value })); + } + return ( +
+
+
+

+ General + +

+

+ Manage settings related to Langflow and your account. +

+
+
+ +
+ { + handlePatchGradient(); + event.preventDefault(); + }} + > + + + Profile Gradient + + Choose the gradient that appears as your profile picture. + + + +
+ { + handleInput({ target: { name: "gradient", value } }); + }} + /> +
+
+ + + + + +
+
+ {!autoLogin && ( + { + handlePatchPassword(); + event.preventDefault(); + }} + > + + + Password + + Type your new password and confirm it. + + + +
+ + { + handleInput({ target: { name: "password", value } }); + }} + value={password} + isForm + password={true} + placeholder="Password" + className="w-full" + /> + + Please enter your password + + + + { + handleInput({ + target: { name: "cnfPassword", value }, + }); + }} + value={cnfPassword} + isForm + password={true} + placeholder="Confirm Password" + className="w-full" + /> + + + Please confirm your password + + +
+
+ + + + + +
+
+ )} +
+
+ ); +} diff --git a/src/frontend/src/pages/SettingsPage/pages/GlobalVariablesPage/index.tsx b/src/frontend/src/pages/SettingsPage/pages/GlobalVariablesPage/index.tsx new file mode 100644 index 000000000..65f7ecd41 --- /dev/null +++ b/src/frontend/src/pages/SettingsPage/pages/GlobalVariablesPage/index.tsx @@ -0,0 +1,194 @@ +import IconComponent from "../../../../components/genericIconComponent"; +import { Button } from "../../../../components/ui/button"; + +import { ColDef, ColGroupDef, SelectionChangedEvent } from "ag-grid-community"; +import { useEffect, useState } from "react"; +import AddNewVariableButton from "../../../../components/addNewVariableButtonComponent/addNewVariableButton"; +import Dropdown from "../../../../components/dropdownComponent"; +import ForwardedIconComponent from "../../../../components/genericIconComponent"; +import TableComponent from "../../../../components/tableComponent"; +import { Badge } from "../../../../components/ui/badge"; +import { Card, CardContent } from "../../../../components/ui/card"; +import { deleteGlobalVariable } from "../../../../controllers/API"; +import useAlertStore from "../../../../stores/alertStore"; +import { useGlobalVariablesStore } from "../../../../stores/globalVariablesStore/globalVariables"; +import { cn } from "../../../../utils/utils"; + +export default function GlobalVariablesPage() { + const globalVariablesEntries = useGlobalVariablesStore( + (state) => state.globalVariablesEntries, + ); + const removeGlobalVariable = useGlobalVariablesStore( + (state) => state.removeGlobalVariable, + ); + const globalVariables = useGlobalVariablesStore( + (state) => state.globalVariables, + ); + const setErrorData = useAlertStore((state) => state.setErrorData); + const getVariableId = useGlobalVariablesStore((state) => state.getVariableId); + + const BadgeRenderer = (props) => { + return props.value !== "" ? ( +
+ + {props.value} + +
+ ) : ( +
+ ); + }; + + const [rowData, setRowData] = useState< + { + type: string | undefined; + id: string; + name: string; + default_fields: string | undefined; + }[] + >([]); + + useEffect(() => { + const rows: Array<{ + type: string | undefined; + id: string; + name: string; + default_fields: string | undefined; + }> = []; + if (globalVariablesEntries === undefined) return; + globalVariablesEntries.forEach((entrie) => { + const globalVariableObj = globalVariables[entrie]; + rows.push({ + type: globalVariableObj.type, + id: globalVariableObj.id, + default_fields: (globalVariableObj.default_fields ?? []).join(", "), + name: entrie, + }); + }); + setRowData(rows); + }, [globalVariables]); + + const DropdownEditor = ({ options, value, onValueChange }) => { + return ( + +
+
+ ); + }; + // Column Definitions: Defines the columns to be displayed. + const [colDefs, setColDefs] = useState<(ColDef | ColGroupDef)[]>([ + { + headerCheckboxSelection: true, + checkboxSelection: true, + showDisabledCheckboxes: true, + headerName: "Variable Name", + field: "name", + flex: 2, + }, //This column will be twice as wide as the others + { + field: "type", + cellRenderer: BadgeRenderer, + cellEditor: DropdownEditor, + cellEditorParams: { + options: ["Generic", "Credential"], + }, + flex: 1, + editable: false, + }, + // { + // field: "value", + // cellEditor: "agLargeTextCellEditor", + // flex: 2, + // editable: false, + // }, + { + headerName: "Apply To Fields", + field: "default_fields", + flex: 1, + editable: false, + resizable: false, + }, + ]); + + const [selectedRows, setSelectedRows] = useState([]); + + async function removeVariables() { + const deleteGlobalVariablesPromise = selectedRows.map(async (row) => { + const id = getVariableId(row); + const deleteGlobalVariables = deleteGlobalVariable(id!); + await deleteGlobalVariables; + }); + Promise.all(deleteGlobalVariablesPromise) + .then(() => { + selectedRows.forEach((row) => { + removeGlobalVariable(row); + }); + }) + .catch(() => { + setErrorData({ + title: `Error deleting global variables.`, + }); + }); + } + + return ( +
+
+
+

+ Global Variables + +

+

+ Manage global variables and assign them to fields. +

+
+
+ + + + +
+
+ +
+ + + { + setSelectedRows( + event.api.getSelectedRows().map((row) => row.name), + ); + }} + rowSelection="multiple" + suppressRowClickSelection={true} + pagination={true} + columnDefs={colDefs} + rowData={rowData} + /> + + +
+
+ ); +} diff --git a/src/frontend/src/pages/SettingsPage/pages/ShortcutsPage/index.tsx b/src/frontend/src/pages/SettingsPage/pages/ShortcutsPage/index.tsx new file mode 100644 index 000000000..0f4de7363 --- /dev/null +++ b/src/frontend/src/pages/SettingsPage/pages/ShortcutsPage/index.tsx @@ -0,0 +1,131 @@ +import { ColDef, ColGroupDef } from "ag-grid-community"; +import { useState } from "react"; +import ForwardedIconComponent from "../../../../components/genericIconComponent"; +import TableComponent from "../../../../components/tableComponent"; +import { Card, CardContent } from "../../../../components/ui/card"; + +export default function ShortcutsPage() { + const isMac = navigator.userAgent.toUpperCase().includes("MAC"); + const advancedShortcut = `${isMac ? "Cmd" : "Ctrl"} + Shift + A`; + const minizmizeShortcut = `${isMac ? "Cmd" : "Ctrl"} + Shift + Q`; + const codeShortcut = `${isMac ? "Cmd" : "Ctrl"} + Shift + C`; + const copyShortcut = `${isMac ? "Cmd" : "Ctrl"} + C`; + const duplicateShortcut = `${isMac ? "Cmd" : "Ctrl"} + D`; + const shareShortcut = `${isMac ? "Cmd" : "Ctrl"} + Shift + S`; + const docsShortcut = `${isMac ? "Cmd" : "Ctrl"} + Shift + D`; + const saveShortcut = `${isMac ? "Cmd" : "Ctrl"} + S`; + const deleteShortcut = `Backspace`; + const interactionShortcut = `${isMac ? "Cmd" : "Ctrl"} + K`; + const undoShortcut = `${isMac ? "Cmd" : "Ctrl"} + Z`; + const redoShortcut = `${isMac ? "Cmd" : "Ctrl"} + Y`; + + // Column Definitions: Defines the columns to be displayed. + const [colDefs, setColDefs] = useState<(ColDef | ColGroupDef)[]>([ + { + headerName: "Functionality", + field: "name", + flex: 1, + editable: false, + }, //This column will be twice as wide as the others + { + field: "shortcut", + flex: 2, + editable: false, + resizable: false, + }, + ]); + + const [nodesRowData, setNodesRowData] = useState([ + { + name: "Advanced Settings Component", + shortcut: advancedShortcut, + resizable: false, + }, + { + name: "Minimize Component", + shortcut: minizmizeShortcut, + resizable: false, + }, + { + name: "Code Component", + shortcut: codeShortcut, + resizable: false, + }, + { + name: "Copy Component", + shortcut: copyShortcut, + resizable: false, + }, + { + name: "Duplicate Component", + shortcut: duplicateShortcut, + resizable: false, + }, + { + name: "Share Component", + shortcut: shareShortcut, + resizable: false, + }, + { + name: "Docs Component", + shortcut: docsShortcut, + resizable: false, + }, + { + name: "Save Component", + shortcut: saveShortcut, + resizable: false, + }, + { + name: "Delete Component", + shortcut: deleteShortcut, + resizable: false, + }, + { + name: "Open Playground", + shortcut: interactionShortcut, + resizable: false, + }, + { + name: "Undo", + shortcut: undoShortcut, + resizable: false, + }, + { + name: "Redo", + shortcut: redoShortcut, + resizable: false, + }, + ]); + + return ( +
+
+
+

+ Shortcuts + +

+

+ Manage Shortcuts for quick access to frequently used actions. +

+
+
+
+ + + + + +
+
+ ); +} diff --git a/src/frontend/src/pages/signUpPage/index.tsx b/src/frontend/src/pages/SignUpPage/index.tsx similarity index 100% rename from src/frontend/src/pages/signUpPage/index.tsx rename to src/frontend/src/pages/SignUpPage/index.tsx diff --git a/src/frontend/src/pages/StorePage/index.tsx b/src/frontend/src/pages/StorePage/index.tsx index 64df241fb..3b4612281 100644 --- a/src/frontend/src/pages/StorePage/index.tsx +++ b/src/frontend/src/pages/StorePage/index.tsx @@ -1,15 +1,15 @@ import { uniqueId } from "lodash"; import { useContext, useEffect, useState } from "react"; -import PaginatorComponent from "../../components/PaginatorComponent"; -import ShadTooltip from "../../components/ShadTooltipComponent"; import CollectionCardComponent from "../../components/cardComponent"; import IconComponent from "../../components/genericIconComponent"; import PageLayout from "../../components/pageLayout"; +import ShadTooltip from "../../components/shadTooltipComponent"; import { SkeletonCardComponent } from "../../components/skeletonCardComponent"; import { Button } from "../../components/ui/button"; import { Input } from "../../components/ui/input"; -import { Link, useParams } from "react-router-dom"; +import { Link, useNavigate, useParams } from "react-router-dom"; +import PaginatorComponent from "../../components/paginatorComponent"; import { TagsSelector } from "../../components/tagsSelectorComponent"; import { Badge } from "../../components/ui/badge"; import { @@ -29,12 +29,13 @@ import { import { STORE_DESC, STORE_TITLE } from "../../constants/constants"; import { AuthContext } from "../../contexts/authContext"; import { getStoreComponents, getStoreTags } from "../../controllers/API"; -import StoreApiKeyModal from "../../modals/StoreApiKeyModal"; +import StoreApiKeyModal from "../../modals/storeApiKeyModal"; import useAlertStore from "../../stores/alertStore"; import useFlowsManagerStore from "../../stores/flowsManagerStore"; import { useStoreStore } from "../../stores/storeStore"; import { storeComponent } from "../../types/store"; import { cn } from "../../utils/utils"; +import InputSearchComponent from "../MainPage/components/myCollectionComponent/components/inputSearchComponent"; export default function StorePage(): JSX.Element { const hasApiKey = useStoreStore((state) => state.hasApiKey); @@ -47,7 +48,7 @@ export default function StorePage(): JSX.Element { const setErrorData = useAlertStore((state) => state.setErrorData); const setCurrentFlowId = useFlowsManagerStore( - (state) => state.setCurrentFlowId + (state) => state.setCurrentFlowId, ); const currentFlowId = useFlowsManagerStore((state) => state.currentFlowId); const [loading, setLoading] = useState(true); @@ -65,6 +66,8 @@ export default function StorePage(): JSX.Element { const [searchNow, setSearchNow] = useState(""); const [selectFilter, setSelectFilter] = useState("all"); + const navigate = useNavigate(); + useEffect(() => { if (!loadingApiKey) { if (!hasApiKey) { @@ -142,7 +145,7 @@ export default function StorePage(): JSX.Element { setTotalRowsCount( filteredCategories?.length === 0 ? Number(res?.count ?? 0) - : res?.results?.length ?? 0 + : res?.results?.length ?? 0, ); } }) @@ -185,7 +188,7 @@ export default function StorePage(): JSX.Element { disabled={loading} className={cn( `${!validApiKey ? "animate-pulse border-error" : ""}`, - loading ? "cursor-not-allowed" : "" + loading ? "cursor-not-allowed" : "", )} variant="primary" > @@ -200,36 +203,20 @@ export default function StorePage(): JSX.Element {
-
- { - setInputText(e.target.value); - }} - onKeyDown={(e) => { - if (e.key === "Enter") { - setSearchNow(uniqueId()); - } - }} - value={inputText} - /> - -
+ } + }} + onClick={() => { + setSearchNow(uniqueId()); + }} + />