diff --git a/Makefile b/Makefile index 9412752d4..96e70a50c 100644 --- a/Makefile +++ b/Makefile @@ -6,6 +6,7 @@ host ?= 0.0.0.0 port ?= 7860 env ?= .env open_browser ?= true +path = src/backend/base/langflow/frontend setup_poetry: pipx install poetry @@ -99,11 +100,11 @@ endif start: @echo 'Running the CLI' - @make install_backend + ifeq ($(open_browser),false) - poetry run langflow run --path src/frontend/build --log-level $(log_level) --host $(host) --port $(port) --env-file $(env) --no-open-browser + @make install_backend && poetry run langflow run --path $(path) --log-level $(log_level) --host $(host) --port $(port) --env-file $(env) --no-open-browser else - poetry run langflow run --path src/frontend/build --log-level $(log_level) --host $(host) --port $(port) --env-file $(env) + @make install_backend && poetry run langflow run --path $(path) --log-level $(log_level) --host $(host) --port $(port) --env-file $(env) endif diff --git a/README.md b/README.md index 77824df44..5a42ecaa2 100644 --- a/README.md +++ b/README.md @@ -53,7 +53,7 @@ You can still use models from projects like LocalAI, Ollama, LM Studio, Jan and Next, run: ```shell -python -m langflow +python -m langflow run ``` or diff --git a/docs/docs/components/data.mdx b/docs/docs/components/data.mdx deleted file mode 100644 index e69de29bb..000000000 diff --git a/docs/docs/getting-started/installation.md b/docs/docs/getting-started/installation.md deleted file mode 100644 index c3ad54239..000000000 --- a/docs/docs/getting-started/installation.md +++ /dev/null @@ -1,15 +0,0 @@ -# 📦 How to install? - -## Installation - -You can install Langflow from pip: - -```bash -pip install langflow -``` - -Next, run: - -```bash -langflow -``` \ No newline at end of file diff --git a/docs/docs/getting-started/installation.mdx b/docs/docs/getting-started/installation.mdx new file mode 100644 index 000000000..1ad62abf6 --- /dev/null +++ b/docs/docs/getting-started/installation.mdx @@ -0,0 +1,17 @@ +# 📦 How to install? + +## Installation + +Make sure you have **Python 3.10** installed on your system. + +You can install **Langflow** using pip: + +```bash +pip install langflow -U +``` + +Or you can install a pre-release version using: + +```bash +pip install langflow --pre -U +``` \ No newline at end of file diff --git a/docs/docs/getting-started/usage.mdx b/docs/docs/getting-started/usage.mdx new file mode 100644 index 000000000..a61e5cf04 --- /dev/null +++ b/docs/docs/getting-started/usage.mdx @@ -0,0 +1,61 @@ +# ⛓️ 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 + +```bash +langflow run # or langflow --help +``` + + +### 🤗 HuggingFace Spaces + +Check out our [guide](./hugging-face-spaces) on how to get your Langflow instance running on HuggingFace Spaces. + + +# 🖥️ 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] +``` + +Each option is detailed below: + +- `--help`: Displays all available options. +- `--host`: Defines the host to bind the server to. Can be set using the `LANGFLOW_HOST` environment variable. The default is `127.0.0.1`. +- `--workers`: Sets the number of worker processes. Can be set using the `LANGFLOW_WORKERS` environment variable. The default is `1`. +- `--timeout`: Sets the worker timeout in seconds. The default is `60`. +- `--port`: Sets the port to listen on. Can be set using the `LANGFLOW_PORT` environment variable. The default is `7860`. +- `--config`: Defines the path to the configuration file. The default is `config.yaml`. +- `--env-file`: Specifies the path to the .env file containing environment variables. The default is `.env`. +- `--log-level`: Defines the logging level. Can be set using the `LANGFLOW_LOG_LEVEL` environment variable. The default is `critical`. +- `--components-path`: Specifies the path to the directory containing custom components. Can be set using the `LANGFLOW_COMPONENTS_PATH` environment variable. The default is `langflow/components`. +- `--log-file`: Specifies the path to the log file. Can be set using the `LANGFLOW_LOG_FILE` environment variable. The default is `logs/langflow.log`. +- `--cache`: Select the type of cache to use. Options are `InMemoryCache` and `SQLiteCache`. Can be set using the `LANGFLOW_LANGCHAIN_CACHE` environment variable. The default is `SQLiteCache`. +- `--dev/--no-dev`: Toggles the development mode. The default is `no-dev`. +- `--path`: Specifies the path to the frontend directory containing build files. This option is for development purposes only. Can be set using the `LANGFLOW_FRONTEND_PATH` environment variable. +- `--open-browser/--no-open-browser`: Toggles the option to open the browser after starting the server. Can be set using the `LANGFLOW_OPEN_BROWSER` environment variable. The default is `open-browser`. +- `--remove-api-keys/--no-remove-api-keys`: Toggles the option to remove API keys from the projects saved in the database. Can be set using the `LANGFLOW_REMOVE_API_KEYS` environment variable. The default is `no-remove-api-keys`. +- `--install-completion [bash|zsh|fish|powershell|pwsh]`: Installs completion for the specified shell. +- `--show-completion [bash|zsh|fish|powershell|pwsh]`: Shows completion for the specified shell, allowing you to copy it or customize the installation. +- `--backend-only`: This parameter, with a default value of `False`, allows running only the backend server without the frontend. It can also be set using the `LANGFLOW_BACKEND_ONLY` environment variable. +- `--store`: This parameter, with a default value of `True`, enables the store features, use `--no-store` to deactivate it. It can be configured using the `LANGFLOW_STORE` environment variable. + +These parameters are important for users who need to customize the behavior of Langflow, especially in development or specialized deployment scenarios. + +### Environment Variables + +You can configure many of the CLI options using environment variables. These can be exported in your operating system or added to a `.env` file and loaded using the `--env-file` option. + +A sample `.env` file named `.env.example` is included with the project. Copy this file to a new file named `.env` and replace the example values with your actual settings. If you're setting values in both your OS and the `.env` file, the `.env` settings will take precedence. \ No newline at end of file diff --git a/docs/sidebars.js b/docs/sidebars.js index 078d27f72..fc6a1522b 100644 --- a/docs/sidebars.js +++ b/docs/sidebars.js @@ -7,6 +7,7 @@ module.exports = { items: [ "index", "getting-started/installation", + "getting-started/usage", "getting-started/hugging-face-spaces", "getting-started/creating-flows", ], diff --git a/poetry.lock b/poetry.lock index 11cf5f9fe..d78d4776c 100644 --- a/poetry.lock +++ b/poetry.lock @@ -455,17 +455,17 @@ files = [ [[package]] name = "boto3" -version = "1.34.74" +version = "1.34.75" description = "The AWS SDK for Python" optional = false python-versions = ">=3.8" files = [ - {file = "boto3-1.34.74-py3-none-any.whl", hash = "sha256:71f551491fb12fe07727d371d5561c5919fdf33dbc1d4251c57940d267a53a9e"}, - {file = "boto3-1.34.74.tar.gz", hash = "sha256:b703e22775561a748adc4576c30424b81abd2a00d3c6fb28eec2e5cde92c1eed"}, + {file = "boto3-1.34.75-py3-none-any.whl", hash = "sha256:ba5d2104bba4370766036d64ad9021eb6289d154265852a2a821ec6a5e816faa"}, + {file = "boto3-1.34.75.tar.gz", hash = "sha256:eaec72fda124084105a31bcd67eafa1355b34df6da70cadae0c0f262d8a4294f"}, ] [package.dependencies] -botocore = ">=1.34.74,<1.35.0" +botocore = ">=1.34.75,<1.35.0" jmespath = ">=0.7.1,<2.0.0" s3transfer = ">=0.10.0,<0.11.0" @@ -474,13 +474,13 @@ crt = ["botocore[crt] (>=1.21.0,<2.0a0)"] [[package]] name = "botocore" -version = "1.34.74" +version = "1.34.75" description = "Low-level, data-driven core of boto 3." optional = false python-versions = ">=3.8" files = [ - {file = "botocore-1.34.74-py3-none-any.whl", hash = "sha256:5d2015b5d91d6c402c122783729ce995ed7283a746b0380957026dc2b3b75969"}, - {file = "botocore-1.34.74.tar.gz", hash = "sha256:32bb519bae62483893330c18a0ea4fd09d1ffa32bc573cd8559c2d9a08fb8c5c"}, + {file = "botocore-1.34.75-py3-none-any.whl", hash = "sha256:1d7f683d99eba65076dfb9af3b42fa967c64f11111d9699b65757420902aa002"}, + {file = "botocore-1.34.75.tar.gz", hash = "sha256:06113ee2587e6160211a6bd797e135efa6aa21b5bde97bf455c02f7dff40203c"}, ] [package.dependencies] @@ -3359,13 +3359,13 @@ test = ["flaky", "ipyparallel", "pre-commit", "pytest (>=7.0)", "pytest-asyncio [[package]] name = "ipython" -version = "8.22.2" +version = "8.23.0" description = "IPython: Productive Interactive Computing" optional = false python-versions = ">=3.10" files = [ - {file = "ipython-8.22.2-py3-none-any.whl", hash = "sha256:3c86f284c8f3d8f2b6c662f885c4889a91df7cd52056fd02b7d8d6195d7f56e9"}, - {file = "ipython-8.22.2.tar.gz", hash = "sha256:2dcaad9049f9056f1fef63514f176c7d41f930daa78d05b82a176202818f2c14"}, + {file = "ipython-8.23.0-py3-none-any.whl", hash = "sha256:07232af52a5ba146dc3372c7bf52a0f890a23edf38d77caef8d53f9cdc2584c1"}, + {file = "ipython-8.23.0.tar.gz", hash = "sha256:7468edaf4f6de3e1b912e57f66c241e6fd3c7099f2ec2136e239e142e800274d"}, ] [package.dependencies] @@ -3379,12 +3379,14 @@ 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\""} [package.extras] -all = ["ipython[black,doc,kernel,nbconvert,nbformat,notebook,parallel,qtconsole,terminal]", "ipython[test,test-extra]"] +all = ["ipython[black,doc,kernel,matplotlib,nbconvert,nbformat,notebook,parallel,qtconsole]", "ipython[test,test-extra]"] black = ["black"] doc = ["docrepr", "exceptiongroup", "ipykernel", "ipython[test]", "matplotlib", "setuptools (>=18.5)", "sphinx (>=1.3)", "sphinx-rtd-theme", "sphinxcontrib-jquery", "stack-data", "typing-extensions"] kernel = ["ipykernel"] +matplotlib = ["matplotlib"] nbconvert = ["nbconvert"] nbformat = ["nbformat"] notebook = ["ipywidgets", "notebook"] @@ -3682,13 +3684,13 @@ adal = ["adal (>=1.0.2)"] [[package]] name = "langchain" -version = "0.1.13" +version = "0.1.14" description = "Building applications with LLMs through composability" optional = false python-versions = "<4.0,>=3.8.1" files = [ - {file = "langchain-0.1.13-py3-none-any.whl", hash = "sha256:c87657021b777d6b07e55be379a28660a1cd148c31593569869dd6b0b4cab945"}, - {file = "langchain-0.1.13.tar.gz", hash = "sha256:db330aa79c33501cb1ed97ff465f7645813eaa6cfd742c61e19c2d48e4aaba18"}, + {file = "langchain-0.1.14-py3-none-any.whl", hash = "sha256:94f9b5df2421faaf762d4f43b9d65c270c2f701934580d281e4c6226deef7234"}, + {file = "langchain-0.1.14.tar.gz", hash = "sha256:124c6244cf3957616b98f2df07dc2992fc40dff6ed1a62d8ee8a40f1e0260a40"}, ] [package.dependencies] @@ -3696,8 +3698,8 @@ 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 = ">=0.0.29,<0.1" -langchain-core = ">=0.1.33,<0.2.0" +langchain-community = ">=0.0.30,<0.1" +langchain-core = ">=0.1.37,<0.2.0" langchain-text-splitters = ">=0.0.1,<0.1" langsmith = ">=0.1.17,<0.2.0" numpy = ">=1,<2" @@ -3711,12 +3713,12 @@ tenacity = ">=8.1.0,<9.0.0" azure = ["azure-ai-formrecognizer (>=3.2.1,<4.0.0)", "azure-ai-textanalytics (>=5.3.0,<6.0.0)", "azure-cognitiveservices-speech (>=1.28.0,<2.0.0)", "azure-core (>=1.26.4,<2.0.0)", "azure-cosmos (>=4.4.0b1,<5.0.0)", "azure-identity (>=1.12.0,<2.0.0)", "azure-search-documents (==11.4.0b8)", "openai (<2)"] clarifai = ["clarifai (>=9.1.0)"] cli = ["typer (>=0.9.0,<0.10.0)"] -cohere = ["cohere (>=4,<5)"] +cohere = ["cohere (>=4,<6)"] docarray = ["docarray[hnswlib] (>=0.32.0,<0.33.0)"] embeddings = ["sentence-transformers (>=2,<3)"] -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)", "beautifulsoup4 (>=4,<5)", "bibtexparser (>=1.4.0,<2.0.0)", "cassio (>=0.1.0,<0.2.0)", "chardet (>=5.1.0,<6.0.0)", "cohere (>=4,<5)", "couchbase 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description = "Typing stubs for pywin32" optional = false python-versions = ">=3.8" files = [ - {file = "types-pywin32-306.0.0.20240319.tar.gz", hash = "sha256:a578ba15167a7a3a2bca0b307a401650d2f6b7bb58b2215d3ad9a6584b7baea5"}, - {file = "types_pywin32-306.0.0.20240319-py3-none-any.whl", hash = "sha256:acaa5da80f1b875115da8af2836c75c3cee4b45a2dd19e0fcac23dd011e2387b"}, + {file = "types-pywin32-306.0.0.20240331.tar.gz", hash = "sha256:3427e60ffbbc47b31e6bc416c3e4c37d579e6774e5152dab953589c9b64c4d58"}, + {file = "types_pywin32-306.0.0.20240331-py3-none-any.whl", hash = "sha256:844b90253f3da38e254c9ce199ba41f63da52c511003daedcda414e88f1cf319"}, ] [[package]] @@ -9765,13 +9808,13 @@ files = [ [[package]] name = "werkzeug" -version = "3.0.1" +version = "3.0.2" description = "The comprehensive WSGI web application library." optional = false python-versions = ">=3.8" files = [ - {file = "werkzeug-3.0.1-py3-none-any.whl", hash = "sha256:90a285dc0e42ad56b34e696398b8122ee4c681833fb35b8334a095d82c56da10"}, - {file = "werkzeug-3.0.1.tar.gz", hash = "sha256:507e811ecea72b18a404947aded4b3390e1db8f826b494d76550ef45bb3b1dcc"}, + {file = "werkzeug-3.0.2-py3-none-any.whl", hash = "sha256:3aac3f5da756f93030740bc235d3e09449efcf65f2f55e3602e1d851b8f48795"}, + {file = "werkzeug-3.0.2.tar.gz", hash = "sha256:e39b645a6ac92822588e7b39a692e7828724ceae0b0d702ef96701f90e70128d"}, ] [package.dependencies] @@ -10240,4 +10283,4 @@ local = ["ctransformers", "llama-cpp-python", "sentence-transformers"] [metadata] lock-version = "2.0" python-versions = ">=3.10,<3.12" -content-hash = "014454e08274cc189a4b8b74c6577a8731bb0d9693f40f6f98b4c20bdf70b58d" +content-hash = "b66acb0ed04e62c9f311828307ac1503bc7a19912753c217d4ea6237f474543a" diff --git a/pyproject.toml b/pyproject.toml index 49188eacd..14f14286b 100644 --- a/pyproject.toml +++ b/pyproject.toml @@ -78,12 +78,6 @@ pytube = "^15.0.0" llama-index = "^0.10.13" langchain-openai = "^0.0.5" unstructured = { extras = ["md"], version = "^0.12.4" } -opentelemetry-api = "^1.23.0" -opentelemetry-sdk = "^1.23.0" -opentelemetry-exporter-otlp = "^1.23.0" -opentelemetry-instrumentation-fastapi = "^0.44b0" -opentelemetry-instrumentation-httpx = "^0.44b0" -opentelemetry-instrumentation-asgi = "^0.44b0" dspy-ai = "^2.4.0" crewai = "^0.22.5" html2text = "^2024.2.26" diff --git a/src/backend/base/langflow/components/embeddings/OpenAIEmbeddings.py b/src/backend/base/langflow/components/embeddings/OpenAIEmbeddings.py index 538b8473b..cdeeac0e1 100644 --- a/src/backend/base/langflow/components/embeddings/OpenAIEmbeddings.py +++ b/src/backend/base/langflow/components/embeddings/OpenAIEmbeddings.py @@ -1,8 +1,8 @@ -from typing import Any, Callable, Dict, List, Optional, Union +from typing import Any, Dict, List, Optional from langchain_openai.embeddings.base import OpenAIEmbeddings -from langflow.field_typing import NestedDict +from langflow.field_typing import Embeddings, NestedDict from langflow.interface.custom.custom_component import CustomComponent @@ -109,7 +109,7 @@ class OpenAIEmbeddingsComponent(CustomComponent): skip_empty: bool = False, tiktoken_enable: bool = True, tiktoken_model_name: Optional[str] = None, - ) -> Union[OpenAIEmbeddings, Callable]: + ) -> Embeddings: # This is to avoid errors with Vector Stores (e.g Chroma) if disallowed_special == ["all"]: disallowed_special = "all" # type: ignore diff --git a/src/backend/base/langflow/components/helpers/MemoryComponent.py b/src/backend/base/langflow/components/helpers/MemoryComponent.py index a659da4b2..670954b25 100644 --- a/src/backend/base/langflow/components/helpers/MemoryComponent.py +++ b/src/backend/base/langflow/components/helpers/MemoryComponent.py @@ -22,7 +22,6 @@ class MemoryComponent(CustomComponent): "n_messages": { "display_name": "Number of Messages", "info": "Number of messages to retrieve.", - "advanced": True, }, "session_id": { "display_name": "Session ID", diff --git a/src/backend/base/langflow/initial_setup/starter_projects/Langflow Basic Prompting.json b/src/backend/base/langflow/initial_setup/starter_projects/Langflow Basic Prompting.json index 7ec99d0da..9903a3ea0 100644 --- a/src/backend/base/langflow/initial_setup/starter_projects/Langflow Basic Prompting.json +++ b/src/backend/base/langflow/initial_setup/starter_projects/Langflow Basic Prompting.json @@ -5,182 +5,11 @@ "data": { "nodes": [ { - "id": "ChatInput-HTY3h", + "id": "Prompt-nzvwK", "type": "genericNode", "position": { - "x": 86.66131544226482, - "y": 69.51987428063671 - }, - "data": { - "type": "ChatInput", - "node": { - "template": { - "code": { - "type": "code", - "required": true, - "placeholder": "", - "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", - "fileTypes": [], - "file_path": "", - "password": false, - "name": "code", - "advanced": true, - "dynamic": true, - "info": "", - "load_from_db": false, - "title_case": false - }, - "input_value": { - "type": "str", - "required": false, - "placeholder": "", - "list": false, - "show": true, - "multiline": true, - "fileTypes": [], - "file_path": "", - "password": false, - "name": "input_value", - "display_name": "Message", - "advanced": false, - "input_types": [], - "dynamic": false, - "info": "", - "title_case": false, - "value": "Write a press release " - }, - "return_record": { - "type": "bool", - "required": false, - "placeholder": "", - "list": false, - "show": true, - "multiline": false, - "value": false, - "fileTypes": [], - "file_path": "", - "password": false, - "name": "return_record", - "display_name": "Return Record", - "advanced": false, - "dynamic": false, - "info": "Return the message as a record containing the sender, sender_name, and session_id.", - "title_case": false - }, - "sender": { - "type": "str", - "required": false, - "placeholder": "", - "list": true, - "show": true, - "multiline": false, - "value": "User", - "fileTypes": [], - "file_path": "", - "password": false, - "options": [ - "Machine", - "User" - ], - "name": "sender", - "display_name": "Sender Type", - "advanced": false, - "dynamic": false, - "info": "", - "title_case": false, - "input_types": [ - "Text" - ] - }, - "sender_name": { - "type": "str", - "required": false, - "placeholder": "", - "list": false, - "show": true, - "multiline": false, - "value": "User", - "fileTypes": [], - "file_path": "", - "password": false, - "name": "sender_name", - "display_name": "Sender Name", - "advanced": false, - "dynamic": false, - "info": "", - "title_case": false, - "input_types": [ - "Text" - ] - }, - "session_id": { - "type": "str", - "required": false, - "placeholder": "", - "list": false, - "show": true, - "multiline": false, - "fileTypes": [], - "file_path": "", - "password": false, - "name": "session_id", - "display_name": "Session ID", - "advanced": false, - "dynamic": false, - "info": "If provided, the message will be stored in the memory.", - "title_case": false, - "input_types": [ - "Text" - ] - }, - "_type": "CustomComponent" - }, - "description": "Get chat inputs from the Interaction Panel.", - "base_classes": [ - "object", - "Text", - "Record", - "str" - ], - "display_name": "Chat Input", - "documentation": "", - "custom_fields": { - "sender": null, - "sender_name": null, - "input_value": null, - "session_id": null, - "return_record": null - }, - "output_types": [ - "Text", - "Record" - ], - "field_formatters": {}, - "frozen": false, - "field_order": [], - "beta": false, - "icon": "ChatInput" - }, - "id": "ChatInput-HTY3h" - }, - "selected": false, - "width": 384, - "height": 675, - "positionAbsolute": { - "x": 86.66131544226482, - "y": 69.51987428063671 - }, - "dragging": false - }, - { - "id": "Prompt-BbuIE", - "type": "genericNode", - "position": { - "x": 731.5380376186406, - "y": 273.5294585628963 + "x": 53.588791333410654, + "y": -105.1077989256227 }, "data": { "type": "Prompt", @@ -211,7 +40,7 @@ "list": false, "show": true, "multiline": false, - "value": "{request}\n\n- {topic_1}\n- {topic_2}\n\n\nAnswer:\n\n", + "value": "Extract key phrases from the customer reviews provided below. Focus on {sentiment} phrases that seem to capture the essence of the customers' opinions about their experience. Output these phrases in a list format.\n\nCustomer Reviews:\n{reviews}\n\nKey Phrases:\n", "fileTypes": [], "file_path": "", "password": false, @@ -223,10 +52,11 @@ ], "dynamic": false, "info": "", + "load_from_db": false, "title_case": false }, "_type": "CustomComponent", - "request": { + "reviews": { "field_type": "str", "required": false, "placeholder": "", @@ -237,21 +67,22 @@ "fileTypes": [], "file_path": "", "password": false, - "name": "request", - "display_name": "request", + "name": "reviews", + "display_name": "reviews", "advanced": false, "input_types": [ "Document", "BaseOutputParser", - "Text", - "Record" + "Record", + "Text" ], "dynamic": false, "info": "", + "load_from_db": false, "title_case": false, "type": "str" }, - "topic_1": { + "sentiment": { "field_type": "str", "required": false, "placeholder": "", @@ -262,42 +93,18 @@ "fileTypes": [], "file_path": "", "password": false, - "name": "topic_1", - "display_name": "topic_1", + "name": "sentiment", + "display_name": "sentiment", "advanced": false, "input_types": [ "Document", "BaseOutputParser", - "Text", - "Record" - ], - "dynamic": false, - "info": "", - "title_case": false, - "type": "str" - }, - "topic_2": { - "field_type": "str", - "required": false, - "placeholder": "", - "list": false, - "show": true, - "multiline": true, - "value": "", - "fileTypes": [], - "file_path": "", - "password": false, - "name": "topic_2", - "display_name": "topic_2", - "advanced": false, - "input_types": [ - "Document", - "BaseOutputParser", - "Text", - "Record" + "Record", + "Text" ], "dynamic": false, "info": "", + "load_from_db": false, "title_case": false, "type": "str" } @@ -308,18 +115,17 @@ "is_output": null, "is_composition": null, "base_classes": [ - "object", + "str", "Text", - "str" + "object" ], "name": "", "display_name": "Prompt", "documentation": "", "custom_fields": { "template": [ - "request", - "topic_1", - "topic_2" + "sentiment", + "reviews" ] }, "output_types": [ @@ -332,442 +138,25 @@ "beta": false, "error": null }, - "id": "Prompt-BbuIE", - "description": "A component for creating prompts using templates", + "id": "Prompt-nzvwK", + "description": "Create a prompt template with dynamic variables.", "display_name": "Prompt" }, "selected": false, "width": 384, - "height": 595, - "dragging": false - }, - { - "id": "TextInput-DMvJK", - "type": "genericNode", - "position": { - "x": 72.39693609771552, - "y": 782.101290521749 - }, - "data": { - "type": "TextInput", - "node": { - "template": { - "code": { - "type": "code", - "required": true, - "placeholder": "", - "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 = \"Used to pass text input to the next component.\"\n\n def build(self, input_value: Optional[str] = \"\") -> Text:\n return super().build(input_value=input_value)\n", - "fileTypes": [], - "file_path": "", - "password": false, - "name": "code", - "advanced": false, - "dynamic": true, - "info": "", - "title_case": false - }, - "input_value": { - "type": "str", - "required": false, - "placeholder": "", - "list": false, - "show": true, - "multiline": true, - "value": "Inputs and Outputs definition in Langflow's latest major release", - "fileTypes": [], - "file_path": "", - "password": false, - "name": "input_value", - "display_name": "Value", - "advanced": false, - "dynamic": false, - "info": "", - "title_case": false, - "input_types": [ - "Text" - ] - }, - "_type": "CustomComponent" - }, - "description": "Used to pass text input to the next component.", - "base_classes": [ - "object", - "Text", - "str" - ], - "display_name": "Topic 1", - "documentation": "", - "custom_fields": { - "input_value": null - }, - "output_types": [ - "Text" - ], - "field_formatters": {}, - "frozen": false, - "field_order": [ - "input_value" - ], - "beta": true - }, - "id": "TextInput-DMvJK" - }, - "selected": false, - "width": 384, - "height": 297, + "height": 477, + "dragging": false, "positionAbsolute": { - "x": 72.39693609771552, - "y": 782.101290521749 - }, - "dragging": false + "x": 53.588791333410654, + "y": -105.1077989256227 + } }, { - "id": "TextInput-qQVvJ", + "id": "OpenAIModel-u4NL8", "type": "genericNode", "position": { - "x": 61.631382957038454, - "y": 1128.0611718003504 - }, - "data": { - "type": "TextInput", - "node": { - "template": { - "code": { - "type": "code", - "required": true, - "placeholder": "", - "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 = \"Used to pass text input to the next component.\"\n\n def build(self, input_value: Optional[str] = \"\") -> Text:\n return super().build(input_value=input_value)\n", - "fileTypes": [], - "file_path": "", - "password": false, - "name": "code", - "advanced": false, - "dynamic": true, - "info": "", - "title_case": false - }, - "input_value": { - "type": "str", - "required": false, - "placeholder": "", - "list": false, - "show": true, - "multiline": true, - "value": "Renaming Langflow Components to make it easier to identify them in the Interaction Panel", - "fileTypes": [], - "file_path": "", - "password": false, - "name": "input_value", - "display_name": "Value", - "advanced": false, - "dynamic": false, - "info": "", - "title_case": false, - "input_types": [ - "Text" - ] - }, - "_type": "CustomComponent" - }, - "description": "Used to pass text input to the next component.", - "base_classes": [ - "object", - "Text", - "str" - ], - "display_name": "Topic 2", - "documentation": "", - "custom_fields": { - "input_value": null - }, - "output_types": [ - "Text" - ], - "field_formatters": {}, - "frozen": false, - "field_order": [ - "input_value" - ], - "beta": true - }, - "id": "TextInput-qQVvJ" - }, - "selected": true, - "width": 384, - "height": 297, - "positionAbsolute": { - "x": 61.631382957038454, - "y": 1128.0611718003504 - }, - "dragging": true - }, - { - "id": "TextOutput-MtLP2", - "type": "genericNode", - "position": { - "x": 1212.7643867035406, - "y": 503.75128898079595 - }, - "data": { - "type": "TextOutput", - "node": { - "template": { - "input_value": { - "type": "str", - "required": false, - "placeholder": "", - "list": false, - "show": true, - "multiline": false, - "value": "", - "fileTypes": [], - "file_path": "", - "password": false, - "name": "input_value", - "display_name": "Value", - "advanced": false, - "dynamic": false, - "info": "", - "title_case": false, - "input_types": [ - "Text" - ] - }, - "code": { - "type": "code", - "required": true, - "placeholder": "", - "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 = \"Used to pass text output to the next component.\"\n\n field_config = {\n \"input_value\": {\"display_name\": \"Value\"},\n }\n\n def build(self, input_value: Optional[Text] = \"\") -> Text:\n return super().build(input_value=input_value)\n", - "fileTypes": [], - "file_path": "", - "password": false, - "name": "code", - "advanced": false, - "dynamic": true, - "info": "", - "title_case": false - }, - "_type": "CustomComponent" - }, - "description": "Used to pass text output to the next component.", - "base_classes": [ - "object", - "Text", - "str" - ], - "display_name": "Prompt Output", - "documentation": "", - "custom_fields": { - "input_value": null - }, - "output_types": [ - "Text" - ], - "field_formatters": {}, - "frozen": false, - "field_order": [ - "input_value" - ], - "beta": true - }, - "id": "TextOutput-MtLP2" - }, - "selected": false, - "width": 384, - "height": 297, - "positionAbsolute": { - "x": 1212.7643867035406, - "y": 503.75128898079595 - }, - "dragging": false - }, - { - "id": "ChatOutput-zRrJz", - "type": "genericNode", - "position": { - "x": 2299.2806014585203, - "y": 449.2461295937437 - }, - "data": { - "type": "ChatOutput", - "node": { - "template": { - "code": { - "type": "code", - "required": true, - "placeholder": "", - "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", - "fileTypes": [], - "file_path": "", - "password": false, - "name": "code", - "advanced": true, - "dynamic": true, - "info": "", - "load_from_db": false, - "title_case": false - }, - "input_value": { - "type": "str", - "required": false, - "placeholder": "", - "list": false, - "show": true, - "multiline": true, - "fileTypes": [], - "file_path": "", - "password": false, - "name": "input_value", - "display_name": "Message", - "advanced": false, - "input_types": [ - "Text" - ], - "dynamic": false, - "info": "", - "title_case": false - }, - "return_record": { - "type": "bool", - "required": false, - "placeholder": "", - "list": false, - "show": true, - "multiline": false, - "value": false, - "fileTypes": [], - "file_path": "", - "password": false, - "name": "return_record", - "display_name": "Return Record", - "advanced": false, - "dynamic": false, - "info": "Return the message as a record containing the sender, sender_name, and session_id.", - "title_case": false - }, - "sender": { - "type": "str", - "required": false, - "placeholder": "", - "list": true, - "show": true, - "multiline": false, - "value": "Machine", - "fileTypes": [], - "file_path": "", - "password": false, - "options": [ - "Machine", - "User" - ], - "name": "sender", - "display_name": "Sender Type", - "advanced": false, - "dynamic": false, - "info": "", - "title_case": false, - "input_types": [ - "Text" - ] - }, - "sender_name": { - "type": "str", - "required": false, - "placeholder": "", - "list": false, - "show": true, - "multiline": false, - "value": "AI", - "fileTypes": [], - "file_path": "", - "password": false, - "name": "sender_name", - "display_name": "Sender Name", - "advanced": false, - "dynamic": false, - "info": "", - "title_case": false, - "input_types": [ - "Text" - ] - }, - "session_id": { - "type": "str", - "required": false, - "placeholder": "", - "list": false, - "show": true, - "multiline": false, - "fileTypes": [], - "file_path": "", - "password": false, - "name": "session_id", - "display_name": "Session ID", - "advanced": false, - "dynamic": false, - "info": "If provided, the message will be stored in the memory.", - "title_case": false, - "input_types": [ - "Text" - ] - }, - "_type": "CustomComponent" - }, - "description": "Display a chat message in the Interaction Panel.", - "base_classes": [ - "object", - "Text", - "Record", - "str" - ], - "display_name": "Chat Output", - "documentation": "", - "custom_fields": { - "sender": null, - "sender_name": null, - "input_value": null, - "session_id": null, - "return_record": null - }, - "output_types": [ - "Text", - "Record" - ], - "field_formatters": {}, - "frozen": false, - "field_order": [], - "beta": false, - "icon": "ChatOutput" - }, - "id": "ChatOutput-zRrJz" - }, - "selected": false, - "width": 384, - "height": 675, - "positionAbsolute": { - "x": 2299.2806014585203, - "y": 449.2461295937437 - }, - "dragging": false - }, - { - "id": "OpenAIModel-mDfsk", - "type": "genericNode", - "position": { - "x": 1698.5020965619854, - "y": 213.01669602012862 + "x": 642.6764379749295, + "y": 1.4849847595449148 }, "data": { "type": "OpenAIModel", @@ -857,7 +246,7 @@ "list": true, "show": true, "multiline": false, - "value": "gpt-4-turbo-preview", + "value": "gpt-3.5-turbo-1106", "fileTypes": [], "file_path": "", "password": false, @@ -931,7 +320,7 @@ "list": false, "show": true, "multiline": false, - "value": false, + "value": true, "fileTypes": [], "file_path": "", "password": false, @@ -995,8 +384,8 @@ "icon": "OpenAI", "base_classes": [ "object", - "str", - "Text" + "Text", + "str" ], "display_name": "OpenAI", "documentation": "", @@ -1029,62 +418,560 @@ ], "beta": false }, - "id": "OpenAIModel-mDfsk" + "id": "OpenAIModel-u4NL8", + "description": "Generates text using OpenAI LLMs.", + "display_name": "OpenAI" + }, + "selected": true, + "width": 384, + "height": 561, + "positionAbsolute": { + "x": 642.6764379749295, + "y": 1.4849847595449148 + }, + "dragging": false + }, + { + "id": "ChatOutput-stoNg", + "type": "genericNode", + "position": { + "x": 1193.250417197867, + "y": 71.88476890163852 + }, + "data": { + "type": "ChatOutput", + "node": { + "template": { + "code": { + "type": "code", + "required": true, + "placeholder": "", + "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", + "fileTypes": [], + "file_path": "", + "password": false, + "name": "code", + "advanced": true, + "dynamic": true, + "info": "", + "load_from_db": false, + "title_case": false + }, + "input_value": { + "type": "str", + "required": false, + "placeholder": "", + "list": false, + "show": true, + "multiline": true, + "fileTypes": [], + "file_path": "", + "password": false, + "name": "input_value", + "display_name": "Message", + "advanced": false, + "input_types": [ + "Text" + ], + "dynamic": false, + "info": "", + "load_from_db": false, + "title_case": false + }, + "record_template": { + "type": "str", + "required": false, + "placeholder": "", + "list": false, + "show": true, + "multiline": true, + "value": "{text}", + "fileTypes": [], + "file_path": "", + "password": false, + "name": "record_template", + "display_name": "Record Template", + "advanced": true, + "dynamic": false, + "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" + ] + }, + "return_record": { + "type": "bool", + "required": false, + "placeholder": "", + "list": false, + "show": true, + "multiline": false, + "value": false, + "fileTypes": [], + "file_path": "", + "password": false, + "name": "return_record", + "display_name": "Return Record", + "advanced": true, + "dynamic": false, + "info": "Return the message as a record containing the sender, sender_name, and session_id.", + "load_from_db": false, + "title_case": false + }, + "sender": { + "type": "str", + "required": false, + "placeholder": "", + "list": true, + "show": true, + "multiline": false, + "value": "Machine", + "fileTypes": [], + "file_path": "", + "password": false, + "options": [ + "Machine", + "User" + ], + "name": "sender", + "display_name": "Sender Type", + "advanced": true, + "dynamic": false, + "info": "", + "load_from_db": false, + "title_case": false, + "input_types": [ + "Text" + ] + }, + "sender_name": { + "type": "str", + "required": false, + "placeholder": "", + "list": false, + "show": true, + "multiline": false, + "value": "AI", + "fileTypes": [], + "file_path": "", + "password": false, + "name": "sender_name", + "display_name": "Sender Name", + "advanced": false, + "dynamic": false, + "info": "", + "load_from_db": false, + "title_case": false, + "input_types": [ + "Text" + ] + }, + "session_id": { + "type": "str", + "required": false, + "placeholder": "", + "list": false, + "show": true, + "multiline": false, + "fileTypes": [], + "file_path": "", + "password": false, + "name": "session_id", + "display_name": "Session ID", + "advanced": true, + "dynamic": false, + "info": "If provided, the message will be stored in the memory.", + "load_from_db": false, + "title_case": false, + "input_types": [ + "Text" + ] + }, + "_type": "CustomComponent" + }, + "description": "Display a chat message in the Interaction Panel.", + "icon": "ChatOutput", + "base_classes": [ + "Record", + "Text", + "str", + "object" + ], + "display_name": "Chat Output", + "documentation": "", + "custom_fields": { + "sender": null, + "sender_name": null, + "input_value": null, + "session_id": null, + "return_record": null, + "record_template": null + }, + "output_types": [ + "Text", + "Record" + ], + "field_formatters": {}, + "frozen": false, + "field_order": [], + "beta": false + }, + "id": "ChatOutput-stoNg" }, "selected": false, "width": 384, - "height": 563, + "height": 383, "positionAbsolute": { - "x": 1698.5020965619854, - "y": 213.01669602012862 + "x": 1193.250417197867, + "y": 71.88476890163852 + }, + "dragging": false + }, + { + "id": "TextOutput-prj03", + "type": "genericNode", + "position": { + "x": 640.7986738161987, + "y": 724.7095283934595 + }, + "data": { + "type": "TextOutput", + "node": { + "template": { + "input_value": { + "type": "str", + "required": false, + "placeholder": "", + "list": false, + "show": true, + "multiline": false, + "value": "", + "fileTypes": [], + "file_path": "", + "password": false, + "name": "input_value", + "display_name": "Value", + "advanced": false, + "input_types": [ + "Record", + "Text" + ], + "dynamic": false, + "info": "Text or Record to be passed as output.", + "load_from_db": false, + "title_case": false + }, + "code": { + "type": "code", + "required": true, + "placeholder": "", + "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", + "fileTypes": [], + "file_path": "", + "password": false, + "name": "code", + "advanced": true, + "dynamic": true, + "info": "", + "load_from_db": false, + "title_case": false + }, + "record_template": { + "type": "str", + "required": false, + "placeholder": "", + "list": false, + "show": true, + "multiline": true, + "value": "{text}", + "fileTypes": [], + "file_path": "", + "password": false, + "name": "record_template", + "display_name": "Record Template", + "advanced": true, + "dynamic": false, + "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" + ] + }, + "_type": "CustomComponent" + }, + "description": "Display a text output in the Interaction Panel.", + "icon": "type", + "base_classes": [ + "Text", + "object", + "str" + ], + "display_name": "Inspect Prompt", + "documentation": "", + "custom_fields": { + "input_value": null, + "record_template": null + }, + "output_types": [ + "Text" + ], + "field_formatters": {}, + "frozen": false, + "field_order": [], + "beta": false + }, + "id": "TextOutput-prj03", + "description": "Display a text output in the Interaction Panel.", + "display_name": "Inspect Prompt" + }, + "selected": false, + "width": 384, + "height": 289, + "positionAbsolute": { + "x": 640.7986738161987, + "y": 724.7095283934595 + }, + "dragging": false + }, + { + "id": "TextInput-ARFMe", + "type": "genericNode", + "position": { + "x": -496.0627119809512, + "y": 212.27354495043377 + }, + "data": { + "type": "TextInput", + "node": { + "template": { + "code": { + "type": "code", + "required": true, + "placeholder": "", + "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", + "fileTypes": [], + "file_path": "", + "password": false, + "name": "code", + "advanced": true, + "dynamic": true, + "info": "", + "load_from_db": false, + "title_case": false + }, + "input_value": { + "type": "str", + "required": false, + "placeholder": "", + "list": false, + "show": true, + "multiline": false, + "value": "negative", + "fileTypes": [], + "file_path": "", + "password": false, + "name": "input_value", + "display_name": "Value", + "advanced": false, + "input_types": [ + "Record", + "Text" + ], + "dynamic": false, + "info": "Text or Record to be passed as input.", + "load_from_db": false, + "title_case": false + }, + "record_template": { + "type": "str", + "required": false, + "placeholder": "", + "list": false, + "show": true, + "multiline": true, + "value": "{text}", + "fileTypes": [], + "file_path": "", + "password": false, + "name": "record_template", + "display_name": "Record Template", + "advanced": true, + "dynamic": false, + "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" + ] + }, + "_type": "CustomComponent" + }, + "description": "Get text inputs from the Interaction Panel.", + "icon": "type", + "base_classes": [ + "object", + "Text", + "str" + ], + "display_name": "Focus Sentiment", + "documentation": "", + "custom_fields": { + "input_value": null, + "record_template": null + }, + "output_types": [ + "Text" + ], + "field_formatters": {}, + "frozen": false, + "field_order": [], + "beta": false + }, + "id": "TextInput-ARFMe", + "description": "Get text inputs from the Interaction Panel.", + "display_name": "Text Input" + }, + "selected": false, + "width": 384, + "height": 289, + "positionAbsolute": { + "x": -496.0627119809512, + "y": 212.27354495043377 + }, + "dragging": false + }, + { + "id": "TextInput-oKkcQ", + "type": "genericNode", + "position": { + "x": -501.8114356733282, + "y": -152.0266822138945 + }, + "data": { + "type": "TextInput", + "node": { + "template": { + "code": { + "type": "code", + "required": true, + "placeholder": "", + "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", + "fileTypes": [], + "file_path": "", + "password": false, + "name": "code", + "advanced": true, + "dynamic": true, + "info": "", + "load_from_db": false, + "title_case": false + }, + "input_value": { + "type": "str", + "required": false, + "placeholder": "", + "list": false, + "show": true, + "multiline": false, + "value": "\"Absolutely love this new coffee machine! It brews quickly and the coffee tastes amazing every time. However, the setup process was a bit complicated.\" \"I’m not happy with the battery life of the smartphone I purchased. It barely lasts half a day. On the plus side, the camera quality is exceptional.\"", + "fileTypes": [], + "file_path": "", + "password": false, + "name": "input_value", + "display_name": "Value", + "advanced": false, + "input_types": [ + "Record", + "Text" + ], + "dynamic": false, + "info": "Text or Record to be passed as input.", + "load_from_db": false, + "title_case": false + }, + "record_template": { + "type": "str", + "required": false, + "placeholder": "", + "list": false, + "show": true, + "multiline": true, + "value": "{text}", + "fileTypes": [], + "file_path": "", + "password": false, + "name": "record_template", + "display_name": "Record Template", + "advanced": true, + "dynamic": false, + "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" + ] + }, + "_type": "CustomComponent" + }, + "description": "Get text inputs from the Interaction Panel.", + "icon": "type", + "base_classes": [ + "object", + "Text", + "str" + ], + "display_name": "Reviews", + "documentation": "", + "custom_fields": { + "input_value": null, + "record_template": null + }, + "output_types": [ + "Text" + ], + "field_formatters": {}, + "frozen": false, + "field_order": [], + "beta": false + }, + "id": "TextInput-oKkcQ", + "description": "Get text inputs from the Interaction Panel.", + "display_name": "Text Input" + }, + "selected": false, + "width": 384, + "height": 289, + "positionAbsolute": { + "x": -501.8114356733282, + "y": -152.0266822138945 }, "dragging": false } ], "edges": [ { - "source": "ChatInput-HTY3h", - "sourceHandle": "{œbaseClassesœ:[œobjectœ,œTextœ,œRecordœ,œstrœ],œdataTypeœ:œChatInputœ,œidœ:œChatInput-HTY3hœ}", - "target": "Prompt-BbuIE", - "targetHandle": "{œfieldNameœ:œrequestœ,œidœ:œPrompt-BbuIEœ,œinputTypesœ:[œDocumentœ,œBaseOutputParserœ,œTextœ,œRecordœ],œtypeœ:œstrœ}", - "data": { - "targetHandle": { - "fieldName": "request", - "id": "Prompt-BbuIE", - "inputTypes": [ - "Document", - "BaseOutputParser", - "Text", - "Record" - ], - "type": "str" - }, - "sourceHandle": { - "baseClasses": [ - "object", - "Text", - "Record", - "str" - ], - "dataType": "ChatInput", - "id": "ChatInput-HTY3h" - } - }, - "style": { - "stroke": "#555" - }, - "className": "stroke-gray-900 stroke-connection", - "id": "reactflow__edge-ChatInput-HTY3h{œbaseClassesœ:[œobjectœ,œTextœ,œRecordœ,œstrœ],œdataTypeœ:œChatInputœ,œidœ:œChatInput-HTY3hœ}-Prompt-BbuIE{œfieldNameœ:œrequestœ,œidœ:œPrompt-BbuIEœ,œinputTypesœ:[œDocumentœ,œBaseOutputParserœ,œTextœ,œRecordœ],œtypeœ:œstrœ}" - }, - { - "source": "Prompt-BbuIE", - "sourceHandle": "{œbaseClassesœ:[œobjectœ,œTextœ,œstrœ],œdataTypeœ:œPromptœ,œidœ:œPrompt-BbuIEœ}", - "target": "TextOutput-MtLP2", - "targetHandle": "{œfieldNameœ:œinput_valueœ,œidœ:œTextOutput-MtLP2œ,œinputTypesœ:[œTextœ],œtypeœ:œstrœ}", + "source": "Prompt-nzvwK", + "sourceHandle": "{œbaseClassesœ:[œstrœ,œTextœ,œobjectœ],œdataTypeœ:œPromptœ,œidœ:œPrompt-nzvwKœ}", + "target": "OpenAIModel-u4NL8", + "targetHandle": "{œfieldNameœ:œinput_valueœ,œidœ:œOpenAIModel-u4NL8œ,œinputTypesœ:[œTextœ],œtypeœ:œstrœ}", "data": { "targetHandle": { "fieldName": "input_value", - "id": "TextOutput-MtLP2", + "id": "OpenAIModel-u4NL8", "inputTypes": [ "Text" ], @@ -1092,96 +979,33 @@ }, "sourceHandle": { "baseClasses": [ - "object", + "str", "Text", - "str" + "object" ], "dataType": "Prompt", - "id": "Prompt-BbuIE" + "id": "Prompt-nzvwK" } }, "style": { "stroke": "#555" }, "className": "stroke-gray-900 stroke-connection", - "id": "reactflow__edge-Prompt-BbuIE{œbaseClassesœ:[œobjectœ,œTextœ,œstrœ],œdataTypeœ:œPromptœ,œidœ:œPrompt-BbuIEœ}-TextOutput-MtLP2{œfieldNameœ:œinput_valueœ,œidœ:œTextOutput-MtLP2œ,œinputTypesœ:[œTextœ],œtypeœ:œstrœ}" + "id": "reactflow__edge-Prompt-nzvwK{œbaseClassesœ:[œstrœ,œTextœ,œobjectœ],œdataTypeœ:œPromptœ,œidœ:œPrompt-nzvwKœ}-OpenAIModel-u4NL8{œfieldNameœ:œinput_valueœ,œidœ:œOpenAIModel-u4NL8œ,œinputTypesœ:[œTextœ],œtypeœ:œstrœ}" }, { - "source": "TextInput-qQVvJ", - "sourceHandle": "{œbaseClassesœ:[œobjectœ,œTextœ,œstrœ],œdataTypeœ:œTextInputœ,œidœ:œTextInput-qQVvJœ}", - "target": "Prompt-BbuIE", - "targetHandle": "{œfieldNameœ:œtopic_2œ,œidœ:œPrompt-BbuIEœ,œinputTypesœ:[œDocumentœ,œBaseOutputParserœ,œTextœ,œRecordœ],œtypeœ:œstrœ}", + "source": "TextInput-ARFMe", + "sourceHandle": "{œbaseClassesœ:[œobjectœ,œTextœ,œstrœ],œdataTypeœ:œTextInputœ,œidœ:œTextInput-ARFMeœ}", + "target": "Prompt-nzvwK", + "targetHandle": "{œfieldNameœ:œsentimentœ,œidœ:œPrompt-nzvwKœ,œinputTypesœ:[œDocumentœ,œBaseOutputParserœ,œRecordœ,œTextœ],œtypeœ:œstrœ}", "data": { "targetHandle": { - "fieldName": "topic_2", - "id": "Prompt-BbuIE", + "fieldName": "sentiment", + "id": "Prompt-nzvwK", "inputTypes": [ "Document", "BaseOutputParser", - "Text", - "Record" - ], - "type": "str" - }, - "sourceHandle": { - "baseClasses": [ - "object", - "Text", - "str" - ], - "dataType": "TextInput", - "id": "TextInput-qQVvJ" - } - }, - "style": { - "stroke": "#555" - }, - "className": "stroke-gray-900 stroke-connection", - "id": "reactflow__edge-TextInput-qQVvJ{œbaseClassesœ:[œobjectœ,œTextœ,œstrœ],œdataTypeœ:œTextInputœ,œidœ:œTextInput-qQVvJœ}-Prompt-BbuIE{œfieldNameœ:œtopic_2œ,œidœ:œPrompt-BbuIEœ,œinputTypesœ:[œDocumentœ,œBaseOutputParserœ,œTextœ,œRecordœ],œtypeœ:œstrœ}" - }, - { - "source": "TextInput-DMvJK", - "sourceHandle": "{œbaseClassesœ:[œobjectœ,œTextœ,œstrœ],œdataTypeœ:œTextInputœ,œidœ:œTextInput-DMvJKœ}", - "target": "Prompt-BbuIE", - "targetHandle": "{œfieldNameœ:œtopic_1œ,œidœ:œPrompt-BbuIEœ,œinputTypesœ:[œDocumentœ,œBaseOutputParserœ,œTextœ,œRecordœ],œtypeœ:œstrœ}", - "data": { - "targetHandle": { - "fieldName": "topic_1", - "id": "Prompt-BbuIE", - "inputTypes": [ - "Document", - "BaseOutputParser", - "Text", - "Record" - ], - "type": "str" - }, - "sourceHandle": { - "baseClasses": [ - "object", - "Text", - "str" - ], - "dataType": "TextInput", - "id": "TextInput-DMvJK" - } - }, - "style": { - "stroke": "#555" - }, - "className": "stroke-gray-900 stroke-connection", - "id": "reactflow__edge-TextInput-DMvJK{œbaseClassesœ:[œobjectœ,œTextœ,œstrœ],œdataTypeœ:œTextInputœ,œidœ:œTextInput-DMvJKœ}-Prompt-BbuIE{œfieldNameœ:œtopic_1œ,œidœ:œPrompt-BbuIEœ,œinputTypesœ:[œDocumentœ,œBaseOutputParserœ,œTextœ,œRecordœ],œtypeœ:œstrœ}" - }, - { - "source": "TextOutput-MtLP2", - "sourceHandle": "{œbaseClassesœ:[œobjectœ,œTextœ,œstrœ],œdataTypeœ:œTextOutputœ,œidœ:œTextOutput-MtLP2œ}", - "target": "OpenAIModel-mDfsk", - "targetHandle": "{œfieldNameœ:œinput_valueœ,œidœ:œOpenAIModel-mDfskœ,œinputTypesœ:[œTextœ],œtypeœ:œstrœ}", - "data": { - "targetHandle": { - "fieldName": "input_value", - "id": "OpenAIModel-mDfsk", - "inputTypes": [ + "Record", "Text" ], "type": "str" @@ -1192,26 +1016,29 @@ "Text", "str" ], - "dataType": "TextOutput", - "id": "TextOutput-MtLP2" + "dataType": "TextInput", + "id": "TextInput-ARFMe" } }, "style": { "stroke": "#555" }, - "className": "stroke-foreground stroke-connection", - "id": "reactflow__edge-TextOutput-MtLP2{œbaseClassesœ:[œobjectœ,œTextœ,œstrœ],œdataTypeœ:œTextOutputœ,œidœ:œTextOutput-MtLP2œ}-OpenAIModel-mDfsk{œfieldNameœ:œinput_valueœ,œidœ:œOpenAIModel-mDfskœ,œinputTypesœ:[œTextœ],œtypeœ:œstrœ}" + "className": "stroke-gray-900 stroke-connection", + "id": "reactflow__edge-TextInput-ARFMe{œbaseClassesœ:[œobjectœ,œTextœ,œstrœ],œdataTypeœ:œTextInputœ,œidœ:œTextInput-ARFMeœ}-Prompt-nzvwK{œfieldNameœ:œsentimentœ,œidœ:œPrompt-nzvwKœ,œinputTypesœ:[œDocumentœ,œBaseOutputParserœ,œRecordœ,œTextœ],œtypeœ:œstrœ}" }, { - "source": "OpenAIModel-mDfsk", - "sourceHandle": "{œbaseClassesœ:[œobjectœ,œstrœ,œTextœ],œdataTypeœ:œOpenAIModelœ,œidœ:œOpenAIModel-mDfskœ}", - "target": "ChatOutput-zRrJz", - "targetHandle": "{œfieldNameœ:œinput_valueœ,œidœ:œChatOutput-zRrJzœ,œinputTypesœ:[œTextœ],œtypeœ:œstrœ}", + "source": "TextInput-oKkcQ", + "sourceHandle": "{œbaseClassesœ:[œobjectœ,œTextœ,œstrœ],œdataTypeœ:œTextInputœ,œidœ:œTextInput-oKkcQœ}", + "target": "Prompt-nzvwK", + "targetHandle": "{œfieldNameœ:œreviewsœ,œidœ:œPrompt-nzvwKœ,œinputTypesœ:[œDocumentœ,œBaseOutputParserœ,œRecordœ,œTextœ],œtypeœ:œstrœ}", "data": { "targetHandle": { - "fieldName": "input_value", - "id": "ChatOutput-zRrJz", + "fieldName": "reviews", + "id": "Prompt-nzvwK", "inputTypes": [ + "Document", + "BaseOutputParser", + "Record", "Text" ], "type": "str" @@ -1219,24 +1046,85 @@ "sourceHandle": { "baseClasses": [ "object", + "Text", + "str" + ], + "dataType": "TextInput", + "id": "TextInput-oKkcQ" + } + }, + "style": { + "stroke": "#555" + }, + "className": "stroke-gray-900 stroke-connection", + "id": "reactflow__edge-TextInput-oKkcQ{œbaseClassesœ:[œobjectœ,œTextœ,œstrœ],œdataTypeœ:œTextInputœ,œidœ:œTextInput-oKkcQœ}-Prompt-nzvwK{œfieldNameœ:œreviewsœ,œidœ:œPrompt-nzvwKœ,œinputTypesœ:[œDocumentœ,œBaseOutputParserœ,œRecordœ,œTextœ],œtypeœ:œstrœ}" + }, + { + "source": "Prompt-nzvwK", + "sourceHandle": "{œbaseClassesœ:[œstrœ,œTextœ,œobjectœ],œdataTypeœ:œPromptœ,œidœ:œPrompt-nzvwKœ}", + "target": "TextOutput-prj03", + "targetHandle": "{œfieldNameœ:œinput_valueœ,œidœ:œTextOutput-prj03œ,œinputTypesœ:[œRecordœ,œTextœ],œtypeœ:œstrœ}", + "data": { + "targetHandle": { + "fieldName": "input_value", + "id": "TextOutput-prj03", + "inputTypes": [ + "Record", + "Text" + ], + "type": "str" + }, + "sourceHandle": { + "baseClasses": [ "str", + "Text", + "object" + ], + "dataType": "Prompt", + "id": "Prompt-nzvwK" + } + }, + "style": { + "stroke": "#555" + }, + "className": "stroke-gray-900 stroke-connection", + "id": "reactflow__edge-Prompt-nzvwK{œbaseClassesœ:[œstrœ,œTextœ,œobjectœ],œdataTypeœ:œPromptœ,œidœ:œPrompt-nzvwKœ}-TextOutput-prj03{œfieldNameœ:œinput_valueœ,œidœ:œTextOutput-prj03œ,œinputTypesœ:[œRecordœ,œTextœ],œtypeœ:œstrœ}" + }, + { + "source": "OpenAIModel-u4NL8", + "sourceHandle": "{œbaseClassesœ:[œobjectœ,œTextœ,œstrœ],œdataTypeœ:œOpenAIModelœ,œidœ:œOpenAIModel-u4NL8œ}", + "target": "ChatOutput-stoNg", + "targetHandle": "{œfieldNameœ:œinput_valueœ,œidœ:œChatOutput-stoNgœ,œinputTypesœ:[œTextœ],œtypeœ:œstrœ}", + "data": { + "targetHandle": { + "fieldName": "input_value", + "id": "ChatOutput-stoNg", + "inputTypes": [ "Text" ], + "type": "str" + }, + "sourceHandle": { + "baseClasses": [ + "object", + "Text", + "str" + ], "dataType": "OpenAIModel", - "id": "OpenAIModel-mDfsk" + "id": "OpenAIModel-u4NL8" } }, "style": { "stroke": "#555" }, - "className": "stroke-foreground stroke-connection", - "id": "reactflow__edge-OpenAIModel-mDfsk{œbaseClassesœ:[œobjectœ,œstrœ,œTextœ],œdataTypeœ:œOpenAIModelœ,œidœ:œOpenAIModel-mDfskœ}-ChatOutput-zRrJz{œfieldNameœ:œinput_valueœ,œidœ:œChatOutput-zRrJzœ,œinputTypesœ:[œTextœ],œtypeœ:œstrœ}" + "className": "stroke-gray-900 stroke-connection", + "id": "reactflow__edge-OpenAIModel-u4NL8{œbaseClassesœ:[œobjectœ,œTextœ,œstrœ],œdataTypeœ:œOpenAIModelœ,œidœ:œOpenAIModel-u4NL8œ}-ChatOutput-stoNg{œfieldNameœ:œinput_valueœ,œidœ:œChatOutput-stoNgœ,œinputTypesœ:[œTextœ],œtypeœ:œstrœ}" } ], "viewport": { - "x": 25.006295501767738, - "y": 121.09135278538275, - "zoom": 0.3619845430948907 + "x": 319.9710437562943, + "y": 143.9251365088694, + "zoom": 0.5282102678500032 } }, "description": "Use a language model to generate text based on a prompt. \n\nIn this project, you'll be able to generate text based on a request and some topics.\n\nThe Topic 1 and Topic 2 components are actually Text Input, while the Prompt Output component is a Text Output. Changing the name of the component makes them easier to identify when interacting with them.", 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 e9c580c0a..f56b5603f 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 @@ -1 +1,989 @@ -{"id":"163e4b44-7d18-4166-b7e4-95b04560e255","data":{"nodes":[{"id":"Prompt-3taIG","type":"genericNode","position":{"x":1331.381712783371,"y":535.0279854229713},"data":{"type":"Prompt","node":{"template":{"code":{"type":"code","required":true,"placeholder":"","list":false,"show":true,"multiline":true,"value":"from langchain_core.prompts import PromptTemplate\n\nfrom langflow.field_typing import Prompt, TemplateField, Text\nfrom langflow.interface.custom.custom_component import CustomComponent\n\n\nclass PromptComponent(CustomComponent):\n display_name: str = \"Prompt\"\n description: str = \"Create a prompt template with dynamic variables.\"\n icon = \"prompts\"\n\n def build_config(self):\n return {\n \"template\": TemplateField(display_name=\"Template\"),\n \"code\": TemplateField(advanced=True),\n }\n\n def build(\n self,\n template: Prompt,\n **kwargs,\n ) -> Text:\n from langflow.base.prompts.utils import dict_values_to_string\n\n prompt_template = PromptTemplate.from_template(Text(template))\n kwargs = dict_values_to_string(kwargs)\n kwargs = {k: \"\\n\".join(v) if isinstance(v, list) else v for k, v in kwargs.items()}\n try:\n formated_prompt = prompt_template.format(**kwargs)\n except Exception as exc:\n raise ValueError(f\"Error formatting prompt: {exc}\") from exc\n self.status = f'Prompt:\\n\"{formated_prompt}\"'\n return formated_prompt\n","fileTypes":[],"file_path":"","password":false,"name":"code","advanced":true,"dynamic":true,"info":"","load_from_db":false,"title_case":false},"template":{"type":"prompt","required":false,"placeholder":"","list":false,"show":true,"multiline":false,"value":"Reference 1:\n\n{reference_1}\n\n---\n\nReference 2:\n\n{reference_2}\n\n---\n\nReference 3:\n\n{reference_3}\n\n---\n\nStructure:\n\n{structure}\n\n\n---\n\n{instructions}\n\nFinal Blog:\n\n","fileTypes":[],"file_path":"","password":false,"name":"template","display_name":"Template","advanced":false,"input_types":["Text"],"dynamic":false,"info":"","load_from_db":false,"title_case":false},"_type":"CustomComponent","reference_1":{"field_type":"str","required":false,"placeholder":"","list":false,"show":true,"multiline":true,"value":"","fileTypes":[],"file_path":"","password":false,"name":"reference_1","display_name":"reference_1","advanced":false,"input_types":["Document","BaseOutputParser","Record","Text"],"dynamic":false,"info":"","load_from_db":false,"title_case":false,"type":"str"},"reference_2":{"field_type":"str","required":false,"placeholder":"","list":false,"show":true,"multiline":true,"value":"","fileTypes":[],"file_path":"","password":false,"name":"reference_2","display_name":"reference_2","advanced":false,"input_types":["Document","BaseOutputParser","Record","Text"],"dynamic":false,"info":"","load_from_db":false,"title_case":false,"type":"str"},"structure":{"field_type":"str","required":false,"placeholder":"","list":false,"show":true,"multiline":true,"value":"Analyzing the Acquisition of SOCCER PLAYER by SOCCER TEAM (anonymized data)\nReflecting on the player's arrival X seasons ago…\nExploring the rationale behind this transfer and its potential impact on team dynamics\nWhat lies ahead? Insights into the revamped lineup and the buzz it generates among supporters\n\nThis analysis delves into the recent acquisition of a soccer player by a prominent team. Here's why this move is noteworthy:\n\nThe player's integration into the team several seasons ago marked a significant turning point.\nExamining the strategic reasoning behind this transfer sheds light on the team's evolving tactics and ambitions.\nA glimpse into the upcoming lineup hints at the team's competitive edge and fan excitement, setting the stage for an exciting season ahead.","fileTypes":[],"file_path":"","password":false,"name":"structure","display_name":"structure","advanced":false,"input_types":["Document","BaseOutputParser","Record","Text"],"dynamic":false,"info":"","load_from_db":false,"title_case":false,"type":"str"},"reference_3":{"field_type":"str","required":false,"placeholder":"","list":false,"show":true,"multiline":true,"value":"","fileTypes":[],"file_path":"","password":false,"name":"reference_3","display_name":"reference_3","advanced":false,"input_types":["Document","BaseOutputParser","Record","Text"],"dynamic":false,"info":"","load_from_db":false,"title_case":false,"type":"str"},"instructions":{"field_type":"str","required":false,"placeholder":"","list":false,"show":true,"multiline":true,"value":"Given the references and structure provided, write a blog about SOCCER PLAYER being acquired by SOCCER TEAM.","fileTypes":[],"file_path":"","password":false,"name":"instructions","display_name":"instructions","advanced":false,"input_types":["Document","BaseOutputParser","Record","Text"],"dynamic":false,"info":"","load_from_db":false,"title_case":false,"type":"str"}},"description":"Create a prompt template with dynamic variables.","icon":"prompts","is_input":null,"is_output":null,"is_composition":null,"base_classes":["Text","str","object"],"name":"","display_name":"Prompt","documentation":"","custom_fields":{"template":["reference_1","reference_2","reference_3","structure","instructions"]},"output_types":["Text"],"full_path":null,"field_formatters":{},"frozen":false,"field_order":[],"beta":false,"error":null},"id":"Prompt-3taIG","description":"Create a prompt template with dynamic variables.","display_name":"Prompt"},"selected":false,"width":384,"height":762,"dragging":false,"positionAbsolute":{"x":1331.381712783371,"y":535.0279854229713}},{"id":"URL-lRph2","type":"genericNode","position":{"x":597.7955409467556,"y":736.8178220997634},"data":{"type":"URL","node":{"template":{"code":{"type":"code","required":true,"placeholder":"","list":false,"show":true,"multiline":true,"value":"from typing import Any, Dict\n\nfrom langchain_community.document_loaders.web_base import WebBaseLoader\n\nfrom langflow.interface.custom.custom_component import CustomComponent\nfrom langflow.schema import Record\n\n\nclass URLComponent(CustomComponent):\n display_name = \"URL\"\n description = \"Fetch content from one or more URLs.\"\n icon = \"layout-template\"\n\n def build_config(self) -> Dict[str, Any]:\n return {\n \"urls\": {\"display_name\": \"URL\"},\n }\n\n def build(\n self,\n urls: list[str],\n ) -> list[Record]:\n loader = WebBaseLoader(web_paths=urls)\n docs = loader.load()\n records = self.to_records(docs)\n self.status = records\n return records\n","fileTypes":[],"file_path":"","password":false,"name":"code","advanced":true,"dynamic":true,"info":"","load_from_db":false,"title_case":false},"urls":{"type":"str","required":true,"placeholder":"","list":true,"show":true,"multiline":false,"fileTypes":[],"file_path":"","password":false,"name":"urls","display_name":"URL","advanced":false,"dynamic":false,"info":"","load_from_db":false,"title_case":false,"input_types":["Text"],"value":["https://www.marca.com/en/football/psg/2023/08/15/64dbaa6de2704ea0868b45c8.html"]},"_type":"CustomComponent"},"description":"Fetch content from one or more URLs.","icon":"layout-template","base_classes":["Record"],"display_name":"URL","documentation":"","custom_fields":{"urls":null},"output_types":["Record"],"field_formatters":{},"frozen":false,"field_order":[],"beta":false},"id":"URL-lRph2"},"selected":false,"width":384,"height":282,"positionAbsolute":{"x":597.7955409467556,"y":736.8178220997634},"dragging":false},{"id":"URL-7Dziz","type":"genericNode","position":{"x":574.4142139929079,"y":1175.2784505900304},"data":{"type":"URL","node":{"template":{"code":{"type":"code","required":true,"placeholder":"","list":false,"show":true,"multiline":true,"value":"from typing import Any, Dict\n\nfrom langchain_community.document_loaders.web_base import WebBaseLoader\n\nfrom langflow.interface.custom.custom_component import CustomComponent\nfrom langflow.schema import Record\n\n\nclass URLComponent(CustomComponent):\n display_name = \"URL\"\n description = \"Fetch content from one or more URLs.\"\n icon = \"layout-template\"\n\n def build_config(self) -> Dict[str, Any]:\n return {\n \"urls\": {\"display_name\": \"URL\"},\n }\n\n def build(\n self,\n urls: list[str],\n ) -> list[Record]:\n loader = WebBaseLoader(web_paths=urls)\n docs = loader.load()\n records = self.to_records(docs)\n self.status = records\n return records\n","fileTypes":[],"file_path":"","password":false,"name":"code","advanced":true,"dynamic":true,"info":"","load_from_db":false,"title_case":false},"urls":{"type":"str","required":true,"placeholder":"","list":true,"show":true,"multiline":false,"fileTypes":[],"file_path":"","password":false,"name":"urls","display_name":"URL","advanced":false,"dynamic":false,"info":"","load_from_db":false,"title_case":false,"input_types":["Text"],"value":["https://www.bbc.com/sport/football/66495833"]},"_type":"CustomComponent"},"description":"Fetch content from one or more URLs.","icon":"layout-template","base_classes":["Record"],"display_name":"URL","documentation":"","custom_fields":{"urls":null},"output_types":["Record"],"field_formatters":{},"frozen":false,"field_order":[],"beta":false},"id":"URL-7Dziz"},"selected":false,"width":384,"height":282},{"id":"ChatOutput-fi9CW","type":"genericNode","position":{"x":2503.8617424688505,"y":789.3005578928434},"data":{"type":"ChatOutput","node":{"template":{"code":{"type":"code","required":true,"placeholder":"","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","fileTypes":[],"file_path":"","password":false,"name":"code","advanced":true,"dynamic":true,"info":"","load_from_db":false,"title_case":false},"input_value":{"type":"str","required":false,"placeholder":"","list":false,"show":true,"multiline":true,"fileTypes":[],"file_path":"","password":false,"name":"input_value","display_name":"Message","advanced":false,"input_types":["Text"],"dynamic":false,"info":"","load_from_db":false,"title_case":false},"record_template":{"type":"str","required":false,"placeholder":"","list":false,"show":true,"multiline":true,"value":"{text}","fileTypes":[],"file_path":"","password":false,"name":"record_template","display_name":"Record Template","advanced":true,"dynamic":false,"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"]},"return_record":{"type":"bool","required":false,"placeholder":"","list":false,"show":true,"multiline":false,"value":false,"fileTypes":[],"file_path":"","password":false,"name":"return_record","display_name":"Return Record","advanced":true,"dynamic":false,"info":"Return the message as a record containing the sender, sender_name, and session_id.","load_from_db":false,"title_case":false},"sender":{"type":"str","required":false,"placeholder":"","list":true,"show":true,"multiline":false,"value":"Machine","fileTypes":[],"file_path":"","password":false,"options":["Machine","User"],"name":"sender","display_name":"Sender Type","advanced":true,"dynamic":false,"info":"","load_from_db":false,"title_case":false,"input_types":["Text"]},"sender_name":{"type":"str","required":false,"placeholder":"","list":false,"show":true,"multiline":false,"value":"AI","fileTypes":[],"file_path":"","password":false,"name":"sender_name","display_name":"Sender Name","advanced":false,"dynamic":false,"info":"","load_from_db":false,"title_case":false,"input_types":["Text"]},"session_id":{"type":"str","required":false,"placeholder":"","list":false,"show":true,"multiline":false,"fileTypes":[],"file_path":"","password":false,"name":"session_id","display_name":"Session ID","advanced":true,"dynamic":false,"info":"If provided, the message will be stored in the memory.","load_from_db":false,"title_case":false,"input_types":["Text"]},"_type":"CustomComponent"},"description":"Display a chat message in the Interaction Panel.","icon":"ChatOutput","base_classes":["Text","Record","object","str"],"display_name":"Chat Output","documentation":"","custom_fields":{"sender":null,"sender_name":null,"input_value":null,"session_id":null,"return_record":null,"record_template":null},"output_types":["Text","Record"],"field_formatters":{},"frozen":false,"field_order":[],"beta":false},"id":"ChatOutput-fi9CW"},"selected":false,"width":384,"height":385},{"id":"OpenAIModel-ZD1ks","type":"genericNode","position":{"x":1917.7089968570963,"y":575.9186499244129},"data":{"type":"OpenAIModel","node":{"template":{"input_value":{"type":"str","required":true,"placeholder":"","list":false,"show":true,"multiline":false,"fileTypes":[],"file_path":"","password":false,"name":"input_value","display_name":"Input","advanced":false,"dynamic":false,"info":"","load_from_db":false,"title_case":false,"input_types":["Text"]},"code":{"type":"code","required":true,"placeholder":"","list":false,"show":true,"multiline":true,"value":"from typing import Optional\n\nfrom langchain_openai import ChatOpenAI\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-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 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=openai_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,"name":"code","advanced":true,"dynamic":true,"info":"","load_from_db":false,"title_case":false},"max_tokens":{"type":"int","required":false,"placeholder":"","list":false,"show":true,"multiline":false,"value":"1024","fileTypes":[],"file_path":"","password":false,"name":"max_tokens","display_name":"Max Tokens","advanced":true,"dynamic":false,"info":"","load_from_db":false,"title_case":false},"model_kwargs":{"type":"NestedDict","required":false,"placeholder":"","list":false,"show":true,"multiline":false,"value":{},"fileTypes":[],"file_path":"","password":false,"name":"model_kwargs","display_name":"Model Kwargs","advanced":true,"dynamic":false,"info":"","load_from_db":false,"title_case":false},"model_name":{"type":"str","required":true,"placeholder":"","list":true,"show":true,"multiline":false,"value":"gpt-3.5-turbo-0125","fileTypes":[],"file_path":"","password":false,"options":["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"],"name":"model_name","display_name":"Model Name","advanced":false,"dynamic":false,"info":"","load_from_db":false,"title_case":false,"input_types":["Text"]},"openai_api_base":{"type":"str","required":false,"placeholder":"","list":false,"show":true,"multiline":false,"fileTypes":[],"file_path":"","password":false,"name":"openai_api_base","display_name":"OpenAI API Base","advanced":true,"dynamic":false,"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"]},"openai_api_key":{"type":"str","required":true,"placeholder":"","list":false,"show":true,"multiline":false,"fileTypes":[],"file_path":"","password":true,"name":"openai_api_key","display_name":"OpenAI API Key","advanced":false,"dynamic":false,"info":"The OpenAI API Key to use for the OpenAI model.","load_from_db":false,"title_case":false,"input_types":["Text"],"value":""},"stream":{"type":"bool","required":false,"placeholder":"","list":false,"show":true,"multiline":false,"value":true,"fileTypes":[],"file_path":"","password":false,"name":"stream","display_name":"Stream","advanced":true,"dynamic":false,"info":"Stream the response from the model. Streaming works only in Chat.","load_from_db":false,"title_case":false},"system_message":{"type":"str","required":false,"placeholder":"","list":false,"show":true,"multiline":false,"fileTypes":[],"file_path":"","password":false,"name":"system_message","display_name":"System Message","advanced":true,"dynamic":false,"info":"System message to pass to the model.","load_from_db":false,"title_case":false,"input_types":["Text"]},"temperature":{"type":"float","required":true,"placeholder":"","list":false,"show":true,"multiline":false,"value":"0.7","fileTypes":[],"file_path":"","password":false,"name":"temperature","display_name":"Temperature","advanced":false,"dynamic":false,"info":"","rangeSpec":{"step_type":"float","min":-1,"max":1,"step":0.1},"load_from_db":false,"title_case":false},"_type":"CustomComponent"},"description":"Generates text using OpenAI LLMs.","icon":"OpenAI","base_classes":["str","Text","object"],"display_name":"OpenAI","documentation":"","custom_fields":{"input_value":null,"openai_api_key":null,"temperature":null,"model_name":null,"max_tokens":null,"model_kwargs":null,"openai_api_base":null,"stream":null,"system_message":null},"output_types":["Text"],"field_formatters":{},"frozen":false,"field_order":["max_tokens","model_kwargs","model_name","openai_api_base","openai_api_key","temperature","input_value","system_message","stream"],"beta":false},"id":"OpenAIModel-ZD1ks"},"selected":true,"width":384,"height":565,"positionAbsolute":{"x":1917.7089968570963,"y":575.9186499244129},"dragging":false},{"id":"URL-jdykB","type":"genericNode","position":{"x":573.961301764604,"y":336.41463436122086},"data":{"type":"URL","node":{"template":{"code":{"type":"code","required":true,"placeholder":"","list":false,"show":true,"multiline":true,"value":"from typing import Any, Dict\n\nfrom langchain_community.document_loaders.web_base import WebBaseLoader\n\nfrom langflow.interface.custom.custom_component import CustomComponent\nfrom langflow.schema import Record\n\n\nclass URLComponent(CustomComponent):\n display_name = \"URL\"\n description = \"Fetch content from one or more URLs.\"\n icon = \"layout-template\"\n\n def build_config(self) -> Dict[str, Any]:\n return {\n \"urls\": {\"display_name\": \"URL\"},\n }\n\n def build(\n self,\n urls: list[str],\n ) -> list[Record]:\n loader = WebBaseLoader(web_paths=urls)\n docs = loader.load()\n records = self.to_records(docs)\n self.status = records\n return records\n","fileTypes":[],"file_path":"","password":false,"name":"code","advanced":true,"dynamic":true,"info":"","load_from_db":false,"title_case":false},"urls":{"type":"str","required":true,"placeholder":"","list":true,"show":true,"multiline":false,"fileTypes":[],"file_path":"","password":false,"name":"urls","display_name":"URL","advanced":false,"dynamic":false,"info":"","load_from_db":false,"title_case":false,"input_types":["Text"],"value":["https://ge.globo.com/futebol/futebol-internacional/futebol-saudita/noticia/2024/03/10/zagueiro-do-al-hilal-rasga-elogios-a-neymar-ele-e-incrivel.ghtml"]},"_type":"CustomComponent"},"description":"Fetch content from one or more URLs.","icon":"layout-template","base_classes":["Record"],"display_name":"URL","documentation":"","custom_fields":{"urls":null},"output_types":["Record"],"field_formatters":{},"frozen":false,"field_order":[],"beta":false},"id":"URL-jdykB"},"selected":false,"width":384,"height":282,"positionAbsolute":{"x":573.961301764604,"y":336.41463436122086},"dragging":false}],"edges":[{"source":"URL-7Dziz","target":"Prompt-3taIG","sourceHandle":"{œbaseClassesœ:[œRecordœ],œdataTypeœ:œURLœ,œidœ:œURL-7Dzizœ}","targetHandle":"{œfieldNameœ:œreference_3œ,œidœ:œPrompt-3taIGœ,œinputTypesœ:[œDocumentœ,œBaseOutputParserœ,œRecordœ,œTextœ],œtypeœ:œstrœ}","id":"reactflow__edge-URL-7Dziz{œbaseClassesœ:[œRecordœ],œdataTypeœ:œURLœ,œidœ:œURL-7Dzizœ}-Prompt-3taIG{œfieldNameœ:œreference_3œ,œidœ:œPrompt-3taIGœ,œinputTypesœ:[œDocumentœ,œBaseOutputParserœ,œRecordœ,œTextœ],œtypeœ:œstrœ}","data":{"targetHandle":{"fieldName":"reference_3","id":"Prompt-3taIG","inputTypes":["Document","BaseOutputParser","Record","Text"],"type":"str"},"sourceHandle":{"baseClasses":["Record"],"dataType":"URL","id":"URL-7Dziz"}},"style":{"stroke":"#555"},"className":"stroke-gray-900 ","selected":false},{"source":"URL-lRph2","target":"Prompt-3taIG","sourceHandle":"{œbaseClassesœ:[œRecordœ],œdataTypeœ:œURLœ,œidœ:œURL-lRph2œ}","targetHandle":"{œfieldNameœ:œreference_2œ,œidœ:œPrompt-3taIGœ,œinputTypesœ:[œDocumentœ,œBaseOutputParserœ,œRecordœ,œTextœ],œtypeœ:œstrœ}","id":"reactflow__edge-URL-lRph2{œbaseClassesœ:[œRecordœ],œdataTypeœ:œURLœ,œidœ:œURL-lRph2œ}-Prompt-3taIG{œfieldNameœ:œreference_2œ,œidœ:œPrompt-3taIGœ,œinputTypesœ:[œDocumentœ,œBaseOutputParserœ,œRecordœ,œTextœ],œtypeœ:œstrœ}","data":{"targetHandle":{"fieldName":"reference_2","id":"Prompt-3taIG","inputTypes":["Document","BaseOutputParser","Record","Text"],"type":"str"},"sourceHandle":{"baseClasses":["Record"],"dataType":"URL","id":"URL-lRph2"}},"style":{"stroke":"#555"},"className":"stroke-gray-900 ","selected":false},{"source":"Prompt-3taIG","sourceHandle":"{œbaseClassesœ:[œTextœ,œstrœ,œobjectœ],œdataTypeœ:œPromptœ,œidœ:œPrompt-3taIGœ}","target":"OpenAIModel-ZD1ks","targetHandle":"{œfieldNameœ:œinput_valueœ,œidœ:œOpenAIModel-ZD1ksœ,œinputTypesœ:[œTextœ],œtypeœ:œstrœ}","data":{"targetHandle":{"fieldName":"input_value","id":"OpenAIModel-ZD1ks","inputTypes":["Text"],"type":"str"},"sourceHandle":{"baseClasses":["Text","str","object"],"dataType":"Prompt","id":"Prompt-3taIG"}},"style":{"stroke":"#555"},"className":"stroke-foreground stroke-connection","id":"reactflow__edge-Prompt-3taIG{œbaseClassesœ:[œTextœ,œstrœ,œobjectœ],œdataTypeœ:œPromptœ,œidœ:œPrompt-3taIGœ}-OpenAIModel-ZD1ks{œfieldNameœ:œinput_valueœ,œidœ:œOpenAIModel-ZD1ksœ,œinputTypesœ:[œTextœ],œtypeœ:œstrœ}"},{"source":"OpenAIModel-ZD1ks","sourceHandle":"{œbaseClassesœ:[œstrœ,œTextœ,œobjectœ],œdataTypeœ:œOpenAIModelœ,œidœ:œOpenAIModel-ZD1ksœ}","target":"ChatOutput-fi9CW","targetHandle":"{œfieldNameœ:œinput_valueœ,œidœ:œChatOutput-fi9CWœ,œinputTypesœ:[œTextœ],œtypeœ:œstrœ}","data":{"targetHandle":{"fieldName":"input_value","id":"ChatOutput-fi9CW","inputTypes":["Text"],"type":"str"},"sourceHandle":{"baseClasses":["str","Text","object"],"dataType":"OpenAIModel","id":"OpenAIModel-ZD1ks"}},"style":{"stroke":"#555"},"className":"stroke-foreground stroke-connection","id":"reactflow__edge-OpenAIModel-ZD1ks{œbaseClassesœ:[œstrœ,œTextœ,œobjectœ],œdataTypeœ:œOpenAIModelœ,œidœ:œOpenAIModel-ZD1ksœ}-ChatOutput-fi9CW{œfieldNameœ:œinput_valueœ,œidœ:œChatOutput-fi9CWœ,œinputTypesœ:[œTextœ],œtypeœ:œstrœ}"},{"source":"URL-jdykB","sourceHandle":"{œbaseClassesœ:[œRecordœ],œdataTypeœ:œURLœ,œidœ:œURL-jdykBœ}","target":"Prompt-3taIG","targetHandle":"{œfieldNameœ:œreference_1œ,œidœ:œPrompt-3taIGœ,œinputTypesœ:[œDocumentœ,œBaseOutputParserœ,œRecordœ,œTextœ],œtypeœ:œstrœ}","data":{"targetHandle":{"fieldName":"reference_1","id":"Prompt-3taIG","inputTypes":["Document","BaseOutputParser","Record","Text"],"type":"str"},"sourceHandle":{"baseClasses":["Record"],"dataType":"URL","id":"URL-jdykB"}},"style":{"stroke":"#555"},"className":"stroke-foreground stroke-connection","id":"reactflow__edge-URL-jdykB{œbaseClassesœ:[œRecordœ],œdataTypeœ:œURLœ,œidœ:œURL-jdykBœ}-Prompt-3taIG{œfieldNameœ:œreference_1œ,œidœ:œPrompt-3taIGœ,œinputTypesœ:[œDocumentœ,œBaseOutputParserœ,œRecordœ,œTextœ],œtypeœ:œstrœ}"}],"viewport":{"x":-142.89038264176406,"y":-85.47379699387753,"zoom":0.6597539594750865}},"description":"","name":"Blog Writter","last_tested_version":"1.0.0a0","is_component":false} \ No newline at end of file +{ + "id": "6ad5559d-fb66-4fdc-8f98-96f4ac12799d", + "data": { + "nodes": [ + { + "id": "Prompt-Rse03", + "type": "genericNode", + "position": { + "x": 1331.381712783371, + "y": 535.0279854229713 + }, + "data": { + "type": "Prompt", + "node": { + "template": { + "code": { + "type": "code", + "required": true, + "placeholder": "", + "list": false, + "show": true, + "multiline": true, + "value": "from langchain_core.prompts import PromptTemplate\n\nfrom langflow.field_typing import Prompt, TemplateField, Text\nfrom langflow.interface.custom.custom_component import CustomComponent\n\n\nclass PromptComponent(CustomComponent):\n display_name: str = \"Prompt\"\n description: str = \"Create a prompt template with dynamic variables.\"\n icon = \"prompts\"\n\n def build_config(self):\n return {\n \"template\": TemplateField(display_name=\"Template\"),\n \"code\": TemplateField(advanced=True),\n }\n\n def build(\n self,\n template: Prompt,\n **kwargs,\n ) -> Text:\n from langflow.base.prompts.utils import dict_values_to_string\n\n prompt_template = PromptTemplate.from_template(Text(template))\n kwargs = dict_values_to_string(kwargs)\n kwargs = {k: \"\\n\".join(v) if isinstance(v, list) else v for k, v in kwargs.items()}\n try:\n formated_prompt = prompt_template.format(**kwargs)\n except Exception as exc:\n raise ValueError(f\"Error formatting prompt: {exc}\") from exc\n self.status = f'Prompt:\\n\"{formated_prompt}\"'\n return formated_prompt\n", + "fileTypes": [], + "file_path": "", + "password": false, + "name": "code", + "advanced": true, + "dynamic": true, + "info": "", + "load_from_db": false, + "title_case": false + }, + "template": { + "type": "prompt", + "required": false, + "placeholder": "", + "list": false, + "show": true, + "multiline": false, + "value": "Reference 1:\n\n{reference_1}\n\n---\n\nReference 2:\n\n{reference_2}\n\n---\n\n{instructions}\n\nBlog: \n\n\n", + "fileTypes": [], + "file_path": "", + "password": false, + "name": "template", + "display_name": "Template", + "advanced": false, + "input_types": ["Text"], + "dynamic": false, + "info": "", + "load_from_db": false, + "title_case": false + }, + "_type": "CustomComponent", + "reference_1": { + "field_type": "str", + "required": false, + "placeholder": "", + "list": false, + "show": true, + "multiline": true, + "value": "", + "fileTypes": [], + "file_path": "", + "password": false, + "name": "reference_1", + "display_name": "reference_1", + "advanced": false, + "input_types": [ + "Document", + "BaseOutputParser", + "Record", + "Text" + ], + "dynamic": false, + "info": "", + "load_from_db": false, + "title_case": false, + "type": "str" + }, + "reference_2": { + "field_type": "str", + "required": false, + "placeholder": "", + "list": false, + "show": true, + "multiline": true, + "value": "", + "fileTypes": [], + "file_path": "", + "password": false, + "name": "reference_2", + "display_name": "reference_2", + "advanced": false, + "input_types": [ + "Document", + "BaseOutputParser", + "Record", + "Text" + ], + "dynamic": false, + "info": "", + "load_from_db": false, + "title_case": false, + "type": "str" + }, + "instructions": { + "field_type": "str", + "required": false, + "placeholder": "", + "list": false, + "show": true, + "multiline": true, + "value": "", + "fileTypes": [], + "file_path": "", + "password": false, + "name": "instructions", + "display_name": "instructions", + "advanced": false, + "input_types": [ + "Document", + "BaseOutputParser", + "Record", + "Text" + ], + "dynamic": false, + "info": "", + "load_from_db": false, + "title_case": false, + "type": "str" + } + }, + "description": "Create a prompt template with dynamic variables.", + "icon": "prompts", + "is_input": null, + "is_output": null, + "is_composition": null, + "base_classes": ["object", "Text", "str"], + "name": "", + "display_name": "Prompt", + "documentation": "", + "custom_fields": { + "template": ["reference_1", "reference_2", "instructions"] + }, + "output_types": ["Text"], + "full_path": null, + "field_formatters": {}, + "frozen": false, + "field_order": [], + "beta": false, + "error": null + }, + "id": "Prompt-Rse03", + "description": "Create a prompt template with dynamic variables.", + "display_name": "Prompt" + }, + "selected": false, + "width": 384, + "height": 571, + "dragging": false, + "positionAbsolute": { + "x": 1331.381712783371, + "y": 535.0279854229713 + } + }, + { + "id": "URL-HYPkR", + "type": "genericNode", + "position": { + "x": 568.2971412887712, + "y": 700.9983368007821 + }, + "data": { + "type": "URL", + "node": { + "template": { + "code": { + "type": "code", + "required": true, + "placeholder": "", + "list": false, + "show": true, + "multiline": true, + "value": "from typing import Any, Dict\n\nfrom langchain_community.document_loaders.web_base import WebBaseLoader\n\nfrom langflow.interface.custom.custom_component import CustomComponent\nfrom langflow.schema import Record\n\n\nclass URLComponent(CustomComponent):\n display_name = \"URL\"\n description = \"Fetch content from one or more URLs.\"\n icon = \"layout-template\"\n\n def build_config(self) -> Dict[str, Any]:\n return {\n \"urls\": {\"display_name\": \"URL\"},\n }\n\n def build(\n self,\n urls: list[str],\n ) -> list[Record]:\n loader = WebBaseLoader(web_paths=urls)\n docs = loader.load()\n records = self.to_records(docs)\n self.status = records\n return records\n", + "fileTypes": [], + "file_path": "", + "password": false, + "name": "code", + "advanced": true, + "dynamic": true, + "info": "", + "load_from_db": false, + "title_case": false + }, + "urls": { + "type": "str", + "required": true, + "placeholder": "", + "list": true, + "show": true, + "multiline": false, + "fileTypes": [], + "file_path": "", + "password": false, + "name": "urls", + "display_name": "URL", + "advanced": false, + "dynamic": false, + "info": "", + "load_from_db": false, + "title_case": false, + "input_types": ["Text"], + "value": [ + "https://www.promptingguide.ai/techniques/prompt_chaining" + ] + }, + "_type": "CustomComponent" + }, + "description": "Fetch content from one or more URLs.", + "icon": "layout-template", + "base_classes": ["Record"], + "display_name": "URL", + "documentation": "", + "custom_fields": { + "urls": null + }, + "output_types": ["Record"], + "field_formatters": {}, + "frozen": false, + "field_order": [], + "beta": false + }, + "id": "URL-HYPkR" + }, + "selected": false, + "width": 384, + "height": 281, + "positionAbsolute": { + "x": 568.2971412887712, + "y": 700.9983368007821 + }, + "dragging": false + }, + { + "id": "ChatOutput-JPlxl", + "type": "genericNode", + "position": { + "x": 2503.8617424688505, + "y": 789.3005578928434 + }, + "data": { + "type": "ChatOutput", + "node": { + "template": { + "code": { + "type": "code", + "required": true, + "placeholder": "", + "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", + "fileTypes": [], + "file_path": "", + "password": false, + "name": "code", + "advanced": true, + "dynamic": true, + "info": "", + "load_from_db": false, + "title_case": false + }, + "input_value": { + "type": "str", + "required": false, + "placeholder": "", + "list": false, + "show": true, + "multiline": true, + "fileTypes": [], + "file_path": "", + "password": false, + "name": "input_value", + "display_name": "Message", + "advanced": false, + "input_types": ["Text"], + "dynamic": false, + "info": "", + "load_from_db": false, + "title_case": false + }, + "record_template": { + "type": "str", + "required": false, + "placeholder": "", + "list": false, + "show": true, + "multiline": true, + "value": "{text}", + "fileTypes": [], + "file_path": "", + "password": false, + "name": "record_template", + "display_name": "Record Template", + "advanced": true, + "dynamic": false, + "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"] + }, + "return_record": { + "type": "bool", + "required": false, + "placeholder": "", + "list": false, + "show": true, + "multiline": false, + "value": false, + "fileTypes": [], + "file_path": "", + "password": false, + "name": "return_record", + "display_name": "Return Record", + "advanced": true, + "dynamic": false, + "info": "Return the message as a record containing the sender, sender_name, and session_id.", + "load_from_db": false, + "title_case": false + }, + "sender": { + "type": "str", + "required": false, + "placeholder": "", + "list": true, + "show": true, + "multiline": false, + "value": "Machine", + "fileTypes": [], + "file_path": "", + "password": false, + "options": ["Machine", "User"], + "name": "sender", + "display_name": "Sender Type", + "advanced": true, + "dynamic": false, + "info": "", + "load_from_db": false, + "title_case": false, + "input_types": ["Text"] + }, + "sender_name": { + "type": "str", + "required": false, + "placeholder": "", + "list": false, + "show": true, + "multiline": false, + "value": "AI", + "fileTypes": [], + "file_path": "", + "password": false, + "name": "sender_name", + "display_name": "Sender Name", + "advanced": false, + "dynamic": false, + "info": "", + "load_from_db": false, + "title_case": false, + "input_types": ["Text"] + }, + "session_id": { + "type": "str", + "required": false, + "placeholder": "", + "list": false, + "show": true, + "multiline": false, + "fileTypes": [], + "file_path": "", + "password": false, + "name": "session_id", + "display_name": "Session ID", + "advanced": true, + "dynamic": false, + "info": "If provided, the message will be stored in the memory.", + "load_from_db": false, + "title_case": false, + "input_types": ["Text"] + }, + "_type": "CustomComponent" + }, + "description": "Display a chat message in the Interaction Panel.", + "icon": "ChatOutput", + "base_classes": ["Text", "Record", "object", "str"], + "display_name": "Chat Output", + "documentation": "", + "custom_fields": { + "sender": null, + "sender_name": null, + "input_value": null, + "session_id": null, + "return_record": null, + "record_template": null + }, + "output_types": ["Text", "Record"], + "field_formatters": {}, + "frozen": false, + "field_order": [], + "beta": false + }, + "id": "ChatOutput-JPlxl" + }, + "selected": false, + "width": 384, + "height": 383 + }, + { + "id": "OpenAIModel-gi29P", + "type": "genericNode", + "position": { + "x": 1917.7089968570963, + "y": 575.9186499244129 + }, + "data": { + "type": "OpenAIModel", + "node": { + "template": { + "input_value": { + "type": "str", + "required": true, + "placeholder": "", + "list": false, + "show": true, + "multiline": false, + "fileTypes": [], + "file_path": "", + "password": false, + "name": "input_value", + "display_name": "Input", + "advanced": false, + "dynamic": false, + "info": "", + "load_from_db": false, + "title_case": false, + "input_types": ["Text"] + }, + "code": { + "type": "code", + "required": true, + "placeholder": "", + "list": false, + "show": true, + "multiline": true, + "value": "from typing import Optional\n\nfrom langchain_openai import ChatOpenAI\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-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 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=openai_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, + "name": "code", + "advanced": true, + "dynamic": true, + "info": "", + "load_from_db": false, + "title_case": false + }, + "max_tokens": { + "type": "int", + "required": false, + "placeholder": "", + "list": false, + "show": true, + "multiline": false, + "value": "1024", + "fileTypes": [], + "file_path": "", + "password": false, + "name": "max_tokens", + "display_name": "Max Tokens", + "advanced": true, + "dynamic": false, + "info": "", + "load_from_db": false, + "title_case": false + }, + "model_kwargs": { + "type": "NestedDict", + "required": false, + "placeholder": "", + "list": false, + "show": true, + "multiline": false, + "value": {}, + "fileTypes": [], + "file_path": "", + "password": false, + "name": "model_kwargs", + "display_name": "Model Kwargs", + "advanced": true, + "dynamic": false, + "info": "", + "load_from_db": false, + "title_case": false + }, + "model_name": { + "type": "str", + "required": true, + "placeholder": "", + "list": true, + "show": true, + "multiline": false, + "value": "gpt-3.5-turbo-0125", + "fileTypes": [], + "file_path": "", + "password": false, + "options": [ + "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" + ], + "name": "model_name", + "display_name": "Model Name", + "advanced": false, + "dynamic": false, + "info": "", + "load_from_db": false, + "title_case": false, + "input_types": ["Text"] + }, + "openai_api_base": { + "type": "str", + "required": false, + "placeholder": "", + "list": false, + "show": true, + "multiline": false, + "fileTypes": [], + "file_path": "", + "password": false, + "name": "openai_api_base", + "display_name": "OpenAI API Base", + "advanced": true, + "dynamic": false, + "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"] + }, + "openai_api_key": { + "type": "str", + "required": true, + "placeholder": "", + "list": false, + "show": true, + "multiline": false, + "fileTypes": [], + "file_path": "", + "password": true, + "name": "openai_api_key", + "display_name": "OpenAI API Key", + "advanced": false, + "dynamic": false, + "info": "The OpenAI API Key to use for the OpenAI model.", + "load_from_db": false, + "title_case": false, + "input_types": ["Text"], + "value": "" + }, + "stream": { + "type": "bool", + "required": false, + "placeholder": "", + "list": false, + "show": true, + "multiline": false, + "value": true, + "fileTypes": [], + "file_path": "", + "password": false, + "name": "stream", + "display_name": "Stream", + "advanced": true, + "dynamic": false, + "info": "Stream the response from the model. Streaming works only in Chat.", + "load_from_db": false, + "title_case": false + }, + "system_message": { + "type": "str", + "required": false, + "placeholder": "", + "list": false, + "show": true, + "multiline": false, + "fileTypes": [], + "file_path": "", + "password": false, + "name": "system_message", + "display_name": "System Message", + "advanced": true, + "dynamic": false, + "info": "System message to pass to the model.", + "load_from_db": false, + "title_case": false, + "input_types": ["Text"] + }, + "temperature": { + "type": "float", + "required": true, + "placeholder": "", + "list": false, + "show": true, + "multiline": false, + "value": "0.1", + "fileTypes": [], + "file_path": "", + "password": false, + "name": "temperature", + "display_name": "Temperature", + "advanced": false, + "dynamic": false, + "info": "", + "rangeSpec": { + "step_type": "float", + "min": -1, + "max": 1, + "step": 0.1 + }, + "load_from_db": false, + "title_case": false + }, + "_type": "CustomComponent" + }, + "description": "Generates text using OpenAI LLMs.", + "icon": "OpenAI", + "base_classes": ["str", "Text", "object"], + "display_name": "OpenAI", + "documentation": "", + "custom_fields": { + "input_value": null, + "openai_api_key": null, + "temperature": null, + "model_name": null, + "max_tokens": null, + "model_kwargs": null, + "openai_api_base": null, + "stream": null, + "system_message": null + }, + "output_types": ["Text"], + "field_formatters": {}, + "frozen": false, + "field_order": [ + "max_tokens", + "model_kwargs", + "model_name", + "openai_api_base", + "openai_api_key", + "temperature", + "input_value", + "system_message", + "stream" + ], + "beta": false + }, + "id": "OpenAIModel-gi29P" + }, + "selected": false, + "width": 384, + "height": 563, + "positionAbsolute": { + "x": 1917.7089968570963, + "y": 575.9186499244129 + }, + "dragging": false + }, + { + "id": "URL-2cX90", + "type": "genericNode", + "position": { + "x": 573.961301764604, + "y": 336.41463436122086 + }, + "data": { + "type": "URL", + "node": { + "template": { + "code": { + "type": "code", + "required": true, + "placeholder": "", + "list": false, + "show": true, + "multiline": true, + "value": "from typing import Any, Dict\n\nfrom langchain_community.document_loaders.web_base import WebBaseLoader\n\nfrom langflow.interface.custom.custom_component import CustomComponent\nfrom langflow.schema import Record\n\n\nclass URLComponent(CustomComponent):\n display_name = \"URL\"\n description = \"Fetch content from one or more URLs.\"\n icon = \"layout-template\"\n\n def build_config(self) -> Dict[str, Any]:\n return {\n \"urls\": {\"display_name\": \"URL\"},\n }\n\n def build(\n self,\n urls: list[str],\n ) -> list[Record]:\n loader = WebBaseLoader(web_paths=urls)\n docs = loader.load()\n records = self.to_records(docs)\n self.status = records\n return records\n", + "fileTypes": [], + "file_path": "", + "password": false, + "name": "code", + "advanced": true, + "dynamic": true, + "info": "", + "load_from_db": false, + "title_case": false + }, + "urls": { + "type": "str", + "required": true, + "placeholder": "", + "list": true, + "show": true, + "multiline": false, + "fileTypes": [], + "file_path": "", + "password": false, + "name": "urls", + "display_name": "URL", + "advanced": false, + "dynamic": false, + "info": "", + "load_from_db": false, + "title_case": false, + "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"], + "display_name": "URL", + "documentation": "", + "custom_fields": { + "urls": null + }, + "output_types": ["Record"], + "field_formatters": {}, + "frozen": false, + "field_order": [], + "beta": false + }, + "id": "URL-2cX90" + }, + "selected": false, + "width": 384, + "height": 281, + "positionAbsolute": { + "x": 573.961301764604, + "y": 336.41463436122086 + }, + "dragging": false + }, + { + "id": "TextInput-og8Or", + "type": "genericNode", + "position": { + "x": 569.9387927203336, + "y": 1095.3352160671316 + }, + "data": { + "type": "TextInput", + "node": { + "template": { + "code": { + "type": "code", + "required": true, + "placeholder": "", + "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", + "fileTypes": [], + "file_path": "", + "password": false, + "name": "code", + "advanced": true, + "dynamic": true, + "info": "", + "load_from_db": false, + "title_case": false + }, + "input_value": { + "type": "str", + "required": false, + "placeholder": "", + "list": false, + "show": true, + "multiline": false, + "value": "Use the references above for style to write a new blog/tutorial about prompt engineering techniques. Suggest non-covered topics.", + "fileTypes": [], + "file_path": "", + "password": false, + "name": "input_value", + "display_name": "Value", + "advanced": false, + "input_types": ["Record", "Text"], + "dynamic": false, + "info": "Text or Record to be passed as input.", + "load_from_db": false, + "title_case": false + }, + "record_template": { + "type": "str", + "required": false, + "placeholder": "", + "list": false, + "show": true, + "multiline": true, + "value": "", + "fileTypes": [], + "file_path": "", + "password": false, + "name": "record_template", + "display_name": "Record Template", + "advanced": true, + "dynamic": false, + "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"] + }, + "_type": "CustomComponent" + }, + "description": "Get text inputs from the Interaction Panel.", + "icon": "type", + "base_classes": ["object", "Text", "str"], + "display_name": "Instructions", + "documentation": "", + "custom_fields": { + "input_value": null, + "record_template": null + }, + "output_types": ["Text"], + "field_formatters": {}, + "frozen": false, + "field_order": [], + "beta": false + }, + "id": "TextInput-og8Or" + }, + "selected": false, + "width": 384, + "height": 289, + "positionAbsolute": { + "x": 569.9387927203336, + "y": 1095.3352160671316 + }, + "dragging": false + } + ], + "edges": [ + { + "source": "URL-HYPkR", + "target": "Prompt-Rse03", + "sourceHandle": "{œbaseClassesœ:[œRecordœ],œdataTypeœ:œURLœ,œidœ:œURL-HYPkRœ}", + "targetHandle": "{œfieldNameœ:œreference_2œ,œidœ:œPrompt-Rse03œ,œinputTypesœ:[œDocumentœ,œBaseOutputParserœ,œRecordœ,œTextœ],œtypeœ:œstrœ}", + "id": "reactflow__edge-URL-HYPkR{œbaseClassesœ:[œRecordœ],œdataTypeœ:œURLœ,œidœ:œURL-HYPkRœ}-Prompt-Rse03{œfieldNameœ:œreference_2œ,œidœ:œPrompt-Rse03œ,œinputTypesœ:[œDocumentœ,œBaseOutputParserœ,œRecordœ,œTextœ],œtypeœ:œstrœ}", + "data": { + "targetHandle": { + "fieldName": "reference_2", + "id": "Prompt-Rse03", + "inputTypes": ["Document", "BaseOutputParser", "Record", "Text"], + "type": "str" + }, + "sourceHandle": { + "baseClasses": ["Record"], + "dataType": "URL", + "id": "URL-HYPkR" + } + }, + "style": { + "stroke": "#555" + }, + "className": "stroke-gray-900 stroke-connection", + "selected": false + }, + { + "source": "OpenAIModel-gi29P", + "sourceHandle": "{œbaseClassesœ:[œstrœ,œTextœ,œobjectœ],œdataTypeœ:œOpenAIModelœ,œidœ:œOpenAIModel-gi29Pœ}", + "target": "ChatOutput-JPlxl", + "targetHandle": "{œfieldNameœ:œinput_valueœ,œidœ:œChatOutput-JPlxlœ,œinputTypesœ:[œTextœ],œtypeœ:œstrœ}", + "data": { + "targetHandle": { + "fieldName": "input_value", + "id": "ChatOutput-JPlxl", + "inputTypes": ["Text"], + "type": "str" + }, + "sourceHandle": { + "baseClasses": ["str", "Text", "object"], + "dataType": "OpenAIModel", + "id": "OpenAIModel-gi29P" + } + }, + "style": { + "stroke": "#555" + }, + "className": "stroke-gray-900 stroke-connection", + "id": "reactflow__edge-OpenAIModel-gi29P{œbaseClassesœ:[œstrœ,œTextœ,œobjectœ],œdataTypeœ:œOpenAIModelœ,œidœ:œOpenAIModel-gi29Pœ}-ChatOutput-JPlxl{œfieldNameœ:œinput_valueœ,œidœ:œChatOutput-JPlxlœ,œinputTypesœ:[œTextœ],œtypeœ:œstrœ}" + }, + { + "source": "URL-2cX90", + "sourceHandle": "{œbaseClassesœ:[œRecordœ],œdataTypeœ:œURLœ,œidœ:œURL-2cX90œ}", + "target": "Prompt-Rse03", + "targetHandle": "{œfieldNameœ:œreference_1œ,œidœ:œPrompt-Rse03œ,œinputTypesœ:[œDocumentœ,œBaseOutputParserœ,œRecordœ,œTextœ],œtypeœ:œstrœ}", + "data": { + "targetHandle": { + "fieldName": "reference_1", + "id": "Prompt-Rse03", + "inputTypes": ["Document", "BaseOutputParser", "Record", "Text"], + "type": "str" + }, + "sourceHandle": { + "baseClasses": ["Record"], + "dataType": "URL", + "id": "URL-2cX90" + } + }, + "style": { + "stroke": "#555" + }, + "className": "stroke-gray-900 stroke-connection", + "id": "reactflow__edge-URL-2cX90{œbaseClassesœ:[œRecordœ],œdataTypeœ:œURLœ,œidœ:œURL-2cX90œ}-Prompt-Rse03{œfieldNameœ:œreference_1œ,œidœ:œPrompt-Rse03œ,œinputTypesœ:[œDocumentœ,œBaseOutputParserœ,œRecordœ,œTextœ],œtypeœ:œstrœ}" + }, + { + "source": "TextInput-og8Or", + "sourceHandle": "{œbaseClassesœ:[œobjectœ,œTextœ,œstrœ],œdataTypeœ:œTextInputœ,œidœ:œTextInput-og8Orœ}", + "target": "Prompt-Rse03", + "targetHandle": "{œfieldNameœ:œinstructionsœ,œidœ:œPrompt-Rse03œ,œinputTypesœ:[œDocumentœ,œBaseOutputParserœ,œRecordœ,œTextœ],œtypeœ:œstrœ}", + "data": { + "targetHandle": { + "fieldName": "instructions", + "id": "Prompt-Rse03", + "inputTypes": ["Document", "BaseOutputParser", "Record", "Text"], + "type": "str" + }, + "sourceHandle": { + "baseClasses": ["object", "Text", "str"], + "dataType": "TextInput", + "id": "TextInput-og8Or" + } + }, + "style": { + "stroke": "#555" + }, + "className": "stroke-gray-900 stroke-connection", + "id": "reactflow__edge-TextInput-og8Or{œbaseClassesœ:[œobjectœ,œTextœ,œstrœ],œdataTypeœ:œTextInputœ,œidœ:œTextInput-og8Orœ}-Prompt-Rse03{œfieldNameœ:œinstructionsœ,œidœ:œPrompt-Rse03œ,œinputTypesœ:[œDocumentœ,œBaseOutputParserœ,œRecordœ,œTextœ],œtypeœ:œstrœ}" + }, + { + "source": "Prompt-Rse03", + "sourceHandle": "{œbaseClassesœ:[œobjectœ,œTextœ,œstrœ],œdataTypeœ:œPromptœ,œidœ:œPrompt-Rse03œ}", + "target": "OpenAIModel-gi29P", + "targetHandle": "{œfieldNameœ:œinput_valueœ,œidœ:œOpenAIModel-gi29Pœ,œinputTypesœ:[œTextœ],œtypeœ:œstrœ}", + "data": { + "targetHandle": { + "fieldName": "input_value", + "id": "OpenAIModel-gi29P", + "inputTypes": ["Text"], + "type": "str" + }, + "sourceHandle": { + "baseClasses": ["object", "Text", "str"], + "dataType": "Prompt", + "id": "Prompt-Rse03" + } + }, + "style": { + "stroke": "#555" + }, + "className": "stroke-gray-900 stroke-connection", + "id": "reactflow__edge-Prompt-Rse03{œbaseClassesœ:[œobjectœ,œTextœ,œstrœ],œdataTypeœ:œPromptœ,œidœ:œPrompt-Rse03œ}-OpenAIModel-gi29P{œfieldNameœ:œinput_valueœ,œidœ:œOpenAIModel-gi29Pœ,œinputTypesœ:[œTextœ],œtypeœ:œstrœ}", + "selected": false + } + ], + "viewport": { + "x": -214.14726025721177, + "y": -35.83855793844168, + "zoom": 0.47344308394045925 + } + }, + "description": "", + "name": "Blog Writer", + "last_tested_version": "1.0.0a0", + "is_component": false +} 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 b69f269e4..b8449f430 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 @@ -3,7 +3,7 @@ "data": { "nodes": [ { - "id": "Prompt-vKlPy", + "id": "Prompt-tHwPf", "type": "genericNode", "position": { "x": 585.7906101139403, @@ -136,13 +136,13 @@ "beta": false, "error": null }, - "id": "Prompt-vKlPy", + "id": "Prompt-tHwPf", "description": "A component for creating prompt templates using dynamic variables.", "display_name": "Prompt" }, "selected": false, "width": 384, - "height": 497, + "height": 479, "positionAbsolute": { "x": 585.7906101139403, "y": 117.52115876762832 @@ -150,7 +150,7 @@ "dragging": false }, { - "id": "File-Osj3J", + "id": "File-6TEsD", "type": "genericNode", "position": { "x": -18.636536329280602, @@ -248,11 +248,11 @@ "field_order": [], "beta": false }, - "id": "File-Osj3J" + "id": "File-6TEsD" }, "selected": false, "width": 384, - "height": 281, + "height": 282, "positionAbsolute": { "x": -18.636536329280602, "y": 3.951948774836353 @@ -260,11 +260,11 @@ "dragging": false }, { - "id": "ChatInput-ieEI1", + "id": "ChatInput-MsSJ9", "type": "genericNode", "position": { - "x": -8.703779326750464, - "y": 394.2188023139405 + "x": -28.80036300619821, + "y": 379.81180230285355 }, "data": { "type": "ChatInput", @@ -360,7 +360,7 @@ "list": false, "show": true, "multiline": false, - "value": "", + "value": "User", "fileTypes": [], "file_path": "", "password": false, @@ -369,7 +369,7 @@ "advanced": false, "dynamic": false, "info": "", - "load_from_db": true, + "load_from_db": false, "title_case": false, "input_types": [ "Text" @@ -424,19 +424,19 @@ "field_order": [], "beta": false }, - "id": "ChatInput-ieEI1" + "id": "ChatInput-MsSJ9" }, - "selected": false, + "selected": true, "width": 384, - "height": 399, + "height": 377, "positionAbsolute": { - "x": -8.703779326750464, - "y": 394.2188023139405 + "x": -28.80036300619821, + "y": 379.81180230285355 }, "dragging": false }, { - "id": "ChatOutput-bkOKY", + "id": "ChatOutput-F5Awj", "type": "genericNode", "position": { "x": 1733.3012915204283, @@ -601,11 +601,11 @@ "field_order": [], "beta": false }, - "id": "ChatOutput-bkOKY" + "id": "ChatOutput-F5Awj" }, "selected": false, "width": 384, - "height": 399, + "height": 385, "positionAbsolute": { "x": 1733.3012915204283, "y": 168.76098809939327 @@ -613,7 +613,7 @@ "dragging": false }, { - "id": "OpenAIModel-m8NS1", + "id": "OpenAIModel-Bt067", "type": "genericNode", "position": { "x": 1137.6078582863759, @@ -879,11 +879,11 @@ ], "beta": false }, - "id": "OpenAIModel-m8NS1" + "id": "OpenAIModel-Bt067" }, - "selected": true, + "selected": false, "width": 384, - "height": 639, + "height": 642, "positionAbsolute": { "x": 1137.6078582863759, "y": -14.41920034020356 @@ -893,14 +893,14 @@ ], "edges": [ { - "source": "ChatInput-ieEI1", - "sourceHandle": "{œbaseClassesœ:[œstrœ,œRecordœ,œTextœ,œobjectœ],œdataTypeœ:œChatInputœ,œidœ:œChatInput-ieEI1œ}", - "target": "Prompt-vKlPy", - "targetHandle": "{œfieldNameœ:œQuestionœ,œidœ:œPrompt-vKlPyœ,œinputTypesœ:[œDocumentœ,œBaseOutputParserœ,œRecordœ,œTextœ],œtypeœ:œstrœ}", + "source": "ChatInput-MsSJ9", + "sourceHandle": "{œbaseClassesœ:[œstrœ,œRecordœ,œTextœ,œobjectœ],œdataTypeœ:œChatInputœ,œidœ:œChatInput-MsSJ9œ}", + "target": "Prompt-tHwPf", + "targetHandle": "{œfieldNameœ:œQuestionœ,œidœ:œPrompt-tHwPfœ,œinputTypesœ:[œDocumentœ,œBaseOutputParserœ,œRecordœ,œTextœ],œtypeœ:œstrœ}", "data": { "targetHandle": { "fieldName": "Question", - "id": "Prompt-vKlPy", + "id": "Prompt-tHwPf", "inputTypes": [ "Document", "BaseOutputParser", @@ -917,24 +917,24 @@ "object" ], "dataType": "ChatInput", - "id": "ChatInput-ieEI1" + "id": "ChatInput-MsSJ9" } }, "style": { "stroke": "#555" }, - "className": "stroke-foreground stroke-connection", - "id": "reactflow__edge-ChatInput-ieEI1{œbaseClassesœ:[œstrœ,œRecordœ,œTextœ,œobjectœ],œdataTypeœ:œChatInputœ,œidœ:œChatInput-ieEI1œ}-Prompt-vKlPy{œfieldNameœ:œQuestionœ,œidœ:œPrompt-vKlPyœ,œinputTypesœ:[œDocumentœ,œBaseOutputParserœ,œRecordœ,œTextœ],œtypeœ:œstrœ}" + "className": "stroke-gray-900 stroke-connection", + "id": "reactflow__edge-ChatInput-MsSJ9{œbaseClassesœ:[œstrœ,œRecordœ,œTextœ,œobjectœ],œdataTypeœ:œChatInputœ,œidœ:œChatInput-MsSJ9œ}-Prompt-tHwPf{œfieldNameœ:œQuestionœ,œidœ:œPrompt-tHwPfœ,œinputTypesœ:[œDocumentœ,œBaseOutputParserœ,œRecordœ,œTextœ],œtypeœ:œstrœ}" }, { - "source": "File-Osj3J", - "sourceHandle": "{œbaseClassesœ:[œRecordœ],œdataTypeœ:œFileœ,œidœ:œFile-Osj3Jœ}", - "target": "Prompt-vKlPy", - "targetHandle": "{œfieldNameœ:œDocumentœ,œidœ:œPrompt-vKlPyœ,œinputTypesœ:[œDocumentœ,œBaseOutputParserœ,œRecordœ,œTextœ],œtypeœ:œstrœ}", + "source": "File-6TEsD", + "sourceHandle": "{œbaseClassesœ:[œRecordœ],œdataTypeœ:œFileœ,œidœ:œFile-6TEsDœ}", + "target": "Prompt-tHwPf", + "targetHandle": "{œfieldNameœ:œDocumentœ,œidœ:œPrompt-tHwPfœ,œinputTypesœ:[œDocumentœ,œBaseOutputParserœ,œRecordœ,œTextœ],œtypeœ:œstrœ}", "data": { "targetHandle": { "fieldName": "Document", - "id": "Prompt-vKlPy", + "id": "Prompt-tHwPf", "inputTypes": [ "Document", "BaseOutputParser", @@ -948,24 +948,24 @@ "Record" ], "dataType": "File", - "id": "File-Osj3J" + "id": "File-6TEsD" } }, "style": { "stroke": "#555" }, - "className": "stroke-foreground stroke-connection", - "id": "reactflow__edge-File-Osj3J{œbaseClassesœ:[œRecordœ],œdataTypeœ:œFileœ,œidœ:œFile-Osj3Jœ}-Prompt-vKlPy{œfieldNameœ:œDocumentœ,œidœ:œPrompt-vKlPyœ,œinputTypesœ:[œDocumentœ,œBaseOutputParserœ,œRecordœ,œTextœ],œtypeœ:œstrœ}" + "className": "stroke-gray-900 stroke-connection", + "id": "reactflow__edge-File-6TEsD{œbaseClassesœ:[œRecordœ],œdataTypeœ:œFileœ,œidœ:œFile-6TEsDœ}-Prompt-tHwPf{œfieldNameœ:œDocumentœ,œidœ:œPrompt-tHwPfœ,œinputTypesœ:[œDocumentœ,œBaseOutputParserœ,œRecordœ,œTextœ],œtypeœ:œstrœ}" }, { - "source": "Prompt-vKlPy", - "sourceHandle": "{œbaseClassesœ:[œobjectœ,œstrœ,œTextœ],œdataTypeœ:œPromptœ,œidœ:œPrompt-vKlPyœ}", - "target": "OpenAIModel-m8NS1", - "targetHandle": "{œfieldNameœ:œinput_valueœ,œidœ:œOpenAIModel-m8NS1œ,œinputTypesœ:[œTextœ],œtypeœ:œstrœ}", + "source": "Prompt-tHwPf", + "sourceHandle": "{œbaseClassesœ:[œobjectœ,œstrœ,œTextœ],œdataTypeœ:œPromptœ,œidœ:œPrompt-tHwPfœ}", + "target": "OpenAIModel-Bt067", + "targetHandle": "{œfieldNameœ:œinput_valueœ,œidœ:œOpenAIModel-Bt067œ,œinputTypesœ:[œTextœ],œtypeœ:œstrœ}", "data": { "targetHandle": { "fieldName": "input_value", - "id": "OpenAIModel-m8NS1", + "id": "OpenAIModel-Bt067", "inputTypes": [ "Text" ], @@ -978,24 +978,24 @@ "Text" ], "dataType": "Prompt", - "id": "Prompt-vKlPy" + "id": "Prompt-tHwPf" } }, "style": { "stroke": "#555" }, - "className": "stroke-foreground stroke-connection", - "id": "reactflow__edge-Prompt-vKlPy{œbaseClassesœ:[œobjectœ,œstrœ,œTextœ],œdataTypeœ:œPromptœ,œidœ:œPrompt-vKlPyœ}-OpenAIModel-m8NS1{œfieldNameœ:œinput_valueœ,œidœ:œOpenAIModel-m8NS1œ,œinputTypesœ:[œTextœ],œtypeœ:œstrœ}" + "className": "stroke-gray-900 stroke-connection", + "id": "reactflow__edge-Prompt-tHwPf{œbaseClassesœ:[œobjectœ,œstrœ,œTextœ],œdataTypeœ:œPromptœ,œidœ:œPrompt-tHwPfœ}-OpenAIModel-Bt067{œfieldNameœ:œinput_valueœ,œidœ:œOpenAIModel-Bt067œ,œinputTypesœ:[œTextœ],œtypeœ:œstrœ}" }, { - "source": "OpenAIModel-m8NS1", - "sourceHandle": "{œbaseClassesœ:[œobjectœ,œstrœ,œTextœ],œdataTypeœ:œOpenAIModelœ,œidœ:œOpenAIModel-m8NS1œ}", - "target": "ChatOutput-bkOKY", - "targetHandle": "{œfieldNameœ:œinput_valueœ,œidœ:œChatOutput-bkOKYœ,œinputTypesœ:[œTextœ],œtypeœ:œstrœ}", + "source": "OpenAIModel-Bt067", + "sourceHandle": "{œbaseClassesœ:[œobjectœ,œstrœ,œTextœ],œdataTypeœ:œOpenAIModelœ,œidœ:œOpenAIModel-Bt067œ}", + "target": "ChatOutput-F5Awj", + "targetHandle": "{œfieldNameœ:œinput_valueœ,œidœ:œChatOutput-F5Awjœ,œinputTypesœ:[œTextœ],œtypeœ:œstrœ}", "data": { "targetHandle": { "fieldName": "input_value", - "id": "ChatOutput-bkOKY", + "id": "ChatOutput-F5Awj", "inputTypes": [ "Text" ], @@ -1008,24 +1008,24 @@ "Text" ], "dataType": "OpenAIModel", - "id": "OpenAIModel-m8NS1" + "id": "OpenAIModel-Bt067" } }, "style": { "stroke": "#555" }, - "className": "stroke-foreground stroke-connection", - "id": "reactflow__edge-OpenAIModel-m8NS1{œbaseClassesœ:[œobjectœ,œstrœ,œTextœ],œdataTypeœ:œOpenAIModelœ,œidœ:œOpenAIModel-m8NS1œ}-ChatOutput-bkOKY{œfieldNameœ:œinput_valueœ,œidœ:œChatOutput-bkOKYœ,œinputTypesœ:[œTextœ],œtypeœ:œstrœ}" + "className": "stroke-gray-900 stroke-connection", + "id": "reactflow__edge-OpenAIModel-Bt067{œbaseClassesœ:[œobjectœ,œstrœ,œTextœ],œdataTypeœ:œOpenAIModelœ,œidœ:œOpenAIModel-Bt067œ}-ChatOutput-F5Awj{œfieldNameœ:œinput_valueœ,œidœ:œChatOutput-F5Awjœ,œinputTypesœ:[œTextœ],œtypeœ:œstrœ}" } ], "viewport": { - "x": 117.87786652015296, - "y": 230.56802566793652, - "zoom": 0.39276592817416156 + "x": 352.20899206064655, + "y": 56.054900898593075, + "zoom": 0.9023391400011 } }, "description": "This flow integrates PDF reading with a language model to answer document-specific questions. Ideal for small-scale texts, it facilitates direct queries with immediate insights.", - "name": "Document QA ", + "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 f82f2c668..4636de5dc 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 @@ -5,7 +5,7 @@ "data": { "nodes": [ { - "id": "ChatInput-kOK82", + "id": "ChatInput-r2WbA", "type": "genericNode", "position": { "x": 1283.2700598313072, @@ -51,7 +51,7 @@ "info": "", "load_from_db": false, "title_case": false, - "value": "Hello. I'm testing Langflow." + "value": "what i said in the past?" }, "return_record": { "type": "bool", @@ -170,11 +170,11 @@ "field_order": [], "beta": false }, - "id": "ChatInput-kOK82" + "id": "ChatInput-r2WbA" }, "selected": false, "width": 384, - "height": 477, + "height": 471, "positionAbsolute": { "x": 1283.2700598313072, "y": 982.5953650473145 @@ -182,7 +182,7 @@ "dragging": false }, { - "id": "ChatOutput-ImuK8", + "id": "ChatOutput-65FlE", "type": "genericNode", "position": { "x": 3154.916355514023, @@ -348,11 +348,11 @@ "field_order": [], "beta": false }, - "id": "ChatOutput-ImuK8" + "id": "ChatOutput-65FlE" }, "selected": false, "width": 384, - "height": 477, + "height": 479, "dragging": false, "positionAbsolute": { "x": 3154.916355514023, @@ -360,11 +360,11 @@ } }, { - "id": "MemoryComponent-tbqb9", + "id": "MemoryComponent-CsMk7", "type": "genericNode", "position": { - "x": 1295.1067823347944, - "y": 539.7445491027617 + "x": 1289.9606870058817, + "y": 442.16804561053766 }, "data": { "type": "MemoryComponent", @@ -377,7 +377,7 @@ "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 \"advanced\": True,\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, records=messages)\n self.status = messages_str\n return messages_str\n", + "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, records=messages)\n self.status = messages_str\n return messages_str\n", "fileTypes": [], "file_path": "", "password": false, @@ -401,7 +401,7 @@ "password": false, "name": "n_messages", "display_name": "Number of Messages", - "advanced": true, + "advanced": false, "dynamic": false, "info": "Number of messages to retrieve.", "load_from_db": false, @@ -552,21 +552,21 @@ "field_order": [], "beta": true }, - "id": "MemoryComponent-tbqb9", + "id": "MemoryComponent-CsMk7", "description": "Retrieves stored chat messages given a specific Session ID.", "display_name": "Chat Memory" }, "selected": false, "width": 384, - "height": 403, + "height": 491, "dragging": false, "positionAbsolute": { - "x": 1295.1067823347944, - "y": 539.7445491027617 + "x": 1289.9606870058817, + "y": 442.16804561053766 } }, { - "id": "Prompt-54XGX", + "id": "Prompt-p9ug4", "type": "genericNode", "position": { "x": 1894.594426342426, @@ -699,13 +699,13 @@ "beta": false, "error": null }, - "id": "Prompt-54XGX", + "id": "Prompt-p9ug4", "description": "A component for creating prompt templates using dynamic variables.", "display_name": "Prompt" }, "selected": false, "width": 384, - "height": 497, + "height": 479, "dragging": false, "positionAbsolute": { "x": 1894.594426342426, @@ -713,11 +713,11 @@ } }, { - "id": "OpenAIModel-NQQmp", + "id": "OpenAIModel-OwSm5", "type": "genericNode", "position": { - "x": 2534.6473994159896, - "y": 394.72169335336775 + "x": 2561.5850334731617, + "y": 553.2745131130916 }, "data": { "type": "OpenAIModel", @@ -775,7 +775,7 @@ "password": false, "name": "max_tokens", "display_name": "Max Tokens", - "advanced": false, + "advanced": true, "dynamic": false, "info": "", "load_from_db": false, @@ -813,6 +813,7 @@ "password": false, "options": [ "gpt-4-turbo-preview", + "gpt-3.5-turbo", "gpt-4-0125-preview", "gpt-4-1106-preview", "gpt-4-vision-preview", @@ -842,7 +843,7 @@ "password": false, "name": "openai_api_base", "display_name": "OpenAI API Base", - "advanced": false, + "advanced": true, "dynamic": false, "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, @@ -886,7 +887,7 @@ "password": false, "name": "stream", "display_name": "Stream", - "advanced": false, + "advanced": true, "dynamic": false, "info": "Stream the response from the model. Streaming works only in Chat.", "load_from_db": false, @@ -904,7 +905,7 @@ "password": false, "name": "system_message", "display_name": "System Message", - "advanced": false, + "advanced": true, "dynamic": false, "info": "System message to pass to the model.", "load_from_db": false, @@ -930,6 +931,7 @@ "dynamic": false, "info": "", "rangeSpec": { + "step_type": "float", "min": -1, "max": 1, "step": 0.1 @@ -943,19 +945,19 @@ "icon": "OpenAI", "base_classes": [ "str", - "Text", - "object" + "object", + "Text" ], "display_name": "OpenAI", "documentation": "", "custom_fields": { "input_value": null, - "max_tokens": null, - "model_kwargs": null, - "model_name": null, - "openai_api_base": null, "openai_api_key": null, "temperature": null, + "model_name": null, + "max_tokens": null, + "model_kwargs": null, + "openai_api_base": null, "stream": null, "system_message": null }, @@ -977,60 +979,29 @@ ], "beta": false }, - "id": "OpenAIModel-NQQmp" + "id": "OpenAIModel-OwSm5" }, "selected": false, "width": 384, - "height": 913, + "height": 565, "positionAbsolute": { - "x": 2534.6473994159896, - "y": 394.72169335336775 + "x": 2561.5850334731617, + "y": 553.2745131130916 }, "dragging": false } ], "edges": [ { - "source": "Prompt-54XGX", - "sourceHandle": "{œbaseClassesœ:[œTextœ,œstrœ,œobjectœ],œdataTypeœ:œPromptœ,œidœ:œPrompt-54XGXœ}", - "target": "OpenAIModel-NQQmp", - "targetHandle": "{œfieldNameœ:œinput_valueœ,œidœ:œOpenAIModel-NQQmpœ,œinputTypesœ:[œTextœ],œtypeœ:œstrœ}", - "data": { - "targetHandle": { - "fieldName": "input_value", - "id": "OpenAIModel-NQQmp", - "inputTypes": [ - "Text" - ], - "type": "str" - }, - "sourceHandle": { - "baseClasses": [ - "Text", - "str", - "object" - ], - "dataType": "Prompt", - "id": "Prompt-54XGX" - } - }, - "style": { - "stroke": "#555" - }, - "className": "stroke-gray-900 stroke-connection", - "id": "reactflow__edge-Prompt-54XGX{œbaseClassesœ:[œTextœ,œstrœ,œobjectœ],œdataTypeœ:œPromptœ,œidœ:œPrompt-54XGXœ}-OpenAIModel-NQQmp{œfieldNameœ:œinput_valueœ,œidœ:œOpenAIModel-NQQmpœ,œinputTypesœ:[œTextœ],œtypeœ:œstrœ}", - "selected": false - }, - { - "source": "MemoryComponent-tbqb9", - "sourceHandle": "{œbaseClassesœ:[œstrœ,œTextœ,œobjectœ],œdataTypeœ:œMemoryComponentœ,œidœ:œMemoryComponent-tbqb9œ}", - "target": "Prompt-54XGX", - "targetHandle": "{œfieldNameœ:œcontextœ,œidœ:œPrompt-54XGXœ,œinputTypesœ:[œDocumentœ,œBaseOutputParserœ,œRecordœ,œTextœ],œtypeœ:œstrœ}", + "source": "MemoryComponent-CsMk7", + "sourceHandle": "{œbaseClassesœ:[œstrœ,œTextœ,œobjectœ],œdataTypeœ:œMemoryComponentœ,œidœ:œMemoryComponent-CsMk7œ}", + "target": "Prompt-p9ug4", + "targetHandle": "{œfieldNameœ:œcontextœ,œidœ:œPrompt-p9ug4œ,œinputTypesœ:[œDocumentœ,œBaseOutputParserœ,œRecordœ,œTextœ],œtypeœ:œstrœ}", "data": { "targetHandle": { "fieldName": "context", "type": "str", - "id": "Prompt-54XGX", + "id": "Prompt-p9ug4", "inputTypes": [ "Document", "BaseOutputParser", @@ -1045,26 +1016,26 @@ "object" ], "dataType": "MemoryComponent", - "id": "MemoryComponent-tbqb9" + "id": "MemoryComponent-CsMk7" } }, "style": { "stroke": "#555" }, "className": "stroke-gray-900 stroke-connection", - "id": "reactflow__edge-MemoryComponent-tbqb9{œbaseClassesœ:[œstrœ,œTextœ,œobjectœ],œdataTypeœ:œMemoryComponentœ,œidœ:œMemoryComponent-tbqb9œ}-Prompt-54XGX{œfieldNameœ:œcontextœ,œidœ:œPrompt-54XGXœ,œinputTypesœ:[œDocumentœ,œBaseOutputParserœ,œRecordœ,œTextœ],œtypeœ:œstrœ}", + "id": "reactflow__edge-MemoryComponent-CsMk7{œbaseClassesœ:[œstrœ,œTextœ,œobjectœ],œdataTypeœ:œMemoryComponentœ,œidœ:œMemoryComponent-CsMk7œ}-Prompt-p9ug4{œfieldNameœ:œcontextœ,œidœ:œPrompt-p9ug4œ,œinputTypesœ:[œDocumentœ,œBaseOutputParserœ,œRecordœ,œTextœ],œtypeœ:œstrœ}", "selected": false }, { - "source": "ChatInput-kOK82", - "sourceHandle": "{œbaseClassesœ:[œTextœ,œobjectœ,œRecordœ,œstrœ],œdataTypeœ:œChatInputœ,œidœ:œChatInput-kOK82œ}", - "target": "Prompt-54XGX", - "targetHandle": "{œfieldNameœ:œuser_messageœ,œidœ:œPrompt-54XGXœ,œinputTypesœ:[œDocumentœ,œBaseOutputParserœ,œRecordœ,œTextœ],œtypeœ:œstrœ}", + "source": "ChatInput-r2WbA", + "sourceHandle": "{œbaseClassesœ:[œTextœ,œobjectœ,œRecordœ,œstrœ],œdataTypeœ:œChatInputœ,œidœ:œChatInput-r2WbAœ}", + "target": "Prompt-p9ug4", + "targetHandle": "{œfieldNameœ:œuser_messageœ,œidœ:œPrompt-p9ug4œ,œinputTypesœ:[œDocumentœ,œBaseOutputParserœ,œRecordœ,œTextœ],œtypeœ:œstrœ}", "data": { "targetHandle": { "fieldName": "user_message", "type": "str", - "id": "Prompt-54XGX", + "id": "Prompt-p9ug4", "inputTypes": [ "Document", "BaseOutputParser", @@ -1080,25 +1051,55 @@ "str" ], "dataType": "ChatInput", - "id": "ChatInput-kOK82" + "id": "ChatInput-r2WbA" } }, "style": { "stroke": "#555" }, "className": "stroke-gray-900 stroke-connection", - "id": "reactflow__edge-ChatInput-kOK82{œbaseClassesœ:[œTextœ,œobjectœ,œRecordœ,œstrœ],œdataTypeœ:œChatInputœ,œidœ:œChatInput-kOK82œ}-Prompt-54XGX{œfieldNameœ:œuser_messageœ,œidœ:œPrompt-54XGXœ,œinputTypesœ:[œDocumentœ,œBaseOutputParserœ,œRecordœ,œTextœ],œtypeœ:œstrœ}", + "id": "reactflow__edge-ChatInput-r2WbA{œbaseClassesœ:[œTextœ,œobjectœ,œRecordœ,œstrœ],œdataTypeœ:œChatInputœ,œidœ:œChatInput-r2WbAœ}-Prompt-p9ug4{œfieldNameœ:œuser_messageœ,œidœ:œPrompt-p9ug4œ,œinputTypesœ:[œDocumentœ,œBaseOutputParserœ,œRecordœ,œTextœ],œtypeœ:œstrœ}", "selected": false }, { - "source": "OpenAIModel-NQQmp", - "sourceHandle": "{œbaseClassesœ:[œstrœ,œTextœ,œobjectœ],œdataTypeœ:œOpenAIModelœ,œidœ:œOpenAIModel-NQQmpœ}", - "target": "ChatOutput-ImuK8", - "targetHandle": "{œfieldNameœ:œinput_valueœ,œidœ:œChatOutput-ImuK8œ,œinputTypesœ:[œTextœ],œtypeœ:œstrœ}", + "source": "Prompt-p9ug4", + "sourceHandle": "{œbaseClassesœ:[œTextœ,œstrœ,œobjectœ],œdataTypeœ:œPromptœ,œidœ:œPrompt-p9ug4œ}", + "target": "OpenAIModel-OwSm5", + "targetHandle": "{œfieldNameœ:œinput_valueœ,œidœ:œOpenAIModel-OwSm5œ,œinputTypesœ:[œTextœ],œtypeœ:œstrœ}", "data": { "targetHandle": { "fieldName": "input_value", - "id": "ChatOutput-ImuK8", + "id": "OpenAIModel-OwSm5", + "inputTypes": [ + "Text" + ], + "type": "str" + }, + "sourceHandle": { + "baseClasses": [ + "Text", + "str", + "object" + ], + "dataType": "Prompt", + "id": "Prompt-p9ug4" + } + }, + "style": { + "stroke": "#555" + }, + "className": "stroke-foreground stroke-connection", + "id": "reactflow__edge-Prompt-p9ug4{œbaseClassesœ:[œTextœ,œstrœ,œobjectœ],œdataTypeœ:œPromptœ,œidœ:œPrompt-p9ug4œ}-OpenAIModel-OwSm5{œfieldNameœ:œinput_valueœ,œidœ:œOpenAIModel-OwSm5œ,œinputTypesœ:[œTextœ],œtypeœ:œstrœ}" + }, + { + "source": "OpenAIModel-OwSm5", + "sourceHandle": "{œbaseClassesœ:[œstrœ,œobjectœ,œTextœ],œdataTypeœ:œOpenAIModelœ,œidœ:œOpenAIModel-OwSm5œ}", + "target": "ChatOutput-65FlE", + "targetHandle": "{œfieldNameœ:œinput_valueœ,œidœ:œChatOutput-65FlEœ,œinputTypesœ:[œTextœ],œtypeœ:œstrœ}", + "data": { + "targetHandle": { + "fieldName": "input_value", + "id": "ChatOutput-65FlE", "inputTypes": [ "Text" ], @@ -1107,29 +1108,28 @@ "sourceHandle": { "baseClasses": [ "str", - "Text", - "object" + "object", + "Text" ], "dataType": "OpenAIModel", - "id": "OpenAIModel-NQQmp" + "id": "OpenAIModel-OwSm5" } }, "style": { "stroke": "#555" }, - "className": "stroke-gray-900 stroke-connection", - "id": "reactflow__edge-OpenAIModel-NQQmp{œbaseClassesœ:[œstrœ,œTextœ,œobjectœ],œdataTypeœ:œOpenAIModelœ,œidœ:œOpenAIModel-NQQmpœ}-ChatOutput-ImuK8{œfieldNameœ:œinput_valueœ,œidœ:œChatOutput-ImuK8œ,œinputTypesœ:[œTextœ],œtypeœ:œstrœ}", - "selected": false + "className": "stroke-foreground stroke-connection", + "id": "reactflow__edge-OpenAIModel-OwSm5{œbaseClassesœ:[œstrœ,œobjectœ,œTextœ],œdataTypeœ:œOpenAIModelœ,œidœ:œOpenAIModel-OwSm5œ}-ChatOutput-65FlE{œfieldNameœ:œinput_valueœ,œidœ:œChatOutput-65FlEœ,œinputTypesœ:[œTextœ],œtypeœ:œstrœ}" } ], "viewport": { - "x": -754.6488411466921, - "y": -151.93405346066697, - "zoom": 0.5097988414990936 + "x": -391.0433294674358, + "y": -105.08951818254411, + "zoom": 0.5948708289887507 } }, "description": "This project can be used as a starting point for building a Chat experience with user specific memory. You can set a different Session ID to start a new message history.", - "name": "Chatbot with Memory", + "name": "Memory Chatbot", "last_tested_version": "1.0.0a0", "is_component": false } \ No newline at end of file diff --git a/src/backend/base/poetry.lock b/src/backend/base/poetry.lock index 571953808..89c3ffc61 100644 --- a/src/backend/base/poetry.lock +++ b/src/backend/base/poetry.lock @@ -440,26 +440,27 @@ files = [ [[package]] name = "build" -version = "1.1.1" +version = "1.2.1" description = "A simple, correct Python build frontend" optional = false -python-versions = ">= 3.7" +python-versions = ">=3.8" files = [ - {file = "build-1.1.1-py3-none-any.whl", hash = "sha256:8ed0851ee76e6e38adce47e4bee3b51c771d86c64cf578d0c2245567ee200e73"}, - {file = "build-1.1.1.tar.gz", hash = "sha256:8eea65bb45b1aac2e734ba2cc8dad3a6d97d97901a395bd0ed3e7b46953d2a31"}, + {file = "build-1.2.1-py3-none-any.whl", hash = "sha256:75e10f767a433d9a86e50d83f418e83efc18ede923ee5ff7df93b6cb0306c5d4"}, + {file = "build-1.2.1.tar.gz", hash = "sha256:526263f4870c26f26c433545579475377b2b7588b6f1eac76a001e873ae3e19d"}, ] [package.dependencies] colorama = {version = "*", markers = "os_name == \"nt\""} importlib-metadata = {version = ">=4.6", markers = "python_full_version < \"3.10.2\""} -packaging = ">=19.0" +packaging = ">=19.1" pyproject_hooks = "*" tomli = {version = ">=1.1.0", markers = "python_version < \"3.11\""} [package.extras] docs = ["furo (>=2023.08.17)", "sphinx (>=7.0,<8.0)", "sphinx-argparse-cli (>=1.5)", "sphinx-autodoc-typehints (>=1.10)", "sphinx-issues (>=3.0.0)"] -test = ["filelock (>=3)", "pytest (>=6.2.4)", "pytest-cov (>=2.12)", "pytest-mock (>=2)", "pytest-rerunfailures (>=9.1)", "pytest-xdist (>=1.34)", "setuptools (>=42.0.0)", "setuptools (>=56.0.0)", "setuptools (>=56.0.0)", "setuptools (>=67.8.0)", "wheel (>=0.36.0)"] -typing = ["importlib-metadata (>=5.1)", "mypy (>=1.5.0,<1.6.0)", "tomli", "typing-extensions (>=3.7.4.3)"] +test = ["build[uv,virtualenv]", "filelock 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traitlets = ">=5.13.0" +typing-extensions = {version = "*", markers = "python_version < \"3.12\""} [package.extras] -all = ["ipython[black,doc,kernel,nbconvert,nbformat,notebook,parallel,qtconsole,terminal]", "ipython[test,test-extra]"] +all = ["ipython[black,doc,kernel,matplotlib,nbconvert,nbformat,notebook,parallel,qtconsole]", "ipython[test,test-extra]"] black = ["black"] doc = ["docrepr", "exceptiongroup", "ipykernel", "ipython[test]", "matplotlib", "setuptools (>=18.5)", "sphinx (>=1.3)", "sphinx-rtd-theme", "sphinxcontrib-jquery", "stack-data", "typing-extensions"] kernel = ["ipykernel"] +matplotlib = ["matplotlib"] nbconvert = ["nbconvert"] nbformat = ["nbformat"] notebook = ["ipywidgets", "notebook"] @@ -2385,13 +2388,13 @@ adal = ["adal (>=1.0.2)"] [[package]] name = "langchain" -version = "0.1.13" +version = "0.1.14" description = "Building applications with LLMs through composability" optional = false python-versions = "<4.0,>=3.8.1" files = [ - {file = 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azure = ["azure-ai-formrecognizer (>=3.2.1,<4.0.0)", "azure-ai-textanalytics (>=5.3.0,<6.0.0)", "azure-cognitiveservices-speech (>=1.28.0,<2.0.0)", "azure-core (>=1.26.4,<2.0.0)", "azure-cosmos (>=4.4.0b1,<5.0.0)", "azure-identity (>=1.12.0,<2.0.0)", "azure-search-documents (==11.4.0b8)", "openai (<2)"] clarifai = ["clarifai (>=9.1.0)"] cli = ["typer (>=0.9.0,<0.10.0)"] -cohere = ["cohere (>=4,<5)"] +cohere = ["cohere (>=4,<6)"] docarray = ["docarray[hnswlib] (>=0.32.0,<0.33.0)"] embeddings = ["sentence-transformers (>=2,<3)"] -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)", "beautifulsoup4 (>=4,<5)", "bibtexparser (>=1.4.0,<2.0.0)", "cassio (>=0.1.0,<0.2.0)", "chardet (>=5.1.0,<6.0.0)", "cohere (>=4,<5)", "couchbase (>=4.1.9,<5.0.0)", "dashvector (>=1.0.1,<2.0.0)", "databricks-vectorsearch (>=0.21,<0.22)", "datasets 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"types_pywin32-306.0.0.20240319-py3-none-any.whl", hash = "sha256:acaa5da80f1b875115da8af2836c75c3cee4b45a2dd19e0fcac23dd011e2387b"}, + {file = "types-pywin32-306.0.0.20240331.tar.gz", hash = "sha256:3427e60ffbbc47b31e6bc416c3e4c37d579e6774e5152dab953589c9b64c4d58"}, + {file = "types_pywin32-306.0.0.20240331-py3-none-any.whl", hash = "sha256:844b90253f3da38e254c9ce199ba41f63da52c511003daedcda414e88f1cf319"}, ] [[package]] @@ -5724,13 +5764,13 @@ files = [ [[package]] name = "werkzeug" -version = "3.0.1" +version = "3.0.2" description = "The comprehensive WSGI web application library." optional = false python-versions = ">=3.8" files = [ - {file = "werkzeug-3.0.1-py3-none-any.whl", hash = "sha256:90a285dc0e42ad56b34e696398b8122ee4c681833fb35b8334a095d82c56da10"}, - {file = "werkzeug-3.0.1.tar.gz", hash = "sha256:507e811ecea72b18a404947aded4b3390e1db8f826b494d76550ef45bb3b1dcc"}, + {file = "werkzeug-3.0.2-py3-none-any.whl", hash = "sha256:3aac3f5da756f93030740bc235d3e09449efcf65f2f55e3602e1d851b8f48795"}, + {file = "werkzeug-3.0.2.tar.gz", hash = "sha256:e39b645a6ac92822588e7b39a692e7828724ceae0b0d702ef96701f90e70128d"}, ] [package.dependencies] diff --git a/src/backend/base/pyproject.toml b/src/backend/base/pyproject.toml index f56dd104a..3e98b9f23 100644 --- a/src/backend/base/pyproject.toml +++ b/src/backend/base/pyproject.toml @@ -1,6 +1,6 @@ [tool.poetry] name = "langflow-base" -version = "0.0.11" +version = "0.0.13" description = "A Python package with a built-in web application" authors = ["Logspace "] maintainers = [ diff --git a/src/frontend/src/assets/undraw_blog_post_re_fy5x.svg b/src/frontend/src/assets/undraw_blog_post_re_fy5x.svg new file mode 100644 index 000000000..96bcbea23 --- /dev/null +++ b/src/frontend/src/assets/undraw_blog_post_re_fy5x.svg @@ -0,0 +1 @@ + \ No newline at end of file diff --git a/src/frontend/src/assets/undraw_chat_bot_re_e2gj.svg b/src/frontend/src/assets/undraw_chat_bot_re_e2gj.svg new file mode 100644 index 000000000..0d7af9195 --- /dev/null +++ b/src/frontend/src/assets/undraw_chat_bot_re_e2gj.svg @@ -0,0 +1 @@ + \ No newline at end of file diff --git a/src/frontend/src/assets/undraw_cloud_docs_re_xjht.svg b/src/frontend/src/assets/undraw_cloud_docs_re_xjht.svg new file mode 100644 index 000000000..6a0029370 --- /dev/null +++ b/src/frontend/src/assets/undraw_cloud_docs_re_xjht.svg @@ -0,0 +1 @@ + \ No newline at end of file diff --git a/src/frontend/src/assets/undraw_short_bio_re_fmx0.svg b/src/frontend/src/assets/undraw_short_bio_re_fmx0.svg new file mode 100644 index 000000000..95cbf86e6 --- /dev/null +++ b/src/frontend/src/assets/undraw_short_bio_re_fmx0.svg @@ -0,0 +1 @@ + \ No newline at end of file diff --git a/src/frontend/src/modals/IOModal/components/chatView/chatMessage/index.tsx b/src/frontend/src/modals/IOModal/components/chatView/chatMessage/index.tsx index 0cbe2ecd3..3d24353ce 100644 --- a/src/frontend/src/modals/IOModal/components/chatView/chatMessage/index.tsx +++ b/src/frontend/src/modals/IOModal/components/chatView/chatMessage/index.tsx @@ -110,7 +110,7 @@ export default function ChatMessage({ >
@@ -126,7 +126,7 @@ export default function ChatMessage({ alt={!chat.isSend ? "robot_image" : "male_technology"} />
- + {chat.sender_name}
diff --git a/src/frontend/src/modals/IOModal/index.tsx b/src/frontend/src/modals/IOModal/index.tsx index 38d2a48b1..79bed0557 100644 --- a/src/frontend/src/modals/IOModal/index.tsx +++ b/src/frontend/src/modals/IOModal/index.tsx @@ -116,10 +116,13 @@ export default function IOModal({ } useEffect(() => { - setSelectedViewField(startView()); - setSelectedTab(inputs.length > 0 ? 1 : outputs.length > 0 ? 2 : 0); + if(selectedTab!==2) setSelectedTab(inputs.length > 0 ? 1 : outputs.length > 0 ? 2 : 0); }, [allNodes]); + useEffect(() => { + setSelectedViewField(startView()); + },[open]) + return ( @@ -42,15 +47,15 @@ export default function UndrawCardComponent({ return ( ); - case "Chat with memory": + case "Memory Chatbot": return ( - ); - case "Assistant": + case "Document QA": return ( - + ); + case "Prompt Chaining": + return ( + */} -
+
- {examples.map((example, idx) => { + {/* {examples.map((example, idx) => { return ; - })} + })} */} + {examples.find((e) => e.name == "Basic Prompting") && ( + e.name == "Basic Prompting")!} + /> + )} + {examples.find((e) => e.name == "Memory Chatbot") && ( + e.name == "Memory Chatbot")!} + /> + )} + {examples.find((e) => e.name == "Document QA") && ( + e.name == "Document QA")!} + /> + )} + {examples.find((e) => e.name == "Prompt Chaining") && ( + e.name == "Prompt Chaining")!} + /> + )} + {examples.find((e) => e.name == "Blog Writer") && ( + e.name == "Blog Writer")!} + /> + )}
diff --git a/src/frontend/src/modals/baseModal/index.tsx b/src/frontend/src/modals/baseModal/index.tsx index 08f00ae8d..15a471fff 100644 --- a/src/frontend/src/modals/baseModal/index.tsx +++ b/src/frontend/src/modals/baseModal/index.tsx @@ -141,7 +141,7 @@ function BaseModal({ break; case "three-cards": minWidth = "min-w-[1066px]"; - height = "h-[80vh]"; + height = "h-fit"; break; case "large-thin": minWidth = "min-w-[65vw]"; diff --git a/src/frontend/src/modals/shareModal/index.tsx b/src/frontend/src/modals/shareModal/index.tsx index 2dddbe232..83dbb7137 100644 --- a/src/frontend/src/modals/shareModal/index.tsx +++ b/src/frontend/src/modals/shareModal/index.tsx @@ -20,6 +20,7 @@ import { downloadNode, removeApiKeys, removeFileNameFromComponents, + removeGlobalVariableFromComponents, } from "../../utils/reactflowUtils"; import { getTagsIds } from "../../utils/storeUtils"; import ConfirmationModal from "../ConfirmationModal"; @@ -100,6 +101,7 @@ export default function ShareModal({ const handleShareComponent = async (update = false) => { //remove file names from flows before sharing removeFileNameFromComponents(component); + removeGlobalVariableFromComponents(component); const flow: FlowType = removeApiKeys({ id: component!.id, data: component!.data, diff --git a/src/frontend/src/utils/reactflowUtils.ts b/src/frontend/src/utils/reactflowUtils.ts index f9de6099b..901dd1cf7 100644 --- a/src/frontend/src/utils/reactflowUtils.ts +++ b/src/frontend/src/utils/reactflowUtils.ts @@ -1192,6 +1192,20 @@ export function removeFileNameFromComponents(flow: FlowType) { }); } +export function removeGlobalVariableFromComponents(flow: FlowType) { + flow.data!.nodes.forEach((node: NodeType) => { + Object.keys(node.data.node!.template).forEach((field) => { + if (node.data?.node?.template[field]?.load_from_db) { + node.data.node!.template[field].value = ""; + node.data.node!.template[field].load_from_db = false; + } + }); + if (node.data.node?.flow) { + removeGlobalVariableFromComponents(node.data.node.flow); + } + }); +} + export function typesGenerator(data: APIObjectType) { return Object.keys(data) .reverse()