diff --git a/.github/workflows/pre-release.yml b/.github/workflows/pre-release.yml
index 58bdd219e..0c0001a08 100644
--- a/.github/workflows/pre-release.yml
+++ b/.github/workflows/pre-release.yml
@@ -11,7 +11,7 @@ on:
workflow_dispatch:
env:
- POETRY_VERSION: "1.5.1"
+ POETRY_VERSION: "1.8.2"
jobs:
if_release:
@@ -20,7 +20,7 @@ jobs:
steps:
- uses: actions/checkout@v4
- name: Install poetry
- run: pipx install poetry==$POETRY_VERSION
+ run: pipx install poetry==$POETRY_VERSION && poetry self add poetry-monorepo-dependency-plugin
- name: Set up Python 3.10
uses: actions/setup-python@v5
with:
diff --git a/.github/workflows/release.yml b/.github/workflows/release.yml
index 21d8d27eb..b373b859b 100644
--- a/.github/workflows/release.yml
+++ b/.github/workflows/release.yml
@@ -10,7 +10,7 @@ on:
- "pyproject.toml"
env:
- POETRY_VERSION: "1.5.1"
+ POETRY_VERSION: "1.8.2"
jobs:
if_release:
@@ -19,7 +19,7 @@ jobs:
steps:
- uses: actions/checkout@v4
- name: Install poetry
- run: pipx install poetry==$POETRY_VERSION
+ run: pipx install poetry==$POETRY_VERSION && poetry self add poetry-monorepo-dependency-plugin
- name: Set up Python 3.10
uses: actions/setup-python@v5
with:
diff --git a/.gitignore b/.gitignore
index 19c1c2367..a2ff9a883 100644
--- a/.gitignore
+++ b/.gitignore
@@ -258,6 +258,7 @@ langflow.db
/tmp/*
src/backend/langflow/frontend/
+src/backend/base/langflow/frontend/
.docker
scratchpad*
chroma*/*
diff --git a/Makefile b/Makefile
index 4de68111b..e4494e1c5 100644
--- a/Makefile
+++ b/Makefile
@@ -2,6 +2,10 @@
all: help
+setup_poetry:
+ pipx install poetry
+ poetry self add poetry-monorepo-dependency-plugin
+
init:
@echo 'Installing backend dependencies'
make install_backend
@@ -28,7 +32,7 @@ format:
lint:
make install_backend
- poetry run mypy src/backend/langflow
+ poetry run mypy src/backend
poetry run ruff . --fix
install_frontend:
@@ -49,16 +53,39 @@ else
endif
run_cli:
- poetry run langflow run --path src/frontend/build
+ @echo 'Running the CLI'
+ @make install_frontend > /dev/null
+ @echo 'Building the frontend'
+ @make build_frontend > /dev/null
+ @echo 'Install backend dependencies'
+ @make install_backend > /dev/null
+ifdef env
+ poetry run langflow run --path src/frontend/build --host $(host) --port $(port) --env-file $(env)
+else
+ poetry run langflow run --path src/frontend/build --host $(host) --port $(port) --env-file .env
+endif
run_cli_debug:
- poetry run langflow run --path src/frontend/build --log-level debug
-
+ @echo 'Running the CLI in debug mode'
+ @make install_frontend > /dev/null
+ @echo 'Building the frontend'
+ @make build_frontend > /dev/null
+ @echo 'Install backend dependencies'
+ @make install_backend > /dev/null
+ifdef env
+ poetry run langflow run --path src/frontend/build --log-level debug --host $(host) --port $(port) --env-file $(env)
+else
+ poetry run langflow run --path src/frontend/build --log-level debug --host $(host) --port $(port) --env-file .env
+endif
setup_devcontainer:
make init
make build_frontend
poetry run langflow --path src/frontend/build
+setup_env:
+ @sh ./scripts/setup/update_poetry.sh 1.8.2
+ @sh ./scripts/setup/setup_env.sh
+
frontend:
make install_frontend
make run_frontend
@@ -68,38 +95,53 @@ frontendc:
make run_frontend
install_backend:
- poetry install --extras deploy
+ @echo 'Installing backend dependencies'
+ @make setup_env
+ @poetry install --extras deploy
backend:
make install_backend
@-kill -9 `lsof -t -i:7860`
ifeq ($(login),1)
@echo "Running backend without autologin";
- poetry run langflow run --backend-only --port 7860 --host 0.0.0.0 --no-open-browser --env-file .env
+ poetry run uvicorn --factory langflow.main:create_app --host 0.0.0.0 --port 7860 --reload --env-file .env
else
@echo "Running backend with autologin";
- LANGFLOW_AUTO_LOGIN=True poetry run langflow run --backend-only --port 7860 --host 0.0.0.0 --no-open-browser --env-file .env
+ LANGFLOW_AUTO_LOGIN=True poetry run uvicorn --factory langflow.main:create_app --host 0.0.0.0 --port 7860 --reload --env-file .env
endif
build_and_run:
- echo 'Removing dist folder'
+ @echo 'Removing dist folder'
rm -rf dist
- make build && poetry run pip install dist/*.tar.gz && poetry run langflow run
+ rm -rf src/backend/base/dist
+ make build
+ poetry run pip install dist/*.tar.gz && pip install src/backend/base/dist/*.tar.gz
+ poetry run langflow run
build_and_install:
- echo 'Removing dist folder'
+ @echo 'Removing dist folder'
rm -rf dist
- make build && poetry run pip install dist/*.tar.gz
+ rm -rf src/backend/base/dist
+ make build && poetry run pip install dist/*.whl && pip install src/backend/base/dist/*.whl --force-reinstall
build_frontend:
cd src/frontend && CI='' npm run build
- cp -r src/frontend/build src/backend/langflow/frontend
+ cp -r src/frontend/build src/backend/base/langflow/frontend
build:
+ @echo 'Building the project'
+ @make setup_env
+ make build_langflow_base
+ make build_langflow
+
+build_langflow:
+ poetry build-rewrite-path-deps --version-pinning-strategy=semver
+
+build_langflow_base:
make install_frontend
make build_frontend
- poetry build --format sdist
- rm -rf src/backend/langflow/frontend
+ cd src/backend/base && poetry build-rewrite-path-deps --version-pinning-strategy=semver
+ rm -rf src/backend/base/langflow/frontend
dev:
make install_frontend
@@ -111,10 +153,30 @@ else
docker compose $(if $(debug),-f docker-compose.debug.yml) up
endif
-publish:
- make build
+lock_base:
+ cd src/backend/base && poetry lock
+
+lock_langflow:
+ poetry lock
+
+lock:
+# Run both in parallel
+ # cd src/backend/base && poetry lock
+ # poetry lock
+ @echo 'Locking dependencies'
+ @make -j2 lock_base lock_langflow
+publish_base:
+ make build_langflow_base
+ cd src/backend/base && poetry publish
+
+publish_langflow:
+ make build_langflow
poetry publish
+publish:
+ make publish_base
+ make publish_langflow
+
help:
@echo '----'
@echo 'format - run code formatters'
diff --git a/docs/docs/components/inputs.mdx b/docs/docs/components/inputs.mdx
index e4a4a8b0f..2e953d986 100644
--- a/docs/docs/components/inputs.mdx
+++ b/docs/docs/components/inputs.mdx
@@ -2,7 +2,7 @@ import Admonition from '@theme/Admonition';
# Inputs
-### ChatInput
+### Chat Input
This component is designed to get user input from the chat.
@@ -22,7 +22,7 @@ This component is designed to get user input from the chat.
-### TextInput
+### Text Input
This component is designed for simple text input, allowing users to pass textual data to subsequent components in the workflow. It's particularly useful for scenarios where a brief user input is required to initiate or influence the flow.
diff --git a/docs/docs/components/models.mdx b/docs/docs/components/models.mdx
index e69de29bb..9d4f67257 100644
--- a/docs/docs/components/models.mdx
+++ b/docs/docs/components/models.mdx
@@ -0,0 +1,464 @@
+import Admonition from '@theme/Admonition';
+
+# Models
+
+
+
+ We appreciate your understanding as we polish our documentation – it may contain some rough edges. Share your feedback or report issues to help us improve! 🛠️📝
+
+
+
+### AmazonBedrock
+
+This component facilitates the generation of text using the LLM (Large Language Model) model from Amazon Bedrock.
+
+**Params**
+
+- **Input Value:** Specifies the input text for text generation.
+
+- **System Message (Optional):** A system message to pass to the model.
+
+- **Model ID (Optional):** Specifies the model ID to be used for text generation. Defaults to _`"anthropic.claude-instant-v1"`_. Available options include:
+ - _`"ai21.j2-grande-instruct"`_
+ - _`"ai21.j2-jumbo-instruct"`_
+ - _`"ai21.j2-mid"`_
+ - _`"ai21.j2-mid-v1"`_
+ - _`"ai21.j2-ultra"`_
+ - _`"ai21.j2-ultra-v1"`_
+ - _`"anthropic.claude-instant-v1"`_
+ - _`"anthropic.claude-v1"`_
+ - _`"anthropic.claude-v2"`_
+ - _`"cohere.command-text-v14"`_
+
+- **Credentials Profile Name (Optional):** Specifies the name of the credentials profile.
+
+- **Region Name (Optional):** Specifies the region name.
+
+- **Model Kwargs (Optional):** Additional keyword arguments for the model.
+
+- **Endpoint URL (Optional):** Specifies the endpoint URL.
+
+- **Streaming (Optional):** Specifies whether to stream the response from the model. Defaults to _`False`_.
+
+- **Cache (Optional):** Specifies whether to cache the response.
+
+- **Stream (Optional):** Specifies whether to stream the response from the model. Defaults to _`False`_.
+
+
+
+ Ensure that necessary credentials are provided to connect to the Amazon Bedrock API. If connection fails, a ValueError will be raised.
+
+
+
+
+---
+
+### AnthropicLLM
+
+This component allows the generation of text using Anthropic Chat&Completion large language models.
+
+**Params**
+
+- **Model Name:** Specifies the name of the Anthropic model to be used for text generation. Available options include:
+ - _`"claude-2.1"`_
+ - _`"claude-2.0"`_
+ - _`"claude-instant-1.2"`_
+ - _`"claude-instant-1"`_
+
+- **Anthropic API Key:** Your Anthropic API key.
+
+- **Max Tokens (Optional):** Specifies the maximum number of tokens to generate. Defaults to _`256`_.
+
+- **Temperature (Optional):** Specifies the sampling temperature. Defaults to _`0.7`_.
+
+- **API Endpoint (Optional):** Specifies the endpoint of the Anthropic API. Defaults to _`"https://api.anthropic.com"`_ if not specified.
+
+- **Input Value:** Specifies the input text for text generation.
+
+- **Stream (Optional):** Specifies whether to stream the response from the model. Defaults to _`False`_.
+
+- **System Message (Optional):** A system message to pass to the model.
+
+For detailed documentation and integration guides, please refer to the [Anthropic Component Documentation](https://python.langchain.com/docs/integrations/chat/anthropic).
+
+---
+
+### AzureChatOpenAI
+
+This component allows the generation of text using the LLM (Large Language Model) model from Azure OpenAI.
+
+**Params**
+
+- **Model Name:** Specifies the name of the Azure OpenAI model to be used for text generation. Available options include:
+ - _`"gpt-35-turbo"`_
+ - _`"gpt-35-turbo-16k"`_
+ - _`"gpt-35-turbo-instruct"`_
+ - _`"gpt-4"`_
+ - _`"gpt-4-32k"`_
+ - _`"gpt-4-vision"`_
+
+- **Azure Endpoint:** Your Azure endpoint, including the resource. Example: `https://example-resource.azure.openai.com/`.
+
+- **Deployment Name:** Specifies the name of the deployment.
+
+- **API Version:** Specifies the version of the Azure OpenAI API to be used. Available options include:
+ - _`"2023-03-15-preview"`_
+ - _`"2023-05-15"`_
+ - _`"2023-06-01-preview"`_
+ - _`"2023-07-01-preview"`_
+ - _`"2023-08-01-preview"`_
+ - _`"2023-09-01-preview"`_
+ - _`"2023-12-01-preview"`_
+
+- **API Key:** Your Azure OpenAI API key.
+
+- **Temperature (Optional):** Specifies the sampling temperature. Defaults to _`0.7`_.
+
+- **Max Tokens (Optional):** Specifies the maximum number of tokens to generate. Defaults to _`1000`_.
+
+- **Input Value:** Specifies the input text for text generation.
+
+- **Stream (Optional):** Specifies whether to stream the response from the model. Defaults to _`False`_.
+
+- **System Message (Optional):** A system message to pass to the model.
+
+For detailed documentation and integration guides, please refer to the [Azure OpenAI Component Documentation](https://python.langchain.com/docs/integrations/llms/azure_openai).
+
+
+---
+
+### QianfanChatEndpoint
+
+This component facilitates the generation of text using Baidu Qianfan chat models.
+
+**Params**
+
+- **Model Name:** Specifies the name of the Qianfan chat model to be used for text generation. Available options include:
+ - _`"ERNIE-Bot"`_
+ - _`"ERNIE-Bot-turbo"`_
+ - _`"BLOOMZ-7B"`_
+ - _`"Llama-2-7b-chat"`_
+ - _`"Llama-2-13b-chat"`_
+ - _`"Llama-2-70b-chat"`_
+ - _`"Qianfan-BLOOMZ-7B-compressed"`_
+ - _`"Qianfan-Chinese-Llama-2-7B"`_
+ - _`"ChatGLM2-6B-32K"`_
+ - _`"AquilaChat-7B"`_
+
+- **Qianfan Ak:** Your Baidu Qianfan access key, obtainable from [here](https://cloud.baidu.com/product/wenxinworkshop).
+
+- **Qianfan Sk:** Your Baidu Qianfan secret key, obtainable from [here](https://cloud.baidu.com/product/wenxinworkshop).
+
+- **Top p (Optional):** Model parameter. Specifies the top-p value. Only supported in ERNIE-Bot and ERNIE-Bot-turbo models. Defaults to _`0.8`_.
+
+- **Temperature (Optional):** Model parameter. Specifies the sampling temperature. Only supported in ERNIE-Bot and ERNIE-Bot-turbo models. Defaults to _`0.95`_.
+
+- **Penalty Score (Optional):** Model parameter. Specifies the penalty score. Only supported in ERNIE-Bot and ERNIE-Bot-turbo models. Defaults to _`1.0`_.
+
+- **Endpoint (Optional):** Endpoint of the Qianfan LLM, required if custom model is used.
+
+- **Input Value:** Specifies the input text for text generation.
+
+- **Stream (Optional):** Specifies whether to stream the response from the model. Defaults to _`False`_.
+
+- **System Message (Optional):** A system message to pass to the model.
+
+---
+
+### Cohere
+
+This component enables text generation using Cohere large language models.
+
+**Params**
+
+- **Cohere API Key:** Your Cohere API key.
+
+- **Max Tokens (Optional):** Specifies the maximum number of tokens to generate. Defaults to _`256`_.
+
+- **Temperature (Optional):** Specifies the sampling temperature. Defaults to _`0.75`_.
+
+- **Input Value:** Specifies the input text for text generation.
+
+- **Stream (Optional):** Specifies whether to stream the response from the model. Defaults to _`False`_.
+
+- **System Message (Optional):** A system message to pass to the model.
+
+---
+
+### CTransformers
+
+This component allows the generation of text using CTransformers large language models.
+
+**Params**
+
+- **Model:** Specifies the CTransformers model to be used for text generation.
+
+- **Model File (Optional):** Path to the model file if using a custom model. Should be a _.bin_ file.
+
+- **Model Type:** Specifies the type of the CTransformers model.
+
+- **Config (Optional):** Additional configuration parameters for the model. It should be provided as a JSON object.
+
+ Defaults to:
+
+ `{"top_k":40,"top_p":0.95,"temperature":0.8,"repetition_penalty":1.1,"last_n_tokens":64,"seed":-1,"max_new_tokens":256,"stop":"","stream":"False","reset":"True","batch_size":8,"threads":-1,"context_length":-1,"gpu_layers":0}`.
+
+- **Input Value:** Specifies the input text for text generation.
+
+- **Stream (Optional):** Specifies whether to stream the response from the model. Defaults to _`False`_.
+
+- **System Message (Optional):** A system message to pass to the model.
+
+---
+
+### Google Generative AI
+
+This component enables text generation using Google Generative AI.
+
+**Params**
+
+- **Google API Key:** Your Google API key to use for the Google Generative AI.
+
+- **Model:** The name of the model to use. Supported examples are _`"gemini-pro"`_ and _`"gemini-pro-vision"`_.
+
+- **Max Output Tokens (Optional):** The maximum number of tokens to generate.
+
+- **Temperature:** Run inference with this temperature. Must be in the closed interval [0.0, 1.0].
+
+- **Top K (Optional):** Decode using top-k sampling: consider the set of top_k most probable tokens. Must be positive.
+
+- **Top P (Optional):** The maximum cumulative probability of tokens to consider when sampling.
+
+- **N (Optional):** Number of chat completions to generate for each prompt. Note that the API may not return the full n completions if duplicates are generated.
+
+- **Input Value:** The input to the model.
+
+- **Stream (Optional):** Specifies whether to stream the response from the model. Defaults to _`False`_.
+
+- **System Message (Optional):** A system message to pass to the model.
+
+---
+
+### Hugging Face API
+
+This component facilitates text generation using LLM models from the Hugging Face Inference API.
+
+**Params**
+
+- **Endpoint URL:** The URL of the Hugging Face Inference API endpoint. Should be provided along with necessary authentication credentials.
+
+- **Task:** Specifies the task for text generation. Options include _`"text2text-generation"`_, _`"text-generation"`_, and _`"summarization"`_.
+
+- **API Token:** The API token required for authentication with the Hugging Face Hub.
+
+- **Model Keyword Arguments (Optional):** Additional keyword arguments for the model. Should be provided as a Python dictionary.
+
+- **Input Value:** The input text for text generation.
+
+- **Stream (Optional):** Specifies whether to stream the response from the model. Defaults to _`False`_.
+
+- **System Message (Optional):** A system message to pass to the model.
+
+---
+
+### LlamaCpp
+
+The `LlamaCpp` is a component for generating text using the llama.cpp model.
+
+**Params**
+
+- **Model Path:** The path to the llama.cpp model file. This should be provided as a file type input.
+
+- **Input Value:** The input text for text generation.
+
+- **Grammar (Optional):** The grammar for text generation.
+
+- **Cache (Optional):** Specifies whether to cache the generated text.
+
+- **Client (Optional):** The client to use for text generation.
+
+- **Echo (Optional):** Specifies whether to echo the generated text. Defaults to _`False`_.
+
+- **F16 KV:** Specifies whether to use F16 key-value pairs. Defaults to _`True`_.
+
+- **Grammar Path (Optional):** The path to the grammar file.
+
+- **Last N Tokens Size (Optional):** The size of the last N tokens. Defaults to _`64`_.
+
+- **Logits All:** Specifies whether to include logits for all tokens. Defaults to _`False`_.
+
+- **Logprobs (Optional):** The log probabilities for text generation.
+
+- **Lora Base (Optional):** The base URL for Lora.
+
+- **Lora Path (Optional):** The path for Lora.
+
+- **Max Tokens (Optional):** The maximum number of tokens to generate. Defaults to _`256`_.
+
+- **Metadata (Optional):** Additional metadata for the model.
+
+- **Model Kwargs:** Additional keyword arguments for the model. Should be provided as a Python dictionary.
+
+- **N Batch (Optional):** The batch size. Defaults to _`8`_.
+
+- **N Ctx:** The context size. Defaults to _`512`_.
+
+- **N GPU Layers (Optional):** The number of GPU layers.
+
+- **N Parts:** The number of parts.
+
+- **N Threads (Optional):** The number of threads. Defaults to _`1`_.
+
+- **Repeat Penalty (Optional):** The repeat penalty for text generation. Defaults to _`1.1`_.
+
+- **Rope Freq Base:** The base frequency for rope.
+
+- **Rope Freq Scale:** The scale frequency for rope.
+
+- **Seed:** The seed for random generation.
+
+- **Stop (Optional):** The stop words for text generation.
+
+- **Streaming:** Specifies whether to stream the response from the model. Defaults to _`True`_.
+
+- **Suffix (Optional):** The suffix for text generation.
+
+- **Tags (Optional):** The tags for text generation.
+
+- **Temperature (Optional):** The temperature for text generation. Defaults to _`0.8`_.
+
+- **Top K (Optional):** The top K tokens to consider for text generation. Defaults to _`40`_.
+
+- **Top P (Optional):** The top P probability threshold for text generation. Defaults to _`0.95`_.
+
+- **Use Mlock:** Specifies whether to use Mlock. Defaults to _`False`_.
+
+- **Use Mmap (Optional):** Specifies whether to use Mmap. Defaults to _`True`_.
+
+- **Verbose:** Specifies whether to enable verbose mode. Defaults to _`True`_.
+
+- **Vocab Only:** Specifies whether to include vocabulary only.
+
+- **Stream (Optional):** Specifies whether to stream the response from the model. Defaults to _`False`_.
+
+For more information, please refer to the [documentation](https://python.langchain.com/docs/modules/model_io/models/llms/integrations/llamacpp).
+
+---
+
+### ChatOllama
+
+This component facilitates text generation using the Local LLM model for chat with Ollama.
+
+**Params**
+
+- **Base URL:** The endpoint of the Ollama API. Defaults to 'http://localhost:11434' if not specified.
+
+- **Model Name:** The name of the model to use. Refer to [https://ollama.ai/library](https://ollama.ai/library) for more models.
+
+- **Input Value:** The input text for text generation.
+
+- **Mirostat:** Enable/disable Mirostat sampling for controlling perplexity.
+
+- **Mirostat Eta (Optional):** The learning rate for the Mirostat algorithm. (Default: 0.1)
+
+- **Mirostat Tau (Optional):** Controls the balance between coherence and diversity of the output. (Default: 5.0)
+
+- **Repeat Last N (Optional):** How far back the model looks to prevent repetition. (Default: 64, 0 = disabled, -1 = num_ctx)
+
+- **Verbose (Optional):** Whether to print out response text.
+
+- **Cache (Optional):** Enable or disable caching. Defaults to _`False`_.
+
+- **Context Window Size (Optional):** Size of the context window for generating tokens. (Default: 2048)
+
+- **Number of GPUs (Optional):** Number of GPUs to use for computation. (Default: 1 on macOS, 0 to disable)
+
+- **Format (Optional):** Specify the format of the output (e.g., json).
+
+- **Metadata (Optional):** Metadata to add to the run trace.
+
+- **Number of Threads (Optional):** Number of threads to use during computation. (Default: detected for optimal performance)
+
+- **Repeat Penalty (Optional):** Penalty for repetitions in generated text. (Default: 1.1)
+
+- **Stop Tokens (Optional):** List of tokens to signal the model to stop generating text.
+
+- **System (Optional):** System to use for generating text.
+
+- **Tags (Optional):** Tags to add to the run trace.
+
+- **Temperature (Optional):** Controls the creativity of model responses. Defaults to _`0.8`_.
+
+- **Template (Optional):** Template to use for generating text.
+
+- **TFS Z (Optional):** Tail free sampling value. (Default: 1)
+
+- **Timeout (Optional):** Timeout for the request stream.
+
+- **Top K (Optional):** Limits token selection to top K. (Default: 40)
+
+- **Top P (Optional):** Works together with top-k. (Default: 0.9)
+
+- **Stream (Optional):** Specifies whether to stream the response from the model. Defaults to _`False`_.
+
+- **System Message (Optional):** System message to pass to the model.
+
+---
+
+### OpenAIModel
+
+This component facilitates text generation using OpenAI's models.
+
+**Params**
+
+- **Input Value:** The input text for text generation.
+
+- **Max Tokens (Optional):** The maximum number of tokens to generate. Defaults to _`256`_.
+
+- **Model Kwargs (Optional):** Additional keyword arguments for the model. Should be provided as a nested dictionary.
+
+- **Model Name (Optional):** The name of the model to use. Defaults to _`gpt-4-1106-preview`_. Supported options include: _`gpt-4-turbo-preview`_, _`gpt-4-0125-preview`_, _`gpt-4-1106-preview`_, _`gpt-4-vision-preview`_, _`gpt-3.5-turbo-0125`_, _`gpt-3.5-turbo-1106`_.
+
+- **OpenAI API Base (Optional):** The base URL of the OpenAI API. Defaults to _`https://api.openai.com/v1`_.
+
+- **OpenAI API Key (Optional):** The API key for accessing the OpenAI API.
+
+- **Temperature:** Controls the creativity of model responses. Defaults to _`0.7`_.
+
+- **Stream (Optional):** Specifies whether to stream the response from the model. Defaults to _`False`_.
+
+- **System Message (Optional):** System message to pass to the model.
+
+---
+
+### ChatVertexAI
+
+The `ChatVertexAI` is a component for generating text using Vertex AI Chat large language models API.
+
+**Params**
+
+- **Input Value:** The input text for text generation.
+
+- **Credentials:** The JSON file containing the credentials for accessing the Vertex AI Chat API.
+
+- **Project:** The name of the project associated with the Vertex AI Chat API.
+
+- **Examples (Optional):** List of examples to provide context for text generation.
+
+- **Location:** The location of the Vertex AI Chat API service. Defaults to _`us-central1`_.
+
+- **Max Output Tokens:** The maximum number of tokens to generate. Defaults to _`128`_.
+
+- **Model Name:** The name of the model to use. Defaults to _`chat-bison`_.
+
+- **Temperature:** Controls the creativity of model responses. Defaults to _`0.0`_.
+
+- **Top K:** Limits token selection to top K. Defaults to _`40`_.
+
+- **Top P:** Works together with top-k. Defaults to _`0.95`_.
+
+- **Verbose:** Whether to print out response text. Defaults to _`False`_.
+
+- **Stream (Optional):** Specifies whether to stream the response from the model. Defaults to _`False`_.
+
+- **System Message (Optional):** System message to pass to the model.
\ No newline at end of file
diff --git a/docs/docs/components/prompts.mdx b/docs/docs/components/prompts.mdx
index 3aafc9b96..0b1ad705c 100644
--- a/docs/docs/components/prompts.mdx
+++ b/docs/docs/components/prompts.mdx
@@ -21,7 +21,7 @@ The `PromptTemplate` component allows users to create prompts and define variabl
Once a variable is defined in the prompt template, it becomes a component
input of its own. Check out [Prompt
- Customization](../docs/guidelines/prompt-customization.mdx) to learn more.
+ Customization](../guidelines/prompt-customization) to learn more.
- **template:** Template used to format an individual request.
diff --git a/docs/docs/components/vector-stores.mdx b/docs/docs/components/vector-stores.mdx
index 133984cda..0fd1fd89b 100644
--- a/docs/docs/components/vector-stores.mdx
+++ b/docs/docs/components/vector-stores.mdx
@@ -6,4 +6,640 @@ import Admonition from '@theme/Admonition';
We appreciate your understanding as we polish our documentation – it may contain some rough edges. Share your feedback or report issues to help us improve! 🛠️📝
-
\ No newline at end of file
+
+
+
+### AstraDB
+
+The `AstraDB` is a component for initializing an AstraDB Vector Store from Records. It facilitates the creation of AstraDB-based vector indexes for efficient document storage and retrieval.
+
+**Params**
+
+- **Input:** The input documents or records.
+
+- **Embedding:** The embedding model used by AstraDB.
+
+- **Collection Name:** The name of the collection in AstraDB.
+
+- **Token:** The token for AstraDB.
+
+- **API Endpoint:** The API endpoint for AstraDB.
+
+- **Namespace:** The namespace in AstraDB.
+
+- **Metric:** The metric to use in AstraDB.
+
+- **Batch Size:** The batch size for AstraDB.
+
+- **Bulk Insert Batch Concurrency:** The bulk insert batch concurrency for AstraDB.
+
+- **Bulk Insert Overwrite Concurrency:** The bulk insert overwrite concurrency for AstraDB.
+
+- **Bulk Delete Concurrency:** The bulk delete concurrency for AstraDB.
+
+- **Setup Mode:** The setup mode for the vector store.
+
+- **Pre Delete Collection:** Pre delete collection.
+
+- **Metadata Indexing Include:** Metadata indexing include.
+
+- **Metadata Indexing Exclude:** Metadata indexing exclude.
+
+- **Collection Indexing Policy:** Collection indexing policy.
+
+
+
+ Ensure that the required AstraDB token and API endpoint are properly configured.
+
+
+
+
+---
+
+### AstraDB Search
+
+The `AstraDBSearch` is a component for searching an existing AstraDB Vector Store for similar documents. It extends the functionality of the `AstraDB` component to provide efficient document retrieval based on similarity metrics.
+
+**Params**
+
+- **Search Type:** The type of search to perform (e.g., Similarity, MMR).
+
+- **Input Value:** The input value to search for.
+
+- **Embedding:** The embedding model used by AstraDB.
+
+- **Collection Name:** The name of the collection in AstraDB.
+
+- **Token:** The token for AstraDB.
+
+- **API Endpoint:** The API endpoint for AstraDB.
+
+- **Namespace:** The namespace in AstraDB.
+
+- **Metric:** The metric to use in AstraDB.
+
+- **Batch Size:** The batch size for AstraDB.
+
+- **Bulk Insert Batch Concurrency:** The bulk insert batch concurrency for AstraDB.
+
+- **Bulk Insert Overwrite Concurrency:** The bulk insert overwrite concurrency for AstraDB.
+
+- **Bulk Delete Concurrency:** The bulk delete concurrency for AstraDB.
+
+- **Setup Mode:** The setup mode for the vector store.
+
+- **Pre Delete Collection:** Pre delete collection.
+
+- **Metadata Indexing Include:** Metadata indexing include.
+
+- **Metadata Indexing Exclude:** Metadata indexing exclude.
+
+- **Collection Indexing Policy:** Collection indexing policy.
+
+---
+
+### Chroma
+
+The `Chroma` is a component designed for implementing a Vector Store using Chroma. This component allows users to utilize Chroma for efficient vector storage and retrieval within their language processing workflows.
+
+**Params**
+
+- **Collection Name:** The name of the collection.
+
+- **Persist Directory:** The directory to persist the Vector Store to.
+
+- **Server CORS Allow Origins (Optional):** The CORS allow origins for the Chroma server.
+
+- **Server Host (Optional):** The host for the Chroma server.
+
+- **Server Port (Optional):** The port for the Chroma server.
+
+- **Server gRPC Port (Optional):** The gRPC port for the Chroma server.
+
+- **Server SSL Enabled (Optional):** Whether to enable SSL for the Chroma server.
+
+
+- **Input:** Input data for creating the Vector Store.
+
+- **Embedding:** The embeddings to use for the Vector Store.
+
+For detailed documentation and integration guides, please refer to the [Chroma Component Documentation](https://python.langchain.com/docs/integrations/vectorstores/chroma).
+
+---
+
+### Chroma Search
+
+
+The `ChromaSearch` is a component designed for searching a Chroma collection for similar documents. This component integrates with Chroma to facilitate efficient document retrieval based on similarity metrics.
+
+**Params**
+
+- **Input:** The input text to search for similar documents.
+
+- **Search Type:** The type of search to perform ("Similarity" or "MMR").
+
+- **Collection Name:** The name of the Chroma collection.
+
+- **Index Directory:** The directory where the Chroma index is stored.
+
+- **Embedding:** The embedding model used to vectorize inputs (make sure to use the same as the index).
+
+- **Server CORS Allow Origins (Optional):** The CORS allow origins for the Chroma server.
+
+- **Server Host (Optional):** The host for the Chroma server.
+
+- **Server Port (Optional):** The port for the Chroma server.
+
+- **Server gRPC Port (Optional):** The gRPC port for the Chroma server.
+
+- **Server SSL Enabled (Optional):** Whether SSL is enabled for the Chroma server.
+
+
+---
+
+### FAISS
+
+The `FAISS` is a component designed for ingesting documents into a FAISS Vector Store. It facilitates efficient document indexing and retrieval using the FAISS library.
+
+**Params**
+
+- **Embedding:** The embedding model used to vectorize inputs.
+
+- **Input:** The input documents to ingest into the FAISS Vector Store.
+
+- **Folder Path:** The path to save the FAISS index. It will be relative to where Langflow is running.
+
+- **Index Name:** The name of the FAISS index.
+
+
+For detailed documentation and integration guides, please refer to the [FAISS Component Documentation](https://faiss.ai/index.html).
+
+---
+
+### FAISS Search
+
+The `FAISSSearch` is a component for searching a FAISS Vector Store for similar documents. It enables efficient document retrieval based on similarity metrics using FAISS.
+
+**Params**
+
+- **Embedding:** The embedding model used by the FAISS Vector Store.
+
+- **Folder Path:** The path from which to load the FAISS index. It will be relative to where Langflow is running.
+
+- **Input:** The input value to search for similar documents.
+
+- **Index Name:** The name of the FAISS index.
+
+
+---
+
+
+### MongoDB Atlas
+
+The `MongoDBAtlas` is a component used to construct a MongoDB Atlas Vector Search vector store from Records. It facilitates the creation of MongoDB Atlas-based vector stores for efficient document storage and retrieval.
+
+**Params**
+
+- **Embedding:** The embedding model used by the MongoDB Atlas Vector Search.
+
+- **Input:** The input documents or records.
+
+- **Collection Name:** The name of the collection in the MongoDB Atlas database.
+
+- **Database Name:** The name of the database in MongoDB Atlas.
+
+- **Index Name:** The name of the index in MongoDB Atlas.
+
+- **MongoDB Atlas Cluster URI:** The URI of the MongoDB Atlas cluster.
+
+- **Search Kwargs:** Additional search arguments for MongoDB Atlas.
+
+
+
+
+ Ensure that pymongo is installed to use MongoDB Atlas Vector Store.
+
+
+
+---
+
+### MongoDB Atlas Search
+
+The `MongoDBAtlasSearch` is a component for searching a MongoDB Atlas Vector Store for similar documents. It extends the functionality of the MongoDBAtlasComponent to provide efficient document retrieval based on similarity metrics.
+
+**Params**
+
+- **Search Type:** The type of search to perform. Options: "Similarity", "MMR".
+
+- **Input:** The input value to search for.
+
+- **Embedding:** The embedding model used by the MongoDB Atlas Vector Store.
+
+- **Collection Name:** The name of the collection in the MongoDB Atlas database.
+
+- **Database Name:** The name of the database in MongoDB Atlas.
+
+- **Index Name:** The name of the index in MongoDB Atlas.
+
+- **MongoDB Atlas Cluster URI:** The URI of the MongoDB Atlas cluster.
+
+- **Search Kwargs:** Additional search arguments for MongoDB Atlas.
+
+
+---
+
+### PGVector
+
+The `PGVector` is a component for implementing a Vector Store using PostgreSQL. It allows users to store and retrieve vectors efficiently within a PostgreSQL database.
+
+**Params**
+
+- **Input:** The input value to use for the Vector Store.
+
+- **Embedding:** The embedding model used by the Vector Store.
+
+- **PostgreSQL Server Connection String:** The URL for the PostgreSQL server.
+
+- **Table:** The name of the table in the PostgreSQL database.
+
+
+For detailed documentation and integration guides, please refer to the [PGVector Component Documentation](https://python.langchain.com/docs/integrations/vectorstores/pgvector).
+
+
+
+
+ Ensure that the required PostgreSQL server is accessible and properly configured.
+
+
+
+---
+
+### PGVector Search
+
+The `PGVectorSearch` is a component for searching a PGVector Store for similar documents. It extends the functionality of the PGVectorComponent to provide efficient document retrieval based on similarity metrics.
+
+**Params**
+
+- **Input:** The input value to search for.
+
+- **Embedding:** The embedding model used by the Vector Store.
+
+- **PostgreSQL Server Connection String:** The URL for the PostgreSQL server.
+
+- **Table:** The name of the table in the PostgreSQL database.
+
+- **Search Type:** The type of search to perform (e.g., "Similarity", "MMR").
+
+
+---
+
+### Pinecone
+
+The `Pinecone` is a component used to construct a Pinecone wrapper from Records. It facilitates the creation of Pinecone-based vector indexes for efficient document storage and retrieval.
+
+**Params**
+
+- **Input:** The input documents or records.
+
+- **Embedding:** The embedding model used by Pinecone.
+
+- **Index Name:** The name of the index in Pinecone.
+
+- **Namespace:** The namespace in Pinecone.
+
+- **Pinecone API Key:** The API key for Pinecone.
+
+- **Pinecone Environment:** The environment for Pinecone.
+
+- **Search Kwargs:** Additional search keyword arguments for Pinecone.
+
+- **Pool Threads:** The number of threads to use for Pinecone.
+
+
+
+
+ Ensure that the required Pinecone API key and environment are properly configured.
+
+
+
+---
+
+### Pinecone Search
+
+The `PineconeSearch` is a component used to search a Pinecone Vector Store for similar documents. It extends the functionality of the `PineconeComponent` to provide efficient document retrieval based on similarity metrics.
+
+**Params**
+
+- **Search Type:** The type of search to perform (e.g., Similarity, MMR).
+
+- **Input Value:** The input value to search for.
+
+- **Embedding:** The embedding model used by Pinecone.
+
+- **Index Name:** The name of the index in Pinecone.
+
+- **Namespace:** The namespace in Pinecone.
+
+- **Pinecone API Key:** The API key for Pinecone.
+
+- **Pinecone Environment:** The environment for Pinecone.
+
+- **Search Kwargs:** Additional search keyword arguments for Pinecone.
+
+- **Pool Threads:** The number of threads to use for Pinecone.
+
+
+---
+
+### Qdrant
+
+The `Qdrant` is a component used to construct a Qdrant wrapper from a list of texts. It allows for efficient similarity search and retrieval operations based on the provided embeddings.
+
+**Params**
+
+- **Input:** The input documents or records.
+
+- **Embedding:** The embedding model used by Qdrant.
+
+- **API Key:** The API key for Qdrant (password field).
+
+- **Collection Name:** The name of the collection in Qdrant.
+
+- **Content Payload Key:** The key for the content payload in the documents (advanced).
+
+- **Distance Function:** The distance function to use in Qdrant (advanced).
+
+- **gRPC Port:** The gRPC port for Qdrant (advanced).
+
+- **Host:** The host for Qdrant (advanced).
+
+- **HTTPS:** Enable HTTPS for Qdrant (advanced).
+
+- **Location:** The location for Qdrant (advanced).
+
+- **Metadata Payload Key:** The key for the metadata payload in the documents (advanced).
+
+- **Path:** The path for Qdrant (advanced).
+
+- **Port:** The port for Qdrant (advanced).
+
+- **Prefer gRPC:** Prefer gRPC for Qdrant (advanced).
+
+- **Prefix:** The prefix for Qdrant (advanced).
+
+- **Search Kwargs:** Additional search keyword arguments for Qdrant (advanced).
+
+- **Timeout:** The timeout for Qdrant (advanced).
+
+- **URL:** The URL for Qdrant (advanced).
+
+---
+
+### Qdrant Search
+
+The `QdrantSearch` is a component used to search a Qdrant Vector Store for similar documents. It extends the functionality of the `QdrantComponent` to provide efficient document retrieval based on similarity metrics.
+
+**Params**
+
+- **Search Type:** The type of search to perform (e.g., Similarity, MMR).
+
+- **Input Value:** The input value to search for.
+
+- **Embedding:** The embedding model used by Qdrant.
+
+- **API Key:** The API key for Qdrant (password field).
+
+- **Collection Name:** The name of the collection in Qdrant.
+
+- **Content Payload Key:** The key for the content payload in the documents (advanced).
+
+- **Distance Function:** The distance function to use in Qdrant (advanced).
+
+- **gRPC Port:** The gRPC port for Qdrant (advanced).
+
+- **Host:** The host for Qdrant (advanced).
+
+- **HTTPS:** Enable HTTPS for Qdrant (advanced).
+
+- **Location:** The location for Qdrant (advanced).
+
+- **Metadata Payload Key:** The key for the metadata payload in the documents (advanced).
+
+- **Path:** The path for Qdrant (advanced).
+
+- **Port:** The port for Qdrant (advanced).
+
+- **Prefer gRPC:** Prefer gRPC for Qdrant (advanced).
+
+- **Prefix:** The prefix for Qdrant (advanced).
+
+- **Search Kwargs:** Additional search keyword arguments for Qdrant (advanced).
+
+- **Timeout:** The timeout for Qdrant (advanced).
+
+- **URL:** The URL for Qdrant (advanced).
+
+---
+
+### Redis
+
+The `Redis` is a component for implementing a Vector Store using Redis. It provides functionality to store and retrieve vectors efficiently from a Redis database.
+
+**Params**
+
+- **Index Name:** The name of the index in Redis (default: your_index).
+
+- **Input:** The input data to build the Redis Vector Store (input types: Document, Record).
+
+- **Embedding:** The embedding model used by Redis.
+
+- **Schema:** The schema file (.yaml) to define the structure of the documents (optional).
+
+- **Redis Server Connection String:** The connection string for the Redis server.
+
+- **Redis Index:** The name of the Redis index (optional).
+
+For detailed documentation, please refer to the [Redis Documentation](https://python.langchain.com/docs/integrations/vectorstores/redis).
+
+
+
+ Ensure that the required Redis server connection URL and index name are properly configured. If no documents are provided, a schema must be provided.
+
+
+
+---
+
+### Redis Search
+
+The `RedisSearch` is a component for searching a Redis Vector Store for similar documents.
+
+**Params**
+
+- **Search Type:** The type of search to perform (e.g., Similarity, MMR).
+
+- **Input Value:** The input value to search for.
+
+- **Index Name:** The name of the index in Redis (default: your_index).
+
+- **Embedding:** The embedding model used by Redis.
+
+- **Schema:** The schema file (.yaml) to define the structure of the documents (optional).
+
+- **Redis Server Connection String:** The connection string for the Redis server.
+
+- **Redis Index:** The name of the Redis index (optional).
+
+---
+
+### Supabase
+
+The `Supabase` is a component for initializing a Supabase Vector Store from texts and embeddings.
+
+**Params**
+
+- **Input:** The input documents or records.
+
+- **Embedding:** The embedding model used by Supabase.
+
+- **Query Name:** The name of the query (optional).
+
+- **Search Kwargs:** Additional search keyword arguments for Supabase (advanced).
+
+- **Supabase Service Key:** The service key for Supabase.
+
+- **Supabase URL:** The URL for the Supabase instance.
+
+- **Table Name:** The name of the table in Supabase (advanced).
+
+
+
+ Ensure that the required Supabase service key, Supabase URL, and table name are properly configured.
+
+
+
+---
+
+### Supabase Search
+
+The `SupabaseSearch` is a component for searching a Supabase Vector Store for similar documents.
+
+**Params**
+
+- **Search Type:** The type of search to perform (e.g., Similarity, MMR).
+
+- **Input Value:** The input value to search for.
+
+- **Embedding:** The embedding model used by Supabase.
+
+- **Query Name:** The name of the query (optional).
+
+- **Search Kwargs:** Additional search keyword arguments for Supabase (advanced).
+
+- **Supabase Service Key:** The service key for Supabase.
+
+- **Supabase URL:** The URL for the Supabase instance.
+
+- **Table Name:** The name of the table in Supabase (advanced).
+
+---
+
+### Vectara
+
+The `Vectara` is a component for implementing a Vector Store using Vectara.
+
+**Params**
+
+- **Vectara Customer ID:** The customer ID for Vectara.
+
+- **Vectara Corpus ID:** The corpus ID for Vectara.
+
+- **Vectara API Key:** The API key for Vectara.
+
+- **Files Url:** The URL(s) of the file(s) to be used for initializing the Vectara Vector Store (optional).
+
+- **Input:** The input data to be upserted to the corpus (optional).
+
+For detailed documentation and integration guides, please refer to the [Vectara Component Documentation](https://python.langchain.com/docs/integrations/vectorstores/vectara).
+
+
+
+ If `inputs` are provided, they will be upserted to the corpus. If `files_url` are provided, Vectara will process the files from the URLs.
+
+
+
+---
+
+### Vectara Search
+
+The `VectaraSearch` is a component for searching a Vectara Vector Store for similar documents.
+
+**Params**
+
+- **Search Type:** The type of search to perform (e.g., Similarity, MMR).
+
+- **Input Value:** The input value to search for.
+
+- **Vectara Customer ID:** The customer ID for Vectara.
+
+- **Vectara Corpus ID:** The corpus ID for Vectara.
+
+- **Vectara API Key:** The API key for Vectara.
+
+- **Files Url:** The URL(s) of the file(s) to be used for initializing the Vectara Vector Store (optional).
+---
+
+### Weaviate
+
+The `Weaviate` is a component for implementing a Vector Store using Weaviate.
+
+**Params**
+
+- **Weaviate URL:** The URL of the Weaviate instance (default: http://localhost:8080).
+
+- **Search By Text:** Boolean indicating whether to search by text (default: False).
+
+- **API Key:** The API key for authentication (optional).
+
+- **Index name:** The name of the index in Weaviate (optional).
+
+- **Text Key:** The key used to extract text from documents (default: "text").
+
+- **Input:** The input document or record.
+
+- **Embedding:** The embedding model used by Weaviate.
+
+- **Attributes:** Additional attributes to consider during indexing (optional).
+
+For detailed documentation and integration guides, please refer to the [Weaviate Component Documentation](https://python.langchain.com/docs/integrations/vectorstores/weaviate).
+
+
+
+ Before using the Weaviate Vector Store component, ensure that you have a Weaviate instance running and accessible at the specified URL. Additionally, make sure to provide the correct API key for authentication if required. Adjust the index name, text key, and attributes according to your dataset and indexing requirements. Finally, ensure that the provided embeddings are compatible with Weaviate's requirements.
+
+
+
+---
+
+### Weaviate Search
+
+The `WeaviateSearch` component facilitates searching a Weaviate Vector Store for similar documents.
+
+**Params**
+
+- **Search Type:** The type of search to perform (e.g., Similarity, MMR).
+
+- **Input Value:** The input value to search for.
+
+- **Weaviate URL:** The URL of the Weaviate instance (default: http://localhost:8080).
+
+- **Search By Text:** Boolean indicating whether to search by text (default: False).
+
+- **API Key:** The API key for authentication (optional).
+
+- **Index name:** The name of the index in Weaviate (optional).
+
+- **Text Key:** The key used to extract text from documents (default: "text").
+
+- **Embedding:** The embedding model used by Weaviate.
+
+- **Attributes:** Additional attributes to consider during indexing (optional).
\ No newline at end of file
diff --git a/docs/docs/examples/flow-runner.mdx b/docs/docs/examples/flow-runner.mdx
index e20dc39f7..38466e4b3 100644
--- a/docs/docs/examples/flow-runner.mdx
+++ b/docs/docs/examples/flow-runner.mdx
@@ -3,8 +3,6 @@ description: Custom Components
hide_table_of_contents: true
---
-import ZoomableImage from "/src/theme/ZoomableImage.js";
-import Admonition from "@theme/Admonition";
# FlowRunner Component
@@ -35,7 +33,7 @@ We will cover how to:
Example Code
```python
-from langflow import CustomComponent
+from langflow.custom import CustomComponent
from langchain.schema import Document
class FlowRunner(CustomComponent):
@@ -75,7 +73,7 @@ class FlowRunner(CustomComponent):
```python
-from langflow import CustomComponent
+from langflow.custom import CustomComponent
class MyComponent(CustomComponent):
@@ -95,7 +93,7 @@ The typical structure of a Custom Component is composed of _`display_name`_ and
---
```python
-from langflow import CustomComponent
+from langflow.custom import CustomComponent
# focus
@@ -118,7 +116,7 @@ Let's start by defining our component's _`display_name`_ and _`description`_.
---
```python
-from langflow import CustomComponent
+from langflow.custom import CustomComponent
# focus
from langchain.schema import Document
@@ -140,7 +138,7 @@ Second, we will import _`Document`_ from the [_langchain.schema_](https://docs.l
---
```python
-from langflow import CustomComponent
+from langflow.custom import CustomComponent
# focus
from langchain.schema import Document
@@ -167,7 +165,7 @@ Now, let's add the [parameters](focus://11[20:55]) and the [return type](focus:/
---
```python focus=13:14
-from langflow import CustomComponent
+from langflow.custom import CustomComponent
from langchain.schema import Document
@@ -189,7 +187,7 @@ We can now start writing the _`build`_ method. Let's list available flows in "My
---
```python focus=15:18
-from langflow import CustomComponent
+from langflow.custom import CustomComponent
from langchain.schema import Document
@@ -222,7 +220,7 @@ And retrieve a flow that matches the selected name (we'll make a dropdown input
---
```python
-from langflow import CustomComponent
+from langflow.custom import CustomComponent
from langchain.schema import Document
@@ -250,7 +248,7 @@ You can load this flow using _`get_flow`_ and set a _`tweaks`_ dictionary to cus
---
```python
-from langflow import CustomComponent
+from langflow.custom import CustomComponent
from langchain.schema import Document
@@ -287,7 +285,7 @@ The content of a document can be extracted using the _`page_content`_ attribute,
---
```python focus=9:16
-from langflow import CustomComponent
+from langflow.custom import CustomComponent
from langchain.schema import Document
@@ -366,3 +364,7 @@ Done! This is what our script and custom component looks like:
/>
+
+import ZoomableImage from "/src/theme/ZoomableImage.js";
+import Admonition from "@theme/Admonition";
+
diff --git a/docs/docs/guidelines/custom-component.mdx b/docs/docs/guidelines/custom-component.mdx
index 99106d400..65e505d2e 100644
--- a/docs/docs/guidelines/custom-component.mdx
+++ b/docs/docs/guidelines/custom-component.mdx
@@ -30,7 +30,7 @@ Here is an example:
```python
-from langflow import CustomComponent
+from langflow.custom import CustomComponent
from langchain.schema import Document
class DocumentProcessor(CustomComponent):
@@ -92,7 +92,7 @@ The Python script for every Custom Component should follow a set of rules. Let's
The script must contain a **single class** that inherits from _`CustomComponent`_.
```python
-from langflow import CustomComponent
+from langflow.custom import CustomComponent
from langchain.schema import Document
class MyComponent(CustomComponent):
@@ -113,7 +113,7 @@ class MyComponent(CustomComponent):
This class requires a _`build`_ method used to run the component and define its fields.
```python
-from langflow import CustomComponent
+from langflow.custom import CustomComponent
from langchain.schema import Document
class MyComponent(CustomComponent):
@@ -134,7 +134,7 @@ class MyComponent(CustomComponent):
The [Return Type Annotation](https://docs.python.org/3/library/typing.html) of the _`build`_ method defines the component type (e.g., Chain, BaseLLM, or basic Python types). Check out all supported types in the [component reference](../components/custom).
```python
-from langflow import CustomComponent
+from langflow.custom import CustomComponent
from langchain.schema import Document
class MyComponent(CustomComponent):
@@ -153,7 +153,7 @@ class MyComponent(CustomComponent):
---
```python
-from langflow import CustomComponent
+from langflow.custom import CustomComponent
from langchain.schema import Document
class MyComponent(CustomComponent):
@@ -179,7 +179,7 @@ Check out the [component reference](../components/custom) for more details on th
---
```python
-from langflow import CustomComponent
+from langflow.custom import CustomComponent
from langchain.schema import Document
class MyComponent(CustomComponent):
@@ -204,7 +204,7 @@ Let's create a custom component that processes a document (_`langchain.schema.Do
To start, let's choose a name for our component by adding a _`display_name`_ attribute. This name will appear on the canvas. The name of the class is not relevant, but let's call it _`DocumentProcessor`_.
```python
-from langflow import CustomComponent
+from langflow.custom import CustomComponent
from langchain.schema import Document
# focus
@@ -227,7 +227,7 @@ class DocumentProcessor(CustomComponent):
We can also write a description for it using a _`description`_ attribute.
```python
-from langflow import CustomComponent
+from langflow.custom import CustomComponent
from langchain.schema import Document
class DocumentProcessor(CustomComponent):
@@ -244,7 +244,7 @@ class DocumentProcessor(CustomComponent):
---
```python
-from langflow import CustomComponent
+from langflow.custom import CustomComponent
from langchain.schema import Document
class DocumentProcessor(CustomComponent):
@@ -287,7 +287,7 @@ The _`build_config`_ method is here defined to customize the component fields.
- _`display_name`_ is the name of the field to be displayed.
```python
-from langflow import CustomComponent
+from langflow.custom import CustomComponent
from langchain.schema import Document
class DocumentProcessor(CustomComponent):
@@ -406,4 +406,6 @@ Langflow will attempt to load all of the components found in the specified direc
Once your custom components have been loaded successfully, they will appear in Langflow's sidebar. From there, you can add them to your Langflow canvas for use. However, please note that components with errors will not be available for addition to the canvas. Always ensure your code is error-free before attempting to load components.
-Remember, creating custom components allows you to extend the functionality of Langflow to better suit your unique needs. Happy coding!
+Remember, creating custom components allows you to extend the functionality of Langflow to better suit your unique needs. Happy coding!import ZoomableImage from "/src/theme/ZoomableImage.js";
+import Admonition from "@theme/Admonition";
+
diff --git a/docs/docs/guidelines/features.mdx b/docs/docs/guidelines/features.mdx
index 19837430d..46913a093 100644
--- a/docs/docs/guidelines/features.mdx
+++ b/docs/docs/guidelines/features.mdx
@@ -1,8 +1,3 @@
-import ThemedImage from "@theme/ThemedImage";
-import useBaseUrl from "@docusaurus/useBaseUrl";
-import ZoomableImage from "/src/theme/ZoomableImage.js";
-import ReactPlayer from "react-player";
-import Admonition from "@theme/Admonition";
# Features
@@ -49,7 +44,7 @@ The Code button shows snippets to use your flow as a Python object or an API.
Through the Langflow package, you can load a flow from a JSON file and use it as a LangChain object.
```py
-from langflow import load_flow_from_json
+from langflow.load import load_flow_from_json
flow = load_flow_from_json("path/to/flow.json")
# Now you can use it like any chain
@@ -67,3 +62,10 @@ The example below shows a Python script making a POST request to a local API end
>
+
+
+import ThemedImage from "@theme/ThemedImage";
+import useBaseUrl from "@docusaurus/useBaseUrl";
+import ZoomableImage from "/src/theme/ZoomableImage.js";
+import ReactPlayer from "react-player";
+import Admonition from "@theme/Admonition";
diff --git a/src/backend/langflow/base/__init__.py b/docs/docs/guides/compatibility.mdx
similarity index 100%
rename from src/backend/langflow/base/__init__.py
rename to docs/docs/guides/compatibility.mdx
diff --git a/src/backend/langflow/base/data/__init__.py b/docs/docs/guides/component-status-and-data-passing.mdx
similarity index 100%
rename from src/backend/langflow/base/data/__init__.py
rename to docs/docs/guides/component-status-and-data-passing.mdx
diff --git a/src/backend/langflow/base/io/__init__.py b/docs/docs/guides/connecting-output-components.mdx
similarity index 100%
rename from src/backend/langflow/base/io/__init__.py
rename to docs/docs/guides/connecting-output-components.mdx
diff --git a/src/backend/langflow/base/prompts/__init__.py b/docs/docs/guides/custom-component.mdx
similarity index 100%
rename from src/backend/langflow/base/prompts/__init__.py
rename to docs/docs/guides/custom-component.mdx
diff --git a/src/backend/langflow/components/documentloaders/__init__.py b/docs/docs/guides/experimental-components.mdx
similarity index 100%
rename from src/backend/langflow/components/documentloaders/__init__.py
rename to docs/docs/guides/experimental-components.mdx
diff --git a/src/backend/langflow/components/memories/__init__.py b/docs/docs/guides/flow-of-data.mdx
similarity index 100%
rename from src/backend/langflow/components/memories/__init__.py
rename to docs/docs/guides/flow-of-data.mdx
diff --git a/src/backend/langflow/components/tools/__init__.py b/docs/docs/guides/global-variables.mdx
similarity index 100%
rename from src/backend/langflow/components/tools/__init__.py
rename to docs/docs/guides/global-variables.mdx
diff --git a/docs/docs/guides/inputs-and-outputs.mdx b/docs/docs/guides/inputs-and-outputs.mdx
new file mode 100644
index 000000000..9e514437e
--- /dev/null
+++ b/docs/docs/guides/inputs-and-outputs.mdx
@@ -0,0 +1,32 @@
+# Inputs and Outputs
+
+TL;DR: Inputs and Outputs are a category of components that are used to define where data comes in and out of your flow. They also
+dynamically change the Interaction Panel and can be renamed to make it easier to build and maintain your flows.
+
+## Introduction
+
+Langflow 1.0 introduces new categories of components called Inputs and Outputs. They are used to make it easier to understand and interact with your flows.
+
+Let's take a look at the what they are and how they work.
+
+## Inputs
+
+Some Input components output Text, others Record, and others both (you pick). They can be used to input data into any field that accepts Text or Record data.
+
+{/* Show pictures of Chat Input into Prompt and Chat Input into File Path in a file loader component */}
+
+As with all components, they can be renamed to help you identify them more easily in the Interaction Panel and while using the API.
+
+{/* Show picture of renaming a Chat Input component and the Interaction Panel */}
+
+The difference between Chat Input and other Input components is the format of the output, the number of configurable fields, and the way they are displayed in the Interaction Panel.
+
+Chat Input components can output Text or Record. When you want to pass the sender name, or sender to the next component, you can use the Record output, and when you want to pass the message only you can use the Text output. This is useful when saving the message to a database or a memory system like Zep.
+
+You can find out more about it and the other Inputs [here](../components/inputs).
+
+## Outputs
+
+Some Output components output Text, others Record, and others both (you pick), just like the Inputs. They can be used to output data from any field that outputs Text or Record data.
+
+{/* Show pictures of Prompt into Chat Output and File Path in a file loader component into Chat Output */}
diff --git a/src/backend/langflow/core/__init__.py b/docs/docs/guides/multiple-flows.mdx
similarity index 100%
rename from src/backend/langflow/core/__init__.py
rename to docs/docs/guides/multiple-flows.mdx
diff --git a/src/backend/langflow/custom/__init__.py b/docs/docs/guides/new-categories-and-components.mdx
similarity index 100%
rename from src/backend/langflow/custom/__init__.py
rename to docs/docs/guides/new-categories-and-components.mdx
diff --git a/src/backend/langflow/graph/edge/__init__.py b/docs/docs/guides/passing-tweaks-and-inputs.mdx
similarity index 100%
rename from src/backend/langflow/graph/edge/__init__.py
rename to docs/docs/guides/passing-tweaks-and-inputs.mdx
diff --git a/src/backend/langflow/graph/graph/__init__.py b/docs/docs/guides/renaming-and-editing-components.mdx
similarity index 100%
rename from src/backend/langflow/graph/graph/__init__.py
rename to docs/docs/guides/renaming-and-editing-components.mdx
diff --git a/src/backend/langflow/graph/vertex/__init__.py b/docs/docs/guides/run-flow.mdx
similarity index 100%
rename from src/backend/langflow/graph/vertex/__init__.py
rename to docs/docs/guides/run-flow.mdx
diff --git a/src/backend/langflow/initial_setup/__init__.py b/docs/docs/guides/sidebar-and-interaction-panel.mdx
similarity index 100%
rename from src/backend/langflow/initial_setup/__init__.py
rename to docs/docs/guides/sidebar-and-interaction-panel.mdx
diff --git a/src/backend/langflow/interface/__init__.py b/docs/docs/guides/state-management.mdx
similarity index 100%
rename from src/backend/langflow/interface/__init__.py
rename to docs/docs/guides/state-management.mdx
diff --git a/src/backend/langflow/interface/document_loaders/__init__.py b/docs/docs/guides/supported-frameworks.mdx
similarity index 100%
rename from src/backend/langflow/interface/document_loaders/__init__.py
rename to docs/docs/guides/supported-frameworks.mdx
diff --git a/src/backend/langflow/interface/embeddings/__init__.py b/docs/docs/guides/text-and-record.mdx
similarity index 100%
rename from src/backend/langflow/interface/embeddings/__init__.py
rename to docs/docs/guides/text-and-record.mdx
diff --git a/docs/docs/whats-new/customization-control.mdx b/docs/docs/whats-new/customization-control.mdx
new file mode 100644
index 000000000..11f23f53c
--- /dev/null
+++ b/docs/docs/whats-new/customization-control.mdx
@@ -0,0 +1 @@
+# A New Customization and Control
\ No newline at end of file
diff --git a/docs/docs/whats-new/debugging-reimagined.mdx b/docs/docs/whats-new/debugging-reimagined.mdx
new file mode 100644
index 000000000..d30234088
--- /dev/null
+++ b/docs/docs/whats-new/debugging-reimagined.mdx
@@ -0,0 +1 @@
+# Debugging Reimagined
\ No newline at end of file
diff --git a/docs/docs/whats-new/migrating-to-one-point-zero.mdx b/docs/docs/whats-new/migrating-to-one-point-zero.mdx
new file mode 100644
index 000000000..835dadfa1
--- /dev/null
+++ b/docs/docs/whats-new/migrating-to-one-point-zero.mdx
@@ -0,0 +1,124 @@
+# Migrating to Langflow 1.0: A Guide
+
+Langflow 1.0 is a significant update that brings many exciting changes and improvements to the platform. This guide will walk you through the key differences and help you migrate your existing projects to the new version.
+
+If you have any questions or need assistance during the migration process, please don't hesitate to reach out to in our [Discord](https://discord.gg/wZSWQaukgJ) or [GitHub](https://github.com/logspace-ai/langflow/issues) community.
+
+We have a special channel
+
+## TLDR;
+
+- Inputs and Outputs of Components have changed
+- The composition model has been replaced with a flow of data
+- Continued support for LangChain and new support for multiple frameworks
+- Redesigned sidebar and customizable interaction panel
+- New Native Categories and Components
+- Improved user experience with Text and Record modes
+- CustomComponent for all components
+- Compatibility with previous versions using Runnable Executor
+- Multiple flows in the canvas
+- Improved component status
+- Ability to connect Output components to any other Component
+- Rename and edit component descriptions
+- Pass tweaks and inputs in the API using Display Name
+- Global Variables for Text Fields
+- Experimental components like SubFlow and Flow as Tool
+- Experimental State Management system with Notify and Listen components
+
+## Inputs and Outputs of Components
+
+Langflow 1.0 introduces adds the concept of Inputs and Outputs to flows, allowing clear definition of the data flow between components. Discover how to use Inputs and Outputs to pass data between components and create more dynamic flows.
+
+[Learn more about Inputs and Outputs of Components](../guides/inputs-and-outputs)
+
+## From Composition to Freedom
+
+Even though composition is still possible in Langflow 1.0, the new standard is getting data moving through the flow. This allows for more flexibility and control over the data flow in your projects. Check out how to use this in new and existing projects.
+
+[Learn more about the Flow of Data](../guides/flow-of-data)
+
+## Continued Support for LangChain and Multiple Frameworks
+
+Langflow 1.0 continues to support LangChain while also introducing support for multiple frameworks. This is another important boon that adding the paradigm of data flow brings to the table. Find out how to leverage the power of different frameworks in your projects.
+
+[Learn more about Supported Frameworks](../guides/supported-frameworks)
+
+## Sidebar Redesign and Customizable Interaction Panel
+
+We've expanded on the chat experience by creating a customizable interaction panel that allows you to design a panel that fits your needs and interact with it. The sidebar has also been redesigned to provide a more intuitive and user-friendly experience. Explore the new sidebar and interaction panel features to enhance your workflow.
+
+[Learn more about some of the UI updates](../guides/sidebar-and-interaction-panel)
+
+## New Native Categories and Components
+
+Langflow 1.0 introduces many new native categories, including Inputs, Outputs, Helpers, Experimental, Models, and more. Discover the new components available, such as Chat Input, Prompt, Files, API Request, and others.
+
+[Learn more about New Categories and Components](../guides/new-categories-and-components)
+
+## New Way of Using Langflow: Text and Record (and more to come)
+
+With the introduction of Text and Record types connections between Components are more intuitive and easier to understand. This is the first step in a series of improvements to the way you interact with Langflow. Learn how to use Text, and Record and how they help you build better flows.
+
+[Learn more about Text and Record](../guides/text-and-record)
+
+## CustomComponent for All Components
+
+Almost all components in Langflow 1.0 are now CustomComponents, allowing you to check and modify the code of each component. Discover how to leverage this feature to customize your components to your specific needs.
+
+[Learn more about CustomComponent](../guides/custom-component)
+
+## Compatibility with Previous Versions
+
+To use flows built in previous versions of Langflow, you can utilize the experimental component Runnable Executor along with an Input and Output. **We'd love your feedback on this**. Learn how to adapt your existing flows to work seamlessly in the new version of Langflow.
+
+[Learn more about Compatibility with Previous Versions](../guides/compatibility)
+
+## Multiple Flows in the Canvas
+
+Langflow 1.0 allows you to have more than one flow in the canvas and run them separately. Discover how to create and manage multiple flows within a single project.
+
+[Learn more about Multiple Flows](../guides/multiple-flows)
+
+## Improved Component Status
+
+Each component now displays its status more clearly, allowing you to quickly identify any issues or errors. Explore how to use the new component status feature to troubleshoot and optimize your flows.
+
+[Learn more about Component Status](../guides/component-status-and-data-passing)
+
+## Connecting Output Components
+
+You can now connect Output components to any other component (that has a Text output), providing a better understanding of the data flow. Explore the possibilities of connecting Output components and how it enhances your flow's functionality.
+
+[Learn more about Connecting Output Components](../guides/connecting-output-components)
+
+## Renaming and Editing Component Descriptions
+
+Langflow 1.0 allows you to rename and edit the description of each component, making it easier to understand and interact with the flow. Learn how to customize your component names and descriptions for improved clarity.
+
+[Learn more about Renaming and Editing Components](../guides/renaming-and-editing-components)
+
+## Passing Tweaks and Inputs in the API
+
+Things got a whole lot easier. You can now pass tweaks and inputs in the API by referencing the Display Name of the component. Discover how to leverage this feature to dynamically control your flow's behavior.
+
+[Learn more about Passing Tweaks and Inputs](../guides/passing-tweaks-and-inputs)
+
+## Global Variables for Text Fields
+
+Global Variables can be used in any Text Field across your projects. Learn how to define and utilize Global Variables to streamline your workflow.
+
+[Learn more about Global Variables](../guides/global-variables)
+
+## Experimental Components
+
+Explore the experimental components available in Langflow 1.0, such as SubFlow, which allows you to load a flow as a component dynamically, and Flow as Tool, which enables you to use a flow as a tool for an Agent.
+
+[Learn more about Experimental Components](../guides/experimental-components)
+
+## Experimental State Management System
+
+We are experimenting with a State Management system for flows that allows components to trigger other components and pass messages between them using the Notify and Listen components. Discover how to leverage this system to create more dynamic and interactive flows.
+
+[Learn more about State Management](../guides/state-management)
+
+We hope this guide helps you navigate the changes and improvements in Langflow 1.0. If you have any questions or need further assistance, please don't hesitate to reach out to us in our [Discord](https://discord.gg/wZSWQaukgJ).
\ No newline at end of file
diff --git a/docs/docs/whats-new/simplification-standardization.mdx b/docs/docs/whats-new/simplification-standardization.mdx
new file mode 100644
index 000000000..f7e3115bc
--- /dev/null
+++ b/docs/docs/whats-new/simplification-standardization.mdx
@@ -0,0 +1 @@
+# Simplification Through Standardization
\ No newline at end of file
diff --git a/docs/package-lock.json b/docs/package-lock.json
index 6742b89e7..f00d7c283 100644
--- a/docs/package-lock.json
+++ b/docs/package-lock.json
@@ -10,10 +10,10 @@
"dependencies": {
"@babel/preset-react": "^7.22.3",
"@code-hike/mdx": "^0.9.0",
- "@docusaurus/core": "3.0.1",
- "@docusaurus/plugin-ideal-image": "^3.0.1",
- "@docusaurus/preset-classic": "3.0.1",
- "@docusaurus/theme-classic": "^3.0.1",
+ "@docusaurus/core": "^3.1.1",
+ "@docusaurus/plugin-ideal-image": "^3.1.1",
+ "@docusaurus/preset-classic": "^3.1.1",
+ "@docusaurus/theme-classic": "^3.1.1",
"@docusaurus/theme-search-algolia": "^3.0.1",
"@mdx-js/react": "^2.3.0",
"@mendable/search": "^0.0.154",
@@ -2069,9 +2069,9 @@
}
},
"node_modules/@docusaurus/core": {
- "version": "3.0.1",
- "resolved": "https://registry.npmjs.org/@docusaurus/core/-/core-3.0.1.tgz",
- "integrity": "sha512-CXrLpOnW+dJdSv8M5FAJ3JBwXtL6mhUWxFA8aS0ozK6jBG/wgxERk5uvH28fCeFxOGbAT9v1e9dOMo1X2IEVhQ==",
+ "version": "3.1.1",
+ "resolved": "https://registry.npmjs.org/@docusaurus/core/-/core-3.1.1.tgz",
+ "integrity": "sha512-2nQfKFcf+MLEM7JXsXwQxPOmQAR6ytKMZVSx7tVi9HEm9WtfwBH1fp6bn8Gj4zLUhjWKCLoysQ9/Wm+EZCQ4yQ==",
"dependencies": {
"@babel/core": "^7.23.3",
"@babel/generator": "^7.23.3",
@@ -2083,13 +2083,13 @@
"@babel/runtime": "^7.22.6",
"@babel/runtime-corejs3": "^7.22.6",
"@babel/traverse": "^7.22.8",
- "@docusaurus/cssnano-preset": "3.0.1",
- "@docusaurus/logger": "3.0.1",
- "@docusaurus/mdx-loader": "3.0.1",
+ "@docusaurus/cssnano-preset": "3.1.1",
+ "@docusaurus/logger": "3.1.1",
+ "@docusaurus/mdx-loader": "3.1.1",
"@docusaurus/react-loadable": "5.5.2",
- "@docusaurus/utils": "3.0.1",
- "@docusaurus/utils-common": "3.0.1",
- "@docusaurus/utils-validation": "3.0.1",
+ "@docusaurus/utils": "3.1.1",
+ "@docusaurus/utils-common": "3.1.1",
+ "@docusaurus/utils-validation": "3.1.1",
"@slorber/static-site-generator-webpack-plugin": "^4.0.7",
"@svgr/webpack": "^6.5.1",
"autoprefixer": "^10.4.14",
@@ -2249,9 +2249,9 @@
"integrity": "sha512-3wdGidZyq5PB084XLES5TpOSRA3wjXAlIWMhum2kRcv/41Sn2emQ0dycQW4uZXLejwKvg6EsvbdlVL+FYEct7A=="
},
"node_modules/@docusaurus/cssnano-preset": {
- "version": "3.0.1",
- "resolved": "https://registry.npmjs.org/@docusaurus/cssnano-preset/-/cssnano-preset-3.0.1.tgz",
- "integrity": "sha512-wjuXzkHMW+ig4BD6Ya1Yevx9UJadO4smNZCEljqBoQfIQrQskTswBs7lZ8InHP7mCt273a/y/rm36EZhqJhknQ==",
+ "version": "3.1.1",
+ "resolved": "https://registry.npmjs.org/@docusaurus/cssnano-preset/-/cssnano-preset-3.1.1.tgz",
+ "integrity": "sha512-LnoIDjJWbirdbVZDMq+4hwmrTl2yHDnBf9MLG9qyExeAE3ac35s4yUhJI8yyTCdixzNfKit4cbXblzzqMu4+8g==",
"dependencies": {
"cssnano-preset-advanced": "^5.3.10",
"postcss": "^8.4.26",
@@ -2263,9 +2263,9 @@
}
},
"node_modules/@docusaurus/logger": {
- "version": "3.0.1",
- "resolved": "https://registry.npmjs.org/@docusaurus/logger/-/logger-3.0.1.tgz",
- "integrity": "sha512-I5L6Nk8OJzkVA91O2uftmo71LBSxe1vmOn9AMR6JRCzYeEBrqneWMH02AqMvjJ2NpMiviO+t0CyPjyYV7nxCWQ==",
+ "version": "3.1.1",
+ "resolved": "https://registry.npmjs.org/@docusaurus/logger/-/logger-3.1.1.tgz",
+ "integrity": "sha512-BjkNDpQzewcTnST8trx4idSoAla6zZ3w22NqM/UMcFtvYJgmoE4layuTzlfql3VFPNuivvj7BOExa/+21y4X2Q==",
"dependencies": {
"chalk": "^4.1.2",
"tslib": "^2.6.0"
@@ -2339,11 +2339,11 @@
}
},
"node_modules/@docusaurus/lqip-loader": {
- "version": "3.0.1",
- "resolved": "https://registry.npmjs.org/@docusaurus/lqip-loader/-/lqip-loader-3.0.1.tgz",
- "integrity": "sha512-hFSu8ltYo0ZnWBWmjMhSprOr6nNKG01YdMDxH/hahBfyaNDCkZU4o7mQNgUW845lvYdp6bhjyW31WJwBjOnLqw==",
+ "version": "3.1.1",
+ "resolved": "https://registry.npmjs.org/@docusaurus/lqip-loader/-/lqip-loader-3.1.1.tgz",
+ "integrity": "sha512-s06lySAX5ghCiQe0+/GaMWcVvgkBQ6U8p182fW+JbdjxABS8ecx2in2AQJbvrwKNgiMjOhsXiaE6BmbQAmT6nw==",
"dependencies": {
- "@docusaurus/logger": "3.0.1",
+ "@docusaurus/logger": "3.1.1",
"file-loader": "^6.2.0",
"lodash": "^4.17.21",
"sharp": "^0.32.3",
@@ -2354,15 +2354,15 @@
}
},
"node_modules/@docusaurus/mdx-loader": {
- "version": "3.0.1",
- "resolved": "https://registry.npmjs.org/@docusaurus/mdx-loader/-/mdx-loader-3.0.1.tgz",
- "integrity": "sha512-ldnTmvnvlrONUq45oKESrpy+lXtbnTcTsFkOTIDswe5xx5iWJjt6eSa0f99ZaWlnm24mlojcIGoUWNCS53qVlQ==",
+ "version": "3.1.1",
+ "resolved": "https://registry.npmjs.org/@docusaurus/mdx-loader/-/mdx-loader-3.1.1.tgz",
+ "integrity": "sha512-xN2IccH9+sv7TmxwsDJNS97BHdmlqWwho+kIVY4tcCXkp+k4QuzvWBeunIMzeayY4Fu13A6sAjHGv5qm72KyGA==",
"dependencies": {
"@babel/parser": "^7.22.7",
"@babel/traverse": "^7.22.8",
- "@docusaurus/logger": "3.0.1",
- "@docusaurus/utils": "3.0.1",
- "@docusaurus/utils-validation": "3.0.1",
+ "@docusaurus/logger": "3.1.1",
+ "@docusaurus/utils": "3.1.1",
+ "@docusaurus/utils-validation": "3.1.1",
"@mdx-js/mdx": "^3.0.0",
"@slorber/remark-comment": "^1.0.0",
"escape-html": "^1.0.3",
@@ -2434,17 +2434,17 @@
}
},
"node_modules/@docusaurus/plugin-content-blog": {
- "version": "3.0.1",
- "resolved": "https://registry.npmjs.org/@docusaurus/plugin-content-blog/-/plugin-content-blog-3.0.1.tgz",
- "integrity": "sha512-cLOvtvAyaMQFLI8vm4j26svg3ktxMPSXpuUJ7EERKoGbfpJSsgtowNHcRsaBVmfuCsRSk1HZ/yHBsUkTmHFEsg==",
+ "version": "3.1.1",
+ "resolved": "https://registry.npmjs.org/@docusaurus/plugin-content-blog/-/plugin-content-blog-3.1.1.tgz",
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+ "resolved": "https://registry.npmjs.org/@docusaurus/module-type-aliases/-/module-type-aliases-3.1.1.tgz",
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@@ -2513,15 +2513,15 @@
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+ "resolved": "https://registry.npmjs.org/@docusaurus/plugin-content-pages/-/plugin-content-pages-3.1.1.tgz",
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@@ -2535,13 +2535,13 @@
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+ "resolved": "https://registry.npmjs.org/@docusaurus/plugin-debug/-/plugin-debug-3.1.1.tgz",
+ "integrity": "sha512-xWeMkueM9wE/8LVvl4+Qf1WqwXmreMjI5Kgr7GYCDoJ8zu4kD+KaMhrh7py7MNM38IFvU1RfrGKacCEe2DRRfQ==",
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@@ -2555,13 +2555,13 @@
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+ "resolved": "https://registry.npmjs.org/@docusaurus/plugin-google-analytics/-/plugin-google-analytics-3.1.1.tgz",
+ "integrity": "sha512-+q2UpWTqVi8GdlLoSlD5bS/YpxW+QMoBwrPrUH/NpvpuOi0Of7MTotsQf9JWd3hymZxl2uu1o3PIrbpxfeDFDQ==",
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@@ -2573,13 +2573,13 @@
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+ "resolved": "https://registry.npmjs.org/@docusaurus/plugin-google-gtag/-/plugin-google-gtag-3.1.1.tgz",
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@@ -2592,13 +2592,13 @@
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+ "version": "3.1.1",
+ "resolved": "https://registry.npmjs.org/@docusaurus/plugin-google-tag-manager/-/plugin-google-tag-manager-3.1.1.tgz",
+ "integrity": "sha512-d07bsrMLdDIryDtY17DgqYUbjkswZQr8cLWl4tzXrt5OR/T/zxC1SYKajzB3fd87zTu5W5klV5GmUwcNSMXQXA==",
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@@ -2610,16 +2610,16 @@
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+ "version": "3.1.1",
+ "resolved": "https://registry.npmjs.org/@docusaurus/plugin-ideal-image/-/plugin-ideal-image-3.1.1.tgz",
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- "@docusaurus/lqip-loader": "3.0.1",
+ "@docusaurus/core": "3.1.1",
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@@ -2641,16 +2641,16 @@
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+ "version": "3.1.1",
+ "resolved": "https://registry.npmjs.org/@docusaurus/plugin-sitemap/-/plugin-sitemap-3.1.1.tgz",
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@@ -2664,23 +2664,23 @@
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+ "version": "3.1.1",
+ "resolved": "https://registry.npmjs.org/@docusaurus/preset-classic/-/preset-classic-3.1.1.tgz",
+ "integrity": "sha512-jG4ys/hWYf69iaN/xOmF+3kjs4Nnz1Ay3CjFLDtYa8KdxbmUhArA9HmP26ru5N0wbVWhY+6kmpYhTJpez5wTyg==",
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@@ -2726,22 +2726,22 @@
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@@ -2765,12 +2765,12 @@
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+ "version": "3.1.1",
+ "resolved": "https://registry.npmjs.org/@docusaurus/module-type-aliases/-/module-type-aliases-3.1.1.tgz",
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+ "@docusaurus/types": "3.1.1",
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@@ -2784,9 +2784,9 @@
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+ "version": "3.0.1",
+ "resolved": "https://registry.npmjs.org/@mdx-js/react/-/react-3.0.1.tgz",
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@@ -2800,9 +2800,9 @@
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+ "version": "2.1.0",
+ "resolved": "https://registry.npmjs.org/clsx/-/clsx-2.1.0.tgz",
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@@ -2820,17 +2820,17 @@
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+ "version": "3.1.1",
+ "resolved": "https://registry.npmjs.org/@docusaurus/theme-common/-/theme-common-3.1.1.tgz",
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@@ -2849,12 +2849,12 @@
}
},
"node_modules/@docusaurus/theme-common/node_modules/@docusaurus/module-type-aliases": {
- "version": "3.0.1",
- "resolved": "https://registry.npmjs.org/@docusaurus/module-type-aliases/-/module-type-aliases-3.0.1.tgz",
- "integrity": "sha512-DEHpeqUDsLynl3AhQQiO7AbC7/z/lBra34jTcdYuvp9eGm01pfH1wTVq8YqWZq6Jyx0BgcVl/VJqtE9StRd9Ag==",
+ "version": "3.1.1",
+ "resolved": "https://registry.npmjs.org/@docusaurus/module-type-aliases/-/module-type-aliases-3.1.1.tgz",
+ "integrity": "sha512-xBJyx0TMfAfVZ9ZeIOb1awdXgR4YJMocIEzTps91rq+hJDFJgJaylDtmoRhUxkwuYmNK1GJpW95b7DLztSBJ3A==",
"dependencies": {
"@docusaurus/react-loadable": "5.5.2",
- "@docusaurus/types": "3.0.1",
+ "@docusaurus/types": "3.1.1",
"@types/history": "^4.7.11",
"@types/react": "*",
"@types/react-router-config": "*",
@@ -2868,9 +2868,9 @@
}
},
"node_modules/@docusaurus/theme-common/node_modules/clsx": {
- "version": "2.0.0",
- "resolved": "https://registry.npmjs.org/clsx/-/clsx-2.0.0.tgz",
- "integrity": "sha512-rQ1+kcj+ttHG0MKVGBUXwayCCF1oh39BF5COIpRzuCEv8Mwjv0XucrI2ExNTOn9IlLifGClWQcU9BrZORvtw6Q==",
+ "version": "2.1.0",
+ "resolved": "https://registry.npmjs.org/clsx/-/clsx-2.1.0.tgz",
+ "integrity": "sha512-m3iNNWpd9rl3jvvcBnu70ylMdrXt8Vlq4HYadnU5fwcOtvkSQWPmj7amUcDT2qYI7risszBjI5AUIUox9D16pg==",
"engines": {
"node": ">=6"
}
@@ -2888,18 +2888,18 @@
}
},
"node_modules/@docusaurus/theme-search-algolia": {
- "version": "3.0.1",
- "resolved": "https://registry.npmjs.org/@docusaurus/theme-search-algolia/-/theme-search-algolia-3.0.1.tgz",
- "integrity": "sha512-DDiPc0/xmKSEdwFkXNf1/vH1SzJPzuJBar8kMcBbDAZk/SAmo/4lf6GU2drou4Ae60lN2waix+jYWTWcJRahSA==",
+ "version": "3.1.1",
+ "resolved": "https://registry.npmjs.org/@docusaurus/theme-search-algolia/-/theme-search-algolia-3.1.1.tgz",
+ "integrity": "sha512-tBH9VY5EpRctVdaAhT+b1BY8y5dyHVZGFXyCHgTrvcXQy5CV4q7serEX7U3SveNT9zksmchPyct6i1sFDC4Z5g==",
"dependencies": {
"@docsearch/react": "^3.5.2",
- "@docusaurus/core": "3.0.1",
- "@docusaurus/logger": "3.0.1",
- "@docusaurus/plugin-content-docs": "3.0.1",
- "@docusaurus/theme-common": "3.0.1",
- "@docusaurus/theme-translations": "3.0.1",
- "@docusaurus/utils": "3.0.1",
- "@docusaurus/utils-validation": "3.0.1",
+ "@docusaurus/core": "3.1.1",
+ "@docusaurus/logger": "3.1.1",
+ "@docusaurus/plugin-content-docs": "3.1.1",
+ "@docusaurus/theme-common": "3.1.1",
+ "@docusaurus/theme-translations": "3.1.1",
+ "@docusaurus/utils": "3.1.1",
+ "@docusaurus/utils-validation": "3.1.1",
"algoliasearch": "^4.18.0",
"algoliasearch-helper": "^3.13.3",
"clsx": "^2.0.0",
@@ -2926,9 +2926,9 @@
}
},
"node_modules/@docusaurus/theme-translations": {
- "version": "3.0.1",
- "resolved": "https://registry.npmjs.org/@docusaurus/theme-translations/-/theme-translations-3.0.1.tgz",
- "integrity": "sha512-6UrbpzCTN6NIJnAtZ6Ne9492vmPVX+7Fsz4kmp+yor3KQwA1+MCzQP7ItDNkP38UmVLnvB/cYk/IvehCUqS3dg==",
+ "version": "3.1.1",
+ "resolved": "https://registry.npmjs.org/@docusaurus/theme-translations/-/theme-translations-3.1.1.tgz",
+ "integrity": "sha512-xvWQFwjxHphpJq5fgk37FXCDdAa2o+r7FX8IpMg+bGZBNXyWBu3MjZ+G4+eUVNpDhVinTc+j6ucL0Ain5KCGrg==",
"dependencies": {
"fs-extra": "^11.1.1",
"tslib": "^2.6.0"
@@ -2938,10 +2938,11 @@
}
},
"node_modules/@docusaurus/types": {
- "version": "3.0.1",
- "resolved": "https://registry.npmjs.org/@docusaurus/types/-/types-3.0.1.tgz",
- "integrity": "sha512-plyX2iU1tcUsF46uQ01pAd4JhexR7n0iiQ5MSnBFX6M6NSJgDYdru/i1/YNPKOnQHBoXGLHv0dNT6OAlDWNjrg==",
+ "version": "3.1.1",
+ "resolved": "https://registry.npmjs.org/@docusaurus/types/-/types-3.1.1.tgz",
+ "integrity": "sha512-grBqOLnubUecgKFXN9q3uit2HFbCxTWX4Fam3ZFbMN0sWX9wOcDoA7lwdX/8AmeL20Oc4kQvWVgNrsT8bKRvzg==",
"dependencies": {
+ "@mdx-js/mdx": "^3.0.0",
"@types/history": "^4.7.11",
"@types/react": "*",
"commander": "^5.1.0",
@@ -2957,11 +2958,11 @@
}
},
"node_modules/@docusaurus/utils": {
- "version": "3.0.1",
- "resolved": "https://registry.npmjs.org/@docusaurus/utils/-/utils-3.0.1.tgz",
- "integrity": "sha512-TwZ33Am0q4IIbvjhUOs+zpjtD/mXNmLmEgeTGuRq01QzulLHuPhaBTTAC/DHu6kFx3wDgmgpAlaRuCHfTcXv8g==",
+ "version": "3.1.1",
+ "resolved": "https://registry.npmjs.org/@docusaurus/utils/-/utils-3.1.1.tgz",
+ "integrity": "sha512-ZJfJa5cJQtRYtqijsPEnAZoduW6sjAQ7ZCWSZavLcV10Fw0Z3gSaPKA/B4micvj2afRZ4gZxT7KfYqe5H8Cetg==",
"dependencies": {
- "@docusaurus/logger": "3.0.1",
+ "@docusaurus/logger": "3.1.1",
"@svgr/webpack": "^6.5.1",
"escape-string-regexp": "^4.0.0",
"file-loader": "^6.2.0",
@@ -2992,9 +2993,9 @@
}
},
"node_modules/@docusaurus/utils-common": {
- "version": "3.0.1",
- "resolved": "https://registry.npmjs.org/@docusaurus/utils-common/-/utils-common-3.0.1.tgz",
- "integrity": "sha512-W0AxD6w6T8g6bNro8nBRWf7PeZ/nn7geEWM335qHU2DDDjHuV4UZjgUGP1AQsdcSikPrlIqTJJbKzer1lRSlIg==",
+ "version": "3.1.1",
+ "resolved": "https://registry.npmjs.org/@docusaurus/utils-common/-/utils-common-3.1.1.tgz",
+ "integrity": "sha512-eGne3olsIoNfPug5ixjepZAIxeYFzHHnor55Wb2P57jNbtVaFvij/T+MS8U0dtZRFi50QU+UPmRrXdVUM8uyMg==",
"dependencies": {
"tslib": "^2.6.0"
},
@@ -3011,12 +3012,12 @@
}
},
"node_modules/@docusaurus/utils-validation": {
- "version": "3.0.1",
- "resolved": "https://registry.npmjs.org/@docusaurus/utils-validation/-/utils-validation-3.0.1.tgz",
- "integrity": "sha512-ujTnqSfyGQ7/4iZdB4RRuHKY/Nwm58IIb+41s5tCXOv/MBU2wGAjOHq3U+AEyJ8aKQcHbxvTKJaRchNHYUVUQg==",
+ "version": "3.1.1",
+ "resolved": "https://registry.npmjs.org/@docusaurus/utils-validation/-/utils-validation-3.1.1.tgz",
+ "integrity": "sha512-KlY4P9YVDnwL+nExvlIpu79abfEv6ZCHuOX4ZQ+gtip+Wxj0daccdReIWWtqxM/Fb5Cz1nQvUCc7VEtT8IBUAA==",
"dependencies": {
- "@docusaurus/logger": "3.0.1",
- "@docusaurus/utils": "3.0.1",
+ "@docusaurus/logger": "3.1.1",
+ "@docusaurus/utils": "3.1.1",
"joi": "^17.9.2",
"js-yaml": "^4.1.0",
"tslib": "^2.6.0"
@@ -4928,12 +4929,12 @@
"dev": true
},
"node_modules/body-parser": {
- "version": "1.20.1",
- "resolved": "https://registry.npmjs.org/body-parser/-/body-parser-1.20.1.tgz",
- "integrity": "sha512-jWi7abTbYwajOytWCQc37VulmWiRae5RyTpaCyDcS5/lMdtwSz5lOpDE67srw/HYe35f1z3fDQw+3txg7gNtWw==",
+ "version": "1.20.2",
+ "resolved": "https://registry.npmjs.org/body-parser/-/body-parser-1.20.2.tgz",
+ "integrity": "sha512-ml9pReCu3M61kGlqoTm2umSXTlRTuGTx0bfYj+uIUKKYycG5NtSbeetV3faSU6R7ajOPw0g/J1PvK4qNy7s5bA==",
"dependencies": {
"bytes": "3.1.2",
- "content-type": "~1.0.4",
+ "content-type": "~1.0.5",
"debug": "2.6.9",
"depd": "2.0.0",
"destroy": "1.2.0",
@@ -4941,7 +4942,7 @@
"iconv-lite": "0.4.24",
"on-finished": "2.4.1",
"qs": "6.11.0",
- "raw-body": "2.5.1",
+ "raw-body": "2.5.2",
"type-is": "~1.6.18",
"unpipe": "1.0.0"
},
@@ -6124,9 +6125,9 @@
"integrity": "sha512-Kvp459HrV2FEJ1CAsi1Ku+MY3kasH19TFykTz2xWmMeq6bk2NU3XXvfJ+Q61m0xktWwt+1HSYf3JZsTms3aRJg=="
},
"node_modules/cookie": {
- "version": "0.5.0",
- "resolved": "https://registry.npmjs.org/cookie/-/cookie-0.5.0.tgz",
- "integrity": "sha512-YZ3GUyn/o8gfKJlnlX7g7xq4gyO6OSuhGPKaaGssGB2qgDUS0gPgtTvoyZLTt9Ab6dC4hfc9dV5arkvc/OCmrw==",
+ "version": "0.6.0",
+ "resolved": "https://registry.npmjs.org/cookie/-/cookie-0.6.0.tgz",
+ "integrity": "sha512-U71cyTamuh1CRNCfpGY6to28lxvNwPG4Guz/EVjgf3Jmzv0vlDp1atT9eS5dDjMYHucpHbWns6Lwf3BKz6svdw==",
"engines": {
"node": ">= 0.6"
}
@@ -9620,16 +9621,16 @@
}
},
"node_modules/express": {
- "version": "4.18.2",
- "resolved": "https://registry.npmjs.org/express/-/express-4.18.2.tgz",
- "integrity": "sha512-5/PsL6iGPdfQ/lKM1UuielYgv3BUoJfz1aUwU9vHZ+J7gyvwdQXFEBIEIaxeGf0GIcreATNyBExtalisDbuMqQ==",
+ "version": "4.19.2",
+ "resolved": "https://registry.npmjs.org/express/-/express-4.19.2.tgz",
+ "integrity": "sha512-5T6nhjsT+EOMzuck8JjBHARTHfMht0POzlA60WV2pMD3gyXw2LZnZ+ueGdNxG+0calOJcWKbpFcuzLZ91YWq9Q==",
"dependencies": {
"accepts": "~1.3.8",
"array-flatten": "1.1.1",
- "body-parser": "1.20.1",
+ "body-parser": "1.20.2",
"content-disposition": "0.5.4",
"content-type": "~1.0.4",
- "cookie": "0.5.0",
+ "cookie": "0.6.0",
"cookie-signature": "1.0.6",
"debug": "2.6.9",
"depd": "2.0.0",
@@ -10005,9 +10006,9 @@
}
},
"node_modules/follow-redirects": {
- "version": "1.15.3",
- "resolved": "https://registry.npmjs.org/follow-redirects/-/follow-redirects-1.15.3.tgz",
- "integrity": "sha512-1VzOtuEM8pC9SFU1E+8KfTjZyMztRsgEfwQl44z8A25uy13jSzTj6dyK2Df52iV0vgHCfBwLhDWevLn95w5v6Q==",
+ "version": "1.15.6",
+ "resolved": "https://registry.npmjs.org/follow-redirects/-/follow-redirects-1.15.6.tgz",
+ "integrity": "sha512-wWN62YITEaOpSK584EZXJafH1AGpO8RVgElfkuXbTOrPX4fIfOyEpW/CsiNd8JdYrAoOvafRTOEnvsO++qCqFA==",
"funding": [
{
"type": "individual",
@@ -11688,9 +11689,9 @@
}
},
"node_modules/ip": {
- "version": "2.0.0",
- "resolved": "https://registry.npmjs.org/ip/-/ip-2.0.0.tgz",
- "integrity": "sha512-WKa+XuLG1A1R0UWhl2+1XQSi+fZWMsYKffMZTTYsiZaUD8k2yDAj5atimTUD2TZkyCkNEeYE5NhFZmupOGtjYQ==",
+ "version": "2.0.1",
+ "resolved": "https://registry.npmjs.org/ip/-/ip-2.0.1.tgz",
+ "integrity": "sha512-lJUL9imLTNi1ZfXT+DU6rBBdbiKGBuay9B6xGSPVjUeQwaH1RIGqef8RZkUtHioLmSNpPR5M4HVKJGm1j8FWVQ==",
"dev": true
},
"node_modules/ipaddr.js": {
@@ -17476,9 +17477,9 @@
}
},
"node_modules/raw-body": {
- "version": "2.5.1",
- "resolved": "https://registry.npmjs.org/raw-body/-/raw-body-2.5.1.tgz",
- "integrity": "sha512-qqJBtEyVgS0ZmPGdCFPWJ3FreoqvG4MVQln/kCgF7Olq95IbOp0/BWyMwbdtn4VTvkM8Y7khCQ2Xgk/tcrCXig==",
+ "version": "2.5.2",
+ "resolved": "https://registry.npmjs.org/raw-body/-/raw-body-2.5.2.tgz",
+ "integrity": "sha512-8zGqypfENjCIqGhgXToC8aB2r7YrBX+AQAfIPs/Mlk+BtPTztOvTS01NRW/3Eh60J+a48lt8qsCzirQ6loCVfA==",
"dependencies": {
"bytes": "3.1.2",
"http-errors": "2.0.0",
@@ -22018,9 +22019,9 @@
}
},
"node_modules/webpack-dev-middleware": {
- "version": "5.3.3",
- "resolved": "https://registry.npmjs.org/webpack-dev-middleware/-/webpack-dev-middleware-5.3.3.tgz",
- "integrity": "sha512-hj5CYrY0bZLB+eTO+x/j67Pkrquiy7kWepMHmUMoPsmcUaeEnQJqFzHJOyxgWlq746/wUuA64p9ta34Kyb01pA==",
+ "version": "5.3.4",
+ "resolved": "https://registry.npmjs.org/webpack-dev-middleware/-/webpack-dev-middleware-5.3.4.tgz",
+ "integrity": "sha512-BVdTqhhs+0IfoeAf7EoH5WE+exCmqGerHfDM0IL096Px60Tq2Mn9MAbnaGUe6HiMa41KMCYF19gyzZmBcq/o4Q==",
"dependencies": {
"colorette": "^2.0.10",
"memfs": "^3.4.3",
diff --git a/docs/package.json b/docs/package.json
index 35f38de59..d03e8f4a7 100644
--- a/docs/package.json
+++ b/docs/package.json
@@ -16,10 +16,10 @@
"dependencies": {
"@babel/preset-react": "^7.22.3",
"@code-hike/mdx": "^0.9.0",
- "@docusaurus/core": "3.0.1",
- "@docusaurus/plugin-ideal-image": "^3.0.1",
- "@docusaurus/preset-classic": "3.0.1",
- "@docusaurus/theme-classic": "^3.0.1",
+ "@docusaurus/core": "^3.1.1",
+ "@docusaurus/plugin-ideal-image": "^3.1.1",
+ "@docusaurus/preset-classic": "^3.1.1",
+ "@docusaurus/theme-classic": "^3.1.1",
"@docusaurus/theme-search-algolia": "^3.0.1",
"@mdx-js/react": "^2.3.0",
"@mendable/search": "^0.0.154",
@@ -69,4 +69,4 @@
"engines": {
"node": ">=16.14"
}
-}
\ No newline at end of file
+}
diff --git a/docs/sidebars.js b/docs/sidebars.js
index edcb27671..92fed62cc 100644
--- a/docs/sidebars.js
+++ b/docs/sidebars.js
@@ -11,6 +11,17 @@ module.exports = {
"getting-started/creating-flows",
],
},
+ {
+ type: "category",
+ label: "What's New",
+ collapsed: false,
+ items: [
+ "whats-new/migrating-to-one-point-zero",
+ "whats-new/customization-control",
+ "whats-new/debugging-reimagined",
+ "whats-new/simplification-standardization",
+ ],
+ },
{
type: "category",
label: "Guidelines",
@@ -66,18 +77,25 @@ module.exports = {
"guides/loading_document",
"guides/chatprompttemplate_guide",
"guides/langfuse_integration",
+ "guides/inputs-and-outputs",
+ "guides/flow-of-data",
+ "guides/supported-frameworks",
+ "guides/sidebar-and-interaction-panel",
+ "guides/new-categories-and-components",
+ "guides/text-and-record",
+ "guides/custom-component",
+ "guides/compatibility",
+ "guides/multiple-flows",
+ "guides/component-status-and-data-passing",
+ "guides/connecting-output-components",
+ "guides/renaming-and-editing-components",
+ "guides/passing-tweaks-and-inputs",
+ "guides/global-variables",
+ "guides/experimental-components",
+ "guides/state-management",
+ "guides/run-flow",
],
},
- // {
- // type: 'category',
- // label: 'Components',
- // collapsed: false,
- // items: [
- // 'components/agents', 'components/chains', 'components/loaders', 'components/embeddings', 'components/llms',
- // 'components/memories', 'components/prompts','components/text-splitters', 'components/toolkits', 'components/tools',
- // 'components/utilities', 'components/vector-stores', 'components/wrappers',
- // ],
- // },
{
type: "category",
label: "Examples",
diff --git a/docs/static/json_files/SearchApi_Tool.json b/docs/static/json_files/SearchApi_Tool.json
index 304f191f1..8179d7c07 100644
--- a/docs/static/json_files/SearchApi_Tool.json
+++ b/docs/static/json_files/SearchApi_Tool.json
@@ -1 +1,1747 @@
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+ "selected": false,
+ "width": 384,
+ "height": 339,
+ "positionAbsolute": {
+ "x": -1757.239471200792,
+ "y": -1258.2132589352987
+ },
+ "dragging": true
+ },
+ {
+ "id": "CombineDocsChain-afKOq",
+ "type": "genericNode",
+ "position": {
+ "x": -1775.9040057312934,
+ "y": -1644.0423777157919
+ },
+ "data": {
+ "type": "CombineDocsChain",
+ "node": {
+ "template": {
+ "llm": {
+ "type": "BaseLanguageModel",
+ "required": true,
+ "placeholder": "",
+ "list": false,
+ "show": true,
+ "multiline": false,
+ "value": "",
+ "fileTypes": [],
+ "file_path": "",
+ "password": false,
+ "name": "llm",
+ "display_name": "LLM",
+ "advanced": false,
+ "dynamic": false,
+ "info": ""
+ },
+ "chain_type": {
+ "type": "str",
+ "required": true,
+ "placeholder": "",
+ "list": true,
+ "show": true,
+ "multiline": false,
+ "value": "refine",
+ "fileTypes": [],
+ "file_path": "",
+ "password": false,
+ "options": [
+ "stuff",
+ "map_reduce",
+ "map_rerank",
+ "refine"
+ ],
+ "name": "chain_type",
+ "advanced": false,
+ "dynamic": false,
+ "info": ""
+ },
+ "_type": "load_qa_chain"
+ },
+ "description": "Load question answering chain.",
+ "base_classes": [
+ "BaseCombineDocumentsChain",
+ "Callable"
+ ],
+ "display_name": "CombineDocsChain",
+ "documentation": "",
+ "custom_fields": {},
+ "output_types": [],
+ "field_formatters": {},
+ "beta": false
+ },
+ "id": "CombineDocsChain-afKOq"
+ },
+ "selected": false,
+ "width": 384,
+ "height": 333,
+ "dragging": false,
+ "positionAbsolute": {
+ "x": -1775.9040057312934,
+ "y": -1644.0423777157919
+ }
+ },
+ {
+ "id": "SearchApi-kZmEj",
+ "type": "genericNode",
+ "position": {
+ "x": -3074.364183247263,
+ "y": -1782.5742787937606
+ },
+ "data": {
+ "type": "SearchApi",
+ "node": {
+ "template": {
+ "api_key": {
+ "type": "str",
+ "required": true,
+ "placeholder": "",
+ "list": false,
+ "show": true,
+ "multiline": false,
+ "fileTypes": [],
+ "file_path": "",
+ "password": true,
+ "name": "api_key",
+ "display_name": "API Key",
+ "advanced": false,
+ "dynamic": false,
+ "info": "The API key to use SearchApi.",
+ "value": ""
+ },
+ "code": {
+ "type": "code",
+ "required": true,
+ "placeholder": "",
+ "list": false,
+ "show": true,
+ "multiline": true,
+ "value": "from langflow.custom import CustomComponent\nfrom langchain.schema import Document\nfrom langflow.services.database.models.base import orjson_dumps\nfrom langchain_community.utilities.searchapi import SearchApiAPIWrapper\nfrom typing import Optional\n\n\nclass SearchApi(CustomComponent):\n display_name: str = \"SearchApi\"\n description: str = \"Real-time search engines API.\"\n output_types: list[str] = [\"Document\"]\n documentation: str = \"https://www.searchapi.io/docs/google\"\n field_config = {\n \"engine\": {\n \"display_name\": \"Engine\",\n \"field_type\": \"str\",\n \"info\": \"The search engine to use.\",\n },\n \"params\": {\n \"display_name\": \"Parameters\",\n \"info\": \"The parameters to send with the request.\",\n },\n \"code\": {\"show\": False},\n \"api_key\": {\n \"display_name\": \"API Key\",\n \"field_type\": \"str\",\n \"required\": True, \n \"password\": True,\n \"info\": \"The API key to use SearchApi.\",\n },\n }\n\n def build(\n self,\n engine: str,\n api_key: str,\n params: Optional[dict] = None,\n ) -> Document:\n if params is None:\n params = {}\n\n search_api_wrapper = SearchApiAPIWrapper(engine=engine, searchapi_api_key=api_key)\n\n query = params.pop(\"query\", \"default query\") \n results = search_api_wrapper.results(query, **params)\n\n result = orjson_dumps(results, indent_2=False)\n \n document = Document(page_content=result) \n\n return document",
+ "fileTypes": [],
+ "file_path": "",
+ "password": false,
+ "name": "code",
+ "advanced": false,
+ "dynamic": true,
+ "info": ""
+ },
+ "engine": {
+ "type": "str",
+ "required": true,
+ "placeholder": "",
+ "list": false,
+ "show": true,
+ "multiline": false,
+ "fileTypes": [],
+ "file_path": "",
+ "password": false,
+ "name": "engine",
+ "display_name": "Engine",
+ "advanced": false,
+ "dynamic": false,
+ "info": "The search engine to use.",
+ "value": "youtube_transcripts"
+ },
+ "params": {
+ "type": "dict",
+ "required": false,
+ "placeholder": "",
+ "list": false,
+ "show": true,
+ "multiline": false,
+ "fileTypes": [],
+ "file_path": "",
+ "password": false,
+ "name": "params",
+ "display_name": "Parameters",
+ "advanced": false,
+ "dynamic": false,
+ "info": "The parameters to send with the request.",
+ "value": [
+ {
+ "video_id": "krsBRQbOPQ4"
+ }
+ ]
+ },
+ "_type": "CustomComponent"
+ },
+ "description": "Real-time search engines API.",
+ "base_classes": [
+ "Document"
+ ],
+ "display_name": "SearchApi",
+ "documentation": "https://www.searchapi.io/docs/google",
+ "custom_fields": {
+ "api_key": null,
+ "engine": null,
+ "params": null
+ },
+ "output_types": [
+ "SearchApi"
+ ],
+ "field_formatters": {},
+ "beta": true
+ },
+ "id": "SearchApi-kZmEj"
+ },
+ "selected": false,
+ "width": 384,
+ "height": 539,
+ "dragging": false,
+ "positionAbsolute": {
+ "x": -3074.364183247263,
+ "y": -1782.5742787937606
+ }
+ }
+ ],
+ "edges": [
+ {
+ "source": "CharacterTextSplitter-WVMFU",
+ "sourceHandle": "{œbaseClassesœ:[œDocumentœ],œdataTypeœ:œCharacterTextSplitterœ,œidœ:œCharacterTextSplitter-WVMFUœ}",
+ "target": "Chroma-OtYDg",
+ "targetHandle": "{œfieldNameœ:œdocumentsœ,œidœ:œChroma-OtYDgœ,œinputTypesœ:null,œtypeœ:œDocumentœ}",
+ "data": {
+ "targetHandle": {
+ "fieldName": "documents",
+ "id": "Chroma-OtYDg",
+ "inputTypes": null,
+ "type": "Document"
+ },
+ "sourceHandle": {
+ "baseClasses": [
+ "Document"
+ ],
+ "dataType": "CharacterTextSplitter",
+ "id": "CharacterTextSplitter-WVMFU"
+ }
+ },
+ "style": {
+ "stroke": "#555"
+ },
+ "className": "stroke-gray-900 stroke-connection",
+ "animated": false,
+ "id": "reactflow__edge-CharacterTextSplitter-WVMFU{œbaseClassesœ:[œDocumentœ],œdataTypeœ:œCharacterTextSplitterœ,œidœ:œCharacterTextSplitter-WVMFUœ}-Chroma-OtYDg{œfieldNameœ:œdocumentsœ,œidœ:œChroma-OtYDgœ,œinputTypesœ:null,œtypeœ:œDocumentœ}"
+ },
+ {
+ "source": "OpenAIEmbeddings-9yqtI",
+ "sourceHandle": "{œbaseClassesœ:[œEmbeddingsœ,œOpenAIEmbeddingsœ],œdataTypeœ:œOpenAIEmbeddingsœ,œidœ:œOpenAIEmbeddings-9yqtIœ}",
+ "target": "Chroma-OtYDg",
+ "targetHandle": "{œfieldNameœ:œembeddingœ,œidœ:œChroma-OtYDgœ,œinputTypesœ:null,œtypeœ:œEmbeddingsœ}",
+ "data": {
+ "targetHandle": {
+ "fieldName": "embedding",
+ "id": "Chroma-OtYDg",
+ "inputTypes": null,
+ "type": "Embeddings"
+ },
+ "sourceHandle": {
+ "baseClasses": [
+ "Embeddings",
+ "OpenAIEmbeddings"
+ ],
+ "dataType": "OpenAIEmbeddings",
+ "id": "OpenAIEmbeddings-9yqtI"
+ }
+ },
+ "style": {
+ "stroke": "#555"
+ },
+ "className": "stroke-gray-900 stroke-connection",
+ "animated": false,
+ "id": "reactflow__edge-OpenAIEmbeddings-9yqtI{œbaseClassesœ:[œEmbeddingsœ,œOpenAIEmbeddingsœ],œdataTypeœ:œOpenAIEmbeddingsœ,œidœ:œOpenAIEmbeddings-9yqtIœ}-Chroma-OtYDg{œfieldNameœ:œembeddingœ,œidœ:œChroma-OtYDgœ,œinputTypesœ:null,œtypeœ:œEmbeddingsœ}"
+ },
+ {
+ "source": "Chroma-OtYDg",
+ "sourceHandle": "{œbaseClassesœ:[œVectorStoreœ,œBaseRetrieverœ],œdataTypeœ:œChromaœ,œidœ:œChroma-OtYDgœ}",
+ "target": "RetrievalQA-DpylI",
+ "targetHandle": "{œfieldNameœ:œretrieverœ,œidœ:œRetrievalQA-DpylIœ,œinputTypesœ:null,œtypeœ:œBaseRetrieverœ}",
+ "data": {
+ "targetHandle": {
+ "fieldName": "retriever",
+ "id": "RetrievalQA-DpylI",
+ "inputTypes": null,
+ "type": "BaseRetriever"
+ },
+ "sourceHandle": {
+ "baseClasses": [
+ "VectorStore",
+ "BaseRetriever"
+ ],
+ "dataType": "Chroma",
+ "id": "Chroma-OtYDg"
+ }
+ },
+ "style": {
+ "stroke": "#555"
+ },
+ "className": "stroke-gray-900 stroke-connection",
+ "animated": false,
+ "id": "reactflow__edge-Chroma-OtYDg{œbaseClassesœ:[œVectorStoreœ,œBaseRetrieverœ],œdataTypeœ:œChromaœ,œidœ:œChroma-OtYDgœ}-RetrievalQA-DpylI{œfieldNameœ:œretrieverœ,œidœ:œRetrievalQA-DpylIœ,œinputTypesœ:null,œtypeœ:œBaseRetrieverœ}"
+ },
+ {
+ "source": "ChatOpenAI-4Mfuz",
+ "sourceHandle": "{œbaseClassesœ:[œBaseLanguageModelœ,œBaseChatModelœ,œChatOpenAIœ,œBaseLLMœ],œdataTypeœ:œChatOpenAIœ,œidœ:œChatOpenAI-4Mfuzœ}",
+ "target": "CombineDocsChain-afKOq",
+ "targetHandle": "{œfieldNameœ:œllmœ,œidœ:œCombineDocsChain-afKOqœ,œinputTypesœ:null,œtypeœ:œBaseLanguageModelœ}",
+ "data": {
+ "targetHandle": {
+ "fieldName": "llm",
+ "id": "CombineDocsChain-afKOq",
+ "inputTypes": null,
+ "type": "BaseLanguageModel"
+ },
+ "sourceHandle": {
+ "baseClasses": [
+ "BaseLanguageModel",
+ "BaseChatModel",
+ "ChatOpenAI",
+ "BaseLLM"
+ ],
+ "dataType": "ChatOpenAI",
+ "id": "ChatOpenAI-4Mfuz"
+ }
+ },
+ "style": {
+ "stroke": "#555"
+ },
+ "className": "stroke-gray-900 stroke-connection",
+ "animated": false,
+ "id": "reactflow__edge-ChatOpenAI-4Mfuz{œbaseClassesœ:[œBaseLanguageModelœ,œBaseChatModelœ,œChatOpenAIœ,œBaseLLMœ],œdataTypeœ:œChatOpenAIœ,œidœ:œChatOpenAI-4Mfuzœ}-CombineDocsChain-afKOq{œfieldNameœ:œllmœ,œidœ:œCombineDocsChain-afKOqœ,œinputTypesœ:null,œtypeœ:œBaseLanguageModelœ}"
+ },
+ {
+ "source": "CombineDocsChain-afKOq",
+ "sourceHandle": "{œbaseClassesœ:[œBaseCombineDocumentsChainœ,œCallableœ],œdataTypeœ:œCombineDocsChainœ,œidœ:œCombineDocsChain-afKOqœ}",
+ "target": "RetrievalQA-DpylI",
+ "targetHandle": "{œfieldNameœ:œcombine_documents_chainœ,œidœ:œRetrievalQA-DpylIœ,œinputTypesœ:null,œtypeœ:œBaseCombineDocumentsChainœ}",
+ "data": {
+ "targetHandle": {
+ "fieldName": "combine_documents_chain",
+ "id": "RetrievalQA-DpylI",
+ "inputTypes": null,
+ "type": "BaseCombineDocumentsChain"
+ },
+ "sourceHandle": {
+ "baseClasses": [
+ "BaseCombineDocumentsChain",
+ "Callable"
+ ],
+ "dataType": "CombineDocsChain",
+ "id": "CombineDocsChain-afKOq"
+ }
+ },
+ "style": {
+ "stroke": "#555"
+ },
+ "className": "stroke-gray-900 stroke-connection",
+ "animated": false,
+ "id": "reactflow__edge-CombineDocsChain-afKOq{œbaseClassesœ:[œBaseCombineDocumentsChainœ,œCallableœ],œdataTypeœ:œCombineDocsChainœ,œidœ:œCombineDocsChain-afKOqœ}-RetrievalQA-DpylI{œfieldNameœ:œcombine_documents_chainœ,œidœ:œRetrievalQA-DpylIœ,œinputTypesœ:null,œtypeœ:œBaseCombineDocumentsChainœ}"
+ },
+ {
+ "source": "SearchApi-kZmEj",
+ "sourceHandle": "{œbaseClassesœ:[œDocumentœ],œdataTypeœ:œSearchApiœ,œidœ:œSearchApi-kZmEjœ}",
+ "target": "CharacterTextSplitter-WVMFU",
+ "targetHandle": "{œfieldNameœ:œdocumentsœ,œidœ:œCharacterTextSplitter-WVMFUœ,œinputTypesœ:null,œtypeœ:œDocumentœ}",
+ "data": {
+ "targetHandle": {
+ "fieldName": "documents",
+ "id": "CharacterTextSplitter-WVMFU",
+ "inputTypes": null,
+ "type": "Document"
+ },
+ "sourceHandle": {
+ "baseClasses": [
+ "Document"
+ ],
+ "dataType": "SearchApi",
+ "id": "SearchApi-kZmEj"
+ }
+ },
+ "style": {
+ "stroke": "#555"
+ },
+ "className": "stroke-gray-900 stroke-connection",
+ "animated": false,
+ "id": "reactflow__edge-SearchApi-kZmEj{œbaseClassesœ:[œDocumentœ],œdataTypeœ:œSearchApiœ,œidœ:œSearchApi-kZmEjœ}-CharacterTextSplitter-WVMFU{œfieldNameœ:œdocumentsœ,œidœ:œCharacterTextSplitter-WVMFUœ,œinputTypesœ:null,œtypeœ:œDocumentœ}"
+ }
+ ],
+ "viewport": {
+ "x": 2046.3642433866817,
+ "y": 1270.2852546488134,
+ "zoom": 0.6177254407441625
+ }
+ },
+ "description": "Real-time Google Search engine q&a.",
+ "name": "SearchApi Tool",
+ "last_tested_version": "0.6.5a9",
+ "is_component": false
+}
\ No newline at end of file
diff --git a/poetry.lock b/poetry.lock
index 293cd70ba..073532be0 100644
--- a/poetry.lock
+++ b/poetry.lock
@@ -1,4 +1,4 @@
-# This file is automatically @generated by Poetry 1.7.1 and should not be changed by hand.
+# This file is automatically @generated by Poetry 1.8.2 and should not be changed by hand.
[[package]]
name = "aiohttp"
@@ -167,13 +167,13 @@ files = [
[[package]]
name = "anthropic"
-version = "0.21.1"
+version = "0.21.3"
description = "The official Python library for the anthropic API"
optional = false
python-versions = ">=3.7"
files = [
- {file = "anthropic-0.21.1-py3-none-any.whl", hash = "sha256:31f9216221c60494089267fa60e8d50bed34b4e8bc7d691c9212967be08b952a"},
- {file = "anthropic-0.21.1.tar.gz", hash = "sha256:821fdbe3e65f1d1089f58646c0f724aff15e584942c15d8f7d60f09ecccc6e62"},
+ {file = "anthropic-0.21.3-py3-none-any.whl", hash = "sha256:5869115453b543a46ded6515c9f29b8d610b6e94bbba3230ad80ac947d2b0862"},
+ {file = "anthropic-0.21.3.tar.gz", hash = "sha256:02f1ab5694c497e2b2d42d30d51a4f2edcaca92d2ec86bb64fe78a9c7434a869"},
]
[package.dependencies]
@@ -224,13 +224,13 @@ files = [
[[package]]
name = "asgiref"
-version = "3.8.0"
+version = "3.8.1"
description = "ASGI specs, helper code, and adapters"
optional = false
python-versions = ">=3.8"
files = [
- {file = "asgiref-3.8.0-py3-none-any.whl", hash = "sha256:30fc07797ad71a0abb8fe34aa03c8043308a8389abc7942d797ea9911540bc28"},
- {file = "asgiref-3.8.0.tar.gz", hash = "sha256:ec75d9d0f04e2dbfedef1f20ee73a6594af80c333df47cdd31f37e6701f7c53a"},
+ {file = "asgiref-3.8.1-py3-none-any.whl", hash = "sha256:3e1e3ecc849832fe52ccf2cb6686b7a55f82bb1d6aee72a58826471390335e47"},
+ {file = "asgiref-3.8.1.tar.gz", hash = "sha256:c343bd80a0bec947a9860adb4c432ffa7db769836c64238fc34bdc3fec84d590"},
]
[package.dependencies]
@@ -239,6 +239,23 @@ typing-extensions = {version = ">=4", markers = "python_version < \"3.11\""}
[package.extras]
tests = ["mypy (>=0.800)", "pytest", "pytest-asyncio"]
+[[package]]
+name = "astrapy"
+version = "0.7.7"
+description = "AstraPy is a Pythonic SDK for DataStax Astra"
+optional = false
+python-versions = ">=3.8.0,<4.0.0"
+files = [
+ {file = "astrapy-0.7.7-py3-none-any.whl", hash = "sha256:e5def4e3c5ceb06dfc996471250dc0c972b729c06336ea4aac006dadfc071a9a"},
+ {file = "astrapy-0.7.7.tar.gz", hash = "sha256:4bf81096a0c26cce18a14a34bb5f699649fd7d90b4ec6050f3d7c0274722d769"},
+]
+
+[package.dependencies]
+cassio = ">=0.1.4,<0.2.0"
+deprecation = ">=2.1.0,<2.2.0"
+httpx = {version = ">=0.25.2,<1", extras = ["http2"]}
+toml = ">=0.10.2,<0.11.0"
+
[[package]]
name = "asttokens"
version = "2.4.1"
@@ -418,17 +435,17 @@ files = [
[[package]]
name = "boto3"
-version = "1.34.67"
+version = "1.34.71"
description = "The AWS SDK for Python"
optional = false
python-versions = ">=3.8"
files = [
- {file = "boto3-1.34.67-py3-none-any.whl", hash = "sha256:473febdf2606cf36f14c470dc3ff1b986efac15f69e37eb0fd728d42749065dd"},
- {file = "boto3-1.34.67.tar.gz", hash = "sha256:950161d438ae1bf31374f04175e5f2624a5de8109674ff80f4de5d962313072a"},
+ {file = "boto3-1.34.71-py3-none-any.whl", hash = "sha256:7ce8c9a50af2f8a159a0dd86b40011d8dfdaba35005a118e51cd3ac72dc630f1"},
+ {file = "boto3-1.34.71.tar.gz", hash = "sha256:d786e7fbe3c4152866199786468a625dc77b9f27294cd7ad4f63cd2e0c927287"},
]
[package.dependencies]
-botocore = ">=1.34.67,<1.35.0"
+botocore = ">=1.34.71,<1.35.0"
jmespath = ">=0.7.1,<2.0.0"
s3transfer = ">=0.10.0,<0.11.0"
@@ -437,13 +454,13 @@ crt = ["botocore[crt] (>=1.21.0,<2.0a0)"]
[[package]]
name = "botocore"
-version = "1.34.67"
+version = "1.34.71"
description = "Low-level, data-driven core of boto 3."
optional = false
python-versions = ">=3.8"
files = [
- {file = "botocore-1.34.67-py3-none-any.whl", hash = "sha256:56002d7c046ec134811dd079469692ab82919c9840ea4e1c1c373a1d228e37ae"},
- {file = "botocore-1.34.67.tar.gz", hash = "sha256:fc094c055a6ac151820a4d8e28f7b30d03e02695ce180527520a5e219b14e8a1"},
+ {file = "botocore-1.34.71-py3-none-any.whl", hash = "sha256:3bc9e23aee73fe6f097823d61f79a8877790436038101a83fa96c7593e8109f8"},
+ {file = "botocore-1.34.71.tar.gz", hash = "sha256:c58f9ed71af2ea53d24146187130541222d7de8c27eb87d23f15457e7b83d88b"},
]
[package.dependencies]
@@ -595,6 +612,69 @@ files = [
{file = "cachetools-5.3.3.tar.gz", hash = "sha256:ba29e2dfa0b8b556606f097407ed1aa62080ee108ab0dc5ec9d6a723a007d105"},
]
+[[package]]
+name = "cassandra-driver"
+version = "3.29.1"
+description = "DataStax Driver for Apache Cassandra"
+optional = false
+python-versions = "*"
+files = [
+ {file = "cassandra-driver-3.29.1.tar.gz", hash = "sha256:38e9c2a2f2a9664bb03f1f852d5fccaeff2163942b5db35dffcf8bf32a51cfe5"},
+ {file = "cassandra_driver-3.29.1-cp310-cp310-macosx_10_9_x86_64.whl", hash = "sha256:a8f175c7616a63ca48cb8bd4acc443e2a3d889964d5157cead761f23cc8db7bd"},
+ {file = "cassandra_driver-3.29.1-cp310-cp310-macosx_11_0_arm64.whl", hash = "sha256:7d66398952b9cd21c40edff56e22b6d3bce765edc94b207ddb5896e7bc9aa088"},
+ {file = "cassandra_driver-3.29.1-cp310-cp310-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:5bbc6f575ef109ce5d4abfa2033bf36c394032abd83e32ab671159ce68e7e17b"},
+ {file = "cassandra_driver-3.29.1-cp310-cp310-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:78f241af75696adb3e470209e2fbb498804c99e2b197d24d74774eee6784f283"},
+ {file = "cassandra_driver-3.29.1-cp310-cp310-win32.whl", hash = "sha256:54d9e651a742d6ca3d874ef8d06a40fa032d2dba97142da2d36f60c5675e39f8"},
+ {file = "cassandra_driver-3.29.1-cp310-cp310-win_amd64.whl", hash = "sha256:630dc5423cd40eba0ee9db31065e2238098ff1a25a6b1bd36360f85738f26e4b"},
+ {file = "cassandra_driver-3.29.1-cp311-cp311-macosx_10_9_x86_64.whl", hash = "sha256:0b841d38c96bb878d31df393954863652d6d3a85f47bcc00fd1d70a5ea73023f"},
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+
+[package.dependencies]
+geomet = ">=0.1,<0.3"
+
+[package.extras]
+cle = ["cryptography (>=35.0)"]
+graph = ["gremlinpython (==3.4.6)"]
+
+[[package]]
+name = "cassio"
+version = "0.1.5"
+description = "A framework-agnostic Python library to seamlessly integrate Apache Cassandra(R) with ML/LLM/genAI workloads."
+optional = false
+python-versions = ">=3.8"
+files = [
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+
+[package.dependencies]
+cassandra-driver = ">=3.28.0"
+numpy = ">=1.0"
+requests = ">=2"
+
[[package]]
name = "celery"
version = "5.3.6"
@@ -993,13 +1073,13 @@ colorama = {version = "*", markers = "platform_system == \"Windows\""}
[[package]]
name = "click-didyoumean"
-version = "0.3.0"
+version = "0.3.1"
description = "Enables git-like *did-you-mean* feature in click"
optional = true
-python-versions = ">=3.6.2,<4.0.0"
+python-versions = ">=3.6.2"
files = [
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]
[package.dependencies]
@@ -1744,13 +1824,13 @@ requests = ["requests (>=2.4.0,<3.0.0)"]
[[package]]
name = "emoji"
-version = "2.10.1"
+version = "2.11.0"
description = "Emoji for Python"
optional = false
-python-versions = ">=2.7, !=3.0.*, !=3.1.*, !=3.2.*, !=3.3.*"
+python-versions = "!=3.0.*,!=3.1.*,!=3.2.*,!=3.3.*,>=2.7"
files = [
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]
[package.extras]
@@ -1941,18 +2021,18 @@ zstandard = ["zstandard"]
[[package]]
name = "filelock"
-version = "3.13.1"
+version = "3.13.3"
description = "A platform independent file lock."
optional = false
python-versions = ">=3.8"
files = [
- {file = "filelock-3.13.1-py3-none-any.whl", hash = "sha256:57dbda9b35157b05fb3e58ee91448612eb674172fab98ee235ccb0b5bee19a1c"},
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+ {file = "filelock-3.13.3-py3-none-any.whl", hash = "sha256:5ffa845303983e7a0b7ae17636509bc97997d58afeafa72fb141a17b152284cb"},
+ {file = "filelock-3.13.3.tar.gz", hash = "sha256:a79895a25bbefdf55d1a2a0a80968f7dbb28edcd6d4234a0afb3f37ecde4b546"},
]
[package.extras]
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-testing = ["covdefaults (>=2.3)", "coverage (>=7.3.2)", "diff-cover (>=8)", "pytest (>=7.4.3)", "pytest-cov (>=4.1)", "pytest-mock (>=3.12)", "pytest-timeout (>=2.2)"]
+docs = ["furo (>=2023.9.10)", "sphinx (>=7.2.6)", "sphinx-autodoc-typehints (>=1.25.2)"]
+testing = ["covdefaults (>=2.3)", "coverage (>=7.3.2)", "diff-cover (>=8.0.1)", "pytest (>=7.4.3)", "pytest-cov (>=4.1)", "pytest-mock (>=3.12)", "pytest-timeout (>=2.2)"]
typing = ["typing-extensions (>=4.8)"]
[[package]]
@@ -2056,13 +2136,13 @@ Werkzeug = ">=1.0.1"
[[package]]
name = "flatbuffers"
-version = "24.3.7"
+version = "24.3.25"
description = "The FlatBuffers serialization format for Python"
optional = false
python-versions = "*"
files = [
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+ {file = "flatbuffers-24.3.25.tar.gz", hash = "sha256:de2ec5b203f21441716617f38443e0a8ebf3d25bf0d9c0bb0ce68fa00ad546a4"},
]
[[package]]
@@ -2219,6 +2299,21 @@ files = [
{file = "future-1.0.0.tar.gz", hash = "sha256:bd2968309307861edae1458a4f8a4f3598c03be43b97521076aebf5d94c07b05"},
]
+[[package]]
+name = "geomet"
+version = "0.2.1.post1"
+description = "GeoJSON <-> WKT/WKB conversion utilities"
+optional = false
+python-versions = ">2.6, !=3.3.*, <4"
+files = [
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+ {file = "geomet-0.2.1.post1.tar.gz", hash = "sha256:91d754f7c298cbfcabd3befdb69c641c27fe75e808b27aa55028605761d17e95"},
+]
+
+[package.dependencies]
+click = "*"
+six = "*"
+
[[package]]
name = "gevent"
version = "24.2.1"
@@ -2426,13 +2521,13 @@ protobuf = ">=3.19.5,<3.20.0 || >3.20.0,<3.20.1 || >3.20.1,<4.21.0 || >4.21.0,<4
[[package]]
name = "google-api-core"
-version = "2.17.1"
+version = "2.18.0"
description = "Google API client core library"
optional = false
python-versions = ">=3.7"
files = [
- {file = "google-api-core-2.17.1.tar.gz", hash = "sha256:9df18a1f87ee0df0bc4eea2770ebc4228392d8cc4066655b320e2cfccb15db95"},
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+ {file = "google-api-core-2.18.0.tar.gz", hash = "sha256:62d97417bfc674d6cef251e5c4d639a9655e00c45528c4364fbfebb478ce72a9"},
+ {file = "google_api_core-2.18.0-py3-none-any.whl", hash = "sha256:5a63aa102e0049abe85b5b88cb9409234c1f70afcda21ce1e40b285b9629c1d6"},
]
[package.dependencies]
@@ -2446,6 +2541,7 @@ grpcio-status = [
{version = ">=1.33.2,<2.0.dev0", optional = true, markers = "python_version < \"3.11\" and extra == \"grpc\""},
{version = ">=1.49.1,<2.0.dev0", optional = true, markers = "python_version >= \"3.11\" and extra == \"grpc\""},
]
+proto-plus = ">=1.22.3,<2.0.0dev"
protobuf = ">=3.19.5,<3.20.0 || >3.20.0,<3.20.1 || >3.20.1,<4.21.0 || >4.21.0,<4.21.1 || >4.21.1,<4.21.2 || >4.21.2,<4.21.3 || >4.21.3,<4.21.4 || >4.21.4,<4.21.5 || >4.21.5,<5.0.0.dev0"
requests = ">=2.18.0,<3.0.0.dev0"
@@ -2456,13 +2552,13 @@ grpcio-gcp = ["grpcio-gcp (>=0.2.2,<1.0.dev0)"]
[[package]]
name = "google-api-python-client"
-version = "2.122.0"
+version = "2.123.0"
description = "Google API Client Library for Python"
optional = false
python-versions = ">=3.7"
files = [
- {file = "google-api-python-client-2.122.0.tar.gz", hash = "sha256:77447bf2d6b6ea9e686fd66fc2f12ee7a63e3889b7427676429ebf09fcb5dcf9"},
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+ {file = "google-api-python-client-2.123.0.tar.gz", hash = "sha256:a17226b02f71de581afe045437b441844110a9cd91580b73549d41108cf1b9f0"},
+ {file = "google_api_python_client-2.123.0-py2.py3-none-any.whl", hash = "sha256:1c2bcaa846acf5bac4d6f244d8373d4de9de73d64eb6e77b56767ab4cf681419"},
]
[package.dependencies]
@@ -2563,17 +2659,17 @@ grpc = ["grpcio (>=1.44.0,<2.0.0.dev0)"]
[[package]]
name = "gotrue"
-version = "2.4.1"
-description = "Python Client Library for GoTrue"
+version = "2.4.2"
+description = "Python Client Library for Supabase Auth"
optional = false
-python-versions = ">=3.8,<4.0"
+python-versions = "<4.0,>=3.8"
files = [
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- {file = "gotrue-2.4.1.tar.gz", hash = "sha256:8b260ef285f45a3a2f9b5a006f12afb9fad7a36a28fa277f19e733f22eb88584"},
+ {file = "gotrue-2.4.2-py3-none-any.whl", hash = "sha256:64cd40933d1f0a5d5cc4f4bd93bc51d730b94812447b6600f774790a4901e455"},
+ {file = "gotrue-2.4.2.tar.gz", hash = "sha256:e100745161f1c58dd05b9c1ef8bcd4cd78cdfb38d8d2c253ade63143a3dc6aeb"},
]
[package.dependencies]
-httpx = ">=0.23,<0.26"
+httpx = ">=0.23,<0.28"
pydantic = ">=1.10,<3"
[[package]]
@@ -2856,24 +2952,24 @@ files = [
[[package]]
name = "httpcore"
-version = "0.17.3"
+version = "1.0.4"
description = "A minimal low-level HTTP client."
optional = false
-python-versions = ">=3.7"
+python-versions = ">=3.8"
files = [
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- {file = "httpcore-0.17.3.tar.gz", hash = "sha256:a6f30213335e34c1ade7be6ec7c47f19f50c56db36abef1a9dfa3815b1cb3888"},
+ {file = "httpcore-1.0.4-py3-none-any.whl", hash = "sha256:ac418c1db41bade2ad53ae2f3834a3a0f5ae76b56cf5aa497d2d033384fc7d73"},
+ {file = "httpcore-1.0.4.tar.gz", hash = "sha256:cb2839ccfcba0d2d3c1131d3c3e26dfc327326fbe7a5dc0dbfe9f6c9151bb022"},
]
[package.dependencies]
-anyio = ">=3.0,<5.0"
certifi = "*"
h11 = ">=0.13,<0.15"
-sniffio = "==1.*"
[package.extras]
+asyncio = ["anyio (>=4.0,<5.0)"]
http2 = ["h2 (>=3,<5)"]
socks = ["socksio (==1.*)"]
+trio = ["trio (>=0.22.0,<0.25.0)"]
[[package]]
name = "httplib2"
@@ -2939,19 +3035,20 @@ test = ["Cython (>=0.29.24,<0.30.0)"]
[[package]]
name = "httpx"
-version = "0.24.1"
+version = "0.25.2"
description = "The next generation HTTP client."
optional = false
-python-versions = ">=3.7"
+python-versions = ">=3.8"
files = [
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- {file = "httpx-0.24.1.tar.gz", hash = "sha256:5853a43053df830c20f8110c5e69fe44d035d850b2dfe795e196f00fdb774bdd"},
+ {file = "httpx-0.25.2-py3-none-any.whl", hash = "sha256:a05d3d052d9b2dfce0e3896636467f8a5342fb2b902c819428e1ac65413ca118"},
+ {file = "httpx-0.25.2.tar.gz", hash = "sha256:8b8fcaa0c8ea7b05edd69a094e63a2094c4efcb48129fb757361bc423c0ad9e8"},
]
[package.dependencies]
+anyio = "*"
certifi = "*"
h2 = {version = ">=3,<5", optional = true, markers = "extra == \"http2\""}
-httpcore = ">=0.15.0,<0.18.0"
+httpcore = "==1.*"
idna = "*"
sniffio = "*"
@@ -3164,18 +3261,18 @@ testing = ["flufl.flake8", "importlib-resources (>=1.3)", "packaging", "pyfakefs
[[package]]
name = "importlib-resources"
-version = "6.3.2"
+version = "6.4.0"
description = "Read resources from Python packages"
optional = false
python-versions = ">=3.8"
files = [
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+ {file = "importlib_resources-6.4.0-py3-none-any.whl", hash = "sha256:50d10f043df931902d4194ea07ec57960f66a80449ff867bfe782b4c486ba78c"},
+ {file = "importlib_resources-6.4.0.tar.gz", hash = "sha256:cdb2b453b8046ca4e3798eb1d84f3cce1446a0e8e7b5ef4efb600f19fc398145"},
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-testing = ["jaraco.collections", "pytest (>=6)", "pytest-checkdocs (>=2.4)", "pytest-cov", "pytest-enabler (>=2.2)", "pytest-mypy", "pytest-ruff (>=0.2.1)", "zipp (>=3.17)"]
+testing = ["jaraco.test (>=5.4)", "pytest (>=6)", "pytest-checkdocs (>=2.4)", "pytest-cov", "pytest-enabler (>=2.2)", "pytest-mypy", "pytest-ruff (>=0.2.1)", "zipp (>=3.17)"]
[[package]]
name = "iniconfig"
@@ -3621,6 +3718,22 @@ anthropic = ">=0.17.0,<1"
defusedxml = ">=0.7.1,<0.8.0"
langchain-core = ">=0.1,<0.2"
+[[package]]
+name = "langchain-astradb"
+version = "0.1.0"
+description = "An integration package connecting Astra DB and LangChain"
+optional = false
+python-versions = ">=3.8.1,<4.0"
+files = [
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+ {file = "langchain_astradb-0.1.0.tar.gz", hash = "sha256:c8a3426c9daa2beeec2dc7a718186b0b9c388082e9543e0bc07363712cc3b947"},
+]
+
+[package.dependencies]
+astrapy = ">=0.7.7,<0.8.0"
+langchain-core = ">=0.1.31,<0.2.0"
+numpy = ">=1,<2"
+
[[package]]
name = "langchain-community"
version = "0.0.29"
@@ -3755,15 +3868,74 @@ files = [
[package.dependencies]
six = "*"
+[[package]]
+name = "langflow-base"
+version = "0.0.11"
+description = "A Python package with a built-in web application"
+optional = false
+python-versions = ">=3.10,<3.12"
+files = []
+develop = true
+
+[package.dependencies]
+alembic = "^1.13.0"
+bcrypt = "4.0.1"
+cachetools = "^5.3.1"
+chromadb = "^0.4.24"
+docstring-parser = "^0.15"
+duckdb = "^0.9.2"
+fastapi = "^0.109.0"
+gunicorn = "^21.2.0"
+httpx = "^0.25"
+jq = {version = "^1.7.0", markers = "sys_platform != \"win32\""}
+langchain = "~0.1.0"
+langchain-anthropic = "^0.1.4"
+langchain-astradb = "^0.1.0"
+langchain-experimental = "*"
+loguru = "^0.7.1"
+multiprocess = "^0.70.14"
+opentelemetry-api = "^1.23.0"
+opentelemetry-exporter-otlp = "^1.23.0"
+opentelemetry-instrumentation-asgi = "^0.44b0"
+opentelemetry-instrumentation-fastapi = "^0.44b0"
+opentelemetry-instrumentation-httpx = "^0.44b0"
+opentelemetry-sdk = "^1.23.0"
+orjson = "3.9.15"
+pandas = "2.2.0"
+passlib = "^1.7.4"
+pillow = "^10.2.0"
+platformdirs = "^4.2.0"
+pydantic = "^2.5.0"
+pydantic-settings = "^2.1.0"
+pypdf = "^4.1.0"
+python-docx = "^1.1.0"
+python-jose = "^3.3.0"
+python-multipart = "^0.0.7"
+python-socketio = "^5.11.0"
+rich = "^13.7.0"
+sqlmodel = "^0.0.14"
+typer = "^0.9.0"
+uvicorn = "^0.27.0"
+websockets = "^10.3"
+
+[package.extras]
+all = []
+deploy = []
+local = []
+
+[package.source]
+type = "directory"
+url = "src/backend/base"
+
[[package]]
name = "langfuse"
-version = "2.21.0"
+version = "2.21.1"
description = "A client library for accessing langfuse"
optional = false
python-versions = "<4.0,>=3.8.1"
files = [
- {file = "langfuse-2.21.0-py3-none-any.whl", hash = "sha256:2b605d0021ed38292e8ec026cfa0709a7883e9ef72a273ccaa62f9a01d523ca5"},
- {file = "langfuse-2.21.0.tar.gz", hash = "sha256:db1ae80ede45519813ea82302a7ab79e312566c706acd0c8a915a40829b0e5af"},
+ {file = "langfuse-2.21.1-py3-none-any.whl", hash = "sha256:5ef286823a4c9903e2120ad2bf0169a929d41789702535abc713e66a0d270f05"},
+ {file = "langfuse-2.21.1.tar.gz", hash = "sha256:36494ea016784ac339a1a5375b88c33484e81668433956ead442d7a93c217078"},
]
[package.dependencies]
@@ -3836,19 +4008,19 @@ test = ["httpx (>=0.24.1)", "pytest (>=7.4.0)", "scipy (>=1.10)"]
[[package]]
name = "llama-index"
-version = "0.10.20"
+version = "0.10.23"
description = "Interface between LLMs and your data"
optional = false
-python-versions = ">=3.8.1,<4.0"
+python-versions = "<4.0,>=3.8.1"
files = [
- {file = "llama_index-0.10.20-py3-none-any.whl", hash = "sha256:e42bcb00a41f2e60fad3da2d286e53ba0d3f963f94741e7bffd9600e80208413"},
- {file = "llama_index-0.10.20.tar.gz", hash = "sha256:796dc3a540f4e531d0f027702ebcb7bb89d5c42a94e77413a06b0c228ea66654"},
+ {file = "llama_index-0.10.23-py3-none-any.whl", hash = "sha256:e38a3b87fb9ba74a43bdc374351abd7f3f34f28899bbd18949daf26cb3d2ae7f"},
+ {file = "llama_index-0.10.23.tar.gz", hash = "sha256:cff74022ed8da6efb49ebf113ff6aba32c863b02a87d45179991c7736cfaf9d5"},
]
[package.dependencies]
llama-index-agent-openai = ">=0.1.4,<0.2.0"
llama-index-cli = ">=0.1.2,<0.2.0"
-llama-index-core = ">=0.10.20,<0.11.0"
+llama-index-core = ">=0.10.23,<0.11.0"
llama-index-embeddings-openai = ">=0.1.5,<0.2.0"
llama-index-indices-managed-llama-cloud = ">=0.1.2,<0.2.0"
llama-index-legacy = ">=0.9.48,<0.10.0"
@@ -3861,13 +4033,13 @@ llama-index-readers-llama-parse = ">=0.1.2,<0.2.0"
[[package]]
name = "llama-index-agent-openai"
-version = "0.1.6"
+version = "0.1.7"
description = "llama-index agent openai integration"
optional = false
-python-versions = ">=3.8.1,<4.0"
+python-versions = "<4.0,>=3.8.1"
files = [
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- {file = "llama_index_agent_openai-0.1.6.tar.gz", hash = "sha256:9c56655822f5eb8b72648e87fe64119b1e907e4a7dbcc2da4b6f3fe162828b71"},
+ {file = "llama_index_agent_openai-0.1.7-py3-none-any.whl", hash = "sha256:6764d385699f4f40ee34bcd88309c820e9e71aa9675a4bde26d4f625d79190a8"},
+ {file = "llama_index_agent_openai-0.1.7.tar.gz", hash = "sha256:6962f02e94c097c6a823dad494568e62b83f4218eb852ef0dce90bd3ffb10406"},
]
[package.dependencies]
@@ -3892,13 +4064,13 @@ llama-index-llms-openai = ">=0.1.1,<0.2.0"
[[package]]
name = "llama-index-core"
-version = "0.10.21.post1"
+version = "0.10.23.post1"
description = "Interface between LLMs and your data"
optional = false
python-versions = "<4.0,>=3.8.1"
files = [
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- {file = "llama_index_core-0.10.21.post1.tar.gz", hash = "sha256:0c212d14ffc368114099e881e9e3fa2d073d5186be07ec9db46070d475db14e0"},
+ {file = "llama_index_core-0.10.23.post1-py3-none-any.whl", hash = "sha256:5a3ef75791e8236f0441b1b8d504371c07be107d9326549a70e754024792a1d2"},
+ {file = "llama_index_core-0.10.23.post1.tar.gz", hash = "sha256:0bfa8e93716b979246895601daccc73557af61a53da53d1f717222145015b0ab"},
]
[package.dependencies]
@@ -3949,13 +4121,13 @@ llama-index-core = ">=0.10.1,<0.11.0"
[[package]]
name = "llama-index-indices-managed-llama-cloud"
-version = "0.1.4"
+version = "0.1.5"
description = "llama-index indices llama-cloud integration"
optional = false
-python-versions = ">=3.8.1,<4.0"
+python-versions = "<4.0,>=3.8.1"
files = [
- {file = "llama_index_indices_managed_llama_cloud-0.1.4-py3-none-any.whl", hash = "sha256:48afacbc1d22150079c431bb3aa4570c490ee045530c6977b294709770a869a6"},
- {file = "llama_index_indices_managed_llama_cloud-0.1.4.tar.gz", hash = "sha256:1ad07aea659125b31cbf45ff939b19f2208f2f52ac7a1e37539d7a15e9db2c86"},
+ {file = "llama_index_indices_managed_llama_cloud-0.1.5-py3-none-any.whl", hash = "sha256:79f636cb6f4fabb12fec153564110f7f4dfda3cacb087793a5fec988484d7d2c"},
+ {file = "llama_index_indices_managed_llama_cloud-0.1.5.tar.gz", hash = "sha256:47cdde9f06bbddd508f0efcf41de425e85171ac2c8fda8a5fb2a89673e1c8c71"},
]
[package.dependencies]
@@ -4064,13 +4236,13 @@ llama-index-program-openai = ">=0.1.1,<0.2.0"
[[package]]
name = "llama-index-readers-file"
-version = "0.1.11"
+version = "0.1.12"
description = "llama-index readers file integration"
optional = false
-python-versions = ">=3.8.1,<4.0"
+python-versions = "<4.0,>=3.8.1"
files = [
- {file = "llama_index_readers_file-0.1.11-py3-none-any.whl", hash = "sha256:69fe380ac46b7f6db43384e18bc37f880b2627d60677cb0b2c6074fbb42a5971"},
- {file = "llama_index_readers_file-0.1.11.tar.gz", hash = "sha256:2414ea0d82aa151935cf3ff1669d324a01fd12b0059705ba5f62741ef980f8bd"},
+ {file = "llama_index_readers_file-0.1.12-py3-none-any.whl", hash = "sha256:029eecb9371c6c621cce026fa987212a55160c6cceafef5f470366ec410cc148"},
+ {file = "llama_index_readers_file-0.1.12.tar.gz", hash = "sha256:6065cbf80b0fb5d189558b8b90adbbdc92acb86147fca192d88fcc2704ad2af3"},
]
[package.dependencies]
@@ -4083,28 +4255,28 @@ striprtf = ">=0.0.26,<0.0.27"
[[package]]
name = "llama-index-readers-llama-parse"
-version = "0.1.3"
+version = "0.1.4"
description = "llama-index readers llama-parse integration"
optional = false
-python-versions = ">=3.8.1,<4.0"
+python-versions = "<4.0,>=3.8.1"
files = [
- {file = "llama_index_readers_llama_parse-0.1.3-py3-none-any.whl", hash = "sha256:f52a06a2765a2ffe6c138cf1703ab1de6249ff069ba62d80b9147e849bbcbc27"},
- {file = "llama_index_readers_llama_parse-0.1.3.tar.gz", hash = "sha256:e0ee0c393e10fc80eac644788338bbd2032050c8b8a474f3d0b5ebd08e9867fe"},
+ {file = "llama_index_readers_llama_parse-0.1.4-py3-none-any.whl", hash = "sha256:c4914b37d12cceee56fbd185cca80f87d60acbf8ea7a73f9719610180be1fcdd"},
+ {file = "llama_index_readers_llama_parse-0.1.4.tar.gz", hash = "sha256:78608b193c818894aefeee0aa303f02b7f80f2e4caf13866c2fd3b0b1023e2c0"},
]
[package.dependencies]
llama-index-core = ">=0.10.7,<0.11.0"
-llama-parse = ">=0.3.3,<0.4.0"
+llama-parse = ">=0.4.0,<0.5.0"
[[package]]
name = "llama-parse"
-version = "0.3.9"
+version = "0.4.0"
description = "Parse files into RAG-Optimized formats."
optional = false
-python-versions = ">=3.8.1,<4.0"
+python-versions = "<4.0,>=3.8.1"
files = [
- {file = "llama_parse-0.3.9-py3-none-any.whl", hash = "sha256:ee96102ad5d23f7cadf677fff4c2f55493472ba0d0be7588e7a7b37c0338ed81"},
- {file = "llama_parse-0.3.9.tar.gz", hash = "sha256:beb6ba4dbb7a57708ab6f10f7d53141598e39de1a040a61e6f5a71c3a5d56b13"},
+ {file = "llama_parse-0.4.0-py3-none-any.whl", hash = "sha256:52b450c9bb94746c5f86867f54fd2e74670d89b385dcb879eb93490a42fda628"},
+ {file = "llama_parse-0.4.0.tar.gz", hash = "sha256:ee521e9422db48dbdf00303cb6e90f1066131960b5ca4e14f5b5a6db6b7917e2"},
]
[package.dependencies]
@@ -5226,13 +5398,13 @@ sympy = "*"
[[package]]
name = "openai"
-version = "1.14.2"
+version = "1.14.3"
description = "The official Python library for the openai API"
optional = false
python-versions = ">=3.7.1"
files = [
- {file = "openai-1.14.2-py3-none-any.whl", hash = "sha256:a48b3c4d635b603952189ac5a0c0c9b06c025b80eb2900396939f02bb2104ac3"},
- {file = "openai-1.14.2.tar.gz", hash = "sha256:e5642f7c02cf21994b08477d7bb2c1e46d8f335d72c26f0396c5f89b15b5b153"},
+ {file = "openai-1.14.3-py3-none-any.whl", hash = "sha256:7a465994a7ccf677a110c6cc2ef9d86229bad42c060b585b67049aa749f3b774"},
+ {file = "openai-1.14.3.tar.gz", hash = "sha256:37b514e9c0ff45383ec9b242abd0f7859b1080d4b54b61393ed341ecad1b8eb9"},
]
[package.dependencies]
@@ -5262,6 +5434,21 @@ files = [
deprecated = ">=1.2.6"
importlib-metadata = ">=6.0,<7.0"
+[[package]]
+name = "opentelemetry-exporter-otlp"
+version = "1.23.0"
+description = "OpenTelemetry Collector Exporters"
+optional = false
+python-versions = ">=3.8"
+files = [
+ {file = "opentelemetry_exporter_otlp-1.23.0-py3-none-any.whl", hash = "sha256:92371fdc8d7803465a45801fe30cd8c522ef355a385b0a1d5346d32f77511ea2"},
+ {file = "opentelemetry_exporter_otlp-1.23.0.tar.gz", hash = "sha256:4af8798f9bc3bddb92fcbb5b4aa9d0e955d962aa1d9bceaab08891c355a9f907"},
+]
+
+[package.dependencies]
+opentelemetry-exporter-otlp-proto-grpc = "1.23.0"
+opentelemetry-exporter-otlp-proto-http = "1.23.0"
+
[[package]]
name = "opentelemetry-exporter-otlp-proto-common"
version = "1.23.0"
@@ -5382,6 +5569,27 @@ opentelemetry-util-http = "0.44b0"
instruments = ["fastapi (>=0.58,<1.0)"]
test = ["httpx (>=0.22,<1.0)", "opentelemetry-instrumentation-fastapi[instruments]", "opentelemetry-test-utils (==0.44b0)", "requests (>=2.23,<3.0)"]
+[[package]]
+name = "opentelemetry-instrumentation-httpx"
+version = "0.44b0"
+description = "OpenTelemetry HTTPX Instrumentation"
+optional = false
+python-versions = ">=3.8"
+files = [
+ {file = "opentelemetry_instrumentation_httpx-0.44b0-py3-none-any.whl", hash = "sha256:a4f1121b6212b018e719ef6a9a2f8317c329edd01a61452b7250f574f7d95a91"},
+ {file = "opentelemetry_instrumentation_httpx-0.44b0.tar.gz", hash = "sha256:6cc81c4182f54dfb0d15774e3e48bb90d3ed44e9ad8bf5eef2a64a7197f945d8"},
+]
+
+[package.dependencies]
+opentelemetry-api = ">=1.12,<2.0"
+opentelemetry-instrumentation = "0.44b0"
+opentelemetry-semantic-conventions = "0.44b0"
+opentelemetry-util-http = "0.44b0"
+
+[package.extras]
+instruments = ["httpx (>=0.18.0)"]
+test = ["opentelemetry-instrumentation-httpx[instruments]", "opentelemetry-sdk (>=1.12,<2.0)", "opentelemetry-test-utils (==0.44b0)"]
+
[[package]]
name = "opentelemetry-proto"
version = "1.23.0"
@@ -5803,13 +6011,13 @@ xmp = ["defusedxml"]
[[package]]
name = "pinecone-client"
-version = "3.1.0"
+version = "3.2.1"
description = "Pinecone client and SDK"
optional = false
-python-versions = ">=3.8,<4.0"
+python-versions = "<4.0,>=3.8"
files = [
- {file = "pinecone_client-3.1.0-py3-none-any.whl", hash = "sha256:66dfe9859ed5b3412c3b59c68c9706c0f522cafd1a15c5d05e28d5664c2c48a4"},
- {file = "pinecone_client-3.1.0.tar.gz", hash = "sha256:45b8206013f91a982b994f1fbaa39e7e8c99d30ef3778a9f319c43b8c992fc42"},
+ {file = "pinecone_client-3.2.1-py3-none-any.whl", hash = "sha256:e3e7983762509235250b9bcd543ec6283b7dffaed2e899f1631327f2b77859e3"},
+ {file = "pinecone_client-3.2.1.tar.gz", hash = "sha256:8560ffafb13b9c45a92eb9eb77a2db32d5a1fa7903a1db17f7af58ee1058bb60"},
]
[package.dependencies]
@@ -5872,18 +6080,18 @@ tests = ["pytest (>=5.4.1)", "pytest-cov (>=2.8.1)", "pytest-mypy (>=0.8.0)", "p
[[package]]
name = "postgrest"
-version = "0.16.1"
+version = "0.16.2"
description = "PostgREST client for Python. This library provides an ORM interface to PostgREST."
optional = false
-python-versions = ">=3.8,<4.0"
+python-versions = "<4.0,>=3.8"
files = [
- {file = "postgrest-0.16.1-py3-none-any.whl", hash = "sha256:412ec6bf61c58f38c92b6b61f57ab50e25c73ca9ef415a6f56ed9cf5429614cb"},
- {file = "postgrest-0.16.1.tar.gz", hash = "sha256:d955824d37e7123a8313cbf10c8e0a8d42418fcb942cd8e1526e8509fb71574d"},
+ {file = "postgrest-0.16.2-py3-none-any.whl", hash = "sha256:cf89106d0877ac2c7b070ad136f78350eb89dbdd998cd83d6852010e0bcdb878"},
+ {file = "postgrest-0.16.2.tar.gz", hash = "sha256:6c5c8e53cdcede8b6654ddfc7505e5af0c41ce56c6935f7b1d05545bb899d8b8"},
]
[package.dependencies]
deprecation = ">=2.1.0,<3.0.0"
-httpx = ">=0.24,<0.26"
+httpx = ">=0.24,<0.28"
pydantic = ">=1.9,<3.0"
strenum = ">=0.4.9,<0.5.0"
@@ -6350,13 +6558,13 @@ pyasn1 = ">=0.4.6,<0.6.0"
[[package]]
name = "pyautogen"
-version = "0.2.19"
+version = "0.2.20"
description = "Enabling Next-Gen LLM Applications via Multi-Agent Conversation Framework"
optional = false
-python-versions = ">=3.8,<3.13"
+python-versions = "<3.13,>=3.8"
files = [
- {file = "pyautogen-0.2.19-py3-none-any.whl", hash = "sha256:975c16fea586b4161287c74b7459a1ed195cbd7f3ff57e6cc981bc991eac47aa"},
- {file = "pyautogen-0.2.19.tar.gz", hash = "sha256:ebc9196d95e59f7e36645fbaa732534565e19a08dfb3eb4ca9e562ddc74d1ca9"},
+ {file = "pyautogen-0.2.20-py3-none-any.whl", hash = "sha256:d03a3babf6482c3cfda5ad2cbe15e587e952a095582698453bf0ea0402eba168"},
+ {file = "pyautogen-0.2.20.tar.gz", hash = "sha256:a64f10c05f86a6a1fcec074bf0de51f2eecf787297f366e8e2fff33ab6d7fc77"},
]
[package.dependencies]
@@ -6381,6 +6589,7 @@ redis = ["redis"]
retrievechat = ["chromadb", "ipython", "pypdf", "sentence-transformers"]
teachable = ["chromadb"]
test = ["coverage (>=5.3)", "ipykernel", "nbconvert", "nbformat", "pre-commit", "pytest (>=6.1.1,<8)", "pytest-asyncio"]
+types = ["ipykernel (>=6.29.0)", "jupyter-client (>=8.6.0)", "jupyter-kernel-gateway", "mypy (==1.9.0)", "requests", "websocket-client"]
websurfer = ["beautifulsoup4", "markdownify", "pathvalidate", "pdfminer.six"]
[[package]]
@@ -6706,55 +6915,60 @@ zstd = ["zstandard"]
[[package]]
name = "pymupdf"
-version = "1.23.26"
+version = "1.24.0"
description = "A high performance Python library for data extraction, analysis, conversion & manipulation of PDF (and other) documents."
optional = false
python-versions = ">=3.8"
files = [
- {file = "PyMuPDF-1.23.26-cp310-none-macosx_10_9_x86_64.whl", hash = "sha256:645a05321aecc8c45739f71f0eb574ce33138d19189582ffa5241fea3a8e2549"},
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[[package]]
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+description = "Long-Term Memory for AI Assistants. This is the Python client for the Zep service."
optional = false
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- {file = "zep_python-1.5.0.tar.gz", hash = "sha256:519668250d56c9165b5786e032b98c755b1d5dbb1af46d19580123ac82d2da5c"},
+ {file = "zep_python-2.0.0rc5-py3-none-any.whl", hash = "sha256:8b1b5c22c9e1ef439c9ef3d785347abf89b1243c7149e32025dd065cc022af40"},
+ {file = "zep_python-2.0.0rc5.tar.gz", hash = "sha256:e6ced8089760374dead948d6b4b88fceb09a356bf9a7fe182b4ceb6e828f0bb1"},
]
[package.dependencies]
-httpx = ">=0.24.0,<0.25.0"
-packaging = ">=23.1,<24.0"
-pydantic = ">=1.10.7"
+httpx = ">=0.24.0,<0.29.0"
+pydantic = ">=2.0.0"
[[package]]
name = "zipp"
@@ -9984,4 +10189,4 @@ local = ["ctransformers", "llama-cpp-python", "sentence-transformers"]
[metadata]
lock-version = "2.0"
python-versions = ">=3.10,<3.12"
-content-hash = "dedb98bf70db438c28d18a8289a9bb61c79d4ff983b96b7f1d52e11b9c32900b"
+content-hash = "f5a9ece79b43c4c1a418b25968c258f8e86d3335559993b7650b01505f0ad5a3"
diff --git a/pyproject.toml b/pyproject.toml
index bfbda452b..d691654df 100644
--- a/pyproject.toml
+++ b/pyproject.toml
@@ -24,30 +24,21 @@ documentation = "https://docs.langflow.org"
[tool.poetry.scripts]
langflow = "langflow.__main__:main"
+[tool.poetry-monorepo-dependency-plugin]
+enable = true
+
[tool.poetry.dependencies]
-
-
python = ">=3.10,<3.12"
-duckdb = "^0.9.2"
-fastapi = "^0.109.0"
-uvicorn = "^0.27.0"
+langflow-base = { path = "./src/backend/base", develop = true }
+
beautifulsoup4 = "^4.12.2"
google-search-results = "^2.4.1"
google-api-python-client = "^2.118.0"
-typer = "^0.9.0"
-gunicorn = "^21.2.0"
-langchain = "~0.1.0"
-openai = "^1.12.0"
-pandas = "2.2.0"
-chromadb = "^0.4.23"
huggingface-hub = { version = "^0.20.0", extras = ["inference"] }
-rich = "^13.7.0"
llama-cpp-python = { version = "~0.2.0", optional = true }
networkx = "^3.1"
-pypdf = "^4.0.0"
pysrt = "^1.1.2"
fake-useragent = "^1.4.0"
-docstring-parser = "^0.15"
psycopg2-binary = "^2.9.6"
pyarrow = "^14.0.0"
wikipedia = "^1.4.0"
@@ -56,15 +47,8 @@ weaviate-client = "*"
sentence-transformers = { version = "^2.3.1", optional = true }
ctransformers = { version = "^0.2.10", optional = true }
cohere = "^4.47.0"
-python-multipart = "^0.0.7"
-sqlmodel = "^0.0.14"
faiss-cpu = "^1.7.4"
-anthropic = "^0.21.0"
-orjson = "3.9.15"
-multiprocess = "^0.70.14"
-cachetools = "^5.3.1"
types-cachetools = "^5.3.0.5"
-platformdirs = "^4.2.0"
pinecone-client = "^3.0.3"
pymongo = "^4.6.0"
supabase = "^2.3.0"
@@ -72,27 +56,17 @@ certifi = "^2023.11.17"
psycopg = "^3.1.9"
psycopg-binary = "^3.1.9"
fastavro = "^1.8.0"
-langchain-experimental = "*"
celery = { extras = ["redis"], version = "^5.3.6", optional = true }
redis = { version = "^5.0.1", optional = true }
flower = { version = "^2.0.0", optional = true }
-alembic = "^1.13.0"
-passlib = "^1.7.4"
-bcrypt = "4.0.1"
-python-jose = "^3.3.0"
metaphor-python = "^0.1.11"
-pydantic = "^2.5.0"
-pydantic-settings = "^2.1.0"
-zep-python = "1.5.0"
+zep-python = "*"
pywin32 = { version = "^306", markers = "sys_platform == 'win32'" }
-loguru = "^0.7.1"
langfuse = "^2.9.0"
-pillow = "^10.2.0"
metal-sdk = "^2.5.0"
markupsafe = "^2.1.3"
extract-msg = "^0.47.0"
# jq is not available for windows
-jq = { version = "^1.6.0", markers = "sys_platform != 'win32'" }
boto3 = "^1.34.0"
numexpr = "^2.8.6"
qianfan = "0.3.5"
@@ -101,17 +75,13 @@ pyautogen = "^0.2.0"
langchain-google-genai = "^0.0.6"
elasticsearch = "^8.12.0"
pytube = "^15.0.0"
-python-socketio = "^5.11.0"
llama-index = "^0.10.13"
langchain-openai = "^0.0.5"
unstructured = { extras = ["md"], version = "^0.12.4" }
dspy-ai = "^2.4.0"
crewai = "^0.22.5"
-langchain-anthropic = "^0.1.4"
-python-docx = "^1.1.0"
[tool.poetry.group.dev.dependencies]
-pytest-asyncio = "^0.23.1"
types-redis = "^4.6.0.5"
ipykernel = "^6.29.0"
mypy = "^1.8.0"
diff --git a/scripts/setup/setup_env.sh b/scripts/setup/setup_env.sh
new file mode 100644
index 000000000..70f580784
--- /dev/null
+++ b/scripts/setup/setup_env.sh
@@ -0,0 +1,9 @@
+#!/bin/bash
+
+# Create a .env if it doesn't exist, log all cases
+if [ ! -f .env ]; then
+ echo "Creating .env file"
+ touch .env
+else
+ echo ".env file already exists"
+fi
\ No newline at end of file
diff --git a/scripts/setup/update_poetry.sh b/scripts/setup/update_poetry.sh
new file mode 100644
index 000000000..f9b44f9f6
--- /dev/null
+++ b/scripts/setup/update_poetry.sh
@@ -0,0 +1,33 @@
+#!/bin/bash
+
+# Check if version argument is provided
+if [ -z "$1" ]
+then
+ echo "No argument supplied. Please provide the Poetry version to check."
+ exit 1
+fi
+
+echo "Checking Poetry version..."
+
+# Check Poetry version
+poetry_version=$(poetry --version | awk '{print $3}' | tr -d '()')
+echo "Current Poetry version: $poetry_version"
+
+# Compare version
+if [[ "$(printf '%s\n' "$1" "$poetry_version" | sort -V | head -n1)" != "$1" ]]; then
+ echo "Poetry version is lower than $1. Updating..."
+ # Update Poetry
+ poetry self update
+ echo "Poetry updated successfully."
+else
+ echo "Poetry version is $1 or higher. No need to update."
+fi
+
+# Check if poetry-monorepo-dependency-plugin is installed
+if poetry self show | grep -q "poetry-monorepo-dependency-plugin"; then
+ echo "poetry-monorepo-dependency-plugin is already installed."
+else
+ echo "Installing poetry-monorepo-dependency-plugin..."
+ poetry run pip install poetry-monorepo-dependency-plugin
+ echo "poetry-monorepo-dependency-plugin installed successfully."
+fi
\ No newline at end of file
diff --git a/src/backend/langflow/interface/initialize/__init__.py b/src/backend/base/README.md
similarity index 100%
rename from src/backend/langflow/interface/initialize/__init__.py
rename to src/backend/base/README.md
diff --git a/src/backend/langflow/__main__.py b/src/backend/base/langflow/__main__.py
similarity index 87%
rename from src/backend/langflow/__main__.py
rename to src/backend/base/langflow/__main__.py
index ae7b3f979..356a7e7cd 100644
--- a/src/backend/langflow/__main__.py
+++ b/src/backend/base/langflow/__main__.py
@@ -1,23 +1,29 @@
import platform
import socket
import sys
+import time
+import webbrowser
from pathlib import Path
from typing import Optional
+import httpx
import typer
from dotenv import load_dotenv
-from langflow.main import setup_app
-from langflow.services.database.utils import session_getter
-from langflow.services.deps import get_db_service, get_settings_service
-from langflow.services.utils import initialize_services, initialize_settings_service
-from langflow.utils.logger import configure, logger
-from multiprocess import cpu_count # type: ignore
+from multiprocess import (
+ Process, # type: ignore
+ cpu_count, # type: ignore
+)
from rich import box
from rich import print as rprint
from rich.console import Console
from rich.panel import Panel
from rich.table import Table
-from sqlmodel import select
+
+from langflow.main import setup_app
+from langflow.services.database.utils import session_getter
+from langflow.services.deps import get_db_service, get_settings_service
+from langflow.services.utils import initialize_services, initialize_settings_service
+from langflow.utils.logger import configure, logger
console = Console()
@@ -70,7 +76,7 @@ def update_settings(
dev: bool = False,
remove_api_keys: bool = False,
components_path: Optional[Path] = None,
- store: bool = False,
+ store: bool = True,
):
"""Update the settings from a config file."""
@@ -94,33 +100,6 @@ def update_settings(
settings_service.settings.update_settings(STORE=False)
-def version_callback(value: bool):
- """
- Show the version and exit.
- """
- from langflow import __version__
-
- if value:
- typer.echo(f"Langflow Version: {__version__}")
- raise typer.Exit()
-
-
-@app.callback()
-def main_entry_point(
- version: bool = typer.Option(
- None,
- "--version",
- callback=version_callback,
- is_eager=True,
- help="Show the version and exit.",
- ),
-):
- """
- Main entry point for the Langflow CLI.
- """
- pass
-
-
@app.command()
def run(
host: str = typer.Option("127.0.0.1", help="Host to bind the server to.", envvar="LANGFLOW_HOST"),
@@ -212,12 +191,23 @@ def run(
run_on_windows(host, port, log_level, options, app)
else:
# Run using gunicorn on Linux
- run_on_mac_or_linux(host, port, log_level, options, app)
+ run_on_mac_or_linux(host, port, log_level, options, app, open_browser)
-def run_on_mac_or_linux(host, port, log_level, options, app):
+def run_on_mac_or_linux(host, port, log_level, options, app, open_browser=True):
+ webapp_process = Process(target=run_langflow, args=(host, port, log_level, options, app))
+ webapp_process.start()
+ status_code = 0
+ while status_code != 200:
+ try:
+ status_code = httpx.get(f"http://{host}:{port}/health").status_code
+
+ except Exception:
+ time.sleep(1)
+
print_banner(host, port)
- run_langflow(host, port, log_level, options, app)
+ if open_browser:
+ webbrowser.open(f"http://{host}:{port}")
def run_on_windows(host, port, log_level, options, app):
@@ -292,11 +282,10 @@ def run_langflow(host, port, log_level, options, app):
Run Langflow server on localhost
"""
try:
- if platform.system() in ["Windows", "Darwin"]:
+ if platform.system() in ["Windows"]:
# Run using uvicorn on MacOS and Windows
# Windows doesn't support gunicorn
# MacOS requires an env variable to be set to use gunicorn
-
import uvicorn
uvicorn.run(
@@ -310,8 +299,7 @@ def run_langflow(host, port, log_level, options, app):
LangflowApplication(app, options).run()
except KeyboardInterrupt:
- logger.info("Shutting down server")
- sys.exit(0)
+ pass
except Exception as e:
logger.exception(e)
sys.exit(1)
@@ -336,7 +324,7 @@ def superuser(
# Verify that the superuser was created
from langflow.services.database.models.user.model import User
- user: User = session.exec(select(User).where(User.username == username)).first()
+ user: User = session.query(User).filter(User.username == username).first()
if user is None or not user.is_superuser:
typer.echo("Superuser creation failed.")
return
@@ -348,23 +336,11 @@ def superuser(
@app.command()
-def migration(
- test: bool = typer.Option(True, help="Run migrations in test mode."),
- fix: bool = typer.Option(
- False,
- help="Fix migrations. This is a destructive operation, and should only be used if you know what you are doing.",
- ),
-):
+def migration(test: bool = typer.Option(True, help="Run migrations in test mode.")):
"""
Run or test migrations.
"""
- if fix:
- if not typer.confirm(
- "This will delete all data necessary to fix migrations. Are you sure you want to continue?"
- ):
- raise typer.Abort()
-
- initialize_services(fix_migration=fix)
+ initialize_services()
db_service = get_db_service()
if not test:
db_service.run_migrations()
diff --git a/src/backend/langflow/alembic.ini b/src/backend/base/langflow/alembic.ini
similarity index 100%
rename from src/backend/langflow/alembic.ini
rename to src/backend/base/langflow/alembic.ini
diff --git a/src/backend/langflow/alembic/README b/src/backend/base/langflow/alembic/README
similarity index 100%
rename from src/backend/langflow/alembic/README
rename to src/backend/base/langflow/alembic/README
diff --git a/src/backend/langflow/alembic/env.py b/src/backend/base/langflow/alembic/env.py
similarity index 86%
rename from src/backend/langflow/alembic/env.py
rename to src/backend/base/langflow/alembic/env.py
index 55f5afd14..495cbb061 100644
--- a/src/backend/langflow/alembic/env.py
+++ b/src/backend/base/langflow/alembic/env.py
@@ -66,16 +66,10 @@ def run_migrations_online() -> None:
try:
from langflow.services.database.factory import DatabaseServiceFactory
from langflow.services.deps import get_db_service
- from langflow.services.manager import (
- initialize_settings_service,
- service_manager,
- )
- from langflow.services.schema import ServiceType
+ from langflow.services.manager import initialize_settings_service, service_manager
initialize_settings_service()
- service_manager.register_factory(
- DatabaseServiceFactory(), [ServiceType.SETTINGS_SERVICE]
- )
+ service_manager.register_factory(DatabaseServiceFactory())
connectable = get_db_service().engine
except Exception as e:
logger.error(f"Error getting database engine: {e}")
@@ -89,9 +83,7 @@ def run_migrations_online() -> None:
poolclass=pool.NullPool,
)
with connectable.connect() as connection:
- context.configure(
- connection=connection, target_metadata=target_metadata, render_as_batch=True
- )
+ context.configure(connection=connection, target_metadata=target_metadata, render_as_batch=True)
with context.begin_transaction():
context.run_migrations()
diff --git a/src/backend/langflow/helpers/__init__.py b/src/backend/base/langflow/alembic/helpers/__init__.py
similarity index 100%
rename from src/backend/langflow/helpers/__init__.py
rename to src/backend/base/langflow/alembic/helpers/__init__.py
diff --git a/src/backend/base/langflow/alembic/helpers/flow.py b/src/backend/base/langflow/alembic/helpers/flow.py
new file mode 100644
index 000000000..328e99ca1
--- /dev/null
+++ b/src/backend/base/langflow/alembic/helpers/flow.py
@@ -0,0 +1,199 @@
+from typing import TYPE_CHECKING, Any, Callable, Coroutine, List, Optional, Tuple, Union
+
+from pydantic.v1 import BaseModel, Field, create_model
+from sqlmodel import select
+
+from langflow.schema.schema import INPUT_FIELD_NAME, Record
+from langflow.services.database.models.flow.model import Flow
+from langflow.services.deps import session_scope
+
+if TYPE_CHECKING:
+ from langflow.graph.graph.base import Graph
+ from langflow.graph.vertex.base import Vertex
+
+INPUT_TYPE_MAP = {
+ "ChatInput": {"type_hint": "Optional[str]", "default": '""'},
+ "TextInput": {"type_hint": "Optional[str]", "default": '""'},
+ "JSONInput": {"type_hint": "Optional[dict]", "default": "{}"},
+}
+
+
+def list_flows(*, user_id: Optional[str] = None) -> List[Record]:
+ if not user_id:
+ raise ValueError("Session is invalid")
+ try:
+ with session_scope() as session:
+ flows = session.exec(
+ select(Flow).where(Flow.user_id == user_id).where(Flow.is_component == False) # noqa
+ ).all()
+
+ flows_records = [flow.to_record() for flow in flows]
+ return flows_records
+ except Exception as e:
+ raise ValueError(f"Error listing flows: {e}")
+
+
+async def load_flow(
+ user_id: str, flow_id: Optional[str] = None, flow_name: Optional[str] = None, tweaks: Optional[dict] = None
+) -> "Graph":
+ from langflow.graph.graph.base import Graph
+ from langflow.processing.process import process_tweaks
+
+ if not flow_id and not flow_name:
+ raise ValueError("Flow ID or Flow Name is required")
+ if not flow_id and flow_name:
+ flow_id = find_flow(flow_name, user_id)
+ if not flow_id:
+ raise ValueError(f"Flow {flow_name} not found")
+
+ with session_scope() as session:
+ graph_data = flow.data if (flow := session.get(Flow, flow_id)) else None
+ if not graph_data:
+ raise ValueError(f"Flow {flow_id} not found")
+ if tweaks:
+ graph_data = process_tweaks(graph_data=graph_data, tweaks=tweaks)
+ graph = Graph.from_payload(graph_data, flow_id=flow_id)
+ return graph
+
+
+def find_flow(flow_name: str, user_id: str) -> Optional[str]:
+ with session_scope() as session:
+ flow = session.exec(select(Flow).where(Flow.name == flow_name).where(Flow.user_id == user_id)).first()
+ return flow.id if flow else None
+
+
+async def run_flow(
+ inputs: Union[dict, List[dict]] = None,
+ tweaks: Optional[dict] = None,
+ flow_id: Optional[str] = None,
+ flow_name: Optional[str] = None,
+ user_id: Optional[str] = None,
+) -> Any:
+ graph = await load_flow(user_id, flow_id, flow_name, tweaks)
+
+ if inputs is None:
+ inputs = []
+ inputs_list = []
+ inputs_components = []
+ types = []
+ for input_dict in inputs:
+ inputs_list.append({INPUT_FIELD_NAME: input_dict.get("input_value")})
+ inputs_components.append(input_dict.get("components", []))
+ types.append(input_dict.get("type", []))
+
+ return await graph.arun(inputs_list, inputs_components=inputs_components, types=types)
+
+
+def generate_function_for_flow(inputs: List["Vertex"], flow_id: str) -> Coroutine:
+ """
+ Generate a dynamic flow function based on the given inputs and flow ID.
+
+ Args:
+ inputs (List[Vertex]): The list of input vertices for the flow.
+ flow_id (str): The ID of the flow.
+
+ Returns:
+ Coroutine: The dynamic flow function.
+
+ Raises:
+ None
+
+ Example:
+ inputs = [vertex1, vertex2]
+ flow_id = "my_flow"
+ function = generate_function_for_flow(inputs, flow_id)
+ result = function(input1, input2)
+ """
+ # Prepare function arguments with type hints and default values
+ args = [
+ f"{input_.display_name.lower().replace(' ', '_')}: {INPUT_TYPE_MAP[input_.base_name]['type_hint']} = {INPUT_TYPE_MAP[input_.base_name]['default']}"
+ for input_ in inputs
+ ]
+
+ # Maintain original argument names for constructing the tweaks dictionary
+ original_arg_names = [input_.display_name for input_ in inputs]
+
+ # Prepare a Pythonic, valid function argument string
+ func_args = ", ".join(args)
+
+ # Map original argument names to their corresponding Pythonic variable names in the function
+ arg_mappings = ", ".join(
+ f'"{original_name}": {name}'
+ for original_name, name in zip(original_arg_names, [arg.split(":")[0] for arg in args])
+ )
+
+ func_body = f"""
+from typing import Optional
+async def flow_function({func_args}):
+ tweaks = {{ {arg_mappings} }}
+ from langflow.helpers.flow import run_flow
+ from langchain_core.tools import ToolException
+ try:
+ return await run_flow(
+ tweaks={{key: {{'input_value': value}} for key, value in tweaks.items()}},
+ flow_id="{flow_id}",
+ )
+ except Exception as e:
+ raise ToolException(f'Error running flow: ' + e)
+"""
+
+ compiled_func = compile(func_body, "", "exec")
+ local_scope = {}
+ exec(compiled_func, globals(), local_scope)
+ return local_scope["flow_function"]
+
+
+def build_function_and_schema(flow_record: Record, graph: "Graph") -> Tuple[Callable, BaseModel]:
+ """
+ Builds a dynamic function and schema for a given flow.
+
+ Args:
+ flow_record (Record): The flow record containing information about the flow.
+ graph (Graph): The graph representing the flow.
+
+ Returns:
+ Tuple[Callable, BaseModel]: A tuple containing the dynamic function and the schema.
+ """
+ flow_id = flow_record.id
+ inputs = get_flow_inputs(graph)
+ dynamic_flow_function = generate_function_for_flow(inputs, flow_id)
+ schema = build_schema_from_inputs(flow_record.name, inputs)
+ return dynamic_flow_function, schema
+
+
+def get_flow_inputs(graph: "Graph") -> List["Vertex"]:
+ """
+ Retrieves the flow inputs from the given graph.
+
+ Args:
+ graph (Graph): The graph object representing the flow.
+
+ Returns:
+ List[Record]: A list of input records, where each record contains the ID, name, and description of the input vertex.
+ """
+ inputs = []
+ for vertex in graph.vertices:
+ if vertex.is_input:
+ inputs.append(vertex)
+ return inputs
+
+
+def build_schema_from_inputs(name: str, inputs: List[tuple[str, str, str]]) -> BaseModel:
+ """
+ Builds a schema from the given inputs.
+
+ Args:
+ name (str): The name of the schema.
+ inputs (List[tuple[str, str, str]]): A list of tuples representing the inputs.
+ Each tuple contains three elements: the input name, the input type, and the input description.
+
+ Returns:
+ BaseModel: The schema model.
+
+ """
+ fields = {}
+ for input_ in inputs:
+ field_name = input_.display_name.lower().replace(" ", "_")
+ description = input_.description
+ fields[field_name] = (str, Field(default="", description=description))
+ return create_model(name, **fields)
diff --git a/src/backend/langflow/helpers/record.py b/src/backend/base/langflow/alembic/helpers/record.py
similarity index 100%
rename from src/backend/langflow/helpers/record.py
rename to src/backend/base/langflow/alembic/helpers/record.py
diff --git a/src/backend/langflow/alembic/script.py.mako b/src/backend/base/langflow/alembic/script.py.mako
similarity index 100%
rename from src/backend/langflow/alembic/script.py.mako
rename to src/backend/base/langflow/alembic/script.py.mako
diff --git a/src/backend/langflow/alembic/versions/006b3990db50_add_unique_constraints.py b/src/backend/base/langflow/alembic/versions/006b3990db50_add_unique_constraints.py
similarity index 84%
rename from src/backend/langflow/alembic/versions/006b3990db50_add_unique_constraints.py
rename to src/backend/base/langflow/alembic/versions/006b3990db50_add_unique_constraints.py
index e5958ab73..09a0ffa12 100644
--- a/src/backend/langflow/alembic/versions/006b3990db50_add_unique_constraints.py
+++ b/src/backend/base/langflow/alembic/versions/006b3990db50_add_unique_constraints.py
@@ -26,20 +26,13 @@ def upgrade() -> None:
flow_constraints = inspector.get_unique_constraints("flow")
user_constraints = inspector.get_unique_constraints("user")
try:
- if not any(
- constraint["name"] == "uq_apikey_id" for constraint in api_key_constraints
- ):
+ if not any(constraint["name"] == "uq_apikey_id" for constraint in api_key_constraints):
with op.batch_alter_table("apikey", schema=None) as batch_op:
-
batch_op.create_unique_constraint("uq_apikey_id", ["id"])
- if not any(
- constraint["name"] == "uq_flow_id" for constraint in flow_constraints
- ):
+ if not any(constraint["name"] == "uq_flow_id" for constraint in flow_constraints):
with op.batch_alter_table("flow", schema=None) as batch_op:
batch_op.create_unique_constraint("uq_flow_id", ["id"])
- if not any(
- constraint["name"] == "uq_user_id" for constraint in user_constraints
- ):
+ if not any(constraint["name"] == "uq_user_id" for constraint in user_constraints):
with op.batch_alter_table("user", schema=None) as batch_op:
batch_op.create_unique_constraint("uq_user_id", ["id"])
except Exception as e:
@@ -57,16 +50,13 @@ def downgrade() -> None:
flow_constraints = inspector.get_unique_constraints("flow")
user_constraints = inspector.get_unique_constraints("user")
try:
- if any(
- constraint["name"] == "uq_apikey_id" for constraint in api_key_constraints
- ):
+ if any(constraint["name"] == "uq_apikey_id" for constraint in api_key_constraints):
with op.batch_alter_table("user", schema=None) as batch_op:
batch_op.drop_constraint("uq_user_id", type_="unique")
if any(constraint["name"] == "uq_flow_id" for constraint in flow_constraints):
with op.batch_alter_table("flow", schema=None) as batch_op:
batch_op.drop_constraint("uq_flow_id", type_="unique")
if any(constraint["name"] == "uq_user_id" for constraint in user_constraints):
-
with op.batch_alter_table("apikey", schema=None) as batch_op:
batch_op.drop_constraint("uq_apikey_id", type_="unique")
except Exception as e:
diff --git a/src/backend/langflow/alembic/versions/0b8757876a7c_.py b/src/backend/base/langflow/alembic/versions/0b8757876a7c_.py
similarity index 100%
rename from src/backend/langflow/alembic/versions/0b8757876a7c_.py
rename to src/backend/base/langflow/alembic/versions/0b8757876a7c_.py
diff --git a/src/backend/base/langflow/alembic/versions/1a110b568907_replace_credential_table_with_variable.py b/src/backend/base/langflow/alembic/versions/1a110b568907_replace_credential_table_with_variable.py
new file mode 100644
index 000000000..e27d088d0
--- /dev/null
+++ b/src/backend/base/langflow/alembic/versions/1a110b568907_replace_credential_table_with_variable.py
@@ -0,0 +1,65 @@
+"""Replace Credential table with Variable
+
+Revision ID: 1a110b568907
+Revises: 63b9c451fd30
+Create Date: 2024-03-25 09:40:02.743453
+
+"""
+from typing import Sequence, Union
+
+import sqlalchemy as sa
+import sqlmodel
+from alembic import op
+from sqlalchemy.engine.reflection import Inspector
+
+# revision identifiers, used by Alembic.
+revision: str = "1a110b568907"
+down_revision: Union[str, None] = "63b9c451fd30"
+branch_labels: Union[str, Sequence[str], None] = None
+depends_on: Union[str, Sequence[str], None] = None
+
+
+def upgrade() -> None:
+ conn = op.get_bind()
+ inspector = Inspector.from_engine(conn) # type: ignore
+ table_names = inspector.get_table_names()
+ # ### commands auto generated by Alembic - please adjust! ###
+ if "variable" not in table_names:
+ op.create_table(
+ "variable",
+ sa.Column("name", sqlmodel.sql.sqltypes.AutoString(), nullable=True),
+ sa.Column("value", sqlmodel.sql.sqltypes.AutoString(), nullable=True),
+ sa.Column("type", sqlmodel.sql.sqltypes.AutoString(), nullable=True),
+ sa.Column("id", sqlmodel.sql.sqltypes.GUID(), nullable=False),
+ sa.Column("created_at", sa.DateTime(), nullable=False),
+ sa.Column("updated_at", sa.DateTime(), nullable=True),
+ sa.Column("user_id", sqlmodel.sql.sqltypes.GUID(), nullable=False),
+ sa.ForeignKeyConstraint(["user_id"], ["user.id"], name="fk_variable_user_id"),
+ sa.PrimaryKeyConstraint("id"),
+ )
+ if "credential" in table_names:
+ op.drop_table("credential")
+ # ### end Alembic commands ###
+
+
+def downgrade() -> None:
+ conn = op.get_bind()
+ inspector = Inspector.from_engine(conn) # type: ignore
+ table_names = inspector.get_table_names()
+ # ### commands auto generated by Alembic - please adjust! ###
+ if "credential" not in table_names:
+ op.create_table(
+ "credential",
+ sa.Column("name", sa.VARCHAR(), nullable=True),
+ sa.Column("value", sa.VARCHAR(), nullable=True),
+ sa.Column("provider", sa.VARCHAR(), nullable=True),
+ sa.Column("user_id", sa.CHAR(length=32), nullable=False),
+ sa.Column("id", sa.CHAR(length=32), nullable=False),
+ sa.Column("created_at", sa.DATETIME(), nullable=False),
+ sa.Column("updated_at", sa.DATETIME(), nullable=True),
+ sa.ForeignKeyConstraint(["user_id"], ["user.id"], name="fk_credential_user_id"),
+ sa.PrimaryKeyConstraint("id"),
+ )
+ if "variable" in table_names:
+ op.drop_table("variable")
+ # ### end Alembic commands ###
diff --git a/src/backend/langflow/alembic/versions/1ef9c4f3765d_.py b/src/backend/base/langflow/alembic/versions/1ef9c4f3765d_.py
similarity index 83%
rename from src/backend/langflow/alembic/versions/1ef9c4f3765d_.py
rename to src/backend/base/langflow/alembic/versions/1ef9c4f3765d_.py
index df92f1f02..db78e33bd 100644
--- a/src/backend/langflow/alembic/versions/1ef9c4f3765d_.py
+++ b/src/backend/base/langflow/alembic/versions/1ef9c4f3765d_.py
@@ -24,10 +24,8 @@ def upgrade() -> None:
# ### commands auto generated by Alembic - please adjust! ###
try:
with op.batch_alter_table("apikey", schema=None) as batch_op:
- batch_op.alter_column(
- "name", existing_type=sqlmodel.sql.sqltypes.AutoString(), nullable=True
- )
- except Exception as e:
+ batch_op.alter_column("name", existing_type=sqlmodel.sql.sqltypes.AutoString(), nullable=True)
+ except Exception:
pass
# ### end Alembic commands ###
@@ -37,6 +35,6 @@ def downgrade() -> None:
try:
with op.batch_alter_table("apikey", schema=None) as batch_op:
batch_op.alter_column("name", existing_type=sa.VARCHAR(), nullable=False)
- except Exception as e:
+ except Exception:
pass
# ### end Alembic commands ###
diff --git a/src/backend/langflow/alembic/versions/260dbcc8b680_adds_tables.py b/src/backend/base/langflow/alembic/versions/260dbcc8b680_adds_tables.py
similarity index 81%
rename from src/backend/langflow/alembic/versions/260dbcc8b680_adds_tables.py
rename to src/backend/base/langflow/alembic/versions/260dbcc8b680_adds_tables.py
index 0d7eed582..01db957fe 100644
--- a/src/backend/langflow/alembic/versions/260dbcc8b680_adds_tables.py
+++ b/src/backend/base/langflow/alembic/versions/260dbcc8b680_adds_tables.py
@@ -31,23 +31,16 @@ def upgrade() -> None:
# and other related indices
if "flowstyle" in existing_tables:
op.drop_table("flowstyle")
- if "ix_flowstyle_flow_id" in [
- index["name"] for index in inspector.get_indexes("flowstyle")
- ]:
- op.drop_index(
- "ix_flowstyle_flow_id", table_name="flowstyle", if_exists=True
- )
+ if "ix_flowstyle_flow_id" in [index["name"] for index in inspector.get_indexes("flowstyle")]:
+ op.drop_index("ix_flowstyle_flow_id", table_name="flowstyle", if_exists=True)
existing_indices_flow = []
existing_fks_flow = []
if "flow" in existing_tables:
- existing_indices_flow = [
- index["name"] for index in inspector.get_indexes("flow")
- ]
+ existing_indices_flow = [index["name"] for index in inspector.get_indexes("flow")]
# Existing foreign keys for the 'flow' table, if it exists
existing_fks_flow = [
- fk["referred_table"] + "." + fk["referred_columns"][0]
- for fk in inspector.get_foreign_keys("flow")
+ fk["referred_table"] + "." + fk["referred_columns"][0] for fk in inspector.get_foreign_keys("flow")
]
# Now check if the columns user_id exists in the 'flow' table
# If it does not exist, we need to create the foreign key
@@ -67,9 +60,7 @@ def upgrade() -> None:
sa.UniqueConstraint("id", name="uq_user_id"),
)
with op.batch_alter_table("user", schema=None) as batch_op:
- batch_op.create_index(
- batch_op.f("ix_user_username"), ["username"], unique=True
- )
+ batch_op.create_index(batch_op.f("ix_user_username"), ["username"], unique=True)
if "apikey" not in existing_tables:
op.create_table(
@@ -82,20 +73,14 @@ def upgrade() -> None:
sa.Column("id", sqlmodel.sql.sqltypes.GUID(), nullable=False),
sa.Column("api_key", sqlmodel.sql.sqltypes.AutoString(), nullable=False),
sa.Column("user_id", sqlmodel.sql.sqltypes.GUID(), nullable=False),
- sa.ForeignKeyConstraint(
- ["user_id"], ["user.id"], name="fk_apikey_user_id_user"
- ),
+ sa.ForeignKeyConstraint(["user_id"], ["user.id"], name="fk_apikey_user_id_user"),
sa.PrimaryKeyConstraint("id", name="pk_apikey"),
sa.UniqueConstraint("id", name="uq_apikey_id"),
)
with op.batch_alter_table("apikey", schema=None) as batch_op:
- batch_op.create_index(
- batch_op.f("ix_apikey_api_key"), ["api_key"], unique=True
- )
+ batch_op.create_index(batch_op.f("ix_apikey_api_key"), ["api_key"], unique=True)
batch_op.create_index(batch_op.f("ix_apikey_name"), ["name"], unique=False)
- batch_op.create_index(
- batch_op.f("ix_apikey_user_id"), ["user_id"], unique=False
- )
+ batch_op.create_index(batch_op.f("ix_apikey_user_id"), ["user_id"], unique=False)
if "flow" not in existing_tables:
op.create_table(
"flow",
@@ -104,9 +89,7 @@ def upgrade() -> None:
sa.Column("description", sqlmodel.sql.sqltypes.AutoString(), nullable=True),
sa.Column("id", sqlmodel.sql.sqltypes.GUID(), nullable=False),
sa.Column("user_id", sqlmodel.sql.sqltypes.GUID(), nullable=False),
- sa.ForeignKeyConstraint(
- ["user_id"], ["user.id"], name="fk_flow_user_id_user"
- ),
+ sa.ForeignKeyConstraint(["user_id"], ["user.id"], name="fk_flow_user_id_user"),
sa.PrimaryKeyConstraint("id", name="pk_flow"),
sa.UniqueConstraint("id", name="uq_flow_id"),
)
@@ -129,16 +112,12 @@ def upgrade() -> None:
if "user.id" not in existing_fks_flow:
batch_op.create_foreign_key("fk_flow_user_id", "user", ["user_id"], ["id"])
if "ix_flow_description" not in existing_indices_flow:
- batch_op.create_index(
- batch_op.f("ix_flow_description"), ["description"], unique=False
- )
+ batch_op.create_index(batch_op.f("ix_flow_description"), ["description"], unique=False)
if "ix_flow_name" not in existing_indices_flow:
batch_op.create_index(batch_op.f("ix_flow_name"), ["name"], unique=False)
with op.batch_alter_table("flow", schema=None) as batch_op:
if "ix_flow_user_id" not in existing_indices_flow:
- batch_op.create_index(
- batch_op.f("ix_flow_user_id"), ["user_id"], unique=False
- )
+ batch_op.create_index(batch_op.f("ix_flow_user_id"), ["user_id"], unique=False)
# ### end Alembic commands ###
@@ -169,10 +148,4 @@ def downgrade() -> None:
batch_op.drop_index(batch_op.f("ix_user_username"), if_exists=True)
op.drop_table("user")
-
- if "flowstyle" in existing_tables:
- op.drop_table("flowstyle")
-
- if "component" in existing_tables:
- op.drop_table("component")
# ### end Alembic commands ###
diff --git a/src/backend/langflow/alembic/versions/2ac71eb9c3ae_adds_credential_table.py b/src/backend/base/langflow/alembic/versions/2ac71eb9c3ae_adds_credential_table.py
similarity index 92%
rename from src/backend/langflow/alembic/versions/2ac71eb9c3ae_adds_credential_table.py
rename to src/backend/base/langflow/alembic/versions/2ac71eb9c3ae_adds_credential_table.py
index ce2d2cd76..2250a8b8c 100644
--- a/src/backend/langflow/alembic/versions/2ac71eb9c3ae_adds_credential_table.py
+++ b/src/backend/base/langflow/alembic/versions/2ac71eb9c3ae_adds_credential_table.py
@@ -31,9 +31,7 @@ def upgrade() -> None:
"credential",
sa.Column("name", sqlmodel.sql.sqltypes.AutoString(), nullable=True),
sa.Column("value", sqlmodel.sql.sqltypes.AutoString(), nullable=True),
- sa.Column(
- "provider", sqlmodel.sql.sqltypes.AutoString(), nullable=True
- ),
+ sa.Column("provider", sqlmodel.sql.sqltypes.AutoString(), nullable=True),
sa.Column("user_id", sqlmodel.sql.sqltypes.GUID(), nullable=False),
sa.Column("id", sqlmodel.sql.sqltypes.GUID(), nullable=False),
sa.Column("created_at", sa.DateTime(), nullable=False),
diff --git a/src/backend/langflow/alembic/versions/63b9c451fd30_add_icon_and_icon_bg_color_to_flow.py b/src/backend/base/langflow/alembic/versions/63b9c451fd30_add_icon_and_icon_bg_color_to_flow.py
similarity index 78%
rename from src/backend/langflow/alembic/versions/63b9c451fd30_add_icon_and_icon_bg_color_to_flow.py
rename to src/backend/base/langflow/alembic/versions/63b9c451fd30_add_icon_and_icon_bg_color_to_flow.py
index 3deb66346..c6d6893e3 100644
--- a/src/backend/langflow/alembic/versions/63b9c451fd30_add_icon_and_icon_bg_color_to_flow.py
+++ b/src/backend/base/langflow/alembic/versions/63b9c451fd30_add_icon_and_icon_bg_color_to_flow.py
@@ -23,20 +23,14 @@ depends_on: Union[str, Sequence[str], None] = None
def upgrade() -> None:
conn = op.get_bind()
inspector = Inspector.from_engine(conn) # type: ignore
- table_names = inspector.get_table_names()
+ table_names = inspector.get_table_names() # noqa
column_names = [column["name"] for column in inspector.get_columns("flow")]
# ### commands auto generated by Alembic - please adjust! ###
with op.batch_alter_table("flow", schema=None) as batch_op:
if "icon" not in column_names:
- batch_op.add_column(
- sa.Column("icon", sqlmodel.sql.sqltypes.AutoString(), nullable=True)
- )
+ batch_op.add_column(sa.Column("icon", sqlmodel.sql.sqltypes.AutoString(), nullable=True))
if "icon_bg_color" not in column_names:
- batch_op.add_column(
- sa.Column(
- "icon_bg_color", sqlmodel.sql.sqltypes.AutoString(), nullable=True
- )
- )
+ batch_op.add_column(sa.Column("icon_bg_color", sqlmodel.sql.sqltypes.AutoString(), nullable=True))
# ### end Alembic commands ###
@@ -44,7 +38,7 @@ def upgrade() -> None:
def downgrade() -> None:
conn = op.get_bind()
inspector = Inspector.from_engine(conn) # type: ignore
- table_names = inspector.get_table_names()
+ table_names = inspector.get_table_names() # noqa
column_names = [column["name"] for column in inspector.get_columns("flow")]
# ### commands auto generated by Alembic - please adjust! ###
with op.batch_alter_table("flow", schema=None) as batch_op:
diff --git a/src/backend/langflow/alembic/versions/67cc006d50bf_add_profile_image_column.py b/src/backend/base/langflow/alembic/versions/67cc006d50bf_add_profile_image_column.py
similarity index 100%
rename from src/backend/langflow/alembic/versions/67cc006d50bf_add_profile_image_column.py
rename to src/backend/base/langflow/alembic/versions/67cc006d50bf_add_profile_image_column.py
diff --git a/src/backend/langflow/alembic/versions/7843803a87b5_store_updates.py b/src/backend/base/langflow/alembic/versions/7843803a87b5_store_updates.py
similarity index 82%
rename from src/backend/langflow/alembic/versions/7843803a87b5_store_updates.py
rename to src/backend/base/langflow/alembic/versions/7843803a87b5_store_updates.py
index b1565cd0f..d2a576410 100644
--- a/src/backend/langflow/alembic/versions/7843803a87b5_store_updates.py
+++ b/src/backend/base/langflow/alembic/versions/7843803a87b5_store_updates.py
@@ -29,18 +29,14 @@ def upgrade() -> None:
try:
if "is_component" not in flow_columns:
with op.batch_alter_table("flow", schema=None) as batch_op:
- batch_op.add_column(
- sa.Column("is_component", sa.Boolean(), nullable=True)
- )
- except Exception as e:
+ batch_op.add_column(sa.Column("is_component", sa.Boolean(), nullable=True))
+ except Exception:
pass
try:
if "store_api_key" not in user_columns:
with op.batch_alter_table("user", schema=None) as batch_op:
- batch_op.add_column(
- sa.Column("store_api_key", sqlmodel.AutoString(), nullable=True)
- )
- except Exception as e:
+ batch_op.add_column(sa.Column("store_api_key", sqlmodel.AutoString(), nullable=True))
+ except Exception:
pass
# ### end Alembic commands ###
diff --git a/src/backend/langflow/alembic/versions/7d2162acc8b2_adds_updated_at_and_folder_cols.py b/src/backend/base/langflow/alembic/versions/7d2162acc8b2_adds_updated_at_and_folder_cols.py
similarity index 80%
rename from src/backend/langflow/alembic/versions/7d2162acc8b2_adds_updated_at_and_folder_cols.py
rename to src/backend/base/langflow/alembic/versions/7d2162acc8b2_adds_updated_at_and_folder_cols.py
index 5ed929568..b46400899 100644
--- a/src/backend/langflow/alembic/versions/7d2162acc8b2_adds_updated_at_and_folder_cols.py
+++ b/src/backend/base/langflow/alembic/versions/7d2162acc8b2_adds_updated_at_and_folder_cols.py
@@ -30,9 +30,7 @@ def upgrade() -> None:
try:
if "name" in api_key_columns:
with op.batch_alter_table("apikey", schema=None) as batch_op:
- batch_op.alter_column(
- "name", existing_type=sa.VARCHAR(), nullable=False
- )
+ batch_op.alter_column("name", existing_type=sa.VARCHAR(), nullable=False)
except Exception as e:
print(e)
@@ -40,15 +38,9 @@ def upgrade() -> None:
try:
with op.batch_alter_table("flow", schema=None) as batch_op:
if "updated_at" not in flow_columns:
- batch_op.add_column(
- sa.Column("updated_at", sa.DateTime(), nullable=True)
- )
+ batch_op.add_column(sa.Column("updated_at", sa.DateTime(), nullable=True))
if "folder" not in flow_columns:
- batch_op.add_column(
- sa.Column(
- "folder", sqlmodel.sql.sqltypes.AutoString(), nullable=True
- )
- )
+ batch_op.add_column(sa.Column("folder", sqlmodel.sql.sqltypes.AutoString(), nullable=True))
except Exception as e:
print(e)
@@ -68,7 +60,6 @@ def downgrade() -> None:
pass
try:
-
with op.batch_alter_table("apikey", schema=None) as batch_op:
batch_op.alter_column("name", existing_type=sa.VARCHAR(), nullable=True)
except Exception as e:
diff --git a/src/backend/langflow/alembic/versions/b2fa308044b5_add_unique_constraints.py b/src/backend/base/langflow/alembic/versions/b2fa308044b5_add_unique_constraints.py
similarity index 81%
rename from src/backend/langflow/alembic/versions/b2fa308044b5_add_unique_constraints.py
rename to src/backend/base/langflow/alembic/versions/b2fa308044b5_add_unique_constraints.py
index bb3c0c7cd..ed5317bf5 100644
--- a/src/backend/langflow/alembic/versions/b2fa308044b5_add_unique_constraints.py
+++ b/src/backend/base/langflow/alembic/versions/b2fa308044b5_add_unique_constraints.py
@@ -32,33 +32,19 @@ def upgrade() -> None:
with op.batch_alter_table("flow", schema=None) as batch_op:
flow_columns = [column["name"] for column in inspector.get_columns("flow")]
if "is_component" not in flow_columns:
- batch_op.add_column(
- sa.Column("is_component", sa.Boolean(), nullable=True)
- )
+ batch_op.add_column(sa.Column("is_component", sa.Boolean(), nullable=True))
if "updated_at" not in flow_columns:
- batch_op.add_column(
- sa.Column("updated_at", sa.DateTime(), nullable=True)
- )
+ batch_op.add_column(sa.Column("updated_at", sa.DateTime(), nullable=True))
if "folder" not in flow_columns:
- batch_op.add_column(
- sa.Column(
- "folder", sqlmodel.sql.sqltypes.AutoString(), nullable=True
- )
- )
+ batch_op.add_column(sa.Column("folder", sqlmodel.sql.sqltypes.AutoString(), nullable=True))
if "user_id" not in flow_columns:
- batch_op.add_column(
- sa.Column("user_id", sqlmodel.sql.sqltypes.GUID(), nullable=True)
- )
+ batch_op.add_column(sa.Column("user_id", sqlmodel.sql.sqltypes.GUID(), nullable=True))
indices = inspector.get_indexes("flow")
indices_names = [index["name"] for index in indices]
if "ix_flow_user_id" not in indices_names:
- batch_op.create_index(
- batch_op.f("ix_flow_user_id"), ["user_id"], unique=False
- )
+ batch_op.create_index(batch_op.f("ix_flow_user_id"), ["user_id"], unique=False)
if "fk_flow_user_id_user" not in indices_names:
- batch_op.create_foreign_key(
- "fk_flow_user_id_user", "user", ["user_id"], ["id"]
- )
+ batch_op.create_foreign_key("fk_flow_user_id_user", "user", ["user_id"], ["id"])
except Exception:
pass
diff --git a/src/backend/langflow/alembic/versions/bc2f01c40e4a_new_fixes.py b/src/backend/base/langflow/alembic/versions/bc2f01c40e4a_new_fixes.py
similarity index 82%
rename from src/backend/langflow/alembic/versions/bc2f01c40e4a_new_fixes.py
rename to src/backend/base/langflow/alembic/versions/bc2f01c40e4a_new_fixes.py
index cfbf74f06..e0fa1add8 100644
--- a/src/backend/langflow/alembic/versions/bc2f01c40e4a_new_fixes.py
+++ b/src/backend/base/langflow/alembic/versions/bc2f01c40e4a_new_fixes.py
@@ -33,21 +33,13 @@ def upgrade() -> None:
if "updated_at" not in flow_columns:
batch_op.add_column(sa.Column("updated_at", sa.DateTime(), nullable=True))
if "folder" not in flow_columns:
- batch_op.add_column(
- sa.Column("folder", sqlmodel.sql.sqltypes.AutoString(), nullable=True)
- )
+ batch_op.add_column(sa.Column("folder", sqlmodel.sql.sqltypes.AutoString(), nullable=True))
if "user_id" not in flow_columns:
- batch_op.add_column(
- sa.Column("user_id", sqlmodel.sql.sqltypes.GUID(), nullable=True)
- )
+ batch_op.add_column(sa.Column("user_id", sqlmodel.sql.sqltypes.GUID(), nullable=True))
if "ix_flow_user_id" not in flow_indexes:
- batch_op.create_index(
- batch_op.f("ix_flow_user_id"), ["user_id"], unique=False
- )
+ batch_op.create_index(batch_op.f("ix_flow_user_id"), ["user_id"], unique=False)
if "flow_user_id_fkey" not in flow_fks:
- batch_op.create_foreign_key(
- "flow_user_id_fkey", "user", ["user_id"], ["id"]
- )
+ batch_op.create_foreign_key("flow_user_id_fkey", "user", ["user_id"], ["id"])
def downgrade() -> None:
diff --git a/src/backend/langflow/alembic/versions/eb5866d51fd2_change_columns_to_be_nullable.py b/src/backend/base/langflow/alembic/versions/eb5866d51fd2_change_columns_to_be_nullable.py
similarity index 94%
rename from src/backend/langflow/alembic/versions/eb5866d51fd2_change_columns_to_be_nullable.py
rename to src/backend/base/langflow/alembic/versions/eb5866d51fd2_change_columns_to_be_nullable.py
index 4da04c325..acb09cd5f 100644
--- a/src/backend/langflow/alembic/versions/eb5866d51fd2_change_columns_to_be_nullable.py
+++ b/src/backend/base/langflow/alembic/versions/eb5866d51fd2_change_columns_to_be_nullable.py
@@ -19,7 +19,7 @@ depends_on: Union[str, Sequence[str], None] = None
def upgrade() -> None:
# ### commands auto generated by Alembic - please adjust! ###
- connection = op.get_bind()
+ connection = op.get_bind() # noqa
pass
# ### end Alembic commands ###
diff --git a/src/backend/langflow/alembic/versions/f5ee9749d1a6_user_id_can_be_null_in_flow.py b/src/backend/base/langflow/alembic/versions/f5ee9749d1a6_user_id_can_be_null_in_flow.py
similarity index 79%
rename from src/backend/langflow/alembic/versions/f5ee9749d1a6_user_id_can_be_null_in_flow.py
rename to src/backend/base/langflow/alembic/versions/f5ee9749d1a6_user_id_can_be_null_in_flow.py
index 494de22ac..842c55857 100644
--- a/src/backend/langflow/alembic/versions/f5ee9749d1a6_user_id_can_be_null_in_flow.py
+++ b/src/backend/base/langflow/alembic/versions/f5ee9749d1a6_user_id_can_be_null_in_flow.py
@@ -22,9 +22,7 @@ def upgrade() -> None:
# ### commands auto generated by Alembic - please adjust! ###
try:
with op.batch_alter_table("flow", schema=None) as batch_op:
- batch_op.alter_column(
- "user_id", existing_type=sa.CHAR(length=32), nullable=True
- )
+ batch_op.alter_column("user_id", existing_type=sa.CHAR(length=32), nullable=True)
except Exception as e:
print(e)
pass
@@ -36,9 +34,7 @@ def downgrade() -> None:
# ### commands auto generated by Alembic - please adjust! ###
try:
with op.batch_alter_table("flow", schema=None) as batch_op:
- batch_op.alter_column(
- "user_id", existing_type=sa.CHAR(length=32), nullable=False
- )
+ batch_op.alter_column("user_id", existing_type=sa.CHAR(length=32), nullable=False)
except Exception as e:
print(e)
pass
diff --git a/src/backend/langflow/alembic/versions/fd531f8868b1_fix_credential_table.py b/src/backend/base/langflow/alembic/versions/fd531f8868b1_fix_credential_table.py
similarity index 93%
rename from src/backend/langflow/alembic/versions/fd531f8868b1_fix_credential_table.py
rename to src/backend/base/langflow/alembic/versions/fd531f8868b1_fix_credential_table.py
index 77e6acd75..de69b491d 100644
--- a/src/backend/langflow/alembic/versions/fd531f8868b1_fix_credential_table.py
+++ b/src/backend/base/langflow/alembic/versions/fd531f8868b1_fix_credential_table.py
@@ -31,9 +31,7 @@ def upgrade() -> None:
try:
if "credential" in tables and "fk_credential_user_id" not in foreign_keys_names:
with op.batch_alter_table("credential", schema=None) as batch_op:
- batch_op.create_foreign_key(
- "fk_credential_user_id", "user", ["user_id"], ["id"]
- )
+ batch_op.create_foreign_key("fk_credential_user_id", "user", ["user_id"], ["id"])
except Exception as e:
print(e)
pass
diff --git a/src/backend/langflow/api/__init__.py b/src/backend/base/langflow/api/__init__.py
similarity index 100%
rename from src/backend/langflow/api/__init__.py
rename to src/backend/base/langflow/api/__init__.py
diff --git a/src/backend/langflow/api/router.py b/src/backend/base/langflow/api/router.py
similarity index 100%
rename from src/backend/langflow/api/router.py
rename to src/backend/base/langflow/api/router.py
diff --git a/src/backend/langflow/api/utils.py b/src/backend/base/langflow/api/utils.py
similarity index 100%
rename from src/backend/langflow/api/utils.py
rename to src/backend/base/langflow/api/utils.py
diff --git a/src/backend/langflow/api/v1/__init__.py b/src/backend/base/langflow/api/v1/__init__.py
similarity index 100%
rename from src/backend/langflow/api/v1/__init__.py
rename to src/backend/base/langflow/api/v1/__init__.py
diff --git a/src/backend/langflow/api/v1/api_key.py b/src/backend/base/langflow/api/v1/api_key.py
similarity index 89%
rename from src/backend/langflow/api/v1/api_key.py
rename to src/backend/base/langflow/api/v1/api_key.py
index 48cf7d1ca..77466960d 100644
--- a/src/backend/langflow/api/v1/api_key.py
+++ b/src/backend/base/langflow/api/v1/api_key.py
@@ -8,20 +8,10 @@ from langflow.api.v1.schemas import ApiKeyCreateRequest, ApiKeysResponse
from langflow.services.auth import utils as auth_utils
# Assuming you have these methods in your service layer
-from langflow.services.database.models.api_key.crud import (
- create_api_key,
- delete_api_key,
- get_api_keys,
-)
-from langflow.services.database.models.api_key.model import (
- ApiKeyCreate,
- UnmaskedApiKeyRead,
-)
+from langflow.services.database.models.api_key.crud import create_api_key, delete_api_key, get_api_keys
+from langflow.services.database.models.api_key.model import ApiKeyCreate, UnmaskedApiKeyRead
from langflow.services.database.models.user.model import User
-from langflow.services.deps import (
- get_session,
- get_settings_service,
-)
+from langflow.services.deps import get_session, get_settings_service
if TYPE_CHECKING:
pass
diff --git a/src/backend/langflow/api/v1/base.py b/src/backend/base/langflow/api/v1/base.py
similarity index 100%
rename from src/backend/langflow/api/v1/base.py
rename to src/backend/base/langflow/api/v1/base.py
diff --git a/src/backend/langflow/api/v1/callback.py b/src/backend/base/langflow/api/v1/callback.py
similarity index 100%
rename from src/backend/langflow/api/v1/callback.py
rename to src/backend/base/langflow/api/v1/callback.py
diff --git a/src/backend/langflow/api/v1/chat.py b/src/backend/base/langflow/api/v1/chat.py
similarity index 69%
rename from src/backend/langflow/api/v1/chat.py
rename to src/backend/base/langflow/api/v1/chat.py
index 8cdeb6f05..613a2fc51 100644
--- a/src/backend/langflow/api/v1/chat.py
+++ b/src/backend/base/langflow/api/v1/chat.py
@@ -1,18 +1,13 @@
import time
import uuid
+from functools import partial
from typing import TYPE_CHECKING, Annotated, Optional
from fastapi import APIRouter, BackgroundTasks, Body, Depends, HTTPException
from fastapi.responses import StreamingResponse
from loguru import logger
-from langflow.api.utils import (
- build_and_cache_graph,
- format_elapsed_time,
- format_exception_message,
- get_next_runnable_vertices,
- get_top_level_vertices,
-)
+from langflow.api.utils import build_and_cache_graph, format_elapsed_time, format_exception_message
from langflow.api.v1.schemas import (
InputValueRequest,
ResultDataResponse,
@@ -56,7 +51,22 @@ async def get_vertices(
chat_service: "ChatService" = Depends(get_chat_service),
session=Depends(get_session),
):
- """Check the flow_id is in the flow_data_store."""
+ """
+ Retrieve the vertices order for a given flow.
+
+ Args:
+ flow_id (str): The ID of the flow.
+ stop_component_id (str, optional): The ID of the stop component. Defaults to None.
+ start_component_id (str, optional): The ID of the start component. Defaults to None.
+ chat_service (ChatService, optional): The chat service dependency. Defaults to Depends(get_chat_service).
+ session (Session, optional): The session dependency. Defaults to Depends(get_session).
+
+ Returns:
+ VerticesOrderResponse: The response containing the ordered vertex IDs and the run ID.
+
+ Raises:
+ HTTPException: If there is an error checking the build status.
+ """
try:
# First, we need to check if the flow_id is in the cache
graph = None
@@ -65,19 +75,25 @@ async def get_vertices(
graph = await build_and_cache_graph(flow_id, session, chat_service, graph)
if stop_component_id or start_component_id:
try:
- vertices = graph.sort_vertices(stop_component_id, start_component_id)
+ first_layer = graph.sort_vertices(stop_component_id, start_component_id)
except Exception as exc:
logger.error(exc)
- vertices = graph.sort_vertices()
+ first_layer = graph.sort_vertices()
else:
- vertices = graph.sort_vertices()
+ first_layer = graph.sort_vertices()
+ # When we send vertices to the frontend
+ # we need to remove them from the predecessors
+ # so they are not considered for building again
+ # which duplicates the results
+ for vertex_id in first_layer:
+ graph.remove_from_predecessors(vertex_id)
# Now vertices is a list of lists
# We need to get the id of each vertex
# and return the same structure but only with the ids
run_id = uuid.uuid4()
graph.set_run_id(run_id)
- return VerticesOrderResponse(ids=vertices, run_id=run_id)
+ return VerticesOrderResponse(ids=first_layer, run_id=run_id, vertices_to_run=list(graph.vertices_to_run))
except Exception as exc:
logger.error(f"Error checking build status: {exc}")
@@ -94,7 +110,23 @@ async def build_vertex(
chat_service: "ChatService" = Depends(get_chat_service),
current_user=Depends(get_current_active_user),
):
- """Build a vertex instead of the entire graph."""
+ """Build a vertex instead of the entire graph.
+
+ Args:
+ flow_id (str): The ID of the flow.
+ vertex_id (str): The ID of the vertex to build.
+ background_tasks (BackgroundTasks): The background tasks object for logging.
+ inputs (Optional[InputValueRequest], optional): The input values for the vertex. Defaults to None.
+ chat_service (ChatService, optional): The chat service dependency. Defaults to Depends(get_chat_service).
+ current_user (Any, optional): The current user dependency. Defaults to Depends(get_current_active_user).
+
+ Returns:
+ VertexBuildResponse: The response containing the built vertex information.
+
+ Raises:
+ HTTPException: If there is an error building the vertex.
+
+ """
start_time = time.perf_counter()
next_runnable_vertices = []
@@ -110,23 +142,25 @@ async def build_vertex(
graph = cache.get("result")
result_data_response = ResultDataResponse(results={})
duration = ""
-
vertex = graph.get_vertex(vertex_id)
try:
- if not vertex.frozen or not vertex._built:
- inputs_dict = inputs.model_dump() if inputs else {}
- await vertex.build(user_id=current_user.id, inputs=inputs_dict)
-
- if vertex.result is not None:
- params = vertex._built_object_repr()
- valid = True
- result_dict = vertex.result
- artifacts = vertex.artifacts
- else:
- raise ValueError(f"No result found for vertex {vertex_id}")
-
- next_runnable_vertices = await get_next_runnable_vertices(graph, vertex, vertex_id, chat_service, flow_id)
- top_level_vertices = get_top_level_vertices(graph, next_runnable_vertices)
+ lock = chat_service._cache_locks[flow_id]
+ set_cache_coro = partial(chat_service.set_cache, flow_id=flow_id)
+ (
+ next_runnable_vertices,
+ top_level_vertices,
+ result_dict,
+ params,
+ valid,
+ artifacts,
+ vertex,
+ ) = await graph.build_vertex(
+ lock=lock,
+ set_cache_coro=set_cache_coro,
+ vertex_id=vertex_id,
+ user_id=current_user.id,
+ inputs_dict=inputs.model_dump() if inputs else {},
+ )
result_data_response = ResultDataResponse(**result_dict.model_dump())
except Exception as exc:
@@ -185,9 +219,6 @@ async def build_vertex(
raise HTTPException(status_code=500, detail=str(exc)) from exc
-# Now onto an endpoint that is an SSE endpoint
-# it will receive a component_id and a flow_id
-#
@router.get("/build/{flow_id}/{vertex_id}/stream", response_class=StreamingResponse)
async def build_vertex_stream(
flow_id: str,
@@ -196,7 +227,31 @@ async def build_vertex_stream(
chat_service: "ChatService" = Depends(get_chat_service),
session_service: "SessionService" = Depends(get_session_service),
):
- """Build a vertex instead of the entire graph."""
+ """Build a vertex instead of the entire graph.
+
+ This function is responsible for building a single vertex instead of the entire graph.
+ It takes the `flow_id` and `vertex_id` as required parameters, and an optional `session_id`.
+ It also depends on the `ChatService` and `SessionService` services.
+
+ If `session_id` is not provided, it retrieves the graph from the cache using the `chat_service`.
+ If `session_id` is provided, it loads the session data using the `session_service`.
+
+ Once the graph is obtained, it retrieves the specified vertex using the `vertex_id`.
+ If the vertex does not support streaming, an error is raised.
+ If the vertex has a built result, it sends the result as a chunk.
+ If the vertex is not frozen or not built, it streams the vertex data.
+ If the vertex has a result, it sends the result as a chunk.
+ If none of the above conditions are met, an error is raised.
+
+ If any exception occurs during the process, an error message is sent.
+ Finally, the stream is closed.
+
+ Returns:
+ A `StreamingResponse` object with the streamed vertex data in text/event-stream format.
+
+ Raises:
+ HTTPException: If an error occurs while building the vertex.
+ """
try:
async def stream_vertex():
diff --git a/src/backend/langflow/api/v1/endpoints.py b/src/backend/base/langflow/api/v1/endpoints.py
similarity index 90%
rename from src/backend/langflow/api/v1/endpoints.py
rename to src/backend/base/langflow/api/v1/endpoints.py
index cea43c496..7886321f7 100644
--- a/src/backend/langflow/api/v1/endpoints.py
+++ b/src/backend/base/langflow/api/v1/endpoints.py
@@ -17,6 +17,7 @@ from langflow.api.v1.schemas import (
UpdateCustomComponentRequest,
UploadFileResponse,
)
+from langflow.graph.graph.base import Graph
from langflow.graph.schema import RunOutputs
from langflow.interface.custom.custom_component import CustomComponent
from langflow.interface.custom.directory_reader import DirectoryReader
@@ -53,7 +54,7 @@ def get_all(
async def run_flow_with_caching(
session: Annotated[Session, Depends(get_session)],
flow_id: str,
- inputs: Optional[List[InputValueRequest]] = [],
+ inputs: Optional[List[InputValueRequest]] = [InputValueRequest(components=[], input_value="")],
outputs: Optional[List[str]] = [],
tweaks: Annotated[Optional[Tweaks], Body(embed=True)] = None, # noqa: F821
stream: Annotated[bool, Body(embed=True)] = False, # noqa: F821
@@ -102,23 +103,13 @@ async def run_flow_with_caching(
if outputs is None:
outputs = []
+ task_result: List[RunOutputs] = []
+ artifacts = {}
if session_id:
session_data = await session_service.load_session(session_id, flow_id=flow_id)
graph, artifacts = session_data if session_data else (None, None)
- task_result: List[RunOutputs] = []
- if not graph:
- raise ValueError("Graph not found in the session")
- task_result, session_id = await run_graph(
- graph=graph,
- flow_id=flow_id,
- session_id=session_id,
- inputs=inputs,
- outputs=outputs,
- artifacts=artifacts,
- session_service=session_service,
- stream=stream,
- )
-
+ if graph is None:
+ raise ValueError(f"Session {session_id} not found")
else:
# Get the flow that matches the flow_id and belongs to the user
# flow = session.query(Flow).filter(Flow.id == flow_id).filter(Flow.user_id == api_key_user.id).first()
@@ -130,28 +121,38 @@ async def run_flow_with_caching(
raise ValueError(f"Flow {flow_id} has no data")
graph_data = flow.data
graph_data = process_tweaks(graph_data, tweaks or {})
- task_result, session_id = await run_graph(
- graph=graph_data,
- flow_id=flow_id,
- session_id=session_id,
- inputs=inputs,
- outputs=outputs,
- artifacts={},
- session_service=session_service,
- stream=stream,
- )
+ graph = Graph.from_payload(graph_data, flow_id=flow_id)
+ task_result, session_id = await run_graph(
+ graph=graph,
+ flow_id=flow_id,
+ session_id=session_id,
+ inputs=inputs,
+ outputs=outputs,
+ artifacts=artifacts,
+ session_service=session_service,
+ stream=stream,
+ )
return RunResponse(outputs=task_result, session_id=session_id)
except sa.exc.StatementError as exc:
# StatementError('(builtins.ValueError) badly formed hexadecimal UUID string')
if "badly formed hexadecimal UUID string" in str(exc):
+ logger.error(f"Flow ID {flow_id} is not a valid UUID")
# This means the Flow ID is not a valid UUID which means it can't find the flow
raise HTTPException(status_code=status.HTTP_404_NOT_FOUND, detail=str(exc)) from exc
except ValueError as exc:
if f"Flow {flow_id} not found" in str(exc):
+ logger.error(f"Flow {flow_id} not found")
+ raise HTTPException(status_code=status.HTTP_404_NOT_FOUND, detail=str(exc)) from exc
+ elif f"Session {session_id} not found" in str(exc):
+ logger.error(f"Session {session_id} not found")
raise HTTPException(status_code=status.HTTP_404_NOT_FOUND, detail=str(exc)) from exc
else:
+ logger.exception(exc)
raise HTTPException(status_code=status.HTTP_500_INTERNAL_SERVER_ERROR, detail=str(exc)) from exc
+ except Exception as exc:
+ logger.exception(exc)
+ raise HTTPException(status_code=status.HTTP_500_INTERNAL_SERVER_ERROR, detail=str(exc)) from exc
@router.post(
@@ -238,7 +239,7 @@ async def create_upload_file(
# get endpoint to return version of langflow
@router.get("/version")
def get_version():
- from langflow import __version__
+ from langflow.version import __version__
return {"version": __version__}
@@ -309,4 +310,5 @@ async def custom_component_update(
return component_node
except Exception as exc:
+ logger.exception(exc)
raise HTTPException(status_code=400, detail=str(exc)) from exc
diff --git a/src/backend/langflow/api/v1/files.py b/src/backend/base/langflow/api/v1/files.py
similarity index 99%
rename from src/backend/langflow/api/v1/files.py
rename to src/backend/base/langflow/api/v1/files.py
index aea014d9d..435aea826 100644
--- a/src/backend/langflow/api/v1/files.py
+++ b/src/backend/base/langflow/api/v1/files.py
@@ -4,6 +4,8 @@ from io import BytesIO
from fastapi import APIRouter, Depends, HTTPException, UploadFile
from fastapi.responses import StreamingResponse
+
+
from langflow.api.v1.schemas import UploadFileResponse
from langflow.services.auth.utils import get_current_active_user
from langflow.services.database.models.flow import Flow
diff --git a/src/backend/langflow/api/v1/flows.py b/src/backend/base/langflow/api/v1/flows.py
similarity index 98%
rename from src/backend/langflow/api/v1/flows.py
rename to src/backend/base/langflow/api/v1/flows.py
index 149206fd0..bd055f120 100644
--- a/src/backend/langflow/api/v1/flows.py
+++ b/src/backend/base/langflow/api/v1/flows.py
@@ -12,12 +12,7 @@ from langflow.api.utils import remove_api_keys, validate_is_component
from langflow.api.v1.schemas import FlowListCreate, FlowListRead
from langflow.initial_setup.setup import STARTER_FOLDER_NAME
from langflow.services.auth.utils import get_current_active_user
-from langflow.services.database.models.flow import (
- Flow,
- FlowCreate,
- FlowRead,
- FlowUpdate,
-)
+from langflow.services.database.models.flow import Flow, FlowCreate, FlowRead, FlowUpdate
from langflow.services.database.models.user.model import User
from langflow.services.deps import get_session, get_settings_service
from langflow.services.settings.service import SettingsService
diff --git a/src/backend/langflow/api/v1/login.py b/src/backend/base/langflow/api/v1/login.py
similarity index 88%
rename from src/backend/langflow/api/v1/login.py
rename to src/backend/base/langflow/api/v1/login.py
index 4f44e79bc..fba61d3b4 100644
--- a/src/backend/langflow/api/v1/login.py
+++ b/src/backend/base/langflow/api/v1/login.py
@@ -10,6 +10,7 @@ from langflow.services.auth.utils import (
create_user_tokens,
)
from langflow.services.deps import get_session, get_settings_service
+from langflow.services.settings.manager import SettingsService
router = APIRouter(tags=["Login"])
@@ -41,7 +42,7 @@ async def login_to_get_access_token(
httponly=auth_settings.REFRESH_HTTPONLY,
samesite=auth_settings.REFRESH_SAME_SITE,
secure=auth_settings.REFRESH_SECURE,
- expires=auth_settings.REFRESH_TOKEN_EXPIRE_MINUTES * 60,
+ expires=auth_settings.REFRESH_TOKEN_EXPIRE_SECONDS,
)
response.set_cookie(
"access_token_lf",
@@ -49,7 +50,7 @@ async def login_to_get_access_token(
httponly=auth_settings.ACCESS_HTTPONLY,
samesite=auth_settings.ACCESS_SAME_SITE,
secure=auth_settings.ACCESS_SECURE,
- expires=auth_settings.ACCESS_TOKEN_EXPIRE_MINUTES * 60,
+ expires=auth_settings.ACCESS_TOKEN_EXPIRE_SECONDS,
)
return tokens
else:
@@ -75,7 +76,7 @@ async def auto_login(
httponly=auth_settings.ACCESS_HTTPONLY,
samesite=auth_settings.ACCESS_SAME_SITE,
secure=auth_settings.ACCESS_SECURE,
- expires=auth_settings.ACCESS_TOKEN_EXPIRE_MINUTES * 60,
+ expires=None, # Set to None to make it a session cookie
)
return tokens
@@ -89,7 +90,9 @@ async def auto_login(
@router.post("/refresh")
-async def refresh_token(request: Request, response: Response, settings_service=Depends(get_settings_service)):
+async def refresh_token(
+ request: Request, response: Response, settings_service: "SettingsService" = Depends(get_settings_service)
+):
auth_settings = settings_service.auth_settings
token = request.cookies.get("refresh_token_lf")
@@ -102,7 +105,7 @@ async def refresh_token(request: Request, response: Response, settings_service=D
httponly=auth_settings.REFRESH_HTTPONLY,
samesite=auth_settings.REFRESH_SAME_SITE,
secure=auth_settings.REFRESH_SECURE,
- expires=auth_settings.REFRESH_TOKEN_EXPIRE_MINUTES * 60,
+ expires=auth_settings.REFRESH_TOKEN_EXPIRE_SECONDS,
)
response.set_cookie(
"access_token_lf",
@@ -110,7 +113,7 @@ async def refresh_token(request: Request, response: Response, settings_service=D
httponly=auth_settings.ACCESS_HTTPONLY,
samesite=auth_settings.ACCESS_SAME_SITE,
secure=auth_settings.ACCESS_SECURE,
- expires=auth_settings.ACCESS_TOKEN_EXPIRE_MINUTES * 60,
+ expires=auth_settings.ACCESS_TOKEN_EXPIRE_SECONDS,
)
return tokens
else:
diff --git a/src/backend/langflow/api/v1/monitor.py b/src/backend/base/langflow/api/v1/monitor.py
similarity index 99%
rename from src/backend/langflow/api/v1/monitor.py
rename to src/backend/base/langflow/api/v1/monitor.py
index 0b962191e..dbefd1c3b 100644
--- a/src/backend/langflow/api/v1/monitor.py
+++ b/src/backend/base/langflow/api/v1/monitor.py
@@ -1,6 +1,8 @@
from typing import Optional
from fastapi import APIRouter, Depends, HTTPException, Query
+
+
from langflow.services.deps import get_monitor_service
from langflow.services.monitor.schema import VertexBuildMapModel
from langflow.services.monitor.service import MonitorService
diff --git a/src/backend/langflow/api/v1/schemas.py b/src/backend/base/langflow/api/v1/schemas.py
similarity index 88%
rename from src/backend/langflow/api/v1/schemas.py
rename to src/backend/base/langflow/api/v1/schemas.py
index db522cc2a..3aaa5eded 100644
--- a/src/backend/langflow/api/v1/schemas.py
+++ b/src/backend/base/langflow/api/v1/schemas.py
@@ -1,17 +1,10 @@
from datetime import datetime
from enum import Enum
from pathlib import Path
-from typing import Any, Dict, List, Optional, Union
+from typing import Any, Dict, List, Literal, Optional, Union
from uuid import UUID
-from pydantic import (
- BaseModel,
- ConfigDict,
- Field,
- RootModel,
- field_validator,
- model_serializer,
-)
+from pydantic import BaseModel, ConfigDict, Field, RootModel, field_validator, model_serializer
from langflow.graph.schema import RunOutputs
from langflow.schema import dotdict
@@ -61,18 +54,19 @@ class RunResponse(BaseModel):
outputs: Optional[List[RunOutputs]] = []
session_id: Optional[str] = None
- @model_serializer(mode="wrap")
- def serialize(self, handler):
+ @model_serializer(mode="plain")
+ def serialize(self):
# Serialize all the outputs if they are base models
+ serialized = {"session_id": self.session_id, "outputs": []}
if self.outputs:
serialized_outputs = []
for output in self.outputs:
- if isinstance(output, BaseModel):
+ if isinstance(output, BaseModel) and not isinstance(output, RunOutputs):
serialized_outputs.append(output.model_dump(exclude_none=True))
else:
serialized_outputs.append(output)
- self.outputs = serialized_outputs
- return handler(self)
+ serialized["outputs"] = serialized_outputs
+ return serialized
class PreloadResponse(BaseModel):
@@ -234,6 +228,7 @@ class ApiKeyCreateRequest(BaseModel):
class VerticesOrderResponse(BaseModel):
ids: List[str]
run_id: UUID
+ vertices_to_run: List[str]
class ResultDataResponse(BaseModel):
@@ -264,10 +259,14 @@ class VerticesBuiltResponse(BaseModel):
class InputValueRequest(BaseModel):
components: Optional[List[str]] = []
input_value: Optional[str] = None
+ type: Optional[Literal["chat", "text", "json", "any"]] = Field(
+ "any",
+ description="Defines on which components the input value should be applied. 'any' applies to all input components.",
+ )
# add an example
- model_config = {
- "json_schema_extra": {
+ model_config = ConfigDict(
+ json_schema_extra={
"examples": [
{
"components": ["components_id", "Component Name"],
@@ -275,9 +274,12 @@ class InputValueRequest(BaseModel):
},
{"components": ["Component Name"], "input_value": "input_value"},
{"input_value": "input_value"},
+ {"type": "chat", "input_value": "input_value"},
+ {"type": "json", "input_value": '{"key": "value"}'},
]
- }
- }
+ },
+ extra="forbid",
+ )
class Tweaks(RootModel):
diff --git a/src/backend/langflow/api/v1/store.py b/src/backend/base/langflow/api/v1/store.py
similarity index 100%
rename from src/backend/langflow/api/v1/store.py
rename to src/backend/base/langflow/api/v1/store.py
diff --git a/src/backend/langflow/api/v1/users.py b/src/backend/base/langflow/api/v1/users.py
similarity index 100%
rename from src/backend/langflow/api/v1/users.py
rename to src/backend/base/langflow/api/v1/users.py
diff --git a/src/backend/langflow/api/v1/validate.py b/src/backend/base/langflow/api/v1/validate.py
similarity index 95%
rename from src/backend/langflow/api/v1/validate.py
rename to src/backend/base/langflow/api/v1/validate.py
index 72d24b3bf..97841bca6 100644
--- a/src/backend/langflow/api/v1/validate.py
+++ b/src/backend/base/langflow/api/v1/validate.py
@@ -3,12 +3,7 @@ from collections import defaultdict
from fastapi import APIRouter, HTTPException
from loguru import logger
-from langflow.api.v1.base import (
- Code,
- CodeValidationResponse,
- PromptValidationResponse,
- ValidatePromptRequest,
-)
+from langflow.api.v1.base import Code, CodeValidationResponse, PromptValidationResponse, ValidatePromptRequest
from langflow.base.prompts.utils import (
add_new_variables_to_template,
get_old_custom_fields,
diff --git a/src/backend/langflow/api/v1/variable.py b/src/backend/base/langflow/api/v1/variable.py
similarity index 100%
rename from src/backend/langflow/api/v1/variable.py
rename to src/backend/base/langflow/api/v1/variable.py
diff --git a/src/backend/langflow/interface/output_parsers/__init__.py b/src/backend/base/langflow/base/__init__.py
similarity index 100%
rename from src/backend/langflow/interface/output_parsers/__init__.py
rename to src/backend/base/langflow/base/__init__.py
diff --git a/src/backend/langflow/interface/retrievers/__init__.py b/src/backend/base/langflow/base/agents/__init__.py
similarity index 100%
rename from src/backend/langflow/interface/retrievers/__init__.py
rename to src/backend/base/langflow/base/agents/__init__.py
diff --git a/src/backend/base/langflow/base/agents/agent.py b/src/backend/base/langflow/base/agents/agent.py
new file mode 100644
index 000000000..029ab4913
--- /dev/null
+++ b/src/backend/base/langflow/base/agents/agent.py
@@ -0,0 +1,69 @@
+from typing import List, Union
+
+from langchain.agents import AgentExecutor, BaseMultiActionAgent, BaseSingleActionAgent
+from langflow.field_typing import BaseMemory, Text, Tool
+from langflow.interface.custom.custom_component import CustomComponent
+
+
+class LCAgentComponent(CustomComponent):
+ def build_config(self):
+ return {
+ "lc": {
+ "display_name": "LangChain",
+ "info": "The LangChain to interact with.",
+ },
+ "handle_parsing_errors": {
+ "display_name": "Handle Parsing Errors",
+ "info": "If True, the agent will handle parsing errors. If False, the agent will raise an error.",
+ "advanced": True,
+ },
+ "output_key": {
+ "display_name": "Output Key",
+ "info": "The key to use to get the output from the agent.",
+ "advanced": True,
+ },
+ "memory": {
+ "display_name": "Memory",
+ "info": "Memory to use for the agent.",
+ },
+ "tools": {
+ "display_name": "Tools",
+ "info": "Tools the agent can use.",
+ },
+ "input_value": {
+ "display_name": "Input",
+ "info": "Input text to pass to the agent.",
+ },
+ }
+
+ async def run_agent(
+ self,
+ agent: Union[BaseSingleActionAgent, BaseMultiActionAgent, AgentExecutor],
+ inputs: str,
+ input_variables: list[str],
+ tools: List[Tool],
+ memory: BaseMemory = None,
+ handle_parsing_errors: bool = True,
+ output_key: str = "output",
+ ) -> Text:
+ if isinstance(agent, AgentExecutor):
+ runnable = agent
+ else:
+ runnable = AgentExecutor.from_agent_and_tools(
+ agent=agent, tools=tools, verbose=True, memory=memory, handle_parsing_errors=handle_parsing_errors
+ )
+ input_dict = {"input": inputs}
+ for var in input_variables:
+ if var not in ["agent_scratchpad", "input"]:
+ input_dict[var] = ""
+ result = await runnable.ainvoke(input_dict)
+ self.status = result
+ if output_key in result:
+ return result.get(output_key)
+ elif "output" not in result:
+ if output_key != "output":
+ raise ValueError(f"Output key not found in result. Tried '{output_key}' and 'output'.")
+ else:
+ raise ValueError("Output key not found in result. Tried 'output'.")
+
+ return result.get("output")
diff --git a/src/backend/langflow/interface/toolkits/__init__.py b/src/backend/base/langflow/base/data/__init__.py
similarity index 100%
rename from src/backend/langflow/interface/toolkits/__init__.py
rename to src/backend/base/langflow/base/data/__init__.py
diff --git a/src/backend/langflow/base/data/utils.py b/src/backend/base/langflow/base/data/utils.py
similarity index 100%
rename from src/backend/langflow/base/data/utils.py
rename to src/backend/base/langflow/base/data/utils.py
diff --git a/src/backend/langflow/interface/utilities/__init__.py b/src/backend/base/langflow/base/io/__init__.py
similarity index 100%
rename from src/backend/langflow/interface/utilities/__init__.py
rename to src/backend/base/langflow/base/io/__init__.py
diff --git a/src/backend/langflow/base/io/chat.py b/src/backend/base/langflow/base/io/chat.py
similarity index 98%
rename from src/backend/langflow/base/io/chat.py
rename to src/backend/base/langflow/base/io/chat.py
index 3411f603e..9aa75498f 100644
--- a/src/backend/langflow/base/io/chat.py
+++ b/src/backend/base/langflow/base/io/chat.py
@@ -1,8 +1,8 @@
import warnings
from typing import Optional, Union
-from langflow import CustomComponent
from langflow.field_typing import Text
+from langflow.interface.custom.custom_component import CustomComponent
from langflow.memory import add_messages
from langflow.schema import Record
diff --git a/src/backend/langflow/base/io/text.py b/src/backend/base/langflow/base/io/text.py
similarity index 87%
rename from src/backend/langflow/base/io/text.py
rename to src/backend/base/langflow/base/io/text.py
index 8c6620781..919acf5d5 100644
--- a/src/backend/langflow/base/io/text.py
+++ b/src/backend/base/langflow/base/io/text.py
@@ -1,7 +1,7 @@
from typing import Optional
-from langflow import CustomComponent
from langflow.field_typing import Text
+from langflow.interface.custom.custom_component import CustomComponent
class TextComponent(CustomComponent):
diff --git a/src/backend/langflow/components/models/base/__init__.py b/src/backend/base/langflow/base/models/__init__.py
similarity index 100%
rename from src/backend/langflow/components/models/base/__init__.py
rename to src/backend/base/langflow/base/models/__init__.py
diff --git a/src/backend/base/langflow/base/models/model.py b/src/backend/base/langflow/base/models/model.py
new file mode 100644
index 000000000..4e3a422b2
--- /dev/null
+++ b/src/backend/base/langflow/base/models/model.py
@@ -0,0 +1,48 @@
+from typing import Optional
+
+from langchain_core.language_models.chat_models import BaseChatModel
+from langchain_core.language_models.llms import LLM
+from langchain_core.messages import HumanMessage, SystemMessage
+
+from langflow.interface.custom.custom_component import CustomComponent
+
+
+class LCModelComponent(CustomComponent):
+ display_name: str = "Model Name"
+ description: str = "Model Description"
+
+ def get_result(self, runnable: LLM, stream: bool, input_value: str):
+ """
+ Retrieves the result from the output of a Runnable object.
+
+ Args:
+ output (Runnable): The output object to retrieve the result from.
+ stream (bool): Indicates whether to use streaming or invocation mode.
+ input_value (str): The input value to pass to the output object.
+
+ Returns:
+ The result obtained from the output object.
+ """
+ if stream:
+ result = runnable.stream(input_value)
+ else:
+ message = runnable.invoke(input_value)
+ result = message.content if hasattr(message, "content") else message
+ self.status = result
+ return result
+
+ def get_chat_result(
+ self, runnable: BaseChatModel, stream: bool, input_value: str, system_message: Optional[str] = None
+ ):
+ messages = []
+ if system_message:
+ messages.append(SystemMessage(system_message))
+ if input_value:
+ messages.append(HumanMessage(input_value))
+ if stream:
+ result = runnable.stream(messages)
+ else:
+ message = runnable.invoke(messages)
+ result = message.content
+ self.status = result
+ return result
diff --git a/src/backend/langflow/interface/vector_store/__init__.py b/src/backend/base/langflow/base/prompts/__init__.py
similarity index 100%
rename from src/backend/langflow/interface/vector_store/__init__.py
rename to src/backend/base/langflow/base/prompts/__init__.py
diff --git a/src/backend/langflow/base/prompts/utils.py b/src/backend/base/langflow/base/prompts/utils.py
similarity index 100%
rename from src/backend/langflow/base/prompts/utils.py
rename to src/backend/base/langflow/base/prompts/utils.py
diff --git a/src/backend/langflow/components/__init__.py b/src/backend/base/langflow/components/__init__.py
similarity index 100%
rename from src/backend/langflow/components/__init__.py
rename to src/backend/base/langflow/components/__init__.py
diff --git a/src/backend/langflow/components/agents/AgentInitializer.py b/src/backend/base/langflow/components/agents/AgentInitializer.py
similarity index 96%
rename from src/backend/langflow/components/agents/AgentInitializer.py
rename to src/backend/base/langflow/components/agents/AgentInitializer.py
index 3d936df8a..d1f09d5cf 100644
--- a/src/backend/langflow/components/agents/AgentInitializer.py
+++ b/src/backend/base/langflow/components/agents/AgentInitializer.py
@@ -1,8 +1,9 @@
from typing import Callable, List, Optional, Union
from langchain.agents import AgentExecutor, AgentType, initialize_agent, types
-from langflow import CustomComponent
+
from langflow.field_typing import BaseChatMemory, BaseLanguageModel, Tool
+from langflow.interface.custom.custom_component import CustomComponent
class AgentInitializerComponent(CustomComponent):
diff --git a/src/backend/base/langflow/components/agents/CSVAgent.py b/src/backend/base/langflow/components/agents/CSVAgent.py
new file mode 100644
index 000000000..57774568f
--- /dev/null
+++ b/src/backend/base/langflow/components/agents/CSVAgent.py
@@ -0,0 +1,34 @@
+from langchain_experimental.agents.agent_toolkits.csv.base import create_csv_agent
+
+from langflow.custom import CustomComponent
+from langflow.field_typing import AgentExecutor, BaseLanguageModel
+
+
+class CSVAgentComponent(CustomComponent):
+ display_name = "CSVAgent"
+ description = "Construct a CSV agent from a CSV and tools."
+ documentation = "https://python.langchain.com/docs/modules/agents/toolkits/csv"
+
+ def build_config(self):
+ return {
+ "llm": {"display_name": "LLM", "type": BaseLanguageModel},
+ "path": {"display_name": "Path", "field_type": "file", "suffixes": [".csv"], "file_types": [".csv"]},
+ "handle_parsing_errors": {"display_name": "Handle Parse Errors", "advanced": True},
+ "agent_type": {
+ "display_name": "Agent Type",
+ "options": ["zero-shot-react-description", "openai-functions", "openai-tools"],
+ "advanced": True,
+ },
+ }
+
+ def build(
+ self, llm: BaseLanguageModel, path: str, handle_parsing_errors: bool = True, agent_type: str = "openai-tools"
+ ) -> AgentExecutor:
+ # Instantiate and return the CSV agent class with the provided llm and path
+ return create_csv_agent(
+ llm=llm,
+ path=path,
+ agent_type=agent_type,
+ verbose=True,
+ agent_executor_kwargs=dict(handle_parsing_errors=handle_parsing_errors),
+ )
diff --git a/src/backend/langflow/components/agents/JsonAgent.py b/src/backend/base/langflow/components/agents/JsonAgent.py
similarity index 90%
rename from src/backend/langflow/components/agents/JsonAgent.py
rename to src/backend/base/langflow/components/agents/JsonAgent.py
index 0197b9210..5fa342417 100644
--- a/src/backend/langflow/components/agents/JsonAgent.py
+++ b/src/backend/base/langflow/components/agents/JsonAgent.py
@@ -1,9 +1,10 @@
-from langflow import CustomComponent
from langchain.agents import AgentExecutor, create_json_agent
+from langchain_community.agent_toolkits.json.toolkit import JsonToolkit
+
from langflow.field_typing import (
BaseLanguageModel,
)
-from langchain_community.agent_toolkits.json.toolkit import JsonToolkit
+from langflow.interface.custom.custom_component import CustomComponent
class JsonAgentComponent(CustomComponent):
diff --git a/src/backend/langflow/components/agents/OpenAIConversationalAgent.py b/src/backend/base/langflow/components/agents/OpenAIConversationalAgent.py
similarity index 97%
rename from src/backend/langflow/components/agents/OpenAIConversationalAgent.py
rename to src/backend/base/langflow/components/agents/OpenAIConversationalAgent.py
index c0d128ca6..7c66353d4 100644
--- a/src/backend/langflow/components/agents/OpenAIConversationalAgent.py
+++ b/src/backend/base/langflow/components/agents/OpenAIConversationalAgent.py
@@ -9,8 +9,9 @@ from langchain.prompts.chat import MessagesPlaceholder
from langchain.schema.memory import BaseMemory
from langchain.tools import Tool
from langchain_community.chat_models import ChatOpenAI
-from langflow import CustomComponent
+
from langflow.field_typing.range_spec import RangeSpec
+from langflow.interface.custom.custom_component import CustomComponent
class ConversationalAgent(CustomComponent):
diff --git a/src/backend/langflow/components/agents/SQLAgent.py b/src/backend/base/langflow/components/agents/SQLAgent.py
similarity index 90%
rename from src/backend/langflow/components/agents/SQLAgent.py
rename to src/backend/base/langflow/components/agents/SQLAgent.py
index 42b1b48f3..68f65d18f 100644
--- a/src/backend/langflow/components/agents/SQLAgent.py
+++ b/src/backend/base/langflow/components/agents/SQLAgent.py
@@ -1,10 +1,12 @@
-from langflow import CustomComponent
-from typing import Union, Callable
+from typing import Callable, Union
+
from langchain.agents import AgentExecutor
-from langflow.field_typing import BaseLanguageModel
-from langchain_community.agent_toolkits.sql.base import create_sql_agent
from langchain.sql_database import SQLDatabase
from langchain_community.agent_toolkits import SQLDatabaseToolkit
+from langchain_community.agent_toolkits.sql.base import create_sql_agent
+
+from langflow.field_typing import BaseLanguageModel
+from langflow.interface.custom.custom_component import CustomComponent
class SQLAgentComponent(CustomComponent):
diff --git a/src/backend/langflow/components/agents/VectorStoreAgent.py b/src/backend/base/langflow/components/agents/VectorStoreAgent.py
similarity index 87%
rename from src/backend/langflow/components/agents/VectorStoreAgent.py
rename to src/backend/base/langflow/components/agents/VectorStoreAgent.py
index b70ea4d59..095f9da41 100644
--- a/src/backend/langflow/components/agents/VectorStoreAgent.py
+++ b/src/backend/base/langflow/components/agents/VectorStoreAgent.py
@@ -1,8 +1,10 @@
-from langflow import CustomComponent
+from typing import Callable, Union
+
from langchain.agents import AgentExecutor, create_vectorstore_agent
from langchain.agents.agent_toolkits.vectorstore.toolkit import VectorStoreToolkit
-from typing import Union, Callable
+
from langflow.field_typing import BaseLanguageModel
+from langflow.interface.custom.custom_component import CustomComponent
class VectorStoreAgentComponent(CustomComponent):
diff --git a/src/backend/langflow/components/agents/VectorStoreRouterAgent.py b/src/backend/base/langflow/components/agents/VectorStoreRouterAgent.py
similarity index 91%
rename from src/backend/langflow/components/agents/VectorStoreRouterAgent.py
rename to src/backend/base/langflow/components/agents/VectorStoreRouterAgent.py
index 3174d9513..514a9767c 100644
--- a/src/backend/langflow/components/agents/VectorStoreRouterAgent.py
+++ b/src/backend/base/langflow/components/agents/VectorStoreRouterAgent.py
@@ -1,9 +1,11 @@
-from langflow import CustomComponent
-from langchain_core.language_models.base import BaseLanguageModel
-from langchain.agents.agent_toolkits.vectorstore.toolkit import VectorStoreRouterToolkit
-from langchain.agents import create_vectorstore_router_agent
from typing import Callable
+from langchain.agents import create_vectorstore_router_agent
+from langchain.agents.agent_toolkits.vectorstore.toolkit import VectorStoreRouterToolkit
+from langchain_core.language_models.base import BaseLanguageModel
+
+from langflow.interface.custom.custom_component import CustomComponent
+
class VectorStoreRouterAgentComponent(CustomComponent):
display_name = "VectorStoreRouterAgent"
diff --git a/src/backend/base/langflow/components/agents/XMLAgent.py b/src/backend/base/langflow/components/agents/XMLAgent.py
new file mode 100644
index 000000000..efd5cc010
--- /dev/null
+++ b/src/backend/base/langflow/components/agents/XMLAgent.py
@@ -0,0 +1,89 @@
+from typing import List
+
+from langchain.agents import create_xml_agent
+from langchain_core.prompts import PromptTemplate
+
+from langflow.base.agents.agent import LCAgentComponent
+from langflow.field_typing import BaseLLM, BaseMemory, Text, Tool
+
+
+class XMLAgentComponent(LCAgentComponent):
+ display_name = "XMLAgent"
+ description = "Construct an XML agent from an LLM and tools."
+
+ def build_config(self):
+ return {
+ "llm": {"display_name": "LLM"},
+ "tools": {"display_name": "Tools"},
+ "prompt": {
+ "display_name": "Prompt",
+ "multiline": True,
+ "info": "This prompt must contain 'tools' and 'agent_scratchpad' keys.",
+ "value": """You are a helpful assistant. Help the user answer any questions.
+
+ You have access to the following tools:
+
+ {tools}
+
+ In order to use a tool, you can use and tags. You will then get back a response in the form
+ For example, if you have a tool called 'search' that could run a google search, in order to search for the weather in SF you would respond:
+
+ searchweather in SF
+ 64 degrees
+
+ When you are done, respond with a final answer between . For example:
+
+ The weather in SF is 64 degrees
+
+ Begin!
+
+ Previous Conversation:
+ {chat_history}
+
+ Question: {input}
+ {agent_scratchpad}""",
+ },
+ "tool_template": {
+ "display_name": "Tool Template",
+ "info": "Template for rendering tools in the prompt. Tools have 'name' and 'description' keys.",
+ "advanced": True,
+ },
+ "handle_parsing_errors": {
+ "display_name": "Handle Parsing Errors",
+ "info": "If True, the agent will handle parsing errors. If False, the agent will raise an error.",
+ "advanced": True,
+ },
+ "memory": {
+ "display_name": "Memory",
+ "info": "Memory to use for the agent.",
+ },
+ "input_value": {
+ "display_name": "Inputs",
+ "info": "Input text to pass to the agent.",
+ },
+ }
+
+ async def build(
+ self,
+ input_value: str,
+ llm: BaseLLM,
+ tools: List[Tool],
+ prompt: str,
+ memory: BaseMemory = None,
+ tool_template: str = "{name}: {description}",
+ handle_parsing_errors: bool = True,
+ ) -> Text:
+ if "input" not in prompt:
+ raise ValueError("Prompt must contain 'input' key.")
+
+ def render_tool_description(tools):
+ return "\n".join(
+ [tool_template.format(name=tool.name, description=tool.description, args=tool.args) for tool in tools]
+ )
+
+ prompt_template = PromptTemplate.from_template(prompt)
+ input_variables = prompt_template.input_variables
+ agent = create_xml_agent(llm, tools, prompt_template, tools_renderer=render_tool_description)
+ result = await self.run_agent(agent, input_value, input_variables, tools, memory, handle_parsing_errors)
+ self.status = result
+ return result
diff --git a/src/backend/langflow/components/agents/__init__.py b/src/backend/base/langflow/components/agents/__init__.py
similarity index 100%
rename from src/backend/langflow/components/agents/__init__.py
rename to src/backend/base/langflow/components/agents/__init__.py
diff --git a/src/backend/langflow/components/chains/ConversationChain.py b/src/backend/base/langflow/components/chains/ConversationChain.py
similarity index 85%
rename from src/backend/langflow/components/chains/ConversationChain.py
rename to src/backend/base/langflow/components/chains/ConversationChain.py
index 71599ef2e..2b8dd09a3 100644
--- a/src/backend/langflow/components/chains/ConversationChain.py
+++ b/src/backend/base/langflow/components/chains/ConversationChain.py
@@ -2,8 +2,8 @@ from typing import Optional
from langchain.chains import ConversationChain
-from langflow import CustomComponent
from langflow.field_typing import BaseLanguageModel, BaseMemory, Text
+from langflow.interface.custom.custom_component import CustomComponent
class ConversationChainComponent(CustomComponent):
@@ -18,7 +18,10 @@ class ConversationChainComponent(CustomComponent):
"display_name": "Memory",
"info": "Memory to load context from. If none is provided, a ConversationBufferMemory will be used.",
},
- "code": {"show": False},
+ "input_value": {
+ "display_name": "Input Value",
+ "info": "The input value to pass to the chain.",
+ },
}
def build(
diff --git a/src/backend/langflow/components/chains/LLMChain.py b/src/backend/base/langflow/components/chains/LLMChain.py
similarity index 81%
rename from src/backend/langflow/components/chains/LLMChain.py
rename to src/backend/base/langflow/components/chains/LLMChain.py
index 5d660cd4b..9c2b3eae2 100644
--- a/src/backend/langflow/components/chains/LLMChain.py
+++ b/src/backend/base/langflow/components/chains/LLMChain.py
@@ -2,13 +2,8 @@ from typing import Optional
from langchain.chains import LLMChain
-from langflow import CustomComponent
-from langflow.field_typing import (
- BaseLanguageModel,
- BaseMemory,
- BasePromptTemplate,
- Text,
-)
+from langflow.field_typing import BaseLanguageModel, BaseMemory, BasePromptTemplate, Text
+from langflow.interface.custom.custom_component import CustomComponent
class LLMChainComponent(CustomComponent):
@@ -20,7 +15,6 @@ class LLMChainComponent(CustomComponent):
"prompt": {"display_name": "Prompt"},
"llm": {"display_name": "LLM"},
"memory": {"display_name": "Memory"},
- "code": {"show": False},
}
def build(
diff --git a/src/backend/langflow/components/chains/LLMCheckerChain.py b/src/backend/base/langflow/components/chains/LLMCheckerChain.py
similarity index 77%
rename from src/backend/langflow/components/chains/LLMCheckerChain.py
rename to src/backend/base/langflow/components/chains/LLMCheckerChain.py
index 5e7af9af5..04e6fe67d 100644
--- a/src/backend/langflow/components/chains/LLMCheckerChain.py
+++ b/src/backend/base/langflow/components/chains/LLMCheckerChain.py
@@ -1,7 +1,7 @@
from langchain.chains import LLMCheckerChain
-from langflow import CustomComponent
from langflow.field_typing import BaseLanguageModel, Text
+from langflow.interface.custom.custom_component import CustomComponent
class LLMCheckerChainComponent(CustomComponent):
@@ -12,6 +12,10 @@ class LLMCheckerChainComponent(CustomComponent):
def build_config(self):
return {
"llm": {"display_name": "LLM"},
+ "input_value": {
+ "display_name": "Input Value",
+ "info": "The input value to pass to the chain.",
+ },
}
def build(
diff --git a/src/backend/langflow/components/chains/LLMMathChain.py b/src/backend/base/langflow/components/chains/LLMMathChain.py
similarity index 85%
rename from src/backend/langflow/components/chains/LLMMathChain.py
rename to src/backend/base/langflow/components/chains/LLMMathChain.py
index 52fb5e1ee..0b7374da6 100644
--- a/src/backend/langflow/components/chains/LLMMathChain.py
+++ b/src/backend/base/langflow/components/chains/LLMMathChain.py
@@ -2,8 +2,8 @@ from typing import Optional
from langchain.chains import LLMChain, LLMMathChain
-from langflow import CustomComponent
from langflow.field_typing import BaseLanguageModel, BaseMemory, Text
+from langflow.interface.custom.custom_component import CustomComponent
class LLMMathChainComponent(CustomComponent):
@@ -18,6 +18,10 @@ class LLMMathChainComponent(CustomComponent):
"memory": {"display_name": "Memory"},
"input_key": {"display_name": "Input Key"},
"output_key": {"display_name": "Output Key"},
+ "input_value": {
+ "display_name": "Input Value",
+ "info": "The input value to pass to the chain.",
+ },
}
def build(
diff --git a/src/backend/langflow/components/chains/RetrievalQA.py b/src/backend/base/langflow/components/chains/RetrievalQA.py
similarity index 97%
rename from src/backend/langflow/components/chains/RetrievalQA.py
rename to src/backend/base/langflow/components/chains/RetrievalQA.py
index 453b66d32..4ac514ec5 100644
--- a/src/backend/langflow/components/chains/RetrievalQA.py
+++ b/src/backend/base/langflow/components/chains/RetrievalQA.py
@@ -4,8 +4,8 @@ from langchain.chains.combine_documents.base import BaseCombineDocumentsChain
from langchain.chains.retrieval_qa.base import RetrievalQA
from langchain_core.documents import Document
-from langflow import CustomComponent
from langflow.field_typing import BaseMemory, BaseRetriever, Text
+from langflow.interface.custom.custom_component import CustomComponent
class RetrievalQAComponent(CustomComponent):
diff --git a/src/backend/langflow/components/chains/RetrievalQAWithSourcesChain.py b/src/backend/base/langflow/components/chains/RetrievalQAWithSourcesChain.py
similarity index 90%
rename from src/backend/langflow/components/chains/RetrievalQAWithSourcesChain.py
rename to src/backend/base/langflow/components/chains/RetrievalQAWithSourcesChain.py
index 9a1b63756..0c98a16ec 100644
--- a/src/backend/langflow/components/chains/RetrievalQAWithSourcesChain.py
+++ b/src/backend/base/langflow/components/chains/RetrievalQAWithSourcesChain.py
@@ -3,8 +3,8 @@ from typing import Optional
from langchain.chains import RetrievalQAWithSourcesChain
from langchain_core.documents import Document
-from langflow import CustomComponent
from langflow.field_typing import BaseLanguageModel, BaseMemory, BaseRetriever, Text
+from langflow.interface.custom.custom_component import CustomComponent
class RetrievalQAWithSourcesChainComponent(CustomComponent):
@@ -22,6 +22,10 @@ class RetrievalQAWithSourcesChainComponent(CustomComponent):
"memory": {"display_name": "Memory"},
"return_source_documents": {"display_name": "Return Source Documents"},
"retriever": {"display_name": "Retriever"},
+ "input_value": {
+ "display_name": "Input Value",
+ "info": "The input value to pass to the chain.",
+ },
}
def build(
diff --git a/src/backend/langflow/components/chains/SQLGenerator.py b/src/backend/base/langflow/components/chains/SQLGenerator.py
similarity index 90%
rename from src/backend/langflow/components/chains/SQLGenerator.py
rename to src/backend/base/langflow/components/chains/SQLGenerator.py
index ecd9eb248..3b111ba71 100644
--- a/src/backend/langflow/components/chains/SQLGenerator.py
+++ b/src/backend/base/langflow/components/chains/SQLGenerator.py
@@ -5,8 +5,8 @@ from langchain_community.utilities.sql_database import SQLDatabase
from langchain_core.prompts import PromptTemplate
from langchain_core.runnables import Runnable
-from langflow import CustomComponent
from langflow.field_typing import BaseLanguageModel, Text
+from langflow.interface.custom.custom_component import CustomComponent
class SQLGeneratorComponent(CustomComponent):
@@ -25,6 +25,10 @@ class SQLGeneratorComponent(CustomComponent):
"display_name": "Top K",
"info": "The number of results per select statement to return. If 0, no limit.",
},
+ "input_value": {
+ "display_name": "Input Value",
+ "info": "The input value to pass to the chain.",
+ },
}
def build(
diff --git a/src/backend/langflow/components/chains/__init__.py b/src/backend/base/langflow/components/chains/__init__.py
similarity index 100%
rename from src/backend/langflow/components/chains/__init__.py
rename to src/backend/base/langflow/components/chains/__init__.py
diff --git a/src/backend/langflow/components/data/APIRequest.py b/src/backend/base/langflow/components/data/APIRequest.py
similarity index 98%
rename from src/backend/langflow/components/data/APIRequest.py
rename to src/backend/base/langflow/components/data/APIRequest.py
index 75dbe69a5..4844e8f2d 100644
--- a/src/backend/langflow/components/data/APIRequest.py
+++ b/src/backend/base/langflow/components/data/APIRequest.py
@@ -4,7 +4,7 @@ from typing import List, Optional
import httpx
-from langflow import CustomComponent
+from langflow.interface.custom.custom_component import CustomComponent
from langflow.schema import Record
diff --git a/src/backend/langflow/components/data/Directory.py b/src/backend/base/langflow/components/data/Directory.py
similarity index 92%
rename from src/backend/langflow/components/data/Directory.py
rename to src/backend/base/langflow/components/data/Directory.py
index d0428009d..fdca207a5 100644
--- a/src/backend/langflow/components/data/Directory.py
+++ b/src/backend/base/langflow/components/data/Directory.py
@@ -1,11 +1,7 @@
from typing import Any, Dict, List, Optional
-from langflow import CustomComponent
-from langflow.base.data.utils import (
- parallel_load_records,
- parse_text_file_to_record,
- retrieve_file_paths,
-)
+from langflow.base.data.utils import parallel_load_records, parse_text_file_to_record, retrieve_file_paths
+from langflow.interface.custom.custom_component import CustomComponent
from langflow.schema import Record
diff --git a/src/backend/langflow/components/data/File.py b/src/backend/base/langflow/components/data/File.py
similarity index 95%
rename from src/backend/langflow/components/data/File.py
rename to src/backend/base/langflow/components/data/File.py
index 5d0b2ee56..4ffed5300 100644
--- a/src/backend/langflow/components/data/File.py
+++ b/src/backend/base/langflow/components/data/File.py
@@ -1,7 +1,7 @@
from typing import Any, Dict, List
-from langflow import CustomComponent
from langflow.base.data.utils import TEXT_FILE_TYPES, parse_text_file_to_record
+from langflow.interface.custom.custom_component import CustomComponent
from langflow.schema import Record
diff --git a/src/backend/langflow/components/data/FileLoader.py b/src/backend/base/langflow/components/data/FileLoader.py
similarity index 98%
rename from src/backend/langflow/components/data/FileLoader.py
rename to src/backend/base/langflow/components/data/FileLoader.py
index 11406f2c2..56432617e 100644
--- a/src/backend/langflow/components/data/FileLoader.py
+++ b/src/backend/base/langflow/components/data/FileLoader.py
@@ -1,6 +1,6 @@
from typing import List
-from langflow import CustomComponent
+from langflow.interface.custom.custom_component import CustomComponent
from langflow.schema import Record
from langflow.utils.constants import LOADERS_INFO
diff --git a/src/backend/langflow/components/data/URL.py b/src/backend/base/langflow/components/data/URL.py
similarity index 89%
rename from src/backend/langflow/components/data/URL.py
rename to src/backend/base/langflow/components/data/URL.py
index 2db18e7db..a7397051d 100644
--- a/src/backend/langflow/components/data/URL.py
+++ b/src/backend/base/langflow/components/data/URL.py
@@ -2,7 +2,7 @@ from typing import Any, Dict
from langchain_community.document_loaders.web_base import WebBaseLoader
-from langflow import CustomComponent
+from langflow.interface.custom.custom_component import CustomComponent
from langflow.schema import Record
diff --git a/src/backend/langflow/components/data/__init__.py b/src/backend/base/langflow/components/data/__init__.py
similarity index 100%
rename from src/backend/langflow/components/data/__init__.py
rename to src/backend/base/langflow/components/data/__init__.py
diff --git a/src/backend/langflow/interface/wrappers/__init__.py b/src/backend/base/langflow/components/documentloaders/__init__.py
similarity index 100%
rename from src/backend/langflow/interface/wrappers/__init__.py
rename to src/backend/base/langflow/components/documentloaders/__init__.py
diff --git a/src/backend/langflow/components/embeddings/AmazonBedrockEmbeddings.py b/src/backend/base/langflow/components/embeddings/AmazonBedrockEmbeddings.py
similarity index 95%
rename from src/backend/langflow/components/embeddings/AmazonBedrockEmbeddings.py
rename to src/backend/base/langflow/components/embeddings/AmazonBedrockEmbeddings.py
index f9fe70d5b..e7661b113 100644
--- a/src/backend/langflow/components/embeddings/AmazonBedrockEmbeddings.py
+++ b/src/backend/base/langflow/components/embeddings/AmazonBedrockEmbeddings.py
@@ -3,8 +3,7 @@ from typing import Optional
from langchain.embeddings.base import Embeddings
from langchain_community.embeddings import BedrockEmbeddings
-
-from langflow import CustomComponent
+from langflow.interface.custom.custom_component import CustomComponent
class AmazonBedrockEmeddingsComponent(CustomComponent):
diff --git a/src/backend/langflow/components/embeddings/AzureOpenAIEmbeddings.py b/src/backend/base/langflow/components/embeddings/AzureOpenAIEmbeddings.py
similarity index 96%
rename from src/backend/langflow/components/embeddings/AzureOpenAIEmbeddings.py
rename to src/backend/base/langflow/components/embeddings/AzureOpenAIEmbeddings.py
index a44259be9..a46230f72 100644
--- a/src/backend/langflow/components/embeddings/AzureOpenAIEmbeddings.py
+++ b/src/backend/base/langflow/components/embeddings/AzureOpenAIEmbeddings.py
@@ -1,7 +1,7 @@
from langchain.embeddings.base import Embeddings
from langchain_community.embeddings import AzureOpenAIEmbeddings
-from langflow import CustomComponent
+from langflow.interface.custom.custom_component import CustomComponent
class AzureOpenAIEmbeddingsComponent(CustomComponent):
diff --git a/src/backend/langflow/components/embeddings/CohereEmbeddings.py b/src/backend/base/langflow/components/embeddings/CohereEmbeddings.py
similarity index 94%
rename from src/backend/langflow/components/embeddings/CohereEmbeddings.py
rename to src/backend/base/langflow/components/embeddings/CohereEmbeddings.py
index 049525b39..07b21dabe 100644
--- a/src/backend/langflow/components/embeddings/CohereEmbeddings.py
+++ b/src/backend/base/langflow/components/embeddings/CohereEmbeddings.py
@@ -1,7 +1,8 @@
from typing import Optional
from langchain_community.embeddings.cohere import CohereEmbeddings
-from langflow import CustomComponent
+
+from langflow.interface.custom.custom_component import CustomComponent
class CohereEmbeddingsComponent(CustomComponent):
diff --git a/src/backend/langflow/components/embeddings/HuggingFaceEmbeddings.py b/src/backend/base/langflow/components/embeddings/HuggingFaceEmbeddings.py
similarity index 93%
rename from src/backend/langflow/components/embeddings/HuggingFaceEmbeddings.py
rename to src/backend/base/langflow/components/embeddings/HuggingFaceEmbeddings.py
index fa2bb425a..8e3f2b96c 100644
--- a/src/backend/langflow/components/embeddings/HuggingFaceEmbeddings.py
+++ b/src/backend/base/langflow/components/embeddings/HuggingFaceEmbeddings.py
@@ -1,7 +1,9 @@
-from langflow import CustomComponent
-from typing import Optional, Dict
+from typing import Dict, Optional
+
from langchain_community.embeddings.huggingface import HuggingFaceEmbeddings
+from langflow.interface.custom.custom_component import CustomComponent
+
class HuggingFaceEmbeddingsComponent(CustomComponent):
display_name = "HuggingFaceEmbeddings"
diff --git a/src/backend/langflow/components/embeddings/HuggingFaceInferenceAPIEmbeddings.py b/src/backend/base/langflow/components/embeddings/HuggingFaceInferenceAPIEmbeddings.py
similarity index 96%
rename from src/backend/langflow/components/embeddings/HuggingFaceInferenceAPIEmbeddings.py
rename to src/backend/base/langflow/components/embeddings/HuggingFaceInferenceAPIEmbeddings.py
index 578b601a6..b4198ab55 100644
--- a/src/backend/langflow/components/embeddings/HuggingFaceInferenceAPIEmbeddings.py
+++ b/src/backend/base/langflow/components/embeddings/HuggingFaceInferenceAPIEmbeddings.py
@@ -1,9 +1,10 @@
from typing import Dict, Optional
from langchain_community.embeddings.huggingface import HuggingFaceInferenceAPIEmbeddings
-from langflow import CustomComponent
from pydantic.v1.types import SecretStr
+from langflow.interface.custom.custom_component import CustomComponent
+
class HuggingFaceInferenceAPIEmbeddingsComponent(CustomComponent):
display_name = "HuggingFaceInferenceAPIEmbeddings"
diff --git a/src/backend/langflow/components/embeddings/OllamaEmbeddings.py b/src/backend/base/langflow/components/embeddings/OllamaEmbeddings.py
similarity index 94%
rename from src/backend/langflow/components/embeddings/OllamaEmbeddings.py
rename to src/backend/base/langflow/components/embeddings/OllamaEmbeddings.py
index 0e2da2005..07e219a2c 100644
--- a/src/backend/langflow/components/embeddings/OllamaEmbeddings.py
+++ b/src/backend/base/langflow/components/embeddings/OllamaEmbeddings.py
@@ -1,9 +1,10 @@
from typing import Optional
-from langflow import CustomComponent
from langchain.embeddings.base import Embeddings
from langchain_community.embeddings import OllamaEmbeddings
+from langflow.interface.custom.custom_component import CustomComponent
+
class OllamaEmbeddingsComponent(CustomComponent):
"""
diff --git a/src/backend/langflow/components/embeddings/OpenAIEmbeddings.py b/src/backend/base/langflow/components/embeddings/OpenAIEmbeddings.py
similarity index 98%
rename from src/backend/langflow/components/embeddings/OpenAIEmbeddings.py
rename to src/backend/base/langflow/components/embeddings/OpenAIEmbeddings.py
index ba6d634b8..3578caef7 100644
--- a/src/backend/langflow/components/embeddings/OpenAIEmbeddings.py
+++ b/src/backend/base/langflow/components/embeddings/OpenAIEmbeddings.py
@@ -1,10 +1,11 @@
from typing import Any, Callable, Dict, List, Optional, Union
from langchain_openai.embeddings.base import OpenAIEmbeddings
-from langflow import CustomComponent
-from langflow.field_typing import NestedDict
from pydantic.v1.types import SecretStr
+from langflow.field_typing import NestedDict
+from langflow.interface.custom.custom_component import CustomComponent
+
class OpenAIEmbeddingsComponent(CustomComponent):
display_name = "OpenAIEmbeddings"
diff --git a/src/backend/langflow/components/embeddings/VertexAIEmbeddings.py b/src/backend/base/langflow/components/embeddings/VertexAIEmbeddings.py
similarity index 96%
rename from src/backend/langflow/components/embeddings/VertexAIEmbeddings.py
rename to src/backend/base/langflow/components/embeddings/VertexAIEmbeddings.py
index f7f4cf2ee..30866bc69 100644
--- a/src/backend/langflow/components/embeddings/VertexAIEmbeddings.py
+++ b/src/backend/base/langflow/components/embeddings/VertexAIEmbeddings.py
@@ -1,6 +1,8 @@
-from langflow import CustomComponent
+from typing import List, Optional
+
from langchain_community.embeddings import VertexAIEmbeddings
-from typing import Optional, List
+
+from langflow.interface.custom.custom_component import CustomComponent
class VertexAIEmbeddingsComponent(CustomComponent):
diff --git a/src/backend/langflow/components/embeddings/__init__.py b/src/backend/base/langflow/components/embeddings/__init__.py
similarity index 100%
rename from src/backend/langflow/components/embeddings/__init__.py
rename to src/backend/base/langflow/components/embeddings/__init__.py
diff --git a/src/backend/langflow/components/experimental/ClearMessageHistory.py b/src/backend/base/langflow/components/experimental/ClearMessageHistory.py
similarity index 90%
rename from src/backend/langflow/components/experimental/ClearMessageHistory.py
rename to src/backend/base/langflow/components/experimental/ClearMessageHistory.py
index 2ceab8f1a..3c62b7ea3 100644
--- a/src/backend/langflow/components/experimental/ClearMessageHistory.py
+++ b/src/backend/base/langflow/components/experimental/ClearMessageHistory.py
@@ -1,4 +1,4 @@
-from langflow import CustomComponent
+from langflow.interface.custom.custom_component import CustomComponent
from langflow.memory import delete_messages, get_messages
diff --git a/src/backend/langflow/components/experimental/ExtractDataFromRecord.py b/src/backend/base/langflow/components/experimental/ExtractDataFromRecord.py
similarity index 95%
rename from src/backend/langflow/components/experimental/ExtractDataFromRecord.py
rename to src/backend/base/langflow/components/experimental/ExtractDataFromRecord.py
index 6618ad213..5d816f112 100644
--- a/src/backend/langflow/components/experimental/ExtractDataFromRecord.py
+++ b/src/backend/base/langflow/components/experimental/ExtractDataFromRecord.py
@@ -1,4 +1,4 @@
-from langflow import CustomComponent
+from langflow.interface.custom.custom_component import CustomComponent
from langflow.schema import Record
diff --git a/src/backend/base/langflow/components/experimental/FlowTool.py b/src/backend/base/langflow/components/experimental/FlowTool.py
new file mode 100644
index 000000000..541341d85
--- /dev/null
+++ b/src/backend/base/langflow/components/experimental/FlowTool.py
@@ -0,0 +1,85 @@
+from typing import Any, List, Optional, Text
+
+from langchain_core.tools import StructuredTool
+from loguru import logger
+
+from langflow.custom import CustomComponent
+from langflow.field_typing import Tool
+from langflow.graph.graph.base import Graph
+from langflow.helpers.flow import build_function_and_schema
+from langflow.schema.dotdict import dotdict
+
+
+class FlowToolComponent(CustomComponent):
+ display_name = "Flow as Tool"
+ description = "Construct a Tool from a function that runs the loaded Flow."
+ field_order = ["flow_name", "name", "description", "return_direct"]
+
+ def get_flow_names(self) -> List[str]:
+ flow_records = self.list_flows()
+ return [flow_record.data["name"] for flow_record in flow_records]
+
+ def get_flow(self, flow_name: str) -> Optional[Text]:
+ """
+ Retrieves a flow by its name.
+
+ Args:
+ flow_name (str): The name of the flow to retrieve.
+
+ Returns:
+ Optional[Text]: The flow record if found, None otherwise.
+ """
+ flow_records = self.list_flows()
+ for flow_record in flow_records:
+ if flow_record.data["name"] == flow_name:
+ return flow_record
+ return None
+
+ def update_build_config(self, build_config: dotdict, field_value: Any, field_name: str | None = None):
+ logger.debug(f"Updating build config with field value {field_value} and field name {field_name}")
+ if field_name == "flow_name":
+ build_config["flow_name"]["options"] = self.get_flow_names()
+
+ return build_config
+
+ def build_config(self):
+ return {
+ "flow_name": {
+ "display_name": "Flow Name",
+ "info": "The name of the flow to run.",
+ "options": [],
+ "real_time_refresh": True,
+ "refresh_button": True,
+ },
+ "name": {
+ "display_name": "Name",
+ "description": "The name of the tool.",
+ },
+ "description": {
+ "display_name": "Description",
+ "description": "The description of the tool.",
+ },
+ "return_direct": {
+ "display_name": "Return Direct",
+ "description": "Return the result directly from the Tool.",
+ "advanced": True,
+ },
+ }
+
+ async def build(self, flow_name: str, name: str, description: str, return_direct: bool = False) -> Tool:
+ flow_record = self.get_flow(flow_name)
+ if not flow_record:
+ raise ValueError("Flow not found.")
+ graph = Graph.from_payload(flow_record.data["data"])
+ dynamic_flow_function, schema = build_function_and_schema(flow_record, graph)
+ tool = StructuredTool.from_function(
+ coroutine=dynamic_flow_function,
+ name=name,
+ description=description,
+ return_direct=return_direct,
+ args_schema=schema,
+ )
+ description_repr = repr(tool.description).strip("'")
+ args_str = "\n".join([f"- {arg_name}: {arg_data['description']}" for arg_name, arg_data in tool.args.items()])
+ self.status = f"{description_repr}\nArguments:\n{args_str}"
+ return tool
diff --git a/src/backend/langflow/components/experimental/ListFlows.py b/src/backend/base/langflow/components/experimental/ListFlows.py
similarity index 85%
rename from src/backend/langflow/components/experimental/ListFlows.py
rename to src/backend/base/langflow/components/experimental/ListFlows.py
index e0533660e..c7b421d15 100644
--- a/src/backend/langflow/components/experimental/ListFlows.py
+++ b/src/backend/base/langflow/components/experimental/ListFlows.py
@@ -1,6 +1,6 @@
from typing import List
-from langflow import CustomComponent
+from langflow.interface.custom.custom_component import CustomComponent
from langflow.schema import Record
diff --git a/src/backend/langflow/components/experimental/GetNotified.py b/src/backend/base/langflow/components/experimental/Listen.py
similarity index 66%
rename from src/backend/langflow/components/experimental/GetNotified.py
rename to src/backend/base/langflow/components/experimental/Listen.py
index 55b014b24..cab979f70 100644
--- a/src/backend/langflow/components/experimental/GetNotified.py
+++ b/src/backend/base/langflow/components/experimental/Listen.py
@@ -1,10 +1,10 @@
-from langflow import CustomComponent
+from langflow.interface.custom.custom_component import CustomComponent
from langflow.schema import Record
-class GetNotifiedComponent(CustomComponent):
- display_name = "Get Notified"
- description = "A component to get notified by Notify component."
+class ListenComponent(CustomComponent):
+ display_name = "Listen"
+ description = "A component to listen for a notification."
beta: bool = True
def build_config(self):
diff --git a/src/backend/langflow/components/experimental/MergeRecords.py b/src/backend/base/langflow/components/experimental/MergeRecords.py
similarity index 92%
rename from src/backend/langflow/components/experimental/MergeRecords.py
rename to src/backend/base/langflow/components/experimental/MergeRecords.py
index c0b112f6b..60e5ffe20 100644
--- a/src/backend/langflow/components/experimental/MergeRecords.py
+++ b/src/backend/base/langflow/components/experimental/MergeRecords.py
@@ -1,4 +1,4 @@
-from langflow import CustomComponent
+from langflow.interface.custom.custom_component import CustomComponent
from langflow.schema import Record
diff --git a/src/backend/langflow/components/experimental/Notify.py b/src/backend/base/langflow/components/experimental/Notify.py
similarity index 95%
rename from src/backend/langflow/components/experimental/Notify.py
rename to src/backend/base/langflow/components/experimental/Notify.py
index 57a496f4c..9af7f8ec6 100644
--- a/src/backend/langflow/components/experimental/Notify.py
+++ b/src/backend/base/langflow/components/experimental/Notify.py
@@ -1,6 +1,6 @@
from typing import Optional
-from langflow import CustomComponent
+from langflow.interface.custom.custom_component import CustomComponent
from langflow.schema import Record
diff --git a/src/backend/langflow/components/experimental/RunFlow.py b/src/backend/base/langflow/components/experimental/RunFlow.py
similarity index 77%
rename from src/backend/langflow/components/experimental/RunFlow.py
rename to src/backend/base/langflow/components/experimental/RunFlow.py
index 59ced9962..d3769de7a 100644
--- a/src/backend/langflow/components/experimental/RunFlow.py
+++ b/src/backend/base/langflow/components/experimental/RunFlow.py
@@ -1,9 +1,9 @@
-from typing import List, Optional
+from typing import Any, List, Optional
-from langflow import CustomComponent
+from langflow.custom import CustomComponent
from langflow.field_typing import NestedDict, Text
from langflow.graph.schema import ResultData
-from langflow.schema import Record
+from langflow.schema import Record, dotdict
class RunFlowComponent(CustomComponent):
@@ -15,6 +15,12 @@ class RunFlowComponent(CustomComponent):
flow_records = self.list_flows()
return [flow_record.data["name"] for flow_record in flow_records]
+ def update_build_config(self, build_config: dotdict, field_value: Any, field_name: str | None = None):
+ if field_name == "flow_name":
+ build_config["flow_name"]["options"] = self.get_flow_names()
+
+ return build_config
+
def build_config(self):
return {
"input_value": {
@@ -24,7 +30,8 @@ class RunFlowComponent(CustomComponent):
"flow_name": {
"display_name": "Flow Name",
"info": "The name of the flow to run.",
- "options": self.get_flow_names,
+ "options": [],
+ "refresh_button": True,
},
"tweaks": {
"display_name": "Tweaks",
@@ -45,7 +52,7 @@ class RunFlowComponent(CustomComponent):
async def build(self, input_value: Text, flow_name: str, tweaks: NestedDict) -> List[Record]:
results: List[Optional[ResultData]] = await self.run_flow(
- input_value=input_value, flow_name=flow_name, tweaks=tweaks
+ inputs={"input_value": input_value}, flow_name=flow_name, tweaks=tweaks
)
if isinstance(results, list):
records = []
diff --git a/src/backend/langflow/components/experimental/RunnableExecutor.py b/src/backend/base/langflow/components/experimental/RunnableExecutor.py
similarity index 94%
rename from src/backend/langflow/components/experimental/RunnableExecutor.py
rename to src/backend/base/langflow/components/experimental/RunnableExecutor.py
index 9d790677b..09bf5bf4d 100644
--- a/src/backend/langflow/components/experimental/RunnableExecutor.py
+++ b/src/backend/base/langflow/components/experimental/RunnableExecutor.py
@@ -1,7 +1,7 @@
from langchain_core.runnables import Runnable
-from langflow import CustomComponent
from langflow.field_typing import Text
+from langflow.interface.custom.custom_component import CustomComponent
class RunnableExecComponent(CustomComponent):
diff --git a/src/backend/langflow/components/experimental/SQLExecutor.py b/src/backend/base/langflow/components/experimental/SQLExecutor.py
similarity index 96%
rename from src/backend/langflow/components/experimental/SQLExecutor.py
rename to src/backend/base/langflow/components/experimental/SQLExecutor.py
index f8e7b3f9b..2289514a6 100644
--- a/src/backend/langflow/components/experimental/SQLExecutor.py
+++ b/src/backend/base/langflow/components/experimental/SQLExecutor.py
@@ -1,8 +1,8 @@
from langchain_community.tools.sql_database.tool import QuerySQLDataBaseTool
from langchain_experimental.sql.base import SQLDatabase
-from langflow import CustomComponent
from langflow.field_typing import Text
+from langflow.interface.custom.custom_component import CustomComponent
class SQLExecutorComponent(CustomComponent):
diff --git a/src/backend/base/langflow/components/experimental/SubFlow.py b/src/backend/base/langflow/components/experimental/SubFlow.py
new file mode 100644
index 000000000..150461275
--- /dev/null
+++ b/src/backend/base/langflow/components/experimental/SubFlow.py
@@ -0,0 +1,122 @@
+from typing import Any, List, Optional, Text, Tuple
+
+from loguru import logger
+
+from langflow.custom import CustomComponent
+from langflow.graph.graph.base import Graph
+from langflow.graph.schema import ResultData, RunOutputs
+from langflow.schema import Record
+from langflow.schema.dotdict import dotdict
+from langflow.template.field.base import TemplateField
+
+
+class SubFlowComponent(CustomComponent):
+ display_name = "SubFlow"
+ description = "Dynamically Generates a Component from a Flow. The output is a list of records with keys 'result' and 'message'."
+ beta: bool = True
+ field_order = ["flow_name"]
+
+ def get_flow_names(self) -> List[str]:
+ flow_records = self.list_flows()
+ return [flow_record.data["name"] for flow_record in flow_records]
+
+ def get_flow(self, flow_name: str) -> Optional[Text]:
+ flow_records = self.list_flows()
+ for flow_record in flow_records:
+ if flow_record.data["name"] == flow_name:
+ return flow_record
+ return None
+
+ def update_build_config(self, build_config: dotdict, field_value: Any, field_name: str | None = None):
+ logger.debug(f"Updating build config with field value {field_value} and field name {field_name}")
+ if field_name == "flow_name":
+ build_config["flow_name"]["options"] = self.get_flow_names()
+ # Clean up the build config
+ for key in list(build_config.keys()):
+ if key not in self.field_order + ["code", "_type"]:
+ del build_config[key]
+ if field_value is not None and field_name == "flow_name":
+ try:
+ flow_record = self.get_flow(field_value)
+ if not flow_record:
+ raise ValueError(f"Flow {field_value} not found.")
+ graph = Graph.from_payload(flow_record.data["data"])
+ # Get all inputs from the graph
+ inputs = self.get_flow_inputs(graph)
+ # Add inputs to the build config
+ build_config = self.add_inputs_to_build_config(inputs, build_config)
+ except Exception as e:
+ logger.error(f"Error getting flow {field_value}: {str(e)}")
+
+ return build_config
+
+ def get_flow_inputs(self, graph: Graph) -> List[Record]:
+ inputs = []
+ for vertex in graph.vertices:
+ if vertex.is_input:
+ inputs.append((vertex.id, vertex.display_name, vertex.description))
+ logger.debug(inputs)
+ return inputs
+
+ def add_inputs_to_build_config(self, inputs: List[Tuple], build_config: dotdict):
+ new_fields: list[TemplateField] = []
+ for input_id, input_display_name, input_description in inputs:
+ field = TemplateField(
+ display_name=input_display_name,
+ name=input_id,
+ info=input_description,
+ field_type="str",
+ default=None,
+ )
+ new_fields.append(field)
+ logger.debug(new_fields)
+ for field in new_fields:
+ build_config[field.name] = field.to_dict()
+ return build_config
+
+ def build_config(self):
+ return {
+ "input_value": {
+ "display_name": "Input Value",
+ "multiline": True,
+ },
+ "flow_name": {
+ "display_name": "Flow Name",
+ "info": "The name of the flow to run.",
+ "options": [],
+ "real_time_refresh": True,
+ "refresh_button": True,
+ },
+ "tweaks": {
+ "display_name": "Tweaks",
+ "info": "Tweaks to apply to the flow.",
+ },
+ }
+
+ def build_records_from_result_data(self, result_data: ResultData) -> List[Record]:
+ messages = result_data.messages
+ if not messages:
+ return []
+ records = []
+ for message in messages:
+ message_dict = message if isinstance(message, dict) else message.model_dump()
+ record = Record(data={"result": result_data.model_dump(), "message": message_dict.get("message", "")})
+ records.append(record)
+ return records
+
+ async def build(self, flow_name: str, **kwargs) -> List[Record]:
+ tweaks = {key: {"input_value": value} for key, value in kwargs.items()}
+ run_outputs: List[Optional[RunOutputs]] = await self.run_flow(
+ tweaks=tweaks,
+ flow_name=flow_name,
+ )
+ run_output = run_outputs[0]
+
+ records = []
+ for output in run_output.outputs:
+ if output:
+ records.extend(self.build_records_from_result_data(output))
+
+ self.status = records
+ logger.debug(records)
+ return records
diff --git a/src/backend/langflow/components/experimental/__init__.py b/src/backend/base/langflow/components/experimental/__init__.py
similarity index 94%
rename from src/backend/langflow/components/experimental/__init__.py
rename to src/backend/base/langflow/components/experimental/__init__.py
index 412e9075a..d23a73106 100644
--- a/src/backend/langflow/components/experimental/__init__.py
+++ b/src/backend/base/langflow/components/experimental/__init__.py
@@ -1,6 +1,6 @@
from .ClearMessageHistory import ClearMessageHistoryComponent
from .ExtractDataFromRecord import ExtractKeyFromRecordComponent
-from .GetNotified import GetNotifiedComponent
+from .Listen import GetNotifiedComponent
from .ListFlows import ListFlowsComponent
from .MergeRecords import MergeRecordsComponent
from .Notify import NotifyComponent
diff --git a/src/backend/langflow/components/helpers/CustomComponent.py b/src/backend/base/langflow/components/helpers/CustomComponent.py
similarity index 85%
rename from src/backend/langflow/components/helpers/CustomComponent.py
rename to src/backend/base/langflow/components/helpers/CustomComponent.py
index 71a5f7656..e30b5fc4e 100644
--- a/src/backend/langflow/components/helpers/CustomComponent.py
+++ b/src/backend/base/langflow/components/helpers/CustomComponent.py
@@ -1,5 +1,5 @@
-from langflow import CustomComponent
from langflow.field_typing import Data
+from langflow.interface.custom.custom_component import CustomComponent
class Component(CustomComponent):
diff --git a/src/backend/langflow/components/helpers/DocumentToRecord.py b/src/backend/base/langflow/components/helpers/DocumentToRecord.py
similarity index 89%
rename from src/backend/langflow/components/helpers/DocumentToRecord.py
rename to src/backend/base/langflow/components/helpers/DocumentToRecord.py
index b5dc3f657..2f3c9316b 100644
--- a/src/backend/langflow/components/helpers/DocumentToRecord.py
+++ b/src/backend/base/langflow/components/helpers/DocumentToRecord.py
@@ -2,7 +2,7 @@ from typing import List
from langchain_core.documents import Document
-from langflow import CustomComponent
+from langflow.interface.custom.custom_component import CustomComponent
from langflow.schema import Record
diff --git a/src/backend/langflow/components/helpers/IDGenerator.py b/src/backend/base/langflow/components/helpers/IDGenerator.py
similarity index 91%
rename from src/backend/langflow/components/helpers/IDGenerator.py
rename to src/backend/base/langflow/components/helpers/IDGenerator.py
index e69b2457e..534dd63ed 100644
--- a/src/backend/langflow/components/helpers/IDGenerator.py
+++ b/src/backend/base/langflow/components/helpers/IDGenerator.py
@@ -1,7 +1,7 @@
import uuid
from typing import Any, Optional
-from langflow import CustomComponent
+from langflow.interface.custom.custom_component import CustomComponent
class UUIDGeneratorComponent(CustomComponent):
diff --git a/src/backend/langflow/components/helpers/MessageHistory.py b/src/backend/base/langflow/components/helpers/MessageHistory.py
similarity index 95%
rename from src/backend/langflow/components/helpers/MessageHistory.py
rename to src/backend/base/langflow/components/helpers/MessageHistory.py
index dabba3869..87bbb12c9 100644
--- a/src/backend/langflow/components/helpers/MessageHistory.py
+++ b/src/backend/base/langflow/components/helpers/MessageHistory.py
@@ -1,6 +1,6 @@
from typing import List, Optional
-from langflow import CustomComponent
+from langflow.interface.custom.custom_component import CustomComponent
from langflow.memory import get_messages
from langflow.schema import Record
diff --git a/src/backend/langflow/components/helpers/PythonFunction.py b/src/backend/base/langflow/components/helpers/PythonFunction.py
similarity index 90%
rename from src/backend/langflow/components/helpers/PythonFunction.py
rename to src/backend/base/langflow/components/helpers/PythonFunction.py
index 0fab524cc..28e902abe 100644
--- a/src/backend/langflow/components/helpers/PythonFunction.py
+++ b/src/backend/base/langflow/components/helpers/PythonFunction.py
@@ -1,7 +1,7 @@
from typing import Callable
-from langflow import CustomComponent
from langflow.field_typing import Code
+from langflow.interface.custom.custom_component import CustomComponent
from langflow.interface.custom.utils import get_function
diff --git a/src/backend/langflow/components/helpers/RecordsAsText.py b/src/backend/base/langflow/components/helpers/RecordsAsText.py
similarity index 93%
rename from src/backend/langflow/components/helpers/RecordsAsText.py
rename to src/backend/base/langflow/components/helpers/RecordsAsText.py
index f7750bdba..5597e411a 100644
--- a/src/backend/langflow/components/helpers/RecordsAsText.py
+++ b/src/backend/base/langflow/components/helpers/RecordsAsText.py
@@ -1,6 +1,6 @@
-from langflow import CustomComponent
from langflow.field_typing import Text
from langflow.helpers.record import records_to_text
+from langflow.interface.custom.custom_component import CustomComponent
from langflow.schema import Record
diff --git a/src/backend/langflow/components/tools/SearchApi.py b/src/backend/base/langflow/components/helpers/SearchApi.py
similarity index 87%
rename from src/backend/langflow/components/tools/SearchApi.py
rename to src/backend/base/langflow/components/helpers/SearchApi.py
index 53da6c741..3dcd48d9f 100644
--- a/src/backend/langflow/components/tools/SearchApi.py
+++ b/src/backend/base/langflow/components/helpers/SearchApi.py
@@ -1,9 +1,11 @@
-from langflow import CustomComponent
-from langchain.schema import Document
-from langflow.services.database.models.base import orjson_dumps
-from langchain_community.utilities.searchapi import SearchApiAPIWrapper
from typing import Optional
+from langchain_community.utilities.searchapi import SearchApiAPIWrapper
+
+from langflow.custom import CustomComponent
+from langflow.schema.schema import Record
+from langflow.services.database.models.base import orjson_dumps
+
class SearchApi(CustomComponent):
display_name: str = "SearchApi"
@@ -35,7 +37,7 @@ class SearchApi(CustomComponent):
engine: str,
api_key: str,
params: Optional[dict] = None,
- ) -> Document:
+ ) -> Record:
if params is None:
params = {}
@@ -46,6 +48,6 @@ class SearchApi(CustomComponent):
result = orjson_dumps(results, indent_2=False)
- document = Document(page_content=result)
-
- return document
+ record = Record(data=result)
+ self.status = record
+ return record
diff --git a/src/backend/langflow/components/helpers/TextToRecord.py b/src/backend/base/langflow/components/helpers/TextToRecord.py
similarity index 89%
rename from src/backend/langflow/components/helpers/TextToRecord.py
rename to src/backend/base/langflow/components/helpers/TextToRecord.py
index 396458c5e..72668a580 100644
--- a/src/backend/langflow/components/helpers/TextToRecord.py
+++ b/src/backend/base/langflow/components/helpers/TextToRecord.py
@@ -1,4 +1,4 @@
-from langflow import CustomComponent
+from langflow.interface.custom.custom_component import CustomComponent
from langflow.schema import Record
diff --git a/src/backend/langflow/components/helpers/UpdateRecord.py b/src/backend/base/langflow/components/helpers/UpdateRecord.py
similarity index 93%
rename from src/backend/langflow/components/helpers/UpdateRecord.py
rename to src/backend/base/langflow/components/helpers/UpdateRecord.py
index 0ec08de08..749f3abe8 100644
--- a/src/backend/langflow/components/helpers/UpdateRecord.py
+++ b/src/backend/base/langflow/components/helpers/UpdateRecord.py
@@ -1,4 +1,4 @@
-from langflow import CustomComponent
+from langflow.interface.custom.custom_component import CustomComponent
from langflow.schema import Record
diff --git a/src/backend/langflow/components/helpers/__init__.py b/src/backend/base/langflow/components/helpers/__init__.py
similarity index 100%
rename from src/backend/langflow/components/helpers/__init__.py
rename to src/backend/base/langflow/components/helpers/__init__.py
diff --git a/src/backend/langflow/components/inputs/ChatInput.py b/src/backend/base/langflow/components/inputs/ChatInput.py
similarity index 100%
rename from src/backend/langflow/components/inputs/ChatInput.py
rename to src/backend/base/langflow/components/inputs/ChatInput.py
diff --git a/src/backend/base/langflow/components/inputs/JSONInput.py b/src/backend/base/langflow/components/inputs/JSONInput.py
new file mode 100644
index 000000000..0306c2c61
--- /dev/null
+++ b/src/backend/base/langflow/components/inputs/JSONInput.py
@@ -0,0 +1,30 @@
+import ast
+import json
+
+from langflow.custom import CustomComponent
+from langflow.schema import Record
+
+
+class JSONInputComponent(CustomComponent):
+ display_name = "JSON Input"
+ description = "Load a JSON object as input."
+
+ def build_config(self):
+ return {
+ "json_str": {
+ "display_name": "JSON String",
+ "multiline": True,
+ "info": "The JSON string to load.",
+ }
+ }
+
+ def build(self, json_str: str) -> Record:
+ try:
+ data = json.loads(json_str)
+ except json.JSONDecodeError:
+ try:
+ data = ast.literal_eval(json_str)
+ except (SyntaxError, ValueError):
+ raise ValueError("Invalid JSON string.")
+ record = Record(data=data)
+ return record
diff --git a/src/backend/langflow/components/inputs/Prompt.py b/src/backend/base/langflow/components/inputs/Prompt.py
similarity index 93%
rename from src/backend/langflow/components/inputs/Prompt.py
rename to src/backend/base/langflow/components/inputs/Prompt.py
index 17055aec3..40f86ccb2 100644
--- a/src/backend/langflow/components/inputs/Prompt.py
+++ b/src/backend/base/langflow/components/inputs/Prompt.py
@@ -1,7 +1,7 @@
from langchain_core.prompts import PromptTemplate
-from langflow import CustomComponent
from langflow.field_typing import Prompt, TemplateField, Text
+from langflow.interface.custom.custom_component import CustomComponent
class PromptComponent(CustomComponent):
diff --git a/src/backend/langflow/components/inputs/TextInput.py b/src/backend/base/langflow/components/inputs/TextInput.py
similarity index 100%
rename from src/backend/langflow/components/inputs/TextInput.py
rename to src/backend/base/langflow/components/inputs/TextInput.py
diff --git a/src/backend/langflow/components/inputs/__init__.py b/src/backend/base/langflow/components/inputs/__init__.py
similarity index 100%
rename from src/backend/langflow/components/inputs/__init__.py
rename to src/backend/base/langflow/components/inputs/__init__.py
diff --git a/src/backend/langflow/components/langchain_utilities/BingSearchAPIWrapper.py b/src/backend/base/langflow/components/langchain_utilities/BingSearchAPIWrapper.py
similarity index 94%
rename from src/backend/langflow/components/langchain_utilities/BingSearchAPIWrapper.py
rename to src/backend/base/langflow/components/langchain_utilities/BingSearchAPIWrapper.py
index b9dc4a2ef..23eebee10 100644
--- a/src/backend/langflow/components/langchain_utilities/BingSearchAPIWrapper.py
+++ b/src/backend/base/langflow/components/langchain_utilities/BingSearchAPIWrapper.py
@@ -1,10 +1,10 @@
-from langflow import CustomComponent
-
# Assuming `BingSearchAPIWrapper` is a class that exists in the context
# and has the appropriate methods and attributes.
# We need to make sure this class is importable from the context where this code will be running.
from langchain_community.utilities.bing_search import BingSearchAPIWrapper
+from langflow.interface.custom.custom_component import CustomComponent
+
class BingSearchAPIWrapperComponent(CustomComponent):
display_name = "BingSearchAPIWrapper"
diff --git a/src/backend/langflow/components/langchain_utilities/GoogleSearchAPIWrapper.py b/src/backend/base/langflow/components/langchain_utilities/GoogleSearchAPIWrapper.py
similarity index 91%
rename from src/backend/langflow/components/langchain_utilities/GoogleSearchAPIWrapper.py
rename to src/backend/base/langflow/components/langchain_utilities/GoogleSearchAPIWrapper.py
index 1d7123dc3..3f2f67faf 100644
--- a/src/backend/langflow/components/langchain_utilities/GoogleSearchAPIWrapper.py
+++ b/src/backend/base/langflow/components/langchain_utilities/GoogleSearchAPIWrapper.py
@@ -1,7 +1,8 @@
from typing import Callable, Union
from langchain_community.utilities.google_search import GoogleSearchAPIWrapper
-from langflow import CustomComponent
+
+from langflow.interface.custom.custom_component import CustomComponent
class GoogleSearchAPIWrapperComponent(CustomComponent):
diff --git a/src/backend/langflow/components/langchain_utilities/GoogleSerperAPIWrapper.py b/src/backend/base/langflow/components/langchain_utilities/GoogleSerperAPIWrapper.py
similarity index 95%
rename from src/backend/langflow/components/langchain_utilities/GoogleSerperAPIWrapper.py
rename to src/backend/base/langflow/components/langchain_utilities/GoogleSerperAPIWrapper.py
index 3c340e9c2..e70e85cf4 100644
--- a/src/backend/langflow/components/langchain_utilities/GoogleSerperAPIWrapper.py
+++ b/src/backend/base/langflow/components/langchain_utilities/GoogleSerperAPIWrapper.py
@@ -4,7 +4,7 @@ from typing import Dict
# If this class does not exist, you would need to create it or import the appropriate class from another module
from langchain_community.utilities.google_serper import GoogleSerperAPIWrapper
-from langflow import CustomComponent
+from langflow.interface.custom.custom_component import CustomComponent
class GoogleSerperAPIWrapperComponent(CustomComponent):
diff --git a/src/backend/langflow/components/langchain_utilities/JSONDocumentBuilder.py b/src/backend/base/langflow/components/langchain_utilities/JSONDocumentBuilder.py
similarity index 95%
rename from src/backend/langflow/components/langchain_utilities/JSONDocumentBuilder.py
rename to src/backend/base/langflow/components/langchain_utilities/JSONDocumentBuilder.py
index b287bf40c..df783470a 100644
--- a/src/backend/langflow/components/langchain_utilities/JSONDocumentBuilder.py
+++ b/src/backend/base/langflow/components/langchain_utilities/JSONDocumentBuilder.py
@@ -12,7 +12,8 @@
# - **Document:** The Document containing the JSON object.
from langchain_core.documents import Document
-from langflow import CustomComponent
+
+from langflow.interface.custom.custom_component import CustomComponent
from langflow.services.database.models.base import orjson_dumps
diff --git a/src/backend/langflow/components/langchain_utilities/SQLDatabase.py b/src/backend/base/langflow/components/langchain_utilities/SQLDatabase.py
similarity index 89%
rename from src/backend/langflow/components/langchain_utilities/SQLDatabase.py
rename to src/backend/base/langflow/components/langchain_utilities/SQLDatabase.py
index ddd1be318..7bbbdb870 100644
--- a/src/backend/langflow/components/langchain_utilities/SQLDatabase.py
+++ b/src/backend/base/langflow/components/langchain_utilities/SQLDatabase.py
@@ -1,6 +1,6 @@
from langchain_experimental.sql.base import SQLDatabase
-from langflow import CustomComponent
+from langflow.interface.custom.custom_component import CustomComponent
class SQLDatabaseComponent(CustomComponent):
diff --git a/src/backend/langflow/components/langchain_utilities/SearxSearchWrapper.py b/src/backend/base/langflow/components/langchain_utilities/SearxSearchWrapper.py
similarity index 90%
rename from src/backend/langflow/components/langchain_utilities/SearxSearchWrapper.py
rename to src/backend/base/langflow/components/langchain_utilities/SearxSearchWrapper.py
index b406f3882..d255f34b7 100644
--- a/src/backend/langflow/components/langchain_utilities/SearxSearchWrapper.py
+++ b/src/backend/base/langflow/components/langchain_utilities/SearxSearchWrapper.py
@@ -1,7 +1,9 @@
-from langflow import CustomComponent
-from typing import Optional, Dict
+from typing import Dict, Optional
+
from langchain_community.utilities.searx_search import SearxSearchWrapper
+from langflow.interface.custom.custom_component import CustomComponent
+
class SearxSearchWrapperComponent(CustomComponent):
display_name = "SearxSearchWrapper"
diff --git a/src/backend/langflow/components/langchain_utilities/SerpAPIWrapper.py b/src/backend/base/langflow/components/langchain_utilities/SerpAPIWrapper.py
similarity index 93%
rename from src/backend/langflow/components/langchain_utilities/SerpAPIWrapper.py
rename to src/backend/base/langflow/components/langchain_utilities/SerpAPIWrapper.py
index 924f5628d..c64a26e79 100644
--- a/src/backend/langflow/components/langchain_utilities/SerpAPIWrapper.py
+++ b/src/backend/base/langflow/components/langchain_utilities/SerpAPIWrapper.py
@@ -1,7 +1,8 @@
from typing import Callable, Union
from langchain_community.utilities.serpapi import SerpAPIWrapper
-from langflow import CustomComponent
+
+from langflow.interface.custom.custom_component import CustomComponent
class SerpAPIWrapperComponent(CustomComponent):
diff --git a/src/backend/langflow/components/langchain_utilities/WikipediaAPIWrapper.py b/src/backend/base/langflow/components/langchain_utilities/WikipediaAPIWrapper.py
similarity index 93%
rename from src/backend/langflow/components/langchain_utilities/WikipediaAPIWrapper.py
rename to src/backend/base/langflow/components/langchain_utilities/WikipediaAPIWrapper.py
index 00820881b..144792315 100644
--- a/src/backend/langflow/components/langchain_utilities/WikipediaAPIWrapper.py
+++ b/src/backend/base/langflow/components/langchain_utilities/WikipediaAPIWrapper.py
@@ -1,7 +1,8 @@
from typing import Callable, Union
from langchain_community.utilities.wikipedia import WikipediaAPIWrapper
-from langflow import CustomComponent
+
+from langflow.interface.custom.custom_component import CustomComponent
# Assuming WikipediaAPIWrapper is a class that needs to be imported.
# The import statement is not included as it is not provided in the JSON
diff --git a/src/backend/langflow/components/langchain_utilities/WolframAlphaAPIWrapper.py b/src/backend/base/langflow/components/langchain_utilities/WolframAlphaAPIWrapper.py
similarity index 90%
rename from src/backend/langflow/components/langchain_utilities/WolframAlphaAPIWrapper.py
rename to src/backend/base/langflow/components/langchain_utilities/WolframAlphaAPIWrapper.py
index 2e71a161c..bc224e83c 100644
--- a/src/backend/langflow/components/langchain_utilities/WolframAlphaAPIWrapper.py
+++ b/src/backend/base/langflow/components/langchain_utilities/WolframAlphaAPIWrapper.py
@@ -1,7 +1,8 @@
from typing import Callable, Union
from langchain_community.utilities.wolfram_alpha import WolframAlphaAPIWrapper
-from langflow import CustomComponent
+
+from langflow.interface.custom.custom_component import CustomComponent
# Since all the fields in the JSON have show=False, we will only create a basic component
# without any configurable fields.
diff --git a/src/backend/langflow/processing/__init__.py b/src/backend/base/langflow/components/memories/__init__.py
similarity index 100%
rename from src/backend/langflow/processing/__init__.py
rename to src/backend/base/langflow/components/memories/__init__.py
diff --git a/src/backend/langflow/components/model_specs/AmazonBedrockSpecs.py b/src/backend/base/langflow/components/model_specs/AmazonBedrockSpecs.py
similarity index 96%
rename from src/backend/langflow/components/model_specs/AmazonBedrockSpecs.py
rename to src/backend/base/langflow/components/model_specs/AmazonBedrockSpecs.py
index 92b7bc7f9..1a18f5c08 100644
--- a/src/backend/langflow/components/model_specs/AmazonBedrockSpecs.py
+++ b/src/backend/base/langflow/components/model_specs/AmazonBedrockSpecs.py
@@ -3,8 +3,7 @@ from typing import Optional
from langchain.llms.base import BaseLLM
from langchain_community.llms.bedrock import Bedrock
-
-from langflow import CustomComponent
+from langflow.interface.custom.custom_component import CustomComponent
class AmazonBedrockComponent(CustomComponent):
diff --git a/src/backend/langflow/components/model_specs/AnthropicLLMSpecs.py b/src/backend/base/langflow/components/model_specs/AnthropicLLMSpecs.py
similarity index 97%
rename from src/backend/langflow/components/model_specs/AnthropicLLMSpecs.py
rename to src/backend/base/langflow/components/model_specs/AnthropicLLMSpecs.py
index d5c093863..2ea78162b 100644
--- a/src/backend/langflow/components/model_specs/AnthropicLLMSpecs.py
+++ b/src/backend/base/langflow/components/model_specs/AnthropicLLMSpecs.py
@@ -1,10 +1,10 @@
from typing import Optional
-from langchain_community.chat_models.anthropic import ChatAnthropic
from langchain.llms.base import BaseLanguageModel
+from langchain_community.chat_models.anthropic import ChatAnthropic
from pydantic.v1 import SecretStr
-from langflow import CustomComponent
+from langflow.interface.custom.custom_component import CustomComponent
class AnthropicLLM(CustomComponent):
diff --git a/src/backend/langflow/components/model_specs/AnthropicSpecs.py b/src/backend/base/langflow/components/model_specs/AnthropicSpecs.py
similarity index 95%
rename from src/backend/langflow/components/model_specs/AnthropicSpecs.py
rename to src/backend/base/langflow/components/model_specs/AnthropicSpecs.py
index 218dac33f..23c284888 100644
--- a/src/backend/langflow/components/model_specs/AnthropicSpecs.py
+++ b/src/backend/base/langflow/components/model_specs/AnthropicSpecs.py
@@ -3,8 +3,8 @@ from typing import Optional
from langchain_community.llms.anthropic import Anthropic
from pydantic.v1 import SecretStr
-from langflow import CustomComponent
from langflow.field_typing import BaseLanguageModel, NestedDict
+from langflow.interface.custom.custom_component import CustomComponent
class AnthropicComponent(CustomComponent):
diff --git a/src/backend/langflow/components/model_specs/AzureChatOpenAISpecs.py b/src/backend/base/langflow/components/model_specs/AzureChatOpenAISpecs.py
similarity index 97%
rename from src/backend/langflow/components/model_specs/AzureChatOpenAISpecs.py
rename to src/backend/base/langflow/components/model_specs/AzureChatOpenAISpecs.py
index e6e1b5da5..6f468bbed 100644
--- a/src/backend/langflow/components/model_specs/AzureChatOpenAISpecs.py
+++ b/src/backend/base/langflow/components/model_specs/AzureChatOpenAISpecs.py
@@ -3,7 +3,7 @@ from typing import Optional
from langchain.llms.base import BaseLanguageModel
from langchain_community.chat_models.azure_openai import AzureChatOpenAI
-from langflow import CustomComponent
+from langflow.interface.custom.custom_component import CustomComponent
class AzureChatOpenAISpecsComponent(CustomComponent):
diff --git a/src/backend/langflow/components/model_specs/BaiduQianfanChatEndpointsSpecs.py b/src/backend/base/langflow/components/model_specs/BaiduQianfanChatEndpointsSpecs.py
similarity index 98%
rename from src/backend/langflow/components/model_specs/BaiduQianfanChatEndpointsSpecs.py
rename to src/backend/base/langflow/components/model_specs/BaiduQianfanChatEndpointsSpecs.py
index fd7341e15..9c39acdf6 100644
--- a/src/backend/langflow/components/model_specs/BaiduQianfanChatEndpointsSpecs.py
+++ b/src/backend/base/langflow/components/model_specs/BaiduQianfanChatEndpointsSpecs.py
@@ -1,10 +1,10 @@
from typing import Optional
-from langchain_community.chat_models.baidu_qianfan_endpoint import QianfanChatEndpoint
from langchain.llms.base import BaseLLM
+from langchain_community.chat_models.baidu_qianfan_endpoint import QianfanChatEndpoint
from pydantic.v1 import SecretStr
-from langflow import CustomComponent
+from langflow.interface.custom.custom_component import CustomComponent
class QianfanChatEndpointComponent(CustomComponent):
diff --git a/src/backend/langflow/components/model_specs/BaiduQianfanLLMEndpointsSpecs.py b/src/backend/base/langflow/components/model_specs/BaiduQianfanLLMEndpointsSpecs.py
similarity index 97%
rename from src/backend/langflow/components/model_specs/BaiduQianfanLLMEndpointsSpecs.py
rename to src/backend/base/langflow/components/model_specs/BaiduQianfanLLMEndpointsSpecs.py
index 786c4516b..acbf8ba28 100644
--- a/src/backend/langflow/components/model_specs/BaiduQianfanLLMEndpointsSpecs.py
+++ b/src/backend/base/langflow/components/model_specs/BaiduQianfanLLMEndpointsSpecs.py
@@ -1,8 +1,10 @@
from typing import Optional
-from langflow import CustomComponent
+
from langchain.llms.baidu_qianfan_endpoint import QianfanLLMEndpoint
from langchain.llms.base import BaseLLM
+from langflow.interface.custom.custom_component import CustomComponent
+
class QianfanLLMEndpointComponent(CustomComponent):
display_name: str = "QianfanLLMEndpoint"
diff --git a/src/backend/langflow/components/model_specs/CTransformersSpecs.py b/src/backend/base/langflow/components/model_specs/CTransformersSpecs.py
similarity index 95%
rename from src/backend/langflow/components/model_specs/CTransformersSpecs.py
rename to src/backend/base/langflow/components/model_specs/CTransformersSpecs.py
index a0668814e..ffa4f57e7 100644
--- a/src/backend/langflow/components/model_specs/CTransformersSpecs.py
+++ b/src/backend/base/langflow/components/model_specs/CTransformersSpecs.py
@@ -2,7 +2,7 @@ from typing import Dict, Optional
from langchain_community.llms.ctransformers import CTransformers
-from langflow import CustomComponent
+from langflow.interface.custom.custom_component import CustomComponent
class CTransformersComponent(CustomComponent):
diff --git a/src/backend/langflow/components/model_specs/ChatAnthropicSpecs.py b/src/backend/base/langflow/components/model_specs/ChatAnthropicSpecs.py
similarity index 92%
rename from src/backend/langflow/components/model_specs/ChatAnthropicSpecs.py
rename to src/backend/base/langflow/components/model_specs/ChatAnthropicSpecs.py
index fe3c3b6bb..3b6a0e637 100644
--- a/src/backend/langflow/components/model_specs/ChatAnthropicSpecs.py
+++ b/src/backend/base/langflow/components/model_specs/ChatAnthropicSpecs.py
@@ -1,8 +1,10 @@
-from pydantic.v1.types import SecretStr
-from langflow import CustomComponent
-from typing import Optional, Union, Callable
-from langflow.field_typing import BaseLanguageModel
+from typing import Callable, Optional, Union
+
from langchain_community.chat_models.anthropic import ChatAnthropic
+from pydantic.v1.types import SecretStr
+
+from langflow.field_typing import BaseLanguageModel
+from langflow.interface.custom.custom_component import CustomComponent
class ChatAnthropicComponent(CustomComponent):
diff --git a/src/backend/langflow/components/model_specs/ChatLiteLLMSpecs.py b/src/backend/base/langflow/components/model_specs/ChatLiteLLMSpecs.py
similarity index 98%
rename from src/backend/langflow/components/model_specs/ChatLiteLLMSpecs.py
rename to src/backend/base/langflow/components/model_specs/ChatLiteLLMSpecs.py
index 6760c12aa..5c1463b71 100644
--- a/src/backend/langflow/components/model_specs/ChatLiteLLMSpecs.py
+++ b/src/backend/base/langflow/components/model_specs/ChatLiteLLMSpecs.py
@@ -1,9 +1,8 @@
from typing import Any, Callable, Dict, Optional, Union
from langchain_community.chat_models.litellm import ChatLiteLLM, ChatLiteLLMException
-
-from langflow import CustomComponent
from langflow.field_typing import BaseLanguageModel
+from langflow.interface.custom.custom_component import CustomComponent
class ChatLiteLLMComponent(CustomComponent):
diff --git a/src/backend/langflow/components/model_specs/ChatOllamaEndpointSpecs.py b/src/backend/base/langflow/components/model_specs/ChatOllamaEndpointSpecs.py
similarity index 98%
rename from src/backend/langflow/components/model_specs/ChatOllamaEndpointSpecs.py
rename to src/backend/base/langflow/components/model_specs/ChatOllamaEndpointSpecs.py
index 34e9e0bd7..6afde420c 100644
--- a/src/backend/langflow/components/model_specs/ChatOllamaEndpointSpecs.py
+++ b/src/backend/base/langflow/components/model_specs/ChatOllamaEndpointSpecs.py
@@ -5,9 +5,8 @@ from langchain_community.chat_models import ChatOllama
from langchain_core.language_models.chat_models import BaseChatModel
# from langchain.chat_models import ChatOllama
-from langflow import CustomComponent
+from langflow.interface.custom.custom_component import CustomComponent
-# whe When a callback component is added to Langflow, the comment must be uncommented.
# from langchain.callbacks.manager import CallbackManager
diff --git a/src/backend/langflow/components/model_specs/ChatOpenAISpecs.py b/src/backend/base/langflow/components/model_specs/ChatOpenAISpecs.py
similarity index 97%
rename from src/backend/langflow/components/model_specs/ChatOpenAISpecs.py
rename to src/backend/base/langflow/components/model_specs/ChatOpenAISpecs.py
index 0f20f0852..fcaf80965 100644
--- a/src/backend/langflow/components/model_specs/ChatOpenAISpecs.py
+++ b/src/backend/base/langflow/components/model_specs/ChatOpenAISpecs.py
@@ -2,8 +2,9 @@ from typing import Optional, Union
from langchain.llms import BaseLLM
from langchain_community.chat_models.openai import ChatOpenAI
-from langflow import CustomComponent
+
from langflow.field_typing import BaseLanguageModel, NestedDict
+from langflow.interface.custom.custom_component import CustomComponent
class ChatOpenAIComponent(CustomComponent):
diff --git a/src/backend/langflow/components/model_specs/ChatVertexAISpecs.py b/src/backend/base/langflow/components/model_specs/ChatVertexAISpecs.py
similarity index 97%
rename from src/backend/langflow/components/model_specs/ChatVertexAISpecs.py
rename to src/backend/base/langflow/components/model_specs/ChatVertexAISpecs.py
index a1c8556a7..fd8b5b427 100644
--- a/src/backend/langflow/components/model_specs/ChatVertexAISpecs.py
+++ b/src/backend/base/langflow/components/model_specs/ChatVertexAISpecs.py
@@ -3,8 +3,9 @@ from typing import List, Optional, Union
from langchain.llms import BaseLLM
from langchain_community.chat_models.vertexai import ChatVertexAI
from langchain_core.messages.base import BaseMessage
-from langflow import CustomComponent
+
from langflow.field_typing import BaseLanguageModel
+from langflow.interface.custom.custom_component import CustomComponent
class ChatVertexAIComponent(CustomComponent):
diff --git a/src/backend/langflow/components/model_specs/CohereSpecs.py b/src/backend/base/langflow/components/model_specs/CohereSpecs.py
similarity index 93%
rename from src/backend/langflow/components/model_specs/CohereSpecs.py
rename to src/backend/base/langflow/components/model_specs/CohereSpecs.py
index 8cb0f3624..eeda381a4 100644
--- a/src/backend/langflow/components/model_specs/CohereSpecs.py
+++ b/src/backend/base/langflow/components/model_specs/CohereSpecs.py
@@ -1,6 +1,7 @@
from langchain_community.llms.cohere import Cohere
from langchain_core.language_models.base import BaseLanguageModel
-from langflow import CustomComponent
+
+from langflow.interface.custom.custom_component import CustomComponent
class CohereComponent(CustomComponent):
diff --git a/src/backend/langflow/components/model_specs/GoogleGenerativeAISpecs.py b/src/backend/base/langflow/components/model_specs/GoogleGenerativeAISpecs.py
similarity index 97%
rename from src/backend/langflow/components/model_specs/GoogleGenerativeAISpecs.py
rename to src/backend/base/langflow/components/model_specs/GoogleGenerativeAISpecs.py
index 9ff17e389..63e8b003e 100644
--- a/src/backend/langflow/components/model_specs/GoogleGenerativeAISpecs.py
+++ b/src/backend/base/langflow/components/model_specs/GoogleGenerativeAISpecs.py
@@ -1,10 +1,11 @@
from typing import Optional
from langchain_google_genai import ChatGoogleGenerativeAI # type: ignore
-from langflow import CustomComponent
-from langflow.field_typing import BaseLanguageModel, RangeSpec
from pydantic.v1.types import SecretStr
+from langflow.field_typing import BaseLanguageModel, RangeSpec
+from langflow.interface.custom.custom_component import CustomComponent
+
class GoogleGenerativeAIComponent(CustomComponent):
display_name: str = "Google Generative AI"
diff --git a/src/backend/langflow/components/model_specs/HuggingFaceEndpointsSpecs.py b/src/backend/base/langflow/components/model_specs/HuggingFaceEndpointsSpecs.py
similarity index 95%
rename from src/backend/langflow/components/model_specs/HuggingFaceEndpointsSpecs.py
rename to src/backend/base/langflow/components/model_specs/HuggingFaceEndpointsSpecs.py
index 4b5b07b9a..c3e74b1bd 100644
--- a/src/backend/langflow/components/model_specs/HuggingFaceEndpointsSpecs.py
+++ b/src/backend/base/langflow/components/model_specs/HuggingFaceEndpointsSpecs.py
@@ -2,7 +2,8 @@ from typing import Optional
from langchain.llms.base import BaseLLM
from langchain.llms.huggingface_endpoint import HuggingFaceEndpoint
-from langflow import CustomComponent
+
+from langflow.interface.custom.custom_component import CustomComponent
class HuggingFaceEndpointsComponent(CustomComponent):
diff --git a/src/backend/langflow/components/model_specs/LlamaCppSpecs.py b/src/backend/base/langflow/components/model_specs/LlamaCppSpecs.py
similarity index 97%
rename from src/backend/langflow/components/model_specs/LlamaCppSpecs.py
rename to src/backend/base/langflow/components/model_specs/LlamaCppSpecs.py
index 831665bfa..599ff8850 100644
--- a/src/backend/langflow/components/model_specs/LlamaCppSpecs.py
+++ b/src/backend/base/langflow/components/model_specs/LlamaCppSpecs.py
@@ -1,7 +1,9 @@
-from typing import Optional, List, Dict, Any
-from langflow import CustomComponent
+from typing import Any, Dict, List, Optional
+
from langchain_community.llms.llamacpp import LlamaCpp
+from langflow.interface.custom.custom_component import CustomComponent
+
class LlamaCppComponent(CustomComponent):
display_name = "LlamaCpp"
diff --git a/src/backend/langflow/components/model_specs/OllamaLLMSpecs.py b/src/backend/base/langflow/components/model_specs/OllamaLLMSpecs.py
similarity index 98%
rename from src/backend/langflow/components/model_specs/OllamaLLMSpecs.py
rename to src/backend/base/langflow/components/model_specs/OllamaLLMSpecs.py
index eb5c52975..8d94467db 100644
--- a/src/backend/langflow/components/model_specs/OllamaLLMSpecs.py
+++ b/src/backend/base/langflow/components/model_specs/OllamaLLMSpecs.py
@@ -3,7 +3,7 @@ from typing import List, Optional
from langchain.llms.base import BaseLLM
from langchain_community.llms.ollama import Ollama
-from langflow import CustomComponent
+from langflow.interface.custom.custom_component import CustomComponent
class OllamaLLM(CustomComponent):
diff --git a/src/backend/langflow/components/model_specs/VertexAISpecs.py b/src/backend/base/langflow/components/model_specs/VertexAISpecs.py
similarity index 97%
rename from src/backend/langflow/components/model_specs/VertexAISpecs.py
rename to src/backend/base/langflow/components/model_specs/VertexAISpecs.py
index d622ddc81..f186f2ed0 100644
--- a/src/backend/langflow/components/model_specs/VertexAISpecs.py
+++ b/src/backend/base/langflow/components/model_specs/VertexAISpecs.py
@@ -1,8 +1,10 @@
-from langflow import CustomComponent
+from typing import Callable, Dict, Optional, Union
+
from langchain.llms import BaseLLM
-from typing import Optional, Union, Callable, Dict
from langchain_community.llms.vertexai import VertexAI
+from langflow.interface.custom.custom_component import CustomComponent
+
class VertexAIComponent(CustomComponent):
display_name = "VertexAI"
diff --git a/src/backend/langflow/components/model_specs/__init__.py b/src/backend/base/langflow/components/model_specs/__init__.py
similarity index 100%
rename from src/backend/langflow/components/model_specs/__init__.py
rename to src/backend/base/langflow/components/model_specs/__init__.py
diff --git a/src/backend/langflow/components/models/AmazonBedrockModel.py b/src/backend/base/langflow/components/models/AmazonBedrockModel.py
similarity index 89%
rename from src/backend/langflow/components/models/AmazonBedrockModel.py
rename to src/backend/base/langflow/components/models/AmazonBedrockModel.py
index 00ece9a23..f263066df 100644
--- a/src/backend/langflow/components/models/AmazonBedrockModel.py
+++ b/src/backend/base/langflow/components/models/AmazonBedrockModel.py
@@ -2,7 +2,7 @@ from typing import Optional
from langchain_community.chat_models.bedrock import BedrockChat
-from langflow.components.models.base.model import LCModelComponent
+from langflow.base.models.model import LCModelComponent
from langflow.field_typing import Text
@@ -36,6 +36,7 @@ class AmazonBedrockComponent(LCModelComponent):
"cache": {"display_name": "Cache"},
"code": {"advanced": True},
"input_value": {"display_name": "Input"},
+ "system_message": {"display_name": "System Message", "info": "System message to pass to the model."},
"stream": {
"display_name": "Stream",
"info": "Stream the response from the model.",
@@ -45,6 +46,7 @@ class AmazonBedrockComponent(LCModelComponent):
def build(
self,
input_value: Text,
+ system_message: Optional[str] = None,
model_id: str = "anthropic.claude-instant-v1",
credentials_profile_name: Optional[str] = None,
region_name: Optional[str] = None,
@@ -67,4 +69,4 @@ class AmazonBedrockComponent(LCModelComponent):
except Exception as e:
raise ValueError("Could not connect to AmazonBedrock API.") from e
- return self.get_result(output=output, stream=stream, input_value=input_value)
+ return self.get_chat_result(output, stream, input_value, system_message)
diff --git a/src/backend/langflow/components/models/AnthropicModel.py b/src/backend/base/langflow/components/models/AnthropicModel.py
similarity index 88%
rename from src/backend/langflow/components/models/AnthropicModel.py
rename to src/backend/base/langflow/components/models/AnthropicModel.py
index 67c43fd18..f5a3dbb40 100644
--- a/src/backend/langflow/components/models/AnthropicModel.py
+++ b/src/backend/base/langflow/components/models/AnthropicModel.py
@@ -3,7 +3,7 @@ from typing import Optional
from langchain_anthropic.chat_models import ChatAnthropic
from pydantic.v1 import SecretStr
-from langflow.components.models.base.model import LCModelComponent
+from langflow.base.models.model import LCModelComponent
from langflow.field_typing import Text
@@ -53,12 +53,17 @@ class AnthropicLLM(LCModelComponent):
"display_name": "Stream",
"info": "Stream the response from the model.",
},
+ "system_message": {
+ "display_name": "System Message",
+ "info": "System message to pass to the model.",
+ },
}
def build(
self,
model: str,
input_value: Text,
+ system_message: Optional[str] = None,
anthropic_api_key: Optional[str] = None,
max_tokens: Optional[int] = None,
temperature: Optional[float] = None,
@@ -80,4 +85,4 @@ class AnthropicLLM(LCModelComponent):
except Exception as e:
raise ValueError("Could not connect to Anthropic API.") from e
- return self.get_result(output=output, stream=stream, input_value=input_value)
+ return self.get_chat_result(output, stream, input_value, system_message)
diff --git a/src/backend/langflow/components/models/AzureOpenAIModel.py b/src/backend/base/langflow/components/models/AzureOpenAIModel.py
similarity index 91%
rename from src/backend/langflow/components/models/AzureOpenAIModel.py
rename to src/backend/base/langflow/components/models/AzureOpenAIModel.py
index 5d16cc0c4..eeb488f03 100644
--- a/src/backend/langflow/components/models/AzureOpenAIModel.py
+++ b/src/backend/base/langflow/components/models/AzureOpenAIModel.py
@@ -4,7 +4,7 @@ from langchain.llms.base import BaseLanguageModel
from langchain_openai import AzureChatOpenAI
from pydantic.v1 import SecretStr
-from langflow.components.models.base.model import LCModelComponent
+from langflow.base.models.model import LCModelComponent
from langflow.field_typing import Text
@@ -79,6 +79,10 @@ class AzureChatOpenAIComponent(LCModelComponent):
"display_name": "Stream",
"info": "Stream the response from the model.",
},
+ "system_message": {
+ "display_name": "System Message",
+ "info": "System message to pass to the model.",
+ },
}
def build(
@@ -89,6 +93,7 @@ class AzureChatOpenAIComponent(LCModelComponent):
azure_deployment: str,
api_key: str,
api_version: str,
+ system_message: Optional[str] = None,
temperature: float = 0.7,
max_tokens: Optional[int] = 1000,
stream: bool = False,
@@ -107,4 +112,4 @@ class AzureChatOpenAIComponent(LCModelComponent):
except Exception as e:
raise ValueError("Could not connect to AzureOpenAI API.") from e
- return self.get_result(output=output, stream=stream, input_value=input_value)
+ return self.get_chat_result(output, stream, input_value, system_message)
diff --git a/src/backend/langflow/components/models/BaiduQianfanChatModel.py b/src/backend/base/langflow/components/models/BaiduQianfanChatModel.py
similarity index 91%
rename from src/backend/langflow/components/models/BaiduQianfanChatModel.py
rename to src/backend/base/langflow/components/models/BaiduQianfanChatModel.py
index 76ae69e42..2df7c2b12 100644
--- a/src/backend/langflow/components/models/BaiduQianfanChatModel.py
+++ b/src/backend/base/langflow/components/models/BaiduQianfanChatModel.py
@@ -3,7 +3,7 @@ from typing import Optional
from langchain_community.chat_models.baidu_qianfan_endpoint import QianfanChatEndpoint
from pydantic.v1 import SecretStr
-from langflow.components.models.base.model import LCModelComponent
+from langflow.base.models.model import LCModelComponent
from langflow.field_typing import Text
@@ -74,6 +74,10 @@ class QianfanChatEndpointComponent(LCModelComponent):
"display_name": "Stream",
"info": "Stream the response from the model.",
},
+ "system_message": {
+ "display_name": "System Message",
+ "info": "System message to pass to the model.",
+ },
}
def build(
@@ -87,6 +91,7 @@ class QianfanChatEndpointComponent(LCModelComponent):
penalty_score: Optional[float] = None,
endpoint: Optional[str] = None,
stream: bool = False,
+ system_message: Optional[str] = None,
) -> Text:
try:
output = QianfanChatEndpoint( # type: ignore
@@ -101,4 +106,4 @@ class QianfanChatEndpointComponent(LCModelComponent):
except Exception as e:
raise ValueError("Could not connect to Baidu Qianfan API.") from e
- return self.get_result(output=output, stream=stream, input_value=input_value)
+ return self.get_chat_result(output, stream, input_value, system_message)
diff --git a/src/backend/langflow/components/models/CTransformersModel.py b/src/backend/base/langflow/components/models/CTransformersModel.py
similarity index 85%
rename from src/backend/langflow/components/models/CTransformersModel.py
rename to src/backend/base/langflow/components/models/CTransformersModel.py
index 160f698db..352d3cedb 100644
--- a/src/backend/langflow/components/models/CTransformersModel.py
+++ b/src/backend/base/langflow/components/models/CTransformersModel.py
@@ -2,7 +2,7 @@ from typing import Dict, Optional
from langchain_community.llms.ctransformers import CTransformers
-from langflow.components.models.base.model import LCModelComponent
+from langflow.base.models.model import LCModelComponent
from langflow.field_typing import Text
@@ -33,6 +33,10 @@ class CTransformersComponent(LCModelComponent):
"display_name": "Stream",
"info": "Stream the response from the model.",
},
+ "system_message": {
+ "display_name": "System Message",
+ "info": "System message to pass to the model.",
+ },
}
def build(
@@ -52,4 +56,4 @@ class CTransformersComponent(LCModelComponent):
config=config, # noqa
)
- return self.get_result(output=output, stream=stream, input_value=input_value)
+ return self.get_result(runnable=output, stream=stream, input_value=input_value)
diff --git a/src/backend/langflow/components/models/CohereModel.py b/src/backend/base/langflow/components/models/CohereModel.py
similarity index 80%
rename from src/backend/langflow/components/models/CohereModel.py
rename to src/backend/base/langflow/components/models/CohereModel.py
index 55d22ca16..3a25a3593 100644
--- a/src/backend/langflow/components/models/CohereModel.py
+++ b/src/backend/base/langflow/components/models/CohereModel.py
@@ -1,7 +1,10 @@
+from typing import Optional
+
+
from langchain_community.chat_models.cohere import ChatCohere
from pydantic.v1 import SecretStr
-from langflow.components.models.base.model import LCModelComponent
+from langflow.base.models.model import LCModelComponent
from langflow.field_typing import Text
@@ -36,6 +39,10 @@ class CohereComponent(LCModelComponent):
"display_name": "Stream",
"info": "Stream the response from the model.",
},
+ "system_message": {
+ "display_name": "System Message",
+ "info": "System message to pass to the model.",
+ },
}
def build(
@@ -44,10 +51,11 @@ class CohereComponent(LCModelComponent):
input_value: Text,
temperature: float = 0.75,
stream: bool = False,
+ system_message: Optional[str] = None,
) -> Text:
api_key = SecretStr(cohere_api_key)
output = ChatCohere( # type: ignore
cohere_api_key=api_key,
temperature=temperature,
)
- return self.get_result(output=output, stream=stream, input_value=input_value)
+ return self.get_chat_result(output, stream, input_value, system_message)
diff --git a/src/backend/langflow/components/models/GoogleGenerativeAIModel.py b/src/backend/base/langflow/components/models/GoogleGenerativeAIModel.py
similarity index 89%
rename from src/backend/langflow/components/models/GoogleGenerativeAIModel.py
rename to src/backend/base/langflow/components/models/GoogleGenerativeAIModel.py
index b8c3d3331..663238219 100644
--- a/src/backend/langflow/components/models/GoogleGenerativeAIModel.py
+++ b/src/backend/base/langflow/components/models/GoogleGenerativeAIModel.py
@@ -3,7 +3,7 @@ from typing import Optional
from langchain_google_genai import ChatGoogleGenerativeAI
from pydantic.v1 import SecretStr
-from langflow.components.models.base.model import LCModelComponent
+from langflow.base.models.model import LCModelComponent
from langflow.field_typing import RangeSpec, Text
@@ -56,6 +56,10 @@ class GoogleGenerativeAIComponent(LCModelComponent):
"display_name": "Stream",
"info": "Stream the response from the model.",
},
+ "system_message": {
+ "display_name": "System Message",
+ "info": "System message to pass to the model.",
+ },
}
def build(
@@ -69,6 +73,7 @@ class GoogleGenerativeAIComponent(LCModelComponent):
top_p: Optional[float] = None,
n: Optional[int] = 1,
stream: bool = False,
+ system_message: Optional[str] = None,
) -> Text:
output = ChatGoogleGenerativeAI(
model=model,
@@ -79,4 +84,4 @@ class GoogleGenerativeAIComponent(LCModelComponent):
n=n or 1,
google_api_key=SecretStr(google_api_key),
)
- return self.get_result(output=output, stream=stream, input_value=input_value)
+ return self.get_chat_result(output, stream, input_value, system_message)
diff --git a/src/backend/langflow/components/models/HuggingFaceModel.py b/src/backend/base/langflow/components/models/HuggingFaceModel.py
similarity index 85%
rename from src/backend/langflow/components/models/HuggingFaceModel.py
rename to src/backend/base/langflow/components/models/HuggingFaceModel.py
index c28cc1528..7090fb445 100644
--- a/src/backend/langflow/components/models/HuggingFaceModel.py
+++ b/src/backend/base/langflow/components/models/HuggingFaceModel.py
@@ -3,7 +3,7 @@ from typing import Optional
from langchain_community.chat_models.huggingface import ChatHuggingFace
from langchain_community.llms.huggingface_endpoint import HuggingFaceEndpoint
-from langflow.components.models.base.model import LCModelComponent
+from langflow.base.models.model import LCModelComponent
from langflow.field_typing import Text
@@ -30,6 +30,10 @@ class HuggingFaceEndpointsComponent(LCModelComponent):
"display_name": "Stream",
"info": "Stream the response from the model.",
},
+ "system_message": {
+ "display_name": "System Message",
+ "info": "System message to pass to the model.",
+ },
}
def build(
@@ -41,6 +45,7 @@ class HuggingFaceEndpointsComponent(LCModelComponent):
huggingfacehub_api_token: Optional[str] = None,
model_kwargs: Optional[dict] = None,
stream: bool = False,
+ system_message: Optional[str] = None,
) -> Text:
try:
llm = HuggingFaceEndpoint( # type: ignore
@@ -53,4 +58,4 @@ class HuggingFaceEndpointsComponent(LCModelComponent):
except Exception as e:
raise ValueError("Could not connect to HuggingFace Endpoints API.") from e
output = ChatHuggingFace(llm=llm)
- return self.get_result(output=output, stream=stream, input_value=input_value)
+ return self.get_chat_result(output, stream, input_value, system_message)
diff --git a/src/backend/langflow/components/models/LlamaCppModel.py b/src/backend/base/langflow/components/models/LlamaCppModel.py
similarity index 95%
rename from src/backend/langflow/components/models/LlamaCppModel.py
rename to src/backend/base/langflow/components/models/LlamaCppModel.py
index 48cea7ad0..621089979 100644
--- a/src/backend/langflow/components/models/LlamaCppModel.py
+++ b/src/backend/base/langflow/components/models/LlamaCppModel.py
@@ -2,7 +2,7 @@ from typing import Any, Dict, List, Optional
from langchain_community.llms.llamacpp import LlamaCpp
-from langflow.components.models.base.model import LCModelComponent
+from langflow.base.models.model import LCModelComponent
from langflow.field_typing import Text
@@ -61,6 +61,10 @@ class LlamaCppComponent(LCModelComponent):
"display_name": "Stream",
"info": "Stream the response from the model.",
},
+ "system_message": {
+ "display_name": "System Message",
+ "info": "System message to pass to the model.",
+ },
}
def build(
@@ -141,4 +145,4 @@ class LlamaCppComponent(LCModelComponent):
vocab_only=vocab_only,
)
- return self.get_result(output=output, stream=stream, input_value=input_value)
+ return self.get_result(runnable=output, stream=stream, input_value=input_value)
diff --git a/src/backend/langflow/components/models/OllamaModel.py b/src/backend/base/langflow/components/models/OllamaModel.py
similarity index 96%
rename from src/backend/langflow/components/models/OllamaModel.py
rename to src/backend/base/langflow/components/models/OllamaModel.py
index cfd1e2a2e..14f9c59d3 100644
--- a/src/backend/langflow/components/models/OllamaModel.py
+++ b/src/backend/base/langflow/components/models/OllamaModel.py
@@ -3,7 +3,7 @@ from typing import Any, Dict, List, Optional
# from langchain_community.chat_models import ChatOllama
from langchain_community.chat_models import ChatOllama
-from langflow.components.models.base.model import LCModelComponent
+from langflow.base.models.model import LCModelComponent
# from langchain.chat_models import ChatOllama
from langflow.field_typing import Text
@@ -171,6 +171,10 @@ class ChatOllamaComponent(LCModelComponent):
"display_name": "Stream",
"info": "Stream the response from the model.",
},
+ "system_message": {
+ "display_name": "System Message",
+ "info": "System message to pass to the model.",
+ },
}
def build(
@@ -204,6 +208,7 @@ class ChatOllamaComponent(LCModelComponent):
top_k: Optional[int] = None,
top_p: Optional[int] = None,
stream: bool = False,
+ system_message: Optional[str] = None,
) -> Text:
if not base_url:
base_url = "http://localhost:11434"
@@ -258,4 +263,4 @@ class ChatOllamaComponent(LCModelComponent):
except Exception as e:
raise ValueError("Could not initialize Ollama LLM.") from e
- return self.get_result(output=output, stream=stream, input_value=input_value)
+ return self.get_chat_result(output, stream, input_value, system_message)
diff --git a/src/backend/langflow/components/models/OpenAIModel.py b/src/backend/base/langflow/components/models/OpenAIModel.py
similarity index 87%
rename from src/backend/langflow/components/models/OpenAIModel.py
rename to src/backend/base/langflow/components/models/OpenAIModel.py
index 2a8314fd2..e68e7736e 100644
--- a/src/backend/langflow/components/models/OpenAIModel.py
+++ b/src/backend/base/langflow/components/models/OpenAIModel.py
@@ -1,9 +1,8 @@
from typing import Optional
from langchain_openai import ChatOpenAI
-from pydantic.v1 import SecretStr
-from langflow.components.models.base.model import LCModelComponent
+from langflow.base.models.model import LCModelComponent
from langflow.field_typing import NestedDict, Text
@@ -63,6 +62,10 @@ class OpenAIModelComponent(LCModelComponent):
"display_name": "Stream",
"info": "Stream the response from the model.",
},
+ "system_message": {
+ "display_name": "System Message",
+ "info": "System message to pass to the model.",
+ },
}
def build(
@@ -75,20 +78,17 @@ class OpenAIModelComponent(LCModelComponent):
openai_api_key: Optional[str] = None,
temperature: float = 0.7,
stream: bool = False,
+ system_message: Optional[str] = None,
) -> Text:
if not openai_api_base:
openai_api_base = "https://api.openai.com/v1"
- if openai_api_key:
- secret_key = SecretStr(openai_api_key)
- else:
- secret_key = None
output = ChatOpenAI(
max_tokens=max_tokens,
model_kwargs=model_kwargs,
model=model_name,
base_url=openai_api_base,
- api_key=secret_key,
+ api_key=openai_api_key,
temperature=temperature,
)
- return self.get_result(output=output, stream=stream, input_value=input_value)
+ return self.get_chat_result(output, stream, input_value, system_message)
diff --git a/src/backend/langflow/components/models/VertexAiModel.py b/src/backend/base/langflow/components/models/VertexAiModel.py
similarity index 89%
rename from src/backend/langflow/components/models/VertexAiModel.py
rename to src/backend/base/langflow/components/models/VertexAiModel.py
index 11c49c7b4..e5281da16 100644
--- a/src/backend/langflow/components/models/VertexAiModel.py
+++ b/src/backend/base/langflow/components/models/VertexAiModel.py
@@ -2,7 +2,7 @@ from typing import List, Optional
from langchain_core.messages.base import BaseMessage
-from langflow.components.models.base.model import LCModelComponent
+from langflow.base.models.model import LCModelComponent
from langflow.field_typing import Text
@@ -63,6 +63,10 @@ class ChatVertexAIComponent(LCModelComponent):
"display_name": "Stream",
"info": "Stream the response from the model.",
},
+ "system_message": {
+ "display_name": "System Message",
+ "info": "System message to pass to the model.",
+ },
}
def build(
@@ -79,6 +83,7 @@ class ChatVertexAIComponent(LCModelComponent):
top_p: float = 0.95,
verbose: bool = False,
stream: bool = False,
+ system_message: Optional[str] = None,
) -> Text:
try:
from langchain_google_vertexai import ChatVertexAI # type: ignore
@@ -99,4 +104,4 @@ class ChatVertexAIComponent(LCModelComponent):
verbose=verbose,
)
- return self.get_result(output=output, stream=stream, input_value=input_value)
+ return self.get_chat_result(output, stream, input_value, system_message)
diff --git a/src/backend/langflow/components/models/__init__.py b/src/backend/base/langflow/components/models/__init__.py
similarity index 100%
rename from src/backend/langflow/components/models/__init__.py
rename to src/backend/base/langflow/components/models/__init__.py
diff --git a/src/backend/base/langflow/components/models/base/__init__.py b/src/backend/base/langflow/components/models/base/__init__.py
new file mode 100644
index 000000000..921f10336
--- /dev/null
+++ b/src/backend/base/langflow/components/models/base/__init__.py
@@ -0,0 +1,3 @@
+from .model import LCModelComponent
+
+__all__ = ["LCModelComponent"]
diff --git a/src/backend/langflow/components/outputs/ChatOutput.py b/src/backend/base/langflow/components/outputs/ChatOutput.py
similarity index 100%
rename from src/backend/langflow/components/outputs/ChatOutput.py
rename to src/backend/base/langflow/components/outputs/ChatOutput.py
diff --git a/src/backend/langflow/components/outputs/TextOutput.py b/src/backend/base/langflow/components/outputs/TextOutput.py
similarity index 100%
rename from src/backend/langflow/components/outputs/TextOutput.py
rename to src/backend/base/langflow/components/outputs/TextOutput.py
diff --git a/src/backend/langflow/components/outputs/__init__.py b/src/backend/base/langflow/components/outputs/__init__.py
similarity index 100%
rename from src/backend/langflow/components/outputs/__init__.py
rename to src/backend/base/langflow/components/outputs/__init__.py
diff --git a/src/backend/langflow/components/retrievers/AmazonKendra.py b/src/backend/base/langflow/components/retrievers/AmazonKendra.py
similarity index 96%
rename from src/backend/langflow/components/retrievers/AmazonKendra.py
rename to src/backend/base/langflow/components/retrievers/AmazonKendra.py
index 886afeff5..6584f6545 100644
--- a/src/backend/langflow/components/retrievers/AmazonKendra.py
+++ b/src/backend/base/langflow/components/retrievers/AmazonKendra.py
@@ -3,7 +3,7 @@ from typing import Optional
from langchain.schema import BaseRetriever
from langchain_community.retrievers import AmazonKendraRetriever
-from langflow import CustomComponent
+from langflow.interface.custom.custom_component import CustomComponent
class AmazonKendraRetrieverComponent(CustomComponent):
diff --git a/src/backend/langflow/components/retrievers/MetalRetriever.py b/src/backend/base/langflow/components/retrievers/MetalRetriever.py
similarity index 93%
rename from src/backend/langflow/components/retrievers/MetalRetriever.py
rename to src/backend/base/langflow/components/retrievers/MetalRetriever.py
index 1d37906d1..c5c56a397 100644
--- a/src/backend/langflow/components/retrievers/MetalRetriever.py
+++ b/src/backend/base/langflow/components/retrievers/MetalRetriever.py
@@ -4,7 +4,7 @@ from langchain.schema import BaseRetriever
from langchain_community.retrievers import MetalRetriever
from metal_sdk.metal import Metal # type: ignore
-from langflow import CustomComponent
+from langflow.interface.custom.custom_component import CustomComponent
class MetalRetrieverComponent(CustomComponent):
diff --git a/src/backend/langflow/components/retrievers/MultiQueryRetriever.py b/src/backend/base/langflow/components/retrievers/MultiQueryRetriever.py
similarity index 96%
rename from src/backend/langflow/components/retrievers/MultiQueryRetriever.py
rename to src/backend/base/langflow/components/retrievers/MultiQueryRetriever.py
index d2c12d7a5..0dec1c028 100644
--- a/src/backend/langflow/components/retrievers/MultiQueryRetriever.py
+++ b/src/backend/base/langflow/components/retrievers/MultiQueryRetriever.py
@@ -1,8 +1,9 @@
from typing import Callable, Optional, Union
from langchain.retrievers import MultiQueryRetriever
-from langflow import CustomComponent
+
from langflow.field_typing import BaseLLM, BaseRetriever, PromptTemplate
+from langflow.interface.custom.custom_component import CustomComponent
class MultiQueryRetrieverComponent(CustomComponent):
diff --git a/src/backend/langflow/components/retrievers/VectaraSelfQueryRetriver.py b/src/backend/base/langflow/components/retrievers/VectaraSelfQueryRetriver.py
similarity index 97%
rename from src/backend/langflow/components/retrievers/VectaraSelfQueryRetriver.py
rename to src/backend/base/langflow/components/retrievers/VectaraSelfQueryRetriver.py
index 940ffd237..759021487 100644
--- a/src/backend/langflow/components/retrievers/VectaraSelfQueryRetriver.py
+++ b/src/backend/base/langflow/components/retrievers/VectaraSelfQueryRetriver.py
@@ -1,11 +1,13 @@
-from typing import List
-from langflow import CustomComponent
import json
+from typing import List
+
+from langchain.base_language import BaseLanguageModel
+from langchain.chains.query_constructor.base import AttributeInfo
+from langchain.retrievers.self_query.base import SelfQueryRetriever
from langchain.schema import BaseRetriever
from langchain.schema.vectorstore import VectorStore
-from langchain.base_language import BaseLanguageModel
-from langchain.retrievers.self_query.base import SelfQueryRetriever
-from langchain.chains.query_constructor.base import AttributeInfo
+
+from langflow.interface.custom.custom_component import CustomComponent
class VectaraSelfQueryRetriverComponent(CustomComponent):
diff --git a/src/backend/langflow/components/retrievers/VectorStoreRetriever.py b/src/backend/base/langflow/components/retrievers/VectorStoreRetriever.py
similarity index 87%
rename from src/backend/langflow/components/retrievers/VectorStoreRetriever.py
rename to src/backend/base/langflow/components/retrievers/VectorStoreRetriever.py
index 576b02e69..43f1aab71 100644
--- a/src/backend/langflow/components/retrievers/VectorStoreRetriever.py
+++ b/src/backend/base/langflow/components/retrievers/VectorStoreRetriever.py
@@ -1,7 +1,7 @@
from langchain_core.vectorstores import VectorStoreRetriever
-from langflow import CustomComponent
from langflow.field_typing import VectorStore
+from langflow.interface.custom.custom_component import CustomComponent
class VectoStoreRetrieverComponent(CustomComponent):
diff --git a/src/backend/langflow/components/retrievers/__init__.py b/src/backend/base/langflow/components/retrievers/__init__.py
similarity index 100%
rename from src/backend/langflow/components/retrievers/__init__.py
rename to src/backend/base/langflow/components/retrievers/__init__.py
diff --git a/src/backend/langflow/components/textsplitters/CharacterTextSplitter.py b/src/backend/base/langflow/components/textsplitters/CharacterTextSplitter.py
similarity index 95%
rename from src/backend/langflow/components/textsplitters/CharacterTextSplitter.py
rename to src/backend/base/langflow/components/textsplitters/CharacterTextSplitter.py
index 8fcb1da11..2a0f3686f 100644
--- a/src/backend/langflow/components/textsplitters/CharacterTextSplitter.py
+++ b/src/backend/base/langflow/components/textsplitters/CharacterTextSplitter.py
@@ -2,7 +2,7 @@ from typing import List
from langchain.text_splitter import CharacterTextSplitter
-from langflow import CustomComponent
+from langflow.interface.custom.custom_component import CustomComponent
from langflow.schema.schema import Record
from langflow.utils.util import unescape_string
diff --git a/src/backend/langflow/components/textsplitters/LanguageRecursiveTextSplitter.py b/src/backend/base/langflow/components/textsplitters/LanguageRecursiveTextSplitter.py
similarity index 97%
rename from src/backend/langflow/components/textsplitters/LanguageRecursiveTextSplitter.py
rename to src/backend/base/langflow/components/textsplitters/LanguageRecursiveTextSplitter.py
index 3f521e0ba..1a4ae24a1 100644
--- a/src/backend/langflow/components/textsplitters/LanguageRecursiveTextSplitter.py
+++ b/src/backend/base/langflow/components/textsplitters/LanguageRecursiveTextSplitter.py
@@ -2,7 +2,7 @@ from typing import List, Optional
from langchain.text_splitter import Language
-from langflow import CustomComponent
+from langflow.interface.custom.custom_component import CustomComponent
from langflow.schema.schema import Record
diff --git a/src/backend/langflow/components/textsplitters/RecursiveCharacterTextSplitter.py b/src/backend/base/langflow/components/textsplitters/RecursiveCharacterTextSplitter.py
similarity index 97%
rename from src/backend/langflow/components/textsplitters/RecursiveCharacterTextSplitter.py
rename to src/backend/base/langflow/components/textsplitters/RecursiveCharacterTextSplitter.py
index acbef0f10..1ceaa8bd6 100644
--- a/src/backend/langflow/components/textsplitters/RecursiveCharacterTextSplitter.py
+++ b/src/backend/base/langflow/components/textsplitters/RecursiveCharacterTextSplitter.py
@@ -3,7 +3,7 @@ from typing import Optional
from langchain.text_splitter import RecursiveCharacterTextSplitter
from langchain_core.documents import Document
-from langflow import CustomComponent
+from langflow.interface.custom.custom_component import CustomComponent
from langflow.schema import Record
from langflow.utils.util import build_loader_repr_from_records, unescape_string
diff --git a/src/backend/langflow/components/textsplitters/__init__.py b/src/backend/base/langflow/components/textsplitters/__init__.py
similarity index 100%
rename from src/backend/langflow/components/textsplitters/__init__.py
rename to src/backend/base/langflow/components/textsplitters/__init__.py
diff --git a/src/backend/langflow/components/toolkits/JsonToolkit.py b/src/backend/base/langflow/components/toolkits/JsonToolkit.py
similarity index 87%
rename from src/backend/langflow/components/toolkits/JsonToolkit.py
rename to src/backend/base/langflow/components/toolkits/JsonToolkit.py
index ec9e49621..72fe17cde 100644
--- a/src/backend/langflow/components/toolkits/JsonToolkit.py
+++ b/src/backend/base/langflow/components/toolkits/JsonToolkit.py
@@ -1,6 +1,7 @@
-from langflow import CustomComponent
-from langchain_community.tools.json.tool import JsonSpec
from langchain_community.agent_toolkits.json.toolkit import JsonToolkit
+from langchain_community.tools.json.tool import JsonSpec
+
+from langflow.interface.custom.custom_component import CustomComponent
class JsonToolkitComponent(CustomComponent):
diff --git a/src/backend/langflow/components/toolkits/Metaphor.py b/src/backend/base/langflow/components/toolkits/Metaphor.py
similarity index 96%
rename from src/backend/langflow/components/toolkits/Metaphor.py
rename to src/backend/base/langflow/components/toolkits/Metaphor.py
index 0f9f23334..14962924f 100644
--- a/src/backend/langflow/components/toolkits/Metaphor.py
+++ b/src/backend/base/langflow/components/toolkits/Metaphor.py
@@ -5,7 +5,7 @@ from langchain.agents.agent_toolkits.base import BaseToolkit
from langchain.tools import Tool
from metaphor_python import Metaphor # type: ignore
-from langflow import CustomComponent
+from langflow.interface.custom.custom_component import CustomComponent
class MetaphorToolkit(CustomComponent):
diff --git a/src/backend/langflow/components/toolkits/OpenAPIToolkit.py b/src/backend/base/langflow/components/toolkits/OpenAPIToolkit.py
similarity index 91%
rename from src/backend/langflow/components/toolkits/OpenAPIToolkit.py
rename to src/backend/base/langflow/components/toolkits/OpenAPIToolkit.py
index fc8780454..b29feb291 100644
--- a/src/backend/langflow/components/toolkits/OpenAPIToolkit.py
+++ b/src/backend/base/langflow/components/toolkits/OpenAPIToolkit.py
@@ -1,7 +1,8 @@
from langchain_community.agent_toolkits.openapi.toolkit import BaseToolkit, OpenAPIToolkit
from langchain_community.utilities.requests import TextRequestsWrapper
-from langflow import CustomComponent
+
from langflow.field_typing import AgentExecutor
+from langflow.interface.custom.custom_component import CustomComponent
class OpenAPIToolkitComponent(CustomComponent):
diff --git a/src/backend/langflow/components/toolkits/VectorStoreInfo.py b/src/backend/base/langflow/components/toolkits/VectorStoreInfo.py
similarity index 91%
rename from src/backend/langflow/components/toolkits/VectorStoreInfo.py
rename to src/backend/base/langflow/components/toolkits/VectorStoreInfo.py
index ec2323bfd..1775d816a 100644
--- a/src/backend/langflow/components/toolkits/VectorStoreInfo.py
+++ b/src/backend/base/langflow/components/toolkits/VectorStoreInfo.py
@@ -3,7 +3,7 @@ from typing import Callable, Union
from langchain.agents.agent_toolkits.vectorstore.toolkit import VectorStoreInfo
from langchain_community.vectorstores import VectorStore
-from langflow import CustomComponent
+from langflow.interface.custom.custom_component import CustomComponent
class VectorStoreInfoComponent(CustomComponent):
diff --git a/src/backend/langflow/components/toolkits/VectorStoreRouterToolkit.py b/src/backend/base/langflow/components/toolkits/VectorStoreRouterToolkit.py
similarity index 84%
rename from src/backend/langflow/components/toolkits/VectorStoreRouterToolkit.py
rename to src/backend/base/langflow/components/toolkits/VectorStoreRouterToolkit.py
index ed8797044..13ec1656f 100644
--- a/src/backend/langflow/components/toolkits/VectorStoreRouterToolkit.py
+++ b/src/backend/base/langflow/components/toolkits/VectorStoreRouterToolkit.py
@@ -1,8 +1,9 @@
-from langflow import CustomComponent
from typing import List, Union
-from langchain.agents.agent_toolkits.vectorstore.toolkit import VectorStoreRouterToolkit
-from langchain.agents.agent_toolkits.vectorstore.toolkit import VectorStoreInfo
+
+from langchain.agents.agent_toolkits.vectorstore.toolkit import VectorStoreInfo, VectorStoreRouterToolkit
+
from langflow.field_typing import BaseLanguageModel, Tool
+from langflow.interface.custom.custom_component import CustomComponent
class VectorStoreRouterToolkitComponent(CustomComponent):
diff --git a/src/backend/langflow/components/toolkits/VectorStoreToolkit.py b/src/backend/base/langflow/components/toolkits/VectorStoreToolkit.py
similarity index 72%
rename from src/backend/langflow/components/toolkits/VectorStoreToolkit.py
rename to src/backend/base/langflow/components/toolkits/VectorStoreToolkit.py
index 38b9c9171..8436ba58e 100644
--- a/src/backend/langflow/components/toolkits/VectorStoreToolkit.py
+++ b/src/backend/base/langflow/components/toolkits/VectorStoreToolkit.py
@@ -1,14 +1,10 @@
-from langflow import CustomComponent
-from langchain.agents.agent_toolkits.vectorstore.toolkit import VectorStoreToolkit
-from langchain.agents.agent_toolkits.vectorstore.toolkit import VectorStoreInfo
-from langflow.field_typing import (
- BaseLanguageModel,
-)
-from langflow.field_typing import (
- Tool,
-)
from typing import Union
+from langchain.agents.agent_toolkits.vectorstore.toolkit import VectorStoreInfo, VectorStoreToolkit
+
+from langflow.field_typing import BaseLanguageModel, Tool
+from langflow.interface.custom.custom_component import CustomComponent
+
class VectorStoreToolkitComponent(CustomComponent):
display_name = "VectorStoreToolkit"
diff --git a/src/backend/langflow/components/toolkits/__init__.py b/src/backend/base/langflow/components/toolkits/__init__.py
similarity index 100%
rename from src/backend/langflow/components/toolkits/__init__.py
rename to src/backend/base/langflow/components/toolkits/__init__.py
diff --git a/src/backend/langflow/components/tools/RetrieverTool.py b/src/backend/base/langflow/components/tools/RetrieverTool.py
similarity index 92%
rename from src/backend/langflow/components/tools/RetrieverTool.py
rename to src/backend/base/langflow/components/tools/RetrieverTool.py
index 5a598dbe2..914ba3941 100644
--- a/src/backend/langflow/components/tools/RetrieverTool.py
+++ b/src/backend/base/langflow/components/tools/RetrieverTool.py
@@ -1,7 +1,7 @@
from langchain.tools.retriever import create_retriever_tool
-from langflow import CustomComponent
from langflow.field_typing import BaseRetriever, Tool
+from langflow.interface.custom.custom_component import CustomComponent
class RetrieverToolComponent(CustomComponent):
diff --git a/src/backend/base/langflow/components/tools/SearchAPITool.py b/src/backend/base/langflow/components/tools/SearchAPITool.py
new file mode 100644
index 000000000..6ec2f693c
--- /dev/null
+++ b/src/backend/base/langflow/components/tools/SearchAPITool.py
@@ -0,0 +1,37 @@
+from langchain_community.tools.searchapi import SearchAPIRun
+from langchain_community.utilities.searchapi import SearchApiAPIWrapper
+
+from langflow.custom import CustomComponent
+from langflow.field_typing import Tool
+
+
+class SearchApiToolComponent(CustomComponent):
+ display_name: str = "SearchApi Tool"
+ description: str = "Real-time search engine results API."
+ documentation: str = "https://www.searchapi.io/docs/google"
+ field_config = {
+ "engine": {
+ "display_name": "Engine",
+ "field_type": "str",
+ "info": "The search engine to use.",
+ },
+ "api_key": {
+ "display_name": "API Key",
+ "field_type": "str",
+ "required": True,
+ "password": True,
+ "info": "The API key to use SearchApi.",
+ },
+ }
+
+ def build(
+ self,
+ engine: str,
+ api_key: str,
+ ) -> Tool:
+ search_api_wrapper = SearchApiAPIWrapper(engine=engine, searchapi_api_key=api_key)
+
+ tool = SearchAPIRun(api_wrapper=search_api_wrapper)
+
+ self.status = tool
+ return tool
diff --git a/src/backend/base/langflow/components/tools/SearchApi.py b/src/backend/base/langflow/components/tools/SearchApi.py
new file mode 100644
index 000000000..3dcd48d9f
--- /dev/null
+++ b/src/backend/base/langflow/components/tools/SearchApi.py
@@ -0,0 +1,53 @@
+from typing import Optional
+
+from langchain_community.utilities.searchapi import SearchApiAPIWrapper
+
+from langflow.custom import CustomComponent
+from langflow.schema.schema import Record
+from langflow.services.database.models.base import orjson_dumps
+
+
+class SearchApi(CustomComponent):
+ display_name: str = "SearchApi"
+ description: str = "Real-time search engine results API."
+ output_types: list[str] = ["Document"]
+ documentation: str = "https://www.searchapi.io/docs/google"
+ field_config = {
+ "engine": {
+ "display_name": "Engine",
+ "field_type": "str",
+ "info": "The search engine to use.",
+ },
+ "params": {
+ "display_name": "Parameters",
+ "info": "The parameters to send with the request.",
+ },
+ "code": {"show": False},
+ "api_key": {
+ "display_name": "API Key",
+ "field_type": "str",
+ "required": True,
+ "password": True,
+ "info": "The API key to use SearchApi.",
+ },
+ }
+
+ def build(
+ self,
+ engine: str,
+ api_key: str,
+ params: Optional[dict] = None,
+ ) -> Record:
+ if params is None:
+ params = {}
+
+ search_api_wrapper = SearchApiAPIWrapper(engine=engine, searchapi_api_key=api_key)
+
+ q = params.pop("q", "SearchApi Langflow")
+ results = search_api_wrapper.results(q, **params)
+
+ result = orjson_dumps(results, indent_2=False)
+
+ record = Record(data=result)
+ self.status = record
+ return record
diff --git a/src/backend/langflow/services/auth/__init__.py b/src/backend/base/langflow/components/tools/__init__.py
similarity index 100%
rename from src/backend/langflow/services/auth/__init__.py
rename to src/backend/base/langflow/components/tools/__init__.py
diff --git a/src/backend/base/langflow/components/vectorstores/AstraDB.py b/src/backend/base/langflow/components/vectorstores/AstraDB.py
new file mode 100644
index 000000000..9ab73808e
--- /dev/null
+++ b/src/backend/base/langflow/components/vectorstores/AstraDB.py
@@ -0,0 +1,126 @@
+from typing import List, Optional
+
+from langchain_astradb import AstraDBVectorStore
+
+from langflow.custom import CustomComponent
+from langflow.field_typing import Embeddings, VectorStore
+from langflow.schema import Record
+
+
+class AstraDBVectorStoreComponent(CustomComponent):
+ display_name = "AstraDB Vector Store"
+ description = "Builds or loads an AstraDB Vector Store"
+
+ def build_config(self):
+ return {
+ "inputs": {"display_name": "Inputs", "info": "Inputs to AstraDB"},
+ "embedding": {"display_name": "Embedding", "info": "Embedding to use"},
+ "collection_name": {"display_name": "Collection Name", "info": "Collection name"},
+ "token": {"display_name": "Token", "info": "Token to use", "password": True},
+ "api_endpoint": {"display_name": "API Endpoint", "info": "API Endpoint to use"},
+ "namespace": {"display_name": "Namespace", "info": "Namespace to use", "advanced": True},
+ "metric": {"display_name": "Metric", "info": "Metric to use", "advanced": True},
+ "batch_size": {"display_name": "Batch Size", "info": "Batch size to use", "advanced": True},
+ "bulk_insert_batch_concurrency": {
+ "display_name": "Bulk Insert Batch Concurrency",
+ "info": "Bulk Insert Batch Concurrency to use",
+ "advanced": True,
+ },
+ "bulk_insert_overwrite_concurrency": {
+ "display_name": "Bulk Insert Overwrite Concurrency",
+ "info": "Bulk Insert Overwrite Concurrency to use",
+ "advanced": True,
+ },
+ "bulk_delete_concurrency": {
+ "display_name": "Bulk Delete Concurrency",
+ "info": "Bulk Delete Concurrency to use",
+ "advanced": True,
+ },
+ "setup_mode": {
+ "display_name": "Setup Mode",
+ "info": "Setup mode for the vector store",
+ "options": ["Sync", "Async", "Off"],
+ "advanced": True,
+ },
+ "pre_delete_collection": {
+ "display_name": "Pre Delete Collection",
+ "info": "Pre delete collection",
+ "advanced": True,
+ },
+ "metadata_indexing_include": {
+ "display_name": "Metadata Indexing Include",
+ "info": "Metadata Indexing Include",
+ "advanced": True,
+ },
+ "metadata_indexing_exclude": {
+ "display_name": "Metadata Indexing Exclude",
+ "info": "Metadata Indexing Exclude",
+ "advanced": True,
+ },
+ "collection_indexing_policy": {
+ "display_name": "Collection Indexing Policy",
+ "info": "Collection Indexing Policy",
+ "advanced": True,
+ },
+ }
+
+ def build(
+ self,
+ embedding: Embeddings,
+ collection_name: str,
+ inputs: Optional[List[Record]] = None,
+ token: Optional[str] = None,
+ api_endpoint: Optional[str] = None,
+ namespace: Optional[str] = None,
+ metric: Optional[str] = None,
+ batch_size: Optional[int] = None,
+ bulk_insert_batch_concurrency: Optional[int] = None,
+ bulk_insert_overwrite_concurrency: Optional[int] = None,
+ bulk_delete_concurrency: Optional[int] = None,
+ setup_mode: str = "Sync",
+ pre_delete_collection: bool = False,
+ metadata_indexing_include: Optional[List[str]] = None,
+ metadata_indexing_exclude: Optional[List[str]] = None,
+ collection_indexing_policy: Optional[dict] = None,
+ ) -> VectorStore:
+ if inputs:
+ documents = [_input.to_lc_document() for _input in inputs]
+
+ vector_store = AstraDBVectorStore.from_documents(
+ documents=documents,
+ embedding=embedding,
+ collection_name=collection_name,
+ token=token,
+ api_endpoint=api_endpoint,
+ namespace=namespace,
+ metric=metric,
+ batch_size=batch_size,
+ bulk_insert_batch_concurrency=bulk_insert_batch_concurrency,
+ bulk_insert_overwrite_concurrency=bulk_insert_overwrite_concurrency,
+ bulk_delete_concurrency=bulk_delete_concurrency,
+ setup_mode=setup_mode,
+ pre_delete_collection=pre_delete_collection,
+ metadata_indexing_include=metadata_indexing_include,
+ metadata_indexing_exclude=metadata_indexing_exclude,
+ collection_indexing_policy=collection_indexing_policy,
+ )
+ else:
+ vector_store = AstraDBVectorStore(
+ embedding=embedding,
+ collection_name=collection_name,
+ token=token,
+ api_endpoint=api_endpoint,
+ namespace=namespace,
+ metric=metric,
+ batch_size=batch_size,
+ bulk_insert_batch_concurrency=bulk_insert_batch_concurrency,
+ bulk_insert_overwrite_concurrency=bulk_insert_overwrite_concurrency,
+ bulk_delete_concurrency=bulk_delete_concurrency,
+ setup_mode=setup_mode,
+ pre_delete_collection=pre_delete_collection,
+ metadata_indexing_include=metadata_indexing_include,
+ metadata_indexing_exclude=metadata_indexing_exclude,
+ collection_indexing_policy=collection_indexing_policy,
+ )
+
+ return vector_store
diff --git a/src/backend/base/langflow/components/vectorstores/AstraDBSearch.py b/src/backend/base/langflow/components/vectorstores/AstraDBSearch.py
new file mode 100644
index 000000000..8432f01f1
--- /dev/null
+++ b/src/backend/base/langflow/components/vectorstores/AstraDBSearch.py
@@ -0,0 +1,110 @@
+from typing import List, Optional
+
+from langflow.components.vectorstores.AstraDB import AstraDBVectorStoreComponent
+from langflow.components.vectorstores.base.model import LCVectorStoreComponent
+from langflow.field_typing import Embeddings, Text
+from langflow.schema import Record
+
+
+class AstraDBSearchComponent(AstraDBVectorStoreComponent, LCVectorStoreComponent):
+ display_name = "AstraDB Search"
+ description = "Searches an existing AstraDB Vector Store"
+
+ def build_config(self):
+ return {
+ "search_type": {
+ "display_name": "Search Type",
+ "options": ["Similarity", "MMR"],
+ },
+ "input_value": {
+ "display_name": "Input Value",
+ "info": "Input value to search",
+ },
+ "embedding": {"display_name": "Embedding", "info": "Embedding to use"},
+ "collection_name": {"display_name": "Collection Name", "info": "Collection name"},
+ "token": {"display_name": "Token", "info": "Token to use", "password": True},
+ "api_endpoint": {"display_name": "API Endpoint", "info": "API Endpoint to use"},
+ "namespace": {"display_name": "Namespace", "info": "Namespace to use", "advanced": True},
+ "metric": {"display_name": "Metric", "info": "Metric to use", "advanced": True},
+ "batch_size": {"display_name": "Batch Size", "info": "Batch size to use", "advanced": True},
+ "bulk_insert_batch_concurrency": {
+ "display_name": "Bulk Insert Batch Concurrency",
+ "info": "Bulk Insert Batch Concurrency to use",
+ "advanced": True,
+ },
+ "bulk_insert_overwrite_concurrency": {
+ "display_name": "Bulk Insert Overwrite Concurrency",
+ "info": "Bulk Insert Overwrite Concurrency to use",
+ "advanced": True,
+ },
+ "bulk_delete_concurrency": {
+ "display_name": "Bulk Delete Concurrency",
+ "info": "Bulk Delete Concurrency to use",
+ "advanced": True,
+ },
+ "setup_mode": {
+ "display_name": "Setup Mode",
+ "info": "Setup mode for the vector store",
+ "options": ["Sync", "Async", "Off"],
+ "advanced": True,
+ },
+ "pre_delete_collection": {
+ "display_name": "Pre Delete Collection",
+ "info": "Pre delete collection",
+ "advanced": True,
+ },
+ "metadata_indexing_include": {
+ "display_name": "Metadata Indexing Include",
+ "info": "Metadata Indexing Include",
+ "advanced": True,
+ },
+ "metadata_indexing_exclude": {
+ "display_name": "Metadata Indexing Exclude",
+ "info": "Metadata Indexing Exclude",
+ "advanced": True,
+ },
+ "collection_indexing_policy": {
+ "display_name": "Collection Indexing Policy",
+ "info": "Collection Indexing Policy",
+ "advanced": True,
+ },
+ }
+
+ def build(
+ self,
+ embedding: Embeddings,
+ collection_name: str,
+ input_value: Optional[Text] = None,
+ search_type: str = "Similarity",
+ token: Optional[str] = None,
+ api_endpoint: Optional[str] = None,
+ namespace: Optional[str] = None,
+ metric: Optional[str] = None,
+ batch_size: Optional[int] = None,
+ bulk_insert_batch_concurrency: Optional[int] = None,
+ bulk_insert_overwrite_concurrency: Optional[int] = None,
+ bulk_delete_concurrency: Optional[int] = None,
+ setup_mode: str = "Sync",
+ pre_delete_collection: bool = False,
+ metadata_indexing_include: Optional[List[str]] = None,
+ metadata_indexing_exclude: Optional[List[str]] = None,
+ collection_indexing_policy: Optional[dict] = None,
+ ) -> List[Record]:
+ vector_store = super().build(
+ embedding=embedding,
+ collection_name=collection_name,
+ token=token,
+ api_endpoint=api_endpoint,
+ namespace=namespace,
+ metric=metric,
+ batch_size=batch_size,
+ bulk_insert_batch_concurrency=bulk_insert_batch_concurrency,
+ bulk_insert_overwrite_concurrency=bulk_insert_overwrite_concurrency,
+ bulk_delete_concurrency=bulk_delete_concurrency,
+ setup_mode=setup_mode,
+ pre_delete_collection=pre_delete_collection,
+ metadata_indexing_include=metadata_indexing_include,
+ metadata_indexing_exclude=metadata_indexing_exclude,
+ collection_indexing_policy=collection_indexing_policy,
+ )
+ return self.search_with_vector_store(input_value, search_type, vector_store)
diff --git a/src/backend/langflow/components/vectorstores/Chroma.py b/src/backend/base/langflow/components/vectorstores/Chroma.py
similarity index 98%
rename from src/backend/langflow/components/vectorstores/Chroma.py
rename to src/backend/base/langflow/components/vectorstores/Chroma.py
index 0b8fbcb3a..8fe2f54a9 100644
--- a/src/backend/langflow/components/vectorstores/Chroma.py
+++ b/src/backend/base/langflow/components/vectorstores/Chroma.py
@@ -6,7 +6,7 @@ from langchain.schema import BaseRetriever
from langchain_community.vectorstores import VectorStore
from langchain_community.vectorstores.chroma import Chroma
-from langflow import CustomComponent
+from langflow.interface.custom.custom_component import CustomComponent
from langflow.schema.schema import Record
diff --git a/src/backend/langflow/components/vectorstores/ChromaSearch.py b/src/backend/base/langflow/components/vectorstores/ChromaSearch.py
similarity index 100%
rename from src/backend/langflow/components/vectorstores/ChromaSearch.py
rename to src/backend/base/langflow/components/vectorstores/ChromaSearch.py
diff --git a/src/backend/langflow/components/vectorstores/FAISS.py b/src/backend/base/langflow/components/vectorstores/FAISS.py
similarity index 96%
rename from src/backend/langflow/components/vectorstores/FAISS.py
rename to src/backend/base/langflow/components/vectorstores/FAISS.py
index dbdcbed9d..ea9ee1c4d 100644
--- a/src/backend/langflow/components/vectorstores/FAISS.py
+++ b/src/backend/base/langflow/components/vectorstores/FAISS.py
@@ -4,8 +4,8 @@ from langchain.schema import BaseRetriever
from langchain_community.vectorstores import VectorStore
from langchain_community.vectorstores.faiss import FAISS
-from langflow import CustomComponent
from langflow.field_typing import Embeddings
+from langflow.interface.custom.custom_component import CustomComponent
from langflow.schema.schema import Record
diff --git a/src/backend/langflow/components/vectorstores/FAISSSearch.py b/src/backend/base/langflow/components/vectorstores/FAISSSearch.py
similarity index 100%
rename from src/backend/langflow/components/vectorstores/FAISSSearch.py
rename to src/backend/base/langflow/components/vectorstores/FAISSSearch.py
diff --git a/src/backend/langflow/components/vectorstores/MongoDBAtlasVector.py b/src/backend/base/langflow/components/vectorstores/MongoDBAtlasVector.py
similarity index 97%
rename from src/backend/langflow/components/vectorstores/MongoDBAtlasVector.py
rename to src/backend/base/langflow/components/vectorstores/MongoDBAtlasVector.py
index eee2cd8db..5a12488e4 100644
--- a/src/backend/langflow/components/vectorstores/MongoDBAtlasVector.py
+++ b/src/backend/base/langflow/components/vectorstores/MongoDBAtlasVector.py
@@ -1,9 +1,8 @@
from typing import List, Optional
from langchain_community.vectorstores.mongodb_atlas import MongoDBAtlasVectorSearch
-
-from langflow import CustomComponent
from langflow.field_typing import Embeddings, NestedDict
+from langflow.interface.custom.custom_component import CustomComponent
from langflow.schema.schema import Record
diff --git a/src/backend/langflow/components/vectorstores/MongoDBAtlasVectorSearch.py b/src/backend/base/langflow/components/vectorstores/MongoDBAtlasVectorSearch.py
similarity index 100%
rename from src/backend/langflow/components/vectorstores/MongoDBAtlasVectorSearch.py
rename to src/backend/base/langflow/components/vectorstores/MongoDBAtlasVectorSearch.py
diff --git a/src/backend/langflow/components/vectorstores/Pinecone.py b/src/backend/base/langflow/components/vectorstores/Pinecone.py
similarity index 97%
rename from src/backend/langflow/components/vectorstores/Pinecone.py
rename to src/backend/base/langflow/components/vectorstores/Pinecone.py
index b6c022e80..e4d6de3aa 100644
--- a/src/backend/langflow/components/vectorstores/Pinecone.py
+++ b/src/backend/base/langflow/components/vectorstores/Pinecone.py
@@ -6,8 +6,8 @@ from langchain.schema import BaseRetriever
from langchain_community.vectorstores import VectorStore
from langchain_community.vectorstores.pinecone import Pinecone
-from langflow import CustomComponent
from langflow.field_typing import Embeddings
+from langflow.interface.custom.custom_component import CustomComponent
from langflow.schema.schema import Record
diff --git a/src/backend/langflow/components/vectorstores/PineconeSearch.py b/src/backend/base/langflow/components/vectorstores/PineconeSearch.py
similarity index 100%
rename from src/backend/langflow/components/vectorstores/PineconeSearch.py
rename to src/backend/base/langflow/components/vectorstores/PineconeSearch.py
diff --git a/src/backend/langflow/components/vectorstores/Qdrant.py b/src/backend/base/langflow/components/vectorstores/Qdrant.py
similarity index 98%
rename from src/backend/langflow/components/vectorstores/Qdrant.py
rename to src/backend/base/langflow/components/vectorstores/Qdrant.py
index 9670ab984..61f8e14af 100644
--- a/src/backend/langflow/components/vectorstores/Qdrant.py
+++ b/src/backend/base/langflow/components/vectorstores/Qdrant.py
@@ -4,8 +4,8 @@ from langchain.schema import BaseRetriever
from langchain_community.vectorstores import VectorStore
from langchain_community.vectorstores.qdrant import Qdrant
-from langflow import CustomComponent
from langflow.field_typing import Embeddings, NestedDict
+from langflow.interface.custom.custom_component import CustomComponent
from langflow.schema.schema import Record
diff --git a/src/backend/langflow/components/vectorstores/QdrantSearch.py b/src/backend/base/langflow/components/vectorstores/QdrantSearch.py
similarity index 100%
rename from src/backend/langflow/components/vectorstores/QdrantSearch.py
rename to src/backend/base/langflow/components/vectorstores/QdrantSearch.py
diff --git a/src/backend/langflow/components/vectorstores/Redis.py b/src/backend/base/langflow/components/vectorstores/Redis.py
similarity index 97%
rename from src/backend/langflow/components/vectorstores/Redis.py
rename to src/backend/base/langflow/components/vectorstores/Redis.py
index 4dff685a7..ea1046037 100644
--- a/src/backend/langflow/components/vectorstores/Redis.py
+++ b/src/backend/base/langflow/components/vectorstores/Redis.py
@@ -5,7 +5,7 @@ from langchain_community.vectorstores import VectorStore
from langchain_community.vectorstores.redis import Redis
from langchain_core.retrievers import BaseRetriever
-from langflow import CustomComponent
+from langflow.interface.custom.custom_component import CustomComponent
from langflow.schema.schema import Record
diff --git a/src/backend/langflow/components/vectorstores/RedisSearch.py b/src/backend/base/langflow/components/vectorstores/RedisSearch.py
similarity index 100%
rename from src/backend/langflow/components/vectorstores/RedisSearch.py
rename to src/backend/base/langflow/components/vectorstores/RedisSearch.py
diff --git a/src/backend/langflow/components/vectorstores/SupabaseVectorStore.py b/src/backend/base/langflow/components/vectorstores/SupabaseVectorStore.py
similarity index 96%
rename from src/backend/langflow/components/vectorstores/SupabaseVectorStore.py
rename to src/backend/base/langflow/components/vectorstores/SupabaseVectorStore.py
index 29b872895..876742117 100644
--- a/src/backend/langflow/components/vectorstores/SupabaseVectorStore.py
+++ b/src/backend/base/langflow/components/vectorstores/SupabaseVectorStore.py
@@ -5,8 +5,8 @@ from langchain_community.vectorstores import VectorStore
from langchain_community.vectorstores.supabase import SupabaseVectorStore
from supabase.client import Client, create_client
-from langflow import CustomComponent
from langflow.field_typing import Embeddings, NestedDict
+from langflow.interface.custom.custom_component import CustomComponent
from langflow.schema.schema import Record
diff --git a/src/backend/langflow/components/vectorstores/SupabaseVectorStoreSearch.py b/src/backend/base/langflow/components/vectorstores/SupabaseVectorStoreSearch.py
similarity index 100%
rename from src/backend/langflow/components/vectorstores/SupabaseVectorStoreSearch.py
rename to src/backend/base/langflow/components/vectorstores/SupabaseVectorStoreSearch.py
diff --git a/src/backend/langflow/components/vectorstores/Vectara.py b/src/backend/base/langflow/components/vectorstores/Vectara.py
similarity index 97%
rename from src/backend/langflow/components/vectorstores/Vectara.py
rename to src/backend/base/langflow/components/vectorstores/Vectara.py
index 55171a6c1..5c087875f 100644
--- a/src/backend/langflow/components/vectorstores/Vectara.py
+++ b/src/backend/base/langflow/components/vectorstores/Vectara.py
@@ -7,8 +7,8 @@ from langchain_community.embeddings import FakeEmbeddings
from langchain_community.vectorstores.vectara import Vectara
from langchain_core.vectorstores import VectorStore
-from langflow import CustomComponent
from langflow.field_typing import BaseRetriever
+from langflow.interface.custom.custom_component import CustomComponent
from langflow.schema.schema import Record
diff --git a/src/backend/langflow/components/vectorstores/VectaraSearch.py b/src/backend/base/langflow/components/vectorstores/VectaraSearch.py
similarity index 100%
rename from src/backend/langflow/components/vectorstores/VectaraSearch.py
rename to src/backend/base/langflow/components/vectorstores/VectaraSearch.py
diff --git a/src/backend/langflow/components/vectorstores/Weaviate.py b/src/backend/base/langflow/components/vectorstores/Weaviate.py
similarity index 97%
rename from src/backend/langflow/components/vectorstores/Weaviate.py
rename to src/backend/base/langflow/components/vectorstores/Weaviate.py
index 64037676c..3362a3fca 100644
--- a/src/backend/langflow/components/vectorstores/Weaviate.py
+++ b/src/backend/base/langflow/components/vectorstores/Weaviate.py
@@ -5,7 +5,7 @@ from langchain.embeddings.base import Embeddings
from langchain.schema import BaseRetriever
from langchain_community.vectorstores import VectorStore, Weaviate
-from langflow import CustomComponent
+from langflow.interface.custom.custom_component import CustomComponent
from langflow.schema.schema import Record
diff --git a/src/backend/langflow/components/vectorstores/WeaviateSearch.py b/src/backend/base/langflow/components/vectorstores/WeaviateSearch.py
similarity index 100%
rename from src/backend/langflow/components/vectorstores/WeaviateSearch.py
rename to src/backend/base/langflow/components/vectorstores/WeaviateSearch.py
diff --git a/src/backend/langflow/components/vectorstores/__init__.py b/src/backend/base/langflow/components/vectorstores/__init__.py
similarity index 100%
rename from src/backend/langflow/components/vectorstores/__init__.py
rename to src/backend/base/langflow/components/vectorstores/__init__.py
diff --git a/src/backend/langflow/components/vectorstores/base/__init__.py b/src/backend/base/langflow/components/vectorstores/base/__init__.py
similarity index 100%
rename from src/backend/langflow/components/vectorstores/base/__init__.py
rename to src/backend/base/langflow/components/vectorstores/base/__init__.py
diff --git a/src/backend/langflow/components/vectorstores/base/model.py b/src/backend/base/langflow/components/vectorstores/base/model.py
similarity index 89%
rename from src/backend/langflow/components/vectorstores/base/model.py
rename to src/backend/base/langflow/components/vectorstores/base/model.py
index a5f839c47..eef99ef21 100644
--- a/src/backend/langflow/components/vectorstores/base/model.py
+++ b/src/backend/base/langflow/components/vectorstores/base/model.py
@@ -4,9 +4,9 @@ from langchain_core.documents import Document
from langchain_core.retrievers import BaseRetriever
from langchain_core.vectorstores import VectorStore
-from langflow import CustomComponent
from langflow.field_typing import Text
from langflow.helpers.record import docs_to_records
+from langflow.interface.custom.custom_component import CustomComponent
from langflow.schema import Record
@@ -40,4 +40,6 @@ class LCVectorStoreComponent(CustomComponent):
docs = vector_store.search(query=input_value, search_type=search_type.lower())
else:
raise ValueError("Invalid inputs provided.")
- return docs_to_records(docs)
+ records = docs_to_records(docs)
+ self.status = records
+ return records
diff --git a/src/backend/langflow/components/vectorstores/pgvector.py b/src/backend/base/langflow/components/vectorstores/pgvector.py
similarity index 97%
rename from src/backend/langflow/components/vectorstores/pgvector.py
rename to src/backend/base/langflow/components/vectorstores/pgvector.py
index 1a3fb6f21..b061b22ac 100644
--- a/src/backend/langflow/components/vectorstores/pgvector.py
+++ b/src/backend/base/langflow/components/vectorstores/pgvector.py
@@ -5,7 +5,7 @@ from langchain_community.vectorstores import VectorStore
from langchain_community.vectorstores.pgvector import PGVector
from langchain_core.retrievers import BaseRetriever
-from langflow import CustomComponent
+from langflow.interface.custom.custom_component import CustomComponent
from langflow.schema.schema import Record
diff --git a/src/backend/langflow/components/vectorstores/pgvectorSearch.py b/src/backend/base/langflow/components/vectorstores/pgvectorSearch.py
similarity index 100%
rename from src/backend/langflow/components/vectorstores/pgvectorSearch.py
rename to src/backend/base/langflow/components/vectorstores/pgvectorSearch.py
diff --git a/src/backend/langflow/config.yaml b/src/backend/base/langflow/config.yaml
similarity index 100%
rename from src/backend/langflow/config.yaml
rename to src/backend/base/langflow/config.yaml
diff --git a/src/backend/langflow/services/chat/__init__.py b/src/backend/base/langflow/core/__init__.py
similarity index 100%
rename from src/backend/langflow/services/chat/__init__.py
rename to src/backend/base/langflow/core/__init__.py
diff --git a/src/backend/langflow/core/celery_app.py b/src/backend/base/langflow/core/celery_app.py
similarity index 100%
rename from src/backend/langflow/core/celery_app.py
rename to src/backend/base/langflow/core/celery_app.py
diff --git a/src/backend/langflow/core/celeryconfig.py b/src/backend/base/langflow/core/celeryconfig.py
similarity index 100%
rename from src/backend/langflow/core/celeryconfig.py
rename to src/backend/base/langflow/core/celeryconfig.py
diff --git a/src/backend/base/langflow/custom.py b/src/backend/base/langflow/custom.py
new file mode 100644
index 000000000..ebe4c04e8
--- /dev/null
+++ b/src/backend/base/langflow/custom.py
@@ -0,0 +1 @@
+from langflow.interface.custom.custom_component import CustomComponent # noqa: F401
diff --git a/src/backend/langflow/field_typing/__init__.py b/src/backend/base/langflow/field_typing/__init__.py
similarity index 100%
rename from src/backend/langflow/field_typing/__init__.py
rename to src/backend/base/langflow/field_typing/__init__.py
diff --git a/src/backend/langflow/field_typing/constants.py b/src/backend/base/langflow/field_typing/constants.py
similarity index 100%
rename from src/backend/langflow/field_typing/constants.py
rename to src/backend/base/langflow/field_typing/constants.py
diff --git a/src/backend/langflow/field_typing/range_spec.py b/src/backend/base/langflow/field_typing/range_spec.py
similarity index 100%
rename from src/backend/langflow/field_typing/range_spec.py
rename to src/backend/base/langflow/field_typing/range_spec.py
diff --git a/src/backend/langflow/graph/__init__.py b/src/backend/base/langflow/graph/__init__.py
similarity index 100%
rename from src/backend/langflow/graph/__init__.py
rename to src/backend/base/langflow/graph/__init__.py
index 04db8e5a1..e80dcaa5f 100644
--- a/src/backend/langflow/graph/__init__.py
+++ b/src/backend/base/langflow/graph/__init__.py
@@ -4,18 +4,18 @@ from langflow.graph.vertex.base import Vertex
from langflow.graph.vertex.types import (
AgentVertex,
ChainVertex,
+ CustomComponentVertex,
DocumentLoaderVertex,
EmbeddingVertex,
LLMVertex,
MemoryVertex,
PromptVertex,
+ RetrieverVertex,
TextSplitterVertex,
- ToolVertex,
ToolkitVertex,
+ ToolVertex,
VectorStoreVertex,
WrapperVertex,
- RetrieverVertex,
- CustomComponentVertex,
)
__all__ = [
diff --git a/src/backend/langflow/services/credentials/__init__.py b/src/backend/base/langflow/graph/edge/__init__.py
similarity index 100%
rename from src/backend/langflow/services/credentials/__init__.py
rename to src/backend/base/langflow/graph/edge/__init__.py
diff --git a/src/backend/langflow/graph/edge/base.py b/src/backend/base/langflow/graph/edge/base.py
similarity index 99%
rename from src/backend/langflow/graph/edge/base.py
rename to src/backend/base/langflow/graph/edge/base.py
index e6583cc07..7ce3aeb69 100644
--- a/src/backend/langflow/graph/edge/base.py
+++ b/src/backend/base/langflow/graph/edge/base.py
@@ -4,7 +4,7 @@ from loguru import logger
from pydantic import BaseModel, Field
from langflow.graph.edge.utils import build_clean_params
-from langflow.graph.schema import INPUT_FIELD_NAME
+from langflow.schema.schema import INPUT_FIELD_NAME
from langflow.services.deps import get_monitor_service
from langflow.services.monitor.utils import log_message
diff --git a/src/backend/langflow/graph/edge/schema.py b/src/backend/base/langflow/graph/edge/schema.py
similarity index 100%
rename from src/backend/langflow/graph/edge/schema.py
rename to src/backend/base/langflow/graph/edge/schema.py
diff --git a/src/backend/langflow/graph/edge/utils.py b/src/backend/base/langflow/graph/edge/utils.py
similarity index 100%
rename from src/backend/langflow/graph/edge/utils.py
rename to src/backend/base/langflow/graph/edge/utils.py
diff --git a/src/backend/langflow/services/database/__init__.py b/src/backend/base/langflow/graph/graph/__init__.py
similarity index 100%
rename from src/backend/langflow/services/database/__init__.py
rename to src/backend/base/langflow/graph/graph/__init__.py
diff --git a/src/backend/langflow/graph/graph/base.py b/src/backend/base/langflow/graph/graph/base.py
similarity index 84%
rename from src/backend/langflow/graph/graph/base.py
rename to src/backend/base/langflow/graph/graph/base.py
index 1d68c5e6b..174ec9ce4 100644
--- a/src/backend/langflow/graph/graph/base.py
+++ b/src/backend/base/langflow/graph/graph/base.py
@@ -1,26 +1,21 @@
import asyncio
from collections import defaultdict, deque
from itertools import chain
-from typing import TYPE_CHECKING, Dict, Generator, List, Optional, Type, Union
+from typing import TYPE_CHECKING, Coroutine, Dict, Generator, List, Optional, Type, Union
from loguru import logger
from langflow.graph.edge.base import ContractEdge
from langflow.graph.graph.constants import lazy_load_vertex_dict
+from langflow.graph.graph.runnable_vertices_manager import RunnableVerticesManager
from langflow.graph.graph.state_manager import GraphStateManager
from langflow.graph.graph.utils import process_flow
-from langflow.graph.schema import INPUT_FIELD_NAME, InterfaceComponentTypes, RunOutputs
+from langflow.graph.schema import InterfaceComponentTypes, RunOutputs
from langflow.graph.vertex.base import Vertex
-from langflow.graph.vertex.types import (
- ChatVertex,
- FileToolVertex,
- LLMVertex,
- RoutingVertex,
- StateVertex,
- ToolkitVertex,
-)
+from langflow.graph.vertex.types import ChatVertex, FileToolVertex, LLMVertex, RoutingVertex, StateVertex, ToolkitVertex
from langflow.interface.tools.constants import FILE_TOOLS
from langflow.schema import Record
+from langflow.schema.schema import INPUT_FIELD_NAME
if TYPE_CHECKING:
from langflow.graph.schema import ResultData
@@ -73,6 +68,7 @@ class Graph:
self.inactive_vertices: set = set()
self.edges: List[ContractEdge] = []
self.vertices: List[Vertex] = []
+ self.run_manager = RunnableVerticesManager()
self._build_graph()
self.build_graph_maps()
self.define_vertices_lists()
@@ -205,6 +201,7 @@ class Graph:
self,
inputs: Dict[str, str],
input_components: list[str],
+ input_type: str,
outputs: list[str],
stream: bool,
session_id: str,
@@ -222,13 +219,28 @@ class Graph:
Returns:
List[Optional["ResultData"]]: The outputs of the graph.
"""
- for vertex_id in self._is_input_vertices:
- vertex = self.get_vertex(vertex_id)
- if input_components and (vertex_id not in input_components or vertex.display_name not in input_components):
- continue
- if vertex is None:
- raise ValueError(f"Vertex {vertex_id} not found")
- vertex.update_raw_params(inputs, overwrite=True)
+ if input_components and not isinstance(input_components, list):
+ raise ValueError(f"Invalid components value: {input_components}. Expected list")
+ elif input_components is None:
+ input_components = []
+
+ if not isinstance(inputs.get(INPUT_FIELD_NAME, ""), str):
+ raise ValueError(f"Invalid input value: {inputs.get(INPUT_FIELD_NAME)}. Expected string")
+ if inputs:
+ for vertex_id in self._is_input_vertices:
+ vertex = self.get_vertex(vertex_id)
+ # If the vertex is not in the input_components list
+ if input_components and (
+ vertex_id not in input_components or vertex.display_name not in input_components
+ ):
+ continue
+ # If the input_type is not any and the input_type is not in the vertex id
+ # Example: input_type = "chat" and vertex.id = "OpenAI-19ddn"
+ elif input_type != "any" and input_type not in vertex.id.lower():
+ continue
+ if vertex is None:
+ raise ValueError(f"Vertex {vertex_id} not found")
+ vertex.update_raw_params(inputs, overwrite=True)
# Update all the vertices with the session_id
for vertex_id in self._has_session_id_vertices:
vertex = self.get_vertex(vertex_id)
@@ -250,15 +262,54 @@ class Graph:
if not vertex.result and not stream and hasattr(vertex, "consume_async_generator"):
await vertex.consume_async_generator()
- if not outputs or (vertex.display_name in outputs or vertex.id in outputs):
+ if (not outputs and vertex.is_output) or (vertex.display_name in outputs or vertex.id in outputs):
vertex_outputs.append(vertex.result)
return vertex_outputs
- async def run(
+ def run(
+ self,
+ inputs: Dict[str, str],
+ input_components: Optional[list[str]] = None,
+ types: Optional[list[str]] = None,
+ outputs: Optional[list[str]] = None,
+ session_id: Optional[str] = None,
+ stream: bool = False,
+ ) -> List[RunOutputs]:
+ """
+ Run the graph with the given inputs and return the outputs.
+
+ Args:
+ inputs (Dict[str, str]): A dictionary of input values.
+ input_components (Optional[list[str]]): A list of input components.
+ types (Optional[list[str]]): A list of types.
+ outputs (Optional[list[str]]): A list of output components.
+ session_id (Optional[str]): The session ID.
+ stream (bool): Whether to stream the outputs.
+
+ Returns:
+ List[RunOutputs]: A list of RunOutputs objects representing the outputs.
+ """
+ # run the async function in a sync way
+ # this could be used in a FastAPI endpoint
+ # so we should take care of the event loop
+ loop = asyncio.get_event_loop()
+ return loop.run_until_complete(
+ self.arun(
+ inputs=inputs,
+ inputs_components=input_components,
+ types=types,
+ outputs=outputs,
+ session_id=session_id,
+ stream=stream,
+ )
+ )
+
+ async def arun(
self,
inputs: list[Dict[str, str]],
inputs_components: Optional[list[list[str]]] = None,
+ types: Optional[list[str]] = None,
outputs: Optional[list[str]] = None,
session_id: Optional[str] = None,
stream: bool = False,
@@ -283,17 +334,19 @@ class Graph:
vertex_outputs = []
if not isinstance(inputs, list):
inputs = [inputs]
- for run_inputs, components in zip(inputs, inputs_components or []):
- if components and not isinstance(components, list):
- raise ValueError(f"Invalid components value: {components}. Expected list")
- elif components is None:
- components = []
-
- if not isinstance(run_inputs.get(INPUT_FIELD_NAME, ""), str):
- raise ValueError(f"Invalid input value: {run_inputs.get(INPUT_FIELD_NAME)}. Expected string")
+ elif not inputs:
+ inputs = [{}]
+ # Length of all should be the as inputs length
+ # just add empty lists to complete the length
+ for _ in range(len(inputs) - len(inputs_components)):
+ inputs_components.append([])
+ for _ in range(len(inputs) - len(types)):
+ types.append("any")
+ for run_inputs, components, input_type in zip(inputs, inputs_components, types):
run_outputs = await self._run(
inputs=run_inputs,
input_components=components,
+ input_type=input_type,
outputs=outputs or [],
stream=stream,
session_id=session_id or "",
@@ -376,30 +429,6 @@ class Graph:
def __setstate__(self, state):
self.__init__(**state)
- def build_in_degree(self):
- in_degree = defaultdict(int)
- for edge in self.edges:
- in_degree[edge.target_id] += 1
- return in_degree
-
- def build_adjacency_maps(self):
- """Returns the adjacency maps for the graph."""
- predecessor_map = defaultdict(list)
- successor_map = defaultdict(list)
- for edge in self.edges:
- predecessor_map[edge.target_id].append(edge.source_id)
- successor_map[edge.source_id].append(edge.target_id)
- return predecessor_map, successor_map
-
- def build_run_map(self):
- run_map = defaultdict(list)
- # The run map gets the predecessor_map and maps the info like this:
- # {vertex_id: every id that contains the vertex_id in the predecessor_map}
- for vertex_id, predecessors in self.predecessor_map.items():
- for predecessor in predecessors:
- run_map[predecessor].append(vertex_id)
- return run_map
-
@classmethod
def from_payload(cls, payload: Dict, flow_id: Optional[str] = None) -> "Graph":
"""
@@ -618,6 +647,68 @@ class Graph:
except KeyError:
raise ValueError(f"Vertex {vertex_id} not found")
+ async def build_vertex(
+ self,
+ lock: asyncio.Lock,
+ set_cache_coro: Coroutine,
+ vertex_id: str,
+ inputs_dict: Optional[Dict[str, str]] = None,
+ user_id: Optional[str] = None,
+ ):
+ """
+ Builds a vertex in the graph.
+
+ Args:
+ lock (asyncio.Lock): A lock to synchronize access to the graph.
+ set_cache_coro (Coroutine): A coroutine to set the cache.
+ vertex_id (str): The ID of the vertex to build.
+ inputs (Optional[Dict[str, str]]): Optional dictionary of inputs for the vertex. Defaults to None.
+ user_id (Optional[str]): Optional user ID. Defaults to None.
+
+ Returns:
+ Tuple: A tuple containing the next runnable vertices, top level vertices, result dictionary,
+ parameters, validity flag, artifacts, and the built vertex.
+
+ Raises:
+ ValueError: If no result is found for the vertex.
+ """
+ vertex = self.get_vertex(vertex_id)
+ try:
+ if not vertex.frozen or not vertex._built:
+ await vertex.build(user_id=user_id, inputs=inputs_dict)
+
+ if vertex.result is not None:
+ params = vertex._built_object_repr()
+ valid = True
+ result_dict = vertex.result
+ artifacts = vertex.artifacts
+ else:
+ raise ValueError(f"No result found for vertex {vertex_id}")
+
+ next_runnable_vertices, top_level_vertices = await self.get_next_and_top_level_vertices(
+ lock, set_cache_coro, vertex
+ )
+ return next_runnable_vertices, top_level_vertices, result_dict, params, valid, artifacts, vertex
+ except Exception as exc:
+ logger.exception(f"Error building vertex: {exc}")
+ raise exc
+
+ async def get_next_and_top_level_vertices(self, lock: asyncio.Lock, set_cache_coro: Coroutine, vertex: Vertex):
+ """
+ Retrieves the next runnable vertices and the top level vertices for a given vertex.
+
+ Args:
+ lock (asyncio.Lock): The lock used to synchronize access to the graph.
+ set_cache_coro (Coroutine): The coroutine used to set the cache for the graph.
+ vertex (Vertex): The vertex for which to retrieve the next runnable and top level vertices.
+
+ Returns:
+ Tuple[List[Vertex], List[Vertex]]: A tuple containing the next runnable vertices and the top level vertices.
+ """
+ next_runnable_vertices = await self.run_manager.get_next_runnable_vertices(lock, set_cache_coro, self, vertex)
+ top_level_vertices = self.run_manager.get_top_level_vertices(self, next_runnable_vertices)
+ return next_runnable_vertices, top_level_vertices
+
def get_vertex_edges(
self,
vertex_id: str,
@@ -890,6 +981,8 @@ class Graph:
successors_result.append(successor)
return successors_result
+ stop_or_start_vertex = self.get_vertex(vertex_id)
+ stop_predecessors = [pre.id for pre in stop_or_start_vertex.predecessors]
# DFS to collect all vertices that can reach the specified vertex
while stack:
current_id = stack.pop()
@@ -916,6 +1009,12 @@ class Graph:
stack.append(successor.id)
else:
excluded.add(successor.id)
+ elif current_id not in stop_predecessors:
+ # If the current vertex is not the target vertex, we should add all its successors
+ # to the stack if they are not in visited
+ for successor in current_vertex.successors:
+ if successor.id not in visited:
+ stack.append(successor.id)
# Filter the original graph's vertices and edges to keep only those in `visited`
vertices_to_keep = [self.get_vertex(vid) for vid in visited]
@@ -1050,41 +1149,10 @@ class Graph:
# save the only the rest
self.vertices_layers = vertices_layers[1:]
self.vertices_to_run = {vertex_id for vertex_id in chain.from_iterable(vertices_layers)}
- self.run_map, self.run_predecessors = (
- self.build_run_map(),
- self.predecessor_map.copy(),
- )
-
+ self.build_run_map()
# Return just the first layer
return first_layer
- def is_vertex_runnable(self, vertex_id: str) -> bool:
- """Returns whether a vertex is runnable."""
- return vertex_id in self.vertices_to_run and not self.run_predecessors.get(vertex_id)
-
- def find_runnable_predecessors_for_successors(self, vertex_id: str) -> List[str]:
- """
- For each successor of the current vertex, find runnable predecessors if any.
- This checks the direct predecessors of each successor to identify any that are
- immediately runnable, expanding the search to ensure progress can be made.
- """
- runnable_vertices = []
- visited = set()
-
- for successor_id in self.run_map.get(vertex_id, []):
- for predecessor_id in self.run_predecessors.get(successor_id, []):
- if predecessor_id not in visited and self.is_vertex_runnable(predecessor_id):
- runnable_vertices.append(predecessor_id)
- visited.add(predecessor_id)
-
- return runnable_vertices
-
- def remove_from_predecessors(self, vertex_id: str):
- predecessors = self.run_map.get(vertex_id, [])
- for predecessor in predecessors:
- if vertex_id in self.run_predecessors[predecessor]:
- self.run_predecessors[predecessor].remove(vertex_id)
-
def sort_interface_components_first(self, vertices_layers: List[List[str]]) -> List[List[str]]:
"""Sorts the vertices in the graph so that vertices containing ChatInput or ChatOutput come first."""
@@ -1114,3 +1182,45 @@ class Graph:
sorted_vertices = [sort_layer_by_avg_build_time(layer) for layer in vertices_layers]
return sorted_vertices
+
+ def is_vertex_runnable(self, vertex_id: str) -> bool:
+ """Returns whether a vertex is runnable."""
+ return self.run_manager.is_vertex_runnable(vertex_id)
+
+ def build_run_map(self):
+ """
+ Builds the run map for the graph.
+
+ This method is responsible for building the run map for the graph,
+ which maps each node in the graph to its corresponding run function.
+
+ Returns:
+ None
+ """
+ self.run_manager.build_run_map(self)
+
+ def find_runnable_predecessors_for_successors(self, vertex_id: str) -> List[str]:
+ """
+ For each successor of the current vertex, find runnable predecessors if any.
+ This checks the direct predecessors of each successor to identify any that are
+ immediately runnable, expanding the search to ensure progress can be made.
+ """
+ return self.run_manager.find_runnable_predecessors_for_successors(vertex_id)
+
+ def remove_from_predecessors(self, vertex_id: str):
+ self.run_manager.remove_from_predecessors(vertex_id)
+
+ def build_in_degree(self):
+ in_degree = defaultdict(int)
+ for edge in self.edges:
+ in_degree[edge.target_id] += 1
+ return in_degree
+
+ def build_adjacency_maps(self):
+ """Returns the adjacency maps for the graph."""
+ predecessor_map = defaultdict(list)
+ successor_map = defaultdict(list)
+ for edge in self.edges:
+ predecessor_map[edge.target_id].append(edge.source_id)
+ successor_map[edge.source_id].append(edge.target_id)
+ return predecessor_map, successor_map
diff --git a/src/backend/langflow/graph/graph/constants.py b/src/backend/base/langflow/graph/graph/constants.py
similarity index 100%
rename from src/backend/langflow/graph/graph/constants.py
rename to src/backend/base/langflow/graph/graph/constants.py
diff --git a/src/backend/base/langflow/graph/graph/runnable_vertices_manager.py b/src/backend/base/langflow/graph/graph/runnable_vertices_manager.py
new file mode 100644
index 000000000..3fa9d3e91
--- /dev/null
+++ b/src/backend/base/langflow/graph/graph/runnable_vertices_manager.py
@@ -0,0 +1,111 @@
+import asyncio
+from collections import defaultdict
+from typing import TYPE_CHECKING, Coroutine, List
+
+if TYPE_CHECKING:
+ from langflow.graph.graph.base import Graph
+ from langflow.graph.vertex.base import Vertex
+
+
+class RunnableVerticesManager:
+ def __init__(self):
+ self.run_map = defaultdict(list) # Tracks successors of each vertex
+ self.run_predecessors = defaultdict(set) # Tracks predecessors for each vertex
+ self.vertices_to_run = set() # Set of vertices that are ready to run
+
+ def is_vertex_runnable(self, vertex_id: str) -> bool:
+ """Determines if a vertex is runnable."""
+ return vertex_id in self.vertices_to_run and not self.run_predecessors.get(vertex_id)
+
+ def find_runnable_predecessors_for_successors(self, vertex_id: str) -> List[str]:
+ """Finds runnable predecessors for the successors of a given vertex."""
+ runnable_vertices = []
+ visited = set()
+
+ for successor_id in self.run_map.get(vertex_id, []):
+ for predecessor_id in self.run_predecessors.get(successor_id, []):
+ if predecessor_id not in visited and self.is_vertex_runnable(predecessor_id):
+ runnable_vertices.append(predecessor_id)
+ visited.add(predecessor_id)
+ return runnable_vertices
+
+ def remove_from_predecessors(self, vertex_id: str):
+ """Removes a vertex from the predecessor list of its successors."""
+ predecessors = self.run_map.get(vertex_id, [])
+ for predecessor in predecessors:
+ if vertex_id in self.run_predecessors[predecessor]:
+ self.run_predecessors[predecessor].remove(vertex_id)
+
+ def build_run_map(self, graph):
+ """Builds a map of vertices and their runnable successors."""
+ self.run_map = defaultdict(list)
+ for vertex_id, predecessors in graph.predecessor_map.items():
+ for predecessor in predecessors:
+ self.run_map[predecessor].append(vertex_id)
+ self.run_predecessors = graph.predecessor_map.copy()
+ self.vertices_to_run = graph.vertices_to_run
+
+ def update_vertex_run_state(self, vertex_id: str, is_runnable: bool):
+ """Updates the runnable state of a vertex."""
+ if is_runnable:
+ self.vertices_to_run.add(vertex_id)
+ else:
+ self.vertices_to_run.discard(vertex_id)
+
+ async def get_next_runnable_vertices(
+ self,
+ lock: asyncio.Lock,
+ set_cache_coro: Coroutine,
+ graph: "Graph",
+ vertex: "Vertex",
+ ):
+ """
+ Retrieves the next runnable vertices in the graph for a given vertex.
+
+ Args:
+ graph (Graph): The graph object representing the flow.
+ vertex (Vertex): The current vertex.
+ vertex_id (str): The ID of the current vertex.
+ chat_service (ChatService): The chat service object.
+ flow_id (str): The ID of the flow.
+
+ Returns:
+ list: A list of IDs of the next runnable vertices.
+
+ """
+ async with lock:
+ self.remove_from_predecessors(vertex.id)
+ direct_successors_ready = [v for v in vertex.successors_ids if self.is_vertex_runnable(v)]
+ if not direct_successors_ready:
+ # No direct successors ready, look for runnable predecessors of successors
+ next_runnable_vertices = self.find_runnable_predecessors_for_successors(vertex.id)
+ else:
+ next_runnable_vertices = direct_successors_ready
+
+ for v_id in set(next_runnable_vertices): # Use set to avoid duplicates
+ self.update_vertex_run_state(v_id, is_runnable=False)
+ self.remove_from_predecessors(v_id)
+ await set_cache_coro(data=graph, lock=lock)
+ return next_runnable_vertices
+
+ @staticmethod
+ def get_top_level_vertices(graph, vertices_ids):
+ """
+ Retrieves the top-level vertices from the given graph based on the provided vertex IDs.
+
+ Args:
+ graph (Graph): The graph object containing the vertices.
+ vertices_ids (list): A list of vertex IDs.
+
+ Returns:
+ list: A list of top-level vertex IDs.
+
+ """
+ top_level_vertices = []
+ for vertex_id in vertices_ids:
+ vertex = graph.get_vertex(vertex_id)
+ if vertex.parent_is_top_level:
+ top_level_vertices.append(vertex.parent_node_id)
+ else:
+ top_level_vertices.append(vertex_id)
+ return top_level_vertices
diff --git a/src/backend/langflow/graph/graph/state_manager.py b/src/backend/base/langflow/graph/graph/state_manager.py
similarity index 100%
rename from src/backend/langflow/graph/graph/state_manager.py
rename to src/backend/base/langflow/graph/graph/state_manager.py
diff --git a/src/backend/langflow/graph/graph/utils.py b/src/backend/base/langflow/graph/graph/utils.py
similarity index 100%
rename from src/backend/langflow/graph/graph/utils.py
rename to src/backend/base/langflow/graph/graph/utils.py
diff --git a/src/backend/langflow/graph/schema.py b/src/backend/base/langflow/graph/schema.py
similarity index 97%
rename from src/backend/langflow/graph/schema.py
rename to src/backend/base/langflow/graph/schema.py
index dc299e220..0bbdfa720 100644
--- a/src/backend/langflow/graph/schema.py
+++ b/src/backend/base/langflow/graph/schema.py
@@ -49,8 +49,6 @@ OUTPUT_COMPONENTS = [
InterfaceComponentTypes.TextOutput,
]
-INPUT_FIELD_NAME = "input_value"
-
class RunOutputs(BaseModel):
inputs: dict = Field(default_factory=dict)
diff --git a/src/backend/langflow/graph/utils.py b/src/backend/base/langflow/graph/utils.py
similarity index 100%
rename from src/backend/langflow/graph/utils.py
rename to src/backend/base/langflow/graph/utils.py
diff --git a/src/backend/langflow/services/monitor/__init__.py b/src/backend/base/langflow/graph/vertex/__init__.py
similarity index 100%
rename from src/backend/langflow/services/monitor/__init__.py
rename to src/backend/base/langflow/graph/vertex/__init__.py
diff --git a/src/backend/langflow/graph/vertex/base.py b/src/backend/base/langflow/graph/vertex/base.py
similarity index 96%
rename from src/backend/langflow/graph/vertex/base.py
rename to src/backend/base/langflow/graph/vertex/base.py
index 6a2d8665d..c2968df2a 100644
--- a/src/backend/langflow/graph/vertex/base.py
+++ b/src/backend/base/langflow/graph/vertex/base.py
@@ -3,16 +3,9 @@ import asyncio
import inspect
import types
from enum import Enum
-from typing import (
- TYPE_CHECKING,
- Any,
- AsyncIterator,
- Callable,
- Dict,
- Iterator,
- List,
- Optional,
-)
+from typing import TYPE_CHECKING, Any, AsyncIterator, Callable, Dict, Iterator, List, Optional
+
+from loguru import logger
from langflow.graph.schema import (
INPUT_COMPONENTS,
@@ -29,7 +22,6 @@ from langflow.services.deps import get_storage_service
from langflow.utils.constants import DIRECT_TYPES
from langflow.utils.schemas import ChatOutputResponse
from langflow.utils.util import sync_to_async, unescape_string
-from loguru import logger
if TYPE_CHECKING:
from langflow.graph.edge.base import ContractEdge
@@ -59,6 +51,7 @@ class Vertex:
self.will_stream = False
self.updated_raw_params = False
self.id: str = data["id"]
+ self.base_name = self.id.split("-")[0]
self.is_state = False
self.is_input = any(input_component_name in self.id for input_component_name in INPUT_COMPONENTS)
self.is_output = any(output_component_name in self.id for output_component_name in OUTPUT_COMPONENTS)
@@ -161,6 +154,7 @@ class Vertex:
"_data": self._data,
"params": {},
"base_type": self.base_type,
+ "base_name": self.base_name,
"is_task": self.is_task,
"id": self.id,
"_built_object": UnbuiltObject(),
@@ -182,6 +176,7 @@ class Vertex:
self.frozen = state.get("frozen", False)
self.is_input = state.get("is_input", False)
self.is_output = state.get("is_output", False)
+ self.base_name = state["base_name"]
self._parse_data()
if "_built_object" in state:
self._built_object = state["_built_object"]
@@ -208,6 +203,8 @@ class Vertex:
self.data = self._data["data"]
self.output = self.data["node"]["base_classes"]
self.display_name = self.data["node"].get("display_name", self.id.split("-")[0])
+
+ self.description = self.data["node"].get("description", "")
self.frozen = self.data["node"].get("frozen", False)
self.selected_output_type = self.data["node"].get("selected_output_type")
self.is_input = self.data["node"].get("is_input") or self.is_input
@@ -312,10 +309,16 @@ class Vertex:
# value.get('value') is the file name
if file_path := field.get("file_path"):
storage_service = get_storage_service()
- flow_id, file_name = file_path.split("/")
- full_path = storage_service.build_full_path(flow_id, file_name)
+ try:
+ flow_id, file_name = file_path.split("/")
+ full_path = storage_service.build_full_path(flow_id, file_name)
+ except ValueError as e:
+ if "too many values to unpack" in str(e):
+ full_path = file_path
+ else:
+ raise e
params[field_name] = full_path
- else:
+ elif field.get("required"):
raise ValueError(f"File path not found for {self.display_name}")
elif field.get("type") in DIRECT_TYPES and params.get(field_name) is None:
val = field.get("value")
@@ -411,19 +414,18 @@ class Vertex:
Returns:
List[str]: The extracted messages.
"""
- messages = []
- for key, artifact in artifacts.items():
- if not isinstance(artifact, dict):
- continue
- if "message" in artifact:
- chat_output_response = ChatOutputResponse(
- message=artifact["message"],
- sender=artifact.get("sender"),
- sender_name=artifact.get("sender_name"),
- session_id=artifact.get("session_id"),
+ try:
+ messages = [
+ ChatOutputResponse(
+ message=artifacts["message"],
+ sender=artifacts.get("sender"),
+ sender_name=artifacts.get("sender_name"),
+ session_id=artifacts.get("session_id"),
component_id=self.id,
- )
- messages.append(chat_output_response.model_dump(exclude_none=True))
+ ).model_dump(exclude_none=True)
+ ]
+ except KeyError:
+ messages = []
return messages
diff --git a/src/backend/langflow/graph/vertex/constants.py b/src/backend/base/langflow/graph/vertex/constants.py
similarity index 100%
rename from src/backend/langflow/graph/vertex/constants.py
rename to src/backend/base/langflow/graph/vertex/constants.py
diff --git a/src/backend/langflow/graph/vertex/types.py b/src/backend/base/langflow/graph/vertex/types.py
similarity index 99%
rename from src/backend/langflow/graph/vertex/types.py
rename to src/backend/base/langflow/graph/vertex/types.py
index 1467919e4..538b2860d 100644
--- a/src/backend/langflow/graph/vertex/types.py
+++ b/src/backend/base/langflow/graph/vertex/types.py
@@ -6,11 +6,12 @@ import yaml
from langchain_core.messages import AIMessage
from loguru import logger
-from langflow.graph.schema import INPUT_FIELD_NAME, InterfaceComponentTypes
+from langflow.graph.schema import InterfaceComponentTypes
from langflow.graph.utils import UnbuiltObject, flatten_list, serialize_field
from langflow.graph.vertex.base import Vertex
from langflow.interface.utils import extract_input_variables_from_prompt
from langflow.schema import Record
+from langflow.schema.schema import INPUT_FIELD_NAME
from langflow.services.monitor.utils import log_vertex_build
from langflow.utils.schemas import ChatOutputResponse
from langflow.utils.util import unescape_string
diff --git a/src/backend/langflow/graph/vertex/utils.py b/src/backend/base/langflow/graph/vertex/utils.py
similarity index 99%
rename from src/backend/langflow/graph/vertex/utils.py
rename to src/backend/base/langflow/graph/vertex/utils.py
index e67104365..ea2693e29 100644
--- a/src/backend/langflow/graph/vertex/utils.py
+++ b/src/backend/base/langflow/graph/vertex/utils.py
@@ -2,9 +2,10 @@ from typing import Any, Optional, Union
from langchain_core.messages import BaseMessage
from langchain_core.runnables import Runnable
-from langflow.utils.constants import PYTHON_BASIC_TYPES
from loguru import logger
+from langflow.utils.constants import PYTHON_BASIC_TYPES
+
def is_basic_type(obj):
return type(obj) in PYTHON_BASIC_TYPES
diff --git a/src/backend/base/langflow/helpers/__init__py b/src/backend/base/langflow/helpers/__init__py
new file mode 100644
index 000000000..b944a0178
--- /dev/null
+++ b/src/backend/base/langflow/helpers/__init__py
@@ -0,0 +1,3 @@
+from .record import docs_to_records, records_to_text
+
+__all__ = ["docs_to_records", "records_to_text"]
\ No newline at end of file
diff --git a/src/backend/base/langflow/helpers/flow.py b/src/backend/base/langflow/helpers/flow.py
new file mode 100644
index 000000000..328e99ca1
--- /dev/null
+++ b/src/backend/base/langflow/helpers/flow.py
@@ -0,0 +1,199 @@
+from typing import TYPE_CHECKING, Any, Callable, Coroutine, List, Optional, Tuple, Union
+
+from pydantic.v1 import BaseModel, Field, create_model
+from sqlmodel import select
+
+from langflow.schema.schema import INPUT_FIELD_NAME, Record
+from langflow.services.database.models.flow.model import Flow
+from langflow.services.deps import session_scope
+
+if TYPE_CHECKING:
+ from langflow.graph.graph.base import Graph
+ from langflow.graph.vertex.base import Vertex
+
+INPUT_TYPE_MAP = {
+ "ChatInput": {"type_hint": "Optional[str]", "default": '""'},
+ "TextInput": {"type_hint": "Optional[str]", "default": '""'},
+ "JSONInput": {"type_hint": "Optional[dict]", "default": "{}"},
+}
+
+
+def list_flows(*, user_id: Optional[str] = None) -> List[Record]:
+ if not user_id:
+ raise ValueError("Session is invalid")
+ try:
+ with session_scope() as session:
+ flows = session.exec(
+ select(Flow).where(Flow.user_id == user_id).where(Flow.is_component == False) # noqa
+ ).all()
+
+ flows_records = [flow.to_record() for flow in flows]
+ return flows_records
+ except Exception as e:
+ raise ValueError(f"Error listing flows: {e}")
+
+
+async def load_flow(
+ user_id: str, flow_id: Optional[str] = None, flow_name: Optional[str] = None, tweaks: Optional[dict] = None
+) -> "Graph":
+ from langflow.graph.graph.base import Graph
+ from langflow.processing.process import process_tweaks
+
+ if not flow_id and not flow_name:
+ raise ValueError("Flow ID or Flow Name is required")
+ if not flow_id and flow_name:
+ flow_id = find_flow(flow_name, user_id)
+ if not flow_id:
+ raise ValueError(f"Flow {flow_name} not found")
+
+ with session_scope() as session:
+ graph_data = flow.data if (flow := session.get(Flow, flow_id)) else None
+ if not graph_data:
+ raise ValueError(f"Flow {flow_id} not found")
+ if tweaks:
+ graph_data = process_tweaks(graph_data=graph_data, tweaks=tweaks)
+ graph = Graph.from_payload(graph_data, flow_id=flow_id)
+ return graph
+
+
+def find_flow(flow_name: str, user_id: str) -> Optional[str]:
+ with session_scope() as session:
+ flow = session.exec(select(Flow).where(Flow.name == flow_name).where(Flow.user_id == user_id)).first()
+ return flow.id if flow else None
+
+
+async def run_flow(
+ inputs: Union[dict, List[dict]] = None,
+ tweaks: Optional[dict] = None,
+ flow_id: Optional[str] = None,
+ flow_name: Optional[str] = None,
+ user_id: Optional[str] = None,
+) -> Any:
+ graph = await load_flow(user_id, flow_id, flow_name, tweaks)
+
+ if inputs is None:
+ inputs = []
+ inputs_list = []
+ inputs_components = []
+ types = []
+ for input_dict in inputs:
+ inputs_list.append({INPUT_FIELD_NAME: input_dict.get("input_value")})
+ inputs_components.append(input_dict.get("components", []))
+ types.append(input_dict.get("type", []))
+
+ return await graph.arun(inputs_list, inputs_components=inputs_components, types=types)
+
+
+def generate_function_for_flow(inputs: List["Vertex"], flow_id: str) -> Coroutine:
+ """
+ Generate a dynamic flow function based on the given inputs and flow ID.
+
+ Args:
+ inputs (List[Vertex]): The list of input vertices for the flow.
+ flow_id (str): The ID of the flow.
+
+ Returns:
+ Coroutine: The dynamic flow function.
+
+ Raises:
+ None
+
+ Example:
+ inputs = [vertex1, vertex2]
+ flow_id = "my_flow"
+ function = generate_function_for_flow(inputs, flow_id)
+ result = function(input1, input2)
+ """
+ # Prepare function arguments with type hints and default values
+ args = [
+ f"{input_.display_name.lower().replace(' ', '_')}: {INPUT_TYPE_MAP[input_.base_name]['type_hint']} = {INPUT_TYPE_MAP[input_.base_name]['default']}"
+ for input_ in inputs
+ ]
+
+ # Maintain original argument names for constructing the tweaks dictionary
+ original_arg_names = [input_.display_name for input_ in inputs]
+
+ # Prepare a Pythonic, valid function argument string
+ func_args = ", ".join(args)
+
+ # Map original argument names to their corresponding Pythonic variable names in the function
+ arg_mappings = ", ".join(
+ f'"{original_name}": {name}'
+ for original_name, name in zip(original_arg_names, [arg.split(":")[0] for arg in args])
+ )
+
+ func_body = f"""
+from typing import Optional
+async def flow_function({func_args}):
+ tweaks = {{ {arg_mappings} }}
+ from langflow.helpers.flow import run_flow
+ from langchain_core.tools import ToolException
+ try:
+ return await run_flow(
+ tweaks={{key: {{'input_value': value}} for key, value in tweaks.items()}},
+ flow_id="{flow_id}",
+ )
+ except Exception as e:
+ raise ToolException(f'Error running flow: ' + e)
+"""
+
+ compiled_func = compile(func_body, "", "exec")
+ local_scope = {}
+ exec(compiled_func, globals(), local_scope)
+ return local_scope["flow_function"]
+
+
+def build_function_and_schema(flow_record: Record, graph: "Graph") -> Tuple[Callable, BaseModel]:
+ """
+ Builds a dynamic function and schema for a given flow.
+
+ Args:
+ flow_record (Record): The flow record containing information about the flow.
+ graph (Graph): The graph representing the flow.
+
+ Returns:
+ Tuple[Callable, BaseModel]: A tuple containing the dynamic function and the schema.
+ """
+ flow_id = flow_record.id
+ inputs = get_flow_inputs(graph)
+ dynamic_flow_function = generate_function_for_flow(inputs, flow_id)
+ schema = build_schema_from_inputs(flow_record.name, inputs)
+ return dynamic_flow_function, schema
+
+
+def get_flow_inputs(graph: "Graph") -> List["Vertex"]:
+ """
+ Retrieves the flow inputs from the given graph.
+
+ Args:
+ graph (Graph): The graph object representing the flow.
+
+ Returns:
+ List[Record]: A list of input records, where each record contains the ID, name, and description of the input vertex.
+ """
+ inputs = []
+ for vertex in graph.vertices:
+ if vertex.is_input:
+ inputs.append(vertex)
+ return inputs
+
+
+def build_schema_from_inputs(name: str, inputs: List[tuple[str, str, str]]) -> BaseModel:
+ """
+ Builds a schema from the given inputs.
+
+ Args:
+ name (str): The name of the schema.
+ inputs (List[tuple[str, str, str]]): A list of tuples representing the inputs.
+ Each tuple contains three elements: the input name, the input type, and the input description.
+
+ Returns:
+ BaseModel: The schema model.
+
+ """
+ fields = {}
+ for input_ in inputs:
+ field_name = input_.display_name.lower().replace(" ", "_")
+ description = input_.description
+ fields[field_name] = (str, Field(default="", description=description))
+ return create_model(name, **fields)
diff --git a/src/backend/base/langflow/helpers/record.py b/src/backend/base/langflow/helpers/record.py
new file mode 100644
index 000000000..d7b1d2b06
--- /dev/null
+++ b/src/backend/base/langflow/helpers/record.py
@@ -0,0 +1,34 @@
+from langchain_core.documents import Document
+
+from langflow.schema import Record
+
+
+def docs_to_records(documents: list[Document]) -> list[Record]:
+ """
+ Converts a list of Documents to a list of Records.
+
+ Args:
+ documents (list[Document]): The list of Documents to convert.
+
+ Returns:
+ list[Record]: The converted list of Records.
+ """
+ return [Record.from_document(document) for document in documents]
+
+
+def records_to_text(template: str, records: list[Record]) -> str:
+ """
+ Converts a list of Records to a list of texts.
+
+ Args:
+ records (list[Record]): The list of Records to convert.
+
+ Returns:
+ list[str]: The converted list of texts.
+ """
+ if isinstance(records, Record):
+ records = [records]
+ # Check if there are any format strings in the template
+
+ formated_records = [template.format(data=record.data, **record.data) for record in records]
+ return "\n".join(formated_records)
diff --git a/src/backend/langflow/services/plugins/__init__.py b/src/backend/base/langflow/initial_setup/__init__.py
similarity index 100%
rename from src/backend/langflow/services/plugins/__init__.py
rename to src/backend/base/langflow/initial_setup/__init__.py
diff --git a/src/backend/langflow/initial_setup/setup.py b/src/backend/base/langflow/initial_setup/setup.py
similarity index 97%
rename from src/backend/langflow/initial_setup/setup.py
rename to src/backend/base/langflow/initial_setup/setup.py
index 692ea77d4..70a47ce01 100644
--- a/src/backend/langflow/initial_setup/setup.py
+++ b/src/backend/base/langflow/initial_setup/setup.py
@@ -52,6 +52,10 @@ def get_project_data(project):
updated_at_datetime = datetime.strptime(project_updated_at, "%Y-%m-%dT%H:%M:%S.%f")
project_data = project.get("data")
project_icon = project.get("icon")
+ if project_icon and purely_emoji(project_icon):
+ project_icon = demojize(project_icon)
+ else:
+ project_icon = ""
project_icon_bg_color = project.get("icon_bg_color")
return (
project_name,
@@ -98,7 +102,7 @@ def create_new_project(
new_project = FlowCreate(
name=project_name,
description=project_description,
- icon=project_icon if not purely_emoji(project_icon) else demojize(project_icon),
+ icon=project_icon,
icon_bg_color=project_icon_bg_color,
data=project_data,
is_component=project_is_component,
diff --git a/src/backend/langflow/initial_setup/starter_projects/Langflow Basic Prompting.json b/src/backend/base/langflow/initial_setup/starter_projects/Langflow Basic Prompting.json
similarity index 82%
rename from src/backend/langflow/initial_setup/starter_projects/Langflow Basic Prompting.json
rename to src/backend/base/langflow/initial_setup/starter_projects/Langflow Basic Prompting.json
index 879cb1468..654e1da6f 100644
--- a/src/backend/langflow/initial_setup/starter_projects/Langflow Basic Prompting.json
+++ b/src/backend/base/langflow/initial_setup/starter_projects/Langflow Basic Prompting.json
@@ -1,11 +1,11 @@
{
- "id": "4ac1ae80-b818-4fdf-b72c-f22dace784a5",
+ "id": "8e544e5b-d4a7-487a-afe3-b271e3cb9e5c",
"icon": "📝",
"icon_bg_color": "#FFD700",
"data": {
"nodes": [
{
- "id": "ChatInput-WcFzs",
+ "id": "ChatInput-5Jp60",
"type": "genericNode",
"position": {
"x": 86.66131544226482,
@@ -22,12 +22,12 @@
"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 = \"Used to get user input from the chat.\"\n\n def build(\n self,\n sender: Optional[str] = \"User\",\n sender_name: Optional[str] = \"User\",\n input_value: Optional[str] = None,\n session_id: Optional[str] = None,\n return_record: Optional[bool] = False,\n ) -> Union[Text, Record]:\n return super().build(\n sender=sender,\n sender_name=sender_name,\n input_value=input_value,\n session_id=session_id,\n return_record=return_record,\n )\n",
+ "value": "from typing import Optional, Union\n\nfrom langflow.base.io.chat import ChatComponent\nfrom langflow.field_typing import Text\nfrom langflow.schema import Record\n\n\nclass ChatInput(ChatComponent):\n display_name = \"Chat Input\"\n description = \"Used to get user input from the chat.\"\n icon = \"ChatInput\"\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": false,
+ "advanced": true,
"dynamic": true,
"info": "",
"title_case": false
@@ -164,11 +164,11 @@
"field_order": [],
"beta": true
},
- "id": "ChatInput-WcFzs"
+ "id": "ChatInput-5Jp60"
},
"selected": false,
"width": 384,
- "height": 667,
+ "height": 675,
"positionAbsolute": {
"x": 86.66131544226482,
"y": 69.51987428063671
@@ -176,7 +176,7 @@
"dragging": false
},
{
- "id": "Prompt-QtWOn",
+ "id": "Prompt-adTHU",
"type": "genericNode",
"position": {
"x": 731.5380376186406,
@@ -193,7 +193,7 @@
"list": false,
"show": true,
"multiline": true,
- "value": "from langchain_core.prompts import PromptTemplate\n\nfrom langflow import CustomComponent\nfrom langflow.field_typing import Prompt, TemplateField, Text\n\n\nclass PromptComponent(CustomComponent):\n display_name: str = \"Prompt\"\n description: str = \"A component for creating prompts using templates\"\n beta = True\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 prompt_template = PromptTemplate.from_template(Text(template))\n\n attributes_to_check = [\"text\", \"page_content\"]\n for key, value in kwargs.copy().items():\n for attribute in attributes_to_check:\n if hasattr(value, attribute):\n kwargs[key] = getattr(value, attribute)\n\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: \"{formated_prompt}\"'\n return formated_prompt\n",
+ "value": "from langchain_core.prompts import PromptTemplate\n\nfrom langflow.custom import CustomComponent\nfrom langflow.field_typing import Prompt, TemplateField, Text\n\n\nclass PromptComponent(CustomComponent):\n display_name: str = \"Prompt\"\n description: str = \"A component for creating prompts using templates\"\n icon = \"terminal-square\"\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,
@@ -331,17 +331,17 @@
"beta": true,
"error": null
},
- "id": "Prompt-QtWOn",
+ "id": "Prompt-adTHU",
"description": "A component for creating prompts using templates",
"display_name": "Prompt"
},
"selected": false,
"width": 384,
- "height": 571,
+ "height": 595,
"dragging": false
},
{
- "id": "TextInput-xUQ9w",
+ "id": "TextInput-fha43",
"type": "genericNode",
"position": {
"x": 91.73477837172948,
@@ -412,11 +412,11 @@
],
"beta": true
},
- "id": "TextInput-xUQ9w"
+ "id": "TextInput-fha43"
},
"selected": false,
"width": 384,
- "height": 289,
+ "height": 297,
"positionAbsolute": {
"x": 91.73477837172948,
"y": 787.6263883143245
@@ -424,7 +424,7 @@
"dragging": false
},
{
- "id": "TextInput-l4zQt",
+ "id": "TextInput-SncwS",
"type": "genericNode",
"position": {
"x": 93.56470545178581,
@@ -495,11 +495,11 @@
],
"beta": true
},
- "id": "TextInput-l4zQt"
+ "id": "TextInput-SncwS"
},
"selected": false,
"width": 384,
- "height": 289,
+ "height": 297,
"positionAbsolute": {
"x": 93.56470545178581,
"y": 1125.2986229040628
@@ -507,7 +507,7 @@
"dragging": false
},
{
- "id": "TextOutput-fTp5e",
+ "id": "TextOutput-A6XkD",
"type": "genericNode",
"position": {
"x": 1242.6494961686594,
@@ -578,7 +578,7 @@
],
"beta": true
},
- "id": "TextOutput-fTp5e"
+ "id": "TextOutput-A6XkD"
},
"selected": false,
"width": 384,
@@ -590,7 +590,7 @@
"dragging": false
},
{
- "id": "ChatOutput-AVN8s",
+ "id": "ChatOutput-HgY4l",
"type": "genericNode",
"position": {
"x": 2299.2806014585203,
@@ -607,12 +607,12 @@
"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 = \"Used to send a message to the chat.\"\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 ) -> Union[Text, Record]:\n return super().build(\n sender=sender,\n sender_name=sender_name,\n input_value=input_value,\n session_id=session_id,\n return_record=return_record,\n )\n",
+ "value": "from typing import Optional, Union\n\nfrom langflow.base.io.chat import ChatComponent\nfrom langflow.field_typing import Text\nfrom langflow.schema import Record\n\n\nclass ChatOutput(ChatComponent):\n display_name = \"Chat Output\"\n description = \"Used to send a message to the chat.\"\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 ) -> 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": false,
+ "advanced": true,
"dynamic": true,
"info": "",
"title_case": false
@@ -748,11 +748,11 @@
"field_order": [],
"beta": true
},
- "id": "ChatOutput-AVN8s"
+ "id": "ChatOutput-HgY4l"
},
- "selected": false,
+ "selected": true,
"width": 384,
- "height": 667,
+ "height": 675,
"positionAbsolute": {
"x": 2299.2806014585203,
"y": 449.2461295937437
@@ -760,11 +760,11 @@
"dragging": false
},
{
- "id": "OpenAIModel-IRzsd",
+ "id": "OpenAIModel-gaDoA",
"type": "genericNode",
"position": {
- "x": 1735.1051821296949,
- "y": 246.4955882724468
+ "x": 1726.999321719415,
+ "y": 349.13963064653507
},
"data": {
"type": "OpenAIModel",
@@ -797,12 +797,12 @@
"list": false,
"show": true,
"multiline": true,
- "value": "from typing import Optional\n\nfrom langchain_openai import ChatOpenAI\nfrom pydantic.v1 import SecretStr\n\nfrom langflow.components.models.base.model import LCModelComponent\nfrom langflow.field_typing import NestedDict, Text\n\n\nclass OpenAIModelComponent(LCModelComponent):\n display_name = \"OpenAI Model\"\n description = \"Generates text using OpenAI's models.\"\n icon = \"OpenAI\"\n\n def build_config(self):\n return {\n \"input_value\": {\"display_name\": \"Input\"},\n \"max_tokens\": {\n \"display_name\": \"Max Tokens\",\n \"advanced\": False,\n \"required\": False,\n },\n \"model_kwargs\": {\n \"display_name\": \"Model Kwargs\",\n \"advanced\": True,\n \"required\": False,\n },\n \"model_name\": {\n \"display_name\": \"Model Name\",\n \"advanced\": False,\n \"required\": False,\n \"options\": [\n \"gpt-4-turbo-preview\",\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 },\n \"openai_api_base\": {\n \"display_name\": \"OpenAI API Base\",\n \"advanced\": False,\n \"required\": False,\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 \"advanced\": False,\n \"required\": False,\n \"password\": True,\n },\n \"temperature\": {\n \"display_name\": \"Temperature\",\n \"advanced\": False,\n \"required\": False,\n \"value\": 0.7,\n },\n \"stream\": {\n \"display_name\": \"Stream\",\n \"info\": \"Stream the response from the model.\",\n },\n }\n\n def build(\n self,\n input_value: Text,\n max_tokens: Optional[int] = 256,\n model_kwargs: NestedDict = {},\n model_name: str = \"gpt-4-1106-preview\",\n openai_api_base: Optional[str] = None,\n openai_api_key: Optional[str] = None,\n temperature: float = 0.7,\n stream: bool = False,\n ) -> Text:\n if not openai_api_base:\n openai_api_base = \"https://api.openai.com/v1\"\n if openai_api_key:\n secret_key = SecretStr(openai_api_key)\n else:\n secret_key = None\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=secret_key,\n temperature=temperature,\n )\n\n return self.get_result(output=output, stream=stream, input_value=input_value)\n",
+ "value": "from typing import Optional\n\nfrom langchain_openai import ChatOpenAI\n\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's models.\"\n icon = \"OpenAI\"\n\n def build_config(self):\n return {\n \"input_value\": {\"display_name\": \"Input\"},\n \"max_tokens\": {\n \"display_name\": \"Max Tokens\",\n \"advanced\": False,\n \"required\": False,\n },\n \"model_kwargs\": {\n \"display_name\": \"Model Kwargs\",\n \"advanced\": True,\n \"required\": False,\n },\n \"model_name\": {\n \"display_name\": \"Model Name\",\n \"advanced\": False,\n \"required\": False,\n \"options\": [\n \"gpt-4-turbo-preview\",\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 },\n \"openai_api_base\": {\n \"display_name\": \"OpenAI API Base\",\n \"advanced\": False,\n \"required\": False,\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 \"advanced\": False,\n \"required\": False,\n \"password\": True,\n },\n \"temperature\": {\n \"display_name\": \"Temperature\",\n \"advanced\": False,\n \"required\": False,\n \"value\": 0.7,\n },\n \"stream\": {\n \"display_name\": \"Stream\",\n \"info\": \"Stream the response from the model.\",\n },\n }\n\n def build(\n self,\n input_value: Text,\n max_tokens: Optional[int] = 256,\n model_kwargs: NestedDict = {},\n model_name: str = \"gpt-4-1106-preview\",\n openai_api_base: Optional[str] = None,\n openai_api_key: Optional[str] = None,\n temperature: float = 0.7,\n stream: bool = False,\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_result(output=output, stream=stream, input_value=input_value)\n",
"fileTypes": [],
"file_path": "",
"password": false,
"name": "code",
- "advanced": false,
+ "advanced": true,
"dynamic": true,
"info": "",
"title_case": false
@@ -910,16 +910,17 @@
"title_case": false,
"input_types": [
"Text"
- ]
+ ],
+ "value": ""
},
"stream": {
"type": "bool",
- "required": true,
+ "required": false,
"placeholder": "",
"list": false,
"show": true,
"multiline": false,
- "value": true,
+ "value": false,
"fileTypes": [],
"file_path": "",
"password": false,
@@ -959,10 +960,10 @@
"icon": "OpenAI",
"base_classes": [
"object",
- "Text",
- "str"
+ "str",
+ "Text"
],
- "display_name": "OpenAI Model",
+ "display_name": "OpenAI",
"documentation": "",
"custom_fields": {
"input_value": null,
@@ -980,30 +981,30 @@
"field_formatters": {},
"frozen": false,
"field_order": [],
- "beta": true
+ "beta": false
},
- "id": "OpenAIModel-IRzsd"
+ "id": "OpenAIModel-gaDoA"
},
"selected": false,
"width": 384,
- "height": 847,
+ "height": 845,
"positionAbsolute": {
- "x": 1735.1051821296949,
- "y": 246.4955882724468
+ "x": 1726.999321719415,
+ "y": 349.13963064653507
},
"dragging": false
}
],
"edges": [
{
- "source": "ChatInput-WcFzs",
- "sourceHandle": "{œbaseClassesœ:[œobjectœ,œTextœ,œRecordœ,œstrœ],œdataTypeœ:œChatInputœ,œidœ:œChatInput-WcFzsœ}",
- "target": "Prompt-QtWOn",
- "targetHandle": "{œfieldNameœ:œrequestœ,œidœ:œPrompt-QtWOnœ,œinputTypesœ:[œDocumentœ,œBaseOutputParserœ,œTextœ,œRecordœ],œtypeœ:œstrœ}",
+ "source": "ChatInput-5Jp60",
+ "sourceHandle": "{œbaseClassesœ:[œobjectœ,œTextœ,œRecordœ,œstrœ],œdataTypeœ:œChatInputœ,œidœ:œChatInput-5Jp60œ}",
+ "target": "Prompt-adTHU",
+ "targetHandle": "{œfieldNameœ:œrequestœ,œidœ:œPrompt-adTHUœ,œinputTypesœ:[œDocumentœ,œBaseOutputParserœ,œTextœ,œRecordœ],œtypeœ:œstrœ}",
"data": {
"targetHandle": {
"fieldName": "request",
- "id": "Prompt-QtWOn",
+ "id": "Prompt-adTHU",
"inputTypes": [
"Document",
"BaseOutputParser",
@@ -1020,24 +1021,24 @@
"str"
],
"dataType": "ChatInput",
- "id": "ChatInput-WcFzs"
+ "id": "ChatInput-5Jp60"
}
},
"style": {
"stroke": "#555"
},
- "className": "stroke-foreground stroke-connection",
- "id": "reactflow__edge-ChatInput-WcFzs{œbaseClassesœ:[œobjectœ,œTextœ,œRecordœ,œstrœ],œdataTypeœ:œChatInputœ,œidœ:œChatInput-WcFzsœ}-Prompt-QtWOn{œfieldNameœ:œrequestœ,œidœ:œPrompt-QtWOnœ,œinputTypesœ:[œDocumentœ,œBaseOutputParserœ,œTextœ,œRecordœ],œtypeœ:œstrœ}"
+ "className": "stroke-gray-900 stroke-connection",
+ "id": "reactflow__edge-ChatInput-5Jp60{œbaseClassesœ:[œobjectœ,œTextœ,œRecordœ,œstrœ],œdataTypeœ:œChatInputœ,œidœ:œChatInput-5Jp60œ}-Prompt-adTHU{œfieldNameœ:œrequestœ,œidœ:œPrompt-adTHUœ,œinputTypesœ:[œDocumentœ,œBaseOutputParserœ,œTextœ,œRecordœ],œtypeœ:œstrœ}"
},
{
- "source": "Prompt-QtWOn",
- "sourceHandle": "{œbaseClassesœ:[œobjectœ,œTextœ,œstrœ],œdataTypeœ:œPromptœ,œidœ:œPrompt-QtWOnœ}",
- "target": "TextOutput-fTp5e",
- "targetHandle": "{œfieldNameœ:œinput_valueœ,œidœ:œTextOutput-fTp5eœ,œinputTypesœ:[œTextœ],œtypeœ:œstrœ}",
+ "source": "Prompt-adTHU",
+ "sourceHandle": "{œbaseClassesœ:[œobjectœ,œTextœ,œstrœ],œdataTypeœ:œPromptœ,œidœ:œPrompt-adTHUœ}",
+ "target": "TextOutput-A6XkD",
+ "targetHandle": "{œfieldNameœ:œinput_valueœ,œidœ:œTextOutput-A6XkDœ,œinputTypesœ:[œTextœ],œtypeœ:œstrœ}",
"data": {
"targetHandle": {
"fieldName": "input_value",
- "id": "TextOutput-fTp5e",
+ "id": "TextOutput-A6XkD",
"inputTypes": [
"Text"
],
@@ -1050,24 +1051,90 @@
"str"
],
"dataType": "Prompt",
- "id": "Prompt-QtWOn"
+ "id": "Prompt-adTHU"
}
},
"style": {
"stroke": "#555"
},
- "className": "stroke-foreground stroke-connection",
- "id": "reactflow__edge-Prompt-QtWOn{œbaseClassesœ:[œobjectœ,œTextœ,œstrœ],œdataTypeœ:œPromptœ,œidœ:œPrompt-QtWOnœ}-TextOutput-fTp5e{œfieldNameœ:œinput_valueœ,œidœ:œTextOutput-fTp5eœ,œinputTypesœ:[œTextœ],œtypeœ:œstrœ}"
+ "className": "stroke-gray-900 stroke-connection",
+ "id": "reactflow__edge-Prompt-adTHU{œbaseClassesœ:[œobjectœ,œTextœ,œstrœ],œdataTypeœ:œPromptœ,œidœ:œPrompt-adTHUœ}-TextOutput-A6XkD{œfieldNameœ:œinput_valueœ,œidœ:œTextOutput-A6XkDœ,œinputTypesœ:[œTextœ],œtypeœ:œstrœ}"
},
{
- "source": "TextOutput-fTp5e",
- "sourceHandle": "{œbaseClassesœ:[œobjectœ,œTextœ,œstrœ],œdataTypeœ:œTextOutputœ,œidœ:œTextOutput-fTp5eœ}",
- "target": "OpenAIModel-IRzsd",
- "targetHandle": "{œfieldNameœ:œinput_valueœ,œidœ:œOpenAIModel-IRzsdœ,œinputTypesœ:[œTextœ],œtypeœ:œstrœ}",
+ "source": "TextInput-SncwS",
+ "sourceHandle": "{œbaseClassesœ:[œobjectœ,œTextœ,œstrœ],œdataTypeœ:œTextInputœ,œidœ:œTextInput-SncwSœ}",
+ "target": "Prompt-adTHU",
+ "targetHandle": "{œfieldNameœ:œtopic_2œ,œidœ:œPrompt-adTHUœ,œinputTypesœ:[œDocumentœ,œBaseOutputParserœ,œTextœ,œRecordœ],œtypeœ:œstrœ}",
+ "data": {
+ "targetHandle": {
+ "fieldName": "topic_2",
+ "id": "Prompt-adTHU",
+ "inputTypes": [
+ "Document",
+ "BaseOutputParser",
+ "Text",
+ "Record"
+ ],
+ "type": "str"
+ },
+ "sourceHandle": {
+ "baseClasses": [
+ "object",
+ "Text",
+ "str"
+ ],
+ "dataType": "TextInput",
+ "id": "TextInput-SncwS"
+ }
+ },
+ "style": {
+ "stroke": "#555"
+ },
+ "className": "stroke-gray-900 stroke-connection",
+ "id": "reactflow__edge-TextInput-SncwS{œbaseClassesœ:[œobjectœ,œTextœ,œstrœ],œdataTypeœ:œTextInputœ,œidœ:œTextInput-SncwSœ}-Prompt-adTHU{œfieldNameœ:œtopic_2œ,œidœ:œPrompt-adTHUœ,œinputTypesœ:[œDocumentœ,œBaseOutputParserœ,œTextœ,œRecordœ],œtypeœ:œstrœ}"
+ },
+ {
+ "source": "TextInput-fha43",
+ "sourceHandle": "{œbaseClassesœ:[œobjectœ,œTextœ,œstrœ],œdataTypeœ:œTextInputœ,œidœ:œTextInput-fha43œ}",
+ "target": "Prompt-adTHU",
+ "targetHandle": "{œfieldNameœ:œtopic_1œ,œidœ:œPrompt-adTHUœ,œinputTypesœ:[œDocumentœ,œBaseOutputParserœ,œTextœ,œRecordœ],œtypeœ:œstrœ}",
+ "data": {
+ "targetHandle": {
+ "fieldName": "topic_1",
+ "id": "Prompt-adTHU",
+ "inputTypes": [
+ "Document",
+ "BaseOutputParser",
+ "Text",
+ "Record"
+ ],
+ "type": "str"
+ },
+ "sourceHandle": {
+ "baseClasses": [
+ "object",
+ "Text",
+ "str"
+ ],
+ "dataType": "TextInput",
+ "id": "TextInput-fha43"
+ }
+ },
+ "style": {
+ "stroke": "#555"
+ },
+ "className": "stroke-gray-900 stroke-connection",
+ "id": "reactflow__edge-TextInput-fha43{œbaseClassesœ:[œobjectœ,œTextœ,œstrœ],œdataTypeœ:œTextInputœ,œidœ:œTextInput-fha43œ}-Prompt-adTHU{œfieldNameœ:œtopic_1œ,œidœ:œPrompt-adTHUœ,œinputTypesœ:[œDocumentœ,œBaseOutputParserœ,œTextœ,œRecordœ],œtypeœ:œstrœ}"
+ },
+ {
+ "source": "TextOutput-A6XkD",
+ "sourceHandle": "{œbaseClassesœ:[œobjectœ,œTextœ,œstrœ],œdataTypeœ:œTextOutputœ,œidœ:œTextOutput-A6XkDœ}",
+ "target": "OpenAIModel-gaDoA",
+ "targetHandle": "{œfieldNameœ:œinput_valueœ,œidœ:œOpenAIModel-gaDoAœ,œinputTypesœ:[œTextœ],œtypeœ:œstrœ}",
"data": {
"targetHandle": {
"fieldName": "input_value",
- "id": "OpenAIModel-IRzsd",
+ "id": "OpenAIModel-gaDoA",
"inputTypes": [
"Text"
],
@@ -1080,24 +1147,24 @@
"str"
],
"dataType": "TextOutput",
- "id": "TextOutput-fTp5e"
+ "id": "TextOutput-A6XkD"
}
},
"style": {
"stroke": "#555"
},
"className": "stroke-foreground stroke-connection",
- "id": "reactflow__edge-TextOutput-fTp5e{œbaseClassesœ:[œobjectœ,œTextœ,œstrœ],œdataTypeœ:œTextOutputœ,œidœ:œTextOutput-fTp5eœ}-OpenAIModel-IRzsd{œfieldNameœ:œinput_valueœ,œidœ:œOpenAIModel-IRzsdœ,œinputTypesœ:[œTextœ],œtypeœ:œstrœ}"
+ "id": "reactflow__edge-TextOutput-A6XkD{œbaseClassesœ:[œobjectœ,œTextœ,œstrœ],œdataTypeœ:œTextOutputœ,œidœ:œTextOutput-A6XkDœ}-OpenAIModel-gaDoA{œfieldNameœ:œinput_valueœ,œidœ:œOpenAIModel-gaDoAœ,œinputTypesœ:[œTextœ],œtypeœ:œstrœ}"
},
{
- "source": "OpenAIModel-IRzsd",
- "sourceHandle": "{œbaseClassesœ:[œobjectœ,œTextœ,œstrœ],œdataTypeœ:œOpenAIModelœ,œidœ:œOpenAIModel-IRzsdœ}",
- "target": "ChatOutput-AVN8s",
- "targetHandle": "{œfieldNameœ:œinput_valueœ,œidœ:œChatOutput-AVN8sœ,œinputTypesœ:[œTextœ],œtypeœ:œstrœ}",
+ "source": "OpenAIModel-gaDoA",
+ "sourceHandle": "{œbaseClassesœ:[œobjectœ,œstrœ,œTextœ],œdataTypeœ:œOpenAIModelœ,œidœ:œOpenAIModel-gaDoAœ}",
+ "target": "ChatOutput-HgY4l",
+ "targetHandle": "{œfieldNameœ:œinput_valueœ,œidœ:œChatOutput-HgY4lœ,œinputTypesœ:[œTextœ],œtypeœ:œstrœ}",
"data": {
"targetHandle": {
"fieldName": "input_value",
- "id": "ChatOutput-AVN8s",
+ "id": "ChatOutput-HgY4l",
"inputTypes": [
"Text"
],
@@ -1106,94 +1173,28 @@
"sourceHandle": {
"baseClasses": [
"object",
- "Text",
- "str"
+ "str",
+ "Text"
],
"dataType": "OpenAIModel",
- "id": "OpenAIModel-IRzsd"
+ "id": "OpenAIModel-gaDoA"
}
},
"style": {
"stroke": "#555"
},
"className": "stroke-foreground stroke-connection",
- "id": "reactflow__edge-OpenAIModel-IRzsd{œbaseClassesœ:[œobjectœ,œTextœ,œstrœ],œdataTypeœ:œOpenAIModelœ,œidœ:œOpenAIModel-IRzsdœ}-ChatOutput-AVN8s{œfieldNameœ:œinput_valueœ,œidœ:œChatOutput-AVN8sœ,œinputTypesœ:[œTextœ],œtypeœ:œstrœ}"
- },
- {
- "source": "TextInput-l4zQt",
- "sourceHandle": "{œbaseClassesœ:[œobjectœ,œTextœ,œstrœ],œdataTypeœ:œTextInputœ,œidœ:œTextInput-l4zQtœ}",
- "target": "Prompt-QtWOn",
- "targetHandle": "{œfieldNameœ:œtopic_2œ,œidœ:œPrompt-QtWOnœ,œinputTypesœ:[œDocumentœ,œBaseOutputParserœ,œTextœ,œRecordœ],œtypeœ:œstrœ}",
- "data": {
- "targetHandle": {
- "fieldName": "topic_2",
- "id": "Prompt-QtWOn",
- "inputTypes": [
- "Document",
- "BaseOutputParser",
- "Text",
- "Record"
- ],
- "type": "str"
- },
- "sourceHandle": {
- "baseClasses": [
- "object",
- "Text",
- "str"
- ],
- "dataType": "TextInput",
- "id": "TextInput-l4zQt"
- }
- },
- "style": {
- "stroke": "#555"
- },
- "className": "stroke-foreground stroke-connection",
- "id": "reactflow__edge-TextInput-l4zQt{œbaseClassesœ:[œobjectœ,œTextœ,œstrœ],œdataTypeœ:œTextInputœ,œidœ:œTextInput-l4zQtœ}-Prompt-QtWOn{œfieldNameœ:œtopic_2œ,œidœ:œPrompt-QtWOnœ,œinputTypesœ:[œDocumentœ,œBaseOutputParserœ,œTextœ,œRecordœ],œtypeœ:œstrœ}"
- },
- {
- "source": "TextInput-xUQ9w",
- "sourceHandle": "{œbaseClassesœ:[œobjectœ,œTextœ,œstrœ],œdataTypeœ:œTextInputœ,œidœ:œTextInput-xUQ9wœ}",
- "target": "Prompt-QtWOn",
- "targetHandle": "{œfieldNameœ:œtopic_1œ,œidœ:œPrompt-QtWOnœ,œinputTypesœ:[œDocumentœ,œBaseOutputParserœ,œTextœ,œRecordœ],œtypeœ:œstrœ}",
- "data": {
- "targetHandle": {
- "fieldName": "topic_1",
- "id": "Prompt-QtWOn",
- "inputTypes": [
- "Document",
- "BaseOutputParser",
- "Text",
- "Record"
- ],
- "type": "str"
- },
- "sourceHandle": {
- "baseClasses": [
- "object",
- "Text",
- "str"
- ],
- "dataType": "TextInput",
- "id": "TextInput-xUQ9w"
- }
- },
- "style": {
- "stroke": "#555"
- },
- "className": "stroke-foreground stroke-connection",
- "id": "reactflow__edge-TextInput-xUQ9w{œbaseClassesœ:[œobjectœ,œTextœ,œstrœ],œdataTypeœ:œTextInputœ,œidœ:œTextInput-xUQ9wœ}-Prompt-QtWOn{œfieldNameœ:œtopic_1œ,œidœ:œPrompt-QtWOnœ,œinputTypesœ:[œDocumentœ,œBaseOutputParserœ,œTextœ,œRecordœ],œtypeœ:œstrœ}"
+ "id": "reactflow__edge-OpenAIModel-gaDoA{œbaseClassesœ:[œobjectœ,œstrœ,œTextœ],œdataTypeœ:œOpenAIModelœ,œidœ:œOpenAIModel-gaDoAœ}-ChatOutput-HgY4l{œfieldNameœ:œinput_valueœ,œidœ:œChatOutput-HgY4lœ,œinputTypesœ:[œTextœ],œtypeœ:œstrœ}"
}
],
"viewport": {
- "x": 81.87154098468557,
- "y": 266.8627952720353,
- "zoom": 0.315125847895746
+ "x": -259.90018287199223,
+ "y": 115.26167092636672,
+ "zoom": 0.4123667743050418
}
},
"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.",
"name": "Basic Prompting",
- "last_tested_version": "0.6.8",
+ "last_tested_version": "1.0.0a0",
"is_component": false
}
\ No newline at end of file
diff --git a/src/backend/langflow/initial_setup/starter_projects/Langflow Data Ingestion.json b/src/backend/base/langflow/initial_setup/starter_projects/Langflow Data Ingestion.json
similarity index 78%
rename from src/backend/langflow/initial_setup/starter_projects/Langflow Data Ingestion.json
rename to src/backend/base/langflow/initial_setup/starter_projects/Langflow Data Ingestion.json
index e40ffda57..7ad9377a0 100644
--- a/src/backend/langflow/initial_setup/starter_projects/Langflow Data Ingestion.json
+++ b/src/backend/base/langflow/initial_setup/starter_projects/Langflow Data Ingestion.json
@@ -80,7 +80,7 @@
"list": false,
"show": true,
"multiline": true,
- "value": "from typing import Optional\n\nfrom langchain.text_splitter import RecursiveCharacterTextSplitter\nfrom langchain_core.documents import Document\n\nfrom langflow import CustomComponent\nfrom langflow.schema import Record\nfrom langflow.utils.util import build_loader_repr_from_documents\n\n\nclass RecursiveCharacterTextSplitterComponent(CustomComponent):\n display_name: str = \"Recursive Character Text Splitter\"\n description: str = \"Split text into chunks of a specified length.\"\n documentation: str = (\n \"https://docs.langflow.org/components/text-splitters#recursivecharactertextsplitter\"\n )\n\n def build_config(self):\n return {\n \"inputs\": {\n \"display_name\": \"Input\",\n \"info\": \"The texts to split.\",\n \"input_types\": [\"Document\", \"Record\"],\n },\n \"separators\": {\n \"display_name\": \"Separators\",\n \"info\": 'The characters to split on.\\nIf left empty defaults to [\"\\\\n\\\\n\", \"\\\\n\", \" \", \"\"].',\n \"is_list\": True,\n },\n \"chunk_size\": {\n \"display_name\": \"Chunk Size\",\n \"info\": \"The maximum length of each chunk.\",\n \"field_type\": \"int\",\n \"value\": 1000,\n },\n \"chunk_overlap\": {\n \"display_name\": \"Chunk Overlap\",\n \"info\": \"The amount of overlap between chunks.\",\n \"field_type\": \"int\",\n \"value\": 200,\n },\n \"code\": {\"show\": False},\n }\n\n def build(\n self,\n inputs: list[Document],\n separators: Optional[list[str]] = None,\n chunk_size: Optional[int] = 1000,\n chunk_overlap: Optional[int] = 200,\n ) -> list[Record]:\n \"\"\"\n Split text into chunks of a specified length.\n\n Args:\n separators (list[str]): The characters to split on.\n chunk_size (int): The maximum length of each chunk.\n chunk_overlap (int): The amount of overlap between chunks.\n length_function (function): The function to use to calculate the length of the text.\n\n Returns:\n list[str]: The chunks of text.\n \"\"\"\n\n if separators == \"\":\n separators = None\n elif separators:\n # check if the separators list has escaped characters\n # if there are escaped characters, unescape them\n separators = [x.encode().decode(\"unicode-escape\") for x in separators]\n\n # Make sure chunk_size and chunk_overlap are ints\n if isinstance(chunk_size, str):\n chunk_size = int(chunk_size)\n if isinstance(chunk_overlap, str):\n chunk_overlap = int(chunk_overlap)\n splitter = RecursiveCharacterTextSplitter(\n separators=separators,\n chunk_size=chunk_size,\n chunk_overlap=chunk_overlap,\n )\n documents = []\n for _input in inputs:\n if isinstance(_input, Record):\n documents.append(_input.to_lc_document())\n else:\n documents.append(_input)\n docs = splitter.split_documents(documents)\n self.repr_value = build_loader_repr_from_documents(docs)\n return self.to_records(docs)\n",
+ "value": "from typing import Optional\n\nfrom langchain.text_splitter import RecursiveCharacterTextSplitter\nfrom langchain_core.documents import Document\n\nfrom langflow.custom import CustomComponent\nfrom langflow.schema import Record\nfrom langflow.utils.util import build_loader_repr_from_documents\n\n\nclass RecursiveCharacterTextSplitterComponent(CustomComponent):\n display_name: str = \"Recursive Character Text Splitter\"\n description: str = \"Split text into chunks of a specified length.\"\n documentation: str = (\n \"https://docs.langflow.org/components/text-splitters#recursivecharactertextsplitter\"\n )\n\n def build_config(self):\n return {\n \"inputs\": {\n \"display_name\": \"Input\",\n \"info\": \"The texts to split.\",\n \"input_types\": [\"Document\", \"Record\"],\n },\n \"separators\": {\n \"display_name\": \"Separators\",\n \"info\": 'The characters to split on.\\nIf left empty defaults to [\"\\\\n\\\\n\", \"\\\\n\", \" \", \"\"].',\n \"is_list\": True,\n },\n \"chunk_size\": {\n \"display_name\": \"Chunk Size\",\n \"info\": \"The maximum length of each chunk.\",\n \"field_type\": \"int\",\n \"value\": 1000,\n },\n \"chunk_overlap\": {\n \"display_name\": \"Chunk Overlap\",\n \"info\": \"The amount of overlap between chunks.\",\n \"field_type\": \"int\",\n \"value\": 200,\n },\n \"code\": {\"show\": False},\n }\n\n def build(\n self,\n inputs: list[Document],\n separators: Optional[list[str]] = None,\n chunk_size: Optional[int] = 1000,\n chunk_overlap: Optional[int] = 200,\n ) -> list[Record]:\n \"\"\"\n Split text into chunks of a specified length.\n\n Args:\n separators (list[str]): The characters to split on.\n chunk_size (int): The maximum length of each chunk.\n chunk_overlap (int): The amount of overlap between chunks.\n length_function (function): The function to use to calculate the length of the text.\n\n Returns:\n list[str]: The chunks of text.\n \"\"\"\n\n if separators == \"\":\n separators = None\n elif separators:\n # check if the separators list has escaped characters\n # if there are escaped characters, unescape them\n separators = [x.encode().decode(\"unicode-escape\") for x in separators]\n\n # Make sure chunk_size and chunk_overlap are ints\n if isinstance(chunk_size, str):\n chunk_size = int(chunk_size)\n if isinstance(chunk_overlap, str):\n chunk_overlap = int(chunk_overlap)\n splitter = RecursiveCharacterTextSplitter(\n separators=separators,\n chunk_size=chunk_size,\n chunk_overlap=chunk_overlap,\n )\n documents = []\n for _input in inputs:\n if isinstance(_input, Record):\n documents.append(_input.to_lc_document())\n else:\n documents.append(_input)\n docs = splitter.split_documents(documents)\n self.repr_value = build_loader_repr_from_documents(docs)\n return self.to_records(docs)\n",
"fileTypes": [],
"file_path": "",
"password": false,
@@ -293,7 +293,7 @@
"list": false,
"show": true,
"multiline": true,
- "value": "from typing import List, Optional, Union\n\nimport chromadb # type: ignore\nfrom langchain.embeddings.base import Embeddings\nfrom langchain.schema import BaseRetriever\nfrom langchain_community.vectorstores import VectorStore\nfrom langchain_community.vectorstores.chroma import Chroma\n\nfrom langflow import CustomComponent\nfrom langflow.schema.schema import Record\n\n\nclass ChromaComponent(CustomComponent):\n \"\"\"\n A custom component for implementing a Vector Store using Chroma.\n \"\"\"\n\n display_name: str = \"Chroma\"\n description: str = \"Implementation of Vector Store using Chroma\"\n documentation = \"https://python.langchain.com/docs/integrations/vectorstores/chroma\"\n beta: bool = True\n icon = \"Chroma\"\n\n def build_config(self):\n \"\"\"\n Builds the configuration for the component.\n\n Returns:\n - dict: A dictionary containing the configuration options for the component.\n \"\"\"\n return {\n \"collection_name\": {\"display_name\": \"Collection Name\", \"value\": \"langflow\"},\n \"index_directory\": {\"display_name\": \"Persist Directory\"},\n \"code\": {\"advanced\": True, \"display_name\": \"Code\"},\n \"inputs\": {\"display_name\": \"Input\", \"input_types\": [\"Document\", \"Record\"]},\n \"embedding\": {\"display_name\": \"Embedding\"},\n \"chroma_server_cors_allow_origins\": {\n \"display_name\": \"Server CORS Allow Origins\",\n \"advanced\": True,\n },\n \"chroma_server_host\": {\"display_name\": \"Server Host\", \"advanced\": True},\n \"chroma_server_port\": {\"display_name\": \"Server Port\", \"advanced\": True},\n \"chroma_server_grpc_port\": {\n \"display_name\": \"Server gRPC Port\",\n \"advanced\": True,\n },\n \"chroma_server_ssl_enabled\": {\n \"display_name\": \"Server SSL Enabled\",\n \"advanced\": True,\n },\n }\n\n def build(\n self,\n collection_name: str,\n embedding: Embeddings,\n chroma_server_ssl_enabled: bool,\n index_directory: Optional[str] = None,\n inputs: Optional[List[Record]] = None,\n chroma_server_cors_allow_origins: Optional[str] = None,\n chroma_server_host: Optional[str] = None,\n chroma_server_port: Optional[int] = None,\n chroma_server_grpc_port: Optional[int] = None,\n ) -> Union[VectorStore, BaseRetriever]:\n \"\"\"\n Builds the Vector Store or BaseRetriever object.\n\n Args:\n - collection_name (str): The name of the collection.\n - index_directory (Optional[str]): The directory to persist the Vector Store to.\n - chroma_server_ssl_enabled (bool): Whether to enable SSL for the Chroma server.\n - embedding (Optional[Embeddings]): The embeddings to use for the Vector Store.\n - documents (Optional[Document]): The documents to use for the Vector Store.\n - chroma_server_cors_allow_origins (Optional[str]): The CORS allow origins for the Chroma server.\n - chroma_server_host (Optional[str]): The host for the Chroma server.\n - chroma_server_port (Optional[int]): The port for the Chroma server.\n - chroma_server_grpc_port (Optional[int]): The gRPC port for the Chroma server.\n\n Returns:\n - Union[VectorStore, BaseRetriever]: The Vector Store or BaseRetriever object.\n \"\"\"\n\n # Chroma settings\n chroma_settings = None\n\n if chroma_server_host is not None:\n chroma_settings = chromadb.config.Settings(\n chroma_server_cors_allow_origins=chroma_server_cors_allow_origins\n or None,\n chroma_server_host=chroma_server_host,\n chroma_server_port=chroma_server_port or None,\n chroma_server_grpc_port=chroma_server_grpc_port or None,\n chroma_server_ssl_enabled=chroma_server_ssl_enabled,\n )\n\n # If documents, then we need to create a Chroma instance using .from_documents\n\n # Check index_directory and expand it if it is a relative path\n if index_directory is not None:\n index_directory = self.resolve_path(index_directory)\n\n documents = []\n for _input in inputs:\n if isinstance(_input, Record):\n documents.append(_input.to_lc_document())\n else:\n documents.append(_input)\n if documents is not None and embedding is not None:\n if len(documents) == 0:\n raise ValueError(\n \"If documents are provided, there must be at least one document.\"\n )\n chroma = Chroma.from_documents(\n documents=documents, # type: ignore\n persist_directory=index_directory,\n collection_name=collection_name,\n embedding=embedding,\n client_settings=chroma_settings,\n )\n else:\n chroma = Chroma(\n persist_directory=index_directory,\n client_settings=chroma_settings,\n embedding_function=embedding,\n )\n return chroma\n",
+ "value": "from typing import List, Optional, Union\n\nimport chromadb # type: ignore\nfrom langchain.embeddings.base import Embeddings\nfrom langchain.schema import BaseRetriever\nfrom langchain_community.vectorstores import VectorStore\nfrom langchain_community.vectorstores.chroma import Chroma\n\nfrom langflow.custom import CustomComponent\nfrom langflow.schema.schema import Record\n\n\nclass ChromaComponent(CustomComponent):\n \"\"\"\n A custom component for implementing a Vector Store using Chroma.\n \"\"\"\n\n display_name: str = \"Chroma\"\n description: str = \"Implementation of Vector Store using Chroma\"\n documentation = \"https://python.langchain.com/docs/integrations/vectorstores/chroma\"\n beta: bool = True\n icon = \"Chroma\"\n\n def build_config(self):\n \"\"\"\n Builds the configuration for the component.\n\n Returns:\n - dict: A dictionary containing the configuration options for the component.\n \"\"\"\n return {\n \"collection_name\": {\"display_name\": \"Collection Name\", \"value\": \"langflow\"},\n \"index_directory\": {\"display_name\": \"Persist Directory\"},\n \"code\": {\"advanced\": True, \"display_name\": \"Code\"},\n \"inputs\": {\"display_name\": \"Input\", \"input_types\": [\"Document\", \"Record\"]},\n \"embedding\": {\"display_name\": \"Embedding\"},\n \"chroma_server_cors_allow_origins\": {\n \"display_name\": \"Server CORS Allow Origins\",\n \"advanced\": True,\n },\n \"chroma_server_host\": {\"display_name\": \"Server Host\", \"advanced\": True},\n \"chroma_server_port\": {\"display_name\": \"Server Port\", \"advanced\": True},\n \"chroma_server_grpc_port\": {\n \"display_name\": \"Server gRPC Port\",\n \"advanced\": True,\n },\n \"chroma_server_ssl_enabled\": {\n \"display_name\": \"Server SSL Enabled\",\n \"advanced\": True,\n },\n }\n\n def build(\n self,\n collection_name: str,\n embedding: Embeddings,\n chroma_server_ssl_enabled: bool,\n index_directory: Optional[str] = None,\n inputs: Optional[List[Record]] = None,\n chroma_server_cors_allow_origins: Optional[str] = None,\n chroma_server_host: Optional[str] = None,\n chroma_server_port: Optional[int] = None,\n chroma_server_grpc_port: Optional[int] = None,\n ) -> Union[VectorStore, BaseRetriever]:\n \"\"\"\n Builds the Vector Store or BaseRetriever object.\n\n Args:\n - collection_name (str): The name of the collection.\n - index_directory (Optional[str]): The directory to persist the Vector Store to.\n - chroma_server_ssl_enabled (bool): Whether to enable SSL for the Chroma server.\n - embedding (Optional[Embeddings]): The embeddings to use for the Vector Store.\n - documents (Optional[Document]): The documents to use for the Vector Store.\n - chroma_server_cors_allow_origins (Optional[str]): The CORS allow origins for the Chroma server.\n - chroma_server_host (Optional[str]): The host for the Chroma server.\n - chroma_server_port (Optional[int]): The port for the Chroma server.\n - chroma_server_grpc_port (Optional[int]): The gRPC port for the Chroma server.\n\n Returns:\n - Union[VectorStore, BaseRetriever]: The Vector Store or BaseRetriever object.\n \"\"\"\n\n # Chroma settings\n chroma_settings = None\n\n if chroma_server_host is not None:\n chroma_settings = chromadb.config.Settings(\n chroma_server_cors_allow_origins=chroma_server_cors_allow_origins\n or None,\n chroma_server_host=chroma_server_host,\n chroma_server_port=chroma_server_port or None,\n chroma_server_grpc_port=chroma_server_grpc_port or None,\n chroma_server_ssl_enabled=chroma_server_ssl_enabled,\n )\n\n # If documents, then we need to create a Chroma instance using .from_documents\n\n # Check index_directory and expand it if it is a relative path\n if index_directory is not None:\n index_directory = self.resolve_path(index_directory)\n\n documents = []\n for _input in inputs:\n if isinstance(_input, Record):\n documents.append(_input.to_lc_document())\n else:\n documents.append(_input)\n if documents is not None and embedding is not None:\n if len(documents) == 0:\n raise ValueError(\n \"If documents are provided, there must be at least one document.\"\n )\n chroma = Chroma.from_documents(\n documents=documents, # type: ignore\n persist_directory=index_directory,\n collection_name=collection_name,\n embedding=embedding,\n client_settings=chroma_settings,\n )\n else:\n chroma = Chroma(\n persist_directory=index_directory,\n client_settings=chroma_settings,\n embedding_function=embedding,\n )\n return chroma\n",
"fileTypes": [],
"file_path": "",
"password": false,
@@ -464,7 +464,7 @@
"list": false,
"show": true,
"multiline": true,
- "value": "from typing import Any, Callable, Dict, List, Optional, Union\n\nfrom langchain_openai.embeddings.base import OpenAIEmbeddings\nfrom langflow import CustomComponent\nfrom langflow.field_typing import NestedDict\nfrom pydantic.v1.types import SecretStr\n\n\nclass OpenAIEmbeddingsComponent(CustomComponent):\n display_name = \"OpenAIEmbeddings\"\n description = \"OpenAI embedding models\"\n\n def build_config(self):\n return {\n \"allowed_special\": {\n \"display_name\": \"Allowed Special\",\n \"advanced\": True,\n \"field_type\": \"str\",\n \"is_list\": True,\n },\n \"default_headers\": {\n \"display_name\": \"Default Headers\",\n \"advanced\": True,\n \"field_type\": \"dict\",\n },\n \"default_query\": {\n \"display_name\": \"Default Query\",\n \"advanced\": True,\n \"field_type\": \"NestedDict\",\n },\n \"disallowed_special\": {\n \"display_name\": \"Disallowed Special\",\n \"advanced\": True,\n \"field_type\": \"str\",\n \"is_list\": True,\n },\n \"chunk_size\": {\"display_name\": \"Chunk Size\", \"advanced\": True},\n \"client\": {\"display_name\": \"Client\", \"advanced\": True},\n \"deployment\": {\"display_name\": \"Deployment\", \"advanced\": True},\n \"embedding_ctx_length\": {\n \"display_name\": \"Embedding Context Length\",\n \"advanced\": True,\n },\n \"max_retries\": {\"display_name\": \"Max Retries\", \"advanced\": True},\n \"model\": {\n \"display_name\": \"Model\",\n \"advanced\": False,\n \"options\": [\"text-embedding-3-small\", \"text-embedding-3-large\", \"text-embedding-ada-002\"],\n },\n \"model_kwargs\": {\"display_name\": \"Model Kwargs\", \"advanced\": True},\n \"openai_api_base\": {\"display_name\": \"OpenAI API Base\", \"password\": True, \"advanced\": True},\n \"openai_api_key\": {\"display_name\": \"OpenAI API Key\", \"password\": True},\n \"openai_api_type\": {\"display_name\": \"OpenAI API Type\", \"advanced\": True, \"password\": True},\n \"openai_api_version\": {\n \"display_name\": \"OpenAI API Version\",\n \"advanced\": True,\n },\n \"openai_organization\": {\n \"display_name\": \"OpenAI Organization\",\n \"advanced\": True,\n },\n \"openai_proxy\": {\"display_name\": \"OpenAI Proxy\", \"advanced\": True},\n \"request_timeout\": {\"display_name\": \"Request Timeout\", \"advanced\": True},\n \"show_progress_bar\": {\n \"display_name\": \"Show Progress Bar\",\n \"advanced\": True,\n },\n \"skip_empty\": {\"display_name\": \"Skip Empty\", \"advanced\": True},\n \"tiktoken_model_name\": {\"display_name\": \"TikToken Model Name\"},\n \"tikToken_enable\": {\"display_name\": \"TikToken Enable\", \"advanced\": True},\n }\n\n def build(\n self,\n default_headers: Optional[Dict[str, str]] = None,\n default_query: Optional[NestedDict] = {},\n allowed_special: List[str] = [],\n disallowed_special: List[str] = [\"all\"],\n chunk_size: int = 1000,\n client: Optional[Any] = None,\n deployment: str = \"text-embedding-3-small\",\n embedding_ctx_length: int = 8191,\n max_retries: int = 6,\n model: str = \"text-embedding-3-small\",\n model_kwargs: NestedDict = {},\n openai_api_base: Optional[str] = None,\n openai_api_key: Optional[str] = \"\",\n openai_api_type: Optional[str] = None,\n openai_api_version: Optional[str] = None,\n openai_organization: Optional[str] = None,\n openai_proxy: Optional[str] = None,\n request_timeout: Optional[float] = None,\n show_progress_bar: bool = False,\n skip_empty: bool = False,\n tiktoken_enable: bool = True,\n tiktoken_model_name: Optional[str] = None,\n ) -> Union[OpenAIEmbeddings, Callable]:\n # This is to avoid errors with Vector Stores (e.g Chroma)\n if disallowed_special == [\"all\"]:\n disallowed_special = \"all\" # type: ignore\n\n api_key = SecretStr(openai_api_key) if openai_api_key else None\n\n return OpenAIEmbeddings(\n tiktoken_enabled=tiktoken_enable,\n default_headers=default_headers,\n default_query=default_query,\n allowed_special=set(allowed_special),\n disallowed_special=\"all\",\n chunk_size=chunk_size,\n client=client,\n deployment=deployment,\n embedding_ctx_length=embedding_ctx_length,\n max_retries=max_retries,\n model=model,\n model_kwargs=model_kwargs,\n base_url=openai_api_base,\n api_key=api_key,\n openai_api_type=openai_api_type,\n api_version=openai_api_version,\n organization=openai_organization,\n openai_proxy=openai_proxy,\n timeout=request_timeout,\n show_progress_bar=show_progress_bar,\n skip_empty=skip_empty,\n tiktoken_model_name=tiktoken_model_name,\n )\n",
+ "value": "from typing import Any, Callable, Dict, List, Optional, Union\n\nfrom langchain_openai.embeddings.base import OpenAIEmbeddings\nfrom langflow.custom import CustomComponent\nfrom langflow.field_typing import NestedDict\nfrom pydantic.v1.types import SecretStr\n\n\nclass OpenAIEmbeddingsComponent(CustomComponent):\n display_name = \"OpenAIEmbeddings\"\n description = \"OpenAI embedding models\"\n\n def build_config(self):\n return {\n \"allowed_special\": {\n \"display_name\": \"Allowed Special\",\n \"advanced\": True,\n \"field_type\": \"str\",\n \"is_list\": True,\n },\n \"default_headers\": {\n \"display_name\": \"Default Headers\",\n \"advanced\": True,\n \"field_type\": \"dict\",\n },\n \"default_query\": {\n \"display_name\": \"Default Query\",\n \"advanced\": True,\n \"field_type\": \"NestedDict\",\n },\n \"disallowed_special\": {\n \"display_name\": \"Disallowed Special\",\n \"advanced\": True,\n \"field_type\": \"str\",\n \"is_list\": True,\n },\n \"chunk_size\": {\"display_name\": \"Chunk Size\", \"advanced\": True},\n \"client\": {\"display_name\": \"Client\", \"advanced\": True},\n \"deployment\": {\"display_name\": \"Deployment\", \"advanced\": True},\n \"embedding_ctx_length\": {\n \"display_name\": \"Embedding Context Length\",\n \"advanced\": True,\n },\n \"max_retries\": {\"display_name\": \"Max Retries\", \"advanced\": True},\n \"model\": {\n \"display_name\": \"Model\",\n \"advanced\": False,\n \"options\": [\"text-embedding-3-small\", \"text-embedding-3-large\", \"text-embedding-ada-002\"],\n },\n \"model_kwargs\": {\"display_name\": \"Model Kwargs\", \"advanced\": True},\n \"openai_api_base\": {\"display_name\": \"OpenAI API Base\", \"password\": True, \"advanced\": True},\n \"openai_api_key\": {\"display_name\": \"OpenAI API Key\", \"password\": True},\n \"openai_api_type\": {\"display_name\": \"OpenAI API Type\", \"advanced\": True, \"password\": True},\n \"openai_api_version\": {\n \"display_name\": \"OpenAI API Version\",\n \"advanced\": True,\n },\n \"openai_organization\": {\n \"display_name\": \"OpenAI Organization\",\n \"advanced\": True,\n },\n \"openai_proxy\": {\"display_name\": \"OpenAI Proxy\", \"advanced\": True},\n \"request_timeout\": {\"display_name\": \"Request Timeout\", \"advanced\": True},\n \"show_progress_bar\": {\n \"display_name\": \"Show Progress Bar\",\n \"advanced\": True,\n },\n \"skip_empty\": {\"display_name\": \"Skip Empty\", \"advanced\": True},\n \"tiktoken_model_name\": {\"display_name\": \"TikToken Model Name\"},\n \"tikToken_enable\": {\"display_name\": \"TikToken Enable\", \"advanced\": True},\n }\n\n def build(\n self,\n default_headers: Optional[Dict[str, str]] = None,\n default_query: Optional[NestedDict] = {},\n allowed_special: List[str] = [],\n disallowed_special: List[str] = [\"all\"],\n chunk_size: int = 1000,\n client: Optional[Any] = None,\n deployment: str = \"text-embedding-3-small\",\n embedding_ctx_length: int = 8191,\n max_retries: int = 6,\n model: str = \"text-embedding-3-small\",\n model_kwargs: NestedDict = {},\n openai_api_base: Optional[str] = None,\n openai_api_key: Optional[str] = \"\",\n openai_api_type: Optional[str] = None,\n openai_api_version: Optional[str] = None,\n openai_organization: Optional[str] = None,\n openai_proxy: Optional[str] = None,\n request_timeout: Optional[float] = None,\n show_progress_bar: bool = False,\n skip_empty: bool = False,\n tiktoken_enable: bool = True,\n tiktoken_model_name: Optional[str] = None,\n ) -> Union[OpenAIEmbeddings, Callable]:\n # This is to avoid errors with Vector Stores (e.g Chroma)\n if disallowed_special == [\"all\"]:\n disallowed_special = \"all\" # type: ignore\n\n api_key = SecretStr(openai_api_key) if openai_api_key else None\n\n return OpenAIEmbeddings(\n tiktoken_enabled=tiktoken_enable,\n default_headers=default_headers,\n default_query=default_query,\n allowed_special=set(allowed_special),\n disallowed_special=\"all\",\n chunk_size=chunk_size,\n client=client,\n deployment=deployment,\n embedding_ctx_length=embedding_ctx_length,\n max_retries=max_retries,\n model=model,\n model_kwargs=model_kwargs,\n base_url=openai_api_base,\n api_key=api_key,\n openai_api_type=openai_api_type,\n api_version=openai_api_version,\n organization=openai_organization,\n openai_proxy=openai_proxy,\n timeout=request_timeout,\n show_progress_bar=show_progress_bar,\n skip_empty=skip_empty,\n tiktoken_model_name=tiktoken_model_name,\n )\n",
"fileTypes": [],
"file_path": "",
"password": false,
@@ -922,7 +922,7 @@
"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 import CustomComponent\nfrom langflow.schema import Record\n\n\nclass URLComponent(CustomComponent):\n display_name = \"URL\"\n description = \"Load URLs and convert them to records.\"\n\n def build_config(self) -> Dict[str, Any]:\n return {\n \"urls\": {\"display_name\": \"URL\"},\n }\n\n async def build(\n self,\n urls: list[str],\n ) -> Record:\n\n loader = WebBaseLoader(web_paths=urls)\n docs = loader.load()\n records = self.to_records(docs)\n return records\n",
+ "value": "from typing import Any, Dict\n\nfrom langchain_community.document_loaders.web_base import WebBaseLoader\n\nfrom langflow.custom import CustomComponent\nfrom langflow.schema import Record\n\n\nclass URLComponent(CustomComponent):\n display_name = \"URL\"\n description = \"Load URLs and convert them to records.\"\n\n def build_config(self) -> Dict[str, Any]:\n return {\n \"urls\": {\"display_name\": \"URL\"},\n }\n\n async def build(\n self,\n urls: list[str],\n ) -> Record:\n\n loader = WebBaseLoader(web_paths=urls)\n docs = loader.load()\n records = self.to_records(docs)\n return records\n",
"fileTypes": [],
"file_path": "",
"password": false,
diff --git a/src/backend/langflow/services/session/__init__.py b/src/backend/base/langflow/interface/__init__.py
similarity index 100%
rename from src/backend/langflow/services/session/__init__.py
rename to src/backend/base/langflow/interface/__init__.py
diff --git a/src/backend/langflow/interface/agents/__init__.py b/src/backend/base/langflow/interface/agents/__init__.py
similarity index 100%
rename from src/backend/langflow/interface/agents/__init__.py
rename to src/backend/base/langflow/interface/agents/__init__.py
diff --git a/src/backend/langflow/interface/agents/base.py b/src/backend/base/langflow/interface/agents/base.py
similarity index 97%
rename from src/backend/langflow/interface/agents/base.py
rename to src/backend/base/langflow/interface/agents/base.py
index 9c0210b27..5d50b3aff 100644
--- a/src/backend/langflow/interface/agents/base.py
+++ b/src/backend/base/langflow/interface/agents/base.py
@@ -1,14 +1,13 @@
from typing import ClassVar, Dict, List, Optional
from langchain.agents import types
+from loguru import logger
-from langflow.custom.customs import get_custom_nodes
from langflow.interface.agents.custom import CUSTOM_AGENTS
from langflow.interface.base import LangChainTypeCreator
+from langflow.legacy_custom.customs import get_custom_nodes
from langflow.services.deps import get_settings_service
-
from langflow.template.frontend_node.agents import AgentFrontendNode
-from loguru import logger
from langflow.utils.util import build_template_from_class, build_template_from_method
diff --git a/src/backend/langflow/interface/agents/custom.py b/src/backend/base/langflow/interface/agents/custom.py
similarity index 98%
rename from src/backend/langflow/interface/agents/custom.py
rename to src/backend/base/langflow/interface/agents/custom.py
index 608a98a9b..142b77139 100644
--- a/src/backend/langflow/interface/agents/custom.py
+++ b/src/backend/base/langflow/interface/agents/custom.py
@@ -1,11 +1,7 @@
from typing import Any, Optional
from langchain.agents import AgentExecutor, ZeroShotAgent
-from langchain.agents.agent_toolkits import (
- VectorStoreInfo,
- VectorStoreRouterToolkit,
- VectorStoreToolkit,
-)
+from langchain.agents.agent_toolkits import VectorStoreInfo, VectorStoreRouterToolkit, VectorStoreToolkit
from langchain.agents.agent_toolkits.vectorstore.prompt import PREFIX as VECTORSTORE_PREFIX
from langchain.agents.agent_toolkits.vectorstore.prompt import ROUTER_PREFIX as VECTORSTORE_ROUTER_PREFIX
from langchain.agents.mrkl.prompt import FORMAT_INSTRUCTIONS
diff --git a/src/backend/langflow/interface/agents/prebuilt.py b/src/backend/base/langflow/interface/agents/prebuilt.py
similarity index 100%
rename from src/backend/langflow/interface/agents/prebuilt.py
rename to src/backend/base/langflow/interface/agents/prebuilt.py
diff --git a/src/backend/langflow/interface/base.py b/src/backend/base/langflow/interface/base.py
similarity index 100%
rename from src/backend/langflow/interface/base.py
rename to src/backend/base/langflow/interface/base.py
index d535838ac..a300f12f2 100644
--- a/src/backend/langflow/interface/base.py
+++ b/src/backend/base/langflow/interface/base.py
@@ -1,15 +1,15 @@
from abc import ABC, abstractmethod
from typing import Any, Dict, List, Optional, Type, Union
-from langchain.chains.base import Chain
+
from langchain.agents import AgentExecutor
-from langflow.services.deps import get_settings_service
+from langchain.chains.base import Chain
+from loguru import logger
from pydantic import BaseModel
+from langflow.services.deps import get_settings_service
from langflow.template.field.base import TemplateField
from langflow.template.frontend_node.base import FrontendNode
from langflow.template.template.base import Template
-from loguru import logger
-
# Assuming necessary imports for Field, Template, and FrontendNode classes
diff --git a/src/backend/langflow/interface/chains/__init__.py b/src/backend/base/langflow/interface/chains/__init__.py
similarity index 100%
rename from src/backend/langflow/interface/chains/__init__.py
rename to src/backend/base/langflow/interface/chains/__init__.py
diff --git a/src/backend/langflow/interface/chains/base.py b/src/backend/base/langflow/interface/chains/base.py
similarity index 98%
rename from src/backend/langflow/interface/chains/base.py
rename to src/backend/base/langflow/interface/chains/base.py
index 8017902bd..fb008f0a7 100644
--- a/src/backend/langflow/interface/chains/base.py
+++ b/src/backend/base/langflow/interface/chains/base.py
@@ -1,15 +1,15 @@
from typing import Any, ClassVar, Dict, List, Optional, Type
-from langflow.custom.customs import get_custom_nodes
-from langflow.interface.base import LangChainTypeCreator
-from langflow.interface.importing.utils import import_class
-from langflow.services.deps import get_settings_service
-
-from langflow.template.frontend_node.chains import ChainFrontendNode
-from loguru import logger
-from langflow.utils.util import build_template_from_class, build_template_from_method
from langchain import chains
from langchain_experimental.sql import SQLDatabaseChain
+from loguru import logger
+
+from langflow.interface.base import LangChainTypeCreator
+from langflow.interface.importing.utils import import_class
+from langflow.legacy_custom.customs import get_custom_nodes
+from langflow.services.deps import get_settings_service
+from langflow.template.frontend_node.chains import ChainFrontendNode
+from langflow.utils.util import build_template_from_class, build_template_from_method
# Assuming necessary imports for Field, Template, and FrontendNode classes
diff --git a/src/backend/langflow/interface/chains/custom.py b/src/backend/base/langflow/interface/chains/custom.py
similarity index 99%
rename from src/backend/langflow/interface/chains/custom.py
rename to src/backend/base/langflow/interface/chains/custom.py
index 27ed646b2..2a72f3471 100644
--- a/src/backend/langflow/interface/chains/custom.py
+++ b/src/backend/base/langflow/interface/chains/custom.py
@@ -1,13 +1,14 @@
from typing import Dict, Optional, Type, Union
+from langchain.base_language import BaseLanguageModel
from langchain.chains import ConversationChain
+from langchain.chains.question_answering import load_qa_chain
from langchain.memory.buffer import ConversationBufferMemory
from langchain.schema import BaseMemory
-from langflow.interface.base import CustomChain
from pydantic.v1 import Field, root_validator
-from langchain.chains.question_answering import load_qa_chain
+
+from langflow.interface.base import CustomChain
from langflow.interface.utils import extract_input_variables_from_prompt
-from langchain.base_language import BaseLanguageModel
DEFAULT_SUFFIX = """"
Current conversation:
diff --git a/src/backend/langflow/interface/custom/__init__.py b/src/backend/base/langflow/interface/custom/__init__.py
similarity index 100%
rename from src/backend/langflow/interface/custom/__init__.py
rename to src/backend/base/langflow/interface/custom/__init__.py
diff --git a/src/backend/langflow/interface/custom/attributes.py b/src/backend/base/langflow/interface/custom/attributes.py
similarity index 100%
rename from src/backend/langflow/interface/custom/attributes.py
rename to src/backend/base/langflow/interface/custom/attributes.py
diff --git a/src/backend/langflow/interface/custom/base.py b/src/backend/base/langflow/interface/custom/base.py
similarity index 85%
rename from src/backend/langflow/interface/custom/base.py
rename to src/backend/base/langflow/interface/custom/base.py
index 45a3ea215..573eacba1 100644
--- a/src/backend/langflow/interface/custom/base.py
+++ b/src/backend/base/langflow/interface/custom/base.py
@@ -1,16 +1,12 @@
from typing import Any, Dict, List, Optional, Type
+from loguru import logger
from langflow.interface.base import LangChainTypeCreator
# from langflow.interface.custom.custom import CustomComponent
from langflow.interface.custom.custom_component import CustomComponent
-from langflow.template.frontend_node.custom_components import (
- CustomComponentFrontendNode,
-)
-from loguru import logger
-
-# Assuming necessary imports for Field, Template, and FrontendNode classes
+from langflow.template.frontend_node.custom_components import CustomComponentFrontendNode
class CustomComponentCreator(LangChainTypeCreator):
@@ -29,7 +25,7 @@ class CustomComponentCreator(LangChainTypeCreator):
return self.type_dict
def get_signature(self, name: str) -> Optional[Dict]:
- from langflow.custom.customs import get_custom_nodes
+ from langflow.legacy_custom.customs import get_custom_nodes
try:
if name in get_custom_nodes(self.type_name).keys():
diff --git a/src/backend/langflow/interface/custom/code_parser/__init__.py b/src/backend/base/langflow/interface/custom/code_parser/__init__.py
similarity index 100%
rename from src/backend/langflow/interface/custom/code_parser/__init__.py
rename to src/backend/base/langflow/interface/custom/code_parser/__init__.py
diff --git a/src/backend/langflow/interface/custom/code_parser/code_parser.py b/src/backend/base/langflow/interface/custom/code_parser/code_parser.py
similarity index 99%
rename from src/backend/langflow/interface/custom/code_parser/code_parser.py
rename to src/backend/base/langflow/interface/custom/code_parser/code_parser.py
index 55a2c693f..4f74cf15f 100644
--- a/src/backend/langflow/interface/custom/code_parser/code_parser.py
+++ b/src/backend/base/langflow/interface/custom/code_parser/code_parser.py
@@ -9,11 +9,7 @@ from fastapi import HTTPException
from loguru import logger
from langflow.interface.custom.eval import eval_custom_component_code
-from langflow.interface.custom.schema import (
- CallableCodeDetails,
- ClassCodeDetails,
- MissingDefault,
-)
+from langflow.interface.custom.schema import CallableCodeDetails, ClassCodeDetails, MissingDefault
class CodeSyntaxError(HTTPException):
diff --git a/src/backend/langflow/interface/custom/code_parser/utils.py b/src/backend/base/langflow/interface/custom/code_parser/utils.py
similarity index 100%
rename from src/backend/langflow/interface/custom/code_parser/utils.py
rename to src/backend/base/langflow/interface/custom/code_parser/utils.py
diff --git a/src/backend/langflow/interface/custom/custom_component/__init__.py b/src/backend/base/langflow/interface/custom/custom_component/__init__.py
similarity index 100%
rename from src/backend/langflow/interface/custom/custom_component/__init__.py
rename to src/backend/base/langflow/interface/custom/custom_component/__init__.py
diff --git a/src/backend/langflow/interface/custom/custom_component/component.py b/src/backend/base/langflow/interface/custom/custom_component/component.py
similarity index 100%
rename from src/backend/langflow/interface/custom/custom_component/component.py
rename to src/backend/base/langflow/interface/custom/custom_component/component.py
diff --git a/src/backend/langflow/interface/custom/custom_component/custom_component.py b/src/backend/base/langflow/interface/custom/custom_component/custom_component.py
similarity index 86%
rename from src/backend/langflow/interface/custom/custom_component/custom_component.py
rename to src/backend/base/langflow/interface/custom/custom_component/custom_component.py
index d15622a61..1554a57da 100644
--- a/src/backend/langflow/interface/custom/custom_component/custom_component.py
+++ b/src/backend/base/langflow/interface/custom/custom_component/custom_component.py
@@ -7,8 +7,8 @@ import yaml
from cachetools import TTLCache, cachedmethod
from langchain_core.documents import Document
from pydantic import BaseModel
-from sqlmodel import select
+from langflow.helpers.flow import list_flows, load_flow, run_flow
from langflow.interface.custom.code_parser.utils import (
extract_inner_type_from_generic_alias,
extract_union_types_from_generic_alias,
@@ -16,15 +16,14 @@ from langflow.interface.custom.code_parser.utils import (
from langflow.interface.custom.custom_component.component import Component
from langflow.schema import Record
from langflow.schema.dotdict import dotdict
-from langflow.services.database.models.flow import Flow
-from langflow.services.database.utils import session_getter
-from langflow.services.deps import get_db_service, get_storage_service, get_variable_service
+from langflow.services.deps import get_storage_service, get_variable_service, session_scope
from langflow.services.storage.service import StorageService
from langflow.utils import validate
if TYPE_CHECKING:
from langflow.graph.graph.base import Graph
from langflow.graph.vertex.base import Vertex
+ from langflow.services.storage.service import StorageService
class CustomComponent(Component):
@@ -152,6 +151,8 @@ class CustomComponent(Component):
return yaml.dump(self.repr_value)
if isinstance(self.repr_value, str):
return self.repr_value
+ if isinstance(self.repr_value, BaseModel) and not isinstance(self.repr_value, Record):
+ return str(self.repr_value)
return self.repr_value
def build_config(self):
@@ -374,8 +375,7 @@ class CustomComponent(Component):
raise ValueError(f"User id is not set for {self.__class__.__name__}")
variable_service = get_variable_service() # Get service instance
# Retrieve and decrypt the credential by name for the current user
- db_service = get_db_service()
- with session_getter(db_service) as session:
+ with session_scope() as session:
return variable_service.get_credential(user_id=self._user_id or "", name=name, session=session)
return get_credential
@@ -393,8 +393,8 @@ class CustomComponent(Component):
if hasattr(self, "_user_id") and not self._user_id:
raise ValueError(f"User id is not set for {self.__class__.__name__}")
variable_service = get_variable_service()
- db_service = get_db_service()
- with session_getter(db_service) as session:
+
+ with session_scope() as session:
return variable_service.list_variables(user_id=self._user_id, session=session)
def index(self, value: int = 0):
@@ -423,60 +423,22 @@ class CustomComponent(Component):
return validate.create_function(self.code, self.function_entrypoint_name)
async def load_flow(self, flow_id: str, tweaks: Optional[dict] = None) -> "Graph":
- from langflow.graph.graph.base import Graph
- from langflow.processing.process import process_tweaks
-
- db_service = get_db_service()
- with session_getter(db_service) as session:
- graph_data = flow.data if (flow := session.get(Flow, flow_id)) else None
- if not graph_data:
- raise ValueError(f"Flow {flow_id} not found")
- if tweaks:
- graph_data = process_tweaks(graph_data=graph_data, tweaks=tweaks)
- graph = Graph.from_payload(graph_data, flow_id=flow_id)
- return graph
+ return await load_flow(flow_id, tweaks)
async def run_flow(
self,
- input_value: Union[str, list[str]],
+ inputs: Union[dict, List[dict]] = None,
flow_id: Optional[str] = None,
flow_name: Optional[str] = None,
tweaks: Optional[dict] = None,
) -> Any:
- if not flow_id and not flow_name:
- raise ValueError("Flow ID or Flow Name is required")
- if not self._flows_records:
- self.list_flows()
- if not flow_id and self._flows_records:
- flow_ids = [flow.data["id"] for flow in self._flows_records if flow.data["name"] == flow_name]
- if not flow_ids:
- raise ValueError(f"Flow {flow_name} not found")
- elif len(flow_ids) > 1:
- raise ValueError(f"Multiple flows found with the name {flow_name}")
- flow_id = flow_ids[0]
+ return await run_flow(inputs=inputs, flow_id=flow_id, flow_name=flow_name, tweaks=tweaks, user_id=self._user_id)
- if not flow_id:
- raise ValueError(f"Flow {flow_name} not found")
- if isinstance(input_value, str):
- input_value = [input_value]
- graph = await self.load_flow(flow_id, tweaks)
- input_value_dict = [{"input_value": input_val} for input_val in input_value]
- return await graph.run(input_value_dict, stream=False)
-
- def list_flows(self, *, get_session: Optional[Callable] = None) -> List[Record]:
+ def list_flows(self) -> List[Record]:
if not self._user_id:
raise ValueError("Session is invalid")
try:
- get_session = get_session or session_getter
- db_service = get_db_service()
- with get_session(db_service) as session:
- flows = session.exec(
- select(Flow).where(Flow.user_id == self._user_id).where(Flow.is_component == False) # noqa
- ).all()
-
- flows_records = [flow.to_record() for flow in flows]
- self._flows_records = flows_records
- return flows_records
+ return list_flows(user_id=self._user_id)
except Exception as e:
raise ValueError(f"Error listing flows: {e}")
diff --git a/src/backend/langflow/interface/custom/directory_reader/__init__.py b/src/backend/base/langflow/interface/custom/directory_reader/__init__.py
similarity index 100%
rename from src/backend/langflow/interface/custom/directory_reader/__init__.py
rename to src/backend/base/langflow/interface/custom/directory_reader/__init__.py
diff --git a/src/backend/langflow/interface/custom/directory_reader/directory_reader.py b/src/backend/base/langflow/interface/custom/directory_reader/directory_reader.py
similarity index 99%
rename from src/backend/langflow/interface/custom/directory_reader/directory_reader.py
rename to src/backend/base/langflow/interface/custom/directory_reader/directory_reader.py
index 5f9487bb2..9ffb9825d 100644
--- a/src/backend/langflow/interface/custom/directory_reader/directory_reader.py
+++ b/src/backend/base/langflow/interface/custom/directory_reader/directory_reader.py
@@ -77,7 +77,7 @@ class DirectoryReader:
component_tuple = (*build_component(component), component)
components.append(component_tuple)
except Exception as e:
- logger.error(f"Error while loading component: {e}")
+ logger.error(f"Error while loading component { component['name']}: {e}")
continue
items.append({"name": menu["name"], "path": menu["path"], "components": components})
filtered = [menu for menu in items if menu["components"]]
diff --git a/src/backend/langflow/interface/custom/directory_reader/utils.py b/src/backend/base/langflow/interface/custom/directory_reader/utils.py
similarity index 98%
rename from src/backend/langflow/interface/custom/directory_reader/utils.py
rename to src/backend/base/langflow/interface/custom/directory_reader/utils.py
index 0936bd4dd..2772cb78c 100644
--- a/src/backend/langflow/interface/custom/directory_reader/utils.py
+++ b/src/backend/base/langflow/interface/custom/directory_reader/utils.py
@@ -1,9 +1,7 @@
from loguru import logger
from langflow.interface.custom.directory_reader import DirectoryReader
-from langflow.template.frontend_node.custom_components import (
- CustomComponentFrontendNode,
-)
+from langflow.template.frontend_node.custom_components import CustomComponentFrontendNode
def merge_nested_dicts_with_renaming(dict1, dict2):
diff --git a/src/backend/langflow/interface/custom/eval.py b/src/backend/base/langflow/interface/custom/eval.py
similarity index 100%
rename from src/backend/langflow/interface/custom/eval.py
rename to src/backend/base/langflow/interface/custom/eval.py
diff --git a/src/backend/langflow/interface/custom/schema.py b/src/backend/base/langflow/interface/custom/schema.py
similarity index 100%
rename from src/backend/langflow/interface/custom/schema.py
rename to src/backend/base/langflow/interface/custom/schema.py
diff --git a/src/backend/langflow/interface/custom/utils.py b/src/backend/base/langflow/interface/custom/utils.py
similarity index 99%
rename from src/backend/langflow/interface/custom/utils.py
rename to src/backend/base/langflow/interface/custom/utils.py
index 636d1ccf7..c6daa4fe2 100644
--- a/src/backend/langflow/interface/custom/utils.py
+++ b/src/backend/base/langflow/interface/custom/utils.py
@@ -23,9 +23,7 @@ from langflow.interface.custom.eval import eval_custom_component_code
from langflow.interface.custom.schema import MissingDefault
from langflow.schema import dotdict
from langflow.template.field.base import TemplateField
-from langflow.template.frontend_node.custom_components import (
- CustomComponentFrontendNode,
-)
+from langflow.template.frontend_node.custom_components import CustomComponentFrontendNode
from langflow.utils import validate
from langflow.utils.util import get_base_classes
diff --git a/src/backend/langflow/interface/custom_lists.py b/src/backend/base/langflow/interface/custom_lists.py
similarity index 100%
rename from src/backend/langflow/interface/custom_lists.py
rename to src/backend/base/langflow/interface/custom_lists.py
index 3cff26099..8f428ee11 100644
--- a/src/backend/langflow/interface/custom_lists.py
+++ b/src/backend/base/langflow/interface/custom_lists.py
@@ -2,8 +2,8 @@ import inspect
from typing import Any
from langchain import llms, memory, requests, text_splitter
-from langchain_community.chat_models import AzureChatOpenAI, ChatAnthropic, ChatOpenAI, ChatVertexAI
from langchain_community import agent_toolkits, document_loaders, embeddings
+from langchain_community.chat_models import AzureChatOpenAI, ChatAnthropic, ChatOpenAI, ChatVertexAI
from langflow.interface.agents.custom import CUSTOM_AGENTS
from langflow.interface.chains.custom import CUSTOM_CHAINS
diff --git a/src/backend/langflow/services/socket/__init__.py b/src/backend/base/langflow/interface/document_loaders/__init__.py
similarity index 100%
rename from src/backend/langflow/services/socket/__init__.py
rename to src/backend/base/langflow/interface/document_loaders/__init__.py
diff --git a/src/backend/langflow/interface/document_loaders/base.py b/src/backend/base/langflow/interface/document_loaders/base.py
similarity index 100%
rename from src/backend/langflow/interface/document_loaders/base.py
rename to src/backend/base/langflow/interface/document_loaders/base.py
index 6142d2fa2..24108c9b4 100644
--- a/src/backend/langflow/interface/document_loaders/base.py
+++ b/src/backend/base/langflow/interface/document_loaders/base.py
@@ -1,11 +1,11 @@
from typing import Dict, List, Optional, Type
+from loguru import logger
+
from langflow.interface.base import LangChainTypeCreator
+from langflow.interface.custom_lists import documentloaders_type_to_cls_dict
from langflow.services.deps import get_settings_service
from langflow.template.frontend_node.documentloaders import DocumentLoaderFrontNode
-from langflow.interface.custom_lists import documentloaders_type_to_cls_dict
-
-from loguru import logger
from langflow.utils.util import build_template_from_class
diff --git a/src/backend/langflow/services/storage/__init__.py b/src/backend/base/langflow/interface/embeddings/__init__.py
similarity index 100%
rename from src/backend/langflow/services/storage/__init__.py
rename to src/backend/base/langflow/interface/embeddings/__init__.py
diff --git a/src/backend/langflow/interface/embeddings/base.py b/src/backend/base/langflow/interface/embeddings/base.py
similarity index 100%
rename from src/backend/langflow/interface/embeddings/base.py
rename to src/backend/base/langflow/interface/embeddings/base.py
index 834ea61fa..061321092 100644
--- a/src/backend/langflow/interface/embeddings/base.py
+++ b/src/backend/base/langflow/interface/embeddings/base.py
@@ -1,12 +1,12 @@
from typing import Dict, List, Optional, Type
+from loguru import logger
+
from langflow.interface.base import LangChainTypeCreator
from langflow.interface.custom_lists import embedding_type_to_cls_dict
from langflow.services.deps import get_settings_service
-
from langflow.template.frontend_node.base import FrontendNode
from langflow.template.frontend_node.embeddings import EmbeddingFrontendNode
-from loguru import logger
from langflow.utils.util import build_template_from_class
diff --git a/src/backend/langflow/interface/importing/__init__.py b/src/backend/base/langflow/interface/importing/__init__.py
similarity index 54%
rename from src/backend/langflow/interface/importing/__init__.py
rename to src/backend/base/langflow/interface/importing/__init__.py
index 317849f8e..066653f49 100644
--- a/src/backend/langflow/interface/importing/__init__.py
+++ b/src/backend/base/langflow/interface/importing/__init__.py
@@ -1,5 +1,3 @@
-from langflow.interface.importing.utils import import_by_type # noqa: F401
-
# This module is used to import any langchain class by name.
ALL = [
diff --git a/src/backend/langflow/interface/importing/utils.py b/src/backend/base/langflow/interface/importing/utils.py
similarity index 94%
rename from src/backend/langflow/interface/importing/utils.py
rename to src/backend/base/langflow/interface/importing/utils.py
index d9d9198b6..24612df3c 100644
--- a/src/backend/langflow/interface/importing/utils.py
+++ b/src/backend/base/langflow/interface/importing/utils.py
@@ -10,7 +10,6 @@ from langchain.prompts import PromptTemplate
from langchain.tools import BaseTool
from langchain_core.language_models.chat_models import BaseChatModel
-from langflow.interface.custom.custom_component import CustomComponent
from langflow.interface.wrappers.base import wrapper_creator
@@ -48,7 +47,6 @@ def import_by_type(_type: str, name: str) -> Any:
"utilities": import_utility,
"output_parsers": import_output_parser,
"retrievers": import_retriever,
- "custom_components": import_custom_component,
}
if _type == "models":
key = "chat" if "chat" in name.lower() else "llm"
@@ -59,11 +57,6 @@ def import_by_type(_type: str, name: str) -> Any:
return loaded_func(name)
-def import_custom_component(custom_component: str) -> CustomComponent:
- """Import custom component from custom component name"""
- return import_class("langflow.interface.custom.custom_component.CustomComponent")
-
-
def import_output_parser(output_parser: str) -> Any:
"""Import output parser from output parser name"""
return import_module(f"from langchain.output_parsers import {output_parser}")
diff --git a/src/backend/langflow/services/store/__init__.py b/src/backend/base/langflow/interface/initialize/__init__.py
similarity index 100%
rename from src/backend/langflow/services/store/__init__.py
rename to src/backend/base/langflow/interface/initialize/__init__.py
diff --git a/src/backend/langflow/interface/initialize/llm.py b/src/backend/base/langflow/interface/initialize/llm.py
similarity index 100%
rename from src/backend/langflow/interface/initialize/llm.py
rename to src/backend/base/langflow/interface/initialize/llm.py
diff --git a/src/backend/langflow/interface/initialize/loading.py b/src/backend/base/langflow/interface/initialize/loading.py
similarity index 97%
rename from src/backend/langflow/interface/initialize/loading.py
rename to src/backend/base/langflow/interface/initialize/loading.py
index 7d8be2f15..0ba40b90e 100644
--- a/src/backend/langflow/interface/initialize/loading.py
+++ b/src/backend/base/langflow/interface/initialize/loading.py
@@ -11,16 +11,13 @@ from langchain.chains.base import Chain
from langchain.document_loaders.base import BaseLoader
from langchain_community.vectorstores import VectorStore
from langchain_core.documents import Document
+from loguru import logger
+from pydantic import ValidationError
+
from langflow.interface.custom.eval import eval_custom_component_code
-from langflow.interface.custom.utils import get_function
-from langflow.interface.custom_lists import CUSTOM_NODES
from langflow.interface.importing.utils import import_by_type
from langflow.interface.initialize.llm import initialize_vertexai
-from langflow.interface.initialize.utils import (
- handle_format_kwargs,
- handle_node_type,
- handle_partial_variables,
-)
+from langflow.interface.initialize.utils import handle_format_kwargs, handle_node_type, handle_partial_variables
from langflow.interface.initialize.vector_store import vecstore_initializer
from langflow.interface.output_parsers.base import output_parser_creator
from langflow.interface.retrievers.base import retriever_creator
@@ -30,12 +27,9 @@ from langflow.interface.wrappers.base import wrapper_creator
from langflow.schema.schema import Record
from langflow.utils import validate
from langflow.utils.util import unescape_string
-from loguru import logger
-from pydantic import ValidationError
if TYPE_CHECKING:
- from langflow import CustomComponent
-
+ from langflow.custom import CustomComponent
from langflow.graph.vertex.base import Vertex
@@ -44,6 +38,8 @@ async def instantiate_class(
user_id=None,
) -> Any:
"""Instantiate class from module type and key, and params"""
+ from langflow.legacy_custom.customs import CUSTOM_NODES
+
vertex_type = vertex.vertex_type
base_type = vertex.base_type
params = vertex.params
@@ -58,6 +54,8 @@ async def instantiate_class(
logger.debug(f"Instantiating {vertex_type} of type {base_type}")
if not base_type:
raise ValueError("No base type provided for vertex")
+ if base_type == "custom_components":
+ return await instantiate_custom_component(params, user_id, vertex)
class_object = import_by_type(_type=base_type, name=vertex_type)
return await instantiate_based_on_type(
class_object=class_object,
@@ -135,8 +133,6 @@ async def instantiate_based_on_type(
return instantiate_memory(node_type, class_object, params)
elif base_type == "custom_components":
return await instantiate_custom_component(
- node_type,
- class_object,
params,
user_id,
vertex,
@@ -162,7 +158,7 @@ def update_params_with_load_from_db_fields(custom_component: "CustomComponent",
return params
-async def instantiate_custom_component(node_type, class_object, params, user_id, vertex):
+async def instantiate_custom_component(params, user_id, vertex):
params_copy = params.copy()
class_object: Type["CustomComponent"] = eval_custom_component_code(params_copy.pop("code"))
custom_component: "CustomComponent" = class_object(
@@ -305,6 +301,8 @@ def instantiate_tool(node_type, class_object: Type[BaseTool], params: Dict):
raise ValueError("Invalid file")
return class_object(**params)
elif node_type == "PythonFunctionTool":
+ from langflow.interface.custom.utils import get_function
+
params["func"] = get_function(params.get("code"))
return class_object(**params)
elif node_type == "PythonFunction":
diff --git a/src/backend/langflow/interface/initialize/utils.py b/src/backend/base/langflow/interface/initialize/utils.py
similarity index 100%
rename from src/backend/langflow/interface/initialize/utils.py
rename to src/backend/base/langflow/interface/initialize/utils.py
diff --git a/src/backend/langflow/interface/initialize/vector_store.py b/src/backend/base/langflow/interface/initialize/vector_store.py
similarity index 100%
rename from src/backend/langflow/interface/initialize/vector_store.py
rename to src/backend/base/langflow/interface/initialize/vector_store.py
diff --git a/src/backend/langflow/interface/listing.py b/src/backend/base/langflow/interface/listing.py
similarity index 100%
rename from src/backend/langflow/interface/listing.py
rename to src/backend/base/langflow/interface/listing.py
diff --git a/src/backend/langflow/interface/llms/__init__.py b/src/backend/base/langflow/interface/llms/__init__.py
similarity index 100%
rename from src/backend/langflow/interface/llms/__init__.py
rename to src/backend/base/langflow/interface/llms/__init__.py
diff --git a/src/backend/langflow/interface/llms/base.py b/src/backend/base/langflow/interface/llms/base.py
similarity index 100%
rename from src/backend/langflow/interface/llms/base.py
rename to src/backend/base/langflow/interface/llms/base.py
diff --git a/src/backend/langflow/interface/memories/__init__.py b/src/backend/base/langflow/interface/memories/__init__.py
similarity index 100%
rename from src/backend/langflow/interface/memories/__init__.py
rename to src/backend/base/langflow/interface/memories/__init__.py
diff --git a/src/backend/langflow/interface/memories/base.py b/src/backend/base/langflow/interface/memories/base.py
similarity index 97%
rename from src/backend/langflow/interface/memories/base.py
rename to src/backend/base/langflow/interface/memories/base.py
index 7508d6d64..b63c7d3f0 100644
--- a/src/backend/langflow/interface/memories/base.py
+++ b/src/backend/base/langflow/interface/memories/base.py
@@ -1,14 +1,14 @@
from typing import ClassVar, Dict, List, Optional, Type
+from loguru import logger
+
from langflow.interface.base import LangChainTypeCreator
from langflow.interface.custom_lists import memory_type_to_cls_dict
+from langflow.legacy_custom.customs import get_custom_nodes
from langflow.services.deps import get_settings_service
-
from langflow.template.frontend_node.base import FrontendNode
from langflow.template.frontend_node.memories import MemoryFrontendNode
-from loguru import logger
from langflow.utils.util import build_template_from_class, build_template_from_method
-from langflow.custom.customs import get_custom_nodes
class MemoryCreator(LangChainTypeCreator):
diff --git a/src/backend/langflow/services/task/__init__.py b/src/backend/base/langflow/interface/output_parsers/__init__.py
similarity index 100%
rename from src/backend/langflow/services/task/__init__.py
rename to src/backend/base/langflow/interface/output_parsers/__init__.py
diff --git a/src/backend/langflow/interface/output_parsers/base.py b/src/backend/base/langflow/interface/output_parsers/base.py
similarity index 99%
rename from src/backend/langflow/interface/output_parsers/base.py
rename to src/backend/base/langflow/interface/output_parsers/base.py
index 3ae1e9d7b..503b47642 100644
--- a/src/backend/langflow/interface/output_parsers/base.py
+++ b/src/backend/base/langflow/interface/output_parsers/base.py
@@ -1,13 +1,12 @@
from typing import ClassVar, Dict, List, Optional, Type
from langchain import output_parsers
+from loguru import logger
from langflow.interface.base import LangChainTypeCreator
from langflow.interface.importing.utils import import_class
from langflow.services.deps import get_settings_service
-
from langflow.template.frontend_node.output_parsers import OutputParserFrontendNode
-from loguru import logger
from langflow.utils.util import build_template_from_class, build_template_from_method
diff --git a/src/backend/langflow/interface/prompts/__init__.py b/src/backend/base/langflow/interface/prompts/__init__.py
similarity index 100%
rename from src/backend/langflow/interface/prompts/__init__.py
rename to src/backend/base/langflow/interface/prompts/__init__.py
diff --git a/src/backend/langflow/interface/prompts/base.py b/src/backend/base/langflow/interface/prompts/base.py
similarity index 97%
rename from src/backend/langflow/interface/prompts/base.py
rename to src/backend/base/langflow/interface/prompts/base.py
index 164ea2b10..2b448c362 100644
--- a/src/backend/langflow/interface/prompts/base.py
+++ b/src/backend/base/langflow/interface/prompts/base.py
@@ -1,14 +1,13 @@
from typing import Dict, List, Optional, Type
from langchain import prompts
+from loguru import logger
-from langflow.custom.customs import get_custom_nodes
from langflow.interface.base import LangChainTypeCreator
from langflow.interface.importing.utils import import_class
+from langflow.legacy_custom.customs import get_custom_nodes
from langflow.services.deps import get_settings_service
-
from langflow.template.frontend_node.prompts import PromptFrontendNode
-from loguru import logger
from langflow.utils.util import build_template_from_class
diff --git a/src/backend/langflow/interface/prompts/custom.py b/src/backend/base/langflow/interface/prompts/custom.py
similarity index 100%
rename from src/backend/langflow/interface/prompts/custom.py
rename to src/backend/base/langflow/interface/prompts/custom.py
diff --git a/src/backend/langflow/services/task/backends/__init__.py b/src/backend/base/langflow/interface/retrievers/__init__.py
similarity index 100%
rename from src/backend/langflow/services/task/backends/__init__.py
rename to src/backend/base/langflow/interface/retrievers/__init__.py
diff --git a/src/backend/langflow/interface/retrievers/base.py b/src/backend/base/langflow/interface/retrievers/base.py
similarity index 99%
rename from src/backend/langflow/interface/retrievers/base.py
rename to src/backend/base/langflow/interface/retrievers/base.py
index a6813e76c..a0be56b9b 100644
--- a/src/backend/langflow/interface/retrievers/base.py
+++ b/src/backend/base/langflow/interface/retrievers/base.py
@@ -1,12 +1,13 @@
from typing import Any, ClassVar, Dict, List, Optional, Type
from langchain_community import retrievers
+from loguru import logger
+
from langflow.interface.base import LangChainTypeCreator
from langflow.interface.importing.utils import import_class
from langflow.services.deps import get_settings_service
from langflow.template.frontend_node.retrievers import RetrieverFrontendNode
from langflow.utils.util import build_template_from_class, build_template_from_method
-from loguru import logger
class RetrieverCreator(LangChainTypeCreator):
diff --git a/src/backend/langflow/interface/run.py b/src/backend/base/langflow/interface/run.py
similarity index 100%
rename from src/backend/langflow/interface/run.py
rename to src/backend/base/langflow/interface/run.py
diff --git a/src/backend/langflow/interface/text_splitters/__init__.py b/src/backend/base/langflow/interface/text_splitters/__init__.py
similarity index 100%
rename from src/backend/langflow/interface/text_splitters/__init__.py
rename to src/backend/base/langflow/interface/text_splitters/__init__.py
diff --git a/src/backend/langflow/interface/text_splitters/base.py b/src/backend/base/langflow/interface/text_splitters/base.py
similarity index 100%
rename from src/backend/langflow/interface/text_splitters/base.py
rename to src/backend/base/langflow/interface/text_splitters/base.py
index 29c77a12f..497377cde 100644
--- a/src/backend/langflow/interface/text_splitters/base.py
+++ b/src/backend/base/langflow/interface/text_splitters/base.py
@@ -1,11 +1,11 @@
from typing import Dict, List, Optional, Type
+from loguru import logger
+
from langflow.interface.base import LangChainTypeCreator
+from langflow.interface.custom_lists import textsplitter_type_to_cls_dict
from langflow.services.deps import get_settings_service
from langflow.template.frontend_node.textsplitters import TextSplittersFrontendNode
-from langflow.interface.custom_lists import textsplitter_type_to_cls_dict
-
-from loguru import logger
from langflow.utils.util import build_template_from_class
diff --git a/src/backend/langflow/template/__init__.py b/src/backend/base/langflow/interface/toolkits/__init__.py
similarity index 100%
rename from src/backend/langflow/template/__init__.py
rename to src/backend/base/langflow/interface/toolkits/__init__.py
diff --git a/src/backend/langflow/interface/toolkits/base.py b/src/backend/base/langflow/interface/toolkits/base.py
similarity index 99%
rename from src/backend/langflow/interface/toolkits/base.py
rename to src/backend/base/langflow/interface/toolkits/base.py
index 7c57579d1..9ff3ad045 100644
--- a/src/backend/langflow/interface/toolkits/base.py
+++ b/src/backend/base/langflow/interface/toolkits/base.py
@@ -1,12 +1,11 @@
from typing import Callable, Dict, List, Optional
from langchain.agents import agent_toolkits
+from loguru import logger
from langflow.interface.base import LangChainTypeCreator
from langflow.interface.importing.utils import import_class, import_module
from langflow.services.deps import get_settings_service
-
-from loguru import logger
from langflow.utils.util import build_template_from_class
diff --git a/src/backend/langflow/interface/toolkits/custom.py b/src/backend/base/langflow/interface/toolkits/custom.py
similarity index 100%
rename from src/backend/langflow/interface/toolkits/custom.py
rename to src/backend/base/langflow/interface/toolkits/custom.py
diff --git a/src/backend/langflow/interface/tools/__init__.py b/src/backend/base/langflow/interface/tools/__init__.py
similarity index 100%
rename from src/backend/langflow/interface/tools/__init__.py
rename to src/backend/base/langflow/interface/tools/__init__.py
diff --git a/src/backend/langflow/interface/tools/base.py b/src/backend/base/langflow/interface/tools/base.py
similarity index 94%
rename from src/backend/langflow/interface/tools/base.py
rename to src/backend/base/langflow/interface/tools/base.py
index 875915a58..2506c0170 100644
--- a/src/backend/langflow/interface/tools/base.py
+++ b/src/backend/base/langflow/interface/tools/base.py
@@ -1,27 +1,18 @@
from typing import Dict, List, Optional
-from langchain.agents.load_tools import (
- _EXTRA_LLM_TOOLS,
- _EXTRA_OPTIONAL_TOOLS,
- _LLM_TOOLS,
-)
-
-from langflow.custom import customs
+from langchain.agents.load_tools import _EXTRA_LLM_TOOLS, _EXTRA_OPTIONAL_TOOLS, _LLM_TOOLS
from langflow.interface.base import LangChainTypeCreator
-from langflow.interface.tools.constants import (
- ALL_TOOLS_NAMES,
- CUSTOM_TOOLS,
- FILE_TOOLS,
- OTHER_TOOLS,
-)
+from langflow.interface.tools.constants import ALL_TOOLS_NAMES, CUSTOM_TOOLS, FILE_TOOLS, OTHER_TOOLS
from langflow.interface.tools.util import get_tool_params
+from langflow.legacy_custom import customs
+from langflow.interface.tools.util import get_tool_params
+from langflow.legacy_custom import customs
from langflow.services.deps import get_settings_service
-
from langflow.template.field.base import TemplateField
from langflow.template.template.base import Template
from langflow.utils import util
-from langflow.utils.util import build_template_from_class
from langflow.utils.logger import logger
+from langflow.utils.util import build_template_from_class
TOOL_INPUTS = {
"str": TemplateField(
diff --git a/src/backend/langflow/interface/tools/constants.py b/src/backend/base/langflow/interface/tools/constants.py
similarity index 85%
rename from src/backend/langflow/interface/tools/constants.py
rename to src/backend/base/langflow/interface/tools/constants.py
index 194bea2e9..7b07922e5 100644
--- a/src/backend/langflow/interface/tools/constants.py
+++ b/src/backend/base/langflow/interface/tools/constants.py
@@ -1,11 +1,6 @@
from langchain import tools
from langchain.agents import Tool
-from langchain.agents.load_tools import (
- _BASE_TOOLS,
- _EXTRA_LLM_TOOLS,
- _EXTRA_OPTIONAL_TOOLS,
- _LLM_TOOLS,
-)
+from langchain.agents.load_tools import _BASE_TOOLS, _EXTRA_LLM_TOOLS, _EXTRA_OPTIONAL_TOOLS, _LLM_TOOLS
from langchain.tools.json.tool import JsonSpec
from langflow.interface.importing.utils import import_class
diff --git a/src/backend/langflow/interface/tools/custom.py b/src/backend/base/langflow/interface/tools/custom.py
similarity index 100%
rename from src/backend/langflow/interface/tools/custom.py
rename to src/backend/base/langflow/interface/tools/custom.py
diff --git a/src/backend/langflow/interface/tools/util.py b/src/backend/base/langflow/interface/tools/util.py
similarity index 100%
rename from src/backend/langflow/interface/tools/util.py
rename to src/backend/base/langflow/interface/tools/util.py
diff --git a/src/backend/langflow/interface/types.py b/src/backend/base/langflow/interface/types.py
similarity index 96%
rename from src/backend/langflow/interface/types.py
rename to src/backend/base/langflow/interface/types.py
index f1f315700..32ab7ff95 100644
--- a/src/backend/langflow/interface/types.py
+++ b/src/backend/base/langflow/interface/types.py
@@ -2,9 +2,7 @@ from cachetools import LRUCache, cached
from langflow.interface.agents.base import agent_creator
from langflow.interface.chains.base import chain_creator
-from langflow.interface.custom.directory_reader.utils import (
- merge_nested_dicts_with_renaming,
-)
+from langflow.interface.custom.directory_reader.utils import merge_nested_dicts_with_renaming
from langflow.interface.custom.utils import build_custom_components
from langflow.interface.document_loaders.base import documentloader_creator
from langflow.interface.embeddings.base import embedding_creator
diff --git a/src/backend/langflow/template/field/__init__.py b/src/backend/base/langflow/interface/utilities/__init__.py
similarity index 100%
rename from src/backend/langflow/template/field/__init__.py
rename to src/backend/base/langflow/interface/utilities/__init__.py
diff --git a/src/backend/langflow/interface/utilities/base.py b/src/backend/base/langflow/interface/utilities/base.py
similarity index 97%
rename from src/backend/langflow/interface/utilities/base.py
rename to src/backend/base/langflow/interface/utilities/base.py
index 0a58ef1bc..1b7b69421 100644
--- a/src/backend/langflow/interface/utilities/base.py
+++ b/src/backend/base/langflow/interface/utilities/base.py
@@ -3,9 +3,9 @@ from typing import Dict, List, Optional, Type
from langchain_community import utilities
from loguru import logger
-from langflow.custom.customs import get_custom_nodes
from langflow.interface.base import LangChainTypeCreator
from langflow.interface.importing.utils import import_class
+from langflow.legacy_custom.customs import get_custom_nodes
from langflow.services.deps import get_settings_service
from langflow.template.frontend_node.utilities import UtilitiesFrontendNode
from langflow.utils.util import build_template_from_class
diff --git a/src/backend/langflow/interface/utils.py b/src/backend/base/langflow/interface/utils.py
similarity index 100%
rename from src/backend/langflow/interface/utils.py
rename to src/backend/base/langflow/interface/utils.py
diff --git a/src/backend/langflow/template/frontend_node/formatter/__init__.py b/src/backend/base/langflow/interface/vector_store/__init__.py
similarity index 100%
rename from src/backend/langflow/template/frontend_node/formatter/__init__.py
rename to src/backend/base/langflow/interface/vector_store/__init__.py
diff --git a/src/backend/langflow/interface/vector_store/base.py b/src/backend/base/langflow/interface/vector_store/base.py
similarity index 100%
rename from src/backend/langflow/interface/vector_store/base.py
rename to src/backend/base/langflow/interface/vector_store/base.py
diff --git a/src/backend/langflow/template/template/__init__.py b/src/backend/base/langflow/interface/wrappers/__init__.py
similarity index 100%
rename from src/backend/langflow/template/template/__init__.py
rename to src/backend/base/langflow/interface/wrappers/__init__.py
diff --git a/src/backend/langflow/interface/wrappers/base.py b/src/backend/base/langflow/interface/wrappers/base.py
similarity index 100%
rename from src/backend/langflow/interface/wrappers/base.py
rename to src/backend/base/langflow/interface/wrappers/base.py
diff --git a/src/backend/langflow/utils/__init__.py b/src/backend/base/langflow/legacy_custom/__init__.py
similarity index 100%
rename from src/backend/langflow/utils/__init__.py
rename to src/backend/base/langflow/legacy_custom/__init__.py
diff --git a/src/backend/langflow/custom/customs.py b/src/backend/base/langflow/legacy_custom/customs.py
similarity index 100%
rename from src/backend/langflow/custom/customs.py
rename to src/backend/base/langflow/legacy_custom/customs.py
diff --git a/src/backend/base/langflow/load.py b/src/backend/base/langflow/load.py
new file mode 100644
index 000000000..2f2854134
--- /dev/null
+++ b/src/backend/base/langflow/load.py
@@ -0,0 +1 @@
+from langflow.processing.load import load_flow_from_json # noqa: F401
diff --git a/src/backend/langflow/main.py b/src/backend/base/langflow/main.py
similarity index 100%
rename from src/backend/langflow/main.py
rename to src/backend/base/langflow/main.py
diff --git a/src/backend/langflow/memory.py b/src/backend/base/langflow/memory.py
similarity index 100%
rename from src/backend/langflow/memory.py
rename to src/backend/base/langflow/memory.py
diff --git a/src/backend/base/langflow/processing/__init__.py b/src/backend/base/langflow/processing/__init__.py
new file mode 100644
index 000000000..e69de29bb
diff --git a/src/backend/langflow/processing/base.py b/src/backend/base/langflow/processing/base.py
similarity index 100%
rename from src/backend/langflow/processing/base.py
rename to src/backend/base/langflow/processing/base.py
diff --git a/src/backend/langflow/processing/load.py b/src/backend/base/langflow/processing/load.py
similarity index 100%
rename from src/backend/langflow/processing/load.py
rename to src/backend/base/langflow/processing/load.py
diff --git a/src/backend/langflow/processing/process.py b/src/backend/base/langflow/processing/process.py
similarity index 69%
rename from src/backend/langflow/processing/process.py
rename to src/backend/base/langflow/processing/process.py
index 6063afbbe..fa499472f 100644
--- a/src/backend/langflow/processing/process.py
+++ b/src/backend/base/langflow/processing/process.py
@@ -1,20 +1,15 @@
-import asyncio
-from typing import TYPE_CHECKING, Any, Coroutine, Dict, List, Optional, Tuple, Union
+from typing import TYPE_CHECKING, Any, Dict, List, Optional, Tuple, Union
from langchain.agents import AgentExecutor
-from langchain.chains.base import Chain
-from langchain.schema import AgentAction, Document
-from langchain_community.vectorstores import VectorStore
-from langchain_core.messages import AIMessage
-from langchain_core.runnables.base import Runnable
+from langchain.schema import AgentAction
from loguru import logger
from pydantic import BaseModel
from langflow.graph.graph.base import Graph
-from langflow.graph.schema import INPUT_FIELD_NAME, RunOutputs
+from langflow.graph.schema import RunOutputs
from langflow.graph.vertex.base import Vertex
-from langflow.interface.custom.custom_component import CustomComponent
from langflow.interface.run import get_memory_key, update_memory_keys
+from langflow.schema.schema import INPUT_FIELD_NAME
from langflow.services.session.service import SessionService
if TYPE_CHECKING:
@@ -124,73 +119,6 @@ def update_inputs_dict(inputs: dict, artifacts: Dict[str, Any]) -> dict:
return inputs
-async def process_runnable(runnable: Runnable, inputs: Union[dict, List[dict]]):
- if isinstance(inputs, List) and hasattr(runnable, "abatch"):
- result = await runnable.abatch(inputs)
- elif isinstance(inputs, dict) and hasattr(runnable, "ainvoke"):
- result = await runnable.ainvoke(inputs)
- else:
- raise ValueError(f"Runnable {runnable} does not support inputs of type {type(inputs)}")
- # Check if the result is a list of AIMessages
- if isinstance(result, list) and all(isinstance(r, AIMessage) for r in result):
- result = [r.content for r in result]
- elif isinstance(result, AIMessage):
- result = result.content
- return result
-
-
-async def process_inputs_dict(built_object: Union[Chain, VectorStore, Runnable], inputs: dict):
- if isinstance(built_object, Chain):
- if inputs is None:
- raise ValueError("Inputs must be provided for a Chain")
- logger.debug("Generating result and thought")
- result = get_result_and_thought(built_object, inputs)
-
- logger.debug("Generated result and thought")
- elif isinstance(built_object, VectorStore) and "query" in inputs:
- if isinstance(inputs, dict) and "search_type" not in inputs:
- inputs["search_type"] = "similarity"
- logger.info("search_type not provided, using default value: similarity")
- result = built_object.search(**inputs)
- elif isinstance(built_object, Document):
- result = built_object.dict()
- elif isinstance(built_object, Runnable):
- result = await process_runnable(built_object, inputs)
- if isinstance(result, list):
- result = [r.content if hasattr(r, "content") else r for r in result]
- elif hasattr(result, "content"):
- result = result.content
- else:
- result = result
- elif hasattr(built_object, "run") and isinstance(built_object, CustomComponent):
- result = built_object.run(inputs)
- else:
- result = None
-
- return result
-
-
-async def process_inputs_list(built_object: Runnable, inputs: List[dict]):
- return await process_runnable(built_object, inputs)
-
-
-async def generate_result(built_object: Union[Chain, VectorStore, Runnable], inputs: Union[dict, List[dict]]):
- if isinstance(inputs, dict):
- result = await process_inputs_dict(built_object, inputs)
- elif isinstance(inputs, List) and isinstance(built_object, Runnable):
- result = await process_inputs_list(built_object, inputs)
- else:
- raise ValueError(f"Invalid inputs type: {type(inputs)}")
-
- if result is None:
- logger.warning(f"Unknown built_object type: {type(built_object)}")
- if isinstance(built_object, Coroutine):
- result = asyncio.run(built_object)
- result = built_object
-
- return result
-
-
class Result(BaseModel):
result: Any
session_id: str
@@ -208,11 +136,7 @@ async def run_graph(
) -> tuple[List[RunOutputs], str]:
"""Run the graph and generate the result"""
inputs = inputs or []
- if isinstance(graph, dict):
- graph_data = graph
- graph = Graph.from_payload(graph, flow_id=flow_id)
- else:
- graph_data = graph._graph_data
+ graph_data = graph._graph_data
if session_id is None and session_service is not None:
session_id_str = session_service.generate_key(session_id=flow_id, data_graph=graph_data)
elif session_id is not None:
@@ -221,22 +145,25 @@ async def run_graph(
raise ValueError("session_id or session_service must be provided")
components = []
inputs_list = []
+ types = []
for input_value_request in inputs:
if input_value_request.input_value is None:
logger.warning("InputValueRequest input_value cannot be None, defaulting to an empty string.")
input_value_request.input_value = ""
components.append(input_value_request.components or [])
inputs_list.append({INPUT_FIELD_NAME: input_value_request.input_value})
+ types.append(input_value_request.type)
- run_outputs = await graph.run(
+ run_outputs = await graph.arun(
inputs_list,
components,
+ types,
outputs or [],
stream=stream,
session_id=session_id_str or "",
)
if session_id_str and session_service:
- session_service.update_session(session_id_str, (graph, artifacts))
+ await session_service.update_session(session_id_str, (graph, artifacts))
return run_outputs, session_id_str
@@ -262,7 +189,10 @@ def apply_tweaks(node: Dict[str, Any], node_tweaks: Dict[str, Any]) -> None:
return
for tweak_name, tweak_value in node_tweaks.items():
- if tweak_name and tweak_value and tweak_name in template_data:
+ if tweak_name not in template_data:
+ logger.warning(f"Node {node.get('id')} does not have a tweak named {tweak_name}")
+ continue
+ if tweak_name in template_data:
key = tweak_name if tweak_name == "file_path" else "value"
template_data[tweak_name][key] = tweak_value
@@ -290,17 +220,20 @@ def process_tweaks(graph_data: Dict[str, Any], tweaks: Union["Tweaks", Dict[str,
nodes = validate_input(graph_data, tweaks)
nodes_map = {node.get("id"): node for node in nodes}
+ nodes_display_name_map = {node.get("data", {}).get("node", {}).get("display_name"): node for node in nodes}
all_nodes_tweaks = {}
for key, value in tweaks.items():
if isinstance(value, dict):
if node := nodes_map.get(key):
apply_tweaks(node, value)
+ elif node := nodes_display_name_map.get(key):
+ apply_tweaks(node, value)
else:
all_nodes_tweaks[key] = value
-
- for node in nodes:
- apply_tweaks(node, all_nodes_tweaks)
+ if all_nodes_tweaks:
+ for node in nodes:
+ apply_tweaks(node, all_nodes_tweaks)
return graph_data
diff --git a/src/backend/langflow/schema/__init__.py b/src/backend/base/langflow/schema/__init__.py
similarity index 100%
rename from src/backend/langflow/schema/__init__.py
rename to src/backend/base/langflow/schema/__init__.py
diff --git a/src/backend/langflow/schema/dotdict.py b/src/backend/base/langflow/schema/dotdict.py
similarity index 100%
rename from src/backend/langflow/schema/dotdict.py
rename to src/backend/base/langflow/schema/dotdict.py
diff --git a/src/backend/langflow/schema/schema.py b/src/backend/base/langflow/schema/schema.py
similarity index 99%
rename from src/backend/langflow/schema/schema.py
rename to src/backend/base/langflow/schema/schema.py
index 4079f90ac..93a733038 100644
--- a/src/backend/langflow/schema/schema.py
+++ b/src/backend/base/langflow/schema/schema.py
@@ -120,3 +120,6 @@ class Record(BaseModel):
# check which attributes the Record has by checking the keys in the data dictionary
def __dir__(self):
return super().__dir__() + list(self.data.keys())
+
+
+INPUT_FIELD_NAME = "input_value"
diff --git a/src/backend/langflow/server.py b/src/backend/base/langflow/server.py
similarity index 100%
rename from src/backend/langflow/server.py
rename to src/backend/base/langflow/server.py
diff --git a/src/backend/langflow/services/__init__.py b/src/backend/base/langflow/services/__init__.py
similarity index 100%
rename from src/backend/langflow/services/__init__.py
rename to src/backend/base/langflow/services/__init__.py
diff --git a/src/backend/base/langflow/services/auth/__init__.py b/src/backend/base/langflow/services/auth/__init__.py
new file mode 100644
index 000000000..e69de29bb
diff --git a/src/backend/langflow/services/auth/factory.py b/src/backend/base/langflow/services/auth/factory.py
similarity index 100%
rename from src/backend/langflow/services/auth/factory.py
rename to src/backend/base/langflow/services/auth/factory.py
index b44019289..63d5d2a6d 100644
--- a/src/backend/langflow/services/auth/factory.py
+++ b/src/backend/base/langflow/services/auth/factory.py
@@ -1,5 +1,5 @@
-from langflow.services.factory import ServiceFactory
from langflow.services.auth.service import AuthService
+from langflow.services.factory import ServiceFactory
class AuthServiceFactory(ServiceFactory):
diff --git a/src/backend/langflow/services/auth/service.py b/src/backend/base/langflow/services/auth/service.py
similarity index 99%
rename from src/backend/langflow/services/auth/service.py
rename to src/backend/base/langflow/services/auth/service.py
index 8beef8dcb..5c3a89af6 100644
--- a/src/backend/langflow/services/auth/service.py
+++ b/src/backend/base/langflow/services/auth/service.py
@@ -1,6 +1,7 @@
-from langflow.services.base import Service
from typing import TYPE_CHECKING
+from langflow.services.base import Service
+
if TYPE_CHECKING:
from langflow.services.settings.service import SettingsService
diff --git a/src/backend/langflow/services/auth/utils.py b/src/backend/base/langflow/services/auth/utils.py
similarity index 97%
rename from src/backend/langflow/services/auth/utils.py
rename to src/backend/base/langflow/services/auth/utils.py
index 6babee5bf..d89330856 100644
--- a/src/backend/langflow/services/auth/utils.py
+++ b/src/backend/base/langflow/services/auth/utils.py
@@ -254,13 +254,13 @@ def get_user_id_from_token(token: str) -> UUID:
def create_user_tokens(user_id: UUID, db: Session = Depends(get_session), update_last_login: bool = False) -> dict:
settings_service = get_settings_service()
- access_token_expires = timedelta(minutes=settings_service.auth_settings.ACCESS_TOKEN_EXPIRE_MINUTES)
+ access_token_expires = timedelta(seconds=settings_service.auth_settings.ACCESS_TOKEN_EXPIRE_SECONDS)
access_token = create_token(
data={"sub": str(user_id)},
expires_delta=access_token_expires,
)
- refresh_token_expires = timedelta(minutes=settings_service.auth_settings.REFRESH_TOKEN_EXPIRE_MINUTES)
+ refresh_token_expires = timedelta(seconds=settings_service.auth_settings.REFRESH_TOKEN_EXPIRE_SECONDS)
refresh_token = create_token(
data={"sub": str(user_id), "type": "rf"},
expires_delta=refresh_token_expires,
@@ -333,7 +333,7 @@ def encrypt_api_key(api_key: str, settings_service=Depends(get_settings_service)
fernet = get_fernet(settings_service)
# Two-way encryption
encrypted_key = fernet.encrypt(api_key.encode())
- return encrypted_key
+ return encrypted_key.decode()
def decrypt_api_key(encrypted_api_key: str, settings_service=Depends(get_settings_service)):
diff --git a/src/backend/langflow/services/base.py b/src/backend/base/langflow/services/base.py
similarity index 100%
rename from src/backend/langflow/services/base.py
rename to src/backend/base/langflow/services/base.py
diff --git a/src/backend/base/langflow/services/cache/__init__.py b/src/backend/base/langflow/services/cache/__init__.py
new file mode 100644
index 000000000..48fb9837a
--- /dev/null
+++ b/src/backend/base/langflow/services/cache/__init__.py
@@ -0,0 +1,12 @@
+from langflow.services.cache.service import AsyncInMemoryCache, CacheService, RedisCache, ThreadingInMemoryCache
+
+from . import factory, service
+
+__all__ = [
+ "factory",
+ "service",
+ "ThreadingInMemoryCache",
+ "AsyncInMemoryCache",
+ "CacheService",
+ "RedisCache",
+]
diff --git a/src/backend/langflow/services/cache/base.py b/src/backend/base/langflow/services/cache/base.py
similarity index 99%
rename from src/backend/langflow/services/cache/base.py
rename to src/backend/base/langflow/services/cache/base.py
index e2d36b73c..3c484934b 100644
--- a/src/backend/langflow/services/cache/base.py
+++ b/src/backend/base/langflow/services/cache/base.py
@@ -6,7 +6,7 @@ from typing import Optional
from langflow.services.base import Service
-class BaseCacheService(Service):
+class CacheService(Service):
"""
Abstract base class for a cache.
"""
diff --git a/src/backend/langflow/services/cache/factory.py b/src/backend/base/langflow/services/cache/factory.py
similarity index 88%
rename from src/backend/langflow/services/cache/factory.py
rename to src/backend/base/langflow/services/cache/factory.py
index 48c518b31..a64b47f3a 100644
--- a/src/backend/langflow/services/cache/factory.py
+++ b/src/backend/base/langflow/services/cache/factory.py
@@ -1,11 +1,6 @@
from typing import TYPE_CHECKING
-from langflow.services.cache.service import (
- AsyncInMemoryCache,
- BaseCacheService,
- RedisCache,
- ThreadingInMemoryCache,
-)
+from langflow.services.cache.service import AsyncInMemoryCache, CacheService, RedisCache, ThreadingInMemoryCache
from langflow.services.factory import ServiceFactory
from langflow.utils.logger import logger
@@ -15,7 +10,7 @@ if TYPE_CHECKING:
class CacheServiceFactory(ServiceFactory):
def __init__(self):
- super().__init__(BaseCacheService)
+ super().__init__(CacheService)
def create(self, settings_service: "SettingsService"):
# Here you would have logic to create and configure a CacheService
diff --git a/src/backend/langflow/services/cache/service.py b/src/backend/base/langflow/services/cache/service.py
similarity index 99%
rename from src/backend/langflow/services/cache/service.py
rename to src/backend/base/langflow/services/cache/service.py
index d86c89336..4ae4dc540 100644
--- a/src/backend/langflow/services/cache/service.py
+++ b/src/backend/base/langflow/services/cache/service.py
@@ -8,10 +8,10 @@ from typing import Optional
from loguru import logger
from langflow.services.base import Service
-from langflow.services.cache.base import AsyncBaseCacheService, BaseCacheService
+from langflow.services.cache.base import AsyncBaseCacheService, CacheService
-class ThreadingInMemoryCache(BaseCacheService, Service):
+class ThreadingInMemoryCache(CacheService, Service):
"""
A simple in-memory cache using an OrderedDict.
@@ -179,7 +179,7 @@ class ThreadingInMemoryCache(BaseCacheService, Service):
return f"InMemoryCache(max_size={self.max_size}, expiration_time={self.expiration_time})"
-class RedisCache(BaseCacheService, Service):
+class RedisCache(CacheService):
"""
A Redis-based cache implementation.
diff --git a/src/backend/langflow/services/cache/utils.py b/src/backend/base/langflow/services/cache/utils.py
similarity index 100%
rename from src/backend/langflow/services/cache/utils.py
rename to src/backend/base/langflow/services/cache/utils.py
diff --git a/src/backend/base/langflow/services/chat/__init__.py b/src/backend/base/langflow/services/chat/__init__.py
new file mode 100644
index 000000000..e69de29bb
diff --git a/src/backend/langflow/services/chat/cache.py b/src/backend/base/langflow/services/chat/cache.py
similarity index 99%
rename from src/backend/langflow/services/chat/cache.py
rename to src/backend/base/langflow/services/chat/cache.py
index f6247b540..959ea877c 100644
--- a/src/backend/langflow/services/chat/cache.py
+++ b/src/backend/base/langflow/services/chat/cache.py
@@ -1,10 +1,11 @@
from contextlib import contextmanager
from typing import Any, Awaitable, Callable, List, Optional
-from langflow.services.base import Service
import pandas as pd
from PIL import Image
+from langflow.services.base import Service
+
class Subject:
"""Base class for implementing the observer pattern."""
diff --git a/src/backend/langflow/services/chat/config.py b/src/backend/base/langflow/services/chat/config.py
similarity index 100%
rename from src/backend/langflow/services/chat/config.py
rename to src/backend/base/langflow/services/chat/config.py
diff --git a/src/backend/langflow/services/chat/factory.py b/src/backend/base/langflow/services/chat/factory.py
similarity index 100%
rename from src/backend/langflow/services/chat/factory.py
rename to src/backend/base/langflow/services/chat/factory.py
diff --git a/src/backend/langflow/services/chat/service.py b/src/backend/base/langflow/services/chat/service.py
similarity index 93%
rename from src/backend/langflow/services/chat/service.py
rename to src/backend/base/langflow/services/chat/service.py
index 4df75d437..072920418 100644
--- a/src/backend/langflow/services/chat/service.py
+++ b/src/backend/base/langflow/services/chat/service.py
@@ -36,4 +36,4 @@ class ChatService(Service):
"""
Clear the cache for a client.
"""
- self.cache_service.delete(flow_id, lock=lock or self._cache_locks[flow_id])
+ await self.cache_service.delete(flow_id, lock=lock or self._cache_locks[flow_id])
diff --git a/src/backend/langflow/services/chat/utils.py b/src/backend/base/langflow/services/chat/utils.py
similarity index 99%
rename from src/backend/langflow/services/chat/utils.py
rename to src/backend/base/langflow/services/chat/utils.py
index 0562b9df2..271c0e85b 100644
--- a/src/backend/langflow/services/chat/utils.py
+++ b/src/backend/base/langflow/services/chat/utils.py
@@ -3,10 +3,11 @@ from typing import Any
from langchain.agents import AgentExecutor
from langchain.chains.base import Chain
from langchain_core.runnables import Runnable
+from loguru import logger
+
from langflow.api.v1.schemas import ChatMessage
from langflow.interface.utils import try_setting_streaming_options
from langflow.processing.base import get_result_and_steps
-from loguru import logger
LANGCHAIN_RUNNABLES = (Chain, Runnable, AgentExecutor)
diff --git a/src/backend/base/langflow/services/credentials/__init__.py b/src/backend/base/langflow/services/credentials/__init__.py
new file mode 100644
index 000000000..e69de29bb
diff --git a/src/backend/langflow/services/credentials/factory.py b/src/backend/base/langflow/services/credentials/factory.py
similarity index 100%
rename from src/backend/langflow/services/credentials/factory.py
rename to src/backend/base/langflow/services/credentials/factory.py
diff --git a/src/backend/langflow/services/credentials/service.py b/src/backend/base/langflow/services/credentials/service.py
similarity index 100%
rename from src/backend/langflow/services/credentials/service.py
rename to src/backend/base/langflow/services/credentials/service.py
diff --git a/src/backend/base/langflow/services/database/__init__.py b/src/backend/base/langflow/services/database/__init__.py
new file mode 100644
index 000000000..e69de29bb
diff --git a/src/backend/langflow/services/database/factory.py b/src/backend/base/langflow/services/database/factory.py
similarity index 99%
rename from src/backend/langflow/services/database/factory.py
rename to src/backend/base/langflow/services/database/factory.py
index 57bf1668d..3b03da131 100644
--- a/src/backend/langflow/services/database/factory.py
+++ b/src/backend/base/langflow/services/database/factory.py
@@ -1,4 +1,6 @@
from typing import TYPE_CHECKING
+
+
from langflow.services.database.service import DatabaseService
from langflow.services.factory import ServiceFactory
diff --git a/src/backend/langflow/services/database/models/__init__.py b/src/backend/base/langflow/services/database/models/__init__.py
similarity index 100%
rename from src/backend/langflow/services/database/models/__init__.py
rename to src/backend/base/langflow/services/database/models/__init__.py
diff --git a/src/backend/langflow/services/database/models/api_key/__init__.py b/src/backend/base/langflow/services/database/models/api_key/__init__.py
similarity index 100%
rename from src/backend/langflow/services/database/models/api_key/__init__.py
rename to src/backend/base/langflow/services/database/models/api_key/__init__.py
diff --git a/src/backend/langflow/services/database/models/api_key/crud.py b/src/backend/base/langflow/services/database/models/api_key/crud.py
similarity index 100%
rename from src/backend/langflow/services/database/models/api_key/crud.py
rename to src/backend/base/langflow/services/database/models/api_key/crud.py
diff --git a/src/backend/langflow/services/database/models/api_key/model.py b/src/backend/base/langflow/services/database/models/api_key/model.py
similarity index 100%
rename from src/backend/langflow/services/database/models/api_key/model.py
rename to src/backend/base/langflow/services/database/models/api_key/model.py
diff --git a/src/backend/langflow/services/database/models/base.py b/src/backend/base/langflow/services/database/models/base.py
similarity index 100%
rename from src/backend/langflow/services/database/models/base.py
rename to src/backend/base/langflow/services/database/models/base.py
diff --git a/src/backend/langflow/services/database/models/flow/__init__.py b/src/backend/base/langflow/services/database/models/flow/__init__.py
similarity index 100%
rename from src/backend/langflow/services/database/models/flow/__init__.py
rename to src/backend/base/langflow/services/database/models/flow/__init__.py
diff --git a/src/backend/langflow/services/database/models/flow/model.py b/src/backend/base/langflow/services/database/models/flow/model.py
similarity index 98%
rename from src/backend/langflow/services/database/models/flow/model.py
rename to src/backend/base/langflow/services/database/models/flow/model.py
index 8a97e97a1..95311909c 100644
--- a/src/backend/langflow/services/database/models/flow/model.py
+++ b/src/backend/base/langflow/services/database/models/flow/model.py
@@ -108,7 +108,7 @@ class Flow(FlowBase, table=True):
"description": serialized.pop("description"),
"updated_at": serialized.pop("updated_at"),
}
- record = Record(text=data.get("name"), data=data)
+ record = Record(data=data)
return record
diff --git a/src/backend/langflow/services/database/models/user/__init__.py b/src/backend/base/langflow/services/database/models/user/__init__.py
similarity index 100%
rename from src/backend/langflow/services/database/models/user/__init__.py
rename to src/backend/base/langflow/services/database/models/user/__init__.py
diff --git a/src/backend/langflow/services/database/models/user/crud.py b/src/backend/base/langflow/services/database/models/user/crud.py
similarity index 99%
rename from src/backend/langflow/services/database/models/user/crud.py
rename to src/backend/base/langflow/services/database/models/user/crud.py
index e8f58735c..5a948815e 100644
--- a/src/backend/langflow/services/database/models/user/crud.py
+++ b/src/backend/base/langflow/services/database/models/user/crud.py
@@ -3,12 +3,13 @@ from typing import Optional, Union
from uuid import UUID
from fastapi import Depends, HTTPException, status
-from langflow.services.database.models.user.model import User, UserUpdate
-from langflow.services.deps import get_session
from sqlalchemy.exc import IntegrityError
from sqlalchemy.orm.attributes import flag_modified
from sqlmodel import Session, select
+from langflow.services.database.models.user.model import User, UserUpdate
+from langflow.services.deps import get_session
+
def get_user_by_username(db: Session, username: str) -> Union[User, None]:
return db.exec(select(User).where(User.username == username)).first()
diff --git a/src/backend/langflow/services/database/models/user/model.py b/src/backend/base/langflow/services/database/models/user/model.py
similarity index 100%
rename from src/backend/langflow/services/database/models/user/model.py
rename to src/backend/base/langflow/services/database/models/user/model.py
diff --git a/src/backend/langflow/services/database/models/variable/__init__.py b/src/backend/base/langflow/services/database/models/variable/__init__.py
similarity index 100%
rename from src/backend/langflow/services/database/models/variable/__init__.py
rename to src/backend/base/langflow/services/database/models/variable/__init__.py
diff --git a/src/backend/langflow/services/database/models/variable/model.py b/src/backend/base/langflow/services/database/models/variable/model.py
similarity index 100%
rename from src/backend/langflow/services/database/models/variable/model.py
rename to src/backend/base/langflow/services/database/models/variable/model.py
diff --git a/src/backend/langflow/services/database/service.py b/src/backend/base/langflow/services/database/service.py
similarity index 100%
rename from src/backend/langflow/services/database/service.py
rename to src/backend/base/langflow/services/database/service.py
diff --git a/src/backend/langflow/services/database/utils.py b/src/backend/base/langflow/services/database/utils.py
similarity index 100%
rename from src/backend/langflow/services/database/utils.py
rename to src/backend/base/langflow/services/database/utils.py
diff --git a/src/backend/langflow/services/deps.py b/src/backend/base/langflow/services/deps.py
similarity index 88%
rename from src/backend/langflow/services/deps.py
rename to src/backend/base/langflow/services/deps.py
index 6ece86008..e1cc0c2c2 100644
--- a/src/backend/langflow/services/deps.py
+++ b/src/backend/base/langflow/services/deps.py
@@ -6,7 +6,7 @@ from langflow.services import ServiceType, service_manager
if TYPE_CHECKING:
from sqlmodel import Session
- from langflow.services.cache.service import BaseCacheService
+ from langflow.services.cache.service import CacheService
from langflow.services.chat.service import ChatService
from langflow.services.credentials.service import VariableService
from langflow.services.database.service import DatabaseService
@@ -21,7 +21,7 @@ if TYPE_CHECKING:
def get_socket_service() -> "SocketIOService":
- return service_manager.get(ServiceType.SOCKET_IO_SERVICE) # type: ignore
+ return service_manager.get(ServiceType.SOCKETIO_SERVICE) # type: ignore
def get_storage_service() -> "StorageService":
@@ -58,6 +58,16 @@ def get_session() -> Generator["Session", None, None]:
@contextmanager
def session_scope():
+ """
+ Context manager for managing a session scope.
+
+ Yields:
+ session: The session object.
+
+ Raises:
+ Exception: If an error occurs during the session scope.
+
+ """
session = next(get_session())
try:
yield session
@@ -69,7 +79,7 @@ def session_scope():
session.close()
-def get_cache_service() -> "BaseCacheService":
+def get_cache_service() -> "CacheService":
return service_manager.get(ServiceType.CACHE_SERVICE) # type: ignore
diff --git a/src/backend/base/langflow/services/factory.py b/src/backend/base/langflow/services/factory.py
new file mode 100644
index 000000000..4780b53c7
--- /dev/null
+++ b/src/backend/base/langflow/services/factory.py
@@ -0,0 +1,83 @@
+import importlib
+import inspect
+from typing import TYPE_CHECKING, Type, get_type_hints
+
+from cachetools import LRUCache, cached
+from loguru import logger
+
+from langflow.services.schema import ServiceType
+
+if TYPE_CHECKING:
+ from langflow.services.base import Service
+
+
+class ServiceFactory:
+ def __init__(
+ self,
+ service_class,
+ ):
+ self.service_class = service_class
+ self.dependencies = infer_service_types(self, import_all_services_into_a_dict())
+
+ def create(self, *args, **kwargs) -> "Service":
+ raise self.service_class(*args, **kwargs)
+
+
+def hash_factory(factory: ServiceFactory) -> str:
+ return factory.service_class.__name__
+
+
+def hash_dict(d: dict) -> str:
+ return str(d)
+
+
+def hash_infer_service_types_args(factory_class: Type[ServiceFactory], available_services=None) -> str:
+ factory_hash = hash_factory(factory_class)
+ services_hash = hash_dict(available_services)
+ return f"{factory_hash}_{services_hash}"
+
+
+@cached(cache=LRUCache(maxsize=10), key=hash_infer_service_types_args)
+def infer_service_types(factory_class: Type[ServiceFactory], available_services=None) -> "ServiceType":
+ create_method = factory_class.create
+ type_hints = get_type_hints(create_method, globalns=available_services)
+ service_types = []
+ for param_name, param_type in type_hints.items():
+ # Skip the return type if it's included in type hints
+ if param_name == "return":
+ continue
+
+ # Convert the type to the expected enum format directly without appending "_SERVICE"
+ type_name = param_type.__name__.upper().replace("SERVICE", "_SERVICE")
+
+ try:
+ # Attempt to find a matching enum value
+ service_type = ServiceType[type_name]
+ service_types.append(service_type)
+ except KeyError:
+ raise ValueError(f"No matching ServiceType for parameter type: {param_type.__name__}")
+ return service_types
+
+
+@cached(cache=LRUCache(maxsize=1))
+def import_all_services_into_a_dict():
+ # Services are all in langflow.services.{service_name}.service
+ # and are subclass of Service
+ # We want to import all of them and put them in a dict
+ # to use as globals
+ from langflow.services.base import Service
+
+ services = {}
+ for service_type in ServiceType:
+ try:
+ service_name = ServiceType(service_type).value.replace("_service", "")
+ module_name = f"langflow.services.{service_name}.service"
+ module = importlib.import_module(module_name)
+ for name, obj in inspect.getmembers(module, inspect.isclass):
+ if issubclass(obj, Service) and obj is not Service:
+ services[name] = obj
+ break
+ except Exception as exc:
+ logger.exception(exc)
+ raise RuntimeError("Could not initialize services. Please check your settings.") from exc
+ return services
diff --git a/src/backend/langflow/services/manager.py b/src/backend/base/langflow/services/manager.py
similarity index 61%
rename from src/backend/langflow/services/manager.py
rename to src/backend/base/langflow/services/manager.py
index 0adeefd29..20186f7da 100644
--- a/src/backend/langflow/services/manager.py
+++ b/src/backend/base/langflow/services/manager.py
@@ -1,11 +1,11 @@
-from typing import TYPE_CHECKING, Dict, List, Optional
+from typing import TYPE_CHECKING, Dict
-from langflow.services.schema import ServiceType
from loguru import logger
if TYPE_CHECKING:
from langflow.services.base import Service
from langflow.services.factory import ServiceFactory
+ from langflow.services.schema import ServiceType
class ServiceManager:
@@ -16,23 +16,19 @@ class ServiceManager:
def __init__(self):
self.services: Dict[str, "Service"] = {}
self.factories = {}
- self.dependencies = {}
def register_factory(
self,
service_factory: "ServiceFactory",
- dependencies: Optional[List[ServiceType]] = None,
):
"""
Registers a new factory with dependencies.
"""
- if dependencies is None:
- dependencies = []
+
service_name = service_factory.service_class.name
self.factories[service_name] = service_factory
- self.dependencies[service_name] = dependencies
- def get(self, service_name: ServiceType) -> "Service":
+ def get(self, service_name: "ServiceType") -> "Service":
"""
Get (or create) a service by its name.
"""
@@ -41,7 +37,7 @@ class ServiceManager:
return self.services[service_name]
- def _create_service(self, service_name: ServiceType):
+ def _create_service(self, service_name: "ServiceType"):
"""
Create a new service given its name, handling dependencies.
"""
@@ -49,25 +45,26 @@ class ServiceManager:
self._validate_service_creation(service_name)
# Create dependencies first
- for dependency in self.dependencies.get(service_name, []):
+ factory = self.factories.get(service_name)
+ for dependency in factory.dependencies:
if dependency not in self.services:
self._create_service(dependency)
# Collect the dependent services
- dependent_services = {dep.value: self.services[dep] for dep in self.dependencies.get(service_name, [])}
+ dependent_services = {dep.value: self.services[dep] for dep in factory.dependencies}
# Create the actual service
self.services[service_name] = self.factories[service_name].create(**dependent_services)
self.services[service_name].set_ready()
- def _validate_service_creation(self, service_name: ServiceType):
+ def _validate_service_creation(self, service_name: "ServiceType"):
"""
Validate whether the service can be created.
"""
if service_name not in self.factories:
raise ValueError(f"No factory registered for the service class '{service_name.name}'")
- def update(self, service_name: ServiceType):
+ def update(self, service_name: "ServiceType"):
"""
Update a service by its name.
"""
@@ -90,36 +87,11 @@ class ServiceManager:
logger.exception(exc)
self.services = {}
self.factories = {}
- self.dependencies = {}
service_manager = ServiceManager()
-def reinitialize_services():
- """
- Reinitialize all the services needed.
- """
-
- service_manager.update(ServiceType.SETTINGS_SERVICE)
- service_manager.update(ServiceType.DATABASE_SERVICE)
- service_manager.update(ServiceType.CACHE_SERVICE)
- service_manager.update(ServiceType.CHAT_SERVICE)
- service_manager.update(ServiceType.SESSION_SERVICE)
- service_manager.update(ServiceType.AUTH_SERVICE)
- service_manager.update(ServiceType.TASK_SERVICE)
-
- # Test cache connection
- service_manager.get(ServiceType.CACHE_SERVICE)
- # Test database connection
- service_manager.get(ServiceType.DATABASE_SERVICE)
-
- # Test cache connection
- service_manager.get(ServiceType.CACHE_SERVICE)
- # Test database connection
- service_manager.get(ServiceType.DATABASE_SERVICE)
-
-
def initialize_settings_service():
"""
Initialize the settings manager.
@@ -134,13 +106,12 @@ def initialize_session_service():
Initialize the session manager.
"""
from langflow.services.cache import factory as cache_factory
- from langflow.services.session import factory as session_service_factory # type: ignore
+ from langflow.services.session import (
+ factory as session_service_factory,
+ ) # type: ignore
initialize_settings_service()
- service_manager.register_factory(cache_factory.CacheServiceFactory(), dependencies=[ServiceType.SETTINGS_SERVICE])
+ service_manager.register_factory(cache_factory.CacheServiceFactory())
- service_manager.register_factory(
- session_service_factory.SessionServiceFactory(),
- dependencies=[ServiceType.CACHE_SERVICE],
- )
+ service_manager.register_factory(session_service_factory.SessionServiceFactory())
diff --git a/src/backend/base/langflow/services/monitor/__init__.py b/src/backend/base/langflow/services/monitor/__init__.py
new file mode 100644
index 000000000..e69de29bb
diff --git a/src/backend/langflow/services/monitor/factory.py b/src/backend/base/langflow/services/monitor/factory.py
similarity index 72%
rename from src/backend/langflow/services/monitor/factory.py
rename to src/backend/base/langflow/services/monitor/factory.py
index d9e6caf72..054e6bb3f 100644
--- a/src/backend/langflow/services/monitor/factory.py
+++ b/src/backend/base/langflow/services/monitor/factory.py
@@ -1,5 +1,6 @@
from langflow.services.factory import ServiceFactory
from langflow.services.monitor.service import MonitorService
+from langflow.services.settings.service import SettingsService
class MonitorServiceFactory(ServiceFactory):
@@ -8,5 +9,5 @@ class MonitorServiceFactory(ServiceFactory):
def __init__(self):
super().__init__(MonitorService)
- def create(self, settings_service):
+ def create(self, settings_service: SettingsService):
return self.service_class(settings_service)
diff --git a/src/backend/langflow/services/monitor/schema.py b/src/backend/base/langflow/services/monitor/schema.py
similarity index 86%
rename from src/backend/langflow/services/monitor/schema.py
rename to src/backend/base/langflow/services/monitor/schema.py
index c74a0fb88..80636a554 100644
--- a/src/backend/langflow/services/monitor/schema.py
+++ b/src/backend/base/langflow/services/monitor/schema.py
@@ -79,7 +79,12 @@ class VertexBuildModel(BaseModel):
@field_serializer("data", "artifacts")
def serialize_dict(v):
if isinstance(v, dict):
- # map_dict = to_map(v)
+ # check if the value of each key is a BaseModel or a list of BaseModels
+ for key, value in v.items():
+ if isinstance(value, BaseModel):
+ v[key] = value.model_dump()
+ elif isinstance(value, list) and all(isinstance(i, BaseModel) for i in value):
+ v[key] = [i.model_dump() for i in value]
return json.dumps(v)
return v
@@ -92,6 +97,12 @@ class VertexBuildModel(BaseModel):
return v
return v
+ @field_serializer("params")
+ def serialize_params(v):
+ if isinstance(v, list) and all(isinstance(i, BaseModel) for i in v):
+ return json.dumps([i.model_dump() for i in v])
+ return v
+
@validator("data", pre=True)
def validate_data(cls, v):
if isinstance(v, str):
diff --git a/src/backend/langflow/services/monitor/service.py b/src/backend/base/langflow/services/monitor/service.py
similarity index 95%
rename from src/backend/langflow/services/monitor/service.py
rename to src/backend/base/langflow/services/monitor/service.py
index 7a3f26517..ecf710eea 100644
--- a/src/backend/langflow/services/monitor/service.py
+++ b/src/backend/base/langflow/services/monitor/service.py
@@ -7,15 +7,8 @@ from loguru import logger
from platformdirs import user_cache_dir
from langflow.services.base import Service
-from langflow.services.monitor.schema import (
- MessageModel,
- TransactionModel,
- VertexBuildModel,
-)
-from langflow.services.monitor.utils import (
- add_row_to_table,
- drop_and_create_table_if_schema_mismatch,
-)
+from langflow.services.monitor.schema import MessageModel, TransactionModel, VertexBuildModel
+from langflow.services.monitor.utils import add_row_to_table, drop_and_create_table_if_schema_mismatch
if TYPE_CHECKING:
from langflow.services.settings.manager import SettingsService
diff --git a/src/backend/langflow/services/monitor/utils.py b/src/backend/base/langflow/services/monitor/utils.py
similarity index 100%
rename from src/backend/langflow/services/monitor/utils.py
rename to src/backend/base/langflow/services/monitor/utils.py
diff --git a/src/backend/base/langflow/services/plugins/__init__.py b/src/backend/base/langflow/services/plugins/__init__.py
new file mode 100644
index 000000000..e69de29bb
diff --git a/src/backend/langflow/services/plugins/base.py b/src/backend/base/langflow/services/plugins/base.py
similarity index 100%
rename from src/backend/langflow/services/plugins/base.py
rename to src/backend/base/langflow/services/plugins/base.py
diff --git a/src/backend/langflow/services/plugins/factory.py b/src/backend/base/langflow/services/plugins/factory.py
similarity index 100%
rename from src/backend/langflow/services/plugins/factory.py
rename to src/backend/base/langflow/services/plugins/factory.py
diff --git a/src/backend/langflow/services/plugins/langfuse_plugin.py b/src/backend/base/langflow/services/plugins/langfuse_plugin.py
similarity index 99%
rename from src/backend/langflow/services/plugins/langfuse_plugin.py
rename to src/backend/base/langflow/services/plugins/langfuse_plugin.py
index e5d3afdd6..e6d37d3c5 100644
--- a/src/backend/langflow/services/plugins/langfuse_plugin.py
+++ b/src/backend/base/langflow/services/plugins/langfuse_plugin.py
@@ -1,8 +1,9 @@
from typing import Optional
+from loguru import logger
+
from langflow.services.deps import get_settings_service
from langflow.services.plugins.base import CallbackPlugin
-from loguru import logger
class LangfuseInstance:
diff --git a/src/backend/langflow/services/plugins/service.py b/src/backend/base/langflow/services/plugins/service.py
similarity index 99%
rename from src/backend/langflow/services/plugins/service.py
rename to src/backend/base/langflow/services/plugins/service.py
index f7b2895ec..98f210fea 100644
--- a/src/backend/langflow/services/plugins/service.py
+++ b/src/backend/base/langflow/services/plugins/service.py
@@ -3,9 +3,10 @@ import inspect
import os
from typing import TYPE_CHECKING, Union
+from loguru import logger
+
from langflow.services.base import Service
from langflow.services.plugins.base import BasePlugin, CallbackPlugin
-from loguru import logger
if TYPE_CHECKING:
from langflow.services.settings.service import SettingsService
diff --git a/src/backend/langflow/services/schema.py b/src/backend/base/langflow/services/schema.py
similarity index 87%
rename from src/backend/langflow/services/schema.py
rename to src/backend/base/langflow/services/schema.py
index 75f57b621..1600c399e 100644
--- a/src/backend/langflow/services/schema.py
+++ b/src/backend/base/langflow/services/schema.py
@@ -14,9 +14,9 @@ class ServiceType(str, Enum):
CHAT_SERVICE = "chat_service"
SESSION_SERVICE = "session_service"
TASK_SERVICE = "task_service"
- PLUGIN_SERVICE = "plugin_service"
+ PLUGINS_SERVICE = "plugins_service"
STORE_SERVICE = "store_service"
VARIABLE_SERVICE = "variable_service"
STORAGE_SERVICE = "storage_service"
MONITOR_SERVICE = "monitor_service"
- SOCKET_IO_SERVICE = "socket_io_service"
+ SOCKETIO_SERVICE = "socket_service"
diff --git a/src/backend/base/langflow/services/session/__init__.py b/src/backend/base/langflow/services/session/__init__.py
new file mode 100644
index 000000000..e69de29bb
diff --git a/src/backend/langflow/services/session/factory.py b/src/backend/base/langflow/services/session/factory.py
similarity index 72%
rename from src/backend/langflow/services/session/factory.py
rename to src/backend/base/langflow/services/session/factory.py
index beb0bd6bd..d55bd5b46 100644
--- a/src/backend/langflow/services/session/factory.py
+++ b/src/backend/base/langflow/services/session/factory.py
@@ -1,14 +1,15 @@
from typing import TYPE_CHECKING
-from langflow.services.session.service import SessionService
+
from langflow.services.factory import ServiceFactory
+from langflow.services.session.service import SessionService
if TYPE_CHECKING:
- from langflow.services.cache.service import BaseCacheService
+ from langflow.services.cache.service import CacheService
class SessionServiceFactory(ServiceFactory):
def __init__(self):
super().__init__(SessionService)
- def create(self, cache_service: "BaseCacheService"):
+ def create(self, cache_service: "CacheService"):
return SessionService(cache_service)
diff --git a/src/backend/langflow/services/session/service.py b/src/backend/base/langflow/services/session/service.py
similarity index 67%
rename from src/backend/langflow/services/session/service.py
rename to src/backend/base/langflow/services/session/service.py
index 68fec0430..0bf4412e5 100644
--- a/src/backend/langflow/services/session/service.py
+++ b/src/backend/base/langflow/services/session/service.py
@@ -1,18 +1,16 @@
-from typing import TYPE_CHECKING, Optional
+from typing import Coroutine, Optional
from langflow.interface.run import build_sorted_vertices
from langflow.services.base import Service
+from langflow.services.cache.base import CacheService
from langflow.services.session.utils import compute_dict_hash, session_id_generator
-if TYPE_CHECKING:
- from langflow.services.cache.base import BaseCacheService
-
class SessionService(Service):
name = "session_service"
def __init__(self, cache_service):
- self.cache_service: "BaseCacheService" = cache_service
+ self.cache_service: "CacheService" = cache_service
async def load_session(self, key, flow_id: str, data_graph: Optional[dict] = None):
# Check if the data is cached
@@ -26,7 +24,7 @@ class SessionService(Service):
# If not cached, build the graph and cache it
graph, artifacts = await build_sorted_vertices(data_graph, flow_id)
- self.cache_service.set(key, (graph, artifacts))
+ await self.cache_service.set(key, (graph, artifacts))
return graph, artifacts
@@ -41,8 +39,14 @@ class SessionService(Service):
session_id = session_id_generator()
return self.build_key(session_id, data_graph=data_graph)
- def update_session(self, session_id, value):
- self.cache_service.set(session_id, value)
+ async def update_session(self, session_id, value):
+ result = self.cache_service.set(session_id, value)
+ # if it is a coroutine, await it
+ if isinstance(result, Coroutine):
+ await result
- def clear_session(self, session_id):
- self.cache_service.delete(session_id)
+ async def clear_session(self, session_id):
+ result = self.cache_service.delete(session_id)
+ # if it is a coroutine, await it
+ if isinstance(result, Coroutine):
+ await result
diff --git a/src/backend/langflow/services/session/utils.py b/src/backend/base/langflow/services/session/utils.py
similarity index 100%
rename from src/backend/langflow/services/session/utils.py
rename to src/backend/base/langflow/services/session/utils.py
diff --git a/src/backend/langflow/services/settings/__init__.py b/src/backend/base/langflow/services/settings/__init__.py
similarity index 100%
rename from src/backend/langflow/services/settings/__init__.py
rename to src/backend/base/langflow/services/settings/__init__.py
diff --git a/src/backend/langflow/services/settings/auth.py b/src/backend/base/langflow/services/settings/auth.py
similarity index 94%
rename from src/backend/langflow/services/settings/auth.py
rename to src/backend/base/langflow/services/settings/auth.py
index 11e08b1c4..3dd92a04a 100644
--- a/src/backend/langflow/services/settings/auth.py
+++ b/src/backend/base/langflow/services/settings/auth.py
@@ -6,10 +6,7 @@ from passlib.context import CryptContext
from pydantic import Field, SecretStr, validator
from pydantic_settings import BaseSettings
-from langflow.services.settings.constants import (
- DEFAULT_SUPERUSER,
- DEFAULT_SUPERUSER_PASSWORD,
-)
+from langflow.services.settings.constants import DEFAULT_SUPERUSER, DEFAULT_SUPERUSER_PASSWORD
from langflow.services.settings.utils import read_secret_from_file, write_secret_to_file
@@ -22,8 +19,8 @@ class AuthSettings(BaseSettings):
frozen=False,
)
ALGORITHM: str = "HS256"
- ACCESS_TOKEN_EXPIRE_MINUTES: int = 60
- REFRESH_TOKEN_EXPIRE_MINUTES: int = 60 * 12 * 7
+ ACCESS_TOKEN_EXPIRE_SECONDS: int = 60 * 60 # 1 hour
+ REFRESH_TOKEN_EXPIRE_SECONDS: int = 60 * 60 * 24 * 7 # 7 days
# API Key to execute /process endpoint
API_KEY_ALGORITHM: str = "HS256"
diff --git a/src/backend/langflow/services/settings/base.py b/src/backend/base/langflow/services/settings/base.py
similarity index 100%
rename from src/backend/langflow/services/settings/base.py
rename to src/backend/base/langflow/services/settings/base.py
diff --git a/src/backend/langflow/services/settings/constants.py b/src/backend/base/langflow/services/settings/constants.py
similarity index 100%
rename from src/backend/langflow/services/settings/constants.py
rename to src/backend/base/langflow/services/settings/constants.py
diff --git a/src/backend/langflow/services/settings/factory.py b/src/backend/base/langflow/services/settings/factory.py
similarity index 99%
rename from src/backend/langflow/services/settings/factory.py
rename to src/backend/base/langflow/services/settings/factory.py
index 713f13f82..a94e0abbe 100644
--- a/src/backend/langflow/services/settings/factory.py
+++ b/src/backend/base/langflow/services/settings/factory.py
@@ -1,6 +1,7 @@
from pathlib import Path
-from langflow.services.settings.service import SettingsService
+
from langflow.services.factory import ServiceFactory
+from langflow.services.settings.service import SettingsService
class SettingsServiceFactory(ServiceFactory):
diff --git a/src/backend/langflow/services/settings/manager.py b/src/backend/base/langflow/services/settings/manager.py
similarity index 100%
rename from src/backend/langflow/services/settings/manager.py
rename to src/backend/base/langflow/services/settings/manager.py
diff --git a/src/backend/langflow/services/settings/service.py b/src/backend/base/langflow/services/settings/service.py
similarity index 99%
rename from src/backend/langflow/services/settings/service.py
rename to src/backend/base/langflow/services/settings/service.py
index 46d825bd1..a66888924 100644
--- a/src/backend/langflow/services/settings/service.py
+++ b/src/backend/base/langflow/services/settings/service.py
@@ -1,10 +1,11 @@
import os
import yaml
+from loguru import logger
+
from langflow.services.base import Service
from langflow.services.settings.auth import AuthSettings
from langflow.services.settings.base import Settings
-from loguru import logger
class SettingsService(Service):
diff --git a/src/backend/langflow/services/settings/utils.py b/src/backend/base/langflow/services/settings/utils.py
similarity index 100%
rename from src/backend/langflow/services/settings/utils.py
rename to src/backend/base/langflow/services/settings/utils.py
diff --git a/src/backend/base/langflow/services/socket/__init__.py b/src/backend/base/langflow/services/socket/__init__.py
new file mode 100644
index 000000000..e69de29bb
diff --git a/src/backend/langflow/services/socket/factory.py b/src/backend/base/langflow/services/socket/factory.py
similarity index 59%
rename from src/backend/langflow/services/socket/factory.py
rename to src/backend/base/langflow/services/socket/factory.py
index dddb3c4fe..3ea6bb0ba 100644
--- a/src/backend/langflow/services/socket/factory.py
+++ b/src/backend/base/langflow/services/socket/factory.py
@@ -4,12 +4,14 @@ from langflow.services.factory import ServiceFactory
from langflow.services.socket.service import SocketIOService
if TYPE_CHECKING:
- from langflow.services.cache.service import BaseCacheService
+ from langflow.services.cache.service import CacheService
class SocketIOFactory(ServiceFactory):
def __init__(self):
- super().__init__(service_class=SocketIOService)
+ super().__init__(
+ service_class=SocketIOService,
+ )
- def create(self, cache_service: "BaseCacheService"):
+ def create(self, cache_service: "CacheService"):
return SocketIOService(cache_service)
diff --git a/src/backend/langflow/services/socket/service.py b/src/backend/base/langflow/services/socket/service.py
similarity index 94%
rename from src/backend/langflow/services/socket/service.py
rename to src/backend/base/langflow/services/socket/service.py
index 81d1fad3c..45cfc5fbc 100644
--- a/src/backend/langflow/services/socket/service.py
+++ b/src/backend/base/langflow/services/socket/service.py
@@ -8,13 +8,13 @@ from langflow.services.deps import get_chat_service
from langflow.services.socket.utils import build_vertex, get_vertices
if TYPE_CHECKING:
- from langflow.services.cache.service import BaseCacheService
+ from langflow.services.cache.service import CacheService
class SocketIOService(Service):
- name = "socket_io_service"
+ name = "socket_service"
- def __init__(self, cache_service: "BaseCacheService"):
+ def __init__(self, cache_service: "CacheService"):
self.cache_service = cache_service
def init(self, sio: socketio.AsyncServer):
diff --git a/src/backend/langflow/services/socket/utils.py b/src/backend/base/langflow/services/socket/utils.py
similarity index 100%
rename from src/backend/langflow/services/socket/utils.py
rename to src/backend/base/langflow/services/socket/utils.py
diff --git a/src/backend/base/langflow/services/storage/__init__.py b/src/backend/base/langflow/services/storage/__init__.py
new file mode 100644
index 000000000..e69de29bb
diff --git a/src/backend/langflow/services/storage/constants.py b/src/backend/base/langflow/services/storage/constants.py
similarity index 100%
rename from src/backend/langflow/services/storage/constants.py
rename to src/backend/base/langflow/services/storage/constants.py
diff --git a/src/backend/langflow/services/storage/factory.py b/src/backend/base/langflow/services/storage/factory.py
similarity index 72%
rename from src/backend/langflow/services/storage/factory.py
rename to src/backend/base/langflow/services/storage/factory.py
index be407d751..1b2baf050 100644
--- a/src/backend/langflow/services/storage/factory.py
+++ b/src/backend/base/langflow/services/storage/factory.py
@@ -1,19 +1,18 @@
-from typing import TYPE_CHECKING
-
-from langflow.services.factory import ServiceFactory
-from langflow.services.storage.service import StorageService
from loguru import logger
-if TYPE_CHECKING:
- from langflow.services.session.service import SessionService
- from langflow.services.settings.service import SettingsService
+from langflow.services.factory import ServiceFactory
+from langflow.services.session.service import SessionService
+from langflow.services.settings.service import SettingsService
+from langflow.services.storage.service import StorageService
class StorageServiceFactory(ServiceFactory):
def __init__(self):
- super().__init__(StorageService)
+ super().__init__(
+ StorageService,
+ )
- def create(self, session_service: "SessionService", settings_service: "SettingsService"):
+ def create(self, session_service: SessionService, settings_service: SettingsService):
storage_type = settings_service.settings.STORAGE_TYPE
if storage_type.lower() == "local":
from .local import LocalStorageService
diff --git a/src/backend/langflow/services/storage/local.py b/src/backend/base/langflow/services/storage/local.py
similarity index 100%
rename from src/backend/langflow/services/storage/local.py
rename to src/backend/base/langflow/services/storage/local.py
diff --git a/src/backend/langflow/services/storage/s3.py b/src/backend/base/langflow/services/storage/s3.py
similarity index 100%
rename from src/backend/langflow/services/storage/s3.py
rename to src/backend/base/langflow/services/storage/s3.py
diff --git a/src/backend/langflow/services/storage/service.py b/src/backend/base/langflow/services/storage/service.py
similarity index 100%
rename from src/backend/langflow/services/storage/service.py
rename to src/backend/base/langflow/services/storage/service.py
diff --git a/src/backend/langflow/services/storage/utils.py b/src/backend/base/langflow/services/storage/utils.py
similarity index 100%
rename from src/backend/langflow/services/storage/utils.py
rename to src/backend/base/langflow/services/storage/utils.py
diff --git a/src/backend/base/langflow/services/store/__init__.py b/src/backend/base/langflow/services/store/__init__.py
new file mode 100644
index 000000000..e69de29bb
diff --git a/src/backend/langflow/services/store/exceptions.py b/src/backend/base/langflow/services/store/exceptions.py
similarity index 100%
rename from src/backend/langflow/services/store/exceptions.py
rename to src/backend/base/langflow/services/store/exceptions.py
diff --git a/src/backend/langflow/services/store/factory.py b/src/backend/base/langflow/services/store/factory.py
similarity index 99%
rename from src/backend/langflow/services/store/factory.py
rename to src/backend/base/langflow/services/store/factory.py
index a25ad78c7..2bdc918bd 100644
--- a/src/backend/langflow/services/store/factory.py
+++ b/src/backend/base/langflow/services/store/factory.py
@@ -1,6 +1,7 @@
from typing import TYPE_CHECKING
-from langflow.services.store.service import StoreService
+
from langflow.services.factory import ServiceFactory
+from langflow.services.store.service import StoreService
if TYPE_CHECKING:
from langflow.services.settings.service import SettingsService
diff --git a/src/backend/langflow/services/store/schema.py b/src/backend/base/langflow/services/store/schema.py
similarity index 100%
rename from src/backend/langflow/services/store/schema.py
rename to src/backend/base/langflow/services/store/schema.py
diff --git a/src/backend/langflow/services/store/service.py b/src/backend/base/langflow/services/store/service.py
similarity index 100%
rename from src/backend/langflow/services/store/service.py
rename to src/backend/base/langflow/services/store/service.py
diff --git a/src/backend/langflow/services/store/utils.py b/src/backend/base/langflow/services/store/utils.py
similarity index 100%
rename from src/backend/langflow/services/store/utils.py
rename to src/backend/base/langflow/services/store/utils.py
diff --git a/src/backend/base/langflow/services/task/__init__.py b/src/backend/base/langflow/services/task/__init__.py
new file mode 100644
index 000000000..e69de29bb
diff --git a/src/backend/base/langflow/services/task/backends/__init__.py b/src/backend/base/langflow/services/task/backends/__init__.py
new file mode 100644
index 000000000..e69de29bb
diff --git a/src/backend/langflow/services/task/backends/anyio.py b/src/backend/base/langflow/services/task/backends/anyio.py
similarity index 100%
rename from src/backend/langflow/services/task/backends/anyio.py
rename to src/backend/base/langflow/services/task/backends/anyio.py
diff --git a/src/backend/langflow/services/task/backends/base.py b/src/backend/base/langflow/services/task/backends/base.py
similarity index 100%
rename from src/backend/langflow/services/task/backends/base.py
rename to src/backend/base/langflow/services/task/backends/base.py
diff --git a/src/backend/langflow/services/task/backends/celery.py b/src/backend/base/langflow/services/task/backends/celery.py
similarity index 99%
rename from src/backend/langflow/services/task/backends/celery.py
rename to src/backend/base/langflow/services/task/backends/celery.py
index f23374549..cfb17ae3b 100644
--- a/src/backend/langflow/services/task/backends/celery.py
+++ b/src/backend/base/langflow/services/task/backends/celery.py
@@ -1,5 +1,8 @@
from typing import Any, Callable
+
from celery.result import AsyncResult # type: ignore
+
+
from langflow.services.task.backends.base import TaskBackend
from langflow.worker import celery_app
diff --git a/src/backend/langflow/services/task/factory.py b/src/backend/base/langflow/services/task/factory.py
similarity index 100%
rename from src/backend/langflow/services/task/factory.py
rename to src/backend/base/langflow/services/task/factory.py
index e87eecc94..937f390ae 100644
--- a/src/backend/langflow/services/task/factory.py
+++ b/src/backend/base/langflow/services/task/factory.py
@@ -1,5 +1,5 @@
-from langflow.services.task.service import TaskService
from langflow.services.factory import ServiceFactory
+from langflow.services.task.service import TaskService
class TaskServiceFactory(ServiceFactory):
diff --git a/src/backend/langflow/services/task/service.py b/src/backend/base/langflow/services/task/service.py
similarity index 100%
rename from src/backend/langflow/services/task/service.py
rename to src/backend/base/langflow/services/task/service.py
diff --git a/src/backend/langflow/services/task/utils.py b/src/backend/base/langflow/services/task/utils.py
similarity index 100%
rename from src/backend/langflow/services/task/utils.py
rename to src/backend/base/langflow/services/task/utils.py
diff --git a/src/backend/langflow/services/utils.py b/src/backend/base/langflow/services/utils.py
similarity index 73%
rename from src/backend/langflow/services/utils.py
rename to src/backend/base/langflow/services/utils.py
index 8e2c8cfb7..ccbf81337 100644
--- a/src/backend/langflow/services/utils.py
+++ b/src/backend/base/langflow/services/utils.py
@@ -1,8 +1,12 @@
+import importlib
+import inspect
+
from loguru import logger
from sqlmodel import Session, select
from langflow.services.auth.utils import create_super_user, verify_password
from langflow.services.database.utils import initialize_database
+from langflow.services.factory import ServiceFactory
from langflow.services.manager import service_manager
from langflow.services.schema import ServiceType
from langflow.services.settings.constants import DEFAULT_SUPERUSER, DEFAULT_SUPERUSER_PASSWORD
@@ -11,54 +15,27 @@ from langflow.services.socket.utils import set_socketio_server
from .deps import get_db_service, get_session, get_settings_service
-def get_factories_and_deps():
- from langflow.services.auth import factory as auth_factory
- from langflow.services.cache import factory as cache_factory
- from langflow.services.chat import factory as chat_factory
- from langflow.services.credentials import factory as credentials_factory
- from langflow.services.database import factory as database_factory
- from langflow.services.monitor import factory as monitor_factory
- from langflow.services.plugins import factory as plugins_factory
- from langflow.services.session import factory as session_service_factory # type: ignore
- from langflow.services.settings import factory as settings_factory
- from langflow.services.socket import factory as socket_factory
- from langflow.services.storage import factory as storage_factory
- from langflow.services.store import factory as store_factory
- from langflow.services.task import factory as task_factory
+def get_factories():
+ service_names = [ServiceType(service_type).value.replace("_service", "") for service_type in ServiceType]
+ base_module = "langflow.services"
+ factories = []
- return [
- (settings_factory.SettingsServiceFactory(), []),
- (
- auth_factory.AuthServiceFactory(),
- [ServiceType.SETTINGS_SERVICE],
- ),
- (
- database_factory.DatabaseServiceFactory(),
- [ServiceType.SETTINGS_SERVICE],
- ),
- (
- cache_factory.CacheServiceFactory(),
- [ServiceType.SETTINGS_SERVICE],
- ),
- (chat_factory.ChatServiceFactory(), []),
- (task_factory.TaskServiceFactory(), []),
- (
- session_service_factory.SessionServiceFactory(),
- [ServiceType.CACHE_SERVICE],
- ),
- (plugins_factory.PluginServiceFactory(), [ServiceType.SETTINGS_SERVICE]),
- (store_factory.StoreServiceFactory(), [ServiceType.SETTINGS_SERVICE]),
- (
- credentials_factory.VariableServiceFactory(),
- [ServiceType.SETTINGS_SERVICE],
- ),
- (
- storage_factory.StorageServiceFactory(),
- [ServiceType.SESSION_SERVICE, ServiceType.SETTINGS_SERVICE],
- ),
- (monitor_factory.MonitorServiceFactory(), [ServiceType.SETTINGS_SERVICE]),
- (socket_factory.SocketIOFactory(), [ServiceType.CACHE_SERVICE]),
- ]
+ for name in service_names:
+ try:
+ module_name = f"{base_module}.{name}.factory"
+ module = importlib.import_module(module_name)
+
+ # Find all classes in the module that are subclasses of ServiceFactory
+ for name, obj in inspect.getmembers(module, inspect.isclass):
+ if issubclass(obj, ServiceFactory) and obj is not ServiceFactory:
+ factories.append(obj())
+ break
+
+ except Exception as exc:
+ logger.exception(exc)
+ raise RuntimeError(f"Could not initialize services. Please check your settings. Error in {name}.") from exc
+
+ return factories
def get_or_create_super_user(session: Session, username, password, is_default):
@@ -186,11 +163,17 @@ def initialize_session_service():
"""
Initialize the session manager.
"""
- from langflow.services.session import factory as session_service_factory
+ from langflow.services.cache import factory as cache_factory
+ from langflow.services.session import factory as session_service_factory # type: ignore
+
+ initialize_settings_service()
+
+ service_manager.register_factory(
+ cache_factory.CacheServiceFactory(),
+ )
service_manager.register_factory(
session_service_factory.SessionServiceFactory(),
- dependencies=[ServiceType.CACHE_SERVICE],
)
@@ -198,9 +181,9 @@ def initialize_services(fix_migration: bool = False, socketio_server=None):
"""
Initialize all the services needed.
"""
- for factory, dependencies in get_factories_and_deps():
+ for factory in get_factories():
try:
- service_manager.register_factory(factory, dependencies=dependencies)
+ service_manager.register_factory(factory)
except Exception as exc:
logger.exception(exc)
raise RuntimeError("Could not initialize services. Please check your settings.") from exc
diff --git a/src/backend/langflow/settings.py b/src/backend/base/langflow/settings.py
similarity index 100%
rename from src/backend/langflow/settings.py
rename to src/backend/base/langflow/settings.py
diff --git a/src/backend/base/langflow/template/__init__.py b/src/backend/base/langflow/template/__init__.py
new file mode 100644
index 000000000..e69de29bb
diff --git a/src/backend/base/langflow/template/field/__init__.py b/src/backend/base/langflow/template/field/__init__.py
new file mode 100644
index 000000000..e69de29bb
diff --git a/src/backend/langflow/template/field/base.py b/src/backend/base/langflow/template/field/base.py
similarity index 97%
rename from src/backend/langflow/template/field/base.py
rename to src/backend/base/langflow/template/field/base.py
index 5e5c0a800..85c9affdd 100644
--- a/src/backend/langflow/template/field/base.py
+++ b/src/backend/base/langflow/template/field/base.py
@@ -1,14 +1,8 @@
from typing import Any, Callable, Optional, Union
+from pydantic import BaseModel, ConfigDict, Field, field_serializer, field_validator, model_serializer
+
from langflow.field_typing.range_spec import RangeSpec
-from pydantic import (
- BaseModel,
- ConfigDict,
- Field,
- field_serializer,
- field_validator,
- model_serializer,
-)
class TemplateField(BaseModel):
diff --git a/src/backend/langflow/template/field/prompt.py b/src/backend/base/langflow/template/field/prompt.py
similarity index 100%
rename from src/backend/langflow/template/field/prompt.py
rename to src/backend/base/langflow/template/field/prompt.py
diff --git a/src/backend/langflow/template/frontend_node/__init__.py b/src/backend/base/langflow/template/frontend_node/__init__.py
similarity index 100%
rename from src/backend/langflow/template/frontend_node/__init__.py
rename to src/backend/base/langflow/template/frontend_node/__init__.py
index e13aa1ded..00c276696 100644
--- a/src/backend/langflow/template/frontend_node/__init__.py
+++ b/src/backend/base/langflow/template/frontend_node/__init__.py
@@ -1,15 +1,15 @@
from langflow.template.frontend_node import (
agents,
chains,
+ custom_components,
+ documentloaders,
embeddings,
llms,
memories,
prompts,
+ textsplitters,
tools,
vectorstores,
- documentloaders,
- textsplitters,
- custom_components,
)
__all__ = [
diff --git a/src/backend/langflow/template/frontend_node/agents.py b/src/backend/base/langflow/template/frontend_node/agents.py
similarity index 99%
rename from src/backend/langflow/template/frontend_node/agents.py
rename to src/backend/base/langflow/template/frontend_node/agents.py
index 361abf531..0993c1736 100644
--- a/src/backend/langflow/template/frontend_node/agents.py
+++ b/src/backend/base/langflow/template/frontend_node/agents.py
@@ -1,6 +1,8 @@
from typing import Optional
from langchain.agents import types
+
+
from langflow.template.field.base import TemplateField
from langflow.template.frontend_node.base import FrontendNode
from langflow.template.template.base import Template
diff --git a/src/backend/langflow/template/frontend_node/base.py b/src/backend/base/langflow/template/frontend_node/base.py
similarity index 100%
rename from src/backend/langflow/template/frontend_node/base.py
rename to src/backend/base/langflow/template/frontend_node/base.py
diff --git a/src/backend/langflow/template/frontend_node/chains.py b/src/backend/base/langflow/template/frontend_node/chains.py
similarity index 100%
rename from src/backend/langflow/template/frontend_node/chains.py
rename to src/backend/base/langflow/template/frontend_node/chains.py
diff --git a/src/backend/langflow/template/frontend_node/constants.py b/src/backend/base/langflow/template/frontend_node/constants.py
similarity index 100%
rename from src/backend/langflow/template/frontend_node/constants.py
rename to src/backend/base/langflow/template/frontend_node/constants.py
diff --git a/src/backend/langflow/template/frontend_node/custom_components.py b/src/backend/base/langflow/template/frontend_node/custom_components.py
similarity index 93%
rename from src/backend/langflow/template/frontend_node/custom_components.py
rename to src/backend/base/langflow/template/frontend_node/custom_components.py
index 40acae5ea..456aa7466 100644
--- a/src/backend/langflow/template/frontend_node/custom_components.py
+++ b/src/backend/base/langflow/template/frontend_node/custom_components.py
@@ -4,7 +4,8 @@ from langflow.template.field.base import TemplateField
from langflow.template.frontend_node.base import FrontendNode
from langflow.template.template.base import Template
-DEFAULT_CUSTOM_COMPONENT_CODE = """from langflow import CustomComponent
+DEFAULT_CUSTOM_COMPONENT_CODE = """from langflow.interface.custom.custom_component import CustomComponent
+
from typing import Optional, List, Dict, Union
from langflow.field_typing import (
AgentExecutor,
diff --git a/src/backend/langflow/template/frontend_node/documentloaders.py b/src/backend/base/langflow/template/frontend_node/documentloaders.py
similarity index 100%
rename from src/backend/langflow/template/frontend_node/documentloaders.py
rename to src/backend/base/langflow/template/frontend_node/documentloaders.py
diff --git a/src/backend/langflow/template/frontend_node/embeddings.py b/src/backend/base/langflow/template/frontend_node/embeddings.py
similarity index 100%
rename from src/backend/langflow/template/frontend_node/embeddings.py
rename to src/backend/base/langflow/template/frontend_node/embeddings.py
diff --git a/src/backend/base/langflow/template/frontend_node/formatter/__init__.py b/src/backend/base/langflow/template/frontend_node/formatter/__init__.py
new file mode 100644
index 000000000..e69de29bb
diff --git a/src/backend/langflow/template/frontend_node/formatter/base.py b/src/backend/base/langflow/template/frontend_node/formatter/base.py
similarity index 99%
rename from src/backend/langflow/template/frontend_node/formatter/base.py
rename to src/backend/base/langflow/template/frontend_node/formatter/base.py
index f582bc298..20ba64eae 100644
--- a/src/backend/langflow/template/frontend_node/formatter/base.py
+++ b/src/backend/base/langflow/template/frontend_node/formatter/base.py
@@ -1,9 +1,10 @@
from abc import ABC, abstractmethod
from typing import Optional
-from langflow.template.field.base import TemplateField
from pydantic import BaseModel
+from langflow.template.field.base import TemplateField
+
class FieldFormatter(BaseModel, ABC):
@abstractmethod
diff --git a/src/backend/langflow/template/frontend_node/formatter/field_formatters.py b/src/backend/base/langflow/template/frontend_node/formatter/field_formatters.py
similarity index 100%
rename from src/backend/langflow/template/frontend_node/formatter/field_formatters.py
rename to src/backend/base/langflow/template/frontend_node/formatter/field_formatters.py
diff --git a/src/backend/langflow/template/frontend_node/llms.py b/src/backend/base/langflow/template/frontend_node/llms.py
similarity index 100%
rename from src/backend/langflow/template/frontend_node/llms.py
rename to src/backend/base/langflow/template/frontend_node/llms.py
diff --git a/src/backend/langflow/template/frontend_node/memories.py b/src/backend/base/langflow/template/frontend_node/memories.py
similarity index 97%
rename from src/backend/langflow/template/frontend_node/memories.py
rename to src/backend/base/langflow/template/frontend_node/memories.py
index 93ea561dd..1cdc8febb 100644
--- a/src/backend/langflow/template/frontend_node/memories.py
+++ b/src/backend/base/langflow/template/frontend_node/memories.py
@@ -1,12 +1,7 @@
from typing import Optional
-from langchain_community.chat_message_histories.mongodb import (
- DEFAULT_COLLECTION_NAME,
- DEFAULT_DBNAME,
-)
-from langchain_community.chat_message_histories.postgres import (
- DEFAULT_CONNECTION_STRING,
-)
+from langchain_community.chat_message_histories.mongodb import DEFAULT_COLLECTION_NAME, DEFAULT_DBNAME
+from langchain_community.chat_message_histories.postgres import DEFAULT_CONNECTION_STRING
from langflow.template.field.base import TemplateField
from langflow.template.frontend_node.base import FrontendNode
diff --git a/src/backend/langflow/template/frontend_node/output_parsers.py b/src/backend/base/langflow/template/frontend_node/output_parsers.py
similarity index 99%
rename from src/backend/langflow/template/frontend_node/output_parsers.py
rename to src/backend/base/langflow/template/frontend_node/output_parsers.py
index e9b4d3706..6b33ee680 100644
--- a/src/backend/langflow/template/frontend_node/output_parsers.py
+++ b/src/backend/base/langflow/template/frontend_node/output_parsers.py
@@ -1,4 +1,6 @@
from typing import Optional
+
+
from langflow.template.field.base import TemplateField
from langflow.template.frontend_node.base import FrontendNode
diff --git a/src/backend/langflow/template/frontend_node/prompts.py b/src/backend/base/langflow/template/frontend_node/prompts.py
similarity index 100%
rename from src/backend/langflow/template/frontend_node/prompts.py
rename to src/backend/base/langflow/template/frontend_node/prompts.py
diff --git a/src/backend/langflow/template/frontend_node/retrievers.py b/src/backend/base/langflow/template/frontend_node/retrievers.py
similarity index 100%
rename from src/backend/langflow/template/frontend_node/retrievers.py
rename to src/backend/base/langflow/template/frontend_node/retrievers.py
diff --git a/src/backend/langflow/template/frontend_node/textsplitters.py b/src/backend/base/langflow/template/frontend_node/textsplitters.py
similarity index 99%
rename from src/backend/langflow/template/frontend_node/textsplitters.py
rename to src/backend/base/langflow/template/frontend_node/textsplitters.py
index e6d5bdc60..eb302e996 100644
--- a/src/backend/langflow/template/frontend_node/textsplitters.py
+++ b/src/backend/base/langflow/template/frontend_node/textsplitters.py
@@ -1,6 +1,7 @@
+from langchain.text_splitter import Language
+
from langflow.template.field.base import TemplateField
from langflow.template.frontend_node.base import FrontendNode
-from langchain.text_splitter import Language
class TextSplittersFrontendNode(FrontendNode):
diff --git a/src/backend/langflow/template/frontend_node/tools.py b/src/backend/base/langflow/template/frontend_node/tools.py
similarity index 100%
rename from src/backend/langflow/template/frontend_node/tools.py
rename to src/backend/base/langflow/template/frontend_node/tools.py
diff --git a/src/backend/langflow/template/frontend_node/utilities.py b/src/backend/base/langflow/template/frontend_node/utilities.py
similarity index 100%
rename from src/backend/langflow/template/frontend_node/utilities.py
rename to src/backend/base/langflow/template/frontend_node/utilities.py
index a5adb219d..51849189c 100644
--- a/src/backend/langflow/template/frontend_node/utilities.py
+++ b/src/backend/base/langflow/template/frontend_node/utilities.py
@@ -1,7 +1,7 @@
import ast
from typing import Optional
-from langflow.services.database.models.base import orjson_dumps
+from langflow.services.database.models.base import orjson_dumps
from langflow.template.field.base import TemplateField
from langflow.template.frontend_node.base import FrontendNode
diff --git a/src/backend/langflow/template/frontend_node/vectorstores.py b/src/backend/base/langflow/template/frontend_node/vectorstores.py
similarity index 100%
rename from src/backend/langflow/template/frontend_node/vectorstores.py
rename to src/backend/base/langflow/template/frontend_node/vectorstores.py
diff --git a/src/backend/base/langflow/template/template/__init__.py b/src/backend/base/langflow/template/template/__init__.py
new file mode 100644
index 000000000..e69de29bb
diff --git a/src/backend/langflow/template/template/base.py b/src/backend/base/langflow/template/template/base.py
similarity index 100%
rename from src/backend/langflow/template/template/base.py
rename to src/backend/base/langflow/template/template/base.py
diff --git a/src/backend/base/langflow/utils/__init__.py b/src/backend/base/langflow/utils/__init__.py
new file mode 100644
index 000000000..e69de29bb
diff --git a/src/backend/langflow/utils/constants.py b/src/backend/base/langflow/utils/constants.py
similarity index 100%
rename from src/backend/langflow/utils/constants.py
rename to src/backend/base/langflow/utils/constants.py
diff --git a/src/backend/langflow/utils/lazy_load.py b/src/backend/base/langflow/utils/lazy_load.py
similarity index 100%
rename from src/backend/langflow/utils/lazy_load.py
rename to src/backend/base/langflow/utils/lazy_load.py
diff --git a/src/backend/langflow/utils/logger.py b/src/backend/base/langflow/utils/logger.py
similarity index 100%
rename from src/backend/langflow/utils/logger.py
rename to src/backend/base/langflow/utils/logger.py
diff --git a/src/backend/langflow/utils/payload.py b/src/backend/base/langflow/utils/payload.py
similarity index 100%
rename from src/backend/langflow/utils/payload.py
rename to src/backend/base/langflow/utils/payload.py
diff --git a/src/backend/langflow/utils/schemas.py b/src/backend/base/langflow/utils/schemas.py
similarity index 100%
rename from src/backend/langflow/utils/schemas.py
rename to src/backend/base/langflow/utils/schemas.py
diff --git a/src/backend/langflow/utils/util.py b/src/backend/base/langflow/utils/util.py
similarity index 100%
rename from src/backend/langflow/utils/util.py
rename to src/backend/base/langflow/utils/util.py
diff --git a/src/backend/langflow/utils/validate.py b/src/backend/base/langflow/utils/validate.py
similarity index 100%
rename from src/backend/langflow/utils/validate.py
rename to src/backend/base/langflow/utils/validate.py
diff --git a/src/backend/langflow/__init__.py b/src/backend/base/langflow/version.py
similarity index 50%
rename from src/backend/langflow/__init__.py
rename to src/backend/base/langflow/version.py
index 2b6dd4fb8..c8bb365ca 100644
--- a/src/backend/langflow/__init__.py
+++ b/src/backend/base/langflow/version.py
@@ -1,16 +1,8 @@
from importlib import metadata
-from langflow.interface.custom.custom_component import CustomComponent
-
-# Deactivate cache manager for now
-# from langflow.services.cache import cache_service
-from langflow.processing.load import load_flow_from_json
-
try:
__version__ = metadata.version(__package__)
except metadata.PackageNotFoundError:
# Case where package metadata is not available.
__version__ = ""
del metadata # optional, avoids polluting the results of dir(__package__)
-
-__all__ = ["load_flow_from_json", "CustomComponent"]
diff --git a/src/backend/langflow/worker.py b/src/backend/base/langflow/worker.py
similarity index 100%
rename from src/backend/langflow/worker.py
rename to src/backend/base/langflow/worker.py
diff --git a/src/backend/base/poetry.lock b/src/backend/base/poetry.lock
new file mode 100644
index 000000000..f99074049
--- /dev/null
+++ b/src/backend/base/poetry.lock
@@ -0,0 +1,6044 @@
+# This file is automatically @generated by Poetry 1.8.2 and should not be changed by hand.
+
+[[package]]
+name = "aiohttp"
+version = "3.9.3"
+description = "Async http client/server framework (asyncio)"
+optional = false
+python-versions = ">=3.8"
+files = [
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+ {file = "zope.interface-6.2.tar.gz", hash = "sha256:3b6c62813c63c543a06394a636978b22dffa8c5410affc9331ce6cdb5bfa8565"},
+]
+
+[package.dependencies]
+setuptools = "*"
+
+[package.extras]
+docs = ["Sphinx", "repoze.sphinx.autointerface", "sphinx_rtd_theme"]
+test = ["coverage (>=5.0.3)", "zope.event", "zope.testing"]
+testing = ["coverage (>=5.0.3)", "zope.event", "zope.testing"]
+
+[extras]
+all = []
+deploy = []
+local = []
+
+[metadata]
+lock-version = "2.0"
+python-versions = ">=3.10,<3.12"
+content-hash = "171d9e4a943b34877aa2e6084aca150cf7835da7d7cc87b8f2d7d1c07801412e"
diff --git a/src/backend/base/pyproject.toml b/src/backend/base/pyproject.toml
new file mode 100644
index 000000000..b783807a6
--- /dev/null
+++ b/src/backend/base/pyproject.toml
@@ -0,0 +1,116 @@
+[tool.poetry]
+name = "langflow-base"
+version = "0.0.11"
+description = "A Python package with a built-in web application"
+authors = ["Logspace "]
+maintainers = [
+ "Carlos Coelho ",
+ "Cristhian Zanforlin ",
+ "Gabriel Almeida ",
+ "Gustavo Schaedler ",
+ "Igor Carvalho ",
+ "Lucas Eduoli ",
+ "Otávio Anovazzi ",
+ "Rodrigo Nader ",
+]
+repository = "https://github.com/logspace-ai/langflow"
+license = "MIT"
+readme = "README.md"
+keywords = ["nlp", "langchain", "openai", "gpt", "gui"]
+packages = [{ include = "langflow" }]
+include = ["pyproject.toml", "README.md", "langflow/**/*"]
+documentation = "https://docs.langflow.org"
+
+[tool.poetry.scripts]
+langflow-base = "langflow.__main__:main"
+
+[tool.poetry.dependencies]
+python = ">=3.10,<3.12"
+fastapi = "^0.109.0"
+httpx = "^0.25"
+uvicorn = "^0.27.0"
+gunicorn = "^21.2.0"
+langchain = "~0.1.0"
+sqlmodel = "^0.0.14"
+loguru = "^0.7.1"
+rich = "^13.7.0"
+langchain-experimental = "*"
+pydantic = "^2.5.0"
+pydantic-settings = "^2.1.0"
+websockets = "^10.3"
+typer = "^0.9.0"
+cachetools = "^5.3.1"
+platformdirs = "^4.2.0"
+python-multipart = "^0.0.7"
+orjson = "3.9.15"
+alembic = "^1.13.0"
+passlib = "^1.7.4"
+bcrypt = "4.0.1"
+pillow = "^10.2.0"
+docstring-parser = "^0.15"
+python-jose = "^3.3.0"
+pandas = "2.2.0"
+multiprocess = "^0.70.14"
+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"
+duckdb = "^0.9.2"
+python-socketio = "^5.11.0"
+python-docx = "^1.1.0"
+jq = { version = "^1.7.0", markers = "sys_platform != 'win32'" }
+pypdf = "^4.1.0"
+chromadb = "^0.4.24"
+langchain-anthropic = "^0.1.4"
+langchain-astradb = "^0.1.0"
+
+
+[tool.poetry.group.dev.dependencies]
+pytest-asyncio = "^0.21.1"
+types-redis = "^4.6.0.5"
+ipykernel = "^6.26.0"
+mypy = "^1.7.1"
+ruff = "^0.1.5"
+httpx = "*"
+pytest = "^7.4.2"
+types-requests = "^2.31.0"
+requests = "^2.31.0"
+pytest-cov = "^4.1.0"
+pandas-stubs = "^2.0.0.230412"
+types-pillow = "^9.5.0.2"
+types-pyyaml = "^6.0.12.8"
+types-python-jose = "^3.3.4.8"
+types-passlib = "^1.7.7.13"
+locust = "^2.16.1"
+pytest-mock = "^3.11.1"
+pytest-xdist = "^3.3.1"
+types-pywin32 = "^306.0.0.4"
+types-google-cloud-ndb = "^2.2.0.0"
+pytest-sugar = "^0.9.7"
+
+
+[tool.poetry.extras]
+deploy = ["langchain-serve", "celery", "redis", "flower"]
+local = ["llama-cpp-python", "sentence-transformers", "ctransformers"]
+all = ["deploy", "local"]
+
+
+[tool.pytest.ini_options]
+minversion = "6.0"
+addopts = "-ra"
+testpaths = ["tests", "integration"]
+console_output_style = "progress"
+filterwarnings = ["ignore::DeprecationWarning"]
+log_cli = true
+markers = ["async_test"]
+
+
+[tool.ruff]
+exclude = ["src/backend/langflow/alembic/*"]
+line-length = 120
+
+[build-system]
+requires = ["poetry-core"]
+build-backend = "poetry.core.masonry.api"
diff --git a/src/backend/langflow/alembic/versions/1a110b568907_replace_credential_table_with_variable.py b/src/backend/langflow/alembic/versions/1a110b568907_replace_credential_table_with_variable.py
deleted file mode 100644
index 0e53e3b09..000000000
--- a/src/backend/langflow/alembic/versions/1a110b568907_replace_credential_table_with_variable.py
+++ /dev/null
@@ -1,63 +0,0 @@
-"""Replace Credential table with Variable
-
-Revision ID: 1a110b568907
-Revises: 63b9c451fd30
-Create Date: 2024-03-25 09:40:02.743453
-
-"""
-from typing import Sequence, Union
-
-import sqlalchemy as sa
-import sqlmodel
-from alembic import op
-from sqlalchemy.engine.reflection import Inspector
-
-# revision identifiers, used by Alembic.
-revision: str = '1a110b568907'
-down_revision: Union[str, None] = '63b9c451fd30'
-branch_labels: Union[str, Sequence[str], None] = None
-depends_on: Union[str, Sequence[str], None] = None
-
-
-def upgrade() -> None:
- conn = op.get_bind()
- inspector = Inspector.from_engine(conn) # type: ignore
- table_names = inspector.get_table_names()
- # ### commands auto generated by Alembic - please adjust! ###
- if "variable" not in table_names:
- op.create_table('variable',
- sa.Column('name', sqlmodel.sql.sqltypes.AutoString(), nullable=True),
- sa.Column('value', sqlmodel.sql.sqltypes.AutoString(), nullable=True),
- sa.Column('type', sqlmodel.sql.sqltypes.AutoString(), nullable=True),
- sa.Column('id', sqlmodel.sql.sqltypes.GUID(), nullable=False),
- sa.Column('created_at', sa.DateTime(), nullable=False),
- sa.Column('updated_at', sa.DateTime(), nullable=True),
- sa.Column('user_id', sqlmodel.sql.sqltypes.GUID(), nullable=False),
- sa.ForeignKeyConstraint(['user_id'], ['user.id'], name='fk_variable_user_id'),
- sa.PrimaryKeyConstraint('id')
- )
- if "credential" in table_names:
- op.drop_table('credential')
- # ### end Alembic commands ###
-
-
-def downgrade() -> None:
- conn = op.get_bind()
- inspector = Inspector.from_engine(conn) # type: ignore
- table_names = inspector.get_table_names()
- # ### commands auto generated by Alembic - please adjust! ###
- if "credential" not in table_names:
- op.create_table('credential',
- sa.Column('name', sa.VARCHAR(), nullable=True),
- sa.Column('value', sa.VARCHAR(), nullable=True),
- sa.Column('provider', sa.VARCHAR(), nullable=True),
- sa.Column('user_id', sa.CHAR(length=32), nullable=False),
- sa.Column('id', sa.CHAR(length=32), nullable=False),
- sa.Column('created_at', sa.DATETIME(), nullable=False),
- sa.Column('updated_at', sa.DATETIME(), nullable=True),
- sa.ForeignKeyConstraint(['user_id'], ['user.id'], name='fk_credential_user_id'),
- sa.PrimaryKeyConstraint('id')
- )
- if "variable" in table_names:
- op.drop_table('variable')
- # ### end Alembic commands ###
diff --git a/src/backend/langflow/base/agents/__init__.py b/src/backend/langflow/base/agents/__init__.py
new file mode 100644
index 000000000..e69de29bb
diff --git a/src/backend/langflow/base/agents/agent.py b/src/backend/langflow/base/agents/agent.py
new file mode 100644
index 000000000..8dac73e61
--- /dev/null
+++ b/src/backend/langflow/base/agents/agent.py
@@ -0,0 +1,70 @@
+from typing import List, Union
+
+from langchain.agents import AgentExecutor, BaseMultiActionAgent, BaseSingleActionAgent
+
+from langflow import CustomComponent
+from langflow.field_typing import BaseMemory, Text, Tool
+
+
+class LCAgentComponent(CustomComponent):
+ def build_config(self):
+ return {
+ "lc": {
+ "display_name": "LangChain",
+ "info": "The LangChain to interact with.",
+ },
+ "handle_parsing_errors": {
+ "display_name": "Handle Parsing Errors",
+ "info": "If True, the agent will handle parsing errors. If False, the agent will raise an error.",
+ "advanced": True,
+ },
+ "output_key": {
+ "display_name": "Output Key",
+ "info": "The key to use to get the output from the agent.",
+ "advanced": True,
+ },
+ "memory": {
+ "display_name": "Memory",
+ "info": "Memory to use for the agent.",
+ },
+ "tools": {
+ "display_name": "Tools",
+ "info": "Tools the agent can use.",
+ },
+ "input_value": {
+ "display_name": "Input",
+ "info": "Input text to pass to the agent.",
+ },
+ }
+
+ async def run_agent(
+ self,
+ agent: Union[BaseSingleActionAgent, BaseMultiActionAgent, AgentExecutor],
+ inputs: str,
+ input_variables: list[str],
+ tools: List[Tool],
+ memory: BaseMemory = None,
+ handle_parsing_errors: bool = True,
+ output_key: str = "output",
+ ) -> Text:
+ if isinstance(agent, AgentExecutor):
+ runnable = agent
+ else:
+ runnable = AgentExecutor.from_agent_and_tools(
+ agent=agent, tools=tools, verbose=True, memory=memory, handle_parsing_errors=handle_parsing_errors
+ )
+ input_dict = {"input": inputs}
+ for var in input_variables:
+ if var not in ["agent_scratchpad", "input"]:
+ input_dict[var] = ""
+ result = await runnable.ainvoke(input_dict)
+ self.status = result
+ if output_key in result:
+ return result.get(output_key)
+ elif "output" not in result:
+ if output_key != "output":
+ raise ValueError(f"Output key not found in result. Tried '{output_key}' and 'output'.")
+ else:
+ raise ValueError("Output key not found in result. Tried 'output'.")
+
+ return result.get("output")
diff --git a/src/backend/langflow/base/models/__init__.py b/src/backend/langflow/base/models/__init__.py
new file mode 100644
index 000000000..921f10336
--- /dev/null
+++ b/src/backend/langflow/base/models/__init__.py
@@ -0,0 +1,3 @@
+from .model import LCModelComponent
+
+__all__ = ["LCModelComponent"]
diff --git a/src/backend/langflow/base/models/model.py b/src/backend/langflow/base/models/model.py
new file mode 100644
index 000000000..e2ab4b6cf
--- /dev/null
+++ b/src/backend/langflow/base/models/model.py
@@ -0,0 +1,48 @@
+from typing import Optional
+
+from langchain_core.language_models.chat_models import BaseChatModel
+from langchain_core.language_models.llms import LLM
+from langchain_core.messages import HumanMessage, SystemMessage
+
+from langflow import CustomComponent
+
+
+class LCModelComponent(CustomComponent):
+ display_name: str = "Model Name"
+ description: str = "Model Description"
+
+ def get_result(self, runnable: LLM, stream: bool, input_value: str):
+ """
+ Retrieves the result from the output of a Runnable object.
+
+ Args:
+ output (Runnable): The output object to retrieve the result from.
+ stream (bool): Indicates whether to use streaming or invocation mode.
+ input_value (str): The input value to pass to the output object.
+
+ Returns:
+ The result obtained from the output object.
+ """
+ if stream:
+ result = runnable.stream(input_value)
+ else:
+ message = runnable.invoke(input_value)
+ result = message.content if hasattr(message, "content") else message
+ self.status = result
+ return result
+
+ def get_chat_result(
+ self, runnable: BaseChatModel, stream: bool, input_value: str, system_message: Optional[str] = None
+ ):
+ messages = []
+ if input_value:
+ messages.append(HumanMessage(input_value))
+ if system_message:
+ messages.append(SystemMessage(system_message))
+ if stream:
+ result = runnable.stream(messages)
+ else:
+ message = runnable.invoke(messages)
+ result = message.content
+ self.status = result
+ return result
diff --git a/src/backend/langflow/components/agents/CSVAgent.py b/src/backend/langflow/components/agents/CSVAgent.py
deleted file mode 100644
index b54e5d90d..000000000
--- a/src/backend/langflow/components/agents/CSVAgent.py
+++ /dev/null
@@ -1,23 +0,0 @@
-from langflow import CustomComponent
-from langflow.field_typing import BaseLanguageModel, AgentExecutor
-from langchain_experimental.agents.agent_toolkits.csv.base import create_csv_agent
-
-
-class CSVAgentComponent(CustomComponent):
- display_name = "CSVAgent"
- description = "Construct a CSV agent from a CSV and tools."
- documentation = "https://python.langchain.com/docs/modules/agents/toolkits/csv"
-
- def build_config(self):
- return {
- "llm": {"display_name": "LLM", "type": BaseLanguageModel},
- "path": {"display_name": "Path", "field_type": "file", "suffixes": [".csv"], "file_types": [".csv"]},
- }
-
- def build(
- self,
- llm: BaseLanguageModel,
- path: str,
- ) -> AgentExecutor:
- # Instantiate and return the CSV agent class with the provided llm and path
- return create_csv_agent(llm=llm, path=path)
diff --git a/src/backend/langflow/components/agents/ReActAgent.py b/src/backend/langflow/components/agents/ReActAgent.py
deleted file mode 100644
index a9a813ada..000000000
--- a/src/backend/langflow/components/agents/ReActAgent.py
+++ /dev/null
@@ -1,70 +0,0 @@
-# from typing import Dict, List
-
-# import dspy
-
-# from langflow import CustomComponent
-# from langflow.field_typing import Text
-
-
-# class ReActAgentComponent(CustomComponent):
-# display_name = "ReAct Agent"
-# description = "A component to create a ReAct Agent."
-# icon = "user-secret"
-
-# def build_config(self):
-# return {
-# "input_value": {
-# "display_name": "Input",
-# "input_types": ["Text"],
-# "info": "The input value for the ReAct Agent.",
-# },
-# "instructions": {
-# "display_name": "Instructions",
-# "info": "The Prompt.",
-# },
-# "inputs": {
-# "display_name": "Inputs",
-# "info": "The Name and Description of the Input Fields.",
-# },
-# "outputs": {
-# "display_name": "Outputs",
-# "info": "The Name and Description of the Output Fields.",
-# },
-# }
-
-# def build(
-# self,
-# input_value: List[dict],
-# instructions: Text,
-# inputs: List[dict],
-# outputs: List[Dict],
-# ) -> Text:
-# # inputs is a list of dictionaries where the key is the name of the input
-# # and the value is the description of the input
-# input_fields = (
-# {}
-# ) # dict[str, FieldInfo] InputField and OutputField are subclasses of pydantic.Field
-# for input_dict in inputs:
-# for name, description in input_dict.items():
-# prefix = name if ":" in name else f"{name}:"
-# input_fields[name] = dspy.InputField(
-# prefix=prefix, description=description
-# )
-
-# output_fields = {} # dict[str, FieldInfo]
-# for output_dict in outputs:
-# for name, description in output_dict.items():
-# prefix = name if ":" in name else f"{name}:"
-# output_fields[name] = dspy.OutputField(
-# prefix=prefix, description=description
-# )
-
-# signature = dspy.make_signature(inputs, instructions=instructions)
-# agent = dspy.ReAct(
-# signature=signature,
-# )
-# inputs_dict = {}
-# for input_dict in input_value:
-# inputs_dict.update(input_dict)
-
-# result = agent(inputs_dict)
diff --git a/src/backend/langflow/components/experimental/FlowTool.py b/src/backend/langflow/components/experimental/FlowTool.py
new file mode 100644
index 000000000..5f504ff02
--- /dev/null
+++ b/src/backend/langflow/components/experimental/FlowTool.py
@@ -0,0 +1,85 @@
+from typing import Any, List, Optional, Text
+
+from langchain_core.tools import StructuredTool
+from loguru import logger
+
+from langflow import CustomComponent
+from langflow.field_typing import Tool
+from langflow.graph.graph.base import Graph
+from langflow.helpers.flow import build_function_and_schema
+from langflow.schema.dotdict import dotdict
+
+
+class FlowToolComponent(CustomComponent):
+ display_name = "Flow as Tool"
+ description = "Construct a Tool from a function that runs the loaded Flow."
+ field_order = ["flow_name", "name", "description", "return_direct"]
+
+ def get_flow_names(self) -> List[str]:
+ flow_records = self.list_flows()
+ return [flow_record.data["name"] for flow_record in flow_records]
+
+ def get_flow(self, flow_name: str) -> Optional[Text]:
+ """
+ Retrieves a flow by its name.
+
+ Args:
+ flow_name (str): The name of the flow to retrieve.
+
+ Returns:
+ Optional[Text]: The flow record if found, None otherwise.
+ """
+ flow_records = self.list_flows()
+ for flow_record in flow_records:
+ if flow_record.data["name"] == flow_name:
+ return flow_record
+ return None
+
+ def update_build_config(self, build_config: dotdict, field_value: Any, field_name: str | None = None):
+ logger.debug(f"Updating build config with field value {field_value} and field name {field_name}")
+ if field_name == "flow_name":
+ build_config["flow_name"]["options"] = self.get_flow_names()
+
+ return build_config
+
+ def build_config(self):
+ return {
+ "flow_name": {
+ "display_name": "Flow Name",
+ "info": "The name of the flow to run.",
+ "options": [],
+ "real_time_refresh": True,
+ "refresh_button": True,
+ },
+ "name": {
+ "display_name": "Name",
+ "description": "The name of the tool.",
+ },
+ "description": {
+ "display_name": "Description",
+ "description": "The description of the tool.",
+ },
+ "return_direct": {
+ "display_name": "Return Direct",
+ "description": "Return the result directly from the Tool.",
+ "advanced": True,
+ },
+ }
+
+ async def build(self, flow_name: str, name: str, description: str, return_direct: bool = False) -> Tool:
+ flow_record = self.get_flow(flow_name)
+ if not flow_record:
+ raise ValueError("Flow not found.")
+ graph = Graph.from_payload(flow_record.data["data"])
+ dynamic_flow_function, schema = build_function_and_schema(flow_record, graph)
+ tool = StructuredTool.from_function(
+ coroutine=dynamic_flow_function,
+ name=name,
+ description=description,
+ return_direct=return_direct,
+ args_schema=schema,
+ )
+ description_repr = repr(tool.description).strip("'")
+ args_str = "\n".join([f"- {arg_name}: {arg_data['description']}" for arg_name, arg_data in tool.args.items()])
+ self.status = f"{description_repr}\nArguments:\n{args_str}"
+ return tool
diff --git a/src/backend/langflow/components/experimental/Schema.py b/src/backend/langflow/components/experimental/Schema.py
new file mode 100644
index 000000000..72cbec23e
--- /dev/null
+++ b/src/backend/langflow/components/experimental/Schema.py
@@ -0,0 +1,25 @@
+from langflow.custom import CustomComponent
+
+
+class SchemaComponent(CustomComponent):
+ display_name = "Schema"
+ description = "Construct a Schema from a list of fields."
+
+ def build_config(self):
+ return {
+ "fields": {
+ "display_name": "Fields",
+ "info": "The fields to include in the schema.",
+ },
+ "name": {
+ "display_name": "Name",
+ "info": "The name of the schema.",
+ },
+ }
+
+ def build(self, name: str, fields: list[dict]):
+ # The idea for this component is to use create_model from pydantic to create a schema
+ # from a list of fields. This will be useful for creating schemas for the flow tool.
+ pass
+
+ # field is a simple list of dictionaries with the field name and
diff --git a/src/backend/langflow/components/models/base/model.py b/src/backend/langflow/components/models/base/model.py
deleted file mode 100644
index 9f9ca7b36..000000000
--- a/src/backend/langflow/components/models/base/model.py
+++ /dev/null
@@ -1,28 +0,0 @@
-from langchain_core.runnables import Runnable
-
-from langflow import CustomComponent
-
-
-class LCModelComponent(CustomComponent):
- display_name: str = "Model Name"
- description: str = "Model Description"
-
- def get_result(self, output: Runnable, stream: bool, input_value: str):
- """
- Retrieves the result from the output of a Runnable object.
-
- Args:
- output (Runnable): The output object to retrieve the result from.
- stream (bool): Indicates whether to use streaming or invocation mode.
- input_value (str): The input value to pass to the output object.
-
- Returns:
- The result obtained from the output object.
- """
- if stream:
- result = output.stream(input_value)
- else:
- message = output.invoke(input_value)
- result = message.content if hasattr(message, "content") else message
- self.status = result
- return result
diff --git a/src/backend/langflow/components/tools/SearchAPITool.py b/src/backend/langflow/components/tools/SearchAPITool.py
new file mode 100644
index 000000000..76c82ad9c
--- /dev/null
+++ b/src/backend/langflow/components/tools/SearchAPITool.py
@@ -0,0 +1,37 @@
+from langchain_community.tools.searchapi import SearchAPIRun
+from langchain_community.utilities.searchapi import SearchApiAPIWrapper
+
+from langflow import CustomComponent
+from langflow.field_typing import Tool
+
+
+class SearchApiToolComponent(CustomComponent):
+ display_name: str = "SearchApi Tool"
+ description: str = "Real-time search engine results API."
+ documentation: str = "https://www.searchapi.io/docs/google"
+ field_config = {
+ "engine": {
+ "display_name": "Engine",
+ "field_type": "str",
+ "info": "The search engine to use.",
+ },
+ "api_key": {
+ "display_name": "API Key",
+ "field_type": "str",
+ "required": True,
+ "password": True,
+ "info": "The API key to use SearchApi.",
+ },
+ }
+
+ def build(
+ self,
+ engine: str,
+ api_key: str,
+ ) -> Tool:
+ search_api_wrapper = SearchApiAPIWrapper(engine=engine, searchapi_api_key=api_key)
+
+ tool = SearchAPIRun(api_wrapper=search_api_wrapper)
+
+ self.status = tool
+ return tool
diff --git a/src/backend/langflow/services/cache/__init__.py b/src/backend/langflow/services/cache/__init__.py
deleted file mode 100644
index fa6c3ae51..000000000
--- a/src/backend/langflow/services/cache/__init__.py
+++ /dev/null
@@ -1,17 +0,0 @@
-from langflow.services.cache.service import (
- AsyncInMemoryCache,
- BaseCacheService,
- RedisCache,
- ThreadingInMemoryCache,
-)
-
-from . import factory, service
-
-__all__ = [
- "factory",
- "service",
- "ThreadingInMemoryCache",
- "AsyncInMemoryCache",
- "BaseCacheService",
- "RedisCache",
-]
diff --git a/src/backend/langflow/services/database/models/component/__init__.py b/src/backend/langflow/services/database/models/component/__init__.py
deleted file mode 100644
index c5ad7d47f..000000000
--- a/src/backend/langflow/services/database/models/component/__init__.py
+++ /dev/null
@@ -1,3 +0,0 @@
-from .model import Component, ComponentModel
-
-__all__ = ["Component", "ComponentModel"]
diff --git a/src/backend/langflow/services/database/models/component/model.py b/src/backend/langflow/services/database/models/component/model.py
deleted file mode 100644
index 0a5afc440..000000000
--- a/src/backend/langflow/services/database/models/component/model.py
+++ /dev/null
@@ -1,29 +0,0 @@
-import uuid
-from datetime import datetime
-from typing import Optional
-
-from sqlmodel import Field, SQLModel
-
-
-class Component(SQLModel, table=True):
- id: uuid.UUID = Field(default_factory=uuid.uuid4, primary_key=True)
- frontend_node_id: uuid.UUID = Field(index=True)
- name: str = Field(index=True)
- description: Optional[str] = Field(default=None)
- python_code: Optional[str] = Field(default=None)
- return_type: Optional[str] = Field(default=None)
- is_disabled: bool = Field(default=False)
- is_read_only: bool = Field(default=False)
- create_at: datetime = Field(default_factory=datetime.utcnow)
- update_at: datetime = Field(default_factory=datetime.utcnow)
-
-
-class ComponentModel(SQLModel):
- id: uuid.UUID = Field(default_factory=uuid.uuid4)
- frontend_node_id: uuid.UUID = Field(default=uuid.uuid4())
- name: str = Field(default="")
- description: Optional[str] = None
- python_code: Optional[str] = None
- return_type: Optional[str] = None
- is_disabled: bool = False
- is_read_only: bool = False
diff --git a/src/backend/langflow/services/factory.py b/src/backend/langflow/services/factory.py
deleted file mode 100644
index 874d7374c..000000000
--- a/src/backend/langflow/services/factory.py
+++ /dev/null
@@ -1,12 +0,0 @@
-from typing import TYPE_CHECKING
-
-if TYPE_CHECKING:
- from langflow.services.base import Service
-
-
-class ServiceFactory:
- def __init__(self, service_class):
- self.service_class = service_class
-
- def create(self, *args, **kwargs) -> "Service":
- raise NotImplementedError
diff --git a/src/frontend/src/CustomNodes/GenericNode/components/parameterComponent/index.tsx b/src/frontend/src/CustomNodes/GenericNode/components/parameterComponent/index.tsx
index 5d2c8dd9d..90783f5bb 100644
--- a/src/frontend/src/CustomNodes/GenericNode/components/parameterComponent/index.tsx
+++ b/src/frontend/src/CustomNodes/GenericNode/components/parameterComponent/index.tsx
@@ -616,9 +616,7 @@ export default function ParameterComponent({
disabled={disabled}
name={name}
data={data}
- button_text={
- data.node?.template[name].refresh_button_text ?? "Refresh"
- }
+ button_text={data.node?.template[name].refresh_button_text}
className="extra-side-bar-buttons ml-2 mt-1"
handleUpdateValues={handleRefreshButtonPress}
id={"refresh-button-" + name}
diff --git a/src/frontend/src/components/IOview/index.tsx b/src/frontend/src/components/IOview/index.tsx
index 2e57bf269..69bed236e 100644
--- a/src/frontend/src/components/IOview/index.tsx
+++ b/src/frontend/src/components/IOview/index.tsx
@@ -129,7 +129,7 @@ export default function IOView({
-
+
{selectedTab !== 0 && (
void;
@@ -45,7 +45,7 @@ function RefreshButton({
onClick={handleClick}
id={id}
>
-
{button_text}
+ {button_text &&
{button_text}}
{
data.node = nodeClass;
diff --git a/src/frontend/src/pages/FlowPage/components/nodeToolbarComponent/index.tsx b/src/frontend/src/pages/FlowPage/components/nodeToolbarComponent/index.tsx
index 92a3a7395..ae3b0b561 100644
--- a/src/frontend/src/pages/FlowPage/components/nodeToolbarComponent/index.tsx
+++ b/src/frontend/src/pages/FlowPage/components/nodeToolbarComponent/index.tsx
@@ -477,6 +477,7 @@ export default function NodeToolbarComponent({
value={"Update"}
icon={"Code"}
dataTestId="update-button-modal"
+ ping={isOutdated}
/>
)}
@@ -616,12 +617,12 @@ export default function NodeToolbarComponent({
open={showModalAdvanced}
setOpen={setShowModalAdvanced}
/>
-
+ />}
{hasCode && (
{" "}
- {value}{" "}
+ className={`relative top-0.5 mr-2 h-4 w-4 ${styleObj?.iconClasses} ${
+ ping && "animate-pulse text-green-500"
+ }`}
+ />
+ {value}
+
{isMac ? (
((set, get) => ({
get().nodes.filter((node) => nodes.includes(node.id)),
get().edges
);
+
const errors = errorsObjs.map((obj) => obj.errors).flat();
if (errors.length > 0) {
setErrorData({
@@ -450,7 +451,7 @@ const useFlowStore = create((set, get) => ({
});
get().setIsBuilding(false);
const ids = errorsObjs.map((obj) => obj.id).flat();
- console.log("ids", ids);
+
get().updateBuildStatus(ids, BuildStatus.ERROR);
throw new Error("Invalid nodes");
}
@@ -490,6 +491,7 @@ const useFlowStore = create((set, get) => ({
verticesIds: newIds,
verticesLayers: newLayers,
runId: runId,
+ verticesToRun: get().verticesBuild!.verticesToRun,
});
get().updateBuildStatus(
vertexBuildData.top_level_vertices,
@@ -559,6 +561,7 @@ const useFlowStore = create((set, get) => ({
verticesIds: string[];
verticesLayers: VertexLayerElementType[][];
runId: string;
+ verticesToRun: string[];
} | null
) => {
set({ verticesBuild: vertices });
@@ -588,7 +591,7 @@ const useFlowStore = create((set, get) => ({
},
updateBuildStatus: (nodeIdList: string[], status: BuildStatus) => {
const newFlowBuildStatus = { ...get().flowBuildStatus };
- console.log("newFlowBuildStatus", newFlowBuildStatus);
+
nodeIdList.forEach((id) => {
newFlowBuildStatus[id] = {
status,
diff --git a/src/frontend/src/types/api/index.ts b/src/frontend/src/types/api/index.ts
index cfbd64989..faef230a5 100644
--- a/src/frontend/src/types/api/index.ts
+++ b/src/frontend/src/types/api/index.ts
@@ -139,6 +139,7 @@ export type Component = {
export type VerticesOrderTypeAPI = {
ids: Array;
+ vertices_to_run: Array;
run_id: string;
};
diff --git a/src/frontend/src/types/components/index.ts b/src/frontend/src/types/components/index.ts
index aa5893dc2..badf9a385 100644
--- a/src/frontend/src/types/components/index.ts
+++ b/src/frontend/src/types/components/index.ts
@@ -724,4 +724,5 @@ export type toolbarSelectItemProps = {
valueClasses?: string;
};
dataTestId: string;
+ ping?: boolean;
};
diff --git a/src/frontend/src/types/zustand/flow/index.ts b/src/frontend/src/types/zustand/flow/index.ts
index 0fa8c971d..71853c5a7 100644
--- a/src/frontend/src/types/zustand/flow/index.ts
+++ b/src/frontend/src/types/zustand/flow/index.ts
@@ -110,6 +110,7 @@ export type FlowStoreType = {
verticesIds: string[];
verticesLayers: VertexLayerElementType[][];
runId: string;
+ verticesToRun: string[];
} | null
) => void;
addToVerticesBuild: (vertices: string[]) => void;
@@ -118,6 +119,7 @@ export type FlowStoreType = {
verticesIds: string[];
verticesLayers: VertexLayerElementType[][];
runId: string;
+ verticesToRun: string[];
} | null;
updateBuildStatus: (nodeId: string[], status: BuildStatus) => void;
revertBuiltStatusFromBuilding: () => void;
diff --git a/src/frontend/src/utils/buildUtils.ts b/src/frontend/src/utils/buildUtils.ts
index 1121fca04..03264d1b9 100644
--- a/src/frontend/src/utils/buildUtils.ts
+++ b/src/frontend/src/utils/buildUtils.ts
@@ -53,6 +53,7 @@ export async function updateVerticesOrder(
verticesLayers: VertexLayerElementType[][];
verticesIds: string[];
runId: string;
+ verticesToRun: string[];
}> {
return new Promise(async (resolve, reject) => {
const setErrorData = useAlertStore.getState().setErrorData;
@@ -60,7 +61,6 @@ export async function updateVerticesOrder(
try {
orderResponse = await getVerticesOrder(flowId, startNodeId, stopNodeId);
} catch (error: any) {
- console.log(error);
setErrorData({
title: "Oops! Looks like you missed something",
list: [error.response?.data?.detail ?? "Unknown Error"],
@@ -77,30 +77,16 @@ export async function updateVerticesOrder(
});
const runId = orderResponse.data.run_id;
- // if (nodeId) {
- // for (let i = 0; i < verticesOrder.length; i += 1) {
- // const innerArray = verticesOrder[i];
- // const idIndex = innerArray.indexOf(nodeId);
- // if (idIndex !== -1) {
- // // If there's a nodeId, we want to run just that component and not the entire layer
- // // because a layer contains dependencies for the next layer
- // // and we are stopping at the layer that contains the nodeId
- // verticesLayers.push([innerArray[idIndex]]);
- // break; // Stop searching after finding the first occurrence
- // }
- // // If the targetId is not found, include the entire inner array
- // verticesLayers.push(innerArray);
- // }
- // } else {
- // verticesLayers = verticesOrder;
- // }
+ const verticesToRun = orderResponse.data.vertices_to_run;
+
const verticesIds = orderResponse.data.ids;
useFlowStore.getState().updateVerticesBuild({
verticesLayers,
verticesIds,
runId,
+ verticesToRun,
});
- resolve({ verticesLayers, verticesIds, runId });
+ resolve({ verticesLayers, verticesIds, runId, verticesToRun });
});
}
@@ -122,8 +108,22 @@ export async function buildVertices({
if (startNodeId && stopNodeId) {
return;
}
+
if (!verticesBuild || startNodeId || stopNodeId) {
- verticesBuild = await updateVerticesOrder(flowId, startNodeId, stopNodeId);
+ let verticesOrderResponse = await updateVerticesOrder(
+ flowId,
+ startNodeId,
+ stopNodeId
+ );
+ if (onValidateNodes) {
+ try {
+ onValidateNodes(verticesOrderResponse.verticesToRun);
+ } catch (e) {
+ return;
+ }
+ }
+ if (onGetOrderSuccess) onGetOrderSuccess();
+ verticesBuild = useFlowStore.getState().verticesBuild;
}
const verticesIds = verticesBuild?.verticesIds!;
@@ -131,17 +131,6 @@ export async function buildVertices({
const runId = verticesBuild?.runId!;
let stop = false;
- if (onGetOrderSuccess) onGetOrderSuccess();
-
- if (onValidateNodes) {
- try {
- const nodes = useFlowStore.getState().nodes;
- onValidateNodes(nodes.map((node) => node.id));
- } catch (e) {
- return;
- }
- }
-
useFlowStore.getState().updateBuildStatus(verticesIds, BuildStatus.TO_BUILD);
useFlowStore.getState().setIsBuilding(true);
let currentLayerIndex = 0; // Start with the first layer
diff --git a/src/frontend/src/utils/utils.ts b/src/frontend/src/utils/utils.ts
index 8732ed3d1..28d28fa90 100644
--- a/src/frontend/src/utils/utils.ts
+++ b/src/frontend/src/utils/utils.ts
@@ -429,7 +429,7 @@ export function getPythonCode(
const flowName = flow.name;
const tweaks = buildTweaks(flow);
const inputs = buildInputs();
- return `from langflow import load_flow_from_json
+ return `from langflow.load import load_flow_from_json
TWEAKS = ${
tweak && tweak.length > 0
? buildTweakObject(tweak)
diff --git a/src/frontend/tests/custom_component_full.ts b/src/frontend/tests/custom_component_full.ts
index c38d7ff06..d5a890a1b 100644
--- a/src/frontend/tests/custom_component_full.ts
+++ b/src/frontend/tests/custom_component_full.ts
@@ -1,4 +1,4 @@
-export const custom = `from langflow import CustomComponent
+export const custom = `from langflow.custom import CustomComponent
from langchain.llms.base import BaseLLM
from langchain.chains import LLMChain
diff --git a/src/frontend/tests/end-to-end/assets/collection.json b/src/frontend/tests/end-to-end/assets/collection.json
index 3872089d0..7b58fdadf 100644
--- a/src/frontend/tests/end-to-end/assets/collection.json
+++ b/src/frontend/tests/end-to-end/assets/collection.json
@@ -10,7 +10,10 @@
"height": 631,
"id": "ChatOpenAI-Hz56M",
"type": "genericNode",
- "position": { "x": 543.1816229116944, "y": 942.891611351432 },
+ "position": {
+ "x": 543.1816229116944,
+ "y": 942.891611351432
+ },
"data": {
"type": "ChatOpenAI",
"node": {
@@ -238,7 +241,10 @@
"height": 387,
"id": "AgentInitializer-QiQ4x",
"type": "genericNode",
- "position": { "x": 1036.6064439140812, "y": 645.1919693466587 },
+ "position": {
+ "x": 1036.6064439140812,
+ "y": 645.1919693466587
+ },
"data": {
"type": "AgentInitializer",
"node": {
@@ -299,7 +305,10 @@
"_type": "initialize_agent"
},
"description": "Construct a zero shot agent from an LLM and tools.",
- "base_classes": ["AgentExecutor", "function"],
+ "base_classes": [
+ "AgentExecutor",
+ "function"
+ ],
"display_name": "AgentInitializer"
},
"id": "AgentInitializer-QiQ4x",
@@ -316,7 +325,10 @@
"height": 437,
"id": "PythonFunctionTool-kX99N",
"type": "genericNode",
- "position": { "x": 553.050119331742, "y": 412.9533535948685 },
+ "position": {
+ "x": 553.050119331742,
+ "y": 412.9533535948685
+ },
"data": {
"type": "PythonFunctionTool",
"node": {
@@ -360,7 +372,9 @@
"_type": "PythonFunctionTool"
},
"description": "Python function to be executed.",
- "base_classes": ["Tool"],
+ "base_classes": [
+ "Tool"
+ ],
"display_name": "PythonFunctionTool"
},
"id": "PythonFunctionTool-kX99N",
@@ -380,7 +394,9 @@
"sourceHandle": "{œbaseClassesœ:[œSerializableœ,œBaseChatModelœ,œChatOpenAIœ,œBaseLanguageModelœ],œdataTypeœ:œChatOpenAIœ,œidœ:œChatOpenAI-Hz56Mœ}",
"target": "AgentInitializer-QiQ4x",
"targetHandle": "{œfieldNameœ:œllmœ,œidœ:œAgentInitializer-QiQ4xœ,œinputTypesœ:null,œtypeœ:œBaseLanguageModelœ}",
- "style": { "stroke": "#555" },
+ "style": {
+ "stroke": "#555"
+ },
"className": "stroke-gray-900 stroke-connection",
"animated": false,
"id": "reactflow__edge-ChatOpenAI-Hz56M{œbaseClassesœ:[œSerializableœ,œBaseChatModelœ,œChatOpenAIœ,œBaseLanguageModelœ],œdataTypeœ:œChatOpenAIœ,œidœ:œChatOpenAI-Hz56Mœ}-AgentInitializer-QiQ4x{œfieldNameœ:œllmœ,œidœ:œAgentInitializer-QiQ4xœ,œinputTypesœ:null,œtypeœ:œBaseLanguageModelœ}",
@@ -409,14 +425,18 @@
"sourceHandle": "{œbaseClassesœ:[œToolœ],œdataTypeœ:œPythonFunctionToolœ,œidœ:œPythonFunctionTool-kX99Nœ}",
"target": "AgentInitializer-QiQ4x",
"targetHandle": "{œfieldNameœ:œtoolsœ,œidœ:œAgentInitializer-QiQ4xœ,œinputTypesœ:null,œtypeœ:œToolœ}",
- "style": { "stroke": "#555" },
+ "style": {
+ "stroke": "#555"
+ },
"className": "stroke-gray-900 stroke-connection",
"animated": false,
"id": "reactflow__edge-PythonFunctionTool-kX99N{œbaseClassesœ:[œToolœ],œdataTypeœ:œPythonFunctionToolœ,œidœ:œPythonFunctionTool-kX99Nœ}-AgentInitializer-QiQ4x{œfieldNameœ:œtoolsœ,œidœ:œAgentInitializer-QiQ4xœ,œinputTypesœ:null,œtypeœ:œToolœ}",
"selected": false,
"data": {
"sourceHandle": {
- "baseClasses": ["Tool"],
+ "baseClasses": [
+ "Tool"
+ ],
"dataType": "PythonFunctionTool",
"id": "PythonFunctionTool-kX99N"
},
@@ -446,7 +466,10 @@
{
"id": "CustomComponent-w4WCp",
"type": "genericNode",
- "position": { "x": 536, "y": 337 },
+ "position": {
+ "x": 536,
+ "y": 337
+ },
"data": {
"type": "CustomComponent",
"node": {
@@ -456,7 +479,7 @@
"placeholder": "",
"show": true,
"multiline": true,
- "value": "from langflow import CustomComponent\n\nfrom langchain.llms.base import BaseLLM\nfrom langchain.chains import LLMChain\nfrom langchain.prompts import PromptTemplate\nfrom langchain.schema import Document\n\nimport requests\n\nclass YourComponent(CustomComponent):\n display_name: str = \"Custom Component\"\n description: str = \"Create any custom component you want!\"\n\n def build_config(self):\n return { \"url\": { \"multiline\": True, \"required\": True } }\n\n def build(self, url: str, llm: BaseLLM, prompt: PromptTemplate) -> Document:\n response = requests.get(url)\n chain = LLMChain(llm=llm, prompt=prompt)\n result = chain.run(response.text[:300])\n return Document(page_content=str(result))\n",
+ "value": "from langflow.custom import CustomComponent\n\nfrom langchain.llms.base import BaseLLM\nfrom langchain.chains import LLMChain\nfrom langchain.prompts import PromptTemplate\nfrom langchain.schema import Document\n\nimport requests\n\nclass YourComponent(CustomComponent):\n display_name: str = \"Custom Component\"\n description: str = \"Create any custom component you want!\"\n\n def build_config(self):\n return { \"url\": { \"multiline\": True, \"required\": True } }\n\n def build(self, url: str, llm: BaseLLM, prompt: PromptTemplate) -> Document:\n response = requests.get(url)\n chain = LLMChain(llm=llm, prompt=prompt)\n result = chain.run(response.text[:300])\n return Document(page_content=str(result))\n",
"password": false,
"name": "code",
"advanced": false,
@@ -478,11 +501,18 @@
},
"id": "CustomComponent-w4WCp"
},
- "positionAbsolute": { "x": 536, "y": 337 }
+ "positionAbsolute": {
+ "x": 536,
+ "y": 337
+ }
}
],
"edges": [],
- "viewport": { "x": 0, "y": 0, "zoom": 1 }
+ "viewport": {
+ "x": 0,
+ "y": 0,
+ "zoom": 1
+ }
},
"id": "e43cf2c8-cd64-4936-8170-b207a8b109c4",
"user_id": "6f6ebc2c-9e7a-4c35-84fc-51760db10d9b"
@@ -497,7 +527,10 @@
"height": 631,
"id": "ChatOpenAI-7GFF0",
"type": "genericNode",
- "position": { "x": 543.1816229116944, "y": 942.891611351432 },
+ "position": {
+ "x": 543.1816229116944,
+ "y": 942.891611351432
+ },
"data": {
"type": "ChatOpenAI",
"node": {
@@ -725,7 +758,10 @@
"height": 387,
"id": "AgentInitializer-YJgqs",
"type": "genericNode",
- "position": { "x": 1036.6064439140812, "y": 645.1919693466587 },
+ "position": {
+ "x": 1036.6064439140812,
+ "y": 645.1919693466587
+ },
"data": {
"type": "AgentInitializer",
"node": {
@@ -786,7 +822,10 @@
"_type": "initialize_agent"
},
"description": "Construct a zero shot agent from an LLM and tools.",
- "base_classes": ["AgentExecutor", "function"],
+ "base_classes": [
+ "AgentExecutor",
+ "function"
+ ],
"display_name": "AgentInitializer"
},
"id": "AgentInitializer-YJgqs",
@@ -803,7 +842,10 @@
"height": 437,
"id": "PythonFunctionTool-gqQDg",
"type": "genericNode",
- "position": { "x": 553.050119331742, "y": 412.9533535948685 },
+ "position": {
+ "x": 553.050119331742,
+ "y": 412.9533535948685
+ },
"data": {
"type": "PythonFunctionTool",
"node": {
@@ -847,7 +889,9 @@
"_type": "PythonFunctionTool"
},
"description": "Python function to be executed.",
- "base_classes": ["Tool"],
+ "base_classes": [
+ "Tool"
+ ],
"display_name": "PythonFunctionTool"
},
"id": "PythonFunctionTool-gqQDg",
@@ -867,7 +911,9 @@
"sourceHandle": "{œbaseClassesœ:[œSerializableœ,œBaseChatModelœ,œChatOpenAIœ,œBaseLanguageModelœ],œdataTypeœ:œChatOpenAIœ,œidœ:œChatOpenAI-7GFF0œ}",
"target": "AgentInitializer-YJgqs",
"targetHandle": "{œfieldNameœ:œllmœ,œidœ:œAgentInitializer-YJgqsœ,œinputTypesœ:null,œtypeœ:œBaseLanguageModelœ}",
- "style": { "stroke": "#555" },
+ "style": {
+ "stroke": "#555"
+ },
"className": "stroke-gray-900 stroke-connection",
"animated": false,
"id": "reactflow__edge-ChatOpenAI-7GFF0{œbaseClassesœ:[œSerializableœ,œBaseChatModelœ,œChatOpenAIœ,œBaseLanguageModelœ],œdataTypeœ:œChatOpenAIœ,œidœ:œChatOpenAI-7GFF0œ}-AgentInitializer-YJgqs{œfieldNameœ:œllmœ,œidœ:œAgentInitializer-YJgqsœ,œinputTypesœ:null,œtypeœ:œBaseLanguageModelœ}",
@@ -896,14 +942,18 @@
"sourceHandle": "{œbaseClassesœ:[œToolœ],œdataTypeœ:œPythonFunctionToolœ,œidœ:œPythonFunctionTool-gqQDgœ}",
"target": "AgentInitializer-YJgqs",
"targetHandle": "{œfieldNameœ:œtoolsœ,œidœ:œAgentInitializer-YJgqsœ,œinputTypesœ:null,œtypeœ:œToolœ}",
- "style": { "stroke": "#555" },
+ "style": {
+ "stroke": "#555"
+ },
"className": "stroke-gray-900 stroke-connection",
"animated": false,
"id": "reactflow__edge-PythonFunctionTool-gqQDg{œbaseClassesœ:[œToolœ],œdataTypeœ:œPythonFunctionToolœ,œidœ:œPythonFunctionTool-gqQDgœ}-AgentInitializer-YJgqs{œfieldNameœ:œtoolsœ,œidœ:œAgentInitializer-YJgqsœ,œinputTypesœ:null,œtypeœ:œToolœ}",
"selected": false,
"data": {
"sourceHandle": {
- "baseClasses": ["Tool"],
+ "baseClasses": [
+ "Tool"
+ ],
"dataType": "PythonFunctionTool",
"id": "PythonFunctionTool-gqQDg"
},
@@ -933,7 +983,10 @@
{
"id": "CustomComponent-iF9Zr",
"type": "genericNode",
- "position": { "x": 536, "y": 337 },
+ "position": {
+ "x": 536,
+ "y": 337
+ },
"data": {
"type": "CustomComponent",
"node": {
@@ -943,7 +996,7 @@
"placeholder": "",
"show": true,
"multiline": true,
- "value": "from langflow import CustomComponent\n\nfrom langchain.llms.base import BaseLLM\nfrom langchain.chains import LLMChain\nfrom langchain.prompts import PromptTemplate\nfrom langchain.schema import Document\n\nimport requests\n\nclass YourComponent(CustomComponent):\n display_name: str = \"Custom Component\"\n description: str = \"Create any custom component you want!\"\n\n def build_config(self):\n return { \"url\": { \"multiline\": True, \"required\": True } }\n\n def build(self, url: str, llm: BaseLLM, prompt: PromptTemplate) -> Document:\n response = requests.get(url)\n chain = LLMChain(llm=llm, prompt=prompt)\n result = chain.run(response.text[:300])\n return Document(page_content=str(result))\n",
+ "value": "from langflow.custom import CustomComponent\n\nfrom langchain.llms.base import BaseLLM\nfrom langchain.chains import LLMChain\nfrom langchain.prompts import PromptTemplate\nfrom langchain.schema import Document\n\nimport requests\n\nclass YourComponent(CustomComponent):\n display_name: str = \"Custom Component\"\n description: str = \"Create any custom component you want!\"\n\n def build_config(self):\n return { \"url\": { \"multiline\": True, \"required\": True } }\n\n def build(self, url: str, llm: BaseLLM, prompt: PromptTemplate) -> Document:\n response = requests.get(url)\n chain = LLMChain(llm=llm, prompt=prompt)\n result = chain.run(response.text[:300])\n return Document(page_content=str(result))\n",
"password": false,
"name": "code",
"advanced": false,
@@ -965,11 +1018,18 @@
},
"id": "CustomComponent-iF9Zr"
},
- "positionAbsolute": { "x": 536, "y": 337 }
+ "positionAbsolute": {
+ "x": 536,
+ "y": 337
+ }
}
],
"edges": [],
- "viewport": { "x": 0, "y": 0, "zoom": 1 }
+ "viewport": {
+ "x": 0,
+ "y": 0,
+ "zoom": 1
+ }
},
"id": "88a0e6a1-8144-4bff-b28c-d312ae5c8a10",
"user_id": "6f6ebc2c-9e7a-4c35-84fc-51760db10d9b"
@@ -984,7 +1044,10 @@
"height": 631,
"id": "ChatOpenAI-cljAK",
"type": "genericNode",
- "position": { "x": 543.1816229116944, "y": 942.891611351432 },
+ "position": {
+ "x": 543.1816229116944,
+ "y": 942.891611351432
+ },
"data": {
"type": "ChatOpenAI",
"node": {
@@ -1212,7 +1275,10 @@
"height": 387,
"id": "AgentInitializer-grV0u",
"type": "genericNode",
- "position": { "x": 1036.6064439140812, "y": 645.1919693466587 },
+ "position": {
+ "x": 1036.6064439140812,
+ "y": 645.1919693466587
+ },
"data": {
"type": "AgentInitializer",
"node": {
@@ -1273,7 +1339,10 @@
"_type": "initialize_agent"
},
"description": "Construct a zero shot agent from an LLM and tools.",
- "base_classes": ["AgentExecutor", "function"],
+ "base_classes": [
+ "AgentExecutor",
+ "function"
+ ],
"display_name": "AgentInitializer"
},
"id": "AgentInitializer-grV0u",
@@ -1290,7 +1359,10 @@
"height": 437,
"id": "PythonFunctionTool-SctM2",
"type": "genericNode",
- "position": { "x": 553.050119331742, "y": 412.9533535948685 },
+ "position": {
+ "x": 553.050119331742,
+ "y": 412.9533535948685
+ },
"data": {
"type": "PythonFunctionTool",
"node": {
@@ -1334,7 +1406,9 @@
"_type": "PythonFunctionTool"
},
"description": "Python function to be executed.",
- "base_classes": ["Tool"],
+ "base_classes": [
+ "Tool"
+ ],
"display_name": "PythonFunctionTool"
},
"id": "PythonFunctionTool-SctM2",
@@ -1354,7 +1428,9 @@
"sourceHandle": "{œbaseClassesœ:[œSerializableœ,œBaseChatModelœ,œChatOpenAIœ,œBaseLanguageModelœ],œdataTypeœ:œChatOpenAIœ,œidœ:œChatOpenAI-cljAKœ}",
"target": "AgentInitializer-grV0u",
"targetHandle": "{œfieldNameœ:œllmœ,œidœ:œAgentInitializer-grV0uœ,œinputTypesœ:null,œtypeœ:œBaseLanguageModelœ}",
- "style": { "stroke": "#555" },
+ "style": {
+ "stroke": "#555"
+ },
"className": "stroke-gray-900 stroke-connection",
"animated": false,
"id": "reactflow__edge-ChatOpenAI-cljAK{œbaseClassesœ:[œSerializableœ,œBaseChatModelœ,œChatOpenAIœ,œBaseLanguageModelœ],œdataTypeœ:œChatOpenAIœ,œidœ:œChatOpenAI-cljAKœ}-AgentInitializer-grV0u{œfieldNameœ:œllmœ,œidœ:œAgentInitializer-grV0uœ,œinputTypesœ:null,œtypeœ:œBaseLanguageModelœ}",
@@ -1383,14 +1459,18 @@
"sourceHandle": "{œbaseClassesœ:[œToolœ],œdataTypeœ:œPythonFunctionToolœ,œidœ:œPythonFunctionTool-SctM2œ}",
"target": "AgentInitializer-grV0u",
"targetHandle": "{œfieldNameœ:œtoolsœ,œidœ:œAgentInitializer-grV0uœ,œinputTypesœ:null,œtypeœ:œToolœ}",
- "style": { "stroke": "#555" },
+ "style": {
+ "stroke": "#555"
+ },
"className": "stroke-gray-900 stroke-connection",
"animated": false,
"id": "reactflow__edge-PythonFunctionTool-SctM2{œbaseClassesœ:[œToolœ],œdataTypeœ:œPythonFunctionToolœ,œidœ:œPythonFunctionTool-SctM2œ}-AgentInitializer-grV0u{œfieldNameœ:œtoolsœ,œidœ:œAgentInitializer-grV0uœ,œinputTypesœ:null,œtypeœ:œToolœ}",
"selected": false,
"data": {
"sourceHandle": {
- "baseClasses": ["Tool"],
+ "baseClasses": [
+ "Tool"
+ ],
"dataType": "PythonFunctionTool",
"id": "PythonFunctionTool-SctM2"
},
@@ -1420,7 +1500,10 @@
{
"id": "CustomComponent-z5kAP",
"type": "genericNode",
- "position": { "x": 536, "y": 337 },
+ "position": {
+ "x": 536,
+ "y": 337
+ },
"data": {
"type": "CustomComponent",
"node": {
@@ -1430,7 +1513,7 @@
"placeholder": "",
"show": true,
"multiline": true,
- "value": "from langflow import CustomComponent\n\nfrom langchain.llms.base import BaseLLM\nfrom langchain.chains import LLMChain\nfrom langchain.prompts import PromptTemplate\nfrom langchain.schema import Document\n\nimport requests\n\nclass YourComponent(CustomComponent):\n display_name: str = \"Custom Component\"\n description: str = \"Create any custom component you want!\"\n\n def build_config(self):\n return { \"url\": { \"multiline\": True, \"required\": True } }\n\n def build(self, url: str, llm: BaseLLM, prompt: PromptTemplate) -> Document:\n response = requests.get(url)\n chain = LLMChain(llm=llm, prompt=prompt)\n result = chain.run(response.text[:300])\n return Document(page_content=str(result))\n",
+ "value": "from langflow.custom import CustomComponent\n\nfrom langchain.llms.base import BaseLLM\nfrom langchain.chains import LLMChain\nfrom langchain.prompts import PromptTemplate\nfrom langchain.schema import Document\n\nimport requests\n\nclass YourComponent(CustomComponent):\n display_name: str = \"Custom Component\"\n description: str = \"Create any custom component you want!\"\n\n def build_config(self):\n return { \"url\": { \"multiline\": True, \"required\": True } }\n\n def build(self, url: str, llm: BaseLLM, prompt: PromptTemplate) -> Document:\n response = requests.get(url)\n chain = LLMChain(llm=llm, prompt=prompt)\n result = chain.run(response.text[:300])\n return Document(page_content=str(result))\n",
"password": false,
"name": "code",
"advanced": false,
@@ -1452,11 +1535,18 @@
},
"id": "CustomComponent-z5kAP"
},
- "positionAbsolute": { "x": 536, "y": 337 }
+ "positionAbsolute": {
+ "x": 536,
+ "y": 337
+ }
}
],
"edges": [],
- "viewport": { "x": 0, "y": 0, "zoom": 1 }
+ "viewport": {
+ "x": 0,
+ "y": 0,
+ "zoom": 1
+ }
},
"id": "3128b556-35c7-4ced-a834-70fbeb1a410f",
"user_id": "6f6ebc2c-9e7a-4c35-84fc-51760db10d9b"
@@ -1469,7 +1559,10 @@
{
"id": "CustomComponent-ZieNZ",
"type": "genericNode",
- "position": { "x": 536, "y": 337 },
+ "position": {
+ "x": 536,
+ "y": 337
+ },
"data": {
"type": "CustomComponent",
"node": {
@@ -1479,7 +1572,7 @@
"placeholder": "",
"show": true,
"multiline": true,
- "value": "from langflow import CustomComponent\n\nfrom langchain.llms.base import BaseLLM\nfrom langchain.chains import LLMChain\nfrom langchain.prompts import PromptTemplate\nfrom langchain.schema import Document\n\nimport requests\n\nclass YourComponent(CustomComponent):\n display_name: str = \"Custom Component\"\n description: str = \"Create any custom component you want!\"\n\n def build_config(self):\n return { \"url\": { \"multiline\": True, \"required\": True } }\n\n def build(self, url: str, llm: BaseLLM, prompt: PromptTemplate) -> Document:\n response = requests.get(url)\n chain = LLMChain(llm=llm, prompt=prompt)\n result = chain.run(response.text[:300])\n return Document(page_content=str(result))\n",
+ "value": "from langflow.custom import CustomComponent\n\nfrom langchain.llms.base import BaseLLM\nfrom langchain.chains import LLMChain\nfrom langchain.prompts import PromptTemplate\nfrom langchain.schema import Document\n\nimport requests\n\nclass YourComponent(CustomComponent):\n display_name: str = \"Custom Component\"\n description: str = \"Create any custom component you want!\"\n\n def build_config(self):\n return { \"url\": { \"multiline\": True, \"required\": True } }\n\n def build(self, url: str, llm: BaseLLM, prompt: PromptTemplate) -> Document:\n response = requests.get(url)\n chain = LLMChain(llm=llm, prompt=prompt)\n result = chain.run(response.text[:300])\n return Document(page_content=str(result))\n",
"password": false,
"name": "code",
"advanced": false,
@@ -1501,11 +1594,18 @@
},
"id": "CustomComponent-ZieNZ"
},
- "positionAbsolute": { "x": 536, "y": 337 }
+ "positionAbsolute": {
+ "x": 536,
+ "y": 337
+ }
}
],
"edges": [],
- "viewport": { "x": 0, "y": 0, "zoom": 1 }
+ "viewport": {
+ "x": 0,
+ "y": 0,
+ "zoom": 1
+ }
},
"id": "d3f2c379-9df5-49a0-b33d-d855c2085949",
"user_id": "6f6ebc2c-9e7a-4c35-84fc-51760db10d9b"
@@ -1518,7 +1618,10 @@
{
"id": "CustomComponent-CcHG0",
"type": "genericNode",
- "position": { "x": 536, "y": 337 },
+ "position": {
+ "x": 536,
+ "y": 337
+ },
"data": {
"type": "CustomComponent",
"node": {
@@ -1528,7 +1631,7 @@
"placeholder": "",
"show": true,
"multiline": true,
- "value": "from langflow import CustomComponent\n\nfrom langchain.llms.base import BaseLLM\nfrom langchain.chains import LLMChain\nfrom langchain.prompts import PromptTemplate\nfrom langchain.schema import Document\n\nimport requests\n\nclass YourComponent(CustomComponent):\n display_name: str = \"Custom Component\"\n description: str = \"Create any custom component you want!\"\n\n def build_config(self):\n return { \"url\": { \"multiline\": True, \"required\": True } }\n\n def build(self, url: str, llm: BaseLLM, prompt: PromptTemplate) -> Document:\n response = requests.get(url)\n chain = LLMChain(llm=llm, prompt=prompt)\n result = chain.run(response.text[:300])\n return Document(page_content=str(result))\n",
+ "value": "from langflow.custom import CustomComponent\n\nfrom langchain.llms.base import BaseLLM\nfrom langchain.chains import LLMChain\nfrom langchain.prompts import PromptTemplate\nfrom langchain.schema import Document\n\nimport requests\n\nclass YourComponent(CustomComponent):\n display_name: str = \"Custom Component\"\n description: str = \"Create any custom component you want!\"\n\n def build_config(self):\n return { \"url\": { \"multiline\": True, \"required\": True } }\n\n def build(self, url: str, llm: BaseLLM, prompt: PromptTemplate) -> Document:\n response = requests.get(url)\n chain = LLMChain(llm=llm, prompt=prompt)\n result = chain.run(response.text[:300])\n return Document(page_content=str(result))\n",
"password": false,
"name": "code",
"advanced": false,
@@ -1550,11 +1653,18 @@
},
"id": "CustomComponent-CcHG0"
},
- "positionAbsolute": { "x": 536, "y": 337 }
+ "positionAbsolute": {
+ "x": 536,
+ "y": 337
+ }
}
],
"edges": [],
- "viewport": { "x": 0, "y": 0, "zoom": 1 }
+ "viewport": {
+ "x": 0,
+ "y": 0,
+ "zoom": 1
+ }
},
"id": "74afff1f-b540-43d5-bc66-d18f39d65d57",
"user_id": "6f6ebc2c-9e7a-4c35-84fc-51760db10d9b"
@@ -1567,7 +1677,10 @@
{
"id": "CustomComponent-Q8qSr",
"type": "genericNode",
- "position": { "x": 536, "y": 337 },
+ "position": {
+ "x": 536,
+ "y": 337
+ },
"data": {
"type": "CustomComponent",
"node": {
@@ -1577,7 +1690,7 @@
"placeholder": "",
"show": true,
"multiline": true,
- "value": "from langflow import CustomComponent\n\nfrom langchain.llms.base import BaseLLM\nfrom langchain.chains import LLMChain\nfrom langchain.prompts import PromptTemplate\nfrom langchain.schema import Document\n\nimport requests\n\nclass YourComponent(CustomComponent):\n display_name: str = \"Custom Component\"\n description: str = \"Create any custom component you want!\"\n\n def build_config(self):\n return { \"url\": { \"multiline\": True, \"required\": True } }\n\n def build(self, url: str, llm: BaseLLM, prompt: PromptTemplate) -> Document:\n response = requests.get(url)\n chain = LLMChain(llm=llm, prompt=prompt)\n result = chain.run(response.text[:300])\n return Document(page_content=str(result))\n",
+ "value": "from langflow.custom import CustomComponent\n\nfrom langchain.llms.base import BaseLLM\nfrom langchain.chains import LLMChain\nfrom langchain.prompts import PromptTemplate\nfrom langchain.schema import Document\n\nimport requests\n\nclass YourComponent(CustomComponent):\n display_name: str = \"Custom Component\"\n description: str = \"Create any custom component you want!\"\n\n def build_config(self):\n return { \"url\": { \"multiline\": True, \"required\": True } }\n\n def build(self, url: str, llm: BaseLLM, prompt: PromptTemplate) -> Document:\n response = requests.get(url)\n chain = LLMChain(llm=llm, prompt=prompt)\n result = chain.run(response.text[:300])\n return Document(page_content=str(result))\n",
"password": false,
"name": "code",
"advanced": false,
@@ -1599,11 +1712,18 @@
},
"id": "CustomComponent-Q8qSr"
},
- "positionAbsolute": { "x": 536, "y": 337 }
+ "positionAbsolute": {
+ "x": 536,
+ "y": 337
+ }
}
],
"edges": [],
- "viewport": { "x": 0, "y": 0, "zoom": 1 }
+ "viewport": {
+ "x": 0,
+ "y": 0,
+ "zoom": 1
+ }
},
"id": "b0b1c893-6194-4748-ae10-b5f604b271c2",
"user_id": "6f6ebc2c-9e7a-4c35-84fc-51760db10d9b"
@@ -1616,7 +1736,10 @@
{
"id": "CustomComponent-Lgoca",
"type": "genericNode",
- "position": { "x": 536, "y": 337 },
+ "position": {
+ "x": 536,
+ "y": 337
+ },
"data": {
"type": "CustomComponent",
"node": {
@@ -1626,7 +1749,7 @@
"placeholder": "",
"show": true,
"multiline": true,
- "value": "from langflow import CustomComponent\n\nfrom langchain.llms.base import BaseLLM\nfrom langchain.chains import LLMChain\nfrom langchain.prompts import PromptTemplate\nfrom langchain.schema import Document\n\nimport requests\n\nclass YourComponent(CustomComponent):\n display_name: str = \"Custom Component\"\n description: str = \"Create any custom component you want!\"\n\n def build_config(self):\n return { \"url\": { \"multiline\": True, \"required\": True } }\n\n def build(self, url: str, llm: BaseLLM, prompt: PromptTemplate) -> Document:\n response = requests.get(url)\n chain = LLMChain(llm=llm, prompt=prompt)\n result = chain.run(response.text[:300])\n return Document(page_content=str(result))\n",
+ "value": "from langflow.custom import CustomComponent\n\nfrom langchain.llms.base import BaseLLM\nfrom langchain.chains import LLMChain\nfrom langchain.prompts import PromptTemplate\nfrom langchain.schema import Document\n\nimport requests\n\nclass YourComponent(CustomComponent):\n display_name: str = \"Custom Component\"\n description: str = \"Create any custom component you want!\"\n\n def build_config(self):\n return { \"url\": { \"multiline\": True, \"required\": True } }\n\n def build(self, url: str, llm: BaseLLM, prompt: PromptTemplate) -> Document:\n response = requests.get(url)\n chain = LLMChain(llm=llm, prompt=prompt)\n result = chain.run(response.text[:300])\n return Document(page_content=str(result))\n",
"password": false,
"name": "code",
"advanced": false,
@@ -1648,11 +1771,18 @@
},
"id": "CustomComponent-Lgoca"
},
- "positionAbsolute": { "x": 536, "y": 337 }
+ "positionAbsolute": {
+ "x": 536,
+ "y": 337
+ }
}
],
"edges": [],
- "viewport": { "x": 0, "y": 0, "zoom": 1 }
+ "viewport": {
+ "x": 0,
+ "y": 0,
+ "zoom": 1
+ }
},
"id": "edf1051d-509b-46a2-84c6-b94bdcdc3a4f",
"user_id": "6f6ebc2c-9e7a-4c35-84fc-51760db10d9b"
@@ -1665,7 +1795,10 @@
{
"id": "CustomComponent-6OJGW",
"type": "genericNode",
- "position": { "x": 536, "y": 337 },
+ "position": {
+ "x": 536,
+ "y": 337
+ },
"data": {
"type": "CustomComponent",
"node": {
@@ -1675,7 +1808,7 @@
"placeholder": "",
"show": true,
"multiline": true,
- "value": "from langflow import CustomComponent\n\nfrom langchain.llms.base import BaseLLM\nfrom langchain.chains import LLMChain\nfrom langchain.prompts import PromptTemplate\nfrom langchain.schema import Document\n\nimport requests\n\nclass YourComponent(CustomComponent):\n display_name: str = \"Custom Component\"\n description: str = \"Create any custom component you want!\"\n\n def build_config(self):\n return { \"url\": { \"multiline\": True, \"required\": True } }\n\n def build(self, url: str, llm: BaseLLM, prompt: PromptTemplate) -> Document:\n response = requests.get(url)\n chain = LLMChain(llm=llm, prompt=prompt)\n result = chain.run(response.text[:300])\n return Document(page_content=str(result))\n",
+ "value": "from langflow.custom import CustomComponent\n\nfrom langchain.llms.base import BaseLLM\nfrom langchain.chains import LLMChain\nfrom langchain.prompts import PromptTemplate\nfrom langchain.schema import Document\n\nimport requests\n\nclass YourComponent(CustomComponent):\n display_name: str = \"Custom Component\"\n description: str = \"Create any custom component you want!\"\n\n def build_config(self):\n return { \"url\": { \"multiline\": True, \"required\": True } }\n\n def build(self, url: str, llm: BaseLLM, prompt: PromptTemplate) -> Document:\n response = requests.get(url)\n chain = LLMChain(llm=llm, prompt=prompt)\n result = chain.run(response.text[:300])\n return Document(page_content=str(result))\n",
"password": false,
"name": "code",
"advanced": false,
@@ -1697,11 +1830,18 @@
},
"id": "CustomComponent-6OJGW"
},
- "positionAbsolute": { "x": 536, "y": 337 }
+ "positionAbsolute": {
+ "x": 536,
+ "y": 337
+ }
}
],
"edges": [],
- "viewport": { "x": 0, "y": 0, "zoom": 1 }
+ "viewport": {
+ "x": 0,
+ "y": 0,
+ "zoom": 1
+ }
},
"id": "65b2a4e0-4084-418a-aa86-ee914acb0ab5",
"user_id": "6f6ebc2c-9e7a-4c35-84fc-51760db10d9b"
@@ -1714,7 +1854,10 @@
{
"id": "CustomComponent-tcE83",
"type": "genericNode",
- "position": { "x": 536, "y": 337 },
+ "position": {
+ "x": 536,
+ "y": 337
+ },
"data": {
"type": "CustomComponent",
"node": {
@@ -1724,7 +1867,7 @@
"placeholder": "",
"show": true,
"multiline": true,
- "value": "from langflow import CustomComponent\n\nfrom langchain.llms.base import BaseLLM\nfrom langchain.chains import LLMChain\nfrom langchain.prompts import PromptTemplate\nfrom langchain.schema import Document\n\nimport requests\n\nclass YourComponent(CustomComponent):\n display_name: str = \"Custom Component\"\n description: str = \"Create any custom component you want!\"\n\n def build_config(self):\n return { \"url\": { \"multiline\": True, \"required\": True } }\n\n def build(self, url: str, llm: BaseLLM, prompt: PromptTemplate) -> Document:\n response = requests.get(url)\n chain = LLMChain(llm=llm, prompt=prompt)\n result = chain.run(response.text[:300])\n return Document(page_content=str(result))\n",
+ "value": "from langflow.custom import CustomComponent\n\nfrom langchain.llms.base import BaseLLM\nfrom langchain.chains import LLMChain\nfrom langchain.prompts import PromptTemplate\nfrom langchain.schema import Document\n\nimport requests\n\nclass YourComponent(CustomComponent):\n display_name: str = \"Custom Component\"\n description: str = \"Create any custom component you want!\"\n\n def build_config(self):\n return { \"url\": { \"multiline\": True, \"required\": True } }\n\n def build(self, url: str, llm: BaseLLM, prompt: PromptTemplate) -> Document:\n response = requests.get(url)\n chain = LLMChain(llm=llm, prompt=prompt)\n result = chain.run(response.text[:300])\n return Document(page_content=str(result))\n",
"password": false,
"name": "code",
"advanced": false,
@@ -1746,11 +1889,18 @@
},
"id": "CustomComponent-tcE83"
},
- "positionAbsolute": { "x": 536, "y": 337 }
+ "positionAbsolute": {
+ "x": 536,
+ "y": 337
+ }
}
],
"edges": [],
- "viewport": { "x": 0, "y": 0, "zoom": 1 }
+ "viewport": {
+ "x": 0,
+ "y": 0,
+ "zoom": 1
+ }
},
"id": "534e412b-d37b-4133-8029-e5ed139fd55c",
"user_id": "6f6ebc2c-9e7a-4c35-84fc-51760db10d9b"
@@ -1765,7 +1915,10 @@
"height": 631,
"id": "ChatOpenAI-mQEi3",
"type": "genericNode",
- "position": { "x": 543.1816229116944, "y": 942.891611351432 },
+ "position": {
+ "x": 543.1816229116944,
+ "y": 942.891611351432
+ },
"data": {
"type": "ChatOpenAI",
"node": {
@@ -1993,7 +2146,10 @@
"height": 387,
"id": "AgentInitializer-EE8R4",
"type": "genericNode",
- "position": { "x": 1036.6064439140812, "y": 645.1919693466587 },
+ "position": {
+ "x": 1036.6064439140812,
+ "y": 645.1919693466587
+ },
"data": {
"type": "AgentInitializer",
"node": {
@@ -2054,7 +2210,10 @@
"_type": "initialize_agent"
},
"description": "Construct a zero shot agent from an LLM and tools.",
- "base_classes": ["AgentExecutor", "function"],
+ "base_classes": [
+ "AgentExecutor",
+ "function"
+ ],
"display_name": "AgentInitializer"
},
"id": "AgentInitializer-EE8R4",
@@ -2071,7 +2230,10 @@
"height": 437,
"id": "PythonFunctionTool-YKkDL",
"type": "genericNode",
- "position": { "x": 553.050119331742, "y": 412.9533535948685 },
+ "position": {
+ "x": 553.050119331742,
+ "y": 412.9533535948685
+ },
"data": {
"type": "PythonFunctionTool",
"node": {
@@ -2115,7 +2277,9 @@
"_type": "PythonFunctionTool"
},
"description": "Python function to be executed.",
- "base_classes": ["Tool"],
+ "base_classes": [
+ "Tool"
+ ],
"display_name": "PythonFunctionTool"
},
"id": "PythonFunctionTool-YKkDL",
@@ -2135,7 +2299,9 @@
"sourceHandle": "{œbaseClassesœ:[œSerializableœ,œBaseChatModelœ,œChatOpenAIœ,œBaseLanguageModelœ],œdataTypeœ:œChatOpenAIœ,œidœ:œChatOpenAI-mQEi3œ}",
"target": "AgentInitializer-EE8R4",
"targetHandle": "{œfieldNameœ:œllmœ,œidœ:œAgentInitializer-EE8R4œ,œinputTypesœ:null,œtypeœ:œBaseLanguageModelœ}",
- "style": { "stroke": "#555" },
+ "style": {
+ "stroke": "#555"
+ },
"className": "stroke-gray-900 stroke-connection",
"animated": false,
"id": "reactflow__edge-ChatOpenAI-mQEi3{œbaseClassesœ:[œSerializableœ,œBaseChatModelœ,œChatOpenAIœ,œBaseLanguageModelœ],œdataTypeœ:œChatOpenAIœ,œidœ:œChatOpenAI-mQEi3œ}-AgentInitializer-EE8R4{œfieldNameœ:œllmœ,œidœ:œAgentInitializer-EE8R4œ,œinputTypesœ:null,œtypeœ:œBaseLanguageModelœ}",
@@ -2164,14 +2330,18 @@
"sourceHandle": "{œbaseClassesœ:[œToolœ],œdataTypeœ:œPythonFunctionToolœ,œidœ:œPythonFunctionTool-YKkDLœ}",
"target": "AgentInitializer-EE8R4",
"targetHandle": "{œfieldNameœ:œtoolsœ,œidœ:œAgentInitializer-EE8R4œ,œinputTypesœ:null,œtypeœ:œToolœ}",
- "style": { "stroke": "#555" },
+ "style": {
+ "stroke": "#555"
+ },
"className": "stroke-gray-900 stroke-connection",
"animated": false,
"id": "reactflow__edge-PythonFunctionTool-YKkDL{œbaseClassesœ:[œToolœ],œdataTypeœ:œPythonFunctionToolœ,œidœ:œPythonFunctionTool-YKkDLœ}-AgentInitializer-EE8R4{œfieldNameœ:œtoolsœ,œidœ:œAgentInitializer-EE8R4œ,œinputTypesœ:null,œtypeœ:œToolœ}",
"selected": false,
"data": {
"sourceHandle": {
- "baseClasses": ["Tool"],
+ "baseClasses": [
+ "Tool"
+ ],
"dataType": "PythonFunctionTool",
"id": "PythonFunctionTool-YKkDL"
},
@@ -2201,7 +2371,10 @@
{
"id": "CustomComponent-T38LS",
"type": "genericNode",
- "position": { "x": 536, "y": 337 },
+ "position": {
+ "x": 536,
+ "y": 337
+ },
"data": {
"type": "CustomComponent",
"node": {
@@ -2211,7 +2384,7 @@
"placeholder": "",
"show": true,
"multiline": true,
- "value": "from langflow import CustomComponent\n\nfrom langchain.llms.base import BaseLLM\nfrom langchain.chains import LLMChain\nfrom langchain.prompts import PromptTemplate\nfrom langchain.schema import Document\n\nimport requests\n\nclass YourComponent(CustomComponent):\n display_name: str = \"Custom Component\"\n description: str = \"Create any custom component you want!\"\n\n def build_config(self):\n return { \"url\": { \"multiline\": True, \"required\": True } }\n\n def build(self, url: str, llm: BaseLLM, prompt: PromptTemplate) -> Document:\n response = requests.get(url)\n chain = LLMChain(llm=llm, prompt=prompt)\n result = chain.run(response.text[:300])\n return Document(page_content=str(result))\n",
+ "value": "from langflow.custom import CustomComponent\n\nfrom langchain.llms.base import BaseLLM\nfrom langchain.chains import LLMChain\nfrom langchain.prompts import PromptTemplate\nfrom langchain.schema import Document\n\nimport requests\n\nclass YourComponent(CustomComponent):\n display_name: str = \"Custom Component\"\n description: str = \"Create any custom component you want!\"\n\n def build_config(self):\n return { \"url\": { \"multiline\": True, \"required\": True } }\n\n def build(self, url: str, llm: BaseLLM, prompt: PromptTemplate) -> Document:\n response = requests.get(url)\n chain = LLMChain(llm=llm, prompt=prompt)\n result = chain.run(response.text[:300])\n return Document(page_content=str(result))\n",
"password": false,
"name": "code",
"advanced": false,
@@ -2233,11 +2406,18 @@
},
"id": "CustomComponent-T38LS"
},
- "positionAbsolute": { "x": 536, "y": 337 }
+ "positionAbsolute": {
+ "x": 536,
+ "y": 337
+ }
}
],
"edges": [],
- "viewport": { "x": 0, "y": 0, "zoom": 1 }
+ "viewport": {
+ "x": 0,
+ "y": 0,
+ "zoom": 1
+ }
},
"id": "ec36a3b7-7b5f-4663-983c-833bcec4d851",
"user_id": "6f6ebc2c-9e7a-4c35-84fc-51760db10d9b"
@@ -2252,7 +2432,10 @@
"height": 631,
"id": "ChatOpenAI-E1XSb",
"type": "genericNode",
- "position": { "x": 543.1816229116944, "y": 942.891611351432 },
+ "position": {
+ "x": 543.1816229116944,
+ "y": 942.891611351432
+ },
"data": {
"type": "ChatOpenAI",
"node": {
@@ -2480,7 +2663,10 @@
"height": 387,
"id": "AgentInitializer-goPm2",
"type": "genericNode",
- "position": { "x": 1036.6064439140812, "y": 645.1919693466587 },
+ "position": {
+ "x": 1036.6064439140812,
+ "y": 645.1919693466587
+ },
"data": {
"type": "AgentInitializer",
"node": {
@@ -2541,7 +2727,10 @@
"_type": "initialize_agent"
},
"description": "Construct a zero shot agent from an LLM and tools.",
- "base_classes": ["AgentExecutor", "function"],
+ "base_classes": [
+ "AgentExecutor",
+ "function"
+ ],
"display_name": "AgentInitializer"
},
"id": "AgentInitializer-goPm2",
@@ -2558,7 +2747,10 @@
"height": 437,
"id": "PythonFunctionTool-SQikY",
"type": "genericNode",
- "position": { "x": 553.050119331742, "y": 412.9533535948685 },
+ "position": {
+ "x": 553.050119331742,
+ "y": 412.9533535948685
+ },
"data": {
"type": "PythonFunctionTool",
"node": {
@@ -2602,7 +2794,9 @@
"_type": "PythonFunctionTool"
},
"description": "Python function to be executed.",
- "base_classes": ["Tool"],
+ "base_classes": [
+ "Tool"
+ ],
"display_name": "PythonFunctionTool"
},
"id": "PythonFunctionTool-SQikY",
@@ -2622,7 +2816,9 @@
"sourceHandle": "{œbaseClassesœ:[œSerializableœ,œBaseChatModelœ,œChatOpenAIœ,œBaseLanguageModelœ],œdataTypeœ:œChatOpenAIœ,œidœ:œChatOpenAI-E1XSbœ}",
"target": "AgentInitializer-goPm2",
"targetHandle": "{œfieldNameœ:œllmœ,œidœ:œAgentInitializer-goPm2œ,œinputTypesœ:null,œtypeœ:œBaseLanguageModelœ}",
- "style": { "stroke": "#555" },
+ "style": {
+ "stroke": "#555"
+ },
"className": "stroke-gray-900 stroke-connection",
"animated": false,
"id": "reactflow__edge-ChatOpenAI-E1XSb{œbaseClassesœ:[œSerializableœ,œBaseChatModelœ,œChatOpenAIœ,œBaseLanguageModelœ],œdataTypeœ:œChatOpenAIœ,œidœ:œChatOpenAI-E1XSbœ}-AgentInitializer-goPm2{œfieldNameœ:œllmœ,œidœ:œAgentInitializer-goPm2œ,œinputTypesœ:null,œtypeœ:œBaseLanguageModelœ}",
@@ -2651,14 +2847,18 @@
"sourceHandle": "{œbaseClassesœ:[œToolœ],œdataTypeœ:œPythonFunctionToolœ,œidœ:œPythonFunctionTool-SQikYœ}",
"target": "AgentInitializer-goPm2",
"targetHandle": "{œfieldNameœ:œtoolsœ,œidœ:œAgentInitializer-goPm2œ,œinputTypesœ:null,œtypeœ:œToolœ}",
- "style": { "stroke": "#555" },
+ "style": {
+ "stroke": "#555"
+ },
"className": "stroke-gray-900 stroke-connection",
"animated": false,
"id": "reactflow__edge-PythonFunctionTool-SQikY{œbaseClassesœ:[œToolœ],œdataTypeœ:œPythonFunctionToolœ,œidœ:œPythonFunctionTool-SQikYœ}-AgentInitializer-goPm2{œfieldNameœ:œtoolsœ,œidœ:œAgentInitializer-goPm2œ,œinputTypesœ:null,œtypeœ:œToolœ}",
"selected": false,
"data": {
"sourceHandle": {
- "baseClasses": ["Tool"],
+ "baseClasses": [
+ "Tool"
+ ],
"dataType": "PythonFunctionTool",
"id": "PythonFunctionTool-SQikY"
},
@@ -2681,4 +2881,4 @@
"user_id": "6f6ebc2c-9e7a-4c35-84fc-51760db10d9b"
}
]
-}
+}
\ No newline at end of file
diff --git a/src/frontend/tests/end-to-end/assets/flow_group_test.json b/src/frontend/tests/end-to-end/assets/flow_group_test.json
index 9df38cfb3..efd5478b3 100644
--- a/src/frontend/tests/end-to-end/assets/flow_group_test.json
+++ b/src/frontend/tests/end-to-end/assets/flow_group_test.json
@@ -5,7 +5,10 @@
{
"id": "PythonFunctionTool-RfJui",
"type": "genericNode",
- "position": { "x": 117.54690105175428, "y": -84.2465475108354 },
+ "position": {
+ "x": 117.54690105175428,
+ "y": -84.2465475108354
+ },
"data": {
"type": "PythonFunctionTool",
"node": {
@@ -43,7 +46,9 @@
"dynamic": false,
"info": "",
"title_case": false,
- "input_types": ["Text"]
+ "input_types": [
+ "Text"
+ ]
},
"name": {
"type": "str",
@@ -61,7 +66,9 @@
"dynamic": false,
"info": "",
"title_case": false,
- "input_types": ["Text"]
+ "input_types": [
+ "Text"
+ ]
},
"return_direct": {
"type": "bool",
@@ -83,7 +90,10 @@
"_type": "PythonFunctionTool"
},
"description": "Python function to be executed.",
- "base_classes": ["BaseTool", "Tool"],
+ "base_classes": [
+ "BaseTool",
+ "Tool"
+ ],
"display_name": "PythonFunctionTool",
"documentation": "",
"custom_fields": {},
@@ -97,13 +107,19 @@
"selected": true,
"width": 384,
"height": 466,
- "positionAbsolute": { "x": 117.54690105175428, "y": -84.2465475108354 },
+ "positionAbsolute": {
+ "x": 117.54690105175428,
+ "y": -84.2465475108354
+ },
"dragging": false
},
{
"id": "AgentInitializer-tPdJw",
"type": "genericNode",
- "position": { "x": 677.68677055088, "y": 127.19859565276168 },
+ "position": {
+ "x": 677.68677055088,
+ "y": 127.19859565276168
+ },
"data": {
"type": "AgentInitializer",
"node": {
@@ -192,7 +208,9 @@
"dynamic": false,
"info": "",
"title_case": false,
- "input_types": ["Text"]
+ "input_types": [
+ "Text"
+ ]
},
"code": {
"type": "code",
@@ -201,7 +219,7 @@
"list": false,
"show": true,
"multiline": true,
- "value": "from typing import Callable, List, Optional, Union\n\nfrom langchain.agents import AgentExecutor, AgentType, initialize_agent, types\nfrom langflow import CustomComponent\nfrom langflow.field_typing import BaseChatMemory, BaseLanguageModel, Tool\n\n\nclass AgentInitializerComponent(CustomComponent):\n display_name: str = \"Agent Initializer\"\n description: str = \"Initialize a Langchain Agent.\"\n documentation: str = \"https://python.langchain.com/docs/modules/agents/agent_types/\"\n\n def build_config(self):\n agents = list(types.AGENT_TO_CLASS.keys())\n # field_type and required are optional\n return {\n \"agent\": {\"options\": agents, \"value\": agents[0], \"display_name\": \"Agent Type\"},\n \"max_iterations\": {\"display_name\": \"Max Iterations\", \"value\": 10},\n \"memory\": {\"display_name\": \"Memory\"},\n \"tools\": {\"display_name\": \"Tools\"},\n \"llm\": {\"display_name\": \"Language Model\"},\n \"code\": {\"advanced\": True},\n }\n\n def build(\n self,\n agent: str,\n llm: BaseLanguageModel,\n tools: List[Tool],\n max_iterations: int,\n memory: Optional[BaseChatMemory] = None,\n ) -> Union[AgentExecutor, Callable]:\n agent = AgentType(agent)\n if memory:\n return initialize_agent(\n tools=tools,\n llm=llm,\n agent=agent,\n memory=memory,\n return_intermediate_steps=True,\n handle_parsing_errors=True,\n max_iterations=max_iterations,\n )\n return initialize_agent(\n tools=tools,\n llm=llm,\n agent=agent,\n return_intermediate_steps=True,\n handle_parsing_errors=True,\n max_iterations=max_iterations,\n )\n",
+ "value": "from typing import Callable, List, Optional, Union\n\nfrom langchain.agents import AgentExecutor, AgentType, initialize_agent, types\nfrom langflow.custom import CustomComponent\nfrom langflow.field_typing import BaseChatMemory, BaseLanguageModel, Tool\n\n\nclass AgentInitializerComponent(CustomComponent):\n display_name: str = \"Agent Initializer\"\n description: str = \"Initialize a Langchain Agent.\"\n documentation: str = \"https://python.langchain.com/docs/modules/agents/agent_types/\"\n\n def build_config(self):\n agents = list(types.AGENT_TO_CLASS.keys())\n # field_type and required are optional\n return {\n \"agent\": {\"options\": agents, \"value\": agents[0], \"display_name\": \"Agent Type\"},\n \"max_iterations\": {\"display_name\": \"Max Iterations\", \"value\": 10},\n \"memory\": {\"display_name\": \"Memory\"},\n \"tools\": {\"display_name\": \"Tools\"},\n \"llm\": {\"display_name\": \"Language Model\"},\n \"code\": {\"advanced\": True},\n }\n\n def build(\n self,\n agent: str,\n llm: BaseLanguageModel,\n tools: List[Tool],\n max_iterations: int,\n memory: Optional[BaseChatMemory] = None,\n ) -> Union[AgentExecutor, Callable]:\n agent = AgentType(agent)\n if memory:\n return initialize_agent(\n tools=tools,\n llm=llm,\n agent=agent,\n memory=memory,\n return_intermediate_steps=True,\n handle_parsing_errors=True,\n max_iterations=max_iterations,\n )\n return initialize_agent(\n tools=tools,\n llm=llm,\n agent=agent,\n return_intermediate_steps=True,\n handle_parsing_errors=True,\n max_iterations=max_iterations,\n )\n",
"fileTypes": [],
"file_path": "",
"password": false,
@@ -251,7 +269,10 @@
"max_iterations": null,
"memory": null
},
- "output_types": ["AgentExecutor", "Callable"],
+ "output_types": [
+ "AgentExecutor",
+ "Callable"
+ ],
"field_formatters": {},
"pinned": false,
"beta": true
@@ -265,7 +286,10 @@
{
"id": "ChatOpenAISpecs-stxRM",
"type": "genericNode",
- "position": { "x": 18.226716205350385, "y": 432.6122491402193 },
+ "position": {
+ "x": 18.226716205350385,
+ "y": 432.6122491402193
+ },
"data": {
"type": "ChatOpenAISpecs",
"node": {
@@ -277,7 +301,7 @@
"list": false,
"show": true,
"multiline": true,
- "value": "from typing import Optional, Union\n\nfrom langchain.llms import BaseLLM\nfrom langchain_community.chat_models.openai import ChatOpenAI\nfrom langflow import CustomComponent\nfrom langflow.field_typing import BaseLanguageModel, NestedDict\n\n\nclass ChatOpenAIComponent(CustomComponent):\n display_name = \"ChatOpenAI\"\n description = \"`OpenAI` Chat large language models API.\"\n icon = \"OpenAI\"\n\n def build_config(self):\n return {\n \"max_tokens\": {\n \"display_name\": \"Max Tokens\",\n \"advanced\": False,\n \"required\": False,\n },\n \"model_kwargs\": {\n \"display_name\": \"Model Kwargs\",\n \"advanced\": True,\n \"required\": False,\n },\n \"model_name\": {\n \"display_name\": \"Model Name\",\n \"advanced\": False,\n \"required\": False,\n \"options\": [\n \"gpt-4-turbo-preview\",\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 },\n \"openai_api_base\": {\n \"display_name\": \"OpenAI API Base\",\n \"advanced\": False,\n \"required\": False,\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 \"advanced\": False,\n \"required\": False,\n \"password\": True,\n },\n \"temperature\": {\n \"display_name\": \"Temperature\",\n \"advanced\": False,\n \"required\": False,\n \"value\": 0.7,\n },\n }\n\n def build(\n self,\n max_tokens: Optional[int] = 256,\n model_kwargs: NestedDict = {},\n model_name: str = \"gpt-4-1106-preview\",\n openai_api_base: Optional[str] = None,\n openai_api_key: Optional[str] = None,\n temperature: float = 0.7,\n ) -> Union[BaseLanguageModel, BaseLLM]:\n if not openai_api_base:\n openai_api_base = \"https://api.openai.com/v1\"\n return 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",
+ "value": "from typing import Optional, Union\n\nfrom langchain.llms import BaseLLM\nfrom langchain_community.chat_models.openai import ChatOpenAI\nfrom langflow.custom import CustomComponent\nfrom langflow.field_typing import BaseLanguageModel, NestedDict\n\n\nclass ChatOpenAIComponent(CustomComponent):\n display_name = \"ChatOpenAI\"\n description = \"`OpenAI` Chat large language models API.\"\n icon = \"OpenAI\"\n\n def build_config(self):\n return {\n \"max_tokens\": {\n \"display_name\": \"Max Tokens\",\n \"advanced\": False,\n \"required\": False,\n },\n \"model_kwargs\": {\n \"display_name\": \"Model Kwargs\",\n \"advanced\": True,\n \"required\": False,\n },\n \"model_name\": {\n \"display_name\": \"Model Name\",\n \"advanced\": False,\n \"required\": False,\n \"options\": [\n \"gpt-4-turbo-preview\",\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 },\n \"openai_api_base\": {\n \"display_name\": \"OpenAI API Base\",\n \"advanced\": False,\n \"required\": False,\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 \"advanced\": False,\n \"required\": False,\n \"password\": True,\n },\n \"temperature\": {\n \"display_name\": \"Temperature\",\n \"advanced\": False,\n \"required\": False,\n \"value\": 0.7,\n },\n }\n\n def build(\n self,\n max_tokens: Optional[int] = 256,\n model_kwargs: NestedDict = {},\n model_name: str = \"gpt-4-1106-preview\",\n openai_api_base: Optional[str] = None,\n openai_api_key: Optional[str] = None,\n temperature: float = 0.7,\n ) -> Union[BaseLanguageModel, BaseLLM]:\n if not openai_api_base:\n openai_api_base = \"https://api.openai.com/v1\"\n return 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",
"fileTypes": [],
"file_path": "",
"password": false,
@@ -348,7 +372,9 @@
"dynamic": false,
"info": "",
"title_case": false,
- "input_types": ["Text"]
+ "input_types": [
+ "Text"
+ ]
},
"openai_api_base": {
"type": "str",
@@ -366,7 +392,9 @@
"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.",
"title_case": false,
- "input_types": ["Text"]
+ "input_types": [
+ "Text"
+ ]
},
"openai_api_key": {
"type": "str",
@@ -384,7 +412,9 @@
"dynamic": false,
"info": "",
"title_case": false,
- "input_types": ["Text"]
+ "input_types": [
+ "Text"
+ ]
},
"temperature": {
"type": "float",
@@ -402,7 +432,11 @@
"advanced": false,
"dynamic": false,
"info": "",
- "rangeSpec": { "min": -1, "max": 1, "step": 0.1 },
+ "rangeSpec": {
+ "min": -1,
+ "max": 1,
+ "step": 0.1
+ },
"title_case": false
},
"_type": "CustomComponent"
@@ -428,7 +462,10 @@
"openai_api_key": null,
"temperature": null
},
- "output_types": ["BaseLanguageModel", "BaseLLM"],
+ "output_types": [
+ "BaseLanguageModel",
+ "BaseLLM"
+ ],
"field_formatters": {},
"pinned": false,
"beta": true
@@ -438,7 +475,10 @@
"selected": false,
"width": 384,
"height": 666,
- "positionAbsolute": { "x": 18.226716205350385, "y": 432.6122491402193 },
+ "positionAbsolute": {
+ "x": 18.226716205350385,
+ "y": 432.6122491402193
+ },
"dragging": false
}
],
@@ -469,7 +509,9 @@
"id": "ChatOpenAISpecs-stxRM"
}
},
- "style": { "stroke": "#555" },
+ "style": {
+ "stroke": "#555"
+ },
"className": "stroke-foreground stroke-connection",
"id": "reactflow__edge-ChatOpenAISpecs-stxRM{œbaseClassesœ:[œRunnableœ,œBaseLLMœ,œSerializableœ,œBaseLanguageModelœ,œobjectœ,œGenericœ,œRunnableSerializableœ],œdataTypeœ:œChatOpenAISpecsœ,œidœ:œChatOpenAISpecs-stxRMœ}-AgentInitializer-tPdJw{œfieldNameœ:œllmœ,œidœ:œAgentInitializer-tPdJwœ,œinputTypesœ:null,œtypeœ:œBaseLanguageModelœ}"
},
@@ -486,12 +528,17 @@
"type": "Tool"
},
"sourceHandle": {
- "baseClasses": ["BaseTool", "Tool"],
+ "baseClasses": [
+ "BaseTool",
+ "Tool"
+ ],
"dataType": "PythonFunctionTool",
"id": "PythonFunctionTool-RfJui"
}
},
- "style": { "stroke": "#555" },
+ "style": {
+ "stroke": "#555"
+ },
"className": "stroke-foreground stroke-connection",
"id": "reactflow__edge-PythonFunctionTool-RfJui{œbaseClassesœ:[œBaseToolœ,œToolœ],œdataTypeœ:œPythonFunctionToolœ,œidœ:œPythonFunctionTool-RfJuiœ}-AgentInitializer-tPdJw{œfieldNameœ:œtoolsœ,œidœ:œAgentInitializer-tPdJwœ,œinputTypesœ:null,œtypeœ:œToolœ}"
}
@@ -506,4 +553,4 @@
"name": "Untitled document (20)",
"last_tested_version": "0.7.0a0",
"is_component": false
-}
+}
\ No newline at end of file
diff --git a/src/frontend/tests/end-to-end/assets/flowtest.json b/src/frontend/tests/end-to-end/assets/flowtest.json
index 8b83ee270..6ef790455 100644
--- a/src/frontend/tests/end-to-end/assets/flowtest.json
+++ b/src/frontend/tests/end-to-end/assets/flowtest.json
@@ -8,7 +8,10 @@
"height": 461,
"id": "CustomComponent-MtJjl",
"type": "genericNode",
- "position": { "x": 534.3712097224906, "y": -135.01908566635723 },
+ "position": {
+ "x": 534.3712097224906,
+ "y": -135.01908566635723
+ },
"data": {
"type": "CustomComponent",
"node": {
@@ -20,7 +23,7 @@
"list": false,
"show": true,
"multiline": true,
- "value": "from langflow import CustomComponent\nfrom langflow.field_typing import Data\nfrom pathlib import Path\nfrom platformdirs import user_cache_dir\nimport os\n\nclass Component(CustomComponent):\n documentation: str = \"http://docs.langflow.org/components/custom\"\n\n def build_config(self):\n return {\"text_input\":{\"display_name\":\"Text Input\", \"input_types\":[\"str\"]},\"save_path\":{\"display_name\":\"Save Path\",\n \"info\":\"Put the full path with the file name and extension\",\"value\":Path(user_cache_dir(\"langflow\"))/\"text.t1.txt\"}}\n\n def build(self, text_input:str,save_path:str) -> str:\n try:\n # Create the directory if it doesn't exist\n os.makedirs(os.path.dirname(save_path), exist_ok=True)\n\n # Open the file in write mode and save the text\n with open(save_path, 'w') as file:\n file.write(text_input)\n except Exception as e:\n raise e\n self.status = text_input\n return text_input",
+ "value": "from langflow.custom import CustomComponent\nfrom langflow.field_typing import Data\nfrom pathlib import Path\nfrom platformdirs import user_cache_dir\nimport os\n\nclass Component(CustomComponent):\n documentation: str = \"http://docs.langflow.org/components/custom\"\n\n def build_config(self):\n return {\"text_input\":{\"display_name\":\"Text Input\", \"input_types\":[\"str\"]},\"save_path\":{\"display_name\":\"Save Path\",\n \"info\":\"Put the full path with the file name and extension\",\"value\":Path(user_cache_dir(\"langflow\"))/\"text.t1.txt\"}}\n\n def build(self, text_input:str,save_path:str) -> str:\n try:\n # Create the directory if it doesn't exist\n os.makedirs(os.path.dirname(save_path), exist_ok=True)\n\n # Open the file in write mode and save the text\n with open(save_path, 'w') as file:\n file.write(text_input)\n except Exception as e:\n raise e\n self.status = text_input\n return text_input",
"fileTypes": [],
"file_path": "",
"password": false,
@@ -59,18 +62,27 @@
"name": "text_input",
"display_name": "Text Input",
"advanced": false,
- "input_types": ["str"],
+ "input_types": [
+ "str"
+ ],
"dynamic": false,
"info": "",
"value": ""
},
"_type": "CustomComponent"
},
- "base_classes": ["str"],
+ "base_classes": [
+ "str"
+ ],
"display_name": "text checkpoint",
"documentation": "http://docs.langflow.org/components/custom",
- "custom_fields": { "save_path": null, "text_input": null },
- "output_types": ["str"],
+ "custom_fields": {
+ "save_path": null,
+ "text_input": null
+ },
+ "output_types": [
+ "str"
+ ],
"field_formatters": {},
"beta": true
},
@@ -78,14 +90,20 @@
},
"selected": false,
"dragging": false,
- "positionAbsolute": { "x": 534.3712097224906, "y": -135.01908566635723 }
+ "positionAbsolute": {
+ "x": 534.3712097224906,
+ "y": -135.01908566635723
+ }
},
{
"width": 384,
"height": 453,
"id": "CustomComponent-7NQoq",
"type": "genericNode",
- "position": { "x": 27.487979888011637, "y": -414.43998171034826 },
+ "position": {
+ "x": 27.487979888011637,
+ "y": -414.43998171034826
+ },
"data": {
"type": "CustomComponent",
"node": {
@@ -131,7 +149,7 @@
"list": false,
"show": true,
"multiline": true,
- "value": "from langflow import CustomComponent\nfrom typing import Optional, List, Dict, Union\nfrom langflow.field_typing import (\n AgentExecutor,\n BaseChatMemory,\n BaseLanguageModel,\n BaseLLM,\n BaseLoader,\n BaseMemory,\n BaseOutputParser,\n BasePromptTemplate,\n BaseRetriever,\n Callable,\n Chain,\n ChatPromptTemplate,\n Data,\n Document,\n Embeddings,\n NestedDict,\n Object,\n PromptTemplate,\n TextSplitter,\n Tool,\n VectorStore,\n)\n\nfrom openai import OpenAI\nimport os\nimport ffmpeg\n\nclass Component(CustomComponent):\n display_name: str = \"Whisper Transcriber\"\n description: str = \"Converts audio to text using OpenAI's Whisper.\"\n\n def build_config(self):\n return {\"audio\": {\"field_type\": \"file\", \"suffixes\": [\".mp3\", \".mp4\", \".m4a\"]}, \"OpenAIKey\": {\"field_type\": \"str\", \"password\": True}}\n\n def calculate_segment_duration(self, audio_path, target_chunk_size_mb=24):\n # Calculate the target chunk size in bytes\n target_chunk_size_bytes = target_chunk_size_mb * 1024 * 1024\n\n # Use ffprobe to get the audio file information\n ffprobe_output = ffmpeg.probe(audio_path)\n print(ffprobe_output)\n # Convert duration to float\n duration = float(ffprobe_output[\"format\"][\"duration\"])\n\n # Calculate the approximate bitrate\n bitrate = os.path.getsize(audio_path) / duration\n\n # Calculate the segment duration to achieve the target chunk size\n segment_duration = target_chunk_size_bytes / bitrate\n\n return segment_duration\n\n def split_audio_into_chunks(self, audio_path, target_chunk_size_mb=24):\n # Calculate the segment duration\n segment_duration = self.calculate_segment_duration(audio_path, target_chunk_size_mb)\n\n # Create a directory to store the chunks\n output_directory = f\"{os.path.splitext(audio_path)[0]}_chunks\"\n os.makedirs(output_directory, exist_ok=True)\n\n # Use ffmpeg-python to split the audio file into chunks\n (\n ffmpeg.input(audio_path)\n .output(f\"{output_directory}/%03d{os.path.splitext(audio_path)[1]}\", codec=\"copy\", f=\"segment\", segment_time=segment_duration)\n .run()\n )\n\n # Get the list of generated chunk files\n chunks = [os.path.join(output_directory, file) for file in os.listdir(output_directory)]\n\n return chunks\n\n def build(self, audio: str, OpenAIKey: str) -> str:\n # Split audio into chunks\n audio_chunks = self.split_audio_into_chunks(audio)\n\n client = OpenAI(api_key=OpenAIKey)\n transcripts = []\n\n try:\n for chunk in audio_chunks:\n with open(chunk, \"rb\") as chunk_file:\n transcript = client.audio.transcriptions.create(\n model=\"whisper-1\",\n file=chunk_file,\n response_format=\"text\"\n )\n transcripts.append(transcript)\n finally:\n # Clean up temporary chunk files\n for chunk in audio_chunks:\n os.remove(chunk)\n\n # Concatenate transcripts into the final response\n final_response = \"\\n\".join(transcripts)\n self.status = final_response\n return final_response\n",
+ "value": "from langflow.custom import CustomComponent\nfrom typing import Optional, List, Dict, Union\nfrom langflow.field_typing import (\n AgentExecutor,\n BaseChatMemory,\n BaseLanguageModel,\n BaseLLM,\n BaseLoader,\n BaseMemory,\n BaseOutputParser,\n BasePromptTemplate,\n BaseRetriever,\n Callable,\n Chain,\n ChatPromptTemplate,\n Data,\n Document,\n Embeddings,\n NestedDict,\n Object,\n PromptTemplate,\n TextSplitter,\n Tool,\n VectorStore,\n)\n\nfrom openai import OpenAI\nimport os\nimport ffmpeg\n\nclass Component(CustomComponent):\n display_name: str = \"Whisper Transcriber\"\n description: str = \"Converts audio to text using OpenAI's Whisper.\"\n\n def build_config(self):\n return {\"audio\": {\"field_type\": \"file\", \"suffixes\": [\".mp3\", \".mp4\", \".m4a\"]}, \"OpenAIKey\": {\"field_type\": \"str\", \"password\": True}}\n\n def calculate_segment_duration(self, audio_path, target_chunk_size_mb=24):\n # Calculate the target chunk size in bytes\n target_chunk_size_bytes = target_chunk_size_mb * 1024 * 1024\n\n # Use ffprobe to get the audio file information\n ffprobe_output = ffmpeg.probe(audio_path)\n print(ffprobe_output)\n # Convert duration to float\n duration = float(ffprobe_output[\"format\"][\"duration\"])\n\n # Calculate the approximate bitrate\n bitrate = os.path.getsize(audio_path) / duration\n\n # Calculate the segment duration to achieve the target chunk size\n segment_duration = target_chunk_size_bytes / bitrate\n\n return segment_duration\n\n def split_audio_into_chunks(self, audio_path, target_chunk_size_mb=24):\n # Calculate the segment duration\n segment_duration = self.calculate_segment_duration(audio_path, target_chunk_size_mb)\n\n # Create a directory to store the chunks\n output_directory = f\"{os.path.splitext(audio_path)[0]}_chunks\"\n os.makedirs(output_directory, exist_ok=True)\n\n # Use ffmpeg-python to split the audio file into chunks\n (\n ffmpeg.input(audio_path)\n .output(f\"{output_directory}/%03d{os.path.splitext(audio_path)[1]}\", codec=\"copy\", f=\"segment\", segment_time=segment_duration)\n .run()\n )\n\n # Get the list of generated chunk files\n chunks = [os.path.join(output_directory, file) for file in os.listdir(output_directory)]\n\n return chunks\n\n def build(self, audio: str, OpenAIKey: str) -> str:\n # Split audio into chunks\n audio_chunks = self.split_audio_into_chunks(audio)\n\n client = OpenAI(api_key=OpenAIKey)\n transcripts = []\n\n try:\n for chunk in audio_chunks:\n with open(chunk, \"rb\") as chunk_file:\n transcript = client.audio.transcriptions.create(\n model=\"whisper-1\",\n file=chunk_file,\n response_format=\"text\"\n )\n transcripts.append(transcript)\n finally:\n # Clean up temporary chunk files\n for chunk in audio_chunks:\n os.remove(chunk)\n\n # Concatenate transcripts into the final response\n final_response = \"\\n\".join(transcripts)\n self.status = final_response\n return final_response\n",
"fileTypes": [],
"file_path": "",
"password": false,
@@ -143,11 +161,18 @@
"_type": "CustomComponent"
},
"description": "Converts audio to text using OpenAI's Whisper.",
- "base_classes": ["str"],
+ "base_classes": [
+ "str"
+ ],
"display_name": "Whisper Transcriber",
"documentation": "",
- "custom_fields": { "OpenAIKey": null, "audio": null },
- "output_types": ["str"],
+ "custom_fields": {
+ "OpenAIKey": null,
+ "audio": null
+ },
+ "output_types": [
+ "str"
+ ],
"field_formatters": {},
"beta": true
},
@@ -171,26 +196,36 @@
"targetHandle": {
"fieldName": "text_input",
"id": "CustomComponent-MtJjl",
- "inputTypes": ["str"],
+ "inputTypes": [
+ "str"
+ ],
"type": "str"
},
"sourceHandle": {
- "baseClasses": ["str"],
+ "baseClasses": [
+ "str"
+ ],
"dataType": "CustomComponent",
"id": "CustomComponent-7NQoq"
}
},
- "style": { "stroke": "#555" },
+ "style": {
+ "stroke": "#555"
+ },
"className": "stroke-gray-900 stroke-connection",
"animated": false,
"id": "reactflow__edge-CustomComponent-7NQoq{œbaseClassesœ:[œstrœ],œdataTypeœ:œCustomComponentœ,œidœ:œCustomComponent-7NQoqœ}-CustomComponent-MtJjl{œfieldNameœ:œtext_inputœ,œidœ:œCustomComponent-MtJjlœ,œinputTypesœ:[œstrœ],œtypeœ:œstrœ}"
}
],
- "viewport": { "x": 119.37759169012509, "y": 351.3082742479685, "zoom": 1 }
+ "viewport": {
+ "x": 119.37759169012509,
+ "y": 351.3082742479685,
+ "zoom": 1
+ }
},
"is_component": false,
"updated_at": "2023-12-13T23:51:56.874099",
"folder": null,
"id": "1b0814b7-2964-4e09-9b4b-f7413c4fb50b",
"user_id": "8b5cf798-f1b8-4108-88fd-d7274d08d471"
-}
+}
\ No newline at end of file
diff --git a/src/frontend/tests/end-to-end/dropdownComponent.spec.ts b/src/frontend/tests/end-to-end/dropdownComponent.spec.ts
index 31afd7614..52f8da0a1 100644
--- a/src/frontend/tests/end-to-end/dropdownComponent.spec.ts
+++ b/src/frontend/tests/end-to-end/dropdownComponent.spec.ts
@@ -195,4 +195,66 @@ test("dropDownComponent", async ({ page }) => {
if (value !== "ai21.j2-ultra-v1") {
expect(false).toBeTruthy();
}
-});
+ await page.getByTestId("code-button-modal").click();
+ await page
+ .locator("#CodeEditor div")
+ .filter({ hasText: "from typing import" })
+ .nth(1)
+ .click();
+ await page.locator("textarea").press("Control+a");
+ const emptyOptionsCode = `from typing import Optional
+from langchain.llms.base import BaseLLM
+from langchain_community.llms.bedrock import Bedrock
+
+from langflow.interface.custom.custom_component import CustomComponent
+
+
+class AmazonBedrockComponent(CustomComponent):
+ display_name: str = "Amazon Bedrock"
+ description: str = "LLM model from Amazon Bedrock."
+ icon = "Amazon"
+
+ def build_config(self):
+ return {
+ "model_id": {
+ "display_name": "Model Id",
+ "options": [],
+ },
+ "credentials_profile_name": {"display_name": "Credentials Profile Name"},
+ "streaming": {"display_name": "Streaming", "field_type": "bool"},
+ "endpoint_url": {"display_name": "Endpoint URL"},
+ "region_name": {"display_name": "Region Name"},
+ "model_kwargs": {"display_name": "Model Kwargs"},
+ "cache": {"display_name": "Cache"},
+ "code": {"advanced": True},
+ }
+
+ def build(
+ self,
+ model_id: str = "anthropic.claude-instant-v1",
+ credentials_profile_name: Optional[str] = None,
+ region_name: Optional[str] = None,
+ model_kwargs: Optional[dict] = None,
+ endpoint_url: Optional[str] = None,
+ streaming: bool = False,
+ cache: Optional[bool] = None,
+ ) -> BaseLLM:
+ try:
+ output = Bedrock(
+ credentials_profile_name=credentials_profile_name,
+ model_id=model_id,
+ region_name=region_name,
+ model_kwargs=model_kwargs,
+ endpoint_url=endpoint_url,
+ streaming=streaming,
+ cache=cache,
+ ) # type: ignore
+ except Exception as e:
+ raise ValueError("Could not connect to AmazonBedrock API.") from e
+ return output
+
+ `;
+ await page.locator("textarea").fill(emptyOptionsCode);
+ await page.getByRole('button', { name: 'Check & Save' }).click();
+ await page.getByText("No parameters are available for display.").isVisible();
+})
diff --git a/src/frontend/tests/end-to-end/inputComponent.spec.ts b/src/frontend/tests/end-to-end/inputComponent.spec.ts
index a5aea8fa2..002a0e0cb 100644
--- a/src/frontend/tests/end-to-end/inputComponent.spec.ts
+++ b/src/frontend/tests/end-to-end/inputComponent.spec.ts
@@ -120,7 +120,7 @@ test("InputComponent", async ({ page }) => {
await page.getByTestId("input-collection_name-edit").click();
await page
.getByTestId("input-collection_name-edit")
- .fill("NEW_collection_name_test_123123123!@#$&*(&%$@");
+ .fill("NEW_collection_name_test_123123123!@#$&*(&%$@ÇÇÇÀõe");
await page.locator('//*[@id="saveChangesBtn"]').click();
@@ -143,7 +143,7 @@ test("InputComponent", async ({ page }) => {
let value = await page.getByTestId("input-collection_name").inputValue();
- if (value != "NEW_collection_name_test_123123123!@#$&*(&%$@") {
+ if (value != "NEW_collection_name_test_123123123!@#$&*(&%$@ÇÇÇÀõe") {
expect(false).toBeTruthy();
}
}
diff --git a/tests/conftest.py b/tests/conftest.py
index 7708340c9..83c7d031d 100644
--- a/tests/conftest.py
+++ b/tests/conftest.py
@@ -10,10 +10,6 @@ import orjson
import pytest
from fastapi.testclient import TestClient
from httpx import AsyncClient
-from sqlmodel import Session, SQLModel, create_engine, select
-from sqlmodel.pool import StaticPool
-from typer.testing import CliRunner
-
from langflow.graph.graph.base import Graph
from langflow.initial_setup.setup import STARTER_FOLDER_NAME
from langflow.services.auth.utils import get_password_hash
@@ -22,6 +18,9 @@ from langflow.services.database.models.flow.model import Flow, FlowCreate
from langflow.services.database.models.user.model import User, UserCreate
from langflow.services.database.utils import session_getter
from langflow.services.deps import get_db_service
+from sqlmodel import Session, SQLModel, create_engine, select
+from sqlmodel.pool import StaticPool
+from typer.testing import CliRunner
if TYPE_CHECKING:
from langflow.services.database.service import DatabaseService
@@ -263,7 +262,7 @@ def active_user(client):
is_superuser=False,
)
# check if user exists
- if active_user := session.query(User).filter(User.username == user.username).first():
+ if active_user := session.exec(select(User).where(User.username == user.username)).first():
return active_user
session.add(user)
session.commit()
@@ -368,7 +367,7 @@ def created_api_key(active_user):
)
db_manager = get_db_service()
with session_getter(db_manager) as session:
- if existing_api_key := session.query(ApiKey).filter(ApiKey.api_key == api_key.api_key).first():
+ if existing_api_key := session.exec(select(ApiKey).where(ApiKey.api_key == api_key.api_key)).first():
return existing_api_key
session.add(api_key)
session.commit()
diff --git a/tests/data/ChatInputTest.json b/tests/data/ChatInputTest.json
index 24771bab9..3c516067e 100644
--- a/tests/data/ChatInputTest.json
+++ b/tests/data/ChatInputTest.json
@@ -1 +1,918 @@
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diff --git a/tests/data/TwoOutputsTest.json b/tests/data/TwoOutputsTest.json
index 9dfb5cd43..4cd060249 100644
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+ "LLMChain",
+ "Chain",
+ "function",
+ "Text"
+ ],
+ "display_name": "LLMChain",
+ "custom_fields": {},
+ "output_types": [],
+ "documentation": "https://python.langchain.com/docs/modules/chains/foundational/llm_chain",
+ "beta": false,
+ "error": null
+ },
+ "id": "LLMChain-HUM6g"
+ },
+ "selected": false,
+ "positionAbsolute": {
+ "x": 1515.3241458756393,
+ "y": 732.4536491407735
+ },
+ "dragging": false
+ },
+ {
+ "width": 384,
+ "height": 621,
+ "id": "ChatOpenAI-02kOF",
+ "type": "genericNode",
+ "position": {
+ "x": 483,
+ "y": 942.8665628296949
+ },
+ "data": {
+ "type": "ChatOpenAI",
+ "node": {
+ "template": {
+ "callbacks": {
+ "required": false,
+ "placeholder": "",
+ "show": false,
+ "multiline": false,
+ "password": false,
+ "name": "callbacks",
+ "advanced": false,
+ "dynamic": false,
+ "info": "",
+ "type": "langchain.callbacks.base.BaseCallbackHandler",
+ "list": true
+ },
+ "cache": {
+ "required": false,
+ "placeholder": "",
+ "show": false,
+ "multiline": false,
+ "password": false,
+ "name": "cache",
+ "advanced": false,
+ "dynamic": false,
+ "info": "",
+ "type": "bool",
+ "list": false
+ },
+ "client": {
+ "required": false,
+ "placeholder": "",
+ "show": false,
+ "multiline": false,
+ "password": false,
+ "name": "client",
+ "advanced": false,
+ "dynamic": false,
+ "info": "",
+ "type": "Any",
+ "list": false
+ },
+ "max_retries": {
+ "required": false,
+ "placeholder": "",
+ "show": false,
+ "multiline": false,
+ "value": 6,
+ "password": false,
+ "name": "max_retries",
+ "advanced": false,
+ "dynamic": false,
+ "info": "",
+ "type": "int",
+ "list": false
+ },
+ "max_tokens": {
+ "required": false,
+ "placeholder": "",
+ "show": true,
+ "multiline": false,
+ "password": true,
+ "name": "max_tokens",
+ "advanced": false,
+ "dynamic": false,
+ "info": "",
+ "type": "int",
+ "list": false,
+ "value": ""
+ },
+ "metadata": {
+ "required": false,
+ "placeholder": "",
+ "show": false,
+ "multiline": false,
+ "password": false,
+ "name": "metadata",
+ "advanced": false,
+ "dynamic": false,
+ "info": "",
+ "type": "code",
+ "list": false
+ },
+ "model_kwargs": {
+ "required": false,
+ "placeholder": "",
+ "show": true,
+ "multiline": false,
+ "password": false,
+ "name": "model_kwargs",
+ "advanced": true,
+ "dynamic": false,
+ "info": "",
+ "type": "code",
+ "list": false
+ },
+ "model_name": {
+ "required": false,
+ "placeholder": "",
+ "show": true,
+ "multiline": false,
+ "value": "gpt-3.5-turbo-0613",
+ "password": false,
+ "options": [
+ "gpt-3.5-turbo-0613",
+ "gpt-3.5-turbo",
+ "gpt-3.5-turbo-16k-0613",
+ "gpt-3.5-turbo-16k",
+ "gpt-4-0613",
+ "gpt-4-32k-0613",
+ "gpt-4",
+ "gpt-4-32k"
+ ],
+ "name": "model_name",
+ "advanced": false,
+ "dynamic": false,
+ "info": "",
+ "type": "str",
+ "list": true
+ },
+ "n": {
+ "required": false,
+ "placeholder": "",
+ "show": false,
+ "multiline": false,
+ "value": 1,
+ "password": false,
+ "name": "n",
+ "advanced": false,
+ "dynamic": false,
+ "info": "",
+ "type": "int",
+ "list": false
+ },
+ "openai_api_base": {
+ "required": false,
+ "placeholder": "",
+ "show": true,
+ "multiline": false,
+ "password": false,
+ "name": "openai_api_base",
+ "display_name": "OpenAI API Base",
+ "advanced": false,
+ "dynamic": false,
+ "info": "\nThe base URL of the OpenAI API. Defaults to https://api.openai.com/v1.\n\nYou can change this to use other APIs like JinaChat, LocalAI and Prem.\n",
+ "type": "str",
+ "list": false
+ },
+ "openai_api_key": {
+ "required": false,
+ "placeholder": "",
+ "show": true,
+ "multiline": false,
+ "value": "",
+ "password": true,
+ "name": "openai_api_key",
+ "display_name": "OpenAI API Key",
+ "advanced": false,
+ "dynamic": false,
+ "info": "",
+ "type": "str",
+ "list": false
+ },
+ "openai_organization": {
+ "required": false,
+ "placeholder": "",
+ "show": false,
+ "multiline": false,
+ "password": false,
+ "name": "openai_organization",
+ "display_name": "OpenAI Organization",
+ "advanced": false,
+ "dynamic": false,
+ "info": "",
+ "type": "str",
+ "list": false
+ },
+ "openai_proxy": {
+ "required": false,
+ "placeholder": "",
+ "show": false,
+ "multiline": false,
+ "password": false,
+ "name": "openai_proxy",
+ "display_name": "OpenAI Proxy",
+ "advanced": false,
+ "dynamic": false,
+ "info": "",
+ "type": "str",
+ "list": false
+ },
+ "request_timeout": {
+ "required": false,
+ "placeholder": "",
+ "show": false,
+ "multiline": false,
+ "password": false,
+ "name": "request_timeout",
+ "advanced": false,
+ "dynamic": false,
+ "info": "",
+ "type": "float",
+ "list": false
+ },
+ "streaming": {
+ "required": false,
+ "placeholder": "",
+ "show": false,
+ "multiline": false,
+ "value": false,
+ "password": false,
+ "name": "streaming",
+ "advanced": false,
+ "dynamic": false,
+ "info": "",
+ "type": "bool",
+ "list": false
+ },
+ "tags": {
+ "required": false,
+ "placeholder": "",
+ "show": false,
+ "multiline": false,
+ "password": false,
+ "name": "tags",
+ "advanced": false,
+ "dynamic": false,
+ "info": "",
+ "type": "str",
+ "list": true
+ },
+ "temperature": {
+ "required": false,
+ "placeholder": "",
+ "show": true,
+ "multiline": false,
+ "value": 0.7,
+ "password": false,
+ "name": "temperature",
+ "advanced": false,
+ "dynamic": false,
+ "info": "",
+ "type": "float",
+ "list": false
+ },
+ "tiktoken_model_name": {
+ "required": false,
+ "placeholder": "",
+ "show": false,
+ "multiline": false,
+ "password": false,
+ "name": "tiktoken_model_name",
+ "advanced": false,
+ "dynamic": false,
+ "info": "",
+ "type": "str",
+ "list": false
+ },
+ "verbose": {
+ "required": false,
+ "placeholder": "",
+ "show": false,
+ "multiline": false,
+ "value": false,
+ "password": false,
+ "name": "verbose",
+ "advanced": false,
+ "dynamic": false,
+ "info": "",
+ "type": "bool",
+ "list": false
+ },
+ "_type": "ChatOpenAI"
+ },
+ "description": "`OpenAI` Chat large language models API.",
+ "base_classes": [
+ "ChatOpenAI",
+ "BaseLanguageModel",
+ "BaseChatModel",
+ "BaseLLM"
+ ],
+ "display_name": "ChatOpenAI",
+ "custom_fields": {},
+ "output_types": [],
+ "documentation": "https://python.langchain.com/docs/modules/model_io/models/chat/integrations/openai",
+ "beta": false,
+ "error": null
+ },
+ "id": "ChatOpenAI-02kOF"
+ },
+ "selected": false,
+ "positionAbsolute": {
+ "x": 483,
+ "y": 942.8665628296949
+ }
+ },
+ {
+ "width": 384,
+ "height": 389,
+ "id": "ChatOutput-8SWFf",
+ "type": "genericNode",
+ "position": {
+ "x": 2035.5749798606498,
+ "y": 651.0174452514373
+ },
+ "data": {
+ "type": "ChatOutput",
+ "node": {
+ "template": {
+ "code": {
+ "dynamic": true,
+ "required": true,
+ "placeholder": "",
+ "show": true,
+ "multiline": true,
+ "value": "from typing import Optional\nfrom langflow.api.v1.schemas import ChatMessage\nfrom langflow.services.utils import get_chat_manager\nfrom langflow.custom import CustomComponent\nfrom anyio.from_thread import start_blocking_portal\nfrom loguru import logger\nfrom langflow.field_typing import Text\n\n\nclass ChatOutput(CustomComponent):\n display_name = \"Chat Output\"\n\n def build_config(self):\n return {\"message\": {\"input_types\": [\"str\"]}}\n\n def build(self, message: Optional[Text], is_ai: bool = False) -> Text:\n if not message:\n return \"\"\n try:\n chat_manager = get_chat_manager()\n chat_message = ChatMessage(message=message, is_bot=is_ai)\n # send_message is a coroutine\n # run in a thread safe manner\n with start_blocking_portal() as portal:\n portal.call(chat_manager.send_message, chat_message)\n chat_manager.chat_history.add_message(\n chat_manager.cache_manager.current_client_id, chat_message\n )\n except Exception as exc:\n logger.exception(exc)\n logger.debug(f\"Error sending message to chat: {exc}\")\n\n return message\n",
+ "password": false,
+ "name": "code",
+ "advanced": false,
+ "type": "code",
+ "list": false
+ },
+ "_type": "CustomComponent",
+ "is_ai": {
+ "required": true,
+ "placeholder": "",
+ "show": true,
+ "multiline": false,
+ "value": false,
+ "password": false,
+ "name": "is_ai",
+ "display_name": "is_ai",
+ "advanced": false,
+ "dynamic": false,
+ "info": "",
+ "type": "bool",
+ "list": false
+ },
+ "message": {
+ "required": false,
+ "placeholder": "",
+ "show": true,
+ "multiline": false,
+ "password": false,
+ "name": "message",
+ "display_name": "message",
+ "advanced": false,
+ "input_types": [
+ "Text"
+ ],
+ "dynamic": false,
+ "info": "",
+ "type": "Text",
+ "list": false
+ }
+ },
+ "description": "Used to send a message to the chat.",
+ "base_classes": [
+ "str"
+ ],
+ "display_name": "Chat Output",
+ "custom_fields": {
+ "is_ai": null,
+ "message": null
+ },
+ "output_types": [
+ "ChatOutput"
+ ],
+ "documentation": "",
+ "beta": true,
+ "error": null
+ },
+ "id": "ChatOutput-8SWFf"
+ },
+ "selected": false,
+ "positionAbsolute": {
+ "x": 2035.5749798606498,
+ "y": 651.0174452514373
+ }
+ },
+ {
+ "width": 384,
+ "height": 273,
+ "id": "ChatInput-PqtHe",
+ "type": "genericNode",
+ "position": {
+ "x": 504.7467002897712,
+ "y": 388.46875
+ },
+ "data": {
+ "type": "ChatInput",
+ "node": {
+ "template": {
+ "code": {
+ "dynamic": true,
+ "required": true,
+ "placeholder": "",
+ "show": false,
+ "multiline": true,
+ "value": "from typing import Optional\nfrom langflow.custom import CustomComponent\n\n\nclass ChatInput(CustomComponent):\n display_name = \"Chat Input\"\n\n def build(self, message: Optional[str] = \"\") -> str:\n return message\n",
+ "password": false,
+ "name": "code",
+ "advanced": false,
+ "type": "code",
+ "list": false
+ },
+ "_type": "CustomComponent",
+ "message": {
+ "required": false,
+ "placeholder": "",
+ "show": true,
+ "multiline": false,
+ "value": "",
+ "password": false,
+ "name": "message",
+ "display_name": "message",
+ "advanced": false,
+ "dynamic": false,
+ "info": "",
+ "type": "str",
+ "list": false
+ }
+ },
+ "description": "Used to get user input from the chat.",
+ "base_classes": [
+ "str"
+ ],
+ "display_name": "Chat Input",
+ "custom_fields": {
+ "message": null
+ },
+ "output_types": [
+ "ChatInput"
+ ],
+ "documentation": "",
+ "beta": true,
+ "error": null
+ },
+ "id": "ChatInput-PqtHe"
+ },
+ "selected": false,
+ "positionAbsolute": {
+ "x": 504.7467002897712,
+ "y": 388.46875
+ }
+ },
+ {
+ "width": 384,
+ "height": 475,
+ "id": "Tool-jyI4N",
+ "type": "genericNode",
+ "position": {
+ "x": 2044.485030617051,
+ "y": 1131.4250055845532
+ },
+ "data": {
+ "type": "Tool",
+ "node": {
+ "template": {
+ "func": {
+ "required": true,
+ "placeholder": "",
+ "show": true,
+ "multiline": true,
+ "password": false,
+ "name": "func",
+ "advanced": false,
+ "dynamic": false,
+ "info": "",
+ "type": "function",
+ "list": false
+ },
+ "description": {
+ "required": true,
+ "placeholder": "",
+ "show": true,
+ "multiline": true,
+ "value": "Test tool",
+ "password": false,
+ "name": "description",
+ "advanced": false,
+ "dynamic": false,
+ "info": "",
+ "type": "str",
+ "list": false
+ },
+ "name": {
+ "required": true,
+ "placeholder": "",
+ "show": true,
+ "multiline": true,
+ "value": "Tool",
+ "password": false,
+ "name": "name",
+ "advanced": false,
+ "dynamic": false,
+ "info": "",
+ "type": "str",
+ "list": false
+ },
+ "return_direct": {
+ "required": true,
+ "placeholder": "",
+ "show": true,
+ "multiline": false,
+ "value": false,
+ "password": false,
+ "name": "return_direct",
+ "advanced": false,
+ "dynamic": false,
+ "info": "",
+ "type": "bool",
+ "list": false
+ },
+ "_type": "Tool"
+ },
+ "description": "Converts a chain, agent or function into a tool.",
+ "base_classes": [
+ "Tool",
+ "BaseTool"
+ ],
+ "display_name": "Tool",
+ "custom_fields": {},
+ "output_types": [],
+ "documentation": "",
+ "beta": false,
+ "error": null
+ },
+ "id": "Tool-jyI4N"
+ },
+ "selected": true,
+ "positionAbsolute": {
+ "x": 2044.485030617051,
+ "y": 1131.4250055845532
+ },
+ "dragging": false
+ }
+ ],
+ "edges": [
+ {
+ "source": "PromptTemplate-CweKz",
+ "target": "LLMChain-HUM6g",
+ "sourceHandle": "PromptTemplate|PromptTemplate-CweKz|BasePromptTemplate|StringPromptTemplate|PromptTemplate",
+ "targetHandle": "BasePromptTemplate|prompt|LLMChain-HUM6g",
+ "id": "reactflow__edge-PromptTemplate-CweKzPromptTemplate|PromptTemplate-CweKz|BasePromptTemplate|StringPromptTemplate|PromptTemplate-LLMChain-HUM6gBasePromptTemplate|prompt|LLMChain-HUM6g",
+ "style": {
+ "stroke": "#555"
+ },
+ "className": "stroke-gray-900 ",
+ "animated": false,
+ "selected": false
+ },
+ {
+ "source": "ChatOpenAI-02kOF",
+ "target": "LLMChain-HUM6g",
+ "sourceHandle": "ChatOpenAI|ChatOpenAI-02kOF|ChatOpenAI|BaseLanguageModel|BaseChatModel|BaseLLM",
+ "targetHandle": "BaseLanguageModel|llm|LLMChain-HUM6g",
+ "id": "reactflow__edge-ChatOpenAI-02kOFChatOpenAI|ChatOpenAI-02kOF|ChatOpenAI|BaseLanguageModel|BaseChatModel|BaseLLM-LLMChain-HUM6gBaseLanguageModel|llm|LLMChain-HUM6g",
+ "style": {
+ "stroke": "#555"
+ },
+ "className": "stroke-gray-900 ",
+ "animated": false,
+ "selected": false
+ },
+ {
+ "source": "ChatInput-PqtHe",
+ "target": "PromptTemplate-CweKz",
+ "sourceHandle": "ChatInput|ChatInput-PqtHe|str",
+ "targetHandle": "Document;BaseOutputParser;str|input|PromptTemplate-CweKz",
+ "id": "reactflow__edge-ChatInput-PqtHeChatInput|ChatInput-PqtHe|str-PromptTemplate-CweKzDocument;BaseOutputParser;str|input|PromptTemplate-CweKz",
+ "style": {
+ "stroke": "#555"
+ },
+ "className": "stroke-gray-900 ",
+ "animated": false,
+ "selected": false
+ },
+ {
+ "source": "LLMChain-HUM6g",
+ "sourceHandle": "LLMChain|LLMChain-HUM6g|LLMChain|Chain|function|Text",
+ "target": "ChatOutput-8SWFf",
+ "targetHandle": "Text|message|ChatOutput-8SWFf",
+ "style": {
+ "stroke": "#555"
+ },
+ "className": "stroke-foreground stroke-connection",
+ "animated": true,
+ "id": "reactflow__edge-LLMChain-HUM6gLLMChain|LLMChain-HUM6g|LLMChain|Chain|function|Text-ChatOutput-8SWFfText|message|ChatOutput-8SWFf"
+ },
+ {
+ "source": "LLMChain-HUM6g",
+ "sourceHandle": "LLMChain|LLMChain-HUM6g|LLMChain|Chain|function|Text",
+ "target": "Tool-jyI4N",
+ "targetHandle": "function|func|Tool-jyI4N",
+ "style": {
+ "stroke": "#555"
+ },
+ "className": "stroke-foreground stroke-connection",
+ "animated": false,
+ "id": "reactflow__edge-LLMChain-HUM6gLLMChain|LLMChain-HUM6g|LLMChain|Chain|function|Text-Tool-jyI4Nfunction|func|Tool-jyI4N"
+ }
+ ],
+ "viewport": {
+ "x": -401.32668426335044,
+ "y": -129.59138346130635,
+ "zoom": 0.5073779796520557
+ }
+ },
+ "id": "cf923ccb-e14c-4754-96eb-a8a3b5bbe082",
+ "user_id": "c65bfea3-3eea-4e71-8fc4-106238eb0583"
+}
\ No newline at end of file
diff --git a/tests/data/component.py b/tests/data/component.py
index e801d2feb..5de63fcd5 100644
--- a/tests/data/component.py
+++ b/tests/data/component.py
@@ -1,6 +1,6 @@
import random
-from langflow import CustomComponent
+from langflow.custom import CustomComponent
class TestComponent(CustomComponent):
diff --git a/tests/data/component_with_templatefield.py b/tests/data/component_with_templatefield.py
index 6b2ce011b..26d7e834b 100644
--- a/tests/data/component_with_templatefield.py
+++ b/tests/data/component_with_templatefield.py
@@ -1,6 +1,6 @@
import random
-from langflow import CustomComponent
+from langflow.custom import CustomComponent
from langflow.field_typing import TemplateField
diff --git a/tests/test_endpoints.py b/tests/test_endpoints.py
index 4494934fd..7b1ccd2ef 100644
--- a/tests/test_endpoints.py
+++ b/tests/test_endpoints.py
@@ -1,14 +1,12 @@
import time
+from uuid import uuid4
import pytest
from fastapi import status
from fastapi.testclient import TestClient
from langflow.interface.custom.directory_reader.directory_reader import DirectoryReader
-from langflow.services.auth.utils import get_password_hash
-from langflow.services.database.models.api_key.model import ApiKey
-from langflow.services.database.utils import session_getter
-from langflow.services.deps import get_db_service, get_settings_service
+from langflow.services.deps import get_settings_service
from langflow.template.frontend_node.chains import TimeTravelGuideChainNode
@@ -112,25 +110,6 @@ PROMPT_REQUEST = {
}
-@pytest.fixture
-def created_api_key(active_user):
- hashed = get_password_hash("random_key")
- api_key = ApiKey(
- name="test_api_key",
- user_id=active_user.id,
- api_key="random_key",
- hashed_api_key=hashed,
- )
- db_manager = get_db_service()
- with session_getter(db_manager) as session:
- if existing_api_key := session.query(ApiKey).filter(ApiKey.api_key == api_key.api_key).first():
- return existing_api_key
- session.add(api_key)
- session.commit()
- session.refresh(api_key)
- return api_key
-
-
# def test_process_flow_invalid_api_key(client, flow, monkeypatch):
# # Mock de process_graph_cached
# from langflow.api.v1 import endpoints
@@ -452,18 +431,24 @@ def test_successful_run(client, starter_project, created_api_key):
assert response.status_code == status.HTTP_200_OK, response.text
# Add more assertions here to validate the response content
json_response = response.json()
+ assert "session_id" in json_response
assert "outputs" in json_response
outer_outputs = json_response["outputs"]
assert len(outer_outputs) == 1
- outputs = outer_outputs[0]
- assert len(outputs) == 2
- keys = ["results", "artifacts", "messages"]
- for output in outputs:
- assert all(key in output for key in keys)
- output = outputs[0]
- result = output["results"]["result"]
- assert result == "Write a press release \n\n- Cars\n- Bottle\n\n\nAnswer:\n\n"
- assert "session_id" in json_response
+ outputs_dict = outer_outputs[0]
+ assert len(outputs_dict) == 2
+ assert "inputs" in outputs_dict
+ assert "outputs" in outputs_dict
+ assert outputs_dict.get("inputs") == {"input_value": ""}
+ assert isinstance(outputs_dict.get("outputs"), list)
+ assert len(outputs_dict.get("outputs")) == 2
+ ids = [output.get("component_id") for output in outputs_dict.get("outputs")]
+ assert all([id in ids for id in ["TextOutput-fTp5e", "ChatOutput-AVN8s"]])
+ display_names = [output.get("component_display_name") for output in outputs_dict.get("outputs")]
+ assert all([name in display_names for name in ["Prompt Output", "Chat Output"]])
+ inner_results = [output.get("results").get("result") for output in outputs_dict.get("outputs")]
+ expected_results = ["Write a press release \n\n- Cars\n- Bottle\n\n\nAnswer:\n\n", ""]
+ assert all([result in inner_results for result in expected_results])
def test_run_with_inputs_and_outputs(client, starter_project, created_api_key):
@@ -484,3 +469,89 @@ def test_invalid_flow_id(client, created_api_key):
response = client.post(f"/api/v1/run/{flow_id}", headers=headers)
assert response.status_code == status.HTTP_404_NOT_FOUND
# Check if the error detail is as expected
+
+
+def test_run_flow_with_caching_success(client: TestClient, starter_project, created_api_key):
+ flow_id = starter_project["id"]
+ headers = {"x-api-key": created_api_key.api_key}
+ payload = {
+ "inputs": [
+ {"components": ["component1"], "input_value": "value1"},
+ {"components": ["component3"], "input_value": "value2"},
+ ],
+ "outputs": ["Component Name", "component_id"],
+ "tweaks": {
+ "parameter_name": "value",
+ "Component Name": {"parameter_name": "value"},
+ "component_id": {"parameter_name": "value"},
+ },
+ "stream": False,
+ }
+ response = client.post(f"/api/v1/run/{flow_id}", json=payload, headers=headers)
+ assert response.status_code == status.HTTP_200_OK
+ data = response.json()
+ assert "outputs" in data
+ assert "session_id" in data
+
+
+def test_run_flow_with_caching_invalid_flow_id(client: TestClient, created_api_key):
+ invalid_flow_id = uuid4()
+ headers = {"x-api-key": created_api_key.api_key}
+ payload = {"inputs": [], "outputs": [], "tweaks": {}, "stream": False}
+ response = client.post(f"/api/v1/run/{invalid_flow_id}", json=payload, headers=headers)
+ assert response.status_code == status.HTTP_404_NOT_FOUND
+ data = response.json()
+ assert "detail" in data
+ assert f"Flow {invalid_flow_id} not found" in data["detail"]
+
+
+def test_run_flow_with_caching_invalid_input_format(client: TestClient, starter_project, created_api_key):
+ flow_id = starter_project["id"]
+ headers = {"x-api-key": created_api_key.api_key}
+ payload = {"inputs": [{"invalid_key": "value"}], "outputs": [], "tweaks": {}, "stream": False}
+ # This should raise an http 422 error not validation error
+ response = client.post(f"/api/v1/run/{flow_id}", json=payload, headers=headers)
+ assert response.status_code == status.HTTP_422_UNPROCESSABLE_ENTITY
+
+
+def test_run_flow_with_session_id(client, starter_project, created_api_key):
+ headers = {"x-api-key": created_api_key.api_key}
+ flow_id = starter_project["id"]
+ payload = {
+ "inputs": [{"components": ["component1"], "input_value": "value1"}],
+ "outputs": ["Component Name", "component_id"],
+ "session_id": "test-session-id",
+ }
+ response = client.post(f"/api/v1/run/{flow_id}", json=payload, headers=headers)
+ assert response.status_code == status.HTTP_200_OK
+ data = response.json()
+ assert "outputs" in data
+ assert "session_id" in data
+ assert data["session_id"] == "test-session-id"
+
+
+def test_run_flow_with_invalid_session_id(client, starter_project, created_api_key):
+ headers = {"x-api-key": created_api_key.api_key}
+ flow_id = starter_project["id"]
+ payload = {
+ "inputs": [{"components": ["component1"], "input_value": "value1"}],
+ "outputs": ["Component Name", "component_id"],
+ "session_id": "invalid-session-id",
+ }
+ response = client.post(f"/api/v1/run/{flow_id}", json=payload, headers=headers)
+ assert response.status_code == status.HTTP_404_NOT_FOUND
+ data = response.json()
+ assert "detail" in data
+ assert f"Session {payload['session_id']} not found" in data["detail"]
+
+
+def test_run_flow_with_invalid_tweaks(client, starter_project, created_api_key):
+ headers = {"x-api-key": created_api_key.api_key}
+ flow_id = starter_project["id"]
+ payload = {
+ "inputs": [{"components": ["component1"], "input_value": "value1"}],
+ "outputs": ["Component Name", "component_id"],
+ "tweaks": {"invalid_tweak": "value"},
+ }
+ response = client.post(f"/api/v1/run/{flow_id}", json=payload, headers=headers)
+ assert response.status_code == status.HTTP_200_OK