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64
.github/workflows/create-release.yml vendored Normal file
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@ -0,0 +1,64 @@
name: Create Release
on:
workflow_dispatch:
inputs:
version:
description: "Version to release"
required: true
type: string
release_type:
description: "Type of release (base or main)"
required: true
type: choice
options:
- base
- main
env:
POETRY_VERSION: "1.8.2"
jobs:
release:
name: Build Langflow
runs-on: ubuntu-latest
outputs:
version: ${{ steps.check-version.outputs.version }}
steps:
- uses: actions/checkout@v4
- name: Install poetry
run: pipx install poetry==$POETRY_VERSION
- name: Set up Python 3.12
uses: actions/setup-python@v5
with:
python-version: "3.12"
cache: "poetry"
- name: Build project for distribution
run: |
if [ "${{ inputs.release_type }}" == "base" ]; then
make build base=true
else
make build main=true
fi
- name: Upload Artifact
uses: actions/upload-artifact@v4
with:
name: dist${{ inputs.release_type }}
path: ${{ inputs.release_type == 'base' && 'src/backend/base/dist' || 'dist' }}
create_release:
name: Create Release Job
runs-on: ubuntu-latest
needs: release
steps:
- uses: actions/download-artifact@v4
with:
name: dist${{ inputs.release_type }}
path: dist
- name: Create Release Notes
uses: ncipollo/release-action@v1
with:
artifacts: "dist/*"
token: ${{ secrets.GITHUB_TOKEN }}
draft: false
generateReleaseNotes: true
prerelease: true
tag: v${{ inputs.version }}
commit: dev

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.github/workflows/pre-release.yml vendored
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@ -67,27 +67,30 @@ jobs:
else
make publish main=true
fi
- name: Upload Artifact
uses: actions/upload-artifact@v4
with:
name: dist${{ inputs.release_type }}
path: ${{ inputs.release_type == 'base' && 'src/backend/base/dist' || 'dist' }}
call_docker_build:
name: Call Docker Build Workflow
runs-on: ubuntu-latest
needs: release
steps:
- uses: actions/checkout@v4
- uses: ./.github/workflows/docker-build.yml
with:
version: ${{ needs.release.outputs.version }}
release_type: ${{ inputs.release_type }}
uses: langflow-ai/langflow/.github/workflows/docker-build.yml@dev
with:
version: ${{ needs.release.outputs.version }}
release_type: ${{ inputs.release_type }}
secrets: inherit
create_release:
name: Create Release
runs-on: ubuntu-latest
needs: [call_docker_build, release]
needs: [release]
if: ${{ inputs.release_type == 'main' }}
steps:
- uses: actions/download-artifact@v4
with:
name: dist
name: dist${{ inputs.release_type }}
path: dist
- name: Create Release
uses: ncipollo/release-action@v1

102
README.md
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@ -1,21 +1,49 @@
<!-- markdownlint-disable MD030 -->
# [![Langflow](https://github.com/langflow-ai/langflow/blob/dev/docs/static/img/hero.png)](https://www.langflow.org)
# [![Langflow](./docs/static/img/hero.png)](https://www.langflow.org)
### [Langflow](https://www.langflow.org) is a new, visual way to build, iterate and deploy AI apps.
<p align="center"><strong>
A visual framework for building Gen-AI and RAG apps with LangChain
</strong></p>
<p align="center" style="font-size: 12px;">
Open-source, Python-powered, fully customizable, LLM and vector store agnostic
</p>
# ⚡️ Documentation and Community
<p align="center" style="font-size: 12px;">
<a href="https://docs.langflow.org" style="text-decoration: underline;">Docs</a> -
<a href="https://discord.com/invite/EqksyE2EX9" style="text-decoration: underline;">Join our Discord</a> -
<a href="https://twitter.com/langflow_ai" style="text-decoration: underline;">Follow us on X</a> -
<a href="https://huggingface.co/spaces/Langflow/Langflow-Preview" style="text-decoration: underline;">Live demo</a>
</p>
- [Documentation](https://docs.langflow.org)
- [Discord](https://discord.com/invite/EqksyE2EX9)
<p align="center">
<a href="https://github.com/langflow-ai/langflow">
<img src="https://img.shields.io/github/stars/langflow-ai/langflow">
</a>
<a href="https://discord.com/invite/EqksyE2EX9">
<img src="https://img.shields.io/discord/1116803230643527710?label=Discord">
</a>
</p>
# 📦 Installation
<p align="center">
<img src="./docs/static/img/langflow_basic_howto.gif" alt="Your GIF" style="border: 3px solid #211C43;">
</p>
# 📝 Content
- [Get Started](#-get-started)
- [Create Flows](#-create-flows)
- [Deploy](#deploy)
- [Command Line Interface (CLI)](#️-command-line-interface-cli)
- [Contribute](#-contribute)
# 📦 Get Started
You can install Langflow with pip:
```shell
# Make sure you have Python >=3.10 installed on your system.
# Install the pre-release version
# Make sure you have Python 3.10 or greater installed on your system.
# Install the pre-release version (recommended for the latest updates)
python -m pip install langflow --pre --force-reinstall
# or stable version
@ -28,9 +56,9 @@ Then, run Langflow with:
python -m langflow run
```
You can also preview Langflow in [HuggingFace Spaces](https://huggingface.co/spaces/Langflow/Langflow-Preview). [Clone the space using this link](https://huggingface.co/spaces/Langflow/Langflow-Preview?duplicate=true), to create your own Langflow workspace in minutes.
You can also preview Langflow in [HuggingFace Spaces](https://huggingface.co/spaces/Langflow/Langflow-Preview). [Clone the space using this link](https://huggingface.co/spaces/Langflow/Langflow-Preview?duplicate=true) to create your own Langflow workspace in minutes.
# 🎨 Creating Flows
# 🎨 Create Flows
Creating flows with Langflow is easy. Simply drag components from the sidebar onto the canvas and connect them to start building your application.
@ -46,6 +74,32 @@ from langflow.load import run_flow_from_json
results = run_flow_from_json("path/to/flow.json", input_value="Hello, World!")
```
# Deploy
## Deploy Langflow on Google Cloud Platform
Follow our step-by-step guide to deploy Langflow on Google Cloud Platform (GCP) using Google Cloud Shell. The guide is available in the [**Langflow in Google Cloud Platform**](https://github.com/langflow-ai/langflow/blob/dev/docs/docs/deployment/gcp-deployment.md) document.
Alternatively, click the **"Open in Cloud Shell"** button below to launch Google Cloud Shell, clone the Langflow repository, and start an **interactive tutorial** that will guide you through the process of setting up the necessary resources and deploying Langflow on your GCP project.
[![Open in Cloud Shell](https://gstatic.com/cloudssh/images/open-btn.svg)](https://console.cloud.google.com/cloudshell/open?git_repo=https://github.com/langflow-ai/langflow&working_dir=scripts/gcp&shellonly=true&tutorial=walkthroughtutorial_spot.md)
## Deploy on Railway
Use this template to deploy Langflow 1.0 Preview on Railway:
[![Deploy 1.0 Preview on Railway](https://railway.app/button.svg)](https://railway.app/template/UsJ1uB?referralCode=MnPSdg)
Or this one to deploy Langflow 0.6.x:
[![Deploy on Railway](https://railway.app/button.svg)](https://railway.app/template/JMXEWp?referralCode=MnPSdg)
## Deploy on Render
<a href="https://render.com/deploy?repo=https://github.com/langflow-ai/langflow/tree/main">
<img src="https://render.com/images/deploy-to-render-button.svg" alt="Deploy to Render" />
</a>
# 🖥️ Command Line Interface (CLI)
Langflow provides a command-line interface (CLI) for easy management and configuration.
@ -87,33 +141,7 @@ You can configure many of the CLI options using environment variables. These can
A sample `.env` file named `.env.example` is included with the project. Copy this file to a new file named `.env` and replace the example values with your actual settings. If you're setting values in both your OS and the `.env` file, the `.env` settings will take precedence.
# Deployment
## Deploy Langflow on Google Cloud Platform
Follow our step-by-step guide to deploy Langflow on Google Cloud Platform (GCP) using Google Cloud Shell. The guide is available in the [**Langflow in Google Cloud Platform**](GCP_DEPLOYMENT.md) document.
Alternatively, click the **"Open in Cloud Shell"** button below to launch Google Cloud Shell, clone the Langflow repository, and start an **interactive tutorial** that will guide you through the process of setting up the necessary resources and deploying Langflow on your GCP project.
[![Open in Cloud Shell](https://gstatic.com/cloudssh/images/open-btn.svg)](https://console.cloud.google.com/cloudshell/open?git_repo=https://github.com/langflow-ai/langflow&working_dir=scripts/gcp&shellonly=true&tutorial=walkthroughtutorial_spot.md)
## Deploy on Railway
Use this template to deploy Langflow 1.0 Preview on Railway:
[![Deploy 1.0 Preview on Railway](https://railway.app/button.svg)](https://railway.app/template/UsJ1uB?referralCode=MnPSdg)
Or this one to deploy Langflow 0.6.x:
[![Deploy on Railway](https://railway.app/button.svg)](https://railway.app/template/JMXEWp?referralCode=MnPSdg)
## Deploy on Render
<a href="https://render.com/deploy?repo=https://github.com/langflow-ai/langflow/tree/main">
<img src="https://render.com/images/deploy-to-render-button.svg" alt="Deploy to Render" />
</a>
# 👋 Contributing
# 👋 Contribute
We welcome contributions from developers of all levels to our open-source project on GitHub. If you'd like to contribute, please check our [contributing guidelines](./CONTRIBUTING.md) and help make Langflow more accessible.

4
docker/.dockerignore
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@ -4,4 +4,6 @@ node_modules
**/node_modules/
dist/
**/build/
src/backend/langflow/frontend
src/backend/langflow/frontend
**/langflow-pre.db
**/langflow.db

11
docker/build_and_push.Dockerfile
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@ -72,16 +72,21 @@ COPY Makefile ./
COPY README.md ./
RUN --mount=type=cache,target=/root/.cache \
curl -sSL https://install.python-poetry.org | python3 -
RUN useradd -m -u 1000 user && \
mkdir -p /app/langflow && \
chown -R user:user /app && \
chmod -R u+w /app/langflow
# Update PATH with home/user/.local/bin
ENV PATH="/home/user/.local/bin:${PATH}"
RUN python -m pip install requests && cd ./scripts && python update_dependencies.py
RUN $POETRY_HOME/bin/poetry lock
RUN $POETRY_HOME/bin/poetry build
# Copy virtual environment and built .tar.gz from builder base
RUN useradd -m -u 1000 user
RUN chown -R user:user /app
USER user
# Install the package from the .tar.gz
RUN python -m pip install /app/dist/*.tar.gz
RUN python -m pip install /app/dist/*.tar.gz --user
ENTRYPOINT ["python", "-m", "langflow", "run"]
CMD ["--host", "0.0.0.0", "--port", "7860"]

12
docker/build_and_push_base.Dockerfile
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@ -78,14 +78,20 @@ RUN cd src/frontend && npm run build
COPY src/backend ./src/backend
RUN cp -r src/frontend/build src/backend/base/langflow/frontend
RUN rm -rf src/backend/base/dist
RUN useradd -m -u 1000 user && \
mkdir -p /app/langflow && \
chown -R user:user /app && \
chmod -R u+w /app/langflow
# Update PATH with home/user/.local/bin
ENV PATH="/home/user/.local/bin:${PATH}"
RUN cd src/backend/base && $POETRY_HOME/bin/poetry build
# Copy virtual environment and built .tar.gz from builder base
RUN useradd -m -u 1000 user
RUN chown -R user:user /app
USER user
# Install the package from the .tar.gz
RUN python -m pip install /app/src/backend/base/dist/*.tar.gz
RUN python -m pip install /app/src/backend/base/dist/*.tar.gz --user
ENTRYPOINT ["python", "-m", "langflow", "run"]

2
docker_example/pre.docker-compose.yml
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@ -12,7 +12,7 @@ services:
# This variable defines where the logs, file storage, monitor data and secret keys are stored.
- LANGFLOW_CONFIG_DIR=app/langflow
volumes:
- langflow-data:app/langflow
- langflow-data:/app/langflow
postgres:
image: postgres:16

9
docs/docs/administration/api.mdx
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@ -7,9 +7,12 @@ import Admonition from "@theme/Admonition";
Langflow provides an API key functionality that allows users to access their individual components and flows without traditional login authentication. The API key is a user-specific token that can be included in the request header or query parameter to authenticate API calls. This documentation outlines how to generate, use, and manage API keys in Langflow.
<Admonition type="warning">
This feature requires the LANGFLOW_AUTO_LOGIN environment variable to be set to False.
The default user and password are set using the LANGFLOW_SUPERUSER and LANGFLOW_SUPERUSER_PASSWORD environment variables.
The default values are langflow and langflow, respectively.
The default user and password are set using the LANGFLOW_SUPERUSER and
LANGFLOW_SUPERUSER_PASSWORD environment variables.
The default values are
langflow and langflow, respectively.
</Admonition>
## Generating an API Key

41
docs/docs/administration/cli.mdx
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@ -7,12 +7,12 @@ Langflow's Command Line Interface (CLI) is a powerful tool that allows you to in
Running the CLI without any arguments will display a list of available commands and options.
```bash
python -m langflow --help
python -m langflow run --help
# or
python -m langflow
python -m langflow run
```
Each option is detailed below:
Each option for `run` command are detailed below:
- `--help`: Displays all available options.
- `--host`: Defines the host to bind the server to. Can be set using the `LANGFLOW_HOST` environment variable. The default is `127.0.0.1`.
@ -35,6 +35,41 @@ Each option is detailed below:
These parameters are important for users who need to customize the behavior of Langflow, especially in development or specialized deployment scenarios.
### API Key Command
The `api-key` command allows you to create an API key for accessing Langflow's API when `LANGFLOW_AUTO_LOGIN` is set to `True`.
```bash
python -m langflow api-key --help
Usage: langflow api-key [OPTIONS]
Creates an API key for the default superuser if AUTO_LOGIN is enabled.
Args: log_level (str, optional): Logging level. Defaults to "error".
Returns: None
╭─ Options ───────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────╮
│ --log-level TEXT Logging level. [env var: LANGFLOW_LOG_LEVEL] [default: error] │
│ --help Show this message and exit. │
╰─────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────╯
```
Once you run the `api-key` command, it will create an API key for the default superuser if `LANGFLOW_AUTO_LOGIN` is set to `True`.
```bash
python -m langflow api-key
╭─────────────────────────────────────────────────────────────────────╮
│ API Key Created Successfully: │
│ │
│ sk-O0elzoWID1izAH8RUKrnnvyyMwIzHi2Wk-uXWoNJ2Ro │
│ │
│ This is the only time the API key will be displayed. │
│ Make sure to store it in a secure location. │
│ │
│ The API key has been copied to your clipboard. Cmd + V to paste it. │
╰─────────────────────────────────────────────────────────────────────╯
```
### Environment Variables
You can configure many of the CLI options using environment variables. These can be exported in your operating system or added to a `.env` file and loaded using the `--env-file` option.

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poetry.lock generated
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@ -472,17 +472,17 @@ files = [
[[package]]
name = "boto3"
version = "1.34.113"
version = "1.34.114"
description = "The AWS SDK for Python"
optional = false
python-versions = ">=3.8"
files = [
{file = "boto3-1.34.113-py3-none-any.whl", hash = "sha256:7e59f0a848be477a4c98a90e7a18a0e284adfb643f7879d2b303c5f493661b7a"},
{file = "boto3-1.34.113.tar.gz", hash = "sha256:009cd143509f2ff4c37582c3f45d50f28c95eed68e8a5c36641206bdb597a9ea"},
{file = "boto3-1.34.114-py3-none-any.whl", hash = "sha256:4460958d2b0c53bd2195b23ed5d45db2350e514486fe8caeb38b285b30742280"},
{file = "boto3-1.34.114.tar.gz", hash = "sha256:eeb11bca9b19d12baf93436fb8a16b8b824f1f7e8b9bcc722607e862c46b1b08"},
]
[package.dependencies]
botocore = ">=1.34.113,<1.35.0"
botocore = ">=1.34.114,<1.35.0"
jmespath = ">=0.7.1,<2.0.0"
s3transfer = ">=0.10.0,<0.11.0"
@ -491,13 +491,13 @@ crt = ["botocore[crt] (>=1.21.0,<2.0a0)"]
[[package]]
name = "botocore"
version = "1.34.113"
version = "1.34.114"
description = "Low-level, data-driven core of boto 3."
optional = false
python-versions = ">=3.8"
files = [
{file = "botocore-1.34.113-py3-none-any.whl", hash = "sha256:8ca87776450ef41dd25c327eb6e504294230a5756940d68bcfdedc4a7cdeca97"},
{file = "botocore-1.34.113.tar.gz", hash = "sha256:449912ba3c4ded64f21d09d428146dd9c05337b2a112e15511bf2c4888faae79"},
{file = "botocore-1.34.114-py3-none-any.whl", hash = "sha256:606d1e55984d45e41a812badee292755f4db0233eed9cca63ea3bb8f5755507f"},
{file = "botocore-1.34.114.tar.gz", hash = "sha256:5705f74fda009656a218ffaf4afd81228359160f2ab806ab8222d07e9da3a73b"},
]
[package.dependencies]
@ -4308,13 +4308,13 @@ extended-testing = ["beautifulsoup4 (>=4.12.3,<5.0.0)", "lxml (>=4.9.3,<6.0)"]
[[package]]
name = "langchainhub"
version = "0.1.16"
version = "0.1.17"
description = "The LangChain Hub API client"
optional = false
python-versions = "<4.0,>=3.8.1"
files = [
{file = "langchainhub-0.1.16-py3-none-any.whl", hash = "sha256:a4379a1879cc6b441b8d02cc65e28a54f160fba61c9d1d4b0eddc3a276dff99a"},
{file = "langchainhub-0.1.16.tar.gz", hash = "sha256:9f11e68fddb575e70ef4b28800eedbd9eeb180ba508def04f7153ea5b246b6fc"},
{file = "langchainhub-0.1.17-py3-none-any.whl", hash = "sha256:4c609b3948252c71670f0d98f73413b515cfd2f6701a7b40ce959203e6133e04"},
{file = "langchainhub-0.1.17.tar.gz", hash = "sha256:af7df0cb1cebc7a6e0864e8632ae48ecad39ed96568f699c78657b9d04e50b46"},
]
[package.dependencies]
@ -4323,7 +4323,7 @@ types-requests = ">=2.31.0.2,<3.0.0.0"
[[package]]
name = "langflow-base"
version = "0.0.50"
version = "0.0.53"
description = "A Python package with a built-in web application"
optional = false
python-versions = ">=3.10,<3.13"
@ -4365,6 +4365,7 @@ python-socketio = "^5.11.0"
rich = "^13.7.0"
sqlmodel = "^0.0.18"
typer = "^0.12.0"
uncurl = "^0.0.11"
uvicorn = "^0.29.0"
websockets = "*"
@ -4419,13 +4420,13 @@ requests = ">=2,<3"
[[package]]
name = "litellm"
version = "1.38.11"
version = "1.39.2"
description = "Library to easily interface with LLM API providers"
optional = false
python-versions = "!=2.7.*,!=3.0.*,!=3.1.*,!=3.2.*,!=3.3.*,!=3.4.*,!=3.5.*,!=3.6.*,!=3.7.*,>=3.8"
files = [
{file = "litellm-1.38.11-py3-none-any.whl", hash = "sha256:772e0f3b2a78184bbfe221004ad031939b7d76d5be0e5537effdf8afb82e8ac0"},
{file = "litellm-1.38.11.tar.gz", hash = "sha256:5c65b707e4779000913c54da144ad93e7ef4ca0f25215ae386fe2cadd41bf744"},
{file = "litellm-1.39.2-py3-none-any.whl", hash = "sha256:843cb9a4d45c89ba6da95529815ec83ee7e4b7fe07aa0ed633102f600fddd9ad"},
{file = "litellm-1.39.2.tar.gz", hash = "sha256:96c4f3d522ccf32817357b1e9f5f63fa36a4a884f336314e1f6d66c0576d689e"},
]
[package.dependencies]
@ -5286,18 +5287,15 @@ test = ["pytest (>=7.2)", "pytest-cov (>=4.0)"]
[[package]]
name = "nodeenv"
version = "1.8.0"
version = "1.9.0"
description = "Node.js virtual environment builder"
optional = false
python-versions = ">=2.7,!=3.0.*,!=3.1.*,!=3.2.*,!=3.3.*,!=3.4.*,!=3.5.*,!=3.6.*"
python-versions = "!=3.0.*,!=3.1.*,!=3.2.*,!=3.3.*,!=3.4.*,!=3.5.*,!=3.6.*,>=2.7"
files = [
{file = "nodeenv-1.8.0-py2.py3-none-any.whl", hash = "sha256:df865724bb3c3adc86b3876fa209771517b0cfe596beff01a92700e0e8be4cec"},
{file = "nodeenv-1.8.0.tar.gz", hash = "sha256:d51e0c37e64fbf47d017feac3145cdbb58836d7eee8c6f6d3b6880c5456227d2"},
{file = "nodeenv-1.9.0-py2.py3-none-any.whl", hash = "sha256:508ecec98f9f3330b636d4448c0f1a56fc68017c68f1e7857ebc52acf0eb879a"},
{file = "nodeenv-1.9.0.tar.gz", hash = "sha256:07f144e90dae547bf0d4ee8da0ee42664a42a04e02ed68e06324348dafe4bdb1"},
]
[package.dependencies]
setuptools = "*"
[[package]]
name = "numexpr"
version = "2.10.0"
@ -5586,13 +5584,13 @@ sympy = "*"
[[package]]
name = "openai"
version = "1.30.3"
version = "1.30.4"
description = "The official Python library for the openai API"
optional = false
python-versions = ">=3.7.1"
files = [
{file = "openai-1.30.3-py3-none-any.whl", hash = "sha256:f88119c8a848998be533c71ab8aa832446fa72b7ddbc70917c3f5886dc132051"},
{file = "openai-1.30.3.tar.gz", hash = "sha256:8e1bcdca2b96fe3636ab522fa153d88efde1b702d12ec32f1c73e9553ff93f45"},
{file = "openai-1.30.4-py3-none-any.whl", hash = "sha256:fb2635efd270efaf9fac2e07558d7948373b940637d3ae3ab624c1a983d4f03f"},
{file = "openai-1.30.4.tar.gz", hash = "sha256:f3488d9a1c4e0d332b019377d27d7cb4b3d6103fd5d0a416c7ceac780d1d9b88"},
]
[package.dependencies]
@ -6725,18 +6723,18 @@ files = [
[[package]]
name = "pydantic"
version = "2.7.1"
version = "2.7.2"
description = "Data validation using Python type hints"
optional = false
python-versions = ">=3.8"
files = [
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{file = "ruff-0.4.5-py3-none-musllinux_1_2_x86_64.whl", hash = "sha256:d6ef817124d72b54cc923f3444828ba24fa45c3164bc9e8f1813db2f3d3a8a11"},
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{file = "ruff-0.4.5-py3-none-win_amd64.whl", hash = "sha256:b0b03c619d2b4350b4a27e34fd2ac64d0dabe1afbf43de57d0f9d8a05ecffa45"},
{file = "ruff-0.4.5-py3-none-win_arm64.whl", hash = "sha256:9d15de3425f53161b3f5a5658d4522e4eee5ea002bf2ac7aa380743dd9ad5fba"},
{file = "ruff-0.4.5.tar.gz", hash = "sha256:286eabd47e7d4d521d199cab84deca135557e6d1e0f0d01c29e757c3cb151b54"},
{file = "ruff-0.4.6-py3-none-macosx_10_12_x86_64.whl", hash = "sha256:ef995583a038cd4a7edf1422c9e19118e2511b8ba0b015861b4abd26ec5367c5"},
{file = "ruff-0.4.6-py3-none-macosx_11_0_arm64.whl", hash = "sha256:602ebd7ad909eab6e7da65d3c091547781bb06f5f826974a53dbe563d357e53c"},
{file = "ruff-0.4.6-py3-none-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:3f9ced5cbb7510fd7525448eeb204e0a22cabb6e99a3cb160272262817d49786"},
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{file = "ruff-0.4.6-py3-none-musllinux_1_2_aarch64.whl", hash = "sha256:1fa8561489fadf483ffbb091ea94b9c39a00ed63efacd426aae2f197a45e67fc"},
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{file = "ruff-0.4.6-py3-none-musllinux_1_2_x86_64.whl", hash = "sha256:3a6a0a4f4b5f54fff7c860010ab3dd81425445e37d35701a965c0248819dde7a"},
{file = "ruff-0.4.6-py3-none-win32.whl", hash = "sha256:9018bf59b3aa8ad4fba2b1dc0299a6e4e60a4c3bc62bbeaea222679865453062"},
{file = "ruff-0.4.6-py3-none-win_amd64.whl", hash = "sha256:a769ae07ac74ff1a019d6bd529426427c3e30d75bdf1e08bb3d46ac8f417326a"},
{file = "ruff-0.4.6-py3-none-win_arm64.whl", hash = "sha256:735a16407a1a8f58e4c5b913ad6102722e80b562dd17acb88887685ff6f20cf6"},
{file = "ruff-0.4.6.tar.gz", hash = "sha256:a797a87da50603f71e6d0765282098245aca6e3b94b7c17473115167d8dfb0b7"},
]
[[package]]
@ -9161,6 +9159,21 @@ files = [
{file = "ujson-5.10.0.tar.gz", hash = "sha256:b3cd8f3c5d8c7738257f1018880444f7b7d9b66232c64649f562d7ba86ad4bc1"},
]
[[package]]
name = "uncurl"
version = "0.0.11"
description = "A library to convert curl requests to python-requests."
optional = false
python-versions = "*"
files = [
{file = "uncurl-0.0.11-py3-none-any.whl", hash = "sha256:5961e93f07a5c9f2ef8ae4245bd92b0a6ce503c851de980f5b70080ae74cdc59"},
{file = "uncurl-0.0.11.tar.gz", hash = "sha256:530c9bbd4d118f4cde6194165ff484cc25b0661cd256f19e9d5fcb53fc077790"},
]
[package.dependencies]
pyperclip = "*"
six = "*"
[[package]]
name = "uritemplate"
version = "4.1.1"

2
pyproject.toml
View file

@ -1,6 +1,6 @@
[tool.poetry]
name = "langflow"
version = "1.0.0a39"
version = "1.0.0a42"
description = "A Python package with a built-in web application"
authors = ["Langflow <contact@langflow.org>"]
maintainers = [

14
src/backend/base/langflow/alembic/versions/012fb73ac359_add_folder_table.py
View file

@ -48,10 +48,12 @@ def upgrade() -> None:
with op.batch_alter_table("folder", schema=None) as batch_op:
batch_op.create_index(batch_op.f("ix_folder_name"), ["name"], unique=False)
if "folder_id" not in inspector.get_columns("flow"):
with op.batch_alter_table("flow", schema=None) as batch_op:
column_names = [column["name"] for column in inspector.get_columns("flow")]
with op.batch_alter_table("flow", schema=None) as batch_op:
if "folder_id" not in column_names:
batch_op.add_column(sa.Column("folder_id", sqlmodel.sql.sqltypes.GUID(), nullable=True))
batch_op.create_foreign_key("flow_folder_id_fkey", "folder", ["folder_id"], ["id"])
if "folder" in column_names:
batch_op.drop_column("folder")
# ### end Alembic commands ###
@ -62,11 +64,13 @@ def downgrade() -> None:
inspector = Inspector.from_engine(conn) # type: ignore
table_names = inspector.get_table_names()
# ### commands auto generated by Alembic - please adjust! ###
if "folder_id" in inspector.get_columns("flow"):
with op.batch_alter_table("flow", schema=None) as batch_op:
column_names = [column["name"] for column in inspector.get_columns("flow")]
with op.batch_alter_table("flow", schema=None) as batch_op:
if "folder" not in column_names:
batch_op.add_column(sa.Column("folder", sa.VARCHAR(), nullable=True))
batch_op.drop_constraint("flow_folder_id_fkey", type_="foreignkey")
if "folder_id" in column_names:
batch_op.drop_column("folder_id")
batch_op.drop_constraint("flow_folder_id_fkey", type_="foreignkey")
indexes = inspector.get_indexes("folder")
if "ix_folder_name" in [index["name"] for index in indexes]:

9
src/backend/base/langflow/alembic/versions/7d2162acc8b2_adds_updated_at_and_folder_cols.py
View file

@ -52,9 +52,14 @@ def upgrade() -> None:
def downgrade() -> None:
# ### commands auto generated by Alembic - please adjust! ###
try:
conn = op.get_bind()
inspector = Inspector.from_engine(conn) # type: ignore
column_names = [column["name"] for column in inspector.get_columns("flow")]
with op.batch_alter_table("flow", schema=None) as batch_op:
batch_op.drop_column("folder")
batch_op.drop_column("updated_at")
if "folder" in column_names:
batch_op.drop_column("folder")
if "updated_at" in column_names:
batch_op.drop_column("updated_at")
except Exception as e:
print(e)
pass

2
src/backend/base/langflow/api/utils.py
View file

@ -286,7 +286,7 @@ async def get_next_runnable_vertices(
for v_id in set(next_runnable_vertices): # Use set to avoid duplicates
graph.vertices_to_run.remove(v_id)
graph.remove_from_predecessors(v_id)
await chat_service.set_cache(flow_id=flow_id, data=graph, lock=lock)
await chat_service.set_cache(key=flow_id, data=graph, lock=lock)
return next_runnable_vertices

4
src/backend/base/langflow/api/v1/chat.py
View file

@ -1,6 +1,5 @@
import time
import uuid
from functools import partial
from typing import TYPE_CHECKING, Annotated, Optional
from fastapi import APIRouter, BackgroundTasks, Body, Depends, HTTPException
@ -162,7 +161,6 @@ async def build_vertex(
vertex = graph.get_vertex(vertex_id)
try:
lock = chat_service._cache_locks[flow_id_str]
set_cache_coro = partial(chat_service.set_cache, flow_id=flow_id_str)
(
next_runnable_vertices,
top_level_vertices,
@ -173,7 +171,7 @@ async def build_vertex(
vertex,
) = await graph.build_vertex(
lock=lock,
set_cache_coro=set_cache_coro,
chat_service=chat_service,
vertex_id=vertex_id,
user_id=current_user.id,
inputs_dict=inputs.model_dump() if inputs else {},

33
src/backend/base/langflow/api/v1/flows.py
View file

@ -57,8 +57,22 @@ def read_flows(
current_user: User = Depends(get_current_active_user),
session: Session = Depends(get_session),
settings_service: "SettingsService" = Depends(get_settings_service),
remove_example_flows: bool = False,
):
"""Read all flows."""
"""
Retrieve a list of flows.
Args:
current_user (User): The current authenticated user.
session (Session): The database session.
settings_service (SettingsService): The settings service.
remove_example_flows (bool, optional): Whether to remove example flows. Defaults to False.
Returns:
List[Dict]: A list of flows in JSON format.
"""
try:
auth_settings = settings_service.auth_settings
if auth_settings.AUTO_LOGIN:
@ -73,15 +87,16 @@ def read_flows(
flows = validate_is_component(flows) # type: ignore
flow_ids = [flow.id for flow in flows]
# with the session get the flows that DO NOT have a user_id
try:
folder = session.exec(select(Folder).where(Folder.name == STARTER_FOLDER_NAME)).first()
if not remove_example_flows:
try:
folder = session.exec(select(Folder).where(Folder.name == STARTER_FOLDER_NAME)).first()
example_flows = folder.flows if folder else []
for example_flow in example_flows:
if example_flow.id not in flow_ids:
flows.append(example_flow) # type: ignore
except Exception as e:
logger.error(e)
example_flows = folder.flows if folder else []
for example_flow in example_flows:
if example_flow.id not in flow_ids:
flows.append(example_flow) # type: ignore
except Exception as e:
logger.error(e)
except Exception as e:
raise HTTPException(status_code=500, detail=str(e)) from e
return [jsonable_encoder(flow) for flow in flows]

5
src/backend/base/langflow/api/v1/login.py
View file

@ -46,6 +46,7 @@ async def login_to_get_access_token(
samesite=auth_settings.REFRESH_SAME_SITE,
secure=auth_settings.REFRESH_SECURE,
expires=auth_settings.REFRESH_TOKEN_EXPIRE_SECONDS,
domain=auth_settings.COOKIE_DOMAIN,
)
response.set_cookie(
"access_token_lf",
@ -54,6 +55,7 @@ async def login_to_get_access_token(
samesite=auth_settings.ACCESS_SAME_SITE,
secure=auth_settings.ACCESS_SECURE,
expires=auth_settings.ACCESS_TOKEN_EXPIRE_SECONDS,
domain=auth_settings.COOKIE_DOMAIN,
)
variable_service.initialize_user_variables(user.id, db)
# Create default folder for user if it doesn't exist
@ -84,6 +86,7 @@ async def auto_login(
samesite=auth_settings.ACCESS_SAME_SITE,
secure=auth_settings.ACCESS_SECURE,
expires=None, # Set to None to make it a session cookie
domain=auth_settings.COOKIE_DOMAIN,
)
variable_service.initialize_user_variables(user_id, db)
create_default_folder_if_it_doesnt_exist(db, user_id)
@ -117,6 +120,7 @@ async def refresh_token(
samesite=auth_settings.REFRESH_SAME_SITE,
secure=auth_settings.REFRESH_SECURE,
expires=auth_settings.REFRESH_TOKEN_EXPIRE_SECONDS,
domain=auth_settings.COOKIE_DOMAIN,
)
response.set_cookie(
"access_token_lf",
@ -125,6 +129,7 @@ async def refresh_token(
samesite=auth_settings.ACCESS_SAME_SITE,
secure=auth_settings.ACCESS_SECURE,
expires=auth_settings.ACCESS_TOKEN_EXPIRE_SECONDS,
domain=auth_settings.COOKIE_DOMAIN,
)
return tokens
else:

1
src/backend/base/langflow/api/v1/schemas.py
View file

@ -248,6 +248,7 @@ class ResultDataResponse(BaseModel):
artifacts: Optional[Any] = Field(default_factory=dict)
timedelta: Optional[float] = None
duration: Optional[str] = None
used_frozen_result: Optional[bool] = False
class VertexBuildResponse(BaseModel):

0
src/backend/base/langflow/base/curl/__init__.py Normal file
View file

89
src/backend/base/langflow/base/curl/parse.py Normal file
View file

@ -0,0 +1,89 @@
"""
This file contains a fix for the implementation of the `uncurl` library, which is available at https://github.com/spulec/uncurl.git.
The `uncurl` library provides a way to parse and convert cURL commands into Python requests. However, there are some issues with the original implementation that this file aims to fix.
The `parse_context` function in this file takes a cURL command as input and returns a `ParsedContext` object, which contains the parsed information from the cURL command, such as the HTTP method, URL, headers, cookies, etc.
The `normalize_newlines` function is a helper function that replaces the line continuation character ("\") followed by a newline with a space.
"""
import re
import shlex
from collections import OrderedDict, namedtuple
from http.cookies import SimpleCookie
from uncurl.api import parser # type: ignore
parser.add_argument("-x", "--proxy", default={})
parser.add_argument("-U", "--proxy-user", default="")
ParsedContext = namedtuple("ParsedContext", ["method", "url", "data", "headers", "cookies", "verify", "auth", "proxy"])
def normalize_newlines(multiline_text):
return multiline_text.replace(" \\\n", " ")
def parse_context(curl_command):
method = "get"
tokens = shlex.split(normalize_newlines(curl_command))
tokens = [token for token in tokens if token and token != " "]
parsed_args = parser.parse_args(tokens)
post_data = parsed_args.data or parsed_args.data_binary
if post_data:
method = "post"
if parsed_args.X:
method = parsed_args.X.lower()
cookie_dict = OrderedDict()
quoted_headers = OrderedDict()
for curl_header in parsed_args.header:
if curl_header.startswith(":"):
occurrence = [m.start() for m in re.finditer(":", curl_header)]
header_key, header_value = curl_header[: occurrence[1]], curl_header[occurrence[1] + 1 :]
else:
header_key, header_value = curl_header.split(":", 1)
if header_key.lower().strip("$") == "cookie":
cookie = SimpleCookie(bytes(header_value, "ascii").decode("unicode-escape"))
for key in cookie:
cookie_dict[key] = cookie[key].value
else:
quoted_headers[header_key] = header_value.strip()
# add auth
user = parsed_args.user
if parsed_args.user:
user = tuple(user.split(":"))
# add proxy and its authentication if it's available.
proxies = parsed_args.proxy
# proxy_auth = parsed_args.proxy_user
if parsed_args.proxy and parsed_args.proxy_user:
proxies = {
"http": "http://{}@{}/".format(parsed_args.proxy_user, parsed_args.proxy),
"https": "http://{}@{}/".format(parsed_args.proxy_user, parsed_args.proxy),
}
elif parsed_args.proxy:
proxies = {
"http": "http://{}/".format(parsed_args.proxy),
"https": "http://{}/".format(parsed_args.proxy),
}
return ParsedContext(
method=method,
url=parsed_args.url,
data=post_data,
headers=quoted_headers,
cookies=cookie_dict,
verify=parsed_args.insecure,
auth=user,
proxy=proxies,
)

52
src/backend/base/langflow/components/data/APIRequest.py
View file

@ -1,11 +1,15 @@
import asyncio
import json
from typing import List, Optional
from typing import Any, List, Optional
import httpx
from loguru import logger
from langflow.base.curl.parse import parse_context
from langflow.custom import CustomComponent
from langflow.field_typing import NestedDict
from langflow.schema import Record
from langflow.schema.dotdict import dotdict
class APIRequest(CustomComponent):
@ -17,10 +21,15 @@ class APIRequest(CustomComponent):
field_config = {
"urls": {"display_name": "URLs", "info": "URLs to make requests to."},
"curl": {
"display_name": "Curl",
"info": "Paste a curl command to populate the fields.",
"refresh_button": True,
"refresh_button_text": "",
},
"method": {
"display_name": "Method",
"info": "The HTTP method to use.",
"field_type": "str",
"options": ["GET", "POST", "PATCH", "PUT"],
"value": "GET",
},
@ -36,12 +45,33 @@ class APIRequest(CustomComponent):
},
"timeout": {
"display_name": "Timeout",
"field_type": "int",
"info": "The timeout to use for the request.",
"value": 5,
},
}
def parse_curl(self, curl: str, build_config: dotdict) -> dotdict:
try:
parsed = parse_context(curl)
build_config["urls"]["value"] = [parsed.url]
build_config["method"]["value"] = parsed.method.upper()
build_config["headers"]["value"] = dict(parsed.headers)
try:
json_data = json.loads(parsed.data)
build_config["body"]["value"] = json_data
except json.JSONDecodeError as e:
print(e)
except Exception as exc:
logger.error(f"Error parsing curl: {exc}")
raise ValueError(f"Error parsing curl: {exc}")
return build_config
def update_build_config(self, build_config: dotdict, field_value: Any, field_name: str | None = None):
if field_name == "curl" and field_value is not None:
build_config = self.parse_curl(field_value, build_config)
return build_config
async def make_request(
self,
client: httpx.AsyncClient,
@ -94,21 +124,25 @@ class APIRequest(CustomComponent):
self,
method: str,
urls: List[str],
headers: Optional[Record] = None,
body: Optional[Record] = None,
curl: Optional[str] = None,
headers: Optional[NestedDict] = {},
body: Optional[NestedDict] = {},
timeout: int = 5,
) -> List[Record]:
if headers is None:
headers_dict = {}
else:
elif isinstance(headers, Record):
headers_dict = headers.data
else:
headers_dict = headers
bodies = []
if body:
if isinstance(body, list):
bodies = [b.data for b in body]
if not isinstance(body, list):
bodies = [body]
else:
bodies = [body.data]
bodies = body
bodies = [b.data if isinstance(b, Record) else b for b in bodies] # type: ignore
if len(urls) != len(bodies):
# add bodies with None

2
src/backend/base/langflow/components/experimental/SplitText.py
View file

@ -43,7 +43,7 @@ class SplitTextComponent(CustomComponent):
chunks = [chunk[:truncate_size] for chunk in chunks]
for chunk in chunks:
outputs.append(Record(text=chunk, data={"parent": text}))
outputs.append(Record(data={"parent": text, "text": chunk}))
self.status = outputs
return outputs

73
src/backend/base/langflow/components/models/OllamaModel.py
View file

@ -1,21 +1,11 @@
from typing import Any, Dict, List, Optional, Union
from langchain_community.chat_models.ollama import ChatOllama
from langflow.base.constants import STREAM_INFO_TEXT
from langflow.base.models.model import LCModelComponent
from langchain_core.caches import BaseCache
from langflow.field_typing import Text
import asyncio
import json
from typing import Any, Dict, List, Optional
import httpx
from langchain_community.chat_models.ollama import ChatOllama
from langflow.base.constants import STREAM_INFO_TEXT
from langflow.base.models.model import LCModelComponent
from langflow.field_typing import Text
class ChatOllamaComponent(LCModelComponent):
@ -26,18 +16,12 @@ class ChatOllamaComponent(LCModelComponent):
field_order = [
"base_url",
"headers",
"keep_alive_flag",
"keep_alive",
"metadata",
"model",
"temperature",
"cache",
"format",
"metadata",
"mirostat",
@ -67,10 +51,7 @@ class ChatOllamaComponent(LCModelComponent):
"base_url": {
"display_name": "Base URL",
"info": "Endpoint of the Ollama API. Defaults to 'http://localhost:11434' if not specified.",
},
"format": {
"display_name": "Format",
"info": "Specify the format of the output (e.g., json)",
@ -79,13 +60,10 @@ class ChatOllamaComponent(LCModelComponent):
"headers": {
"display_name": "Headers",
"advanced": True,
},
"keep_alive_flag": {
"display_name": "Unload interval",
"options": ["Keep", "Immediately","Minute", "Hour", "sec" ],
"options": ["Keep", "Immediately", "Minute", "Hour", "sec"],
"real_time_refresh": True,
"refresh_button": True,
},
@ -93,9 +71,6 @@ class ChatOllamaComponent(LCModelComponent):
"display_name": "interval",
"info": "How long the model will stay loaded into memory.",
},
"model": {
"display_name": "Model Name",
"options": [],
@ -109,14 +84,6 @@ class ChatOllamaComponent(LCModelComponent):
"value": 0.8,
"info": "Controls the creativity of model responses.",
},
"format": {
"display_name": "Format",
"field_type": "str",
"info": "Specify the format of the output (e.g., json).",
"advanced": True,
},
"metadata": {
"display_name": "Metadata",
"info": "Metadata to add to the run trace.",
@ -129,7 +96,6 @@ class ChatOllamaComponent(LCModelComponent):
"advanced": False,
"real_time_refresh": True,
"refresh_button": True,
},
"mirostat_eta": {
"display_name": "Mirostat Eta",
@ -260,10 +226,14 @@ class ChatOllamaComponent(LCModelComponent):
build_config["mirostat_tau"]["value"] = 5
if field_name == "model":
base_url = build_config.get("base_url", {}).get(
"value", "http://localhost:11434")
build_config["model"]["options"] = self.get_model(
base_url + "/api/tags")
base_url_dict = build_config.get("base_url", {})
base_url_load_from_db = base_url_dict.get("load_from_db", False)
base_url_value = base_url_dict.get("value")
if base_url_load_from_db:
base_url_value = self.variables(base_url_value)
elif not base_url_value:
base_url_value = "http://localhost:11434"
build_config["model"]["options"] = self.get_model(base_url_value + "/api/tags")
if field_name == "keep_alive_flag":
if field_value == "Keep":
@ -276,9 +246,6 @@ class ChatOllamaComponent(LCModelComponent):
build_config["keep_alive"]["advanced"] = False
return build_config
def get_model(self, url: str) -> List[str]:
try:
@ -287,8 +254,7 @@ class ChatOllamaComponent(LCModelComponent):
response.raise_for_status()
data = response.json()
model_names = [model['name']
for model in data.get("models", [])]
model_names = [model["name"] for model in data.get("models", [])]
return model_names
except Exception as e:
raise ValueError("Could not retrieve models") from e
@ -299,15 +265,13 @@ class ChatOllamaComponent(LCModelComponent):
base_url: Optional[str],
model: str,
input_value: Text,
mirostat: Optional[str],
mirostat: Optional[str] = "Disabled",
mirostat_eta: Optional[float] = None,
mirostat_tau: Optional[float] = None,
repeat_last_n: Optional[int] = None,
verbose: Optional[bool] = None,
keep_alive: Optional[int] = None,
keep_alive_flag: Optional[str] = None,
keep_alive_flag: Optional[str] = "Keep",
num_ctx: Optional[int] = None,
num_gpu: Optional[int] = None,
format: Optional[str] = None,
@ -326,12 +290,9 @@ class ChatOllamaComponent(LCModelComponent):
stream: bool = False,
system_message: Optional[str] = None,
) -> Text:
if not base_url:
base_url = "http://localhost:11434"
if keep_alive_flag == "Minute":
keep_alive_instance = f"{keep_alive}m"
elif keep_alive_flag == "Hour":

9
src/backend/base/langflow/components/vectorstores/Qdrant.py
View file

@ -67,22 +67,19 @@ class QdrantComponent(CustomComponent):
documents.append(_input.to_lc_document())
else:
documents.append(_input)
if documents is None:
if not documents:
from qdrant_client import QdrantClient
client = QdrantClient(
location=location,
url=host,
url=url,
port=port,
grpc_port=grpc_port,
https=https,
prefix=prefix,
timeout=timeout,
prefer_grpc=prefer_grpc,
metadata_payload_key=metadata_payload_key,
content_payload_key=content_payload_key,
api_key=api_key,
collection_name=collection_name,
host=host,
path=path,
)
@ -90,6 +87,8 @@ class QdrantComponent(CustomComponent):
client=client,
collection_name=collection_name,
embeddings=embedding,
content_payload_key=content_payload_key,
metadata_payload_key=metadata_payload_key,
)
return vs
else:

31
src/backend/base/langflow/graph/graph/base.py
View file

@ -17,6 +17,8 @@ from langflow.graph.vertex.base import Vertex
from langflow.graph.vertex.types import InterfaceVertex, StateVertex
from langflow.schema import Record
from langflow.schema.schema import INPUT_FIELD_NAME, InputType
from langflow.services.cache.utils import CacheMiss
from langflow.services.chat.service import ChatService
from langflow.services.deps import get_chat_service
if TYPE_CHECKING:
@ -704,7 +706,7 @@ class Graph:
async def build_vertex(
self,
lock: asyncio.Lock,
set_cache_coro: Callable[["Graph", asyncio.Lock], Coroutine],
chat_service: ChatService,
vertex_id: str,
inputs_dict: Optional[Dict[str, str]] = None,
user_id: Optional[str] = None,
@ -729,17 +731,35 @@ class Graph:
"""
vertex = self.get_vertex(vertex_id)
try:
if not vertex.frozen or not vertex._built:
params = ""
if vertex.frozen:
# Check the cache for the vertex
cached_result = await chat_service.get_cache(key=vertex.id)
if isinstance(cached_result, CacheMiss):
await vertex.build(user_id=user_id, inputs=inputs_dict, fallback_to_env_vars=fallback_to_env_vars)
await chat_service.set_cache(key=vertex.id, data=vertex)
else:
cached_vertex = cached_result["result"]
# Now set update the vertex with the cached vertex
vertex._built = cached_vertex._built
vertex.result = cached_vertex.result
vertex.artifacts = cached_vertex.artifacts
vertex._built_object = cached_vertex._built_object
vertex._custom_component = cached_vertex._custom_component
if vertex.result is not None:
vertex.result.used_frozen_result = True
else:
await vertex.build(user_id=user_id, inputs=inputs_dict, fallback_to_env_vars=fallback_to_env_vars)
if vertex.result is not None:
params = vertex._built_object_repr()
params = f"{vertex._built_object_repr()}{params}"
valid = True
result_dict = vertex.result
artifacts = vertex.artifacts
else:
raise ValueError(f"No result found for vertex {vertex_id}")
set_cache_coro = partial(chat_service.set_cache, key=self.flow_id)
next_runnable_vertices, top_level_vertices = await self.get_next_and_top_level_vertices(
lock, set_cache_coro, vertex
)
@ -810,11 +830,10 @@ class Graph:
for vertex_id in current_batch:
vertex = self.get_vertex(vertex_id)
lock = chat_service._cache_locks[self.run_id]
set_cache_coro = partial(chat_service.set_cache, flow_id=self.run_id)
task = asyncio.create_task(
self.build_vertex(
lock=lock,
set_cache_coro=set_cache_coro,
chat_service=chat_service,
vertex_id=vertex_id,
user_id=self.user_id,
inputs_dict={},

1
src/backend/base/langflow/graph/schema.py
View file

@ -15,6 +15,7 @@ class ResultData(BaseModel):
duration: Optional[str] = None
component_display_name: Optional[str] = None
component_id: Optional[str] = None
used_frozen_result: Optional[bool] = False
@field_serializer("results")
def serialize_results(self, value):

7
src/backend/base/langflow/main.py
View file

@ -34,7 +34,12 @@ class JavaScriptMIMETypeMiddleware(BaseHTTPMiddleware):
def get_lifespan(fix_migration=False, socketio_server=None):
from langflow.version import __version__ # type: ignore
try:
from langflow.version import __version__ # type: ignore
except ImportError:
from importlib.metadata import version
__version__ = version("langflow-base")
@asynccontextmanager
async def lifespan(app: FastAPI):

15
src/backend/base/langflow/services/cache/service.py vendored
View file

@ -9,6 +9,9 @@ from loguru import logger
from langflow.services.base import Service
from langflow.services.cache.base import AsyncBaseCacheService, CacheService
from langflow.services.cache.utils import CacheMiss
CACHE_MISS = CacheMiss()
class ThreadingInMemoryCache(CacheService, Service):
@ -341,12 +344,14 @@ class AsyncInMemoryCache(AsyncBaseCacheService, Service):
async def _get(self, key):
item = self.cache.get(key, None)
if item and (time.time() - item["time"] < self.expiration_time):
self.cache.move_to_end(key)
return pickle.loads(item["value"]) if isinstance(item["value"], bytes) else item["value"]
if item:
await self.delete(key)
return None
if time.time() - item["time"] < self.expiration_time:
self.cache.move_to_end(key)
return pickle.loads(item["value"]) if isinstance(item["value"], bytes) else item["value"]
else:
logger.info(f"Cache item for key '{key}' has expired and will be deleted.")
await self.delete(key) # Log before deleting the expired item
return CACHE_MISS
async def set(self, key, value, lock: Optional[asyncio.Lock] = None):
if not lock:

5
src/backend/base/langflow/services/cache/utils.py vendored
View file

@ -19,6 +19,11 @@ CACHE_DIR = user_cache_dir("langflow", "langflow")
PREFIX = "langflow_cache"
class CacheMiss:
def __repr__(self):
return "<CACHE_MISS>"
def create_cache_folder(func):
def wrapper(*args, **kwargs):
# Get the destination folder

14
src/backend/base/langflow/services/chat/service.py
View file

@ -13,7 +13,7 @@ class ChatService(Service):
self._cache_locks = defaultdict(asyncio.Lock)
self.cache_service = get_cache_service()
async def set_cache(self, flow_id: str, data: Any, lock: Optional[asyncio.Lock] = None) -> bool:
async def set_cache(self, key: str, data: Any, lock: Optional[asyncio.Lock] = None) -> bool:
"""
Set the cache for a client.
"""
@ -23,17 +23,17 @@ class ChatService(Service):
"result": data,
"type": type(data),
}
await self.cache_service.upsert(flow_id, result_dict, lock=lock or self._cache_locks[flow_id])
return flow_id in self.cache_service
await self.cache_service.upsert(key, result_dict, lock=lock or self._cache_locks[key])
return key in self.cache_service
async def get_cache(self, flow_id: str, lock: Optional[asyncio.Lock] = None) -> Any:
async def get_cache(self, key: str, lock: Optional[asyncio.Lock] = None) -> Any:
"""
Get the cache for a client.
"""
return await self.cache_service.get(flow_id, lock=lock or self._cache_locks[flow_id])
return await self.cache_service.get(key, lock=lock or self._cache_locks[key])
async def clear_cache(self, flow_id: str, lock: Optional[asyncio.Lock] = None):
async def clear_cache(self, key: str, lock: Optional[asyncio.Lock] = None):
"""
Clear the cache for a client.
"""
await self.cache_service.delete(flow_id, lock=lock or self._cache_locks[flow_id])
await self.cache_service.delete(key, lock=lock or self._cache_locks[key])

3
src/backend/base/langflow/services/settings/auth.py
View file

@ -47,6 +47,9 @@ class AuthSettings(BaseSettings):
ACCESS_HTTPONLY: bool = False
"""The HttpOnly attribute of the access token cookie."""
COOKIE_DOMAIN: str | None = None
"""The domain attribute of the cookies. If None, the domain is not set."""
pwd_context: CryptContext = CryptContext(schemes=["bcrypt"], deprecated="auto")
class Config:

8
src/backend/base/langflow/services/settings/base.py
View file

@ -146,7 +146,13 @@ class Settings(BaseSettings):
# if there is a database in that location
if not info.data["config_dir"]:
raise ValueError("config_dir not set, please set it or provide a database_url")
from langflow.version import is_pre_release # type: ignore
try:
from langflow.version import is_pre_release # type: ignore
except ImportError:
from importlib import metadata
version = metadata.version("langflow-base")
is_pre_release = "a" in version or "b" in version or "rc" in version
if info.data["save_db_in_config_dir"]:
database_dir = info.data["config_dir"]

185
src/backend/base/poetry.lock generated
View file

@ -2104,18 +2104,18 @@ files = [
[[package]]
name = "pydantic"
version = "2.7.1"
version = "2.7.2"
description = "Data validation using Python type hints"
optional = false
python-versions = ">=3.8"
files = [
{file = "pydantic-2.7.1-py3-none-any.whl", hash = "sha256:e029badca45266732a9a79898a15ae2e8b14840b1eabbb25844be28f0b33f3d5"},
{file = "pydantic-2.7.1.tar.gz", hash = "sha256:e9dbb5eada8abe4d9ae5f46b9939aead650cd2b68f249bb3a8139dbe125803cc"},
{file = "pydantic-2.7.2-py3-none-any.whl", hash = "sha256:834ab954175f94e6e68258537dc49402c4a5e9d0409b9f1b86b7e934a8372de7"},
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]
[package.dependencies]
annotated-types = ">=0.4.0"
pydantic-core = "2.18.2"
pydantic-core = "2.18.3"
typing-extensions = ">=4.6.1"
[package.extras]
@ -2123,90 +2123,90 @@ email = ["email-validator (>=2.0.0)"]
[[package]]
name = "pydantic-core"
version = "2.18.2"
version = "2.18.3"
description = "Core functionality for Pydantic validation and serialization"
optional = false
python-versions = ">=3.8"
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{file = "pydantic_core-2.18.3-pp39-pypy39_pp73-win_amd64.whl", hash = "sha256:ff58f379345603d940e461eae474b6bbb6dab66ed9a851ecd3cb3709bf4dcf6a"},
{file = "pydantic_core-2.18.3.tar.gz", hash = "sha256:432e999088d85c8f36b9a3f769a8e2b57aabd817bbb729a90d1fe7f18f6f1f39"},
]
[package.dependencies]
@ -2856,6 +2856,21 @@ files = [
{file = "ujson-5.10.0.tar.gz", hash = "sha256:b3cd8f3c5d8c7738257f1018880444f7b7d9b66232c64649f562d7ba86ad4bc1"},
]
[[package]]
name = "uncurl"
version = "0.0.11"
description = "A library to convert curl requests to python-requests."
optional = false
python-versions = "*"
files = [
{file = "uncurl-0.0.11-py3-none-any.whl", hash = "sha256:5961e93f07a5c9f2ef8ae4245bd92b0a6ce503c851de980f5b70080ae74cdc59"},
{file = "uncurl-0.0.11.tar.gz", hash = "sha256:530c9bbd4d118f4cde6194165ff484cc25b0661cd256f19e9d5fcb53fc077790"},
]
[package.dependencies]
pyperclip = "*"
six = "*"
[[package]]
name = "urllib3"
version = "2.2.1"
@ -3250,4 +3265,4 @@ local = []
[metadata]
lock-version = "2.0"
python-versions = ">=3.10,<3.13"
content-hash = "31d8e5ce045ef7d94e63058559b5f8181e6b51fc923c4904f45481443d59235d"
content-hash = "1dc0dd442df5d174ea85c859208f5cfea9d4785c7b7a93f2c6bf8c92e93d8cad"

3
src/backend/base/pyproject.toml
View file

@ -1,6 +1,6 @@
[tool.poetry]
name = "langflow-base"
version = "0.0.50"
version = "0.0.53"
description = "A Python package with a built-in web application"
authors = ["Langflow <contact@langflow.org>"]
maintainers = [
@ -62,6 +62,7 @@ emoji = "^2.12.0"
cryptography = "^42.0.5"
asyncer = "^0.0.5"
pyperclip = "^1.8.2"
uncurl = "^0.0.11"
[tool.poetry.extras]

1
src/frontend/src/App.tsx
View file

@ -120,7 +120,6 @@ export default function App() {
await getFoldersApi();
await getTypes();
await refreshFlows();
console.log(axios.defaults);
const res = await getGlobalVariables();
setGlobalVariables(res);
checkHasStore();

4
src/frontend/src/components/codeTabsComponent/index.tsx
View file

@ -841,9 +841,7 @@ export default function CodeTabsComponent({
node.data.node!.template[
templateField
].value?.toString() === "{}"
? {
// yourkey: "value",
}
? {}
: node.data.node!
.template[
templateField

8
src/frontend/src/components/dictComponent/index.tsx
View file

@ -12,6 +12,9 @@ export default function DictComponent({
editNode = false,
id = "",
}: DictComponentType): JSX.Element {
// Create a reference to the value
const ref = useRef(value);
useEffect(() => {
if (disabled) {
onChange({});
@ -19,10 +22,9 @@ export default function DictComponent({
}, [disabled]);
useEffect(() => {
if (value) onChange(value);
// Update the reference value
ref.current = value;
}, [value]);
const ref = useRef(value);
return (
<div
className={classNames(

4
src/frontend/src/components/headerComponent/index.tsx
View file

@ -56,7 +56,7 @@ export default function Header(): JSX.Element {
const lastFlowVisitedIndex = routeHistory
.reverse()
.findIndex(
(path) => path.includes("/flow/") && path !== location.pathname,
(path) => path.includes("/flow/") && path !== location.pathname
);
const lastFlowVisited = routeHistory[lastFlowVisitedIndex];
@ -181,7 +181,7 @@ export default function Header(): JSX.Element {
/>
</div>
</AlertDropdown>
{!autoLogin && (
{autoLogin && (
<button
onClick={() => {
navigate("/account/api-keys");

2
src/frontend/src/components/inputFileComponent/index.tsx
View file

@ -66,10 +66,8 @@ export default function InputFileComponent({
uploadFile(file, currentFlowId)
.then((res) => res.data)
.then((data) => {
console.log(CONSOLE_SUCCESS_MSG);
// Get the file name from the response
const { file_path } = data;
console.log("File name:", file_path);
// sets the value that goes to the backend
onFileChange(file_path);

2
src/frontend/src/components/sidebarComponent/components/sideBarFolderButtons/index.tsx
View file

@ -91,7 +91,7 @@ const SideBarFoldersButtonsComponent = ({
folders.map((obj) => ({ name: obj.name, edit: false }));
}, [folders]);
console.log(folderId, folderIdDragging);
return (
<>

6
src/frontend/src/customNodes/genericNode/components/parameterComponent/index.tsx
View file

@ -238,7 +238,7 @@ export default function ParameterComponent({
(left ? "" : " justify-end")
}
>
<Case condition={left && data.node?.frozen}>
<Case condition={!left && data.node?.frozen}>
<div className="pr-1">
<IconComponent className="h-5 w-5 text-ice" name={"Snowflake"} />
</div>
@ -547,9 +547,7 @@ export default function ParameterComponent({
value={
!data.node!.template[name]?.value ||
data.node!.template[name]?.value?.toString() === "{}"
? {
// yourkey: "value",
}
? {}
: data.node!.template[name]?.value
}
onChange={handleOnNewValue}

53
src/frontend/src/customNodes/genericNode/index.tsx
View file

@ -10,7 +10,6 @@ import Loading from "../../components/ui/loading";
import { Textarea } from "../../components/ui/textarea";
import Xmark from "../../components/ui/xmark";
import {
NATIVE_CATEGORIES,
RUN_TIMESTAMP_PREFIX,
STATUS_BUILD,
STATUS_BUILDING,
@ -28,9 +27,9 @@ import { NodeDataType } from "../../types/flow";
import { handleKeyDown, scapedJSONStringfy } from "../../utils/reactflowUtils";
import { nodeColors, nodeIconsLucide } from "../../utils/styleUtils";
import { classNames, cn } from "../../utils/utils";
import ParameterComponent from "./components/parameterComponent";
import getFieldTitle from "../utils/get-field-title";
import sortFields from "../utils/sort-fields";
import ParameterComponent from "./components/parameterComponent";
export default function GenericNode({
data,
@ -56,14 +55,14 @@ export default function GenericNode({
const [nodeName, setNodeName] = useState(data.node!.display_name);
const [inputDescription, setInputDescription] = useState(false);
const [nodeDescription, setNodeDescription] = useState(
data.node?.description!,
data.node?.description!
);
const [isOutdated, setIsOutdated] = useState(false);
const buildStatus = useFlowStore(
(state) => state.flowBuildStatus[data.id]?.status,
(state) => state.flowBuildStatus[data.id]?.status
);
const lastRunTime = useFlowStore(
(state) => state.flowBuildStatus[data.id]?.timestamp,
(state) => state.flowBuildStatus[data.id]?.timestamp
);
const [validationStatus, setValidationStatus] =
useState<validationStatusType | null>(null);
@ -77,18 +76,14 @@ export default function GenericNode({
// This one should run only once
// first check if data.type in NATIVE_CATEGORIES
// if not return
if (
!NATIVE_CATEGORIES.includes(types[data.type]) ||
!data.node?.template?.code?.value
)
return;
if (!data.node?.template?.code?.value) return;
const thisNodeTemplate = templates[data.type].template;
// if the template does not have a code key
// return
if (!thisNodeTemplate.code) return;
const currentCode = thisNodeTemplate.code?.value;
const thisNodesCode = data.node!.template?.code?.value;
const componentsToIgnore = ["Custom Component", "Prompt"];
const componentsToIgnore = ["Custom Component"];
if (
currentCode !== thisNodesCode &&
!componentsToIgnore.includes(data.node!.display_name)
@ -120,7 +115,7 @@ export default function GenericNode({
updateNodeInternals(data.id);
},
[data.id, data.node, setNode, setIsOutdated],
[data.id, data.node, setNode, setIsOutdated]
);
if (!data.node!.template) {
@ -260,7 +255,7 @@ export default function GenericNode({
const isDark = useDarkStore((state) => state.dark);
const renderIconStatus = (
buildStatus: BuildStatus | undefined,
validationStatus: validationStatusType | null,
validationStatus: validationStatusType | null
) => {
if (buildStatus === BuildStatus.BUILDING) {
return <Loading className="text-medium-indigo" />;
@ -301,7 +296,7 @@ export default function GenericNode({
};
const getSpecificClassFromBuildStatus = (
buildStatus: BuildStatus | undefined,
validationStatus: validationStatusType | null,
validationStatus: validationStatusType | null
) => {
let isInvalid = validationStatus && !validationStatus.valid;
@ -325,25 +320,29 @@ export default function GenericNode({
selected: boolean,
showNode: boolean,
buildStatus: BuildStatus | undefined,
validationStatus: validationStatusType | null,
validationStatus: validationStatusType | null
) => {
const specificClassFromBuildStatus = getSpecificClassFromBuildStatus(
buildStatus,
validationStatus,
validationStatus
);
const baseBorderClass = getBaseBorderClass(selected);
const nodeSizeClass = getNodeSizeClass(showNode);
return classNames(
const names = classNames(
baseBorderClass,
nodeSizeClass,
"generic-node-div",
specificClassFromBuildStatus,
specificClassFromBuildStatus
);
return names;
};
const getBaseBorderClass = (selected) =>
selected ? "border border-ring" : "border";
const getBaseBorderClass = (selected) => {
let className = selected ? "border border-ring" : "border";
let frozenClass = selected ? "border-ring-frozen" : "border-frozen";
return data.node?.frozen ? frozenClass : className;
};
const getNodeSizeClass = (showNode) =>
showNode ? "w-96 rounded-lg" : "w-26 h-26 rounded-full";
@ -394,7 +393,7 @@ export default function GenericNode({
selected,
showNode,
buildStatus,
validationStatus,
validationStatus
)}
>
{data.node?.beta && showNode && (
@ -539,7 +538,7 @@ export default function GenericNode({
}
title={getFieldTitle(
data.node?.template!,
templateField,
templateField
)}
info={data.node?.template[templateField].info}
name={templateField}
@ -567,7 +566,7 @@ export default function GenericNode({
proxy={data.node?.template[templateField].proxy}
showNode={showNode}
/>
),
)
)}
<ParameterComponent
key={scapedJSONStringfy({
@ -724,7 +723,7 @@ export default function GenericNode({
!data.node?.description) &&
nameEditable
? "font-light italic"
: "",
: ""
)}
onDoubleClick={(e) => {
setInputDescription(true);
@ -786,13 +785,13 @@ export default function GenericNode({
}
title={getFieldTitle(
data.node?.template!,
templateField,
templateField
)}
info={data.node?.template[templateField].info}
name={templateField}
tooltipTitle={
data.node?.template[templateField].input_types?.join(
"\n",
"\n"
) ?? data.node?.template[templateField].type
}
required={data.node!.template[templateField].required}
@ -819,7 +818,7 @@ export default function GenericNode({
<div
className={classNames(
Object.keys(data.node!.template).length < 1 ? "hidden" : "",
"flex-max-width justify-center",
"flex-max-width justify-center"
)}
>
{" "}

1
src/frontend/src/modals/IOModal/components/IOFieldView/components/FileInput/index.tsx
View file

@ -84,7 +84,6 @@ export default function IOFileInput({ field, updateValue }: IOFileInputProps) {
uploadFile(file, currentFlowId)
.then((res) => res.data)
.then((data) => {
console.log("File uploaded successfully");
// Get the file name from the response
const { file_path, flowId } = data;
setFilePath(file_path);

2
src/frontend/src/modals/apiModal/utils/get-curl-code.tsx
View file

@ -21,6 +21,6 @@ export default function getCurlCode(
-d '{"input_value": "message",
"output_type": "chat",
"input_type": "chat",
"tweaks": ${JSON.stringify(tweaksObject, null, 2)}'
"tweaks": ${JSON.stringify(tweaksObject, null, 2)}}'
`;
}

74
src/frontend/src/modals/apiModal/utils/get-python-api-code.tsx
View file

@ -8,51 +8,51 @@
export default function getPythonApiCode(
flowId: string,
isAuth: boolean,
tweaksBuildedObject,
tweaksBuildedObject
): string {
const tweaksObject = tweaksBuildedObject[0];
return `import requests
from typing import Optional
from typing import Optional
BASE_API_URL = "${window.location.protocol}//${window.location.host}/api/v1/run"
FLOW_ID = "${flowId}"
# You can tweak the flow by adding a tweaks dictionary
# e.g {"OpenAI-XXXXX": {"model_name": "gpt-4"}}
TWEAKS = ${JSON.stringify(tweaksObject, null, 2)}
BASE_API_URL = "${window.location.protocol}//${window.location.host}/api/v1/run"
FLOW_ID = "${flowId}"
# You can tweak the flow by adding a tweaks dictionary
# e.g {"OpenAI-XXXXX": {"model_name": "gpt-4"}}
TWEAKS = ${JSON.stringify(tweaksObject, null, 2)}
def run_flow(message: str,
flow_id: str,
output_type: str = "chat",
input_type: str = "chat",
tweaks: Optional[dict] = None,
api_key: Optional[str] = None) -> dict:
"""
Run a flow with a given message and optional tweaks.
def run_flow(message: str,
flow_id: str,
output_type: str = "chat",
input_type: str = "chat",
tweaks: Optional[dict] = None,
api_key: Optional[str] = None) -> dict:
"""
Run a flow with a given message and optional tweaks.
:param message: The message to send to the flow
:param flow_id: The ID of the flow to run
:param tweaks: Optional tweaks to customize the flow
:return: The JSON response from the flow
"""
api_url = f"{BASE_API_URL}/{flow_id}"
:param message: The message to send to the flow
:param flow_id: The ID of the flow to run
:param tweaks: Optional tweaks to customize the flow
:return: The JSON response from the flow
"""
api_url = f"{BASE_API_URL}/{flow_id}"
payload = {
"input_value": message,
"output_type": output_type,
"input_type": input_type,
}
headers = None
if tweaks:
payload["tweaks"] = tweaks
if api_key:
headers = {"x-api-key": api_key}
response = requests.post(api_url, json=payload, headers=headers)
return response.json()
payload = {
"input_value": message,
"output_type": output_type,
"input_type": input_type,
}
headers = None
if tweaks:
payload["tweaks"] = tweaks
if api_key:
headers = {"x-api-key": api_key}
response = requests.post(api_url, json=payload, headers=headers)
return response.json()
# Setup any tweaks you want to apply to the flow
message = "message"
${!isAuth ? `api_key = "<your api key>"` : ""}
print(run_flow(message=message, flow_id=FLOW_ID, tweaks=TWEAKS${
# Setup any tweaks you want to apply to the flow
message = "message"
${!isAuth ? `api_key = "<your api key>"` : ""}
print(run_flow(message=message, flow_id=FLOW_ID, tweaks=TWEAKS${
!isAuth ? `, api_key=api_key` : ""
}))`;
}

12
src/frontend/src/modals/apiModal/utils/get-python-code.tsx
View file

@ -6,15 +6,15 @@
*/
export default function getPythonCode(
flowName: string,
tweaksBuildedObject,
tweaksBuildedObject
): string {
const tweaksObject = tweaksBuildedObject[0];
return `from langflow.load import run_flow_from_json
TWEAKS = ${JSON.stringify(tweaksObject, null, 2)}
TWEAKS = ${JSON.stringify(tweaksObject, null, 2)}
result = run_flow_from_json(flow="${flowName}.json",
input_value="message",
fallback_to_env_vars=True, # False by default
tweaks=TWEAKS)`;
result = run_flow_from_json(flow="${flowName}.json",
input_value="message",
fallback_to_env_vars=True, # False by default
tweaks=TWEAKS)`;
}

2
src/frontend/src/modals/dictAreaModal/index.tsx
View file

@ -29,7 +29,7 @@ export default function DictAreaModal({
useEffect(() => {
if (value) ref.current = value;
}, [ref]);
}, [value]);
return (
<BaseModal size="medium-h-full" open={open} setOpen={setOpen}>

46
src/frontend/src/modals/editNodeModal/index.tsx
View file

@ -43,19 +43,23 @@ import BaseModal from "../baseModal";
const EditNodeModal = forwardRef(
(
{
data,
nodeLength,
open,
setOpen,
data,
}: {
data: NodeDataType;
nodeLength: number;
open: boolean;
setOpen: (open: boolean) => void;
data: NodeDataType;
},
ref,
ref
) => {
const [myData, setMyData] = useState(data);
const nodes = useFlowStore((state) => state.nodes);
const dataFromStore = nodes.find((node) => node.id === node.id)?.data;
const [myData, setMyData] = useState(dataFromStore ?? data);
const edges = useFlowStore((state) => state.edges);
const setNode = useFlowStore((state) => state.setNode);
@ -121,7 +125,7 @@ const EditNodeModal = forwardRef(
"edit-node-modal-box",
nodeLength > limitScrollFieldsModal
? "overflow-scroll overflow-x-hidden custom-scroll"
: "",
: ""
)}
>
{nodeLength > 0 && (
@ -143,8 +147,8 @@ const EditNodeModal = forwardRef(
templateParam.charAt(0) !== "_" &&
myData.node?.template[templateParam].show &&
LANGFLOW_SUPPORTED_TYPES.has(
myData.node!.template[templateParam].type,
),
myData.node!.template[templateParam].type
)
)
.map((templateParam, index) => {
let id = {
@ -166,8 +170,8 @@ const EditNodeModal = forwardRef(
myData.node?.template[templateParam]
.proxy,
}
: id,
),
: id
)
) ?? false;
return (
<TableRow
@ -229,7 +233,7 @@ const EditNodeModal = forwardRef(
onChange={(value: string[]) => {
handleOnNewValue(
value,
templateParam,
templateParam
);
}}
/>
@ -253,11 +257,11 @@ const EditNodeModal = forwardRef(
.value ?? ""
}
onChange={(
value: string | string[],
value: string | string[]
) => {
handleOnNewValue(
value,
templateParam,
templateParam
);
}}
/>
@ -297,9 +301,7 @@ const EditNodeModal = forwardRef(
myData.node!.template[
templateParam
]?.value?.toString() === "{}"
? {
// yourkey: "value",
}
? {}
: myData.node!.template[templateParam]
.value
}
@ -309,7 +311,7 @@ const EditNodeModal = forwardRef(
].value = newValue;
handleOnNewValue(
newValue,
templateParam,
templateParam
);
}}
id="editnode-div-dict-input"
@ -326,7 +328,7 @@ const EditNodeModal = forwardRef(
myData.node!.template[templateParam].value
?.length > 1
? "my-3"
: "",
: ""
)}
>
<KeypairListComponent
@ -342,7 +344,7 @@ const EditNodeModal = forwardRef(
myData.node!.template[
templateParam
].value,
type(templateParam)!,
type(templateParam)!
)
}
duplicateKey={errorDuplicateKey}
@ -353,11 +355,11 @@ const EditNodeModal = forwardRef(
templateParam
].value = valueToNumbers;
setErrorDuplicateKey(
hasDuplicateKeys(valueToNumbers),
hasDuplicateKeys(valueToNumbers)
);
handleOnNewValue(
valueToNumbers,
templateParam,
templateParam
);
}}
isList={
@ -387,7 +389,7 @@ const EditNodeModal = forwardRef(
setEnabled={(isEnabled) => {
handleOnNewValue(
isEnabled,
templateParam,
templateParam
);
}}
size="small"
@ -630,7 +632,7 @@ const EditNodeModal = forwardRef(
</BaseModal.Footer>
</BaseModal>
);
},
}
);
export default EditNodeModal;

7
src/frontend/src/modals/genericModal/index.tsx
View file

@ -83,7 +83,7 @@ export default function GenericModal({
}
const filteredWordsHighlight = matches.filter(
(word) => !invalid_chars.includes(word),
(word) => !invalid_chars.includes(word)
);
setWordsHighlight(filteredWordsHighlight);
@ -134,7 +134,7 @@ export default function GenericModal({
// to the first key of the custom_fields object
if (field_name === "") {
field_name = Array.isArray(
apiReturn.data?.frontend_node?.custom_fields?.[""],
apiReturn.data?.frontend_node?.custom_fields?.[""]
)
? apiReturn.data?.frontend_node?.custom_fields?.[""][0] ?? ""
: apiReturn.data?.frontend_node?.custom_fields?.[""] ?? "";
@ -166,7 +166,6 @@ export default function GenericModal({
}
})
.catch((error) => {
console.log(error);
setIsEdit(true);
return setErrorData({
title: PROMPT_ERROR_ALERT,
@ -210,7 +209,7 @@ export default function GenericModal({
<div
className={classNames(
!isEdit ? "rounded-lg border" : "",
"flex h-full w-full",
"flex h-full w-full"
)}
>
{type === TypeModal.PROMPT && isEdit && !readonly ? (

1
src/frontend/src/modals/secretKeyModal/index.tsx
View file

@ -147,6 +147,7 @@ export default function SecretKeyModal({
{renderKey === false && (
<div className="float-right">
<Button
type="button"
className="mr-3"
variant="outline"
onClick={() => {

6
src/frontend/src/pages/FlowPage/components/extraSidebarComponent/index.tsx
View file

@ -284,7 +284,7 @@ export default function ExtraSidebar(): JSX.Element {
<div className="side-bar-components-div-arrangement">
<div className="parent-disclosure-arrangement">
<div className="flex items-center gap-4 align-middle">
<span className="parent-disclosure-title">Core Components</span>
<span className="parent-disclosure-title">Basic Components</span>
</div>
</div>
{Object.keys(dataFilter)
@ -361,9 +361,9 @@ export default function ExtraSidebar(): JSX.Element {
)}{" "}
<ParentDisclosureComponent
openDisc={false}
key={"Extended"}
key={"Advanced"}
button={{
title: "Extended",
title: "Advanced",
Icon: nodeIconsLucide.unknown,
}}
testId="extended-disclosure"

10
src/frontend/src/pages/FlowPage/components/nodeToolbarComponent/index.tsx
View file

@ -29,7 +29,7 @@ import {
expandGroupNode,
updateFlowPosition,
} from "../../../../utils/reactflowUtils";
import { classNames } from "../../../../utils/utils";
import { classNames, cn } from "../../../../utils/utils";
import ToolbarSelectItem from "./toolbarSelectItem";
export default function NodeToolbarComponent({
@ -68,7 +68,7 @@ export default function NodeToolbarComponent({
const isMinimal = numberOfHandles <= 1;
const isGroup = data.node?.flow ? true : false;
// const frozen = data.node?.frozen ?? false;
const frozen = data.node?.frozen ?? false;
const paste = useFlowStore((state) => state.paste);
const nodes = useFlowStore((state) => state.nodes);
const edges = useFlowStore((state) => state.edges);
@ -430,7 +430,7 @@ export default function NodeToolbarComponent({
</button>
</ShadTooltip>
{/* <ShadTooltip content="Freeze" side="top">
<ShadTooltip content="Freeze" side="top">
<button
className={classNames(
"relative -ml-px inline-flex items-center bg-background px-2 py-2 text-foreground shadow-md ring-1 ring-inset ring-ring transition-all duration-500 ease-in-out hover:bg-muted focus:z-10"
@ -443,7 +443,7 @@ export default function NodeToolbarComponent({
...old.data,
node: {
...old.data.node,
// frozen: old.data?.node?.frozen ? false : true,
frozen: old.data?.node?.frozen ? false : true,
},
},
}));
@ -458,7 +458,7 @@ export default function NodeToolbarComponent({
)}
/>
</button>
</ShadTooltip> */}
</ShadTooltip>
<Select onValueChange={handleSelectChange} value="">
<ShadTooltip content="More" side="top">

3
src/frontend/src/pages/Playground/index.tsx
View file

@ -11,7 +11,7 @@ export default function PlaygroundPage() {
const currentFlow = useFlowsManagerStore((state) => state.currentFlow);
const getFlowById = useFlowsManagerStore((state) => state.getFlowById);
const setCurrentFlowId = useFlowsManagerStore(
(state) => state.setCurrentFlowId,
(state) => state.setCurrentFlowId
);
const currentFlowId = useFlowsManagerStore((state) => state.currentFlowId);
const setCurrentFlow = useFlowsManagerStore((state) => state.setCurrentFlow);
@ -29,7 +29,6 @@ export default function PlaygroundPage() {
// Set flow tab id
useEffect(() => {
console.log("id", id);
if (getFlowById(id!)) {
setCurrentFlowId(id!);
} else {

1
src/frontend/src/stores/flowStore.ts
View file

@ -464,7 +464,6 @@ const useFlowStore = create<FlowStoreType>((set, get) => ({
status: BuildStatus,
runId: string,
) {
console.log("handleBuildUpdate", vertexBuildData, status, runId);
if (vertexBuildData && vertexBuildData.inactivated_vertices) {
get().removeFromVerticesBuild(vertexBuildData.inactivated_vertices);
get().updateBuildStatus(

1
src/frontend/src/stores/flowsManagerStore.ts
View file

@ -233,7 +233,6 @@ const useFlowsManagerStore = create<FlowsManagerStoreType>((set, get) => ({
// addFlowToLocalState(newFlow);
return;
}
console.log("folder id", folder_id);
const newFlow = createNewFlow(
flowData!,
flow!,

55
src/frontend/src/style/applies.css
View file

@ -9,9 +9,7 @@
body {
@apply bg-background text-foreground;
font-feature-settings:
"rlig" 1,
"calt" 1;
font-feature-settings: "rlig" 1, "calt" 1;
}
}
@ -115,6 +113,57 @@
.button-disable {
@apply pointer-events-none;
}
/* Frozen state border */
.border-ring-frozen {
position: relative;
@apply rounded-md border shadow-frozen-ring;
}
.border-ring-frozen::before {
content: "";
position: absolute;
top: -2px; /* Adjust based on desired border width */
bottom: -2px;
left: -2px;
right: -2px;
/* use the frozen-blue color from tailwind */
border-radius: inherit;
pointer-events: none;
@apply border-2 border-frozen-blue;
}
.border-frozen {
@apply border shadow-frozen-ring;
}
.frosted {
@apply rounded-md bg-frozen-blue backdrop-blur-xs;
}
.frozen {
position: relative;
overflow: hidden;
}
.frozen::before,
.frozen::after {
content: "";
position: absolute;
top: -10px;
bottom: -10px;
left: -10px;
right: -10px;
background: rgba(
255,
255,
255,
0.5
); /* Reduced opacity for better readability */
border-radius: 10px;
pointer-events: none;
}
.frozen::before {
filter: blur(5px); /* Less blur for better readability */
}
.frozen::after {
filter: blur(10px); /* Less blur for better readability */
opacity: 0.2; /* Reduced opacity */
}
.extra-side-bar-buttons {
@apply relative inline-flex w-full items-center justify-center rounded-md bg-background px-2 py-2 text-foreground transition-all duration-500 ease-in-out;
}

9
src/frontend/tailwind.config.js
View file

@ -44,6 +44,8 @@ module.exports = {
"slow-wiggle": "wiggle 500ms ease-in-out 1",
},
colors: {
"frozen-blue": "rgba(128, 190, 219, 0.86)", // Custom blue color for the frozen effect
"frosted-glass": "rgba(255, 255, 255, 0.8)", // Custom frosted glass effect
"component-icon": "var(--component-icon)",
"flow-icon": "var(--flow-icon)",
"low-indigo": "var(--low-indigo)",
@ -139,6 +141,13 @@ module.exports = {
fontFamily: {
sans: ["var(--font-sans)", ...fontFamily.sans],
},
boxShadow: {
"frozen-ring": "0 0 10px 2px rgba(128, 190, 230, 0.5)",
"frosted-ring": "0 0 10px 2px rgba(128, 190, 230, 0.7)",
},
backdropBlur: {
xs: "2px",
},
},
},

26
tests/test_data_components.py
View file

@ -6,9 +6,8 @@ import httpx
import pytest
import respx
from httpx import Response
from langflow.components import (
data,
)
from langflow.components import data
@pytest.fixture
@ -34,6 +33,27 @@ async def test_successful_get_request(api_request):
assert result.data["result"] == mock_response
def test_parse_curl(api_request):
# Arrange
field_value = (
"curl -X GET https://example.com/api/test -H 'Content-Type: application/json' -d '{\"key\": \"value\"}'"
)
build_config = {
"method": {"value": ""},
"urls": {"value": []},
"headers": {},
"body": {},
}
# Act
new_build_config = api_request.parse_curl(field_value, build_config.copy())
# Assert
assert new_build_config["method"]["value"] == "GET"
assert new_build_config["urls"]["value"] == ["https://example.com/api/test"]
assert new_build_config["headers"]["value"] == {"Content-Type": "application/json"}
assert new_build_config["body"]["value"] == {"key": "value"}
@pytest.mark.asyncio
@respx.mock
async def test_failed_request(api_request):