Langflow is a powerful tool for building and deploying AI-powered agents and workflows. http://www.langflow.org
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Gabriel Luiz Freitas Almeida 8ea95420c7 Update workflows for better test coverage and integration (#2344)
*  (typescript_test.yml): add workflow_dispatch event to trigger workflow manually with branch input parameter

🔧 (typescript_test.yml): update workflow to checkout code from the specified branch when triggered manually

* 📝 (lint-py.yml): update linting workflow to trigger on specific pull request events and checks requested action

📝 (lint-py.yml): add a specific job to run Mypy for static type checking in the linting workflow

* 🔧 (python_test.yml): update pull_request event types and branches to trigger on more actions for better test coverage and integration
2024-06-25 10:21:38 -07:00
.devcontainer Update Python base image to version 3.10 in devcontainer.json 2024-04-17 11:21:05 -03:00
.github Update workflows for better test coverage and integration (#2344) 2024-06-25 10:21:38 -07:00
.vscode Fixes CLI and server (#2342) 2024-06-25 09:20:55 -07:00
deploy Update Docker image references to langflowai in GitHub workflows and Docker Compose files (#1793) 2024-04-29 13:38:18 -03:00
docker docker: force python version to 3.12.3 (#2148) 2024-06-12 06:09:46 -07:00
docker_example chore: Update docker volume mount path for langflow-data in pre.docker-compose.yml 2024-05-28 20:46:46 -03:00
docs Added image on introduction page and refactored title 2024-06-24 08:26:48 -07:00
scripts Merge remote-tracking branch 'origin/dev' into two_edges 2024-06-07 10:42:22 -03:00
src Updating Tests and Fixing Related Bugs (#2319) 2024-06-25 10:21:38 -07:00
tests Fixes CLI and server (#2342) 2024-06-25 09:20:55 -07:00
.env.example 📝 (env.example): add comment to clarify BACKEND_URL value must end with a slash 2024-06-21 17:54:32 -03:00
.eslintrc.json 🔧 (.pre-commit-config.yaml): Add eslint@9.1.1 as a dependency and enable autofix for pretty-format-json hook 2024-05-02 19:27:40 -03:00
.gitattributes refactor: Update .gitattributes to remove working-tree-encoding for .mdx and .json files 2024-06-10 14:30:27 -03:00
.gitignore chore: Update .gitignore to exclude database files 2024-06-22 12:32:54 -07:00
.pre-commit-config.yaml Update linting workflows for frontend and Python code (#2171) 2024-06-14 06:27:48 -07:00
CODE_OF_CONDUCT.md run codespell 2024-06-04 09:26:13 -03:00
CONTRIBUTING.md docs(contributing.md): update contribution guidelines 2024-06-22 19:13:33 -03:00
eslint.config.js 🔧 (.pre-commit-config.yaml): Add eslint@9.1.1 as a dependency and enable autofix for pretty-format-json hook 2024-05-02 19:27:40 -03:00
LICENSE Update organization name and URLs in configuration files 2024-04-18 11:58:19 -03:00
Makefile refactor: Update Makefile to ignore integration tests in unit_tests 2024-06-22 23:45:24 -03:00
poetry.lock Fixes CLI and server (#2342) 2024-06-25 09:20:55 -07:00
pyproject.toml Fixes CLI and server (#2342) 2024-06-25 09:20:55 -07:00
README.md Fix Astra Component and Middleware (#2321) 2024-06-24 13:29:41 -07:00
README.PT.md feat: Update sidebar link to Langflow workspace 2024-06-24 04:37:06 -07:00
README.zh_CN.md Merge remote-tracking branch 'origin/dev' into two_edges 2024-06-07 10:42:22 -03:00
render.yaml refactor: Update Dockerfile and render.yaml for pre-release deployment 2024-06-03 14:05:33 -03:00

Langflow 1.0 is OUT! 🎉

Read all about it here!

Langflow

A visual framework for building multi-agent and RAG applications

Open-source, Python-powered, fully customizable, LLM and vector store agnostic

Docs - Join our Discord - Follow us on X - Live demo

README in English README in Portuguese README in Simplified Chinese

Your GIF

📝 Content

📦 Get Started

You can install Langflow with pip:

# Make sure you have >=Python 3.10 installed on your system.
python -m pip install langflow -U

Then, run Langflow with:

python -m langflow run

You can also preview Langflow in HuggingFace Spaces. Clone the space using this link to create your own Langflow workspace in minutes.

🎨 Create Flows

Creating flows with Langflow is easy. Simply drag components from the sidebar onto the workspace and connect them to start building your application.

Explore by editing prompt parameters, grouping components into a single high-level component, and building your own Custom Components.

Once youre done, you can export your flow as a JSON file.

Load the flow with:

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 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

Deploy on Railway

Use this template to deploy Langflow 1.0 on Railway:

Deploy on Railway

Deploy on Render

Deploy to Render

Deploy on Kubernetes

Follow our step-by-step guide to deploy Langflow on Kubernetes.

🖥️ Command Line Interface (CLI)

Langflow provides a command-line interface (CLI) for easy management and configuration.

Usage

You can run the Langflow using the following command:

langflow run [OPTIONS]

Each option is detailed below:

  • --help: Displays all available options.
  • --host: Defines the host to bind the server to. Can be set using the LANGFLOW_HOST environment variable. The default is 127.0.0.1.
  • --workers: Sets the number of worker processes. Can be set using the LANGFLOW_WORKERS environment variable. The default is 1.
  • --timeout: Sets the worker timeout in seconds. The default is 60.
  • --port: Sets the port to listen on. Can be set using the LANGFLOW_PORT environment variable. The default is 7860.
  • --env-file: Specifies the path to the .env file containing environment variables. The default is .env.
  • --log-level: Defines the logging level. Can be set using the LANGFLOW_LOG_LEVEL environment variable. The default is critical.
  • --components-path: Specifies the path to the directory containing custom components. Can be set using the LANGFLOW_COMPONENTS_PATH environment variable. The default is langflow/components.
  • --log-file: Specifies the path to the log file. Can be set using the LANGFLOW_LOG_FILE environment variable. The default is logs/langflow.log.
  • --cache: Selects the type of cache to use. Options are InMemoryCache and SQLiteCache. Can be set using the LANGFLOW_LANGCHAIN_CACHE environment variable. The default is SQLiteCache.
  • --dev/--no-dev: Toggles the development mode. The default is no-dev.
  • --path: Specifies the path to the frontend directory containing build files. This option is for development purposes only. Can be set using the LANGFLOW_FRONTEND_PATH environment variable.
  • --open-browser/--no-open-browser: Toggles the option to open the browser after starting the server. Can be set using the LANGFLOW_OPEN_BROWSER environment variable. The default is open-browser.
  • --remove-api-keys/--no-remove-api-keys: Toggles the option to remove API keys from the projects saved in the database. Can be set using the LANGFLOW_REMOVE_API_KEYS environment variable. The default is no-remove-api-keys.
  • --install-completion [bash|zsh|fish|powershell|pwsh]: Installs completion for the specified shell.
  • --show-completion [bash|zsh|fish|powershell|pwsh]: Shows completion for the specified shell, allowing you to copy it or customize the installation.
  • --backend-only: This parameter, with a default value of False, allows running only the backend server without the frontend. It can also be set using the LANGFLOW_BACKEND_ONLY environment variable.
  • --store: This parameter, with a default value of True, enables the store features, use --no-store to deactivate it. It can be configured using the LANGFLOW_STORE environment variable.

These parameters are important for users who need to customize the behavior of Langflow, especially in development or specialized deployment scenarios.

Environment Variables

You can configure many of the CLI options using environment variables. These can be exported in your operating system or added to a .env file and loaded using the --env-file option.

A sample .env file named .env.example is included with the project. Copy this file to a new file named .env and replace the example values with your actual settings. If you're setting values in both your OS and the .env file, the .env settings will take precedence.

👋 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 and help make Langflow more accessible.


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🌟 Contributors

langflow contributors

📄 License

Langflow is released under the MIT License. See the LICENSE file for details.