Langflow is a powerful tool for building and deploying AI-powered agents and workflows.
http://www.langflow.org
* ✨ (frontend): Add TimeoutErrorComponent to handle timeout errors in API requests 🔧 (frontend): Add healthCheckTimeout state and setHealthCheckTimeout function to utilityStore for managing timeout errors in API requests * 📝 (constants.ts): add constants for server health check intervals to improve code readability and maintainability 🐛 (use-get-health.ts): fix refetch interval value to use the newly added constant REFETCH_SERVER_HEALTH_INTERVAL for consistency and easier maintenance * 📝 (api.tsx): Add utilityStore import to improve code organization 📝 (api.tsx): Add createNewError503 function to handle custom 503 errors 📝 (api.tsx): Add AxiosError import for type checking 📝 (api.tsx): Refactor error handling logic for authentication errors 📝 (use-get-health.ts): Add createNewError503 import for custom 503 errors 📝 (use-get-health.ts): Add AxiosError import for type checking 📝 (use-get-health.ts): Refactor error handling logic for server busy status 📝 (index.tsx): Add AxiosError import for type checking 📝 (index.tsx): Add useEffect and useState imports for state management 📝 (index.tsx): Refactor error handling logic for server status and retries 📝 (utilityStore.ts): Add retriesApiRequest state and setRetriesApiRequest function 📝 (axios-error-503.ts): Create function to generate custom 503 error responses 📝 (index.ts): Add retriesApiRequest state and setRetriesApiRequest function to UtilityStoreType * 🔧 (utilityStore.ts): remove unused retriesApiRequest and setRetriesApiRequest functions to clean up code and improve maintainability 🔧 (index.ts): remove unused retriesApiRequest and setRetriesApiRequest types to keep type definitions consistent and up to date * ✨ (nginx.conf): add new health endpoint to proxy_pass requests to the backend server for health checks * ✨ (langflow): Add support for configuring the number of retries for the health check feature. This change introduces a new option `health_check_max_retries` that can be set via environment variable or command line argument to control the maximum number of retries for the health check process. * check if value is none |
||
|---|---|---|
| .devcontainer | ||
| .github | ||
| .vscode | ||
| deploy | ||
| docker | ||
| docker_example | ||
| docs | ||
| scripts | ||
| src | ||
| .env.example | ||
| .eslintrc.json | ||
| .gitattributes | ||
| .gitignore | ||
| .pre-commit-config.yaml | ||
| CODE_OF_CONDUCT.md | ||
| CONTRIBUTING.md | ||
| eslint.config.js | ||
| LICENSE | ||
| Makefile | ||
| poetry.lock | ||
| pyproject.toml | ||
| README.ES.md | ||
| README.ja.md | ||
| README.KR.md | ||
| README.md | ||
| README.PT.md | ||
| README.zh_CN.md | ||
| render.yaml | ||
Langflow is a low-code app builder for RAG and multi-agent AI applications. It’s Python-based and agnostic to any model, API, or database.
Docs - Free Cloud Service - Self Managed
✨ Core features
- Python-based and agnostic to models, APIs, data sources, or databases.
- Visual IDE for drag-and-drop building and testing of workflows.
- Playground to immediately test and iterate workflows with step-by-step control.
- Multi-agent orchestration and conversation management and retrieval.
- Free cloud service to get started in minutes with no setup.
- Publish as an API or export as a Python application.
- Observability with LangSmith, LangFuse, or LangWatch integration.
- Enterprise-grade security and scalability with free DataStax Langflow cloud service.
- Customize workflows or create flows entirely just using Python.
- Ecosystem integrations as reusable components for any model, API or database.
📦 Quickstart
- Install with pip (Python 3.10 or greater):
pip install langflow
- Cloud: DataStax Langflow is a hosted environment with zero setup. Sign up for a free account.
- Self-managed: Run Langflow in your environment. Install Langflow to run a local Langflow server, and then use the Quickstart guide to create and execute a flow.
- Hugging Face: Clone the space using this link to create a Langflow workspace.
⭐ Stay up-to-date
Star Langflow on GitHub to be instantly notified of new releases.
👋 Contribute
We welcome contributions from developers of all levels. If you'd like to contribute, please check our contributing guidelines and help make Langflow more accessible.
