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* refactor: add create_stream_tokens_event_manager for handling streaming events * feat: integrate EventManager into run_graph_internal for enhanced event handling - Added EventManager import and parameter to run_graph_internal function. - Updated function call to include event_manager for improved event management during graph execution. * feat: enhance Graph class with event_manager parameter - Added event_manager parameter to multiple methods in the Graph class to facilitate better event management during graph execution. - Updated process and run methods to include event_manager, ensuring it is passed through to relevant function calls. - Improved documentation for methods to reflect the new event_manager parameter. * feat: implement streaming support in flow execution with EventManager integration - Added support for streaming responses in the simplified_run_flow endpoint, allowing real-time event handling during flow execution. - Introduced consume_and_yield and run_flow_generator functions to manage event consumption and client communication. - Integrated EventManager for enhanced event tracking, including success and error notifications. - Updated endpoint documentation to reflect new streaming capabilities and parameters. - Improved error handling and logging for better debugging and client disconnection management. * refactor: remove request logging from simplified_run_flow endpoint - Removed the logging of the request object in the simplified_run_flow function to streamline logging and reduce verbosity. - This change enhances the clarity of logs by focusing on essential information during flow execution.
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 uv (recommended) (Python 3.10 to 3.12):
uv pip install langflow
- Install with pip (Python 3.10 to 3.12):
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.
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👋 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.