Langflow is a powerful tool for building and deploying AI-powered agents and workflows.
http://www.langflow.org
d41d740768* fix: enhance error handling in build_flow function by utilizing ErrorMessage schema - Introduced ErrorMessage schema to standardize error reporting in the build_flow function. - Updated error handling to include flow_id, session_id, and trace_name for better context in error messages. - Improved clarity and maintainability of error handling logic across multiple exception cases. * Remove session_id from ErrorMessage in chat endpoint * fix: enhance error handling in build_flow function by checking for custom component existence Updated the error handling logic in the build_flow function to safely access the trace_name of the custom component. This change ensures that if the custom component is not present, the trace_name will be set to None, improving the robustness of error reporting. * fix: update ErrorMessage schema to allow optional session_id and source - Modified the ErrorMessage class to accept optional parameters for session_id and source, enhancing flexibility in error reporting. - Updated the initialization logic to handle None values for sender and component attributes, ensuring robustness in cases where source may not be provided. * fix: improve error handling in build_flow function by using getattr for trace_name Updated the error handling logic in the build_flow function to utilize getattr for safely accessing the trace_name attribute of the custom component. This change ensures that if the custom component is not present, trace_name will default to None, enhancing the robustness of error reporting. |
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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.
⭐ 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.