Langflow is a powerful tool for building and deploying AI-powered agents and workflows.
http://www.langflow.org
633b1e582a* feat: update OpenAI model parameters handling for reasoning models * feat: extend input_value type in LCModelComponent to support AsyncIterator and Iterator * refactor: remove assert_streaming_sequence method and related checks from Graph class * feat: add consume_iterator method to Message class for handling iterators * test: add unit tests for OpenAIModelComponent functionality and integration * feat: update OpenAIModelComponent to include temperature and seed parameters in build_model method * feat: rename consume_iterator method to consume_iterator_in_text and update its implementation for handling text * feat: add is_connected_to_chat_output method to Component class for improved message handling * feat: refactor LCModelComponent methods to support asynchronous message handling and improve chat output integration * refactor: remove consume_iterator_in_text method from Message class and clean up LCModelComponent input handling * fix: update import paths for input components in multiple starter project JSON files * fix: enhance error message formatting in ErrorMessage class to handle additional exception attributes * refactor: remove validate_stream calls from generate_flow_events and Graph class to streamline flow processing * fix: handle asyncio.CancelledError in aadd_messagetables to ensure proper session rollback and retry logic * refactor: streamline message handling in LCModelComponent by replacing async invocation with synchronous calls and updating message text handling * refactor: enhance message handling in LCModelComponent by introducing lf_message for improved return value management and updating properties for consistency * feat: add _build_source method to Component class for enhanced source handling and flexibility in source object management * feat: enhance LCModelComponent by adding _handle_stream method for improved streaming response handling and refactoring chat output integration * feat: update MemoryComponent to enhance message retrieval and storage functionality, including new sender type handling and output options for text and dataframe formats * test: refactor LanguageModelComponent tests to use ComponentTestBaseWithoutClient and add tests for Google model creation and error handling * test: add fixtures for API keys and implement live API tests for OpenAI, Anthropic, and Google models * fix: reorder JSON properties for consistency in starter projects * Updated JSON files for various starter projects to ensure consistent ordering of properties, specifically moving "type" to follow "selected_output" for better readability and maintainability. * Affected files: Basic Prompt Chaining.json, Blog Writer.json, Financial Report Parser.json, Hybrid Search RAG.json, SEO Keyword Generator.json. * refactor: simplify input_value type in LCModelComponent * Updated the input_value parameter in LCModelComponent to remove AsyncIterator and Iterator types, streamlining the input options to only str and Message for improved clarity and maintainability. * This change enhances the documentation and understanding of the expected input types for the component. * fix: clarify comment for handling source in Component class * refactor: remove unnecessary mocking in OpenAI model integration tests |
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Caution
Users must update to Langflow >= 1.3 to protect against CVE-2025-3248.
Langflow is a powerful tool for building and deploying AI-powered agents and workflows. It provides developers with both a visual authoring experience and a built-in API server that turns every agent into an API endpoint that can be integrated into applications built on any framework or stack. Langflow comes with batteries included and supports all major LLMs, vector databases and a growing library of AI tools.
✨ Highlight features
- Visual builder interface to quickly get started and iterate .
- Source code access lets you customize any component using Python.
- Interactive playground to immediately test and refine your flows with step-by-step control.
- Multi-agent orchestration with conversation management and retrieval.
- Deploy as an API or export as JSON for Python apps.
- Observability with LangSmith, LangFuse and other integrations.
- Enterprise-ready security and scalability.
⚡️ Quickstart
Langflow requires Python 3.10 to 3.13 and uv.
- To install Langflow, run:
uv pip install langflow -U
- To run Langflow, run:
uv run langflow run
- Go to the default Langflow URL at
http://127.0.0.1:7860.
For more information about installing Langflow, including Docker and Desktop options, see Install Langflow.
📦 Deployment
Langflow is completely open source and you can deploy it to all major deployment clouds. To learn how to use Docker to deploy Langflow, see the Docker deployment guide.
⭐ 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.