caccdb79e2* 🐛 (chroma.py, local_db.py): Handle ImportError when importing filter_complex_metadata function to avoid crashing the application 💡 (chroma.py, local_db.py): Add try-except block to gracefully handle ImportError and log a warning message if the function cannot be imported * ♻️ (local_db.py): remove unnecessary try-except block and simplify document adding process in LocalDBComponent * 🔧 (chroma.py): Remove unused import 'filter_complex_metadata' and add support for filtering complex metadata to prevent ChromaDB errors 🔧 (test_chroma_vector_store_component.py): Add test cases for filtering complex metadata, preserving simple metadata types, handling single file upload scenario, fallback behavior when import fails, and handling empty and None metadata values. * [autofix.ci] apply automated fixes * 🐛 (test_chroma_vector_store_component.py): fix failing test due to None value being filtered out by ChromaDB metadata handling * 🔧 (test_chroma_vector_store_component.py): refactor test method names and data to improve clarity and consistency in metadata filtering and preservation logic * 🐛 (test_chroma_vector_store_component.py): fix missing variable assignment for error message in mocked import error to improve error handling and debugging in tests * [autofix.ci] apply automated fixes * 🔧 (test_chroma_vector_store_component.py): delete the file test_chroma_vector_store_component.py as it is no longer needed in the project * [autofix.ci] apply automated fixes * ✨ (test_chroma_vector_store_component.py): add unit tests for ChromaVectorStoreComponent including create_db, create_collection_with_data, similarity_search, mmr_search, search_with_different_types, search_with_score, duplicate_handling, chroma_collection_to_data, metadata_filtering_with_complex_data, metadata_filtering_fallback --------- Co-authored-by: autofix-ci[bot] <114827586+autofix-ci[bot]@users.noreply.github.com> Co-authored-by: Edwin Jose <edwin.jose@datastax.com> |
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| .github | ||
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| deploy | ||
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| docker_example | ||
| docs | ||
| scripts | ||
| src | ||
| test-results | ||
| .coderabbit.yaml | ||
| .composio.lock | ||
| .env.example | ||
| .eslintrc.json | ||
| .gitattributes | ||
| .gitignore | ||
| .pre-commit-config.yaml | ||
| CODE_OF_CONDUCT.md | ||
| codecov.yml | ||
| CONTRIBUTING.md | ||
| DEVELOPMENT.md | ||
| LICENSE | ||
| Makefile | ||
| Makefile.frontend | ||
| pyproject.toml | ||
| README.md | ||
| render.yaml | ||
| SECURITY.md | ||
| uv.lock | ||
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 built-in API and MCP servers that turn every workflow into a tool 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.
- Deploy as an MCP server and turn your flows into tools for MCP clients.
- 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.