fbad5fad5c
* Update test_exception_telemetry.py * Refactor unused variables in subprocess and test code Replaced unused variables 'stderr' and 'func' with underscores in subprocess communication and test telemetry code to clarify intent and avoid linting warnings. * [autofix.ci] apply automated fixes * [autofix.ci] apply automated fixes (attempt 2/3) * Use re.escape for exception match in tests Updated test cases to use re.escape for matching exception messages in pytest.raises, improving reliability when matching error strings containing special characters. Also replaced unused tuple variables with underscores for clarity. * Fix various ruff errors in lfx * Reorder pydantic imports in unit tests Moved pydantic imports below other imports for consistency and improved readability across multiple unit test files. * [autofix.ci] apply automated fixes * [autofix.ci] apply automated fixes (attempt 2/3) * Update test_directory_component.py * [autofix.ci] apply automated fixes * Update test_validate.py --------- Co-authored-by: autofix-ci[bot] <114827586+autofix-ci[bot]@users.noreply.github.com> Co-authored-by: Eric Hare <ericrhare@gmail.com>
Caution
- Users must update to Langflow >= 1.3 to protect against CVE-2025-3248
- Users must update to Langflow >= 1.5.1 to protect against CVE-2025-57760
For security information, see our Security Policy and Security Advisories.
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.