cd4464d6b1
* refactor: Simplify flow execution validation by removing unnecessary asyncio.wait_for calls Updated the validate_flow_execution function to directly use the client.post and client.get methods with a timeout parameter, improving code readability and maintainability. This change eliminates redundant timeout handling while ensuring consistent timeout values across API calls. * refactor: Enhance template tests for improved structure and validation Refactored the template tests in `test_starter_projects.py` to utilize parameterization for better readability and maintainability. Introduced helper functions to retrieve template files and disabled tracing for all tests. Updated individual test methods to validate JSON structure, flow execution, and endpoint validation, ensuring comprehensive coverage of template functionality. This change streamlines the testing process and enhances the robustness of the test suite. * refactor: Update project metadata and import paths in starter project JSON files Modified the metadata section in multiple starter project JSON files to reflect updated code hashes and module paths, transitioning from 'lfx' to 'langflow' components. This change enhances consistency across the codebase and ensures that the correct modules are referenced for improved maintainability and clarity. * chore: Update template test commands to utilize parallel execution Modified the commands in the Makefile and CI workflows to include the `-n auto` option for pytest, enabling parallel test execution for the starter project template tests. This change enhances test performance and efficiency across the codebase. * chore: Remove news-aggregated.json file Deleted the news-aggregated.json file * Update test_template_validation.py * [autofix.ci] apply automated fixes --------- Co-authored-by: autofix-ci[bot] <114827586+autofix-ci[bot]@users.noreply.github.com>
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.