60e2ea874d
* feat: add per-component MCP tool execution timeout override - Add mcp_tool_execution_timeout global setting (180s default) - Add FloatInput in MCP component for per-component timeout override - Update MCPStdioClient and MCPStreamableHttpClient to accept timeout parameter - Implement timeout fallback logic: component → global → 180s default - Add comprehensive unit tests for timeout configuration This complements the mcp_server_timeout setting (PR #12996) by allowing per-component customization of tool execution timeouts, supporting long-running MCP operations (>30s). Related to customer issue TS021996258 (Verizon). * fix: preserve client timeout and validate negative values - Only update client timeout when tool_execution_timeout is not None - Properly set timeout on mcp_sse_client when used as alias - Add validation to reject negative timeout values in MCP component - Add comprehensive tests for timeout preservation, SSE client, and validation Fixes issues where: 1. Passing None would overwrite existing client timeouts 2. mcp_sse_client wouldn't receive timeout updates 3. Negative timeout values were accepted without validation * feat: add configurable MCP tool execution timeout with backward compatibility - Add mcp_tool_execution_timeout setting (default: 180s) for long-running MCP tools - Implement 3-tier timeout fallback: component > global setting > max(mcp_server_timeout, 180) - Include timeout in cache keys to prevent stale cached tools from bypassing per-component timeouts - Add comprehensive test suite (33 tests) covering timeout configuration, backward compatibility, and cache behavior - Preserve existing deployments: when mcp_tool_execution_timeout is unset, falls back to max(mcp_server_timeout, 180) Fixes: TS021996258 (Verizon - long-running MCP tool timeouts) Co-authored-by: autofix.ci <autofix@autofix.ci> * chore: auto-bake note keys and regenerate backend locales/en.json [skip ci] * [autofix.ci] apply automated fixes (attempt 2/3) * fix: align mcp timeout coverage and component validation * chore: auto-bake note keys and regenerate backend locales/en.json [skip ci] * fix(mcp): resolve timeout execution bugs and add validation testing * [autofix.ci] apply automated fixes * [autofix.ci] apply automated fixes (attempt 2/3) * [autofix.ci] apply automated fixes * [autofix.ci] apply automated fixes * chore: auto-bake note keys and regenerate backend locales/en.json [skip ci] --------- Co-authored-by: Janardan S Kavia <janardanskavia@Janardans-MacBook-Pro.local> Co-authored-by: autofix.ci <autofix@autofix.ci> Co-authored-by: github-actions[bot] <github-actions[bot]@users.noreply.github.com> Co-authored-by: autofix-ci[bot] <114827586+autofix-ci[bot]@users.noreply.github.com> Co-authored-by: Eric Hare <ericrhare@gmail.com>
Langflow is a powerful platform 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.
🖥️ Langflow Desktop
Langflow Desktop is the easiest way to get started with Langflow. All dependencies are included, so you don't need to manage Python environments or install packages manually. Available for Windows and macOS.
⚡️ Quickstart
Install locally (recommended)
Requires Python 3.10–3.13 and uv (recommended package manager).
Install
From a fresh directory, run:
uv pip install langflow -U
The latest Langflow package is installed. For more information, see Install and run the Langflow OSS Python package.
Run
To start Langflow, run:
uv run langflow run
Langflow starts at http://127.0.0.1:7860.
That's it! You're ready to build with Langflow! 🎉
📦 Other install options
Run from source
If you've cloned this repository and want to contribute, run this command from the repository root:
make run_cli
For more information, see DEVELOPMENT.md.
Docker
Start a Langflow container with default settings:
docker run -p 7860:7860 langflowai/langflow:latest
Langflow is available at http://localhost:7860/. For configuration options, see the Docker deployment guide.
🛡️ Security
For security information, see our Security Policy.
🚀 Deployment
Langflow is completely open source and you can deploy it to all major deployment clouds. To learn how to deploy Langflow, see our Langflow deployment guides.
⭐ 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.