3ecf9640b7* Added Traceloop SDK for colecting traces and metrics from Langflow * [autofix.ci] apply automated fixes * added test case for traceloop * Revert "[autofix.ci] apply automated fixes" This reverts commit 3a68113f0de65b2397ac88d1fc2cae8f786adbd7. * Updated logic for verifying returned callbacks list length * [autofix.ci] apply automated fixes * api key strip validation and updated logger warning * Add graceful fallback for Traceloop LangChain callback handler * Removed TraceloopLangChainCallbackHandler * default URL moved to configuration constant * add Timeout Protection to add trace method * add resource cleanup method for traceloop * fix(tracing): unify span lifecycle and fix async mismatch in TraceloopTracer - Remove incorrect asyncio.wait_for usage on synchronous method - Store active spans in _span_map to properly end them in end_trace - Prevent duplicate unrelated spans for same component - Use trace.get_tracer_provider().force_flush() for correct flushing - Add explicit close() method for manual flush at shutdown - Enforce HTTPS in TRACELOOP_BASE_URL validation - Improve reliability of cleanup in __del__ * stable uv.lock from upstream/main * Fix: ensure type-safe metadata handling * Block PYMYSQL intrumentor and relaxed https constraint * fix(tracing): handle invalid input/output type conversion for traceloop attributes * fix: Reduced cognitive complexity of get_trace_as_metadata method * fix: organize child spans under single root span and added type conversion methods * fix: Linting and formatting * uv.lock reset to upstream main * [autofix.ci] apply automated fixes --------- Co-authored-by: autofix-ci[bot] <114827586+autofix-ci[bot]@users.noreply.github.com> Co-authored-by: Sandesh R <sandesh@ibm.com> |
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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 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.