Langflow is a powerful tool for building and deploying AI-powered agents and workflows.
http://www.langflow.org
ec7579d578* add template tests * remove files * adding validate flow build * add validate endpoint and flow execution * Update .github/workflows/template-tests.yml Co-authored-by: coderabbitai[bot] <136622811+coderabbitai[bot]@users.noreply.github.com> * Update src/backend/base/langflow/utils/template_validation.py Co-authored-by: coderabbitai[bot] <136622811+coderabbitai[bot]@users.noreply.github.com> * [autofix.ci] apply automated fixes * change workflow running * add ci * fix test * fix test * delete when push * fix: Exclude template tests from unit test bundle Template tests are already run separately in CI via the test-templates job. This change prevents duplicate execution and eliminates timeout failures in the unit test suite by excluding slow template execution tests. 🤖 Generated with [Claude Code](https://claude.ai/code) Co-Authored-By: Claude <noreply@anthropic.com> * fix: Exclude template tests from unit test bundle Template tests are already run separately in CI via the test-templates job. This change prevents duplicate execution and eliminates timeout failures in the unit test suite by excluding slow template execution tests. 🤖 Generated with [Claude Code](https://claude.ai/code) Co-Authored-By: Claude <noreply@anthropic.com> * fix: Exclude template tests from unit test bundle Template tests are already run separately in CI via the test-templates job. This change prevents duplicate execution and eliminates timeout failures in the unit test suite by excluding slow template execution tests. 🤖 Generated with [Claude Code](https://claude.ai/code) Co-Authored-By: Claude <noreply@anthropic.com> * fix: Remove remaining merge conflict markers 🤖 Generated with [Claude Code](https://claude.ai/code) Co-Authored-By: Claude <noreply@anthropic.com> * fix: Improve validate.py unit tests to eliminate CI failures Fixed 4 failing tests in test_validate.py: - test_code_with_syntax_error: Better error message handling for syntax errors - test_raises_error_for_missing_function: Handle StopIteration along with ValueError - test_creates_simple_class: Use optional constructor parameter to avoid TypeError - test_handles_validation_error: Use proper ValidationError constructor from pydantic_core - test_creates_context_with_langflow_imports: Remove invalid module patching - test_creates_mock_classes_on_import_failure: Use proper import mocking All 50 validate tests now pass consistently, improving CI stability. 🤖 Generated with [Claude Code](https://claude.ai/code) Co-Authored-By: Claude <noreply@anthropic.com> * enhance: Add comprehensive edge case tests for template_validation.py Added 6 additional test cases to improve coverage of template_validation.py: - test_validate_stream_exception: Tests Graph.validate_stream() exception handling - test_code_validation_other_exceptions: Tests TypeError/KeyError/AttributeError handling - test_vertices_sorted_without_end_vertex_events: Tests variable usage tracking - test_vertex_count_tracking: Tests vertex_count increment paths - test_empty_lines_in_stream: Tests empty line handling in event streams - test_event_stream_validation_exception: Tests exception handling in _validate_event_stream These tests target the remaining 7 uncovered lines to maximize coverage percentage. Total tests: 40 (all passing) 🤖 Generated with [Claude Code](https://claude.ai/code) Co-Authored-By: Claude <noreply@anthropic.com> * feat: Add telemetry for unhandled exceptions Add comprehensive exception telemetry to capture and send unhandled exceptions to Scarf analytics for better error tracking and debugging. Features: - ExceptionPayload schema with type, message, context, and stack hash - TelemetryService.log_exception() method for exception logging - Integration in FastAPI exception handlers and lifespan events - Stack trace hashing for grouping similar exceptions - Respects existing do_not_track privacy settings Context tracking: - "handler" - exceptions in HTTP request processing - "lifespan" - exceptions during app startup/shutdown Sends data to: https://langflow.gateway.scarf.sh/exception Includes comprehensive unit and integration tests covering all functionality and edge cases. 🤖 Generated with [Claude Code](https://claude.ai/code) Co-Authored-By: Claude <noreply@anthropic.com> * fix: Improve exception telemetry implementation - Replace MD5 with SHA256 for better security practices - Use contextlib.suppress instead of try-except-pass patterns - Fix telemetry_service scope issue in lifespan function - Improve test exception handling to follow best practices - All linting checks now pass with proper code style 🤖 Generated with [Claude Code](https://claude.ai/code) Co-Authored-By: Claude <noreply@anthropic.com> * refactor the exception logging * [autofix.ci] apply automated fixes * update comment * use mock url * fix: remove telemetry logging for lifespan cancellation during shutdown --------- Co-authored-by: coderabbitai[bot] <136622811+coderabbitai[bot]@users.noreply.github.com> Co-authored-by: autofix-ci[bot] <114827586+autofix-ci[bot]@users.noreply.github.com> Co-authored-by: Claude <noreply@anthropic.com> Co-authored-by: Gabriel Luiz Freitas Almeida <gabriel@langflow.org> |
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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.