Langflow is a powerful tool for building and deploying AI-powered agents and workflows.
http://www.langflow.org
d092724d6a* test: Add session ID parameter to ToolCallingAgentComponent test * test: Add blocking for langchain_core runnables utility function * test: Add session ID generation to agent component test * fix: Safely delete agent message with ID check Modify error handling in LCAgentComponent to only delete agent message if it has an ID attribute, preventing potential attribute errors * test: Update ComponentToolkit test to use async start and verify results Modify the test_component_tool_with_api_key test to: - Use async_start() method for graph execution - Add session ID to graph - Improve result verification with vertex result tracking - Update import path for ChatOutput component * test: Skip cycle tests requiring LoopComponent Update test_cycles.py to: - Add skip markers for tests that now require a LoopComponent - Improve error message with snapshots for debugging - Preserve existing test logic while marking as skipped * test: Add client fixture to tool calling agent test Add usefixtures decorator to ensure client is available for the tool calling agent test, improving test setup and reliability * test: Add client fixture to component tool test with API key Enhance test_component_toolkit.py by adding the client fixture to the test_component_tool_with_api_key method, ensuring proper test setup for API key-dependent scenarios * test: Add client fixture to agent component test with calculator Add client fixture to the test_agent_component_with_calculator method to ensure proper test setup for API key-dependent scenarios * test: Disable redundant component input tests Remove commented-out test methods for checking required inputs across various components, as these tests were not providing significant value and the inputs are dynamic * test: Comment out condition to skip nodes with Tool outputs in setup.py * run formatter * test: Re-enable condition to skip nodes with Tool outputs in setup.py * [autofix.ci] apply automated fixes --------- Co-authored-by: autofix-ci[bot] <114827586+autofix-ci[bot]@users.noreply.github.com> |
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Langflow is a low-code app builder for RAG and multi-agent AI applications. It’s Python-based and agnostic to any model, API, or database.
Docs - Free Cloud Service - Self Managed
✨ Core features
- Python-based and agnostic to models, APIs, data sources, or databases.
- Visual IDE for drag-and-drop building and testing of workflows.
- Playground to immediately test and iterate workflows with step-by-step control.
- Multi-agent orchestration and conversation management and retrieval.
- Free cloud service to get started in minutes with no setup.
- Publish as an API or export as a Python application.
- Observability with LangSmith, LangFuse, or LangWatch integration.
- Enterprise-grade security and scalability with free DataStax Langflow cloud service.
- Customize workflows or create flows entirely just using Python.
- Ecosystem integrations as reusable components for any model, API or database.
📦 Quickstart
- Install with uv (recommended) (Python 3.10 to 3.12):
uv pip install langflow
- Install with pip (Python 3.10 to 3.12):
pip install langflow
- Cloud: DataStax Langflow is a hosted environment with zero setup. Sign up for a free account.
- Self-managed: Run Langflow in your environment. Install Langflow to run a local Langflow server, and then use the Quickstart guide to create and execute a flow.
- Hugging Face: Clone the space using this link to create a Langflow workspace.
⭐ 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.