7a87880e49* test: add concurrent streaming request tests for chat input type Implemented a new test for concurrent streaming requests to the run endpoint with chat input type. Added a helper coroutine to validate the streaming response, ensuring proper event handling and result verification. This enhances the test coverage for the streaming functionality. * refactor: replace session_getter with session_scope in API key CRUD operations Updated the API key CRUD operations to utilize session_scope instead of session_getter for better session management. This change enhances the clarity and robustness of the database interactions. * test: enhance assertions and error handling in streaming tests Refactored assertions in the streaming tests to provide clearer error messages and improve robustness. Added error handling for JSON parsing in the stream response and ensured that all expected fields are validated with informative messages. Updated the test for concurrent streaming requests to use the correct project ID and modified input values for better clarity. * test: refactor get_starter_project fixture for improved session management and data handling Updated the `get_starter_project` fixture to use `session_scope` for better session management. Enhanced the flow data processing by replacing the OpenAI API key and ensuring the `load_from_db` flag is set to false, improving robustness and clarity in test setup. * [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 powerful tool for building and deploying AI-powered agents and workflows. It provides developers with both a visual authoring experience and a built-in API server that turns every agent into an API endpoint 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 to get started quickly and iterate.
- Access to Code so developers can tweak any component using Python.
- Playground to immediately test and iterate on their flows with step-by-step control.
- Multi-agent orchestration and conversation management and retrieval.
- Deploy as an API or export as JSON for Python apps.
- Observability with LangSmith, LangFuse and other integrations.
- Enterprise-ready security and scalability.
⚡️ Quickstart
Langflow works with Python 3.10 to 3.13.
Install with uv (recommended)
uv pip install langflow
Install with pip
pip install langflow
📦 Deployment
Self-managed
Langflow is completely open source and you can deploy it to all major deployment clouds. Follow this guide to learn how to use Docker to deploy Langflow.
Fully-managed by DataStax
DataStax Langflow is a full-managed environment with zero setup. Developers can sign up for a free account to get started.
⭐ 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.