Langflow is a powerful tool for building and deploying AI-powered agents and workflows.
http://www.langflow.org
e0f5cfccd8* feat: Add database connection settings configuration Introduce a new `db_connection_settings` dictionary to centralize database connection parameters. Mark `pool_size` and `max_overflow` as deprecated, recommending the use of the new configuration dictionary instead. * refactor: Improve database connection settings handling Add a method to build connection kwargs that merges deprecated settings with the new db_connection_settings, providing a more flexible and backwards-compatible approach to database connection configuration. * fix: Resolve SQLAlchemy async engine pool configuration for SQLite Explicitly set AsyncAdaptedQueuePool for SQLite connections to address potential async engine configuration issues. This ensures proper pool handling when creating database connections, particularly for SQLite databases. * test: Add mock testing for bundle loading from GitHub URLs Enhance test coverage for `load_bundles_from_urls()` by introducing a mock fixture to simulate zip file content and mocking HTTP requests. This allows testing the bundle loading mechanism without making actual network calls. * [autofix.ci] apply automated fixes * test: Enhance GitHub URL detection test with mocking and improved coverage Refactor `test_detect_github_url` to use AsyncMock and patch for more robust testing of GitHub URL detection, including verification of API calls and handling of different URL scenarios. --------- 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.