a19ea7b5c6* feat: add resetStore method to foldersStore for state management ✨ (foldersStore.tsx): Implement resetStore function to clear folders and reset related state variables, enhancing state management capabilities. * feat: add resetStore method to flowsManagerStore for improved state management ✨ (flowsManagerStore.ts): Implement resetStore function to clear flows and reset related state variables, enhancing the store's state management capabilities. * feat: add resetFlowState method to flowStore for enhanced state management ✨ (flowStore.ts): Implement resetFlowState function to clear and reset the flow-related state variables, improving the management of flow state in the application. * feat: enhance logout functionality with state resets and query invalidation ✨ (use-post-logout.ts): Update the useLogout function to reset flow, flows manager, and folder states upon successful logout. Additionally, invalidate and remove related queries to ensure data consistency in the application. * test: add user flow state cleanup test for session management ✨ (user-flow-state-cleanup.spec.ts): Implement a comprehensive test to verify that user flow states are properly cleaned up between sessions. The test includes user creation, flow management, and ensures that the admin cannot see user-specific flows after logout, enhancing the robustness of session handling in the application. * refactor: streamline logout query management in useLogout function 🔧 (use-post-logout.ts): Remove redundant query removal calls in the useLogout function, focusing on invalidating queries to maintain data consistency post-logout. This change simplifies the logout process and enhances code clarity. * 🔧 (user-flow-state-cleanup.spec.ts): remove unnecessary verification step for admin empty state to improve test readability and efficiency * ✨ (user-flow-state-cleanup.spec.ts): improve user flow state cleanup test by adding error handling for clicking on new project button and new flow button to ensure test stability and reliability --------- Co-authored-by: cristhianzl <cristhian.lousa@gmail.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.