* feat: implement direct event delivery method on the frontend - Updated buildFlow function to include eventDelivery parameter, allowing for "direct" event delivery mode. - Modified NodeStatus and IOModal components to utilize the new eventDelivery setting. - Expanded flowStore and buildUtils to support event delivery options, improving flexibility in event handling. - Added "direct" option to event delivery types in enums for better configurability. - Updated tests to cover new event delivery modes. * Update src/frontend/src/controllers/API/api.tsx * Update src/frontend/src/utils/buildUtils.ts * refactor: remove "direct" from event delivery modes in tests - Updated the event delivery modes in the withEventDeliveryModes utility to exclude "direct", aligning with recent changes in event handling behavior. - This change simplifies the testing setup and ensures consistency with the current application logic. * feat: add "direct" to event delivery modes in tests - Expanded the event delivery modes in the withEventDeliveryModes utility to include "direct", enhancing the testing coverage for this delivery method. - This update ensures that tests reflect the latest event handling capabilities and improves the robustness of the testing framework. --------- Co-authored-by: Cristhian Zanforlin Lousa <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.