Langflow is a powerful tool for building and deploying AI-powered agents and workflows.
http://www.langflow.org
a88fd9bbb0* ✨ (authContext.tsx): Add functionality to fetch global variables on authentication 🔧 (api.tsx): Replace universal-cookie import with react-cookie for consistency 🔧 (authStore.ts): Replace universal-cookie import with react-cookie for consistency 🔧 (use-get-global-variables.ts): Add check to only fetch global variables if user is authenticated ✨ (use-get-mutation-global-variables.ts): Add mutation function to fetch and update global variables 🔧 (authStore.ts): Replace universal-cookie import with react-cookie for consistency * 📝 (endpoints.py): add feature_flags field to ConfigResponse schema 📝 (endpoints.py): modify get_config function to include feature_flags in the response 📝 (feature_flags.py): add mvp_components field to FeatureFlags settings 📝 (schemas.py): add feature_flags field to ConfigResponse schema * ✨ (use-get-config.ts): Add feature_flags field to ConfigResponse interface to support feature flags in the application 🔧 (utilityStore.ts): Add featureFlags field and setFeatureFlags function to utilityStore to manage feature flags in the application 💡 (extraSidebarComponent/index.tsx): Use featureFlags from utilityStore to conditionally render components based on feature flags in ExtraSidebar component * ♻️ (frontend/package-lock.json): remove extraneous flag from is-unicode-supported package to clean up unnecessary information * ✨ (integration-side-bar.spec.ts): Add integration tests to ensure correct visibility of integrations in the sidebar based on the value of mvp_components. * ✨ (integration-side-bar.spec.ts): update integration-side-bar tests to use feature_flags object for mvp_components flag for better readability and maintainability. * ✨ (integration-side-bar.spec.ts): add a 4-second delay before making the API call to improve test reliability * [autofix.ci] apply automated fixes * Update src/backend/base/langflow/api/v1/schemas.py Co-authored-by: Gabriel Luiz Freitas Almeida <gabriel@langflow.org> * Update src/backend/base/langflow/api/v1/endpoints.py Co-authored-by: Gabriel Luiz Freitas Almeida <gabriel@langflow.org> * formata * [autofix.ci] apply automated fixes * ✨ (extraSidebarComponent/index.tsx): update featureFlags property access to use optional chaining for better error handling 📝 (stop-building.spec.ts): add ua-parser-js import to get user agent information and update control key based on user's operating system for better user experience. Also, refactor code to improve readability and add comments for better understanding. --------- Co-authored-by: autofix-ci[bot] <114827586+autofix-ci[bot]@users.noreply.github.com> Co-authored-by: Gabriel Luiz Freitas Almeida <gabriel@langflow.org> |
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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 pip (Python 3.10 or greater):
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.