Langflow is a powerful tool for building and deploying AI-powered agents and workflows.
http://www.langflow.org
35d62a033f* feat: Enhance URL component with recursive crawling and advanced options. - Implement advanced URL loading with configurable depth, domain prevention, and async options. * chore: move component to a new file and restore the old one * test: add test to new component * [autofix.ci] apply automated fixes * feat: enhance URLComponent for recursive URL loading - Updated URLComponent to support recursive loading and parsing of child links from a root URL. - Introduced new inputs: max_depth for controlling link traversal depth and prevent_outside to restrict crawling to the same domain. - Replaced AsyncHtmlLoader with RecursiveUrlLoader for improved document loading. - Enhanced error handling and logging for better debugging. - Updated output methods to return structured data and text content more effectively. * chore: delete component * chore: update component tests * ✨ (freeze.spec.ts): refactor click actions to improve readability and maintainability ♻️ (loop-component.spec.ts): refactor click actions to improve readability and maintainability 🔧 (chatInputOutputUser-shard-1.spec.ts): add click action to fit view element for better user experience * 🐛 (url.py): fix issue where data was being returned before error handling, causing potential errors to be missed 🐛 (freeze.spec.ts): fix incorrect test assertions for text comparison, ensuring correct comparison logic is applied * [autofix.ci] apply automated fixes * fix: ruff error * ✨ (stop-building.spec.ts): refactor test to use click method instead of hover and mouse events for better readability and reliability ✨ (loop-component.spec.ts): update test to use consistent naming convention for handle-urlcomponent-shownode-data-right ✨ (chatInputOutputUser-shard-1.spec.ts): update test to use consistent naming convention for handle-urlcomponent-shownode-message-right and handle-urlcomponent-shownode-dataframe-right * ✨ (chatInputOutputUser-shard-1.spec.ts): add additional wait time before running and verifying data output to ensure proper loading and display of data * fix: playwrite test * fix: ruff error * ✅ (auto-login-off.spec.ts): add delay before continuing test to ensure proper execution ✅ (freeze-path.spec.ts): increase timeout for certain actions to prevent test failures due to timing issues ✅ (freeze-path.spec.ts): add delay before continuing test to ensure proper execution ✅ (dropdownComponent.spec.ts): refactor test to use a more reliable assertion for dropdown value length * ✨ (freeze.spec.ts): add additional wait time before clicking on a button to improve test stability ✨ (freeze.spec.ts): increase timeout for waiting for "built successfully" text to appear to improve test reliability ✨ (globalVariables.spec.ts): add initial setup function to skip certain steps and improve test efficiency --------- Co-authored-by: italojohnny <italojohnnydosanjos@gmail.com> Co-authored-by: autofix-ci[bot] <114827586+autofix-ci[bot]@users.noreply.github.com> Co-authored-by: Edwin Jose <edwin.jose@datastax.com> 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.