Langflow is a powerful tool for building and deploying AI-powered agents and workflows.
http://www.langflow.org
fd73cdcd7e* url component update. * update to url component and tests * Make directory component legacy * Only output dataframe from file component * Update base_file.py * Update description and output * [autofix.ci] apply automated fixes * [autofix.ci] apply automated fixes (attempt 2/3) * Deprecate Processing Components. * Move Tool and CQL Astra to bundle * Comprehensive improvements to Save to File * [autofix.ci] apply automated fixes * [autofix.ci] apply automated fixes (attempt 2/3) * Clean up description, dont unlink file * Remove print statement * fix: Clean up the text output of the URL component (#8158) * Clean text output from url component * [autofix.ci] apply automated fixes * Update data.py * Make a visible function * URL component cleaning refactor * Update data.py * [autofix.ci] apply automated fixes * Update with chat output fixes and template updates * [autofix.ci] apply automated fixes * [autofix.ci] apply automated fixes * Fix linting issues --------- Co-authored-by: autofix-ci[bot] <114827586+autofix-ci[bot]@users.noreply.github.com> * revert datastax component bundle * Restore the two tools as well * Two more template updates * Update Vector Store RAG.json * Update Vector Store RAG.json * Update __init__.py * Update directory.py * Update url.py * [autofix.ci] apply automated fixes * [autofix.ci] apply automated fixes (attempt 2/3) * Update test_basic_prompting.py * Unit test updates * Fix unit tests one more time * Fix conversion in safe convert * Update chat.py * Temporary disabling of save to file tests * [autofix.ci] apply automated fixes * [autofix.ci] apply automated fixes (attempt 2/3) * Fix some more unit tests * Update test_split_text_component.py * [autofix.ci] apply automated fixes * Update test_url_component.py * Update file component outputs in tests * Fix starter projects with old data to message * Update test_split_text_component.py * fix slider inputs * Update data.py * [autofix.ci] apply automated fixes * Update data.py * 🐛 (typescript_test.yml): increase the maximum shard count to 40 to improve test distribution and performance * Rename safe file component * [autofix.ci] apply automated fixes * Make sure we import the right save to file * 🔧 (freeze.spec.ts): update test description to match the changed element's test ID 🔧 (Blog Writer.spec.ts): add click event to test file input element 🔧 (edit-tools.spec.ts): update assertion to check if rowsCount is greater than 2 instead of 3 🔧 (loop-component.spec.ts): add import statement for uploadFile function 🔧 (tool-mode.spec.ts): update targetPosition coordinates for dragTo action 🔧 (chatInputOutputUser-shard-1.spec.ts): update test description to match the changed element's test ID * ✨ (stop-building.spec.ts): update click target for better test coverage and accuracy ✨ (fileUploadComponent.spec.ts): adjust drag target position and update click targets for improved testing flow and coverage * 🐛 (typescript_test.yml): adjust the maximum shard count to 10 to prevent excessive parallelization and improve test performance * Two url component types * Update ruff formatting * [autofix.ci] apply automated fixes * Revert name of method * 🐛 (typescript_test.yml): increase the maximum shard count to 40 to improve test distribution and performance * ✨ (freeze.spec.ts): update test to use correct testid for element ✨ (stop-building.spec.ts): update test to use correct testid for element ✨ (loop-component.spec.ts): update test to use correct testid for element ✨ (chatInputOutputUser-shard-1.spec.ts): update tests to use correct testid for element * ✨ (freeze.spec.ts, stop-building.spec.ts, loop-component.spec.ts, chatInputOutputUser-shard-1.spec.ts): update test selectors to match changes in the frontend UI, improving test reliability and maintainability. * ✨ (stop-building.spec.ts): update test to use correct testId for clicking element ✨ (loop-component.spec.ts): update test to use correct testId for clicking element ✨ (chatInputOutputUser-shard-1.spec.ts): update multiple tests to use correct testId for clicking element * 📝 (freeze.spec.ts): update test selector to match the correct element on the page for better test accuracy * 🔧 (typescript_test.yml): adjust optimal shard count calculation to ensure a maximum of 10 shards for test execution 🔧 (chatInputOutputUser-shard-1.spec.ts): update test selectors to match changes in the frontend output structure for integration tests * ✨ (chatInputOutputUser-shard-1.spec.ts): update test selectors for better clarity and consistency in the integration tests. --------- Co-authored-by: Eric Hare <ericrhare@gmail.com> Co-authored-by: autofix-ci[bot] <114827586+autofix-ci[bot]@users.noreply.github.com> Co-authored-by: cristhianzl <cristhian.lousa@gmail.com> |
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| CODE_OF_CONDUCT.md | ||
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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.