* create an IO bundle * Update styleUtils.ts * [autofix.ci] apply automated fixes * change folder names * [autofix.ci] apply automated fixes * Update test_endpoints.py * refactor: update test IDs for input/output components in specs * test: update test IDs for chat input/output components in decisionFlow.spec.ts * test: update test IDs for input/output components in generalBugs-shard-5.spec.ts * Update styleUtils.ts * fix input and output * update input and output * 🐛 (typescript_test.yml): increase the maximum shard count to 40 to improve test distribution and efficiency * fix FE Tests Input output component Ids * [autofix.ci] apply automated fixes * ✅ (filterEdge-shard-1.spec.ts): update test to log error message when element is not visible before asserting visibility * ✅ (notifications.spec.ts): update test selectors for better clarity and consistency in the notifications feature test suite * fix conflicts * update json * update jsons * update test chat output * fix tests * fix fe tests * update test * update json * [autofix.ci] apply automated fixes * fix tests * fix tests * [autofix.ci] apply automated fixes * update tests * update test * [autofix.ci] apply automated fixes * fix tests * fix format * [autofix.ci] apply automated fixes * fix test --------- Co-authored-by: Edwin Jose <edwin.jose@datastax.com> Co-authored-by: autofix-ci[bot] <114827586+autofix-ci[bot]@users.noreply.github.com> Co-authored-by: deon-sanchez <deon.sanchez@datastax.com> Co-authored-by: Deon Sanchez <69873175+deon-sanchez@users.noreply.github.com> Co-authored-by: cristhianzl <cristhian.lousa@gmail.com> |
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| .cursor/rules | ||
| .devcontainer | ||
| .github | ||
| .vscode | ||
| deploy | ||
| docker | ||
| docker_example | ||
| docs | ||
| scripts | ||
| src | ||
| test-results | ||
| .composio.lock | ||
| .env.example | ||
| .eslintrc.json | ||
| .gitattributes | ||
| .gitignore | ||
| .pre-commit-config.yaml | ||
| CODE_OF_CONDUCT.md | ||
| CONTRIBUTING.md | ||
| DEVELOPMENT.md | ||
| eslint.config.js | ||
| LICENSE | ||
| Makefile | ||
| pyproject.toml | ||
| README.md | ||
| render.yaml | ||
| uv.lock | ||
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.