* Add tools input to the backend * Add tools type * Add tools component to parameter render * Added tools to langflow supported types * Add tools modal * Instantiate tools component in parameter render * Removed div when there is not any visible actions * Added margin * Add ComboBoxItem and ListItem components for enhanced selection UI * Update ComboBoxItem to display item description and enhance ToolsModal layout * Refactor ToolsModal header styling for improved layout and icon padding * Enhance ComboBoxItem layout and styling; update ToolsModal size and class for better responsiveness * Changed display name * Adds truncate for badges * Adds custom styling for table used for Tools modal * Added Tools modal with AgGrid * Changed button * made name and description editable * Parse values for saving * Add focused row without triggering checkbox click * [autofix.ci] apply automated fixes * Added types for tools modal * added toolsTable with sidebar on toolsModal * Added changes to work with MCP * update component.py to add display name and display description in tool mode * removed editing directly * Fixed editing * removed to upper case * Make editing apply filters * Adds design changes for MCP * Adds new design and null check * 📝 (frontend): add data-testid attribute to elements for testing purposes 🔧 (frontend): update data-testid attribute values for consistency and clarity in testing ✅ (frontend): update tests to use correct selectors and improve test coverage for editing tools functionality * ✅ (edit-tools.spec.ts): update test to use a more reliable method for checking visibility of an element * ✅ (edit-tools.spec.ts): add "@components" tag to the test to categorize it under components for better organization and filtering in test suites. * Updated design with new design * update padding * send args to tools data * Implemented showing arguments passed to LLM in tool mode * add componentg name to description * update package lock * fixed tests * fixed backend test * fixed backend test * fixed formatting * Fixed frontend tests * updated font sizes for badges on actions and styling on sortable list * Update tool mode design * added tooltips for info * tool name update * Update component_tool.py * styling utils * default values change * fixed tools test * fix format issues --------- Co-authored-by: deon-sanchez <deon.sanchez@datastax.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: Cristhian Zanforlin Lousa <cristhian.lousa@gmail.com> |
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| .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.