Langflow is a powerful tool for building and deploying AI-powered agents and workflows.
http://www.langflow.org
f091d6373c* feat: add selected_output property to Component and update validation logic * feat: add selected_output property to various components and update related logic * fix: improve error handling in JSON processing and update type hints * refactor: clean up Makefile and reorder JSON properties in Vector Store RAG.json * Removed the update_selected_outputs target from the Makefile to streamline the build process. * Reordered properties in Vector Store RAG.json for consistency, ensuring "selected_output" appears before "type" in multiple entries. * chore: remove add_selected_outputs.py script * Deleted the add_selected_outputs.py script, which was responsible for adding selected_output fields to Langflow JSON template files. This script is no longer needed as part of the project. * chore: clean up Makefile by removing unnecessary blank line * Removed an extra blank line in the Makefile to improve readability and maintain consistency. * chore: tidy up Makefile by adding a blank line for better readability * Added a blank line before the help target in the Makefile to enhance readability and maintain consistency in formatting. * chore: remove unnecessary blank line in Makefile * Eliminated an extra blank line before the help target in the Makefile to enhance readability and maintain consistency in formatting. * [autofix.ci] apply automated fixes * fix(GenericNode): update output selection logic to use selected_output name * Modified the logic for selecting the initial output in GenericNode to match the selected_output name from the data object. * Adjusted the return logic in NodeOutputs to ensure it correctly handles the selected output state. * fix(GenericNode): refine output selection logic to prioritize selected outputs * Updated the output selection logic in the cleanEdges function to filter for selected outputs before finding the matching output by name. This change enhances the accuracy of output handling for generic nodes. * updated blog writer * fix: update Memory Chatbot configuration for improved message handling - Adjusted JSON structure for Memory Chatbot to ensure correct output types and display names. - Added new input fields for sender type and refined existing fields for clarity. - Enhanced message retrieval methods to support dynamic output based on selected modes. - Improved overall structure for better integration with Langflow components. * Update src/backend/base/langflow/custom/custom_component/component.py Co-authored-by: Gabriel Luiz Freitas Almeida <gabriel@langflow.org> * [autofix.ci] apply automated fixes * Ruff linting error fix * [autofix.ci] apply automated fixes * fix: Update test to reflect change in heading from "OpenAi" to "Language Model" --------- Co-authored-by: autofix-ci[bot] <114827586+autofix-ci[bot]@users.noreply.github.com> Co-authored-by: Lucas Oliveira <lucas.edu.oli@hotmail.com> Co-authored-by: Cristhian Zanforlin Lousa <cristhian.lousa@gmail.com> Co-authored-by: Gabriel Luiz Freitas Almeida <gabriel@langflow.org> Co-authored-by: Eric Hare <ericrhare@gmail.com> |
||
|---|---|---|
| .cursor/rules | ||
| .devcontainer | ||
| .github | ||
| .vscode | ||
| deploy | ||
| docker | ||
| docker_example | ||
| docs | ||
| scripts | ||
| src | ||
| test-results | ||
| .coderabbit.yaml | ||
| .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.