Langflow is a powerful tool for building and deploying AI-powered agents and workflows.
http://www.langflow.org
b1ae5e4159* refactor: enhance database session management in custom components - Updated `get_variables` method in `CustomComponent` to accept an optional session parameter, allowing for session reuse and reducing connection pool exhaustion. - Modified `update_params_with_load_from_db_fields` to pass the session when calling `get_variables`. - Adjusted `get_instance_results` to support session management for database operations. - Increased connection pool size and max overflow in settings for improved performance under load. * [autofix.ci] apply automated fixes * Prefer single session by default: * remove unused session * Revert pool size changes * refactor: update get_variables method for backward compatibility - Added a new async `get_variables` method in `CustomComponent` to maintain backward compatibility with the deprecated method, ensuring it calls the existing `get_variable` method with session management. - This change enhances the robustness of the component while preserving existing functionality. * refactor: remove unused session import from endpoints.py - Eliminated the unused `session_scope` import from the `endpoints.py` file to streamline the code and improve clarity. This change contributes to maintaining a clean and efficient codebase. * refactor: update deprecated variables method in CustomComponent - Modified the `variables` method to call the new `get_variables` method for improved clarity and consistency. This change maintains backward compatibility while encouraging the use of the updated async method. * refactor: update method calls to use get_variables because we don't have session in update_build_config - Replaced instances of the deprecated `get_variable` method with the new `get_variables` method in `LMStudioEmbeddingsComponent`, `LMStudioModelComponent`, and `ChatOllamaComponent`. This change enhances code clarity and maintains consistency across components while ensuring backward compatibility. --------- Co-authored-by: autofix-ci[bot] <114827586+autofix-ci[bot]@users.noreply.github.com> Co-authored-by: Jordan Frazier <jordan.frazier@datastax.com> Co-authored-by: Gabriel Luiz Freitas Almeida <gabriel@langflow.org> Co-authored-by: Carlos Coelho <80289056+carlosrcoelho@users.noreply.github.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 | ||
| Makefile.frontend | ||
| pyproject.toml | ||
| README.md | ||
| render.yaml | ||
| SECURITY.md | ||
| uv.lock | ||
Caution
Users must update to Langflow >= 1.3 to protect against CVE-2025-3248.
Langflow is a powerful tool for building and deploying AI-powered agents and workflows. It provides developers with both a visual authoring experience and built-in API and MCP servers that turn every workflow into a tool 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 interface to quickly get started and iterate .
- Source code access lets you customize any component using Python.
- Interactive playground to immediately test and refine your flows with step-by-step control.
- Multi-agent orchestration with conversation management and retrieval.
- Deploy as an API or export as JSON for Python apps.
- Deploy as an MCP server and turn your flows into tools for MCP clients.
- Observability with LangSmith, LangFuse and other integrations.
- Enterprise-ready security and scalability.
⚡️ Quickstart
Langflow requires Python 3.10 to 3.13 and uv.
- To install Langflow, run:
uv pip install langflow -U
- To run Langflow, run:
uv run langflow run
- Go to the default Langflow URL at
http://127.0.0.1:7860.
For more information about installing Langflow, including Docker and Desktop options, see Install Langflow.
📦 Deployment
Langflow is completely open source and you can deploy it to all major deployment clouds. To learn how to use Docker to deploy Langflow, see the Docker deployment guide.
⭐ 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.