ca595ac7fb* feat: filter out base components path in custom component loading * revert changes to allow testing the function * feat: add module_name parameter to custom component template functions * feat: include full module name in component template creation * feat: add module metadata to various starter project JSON files * feat: add code hash generation for custom component templates * test: add unit tests for code hash and module metadata functionality * feat: add code hash to metadata in various starter project JSON files * feat: refactor code hash generation to accept source code and class name * feat: implement loading strategy for custom components in settings service * Update metadata for various starter project JSON files to include code hashes and module references for ChatInput and ChatOutput components. This enhances traceability and consistency across the project configurations. * refactor: improve _generate_code_hash function for better error handling and clarity - Simplified the logic to generate a SHA256 hash of the source code. - Added explicit error handling for empty source code, encoding issues, and type errors. - Updated docstring to reflect changes in argument descriptions and added information about raised exceptions. * test: add unit tests for metadata functionality in custom utils - Introduced tests for the _generate_code_hash function, covering basic hash generation, error handling for empty and None source, hash consistency, and uniqueness for different code. - Added tests to verify metadata addition in template building functions, ensuring that module names and code hashes are correctly included in the metadata of custom components. --------- Co-authored-by: Edwin Jose <edwin.jose@datastax.com> |
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| .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 | ||
| 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.