Langflow is a powerful tool for building and deploying AI-powered agents and workflows.
http://www.langflow.org
3e19a3fd36* refactor: Add _find_matching_output_method to Component class * feat: allow components to be passed in set method * fix: Add test for graph set method with valid component * set value variable to the output callable * refactor: Update test_component.py to use set_component method This commit refactors the test_component.py file in the custom_component directory. The test_set_invalid_input() function has been renamed to test_set_component() to better reflect its purpose. Additionally, the test_set_component() function now sets the agent parameter using the set_component() method instead of raising a ValueError. This change improves the readability and maintainability of the code. * refactor: Fix formatting issue in _build_error_string_from_matching_pairs The _build_error_string_from_matching_pairs method in the Component class had a formatting issue when input types were empty. This commit fixes the issue by adding a check for empty input types and providing an empty list as a fallback. This improves the accuracy and readability of the error string generated by the method. * fix(component.py): add validation to ensure output method is a string to prevent potential runtime errors |
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Langflow is a low-code app builder for RAG and multi-agent AI applications. It’s Python-based and agnostic to any model, API, or database.
Docs - Free Cloud Service - Self Managed
✨ Core features
- Python-based and agnostic to models, APIs, data sources, or databases.
- Visual IDE for drag-and-drop building and testing of workflows.
- Playground to immediately test and iterate workflows with step-by-step control.
- Multi-agent orchestration and conversation management and retrieval.
- Free cloud service to get started in minutes with no setup.
- Publish as an API or export as a Python application.
- Observability with LangSmith, LangFuse, or LangWatch integration.
- Enterprise-grade security and scalability with free DataStax Langflow cloud service.
- Customize workflows or create flows entirely just using Python.
- Ecosystem integrations as reusable components for any model, API or database.
📦 Quickstart
- Install with pip (Python 3.10 or greater):
pip install langflow
- Cloud: DataStax Langflow is a hosted environment with zero setup. Sign up for a free account.
- Self-managed: Run Langflow in your environment. Install Langflow to run a local Langflow server, and then use the Quickstart guide to create and execute a flow.
- Hugging Face: Clone the space using this link to create a Langflow workspace.
⭐ 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.