Langflow is a powerful tool for building and deploying AI-powered agents and workflows.
http://www.langflow.org
4ea144eba9* feat: add MockLanguageModel for testing language model interactions - Introduced a new mock implementation of BaseLanguageModel to facilitate unit testing. - Implemented methods to simulate responses and handle message processing. - Added functionality to generate mock responses based on input messages. - Ensured compatibility with existing language model interfaces for seamless integration in tests. * refactor: simplify test_structured_output_component by replacing MagicMock with MockLanguageModel - Removed extensive mock implementations of BaseLanguageModel in tests. - Replaced instances of MagicMock with a new MockLanguageModel for better clarity and maintainability. - Streamlined test cases for structured output generation and error handling. - Ensured compatibility with existing test structure while enhancing readability. * fix: rename utils.py to useful.py to avoid namespace conflict --------- Co-authored-by: italojohnny <italojohnnydosanjos@gmail.com> |
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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 uv (recommended) (Python 3.10 to 3.12):
uv pip install langflow
- Install with pip (Python 3.10 to 3.12):
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.
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👋 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.