| .devcontainer | ||
| .github/workflows | ||
| docker_example | ||
| img | ||
| src | ||
| tests | ||
| .gitignore | ||
| build_and_push | ||
| CODE_OF_CONDUCT.md | ||
| CONTRIBUTING.md | ||
| dev.Dockerfile | ||
| docker-compose.yml | ||
| Dockerfile | ||
| LICENSE | ||
| Makefile | ||
| poetry.lock | ||
| pyproject.toml | ||
| README.md | ||
⛓️ LangFlow
~ A User Interface For LangChain ~
LangFlow is a GUI for LangChain, designed with react-flow to provide an effortless way to experiment and prototype flows with drag-and-drop components and a chat box.
📦 Installation
You can install LangFlow from pip:
pip install langflow
Next, run:
langflow
🎨 Creating Flows
Creating flows with LangFlow is easy. Simply drag sidebar components onto the canvas and connect them together to create your pipeline. LangFlow provides a range of LangChain components to choose from, including LLMs, prompt serializers, agents, and chains.
Explore by editing prompt parameters, link chains and agents, track an agent's thought process, and export your flow.
👋 Contributing
We welcome contributions from developers of all levels to our open-source project on GitHub. If you'd like to contribute, please check our contributing guidelines and help make LangFlow more accessible.
📄 License
LangFlow is released under the MIT License. See the LICENSE file for details.