Agent Lightning: Train agents with RL (no code changes needed)
6 months ago
- #AI Agents
- #Open Source
- #Reinforcement Learning
- Agent Lightning allows training AI agents with reinforcement learning with minimal code changes.
- Supports various agent frameworks including LangChain, OpenAI Agent SDK, AutoGen, CrewAI, and more.
- Enables selective optimization of agents in multi-agent systems.
- Uses algorithms like Reinforcement Learning, Automatic Prompt Optimization, and Supervised Fine-tuning.
- Features a lightweight helper function `agl.emit_xxx()` for easy integration.
- Includes a central hub called LightningStore for managing tasks, resources, and traces.
- Provides a Trainer component to streamline the learning and improvement process.
- Offers compatibility with CPU and GPU tests, examples integration, and dependency checks.
- Encourages contributions under a Contributor License Agreement (CLA).
- Adheres to Microsoft's Open Source Code of Conduct and Responsible AI Standard.
- Licensed under the MIT License.