hermes-atropos-environments

What problem does it solve?

This Skill provides a structured framework for creating, testing, and debugging Reinforcement Learning (RL) environments specifically designed for the Hermes Agent, integrating seamlessly with the Atropos training framework.

Core Features & Use Cases

• Environment Development: Implement custom RL environments adhering to the HermesAgentBaseEnv interface.
• Integration: Ensure environments correctly integrate with the agent loop, tool resolution, and reward mechanisms.
• Testing & Debugging: Utilize CLI modes (serve, process, evaluate) for thorough testing and performance analysis.
• Use Case: A developer needs to create a new RL environment for training Hermes Agent to perform complex multi-turn tasks involving tool use, ensuring it can be evaluated and iterated upon efficiently.

Quick Start

Use the hermes-atropos-environments skill to create a new RL environment by implementing the required methods in environments/your_env.py.