hermes-atropos-environments

To create custom reinforcement learning environments for the Hermes Agent, implement the required methods in your environment file using the HermesAgentBaseEnv interface within the Atropos training framework.

The HermesAgentBaseEnv interface provides a structured framework for developing, testing, and debugging reinforcement learning environments to ensure correct integration with the agent loop and reward mechanisms.

You can test and evaluate RL environments using the Atropos framework by utilizing its CLI-driven modes for serving, processing, and evaluating environments to perform thorough testing and performance analysis.

Yes, the framework ensures environments correctly integrate with agent loop orchestration, custom tool resolution, and reward function design to support complex multi-turn tasks involving tool use.

No external dependencies are required to build Atropos training environments, as the Skill provides the necessary scripts and references to facilitate environment development directly within the framework.