hermes-atropos-environments

Build Atropos RL environments by integrating HermesAgentBaseEnv, defining environment interfaces, and configuring multi-turn agent loops with tool calling mechanisms. This Skill provides a structured blueprint for the hermes-agent repo to develop, test, and debug these training pipelines.

Reward calculation in a Hermes Atropos RL environment involves defining custom reward functions within the environment interface to evaluate multi-turn agent interactions. This Skill guides the implementation and validation of these computations during Atropos training workflows.

The serve, process, and evaluate CLI modes are operational phases within the Atropos framework used to manage training pipelines, process environment data, and run evaluations. This Skill applies these modes across development, testing, and debugging sessions for Hermes agents.

Yes, you can integrate wandb logging into Hermes agent experiments to track training metrics and evaluation results. The Skill includes specific guidance for configuring wandb logging within Atropos-based training pipelines and debugging sessions.

Validate a Hermes Agent Loop with tool integration by running a basic evaluation using the evaluate CLI mode to verify tool calling mechanisms. This Skill enables quick setup of a minimal environment to test multi-turn interactions and reward computations.

An Atropos environment interface may fail during multi-turn agent debugging due to incorrect reward computations or misconfigured tool calling within the agent loop. Use this Skill to review environment definitions, validate HermesAgentBaseEnv integration, and fix pipeline errors.