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hermes-atropos-environments

Build and validate Hermes Agent RL environments integrated with the Atropos training framework.

Updated Apr 20, 2026
Search Tags:#evaluation#tool-calling#agent-loop#wandb#rl-environments#atropos#hermes-agent
One-click install
npx skills add https://github.com/matthew-johnson/hermes-agent --skill hermes-atropos-environments-matthew-johnson
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: hermes-atropos-environments
Source: https://github.com/matthew-johnson/hermes-agent/tree/main/optional-skills/mlops/hermes-atropos-environments
Command: npx skills add https://github.com/matthew-johnson/hermes-agent --skill hermes-atropos-environments-matthew-johnson

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes references (resource) components.

What problem does it solve?

Hermes Agent Atropos Environments provide a structured way to build, test, and debug RL environments that integrate with the Atropos training framework. They cover the HermesAgentBaseEnv interface, reward function design, agent-loop orchestration with tool calls, evaluation workflows with wandb logging, and the three CLI modes (serve, process, evaluate). This Skill helps teams create robust, production-ready RL environments in the hermes-agent repo.

Core Features & Use Cases

  • Environment scaffolding: Templates and base implementations that align with HermesAgentBaseEnv and Atropos integration.
  • Reward & evaluation workflows: Implement setup, get_next_item, format_prompt, compute_reward, evaluate, and wandb_log to support end-to-end agentic evaluation.
  • CLI and tooling: Supports serve, process, and evaluate modes for offline data generation, live testing, and benchmarking.
  • Use Case: A software team building a new Atropos-trained agent can rapidly scaffold and validate environments that exercise multi-turn tool use and robust evaluation.

Quick Start

Create and validate a new Atropos-enabled Hermes environment by implementing the required methods and wiring it into the CLI, then run the evaluation loop to verify tool use and metrics.

Frequently Asked Questions about hermes-atropos-environments

High-intent search queries and answers about installing and using this skill.

FAQPage Schema
How do I build RL environments for the Atropos training framework?▼

To build RL environments for the Atropos training framework, you scaffold templates implementing the HermesAgentBaseEnv interface, then define environment configs and reward functions to support agent-loop orchestration.

What methods are required to implement an Atropos agent evaluation workflow?▼

An Atropos agent evaluation workflow requires implementing setup, get_next_item, format_prompt, compute_reward, evaluate, and wandb_log methods to support end-to-end agentic evaluation and metrics logging.

How does the Atropos CLI support offline data generation and live testing?▼

The Atropos CLI supports offline data generation and live testing through three modes: serve, process, and evaluate, which handle data generation, live testing, and benchmarking respectively.

Can I integrate multi-turn tool use into a custom Hermes agent environment?▼

Yes, you can integrate multi-turn tool use into a custom Hermes agent environment by utilizing the provided templates and tooling support to exercise tool calls within the agent-loop orchestration.

Does wandb logging work with Hermes Agent reward functions?▼

Yes, wandb logging works with Hermes Agent reward functions by implementing the wandb_log method, allowing you to capture metrics during end-to-end agentic evaluation workflows.

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