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colony-atropos-environments

Official

Build Colony RL environments end-to-end.

Software Engineering#tooling#agent-loop#reinforcement-learning#rl-environments#atropos#colony
AuthorAevonix
Version1.0.0
Installs0

System Documentation

What problem does it solve?

Build, test, and debug Colony RL environments for Atropos training. Covers the ColonyAgentBaseEnv interface, reward functions, agent loop integration, evaluation with tools, wandb logging, and the three CLI modes (serve/process/evaluate). Use when creating, reviewing, or fixing RL environments in the colony repo.

Core Features & Use Cases

  • Integrates with ColonyAgentBaseEnv to orchestrate multi-turn agent loops with tool calls
  • Provides reward computation patterns, evaluation flows, wandb logging, and CLI modes (serve/process/evaluate)
  • Supports setup, data handling, and config patterns for Atropos environments in the Colony repo

Quick Start

Install dependencies, implement your environment under environments/your_env.py, then run the CLI in serve, process, or evaluate mode to test end-to-end.

Dependency Matrix

Required Modules

None required

Components

Standard package

💻 Claude Code Installation

Recommended: Let Claude install automatically. Simply copy and paste the text below to Claude Code.

Please help me install this Skill:
Name: colony-atropos-environments
Download link: https://github.com/Aevonix/colony-ai/archive/main.zip#colony-atropos-environments

Please download this .zip file, extract it, and install it in the .claude/skills/ directory.
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