HUD Skill Reference

Product Summary

HUD is a platform for building RL environments for AI agents. An environment wraps your code as tools agents can call and defines scenarios that evaluate what agents do. Environments spin up fresh and isolated for every evaluation—no shared state, fully reproducible. Use HUD to evaluate model performance, build frontier-grade post-training data, and train specialized agents on your tasks.

Key files and commands:

• env.py — Define tools and scenarios
• tasks.py or tasks/ — Define evaluation tasks
• Dockerfile.hud — Container definition (auto-generated)
• hud init — Scaffold new environment
• hud deploy — Build and deploy to platform
• hud eval — Run agents locally or remotely
• hud sync tasks — Push tasks to platform
• Gateway: inference.hud.ai — One endpoint for all models (Claude, GPT, Gemini, Grok, etc.)

Primary docs: https://docs.hud.ai