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Repository Overview (README excerpt)
Crawler viewThe HUD SDK is an open-source Python toolkit for building, evaluating, and training AI agents. Use a unified API for any model provider, wrap your code as MCP environments, run A/B evals at scale, and train with reinforcement learning. To learn more, check out our Documentation and API Reference. Install Get your API key at hud.ai and set it: > For CLI tools ( , , etc.): Usage Unified Model API Use Claude, GPT, Gemini, or Grok through one OpenAI-compatible endpoint: Every call is traced at hud.ai. → Docs Environments Turn your code into tools agents can call. Define how to evaluate them: The agent runs between the yields. First yield sends the prompt, second yield scores the result. → Docs · Templates A/B Evals Test different models. Repeat runs to see the distribution: **Variants** test configurations. **Groups** repeat for distribution. Results stream to hud.ai. → Docs Deploy & Train Push to GitHub, connect on hud.ai, run at scale: Every run generates training data. Use it to fine-tune or run RL. → Docs Links • 📖 Documentation • ⌨️ CLI Reference • 🏆 Leaderboards • 🌐 Environment Templates • 🤖 Supported Models • 💬 Discord Enterprise Building agents at scale? We work with teams on custom environments, benchmarks, and training. 📅 Book a call · 📧 founders@hud.ai Contributing We welcome contributions! See CONTRIBUTING.md. Key areas: Agents · Tools · Environments Citation MIT License · LICENSE