ART

Why we included this project

ART suits teams whose agents work most of the time but not reliably enough to trust in production. It puts GRPO reinforcement learning behind a small Python client, so you can fine-tune a multi-turn agent on its own experience with your actual tasks and fix the specific mistakes you spot in QA or live traffic, instead of retraining from scratch. The client runs anywhere Python does while the server handles the GPU work, which keeps the setup simple even without RL expertise or a local GPU. Research agents, voice agent projects, and any multi-step LLM workflow that misbehaves unpredictably are the natural fits. In short, it turns reliability problems into targeted training runs.