You shipped your LLM app — now you're debugging it with print(). You can't see what the model actually received, why it answered the way it did, or what each call cost. Currai fixes that: it traces every prompt, token, and tool call in one view, so you can debug and track spend with confidence — and A/B test prompt versions on live traffic to see which one actually wins. Drop in the Python or TypeScript SDK and your first trace lands in ~5 minutes, with zero infrastructure to run.