ToolOps: Stop Rewriting the Same Boilerplate Every Time You Build an AI Agent

You've built the demo. It works. The LLM responds, the tools fire, the output looks great. Then you push it to production — and everything breaks. API calls fail with no retry logic. Identical queries hammer your LLM endpoint ten times per minute, burning through credits. A single bad response cascades into an agent loop. You have no idea what's happening inside because there's nothing to look at. So you start writing infrastructure. A retry decorator here. A cache manager there. A circuit-break