Stop Runaway LLM Spend: AI Agent Cost Control (Python)

I ran 100 ML experiments overnight with an autonomous AI agent. It worked -- 25% model performance gain, zero human intervention. But before I got comfortable leaving agents running unsupervised, I had to solve one problem first: what happens when an agent loops, hallucinates tool calls, or just keeps going when it should have stopped? The answer, without guardrails, is a large API bill and a lot of regret. So I built AgentGuard -- a Python SDK that enforces budget, token, time, and rate limits on AI agents at runtime.