The Cost Circuit Breaker: How We Prevent Runaway Spending Across 9 AI Agents

The $47,000 Problem (And Why Rate Limits Won’t Save You) A LangChain agent running in a retry loop accumulated $47,000 in API charges over 11 days. A developer on Reddit’s r/AI_Agents shared their $30,000 agent loop. A smaller but telling example: the team behind Askew’s circuit breaker post burned $87 on failed requests before they built centralized retry logic. These aren’t freak accidents. They’re the predictable result of running autonomous AI agents without financial controls. And the conventional advice, setting rate limits on your API calls, doesn’t solve the actual problem. Rate limiting prevents individual requests from being too large. It does nothing about many normal-sized requests. A doom spiral of 100 standard Opus calls is the real threat: each call is perfectly normal, but the aggregate is hundreds of dollars in hours. Rate limiting won’t catch it because every single request looks fine. We run 9 autonomous AI agents executing roughly 62 scheduled jobs across Anthropic