Implement multi-layer circuit breakers, payload hashing, and financial cutoffs before an autonomous agent drains your backend.
The Bottleneck in Production
Autonomous AI agents running in tool-use loops fail unpredictably. When an LLM encounters an unexpected schema, a transient network error, or an ambiguous prompt, it often enters a hallucinated retry storm.
In standard web apps, a runaway loop hits a rate limit or returns a 500 Internal Server Error. In agentic architectures, an unconstrained ReAct loop executes external API calls continuously, burning tokens, exhausting upstream quotas, and running up massive cloud bills in minutes.
Here is the anti-pattern running in far too many codebases:
