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Stopping Runaway AI Loops: Implementing Enterprise FinOps and Observability with PolicyAware

KRISHNA KISHOR TIRUPATI 2026年07月31日 08:23 0 次阅读 来源:Dev.to

Autonomous agents don't just fail loudly—they fail expensively. A single misconfigured retry loop between an agent and an LLM can generate thousands of redundant tool calls and API requests before anyone notices, turning a minor logic bug into a five-figure cloud bill. PolicyAware is built to be the operational safety net that catches this class of failure before it reaches your finance team's dashboard. 1. The Recursive Agent Crisis Every SRE and platform engineer who has run agentic workloads in production has a version of this story. An agent is wired to call an LLM, interpret the response, and take an action—often invoking another tool, which produces output that gets fed straight back into the same LLM. Under normal conditions this loop terminates in a few steps. Under a bad prompt, a malformed tool response, or a subtle logic error, it doesn't. The agent gets stuck reasoning in circles: it calls a tool, receives an ambiguous or malformed result, decides the task is incomplete, and calls the LLM again to "retry." Each retry consumes tokens, each tool call hits a downstream API, and there is no natural circuit breaker unless one has been explicitly engineered. Within minutes, a single stuck session can produce: Thousands of duplicate or contradictory API calls to internal and third-party services. Sustained LLM token consumption that dwarfs normal daily usage. Cascading load on downstream systems that were never designed for machine-speed request volume. By the time monitoring dashboards catch the anomaly—if they catch it at all—the damage is already done: a runaway bill, a rate-limited API partner, or a compromised production database from thousands of unchecked write attempts. Traditional APM tools tell you a service is under load; they don't tell you an autonomous agent is the one generating that load, or why. This is why the recursive agent crisis is fundamentally a governance problem, not just a monitoring problem. Rate limits and cost alerts fire after the

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