How do you design autonomous LLM system recovery mechanisms?

Autonomous recovery systems detect failures and automatically restore service using fallback models, retries, or system reconfiguration.

Autonomous recovery in LLMOps involves monitoring system health signals and automatically triggering recovery workflows. These include retrying failed requests, switching models, reloading prompts, or disabling faulty subsystems. Recovery systems are often rule-driven but can also be AI-assisted for diagnosing failures.