What causes an AI agent to loop while trying to route incident alerts?

Question

Accepted Answer

An AI agent might loop while routing incident alerts primarily due to circular routing dependencies, where an alert is directed to a destination that subsequently redirects it back for re-evaluation. This often stems from ambiguous or conflicting routing rules lacking clear precedence, causing the agent to continuously re-apply different logic to the same incident. A lack of proper state tracking or incident history is another common cause, preventing the agent from recognizing that it has already processed a specific alert, thus leading to repeated attempts. Furthermore, insufficient termination conditions within the routing algorithm allow an alert to persist in a processing state without a defined exit strategy, while external system feedback loops or default "no-match" actions that funnel incidents back into the agent's input stream can also perpetuate endless cycles.