Your agent's failures are silent: measuring failure modes in production

Multi-agent systems aim for redundancy and specialization to increase reliability, yet they introduce unique coordination failures that single agents avoid. These issues often intensify as more agents are added. Furthermore, LLM agents frequently exhibit silent failures, where they complete tasks confidently but produce incorrect results or waste resources through inefficient looping. Unlike traditional services that trigger loud exceptions, these quiet failures are difficult to detect and alert on without specific recording categories.