Google's AQuA agent diagnoses production failures in a multi-agent travel concierge
AIGoogle Developers Blog introduces AQuA, an ambient quality agent that runs in a customer's Google Cloud project and samples production sessions to find recurring agent failures. In a 32-session travel-concierge sweep, it verified six issues and traced two of them to specific prompt lines, and a replay after the fixes raised full-session passes from 5/32 to 13/32. The post notes that verification and diagnosis are model-based, and that the tool proposes edits without applying them.
Why it matters: The post walks through a concrete production workflow, from sweep and verification to a code-anchored fix and replay, that shows how to diagnose silent agent failures.








