Google Open-Sources AQuA to Diagnose Failures in Production AI Agents

Google has open-sourced AQuA, a reference implementation that analyzes production AI agent sessions, verifies recurring failure patterns, and investigates root causes against deployed source snapshots. In a 32-session replay, developers cut seat selection bypasses from 15 sessions to two and dietary preference omissions from seven to zero by changing prompts. The tool targets the operational problem of diagnosing agent failures after deployment.

Why it matters: Teams running AI agents in production now have an open-source method for finding recurring failure patterns and tracing them to root causes instead of patching them one at a time.