AI Agent Failure Detection and Root Cause Analysis with Strands Evals

2026-06-15 09:07 GMT · 2 months ago aimagpro.com

In this post, we walk you through calling the detector functions to diagnose real agent failures. You learn how to interpret their structured output: categorized failures with confidence scores, causal chains linking root causes to downstream symptoms, and fix recommendations specifying whether a change belongs in your system prompt or tool definitions. You also learn how to integrate detection into your evaluation pipeline for automated diagnosis on every test run.