Detecting silent agent failures with Amazon Bedrock AgentCore optimization
AWS 2 months ago 18
Amazon Bedrock AgentCore optimization provides observability tools to detect behavioral failures in deployed AI agents, including silent failures that don't generate error signals—such as skipped steps or incorrect outputs that pass system health checks. The system analyzes session traces against 11 behavioral failure categories, clusters failures by root cause, and ranks them by proportion of affected traffic, helping developers distinguish systematic issues from edge cases. This shifts agent monitoring from reactive trace inspection to proactive pattern detection, enabling teams to prioritize and fix the failures that affect the most users.