Debugging production agents with Amazon Bedrock AgentCore Observability

This article explains how to debug production AI agents using Amazon Bedrock AgentCore Observability, which provides visibility into agent execution through metrics, traces, and structured logs.

• Identify three failure categories: quality failures (incorrect results), reliability issues (incomplete workflows), and efficiency problems (high latency or token usage)
• Use CloudWatch dashboards to monitor session volume, latency, token usage, and error rates in real time
• Leverage OpenTelemetry traces to inspect reasoning steps, tool invocations, and execution flow step-by-step
• Diagnose infinite loops by identifying high token usage with 0% error rates and examining repeated tool invocations
• Resolve tool invocation failures by analyzing authentication (401), authorization (403), validation (400), and execution errors (500)
• Convert diagnostic queries into persistent CloudWatch alarms and dashboards for proactive monitoring

Structured observability transforms agent debugging from hours of guesswork into minutes of targeted investigation using ready-to-use CloudWatch Logs Insights queries.