Detecting silent agent failures with Amazon Bedrock AgentCore optimization | Amazon Web Services
If you’re operating AI agents at scale, Amazon Bedrock AgentCore surfaces a category of insights you’ve probably experienced but struggle to detect: your dashboards show green across the board. 99% completion rate, healthy latency, zero error spikes. And yet customer complaints trickle in about incorrect outcomes.
An order modification that was never actually executed. A product reported as “in stock” when the inventory API timed out. An approval step that was skipped. These are behavioral failures, and they look different from infrastructure issues. They complete successfully from the system’s perspective. They pass health checks and only surface through customer escalations, often weeks after they began affecting users at scale.
Even for failures that do produce error signals, a separate challenge exists: when an agent serving thousands of daily sessions accumulates hundreds of errors, which ones deserve attention first? Reviewing individual traces reveals what happened in a single session. But it...
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