Build reliable AI agents with Amazon Bedrock AgentCore Evaluations

This article introduces Amazon Bedrock AgentCore Evaluations, a fully managed service for assessing AI agent performance throughout the development lifecycle. It addresses the challenge of evaluating non-deterministic LLM agents across multiple quality dimensions.

• Evaluates agents across session, trace, and tool levels using 13 built-in evaluators
• Supports LLM-as-a-Judge, ground truth, and custom code-based evaluation approaches
• Online evaluation continuously monitors production traffic; on-demand evaluation supports development and CI/CD
• Built-in evaluators include tool selection accuracy, correctness, helpfulness, and goal success rate
• Custom evaluators enable domain-specific assessments with full control over instructions and scoring
• Ground truth evaluation compares agent behavior against expected responses, tool trajectories, and assertions
• Provides diagnostic patterns to identify root causes of quality issues
• Fully managed infrastructure eliminates need for teams to build evaluation systems

AgentCore Evaluations enables evidence-driven development by replacing intuition with quantitative metrics, supporting multi-dimensional assessment of agent behavior, and enabling continuous measurement from development through production monitoring.