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Build custom code-based evaluators in Amazon Bedrock AgentCore

Machine Learning Blog



This article explains how to build custom code-based evaluators in Amazon Bedrock AgentCore for production-grade agent quality assessment.

  • Custom code-based evaluators use AWS Lambda functions for deterministic quality checks
  • Four evaluator types demonstrated: schema validation, price accuracy, workflow compliance, PII detection
  • Evaluators operate at TRACE, TOOL_CALL, or SESSION levels for different granularities
  • On-demand evaluation supports development, regression testing, and CI/CD deployment gates
  • Online evaluation continuously samples live production traffic with configurable sampling rates
  • Results emit as CloudWatch metrics for dashboards and alarms
  • Market Trends Agent example shows financial domain-specific quality requirements
  • Single evaluator registration works across development, testing, and production monitoring

Custom code-based evaluators enable deterministic quality checks for agents, complementing LLM-as-a-Judge evaluators for subjective dimensions.



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