EvaluationResultContent
The comprehensive result of an evaluation containing the score, explanation, evaluator metadata, and execution details. Provides both quantitative ratings and qualitative insights about agent performance.
Types
Properties
The error message describing what went wrong if the evaluation failed. Provides detailed information about evaluation failures to help diagnose and resolve issues with evaluator configuration or input data.
The Amazon Resource Name (ARN) of the evaluator used to generate this result. For custom evaluators, this is the full ARN; for built-in evaluators, this follows the pattern Builtin.{EvaluatorName}.
The unique identifier of the evaluator that produced this result. This matches the evaluatorId provided in the evaluation request and can be used to identify which evaluator generated specific results.
The human-readable name of the evaluator used for this evaluation. For built-in evaluators, this is the descriptive name (e.g., "Helpfulness", "Correctness"); for custom evaluators, this is the user-defined name.
The detailed explanation provided by the evaluator describing the reasoning behind the assigned score. This qualitative feedback helps understand why specific ratings were given and provides actionable insights for improvement.
The categorical label assigned by the evaluator when using a categorical rating scale. This provides a human-readable description of the evaluation result (e.g., "Excellent", "Good", "Poor") corresponding to the numerical value. For numerical scales, this field is optional and provides a natural language explanation of what the value means (e.g., value 0.5 = "Somewhat Helpful").
The token consumption statistics for this evaluation, including input tokens, output tokens, and total tokens used by the underlying language model during the evaluation process.