For the complete documentation index, see llms.txt. This page is also available as Markdown.

Evals

Score agent outputs, monitor quality, and route reviews.

Judge agent output quality. Create evaluators, monitor production traffic, and review uncertain results.

An evaluator uses a judge model to score each execution against its selected method. Configure the model, evaluation method, confidence threshold, and review routing in Control Center → Evals → Evaluators.

Setting
What you configure
How it affects results

Judge model

The model that scores agent output

The model returns a rating and confidence

Evaluation method

Answer Relevancy, Faithfulness, Safety, or Task Completion

The method defines the parameters used to assess the output

Confidence threshold

A value from 0–100%. The default is 50%

Results below the threshold are flagged, regardless of rating

Human Review routing

Whether low-confidence results route to reviewers

A flagged result creates a Human Review task only when this setting is enabled

High-confidence results are accepted automatically. When routing is enabled, a reviewer records a verdict for each low-confidence result. The reviewer can pass the findings to the agent team to update regression tests, instructions, or knowledge.

Explore Evaluation

For common questions and fixes, see Evals: FAQs & Troubleshooting.

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Maintained by Abhishek Paul AI-assisted, human-approved

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