Evaluations

1. Essentials

   Covers Evaluating language model responses, Designing effective evaluations, Book Tracker: Using Evaluations to evaluate an intelligent feature, Evaluating multimodal prompts.

2. Datasets

   Covers Generating synthetic datasets, Designing datasets to test your feature, ModelSample, Loader.

3. Metrics and evaluators

   Covers Designing specific, measurable criteria in an evaluation suite, Metric, Evaluator, MetricsAggregator.

4. Results

   Covers EvaluationResult, EvaluationRunErrors, ResultColumn, inputColumn.

5. Model-judge evaluations

   Covers Designing effective model-judge evaluators, Scoring with model-judge evaluators, ModelJudgeEvaluator, ModelJudgePrompt.

6. Tool-call evaluation

   Covers Evaluating tool-calling behavior, ToolCallEvaluator, TrajectoryExpectation, ArgumentMatcher.

7. Swift Testing integration

   Covers EvaluationTrait, EvaluationContext.

Each section links to the official page. Titles and summaries by Extra Credit; the docs belong to their authors.

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