dspy-evaluation-suite

Evaluate DSPy programs by instantiating the Evaluate component with your development set and a scoring function, then run the evaluator on your program to obtain a numeric score and per-example results. Built-in metrics like answer_exact_match and SemanticF1 are available, or supply custom metrics for multi-factor scoring.

Use built-in metrics including answer_exact_match and SemanticF1, or define custom metrics with multi-factor scoring logic. The evaluation suite applies your chosen metric across all examples in parallel, producing comparable scores for variant comparison and production-readiness validation.

Yes. The evaluation suite supports configurable parallel execution with threaded evaluation across your development set. This enables efficient benchmarking and baseline establishment when comparing multiple program variants simultaneously.

Provide a development set and a pluggable scoring function. The suite accepts both built-in metrics and custom scoring functions, then produces structured output containing a numeric aggregate score and detailed per-example results for analysis.

Use this framework when you need reproducible, quantified performance measurement across DSPy program variants, especially for baseline establishment, production-readiness validation, and scaled evaluation where manual inspection becomes impractical.

After running evaluation, the suite returns structured results with numeric scores and per-example breakdowns that can be exported for reporting. Compare multiple program runs to track performance across iterations and document evaluation findings.