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…evaluation - Add new CLI command `benchmark_stability` to evaluate LLM consistency - Implement `EvaluationBenchmarks` class with statistical analysis - Add test suite for benchmark functionality - Enable variance-based stability assessment with configurable thresholds
…tructure - Introduce TypedDict classes for better type safety in benchmarking - Update stability test to return structured TypedDict results - Improve score variance calculation to handle empty inputs - Enhance display of stability results with clearer dimension names
…ts structure - Introduce TypedDict classes for better type safety in benchmarking - Update stability test to return structured TypedDict results - Improve score variance calculation to handle empty inputs - Enhance display of stability results with clearer dimension names
…ffmage into feat/benchmarks
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This PR introduces stability benchmarking capabilities to validate LLM evaluation consistency and reliability for commit message assessment.
Key Features
Core Functionality
EvaluationBenchmarksclass for stability testing with statistical analysisbenchmark-stabilityCLI command for consistency validationCapabilities
Usage
Technical Details
Files
src/diffmage/evaluation/benchmarks.py(new)tests/evaluation/test_benchmarks.py(new)src/diffmage/cli/reports.py(enhanced)Provides essential tooling for LLM evaluation validation, research, and quality assurance in production environments.