Add robustness testing integration with BenchDrift for m-programs #15
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…ting - Add variation_types parameter to run_benchdrift_pipeline() to allow users to customize which semantic variation types to generate (generic, cluster_variations, persona, long_context) - Update test/1_test_robustness_testing.py to demonstrate variation_types usage - Add docs/ROBUSTNESS_TESTING.md with comprehensive documentation for robustness testing workflow - Enables fine-grained control over robustness testing configurations 🤖 Generated with Claude Code Co-Authored-By: Claude Haiku 4.5 <[email protected]>
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Summary
This PR adds the ability to test Mellea m-program robustness by integrating with BenchDrift- semantic variation generation and evaluation pipeline. Users can now systematically evaluate how consistently their m-programs answer semantically equivalent variations of a problem.
What This Enables
Key Components
run_benchdrift_pipeline(): Orchestrates BenchDrift's 3-stage pipeline (generate variations → execute m-program → evaluate)MelleaModelClientAdapter: Bridges Mellea m-programs to BenchDrift's test frameworkanalyze_robustness_from_probes(): Computes robustness metrics from test results