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]>
delucs21
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Dec 19, 2025
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Reviewed with some necessary changes before merging
docs/ROBUSTNESS_TESTING.md
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| ### Step 1: Install BenchDrift | ||
| Install BenchDrift from source (required for robustness testing pipeline): | ||
| ```bash | ||
| git clone https://github.com/ritterinvest/BenchDrift.git |
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This repo returns 404. I proceeded with testing using the internal repo, but BenchDrift needs to be in a publicly accessible repo.
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Updated to IBM internal repo (https://github.ibm.com/Granite-debug/BenchDrift) with access note. BenchDrift is in approval process for public release - will update URL once available.
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Converting this PR to draft. Please go ahead and mark it was ready for review whenever BenchDrift's OSS process is approved.
We should also remove references to other IBM infrastructure (e.g., RITS) before merging this PR.
- Rename test file: 1_test_robustness_testing.py → test_mprogram_robustness.py - Rename adapter: mellea_model_client_adapter.py → benchdrift_model_client_adapter.py - Add import os to benchdrift_runner.py - Remove hardcoded max_workers parameter - Refactor config: users load from YAML in test script - Add config/ directory with benchdrift_config.yaml - Update BenchDrift repo URLs to IBM internal - Add ROBUSTNESS_INSTALLATION_GUIDE.md - Update all documentation references
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Configuration changes:
Config files:
Documentation:
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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