Evaluation Reproducibility Through Configuration Versioning

Automatic LLM evaluation — instruction-following, LLM-as-judge, length-controlled, cost-effective.

Unique: Captures all evaluation parameters in version-controlled YAML configurations with metadata tracking, enabling reproducible evaluations and transparent methodology auditing. Configuration-based approach allows sharing evaluation setup without code, improving accessibility for non-engineers.

vs others: More reproducible than ad-hoc evaluation scripts; more transparent than implicit parameter defaults