This article proposes a method for managing LLM regressions by treating test cases as versioned schema migrations. It suggests using a catalog of "golden cases" that include specific inputs, expected tool calls, and assertions. These cases should be stored in JSON format to ensure stable hashing and allow for clear diffs in version control. The proposed approach emphasizes deterministic checks before subjective scoring to catch most production errors, ensuring that model outputs remain consistent even as prompts, tools, or serving models change. AI
IMPACT Improves LLM development workflows by providing a robust method for regression testing and maintaining model consistency.
RANK_REASON The article describes a method for improving LLM testing and regression management, which is a tooling improvement.
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