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Large Language Models (LLMs) are increasingly integrated into softwareapplications. Downstream application developers often access LLMs through APIsprovided as a service. However, LLM APIs are often updated silently andscheduled to be deprecated, forcing users to continuously adapt to evolvingmodels. This can cause performance regression and affect prompt design choices,as evidenced by our case study on toxicity detection. Based on our case study,we emphasize the need for and re-examine the concept of regression testing forevolving LLM APIs. We argue that regression testing LLMs requires fundamentalchanges to traditional testing approaches, due to different correctnessnotions, prompting brittleness, and non-determinism in LLM APIs.

(Why) Is My Prompt Getting Worse? Rethinking Regression Testing for Evolving LLM APIs