This article presents a method for regression-testing Large Language Model (LLM) prompts within a continuous integration (CI) pipeline using pytest. It advocates for testing deterministic properties of LLM outputs, such as valid JSON structure or the absence of forbidden phrases, rather than exact string matches, to mitigate test flakiness. The proposed approach involves creating a small, curated set of AI
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