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How to Regression-Test LLM Prompts in CI Without Flaky Tests or a Surprise Bill

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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How to Regression-Test LLM Prompts in CI Without Flaky Tests or a Surprise Bill

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  1. dev.to — LLM tag TIER_1 English(EN) · Libme ·

    How to Regression-Test LLM Prompts in CI Without Flaky Tests or a Surprise Bill

    <p>You can regression-test a prompt in CI with plain pytest: keep a small golden set of inputs, assert on cheap deterministic properties (valid JSON, required fields, forbidden phrases) rather than exact strings, run each case several times, and fail the build on a pass-rate thre…