Prompting
Prompt Regression Testing
Running a fixed suite of test inputs and assertions against every prompt or model change so that a tweak that fixes one case does not silently break others.
In depth
Running a fixed suite of test inputs and assertions against every prompt or model change so that a tweak that fixes one case does not silently break others. Tools like promptfoo run these suites in CI and fail the build when tests error or the pass rate drops below a threshold, such as 95%. Assertions range from cheap string and schema checks to model-graded rubrics.
Primary source: promptfoo.dev
Example
Tools like promptfoo run these suites in CI and fail the build when tests error or the pass rate drops below a threshold, such as 95%.
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Hands-on guides, comparisons, and tutorials that cover Prompting.
FAQ
Common questions
What is Prompt Regression Testing?
Running a fixed suite of test inputs and assertions against every prompt or model change so that a tweak that fixes one case does not silently break others.
Why does Prompt Regression Testing matter for AI developers?
Prompt Regression Testing sits in the Prompting part of the AI stack. Understanding it helps you make better decisions when building, debugging, and shipping AI features.
Where can I learn more about Prompt Regression Testing?
Developers Digest publishes tutorials and videos that cover Prompting topics including Prompt Regression Testing. Check the blog and YouTube channel for hands-on walkthroughs.
Related
Related terms
Prompting
Prompt Chaining
A workflow that splits a task into a fixed sequence of LLM calls, where each call works on the output of the one before it.
Prompting
Golden Dataset
A fixed, curated set of realistic inputs paired with expert-approved reference answers, used as the ground truth for evaluating an LLM application.
Prompting
Prompt Injection
An attack where malicious input tricks an AI model into ignoring its instructions and following attacker-supplied commands instead.
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