whydunit is an open-source Python library that helps developers diagnose failures in LLM and RAG pipelines. It uses counterfactual replay techniques to systematically test variations of the pipeline and pinpoint the exact cause of errors, replacing manual guesswork with reproducible analysis. It is aimed at AI engineers and data scientists building reliable LLM applications.
whydunit sits in PulseGate's Developer Tools category. It focuses on debugging and understanding why an LLM or RAG pipeline failed without relying on guesswork. whydunit is an open-source project aimed at developers. whydunit is open source under the MIT license. It runs on the command line, and it can be self-hosted.
alex-hahn builds and maintains whydunit, and it first shipped in 2026. The project is developed in the open on GitHub with 38 commits in the last 90 days. Among its 4 catalogued features are counterfactual replay, root cause analysis, and LLM debugging.
Summary written by a language model from the project’s public pages.
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