LLM testing tutorial uses golden files to catch regressions

This tutorial outlines how to implement golden-file testing for free Large Language Model (LLM) endpoints to catch regressions. It guides users through creating a capture script to save a sample response from an LLM, followed by a check script that compares new responses against this golden file. The checks focus on invariants like response length and the presence of key terms, rather than exact text matching, to account for the nondeterministic nature of LLM outputs. The process is designed to be completed in about 20 minutes using Node.js and curl, with MonkeyCode's free model access and server options being suggested. AI

IMPACT Provides a method for developers to ensure consistency and catch regressions in LLM outputs, improving reliability in applications.

RANK_REASON Tutorial on using a specific testing methodology for LLM endpoints.

Read on dev.to — LLM tag →

• curl
• MonkeyCode
• Node.js
• OpenAI

• product
• infra

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