Grok 4.5 Eval Harness & CI Regression Gates
By Dillip Chowdary • July 21, 2026 • Grok 4.5 engineering series
Evals before prompt vibes
A prompt change without an eval set is a production experiment on users. Write 30–100 labeled tasks before tuning prose.
Mix unit-like cases (format, schema) with scenario cases (multi-step tools). Both fail in different ways.
Version eval datasets like code. Tag which model/prompt combo produced each baseline.
Scoring that matches product risk
Binary pass/fail for safety and schema. Graded rubrics for writing quality. Do not average them into one meaningless score.
For coding assistants, use unit tests on generated code in a sandbox. For support bots, use retrieval faithfulness + resolution rate.
Human review samples weekly; pure auto-judges drift and collude with the model family under test.
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CI wiring
Run a cheap smoke eval on every PR (~5–10 min). Run full suites nightly or pre-release.
Block merge when critical suites drop more than X% vs main, or when new safety failures appear.
Store artifacts: prompts, model IDs, scores, and failing examples as downloadable CI outputs.
Online monitoring after ship
Track user thumbs-down, tool error rates, and escalation-to-human as live quality signals.
Canary new prompts to 5–10% of traffic with automatic rollback on metric regression.
Document known weak spots so support and sales do not over-promise.
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