Model Upgrade Regression Eval

Name: OpenModels
Creator: OpenModels
License: https://github.com/openmodelsrun/openmodels

FortgeschrittentestingMindestens 64K Kontext

Builds an evaluation plan for swapping one LLM for another in production. Assembles a representative test set from real traffic, defines graded criteria and automated checks, compares the two models on quality, latency, cost, refusals, and tool-call correctness, and sets pass thresholds that gate the rollout.

evals regression model-upgrade quality release-gate

Anwendungsfälle

Deciding whether a newly released model can replace the current one
Catching behavior regressions before a model version switch
Comparing tool-call accuracy and structured-output validity across models
Setting release gates for a staged model rollout

Beispiel-Prompt

Design a regression eval for this model upgrade.

Context: [current model, candidate model, product tasks, available logs, risk tolerance]

Return:
1. Test set sources and sampling plan.
2. Metrics and grading method per task.
3. Side-by-side comparison protocol.
4. Pass thresholds and blocking failures.
5. Shadow or canary rollout plan with monitoring.

Empfohlene Modelle

claude-opus-5-5 gpt-6-astra gpt-6-1-sol

Kompatible Werkzeuge

claude-codecursorkiroany

Modalitäten

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