Model Upgrade Regression Eval

ПродвинутыйtestingМинимальный контекст: 64K

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.

evalsregressionmodel-upgradequalityrelease-gate

Варианты использования

  • 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

Пример промпта

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.

Рекомендуемые модели

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

Совместимые инструменты

claude-codecursorkiroany

Модальности

Вход: text, code
→
Выход: text, code

Похожие Skills

agent-evalsllm-output-evaluationprompt-regression-testing

Автор

OpenModels Community

@openmodelsrun