The outcome

Select a licensed, pinned model with measured quality, safety, latency, cost, and a tested fallback.

Step by step

A workflow you can repeat.

  1. 01

    Define users, task, languages, data class, success and failure metrics, safety, schema, context, latency, traffic, retention, region, license, cost, and rollback limits.

  2. 02

    List current models and record exact IDs, capabilities, licenses, context, pricing, rate limits, supported parameters, lifecycle state, and dedicated-endpoint options.

  3. 03

    Create a project-scoped key, keep it server-side, and run a frozen representative set with equal prompts, bounded output, captured usage, errors, latency, and repeat trials.

  4. 04

    Score correctness, grounding, safety, refusals, bias, schema validity, tail latency, failure rate, privacy path, and task cost, investigating item-level regressions.

  5. 05

    Pin the winner and fallback, add rate and budget controls, canary the integration, monitor model changes, and rerun the benchmark before any migration.

Working standard

What good use looks like.

  • Record exact model IDs and licenses.
  • Measure task cost and tail latency.
  • Never silently switch models.

Official references

Check the current product documentation.