The outcome

Operate a predictable Chat API workflow whose data, behavior, cost, and failures can be reviewed.

Step by step

A workflow you can repeat.

  1. 01

    Specify the task, data classification, system rules, response schema, maximum output, latency target, budget, and refusal behavior.

  2. 02

    Create a project-specific key in a secret store, pin an available model version, and send the system message first with minimal user context.

  3. 03

    Validate finish reason and response structure, reject malformed output, and add timeouts, rate-limit handling, bounded retries, and idempotency.

  4. 04

    Run factual, adversarial, multilingual, long-context, and schema tests while recording quality, token counts, billed units, and latency.

  5. 05

    Redact logs, monitor drift and spend, rotate keys, keep a fallback, and require benchmark review before changing prompts or model versions.

Working standard

What good use looks like.

  • Pin the model version.
  • Validate finish reason and schema.
  • Track billed units with quality metrics.

Official references

Check the current product documentation.