The outcome

Turn a long-running model call into a reliable application job with predictable lifecycle handling.

Step by step

A workflow you can repeat.

  1. 01

    Choose a model from its current API page and record its input schema, output schema, pricing, limits, and content constraints.

  2. 02

    Submit from a trusted server with the API key in a secret store, validate inputs, and persist the returned request ID.

  3. 03

    Show queued and in-progress states using bounded polling, status streaming, or a webhook rather than holding an HTTP request open.

  4. 04

    Validate the completed response and safety fields, then copy required public media URLs into controlled storage before expiry.

  5. 05

    Test cancellation, automatic retry, duplicate callback, model error, timeout, quota, and cleanup paths with safe sample inputs.

Working standard

What good use looks like.

  • Use asynchronous inference for long jobs.
  • Keep keys out of browser code.
  • Treat returned media URLs as temporary public assets.

Official references

Check the current product documentation.