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How the callback-first pattern works
- Create an application job record. Store your own job ID, user or tenant ownership, requested model and inputs, state, timestamps, and the eventual AI Gateway or provider job ID. Make both job creation and the generation-start request idempotent at your application boundary so a retried client request does not accidentally launch duplicate renders.
- Start generation asynchronously. Vercel’s August 25, 2026 changelog describes several modes:
startVideowith the Workflow SDK for durable runs;generateVideowithwebhookwhen a call should wait for callback completion;generateVideowithpollwhen the process can stay alive but cannot receive webhooks; andstartVideoplusgetVideoStatuswhen the initiating request or worker must return before rendering ends. See Vercel’s asynchronous video generation announcement. - Return a client-facing handle promptly. Respond with your application job ID and a status URL or equivalent. The Vercel announcement says
startVideoreturns a job ID immediately, before rendering begins. Keep that gateway ID distinct from your application ID so authorization and callback matching remain explicit. - Verify and correlate the callback. Treat incoming callback data as untrusted until verified. Vercel’s example uses a shared token and store between the calling process and webhook handler to associate a delivery with its generation, and points to webhook verification guidance. Follow the current signing and retry contract for the provider you use; the announcement does not define one universal scheme for all providers.
- Apply repeat-safe state transitions. Persist states such as queued, running, succeeded, failed, or expired. Make duplicate completion events harmless, and allow an update only when the matching token or provider job ID belongs to the application job being changed. These are implementation safeguards for correlated asynchronous events, not a promise of exactly-once delivery.
- Serve status and results from your own application. Persist the status and result reference, then let the client retrieve them later. This supports navigation, network loss, and deployment boundaries without depending on the original request remaining alive.
Choose an execution mode for the caller’s lifecycle
| Mode | Best fit | Constraint to account for |
|---|---|---|
startVideo + Workflow SDK |
A run needs durable execution and the application does not want a callback receiver in its flow. | Confirm current Workflow SDK setup, persistence, and retry behavior in its documentation; the changelog identifies this use case but does not specify those guarantees. |
generateVideo with webhook |
One logical SDK call should wait for a completion callback and the caller can remain active. | The example needs shared correlation state, and the waiting caller remains subject to its own process lifecycle. |
generateVideo with polling |
The process can remain active but cannot accept webhooks. | Polling occupies the caller’s lifecycle and needs an appropriate timeout. The changelog example uses a five-second polling interval and a ten-minute timeout default for that API option. |
startVideo + getVideoStatus |
A serverless request, queue, or parallel job must return before the render finishes. | Persist the returned ID and application state, and provide a later status-check path. |
Synchronous generateVideo without async options |
A script or process can keep its request open until generation completes. | A render may take seconds to minutes, so the request can exceed its configured function duration. |
The option names and example defaults above come from Vercel’s August 25, 2026 announcement and may change; check the current API documentation before implementation. The announcement also states: “The calling process must remain running until generateVideo resolves, but no individual request to AI Gateway stays open for the full generation.”
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Why request duration matters on Vercel
Vercel terminates a function that exceeds its configured maximum duration. Its maximum-duration documentation, last updated December 1, 2025, lists a 300-second Fluid Compute default, a 300-second Hobby maximum, and an 800-second Pro and Enterprise maximum on that page; defaults and maxima differ without Fluid Compute. A later Vercel Functions limits page, last updated December 18, 2025, indicates support for up to 30 minutes for Node.js and Python on Pro and Enterprise. These figures reflect different documentation and release points: check the current plan, runtime, and compute-mode limits before configuring a production function.
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Where waitUntil() fits
waitUntil() lets bounded post-response work, such as logging or a cache update, continue after the response. Its promise shares the function’s timeout and is cancelled if the function times out; it is not durable job execution or a substitute for a persisted job record. For Next.js 15.1 and later, Vercel’s Node.js functions API reference, last updated January 23, 2026, recommends the built-in after() function for the corresponding post-response use case.
What the callback contract must cover
The asynchronous-video announcement establishes a correlation example, not a universal webhook contract. Vercel’s general webhook documentation, last updated January 8, 2026, describes event-triggered HTTP POST delivery for Vercel-configured platform webhooks; it should not be treated as the contract for every AI Gateway model provider.
Quick Recap
- Confirm how the chosen provider signs callbacks and how your endpoint must verify them.
- Confirm its delivery, retry, and failure behavior instead of assuming exactly-once delivery or a particular retry schedule.
- Check how long generated video results remain available and whether you must copy them to storage you control.
- Authorize status and result retrieval against the user or tenant on the application job record; possession of a provider job ID alone should not grant access.
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