Async lifecycle
Video generation should be modeled as a job because output may take time and failures need a clear recovery path.
A Seedance 2.5 API integration should be planned as an asynchronous video job pipeline with explicit references, status tracking, output storage, and release-readiness checks.
API searchers are usually past curiosity. They want to know whether they can build the model into a product, what the request shape should look like, how job states behave, and how billing or credits map to generated output.
| Integration shape | Submit job, track status, persist output, and reconcile failures |
|---|---|
| Payload discipline | Keep prompt text, references, options, and caller ids separate |
| Production rule | Do not rely on Seedance 2.5-only fields until official API docs confirm them |
Video generation should be modeled as a job because output may take time and failures need a clear recovery path.
API requests should carry references in a structured way so image, video, and audio inputs can be audited and repeated.
Credit or usage accounting should happen before and after generation so users understand what each request consumes.
Confirm the exact model id, access tier, region, limits, and provider documentation before exposing the option in a customer-facing app.
Separate prompt, references, duration, resolution, audio options, and idempotency keys to keep requests debuggable.
Store submitted, processing, succeeded, failed, and refunded or reconciled states so billing and user UI stay aligned.
Validate the completed asset, safety state, storage URL, and user-facing metadata before allowing download or sharing.
Official provider-side baseline for Seedance API service availability and multimodal workflow context.
Official model baseline before adding any Seedance 2.5-specific API assumptions.
API availability depends on the current provider and account. Confirm the official endpoint, model id, and access rules before exposing Seedance 2.5 in production.
No. Plan around asynchronous jobs, status polling or callbacks, durable output storage, and explicit failure handling.
Reserve or estimate credits before submission, settle the final amount after completion, and record enough job metadata to support billing review.