Can I call AI video generation from an API?
Yes, though what you get differs sharply. Model vendors expose a single-model API and leave orchestration to you — retries, chaining, state, cost tracking. Inference platforms give a uniform interface across many models but still no orchestration. Workflow platforms expose an entire multi-step pipeline as one call, so the chaining logic lives in the platform rather than in your codebase.
Three levels of API
A first-party model API gives you one model and the parameters it exposes. An inference platform gives you many models behind one interface, which removes per-vendor integration work but leaves the sequencing to you. A workflow API exposes a saved pipeline — several models, in order, with outputs feeding inputs — as a single endpoint. Which you want depends on whether the orchestration is a thing you want to own.
The orchestration you would otherwise write
Chaining generation steps in your own code means implementing retry logic for transient failures, state tracking across asynchronous jobs, credit or cost accounting, refunds when a step fails midway, and parallel execution where steps are independent. None of that is the product you set out to build. It is worth writing when you need control that a platform does not expose, and worth avoiding otherwise.
Asynchronous by necessity
Video generation takes tens of seconds to minutes, so any sane integration is asynchronous: submit a job, receive a callback or poll a task record. Holding an HTTP request open for the duration is unreliable on serverless and container platforms, where an instance can be reclaimed mid-wait. Design for a webhook or a task document from the start rather than retrofitting one after the first timeout.
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