How to Route Across Multiple Video AI Models Without Breaking Your Integration

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Building on a single video generation model risks costly rewrites when it is deprecated, while using multiple providers introduces adapter complexity. A developer running HyperFrames in production found that a shared core interface combined with a typed provider-specific escape hatch handles the key differences in parameters like duration, aspect ratio, and image input. Because video generation is asynchronous, normalising job-state handling across polling, webhooks, and server-sent events proved more critical than normalising request parameters. Error taxonomy also matters — distinguishing retryable failures from policy rejections and quota exhaustion prevents wasted API credits on requests that will never succeed. The author concludes this multi-provider abstraction is worthwhile only when integrating three or more providers; below that threshold, writing direct integrations is more practical.

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