veo-video-runtime

Veo video generation on Vertex AI requires submitting an explicit text prompt to start the request, then polling the long-running operation until completion and normalizing the output metadata for downstream pipelines.

A long-running operation in text-to-video generation is an asynchronous workflow where the system continuously polls the Vertex AI endpoint until the requested video asset is fully processed and ready for retrieval.

Error handling for Veo video generation applies bounded, section-level repairs for authentication, model endpoints, and polling configurations without altering validated artifacts, allowing up to three repair attempts before failing.

Yes, you need explicit text prompts to generate videos with Veo. The workflow requires them to initiate the text-to-video request against Vertex AI and cannot process implicit instructions.

Output normalization in Veo video generation is the process of emitting a consistent metadata structure, including artifacts, timestamps, and provider details, for downstream pipelines to consume.