Does Kling/Seedance API Support Batch Requests?
WaveSpeedAI does not support native batch requests today; jobs run one at a time. How to handle bulk work with queues, webhooks, polling, and safe concurrency.
Overview
WaveSpeedAI does not currently support native batch requests; its FAQ says requests are handled one at a time. Teams using Kling, Seedance, or similar video routes should design bulk work with queues, async jobs, webhooks, polling, and controlled concurrency instead of assuming one batch endpoint exists.
- Treat each generation as an individual job unless the current model docs say otherwise.
- Use webhooks or polling to track long-running video tasks and failures.
- Add queue controls, retry limits, rate-limit handling, and budget checks before scaling.
Video generation is not like a simple text API call. Jobs can take longer, fail, queue, or produce outputs that need review. Even if a platform lacks native batch mode, a team can often build a batch-like workflow by managing many async jobs carefully.
For WaveSpeedAI users, the practical production pattern is to queue tasks, submit jobs at safe concurrency, monitor completion, handle failures, and estimate cost before launching large workloads. This is more useful than pretending batch support exists everywhere. It helps developers design around real platform limits instead of discovering them after launch. It also keeps architecture planning tied to current platform behavior, not a generic assumption about API capabilities. Recheck this before any high-volume release.
