How Do I Handle Seedance 2.5 Failed Generations?
Handle Seedance 2.5 failures with terminal-state logic, error logging, retry rules, and cost reconciliation.
Overview
Handle Seedance 2.5 failed generations as normal production states. WaveSpeedAI examples include terminal statuses such as failed, cancelled, timeout, and deleted, so your app should not treat every non-completed job as an unknown crash. It should show a clear result and preserve enough evidence to debug the request.
Save the original prompt, references, route, parameters, prediction id, status, error body, and final cost record. That evidence helps support teams answer whether the problem came from bad input, moderation, provider failure, timeout, or a retry that created duplicate work.
Retry carefully. A network timeout before you receive a prediction id is different from a model failure after a job is accepted. Use idempotency or duplicate detection where possible, limit automatic retries, and avoid resubmitting prompts that were rejected for policy reasons.
WaveSpeedAI gives you the prediction workflow; your product needs the operational wrapper. Add user-facing copy for failed jobs, refund or credit policy if relevant, and internal labels for common failure reasons. This turns failure handling from guesswork into a measurable improvement loop. Review failure categories weekly before changing prompts or defaults.
Source: ByteDance Seed official Seedance 2.5 page; WaveSpeedAI Seedance 2.5 API collection. Source check: 2026-08-29.
