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Webhook-Backed Submission

A 2-step recipe with fal. We can help you get access.

Recipe · 2 steps

Webhook-Backed Submission

with fal · Artificial Intelligence Management
Works with AI assistants

Queue a job with a completion webhook and confirm acceptance.

  1. Submit the inference request with the fal_webhook query parameter so fal delivers a completion callback, and confirm the IN_QUEUE acceptance.
  2. Read the request status once to confirm the queue is tracking the job while the caller awaits the webhook callback.
What you'll need to have ready
  • modelOwner: Owning organization of the model (e.g. "fal-ai").
  • modelName: Model identifier (e.g. "veo-3").
  • input: Model-specific JSON input (prompt, image_url, seed, etc.).
  • webhookUrl: URL that fal will POST to when the job finishes.
For your developer

Arazzo workflow fal-ai:webhook-submission, 2 operations: submitRequest → getRequestStatus. Specs on APIs.io.