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Why AI Video Pipelines Need Webhooks and Server-Sent Events Over HTTP

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Modern generative AI workflows involving video super-resolution, diffusion models, and neural rendering can take 30 to 90 seconds or more to complete, making traditional HTTP request-response cycles impractical. Standard HTTP connections break down under such workloads due to gateway timeouts, proxy buffer limits, and TCP idle drop policies. To address this, engineers are adopting an event-driven architecture that pairs webhook ingestion on the backend with Server-Sent Events (SSE) for real-time progress streaming on the frontend. This approach allows the backend to run asynchronous directed acyclic graphs of micro-tasks and report intermediate milestones back to the client without holding an open HTTP connection. A production-ready implementation using Next.js Edge is proposed as a blueprint for building resilient, node-based AI canvas applications.

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