How to make SSE token streams resumable, cancellable, and multi-device
Summary
This technical article analyzes streaming AI model outputs using Server-Sent Events (SSE), focusing on making token streams resumable, cancellable, and usable across multiple devices. It compares SSE with a pub/sub transport model and discusses the trade-offs of per-token storage versus real-time token delivery, concluding that HTTP-based streaming can be inefficient for long-running AI workloads. The piece provides practical architecture guidance and advocates exploring alternative transports for scalable real-time AI workloads.