SSE token streaming is easy, they said (zknill.io)

A recent blog post explores the challenges of using Server-Sent Events (SSE) for token streaming in AI applications, challenging the notion that it's a simple solution for creating durable sessions. While SSE allows for streaming responses from AI agents, issues arise during connection drops, multi-device handling, and the management of numerous database writes due to the extensive metadata included with each token. The author highlights the significant overhead involved in maintaining a resilient token stream and managing client requests, ultimately arguing that the current methods are neither efficient nor straightforward. The post ultimately advocates for a better alternative to SSE, proposing a dedicated pub/sub transport designed for AI applications, which offers seamless token streaming regardless of client connectivity. This approach allows multiple devices to receive the same token stream in real time and simplifies handling cancellations and data management. By addressing the inherent limitations of HTTP-based SSE for AI-driven applications, the proposed system presents a more robust and efficient framework for building async agentic applications, leaving industry professionals to reconsider the viability of traditional token streaming methods.