为什么 AI 代理的 SSE 在凌晨 2 点总是出问题

Every team developing AI agent UIs creates their own SSE client and encounters the same four bugs. After shipping 36 agent tools at Praxiom, the team realized the need for a proper protocol instead of repeatedly patching the same streaming code. This article reviews the four common bugs and shares lessons learned. The chat-style UI is backed by an LLM agent that calls tools and thinks for a few seconds, requiring the frontend to stream tokens in real-time, display status like 'running web search...' during tool activity, and show a progress bar for longer operations. SSE appears to be a straightforward and effective choice.