# 谷歌开发者博客：用会话感知负载均衡扩展实时 AI 智能体

- 来源：Google Developers Blog（RSS）
- 发布时间：2026-08-04 01:43
- AIHOT 分数：41
- AIHOT 链接：https://aihot.virxact.com/items/cmsdiry4z02vxroca2njoo61h
- 原文链接：https://developers.googleblog.com/scaling-real-time-ai-agents-with-session-aware-load-balancing

## AI 摘要

实时 AI 智能体依赖长连接、有状态的双向流，打破了传统请求-响应式负载均衡范式。开发者需在运行时内实现应用级会话跟踪，以准确测量活跃对话的并发工作负载。将精确的会话计数与标准 CPU 利用率指标一同输入混合路由算法，可有效分配有状态的 AI 流量并防止单个后端瓶颈。

## 正文

Real-time AI agents break traditional request-response load balancing paradigms because they rely on long-lived, stateful bidirectional streams that obscure true server capacity. To solve this, developers must implement application-level session tracking directly within the runtime to accurately measure the committed concurrent workload of active conversations. By feeding these precise session counts alongside standard CPU utilization metrics into a hybrid routing algorithm, infrastructure can effectively distribute stateful AI traffic and prevent individual backend bottlenecks.