Summary & Key Takeaways ​

• Real-time AI agents pose challenges for traditional request-response load balancing.
• They rely on long-lived, stateful bidirectional streams that obscure server capacity.
• The solution involves implementing application-level session tracking within the runtime.
• This tracking accurately measures the concurrent workload of active conversations.
• Hybrid routing algorithms use session counts and CPU metrics to distribute stateful AI traffic.
• This approach helps prevent backend bottlenecks and ensures effective scaling.

Our Commentary ​

This is a fascinating problem space. The shift from stateless request-response to long-lived, stateful AI agent interactions fundamentally changes how we think about infrastructure. We've been grappling with similar issues in real-time web applications for years, but the scale and complexity with AI agents feel like a whole new beast. It's good to see Google sharing their approach.