Your question is Scaling Agent Latency and Traffic. Take a moment with it on the right.
Talk me through your thinking if you like. When you're confident, submit your answer and I'll grade it like a real screen (7/10 or better passes).
You have tested an agentic system on 10-20 users, and now you want to scale it for millions. How would you maintain latency and handle traffic?
Explain the production architecture, model-serving strategy, traffic management, and ML-specific evaluation plan. Address request routing, asynchronous execution, caching, batching, autoscaling, rate limits, failure isolation, observability, model quality, and distribution shift. Provide an implementable Python design and define how you would validate latency, throughput, reliability, and answer quality before rollout.
