Guide details AI model routing system balancing reasoning depth, latency, and cost

A design guide outlines an escalation-based system for managing AI model usage. The architecture routes requests through different model tiers based on task complexity and latency budgets. It uses a small model for easy tasks, a medium one for complex tasks within latency limits, and a large model as a final escalation step. This aims to optimize the trade-off between reasoning capability, response time, and operational expense. The system includes components for request routing, cost monitoring, and deterministic rule enforcement.