aiqbench analysis

This article is primarily about LiteLLM adding support for self-hosted classifier models (Laya and Bespoke Nimble) to route AI requests to completion models. The subject is an AI routing feature, so it passes the topic gate. It best fits AI Products, since it is a product feature for developers deploying LLM gateways. aiqbench take: LiteLLM's Auto Router now lets teams run their own complexity classifier on private infrastructure, so the choice of completion model per request stays under their control rather than a hosted vendor's. The practical value lies in latency, data-handling, and cost tradeoffs, which the article leaves for teams to measure with their own traffic. Readers should treat it as a deployment option for LLM gateways, not a claim about routing quality.