How does model routing improve scalability in LLMOps?

Model routing dynamically selects the best model based on query complexity, cost, and latency constraints.

Instead of using one large model for all tasks, LLMOps systems route requests to different models. Simple tasks go to small models, complex reasoning tasks go to larger ones. Routing decisions are based on classifiers or heuristics that evaluate query difficulty and cost constraints.