Optimizing LLM Inference Costs in Multi-Agent Systems with Adaptive Model Routing
This article introduces an Adaptive Model Router architecture for multi-agent systems that dynamically assigns LLMs to tasks based on complexity, reasoning requirements, and context size, achieving significant inference cost reductions without sacrificing output quality.