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Meet LLMRouter: An Intelligent Routing System Designed to Optimize LLM Inference by Dynamically Selecting the Most Suitable Model for Each Query

LLMRouter, an open‑source library from UIUC, sits between applications and heterogeneous LLM pools to automatically select the most appropriate model per query. It offers over 16 routing algorithms organized into single‑round, multi‑round, personalized, and agentic families, each configurable via a unified Python API and CLI. The package includes a three‑stage data‑generation pipeline covering 11 benchmarks and a Gradio‑based chat UI for interactive routing. A plugin architecture lets developers add custom routers without altering core code.