🧩 Semantic-Router: Mixture-of-Models Inference Routing

Part of the vLLM project ecosystem, Semantic-Router is a programmable Mixture-of-Models router written in Go. It is specifically designed to handle heterogeneous large language model inference by dynamically routing requests based on their semantic content. The hard part of scaling AI infrastructure is balancing cost, latency, and output quality. Instead of relying on a single massive model for every query, this tool acts as an intelligent traffic dispatcher at the infrastructure level. It routes tasks to the most appropriate model, optimizing the overall efficiency of complex AI deployments.