The vLLM Semantic Router project outlines its evolution from routing requests between fast and reasoning model paths toward coordinating full Mixture-of-Models (MoM) systems across multiple specialized models. The post describes a target architecture of a versioned, composite model whose engine resolves each request through a preference-conditioned, resource-bounded path across independent models. The roadmap includes portable MoM specifications, closing the training-evaluation-inference loop, and building heterogeneous runtimes while keeping a simple interface for end users.
