research
vLLM Semantic Router enables intelligent model selection across multimodal deployments
Researchers presented vLLM Semantic Router, a production-deployed routing system that selects optimal models for each query using composable signal orchestration. The framework extracts signals ranging from sub-millisecond heuristics (keyword patterns, language detection) to neural classifiers (domain, embedding similarity) and composes them through configurable Boolean rules, enabling cost-optimized, privacy-regulated, and latency-sensitive deployments across multiple providers including OpenAI, Anthropic, Google, and AWS.