Introduction
vLLM Semantic Router is a high-performance routing framework that uses semantic understanding to dispatch requests to the best-suited model or service, improving accuracy while optimizing cost and latency.
Key features
- Semantic classification-based model selection (BERT classifier / Mixture-of-Models).
- Similarity caching to reduce redundant computation and latency.
- Enterprise-grade security: PII detection and prompt guard.
Use cases
- Request routing and model orchestration in multi-model deployments.
- Inference platforms balancing latency, cost, and accuracy.
- Integrating routing as part of an AI gateway or microservice stack.
Technical details
- Multi-language implementation (Go core with Python benchmarks and Rust bindings).
- Integrations with vLLM and Hugging Face Candle backends, with Grafana dashboards and deployment scripts.
- Comprehensive docs, examples and benchmarks (bench & examples).