vLLM Semantic Router
What it is
A programmable routing layer for building Mixture-of-Models systems across heterogeneous LLM infrastructure. It evaluates request signals, user preferences, and application policies to select or compose the optimal model path for each inference request.
The problem it solves
Heterogeneous LLM infrastructure requires complex, hard-coded routing logic to balance cost, quality, latency, and privacy constraints across different models and compute locations.
What you could use it for
- Routing LLM requests to the most cost-effective model based on complexity
- Directing sensitive data to private or edge models for privacy compliance
- Composing multiple models to balance quality and latency for specific workloads
- Managing inference across mixed GPU, cloud, and edge compute resources
Read the source ↗Back to the library →
Summary written by an AI model from the source; check the source before you rely on it.