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vllm-project/semantic-router

A signal-driven intelligent router designed to optimize the efficiency, safety, and adaptability of multi-model AI systems across various environments.

Core Features

Optimizes token economics by reducing waste and increasing effective output.

Enhances LLM safety by detecting jailbreaks, sensitive leakage, and hallucinations.

Enables fullmesh intelligence to coordinate local, private, and frontier models.

Provides adaptive routing for diverse models based on capability, scale, cost, and privacy.

Quick Start

curl -fsSL https://vllm-semantic-router.com/install.sh | bash

Detailed Introduction

In the LLM era, where the number of models is rapidly expanding with varying capabilities, costs, and privacy boundaries, vLLM Semantic Router addresses the critical system problem of effectively choosing and connecting the right models. It functions as a signal-driven intelligent router, empowering teams to construct more efficient, safer, and highly adaptive AI model systems across cloud, data center, and edge environments. The project's core focus is on maximizing the value derived from every token, ensuring robust LLM safety, and fostering fullmesh intelligence through the orchestration of diverse models.