vLLM Semantic Router

An Mixture-of-Models (MoM) router that intelligently directs OpenAI API requests to the most suitable models from a defined pool based on Semantic Understanding of the request's intent.

This is achieved using BERT classification. Conceptually similar to Mixture-of-Experts (MoE) which lives within a model, this system selects the best entire model for the nature of the task.

🚀 Key Features

🎯 Auto-selection of Models

Intelligently routes requests to specialized models based on semantic understanding:

• Math queries → Math-specialized models
• Creative writing → Creative-specialized models
• Code generation → Code-specialized models
• General queries → Balanced general-purpose models

🛡️ Security & Privacy

• PII Detection: Automatically detects and handles personally identifiable information
• Prompt Guard: Identifies and blocks jailbreak attempts
• Safe Routing: Ensures sensitive prompts are handled appropriately

⚡ Performance Optimization

• Semantic Cache: Caches semantic representations to reduce latency
• Tool Selection: Auto-selects relevant tools to reduce token usage and improve tool selection accuracy

🏗️ Architecture

• Envoy ExtProc Integration: Seamlessly integrates with Envoy proxy
• Dual Implementation: Available in both Go (with Rust FFI) and Python
• Scalable Design: Production-ready with comprehensive monitoring

📊 Performance Benefits

Our testing shows significant improvements in model accuracy through specialized routing.

🛠️ Architecture Overview

🎯 Use Cases

• Enterprise API Gateways: Route different types of queries to cost-optimized models
• Multi-tenant Platforms: Provide specialized routing for different customer needs
• Development Environments: Balance cost and performance for different workloads
• Production Services: Ensure optimal model selection with built-in safety measures

📈 Monitoring & Observability

The router provides comprehensive monitoring through:

• Grafana Dashboard: Real-time metrics and performance tracking
• Prometheus Metrics: Detailed routing statistics and performance data
• Request Tracing: Full visibility into routing decisions and performance

📖 Documentation

For comprehensive documentation including detailed setup instructions, architecture guides, and API references, visit:

👉 Complete Documentation at Read the Docs

The documentation includes:

• Installation Guide - Complete setup instructions
• Quick Start - Get running in 5 minutes
• System Architecture - Technical deep dive
• Model Training - How classification models work
• API Reference - Complete API documentation