ClawRoute Technical Architecture: How Smart Model Routing Works

ClawRoute Technical Architecture: How Smart Model Routing Works Overview ClawRoute is a distributed AI routing system that intelligently routes requests across multiple LLM providers using a unified 0-100 scoring system, Thompson Sampling for exploration/exploitation balance, circuit breakers for fault tolerance, predictive rate limiting, and multi-provider support. The system optimizes for cost, speed, and reliability while providing zero-configuration developer APIs. Core Architecture 1. Request Router (router.py) The main entry point that receives requests and routes them based on: Unified 0-100 quality score (task-specific weights) Cost optimization Latency requirements Availability and health status Key Features: Unified Scoring System : All models rated 0-100 with weights adjusted per task type Thompson Sampling : Balances exploration and exploitation for model selection Smart Fallback : Automatic switching when primary model underperforms Global Distribution : Routes to geograph