How to Build a Cost-Aware LLM Routing System with NadirClaw Using Local Prompt Classification and Gemini Model Switching
if proxy_alive(): print(“\n[10] Mixed 10-prompt workload…”) workload = [ “Capital of France?”, “Read foo.py”, “Type hint for a list of dicts”, “Lowercase: HELLO”, “One-sentence summary of REST”, “Refactor a callback chain into async/await with proper error handling”, “Design a sharded multi-region key-value store with linearizable reads”, “Analyze the asymptotic complexity of this code and prove…