How to Build a Cost-Aware LLM Routing System with NadirClaw Using Local Prompt Classification and Gemini Model Switching

Short summary

NadirClaw intelligently routes prompts to the most cost-effective model by classifying them as simple or complex, using local processing for simple requests and Gemini for complex ones. This step-by-step tutorial demonstrates installation, setup, and configuration of the routing system to significantly reduce LLM infrastructure costs. Essential for product teams, founders, and operations teams managing AI spending at scale.

• •NadirClaw classifies prompts into simple and complex tiers
• •Routes requests to local classifiers or Gemini API based on complexity
• •Tutorial covers setup, configuration, and cost optimization implementation

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