How I Built an LLM Router That Cut My API Costs in Half
A developer built an LLM router to optimize API costs by classifying prompt complexity and directing requests to the most cost-effective model. This system uses Pydantic AI and Claude 3.5 Haiku for classification, LiteLLM for routing, and tracks costs in real-time. The solution achieved a 62% cost reduction, saving $2,602 per month, while maintaining 99.2% quality, though it introduces a slight latency overhead. AI
IMPACT Enables cost savings for developers and businesses using multiple LLM APIs by intelligently routing requests.