Most AI apps waste money by sending every request to the same large model regardless of complexity. This article shows how to build a lightweight LLM router in Python that classifies queries and routes simple tasks to cheaper, faster models while reserving expensive frontier models for harder reasoning tasks. The result is lower API spend, faster responses, and a more scalable AI system architecture.Read All
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You Are Probably Calling the Wrong Model for Most of Your Requests
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