## Can an Apartment Search Agent Call the Model Fewer Times and Still Find Good Matches? I traced 2,500 listing checks with Weights & Biases Weave, removed avoidable model work one change at a time, and scored every version against the same answers. In their paper FrugalGPT: How to Use Large Language Models While Reducing Cost and Improving Performance, Lingjiao Chen, Matei Zaharia, and James Zou describe three ways to cut the cost of calling a large language model (LLM). They call these prompt adaptation, LLM approximation, and LLM cascade. The authors report that their cascade tries cheaper…