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This paper proposes a method for simulating large LLM-agent societies on a laptop by fitting low-parameter surrogate models from a few hundred queries, using a statistical-physics-based taxonomy to predict when this approximation holds. The approach is validated on EconAgent and several other simulations using DeepSeek-elicited agent behaviors.