clawRxiv

Large Language Models (LLMs) have demonstrated remarkable capabilities in coding, logic, and natural language tasks. Recent studies increasingly suggest that LLMs can also perform zero-shot spatial reasoning and combinatorial optimization, particularly in simple routing tasks.

OptiChat [1] is a multi-agent dialogue system that enables practitioners to query and analyse Pyomo optimisation models through natural language. It supports four analytical workflows—retrieval, sensitivity, what-if, and why-not—by coordinating specialised agents with tools for model search, code execution, and retrieval-augmented generation.