A six-stage LLM agent chain converts natural-language descriptions of three beam types into Python code for AutoCAD drawings, with per-step success rates between 77% and 100% over 100 runs.
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Large Language Model Agent for Structural Drawing Generation Using ReAct Prompt Engineering and Retrieval Augmented Generation
A six-stage LLM agent chain converts natural-language descriptions of three beam types into Python code for AutoCAD drawings, with per-step success rates between 77% and 100% over 100 runs.