Computer Aided Design (CAD) plays a pivotal role in industrial manufacturing but typically requires a high level of expertise from designers. To lower the entry barrier and improve design efficiency, we present an agent for CAD conceptual design powered by large language models (LLMs). The agent accepts both textual descriptions and sketches as input, engaging in interactive dialogue with users to refine and clarify design requirements through comprehensive requirement analysis. Built upon a novel Explicit Context Imperative Paradigm (ECIP), the agent generates high-quality CAD modeling code. During the generation process, the agent incorporates iterative visual feedback to improve model quality. Generated design cases are stored in a structured knowledge base, enabling continuous improvement of the agent's code generation capabilities. Experimental results demonstrate that our method achieves state-of-the-art performance in CAD code generation.
翻译：计算机辅助设计（CAD）在工业制造中发挥着关键作用，但通常需要设计人员具备较高的专业水平。为降低使用门槛并提升设计效率，我们提出了一种基于大语言模型（LLMs）驱动的CAD概念设计智能体。该智能体可接受文本描述和草图作为输入，通过交互式对话与用户沟通，借助全面的需求分析来细化和明确设计要求。基于新颖的显式上下文指令范式（ECIP），智能体能够生成高质量的CAD建模代码。在生成过程中，智能体融合迭代式视觉反馈以优化模型质量。生成的设计案例将存储于结构化知识库中，从而持续提升智能体的代码生成能力。实验结果表明，我们的方法在CAD代码生成任务中达到了最先进的性能水平。
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