CADSmith: Multi-Agent CAD Generation with Programmatic Geometric Validation
Existing methods for text-to-CAD generation either operate in a single pass with no geometric verification or rely on lossy visual feedback that cannot resolve dimensional errors. We present CADSmith, a multi-agent pipeline that generates CadQuery code from natural language. It then undergoes an iterative refinement process through two nested correction loops: an inner loop that resolves execution errors and an outer loop grounded in programmatic geometric validation. The outer loop combines exact measurements from the OpenCASCADE kernel (bounding box dimensions, volume, solid validity) with holistic visual assessment from an independent vision-language model Judge. This provides both the...
| Authors | Jesse Barkley, Rumi Loghmani, Amir Barati Farimani |
|---|---|
| Primary category | cs.AI |
| Published | 27 March 2026 |
| Last updated at source | 27 March 2026 |
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