CADSmith introduces a multi-agent system that generates CAD designs from text with automatic geometric validation through nested correction loops.

Generates CadQuery code from natural language descriptions using a multi-agent pipeline approach

Implements dual correction loops: an inner loop fixing execution errors and an outer loop validating geometry programmatically

Uses OpenCASCADE kernel for precise measurements (bounding boxes, volume, solid validity) combined with vision-language model judgment for shape assessment

Employs retrieval-augmented generation over API documentation instead of fine-tuning, ensuring compatibility with current CAD libraries

Solves key limitations of existing text-to-CAD methods by combining exact numerical precision with holistic visual understanding for accurate geometry convergence