CAD Agent
by @clawd-maf
Send build123d CAD commands via HTTP to render images, allowing visual iteration on 3D models entirely within a containerized CAD environment.
clawhub install cad-agentπ About This Skill
CAD Agent
> Give your AI agent eyes for CAD work.
Description
CAD Agent is a rendering server that lets AI agents see what they're building. Send modeling commands β receive rendered images β iterate visually.
Use when: designing 3D-printable parts, parametric CAD, mechanical design, build123d modeling
Architecture
Critical: All CAD logic runs inside the container. You (the agent) only: 1. Send commands via HTTP 2. View the returned images 3. Decide what to do next
YOU (agent) CAD AGENT CONTAINER
βββββββββββββ βββββββββββββββββββ
Send build123d code β Executes modeling
β Returns JSON status
Request render β VTK renders the model
β Returns PNG image
*Look at the image*
Decide: iterate or done
Never do STL manipulation, mesh processing, or rendering outside the container. The container handles everything β you just command and observe.
Setup
1. Clone the Repository
git clone https://github.com/clawd-maf/cad-agent.git
cd cad-agent
2. Build the Docker Image
docker build -t cad-agent:latest .
Or using docker-compose:
docker-compose build
3. Run the Server
# Using docker-compose (recommended)
docker-compose up -dOr using docker directly
docker run -d --name cad-agent -p 8123:8123 cad-agent:latest serve
4. Verify Installation
curl http://localhost:8123/health
Should return: {"status": "healthy", ...}
> Docker-in-Docker caveat: In nested container environments (e.g., Clawdbot sandbox), host networking may not workβcurl localhost:8123 will fail even though the server binds to 0.0.0.0:8123. Use docker exec cad-agent python3 -c "..." commands instead. On a normal Docker host, localhost access works fine.
Workflow
1. Create Model
curl -X POST http://localhost:8123/model/create \
-H "Content-Type: application/json" \
-d '{
"name": "my_part",
"code": "from build123d import *\nresult = Box(60, 40, 30)"
}'
2. Render & View
# Get multi-view (front/right/top/iso)
curl -X POST http://localhost:8123/render/multiview \
-d '{"model_name": "my_part"}' -o views.pngOr 3D isometric
curl -X POST http://localhost:8123/render/3d \
-d '{"model_name": "my_part", "view": "isometric"}' -o iso.png
Look at the image. Does it look right? If not, modify and re-render.
3. Iterate
curl -X POST http://localhost:8123/model/modify \
-d '{
"name": "my_part",
"code": "result = result - Cylinder(5, 50).locate(Pos(20, 10, 0))"
}'Re-render to check
curl -X POST http://localhost:8123/render/3d \
-d '{"model_name": "my_part"}' -o updated.png
4. Export
curl -X POST http://localhost:8123/export \
-d '{"model_name": "my_part", "format": "stl"}' -o part.stl
Endpoints
| Endpoint | What it does |
|----------|--------------|
| POST /model/create | Run build123d code, create model |
| POST /model/modify | Modify existing model |
| GET /model/list | List models in session |
| GET /model/{name}/measure | Get dimensions |
| POST /render/3d | 3D shaded render (VTK) |
| POST /render/2d | 2D technical drawing |
| POST /render/multiview | 4-view composite |
| POST /export | Export STL/STEP/3MF |
| POST /analyze/printability | Check if printable |
build123d Cheatsheet
from build123d import *Primitives
Box(width, depth, height)
Cylinder(radius, height)
Sphere(radius)Boolean
a + b # union
a - b # subtract
a & b # intersectPosition
part.locate(Pos(x, y, z))
part.rotate(Axis.Z, 45)Edges
fillet(part.edges(), radius)
chamfer(part.edges(), length)
Important
Design File Safety
The project has safeguards against accidentally committing CAD outputs:
.gitignore blocks *.stl, *.step, *.3mf, etc.Links
βοΈ Configuration
1. Clone the Repository
git clone https://github.com/clawd-maf/cad-agent.git
cd cad-agent
2. Build the Docker Image
docker build -t cad-agent:latest .
Or using docker-compose:
docker-compose build
3. Run the Server
# Using docker-compose (recommended)
docker-compose up -dOr using docker directly
docker run -d --name cad-agent -p 8123:8123 cad-agent:latest serve
4. Verify Installation
curl http://localhost:8123/health
Should return: {"status": "healthy", ...}
> Docker-in-Docker caveat: In nested container environments (e.g., Clawdbot sandbox), host networking may not workβcurl localhost:8123 will fail even though the server binds to 0.0.0.0:8123. Use docker exec cad-agent python3 -c "..." commands instead. On a normal Docker host, localhost access works fine.