LLM-3D-Print-Large-Language-Models-To-Monitor-and-Control-3D-Printing

TO DO: Make user friendly and easy to use. Code Updated Regularly !

Website: https://sites.google.com/andrew.cmu.edu/printerchat

Getting Started

Printer

1. Use an tool such as KIAUH to compile and install Klipper firmware.

   • Make sure to install Crowsnest plugin to enable camera streaming.

2. Update config files accordingly, sample configs are provided for reference.

Code Changes

1. Get API key for chatgpt-4o from OpenAPI
2. Set up the environment from env.yml
3. Change Printer URL in runner.py, snapshooter.py and tools.py
4. In ./prompts/image_user_prompt.txt (point 6) give the description of the object.
5. Run as python runner.py

Information:

1. All prompts in ./prompts
2. Results and run log for single layer prints in results.zip
3. Results and run log for multilayer prints as presented in the paper are in results_2.zip
4. Result and run log for video in results_3.zip
5. Multi Layer print Gcode in Gcode file.

Cite Us:

If you use this work, please cite:

@article{jadhav2025llm,
  title={Llm-3D print: large language models to monitor and control 3D printing},
  author={Jadhav, Yayati and Pak, Peter and Farimani, Amir Barati},
  journal={Additive Manufacturing},
  pages={105027},
  year={2025},
  publisher={Elsevier}
}