{
 "schema_version": 1,
 "generated": "2026-10-20",
 "id": "pan-chera-multi-agent-cad--agent-generates-part-variants-from-briefs",
 "repo": "Pan-Chera/Multi-Agent-CAD",
 "repo_url": "https://github.com/Pan-Chera/Multi-Agent-CAD",
 "repo_slug": "pan-chera-multi-agent-cad",
 "title": "Have a coding agent generate part variants from briefs",
 "page_title": "How to have a coding agent generate part variants from briefs with Multi Agent CAD",
 "summary": "Let an agent set the brief, run the pipeline, and return exported part files for each variant.",
 "who": "An engineer who uses a coding agent for routine work and wants it to produce several CAD variants from a list of briefs.",
 "problem": "Preparing and running each variant by hand is repetitive when only dimensions or small features change.",
 "outcome": "A set of generated part files, one per brief, with the agent reporting each output path and QA result.",
 "steps": [
  "`git clone https://github.com/Pan-Chera/Multi-Agent-CAD.git`",
  "`cd Multi-Agent-CAD`",
  "`conda env create -f environment.yml`",
  "`conda activate multi_agent_cad`",
  "`export DASHSCOPE_API_KEY=\"your-key\"`",
  "For each brief, set `USER_REQUEST` in `multi_agent_cad/config.py` and run `python -m multi_agent_cad.graph`, then collect the exported files (inferred, check the README)"
 ],
 "agent_prompt": "Use the Multi-Agent-CAD repo (github.com/Pan-Chera/Multi-Agent-CAD). For each brief in <list of briefs>, set USER_REQUEST in multi_agent_cad/config.py, run python -m multi_agent_cad.graph, and return the STEP and STL paths with QA results. Verify that each output matches its brief dimensions before reporting.",
 "agents": [
  "any"
 ],
 "difficulty": "Intermediate",
 "time": "1 hour",
 "basis": "readme",
 "caveat": "Each run uses model calls billed to your provider, and the README's cost figures come from its own benchmark, not from your runs.",
 "category": "Work and operations",
 "tags": [
  "Work and operations"
 ],
 "lang": "python",
 "requirements": [
  "Python with conda or a Python 3.11 virtual environment",
  "git to clone the repository",
  "An API key for an OpenAI-compatible model endpoint, such as the default DashScope setup",
  "Enough local disk and network access to run the model calls"
 ],
 "risk": "none",
 "seen_in_the_wild": false,
 "mentioned_publicly": false,
 "risks": [
  {
   "tag": "credentials",
   "notice": "The agent needs your model API key in its environment, so limit which agent runs have access to it."
  }
 ],
 "best": false,
 "score": 0.6,
 "evidence": [],
 "url": "https://dedupedai.com/use-cases/pan-chera-multi-agent-cad/agent-generates-part-variants-from-briefs/",
 "md": "https://dedupedai.com/use-cases/pan-chera-multi-agent-cad/agent-generates-part-variants-from-briefs/index.md",
 "disclaimer": "Deduped lists open-source repositories that belong to other people. We do not own, maintain, audit, or vouch for any of them, and a repo appearing here is not an endorsement or a safety check. The use cases, steps, and prompts are written by AI and may be incomplete, outdated, or just wrong. Where a use case is marked \"Seen in the wild\", we link to public posts where someone described something similar, but we have not verified those posts and the use case itself is still our AI's own write-up. Use all of this at your own risk. Only run code, commands, or agents on systems and accounts you are authorized to use, and read the code and every command before you run it, especially anything that touches credentials, files, or the network. Nothing here is professional, security, legal, or financial advice. All trademarks and project names belong to their respective owners, and their use here does not imply affiliation. Content is provided as is, without warranties of any kind. Found a mistake, a safety problem, or something you want removed? Email hello@dedupedai.com and we will look at it promptly.",
 "api": "https://dedupedai.com/api/v1/usecases/pan-chera-multi-agent-cad--agent-generates-part-variants-from-briefs.json",
 "api_version": "v1"
}