.
├─ test_case # from QuixBugs(Only the executable `.py` files and corresponding `.txt` )
├─ results # some sample results
├─ cyto.json # Generated output (do not edit manually)
├─ index.html # Frontend visualization (Cytoscape)
├─ main.py # Calls OpenAI and generates cyto.json
├─ package-lock.json
├─ package.json 
└─ README.md

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Requirements

• Python 3.10+
• OpenAI API key (API billing enabled)

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Setup

1. Install dependencies

pip3 install -r requirements.txt

2. Set your API key

Windows(cmd):

setx OPENAI_API_KEY "YOUR_API_KEY"

macOS / Linux:

export OPENAI_API_KEY="YOUR_API_KEY"

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Quick Start (recommended)

Run everything with a single command — installs deps, generates graphs, starts server, and opens the browser automatically:

python run.py

First run will prompt for your OpenAI API key and offer to save it to .env for future runs. It might take a while.

Options

python run.py              # QuixBugs cases only (test_case/)
python run.py --swe        # Also fetch & process SWE-bench Lite cases
python run.py --no-pipeline  # Skip generation, just view existing output
python run.py --dir <path>   # Process a custom input directory if you want

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View visualization

python -m http.server 8000
# open http://localhost:8000/index.html

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Notes

Do not commit your API key. Use a .env file (added to .gitignore) instead.