Adding a new model

1. Scrape the new model with the us_hard dataset and analyze the results with the LLM compliance tools repo.
2. Ensure ./analysis is symlinked to the llm-compliance checkout analysis subdir.
3. Add model metadata to model_metadata.json (one JSON object per line).
4. Install deps: uv sync.
5. Generate the site: uv run python preprocess.py.
6. View locally: python3 -m http.server -d . 8000 then open http://localhost:8000/.
7. Commit and push. Deployment happens automatically.

Build outputs

• Runtime JSON (tracked):
  • data/metadata-core.json
• Build-only artifacts (not tracked; stored in cache):
  • /.cache/question-theme-summary/
  • /.cache/model-themes/
  • /.cache/theme_details/

Rebuild options

• Full build from analysis + metadata: uv run python preprocess.py
• Static-only rebuild from cache artifacts: uv run python preprocess.py --static-only