Adding a new model

Scrape the new model with the us_hard dataset and analyze the results with the LLM compliance tools repo.
Ensure ./analysis is symlinked to the llm-compliance checkout analysis subdir.
Add model metadata to model_metadata.json (one JSON object per line).
Install deps (first time): python3 -m venv .venv && source .venv/bin/activate && pip install -r requirements.txt.
Generate the site: python3 preprocess.py.
View locally: python3 -m http.server -d . 8000 then open http://localhost:8000/.
Commit and push. Deployment happens automatically.

Build outputs

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

Name		Name	Last commit message	Last commit date
Latest commit History 177 Commits
__pycache__		__pycache__
acknowledgments		acknowledgments
data		data
models		models
themes		themes
timeline		timeline
.DS_Store		.DS_Store
.gitignore		.gitignore
404.html		404.html
AGENTS.md		AGENTS.md
README.md		README.md
android-chrome-192x192.png		android-chrome-192x192.png
android-chrome-512x512.png		android-chrome-512x512.png
apple-touch-icon.png		apple-touch-icon.png
favicon-16x16.png		favicon-16x16.png
favicon-32x32.png		favicon-32x32.png
favicon.ico		favicon.ico
graphic.png		graphic.png
index.html		index.html
metadata.json		metadata.json
model_metadata.json		model_metadata.json
og-image.html		og-image.html
og-image.png		og-image.png
og-image.xcf		og-image.xcf
preprocess.py		preprocess.py
requirements.txt		requirements.txt
robots.txt		robots.txt
script.js		script.js
site.webmanifest		site.webmanifest
sitemap.xml		sitemap.xml
speechmap-logo.png		speechmap-logo.png
style.css		style.css