This adds a small FastAPI backend exposing your persona CoT flow and a minimal web UI that visualizes steps similar to your screenshot.
- Python 3.11+ (you have 3.13 in venv)
GOOGLE_API_KEYin a.envfile at repo root
GOOGLE_API_KEY=your_key_here
# With your venv activated
pip install -r requirements.txt
python -m uvicorn api.main:app --reload --port 8000
- Health: http://localhost:8000/healthz
- Chat (batch): POST http://localhost:8000/api/chat {"query":"..."}
- Chat (stream): POST http://localhost:8000/api/chat/stream {"query":"..."}
Just open frontend/index.html in your browser. It calls http://localhost:8000.
If your browser blocks mixed content or CORS, ensure the API is running on localhost:8000 (we enabled permissive CORS).
persona/engine.pycontains aPersonaEnginethat:- Enforces strict JSON steps: analyse → think → output → validate → result
- Limits repeated content and think streaks
- Provides a generator to stream steps
api/main.pywraps the engine into synchronous and streaming endpointsfrontend/index.htmlis a small static UI that renders each step card
- Backend: Docker + Render/Cloud Run/Fly.io
- Frontend: Vercel/Netlify or any static host; set API URL env and enable HTTPS
- Keep
GOOGLE_API_KEYserver-side only; the static frontend talks to your API.