Wellness Coach AI

Wellness Coach

Spin up a personalized Baymax wellness coach video session from health + calendar data.

What This Skill Does

1. Reads wearable health data (mock or real: Oura/Fitbit/Apple Health) 2. Fetches today's Google Calendar events 3. Calls Claude to generate a Baymax system prompt + wellness recommendations 4. Creates a live Tavus CVI session (interactive video avatar) 5. Optionally delivers a Telegram morning briefing with the session link

Project Setup

git clone https://github.com/AndreChuabio/wellness-coach
cd wellness-coach
pip install -r backend/requirements.txt
cp .env.example .env  # fill in API keys

Required API Keys (.env)

ANTHROPIC_API_KEY=       # Claude context generation
TAVUS_API_KEY=           # Tavus CVI sessions
TAVUS_REPLICA_ID=        # Avatar replica (platform.tavus.io → Replicas)
TAVUS_PERSONA_ID=        # Baymax persona (platform.tavus.io → Personas)

Running the Backend

cd backend
uvicorn main:app --reload
Swagger UI: http://localhost:8000/docs

Running the Frontend

cd frontend
python3 -m http.server 3000
Open: http://localhost:3000

Key Endpoints

| Method | Path | What it does | |---|---|---| | GET | /health-data | Today's wearable metrics | | GET | /calendar | Today's calendar events | | POST | /start-session | Full pipeline → Tavus CVI URL + recs | | GET | /debug-env | Check all API keys are loaded |

Morning Briefing Pipeline (Telegram)

Run both scripts back-to-back — always together so the Tavus link is fresh:

python3 cron/morning_context.py && python3 cron/send_briefing.py

This builds context, pre-warms a Tavus session, and sends a Telegram message with:

Automated Daily Cron (OpenClaw)

Register a 7AM daily cron via OpenClaw to automate the morning briefing. See references/openclaw-cron.md for the exact setup.

Connecting Real Wearable Data

See references/wearables.md for Oura, Fitbit, and Apple Health integration guides.

Google Calendar Integration

See references/gcal-setup.md for OAuth setup to get real calendar events.

Wellness Recommendations Logic

Recommendations are generated in backend/context_builder.py based on:

| Signal | Trigger | Suggestion | |---|---|---| | HRV < 50ms | below avg | Box breathing, recovery day | | Sleep score < 75 | poor sleep | Nap window, caffeine cutoff | | High-stakes meeting | keyword match | 4-7-8 breathing beforehand | | 4+ meetings | packed day | Micro-meditations between meetings | | Recovery ≥ 80 + HRV ≥ avg | great day | Push harder, workout, cold exposure |

Knowledge Base (Tavus Persona)

Upload wellness content directly to the Tavus Persona via: platform.tavus.io → Personas → Your Persona → Knowledge Base → Add Files

Format files as structured scripts:

# [Exercise Name]
When to use
Script (word-for-word guide)
Duration

Tavus Persona Settings

Common Issues

Avatar nods but doesn't speak → Mic permission not granted. Click lock icon in browser → allow microphone → rejoin.

Mock mode despite keys set → .env not loading. Run /debug-env to verify. Ensure .env is in project root, not backend/.

Tavus link expired → Sessions last ~10 min. Always run morning_context.py and send_briefing.py together right before use.

GCal shows mock data → Set GOOGLE_CREDENTIALS_PATH and GOOGLE_TOKEN_PATH in .env. Run python3 setup_gcal.py once to authorize.

Script (word-for-word guide)