WhatsAI by Tisement Media
AIM: A fully deployable AI customer service agent built for small businesses.
Philosophy
Customers want their business on WhatsApp, not just for marketing, but for the actual customer service. Small businesses don't have the staff to answer 24/7. WhatsAI lets small businesses engage leads, answer FAQs, book orders, and handle real conversations inside WhatsApp — all from a live webhook and an LLM backend that Tisement Media can configure per client.
Installation
pip install tisement-agent
Setup
whatsai setup
You'll be prompted for:
- LLM provider + API key (
OPENAI_API_KEY,ANTHROPIC_API_KEY, or custom endpoint) - WhatsApp Business API credentials (
WHATSAPP_PHONE_NUMBER_ID,WHATSAPP_ACCESS_TOKEN) - Optional: Facebook Messenger and Instagram
- Client config path
Run Webhook Server
whatsai run --config ./clients/savannah-grill
Test Locally
whatsai chat --config ./clients/savannah-grill
Project Structure
tisement-agent/
tisement_agent/
cli/ — Typer CLI entry points
core/ — Webhook router, LLM client, conversation store
platforms/ — WhatsApp, Messenger, Instagram adapters
clients/ — Client configs + KBs (not shipped, user-local)
tests/
Deployment
The server is a single FastAPI app. Deploy to Fly.io, Railway, Railway, Render, Heroku, or any VPS.
Environment variables for production:
WHATSAPP_PHONE_NUMBER_IDWHATSAPP_ACCESS_TOKENWHATSAPP_WEBHOOK_VERIFY_TOKENLLM_API_KEYLLM_PROVIDER(openai | anthropic | custom)LLM_MODEL_NAMEPORT(auto-set on most platforms)
License
MIT © Tisement Media
1 maintainer
Metadata
1 maintainer
Release files for tisement-agent 0.2.0
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