Chick-potle

An AI Chat App built with Reboot that demonstrates a small food-ordering flow driven from inside an AI chat client. The AI calls tools to start an order, browse the menu, and add or remove items; humans see two embedded React UIs — a menu grid and a cart — rendered alongside the conversation.

State model

• User — per-user entry point. Auto-constructed for each authenticated chat user; exposes start_order, which atomically creates a fresh FoodOrder (with the pre-populated menu) and returns its ID.
• FoodOrder — one ordering session. Holds a menu (the list of items the AI can offer) and a cart (the items the user has added so far, with quantities). The cart's running total is recomputed from the menu on read, so item prices stay in sync if the menu is ever updated.

The user-facing flow is:

1. The AI calls User.start_order and gets back an order ID.
2. It calls FoodOrder.show_menu to open the menu UI in the chat, where the user can browse items.
3. As the conversation continues, the AI calls add_to_cart / remove_from_cart (or the user clicks "+ Add" buttons in the menu UI), and show_cart opens the cart UI to display the running total.

get_menu, get_cart, add_to_cart, and remove_from_cart are exposed as MCP tools, so an MCP-aware AI client can drive the order programmatically.

Quick start

# Install Python dependencies and create the virtualenv.
uv sync

# Install web dependencies.
cd web && npm install && cd ..

# Generate API code (Python + React bindings).
uv run rbt generate

# Build the React UIs.
cd web && npm run build && cd ..

Then run the app (each command in its own terminal, from the project directory):

# Terminal 1: start the Reboot backend.
uv run rbt dev run

# Terminal 2: start the Vite dev server for Hot Module Replacement.
cd web && npm run dev

Then open http://localhost:9991 and follow the setup wizard to connect a chat host (such as Claude or ChatGPT) to the app.

State persists between restarts under the name chick-potle (configured in .rbtrc). To wipe it:

uv run rbt dev expunge --application-name=chick-potle

Running the tests

The backend has an in-process test suite that exercises the User and FoodOrder servicers via direct Reboot calls — no MCP client, no browser, no external services.

uv sync
uv run pytest backend/

Try it out

From the connected chat host, try these prompts to exercise each capability:

1. Start a new food order. — exercises start_order, which creates a FoodOrder for this user and returns its ID.
2. Show me the menu. — exercises show_menu and renders the menu UI in the chat.
3. Add a Chicken Burrito and two Mexican Coca-Colas to my cart. — exercises add_to_cart (the AI looks up the matching item_index from get_menu).
4. What's in my cart? — exercises get_cart and show_cart; the rendered UI lists each line item with the running total.
5. Remove the Coca-Colas. — exercises remove_from_cart.

Project layout

chick-potle/
├── api/ai_chat_food/v1/food.py   # State models + method declarations.
├── backend/
│   ├── api/                      # Generated Python bindings.
│   └── src/
│       ├── main.py               # Application entrypoint.
│       └── servicers/food.py     # User and FoodOrder servicers.
└── web/
    ├── api/                      # Generated React bindings.
    └── ui/
        ├── menu/                 # Menu grid UI.
        └── cart/                 # Cart UI.

Learn more

• Reboot Documentation
• MCP Specification