# Music Store Customer Support Bot - Starter Code

Simple starter code for building a music store customer support agent using the Chinook music store database. Uses either `create_agent()` or `create_deep_agent()` agent abstractions.

## Setup

```bash
# 1. Create and activate virtual environment
# rm -rf venv (optional to clear existing venv)
python3 -m venv venv # (clear existing venv)
source venv/bin/activate

# 2. Install dependencies
pip install --upgrade -r requirements.txt

3. Add your API keys to .env
   - OPENAI_API_KEY: https://platform.openai.com/api-keys
   - LANGSMITH_API_KEY: https://smith.langchain.com/ (sign up, then Settings > API Keys)

# 4. Run Studio
langgraph dev
```

![LangGraph Studio Screenshot](studio.png)


This opens LangGraph Studio in your browser where you can chat with the agent.
The Chinook database is loaded automatically from GitHub on startup.

## Project Structure

```
take_home/
├── README.md
├── langgraph.json         # LangGraph Studio configuration
├── requirements.txt       # Python dependencies
├── .env                   # Environment variables (add your API keys here)
├── .env.example           # Template
└── src/
    ├── agent.py           # Agent definition
    ├── db.py              # Database connection (loads from GitHub)
    └── tools/
        ├── customer_tools.py # get_customer_orders tool
        └── music_tools.py    # list_tracks_by_artist tool
```

## Capabilities

The agent can:
1. **Order history** - View recent orders for a customer
2. **Browse music** - List tracks by artist name

## Database

The Chinook database is a sample music store database loaded automatically from GitHub. Tables include:
- **Customer** - Customer information
- **Invoice** - Purchase orders
- **InvoiceLine** - Items in each order
- **Track** - Music tracks
- **Album** - Albums containing tracks
- **Artist** - Artists who created albums
- **Genre** - Music genres