# Shopping List AI Agent

This project demonstrates a simple hierarchical AI agent built with LangChain that helps plan a shopping list, fetches prices for each item using a sub‑agent, and calculates the total cost.

## Prerequisites

- Python 3.10+
- A local LLM server (e.g., LM Studio) running at `http://localhost:1234/v1`.  
  The server must expose an OpenAI‑compatible API.

## Installation

bash
# Clone the repository
git clone https://github.com/your-username/shopping-list-agent.git
cd shopping-list-agent

# Create a virtual environment (optional but recommended)
python -m venv venv
source venv/bin/activate   # On Windows use `venv\\Scripts\\activate`

# Install dependencies
pip install -r requirements.txt


## Running the Agent

bash
python src/main.py


The script will ask the agent to plan a shopping list for the following request:


Помоги составить список покупок: молоко, хлеб, яблоки. Я нахожусь в Казани.


The agent will:

1. Parse the list of products and the city.
2. For each product, invoke the `get_price` tool, which internally creates a sub‑agent that generates a realistic price table.
3. Sum the prices and output the final total.

All intermediate tool calls and the final answer are printed to the console.

## Customization

- **Model**: Change the `model` parameter in `src/main.py` to match the model name exposed by your LM Studio instance.
- **Temperature**: Adjust the `temperature` argument to control the randomness of the responses.

## License

MIT License