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:

Parse the list of products and the city.
For each product, invoke the get_price tool, which internally creates a sub‑agent that generates a realistic price table.
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

1.5 KiB Raw Permalink Blame History Unescape Escape