# Shopping Planner Agent

## Prerequisites
- Python 3.10 or newer
- A local LLM endpoint (e.g., LM Studio, Ollama) running at `http://localhost:1234/v1`.
- The model name should be set in `agent.py` where `model="<название модели в LM Studio>"`.

## Installation
```bash
python -m venv .venv
source .venv/bin/activate  # On Windows use .venv\Scripts\activate
pip install -r requirements.txt
```

## Running the Agent
```bash
python agent.py
```
You will be prompted to enter a query. The agent will stream tokens to the console incrementally, separating each step with `--- --- ---`.

## Example
```
Введите запрос: Какой у меня бюджет на продукты в Казани?
get_price({'product': 'молоко', 'city': 'Казань'})--- --- ---
... (streamed tokens) ...
--- --- ---
```

Ensure that the endpoint URL and model name match your local setup.