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# Shopping Planner Agent
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## Prerequisites
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- Python 3.10 or newer
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- A local LLM endpoint (e.g., LM Studio, Ollama) running at `http://localhost:1234/v1`.
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- The model name should be set in `agent.py` where `model="<название модели в LM Studio>"`.
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## Installation
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```bash
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python -m venv .venv
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source .venv/bin/activate # On Windows use .venv\Scripts\activate
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pip install -r requirements.txt
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```
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## Running the Agent
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```bash
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python agent.py
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```
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You will be prompted to enter a query. The agent will stream tokens to the console incrementally, separating each step with `--- --- ---`.
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## Example
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```
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Введите запрос: Какой у меня бюджет на продукты в Казани?
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get_price({'product': 'молоко', 'city': 'Казань'})--- --- ---
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... (streamed tokens) ...
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--- --- ---
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```
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Ensure that the endpoint URL and model name match your local setup.
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