> ## Documentation Index
> Fetch the complete documentation index at: https://docs.agno.com/llms.txt
> Use this file to discover all available pages before exploring further.

# Agent with Tools

> Give a Llama agent a stock price tool with YFinanceTools.

## Code

```python tool_use.py theme={null}
from agno.agent import Agent
from agno.models.meta import Llama
from agno.tools.yfinance import YFinanceTools

agent = Agent(
    model=Llama(id="Llama-4-Maverick-17B-128E-Instruct-FP8"),
    tools=[YFinanceTools()],
)

if __name__ == "__main__":
    agent.print_response("What is the price of AAPL stock?")
```

## Usage

<Steps>
  <Snippet file="create-venv-step.mdx" />

  <Step title="Set your LLAMA API key">
    ```bash theme={null}
    export LLAMA_API_KEY=YOUR_API_KEY
    ```
  </Step>

  <Step title="Install dependencies">
    ```bash theme={null}
    uv pip install llama-api-client yfinance agno
    ```
  </Step>

  <Step title="Run Agent">
    Save the code above as `tool_use.py`, then run:

    ```bash theme={null}
    python tool_use.py
    ```
  </Step>
</Steps>