# Llama Tool Use (/examples/models/meta/llama/tool-use)



```python title="tool_use.py"
"""Run `uv pip install agno llama-api-client yfinance` to install dependencies."""

import asyncio

from agno.agent import Agent
from agno.models.meta import Llama
from agno.tools.yfinance import YFinanceTools

# ---------------------------------------------------------------------------
# Create Agent
# ---------------------------------------------------------------------------

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

# ---------------------------------------------------------------------------
# Run Agent
# ---------------------------------------------------------------------------
if __name__ == "__main__":
    # --- Sync ---
    agent.print_response("What is the price of AAPL stock?")

    # --- Sync + Streaming ---
    agent.print_response("Tell me the price of AAPL stock", stream=True)

    # --- Async ---
    asyncio.run(agent.aprint_response("Whats the price of AAPL stock?"))

    # --- Async + Streaming ---
    asyncio.run(agent.aprint_response("Whats the price of AAPL stock?", stream=True))
```

## Run the Example [#run-the-example]

<Steps>
    <Step title="Set up your virtual environment">
      <CodeBlockTabs defaultValue="Mac">
        <CodeBlockTabsList>
          <CodeBlockTabsTrigger value="Mac">
            Mac
          </CodeBlockTabsTrigger>

          <CodeBlockTabsTrigger value="Windows">
            Windows
          </CodeBlockTabsTrigger>
        </CodeBlockTabsList>

        <CodeBlockTab value="Mac">
          ```bash
          uv venv --python 3.12
          source .venv/bin/activate
          ```
        </CodeBlockTab>

        <CodeBlockTab value="Windows">
          ```bash
          uv venv --python 3.12
          .venv\Scripts\activate
          ```
        </CodeBlockTab>
      </CodeBlockTabs>
    </Step>

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

  <Step title="Export your Meta Llama API key">
    <CodeBlockTabs defaultValue="Mac/Linux">
      <CodeBlockTabsList>
        <CodeBlockTabsTrigger value="Mac/Linux">
          Mac/Linux
        </CodeBlockTabsTrigger>

        <CodeBlockTabsTrigger value="Windows">
          Windows
        </CodeBlockTabsTrigger>
      </CodeBlockTabsList>

      <CodeBlockTab value="Mac/Linux">
        ```bash
        export LLAMA_API_KEY="your_llama_api_key_here"
        ```
      </CodeBlockTab>

      <CodeBlockTab value="Windows">
        ```powershell
        $Env:LLAMA_API_KEY="your_llama_api_key_here"
        ```
      </CodeBlockTab>
    </CodeBlockTabs>
  </Step>

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

    ```bash
    python tool_use.py
    ```
  </Step>
</Steps>

Full source: [cookbook/90\_models/meta/llama/tool\_use.py](https://github.com/agno-agi/agno/blob/8f36eaf2d18e91afa7b327eec66a3cd3685dcb87/cookbook/90_models/meta/llama/tool_use.py)