> ## Documentation Index
> Fetch the complete documentation index at: https://agno-v2-service-account.mintlify.site/llms.txt
> Use this file to discover all available pages before exploring further.

# Tool Use

> Give a local LlamaCpp model web search tools and stream the tool-assisted answer.

```python tool_use.py theme={null}
"""Run `uv pip install ddgs` to install dependencies."""

from agno.agent import Agent
from agno.models.llama_cpp import LlamaCpp
from agno.tools.websearch import WebSearchTools

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

agent = Agent(
    model=LlamaCpp(id="ggml-org/gpt-oss-20b-GGUF"),
    tools=[WebSearchTools()],
    markdown=True,
)

# ---------------------------------------------------------------------------
# Run Agent
# ---------------------------------------------------------------------------
if __name__ == "__main__":
    # --- Sync ---
    agent.print_response("Whats happening in France?")

    # --- Sync + Streaming ---
    agent.print_response("Whats happening in France?", stream=True)
```

## Run the Example

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

  <Step title="Install dependencies">
    ```bash theme={null}
    uv pip install -U agno ddgs openai
    ```
  </Step>

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

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

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