> ## 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 local LlamaCpp agent WebSearchTools and print its response to a web-search query.

## Code

```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

agent = Agent(
    model=LlamaCpp(id="ggml-org/gpt-oss-20b-GGUF"),
    tools=[WebSearchTools()],
    markdown=True,
)
agent.print_response("Whats happening in France?")
```

## Usage

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

  <Step title="Install LlamaCpp">
    Follow the [LlamaCpp installation guide](https://github.com/ggerganov/llama.cpp) and start the server:

    ```bash theme={null}
    llama-server -hf ggml-org/gpt-oss-20b-GGUF --ctx-size 0 --jinja -ub 2048 -b 2048
    ```
  </Step>

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