> ## Documentation Index
> Fetch the complete documentation index at: https://agno-v2.mintlify.site/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

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

**1. 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
```

**2. Install dependencies**

```bash theme={null}
uv pip install -U openai ddgs agno
```

**3. Run Agent**

Save the code above as `tool_use.py`, then run:

```bash theme={null}
python tool_use.py
```


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