> ## 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 LM Studio agent WebSearchTools and stream its response to a web-search query.

## Code

```python tool_use.py theme={null}
from agno.agent import Agent
from agno.models.lmstudio import LMStudio
from agno.tools.websearch import WebSearchTools

agent = Agent(
    model=LMStudio(id="qwen2.5-7b-instruct-1m"),
    tools=[WebSearchTools()],
    markdown=True,
)
agent.print_response("Whats happening in France?", stream=True)
```

## Usage

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

  <Step title="Install LM Studio">
    Install LM Studio from [here](https://lmstudio.ai/download) and download the
    model you want to use.
  </Step>

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