> ## 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.

# Tool Use

> Give a HuggingFace agent web search with WebSearchTools.

## Code

```python huggingface_tool_use.py theme={null}
from agno.agent import Agent
from agno.models.huggingface import HuggingFace
from agno.tools.websearch import WebSearchTools

agent = Agent(
    model=HuggingFace(id="openai/gpt-oss-120b"),
    tools=[WebSearchTools()],
    markdown=True,
)

if __name__ == "__main__":
    # --- Sync ---
    agent.print_response("What is the latest news on AI?")

    # --- Sync + Streaming ---
    agent.print_response("What is the latest news on AI?", stream=True)
```

## Usage

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

  <Step title="Set your API key">
    ```bash theme={null}
    export HF_TOKEN=xxx
    ```
  </Step>

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

  <Step title="Save the example">
    Save the code above as `huggingface_tool_use.py`.
  </Step>

  <Step title="Run Agent">
    ```bash theme={null}
    python huggingface_tool_use.py
    ```
  </Step>
</Steps>