> ## 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.

# Groq Browser Search

> Answer live questions with Groq's built-in browser_search tool on GPT-OSS 20B.

```python browser_search.py theme={null}
"""
Groq Browser Search
===================

Cookbook example for `groq/browser_search.py`.
"""

from agno.agent import Agent
from agno.models.groq import Groq

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

agent = Agent(
    model=Groq(id="openai/gpt-oss-20b"),
    tools=[{"type": "browser_search"}],
)
agent.print_response("Is the Going-to-the-sun road open for public?")

# ---------------------------------------------------------------------------
# Run Agent
# ---------------------------------------------------------------------------

if __name__ == "__main__":
    pass
```

## Run the Example

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

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

  <Step title="Export your Groq API key">
    <CodeGroup>
      ```bash Mac/Linux theme={null}
      export GROQ_API_KEY="your_groq_api_key_here"
      ```

      ```bash Windows theme={null}
      $Env:GROQ_API_KEY="your_groq_api_key_here"
      ```
    </CodeGroup>
  </Step>

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

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

Full source: [cookbook/90\_models/groq/browser\_search.py](https://github.com/agno-agi/agno/blob/main/cookbook/90_models/groq/browser_search.py)