> ## Documentation Index
> Fetch the complete documentation index at: https://agno-v2-docs-scavio-google-v2.mintlify.site/llms.txt
> Use this file to discover all available pages before exploring further.

# Agent With Tools

> Give an agent DuckDuckGo web search tools and stream a summary of a recent AI safety headline.

```python agent_with_tools.py theme={null}
"""
Agent With Tools
=============================

Agent With Tools Quickstart.
"""

from agno.agent import Agent
from agno.models.openai import OpenAIResponses
from agno.tools.duckduckgo import DuckDuckGoTools

# ---------------------------------------------------------------------------
# Create Agent
# ---------------------------------------------------------------------------
agent = Agent(
    name="Tool-Enabled Agent",
    model=OpenAIResponses(id="gpt-5.2"),
    tools=[DuckDuckGoTools()],
)

# ---------------------------------------------------------------------------
# Run Agent
# ---------------------------------------------------------------------------
if __name__ == "__main__":
    agent.print_response(
        "Find one recent AI safety headline and summarize it.", stream=True
    )
```

## Run the Example

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

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

  <Step title="Export your OpenAI API key">
    <CodeGroup>
      ```bash Mac/Linux theme={null}
      export OPENAI_API_KEY="your_openai_api_key_here"
      ```

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

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

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

Full source: [cookbook/02\_agents/01\_quickstart/agent\_with\_tools.py](https://github.com/agno-agi/agno/blob/main/cookbook/02_agents/01_quickstart/agent_with_tools.py)