> ## Documentation Index
> Fetch the complete documentation index at: https://docs-v1.agno.com/llms.txt
> Use this file to discover all available pages before exploring further.

# OpenAI o3-mini with reasoning effort

## Code

```python cookbook/reasoning/models/openai/reasoning_effort.py theme={null}
from agno.agent import Agent
from agno.models.openai import OpenAIChat
from agno.tools.duckduckgo import DuckDuckGoTools

agent = Agent(
    model=OpenAIChat(id="o3-mini", reasoning_effort="high"),
    tools=[
        DuckDuckGoTools(
            search=True,
            news=True,
        )
    ],
    instructions="Use tables to display data.",
    show_tool_calls=True,
    markdown=True,
)
agent.print_response("Write a report comparing artificial intelligence trends in different industries", stream=True)


```

## Usage

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

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

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

  <Step title="Run Agent">
    <CodeGroup>
      ```bash Mac theme={null}
        python cookbook/reasoning/models/openai/reasoning_effort.py
      ```

      ```bash Windows theme={null}
        python cookbook/reasoning/models/openai/reasoning_effort.py
      ```
    </CodeGroup>
  </Step>
</Steps>