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

# OpenAI o4-mini with reasoning summary

> Set reasoning_summary to auto on o4-mini to surface its reasoning summary while comparing NVDA to TSLA.

**1. Add the following code to your Python file**

```python openai.py theme={null}
from agno.agent import Agent
from agno.models.openai import OpenAIResponses
from agno.tools.websearch import WebSearchTools

# Setup the reasoning Agent
agent = Agent(
    model=OpenAIResponses(
        id="o4-mini",
        reasoning_summary="auto",  # Requesting a reasoning summary
    ),
    tools=[WebSearchTools(enable_news=False)],
    instructions="Use tables to display the analysis",
    markdown=True,
)

agent.print_response(
    "Write a brief report comparing NVDA to TSLA",
    stream=True,
)
```

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

**2. Install dependencies**

```bash theme={null}
uv pip install -U agno openai ddgs
```

**3. Export your OpenAI API key**

```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"
```

**4. Run Agent**

```bash theme={null}
python openai.py
```


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