> ## 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.

# Reasoning Summary

> Request an automatic reasoning summary from o4-mini while it writes a stock report.

```python reasoning_summary.py theme={null}
"""
Reasoning Summary
=================

Demonstrates this reasoning cookbook example.
"""

from agno.agent import Agent
from agno.models.openai import OpenAIResponses
from agno.tools.websearch import WebSearchTools


# ---------------------------------------------------------------------------
# Create Example
# ---------------------------------------------------------------------------
def run_example() -> None:
    # 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,
    )


# ---------------------------------------------------------------------------
# Run Example
# ---------------------------------------------------------------------------
if __name__ == "__main__":
    run_example()
```

## Run the Example

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

**1. Install dependencies**

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

**2. 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"
```

**3. Run the example**

Save the code above as `reasoning_summary.py`, then run:

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

Full source: [cookbook/10\_reasoning/models/openai/reasoning\_summary.py](https://github.com/agno-agi/agno/blob/v3.0.4/cookbook/10_reasoning/models/openai/reasoning_summary.py)


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