Reasoning Summary

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

reasoning_summary.py

"""
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

1. Set up your virtual environment

   Mac

   uv venv --python 3.12
   source .venv/bin/activate
   

   uv venv --python 3.12
   .venv\Scripts\activate
   
2. Install dependencies

   uv pip install -U agno ddgs openai
   
3. Export your OpenAI API key

   Mac/Linux

   export OPENAI_API_KEY="your_openai_api_key_here"
   

   $Env:OPENAI_API_KEY="your_openai_api_key_here"
   
4. Run the example

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

   python reasoning_summary.py
   

Full source: cookbook/10_reasoning/models/openai/reasoning_summary.py