Chat Reasoning O3 Mini

Run o3-mini with high reasoning effort and YFinance tools to write a stock report.

reasoning_o3_mini.py

"""
Openai Reasoning O3 Mini
========================

Cookbook example for `openai/chat/reasoning_o3_mini.py`.
"""

from agno.agent import Agent
from agno.models.openai import OpenAIChat
from agno.tools.yfinance import YFinanceTools

# ---------------------------------------------------------------------------
# Create Agent
# ---------------------------------------------------------------------------

agent = Agent(
    model=OpenAIChat(id="o3-mini", reasoning_effort="high"),
    tools=[YFinanceTools()],
    markdown=True,
)

# Print the response in the terminal
agent.print_response("Write a report on the NVDA, is it a good buy?", stream=True)

# ---------------------------------------------------------------------------
# Run Agent
# ---------------------------------------------------------------------------

if __name__ == "__main__":
    pass

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 openai yfinance
   
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_o3_mini.py, then run:

   python reasoning_o3_mini.py
   

Full source: cookbook/90_models/openai/chat/reasoning_o3_mini.py