reasoning_effort.py
Run the Example
1
Set up your virtual environment
2
Install dependencies
3
Export your OpenAI API key
4
Run the example
Save the code above as
reasoning_effort.py, then run:Documentation Index
Fetch the complete documentation index at: /llms.txt
Use this file to discover all available pages before exploring further.
Set xhigh reasoning effort and request an automatic reasoning summary from OpenAI Responses.
"""
Openai Reasoning Effort
=======================
Cookbook example for `openai/responses/reasoning_effort.py`.
"""
from agno.agent import Agent
from agno.models.openai import OpenAIResponses
# ---------------------------------------------------------------------------
# Create Agent
# ---------------------------------------------------------------------------
# reasoning_effort sets how much the model thinks before it answers. OpenAI names
# "none", "minimal", "low", "medium", "high", "xhigh" and "max", and each model page
# lists the ones that model takes. reasoning_summary asks for a summary of the thinking.
agent = Agent(
model=OpenAIResponses(
id="gpt-5.5", reasoning_effort="xhigh", reasoning_summary="auto"
),
markdown=True,
)
agent.print_response(
"Three switches downstairs, one bulb upstairs. One trip up. Which switch?",
stream=True,
)
# ---------------------------------------------------------------------------
# Run Agent
# ---------------------------------------------------------------------------
if __name__ == "__main__":
pass
Set up your virtual environment
uv venv --python 3.12
source .venv/bin/activate
uv venv --python 3.12
.venv\Scripts\activate
Install dependencies
uv pip install -U agno openai
Export your OpenAI API key
export OPENAI_API_KEY="your_openai_api_key_here"
$Env:OPENAI_API_KEY="your_openai_api_key_here"
Run the example
reasoning_effort.py, then run:python reasoning_effort.py
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