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 reasoning_effort to high on o3-mini for a tool-assisted stock report.
"""
Reasoning Effort
================
Demonstrates this reasoning cookbook example.
"""
from agno.agent import Agent
from agno.models.openai import OpenAIChat
from agno.tools.websearch import WebSearchTools
# ---------------------------------------------------------------------------
# Create Example
# ---------------------------------------------------------------------------
def run_example() -> None:
agent = Agent(
model=OpenAIChat(id="o3-mini", reasoning_effort="high"),
tools=[WebSearchTools(enable_news=False)],
instructions="Use tables to display data.",
markdown=True,
)
agent.print_response("Write a report comparing NVDA to TSLA", stream=True)
# ---------------------------------------------------------------------------
# Run Example
# ---------------------------------------------------------------------------
if __name__ == "__main__":
run_example()
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 ddgs 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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