Documentation Index
Fetch the complete documentation index at: /llms.txt
Use this file to discover all available pages before exploring further.
Set reasoning_summary to auto on o4-mini to surface its reasoning summary while comparing NVDA to TSLA.
Add the following code to your Python file
from agno.agent import Agent
from agno.models.openai import OpenAIResponses
from agno.tools.websearch import WebSearchTools
# 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,
)
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 ddgs
Export your OpenAI API key
export OPENAI_API_KEY="your_openai_api_key_here"
$Env:OPENAI_API_KEY="your_openai_api_key_here"
Run Agent
python openai.py
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