1
Add the following code to your Python file
openai.py
2
Set up your virtual environment
3
Install dependencies
4
Export your OpenAI API key
5
Run Agent
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 OpenAIResponses so gpt-5-mini reasons more before answering.
Add the following code to your Python file
from agno.agent import Agent
from agno.models.openai import OpenAIResponses
from agno.tools.hackernews import HackerNewsTools
agent = Agent(
model=OpenAIResponses(id="gpt-5-mini", reasoning_effort="high"),
tools=[HackerNewsTools()],
instructions="Use tables to display data.",
markdown=True,
)
agent.print_response("Write a 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
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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