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Documentation Index

Fetch the complete documentation index at: https://docs.agno.com/llms.txt

Use this file to discover all available pages before exploring further.

1

Add the following code to your Python file

openai.py
from agno.agent import Agent
from agno.models.openai import OpenAIResponses
from agno.tools.hackernews import HackerNewsTools

# Setup the reasoning Agent
agent = Agent(
    model=OpenAIResponses(
        id="o4-mini",
        reasoning_summary="auto",  # Requesting a reasoning summary
    ),
    tools=[HackerNewsTools()],
    instructions="Use tables to display the analysis",
    markdown=True,
)

agent.print_response(
    "Write a brief report comparing NVDA to TSLA",
    stream=True,
)
2

Set up your virtual environment

uv venv --python 3.12
source .venv/bin/activate
3

Install dependencies

uv pip install -U agno openai ddgs
4

Export your OpenAI API key

  export OPENAI_API_KEY="your_openai_api_key_here"
5

Run Agent

python openai.py