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A basic team with two specialized agents:
  1. HackerNews Researcher - Gets trending stories from HackerNews
  2. Finance Agent - Gets stock prices and financial data
The team leader coordinates by delegating to the appropriate agent based on the user’s request.
1

Create a Python file

basic_team.py
from agno.agent import Agent
from agno.models.openai import OpenAIResponses
from agno.team.team import Team
from agno.tools.hackernews import HackerNewsTools
from agno.tools.yfinance import YFinanceTools

hn_researcher = Agent(
    name="HackerNews Researcher",
    model=OpenAIResponses(id="gpt-5.2"),
    role="Gets trending stories from HackerNews.",
    tools=[HackerNewsTools()],
)

finance_agent = Agent(
    name="Finance Agent",
    model=OpenAIResponses(id="gpt-5.2"),
    role="Gets stock prices and financial data.",
    tools=[YFinanceTools()],
)

team = Team(
    name="Research Team",
    model=OpenAIResponses(id="gpt-5.2"),
    members=[hn_researcher, finance_agent],
    instructions=[
        "Delegate to the HackerNews Researcher for tech news and trends.",
        "Delegate to the Finance Agent for stock prices and financial data.",
        "Synthesize the results into a clear summary.",
    ],
    markdown=True,
    show_members_responses=True,
)

team.print_response(
    input="What are the top AI stories on HackerNews and how is NVDA doing?",
    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 yfinance
4

Export your OpenAI API key

export OPENAI_API_KEY="your_openai_api_key_here"
5

Run Team

python basic_team.py