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This example demonstrates streaming responses from a team using specialized agents with financial tools to provide real-time stock information with streaming output.
Code
cookbook/examples/teams/streaming/01_team_streaming.py
"""
This example demonstrates streaming responses from a team.
The team uses specialized agents with financial tools to provide real-time
stock information with streaming output.
"""
from typing import Iterator # noqa
from agno.agent import Agent
from agno.models.openai import OpenAIChat
from agno.team import Team
from agno.tools.exa import ExaTools
# Stock price and analyst data agent
stock_searcher = Agent(
name="Stock Searcher",
model=OpenAIChat(id="gpt-5-mini"),
role="Searches the web for information on a stock.",
tools=[
ExaTools(
include_domains=["cnbc.com", "reuters.com", "bloomberg.com", "wsj.com"],
text=False,
show_results=True,
highlights=False,
)
],
)
# Company information agent
company_info_agent = Agent(
name="Company Info Searcher",
model=OpenAIChat(id="gpt-5-mini"),
role="Searches the web for information on a stock.",
tools=[
ExaTools(
include_domains=["cnbc.com", "reuters.com", "bloomberg.com", "wsj.com"],
text=False,
show_results=True,
highlights=False,
)
],
)
# Create team with streaming capabilities
team = Team(
name="Stock Research Team",
model=OpenAIChat(id="gpt-5-mini"),
members=[stock_searcher, company_info_agent],
markdown=True,
show_members_responses=True,
)
# Test streaming response
team.print_response(
"What is the current stock price of NVDA?",
stream=True,
stream_events=True,
)
Usage
Create a virtual environment
Open the Terminal and create a python virtual environment.python3 -m venv .venv
source .venv/bin/activate
Install required libraries
Set environment variables
export OPENAI_API_KEY=****
export EXA_API_KEY=****
Run the agent
python cookbook/examples/teams/streaming/01_team_streaming.py