1
Create a Python file
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touch stream_events.py
2
Add the following code to your Python file
stream_events.py
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import asyncio
from uuid import uuid4
from agno.agent import RunEvent
from agno.agent.agent import Agent
from agno.models.anthropic.claude import Claude
from agno.models.openai import OpenAIChat
from agno.team import Team, TeamRunEvent
from agno.tools.duckduckgo import DuckDuckGoTools
from agno.tools.hackernews import HackerNewsTools
wikipedia_agent = Agent(
id="hacker-news-agent",
name="Hacker News Agent",
role="Search Hacker News for information",
tools=[HackerNewsTools()],
instructions=[
"Find articles about the company in the Hacker News",
],
)
website_agent = Agent(
id="website-agent",
name="Website Agent",
role="Search the website for information",
model=OpenAIChat(id="gpt-5-mini"),
tools=[DuckDuckGoTools()],
instructions=[
"Search the website for information",
],
)
user_id = str(uuid4())
id = str(uuid4())
company_info_team = Team(
name="Company Info Team",
id=id,
user_id=user_id,
model=Claude(id="claude-3-7-sonnet-latest"),
members=[
wikipedia_agent,
website_agent,
],
markdown=True,
instructions=[
"You are a team that finds information about a company.",
"First search the web and wikipedia for information about the company.",
"If you can find the company's website URL, then scrape the homepage and the about page.",
],
show_members_responses=True,
)
async def run_team_with_events(prompt: str):
content_started = False
async for run_output_event in company_info_team.arun(
prompt,
stream=True,
stream_events=True,
):
if run_output_event.event in [
TeamRunEvent.run_started,
TeamRunEvent.run_completed,
]:
print(f"\nTEAM EVENT: {run_output_event.event}")
if run_output_event.event in [TeamRunEvent.tool_call_started]:
print(f"\nTEAM EVENT: {run_output_event.event}")
print(f"TOOL CALL: {run_output_event.tool.tool_name}")
print(f"TOOL CALL ARGS: {run_output_event.tool.tool_args}")
if run_output_event.event in [TeamRunEvent.tool_call_completed]:
print(f"\nTEAM EVENT: {run_output_event.event}")
print(f"TOOL CALL: {run_output_event.tool.tool_name}")
print(f"TOOL CALL RESULT: {run_output_event.tool.result}")
# Member events
if run_output_event.event in [RunEvent.tool_call_started]:
print(f"\nMEMBER EVENT: {run_output_event.event}")
print(f"AGENT ID: {run_output_event.agent_id}")
print(f"TOOL CALL: {run_output_event.tool.tool_name}")
print(f"TOOL CALL ARGS: {run_output_event.tool.tool_args}")
if run_output_event.event in [RunEvent.tool_call_completed]:
print(f"\nMEMBER EVENT: {run_output_event.event}")
print(f"AGENT ID: {run_output_event.agent_id}")
print(f"TOOL CALL: {run_output_event.tool.tool_name}")
print(f"TOOL CALL RESULT: {run_output_event.tool.result}")
if run_output_event.event in [TeamRunEvent.run_content]:
if not content_started:
print("CONTENT")
content_started = True
else:
print(run_output_event.content, end="")
if __name__ == "__main__":
asyncio.run(
run_team_with_events(
"Write me a full report on everything you can find about Agno, the company building AI agent infrastructure.",
)
)
3
Create a virtual environment
Open the
Terminal and create a python virtual environment.Copy
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python3 -m venv .venv
source .venv/bin/activate
4
Install libraries
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pip install -U agno anthropic openai ddgs
5
Export your API keys
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export OPENAI_API_KEY="your_openai_api_key_here"
export ANTHROPIC_API_KEY="your_anthropic_api_key_here"
6
Run Team
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python stream_events.py
7
Find All Cookbooks
Explore all the available cookbooks in the Agno repository. Click the link below to view the code on GitHub:Agno Cookbooks on GitHub