from agno.agent import Agent
from agno.db.sqlite import SqliteDb
from agno.models.openai import OpenAIResponses
from agno.team.team import Team
def get_weather(city: str) -> str:
return f"The weather in {city} is sunny."
weather_agent = Agent(
name="Weather Agent",
role="You are a weather agent that can answer questions about the weather.",
model=OpenAIResponses(id="gpt-5.2"),
tools=[get_weather],
)
def get_news(topic: str) -> str:
return f"The news about {topic} is that it is going well!"
news_agent = Agent(
name="News Agent",
role="You are a news agent that can answer questions about the news.",
model=OpenAIResponses(id="gpt-5.2"),
tools=[get_news],
)
def get_activities(city: str) -> str:
return f"The activities in {city} are that it is going well!"
activities_agent = Agent(
name="Activities Agent",
role="You are a activities agent that can answer questions about the activities.",
model=OpenAIResponses(id="gpt-5.2"),
tools=[get_activities],
)
geo_search_team = Team(
name="Geo Search Team",
model=OpenAIResponses(id="gpt-5.2"),
respond_directly=True,
members=[
weather_agent,
news_agent,
activities_agent,
],
instructions="You are a geo search agent that can answer questions about the weather, news and activities in a city.",
db=SqliteDb(
db_file="tmp/geo_search_team.db"
), # Add a database to store the conversation history
add_history_to_context=True, # Ensure that the team leader knows about previous requests
)
geo_search_team.print_response(
"I am doing research on Tokyo. What is the weather like there?", stream=True
)
geo_search_team.print_response(
"Is there any current news about that city?", stream=True
)
geo_search_team.print_response("What are the activities in that city?", stream=True)
