"""
Basic Broadcast Mode Example
Demonstrates `mode=broadcast` where the team leader sends the same task
to all member agents simultaneously, then synthesizes their responses
into a unified answer.
This is ideal for getting multiple perspectives on a single question.
"""
from agno.agent import Agent
from agno.models.openai import OpenAIResponses
from agno.team.mode import TeamMode
from agno.team.team import Team
# ---------------------------------------------------------------------------
# Create Members
# ---------------------------------------------------------------------------
optimist = Agent(
name="Optimist",
role="Focuses on opportunities and positive outcomes",
model=OpenAIResponses(id="gpt-5.2"),
instructions=[
"You see the bright side of every situation.",
"Focus on opportunities, growth potential, and positive trends.",
"Be genuine -- not blindly positive -- but emphasize upsides.",
],
)
pessimist = Agent(
name="Pessimist",
role="Focuses on risks and potential downsides",
model=OpenAIResponses(id="gpt-5.2"),
instructions=[
"You focus on risks, challenges, and potential pitfalls.",
"Identify what could go wrong and why caution is warranted.",
"Be constructive -- raise real concerns, not unfounded fears.",
],
)
realist = Agent(
name="Realist",
role="Provides balanced, pragmatic analysis",
model=OpenAIResponses(id="gpt-5.2"),
instructions=[
"You provide balanced, evidence-based analysis.",
"Weigh both opportunities and risks objectively.",
"Focus on what is most likely to happen based on current data.",
],
)
# ---------------------------------------------------------------------------
# Create Team
# ---------------------------------------------------------------------------
team = Team(
name="Multi-Perspective Team",
mode=TeamMode.broadcast,
model=OpenAIResponses(id="gpt-5.2"),
members=[optimist, pessimist, realist],
instructions=[
"You lead a multi-perspective analysis team.",
"All members receive the same question and respond independently.",
"Synthesize their viewpoints into a balanced summary that captures",
"the key opportunities, risks, and most likely outcomes.",
],
show_members_responses=True,
markdown=True,
)
# ---------------------------------------------------------------------------
# Run Team
# ---------------------------------------------------------------------------
if __name__ == "__main__":
team.print_response(
"Should a startup pivot from B2C to B2B in a crowded market?",
stream=True,
)
