> ## Documentation Index
> Fetch the complete documentation index at: https://phidatainc.mintlify.site/llms.txt
> Use this file to discover all available pages before exploring further.

# 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.

```python basic.py theme={null}
"""
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,
    )
```

## Run the Example

<Steps>
  <Snippet file="create-venv-step.mdx" />

  <Step title="Install dependencies">
    ```bash theme={null}
    uv pip install -U agno openai
    ```
  </Step>

  <Step title="Export your OpenAI API key">
    <CodeGroup>
      ```bash Mac/Linux theme={null}
      export OPENAI_API_KEY="your_openai_api_key_here"
      ```

      ```bash Windows theme={null}
      $Env:OPENAI_API_KEY="your_openai_api_key_here"
      ```
    </CodeGroup>
  </Step>

  <Step title="Run the example">
    Save the code above as `basic.py`, then run:

    ```bash theme={null}
    python basic.py
    ```
  </Step>
</Steps>

Full source: [cookbook/03\_teams/02\_modes/broadcast/01\_basic.py](https://github.com/agno-agi/agno/blob/main/cookbook/03_teams/02_modes/broadcast/01_basic.py)