> ## 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.

# Delegate To All Members

> Broadcast the same research task to every member with TeamMode.broadcast, fanning it out to Reddit and HackerNews researchers.

Demonstrates collaborative team execution with delegate-to-all behavior.

```python delegate_to_all_members.py theme={null}
"""
Delegate To All Members
=============================

Demonstrates collaborative team execution with delegate-to-all behavior.
"""

import asyncio
from textwrap import dedent

from agno.agent import Agent
from agno.models.openai import OpenAIResponses
from agno.team import Team, TeamMode
from agno.tools.hackernews import HackerNewsTools
from agno.tools.websearch import WebSearchTools

# ---------------------------------------------------------------------------
# Create Members
# ---------------------------------------------------------------------------
reddit_researcher = Agent(
    name="Reddit Researcher",
    role="Research a topic on Reddit",
    model=OpenAIResponses(id="gpt-5-mini"),
    tools=[WebSearchTools()],
    add_name_to_context=True,
    instructions=dedent("""
    You are a Reddit researcher.
    You will be given a topic to research on Reddit.
    You will need to find the most relevant posts on Reddit.
    """),
)

hackernews_researcher = Agent(
    name="HackerNews Researcher",
    model=OpenAIResponses(id="gpt-5-mini"),
    role="Research a topic on HackerNews.",
    tools=[HackerNewsTools()],
    add_name_to_context=True,
    instructions=dedent("""
    You are a HackerNews researcher.
    You will be given a topic to research on HackerNews.
    You will need to find the most relevant posts on HackerNews.
    """),
)

# ---------------------------------------------------------------------------
# Create Team
# ---------------------------------------------------------------------------
agent_team = Team(
    name="Discussion Team",
    model=OpenAIResponses(id="gpt-5-mini"),
    members=[
        reddit_researcher,
        hackernews_researcher,
    ],
    instructions=[
        "You are a discussion master.",
        "You have to stop the discussion when you think the team has reached a consensus.",
    ],
    markdown=True,
    mode=TeamMode.broadcast,
    show_members_responses=True,
)


async def run_async_collaboration() -> None:
    await agent_team.aprint_response(
        input="Start the discussion on the topic: 'What is the best way to learn to code?'",
        stream=True,
    )


# ---------------------------------------------------------------------------
# Run Team
# ---------------------------------------------------------------------------
if __name__ == "__main__":
    # --- Sync ---
    agent_team.print_response(
        input="Start the discussion on the topic: 'What is the best way to learn to code?'",
        stream=True,
    )

    # --- Async ---
    asyncio.run(run_async_collaboration())
```

## Run the Example

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

  <Step title="Install dependencies">
    ```bash theme={null}
    uv pip install -U agno ddgs 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 `delegate_to_all_members.py`, then run:

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

Full source: [cookbook/03\_teams/01\_quickstart/03\_delegate\_to\_all\_members.py](https://github.com/agno-agi/agno/blob/main/cookbook/03_teams/01_quickstart/03_delegate_to_all_members.py)