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

# Delegate to All Members (Cooperation)

This example demonstrates a collaborative team of AI agents working together to research topics across different platforms.

The team consists of two specialized agents:

1. **Reddit Researcher** - Uses DuckDuckGo to find and analyze relevant Reddit posts
2. **HackerNews Researcher** - Uses HackerNews API to find and analyze relevant HackerNews posts

The agents work in "collaborate" mode by using `delegate_task_to_all_members=True`, meaning they:

* Both are given the same task at the same time
* Work towards reaching consensus through discussion
* Are coordinated by a team leader that guides the discussion

The team leader moderates the discussion and determines when consensus is reached.

```python delegate_to_all_members_cooperation.py theme={null}
import asyncio
from textwrap import dedent

from agno.agent import Agent
from agno.models.openai import OpenAIChat
from agno.team.team import Team
from agno.tools.duckduckgo import DuckDuckGoTools
from agno.tools.hackernews import HackerNewsTools

reddit_researcher = Agent(
    name="Reddit Researcher",
    role="Research a topic on Reddit",
    model=OpenAIChat(id="o3-mini"),
    tools=[DuckDuckGoTools()],
    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=OpenAIChat("o3-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.
    """),
)


agent_team = Team(
    name="Discussion Team",
    model=OpenAIChat("o3-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,
    delegate_task_to_all_members=True,
    show_members_responses=True,
)


async def main():
    await agent_team.aprint_response(
        input="Start the discussion on the topic: 'What is the best way to learn to code?'",
        stream=True,
        stream_intermediate_steps=True,
    )


if __name__ == "__main__":
    asyncio.run(main())
```

## Usage

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

  <Step title="Install required libraries">
    ```bash theme={null}
    pip install agno openai
    ```
  </Step>

  <Step title="Set environment variables">
    ```bash theme={null}
    export OPENAI_API_KEY=****
    ```
  </Step>

  <Step title="Run the agent">
    ```bash theme={null}
    python delegate_to_all_members_cooperation.py
    ```
  </Step>
</Steps>