> ## Documentation Index
> Fetch the complete documentation index at: https://agno-v2-service-account.mintlify.site/llms.txt
> Use this file to discover all available pages before exploring further.

# Basic Coordinate Mode Example

> Coordinate mode: the team leader delegates to a researcher and writer, then synthesizes the answer.

```python basic.py theme={null}
"""
Basic Coordinate Mode Example

Demonstrates the default `mode=coordinate` where the team leader:
1. Analyzes the user's request
2. Selects the most appropriate member agent(s)
3. Crafts specific tasks for each selected member
4. Synthesizes member responses into a final answer

"""

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
# ---------------------------------------------------------------------------

researcher = Agent(
    name="Researcher",
    role="Research specialist who finds and summarizes information",
    model=OpenAIResponses(id="gpt-5.2"),
    instructions=[
        "You are a research specialist.",
        "Provide clear, factual summaries on any topic.",
        "Organize findings with structure and cite limitations.",
    ],
)

writer = Agent(
    name="Writer",
    role="Content writer who crafts polished, engaging text",
    model=OpenAIResponses(id="gpt-5.2"),
    instructions=[
        "You are a skilled content writer.",
        "Transform raw information into well-structured, readable text.",
        "Use headers, bullet points, and clear prose.",
    ],
)

# ---------------------------------------------------------------------------
# Create Team
# ---------------------------------------------------------------------------

team = Team(
    name="Research & Writing Team",
    mode=TeamMode.coordinate,
    model=OpenAIResponses(id="gpt-5.2"),
    members=[researcher, writer],
    instructions=[
        "You lead a research and writing team.",
        "For informational requests, ask the Researcher to gather facts first,",
        "then ask the Writer to polish the findings into a final piece.",
        "Synthesize everything into a cohesive response.",
    ],
    show_members_responses=True,
    markdown=True,
)

# ---------------------------------------------------------------------------
# Run Team
# ---------------------------------------------------------------------------

if __name__ == "__main__":
    team.print_response(
        "Write a brief overview of how large language models are trained, "
        "covering pre-training, fine-tuning, and RLHF.",
        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/coordinate/01\_basic.py](https://github.com/agno-agi/agno/blob/main/cookbook/03_teams/02_modes/coordinate/01_basic.py)