> ## Documentation Index
> Fetch the complete documentation index at: https://agno-v2-codex-docs-audit-20260719-0149.mintlify.site/llms.txt
> Use this file to discover all available pages before exploring further.

# Task Mode

> Demonstrates autonomous task decomposition and execution using TeamMode.tasks.

```python task_mode.py theme={null}
"""
Task Mode
=============================

Demonstrates autonomous task decomposition and execution using TeamMode.tasks.
"""

from agno.agent import Agent
from agno.models.openai import OpenAIResponses
from agno.team import Team, TeamMode

# ---------------------------------------------------------------------------
# Create Members
# ---------------------------------------------------------------------------
researcher = Agent(
    name="Researcher",
    model=OpenAIResponses(id="gpt-5.2"),
    role="Research requirements and gather references",
)

architect = Agent(
    name="Architect",
    model=OpenAIResponses(id="gpt-5.2"),
    role="Design execution plans and task dependencies",
)

writer = Agent(
    name="Writer",
    model=OpenAIResponses(id="gpt-5.2"),
    role="Write concise delivery summaries",
)

# ---------------------------------------------------------------------------
# Create Team
# ---------------------------------------------------------------------------
tasks_team = Team(
    name="Task Execution Team",
    members=[researcher, architect, writer],
    model=OpenAIResponses(id="gpt-5.2"),
    mode=TeamMode.tasks,
    instructions=[
        "Break goals into clear tasks with dependencies before starting.",
        "Assign each task to the most appropriate member.",
        "Track task completion and surface blockers explicitly.",
        "Provide a final consolidated summary with completed tasks.",
    ],
    markdown=True,
    show_members_responses=True,
)

# ---------------------------------------------------------------------------
# Run Team
# ---------------------------------------------------------------------------
if __name__ == "__main__":
    tasks_team.print_response(
        "Plan a launch checklist for a new AI feature, including engineering, QA, and rollout tasks.",
        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 `task_mode.py`, then run:

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

Full source: [cookbook/03\_teams/01\_quickstart/task\_mode.py](https://github.com/agno-agi/agno/blob/v2.7.4/cookbook/03_teams/01_quickstart/task_mode.py)