> ## Documentation Index
> Fetch the complete documentation index at: https://agno-v2.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

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

**1. Install dependencies**

```bash theme={null}
uv pip install -U agno openai
```

**2. Export your OpenAI API key**

```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"
```

**3. Run the example**

Save the code above as `task_mode.py`, then run:

```bash theme={null}
python task_mode.py
```

Full source: [cookbook/03\_teams/01\_quickstart/task\_mode.py](https://github.com/agno-agi/agno/blob/v3.0.4/cookbook/03_teams/01_quickstart/task_mode.py)


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