> ## 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 with Tool-Equipped Agents

> Demonstrates task mode where member agents have real tools.

Demonstrates task mode where member agents have real tools. The team leader creates tasks and delegates them to agents that use web search to gather information.

```python task_mode_with_tools.py theme={null}
"""
Task Mode with Tool-Equipped Agents

Demonstrates task mode where member agents have real tools. The team leader
creates tasks and delegates them to agents that use web search to gather
information.

Run: .venvs/demo/bin/python cookbook/03_teams/02_modes/tasks/06_task_mode_with_tools.py
"""

from agno.agent import Agent
from agno.models.openai import OpenAIResponses
from agno.team.mode import TeamMode
from agno.team.team import Team
from agno.tools.duckduckgo import DuckDuckGoTools

# ---------------------------------------------------------------------------
# Create Members
# ---------------------------------------------------------------------------

web_researcher = Agent(
    name="Web Researcher",
    role="Searches the web for current information",
    model=OpenAIResponses(id="gpt-5-mini"),
    tools=[DuckDuckGoTools()],
    instructions=[
        "You are a web researcher.",
        "Use DuckDuckGo to search for current, relevant information.",
        "Summarize findings clearly with key facts and sources.",
    ],
)

summarizer = Agent(
    name="Summarizer",
    role="Synthesizes information into clear summaries",
    model=OpenAIResponses(id="gpt-5-mini"),
    instructions=[
        "You are an expert summarizer.",
        "Take detailed information and distill it into a clear, structured summary.",
        "Highlight the most important points.",
    ],
)

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

research_team = Team(
    name="Research Team",
    mode=TeamMode.tasks,
    model=OpenAIResponses(id="gpt-5.2"),
    members=[web_researcher, summarizer],
    instructions=[
        "You are a research team leader.",
        "For research requests:",
        "1. Create search tasks for the Web Researcher to gather information.",
        "2. Once research is done, create a task for the Summarizer to compile findings.",
        "3. Set proper dependencies -- summarization depends on research being complete.",
    ],
    show_members_responses=True,
    markdown=True,
    max_iterations=10,
)

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

if __name__ == "__main__":
    research_team.print_response(
        "What are the latest developments in large language models in 2025? "
        "Find recent news and provide a structured summary."
    )
```

## 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 `task_mode_with_tools.py`, then run:

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

Full source: [cookbook/03\_teams/02\_modes/tasks/06\_task\_mode\_with\_tools.py](https://github.com/agno-agi/agno/blob/v2.7.4/cookbook/03_teams/02_modes/tasks/06_task_mode_with_tools.py)