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

# Team with Chain of Thought

<Steps>
  <Step title="Add the following code to your Python file">
    ```python team_cot.py theme={null}
    import asyncio
    from textwrap import dedent

    from agno.agent import Agent
    from agno.models.openai import OpenAIResponses
    from agno.team.team import Team
    from agno.tools.hackernews import HackerNewsTools

    web_agent = Agent(
        name="Web Search Agent",
        role="Handle web search requests",
        model=OpenAIResponses(id="gpt-5.2"),
        tools=[HackerNewsTools()],
        instructions="Always include sources",
        add_datetime_to_context=True,
    )

    finance_agent = Agent(
        name="Finance Agent",
        role="Handle financial data requests",
        model=OpenAIResponses(id="gpt-5.2"),
        tools=[HackerNewsTools()],
        instructions=[
            "You are a financial data specialist. Provide concise and accurate data.",
            "Use tables to display stock prices, fundamentals (P/E, Market Cap), and recommendations.",
            "Clearly state the company name and ticker symbol.",
            "Briefly summarize recent company-specific news if available.",
            "Focus on delivering the requested financial data points clearly.",
        ],
        add_datetime_to_context=True,
    )

    team_leader = Team(
        name="Reasoning Finance Team Leader",
        members=[
            web_agent,
            finance_agent,
        ],
        instructions=[
            "Only output the final answer, no other text.",
            "Use tables to display data",
        ],
        markdown=True,
        reasoning=True,
        show_members_responses=True,
    )


    async def run_team(task: str):
        await team_leader.aprint_response(
            task,
            stream=True,
            show_full_reasoning=True,
        )


    if __name__ == "__main__":
        asyncio.run(
            run_team(
                dedent("""\
        Analyze the impact of recent US tariffs on market performance across these key sectors:
        - Steel & Aluminum: (X, NUE, AA)
        - Technology Hardware: (AAPL, DELL, HPQ)
        - Agricultural Products: (ADM, BG, INGR)
        - Automotive: (F, GM, TSLA)

        For each sector:
        1. Compare stock performance before and after tariff implementation
        2. Identify supply chain disruptions and cost impact percentages
        3. Analyze companies' strategic responses (reshoring, price adjustments, supplier diversification)
        4. Assess analyst outlook changes directly attributed to tariff policies
        """)
            )
        )
    ```
  </Step>

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

  <Step title="Install dependencies">
    ```bash theme={null}
    uv pip install -U openai agno ddgs
    ```
  </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 Agent">
    ```bash theme={null}
    python team_cot.py
    ```
  </Step>
</Steps>