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

# 具备推理工具的团队

这是一个带有推理工具的多智能体团队推理示例。

<Tip>
  在团队领导者上启用推理选项，通过在需要时选择性地调用更深层次的推理，来优化代理分配和增强多智能体协作。
</Tip>

## 代码

```python cookbook/reasoning/teams/reasoning_finance_team.py theme={null}
from textwrap import dedent

from agno.agent import Agent
from agno.models.anthropic import Claude
from agno.models.openai import OpenAIChat
from agno.team.team import Team
from agno.tools.duckduckgo import DuckDuckGoTools
from agno.tools.reasoning import ReasoningTools
from agno.tools.yfinance import YFinanceTools

web_agent = Agent(
    name="Web Search Agent",
    role="Handle web search requests",
    model=OpenAIChat(id="gpt-4o-mini"),
    tools=[DuckDuckGoTools()],
    instructions="Always include sources",
    add_datetime_to_instructions=True,
)

finance_agent = Agent(
    name="Finance Agent",
    role="Handle financial data requests",
    model=OpenAIChat(id="gpt-4o-mini"),
    tools=[
        YFinanceTools(stock_price=True, analyst_recommendations=True, company_info=True)
    ],
    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_instructions=True,
)

team_leader = Team(
    name="Reasoning Finance Team Leader",
    mode="coordinate",
    model=Claude(id="claude-3-7-sonnet-latest"),
    members=[
        web_agent,
        finance_agent,
    ],
    tools=[ReasoningTools(add_instructions=True)],
    instructions=[
        "Only output the final answer, no other text.",
        "Use tables to display data",
    ],
    markdown=True,
    show_members_responses=True,
    enable_agentic_context=True,
    add_datetime_to_instructions=True,
    success_criteria="The team has successfully completed the task.",
)


def run_team(task: str):
    team_leader.print_response(
        task,
        stream=True,
        stream_intermediate_steps=True,
        show_full_reasoning=True,
    )


if __name__ == "__main__":
    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
    """)
    )

   
```

## 用法

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

  <Step title="设置你的 API 密钥">
    ```bash theme={null}
    export OPENAI_API_KEY=xxx
    export ANTHROPIC_API_KEY=xxx
    ```
  </Step>

  <Step title="安装库">
    ```bash theme={null}
    pip install -U openai anthropic agno
    ```
  </Step>

  <Step title="运行示例">
    <CodeGroup>
      ```bash Mac theme={null}
      python cookbook/reasoning/teams/reasoning_finance_team.py
      ```

      ```bash Windows theme={null}
      python cookbook/reasoning/teams/reasoning_finance_team.py
      ```
    </CodeGroup>
  </Step>
</Steps>