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

# Team with Knowledge Tools

This is a team reasoning example with knowledge tools.

<Tip>
  Enabling the knowledge option on the team leader helps optimize delegation and enhances multi-agent collaboration by selectively invoking deeper knowledge when required.
</Tip>

<Steps>
  <Step title="Add the following code to your Python file">
    ```python knowledge_tool_team.py theme={null}
    from agno.agent import Agent
    from agno.knowledge.knowledge import Knowledge
    from agno.models.openai import OpenAIResponses
    from agno.team.team import Team
    from agno.tools.hackernews import HackerNewsTools
    from agno.tools.knowledge import KnowledgeTools
    from agno.vectordb.lancedb import LanceDb, SearchType

    agno_docs = Knowledge(
        # Use LanceDB as the vector database and store embeddings in the `agno_docs` table
        vector_db=LanceDb(
            uri="tmp/lancedb",
            table_name="agno_docs",
            search_type=SearchType.hybrid,
        ),
    )
    # Add content to the knowledge
    agno_docs.insert(url="https://www.paulgraham.com/read.html")

    knowledge_tools = KnowledgeTools(
        knowledge=agno_docs,
        think=True,
        search=True,
        analyze=True,
        add_few_shot=True,
    )

    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()],
        add_datetime_to_context=True,
    )

    team_leader = Team(
        name="Reasoning Finance Team",
        model=OpenAIResponses(id="gpt-5.2"),
        members=[
            web_agent,
            finance_agent,
        ],
        tools=[knowledge_tools],
        instructions=[
            "Only output the final answer, no other text.",
            "Use tables to display data",
        ],
        markdown=True,
        show_members_responses=True,
        add_datetime_to_context=True,
    )


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


    if __name__ == "__main__":
        run_team("What does Paul Graham talk about the need to read in this essay?")
    ```
  </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 knowledge_tool_team.py
    ```
  </Step>
</Steps>