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

# Confirmation Required with Mixed Tools

> Require confirmation for some tools only. The agent runs unconfirmed tools automatically and pauses for the ones that need approval.

<Steps>
  <Step title="Create a Python file">
    ```python confirmation_required_mixed_tools.py theme={null}
    import json

    import httpx
    from agno.agent import Agent
    from agno.db.sqlite import SqliteDb
    from agno.models.openai import OpenAIResponses
    from agno.tools import tool
    from agno.utils import pprint
    from rich.console import Console
    from rich.prompt import Prompt

    console = Console()


    def get_top_hackernews_stories(num_stories: int) -> str:
        """Fetch top stories from Hacker News.

        Args:
            num_stories (int): Number of stories to retrieve

        Returns:
            str: JSON string containing story details
        """
        # Fetch top story IDs
        response = httpx.get("https://hacker-news.firebaseio.com/v0/topstories.json")
        story_ids = response.json()

        # Yield story details
        all_stories = []
        for story_id in story_ids[:num_stories]:
            story_response = httpx.get(
                f"https://hacker-news.firebaseio.com/v0/item/{story_id}.json"
            )
            story = story_response.json()
            if "text" in story:
                story.pop("text", None)
            all_stories.append(story)
        return json.dumps(all_stories)


    @tool(requires_confirmation=True)
    def send_email(to: str, subject: str, body: str) -> str:
        """Send an email.

        Args:
            to (str): Email address to send to
            subject (str): Subject of the email
            body (str): Body of the email
        """
        return f"Email sent to {to} with subject {subject} and body {body}"


    agent = Agent(
        model=OpenAIResponses(id="gpt-5.2"),
        tools=[get_top_hackernews_stories, send_email],
        markdown=True,
        db=SqliteDb(db_file="tmp/confirmation_required_mixed_tools.db"),
    )

    run_response = agent.run(
        "Fetch the top 2 hackernews stories and email them to john@doe.com."
    )
    if run_response.is_paused:
        for requirement in run_response.active_requirements:
            if requirement.needs_confirmation:
                # Ask for confirmation
                console.print(
                    f"Tool name [bold blue]{requirement.tool_execution.tool_name}({requirement.tool_execution.tool_args})[/] requires confirmation."
                )
                message = (
                    Prompt.ask("Do you want to continue?", choices=["y", "n"], default="y")
                    .strip()
                    .lower()
                )

                if message == "n":
                    requirement.reject()
                else:
                    requirement.confirm()

        run_response = agent.continue_run(
            run_id=run_response.run_id,
            requirements=run_response.requirements,
        )
        pprint.pprint_run_response(run_response)
    ```
  </Step>

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

  <Step title="Install dependencies">
    ```bash theme={null}
    uv pip install -U agno openai httpx rich sqlalchemy
    ```
  </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 confirmation_required_mixed_tools.py
    ```
  </Step>
</Steps>