> ## 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.

# Confirmation Required with Multiple Tools

> This example demonstrates human-in-the-loop functionality with multiple tools that require confirmation. It shows how to handle user confirmation during tool execution and gracefully cancel operations based on user choice.

<Steps>
  <Step title="Create a Python file">
    ```python confirmation_required_multiple_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.tools.wikipedia import WikipediaTools
    from agno.utils import pprint
    from rich.console import Console
    from rich.prompt import Prompt

    console = Console()


    @tool(requires_confirmation=True)
    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)


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

    run_response = agent.run(
        "Fetch 2 articles about the topic 'python'. You can choose which source to use, but only use one source."
    )
    while 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(
                        "This is not the right tool to use. Use the other tool!"
                    )
                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
    ```
  </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_multiple_tools.py
    ```
  </Step>
</Steps>