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1

Create a Python file

Create a Python file and add the above code.
touch confirmation_required_mixed_tools.py
2

Add the following code to your Python file

confirmation_required_mixed_tools.py
import json
import httpx
from agno.agent import Agent
from agno.models.openai import OpenAIChat
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=OpenAIChat(id="gpt-5-mini"),
    tools=[get_top_hackernews_stories, send_email],
    markdown=True,
)

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

            if message == "n":
                tool.confirmed = False
            else:
                # We update the tools in place
                tool.confirmed = True
        else:
            console.print(
                f"Tool name [bold blue]{tool.tool_name}({tool.tool_args})[/] was completed in [bold green]{tool.metrics.duration:.2f}[/] seconds."  # type: ignore
            )

    run_response = agent.continue_run(run_response=run_response)
    pprint.pprint_run_response(run_response)

# Or for simple debug flow
# agent.print_response("Fetch the top 2 hackernews stories")
3

Create a virtual environment

Open the Terminal and create a python virtual environment.
python3 -m venv .venv
source .venv/bin/activate
4

Install libraries

pip install -U agno openai httpx rich
5

Export your OpenAI API key

  export OPENAI_API_KEY="your_openai_api_key_here"
6

Run Agent

python confirmation_required_mixed_tools.py
7

Find All Cookbooks

Explore all the available cookbooks in the Agno repository. Click the link below to view the code on GitHub:Agno Cookbooks on GitHub