1
Create a Python file
Create a Python file and add the above code.
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touch confirmation_required_mixed_tools.py
2
Add the following code to your Python file
confirmation_required_mixed_tools.py
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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.Copy
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python3 -m venv .venv
source .venv/bin/activate
4
Install libraries
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pip install -U agno openai httpx rich
5
Export your OpenAI API key
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export OPENAI_API_KEY="your_openai_api_key_here"
6
Run Agent
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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