"""🤝 Human-in-the-Loop: Adding User Confirmation to Tool Calls
This example shows how to implement human-in-the-loop functionality in your Agno tools.
It shows how to:
- Handle user confirmation during tool execution
- Gracefully cancel operations based on user choice
Some practical applications:
- Confirming sensitive operations before execution
- Reviewing API calls before they're made
- Validating data transformations
- Approving automated actions in critical systems
Run `pip install openai httpx rich agno` to install dependencies.
"""
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()
@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=OpenAIChat(id="gpt-5-mini"),
tools=[get_top_hackernews_stories],
add_history_to_context=True,
num_history_runs=2,
markdown=True,
)
agent.run("What can you do?")
run_response = agent.run("Fetch the top 2 hackernews stories.")
if run_response.is_paused:
for tool in run_response.tools_requiring_confirmation: # type: ignore
# 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
run_response = agent.continue_run(run_response=run_response)
pprint.pprint_run_response(run_response)
Create a virtual environment
Terminal
and create a python virtual environment.python3 -m venv .venv
source .venv/bin/activate
Install libraries
pip install -U agno openai httpx rich
Run Agent
python cookbook/agents/human_in_the_loop/confirmation_required_with_history.py