Confirmation Required
Gate a custom HackerNews tool behind requires_confirmation and resume the paused run with agent.continue_run().
Human-in-the-Loop (HITL): Adding User Confirmation to Tool Calls.
"""
Confirmation Required
=============================
Human-in-the-Loop (HITL): Adding User Confirmation to Tool Calls.
"""
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()
# This tool will require user confirmation before execution
@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)
# ---------------------------------------------------------------------------
# Create Agent
# ---------------------------------------------------------------------------
agent = Agent(
model=OpenAIResponses(id="gpt-5-mini"),
tools=[get_top_hackernews_stories],
markdown=True,
db=SqliteDb(session_table="test_session", db_file="tmp/example.db"),
)
# ---------------------------------------------------------------------------
# Run Agent
# ---------------------------------------------------------------------------
if __name__ == "__main__":
run_response = agent.run("Fetch the top 2 hackernews stories.")
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()
)
# Confirm or reject the requirement
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)Continue only a paused run
After handling the requirements, replace the final continue_run() and printing block with the following. If the model answers without requesting a tool, print that completed response; continuing it would fork another run.
if run_response.is_paused:
run_response = agent.continue_run(
run_id=run_response.run_id,
requirements=run_response.requirements,
)
pprint.pprint_run_response(run_response)A continuation can pause again. Applications should inspect each returned status and resolve any new requirements before continuing.
Run the Example
Set up your virtual environment
uv venv --python 3.12
source .venv/bin/activateInstall dependencies
uv pip install -U agno openai sqlalchemyExport your OpenAI API key
export OPENAI_API_KEY="your_openai_api_key_here"Run the example
Save the code above as confirmation_required.py, then run:
python confirmation_required.pyFull source: cookbook/02_agents/10_human_in_the_loop/confirmation_required.py