Create a Python file
confirmation_required_with_history.py
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Ask AI
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()
@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],
add_history_to_context=True,
num_history_runs=2,
markdown=True,
db=SqliteDb(db_file="tmp/example.db"),
)
agent.run("What can you do?")
run_response = agent.run("Fetch the top 2 hackernews stories.")
if 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()
else:
requirement.confirm()
run_response = agent.continue_run(
run_id=run_response.run_id,
requirements=run_response.requirements,
)
pprint.pprint_run_response(run_response)