Documentation Index
Fetch the complete documentation index at: https://docs-v1.agno.com/llms.txt
Use this file to discover all available pages before exploring further.
Code
cookbook/agent_concepts/user_control_flows/confirmation_required_async.py
import asyncio
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)
async 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-4o-mini"),
tools=[get_top_hackernews_stories],
markdown=True,
)
run_response = asyncio.run(agent.arun("Fetch the top 2 hackernews stories"))
if run_response.is_paused:
for tool in run_response.tools_requiring_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:
tool.confirmed = True
run_response = asyncio.run(agent.acontinue_run(run_response=run_response))
pprint.pprint_run_response(run_response)
Usage
Create a virtual environment
Open the Terminal and create a python virtual environment.python3 -m venv .venv
source .venv/bin/activate
Set your API key
export OPENAI_API_KEY=xxx
Install libraries
pip install -U agno httpx rich openai
Run Example
python cookbook/agent_concepts/user_control_flows/confirmation_required_async.py
Key Features
- Uses
agent.arun() for asynchronous agent execution
- Implements
agent.acontinue_run() for async continuation
- Maintains the same confirmation flow as synchronous version
- Demonstrates how to handle async execution with user input
Use Cases
- Non-blocking user confirmation flows
- High-performance applications requiring async execution
- Web applications with user interaction
- Long-running operations with user input