1
Create a Python file
Create a Python file and add the above code.
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touch confirmation_required_stream_async.py
2
Add the following code to your Python file
confirmation_required_stream_async.py
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import asyncio
import json
import httpx
from agno.agent import Agent
from agno.db.sqlite import SqliteDb
from agno.models.openai import OpenAIChat
from agno.tools import tool
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],
db=SqliteDb(session_table="test_session", db_file="tmp/example.db"),
markdown=True,
)
async def main():
async for run_event in agent.arun(
"Fetch the top 2 hackernews stories", stream=True
):
if run_event.is_paused:
for tool in run_event.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
async for resp in agent.acontinue_run( # type: ignore
run_id=run_event.run_id, updated_tools=run_event.tools, stream=True
):
print(resp.content, end="")
# Or for simple debug flow
# await agent.aprint_response("Fetch the top 2 hackernews stories", stream=True)
if __name__ == "__main__":
asyncio.run(main())
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_stream_async.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