1
Create a Python file
Create a Python file and add the above code.
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touch confirmation_required_multiple_tools.py
2
Add the following code to your Python file
confirmation_required_multiple_tools.py
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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 agno.tools.wikipedia import WikipediaTools
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-4o-mini"),
tools=[
get_top_hackernews_stories,
WikipediaTools(requires_confirmation_tools=["search_wikipedia"]),
],
markdown=True,
db=SqliteDb(db_file="tmp/example.db"),
)
run_response = agent.run(
"Fetch 2 articles about the topic 'python'. You can choose which source to use, but only use one source."
)
while 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(
"This is not the right tool to use. Use the other tool!"
)
else:
requirement.confirm()
run_response = agent.continue_run(
run_id=run_response.run_id,
requirements=run_response.requirements,
)
pprint.pprint_run_response(run_response)
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_multiple_tools.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