> ## Documentation Index
> Fetch the complete documentation index at: https://agno-v2.mintlify.site/llms.txt
> Use this file to discover all available pages before exploring further.

# Confirmation Required with Streaming

> Require user confirmation during tool execution while streaming the agent's response.

**1. Create a Python file**

```python confirmation_required_stream.py theme={null}
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"),
    db=SqliteDb(
        db_file="tmp/example.db",
    ),
    tools=[get_top_hackernews_stories],
    markdown=True,
)

for run_event in agent.run("Fetch the top 2 hackernews stories", stream=True):
    if run_event.is_paused:
        for requirement in run_event.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_event.run_id,
            requirements=run_event.requirements,  # type: ignore
            stream=True,
        )
        pprint.pprint_run_response(run_response)

# Or for simple debug flow
# agent.print_response("Fetch the top 2 hackernews stories", stream=True)

```

<Snippet file="create-venv-step.mdx" />

**2. Install dependencies**

```bash theme={null}
uv pip install -U agno openai httpx rich sqlalchemy
```

**3. Export your OpenAI API key**

```bash Mac/Linux theme={null}
  export OPENAI_API_KEY="your_openai_api_key_here"
```

```bash Windows theme={null}
  $Env:OPENAI_API_KEY="your_openai_api_key_here"
```

**4. Run Agent**

```bash theme={null}
python confirmation_required_stream.py
```


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