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

# Stream Hook

> Demonstrates post-hook notifications after team response generation.

```python stream_hook.py theme={null}
"""
Stream Hook
=============================

Demonstrates post-hook notifications after team response generation.
"""

import asyncio

from agno.models.openai import OpenAIResponses
from agno.run import RunContext
from agno.run.team import TeamRunOutput
from agno.team import Team
from agno.tools.yfinance import YFinanceTools


# ---------------------------------------------------------------------------
# Setup
# ---------------------------------------------------------------------------
def send_email(email: str, content: str) -> None:
    """Send an email to the user. Mock implementation for example purposes."""
    print(f"Sending email to {email}: {content}")


def send_notification(run_output: TeamRunOutput, run_context: RunContext) -> None:
    """Post-hook: Send a notification to the user."""
    if run_context.metadata is None:
        return
    email = run_context.metadata.get("email")
    if email:
        send_email(email, run_output.content)


# ---------------------------------------------------------------------------
# Create Team
# ---------------------------------------------------------------------------
team = Team(
    name="Financial Report Team",
    model=OpenAIResponses(id="gpt-5.2"),
    members=[],
    post_hooks=[send_notification],
    tools=[YFinanceTools()],
    instructions=[
        "You are a helpful financial report team of agents.",
        "Generate a financial report for the given company.",
        "Keep it short and concise.",
    ],
)


# ---------------------------------------------------------------------------
# Run Team
# ---------------------------------------------------------------------------
async def main() -> None:
    await team.aprint_response(
        "Generate a financial report for Apple (AAPL).",
        user_id="user_123",
        metadata={"email": "test@example.com"},
        stream=True,
    )


if __name__ == "__main__":
    asyncio.run(main())
```

## Run the Example

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

  <Step title="Install dependencies">
    ```bash theme={null}
    uv pip install -U agno openai yfinance
    ```
  </Step>

  <Step title="Export your OpenAI API key">
    <CodeGroup>
      ```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"
      ```
    </CodeGroup>
  </Step>

  <Step title="Run the example">
    Save the code above as `stream_hook.py`, then run:

    ```bash theme={null}
    python stream_hook.py
    ```
  </Step>
</Steps>

Full source: [cookbook/03\_teams/13\_hooks/stream\_hook.py](https://github.com/agno-agi/agno/blob/main/cookbook/03_teams/13_hooks/stream_hook.py)