> ## 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.

# Background Hooks Decorator

> Opt individual hooks into background execution with @hook(run_in_background=True), leaving other post-hooks in the normal flow.

Run post-hooks as FastAPI background tasks, making them completely non-blocking.

```python background_hooks_decorator.py theme={null}
"""
Example: Using Background Post-Hooks in AgentOS

This example demonstrates how to run post-hooks as FastAPI background tasks,
making them completely non-blocking.
"""

import asyncio

from agno.agent import Agent
from agno.db.sqlite import AsyncSqliteDb
from agno.hooks.decorator import hook
from agno.models.openai import OpenAIChat
from agno.os import AgentOS
from agno.run.agent import RunInput

# ---------------------------------------------------------------------------
# Create Example
# ---------------------------------------------------------------------------


@hook(run_in_background=True)
def log_request(run_input: RunInput, agent):
    """
    This pre-hook will run in the background before the agent processes the request.
    Note: Pre-hooks in background mode cannot modify run_input.
    """
    print(f"[Background Pre-Hook] Request received for agent: {agent.name}")
    print(f"[Background Pre-Hook] Input: {run_input.input_content}")


async def log_analytics(run_output, agent, session):
    """
    Post hook for logging analytics
    """
    print(f"[Post-Hook] Logging analytics for run: {run_output.run_id}")
    print(f"[Post-Hook] Agent: {agent.name}")
    print(f"[Post-Hook] Session: {session.session_id}")
    print("[Post-Hook] Analytics logged successfully!")


@hook(run_in_background=True)
async def send_notification(run_output, agent):
    """
    Post hook for sending notifications
    """
    print(f"[Post-Hook] Sending notification for agent: {agent.name}")
    await asyncio.sleep(3)
    print("[Post-Hook] Notification sent!")


# Create an agent with background post-hooks enabled
agent = Agent(
    id="background-task-agent",
    name="BackgroundTaskAgent",
    model=OpenAIChat(id="gpt-5.2"),
    instructions="You are a helpful assistant",
    db=AsyncSqliteDb(db_file="tmp/agent.db"),
    # Define hooks
    pre_hooks=[log_request],
    post_hooks=[log_analytics, send_notification],
    markdown=True,
)

# Create AgentOS
agent_os = AgentOS(
    agents=[agent],
)

# Get the FastAPI app
app = agent_os.get_app()


# When you make a request to POST /agents/{agent_id}/runs:
# 1. The agent will process the request
# 2. The response will be sent immediately to the user, with log_analytics executing with the normal execution flow
# 3. The pre-hooks (log_request) and post-hooks (send_notification) will run in the background without blocking the API response
# 4. The user doesn't have to wait for these tasks to complete

# Example request:
# curl -X POST http://localhost:8000/agents/background-task-agent/runs \
#   -F "message=Hello, how are you?" \
#   -F "stream=false"

# ---------------------------------------------------------------------------
# Run Example
# ---------------------------------------------------------------------------

if __name__ == "__main__":
    agent_os.serve(app="background_hooks_decorator:app", port=7777, reload=True)
```

## Run the Example

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

  <Step title="Install dependencies">
    ```bash theme={null}
    uv pip install -U "agno[os]" aiosqlite openai
    ```
  </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 `background_hooks_decorator.py`, then run:

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

Full source: [cookbook/05\_agent\_os/background\_tasks/background\_hooks\_decorator.py](https://github.com/agno-agi/agno/blob/main/cookbook/05_agent_os/background_tasks/background_hooks_decorator.py)