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This example demonstrates how to run all hooks as FastAPI background tasks by enabling run_hooks_in_background at the AgentOS level.
1

Create a Python file

touch background_hooks_global.py
2

Add the following code to your Python file

background_hooks_global.py
import asyncio

from agno.agent import Agent
from agno.db.sqlite import SqliteDb
from agno.models.openai import OpenAIChat
from agno.os import AgentOS
from agno.run.agent import RunInput


# Pre-hook for logging requests
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}")


# Post-hook for logging analytics
async def log_analytics(run_output, agent, session):
    """
    This post-hook will run in the background after the response is sent.
    It won't block the API response.
    """
    print(f"[Background Post-Hook] Logging analytics for run: {run_output.run_id}")
    print(f"[Background Post-Hook] Agent: {agent.name}")
    print(f"[Background Post-Hook] Session: {session.session_id}")

    # Simulate a slow operation
    await asyncio.sleep(2)
    print("[Background Post-Hook] Analytics logged successfully!")


# Another post-hook for sending notifications
async def send_notification(run_output, agent):
    """
    Another background task that sends notifications without blocking the response.
    """
    print(f"[Background Post-Hook] Sending notification for agent: {agent.name}")
    # Simulate a slow operation
    await asyncio.sleep(3)
    print("[Background Post-Hook] Notification sent!")


# Create an agent with hooks
agent = Agent(
    id="background-task-agent",
    name="BackgroundTaskAgent",
    model=OpenAIChat(id="gpt-4o-mini"),
    instructions="You are a helpful assistant",
    db=SqliteDb(db_file="tmp/agent.db"),
    pre_hooks=[log_request],
    post_hooks=[log_analytics, send_notification],
    markdown=True,
)

# Create AgentOS with background hooks enabled
agent_os = AgentOS(
    agents=[agent],
    run_hooks_in_background=True,  # All hooks run in background
)

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

if __name__ == "__main__":
    agent_os.serve(app="background_hooks_global:app", port=7777, reload=True)
3

Create a virtual environment

Open the Terminal and create a python virtual environment.
python3 -m venv .venv
source .venv/bin/activate
4

Install libraries

pip install -U agno openai uvicorn
5

Export your OpenAI API key

export OPENAI_API_KEY="your_openai_api_key_here"
6

Run the server

python background_hooks_global.py
7

Test the endpoint

curl -X POST http://localhost:7777/agents/background-task-agent/runs \
  -F "message=Hello, how are you?" \
  -F "stream=false"
The response will be returned immediately. Check the server logs to see the background hooks executing after the response is sent.

​
What Happens

  1. The agent processes the request
  2. The response is sent immediately to the user
  3. All pre-hooks and post-hooks run in the background
  4. The user doesn’t have to wait for these tasks to complete
With run_hooks_in_background=True on AgentOS, all hooks for all agents run in the background. Use the @hook decorator for more granular control over which hooks run in the background.