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

# Example: Background Hooks with Workflows in AgentOS

> Use background hooks with a Workflow.

Use background hooks with a Workflow. Background hooks execute after the API response is sent, making them non-blocking.

```python background_hooks_workflow.py theme={null}
"""
Example: Background Hooks with Workflows in AgentOS

This example demonstrates how to use background hooks with a Workflow.
Background hooks execute after the API response is sent, making them non-blocking.
"""

import asyncio

from agno.agent import Agent
from agno.db.sqlite import AsyncSqliteDb
from agno.models.openai import OpenAIChat
from agno.os import AgentOS
from agno.run.agent import RunOutput
from agno.workflow import Workflow

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


async def log_step_completion(run_output: RunOutput, agent: Agent) -> None:
    """
    Background post-hook on the agent that runs after each step completes.
    """
    print(f"[Background Hook] Agent '{agent.name}' completed step")
    print(f"[Background Hook] Run ID: {run_output.run_id}")

    # Simulate async work
    await asyncio.sleep(1)
    print(f"[Background Hook] Logged metrics for {agent.name}")


# Create agents for the workflow steps
analyzer = Agent(
    name="Analyzer",
    model=OpenAIChat(id="gpt-5.2"),
    instructions="Analyze the input and identify key points.",
    post_hooks=[log_step_completion],
)

summarizer = Agent(
    name="Summarizer",
    model=OpenAIChat(id="gpt-5.2"),
    instructions="Summarize the analysis into a brief response.",
    post_hooks=[log_step_completion],
)

# Create the workflow
analysis_workflow = Workflow(
    id="analysis-workflow",
    name="AnalysisWorkflow",
    description="Analyzes input and provides a summary",
    steps=[analyzer, summarizer],
    db=AsyncSqliteDb(db_file="tmp/workflow.db"),
)

# Create AgentOS with background hooks enabled
agent_os = AgentOS(
    workflows=[analysis_workflow],
    run_hooks_in_background=True,
)

app = agent_os.get_app()

# Example request:
# curl -X POST http://localhost:7777/workflows/analysis-workflow/runs \
#   -F "message=Explain the benefits of exercise" \
#   -F "stream=false"

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

if __name__ == "__main__":
    agent_os.serve(app="background_hooks_workflow: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_workflow.py`, then run:

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

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