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

# Agent with Silent Tools

> Suppress frontend tool-execution messages over the AG-UI protocol.

## Code

```python cookbook/05_agent_os/interfaces/agui/agent_with_silent_tools.py theme={null}
from agno.agent.agent import Agent
from agno.models.openai import OpenAIResponses
from agno.os import AgentOS
from agno.os.interfaces.agui import AGUI
from agno.tools import tool
from agno.tools.duckduckgo import DuckDuckGoTools


@tool(external_execution=True, external_execution_silent=True)
def generate_haiku(topic: str) -> str:
    """Generate a haiku about a given topic and display it in the frontend.

    Args:
        topic: The topic for the haiku (e.g., "nature", "technology", "love")

    Returns:
        Confirmation that the haiku was generated and displayed
    """
    return f"Haiku about '{topic}' generated and displayed in frontend"


agent = Agent(
    model=OpenAIResponses(id="gpt-5.4"),
    tools=[
        DuckDuckGoTools(),
        generate_haiku,
    ],
    description="You are a helpful AI assistant with backend and frontend tools. You can search the web and create haikus that render in the frontend.",
    instructions="""
    You are a versatile AI assistant with the following capabilities:

    **Tools (executed on server):**
    - Web search using DuckDuckGo for finding current information

    **Frontend Tools (executed on client):**
    - generate_haiku: Creates a haiku about a given topic

    Always be helpful, creative, and use the most appropriate tool for each request!
    """,
    add_datetime_to_context=True,
    add_history_to_context=True,
    add_location_to_context=True,
    timezone_identifier="Etc/UTC",
    markdown=True,
    debug_mode=True,
)

agent_os = AgentOS(
    agents=[agent],
    interfaces=[AGUI(agent=agent)],
)
app = agent_os.get_app()

if __name__ == "__main__":
    agent_os.serve(app="agent_with_silent_tools:app", port=9001, reload=True)
```

## Usage

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

  <Step title="Set Environment Variables">
    ```bash theme={null}
    export OPENAI_API_KEY=your_openai_api_key
    ```
  </Step>

  <Step title="Install Dependencies">
    ```bash theme={null}
    uv pip install 'agno[agui]' ddgs
    ```
  </Step>

  <Step title="Run Example">
    ```bash theme={null}
    python cookbook/05_agent_os/interfaces/agui/agent_with_silent_tools.py
    ```
  </Step>
</Steps>

## Key Features

* **Silent Frontend Tools**: `external_execution_silent=True` hides the "I have tools to execute" message
* **Backend Tools**: `DuckDuckGoTools` runs on the server
* **Frontend Tools**: `generate_haiku` runs in the browser via `external_execution=True`
* **Cleaner UX**: Frontend tool calls happen without verbose status chatter

## Setup Frontend

1. Clone the AG-UI repository: `git clone https://github.com/ag-ui-protocol/ag-ui.git`
2. Install the TypeScript SDK: `cd ag-ui/typescript-sdk && pnpm install`
3. Build the Agno integration: `cd integrations/agno && pnpm run build`
4. Start Dojo: `cd ../../apps/dojo && pnpm run dev`
5. Open `http://localhost:3000` and select the Agno integration