> ## 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.

# Structured Output

> Return typed Pydantic output from an Agno agent over AG-UI.

## Code

```python cookbook/05_agent_os/interfaces/agui/structured_output.py theme={null}
from typing import List

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 pydantic import BaseModel, Field


class MovieScript(BaseModel):
    setting: str = Field(..., description="Setting for the movie.")
    ending: str = Field(..., description="How the movie ends.")
    genre: str = Field(..., description="Genre, e.g. action or thriller.")
    name: str = Field(..., description="Name of the movie.")
    characters: List[str] = Field(..., description="Main characters.")
    storyline: str = Field(..., description="A 3-sentence storyline.")


chat_agent = Agent(
    name="Output Schema Agent",
    model=OpenAIResponses(id="gpt-5.4"),
    description="You write movie scripts.",
    markdown=True,
    output_schema=MovieScript,
)

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

if __name__ == "__main__":
    agent_os.serve(app="structured_output: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]'
    ```
  </Step>

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

## Key Features

* **Structured Output**: `output_schema=MovieScript` returns a typed Pydantic object instead of free text
* **Pydantic Schema**: Fields with descriptions guide what the agent fills in
* **Streamed to Frontend**: The structured result streams as content over AG-UI

## 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