> ## Documentation Index
> Fetch the complete documentation index at: https://docs.agno.com/llms.txt
> Use this file to discover all available pages before exploring further.

# Stream Structured Output over AG-UI

> Give an AG-UI agent a Pydantic output schema so the streamed response follows one predictable movie-pitch structure.

```python structured_output.py theme={null}
"""
Stream Structured Output over AG-UI
===================================

Give an AG-UI agent a Pydantic output schema so the streamed response follows
one predictable movie-pitch structure.

Prerequisites: OPENAI_API_KEY
Run: .venvs/demo/bin/python cookbook/05_agent_os/16_agui/structured_output.py
Try: POST "Pitch a lunar mystery" to http://localhost:7777/structured-output/agui
"""

from agno.agent import Agent
from agno.db.sqlite import SqliteDb
from agno.models.openai import OpenAIResponses
from agno.os import AgentOS
from agno.os.interfaces.agui import AGUI
from pydantic import BaseModel, Field

# ---------------------------------------------------------------------------
# Create Structured Agent
# ---------------------------------------------------------------------------


class MoviePitch(BaseModel):
    title: str = Field(description="A short movie title.")
    genre: str = Field(description="The movie genre.")
    setting: str = Field(description="Where and when the story takes place.")
    characters: list[str] = Field(description="The main character names.")
    storyline: str = Field(description="A three-sentence storyline.")


db = SqliteDb(
    id="agui-structured-output-db",
    db_file="tmp/agui_structured_output.db",
)

script_writer = Agent(
    id="agui-script-writer",
    name="AG-UI Script Writer",
    model=OpenAIResponses(id="gpt-5.5"),
    db=db,
    output_schema=MoviePitch,
    instructions="Turn each request into an original, internally consistent movie pitch.",
)

agent_os = AgentOS(
    id="agui-structured-output-os",
    description="AG-UI streaming a Pydantic-validated response.",
    agents=[script_writer],
    interfaces=[AGUI(agent=script_writer, prefix="/structured-output")],
)
app = agent_os.get_app()

# ---------------------------------------------------------------------------
# Run Structured Output Server
# ---------------------------------------------------------------------------

if __name__ == "__main__":
    agent_os.serve(app=app)
```

## Run the Example

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

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

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

Full source: [cookbook/05\_agent\_os/16\_agui/structured\_output.py](https://github.com/agno-agi/agno/blob/v3.0.4/cookbook/05_agent_os/16_agui/structured_output.py)