Structured Output

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

Code

cookbook/05_agent_os/interfaces/agui/structured_output.py

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

1. Set up your virtual environment

   Mac

   uv venv --python 3.12
   source .venv/bin/activate
   
2. Set Environment Variables

   export OPENAI_API_KEY=your_openai_api_key
   
3. Install Dependencies

   uv pip install 'agno[agui]'
   
4. Run Example

   python cookbook/05_agent_os/interfaces/agui/structured_output.py
   

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