> ## 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.

# Structured Output

## Code

```python cookbook/90_models/neosantara/structured_output.py theme={null}
from typing import List

from agno.agent import Agent
from agno.models.neosantara import Neosantara
from pydantic import BaseModel, Field


class MovieScript(BaseModel):
    setting: str = Field(
        ..., description="Provide a nice setting for a blockbuster movie."
    )
    ending: str = Field(
        ...,
        description="Ending of the movie. If not available, provide a happy ending.",
    )
    genre: str = Field(
        ...,
        description="Genre of the movie. If not available, select action, thriller or romantic comedy.",
    )
    name: str = Field(..., description="Give a name to this movie")
    characters: List[str] = Field(..., description="Name of characters for this movie.")
    storyline: str = Field(
        ..., description="3 sentence storyline for the movie. Make it exciting!"
    )


# Agent that uses structured outputs
agent = Agent(
    model=Neosantara(id="grok-4.1-fast-non-reasoning"),
    description="You write movie scripts. Respond ONLY with a valid JSON object matching the provided schema.",
    output_schema=MovieScript,
    use_json_mode=True,
)

# Print the response in the terminal
agent.print_response("New York")
```

## Usage

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

  <Step title="Set your API key">
    ```bash theme={null}
    export NEOSANTARA_API_KEY=xxx
    ```
  </Step>

  <Step title="Install dependencies">
    ```bash theme={null}
    uv pip install -U openai agno
    ```
  </Step>

  <Step title="Run Agent">
    ```bash theme={null}
    python cookbook/90_models/neosantara/structured_output.py
    ```
  </Step>
</Steps>