> ## 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.

# Agent with Structured Outputs

> Return a validated Pydantic MovieScript from a Nebius agent using output_schema.

## Code

```python structured_output.py theme={null}
import os
from typing import List

from agno.agent import Agent, RunOutput  # noqa
from agno.models.nebius import Nebius
from pydantic import BaseModel, Field
from rich.pretty import pprint  # noqa

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 a structured output
structured_output_agent = Agent(
    model=Nebius(id=os.environ["NEBIUS_MODEL_ID"]),
    description="You are a helpful assistant. Summarize the movie script based on the location in a JSON object.",
    output_schema=MovieScript,
)

structured_output_agent.print_response("New York")
```

Select a text-generation model with [JSON mode support](https://docs.tokenfactory.nebius.com/ai-models-inference/json) for this example.

## Usage

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

  <Step title="Export environment variables">
    Select an available text-generation model ID from the [Nebius model-list API](https://docs.tokenfactory.nebius.com/api-reference/examples/list-of-models).

    <CodeGroup>
      ```bash macOS / Linux theme={null}
      export NEBIUS_API_KEY="your_nebius_api_key"
      export NEBIUS_MODEL_ID="your_current_text_model_id"
      ```

      ```powershell Windows theme={null}
      $Env:NEBIUS_API_KEY="your_nebius_api_key"
      $Env:NEBIUS_MODEL_ID="your_current_text_model_id"
      ```
    </CodeGroup>
  </Step>

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

  <Step title="Run Agent">
    Save the code above as `structured_output.py`, then run:

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