> ## Documentation Index
> Fetch the complete documentation index at: https://agno-v2-agui.mintlify.site/llms.txt
> Use this file to discover all available pages before exploring further.

# Structured Output

## Code

```python cookbook/11_models/vllm/structured_output.py theme={null}
from typing import List

from agno.agent import Agent
from agno.models.vllm import VLLM
from pydantic import BaseModel, Field

class MovieScript(BaseModel):
    name: str = Field(..., description="Give a name to this movie")
    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.",
    )
    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 = Agent(
    model=VLLM(id="Qwen/Qwen2.5-7B-Instruct", top_k=20, enable_thinking=False),
    description="You write movie scripts.",
    output_schema=MovieScript,
)

agent.print_response("Llamas ruling the world")
```

## Usage

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

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

  <Step title="Start vLLM server">
    ```bash theme={null}
    vllm serve Qwen/Qwen2.5-7B-Instruct \
        --enable-auto-tool-choice \
        --tool-call-parser hermes \
        --dtype float16 \
        --max-model-len 8192 \
        --gpu-memory-utilization 0.9
    ```
  </Step>

  <Step title="Run Agent">
    ```bash theme={null}
    python cookbook/11_models/vllm/structured_output.py
    ```
  </Step>
</Steps>