​
Code

cookbook/models/vllm/structured_output.py
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="NousResearch/Nous-Hermes-2-Mistral-7B-DPO", top_k=20, enable_thinking=False
    ),
    description="You write movie scripts.",
    response_model=MovieScript,
)

agent.print_response("Llamas ruling the world")

​
Usage

1

Create a virtual environment

Open the Terminal and create a python virtual environment.
python3 -m venv .venv
source .venv/bin/activate
2

Install Libraries

pip install -U agno pydantic vllm openai
3

Start vLLM server

vllm serve NousResearch/Nous-Hermes-2-Mistral-7B-DPO \
    --enable-auto-tool-choice \
    --tool-call-parser hermes \
    --dtype float16 \
    --max-model-len 8192 \
    --gpu-memory-utilization 0.9
4

Run Agent

python cookbook/models/vllm/structured_output.py