Documentation Index
Fetch the complete documentation index at: https://docs-v1.agno.com/llms.txt
Use this file to discover all available pages before exploring further.
Code
cookbook/models/lmstudio/structured_output.py
import asyncio
from typing import List
from agno.agent import Agent
from agno.models.lmstudio import LMStudio
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 that returns a structured output
structured_output_agent = Agent(
model=LMStudio(id="qwen2.5-7b-instruct-1m"),
description="You write movie scripts.",
response_model=MovieScript,
)
# Run the agent synchronously
structured_output_agent.print_response("
Usage
Create a virtual environment
Open the Terminal and create a python virtual environment.python3 -m venv .venv
source .venv/bin/activate
Install LM Studio
Install LM Studio from here and download the
model you want to use. Run Agent
python cookbook/models/lmstudio/structured_output.py