Agent with Structured Outputs

from typing import List

from agno.agent import Agent, RunOutput  # noqa
from agno.models.meta import Llama
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 JSON schema output
json_schema_output_agent = Agent(
    model=Llama(id="Llama-4-Maverick-17B-128E-Instruct-FP8", temperature=0.1),
    output_schema=MovieScript,
)

json_schema_output_agent.print_response("New York")