Agent with Structured Outputs

Code

cookbook/11_models/meta/llama/structured_output.py

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
agent = Agent(
    model=Llama(id="Llama-4-Maverick-17B-128E-Instruct-FP8", temperature=0.1),
    output_schema=MovieScript,
)

agent.print_response("New York")

Usage

1. Set up your virtual environment

   Mac

   uv venv --python 3.12
   source .venv/bin/activate
   

   uv venv --python 3.12
   .venv\Scripts\activate
   
2. Set your LLAMA API key

   export LLAMA_API_KEY=YOUR_API_KEY
   
3. Install dependencies

   uv pip install llama-api-client agno
   
4. Run Agent

   python cookbook/11_models/meta/structured_output.py