Agent with Structured Outputs

Code

1from typing import List
2
3from kern.agent import Agent, RunOutput # noqa
4from kern.models.meta import Llama
5from pydantic import BaseModel, Field
6from rich.pretty import pprint # noqa
7
8class MovieScript(BaseModel):
9 setting: str = Field(
10 ..., description="Provide a nice setting for a blockbuster movie."
11 )
12 ending: str = Field(
13 ...,
14 description="Ending of the movie. If not available, provide a happy ending.",
15 )
16 genre: str = Field(
17 ...,
18 description="Genre of the movie. If not available, select action, thriller or romantic comedy.",
19 )
20 name: str = Field(..., description="Give a name to this movie")
21 characters: List[str] = Field(..., description="Name of characters for this movie.")
22 storyline: str = Field(
23 ..., description="3 sentence storyline for the movie. Make it exciting!"
24 )
25
26# Agent that uses a JSON schema output
27agent = Agent(
28 model=Llama(id="Llama-4-Maverick-17B-128E-Instruct-FP8", temperature=0.1),
29 output_schema=MovieScript,
30)
31
32agent.print_response("New York")

Usage

Set up your virtual environment

1uv venv --python 3.12
2source .venv/bin/activate
1uv venv --python 3.12
2.venv\Scripts\activate

Set your LLAMA API key

1export LLAMA_API_KEY=YOUR_API_KEY

Install dependencies

1uv pip install llama-api-client kern-ai

Run Agent

1python cookbook/11_models/meta/structured_output.py