Agent with Structured Outputs

Return a validated Pydantic object from a Groq agent using JSON mode.

Set output_schema and use_json_mode=True to get a validated MovieScript object back instead of free-form text.

Code

from typing import List

from agno.agent import Agent, RunOutput  # noqa
from agno.models.groq import Groq
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!"
    )

json_mode_agent = Agent(
    model=Groq(id="openai/gpt-oss-120b"),
    description="You help people write movie scripts.",
    output_schema=MovieScript,
    use_json_mode=True,
)

# Get the response in a variable
run: RunOutput = json_mode_agent.run("New York")
pprint(run.content)

# json_mode_agent.print_response("New York")

Usage

Set up your virtual environment

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

Set your API key

export GROQ_API_KEY=xxx

Install dependencies

uv pip install -U groq agno

Run Agent

Save the code above as structured_output.py, then run:

python structured_output.py

Developer Resources