Agent with Structured Outputs

Return a validated Pydantic object from a DeepInfra agent.

Code

Agno requests JSON, includes the schema in instructions, and parses the result locally. This adapter does not request provider-enforced JSON Schema in this path; check that returned content is a MovieScript before using it.

from typing import List

from agno.agent import Agent, RunOutput  # noqa
from agno.models.deepinfra import DeepInfra  # noqa
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 JSON mode
agent = Agent(
    model=DeepInfra(id="microsoft/phi-4"),
    description="You write movie scripts.",
    output_schema=MovieScript,
)

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

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 DEEPINFRA_API_KEY=xxx

Install dependencies

uv pip install -U openai agno

Run Agent

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

python json_output.py