Neosantara Structured Output

Request JSON and validate a MovieScript with Pydantic through Neosantara.

This example requests JSON Object mode with response_format={"type": "json_object"} and validates the response locally; that request does not enforce the Pydantic schema on the server.

structured_output.py
"""
Neosantara Structured Output
============================

Cookbook example for `neosantara/structured_output.py`.
"""

from typing import List

from agno.agent import Agent
from agno.models.neosantara import Neosantara
from pydantic import BaseModel, Field

# ---------------------------------------------------------------------------
# Create Agent
# ---------------------------------------------------------------------------


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 structured outputs
agent = Agent(
    model=Neosantara(id="grok-4.1-fast-non-reasoning"),
    description="You write movie scripts. Respond ONLY with a valid JSON object matching the provided schema.",
    output_schema=MovieScript,
    use_json_mode=True,
)

# Print the response in the terminal
agent.print_response("New York")

# ---------------------------------------------------------------------------
# Run Agent
# ---------------------------------------------------------------------------

if __name__ == "__main__":
    pass

output_schema describes the expected type. If parsing or validation fails, result.content can remain a string. Before accessing schema fields in a run result, use isinstance(result.content, YourSchema), replacing YourSchema with the class you passed as output_schema.

Run the Example

Set up your virtual environment

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

Install dependencies

uv pip install -U agno openai

Export your Neosantara API key

export NEOSANTARA_API_KEY="your_neosantara_api_key_here"

Run the example

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

python structured_output.py

Full source: cookbook/90_models/neosantara/structured_output.py