Nebius Structured Output

Token Factory lists Qwen/Qwen3-30B-A3B as retired on November 3, 2025. Select an enabled replacement using the steps below; see the model retirement notice.

structured_output.py

"""
Nebius Structured Output
========================

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

from typing import List

from agno.agent import Agent, RunOutput  # noqa
from agno.models.nebius import Nebius
from pydantic import BaseModel, Field
from rich.pretty import pprint  # noqa

# ---------------------------------------------------------------------------
# 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 a structured output
structured_output_agent = Agent(
    model=Nebius(id="Qwen/Qwen3-30B-A3B"),
    description="You are a helpful assistant. Summarize the movie script based on the location in a JSON object.",
    output_schema=MovieScript,
)

structured_output_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 Nebius API key

export NEBIUS_API_KEY="your_nebius_api_key_here"

Select an enabled Token Factory model

Copy a model ID available to your account for https://api.tokenfactory.nebius.com/v1 from the Token Factory console. For knowledge and tool examples it must support function calling; for structured output it must support JSON Schema. Confirm the endpoint and model's access before running.

export NEBIUS_MODEL_ID="your-enabled-model-id"

Replace the placeholder with your copied model ID. Add from os import environ to the saved file, then set every model construction to Nebius(id=environ["NEBIUS_MODEL_ID"]). Keep any additional model options. The adapter's default ID does not establish which models your account can access. A dedicated deployment must instead use the model and endpoint supplied for that deployment, with an explicit base_url.

Run the example

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

python structured_output.py

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