Agent with Structured Outputs

Return a validated Pydantic object from a Vertex AI Claude agent.

Set output_schema to supply schema instructions and parse the response into a Pydantic object. This adapter does not request provider-enforced JSON Schema; check the result type before using it.

Code

from typing import List

from agno.agent import Agent, RunOutput  # noqa
from agno.models.vertexai.claude import Claude
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!"
    )

movie_agent = Agent(
    model=Claude(id="claude-sonnet-4-6"),
    description="You help people write movie scripts.",
    output_schema=MovieScript,
)

# Get the response in a variable
run: RunOutput = movie_agent.run("New York")
if not isinstance(run.content, MovieScript):
    raise ValueError("The model did not return a valid MovieScript")
pprint(run.content)

Usage

Complete the Vertex project, model enablement, permissions, and CLI prerequisites first. Use a region that serves Sonnet 4.6.

Set up your virtual environment

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

Set your environment variables

export CLOUD_ML_REGION="us-east5"
export GOOGLE_CLOUD_PROJECT=xxx

Authenticate your CLI session

gcloud auth application-default login
You don't need to authenticate your CLI every time.

Install dependencies

uv pip install -U 'anthropic[vertex]' agno

Run Agent

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

python structured_output.py