Agent with Structured Outputs

Code

cookbook/models/vertexai/claude/structured_output.py

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@20250514"),
    description="You help people write movie scripts.",
    output_schema=MovieScript,
)

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

Usage

1. Create a virtual environment

   Open the Terminal and create a python virtual environment.

   Mac

   python3 -m venv .venv
   source .venv/bin/activate
   
2. Set your environment variables

   Mac

   export CLOUD_ML_REGION=xxx
   export GOOGLE_CLOUD_PROJECT=xxx
   
3. Authenticate your CLI session

   gcloud auth application-default login

   You dont need to authenticate your CLI every time.
4. Install libraries

   pip install -U anthropic agno
5. Run Agent

   Mac

   python cookbook/models/vertexai/claude/structured_output.py