Agent with Structured Outputs

Return a validated Pydantic MovieScript from an AWS Bedrock agent.

This example uses the Haiku 4.5 US inference profile. Configure a supported US source region, such as us-east-1.

Code

structured_output.py
from typing import List

from agno.agent import Agent, RunOutput  # noqa
from agno.models.aws import AwsBedrock
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=AwsBedrock(id="us.anthropic.claude-haiku-4-5-20251001-v1:0"),
    description="You help people write movie scripts.",
    output_schema=MovieScript,
)

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

movie_agent.print_response("New York")

Usage

Set up your virtual environment

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

Set your AWS Credentials

export AWS_ACCESS_KEY_ID=***
export AWS_SECRET_ACCESS_KEY=***
export AWS_REGION=***

Install dependencies

uv pip install -U boto3 agno

Run Agent

python structured_output.py