Bedrock Structured Output

Return a typed MovieScript from a Bedrock model with a Pydantic output schema.

AWS lists June 19, 2026 as the end-of-life date for the source's Claude 3.5 Haiku model. Before running, replace its ID with the active us.anthropic.claude-sonnet-4-6 inference profile in a supported source region. See the Haiku model card and Sonnet 4.6 profile and region details. These are Bedrock-specific lifecycle dates.

structured_output.py
"""
Aws Structured Output
=====================

Cookbook example for `aws/bedrock/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

# ---------------------------------------------------------------------------
# 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!"
    )


movie_agent = Agent(
    model=AwsBedrock(id="us.anthropic.claude-3-5-haiku-20241022-v1:0"),
    description="You help people write movie scripts.",
    output_schema=MovieScript,
)

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

movie_agent.print_response("New York")

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

if __name__ == "__main__":
    pass

This adapter uses schema instructions and local parsing for this output_schema example. It does not request provider-enforced JSON Schema.

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 aioboto3 boto3

Configure AWS access

Select a source region that supports the model or inference profile in the example. A geographic profile such as us. routes across the source and destination regions listed for that profile; a global. profile can route globally. Verify the model's regional availability and your IAM permission to invoke it. For Anthropic models, complete the account's first-use model access requirements.

export AWS_REGION="us-east-1"
export AWS_ACCESS_KEY_ID="your_aws_access_key_id"
export AWS_SECRET_ACCESS_KEY="your_aws_secret_access_key"
# Required when using temporary credentials:
# export AWS_SESSION_TOKEN="your_aws_session_token"

Use credentials and any session token from the same session. Change AWS_REGION if you choose another supported source region. These examples use AWS credentials; agno.models.aws.Claude does not accept an Anthropic API key or a Bedrock API key in place of them.

Run the example

Save the code above as structured_output.py. Replace us.anthropic.claude-3-5-haiku-20241022-v1:0 with us.anthropic.claude-sonnet-4-6, then run:

python structured_output.py

Full source: cookbook/90_models/aws/bedrock/structured_output.py