AWS PDF Agent Bytes

Pass a PDF as bytes to Amazon Nova Pro on Bedrock and extract a recipe from it.

pdf_agent_bytes.py
"""
Aws Pdf Agent Bytes
===================

Cookbook example for `aws/bedrock/pdf_agent_bytes.py`.
"""

from pathlib import Path

from agno.agent import Agent
from agno.media import File
from agno.models.aws import AwsBedrock
from agno.utils.media import download_file

# ---------------------------------------------------------------------------
# Create Agent
# ---------------------------------------------------------------------------

pdf_path = Path(__file__).parent.joinpath("ThaiRecipes.pdf")

download_file(
    "https://agno-public.s3.amazonaws.com/recipes/ThaiRecipes.pdf", str(pdf_path)
)

agent = Agent(
    model=AwsBedrock(id="amazon.nova-pro-v1:0"),
    markdown=True,
)

pdf_bytes = pdf_path.read_bytes()

agent.print_response(
    "Give the recipe of Gaeng Kiew Wan Goong",
    files=[File(content=pdf_bytes, format="pdf", name="Thai Recipes")],
)

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

if __name__ == "__main__":
    pass

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 pdf_agent_bytes.py, then run:

python pdf_agent_bytes.py

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