AWS Image Agent Bytes

Send image bytes to Amazon Nova Pro on Bedrock and fetch related news with web search.

image_agent_bytes.py
"""
Aws Image Agent Bytes
=====================

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

from pathlib import Path

from agno.agent import Agent
from agno.media import Image
from agno.models.aws import AwsBedrock
from agno.tools.websearch import WebSearchTools
from agno.utils.media import download_image

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

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

image_path = Path(__file__).parent.joinpath("sample.jpg")

download_image(
    url="https://upload.wikimedia.org/wikipedia/commons/0/0c/GoldenGateBridge-001.jpg",
    output_path=str(image_path),
)

# Read the image file content as bytes
image_bytes = image_path.read_bytes()

agent.print_response(
    "Tell me about this image and give me the latest news about it.",
    images=[
        Image(content=image_bytes, format="jpeg"),
    ],
)

# ---------------------------------------------------------------------------
# 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 ddgs

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 image_agent_bytes.py, then run:

python image_agent_bytes.py

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