Skip to main content

Documentation Index

Fetch the complete documentation index at: https://agno-v2-shaloo-ai-support-link.mintlify.app/llms.txt

Use this file to discover all available pages before exploring further.

​
Code

cookbook/11_models/anthropic/image_input_bytes.py
from pathlib import Path

from agno.agent import Agent
from agno.media import Image
from agno.models.anthropic.claude import Claude
from agno.tools.hackernews import HackerNewsTools
from agno.utils.media import download_image

agent = Agent(
    model=Claude(id="claude-sonnet-4-20250514"),
    tools=[HackerNewsTools()],
    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),
    ],
    stream=True,
)

​
Usage

1

Set up your virtual environment

uv venv --python 3.12
source .venv/bin/activate
2

Set your API key

export ANTHROPIC_API_KEY=xxx
3

Install dependencies

uv pip install -U anthropic agno
4

Run Agent

python cookbook/11_models/anthropic/image_input_bytes.py