Image Agent

Code

image_agent_bytes.py

from pathlib import Path

from agno.agent import Agent
from agno.media import Image
from agno.models.ibm import WatsonX

agent = Agent(
    model=WatsonX(id="meta-llama/llama-3-2-11b-vision-instruct"),
    markdown=True,
)

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

# 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

Set up your virtual environment

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

uv venv --python 3.12
.venv\Scripts\activate

Set your API key

export IBM_WATSONX_API_KEY=xxx
export IBM_WATSONX_PROJECT_ID=xxx

Install dependencies

uv pip install -U ibm-watsonx-ai agno

Add sample image

Place a sample image named “sample.jpg” in the same directory as the script.

Run Agent

Save the code above as image_agent_bytes.py, then run:

python image_agent_bytes.py

The example loads an image from a file and passes it to an IBM WatsonX vision model along with a prompt.

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Image Agent

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