IBM Image Agent Bytes

Pass an image as raw bytes to Llama 3.2 Vision on watsonx for analysis.

image_agent_bytes.py

"""
Ibm Image Agent Bytes
=====================

Cookbook example for `ibm/watsonx/image_agent_bytes.py`.
"""

from pathlib import Path

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

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

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,
)

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

if __name__ == "__main__":
    pass

Run the Example

1. Set up your virtual environment

   Mac

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

   uv venv --python 3.12
   .venv\Scripts\activate
   
2. Install dependencies

   uv pip install -U agno ibm-watsonx-ai
   
3. Export your IBM watsonx API key

   Mac/Linux

   export IBM_WATSONX_API_KEY="your_ibm_watsonx_api_key_here"
   

   $Env:IBM_WATSONX_API_KEY="your_ibm_watsonx_api_key_here"
   
4. Run the example

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

   python image_agent_bytes.py
   

Full source: cookbook/90_models/ibm/watsonx/image_agent_bytes.py