Ollama Image Agent

Describe a local image file with Llama 3.2 Vision running on Ollama.

image_agent.py

"""
Ollama Image Agent
==================

Cookbook example for `ollama/chat/image_agent.py`.
"""

from pathlib import Path

from agno.agent import Agent
from agno.media import Image
from agno.models.ollama import Ollama

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

agent = Agent(
    model=Ollama(id="llama3.2-vision"),
    markdown=True,
)

image_path = Path(__file__).parent.joinpath("super-agents.png")
agent.print_response(
    "Write a 3 sentence fiction story about the image",
    images=[Image(filepath=image_path)],
)

# ---------------------------------------------------------------------------
# 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 ollama
   
3. Prepare Ollama

   Install and start Ollama, then pull the model used by this example:

   ollama pull llama3.2-vision
   
4. Add the sample image

   Place an image named super-agents.png in the same directory as the script, or update image_path to point to your own image.

5. Run the example

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

   python image_agent.py
   

Full source: cookbook/90_models/ollama/chat/image_agent.py