xAI Image Agent Bytes

Analyze downloaded image bytes with Grok 4.5.

The source-fidelity code uses the older grok-2-vision-latest model. Replace it with grok-4.5 before running the example.

image_agent_bytes.py

"""
Xai Image Agent Bytes
=====================

Cookbook example for `xai/image_agent_bytes.py`.
"""

from pathlib import Path

from agno.agent import Agent
from agno.media import Image
from agno.models.xai import xAI
from agno.tools.websearch import WebSearchTools
from agno.utils.media import download_image

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

agent = Agent(
    model=xAI(id="grok-2-vision-latest"),
    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),
    ],
    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 ddgs openai
   
3. Export your xAI API key

   Mac/Linux

   export XAI_API_KEY="your_xai_api_key_here"
   

   $Env:XAI_API_KEY="your_xai_api_key_here"
   
4. Update the model

   When saving the code, replace grok-2-vision-latest with grok-4.5.

5. Run the example

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

   python image_agent_bytes.py
   

Full source: cookbook/90_models/xai/image_agent_bytes.py