image_agent_bytes.py
Run the Example
1
Set up your virtual environment
2
Install dependencies
3
Export your AI/ML API key
4
Run the example
Save the code above as
image_agent_bytes.py, then run:Documentation Index
Fetch the complete documentation index at: /llms.txt
Use this file to discover all available pages before exploring further.
Pass an image as raw bytes to a Llama vision model served through AIMLAPI.
"""
Aimlapi Image Agent Bytes
=========================
Cookbook example for `aimlapi/image_agent_bytes.py`.
"""
from pathlib import Path
from agno.agent import Agent
from agno.media import Image
from agno.models.aimlapi import AIMLAPI
# ---------------------------------------------------------------------------
# Create Agent
# ---------------------------------------------------------------------------
agent = Agent(
model=AIMLAPI(id="meta-llama/Llama-3.2-11B-Vision-Instruct-Turbo"),
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",
images=[
Image(content=image_bytes),
],
stream=True,
)
# ---------------------------------------------------------------------------
# Run Agent
# ---------------------------------------------------------------------------
if __name__ == "__main__":
pass
Set up your virtual environment
uv venv --python 3.12
source .venv/bin/activate
uv venv --python 3.12
.venv\Scripts\activate
Install dependencies
uv pip install -U agno openai
Export your AI/ML API key
export AIMLAPI_API_KEY="your_aimlapi_api_key_here"
$Env:AIMLAPI_API_KEY="your_aimlapi_api_key_here"
Run the example
image_agent_bytes.py, then run:python image_agent_bytes.py
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