image_agent_bytes.py
Run the Example
1
Set up your virtual environment
2
Install dependencies
3
Export your OpenAI 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 and combine vision with web search for current news.
"""
Openai Image Agent Bytes
========================
Cookbook example for `openai/chat/image_agent_bytes.py`.
"""
from pathlib import Path
from agno.agent import Agent
from agno.media import Image
from agno.models.openai import OpenAIChat
from agno.tools.websearch import WebSearchTools
from agno.utils.media import download_image
# ---------------------------------------------------------------------------
# Create Agent
# ---------------------------------------------------------------------------
agent = Agent(
model=OpenAIChat(id="gpt-4o"),
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
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 ddgs openai
Export your OpenAI API key
export OPENAI_API_KEY="your_openai_api_key_here"
$Env:OPENAI_API_KEY="your_openai_api_key_here"
Run the example
image_agent_bytes.py, then run:python image_agent_bytes.py
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