image_agent_bytes.py
"""
Dashscope Image Agent Bytes
===========================
Cookbook example for `dashscope/image_agent_bytes.py`.
"""
from pathlib import Path
from agno.agent import Agent
from agno.media import Image
from agno.models.dashscope import DashScope
from agno.tools.websearch import WebSearchTools
from agno.utils.media import download_image
# ---------------------------------------------------------------------------
# Create Agent
# ---------------------------------------------------------------------------
agent = Agent(
model=DashScope(id="qwen-vl-plus"),
tools=[WebSearchTools()],
markdown=True,
)
image_path = Path(__file__).parent.joinpath("sample.jpg")
download_image(
url="https://upload.wikimedia.org/wikipedia/commons/a/a7/Camponotus_flavomarginatus_ant.jpg",
output_path=str(image_path),
)
# Read the image file content as bytes
image_bytes = image_path.read_bytes()
agent.print_response(
"Analyze this image of an ant. Describe its features, species characteristics, and search for more information about this type of ant.",
images=[
Image(content=image_bytes),
],
stream=True,
)
# ---------------------------------------------------------------------------
# Run Agent
# ---------------------------------------------------------------------------
if __name__ == "__main__":
pass
Run the Example
1
Set up your virtual environment
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 DashScope API key
export DASHSCOPE_API_KEY="your_dashscope_api_key_here"
$Env:DASHSCOPE_API_KEY="your_dashscope_api_key_here"
4
Run the example
Save the code above as
image_agent_bytes.py, then run:python image_agent_bytes.py