Documentation Index
Fetch the complete documentation index at: /llms.txt
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Send an image to a Groq vision model and stream the description.
Image to print_response() and use a vision-capable model such as qwen/qwen3.6-27b.
from agno.agent import Agent
from agno.media import Image
from agno.models.groq import Groq
agent = Agent(model=Groq(id="qwen/qwen3.6-27b"))
agent.print_response(
"Tell me about this image",
images=[
Image(url="https://upload.wikimedia.org/wikipedia/commons/f/f2/LPU-v1-die.jpg"),
],
stream=True,
)
Set up your virtual environment
uv venv --python 3.12
source .venv/bin/activate
uv venv --python 3.12
.venv\Scripts\activate
Set your API key
export GROQ_API_KEY=xxx
Install dependencies
uv pip install -U groq agno
Run Agent
image_agent.py, then run:python image_agent.py
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