from pathlib import Path
from agno.agent import Agent
from agno.media import Image
from agno.models.xai import xAI
from agno.tools.duckduckgo import DuckDuckGoTools
from agno.utils.media import download_image
agent = Agent(
model=xAI(id="grok-2-vision-latest"),
tools=[DuckDuckGoTools()],
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,
)
Create a virtual environment
Open the Terminal
and create a python virtual environment.
python3 -m venv .venv
source .venv/bin/activate
Set your API key
export XAI_API_KEY=xxx
Install libraries
pip install -U openai duckduckgo-search agno
Run Agent
python cookbook/models/xai/image_agent_bytes.py
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from pathlib import Path
from agno.agent import Agent
from agno.media import Image
from agno.models.xai import xAI
from agno.tools.duckduckgo import DuckDuckGoTools
from agno.utils.media import download_image
agent = Agent(
model=xAI(id="grok-2-vision-latest"),
tools=[DuckDuckGoTools()],
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,
)
Create a virtual environment
Open the Terminal
and create a python virtual environment.
python3 -m venv .venv
source .venv/bin/activate
Set your API key
export XAI_API_KEY=xxx
Install libraries
pip install -U openai duckduckgo-search agno
Run Agent
python cookbook/models/xai/image_agent_bytes.py
Was this page helpful?