Documentation Index
Fetch the complete documentation index at: /llms.txt
Use this file to discover all available pages before exploring further.
Analyze an image with a Vercel v0 agent and search the web for related news.
from agno.agent import Agent
from agno.media import Image
from agno.models.vercel import V0
from agno.tools.websearch import WebSearchTools
agent = Agent(
model=V0(id="v0-1.0-md"),
tools=[WebSearchTools()],
markdown=True,
)
agent.print_response(
"Tell me about this image and give me the latest news about it.",
images=[
Image(
url="https://upload.wikimedia.org/wikipedia/commons/0/0c/GoldenGateBridge-001.jpg"
)
],
stream=True,
)
https://api.v0.dev/v1/) that this integration targets, in favor of the Platform API. Requests made with V0 will fail until Agno updates this integration. See Vercel’s community announcement.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 V0_API_KEY=xxx
Install dependencies
uv pip install -U openai ddgs agno
Run Agent
image_agent.py, then run:python image_agent.py
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