Documentation Index
Fetch the complete documentation index at: /llms.txt
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Run a Vercel v0-powered Agno agent and print its response.
from agno.agent import Agent, RunOutput # noqa
from agno.models.vercel import V0
agent = Agent(model=V0(id="v0-1.0-md"), markdown=True)
# Get the response in a variable
# run: RunOutput = agent.run("Share a 2 sentence horror story")
# print(run.content)
# Print the response in the terminal
agent.print_response("Share a 2 sentence horror story")
# agent.print_response("Create a simple web app that displays a random number between 1 and 100.")
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 agno
Run Agent
basic.py, then run:python basic.py
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