tool_use.py
Run the Example
1
Set up your virtual environment
2
Install dependencies
3
Export your Vercel v0 API key
4
Run the example
Save the code above as
tool_use.py, then run:Documentation Index
Fetch the complete documentation index at: /llms.txt
Use this file to discover all available pages before exploring further.
Stream a web-search agent on Vercel’s v0 model, sync and async.
"""Build a Web Search Agent using xAI."""
import asyncio
from agno.agent import Agent
from agno.models.vercel import V0
from agno.tools.websearch import WebSearchTools
# ---------------------------------------------------------------------------
# Create Agent
# ---------------------------------------------------------------------------
agent = Agent(
model=V0(id="v0-1.0-md"),
tools=[WebSearchTools()],
markdown=True,
)
# ---------------------------------------------------------------------------
# Run Agent
# ---------------------------------------------------------------------------
if __name__ == "__main__":
# --- Sync + Streaming ---
agent.print_response("Whats happening in France?", stream=True)
# --- Async + Streaming ---
asyncio.run(agent.aprint_response("Whats happening in France?", stream=True))
Set up your virtual environment
uv venv --python 3.12
source .venv/bin/activate
uv venv --python 3.12
.venv\Scripts\activate
Install dependencies
uv pip install -U agno ddgs openai
Export your Vercel v0 API key
export V0_API_KEY="your_v0_api_key_here"
$Env:V0_API_KEY="your_v0_api_key_here"
Run the example
tool_use.py, then run:python tool_use.py
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