> ## Documentation Index
> Fetch the complete documentation index at: https://agno-v2.mintlify.site/llms.txt
> Use this file to discover all available pages before exploring further.

# Vercel v0 Tool Use

> Stream a web-search agent on Vercel's v0 model, sync and async.

```python tool_use.py theme={null}
"""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))
```

## Run the Example

<Snippet file="create-venv-step.mdx" />

**1. Install dependencies**

```bash theme={null}
uv pip install -U agno ddgs openai
```

**2. Export your Vercel v0 API key**

```bash Mac/Linux theme={null}
export V0_API_KEY="your_v0_api_key_here"
```

```bash Windows theme={null}
$Env:V0_API_KEY="your_v0_api_key_here"
```

**3. Run the example**

Save the code above as `tool_use.py`, then run:

```bash theme={null}
python tool_use.py
```

Full source: [cookbook/90\_models/vercel/tool\_use.py](https://github.com/agno-agi/agno/blob/v3.0.4/cookbook/90_models/vercel/tool_use.py)


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