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

# Async Agent with Tools

> Run a vLLM agent with WebSearchTools asynchronously.

## Code

```python tool_use.py theme={null}
import asyncio

from agno.agent import Agent
from agno.models.vllm import VLLM
from agno.tools.websearch import WebSearchTools

agent = Agent(
    model=VLLM(
        id="NousResearch/Nous-Hermes-2-Mistral-7B-DPO", top_k=20, enable_thinking=False
    ),
    tools=[WebSearchTools()],
    markdown=True,
)
asyncio.run(agent.aprint_response("Whats happening in France?", stream=True))
```

## Usage

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

  <Step title="Install Libraries">
    ```bash theme={null}
    uv pip install -U agno ddgs openai vllm
    ```
  </Step>

  <Step title="Start vLLM server">
    ```bash theme={null}
    vllm serve NousResearch/Nous-Hermes-2-Mistral-7B-DPO \
        --enable-auto-tool-choice \
        --tool-call-parser hermes \
        --dtype float16 \
        --max-model-len 8192 \
        --gpu-memory-utilization 0.9
    ```
  </Step>

  <Step title="Set your API key">
    ```bash theme={null}
    export VLLM_API_KEY=xxx
    ```
  </Step>

  <Step title="Run Agent">
    Save the code above as `tool_use.py`, then run:

    ```bash theme={null}
    python tool_use.py
    ```
  </Step>
</Steps>