> ## 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.

# Agent with Async Tool Usage

> Run a WatsonX agent with WebSearchTools asynchronously and stream the response.

## Code

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

from agno.agent import Agent
from agno.models.ibm import WatsonX
from agno.tools.websearch import WebSearchTools

agent = Agent(
    model=WatsonX(id="mistralai/mistral-small-3-1-24b-instruct-2503"),
    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="Set your API key">
    ```bash theme={null}
    export IBM_WATSONX_API_KEY=xxx
    export IBM_WATSONX_PROJECT_ID=xxx
    ```
  </Step>

  <Step title="Install dependencies">
    ```bash theme={null}
    uv pip install -U ibm-watsonx-ai ddgs agno
    ```
  </Step>

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

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

The agent runs asynchronously, searches the web with `WebSearchTools`, and streams the response as it's generated.