> ## 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.

# DashScope Tool Use

> Give a DashScope qwen-plus agent web search tools and stream sync and async responses.

```python tool_use.py theme={null}
"""
Dashscope Tool Use
==================

Cookbook example for `dashscope/tool_use.py`.
"""

import asyncio

from agno.agent import Agent
from agno.models.dashscope import DashScope
from agno.tools.websearch import WebSearchTools

# ---------------------------------------------------------------------------
# Create Agent
# ---------------------------------------------------------------------------

agent = Agent(
    model=DashScope(id="qwen-plus"),
    tools=[WebSearchTools()],
    markdown=True,
)

# ---------------------------------------------------------------------------
# Run Agent
# ---------------------------------------------------------------------------
if __name__ == "__main__":
    # --- Sync + Streaming ---
    agent.print_response("What's happening in AI today?", stream=True)

    # --- Async + Streaming ---
    async def main():
        await agent.aprint_response(
            "What's the latest news about artificial intelligence?", stream=True
        )

    asyncio.run(main())
```

## 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 DashScope API key**

```bash Mac/Linux theme={null}
export DASHSCOPE_API_KEY="your_dashscope_api_key_here"
```

```bash Windows theme={null}
$Env:DASHSCOPE_API_KEY="your_dashscope_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/dashscope/tool\_use.py](https://github.com/agno-agi/agno/blob/v3.0.4/cookbook/90_models/dashscope/tool_use.py)


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