tool_use.py
Run the Example
1
Set up your virtual environment
2
Install dependencies
3
Export your DashScope 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.
Give a DashScope qwen-plus agent web search tools and stream sync and async responses.
"""
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())
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 DashScope API key
export DASHSCOPE_API_KEY="your_dashscope_api_key_here"
$Env:DASHSCOPE_API_KEY="your_dashscope_api_key_here"
Run the example
tool_use.py, then run:python tool_use.py
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