Overview
Qwen models accessed through Alibaba Cloud’s DashScope service, supporting Qwen-Max, Qwen-Plus, Qwen-Turbo and more.
Class Signature
from qwen_agent.llm import get_chat_model
llm = get_chat_model({
'model': 'qwen-max',
'model_type': 'qwen_dashscope',
'api_key': 'your-dashscope-api-key'
})
Configuration
Model name: ‘qwen-max’, ‘qwen-plus’, ‘qwen-turbo’, ‘qwen-vl-max’, etc.
DashScope API key (or set DASHSCOPE_API_KEY env var)
Generation parameters:
temperature (float): 0.0 - 2.0top_p (float): 0.0 - 1.0max_tokens (int): Maximum tokens to generateseed (int): Random seed
Usage Example
from qwen_agent.llm import get_chat_model
from qwen_agent.llm.schema import Message
# Initialize
llm = get_chat_model({
'model': 'qwen-max',
'model_type': 'qwen_dashscope',
'api_key': 'your-api-key',
'generate_cfg': {
'temperature': 0.7,
'top_p': 0.8
}
})
# Chat
messages = [Message(role='user', content='Hello!')]
for response in llm.chat(messages=messages):
print(response[-1].content)
Available Models
- qwen-max: Most capable model
- qwen-plus: Balanced performance
- qwen-turbo: Fast responses
- qwen-vl-max: Vision-language model
- qwen3-max: Latest Qwen 3 series
Function Calling
functions = [{
'name': 'get_weather',
'description': 'Get weather',
'parameters': {
'type': 'object',
'properties': {
'city': {'type': 'string'}
},
'required': ['city']
}
}]
for response in llm.chat(messages=messages, functions=functions):
if response[-1].function_call:
print(response[-1].function_call.name)
See Also
