# Copyright 2023 The Qwen team, Alibaba Group. All rights reserved. # # Licensed under the Apache License, Version 2.0 (the "License"); # you may not use this file except in compliance with the License. # You may obtain a copy of the License at # # http://www.apache.org/licenses/LICENSE-2.0 # # Unless required by applicable law or agreed to in writing, software # distributed under the License is distributed on an "AS IS" BASIS, # WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. # See the License for the specific language governing permissions and # limitations under the License. """An agent implemented by assistant with qwen3.5""" import os # noqa from qwen_agent.agents import Assistant from qwen_agent.gui import WebUI from qwen_agent.utils.output_beautify import typewriter_print def init_agent_service(): llm_cfg = { # Use the OpenAI-compatible model service provided by DashScope: 'model': 'qwen3.5-plus', 'model_type': 'qwenvl_oai', 'model_server': 'https://dashscope.aliyuncs.com/compatible-mode/v1', 'api_key': os.getenv('DASHSCOPE_API_KEY'), 'generate_cfg': { 'use_raw_api': True, # When using Dash Scope OAI API, pass the parameter of whether to enable thinking mode in this way 'extra_body': { 'enable_thinking': True }, }, } # llm_cfg = { # # Use your own model service compatible with OpenAI API by vLLM/SGLang: # 'model': 'Qwen/Qwen3.5-397B-A17B', # 'model_type': 'qwenvl_oai', # 'model_server': 'http://localhost:8000/v1', # api_base # 'api_key': 'EMPTY', # # 'generate_cfg': { # 'use_raw_api': True, # # When using vLLM/SGLang OAI API, pass the parameter of whether to enable thinking mode in this way # 'extra_body': { # 'chat_template_kwargs': {'enable_thinking': True} # }, # }, # } tools = [{ 'mcpServers': { # You can specify the MCP configuration file 'time': { 'command': 'uvx', 'args': ['mcp-server-time', '--local-timezone=Asia/Shanghai'] }, 'fetch': { 'command': 'uvx', 'args': ['mcp-server-fetch'] }, 'filesystem': { 'command': 'npx', 'args': ['-y', '@modelcontextprotocol/server-filesystem', '/path/to/allowed/files'] } } }] bot = Assistant( llm=llm_cfg, function_list=tools, name='Qwen3.5 Tool-calling Demo', description="I'm a demo using the Qwen3.5 tool calling. Welcome to add and play with your own tools!") return bot def test(query: str = 'What time is it?'): # Define the agent bot = init_agent_service() # Chat messages = [{'role': 'user', 'content': query}] response_plain_text = '' for response in bot.run(messages=messages): response_plain_text = typewriter_print(response, response_plain_text) def app_tui(): # Define the agent bot = init_agent_service() # Chat messages = [] while True: query = input('user question: ') messages.append({'role': 'user', 'content': query}) response = [] response_plain_text = '' for response in bot.run(messages=messages): response_plain_text = typewriter_print(response, response_plain_text) messages.extend(response) def app_gui(): # Define the agent bot = init_agent_service() chatbot_config = { 'prompt.suggestions': [ 'Help me organize my desktop.', 'Develop a dog website and save it on the desktop', ] } WebUI( bot, chatbot_config=chatbot_config, ).run() if __name__ == '__main__': # test() # app_tui() app_gui()