wehub-resource-sync
124 lines
3.9 KiB
Python
124 lines
3.9 KiB
Python
# Copyright 2023 The Qwen team, Alibaba Group. All rights reserved.
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#
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# Licensed under the Apache License, Version 2.0 (the "License");
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# you may not use this file except in compliance with the License.
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# You may obtain a copy of the License at
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#
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# http://www.apache.org/licenses/LICENSE-2.0
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#
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# Unless required by applicable law or agreed to in writing, software
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# distributed under the License is distributed on an "AS IS" BASIS,
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# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
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# See the License for the specific language governing permissions and
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# limitations under the License.
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"""An agent implemented by assistant with qwen3-coder"""
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import os # noqa
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from qwen_agent.agents import Assistant
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from qwen_agent.gui import WebUI
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from qwen_agent.utils.output_beautify import typewriter_print
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def init_agent_service():
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llm_cfg = {
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# Use the model service provided by DashScope:
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'model': 'qwen3-coder-480b-a35b-instruct',
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'model_type': 'qwen_dashscope',
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'generate_cfg': {
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# Using the API's native tool call interface
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'use_raw_api': True,
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'max_input_tokens': 200000
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},
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}
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# llm_cfg = {
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# # Use the OpenAI-compatible model service provided by DashScope:
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# 'model': 'qwen3-coder-480b-a35b-instruct',
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# 'model_server': 'https://dashscope.aliyuncs.com/compatible-mode/v1',
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# 'api_key': os.getenv('DASHSCOPE_API_KEY'),
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# 'generate_cfg': {
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# # Using the API's native tool call interface
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# 'use_raw_api': True,
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# 'max_input_tokens': 200000
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# },
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# }
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tools = [
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{
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'mcpServers': { # You can specify the MCP configuration file
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'time': {
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'command': 'uvx',
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'args': ['mcp-server-time', '--local-timezone=Asia/Shanghai']
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},
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'fetch': {
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'command': 'uvx',
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'args': ['mcp-server-fetch']
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},
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'filesystem': {
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'command': 'npx',
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'args': [
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'-y',
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'@modelcontextprotocol/server-filesystem',
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'~/Desktop/'
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]
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},
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}
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},
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'image_gen'
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]
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bot = Assistant(
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llm=llm_cfg,
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function_list=tools,
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name='Qwen3-Coder Tool-calling Demo',
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description="I'm a demo using the Qwen3-Coder tool calling. Welcome to add and play with your own tools!")
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return bot
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def test(query: str = 'What time is it?'):
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# Define the agent
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bot = init_agent_service()
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# Chat
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messages = [{'role': 'user', 'content': query}]
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response_plain_text = ''
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for response in bot.run(messages=messages):
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response_plain_text = typewriter_print(response, response_plain_text)
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def app_tui():
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# Define the agent
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bot = init_agent_service()
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# Chat
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messages = []
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while True:
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query = input('user question: ')
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messages.append({'role': 'user', 'content': query})
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response = []
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response_plain_text = ''
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for response in bot.run(messages=messages):
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response_plain_text = typewriter_print(response, response_plain_text)
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messages.extend(response)
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def app_gui():
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# Define the agent
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bot = init_agent_service()
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chatbot_config = {
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'prompt.suggestions': [
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'What time is it?',
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'Please create a simple Angry Birds game, save it on the desktop as an HTML file, and open it to play directly.',
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'https://github.com/orgs/QwenLM/repositories Extract markdown content of this page, then draw a bar chart to display the number of stars.'
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]
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}
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WebUI(
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bot,
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chatbot_config=chatbot_config,
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).run()
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if __name__ == '__main__':
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# test()
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# app_tui()
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app_gui()
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