# 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. import json import urllib.parse import json5 from qwen_agent.agents import Assistant from qwen_agent.tools.base import BaseTool class MyImageGen(BaseTool): name = 'my_image_gen' description = 'AI painting (image generation) service, input text description, and return the image URL drawn based on text information.' parameters = [{ 'name': 'prompt', 'type': 'string', 'description': 'Detailed description of the desired image content, in English', 'required': True }] def call(self, params: str, **kwargs) -> str: prompt = json5.loads(params)['prompt'] prompt = urllib.parse.quote(prompt) return json.dumps({'image_url': f'https://image.pollinations.ai/prompt/{prompt}'}, ensure_ascii=False) def init_agent_service(): llm_cfg = {'model': 'qwen-max'} system = ('According to the user\'s request, you must draw a picture with my_image_gen tool') tools = [MyImageGen(), 'code_interpreter'] # code_interpreter is a built-in tool in Qwen-Agent bot = Assistant(llm=llm_cfg, system_message=system, function_list=tools) return bot def test_custom_tool_object(): # Define the agent bot = init_agent_service() # Chat messages = [{'role': 'user', 'content': 'draw a dog'}] for response in bot.run(messages=messages): print('bot response:', response) assert len(response) == 3 assert response[1]['role'] == 'function' and response[1]['name'] == 'my_image_gen'