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