mirror of
https://github.com/agentscope-ai/ReMe.git
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79 lines
2.5 KiB
Python
79 lines
2.5 KiB
Python
from typing import Optional, Union, Literal, Dict, List, Any, Tuple
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from autogen import Agent, ConversableAgent, UserProxyAgent
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from memoryscope import MemoryScope, Arguments
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class MemoryScopeAgent(ConversableAgent):
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def __init__(
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self,
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name: str = "assistant",
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system_message: Optional[str] = "",
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human_input_mode: Literal["ALWAYS", "NEVER", "TERMINATE"] = "NEVER",
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llm_config: Optional[Union[Dict, bool]] = None,
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arguments: Arguments = None,
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**kwargs,
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):
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super().__init__(
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name=name,
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system_message=system_message,
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human_input_mode=human_input_mode,
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llm_config=llm_config,
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**kwargs,
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)
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# Create a memory client in MemoryScope
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self.memory_scope = MemoryScope(arguments=arguments)
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self.memory_chat = self.memory_scope.default_memory_chat
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self.register_reply([Agent, None], MemoryScopeAgent.generate_reply_with_memory, remove_other_reply_funcs=True)
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def generate_reply_with_memory(
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self,
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messages: Optional[List[Dict]] = None,
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sender: Optional[Agent] = None,
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config: Optional[Any] = None,
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) -> Tuple[bool, Union[str, Dict, None]]:
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# Generate response
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contents = []
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for message in messages:
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if message.get("role") != self.name:
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contents.append(message.get("content", ""))
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query = contents[-1]
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response = self.memory_chat.chat_with_memory(query=query)
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return True, response.message.content
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def close(self):
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self.memory_scope.close()
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def main():
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# Create the agent of MemoryScope
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arguments = Arguments(
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language="cn",
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human_name="用户",
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assistant_name="AI",
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memory_chat_class="api_memory_chat",
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generation_backend="dashscope_generation",
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generation_model="qwen-max",
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embedding_backend="dashscope_embedding",
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embedding_model="text-embedding-v2",
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rank_backend="dashscope_rank",
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rank_model="gte-rerank"
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)
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assistant = MemoryScopeAgent("assistant", arguments=arguments)
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# Create the agent that represents the user in the conversation.
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user_proxy = UserProxyAgent("user", code_execution_config=False)
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# Let the assistant start the conversation. It will end when the user types exit.
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assistant.initiate_chat(user_proxy, message="有什么需要帮忙的吗？")
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assistant.close()
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if __name__ == "__main__":
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main()
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