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https://github.com/xinnan-tech/xiaozhi-esp32-server.git
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63f34e5a82
* 增加本地记忆功能，使用llm总结记忆 * update：增加统一非流式输出输出 * 增加意图识别内容，使用llm进行识别 * 初始化记忆模块 * 完善意图识别处理后的流程 * 通过使用function call实现意图识别 * update:优化意图识别的配置 * update:function call最优设置成doubao-pro-32k-functioncall-241028 --------- Co-authored-by: 玄凤科技 <eric230308@gmail.com> Co-authored-by: hrz <1710360675@qq.com>
54 lines
1.6 KiB
Python
54 lines
1.6 KiB
Python
import uuid
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from typing import List, Dict
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from datetime import datetime
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class Message:
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def __init__(self, role: str, content: str = None, uniq_id: str = None):
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self.uniq_id = uniq_id if uniq_id is not None else str(uuid.uuid4())
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self.role = role
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self.content = content
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class Dialogue:
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def __init__(self):
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self.dialogue: List[Message] = []
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# 获取当前时间
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self.current_time = datetime.now().strftime('%Y-%m-%d %H:%M:%S')
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def put(self, message: Message):
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self.dialogue.append(message)
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def get_llm_dialogue(self) -> List[Dict[str, str]]:
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dialogue = []
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for m in self.dialogue:
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dialogue.append({"role": m.role, "content": m.content})
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return dialogue
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def get_llm_dialogue_with_memory(self, memory_str: str = None) -> List[Dict[str, str]]:
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if memory_str is None or len(memory_str) == 0:
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return self.get_llm_dialogue()
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# 构建带记忆的对话
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dialogue = []
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# 添加系统提示和记忆
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system_message = next(
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(msg for msg in self.dialogue if msg.role == "system"), None
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)
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if system_message:
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enhanced_system_prompt = (
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f"{system_message.content}\n\n"
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f"相关记忆：\n{memory_str}"
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)
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dialogue.append({"role": "system", "content": enhanced_system_prompt})
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# 添加用户和助手的对话
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for msg in self.dialogue:
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if msg.role != "system": # 跳过原始的系统消息
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dialogue.append({"role": msg.role, "content": msg.content})
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return dialogue
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