更新配置文件版本号
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SengokuCola
@@ -206,127 +206,3 @@ class CoreActionsPlugin(BasePlugin):
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# components.append((DeepReplyAction.get_action_info(), DeepReplyAction))
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return components
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# class DeepReplyAction(BaseAction):
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# """回复动作 - 参与聊天回复"""
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# # 激活设置
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# focus_activation_type = ActionActivationType.ALWAYS
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# normal_activation_type = ActionActivationType.NEVER
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# mode_enable = ChatMode.FOCUS
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# parallel_action = False
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# # 动作基本信息
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# action_name = "deep_reply"
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# action_description = "参与聊天回复，关注某个话题，对聊天内容进行深度思考，给出回复"
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# # 动作参数定义
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# action_parameters = {
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# "topic": "想要思考的话题"
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# }
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# # 动作使用场景
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# action_require = ["有些问题需要深度思考", "某个问题可能涉及多个方面", "某个问题涉及专业领域或者需要专业知识","这个问题讨论的很激烈，需要深度思考"]
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# # 关联类型
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# associated_types = ["text"]
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# async def execute(self) -> Tuple[bool, str]:
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# """执行回复动作"""
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# logger.info(f"{self.log_prefix} 决定深度思考")
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# try:
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# # 获取聊天观察
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# chatting_observation = self._get_chatting_observation()
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# if not chatting_observation:
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# return False, "未找到聊天观察"
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# talking_message_str = chatting_observation.talking_message_str
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# # 处理回复目标
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# chat_stream = self.api.get_service("chat_stream")
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# anchor_message = await create_empty_anchor_message(chat_stream.platform, chat_stream.group_info, chat_stream)
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# llm_model = self.api.get_available_models().replyer_1
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# prompt = f"""
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# {talking_message_str}
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# 在上面的聊天中，你对{self.action_data.get("topic", "")}感兴趣，形成深刻观点，请你思考,总结成一份学术论文,APA标准格式
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# """
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# success, response, reasoning, model_name = await self.api.generate_with_model(prompt, llm_model)
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# print(prompt)
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# print(f"DeepReplyAction: {response}")
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# # prompt = f"""
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# # {talking_message_str}
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# # 在上面的聊天中，你对{self.action_data.get("topic", "")}感兴趣，请你思考
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# # """
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# extra_info_block = self.action_data.get("extra_info_block", "")
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# extra_info_block += response
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# # extra_info_block += f"\n--------------------------------\n注意，这是最重要的内容！！！！！你现在可以用比较长的篇幅来表达你的观点，不要只回复一个字或者几个字\n由于你进入了深度思考模式，所以下方聊天记录的回复要求不再适用，请你自由的表达，不论字数长短限制\n\n--------------------------------\n注意，你现在可以用比较长的篇幅来表达你的观点，不要只回复一个字或者几个字\n由于你进入了深度思考模式，所以下方聊天记录的回复要求不再适用，请你自由的表达，不论字数长短限制\n"
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# # extra_info_block += f"\n--------------------------------\n注意，优先关注这句！！！！你现在可以用比较长的篇幅来表达你的观点，不要只回复一个字或者几个字\n由于你进入了深度思考模式，所以下方聊天记录的回复要求不再适用，请你自由的表达，不论字数长短限制\n\n--------------------------------\n注意，你现在可以用比较长的篇幅来表达你的观点，不要只回复一个字或者几个字\n由于你进入了深度思考模式，所以其他的回复要求不再适用，请你自由的表达，不论字数长短限制\n"
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# self.action_data["extra_info_block"] = extra_info_block
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# # 获取回复器服务
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# # replyer = self.api.get_service("replyer")
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# # if not replyer:
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# # logger.error(f"{self.log_prefix} 未找到回复器服务")
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# # return False, "回复器服务不可用"
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# # await self.send_message_by_expressor(extra_info_block)
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# await self.send_text(extra_info_block)
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# # 执行回复
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# # success, reply_set = await replyer.deal_reply(
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# # cycle_timers=self.cycle_timers,
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# # action_data=self.action_data,
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# # anchor_message=anchor_message,
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# # reasoning=self.reasoning,
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# # thinking_id=self.thinking_id,
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# # )
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# # 构建回复文本
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# reply_text = "self._build_reply_text(reply_set)"
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# # 存储动作记录
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# await self.api.store_action_info(
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# action_build_into_prompt=False,
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# action_prompt_display=reply_text,
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# action_done=True,
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# thinking_id=self.thinking_id,
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# action_data=self.action_data,
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# )
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# # 重置NoReplyAction的连续计数器
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# NoReplyAction.reset_consecutive_count()
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# return success, reply_text
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# except Exception as e:
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# logger.error(f"{self.log_prefix} 回复动作执行失败: {e}")
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# return False, f"回复失败: {str(e)}"
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# def _get_chatting_observation(self) -> Optional[ChattingObservation]:
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# """获取聊天观察对象"""
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# observations = self.api.get_service("observations") or []
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# for obs in observations:
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# if isinstance(obs, ChattingObservation):
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# return obs
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# return None
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# def _build_reply_text(self, reply_set) -> str:
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# """构建回复文本"""
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# reply_text = ""
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# if reply_set:
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# for reply in reply_set:
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# data = reply[1]
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# reply_text += data
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# return reply_text
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