主动思考大优化
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tt-P607
Windpicker-owo
@@ -102,29 +102,38 @@ def init_prompt():
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{actions_before_now_block}
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## 任务
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基于以上所有信息（特别是最近的聊天内容），分析当前情况，决定是否适合主动开启一个**新的、但又与当前氛围相关**的话题。
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你现在要决定是否主动说些什么。就像一个真实的人一样，有时候会突然想起之前聊到的话题，或者对朋友的近况感到好奇，想主动询问或关心一下。
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请基于聊天内容，用你的判断力来决定是否要主动发言。不要按照固定规则，而是像人类一样自然地思考：
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- 是否想起了什么之前提到的事情，想问问后来怎么样了？
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- 是否注意到朋友提到了什么值得关心的事情？
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- 是否有什么话题突然想到，觉得现在聊聊很合适？
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- 或者觉得现在保持沉默更好？
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## 可用动作
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动作：proactive_reply
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动作描述：在当前对话的基础上，主动发起一个新的对话，分享一个有趣的想法、见闻或者对未来的计划。
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- 当你觉得可以说些什么来活跃气氛，并且内容与当前聊天氛围不冲突时
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- 当你有一些新的想法或计划想要分享，并且可以自然地衔接当前话题时
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动作描述：主动发起对话，可以是关心朋友、询问近况、延续之前的话题，或分享想法。
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- 当你突然想起之前的话题，想询问进展时
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- 当你想关心朋友的情况时
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- 当你有什么想法想分享时
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- 当你觉得现在是个合适的聊天时机时
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{{
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"action": "proactive_reply",
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"reason": "决定主动发起对话的具体原因",
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"topic": "你想要发起对话的主题或内容（需要简洁）"
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"reason": "你决定主动发言的具体原因",
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"topic": "你想说的内容主题（简洁描述）"
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}}
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动作：do_nothing
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动作描述：保持沉默，不主动发起任何动作或对话。
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- 当你分析了所有信息后，觉得当前不是一个发起互动的好时机时
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- 当最近的聊天内容很连贯，你的插入会打断别人时
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动作描述：保持沉默，不主动发起对话。
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- 当你觉得现在不是合适的时机时
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- 当最近已经说得够多了时
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- 当对话氛围不适合插入时
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{{
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"action": "do_nothing",
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"reason":"决定保持沉默的具体原因"
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"reason": "决定保持沉默的原因"
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}}
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你必须从上面列出的可用action中选择一个。
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你必须从上面列出的可用action中选择一个。要像真人一样自然地思考和决策。
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请以严格的 JSON 格式输出，且仅包含 JSON 内容：
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""",
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"proactive_planner_prompt",
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@@ -497,53 +506,59 @@ class ActionPlanner:
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# --- 2. 启动小脑并行思考 ---
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all_sub_planner_results: List[Dict[str, Any]] = []
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try:
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sub_planner_actions: Dict[str, ActionInfo] = {}
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for action_name, action_info in available_actions.items():
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# PROACTIVE模式下禁用小脑，避免与大脑的主动思考决策冲突
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if mode != ChatMode.PROACTIVE:
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try:
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sub_planner_actions: Dict[str, ActionInfo] = {}
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for action_name, action_info in available_actions.items():
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if action_info.activation_type in [ActionActivationType.LLM_JUDGE, ActionActivationType.ALWAYS]:
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sub_planner_actions[action_name] = action_info
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elif action_info.activation_type == ActionActivationType.RANDOM:
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if random.random() < action_info.random_activation_probability:
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sub_planner_actions[action_name] = action_info
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elif action_info.activation_type == ActionActivationType.KEYWORD:
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if any(keyword in chat_content_block_short for keyword in action_info.activation_keywords):
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if action_info.activation_type in [ActionActivationType.LLM_JUDGE, ActionActivationType.ALWAYS]:
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sub_planner_actions[action_name] = action_info
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elif action_info.activation_type == ActionActivationType.RANDOM:
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if random.random() < action_info.random_activation_probability:
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sub_planner_actions[action_name] = action_info
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elif action_info.activation_type == ActionActivationType.KEYWORD:
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if any(keyword in chat_content_block_short for keyword in action_info.activation_keywords):
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sub_planner_actions[action_name] = action_info
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if sub_planner_actions:
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sub_planner_actions_num = len(sub_planner_actions)
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planner_size_config = global_config.chat.planner_size
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sub_planner_size = int(planner_size_config) + (
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1 if random.random() < planner_size_config - int(planner_size_config) else 0
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)
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sub_planner_num = math.ceil(sub_planner_actions_num / sub_planner_size)
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logger.info(f"{self.log_prefix}使用{sub_planner_num}个小脑进行思考 (尺寸: {sub_planner_size})")
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action_items = list(sub_planner_actions.items())
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random.shuffle(action_items)
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sub_planner_lists = [action_items[i::sub_planner_num] for i in range(sub_planner_num)]
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sub_plan_tasks = [
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self.sub_plan(
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action_list=action_group,
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chat_content_block=chat_content_block_short,
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message_id_list=message_id_list_short,
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is_group_chat=is_group_chat,
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chat_target_info=chat_target_info,
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if sub_planner_actions:
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sub_planner_actions_num = len(sub_planner_actions)
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planner_size_config = global_config.chat.planner_size
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sub_planner_size = int(planner_size_config) + (
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1 if random.random() < planner_size_config - int(planner_size_config) else 0
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)
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for action_group in sub_planner_lists
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]
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sub_plan_results = await asyncio.gather(*sub_plan_tasks)
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for sub_result in sub_plan_results:
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all_sub_planner_results.extend(sub_result)
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sub_actions_str = ", ".join(
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a["action_type"] for a in all_sub_planner_results if a["action_type"] != "no_action"
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) or "no_action"
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logger.info(f"{self.log_prefix}小脑决策: [{sub_actions_str}]")
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sub_planner_num = math.ceil(sub_planner_actions_num / sub_planner_size)
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logger.info(f"{self.log_prefix}使用{sub_planner_num}个小脑进行思考 (尺寸: {sub_planner_size})")
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except Exception as e:
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logger.error(f"{self.log_prefix}小脑调度过程中出错: {e}\n{traceback.format_exc()}")
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action_items = list(sub_planner_actions.items())
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random.shuffle(action_items)
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sub_planner_lists = [action_items[i::sub_planner_num] for i in range(sub_planner_num)]
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sub_plan_tasks = [
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self.sub_plan(
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action_list=action_group,
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chat_content_block=chat_content_block_short,
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message_id_list=message_id_list_short,
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is_group_chat=is_group_chat,
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chat_target_info=chat_target_info,
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)
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for action_group in sub_planner_lists
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]
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sub_plan_results = await asyncio.gather(*sub_plan_tasks)
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for sub_result in sub_plan_results:
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all_sub_planner_results.extend(sub_result)
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sub_actions_str = ", ".join(
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a["action_type"] for a in all_sub_planner_results if a["action_type"] != "no_action"
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) or "no_action"
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logger.info(f"{self.log_prefix}小脑决策: [{sub_actions_str}]")
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except Exception as e:
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logger.error(f"{self.log_prefix}小脑调度过程中出错: {e}\n{traceback.format_exc()}")
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else:
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# PROACTIVE模式下小脑保持沉默，让大脑专注于主动思考决策
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logger.info(f"{self.log_prefix}PROACTIVE模式：小脑保持沉默，主动思考交给大脑决策")
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# --- 3. 大脑独立思考是否回复 ---
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action, reasoning, action_data, target_message = "no_reply", "大脑初始化默认", {}, None
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