为 planner 的 prompt 增加绰号注入，修改 config 默认配置

src/config/config.py

@@ -279,7 +279,7 @@ class BotConfig:
     MAX_NICKNAMES_IN_PROMPT: int = 10  # Prompt 中最多注入的绰号数量
     NICKNAME_PROBABILITY_SMOOTHING: int = 1  # 绰号加权随机选择的平滑因子
     NICKNAME_QUEUE_MAX_SIZE: int = 100  # 绰号处理队列最大容量
-    NICKNAME_PROCESS_SLEEP_INTERVAL: float = 0.5  # 绰号处理进程休眠间隔（秒）
+    NICKNAME_PROCESS_SLEEP_INTERVAL: float = 5  # 绰号处理进程休眠间隔（秒）
 
     # 模型配置
     llm_reasoning: dict[str, str] = field(default_factory=lambda: {})

src/plugins/heartFC_chat/heartFC_chat.py

@@ -29,6 +29,8 @@ from src.plugins.moods.moods import MoodManager
 from src.heart_flow.utils_chat import get_chat_type_and_target_info
 from rich.traceback import install
 from src.plugins.group_nickname.nickname_utils import trigger_nickname_analysis_if_needed
+from src.plugins.utils.chat_message_builder import get_raw_msg_before_timestamp_with_chat
+from src.plugins.group_nickname.nickname_utils import get_nickname_injection_for_prompt
 
 install(show_locals=True, extra_lines=3)
 
@@ -865,6 +867,15 @@ class HeartFChatting:
                     f"{self.log_prefix}[Planner] 临时移除的动作: {actions_to_remove_temporarily}, 当前可用: {list(current_available_actions.keys())}"
                 )
 
+            # 需要获取用于上下文的历史消息
+            message_list_before_now = get_raw_msg_before_timestamp_with_chat(
+                chat_id=self.stream_id,
+                timestamp=time.time(), # 使用当前时间作为参考点
+                limit=global_config.observation_context_size, # 使用与 prompt 构建一致的 limit
+            )
+            # 调用工具函数获取格式化后的绰号字符串
+            nickname_injection_str = await get_nickname_injection_for_prompt(self.chat_stream, message_list_before_now)
+            print(nickname_injection_str)
             # --- 构建提示词 (调用修改后的 PromptBuilder 方法) ---
             prompt = await prompt_builder.build_planner_prompt(
                 is_group_chat=self.is_group_chat,  # <-- Pass HFC state
@@ -874,6 +885,7 @@ class HeartFChatting:
                 current_mind=current_mind,  # <-- Pass argument
                 structured_info=self.sub_mind.structured_info_str,  # <-- Pass SubMind info
                 current_available_actions=current_available_actions,  # <-- Pass determined actions
+                nickname_info=nickname_injection_str,
             )
 
             # --- 调用 LLM (普通文本生成) ---

src/plugins/heartFC_chat/heartflow_prompt_builder.py

@@ -55,6 +55,7 @@ def init_prompt():
     Prompt(
         """你的名字是{bot_name},{prompt_personality}，{chat_context_description}。需要基于以下信息决定如何参与对话：
 {structured_info_block}
+{nickname_info}
 {chat_content_block}
 {current_mind_block}
 {cycle_info_block}
@@ -766,6 +767,7 @@ class PromptBuilder:
         current_mind: Optional[str],
         structured_info: Dict[str, Any],
         current_available_actions: Dict[str, str],
+        nickname_info: str,
         # replan_prompt: str, # Replan logic still simplified
     ) -> str:
         """构建 Planner LLM 的提示词 (获取模板并填充数据)"""
@@ -847,6 +849,7 @@ class PromptBuilder:
 
             prompt = planner_prompt_template.format(
                 bot_name=global_config.BOT_NICKNAME,
+                nickname_info=nickname_info,
                 prompt_personality=prompt_personality,
                 chat_context_description=chat_context_description,
                 structured_info_block=structured_info_block,

template/bot_config_template.toml

@@ -128,7 +128,7 @@ enable_nickname_mapping = false  # 绰号映射功能总开关（默认关闭，
 max_nicknames_in_prompt = 10  # Prompt 中最多注入的绰号数量（防止token数量爆炸）
 nickname_probability_smoothing = 1  # 绰号加权随机选择的平滑因子
 nickname_queue_max_size = 100  # 绰号处理队列最大容量
-nickname_process_sleep_interval = 0.5  # 绰号处理进程休眠间隔（秒）
+nickname_process_sleep_interval = 5  # 绰号处理进程休眠间隔（秒）
 
 [memory]
 build_memory_interval = 2000 # 记忆构建间隔 单位秒   间隔越低，麦麦学习越多，但是冗余信息也会增多