update：发布0.6.3前的准备工作，changlog，readme，配置文件修改

src/api/config_api.py

@@ -132,7 +132,7 @@ class BotConfig:
     # llm_reasoning_minor: Dict[str, str]
     llm_normal: Dict[str, str]  # LLM普通
     llm_topic_judge: Dict[str, str]  # LLM话题判断
-    llm_summary_by_topic: Dict[str, str]  # LLM话题总结
+    llm_summary: Dict[str, str]  # LLM话题总结
     llm_emotion_judge: Dict[str, str]  # LLM情感判断
     embedding: Dict[str, str]  # 嵌入
     vlm: Dict[str, str]  # VLM

src/config/config.py

@@ -279,8 +279,7 @@ class BotConfig:
     # llm_reasoning_minor: Dict[str, str] = field(default_factory=lambda: {})
     llm_normal: Dict[str, str] = field(default_factory=lambda: {})
     llm_topic_judge: Dict[str, str] = field(default_factory=lambda: {})
-    llm_summary_by_topic: Dict[str, str] = field(default_factory=lambda: {})
-    llm_emotion_judge: Dict[str, str] = field(default_factory=lambda: {})
+    llm_summary: Dict[str, str] = field(default_factory=lambda: {})
     embedding: Dict[str, str] = field(default_factory=lambda: {})
     vlm: Dict[str, str] = field(default_factory=lambda: {})
     moderation: Dict[str, str] = field(default_factory=lambda: {})
@@ -481,8 +480,7 @@ class BotConfig:
                 # "llm_reasoning_minor",
                 "llm_normal",
                 "llm_topic_judge",
-                "llm_summary_by_topic",
-                "llm_emotion_judge",
+                "llm_summary",
                 "vlm",
                 "embedding",
                 "llm_tool_use",

src/do_tool/tool_can_use/lpmm_get_knowledge.py

@@ -14,7 +14,7 @@ class SearchKnowledgeFromLPMMTool(BaseTool):
     """从LPMM知识库中搜索相关信息的工具"""
 
     name = "lpmm_search_knowledge"
-    description = "从知识库中搜索相关信息"
+    description = "从知识库中搜索相关信息，如果你需要知识，就使用这个工具"
     parameters = {
         "type": "object",
         "properties": {

src/heart_flow/0.6Bing.md

@@ -81,4 +81,14 @@
 - **基于人格生成预设知识:**
     - 开发利用 LLM 和人格配置生成背景知识的功能。
     - 这些知识应符合角色的行为风格和可能的经历。
-    - 作为一种"冷启动"或丰富角色深度的方式。
+    - 作为一种"冷启动"或丰富角色深度的方式。
+
+
+## 开发计划TODO：LIST
+
+- 人格功能：WIP
+- 对特定对象的侧写功能
+- 图片发送，转发功能：WIP
+- 幽默和meme功能：WIP
+- 小程序转发链接解析
+- 自动生成的回复逻辑，例如自生成的回复方向，回复风格

src/plugins/heartFC_chat/normal_chat_generator.py

@@ -29,7 +29,7 @@ class NormalChatGenerator:
         )
 
         self.model_sum = LLMRequest(
-            model=global_config.llm_summary_by_topic, temperature=0.7, max_tokens=3000, request_type="relation"
+            model=global_config.llm_summary, temperature=0.7, max_tokens=3000, request_type="relation"
         )
         self.current_model_type = "r1"  # 默认使用 R1
         self.current_model_name = "unknown model"

src/plugins/memory_system/Hippocampus.py

@@ -189,7 +189,7 @@ class Hippocampus:
     def __init__(self):
         self.memory_graph = MemoryGraph()
         self.llm_topic_judge = None
-        self.llm_summary_by_topic = None
+        self.llm_summary = None
         self.entorhinal_cortex = None
         self.parahippocampal_gyrus = None
         self.config = None
@@ -203,7 +203,7 @@ class Hippocampus:
         # 从数据库加载记忆图
         self.entorhinal_cortex.sync_memory_from_db()
         self.llm_topic_judge = LLMRequest(self.config.llm_topic_judge, request_type="memory")
-        self.llm_summary_by_topic = LLMRequest(self.config.llm_summary_by_topic, request_type="memory")
+        self.llm_summary = LLMRequest(self.config.llm_summary, request_type="memory")
 
     def get_all_node_names(self) -> list:
         """获取记忆图中所有节点的名字列表"""
@@ -1169,7 +1169,7 @@ class ParahippocampalGyrus:
             # 调用修改后的 topic_what，不再需要 time_info
             topic_what_prompt = self.hippocampus.topic_what(input_text, topic)
             try:
-                task = self.hippocampus.llm_summary_by_topic.generate_response_async(topic_what_prompt)
+                task = self.hippocampus.llm_summary.generate_response_async(topic_what_prompt)
                 tasks.append((topic.strip(), task))
             except Exception as e:
                 logger.error(f"生成话题 '{topic}' 的摘要时发生错误: {e}")

src/plugins/memory_system/memory_config.py

@@ -24,7 +24,7 @@ class MemoryConfig:
     consolidate_memory_interval: int  # 记忆整合间隔
 
     llm_topic_judge: str  # 话题判断模型
-    llm_summary_by_topic: str  # 话题总结模型
+    llm_summary: str  # 话题总结模型
 
     @classmethod
     def from_global_config(cls, global_config):
@@ -44,7 +44,7 @@ class MemoryConfig:
             consolidate_memory_percentage=getattr(global_config, "consolidate_memory_percentage", 0.01),
             consolidate_memory_interval=getattr(global_config, "consolidate_memory_interval", 1000),
             llm_topic_judge=getattr(global_config, "llm_topic_judge", "default_judge_model"),  # 添加默认模型名
-            llm_summary_by_topic=getattr(
-                global_config, "llm_summary_by_topic", "default_summary_model"
+            llm_summary=getattr(
+                global_config, "llm_summary", "default_summary_model"
             ),  # 添加默认模型名
         )