log：简化启动时log

dashboard/src/components/layout/Layout.tsx

@@ -130,7 +130,7 @@ export function Layout({ children }: LayoutProps) {
                 key="settings-sidebar"
                 className="relative z-40 hidden shrink-0 lg:block"
                 initial={{ width: 0, opacity: 0 }}
-                animate={{ width: sidebarOpen ? 224 : 64, opacity: 1 }}
+                animate={{ width: sidebarOpen ? 208 : 64, opacity: 1 }}
                 exit={{ width: 0, opacity: 0 }}
                 transition={{
                   type: 'spring',

dashboard/src/components/layout/Sidebar.tsx

@@ -32,8 +32,8 @@ export function Sidebar({
         'fixed inset-y-0 left-0 z-50 isolate flex flex-col border-r transition-all duration-300 lg:relative lg:z-0 lg:h-full',
         inheritsPageBackground ? 'bg-transparent' : 'bg-card',
         // 移动端始终显示完整宽度，桌面端根据 sidebarOpen 切换
-        'w-56 lg:w-auto',
+        'w-52 lg:w-auto',
-        sidebarOpen ? 'lg:w-56' : 'lg:w-16',
+        sidebarOpen ? 'lg:w-52' : 'lg:w-16',
         mobileMenuOpen ? 'translate-x-0' : '-translate-x-full lg:translate-x-0'
       )}
     >

dashboard/src/index.css

@@ -183,7 +183,7 @@
     --layout-space-lg: 1.5rem;
     --layout-space-xl: 2rem;
     --layout-space-2xl: 3rem;
-    --layout-sidebar-width: 14rem;
+    --layout-sidebar-width: 13rem;
     --layout-header-height: 3.5rem;
     --layout-max-content-width: 1280px;
 

dashboard/src/lib/theme/tokens.ts

@@ -225,7 +225,7 @@ export const defaultLightTokens: ThemeTokens = {
     'space-lg': '1.5rem',
     'space-xl': '2rem',
     'space-2xl': '3rem',
-    'sidebar-width': '16rem',
+    'sidebar-width': '13rem',
     'header-height': '3.5rem',
     'max-content-width': '1280px',
   },
@@ -320,7 +320,7 @@ export const defaultDarkTokens: ThemeTokens = {
     'space-lg': '1.5rem',
     'space-xl': '2rem',
     'space-2xl': '3rem',
-    'sidebar-width': '16rem',
+    'sidebar-width': '13rem',
     'header-height': '3.5rem',
     'max-content-width': '1280px',
   },

dashboard/src/routes/config/bot/sections/FeaturesSection.tsx

@@ -113,22 +113,6 @@ export const FeaturesSection = React.memo(function FeaturesSection({
               记忆检索过程中是否启用黑话识别
             </p>
 
-            <div className="flex items-center space-x-2">
-              <Switch
-                id="global_memory"
-                checked={memoryConfig.global_memory ?? false}
-                onCheckedChange={(checked) =>
-                  onMemoryChange({ ...memoryConfig, global_memory: checked })
-                }
-              />
-              <Label htmlFor="global_memory" className="cursor-pointer">
-                全局记忆查询
-              </Label>
-            </div>
-            <p className="text-xs text-muted-foreground -mt-2">
-              允许记忆检索在所有聊天记录中进行全局查询（忽略当前聊天流）
-            </p>
-
             {/* 聊天历史总结配置 */}
             <div className="border-t pt-4 mt-4">
               <h4 className="text-sm font-semibold mb-3">聊天历史总结配置</h4>

dashboard/src/routes/config/bot/types.ts

@@ -84,7 +84,6 @@ export interface MemoryConfig {
   max_agent_iterations: number
   agent_timeout_seconds: number
   enable_jargon_detection: boolean
-  global_memory: boolean
   chat_history_topic_check_message_threshold: number
   chat_history_topic_check_time_hours: number
   chat_history_topic_check_min_messages: number

dashboard/src/routes/settings/AppearanceTab.tsx

@@ -605,12 +605,12 @@ export function AppearanceTab() {
                   <div className="flex justify-between">
                     <Label>{t('settings.appearance.sidebarWidthLabel')}</Label>
                     <span className="text-sm text-muted-foreground">
-                      {getTokenValue(themeConfig.tokenOverrides, 'layout', 'sidebar-width', '16rem')}
+                      {getTokenValue(themeConfig.tokenOverrides, 'layout', 'sidebar-width', '13rem')}
                     </span>
                   </div>
                   <Slider
                     defaultValue={[16]}
-                    value={[parseFloat(getTokenValue(themeConfig.tokenOverrides, 'layout', 'sidebar-width', '16'))]}
+                    value={[parseFloat(getTokenValue(themeConfig.tokenOverrides, 'layout', 'sidebar-width', '13'))]}
                     min={12}
                     max={24}
                     step={0.5}

src/A_memorix/core/embedding/api_adapter.py

@@ -60,10 +60,10 @@ class EmbeddingAPIAdapter:
         self._total_time = 0.0
 
         logger.info(
-            "EmbeddingAPIAdapter 初始化: "
+            "Embedding 初始化: "
-            f"batch_size={self.batch_size}, "
+            f"batch={self.batch_size}, "
-            f"max_concurrent={self.max_concurrent}, "
+            f"concurrent={self.max_concurrent}, "
-            f"configured_dim={self.default_dimension}, "
+            f"dim={self.default_dimension}, "
             f"model={self.model_name}"
         )
 
@@ -258,10 +258,10 @@ class EmbeddingAPIAdapter:
         if cached_dimension is not None:
             self._dimension = int(cached_dimension)
             self._dimension_detected = True
-            logger.info(f"嵌入维度命中进程缓存: {self._dimension}")
+            logger.debug(f"嵌入维度命中进程缓存: {self._dimension}")
             return self._dimension
 
-        logger.info("正在检测嵌入模型维度...")
+        logger.info("检测嵌入维度...")
         try:
             target_dim = self.default_dimension
             logger.debug(f"尝试请求指定维度: {target_dim}")
@@ -269,7 +269,7 @@ class EmbeddingAPIAdapter:
             if test_embedding and isinstance(test_embedding, list):
                 detected_dim = len(test_embedding)
                 if detected_dim == target_dim:
-                    logger.info(f"嵌入维度检测成功 (匹配 configured/requested): {detected_dim}")
+                    logger.info(f"嵌入维度: {detected_dim}")
                 else:
                     logger.warning(
                         f"requested_dimension={target_dim} 但模型返回 detected_dimension={detected_dim}，将使用真实输出维度"
@@ -288,7 +288,7 @@ class EmbeddingAPIAdapter:
                 self._dimension = detected_dim
                 self._dimension_detected = True
                 self._GLOBAL_DIMENSION_CACHE[cache_key] = int(detected_dim)
-                logger.info(f"嵌入维度检测成功 (自然维度): {detected_dim}")
+                logger.info(f"嵌入维度: {detected_dim} (自然输出)")
                 return detected_dim
             logger.warning(f"嵌入维度检测失败，使用 configured_dimension: {self.default_dimension}")
         except Exception as exc:

src/A_memorix/core/retrieval/dual_path.py

@@ -249,7 +249,7 @@ class DualPathRetriever:
             config=self.config.graph_recall,
         )
 
-        logger.info(
+        logger.debug(
             f"DualPathRetriever 初始化: "
             f"strategy={self.config.retrieval_strategy.value}, "
             f"top_k_para={self.config.top_k_paragraphs}, "

src/A_memorix/core/retrieval/pagerank.py

@@ -88,7 +88,7 @@ class PersonalizedPageRank:
         self._total_iterations = 0
         self._convergence_history: List[int] = []
 
-        logger.info(
+        logger.debug(
             f"PersonalizedPageRank 初始化: "
             f"alpha={self.config.alpha}, "
             f"max_iter={self.config.max_iter}"

src/A_memorix/core/retrieval/sparse_bm25.py

@@ -122,7 +122,7 @@ class SparseBM25Index:
         self._conn = conn
         self._loaded = True
         self._prepare_tokenizer()
-        logger.info(
+        logger.debug(
             "SparseBM25Index loaded: "
             f"backend=fts5, tokenizer={self.config.tokenizer_mode}, mode={self.config.mode}"
         )

src/A_memorix/core/retrieval/threshold.py

@@ -99,7 +99,7 @@ class DynamicThresholdFilter:
         self._total_processed = 0
         self._threshold_history: List[float] = []
 
-        logger.info(
+        logger.debug(
             f"DynamicThresholdFilter 初始化: "
             f"method={self.config.method.value}, "
             f"min_threshold={self.config.min_threshold}"

src/A_memorix/core/runtime/lifecycle_orchestrator.py

@@ -161,7 +161,7 @@ async def initialize_storage_async(plugin: Any) -> None:
 
     try:
         detected_dimension = await plugin.embedding_manager._detect_dimension()
-        logger.info(f"嵌入维度检测成功: {detected_dimension}")
+        logger.info(f"嵌入维度: {detected_dimension}")
     except Exception as e:
         logger.warning(f"嵌入维度检测失败: {e}，使用默认值")
         detected_dimension = plugin.embedding_manager.default_dimension
@@ -194,11 +194,11 @@ async def initialize_storage_async(plugin: Any) -> None:
         matrix_format=matrix_format,
         data_dir=data_dir / "graph",
     )
-    logger.info("图存储初始化完成")
+    logger.debug("图存储初始化完成")
 
     plugin.metadata_store = MetadataStore(data_dir=data_dir / "metadata")
     plugin.metadata_store.connect()
-    logger.info("元数据存储初始化完成")
+    logger.debug("元数据存储初始化完成")
 
     plugin.relation_write_service = RelationWriteService(
         metadata_store=plugin.metadata_store,
@@ -233,7 +233,7 @@ async def initialize_storage_async(plugin: Any) -> None:
     if plugin.vector_store.has_data():
         try:
             plugin.vector_store.load()
-            logger.info(f"向量数据已加载，共 {plugin.vector_store.num_vectors} 个向量")
+            logger.debug(f"向量数据已加载，共 {plugin.vector_store.num_vectors} 个向量")
         except Exception as e:
             logger.warning(f"加载向量数据失败: {e}")
 
@@ -259,7 +259,7 @@ async def initialize_storage_async(plugin: Any) -> None:
     if plugin.graph_store.has_data():
         try:
             plugin.graph_store.load()
-            logger.info(f"图数据已加载，共 {plugin.graph_store.num_nodes} 个节点")
+            logger.debug(f"图数据已加载，共 {plugin.graph_store.num_nodes} 个节点")
         except Exception as e:
             logger.warning(f"加载图数据失败: {e}")
 

src/A_memorix/core/runtime/search_runtime_initializer.py

@@ -222,7 +222,7 @@ def build_search_runtime(
         )
         runtime.threshold_filter = DynamicThresholdFilter(threshold_config)
         runtime.error = ""
-        log.info(f"{prefix_text}[{owner}] 检索运行时初始化完成")
+        log.info(f"{prefix_text}[{owner}] 检索运行时就绪")
     except Exception as e:
         runtime.retriever = None
         runtime.threshold_filter = None

src/A_memorix/core/storage/graph_store.py

@@ -119,7 +119,7 @@ class GraphStore:
         # V5: 简单的异步锁 (实际上 asyncio 环境下单线程主循环可能不需要，但为了安全保留)
         self._lock = asyncio.Lock()
 
-        logger.info(f"GraphStore 初始化: format={matrix_format}")
+        logger.debug(f"图存储初始化: format={matrix_format}")
 
     def _canonicalize(self, node: str) -> str:
         """规范化节点名称 (用于去重和内部索引)"""
@@ -1317,8 +1317,8 @@ class GraphStore:
 
         self._adjacency_dirty = True
         logger.info(
-            f"图存储已加载: {len(self._nodes)} 个节点, "
+            f"图存储已加载: 节点={len(self._nodes)}, "
-            f"{self._adjacency.nnz if self._adjacency is not None else 0} 条边"
+            f"边={self._adjacency.nnz if self._adjacency is not None else 0}"
         )
 
     def _expand_adjacency_matrix(self, added_nodes: int) -> None:

src/A_memorix/core/storage/metadata_store.py

@@ -72,7 +72,7 @@ class MetadataStore:
         self._is_initialized = False
         self._db_path: Optional[Path] = None
 
-        logger.info(f"MetadataStore 初始化: db={db_name}")
+        logger.debug(f"元数据存储初始化: db={db_name}")
 
     def connect(
         self,
@@ -114,7 +114,7 @@ class MetadataStore:
         self._conn.execute("PRAGMA temp_store=MEMORY")
         self._conn.execute("PRAGMA foreign_keys = ON") # 开启外键约束支持级联删除
 
-        logger.info(f"连接到数据库: {db_path}")
+        logger.info(f"数据库已连接: {db_path}")
 
         # 初始化或校验 schema
         if not self._is_initialized:

src/A_memorix/core/storage/vector_store.py

@@ -108,7 +108,7 @@ class VectorStore:
         # Thread safety lock
         self._lock = threading.RLock()
 
-        logger.info(f"VectorStore Init: dim={dimension}, SQ8 Mode, Append-Only Storage")
+        logger.info(f"向量存储初始化: dim={dimension}, mode=SQ8")
 
     def _init_index(self):
         """初始化空的 Faiss 索引"""
@@ -379,7 +379,7 @@ class VectorStore:
             预热状态摘要
         """
         started = time.perf_counter()
-        logger.info(f"metric.vector_index_prewarm_started=1 force_train={bool(force_train)}")
+        logger.debug(f"metric.vector_index_prewarm_started=1 force_train={bool(force_train)}")
 
         try:
             with self._lock:
@@ -435,7 +435,7 @@ class VectorStore:
             )
             return summary
 
-        logger.info(
+        logger.debug(
             "metric.vector_index_prewarm_success=1 "
             f"metric.vector_index_prewarm_duration_ms={summary['duration_ms']:.2f} "
             f"trained={summary['trained']} "

src/config/config.py

@@ -57,7 +57,7 @@ MODEL_CONFIG_PATH: Path = (CONFIG_DIR / "model_config.toml").resolve().absolute(
 LEGACY_ENV_PATH: Path = (PROJECT_ROOT / ".env").resolve().absolute()
 A_MEMORIX_LEGACY_CONFIG_PATH: Path = (CONFIG_DIR / "a_memorix.toml").resolve().absolute()
 MMC_VERSION: str = "1.0.0-pre.11"
-CONFIG_VERSION: str = "8.10.7"
+CONFIG_VERSION: str = "8.10.8"
 MODEL_CONFIG_VERSION: str = "1.15.3"
 
 logger = get_logger("config")

src/config/legacy_migration.py

@@ -392,11 +392,6 @@ def try_migrate_legacy_bot_config_dict(data: dict[str, Any]) -> MigrationResult:
         migrated_any = True
         reasons.append("visual.visual_style_removed")
 
-    memory = _as_dict(data.get("memory"))
-    if memory is not None and _migrate_target_item_list(memory, "global_memory_blacklist"):
-        migrated_any = True
-        reasons.append("memory.global_memory_blacklist")
-
     keyword_reaction = _as_dict(data.get("keyword_reaction"))
     if keyword_reaction is not None:
         if _drop_empty_keyword_rules(keyword_reaction, "keyword_rules"):

src/config/official_configs.py

@@ -472,26 +472,6 @@ class MemoryConfig(ConfigBase):
 
     __ui_parent__ = "a_memorix"
 
-
-    global_memory: bool = Field(
-        default=False,
-        json_schema_extra={
-            "x-widget": "switch",
-            "x-icon": "globe",
-        },
-    )
-    """是否允许记忆检索在聊天记录中进行全局查询（忽略当前chat_id，仅对 search_chat_history 等工具生效）"""
-
-    global_memory_blacklist: list[TargetItem] = Field(
-        default_factory=lambda: [],
-        json_schema_extra={
-            "x-widget": "custom",
-            "x-icon": "shield-off",
-        },
-    )
-    """_wrap_全局记忆黑名单，当启用全局记忆时，不将特定聊天流纳入检索"""
-
-
     enable_memory_query_tool: bool = Field(
         default=True,
         json_schema_extra={