feat；私聊回滚wait，添加记忆总结模型配置

src/config/config.py

@@ -58,7 +58,7 @@ 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.14"
 CONFIG_VERSION: str = "8.10.15"
-MODEL_CONFIG_VERSION: str = "1.16.0"
+MODEL_CONFIG_VERSION: str = "1.16.1"
 
 logger = get_logger("config")
 

src/config/default_model_config.py

@@ -25,6 +25,13 @@ DEFAULT_TASK_CONFIG_TEMPLATES: dict[str, dict[str, Any]] = {
         "slow_threshold": 15.0,
         "selection_strategy": "random",
     },
+    "memory": {
+        "model_list": [],
+        "max_tokens": 4096,
+        "temperature": 0.5,
+        "slow_threshold": 30.0,
+        "selection_strategy": "random",
+    },
     "replyer": {
         "model_list": ["deepseek-v4-pro-think", "deepseek-v4-pro-nonthink"],
         "max_tokens": 4096,

src/config/model_configs.py

@@ -440,6 +440,16 @@ class ModelTaskConfig(ConfigBase):
     )
     """规划模型配置"""
 
+    memory: TaskConfig = Field(
+        default_factory=TaskConfig,
+        json_schema_extra={
+            "x-widget": "custom",
+            "x-icon": "brain",
+            "advanced": True,
+        },
+    )
+    """记忆模型配置，用于长期记忆总结、抽取、写回等高质量记忆任务；留空时由调用方按需回退"""
+
     utils: TaskConfig = Field(
         default_factory=TaskConfig,
         json_schema_extra={