Refactor config system to use Pydantic validation

Refactored configuration classes to inherit from a new ValidatedConfigBase using Pydantic for robust validation and error reporting. Updated api_ada_configs.py, config.py, config_base.py, and official_configs.py to replace dataclasses with Pydantic models, add field validation, and improve error messages. This change enhances configuration reliability and developer feedback for misconfigurations. Also includes minor code cleanups and removal of unused variables in other modules.

src/chat/memory_system/Hippocampus.py

@@ -1615,7 +1615,6 @@ class ParahippocampalGyrus:
 
             # 检查节点内是否有相似的记忆项需要整合
             if len(memory_items) > 1:
-                merged_in_this_node = False
                 items_to_remove = []
 
                 for i in range(len(memory_items)):
@@ -1630,7 +1629,6 @@ class ParahippocampalGyrus:
                             if shorter_item not in items_to_remove:
                                 items_to_remove.append(shorter_item)
                                 merged_count += 1
-                                merged_in_this_node = True
                                 logger.debug(f"[整合] 在节点 {node} 中合并相似记忆: {shorter_item[:30]}... -> {longer_item[:30]}...")
 
                 # 移除被合并的记忆项