refactor(memory): restructure memory agent and config management

- Reorganize imports and remove unused dependencies across memory agent controllers
- Extract config validation logic into dedicated validators module
- Create new memory_config_model and memory_config_schema for configuration management
- Implement memory_config_service for centralized config handling
- Add embedder_utils module for embedding model utilities
- Refactor memory agent service to use new config validation framework
- Clean up configuration files (remove config.json, testdata.json, dbrun.json)
- Remove deprecated hybrid_chatbot.py and config overrides
- Update logging configuration and error handling across memory modules
- Consolidate LLM and embedding model validation into validators
- Improve code organization and reduce duplication in memory storage services
- Enhance type classification and verification tools with better error handling

api/app/models/memory_config_model.py

@@ -0,0 +1,39 @@
+# -*- coding: utf-8 -*-
+"""Memory Configuration Model - Backward Compatibility
+
+This module provides backward compatibility for imports.
+All classes have been moved to app.schemas.memory_config_schema.
+
+DEPRECATED: Import from app.schemas.memory_config_schema instead.
+"""
+
+# Re-export for backward compatibility
+from app.schemas.memory_config_schema import (
+    ConfigurationError,
+    InvalidConfigError,
+    MemoryConfig,
+    MemoryConfigValidation,
+    ModelInactiveError,
+    ModelNotFoundError,
+    ModelValidation,
+    WorkspaceNotFoundError,
+    WorkspaceValidation,
+    validate_memory_config_data,
+    validate_model_data,
+    validate_workspace_data,
+)
+
+__all__ = [
+    "ConfigurationError",
+    "InvalidConfigError",
+    "MemoryConfig",
+    "MemoryConfigValidation",
+    "ModelInactiveError",
+    "ModelNotFoundError",
+    "ModelValidation",
+    "WorkspaceNotFoundError",
+    "WorkspaceValidation",
+    "validate_memory_config_data",
+    "validate_model_data",
+    "validate_workspace_data",
+]