1e3ba39150
- 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
40 lines
1007 B
Python
40 lines
1007 B
Python
# -*- coding: utf-8 -*-
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"""Memory Configuration Model - Backward Compatibility
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This module provides backward compatibility for imports.
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All classes have been moved to app.schemas.memory_config_schema.
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DEPRECATED: Import from app.schemas.memory_config_schema instead.
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"""
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# Re-export for backward compatibility
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from app.schemas.memory_config_schema import (
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ConfigurationError,
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InvalidConfigError,
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MemoryConfig,
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MemoryConfigValidation,
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ModelInactiveError,
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ModelNotFoundError,
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ModelValidation,
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WorkspaceNotFoundError,
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WorkspaceValidation,
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validate_memory_config_data,
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validate_model_data,
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validate_workspace_data,
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)
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__all__ = [
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"ConfigurationError",
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"InvalidConfigError",
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"MemoryConfig",
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"MemoryConfigValidation",
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"ModelInactiveError",
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"ModelNotFoundError",
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"ModelValidation",
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"WorkspaceNotFoundError",
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"WorkspaceValidation",
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"validate_memory_config_data",
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"validate_model_data",
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"validate_workspace_data",
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]
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