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E-commerce Local MCP Server

__init__.py1.68 kB
""" Prompt Enhancement System A modular, AI-driven system for enhancing user queries in e-commerce applications. Provides intelligent query transformation to improve intent classification and response quality. Main Components: - EnhancementService: High-level service interface - EnhancementOrchestrator: Main coordination logic - AIPromptEnhancer: AI-driven enhancement engine - IntelligentQueryAnalyzer: Query complexity analysis - RedisEnhancementCache: Performance caching layer Usage: from src.services.prompt_enhancement import EnhancementService # Initialize with your model manager enhancement_service = EnhancementService(model_manager) # Enhance a query result = await enhancement_service.enhance_query("show products") print(result["enhanced_query"]) # "show me available products in inventory catalog" """ from .factory import EnhancementService, EnhancementFactory from .orchestrator import EnhancementOrchestrator from .models import ( EnhancementRequest, EnhancementResult, EnhancementContext, EnhancementMethod, QueryComplexity, EnhancementLevel, EnhancementMetrics ) # Main exports __all__ = [ # Main service interface "EnhancementService", # Core components "EnhancementFactory", "EnhancementOrchestrator", # Data models "EnhancementRequest", "EnhancementResult", "EnhancementContext", "EnhancementMetrics", # Enums "EnhancementMethod", "QueryComplexity", "EnhancementLevel" ] # Version information __version__ = "1.0.0" __author__ = "E-commerce AI Team" __description__ = "AI-powered prompt enhancement system for e-commerce applications"

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