Dynamic Per-User Tool Generation MCP Server

""" Slot Resolution System A modular, scalable system for resolving entity names to IDs using Elasticsearch. Supports multiple modules (request, problem, change, etc.) with configurable field mappings and contextual filters. Architecture: - Configuration Layer: Field mappings and entity configurations - Core Layer: Normalization, resolution engine, decisioning logic - Services Layer: Exact match, alias, ES fuzzy match, cache, audit - Middleware Layer: Request transformation and orchestration Usage: from slot_resolution import SlotResolutionMiddleware middleware = SlotResolutionMiddleware(tenant_id="apolo") result = middleware.resolve_request(request_payload, module="request") """ __version__ = "1.0.0" __author__ = "Motadata ITSM Team" from slot_resolution.core.models import ( SlotResolutionRequest, SlotResolutionResponse, ResolutionStatus, ResolvedEntity, Candidate ) from slot_resolution.core.resolver import SlotResolver from slot_resolution.middleware.slot_resolution_middleware import SlotResolutionMiddleware from slot_resolution.config.config_loader import FieldMappingLoader __all__ = [ "SlotResolutionRequest", "SlotResolutionResponse", "ResolutionStatus", "ResolvedEntity", "Candidate", "SlotResolver", "SlotResolutionMiddleware", "FieldMappingLoader", ]