@codai/cbd
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Codai Better Database - High-Performance Vector Memory System with HPKV-inspired architecture and MCP server
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TypeScript
/**
* AI Services Orchestrator - Phase 3: AI Integration & Enterprise Superiority
* Consolidates Multi-Cloud AI Services with Superior Performance
*
* Features:
* - Superior Machine Learning exceeding AWS SageMaker/Azure ML/GCP AI Platform
* - Advanced Natural Language Processing with multi-language support
* - Intelligent Query Optimization with adaptive learning
* - Unified Document Intelligence across all formats
* - Real-time AI Analytics and Insights
*/
import { EventEmitter } from 'events';
import { IntelligentCloudSelector, CloudProvider } from '../cloud/IntelligentCloudSelector';
import { MultiCloudConfiguration } from '../cloud/MultiCloudConfiguration';
export interface AIServiceRequest {
id: string;
type: 'ml_training' | 'nlp_processing' | 'document_intelligence' | 'query_optimization' | 'analytics';
priority: 'low' | 'medium' | 'high' | 'critical';
data: any;
requirements: {
computeIntensive?: boolean;
latencySensitive?: boolean;
dataPrivacy?: boolean;
costOptimized?: boolean;
multiRegion?: boolean;
};
metadata: {
userId?: string;
sessionId?: string;
timestamp: Date;
source: string;
};
}
export interface AIServiceResponse {
id: string;
status: 'success' | 'error' | 'partial';
result: any;
confidence: number;
processingTime: number;
provider: CloudProvider;
metadata: {
model: string;
version: string;
resources: {
cpu: number;
memory: number;
gpu?: number;
};
cost: number;
};
}
export interface MLModel {
id: string;
name: string;
type: 'classification' | 'regression' | 'clustering' | 'nlp' | 'computer_vision' | 'recommendation';
status: 'training' | 'ready' | 'deployed' | 'deprecated';
provider: CloudProvider;
performance: {
accuracy: number;
latency: number;
throughput: number;
cost: number;
};
configuration: {
hyperparameters: Record<string, any>;
features: string[];
targetVariable?: string;
};
deployment: {
endpoint: string;
instances: number;
autoScaling: boolean;
region: string;
};
}
export interface NLPCapabilities {
sentimentAnalysis: boolean;
entityExtraction: boolean;
languageDetection: boolean;
translation: boolean;
summarization: boolean;
questionAnswering: boolean;
textGeneration: boolean;
embeddings: boolean;
conversational: boolean;
}
export interface DocumentIntelligence {
ocrCapabilities: string[];
supportedFormats: string[];
extractionTypes: string[];
classificationModels: string[];
workflows: DocumentWorkflow[];
}
export interface DocumentWorkflow {
id: string;
name: string;
steps: DocumentProcessingStep[];
triggers: string[];
outputs: string[];
}
export interface DocumentProcessingStep {
id: string;
type: 'extract' | 'classify' | 'validate' | 'transform' | 'enrich';
configuration: Record<string, any>;
dependencies: string[];
}
export declare class AIServicesOrchestrator extends EventEmitter {
private cloudSelector;
private config;
private activeRequests;
private mlModels;
private nlpCapabilities;
private documentIntelligence;
private performanceCache;
private queryOptimizer;
constructor(cloudSelector: IntelligentCloudSelector, config: MultiCloudConfiguration);
/**
* Initialize all AI services across cloud providers
*/
private initializeAIServices;
/**
* Process AI service request with intelligent provider selection
*/
processAIRequest(request: AIServiceRequest): Promise<AIServiceResponse>;
/**
* Select optimal cloud provider for AI request
*/
private selectOptimalProvider;
/**
* Process Machine Learning training requests
*/
private processMLTraining;
/**
* Process Natural Language Processing requests
*/
private processNLP;
/**
* Process Document Intelligence requests
*/
private processDocumentIntelligence;
/**
* Process Query Optimization requests
*/
private processQueryOptimization;
/**
* Process Analytics requests
*/
private processAnalytics;
/**
* Initialize NLP capabilities for each provider
*/
private initializeNLPCapabilities;
/**
* Initialize Document Intelligence capabilities
*/
private initializeDocumentIntelligence;
/**
* Load existing ML models
*/
private loadMLModels;
/**
* Start performance monitoring
*/
private startPerformanceMonitoring;
/**
* Collect performance metrics from all providers
*/
private collectPerformanceMetrics;
private estimateWorkloadSize;
private estimateDuration;
private assessComplexity;
private inferModelType;
private detectDocumentFormat;
private calculateCost;
/**
* Get AI service statistics
*/
getStats(): any;
/**
* Get health status
*/
getHealth(): any;
}
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