defect-inspection-tools-mcp-server/dist/utils/llm.d.ts

Defect inspection tools server handling defect detection, analysis, and reporting with AI/ML capabilities for quality control

import { ExternalApiService } from '../services/external-api-service.js';
export interface LLMMessage {
    role: 'user' | 'assistant' | 'system';
    content: string;
}
export interface LLMResponse {
    content: string;
    usage?: {
        promptTokens: number;
        completionTokens: number;
        totalTokens: number;
    };
    metadata?: {
        model: string;
        finishReason: string;
        responseTime: number;
    };
}
export interface LLMOptions {
    temperature?: number;
    maxTokens?: number;
    topP?: number;
    frequencyPenalty?: number;
    presencePenalty?: number;
    stop?: string[];
    stream?: boolean;
}
export declare class LLMService {
    private static readonly DEFAULT_OPTIONS;
    private openaiService;
    private perplexityService;
    private cohereService;
    constructor(openaiService: ExternalApiService, perplexityService?: ExternalApiService, cohereService?: ExternalApiService);
    chatCompletion(messages: LLMMessage[], model?: string, options?: LLMOptions): Promise<LLMResponse>;
    perplexityCompletion(messages: LLMMessage[], model?: string, options?: LLMOptions): Promise<LLMResponse>;
    cohereCompletion(prompt: string, model?: string, options?: LLMOptions): Promise<LLMResponse>;
    analyzeMaritimeDefect(defectData: any, analysisType?: 'severity' | 'root_cause' | 'recommendation' | 'compliance'): Promise<LLMResponse>;
    generateComplianceReport(vesselData: any, inspectionData: any, reportType?: 'SIRE' | 'CDI' | 'PSC' | 'TMSA'): Promise<LLMResponse>;
    searchAugmentedQuery(query: string, context?: string[]): Promise<LLMResponse>;
    private getMaritimeSystemPrompt;
    private getComplianceSystemPrompt;
    private formatDefectDataForAnalysis;
    private formatComplianceDataForReport;
}