FitSlot MCP Server

/** * OpenAI Service * Centralizes access to OpenAI models used by the FitSlot MCP server */ import OpenAI from 'openai'; import { logger } from '../utils/logger.js'; import { BioimpedanceData, SupportFAQ } from '../types/index.js'; export interface OpenAIServiceConfig { apiKey?: string; model?: string; organization?: string; project?: string; temperature?: number; maxTokens?: number; } export interface BioimpedanceInsightFallback { analysis: string; recommendations: string[]; } export class OpenAIService { private readonly client?: OpenAI; private readonly model: string; private readonly temperature: number; private readonly maxTokens: number; constructor(config: OpenAIServiceConfig) { this.model = config.model ?? 'gpt-4o-mini'; this.temperature = config.temperature ?? 0.2; this.maxTokens = config.maxTokens ?? 400; if (config.apiKey) { this.client = new OpenAI({ apiKey: config.apiKey, organization: config.organization, project: config.project }); logger.info('OpenAI service configured', { model: this.model, temperature: this.temperature, hasOrganization: !!config.organization, hasProject: !!config.project }); } else { logger.warn('OpenAI API key not provided. Falling back to local responses.'); } } /** * Indicates whether the OpenAI client is configured */ isConfigured(): boolean { return !!this.client; } /** * Generate a natural language support answer enriched by OpenAI */ async generateSupportAnswer(params: { query: string; relatedFAQs: SupportFAQ[]; suggestedActions: string[]; }): Promise<string | undefined> { if (!this.client) { return undefined; } try { const faqsSummary = params.relatedFAQs .map((faq, index) => `${index + 1}. Q: ${faq.question}\n A: ${faq.answer}`) .join('\n'); const completion = await this.client.chat.completions.create({ model: this.model, temperature: this.temperature, max_tokens: Math.min(this.maxTokens, 320), messages: [ { role: 'system', content: 'Você é um assistente de suporte do FitSlot. Responda em português brasileiro com objetividade e empatia. ' + 'Sugira próximos passos práticos usando no máximo 2 frases curtas.' }, { role: 'user', content: [ `Pergunta do usuário: ${params.query}`, params.relatedFAQs.length > 0 ? `FAQs relevantes:\n${faqsSummary}` : 'Nenhuma FAQ relevante encontrada.', params.suggestedActions.length > 0 ? `Ações sugeridas no app: ${params.suggestedActions.join(', ')}` : 'Sem ações sugeridas.' ].join('\n\n') } ] }); const aiMessage = completion.choices[0]?.message?.content?.trim(); return aiMessage || undefined; } catch (error) { logger.error('Failed to generate support answer with OpenAI', error); return undefined; } } /** * Generate analysis and recommendations for bioimpedance data using OpenAI */ async generateBioimpedanceInsights( data: Omit<BioimpedanceData, 'analysis' | 'recommendations'>, fallback: BioimpedanceInsightFallback ): Promise<BioimpedanceInsightFallback> { if (!this.client) { return fallback; } try { const completion = await this.client.chat.completions.create({ model: this.model, temperature: this.temperature, max_tokens: this.maxTokens, response_format: { type: 'json_object' }, messages: [ { role: 'system', content: 'Você é um especialista em nutrição e composição corporal. Gere uma análise personalizada em português ' + 'com base nos dados de bioimpedância e proponha até 5 recomendações práticas e seguras. ' + 'Responda em JSON com as chaves "analysis" (string) e "recommendations" (array de strings).' + 'Mantenha recomendações alinhadas às diretrizes da OMS e evite orientações médicas específicas.' }, { role: 'user', content: JSON.stringify({ dados: data, analise_base: fallback.analysis, recomendacoes_base: fallback.recommendations }) } ] }); const content = completion.choices[0]?.message?.content; if (!content) { return fallback; } const parsed = JSON.parse(content) as BioimpedanceInsightFallback; if (!parsed.analysis || !Array.isArray(parsed.recommendations)) { return fallback; } return { analysis: parsed.analysis, recommendations: parsed.recommendations }; } catch (error) { logger.error('Failed to generate bioimpedance insights with OpenAI', error); return fallback; } } }