139 lines
5.2 KiB
TypeScript
139 lines
5.2 KiB
TypeScript
/**
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* XFlow AI Utility — OpenRouter & Google Gemini Integration (Updated for May 2026 Models)
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*/
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const OPENROUTER_BASE_URL = 'https://openrouter.ai/api/v1/chat/completions'
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/** Доступные модели с описанием для выбора в UI */
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export const AI_MODELS = {
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/** Сложные инженерные и архитектурные задачи, высокая стабильность */
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laguna: 'poolside/laguna-m.1:free',
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/** MoE 120B тяжёлая аналитика, архитектурный анализ, сложные рассуждения */
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nemotron: 'nvidia/nemotron-3-super-120b-a12b:free',
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/** Прямой вызов Gemini 3.5 Flash */
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geminiFlash: 'gemini-3.5-flash',
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/** Прямой вызов Gemini 3.1 Pro Preview */
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geminiPro: 'gemini-3.1-pro-preview',
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/** Прямой вызов Gemini 3.1 Flash Lite */
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geminiLite: 'gemini-3.1-flash-lite'
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} as const
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export type AiModelKey = keyof typeof AI_MODELS
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/** Дефолтная модель, если не указана */
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const DEFAULT_MODEL: AiModelKey = 'geminiFlash'
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export const generateAIResponse = async (
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prompt: string,
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systemPrompt = 'You are a helpful assistant.',
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modelKey?: AiModelKey | string,
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): Promise<string> => {
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// Получаем ключи из окружения
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const openRouterKey = process.env.NUXT_OPEN_ROUTER_API_KEY || process.env.OPEN_ROUTER_API_KEY
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const geminiKey = process.env.GEMINI_API_KEY || process.env.NUXT_GEMINI_API_KEY || process.env.GOOGLE_API_KEY
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// Резолвим модель: принимаем как ключ ('laguna') так и полное имя
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const resolvedModel: string =
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modelKey && modelKey in AI_MODELS
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? AI_MODELS[modelKey as AiModelKey]
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: modelKey && (modelKey.includes('/') || modelKey.startsWith('gemini'))
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? modelKey
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: AI_MODELS[DEFAULT_MODEL]
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// Определяем, использовать ли Gemini напрямую
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const useGeminiDirect = resolvedModel.startsWith('gemini') || (!openRouterKey && geminiKey)
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if (useGeminiDirect) {
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if (!geminiKey) {
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throw new Error('Gemini API key (GEMINI_API_KEY or GOOGLE_API_KEY) is not configured')
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}
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const geminiModel = resolvedModel.startsWith('gemini') ? resolvedModel : 'gemini-3.5-flash'
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console.log(`[AI] Direct Google Gemini call: ${geminiModel}`)
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try {
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const url = `https://generativelanguage.googleapis.com/v1beta/models/${geminiModel}:generateContent?key=${geminiKey}`
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const response = await $fetch<any>(url, {
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method: 'POST',
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headers: {
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'Content-Type': 'application/json'
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},
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body: {
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contents: [
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{
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role: 'user',
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parts: [{ text: prompt }]
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}
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],
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systemInstruction: {
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parts: [{ text: systemPrompt }]
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},
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generationConfig: {
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temperature: 0.3
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}
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}
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})
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const content = response?.candidates?.[0]?.content?.parts?.[0]?.text
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if (!content) {
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throw new Error('Empty response from Gemini API')
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}
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return content
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} catch (error: any) {
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console.error(`[AI] Gemini direct error:`, error?.data || error?.message)
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throw new Error(`Gemini direct generation failed: ${error?.message || error?.toString()}`)
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}
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}
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// Иначе используем OpenRouter
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if (!openRouterKey) {
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throw new Error('Neither OPEN_ROUTER_API_KEY nor GEMINI_API_KEY is configured')
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}
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console.log(`[AI] OpenRouter call: ${resolvedModel}`)
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try {
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const response = await $fetch<any>(OPENROUTER_BASE_URL, {
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method: 'POST',
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headers: {
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'Authorization': `Bearer ${openRouterKey}`,
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'Content-Type': 'application/json',
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'HTTP-Referer': 'https://a-crm.controlsystem.kz',
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'X-Title': 'XFlow AI Node',
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},
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body: {
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model: resolvedModel,
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messages: [
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{ role: 'system', content: systemPrompt },
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{ role: 'user', content: prompt },
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],
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stream: false,
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},
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})
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const content = response?.choices?.[0]?.message?.content
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if (!content) {
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throw new Error('Empty response from OpenRouter model')
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}
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return content
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} catch (error: any) {
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console.error(`[AI] OpenRouter error with model ${resolvedModel}:`, error?.data || error?.message)
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throw new Error(`OpenRouter generation failed (${resolvedModel}): ${error?.message}`)
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}
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}
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/** Хелпер: список моделей для фронтенда */
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export const getAvailableModels = () =>
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Object.entries(AI_MODELS).map(([key, modelId]) => ({
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key,
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modelId,
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label: modelLabels[key as AiModelKey],
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}))
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const modelLabels: Record<AiModelKey, string> = {
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laguna: '🏊 Laguna M.1 — стабильная инженерная (Claude via OpenRouter)',
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nemotron: '🔬 Nemotron Super 120B — тяжёлая аналитика (NVIDIA via OpenRouter)',
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geminiFlash: '⚡ Gemini 3.5 Flash — быстрая и стабильная (Google Direct)',
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geminiPro: '🧠 Gemini 3.1 Pro — продвинутая аналитика (Google Direct)',
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geminiLite: '🍃 Gemini 3.1 Flash Lite — экономичная (Google Direct)'
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}
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