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This commit is contained in:
Timo Knuth
@@ -0,0 +1,94 @@
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import { NextResponse } from 'next/server'
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import OpenAI from 'openai'
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type LlmProvider = 'openai' | 'openrouter'
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function getProvider(): LlmProvider {
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const configured = (process.env.LLM_PROVIDER ?? '').toLowerCase()
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if (configured === 'openrouter') return 'openrouter'
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if (configured === 'openai') return 'openai'
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return process.env.OPENROUTER_API_KEY ? 'openrouter' : 'openai'
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}
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function createClient(provider: LlmProvider) {
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if (provider === 'openrouter') {
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const apiKey = process.env.OPENROUTER_API_KEY || ''
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return new OpenAI({
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apiKey,
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baseURL: process.env.OPENROUTER_BASE_URL || 'https://openrouter.ai/api/v1',
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defaultHeaders: {
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...(process.env.OPENROUTER_SITE_URL
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? { 'HTTP-Referer': process.env.OPENROUTER_SITE_URL }
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: {}),
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...(process.env.OPENROUTER_APP_NAME
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? { 'X-Title': process.env.OPENROUTER_APP_NAME }
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: {}),
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},
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})
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}
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return new OpenAI({
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apiKey: process.env.OPENAI_API_KEY || '',
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})
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}
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function getModel(provider: LlmProvider): string {
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if (provider === 'openrouter') {
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return process.env.OPENROUTER_MODEL || 'minimax/minimax-m2.5'
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}
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return process.env.OPENAI_MODEL || 'gpt-4o-mini'
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}
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export async function POST(req: Request) {
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try {
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const body = await req.json()
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const { orgName, context } = body
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if (!orgName || !context) {
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return NextResponse.json({ error: 'orgName and context are required' }, { status: 400 })
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}
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const provider = getProvider()
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const client = createClient(provider)
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const model = getModel(provider)
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const systemMessage = `Sie sind ein professioneller Copywriter für eine moderne deutsche Innung oder Kreishandwerkerschaft.
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Erstellen Sie eine moderne, ansprechende Überschrift (Heading) und einen Einleitungstext für eine Landingpage.
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WICHTIG: Geben Sie AUSSCHLIESSLICH ein valides JSON-Objekt zurück, komplett ohne Markdown-Formatierung (kein \`\`\`json ... \`\`\`), in dieser Struktur:
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{
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"title": "Eine moderne, ansprechende Überschrift (max. 6-8 Wörter)",
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"text": "Ein überzeugender Einleitungstext, der erklärt, wofür die Organisation steht, fokussiert auf die Region und den Kontext (max. 3-4 Sätze)."
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}`
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const userMessage = `Name der Organisation: ${orgName}\nZusätzliche Stichpunkte vom Benutzer:\n${context}`
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const completion = await client.chat.completions.create({
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model,
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messages: [
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{ role: 'system', content: systemMessage },
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{ role: 'user', content: userMessage },
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],
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// some openrouter models ignore response_format, so doing it purely by prompt
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temperature: 0.7
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})
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let textResponse = completion.choices[0]?.message?.content || ''
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// safely remove potential markdown blocks just in case
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textResponse = textResponse.trim()
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if (textResponse.startsWith('```json')) {
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textResponse = textResponse.replace(/^```json\n?/, '').replace(/\n?```$/, '').trim()
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} else if (textResponse.startsWith('```')) {
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textResponse = textResponse.replace(/^```\n?/, '').replace(/\n?```$/, '').trim()
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}
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const result = JSON.parse(textResponse)
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return NextResponse.json(result)
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} catch (error: any) {
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console.error('Error generating AI landing page content:', error)
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return NextResponse.json({ error: error?.message || 'Failed to generate content' }, { status: 500 })
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}
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}
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160
innungsapp/apps/admin/app/api/ai/generate/route.ts
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160
innungsapp/apps/admin/app/api/ai/generate/route.ts
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@@ -0,0 +1,160 @@
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import { NextResponse } from 'next/server'
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import OpenAI from 'openai'
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type LlmProvider = 'openai' | 'openrouter'
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function getProvider(): LlmProvider {
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const configured = (process.env.LLM_PROVIDER ?? '').toLowerCase()
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if (configured === 'openrouter') return 'openrouter'
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if (configured === 'openai') return 'openai'
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return process.env.OPENROUTER_API_KEY ? 'openrouter' : 'openai'
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}
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function createClient(provider: LlmProvider) {
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if (provider === 'openrouter') {
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const apiKey = process.env.OPENROUTER_API_KEY || ''
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return new OpenAI({
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apiKey,
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baseURL: process.env.OPENROUTER_BASE_URL || 'https://openrouter.ai/api/v1',
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defaultHeaders: {
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...(process.env.OPENROUTER_SITE_URL
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? { 'HTTP-Referer': process.env.OPENROUTER_SITE_URL }
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: {}),
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...(process.env.OPENROUTER_APP_NAME
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? { 'X-Title': process.env.OPENROUTER_APP_NAME }
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: {}),
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},
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})
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}
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return new OpenAI({
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apiKey: process.env.OPENAI_API_KEY || '',
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})
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}
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function getModel(provider: LlmProvider): string {
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if (provider === 'openrouter') {
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return process.env.OPENROUTER_MODEL || 'minimax/minimax-m2.5'
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}
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return process.env.OPENAI_MODEL || 'gpt-5-mini'
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}
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function hasApiKey(provider: LlmProvider): boolean {
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if (provider === 'openrouter') return !!process.env.OPENROUTER_API_KEY
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return !!process.env.OPENAI_API_KEY
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}
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async function generateText({
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provider,
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model,
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systemMessage,
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prompt,
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}: {
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provider: LlmProvider
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model: string
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systemMessage: string
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prompt: string
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}) {
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const client = createClient(provider)
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const completion = await client.chat.completions.create({
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model,
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messages: [
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{ role: 'system', content: systemMessage },
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{ role: 'user', content: prompt },
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],
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})
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return completion.choices[0]?.message?.content || ''
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}
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export async function POST(req: Request) {
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try {
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const { prompt, type, format } = await req.json()
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const primaryProvider = getProvider()
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const primaryModel = getModel(primaryProvider)
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if (!prompt) {
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return NextResponse.json({ error: 'Prompt is required' }, { status: 400 })
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}
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let systemMessage = ''
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if (type === 'news') {
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systemMessage = `Du bist ein erfahrener Newsletter- und PR-Experte für eine Innung (Handwerksverband).
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Deine Aufgabe ist es, professionelle, ansprechende und informative News-Beiträge zu schreiben.
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Achte auf eine klare Struktur, eine einladende Tonalität und hohe inhaltliche Qualität.
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Das gewünschte Ausgabeformat ist: ${format === 'markdown' ? 'Markdown' : 'Einfacher unformatierter Text'}.`
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} else if (type === 'stelle') {
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systemMessage = `Du bist ein erfahrener HR- und Recruiting-Experte für das Handwerk.
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Deine Aufgabe ist es, attraktive und präzise Stellenanzeigen (Lehrlingsbörse / Jobbörse) zu verfassen.
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Die Stellenanzeige soll Begeisterung wecken und klar die Aufgaben sowie Anforderungen kommunizieren.
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Das gewünschte Ausgabeformat ist: ${format === 'markdown' ? 'Markdown' : 'Einfacher unformatierter Text'}.`
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} else {
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systemMessage = `Du bist ein hilfreicher KI-Assistent. Antworte immer auf Deutsch.`
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}
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const attempts: Array<{ provider: LlmProvider; model: string; reason: string }> = []
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if (hasApiKey(primaryProvider)) {
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attempts.push({
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provider: primaryProvider,
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model: primaryModel,
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reason: 'primary',
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})
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}
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// Fallback requested: if primary fails, try OpenAI GPT-5 mini when OPENAI_API_KEY is present.
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if (primaryProvider !== 'openai' && hasApiKey('openai')) {
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attempts.push({
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provider: 'openai',
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model: 'gpt-5-mini',
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reason: 'fallback_openai',
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})
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}
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if (attempts.length === 0) {
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return NextResponse.json(
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{ error: 'No AI provider key configured (OPENROUTER_API_KEY or OPENAI_API_KEY).' },
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{ status: 500 }
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)
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}
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let lastError: any = null
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for (const attempt of attempts) {
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try {
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const text = await generateText({
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provider: attempt.provider,
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model: attempt.model,
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systemMessage,
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prompt,
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})
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return NextResponse.json({
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text,
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provider: attempt.provider,
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model: attempt.model,
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fallbackUsed: attempt.reason !== 'primary',
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})
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} catch (error: any) {
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lastError = error
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console.error('AI attempt failed:', {
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provider: attempt.provider,
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model: attempt.model,
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message: error?.message,
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})
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}
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}
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return NextResponse.json(
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{ error: lastError?.message || 'All AI providers failed' },
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{ status: 500 }
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)
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} catch (error: any) {
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console.error('AI Generate Error:', error)
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return NextResponse.json(
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{ error: error?.message || 'Internal Server Error' },
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{ status: 500 }
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)
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}
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}
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