feat: add docs chat api
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137
app/api/docs/chat/route.ts
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137
app/api/docs/chat/route.ts
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@@ -0,0 +1,137 @@
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import { NextRequest, NextResponse } from 'next/server'
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import { z } from 'zod'
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import { getSession } from '@/lib/auth/server'
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import { detectCategories } from '@/lib/docs/category-detector'
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import { loadKnowledgeSections } from '@/lib/docs/knowledge-loader'
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import { buildSystemPrompt } from '@/lib/docs/prompt-builder'
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const DOCS_ASSISTANT_MODEL = process.env.DOCS_ASSISTANT_MODEL ?? 'claude-3-5-sonnet-20240620'
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const MAX_HISTORY_MESSAGES = 10
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const MAX_USER_MESSAGE_LENGTH = 2000
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const ChatMessageSchema = z.object({
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role: z.enum(['user', 'assistant']),
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content: z.string().min(1).max(4000),
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})
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const RequestSchema = z.object({
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messages: z.array(ChatMessageSchema).optional(),
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userMessage: z.string().min(1).max(MAX_USER_MESSAGE_LENGTH),
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})
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type ChatMessage = z.infer<typeof ChatMessageSchema>
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export async function POST(request: NextRequest) {
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try {
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const session = await getSession()
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if (!session) {
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return NextResponse.json({ error: 'Niet geauthenticeerd' }, { status: 401 })
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}
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const json = await request.json()
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const parsed = RequestSchema.safeParse(json)
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if (!parsed.success) {
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return NextResponse.json(
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{
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error: 'Validatiefout',
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details: parsed.error.issues.map(issue => ({
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field: issue.path.join('.') || 'userMessage',
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message: issue.message,
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})),
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},
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{ status: 400 }
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)
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}
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const rawUserMessage = parsed.data.userMessage.trim()
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if (!rawUserMessage) {
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return NextResponse.json(
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{ error: 'Vraag mag niet leeg zijn' },
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{ status: 400 }
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)
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}
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const history = (parsed.data.messages ?? [])
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.map(normalizeMessage)
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.filter((message): message is ChatMessage => Boolean(message))
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.slice(-MAX_HISTORY_MESSAGES)
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const conversation: ChatMessage[] = [...history, { role: 'user', content: rawUserMessage }]
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const categories = detectCategories(rawUserMessage)
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const knowledgeSections = await loadKnowledgeSections(categories)
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const systemPrompt = buildSystemPrompt(knowledgeSections)
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const apiKey = process.env.ANTHROPIC_API_KEY
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if (!apiKey) {
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return NextResponse.json(
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{ error: 'ANTHROPIC_API_KEY ontbreekt' },
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{ status: 500 }
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)
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}
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const anthropicResponse = await fetch('https://api.anthropic.com/v1/messages', {
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method: 'POST',
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headers: {
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'Content-Type': 'application/json',
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'x-api-key': apiKey,
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'anthropic-version': '2023-06-01',
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Accept: 'text/event-stream',
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},
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body: JSON.stringify({
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model: DOCS_ASSISTANT_MODEL,
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max_tokens: 1024,
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temperature: 0.2,
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stream: true,
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system: systemPrompt,
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messages: conversation,
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}),
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signal: request.signal,
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})
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if (!anthropicResponse.ok || !anthropicResponse.body) {
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const errorText = await anthropicResponse.text().catch(() => undefined)
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return NextResponse.json(
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{
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error: 'Claude API error',
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details: errorText ?? anthropicResponse.statusText,
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},
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{ status: anthropicResponse.status || 500 }
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)
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}
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const headers = new Headers({
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'Content-Type': 'text/event-stream',
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'Cache-Control': 'no-cache, no-store, no-transform',
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Connection: 'keep-alive',
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})
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return new Response(anthropicResponse.body, {
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status: 200,
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headers,
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})
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} catch (error) {
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if (error instanceof SyntaxError) {
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return NextResponse.json({ error: 'Ongeldige JSON payload' }, { status: 400 })
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}
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console.error('Docs chat endpoint error:', error)
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return NextResponse.json(
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{ error: 'Onverwachte serverfout' },
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{ status: 500 }
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)
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}
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}
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function normalizeMessage(message: ChatMessage): ChatMessage | null {
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if (!message?.content) return null
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const trimmed = message.content.trim()
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if (!trimmed) return null
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return {
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role: message.role,
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content: trimmed.slice(0, 4000),
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}
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}
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