fix(drafting): Drafting-Engine auf prod reparieren — RAG via ai-sdk + OVH-LLM-Kaskade
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Die Drafting-Engine (Dokument-Entwurf, v2-Pipeline, Validierung, Drafting-Chat, Vendor-Vertragspruefung) war auf prod doppelt tot: - RAG ueber bp-core-rag-service:8097 (existiert auf prod nicht) - LLM ueber OLLAMA_URL/api/chat mit qwen2.5vl (prod = ollama-embed, kein Chat-Modell) Fix (analog zum Compliance-Advisor): - rag-query.ts -> ai-compliance-sdk /sdk/v1/rag/search (bge-m3, prod-erreichbar). - Neue lib/sdk/drafting-engine/llm-cascade.ts: OVH/LiteLLM (gpt-oss-120b) zuerst, Ollama als Dev-Fallback; cascadeComplete (JSON) + cascadeStream. Das Backend nutzt OVH+JSON bereits erfolgreich auf prod (extract-datasheet). - 5 Aufrufstellen (draft-helpers, draft-helpers-v2, validate, chat, vendor-review) auf die Kaskade umgestellt; keine direkten Ollama-Calls mehr. - Tests: llm-cascade + rag-query aktualisiert. Co-Authored-By: Claude Opus 4.7 <noreply@anthropic.com>
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@@ -17,6 +17,7 @@ import { executeRepairLoop, type ProseBlockOutput, type RepairAudit } from '@/li
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import { computeChecksumSync, type CacheKeyParams } from '@/lib/sdk/drafting-engine/cache'
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import { queryRAG } from '@/lib/sdk/drafting-engine/rag-query'
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import { DOCUMENT_RAG_CONFIG } from '@/lib/sdk/drafting-engine/rag-config'
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import { cascadeComplete } from '@/lib/sdk/drafting-engine/llm-cascade'
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import {
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constraintEnforcer,
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proseCache,
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@@ -27,7 +28,6 @@ import {
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buildPromptForDocumentType,
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} from './draft-helpers'
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const OLLAMA_URL = process.env.OLLAMA_URL || 'http://host.docker.internal:11434'
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const LLM_MODEL = process.env.COMPLIANCE_LLM_MODEL || 'qwen2.5vl:32b'
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// ============================================================================
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@@ -171,29 +171,15 @@ Keine neuen Fakten erfinden — nur das Profil wuerdigen.`
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}
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export async function callOllama(systemPrompt: string, userPrompt: string): Promise<string> {
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const response = await fetch(`${OLLAMA_URL}/api/chat`, {
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method: 'POST',
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headers: { 'Content-Type': 'application/json' },
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body: JSON.stringify({
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model: LLM_MODEL,
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messages: [
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{ role: 'system', content: systemPrompt },
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{ role: 'user', content: userPrompt },
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],
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stream: false,
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think: false,
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options: { temperature: 0.15, num_predict: 4096, num_ctx: 8192 },
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format: 'json',
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}),
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signal: AbortSignal.timeout(120000),
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})
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if (!response.ok) {
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throw new Error(`Ollama error: ${response.status}`)
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}
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const result = await response.json()
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return result.message?.content || ''
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const llm = await cascadeComplete(
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[
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{ role: 'system', content: systemPrompt },
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{ role: 'user', content: userPrompt },
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],
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{ json: true, temperature: 0.15, maxTokens: 8192, timeoutMs: 120000 },
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)
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if (!llm) throw new Error('LLM nicht erreichbar (weder OVH noch Ollama)')
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return llm.content
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}
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export async function handleV2Draft(body: Record<string, unknown>): Promise<NextResponse> {
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