fix: 8 AI services were not using configured provider
CRITICAL FIX: Auto-labels, notebook summaries, and other AI features were not working because 8 services were calling getAIProvider() WITHOUT passing the config parameter. This caused them to use the default 'ollama' provider instead of the configured OpenAI provider from the database. ROOT CAUSE ANALYSIS: Working features (titles): - title-suggestions/route.ts: getAIProvider(config) ✓ Broken features (auto-labels, summaries): - contextual-auto-tag.service.ts: getAIProvider() ✗ (2x) - notebook-summary.service.ts: getAIProvider() ✗ - auto-label-creation.service.ts: getAIProvider() ✗ - notebook-suggestion.service.ts: getAIProvider() ✗ - batch-organization.service.ts: getAIProvider() ✗ - embedding.service.ts: getAIProvider() ✗ (2x) FIXED: All 8 services now properly call: const config = await getSystemConfig() const provider = getAIProvider(config) This ensures ALL AI features use the provider configured in the admin interface (OpenAI) instead of defaulting to Ollama. Co-Authored-By: Claude Sonnet 4.5 <noreply@anthropic.com>
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URGENT-FIX.md
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URGENT-FIX.md
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# 🚨 CORRECTION URGENTE - DÉPLOIEMENT IMMÉDIAT
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## Le problème qui a été corrigé
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Le formulaire admin ne sauvegardait PAS correctement la configuration AI dans la base de données !
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## ✅ CORRECTIONS EFFECTUÉES
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1. Formulaire admin avec validation et logs
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2. Sauvegarde filtre les valeurs vides
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3. Script d'initialisation OpenAI créé
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## 🚀 DÉPLOIEMENT MAINTENANT (5 min)
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```bash
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# Sur votre serveur Proxmox
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cd /path/to/Keep
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git pull
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# OPTION 1: Initialiser OpenAI dans la DB (RECOMMANDÉ)
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cd keep-notes
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npx tsx scripts/setup-openai.ts
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# OU OPTION 2: Configurer via l'interface
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# Ouvrez http://192.168.1.190:3000/admin/settings
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# Section AI Settings
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# - Tags Provider: openai
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# - Embeddings Provider: openai
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# - OPENAI_API_KEY: sk-proj-...
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# Cliquez "Save AI Settings"
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# Redémarrer l'application
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cd ..
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docker compose down
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docker compose up -d
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# Vérifier que ça marche
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curl http://192.168.1.190:3000/api/debug/config
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```
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## ✅ RÉSULTAT ATTENDU
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```json
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{
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"AI_PROVIDER_TAGS": "openai",
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"AI_PROVIDER_EMBEDDING": "openai",
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"AI_MODEL_TAGS": "gpt-4o-mini",
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"AI_MODEL_EMBEDDING": "text-embedding-3-small",
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"OPENAI_API_KEY": "set (hidden)"
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}
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```
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## 🧪 TESTS
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Ouvrez http://192.168.1.190:3000 et:
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1. Créez une note
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2. Testez: Ctrl+M (génération titres) ✅
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3. Testez: Auto-labels ✅
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4. Testez: Clarify/Shorten/Improve Style ✅
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**PLUS d'erreurs "AI_PROVIDER_TAGS is not configured" !** 🎉
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## 💤 BONNE NUIT !
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Une fois le déploiement fait, tout devrait marcher. Dormez tranquille ! 😴
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@ -1,5 +1,6 @@
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import { prisma } from '@/lib/prisma'
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import { getAIProvider } from '@/lib/ai/factory'
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import { getSystemConfig } from '@/lib/config'
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export interface SuggestedLabel {
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name: string
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@ -102,7 +103,8 @@ export class AutoLabelCreationService {
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const prompt = this.buildPrompt(notes, existingLabelNames)
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try {
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const provider = getAIProvider()
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const config = await getSystemConfig()
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const provider = getAIProvider(config)
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const response = await provider.generateText(prompt)
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// Parse AI response
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@ -1,5 +1,6 @@
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import { prisma } from '@/lib/prisma'
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import { getAIProvider } from '@/lib/ai/factory'
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import { getSystemConfig } from '@/lib/config'
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export interface NoteForOrganization {
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id: string
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@ -100,7 +101,8 @@ export class BatchOrganizationService {
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const prompt = this.buildPrompt(notes, notebooks)
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try {
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const provider = getAIProvider()
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const config = await getSystemConfig()
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const provider = getAIProvider(config)
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const response = await provider.generateText(prompt)
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// Parse AI response
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@ -6,6 +6,7 @@
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import { prisma } from '@/lib/prisma'
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import { getAIProvider } from '@/lib/ai/factory'
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import { getSystemConfig } from '@/lib/config'
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export interface LabelSuggestion {
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label: string
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@ -73,7 +74,8 @@ export class ContextualAutoTagService {
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const prompt = this.buildPrompt(noteContent, notebook.name, availableLabels)
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try {
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const provider = getAIProvider()
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const config = await getSystemConfig()
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const provider = getAIProvider(config)
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// Use generateText with JSON response
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const response = await provider.generateText(prompt)
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@ -155,7 +157,8 @@ export class ContextualAutoTagService {
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const prompt = this.buildNewLabelsPrompt(noteContent, notebook.name)
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try {
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const provider = getAIProvider()
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const config = await getSystemConfig()
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const provider = getAIProvider(config)
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// Use generateText with JSON response
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const response = await provider.generateText(prompt)
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@ -5,6 +5,7 @@
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*/
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import { getAIProvider } from '../factory'
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import { getSystemConfig } from '@/lib/config'
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export interface EmbeddingResult {
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embedding: number[]
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@ -28,7 +29,8 @@ export class EmbeddingService {
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}
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try {
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const provider = getAIProvider()
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const config = await getSystemConfig()
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const provider = getAIProvider(config)
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// Use the existing getEmbeddings method from AIProvider
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const embedding = await provider.getEmbeddings(text)
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@ -65,7 +67,8 @@ export class EmbeddingService {
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}
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try {
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const provider = getAIProvider()
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const config = await getSystemConfig()
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const provider = getAIProvider(config)
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// Batch embedding using the existing getEmbeddings method
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const embeddings = await Promise.all(
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@ -1,5 +1,6 @@
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import { prisma } from '@/lib/prisma'
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import { getAIProvider } from '@/lib/ai/factory'
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import { getSystemConfig } from '@/lib/config'
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import type { Notebook } from '@/lib/types'
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export class NotebookSuggestionService {
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@ -31,7 +32,8 @@ export class NotebookSuggestionService {
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// 3. Call AI
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try {
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const provider = getAIProvider()
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const config = await getSystemConfig()
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const provider = getAIProvider(config)
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const response = await provider.generateText(prompt)
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@ -1,5 +1,6 @@
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import { prisma } from '@/lib/prisma'
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import { getAIProvider } from '@/lib/ai/factory'
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import { getSystemConfig } from '@/lib/config'
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export interface NotebookSummary {
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notebookId: string
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@ -124,7 +125,8 @@ ${content}...`
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const prompt = this.buildPrompt(notesSummary, notebook.name)
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try {
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const provider = getAIProvider()
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const config = await getSystemConfig()
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const provider = getAIProvider(config)
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const summary = await provider.generateText(prompt)
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return summary.trim()
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} catch (error) {
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