feat(ai): implement intelligent auto-tagging system
- Added multi-provider AI infrastructure (OpenAI/Ollama) - Implemented real-time tag suggestions with debounced analysis - Created AI diagnostics and database maintenance tools in Settings - Added automated garbage collection for orphan labels - Refined UX with deterministic color hashing and interactive ghost tags
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46
keep-notes/lib/ai/providers/openai.ts
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46
keep-notes/lib/ai/providers/openai.ts
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import { openai } from '@ai-sdk/openai';
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import { generateObject, embed } from 'ai';
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import { z } from 'zod';
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import { AIProvider, TagSuggestion } from '../types';
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export class OpenAIProvider implements AIProvider {
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private model: any;
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constructor(apiKey: string, modelName: string = 'gpt-4o-mini') {
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this.model = openai(modelName);
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}
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async generateTags(content: string): Promise<TagSuggestion[]> {
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try {
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const { object } = await generateObject({
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model: this.model,
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schema: z.object({
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tags: z.array(z.object({
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tag: z.string().describe('Le nom du tag, court et en minuscules'),
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confidence: z.number().min(0).max(1).describe('Le niveau de confiance entre 0 et 1')
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}))
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}),
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prompt: `Analyse la note suivante et suggère entre 1 et 5 tags pertinents.
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Contenu de la note: "${content}"`,
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});
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return object.tags;
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} catch (e) {
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console.error('Erreur génération tags OpenAI:', e);
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return [];
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}
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}
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async getEmbeddings(text: string): Promise<number[]> {
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try {
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const { embedding } = await embed({
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model: openai.embedding('text-embedding-3-small'),
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value: text,
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});
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return embedding;
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} catch (e) {
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console.error('Erreur embeddings OpenAI:', e);
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return [];
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}
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}
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}
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