- Add AI Provider Testing page (/admin/ai-test) with Tags and Embeddings tests - Add new AI providers: CustomOpenAI, DeepSeek, OpenRouter - Add API routes for AI config, models listing, and testing endpoints - Add UX Design Specification document for Phase 1 MVP AI - Add PRD Phase 1 MVP AI planning document - Update admin settings and sidebar navigation - Fix AI factory for multi-provider support
55 lines
1.6 KiB
TypeScript
55 lines
1.6 KiB
TypeScript
import { createOpenAI } 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 DeepSeekProvider implements AIProvider {
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private model: any;
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private embeddingModel: any;
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constructor(apiKey: string, modelName: string = 'deepseek-chat', embeddingModelName: string = 'deepseek-embedding') {
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// Create OpenAI-compatible client for DeepSeek
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const deepseek = createOpenAI({
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baseURL: 'https://api.deepseek.com/v1',
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apiKey: apiKey,
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});
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this.model = deepseek(modelName);
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this.embeddingModel = deepseek.embedding(embeddingModelName);
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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 DeepSeek:', 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: this.embeddingModel,
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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 DeepSeek:', e);
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return [];
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}
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}
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}
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