feat: add reminders page, BMad skills upgrade, MCP server refactor
- Add reminders page with navigation support - Upgrade BMad builder module to skills-based architecture - Refactor MCP server: extract tools and auth into separate modules - Add connections cache, custom AI provider support - Update prisma schema and generated client - Various UI/UX improvements and i18n updates - Add service worker for PWA support Made-with: Cursor
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@@ -64,14 +64,14 @@ export function AI_TESTER({ type }: { type: 'tags' | 'embeddings' }) {
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if (data.success) {
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toast.success(
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`✅ ${type === 'tags' ? 'Tags' : 'Embeddings'} Test Successful!`,
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`✅ ${t('admin.aiTest.testSuccessToast', { type: type === 'tags' ? 'Tags' : 'Embeddings' })}`,
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{
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description: `Provider: ${data.provider} | Time: ${endTime - startTime}ms`
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}
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)
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} else {
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toast.error(
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`❌ ${type === 'tags' ? 'Tags' : 'Embeddings'} Test Failed`,
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`❌ ${t('admin.aiTest.testFailedToast', { type: type === 'tags' ? 'Tags' : 'Embeddings' })}`,
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{
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description: data.error || 'Unknown error'
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}
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@@ -92,7 +92,7 @@ export function AI_TESTER({ type }: { type: 'tags' | 'embeddings' }) {
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}
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const getProviderInfo = () => {
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if (!config) return { provider: 'Loading...', model: 'Loading...' }
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if (!config) return { provider: t('admin.aiTest.testing'), model: t('admin.aiTest.testing') }
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if (type === 'tags') {
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return {
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@@ -232,7 +232,7 @@ export function AI_TESTER({ type }: { type: 'tags' | 'embeddings' }) {
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{result.details && (
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<details className="mt-2">
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<summary className="text-xs cursor-pointer text-red-600 dark:text-red-400">
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Technical details
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{t('admin.aiTest.technicalDetails')}
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</summary>
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<pre className="mt-2 text-xs overflow-auto p-2 bg-red-100 dark:bg-red-900/30 rounded">
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{JSON.stringify(result.details, null, 2)}
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@@ -250,7 +250,7 @@ export function AI_TESTER({ type }: { type: 'tags' | 'embeddings' }) {
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<div className="text-center py-4">
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<Loader2 className="h-8 w-8 animate-spin mx-auto text-primary" />
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<p className="text-sm text-muted-foreground mt-2">
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{t('admin.aiTest.testing')} {type === 'tags' ? 'tags generation' : 'embeddings'}...
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{t('admin.aiTest.testingType', { type: type === 'tags' ? 'tags generation' : 'embeddings' })}
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</p>
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</div>
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)}
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@@ -1,17 +1,14 @@
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'use client'
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import { Card, CardContent, CardDescription, CardHeader, CardTitle } from '@/components/ui/card'
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import { Button } from '@/components/ui/button'
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import { auth } from '@/auth'
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import { redirect } from 'next/navigation'
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import Link from 'next/link'
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import { ArrowLeft, TestTube } from 'lucide-react'
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import { AI_TESTER } from './ai-tester'
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import { useLanguage } from '@/lib/i18n'
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export default async function AITestPage() {
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const session = await auth()
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if ((session?.user as any)?.role !== 'ADMIN') {
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redirect('/')
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}
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export default function AITestPage() {
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const { t } = useLanguage()
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return (
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<div className="container mx-auto py-10 px-4 max-w-6xl">
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@@ -25,10 +22,10 @@ export default async function AITestPage() {
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<div>
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<h1 className="text-3xl font-bold flex items-center gap-2">
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<TestTube className="h-8 w-8" />
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AI Provider Testing
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{t('admin.aiTest.title')}
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</h1>
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<p className="text-muted-foreground mt-1">
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Test your AI providers for tag generation and semantic search embeddings
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{t('admin.aiTest.description')}
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</p>
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</div>
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</div>
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@@ -40,10 +37,10 @@ export default async function AITestPage() {
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<CardHeader className="bg-primary/5 dark:bg-primary/10">
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<CardTitle className="flex items-center gap-2">
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<span className="text-2xl">🏷️</span>
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Tags Generation Test
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{t('admin.aiTest.tagsTestTitle')}
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</CardTitle>
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<CardDescription>
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Test the AI provider responsible for automatic tag suggestions
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{t('admin.aiTest.tagsTestDescription')}
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</CardDescription>
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</CardHeader>
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<CardContent className="pt-6">
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@@ -56,10 +53,10 @@ export default async function AITestPage() {
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<CardHeader className="bg-green-50/50 dark:bg-green-950/20">
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<CardTitle className="flex items-center gap-2">
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<span className="text-2xl">🔍</span>
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Embeddings Test
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{t('admin.aiTest.embeddingsTestTitle')}
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</CardTitle>
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<CardDescription>
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Test the AI provider responsible for semantic search embeddings
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{t('admin.aiTest.embeddingsTestDescription')}
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</CardDescription>
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</CardHeader>
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<CardContent className="pt-6">
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@@ -71,32 +68,31 @@ export default async function AITestPage() {
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{/* Info Section */}
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<Card className="mt-6">
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<CardHeader>
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<CardTitle>ℹ️ How Testing Works</CardTitle>
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<CardTitle>ℹ️ {t('admin.aiTest.howItWorksTitle')}</CardTitle>
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</CardHeader>
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<CardContent className="space-y-4 text-sm">
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<div>
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<h4 className="font-semibold mb-2">🏷️ Tags Generation Test:</h4>
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<h4 className="font-semibold mb-2">{t('admin.aiTest.tagsGenerationTest')}</h4>
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<ul className="list-disc list-inside space-y-1 text-muted-foreground">
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<li>Sends a sample note to the AI provider</li>
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<li>Requests 3-5 relevant tags based on the content</li>
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<li>Displays the generated tags with confidence scores</li>
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<li>Measures response time</li>
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<li>{t('admin.aiTest.tagsStep1')}</li>
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<li>{t('admin.aiTest.tagsStep2')}</li>
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<li>{t('admin.aiTest.tagsStep3')}</li>
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<li>{t('admin.aiTest.tagsStep4')}</li>
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</ul>
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</div>
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<div>
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<h4 className="font-semibold mb-2">🔍 Embeddings Test:</h4>
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<h4 className="font-semibold mb-2">{t('admin.aiTest.embeddingsTestLabel')}</h4>
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<ul className="list-disc list-inside space-y-1 text-muted-foreground">
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<li>Sends a sample text to the embedding provider</li>
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<li>Generates a vector representation (list of numbers)</li>
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<li>Displays embedding dimensions and sample values</li>
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<li>Verifies the vector is valid and properly formatted</li>
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<li>{t('admin.aiTest.embeddingsStep1')}</li>
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<li>{t('admin.aiTest.embeddingsStep2')}</li>
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<li>{t('admin.aiTest.embeddingsStep3')}</li>
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<li>{t('admin.aiTest.embeddingsStep4')}</li>
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</ul>
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</div>
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<div className="bg-amber-50 dark:bg-amber-950/20 p-4 rounded-lg border border-amber-200 dark:border-amber-900">
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<p className="font-semibold text-amber-900 dark:text-amber-100">💡 Tip:</p>
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<p className="font-semibold text-amber-900 dark:text-amber-100">💡 {t('admin.aiTest.tipTitle')}</p>
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<p className="text-amber-800 dark:text-amber-200 mt-1">
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You can use different providers for tags and embeddings! For example, use Ollama (free) for tags
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and OpenAI (best quality) for embeddings to optimize costs and performance.
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{t('admin.aiTest.tipContent')}
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</p>
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</div>
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</CardContent>
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