sepehr fc2c40249e feat: AI provider testing page + multi-provider support + UX design spec
- 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
2026-01-10 11:23:22 +01:00

92 lines
2.8 KiB
TypeScript

import { NextRequest, NextResponse } from 'next/server'
import { getEmbeddingsProvider } from '@/lib/ai/factory'
import { getSystemConfig } from '@/lib/config'
function getProviderDetails(config: Record<string, string>, providerType: string) {
const provider = providerType.toLowerCase()
switch (provider) {
case 'ollama':
return {
provider: 'Ollama',
baseUrl: config.OLLAMA_BASE_URL || 'http://localhost:11434',
model: config.AI_MODEL_EMBEDDING || 'embeddinggemma:latest'
}
case 'openai':
return {
provider: 'OpenAI',
baseUrl: 'https://api.openai.com/v1',
model: config.AI_MODEL_EMBEDDING || 'text-embedding-3-small'
}
case 'custom':
return {
provider: 'Custom OpenAI',
baseUrl: config.CUSTOM_OPENAI_BASE_URL || 'Not configured',
model: config.AI_MODEL_EMBEDDING || 'text-embedding-3-small'
}
default:
return {
provider: provider,
baseUrl: 'unknown',
model: config.AI_MODEL_EMBEDDING || 'unknown'
}
}
}
export async function POST(request: NextRequest) {
try {
const config = await getSystemConfig()
const provider = getEmbeddingsProvider(config)
const testText = 'test'
const startTime = Date.now()
const embeddings = await provider.getEmbeddings(testText)
const endTime = Date.now()
if (!embeddings || embeddings.length === 0) {
const providerType = config.AI_PROVIDER_EMBEDDING || 'ollama'
const details = getProviderDetails(config, providerType)
return NextResponse.json(
{
success: false,
error: 'No embeddings returned',
provider: providerType,
model: config.AI_MODEL_EMBEDDING || 'embeddinggemma:latest',
details
},
{ status: 500 }
)
}
const providerType = config.AI_PROVIDER_EMBEDDING || 'ollama'
const details = getProviderDetails(config, providerType)
return NextResponse.json({
success: true,
provider: providerType,
model: config.AI_MODEL_EMBEDDING || 'embeddinggemma:latest',
embeddingLength: embeddings.length,
firstValues: embeddings.slice(0, 5),
responseTime: endTime - startTime,
details
})
} catch (error: any) {
console.error('AI embeddings test error:', error)
const config = await getSystemConfig()
const providerType = config.AI_PROVIDER_EMBEDDING || 'ollama'
const details = getProviderDetails(config, providerType)
return NextResponse.json(
{
success: false,
error: error.message || 'Unknown error',
provider: providerType,
model: config.AI_MODEL_EMBEDDING || 'embeddinggemma:latest',
details,
stack: process.env.NODE_ENV === 'development' ? error.stack : undefined
},
{ status: 500 }
)
}
}