[split-required] Split website + studio-v2 monoliths (Phase 3 continued)

Website (14 monoliths split):
- compliance/page.tsx (1,519 → 9), docs/audit (1,262 → 20)
- quality (1,231 → 16), alerts (1,203 → 10), docs (1,202 → 11)
- i18n.ts (1,173 → 8 language files)
- unity-bridge (1,094 → 12), backlog (1,087 → 6)
- training (1,066 → 8), rag (1,063 → 8)
- Deleted index_original.ts (4,899 LOC dead backup)

Studio-v2 (5 monoliths split):
- meet/page.tsx (1,481 → 9), messages (1,166 → 9)
- AlertsB2BContext.tsx (1,165 → 5 modules)
- alerts-b2b/page.tsx (1,019 → 6), korrektur/archiv (1,001 → 6)

All existing imports preserved. Zero new TypeScript errors.

Co-Authored-By: Claude Opus 4.6 (1M context) <noreply@anthropic.com>

website/app/admin/training/_components/api.ts

@@ -0,0 +1,123 @@
+import type { TrainingJob, TrainingConfig, DatasetStats } from './types'
+
+// ============================================================================
+// MOCK DATA (Replace with real API calls)
+// ============================================================================
+
+export const MOCK_JOBS: TrainingJob[] = [
+  {
+    id: 'job-1',
+    name: 'Zeugnis-RAG v2.1',
+    model_type: 'zeugnis',
+    status: 'training',
+    progress: 67,
+    current_epoch: 7,
+    total_epochs: 10,
+    loss: 0.234,
+    val_loss: 0.289,
+    learning_rate: 0.00002,
+    documents_processed: 423,
+    total_documents: 632,
+    started_at: new Date(Date.now() - 3600000).toISOString(),
+    estimated_completion: new Date(Date.now() + 1800000).toISOString(),
+    error_message: null,
+    metrics: {
+      precision: 0.89,
+      recall: 0.85,
+      f1_score: 0.87,
+      accuracy: 0.91,
+      loss_history: [0.8, 0.6, 0.45, 0.35, 0.28, 0.25, 0.234],
+      val_loss_history: [0.85, 0.65, 0.5, 0.4, 0.32, 0.3, 0.289],
+    },
+    config: {
+      batch_size: 16,
+      learning_rate: 0.00005,
+      epochs: 10,
+      warmup_steps: 500,
+      weight_decay: 0.01,
+      gradient_accumulation: 4,
+      mixed_precision: true,
+      bundeslaender: ['ni', 'by', 'nw', 'he', 'bw'],
+    },
+  },
+]
+
+export const MOCK_STATS: DatasetStats = {
+  total_documents: 632,
+  total_chunks: 8547,
+  training_allowed: 489,
+  by_bundesland: {
+    ni: 87, by: 92, nw: 78, he: 65, bw: 71, rp: 43, sn: 38, sh: 34, th: 29,
+  },
+  by_doc_type: {
+    verordnung: 312,
+    schulordnung: 156,
+    handreichung: 98,
+    erlass: 66,
+  },
+}
+
+// ============================================================================
+// API FUNCTIONS
+// ============================================================================
+
+export async function fetchJobs(): Promise<TrainingJob[]> {
+  try {
+    const response = await fetch('/api/admin/training?action=jobs')
+    if (!response.ok) throw new Error('Failed to fetch jobs')
+    return await response.json()
+  } catch (error) {
+    console.error('Error fetching jobs:', error)
+    return MOCK_JOBS
+  }
+}
+
+export async function fetchDatasetStats(): Promise<DatasetStats> {
+  try {
+    const response = await fetch('/api/admin/training?action=dataset-stats')
+    if (!response.ok) throw new Error('Failed to fetch stats')
+    return await response.json()
+  } catch (error) {
+    console.error('Error fetching stats:', error)
+    return MOCK_STATS
+  }
+}
+
+export async function createTrainingJob(config: Partial<TrainingConfig>): Promise<{id: string, status: string}> {
+  const response = await fetch('/api/admin/training?action=create-job', {
+    method: 'POST',
+    headers: { 'Content-Type': 'application/json' },
+    body: JSON.stringify({
+      name: `Zeugnis-RAG ${new Date().toLocaleDateString('de-DE')}`,
+      model_type: 'zeugnis',
+      bundeslaender: config.bundeslaender || [],
+      batch_size: config.batch_size || 16,
+      learning_rate: config.learning_rate || 0.00005,
+      epochs: config.epochs || 10,
+      warmup_steps: config.warmup_steps || 500,
+      weight_decay: config.weight_decay || 0.01,
+      gradient_accumulation: config.gradient_accumulation || 4,
+      mixed_precision: config.mixed_precision ?? true,
+    }),
+  })
+  if (!response.ok) {
+    const error = await response.json()
+    throw new Error(error.detail || 'Failed to create job')
+  }
+  return await response.json()
+}
+
+export async function pauseJob(jobId: string): Promise<void> {
+  const response = await fetch(`/api/admin/training?action=pause&job_id=${jobId}`, { method: 'POST' })
+  if (!response.ok) throw new Error('Failed to pause job')
+}
+
+export async function resumeJob(jobId: string): Promise<void> {
+  const response = await fetch(`/api/admin/training?action=resume&job_id=${jobId}`, { method: 'POST' })
+  if (!response.ok) throw new Error('Failed to resume job')
+}
+
+export async function cancelJob(jobId: string): Promise<void> {
+  const response = await fetch(`/api/admin/training?action=cancel&job_id=${jobId}`, { method: 'POST' })
+  if (!response.ok) throw new Error('Failed to cancel job')
+}