VIBN Frontend for Coolify deployment

app/api/projects/[projectId]/knowledge/import-ai-chat/route.ts

@@ -0,0 +1,90 @@
+import { NextResponse } from 'next/server';
+import { getAdminDb } from '@/lib/firebase/admin';
+import { createKnowledgeItem } from '@/lib/server/knowledge';
+import type { KnowledgeSourceMeta } from '@/lib/types/knowledge';
+
+const PROVIDER_MAP = new Set(['chatgpt', 'gemini', 'claude', 'cursor', 'vibn', 'other']);
+
+interface ImportAiChatRequest {
+  title?: string;
+  provider?: string;
+  transcript?: string;
+  sourceLink?: string | null;
+  createdAtOriginal?: string | null;
+}
+
+export async function POST(
+  request: Request,
+  { params }: { params: Promise<{ projectId: string }> },
+) {
+  try {
+    const { projectId } = await params;
+
+    if (!projectId) {
+      return NextResponse.json({ error: 'Missing projectId' }, { status: 400 });
+    }
+
+    const body = (await request.json()) as ImportAiChatRequest;
+    const transcript = body.transcript?.trim();
+    const provider = body.provider?.toLowerCase();
+
+    if (!transcript) {
+      return NextResponse.json({ error: 'transcript is required' }, { status: 400 });
+    }
+
+    const adminDb = getAdminDb();
+    const projectSnap = await adminDb.collection('projects').doc(projectId).get();
+    if (!projectSnap.exists) {
+      return NextResponse.json({ error: 'Project not found' }, { status: 404 });
+    }
+
+    const origin = PROVIDER_MAP.has(provider ?? '') ? provider : 'other';
+
+    const sourceMeta: KnowledgeSourceMeta = {
+      origin: (origin as KnowledgeSourceMeta['origin']) ?? 'other',
+      url: body.sourceLink ?? null,
+      filename: body.title ?? null,
+      createdAtOriginal: body.createdAtOriginal ?? null,
+      importance: 'primary',
+      tags: ['ai_chat'],
+    };
+
+    const knowledgeItem = await createKnowledgeItem({
+      projectId,
+      sourceType: 'imported_ai_chat',
+      title: body.title ?? null,
+      content: transcript,
+      sourceMeta,
+    });
+
+    // Chunk and embed in background (don't block response)
+    // This populates AlloyDB knowledge_chunks for vector search
+    (async () => {
+      try {
+        const { writeKnowledgeChunksForItem } = await import('@/lib/server/vector-memory');
+        await writeKnowledgeChunksForItem({
+          id: knowledgeItem.id,
+          projectId: knowledgeItem.projectId,
+          content: knowledgeItem.content,
+          sourceMeta: knowledgeItem.sourceMeta,
+        });
+      } catch (error) {
+        // Log but don't fail the request
+        console.error('[import-ai-chat] Failed to chunk/embed knowledge_item:', error);
+      }
+    })();
+
+    return NextResponse.json({ knowledgeItem });
+  } catch (error) {
+    console.error('[import-ai-chat] Failed to import chat', error);
+    return NextResponse.json(
+      {
+        error: 'Failed to import AI chat transcript',
+        details: error instanceof Error ? error.message : String(error),
+      },
+      { status: 500 },
+    );
+  }
+}
+
+