VIBN Frontend for Coolify deployment

app/api/context/summarize/route.ts

@@ -0,0 +1,60 @@
+import { NextRequest, NextResponse } from "next/server";
+import { GoogleGenAI } from "@google/genai";
+
+const VERTEX_AI_MODEL = process.env.VERTEX_AI_MODEL || 'gemini-3-pro-preview';
+const VERTEX_PROJECT_ID = process.env.VERTEX_AI_PROJECT_ID || 'gen-lang-client-0980079410';
+const VERTEX_LOCATION = process.env.VERTEX_AI_LOCATION || 'global';
+
+const genAI = new GoogleGenAI({
+  project: VERTEX_PROJECT_ID,
+  location: VERTEX_LOCATION,
+  vertexai: true,
+});
+
+export async function POST(request: NextRequest) {
+  try {
+    const { content, title } = await request.json();
+
+    if (!content) {
+      return NextResponse.json({ error: "Content is required" }, { status: 400 });
+    }
+
+    // Truncate content if it's too long (Gemini has token limits)
+    const maxContentLength = 30000; // ~30k characters
+    const truncatedContent = content.length > maxContentLength 
+      ? content.substring(0, maxContentLength) + "..." 
+      : content;
+
+    const prompt = `Read this document titled "${title}" and provide a concise 1-2 sentence summary that captures the main topic and key points. Be specific and actionable.
+
+Document content:
+${truncatedContent}
+
+Summary:`;
+
+    const result = await genAI.models.generateContent({
+      model: VERTEX_AI_MODEL,
+      contents: [{
+        role: 'user',
+        parts: [{ text: prompt }],
+      }],
+      config: {
+        temperature: 0.3, // Lower temperature for consistent summaries
+      },
+    });
+    
+    const summary = result.candidates?.[0]?.content?.parts?.[0]?.text?.trim() || 'Summary unavailable';
+
+    return NextResponse.json({ summary });
+  } catch (error) {
+    console.error("Error generating summary:", error);
+    return NextResponse.json(
+      {
+        error: "Failed to generate summary",
+        details: error instanceof Error ? error.message : String(error),
+      },
+      { status: 500 }
+    );
+  }
+}
+