chore(interviews): route AI suggestions through n8n webhook

app/api/interviews/suggest/route.ts

@@ -2,11 +2,6 @@ import { NextRequest, NextResponse } from "next/server";
 
 export async function POST(request: NextRequest) {
   try {
-    const apiKey = process.env.GEMINI_API_KEY;
-    if (!apiKey) {
-      return NextResponse.json({ error: "Missing GEMINI_API_KEY environment variable" }, { status: 500 });
-    }
-
     const body = await request.json();
     const {
       candidateName,
@@ -23,63 +18,55 @@ export async function POST(request: NextRequest) {
       return NextResponse.json({ error: "Missing required parameters" }, { status: 400 });
     }
 
-    const formattedComments = (commentHistory || [])
+    const webhookUrl = process.env.NEXT_PUBLIC_N8N_WEBHOOK_URL;
-      .map((c: { author?: string; text?: string; timestamp?: string }) => 
+    const baseUrl = webhookUrl
-        `[${c.timestamp ? new Date(c.timestamp).toLocaleString() : ""}] ${c.author || "Agent"}: ${c.text}`
+      ? webhookUrl.replace(/\/evaluate-candidate$/, "")
-      )
+      : "https://n8n.gaboggamer.online/webhook";
-      .join("\n");
 
-    const prompt = `You are an AI recruitment co-pilot. Suggest the next step for this candidate in their interview process.
+    const targetUrl = `${baseUrl}/suggest-next-steps`;
 
-Candidate Name: ${candidateName}
+    const response = await fetch(targetUrl, {
-Vacancy: ${jobTitle}
-Current Interview Stage: ${currentStage}
-Candidate Summary: ${candidateSummary || "None provided"}
-Candidate Skills: ${JSON.stringify(candidateSkills || [])}
-Job Requirements: ${jobRequirements || "None provided"}
-
-Interview Comments History:
-${formattedComments || "No comments yet"}
-
-Provide your suggestion for the next steps.
-Requirements:
-1. MUST be extremely brief and concise (max 3-4 bullet points).
-2. MUST focus on actionable suggestions based on their current stage, comment history, and candidate profile.
-3. Respond in ${lang === "es" ? "Spanish" : "English"}.
-4. Use standard Markdown formatting. Keep it professional.
-
-Do not include any pre-text or post-text. Return only the markdown content.`;
-
-    const response = await fetch(
-      `https://generativelanguage.googleapis.com/v1beta/models/gemini-1.5-flash:generateContent?key=${apiKey}`,
-      {
       method: "POST",
       headers: {
         "Content-Type": "application/json",
       },
       body: JSON.stringify({
-          contents: [{
+        candidateName,
-            parts: [{ text: prompt }]
+        jobTitle,
-          }]
+        currentStage,
+        candidateSummary,
+        candidateSkills,
+        jobRequirements,
+        commentHistory,
+        lang,
       }),
-      }
+    });
-    );
 
     if (!response.ok) {
       const errText = await response.text();
-      return NextResponse.json({ error: `Gemini API error: ${response.status} - ${errText}` }, { status: 500 });
+      return NextResponse.json(
+        { error: `n8n suggestion error: ${response.status} - ${errText}` },
+        { status: 500 }
+      );
     }
 
     const data = await response.json();
-    const textContent = data.candidates?.[0]?.content?.parts?.[0]?.text;
     
-    if (!textContent) {
+    // Support either direct suggestion string, or wrapped inside an object/array
-      return NextResponse.json({ error: "Failed to generate suggestion from Gemini" }, { status: 500 });
+    let result = Array.isArray(data) ? data[0] : data;
+    if (result && result.json) {
+      result = result.json;
+    }
+    
+    const suggestionText = typeof result === "string" ? result : result.suggestion;
+
+    if (!suggestionText) {
+      return NextResponse.json({ error: "Invalid response structure from n8n suggestion" }, { status: 500 });
     }
 
     return NextResponse.json({
       success: true,
-      suggestion: textContent.trim(),
+      suggestion: suggestionText.trim(),
     });
 
   } catch (error: unknown) {