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chore(interviews): route AI suggestions through n8n webhook

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This commit is contained in:
Gabriel Ramos 2026-06-10 17:07:45 -04:00
parent b1c2f7fbd2
commit cc9087630c
1 changed files with 36 additions and 49 deletions
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85
app/api/interviews/suggest/route.ts
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@ -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 || [])
.map((c: { author?: string; text?: string; timestamp?: string }) =>
`[${c.timestamp ? new Date(c.timestamp).toLocaleString() : ""}] ${c.author || "Agent"}: ${c.text}`
)
.join("\n");
const webhookUrl = process.env.NEXT_PUBLIC_N8N_WEBHOOK_URL;
const baseUrl = webhookUrl
? webhookUrl.replace(/\/evaluate-candidate$/, "")
: "https://n8n.gaboggamer.online/webhook";
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}
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: [{
parts: [{ text: prompt }]
}]
}),
}
);
const response = await fetch(targetUrl, {
method: "POST",
headers: {
"Content-Type": "application/json",
},
body: JSON.stringify({
candidateName,
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;
// Support either direct suggestion string, or wrapped inside an object/array
let result = Array.isArray(data) ? data[0] : data;
if (result && result.json) {
result = result.json;
}
const suggestionText = typeof result === "string" ? result : result.suggestion;
if (!textContent) {
return NextResponse.json({ error: "Failed to generate suggestion from Gemini" }, { status: 500 });
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) {