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