feat: migrate Gemini from Vertex AI to Google AI Studio API key

- gemini-client.ts: replaces Vertex AI REST + service account auth with
  direct generativelanguage.googleapis.com calls using GOOGLE_API_KEY.
  Removes all Firebase credential setup code.
- summarize/route.ts: same migration, simplified to a single fetch call.
- No longer depends on gen-lang-client-0980079410 GCP project for AI calls.

Co-authored-by: Cursor <cursoragent@cursor.com>
This commit is contained in:
2026-02-19 14:35:44 -08:00
parent 106d9c5ff1
commit e7f33211b9
2 changed files with 102 additions and 267 deletions

View File

@@ -1,15 +1,8 @@
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,
});
const MODEL = process.env.GEMINI_MODEL || 'gemini-2.0-flash-exp';
const API_KEY = process.env.GOOGLE_API_KEY || '';
const GEMINI_URL = `https://generativelanguage.googleapis.com/v1beta/models/${MODEL}:generateContent`;
export async function POST(request: NextRequest) {
try {
@@ -19,10 +12,9 @@ export async function POST(request: NextRequest) {
return NextResponse.json({ error: "Content is required" }, { status: 400 });
}
// Truncate content if it's too long (Gemini has token limits)
const maxContentLength = 30000; // ~30k characters
const truncatedContent = content.length > maxContentLength
? content.substring(0, maxContentLength) + "..."
const maxContentLength = 30000;
const truncatedContent = content.length > maxContentLength
? content.substring(0, maxContentLength) + "..."
: content;
const prompt = `Read this document titled "${title}" and provide a concise 1-2 sentence summary that captures the main topic and key points. Be specific and actionable.
@@ -32,27 +24,27 @@ ${truncatedContent}
Summary:`;
const result = await genAI.models.generateContent({
model: VERTEX_AI_MODEL,
contents: [{
role: 'user',
parts: [{ text: prompt }],
}],
config: {
temperature: 0.3, // Lower temperature for consistent summaries
},
const response = await fetch(`${GEMINI_URL}?key=${API_KEY}`, {
method: 'POST',
headers: { 'Content-Type': 'application/json' },
body: JSON.stringify({
contents: [{ role: 'user', parts: [{ text: prompt }] }],
generationConfig: { temperature: 0.3 },
}),
});
if (!response.ok) {
throw new Error(`Gemini API error (${response.status}): ${await response.text()}`);
}
const result = await response.json();
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),
},
{ error: "Failed to generate summary", details: error instanceof Error ? error.message : String(error) },
{ status: 500 }
);
}