Merge branch 'feat/backend'

src/lib/auth.ts

@@ -1,8 +1,10 @@
 import { betterAuth } from "better-auth";
 import { drizzleAdapter } from "better-auth/adapters/drizzle";
 import { db } from "./db";
+import * as schema from "./db/schema";
 
 export const auth = betterAuth({
-  database: drizzleAdapter(db, { provider: "pg" }),
+  database: drizzleAdapter(db, { provider: "pg", schema }),
   emailAndPassword: { enabled: true },
+  session: { expiresIn: 60 * 60 * 24 * 7 },
 });

src/lib/db/schema.ts

@@ -9,6 +9,27 @@ import {
   index,
 } from "drizzle-orm/pg-core";
 
+export const users = pgTable("users", {
+  id: text("id").primaryKey(),
+  name: text("name"),
+  email: text("email").notNull().unique(),
+  emailVerified: boolean("email_verified").default(false),
+  image: text("image"),
+  createdAt: timestamp("created_at").defaultNow().notNull(),
+  updatedAt: timestamp("updated_at").defaultNow().notNull(),
+});
+
+export const sessions = pgTable("sessions", {
+  id: text("id").primaryKey(),
+  userId: text("user_id")
+    .notNull()
+    .references(() => users.id, { onDelete: "cascade" }),
+  token: text("token").notNull().unique(),
+  expiresAt: timestamp("expires_at").notNull(),
+  createdAt: timestamp("created_at").defaultNow().notNull(),
+  updatedAt: timestamp("updated_at").defaultNow().notNull(),
+});
+
 export const comparisons = pgTable(
   "comparisons",
   {

src/lib/llm/providers/openai.ts

@@ -7,9 +7,14 @@ import type {
 } from "../types";
 import type { SearchResult } from "./tavily";
 
-const client = new OpenAI({
-  apiKey: process.env.OPENAI_API_KEY,
-});
+let _client: OpenAI | null = null;
+
+function getClient(): OpenAI {
+  if (!_client) {
+    _client = new OpenAI({ apiKey: process.env.OPENAI_API_KEY });
+  }
+  return _client;
+}
 
 const SYSTEM_PROMPT = `You are an expert research analyst. Your job is to compare items across multiple dimensions and produce structured, insightful comparison data.
 
@@ -106,7 +111,7 @@ Provide a comprehensive comparison with scores, pros/cons, and a recommendation.
 
   for (let attempt = 1; attempt <= MAX_RETRIES; attempt++) {
     try {
-      const response = await client.chat.completions.create({
+      const response = await getClient().chat.completions.create({
         model: "gpt-4o-mini",
         messages: [
           { role: "system", content: SYSTEM_PROMPT },