Initial commit: DrinkTracker full-stack app

Next.js 14 drink collection tracker with AI-powered search,
menu scanning, ratings, wishlist, sharing, and CSV backup/restore.

Features:
- Auth (credentials + OAuth ready)
- Drink collection with ratings and reviews
- AI search via Claude/OpenAI with search history
- Menu photo scanning with AI extraction
- Wishlist / Try Later system
- Public sharing via slug URLs
- CSV backup and restore (merge/replace modes)
- Docker Compose for Postgres + MinIO + dev server

Security: docker-compose files use env var interpolation
instead of hardcoded secrets.

Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>

src/lib/ai/openai-provider.ts

@@ -0,0 +1,81 @@
+import OpenAI from "openai"
+import { BaseAIProvider } from "./base-provider"
+
+export class OpenAIProvider extends BaseAIProvider {
+  name = "openai"
+  private client: OpenAI
+
+  constructor(apiKey: string) {
+    super()
+    this.client = new OpenAI({ apiKey })
+  }
+
+  async sendVisionRequest(
+    systemPrompt: string,
+    imageBase64: string,
+    mimeType: string
+  ): Promise<string> {
+    const dataUrl = `data:${mimeType};base64,${imageBase64}`
+
+    const response = await this.client.chat.completions.create({
+      model: "gpt-4o",
+      max_tokens: 4096,
+      messages: [
+        {
+          role: "system",
+          content: systemPrompt,
+        },
+        {
+          role: "user",
+          content: [
+            {
+              type: "image_url",
+              image_url: {
+                url: dataUrl,
+                detail: "high",
+              },
+            },
+            {
+              type: "text",
+              text: "Please analyze this image and extract the information as instructed.",
+            },
+          ],
+        },
+      ],
+    })
+
+    const message = response.choices[0]?.message?.content
+    if (!message) {
+      throw new Error("No response received from OpenAI")
+    }
+
+    return message
+  }
+
+  async sendTextRequest(
+    systemPrompt: string,
+    userMessage: string
+  ): Promise<string> {
+    const response = await this.client.chat.completions.create({
+      model: "gpt-4o",
+      max_tokens: 4096,
+      messages: [
+        {
+          role: "system",
+          content: systemPrompt,
+        },
+        {
+          role: "user",
+          content: userMessage,
+        },
+      ],
+    })
+
+    const message = response.choices[0]?.message?.content
+    if (!message) {
+      throw new Error("No response received from OpenAI")
+    }
+
+    return message
+  }
+}