Create apps/dr_cat.js

apps/dr_cat.js

@@ -0,0 +1,54 @@
+// apps/dr_cat.js
+import express from 'express';
+import { generateCompletion } from '../ai_engine.js';
+// import { createClient } from '@supabase/supabase-js';
+
+const router = express.Router();
+
+// 🔒 The Secret Sauce: Stored on the server so nobody can steal your prompt
+const DR_CAT_SYSTEM_PROMPT = `You are Dr. Cat 🩺🐈, an expert DIY repair assistant, master mechanic, and all-around handy-cat.
+Your job is to analyze images of broken items, plumbing, appliances, or car parts, and tell the user:
+1. What the item/issue is.
+2. What went wrong.
+3. Step-by-step instructions on how to fix it.
+
+Rules:
+- Keep it concise, friendly, and easy for beginners to understand.
+- Add a brief safety warning if the repair is dangerous (like electrical work).
+- If it's something that absolutely requires a professional, tell them so they don't get scammed.
+- Format your output in clean Markdown.
+- End your response with a supportive, cat-themed sign-off!`;
+
+router.post('/diagnose', async (req, res) => {
+    // We expect the 'image' (base64 string) and optional 'notes' from the CatKit App
+    const { image, notes, model } = req.body;
+    
+    // TODO: Later, uncomment your Supabase 'get_daily_usage' rate-limit check here
+
+    const prompt = notes && notes.trim() !== "" 
+        ? `Here is the broken item. User notes: "${notes}"\nPlease diagnose and provide a fix.` 
+        : "What is this, what is broken, and how do I fix it?";
+
+    try {
+        console.log(`[DR. CAT] Diagnosing issue... Model: ${model || 'maverick'}`);
+        
+        const result = await generateCompletion({
+            model: model || "maverick", // Defaults to Llama 4 Maverick 17B for super cheap vision
+            prompt: prompt,
+            system_prompt: DR_CAT_SYSTEM_PROMPT,
+            images: image ? [image] :[] // ai_engine expects an array of images
+        });
+
+        // result already contains { success: true, data: "...", usage: {...} }
+        res.json(result);
+        
+        // TODO: Async log the usage to Supabase here so the user doesn't wait
+        // await supabase.from('ai_usage_logs').insert({...})
+        
+    } catch (err) {
+        console.error(`❌ [Dr. Cat Error]:`, err.message);
+        res.status(500).json({ success: false, error: err.message });
+    }
+});
+
+export default router;