Update ai_engine.js

ai_engine.js

@@ -18,11 +18,8 @@ const getModelId = (modelName) => {
     case "nemotron-12b":             return "nvidia/nemotron-nano-12b-v2-vl:free";
     case "gpt": case "gpt-5.4-nano": return "openai/gpt-5.4-nano";
     case "qwen-non":                 return "qwen/qwen3-vl-30b-a3b-instruct";
-  
-      case "bytedance-1.6":         return "bytedance-seed/seed-1.6-flash:floor";
-      case "mistral-small":         return "mistralai/mistral-small-2603";
-  
-  
+    case "bytedance-1.6":            return "bytedance-seed/seed-1.6-flash:floor";
+    case "mistral-small":            return "mistralai/mistral-small-2603";
     case "qwen": default:            return "qwen/qwen3-vl-30b-a3b-thinking:floor";
   }
 };
@@ -30,8 +27,8 @@ const getModelId = (modelName) => {
 // --- IMAGE MODEL ROUTER ---
 const getImageModelId = (tier) => {
   switch (tier) {
-    case "premium": return "bytedance-seed/seedream-4.5";          // $0.04/img
-    case "quick":   return "sourceful/riverflow-v2-fast";          // $0.002/img
+    case "premium": return "bytedance-seed/seedream-4.5";
+    case "quick":   return "sourceful/riverflow-v2-fast";
     default:        return "sourceful/riverflow-v2-fast";
   }
 };
@@ -50,7 +47,9 @@ const logOpenRouterError = (error, context) => {
 };
 
 // --- TEXT COMPLETION ---
-export const generateCompletion = async ({ model, prompt, system_prompt, images }) => {
+// forceJson: true  → response_format json_object (structured calls, e.g. aura scan)
+// forceJson: false → plain text (e.g. ReplyGenius chat replies)
+export const generateCompletion = async ({ model, prompt, system_prompt, images, forceJson = true }) => {
   try {
     const targetModel = getModelId(model);
     let messagesPayload = [
@@ -70,12 +69,19 @@ export const generateCompletion = async ({ model, prompt, system_prompt, images
       messagesPayload.push({ role: "user", content: prompt });
     }
 
-    const response = await openRouterAI.chat.completions.create({
+    const requestParams = {
       model: targetModel,
       messages: messagesPayload,
-      response_format: { type: "json_object" },
       max_tokens: 1200,
-    });
+    };
+
+    // ✅ Only enforce JSON schema when explicitly requested.
+    // Sending response_format with a plain-text prompt causes 400 on most providers.
+    if (forceJson) {
+      requestParams.response_format = { type: "json_object" };
+    }
+
+    const response = await openRouterAI.chat.completions.create(requestParams);
 
     return {
       success: true,
@@ -136,7 +142,6 @@ export const streamCompletion = async ({ model, prompt, system_prompt, images, r
 };
 
 // --- IMAGE GENERATION ---
-// Uses OpenRouter's image generation endpoint directly (not chat completions)
 export const generateImage = async ({ prompt, tier = "quick" }) => {
   try {
     const model = getImageModelId(tier);
@@ -149,12 +154,7 @@ export const generateImage = async ({ prompt, tier = "quick" }) => {
         "HTTP-Referer": process.env.YOUR_SITE_URL || "https://everydaycats.web.app",
         "X-Title": process.env.YOUR_SITE_NAME || "lightnovel.ai",
       },
-      body: JSON.stringify({
-        model,
-        prompt,
-        n: 1,
-        size: "1024x1024",
-      })
+      body: JSON.stringify({ model, prompt, n: 1, size: "1024x1024" })
     });
 
     if (!response.ok) {