Update aiEngine.js

aiEngine.js

@@ -100,13 +100,17 @@ export const AIEngine = {
    * Can return { status: "REJECTED", ... } or { status: "ACCEPTED", questions: ... }
    */
   generateEntryQuestions: async (description) => {
-    const modelId = 'gemini-2.5-pro';
+    const modelId = 'gemini-flash-latest';
     // Updated prompt to enforce Gatekeeping (TOS/Nonsense check)
     const input = `[MODE 1: QUESTIONS]\nAnalyze this game idea: "${description}". Check for TOS violations or nonsense. If good, ask 3 questions. Output ONLY raw JSON.`;
     
-    try {
       const response = await genAI.models.generateContent({
         model: modelId,
+        
+        thinkingConfig: {
+           thinkingBudget: -1,
+         },
+        
         config: { 
             responseMimeType: "application/json",
             systemInstruction: { parts: [{ text: prompts.analyst_system_prompt }] }
@@ -128,13 +132,18 @@ export const AIEngine = {
    * Returns STRICT JSON
    */
   gradeProject: async (description, answers) => {
-    const modelId = 'gemini-2.5-pro';
+    const modelId = 'gemini-flash-latest';
     // Updated prompt to ask for Title and Rating
     const input = `[MODE 2: GRADING]\nIdea: "${description}"\nUser Answers: ${JSON.stringify(answers)}\n\nAssess feasibility. Output JSON with title and rating.`;
 
     try {
       const response = await genAI.models.generateContent({
         model: modelId,
+        
+        thinkingConfig: {
+          thinkingBudget: -1,
+         },
+        
         config: { 
             responseMimeType: "application/json",
             systemInstruction: { parts: [{ text: prompts.analyst_system_prompt }] }
@@ -156,20 +165,7 @@ export const AIEngine = {
     const modelId = 'gemini-2.5-flash-image';
     
     try {
-      /* console.log(`[AIEngine] Generating Image for: "${prompt}"...`);
-      const response = await genAI.models.generateImages({
-        model: modelId,
-        prompt: prompt,
-        config: {
-          numberOfImages: 1,
-          aspectRatio: "16:9", // Widescreen for thumbnails
-          outputMimeType: "image/png"
-        }
-      });
-
-      const image = response.generatedImages[0];
-      if (!image || !image.image) throw new Error("No image data returned");
-      */
+      
       const config = {
     responseModalities: [
         'IMAGE',
@@ -201,11 +197,6 @@ export const AIEngine = {
       continue;
     }
     if (chunk.candidates?.[0]?.content?.parts?.[0]?.inlineData) {
-     /* const fileName = `ENTER_FILE_NAME_${fileIndex++}`;
-      const inlineData = chunk.candidates[0].content.parts[0].inlineData;
-      const fileExtension = mime.getExtension(inlineData.mimeType || '');
-      const buffer = Buffer.from(inlineData.data || '', 'base64');
-*/
       
       // inlineData is the object from the model: { mimeType: 'image/png', data: '...base64...' }
 const inlineData = chunk.candidates[0].content.parts[0].inlineData;