got rid of the excess whitespaces and added the maxOutputTokens into the GenerateConfig in the types.ts

app/formfile/generate-idea.ts

@@ -5,8 +5,8 @@ import type { NextApiRequest, NextApiResponse } from 'next';
 // IMPORTANT: The GEMINI_API_KEY should be an environment variable.
 const apiKey = process.env.GEMINI_API_KEY;
 
-if(!apiKey){
-    throw new Error("api key not found");
+if (!apiKey) {
+  throw new Error("api key not found");
 }
 const ai = new GoogleGenerativeAI(apiKey);
 
@@ -24,7 +24,7 @@ export default async function handler(
 
   // Destructure the data sent from the frontend
   let { prompt, settings } = req.body;
-  
+
   // Basic validation
   if (!prompt || typeof prompt !== 'string') {
     return res.status(400).json({ error: 'Prompt is required' });
@@ -37,32 +37,32 @@ export default async function handler(
 
   try {
     // 1. Call the Gemini API using the correct method signature
-    
+
     const model = settings?.model || 'gemini-2.5-flash-lite';
     const generativeModel = ai.getGenerativeModel({ model });
 
-   // 1. Define the generation configuration object
+    // 1. Define the generation configuration object
     const generationConfig = {
       temperature: settings?.temperature || 0.9,
       // The SDK property name for system instructions is 'systemInstruction'
-      systemInstruction: settings?.sysTemInstructions, 
+      systemInstruction: settings?.sysTemInstructions,
     };
 
     // 2. Call generateContent with the single GenerateContentRequest object.
     const result = await generativeModel.generateContent({
       // contents must be an array of Content objects
       contents: [{
-        role: "user", 
+        role: "user",
         parts: [{ text: prompt }]
-      }], 
-      
+      }],
+
       // The fixed property name that resolves the TypeScript error
-      generationConfig: generationConfig, 
+      generationConfig: generationConfig,
     });
 
     // 2. Extract the response text
     // The result object now contains a property 'text' at the top level for simple text generation
-    const geminiResponseText = result.response.text();    res.status(200).json({ response: geminiResponseText });
+    const geminiResponseText = result.response.text(); res.status(200).json({ response: geminiResponseText });
 
   } catch (error) {
     console.error("Gemini API Error:", error);