pasted all my ai file

app/formfile/generate-idea.ts

@@ -0,0 +1,71 @@
+import { GoogleGenerativeAI } from "@google/generative-ai";
+import type { NextApiRequest, NextApiResponse } from 'next';
+
+// Initialize the Gemini Client with your API Key
+// 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");
+}
+const ai = new GoogleGenerativeAI(apiKey);
+
+
+
+// Define the handler function for the API route
+export default async function handler(
+  req: NextApiRequest,
+  res: NextApiResponse
+) {
+  // Only allow POST requests
+  if (req.method !== 'POST') {
+    return res.status(405).json({ error: 'Method Not Allowed' });
+  }
+
+  // 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' });
+  }
+
+  // Modify the prompt to instruct the AI to generate only the game, concept, and track
+  prompt = `You're going to fill out a card base off the document.
+  you will Generate the project short title. 
+  you will list out the track you used  ${prompt}`;
+
+  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
+    const generationConfig = {
+      temperature: settings?.temperature || 0.9,
+      // The SDK property name for system instructions is 'systemInstruction'
+      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", 
+        parts: [{ text: prompt }]
+      }], 
+      
+      // The fixed property name that resolves the TypeScript error
+      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 });
+
+  } catch (error) {
+    console.error("Gemini API Error:", error);
+    res.status(500).json({ error: 'Failed to generate idea from AI.' });
+  }
+}