diff --git a/src/routes/api/aiFeedbackActionParent.js b/src/routes/api/aiFeedbackActionParent.js
index cf8091e..afeeb58 100644
--- a/src/routes/api/aiFeedbackActionParent.js
+++ b/src/routes/api/aiFeedbackActionParent.js
@@ -3,7 +3,7 @@ const aiFeedbackOnReport = async (req, res) => {
   const url = process.env.AI_API_ENDOINT;
   const api_key = process.env.AI_API_KEY;
   const payload = {
-    "model": "gpt-4o-mini",
+    "model": "gpt-3.5-turbo-16k",
     "messages": [{ "role": "user", 
       "content": JSON.stringify(req.body.grades) + "   -  first dataset(grades) " + JSON.stringify(req.body.suggested) + "   -  second dataset(suggested actions) " + req.body.instruction }]
   }
diff --git a/src/routes/api/aiFeedbackOnReport.js b/src/routes/api/aiFeedbackOnReport.js
index 73503a3..3566cab 100644
--- a/src/routes/api/aiFeedbackOnReport.js
+++ b/src/routes/api/aiFeedbackOnReport.js
@@ -3,7 +3,7 @@ const aiFeedbackOnReport = async (req, res) => {
   const url = process.env.AI_API_ENDOINT;
   const api_key = process.env.AI_API_KEY;
   const payload = {
-    "model": "gpt-4o-mini",
+    "model": "gpt-3.5-turbo-16k",
     "messages": [{ "role": "user", 
       "content": JSON.stringify(req.body.score) + "   -  is the students report card. " + req.body.instruction }]
   }
diff --git a/src/routes/api/aiFeedbackOnReportWithFollowup.js b/src/routes/api/aiFeedbackOnReportWithFollowup.js
index 9f6deb5..2fc23fb 100644
--- a/src/routes/api/aiFeedbackOnReportWithFollowup.js
+++ b/src/routes/api/aiFeedbackOnReportWithFollowup.js
@@ -11,7 +11,7 @@ const aiFollowupQuestion = async (req, res) => {
   const database = client.db(dbName); // Replace with your database name
   const conversationsCollection = database.collection('conversations'); // Replace with your collection name
   
-  async function fetchOpenAICompletion(prompt, messages, model = "gpt-4o-mini", max_tokens = 200) {
+  async function fetchOpenAICompletion(prompt, messages, model = "gpt-3.5-turbo-16k", max_tokens = 200) {
     const response = await fetch('https://api.openai.com/v1/chat/completions', {
       method: 'POST',
       headers: {
@@ -31,7 +31,7 @@ const aiFollowupQuestion = async (req, res) => {
   
   
     try {
-      const { prompt, sessionId, model = "gpt-4o-mini", max_tokens = 200 } = req.body;
+      const { prompt, sessionId, model = "gpt-3.5-turbo-16k", max_tokens = 200 } = req.body;
       if (!conversationsCollection) {
         return res.status(500).json({
           success: false,
diff --git a/src/routes/api/aiFollowupQuestion.js b/src/routes/api/aiFollowupQuestion.js
index 0bbcb14..9991971 100644
--- a/src/routes/api/aiFollowupQuestion.js
+++ b/src/routes/api/aiFollowupQuestion.js
@@ -1,4 +1,5 @@
 const aiFollowupQuestion = async (req, res) => {
+
   const { MongoClient } = require('mongodb');
   const fetch = require('node-fetch');
   const { v4: uuidv4 } = require('uuid');
@@ -10,7 +11,7 @@ const aiFollowupQuestion = async (req, res) => {
   const database = client.db(dbName);
   const conversationsCollection = database.collection('conversations');
   
-  async function fetchOpenAICompletion(prompt, messages, model = "gpt-4o-mini", max_tokens = 200) {
+  async function fetchOpenAICompletion(prompt, messages, model = "gpt-3.5-turbo-16k", max_tokens = 200) {
     const response = await fetch('https://api.openai.com/v1/chat/completions', {
       method: 'POST',
       headers: {
@@ -28,72 +29,63 @@ const aiFollowupQuestion = async (req, res) => {
     return data;
   }
   
-  try {
-    const { prompt, sessionId, model = "gpt-4o-mini", max_tokens = 200 } = req.body;
-    if (!conversationsCollection) {
-      return res.status(500).json({
-        success: false,
-        error: 'MongoDB is not connected yet. Please try again later.',
-      });
-    }
-
-    let conversation;
-
-    if (!sessionId) {
-      const newSessionId = uuidv4();
-
-      // New conversation, start with system and user message
-      conversation = {
-        sessionId: newSessionId,
-        conversationHistory: [
-          { role: 'system', content: 'answer within 50 words' },
-          { role: 'user', content: prompt },
-        ],
-      };
-      await conversationsCollection.insertOne(conversation);
-    } else {
-      // Existing conversation, find it by sessionId
-      conversation = await conversationsCollection.findOne({ sessionId: sessionId });
-      if (!conversation) {
-        return res.status(400).json({
+  
+    try {
+      const { prompt, sessionId, model = "gpt-3.5-turbo-16k", max_tokens = 200 } = req.body;
+      if (!conversationsCollection) {
+        return res.status(500).json({
           success: false,
-          error: 'Invalid session ID.',
+          error: 'MongoDB is not connected yet. Please try again later.',
         });
       }
-
-      // Keep only the last 2 messages (1 user and 1 assistant)
-      conversation.conversationHistory.push({ role: 'user', content: prompt });
-
-      // Limit conversation history to the last two entries: one user, one assistant
-      const lastTwoMessages = conversation.conversationHistory.slice(-2);
-      conversation.conversationHistory = lastTwoMessages;
+      let conversation;
+  
+      if (!sessionId) {
+        const newSessionId = uuidv4();
+  
+        conversation = {
+          sessionId: newSessionId,
+          conversationHistory: [
+            { role: 'system', content: 'answer within 50 words' },
+            { role: 'user', content: prompt },
+          ],
+        };
+        await conversationsCollection.insertOne(conversation);
+      } else {
+        conversation = await conversationsCollection.findOne({ sessionId: sessionId });
+        if (!conversation) {
+          return res.status(400).json({
+            success: false,
+            error: 'Invalid session ID.',
+          });
+        }
+        conversation.conversationHistory.push({ role: 'user', content: prompt });
+      }
+  
+      const aiResponse = await fetchOpenAICompletion(prompt, conversation.conversationHistory, model, max_tokens);
+  
+      conversation.conversationHistory.push({ role: 'assistant', content: aiResponse.choices[0].message.content });
+  
+      await conversationsCollection.updateOne(
+        { sessionId: conversation.sessionId },
+        { $set: { conversationHistory: conversation.conversationHistory } }
+      );
+  
+      res.json({
+        success: true,
+        data: aiResponse.choices[0].message.content,
+        total_tokens: aiResponse.usage.total_tokens,
+        sessionId: conversation.sessionId,
+      });
+    } catch (error) {
+      console.error('Error generating response:', error.message);
+      res.status(500).json({
+        success: false,
+        error: 'Something went wrong. Please try again later.',
+      });
     }
-
-    // Fetch AI response based on the last two messages (user + assistant)
-    const aiResponse = await fetchOpenAICompletion(prompt, conversation.conversationHistory, model, max_tokens);
-
-    // Add the AI response to conversation history
-    conversation.conversationHistory.push({ role: 'assistant', content: aiResponse.choices[0].message.content });
-
-    // Update conversation in the database with new history
-    await conversationsCollection.updateOne(
-      { sessionId: conversation.sessionId },
-      { $set: { conversationHistory: conversation.conversationHistory } }
-    );
-
-    res.json({
-      success: true,
-      data: aiResponse.choices[0].message.content,
-      total_tokens: aiResponse.usage.total_tokens,
-      sessionId: conversation.sessionId,
-    });
-  } catch (error) {
-    console.error('Error generating response:', error.message);
-    res.status(500).json({
-      success: false,
-      error: 'Something went wrong. Please try again later.',
-    });
+  
+  
   }
-}
-
-module.exports = aiFollowupQuestion;
+  
+  module.exports = aiFollowupQuestion;
\ No newline at end of file