gpt-3.5-turbo-16k

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 }]
   }

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 }]
   }

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,

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: {
@@ -28,21 +29,20 @@ const aiFollowupQuestion = async (req, res) => {
     return data;
   }
   
+  
     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,
           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: [
@@ -52,7 +52,6 @@ const aiFollowupQuestion = async (req, res) => {
         };
         await conversationsCollection.insertOne(conversation);
       } else {
-      // Existing conversation, find it by sessionId
         conversation = await conversationsCollection.findOne({ sessionId: sessionId });
         if (!conversation) {
           return res.status(400).json({
@@ -60,22 +59,13 @@ const aiFollowupQuestion = async (req, res) => {
             error: 'Invalid session ID.',
           });
         }
-
-      // 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;
       }
   
-    // 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 } }
@@ -94,6 +84,8 @@ const aiFollowupQuestion = async (req, res) => {
         error: 'Something went wrong. Please try again later.',
       });
     }
-}
   
-module.exports = aiFollowupQuestion;
+  
+  }
+  
+  module.exports = aiFollowupQuestion;