Merge branch '28594_usage_tracking' into '1DEVT'

28594_usage_tracking

See merge request !70

@@ -49,7 +49,8 @@ function App() {
         let model = data.models.data[i];
         let model = data.models.data[i];
         if( !(model.id == "whisper-1"
         if( !(model.id == "whisper-1"
         || model.id == "gpt-4"
         || model.id == "gpt-4"
-        || model.id == "gpt-4-0314") ) model_list.push(model);
+        || model.id == "gpt-4-0314"
+        || model.id == "gpt-4-0613") ) model_list.push(model);
       }
       }
       setModels(model_list)
       setModels(model_list)
     })
     })
@@ -61,6 +62,12 @@ function App() {
   }
   }
 
 
   async function submitPrompt() {
   async function submitPrompt() {
+
+    const TPLogicRun = window.TPLogicRun;
+    if (typeof TPLogicRun === 'function') {
+      TPLogicRun();
+    }
+
     const userInput = ['what', 'why', 'when', 'where' , 'which', 'did', 'do', 'how', 'can', 'are', 'who'];
     const userInput = ['what', 'why', 'when', 'where' , 'which', 'did', 'do', 'how', 'can', 'are', 'who'];
     const userInputRegex = new RegExp(`\\b(${userInput.join('|')})\\b`, 'gi');
     const userInputRegex = new RegExp(`\\b(${userInput.join('|')})\\b`, 'gi');
     const inputMatches = chatInput.match(userInputRegex);
     const inputMatches = chatInput.match(userInputRegex);

@@ -5,6 +5,47 @@ const cors = require('cors')
 require('dotenv').config()
 require('dotenv').config()
 const rateLimit = require('express-rate-limit')
 const rateLimit = require('express-rate-limit')
 const anchorme = require("anchorme").default;
 const anchorme = require("anchorme").default;
+const axios = require('axios');
+const tiktoken = require('@dqbd/tiktoken');
+const tiktokenModels = [
+  'text-davinci-003',
+  'text-davinci-002',
+  'text-davinci-001',
+  'text-curie-001',
+  'text-babbage-001',
+  'text-ada-001',
+  'davinci',
+  'curie',
+  'babbage',
+  'ada',
+  'code-davinci-002',
+  'code-davinci-001',
+  'code-cushman-002',
+  'code-cushman-001',
+  'davinci-codex',
+  'cushman-codex',
+  'text-davinci-edit-001',
+  'code-davinci-edit-001',
+  'text-embedding-ada-002',
+  'text-similarity-davinci-001',
+  'text-similarity-curie-001',
+  'text-similarity-babbage-001',
+  'text-similarity-ada-001',
+  'text-search-davinci-doc-001',
+  'text-search-curie-doc-001',
+  'text-search-babbage-doc-001',
+  'text-search-ada-doc-001',
+  'code-search-babbage-code-001',
+  'code-search-ada-code-001',
+  'gpt2',
+  'gpt-4',
+  'gpt-4-0314',
+  'gpt-4-32k',
+  'gpt-4-32k-0314',
+  'gpt-3.5-turbo',
+  'gpt-3.5-turbo-0301'
+];
+const encoding_for_model = tiktoken.encoding_for_model;
 
 
 // Open AI Configuration
 // Open AI Configuration
 // console.log(process.env.OPENAI_API_ORG)
 // console.log(process.env.OPENAI_API_ORG)
@@ -67,6 +108,23 @@ app.post('/api', async (req, res) => {
 			temperature,
 			temperature,
 		  });
 		  });
 		let input = response.data.choices[0].text;
 		let input = response.data.choices[0].text;
+		let usage = {};
+		let enc = null;
+		try {
+			enc = encoding_for_model(tiktokenModels.includes(currentModel) ? currentModel : 'gpt-3.5-turbo');
+			usage.prompt_tokens = (enc.encode(query_prompt)).length;
+			usage.completion_tokens = (enc.encode(input)).length;
+			usage.total_tokens = usage.prompt_tokens + usage.completion_tokens;
+		} catch (e) {
+			console.log('Error encoding prompt text', e);
+		}
+
+		// TOKEN USAGE
+    axios.post(`${process.env.API_URL}e/set-chat-usage`,
+      { app: 'chatbot', prompt_token: usage.prompt_tokens, total_token: usage.total_tokens },
+      { headers: { 'content-type': 'application/x-www-form-urlencoded' }
+    });
+
 		res.json({
 		res.json({
 			message: anchorme({
 			message: anchorme({
 				input,
 				input,
@@ -96,6 +154,8 @@ async function runGPTTurbo(req, res) {
 	// "gpt-3.5-turbo"
 	// "gpt-3.5-turbo"
 	const { message, currentModel, temperature } = req.body;
 	const { message, currentModel, temperature } = req.body;
 	var input = '';
 	var input = '';
+	const message_history = JSON.parse(message);
+	const query_prompt = message_history.length ? message_history[message_history.length - 1].content : "";
 	try {
 	try {
 		const response = await openai.createChatCompletion({
 		const response = await openai.createChatCompletion({
 			model: `${currentModel}`,
 			model: `${currentModel}`,
@@ -112,6 +172,24 @@ async function runGPTTurbo(req, res) {
 			console.log(e.response);
 			console.log(e.response);
 		}
 		}
 	} finally {
 	} finally {
+
+		let usage = {};
+		let enc = null;
+		try {
+			enc = encoding_for_model(tiktokenModels.includes(currentModel) ? currentModel : 'gpt-3.5-turbo');
+			usage.prompt_tokens = (enc.encode(query_prompt)).length;
+			usage.completion_tokens = (enc.encode(input)).length;
+			usage.total_tokens = usage.prompt_tokens + usage.completion_tokens;
+		} catch (e) {
+			console.log('Error encoding prompt text', e);
+		}
+
+		// TOKEN USAGE
+    axios.post(`${process.env.API_URL}e/set-chat-usage`,
+      { app: 'chatbot', prompt_token: usage.prompt_tokens, total_token: usage.total_tokens },
+      { headers: { 'content-type': 'application/x-www-form-urlencoded' }
+    });
+
 		res.json({
 		res.json({
 			prompt: JSON.parse(message),
 			prompt: JSON.parse(message),
 			message: anchorme({
 			message: anchorme({

@@ -9,7 +9,9 @@
   "author": "",
   "author": "",
   "license": "ISC",
   "license": "ISC",
   "dependencies": {
   "dependencies": {
+    "@dqbd/tiktoken": "^1.0.7",
     "anchorme": "^2.1.2",
     "anchorme": "^2.1.2",
+    "axios": "^1.5.1",
     "body-parser": "^1.20.1",
     "body-parser": "^1.20.1",
     "cors": "^2.8.5",
     "cors": "^2.8.5",
     "dotenv": "^16.0.3",
     "dotenv": "^16.0.3",