Fix up NodeJS install GPU side

This reverts commit bd5ef4db9a.

Dockerfile.gpu

@@ -0,0 +1,23 @@
+FROM nvidia/cuda:12.1.1-devel-ubuntu20.04
+ENV DEBIAN_FRONTEND noninteractive
+
+WORKDIR /app
+
+RUN apt update
+
+RUN apt install sudo curl -y
+
+RUN apt-get install -y ca-certificates curl gnupg
+RUN sudo mkdir -p /etc/apt/keyrings
+RUN curl -fsSL https://deb.nodesource.com/gpgkey/nodesource-repo.gpg.key | sudo gpg --dearmor -o /etc/apt/keyrings/nodesource.gpg
+ENV NODE_MAJOR=18
+RUN echo "deb [signed-by=/etc/apt/keyrings/nodesource.gpg] https://deb.nodesource.com/node_$NODE_MAJOR.x nodistro main" | sudo tee /etc/apt/sources.list.d/nodesource.list
+RUN apt-get update
+RUN apt-get install nodejs -y
+
+COPY package*.json ./
+RUN npm install --omit=dev
+
+COPY . .
+
+CMD node llamabot.js

README.md

@@ -78,4 +78,26 @@ This will automatically configure the API for you as well as the bot in two sepe
 5. `docker compose up -d`
 
 
+# Docker Compose with GPU
+This will automatically configure the API that supports cuBLAS and GPU inference for you as well as the bot in two seperate containers within a stack.
+
+NOTE: Caching for GPU has been fixed.
+
+1. `git clone https://git.ssh.surf/snxraven/llama-cpp-python-djs-bot.git` - Clone the repo
+
+2. `mv docker-compose.yml docker-compose.nogpu.yml; mv docker-compose.gpu.yml docker-compose.yml;` - Move nongpu compose out of the way, Enable GPU Support
+
+3. `mv Dockerfile Dockerfile.nongpu; mv Dockerfile.gpu Dockerfile;` - Move nongpu Dockerfile out of the way, enable GPU Support
+
+3. `cp default.gpu.env .env` - Copy the default GPU .env to its proper location
+
+4. Set DATA_DIR in .env to the exact location of your model files.
+
+5. Edit docker-compose.yaml MODEL to ensure the correct model bin is set
+
+6. set N_GPU_LAYERS to the amount of layers you would like to export to GPU
+
+7. `docker compose up -d`
+
+
 Want to make this better? Issue a pull request!

default.env

@@ -1,13 +1,58 @@
-THE_TOKEN = "DISCORD_TOKEN_HERE"
-CHANNEL_IDS = 1094494101631680653,1094628334727614605
-INIT_PROMPT = "Assistant name: ChatAI. You code, write and provide any information without any mistakes."
-ROOT_PORT = 8000
-DATA_DIR = /home/USERNAME/weights
-CACHE = 1
-N_THREADS = 4
-MAX_TOKENS = 1024
+# Discord Token
+THE_TOKEN = ""
+
+# The Channel IDs the bot will operate in seperated by commas
+CHANNEL_IDS = 
+
+# The INIT prompt for all conversations.
+INIT_PROMPT = "Assistant name: ChatAI. You code, write and provide any information without any mistakes. You can read basic text from URLs if a user sends a user via scraping."
+
+# Loading Emebed Refresh Timing
+REFRESH_INTERVAL=2
+
+# When a message is too large for discord we chunk the response into seperate messages.
+# To ensure we do not rate limit the bot we send these at a delay interval.
+# DEFAULT: 3 a good setting is between 3 and 7 seconds.
+OVERFLOW_DELAY=3
+
+# Max Content to fetch from given URLs
+MAX_CONTENT_LENGTH=2000
+
+# Max tokens for Generations
+MAX_TOKENS = 1499
 
 # ROOT_IP is only used when running the bot without docker compose
-ROOT_IP = 192.168.0.15
+ROOT_IP = 127.0.0.1
 
+# PORT  is only used when running the bot without docker compose
+ROOT_PORT = 8000
 
+# Directory to your models (llama.cpp specfic settings)
+DATA_DIR = /Users/username/code/models
+
+# Enable Expirmental Message Caches (Limited to single session)
+# Cache will use ~1.4 GB or MORE of RAM. ONLY ENABLE IF YOUR SYSTEM CAN HANDLE THIS.
+CACHE = 1
+
+CACHE_TYPE = "disk"
+
+# Set number of threads to use, currently, a standard thread will utilize 1 whole core
+# I usually will set this between all cores I physcally have OR 2 cores less to allow for other processes.
+N_THREADS = 10
+
+# Always use MMAP unless you know what you are doing
+#USE_MMAP=1
+
+# Only use MLOCK if you know what it does!
+USE_MLOCK=0
+
+# The higher the number the more hard core.
+REPEAT_PENALTY=1
+
+# GPU SPECIFIC SETTINGS BELOW
+
+GPU=0
+
+N_GPU_LAYERS=32
+
+PYTHONUNBUFFERED=1

docker-compose.gpu.yml

@@ -0,0 +1,34 @@
+version: '3.9'
+
+services:
+  backend:
+    container_name: llama-gpu-server
+    restart: unless-stopped
+    build:
+      context: ./gpu-server
+    env_file: .env
+    volumes:
+      - ${DATA_DIR}:/usr/src/app/models
+    environment:
+      - HOST=llama-gpu-server
+      - MODEL=./models/ggml-vic7b-q5_1.bin.1
+      - NVIDIA_VISIBLE_DEVICES=all
+    runtime: nvidia
+    
+  frontend:
+    container_name: llama-djs-bot
+    restart: unless-stopped
+    build:
+      context: .
+    depends_on:
+      - backend
+    environment:
+      - THE_TOKEN
+      - REFRESH_INTERVAL
+      - CHANNEL_IDS
+      - GPU
+      - ROOT_IP=llama-gpu-server
+      - ROOT_PORT=8000
+      - INIT_PROMPT='Assistant Name':' ChatAI. You code, write and provide any information without any mistakes.'
+      - NVIDIA_VISIBLE_DEVICES=all
+    runtime: nvidia

docker-compose.yml

@@ -11,7 +11,7 @@ services:
       - ${DATA_DIR}:/usr/src/app/models
     environment:
       - HOST=llama-python-server
-      - MODEL=./models/gpt4-x-alpaca-13b-native-4bit-128g.bin
+      - MODEL=./models/vicuna-7b-1.1.ggmlv3.q6_K.bin
   llama-python-djs-bot:
     container_name: llama-python-djs-bot
     restart: unless-stopped
@@ -21,6 +21,8 @@ services:
       - llama-python-server
     environment:
       - THE_TOKEN
+      - GPU
+      - REFRESH_INTERVAL
       - CHANNEL_IDS
       - ROOT_IP=llama-python-server
       - ROOT_PORT=8000

gpu-server/Dockerfile

@@ -0,0 +1,19 @@
+FROM nvidia/cuda:12.1.1-devel-ubuntu20.04
+
+# Install the deps
+ENV DEBIAN_FRONTEND=noninteractive
+ENV TZ=Etc/GMT
+RUN apt-get update && apt-get install -y --no-install-recommends python3 python3-pip git cmake build-essential
+# Get llama-cpp-python
+WORKDIR /usr/src
+
+WORKDIR /usr/src/app 
+
+# Build llama-cpp-python w/CuBLAS
+RUN CMAKE_ARGS="-DLLAMA_CUBLAS=on" FORCE_CMAKE=1 pip install llama-cpp-python[server]
+
+# We need to set the host to 0.0.0.0 to allow outside access
+ENV HOST 0.0.0.0
+
+# Run the server
+CMD python3 -m llama_cpp.server

huggingface-config/Dockerfile

@@ -0,0 +1,48 @@
+FROM ubuntu:latest
+
+RUN apt update
+
+RUN DEBIAN_FRONTEND=noninteractive  apt install curl sudo -y
+
+RUN apt-get install -y ca-certificates curl gnupg
+RUN sudo mkdir -p /etc/apt/keyrings
+RUN curl -fsSL https://deb.nodesource.com/gpgkey/nodesource-repo.gpg.key | sudo gpg --dearmor -o /etc/apt/keyrings/nodesource.gpg
+ENV NODE_MAJOR=18
+RUN echo "deb [signed-by=/etc/apt/keyrings/nodesource.gpg] https://deb.nodesource.com/node_$NODE_MAJOR.x nodistro main" | sudo tee /etc/apt/sources.list.d/nodesource.list
+RUN apt-get update
+RUN apt-get install nodejs -y 
+
+RUN DEBIAN_FRONTEND=noninteractive  apt install nodejs -y
+
+RUN npm i pm2 -g
+
+RUN mkdir -p /code/.pm2
+
+RUN mkdir -p /.pm2
+
+RUN chmod 0777 /code/.pm2 
+
+RUN chmod 0777 /.pm2
+
+RUN DEBIAN_FRONTEND=noninteractive  apt install wget python3 python3-pip -y
+
+WORKDIR /code
+
+RUN pip install --no-cache-dir llama-cpp-python[server]
+
+COPY . .
+
+RUN npm i
+
+ENV HOST localhost
+ENV PORT 7860
+ENV MODEL=/code/mistral-7b-instruct-v0.1.Q2_K.gguf
+ENV CACHE=1
+ENV USE_MLOCK=0
+ENV REPEAT_PENALTY=1
+ENV MODEL=/code/mistral-7b-instruct-v0.1.Q2_K.gguf
+ENV PM2_HOME=/code/.pm2
+
+RUN wget -q -O mistral-7b-instruct-v0.1.Q2_K.gguf "https://huggingface.co/TheBloke/Mistral-7B-Instruct-v0.1-GGUF/resolve/main/mistral-7b-instruct-v0.1.Q2_K.gguf?download=true"
+
+CMD /bin/bash /code/start.sh

huggingface-config/README.md

@@ -0,0 +1,17 @@
+# How to Deploy on Hugging Face
+
+1) Move the "assets" directory and llamabot.js, package.json files into your HuggingFace repo directory.
+
+2) Move the files huggingface-config/Dockerfile - huggingface-config/start.sh - huggingface-config/startServices.json into the root of the hugging face repo.
+
+3) Edit Docker file as you need, the dockerfile is set to automatically download Vicuna 1.1 7B
+
+3) Move default.env into your repo as .env and edit for your needs
+
+4) Push the changes
+
+You should then see the bot being built and deployed on HuggingFace
+
+pm2 log will run automatically so you can see frontend and backend logs.
+
+PLEASE NOTE: Your hugging face repo should remain private!

huggingface-config/start.sh

@@ -0,0 +1,6 @@
+#!/bin/bash
+# This is the main process of the container and will stay alive as long as pm2 log is running.
+
+pm2 start startServices.json
+
+pm2 log

huggingface-config/startServices.json

@@ -0,0 +1,14 @@
+{
+    "apps": [
+        {
+            "name": "Discord-Bot",
+            "script": "node /code/llamabot.js",
+            "args" : ""
+        },
+        {
+            "name": "AI-API",
+            "script": "python3 -m llama_cpp.server",
+            "args" : ""
+        }
+    ]
+}

llamabot.js

@@ -5,6 +5,8 @@ import { resetResponses, userResetMessages } from './assets/resetMessages.js';
 import { errorMessages, busyResponses } from './assets/errorMessages.js';
 import cpuStat from 'cpu-stat';
 import os from 'os';
+import smi from 'node-nvidia-smi';
+import llamaTokenizer from 'llama-tokenizer-js'
 
 import {
     Client,
@@ -27,8 +29,14 @@ const client = new Client({
 // Grab ChannelIDs from the .env file
 const channelIDs = process.env.CHANNEL_IDS.split(',');
 
+// Store Conversations in a MAP
 const conversations = new Map();
 
+let botMessage; // define a variable to hold the message object
+
+
+// Set busy function this allows us to set our bot into busy mode
+// locking out all other tasks until the current one is complete
 function setBusy(userId, isBusy) {
     if (conversations.has(userId)) {
         conversations.get(userId).busy = isBusy;
@@ -39,6 +47,8 @@ function setBusy(userId, isBusy) {
     }
 }
 
+// General check, if any conversation is busy
+// If yes, flag it and let us know
 function isAnyConversationBusy() {
     for (const conversation of conversations.values()) {
         if (conversation.busy) {
@@ -49,6 +59,7 @@ function isAnyConversationBusy() {
     return false;
 }
 
+// Setting our precence to busy within the bots status
 function setPresenceBusy() {
     client.user.setPresence({
         activities: [{
@@ -59,6 +70,8 @@ function setPresenceBusy() {
     });
 }
 
+
+// Setting our precence to ready within the bots status
 function setPresenceOnline() {
     client.user.setPresence({
         activities: [{
@@ -70,18 +83,23 @@ function setPresenceOnline() {
 }
 
 
+// When we have logged in to discord api
+// Set precence to online.
 client.once('ready', () => {
     console.log('Bot is ready.');
     setPresenceOnline()
 });
 
+// When a message is sent within discord, lets handle it.
 client.on('messageCreate', async (message) => {
 
+    // Function to send a random message from any array
     async function sendRand(array) {
         const arrayChoice = array[Math.floor(Math.random() * array.length)];
         await message.channel.send(arrayChoice); // give a notification of reset using a human like response.
     }
 
+    // Function to send a random Direct Message from any array
     async function sendRandDM(array) {
         const arrayChoice = array[Math.floor(Math.random() * array.length)];
         await message.author.send(arrayChoice); // give a notification of reset using a human like response.
@@ -92,7 +110,8 @@ client.on('messageCreate', async (message) => {
         return;
     }
 
-    if (message.author.bot) return; // Ignore messages from bots
+    // Always ignore bots!
+    if (message.author.bot) return;
 
     // Check if any conversation is busy
     if (isAnyConversationBusy()) {
@@ -102,12 +121,18 @@ client.on('messageCreate', async (message) => {
         sendRandDM(busyResponses);
         return;
     }
+
+    // Set user ID and get our conversation.
     const userID = message.author.id;
     let conversation = conversations.get(userID) || {
         messages: [],
         busy: false
     };
 
+    // If we do not have a conversation, lets generate one.
+    // This requires a chatflow for the API.
+    // Its better to have a default beginning conversation
+    // Providing context for the AI Model.
     if (conversation.messages.length === 0) {
         conversation.messages.push({
             role: 'user',
@@ -123,12 +148,15 @@ client.on('messageCreate', async (message) => {
         });
     }
 
+    // If a user needs a reset, we delete their MAP
     if (message.content === '!reset' || message.content === '!r') {
         conversations.delete(userID); // Delete user's conversation map if they request reset
         sendRand(userResetMessages)
         return;
     }
 
+    // Begin processing our conversation, this is our main work flow.
+
     // Append user message to conversation history
     conversation.messages.push({
         role: 'user',
@@ -136,12 +164,18 @@ client.on('messageCreate', async (message) => {
     });
 
     try {
+
+        // Now we have our conversation set up
+        // Lets set precence to busy
+        // We also will set our conversations MAP to busy
+        // Locking out all other tasks
         setPresenceBusy()
         setBusy(message.author.id, true);
 
+        // Lets start generating the response
         const response = await generateResponse(conversation, message);
 
-        // Append bot message to conversation history
+        // Append bot message to conversation history when it is ready
         conversation.messages.push({
             role: 'assistant',
             content: response
@@ -153,18 +187,27 @@ client.on('messageCreate', async (message) => {
 
             // if we are over the discord char limit we need chunks...
             if (response.length > limit) {
-              const chunks = response.match(new RegExp(`.{1,${limit}}`, "g"));
-              for (let i = 0; i < chunks.length; i++) {
-                setTimeout(() => {
-                  message.channel.send(chunks[i]);
-                }, i * 3000); // delay of 3 seconds between each chunk to save on API requests
-              }
-            } else {
-              // We are good to go, send the response
-              await message.channel.send(response);
-            }
 
+                // We are going to check all of the message chunks if our response is too large for discord.
+                // We can extend our message size using chunks, the issue? 
+                // Users can abuse this feature, we lock this to 15 to avoid API Abuse.
+                const chunks = response.match(new RegExp(`.{1,${limit}}`, "g"));
+                if (chunks.length >= 40) return await message.channel.send("Response chunks too large. Try again");
+
+                // If we do now have too many chunks, lets send each one using our overflow delay
+                for (let i = 0; i < chunks.length; i++) {
+                    setTimeout(() => {
+                        message.channel.send(chunks[i]);
+                    }, i * (process.env.OVERFLOW_DELAY || 3) * 1000); // delay of 3 seconds between each chunk to save on API requests
+                }
+
+            } else {
+                // We are good to go message is not too large for discord, send the response
+                await message.channel.send(response.replace("@", ""));
+            }
+            // We have completed our task, lets go online
             setPresenceOnline()
+            // set our conversation MAP to not busy
             setBusy(message.author.id, false);
         } else {
             // Handle empty response here
@@ -174,89 +217,284 @@ client.on('messageCreate', async (message) => {
             setPresenceOnline()
             conversation.busy = false;
         }
+
         conversations.set(userID, conversation); // Update user's conversation map in memory
+
+        // Print the current conversation as it stands
+        console.log(conversation)
     } catch (err) {
+        // If we have any errors lets send a response
         console.error(err);
-        sendRand(errorMessages)
+        return sendRand(errorMessages)
     } finally {
+        // We are done! Lets finish up going online
         setPresenceOnline()
         setBusy(message.author.id, false);
     }
 });
 
+// Import cheerio for scraping
+import cheerio from 'cheerio';
 
 async function generateResponse(conversation, message) {
+    // Begin web scraper if a https:// OR http:// URL is detected
+    // Check if message contains a URL
+    const urlRegex = /(https?:\/\/[^\s]+)/g;
+    // Match our REGEX
+    const urls = message.content.match(urlRegex);
+
+    if (urls) {
+        // If there are multiple URLs, process them one by one
+        for (const url of urls) {
+            try {
+                const res = await fetch(url);
+                const html = await res.text();
+                const $ = cheerio.load(html);
+
+                // Extract page title, meta description and content
+                const pageTitle = $('head title').text().trim();
+                const pageDescription = $('head meta[name="description"]').attr('content');
+                const pageContent = $('body').text().trim();
+
+                // Construct response message with page details
+                let response = `Title: ${pageTitle}\n`;
+                if (pageDescription) {
+                    response += `Description: ${pageDescription}\n`;
+                }
+                if (pageContent) {
+                    // Lets check for content and grab only the amount as configured.
+                    const MAX_CONTENT_LENGTH = process.env.MAX_CONTENT_LENGTH;
+                    let plainTextContent = $('<div>').html(pageContent).text().trim().replace(/[\r\n\t]+/g, ' ');
+                    // Clean up code remove it from processing
+                    const codePattern = /\/\/|\/\*|\*\/|\{|\}|\[|\]|\bfunction\b|\bclass\b|\b0x[0-9A-Fa-f]+\b|\b0b[01]+\b/;
+                    const isCode = codePattern.test(plainTextContent);
+
+                    if (isCode) {
+                        plainTextContent = plainTextContent.replace(codePattern, '');
+                    }
+                    // Remove anything enclosed in brackets JUNK DATA
+                    plainTextContent = plainTextContent.replace(/ *\([^)]*\) */g, '');
+                    if (plainTextContent.length > MAX_CONTENT_LENGTH) {
+                        plainTextContent = plainTextContent.substring(0, MAX_CONTENT_LENGTH) + '...';
+                    }
+                    response += `Content: ${plainTextContent.trim()}`;
+                }
+                response += `URL: ${url}`;
+
+                // Get the index of the last message in the array
+                const lastMessageIndex = conversation.messages.length - 1;
+
+                // Append a new line and the new content to the existing content of the last message
+                conversation.messages[lastMessageIndex].content += "\n" + response;
+
+                console.log("A URL was provided, response: " + response)
+
+            } catch (err) {
+                console.error(err);
+                return sendRand(errorMessages);
+            }
+        }
+    }
+
+    // We need an abort controller to stop our progress message editor
     const controller = new AbortController();
+    // Set our timeout for the controller
     const timeout = setTimeout(() => {
         controller.abort();
     }, 900000);
 
+    // Copy our messages from MAP
     const messagesCopy = [...conversation.messages]; // create a copy of the messages array
 
-    let botMessage; // define a variable to hold the message object
     let time = 0
     // define a function that shows the system load percentage and updates the message
     const showSystemLoad = async () => {
-        time = time + 7;
-        cpuStat.usagePercent(function(err, percent, seconds) {
-          if (err) {
-            return console.log(err);
-          }
+        // Configure our inital time
+        time = Number(time) + Number(process.env.REFRESH_INTERVAL);
+        // Get system stats
+        cpuStat.usagePercent(function (err, percent, seconds) {
+            if (err) {
+                return console.log(err);
+            }
+            // Setting out system stat vars
+            const systemLoad = percent;
+            const freeMemory = os.freemem() / 1024 / 1024 / 1024;
+            const totalMemory = os.totalmem() / 1024 / 1024 / 1024;
+            const usedMemory = totalMemory - freeMemory;
 
-          const systemLoad = percent;
-          const freeMemory = os.freemem() / 1024 / 1024 / 1024;
-          const totalMemory = os.totalmem() / 1024 / 1024 / 1024;
-          const usedMemory = totalMemory - freeMemory;
+            // lets build some embed data
+            let embedData;
 
-          const embedData = {
-            color: 0x0099ff,
-            title: 'Please wait.. I am Thinking...',
-            fields: [
-              {
-                name: 'System Load',
-                value: `${systemLoad.toFixed(2)}%`,
-              },
-              {
-                name: 'Memory Usage',
-                value: `${usedMemory.toFixed(2)} GB / ${totalMemory.toFixed(2)} GB`,
-              },
-              {
-                name: 'Time',
-                value: `~${time} seconds.`,
-              },
-            ],
-          };
+            // If we have NO GPU config lets send system stats only
+            if (process.env.GPU == 0) {
+                embedData = {
+                    color: 0x0099ff,
+                    title: 'Please wait.. I am thinking...',
+                    fields: [
+                        {
+                            name: 'System Load',
+                            value: `${systemLoad.toFixed(2)}%`,
+                        },
+                        {
+                            name: 'Memory Usage',
+                            value: `${usedMemory.toFixed(2)} GB / ${totalMemory.toFixed(2)} GB`,
+                        },
+                        {
+                            name: 'Time',
+                            value: `~${time} seconds.`,
+                        },
+                    ],
+                };
+                // if the message object doesn't exist, create it
+                if (!botMessage) {
+                    (async () => {
+                        if (time == 0) return
+                        botMessage = await message.channel.send({ embeds: [embedData] });
+                    })();
+                } else {
+                    (async () => {
+                        if (!isAnyConversationBusy()) {
+                            botMessage.delete()
+                        } else {
+                            await botMessage.edit({ embeds: [embedData] }); // otherwise, update the message
+                        }
+                    })();
+                }
+            } else {
+                // If we do have GPU=1 lets send some card info too!
+                smi(function (err, data) {
+                    if (err) {
+                        // Handle error if smi function fails
+                        console.error(err);
+                        return;
+                    }
 
-          // if the message object doesn't exist, create it
-          if (!botMessage) {
-            (async () => {
-              botMessage = await message.channel.send({ embeds: [embedData] });
-            })();
-          } else {
-            botMessage.edit({ embeds: [embedData] }); // otherwise, update the message
-          }
+                    let utilization = data.nvidia_smi_log.gpu.utilization;
+                    let gpuUtilization = utilization.gpu_util;
+                    let memoryUtilization = utilization.memory_util;
+                    let gpuTemp = data.nvidia_smi_log.gpu.temperature.gpu_temp;
+
+                    // These are not used until nvidia-docker fixes their support
+                    let gpuTarget = data.nvidia_smi_log.gpu.temperature.gpu_target_temperature;
+                    let gpuFanSpeed = data.nvidia_smi_log.gpu.fan_speed;
+                    embedData = {
+                        color: 0x0099ff,
+                        title: 'Please wait.. I am thinking...',
+                        fields: [
+                            {
+                                name: 'System Load',
+                                value: `${systemLoad.toFixed(2)}%`,
+                            },
+                            {
+                                name: 'Memory Usage',
+                                value: `${usedMemory.toFixed(2)} GB / ${totalMemory.toFixed(2)} GB`,
+                            },
+                            {
+                                name: 'GPU Utilization',
+                                value: `${gpuUtilization}`,
+                            },
+                            {
+                                name: 'Memory Utilization',
+                                value: `${memoryUtilization}`,
+                            },
+                            {
+                                name: 'GPU Temperature',
+                                value: `${gpuTemp}`,
+                            },
+                            {
+                                name: 'Time',
+                                value: `~${time} seconds.`,
+                            },
+                        ],
+                    };
+                    // if the message object doesn't exist, create it
+                    if (!botMessage) {
+                        (async () => {
+                            if (time == 0) return
+                            botMessage = await message.channel.send({ embeds: [embedData] });
+                        })();
+                    } else {
+                        (async () => {
+                            if (!isAnyConversationBusy()) {
+                                botMessage.delete()
+                            } else {
+                                await botMessage.edit({ embeds: [embedData] }); // otherwise, update the message
+                            }
+                        })();
+                    }
+                })
+            }
         });
-      };
-
-    // call the function initially
-    await showSystemLoad();
-
-    // refresh the system load percentage and update the message every 7 seconds
-    const refreshInterval = setInterval(showSystemLoad, 7000);
+    };
 
     try {
+
+        // call the function initially
+        await showSystemLoad();
+
+        // Grab the REFRESH_INTERVAL from ENV if not exist, lets use 7 (seconds)
+        const refreshInterval = setInterval(showSystemLoad, (process.env.REFRESH_INTERVAL || 7) * 1000);
+
+        function countLlamaTokens(messages) {
+            let totalTokens = 0;
+
+            for (const message of messages) {
+                if (message.role === 'user' || message.role === 'assistant') {
+                    const encodedTokens = llamaTokenizer.encode(message.content);
+                    totalTokens += encodedTokens.length;
+                }
+            }
+
+            return totalTokens;
+        }
+
+        let totalTokens = countLlamaTokens(messagesCopy);
+        console.log(`Total Llama tokens: ${totalTokens}`);
+        let tokenLength = totalTokens
+
+        // Remove older conversations if necessary
+        const maxLength = 1800;
+        const tolerance = 25; // allow for some flexibility in the token length
+        if (tokenLength > maxLength + tolerance) {
+            const diff = tokenLength - (maxLength + tolerance);
+            let removedTokens = 0;
+
+            // Iterate over the messages in reverse order
+            for (let i = messagesCopy.length - 1; i >= 0; i--) {
+                const message = messagesCopy[i];
+                const messageTokens = countLlamaTokens([message]);
+
+                // Check if the current message plus the tokens in the message is less than or equal to the diff
+                if (removedTokens + messageTokens <= diff) {
+                    messagesCopy.splice(i, 1);
+                    removedTokens += messageTokens;
+                    console.log(removedTokens + " removed \nAfter Resize: " + countLlamaTokens(messagesCopy));
+                } else {
+                    // Remove more than one message if necessary to bring the total length below the maximum allowed length
+                    const messagesToRemove = Math.floor(diff / messageTokens);
+                    for (let j = 0; j < messagesToRemove; j++) {
+                        messagesCopy.splice(i, 1);
+                        removedTokens += messageTokens;
+                    }
+                    break;
+                }
+            }
+        }
+        // Sending request to our API
         const response = await fetch(`http://${process.env.ROOT_IP}:${process.env.ROOT_PORT}/v1/chat/completions`, {
             method: 'POST',
             headers: {
-              'accept': 'application/json',
-              'Content-Type': 'application/json'
+                'accept': 'application/json',
+                'Content-Type': 'application/json'
             },
             body: JSON.stringify({
-              messages: messagesCopy,
-              max_tokens: Number(process.env.MAX_TOKENS) // add the max_tokens parameter here
+                messages: messagesCopy,
+                max_tokens: Number(process.env.MAX_TOKENS), // add the max_tokens parameter here
+                repeat_penalty: Number(process.env.REPEAT_PENALTY)
+
             }),
             signal: controller.signal
-          });
+        });
 
         const responseData = await response.json();
         console.log(JSON.stringify(responseData));
@@ -265,9 +503,18 @@ async function generateResponse(conversation, message) {
         const responseText = choice.message.content;
 
         // clear the interval, replace the "please wait" message with the response, and update the message
-        clearInterval(refreshInterval);
         console.log(responseText);
-        botMessage.delete()
+        try {
+        if (time > 2) {
+        await botMessage.delete();
+        clearInterval(refreshInterval);
+        botMessage = null;
+        console.log("Time limit reached. Message deleted.");
+       }
+      } catch (err) {
+      console.log("Error deleting message: ", err);
+     }
+
 
         return responseText;
 
@@ -275,6 +522,7 @@ async function generateResponse(conversation, message) {
         throw err;
     } finally {
         clearTimeout(timeout);
+        botMessage = null;
         time = 0
     }
 }

package-lock.json

@@ -0,0 +1,757 @@
+{
+  "name": "llama-cpp-python-djs-bot",
+  "version": "1.0.0",
+  "lockfileVersion": 3,
+  "requires": true,
+  "packages": {
+    "": {
+      "name": "llama-cpp-python-djs-bot",
+      "version": "1.0.0",
+      "license": "ISC",
+      "dependencies": {
+        "cheerio": "^1.0.0-rc.12",
+        "cpu-stat": "^2.0.1",
+        "discord.js": "^14.9.0",
+        "dotenv": "^16.0.3",
+        "gpt-tokenizer": "^2.1.1",
+        "llama-tokenizer-js": "^1.0.0",
+        "node-fetch": "^3.3.1",
+        "node-nvidia-smi": "^1.0.0",
+        "os": "^0.1.2",
+        "tiktoken": "^1.0.10"
+      }
+    },
+    "node_modules/@discordjs/builders": {
+      "version": "1.6.3",
+      "resolved": "https://registry.npmjs.org/@discordjs/builders/-/builders-1.6.3.tgz",
+      "integrity": "sha512-CTCh8NqED3iecTNuiz49mwSsrc2iQb4d0MjMdmS/8pb69Y4IlzJ/DIy/p5GFlgOrFbNO2WzMHkWKQSiJ3VNXaw==",
+      "dependencies": {
+        "@discordjs/formatters": "^0.3.1",
+        "@discordjs/util": "^0.3.1",
+        "@sapphire/shapeshift": "^3.8.2",
+        "discord-api-types": "^0.37.41",
+        "fast-deep-equal": "^3.1.3",
+        "ts-mixer": "^6.0.3",
+        "tslib": "^2.5.0"
+      },
+      "engines": {
+        "node": ">=16.9.0"
+      }
+    },
+    "node_modules/@discordjs/collection": {
+      "version": "1.5.1",
+      "resolved": "https://registry.npmjs.org/@discordjs/collection/-/collection-1.5.1.tgz",
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+      "engines": {
+        "node": ">=16.9.0"
+      }
+    },
+    "node_modules/@discordjs/formatters": {
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+      "resolved": "https://registry.npmjs.org/@discordjs/formatters/-/formatters-0.3.1.tgz",
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+}

package.json

@@ -10,10 +10,15 @@
   "author": "",
   "license": "ISC",
   "dependencies": {
+    "cheerio": "^1.0.0-rc.12",
+    "cpu-stat": "^2.0.1",
     "discord.js": "^14.9.0",
     "dotenv": "^16.0.3",
+    "gpt-tokenizer": "^2.1.1",
+    "llama-tokenizer-js": "^1.0.0",
     "node-fetch": "^3.3.1",
+    "node-nvidia-smi": "^1.0.0",
     "os": "^0.1.2",
-    "cpu-stat": "^2.0.1"
+    "tiktoken": "^1.0.10"
   }
 }

server/Dockerfile

@@ -1,11 +1,11 @@
-FROM python:bullseye
+FROM ubuntu:latest
 
 RUN apt-get update; \
     apt-get install -y --no-install-recommends \
-    build-essential
+    build-essential cmake python3 python3-pip
 
 WORKDIR /usr/src/app
 
-RUN pip install --no-cache-dir llama-cpp-python[server]
+RUN CMAKE_ARGS="-DLLAMA_METAL=on" FORCE_CMAKE=1 pip install llama-cpp-python[server]
 
 CMD python3 -m llama_cpp.server