mirror of
https://github.com/Mintplex-Labs/anything-llm.git
synced 2024-08-19 20:00:11 +02:00
* multi user wip * WIP MUM features * invitation mgmt * suspend or unsuspend users * workspace mangement * manage chats * manage chats * add Support for admin system settings for users to delete workspaces and limit chats per user * fix issue ith system var update app to lazy load invite page * cleanup and bug fixes * wrong method * update readme * update readme * update readme * bump version to 0.1.0
172 lines
4.3 KiB
JavaScript
172 lines
4.3 KiB
JavaScript
const { v4: uuidv4 } = require("uuid");
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const { OpenAi } = require("../openAi");
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const { WorkspaceChats } = require("../../models/workspaceChats");
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const { resetMemory } = require("./commands/reset");
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const moment = require("moment");
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const { getVectorDbClass } = require("../helpers");
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function convertToChatHistory(history = []) {
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const formattedHistory = [];
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history.forEach((history) => {
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const { prompt, response, createdAt } = history;
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const data = JSON.parse(response);
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formattedHistory.push([
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{
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role: "user",
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content: prompt,
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sentAt: moment(createdAt).unix(),
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},
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{
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role: "assistant",
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content: data.text,
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sources: data.sources || [],
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sentAt: moment(createdAt).unix(),
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},
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]);
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});
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return formattedHistory.flat();
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}
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function convertToPromptHistory(history = []) {
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const formattedHistory = [];
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history.forEach((history) => {
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const { prompt, response } = history;
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const data = JSON.parse(response);
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formattedHistory.push([
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{ role: "user", content: prompt },
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{ role: "assistant", content: data.text },
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]);
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});
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return formattedHistory.flat();
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}
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const VALID_COMMANDS = {
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"/reset": resetMemory,
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};
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function grepCommand(message) {
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const availableCommands = Object.keys(VALID_COMMANDS);
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for (let i = 0; i < availableCommands.length; i++) {
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const cmd = availableCommands[i];
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const re = new RegExp(`^(${cmd})`, "i");
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if (re.test(message)) {
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return cmd;
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}
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}
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return null;
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}
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async function chatWithWorkspace(
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workspace,
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message,
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chatMode = "chat",
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user = null
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) {
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const uuid = uuidv4();
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const openai = new OpenAi();
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const VectorDb = getVectorDbClass();
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const command = grepCommand(message);
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if (!!command && Object.keys(VALID_COMMANDS).includes(command)) {
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return await VALID_COMMANDS[command](workspace, message, uuid, user);
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}
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const { safe, reasons = [] } = await openai.isSafe(message);
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if (!safe) {
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return {
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id: uuid,
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type: "abort",
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textResponse: null,
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sources: [],
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close: true,
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error: `This message was moderated and will not be allowed. Violations for ${reasons.join(
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", "
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)} found.`,
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};
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}
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const hasVectorizedSpace = await VectorDb.hasNamespace(workspace.slug);
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const embeddingsCount = await VectorDb.namespaceCount(workspace.slug);
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if (!hasVectorizedSpace || embeddingsCount === 0) {
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const rawHistory = await WorkspaceChats.forWorkspace(workspace.id);
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const chatHistory = convertToPromptHistory(rawHistory);
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const response = await openai.sendChat(chatHistory, message, workspace);
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const data = { text: response, sources: [], type: "chat" };
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await WorkspaceChats.new({
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workspaceId: workspace.id,
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prompt: message,
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response: data,
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user,
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});
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return {
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id: uuid,
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type: "textResponse",
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textResponse: response,
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sources: [],
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close: true,
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error: null,
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};
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} else {
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var messageLimit = workspace?.openAiHistory;
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const rawHistory = await WorkspaceChats.forWorkspace(
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workspace.id,
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messageLimit
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);
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const chatHistory = convertToPromptHistory(rawHistory);
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const {
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response,
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sources,
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message: error,
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} = await VectorDb[chatMode]({
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namespace: workspace.slug,
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input: message,
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workspace,
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chatHistory,
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});
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if (!response) {
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return {
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id: uuid,
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type: "abort",
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textResponse: null,
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sources: [],
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close: true,
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error,
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};
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}
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const data = { text: response, sources, type: chatMode };
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await WorkspaceChats.new({
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workspaceId: workspace.id,
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prompt: message,
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response: data,
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user,
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});
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return {
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id: uuid,
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type: "textResponse",
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textResponse: response,
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sources,
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close: true,
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error,
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};
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}
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}
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function chatPrompt(workspace) {
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return (
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workspace?.openAiPrompt ??
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"Given the following conversation, relevant context, and a follow up question, reply with an answer to the current question the user is asking. Return only your response to the question given the above information following the users instructions as needed."
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);
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}
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module.exports = {
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convertToChatHistory,
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chatWithWorkspace,
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chatPrompt,
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};
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