mirror of
https://github.com/Mintplex-Labs/anything-llm.git
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193 lines
4.8 KiB
JavaScript
193 lines
4.8 KiB
JavaScript
const { v4: uuidv4 } = require("uuid");
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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, getLLMProvider } = 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 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 LLMConnector = getLLMProvider();
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const VectorDb = getVectorDbClass();
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const { safe, reasons = [] } = await LLMConnector.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 messageLimit = workspace?.openAiHistory || 20;
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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 = (
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user
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? await WorkspaceChats.forWorkspaceByUser(
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workspace.id,
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user.id,
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messageLimit,
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{ id: "desc" }
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)
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: await WorkspaceChats.forWorkspace(workspace.id, messageLimit, {
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id: "desc",
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})
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).reverse();
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const chatHistory = convertToPromptHistory(rawHistory);
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const response = await LLMConnector.sendChat(
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chatHistory,
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message,
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workspace
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);
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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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const rawHistory = (
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user
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? await WorkspaceChats.forWorkspaceByUser(
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workspace.id,
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user.id,
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messageLimit,
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{ id: "desc" }
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)
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: await WorkspaceChats.forWorkspace(workspace.id, messageLimit, {
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id: "desc",
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})
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).reverse();
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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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