mirror of
https://github.com/Mintplex-Labs/anything-llm.git
synced 2024-11-19 20:50:09 +01:00
d072875e43
* Add piperTTS in-browser text-to-speech * update vite config * Add voice default + change prod public URL * uncheck file * Error handling bump package for better quality and voices * bump package * Remove pre-packed WASM - will not support offline first solution for docker * attach TTSProvider telem
260 lines
8.3 KiB
JavaScript
260 lines
8.3 KiB
JavaScript
const { v4: uuidv4 } = require("uuid");
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const { reqBody, userFromSession, multiUserMode } = require("../utils/http");
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const { validatedRequest } = require("../utils/middleware/validatedRequest");
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const { WorkspaceChats } = require("../models/workspaceChats");
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const { SystemSettings } = require("../models/systemSettings");
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const { Telemetry } = require("../models/telemetry");
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const { streamChatWithWorkspace } = require("../utils/chats/stream");
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const {
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ROLES,
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flexUserRoleValid,
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} = require("../utils/middleware/multiUserProtected");
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const { EventLogs } = require("../models/eventLogs");
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const {
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validWorkspaceAndThreadSlug,
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validWorkspaceSlug,
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} = require("../utils/middleware/validWorkspace");
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const { writeResponseChunk } = require("../utils/helpers/chat/responses");
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const { WorkspaceThread } = require("../models/workspaceThread");
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const truncate = require("truncate");
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function chatEndpoints(app) {
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if (!app) return;
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app.post(
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"/workspace/:slug/stream-chat",
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[validatedRequest, flexUserRoleValid([ROLES.all]), validWorkspaceSlug],
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async (request, response) => {
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try {
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const user = await userFromSession(request, response);
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const { message, attachments = [] } = reqBody(request);
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const workspace = response.locals.workspace;
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if (!message?.length) {
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response.status(400).json({
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id: uuidv4(),
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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: !message?.length ? "Message is empty." : null,
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});
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return;
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}
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response.setHeader("Cache-Control", "no-cache");
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response.setHeader("Content-Type", "text/event-stream");
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response.setHeader("Access-Control-Allow-Origin", "*");
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response.setHeader("Connection", "keep-alive");
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response.flushHeaders();
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if (multiUserMode(response) && user.role !== ROLES.admin) {
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const limitMessagesSetting = await SystemSettings.get({
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label: "limit_user_messages",
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});
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const limitMessages = limitMessagesSetting?.value === "true";
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if (limitMessages) {
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const messageLimitSetting = await SystemSettings.get({
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label: "message_limit",
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});
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const systemLimit = Number(messageLimitSetting?.value);
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if (!!systemLimit) {
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const currentChatCount = await WorkspaceChats.count({
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user_id: user.id,
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createdAt: {
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gte: new Date(new Date() - 24 * 60 * 60 * 1000),
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},
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});
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if (currentChatCount >= systemLimit) {
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writeResponseChunk(response, {
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id: uuidv4(),
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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: `You have met your maximum 24 hour chat quota of ${systemLimit} chats set by the instance administrators. Try again later.`,
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});
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return;
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}
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}
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}
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}
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await streamChatWithWorkspace(
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response,
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workspace,
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message,
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workspace?.chatMode,
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user,
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null,
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attachments
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);
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await Telemetry.sendTelemetry("sent_chat", {
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multiUserMode: multiUserMode(response),
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LLMSelection: process.env.LLM_PROVIDER || "openai",
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Embedder: process.env.EMBEDDING_ENGINE || "inherit",
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VectorDbSelection: process.env.VECTOR_DB || "lancedb",
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multiModal: Array.isArray(attachments) && attachments?.length !== 0,
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TTSSelection: process.env.TTS_PROVIDER || "native",
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});
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await EventLogs.logEvent(
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"sent_chat",
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{
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workspaceName: workspace?.name,
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chatModel: workspace?.chatModel || "System Default",
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},
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user?.id
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);
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response.end();
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} catch (e) {
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console.error(e);
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writeResponseChunk(response, {
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id: uuidv4(),
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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: e.message,
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});
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response.end();
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}
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}
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);
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app.post(
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"/workspace/:slug/thread/:threadSlug/stream-chat",
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[
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validatedRequest,
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flexUserRoleValid([ROLES.all]),
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validWorkspaceAndThreadSlug,
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],
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async (request, response) => {
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try {
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const user = await userFromSession(request, response);
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const { message, attachments = [] } = reqBody(request);
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const workspace = response.locals.workspace;
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const thread = response.locals.thread;
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if (!message?.length) {
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response.status(400).json({
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id: uuidv4(),
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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: !message?.length ? "Message is empty." : null,
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});
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return;
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}
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response.setHeader("Cache-Control", "no-cache");
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response.setHeader("Content-Type", "text/event-stream");
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response.setHeader("Access-Control-Allow-Origin", "*");
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response.setHeader("Connection", "keep-alive");
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response.flushHeaders();
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if (multiUserMode(response) && user.role !== ROLES.admin) {
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const limitMessagesSetting = await SystemSettings.get({
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label: "limit_user_messages",
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});
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const limitMessages = limitMessagesSetting?.value === "true";
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if (limitMessages) {
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const messageLimitSetting = await SystemSettings.get({
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label: "message_limit",
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});
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const systemLimit = Number(messageLimitSetting?.value);
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if (!!systemLimit) {
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// Chat qty includes all threads because any user can freely
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// create threads and would bypass this rule.
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const currentChatCount = await WorkspaceChats.count({
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user_id: user.id,
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createdAt: {
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gte: new Date(new Date() - 24 * 60 * 60 * 1000),
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},
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});
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if (currentChatCount >= systemLimit) {
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writeResponseChunk(response, {
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id: uuidv4(),
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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: `You have met your maximum 24 hour chat quota of ${systemLimit} chats set by the instance administrators. Try again later.`,
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});
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return;
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}
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}
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}
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}
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await streamChatWithWorkspace(
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response,
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workspace,
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message,
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workspace?.chatMode,
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user,
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thread,
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attachments
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);
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// If thread was renamed emit event to frontend via special `action` response.
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await WorkspaceThread.autoRenameThread({
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thread,
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workspace,
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user,
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newName: truncate(message, 22),
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onRename: (thread) => {
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writeResponseChunk(response, {
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action: "rename_thread",
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thread: {
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slug: thread.slug,
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name: thread.name,
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},
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});
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},
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});
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await Telemetry.sendTelemetry("sent_chat", {
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multiUserMode: multiUserMode(response),
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LLMSelection: process.env.LLM_PROVIDER || "openai",
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Embedder: process.env.EMBEDDING_ENGINE || "inherit",
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VectorDbSelection: process.env.VECTOR_DB || "lancedb",
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multiModal: Array.isArray(attachments) && attachments?.length !== 0,
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TTSSelection: process.env.TTS_PROVIDER || "native",
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});
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await EventLogs.logEvent(
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"sent_chat",
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{
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workspaceName: workspace.name,
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thread: thread.name,
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chatModel: workspace?.chatModel || "System Default",
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},
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user?.id
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);
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response.end();
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} catch (e) {
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console.error(e);
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writeResponseChunk(response, {
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id: uuidv4(),
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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: e.message,
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});
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response.end();
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}
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}
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);
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}
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module.exports = { chatEndpoints };
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