675 lines
21 KiB
JavaScript
675 lines
21 KiB
JavaScript
const { v4: uuidv4 } = require("uuid");
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const { Document } = require("../../../models/documents");
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const { Telemetry } = require("../../../models/telemetry");
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const { DocumentVectors } = require("../../../models/vectors");
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const { Workspace } = require("../../../models/workspace");
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const { WorkspaceChats } = require("../../../models/workspaceChats");
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const {
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convertToChatHistory,
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chatWithWorkspace,
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} = require("../../../utils/chats");
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const { getVectorDbClass } = require("../../../utils/helpers");
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const { multiUserMode, reqBody } = require("../../../utils/http");
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const { validApiKey } = require("../../../utils/middleware/validApiKey");
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const {
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streamChatWithWorkspace,
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writeResponseChunk,
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VALID_CHAT_MODE,
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} = require("../../../utils/chats/stream");
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const { EventLogs } = require("../../../models/eventLogs");
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function apiWorkspaceEndpoints(app) {
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if (!app) return;
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app.post("/v1/workspace/new", [validApiKey], async (request, response) => {
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/*
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#swagger.tags = ['Workspaces']
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#swagger.description = 'Create a new workspace'
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#swagger.requestBody = {
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description: 'JSON object containing new display name of workspace.',
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required: true,
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type: 'object',
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content: {
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"application/json": {
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example: {
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name: "My New Workspace",
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}
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}
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}
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}
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#swagger.responses[200] = {
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content: {
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"application/json": {
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schema: {
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type: 'object',
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example: {
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workspace: {
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"id": 79,
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"name": "Sample workspace",
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"slug": "sample-workspace",
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"createdAt": "2023-08-17 00:45:03",
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"openAiTemp": null,
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"lastUpdatedAt": "2023-08-17 00:45:03",
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"openAiHistory": 20,
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"openAiPrompt": null
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},
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message: 'Workspace created'
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}
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}
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}
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}
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}
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#swagger.responses[403] = {
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schema: {
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"$ref": "#/definitions/InvalidAPIKey"
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}
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}
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*/
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try {
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const { name = null } = reqBody(request);
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const { workspace, message } = await Workspace.new(name);
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await Telemetry.sendTelemetry("workspace_created", {
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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 || "pinecone",
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});
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await EventLogs.logEvent("workspace_created", {
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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 || "pinecone",
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});
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response.status(200).json({ workspace, message });
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} catch (e) {
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console.log(e.message, e);
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response.sendStatus(500).end();
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}
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});
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app.get("/v1/workspaces", [validApiKey], async (request, response) => {
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/*
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#swagger.tags = ['Workspaces']
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#swagger.description = 'List all current workspaces'
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#swagger.responses[200] = {
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content: {
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"application/json": {
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schema: {
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type: 'object',
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example: {
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workspaces: [
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{
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"id": 79,
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"name": "Sample workspace",
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"slug": "sample-workspace",
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"createdAt": "2023-08-17 00:45:03",
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"openAiTemp": null,
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"lastUpdatedAt": "2023-08-17 00:45:03",
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"openAiHistory": 20,
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"openAiPrompt": null
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}
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],
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}
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}
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}
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}
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}
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#swagger.responses[403] = {
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schema: {
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"$ref": "#/definitions/InvalidAPIKey"
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}
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}
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*/
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try {
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const workspaces = await Workspace.where();
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response.status(200).json({ workspaces });
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} catch (e) {
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console.log(e.message, e);
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response.sendStatus(500).end();
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}
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});
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app.get("/v1/workspace/:slug", [validApiKey], async (request, response) => {
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/*
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#swagger.tags = ['Workspaces']
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#swagger.description = 'Get a workspace by its unique slug.'
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#swagger.path = '/v1/workspace/{slug}'
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#swagger.parameters['slug'] = {
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in: 'path',
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description: 'Unique slug of workspace to find',
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required: true,
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type: 'string'
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}
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#swagger.responses[200] = {
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content: {
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"application/json": {
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schema: {
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type: 'object',
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example: {
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workspace: {
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"id": 79,
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"name": "My workspace",
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"slug": "my-workspace-123",
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"createdAt": "2023-08-17 00:45:03",
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"openAiTemp": null,
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"lastUpdatedAt": "2023-08-17 00:45:03",
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"openAiHistory": 20,
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"openAiPrompt": null,
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"documents": []
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}
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}
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}
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}
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}
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}
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#swagger.responses[403] = {
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schema: {
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"$ref": "#/definitions/InvalidAPIKey"
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}
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}
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*/
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try {
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const { slug } = request.params;
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const workspace = await Workspace.get({ slug });
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response.status(200).json({ workspace });
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} catch (e) {
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console.log(e.message, e);
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response.sendStatus(500).end();
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}
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});
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app.delete(
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"/v1/workspace/:slug",
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[validApiKey],
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async (request, response) => {
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/*
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#swagger.tags = ['Workspaces']
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#swagger.description = 'Deletes a workspace by its slug.'
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#swagger.path = '/v1/workspace/{slug}'
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#swagger.parameters['slug'] = {
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in: 'path',
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description: 'Unique slug of workspace to delete',
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required: true,
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type: 'string'
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}
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#swagger.responses[403] = {
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schema: {
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"$ref": "#/definitions/InvalidAPIKey"
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}
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}
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*/
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try {
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const { slug = "" } = request.params;
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const VectorDb = getVectorDbClass();
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const workspace = await Workspace.get({ slug });
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if (!workspace) {
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response.sendStatus(400).end();
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return;
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}
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const workspaceId = Number(workspace.id);
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await WorkspaceChats.delete({ workspaceId: workspaceId });
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await DocumentVectors.deleteForWorkspace(workspaceId);
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await Document.delete({ workspaceId: workspaceId });
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await Workspace.delete({ id: workspaceId });
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try {
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await VectorDb["delete-namespace"]({ namespace: slug });
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} catch (e) {
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console.error(e.message);
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}
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response.sendStatus(200).end();
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} catch (e) {
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console.log(e.message, e);
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response.sendStatus(500).end();
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}
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}
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);
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app.post(
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"/v1/workspace/:slug/update",
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[validApiKey],
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async (request, response) => {
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/*
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#swagger.tags = ['Workspaces']
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#swagger.description = 'Update workspace settings by its unique slug.'
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#swagger.path = '/v1/workspace/{slug}/update'
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#swagger.parameters['slug'] = {
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in: 'path',
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description: 'Unique slug of workspace to find',
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required: true,
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type: 'string'
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}
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#swagger.requestBody = {
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description: 'JSON object containing new settings to update a workspace. All keys are optional and will not update unless provided',
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required: true,
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type: 'object',
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content: {
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"application/json": {
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example: {
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"name": 'Updated Workspace Name',
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"openAiTemp": 0.2,
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"openAiHistory": 20,
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"openAiPrompt": "Respond to all inquires and questions in binary - do not respond in any other format."
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}
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}
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}
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}
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#swagger.responses[200] = {
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content: {
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"application/json": {
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schema: {
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type: 'object',
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example: {
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workspace: {
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"id": 79,
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"name": "My workspace",
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"slug": "my-workspace-123",
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"createdAt": "2023-08-17 00:45:03",
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"openAiTemp": null,
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"lastUpdatedAt": "2023-08-17 00:45:03",
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"openAiHistory": 20,
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"openAiPrompt": null,
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"documents": []
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},
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message: null,
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}
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}
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}
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}
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}
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#swagger.responses[403] = {
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schema: {
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"$ref": "#/definitions/InvalidAPIKey"
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}
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}
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*/
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try {
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const { slug = null } = request.params;
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const data = reqBody(request);
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const currWorkspace = await Workspace.get({ slug });
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if (!currWorkspace) {
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response.sendStatus(400).end();
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return;
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}
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const { workspace, message } = await Workspace.update(
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currWorkspace.id,
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data
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);
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response.status(200).json({ workspace, message });
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} catch (e) {
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console.log(e.message, e);
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response.sendStatus(500).end();
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}
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}
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);
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app.get(
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"/v1/workspace/:slug/chats",
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[validApiKey],
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async (request, response) => {
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/*
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#swagger.tags = ['Workspaces']
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#swagger.description = 'Get a workspaces chats regardless of user by its unique slug.'
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#swagger.path = '/v1/workspace/{slug}/chats'
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#swagger.parameters['slug'] = {
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in: 'path',
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description: 'Unique slug of workspace to find',
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required: true,
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type: 'string'
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}
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#swagger.responses[200] = {
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content: {
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"application/json": {
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schema: {
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type: 'object',
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example: {
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history: [
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{
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"role": "user",
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"content": "What is AnythingLLM?",
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"sentAt": 1692851630
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},
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{
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"role": "assistant",
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"content": "AnythingLLM is a platform that allows you to convert notes, PDFs, and other source materials into a chatbot. It ensures privacy, cites its answers, and allows multiple people to interact with the same documents simultaneously. It is particularly useful for businesses to enhance the visibility and readability of various written communications such as SOPs, contracts, and sales calls. You can try it out with a free trial to see if it meets your business needs.",
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"sources": [{"source": "object about source document and snippets used"}]
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}
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]
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}
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}
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}
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}
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}
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#swagger.responses[403] = {
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schema: {
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"$ref": "#/definitions/InvalidAPIKey"
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}
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}
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*/
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try {
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const { slug } = request.params;
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const workspace = await Workspace.get({ slug });
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if (!workspace) {
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response.sendStatus(400).end();
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return;
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}
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const history = await WorkspaceChats.forWorkspace(workspace.id);
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response.status(200).json({ history: convertToChatHistory(history) });
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} catch (e) {
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console.log(e.message, e);
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response.sendStatus(500).end();
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}
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}
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);
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app.post(
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"/v1/workspace/:slug/update-embeddings",
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[validApiKey],
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async (request, response) => {
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/*
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#swagger.tags = ['Workspaces']
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#swagger.description = 'Add or remove documents from a workspace by its unique slug.'
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#swagger.path = '/v1/workspace/{slug}/update-embeddings'
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#swagger.parameters['slug'] = {
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in: 'path',
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description: 'Unique slug of workspace to find',
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required: true,
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type: 'string'
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}
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#swagger.requestBody = {
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description: 'JSON object of additions and removals of documents to add to update a workspace. The value should be the folder + filename with the exclusions of the top-level documents path.',
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required: true,
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type: 'object',
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content: {
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"application/json": {
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example: {
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adds: ["custom-documents/my-pdf.pdf-hash.json"],
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deletes: ["custom-documents/anythingllm.txt-hash.json"]
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}
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}
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}
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}
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#swagger.responses[200] = {
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content: {
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"application/json": {
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schema: {
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type: 'object',
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example: {
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workspace: {
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"id": 79,
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"name": "My workspace",
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"slug": "my-workspace-123",
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"createdAt": "2023-08-17 00:45:03",
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"openAiTemp": null,
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"lastUpdatedAt": "2023-08-17 00:45:03",
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"openAiHistory": 20,
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"openAiPrompt": null,
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"documents": []
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},
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message: null,
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}
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}
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}
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}
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}
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#swagger.responses[403] = {
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schema: {
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"$ref": "#/definitions/InvalidAPIKey"
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}
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}
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*/
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try {
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const { slug = null } = request.params;
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const { adds = [], deletes = [] } = reqBody(request);
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const currWorkspace = await Workspace.get({ slug });
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if (!currWorkspace) {
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response.sendStatus(400).end();
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return;
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}
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await Document.removeDocuments(currWorkspace, deletes);
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await Document.addDocuments(currWorkspace, adds);
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const updatedWorkspace = await Workspace.get(
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`id = ${Number(currWorkspace.id)}`
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);
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response.status(200).json({ workspace: updatedWorkspace });
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} catch (e) {
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console.log(e.message, e);
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response.sendStatus(500).end();
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}
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}
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);
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app.post(
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"/v1/workspace/:slug/chat",
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[validApiKey],
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async (request, response) => {
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/*
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#swagger.tags = ['Workspaces']
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#swagger.description = 'Execute a chat with a workspace'
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#swagger.requestBody = {
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description: 'Send a prompt to the workspace and the type of conversation (query or chat).<br/><b>Query:</b> Will not use LLM unless there are relevant sources from vectorDB & does not recall chat history.<br/><b>Chat:</b> Uses LLM general knowledge w/custom embeddings to produce output, uses rolling chat history.',
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required: true,
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type: 'object',
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content: {
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"application/json": {
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example: {
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message: "What is AnythingLLM?",
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mode: "query | chat"
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}
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}
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}
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}
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#swagger.responses[200] = {
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content: {
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"application/json": {
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schema: {
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type: 'object',
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example: {
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id: 'chat-uuid',
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type: "abort | textResponse",
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textResponse: "Response to your query",
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sources: [{title: "anythingllm.txt", chunk: "This is a context chunk used in the answer of the prompt by the LLM,"}],
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close: true,
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error: "null | text string of the failure mode."
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}
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}
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}
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}
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}
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|
#swagger.responses[403] = {
|
|
schema: {
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|
"$ref": "#/definitions/InvalidAPIKey"
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|
}
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}
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|
*/
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try {
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const { slug } = request.params;
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const { message, mode = "query" } = reqBody(request);
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const workspace = await Workspace.get({ slug });
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if (!workspace) {
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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: `Workspace ${slug} is not a valid workspace.`,
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});
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return;
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}
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if (!message?.length || !VALID_CHAT_MODE.includes(mode)) {
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response.status(400).json({
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id: uuidv4(),
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type: "abort",
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textResponse: null,
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sources: [],
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close: true,
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error: !message?.length
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? "message parameter cannot be empty."
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: `${mode} is not a valid mode.`,
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});
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return;
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}
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const result = await chatWithWorkspace(workspace, message, mode);
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await Telemetry.sendTelemetry("sent_chat", {
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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 || "pinecone",
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});
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await EventLogs.logEvent("sent_chat", {
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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 || "pinecone",
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});
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response.status(200).json({ ...result });
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} catch (e) {
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response.status(500).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: e.message,
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});
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}
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}
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);
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|
|
app.post(
|
|
"/v1/workspace/:slug/stream-chat",
|
|
[validApiKey],
|
|
async (request, response) => {
|
|
/*
|
|
#swagger.tags = ['Workspaces']
|
|
#swagger.description = 'Execute a streamable chat with a workspace'
|
|
#swagger.requestBody = {
|
|
description: 'Send a prompt to the workspace and the type of conversation (query or chat).<br/><b>Query:</b> Will not use LLM unless there are relevant sources from vectorDB & does not recall chat history.<br/><b>Chat:</b> Uses LLM general knowledge w/custom embeddings to produce output, uses rolling chat history.',
|
|
required: true,
|
|
type: 'object',
|
|
content: {
|
|
"application/json": {
|
|
example: {
|
|
message: "What is AnythingLLM?",
|
|
mode: "query | chat"
|
|
}
|
|
}
|
|
}
|
|
}
|
|
#swagger.responses[200] = {
|
|
content: {
|
|
"text/event-stream": {
|
|
schema: {
|
|
type: 'array',
|
|
example: [
|
|
{
|
|
id: 'uuid-123',
|
|
type: "abort | textResponseChunk",
|
|
textResponse: "First chunk",
|
|
sources: [],
|
|
close: false,
|
|
error: "null | text string of the failure mode."
|
|
},
|
|
{
|
|
id: 'uuid-123',
|
|
type: "abort | textResponseChunk",
|
|
textResponse: "chunk two",
|
|
sources: [],
|
|
close: false,
|
|
error: "null | text string of the failure mode."
|
|
},
|
|
{
|
|
id: 'uuid-123',
|
|
type: "abort | textResponseChunk",
|
|
textResponse: "final chunk of LLM output!",
|
|
sources: [{title: "anythingllm.txt", chunk: "This is a context chunk used in the answer of the prompt by the LLM. This will only return in the final chunk."}],
|
|
close: true,
|
|
error: "null | text string of the failure mode."
|
|
}
|
|
]
|
|
}
|
|
}
|
|
}
|
|
}
|
|
#swagger.responses[403] = {
|
|
schema: {
|
|
"$ref": "#/definitions/InvalidAPIKey"
|
|
}
|
|
}
|
|
*/
|
|
try {
|
|
const { slug } = request.params;
|
|
const { message, mode = "query" } = reqBody(request);
|
|
const workspace = await Workspace.get({ slug });
|
|
|
|
if (!workspace) {
|
|
response.status(400).json({
|
|
id: uuidv4(),
|
|
type: "abort",
|
|
textResponse: null,
|
|
sources: [],
|
|
close: true,
|
|
error: `Workspace ${slug} is not a valid workspace.`,
|
|
});
|
|
return;
|
|
}
|
|
|
|
if (!message?.length || !VALID_CHAT_MODE.includes(mode)) {
|
|
response.status(400).json({
|
|
id: uuidv4(),
|
|
type: "abort",
|
|
textResponse: null,
|
|
sources: [],
|
|
close: true,
|
|
error: !message?.length
|
|
? "Message is empty"
|
|
: `${mode} is not a valid mode.`,
|
|
});
|
|
return;
|
|
}
|
|
|
|
response.setHeader("Cache-Control", "no-cache");
|
|
response.setHeader("Content-Type", "text/event-stream");
|
|
response.setHeader("Access-Control-Allow-Origin", "*");
|
|
response.setHeader("Connection", "keep-alive");
|
|
response.flushHeaders();
|
|
|
|
await streamChatWithWorkspace(response, workspace, message, mode);
|
|
await Telemetry.sendTelemetry("sent_chat", {
|
|
LLMSelection: process.env.LLM_PROVIDER || "openai",
|
|
Embedder: process.env.EMBEDDING_ENGINE || "inherit",
|
|
VectorDbSelection: process.env.VECTOR_DB || "pinecone",
|
|
});
|
|
await EventLogs.logEvent("sent_chat", {
|
|
LLMSelection: process.env.LLM_PROVIDER || "openai",
|
|
Embedder: process.env.EMBEDDING_ENGINE || "inherit",
|
|
VectorDbSelection: process.env.VECTOR_DB || "pinecone",
|
|
});
|
|
response.end();
|
|
} catch (e) {
|
|
console.error(e);
|
|
writeResponseChunk(response, {
|
|
id: uuidv4(),
|
|
type: "abort",
|
|
textResponse: null,
|
|
sources: [],
|
|
close: true,
|
|
error: e.message,
|
|
});
|
|
response.end();
|
|
}
|
|
}
|
|
);
|
|
}
|
|
|
|
module.exports = { apiWorkspaceEndpoints };
|