mirror of
https://github.com/danny-avila/LibreChat.git
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* refactor: move model definitions and database-related methods to packages/data-schemas * ci: update tests due to new DB structure fix: disable mocking `librechat-data-provider` feat: Add schema exports to data-schemas package - Introduced a new schema module that exports various schemas including action, agent, and user schemas. - Updated index.ts to include the new schema exports for better modularity and organization. ci: fix appleStrategy tests fix: Agent.spec.js ci: refactor handleTools tests to use MongoMemoryServer for in-memory database fix: getLogStores imports ci: update banViolation tests to use MongoMemoryServer and improve session mocking test: refactor samlStrategy tests to improve mock configurations and user handling ci: fix crypto mock in handleText tests for improved accuracy ci: refactor spendTokens tests to improve model imports and setup ci: refactor Message model tests to use MongoMemoryServer and improve database interactions * refactor: streamline IMessage interface and move feedback properties to types/message.ts * refactor: use exported initializeRoles from `data-schemas`, remove api workspace version (this serves as an example of future migrations that still need to happen) * refactor: update model imports to use destructuring from `~/db/models` for consistency and clarity * refactor: remove unused mongoose imports from model files for cleaner code * refactor: remove unused mongoose imports from Share, Prompt, and Transaction model files for cleaner code * refactor: remove unused import in Transaction model for cleaner code * ci: update deploy workflow to reference new Docker Dev Branch Images Build and add new workflow for building Docker images on dev branch * chore: cleanup imports
166 lines
5 KiB
JavaScript
166 lines
5 KiB
JavaScript
const {
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FileSources,
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loadOCRConfig,
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processMCPEnv,
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EModelEndpoint,
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getConfigDefaults,
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loadWebSearchConfig,
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} = require('librechat-data-provider');
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const {
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checkHealth,
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checkConfig,
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checkVariables,
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checkAzureVariables,
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checkWebSearchConfig,
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} = require('./start/checks');
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const { azureAssistantsDefaults, assistantsConfigSetup } = require('./start/assistants');
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const { initializeAzureBlobService } = require('./Files/Azure/initialize');
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const { initializeFirebase } = require('./Files/Firebase/initialize');
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const loadCustomConfig = require('./Config/loadCustomConfig');
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const handleRateLimits = require('./Config/handleRateLimits');
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const { loadDefaultInterface } = require('./start/interface');
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const { loadTurnstileConfig } = require('./start/turnstile');
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const { azureConfigSetup } = require('./start/azureOpenAI');
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const { processModelSpecs } = require('./start/modelSpecs');
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const { initializeS3 } = require('./Files/S3/initialize');
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const { loadAndFormatTools } = require('./ToolService');
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const { agentsConfigSetup } = require('./start/agents');
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const { isEnabled } = require('~/server/utils');
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const { initializeRoles } = require('~/models');
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const { getMCPManager } = require('~/config');
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const paths = require('~/config/paths');
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/**
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* Loads custom config and initializes app-wide variables.
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* @function AppService
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* @param {Express.Application} app - The Express application object.
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*/
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const AppService = async (app) => {
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await initializeRoles();
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/** @type {TCustomConfig} */
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const config = (await loadCustomConfig()) ?? {};
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const configDefaults = getConfigDefaults();
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const ocr = loadOCRConfig(config.ocr);
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const webSearch = loadWebSearchConfig(config.webSearch);
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checkWebSearchConfig(webSearch);
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const filteredTools = config.filteredTools;
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const includedTools = config.includedTools;
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const fileStrategy = config.fileStrategy ?? configDefaults.fileStrategy;
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const startBalance = process.env.START_BALANCE;
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const balance = config.balance ?? {
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enabled: isEnabled(process.env.CHECK_BALANCE),
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startBalance: startBalance ? parseInt(startBalance, 10) : undefined,
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};
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const imageOutputType = config?.imageOutputType ?? configDefaults.imageOutputType;
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process.env.CDN_PROVIDER = fileStrategy;
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checkVariables();
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await checkHealth();
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if (fileStrategy === FileSources.firebase) {
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initializeFirebase();
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} else if (fileStrategy === FileSources.azure_blob) {
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initializeAzureBlobService();
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} else if (fileStrategy === FileSources.s3) {
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initializeS3();
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}
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/** @type {Record<string, FunctionTool>} */
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const availableTools = loadAndFormatTools({
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adminFilter: filteredTools,
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adminIncluded: includedTools,
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directory: paths.structuredTools,
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});
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if (config.mcpServers != null) {
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const mcpManager = getMCPManager();
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await mcpManager.initializeMCP(config.mcpServers, processMCPEnv);
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await mcpManager.mapAvailableTools(availableTools);
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}
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const socialLogins =
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config?.registration?.socialLogins ?? configDefaults?.registration?.socialLogins;
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const interfaceConfig = await loadDefaultInterface(config, configDefaults);
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const turnstileConfig = loadTurnstileConfig(config, configDefaults);
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const defaultLocals = {
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ocr,
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paths,
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webSearch,
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fileStrategy,
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socialLogins,
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filteredTools,
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includedTools,
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availableTools,
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imageOutputType,
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interfaceConfig,
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turnstileConfig,
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balance,
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};
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if (!Object.keys(config).length) {
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app.locals = defaultLocals;
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return;
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}
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checkConfig(config);
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handleRateLimits(config?.rateLimits);
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const endpointLocals = {};
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const endpoints = config?.endpoints;
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if (endpoints?.[EModelEndpoint.azureOpenAI]) {
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endpointLocals[EModelEndpoint.azureOpenAI] = azureConfigSetup(config);
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checkAzureVariables();
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}
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if (endpoints?.[EModelEndpoint.azureOpenAI]?.assistants) {
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endpointLocals[EModelEndpoint.azureAssistants] = azureAssistantsDefaults();
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}
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if (endpoints?.[EModelEndpoint.azureAssistants]) {
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endpointLocals[EModelEndpoint.azureAssistants] = assistantsConfigSetup(
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config,
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EModelEndpoint.azureAssistants,
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endpointLocals[EModelEndpoint.azureAssistants],
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);
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}
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if (endpoints?.[EModelEndpoint.assistants]) {
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endpointLocals[EModelEndpoint.assistants] = assistantsConfigSetup(
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config,
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EModelEndpoint.assistants,
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endpointLocals[EModelEndpoint.assistants],
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);
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}
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if (endpoints?.[EModelEndpoint.agents]) {
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endpointLocals[EModelEndpoint.agents] = agentsConfigSetup(config);
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}
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const endpointKeys = [
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EModelEndpoint.openAI,
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EModelEndpoint.google,
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EModelEndpoint.bedrock,
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EModelEndpoint.anthropic,
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EModelEndpoint.gptPlugins,
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];
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endpointKeys.forEach((key) => {
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if (endpoints?.[key]) {
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endpointLocals[key] = endpoints[key];
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}
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});
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app.locals = {
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...defaultLocals,
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fileConfig: config?.fileConfig,
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secureImageLinks: config?.secureImageLinks,
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modelSpecs: processModelSpecs(endpoints, config.modelSpecs, interfaceConfig),
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...endpointLocals,
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};
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};
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module.exports = AppService;
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