mirror of
https://github.com/danny-avila/LibreChat.git
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- Move AgentCategory from api/models to @packages/data-schemas structure - Add schema, types, methods, and model following codebase conventions - Implement auto-seeding of default categories during AppService startup - Update marketplace controller to use new data-schemas methods - Remove old model file and standalone seed script refactor: unify agent marketplace to single endpoint with cursor pagination - Replace multiple marketplace routes with unified /marketplace endpoint - Add query string controls: category, search, limit, cursor, promoted, requiredPermission - Implement cursor-based pagination replacing page-based system - Integrate ACL permissions for proper access control - Fix ObjectId constructor error in Agent model - Update React components to use unified useGetMarketplaceAgentsQuery hook - Enhance type safety and remove deprecated useDynamicAgentQuery - Update tests for new marketplace architecture -Known issues: see more button after category switching + Unit tests feat: add icon property to ProcessedAgentCategory interface - Add useMarketplaceAgentsInfiniteQuery and useGetAgentCategoriesQuery to client/src/data-provider/Agents/ - Replace manual pagination in AgentGrid with infinite query pattern - Update imports to use local data provider instead of librechat-data-provider - Add proper permission handling with PERMISSION_BITS.VIEW/EDIT constants - Improve agent access control by adding requiredPermission validation in backend - Remove manual cursor/state management in favor of infinite query built-ins - Maintain existing search and category filtering functionality refactor: consolidate agent marketplace endpoints into main agents API and improve data management consistency - Remove dedicated marketplace controller and routes, merging functionality into main agents v1 API - Add countPromotedAgents function to Agent model for promoted agents count - Enhance getListAgents handler with marketplace filtering (category, search, promoted status) - Move getAgentCategories from marketplace to v1 controller with same functionality - Update agent mutations to invalidate marketplace queries and handle multiple permission levels - Improve cache management by updating all agent query variants (VIEW/EDIT permissions) - Consolidate agent data access patterns for better maintainability and consistency - Remove duplicate marketplace route definitions and middleware selected view only agents injected in the drop down fix: remove minlength validation for support contact name in agent schema feat: add validation and error messages for agent name in AgentConfig and AgentPanel fix: update agent permission check logic in AgentPanel to simplify condition Fix linting WIP Fix Unit tests WIP ESLint fixes eslint fix refactor: enhance isDuplicateVersion function in Agent model for improved comparison logic - Introduced handling for undefined/null values in array and object comparisons. - Normalized array comparisons to treat undefined/null as empty arrays. - Added deep comparison for objects and improved handling of primitive values. - Enhanced projectIds comparison to ensure consistent MongoDB ObjectId handling. refactor: remove redundant properties from IAgent interface in agent schema chore: update localization for agent detail component and clean up imports ci: update access middleware tests chore: remove unused PermissionTypes import from Role model ci: update AclEntry model tests ci: update button accessibility labels in AgentDetail tests refactor: update exhaustive dep. lint warning
171 lines
5.2 KiB
JavaScript
171 lines
5.2 KiB
JavaScript
const { agentsConfigSetup, loadWebSearchConfig } = require('@librechat/api');
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const {
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FileSources,
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loadOCRConfig,
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EModelEndpoint,
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loadMemoryConfig,
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getConfigDefaults,
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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 { seedDefaultRoles, initializeRoles, ensureDefaultCategories } = require('~/models');
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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 { isEnabled } = require('~/server/utils');
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const { setCachedTools } = 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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await seedDefaultRoles();
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await ensureDefaultCategories();
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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 memory = loadMemoryConfig(config.memory);
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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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await setCachedTools(availableTools, { isGlobal: true });
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// Store MCP config for later initialization
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const mcpConfig = config.mcpServers || null;
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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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memory,
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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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imageOutputType,
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interfaceConfig,
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turnstileConfig,
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balance,
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mcpConfig,
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};
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const agentsDefaults = agentsConfigSetup(config);
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if (!Object.keys(config).length) {
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app.locals = {
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...defaultLocals,
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[EModelEndpoint.agents]: agentsDefaults,
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};
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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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endpointLocals[EModelEndpoint.agents] = agentsConfigSetup(config, agentsDefaults);
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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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