mirror of
https://github.com/danny-avila/LibreChat.git
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* 🧠 feat: User Memories for Conversational Context
chore: mcp typing, use `t`
WIP: first pass, Memories UI
- Added MemoryViewer component for displaying, editing, and deleting user memories.
- Integrated data provider hooks for fetching, updating, and deleting memories.
- Implemented pagination and loading states for better user experience.
- Created unit tests for MemoryViewer to ensure functionality and interaction with data provider.
- Updated translation files to include new UI strings related to memories.
chore: move mcp-related files to own directory
chore: rename librechat-mcp to librechat-api
WIP: first pass, memory processing and data schemas
chore: linting in fileSearch.js query description
chore: rename librechat-api to @librechat/api across the project
WIP: first pass, functional memory agent
feat: add MemoryEditDialog and MemoryViewer components for managing user memories
- Introduced MemoryEditDialog for editing memory entries with validation and toast notifications.
- Updated MemoryViewer to support editing and deleting memories, including pagination and loading states.
- Enhanced data provider to handle memory updates with optional original key for better management.
- Added new localization strings for memory-related UI elements.
feat: add memory permissions management
- Implemented memory permissions in the backend, allowing roles to have specific permissions for using, creating, updating, and reading memories.
- Added new API endpoints for updating memory permissions associated with roles.
- Created a new AdminSettings component for managing memory permissions in the frontend.
- Integrated memory permissions into the existing roles and permissions schemas.
- Updated the interface to include memory settings and permissions.
- Enhanced the MemoryViewer component to conditionally render admin settings based on user roles.
- Added localization support for memory permissions in the translation files.
feat: move AdminSettings component to a new position in MemoryViewer for better visibility
refactor: clean up commented code in MemoryViewer component
feat: enhance MemoryViewer with search functionality and improve MemoryEditDialog integration
- Added a search input to filter memories in the MemoryViewer component.
- Refactored MemoryEditDialog to accept children for better customization.
- Updated MemoryViewer to utilize the new EditMemoryButton and DeleteMemoryButton components for editing and deleting memories.
- Improved localization support by adding new strings for memory filtering and deletion confirmation.
refactor: optimize memory filtering in MemoryViewer using match-sorter
- Replaced manual filtering logic with match-sorter for improved search functionality.
- Enhanced performance and readability of the filteredMemories computation.
feat: enhance MemoryEditDialog with triggerRef and improve updateMemory mutation handling
feat: implement access control for MemoryEditDialog and MemoryViewer components
refactor: remove commented out code and create runMemory method
refactor: rename role based files
feat: implement access control for memory usage in AgentClient
refactor: simplify checkVisionRequest method in AgentClient by removing commented-out code
refactor: make `agents` dir in api package
refactor: migrate Azure utilities to TypeScript and consolidate imports
refactor: move sanitizeFilename function to a new file and update imports, add related tests
refactor: update LLM configuration types and consolidate Azure options in the API package
chore: linting
chore: import order
refactor: replace getLLMConfig with getOpenAIConfig and remove unused LLM configuration file
chore: update winston-daily-rotate-file to version 5.0.0 and add object-hash dependency in package-lock.json
refactor: move primeResources and optionalChainWithEmptyCheck functions to resources.ts and update imports
refactor: move createRun function to a new run.ts file and update related imports
fix: ensure safeAttachments is correctly typed as an array of TFile
chore: add node-fetch dependency and refactor fetch-related functions into packages/api/utils, removing the old generators file
refactor: enhance TEndpointOption type by using Pick to streamline endpoint fields and add new properties for model parameters and client options
feat: implement initializeOpenAIOptions function and update OpenAI types for enhanced configuration handling
fix: update types due to new TEndpointOption typing
fix: ensure safe access to group parameters in initializeOpenAIOptions function
fix: remove redundant API key validation comment in initializeOpenAIOptions function
refactor: rename initializeOpenAIOptions to initializeOpenAI for consistency and update related documentation
refactor: decouple req.body fields and tool loading from initializeAgentOptions
chore: linting
refactor: adjust column widths in MemoryViewer for improved layout
refactor: simplify agent initialization by creating loadAgent function and removing unused code
feat: add memory configuration loading and validation functions
WIP: first pass, memory processing with config
feat: implement memory callback and artifact handling
feat: implement memory artifacts display and processing updates
feat: add memory configuration options and schema validation for validKeys
fix: update MemoryEditDialog and MemoryViewer to handle memory state and display improvements
refactor: remove padding from BookmarkTable and MemoryViewer headers for consistent styling
WIP: initial tokenLimit config and move Tokenizer to @librechat/api
refactor: update mongoMeili plugin methods to use callback for better error handling
feat: enhance memory management with token tracking and usage metrics
- Added token counting for memory entries to enforce limits and provide usage statistics.
- Updated memory retrieval and update routes to include total token usage and limit.
- Enhanced MemoryEditDialog and MemoryViewer components to display memory usage and token information.
- Refactored memory processing functions to handle token limits and provide feedback on memory capacity.
feat: implement memory artifact handling in attachment handler
- Enhanced useAttachmentHandler to process memory artifacts when receiving updates.
- Introduced handleMemoryArtifact utility to manage memory updates and deletions.
- Updated query client to reflect changes in memory state based on incoming data.
refactor: restructure web search key extraction logic
- Moved the logic for extracting API keys from the webSearchAuth configuration into a dedicated function, getWebSearchKeys.
- Updated webSearchKeys to utilize the new function for improved clarity and maintainability.
- Prevents build time errors
feat: add personalization settings and memory preferences management
- Introduced a new Personalization tab in settings to manage user memory preferences.
- Implemented API endpoints and client-side logic for updating memory preferences.
- Enhanced user interface components to reflect personalization options and memory usage.
- Updated permissions to allow users to opt out of memory features.
- Added localization support for new settings and messages related to personalization.
style: personalization switch class
feat: add PersonalizationIcon and align Side Panel UI
feat: implement memory creation functionality
- Added a new API endpoint for creating memory entries, including validation for key and value.
- Introduced MemoryCreateDialog component for user interface to facilitate memory creation.
- Integrated token limit checks to prevent exceeding user memory capacity.
- Updated MemoryViewer to include a button for opening the memory creation dialog.
- Enhanced localization support for new messages related to memory creation.
feat: enhance message processing with configurable window size
- Updated AgentClient to use a configurable message window size for processing messages.
- Introduced messageWindowSize option in memory configuration schema with a default value of 5.
- Improved logic for selecting messages to process based on the configured window size.
chore: update librechat-data-provider version to 0.7.87 in package.json and package-lock.json
chore: remove OpenAPIPlugin and its associated tests
chore: remove MIGRATION_README.md as migration tasks are completed
ci: fix backend tests
chore: remove unused translation keys from localization file
chore: remove problematic test file and unused var in AgentClient
chore: remove unused import and import directly for JSDoc
* feat: add api package build stage in Dockerfile for improved modularity
* docs: reorder build steps in contributing guide for clarity
169 lines
5.1 KiB
JavaScript
169 lines
5.1 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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loadMemoryConfig,
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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 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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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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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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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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