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https://github.com/danny-avila/LibreChat.git
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04a4a2aa44
* refactor: move endpoint initialization methods to typescript * refactor: move agent init to packages/api - Introduced `initialize.ts` for agent initialization, including file processing and tool loading. - Updated `resources.ts` to allow optional appConfig parameter. - Enhanced endpoint configuration handling in various initialization files to support model parameters. - Added new artifacts and prompts for React component generation. - Refactored existing code to improve type safety and maintainability. * refactor: streamline endpoint initialization and enhance type safety - Updated initialization functions across various endpoints to use a consistent request structure, replacing `unknown` types with `ServerResponse`. - Simplified request handling by directly extracting keys from the request body. - Improved type safety by ensuring user IDs are safely accessed with optional chaining. - Removed unnecessary parameters and streamlined model options handling for better clarity and maintainability. * refactor: moved ModelService and extractBaseURL to packages/api - Added comprehensive tests for the models fetching functionality, covering scenarios for OpenAI, Anthropic, Google, and Ollama models. - Updated existing endpoint index to include the new models module. - Enhanced utility functions for URL extraction and model data processing. - Improved type safety and error handling across the models fetching logic. * refactor: consolidate utility functions and remove unused files - Merged `deriveBaseURL` and `extractBaseURL` into the `@librechat/api` module for better organization. - Removed redundant utility files and their associated tests to streamline the codebase. - Updated imports across various client files to utilize the new consolidated functions. - Enhanced overall maintainability by reducing the number of utility modules. * refactor: replace ModelService references with direct imports from @librechat/api and remove ModelService file * refactor: move encrypt/decrypt methods and key db methods to data-schemas, use `getProviderConfig` from `@librechat/api` * chore: remove unused 'res' from options in AgentClient * refactor: file model imports and methods - Updated imports in various controllers and services to use the unified file model from '~/models' instead of '~/models/File'. - Consolidated file-related methods into a new file methods module in the data-schemas package. - Added comprehensive tests for file methods including creation, retrieval, updating, and deletion. - Enhanced the initializeAgent function to accept dependency injection for file-related methods. - Improved error handling and logging in file methods. * refactor: streamline database method references in agent initialization * refactor: enhance file method tests and update type references to IMongoFile * refactor: consolidate database method imports in agent client and initialization * chore: remove redundant import of initializeAgent from @librechat/api * refactor: move checkUserKeyExpiry utility to @librechat/api and update references across endpoints * refactor: move updateUserPlugins logic to user.ts and simplify UserController * refactor: update imports for user key management and remove UserService * refactor: remove unused Anthropics and Bedrock endpoint files and clean up imports * refactor: consolidate and update encryption imports across various files to use @librechat/data-schemas * chore: update file model mock to use unified import from '~/models' * chore: import order * refactor: remove migrated to TS agent.js file and its associated logic from the endpoints * chore: add reusable function to extract imports from source code in unused-packages workflow * chore: enhance unused-packages workflow to include @librechat/api dependencies and improve dependency extraction * chore: improve dependency extraction in unused-packages workflow with enhanced error handling and debugging output * chore: add detailed debugging output to unused-packages workflow for better visibility into unused dependencies and exclusion lists * chore: refine subpath handling in unused-packages workflow to correctly process scoped and non-scoped package imports * chore: clean up unused debug output in unused-packages workflow and reorganize type imports in initialize.ts
65 lines
2.2 KiB
JavaScript
65 lines
2.2 KiB
JavaScript
const { logger } = require('@librechat/data-schemas');
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const { EModelEndpoint } = require('librechat-data-provider');
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const {
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getAnthropicModels,
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getBedrockModels,
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getOpenAIModels,
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getGoogleModels,
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} = require('@librechat/api');
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/**
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* Loads the default models for the application.
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* @async
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* @function
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* @param {ServerRequest} req - The Express request object.
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*/
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async function loadDefaultModels(req) {
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try {
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const [openAI, anthropic, azureOpenAI, assistants, azureAssistants, google, bedrock] =
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await Promise.all([
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getOpenAIModels({ user: req.user.id }).catch((error) => {
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logger.error('Error fetching OpenAI models:', error);
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return [];
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}),
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getAnthropicModels({ user: req.user.id }).catch((error) => {
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logger.error('Error fetching Anthropic models:', error);
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return [];
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}),
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getOpenAIModels({ user: req.user.id, azure: true }).catch((error) => {
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logger.error('Error fetching Azure OpenAI models:', error);
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return [];
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}),
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getOpenAIModels({ assistants: true }).catch((error) => {
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logger.error('Error fetching OpenAI Assistants API models:', error);
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return [];
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}),
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getOpenAIModels({ azureAssistants: true }).catch((error) => {
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logger.error('Error fetching Azure OpenAI Assistants API models:', error);
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return [];
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}),
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Promise.resolve(getGoogleModels()).catch((error) => {
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logger.error('Error getting Google models:', error);
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return [];
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}),
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Promise.resolve(getBedrockModels()).catch((error) => {
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logger.error('Error getting Bedrock models:', error);
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return [];
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}),
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]);
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return {
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[EModelEndpoint.openAI]: openAI,
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[EModelEndpoint.google]: google,
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[EModelEndpoint.anthropic]: anthropic,
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[EModelEndpoint.azureOpenAI]: azureOpenAI,
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[EModelEndpoint.assistants]: assistants,
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[EModelEndpoint.azureAssistants]: azureAssistants,
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[EModelEndpoint.bedrock]: bedrock,
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};
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} catch (error) {
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logger.error('Error fetching default models:', error);
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throw new Error(`Failed to load default models: ${error.message}`);
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}
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}
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module.exports = loadDefaultModels;
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