mirror of
https://github.com/danny-avila/LibreChat.git
synced 2025-09-22 06:00:56 +02:00

* 🧠 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
175 lines
5.1 KiB
JavaScript
175 lines
5.1 KiB
JavaScript
const {
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CacheKeys,
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ErrorTypes,
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envVarRegex,
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FetchTokenConfig,
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extractEnvVariable,
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} = require('librechat-data-provider');
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const { Providers } = require('@librechat/agents');
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const { getOpenAIConfig, createHandleLLMNewToken } = require('@librechat/api');
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const { getUserKeyValues, checkUserKeyExpiry } = require('~/server/services/UserService');
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const { getCustomEndpointConfig } = require('~/server/services/Config');
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const { fetchModels } = require('~/server/services/ModelService');
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const OpenAIClient = require('~/app/clients/OpenAIClient');
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const { isUserProvided } = require('~/server/utils');
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const getLogStores = require('~/cache/getLogStores');
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const { PROXY } = process.env;
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const initializeClient = async ({ req, res, endpointOption, optionsOnly, overrideEndpoint }) => {
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const { key: expiresAt } = req.body;
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const endpoint = overrideEndpoint ?? req.body.endpoint;
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const endpointConfig = await getCustomEndpointConfig(endpoint);
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if (!endpointConfig) {
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throw new Error(`Config not found for the ${endpoint} custom endpoint.`);
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}
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const CUSTOM_API_KEY = extractEnvVariable(endpointConfig.apiKey);
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const CUSTOM_BASE_URL = extractEnvVariable(endpointConfig.baseURL);
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let resolvedHeaders = {};
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if (endpointConfig.headers && typeof endpointConfig.headers === 'object') {
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Object.keys(endpointConfig.headers).forEach((key) => {
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resolvedHeaders[key] = extractEnvVariable(endpointConfig.headers[key]);
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});
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}
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if (CUSTOM_API_KEY.match(envVarRegex)) {
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throw new Error(`Missing API Key for ${endpoint}.`);
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}
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if (CUSTOM_BASE_URL.match(envVarRegex)) {
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throw new Error(`Missing Base URL for ${endpoint}.`);
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}
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const userProvidesKey = isUserProvided(CUSTOM_API_KEY);
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const userProvidesURL = isUserProvided(CUSTOM_BASE_URL);
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let userValues = null;
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if (expiresAt && (userProvidesKey || userProvidesURL)) {
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checkUserKeyExpiry(expiresAt, endpoint);
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userValues = await getUserKeyValues({ userId: req.user.id, name: endpoint });
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}
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let apiKey = userProvidesKey ? userValues?.apiKey : CUSTOM_API_KEY;
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let baseURL = userProvidesURL ? userValues?.baseURL : CUSTOM_BASE_URL;
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if (userProvidesKey & !apiKey) {
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throw new Error(
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JSON.stringify({
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type: ErrorTypes.NO_USER_KEY,
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}),
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);
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}
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if (userProvidesURL && !baseURL) {
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throw new Error(
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JSON.stringify({
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type: ErrorTypes.NO_BASE_URL,
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}),
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);
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}
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if (!apiKey) {
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throw new Error(`${endpoint} API key not provided.`);
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}
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if (!baseURL) {
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throw new Error(`${endpoint} Base URL not provided.`);
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}
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const cache = getLogStores(CacheKeys.TOKEN_CONFIG);
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const tokenKey =
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!endpointConfig.tokenConfig && (userProvidesKey || userProvidesURL)
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? `${endpoint}:${req.user.id}`
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: endpoint;
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let endpointTokenConfig =
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!endpointConfig.tokenConfig &&
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FetchTokenConfig[endpoint.toLowerCase()] &&
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(await cache.get(tokenKey));
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if (
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FetchTokenConfig[endpoint.toLowerCase()] &&
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endpointConfig &&
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endpointConfig.models.fetch &&
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!endpointTokenConfig
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) {
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await fetchModels({ apiKey, baseURL, name: endpoint, user: req.user.id, tokenKey });
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endpointTokenConfig = await cache.get(tokenKey);
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}
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const customOptions = {
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headers: resolvedHeaders,
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addParams: endpointConfig.addParams,
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dropParams: endpointConfig.dropParams,
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customParams: endpointConfig.customParams,
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titleConvo: endpointConfig.titleConvo,
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titleModel: endpointConfig.titleModel,
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forcePrompt: endpointConfig.forcePrompt,
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summaryModel: endpointConfig.summaryModel,
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modelDisplayLabel: endpointConfig.modelDisplayLabel,
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titleMethod: endpointConfig.titleMethod ?? 'completion',
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contextStrategy: endpointConfig.summarize ? 'summarize' : null,
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directEndpoint: endpointConfig.directEndpoint,
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titleMessageRole: endpointConfig.titleMessageRole,
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streamRate: endpointConfig.streamRate,
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endpointTokenConfig,
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};
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/** @type {undefined | TBaseEndpoint} */
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const allConfig = req.app.locals.all;
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if (allConfig) {
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customOptions.streamRate = allConfig.streamRate;
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}
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let clientOptions = {
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reverseProxyUrl: baseURL ?? null,
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proxy: PROXY ?? null,
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req,
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res,
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...customOptions,
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...endpointOption,
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};
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if (optionsOnly) {
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const modelOptions = endpointOption.model_parameters;
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if (endpoint !== Providers.OLLAMA) {
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clientOptions = Object.assign(
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{
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modelOptions,
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},
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clientOptions,
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);
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clientOptions.modelOptions.user = req.user.id;
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const options = getOpenAIConfig(apiKey, clientOptions, endpoint);
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if (!customOptions.streamRate) {
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return options;
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}
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options.llmConfig.callbacks = [
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{
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handleLLMNewToken: createHandleLLMNewToken(clientOptions.streamRate),
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},
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];
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return options;
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}
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if (clientOptions.reverseProxyUrl) {
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modelOptions.baseUrl = clientOptions.reverseProxyUrl.split('/v1')[0];
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delete clientOptions.reverseProxyUrl;
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}
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return {
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llmConfig: modelOptions,
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};
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}
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const client = new OpenAIClient(apiKey, clientOptions);
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return {
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client,
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openAIApiKey: apiKey,
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};
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};
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module.exports = initializeClient;
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