LibreChat/api/server/services/Endpoints/openAI/initialize.js
Danny Avila 9a210971f5
🛜 refactor: Streamline App Config Usage (#9234)
* WIP: app.locals refactoring

WIP: appConfig

fix: update memory configuration retrieval to use getAppConfig based on user role

fix: update comment for AppConfig interface to clarify purpose

🏷️ refactor: Update tests to use getAppConfig for endpoint configurations

ci: Update AppService tests to initialize app config instead of app.locals

ci: Integrate getAppConfig into remaining tests

refactor: Update multer storage destination to use promise-based getAppConfig and improve error handling in tests

refactor: Rename initializeAppConfig to setAppConfig and update related tests

ci: Mock getAppConfig in various tests to provide default configurations

refactor: Update convertMCPToolsToPlugins to use mcpManager for server configuration and adjust related tests

chore: rename `Config/getAppConfig` -> `Config/app`

fix: streamline OpenAI image tools configuration by removing direct appConfig dependency and using function parameters

chore: correct parameter documentation for imageOutputType in ToolService.js

refactor: remove `getCustomConfig` dependency in config route

refactor: update domain validation to use appConfig for allowed domains

refactor: use appConfig registration property

chore: remove app parameter from AppService invocation

refactor: update AppConfig interface to correct registration and turnstile configurations

refactor: remove getCustomConfig dependency and use getAppConfig in PluginController, multer, and MCP services

refactor: replace getCustomConfig with getAppConfig in STTService, TTSService, and related files

refactor: replace getCustomConfig with getAppConfig in Conversation and Message models, update tempChatRetention functions to use AppConfig type

refactor: update getAppConfig calls in Conversation and Message models to include user role for temporary chat expiration

ci: update related tests

refactor: update getAppConfig call in getCustomConfigSpeech to include user role

fix: update appConfig usage to access allowedDomains from actions instead of registration

refactor: enhance AppConfig to include fileStrategies and update related file strategy logic

refactor: update imports to use normalizeEndpointName from @librechat/api and remove redundant definitions

chore: remove deprecated unused RunManager

refactor: get balance config primarily from appConfig

refactor: remove customConfig dependency for appConfig and streamline loadConfigModels logic

refactor: remove getCustomConfig usage and use app config in file citations

refactor: consolidate endpoint loading logic into loadEndpoints function

refactor: update appConfig access to use endpoints structure across various services

refactor: implement custom endpoints configuration and streamline endpoint loading logic

refactor: update getAppConfig call to include user role parameter

refactor: streamline endpoint configuration and enhance appConfig usage across services

refactor: replace getMCPAuthMap with getUserMCPAuthMap and remove unused getCustomConfig file

refactor: add type annotation for loadedEndpoints in loadEndpoints function

refactor: move /services/Files/images/parse to TS API

chore: add missing FILE_CITATIONS permission to IRole interface

refactor: restructure toolkits to TS API

refactor: separate manifest logic into its own module

refactor: consolidate tool loading logic into a new tools module for startup logic

refactor: move interface config logic to TS API

refactor: migrate checkEmailConfig to TypeScript and update imports

refactor: add FunctionTool interface and availableTools to AppConfig

refactor: decouple caching and DB operations from AppService, make part of consolidated `getAppConfig`

WIP: fix tests

* fix: rebase conflicts

* refactor: remove app.locals references

* refactor: replace getBalanceConfig with getAppConfig in various strategies and middleware

* refactor: replace appConfig?.balance with getBalanceConfig in various controllers and clients

* test: add balance configuration to titleConvo method in AgentClient tests

* chore: remove unused `openai-chat-tokens` package

* chore: remove unused imports in initializeMCPs.js

* refactor: update balance configuration to use getAppConfig instead of getBalanceConfig

* refactor: integrate configMiddleware for centralized configuration handling

* refactor: optimize email domain validation by removing unnecessary async calls

* refactor: simplify multer storage configuration by removing async calls

* refactor: reorder imports for better readability in user.js

* refactor: replace getAppConfig calls with req.config for improved performance

* chore: replace getAppConfig calls with req.config in tests for centralized configuration handling

* chore: remove unused override config

* refactor: add configMiddleware to endpoint route and replace getAppConfig with req.config

* chore: remove customConfig parameter from TTSService constructor

* refactor: pass appConfig from request to processFileCitations for improved configuration handling

* refactor: remove configMiddleware from endpoint route and retrieve appConfig directly in getEndpointsConfig if not in `req.config`

* test: add mockAppConfig to processFileCitations tests for improved configuration handling

* fix: pass req.config to hasCustomUserVars and call without await after synchronous refactor

* fix: type safety in useExportConversation

* refactor: retrieve appConfig using getAppConfig in PluginController and remove configMiddleware from plugins route, to avoid always retrieving when plugins are cached

* chore: change `MongoUser` typedef to `IUser`

* fix: Add `user` and `config` fields to ServerRequest and update JSDoc type annotations from Express.Request to ServerRequest

* fix: remove unused setAppConfig mock from Server configuration tests
2025-08-26 12:10:18 -04:00

169 lines
5.1 KiB
JavaScript

const { ErrorTypes, EModelEndpoint, mapModelToAzureConfig } = require('librechat-data-provider');
const {
isEnabled,
resolveHeaders,
isUserProvided,
getOpenAIConfig,
getAzureCredentials,
createHandleLLMNewToken,
} = require('@librechat/api');
const { getUserKeyValues, checkUserKeyExpiry } = require('~/server/services/UserService');
const OpenAIClient = require('~/app/clients/OpenAIClient');
const initializeClient = async ({
req,
res,
endpointOption,
optionsOnly,
overrideEndpoint,
overrideModel,
}) => {
const appConfig = req.config;
const {
PROXY,
OPENAI_API_KEY,
AZURE_API_KEY,
OPENAI_REVERSE_PROXY,
AZURE_OPENAI_BASEURL,
OPENAI_SUMMARIZE,
DEBUG_OPENAI,
} = process.env;
const { key: expiresAt } = req.body;
const modelName = overrideModel ?? req.body.model;
const endpoint = overrideEndpoint ?? req.body.endpoint;
const contextStrategy = isEnabled(OPENAI_SUMMARIZE) ? 'summarize' : null;
const credentials = {
[EModelEndpoint.openAI]: OPENAI_API_KEY,
[EModelEndpoint.azureOpenAI]: AZURE_API_KEY,
};
const baseURLOptions = {
[EModelEndpoint.openAI]: OPENAI_REVERSE_PROXY,
[EModelEndpoint.azureOpenAI]: AZURE_OPENAI_BASEURL,
};
const userProvidesKey = isUserProvided(credentials[endpoint]);
const userProvidesURL = isUserProvided(baseURLOptions[endpoint]);
let userValues = null;
if (expiresAt && (userProvidesKey || userProvidesURL)) {
checkUserKeyExpiry(expiresAt, endpoint);
userValues = await getUserKeyValues({ userId: req.user.id, name: endpoint });
}
let apiKey = userProvidesKey ? userValues?.apiKey : credentials[endpoint];
let baseURL = userProvidesURL ? userValues?.baseURL : baseURLOptions[endpoint];
let clientOptions = {
contextStrategy,
proxy: PROXY ?? null,
debug: isEnabled(DEBUG_OPENAI),
reverseProxyUrl: baseURL ? baseURL : null,
...endpointOption,
};
const isAzureOpenAI = endpoint === EModelEndpoint.azureOpenAI;
/** @type {false | TAzureConfig} */
const azureConfig = isAzureOpenAI && appConfig.endpoints?.[EModelEndpoint.azureOpenAI];
let serverless = false;
if (isAzureOpenAI && azureConfig) {
const { modelGroupMap, groupMap } = azureConfig;
const {
azureOptions,
baseURL,
headers = {},
serverless: _serverless,
} = mapModelToAzureConfig({
modelName,
modelGroupMap,
groupMap,
});
serverless = _serverless;
clientOptions.reverseProxyUrl = baseURL ?? clientOptions.reverseProxyUrl;
clientOptions.headers = resolveHeaders({
headers: { ...headers, ...(clientOptions.headers ?? {}) },
user: req.user,
});
clientOptions.titleConvo = azureConfig.titleConvo;
clientOptions.titleModel = azureConfig.titleModel;
const azureRate = modelName.includes('gpt-4') ? 30 : 17;
clientOptions.streamRate = azureConfig.streamRate ?? azureRate;
clientOptions.titleMethod = azureConfig.titleMethod ?? 'completion';
const groupName = modelGroupMap[modelName].group;
clientOptions.addParams = azureConfig.groupMap[groupName].addParams;
clientOptions.dropParams = azureConfig.groupMap[groupName].dropParams;
clientOptions.forcePrompt = azureConfig.groupMap[groupName].forcePrompt;
apiKey = azureOptions.azureOpenAIApiKey;
clientOptions.azure = !serverless && azureOptions;
if (serverless === true) {
clientOptions.defaultQuery = azureOptions.azureOpenAIApiVersion
? { 'api-version': azureOptions.azureOpenAIApiVersion }
: undefined;
clientOptions.headers['api-key'] = apiKey;
}
} else if (isAzureOpenAI) {
clientOptions.azure = userProvidesKey ? JSON.parse(userValues.apiKey) : getAzureCredentials();
apiKey = clientOptions.azure.azureOpenAIApiKey;
}
/** @type {undefined | TBaseEndpoint} */
const openAIConfig = appConfig.endpoints?.[EModelEndpoint.openAI];
if (!isAzureOpenAI && openAIConfig) {
clientOptions.streamRate = openAIConfig.streamRate;
clientOptions.titleModel = openAIConfig.titleModel;
}
const allConfig = appConfig.endpoints?.all;
if (allConfig) {
clientOptions.streamRate = allConfig.streamRate;
}
if (userProvidesKey & !apiKey) {
throw new Error(
JSON.stringify({
type: ErrorTypes.NO_USER_KEY,
}),
);
}
if (!apiKey) {
throw new Error(`${endpoint} API Key not provided.`);
}
if (optionsOnly) {
const modelOptions = endpointOption?.model_parameters ?? {};
modelOptions.model = modelName;
clientOptions = Object.assign({ modelOptions }, clientOptions);
clientOptions.modelOptions.user = req.user.id;
const options = getOpenAIConfig(apiKey, clientOptions);
if (options != null && serverless === true) {
options.useLegacyContent = true;
}
const streamRate = clientOptions.streamRate;
if (!streamRate) {
return options;
}
options.llmConfig.callbacks = [
{
handleLLMNewToken: createHandleLLMNewToken(streamRate),
},
];
return options;
}
const client = new OpenAIClient(apiKey, Object.assign({ req, res }, clientOptions));
return {
client,
openAIApiKey: apiKey,
};
};
module.exports = initializeClient;