⚙️ chore: Resolve Build Warning, Package Cleanup, Robust Temp Chat Time (#9962)

* ⚙️ chore: Resolve Build Warning and `keyvMongo` types

* 🔄 chore: Update mongodb version to ^6.14.2 in package.json and package-lock.json

* chore: remove @langchain/openai dep

* 🔄 refactor: Change log level from warn to debug for missing endpoint config

* 🔄 refactor: Improve temp chat expiration date calculation in tests and implementation

api/app/clients/llm/createLLM.js

@@ -1,81 +0,0 @@
-const { ChatOpenAI } = require('@langchain/openai');
-const { isEnabled, sanitizeModelName, constructAzureURL } = require('@librechat/api');
-
-/**
- * Creates a new instance of a language model (LLM) for chat interactions.
- *
- * @param {Object} options - The options for creating the LLM.
- * @param {ModelOptions} options.modelOptions - The options specific to the model, including modelName, temperature, presence_penalty, frequency_penalty, and other model-related settings.
- * @param {ConfigOptions} options.configOptions - Configuration options for the API requests, including proxy settings and custom headers.
- * @param {Callbacks} [options.callbacks] - Callback functions for managing the lifecycle of the LLM, including token buffers, context, and initial message count.
- * @param {boolean} [options.streaming=false] - Determines if the LLM should operate in streaming mode.
- * @param {string} options.openAIApiKey - The API key for OpenAI, used for authentication.
- * @param {AzureOptions} [options.azure={}] - Optional Azure-specific configurations. If provided, Azure configurations take precedence over OpenAI configurations.
- *
- * @returns {ChatOpenAI} An instance of the ChatOpenAI class, configured with the provided options.
- *
- * @example
- * const llm = createLLM({
- *   modelOptions: { modelName: 'gpt-4o-mini', temperature: 0.2 },
- *   configOptions: { basePath: 'https://example.api/path' },
- *   callbacks: { onMessage: handleMessage },
- *   openAIApiKey: 'your-api-key'
- * });
- */
-function createLLM({
-  modelOptions,
-  configOptions,
-  callbacks,
-  streaming = false,
-  openAIApiKey,
-  azure = {},
-}) {
-  let credentials = { openAIApiKey };
-  let configuration = {
-    apiKey: openAIApiKey,
-    ...(configOptions.basePath && { baseURL: configOptions.basePath }),
-  };
-
-  /**  @type {AzureOptions} */
-  let azureOptions = {};
-  if (azure) {
-    const useModelName = isEnabled(process.env.AZURE_USE_MODEL_AS_DEPLOYMENT_NAME);
-
-    credentials = {};
-    configuration = {};
-    azureOptions = azure;
-
-    azureOptions.azureOpenAIApiDeploymentName = useModelName
-      ? sanitizeModelName(modelOptions.modelName)
-      : azureOptions.azureOpenAIApiDeploymentName;
-  }
-
-  if (azure && process.env.AZURE_OPENAI_DEFAULT_MODEL) {
-    modelOptions.modelName = process.env.AZURE_OPENAI_DEFAULT_MODEL;
-  }
-
-  if (azure && configOptions.basePath) {
-    const azureURL = constructAzureURL({
-      baseURL: configOptions.basePath,
-      azureOptions,
-    });
-    azureOptions.azureOpenAIBasePath = azureURL.split(
-      `/${azureOptions.azureOpenAIApiDeploymentName}`,
-    )[0];
-  }
-
-  return new ChatOpenAI(
-    {
-      streaming,
-      credentials,
-      configuration,
-      ...azureOptions,
-      ...modelOptions,
-      ...credentials,
-      callbacks,
-    },
-    configOptions,
-  );
-}
-
-module.exports = createLLM;

api/app/clients/llm/index.js

@@ -1,7 +1,5 @@
-const createLLM = require('./createLLM');
 const createCoherePayload = require('./createCoherePayload');
 
 module.exports = {
-  createLLM,
   createCoherePayload,
 };