LibreChat/api/app/clients/llm/createLLM.js
Danny Avila 24c0433dcf
🖥️ feat: Code Interpreter API for Non-Agent Endpoints (#6803)
* fix: Prevent parsing 'undefined' string in useLocalStorage initialization

* feat: first pass, code interpreter badge

* feat: Integrate API key authentication and default checked value in Code Interpreter Badge

* refactor: Rename showMCPServers to showEphemeralBadges and update related components, memoize values in useChatBadges

* refactor: Enhance AttachFileChat to support ephemeral agents in file attachment logic

* fix: Add baseURL configuration option to legacy function call

* refactor: Update dependency array in useDragHelpers to include handleFiles

* refactor: Update isEphemeralAgent function to accept optional endpoint parameter

* refactor: Update file handling to support ephemeral agents in AttachFileMenu and useDragHelpers

* fix: improve compatibility issues with OpenAI usage field handling in createRun function

* refactor: usage field compatibility

* fix: ensure mcp servers are no longer "selected" if mcp servers are now unavailable
2025-04-09 16:11:16 -04:00

82 lines
2.8 KiB
JavaScript

const { ChatOpenAI } = require('@langchain/openai');
const { sanitizeModelName, constructAzureURL } = require('~/utils');
const { isEnabled } = require('~/server/utils');
/**
* 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;