mirror of
https://github.com/danny-avila/LibreChat.git
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* chore: bump langchain deps to address vulnerability warnings * chore: bump community package and install textsplitters package * fix: update expected result in tokenSplit tests for accuracy * chore: remove CodeSherpa tools * chore: remove E2B tools and loadToolSuite * chore: remove CodeBrew tool and update related references * chore: remove HumanTool and ChatTool, update tool references * chore: remove Zapier tool from manifest.json and update SerpAPI * chore: remove basic tools * chore: update import path for RecursiveCharacterTextSplitter * chore: update import path for DynamicStructuredTool * chore: remove extractionChain.js and update tool filtering logic * chore: npm audit fix * chore: bump google packages * chore: update DALL-E tool to DALL-E-3 and adjust authentication logic * ci: update message classes * chore: elliptic npm audit fix * chore: update CallbackManager import and remove deprecated tool handling logic * chore: imports order * chore: remove unused code --------- Co-authored-by: Max Sanna <max@maxsanna.com>
81 lines
2.7 KiB
JavaScript
81 lines
2.7 KiB
JavaScript
const { ChatOpenAI } = require('@langchain/openai');
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const { sanitizeModelName, constructAzureURL } = require('~/utils');
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const { isEnabled } = require('~/server/utils');
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/**
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* Creates a new instance of a language model (LLM) for chat interactions.
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*
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* @param {Object} options - The options for creating the LLM.
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* @param {ModelOptions} options.modelOptions - The options specific to the model, including modelName, temperature, presence_penalty, frequency_penalty, and other model-related settings.
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* @param {ConfigOptions} options.configOptions - Configuration options for the API requests, including proxy settings and custom headers.
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* @param {Callbacks} [options.callbacks] - Callback functions for managing the lifecycle of the LLM, including token buffers, context, and initial message count.
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* @param {boolean} [options.streaming=false] - Determines if the LLM should operate in streaming mode.
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* @param {string} options.openAIApiKey - The API key for OpenAI, used for authentication.
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* @param {AzureOptions} [options.azure={}] - Optional Azure-specific configurations. If provided, Azure configurations take precedence over OpenAI configurations.
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*
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* @returns {ChatOpenAI} An instance of the ChatOpenAI class, configured with the provided options.
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*
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* @example
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* const llm = createLLM({
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* modelOptions: { modelName: 'gpt-3.5-turbo', temperature: 0.2 },
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* configOptions: { basePath: 'https://example.api/path' },
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* callbacks: { onMessage: handleMessage },
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* openAIApiKey: 'your-api-key'
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* });
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*/
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function createLLM({
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modelOptions,
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configOptions,
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callbacks,
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streaming = false,
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openAIApiKey,
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azure = {},
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}) {
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let credentials = { openAIApiKey };
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let configuration = {
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apiKey: openAIApiKey,
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};
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/** @type {AzureOptions} */
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let azureOptions = {};
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if (azure) {
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const useModelName = isEnabled(process.env.AZURE_USE_MODEL_AS_DEPLOYMENT_NAME);
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credentials = {};
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configuration = {};
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azureOptions = azure;
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azureOptions.azureOpenAIApiDeploymentName = useModelName
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? sanitizeModelName(modelOptions.modelName)
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: azureOptions.azureOpenAIApiDeploymentName;
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}
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if (azure && process.env.AZURE_OPENAI_DEFAULT_MODEL) {
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modelOptions.modelName = process.env.AZURE_OPENAI_DEFAULT_MODEL;
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}
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if (azure && configOptions.basePath) {
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const azureURL = constructAzureURL({
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baseURL: configOptions.basePath,
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azureOptions,
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});
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azureOptions.azureOpenAIBasePath = azureURL.split(
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`/${azureOptions.azureOpenAIApiDeploymentName}`,
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)[0];
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}
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return new ChatOpenAI(
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{
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streaming,
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credentials,
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configuration,
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...azureOptions,
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...modelOptions,
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...credentials,
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callbacks,
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},
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configOptions,
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);
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}
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module.exports = createLLM;
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