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https://github.com/danny-avila/LibreChat.git
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* chore: bump https-proxy-agent and @librechat/agents * refactor: Improve error logging in OllamaClient for API fetch failures * feat: Add DeepSeek provider support and enhance provider name handling * refactor: Use Providers.OLLAMA constant for model name check in fetchModels function * feat: Enhance formatAgentMessages to handle reasoning content type * feat: OpenRouter Agent Reasoning * hard work and dedicationgit add .env.example :) * fix: Handle Google social login with missing last name Social login with Google was previously displaying 'undefined' when a user's last name was empty or not provided. Changes: - Conditionally render last name only if it exists - Prevent displaying 'undefined' when last name is missing * fix: add missing file endings for developers yml,yaml and log --------- Co-authored-by: Mohamed Al-Duraji <mbalduraji@college.harvard.edu> Co-authored-by: Deepak Kendole <deepakdpk101@gmail.com> Co-authored-by: Peter Rothlaender <peter.rothlaender@ginkgo.com>
129 lines
4.4 KiB
JavaScript
129 lines
4.4 KiB
JavaScript
const { HttpsProxyAgent } = require('https-proxy-agent');
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const { KnownEndpoints } = require('librechat-data-provider');
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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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* Generates configuration options for creating a language model (LLM) instance.
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* @param {string} apiKey - The API key for authentication.
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* @param {Object} options - Additional options for configuring the LLM.
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* @param {Object} [options.modelOptions] - Model-specific options.
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* @param {string} [options.modelOptions.model] - The name of the model to use.
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* @param {number} [options.modelOptions.temperature] - Controls randomness in output generation (0-2).
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* @param {number} [options.modelOptions.top_p] - Controls diversity via nucleus sampling (0-1).
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* @param {number} [options.modelOptions.frequency_penalty] - Reduces repetition of token sequences (-2 to 2).
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* @param {number} [options.modelOptions.presence_penalty] - Encourages discussing new topics (-2 to 2).
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* @param {number} [options.modelOptions.max_tokens] - The maximum number of tokens to generate.
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* @param {string[]} [options.modelOptions.stop] - Sequences where the API will stop generating further tokens.
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* @param {string} [options.reverseProxyUrl] - URL for a reverse proxy, if used.
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* @param {boolean} [options.useOpenRouter] - Flag to use OpenRouter API.
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* @param {Object} [options.headers] - Additional headers for API requests.
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* @param {string} [options.proxy] - Proxy server URL.
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* @param {Object} [options.azure] - Azure-specific configurations.
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* @param {boolean} [options.streaming] - Whether to use streaming mode.
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* @param {Object} [options.addParams] - Additional parameters to add to the model options.
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* @param {string[]} [options.dropParams] - Parameters to remove from the model options.
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* @returns {Object} Configuration options for creating an LLM instance.
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*/
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function getLLMConfig(apiKey, options = {}) {
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const {
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modelOptions = {},
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reverseProxyUrl,
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useOpenRouter,
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defaultQuery,
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headers,
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proxy,
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azure,
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streaming = true,
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addParams,
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dropParams,
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} = options;
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/** @type {OpenAIClientOptions} */
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let llmConfig = {
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streaming,
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};
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Object.assign(llmConfig, modelOptions);
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if (addParams && typeof addParams === 'object') {
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Object.assign(llmConfig, addParams);
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}
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if (dropParams && Array.isArray(dropParams)) {
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dropParams.forEach((param) => {
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delete llmConfig[param];
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});
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}
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/** @type {OpenAIClientOptions['configuration']} */
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const configOptions = {};
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if (useOpenRouter || reverseProxyUrl.includes(KnownEndpoints.openrouter)) {
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llmConfig.include_reasoning = true;
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configOptions.baseURL = reverseProxyUrl;
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configOptions.defaultHeaders = Object.assign(
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{
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'HTTP-Referer': 'https://librechat.ai',
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'X-Title': 'LibreChat',
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},
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headers,
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);
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} else if (reverseProxyUrl) {
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configOptions.baseURL = reverseProxyUrl;
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if (headers) {
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configOptions.defaultHeaders = headers;
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}
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}
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if (defaultQuery) {
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configOptions.defaultQuery = defaultQuery;
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}
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if (proxy) {
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const proxyAgent = new HttpsProxyAgent(proxy);
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Object.assign(configOptions, {
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httpAgent: proxyAgent,
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httpsAgent: proxyAgent,
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});
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}
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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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azure.azureOpenAIApiDeploymentName = useModelName
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? sanitizeModelName(llmConfig.model)
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: azure.azureOpenAIApiDeploymentName;
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if (process.env.AZURE_OPENAI_DEFAULT_MODEL) {
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llmConfig.model = process.env.AZURE_OPENAI_DEFAULT_MODEL;
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}
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if (configOptions.baseURL) {
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const azureURL = constructAzureURL({
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baseURL: configOptions.baseURL,
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azureOptions: azure,
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});
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azure.azureOpenAIBasePath = azureURL.split(`/${azure.azureOpenAIApiDeploymentName}`)[0];
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}
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Object.assign(llmConfig, azure);
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llmConfig.model = llmConfig.azureOpenAIApiDeploymentName;
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} else {
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llmConfig.openAIApiKey = apiKey;
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// Object.assign(llmConfig, {
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// configuration: { apiKey },
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// });
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}
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if (process.env.OPENAI_ORGANIZATION && this.azure) {
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llmConfig.organization = process.env.OPENAI_ORGANIZATION;
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}
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return {
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/** @type {OpenAIClientOptions} */
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llmConfig,
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/** @type {OpenAIClientOptions['configuration']} */
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configOptions,
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};
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}
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module.exports = { getLLMConfig };
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