00b2d026c1
* chore: update @librechat/agents to version 2.1.9 * feat: xAI standalone provider for agents * chore: bump librechat-data-provider version to 0.7.6997 * fix: reorder import statements and enhance user listing output * fix: Update Docker Compose commands to support v2 syntax with fallback * 🔧 fix: drop `reasoning_effort` for o1-preview/mini models * chore: requireLocalAuth logging * fix: edge case artifact message editing logic to handle `new` conversation IDs * fix: remove `temperature` from model options in OpenAIClient if o1-mini/preview * fix: update type annotation for fetchPromisesMap to use Promise<string[]> instead of string[] * feat: anthropic model fetching * fix: update model name to use EModelEndpoint.openAI in fetchModels and fetchOpenAIModels * fix: add error handling to modelController for loadModels * fix: add error handling and logging for model fetching in loadDefaultModels * ci: update getAnthropicModels tests to be asynchronous * feat: add user ID to model options in OpenAI and custom endpoint initialization --------- Co-authored-by: Andrei Berceanu <andreicberceanu@gmail.com> Co-authored-by: KiGamji <maloyh44@gmail.com>
83 lines
2.6 KiB
JavaScript
83 lines
2.6 KiB
JavaScript
const { EModelEndpoint } = require('librechat-data-provider');
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const { useAzurePlugins } = require('~/server/services/Config/EndpointService').config;
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const {
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getOpenAIModels,
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getGoogleModels,
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getBedrockModels,
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getAnthropicModels,
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} = require('~/server/services/ModelService');
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const { logger } = require('~/config');
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/**
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* Loads the default models for the application.
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* @async
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* @function
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* @param {Express.Request} req - The Express request object.
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*/
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async function loadDefaultModels(req) {
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try {
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const [
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openAI,
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anthropic,
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azureOpenAI,
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gptPlugins,
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assistants,
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azureAssistants,
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google,
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bedrock,
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] = await Promise.all([
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getOpenAIModels({ user: req.user.id }).catch((error) => {
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logger.error('Error fetching OpenAI models:', error);
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return [];
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}),
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getAnthropicModels({ user: req.user.id }).catch((error) => {
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logger.error('Error fetching Anthropic models:', error);
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return [];
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}),
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getOpenAIModels({ user: req.user.id, azure: true }).catch((error) => {
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logger.error('Error fetching Azure OpenAI models:', error);
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return [];
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}),
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getOpenAIModels({ user: req.user.id, azure: useAzurePlugins, plugins: true }).catch(
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(error) => {
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logger.error('Error fetching Plugin models:', error);
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return [];
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},
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),
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getOpenAIModels({ assistants: true }).catch((error) => {
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logger.error('Error fetching OpenAI Assistants API models:', error);
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return [];
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}),
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getOpenAIModels({ azureAssistants: true }).catch((error) => {
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logger.error('Error fetching Azure OpenAI Assistants API models:', error);
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return [];
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}),
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Promise.resolve(getGoogleModels()).catch((error) => {
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logger.error('Error getting Google models:', error);
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return [];
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}),
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Promise.resolve(getBedrockModels()).catch((error) => {
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logger.error('Error getting Bedrock models:', error);
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return [];
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}),
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]);
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return {
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[EModelEndpoint.openAI]: openAI,
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[EModelEndpoint.agents]: openAI,
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[EModelEndpoint.google]: google,
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[EModelEndpoint.anthropic]: anthropic,
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[EModelEndpoint.gptPlugins]: gptPlugins,
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[EModelEndpoint.azureOpenAI]: azureOpenAI,
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[EModelEndpoint.assistants]: assistants,
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[EModelEndpoint.azureAssistants]: azureAssistants,
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[EModelEndpoint.bedrock]: bedrock,
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};
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} catch (error) {
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logger.error('Error fetching default models:', error);
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throw new Error(`Failed to load default models: ${error.message}`);
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}
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}
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module.exports = loadDefaultModels;
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