mirror of
https://github.com/danny-avila/LibreChat.git
synced 2025-09-21 21:50:49 +02:00
583e978a82
* feat: update PaLM icons * feat: add additional google models * POC: formatting inputs for Vertex AI streaming * refactor: move endpoints services outside of /routes dir to /services/Endpoints * refactor: shorten schemas import * refactor: rename PALM to GOOGLE * feat: make Google editable endpoint * feat: reusable Ask and Edit controllers based off Anthropic * chore: organize imports/logic * fix(parseConvo): include examples in googleSchema * fix: google only allows odd number of messages to be sent * fix: pass proxy to AnthropicClient * refactor: change `google` altName to `Google` * refactor: update getModelMaxTokens and related functions to handle maxTokensMap with nested endpoint model key/values * refactor: google Icon and response sender changes (Codey and Google logo instead of PaLM in all cases) * feat: google support for maxTokensMap * feat: google updated endpoints with Ask/Edit controllers, buildOptions, and initializeClient * feat(GoogleClient): now builds prompt for text models and supports real streaming from Vertex AI through langchain * chore(GoogleClient): remove comments, left before for reference in git history * docs: update google instructions (WIP) * docs(apis_and_tokens.md): add images to google instructions * docs: remove typo apis_and_tokens.md * Update apis_and_tokens.md * feat(Google): use default settings map, fully support context for both text and chat models, fully support examples for chat models * chore: update more PaLM references to Google * chore: move playwright out of workflows to avoid failing tests
52 lines
1.7 KiB
JavaScript
52 lines
1.7 KiB
JavaScript
const { EModelEndpoint } = require('~/server/services/Endpoints');
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const loadAsyncEndpoints = require('./loadAsyncEndpoints');
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const { config } = require('./EndpointService');
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/**
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* Load async endpoints and return a configuration object
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* @function loadDefaultEndpointsConfig
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* @returns {Promise<Object.<string, EndpointWithOrder>>} An object whose keys are endpoint names and values are objects that contain the endpoint configuration and an order.
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*/
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async function loadDefaultEndpointsConfig() {
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const { google, gptPlugins } = await loadAsyncEndpoints();
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const { openAI, bingAI, anthropic, azureOpenAI, chatGPTBrowser } = config;
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let enabledEndpoints = [
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EModelEndpoint.openAI,
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EModelEndpoint.azureOpenAI,
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EModelEndpoint.google,
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EModelEndpoint.bingAI,
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EModelEndpoint.chatGPTBrowser,
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EModelEndpoint.gptPlugins,
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EModelEndpoint.anthropic,
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];
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const endpointsEnv = process.env.ENDPOINTS || '';
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if (endpointsEnv) {
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enabledEndpoints = endpointsEnv
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.split(',')
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.filter((endpoint) => endpoint?.trim())
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.map((endpoint) => endpoint.trim());
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}
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const endpointConfig = {
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[EModelEndpoint.openAI]: openAI,
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[EModelEndpoint.azureOpenAI]: azureOpenAI,
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[EModelEndpoint.google]: google,
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[EModelEndpoint.bingAI]: bingAI,
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[EModelEndpoint.chatGPTBrowser]: chatGPTBrowser,
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[EModelEndpoint.gptPlugins]: gptPlugins,
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[EModelEndpoint.anthropic]: anthropic,
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};
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const orderedAndFilteredEndpoints = enabledEndpoints.reduce((config, key, index) => {
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if (endpointConfig[key]) {
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config[key] = { ...(endpointConfig[key] ?? {}), order: index };
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}
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return config;
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}, {});
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return orderedAndFilteredEndpoints;
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}
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module.exports = loadDefaultEndpointsConfig;
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