mirror of
https://github.com/danny-avila/LibreChat.git
synced 2025-09-22 06:00:56 +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
43 lines
1.4 KiB
JavaScript
43 lines
1.4 KiB
JavaScript
const {
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getOpenAIModels,
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getChatGPTBrowserModels,
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getAnthropicModels,
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} = require('~/server/services/ModelService');
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const { EModelEndpoint } = require('~/server/services/Endpoints');
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const { useAzurePlugins } = require('~/server/services/Config/EndpointService').config;
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const fitlerAssistantModels = (str) => {
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return /gpt-4|gpt-3\\.5/i.test(str) && !/vision|instruct/i.test(str);
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};
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async function loadDefaultModels() {
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const openAI = await getOpenAIModels();
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const anthropic = getAnthropicModels();
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const chatGPTBrowser = getChatGPTBrowserModels();
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const azureOpenAI = await getOpenAIModels({ azure: true });
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const gptPlugins = await getOpenAIModels({ azure: useAzurePlugins, plugins: true });
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return {
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[EModelEndpoint.openAI]: openAI,
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[EModelEndpoint.azureOpenAI]: azureOpenAI,
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[EModelEndpoint.assistant]: openAI.filter(fitlerAssistantModels),
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[EModelEndpoint.google]: [
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'chat-bison',
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'chat-bison-32k',
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'codechat-bison',
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'codechat-bison-32k',
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'text-bison',
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'text-bison-32k',
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'text-unicorn',
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'code-gecko',
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'code-bison',
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'code-bison-32k',
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],
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[EModelEndpoint.bingAI]: ['BingAI', 'Sydney'],
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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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}
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module.exports = loadDefaultModels;
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