mirror of
https://github.com/ItzCrazyKns/Perplexica.git
synced 2025-06-22 17:58:31 +00:00
feat(app): remove backend
This commit is contained in:
@ -1,6 +1,38 @@
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import { ChatAnthropic } from '@langchain/anthropic';
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import { getAnthropicApiKey } from '../../config';
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import logger from '../../utils/logger';
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import { ChatOpenAI } from '@langchain/openai';
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import { ChatModel } from '.';
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import { getAnthropicApiKey } from '../config';
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import { BaseChatModel } from '@langchain/core/language_models/chat_models';
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const anthropicChatModels: Record<string, string>[] = [
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{
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displayName: 'Claude 3.7 Sonnet',
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key: 'claude-3-7-sonnet-20250219',
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},
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{
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displayName: 'Claude 3.5 Haiku',
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key: 'claude-3-5-haiku-20241022',
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},
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{
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displayName: 'Claude 3.5 Sonnet v2',
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key: 'claude-3-5-sonnet-20241022',
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},
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{
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displayName: 'Claude 3.5 Sonnet',
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key: 'claude-3-5-sonnet-20240620',
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},
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{
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displayName: 'Claude 3 Opus',
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key: 'claude-3-opus-20240229',
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},
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{
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displayName: 'Claude 3 Sonnet',
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key: 'claude-3-sonnet-20240229',
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},
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{
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displayName: 'Claude 3 Haiku',
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key: 'claude-3-haiku-20240307',
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},
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];
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export const loadAnthropicChatModels = async () => {
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const anthropicApiKey = getAnthropicApiKey();
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@ -8,52 +40,25 @@ export const loadAnthropicChatModels = async () => {
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if (!anthropicApiKey) return {};
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try {
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const chatModels = {
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'claude-3-5-sonnet-20241022': {
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displayName: 'Claude 3.5 Sonnet',
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model: new ChatAnthropic({
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const chatModels: Record<string, ChatModel> = {};
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anthropicChatModels.forEach((model) => {
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chatModels[model.key] = {
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displayName: model.displayName,
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model: new ChatOpenAI({
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openAIApiKey: anthropicApiKey,
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modelName: model.key,
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temperature: 0.7,
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anthropicApiKey: anthropicApiKey,
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model: 'claude-3-5-sonnet-20241022',
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}),
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},
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'claude-3-5-haiku-20241022': {
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displayName: 'Claude 3.5 Haiku',
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model: new ChatAnthropic({
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temperature: 0.7,
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anthropicApiKey: anthropicApiKey,
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model: 'claude-3-5-haiku-20241022',
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}),
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},
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'claude-3-opus-20240229': {
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displayName: 'Claude 3 Opus',
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model: new ChatAnthropic({
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temperature: 0.7,
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anthropicApiKey: anthropicApiKey,
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model: 'claude-3-opus-20240229',
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}),
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},
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'claude-3-sonnet-20240229': {
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displayName: 'Claude 3 Sonnet',
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model: new ChatAnthropic({
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temperature: 0.7,
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anthropicApiKey: anthropicApiKey,
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model: 'claude-3-sonnet-20240229',
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}),
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},
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'claude-3-haiku-20240307': {
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displayName: 'Claude 3 Haiku',
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model: new ChatAnthropic({
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temperature: 0.7,
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anthropicApiKey: anthropicApiKey,
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model: 'claude-3-haiku-20240307',
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}),
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},
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};
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configuration: {
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baseURL: 'https://api.anthropic.com/v1/',
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},
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}) as unknown as BaseChatModel,
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};
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});
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return chatModels;
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} catch (err) {
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logger.error(`Error loading Anthropic models: ${err}`);
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console.error(`Error loading Anthropic models: ${err}`);
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return {};
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}
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};
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|
@ -1,9 +1,42 @@
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import {
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ChatGoogleGenerativeAI,
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GoogleGenerativeAIEmbeddings,
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} from '@langchain/google-genai';
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import { getGeminiApiKey } from '../../config';
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import logger from '../../utils/logger';
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import { ChatOpenAI, OpenAIEmbeddings } from '@langchain/openai';
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import { getGeminiApiKey } from '../config';
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import { ChatModel, EmbeddingModel } from '.';
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import { BaseChatModel } from '@langchain/core/language_models/chat_models';
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import { Embeddings } from '@langchain/core/embeddings';
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const geminiChatModels: Record<string, string>[] = [
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{
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displayName: 'Gemini 2.0 Flash',
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key: 'gemini-2.0-flash',
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},
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{
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displayName: 'Gemini 2.0 Flash-Lite',
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key: 'gemini-2.0-flash-lite',
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},
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{
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displayName: 'Gemini 2.0 Pro Experimental',
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key: 'gemini-2.0-pro-exp-02-05',
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},
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{
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displayName: 'Gemini 1.5 Flash',
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key: 'gemini-1.5-flash',
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},
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{
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displayName: 'Gemini 1.5 Flash-8B',
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key: 'gemini-1.5-flash-8b',
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},
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{
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displayName: 'Gemini 1.5 Pro',
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key: 'gemini-1.5-pro',
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},
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];
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const geminiEmbeddingModels: Record<string, string>[] = [
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{
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displayName: 'Gemini Embedding',
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key: 'gemini-embedding-exp',
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},
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];
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export const loadGeminiChatModels = async () => {
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const geminiApiKey = getGeminiApiKey();
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@ -11,75 +44,53 @@ export const loadGeminiChatModels = async () => {
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if (!geminiApiKey) return {};
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try {
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const chatModels = {
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'gemini-1.5-flash': {
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displayName: 'Gemini 1.5 Flash',
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model: new ChatGoogleGenerativeAI({
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modelName: 'gemini-1.5-flash',
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const chatModels: Record<string, ChatModel> = {};
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geminiChatModels.forEach((model) => {
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chatModels[model.key] = {
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displayName: model.displayName,
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model: new ChatOpenAI({
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openAIApiKey: geminiApiKey,
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modelName: model.key,
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temperature: 0.7,
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apiKey: geminiApiKey,
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}),
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},
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'gemini-1.5-flash-8b': {
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displayName: 'Gemini 1.5 Flash 8B',
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model: new ChatGoogleGenerativeAI({
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modelName: 'gemini-1.5-flash-8b',
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temperature: 0.7,
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apiKey: geminiApiKey,
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}),
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},
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'gemini-1.5-pro': {
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displayName: 'Gemini 1.5 Pro',
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model: new ChatGoogleGenerativeAI({
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modelName: 'gemini-1.5-pro',
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temperature: 0.7,
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apiKey: geminiApiKey,
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}),
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},
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'gemini-2.0-flash-exp': {
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displayName: 'Gemini 2.0 Flash Exp',
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model: new ChatGoogleGenerativeAI({
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modelName: 'gemini-2.0-flash-exp',
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temperature: 0.7,
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apiKey: geminiApiKey,
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}),
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},
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'gemini-2.0-flash-thinking-exp-01-21': {
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displayName: 'Gemini 2.0 Flash Thinking Exp 01-21',
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model: new ChatGoogleGenerativeAI({
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modelName: 'gemini-2.0-flash-thinking-exp-01-21',
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temperature: 0.7,
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apiKey: geminiApiKey,
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}),
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},
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};
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configuration: {
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baseURL: 'https://generativelanguage.googleapis.com/v1beta/openai/',
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},
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}) as unknown as BaseChatModel,
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};
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});
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return chatModels;
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} catch (err) {
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logger.error(`Error loading Gemini models: ${err}`);
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console.error(`Error loading Gemini models: ${err}`);
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return {};
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}
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};
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export const loadGeminiEmbeddingsModels = async () => {
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export const loadGeminiEmbeddingModels = async () => {
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const geminiApiKey = getGeminiApiKey();
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if (!geminiApiKey) return {};
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try {
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const embeddingModels = {
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'text-embedding-004': {
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displayName: 'Text Embedding',
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model: new GoogleGenerativeAIEmbeddings({
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apiKey: geminiApiKey,
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modelName: 'text-embedding-004',
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}),
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},
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};
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const embeddingModels: Record<string, EmbeddingModel> = {};
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geminiEmbeddingModels.forEach((model) => {
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embeddingModels[model.key] = {
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displayName: model.displayName,
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model: new OpenAIEmbeddings({
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openAIApiKey: geminiApiKey,
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modelName: model.key,
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configuration: {
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baseURL: 'https://generativelanguage.googleapis.com/v1beta/openai/',
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},
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}) as unknown as Embeddings,
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};
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});
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return embeddingModels;
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} catch (err) {
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logger.error(`Error loading Gemini embeddings model: ${err}`);
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console.error(`Error loading OpenAI embeddings models: ${err}`);
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return {};
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}
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};
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|
@ -1,6 +1,82 @@
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import { ChatOpenAI } from '@langchain/openai';
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import { getGroqApiKey } from '../../config';
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import logger from '../../utils/logger';
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import { getGroqApiKey } from '../config';
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import { ChatModel } from '.';
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import { BaseChatModel } from '@langchain/core/language_models/chat_models';
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const groqChatModels: Record<string, string>[] = [
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{
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displayName: 'Gemma2 9B IT',
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key: 'gemma2-9b-it',
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},
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{
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displayName: 'Llama 3.3 70B Versatile',
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key: 'llama-3.3-70b-versatile',
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},
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{
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displayName: 'Llama 3.1 8B Instant',
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key: 'llama-3.1-8b-instant',
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},
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{
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displayName: 'Llama3 70B 8192',
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key: 'llama3-70b-8192',
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},
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{
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displayName: 'Llama3 8B 8192',
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key: 'llama3-8b-8192',
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},
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{
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displayName: 'Mixtral 8x7B 32768',
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key: 'mixtral-8x7b-32768',
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},
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{
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displayName: 'Qwen QWQ 32B (Preview)',
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key: 'qwen-qwq-32b',
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||||
},
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{
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displayName: 'Mistral Saba 24B (Preview)',
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key: 'mistral-saba-24b',
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},
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{
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||||
displayName: 'Qwen 2.5 Coder 32B (Preview)',
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key: 'qwen-2.5-coder-32b',
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||||
},
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{
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||||
displayName: 'Qwen 2.5 32B (Preview)',
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||||
key: 'qwen-2.5-32b',
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||||
},
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||||
{
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||||
displayName: 'DeepSeek R1 Distill Qwen 32B (Preview)',
|
||||
key: 'deepseek-r1-distill-qwen-32b',
|
||||
},
|
||||
{
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||||
displayName: 'DeepSeek R1 Distill Llama 70B SpecDec (Preview)',
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||||
key: 'deepseek-r1-distill-llama-70b-specdec',
|
||||
},
|
||||
{
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||||
displayName: 'DeepSeek R1 Distill Llama 70B (Preview)',
|
||||
key: 'deepseek-r1-distill-llama-70b',
|
||||
},
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||||
{
|
||||
displayName: 'Llama 3.3 70B SpecDec (Preview)',
|
||||
key: 'llama-3.3-70b-specdec',
|
||||
},
|
||||
{
|
||||
displayName: 'Llama 3.2 1B Preview (Preview)',
|
||||
key: 'llama-3.2-1b-preview',
|
||||
},
|
||||
{
|
||||
displayName: 'Llama 3.2 3B Preview (Preview)',
|
||||
key: 'llama-3.2-3b-preview',
|
||||
},
|
||||
{
|
||||
displayName: 'Llama 3.2 11B Vision Preview (Preview)',
|
||||
key: 'llama-3.2-11b-vision-preview',
|
||||
},
|
||||
{
|
||||
displayName: 'Llama 3.2 90B Vision Preview (Preview)',
|
||||
key: 'llama-3.2-90b-vision-preview',
|
||||
},
|
||||
];
|
||||
|
||||
export const loadGroqChatModels = async () => {
|
||||
const groqApiKey = getGroqApiKey();
|
||||
@ -8,129 +84,25 @@ export const loadGroqChatModels = async () => {
|
||||
if (!groqApiKey) return {};
|
||||
|
||||
try {
|
||||
const chatModels = {
|
||||
'llama-3.3-70b-versatile': {
|
||||
displayName: 'Llama 3.3 70B',
|
||||
model: new ChatOpenAI(
|
||||
{
|
||||
openAIApiKey: groqApiKey,
|
||||
modelName: 'llama-3.3-70b-versatile',
|
||||
temperature: 0.7,
|
||||
},
|
||||
{
|
||||
const chatModels: Record<string, ChatModel> = {};
|
||||
|
||||
groqChatModels.forEach((model) => {
|
||||
chatModels[model.key] = {
|
||||
displayName: model.displayName,
|
||||
model: new ChatOpenAI({
|
||||
openAIApiKey: groqApiKey,
|
||||
modelName: model.key,
|
||||
temperature: 0.7,
|
||||
configuration: {
|
||||
baseURL: 'https://api.groq.com/openai/v1',
|
||||
},
|
||||
),
|
||||
},
|
||||
'llama-3.2-3b-preview': {
|
||||
displayName: 'Llama 3.2 3B',
|
||||
model: new ChatOpenAI(
|
||||
{
|
||||
openAIApiKey: groqApiKey,
|
||||
modelName: 'llama-3.2-3b-preview',
|
||||
temperature: 0.7,
|
||||
},
|
||||
{
|
||||
baseURL: 'https://api.groq.com/openai/v1',
|
||||
},
|
||||
),
|
||||
},
|
||||
'llama-3.2-11b-vision-preview': {
|
||||
displayName: 'Llama 3.2 11B Vision',
|
||||
model: new ChatOpenAI(
|
||||
{
|
||||
openAIApiKey: groqApiKey,
|
||||
modelName: 'llama-3.2-11b-vision-preview',
|
||||
temperature: 0.7,
|
||||
},
|
||||
{
|
||||
baseURL: 'https://api.groq.com/openai/v1',
|
||||
},
|
||||
),
|
||||
},
|
||||
'llama-3.2-90b-vision-preview': {
|
||||
displayName: 'Llama 3.2 90B Vision',
|
||||
model: new ChatOpenAI(
|
||||
{
|
||||
openAIApiKey: groqApiKey,
|
||||
modelName: 'llama-3.2-90b-vision-preview',
|
||||
temperature: 0.7,
|
||||
},
|
||||
{
|
||||
baseURL: 'https://api.groq.com/openai/v1',
|
||||
},
|
||||
),
|
||||
},
|
||||
'llama-3.1-8b-instant': {
|
||||
displayName: 'Llama 3.1 8B',
|
||||
model: new ChatOpenAI(
|
||||
{
|
||||
openAIApiKey: groqApiKey,
|
||||
modelName: 'llama-3.1-8b-instant',
|
||||
temperature: 0.7,
|
||||
},
|
||||
{
|
||||
baseURL: 'https://api.groq.com/openai/v1',
|
||||
},
|
||||
),
|
||||
},
|
||||
'llama3-8b-8192': {
|
||||
displayName: 'LLaMA3 8B',
|
||||
model: new ChatOpenAI(
|
||||
{
|
||||
openAIApiKey: groqApiKey,
|
||||
modelName: 'llama3-8b-8192',
|
||||
temperature: 0.7,
|
||||
},
|
||||
{
|
||||
baseURL: 'https://api.groq.com/openai/v1',
|
||||
},
|
||||
),
|
||||
},
|
||||
'llama3-70b-8192': {
|
||||
displayName: 'LLaMA3 70B',
|
||||
model: new ChatOpenAI(
|
||||
{
|
||||
openAIApiKey: groqApiKey,
|
||||
modelName: 'llama3-70b-8192',
|
||||
temperature: 0.7,
|
||||
},
|
||||
{
|
||||
baseURL: 'https://api.groq.com/openai/v1',
|
||||
},
|
||||
),
|
||||
},
|
||||
'mixtral-8x7b-32768': {
|
||||
displayName: 'Mixtral 8x7B',
|
||||
model: new ChatOpenAI(
|
||||
{
|
||||
openAIApiKey: groqApiKey,
|
||||
modelName: 'mixtral-8x7b-32768',
|
||||
temperature: 0.7,
|
||||
},
|
||||
{
|
||||
baseURL: 'https://api.groq.com/openai/v1',
|
||||
},
|
||||
),
|
||||
},
|
||||
'gemma2-9b-it': {
|
||||
displayName: 'Gemma2 9B',
|
||||
model: new ChatOpenAI(
|
||||
{
|
||||
openAIApiKey: groqApiKey,
|
||||
modelName: 'gemma2-9b-it',
|
||||
temperature: 0.7,
|
||||
},
|
||||
{
|
||||
baseURL: 'https://api.groq.com/openai/v1',
|
||||
},
|
||||
),
|
||||
},
|
||||
};
|
||||
}) as unknown as BaseChatModel,
|
||||
};
|
||||
});
|
||||
|
||||
return chatModels;
|
||||
} catch (err) {
|
||||
logger.error(`Error loading Groq models: ${err}`);
|
||||
console.error(`Error loading Groq models: ${err}`);
|
||||
return {};
|
||||
}
|
||||
};
|
||||
|
@ -1,33 +1,49 @@
|
||||
import { loadGroqChatModels } from './groq';
|
||||
import { loadOllamaChatModels, loadOllamaEmbeddingsModels } from './ollama';
|
||||
import { loadOpenAIChatModels, loadOpenAIEmbeddingsModels } from './openai';
|
||||
import { loadAnthropicChatModels } from './anthropic';
|
||||
import { loadTransformersEmbeddingsModels } from './transformers';
|
||||
import { loadGeminiChatModels, loadGeminiEmbeddingsModels } from './gemini';
|
||||
import { Embeddings } from '@langchain/core/embeddings';
|
||||
import { BaseChatModel } from '@langchain/core/language_models/chat_models';
|
||||
import { loadOpenAIChatModels, loadOpenAIEmbeddingModels } from './openai';
|
||||
import {
|
||||
getCustomOpenaiApiKey,
|
||||
getCustomOpenaiApiUrl,
|
||||
getCustomOpenaiModelName,
|
||||
} from '../../config';
|
||||
} from '../config';
|
||||
import { ChatOpenAI } from '@langchain/openai';
|
||||
import { loadOllamaChatModels, loadOllamaEmbeddingModels } from './ollama';
|
||||
import { loadGroqChatModels } from './groq';
|
||||
import { loadAnthropicChatModels } from './anthropic';
|
||||
import { loadGeminiChatModels, loadGeminiEmbeddingModels } from './gemini';
|
||||
|
||||
const chatModelProviders = {
|
||||
export interface ChatModel {
|
||||
displayName: string;
|
||||
model: BaseChatModel;
|
||||
}
|
||||
|
||||
export interface EmbeddingModel {
|
||||
displayName: string;
|
||||
model: Embeddings;
|
||||
}
|
||||
|
||||
export const chatModelProviders: Record<
|
||||
string,
|
||||
() => Promise<Record<string, ChatModel>>
|
||||
> = {
|
||||
openai: loadOpenAIChatModels,
|
||||
groq: loadGroqChatModels,
|
||||
ollama: loadOllamaChatModels,
|
||||
groq: loadGroqChatModels,
|
||||
anthropic: loadAnthropicChatModels,
|
||||
gemini: loadGeminiChatModels,
|
||||
};
|
||||
|
||||
const embeddingModelProviders = {
|
||||
openai: loadOpenAIEmbeddingsModels,
|
||||
local: loadTransformersEmbeddingsModels,
|
||||
ollama: loadOllamaEmbeddingsModels,
|
||||
gemini: loadGeminiEmbeddingsModels,
|
||||
export const embeddingModelProviders: Record<
|
||||
string,
|
||||
() => Promise<Record<string, EmbeddingModel>>
|
||||
> = {
|
||||
openai: loadOpenAIEmbeddingModels,
|
||||
ollama: loadOllamaEmbeddingModels,
|
||||
gemini: loadGeminiEmbeddingModels,
|
||||
};
|
||||
|
||||
export const getAvailableChatModelProviders = async () => {
|
||||
const models = {};
|
||||
const models: Record<string, Record<string, ChatModel>> = {};
|
||||
|
||||
for (const provider in chatModelProviders) {
|
||||
const providerModels = await chatModelProviders[provider]();
|
||||
@ -52,7 +68,7 @@ export const getAvailableChatModelProviders = async () => {
|
||||
configuration: {
|
||||
baseURL: customOpenAiApiUrl,
|
||||
},
|
||||
}),
|
||||
}) as unknown as BaseChatModel,
|
||||
},
|
||||
}
|
||||
: {}),
|
||||
@ -62,7 +78,7 @@ export const getAvailableChatModelProviders = async () => {
|
||||
};
|
||||
|
||||
export const getAvailableEmbeddingModelProviders = async () => {
|
||||
const models = {};
|
||||
const models: Record<string, Record<string, EmbeddingModel>> = {};
|
||||
|
||||
for (const provider in embeddingModelProviders) {
|
||||
const providerModels = await embeddingModelProviders[provider]();
|
||||
|
@ -1,74 +1,73 @@
|
||||
import { OllamaEmbeddings } from '@langchain/community/embeddings/ollama';
|
||||
import { getKeepAlive, getOllamaApiEndpoint } from '../../config';
|
||||
import logger from '../../utils/logger';
|
||||
import { ChatOllama } from '@langchain/community/chat_models/ollama';
|
||||
import axios from 'axios';
|
||||
import { getKeepAlive, getOllamaApiEndpoint } from '../config';
|
||||
import { ChatModel, EmbeddingModel } from '.';
|
||||
import { ChatOllama } from '@langchain/community/chat_models/ollama';
|
||||
import { OllamaEmbeddings } from '@langchain/community/embeddings/ollama';
|
||||
|
||||
export const loadOllamaChatModels = async () => {
|
||||
const ollamaEndpoint = getOllamaApiEndpoint();
|
||||
const keepAlive = getKeepAlive();
|
||||
const ollamaApiEndpoint = getOllamaApiEndpoint();
|
||||
|
||||
if (!ollamaEndpoint) return {};
|
||||
if (!ollamaApiEndpoint) return {};
|
||||
|
||||
try {
|
||||
const response = await axios.get(`${ollamaEndpoint}/api/tags`, {
|
||||
const res = await axios.get(`${ollamaApiEndpoint}/api/tags`, {
|
||||
headers: {
|
||||
'Content-Type': 'application/json',
|
||||
},
|
||||
});
|
||||
|
||||
const { models: ollamaModels } = response.data;
|
||||
const { models } = res.data;
|
||||
|
||||
const chatModels = ollamaModels.reduce((acc, model) => {
|
||||
acc[model.model] = {
|
||||
const chatModels: Record<string, ChatModel> = {};
|
||||
|
||||
models.forEach((model: any) => {
|
||||
chatModels[model.model] = {
|
||||
displayName: model.name,
|
||||
model: new ChatOllama({
|
||||
baseUrl: ollamaEndpoint,
|
||||
baseUrl: ollamaApiEndpoint,
|
||||
model: model.model,
|
||||
temperature: 0.7,
|
||||
keepAlive: keepAlive,
|
||||
keepAlive: getKeepAlive(),
|
||||
}),
|
||||
};
|
||||
|
||||
return acc;
|
||||
}, {});
|
||||
});
|
||||
|
||||
return chatModels;
|
||||
} catch (err) {
|
||||
logger.error(`Error loading Ollama models: ${err}`);
|
||||
console.error(`Error loading Ollama models: ${err}`);
|
||||
return {};
|
||||
}
|
||||
};
|
||||
|
||||
export const loadOllamaEmbeddingsModels = async () => {
|
||||
const ollamaEndpoint = getOllamaApiEndpoint();
|
||||
export const loadOllamaEmbeddingModels = async () => {
|
||||
const ollamaApiEndpoint = getOllamaApiEndpoint();
|
||||
|
||||
if (!ollamaEndpoint) return {};
|
||||
if (!ollamaApiEndpoint) return {};
|
||||
|
||||
try {
|
||||
const response = await axios.get(`${ollamaEndpoint}/api/tags`, {
|
||||
const res = await axios.get(`${ollamaApiEndpoint}/api/tags`, {
|
||||
headers: {
|
||||
'Content-Type': 'application/json',
|
||||
},
|
||||
});
|
||||
|
||||
const { models: ollamaModels } = response.data;
|
||||
const { models } = res.data;
|
||||
|
||||
const embeddingsModels = ollamaModels.reduce((acc, model) => {
|
||||
acc[model.model] = {
|
||||
const embeddingModels: Record<string, EmbeddingModel> = {};
|
||||
|
||||
models.forEach((model: any) => {
|
||||
embeddingModels[model.model] = {
|
||||
displayName: model.name,
|
||||
model: new OllamaEmbeddings({
|
||||
baseUrl: ollamaEndpoint,
|
||||
baseUrl: ollamaApiEndpoint,
|
||||
model: model.model,
|
||||
}),
|
||||
};
|
||||
});
|
||||
|
||||
return acc;
|
||||
}, {});
|
||||
|
||||
return embeddingsModels;
|
||||
return embeddingModels;
|
||||
} catch (err) {
|
||||
logger.error(`Error loading Ollama embeddings model: ${err}`);
|
||||
console.error(`Error loading Ollama embeddings models: ${err}`);
|
||||
return {};
|
||||
}
|
||||
};
|
||||
|
@ -1,89 +1,90 @@
|
||||
import { ChatOpenAI, OpenAIEmbeddings } from '@langchain/openai';
|
||||
import { getOpenaiApiKey } from '../../config';
|
||||
import logger from '../../utils/logger';
|
||||
import { getOpenaiApiKey } from '../config';
|
||||
import { ChatModel, EmbeddingModel } from '.';
|
||||
import { BaseChatModel } from '@langchain/core/language_models/chat_models';
|
||||
import { Embeddings } from '@langchain/core/embeddings';
|
||||
|
||||
const openaiChatModels: Record<string, string>[] = [
|
||||
{
|
||||
displayName: 'GPT-3.5 Turbo',
|
||||
key: 'gpt-3.5-turbo',
|
||||
},
|
||||
{
|
||||
displayName: 'GPT-4',
|
||||
key: 'gpt-4',
|
||||
},
|
||||
{
|
||||
displayName: 'GPT-4 turbo',
|
||||
key: 'gpt-4-turbo',
|
||||
},
|
||||
{
|
||||
displayName: 'GPT-4 omni',
|
||||
key: 'gpt-4o',
|
||||
},
|
||||
{
|
||||
displayName: 'GPT-4 omni mini',
|
||||
key: 'gpt-4o-mini',
|
||||
},
|
||||
];
|
||||
|
||||
const openaiEmbeddingModels: Record<string, string>[] = [
|
||||
{
|
||||
displayName: 'Text Embedding 3 Small',
|
||||
key: 'text-embedding-3-small',
|
||||
},
|
||||
{
|
||||
displayName: 'Text Embedding 3 Large',
|
||||
key: 'text-embedding-3-large',
|
||||
},
|
||||
];
|
||||
|
||||
export const loadOpenAIChatModels = async () => {
|
||||
const openAIApiKey = getOpenaiApiKey();
|
||||
const openaiApiKey = getOpenaiApiKey();
|
||||
|
||||
if (!openAIApiKey) return {};
|
||||
if (!openaiApiKey) return {};
|
||||
|
||||
try {
|
||||
const chatModels = {
|
||||
'gpt-3.5-turbo': {
|
||||
displayName: 'GPT-3.5 Turbo',
|
||||
const chatModels: Record<string, ChatModel> = {};
|
||||
|
||||
openaiChatModels.forEach((model) => {
|
||||
chatModels[model.key] = {
|
||||
displayName: model.displayName,
|
||||
model: new ChatOpenAI({
|
||||
openAIApiKey,
|
||||
modelName: 'gpt-3.5-turbo',
|
||||
openAIApiKey: openaiApiKey,
|
||||
modelName: model.key,
|
||||
temperature: 0.7,
|
||||
}),
|
||||
},
|
||||
'gpt-4': {
|
||||
displayName: 'GPT-4',
|
||||
model: new ChatOpenAI({
|
||||
openAIApiKey,
|
||||
modelName: 'gpt-4',
|
||||
temperature: 0.7,
|
||||
}),
|
||||
},
|
||||
'gpt-4-turbo': {
|
||||
displayName: 'GPT-4 turbo',
|
||||
model: new ChatOpenAI({
|
||||
openAIApiKey,
|
||||
modelName: 'gpt-4-turbo',
|
||||
temperature: 0.7,
|
||||
}),
|
||||
},
|
||||
'gpt-4o': {
|
||||
displayName: 'GPT-4 omni',
|
||||
model: new ChatOpenAI({
|
||||
openAIApiKey,
|
||||
modelName: 'gpt-4o',
|
||||
temperature: 0.7,
|
||||
}),
|
||||
},
|
||||
'gpt-4o-mini': {
|
||||
displayName: 'GPT-4 omni mini',
|
||||
model: new ChatOpenAI({
|
||||
openAIApiKey,
|
||||
modelName: 'gpt-4o-mini',
|
||||
temperature: 0.7,
|
||||
}),
|
||||
},
|
||||
};
|
||||
}) as unknown as BaseChatModel,
|
||||
};
|
||||
});
|
||||
|
||||
return chatModels;
|
||||
} catch (err) {
|
||||
logger.error(`Error loading OpenAI models: ${err}`);
|
||||
console.error(`Error loading OpenAI models: ${err}`);
|
||||
return {};
|
||||
}
|
||||
};
|
||||
|
||||
export const loadOpenAIEmbeddingsModels = async () => {
|
||||
const openAIApiKey = getOpenaiApiKey();
|
||||
export const loadOpenAIEmbeddingModels = async () => {
|
||||
const openaiApiKey = getOpenaiApiKey();
|
||||
|
||||
if (!openAIApiKey) return {};
|
||||
if (!openaiApiKey) return {};
|
||||
|
||||
try {
|
||||
const embeddingModels = {
|
||||
'text-embedding-3-small': {
|
||||
displayName: 'Text Embedding 3 Small',
|
||||
const embeddingModels: Record<string, EmbeddingModel> = {};
|
||||
|
||||
openaiEmbeddingModels.forEach((model) => {
|
||||
embeddingModels[model.key] = {
|
||||
displayName: model.displayName,
|
||||
model: new OpenAIEmbeddings({
|
||||
openAIApiKey,
|
||||
modelName: 'text-embedding-3-small',
|
||||
}),
|
||||
},
|
||||
'text-embedding-3-large': {
|
||||
displayName: 'Text Embedding 3 Large',
|
||||
model: new OpenAIEmbeddings({
|
||||
openAIApiKey,
|
||||
modelName: 'text-embedding-3-large',
|
||||
}),
|
||||
},
|
||||
};
|
||||
openAIApiKey: openaiApiKey,
|
||||
modelName: model.key,
|
||||
}) as unknown as Embeddings,
|
||||
};
|
||||
});
|
||||
|
||||
return embeddingModels;
|
||||
} catch (err) {
|
||||
logger.error(`Error loading OpenAI embeddings model: ${err}`);
|
||||
console.error(`Error loading OpenAI embeddings models: ${err}`);
|
||||
return {};
|
||||
}
|
||||
};
|
||||
|
@ -1,32 +0,0 @@
|
||||
import logger from '../../utils/logger';
|
||||
import { HuggingFaceTransformersEmbeddings } from '../huggingfaceTransformer';
|
||||
|
||||
export const loadTransformersEmbeddingsModels = async () => {
|
||||
try {
|
||||
const embeddingModels = {
|
||||
'xenova-bge-small-en-v1.5': {
|
||||
displayName: 'BGE Small',
|
||||
model: new HuggingFaceTransformersEmbeddings({
|
||||
modelName: 'Xenova/bge-small-en-v1.5',
|
||||
}),
|
||||
},
|
||||
'xenova-gte-small': {
|
||||
displayName: 'GTE Small',
|
||||
model: new HuggingFaceTransformersEmbeddings({
|
||||
modelName: 'Xenova/gte-small',
|
||||
}),
|
||||
},
|
||||
'xenova-bert-base-multilingual-uncased': {
|
||||
displayName: 'Bert Multilingual',
|
||||
model: new HuggingFaceTransformersEmbeddings({
|
||||
modelName: 'Xenova/bert-base-multilingual-uncased',
|
||||
}),
|
||||
},
|
||||
};
|
||||
|
||||
return embeddingModels;
|
||||
} catch (err) {
|
||||
logger.error(`Error loading Transformers embeddings model: ${err}`);
|
||||
return {};
|
||||
}
|
||||
};
|
Reference in New Issue
Block a user