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	Turns out the doc is already alphabetized but with dead providers moved to the top, so I didn't have to alphabetize the whole list and manually remove the dead ones.
		
			
				
	
	
		
			1037 lines
		
	
	
		
			36 KiB
		
	
	
	
		
			JavaScript
		
	
	
	
	
	
			
		
		
	
	
			1037 lines
		
	
	
		
			36 KiB
		
	
	
	
		
			JavaScript
		
	
	
	
	
	
import { DOMPurify } from '../lib.js';
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						|
import { isMobile } from './RossAscends-mods.js';
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import { amount_gen, callPopup, eventSource, event_types, getRequestHeaders, max_context, online_status, setGenerationParamsFromPreset } from '../script.js';
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import { textgenerationwebui_settings as textgen_settings, textgen_types } from './textgen-settings.js';
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import { tokenizers } from './tokenizers.js';
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import { renderTemplateAsync } from './templates.js';
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import { POPUP_TYPE, callGenericPopup } from './popup.js';
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import { t } from './i18n.js';
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import { accountStorage } from './util/AccountStorage.js';
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import { localizePagination, PAGINATION_TEMPLATE } from './utils.js';
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let mancerModels = [];
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let togetherModels = [];
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let infermaticAIModels = [];
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let dreamGenModels = [];
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let vllmModels = [];
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let aphroditeModels = [];
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let featherlessModels = [];
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let tabbyModels = [];
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export let openRouterModels = [];
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/**
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 * List of OpenRouter providers.
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 * @type {string[]}
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 */
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const OPENROUTER_PROVIDERS = [
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    'AI21',
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    'AionLabs',
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    'Alibaba',
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    'Amazon Bedrock',
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    'Anthropic',
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    'Atoma',
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    'Avian',
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    'Azure',
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    'Cent-ML',
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    'Cerebras',
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    'Chutes',
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    'Cloudflare',
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    'Cohere',
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    'Crusoe',
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    'DeepInfra',
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    'DeepSeek',
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    'Enfer',
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    'Featherless',
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    'Fireworks',
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    'Friendli',
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    'GMICloud',
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    'Google',
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    'Google AI Studio',
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    'Groq',
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    'Hyperbolic',
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    'Inception',
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    'InferenceNet',
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    'Infermatic',
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    'Inflection',
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    'InoCloud',
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    'Kluster',
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    'Lambda',
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    'Liquid',
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    'Mancer',
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    'Mancer 2',
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    'Minimax',
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    'Mistral',
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    'NCompass',
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    'Nebius',
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    'NextBit',
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    'Nineteen',
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    'Novita',
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    'OpenAI',
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    'OpenInference',
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    'Parasail',
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    'Perplexity',
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    'Phala',
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    'SambaNova',
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    'Stealth',
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    'Targon',
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    'Together',
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    'Ubicloud',
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    'Venice',
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    'xAI',
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];
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export async function loadOllamaModels(data) {
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    if (!Array.isArray(data)) {
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        console.error('Invalid Ollama models data', data);
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        return;
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    }
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    if (!data.find(x => x.id === textgen_settings.ollama_model)) {
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        textgen_settings.ollama_model = data[0]?.id || '';
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    }
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    $('#ollama_model').empty();
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    for (const model of data) {
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        const option = document.createElement('option');
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        option.value = model.id;
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        option.text = model.name;
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        option.selected = model.id === textgen_settings.ollama_model;
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        $('#ollama_model').append(option);
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    }
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}
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export async function loadTabbyModels(data) {
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    if (!Array.isArray(data)) {
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        console.error('Invalid Tabby models data', data);
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        return;
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    }
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    tabbyModels = data;
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    tabbyModels.sort((a, b) => a.id.localeCompare(b.id));
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    tabbyModels.unshift({ id: '' });
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    if (!tabbyModels.find(x => x.id === textgen_settings.tabby_model)) {
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        textgen_settings.tabby_model = tabbyModels[0]?.id || '';
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    }
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    $('#tabby_model').empty();
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    for (const model of tabbyModels) {
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        const option = document.createElement('option');
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        option.value = model.id;
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        option.text = model.id;
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        option.selected = model.id === textgen_settings.tabby_model;
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        $('#tabby_model').append(option);
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    }
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}
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export async function loadTogetherAIModels(data) {
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    if (!Array.isArray(data)) {
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        console.error('Invalid Together AI models data', data);
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        return;
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    }
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    data.sort((a, b) => a.id.localeCompare(b.id));
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    togetherModels = data;
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    if (!data.find(x => x.id === textgen_settings.togetherai_model)) {
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        textgen_settings.togetherai_model = data[0]?.id || '';
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    }
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    $('#model_togetherai_select').empty();
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    for (const model of data) {
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        // Hey buddy, I think you've got the wrong door.
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        if (model.display_type === 'image') {
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            continue;
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        }
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        const option = document.createElement('option');
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        option.value = model.id;
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        option.text = model.display_name;
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        option.selected = model.id === textgen_settings.togetherai_model;
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        $('#model_togetherai_select').append(option);
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    }
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}
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export async function loadInfermaticAIModels(data) {
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    if (!Array.isArray(data)) {
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        console.error('Invalid Infermatic AI models data', data);
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        return;
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    }
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    data.sort((a, b) => a.id.localeCompare(b.id));
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    infermaticAIModels = data;
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    if (!data.find(x => x.id === textgen_settings.infermaticai_model)) {
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        textgen_settings.infermaticai_model = data[0]?.id || '';
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    }
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    $('#model_infermaticai_select').empty();
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    for (const model of data) {
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        if (model.display_type === 'image') {
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            continue;
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        }
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        const option = document.createElement('option');
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        option.value = model.id;
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        option.text = model.id;
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        option.selected = model.id === textgen_settings.infermaticai_model;
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        $('#model_infermaticai_select').append(option);
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    }
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}
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export function loadGenericModels(data) {
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    if (!Array.isArray(data)) {
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        console.error('Invalid Generic models data', data);
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        return;
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    }
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    data.sort((a, b) => a.id.localeCompare(b.id));
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    const dataList = $('#generic_model_fill');
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    dataList.empty();
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    for (const model of data) {
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        const option = document.createElement('option');
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        option.value = model.id;
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        option.text = model.id;
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        dataList.append(option);
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    }
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}
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export async function loadDreamGenModels(data) {
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    if (!Array.isArray(data)) {
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        console.error('Invalid DreamGen models data', data);
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        return;
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    }
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    dreamGenModels = data;
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    if (!data.find(x => x.id === textgen_settings.dreamgen_model)) {
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        textgen_settings.dreamgen_model = data[0]?.id || '';
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    }
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    $('#model_dreamgen_select').empty();
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    for (const model of data) {
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        if (model.display_type === 'image') {
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            continue;
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        }
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        const option = document.createElement('option');
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        option.value = model.id;
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        option.text = model.id;
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        option.selected = model.id === textgen_settings.dreamgen_model;
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        $('#model_dreamgen_select').append(option);
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    }
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}
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export async function loadMancerModels(data) {
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    if (!Array.isArray(data)) {
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        console.error('Invalid Mancer models data', data);
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        return;
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    }
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    data.sort((a, b) => a.name.localeCompare(b.name));
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    mancerModels = data;
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    if (!data.find(x => x.id === textgen_settings.mancer_model)) {
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        textgen_settings.mancer_model = data[0]?.id || '';
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    }
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    $('#mancer_model').empty();
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    for (const model of data) {
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        const option = document.createElement('option');
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        option.value = model.id;
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        option.text = model.name;
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        option.selected = model.id === textgen_settings.mancer_model;
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        $('#mancer_model').append(option);
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    }
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}
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export async function loadOpenRouterModels(data) {
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    if (!Array.isArray(data)) {
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        console.error('Invalid OpenRouter models data', data);
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        return;
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    }
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    data.sort((a, b) => a.name.localeCompare(b.name));
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    openRouterModels = data;
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    if (!data.find(x => x.id === textgen_settings.openrouter_model)) {
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        textgen_settings.openrouter_model = data[0]?.id || '';
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    }
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    $('#openrouter_model').empty();
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    for (const model of data) {
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        const option = document.createElement('option');
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        option.value = model.id;
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        option.text = model.id;
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        option.selected = model.id === textgen_settings.openrouter_model;
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        $('#openrouter_model').append(option);
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    }
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    // Calculate the cost of the selected model + update on settings change
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    calculateOpenRouterCost();
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}
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export async function loadVllmModels(data) {
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    if (!Array.isArray(data)) {
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        console.error('Invalid vLLM models data', data);
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        return;
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    }
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    vllmModels = data;
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    if (!data.find(x => x.id === textgen_settings.vllm_model)) {
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        textgen_settings.vllm_model = data[0]?.id || '';
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    }
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    $('#vllm_model').empty();
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						|
    for (const model of data) {
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        const option = document.createElement('option');
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        option.value = model.id;
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        option.text = model.id;
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        option.selected = model.id === textgen_settings.vllm_model;
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        $('#vllm_model').append(option);
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    }
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}
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export async function loadAphroditeModels(data) {
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    if (!Array.isArray(data)) {
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        console.error('Invalid Aphrodite models data', data);
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        return;
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    }
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    aphroditeModels = data;
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    if (!data.find(x => x.id === textgen_settings.aphrodite_model)) {
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        textgen_settings.aphrodite_model = data[0]?.id || '';
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    }
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    $('#aphrodite_model').empty();
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						|
    for (const model of data) {
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						|
        const option = document.createElement('option');
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						|
        option.value = model.id;
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        option.text = model.id;
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        option.selected = model.id === textgen_settings.aphrodite_model;
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        $('#aphrodite_model').append(option);
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    }
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}
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let featherlessCurrentPage = 1;
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export async function loadFeatherlessModels(data) {
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    const searchBar = document.getElementById('featherless_model_search_bar');
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						|
    const modelCardBlock = document.getElementById('featherless_model_card_block');
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						|
    const paginationContainer = $('#featherless_model_pagination_container');
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						|
    const sortOrderSelect = document.getElementById('featherless_model_sort_order');
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						|
    const classSelect = document.getElementById('featherless_class_selection');
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						|
    const categoriesSelect = document.getElementById('featherless_category_selection');
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						|
    const storageKey = 'FeatherlessModels_PerPage';
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    // Store the original models data for search and filtering
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						|
    let originalModels = [];
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    if (!Array.isArray(data)) {
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        console.error('Invalid Featherless models data', data);
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        return;
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    }
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    originalModels = data;  // Store the original data for search
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    featherlessModels = data;
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						|
    if (!data.find(x => x.id === textgen_settings.featherless_model)) {
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        textgen_settings.featherless_model = data[0]?.id || '';
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						|
    }
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						|
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						|
    // Populate class select options with unique classes
 | 
						|
    populateClassSelection(data);
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						|
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						|
    // Retrieve the stored number of items per page or default to 10
 | 
						|
    const perPage = Number(accountStorage.getItem(storageKey)) || 10;
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						|
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						|
    // Initialize pagination
 | 
						|
    applyFiltersAndSort();
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						|
 | 
						|
    // Function to set up pagination (also used for filtered results)
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						|
    function setupPagination(models, perPage, pageNumber = featherlessCurrentPage) {
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						|
        paginationContainer.pagination({
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						|
            dataSource: models,
 | 
						|
            pageSize: perPage,
 | 
						|
            pageNumber: pageNumber,
 | 
						|
            sizeChangerOptions: [6, 10, 26, 50, 100, 250, 500, 1000],
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						|
            pageRange: 1,
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						|
            showPageNumbers: true,
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						|
            showSizeChanger: false,
 | 
						|
            prevText: '<',
 | 
						|
            nextText: '>',
 | 
						|
            formatNavigator: PAGINATION_TEMPLATE,
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						|
            showNavigator: true,
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						|
            callback: function (modelsOnPage, pagination) {
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						|
                modelCardBlock.innerHTML = '';
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						|
 | 
						|
                modelsOnPage.forEach(model => {
 | 
						|
                    const card = document.createElement('div');
 | 
						|
                    card.classList.add('model-card');
 | 
						|
 | 
						|
                    const modelNameContainer = document.createElement('div');
 | 
						|
                    modelNameContainer.classList.add('model-name-container');
 | 
						|
 | 
						|
                    const modelTitle = document.createElement('div');
 | 
						|
                    modelTitle.classList.add('model-title');
 | 
						|
                    modelTitle.textContent = model.id.replace(/_/g, '_\u200B');
 | 
						|
                    modelNameContainer.appendChild(modelTitle);
 | 
						|
 | 
						|
                    const detailsContainer = document.createElement('div');
 | 
						|
                    detailsContainer.classList.add('details-container');
 | 
						|
 | 
						|
                    const modelClassDiv = document.createElement('div');
 | 
						|
                    modelClassDiv.classList.add('model-class');
 | 
						|
                    modelClassDiv.textContent = t`Class` + `: ${model.model_class || 'N/A'}`;
 | 
						|
 | 
						|
                    const contextLengthDiv = document.createElement('div');
 | 
						|
                    contextLengthDiv.classList.add('model-context-length');
 | 
						|
                    contextLengthDiv.textContent = t`Context Length` + `: ${model.context_length}`;
 | 
						|
 | 
						|
                    const dateAddedDiv = document.createElement('div');
 | 
						|
                    dateAddedDiv.classList.add('model-date-added');
 | 
						|
                    dateAddedDiv.textContent = t`Added On` + `: ${new Date(model.created * 1000).toLocaleDateString()}`;
 | 
						|
 | 
						|
                    detailsContainer.appendChild(modelClassDiv);
 | 
						|
                    detailsContainer.appendChild(contextLengthDiv);
 | 
						|
                    detailsContainer.appendChild(dateAddedDiv);
 | 
						|
 | 
						|
                    card.appendChild(modelNameContainer);
 | 
						|
                    card.appendChild(detailsContainer);
 | 
						|
 | 
						|
                    modelCardBlock.appendChild(card);
 | 
						|
 | 
						|
                    if (model.id === textgen_settings.featherless_model) {
 | 
						|
                        card.classList.add('selected');
 | 
						|
                    }
 | 
						|
 | 
						|
                    card.addEventListener('click', function () {
 | 
						|
                        document.querySelectorAll('.model-card').forEach(c => c.classList.remove('selected'));
 | 
						|
                        card.classList.add('selected');
 | 
						|
                        onFeatherlessModelSelect(model.id);
 | 
						|
                    });
 | 
						|
                });
 | 
						|
 | 
						|
                // Update the current page value whenever the page changes
 | 
						|
                featherlessCurrentPage = pagination.pageNumber;
 | 
						|
                localizePagination(paginationContainer);
 | 
						|
            },
 | 
						|
            afterSizeSelectorChange: function (e) {
 | 
						|
                const newPerPage = e.target.value;
 | 
						|
                accountStorage.setItem(storageKey, newPerPage);
 | 
						|
                setupPagination(models, Number(newPerPage), featherlessCurrentPage); // Use the stored current page number
 | 
						|
            },
 | 
						|
        });
 | 
						|
    }
 | 
						|
 | 
						|
    // Unset previously added listeners
 | 
						|
    $(searchBar).off('input');
 | 
						|
    $(sortOrderSelect).off('change');
 | 
						|
    $(classSelect).off('change');
 | 
						|
    $(categoriesSelect).off('change');
 | 
						|
 | 
						|
    // Add event listener for input on the search bar
 | 
						|
    searchBar.addEventListener('input', function () {
 | 
						|
        applyFiltersAndSort();
 | 
						|
    });
 | 
						|
 | 
						|
    // Add event listener for the sort order select
 | 
						|
    sortOrderSelect.addEventListener('change', function () {
 | 
						|
        applyFiltersAndSort();
 | 
						|
    });
 | 
						|
 | 
						|
    // Add event listener for the class select
 | 
						|
    classSelect.addEventListener('change', function () {
 | 
						|
        applyFiltersAndSort();
 | 
						|
    });
 | 
						|
 | 
						|
    categoriesSelect.addEventListener('change', function () {
 | 
						|
        applyFiltersAndSort();
 | 
						|
    });
 | 
						|
 | 
						|
    // Function to populate class selection dropdown
 | 
						|
    function populateClassSelection(models) {
 | 
						|
        const uniqueClasses = [...new Set(models.map(model => model.model_class).filter(Boolean))];  // Get unique class names
 | 
						|
        uniqueClasses.sort((a, b) => a.localeCompare(b));
 | 
						|
        uniqueClasses.forEach(className => {
 | 
						|
            const option = document.createElement('option');
 | 
						|
            option.value = className;
 | 
						|
            option.textContent = className;
 | 
						|
            classSelect.appendChild(option);
 | 
						|
        });
 | 
						|
    }
 | 
						|
 | 
						|
    // Function to apply sorting and filtering based on user input
 | 
						|
    async function applyFiltersAndSort() {
 | 
						|
        if (!(searchBar instanceof HTMLInputElement) ||
 | 
						|
            !(sortOrderSelect instanceof HTMLSelectElement) ||
 | 
						|
            !(classSelect instanceof HTMLSelectElement) ||
 | 
						|
            !(categoriesSelect instanceof HTMLSelectElement)) {
 | 
						|
            return;
 | 
						|
        }
 | 
						|
        const searchQuery = searchBar.value.toLowerCase();
 | 
						|
        const selectedSortOrder = sortOrderSelect.value;
 | 
						|
        const selectedClass = classSelect.value;
 | 
						|
        const selectedCategory = categoriesSelect.value;
 | 
						|
        let featherlessTop = [];
 | 
						|
        let featherlessNew = [];
 | 
						|
 | 
						|
        if (selectedCategory === 'Top') {
 | 
						|
            featherlessTop = await fetchFeatherlessStats();
 | 
						|
        }
 | 
						|
        const featherlessIds = featherlessTop.map(stat => stat.id);
 | 
						|
 | 
						|
        if (selectedCategory === 'New') {
 | 
						|
            featherlessNew = await fetchFeatherlessNew();
 | 
						|
        }
 | 
						|
        const featherlessNewIds = featherlessNew.map(stat => stat.id);
 | 
						|
 | 
						|
        let filteredModels = originalModels.filter(model => {
 | 
						|
            const matchesSearch = model.id.toLowerCase().includes(searchQuery);
 | 
						|
            const matchesClass = selectedClass ? model.model_class === selectedClass : true;
 | 
						|
            const matchesTop = featherlessIds.includes(model.id);
 | 
						|
            const matchesNew = featherlessNewIds.includes(model.id);
 | 
						|
 | 
						|
            if (selectedCategory === 'All') {
 | 
						|
                return matchesSearch && matchesClass;
 | 
						|
            }
 | 
						|
            else if (selectedCategory === 'Top') {
 | 
						|
                return matchesSearch && matchesClass && matchesTop;
 | 
						|
            }
 | 
						|
            else if (selectedCategory === 'New') {
 | 
						|
                return matchesSearch && matchesClass && matchesNew;
 | 
						|
            }
 | 
						|
            else {
 | 
						|
                return matchesSearch && matchesClass;
 | 
						|
            }
 | 
						|
        });
 | 
						|
 | 
						|
        if (selectedSortOrder === 'asc') {
 | 
						|
            filteredModels.sort((a, b) => a.id.localeCompare(b.id));
 | 
						|
        } else if (selectedSortOrder === 'desc') {
 | 
						|
            filteredModels.sort((a, b) => b.id.localeCompare(a.id));
 | 
						|
        } else if (selectedSortOrder === 'date_asc') {
 | 
						|
            filteredModels.sort((a, b) => a.created - b.created);
 | 
						|
        } else if (selectedSortOrder === 'date_desc') {
 | 
						|
            filteredModels.sort((a, b) => b.created - a.created);
 | 
						|
        }
 | 
						|
 | 
						|
        const currentModelIndex = filteredModels.findIndex(x => x.id === textgen_settings.featherless_model);
 | 
						|
        featherlessCurrentPage = currentModelIndex >= 0 ? (currentModelIndex / perPage) + 1 : 1;
 | 
						|
 | 
						|
        setupPagination(filteredModels, Number(accountStorage.getItem(storageKey)) || perPage, featherlessCurrentPage);
 | 
						|
    }
 | 
						|
 | 
						|
    // Required to keep the /model command function
 | 
						|
    $('#featherless_model').empty();
 | 
						|
    for (const model of data) {
 | 
						|
        const option = document.createElement('option');
 | 
						|
        option.value = model.id;
 | 
						|
        option.text = model.id;
 | 
						|
        option.selected = model.id === textgen_settings.featherless_model;
 | 
						|
        $('#featherless_model').append(option);
 | 
						|
    }
 | 
						|
}
 | 
						|
 | 
						|
async function fetchFeatherlessStats() {
 | 
						|
    const response = await fetch('https://api.featherless.ai/feather/popular');
 | 
						|
    const data = await response.json();
 | 
						|
    return data.popular;
 | 
						|
}
 | 
						|
 | 
						|
async function fetchFeatherlessNew() {
 | 
						|
    const response = await fetch('https://api.featherless.ai/feather/models?sort=-created_at&perPage=20');
 | 
						|
    const data = await response.json();
 | 
						|
    return data.items;
 | 
						|
}
 | 
						|
 | 
						|
function onFeatherlessModelSelect(modelId) {
 | 
						|
    const model = featherlessModels.find(x => x.id === modelId);
 | 
						|
    textgen_settings.featherless_model = modelId;
 | 
						|
    $('#featherless_model').val(modelId);
 | 
						|
    $('#api_button_textgenerationwebui').trigger('click');
 | 
						|
    setGenerationParamsFromPreset({ max_length: model.context_length });
 | 
						|
}
 | 
						|
 | 
						|
let featherlessIsGridView = false;  // Default state set to grid view
 | 
						|
 | 
						|
// Ensure the correct initial view is applied when the page loads
 | 
						|
document.addEventListener('DOMContentLoaded', function () {
 | 
						|
    const modelCardBlock = document.getElementById('featherless_model_card_block');
 | 
						|
    modelCardBlock.classList.add('list-view');
 | 
						|
 | 
						|
    const toggleButton = document.getElementById('featherless_model_grid_toggle');
 | 
						|
    toggleButton.addEventListener('click', function () {
 | 
						|
        // Toggle between grid and list view
 | 
						|
        if (featherlessIsGridView) {
 | 
						|
            modelCardBlock.classList.remove('grid-view');
 | 
						|
            modelCardBlock.classList.add('list-view');
 | 
						|
            this.title = 'Toggle to grid view';
 | 
						|
        } else {
 | 
						|
            modelCardBlock.classList.remove('list-view');
 | 
						|
            modelCardBlock.classList.add('grid-view');
 | 
						|
            this.title = 'Toggle to list view';
 | 
						|
        }
 | 
						|
 | 
						|
        featherlessIsGridView = !featherlessIsGridView;
 | 
						|
    });
 | 
						|
});
 | 
						|
function onMancerModelSelect() {
 | 
						|
    const modelId = String($('#mancer_model').val());
 | 
						|
    textgen_settings.mancer_model = modelId;
 | 
						|
    $('#api_button_textgenerationwebui').trigger('click');
 | 
						|
 | 
						|
    const limits = mancerModels.find(x => x.id === modelId)?.limits;
 | 
						|
    setGenerationParamsFromPreset({ max_length: limits.context });
 | 
						|
}
 | 
						|
 | 
						|
function onTogetherModelSelect() {
 | 
						|
    const modelName = String($('#model_togetherai_select').val());
 | 
						|
    textgen_settings.togetherai_model = modelName;
 | 
						|
    $('#api_button_textgenerationwebui').trigger('click');
 | 
						|
    const model = togetherModels.find(x => x.id === modelName);
 | 
						|
    setGenerationParamsFromPreset({ max_length: model.context_length });
 | 
						|
}
 | 
						|
 | 
						|
function onInfermaticAIModelSelect() {
 | 
						|
    const modelName = String($('#model_infermaticai_select').val());
 | 
						|
    textgen_settings.infermaticai_model = modelName;
 | 
						|
    $('#api_button_textgenerationwebui').trigger('click');
 | 
						|
    const model = infermaticAIModels.find(x => x.id === modelName);
 | 
						|
    setGenerationParamsFromPreset({ max_length: model.context_length });
 | 
						|
}
 | 
						|
 | 
						|
function onDreamGenModelSelect() {
 | 
						|
    const modelName = String($('#model_dreamgen_select').val());
 | 
						|
    textgen_settings.dreamgen_model = modelName;
 | 
						|
    $('#api_button_textgenerationwebui').trigger('click');
 | 
						|
    // TODO(DreamGen): Consider retuning max_tokens from API and setting it here.
 | 
						|
}
 | 
						|
 | 
						|
function onOllamaModelSelect() {
 | 
						|
    const modelId = String($('#ollama_model').val());
 | 
						|
    textgen_settings.ollama_model = modelId;
 | 
						|
    $('#api_button_textgenerationwebui').trigger('click');
 | 
						|
}
 | 
						|
 | 
						|
function onTabbyModelSelect() {
 | 
						|
    const modelId = String($('#tabby_model').val());
 | 
						|
    textgen_settings.tabby_model = modelId;
 | 
						|
    $('#api_button_textgenerationwebui').trigger('click');
 | 
						|
}
 | 
						|
 | 
						|
function onOpenRouterModelSelect() {
 | 
						|
    const modelId = String($('#openrouter_model').val());
 | 
						|
    textgen_settings.openrouter_model = modelId;
 | 
						|
    $('#api_button_textgenerationwebui').trigger('click');
 | 
						|
    const model = openRouterModels.find(x => x.id === modelId);
 | 
						|
    setGenerationParamsFromPreset({ max_length: model.context_length });
 | 
						|
}
 | 
						|
 | 
						|
function onVllmModelSelect() {
 | 
						|
    const modelId = String($('#vllm_model').val());
 | 
						|
    textgen_settings.vllm_model = modelId;
 | 
						|
    $('#api_button_textgenerationwebui').trigger('click');
 | 
						|
}
 | 
						|
 | 
						|
function onAphroditeModelSelect() {
 | 
						|
    const modelId = String($('#aphrodite_model').val());
 | 
						|
    textgen_settings.aphrodite_model = modelId;
 | 
						|
    $('#api_button_textgenerationwebui').trigger('click');
 | 
						|
}
 | 
						|
 | 
						|
function getMancerModelTemplate(option) {
 | 
						|
    const model = mancerModels.find(x => x.id === option?.element?.value);
 | 
						|
 | 
						|
    if (!option.id || !model) {
 | 
						|
        return option.text;
 | 
						|
    }
 | 
						|
 | 
						|
    const creditsPerPrompt = (model.limits?.context - model.limits?.completion) * model.pricing?.prompt;
 | 
						|
    const creditsPerCompletion = model.limits?.completion * model.pricing?.completion;
 | 
						|
    const creditsTotal = Math.round(creditsPerPrompt + creditsPerCompletion).toFixed(0);
 | 
						|
 | 
						|
    return $((`
 | 
						|
        <div class="flex-container flexFlowColumn">
 | 
						|
            <div><strong>${DOMPurify.sanitize(model.name)}</strong> | <span>${model.limits?.context} ctx</span> / <span>${model.limits?.completion} res</span> | <small>Credits per request (max): ${creditsTotal}</small></div>
 | 
						|
        </div>
 | 
						|
    `));
 | 
						|
}
 | 
						|
 | 
						|
function getTogetherModelTemplate(option) {
 | 
						|
    const model = togetherModels.find(x => x.id === option?.element?.value);
 | 
						|
 | 
						|
    if (!option.id || !model) {
 | 
						|
        return option.text;
 | 
						|
    }
 | 
						|
 | 
						|
    return $((`
 | 
						|
        <div class="flex-container flexFlowColumn">
 | 
						|
            <div><strong>${DOMPurify.sanitize(model.id)}</strong> | <span>${model.context_length || '???'} tokens</span></div>
 | 
						|
            <div><small>${DOMPurify.sanitize(model.description)}</small></div>
 | 
						|
        </div>
 | 
						|
    `));
 | 
						|
}
 | 
						|
 | 
						|
function getInfermaticAIModelTemplate(option) {
 | 
						|
    const model = infermaticAIModels.find(x => x.id === option?.element?.value);
 | 
						|
 | 
						|
    if (!option.id || !model) {
 | 
						|
        return option.text;
 | 
						|
    }
 | 
						|
 | 
						|
    return $((`
 | 
						|
        <div class="flex-container flexFlowColumn">
 | 
						|
            <div><strong>${DOMPurify.sanitize(model.id)}</strong></div>
 | 
						|
        </div>
 | 
						|
    `));
 | 
						|
}
 | 
						|
 | 
						|
function getDreamGenModelTemplate(option) {
 | 
						|
    const model = dreamGenModels.find(x => x.id === option?.element?.value);
 | 
						|
 | 
						|
    if (!option.id || !model) {
 | 
						|
        return option.text;
 | 
						|
    }
 | 
						|
 | 
						|
    return $((`
 | 
						|
        <div class="flex-container flexFlowColumn">
 | 
						|
            <div><strong>${DOMPurify.sanitize(model.id)}</strong></div>
 | 
						|
        </div>
 | 
						|
    `));
 | 
						|
}
 | 
						|
 | 
						|
function getOpenRouterModelTemplate(option) {
 | 
						|
    const model = openRouterModels.find(x => x.id === option?.element?.value);
 | 
						|
 | 
						|
    if (!option.id || !model) {
 | 
						|
        return option.text;
 | 
						|
    }
 | 
						|
 | 
						|
    let tokens_dollar = Number(1 / (1000 * model.pricing?.prompt));
 | 
						|
    let tokens_rounded = (Math.round(tokens_dollar * 1000) / 1000).toFixed(0);
 | 
						|
 | 
						|
    const price = 0 === Number(model.pricing?.prompt) ? 'Free' : `${tokens_rounded}k t/$ `;
 | 
						|
 | 
						|
    return $((`
 | 
						|
        <div class="flex-container flexFlowColumn" title="${DOMPurify.sanitize(model.id)}">
 | 
						|
            <div><strong>${DOMPurify.sanitize(model.name)}</strong> | ${model.context_length} ctx | <small>${price}</small></div>
 | 
						|
        </div>
 | 
						|
    `));
 | 
						|
}
 | 
						|
 | 
						|
function getVllmModelTemplate(option) {
 | 
						|
    const model = vllmModels.find(x => x.id === option?.element?.value);
 | 
						|
 | 
						|
    if (!option.id || !model) {
 | 
						|
        return option.text;
 | 
						|
    }
 | 
						|
 | 
						|
    return $((`
 | 
						|
        <div class="flex-container flexFlowColumn">
 | 
						|
            <div><strong>${DOMPurify.sanitize(model.id)}</strong></div>
 | 
						|
        </div>
 | 
						|
    `));
 | 
						|
}
 | 
						|
 | 
						|
function getAphroditeModelTemplate(option) {
 | 
						|
    const model = aphroditeModels.find(x => x.id === option?.element?.value);
 | 
						|
 | 
						|
    if (!option.id || !model) {
 | 
						|
        return option.text;
 | 
						|
    }
 | 
						|
 | 
						|
    return $((`
 | 
						|
        <div class="flex-container flexFlowColumn">
 | 
						|
            <div><strong>${DOMPurify.sanitize(model.id)}</strong></div>
 | 
						|
        </div>
 | 
						|
    `));
 | 
						|
}
 | 
						|
 | 
						|
async function downloadOllamaModel() {
 | 
						|
    try {
 | 
						|
        const serverUrl = textgen_settings.server_urls[textgen_types.OLLAMA];
 | 
						|
 | 
						|
        if (!serverUrl) {
 | 
						|
            toastr.info('Please connect to an Ollama server first.');
 | 
						|
            return;
 | 
						|
        }
 | 
						|
 | 
						|
        const html = `Enter a model tag, for example <code>llama2:latest</code>.<br>
 | 
						|
        See <a target="_blank" href="https://ollama.ai/library">Library</a> for available models.`;
 | 
						|
        const name = await callPopup(html, 'input', '', { okButton: 'Download' });
 | 
						|
 | 
						|
        if (!name) {
 | 
						|
            return;
 | 
						|
        }
 | 
						|
 | 
						|
        toastr.info('Download may take a while, please wait...', 'Working on it');
 | 
						|
 | 
						|
        const response = await fetch('/api/backends/text-completions/ollama/download', {
 | 
						|
            method: 'POST',
 | 
						|
            headers: getRequestHeaders(),
 | 
						|
            body: JSON.stringify({
 | 
						|
                name: name,
 | 
						|
                api_server: serverUrl,
 | 
						|
            }),
 | 
						|
        });
 | 
						|
 | 
						|
        if (!response.ok) {
 | 
						|
            throw new Error(response.statusText);
 | 
						|
        }
 | 
						|
 | 
						|
        // Force refresh the model list
 | 
						|
        toastr.success('Download complete. Please select the model from the dropdown.');
 | 
						|
        $('#api_button_textgenerationwebui').trigger('click');
 | 
						|
    } catch (err) {
 | 
						|
        console.error(err);
 | 
						|
        toastr.error('Failed to download Ollama model. Please try again.');
 | 
						|
    }
 | 
						|
}
 | 
						|
 | 
						|
async function downloadTabbyModel() {
 | 
						|
    try {
 | 
						|
        const serverUrl = textgen_settings.server_urls[textgen_types.TABBY];
 | 
						|
 | 
						|
        if (online_status === 'no_connection' || !serverUrl) {
 | 
						|
            toastr.info('Please connect to a TabbyAPI server first.');
 | 
						|
            return;
 | 
						|
        }
 | 
						|
 | 
						|
        const downloadHtml = $(await renderTemplateAsync('tabbyDownloader'));
 | 
						|
        const popupResult = await callGenericPopup(downloadHtml, POPUP_TYPE.CONFIRM, '', { okButton: 'Download', cancelButton: 'Cancel' });
 | 
						|
 | 
						|
        // User cancelled the download
 | 
						|
        if (!popupResult) {
 | 
						|
            return;
 | 
						|
        }
 | 
						|
 | 
						|
        const repoId = downloadHtml.find('input[name="hf_repo_id"]').val().toString();
 | 
						|
        if (!repoId) {
 | 
						|
            toastr.error('A HuggingFace repo ID must be provided. Skipping Download.');
 | 
						|
            return;
 | 
						|
        }
 | 
						|
 | 
						|
        if (repoId.split('/').length !== 2) {
 | 
						|
            toastr.error('A HuggingFace repo ID must be formatted as Author/Name. Please try again.');
 | 
						|
            return;
 | 
						|
        }
 | 
						|
 | 
						|
        const params = {
 | 
						|
            repo_id: repoId,
 | 
						|
            folder_name: downloadHtml.find('input[name="folder_name"]').val() || undefined,
 | 
						|
            revision: downloadHtml.find('input[name="revision"]').val() || undefined,
 | 
						|
            token: downloadHtml.find('input[name="hf_token"]').val() || undefined,
 | 
						|
        };
 | 
						|
 | 
						|
        for (const suffix of ['include', 'exclude']) {
 | 
						|
            const patterns = downloadHtml.find(`textarea[name="tabby_download_${suffix}"]`).val().toString();
 | 
						|
            if (patterns) {
 | 
						|
                params[suffix] = patterns.split('\n');
 | 
						|
            }
 | 
						|
        }
 | 
						|
 | 
						|
        // Params for the server side of ST
 | 
						|
        params['api_server'] = serverUrl;
 | 
						|
        params['api_type'] = textgen_settings.type;
 | 
						|
 | 
						|
        toastr.info('Downloading. Check the Tabby console for progress reports.');
 | 
						|
 | 
						|
        const response = await fetch('/api/backends/text-completions/tabby/download', {
 | 
						|
            method: 'POST',
 | 
						|
            headers: getRequestHeaders(),
 | 
						|
            body: JSON.stringify(params),
 | 
						|
        });
 | 
						|
 | 
						|
        if (response.status === 403) {
 | 
						|
            toastr.error('The provided key has invalid permissions. Please use an admin key for downloading.');
 | 
						|
            return;
 | 
						|
        } else if (!response.ok) {
 | 
						|
            throw new Error(response.statusText);
 | 
						|
        }
 | 
						|
 | 
						|
        toastr.success('Download complete.');
 | 
						|
    } catch (err) {
 | 
						|
        console.error(err);
 | 
						|
        toastr.error('Failed to download HuggingFace model in TabbyAPI. Please try again.');
 | 
						|
    }
 | 
						|
}
 | 
						|
 | 
						|
function calculateOpenRouterCost() {
 | 
						|
    if (textgen_settings.type !== textgen_types.OPENROUTER) {
 | 
						|
        return;
 | 
						|
    }
 | 
						|
 | 
						|
    let cost = 'Unknown';
 | 
						|
    const model = openRouterModels.find(x => x.id === textgen_settings.openrouter_model);
 | 
						|
 | 
						|
    if (model?.pricing) {
 | 
						|
        const completionCost = Number(model.pricing.completion);
 | 
						|
        const promptCost = Number(model.pricing.prompt);
 | 
						|
        const completionTokens = amount_gen;
 | 
						|
        const promptTokens = (max_context - completionTokens);
 | 
						|
        const totalCost = (completionCost * completionTokens) + (promptCost * promptTokens);
 | 
						|
        if (!isNaN(totalCost)) {
 | 
						|
            cost = '$' + totalCost.toFixed(3);
 | 
						|
        }
 | 
						|
    }
 | 
						|
 | 
						|
    $('#or_prompt_cost').text(cost);
 | 
						|
 | 
						|
    // Schedule an update when settings change
 | 
						|
    eventSource.removeListener(event_types.SETTINGS_UPDATED, calculateOpenRouterCost);
 | 
						|
    eventSource.once(event_types.SETTINGS_UPDATED, calculateOpenRouterCost);
 | 
						|
}
 | 
						|
 | 
						|
export function getCurrentOpenRouterModelTokenizer() {
 | 
						|
    const modelId = textgen_settings.openrouter_model;
 | 
						|
    const model = openRouterModels.find(x => x.id === modelId);
 | 
						|
    if (modelId?.includes('jamba')) {
 | 
						|
        return tokenizers.JAMBA;
 | 
						|
    }
 | 
						|
    switch (model?.architecture?.tokenizer) {
 | 
						|
        case 'Llama2':
 | 
						|
            return tokenizers.LLAMA;
 | 
						|
        case 'Llama3':
 | 
						|
            return tokenizers.LLAMA3;
 | 
						|
        case 'Yi':
 | 
						|
            return tokenizers.YI;
 | 
						|
        case 'Mistral':
 | 
						|
            return tokenizers.MISTRAL;
 | 
						|
        case 'Gemini':
 | 
						|
            return tokenizers.GEMMA;
 | 
						|
        case 'Claude':
 | 
						|
            return tokenizers.CLAUDE;
 | 
						|
        case 'Cohere':
 | 
						|
            return tokenizers.COMMAND_R;
 | 
						|
        case 'Qwen':
 | 
						|
            return tokenizers.QWEN2;
 | 
						|
        default:
 | 
						|
            return tokenizers.OPENAI;
 | 
						|
    }
 | 
						|
}
 | 
						|
 | 
						|
export function getCurrentDreamGenModelTokenizer() {
 | 
						|
    const modelId = textgen_settings.dreamgen_model;
 | 
						|
    const model = dreamGenModels.find(x => x.id === modelId);
 | 
						|
    if (model.id.startsWith('opus-v1-sm')) {
 | 
						|
        return tokenizers.MISTRAL;
 | 
						|
    } else if (model.id.startsWith('opus-v1-lg')) {
 | 
						|
        return tokenizers.YI;
 | 
						|
    } else if (model.id.startsWith('opus-v1-xl')) {
 | 
						|
        return tokenizers.LLAMA;
 | 
						|
    } else if (model.id.startsWith('lucid-v1-medium')) {
 | 
						|
        return tokenizers.NEMO;
 | 
						|
    } else if (model.id.startsWith('lucid-v1-extra-large')) {
 | 
						|
        return tokenizers.LLAMA3;
 | 
						|
    } else {
 | 
						|
        return tokenizers.MISTRAL;
 | 
						|
    }
 | 
						|
}
 | 
						|
 | 
						|
export function initTextGenModels() {
 | 
						|
    $('#mancer_model').on('change', onMancerModelSelect);
 | 
						|
    $('#model_togetherai_select').on('change', onTogetherModelSelect);
 | 
						|
    $('#model_infermaticai_select').on('change', onInfermaticAIModelSelect);
 | 
						|
    $('#model_dreamgen_select').on('change', onDreamGenModelSelect);
 | 
						|
    $('#ollama_model').on('change', onOllamaModelSelect);
 | 
						|
    $('#openrouter_model').on('change', onOpenRouterModelSelect);
 | 
						|
    $('#ollama_download_model').on('click', downloadOllamaModel);
 | 
						|
    $('#vllm_model').on('change', onVllmModelSelect);
 | 
						|
    $('#aphrodite_model').on('change', onAphroditeModelSelect);
 | 
						|
    $('#tabby_download_model').on('click', downloadTabbyModel);
 | 
						|
    $('#tabby_model').on('change', onTabbyModelSelect);
 | 
						|
    $('#featherless_model').on('change', () => onFeatherlessModelSelect(String($('#featherless_model').val())));
 | 
						|
 | 
						|
    const providersSelect = $('.openrouter_providers');
 | 
						|
    for (const provider of OPENROUTER_PROVIDERS) {
 | 
						|
        providersSelect.append($('<option>', {
 | 
						|
            value: provider,
 | 
						|
            text: provider,
 | 
						|
        }));
 | 
						|
    }
 | 
						|
 | 
						|
    if (!isMobile()) {
 | 
						|
        $('#mancer_model').select2({
 | 
						|
            placeholder: t`Select a model`,
 | 
						|
            searchInputPlaceholder: t`Search models...`,
 | 
						|
            searchInputCssClass: 'text_pole',
 | 
						|
            width: '100%',
 | 
						|
            templateResult: getMancerModelTemplate,
 | 
						|
        });
 | 
						|
        $('#model_togetherai_select').select2({
 | 
						|
            placeholder: t`Select a model`,
 | 
						|
            searchInputPlaceholder: t`Search models...`,
 | 
						|
            searchInputCssClass: 'text_pole',
 | 
						|
            width: '100%',
 | 
						|
            templateResult: getTogetherModelTemplate,
 | 
						|
        });
 | 
						|
        $('#ollama_model').select2({
 | 
						|
            placeholder: t`Select a model`,
 | 
						|
            searchInputPlaceholder: t`Search models...`,
 | 
						|
            searchInputCssClass: 'text_pole',
 | 
						|
            width: '100%',
 | 
						|
        });
 | 
						|
        $('#tabby_model').select2({
 | 
						|
            placeholder: t`[Currently loaded]`,
 | 
						|
            searchInputPlaceholder: t`Search models...`,
 | 
						|
            searchInputCssClass: 'text_pole',
 | 
						|
            width: '100%',
 | 
						|
            allowClear: true,
 | 
						|
        });
 | 
						|
        $('#model_infermaticai_select').select2({
 | 
						|
            placeholder: t`Select a model`,
 | 
						|
            searchInputPlaceholder: t`Search models...`,
 | 
						|
            searchInputCssClass: 'text_pole',
 | 
						|
            width: '100%',
 | 
						|
            templateResult: getInfermaticAIModelTemplate,
 | 
						|
        });
 | 
						|
        $('#model_dreamgen_select').select2({
 | 
						|
            placeholder: t`Select a model`,
 | 
						|
            searchInputPlaceholder: t`Search models...`,
 | 
						|
            searchInputCssClass: 'text_pole',
 | 
						|
            width: '100%',
 | 
						|
            templateResult: getDreamGenModelTemplate,
 | 
						|
        });
 | 
						|
        $('#openrouter_model').select2({
 | 
						|
            placeholder: t`Select a model`,
 | 
						|
            searchInputPlaceholder: t`Search models...`,
 | 
						|
            searchInputCssClass: 'text_pole',
 | 
						|
            width: '100%',
 | 
						|
            templateResult: getOpenRouterModelTemplate,
 | 
						|
        });
 | 
						|
        $('#vllm_model').select2({
 | 
						|
            placeholder: t`Select a model`,
 | 
						|
            searchInputPlaceholder: t`Search models...`,
 | 
						|
            searchInputCssClass: 'text_pole',
 | 
						|
            width: '100%',
 | 
						|
            templateResult: getVllmModelTemplate,
 | 
						|
        });
 | 
						|
        $('#aphrodite_model').select2({
 | 
						|
            placeholder: t`Select a model`,
 | 
						|
            searchInputPlaceholder: t`Search models...`,
 | 
						|
            searchInputCssClass: 'text_pole',
 | 
						|
            width: '100%',
 | 
						|
            templateResult: getAphroditeModelTemplate,
 | 
						|
        });
 | 
						|
        providersSelect.select2({
 | 
						|
            sorter: data => data.sort((a, b) => a.text.localeCompare(b.text)),
 | 
						|
            placeholder: t`Select providers. No selection = all providers.`,
 | 
						|
            searchInputPlaceholder: t`Search providers...`,
 | 
						|
            searchInputCssClass: 'text_pole',
 | 
						|
            width: '100%',
 | 
						|
            closeOnSelect: false,
 | 
						|
        });
 | 
						|
        providersSelect.on('select2:select', function (/** @type {any} */ evt) {
 | 
						|
            const element = evt.params.data.element;
 | 
						|
            const $element = $(element);
 | 
						|
 | 
						|
            $element.detach();
 | 
						|
            $(this).append($element);
 | 
						|
            $(this).trigger('change');
 | 
						|
        });
 | 
						|
    }
 | 
						|
}
 |