mirror of
https://github.com/SillyTavern/SillyTavern.git
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203 lines
6.8 KiB
JavaScript
203 lines
6.8 KiB
JavaScript
import { callPopup, getRequestHeaders, setGenerationParamsFromPreset } from '../script.js';
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import { isMobile } from './RossAscends-mods.js';
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import { textgenerationwebui_settings as textgen_settings, textgen_types } from './textgen-settings.js';
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let mancerModels = [];
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let togetherModels = [];
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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 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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togetherModels = data;
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if (!data.find(x => x.name === textgen_settings.togetherai_model)) {
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textgen_settings.togetherai_model = data[0]?.name || '';
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}
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$('#model_togetherai_select').empty();
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for (const model of data) {
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// Hey buddy, I think you've got the wrong door.
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if (model.display_type === 'image') {
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continue;
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}
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const option = document.createElement('option');
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option.value = model.name;
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option.text = model.display_name;
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option.selected = model.name === textgen_settings.togetherai_model;
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$('#model_togetherai_select').append(option);
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}
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}
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export async function 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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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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function onMancerModelSelect() {
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const modelId = String($('#mancer_model').val());
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textgen_settings.mancer_model = modelId;
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$('#api_button_textgenerationwebui').trigger('click');
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const limits = mancerModels.find(x => x.id === modelId)?.limits;
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setGenerationParamsFromPreset({ max_length: limits.context, genamt: limits.completion });
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}
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function onTogetherModelSelect() {
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const modelName = String($('#model_togetherai_select').val());
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textgen_settings.togetherai_model = modelName;
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$('#api_button_textgenerationwebui').trigger('click');
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const model = togetherModels.find(x => x.name === modelName);
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setGenerationParamsFromPreset({ max_length: model.context_length });
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}
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function onOllamaModelSelect() {
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const modelId = String($('#ollama_model').val());
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textgen_settings.ollama_model = modelId;
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$('#api_button_textgenerationwebui').trigger('click');
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}
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function getMancerModelTemplate(option) {
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const model = mancerModels.find(x => x.id === option?.element?.value);
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if (!option.id || !model) {
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return option.text;
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}
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const creditsPerPrompt = (model.limits?.context - model.limits?.completion) * model.pricing?.prompt;
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const creditsPerCompletion = model.limits?.completion * model.pricing?.completion;
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const creditsTotal = Math.round(creditsPerPrompt + creditsPerCompletion).toFixed(0);
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return $((`
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<div class="flex-container flexFlowColumn">
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<div><strong>${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>
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</div>
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`));
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}
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function getTogetherModelTemplate(option) {
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const model = togetherModels.find(x => x.name === option?.element?.value);
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if (!option.id || !model) {
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return option.text;
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}
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return $((`
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<div class="flex-container flexFlowColumn">
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<div><strong>${DOMPurify.sanitize(model.name)}</strong> | <span>${model.context_length || '???'} tokens</span></div>
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<div><small>${DOMPurify.sanitize(model.description)}</small></div>
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</div>
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`));
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}
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async function downloadOllamaModel() {
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try {
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const serverUrl = textgen_settings.server_urls[textgen_types.OLLAMA];
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if (!serverUrl) {
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toastr.info('Please connect to an Ollama server first.');
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return;
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}
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const html = `Enter a model tag, for example <code>llama2:latest</code>.<br>
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See <a target="_blank" href="https://ollama.ai/library">Library</a> for available models.`;
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const name = await callPopup(html, 'input', '', { okButton: 'Download' });
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if (!name) {
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return;
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}
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toastr.info('Download may take a while, please wait...', 'Working on it');
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const response = await fetch('/api/backends/text-completions/ollama/download', {
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method: 'POST',
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headers: getRequestHeaders(),
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body: JSON.stringify({
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name: name,
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api_server: serverUrl,
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}),
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});
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if (!response.ok) {
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throw new Error(response.statusText);
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}
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// Force refresh the model list
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toastr.success('Download complete. Please select the model from the dropdown.');
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$('#api_button_textgenerationwebui').trigger('click');
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} catch (err) {
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console.error(err);
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toastr.error('Failed to download Ollama model. Please try again.');
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}
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}
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jQuery(function () {
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$('#mancer_model').on('change', onMancerModelSelect);
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$('#model_togetherai_select').on('change', onTogetherModelSelect);
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$('#ollama_model').on('change', onOllamaModelSelect);
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$('#ollama_download_model').on('click', downloadOllamaModel);
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if (!isMobile()) {
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$('#mancer_model').select2({
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placeholder: 'Select a model',
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searchInputPlaceholder: 'Search models...',
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searchInputCssClass: 'text_pole',
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width: '100%',
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templateResult: getMancerModelTemplate,
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});
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$('#model_togetherai_select').select2({
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placeholder: 'Select a model',
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searchInputPlaceholder: 'Search models...',
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searchInputCssClass: 'text_pole',
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width: '100%',
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templateResult: getTogetherModelTemplate,
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});
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$('#ollama_model').select2({
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placeholder: 'Select a model',
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searchInputPlaceholder: 'Search models...',
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searchInputCssClass: 'text_pole',
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width: '100%',
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});
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}
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});
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