mirror of
https://github.com/SillyTavern/SillyTavern.git
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5399 lines
208 KiB
JavaScript
5399 lines
208 KiB
JavaScript
/*
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* CODE FOR OPENAI SUPPORT
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* By CncAnon (@CncAnon1)
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* https://github.com/CncAnon1/TavernAITurbo
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*/
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import {
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abortStatusCheck,
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callPopup,
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characters,
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event_types,
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eventSource,
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extension_prompt_roles,
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extension_prompt_types,
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Generate,
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getExtensionPrompt,
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getNextMessageId,
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getRequestHeaders,
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getStoppingStrings,
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is_send_press,
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main_api,
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MAX_INJECTION_DEPTH,
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name1,
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name2,
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replaceItemizedPromptText,
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resultCheckStatus,
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saveSettingsDebounced,
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setOnlineStatus,
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startStatusLoading,
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substituteParams,
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substituteParamsExtended,
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system_message_types,
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this_chid,
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} from '../script.js';
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import { selected_group } from './group-chats.js';
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import {
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chatCompletionDefaultPrompts,
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INJECTION_POSITION,
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Prompt,
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PromptManager,
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promptManagerDefaultPromptOrders,
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} from './PromptManager.js';
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import { forceCharacterEditorTokenize, getCustomStoppingStrings, persona_description_positions, power_user } from './power-user.js';
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import { SECRET_KEYS, secret_state, writeSecret } from './secrets.js';
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import { getEventSourceStream } from './sse-stream.js';
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import {
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createThumbnail,
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delay,
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download,
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getBase64Async,
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getFileText,
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getImageSizeFromDataURL,
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getSortableDelay,
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getStringHash,
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isDataURL,
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parseJsonFile,
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resetScrollHeight,
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stringFormat,
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} from './utils.js';
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import { countTokensOpenAI, getTokenizerModel } from './tokenizers.js';
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import {
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formatInstructModeChat,
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formatInstructModeExamples,
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formatInstructModePrompt,
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formatInstructModeSystemPrompt,
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} from './instruct-mode.js';
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import { isMobile } from './RossAscends-mods.js';
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import { saveLogprobsForActiveMessage } from './logprobs.js';
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import { SlashCommandParser } from './slash-commands/SlashCommandParser.js';
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import { SlashCommand } from './slash-commands/SlashCommand.js';
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import { ARGUMENT_TYPE, SlashCommandArgument } from './slash-commands/SlashCommandArgument.js';
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import { renderTemplateAsync } from './templates.js';
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import { SlashCommandEnumValue } from './slash-commands/SlashCommandEnumValue.js';
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import { Popup, POPUP_RESULT } from './popup.js';
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import { t } from './i18n.js';
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export {
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openai_messages_count,
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oai_settings,
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loadOpenAISettings,
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setOpenAIMessages,
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setOpenAIMessageExamples,
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setupChatCompletionPromptManager,
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sendOpenAIRequest,
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getChatCompletionModel,
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TokenHandler,
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IdentifierNotFoundError,
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Message,
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MessageCollection,
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};
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let openai_messages_count = 0;
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const default_main_prompt = 'Write {{char}}\'s next reply in a fictional chat between {{charIfNotGroup}} and {{user}}.';
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const default_nsfw_prompt = '';
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const default_jailbreak_prompt = '';
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const default_impersonation_prompt = '[Write your next reply from the point of view of {{user}}, using the chat history so far as a guideline for the writing style of {{user}}. Don\'t write as {{char}} or system. Don\'t describe actions of {{char}}.]';
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const default_enhance_definitions_prompt = 'If you have more knowledge of {{char}}, add to the character\'s lore and personality to enhance them but keep the Character Sheet\'s definitions absolute.';
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const default_wi_format = '{0}';
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const default_new_chat_prompt = '[Start a new Chat]';
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const default_new_group_chat_prompt = '[Start a new group chat. Group members: {{group}}]';
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const default_new_example_chat_prompt = '[Example Chat]';
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const default_claude_human_sysprompt_message = 'Let\'s get started. Please generate your response based on the information and instructions provided above.';
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const default_continue_nudge_prompt = '[Continue the following message. Do not include ANY parts of the original message. Use capitalization and punctuation as if your reply is a part of the original message: {{lastChatMessage}}]';
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const default_bias = 'Default (none)';
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const default_personality_format = '[{{char}}\'s personality: {{personality}}]';
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const default_scenario_format = '[Circumstances and context of the dialogue: {{scenario}}]';
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const default_group_nudge_prompt = '[Write the next reply only as {{char}}.]';
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const default_bias_presets = {
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[default_bias]: [],
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'Anti-bond': [
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{ text: ' bond', value: -50 },
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{ text: ' future', value: -50 },
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{ text: ' bonding', value: -50 },
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{ text: ' connection', value: -25 },
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],
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};
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const max_2k = 2047;
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const max_4k = 4095;
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const max_8k = 8191;
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const max_12k = 12287;
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const max_16k = 16383;
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const max_32k = 32767;
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const max_64k = 65535;
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const max_128k = 128 * 1000;
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const max_200k = 200 * 1000;
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const max_256k = 256 * 1000;
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const max_1mil = 1000 * 1000;
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const max_2mil = 2000 * 1000;
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const scale_max = 8191;
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const claude_max = 9000; // We have a proper tokenizer, so theoretically could be larger (up to 9k)
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const claude_100k_max = 99000;
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const unlocked_max = max_2mil;
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const oai_max_temp = 2.0;
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const claude_max_temp = 1.0;
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const openrouter_website_model = 'OR_Website';
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const openai_max_stop_strings = 4;
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const textCompletionModels = [
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'gpt-3.5-turbo-instruct',
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'gpt-3.5-turbo-instruct-0914',
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'text-davinci-003',
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'text-davinci-002',
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'text-davinci-001',
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'text-curie-001',
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'text-babbage-001',
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'text-ada-001',
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'code-davinci-002',
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'code-davinci-001',
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'code-cushman-002',
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'code-cushman-001',
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'text-davinci-edit-001',
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'code-davinci-edit-001',
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'text-embedding-ada-002',
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'text-similarity-davinci-001',
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'text-similarity-curie-001',
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'text-similarity-babbage-001',
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'text-similarity-ada-001',
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'text-search-davinci-doc-001',
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'text-search-curie-doc-001',
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'text-search-babbage-doc-001',
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'text-search-ada-doc-001',
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'code-search-babbage-code-001',
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'code-search-ada-code-001',
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];
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let biasCache = undefined;
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export let model_list = [];
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export const chat_completion_sources = {
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OPENAI: 'openai',
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WINDOWAI: 'windowai',
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CLAUDE: 'claude',
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SCALE: 'scale',
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OPENROUTER: 'openrouter',
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AI21: 'ai21',
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MAKERSUITE: 'makersuite',
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MISTRALAI: 'mistralai',
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CUSTOM: 'custom',
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COHERE: 'cohere',
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PERPLEXITY: 'perplexity',
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GROQ: 'groq',
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ZEROONEAI: '01ai',
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BLOCKENTROPY: 'blockentropy',
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};
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const character_names_behavior = {
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NONE: -1,
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DEFAULT: 0,
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COMPLETION: 1,
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CONTENT: 2,
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};
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const continue_postfix_types = {
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NONE: '',
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SPACE: ' ',
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NEWLINE: '\n',
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DOUBLE_NEWLINE: '\n\n',
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};
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const custom_prompt_post_processing_types = {
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NONE: '',
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CLAUDE: 'claude',
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};
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const sensitiveFields = [
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'reverse_proxy',
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'proxy_password',
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'custom_url',
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'custom_include_body',
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'custom_exclude_body',
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'custom_include_headers',
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];
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const default_settings = {
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preset_settings_openai: 'Default',
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temp_openai: 1.0,
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freq_pen_openai: 0,
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pres_pen_openai: 0,
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top_p_openai: 1.0,
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top_k_openai: 0,
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min_p_openai: 0,
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top_a_openai: 0,
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repetition_penalty_openai: 1,
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stream_openai: false,
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websearch_cohere: false,
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openai_max_context: max_4k,
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openai_max_tokens: 300,
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wrap_in_quotes: false,
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...chatCompletionDefaultPrompts,
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...promptManagerDefaultPromptOrders,
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send_if_empty: '',
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impersonation_prompt: default_impersonation_prompt,
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new_chat_prompt: default_new_chat_prompt,
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new_group_chat_prompt: default_new_group_chat_prompt,
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new_example_chat_prompt: default_new_example_chat_prompt,
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continue_nudge_prompt: default_continue_nudge_prompt,
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bias_preset_selected: default_bias,
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bias_presets: default_bias_presets,
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wi_format: default_wi_format,
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group_nudge_prompt: default_group_nudge_prompt,
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scenario_format: default_scenario_format,
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personality_format: default_personality_format,
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openai_model: 'gpt-4-turbo',
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claude_model: 'claude-3-5-sonnet-20240620',
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google_model: 'gemini-1.5-pro',
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ai21_model: 'jamba-1.5-large',
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mistralai_model: 'mistral-large-latest',
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cohere_model: 'command-r-plus',
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perplexity_model: 'llama-3.1-70b-instruct',
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groq_model: 'llama-3.1-70b-versatile',
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zerooneai_model: 'yi-large',
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blockentropy_model: 'be-70b-base-llama3.1',
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custom_model: '',
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custom_url: '',
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custom_include_body: '',
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custom_exclude_body: '',
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custom_include_headers: '',
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windowai_model: '',
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openrouter_model: openrouter_website_model,
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openrouter_use_fallback: false,
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openrouter_force_instruct: false,
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openrouter_group_models: false,
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openrouter_sort_models: 'alphabetically',
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openrouter_providers: [],
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openrouter_allow_fallbacks: true,
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jailbreak_system: false,
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reverse_proxy: '',
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chat_completion_source: chat_completion_sources.OPENAI,
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max_context_unlocked: false,
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api_url_scale: '',
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show_external_models: false,
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proxy_password: '',
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assistant_prefill: '',
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assistant_impersonation: '',
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human_sysprompt_message: default_claude_human_sysprompt_message,
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claude_use_sysprompt: false,
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use_makersuite_sysprompt: true,
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use_alt_scale: false,
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squash_system_messages: false,
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image_inlining: false,
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inline_image_quality: 'low',
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bypass_status_check: false,
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continue_prefill: false,
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function_calling: false,
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names_behavior: character_names_behavior.DEFAULT,
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continue_postfix: continue_postfix_types.SPACE,
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custom_prompt_post_processing: custom_prompt_post_processing_types.NONE,
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seed: -1,
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n: 1,
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};
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const oai_settings = {
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preset_settings_openai: 'Default',
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temp_openai: 1.0,
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freq_pen_openai: 0,
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pres_pen_openai: 0,
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top_p_openai: 1.0,
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top_k_openai: 0,
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min_p_openai: 0,
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top_a_openai: 0,
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repetition_penalty_openai: 1,
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stream_openai: false,
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websearch_cohere: false,
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openai_max_context: max_4k,
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openai_max_tokens: 300,
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wrap_in_quotes: false,
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...chatCompletionDefaultPrompts,
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...promptManagerDefaultPromptOrders,
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send_if_empty: '',
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impersonation_prompt: default_impersonation_prompt,
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new_chat_prompt: default_new_chat_prompt,
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new_group_chat_prompt: default_new_group_chat_prompt,
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new_example_chat_prompt: default_new_example_chat_prompt,
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continue_nudge_prompt: default_continue_nudge_prompt,
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bias_preset_selected: default_bias,
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bias_presets: default_bias_presets,
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wi_format: default_wi_format,
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group_nudge_prompt: default_group_nudge_prompt,
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scenario_format: default_scenario_format,
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personality_format: default_personality_format,
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openai_model: 'gpt-4-turbo',
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claude_model: 'claude-3-5-sonnet-20240620',
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google_model: 'gemini-1.5-pro',
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ai21_model: 'jamba-1.5-large',
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mistralai_model: 'mistral-large-latest',
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cohere_model: 'command-r-plus',
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perplexity_model: 'llama-3.1-70b-instruct',
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groq_model: 'llama-3.1-70b-versatile',
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zerooneai_model: 'yi-large',
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blockentropy_model: 'be-70b-base-llama3.1',
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custom_model: '',
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custom_url: '',
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custom_include_body: '',
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custom_exclude_body: '',
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custom_include_headers: '',
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windowai_model: '',
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openrouter_model: openrouter_website_model,
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openrouter_use_fallback: false,
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openrouter_force_instruct: false,
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openrouter_group_models: false,
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openrouter_sort_models: 'alphabetically',
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openrouter_providers: [],
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openrouter_allow_fallbacks: true,
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jailbreak_system: false,
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reverse_proxy: '',
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chat_completion_source: chat_completion_sources.OPENAI,
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max_context_unlocked: false,
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api_url_scale: '',
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show_external_models: false,
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proxy_password: '',
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assistant_prefill: '',
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assistant_impersonation: '',
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human_sysprompt_message: default_claude_human_sysprompt_message,
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claude_use_sysprompt: false,
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use_makersuite_sysprompt: true,
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use_alt_scale: false,
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squash_system_messages: false,
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image_inlining: false,
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inline_image_quality: 'low',
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bypass_status_check: false,
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continue_prefill: false,
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function_calling: false,
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names_behavior: character_names_behavior.DEFAULT,
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continue_postfix: continue_postfix_types.SPACE,
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custom_prompt_post_processing: custom_prompt_post_processing_types.NONE,
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seed: -1,
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n: 1,
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};
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export let proxies = [
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{
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name: 'None',
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url: '',
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password: '',
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},
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];
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export let selected_proxy = proxies[0];
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let openai_setting_names;
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let openai_settings;
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let promptManager = null;
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async function validateReverseProxy() {
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if (!oai_settings.reverse_proxy) {
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return;
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}
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try {
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new URL(oai_settings.reverse_proxy);
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}
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catch (err) {
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toastr.error('Entered reverse proxy address is not a valid URL');
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setOnlineStatus('no_connection');
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resultCheckStatus();
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throw err;
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}
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const rememberKey = `Proxy_SkipConfirm_${getStringHash(oai_settings.reverse_proxy)}`;
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const skipConfirm = localStorage.getItem(rememberKey) === 'true';
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const confirmation = skipConfirm || await Popup.show.confirm(t`Connecting To Proxy`, await renderTemplateAsync('proxyConnectionWarning', { proxyURL: DOMPurify.sanitize(oai_settings.reverse_proxy) }));
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if (!confirmation) {
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toastr.error('Update or remove your reverse proxy settings.');
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setOnlineStatus('no_connection');
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resultCheckStatus();
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throw new Error('Proxy connection denied.');
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}
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localStorage.setItem(rememberKey, String(true));
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}
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/**
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* Converts the Chat Completion object to an Instruct Mode prompt string.
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* @param {object[]} messages Array of messages
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* @param {string} type Generation type
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* @returns {string} Text completion prompt
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*/
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function convertChatCompletionToInstruct(messages, type) {
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const newChatPrompts = [
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substituteParams(oai_settings.new_chat_prompt),
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substituteParams(oai_settings.new_example_chat_prompt),
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substituteParams(oai_settings.new_group_chat_prompt),
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];
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messages = messages.filter(x => !newChatPrompts.includes(x.content));
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let chatMessagesText = '';
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let systemPromptText = '';
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let examplesText = '';
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function getPrefix(message) {
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let prefix;
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if (message.role === 'user' || message.name === 'example_user') {
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if (selected_group) {
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prefix = '';
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} else if (message.name === 'example_user') {
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prefix = name1;
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} else {
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prefix = message.name ?? name1;
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}
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}
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if (message.role === 'assistant' || message.name === 'example_assistant') {
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if (selected_group) {
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prefix = '';
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}
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else if (message.name === 'example_assistant') {
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prefix = name2;
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} else {
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prefix = message.name ?? name2;
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}
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}
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return prefix;
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}
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function toString(message) {
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if (message.role === 'system' && !message.name) {
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return message.content;
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}
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const prefix = getPrefix(message);
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return prefix ? `${prefix}: ${message.content}` : message.content;
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}
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const firstChatMessage = messages.findIndex(message => message.role === 'assistant' || message.role === 'user');
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const systemPromptMessages = messages.slice(0, firstChatMessage).filter(message => message.role === 'system' && !message.name);
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if (systemPromptMessages.length) {
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systemPromptText = systemPromptMessages.map(message => message.content).join('\n');
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systemPromptText = formatInstructModeSystemPrompt(systemPromptText);
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}
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const exampleMessages = messages.filter(x => x.role === 'system' && (x.name === 'example_user' || x.name === 'example_assistant'));
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if (exampleMessages.length) {
|
|
const blockHeading = power_user.context.example_separator ? (substituteParams(power_user.context.example_separator) + '\n') : '';
|
|
const examplesArray = exampleMessages.map(m => '<START>\n' + toString(m));
|
|
examplesText = blockHeading + formatInstructModeExamples(examplesArray, name1, name2).join('');
|
|
}
|
|
|
|
const chatMessages = messages.slice(firstChatMessage);
|
|
|
|
if (chatMessages.length) {
|
|
chatMessagesText = substituteParams(power_user.context.chat_start) + '\n';
|
|
|
|
for (const message of chatMessages) {
|
|
const name = getPrefix(message);
|
|
const isUser = message.role === 'user';
|
|
const isNarrator = message.role === 'system';
|
|
chatMessagesText += formatInstructModeChat(name, message.content, isUser, isNarrator, '', name1, name2, false);
|
|
}
|
|
}
|
|
|
|
const isImpersonate = type === 'impersonate';
|
|
const isContinue = type === 'continue';
|
|
const isQuiet = type === 'quiet';
|
|
const isQuietToLoud = false; // Quiet to loud not implemented for Chat Completion
|
|
const promptName = isImpersonate ? name1 : name2;
|
|
const promptLine = isContinue ? '' : formatInstructModePrompt(promptName, isImpersonate, '', name1, name2, isQuiet, isQuietToLoud).trimStart();
|
|
|
|
let prompt = [systemPromptText, examplesText, chatMessagesText, promptLine]
|
|
.filter(x => x)
|
|
.map(x => x.endsWith('\n') ? x : `${x}\n`)
|
|
.join('');
|
|
|
|
if (isContinue) {
|
|
prompt = prompt.replace(/\n$/, '');
|
|
}
|
|
|
|
return prompt;
|
|
}
|
|
|
|
/**
|
|
* Formats chat messages into chat completion messages.
|
|
* @param {object[]} chat - Array containing all messages.
|
|
* @returns {object[]} - Array containing all messages formatted for chat completion.
|
|
*/
|
|
function setOpenAIMessages(chat) {
|
|
let j = 0;
|
|
// clean openai msgs
|
|
const messages = [];
|
|
for (let i = chat.length - 1; i >= 0; i--) {
|
|
let role = chat[j]['is_user'] ? 'user' : 'assistant';
|
|
let content = chat[j]['mes'];
|
|
|
|
// 100% legal way to send a message as system
|
|
if (chat[j].extra?.type === system_message_types.NARRATOR) {
|
|
role = 'system';
|
|
}
|
|
|
|
// for groups or sendas command - prepend a character's name
|
|
switch (oai_settings.names_behavior) {
|
|
case character_names_behavior.NONE:
|
|
break;
|
|
case character_names_behavior.DEFAULT:
|
|
if (selected_group || (chat[j].force_avatar && chat[j].name !== name1 && chat[j].extra?.type !== system_message_types.NARRATOR)) {
|
|
content = `${chat[j].name}: ${content}`;
|
|
}
|
|
break;
|
|
case character_names_behavior.CONTENT:
|
|
if (chat[j].extra?.type !== system_message_types.NARRATOR) {
|
|
content = `${chat[j].name}: ${content}`;
|
|
}
|
|
break;
|
|
case character_names_behavior.COMPLETION:
|
|
break;
|
|
default:
|
|
break;
|
|
}
|
|
|
|
// remove caret return (waste of tokens)
|
|
content = content.replace(/\r/gm, '');
|
|
|
|
// Apply the "wrap in quotes" option
|
|
if (role == 'user' && oai_settings.wrap_in_quotes) content = `"${content}"`;
|
|
const name = chat[j]['name'];
|
|
const image = chat[j]?.extra?.image;
|
|
messages[i] = { 'role': role, 'content': content, name: name, 'image': image };
|
|
j++;
|
|
}
|
|
|
|
return messages;
|
|
}
|
|
|
|
/**
|
|
* Formats chat examples into chat completion messages.
|
|
* @param {string[]} mesExamplesArray - Array containing all examples.
|
|
* @returns {object[]} - Array containing all examples formatted for chat completion.
|
|
*/
|
|
function setOpenAIMessageExamples(mesExamplesArray) {
|
|
// get a nice array of all blocks of all example messages = array of arrays (important!)
|
|
const examples = [];
|
|
for (let item of mesExamplesArray) {
|
|
// remove <START> {Example Dialogue:} and replace \r\n with just \n
|
|
let replaced = item.replace(/<START>/i, '{Example Dialogue:}').replace(/\r/gm, '');
|
|
let parsed = parseExampleIntoIndividual(replaced, true);
|
|
// add to the example message blocks array
|
|
examples.push(parsed);
|
|
}
|
|
return examples;
|
|
}
|
|
|
|
/**
|
|
* One-time setup for prompt manager module.
|
|
*
|
|
* @param openAiSettings
|
|
* @returns {PromptManager|null}
|
|
*/
|
|
function setupChatCompletionPromptManager(openAiSettings) {
|
|
// Do not set up prompt manager more than once
|
|
if (promptManager) {
|
|
promptManager.render(false);
|
|
return promptManager;
|
|
}
|
|
|
|
promptManager = new PromptManager();
|
|
|
|
const configuration = {
|
|
prefix: 'completion_',
|
|
containerIdentifier: 'completion_prompt_manager',
|
|
listIdentifier: 'completion_prompt_manager_list',
|
|
toggleDisabled: [],
|
|
sortableDelay: getSortableDelay(),
|
|
defaultPrompts: {
|
|
main: default_main_prompt,
|
|
nsfw: default_nsfw_prompt,
|
|
jailbreak: default_jailbreak_prompt,
|
|
enhanceDefinitions: default_enhance_definitions_prompt,
|
|
},
|
|
promptOrder: {
|
|
strategy: 'global',
|
|
dummyId: 100001,
|
|
},
|
|
};
|
|
|
|
promptManager.saveServiceSettings = () => {
|
|
saveSettingsDebounced();
|
|
return new Promise((resolve) => eventSource.once(event_types.SETTINGS_UPDATED, resolve));
|
|
};
|
|
|
|
promptManager.tryGenerate = () => {
|
|
if (characters[this_chid]) {
|
|
return Generate('normal', {}, true);
|
|
} else {
|
|
return Promise.resolve();
|
|
}
|
|
};
|
|
|
|
promptManager.tokenHandler = tokenHandler;
|
|
|
|
promptManager.init(configuration, openAiSettings);
|
|
promptManager.render(false);
|
|
|
|
return promptManager;
|
|
}
|
|
|
|
/**
|
|
* Parses the example messages into individual messages.
|
|
* @param {string} messageExampleString - The string containing the example messages
|
|
* @param {boolean} appendNamesForGroup - Whether to append the character name for group chats
|
|
* @returns {Message[]} Array of message objects
|
|
*/
|
|
export function parseExampleIntoIndividual(messageExampleString, appendNamesForGroup = true) {
|
|
let result = []; // array of msgs
|
|
let tmp = messageExampleString.split('\n');
|
|
let cur_msg_lines = [];
|
|
let in_user = false;
|
|
let in_bot = false;
|
|
// DRY my cock and balls :)
|
|
function add_msg(name, role, system_name) {
|
|
// join different newlines (we split them by \n and join by \n)
|
|
// remove char name
|
|
// strip to remove extra spaces
|
|
let parsed_msg = cur_msg_lines.join('\n').replace(name + ':', '').trim();
|
|
|
|
if (appendNamesForGroup && selected_group && ['example_user', 'example_assistant'].includes(system_name)) {
|
|
parsed_msg = `${name}: ${parsed_msg}`;
|
|
}
|
|
|
|
result.push({ 'role': role, 'content': parsed_msg, 'name': system_name });
|
|
cur_msg_lines = [];
|
|
}
|
|
// skip first line as it'll always be "This is how {bot name} should talk"
|
|
for (let i = 1; i < tmp.length; i++) {
|
|
let cur_str = tmp[i];
|
|
// if it's the user message, switch into user mode and out of bot mode
|
|
// yes, repeated code, but I don't care
|
|
if (cur_str.startsWith(name1 + ':')) {
|
|
in_user = true;
|
|
// we were in the bot mode previously, add the message
|
|
if (in_bot) {
|
|
add_msg(name2, 'system', 'example_assistant');
|
|
}
|
|
in_bot = false;
|
|
} else if (cur_str.startsWith(name2 + ':')) {
|
|
in_bot = true;
|
|
// we were in the user mode previously, add the message
|
|
if (in_user) {
|
|
add_msg(name1, 'system', 'example_user');
|
|
}
|
|
in_user = false;
|
|
}
|
|
// push the current line into the current message array only after checking for presence of user/bot
|
|
cur_msg_lines.push(cur_str);
|
|
}
|
|
// Special case for last message in a block because we don't have a new message to trigger the switch
|
|
if (in_user) {
|
|
add_msg(name1, 'system', 'example_user');
|
|
} else if (in_bot) {
|
|
add_msg(name2, 'system', 'example_assistant');
|
|
}
|
|
return result;
|
|
}
|
|
|
|
function formatWorldInfo(value) {
|
|
if (!value) {
|
|
return '';
|
|
}
|
|
|
|
if (!oai_settings.wi_format.trim()) {
|
|
return value;
|
|
}
|
|
|
|
return stringFormat(oai_settings.wi_format, value);
|
|
}
|
|
|
|
/**
|
|
* This function populates the injections in the conversation.
|
|
*
|
|
* @param {Prompt[]} prompts - Array containing injection prompts.
|
|
* @param {Object[]} messages - Array containing all messages.
|
|
*/
|
|
function populationInjectionPrompts(prompts, messages) {
|
|
let totalInsertedMessages = 0;
|
|
|
|
const roleTypes = {
|
|
'system': extension_prompt_roles.SYSTEM,
|
|
'user': extension_prompt_roles.USER,
|
|
'assistant': extension_prompt_roles.ASSISTANT,
|
|
};
|
|
|
|
for (let i = 0; i <= MAX_INJECTION_DEPTH; i++) {
|
|
// Get prompts for current depth
|
|
const depthPrompts = prompts.filter(prompt => prompt.injection_depth === i && prompt.content);
|
|
|
|
// Order of priority (most important go lower)
|
|
const roles = ['system', 'user', 'assistant'];
|
|
const roleMessages = [];
|
|
const separator = '\n';
|
|
const wrap = false;
|
|
|
|
for (const role of roles) {
|
|
// Get prompts for current role
|
|
const rolePrompts = depthPrompts.filter(prompt => prompt.role === role).map(x => x.content).join(separator);
|
|
// Get extension prompt
|
|
const extensionPrompt = getExtensionPrompt(extension_prompt_types.IN_CHAT, i, separator, roleTypes[role], wrap);
|
|
|
|
const jointPrompt = [rolePrompts, extensionPrompt].filter(x => x).map(x => x.trim()).join(separator);
|
|
|
|
if (jointPrompt && jointPrompt.length) {
|
|
roleMessages.push({ 'role': role, 'content': jointPrompt, injected: true });
|
|
}
|
|
}
|
|
|
|
if (roleMessages.length) {
|
|
const injectIdx = i + totalInsertedMessages;
|
|
messages.splice(injectIdx, 0, ...roleMessages);
|
|
totalInsertedMessages += roleMessages.length;
|
|
}
|
|
}
|
|
|
|
messages = messages.reverse();
|
|
return messages;
|
|
}
|
|
|
|
export function isOpenRouterWithInstruct() {
|
|
return oai_settings.chat_completion_source === chat_completion_sources.OPENROUTER && oai_settings.openrouter_force_instruct && power_user.instruct.enabled;
|
|
}
|
|
|
|
/**
|
|
* Populates the chat history of the conversation.
|
|
* @param {object[]} messages - Array containing all messages.
|
|
* @param {import('./PromptManager').PromptCollection} prompts - Map object containing all prompts where the key is the prompt identifier and the value is the prompt object.
|
|
* @param {ChatCompletion} chatCompletion - An instance of ChatCompletion class that will be populated with the prompts.
|
|
* @param type
|
|
* @param cyclePrompt
|
|
*/
|
|
async function populateChatHistory(messages, prompts, chatCompletion, type = null, cyclePrompt = null) {
|
|
if (!prompts.has('chatHistory')) {
|
|
return;
|
|
}
|
|
|
|
chatCompletion.add(new MessageCollection('chatHistory'), prompts.index('chatHistory'));
|
|
|
|
// Reserve budget for new chat message
|
|
const newChat = selected_group ? oai_settings.new_group_chat_prompt : oai_settings.new_chat_prompt;
|
|
const newChatMessage = new Message('system', substituteParams(newChat), 'newMainChat');
|
|
chatCompletion.reserveBudget(newChatMessage);
|
|
|
|
// Reserve budget for group nudge
|
|
let groupNudgeMessage = null;
|
|
const noGroupNudgeTypes = ['impersonate'];
|
|
if (selected_group && prompts.has('groupNudge') && !noGroupNudgeTypes.includes(type)) {
|
|
groupNudgeMessage = Message.fromPrompt(prompts.get('groupNudge'));
|
|
chatCompletion.reserveBudget(groupNudgeMessage);
|
|
}
|
|
|
|
// Reserve budget for continue nudge
|
|
let continueMessage = null;
|
|
const instruct = isOpenRouterWithInstruct();
|
|
if (type === 'continue' && cyclePrompt && !instruct && !oai_settings.continue_prefill) {
|
|
const promptObject = {
|
|
identifier: 'continueNudge',
|
|
role: 'system',
|
|
content: substituteParamsExtended(oai_settings.continue_nudge_prompt, { lastChatMessage: String(cyclePrompt).trim() }),
|
|
system_prompt: true,
|
|
};
|
|
const continuePrompt = new Prompt(promptObject);
|
|
const preparedPrompt = promptManager.preparePrompt(continuePrompt);
|
|
continueMessage = Message.fromPrompt(preparedPrompt);
|
|
chatCompletion.reserveBudget(continueMessage);
|
|
}
|
|
|
|
const lastChatPrompt = messages[messages.length - 1];
|
|
const message = new Message('user', oai_settings.send_if_empty, 'emptyUserMessageReplacement');
|
|
if (lastChatPrompt && lastChatPrompt.role === 'assistant' && oai_settings.send_if_empty && chatCompletion.canAfford(message)) {
|
|
chatCompletion.insert(message, 'chatHistory');
|
|
}
|
|
|
|
const imageInlining = isImageInliningSupported();
|
|
|
|
// Insert chat messages as long as there is budget available
|
|
const chatPool = [...messages].reverse();
|
|
const firstNonInjected = chatPool.find(x => !x.injected);
|
|
for (let index = 0; index < chatPool.length; index++) {
|
|
const chatPrompt = chatPool[index];
|
|
|
|
// We do not want to mutate the prompt
|
|
const prompt = new Prompt(chatPrompt);
|
|
prompt.identifier = `chatHistory-${messages.length - index}`;
|
|
const chatMessage = Message.fromPrompt(promptManager.preparePrompt(prompt));
|
|
|
|
if (promptManager.serviceSettings.names_behavior === character_names_behavior.COMPLETION && prompt.name) {
|
|
const messageName = promptManager.isValidName(prompt.name) ? prompt.name : promptManager.sanitizeName(prompt.name);
|
|
chatMessage.setName(messageName);
|
|
}
|
|
|
|
if (imageInlining && chatPrompt.image) {
|
|
await chatMessage.addImage(chatPrompt.image);
|
|
}
|
|
|
|
if (chatCompletion.canAfford(chatMessage)) {
|
|
if (type === 'continue' && oai_settings.continue_prefill && chatPrompt === firstNonInjected) {
|
|
const collection = new MessageCollection('continuePrefill', chatMessage);
|
|
chatCompletion.add(collection, -1);
|
|
continue;
|
|
}
|
|
|
|
chatCompletion.insertAtStart(chatMessage, 'chatHistory');
|
|
} else {
|
|
break;
|
|
}
|
|
}
|
|
|
|
// Insert and free new chat
|
|
chatCompletion.freeBudget(newChatMessage);
|
|
chatCompletion.insertAtStart(newChatMessage, 'chatHistory');
|
|
|
|
// Reserve budget for group nudge
|
|
if (selected_group && groupNudgeMessage) {
|
|
chatCompletion.freeBudget(groupNudgeMessage);
|
|
chatCompletion.insertAtEnd(groupNudgeMessage, 'chatHistory');
|
|
}
|
|
|
|
// Insert and free continue nudge
|
|
if (type === 'continue' && continueMessage) {
|
|
chatCompletion.freeBudget(continueMessage);
|
|
chatCompletion.insertAtEnd(continueMessage, 'chatHistory');
|
|
}
|
|
}
|
|
|
|
/**
|
|
* This function populates the dialogue examples in the conversation.
|
|
*
|
|
* @param {import('./PromptManager').PromptCollection} prompts - Map object containing all prompts where the key is the prompt identifier and the value is the prompt object.
|
|
* @param {ChatCompletion} chatCompletion - An instance of ChatCompletion class that will be populated with the prompts.
|
|
* @param {Object[]} messageExamples - Array containing all message examples.
|
|
*/
|
|
function populateDialogueExamples(prompts, chatCompletion, messageExamples) {
|
|
if (!prompts.has('dialogueExamples')) {
|
|
return;
|
|
}
|
|
|
|
chatCompletion.add(new MessageCollection('dialogueExamples'), prompts.index('dialogueExamples'));
|
|
if (Array.isArray(messageExamples) && messageExamples.length) {
|
|
const newExampleChat = new Message('system', substituteParams(oai_settings.new_example_chat_prompt), 'newChat');
|
|
[...messageExamples].forEach((dialogue, dialogueIndex) => {
|
|
let examplesAdded = 0;
|
|
|
|
if (chatCompletion.canAfford(newExampleChat)) chatCompletion.insert(newExampleChat, 'dialogueExamples');
|
|
|
|
for (let promptIndex = 0; promptIndex < dialogue.length; promptIndex++) {
|
|
const prompt = dialogue[promptIndex];
|
|
const role = 'system';
|
|
const content = prompt.content || '';
|
|
const identifier = `dialogueExamples ${dialogueIndex}-${promptIndex}`;
|
|
|
|
const chatMessage = new Message(role, content, identifier);
|
|
chatMessage.setName(prompt.name);
|
|
if (!chatCompletion.canAfford(chatMessage)) {
|
|
break;
|
|
}
|
|
chatCompletion.insert(chatMessage, 'dialogueExamples');
|
|
examplesAdded++;
|
|
}
|
|
|
|
if (0 === examplesAdded) {
|
|
chatCompletion.removeLastFrom('dialogueExamples');
|
|
}
|
|
});
|
|
}
|
|
}
|
|
|
|
/**
|
|
* @param {number} position - Prompt position in the extensions object.
|
|
* @returns {string|false} - The prompt position for prompt collection.
|
|
*/
|
|
function getPromptPosition(position) {
|
|
if (position == extension_prompt_types.BEFORE_PROMPT) {
|
|
return 'start';
|
|
}
|
|
|
|
if (position == extension_prompt_types.IN_PROMPT) {
|
|
return 'end';
|
|
}
|
|
|
|
return false;
|
|
}
|
|
|
|
/**
|
|
* Gets a Chat Completion role based on the prompt role.
|
|
* @param {number} role Role of the prompt.
|
|
* @returns {string} Mapped role.
|
|
*/
|
|
function getPromptRole(role) {
|
|
switch (role) {
|
|
case extension_prompt_roles.SYSTEM:
|
|
return 'system';
|
|
case extension_prompt_roles.USER:
|
|
return 'user';
|
|
case extension_prompt_roles.ASSISTANT:
|
|
return 'assistant';
|
|
default:
|
|
return 'system';
|
|
}
|
|
}
|
|
|
|
/**
|
|
* Populate a chat conversation by adding prompts to the conversation and managing system and user prompts.
|
|
*
|
|
* @param {import('./PromptManager.js').PromptCollection} prompts - PromptCollection containing all prompts where the key is the prompt identifier and the value is the prompt object.
|
|
* @param {ChatCompletion} chatCompletion - An instance of ChatCompletion class that will be populated with the prompts.
|
|
* @param {Object} options - An object with optional settings.
|
|
* @param {string} options.bias - A bias to be added in the conversation.
|
|
* @param {string} options.quietPrompt - Instruction prompt for extras
|
|
* @param {string} options.quietImage - Image prompt for extras
|
|
* @param {string} options.type - The type of the chat, can be 'impersonate'.
|
|
* @param {string} options.cyclePrompt - The last prompt in the conversation.
|
|
* @param {object[]} options.messages - Array containing all messages.
|
|
* @param {object[]} options.messageExamples - Array containing all message examples.
|
|
* @returns {Promise<void>}
|
|
*/
|
|
async function populateChatCompletion(prompts, chatCompletion, { bias, quietPrompt, quietImage, type, cyclePrompt, messages, messageExamples }) {
|
|
// Helper function for preparing a prompt, that already exists within the prompt collection, for completion
|
|
const addToChatCompletion = (source, target = null) => {
|
|
// We need the prompts array to determine a position for the source.
|
|
if (false === prompts.has(source)) return;
|
|
|
|
if (promptManager.isPromptDisabledForActiveCharacter(source) && source !== 'main') {
|
|
promptManager.log(`Skipping prompt ${source} because it is disabled`);
|
|
return;
|
|
}
|
|
|
|
const prompt = prompts.get(source);
|
|
const index = target ? prompts.index(target) : prompts.index(source);
|
|
const collection = new MessageCollection(source);
|
|
collection.add(Message.fromPrompt(prompt));
|
|
chatCompletion.add(collection, index);
|
|
};
|
|
|
|
chatCompletion.reserveBudget(3); // every reply is primed with <|start|>assistant<|message|>
|
|
// Character and world information
|
|
addToChatCompletion('worldInfoBefore');
|
|
addToChatCompletion('main');
|
|
addToChatCompletion('worldInfoAfter');
|
|
addToChatCompletion('charDescription');
|
|
addToChatCompletion('charPersonality');
|
|
addToChatCompletion('scenario');
|
|
addToChatCompletion('personaDescription');
|
|
|
|
// Collection of control prompts that will always be positioned last
|
|
chatCompletion.setOverriddenPrompts(prompts.overriddenPrompts);
|
|
const controlPrompts = new MessageCollection('controlPrompts');
|
|
|
|
const impersonateMessage = Message.fromPrompt(prompts.get('impersonate')) ?? null;
|
|
if (type === 'impersonate') controlPrompts.add(impersonateMessage);
|
|
|
|
// Add quiet prompt to control prompts
|
|
// This should always be last, even in control prompts. Add all further control prompts BEFORE this prompt
|
|
const quietPromptMessage = Message.fromPrompt(prompts.get('quietPrompt')) ?? null;
|
|
if (quietPromptMessage && quietPromptMessage.content) {
|
|
if (isImageInliningSupported() && quietImage) {
|
|
await quietPromptMessage.addImage(quietImage);
|
|
}
|
|
|
|
controlPrompts.add(quietPromptMessage);
|
|
}
|
|
|
|
chatCompletion.reserveBudget(controlPrompts);
|
|
|
|
// Add ordered system and user prompts
|
|
const systemPrompts = ['nsfw', 'jailbreak'];
|
|
const userRelativePrompts = prompts.collection
|
|
.filter((prompt) => false === prompt.system_prompt && prompt.injection_position !== INJECTION_POSITION.ABSOLUTE)
|
|
.reduce((acc, prompt) => {
|
|
acc.push(prompt.identifier);
|
|
return acc;
|
|
}, []);
|
|
const userAbsolutePrompts = prompts.collection
|
|
.filter((prompt) => false === prompt.system_prompt && prompt.injection_position === INJECTION_POSITION.ABSOLUTE)
|
|
.reduce((acc, prompt) => {
|
|
acc.push(prompt);
|
|
return acc;
|
|
}, []);
|
|
|
|
[...systemPrompts, ...userRelativePrompts].forEach(identifier => addToChatCompletion(identifier));
|
|
|
|
// Add enhance definition instruction
|
|
if (prompts.has('enhanceDefinitions')) addToChatCompletion('enhanceDefinitions');
|
|
|
|
// Bias
|
|
if (bias && bias.trim().length) addToChatCompletion('bias');
|
|
|
|
// Tavern Extras - Summary
|
|
if (prompts.has('summary')) {
|
|
const summary = prompts.get('summary');
|
|
|
|
if (summary.position) {
|
|
chatCompletion.insert(Message.fromPrompt(summary), 'main', summary.position);
|
|
}
|
|
}
|
|
|
|
// Authors Note
|
|
if (prompts.has('authorsNote')) {
|
|
const authorsNote = prompts.get('authorsNote');
|
|
|
|
if (authorsNote.position) {
|
|
chatCompletion.insert(Message.fromPrompt(authorsNote), 'main', authorsNote.position);
|
|
}
|
|
}
|
|
|
|
// Vectors Memory
|
|
if (prompts.has('vectorsMemory')) {
|
|
const vectorsMemory = prompts.get('vectorsMemory');
|
|
|
|
if (vectorsMemory.position) {
|
|
chatCompletion.insert(Message.fromPrompt(vectorsMemory), 'main', vectorsMemory.position);
|
|
}
|
|
}
|
|
|
|
// Vectors Data Bank
|
|
if (prompts.has('vectorsDataBank')) {
|
|
const vectorsDataBank = prompts.get('vectorsDataBank');
|
|
|
|
if (vectorsDataBank.position) {
|
|
chatCompletion.insert(Message.fromPrompt(vectorsDataBank), 'main', vectorsDataBank.position);
|
|
}
|
|
}
|
|
|
|
// Smart Context (ChromaDB)
|
|
if (prompts.has('smartContext')) {
|
|
const smartContext = prompts.get('smartContext');
|
|
|
|
if (smartContext.position) {
|
|
chatCompletion.insert(Message.fromPrompt(smartContext), 'main', smartContext.position);
|
|
}
|
|
}
|
|
|
|
// Other relative extension prompts
|
|
for (const prompt of prompts.collection.filter(p => p.extension && p.position)) {
|
|
chatCompletion.insert(Message.fromPrompt(prompt), 'main', prompt.position);
|
|
}
|
|
|
|
// Add in-chat injections
|
|
messages = populationInjectionPrompts(userAbsolutePrompts, messages);
|
|
|
|
// Decide whether dialogue examples should always be added
|
|
if (power_user.pin_examples) {
|
|
populateDialogueExamples(prompts, chatCompletion, messageExamples);
|
|
await populateChatHistory(messages, prompts, chatCompletion, type, cyclePrompt);
|
|
} else {
|
|
await populateChatHistory(messages, prompts, chatCompletion, type, cyclePrompt);
|
|
populateDialogueExamples(prompts, chatCompletion, messageExamples);
|
|
}
|
|
|
|
chatCompletion.freeBudget(controlPrompts);
|
|
if (controlPrompts.collection.length) chatCompletion.add(controlPrompts);
|
|
}
|
|
|
|
/**
|
|
* Combines system prompts with prompt manager prompts
|
|
*
|
|
* @param {Object} options - An object with optional settings.
|
|
* @param {string} options.Scenario - The scenario or context of the dialogue.
|
|
* @param {string} options.charPersonality - Description of the character's personality.
|
|
* @param {string} options.name2 - The second name to be used in the messages.
|
|
* @param {string} options.worldInfoBefore - The world info to be added before the main conversation.
|
|
* @param {string} options.worldInfoAfter - The world info to be added after the main conversation.
|
|
* @param {string} options.charDescription - Description of the character.
|
|
* @param {string} options.quietPrompt - The quiet prompt to be used in the conversation.
|
|
* @param {string} options.bias - The bias to be added in the conversation.
|
|
* @param {Object} options.extensionPrompts - An object containing additional prompts.
|
|
* @param {string} options.systemPromptOverride
|
|
* @param {string} options.jailbreakPromptOverride
|
|
* @param {string} options.personaDescription
|
|
* @returns {Object} prompts - The prepared and merged system and user-defined prompts.
|
|
*/
|
|
function preparePromptsForChatCompletion({ Scenario, charPersonality, name2, worldInfoBefore, worldInfoAfter, charDescription, quietPrompt, bias, extensionPrompts, systemPromptOverride, jailbreakPromptOverride, personaDescription }) {
|
|
const scenarioText = Scenario && oai_settings.scenario_format ? substituteParams(oai_settings.scenario_format) : '';
|
|
const charPersonalityText = charPersonality && oai_settings.personality_format ? substituteParams(oai_settings.personality_format) : '';
|
|
const groupNudge = substituteParams(oai_settings.group_nudge_prompt);
|
|
const impersonationPrompt = oai_settings.impersonation_prompt ? substituteParams(oai_settings.impersonation_prompt) : '';
|
|
|
|
// Create entries for system prompts
|
|
const systemPrompts = [
|
|
// Ordered prompts for which a marker should exist
|
|
{ role: 'system', content: formatWorldInfo(worldInfoBefore), identifier: 'worldInfoBefore' },
|
|
{ role: 'system', content: formatWorldInfo(worldInfoAfter), identifier: 'worldInfoAfter' },
|
|
{ role: 'system', content: charDescription, identifier: 'charDescription' },
|
|
{ role: 'system', content: charPersonalityText, identifier: 'charPersonality' },
|
|
{ role: 'system', content: scenarioText, identifier: 'scenario' },
|
|
// Unordered prompts without marker
|
|
{ role: 'system', content: impersonationPrompt, identifier: 'impersonate' },
|
|
{ role: 'system', content: quietPrompt, identifier: 'quietPrompt' },
|
|
{ role: 'system', content: bias, identifier: 'bias' },
|
|
{ role: 'system', content: groupNudge, identifier: 'groupNudge' },
|
|
];
|
|
|
|
// Tavern Extras - Summary
|
|
const summary = extensionPrompts['1_memory'];
|
|
if (summary && summary.value) systemPrompts.push({
|
|
role: getPromptRole(summary.role),
|
|
content: summary.value,
|
|
identifier: 'summary',
|
|
position: getPromptPosition(summary.position),
|
|
});
|
|
|
|
// Authors Note
|
|
const authorsNote = extensionPrompts['2_floating_prompt'];
|
|
if (authorsNote && authorsNote.value) systemPrompts.push({
|
|
role: getPromptRole(authorsNote.role),
|
|
content: authorsNote.value,
|
|
identifier: 'authorsNote',
|
|
position: getPromptPosition(authorsNote.position),
|
|
});
|
|
|
|
// Vectors Memory
|
|
const vectorsMemory = extensionPrompts['3_vectors'];
|
|
if (vectorsMemory && vectorsMemory.value) systemPrompts.push({
|
|
role: 'system',
|
|
content: vectorsMemory.value,
|
|
identifier: 'vectorsMemory',
|
|
position: getPromptPosition(vectorsMemory.position),
|
|
});
|
|
|
|
const vectorsDataBank = extensionPrompts['4_vectors_data_bank'];
|
|
if (vectorsDataBank && vectorsDataBank.value) systemPrompts.push({
|
|
role: getPromptRole(vectorsDataBank.role),
|
|
content: vectorsDataBank.value,
|
|
identifier: 'vectorsDataBank',
|
|
position: getPromptPosition(vectorsDataBank.position),
|
|
});
|
|
|
|
// Smart Context (ChromaDB)
|
|
const smartContext = extensionPrompts['chromadb'];
|
|
if (smartContext && smartContext.value) systemPrompts.push({
|
|
role: 'system',
|
|
content: smartContext.value,
|
|
identifier: 'smartContext',
|
|
position: getPromptPosition(smartContext.position),
|
|
});
|
|
|
|
// Persona Description
|
|
if (power_user.persona_description && power_user.persona_description_position === persona_description_positions.IN_PROMPT) {
|
|
systemPrompts.push({ role: 'system', content: power_user.persona_description, identifier: 'personaDescription' });
|
|
}
|
|
|
|
const knownExtensionPrompts = [
|
|
'1_memory',
|
|
'2_floating_prompt',
|
|
'3_vectors',
|
|
'4_vectors_data_bank',
|
|
'chromadb',
|
|
'PERSONA_DESCRIPTION',
|
|
'QUIET_PROMPT',
|
|
'DEPTH_PROMPT',
|
|
];
|
|
|
|
// Anything that is not a known extension prompt
|
|
for (const key in extensionPrompts) {
|
|
if (Object.hasOwn(extensionPrompts, key)) {
|
|
const prompt = extensionPrompts[key];
|
|
if (knownExtensionPrompts.includes(key)) continue;
|
|
if (!extensionPrompts[key].value) continue;
|
|
if (![extension_prompt_types.BEFORE_PROMPT, extension_prompt_types.IN_PROMPT].includes(prompt.position)) continue;
|
|
|
|
systemPrompts.push({
|
|
identifier: key.replace(/\W/g, '_'),
|
|
position: getPromptPosition(prompt.position),
|
|
role: getPromptRole(prompt.role),
|
|
content: prompt.value,
|
|
extension: true,
|
|
});
|
|
}
|
|
}
|
|
|
|
// This is the prompt order defined by the user
|
|
const prompts = promptManager.getPromptCollection();
|
|
|
|
// Merge system prompts with prompt manager prompts
|
|
systemPrompts.forEach(prompt => {
|
|
const newPrompt = promptManager.preparePrompt(prompt);
|
|
const markerIndex = prompts.index(prompt.identifier);
|
|
|
|
if (-1 !== markerIndex) prompts.collection[markerIndex] = newPrompt;
|
|
else prompts.add(newPrompt);
|
|
});
|
|
|
|
// Apply character-specific main prompt
|
|
const systemPrompt = prompts.get('main') ?? null;
|
|
if (systemPromptOverride && systemPrompt && systemPrompt.forbid_overrides !== true) {
|
|
const mainOriginalContent = systemPrompt.content;
|
|
systemPrompt.content = systemPromptOverride;
|
|
const mainReplacement = promptManager.preparePrompt(systemPrompt, mainOriginalContent);
|
|
prompts.override(mainReplacement, prompts.index('main'));
|
|
}
|
|
|
|
// Apply character-specific jailbreak
|
|
const jailbreakPrompt = prompts.get('jailbreak') ?? null;
|
|
if (jailbreakPromptOverride && jailbreakPrompt && jailbreakPrompt.forbid_overrides !== true) {
|
|
const jbOriginalContent = jailbreakPrompt.content;
|
|
jailbreakPrompt.content = jailbreakPromptOverride;
|
|
const jbReplacement = promptManager.preparePrompt(jailbreakPrompt, jbOriginalContent);
|
|
prompts.override(jbReplacement, prompts.index('jailbreak'));
|
|
}
|
|
|
|
return prompts;
|
|
}
|
|
|
|
/**
|
|
* Take a configuration object and prepares messages for a chat with OpenAI's chat completion API.
|
|
* Handles prompts, prepares chat history, manages token budget, and processes various user settings.
|
|
*
|
|
* @param {Object} content - System prompts provided by SillyTavern
|
|
* @param {string} content.name2 - The second name to be used in the messages.
|
|
* @param {string} content.charDescription - Description of the character.
|
|
* @param {string} content.charPersonality - Description of the character's personality.
|
|
* @param {string} content.Scenario - The scenario or context of the dialogue.
|
|
* @param {string} content.worldInfoBefore - The world info to be added before the main conversation.
|
|
* @param {string} content.worldInfoAfter - The world info to be added after the main conversation.
|
|
* @param {string} content.bias - The bias to be added in the conversation.
|
|
* @param {string} content.type - The type of the chat, can be 'impersonate'.
|
|
* @param {string} content.quietPrompt - The quiet prompt to be used in the conversation.
|
|
* @param {string} content.quietImage - Image prompt for extras
|
|
* @param {string} content.cyclePrompt - The last prompt used for chat message continuation.
|
|
* @param {string} content.systemPromptOverride - The system prompt override.
|
|
* @param {string} content.jailbreakPromptOverride - The jailbreak prompt override.
|
|
* @param {string} content.personaDescription - The persona description.
|
|
* @param {object} content.extensionPrompts - An array of additional prompts.
|
|
* @param {object[]} content.messages - An array of messages to be used as chat history.
|
|
* @param {string[]} content.messageExamples - An array of messages to be used as dialogue examples.
|
|
* @param dryRun - Whether this is a live call or not.
|
|
* @returns {Promise<(any[]|boolean)[]>} An array where the first element is the prepared chat and the second element is a boolean flag.
|
|
*/
|
|
export async function prepareOpenAIMessages({
|
|
name2,
|
|
charDescription,
|
|
charPersonality,
|
|
Scenario,
|
|
worldInfoBefore,
|
|
worldInfoAfter,
|
|
bias,
|
|
type,
|
|
quietPrompt,
|
|
quietImage,
|
|
extensionPrompts,
|
|
cyclePrompt,
|
|
systemPromptOverride,
|
|
jailbreakPromptOverride,
|
|
personaDescription,
|
|
messages,
|
|
messageExamples,
|
|
}, dryRun) {
|
|
// Without a character selected, there is no way to accurately calculate tokens
|
|
if (!promptManager.activeCharacter && dryRun) return [null, false];
|
|
|
|
const chatCompletion = new ChatCompletion();
|
|
if (power_user.console_log_prompts) chatCompletion.enableLogging();
|
|
|
|
const userSettings = promptManager.serviceSettings;
|
|
chatCompletion.setTokenBudget(userSettings.openai_max_context, userSettings.openai_max_tokens);
|
|
|
|
try {
|
|
// Merge markers and ordered user prompts with system prompts
|
|
const prompts = preparePromptsForChatCompletion({
|
|
Scenario,
|
|
charPersonality,
|
|
name2,
|
|
worldInfoBefore,
|
|
worldInfoAfter,
|
|
charDescription,
|
|
quietPrompt,
|
|
quietImage,
|
|
bias,
|
|
extensionPrompts,
|
|
systemPromptOverride,
|
|
jailbreakPromptOverride,
|
|
personaDescription,
|
|
messages,
|
|
messageExamples,
|
|
});
|
|
|
|
// Fill the chat completion with as much context as the budget allows
|
|
await populateChatCompletion(prompts, chatCompletion, { bias, quietPrompt, quietImage, type, cyclePrompt, messages, messageExamples });
|
|
} catch (error) {
|
|
if (error instanceof TokenBudgetExceededError) {
|
|
toastr.error('An error occurred while counting tokens: Token budget exceeded.');
|
|
chatCompletion.log('Token budget exceeded.');
|
|
promptManager.error = 'Not enough free tokens for mandatory prompts. Raise your token Limit or disable custom prompts.';
|
|
} else if (error instanceof InvalidCharacterNameError) {
|
|
toastr.warning('An error occurred while counting tokens: Invalid character name');
|
|
chatCompletion.log('Invalid character name');
|
|
promptManager.error = 'The name of at least one character contained whitespaces or special characters. Please check your user and character name.';
|
|
} else {
|
|
toastr.error('An unknown error occurred while counting tokens. Further information may be available in console.');
|
|
chatCompletion.log('----- Unexpected error while preparing prompts -----');
|
|
chatCompletion.log(error);
|
|
chatCompletion.log(error.stack);
|
|
chatCompletion.log('----------------------------------------------------');
|
|
}
|
|
} finally {
|
|
// Pass chat completion to prompt manager for inspection
|
|
promptManager.setChatCompletion(chatCompletion);
|
|
|
|
if (oai_settings.squash_system_messages && dryRun == false) {
|
|
chatCompletion.squashSystemMessages();
|
|
}
|
|
|
|
// All information is up-to-date, render.
|
|
if (false === dryRun) promptManager.render(false);
|
|
}
|
|
|
|
const chat = chatCompletion.getChat();
|
|
|
|
const eventData = { chat, dryRun };
|
|
await eventSource.emit(event_types.CHAT_COMPLETION_PROMPT_READY, eventData);
|
|
|
|
openai_messages_count = chat.filter(x => x?.role === 'user' || x?.role === 'assistant')?.length || 0;
|
|
|
|
return [chat, promptManager.tokenHandler.counts];
|
|
}
|
|
|
|
function tryParseStreamingError(response, decoded) {
|
|
try {
|
|
const data = JSON.parse(decoded);
|
|
|
|
if (!data) {
|
|
return;
|
|
}
|
|
|
|
checkQuotaError(data);
|
|
checkModerationError(data);
|
|
|
|
if (data.error) {
|
|
toastr.error(data.error.message || response.statusText, 'Chat Completion API');
|
|
throw new Error(data);
|
|
}
|
|
|
|
if (data.message) {
|
|
toastr.error(data.message, 'Chat Completion API');
|
|
throw new Error(data);
|
|
}
|
|
}
|
|
catch {
|
|
// No JSON. Do nothing.
|
|
}
|
|
}
|
|
|
|
function checkQuotaError(data) {
|
|
const errorText = `<h3>Encountered an error while processing your request.<br>
|
|
Check you have credits available on your
|
|
<a href="https://platform.openai.com/account/usage" target="_blank">OpenAI account</a>.<br>
|
|
If you have sufficient credits, please try again later.</h3>`;
|
|
|
|
if (!data) {
|
|
return;
|
|
}
|
|
|
|
if (data.quota_error) {
|
|
callPopup(errorText, 'text');
|
|
throw new Error(data);
|
|
}
|
|
}
|
|
|
|
function checkModerationError(data) {
|
|
const moderationError = data?.error?.message?.includes('requires moderation');
|
|
if (moderationError) {
|
|
const moderationReason = `Reasons: ${data?.error?.metadata?.reasons?.join(', ') ?? '(N/A)'}`;
|
|
const flaggedText = data?.error?.metadata?.flagged_input ?? '(N/A)';
|
|
toastr.info(flaggedText, moderationReason, { timeOut: 10000 });
|
|
}
|
|
}
|
|
|
|
async function sendWindowAIRequest(messages, signal, stream) {
|
|
if (!('ai' in window)) {
|
|
return showWindowExtensionError();
|
|
}
|
|
|
|
let content = '';
|
|
let lastContent = '';
|
|
let finished = false;
|
|
|
|
const currentModel = await window.ai.getCurrentModel();
|
|
let temperature = Number(oai_settings.temp_openai);
|
|
|
|
if ((currentModel.includes('claude') || currentModel.includes('palm-2')) && temperature > claude_max_temp) {
|
|
console.warn(`Claude and PaLM models only supports temperature up to ${claude_max_temp}. Clamping ${temperature} to ${claude_max_temp}.`);
|
|
temperature = claude_max_temp;
|
|
}
|
|
|
|
async function* windowStreamingFunction() {
|
|
while (true) {
|
|
if (signal.aborted) {
|
|
return;
|
|
}
|
|
|
|
// unhang UI thread
|
|
await delay(1);
|
|
|
|
if (lastContent !== content) {
|
|
yield { text: content, swipes: [] };
|
|
}
|
|
|
|
lastContent = content;
|
|
|
|
if (finished) {
|
|
return;
|
|
}
|
|
}
|
|
}
|
|
|
|
const onStreamResult = (res, err) => {
|
|
if (err) {
|
|
return;
|
|
}
|
|
|
|
const thisContent = res?.message?.content;
|
|
|
|
if (res?.isPartial) {
|
|
content += thisContent;
|
|
}
|
|
else {
|
|
content = thisContent;
|
|
}
|
|
};
|
|
|
|
const generatePromise = window.ai.generateText(
|
|
{
|
|
messages: messages,
|
|
},
|
|
{
|
|
temperature: temperature,
|
|
maxTokens: oai_settings.openai_max_tokens,
|
|
model: oai_settings.windowai_model || null,
|
|
onStreamResult: onStreamResult,
|
|
},
|
|
);
|
|
|
|
const handleGeneratePromise = (resolve, reject) => {
|
|
generatePromise
|
|
.then((res) => {
|
|
content = res[0]?.message?.content;
|
|
finished = true;
|
|
resolve && resolve(content);
|
|
})
|
|
.catch((err) => {
|
|
finished = true;
|
|
reject && reject(err);
|
|
handleWindowError(err);
|
|
});
|
|
};
|
|
|
|
if (stream) {
|
|
handleGeneratePromise();
|
|
return windowStreamingFunction;
|
|
} else {
|
|
return new Promise((resolve, reject) => {
|
|
signal.addEventListener('abort', (reason) => {
|
|
reject(reason);
|
|
});
|
|
|
|
handleGeneratePromise(resolve, reject);
|
|
});
|
|
}
|
|
}
|
|
|
|
function getChatCompletionModel() {
|
|
switch (oai_settings.chat_completion_source) {
|
|
case chat_completion_sources.CLAUDE:
|
|
return oai_settings.claude_model;
|
|
case chat_completion_sources.OPENAI:
|
|
return oai_settings.openai_model;
|
|
case chat_completion_sources.WINDOWAI:
|
|
return oai_settings.windowai_model;
|
|
case chat_completion_sources.SCALE:
|
|
return '';
|
|
case chat_completion_sources.MAKERSUITE:
|
|
return oai_settings.google_model;
|
|
case chat_completion_sources.OPENROUTER:
|
|
return oai_settings.openrouter_model !== openrouter_website_model ? oai_settings.openrouter_model : null;
|
|
case chat_completion_sources.AI21:
|
|
return oai_settings.ai21_model;
|
|
case chat_completion_sources.MISTRALAI:
|
|
return oai_settings.mistralai_model;
|
|
case chat_completion_sources.CUSTOM:
|
|
return oai_settings.custom_model;
|
|
case chat_completion_sources.COHERE:
|
|
return oai_settings.cohere_model;
|
|
case chat_completion_sources.PERPLEXITY:
|
|
return oai_settings.perplexity_model;
|
|
case chat_completion_sources.GROQ:
|
|
return oai_settings.groq_model;
|
|
case chat_completion_sources.ZEROONEAI:
|
|
return oai_settings.zerooneai_model;
|
|
case chat_completion_sources.BLOCKENTROPY:
|
|
return oai_settings.blockentropy_model;
|
|
default:
|
|
throw new Error(`Unknown chat completion source: ${oai_settings.chat_completion_source}`);
|
|
}
|
|
}
|
|
|
|
function getOpenRouterModelTemplate(option) {
|
|
const model = model_list.find(x => x.id === option?.element?.value);
|
|
|
|
if (!option.id || !model) {
|
|
return option.text;
|
|
}
|
|
|
|
let tokens_dollar = Number(1 / (1000 * model.pricing?.prompt));
|
|
let tokens_rounded = (Math.round(tokens_dollar * 1000) / 1000).toFixed(0);
|
|
|
|
const price = 0 === Number(model.pricing?.prompt) ? 'Free' : `${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 calculateOpenRouterCost() {
|
|
if (oai_settings.chat_completion_source !== chat_completion_sources.OPENROUTER) {
|
|
return;
|
|
}
|
|
|
|
let cost = 'Unknown';
|
|
const model = model_list.find(x => x.id === oai_settings.openrouter_model);
|
|
|
|
if (model?.pricing) {
|
|
const completionCost = Number(model.pricing.completion);
|
|
const promptCost = Number(model.pricing.prompt);
|
|
const completionTokens = oai_settings.openai_max_tokens;
|
|
const promptTokens = (oai_settings.openai_max_context - completionTokens);
|
|
const totalCost = (completionCost * completionTokens) + (promptCost * promptTokens);
|
|
if (!isNaN(totalCost)) {
|
|
cost = '$' + totalCost.toFixed(3);
|
|
}
|
|
}
|
|
|
|
$('#openrouter_max_prompt_cost').text(cost);
|
|
}
|
|
|
|
function saveModelList(data) {
|
|
model_list = data.map((model) => ({ ...model }));
|
|
model_list.sort((a, b) => a?.id && b?.id && a.id.localeCompare(b.id));
|
|
|
|
if (oai_settings.chat_completion_source == chat_completion_sources.OPENROUTER) {
|
|
model_list = openRouterSortBy(model_list, oai_settings.openrouter_sort_models);
|
|
|
|
$('#model_openrouter_select').empty();
|
|
|
|
if (true === oai_settings.openrouter_group_models) {
|
|
appendOpenRouterOptions(openRouterGroupByVendor(model_list), oai_settings.openrouter_group_models);
|
|
} else {
|
|
appendOpenRouterOptions(model_list);
|
|
}
|
|
|
|
$('#model_openrouter_select').val(oai_settings.openrouter_model).trigger('change');
|
|
}
|
|
|
|
if (oai_settings.chat_completion_source == chat_completion_sources.OPENAI) {
|
|
$('#openai_external_category').empty();
|
|
model_list.forEach((model) => {
|
|
$('#openai_external_category').append(
|
|
$('<option>', {
|
|
value: model.id,
|
|
text: model.id,
|
|
}));
|
|
});
|
|
// If the selected model is not in the list, revert to default
|
|
if (oai_settings.show_external_models) {
|
|
const model = model_list.findIndex((model) => model.id == oai_settings.openai_model) !== -1 ? oai_settings.openai_model : default_settings.openai_model;
|
|
$('#model_openai_select').val(model).trigger('change');
|
|
}
|
|
}
|
|
|
|
if (oai_settings.chat_completion_source == chat_completion_sources.CUSTOM) {
|
|
$('.model_custom_select').empty();
|
|
$('.model_custom_select').append('<option value="">None</option>');
|
|
model_list.forEach((model) => {
|
|
$('.model_custom_select').append(
|
|
$('<option>', {
|
|
value: model.id,
|
|
text: model.id,
|
|
selected: model.id == oai_settings.custom_model,
|
|
}));
|
|
});
|
|
|
|
if (!oai_settings.custom_model && model_list.length > 0) {
|
|
$('#model_custom_select').val(model_list[0].id).trigger('change');
|
|
}
|
|
}
|
|
|
|
if (oai_settings.chat_completion_source == chat_completion_sources.ZEROONEAI) {
|
|
$('#model_01ai_select').empty();
|
|
model_list.forEach((model) => {
|
|
$('#model_01ai_select').append(
|
|
$('<option>', {
|
|
value: model.id,
|
|
text: model.id,
|
|
}));
|
|
});
|
|
|
|
if (!oai_settings.zerooneai_model && model_list.length > 0) {
|
|
oai_settings.zerooneai_model = model_list[0].id;
|
|
}
|
|
|
|
$('#model_01ai_select').val(oai_settings.zerooneai_model).trigger('change');
|
|
}
|
|
|
|
if (oai_settings.chat_completion_source == chat_completion_sources.BLOCKENTROPY) {
|
|
$('#model_blockentropy_select').empty();
|
|
model_list.forEach((model) => {
|
|
$('#model_blockentropy_select').append(
|
|
$('<option>', {
|
|
value: model.id,
|
|
text: model.id,
|
|
}));
|
|
});
|
|
|
|
if (!oai_settings.blockentropy_model && model_list.length > 0) {
|
|
oai_settings.blockentropy_model = model_list[0].id;
|
|
}
|
|
|
|
$('#model_blockentropy_select').val(oai_settings.blockentropy_model).trigger('change');
|
|
}
|
|
}
|
|
|
|
function appendOpenRouterOptions(model_list, groupModels = false, sort = false) {
|
|
$('#model_openrouter_select').append($('<option>', { value: openrouter_website_model, text: 'Use OpenRouter website setting' }));
|
|
|
|
const appendOption = (model, parent = null) => {
|
|
(parent || $('#model_openrouter_select')).append(
|
|
$('<option>', {
|
|
value: model.id,
|
|
text: model.name,
|
|
}));
|
|
};
|
|
|
|
if (groupModels) {
|
|
model_list.forEach((models, vendor) => {
|
|
const optgroup = $(`<optgroup label="${vendor}">`);
|
|
|
|
models.forEach((model) => {
|
|
appendOption(model, optgroup);
|
|
});
|
|
|
|
$('#model_openrouter_select').append(optgroup);
|
|
});
|
|
} else {
|
|
model_list.forEach((model) => {
|
|
appendOption(model);
|
|
});
|
|
}
|
|
}
|
|
|
|
const openRouterSortBy = (data, property = 'alphabetically') => {
|
|
return data.sort((a, b) => {
|
|
if (property === 'context_length') {
|
|
return b.context_length - a.context_length;
|
|
} else if (property === 'pricing.prompt') {
|
|
return parseFloat(a.pricing.prompt) - parseFloat(b.pricing.prompt);
|
|
} else {
|
|
// Alphabetically
|
|
return a?.name && b?.name && a.name.localeCompare(b.name);
|
|
}
|
|
});
|
|
};
|
|
|
|
function openRouterGroupByVendor(array) {
|
|
return array.reduce((acc, curr) => {
|
|
const vendor = curr.id.split('/')[0];
|
|
|
|
if (!acc.has(vendor)) {
|
|
acc.set(vendor, []);
|
|
}
|
|
|
|
acc.get(vendor).push(curr);
|
|
|
|
return acc;
|
|
}, new Map());
|
|
}
|
|
|
|
async function sendAltScaleRequest(messages, logit_bias, signal, type) {
|
|
const generate_url = '/api/backends/scale-alt/generate';
|
|
|
|
let firstSysMsgs = [];
|
|
for (let msg of messages) {
|
|
if (msg.role === 'system') {
|
|
firstSysMsgs.push(substituteParams(msg.name ? msg.name + ': ' + msg.content : msg.content));
|
|
} else {
|
|
break;
|
|
}
|
|
}
|
|
|
|
let subsequentMsgs = messages.slice(firstSysMsgs.length);
|
|
|
|
const joinedSysMsgs = substituteParams(firstSysMsgs.join('\n'));
|
|
const joinedSubsequentMsgs = subsequentMsgs.reduce((acc, obj) => {
|
|
return acc + obj.role + ': ' + obj.content + '\n';
|
|
}, '');
|
|
|
|
messages = substituteParams(joinedSubsequentMsgs);
|
|
const messageId = getNextMessageId(type);
|
|
replaceItemizedPromptText(messageId, messages);
|
|
|
|
const generate_data = {
|
|
sysprompt: joinedSysMsgs,
|
|
prompt: messages,
|
|
temp: Number(oai_settings.temp_openai),
|
|
top_p: Number(oai_settings.top_p_openai),
|
|
max_tokens: Number(oai_settings.openai_max_tokens),
|
|
logit_bias: logit_bias,
|
|
};
|
|
|
|
const response = await fetch(generate_url, {
|
|
method: 'POST',
|
|
body: JSON.stringify(generate_data),
|
|
headers: getRequestHeaders(),
|
|
signal: signal,
|
|
});
|
|
|
|
if (!response.ok) {
|
|
tryParseStreamingError(response, await response.text());
|
|
throw new Error('Scale response does not indicate success.');
|
|
}
|
|
|
|
const data = await response.json();
|
|
return data.output;
|
|
}
|
|
|
|
async function sendOpenAIRequest(type, messages, signal) {
|
|
// Provide default abort signal
|
|
if (!signal) {
|
|
signal = new AbortController().signal;
|
|
}
|
|
|
|
// HACK: Filter out null and non-object messages
|
|
if (!Array.isArray(messages)) {
|
|
throw new Error('messages must be an array');
|
|
}
|
|
|
|
messages = messages.filter(msg => msg && typeof msg === 'object');
|
|
|
|
let logit_bias = {};
|
|
const messageId = getNextMessageId(type);
|
|
const isClaude = oai_settings.chat_completion_source == chat_completion_sources.CLAUDE;
|
|
const isOpenRouter = oai_settings.chat_completion_source == chat_completion_sources.OPENROUTER;
|
|
const isScale = oai_settings.chat_completion_source == chat_completion_sources.SCALE;
|
|
const isGoogle = oai_settings.chat_completion_source == chat_completion_sources.MAKERSUITE;
|
|
const isOAI = oai_settings.chat_completion_source == chat_completion_sources.OPENAI;
|
|
const isMistral = oai_settings.chat_completion_source == chat_completion_sources.MISTRALAI;
|
|
const isCustom = oai_settings.chat_completion_source == chat_completion_sources.CUSTOM;
|
|
const isCohere = oai_settings.chat_completion_source == chat_completion_sources.COHERE;
|
|
const isPerplexity = oai_settings.chat_completion_source == chat_completion_sources.PERPLEXITY;
|
|
const isGroq = oai_settings.chat_completion_source == chat_completion_sources.GROQ;
|
|
const is01AI = oai_settings.chat_completion_source == chat_completion_sources.ZEROONEAI;
|
|
const isTextCompletion = (isOAI && textCompletionModels.includes(oai_settings.openai_model)) || (isOpenRouter && oai_settings.openrouter_force_instruct && power_user.instruct.enabled);
|
|
const isQuiet = type === 'quiet';
|
|
const isImpersonate = type === 'impersonate';
|
|
const isContinue = type === 'continue';
|
|
const stream = oai_settings.stream_openai && !isQuiet && !isScale && !(isGoogle && oai_settings.google_model.includes('bison')) && !(isOAI && oai_settings.openai_model.startsWith('o1-'));
|
|
const useLogprobs = !!power_user.request_token_probabilities;
|
|
const canMultiSwipe = oai_settings.n > 1 && !isContinue && !isImpersonate && !isQuiet && (isOAI || isCustom);
|
|
|
|
if (isTextCompletion && isOpenRouter) {
|
|
messages = convertChatCompletionToInstruct(messages, type);
|
|
replaceItemizedPromptText(messageId, messages);
|
|
}
|
|
|
|
// If we're using the window.ai extension, use that instead
|
|
// Doesn't support logit bias yet
|
|
if (oai_settings.chat_completion_source == chat_completion_sources.WINDOWAI) {
|
|
return sendWindowAIRequest(messages, signal, stream);
|
|
}
|
|
|
|
const logitBiasSources = [chat_completion_sources.OPENAI, chat_completion_sources.OPENROUTER, chat_completion_sources.SCALE, chat_completion_sources.CUSTOM];
|
|
if (oai_settings.bias_preset_selected
|
|
&& logitBiasSources.includes(oai_settings.chat_completion_source)
|
|
&& Array.isArray(oai_settings.bias_presets[oai_settings.bias_preset_selected])
|
|
&& oai_settings.bias_presets[oai_settings.bias_preset_selected].length) {
|
|
logit_bias = biasCache || await calculateLogitBias();
|
|
biasCache = logit_bias;
|
|
}
|
|
|
|
if (isScale && oai_settings.use_alt_scale) {
|
|
return sendAltScaleRequest(messages, logit_bias, signal, type);
|
|
}
|
|
|
|
const model = getChatCompletionModel();
|
|
const generate_data = {
|
|
'messages': messages,
|
|
'model': model,
|
|
'temperature': Number(oai_settings.temp_openai),
|
|
'frequency_penalty': Number(oai_settings.freq_pen_openai),
|
|
'presence_penalty': Number(oai_settings.pres_pen_openai),
|
|
'top_p': Number(oai_settings.top_p_openai),
|
|
'max_tokens': oai_settings.openai_max_tokens,
|
|
'stream': stream,
|
|
'logit_bias': logit_bias,
|
|
'stop': getCustomStoppingStrings(openai_max_stop_strings),
|
|
'chat_completion_source': oai_settings.chat_completion_source,
|
|
'n': canMultiSwipe ? oai_settings.n : undefined,
|
|
'user_name': name1,
|
|
'char_name': name2,
|
|
};
|
|
|
|
// Empty array will produce a validation error
|
|
if (!Array.isArray(generate_data.stop) || !generate_data.stop.length) {
|
|
delete generate_data.stop;
|
|
}
|
|
|
|
// Proxy is only supported for Claude, OpenAI, Mistral, and Google MakerSuite
|
|
if (oai_settings.reverse_proxy && [chat_completion_sources.CLAUDE, chat_completion_sources.OPENAI, chat_completion_sources.MISTRALAI, chat_completion_sources.MAKERSUITE].includes(oai_settings.chat_completion_source)) {
|
|
await validateReverseProxy();
|
|
generate_data['reverse_proxy'] = oai_settings.reverse_proxy;
|
|
generate_data['proxy_password'] = oai_settings.proxy_password;
|
|
}
|
|
|
|
// Add logprobs request (currently OpenAI only, max 5 on their side)
|
|
if (useLogprobs && (isOAI || isCustom)) {
|
|
generate_data['logprobs'] = 5;
|
|
}
|
|
|
|
// Remove logit bias, logprobs and stop strings if it's not supported by the model
|
|
if (isOAI && oai_settings.openai_model.includes('vision') || isOpenRouter && oai_settings.openrouter_model.includes('vision')) {
|
|
delete generate_data.logit_bias;
|
|
delete generate_data.stop;
|
|
delete generate_data.logprobs;
|
|
}
|
|
|
|
if (isClaude) {
|
|
generate_data['top_k'] = Number(oai_settings.top_k_openai);
|
|
generate_data['claude_use_sysprompt'] = oai_settings.claude_use_sysprompt;
|
|
generate_data['stop'] = getCustomStoppingStrings(); // Claude shouldn't have limits on stop strings.
|
|
generate_data['human_sysprompt_message'] = substituteParams(oai_settings.human_sysprompt_message);
|
|
// Don't add a prefill on quiet gens (summarization)
|
|
if (!isQuiet) {
|
|
generate_data['assistant_prefill'] = isImpersonate ? substituteParams(oai_settings.assistant_impersonation) : substituteParams(oai_settings.assistant_prefill);
|
|
}
|
|
}
|
|
|
|
if (isOpenRouter) {
|
|
generate_data['top_k'] = Number(oai_settings.top_k_openai);
|
|
generate_data['min_p'] = Number(oai_settings.min_p_openai);
|
|
generate_data['repetition_penalty'] = Number(oai_settings.repetition_penalty_openai);
|
|
generate_data['top_a'] = Number(oai_settings.top_a_openai);
|
|
generate_data['use_fallback'] = oai_settings.openrouter_use_fallback;
|
|
generate_data['provider'] = oai_settings.openrouter_providers;
|
|
generate_data['allow_fallbacks'] = oai_settings.openrouter_allow_fallbacks;
|
|
|
|
if (isTextCompletion) {
|
|
generate_data['stop'] = getStoppingStrings(isImpersonate, isContinue);
|
|
}
|
|
}
|
|
|
|
if (isScale) {
|
|
generate_data['api_url_scale'] = oai_settings.api_url_scale;
|
|
}
|
|
|
|
if (isGoogle) {
|
|
const nameStopString = isImpersonate ? `\n${name2}:` : `\n${name1}:`;
|
|
const stopStringsLimit = 3; // 5 - 2 (nameStopString and new_chat_prompt)
|
|
generate_data['top_k'] = Number(oai_settings.top_k_openai);
|
|
generate_data['stop'] = [nameStopString, substituteParams(oai_settings.new_chat_prompt), ...getCustomStoppingStrings(stopStringsLimit)];
|
|
generate_data['use_makersuite_sysprompt'] = oai_settings.use_makersuite_sysprompt;
|
|
}
|
|
|
|
if (isMistral) {
|
|
generate_data['safe_prompt'] = false; // already defaults to false, but just incase they change that in the future.
|
|
}
|
|
|
|
if (isCustom) {
|
|
generate_data['custom_url'] = oai_settings.custom_url;
|
|
generate_data['custom_include_body'] = oai_settings.custom_include_body;
|
|
generate_data['custom_exclude_body'] = oai_settings.custom_exclude_body;
|
|
generate_data['custom_include_headers'] = oai_settings.custom_include_headers;
|
|
generate_data['custom_prompt_post_processing'] = oai_settings.custom_prompt_post_processing;
|
|
}
|
|
|
|
if (isCohere) {
|
|
// Clamp to 0.01 -> 0.99
|
|
generate_data['top_p'] = Math.min(Math.max(Number(oai_settings.top_p_openai), 0.01), 0.99);
|
|
generate_data['top_k'] = Number(oai_settings.top_k_openai);
|
|
// Clamp to 0 -> 1
|
|
generate_data['frequency_penalty'] = Math.min(Math.max(Number(oai_settings.freq_pen_openai), 0), 1);
|
|
generate_data['presence_penalty'] = Math.min(Math.max(Number(oai_settings.pres_pen_openai), 0), 1);
|
|
generate_data['stop'] = getCustomStoppingStrings(5);
|
|
generate_data['websearch'] = oai_settings.websearch_cohere;
|
|
}
|
|
|
|
if (isPerplexity) {
|
|
generate_data['top_k'] = Number(oai_settings.top_k_openai);
|
|
// Normalize values. 1 == disabled. 0 == is usual disabled state in OpenAI.
|
|
generate_data['frequency_penalty'] = Math.max(0, Number(oai_settings.freq_pen_openai)) + 1;
|
|
generate_data['presence_penalty'] = Number(oai_settings.pres_pen_openai);
|
|
|
|
// YEAH BRO JUST USE OPENAI CLIENT BRO
|
|
delete generate_data['stop'];
|
|
}
|
|
|
|
// https://console.groq.com/docs/openai
|
|
if (isGroq) {
|
|
delete generate_data.logprobs;
|
|
delete generate_data.logit_bias;
|
|
delete generate_data.top_logprobs;
|
|
delete generate_data.n;
|
|
}
|
|
|
|
// https://platform.01.ai/docs#request-body
|
|
if (is01AI) {
|
|
delete generate_data.logprobs;
|
|
delete generate_data.logit_bias;
|
|
delete generate_data.top_logprobs;
|
|
delete generate_data.n;
|
|
delete generate_data.frequency_penalty;
|
|
delete generate_data.presence_penalty;
|
|
delete generate_data.stop;
|
|
}
|
|
|
|
if ((isOAI || isOpenRouter || isMistral || isCustom || isCohere) && oai_settings.seed >= 0) {
|
|
generate_data['seed'] = oai_settings.seed;
|
|
}
|
|
|
|
if (isFunctionCallingSupported() && !stream) {
|
|
await registerFunctionTools(type, generate_data);
|
|
}
|
|
|
|
if (isOAI && oai_settings.openai_model.startsWith('o1-')) {
|
|
generate_data.messages.forEach((msg) => {
|
|
if (msg.role === 'system') {
|
|
msg.role = 'user';
|
|
}
|
|
});
|
|
generate_data.max_completion_tokens = generate_data.max_tokens;
|
|
delete generate_data.max_tokens;
|
|
delete generate_data.stream;
|
|
delete generate_data.logprobs;
|
|
delete generate_data.top_logprobs;
|
|
delete generate_data.n;
|
|
delete generate_data.temperature;
|
|
delete generate_data.top_p;
|
|
delete generate_data.frequency_penalty;
|
|
delete generate_data.presence_penalty;
|
|
delete generate_data.tools;
|
|
delete generate_data.tool_choice;
|
|
delete generate_data.stop;
|
|
// It does support logit_bias, but the tokenizer used and its effect is yet unknown.
|
|
// delete generate_data.logit_bias;
|
|
}
|
|
|
|
await eventSource.emit(event_types.CHAT_COMPLETION_SETTINGS_READY, generate_data);
|
|
|
|
const generate_url = '/api/backends/chat-completions/generate';
|
|
const response = await fetch(generate_url, {
|
|
method: 'POST',
|
|
body: JSON.stringify(generate_data),
|
|
headers: getRequestHeaders(),
|
|
signal: signal,
|
|
});
|
|
|
|
if (!response.ok) {
|
|
tryParseStreamingError(response, await response.text());
|
|
throw new Error(`Got response status ${response.status}`);
|
|
}
|
|
if (stream) {
|
|
const eventStream = getEventSourceStream();
|
|
response.body.pipeThrough(eventStream);
|
|
const reader = eventStream.readable.getReader();
|
|
return async function* streamData() {
|
|
let text = '';
|
|
const swipes = [];
|
|
while (true) {
|
|
const { done, value } = await reader.read();
|
|
if (done) return;
|
|
const rawData = value.data;
|
|
if (rawData === '[DONE]') return;
|
|
tryParseStreamingError(response, rawData);
|
|
const parsed = JSON.parse(rawData);
|
|
|
|
if (Array.isArray(parsed?.choices) && parsed?.choices?.[0]?.index > 0) {
|
|
const swipeIndex = parsed.choices[0].index - 1;
|
|
swipes[swipeIndex] = (swipes[swipeIndex] || '') + getStreamingReply(parsed);
|
|
} else {
|
|
text += getStreamingReply(parsed);
|
|
}
|
|
|
|
yield { text, swipes: swipes, logprobs: parseChatCompletionLogprobs(parsed) };
|
|
}
|
|
};
|
|
}
|
|
else {
|
|
const data = await response.json();
|
|
|
|
checkQuotaError(data);
|
|
checkModerationError(data);
|
|
|
|
if (data.error) {
|
|
toastr.error(data.error.message || response.statusText, 'API returned an error');
|
|
throw new Error(data);
|
|
}
|
|
|
|
if (type !== 'quiet') {
|
|
const logprobs = parseChatCompletionLogprobs(data);
|
|
// Delay is required to allow the active message to be updated to
|
|
// the one we are generating (happens right after sendOpenAIRequest)
|
|
delay(1).then(() => saveLogprobsForActiveMessage(logprobs, null));
|
|
}
|
|
|
|
if (isFunctionCallingSupported()) {
|
|
await checkFunctionToolCalls(data);
|
|
}
|
|
|
|
return data;
|
|
}
|
|
}
|
|
|
|
/**
|
|
* Register function tools for the next chat completion request.
|
|
* @param {string} type Generation type
|
|
* @param {object} data Generation data
|
|
*/
|
|
async function registerFunctionTools(type, data) {
|
|
let toolChoice = 'auto';
|
|
const tools = [];
|
|
|
|
/**
|
|
* @type {registerFunctionTool}
|
|
*/
|
|
const registerFunctionTool = (name, description, parameters, required) => {
|
|
tools.push({
|
|
type: 'function',
|
|
function: {
|
|
name,
|
|
description,
|
|
parameters,
|
|
},
|
|
});
|
|
|
|
if (required) {
|
|
toolChoice = 'required';
|
|
}
|
|
};
|
|
|
|
/**
|
|
* @type {FunctionToolRegister}
|
|
*/
|
|
const args = {
|
|
type,
|
|
data,
|
|
registerFunctionTool,
|
|
};
|
|
|
|
await eventSource.emit(event_types.LLM_FUNCTION_TOOL_REGISTER, args);
|
|
|
|
if (tools.length) {
|
|
console.log('Registered function tools:', tools);
|
|
|
|
data['tools'] = tools;
|
|
data['tool_choice'] = toolChoice;
|
|
}
|
|
}
|
|
|
|
async function checkFunctionToolCalls(data) {
|
|
const oaiCompat = [
|
|
chat_completion_sources.OPENAI,
|
|
chat_completion_sources.CUSTOM,
|
|
chat_completion_sources.MISTRALAI,
|
|
chat_completion_sources.OPENROUTER,
|
|
chat_completion_sources.GROQ,
|
|
];
|
|
if (oaiCompat.includes(oai_settings.chat_completion_source)) {
|
|
if (!Array.isArray(data?.choices)) {
|
|
return;
|
|
}
|
|
|
|
// Find a choice with 0-index
|
|
const choice = data.choices.find(choice => choice.index === 0);
|
|
|
|
if (!choice) {
|
|
return;
|
|
}
|
|
|
|
const toolCalls = choice.message.tool_calls;
|
|
|
|
if (!Array.isArray(toolCalls)) {
|
|
return;
|
|
}
|
|
|
|
for (const toolCall of toolCalls) {
|
|
if (typeof toolCall.function !== 'object') {
|
|
continue;
|
|
}
|
|
|
|
/** @type {FunctionToolCall} */
|
|
const args = toolCall.function;
|
|
console.log('Function tool call:', toolCall);
|
|
await eventSource.emit(event_types.LLM_FUNCTION_TOOL_CALL, args);
|
|
}
|
|
}
|
|
|
|
if ([chat_completion_sources.CLAUDE].includes(oai_settings.chat_completion_source)) {
|
|
if (!Array.isArray(data?.content)) {
|
|
return;
|
|
}
|
|
|
|
for (const content of data.content) {
|
|
if (content.type === 'tool_use') {
|
|
/** @type {FunctionToolCall} */
|
|
const args = { name: content.name, arguments: JSON.stringify(content.input) };
|
|
await eventSource.emit(event_types.LLM_FUNCTION_TOOL_CALL, args);
|
|
}
|
|
}
|
|
}
|
|
|
|
if ([chat_completion_sources.COHERE].includes(oai_settings.chat_completion_source)) {
|
|
if (!Array.isArray(data?.tool_calls)) {
|
|
return;
|
|
}
|
|
|
|
for (const toolCall of data.tool_calls) {
|
|
/** @type {FunctionToolCall} */
|
|
const args = { name: toolCall.name, arguments: JSON.stringify(toolCall.parameters) };
|
|
console.log('Function tool call:', toolCall);
|
|
await eventSource.emit(event_types.LLM_FUNCTION_TOOL_CALL, args);
|
|
}
|
|
}
|
|
}
|
|
|
|
export function isFunctionCallingSupported() {
|
|
if (main_api !== 'openai') {
|
|
return false;
|
|
}
|
|
|
|
if (!oai_settings.function_calling) {
|
|
return false;
|
|
}
|
|
|
|
const supportedSources = [
|
|
chat_completion_sources.OPENAI,
|
|
chat_completion_sources.COHERE,
|
|
chat_completion_sources.CUSTOM,
|
|
chat_completion_sources.MISTRALAI,
|
|
chat_completion_sources.CLAUDE,
|
|
chat_completion_sources.OPENROUTER,
|
|
chat_completion_sources.GROQ,
|
|
];
|
|
return supportedSources.includes(oai_settings.chat_completion_source);
|
|
}
|
|
|
|
function getStreamingReply(data) {
|
|
if (oai_settings.chat_completion_source == chat_completion_sources.CLAUDE) {
|
|
return data?.delta?.text || '';
|
|
} else if (oai_settings.chat_completion_source == chat_completion_sources.MAKERSUITE) {
|
|
return data?.candidates?.[0]?.content?.parts?.[0]?.text || '';
|
|
} else {
|
|
return data.choices[0]?.delta?.content ?? data.choices[0]?.message?.content ?? data.choices[0]?.text ?? '';
|
|
}
|
|
}
|
|
|
|
/**
|
|
* parseChatCompletionLogprobs converts the response data returned from a chat
|
|
* completions-like source into an array of TokenLogprobs found in the response.
|
|
* @param {Object} data - response data from a chat completions-like source
|
|
* @returns {import('logprobs.js').TokenLogprobs[] | null} converted logprobs
|
|
*/
|
|
function parseChatCompletionLogprobs(data) {
|
|
if (!data) {
|
|
return null;
|
|
}
|
|
|
|
switch (oai_settings.chat_completion_source) {
|
|
case chat_completion_sources.OPENAI:
|
|
case chat_completion_sources.CUSTOM:
|
|
if (!data.choices?.length) {
|
|
return null;
|
|
}
|
|
// OpenAI Text Completion API is treated as a chat completion source
|
|
// by SillyTavern, hence its presence in this function.
|
|
return textCompletionModels.includes(oai_settings.openai_model)
|
|
? parseOpenAITextLogprobs(data.choices[0]?.logprobs)
|
|
: parseOpenAIChatLogprobs(data.choices[0]?.logprobs);
|
|
default:
|
|
// implement other chat completion sources here
|
|
}
|
|
return null;
|
|
}
|
|
|
|
/**
|
|
* parseOpenAIChatLogprobs receives a `logprobs` response from OpenAI's chat
|
|
* completion API and converts into the structure used by the Token Probabilities
|
|
* view.
|
|
* @param {{content: { token: string, logprob: number, top_logprobs: { token: string, logprob: number }[] }[]}} logprobs
|
|
* @returns {import('logprobs.js').TokenLogprobs[] | null} converted logprobs
|
|
*/
|
|
function parseOpenAIChatLogprobs(logprobs) {
|
|
const { content } = logprobs ?? {};
|
|
|
|
if (!Array.isArray(content)) {
|
|
return null;
|
|
}
|
|
|
|
/** @type {({ token: string, logprob: number }) => [string, number]} */
|
|
const toTuple = (x) => [x.token, x.logprob];
|
|
|
|
return content.map(({ token, logprob, top_logprobs }) => {
|
|
// Add the chosen token to top_logprobs if it's not already there, then
|
|
// convert to a list of [token, logprob] pairs
|
|
const chosenTopToken = top_logprobs.some((top) => token === top.token);
|
|
const topLogprobs = chosenTopToken
|
|
? top_logprobs.map(toTuple)
|
|
: [...top_logprobs.map(toTuple), [token, logprob]];
|
|
return { token, topLogprobs };
|
|
});
|
|
}
|
|
|
|
/**
|
|
* parseOpenAITextLogprobs receives a `logprobs` response from OpenAI's text
|
|
* completion API and converts into the structure used by the Token Probabilities
|
|
* view.
|
|
* @param {{tokens: string[], token_logprobs: number[], top_logprobs: { token: string, logprob: number }[][]}} logprobs
|
|
* @returns {import('logprobs.js').TokenLogprobs[] | null} converted logprobs
|
|
*/
|
|
function parseOpenAITextLogprobs(logprobs) {
|
|
const { tokens, token_logprobs, top_logprobs } = logprobs ?? {};
|
|
|
|
if (!Array.isArray(tokens)) {
|
|
return null;
|
|
}
|
|
|
|
return tokens.map((token, i) => {
|
|
// Add the chosen token to top_logprobs if it's not already there, then
|
|
// convert to a list of [token, logprob] pairs
|
|
const topLogprobs = top_logprobs[i] ? Object.entries(top_logprobs[i]) : [];
|
|
const chosenTopToken = topLogprobs.some(([topToken]) => token === topToken);
|
|
if (!chosenTopToken) {
|
|
topLogprobs.push([token, token_logprobs[i]]);
|
|
}
|
|
return { token, topLogprobs };
|
|
});
|
|
}
|
|
|
|
|
|
function handleWindowError(err) {
|
|
const text = parseWindowError(err);
|
|
toastr.error(text, 'Window.ai returned an error');
|
|
throw err;
|
|
}
|
|
|
|
function parseWindowError(err) {
|
|
let text = 'Unknown error';
|
|
|
|
switch (err) {
|
|
case 'NOT_AUTHENTICATED':
|
|
text = 'Incorrect API key / auth';
|
|
break;
|
|
case 'MODEL_REJECTED_REQUEST':
|
|
text = 'AI model refused to fulfill a request';
|
|
break;
|
|
case 'PERMISSION_DENIED':
|
|
text = 'User denied permission to the app';
|
|
break;
|
|
case 'REQUEST_NOT_FOUND':
|
|
text = 'Permission request popup timed out';
|
|
break;
|
|
case 'INVALID_REQUEST':
|
|
text = 'Malformed request';
|
|
break;
|
|
}
|
|
|
|
return text;
|
|
}
|
|
|
|
async function calculateLogitBias() {
|
|
const body = JSON.stringify(oai_settings.bias_presets[oai_settings.bias_preset_selected]);
|
|
let result = {};
|
|
|
|
try {
|
|
const reply = await fetch(`/api/backends/chat-completions/bias?model=${getTokenizerModel()}`, {
|
|
method: 'POST',
|
|
headers: getRequestHeaders(),
|
|
body,
|
|
});
|
|
|
|
result = await reply.json();
|
|
}
|
|
catch (err) {
|
|
result = {};
|
|
console.error(err);
|
|
}
|
|
return result;
|
|
}
|
|
|
|
class TokenHandler {
|
|
constructor(countTokenFn) {
|
|
this.countTokenFn = countTokenFn;
|
|
this.counts = {
|
|
'start_chat': 0,
|
|
'prompt': 0,
|
|
'bias': 0,
|
|
'nudge': 0,
|
|
'jailbreak': 0,
|
|
'impersonate': 0,
|
|
'examples': 0,
|
|
'conversation': 0,
|
|
};
|
|
}
|
|
|
|
getCounts() {
|
|
return this.counts;
|
|
}
|
|
|
|
resetCounts() {
|
|
Object.keys(this.counts).forEach((key) => this.counts[key] = 0);
|
|
}
|
|
|
|
setCounts(counts) {
|
|
this.counts = counts;
|
|
}
|
|
|
|
uncount(value, type) {
|
|
this.counts[type] -= value;
|
|
}
|
|
|
|
count(messages, full, type) {
|
|
const token_count = this.countTokenFn(messages, full);
|
|
this.counts[type] += token_count;
|
|
|
|
return token_count;
|
|
}
|
|
|
|
getTokensForIdentifier(identifier) {
|
|
return this.counts[identifier] ?? 0;
|
|
}
|
|
|
|
getTotal() {
|
|
return Object.values(this.counts).reduce((a, b) => a + (isNaN(b) ? 0 : b), 0);
|
|
}
|
|
|
|
log() {
|
|
console.table({ ...this.counts, 'total': this.getTotal() });
|
|
}
|
|
}
|
|
|
|
|
|
const tokenHandler = new TokenHandler(countTokensOpenAI);
|
|
|
|
// Thrown by ChatCompletion when a requested prompt couldn't be found.
|
|
class IdentifierNotFoundError extends Error {
|
|
constructor(identifier) {
|
|
super(`Identifier ${identifier} not found.`);
|
|
this.name = 'IdentifierNotFoundError';
|
|
}
|
|
}
|
|
|
|
// Thrown by ChatCompletion when the token budget is unexpectedly exceeded
|
|
class TokenBudgetExceededError extends Error {
|
|
constructor(identifier = '') {
|
|
super(`Token budged exceeded. Message: ${identifier}`);
|
|
this.name = 'TokenBudgetExceeded';
|
|
}
|
|
}
|
|
|
|
// Thrown when a character name is invalid
|
|
class InvalidCharacterNameError extends Error {
|
|
constructor(identifier = '') {
|
|
super(`Invalid character name. Message: ${identifier}`);
|
|
this.name = 'InvalidCharacterName';
|
|
}
|
|
}
|
|
|
|
/**
|
|
* Used for creating, managing, and interacting with a specific message object.
|
|
*/
|
|
class Message {
|
|
static tokensPerImage = 85;
|
|
|
|
/** @type {number} */
|
|
tokens;
|
|
/** @type {string} */
|
|
identifier;
|
|
/** @type {string} */
|
|
role;
|
|
/** @type {string|any[]} */
|
|
content;
|
|
/** @type {string} */
|
|
name;
|
|
|
|
/**
|
|
* @constructor
|
|
* @param {string} role - The role of the entity creating the message.
|
|
* @param {string} content - The actual content of the message.
|
|
* @param {string} identifier - A unique identifier for the message.
|
|
*/
|
|
constructor(role, content, identifier) {
|
|
this.identifier = identifier;
|
|
this.role = role;
|
|
this.content = content;
|
|
|
|
if (!this.role) {
|
|
console.log(`Message role not set, defaulting to 'system' for identifier '${this.identifier}'`);
|
|
this.role = 'system';
|
|
}
|
|
|
|
if (typeof this.content === 'string' && this.content.length > 0) {
|
|
this.tokens = tokenHandler.count({ role: this.role, content: this.content });
|
|
} else {
|
|
this.tokens = 0;
|
|
}
|
|
}
|
|
|
|
setName(name) {
|
|
this.name = name;
|
|
this.tokens = tokenHandler.count({ role: this.role, content: this.content, name: this.name });
|
|
}
|
|
|
|
async addImage(image) {
|
|
const textContent = this.content;
|
|
const isDataUrl = isDataURL(image);
|
|
if (!isDataUrl) {
|
|
try {
|
|
const response = await fetch(image, { method: 'GET', cache: 'force-cache' });
|
|
if (!response.ok) throw new Error('Failed to fetch image');
|
|
const blob = await response.blob();
|
|
image = await getBase64Async(blob);
|
|
} catch (error) {
|
|
console.error('Image adding skipped', error);
|
|
return;
|
|
}
|
|
}
|
|
|
|
image = await this.compressImage(image);
|
|
|
|
const quality = oai_settings.inline_image_quality || default_settings.inline_image_quality;
|
|
this.content = [
|
|
{ type: 'text', text: textContent },
|
|
{ type: 'image_url', image_url: { 'url': image, 'detail': quality } },
|
|
];
|
|
|
|
try {
|
|
const tokens = await this.getImageTokenCost(image, quality);
|
|
this.tokens += tokens;
|
|
} catch (error) {
|
|
this.tokens += Message.tokensPerImage;
|
|
console.error('Failed to get image token cost', error);
|
|
}
|
|
}
|
|
|
|
/**
|
|
* Compress an image if it exceeds the size threshold for the current chat completion source.
|
|
* @param {string} image Data URL of the image.
|
|
* @returns {Promise<string>} Compressed image as a Data URL.
|
|
*/
|
|
async compressImage(image) {
|
|
if ([chat_completion_sources.OPENROUTER, chat_completion_sources.MAKERSUITE].includes(oai_settings.chat_completion_source)) {
|
|
const sizeThreshold = 2 * 1024 * 1024;
|
|
const dataSize = image.length * 0.75;
|
|
const maxSide = 1024;
|
|
if (dataSize > sizeThreshold) {
|
|
image = await createThumbnail(image, maxSide);
|
|
}
|
|
}
|
|
return image;
|
|
}
|
|
|
|
/**
|
|
* Get the token cost of an image.
|
|
* @param {string} dataUrl Data URL of the image.
|
|
* @param {string} quality String representing the quality of the image. Can be 'low', 'auto', or 'high'.
|
|
* @returns {Promise<number>} The token cost of the image.
|
|
*/
|
|
async getImageTokenCost(dataUrl, quality) {
|
|
if (quality === 'low') {
|
|
return Message.tokensPerImage;
|
|
}
|
|
|
|
const size = await getImageSizeFromDataURL(dataUrl);
|
|
|
|
// If the image is small enough, we can use the low quality token cost
|
|
if (quality === 'auto' && size.width <= 512 && size.height <= 512) {
|
|
return Message.tokensPerImage;
|
|
}
|
|
|
|
/*
|
|
* Images are first scaled to fit within a 2048 x 2048 square, maintaining their aspect ratio.
|
|
* Then, they are scaled such that the shortest side of the image is 768px long.
|
|
* Finally, we count how many 512px squares the image consists of.
|
|
* Each of those squares costs 170 tokens. Another 85 tokens are always added to the final total.
|
|
* https://platform.openai.com/docs/guides/vision/calculating-costs
|
|
*/
|
|
|
|
const scale = 2048 / Math.min(size.width, size.height);
|
|
const scaledWidth = Math.round(size.width * scale);
|
|
const scaledHeight = Math.round(size.height * scale);
|
|
|
|
const finalScale = 768 / Math.min(scaledWidth, scaledHeight);
|
|
const finalWidth = Math.round(scaledWidth * finalScale);
|
|
const finalHeight = Math.round(scaledHeight * finalScale);
|
|
|
|
const squares = Math.ceil(finalWidth / 512) * Math.ceil(finalHeight / 512);
|
|
const tokens = squares * 170 + 85;
|
|
return tokens;
|
|
}
|
|
|
|
/**
|
|
* Create a new Message instance from a prompt.
|
|
* @static
|
|
* @param {Object} prompt - The prompt object.
|
|
* @returns {Message} A new instance of Message.
|
|
*/
|
|
static fromPrompt(prompt) {
|
|
return new Message(prompt.role, prompt.content, prompt.identifier);
|
|
}
|
|
|
|
/**
|
|
* Returns the number of tokens in the message.
|
|
* @returns {number} Number of tokens in the message.
|
|
*/
|
|
getTokens() { return this.tokens; }
|
|
}
|
|
|
|
/**
|
|
* Used for creating, managing, and interacting with a collection of Message instances.
|
|
*
|
|
* @class MessageCollection
|
|
*/
|
|
class MessageCollection {
|
|
collection = [];
|
|
identifier;
|
|
|
|
/**
|
|
* @constructor
|
|
* @param {string} identifier - A unique identifier for the MessageCollection.
|
|
* @param {...Object} items - An array of Message or MessageCollection instances to be added to the collection.
|
|
*/
|
|
constructor(identifier, ...items) {
|
|
for (let item of items) {
|
|
if (!(item instanceof Message || item instanceof MessageCollection)) {
|
|
throw new Error('Only Message and MessageCollection instances can be added to MessageCollection');
|
|
}
|
|
}
|
|
|
|
this.collection.push(...items);
|
|
this.identifier = identifier;
|
|
}
|
|
|
|
/**
|
|
* Get chat in the format of {role, name, content}.
|
|
* @returns {Array} Array of objects with role, name, and content properties.
|
|
*/
|
|
getChat() {
|
|
return this.collection.reduce((acc, message) => {
|
|
const name = message.name;
|
|
if (message.content) acc.push({ role: message.role, ...(name && { name }), content: message.content });
|
|
return acc;
|
|
}, []);
|
|
}
|
|
|
|
/**
|
|
* Method to get the collection of messages.
|
|
* @returns {Array} The collection of Message instances.
|
|
*/
|
|
getCollection() {
|
|
return this.collection;
|
|
}
|
|
|
|
/**
|
|
* Add a new item to the collection.
|
|
* @param {Object} item - The Message or MessageCollection instance to be added.
|
|
*/
|
|
add(item) {
|
|
this.collection.push(item);
|
|
}
|
|
|
|
/**
|
|
* Get an item from the collection by its identifier.
|
|
* @param {string} identifier - The identifier of the item to be found.
|
|
* @returns {Object} The found item, or undefined if no item was found.
|
|
*/
|
|
getItemByIdentifier(identifier) {
|
|
return this.collection.find(item => item?.identifier === identifier);
|
|
}
|
|
|
|
/**
|
|
* Check if an item with the given identifier exists in the collection.
|
|
* @param {string} identifier - The identifier to check.
|
|
* @returns {boolean} True if an item with the given identifier exists, false otherwise.
|
|
*/
|
|
hasItemWithIdentifier(identifier) {
|
|
return this.collection.some(message => message.identifier === identifier);
|
|
}
|
|
|
|
/**
|
|
* Get the total number of tokens in the collection.
|
|
* @returns {number} The total number of tokens.
|
|
*/
|
|
getTokens() {
|
|
return this.collection.reduce((tokens, message) => tokens + message.getTokens(), 0);
|
|
}
|
|
|
|
/**
|
|
* Combines message collections into a single collection.
|
|
* @returns {Message[]} The collection of messages flattened into a single array.
|
|
*/
|
|
flatten() {
|
|
return this.collection.reduce((acc, message) => {
|
|
if (message instanceof MessageCollection) {
|
|
acc.push(...message.flatten());
|
|
} else {
|
|
acc.push(message);
|
|
}
|
|
return acc;
|
|
}, []);
|
|
}
|
|
}
|
|
|
|
/**
|
|
* OpenAI API chat completion representation
|
|
* const map = [{identifier: 'example', message: {role: 'system', content: 'exampleContent'}}, ...];
|
|
*
|
|
* This class creates a chat context that can be sent to Open AI's api
|
|
* Includes message management and token budgeting.
|
|
*
|
|
* @see https://platform.openai.com/docs/guides/gpt/chat-completions-api
|
|
*
|
|
*/
|
|
export class ChatCompletion {
|
|
|
|
/**
|
|
* Combines consecutive system messages into one if they have no name attached.
|
|
*/
|
|
squashSystemMessages() {
|
|
const excludeList = ['newMainChat', 'newChat', 'groupNudge'];
|
|
this.messages.collection = this.messages.flatten();
|
|
|
|
let lastMessage = null;
|
|
let squashedMessages = [];
|
|
|
|
for (let message of this.messages.collection) {
|
|
// Force exclude empty messages
|
|
if (message.role === 'system' && !message.content) {
|
|
continue;
|
|
}
|
|
|
|
const shouldSquash = (message) => {
|
|
return !excludeList.includes(message.identifier) && message.role === 'system' && !message.name;
|
|
};
|
|
|
|
if (shouldSquash(message)) {
|
|
if (lastMessage && shouldSquash(lastMessage)) {
|
|
lastMessage.content += '\n' + message.content;
|
|
lastMessage.tokens = tokenHandler.count({ role: lastMessage.role, content: lastMessage.content });
|
|
}
|
|
else {
|
|
squashedMessages.push(message);
|
|
lastMessage = message;
|
|
}
|
|
}
|
|
else {
|
|
squashedMessages.push(message);
|
|
lastMessage = message;
|
|
}
|
|
}
|
|
|
|
this.messages.collection = squashedMessages;
|
|
}
|
|
|
|
/**
|
|
* Initializes a new instance of ChatCompletion.
|
|
* Sets up the initial token budget and a new message collection.
|
|
*/
|
|
constructor() {
|
|
this.tokenBudget = 0;
|
|
this.messages = new MessageCollection('root');
|
|
this.loggingEnabled = false;
|
|
this.overriddenPrompts = [];
|
|
}
|
|
|
|
/**
|
|
* Retrieves all messages.
|
|
*
|
|
* @returns {MessageCollection} The MessageCollection instance holding all messages.
|
|
*/
|
|
getMessages() {
|
|
return this.messages;
|
|
}
|
|
|
|
/**
|
|
* Calculates and sets the token budget based on context and response.
|
|
*
|
|
* @param {number} context - Number of tokens in the context.
|
|
* @param {number} response - Number of tokens in the response.
|
|
*/
|
|
setTokenBudget(context, response) {
|
|
this.log(`Prompt tokens: ${context}`);
|
|
this.log(`Completion tokens: ${response}`);
|
|
|
|
this.tokenBudget = context - response;
|
|
|
|
this.log(`Token budget: ${this.tokenBudget}`);
|
|
}
|
|
|
|
/**
|
|
* Adds a message or message collection to the collection.
|
|
*
|
|
* @param {Message|MessageCollection} collection - The message or message collection to add.
|
|
* @param {number|null} position - The position at which to add the collection.
|
|
* @returns {ChatCompletion} The current instance for chaining.
|
|
*/
|
|
add(collection, position = null) {
|
|
this.validateMessageCollection(collection);
|
|
this.checkTokenBudget(collection, collection.identifier);
|
|
|
|
if (null !== position && -1 !== position) {
|
|
this.messages.collection[position] = collection;
|
|
} else {
|
|
this.messages.collection.push(collection);
|
|
}
|
|
|
|
this.decreaseTokenBudgetBy(collection.getTokens());
|
|
|
|
this.log(`Added ${collection.identifier}. Remaining tokens: ${this.tokenBudget}`);
|
|
|
|
return this;
|
|
}
|
|
|
|
/**
|
|
* Inserts a message at the start of the specified collection.
|
|
*
|
|
* @param {Message} message - The message to insert.
|
|
* @param {string} identifier - The identifier of the collection where to insert the message.
|
|
*/
|
|
insertAtStart(message, identifier) {
|
|
this.insert(message, identifier, 'start');
|
|
}
|
|
|
|
/**
|
|
* Inserts a message at the end of the specified collection.
|
|
*
|
|
* @param {Message} message - The message to insert.
|
|
* @param {string} identifier - The identifier of the collection where to insert the message.
|
|
*/
|
|
insertAtEnd(message, identifier) {
|
|
this.insert(message, identifier, 'end');
|
|
}
|
|
|
|
/**
|
|
* Inserts a message at the specified position in the specified collection.
|
|
*
|
|
* @param {Message} message - The message to insert.
|
|
* @param {string} identifier - The identifier of the collection where to insert the message.
|
|
* @param {string|number} position - The position at which to insert the message ('start' or 'end').
|
|
*/
|
|
insert(message, identifier, position = 'end') {
|
|
this.validateMessage(message);
|
|
this.checkTokenBudget(message, message.identifier);
|
|
|
|
const index = this.findMessageIndex(identifier);
|
|
if (message.content) {
|
|
if ('start' === position) this.messages.collection[index].collection.unshift(message);
|
|
else if ('end' === position) this.messages.collection[index].collection.push(message);
|
|
else if (typeof position === 'number') this.messages.collection[index].collection.splice(position, 0, message);
|
|
|
|
this.decreaseTokenBudgetBy(message.getTokens());
|
|
|
|
this.log(`Inserted ${message.identifier} into ${identifier}. Remaining tokens: ${this.tokenBudget}`);
|
|
}
|
|
}
|
|
|
|
/**
|
|
* Remove the last item of the collection
|
|
*
|
|
* @param identifier
|
|
*/
|
|
removeLastFrom(identifier) {
|
|
const index = this.findMessageIndex(identifier);
|
|
const message = this.messages.collection[index].collection.pop();
|
|
|
|
if (!message) {
|
|
this.log(`No message to remove from ${identifier}`);
|
|
return;
|
|
}
|
|
|
|
this.increaseTokenBudgetBy(message.getTokens());
|
|
|
|
this.log(`Removed ${message.identifier} from ${identifier}. Remaining tokens: ${this.tokenBudget}`);
|
|
}
|
|
|
|
/**
|
|
* Checks if the token budget can afford the tokens of the specified message.
|
|
*
|
|
* @param {Message} message - The message to check for affordability.
|
|
* @returns {boolean} True if the budget can afford the message, false otherwise.
|
|
*/
|
|
canAfford(message) {
|
|
return 0 <= this.tokenBudget - message.getTokens();
|
|
}
|
|
|
|
/**
|
|
* Checks if a message with the specified identifier exists in the collection.
|
|
*
|
|
* @param {string} identifier - The identifier to check for existence.
|
|
* @returns {boolean} True if a message with the specified identifier exists, false otherwise.
|
|
*/
|
|
has(identifier) {
|
|
return this.messages.hasItemWithIdentifier(identifier);
|
|
}
|
|
|
|
/**
|
|
* Retrieves the total number of tokens in the collection.
|
|
*
|
|
* @returns {number} The total number of tokens.
|
|
*/
|
|
getTotalTokenCount() {
|
|
return this.messages.getTokens();
|
|
}
|
|
|
|
/**
|
|
* Retrieves the chat as a flattened array of messages.
|
|
*
|
|
* @returns {Array} The chat messages.
|
|
*/
|
|
getChat() {
|
|
const chat = [];
|
|
for (let item of this.messages.collection) {
|
|
if (item instanceof MessageCollection) {
|
|
chat.push(...item.getChat());
|
|
} else if (item instanceof Message && item.content) {
|
|
const message = { role: item.role, content: item.content, ...(item.name ? { name: item.name } : {}) };
|
|
chat.push(message);
|
|
} else {
|
|
console.warn('Invalid message in collection', item);
|
|
}
|
|
}
|
|
return chat;
|
|
}
|
|
|
|
/**
|
|
* Logs an output message to the console if logging is enabled.
|
|
*
|
|
* @param {string} output - The output message to log.
|
|
*/
|
|
log(output) {
|
|
if (this.loggingEnabled) console.log('[ChatCompletion] ' + output);
|
|
}
|
|
|
|
/**
|
|
* Enables logging of output messages to the console.
|
|
*/
|
|
enableLogging() {
|
|
this.loggingEnabled = true;
|
|
}
|
|
|
|
/**
|
|
* Disables logging of output messages to the console.
|
|
*/
|
|
disableLogging() {
|
|
this.loggingEnabled = false;
|
|
}
|
|
|
|
/**
|
|
* Validates if the given argument is an instance of MessageCollection.
|
|
* Throws an error if the validation fails.
|
|
*
|
|
* @param {MessageCollection} collection - The collection to validate.
|
|
*/
|
|
validateMessageCollection(collection) {
|
|
if (!(collection instanceof MessageCollection)) {
|
|
console.log(collection);
|
|
throw new Error('Argument must be an instance of MessageCollection');
|
|
}
|
|
}
|
|
|
|
/**
|
|
* Validates if the given argument is an instance of Message.
|
|
* Throws an error if the validation fails.
|
|
*
|
|
* @param {Message} message - The message to validate.
|
|
*/
|
|
validateMessage(message) {
|
|
if (!(message instanceof Message)) {
|
|
console.log(message);
|
|
throw new Error('Argument must be an instance of Message');
|
|
}
|
|
}
|
|
|
|
/**
|
|
* Checks if the token budget can afford the tokens of the given message.
|
|
* Throws an error if the budget can't afford the message.
|
|
*
|
|
* @param {Message} message - The message to check.
|
|
* @param {string} identifier - The identifier of the message.
|
|
*/
|
|
checkTokenBudget(message, identifier) {
|
|
if (!this.canAfford(message)) {
|
|
throw new TokenBudgetExceededError(identifier);
|
|
}
|
|
}
|
|
|
|
/**
|
|
* Reserves the tokens required by the given message from the token budget.
|
|
*
|
|
* @param {Message|MessageCollection|number} message - The message whose tokens to reserve.
|
|
*/
|
|
reserveBudget(message) {
|
|
const tokens = typeof message === 'number' ? message : message.getTokens();
|
|
this.decreaseTokenBudgetBy(tokens);
|
|
}
|
|
|
|
/**
|
|
* Frees up the tokens used by the given message from the token budget.
|
|
*
|
|
* @param {Message|MessageCollection} message - The message whose tokens to free.
|
|
*/
|
|
freeBudget(message) { this.increaseTokenBudgetBy(message.getTokens()); }
|
|
|
|
/**
|
|
* Increases the token budget by the given number of tokens.
|
|
* This function should be used sparingly, per design the completion should be able to work with its initial budget.
|
|
*
|
|
* @param {number} tokens - The number of tokens to increase the budget by.
|
|
*/
|
|
increaseTokenBudgetBy(tokens) {
|
|
this.tokenBudget += tokens;
|
|
}
|
|
|
|
/**
|
|
* Decreases the token budget by the given number of tokens.
|
|
* This function should be used sparingly, per design the completion should be able to work with its initial budget.
|
|
*
|
|
* @param {number} tokens - The number of tokens to decrease the budget by.
|
|
*/
|
|
decreaseTokenBudgetBy(tokens) {
|
|
this.tokenBudget -= tokens;
|
|
}
|
|
|
|
/**
|
|
* Finds the index of a message in the collection by its identifier.
|
|
* Throws an error if a message with the given identifier is not found.
|
|
*
|
|
* @param {string} identifier - The identifier of the message to find.
|
|
* @returns {number} The index of the message in the collection.
|
|
*/
|
|
findMessageIndex(identifier) {
|
|
const index = this.messages.collection.findIndex(item => item?.identifier === identifier);
|
|
if (index < 0) {
|
|
throw new IdentifierNotFoundError(identifier);
|
|
}
|
|
return index;
|
|
}
|
|
|
|
/**
|
|
* Sets the list of overridden prompts.
|
|
* @param {string[]} list A list of prompts that were overridden.
|
|
*/
|
|
setOverriddenPrompts(list) {
|
|
this.overriddenPrompts = list;
|
|
}
|
|
|
|
getOverriddenPrompts() {
|
|
return this.overriddenPrompts ?? [];
|
|
}
|
|
}
|
|
|
|
function loadOpenAISettings(data, settings) {
|
|
openai_setting_names = data.openai_setting_names;
|
|
openai_settings = data.openai_settings;
|
|
openai_settings.forEach(function (item, i, arr) {
|
|
openai_settings[i] = JSON.parse(item);
|
|
});
|
|
|
|
$('#settings_preset_openai').empty();
|
|
let arr_holder = {};
|
|
openai_setting_names.forEach(function (item, i, arr) {
|
|
arr_holder[item] = i;
|
|
$('#settings_preset_openai').append(`<option value=${i}>${item}</option>`);
|
|
|
|
});
|
|
openai_setting_names = arr_holder;
|
|
|
|
oai_settings.preset_settings_openai = settings.preset_settings_openai;
|
|
$(`#settings_preset_openai option[value=${openai_setting_names[oai_settings.preset_settings_openai]}]`).attr('selected', true);
|
|
|
|
oai_settings.temp_openai = settings.temp_openai ?? default_settings.temp_openai;
|
|
oai_settings.freq_pen_openai = settings.freq_pen_openai ?? default_settings.freq_pen_openai;
|
|
oai_settings.pres_pen_openai = settings.pres_pen_openai ?? default_settings.pres_pen_openai;
|
|
oai_settings.top_p_openai = settings.top_p_openai ?? default_settings.top_p_openai;
|
|
oai_settings.top_k_openai = settings.top_k_openai ?? default_settings.top_k_openai;
|
|
oai_settings.top_a_openai = settings.top_a_openai ?? default_settings.top_a_openai;
|
|
oai_settings.min_p_openai = settings.min_p_openai ?? default_settings.min_p_openai;
|
|
oai_settings.repetition_penalty_openai = settings.repetition_penalty_openai ?? default_settings.repetition_penalty_openai;
|
|
oai_settings.stream_openai = settings.stream_openai ?? default_settings.stream_openai;
|
|
oai_settings.websearch_cohere = settings.websearch_cohere ?? default_settings.websearch_cohere;
|
|
oai_settings.openai_max_context = settings.openai_max_context ?? default_settings.openai_max_context;
|
|
oai_settings.openai_max_tokens = settings.openai_max_tokens ?? default_settings.openai_max_tokens;
|
|
oai_settings.bias_preset_selected = settings.bias_preset_selected ?? default_settings.bias_preset_selected;
|
|
oai_settings.bias_presets = settings.bias_presets ?? default_settings.bias_presets;
|
|
oai_settings.max_context_unlocked = settings.max_context_unlocked ?? default_settings.max_context_unlocked;
|
|
oai_settings.send_if_empty = settings.send_if_empty ?? default_settings.send_if_empty;
|
|
oai_settings.wi_format = settings.wi_format ?? default_settings.wi_format;
|
|
oai_settings.scenario_format = settings.scenario_format ?? default_settings.scenario_format;
|
|
oai_settings.personality_format = settings.personality_format ?? default_settings.personality_format;
|
|
oai_settings.group_nudge_prompt = settings.group_nudge_prompt ?? default_settings.group_nudge_prompt;
|
|
oai_settings.claude_model = settings.claude_model ?? default_settings.claude_model;
|
|
oai_settings.windowai_model = settings.windowai_model ?? default_settings.windowai_model;
|
|
oai_settings.openrouter_model = settings.openrouter_model ?? default_settings.openrouter_model;
|
|
oai_settings.openrouter_group_models = settings.openrouter_group_models ?? default_settings.openrouter_group_models;
|
|
oai_settings.openrouter_sort_models = settings.openrouter_sort_models ?? default_settings.openrouter_sort_models;
|
|
oai_settings.openrouter_use_fallback = settings.openrouter_use_fallback ?? default_settings.openrouter_use_fallback;
|
|
oai_settings.openrouter_force_instruct = settings.openrouter_force_instruct ?? default_settings.openrouter_force_instruct;
|
|
oai_settings.openrouter_allow_fallbacks = settings.openrouter_allow_fallbacks ?? default_settings.openrouter_allow_fallbacks;
|
|
oai_settings.ai21_model = settings.ai21_model ?? default_settings.ai21_model;
|
|
oai_settings.mistralai_model = settings.mistralai_model ?? default_settings.mistralai_model;
|
|
oai_settings.cohere_model = settings.cohere_model ?? default_settings.cohere_model;
|
|
oai_settings.perplexity_model = settings.perplexity_model ?? default_settings.perplexity_model;
|
|
oai_settings.groq_model = settings.groq_model ?? default_settings.groq_model;
|
|
oai_settings.blockentropy_model = settings.blockentropy_model ?? default_settings.blockentropy_model;
|
|
oai_settings.zerooneai_model = settings.zerooneai_model ?? default_settings.zerooneai_model;
|
|
oai_settings.custom_model = settings.custom_model ?? default_settings.custom_model;
|
|
oai_settings.custom_url = settings.custom_url ?? default_settings.custom_url;
|
|
oai_settings.custom_include_body = settings.custom_include_body ?? default_settings.custom_include_body;
|
|
oai_settings.custom_exclude_body = settings.custom_exclude_body ?? default_settings.custom_exclude_body;
|
|
oai_settings.custom_include_headers = settings.custom_include_headers ?? default_settings.custom_include_headers;
|
|
oai_settings.custom_prompt_post_processing = settings.custom_prompt_post_processing ?? default_settings.custom_prompt_post_processing;
|
|
oai_settings.google_model = settings.google_model ?? default_settings.google_model;
|
|
oai_settings.chat_completion_source = settings.chat_completion_source ?? default_settings.chat_completion_source;
|
|
oai_settings.api_url_scale = settings.api_url_scale ?? default_settings.api_url_scale;
|
|
oai_settings.show_external_models = settings.show_external_models ?? default_settings.show_external_models;
|
|
oai_settings.proxy_password = settings.proxy_password ?? default_settings.proxy_password;
|
|
oai_settings.assistant_prefill = settings.assistant_prefill ?? default_settings.assistant_prefill;
|
|
oai_settings.assistant_impersonation = settings.assistant_impersonation ?? default_settings.assistant_impersonation;
|
|
oai_settings.human_sysprompt_message = settings.human_sysprompt_message ?? default_settings.human_sysprompt_message;
|
|
oai_settings.image_inlining = settings.image_inlining ?? default_settings.image_inlining;
|
|
oai_settings.inline_image_quality = settings.inline_image_quality ?? default_settings.inline_image_quality;
|
|
oai_settings.bypass_status_check = settings.bypass_status_check ?? default_settings.bypass_status_check;
|
|
oai_settings.seed = settings.seed ?? default_settings.seed;
|
|
oai_settings.n = settings.n ?? default_settings.n;
|
|
|
|
oai_settings.prompts = settings.prompts ?? default_settings.prompts;
|
|
oai_settings.prompt_order = settings.prompt_order ?? default_settings.prompt_order;
|
|
|
|
oai_settings.new_chat_prompt = settings.new_chat_prompt ?? default_settings.new_chat_prompt;
|
|
oai_settings.new_group_chat_prompt = settings.new_group_chat_prompt ?? default_settings.new_group_chat_prompt;
|
|
oai_settings.new_example_chat_prompt = settings.new_example_chat_prompt ?? default_settings.new_example_chat_prompt;
|
|
oai_settings.continue_nudge_prompt = settings.continue_nudge_prompt ?? default_settings.continue_nudge_prompt;
|
|
oai_settings.squash_system_messages = settings.squash_system_messages ?? default_settings.squash_system_messages;
|
|
oai_settings.continue_prefill = settings.continue_prefill ?? default_settings.continue_prefill;
|
|
oai_settings.names_behavior = settings.names_behavior ?? default_settings.names_behavior;
|
|
oai_settings.continue_postfix = settings.continue_postfix ?? default_settings.continue_postfix;
|
|
oai_settings.function_calling = settings.function_calling ?? default_settings.function_calling;
|
|
oai_settings.openrouter_providers = settings.openrouter_providers ?? default_settings.openrouter_providers;
|
|
|
|
// Migrate from old settings
|
|
if (settings.names_in_completion === true) {
|
|
oai_settings.names_behavior = character_names_behavior.COMPLETION;
|
|
}
|
|
|
|
if (oai_settings.ai21_model.startsWith('j2-')) {
|
|
oai_settings.ai21_model = 'jamba-1.5-large';
|
|
}
|
|
|
|
if (settings.wrap_in_quotes !== undefined) oai_settings.wrap_in_quotes = !!settings.wrap_in_quotes;
|
|
if (settings.openai_model !== undefined) oai_settings.openai_model = settings.openai_model;
|
|
if (settings.claude_use_sysprompt !== undefined) oai_settings.claude_use_sysprompt = !!settings.claude_use_sysprompt;
|
|
if (settings.use_makersuite_sysprompt !== undefined) oai_settings.use_makersuite_sysprompt = !!settings.use_makersuite_sysprompt;
|
|
if (settings.use_alt_scale !== undefined) { oai_settings.use_alt_scale = !!settings.use_alt_scale; updateScaleForm(); }
|
|
$('#stream_toggle').prop('checked', oai_settings.stream_openai);
|
|
$('#websearch_toggle').prop('checked', oai_settings.websearch_cohere);
|
|
$('#api_url_scale').val(oai_settings.api_url_scale);
|
|
$('#openai_proxy_password').val(oai_settings.proxy_password);
|
|
$('#claude_assistant_prefill').val(oai_settings.assistant_prefill);
|
|
$('#claude_assistant_impersonation').val(oai_settings.assistant_impersonation);
|
|
$('#claude_human_sysprompt_textarea').val(oai_settings.human_sysprompt_message);
|
|
$('#openai_image_inlining').prop('checked', oai_settings.image_inlining);
|
|
$('#openai_bypass_status_check').prop('checked', oai_settings.bypass_status_check);
|
|
|
|
$('#openai_inline_image_quality').val(oai_settings.inline_image_quality);
|
|
$(`#openai_inline_image_quality option[value="${oai_settings.inline_image_quality}"]`).prop('selected', true);
|
|
|
|
$('#model_openai_select').val(oai_settings.openai_model);
|
|
$(`#model_openai_select option[value="${oai_settings.openai_model}"`).attr('selected', true);
|
|
$('#model_claude_select').val(oai_settings.claude_model);
|
|
$(`#model_claude_select option[value="${oai_settings.claude_model}"`).attr('selected', true);
|
|
$('#model_windowai_select').val(oai_settings.windowai_model);
|
|
$(`#model_windowai_select option[value="${oai_settings.windowai_model}"`).attr('selected', true);
|
|
$('#model_google_select').val(oai_settings.google_model);
|
|
$(`#model_google_select option[value="${oai_settings.google_model}"`).attr('selected', true);
|
|
$('#model_ai21_select').val(oai_settings.ai21_model);
|
|
$(`#model_ai21_select option[value="${oai_settings.ai21_model}"`).attr('selected', true);
|
|
$('#model_mistralai_select').val(oai_settings.mistralai_model);
|
|
$(`#model_mistralai_select option[value="${oai_settings.mistralai_model}"`).attr('selected', true);
|
|
$('#model_cohere_select').val(oai_settings.cohere_model);
|
|
$(`#model_cohere_select option[value="${oai_settings.cohere_model}"`).attr('selected', true);
|
|
$('#model_perplexity_select').val(oai_settings.perplexity_model);
|
|
$(`#model_perplexity_select option[value="${oai_settings.perplexity_model}"`).attr('selected', true);
|
|
$('#model_groq_select').val(oai_settings.groq_model);
|
|
$(`#model_groq_select option[value="${oai_settings.groq_model}"`).attr('selected', true);
|
|
$('#model_01ai_select').val(oai_settings.zerooneai_model);
|
|
$('#model_blockentropy_select').val(oai_settings.blockentropy_model);
|
|
$('#custom_model_id').val(oai_settings.custom_model);
|
|
$('#custom_api_url_text').val(oai_settings.custom_url);
|
|
$('#openai_max_context').val(oai_settings.openai_max_context);
|
|
$('#openai_max_context_counter').val(`${oai_settings.openai_max_context}`);
|
|
$('#model_openrouter_select').val(oai_settings.openrouter_model);
|
|
$('#openrouter_sort_models').val(oai_settings.openrouter_sort_models);
|
|
|
|
$('#openai_max_tokens').val(oai_settings.openai_max_tokens);
|
|
|
|
$('#wrap_in_quotes').prop('checked', oai_settings.wrap_in_quotes);
|
|
$('#jailbreak_system').prop('checked', oai_settings.jailbreak_system);
|
|
$('#openai_show_external_models').prop('checked', oai_settings.show_external_models);
|
|
$('#openai_external_category').toggle(oai_settings.show_external_models);
|
|
$('#claude_use_sysprompt').prop('checked', oai_settings.claude_use_sysprompt);
|
|
$('#use_makersuite_sysprompt').prop('checked', oai_settings.use_makersuite_sysprompt);
|
|
$('#scale-alt').prop('checked', oai_settings.use_alt_scale);
|
|
$('#openrouter_use_fallback').prop('checked', oai_settings.openrouter_use_fallback);
|
|
$('#openrouter_force_instruct').prop('checked', oai_settings.openrouter_force_instruct);
|
|
$('#openrouter_group_models').prop('checked', oai_settings.openrouter_group_models);
|
|
$('#openrouter_allow_fallbacks').prop('checked', oai_settings.openrouter_allow_fallbacks);
|
|
$('#openrouter_providers_chat').val(oai_settings.openrouter_providers).trigger('change');
|
|
$('#squash_system_messages').prop('checked', oai_settings.squash_system_messages);
|
|
$('#continue_prefill').prop('checked', oai_settings.continue_prefill);
|
|
$('#openai_function_calling').prop('checked', oai_settings.function_calling);
|
|
if (settings.impersonation_prompt !== undefined) oai_settings.impersonation_prompt = settings.impersonation_prompt;
|
|
|
|
$('#impersonation_prompt_textarea').val(oai_settings.impersonation_prompt);
|
|
|
|
$('#newchat_prompt_textarea').val(oai_settings.new_chat_prompt);
|
|
$('#newgroupchat_prompt_textarea').val(oai_settings.new_group_chat_prompt);
|
|
$('#newexamplechat_prompt_textarea').val(oai_settings.new_example_chat_prompt);
|
|
$('#continue_nudge_prompt_textarea').val(oai_settings.continue_nudge_prompt);
|
|
|
|
$('#wi_format_textarea').val(oai_settings.wi_format);
|
|
$('#scenario_format_textarea').val(oai_settings.scenario_format);
|
|
$('#personality_format_textarea').val(oai_settings.personality_format);
|
|
$('#group_nudge_prompt_textarea').val(oai_settings.group_nudge_prompt);
|
|
$('#send_if_empty_textarea').val(oai_settings.send_if_empty);
|
|
|
|
$('#temp_openai').val(oai_settings.temp_openai);
|
|
$('#temp_counter_openai').val(Number(oai_settings.temp_openai).toFixed(2));
|
|
|
|
$('#freq_pen_openai').val(oai_settings.freq_pen_openai);
|
|
$('#freq_pen_counter_openai').val(Number(oai_settings.freq_pen_openai).toFixed(2));
|
|
|
|
$('#pres_pen_openai').val(oai_settings.pres_pen_openai);
|
|
$('#pres_pen_counter_openai').val(Number(oai_settings.pres_pen_openai).toFixed(2));
|
|
|
|
$('#top_p_openai').val(oai_settings.top_p_openai);
|
|
$('#top_p_counter_openai').val(Number(oai_settings.top_p_openai).toFixed(2));
|
|
|
|
$('#top_k_openai').val(oai_settings.top_k_openai);
|
|
$('#top_k_counter_openai').val(Number(oai_settings.top_k_openai).toFixed(0));
|
|
$('#top_a_openai').val(oai_settings.top_a_openai);
|
|
$('#top_a_counter_openai').val(Number(oai_settings.top_a_openai));
|
|
$('#min_p_openai').val(oai_settings.min_p_openai);
|
|
$('#min_p_counter_openai').val(Number(oai_settings.min_p_openai));
|
|
$('#repetition_penalty_openai').val(oai_settings.repetition_penalty_openai);
|
|
$('#repetition_penalty_counter_openai').val(Number(oai_settings.repetition_penalty_openai));
|
|
$('#seed_openai').val(oai_settings.seed);
|
|
$('#n_openai').val(oai_settings.n);
|
|
|
|
if (settings.reverse_proxy !== undefined) oai_settings.reverse_proxy = settings.reverse_proxy;
|
|
$('#openai_reverse_proxy').val(oai_settings.reverse_proxy);
|
|
|
|
$('.reverse_proxy_warning').toggle(oai_settings.reverse_proxy !== '');
|
|
|
|
$('#openai_logit_bias_preset').empty();
|
|
for (const preset of Object.keys(oai_settings.bias_presets)) {
|
|
const option = document.createElement('option');
|
|
option.innerText = preset;
|
|
option.value = preset;
|
|
option.selected = preset === oai_settings.bias_preset_selected;
|
|
$('#openai_logit_bias_preset').append(option);
|
|
}
|
|
$('#openai_logit_bias_preset').trigger('change');
|
|
|
|
// Upgrade Palm to Makersuite
|
|
if (oai_settings.chat_completion_source === 'palm') {
|
|
oai_settings.chat_completion_source = chat_completion_sources.MAKERSUITE;
|
|
}
|
|
|
|
setNamesBehaviorControls();
|
|
setContinuePostfixControls();
|
|
|
|
$('#chat_completion_source').val(oai_settings.chat_completion_source).trigger('change');
|
|
$('#oai_max_context_unlocked').prop('checked', oai_settings.max_context_unlocked);
|
|
$('#custom_prompt_post_processing').val(oai_settings.custom_prompt_post_processing);
|
|
$(`#custom_prompt_post_processing option[value="${oai_settings.custom_prompt_post_processing}"]`).attr('selected', true);
|
|
}
|
|
|
|
function setNamesBehaviorControls() {
|
|
switch (oai_settings.names_behavior) {
|
|
case character_names_behavior.NONE:
|
|
$('#character_names_none').prop('checked', true);
|
|
break;
|
|
case character_names_behavior.DEFAULT:
|
|
$('#character_names_default').prop('checked', true);
|
|
break;
|
|
case character_names_behavior.COMPLETION:
|
|
$('#character_names_completion').prop('checked', true);
|
|
break;
|
|
case character_names_behavior.CONTENT:
|
|
$('#character_names_content').prop('checked', true);
|
|
break;
|
|
}
|
|
|
|
const checkedItemText = $('input[name="character_names"]:checked ~ span').text().trim();
|
|
$('#character_names_display').text(checkedItemText);
|
|
}
|
|
|
|
function setContinuePostfixControls() {
|
|
switch (oai_settings.continue_postfix) {
|
|
case continue_postfix_types.NONE:
|
|
$('#continue_postfix_none').prop('checked', true);
|
|
break;
|
|
case continue_postfix_types.SPACE:
|
|
$('#continue_postfix_space').prop('checked', true);
|
|
break;
|
|
case continue_postfix_types.NEWLINE:
|
|
$('#continue_postfix_newline').prop('checked', true);
|
|
break;
|
|
case continue_postfix_types.DOUBLE_NEWLINE:
|
|
$('#continue_postfix_double_newline').prop('checked', true);
|
|
break;
|
|
default:
|
|
// Prevent preset value abuse
|
|
oai_settings.continue_postfix = continue_postfix_types.SPACE;
|
|
$('#continue_postfix_space').prop('checked', true);
|
|
break;
|
|
}
|
|
|
|
$('#continue_postfix').val(oai_settings.continue_postfix);
|
|
const checkedItemText = $('input[name="continue_postfix"]:checked ~ span').text().trim();
|
|
$('#continue_postfix_display').text(checkedItemText);
|
|
}
|
|
|
|
async function getStatusOpen() {
|
|
if (oai_settings.chat_completion_source == chat_completion_sources.WINDOWAI) {
|
|
let status;
|
|
|
|
if ('ai' in window) {
|
|
status = 'Valid';
|
|
}
|
|
else {
|
|
showWindowExtensionError();
|
|
status = 'no_connection';
|
|
}
|
|
|
|
setOnlineStatus(status);
|
|
return resultCheckStatus();
|
|
}
|
|
|
|
const noValidateSources = [
|
|
chat_completion_sources.SCALE,
|
|
chat_completion_sources.CLAUDE,
|
|
chat_completion_sources.AI21,
|
|
chat_completion_sources.MAKERSUITE,
|
|
chat_completion_sources.PERPLEXITY,
|
|
chat_completion_sources.GROQ,
|
|
];
|
|
if (noValidateSources.includes(oai_settings.chat_completion_source)) {
|
|
let status = 'Unable to verify key; press "Test Message" to validate.';
|
|
setOnlineStatus(status);
|
|
return resultCheckStatus();
|
|
}
|
|
|
|
let data = {
|
|
reverse_proxy: oai_settings.reverse_proxy,
|
|
proxy_password: oai_settings.proxy_password,
|
|
chat_completion_source: oai_settings.chat_completion_source,
|
|
};
|
|
|
|
if (oai_settings.reverse_proxy && (oai_settings.chat_completion_source === chat_completion_sources.OPENAI || oai_settings.chat_completion_source === chat_completion_sources.CLAUDE)) {
|
|
await validateReverseProxy();
|
|
}
|
|
|
|
if (oai_settings.chat_completion_source === chat_completion_sources.CUSTOM) {
|
|
$('.model_custom_select').empty();
|
|
data.custom_url = oai_settings.custom_url;
|
|
data.custom_include_headers = oai_settings.custom_include_headers;
|
|
}
|
|
|
|
const canBypass = (oai_settings.chat_completion_source === chat_completion_sources.OPENAI && oai_settings.bypass_status_check) || oai_settings.chat_completion_source === chat_completion_sources.CUSTOM;
|
|
if (canBypass) {
|
|
setOnlineStatus('Status check bypassed');
|
|
}
|
|
|
|
try {
|
|
const response = await fetch('/api/backends/chat-completions/status', {
|
|
method: 'POST',
|
|
headers: getRequestHeaders(),
|
|
body: JSON.stringify(data),
|
|
signal: abortStatusCheck.signal,
|
|
cache: 'no-cache',
|
|
});
|
|
|
|
if (!response.ok) {
|
|
throw new Error(response.statusText);
|
|
}
|
|
|
|
const responseData = await response.json();
|
|
|
|
if (!('error' in responseData)) {
|
|
setOnlineStatus('Valid');
|
|
}
|
|
if ('data' in responseData && Array.isArray(responseData.data)) {
|
|
saveModelList(responseData.data);
|
|
}
|
|
} catch (error) {
|
|
console.error(error);
|
|
|
|
if (!canBypass) {
|
|
setOnlineStatus('no_connection');
|
|
}
|
|
}
|
|
|
|
return resultCheckStatus();
|
|
}
|
|
|
|
function showWindowExtensionError() {
|
|
toastr.error('Get it here: <a href="https://windowai.io/" target="_blank">windowai.io</a>', 'Extension is not installed', {
|
|
escapeHtml: false,
|
|
timeOut: 0,
|
|
extendedTimeOut: 0,
|
|
preventDuplicates: true,
|
|
});
|
|
}
|
|
|
|
/**
|
|
* Persist a settings preset with the given name
|
|
*
|
|
* @param name - Name of the preset
|
|
* @param settings The OpenAi settings object
|
|
* @param triggerUi Whether the change event of preset UI element should be emitted
|
|
* @returns {Promise<void>}
|
|
*/
|
|
async function saveOpenAIPreset(name, settings, triggerUi = true) {
|
|
const presetBody = {
|
|
chat_completion_source: settings.chat_completion_source,
|
|
openai_model: settings.openai_model,
|
|
claude_model: settings.claude_model,
|
|
windowai_model: settings.windowai_model,
|
|
openrouter_model: settings.openrouter_model,
|
|
openrouter_use_fallback: settings.openrouter_use_fallback,
|
|
openrouter_force_instruct: settings.openrouter_force_instruct,
|
|
openrouter_group_models: settings.openrouter_group_models,
|
|
openrouter_sort_models: settings.openrouter_sort_models,
|
|
openrouter_providers: settings.openrouter_providers,
|
|
openrouter_allow_fallbacks: settings.openrouter_allow_fallbacks,
|
|
ai21_model: settings.ai21_model,
|
|
mistralai_model: settings.mistralai_model,
|
|
cohere_model: settings.cohere_model,
|
|
perplexity_model: settings.perplexity_model,
|
|
groq_model: settings.groq_model,
|
|
zerooneai_model: settings.zerooneai_model,
|
|
blockentropy_model: settings.blockentropy_model,
|
|
custom_model: settings.custom_model,
|
|
custom_url: settings.custom_url,
|
|
custom_include_body: settings.custom_include_body,
|
|
custom_exclude_body: settings.custom_exclude_body,
|
|
custom_include_headers: settings.custom_include_headers,
|
|
custom_prompt_post_processing: settings.custom_prompt_post_processing,
|
|
google_model: settings.google_model,
|
|
temperature: settings.temp_openai,
|
|
frequency_penalty: settings.freq_pen_openai,
|
|
presence_penalty: settings.pres_pen_openai,
|
|
top_p: settings.top_p_openai,
|
|
top_k: settings.top_k_openai,
|
|
top_a: settings.top_a_openai,
|
|
min_p: settings.min_p_openai,
|
|
repetition_penalty: settings.repetition_penalty_openai,
|
|
openai_max_context: settings.openai_max_context,
|
|
openai_max_tokens: settings.openai_max_tokens,
|
|
wrap_in_quotes: settings.wrap_in_quotes,
|
|
names_behavior: settings.names_behavior,
|
|
send_if_empty: settings.send_if_empty,
|
|
jailbreak_prompt: settings.jailbreak_prompt,
|
|
jailbreak_system: settings.jailbreak_system,
|
|
impersonation_prompt: settings.impersonation_prompt,
|
|
new_chat_prompt: settings.new_chat_prompt,
|
|
new_group_chat_prompt: settings.new_group_chat_prompt,
|
|
new_example_chat_prompt: settings.new_example_chat_prompt,
|
|
continue_nudge_prompt: settings.continue_nudge_prompt,
|
|
bias_preset_selected: settings.bias_preset_selected,
|
|
reverse_proxy: settings.reverse_proxy,
|
|
proxy_password: settings.proxy_password,
|
|
max_context_unlocked: settings.max_context_unlocked,
|
|
wi_format: settings.wi_format,
|
|
scenario_format: settings.scenario_format,
|
|
personality_format: settings.personality_format,
|
|
group_nudge_prompt: settings.group_nudge_prompt,
|
|
stream_openai: settings.stream_openai,
|
|
websearch_cohere: settings.websearch_cohere,
|
|
prompts: settings.prompts,
|
|
prompt_order: settings.prompt_order,
|
|
api_url_scale: settings.api_url_scale,
|
|
show_external_models: settings.show_external_models,
|
|
assistant_prefill: settings.assistant_prefill,
|
|
assistant_impersonation: settings.assistant_impersonation,
|
|
human_sysprompt_message: settings.human_sysprompt_message,
|
|
claude_use_sysprompt: settings.claude_use_sysprompt,
|
|
use_makersuite_sysprompt: settings.use_makersuite_sysprompt,
|
|
use_alt_scale: settings.use_alt_scale,
|
|
squash_system_messages: settings.squash_system_messages,
|
|
image_inlining: settings.image_inlining,
|
|
inline_image_quality: settings.inline_image_quality,
|
|
bypass_status_check: settings.bypass_status_check,
|
|
continue_prefill: settings.continue_prefill,
|
|
continue_postfix: settings.continue_postfix,
|
|
function_calling: settings.function_calling,
|
|
seed: settings.seed,
|
|
n: settings.n,
|
|
};
|
|
|
|
const savePresetSettings = await fetch(`/api/presets/save-openai?name=${name}`, {
|
|
method: 'POST',
|
|
headers: getRequestHeaders(),
|
|
body: JSON.stringify(presetBody),
|
|
});
|
|
|
|
if (savePresetSettings.ok) {
|
|
const data = await savePresetSettings.json();
|
|
|
|
if (Object.keys(openai_setting_names).includes(data.name)) {
|
|
oai_settings.preset_settings_openai = data.name;
|
|
const value = openai_setting_names[data.name];
|
|
Object.assign(openai_settings[value], presetBody);
|
|
$(`#settings_preset_openai option[value="${value}"]`).attr('selected', true);
|
|
if (triggerUi) $('#settings_preset_openai').trigger('change');
|
|
}
|
|
else {
|
|
openai_settings.push(presetBody);
|
|
openai_setting_names[data.name] = openai_settings.length - 1;
|
|
const option = document.createElement('option');
|
|
option.selected = true;
|
|
option.value = openai_settings.length - 1;
|
|
option.innerText = data.name;
|
|
if (triggerUi) $('#settings_preset_openai').append(option).trigger('change');
|
|
}
|
|
} else {
|
|
toastr.error('Failed to save preset');
|
|
throw new Error('Failed to save preset');
|
|
}
|
|
}
|
|
|
|
function onLogitBiasPresetChange() {
|
|
const value = String($('#openai_logit_bias_preset').find(':selected').val());
|
|
const preset = oai_settings.bias_presets[value];
|
|
|
|
if (!Array.isArray(preset)) {
|
|
console.error('Preset not found');
|
|
return;
|
|
}
|
|
|
|
oai_settings.bias_preset_selected = value;
|
|
$('.openai_logit_bias_list').empty();
|
|
|
|
for (const entry of preset) {
|
|
if (entry) {
|
|
createLogitBiasListItem(entry);
|
|
}
|
|
}
|
|
|
|
biasCache = undefined;
|
|
saveSettingsDebounced();
|
|
}
|
|
|
|
function createNewLogitBiasEntry() {
|
|
const entry = { text: '', value: 0 };
|
|
oai_settings.bias_presets[oai_settings.bias_preset_selected].push(entry);
|
|
biasCache = undefined;
|
|
createLogitBiasListItem(entry);
|
|
saveSettingsDebounced();
|
|
}
|
|
|
|
function createLogitBiasListItem(entry) {
|
|
const id = oai_settings.bias_presets[oai_settings.bias_preset_selected].indexOf(entry);
|
|
const template = $('#openai_logit_bias_template .openai_logit_bias_form').clone();
|
|
template.data('id', id);
|
|
template.find('.openai_logit_bias_text').val(entry.text).on('input', function () {
|
|
oai_settings.bias_presets[oai_settings.bias_preset_selected][id].text = String($(this).val());
|
|
biasCache = undefined;
|
|
saveSettingsDebounced();
|
|
});
|
|
template.find('.openai_logit_bias_value').val(entry.value).on('input', function () {
|
|
const min = Number($(this).attr('min'));
|
|
const max = Number($(this).attr('max'));
|
|
let value = Number($(this).val());
|
|
|
|
if (value < min) {
|
|
$(this).val(min);
|
|
value = min;
|
|
}
|
|
|
|
if (value > max) {
|
|
$(this).val(max);
|
|
value = max;
|
|
}
|
|
|
|
oai_settings.bias_presets[oai_settings.bias_preset_selected][id].value = value;
|
|
biasCache = undefined;
|
|
saveSettingsDebounced();
|
|
});
|
|
template.find('.openai_logit_bias_remove').on('click', function () {
|
|
$(this).closest('.openai_logit_bias_form').remove();
|
|
oai_settings.bias_presets[oai_settings.bias_preset_selected].splice(id, 1);
|
|
onLogitBiasPresetChange();
|
|
});
|
|
$('.openai_logit_bias_list').prepend(template);
|
|
}
|
|
|
|
async function createNewLogitBiasPreset() {
|
|
const name = await callPopup('Preset name:', 'input');
|
|
|
|
if (!name) {
|
|
return;
|
|
}
|
|
|
|
if (name in oai_settings.bias_presets) {
|
|
toastr.error('Preset name should be unique.');
|
|
return;
|
|
}
|
|
|
|
oai_settings.bias_preset_selected = name;
|
|
oai_settings.bias_presets[name] = [];
|
|
|
|
addLogitBiasPresetOption(name);
|
|
saveSettingsDebounced();
|
|
}
|
|
|
|
function addLogitBiasPresetOption(name) {
|
|
const option = document.createElement('option');
|
|
option.innerText = name;
|
|
option.value = name;
|
|
option.selected = true;
|
|
|
|
$('#openai_logit_bias_preset').append(option);
|
|
$('#openai_logit_bias_preset').trigger('change');
|
|
}
|
|
|
|
function onImportPresetClick() {
|
|
$('#openai_preset_import_file').trigger('click');
|
|
}
|
|
|
|
function onLogitBiasPresetImportClick() {
|
|
$('#openai_logit_bias_import_file').trigger('click');
|
|
}
|
|
|
|
async function onPresetImportFileChange(e) {
|
|
const file = e.target.files[0];
|
|
|
|
if (!file) {
|
|
return;
|
|
}
|
|
|
|
const name = file.name.replace(/\.[^/.]+$/, '');
|
|
const importedFile = await getFileText(file);
|
|
let presetBody;
|
|
e.target.value = '';
|
|
|
|
try {
|
|
presetBody = JSON.parse(importedFile);
|
|
} catch (err) {
|
|
toastr.error('Invalid file');
|
|
return;
|
|
}
|
|
|
|
const fields = sensitiveFields.filter(field => presetBody[field]).map(field => `<b>${field}</b>`);
|
|
const shouldConfirm = fields.length > 0;
|
|
|
|
if (shouldConfirm) {
|
|
const textHeader = 'The imported preset contains proxy and/or custom endpoint settings.';
|
|
const textMessage = fields.join('<br>');
|
|
const cancelButton = { text: 'Cancel import', result: POPUP_RESULT.CANCELLED, appendAtEnd: true };
|
|
const popupOptions = { customButtons: [cancelButton], okButton: 'Remove them', cancelButton: 'Import as-is' };
|
|
const popupResult = await Popup.show.confirm(textHeader, textMessage, popupOptions);
|
|
|
|
if (popupResult === POPUP_RESULT.CANCELLED) {
|
|
console.log('Import cancelled by user');
|
|
return;
|
|
}
|
|
|
|
if (popupResult === POPUP_RESULT.AFFIRMATIVE) {
|
|
sensitiveFields.forEach(field => delete presetBody[field]);
|
|
}
|
|
}
|
|
|
|
if (name in openai_setting_names) {
|
|
const confirm = await callPopup('Preset name already exists. Overwrite?', 'confirm');
|
|
|
|
if (!confirm) {
|
|
return;
|
|
}
|
|
}
|
|
|
|
await eventSource.emit(event_types.OAI_PRESET_IMPORT_READY, { data: presetBody, presetName: name });
|
|
|
|
const savePresetSettings = await fetch(`/api/presets/save-openai?name=${name}`, {
|
|
method: 'POST',
|
|
headers: getRequestHeaders(),
|
|
body: importedFile,
|
|
});
|
|
|
|
if (!savePresetSettings.ok) {
|
|
toastr.error('Failed to save preset');
|
|
return;
|
|
}
|
|
|
|
const data = await savePresetSettings.json();
|
|
|
|
if (Object.keys(openai_setting_names).includes(data.name)) {
|
|
oai_settings.preset_settings_openai = data.name;
|
|
const value = openai_setting_names[data.name];
|
|
Object.assign(openai_settings[value], presetBody);
|
|
$(`#settings_preset_openai option[value="${value}"]`).attr('selected', true);
|
|
$('#settings_preset_openai').trigger('change');
|
|
} else {
|
|
openai_settings.push(presetBody);
|
|
openai_setting_names[data.name] = openai_settings.length - 1;
|
|
const option = document.createElement('option');
|
|
option.selected = true;
|
|
option.value = openai_settings.length - 1;
|
|
option.innerText = data.name;
|
|
$('#settings_preset_openai').append(option).trigger('change');
|
|
}
|
|
}
|
|
|
|
async function onExportPresetClick() {
|
|
if (!oai_settings.preset_settings_openai) {
|
|
toastr.error('No preset selected');
|
|
return;
|
|
}
|
|
|
|
const preset = structuredClone(openai_settings[openai_setting_names[oai_settings.preset_settings_openai]]);
|
|
|
|
const fieldValues = sensitiveFields.filter(field => preset[field]).map(field => `<b>${field}</b>: <code>${preset[field]}</code>`);
|
|
const shouldConfirm = fieldValues.length > 0;
|
|
const textHeader = 'Your preset contains proxy and/or custom endpoint settings.';
|
|
const textMessage = `<div>Do you want to remove these fields before exporting?</div><br>${DOMPurify.sanitize(fieldValues.join('<br>'))}`;
|
|
const cancelButton = { text: 'Cancel', result: POPUP_RESULT.CANCELLED, appendAtEnd: true };
|
|
const popupOptions = { customButtons: [cancelButton] };
|
|
const popupResult = await Popup.show.confirm(textHeader, textMessage, popupOptions);
|
|
|
|
if (popupResult === POPUP_RESULT.CANCELLED) {
|
|
console.log('Export cancelled by user');
|
|
return;
|
|
}
|
|
|
|
if (!shouldConfirm || popupResult === POPUP_RESULT.AFFIRMATIVE) {
|
|
sensitiveFields.forEach(field => delete preset[field]);
|
|
}
|
|
|
|
await eventSource.emit(event_types.OAI_PRESET_EXPORT_READY, preset);
|
|
const presetJsonString = JSON.stringify(preset, null, 4);
|
|
const presetFileName = `${oai_settings.preset_settings_openai}.json`;
|
|
download(presetJsonString, presetFileName, 'application/json');
|
|
}
|
|
|
|
async function onLogitBiasPresetImportFileChange(e) {
|
|
const file = e.target.files[0];
|
|
|
|
if (!file || file.type !== 'application/json') {
|
|
return;
|
|
}
|
|
|
|
const name = file.name.replace(/\.[^/.]+$/, '');
|
|
const importedFile = await parseJsonFile(file);
|
|
e.target.value = '';
|
|
|
|
if (name in oai_settings.bias_presets) {
|
|
toastr.error('Preset name should be unique.');
|
|
return;
|
|
}
|
|
|
|
if (!Array.isArray(importedFile)) {
|
|
toastr.error('Invalid logit bias preset file.');
|
|
return;
|
|
}
|
|
|
|
const validEntries = [];
|
|
|
|
for (const entry of importedFile) {
|
|
if (typeof entry == 'object' && entry !== null) {
|
|
if (Object.hasOwn(entry, 'text') &&
|
|
Object.hasOwn(entry, 'value')) {
|
|
validEntries.push(entry);
|
|
}
|
|
}
|
|
}
|
|
|
|
oai_settings.bias_presets[name] = validEntries;
|
|
oai_settings.bias_preset_selected = name;
|
|
|
|
addLogitBiasPresetOption(name);
|
|
saveSettingsDebounced();
|
|
}
|
|
|
|
function onLogitBiasPresetExportClick() {
|
|
if (!oai_settings.bias_preset_selected || Object.keys(oai_settings.bias_presets).length === 0) {
|
|
return;
|
|
}
|
|
|
|
const presetJsonString = JSON.stringify(oai_settings.bias_presets[oai_settings.bias_preset_selected], null, 4);
|
|
const presetFileName = `${oai_settings.bias_preset_selected}.json`;
|
|
download(presetJsonString, presetFileName, 'application/json');
|
|
}
|
|
|
|
async function onDeletePresetClick() {
|
|
const confirm = await callPopup('Delete the preset? This action is irreversible and your current settings will be overwritten.', 'confirm');
|
|
|
|
if (!confirm) {
|
|
return;
|
|
}
|
|
|
|
const nameToDelete = oai_settings.preset_settings_openai;
|
|
const value = openai_setting_names[oai_settings.preset_settings_openai];
|
|
$(`#settings_preset_openai option[value="${value}"]`).remove();
|
|
delete openai_setting_names[oai_settings.preset_settings_openai];
|
|
oai_settings.preset_settings_openai = null;
|
|
|
|
if (Object.keys(openai_setting_names).length) {
|
|
oai_settings.preset_settings_openai = Object.keys(openai_setting_names)[0];
|
|
const newValue = openai_setting_names[oai_settings.preset_settings_openai];
|
|
$(`#settings_preset_openai option[value="${newValue}"]`).attr('selected', true);
|
|
$('#settings_preset_openai').trigger('change');
|
|
}
|
|
|
|
const response = await fetch('/api/presets/delete-openai', {
|
|
method: 'POST',
|
|
headers: getRequestHeaders(),
|
|
body: JSON.stringify({ name: nameToDelete }),
|
|
});
|
|
|
|
if (!response.ok) {
|
|
toastr.warning('Preset was not deleted from server');
|
|
} else {
|
|
toastr.success('Preset deleted');
|
|
}
|
|
|
|
saveSettingsDebounced();
|
|
}
|
|
|
|
async function onLogitBiasPresetDeleteClick() {
|
|
const value = await callPopup('Delete the preset?', 'confirm');
|
|
|
|
if (!value) {
|
|
return;
|
|
}
|
|
|
|
$(`#openai_logit_bias_preset option[value="${oai_settings.bias_preset_selected}"]`).remove();
|
|
delete oai_settings.bias_presets[oai_settings.bias_preset_selected];
|
|
oai_settings.bias_preset_selected = null;
|
|
|
|
if (Object.keys(oai_settings.bias_presets).length) {
|
|
oai_settings.bias_preset_selected = Object.keys(oai_settings.bias_presets)[0];
|
|
$(`#openai_logit_bias_preset option[value="${oai_settings.bias_preset_selected}"]`).attr('selected', true);
|
|
$('#openai_logit_bias_preset').trigger('change');
|
|
}
|
|
|
|
biasCache = undefined;
|
|
saveSettingsDebounced();
|
|
}
|
|
|
|
// Load OpenAI preset settings
|
|
function onSettingsPresetChange() {
|
|
const settingsToUpdate = {
|
|
chat_completion_source: ['#chat_completion_source', 'chat_completion_source', false],
|
|
temperature: ['#temp_openai', 'temp_openai', false],
|
|
frequency_penalty: ['#freq_pen_openai', 'freq_pen_openai', false],
|
|
presence_penalty: ['#pres_pen_openai', 'pres_pen_openai', false],
|
|
top_p: ['#top_p_openai', 'top_p_openai', false],
|
|
top_k: ['#top_k_openai', 'top_k_openai', false],
|
|
top_a: ['#top_a_openai', 'top_a_openai', false],
|
|
min_p: ['#min_p_openai', 'min_p_openai', false],
|
|
repetition_penalty: ['#repetition_penalty_openai', 'repetition_penalty_openai', false],
|
|
max_context_unlocked: ['#oai_max_context_unlocked', 'max_context_unlocked', true],
|
|
openai_model: ['#model_openai_select', 'openai_model', false],
|
|
claude_model: ['#model_claude_select', 'claude_model', false],
|
|
windowai_model: ['#model_windowai_select', 'windowai_model', false],
|
|
openrouter_model: ['#model_openrouter_select', 'openrouter_model', false],
|
|
openrouter_use_fallback: ['#openrouter_use_fallback', 'openrouter_use_fallback', true],
|
|
openrouter_force_instruct: ['#openrouter_force_instruct', 'openrouter_force_instruct', true],
|
|
openrouter_group_models: ['#openrouter_group_models', 'openrouter_group_models', false],
|
|
openrouter_sort_models: ['#openrouter_sort_models', 'openrouter_sort_models', false],
|
|
openrouter_providers: ['#openrouter_providers_chat', 'openrouter_providers', false],
|
|
openrouter_allow_fallbacks: ['#openrouter_allow_fallbacks', 'openrouter_allow_fallbacks', true],
|
|
ai21_model: ['#model_ai21_select', 'ai21_model', false],
|
|
mistralai_model: ['#model_mistralai_select', 'mistralai_model', false],
|
|
cohere_model: ['#model_cohere_select', 'cohere_model', false],
|
|
perplexity_model: ['#model_perplexity_select', 'perplexity_model', false],
|
|
groq_model: ['#model_groq_select', 'groq_model', false],
|
|
zerooneai_model: ['#model_01ai_select', 'zerooneai_model', false],
|
|
blockentropy_model: ['#model_blockentropy_select', 'blockentropy_model', false],
|
|
custom_model: ['#custom_model_id', 'custom_model', false],
|
|
custom_url: ['#custom_api_url_text', 'custom_url', false],
|
|
custom_include_body: ['#custom_include_body', 'custom_include_body', false],
|
|
custom_exclude_body: ['#custom_exclude_body', 'custom_exclude_body', false],
|
|
custom_include_headers: ['#custom_include_headers', 'custom_include_headers', false],
|
|
custom_prompt_post_processing: ['#custom_prompt_post_processing', 'custom_prompt_post_processing', false],
|
|
google_model: ['#model_google_select', 'google_model', false],
|
|
openai_max_context: ['#openai_max_context', 'openai_max_context', false],
|
|
openai_max_tokens: ['#openai_max_tokens', 'openai_max_tokens', false],
|
|
wrap_in_quotes: ['#wrap_in_quotes', 'wrap_in_quotes', true],
|
|
names_behavior: ['#names_behavior', 'names_behavior', false],
|
|
send_if_empty: ['#send_if_empty_textarea', 'send_if_empty', false],
|
|
impersonation_prompt: ['#impersonation_prompt_textarea', 'impersonation_prompt', false],
|
|
new_chat_prompt: ['#newchat_prompt_textarea', 'new_chat_prompt', false],
|
|
new_group_chat_prompt: ['#newgroupchat_prompt_textarea', 'new_group_chat_prompt', false],
|
|
new_example_chat_prompt: ['#newexamplechat_prompt_textarea', 'new_example_chat_prompt', false],
|
|
continue_nudge_prompt: ['#continue_nudge_prompt_textarea', 'continue_nudge_prompt', false],
|
|
bias_preset_selected: ['#openai_logit_bias_preset', 'bias_preset_selected', false],
|
|
reverse_proxy: ['#openai_reverse_proxy', 'reverse_proxy', false],
|
|
wi_format: ['#wi_format_textarea', 'wi_format', false],
|
|
scenario_format: ['#scenario_format_textarea', 'scenario_format', false],
|
|
personality_format: ['#personality_format_textarea', 'personality_format', false],
|
|
group_nudge_prompt: ['#group_nudge_prompt_textarea', 'group_nudge_prompt', false],
|
|
stream_openai: ['#stream_toggle', 'stream_openai', true],
|
|
websearch_cohere: ['#websearch_toggle', 'websearch_cohere', true],
|
|
prompts: ['', 'prompts', false],
|
|
prompt_order: ['', 'prompt_order', false],
|
|
api_url_scale: ['#api_url_scale', 'api_url_scale', false],
|
|
show_external_models: ['#openai_show_external_models', 'show_external_models', true],
|
|
proxy_password: ['#openai_proxy_password', 'proxy_password', false],
|
|
assistant_prefill: ['#claude_assistant_prefill', 'assistant_prefill', false],
|
|
assistant_impersonation: ['#claude_assistant_impersonation', 'assistant_impersonation', false],
|
|
human_sysprompt_message: ['#claude_human_sysprompt_textarea', 'human_sysprompt_message', false],
|
|
claude_use_sysprompt: ['#claude_use_sysprompt', 'claude_use_sysprompt', true],
|
|
use_makersuite_sysprompt: ['#use_makersuite_sysprompt', 'use_makersuite_sysprompt', true],
|
|
use_alt_scale: ['#use_alt_scale', 'use_alt_scale', true],
|
|
squash_system_messages: ['#squash_system_messages', 'squash_system_messages', true],
|
|
image_inlining: ['#openai_image_inlining', 'image_inlining', true],
|
|
inline_image_quality: ['#openai_inline_image_quality', 'inline_image_quality', false],
|
|
continue_prefill: ['#continue_prefill', 'continue_prefill', true],
|
|
continue_postfix: ['#continue_postfix', 'continue_postfix', false],
|
|
function_calling: ['#openai_function_calling', 'function_calling', true],
|
|
seed: ['#seed_openai', 'seed', false],
|
|
n: ['#n_openai', 'n', false],
|
|
};
|
|
|
|
const presetName = $('#settings_preset_openai').find(':selected').text();
|
|
oai_settings.preset_settings_openai = presetName;
|
|
|
|
const preset = structuredClone(openai_settings[openai_setting_names[oai_settings.preset_settings_openai]]);
|
|
|
|
// Migrate old settings
|
|
if (preset.names_in_completion === true && preset.names_behavior === undefined) {
|
|
preset.names_behavior = character_names_behavior.COMPLETION;
|
|
}
|
|
|
|
// Claude: Assistant Impersonation Prefill = Inherit from Assistant Prefill
|
|
if (preset.assistant_prefill !== undefined && preset.assistant_impersonation === undefined) {
|
|
preset.assistant_impersonation = preset.assistant_prefill;
|
|
}
|
|
|
|
const updateInput = (selector, value) => $(selector).val(value).trigger('input', { source: 'preset' });
|
|
const updateCheckbox = (selector, value) => $(selector).prop('checked', value).trigger('input', { source: 'preset' });
|
|
|
|
// Allow subscribers to alter the preset before applying deltas
|
|
eventSource.emit(event_types.OAI_PRESET_CHANGED_BEFORE, {
|
|
preset: preset,
|
|
presetName: presetName,
|
|
settingsToUpdate: settingsToUpdate,
|
|
settings: oai_settings,
|
|
savePreset: saveOpenAIPreset,
|
|
}).finally(r => {
|
|
for (const [key, [selector, setting, isCheckbox]] of Object.entries(settingsToUpdate)) {
|
|
if (preset[key] !== undefined) {
|
|
if (isCheckbox) {
|
|
updateCheckbox(selector, preset[key]);
|
|
} else {
|
|
updateInput(selector, preset[key]);
|
|
}
|
|
oai_settings[setting] = preset[key];
|
|
}
|
|
}
|
|
|
|
$('#chat_completion_source').trigger('change');
|
|
$('#openai_logit_bias_preset').trigger('change');
|
|
$('#openrouter_providers_chat').trigger('change');
|
|
|
|
saveSettingsDebounced();
|
|
eventSource.emit(event_types.OAI_PRESET_CHANGED_AFTER);
|
|
});
|
|
}
|
|
|
|
function getMaxContextOpenAI(value) {
|
|
if (oai_settings.max_context_unlocked) {
|
|
return unlocked_max;
|
|
}
|
|
else if (value.startsWith('o1-')) {
|
|
return max_128k;
|
|
}
|
|
else if (value.includes('chatgpt-4o-latest') || value.includes('gpt-4-turbo') || value.includes('gpt-4o') || value.includes('gpt-4-1106') || value.includes('gpt-4-0125') || value.includes('gpt-4-vision')) {
|
|
return max_128k;
|
|
}
|
|
else if (value.includes('gpt-3.5-turbo-1106')) {
|
|
return max_16k;
|
|
}
|
|
else if (['gpt-4', 'gpt-4-0314', 'gpt-4-0613'].includes(value)) {
|
|
return max_8k;
|
|
}
|
|
else if (['gpt-4-32k', 'gpt-4-32k-0314', 'gpt-4-32k-0613'].includes(value)) {
|
|
return max_32k;
|
|
}
|
|
else if (['gpt-3.5-turbo-16k', 'gpt-3.5-turbo-16k-0613'].includes(value)) {
|
|
return max_16k;
|
|
}
|
|
else if (value == 'code-davinci-002') {
|
|
return max_8k;
|
|
}
|
|
else if (['text-curie-001', 'text-babbage-001', 'text-ada-001'].includes(value)) {
|
|
return max_2k;
|
|
}
|
|
else {
|
|
// default to gpt-3 (4095 tokens)
|
|
return max_4k;
|
|
}
|
|
}
|
|
|
|
function getMaxContextWindowAI(value) {
|
|
if (oai_settings.max_context_unlocked) {
|
|
return unlocked_max;
|
|
}
|
|
else if (value.endsWith('100k')) {
|
|
return claude_100k_max;
|
|
}
|
|
else if (value.includes('claude')) {
|
|
return claude_max;
|
|
}
|
|
else if (value.includes('gpt-3.5-turbo-1106')) {
|
|
return max_16k;
|
|
}
|
|
else if (value.includes('gpt-3.5-turbo-16k')) {
|
|
return max_16k;
|
|
}
|
|
else if (value.includes('gpt-3.5')) {
|
|
return max_4k;
|
|
}
|
|
else if (value.includes('gpt-4-1106')) {
|
|
return max_128k;
|
|
}
|
|
else if (value.includes('gpt-4-vision')) {
|
|
return max_128k;
|
|
}
|
|
else if (value.includes('gpt-4-32k')) {
|
|
return max_32k;
|
|
}
|
|
else if (value.includes('gpt-4')) {
|
|
return max_8k;
|
|
}
|
|
else if (value.includes('palm-2')) {
|
|
return max_8k;
|
|
}
|
|
else if (value.includes('GPT-NeoXT')) {
|
|
return max_2k;
|
|
}
|
|
else {
|
|
// default to gpt-3 (4095 tokens)
|
|
return max_4k;
|
|
}
|
|
}
|
|
|
|
async function onModelChange() {
|
|
biasCache = undefined;
|
|
let value = String($(this).val() || '');
|
|
|
|
if ($(this).is('#model_claude_select')) {
|
|
if (value.includes('-v')) {
|
|
value = value.replace('-v', '-');
|
|
} else if (value === '' || value === 'claude-2') {
|
|
value = default_settings.claude_model;
|
|
}
|
|
console.log('Claude model changed to', value);
|
|
oai_settings.claude_model = value;
|
|
$('#model_claude_select').val(oai_settings.claude_model);
|
|
|
|
}
|
|
|
|
if ($(this).is('#model_windowai_select')) {
|
|
console.log('WindowAI model changed to', value);
|
|
oai_settings.windowai_model = value;
|
|
}
|
|
|
|
if ($(this).is('#model_openai_select')) {
|
|
console.log('OpenAI model changed to', value);
|
|
oai_settings.openai_model = value;
|
|
}
|
|
|
|
if ($(this).is('#model_openrouter_select')) {
|
|
if (!value) {
|
|
console.debug('Null OR model selected. Ignoring.');
|
|
return;
|
|
}
|
|
|
|
console.log('OpenRouter model changed to', value);
|
|
oai_settings.openrouter_model = value;
|
|
}
|
|
|
|
if ($(this).is('#model_ai21_select')) {
|
|
if (value === '' || value.startsWith('j2-')) {
|
|
value = 'jamba-1.5-large';
|
|
$('#model_ai21_select').val(value);
|
|
}
|
|
|
|
console.log('AI21 model changed to', value);
|
|
oai_settings.ai21_model = value;
|
|
}
|
|
|
|
if ($(this).is('#model_google_select')) {
|
|
console.log('Google model changed to', value);
|
|
oai_settings.google_model = value;
|
|
}
|
|
|
|
if ($(this).is('#model_mistralai_select')) {
|
|
// Upgrade old mistral models to new naming scheme
|
|
// would have done this in loadOpenAISettings, but it wasn't updating on preset change?
|
|
if (value === 'mistral-medium' || value === 'mistral-small') {
|
|
value = value + '-latest';
|
|
} else if (value === '') {
|
|
value = default_settings.mistralai_model;
|
|
}
|
|
console.log('MistralAI model changed to', value);
|
|
oai_settings.mistralai_model = value;
|
|
$('#model_mistralai_select').val(oai_settings.mistralai_model);
|
|
}
|
|
|
|
if ($(this).is('#model_cohere_select')) {
|
|
console.log('Cohere model changed to', value);
|
|
oai_settings.cohere_model = value;
|
|
}
|
|
|
|
if ($(this).is('#model_perplexity_select')) {
|
|
console.log('Perplexity model changed to', value);
|
|
oai_settings.perplexity_model = value;
|
|
}
|
|
|
|
if ($(this).is('#model_groq_select')) {
|
|
console.log('Groq model changed to', value);
|
|
oai_settings.groq_model = value;
|
|
}
|
|
|
|
if (value && $(this).is('#model_01ai_select')) {
|
|
console.log('01.AI model changed to', value);
|
|
oai_settings.zerooneai_model = value;
|
|
}
|
|
|
|
if (value && $(this).is('#model_blockentropy_select')) {
|
|
console.log('Block Entropy model changed to', value);
|
|
oai_settings.blockentropy_model = value;
|
|
$('#blockentropy_model_id').val(value).trigger('input');
|
|
}
|
|
|
|
if (value && $(this).is('#model_custom_select')) {
|
|
console.log('Custom model changed to', value);
|
|
oai_settings.custom_model = value;
|
|
$('#custom_model_id').val(value).trigger('input');
|
|
}
|
|
|
|
if (oai_settings.chat_completion_source == chat_completion_sources.SCALE) {
|
|
if (oai_settings.max_context_unlocked) {
|
|
$('#openai_max_context').attr('max', unlocked_max);
|
|
} else {
|
|
$('#openai_max_context').attr('max', scale_max);
|
|
}
|
|
oai_settings.openai_max_context = Math.min(Number($('#openai_max_context').attr('max')), oai_settings.openai_max_context);
|
|
$('#openai_max_context').val(oai_settings.openai_max_context).trigger('input');
|
|
$('#temp_openai').attr('max', oai_max_temp).val(oai_settings.temp_openai).trigger('input');
|
|
}
|
|
|
|
if (oai_settings.chat_completion_source == chat_completion_sources.MAKERSUITE) {
|
|
if (oai_settings.max_context_unlocked) {
|
|
$('#openai_max_context').attr('max', max_2mil);
|
|
} else if (value.includes('gemini-1.5-pro')) {
|
|
$('#openai_max_context').attr('max', max_2mil);
|
|
} else if (value.includes('gemini-1.5-flash')) {
|
|
$('#openai_max_context').attr('max', max_1mil);
|
|
} else if (value.includes('gemini-1.0-pro-vision') || value === 'gemini-pro-vision') {
|
|
$('#openai_max_context').attr('max', max_16k);
|
|
} else if (value.includes('gemini-1.0-pro') || value === 'gemini-pro') {
|
|
$('#openai_max_context').attr('max', max_32k);
|
|
} else if (value === 'text-bison-001') {
|
|
$('#openai_max_context').attr('max', max_8k);
|
|
// The ultra endpoints are possibly dead:
|
|
} else if (value.includes('gemini-1.0-ultra') || value === 'gemini-ultra') {
|
|
$('#openai_max_context').attr('max', max_32k);
|
|
} else {
|
|
$('#openai_max_context').attr('max', max_4k);
|
|
}
|
|
let makersuite_max_temp = (value.includes('vision') || value.includes('ultra')) ? 1.0 : 2.0;
|
|
oai_settings.temp_openai = Math.min(makersuite_max_temp, oai_settings.temp_openai);
|
|
$('#temp_openai').attr('max', makersuite_max_temp).val(oai_settings.temp_openai).trigger('input');
|
|
oai_settings.openai_max_context = Math.min(Number($('#openai_max_context').attr('max')), oai_settings.openai_max_context);
|
|
$('#openai_max_context').val(oai_settings.openai_max_context).trigger('input');
|
|
}
|
|
|
|
if (oai_settings.chat_completion_source == chat_completion_sources.OPENROUTER) {
|
|
if (oai_settings.max_context_unlocked) {
|
|
$('#openai_max_context').attr('max', unlocked_max);
|
|
} else {
|
|
const model = model_list.find(m => m.id == oai_settings.openrouter_model);
|
|
if (model?.context_length) {
|
|
$('#openai_max_context').attr('max', model.context_length);
|
|
} else {
|
|
$('#openai_max_context').attr('max', max_8k);
|
|
}
|
|
}
|
|
oai_settings.openai_max_context = Math.min(Number($('#openai_max_context').attr('max')), oai_settings.openai_max_context);
|
|
$('#openai_max_context').val(oai_settings.openai_max_context).trigger('input');
|
|
|
|
if (value && (value.includes('claude') || value.includes('palm-2'))) {
|
|
oai_settings.temp_openai = Math.min(claude_max_temp, oai_settings.temp_openai);
|
|
$('#temp_openai').attr('max', claude_max_temp).val(oai_settings.temp_openai).trigger('input');
|
|
}
|
|
else {
|
|
oai_settings.temp_openai = Math.min(oai_max_temp, oai_settings.temp_openai);
|
|
$('#temp_openai').attr('max', oai_max_temp).val(oai_settings.temp_openai).trigger('input');
|
|
}
|
|
|
|
calculateOpenRouterCost();
|
|
}
|
|
|
|
if (oai_settings.chat_completion_source == chat_completion_sources.CLAUDE) {
|
|
if (oai_settings.max_context_unlocked) {
|
|
$('#openai_max_context').attr('max', max_200k);
|
|
}
|
|
else if (value == 'claude-2.1' || value.startsWith('claude-3')) {
|
|
$('#openai_max_context').attr('max', max_200k);
|
|
}
|
|
else if (value.endsWith('100k') || value.startsWith('claude-2') || value === 'claude-instant-1.2') {
|
|
$('#openai_max_context').attr('max', claude_100k_max);
|
|
}
|
|
else {
|
|
$('#openai_max_context').attr('max', claude_max);
|
|
}
|
|
|
|
oai_settings.openai_max_context = Math.min(oai_settings.openai_max_context, Number($('#openai_max_context').attr('max')));
|
|
$('#openai_max_context').val(oai_settings.openai_max_context).trigger('input');
|
|
|
|
$('#openai_reverse_proxy').attr('placeholder', 'https://api.anthropic.com/v1');
|
|
|
|
oai_settings.temp_openai = Math.min(claude_max_temp, oai_settings.temp_openai);
|
|
$('#temp_openai').attr('max', claude_max_temp).val(oai_settings.temp_openai).trigger('input');
|
|
}
|
|
|
|
if (oai_settings.chat_completion_source == chat_completion_sources.WINDOWAI) {
|
|
if (value == '' && 'ai' in window) {
|
|
value = (await window.ai.getCurrentModel()) || '';
|
|
}
|
|
|
|
$('#openai_max_context').attr('max', getMaxContextWindowAI(value));
|
|
oai_settings.openai_max_context = Math.min(Number($('#openai_max_context').attr('max')), oai_settings.openai_max_context);
|
|
$('#openai_max_context').val(oai_settings.openai_max_context).trigger('input');
|
|
|
|
if (value.includes('claude') || value.includes('palm-2')) {
|
|
oai_settings.temp_openai = Math.min(claude_max_temp, oai_settings.temp_openai);
|
|
$('#temp_openai').attr('max', claude_max_temp).val(oai_settings.temp_openai).trigger('input');
|
|
}
|
|
else {
|
|
oai_settings.temp_openai = Math.min(oai_max_temp, oai_settings.temp_openai);
|
|
$('#temp_openai').attr('max', oai_max_temp).val(oai_settings.temp_openai).trigger('input');
|
|
}
|
|
}
|
|
|
|
if (oai_settings.chat_completion_source == chat_completion_sources.OPENAI) {
|
|
$('#openai_max_context').attr('max', getMaxContextOpenAI(value));
|
|
oai_settings.openai_max_context = Math.min(oai_settings.openai_max_context, Number($('#openai_max_context').attr('max')));
|
|
$('#openai_max_context').val(oai_settings.openai_max_context).trigger('input');
|
|
|
|
$('#openai_reverse_proxy').attr('placeholder', 'https://api.openai.com/v1');
|
|
|
|
oai_settings.temp_openai = Math.min(oai_max_temp, oai_settings.temp_openai);
|
|
$('#temp_openai').attr('max', oai_max_temp).val(oai_settings.temp_openai).trigger('input');
|
|
}
|
|
|
|
if (oai_settings.chat_completion_source === chat_completion_sources.MISTRALAI) {
|
|
if (oai_settings.max_context_unlocked) {
|
|
$('#openai_max_context').attr('max', unlocked_max);
|
|
} else if (oai_settings.mistralai_model.includes('codestral-mamba')) {
|
|
$('#openai_max_context').attr('max', max_256k);
|
|
} else if (['mistral-large-2407', 'mistral-large-latest'].includes(oai_settings.mistralai_model)) {
|
|
$('#openai_max_context').attr('max', max_128k);
|
|
} else if (oai_settings.mistralai_model.includes('mistral-nemo')) {
|
|
$('#openai_max_context').attr('max', max_128k);
|
|
} else if (oai_settings.mistralai_model.includes('mixtral-8x22b')) {
|
|
$('#openai_max_context').attr('max', max_64k);
|
|
} else {
|
|
$('#openai_max_context').attr('max', max_32k);
|
|
}
|
|
oai_settings.openai_max_context = Math.min(oai_settings.openai_max_context, Number($('#openai_max_context').attr('max')));
|
|
$('#openai_max_context').val(oai_settings.openai_max_context).trigger('input');
|
|
|
|
//mistral also caps temp at 1.0
|
|
oai_settings.temp_openai = Math.min(claude_max_temp, oai_settings.temp_openai);
|
|
$('#temp_openai').attr('max', claude_max_temp).val(oai_settings.temp_openai).trigger('input');
|
|
}
|
|
|
|
if (oai_settings.chat_completion_source === chat_completion_sources.COHERE) {
|
|
if (oai_settings.max_context_unlocked) {
|
|
$('#openai_max_context').attr('max', unlocked_max);
|
|
}
|
|
else if (['command-light', 'command'].includes(oai_settings.cohere_model)) {
|
|
$('#openai_max_context').attr('max', max_4k);
|
|
}
|
|
else if (['command-light-nightly', 'command-nightly'].includes(oai_settings.cohere_model)) {
|
|
$('#openai_max_context').attr('max', max_8k);
|
|
}
|
|
else if (oai_settings.cohere_model.includes('command-r')) {
|
|
$('#openai_max_context').attr('max', max_128k);
|
|
}
|
|
else if (['c4ai-aya-23'].includes(oai_settings.cohere_model)) {
|
|
$('#openai_max_context').attr('max', max_8k);
|
|
}
|
|
else {
|
|
$('#openai_max_context').attr('max', max_4k);
|
|
}
|
|
oai_settings.openai_max_context = Math.min(Number($('#openai_max_context').attr('max')), oai_settings.openai_max_context);
|
|
$('#openai_max_context').val(oai_settings.openai_max_context).trigger('input');
|
|
$('#temp_openai').attr('max', claude_max_temp).val(oai_settings.temp_openai).trigger('input');
|
|
}
|
|
|
|
if (oai_settings.chat_completion_source === chat_completion_sources.PERPLEXITY) {
|
|
if (oai_settings.max_context_unlocked) {
|
|
$('#openai_max_context').attr('max', unlocked_max);
|
|
}
|
|
else if (oai_settings.perplexity_model.includes('llama-3.1')) {
|
|
const isOnline = oai_settings.perplexity_model.includes('online');
|
|
const contextSize = isOnline ? 128 * 1024 - 4000 : 128 * 1024;
|
|
$('#openai_max_context').attr('max', contextSize);
|
|
}
|
|
else if (['llama-3-sonar-small-32k-chat', 'llama-3-sonar-large-32k-chat'].includes(oai_settings.perplexity_model)) {
|
|
$('#openai_max_context').attr('max', max_32k);
|
|
}
|
|
else if (['llama-3-sonar-small-32k-online', 'llama-3-sonar-large-32k-online'].includes(oai_settings.perplexity_model)) {
|
|
$('#openai_max_context').attr('max', 28000);
|
|
}
|
|
else if (['sonar-small-chat', 'sonar-medium-chat', 'codellama-70b-instruct', 'mistral-7b-instruct', 'mixtral-8x7b-instruct', 'mixtral-8x22b-instruct'].includes(oai_settings.perplexity_model)) {
|
|
$('#openai_max_context').attr('max', max_16k);
|
|
}
|
|
else if (['llama-3-8b-instruct', 'llama-3-70b-instruct'].includes(oai_settings.perplexity_model)) {
|
|
$('#openai_max_context').attr('max', max_8k);
|
|
}
|
|
else if (['sonar-small-online', 'sonar-medium-online'].includes(oai_settings.perplexity_model)) {
|
|
$('#openai_max_context').attr('max', 12000);
|
|
}
|
|
else {
|
|
$('#openai_max_context').attr('max', max_4k);
|
|
}
|
|
oai_settings.openai_max_context = Math.min(Number($('#openai_max_context').attr('max')), oai_settings.openai_max_context);
|
|
$('#openai_max_context').val(oai_settings.openai_max_context).trigger('input');
|
|
oai_settings.temp_openai = Math.min(oai_max_temp, oai_settings.temp_openai);
|
|
$('#temp_openai').attr('max', oai_max_temp).val(oai_settings.temp_openai).trigger('input');
|
|
}
|
|
|
|
if (oai_settings.chat_completion_source == chat_completion_sources.GROQ) {
|
|
if (oai_settings.max_context_unlocked) {
|
|
$('#openai_max_context').attr('max', unlocked_max);
|
|
}
|
|
else if (oai_settings.groq_model.includes('llama-3.1')) {
|
|
$('#openai_max_context').attr('max', max_128k);
|
|
}
|
|
else if (oai_settings.groq_model.includes('llama3-groq')) {
|
|
$('#openai_max_context').attr('max', max_8k);
|
|
}
|
|
else if (['llama3-8b-8192', 'llama3-70b-8192', 'gemma-7b-it', 'gemma2-9b-it'].includes(oai_settings.groq_model)) {
|
|
$('#openai_max_context').attr('max', max_8k);
|
|
}
|
|
else if (['mixtral-8x7b-32768'].includes(oai_settings.groq_model)) {
|
|
$('#openai_max_context').attr('max', max_32k);
|
|
}
|
|
else {
|
|
$('#openai_max_context').attr('max', max_4k);
|
|
}
|
|
oai_settings.openai_max_context = Math.min(Number($('#openai_max_context').attr('max')), oai_settings.openai_max_context);
|
|
$('#openai_max_context').val(oai_settings.openai_max_context).trigger('input');
|
|
oai_settings.temp_openai = Math.min(oai_max_temp, oai_settings.temp_openai);
|
|
$('#temp_openai').attr('max', oai_max_temp).val(oai_settings.temp_openai).trigger('input');
|
|
}
|
|
|
|
if (oai_settings.chat_completion_source == chat_completion_sources.AI21) {
|
|
if (oai_settings.max_context_unlocked) {
|
|
$('#openai_max_context').attr('max', unlocked_max);
|
|
} else if (oai_settings.ai21_model.includes('jamba-1.5') || oai_settings.ai21_model.includes('jamba-instruct')) {
|
|
$('#openai_max_context').attr('max', max_256k);
|
|
}
|
|
|
|
oai_settings.openai_max_context = Math.min(Number($('#openai_max_context').attr('max')), oai_settings.openai_max_context);
|
|
$('#openai_max_context').val(oai_settings.openai_max_context).trigger('input');
|
|
$('#temp_openai').attr('max', oai_max_temp).val(oai_settings.temp_openai).trigger('input');
|
|
}
|
|
|
|
if (oai_settings.chat_completion_source == chat_completion_sources.CUSTOM) {
|
|
$('#openai_max_context').attr('max', unlocked_max);
|
|
oai_settings.openai_max_context = Math.min(Number($('#openai_max_context').attr('max')), oai_settings.openai_max_context);
|
|
$('#openai_max_context').val(oai_settings.openai_max_context).trigger('input');
|
|
$('#temp_openai').attr('max', oai_max_temp).val(oai_settings.temp_openai).trigger('input');
|
|
}
|
|
|
|
if (oai_settings.chat_completion_source === chat_completion_sources.ZEROONEAI) {
|
|
if (oai_settings.max_context_unlocked) {
|
|
$('#openai_max_context').attr('max', unlocked_max);
|
|
}
|
|
else if (['yi-large'].includes(oai_settings.zerooneai_model)) {
|
|
$('#openai_max_context').attr('max', max_32k);
|
|
}
|
|
else if (['yi-vision'].includes(oai_settings.zerooneai_model)) {
|
|
$('#openai_max_context').attr('max', max_16k);
|
|
}
|
|
else if (['yi-large-turbo'].includes(oai_settings.zerooneai_model)) {
|
|
$('#openai_max_context').attr('max', max_4k);
|
|
}
|
|
else {
|
|
$('#openai_max_context').attr('max', max_16k);
|
|
}
|
|
|
|
oai_settings.openai_max_context = Math.min(oai_settings.openai_max_context, Number($('#openai_max_context').attr('max')));
|
|
$('#openai_max_context').val(oai_settings.openai_max_context).trigger('input');
|
|
|
|
oai_settings.temp_openai = Math.min(oai_max_temp, oai_settings.temp_openai);
|
|
$('#temp_openai').attr('max', oai_max_temp).val(oai_settings.temp_openai).trigger('input');
|
|
}
|
|
if (oai_settings.chat_completion_source === chat_completion_sources.BLOCKENTROPY) {
|
|
if (oai_settings.max_context_unlocked) {
|
|
$('#openai_max_context').attr('max', unlocked_max);
|
|
}
|
|
else if (oai_settings.blockentropy_model.includes('llama3.1')) {
|
|
$('#openai_max_context').attr('max', max_16k);
|
|
}
|
|
else if (oai_settings.blockentropy_model.includes('72b')) {
|
|
$('#openai_max_context').attr('max', max_16k);
|
|
}
|
|
else if (oai_settings.blockentropy_model.includes('120b')) {
|
|
$('#openai_max_context').attr('max', max_12k);
|
|
}
|
|
else {
|
|
$('#openai_max_context').attr('max', max_8k);
|
|
}
|
|
|
|
oai_settings.openai_max_context = Math.min(oai_settings.openai_max_context, Number($('#openai_max_context').attr('max')));
|
|
$('#openai_max_context').val(oai_settings.openai_max_context).trigger('input');
|
|
|
|
oai_settings.temp_openai = Math.min(oai_max_temp, oai_settings.temp_openai);
|
|
$('#temp_openai').attr('max', oai_max_temp).val(oai_settings.temp_openai).trigger('input');
|
|
}
|
|
|
|
if (oai_settings.chat_completion_source === chat_completion_sources.COHERE) {
|
|
oai_settings.pres_pen_openai = Math.min(Math.max(0, oai_settings.pres_pen_openai), 1);
|
|
$('#pres_pen_openai').attr('max', 1).attr('min', 0).val(oai_settings.pres_pen_openai).trigger('input');
|
|
oai_settings.freq_pen_openai = Math.min(Math.max(0, oai_settings.freq_pen_openai), 1);
|
|
$('#freq_pen_openai').attr('max', 1).attr('min', 0).val(oai_settings.freq_pen_openai).trigger('input');
|
|
} else {
|
|
$('#pres_pen_openai').attr('max', 2).attr('min', -2).val(oai_settings.pres_pen_openai).trigger('input');
|
|
$('#freq_pen_openai').attr('max', 2).attr('min', -2).val(oai_settings.freq_pen_openai).trigger('input');
|
|
}
|
|
|
|
$('#openai_max_context_counter').attr('max', Number($('#openai_max_context').attr('max')));
|
|
|
|
saveSettingsDebounced();
|
|
eventSource.emit(event_types.CHATCOMPLETION_MODEL_CHANGED, value);
|
|
}
|
|
|
|
async function onOpenrouterModelSortChange() {
|
|
await getStatusOpen();
|
|
}
|
|
|
|
async function onNewPresetClick() {
|
|
const popupText = `
|
|
<h3>Preset name:</h3>
|
|
<h4>Hint: Use a character/group name to bind preset to a specific chat.</h4>`;
|
|
const name = await callPopup(popupText, 'input', oai_settings.preset_settings_openai);
|
|
|
|
if (!name) {
|
|
return;
|
|
}
|
|
|
|
await saveOpenAIPreset(name, oai_settings);
|
|
}
|
|
|
|
function onReverseProxyInput() {
|
|
oai_settings.reverse_proxy = String($(this).val());
|
|
$('.reverse_proxy_warning').toggle(oai_settings.reverse_proxy != '');
|
|
saveSettingsDebounced();
|
|
}
|
|
|
|
async function onConnectButtonClick(e) {
|
|
e.stopPropagation();
|
|
|
|
if (oai_settings.chat_completion_source == chat_completion_sources.WINDOWAI) {
|
|
return await getStatusOpen();
|
|
}
|
|
|
|
if (oai_settings.chat_completion_source == chat_completion_sources.OPENROUTER) {
|
|
const api_key_openrouter = String($('#api_key_openrouter').val()).trim();
|
|
|
|
if (api_key_openrouter.length) {
|
|
await writeSecret(SECRET_KEYS.OPENROUTER, api_key_openrouter);
|
|
}
|
|
|
|
if (!secret_state[SECRET_KEYS.OPENROUTER]) {
|
|
console.log('No secret key saved for OpenRouter');
|
|
return;
|
|
}
|
|
}
|
|
|
|
if (oai_settings.chat_completion_source == chat_completion_sources.SCALE) {
|
|
const api_key_scale = String($('#api_key_scale').val()).trim();
|
|
const scale_cookie = String($('#scale_cookie').val()).trim();
|
|
|
|
if (api_key_scale.length) {
|
|
await writeSecret(SECRET_KEYS.SCALE, api_key_scale);
|
|
}
|
|
|
|
if (scale_cookie.length) {
|
|
await writeSecret(SECRET_KEYS.SCALE_COOKIE, scale_cookie);
|
|
}
|
|
|
|
if (!oai_settings.api_url_scale && !oai_settings.use_alt_scale) {
|
|
console.log('No API URL saved for Scale');
|
|
return;
|
|
}
|
|
|
|
if (!secret_state[SECRET_KEYS.SCALE] && !oai_settings.use_alt_scale) {
|
|
console.log('No secret key saved for Scale');
|
|
return;
|
|
}
|
|
|
|
if (!secret_state[SECRET_KEYS.SCALE_COOKIE] && oai_settings.use_alt_scale) {
|
|
console.log('No cookie set for Scale');
|
|
return;
|
|
}
|
|
}
|
|
|
|
if (oai_settings.chat_completion_source == chat_completion_sources.MAKERSUITE) {
|
|
const api_key_makersuite = String($('#api_key_makersuite').val()).trim();
|
|
|
|
if (api_key_makersuite.length) {
|
|
await writeSecret(SECRET_KEYS.MAKERSUITE, api_key_makersuite);
|
|
}
|
|
|
|
if (!secret_state[SECRET_KEYS.MAKERSUITE] && !oai_settings.reverse_proxy) {
|
|
console.log('No secret key saved for Google AI Studio');
|
|
return;
|
|
}
|
|
}
|
|
|
|
if (oai_settings.chat_completion_source == chat_completion_sources.CLAUDE) {
|
|
const api_key_claude = String($('#api_key_claude').val()).trim();
|
|
|
|
if (api_key_claude.length) {
|
|
await writeSecret(SECRET_KEYS.CLAUDE, api_key_claude);
|
|
}
|
|
|
|
if (!secret_state[SECRET_KEYS.CLAUDE] && !oai_settings.reverse_proxy) {
|
|
console.log('No secret key saved for Claude');
|
|
return;
|
|
}
|
|
}
|
|
|
|
if (oai_settings.chat_completion_source == chat_completion_sources.OPENAI) {
|
|
const api_key_openai = String($('#api_key_openai').val()).trim();
|
|
|
|
if (api_key_openai.length) {
|
|
await writeSecret(SECRET_KEYS.OPENAI, api_key_openai);
|
|
}
|
|
|
|
if (!secret_state[SECRET_KEYS.OPENAI] && !oai_settings.reverse_proxy) {
|
|
console.log('No secret key saved for OpenAI');
|
|
return;
|
|
}
|
|
}
|
|
|
|
if (oai_settings.chat_completion_source == chat_completion_sources.AI21) {
|
|
const api_key_ai21 = String($('#api_key_ai21').val()).trim();
|
|
|
|
if (api_key_ai21.length) {
|
|
await writeSecret(SECRET_KEYS.AI21, api_key_ai21);
|
|
}
|
|
|
|
if (!secret_state[SECRET_KEYS.AI21]) {
|
|
console.log('No secret key saved for AI21');
|
|
return;
|
|
}
|
|
}
|
|
|
|
if (oai_settings.chat_completion_source == chat_completion_sources.MISTRALAI) {
|
|
const api_key_mistralai = String($('#api_key_mistralai').val()).trim();
|
|
|
|
if (api_key_mistralai.length) {
|
|
await writeSecret(SECRET_KEYS.MISTRALAI, api_key_mistralai);
|
|
}
|
|
|
|
if (!secret_state[SECRET_KEYS.MISTRALAI] && !oai_settings.reverse_proxy) {
|
|
console.log('No secret key saved for MistralAI');
|
|
return;
|
|
}
|
|
}
|
|
|
|
if (oai_settings.chat_completion_source == chat_completion_sources.CUSTOM) {
|
|
const api_key_custom = String($('#api_key_custom').val()).trim();
|
|
|
|
if (api_key_custom.length) {
|
|
await writeSecret(SECRET_KEYS.CUSTOM, api_key_custom);
|
|
}
|
|
|
|
if (!oai_settings.custom_url) {
|
|
console.log('No API URL saved for Custom');
|
|
return;
|
|
}
|
|
}
|
|
|
|
if (oai_settings.chat_completion_source == chat_completion_sources.COHERE) {
|
|
const api_key_cohere = String($('#api_key_cohere').val()).trim();
|
|
|
|
if (api_key_cohere.length) {
|
|
await writeSecret(SECRET_KEYS.COHERE, api_key_cohere);
|
|
}
|
|
|
|
if (!secret_state[SECRET_KEYS.COHERE]) {
|
|
console.log('No secret key saved for Cohere');
|
|
return;
|
|
}
|
|
}
|
|
|
|
if (oai_settings.chat_completion_source == chat_completion_sources.PERPLEXITY) {
|
|
const api_key_perplexity = String($('#api_key_perplexity').val()).trim();
|
|
|
|
if (api_key_perplexity.length) {
|
|
await writeSecret(SECRET_KEYS.PERPLEXITY, api_key_perplexity);
|
|
}
|
|
|
|
if (!secret_state[SECRET_KEYS.PERPLEXITY]) {
|
|
console.log('No secret key saved for Perplexity');
|
|
return;
|
|
}
|
|
}
|
|
|
|
if (oai_settings.chat_completion_source == chat_completion_sources.GROQ) {
|
|
const api_key_groq = String($('#api_key_groq').val()).trim();
|
|
|
|
if (api_key_groq.length) {
|
|
await writeSecret(SECRET_KEYS.GROQ, api_key_groq);
|
|
}
|
|
|
|
if (!secret_state[SECRET_KEYS.GROQ]) {
|
|
console.log('No secret key saved for Groq');
|
|
return;
|
|
}
|
|
}
|
|
|
|
if (oai_settings.chat_completion_source == chat_completion_sources.ZEROONEAI) {
|
|
const api_key_01ai = String($('#api_key_01ai').val()).trim();
|
|
|
|
if (api_key_01ai.length) {
|
|
await writeSecret(SECRET_KEYS.ZEROONEAI, api_key_01ai);
|
|
}
|
|
|
|
if (!secret_state[SECRET_KEYS.ZEROONEAI]) {
|
|
console.log('No secret key saved for 01.AI');
|
|
return;
|
|
}
|
|
}
|
|
if (oai_settings.chat_completion_source == chat_completion_sources.BLOCKENTROPY) {
|
|
const api_key_blockentropy = String($('#api_key_blockentropy').val()).trim();
|
|
|
|
if (api_key_blockentropy.length) {
|
|
await writeSecret(SECRET_KEYS.BLOCKENTROPY, api_key_blockentropy);
|
|
}
|
|
|
|
if (!secret_state[SECRET_KEYS.BLOCKENTROPY]) {
|
|
console.log('No secret key saved for Block Entropy');
|
|
return;
|
|
}
|
|
}
|
|
|
|
startStatusLoading();
|
|
saveSettingsDebounced();
|
|
await getStatusOpen();
|
|
}
|
|
|
|
function toggleChatCompletionForms() {
|
|
if (oai_settings.chat_completion_source == chat_completion_sources.CLAUDE) {
|
|
$('#model_claude_select').trigger('change');
|
|
}
|
|
else if (oai_settings.chat_completion_source == chat_completion_sources.OPENAI) {
|
|
if (oai_settings.show_external_models && (!Array.isArray(model_list) || model_list.length == 0)) {
|
|
// Wait until the models list is loaded so that we could show a proper saved model
|
|
}
|
|
else {
|
|
$('#model_openai_select').trigger('change');
|
|
}
|
|
}
|
|
else if (oai_settings.chat_completion_source == chat_completion_sources.WINDOWAI) {
|
|
$('#model_windowai_select').trigger('change');
|
|
}
|
|
else if (oai_settings.chat_completion_source == chat_completion_sources.SCALE) {
|
|
$('#model_scale_select').trigger('change');
|
|
}
|
|
else if (oai_settings.chat_completion_source == chat_completion_sources.MAKERSUITE) {
|
|
$('#model_google_select').trigger('change');
|
|
}
|
|
else if (oai_settings.chat_completion_source == chat_completion_sources.OPENROUTER) {
|
|
$('#model_openrouter_select').trigger('change');
|
|
}
|
|
else if (oai_settings.chat_completion_source == chat_completion_sources.AI21) {
|
|
$('#model_ai21_select').trigger('change');
|
|
}
|
|
else if (oai_settings.chat_completion_source == chat_completion_sources.MISTRALAI) {
|
|
$('#model_mistralai_select').trigger('change');
|
|
}
|
|
else if (oai_settings.chat_completion_source == chat_completion_sources.COHERE) {
|
|
$('#model_cohere_select').trigger('change');
|
|
}
|
|
else if (oai_settings.chat_completion_source == chat_completion_sources.PERPLEXITY) {
|
|
$('#model_perplexity_select').trigger('change');
|
|
}
|
|
else if (oai_settings.chat_completion_source == chat_completion_sources.GROQ) {
|
|
$('#model_groq_select').trigger('change');
|
|
}
|
|
else if (oai_settings.chat_completion_source == chat_completion_sources.ZEROONEAI) {
|
|
$('#model_01ai_select').trigger('change');
|
|
}
|
|
else if (oai_settings.chat_completion_source == chat_completion_sources.CUSTOM) {
|
|
$('#model_custom_select').trigger('change');
|
|
}
|
|
else if (oai_settings.chat_completion_source == chat_completion_sources.BLOCKENTROPY) {
|
|
$('#model_blockentropy_select').trigger('change');
|
|
}
|
|
$('[data-source]').each(function () {
|
|
const validSources = $(this).data('source').split(',');
|
|
$(this).toggle(validSources.includes(oai_settings.chat_completion_source));
|
|
});
|
|
|
|
if (chat_completion_sources.CLAUDE == oai_settings.chat_completion_source) {
|
|
$('#claude_human_sysprompt_message_block').toggle(oai_settings.claude_use_sysprompt);
|
|
}
|
|
}
|
|
|
|
async function testApiConnection() {
|
|
// Check if the previous request is still in progress
|
|
if (is_send_press) {
|
|
toastr.info(t`Please wait for the previous request to complete.`);
|
|
return;
|
|
}
|
|
|
|
try {
|
|
const reply = await sendOpenAIRequest('quiet', [{ 'role': 'user', 'content': 'Hi' }]);
|
|
console.log(reply);
|
|
toastr.success(t`API connection successful!`);
|
|
}
|
|
catch (err) {
|
|
toastr.error(t`Could not get a reply from API. Check your connection settings / API key and try again.`);
|
|
}
|
|
}
|
|
|
|
function reconnectOpenAi() {
|
|
if (main_api == 'openai') {
|
|
setOnlineStatus('no_connection');
|
|
resultCheckStatus();
|
|
$('#api_button_openai').trigger('click');
|
|
}
|
|
}
|
|
|
|
function onProxyPasswordShowClick() {
|
|
const $input = $('#openai_proxy_password');
|
|
const type = $input.attr('type') === 'password' ? 'text' : 'password';
|
|
$input.attr('type', type);
|
|
$(this).toggleClass('fa-eye-slash fa-eye');
|
|
}
|
|
|
|
function updateScaleForm() {
|
|
if (oai_settings.use_alt_scale) {
|
|
$('#normal_scale_form').css('display', 'none');
|
|
$('#alt_scale_form').css('display', '');
|
|
} else {
|
|
$('#normal_scale_form').css('display', '');
|
|
$('#alt_scale_form').css('display', 'none');
|
|
}
|
|
}
|
|
|
|
async function onCustomizeParametersClick() {
|
|
const template = $(await renderTemplateAsync('customEndpointAdditionalParameters'));
|
|
|
|
template.find('#custom_include_body').val(oai_settings.custom_include_body).on('input', function () {
|
|
oai_settings.custom_include_body = String($(this).val());
|
|
saveSettingsDebounced();
|
|
});
|
|
|
|
template.find('#custom_exclude_body').val(oai_settings.custom_exclude_body).on('input', function () {
|
|
oai_settings.custom_exclude_body = String($(this).val());
|
|
saveSettingsDebounced();
|
|
});
|
|
|
|
template.find('#custom_include_headers').val(oai_settings.custom_include_headers).on('input', function () {
|
|
oai_settings.custom_include_headers = String($(this).val());
|
|
saveSettingsDebounced();
|
|
});
|
|
|
|
callPopup(template, 'text', '', { wide: true, large: true });
|
|
}
|
|
|
|
/**
|
|
* Check if the model supports image inlining
|
|
* @returns {boolean} True if the model supports image inlining
|
|
*/
|
|
export function isImageInliningSupported() {
|
|
if (main_api !== 'openai') {
|
|
return false;
|
|
}
|
|
|
|
if (!oai_settings.image_inlining) {
|
|
return false;
|
|
}
|
|
|
|
// gultra just isn't being offered as multimodal, thanks google.
|
|
const visionSupportedModels = [
|
|
'gpt-4-vision',
|
|
'gemini-1.5-flash',
|
|
'gemini-1.5-flash-latest',
|
|
'gemini-1.5-flash-001',
|
|
'gemini-1.5-flash-exp-0827',
|
|
'gemini-1.5-flash-8b-exp-0827',
|
|
'gemini-1.0-pro-vision-latest',
|
|
'gemini-1.5-pro',
|
|
'gemini-1.5-pro-latest',
|
|
'gemini-1.5-pro-001',
|
|
'gemini-1.5-pro-exp-0801',
|
|
'gemini-1.5-pro-exp-0827',
|
|
'gemini-pro-vision',
|
|
'claude-3',
|
|
'claude-3-5',
|
|
'gpt-4-turbo',
|
|
'gpt-4o',
|
|
'gpt-4o-mini',
|
|
'chatgpt-4o-latest',
|
|
'yi-vision',
|
|
];
|
|
|
|
switch (oai_settings.chat_completion_source) {
|
|
case chat_completion_sources.OPENAI:
|
|
return visionSupportedModels.some(model => oai_settings.openai_model.includes(model) && !oai_settings.openai_model.includes('gpt-4-turbo-preview'));
|
|
case chat_completion_sources.MAKERSUITE:
|
|
return visionSupportedModels.some(model => oai_settings.google_model.includes(model));
|
|
case chat_completion_sources.CLAUDE:
|
|
return visionSupportedModels.some(model => oai_settings.claude_model.includes(model));
|
|
case chat_completion_sources.OPENROUTER:
|
|
return !oai_settings.openrouter_force_instruct;
|
|
case chat_completion_sources.CUSTOM:
|
|
return true;
|
|
case chat_completion_sources.ZEROONEAI:
|
|
return visionSupportedModels.some(model => oai_settings.zerooneai_model.includes(model));
|
|
default:
|
|
return false;
|
|
}
|
|
}
|
|
|
|
/**
|
|
* Proxy stuff
|
|
*/
|
|
export function loadProxyPresets(settings) {
|
|
let proxyPresets = settings.proxies;
|
|
selected_proxy = settings.selected_proxy || selected_proxy;
|
|
if (!Array.isArray(proxyPresets) || proxyPresets.length === 0) {
|
|
proxyPresets = proxies;
|
|
} else {
|
|
proxies = proxyPresets;
|
|
}
|
|
|
|
$('#openai_proxy_preset').empty();
|
|
|
|
for (const preset of proxyPresets) {
|
|
const option = document.createElement('option');
|
|
option.innerText = preset.name;
|
|
option.value = preset.name;
|
|
option.selected = preset.name === 'None';
|
|
$('#openai_proxy_preset').append(option);
|
|
}
|
|
$('#openai_proxy_preset').val(selected_proxy.name);
|
|
setProxyPreset(selected_proxy.name, selected_proxy.url, selected_proxy.password);
|
|
}
|
|
|
|
function setProxyPreset(name, url, password) {
|
|
const preset = proxies.find(p => p.name === name);
|
|
if (preset) {
|
|
preset.url = url;
|
|
preset.password = password;
|
|
selected_proxy = preset;
|
|
} else {
|
|
let new_proxy = { name, url, password };
|
|
proxies.push(new_proxy);
|
|
selected_proxy = new_proxy;
|
|
}
|
|
|
|
$('#openai_reverse_proxy_name').val(name);
|
|
oai_settings.reverse_proxy = url;
|
|
$('#openai_reverse_proxy').val(oai_settings.reverse_proxy);
|
|
oai_settings.proxy_password = password;
|
|
$('#openai_proxy_password').val(oai_settings.proxy_password);
|
|
reconnectOpenAi();
|
|
}
|
|
|
|
function onProxyPresetChange() {
|
|
const value = String($('#openai_proxy_preset').find(':selected').val());
|
|
const selectedPreset = proxies.find(preset => preset.name === value);
|
|
|
|
if (selectedPreset) {
|
|
setProxyPreset(selectedPreset.name, selectedPreset.url, selectedPreset.password);
|
|
} else {
|
|
console.error(t`Proxy preset '${value}' not found in proxies array.`);
|
|
}
|
|
saveSettingsDebounced();
|
|
}
|
|
|
|
$('#save_proxy').on('click', async function () {
|
|
const presetName = $('#openai_reverse_proxy_name').val();
|
|
const reverseProxy = $('#openai_reverse_proxy').val();
|
|
const proxyPassword = $('#openai_proxy_password').val();
|
|
|
|
setProxyPreset(presetName, reverseProxy, proxyPassword);
|
|
saveSettingsDebounced();
|
|
toastr.success(t`Proxy Saved`);
|
|
if ($('#openai_proxy_preset').val() !== presetName) {
|
|
const option = document.createElement('option');
|
|
option.text = presetName;
|
|
option.value = presetName;
|
|
|
|
$('#openai_proxy_preset').append(option);
|
|
}
|
|
$('#openai_proxy_preset').val(presetName);
|
|
});
|
|
|
|
$('#delete_proxy').on('click', async function () {
|
|
const presetName = $('#openai_reverse_proxy_name').val();
|
|
const index = proxies.findIndex(preset => preset.name === presetName);
|
|
|
|
if (index !== -1) {
|
|
proxies.splice(index, 1);
|
|
$('#openai_proxy_preset option[value="' + presetName + '"]').remove();
|
|
|
|
if (proxies.length > 0) {
|
|
const newIndex = Math.max(0, index - 1);
|
|
selected_proxy = proxies[newIndex];
|
|
} else {
|
|
selected_proxy = { name: 'None', url: '', password: '' };
|
|
}
|
|
|
|
$('#openai_reverse_proxy_name').val(selected_proxy.name);
|
|
oai_settings.reverse_proxy = selected_proxy.url;
|
|
$('#openai_reverse_proxy').val(selected_proxy.url);
|
|
oai_settings.proxy_password = selected_proxy.password;
|
|
$('#openai_proxy_password').val(selected_proxy.password);
|
|
|
|
saveSettingsDebounced();
|
|
$('#openai_proxy_preset').val(selected_proxy.name);
|
|
toastr.success(t`Proxy Deleted`);
|
|
} else {
|
|
toastr.error(t`Could not find proxy with name '${presetName}'`);
|
|
}
|
|
});
|
|
|
|
function runProxyCallback(_, value) {
|
|
if (!value) {
|
|
return selected_proxy?.name || '';
|
|
}
|
|
|
|
const proxyNames = proxies.map(preset => preset.name);
|
|
const fuse = new Fuse(proxyNames);
|
|
const result = fuse.search(value);
|
|
|
|
if (result.length === 0) {
|
|
toastr.warning(`Proxy preset "${value}" not found`);
|
|
return '';
|
|
}
|
|
|
|
const foundName = result[0].item;
|
|
$('#openai_proxy_preset').val(foundName).trigger('change');
|
|
return foundName;
|
|
}
|
|
|
|
export function initOpenai() {
|
|
SlashCommandParser.addCommandObject(SlashCommand.fromProps({
|
|
name: 'proxy',
|
|
callback: runProxyCallback,
|
|
returns: 'current proxy',
|
|
namedArgumentList: [],
|
|
unnamedArgumentList: [
|
|
SlashCommandArgument.fromProps({
|
|
description: 'name',
|
|
typeList: [ARGUMENT_TYPE.STRING],
|
|
isRequired: true,
|
|
enumProvider: () => proxies.map(preset => new SlashCommandEnumValue(preset.name, preset.url)),
|
|
}),
|
|
],
|
|
helpString: 'Sets a proxy preset by name.',
|
|
}));
|
|
}
|
|
|
|
$(document).ready(async function () {
|
|
$('#test_api_button').on('click', testApiConnection);
|
|
|
|
$('#scale-alt').on('change', function () {
|
|
oai_settings.use_alt_scale = !!$('#scale-alt').prop('checked');
|
|
saveSettingsDebounced();
|
|
updateScaleForm();
|
|
});
|
|
|
|
$('#temp_openai').on('input', function () {
|
|
oai_settings.temp_openai = Number($(this).val());
|
|
$('#temp_counter_openai').val(Number($(this).val()).toFixed(2));
|
|
saveSettingsDebounced();
|
|
});
|
|
|
|
$('#freq_pen_openai').on('input', function () {
|
|
oai_settings.freq_pen_openai = Number($(this).val());
|
|
$('#freq_pen_counter_openai').val(Number($(this).val()).toFixed(2));
|
|
saveSettingsDebounced();
|
|
});
|
|
|
|
$('#pres_pen_openai').on('input', function () {
|
|
oai_settings.pres_pen_openai = Number($(this).val());
|
|
$('#pres_pen_counter_openai').val(Number($(this).val()).toFixed(2));
|
|
saveSettingsDebounced();
|
|
});
|
|
|
|
$('#top_p_openai').on('input', function () {
|
|
oai_settings.top_p_openai = Number($(this).val());
|
|
$('#top_p_counter_openai').val(Number($(this).val()).toFixed(2));
|
|
saveSettingsDebounced();
|
|
});
|
|
|
|
$('#top_k_openai').on('input', function () {
|
|
oai_settings.top_k_openai = Number($(this).val());
|
|
$('#top_k_counter_openai').val(Number($(this).val()).toFixed(0));
|
|
saveSettingsDebounced();
|
|
});
|
|
|
|
$('#top_a_openai').on('input', function () {
|
|
oai_settings.top_a_openai = Number($(this).val());
|
|
$('#top_a_counter_openai').val(Number($(this).val()));
|
|
saveSettingsDebounced();
|
|
});
|
|
|
|
$('#min_p_openai').on('input', function () {
|
|
oai_settings.min_p_openai = Number($(this).val());
|
|
$('#min_p_counter_openai').val(Number($(this).val()));
|
|
saveSettingsDebounced();
|
|
});
|
|
|
|
$('#repetition_penalty_openai').on('input', function () {
|
|
oai_settings.repetition_penalty_openai = Number($(this).val());
|
|
$('#repetition_penalty_counter_openai').val(Number($(this).val()));
|
|
saveSettingsDebounced();
|
|
});
|
|
|
|
$('#openai_max_context').on('input', function () {
|
|
oai_settings.openai_max_context = Number($(this).val());
|
|
$('#openai_max_context_counter').val(`${$(this).val()}`);
|
|
calculateOpenRouterCost();
|
|
saveSettingsDebounced();
|
|
});
|
|
|
|
$('#openai_max_tokens').on('input', function () {
|
|
oai_settings.openai_max_tokens = Number($(this).val());
|
|
calculateOpenRouterCost();
|
|
saveSettingsDebounced();
|
|
});
|
|
|
|
$('#stream_toggle').on('change', function () {
|
|
oai_settings.stream_openai = !!$('#stream_toggle').prop('checked');
|
|
saveSettingsDebounced();
|
|
});
|
|
|
|
$('#websearch_toggle').on('change', function () {
|
|
oai_settings.websearch_cohere = !!$('#websearch_toggle').prop('checked');
|
|
saveSettingsDebounced();
|
|
});
|
|
|
|
$('#wrap_in_quotes').on('change', function () {
|
|
oai_settings.wrap_in_quotes = !!$('#wrap_in_quotes').prop('checked');
|
|
saveSettingsDebounced();
|
|
});
|
|
|
|
$('#claude_use_sysprompt').on('change', function () {
|
|
oai_settings.claude_use_sysprompt = !!$('#claude_use_sysprompt').prop('checked');
|
|
$('#claude_human_sysprompt_message_block').toggle(oai_settings.claude_use_sysprompt);
|
|
saveSettingsDebounced();
|
|
});
|
|
|
|
$('#use_makersuite_sysprompt').on('change', function () {
|
|
oai_settings.use_makersuite_sysprompt = !!$('#use_makersuite_sysprompt').prop('checked');
|
|
saveSettingsDebounced();
|
|
});
|
|
|
|
$('#send_if_empty_textarea').on('input', function () {
|
|
oai_settings.send_if_empty = String($('#send_if_empty_textarea').val());
|
|
saveSettingsDebounced();
|
|
});
|
|
|
|
$('#impersonation_prompt_textarea').on('input', function () {
|
|
oai_settings.impersonation_prompt = String($('#impersonation_prompt_textarea').val());
|
|
saveSettingsDebounced();
|
|
});
|
|
|
|
$('#newchat_prompt_textarea').on('input', function () {
|
|
oai_settings.new_chat_prompt = String($('#newchat_prompt_textarea').val());
|
|
saveSettingsDebounced();
|
|
});
|
|
|
|
$('#newgroupchat_prompt_textarea').on('input', function () {
|
|
oai_settings.new_group_chat_prompt = String($('#newgroupchat_prompt_textarea').val());
|
|
saveSettingsDebounced();
|
|
});
|
|
|
|
$('#newexamplechat_prompt_textarea').on('input', function () {
|
|
oai_settings.new_example_chat_prompt = String($('#newexamplechat_prompt_textarea').val());
|
|
saveSettingsDebounced();
|
|
});
|
|
|
|
$('#continue_nudge_prompt_textarea').on('input', function () {
|
|
oai_settings.continue_nudge_prompt = String($('#continue_nudge_prompt_textarea').val());
|
|
saveSettingsDebounced();
|
|
});
|
|
|
|
$('#wi_format_textarea').on('input', function () {
|
|
oai_settings.wi_format = String($('#wi_format_textarea').val());
|
|
saveSettingsDebounced();
|
|
});
|
|
|
|
$('#scenario_format_textarea').on('input', function () {
|
|
oai_settings.scenario_format = String($('#scenario_format_textarea').val());
|
|
saveSettingsDebounced();
|
|
});
|
|
|
|
$('#personality_format_textarea').on('input', function () {
|
|
oai_settings.personality_format = String($('#personality_format_textarea').val());
|
|
saveSettingsDebounced();
|
|
});
|
|
|
|
$('#group_nudge_prompt_textarea').on('input', function () {
|
|
oai_settings.group_nudge_prompt = String($('#group_nudge_prompt_textarea').val());
|
|
saveSettingsDebounced();
|
|
});
|
|
|
|
$('#update_oai_preset').on('click', async function () {
|
|
const name = oai_settings.preset_settings_openai;
|
|
await saveOpenAIPreset(name, oai_settings);
|
|
toastr.success('Preset updated');
|
|
});
|
|
|
|
$('#impersonation_prompt_restore').on('click', function () {
|
|
oai_settings.impersonation_prompt = default_impersonation_prompt;
|
|
$('#impersonation_prompt_textarea').val(oai_settings.impersonation_prompt);
|
|
saveSettingsDebounced();
|
|
});
|
|
|
|
$('#newchat_prompt_restore').on('click', function () {
|
|
oai_settings.new_chat_prompt = default_new_chat_prompt;
|
|
$('#newchat_prompt_textarea').val(oai_settings.new_chat_prompt);
|
|
saveSettingsDebounced();
|
|
});
|
|
|
|
$('#claude_human_sysprompt_message_restore').on('click', function () {
|
|
oai_settings.human_sysprompt_message = default_claude_human_sysprompt_message;
|
|
$('#claude_human_sysprompt_textarea').val(oai_settings.human_sysprompt_message);
|
|
saveSettingsDebounced();
|
|
});
|
|
|
|
$('#newgroupchat_prompt_restore').on('click', function () {
|
|
oai_settings.new_group_chat_prompt = default_new_group_chat_prompt;
|
|
$('#newgroupchat_prompt_textarea').val(oai_settings.new_group_chat_prompt);
|
|
saveSettingsDebounced();
|
|
});
|
|
|
|
$('#newexamplechat_prompt_restore').on('click', function () {
|
|
oai_settings.new_example_chat_prompt = default_new_example_chat_prompt;
|
|
$('#newexamplechat_prompt_textarea').val(oai_settings.new_example_chat_prompt);
|
|
saveSettingsDebounced();
|
|
});
|
|
|
|
$('#continue_nudge_prompt_restore').on('click', function () {
|
|
oai_settings.continue_nudge_prompt = default_continue_nudge_prompt;
|
|
$('#continue_nudge_prompt_textarea').val(oai_settings.continue_nudge_prompt);
|
|
saveSettingsDebounced();
|
|
});
|
|
|
|
$('#wi_format_restore').on('click', function () {
|
|
oai_settings.wi_format = default_wi_format;
|
|
$('#wi_format_textarea').val(oai_settings.wi_format);
|
|
saveSettingsDebounced();
|
|
});
|
|
|
|
$('#scenario_format_restore').on('click', function () {
|
|
oai_settings.scenario_format = default_scenario_format;
|
|
$('#scenario_format_textarea').val(oai_settings.scenario_format);
|
|
saveSettingsDebounced();
|
|
});
|
|
|
|
$('#personality_format_restore').on('click', function () {
|
|
oai_settings.personality_format = default_personality_format;
|
|
$('#personality_format_textarea').val(oai_settings.personality_format);
|
|
saveSettingsDebounced();
|
|
});
|
|
|
|
$('#group_nudge_prompt_restore').on('click', function () {
|
|
oai_settings.group_nudge_prompt = default_group_nudge_prompt;
|
|
$('#group_nudge_prompt_textarea').val(oai_settings.group_nudge_prompt);
|
|
saveSettingsDebounced();
|
|
});
|
|
|
|
$('#openai_bypass_status_check').on('input', function () {
|
|
oai_settings.bypass_status_check = !!$(this).prop('checked');
|
|
getStatusOpen();
|
|
saveSettingsDebounced();
|
|
});
|
|
|
|
$('#chat_completion_source').on('change', function () {
|
|
oai_settings.chat_completion_source = String($(this).find(':selected').val());
|
|
toggleChatCompletionForms();
|
|
saveSettingsDebounced();
|
|
reconnectOpenAi();
|
|
forceCharacterEditorTokenize();
|
|
eventSource.emit(event_types.CHATCOMPLETION_SOURCE_CHANGED, oai_settings.chat_completion_source);
|
|
});
|
|
|
|
$('#oai_max_context_unlocked').on('input', function (_e, data) {
|
|
oai_settings.max_context_unlocked = !!$(this).prop('checked');
|
|
if (data?.source !== 'preset') {
|
|
$('#chat_completion_source').trigger('change');
|
|
}
|
|
saveSettingsDebounced();
|
|
});
|
|
|
|
$('#api_url_scale').on('input', function () {
|
|
oai_settings.api_url_scale = String($(this).val());
|
|
saveSettingsDebounced();
|
|
});
|
|
|
|
$('#openai_show_external_models').on('input', function () {
|
|
oai_settings.show_external_models = !!$(this).prop('checked');
|
|
$('#openai_external_category').toggle(oai_settings.show_external_models);
|
|
saveSettingsDebounced();
|
|
});
|
|
|
|
$('#openai_proxy_password').on('input', function () {
|
|
oai_settings.proxy_password = String($(this).val());
|
|
saveSettingsDebounced();
|
|
});
|
|
|
|
$('#claude_assistant_prefill').on('input', function () {
|
|
oai_settings.assistant_prefill = String($(this).val());
|
|
saveSettingsDebounced();
|
|
});
|
|
|
|
$('#claude_assistant_impersonation').on('input', function () {
|
|
oai_settings.assistant_impersonation = String($(this).val());
|
|
saveSettingsDebounced();
|
|
});
|
|
|
|
$('#claude_human_sysprompt_textarea').on('input', function () {
|
|
oai_settings.human_sysprompt_message = String($('#claude_human_sysprompt_textarea').val());
|
|
saveSettingsDebounced();
|
|
});
|
|
|
|
$('#openrouter_use_fallback').on('input', function () {
|
|
oai_settings.openrouter_use_fallback = !!$(this).prop('checked');
|
|
saveSettingsDebounced();
|
|
});
|
|
|
|
$('#openrouter_force_instruct').on('input', function () {
|
|
oai_settings.openrouter_force_instruct = !!$(this).prop('checked');
|
|
saveSettingsDebounced();
|
|
});
|
|
|
|
$('#openrouter_group_models').on('input', function () {
|
|
oai_settings.openrouter_group_models = !!$(this).prop('checked');
|
|
saveSettingsDebounced();
|
|
});
|
|
|
|
$('#openrouter_sort_models').on('input', function () {
|
|
oai_settings.openrouter_sort_models = String($(this).val());
|
|
saveSettingsDebounced();
|
|
});
|
|
|
|
$('#openrouter_allow_fallbacks').on('input', function () {
|
|
oai_settings.openrouter_allow_fallbacks = !!$(this).prop('checked');
|
|
saveSettingsDebounced();
|
|
});
|
|
|
|
$('#squash_system_messages').on('input', function () {
|
|
oai_settings.squash_system_messages = !!$(this).prop('checked');
|
|
saveSettingsDebounced();
|
|
});
|
|
|
|
$('#openai_image_inlining').on('input', function () {
|
|
oai_settings.image_inlining = !!$(this).prop('checked');
|
|
saveSettingsDebounced();
|
|
});
|
|
|
|
$('#openai_inline_image_quality').on('input', function () {
|
|
oai_settings.inline_image_quality = String($(this).val());
|
|
saveSettingsDebounced();
|
|
});
|
|
|
|
$('#continue_prefill').on('input', function () {
|
|
oai_settings.continue_prefill = !!$(this).prop('checked');
|
|
saveSettingsDebounced();
|
|
});
|
|
|
|
$('#openai_function_calling').on('input', function () {
|
|
oai_settings.function_calling = !!$(this).prop('checked');
|
|
saveSettingsDebounced();
|
|
});
|
|
|
|
$('#seed_openai').on('input', function () {
|
|
oai_settings.seed = Number($(this).val());
|
|
saveSettingsDebounced();
|
|
});
|
|
|
|
$('#n_openai').on('input', function () {
|
|
oai_settings.n = Number($(this).val());
|
|
saveSettingsDebounced();
|
|
});
|
|
|
|
$('#custom_api_url_text').on('input', function () {
|
|
oai_settings.custom_url = String($(this).val());
|
|
saveSettingsDebounced();
|
|
});
|
|
|
|
$('#custom_model_id').on('input', function () {
|
|
oai_settings.custom_model = String($(this).val());
|
|
saveSettingsDebounced();
|
|
});
|
|
|
|
$('#custom_prompt_post_processing').on('change', function () {
|
|
oai_settings.custom_prompt_post_processing = String($(this).val());
|
|
saveSettingsDebounced();
|
|
});
|
|
|
|
$('#names_behavior').on('input', function () {
|
|
oai_settings.names_behavior = Number($(this).val());
|
|
setNamesBehaviorControls();
|
|
saveSettingsDebounced();
|
|
});
|
|
|
|
$('#character_names_none').on('input', function () {
|
|
oai_settings.names_behavior = character_names_behavior.NONE;
|
|
setNamesBehaviorControls();
|
|
saveSettingsDebounced();
|
|
});
|
|
|
|
$('#character_names_default').on('input', function () {
|
|
oai_settings.names_behavior = character_names_behavior.DEFAULT;
|
|
setNamesBehaviorControls();
|
|
saveSettingsDebounced();
|
|
});
|
|
|
|
$('#character_names_completion').on('input', function () {
|
|
oai_settings.names_behavior = character_names_behavior.COMPLETION;
|
|
setNamesBehaviorControls();
|
|
saveSettingsDebounced();
|
|
});
|
|
|
|
$('#character_names_content').on('input', function () {
|
|
oai_settings.names_behavior = character_names_behavior.CONTENT;
|
|
setNamesBehaviorControls();
|
|
saveSettingsDebounced();
|
|
});
|
|
|
|
$('#continue_postifx').on('input', function () {
|
|
oai_settings.continue_postfix = String($(this).val());
|
|
setContinuePostfixControls();
|
|
saveSettingsDebounced();
|
|
});
|
|
|
|
$('#continue_postfix_none').on('input', function () {
|
|
oai_settings.continue_postfix = continue_postfix_types.NONE;
|
|
setContinuePostfixControls();
|
|
saveSettingsDebounced();
|
|
});
|
|
|
|
$('#continue_postfix_space').on('input', function () {
|
|
oai_settings.continue_postfix = continue_postfix_types.SPACE;
|
|
setContinuePostfixControls();
|
|
saveSettingsDebounced();
|
|
});
|
|
|
|
$('#continue_postfix_newline').on('input', function () {
|
|
oai_settings.continue_postfix = continue_postfix_types.NEWLINE;
|
|
setContinuePostfixControls();
|
|
saveSettingsDebounced();
|
|
});
|
|
|
|
$('#continue_postfix_double_newline').on('input', function () {
|
|
oai_settings.continue_postfix = continue_postfix_types.DOUBLE_NEWLINE;
|
|
setContinuePostfixControls();
|
|
saveSettingsDebounced();
|
|
});
|
|
|
|
if (!CSS.supports('field-sizing', 'content')) {
|
|
$(document).on('input', '#openai_settings .autoSetHeight', function () {
|
|
resetScrollHeight($(this));
|
|
});
|
|
}
|
|
|
|
if (!isMobile()) {
|
|
$('#model_openrouter_select').select2({
|
|
placeholder: 'Select a model',
|
|
searchInputPlaceholder: 'Search models...',
|
|
searchInputCssClass: 'text_pole',
|
|
width: '100%',
|
|
templateResult: getOpenRouterModelTemplate,
|
|
});
|
|
}
|
|
|
|
$('#openrouter_providers_chat').on('change', function () {
|
|
const selectedProviders = $(this).val();
|
|
|
|
// Not a multiple select?
|
|
if (!Array.isArray(selectedProviders)) {
|
|
return;
|
|
}
|
|
|
|
oai_settings.openrouter_providers = selectedProviders;
|
|
|
|
saveSettingsDebounced();
|
|
});
|
|
|
|
$('#api_button_openai').on('click', onConnectButtonClick);
|
|
$('#openai_reverse_proxy').on('input', onReverseProxyInput);
|
|
$('#model_openai_select').on('change', onModelChange);
|
|
$('#model_claude_select').on('change', onModelChange);
|
|
$('#model_windowai_select').on('change', onModelChange);
|
|
$('#model_scale_select').on('change', onModelChange);
|
|
$('#model_google_select').on('change', onModelChange);
|
|
$('#model_openrouter_select').on('change', onModelChange);
|
|
$('#openrouter_group_models').on('change', onOpenrouterModelSortChange);
|
|
$('#openrouter_sort_models').on('change', onOpenrouterModelSortChange);
|
|
$('#model_ai21_select').on('change', onModelChange);
|
|
$('#model_mistralai_select').on('change', onModelChange);
|
|
$('#model_cohere_select').on('change', onModelChange);
|
|
$('#model_perplexity_select').on('change', onModelChange);
|
|
$('#model_groq_select').on('change', onModelChange);
|
|
$('#model_01ai_select').on('change', onModelChange);
|
|
$('#model_blockentropy_select').on('change', onModelChange);
|
|
$('#model_custom_select').on('change', onModelChange);
|
|
$('#settings_preset_openai').on('change', onSettingsPresetChange);
|
|
$('#new_oai_preset').on('click', onNewPresetClick);
|
|
$('#delete_oai_preset').on('click', onDeletePresetClick);
|
|
$('#openai_logit_bias_preset').on('change', onLogitBiasPresetChange);
|
|
$('#openai_logit_bias_new_preset').on('click', createNewLogitBiasPreset);
|
|
$('#openai_logit_bias_new_entry').on('click', createNewLogitBiasEntry);
|
|
$('#openai_logit_bias_import_file').on('input', onLogitBiasPresetImportFileChange);
|
|
$('#openai_preset_import_file').on('input', onPresetImportFileChange);
|
|
$('#export_oai_preset').on('click', onExportPresetClick);
|
|
$('#openai_logit_bias_import_preset').on('click', onLogitBiasPresetImportClick);
|
|
$('#openai_logit_bias_export_preset').on('click', onLogitBiasPresetExportClick);
|
|
$('#openai_logit_bias_delete_preset').on('click', onLogitBiasPresetDeleteClick);
|
|
$('#import_oai_preset').on('click', onImportPresetClick);
|
|
$('#openai_proxy_password_show').on('click', onProxyPasswordShowClick);
|
|
$('#customize_additional_parameters').on('click', onCustomizeParametersClick);
|
|
$('#openai_proxy_preset').on('change', onProxyPresetChange);
|
|
});
|