import { characters, main_api, api_server, nai_settings, online_status, this_chid } from '../script.js'; import { power_user, registerDebugFunction } from './power-user.js'; import { chat_completion_sources, model_list, oai_settings } from './openai.js'; import { groups, selected_group } from './group-chats.js'; import { getStringHash } from './utils.js'; import { kai_flags } from './kai-settings.js'; import { textgen_types, textgenerationwebui_settings as textgen_settings, getTextGenServer, getTextGenModel } from './textgen-settings.js'; import { getCurrentDreamGenModelTokenizer, getCurrentOpenRouterModelTokenizer, openRouterModels } from './textgen-models.js'; const { OOBA, TABBY, KOBOLDCPP, APHRODITE, LLAMACPP, OPENROUTER, DREAMGEN } = textgen_types; export const CHARACTERS_PER_TOKEN_RATIO = 3.35; const TOKENIZER_WARNING_KEY = 'tokenizationWarningShown'; export const tokenizers = { NONE: 0, GPT2: 1, OPENAI: 2, LLAMA: 3, NERD: 4, NERD2: 5, API_CURRENT: 6, MISTRAL: 7, YI: 8, API_TEXTGENERATIONWEBUI: 9, API_KOBOLD: 10, CLAUDE: 11, LLAMA3: 12, BEST_MATCH: 99, }; export const SENTENCEPIECE_TOKENIZERS = [ tokenizers.LLAMA, tokenizers.MISTRAL, tokenizers.YI, tokenizers.LLAMA3, // uncomment when NovelAI releases Kayra and Clio weights, lol //tokenizers.NERD, //tokenizers.NERD2, ]; export const TEXTGEN_TOKENIZERS = [OOBA, TABBY, KOBOLDCPP, LLAMACPP, APHRODITE]; const TOKENIZER_URLS = { [tokenizers.GPT2]: { encode: '/api/tokenizers/gpt2/encode', decode: '/api/tokenizers/gpt2/decode', count: '/api/tokenizers/gpt2/encode', }, [tokenizers.OPENAI]: { encode: '/api/tokenizers/openai/encode', decode: '/api/tokenizers/openai/decode', count: '/api/tokenizers/openai/encode', }, [tokenizers.LLAMA]: { encode: '/api/tokenizers/llama/encode', decode: '/api/tokenizers/llama/decode', count: '/api/tokenizers/llama/encode', }, [tokenizers.NERD]: { encode: '/api/tokenizers/nerdstash/encode', decode: '/api/tokenizers/nerdstash/decode', count: '/api/tokenizers/nerdstash/encode', }, [tokenizers.NERD2]: { encode: '/api/tokenizers/nerdstash_v2/encode', decode: '/api/tokenizers/nerdstash_v2/decode', count: '/api/tokenizers/nerdstash_v2/encode', }, [tokenizers.API_KOBOLD]: { count: '/api/tokenizers/remote/kobold/count', encode: '/api/tokenizers/remote/kobold/count', }, [tokenizers.MISTRAL]: { encode: '/api/tokenizers/mistral/encode', decode: '/api/tokenizers/mistral/decode', count: '/api/tokenizers/mistral/encode', }, [tokenizers.YI]: { encode: '/api/tokenizers/yi/encode', decode: '/api/tokenizers/yi/decode', count: '/api/tokenizers/yi/encode', }, [tokenizers.CLAUDE]: { encode: '/api/tokenizers/claude/encode', decode: '/api/tokenizers/claude/decode', count: '/api/tokenizers/claude/encode', }, [tokenizers.LLAMA3]: { encode: '/api/tokenizers/llama3/encode', decode: '/api/tokenizers/llama3/decode', count: '/api/tokenizers/llama3/encode', }, [tokenizers.API_TEXTGENERATIONWEBUI]: { encode: '/api/tokenizers/remote/textgenerationwebui/encode', count: '/api/tokenizers/remote/textgenerationwebui/encode', }, }; const objectStore = new localforage.createInstance({ name: 'SillyTavern_ChatCompletions' }); let tokenCache = {}; /** * Guesstimates the token count for a string. * @param {string} str String to tokenize. * @returns {number} Token count. */ export function guesstimate(str) { return Math.ceil(str.length / CHARACTERS_PER_TOKEN_RATIO); } async function loadTokenCache() { try { console.debug('Chat Completions: loading token cache'); tokenCache = await objectStore.getItem('tokenCache') || {}; } catch (e) { console.log('Chat Completions: unable to load token cache, using default value', e); tokenCache = {}; } } export async function saveTokenCache() { try { console.debug('Chat Completions: saving token cache'); await objectStore.setItem('tokenCache', tokenCache); } catch (e) { console.log('Chat Completions: unable to save token cache', e); } } async function resetTokenCache() { try { console.debug('Chat Completions: resetting token cache'); Object.keys(tokenCache).forEach(key => delete tokenCache[key]); await objectStore.removeItem('tokenCache'); toastr.success('Token cache cleared. Please reload the chat to re-tokenize it.'); } catch (e) { console.log('Chat Completions: unable to reset token cache', e); } } /** * Gets the friendly name of the current tokenizer. * @param {string} forApi API to get the tokenizer for. Defaults to the main API. * @returns { { tokenizerName: string, tokenizerId: number } } Tokenizer info */ export function getFriendlyTokenizerName(forApi) { if (!forApi) { forApi = main_api; } const tokenizerOption = $('#tokenizer').find(':selected'); let tokenizerId = Number(tokenizerOption.val()); let tokenizerName = tokenizerOption.text(); if (forApi !== 'openai' && tokenizerId === tokenizers.BEST_MATCH) { tokenizerId = getTokenizerBestMatch(forApi); switch (tokenizerId) { case tokenizers.API_KOBOLD: tokenizerName = 'API (KoboldAI Classic)'; break; case tokenizers.API_TEXTGENERATIONWEBUI: tokenizerName = 'API (Text Completion)'; break; default: tokenizerName = $(`#tokenizer option[value="${tokenizerId}"]`).text(); break; } } tokenizerName = forApi == 'openai' ? getTokenizerModel() : tokenizerName; tokenizerId = forApi == 'openai' ? tokenizers.OPENAI : tokenizerId; return { tokenizerName, tokenizerId }; } /** * Gets the best tokenizer for the current API. * @param {string} forApi API to get the tokenizer for. Defaults to the main API. * @returns {number} Tokenizer type. */ export function getTokenizerBestMatch(forApi) { if (!forApi) { forApi = main_api; } if (forApi === 'novel') { if (nai_settings.model_novel.includes('clio')) { return tokenizers.NERD; } if (nai_settings.model_novel.includes('kayra')) { return tokenizers.NERD2; } } if (forApi === 'kobold' || forApi === 'textgenerationwebui' || forApi === 'koboldhorde') { // Try to use the API tokenizer if possible: // - API must be connected // - Kobold must pass a version check // - Tokenizer haven't reported an error previously const hasTokenizerError = sessionStorage.getItem(TOKENIZER_WARNING_KEY); const isConnected = online_status !== 'no_connection'; const isTokenizerSupported = TEXTGEN_TOKENIZERS.includes(textgen_settings.type); if (!hasTokenizerError && isConnected) { if (forApi === 'kobold' && kai_flags.can_use_tokenization) { return tokenizers.API_KOBOLD; } if (forApi === 'textgenerationwebui' && isTokenizerSupported) { return tokenizers.API_TEXTGENERATIONWEBUI; } if (forApi === 'textgenerationwebui' && textgen_settings.type === OPENROUTER) { return getCurrentOpenRouterModelTokenizer(); } if (forApi === 'textgenerationwebui' && textgen_settings.type === DREAMGEN) { return getCurrentDreamGenModelTokenizer(); } } if (forApi === 'textgenerationwebui') { const model = String(getTextGenModel() || online_status).toLowerCase(); if (model.includes('llama3') || model.includes('llama-3')) { return tokenizers.LLAMA3; } if (model.includes('mistral') || model.includes('mixtral')) { return tokenizers.MISTRAL; } } return tokenizers.LLAMA; } return tokenizers.NONE; } // Get the current remote tokenizer API based on the current text generation API. function currentRemoteTokenizerAPI() { switch (main_api) { case 'kobold': return tokenizers.API_KOBOLD; case 'textgenerationwebui': return tokenizers.API_TEXTGENERATIONWEBUI; default: return tokenizers.NONE; } } /** * Calls the underlying tokenizer model to the token count for a string. * @param {number} type Tokenizer type. * @param {string} str String to tokenize. * @returns {number} Token count. */ function callTokenizer(type, str) { if (type === tokenizers.NONE) return guesstimate(str); switch (type) { case tokenizers.API_CURRENT: return callTokenizer(currentRemoteTokenizerAPI(), str); case tokenizers.API_KOBOLD: return countTokensFromKoboldAPI(str); case tokenizers.API_TEXTGENERATIONWEBUI: return countTokensFromTextgenAPI(str); default: { const endpointUrl = TOKENIZER_URLS[type]?.count; if (!endpointUrl) { console.warn('Unknown tokenizer type', type); return apiFailureTokenCount(str); } return countTokensFromServer(endpointUrl, str); } } } /** * Calls the underlying tokenizer model to the token count for a string. * @param {number} type Tokenizer type. * @param {string} str String to tokenize. * @returns {Promise} Token count. */ function callTokenizerAsync(type, str) { return new Promise(resolve => { if (type === tokenizers.NONE) { return resolve(guesstimate(str)); } switch (type) { case tokenizers.API_CURRENT: return callTokenizerAsync(currentRemoteTokenizerAPI(), str).then(resolve); case tokenizers.API_KOBOLD: return countTokensFromKoboldAPI(str, resolve); case tokenizers.API_TEXTGENERATIONWEBUI: return countTokensFromTextgenAPI(str, resolve); default: { const endpointUrl = TOKENIZER_URLS[type]?.count; if (!endpointUrl) { console.warn('Unknown tokenizer type', type); return resolve(apiFailureTokenCount(str)); } return countTokensFromServer(endpointUrl, str, resolve); } } }); } /** * Gets the token count for a string using the current model tokenizer. * @param {string} str String to tokenize * @param {number | undefined} padding Optional padding tokens. Defaults to 0. * @returns {Promise} Token count. */ export async function getTokenCountAsync(str, padding = undefined) { if (typeof str !== 'string' || !str?.length) { return 0; } let tokenizerType = power_user.tokenizer; if (main_api === 'openai') { if (padding === power_user.token_padding) { // For main "shadow" prompt building tokenizerType = tokenizers.NONE; } else { // For extensions and WI return counterWrapperOpenAIAsync(str); } } if (tokenizerType === tokenizers.BEST_MATCH) { tokenizerType = getTokenizerBestMatch(main_api); } if (padding === undefined) { padding = 0; } const cacheObject = getTokenCacheObject(); const hash = getStringHash(str); const cacheKey = `${tokenizerType}-${hash}+${padding}`; if (typeof cacheObject[cacheKey] === 'number') { return cacheObject[cacheKey]; } const result = (await callTokenizerAsync(tokenizerType, str)) + padding; if (isNaN(result)) { console.warn('Token count calculation returned NaN'); return 0; } cacheObject[cacheKey] = result; return result; } /** * Gets the token count for a string using the current model tokenizer. * @param {string} str String to tokenize * @param {number | undefined} padding Optional padding tokens. Defaults to 0. * @returns {number} Token count. * @deprecated Use getTokenCountAsync instead. */ export function getTokenCount(str, padding = undefined) { if (typeof str !== 'string' || !str?.length) { return 0; } let tokenizerType = power_user.tokenizer; if (main_api === 'openai') { if (padding === power_user.token_padding) { // For main "shadow" prompt building tokenizerType = tokenizers.NONE; } else { // For extensions and WI return counterWrapperOpenAI(str); } } if (tokenizerType === tokenizers.BEST_MATCH) { tokenizerType = getTokenizerBestMatch(main_api); } if (padding === undefined) { padding = 0; } const cacheObject = getTokenCacheObject(); const hash = getStringHash(str); const cacheKey = `${tokenizerType}-${hash}+${padding}`; if (typeof cacheObject[cacheKey] === 'number') { return cacheObject[cacheKey]; } const result = callTokenizer(tokenizerType, str) + padding; if (isNaN(result)) { console.warn('Token count calculation returned NaN'); return 0; } cacheObject[cacheKey] = result; return result; } /** * Gets the token count for a string using the OpenAI tokenizer. * @param {string} text Text to tokenize. * @returns {number} Token count. * @deprecated Use counterWrapperOpenAIAsync instead. */ function counterWrapperOpenAI(text) { const message = { role: 'system', content: text }; return countTokensOpenAI(message, true); } /** * Gets the token count for a string using the OpenAI tokenizer. * @param {string} text Text to tokenize. * @returns {Promise} Token count. */ function counterWrapperOpenAIAsync(text) { const message = { role: 'system', content: text }; return countTokensOpenAIAsync(message, true); } export function getTokenizerModel() { // OpenAI models always provide their own tokenizer if (oai_settings.chat_completion_source == chat_completion_sources.OPENAI) { return oai_settings.openai_model; } const turbo0301Tokenizer = 'gpt-3.5-turbo-0301'; const turboTokenizer = 'gpt-3.5-turbo'; const gpt4Tokenizer = 'gpt-4'; const gpt2Tokenizer = 'gpt2'; const claudeTokenizer = 'claude'; const llamaTokenizer = 'llama'; const llama3Tokenizer = 'llama3'; const mistralTokenizer = 'mistral'; const yiTokenizer = 'yi'; // Assuming no one would use it for different models.. right? if (oai_settings.chat_completion_source == chat_completion_sources.SCALE) { return gpt4Tokenizer; } // Select correct tokenizer for WindowAI proxies if (oai_settings.chat_completion_source == chat_completion_sources.WINDOWAI && oai_settings.windowai_model) { if (oai_settings.windowai_model.includes('gpt-4')) { return gpt4Tokenizer; } else if (oai_settings.windowai_model.includes('gpt-3.5-turbo-0301')) { return turbo0301Tokenizer; } else if (oai_settings.windowai_model.includes('gpt-3.5-turbo')) { return turboTokenizer; } else if (oai_settings.windowai_model.includes('claude')) { return claudeTokenizer; } else if (oai_settings.windowai_model.includes('GPT-NeoXT')) { return gpt2Tokenizer; } } // And for OpenRouter (if not a site model, then it's impossible to determine the tokenizer) if (main_api == 'openai' && oai_settings.chat_completion_source == chat_completion_sources.OPENROUTER && oai_settings.openrouter_model || main_api == 'textgenerationwebui' && textgen_settings.type === OPENROUTER && textgen_settings.openrouter_model) { const model = main_api == 'openai' ? model_list.find(x => x.id === oai_settings.openrouter_model) : openRouterModels.find(x => x.id === textgen_settings.openrouter_model); if (model?.architecture?.tokenizer === 'Llama2') { return llamaTokenizer; } else if (model?.architecture?.tokenizer === 'Llama3') { return llama3Tokenizer; } else if (model?.architecture?.tokenizer === 'Mistral') { return mistralTokenizer; } else if (model?.architecture?.tokenizer === 'Yi') { return yiTokenizer; } else if (oai_settings.openrouter_model.includes('gpt-4')) { return gpt4Tokenizer; } else if (oai_settings.openrouter_model.includes('gpt-3.5-turbo-0301')) { return turbo0301Tokenizer; } else if (oai_settings.openrouter_model.includes('gpt-3.5-turbo')) { return turboTokenizer; } else if (oai_settings.openrouter_model.includes('claude')) { return claudeTokenizer; } else if (oai_settings.openrouter_model.includes('GPT-NeoXT')) { return gpt2Tokenizer; } } if (oai_settings.chat_completion_source == chat_completion_sources.MAKERSUITE) { return oai_settings.google_model; } if (oai_settings.chat_completion_source == chat_completion_sources.CLAUDE) { return claudeTokenizer; } if (oai_settings.chat_completion_source == chat_completion_sources.MISTRALAI) { return mistralTokenizer; } if (oai_settings.chat_completion_source == chat_completion_sources.CUSTOM) { return oai_settings.custom_model; } if (oai_settings.chat_completion_source === chat_completion_sources.PERPLEXITY) { if (oai_settings.perplexity_model.includes('llama-3') || oai_settings.perplexity_model.includes('llama3')) { return llama3Tokenizer; } if (oai_settings.perplexity_model.includes('llama')) { return llamaTokenizer; } if (oai_settings.perplexity_model.includes('mistral') || oai_settings.perplexity_model.includes('mixtral')) { return mistralTokenizer; } } if (oai_settings.chat_completion_source === chat_completion_sources.GROQ) { if (oai_settings.groq_model.includes('llama-3') || oai_settings.groq_model.includes('llama3')) { return llama3Tokenizer; } if (oai_settings.groq_model.includes('mistral') || oai_settings.groq_model.includes('mixtral')) { return mistralTokenizer; } } // Default to Turbo 3.5 return turboTokenizer; } /** * @param {any[] | Object} messages * @deprecated Use countTokensOpenAIAsync instead. */ export function countTokensOpenAI(messages, full = false) { const shouldTokenizeAI21 = oai_settings.chat_completion_source === chat_completion_sources.AI21 && oai_settings.use_ai21_tokenizer; const shouldTokenizeGoogle = oai_settings.chat_completion_source === chat_completion_sources.MAKERSUITE && oai_settings.use_google_tokenizer; let tokenizerEndpoint = ''; if (shouldTokenizeAI21) { tokenizerEndpoint = '/api/tokenizers/ai21/count'; } else if (shouldTokenizeGoogle) { tokenizerEndpoint = `/api/tokenizers/google/count?model=${getTokenizerModel()}&reverse_proxy=${oai_settings.reverse_proxy}&proxy_password=${oai_settings.proxy_password}`; } else { tokenizerEndpoint = `/api/tokenizers/openai/count?model=${getTokenizerModel()}`; } const cacheObject = getTokenCacheObject(); if (!Array.isArray(messages)) { messages = [messages]; } let token_count = -1; for (const message of messages) { const model = getTokenizerModel(); if (model === 'claude' || shouldTokenizeAI21 || shouldTokenizeGoogle) { full = true; } const hash = getStringHash(JSON.stringify(message)); const cacheKey = `${model}-${hash}`; const cachedCount = cacheObject[cacheKey]; if (typeof cachedCount === 'number') { token_count += cachedCount; } else { jQuery.ajax({ async: false, type: 'POST', // url: tokenizerEndpoint, data: JSON.stringify([message]), dataType: 'json', contentType: 'application/json', success: function (data) { token_count += Number(data.token_count); cacheObject[cacheKey] = Number(data.token_count); }, }); } } if (!full) token_count -= 2; return token_count; } /** * Returns the token count for a message using the OpenAI tokenizer. * @param {object[]|object} messages * @param {boolean} full * @returns {Promise} Token count. */ export async function countTokensOpenAIAsync(messages, full = false) { const shouldTokenizeAI21 = oai_settings.chat_completion_source === chat_completion_sources.AI21 && oai_settings.use_ai21_tokenizer; const shouldTokenizeGoogle = oai_settings.chat_completion_source === chat_completion_sources.MAKERSUITE && oai_settings.use_google_tokenizer; let tokenizerEndpoint = ''; if (shouldTokenizeAI21) { tokenizerEndpoint = '/api/tokenizers/ai21/count'; } else if (shouldTokenizeGoogle) { tokenizerEndpoint = `/api/tokenizers/google/count?model=${getTokenizerModel()}`; } else { tokenizerEndpoint = `/api/tokenizers/openai/count?model=${getTokenizerModel()}`; } const cacheObject = getTokenCacheObject(); if (!Array.isArray(messages)) { messages = [messages]; } let token_count = -1; for (const message of messages) { const model = getTokenizerModel(); if (model === 'claude' || shouldTokenizeAI21 || shouldTokenizeGoogle) { full = true; } const hash = getStringHash(JSON.stringify(message)); const cacheKey = `${model}-${hash}`; const cachedCount = cacheObject[cacheKey]; if (typeof cachedCount === 'number') { token_count += cachedCount; } else { const data = await jQuery.ajax({ async: true, type: 'POST', // url: tokenizerEndpoint, data: JSON.stringify([message]), dataType: 'json', contentType: 'application/json', }); token_count += Number(data.token_count); cacheObject[cacheKey] = Number(data.token_count); } } if (!full) token_count -= 2; return token_count; } /** * Gets the token cache object for the current chat. * @returns {Object} Token cache object for the current chat. */ function getTokenCacheObject() { let chatId = 'undefined'; try { if (selected_group) { chatId = groups.find(x => x.id == selected_group)?.chat_id; } else if (this_chid !== undefined) { chatId = characters[this_chid].chat; } } catch { console.log('No character / group selected. Using default cache item'); } if (typeof tokenCache[chatId] !== 'object') { tokenCache[chatId] = {}; } return tokenCache[String(chatId)]; } /** * Count tokens using the server API. * @param {string} endpoint API endpoint. * @param {string} str String to tokenize. * @param {function} [resolve] Promise resolve function.s * @returns {number} Token count. */ function countTokensFromServer(endpoint, str, resolve) { const isAsync = typeof resolve === 'function'; let tokenCount = 0; jQuery.ajax({ async: isAsync, type: 'POST', url: endpoint, data: JSON.stringify({ text: str }), dataType: 'json', contentType: 'application/json', success: function (data) { if (typeof data.count === 'number') { tokenCount = data.count; } else { tokenCount = apiFailureTokenCount(str); } isAsync && resolve(tokenCount); }, }); return tokenCount; } /** * Count tokens using the AI provider's API. * @param {string} str String to tokenize. * @param {function} [resolve] Promise resolve function. * @returns {number} Token count. */ function countTokensFromKoboldAPI(str, resolve) { const isAsync = typeof resolve === 'function'; let tokenCount = 0; jQuery.ajax({ async: isAsync, type: 'POST', url: TOKENIZER_URLS[tokenizers.API_KOBOLD].count, data: JSON.stringify({ text: str, url: api_server, }), dataType: 'json', contentType: 'application/json', success: function (data) { if (typeof data.count === 'number') { tokenCount = data.count; } else { tokenCount = apiFailureTokenCount(str); } isAsync && resolve(tokenCount); }, }); return tokenCount; } function getTextgenAPITokenizationParams(str) { return { text: str, api_type: textgen_settings.type, url: getTextGenServer(), legacy_api: textgen_settings.legacy_api && (textgen_settings.type === OOBA || textgen_settings.type === APHRODITE), }; } /** * Count tokens using the AI provider's API. * @param {string} str String to tokenize. * @param {function} [resolve] Promise resolve function. * @returns {number} Token count. */ function countTokensFromTextgenAPI(str, resolve) { const isAsync = typeof resolve === 'function'; let tokenCount = 0; jQuery.ajax({ async: isAsync, type: 'POST', url: TOKENIZER_URLS[tokenizers.API_TEXTGENERATIONWEBUI].count, data: JSON.stringify(getTextgenAPITokenizationParams(str)), dataType: 'json', contentType: 'application/json', success: function (data) { if (typeof data.count === 'number') { tokenCount = data.count; } else { tokenCount = apiFailureTokenCount(str); } isAsync && resolve(tokenCount); }, }); return tokenCount; } function apiFailureTokenCount(str) { console.error('Error counting tokens'); if (!sessionStorage.getItem(TOKENIZER_WARNING_KEY)) { toastr.warning( 'Your selected API doesn\'t support the tokenization endpoint. Using estimated counts.', 'Error counting tokens', { timeOut: 10000, preventDuplicates: true }, ); sessionStorage.setItem(TOKENIZER_WARNING_KEY, String(true)); } return guesstimate(str); } /** * Calls the underlying tokenizer model to encode a string to tokens. * @param {string} endpoint API endpoint. * @param {string} str String to tokenize. * @param {function} [resolve] Promise resolve function. * @returns {number[]} Array of token ids. */ function getTextTokensFromServer(endpoint, str, resolve) { const isAsync = typeof resolve === 'function'; let ids = []; jQuery.ajax({ async: isAsync, type: 'POST', url: endpoint, data: JSON.stringify({ text: str }), dataType: 'json', contentType: 'application/json', success: function (data) { ids = data.ids; // Don't want to break reverse compatibility, so sprinkle in some of the JS magic if (Array.isArray(data.chunks)) { Object.defineProperty(ids, 'chunks', { value: data.chunks }); } isAsync && resolve(ids); }, }); return ids; } /** * Calls the AI provider's tokenize API to encode a string to tokens. * @param {string} str String to tokenize. * @param {function} [resolve] Promise resolve function. * @returns {number[]} Array of token ids. */ function getTextTokensFromTextgenAPI(str, resolve) { const isAsync = typeof resolve === 'function'; let ids = []; jQuery.ajax({ async: isAsync, type: 'POST', url: TOKENIZER_URLS[tokenizers.API_TEXTGENERATIONWEBUI].encode, data: JSON.stringify(getTextgenAPITokenizationParams(str)), dataType: 'json', contentType: 'application/json', success: function (data) { ids = data.ids; isAsync && resolve(ids); }, }); return ids; } /** * Calls the AI provider's tokenize API to encode a string to tokens. * @param {string} str String to tokenize. * @param {function} [resolve] Promise resolve function. * @returns {number[]} Array of token ids. */ function getTextTokensFromKoboldAPI(str, resolve) { const isAsync = typeof resolve === 'function'; let ids = []; jQuery.ajax({ async: isAsync, type: 'POST', url: TOKENIZER_URLS[tokenizers.API_KOBOLD].encode, data: JSON.stringify({ text: str, url: api_server, }), dataType: 'json', contentType: 'application/json', success: function (data) { ids = data.ids; isAsync && resolve(ids); }, }); return ids; } /** * Calls the underlying tokenizer model to decode token ids to text. * @param {string} endpoint API endpoint. * @param {number[]} ids Array of token ids * @param {function} [resolve] Promise resolve function. * @returns {({ text: string, chunks?: string[] })} Decoded token text as a single string and individual chunks (if available). */ function decodeTextTokensFromServer(endpoint, ids, resolve) { const isAsync = typeof resolve === 'function'; let text = ''; let chunks = []; jQuery.ajax({ async: isAsync, type: 'POST', url: endpoint, data: JSON.stringify({ ids: ids }), dataType: 'json', contentType: 'application/json', success: function (data) { text = data.text; chunks = data.chunks; isAsync && resolve({ text, chunks }); }, }); return { text, chunks }; } /** * Encodes a string to tokens using the server API. * @param {number} tokenizerType Tokenizer type. * @param {string} str String to tokenize. * @returns {number[]} Array of token ids. */ export function getTextTokens(tokenizerType, str) { switch (tokenizerType) { case tokenizers.API_CURRENT: return getTextTokens(currentRemoteTokenizerAPI(), str); case tokenizers.API_TEXTGENERATIONWEBUI: return getTextTokensFromTextgenAPI(str); case tokenizers.API_KOBOLD: return getTextTokensFromKoboldAPI(str); default: { const tokenizerEndpoints = TOKENIZER_URLS[tokenizerType]; if (!tokenizerEndpoints) { apiFailureTokenCount(str); console.warn('Unknown tokenizer type', tokenizerType); return []; } let endpointUrl = tokenizerEndpoints.encode; if (!endpointUrl) { apiFailureTokenCount(str); console.warn('This tokenizer type does not support encoding', tokenizerType); return []; } if (tokenizerType === tokenizers.OPENAI) { endpointUrl += `?model=${getTokenizerModel()}`; } return getTextTokensFromServer(endpointUrl, str); } } } /** * Decodes token ids to text using the server API. * @param {number} tokenizerType Tokenizer type. * @param {number[]} ids Array of token ids * @returns {({ text: string, chunks?: string[] })} Decoded token text as a single string and individual chunks (if available). */ export function decodeTextTokens(tokenizerType, ids) { // Currently, neither remote API can decode, but this may change in the future. Put this guard here to be safe if (tokenizerType === tokenizers.API_CURRENT) { return decodeTextTokens(tokenizers.NONE, ids); } const tokenizerEndpoints = TOKENIZER_URLS[tokenizerType]; if (!tokenizerEndpoints) { console.warn('Unknown tokenizer type', tokenizerType); return { text: '', chunks: [] }; } let endpointUrl = tokenizerEndpoints.decode; if (!endpointUrl) { console.warn('This tokenizer type does not support decoding', tokenizerType); return { text: '', chunks: [] }; } if (tokenizerType === tokenizers.OPENAI) { endpointUrl += `?model=${getTokenizerModel()}`; } return decodeTextTokensFromServer(endpointUrl, ids); } export async function initTokenizers() { await loadTokenCache(); registerDebugFunction('resetTokenCache', 'Reset token cache', 'Purges the calculated token counts. Use this if you want to force a full re-tokenization of all chats or suspect the token counts are wrong.', resetTokenCache); }