Merge branch 'staging' of https://github.com/Cohee1207/SillyTavern into staging
| @@ -51,6 +51,19 @@ requestProxy: | ||
| 51 | 51 | enableUserAccounts: false |
| 52 | 52 | # Enable discreet login mode: hides user list on the login screen |
| 53 | 53 | enableDiscreetLogin: false |
| 54 | +# Enable's authlia based auto login. Only enable this if you | |
| 55 | +# have setup and installed Authelia as a middle-ware on your | |
| 56 | +# reverse proxy | |
| 57 | +# https://www.authelia.com/ | |
| 58 | +# This will use auto login to an account with the same username | |
| 59 | +# as that used for authlia. (Ensure the username in authlia | |
| 60 | +# is an exact match with that in sillytavern) | |
| 61 | +autheliaAuth: false | |
| 62 | +# If `basicAuthMode` and this are enabled then | |
| 63 | +# the username and passwords for basic auth are the same as those | |
| 64 | +# for the individual accounts | |
| 65 | +perUserBasicAuth: false | |
| 66 | + | |
| 54 | 67 | # User session timeout *in seconds* (defaults to 24 hours). |
| 55 | 68 | ## Set to a positive number to expire session after a certain time of inactivity |
| 56 | 69 | ## Set to 0 to expire session when the browser is closed |
| @@ -2067,21 +2067,21 @@ | ||
| 2067 | 2067 | } |
| 2068 | 2068 | }, |
| 2069 | 2069 | "node_modules/cookie": { |
| 2070 | 2070 | "version": "0.47.12", |
| 2071 | 2071 | "resolved": "https://registry.npmjs.org/cookie/-/cookie-0.47.12.tgz", |
| 2072 | 2072 | "integrity": "sha512-ZwrFkGJxUR3EIoXtO+yVE69Eb7KlixbaeAWfBQB9vVsNn/o+Yw69gBWSSDK825hQNdN+wF8zELf3dFNlyki5XnKuf750l50uGTllt6kKILY4nQ1eNIQatoXEByZ5dWgnKqbnqmTrBE5B4N7lrMJKQ2ytWMiTO2o0v6Ew/kxkUAw==", |
| 2073 | 2073 | "license": "MIT", |
| 2074 | 2074 | "engines": { |
| 2075 | 2075 | "node": ">= 0.6" |
| 2076 | 2076 | } |
| 2077 | 2077 | }, |
| 2078 | 2078 | "node_modules/cookie-parser": { |
| 2079 | 2079 | "version": "1.4.67", |
| 2080 | 2080 | "resolved": "https://registry.npmjs.org/cookie-parser/-/cookie-parser-1.4.67.tgz", |
| 2081 | 2081 | "integrity": "sha512-z3IzaNjdwUC2olLIB5/ITd0/setiaFMLYiZJle7xg5Fe9KWAceil7xszYfHHBtDFYLSgJduS2Ty0P1uJdPDJeAnGUvgXnotP3BsjiLX2ypbQnWoGUPIIfHQNZkkC668ntrzGWEZVW70HDEB1qnNGMicPje6EttlIgzo51YSwNQGw==", |
| 2082 | 2082 | "license": "MIT", |
| 2083 | 2083 | "dependencies": { |
| 2084 | 2084 | "cookie": "0.47.12", |
| 2085 | 2085 | "cookie-signature": "1.0.6" |
| 2086 | 2086 | }, |
| 2087 | 2087 | "engines": { |
| @@ -2894,9 +2894,9 @@ | ||
| 2894 | 2894 | "integrity": "sha512-c2bQfLNbMzLPmzQuOr8fy0csy84WmwnER81W88DzTp9CYNPJ6yzOj2EZAh9pywYpqHnshVLHQJ8WzldAyfY+Iw==" |
| 2895 | 2895 | }, |
| 2896 | 2896 | "node_modules/express": { |
| 2897 | 2897 | "version": "4.21.01", |
| 2898 | 2898 | "resolved": "https://registry.npmjs.org/express/-/express-4.21.01.tgz", |
| 2899 | 2899 | "integrity": "sha512-VqcNGcj/Id5ZT1LZYSFlK1Ee0/cfihi3ttTn+NJmkli2eZADigjq29qTlWiGC8QaO91tHcDxJiE/hAQ43tX4FbpAyQWkxAvG6AXCuR65YzK8ua6D9hvi/VLPq8TzUfZMpc+UX06FCEx3ByOYet6ZFblngBwuM1IPw8fmQBiQ==", |
| 2900 | 2900 | "license": "MIT", |
| 2901 | 2901 | "dependencies": { |
| 2902 | 2902 | "accepts": "~1.3.8", |
| @@ -2904,7 +2904,7 @@ | ||
| 2904 | 2904 | "body-parser": "1.20.3", |
| 2905 | 2905 | "content-disposition": "0.5.4", |
| 2906 | 2906 | "content-type": "~1.0.4", |
| 2907 | 2907 | "cookie": "0.67.01", |
| 2908 | 2908 | "cookie-signature": "1.0.6", |
| 2909 | 2909 | "debug": "2.6.9", |
| 2910 | 2910 | "depd": "2.0.0", |
| @@ -2936,9 +2936,10 @@ | ||
| 2936 | 2936 | } |
| 2937 | 2937 | }, |
| 2938 | 2938 | "node_modules/express/node_modules/cookie": { |
| 2939 | 2939 | "version": "0.67.01", |
| 2940 | 2940 | "resolved": "https://registry.npmjs.org/cookie/-/cookie-0.67.01.tgz", |
| 2941 | 2941 | "integrity": "sha512-U71cyTamuh1CRNCfpGY6to28lxvNwPG4Guz6DnInpx7SJ2AK3+CTUE/EVjgf3Jmzv0vlDp1atT9eS5dDjMYHucpHbWns6Lwf3BKz6svdwZM0vWTUboZCegxhC2xiIydHR9jNuTAASBrfEpHhiGOZw/nX51bHt6YQl8jsGo4y/0w==", |
| 2942 | + "license": "MIT", | |
| 2942 | 2943 | "engines": { |
| 2943 | 2944 | "node": ">= 0.6" |
| 2944 | 2945 | } |
| @@ -264,10 +264,10 @@ | ||
| 264 | 264 | </div> |
| 265 | 265 | <div class="range-block-range-and-counter"> |
| 266 | 266 | <div class="range-block-range"> |
| 267 | 267 | <input type="range" id="rep_pen_novel" name="volume" min="1" max="8" step="0.05025"> |
| 268 | 268 | </div> |
| 269 | 269 | <div class="range-block-counter"> |
| 270 | 270 | <input type="number" min="1" max="8" step="0.05025" data-for="rep_pen_novel" id="rep_pen_counter_novel"> |
| 271 | 271 | </div> |
| 272 | 272 | </div> |
| 273 | 273 | </div> |
| @@ -595,17 +595,6 @@ | ||
| 595 | 595 | </span> |
| 596 | 596 | </div> |
| 597 | 597 | </div> |
| 598 | - <div class="range-block" data-source="cohere"> | |
| 599 | - <label for="websearch_toggle" title="Enable Cohere web-search connector" data-i18n="[title]Enable Cohere web-search connector" class="checkbox_label widthFreeExpand"> | |
| 600 | - <input id="websearch_toggle" type="checkbox" /> | |
| 601 | - <span data-i18n="Web-search">Web-search</span> | |
| 602 | - </label> | |
| 603 | - <div class="toggle-description justifyLeft"> | |
| 604 | - <span data-i18n="Allow the model to use the web-search connector."> | |
| 605 | - Allow the model to use the web-search connector. | |
| 606 | - </span> | |
| 607 | - </div> | |
| 608 | - </div> | |
| 609 | 598 | <div class="range-block" data-source="openai,claude,windowai,openrouter,ai21,scale,makersuite,mistralai,custom,cohere,perplexity,groq,01ai"> |
| 610 | 599 | <div class="range-block-title" data-i18n="Temperature"> |
| 611 | 600 | Temperature |
| @@ -2271,7 +2260,37 @@ | ||
| 2271 | 2260 | <div data-for="api_key_featherless" class="neutral_warning" data-i18n="For privacy reasons, your API key will be hidden after you reload the page."> |
| 2272 | 2261 | For privacy reasons, your API key will be hidden after you reload the page. |
| 2273 | 2262 | </div> |
| 2274 | - <select id="featherless_model"> | |
| 2263 | + <hr> | |
| 2264 | + <h4 data-i18n="Featherless Model Selection">Featherless Model Selection</h4> | |
| 2265 | + <div class="flex-container wide100p flexGap10"> | |
| 2266 | + <div class="flex1 overflowHidden wide100p"> | |
| 2267 | + <div class="flex-container marginBot10 alignitemscenter"> | |
| 2268 | + <input id="featherless_model_search_bar" class="text_pole width100p flex1 margin0" type="search" data-i18n="[placeholder]Search..." placeholder="Search..."> | |
| 2269 | + <select id="featherless_model_sort_order" class="margin0 text_pole"> | |
| 2270 | + <option value="search" data-i18n="Search" hidden>A-Z</option> | |
| 2271 | + <option value="asc">A-Z</option> | |
| 2272 | + <option value="desc">Z-A</option> | |
| 2273 | + <option value="date_asc">Date Asc</option> | |
| 2274 | + <option value="date_desc">Date Desc</option> | |
| 2275 | + </select> | |
| 2276 | + <select id="featherless_category_selection" class="text_pole"> | |
| 2277 | + <option value="" disabled selected data-i18n="category">category</option> | |
| 2278 | + <!-- <option value="Favorite" data-i18n="Top">Favorite</option> --> | |
| 2279 | + <option value="Top" data-i18n="Top">Top</option> | |
| 2280 | + <option value="New" data-i18n="New">New</option> | |
| 2281 | + <option value="All" data-i18n="All">All</option> | |
| 2282 | + </select> | |
| 2283 | + <select id="featherless_class_selection" class="text_pole"> | |
| 2284 | + <option value="" selected data-i18n="class">All Classes</option> | |
| 2285 | + </select> | |
| 2286 | + <div id="featherless_model_pagination_container" class="flex1"></div> | |
| 2287 | + <i id="featherless_model_grid_toggle" class="fa-solid fa-table-cells-large menu_button" data-i18n="[title]Toggle grid view" title="Toggle grid view"></i> | |
| 2288 | + </div> | |
| 2289 | + <div id="featherless_model_card_block" data-i18n="[no_desc_text]No model description" no_desc_text="[No description]"></div> | |
| 2290 | + </div> | |
| 2291 | + </div> | |
| 2292 | + <!-- Do not remove. Needed for the /model command to function --> | |
| 2293 | + <select id="featherless_model" class="displayNone"> | |
| 2275 | 2294 | <option value="" data-i18n="-- Connect to the API --"> |
| 2276 | 2295 | -- Connect to the API -- |
| 2277 | 2296 | </option> |
| @@ -56,9 +56,6 @@ | ||
| 56 | 56 | "Max Response Length (tokens)": "الحد الأقصى لطول الاستجابة (الرموز,الحرف)", |
| 57 | 57 | "Multiple swipes per generation": "الضربات الشديدة المتعددة لكل جيل", |
| 58 | 58 | "Enable OpenAI completion streaming": "تمكين بث الاكتمال من OpenAI", |
| 59 | - "Enable Cohere web-search connector": "تمكين موصل بحث الويب Cohere", | |
| 60 | - "Web-search": "البحث في الويب", | |
| 61 | - "Allow the model to use the web-search connector.": "اسمح للنموذج باستخدام موصل بحث الويب.", | |
| 62 | 59 | "Frequency Penalty": "عقوبة التكرار", |
| 63 | 60 | "Presence Penalty": "عقوبة الوجود", |
| 64 | 61 | "Count Penalty": "عد ضربة جزاء", |
| @@ -56,9 +56,6 @@ | ||
| 56 | 56 | "Max Response Length (tokens)": "Maximale Antwortlänge (Tokens)", |
| 57 | 57 | "Multiple swipes per generation": "Mehrere Swipes pro Generation", |
| 58 | 58 | "Enable OpenAI completion streaming": "OpenAI-Vervollständigungsstreaming aktivieren", |
| 59 | - "Enable Cohere web-search connector": "Cohere-Websuch-Connector aktivieren", | |
| 60 | - "Web-search": "Web-Suche", | |
| 61 | - "Allow the model to use the web-search connector.": "Erlauben Sie dem Modell, den Websuch-Connector zu verwenden.", | |
| 62 | 59 | "Frequency Penalty": "Frequenzstrafe", |
| 63 | 60 | "Presence Penalty": "Präsenzstrafe", |
| 64 | 61 | "Count Penalty": "Strafe zählen", |
| @@ -56,9 +56,6 @@ | ||
| 56 | 56 | "Max Response Length (tokens)": "Longitud máxima de respuesta (tokens)", |
| 57 | 57 | "Multiple swipes per generation": "Múltiples golpes por generación", |
| 58 | 58 | "Enable OpenAI completion streaming": "Activar streaming de completado de OpenAI", |
| 59 | - "Enable Cohere web-search connector": "Habilitar el conector de búsqueda web de Cohere", | |
| 60 | - "Web-search": "Búsqueda Web", | |
| 61 | - "Allow the model to use the web-search connector.": "Permita que el modelo utilice el conector de búsqueda web.", | |
| 62 | 59 | "Frequency Penalty": "Penalización de frecuencia", |
| 63 | 60 | "Presence Penalty": "Penalización de presencia", |
| 64 | 61 | "Count Penalty": "Penalización de conteo", |
| @@ -56,9 +56,6 @@ | ||
| 56 | 56 | "Max Response Length (tokens)": "Longueur maximale de la réponse (tokens)", |
| 57 | 57 | "Multiple swipes per generation": "Plusieurs balayages par génération", |
| 58 | 58 | "Enable OpenAI completion streaming": "Activer le streaming de complétion OpenAI", |
| 59 | - "Enable Cohere web-search connector": "Activer le connecteur de recherche Web Cohere", | |
| 60 | - "Web-search": "Recherche Internet", | |
| 61 | - "Allow the model to use the web-search connector.": "Autorisez le modèle à utiliser le connecteur de recherche Web.", | |
| 62 | 59 | "Frequency Penalty": "Pénalité de fréquence", |
| 63 | 60 | "Presence Penalty": "Pénalité de présence", |
| 64 | 61 | "Count Penalty": "Pénalité de décompte", |
| @@ -56,9 +56,6 @@ | ||
| 56 | 56 | "Max Response Length (tokens)": "Hámarks lengd svörunar (í táknum)", |
| 57 | 57 | "Multiple swipes per generation": "Mörg högg á hverja kynslóð", |
| 58 | 58 | "Enable OpenAI completion streaming": "Virkja OpenAI klárastreymi", |
| 59 | - "Enable Cohere web-search connector": "Virkja Cohere vefleitartengi", | |
| 60 | - "Web-search": "Vefleit", | |
| 61 | - "Allow the model to use the web-search connector.": "Leyfðu líkaninu að nota vefleitartengið.", | |
| 62 | 59 | "Frequency Penalty": "Tíðnarefning", |
| 63 | 60 | "Presence Penalty": "Tilkoma refning", |
| 64 | 61 | "Count Penalty": "Telja víti", |
| @@ -56,9 +56,6 @@ | ||
| 56 | 56 | "Max Response Length (tokens)": "Lunghezza massima della risposta (token)", |
| 57 | 57 | "Multiple swipes per generation": "Più passaggi per generazione", |
| 58 | 58 | "Enable OpenAI completion streaming": "Abilita lo streaming di completamento OpenAI", |
| 59 | - "Enable Cohere web-search connector": "Abilita il connettore di ricerca web Cohere", | |
| 60 | - "Web-search": "Ricerca sul web", | |
| 61 | - "Allow the model to use the web-search connector.": "Consenti al modello di utilizzare il connettore di ricerca web.", | |
| 62 | 59 | "Frequency Penalty": "Penalità di frequenza", |
| 63 | 60 | "Presence Penalty": "Penalità di presenza", |
| 64 | 61 | "Count Penalty": "Conte Penalità", |
| @@ -56,9 +56,6 @@ | ||
| 56 | 56 | "Max Response Length (tokens)": "最大応答長(トークン数)", |
| 57 | 57 | "Multiple swipes per generation": "世代ごとに複数のスワイプ", |
| 58 | 58 | "Enable OpenAI completion streaming": "OpenAIの完了ストリーミングを有効にする", |
| 59 | - "Enable Cohere web-search connector": "Cohereウェブ検索コネクタを有効にする", | |
| 60 | - "Web-search": "ウェブ検索", | |
| 61 | - "Allow the model to use the web-search connector.": "モデルが Web 検索コネクタを使用できるようにします。", | |
| 62 | 59 | "Frequency Penalty": "頻度ペナルティ", |
| 63 | 60 | "Presence Penalty": "存在ペナルティ", |
| 64 | 61 | "Count Penalty": "カウントペナルティ", |
| @@ -56,9 +56,6 @@ | ||
| 56 | 56 | "Max Response Length (tokens)": "최대 응답 길이 (토큰)", |
| 57 | 57 | "Multiple swipes per generation": "세대당 다중 스와이프", |
| 58 | 58 | "Enable OpenAI completion streaming": "OpenAI 완성 스트리밍 활성화", |
| 59 | - "Enable Cohere web-search connector": "Cohere 웹 검색 커넥터 활성화", | |
| 60 | - "Web-search": "웹 서핑", | |
| 61 | - "Allow the model to use the web-search connector.": "모델이 웹 검색 커넥터를 사용하도록 허용합니다.", | |
| 62 | 59 | "Frequency Penalty": "빈도 패널티", |
| 63 | 60 | "Presence Penalty": "존재 패널티", |
| 64 | 61 | "Count Penalty": "카운트 페널티", |
| @@ -56,9 +56,6 @@ | ||
| 56 | 56 | "Max Response Length (tokens)": "Maximale lengte van het antwoord (tokens)", |
| 57 | 57 | "Multiple swipes per generation": "Meerdere swipes per generatie", |
| 58 | 58 | "Enable OpenAI completion streaming": "OpenAI voltooiingsstreaming inschakelen", |
| 59 | - "Enable Cohere web-search connector": "Schakel de Cohere-webzoekconnector in", | |
| 60 | - "Web-search": "Web-zoeken", | |
| 61 | - "Allow the model to use the web-search connector.": "Sta toe dat het model de webzoekconnector gebruikt.", | |
| 62 | 59 | "Frequency Penalty": "Frequentieboete", |
| 63 | 60 | "Presence Penalty": "Aanwezigheidsboete", |
| 64 | 61 | "Count Penalty": "Tel straf", |
| @@ -56,9 +56,6 @@ | ||
| 56 | 56 | "Max Response Length (tokens)": "Comprimento Máximo da Resposta (tokens)", |
| 57 | 57 | "Multiple swipes per generation": "Vários furtos por geração", |
| 58 | 58 | "Enable OpenAI completion streaming": "Ativar streaming de conclusão do OpenAI", |
| 59 | - "Enable Cohere web-search connector": "Ativar o conector de pesquisa na Web Cohere", | |
| 60 | - "Web-search": "Pesquisa na internet", | |
| 61 | - "Allow the model to use the web-search connector.": "Permita que o modelo use o conector de pesquisa na Web.", | |
| 62 | 59 | "Frequency Penalty": "Pena de Frequência", |
| 63 | 60 | "Presence Penalty": "Pena de Presença", |
| 64 | 61 | "Count Penalty": "Contar penalidade", |
| @@ -772,7 +772,6 @@ | ||
| 772 | 772 | "Type a message, or /? for help": "Введите сообщение, или /? для получения справки", |
| 773 | 773 | "Welcome to SillyTavern!": "Добро пожаловать в SillyTavern!", |
| 774 | 774 | "Won't be shared with the character card on export.": "Не попадут в карточку персонажа при экспорте.", |
| 775 | - "Web-search": "Веб-поиск", | |
| 776 | 775 | "Persona Name:": "Имя персоны:", |
| 777 | 776 | "User first message": "Первое сообщение пользователя", |
| 778 | 777 | "extension_token_counter": "Токенов:", |
| @@ -1200,8 +1199,6 @@ | ||
| 1200 | 1199 | "Streaming_desc": "Выводить текст последовательно по мере его генерации.\rЕсли параметр выключен, ответы будут отображаться сразу целиком, и только после полного завершения генерации.", |
| 1201 | 1200 | "Max prompt cost:": "Max prompt cost:", |
| 1202 | 1201 | "TFS": "TFS", |
| 1203 | - "Enable Cohere web-search connector": "Enable Cohere web-search connector", | |
| 1204 | - "Allow the model to use the web-search connector.": "Allow the model to use the web-search connector.", | |
| 1205 | 1202 | "Count Penalty": "Count Penalty", |
| 1206 | 1203 | "Min P": "Min P", |
| 1207 | 1204 | "NSFW": "NSFW", |
| @@ -56,9 +56,6 @@ | ||
| 56 | 56 | "Max Response Length (tokens)": "Довжина відповіді (токени)", |
| 57 | 57 | "Multiple swipes per generation": "Кілька свайпів за покоління", |
| 58 | 58 | "Enable OpenAI completion streaming": "Увімкнути потокове завершення OpenAI", |
| 59 | - "Enable Cohere web-search connector": "Увімкнути конектор веб-пошуку Cohere", | |
| 60 | - "Web-search": "Веб-пошук", | |
| 61 | - "Allow the model to use the web-search connector.": "Дозвольте моделі використовувати конектор веб-пошуку.", | |
| 62 | 59 | "Frequency Penalty": "Штраф за частоту", |
| 63 | 60 | "Presence Penalty": "Штраф за наявність", |
| 64 | 61 | "Count Penalty": "Рахувати пенальті", |
| @@ -56,9 +56,6 @@ | ||
| 56 | 56 | "Max Response Length (tokens)": "Độ dài phản hồi tối đa (token)", |
| 57 | 57 | "Multiple swipes per generation": "Vuốt nhiều lần trong một lần tạo", |
| 58 | 58 | "Enable OpenAI completion streaming": "Bật streaming của OpenAI", |
| 59 | - "Enable Cohere web-search connector": "Bật web tìm kiếm của Cohere", | |
| 60 | - "Web-search": "Tìm kiếm trên web", | |
| 61 | - "Allow the model to use the web-search connector.": "Cho phép model sử dụng trình kết nối tìm kiếm trên web.", | |
| 62 | 59 | "Frequency Penalty": "Frequency Penalty", |
| 63 | 60 | "Presence Penalty": "Presence Penalty", |
| 64 | 61 | "Count Penalty": "Count Penalty", |
| @@ -56,9 +56,6 @@ | ||
| 56 | 56 | "Max Response Length (tokens)": "最大回复长度(以词符数计)", |
| 57 | 57 | "Multiple swipes per generation": "每次生成多个备选回复", |
| 58 | 58 | "Enable OpenAI completion streaming": "启用OpenAI文本补全流式传输", |
| 59 | - "Enable Cohere web-search connector": "启用 Cohere 网络搜索连接器", | |
| 60 | - "Web-search": "联网搜索", | |
| 61 | - "Allow the model to use the web-search connector.": "允许模型使用联网搜索。", | |
| 62 | 59 | "Frequency Penalty": "频率惩罚", |
| 63 | 60 | "Presence Penalty": "存在惩罚", |
| 64 | 61 | "Count Penalty": "计数惩罚", |
| @@ -56,9 +56,6 @@ | ||
| 56 | 56 | "Max Response Length (tokens)": "最大回應長度(符記數)", |
| 57 | 57 | "Multiple swipes per generation": "每次生成多次滑動", |
| 58 | 58 | "Enable OpenAI completion streaming": "啟用 OpenAI 補充串流", |
| 59 | - "Enable Cohere web-search connector": "啟用 Cohere 網頁搜尋連接器", | |
| 60 | - "Web-search": "網頁搜尋", | |
| 61 | - "Allow the model to use the web-search connector.": "允許模型使用網頁搜尋連接器", | |
| 62 | 59 | "Frequency Penalty": "頻率懲罰", |
| 63 | 60 | "Presence Penalty": "存在懲罰", |
| 64 | 61 | "Count Penalty": "計數懲罰", |
| @@ -5436,7 +5436,7 @@ function extractMessageFromData(data) { | ||
| 5436 | 5436 | case 'novel': |
| 5437 | 5437 | return data.output; |
| 5438 | 5438 | case 'openai': |
| 5439 | 5439 | return data?.choices?.[0]?.message?.content ?? data?.choices?.[0]?.text ?? data?.text ?? data?.message?.content?.[0]?.text ?? data?.message?.tool_plan ?? ''; |
| 5440 | 5440 | default: |
| 5441 | 5441 | return ''; |
| 5442 | 5442 | } |
| @@ -180,7 +180,13 @@ function displayError(message) { | ||
| 180 | 180 | * Preserves the query string. |
| 181 | 181 | */ |
| 182 | 182 | function redirectToHome() { |
| 183 | - window.location.href = '/' + window.location.search; | |
| 183 | + // After a login theres no need to preserve the | |
| 184 | + // noauto (if present) | |
| 185 | + const urlParams = new URLSearchParams(window.location.search); | |
| 186 | + | |
| 187 | + urlParams.delete('noauto'); | |
| 188 | + | |
| 189 | + window.location.href = '/' + urlParams.toString(); | |
| 184 | 190 | } |
| 185 | 191 | |
| 186 | 192 | /** |
| @@ -245,7 +245,7 @@ function loadNovelSettingsUi(ui_settings) { | ||
| 245 | 245 | $('#temp_novel').val(ui_settings.temperature); |
| 246 | 246 | $('#temp_counter_novel').val(Number(ui_settings.temperature).toFixed(2)); |
| 247 | 247 | $('#rep_pen_novel').val(ui_settings.repetition_penalty); |
| 248 | 248 | $('#rep_pen_counter_novel').val(Number(ui_settings.repetition_penalty).toFixed(23)); |
| 249 | 249 | $('#rep_pen_size_novel').val(ui_settings.repetition_penalty_range); |
| 250 | 250 | $('#rep_pen_size_counter_novel').val(Number(ui_settings.repetition_penalty_range).toFixed(0)); |
| 251 | 251 | $('#rep_pen_slope_novel').val(ui_settings.repetition_penalty_slope); |
| @@ -298,8 +298,8 @@ const sliders = [ | ||
| 298 | 298 | { |
| 299 | 299 | sliderId: '#rep_pen_novel', |
| 300 | 300 | counterId: '#rep_pen_counter_novel', |
| 301 | 301 | format: (val) => Number(val).toFixed(23), |
| 302 | 302 | setValue: (val) => { nai_settings.repetition_penalty = Number(val).toFixed(23); }, |
| 303 | 303 | }, |
| 304 | 304 | { |
| 305 | 305 | sliderId: '#rep_pen_size_novel', |
| @@ -225,7 +225,6 @@ const default_settings = { | ||
| 225 | 225 | top_a_openai: 0, |
| 226 | 226 | repetition_penalty_openai: 1, |
| 227 | 227 | stream_openai: false, |
| 228 | - websearch_cohere: false, | |
| 229 | 228 | openai_max_context: max_4k, |
| 230 | 229 | openai_max_tokens: 300, |
| 231 | 230 | wrap_in_quotes: false, |
| @@ -302,7 +301,6 @@ const oai_settings = { | ||
| 302 | 301 | top_a_openai: 0, |
| 303 | 302 | repetition_penalty_openai: 1, |
| 304 | 303 | stream_openai: false, |
| 305 | - websearch_cohere: false, | |
| 306 | 304 | openai_max_context: max_4k, |
| 307 | 305 | openai_max_tokens: 300, |
| 308 | 306 | wrap_in_quotes: false, |
| @@ -1847,7 +1845,6 @@ async function sendOpenAIRequest(type, messages, signal) { | ||
| 1847 | 1845 | generate_data['frequency_penalty'] = Math.min(Math.max(Number(oai_settings.freq_pen_openai), 0), 1); |
| 1848 | 1846 | generate_data['presence_penalty'] = Math.min(Math.max(Number(oai_settings.pres_pen_openai), 0), 1); |
| 1849 | 1847 | generate_data['stop'] = getCustomStoppingStrings(5); |
| 1850 | - generate_data['websearch'] = oai_settings.websearch_cohere; | |
| 1851 | 1848 | } |
| 1852 | 1849 | |
| 1853 | 1850 | if (isPerplexity) { |
| @@ -1976,12 +1973,14 @@ async function sendOpenAIRequest(type, messages, signal) { | ||
| 1976 | 1973 | } |
| 1977 | 1974 | |
| 1978 | 1975 | function getStreamingReply(data) { |
| 1979 | 1976 | if (oai_settings.chat_completion_source === chat_completion_sources.CLAUDE) { |
| 1980 | 1977 | return data?.delta?.text || ''; |
| 1981 | 1978 | } else if (oai_settings.chat_completion_source === chat_completion_sources.MAKERSUITE) { |
| 1982 | 1979 | return data?.candidates?.[0]?.content?.parts?.[0]?.text || ''; |
| 1980 | + } else if (oai_settings.chat_completion_source === chat_completion_sources.COHERE) { | |
| 1981 | + return data?.delta?.message?.content?.text || data?.delta?.message?.tool_plan || ''; | |
| 1983 | 1982 | } else { |
| 1984 | 1983 | return data.choices?.[0]?.delta?.content ?? data.choices?.[0]?.message?.content ?? data.choices?.[0]?.text ?? ''; |
| 1985 | 1984 | } |
| 1986 | 1985 | } |
| 1987 | 1986 | |
| @@ -2857,7 +2856,6 @@ function loadOpenAISettings(data, settings) { | ||
| 2857 | 2856 | oai_settings.min_p_openai = settings.min_p_openai ?? default_settings.min_p_openai; |
| 2858 | 2857 | oai_settings.repetition_penalty_openai = settings.repetition_penalty_openai ?? default_settings.repetition_penalty_openai; |
| 2859 | 2858 | oai_settings.stream_openai = settings.stream_openai ?? default_settings.stream_openai; |
| 2860 | - oai_settings.websearch_cohere = settings.websearch_cohere ?? default_settings.websearch_cohere; | |
| 2861 | 2859 | oai_settings.openai_max_context = settings.openai_max_context ?? default_settings.openai_max_context; |
| 2862 | 2860 | oai_settings.openai_max_tokens = settings.openai_max_tokens ?? default_settings.openai_max_tokens; |
| 2863 | 2861 | oai_settings.bias_preset_selected = settings.bias_preset_selected ?? default_settings.bias_preset_selected; |
| @@ -2931,7 +2929,6 @@ function loadOpenAISettings(data, settings) { | ||
| 2931 | 2929 | if (settings.use_makersuite_sysprompt !== undefined) oai_settings.use_makersuite_sysprompt = !!settings.use_makersuite_sysprompt; |
| 2932 | 2930 | if (settings.use_alt_scale !== undefined) { oai_settings.use_alt_scale = !!settings.use_alt_scale; updateScaleForm(); } |
| 2933 | 2931 | $('#stream_toggle').prop('checked', oai_settings.stream_openai); |
| 2934 | - $('#websearch_toggle').prop('checked', oai_settings.websearch_cohere); | |
| 2935 | 2932 | $('#api_url_scale').val(oai_settings.api_url_scale); |
| 2936 | 2933 | $('#openai_proxy_password').val(oai_settings.proxy_password); |
| 2937 | 2934 | $('#claude_assistant_prefill').val(oai_settings.assistant_prefill); |
| @@ -3258,7 +3255,6 @@ async function saveOpenAIPreset(name, settings, triggerUi = true) { | ||
| 3258 | 3255 | personality_format: settings.personality_format, |
| 3259 | 3256 | group_nudge_prompt: settings.group_nudge_prompt, |
| 3260 | 3257 | stream_openai: settings.stream_openai, |
| 3261 | - websearch_cohere: settings.websearch_cohere, | |
| 3262 | 3258 | prompts: settings.prompts, |
| 3263 | 3259 | prompt_order: settings.prompt_order, |
| 3264 | 3260 | api_url_scale: settings.api_url_scale, |
| @@ -3682,7 +3678,6 @@ function onSettingsPresetChange() { | ||
| 3682 | 3678 | personality_format: ['#personality_format_textarea', 'personality_format', false], |
| 3683 | 3679 | group_nudge_prompt: ['#group_nudge_prompt_textarea', 'group_nudge_prompt', false], |
| 3684 | 3680 | stream_openai: ['#stream_toggle', 'stream_openai', true], |
| 3685 | - websearch_cohere: ['#websearch_toggle', 'websearch_cohere', true], | |
| 3686 | 3681 | prompts: ['', 'prompts', false], |
| 3687 | 3682 | prompt_order: ['', 'prompt_order', false], |
| 3688 | 3683 | api_url_scale: ['#api_url_scale', 'api_url_scale', false], |
| @@ -4846,11 +4841,6 @@ export function initOpenAI() { | ||
| 4846 | 4841 | saveSettingsDebounced(); |
| 4847 | 4842 | }); |
| 4848 | 4843 | |
| 4849 | - $('#websearch_toggle').on('change', function () { | |
| 4850 | - oai_settings.websearch_cohere = !!$('#websearch_toggle').prop('checked'); | |
| 4851 | - saveSettingsDebounced(); | |
| 4852 | - }); | |
| 4853 | - | |
| 4854 | 4844 | $('#wrap_in_quotes').on('change', function () { |
| 4855 | 4845 | oai_settings.wrap_in_quotes = !!$('#wrap_in_quotes').prop('checked'); |
| 4856 | 4846 | saveSettingsDebounced(); |
| @@ -108,9 +108,21 @@ function getDelay(s) { | ||
| 108 | 108 | * @returns {AsyncGenerator<{data: object, chunk: string}>} The parsed data and the chunk to be sent. |
| 109 | 109 | */ |
| 110 | 110 | async function* parseStreamData(json) { |
| 111 | + // Cohere | |
| 112 | + if (typeof json.delta.message === 'object' && ['tool-plan-delta', 'content-delta'].includes(json.type)) { | |
| 113 | + const text = json?.delta?.message?.content?.text ?? ''; | |
| 114 | + for (let i = 0; i < text.length; i++) { | |
| 115 | + const str = json.delta.message.content.text[i]; | |
| 116 | + yield { | |
| 117 | + data: { ...json, delta: { message: { content: { text: str } } } }, | |
| 118 | + chunk: str, | |
| 119 | + }; | |
| 120 | + } | |
| 121 | + return; | |
| 122 | + } | |
| 111 | 123 | // Claude |
| 112 | 124 | if (typeof json.delta === 'object' && typeof json.delta.text === 'string') { |
| 113 | 125 | if (typeof json.delta.text === 'string' && json.delta.text.length > 0) { |
| 114 | 126 | for (let i = 0; i < json.delta.text.length; i++) { |
| 115 | 127 | const str = json.delta.text[i]; |
| 116 | 128 | yield { |
| @@ -4,6 +4,7 @@ import { textgenerationwebui_settings as textgen_settings, textgen_types } from | ||
| 4 | 4 | import { tokenizers } from './tokenizers.js'; |
| 5 | 5 | import { renderTemplateAsync } from './templates.js'; |
| 6 | 6 | import { POPUP_TYPE, callGenericPopup } from './popup.js'; |
| 7 | +import { PAGINATION_TEMPLATE } from './utils.js'; | |
| 7 | 8 | |
| 8 | 9 | let mancerModels = []; |
| 9 | 10 | let togetherModels = []; |
| @@ -265,19 +266,212 @@ export async function loadAphroditeModels(data) { | ||
| 265 | 266 | } |
| 266 | 267 | } |
| 267 | 268 | |
| 269 | +let featherlessCurrentPage = 1; | |
| 268 | 270 | export async function loadFeatherlessModels(data) { |
| 271 | + const searchBar = document.getElementById('featherless_model_search_bar'); | |
| 272 | + const modelCardBlock = document.getElementById('featherless_model_card_block'); | |
| 273 | + const paginationContainer = $('#featherless_model_pagination_container'); | |
| 274 | + const sortOrderSelect = document.getElementById('featherless_model_sort_order'); | |
| 275 | + const classSelect = document.getElementById('featherless_class_selection'); | |
| 276 | + const categoriesSelect = document.getElementById('featherless_category_selection'); | |
| 277 | + const storageKey = 'FeatherlessModels_PerPage'; | |
| 278 | + | |
| 279 | + // Store the original models data for search and filtering | |
| 280 | + let originalModels = []; | |
| 281 | + | |
| 269 | 282 | if (!Array.isArray(data)) { |
| 270 | 283 | console.error('Invalid Featherless models data', data); |
| 271 | 284 | return; |
| 272 | 285 | } |
| 273 | 286 | |
| 287 | + // Sort the data by model id (default A-Z) | |
| 274 | 288 | data.sort((a, b) => a.id.localeCompare(b.id)); |
| 289 | + originalModels = data; // Store the original data for search | |
| 275 | 290 | featherlessModels = data; |
| 276 | 291 | |
| 277 | - if (!data.find(x => x.id === textgen_settings.featherless_model)) { | |
| 292 | + // Populate class select options with unique classes | |
| 278 | - textgen_settings.featherless_model = data[0]?.id || ''; | |
| 293 | + populateClassSelection(data); | |
| 294 | + | |
| 295 | + // Retrieve the stored number of items per page or default to 5 | |
| 296 | + const perPage = Number(localStorage.getItem(storageKey)) || 10; | |
| 297 | + | |
| 298 | + // Initialize pagination with the full set of models | |
| 299 | + const selectedModelPage = (data.findIndex(x => x.id === textgen_settings.featherless_model) / perPage) + 1; | |
| 300 | + featherlessCurrentPage = selectedModelPage > 0 ? selectedModelPage : 1; | |
| 301 | + setupPagination(originalModels, perPage); | |
| 302 | + | |
| 303 | + // Function to set up pagination (also used for filtered results) | |
| 304 | + function setupPagination(models, perPage, pageNumber = featherlessCurrentPage) { | |
| 305 | + paginationContainer.pagination({ | |
| 306 | + dataSource: models, | |
| 307 | + pageSize: perPage, | |
| 308 | + pageNumber: pageNumber, | |
| 309 | + sizeChangerOptions: [6, 10, 26, 50, 100, 250, 500, 1000], | |
| 310 | + pageRange: 1, | |
| 311 | + showPageNumbers: true, | |
| 312 | + showSizeChanger: false, | |
| 313 | + prevText: '<', | |
| 314 | + nextText: '>', | |
| 315 | + formatNavigator: function (currentPage, totalPage) { | |
| 316 | + return (currentPage - 1) * perPage + 1 + ' - ' + currentPage * perPage + ' of ' + totalPage * perPage; | |
| 317 | + }, | |
| 318 | + showNavigator: true, | |
| 319 | + callback: function (modelsOnPage, pagination) { | |
| 320 | + modelCardBlock.innerHTML = ''; | |
| 321 | + | |
| 322 | + modelsOnPage.forEach(model => { | |
| 323 | + const card = document.createElement('div'); | |
| 324 | + card.classList.add('model-card'); | |
| 325 | + | |
| 326 | + const modelNameContainer = document.createElement('div'); | |
| 327 | + modelNameContainer.classList.add('model-name-container'); | |
| 328 | + | |
| 329 | + const modelTitle = document.createElement('div'); | |
| 330 | + modelTitle.classList.add('model-title'); | |
| 331 | + modelTitle.textContent = model.id.replace(/_/g, '_\u200B'); | |
| 332 | + modelNameContainer.appendChild(modelTitle); | |
| 333 | + | |
| 334 | + const detailsContainer = document.createElement('div'); | |
| 335 | + detailsContainer.classList.add('details-container'); | |
| 336 | + | |
| 337 | + const modelClassDiv = document.createElement('div'); | |
| 338 | + modelClassDiv.classList.add('model-class'); | |
| 339 | + modelClassDiv.textContent = `Class: ${model.model_class || 'N/A'}`; | |
| 340 | + | |
| 341 | + const contextLengthDiv = document.createElement('div'); | |
| 342 | + contextLengthDiv.classList.add('model-context-length'); | |
| 343 | + contextLengthDiv.textContent = `Context Length: ${model.context_length}`; | |
| 344 | + | |
| 345 | + const dateAddedDiv = document.createElement('div'); | |
| 346 | + dateAddedDiv.classList.add('model-date-added'); | |
| 347 | + dateAddedDiv.textContent = `Added On: ${new Date(model.updated_at).toLocaleDateString()}`; | |
| 348 | + | |
| 349 | + detailsContainer.appendChild(modelClassDiv); | |
| 350 | + detailsContainer.appendChild(contextLengthDiv); | |
| 351 | + detailsContainer.appendChild(dateAddedDiv); | |
| 352 | + | |
| 353 | + card.appendChild(modelNameContainer); | |
| 354 | + card.appendChild(detailsContainer); | |
| 355 | + | |
| 356 | + modelCardBlock.appendChild(card); | |
| 357 | + | |
| 358 | + if (model.id === textgen_settings.featherless_model) { | |
| 359 | + card.classList.add('selected'); | |
| 360 | + } | |
| 361 | + | |
| 362 | + card.addEventListener('click', function () { | |
| 363 | + document.querySelectorAll('.model-card').forEach(c => c.classList.remove('selected')); | |
| 364 | + card.classList.add('selected'); | |
| 365 | + onFeatherlessModelSelect(model.id); | |
| 366 | + }); | |
| 367 | + }); | |
| 368 | + | |
| 369 | + // Update the current page value whenever the page changes | |
| 370 | + featherlessCurrentPage = pagination.pageNumber; | |
| 371 | + }, | |
| 372 | + afterSizeSelectorChange: function (e) { | |
| 373 | + const newPerPage = e.target.value; | |
| 374 | + localStorage.setItem('Models_PerPage', newPerPage); | |
| 375 | + setupPagination(models, Number(newPerPage), featherlessCurrentPage); // Use the stored current page number | |
| 376 | + }, | |
| 377 | + }); | |
| 378 | + } | |
| 379 | + | |
| 380 | + // Unset previously added listeners | |
| 381 | + $(searchBar).off('input'); | |
| 382 | + $(sortOrderSelect).off('change'); | |
| 383 | + $(classSelect).off('change'); | |
| 384 | + $(categoriesSelect).off('change'); | |
| 385 | + | |
| 386 | + // Add event listener for input on the search bar | |
| 387 | + searchBar.addEventListener('input', function () { | |
| 388 | + applyFiltersAndSort(); | |
| 389 | + }); | |
| 390 | + | |
| 391 | + // Add event listener for the sort order select | |
| 392 | + sortOrderSelect.addEventListener('change', function () { | |
| 393 | + applyFiltersAndSort(); | |
| 394 | + }); | |
| 395 | + | |
| 396 | + // Add event listener for the class select | |
| 397 | + classSelect.addEventListener('change', function () { | |
| 398 | + applyFiltersAndSort(); | |
| 399 | + }); | |
| 400 | + | |
| 401 | + categoriesSelect.addEventListener('change', function () { | |
| 402 | + applyFiltersAndSort(); | |
| 403 | + }); | |
| 404 | + | |
| 405 | + // Function to populate class selection dropdown | |
| 406 | + function populateClassSelection(models) { | |
| 407 | + const uniqueClasses = [...new Set(models.map(model => model.model_class).filter(Boolean))]; // Get unique class names | |
| 408 | + uniqueClasses.sort((a, b) => a.localeCompare(b)); | |
| 409 | + uniqueClasses.forEach(className => { | |
| 410 | + const option = document.createElement('option'); | |
| 411 | + option.value = className; | |
| 412 | + option.textContent = className; | |
| 413 | + classSelect.appendChild(option); | |
| 414 | + }); | |
| 279 | 415 | } |
| 280 | 416 | |
| 417 | + // Function to apply sorting and filtering based on user input | |
| 418 | + async function applyFiltersAndSort() { | |
| 419 | + if (!(searchBar instanceof HTMLInputElement) || | |
| 420 | + !(sortOrderSelect instanceof HTMLSelectElement) || | |
| 421 | + !(classSelect instanceof HTMLSelectElement) || | |
| 422 | + !(categoriesSelect instanceof HTMLSelectElement)) { | |
| 423 | + return; | |
| 424 | + } | |
| 425 | + const searchQuery = searchBar.value.toLowerCase(); | |
| 426 | + const selectedSortOrder = sortOrderSelect.value; | |
| 427 | + const selectedClass = classSelect.value; | |
| 428 | + const selectedCategory = categoriesSelect.value; | |
| 429 | + let featherlessTop = []; | |
| 430 | + let featherlessNew = []; | |
| 431 | + | |
| 432 | + if (selectedCategory === 'Top') { | |
| 433 | + featherlessTop = await fetchFeatherlessStats(); | |
| 434 | + } | |
| 435 | + const featherlessIds = featherlessTop.map(stat => stat.id); | |
| 436 | + if (selectedCategory === 'New') { | |
| 437 | + featherlessNew = await fetchFeatherlessNew(); | |
| 438 | + } | |
| 439 | + const featherlessNewIds = featherlessNew.map(stat => stat.id); | |
| 440 | + | |
| 441 | + let filteredModels = originalModels.filter(model => { | |
| 442 | + const matchesSearch = model.id.toLowerCase().includes(searchQuery); | |
| 443 | + const matchesClass = selectedClass ? model.model_class === selectedClass : true; | |
| 444 | + const matchesTop = featherlessIds.includes(model.id); | |
| 445 | + const matchesNew = featherlessNewIds.includes(model.id); | |
| 446 | + | |
| 447 | + if (selectedCategory === 'All') { | |
| 448 | + return matchesSearch && matchesClass; | |
| 449 | + } | |
| 450 | + else if (selectedCategory === 'Top') { | |
| 451 | + return matchesSearch && matchesClass && matchesTop; | |
| 452 | + } | |
| 453 | + else if (selectedCategory === 'New') { | |
| 454 | + return matchesSearch && matchesClass && matchesNew; | |
| 455 | + } | |
| 456 | + else { | |
| 457 | + return matchesSearch; | |
| 458 | + } | |
| 459 | + }); | |
| 460 | + | |
| 461 | + if (selectedSortOrder === 'asc') { | |
| 462 | + filteredModels.sort((a, b) => a.id.localeCompare(b.id)); | |
| 463 | + } else if (selectedSortOrder === 'desc') { | |
| 464 | + filteredModels.sort((a, b) => b.id.localeCompare(a.id)); | |
| 465 | + } else if (selectedSortOrder === 'date_asc') { | |
| 466 | + filteredModels.sort((a, b) => a.updated_at.localeCompare(b.updated_at)); | |
| 467 | + } else if (selectedSortOrder === 'date_desc') { | |
| 468 | + filteredModels.sort((a, b) => b.updated_at.localeCompare(a.updated_at)); | |
| 469 | + } | |
| 470 | + | |
| 471 | + setupPagination(filteredModels, Number(localStorage.getItem(storageKey)) || perPage, featherlessCurrentPage); | |
| 472 | + } | |
| 473 | + | |
| 474 | + // Required to keep the /model command function | |
| 281 | 475 | $('#featherless_model').empty(); |
| 282 | 476 | for (const model of data) { |
| 283 | 477 | const option = document.createElement('option'); |
| @@ -288,15 +482,49 @@ export async function loadFeatherlessModels(data) { | ||
| 288 | 482 | } |
| 289 | 483 | } |
| 290 | 484 | |
| 291 | 485 | async function onFeatherlessModelSelectfetchFeatherlessStats() { |
| 292 | - const modelId = String($('#featherless_model').val()); | |
| 486 | + const response = await fetch('https://api.featherless.ai/feather/popular'); | |
| 487 | + const data = await response.json(); | |
| 488 | + return data.popular; | |
| 489 | +} | |
| 490 | + | |
| 491 | +async function fetchFeatherlessNew() { | |
| 492 | + const response = await fetch('https://api.featherless.ai/feather/models?sort=-created_at&perPage=10'); | |
| 493 | + const data = await response.json(); | |
| 494 | + return data.items; | |
| 495 | +} | |
| 496 | + | |
| 497 | +function onFeatherlessModelSelect(modelId) { | |
| 498 | + const model = featherlessModels.find(x => x.id === modelId); | |
| 293 | 499 | textgen_settings.featherless_model = modelId; |
| 500 | + $('#featherless_model').val(modelId); | |
| 294 | 501 | $('#api_button_textgenerationwebui').trigger('click'); |
| 295 | - const model = featherlessModels.find(x => x.id === modelId); | |
| 296 | 502 | setGenerationParamsFromPreset({ max_length: model.context_length }); |
| 297 | 503 | } |
| 298 | 504 | |
| 505 | +let featherlessIsGridView = false; // Default state set to grid view | |
| 506 | + | |
| 507 | +// Ensure the correct initial view is applied when the page loads | |
| 508 | +document.addEventListener('DOMContentLoaded', function () { | |
| 509 | + const modelCardBlock = document.getElementById('featherless_model_card_block'); | |
| 510 | + modelCardBlock.classList.add('list-view'); | |
| 511 | + | |
| 512 | + const toggleButton = document.getElementById('featherless_model_grid_toggle'); | |
| 513 | + toggleButton.addEventListener('click', function () { | |
| 514 | + // Toggle between grid and list view | |
| 515 | + if (featherlessIsGridView) { | |
| 516 | + modelCardBlock.classList.remove('grid-view'); | |
| 517 | + modelCardBlock.classList.add('list-view'); | |
| 518 | + this.title = 'Toggle to grid view'; | |
| 519 | + } else { | |
| 520 | + modelCardBlock.classList.remove('list-view'); | |
| 521 | + modelCardBlock.classList.add('grid-view'); | |
| 522 | + this.title = 'Toggle to list view'; | |
| 523 | + } | |
| 299 | 524 | |
| 525 | + featherlessIsGridView = !featherlessIsGridView; | |
| 526 | + }); | |
| 527 | +}); | |
| 300 | 528 | function onMancerModelSelect() { |
| 301 | 529 | const modelId = String($('#mancer_model').val()); |
| 302 | 530 | textgen_settings.mancer_model = modelId; |
| @@ -469,20 +697,6 @@ function getAphroditeModelTemplate(option) { | ||
| 469 | 697 | `)); |
| 470 | 698 | } |
| 471 | 699 | |
| 472 | -function getFeatherlessModelTemplate(option) { | |
| 473 | - const model = featherlessModels.find(x => x.id === option?.element?.value); | |
| 474 | - | |
| 475 | - if (!option.id || !model) { | |
| 476 | - return option.text; | |
| 477 | - } | |
| 478 | - | |
| 479 | - return $((` | |
| 480 | - <div class="flex-container flexFlowColumn"> | |
| 481 | - <div><strong>${DOMPurify.sanitize(model.name)}</strong> | <span>${model.context_length || '???'} tokens</span></div> | |
| 482 | - </div> | |
| 483 | - `)); | |
| 484 | -} | |
| 485 | - | |
| 486 | 700 | async function downloadOllamaModel() { |
| 487 | 701 | try { |
| 488 | 702 | const serverUrl = textgen_settings.server_urls[textgen_types.OLLAMA]; |
| @@ -670,9 +884,9 @@ export function initTextGenModels() { | ||
| 670 | 884 | $('#ollama_download_model').on('click', downloadOllamaModel); |
| 671 | 885 | $('#vllm_model').on('change', onVllmModelSelect); |
| 672 | 886 | $('#aphrodite_model').on('change', onAphroditeModelSelect); |
| 673 | - $('#featherless_model').on('change', onFeatherlessModelSelect); | |
| 674 | 887 | $('#tabby_download_model').on('click', downloadTabbyModel); |
| 675 | 888 | $('#tabby_model').on('change', onTabbyModelSelect); |
| 889 | + $('#featherless_model').on('change', () => onFeatherlessModelSelect(String($('#featherless_model').val()))); | |
| 676 | 890 | |
| 677 | 891 | const providersSelect = $('.openrouter_providers'); |
| 678 | 892 | for (const provider of OPENROUTER_PROVIDERS) { |
| @@ -745,13 +959,6 @@ export function initTextGenModels() { | ||
| 745 | 959 | width: '100%', |
| 746 | 960 | templateResult: getAphroditeModelTemplate, |
| 747 | 961 | }); |
| 748 | - $('#featherless_model').select2({ | |
| 749 | - placeholder: 'Select a model', | |
| 750 | - searchInputPlaceholder: 'Search models...', | |
| 751 | - searchInputCssClass: 'text_pole', | |
| 752 | - width: '100%', | |
| 753 | - templateResult: getFeatherlessModelTemplate, | |
| 754 | - }); | |
| 755 | 962 | providersSelect.select2({ |
| 756 | 963 | sorter: data => data.sort((a, b) => a.text.localeCompare(b.text)), |
| 757 | 964 | placeholder: 'Select providers. No selection = all providers.', |
| @@ -193,6 +193,7 @@ const settings = { | ||
| 193 | 193 | openrouter_allow_fallbacks: true, |
| 194 | 194 | xtc_threshold: 0.1, |
| 195 | 195 | xtc_probability: 0, |
| 196 | + featherless_model: '', | |
| 196 | 197 | }; |
| 197 | 198 | |
| 198 | 199 | export let textgenerationwebui_banned_in_macros = []; |
| @@ -292,10 +292,10 @@ export class ToolManager { | ||
| 292 | 292 | |
| 293 | 293 | if (error instanceof Error) { |
| 294 | 294 | error.cause = name; |
| 295 | 295 | return error.toString(); |
| 296 | 296 | } |
| 297 | 297 | |
| 298 | 298 | return new Error('Unknown error occurred while invoking the tool.', { cause: name }).toString(); |
| 299 | 299 | } |
| 300 | 300 | } |
| 301 | 301 | |
| @@ -365,6 +365,9 @@ export class ToolManager { | ||
| 365 | 365 | * @returns {void} |
| 366 | 366 | */ |
| 367 | 367 | static parseToolCalls(toolCalls, parsed) { |
| 368 | + if (!this.isToolCallingSupported()) { | |
| 369 | + return; | |
| 370 | + } | |
| 368 | 371 | if (Array.isArray(parsed?.choices)) { |
| 369 | 372 | for (const choice of parsed.choices) { |
| 370 | 373 | const choiceIndex = (typeof choice.index === 'number') ? choice.index : null; |
| @@ -401,6 +404,22 @@ export class ToolManager { | ||
| 401 | 404 | } |
| 402 | 405 | } |
| 403 | 406 | } |
| 407 | + const cohereToolEvents = ['message-start', 'tool-call-start', 'tool-call-delta', 'tool-call-end']; | |
| 408 | + if (cohereToolEvents.includes(parsed?.type) && typeof parsed?.delta?.message === 'object') { | |
| 409 | + const choiceIndex = 0; | |
| 410 | + const toolCallIndex = parsed?.index ?? 0; | |
| 411 | + | |
| 412 | + if (!Array.isArray(toolCalls[choiceIndex])) { | |
| 413 | + toolCalls[choiceIndex] = []; | |
| 414 | + } | |
| 415 | + | |
| 416 | + if (toolCalls[choiceIndex][toolCallIndex] === undefined) { | |
| 417 | + toolCalls[choiceIndex][toolCallIndex] = {}; | |
| 418 | + } | |
| 419 | + | |
| 420 | + const targetToolCall = toolCalls[choiceIndex][toolCallIndex]; | |
| 421 | + ToolManager.#applyToolCallDelta(targetToolCall, parsed.delta.message); | |
| 422 | + } | |
| 404 | 423 | if (typeof parsed?.content_block === 'object') { |
| 405 | 424 | const choiceIndex = 0; |
| 406 | 425 | const toolCallIndex = parsed?.index ?? 0; |
| @@ -503,6 +522,7 @@ export class ToolManager { | ||
| 503 | 522 | chat_completion_sources.CLAUDE, |
| 504 | 523 | chat_completion_sources.OPENROUTER, |
| 505 | 524 | chat_completion_sources.GROQ, |
| 525 | + chat_completion_sources.COHERE, | |
| 506 | 526 | ]; |
| 507 | 527 | return supportedSources.includes(oai_settings.chat_completion_source); |
| 508 | 528 | } |
| @@ -529,7 +549,15 @@ export class ToolManager { | ||
| 529 | 549 | |
| 530 | 550 | // Parsed tool calls from streaming data |
| 531 | 551 | if (Array.isArray(data) && data.length > 0 && Array.isArray(data[0])) { |
| 532 | - return isClaudeToolCall(data[0]) ? data[0].filter(x => x).map(convertClaudeToolCall) : data[0]; | |
| 552 | + if (isClaudeToolCall(data[0])) { | |
| 553 | + return data[0].filter(x => x).map(convertClaudeToolCall); | |
| 554 | + } | |
| 555 | + | |
| 556 | + if (typeof data[0]?.[0]?.tool_calls === 'object') { | |
| 557 | + return Array.isArray(data[0]?.[0]?.tool_calls) ? data[0][0].tool_calls : [data[0][0].tool_calls]; | |
| 558 | + } | |
| 559 | + | |
| 560 | + return data[0]; | |
| 533 | 561 | } |
| 534 | 562 | |
| 535 | 563 | // Parsed tool calls from non-streaming data |
| @@ -550,6 +578,11 @@ export class ToolManager { | ||
| 550 | 578 | return content; |
| 551 | 579 | } |
| 552 | 580 | } |
| 581 | + | |
| 582 | + // Cohere tool calls | |
| 583 | + if (typeof data?.message?.tool_calls === 'object') { | |
| 584 | + return Array.isArray(data?.message?.tool_calls) ? data.message.tool_calls : [data.message.tool_calls]; | |
| 585 | + } | |
| 553 | 586 | } |
| 554 | 587 | |
| 555 | 588 | /** |
| @@ -848,7 +848,14 @@ async function logout() { | ||
| 848 | 848 | headers: getRequestHeaders(), |
| 849 | 849 | }); |
| 850 | 850 | |
| 851 | - window.location.reload(); | |
| 851 | + // On an explicit logout stop auto login | |
| 852 | + // to allow user to change username even | |
| 853 | + // when auto auth (such as authelia or basic) | |
| 854 | + // would be valid | |
| 855 | + const urlParams = new URLSearchParams(window.location.search); | |
| 856 | + urlParams.set('noauto', 'true'); | |
| 857 | + | |
| 858 | + window.location.search = urlParams.toString(); | |
| 852 | 859 | } |
| 853 | 860 | |
| 854 | 861 | /** |
| @@ -836,6 +836,40 @@ function randValuesCallback(from, to, args) { | ||
| 836 | 836 | return value; |
| 837 | 837 | } |
| 838 | 838 | |
| 839 | +function customSortComparitor(a, b) { | |
| 840 | + if (typeof a != typeof b) { | |
| 841 | + a = typeof a; | |
| 842 | + b = typeof b; | |
| 843 | + } | |
| 844 | + return a > b ? 1 : a < b ? -1 : 0; | |
| 845 | +} | |
| 846 | + | |
| 847 | +function sortArrayObjectCallback(args, value) { | |
| 848 | + let parsedValue; | |
| 849 | + if (typeof value == 'string') { | |
| 850 | + try { | |
| 851 | + parsedValue = JSON.parse(value); | |
| 852 | + } catch { | |
| 853 | + // return the original input if it was invalid | |
| 854 | + return value; | |
| 855 | + } | |
| 856 | + } else { | |
| 857 | + parsedValue = value; | |
| 858 | + } | |
| 859 | + if (Array.isArray(parsedValue)) { | |
| 860 | + // always sort lists by value | |
| 861 | + parsedValue.sort(customSortComparitor); | |
| 862 | + } else if (typeof parsedValue == 'object') { | |
| 863 | + let keysort = args.keysort; | |
| 864 | + if (isFalseBoolean(keysort)) { | |
| 865 | + parsedValue = Object.keys(parsedValue).sort(function (a, b) { return customSortComparitor(parsedValue[a], parsedValue[b]); }); | |
| 866 | + } else { | |
| 867 | + parsedValue = Object.keys(parsedValue).sort(customSortComparitor); | |
| 868 | + } | |
| 869 | + } | |
| 870 | + return JSON.stringify(parsedValue); | |
| 871 | +} | |
| 872 | + | |
| 839 | 873 | /** |
| 840 | 874 | * Declare a new variable in the current scope. |
| 841 | 875 | * @param {NamedArguments} args Named arguments. |
| @@ -2110,6 +2144,51 @@ export function registerVariableCommands() { | ||
| 2110 | 2144 | `, |
| 2111 | 2145 | })); |
| 2112 | 2146 | SlashCommandParser.addCommandObject(SlashCommand.fromProps({ |
| 2147 | + name: 'sort', | |
| 2148 | + callback: sortArrayObjectCallback, | |
| 2149 | + returns: 'the sorted list or dictionary keys', | |
| 2150 | + namedArgumentList: [ | |
| 2151 | + SlashCommandNamedArgument.fromProps({ name: 'keysort', | |
| 2152 | + description: 'whether to sort by key or value; ignored for lists', | |
| 2153 | + typeList: [ARGUMENT_TYPE.BOOLEAN], | |
| 2154 | + enumList: ['true', 'false'], | |
| 2155 | + defaultValue: 'true', | |
| 2156 | + }), | |
| 2157 | + ], | |
| 2158 | + unnamedArgumentList: [ | |
| 2159 | + SlashCommandArgument.fromProps({ | |
| 2160 | + description: 'value', | |
| 2161 | + typeList: [ARGUMENT_TYPE.STRING, ARGUMENT_TYPE.NUMBER, ARGUMENT_TYPE.LIST, ARGUMENT_TYPE.DICTIONARY], | |
| 2162 | + isRequired: true, | |
| 2163 | + forceEnum: false, | |
| 2164 | + }), | |
| 2165 | + ], | |
| 2166 | + helpString: ` | |
| 2167 | + <div> | |
| 2168 | + Sorts a list or dictionary in ascending order and passes the result down the pipe. | |
| 2169 | + <ul> | |
| 2170 | + <li> | |
| 2171 | + For lists, returns the list sorted by value. | |
| 2172 | + </li> | |
| 2173 | + <li> | |
| 2174 | + For dictionaries, returns the ordered list of keys after sorting. Setting keysort=false means keys are sorted by associated value. | |
| 2175 | + </li> | |
| 2176 | + </ul> | |
| 2177 | + </div> | |
| 2178 | + <div> | |
| 2179 | + <strong>Examples:</strong> | |
| 2180 | + <ul> | |
| 2181 | + <li> | |
| 2182 | + <pre><code class="language-stscript">/sort [5,3,4,1,2] | /echo</code></pre> | |
| 2183 | + </li> | |
| 2184 | + <li> | |
| 2185 | + <pre><code class="language-stscript">/sort keysort=false {"a": 1, "d": 3, "c": 2, "b": 5} | /echo</code></pre> | |
| 2186 | + </li> | |
| 2187 | + </ul> | |
| 2188 | + </div> | |
| 2189 | + `, | |
| 2190 | + })); | |
| 2191 | + SlashCommandParser.addCommandObject(SlashCommand.fromProps({ | |
| 2113 | 2192 | name: 'rand', |
| 2114 | 2193 | callback: (args, value) => String(randValuesCallback(Number(args.from ?? 0), Number(args.to ?? (value ? value : 1)), args)), |
| 2115 | 2194 | returns: 'random number', |
| @@ -5547,3 +5547,129 @@ body:not(.movingUI) .drawer-content.maximized { | ||
| 5547 | 5547 | #InstructSequencesColumn details:not(:last-of-type) { |
| 5548 | 5548 | margin-bottom: 5px; |
| 5549 | 5549 | } |
| 5550 | + | |
| 5551 | +#user_avatar_block { | |
| 5552 | + display: flex; | |
| 5553 | + flex-wrap: wrap; | |
| 5554 | + gap: 10px; | |
| 5555 | +} | |
| 5556 | + | |
| 5557 | +/* Main structure for the model cards */ | |
| 5558 | +.model-card { | |
| 5559 | + display: flex; | |
| 5560 | + justify-content: space-between; | |
| 5561 | + align-items: center; | |
| 5562 | + padding: 5px; | |
| 5563 | + border: 1px solid #333; | |
| 5564 | + border-radius: 8px; | |
| 5565 | + background-color: #222; | |
| 5566 | + color: #fff; | |
| 5567 | + margin: 7px; | |
| 5568 | + width: calc(100% - 7px); | |
| 5569 | + box-sizing: border-box; | |
| 5570 | + transition: transform 0.2s ease-in-out, background-color 0.2s ease-in-out, border 0.2s ease-in-out; | |
| 5571 | +} | |
| 5572 | + | |
| 5573 | +.model-card .details-container { | |
| 5574 | + text-align: right; | |
| 5575 | +} | |
| 5576 | + | |
| 5577 | +.model-card:hover { | |
| 5578 | + transform: scale(1.01); | |
| 5579 | + background-color: #444; | |
| 5580 | + transition: transform 0.2s ease-in-out, background-color 0.2s ease-in-out; /* Smooth transition */ | |
| 5581 | +} | |
| 5582 | + | |
| 5583 | +.model-card.selected { | |
| 5584 | + border: 2px solid var(--okGreen70a); | |
| 5585 | + background-color: var(--okGreen70a); | |
| 5586 | +} | |
| 5587 | + | |
| 5588 | +.model-info { | |
| 5589 | + flex: 1; | |
| 5590 | + white-space: nowrap; | |
| 5591 | + overflow: hidden; | |
| 5592 | + text-overflow: ellipsis; | |
| 5593 | +} | |
| 5594 | + | |
| 5595 | +.model-title { | |
| 5596 | + font-size: 13px; | |
| 5597 | + font-weight: bold; | |
| 5598 | + overflow: hidden; | |
| 5599 | +} | |
| 5600 | + | |
| 5601 | +.model-details { | |
| 5602 | + display: flex; | |
| 5603 | + flex-direction: column; | |
| 5604 | + align-items: flex-end; | |
| 5605 | + text-align: right; | |
| 5606 | + min-width: 120px; | |
| 5607 | +} | |
| 5608 | + | |
| 5609 | +.model-class, .model-context-length, .model-date-added { | |
| 5610 | + font-size: 10px; | |
| 5611 | +} | |
| 5612 | + | |
| 5613 | +.model-class, .model-context-length { | |
| 5614 | + margin-bottom: 5px; | |
| 5615 | +} | |
| 5616 | + | |
| 5617 | +#featherless_model_pagination_container .paginationjs-nav { | |
| 5618 | + min-width: max-content; | |
| 5619 | +} | |
| 5620 | + | |
| 5621 | +#featherless_model_card_block.grid-view { | |
| 5622 | + grid-template-columns: repeat(2, 1fr); | |
| 5623 | + display: flex; | |
| 5624 | + flex-wrap: wrap; | |
| 5625 | + /* gap: 3px; */ | |
| 5626 | + justify-content: flex-start; | |
| 5627 | +} | |
| 5628 | + | |
| 5629 | +/* Grid-view card */ | |
| 5630 | +#featherless_model_card_block.grid-view .model-card { | |
| 5631 | + flex-direction: column; | |
| 5632 | + flex: 1 1 calc(50% - 30px); | |
| 5633 | +} | |
| 5634 | + | |
| 5635 | +#featherless_model_search_bar { | |
| 5636 | + width: 15ch; | |
| 5637 | + flex-grow: 0; | |
| 5638 | + align-self: center; | |
| 5639 | +} | |
| 5640 | + | |
| 5641 | +#featherless_model_sort_order { | |
| 5642 | + width: auto; | |
| 5643 | + flex-shrink: 0; | |
| 5644 | + align-self: center; | |
| 5645 | +} | |
| 5646 | + | |
| 5647 | +#featherless_model_grid_toggle { | |
| 5648 | + flex-shrink: 0; | |
| 5649 | + width: auto; | |
| 5650 | + cursor: pointer; | |
| 5651 | +} | |
| 5652 | + | |
| 5653 | +#featherless_category_selection, | |
| 5654 | +#featherless_class_selection { | |
| 5655 | + display: flex; | |
| 5656 | + width: auto; | |
| 5657 | + align-self: center; | |
| 5658 | +} | |
| 5659 | + | |
| 5660 | +@media (max-width: 768px) { | |
| 5661 | + .model-card { | |
| 5662 | + flex-direction: column; | |
| 5663 | + align-items: stretch; | |
| 5664 | + } | |
| 5665 | + | |
| 5666 | + .model-info, .model-details, .model-date-added { | |
| 5667 | + width: 100%; | |
| 5668 | + text-align: left; | |
| 5669 | + } | |
| 5670 | + | |
| 5671 | + #featherless_model_search_bar { | |
| 5672 | + width: 100%; | |
| 5673 | + } | |
| 5674 | + | |
| 5675 | +} | |
| @@ -65,6 +65,7 @@ const DEFAULT_WHITELIST = true; | ||
| 65 | 65 | const DEFAULT_ACCOUNTS = false; |
| 66 | 66 | const DEFAULT_CSRF_DISABLED = false; |
| 67 | 67 | const DEFAULT_BASIC_AUTH = false; |
| 68 | +const DEFAULT_PER_USER_BASIC_AUTH = false; | |
| 68 | 69 | |
| 69 | 70 | const DEFAULT_ENABLE_IPV6 = false; |
| 70 | 71 | const DEFAULT_ENABLE_IPV4 = true; |
| @@ -184,6 +185,7 @@ const enableWhitelist = cliArguments.whitelist ?? getConfigValue('whitelistMode' | ||
| 184 | 185 | const dataRoot = cliArguments.dataRoot ?? getConfigValue('dataRoot', './data'); |
| 185 | 186 | const disableCsrf = cliArguments.disableCsrf ?? getConfigValue('disableCsrfProtection', DEFAULT_CSRF_DISABLED); |
| 186 | 187 | const basicAuthMode = cliArguments.basicAuthMode ?? getConfigValue('basicAuthMode', DEFAULT_BASIC_AUTH); |
| 188 | +const perUserBasicAuth = getConfigValue('perUserBasicAuth', DEFAULT_PER_USER_BASIC_AUTH); | |
| 187 | 189 | const enableAccounts = getConfigValue('enableUserAccounts', DEFAULT_ACCOUNTS); |
| 188 | 190 | |
| 189 | 191 | const uploadsPath = path.join(dataRoot, require('./src/constants').UPLOADS_DIRECTORY); |
| @@ -361,7 +363,7 @@ app.get('/login', async (request, response) => { | ||
| 361 | 363 | } |
| 362 | 364 | |
| 363 | 365 | try { |
| 364 | 366 | const autoLogin = await userModule.tryAutoLogin(request, basicAuthMode); |
| 365 | 367 | |
| 366 | 368 | if (autoLogin) { |
| 367 | 369 | return response.redirect('/'); |
| @@ -756,9 +758,13 @@ const postSetupTasks = async function (v6Failed, v4Failed) { | ||
| 756 | 758 | } |
| 757 | 759 | |
| 758 | 760 | if (basicAuthMode) { |
| 759 | - const basicAuthUser = getConfigValue('basicAuthUser', {}); | |
| 761 | + if (perUserBasicAuth && !enableAccounts) { | |
| 760 | - if (!basicAuthUser?.username || !basicAuthUser?.password) { | |
| 762 | + console.error(color.red('Per-user basic authentication is enabled, but user accounts are disabled. This configuration may be insecure.')); | |
| 761 | - console.warn(color.yellow('Basic Authentication is enabled, but username or password is not set or empty!')); | |
| 763 | + } else if (!perUserBasicAuth) { | |
| 764 | + const basicAuthUser = getConfigValue('basicAuthUser', {}); | |
| 765 | + if (!basicAuthUser?.username || !basicAuthUser?.password) { | |
| 766 | + console.warn(color.yellow('Basic Authentication is enabled, but username or password is not set or empty!')); | |
| 767 | + } | |
| 762 | 768 | } |
| 763 | 769 | } |
| 764 | 770 | }; |
| @@ -1,126 +0,0 @@ | ||
| 1 | -const DATA_PREFIX = 'data:'; | |
| 2 | - | |
| 3 | -/** | |
| 4 | - * Borrowed from Cohere SDK (MIT License) | |
| 5 | - * https://github.com/cohere-ai/cohere-typescript/blob/main/src/core/streaming-fetcher/Stream.ts | |
| 6 | - * Copyright (c) 2021 Cohere | |
| 7 | - */ | |
| 8 | -class CohereStream { | |
| 9 | - /** @type {ReadableStream} */ | |
| 10 | - stream; | |
| 11 | - /** @type {string} */ | |
| 12 | - prefix; | |
| 13 | - /** @type {string} */ | |
| 14 | - messageTerminator; | |
| 15 | - /** @type {string|undefined} */ | |
| 16 | - streamTerminator; | |
| 17 | - /** @type {AbortController} */ | |
| 18 | - controller = new AbortController(); | |
| 19 | - | |
| 20 | - constructor({ stream, eventShape }) { | |
| 21 | - this.stream = stream; | |
| 22 | - if (eventShape.type === 'sse') { | |
| 23 | - this.prefix = DATA_PREFIX; | |
| 24 | - this.messageTerminator = '\n'; | |
| 25 | - this.streamTerminator = eventShape.streamTerminator; | |
| 26 | - } else { | |
| 27 | - this.messageTerminator = eventShape.messageTerminator; | |
| 28 | - } | |
| 29 | - } | |
| 30 | - | |
| 31 | - async *iterMessages() { | |
| 32 | - const stream = readableStreamAsyncIterable(this.stream); | |
| 33 | - let buf = ''; | |
| 34 | - let prefixSeen = false; | |
| 35 | - let parsedAnyMessages = false; | |
| 36 | - for await (const chunk of stream) { | |
| 37 | - buf += this.decodeChunk(chunk); | |
| 38 | - | |
| 39 | - let terminatorIndex; | |
| 40 | - // Parse the chunk into as many messages as possible | |
| 41 | - while ((terminatorIndex = buf.indexOf(this.messageTerminator)) >= 0) { | |
| 42 | - // Extract the line from the buffer | |
| 43 | - let line = buf.slice(0, terminatorIndex + 1); | |
| 44 | - buf = buf.slice(terminatorIndex + 1); | |
| 45 | - | |
| 46 | - // Skip empty lines | |
| 47 | - if (line.length === 0) { | |
| 48 | - continue; | |
| 49 | - } | |
| 50 | - | |
| 51 | - // Skip the chunk until the prefix is found | |
| 52 | - if (!prefixSeen && this.prefix != null) { | |
| 53 | - const prefixIndex = line.indexOf(this.prefix); | |
| 54 | - if (prefixIndex === -1) { | |
| 55 | - continue; | |
| 56 | - } | |
| 57 | - prefixSeen = true; | |
| 58 | - line = line.slice(prefixIndex + this.prefix.length); | |
| 59 | - } | |
| 60 | - | |
| 61 | - // If the stream terminator is present, return | |
| 62 | - if (this.streamTerminator != null && line.includes(this.streamTerminator)) { | |
| 63 | - return; | |
| 64 | - } | |
| 65 | - | |
| 66 | - // Otherwise, yield message from the prefix to the terminator | |
| 67 | - const message = JSON.parse(line); | |
| 68 | - yield message; | |
| 69 | - prefixSeen = false; | |
| 70 | - parsedAnyMessages = true; | |
| 71 | - } | |
| 72 | - } | |
| 73 | - | |
| 74 | - if (!parsedAnyMessages && buf.length > 0) { | |
| 75 | - try { | |
| 76 | - yield JSON.parse(buf); | |
| 77 | - } catch (e) { | |
| 78 | - console.error('Error parsing message:', e); | |
| 79 | - } | |
| 80 | - } | |
| 81 | - } | |
| 82 | - | |
| 83 | - async *[Symbol.asyncIterator]() { | |
| 84 | - for await (const message of this.iterMessages()) { | |
| 85 | - yield message; | |
| 86 | - } | |
| 87 | - } | |
| 88 | - | |
| 89 | - decodeChunk(chunk) { | |
| 90 | - const decoder = new TextDecoder('utf8'); | |
| 91 | - return decoder.decode(chunk); | |
| 92 | - } | |
| 93 | -} | |
| 94 | - | |
| 95 | -function readableStreamAsyncIterable(stream) { | |
| 96 | - if (stream[Symbol.asyncIterator]) { | |
| 97 | - return stream; | |
| 98 | - } | |
| 99 | - | |
| 100 | - const reader = stream.getReader(); | |
| 101 | - return { | |
| 102 | - async next() { | |
| 103 | - try { | |
| 104 | - const result = await reader.read(); | |
| 105 | - if (result?.done) { | |
| 106 | - reader.releaseLock(); | |
| 107 | - } // release lock when stream becomes closed | |
| 108 | - return result; | |
| 109 | - } catch (e) { | |
| 110 | - reader.releaseLock(); // release lock when stream becomes errored | |
| 111 | - throw e; | |
| 112 | - } | |
| 113 | - }, | |
| 114 | - async return() { | |
| 115 | - const cancelPromise = reader.cancel(); | |
| 116 | - reader.releaseLock(); | |
| 117 | - await cancelPromise; | |
| 118 | - return { done: true, value: undefined }; | |
| 119 | - }, | |
| 120 | - [Symbol.asyncIterator]() { | |
| 121 | - return this; | |
| 122 | - }, | |
| 123 | - }; | |
| 124 | -} | |
| 125 | - | |
| 126 | -module.exports = CohereStream; | |
| @@ -5,7 +5,6 @@ const { jsonParser } = require('../../express-common'); | ||
| 5 | 5 | const { CHAT_COMPLETION_SOURCES, GEMINI_SAFETY, BISON_SAFETY, OPENROUTER_HEADERS } = require('../../constants'); |
| 6 | 6 | const { forwardFetchResponse, getConfigValue, tryParse, uuidv4, mergeObjectWithYaml, excludeKeysByYaml, color } = require('../../util'); |
| 7 | 7 | const { convertClaudeMessages, convertGooglePrompt, convertTextCompletionPrompt, convertCohereMessages, convertMistralMessages, convertAI21Messages, mergeMessages } = require('../../prompt-converters'); |
| 8 | -const CohereStream = require('../../cohere-stream'); | |
| 9 | 8 | |
| 10 | 9 | const { readSecret, SECRET_KEYS } = require('../secrets'); |
| 11 | 10 | const { getTokenizerModel, getSentencepiceTokenizer, getTiktokenTokenizer, sentencepieceTokenizers, TEXT_COMPLETION_MODELS } = require('../tokenizers'); |
| @@ -13,7 +12,8 @@ const { getTokenizerModel, getSentencepiceTokenizer, getTiktokenTokenizer, sente | ||
| 13 | 12 | const API_OPENAI = 'https://api.openai.com/v1'; |
| 14 | 13 | const API_CLAUDE = 'https://api.anthropic.com/v1'; |
| 15 | 14 | const API_MISTRAL = 'https://api.mistral.ai/v1'; |
| 16 | 15 | const API_COHEREAPI_COHERE_V1 = 'https://api.cohere.ai/v1'; |
| 16 | +const API_COHERE_V2 = 'https://api.cohere.ai/v2'; | |
| 17 | 17 | const API_PERPLEXITY = 'https://api.perplexity.ai'; |
| 18 | 18 | const API_GROQ = 'https://api.groq.com/openai/v1'; |
| 19 | 19 | const API_MAKERSUITE = 'https://generativelanguage.googleapis.com'; |
| @@ -553,13 +553,14 @@ async function sendCohereRequest(request, response) { | ||
| 553 | 553 | |
| 554 | 554 | try { |
| 555 | 555 | const convertedHistory = convertCohereMessages(request.body.messages, request.body.char_name, request.body.user_name); |
| 556 | - const connectors = []; | |
| 557 | 556 | const tools = []; |
| 558 | 557 | |
| 559 | - const canDoWebSearch = !String(request.body.model).includes('c4ai-aya'); | |
| 558 | + if (Array.isArray(request.body.tools) && request.body.tools.length > 0) { | |
| 560 | - if (request.body.websearch && canDoWebSearch) { | |
| 559 | + tools.push(...request.body.tools); | |
| 561 | - connectors.push({ | |
| 560 | + tools.forEach(tool => { | |
| 562 | - id: 'web-search', | |
| 561 | + if (tool?.function?.parameters?.$schema) { | |
| 562 | + delete tool.function.parameters.$schema; | |
| 563 | + } | |
| 563 | 564 | }); |
| 564 | 565 | } |
| 565 | 566 | |
| @@ -567,9 +568,7 @@ async function sendCohereRequest(request, response) { | ||
| 567 | 568 | const requestBody = { |
| 568 | 569 | stream: Boolean(request.body.stream), |
| 569 | 570 | model: request.body.model, |
| 570 | 571 | messagemessages: convertedHistory.userPromptchatHistory, |
| 571 | - preamble: convertedHistory.systemPrompt, | |
| 572 | - chat_history: convertedHistory.chatHistory, | |
| 573 | 572 | temperature: request.body.temperature, |
| 574 | 573 | max_tokens: request.body.max_tokens, |
| 575 | 574 | k: request.body.top_k, |
| @@ -578,16 +577,13 @@ async function sendCohereRequest(request, response) { | ||
| 578 | 577 | stop_sequences: request.body.stop, |
| 579 | 578 | frequency_penalty: request.body.frequency_penalty, |
| 580 | 579 | presence_penalty: request.body.presence_penalty, |
| 581 | - prompt_truncation: 'AUTO_PRESERVE_ORDER', | |
| 582 | - connectors: connectors, | |
| 583 | 580 | documents: [], |
| 584 | 581 | tools: tools, |
| 585 | - search_queries_only: false, | |
| 586 | 582 | }; |
| 587 | 583 | |
| 588 | 584 | const canDoSafetyMode = String(request.body.model).endsWith('08-2024'); |
| 589 | 585 | if (canDoSafetyMode) { |
| 590 | 586 | requestBody.safety_mode = 'NONEOFF'; |
| 591 | 587 | } |
| 592 | 588 | |
| 593 | 589 | console.log('Cohere request:', requestBody); |
| @@ -603,11 +599,11 @@ async function sendCohereRequest(request, response) { | ||
| 603 | 599 | timeout: 0, |
| 604 | 600 | }; |
| 605 | 601 | |
| 606 | 602 | const apiUrl = API_COHEREAPI_COHERE_V2 + '/chat'; |
| 607 | 603 | |
| 608 | 604 | if (request.body.stream) { |
| 609 | 605 | const stream = await global.fetch(apiUrl, config); |
| 610 | 606 | parseCohereStreamforwardFetchResponse(stream, request, response); |
| 611 | 607 | } else { |
| 612 | 608 | const generateResponse = await fetch(apiUrl, config); |
| 613 | 609 | if (!generateResponse.ok) { |
| @@ -658,7 +654,7 @@ router.post('/status', jsonParser, async function (request, response_getstatus_o | ||
| 658 | 654 | headers = {}; |
| 659 | 655 | mergeObjectWithYaml(headers, request.body.custom_include_headers); |
| 660 | 656 | } else if (request.body.chat_completion_source === CHAT_COMPLETION_SOURCES.COHERE) { |
| 661 | 657 | api_url = API_COHEREAPI_COHERE_V1; |
| 662 | 658 | api_key_openai = readSecret(request.user.directories, SECRET_KEYS.COHERE); |
| 663 | 659 | headers = {}; |
| 664 | 660 | } else if (request.body.chat_completion_source === CHAT_COMPLETION_SOURCES.ZEROONEAI) { |
| @@ -2,14 +2,19 @@ | ||
| 2 | 2 | * When applied, this middleware will ensure the request contains the required header for basic authentication and only |
| 3 | 3 | * allow access to the endpoint after successful authentication. |
| 4 | 4 | */ |
| 5 | 5 | const { getConfiggetAllUserHandles, toKey, getPasswordHash } = require('../utilusers.js'); |
| 6 | +const { getConfig, getConfigValue } = require('../util.js'); | |
| 7 | +const storage = require('node-persist'); | |
| 8 | + | |
| 9 | +const PER_USER_BASIC_AUTH = getConfigValue('perUserBasicAuth', false); | |
| 10 | +const ENABLE_ACCOUNTS = getConfigValue('enableUserAccounts', false); | |
| 6 | 11 | |
| 7 | 12 | const unauthorizedResponse = (res) => { |
| 8 | 13 | res.set('WWW-Authenticate', 'Basic realm="SillyTavern", charset="UTF-8"'); |
| 9 | 14 | return res.status(401).send('Authentication required'); |
| 10 | 15 | }; |
| 11 | 16 | |
| 12 | 17 | const basicAuthMiddleware = async function (request, response, callback) { |
| 13 | 18 | const config = getConfig(); |
| 14 | 19 | const authHeader = request.headers.authorization; |
| 15 | 20 | |
| @@ -23,15 +28,25 @@ const basicAuthMiddleware = function (request, response, callback) { | ||
| 23 | 28 | return unauthorizedResponse(response); |
| 24 | 29 | } |
| 25 | 30 | |
| 31 | + const usePerUserAuth = PER_USER_BASIC_AUTH && ENABLE_ACCOUNTS; | |
| 26 | 32 | const [username, password] = Buffer.from(credentials, 'base64') |
| 27 | 33 | .toString('utf8') |
| 28 | 34 | .split(':'); |
| 29 | 35 | |
| 30 | 36 | if (!usePerUserAuth && username === config.basicAuthUser.username && password === config.basicAuthUser.password) { |
| 31 | 37 | return callback(); |
| 32 | 38 | } else if (usePerUserAuth) { |
| 33 | - return unauthorizedResponse(response); | |
| 39 | + const userHandles = await getAllUserHandles(); | |
| 40 | + for (const userHandle of userHandles) { | |
| 41 | + if (username === userHandle) { | |
| 42 | + const user = await storage.getItem(toKey(userHandle)); | |
| 43 | + if (user && user.enabled && (user.password && user.password === getPasswordHash(password, user.salt))) { | |
| 44 | + return callback(); | |
| 45 | + } | |
| 46 | + } | |
| 47 | + } | |
| 34 | 48 | } |
| 49 | + return unauthorizedResponse(response); | |
| 35 | 50 | }; |
| 36 | 51 | |
| 37 | 52 | module.exports = basicAuthMiddleware; |
| @@ -277,38 +277,9 @@ function convertClaudeMessages(messages, prefillString, useSysPrompt, useTools, | ||
| 277 | 277 | * @param {object[]} messages Array of messages |
| 278 | 278 | * @param {string} charName Character name |
| 279 | 279 | * @param {string} userName User name |
| 280 | 280 | * @returns {{systemPrompt: string, chatHistory: object[], userPrompt: string}} Prompt for Cohere |
| 281 | 281 | */ |
| 282 | 282 | function convertCohereMessages(messages, charName = '', userName = '') { |
| 283 | - const roleMap = { | |
| 284 | - 'system': 'SYSTEM', | |
| 285 | - 'user': 'USER', | |
| 286 | - 'assistant': 'CHATBOT', | |
| 287 | - }; | |
| 288 | - let systemPrompt = ''; | |
| 289 | - | |
| 290 | - // Collect all the system messages up until the first instance of a non-system message, and then remove them from the messages array. | |
| 291 | - let i; | |
| 292 | - for (i = 0; i < messages.length; i++) { | |
| 293 | - if (messages[i].role !== 'system') { | |
| 294 | - break; | |
| 295 | - } | |
| 296 | - // Append example names if not already done by the frontend (e.g. for group chats). | |
| 297 | - if (userName && messages[i].name === 'example_user') { | |
| 298 | - if (!messages[i].content.startsWith(`${userName}: `)) { | |
| 299 | - messages[i].content = `${userName}: ${messages[i].content}`; | |
| 300 | - } | |
| 301 | - } | |
| 302 | - if (charName && messages[i].name === 'example_assistant') { | |
| 303 | - if (!messages[i].content.startsWith(`${charName}: `)) { | |
| 304 | - messages[i].content = `${charName}: ${messages[i].content}`; | |
| 305 | - } | |
| 306 | - } | |
| 307 | - systemPrompt += `${messages[i].content}\n\n`; | |
| 308 | - } | |
| 309 | - | |
| 310 | - messages.splice(0, i); | |
| 311 | - | |
| 312 | 283 | if (messages.length === 0) { |
| 313 | 284 | messages.unshift({ |
| 314 | 285 | role: 'user', |
| @@ -316,17 +287,41 @@ function convertCohereMessages(messages, charName = '', userName = '') { | ||
| 316 | 287 | }); |
| 317 | 288 | } |
| 318 | 289 | |
| 319 | - const lastNonSystemMessageIndex = messages.findLastIndex(msg => msg.role === 'user' || msg.role === 'assistant'); | |
| 290 | + messages.forEach((msg, index) => { | |
| 320 | - const userPrompt = messages.slice(lastNonSystemMessageIndex).map(msg => msg.content).join('\n\n') || PROMPT_PLACEHOLDER; | |
| 291 | + // Tool calls require an assistent primer | |
| 321 | - | |
| 292 | + if (Array.isArray(msg.tool_calls)) { | |
| 322 | - const chatHistory = messages.slice(0, lastNonSystemMessageIndex).map(msg => { | |
| 293 | + if (index > 0 && messages[index - 1].role === 'assistant') { | |
| 323 | - return { | |
| 294 | + msg.content = messages[index - 1].content; | |
| 324 | - role: roleMap[msg.role] || 'USER', | |
| 295 | + messages.splice(index - 1, 1); | |
| 325 | - message: msg.content, | |
| 296 | + } else { | |
| 326 | - }; | |
| 297 | + msg.content = `I'm going to call a tool for that: ${msg.tool_calls.map(tc => tc?.function?.name).join(', ')}`; | |
| 298 | + } | |
| 299 | + } | |
| 300 | + // No names support (who would've thought) | |
| 301 | + if (msg.name) { | |
| 302 | + if (msg.role == 'system' && msg.name == 'example_assistant') { | |
| 303 | + if (charName && !msg.content.startsWith(`${charName}: `)) { | |
| 304 | + msg.content = `${charName}: ${msg.content}`; | |
| 305 | + } | |
| 306 | + } | |
| 307 | + if (msg.role == 'system' && msg.name == 'example_user') { | |
| 308 | + if (userName && !msg.content.startsWith(`${userName}: `)) { | |
| 309 | + msg.content = `${userName}: ${msg.content}`; | |
| 310 | + } | |
| 311 | + } | |
| 312 | + if (msg.role !== 'system' && !msg.content.startsWith(`${msg.name}: `)) { | |
| 313 | + msg.content = `${msg.name}: ${msg.content}`; | |
| 314 | + } | |
| 315 | + delete msg.name; | |
| 316 | + } | |
| 327 | 317 | }); |
| 328 | 318 | |
| 329 | - return { systemPrompt: systemPrompt.trim(), chatHistory, userPrompt }; | |
| 319 | + // A prompt should end with a user/tool message | |
| 320 | + if (messages.length && !['user', 'tool'].includes(messages[messages.length - 1].role)) { | |
| 321 | + messages[messages.length - 1].role = 'user'; | |
| 322 | + } | |
| 323 | + | |
| 324 | + return { chatHistory: messages }; | |
| 330 | 325 | } |
| 331 | 326 | |
| 332 | 327 | /** |
| @@ -19,6 +19,8 @@ const { readSecret, writeSecret } = require('./endpoints/secrets'); | ||
| 19 | 19 | const KEY_PREFIX = 'user:'; |
| 20 | 20 | const AVATAR_PREFIX = 'avatar:'; |
| 21 | 21 | const ENABLE_ACCOUNTS = getConfigValue('enableUserAccounts', false); |
| 22 | +const AUTHELIA_AUTH = getConfigValue('autheliaAuth', false); | |
| 23 | +const PER_USER_BASIC_AUTH = getConfigValue('perUserBasicAuth', false); | |
| 22 | 24 | const ANON_CSRF_SECRET = crypto.randomBytes(64).toString('base64'); |
| 23 | 25 | |
| 24 | 26 | /** |
| @@ -567,14 +569,43 @@ function shouldRedirectToLogin(request) { | ||
| 567 | 569 | |
| 568 | 570 | /** |
| 569 | 571 | * Tries auto-login if there is only one user and it's not password protected. |
| 572 | + * or another configured method such authlia or basic | |
| 570 | 573 | * @param {import('express').Request} request Request object |
| 574 | + * @param {boolean} basicAuthMode If Basic auth mode is enabled | |
| 571 | 575 | * @returns {Promise<boolean>} Whether auto-login was performed |
| 572 | 576 | */ |
| 573 | 577 | async function tryAutoLogin(request, basicAuthMode) { |
| 574 | 578 | if (!ENABLE_ACCOUNTS || request.user || !request.session) { |
| 575 | 579 | return false; |
| 576 | 580 | } |
| 577 | 581 | |
| 582 | + if (!request.query.noauto) { | |
| 583 | + if (await singleUserLogin(request)) { | |
| 584 | + return true; | |
| 585 | + } | |
| 586 | + | |
| 587 | + if (AUTHELIA_AUTH && await autheliaUserLogin(request)) { | |
| 588 | + return true; | |
| 589 | + } | |
| 590 | + | |
| 591 | + if (basicAuthMode && PER_USER_BASIC_AUTH && await basicUserLogin(request)) { | |
| 592 | + return true; | |
| 593 | + } | |
| 594 | + } | |
| 595 | + | |
| 596 | + return false; | |
| 597 | +} | |
| 598 | + | |
| 599 | +/** | |
| 600 | + * Tries auto-login if there is only one user and it's not password protected. | |
| 601 | + * @param {import('express').Request} request Request object | |
| 602 | + * @returns {Promise<boolean>} Whether auto-login was performed | |
| 603 | + */ | |
| 604 | +async function singleUserLogin(request) { | |
| 605 | + if (!request.session) { | |
| 606 | + return false; | |
| 607 | + } | |
| 608 | + | |
| 578 | 609 | const userHandles = await getAllUserHandles(); |
| 579 | 610 | if (userHandles.length === 1) { |
| 580 | 611 | const user = await storage.getItem(toKey(userHandles[0])); |
| @@ -583,6 +614,75 @@ async function tryAutoLogin(request) { | ||
| 583 | 614 | return true; |
| 584 | 615 | } |
| 585 | 616 | } |
| 617 | + return false; | |
| 618 | +} | |
| 619 | + | |
| 620 | +/** | |
| 621 | + * Tries auto-login with authlia trusted headers. | |
| 622 | + * https://www.authelia.com/integration/trusted-header-sso/introduction/ | |
| 623 | + * @param {import('express').Request} request Request object | |
| 624 | + * @returns {Promise<boolean>} Whether auto-login was performed | |
| 625 | + */ | |
| 626 | +async function autheliaUserLogin(request) { | |
| 627 | + if (!request.session) { | |
| 628 | + return false; | |
| 629 | + } | |
| 630 | + | |
| 631 | + const remoteUser = request.get('Remote-User'); | |
| 632 | + if (!remoteUser) { | |
| 633 | + return false; | |
| 634 | + } | |
| 635 | + | |
| 636 | + const userHandles = await getAllUserHandles(); | |
| 637 | + for (const userHandle of userHandles) { | |
| 638 | + if (remoteUser === userHandle) { | |
| 639 | + const user = await storage.getItem(toKey(userHandle)); | |
| 640 | + if (user && user.enabled) { | |
| 641 | + request.session.handle = userHandle; | |
| 642 | + return true; | |
| 643 | + } | |
| 644 | + } | |
| 645 | + } | |
| 646 | + return false; | |
| 647 | +} | |
| 648 | + | |
| 649 | +/** | |
| 650 | + * Tries auto-login with basic auth username. | |
| 651 | + * @param {import('express').Request} request Request object | |
| 652 | + * @returns {Promise<boolean>} Whether auto-login was performed | |
| 653 | + */ | |
| 654 | +async function basicUserLogin(request) { | |
| 655 | + if (!request.session) { | |
| 656 | + return false; | |
| 657 | + } | |
| 658 | + | |
| 659 | + const authHeader = request.headers.authorization; | |
| 660 | + | |
| 661 | + if (!authHeader) { | |
| 662 | + return false; | |
| 663 | + } | |
| 664 | + | |
| 665 | + const [scheme, credentials] = authHeader.split(' '); | |
| 666 | + | |
| 667 | + if (scheme !== 'Basic' || !credentials) { | |
| 668 | + return false; | |
| 669 | + } | |
| 670 | + | |
| 671 | + const [username, password] = Buffer.from(credentials, 'base64') | |
| 672 | + .toString('utf8') | |
| 673 | + .split(':'); | |
| 674 | + | |
| 675 | + const userHandles = await getAllUserHandles(); | |
| 676 | + for (const userHandle of userHandles) { | |
| 677 | + if (username === userHandle) { | |
| 678 | + const user = await storage.getItem(toKey(userHandle)); | |
| 679 | + // Verify pass again here just to be sure | |
| 680 | + if (user && user.enabled && user.password && user.password === getPasswordHash(password, user.salt)) { | |
| 681 | + request.session.handle = userHandle; | |
| 682 | + return true; | |
| 683 | + } | |
| 684 | + } | |
| 685 | + } | |
| 586 | 686 | |
| 587 | 687 | return false; |
| 588 | 688 | } |
| @@ -17,7 +17,7 @@ async function getCohereBatchVector(texts, isQuery, directories, model) { | ||
| 17 | 17 | throw new Error('No API key found'); |
| 18 | 18 | } |
| 19 | 19 | |
| 20 | 20 | const response = await fetch('https://api.cohere.ai/v1v2/embed', { |
| 21 | 21 | method: 'POST', |
| 22 | 22 | headers: { |
| 23 | 23 | 'Content-Type': 'application/json', |
| @@ -26,6 +26,7 @@ async function getCohereBatchVector(texts, isQuery, directories, model) { | ||
| 26 | 26 | body: JSON.stringify({ |
| 27 | 27 | texts: texts, |
| 28 | 28 | model: model, |
| 29 | + embedding_types: ['float'], | |
| 29 | 30 | input_type: isQuery ? 'search_query' : 'search_document', |
| 30 | 31 | truncate: 'END', |
| 31 | 32 | }), |
| @@ -38,12 +39,12 @@ async function getCohereBatchVector(texts, isQuery, directories, model) { | ||
| 38 | 39 | } |
| 39 | 40 | |
| 40 | 41 | const data = await response.json(); |
| 41 | 42 | if (!Array.isArray(data?.embeddings?.float)) { |
| 42 | 43 | console.log('API response was not an array'); |
| 43 | 44 | throw new Error('API response was not an array'); |
| 44 | 45 | } |
| 45 | 46 | |
| 46 | 47 | return data.embeddings.float; |
| 47 | 48 | } |
| 48 | 49 | |
| 49 | 50 | /** |