52c3b83f · permissionBRICK/SillyTavern

.github/readme.md+3 -42 Viewed

 ## What do I need other than SillyTavern?
-Since SillyTavern is only an interface, you will need access to an LLM backend to provide inference. You can use AI Horde for instant out-of-the-box chatting. Aside from that, we support many other local and cloud-based LLM backends: OpenAI-compatible API, KoboldAI, Tabby, and many more. You can read more about our supported APIs in [the FAQ](https://docs.sillytavern.app/usage/api-connections/).
+Since SillyTavern is only an interface, you will need access to an LLM backend to provide inference. You can use AI Horde for instant out-of-the-box chatting. Aside from that, we support many other local and cloud-based LLM backends: OpenAI-compatible API, KoboldAI, Tabby, and many more. You can read more about our supported APIs in [the Docs](https://docs.sillytavern.app/usage/api-connections/).
 ### Do I need a powerful PC to run SillyTavern?

 SillyTavern is built around the concept of "character cards". A character card is a collection of prompts that set the behavior of the LLM and is required to have persistent conversations in SillyTavern. They function similarly to ChatGPT's GPTs or Poe's bots. The content of a character card can be anything: an abstract scenario, an assistant tailored for a specific task, a famous personality or a fictional character.
-The name field is the only required character card input. To start a neutral conversation with the language model, create a new card simply called "Assistant" and leave the rest of the boxes blank. For a more themed chat, you can provide the language model with various background details, behavior and writing patterns, and a scenario to jump start the chat.
+To have a quick conversation without selecting a character card or to just test the LLM connection, simply type your prompt input into the input bar on the Welcome Screen after opening SillyTavern. This will create an empty "Assistant" character card that you can customize later.
-To have a quick conversation without selecting a character card or to just test the LLM connection, simply type your prompt input into the input bar on the Welcome Screen after opening SillyTavern. Please note that such chats are temporary and will not be saved.
 To get a general idea on how to define character cards, see the default character (Seraphina) or download selected community-made cards from the "Download Extensions & Assets" menu.

 **Unsupported platform: android arm LEtime-web.** 32-bit Android requires an external dependency that can't be installed with npm. Use the following command to install it: `pkg install esbuild`. Then run the usual installation steps.
-## API keys management
-SillyTavern saves your API keys to a `secrets.json` file in the user data directory (`/data/default-user/secrets.json` is the default path).
-By default, API keys will not be visible from the interface after you have saved them and refreshed the page.
-In order to enable viewing your keys:
-. Set the value of `allowKeysExposure` to `true` in `config.yaml` file.
-. Restart the SillyTavern server.
-. Click the 'View hidden API keys' link at the bottom right of the API Connection Panel.
 ## Command-line arguments
 You can pass command-line arguments to SillyTavern server startup to override some settings in `config.yaml`.

 Read the detailed guide on how to set up remote connections in the [Docs](https://docs.sillytavern.app/usage/remoteconnections/).
-You may also want to configure SillyTavern user profiles with (optional) password protection: [Users](https://docs.sillytavern.app/installation/st-1.12.0-migration-guide/#users).
+You may also want to configure SillyTavern user profiles with (optional) password protection: [Users](https://docs.sillytavern.app/administration/multi-user/).
-## Performance issues?
-### General tips
-. Disable the Blur Effect and enable Reduced Motion on the User Settings panel (UI Theme toggles category).
-. If using response streaming, set the streaming FPS to a lower value (10-15 FPS is recommended).
-. Make sure the browser is enabled to use GPU acceleration for rendering.
-### Input lag
-Performance degradation, particularly input lag, is most commonly attributed to browser extensions. Known problematic extensions include:
-* iCloud Password Manager
-* DeepL Translation
-* AI-based grammar correction tools
-* Various ad-blocking extensions
-If you experience performance issues and cannot identify the cause, or suspect an issue with SillyTavern itself, please:
-. [Record a performance profile](https://developer.chrome.com/docs/devtools/performance/reference)
-. Export the profile as a JSON file
-. Submit it to the development team for analysis
-We recommend first testing with all browser extensions and third-party SillyTavern extensions disabled to isolate the source of the performance degradation.
 ## License and credits

Dockerfile+1 -1 Viewed

 ARG APP_HOME=/home/node/app
 # Install system dependencies
-RUN apk add --no-cache gcompat tini git
+RUN apk add --no-cache gcompat tini git git-lfs
 # Create app directory
 WORKDIR ${APP_HOME}

default/config.yaml+4 -0 Viewed

   # should be ideal for most use cases.
   # Any value other than a non-negative integer will be ignored and caching at depth will not be enabled.
   cachingAtDepth: -1
+  # Use 1h TTL instead of the default 5m.
+  ## 5m: base price x 1.25
+  ## 1h: base price x 2
+  extendedTTL: false
 # -- GOOGLE GEMINI API CONFIGURATION --
 gemini:
   # API endpoint version ("v1beta" or "v1alpha")

default/content/presets/openai/Default.json+1 -0 Viewed

     "custom_exclude_body": "",
     "custom_include_headers": "",
     "google_model": "gemini-pro",
+    "vertexai_model": "gemini-2.0-flash-001",
     "temperature": 1,
     "frequency_penalty": 0,
     "presence_penalty": 0,

package-lock.json+9 -7 Viewed

+{
     "name": "sillytavern",
-    "version": "1.12.14",
+    "version": "1.13.0",
     "lockfileVersion": 3,
     "requires": true,
     "packages": {
         "": {
             "name": "sillytavern",
-            "version": "1.12.14",
+            "version": "1.13.0",
             "hasInstallScript": true,
             "license": "AGPL-3.0",
             "dependencies": {

                 "@jimp/js-bmp": "^1.6.0",
                 "@jimp/js-gif": "^1.6.0",
                 "@jimp/js-tiff": "^1.6.0",
+                "@jimp/plugin-blit": "^1.6.0",
                 "@jimp/plugin-circle": "^1.6.0",
                 "@jimp/plugin-color": "^1.6.0",
                 "@jimp/plugin-contain": "^1.6.0",

                 "@jimp/plugin-flip": "^1.6.0",
                 "@jimp/plugin-mask": "^1.6.0",
                 "@jimp/plugin-quantize": "^1.6.0",
+                "@jimp/plugin-resize": "^1.6.0",
                 "@jimp/plugin-rotate": "^1.6.0",
                 "@jimp/plugin-threshold": "^1.6.0",
                 "@jimp/wasm-avif": "^1.6.0",

                 "mime-types": "^2.1.35",
                 "moment": "^2.30.1",
                 "morphdom": "^2.7.4",
-                "multer": "^1.4.5-lts.1",
+                "multer": "^2.0.0",
                 "node-fetch": "^3.3.2",
                 "node-persist": "^4.0.4",
                 "open": "^8.4.2",

             "license": "MIT"
         },
         "node_modules/multer": {
-            "version": "1.4.5-lts.1",
+            "version": "2.0.0",
-            "resolved": "https://registry.npmjs.org/multer/-/multer-1.4.5-lts.1.tgz",
+            "resolved": "https://registry.npmjs.org/multer/-/multer-2.0.0.tgz",
-            "integrity": "sha512-ywPWvcDMeH+z9gQq5qYHCCy+ethsk4goepZ45GLD63fOu0YcNecQxi64nDs3qluZB+murG3/D4dJ7+dGctcCQQ==",
+            "integrity": "sha512-bS8rPZurbAuHGAnApbM9d4h1wSoYqrOqkE+6a64KLMK9yWU7gJXBDDVklKQ3TPi9DRb85cRs6yXaC0+cjxRtRg==",
             "license": "MIT",
             "dependencies": {
                 "append-field": "^1.0.0",

                 "xtend": "^4.0.0"
             },
             "engines": {
-                "node": ">= 6.0.0"
+                "node": ">= 10.16.0"
+            }
         },
         "node_modules/multer/node_modules/mkdirp": {

package.json+4 -2 Viewed

         "@jimp/js-bmp": "^1.6.0",
         "@jimp/js-gif": "^1.6.0",
         "@jimp/js-tiff": "^1.6.0",
+        "@jimp/plugin-blit": "^1.6.0",
         "@jimp/plugin-circle": "^1.6.0",
         "@jimp/plugin-color": "^1.6.0",
         "@jimp/plugin-contain": "^1.6.0",

         "@jimp/plugin-flip": "^1.6.0",
         "@jimp/plugin-mask": "^1.6.0",
         "@jimp/plugin-quantize": "^1.6.0",
+        "@jimp/plugin-resize": "^1.6.0",
         "@jimp/plugin-rotate": "^1.6.0",
         "@jimp/plugin-threshold": "^1.6.0",
         "@jimp/wasm-avif": "^1.6.0",

         "mime-types": "^2.1.35",
         "moment": "^2.30.1",
         "morphdom": "^2.7.4",
-        "multer": "^1.4.5-lts.1",
+        "multer": "^2.0.0",
         "node-fetch": "^3.3.2",
         "node-persist": "^4.0.4",
         "open": "^8.4.2",

         "type": "git",
         "url": "https://github.com/SillyTavern/SillyTavern.git"
     },
-    "version": "1.12.14",
+    "version": "1.13.0",
     "scripts": {
         "start": "node server.js",
         "debug": "node --inspect server.js",

public/css/animations.css+5 -2 Viewed

@@ -55,11 +55,14 @@
55		55
56	/* Flashing for highlighting animation */	56	/* Flashing for highlighting animation */
57	@keyframes flash {	57	@keyframes flash {
58	0%, 50%, 100% {	58	0%,
		59	50%,
		60	100% {
59	opacity: 1;	61	opacity: 1;
60	}	62	}
61		63
62	25%, 75% {	64	25%,
		65	75% {
63	opacity: 0.2;	66	opacity: 0.2;
64	}	67	}
65	}	68	}

public/css/character-group-overlay.css+4 -2 Viewed

 #rm_print_characters_block.group_overlay_mode_select .character_select {
     transition: background-color 0.4s ease;
     background-color: rgba(170, 170, 170, 0.15);

     height: 0 !important;
+}
-#character_context_menu.hidden { display: none; }
+#character_context_menu.hidden {
+    display: none;
+}
 #character_context_menu {
     position: absolute;
     padding: 3px;

public/css/group-avatars.css+1 -1 Viewed

     max-height: 50%;
     width: 50%;
     height: 50%;
-}
 \ No newline at end of file
+}

public/css/logprobs.css+9 -5 Viewed

@@ -76,7 +76,7 @@
76	background-color: rgba(255, 0, 50, 0.4);	76	background-color: rgba(255, 0, 50, 0.4);
77	}	77	}
78		78
79	.logprobs_output_prefix:hover ~ .logprobs_output_prefix {	79	.logprobs_output_prefix:hover~.logprobs_output_prefix {
80	background-color: rgba(255, 0, 50, 0.4);	80	background-color: rgba(255, 0, 50, 0.4);
81	}	81	}
82		82

@@ -115,7 +115,8 @@
115	background-color: rgba(255, 255, 0, 0.05);	115	background-color: rgba(255, 255, 0, 0.05);
116	}	116	}
117		117
118	.logprobs_tint_0:hover, .logprobs_tint_0.selected {	118	.logprobs_tint_0:hover,
		119	.logprobs_tint_0.selected {
119	background-color: rgba(255, 255, 0, 0.4);	120	background-color: rgba(255, 255, 0, 0.4);
120	}	121	}
121		122

@@ -123,7 +124,8 @@
123	background-color: rgba(255, 0, 255, 0.05);	124	background-color: rgba(255, 0, 255, 0.05);
124	}	125	}
125		126
126	.logprobs_tint_1:hover, .logprobs_tint_1.selected {	127	.logprobs_tint_1:hover,
		128	.logprobs_tint_1.selected {
127	background-color: rgba(255, 0, 255, 0.4);	129	background-color: rgba(255, 0, 255, 0.4);
128	}	130	}
129		131

@@ -131,7 +133,8 @@
131	background-color: rgba(0, 255, 255, 0.05);	133	background-color: rgba(0, 255, 255, 0.05);
132	}	134	}
133		135
134	.logprobs_tint_2:hover, .logprobs_tint_2.selected {	136	.logprobs_tint_2:hover,
		137	.logprobs_tint_2.selected {
135	background-color: rgba(0, 255, 255, 0.4);	138	background-color: rgba(0, 255, 255, 0.4);
136	}	139	}
137		140

@@ -139,6 +142,7 @@
139	background-color: rgba(50, 205, 50, 0.05);	142	background-color: rgba(50, 205, 50, 0.05);
140	}	143	}
141		144
142	.logprobs_tint_3:hover, .logprobs_tint_3.selected {	145	.logprobs_tint_3:hover,
		146	.logprobs_tint_3.selected {
143	background-color: rgba(50, 205, 50, 0.4);	147	background-color: rgba(50, 205, 50, 0.4);
144	}	148	}

public/css/popup.css+11 -4 Viewed

+}
 /** Popup styles applied to the main popup */
-.popup--animation-fast { --popup-animation-speed: var(--animation-duration); }
+.popup--animation-fast {
-.popup--animation-slow { --popup-animation-speed: var(--animation-duration-slow); }
+    --popup-animation-speed: var(--animation-duration);
-.popup--animation-none { --popup-animation-speed: 0ms; }
+}
+.popup--animation-slow {
+    --popup-animation-speed: var(--animation-duration-slow);
+}
+.popup--animation-none {
+    --popup-animation-speed: 0ms;
+}
 /* Styling of main popup elements */
 .popup .popup-body {

@@ -190,4 +198,3 @@ body.no-blur .popup[open]::backdrop {
190	/* Fix weird animation issue with font-scaling during popup open */	198	/* Fix weird animation issue with font-scaling during popup open */
191	backface-visibility: hidden;	199	backface-visibility: hidden;
192	}	200	}
193

public/css/promptmanager.css+6 -1 Viewed

     content: attr(external_piece_text);
     display: block;
     width: 100%;
-    font-weight: 600;
+    font-weight: 500;
     text-align: center;
+}
 .completion_prompt_manager_popup_entry_form_control #completion_prompt_manager_popup_entry_form_prompt:disabled {
     visibility: hidden;
+}
+#completion_prompt_manager_popup_entry_source_block {
+    display: flex;
+    justify-content: center;
+}

public/css/scrollable-button.css+6 -3 Viewed

 .scrollable-buttons-container {
-    max-height: 50vh;  /* Use viewport height instead of fixed pixels */
+    /* Use viewport height instead of fixed pixels */
-    -webkit-overflow-scrolling: touch; /* Momentum scrolling on iOS */
+    max-height: 50vh;
-    margin-top: 1rem; /* m-t-1 is equivalent to margin-top: 1rem; */
+    /* Momentum scrolling on iOS */
+    -webkit-overflow-scrolling: touch;
+    /* m-t-1 is equivalent to margin-top: 1rem; */
+    margin-top: 1rem;
     flex-shrink: 1;
     min-height: 0;
     scrollbar-width: thin;

public/css/tags.css+1 -0 Viewed

 .tag_as_folder.right_menu_button {
     filter: brightness(75%) saturate(0.6);
+    margin-right: 5px;
+}
 .tag_as_folder.right_menu_button:hover,

public/css/toggle-dependent.css+24 -0 Viewed

     border-radius: var(--avatar-base-border-radius) !important;
+}
+body.rounded-avatars .avatar,
+body.rounded-avatars .avatar img {
+    border-radius: var(--avatar-base-border-radius-rounded) !important;
+}
 /*char list grid mode*/
 body.charListGrid #rm_print_characters_block {

@@ -226,6 +231,7 @@ body.big-avatars .avatars_inline_small .avatar img {
226	body.big-avatars .avatars_inline {	231	body.big-avatars .avatars_inline {
227	max-height: calc(var(--avatar-base-height) * var(--big-avatar-height-factor) + 2 * var(--avatar-base-border-radius));	232	max-height: calc(var(--avatar-base-height) * var(--big-avatar-height-factor) + 2 * var(--avatar-base-border-radius));
228	}	233	}
		234
229	body.big-avatars .avatars_inline.avatars_multiline {	235	body.big-avatars .avatars_inline.avatars_multiline {
230	max-height: fit-content;	236	max-height: fit-content;
231	}	237	}

@@ -233,6 +239,7 @@ body.big-avatars .avatars_inline.avatars_multiline {
233	body.big-avatars .avatars_inline.avatars_inline_small {	239	body.big-avatars .avatars_inline.avatars_inline_small {
234	height: calc(var(--avatar-base-height) * var(--big-avatar-height-factor) * var(--inline-avatar-small-factor) + 2 * var(--avatar-base-border-radius));	240	height: calc(var(--avatar-base-height) * var(--big-avatar-height-factor) * var(--inline-avatar-small-factor) + 2 * var(--avatar-base-border-radius));
235	}	241	}
		242
236	body.big-avatars .avatars_inline.avatars_inline_small.avatars_multiline {	243	body.big-avatars .avatars_inline.avatars_inline_small.avatars_multiline {
237	height: inherit;	244	height: inherit;
238	}	245	}

 body.documentstyle #chat .mes .mesAvatarWrapper,
 body.documentstyle #chat .mes .mes_block .ch_name .name_text,
 body.documentstyle #chat .mes .mes_block .ch_name .timestamp,
+body.documentstyle #chat .mes .mes_block .ch_name .timestamp-icon,
 body.documentstyle .mes:not(.last_mes) .ch_name .mes_buttons {
     display: none !important;
+}
+body.documentstyle #chat .mes_block .ch_name {
+    min-height: unset;
+}
 /*FastUI blur removal*/
 body.no-blur * {

 #banned_tokens_block_ooba:not(:has(#send_banned_tokens_textgenerationwebui:checked)) #banned_tokens_controls_ooba {
     filter: brightness(0.5);
+}
+#bind_preset_to_connection:checked~.toggleOff {
+    display: none;
+}
+#bind_preset_to_connection:not(:checked)~.toggleOn {
+    display: none;
+}
+label[for="bind_preset_to_connection"]:has(input:checked) {
+    color: var(--active);
+}

public/css/welcome.css+213 -0 Viewed

+#chat .mes[type="assistant_message"] .mes_button {
+    display: none;
+}
+.welcomePanel {
+    display: flex;
+    flex-direction: column;
+    gap: 5px;
+    padding: 10px;
+    width: 100%;
+}
+.welcomePanel:has(.showMoreChats) {
+    padding-bottom: 5px;
+}
+.welcomePanel.recentHidden .welcomeRecent,
+.welcomePanel.recentHidden .recentChatsTitle,
+.welcomePanel.recentHidden .hideRecentChats,
+.welcomePanel:not(.recentHidden) .showRecentChats {
+    display: none;
+}
+body.bubblechat .welcomePanel {
+    border-radius: 10px;
+    background-color: var(--SmartThemeBotMesBlurTintColor);
+    border: 1px solid var(--SmartThemeBorderColor);
+    margin-bottom: 5px;
+}
+body.hideChatAvatars .welcomePanel .recentChatList .recentChat .avatar {
+    display: none;
+}
+.welcomePanel .welcomeHeader {
+    display: flex;
+    flex-direction: row;
+    align-items: center;
+    justify-content: flex-end;
+}
+.welcomePanel .recentChatsTitle {
+    flex-grow: 1;
+    font-size: calc(var(--mainFontSize) * 1.15);
+    font-weight: 600;
+}
+.welcomePanel .welcomeHeaderTitle {
+    margin: 0;
+    flex-grow: 1;
+    display: flex;
+    flex-direction: row;
+    align-items: center;
+    gap: 10px;
+}
+.welcomePanel .welcomeHeaderVersionDisplay {
+    font-size: calc(var(--mainFontSize) * 1.3);
+    font-weight: 600;
+    flex-grow: 1;
+}
+.welcomePanel .welcomeHeaderLogo {
+    width: 30px;
+    height: 30px;
+}
+.welcomePanel .welcomeShortcuts {
+    display: flex;
+    flex-direction: row;
+    flex-wrap: wrap;
+    align-items: center;
+    justify-content: center;
+    gap: 5px;
+}
+.welcomePanel .welcomeShortcuts .welcomeShortcutsSeparator {
+    margin: 0 2px;
+    color: var(--SmartThemeBorderColor);
+    font-size: calc(var(--mainFontSize) * 1.1);
+}
+.welcomeRecent .recentChatList {
+    display: flex;
+    flex-direction: column;
+    width: 100%;
+    gap: 2px;
+}
+.welcomeRecent .welcomePanelLoader {
+    display: flex;
+    justify-content: center;
+    align-items: center;
+    flex: 1;
+    width: 100%;
+    height: 100%;
+    position: absolute;
+}
+.welcomePanel .recentChatList .noRecentChat {
+    display: flex;
+    flex-direction: row;
+    justify-content: center;
+    align-items: baseline;
+    gap: 5px;
+    padding: 10px;
+}
+.welcomeRecent .recentChatList .recentChat {
+    display: flex;
+    flex-direction: row;
+    align-items: center;
+    padding: 5px 10px;
+    border-radius: 10px;
+    cursor: pointer;
+    gap: 10px;
+    border: 1px solid var(--SmartThemeBorderColor);
+}
+.welcomeRecent .recentChatList .recentChat .avatar {
+    flex: 0;
+    align-self: center;
+}
+.welcomeRecent .recentChatList .recentChat:hover {
+    background-color: var(--white30a);
+}
+.welcomeRecent .recentChatList .recentChat .recentChatInfo {
+    display: flex;
+    flex-direction: column;
+    flex-wrap: nowrap;
+    flex-grow: 1;
+    overflow: hidden;
+    justify-content: center;
+    align-self: flex-start;
+}
+.welcomeRecent .recentChatList .recentChat .chatNameContainer {
+    display: flex;
+    flex-direction: row;
+    justify-content: space-between;
+    align-items: baseline;
+    font-size: calc(var(--mainFontSize) * 1);
+}
+.welcomeRecent .recentChatList .recentChat .chatNameContainer .chatName {
+    white-space: nowrap;
+    text-overflow: ellipsis;
+    overflow: hidden;
+}
+.welcomeRecent .recentChatList .recentChat .chatMessageContainer {
+    display: flex;
+    flex-direction: row;
+    align-items: center;
+    justify-content: space-between;
+    gap: 5px;
+    font-size: calc(var(--mainFontSize) * 0.85);
+}
+.welcomeRecent .recentChatList .recentChat .chatMessageContainer .chatMessage {
+    display: -webkit-box;
+    -webkit-box-orient: vertical;
+    -webkit-line-clamp: 2;
+    line-clamp: 2;
+    overflow: hidden;
+}
+body.big-avatars .welcomeRecent .recentChatList .recentChat .chatMessageContainer .chatMessage {
+    -webkit-line-clamp: 4;
+    line-clamp: 4;
+}
+.welcomeRecent .recentChatList .recentChat .chatStats {
+    display: flex;
+    flex-direction: row;
+    justify-content: flex-end;
+    align-items: baseline;
+    align-self: flex-start;
+    gap: 5px;
+}
+.welcomeRecent .recentChatList .recentChat .chatStats .counterBlock {
+    display: flex;
+    flex-direction: row;
+    align-items: baseline;
+    gap: 5px;
+}
+.welcomeRecent .recentChatList .recentChat .chatStats .counterBlock::after {
+    content: "|";
+    color: var(--SmartThemeBorderColor);
+    font-size: calc(var(--mainFontSize) * 0.95);
+}
+.welcomeRecent .recentChatList .recentChat.hidden {
+    display: none;
+}
+.welcomeRecent .recentChatList .showMoreChats {
+    align-self: center;
+}
+.welcomeRecent .recentChatList .showMoreChats.rotated {
+    transform: rotate(180deg);
+}
+@media screen and (max-width: 1000px) {
+    .welcomePanel .welcomeShortcuts a span {
+        display: none;
+    }
+}

public/img/pollinations.svg+1 -0 Viewed

@@ -0,0 +1 @@
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196.236 275.083 193.128 276.966 190.122 C 278.847 187.116 280.93 184.215 283.231 181.372 C 284.057 180.355 285.031 179.27 286.048 178.218 C 287.064 177.162 288.122 176.139 289.116 175.244 C 290.109 174.346 291.038 173.58 291.794 173.034 C 292.549 172.49 293.134 172.169 293.439 172.169 C 293.53 172.169 293.633 172.257 293.74 172.41 C 293.849 172.568 293.962 172.795 294.074 173.075 C 294.185 173.355 294.296 173.687 294.397 174.058 C 294.5 174.427 294.593 174.834 294.672 175.255 M 214.395 177.903 C 216.932 180.555 219.226 183.303 221.306 186.208 C 223.386 189.113 225.254 192.18 226.941 195.469 C 228.628 198.754 230.134 202.263 231.491 206.056 C 232.848 209.852 234.059 213.927 235.152 218.351 C 235.497 219.75 235.762 220.875 235.967 222.052 C 236.173 223.23 236.32 224.462 236.431 226.076 C 236.542 227.689 236.617 229.684 236.678 232.391 C 236.739 235.098 236.787 238.515 236.843 242.97 C 236.897 247.165 236.932 250.429 236.945 252.96 C 236.956 255.491 236.943 257.287 236.9 258.545 C 236.857 259.805 236.783 260.525 236.67 260.902 C 236.559 261.279 236.409 261.312 236.215 261.199 C 235.931 261.033 235.183 260.258 234.159 259.102 C 233.133 257.946 231.83 256.409 230.435 254.715 C 229.04 253.02 227.55 251.167 226.157 249.385 C 224.763 247.601 223.46 245.887 222.435 244.464 C 221.492 243.154 220.43 241.461 219.336 239.557 C 218.241 237.652 217.115 235.538 216.04 233.384 C 214.966 231.23 213.945 229.037 213.062 226.975 C 212.18 224.913 211.436 222.985 210.915 221.36 C 210.715 220.733 210.491 219.974 210.254 219.14 C 210.019 218.305 209.774 217.396 209.534 216.468 C 209.293 215.536 209.057 214.589 208.838 213.677 C 208.62 212.764 208.422 211.887 208.257 211.105 C 207.734 208.612 207.373 204.972 207.161 200.908 C 206.951 196.847 206.892 192.364 206.97 188.194 C 207.047 184.025 207.261 180.165 207.598 177.346 C 207.937 174.531 208.397 172.757 208.967 172.757 C 209.037 172.757 209.24 172.9 209.55 173.163 C 209.861 173.425 210.276 173.8 210.768 174.267 C 211.26 174.734 211.827 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286.486 L 270.359 286.155 C 270.515 285.585 271.039 284.472 271.797 283.034 C 272.555 281.597 273.55 279.834 274.654 277.964 C 275.759 276.092 276.971 274.114 278.164 272.243 C 279.357 270.373 280.53 268.61 281.557 267.176 C 286.49 260.272 291.976 254.005 297.894 248.447 C 303.812 242.89 310.161 238.045 316.821 233.98 C 323.478 229.92 330.443 226.642 337.598 224.224 C 344.751 221.805 352.094 220.246 359.505 219.621 C 359.812 219.595 360.119 219.566 360.408 219.538 C 360.702 219.512 360.977 219.484 361.223 219.458 C 361.467 219.431 361.682 219.408 361.848 219.385 C 362.019 219.365 362.146 219.345 362.209 219.333 C 362.27 219.318 362.323 219.401 362.356 219.562 C 362.393 219.721 362.413 219.958 362.42 220.256 C 362.429 220.554 362.42 220.912 362.398 221.311 C 362.377 221.709 362.343 222.151 362.287 222.616 M 127.615 226.441 C 128.292 230.02 129.18 233.67 130.242 237.294 C 131.303 240.92 132.536 244.52 133.907 247.993 C 135.276 251.468 136.779 254.816 138.38 257.942 C 139.98 261.066 141.674 263.97 143.424 266.55 C 144.672 268.387 146.181 270.359 147.856 272.368 C 149.529 274.375 151.367 276.418 153.273 278.395 C 155.18 280.373 157.152 282.285 159.098 284.03 C 161.042 285.778 162.959 287.36 164.749 288.675 C 165.572 289.278 166.345 289.86 167.036 290.395 C 167.727 290.928 168.34 291.415 168.84 291.828 C 169.34 292.244 169.73 292.585 169.977 292.83 C 170.226 293.076 170.333 293.222 170.27 293.245 C 170.079 293.318 169.361 293.128 168.296 292.752 C 167.229 292.375 165.819 291.812 164.242 291.142 C 162.667 290.473 160.928 289.694 159.204 288.884 C 157.485 288.076 155.783 287.236 154.28 286.444 C 148.912 283.61 143.725 280.241 138.787 276.403 C 133.85 272.565 129.161 268.258 124.779 263.552 C 120.398 258.843 116.327 253.735 112.627 248.29 C 108.926 242.846 105.598 237.068 102.705 231.024 C 102.347 230.274 102.01 229.555 101.708 228.897 C 101.405 228.236 101.138 227.636 100.919 227.125 C 100.7 226.615 100.527 226.195 100.416 225.896 C 100.305 225.595 100.254 225.419 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266.157 219.896 268.474 C 221.483 270.789 223.022 273.167 224.404 275.429 C 225.787 277.689 227.013 279.833 227.971 281.68 C 228.931 283.527 229.625 285.078 229.943 286.155 L 230.04 286.486 L 230.138 286.818 L 230.234 287.147 L 230.332 287.479 L 226.503 287.477 L 222.673 287.477 L 218.844 287.476 L 215.015 287.475 C 209.688 287.474 205.347 287.414 201.67 287.244 C 197.995 287.073 194.981 286.791 192.311 286.34 C 189.64 285.89 187.313 285.277 185.006 284.44 C 182.7 283.607 180.415 282.551 177.83 281.222 C 174.857 279.694 171.933 277.808 169.117 275.629 C 166.299 273.452 163.592 270.984 161.055 268.292 C 158.521 265.6 156.16 262.686 154.036 259.619 C 151.913 256.549 150.026 253.325 148.439 250.014 C 147.262 247.55 146.142 244.939 145.129 242.32 C 144.116 239.702 143.208 237.077 142.447 234.583 C 141.685 232.09 141.071 229.729 140.647 227.639 C 140.221 225.549 139.987 223.73 139.984 222.322 C 139.984 221.708 139.984 221.246 140.018 220.897 C 140.049 220.548 140.113 220.311 140.234 220.152 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290.338 C 337.05 290.892 335.883 291.352 335 291.658 C 334.116 291.965 333.516 292.119 333.34 292.056 C 333.27 292.032 333.351 291.899 333.557 291.677 C 333.766 291.455 334.099 291.147 334.531 290.774 C 334.964 290.402 335.5 289.964 336.102 289.485 C 336.708 289.004 337.386 288.483 338.112 287.941 C 341.136 285.688 343.974 283.293 346.63 280.752 C 349.291 278.211 351.77 275.522 354.078 272.675 C 356.388 269.829 358.521 266.827 360.496 263.659 C 362.468 260.491 364.28 257.157 365.927 253.651 C 367.035 251.305 368.003 249.097 368.864 246.948 C 369.735 244.801 370.491 242.715 371.167 240.614 C 371.845 238.512 372.436 236.399 372.969 234.196 C 373.503 231.992 373.983 229.7 374.42 227.243 L 374.728 225.536 L 375.036 223.826 L 375.34 222.118 L 375.649 220.411 L 376.434 220.411 L 377.215 220.411 L 378.007 220.411 L 378.79 220.412 C 379.221 220.412 379.759 220.435 380.363 220.477 C 380.966 220.519 381.638 220.582 382.324 220.657 C 383.019 220.733 383.73 220.823 384.425 220.923 C 385.125 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164.433 382.032 165.476 382.487 166.406 383.113 M 345.257 382.546 C 345.746 382.799 346.29 383.216 346.852 383.725 C 347.405 384.236 347.969 384.833 348.486 385.466 C 349.005 386.089 349.475 386.74 349.844 387.357 C 350.214 387.97 350.484 388.541 350.592 389.004 C 350.641 389.209 350.681 389.489 350.711 389.834 C 350.741 390.167 350.758 390.564 350.768 390.987 C 350.78 391.407 350.775 391.861 350.764 392.314 C 350.753 392.762 350.73 393.223 350.694 393.657 C 350.519 395.874 349.727 397.797 348.544 399.335 C 347.358 400.876 345.774 402.039 344.023 402.733 C 342.273 403.416 340.349 403.642 338.478 403.309 C 336.608 402.974 334.783 402.084 333.238 400.552 C 332.63 399.949 332.127 399.371 331.714 398.778 C 331.303 398.185 330.981 397.582 330.739 396.925 C 330.496 396.269 330.327 395.558 330.219 394.757 C 330.11 393.949 330.063 393.055 330.063 392.027 C 330.063 391.002 330.137 390.074 330.287 389.23 C 330.437 388.384 330.669 387.62 330.99 386.92 C 331.313 386.21 331.724 385.565 332.24 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391.897 240.457 390.794 C 240.607 389.696 240.924 388.62 241.412 387.617 C 241.927 386.563 242.454 385.689 243.041 384.979 C 243.624 384.273 244.264 383.725 245.007 383.317 C 245.748 382.912 246.591 382.65 247.577 382.499 C 248.565 382.347 249.696 382.312 251.015 382.365 C 251.715 382.396 252.322 382.44 252.859 382.506 C 253.397 382.575 253.866 382.662 254.293 382.784 C 254.72 382.906 255.104 383.052 255.472 383.239 C 255.839 383.435 256.189 383.652 256.549 383.921" fill-rule="evenodd" id="object-1" transform="matrix(1, 0, 0, 1, 1.4210854715202004e-14, 0)" style="stroke-opacity: 0;"></path></svg>
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public/index.html+172 -51 Viewed

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         /* Put critical CSS here. The rest should go in stylesheets. */
         body {

                                         </strong>
                                         <div class="flex-container gap3px">
+                                            <label for="bind_preset_to_connection" class="margin0 menu_button menu_button_icon" title="Bind presets to API connections" data-i18n="[title]Bind presets to API connections">
+                                                <input id="bind_preset_to_connection" type="checkbox" class="displayNone" />
+                                                <i class="fa-fw fa-solid fa-link toggleOn"></i>
+                                                <i class="fa-fw fa-solid fa-link-slash toggleOff"></i>
+                                            </label>
                                             <div id="import_oai_preset" class="margin0 menu_button menu_button_icon" title="Import preset" data-i18n="[title]Import preset">
                                                 <i class="fa-fw fa-solid fa-file-import"></i>
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                                         </span>
                                     </div>
                                 </div>
-                                <div class="range-block" data-source="openai,claude,windowai,openrouter,ai21,scale,makersuite,mistralai,custom,cohere,perplexity,groq,01ai,nanogpt,deepseek,xai">
+                                <div class="range-block" data-source="openai,claude,windowai,openrouter,ai21,scale,makersuite,vertexai,mistralai,custom,cohere,perplexity,groq,01ai,nanogpt,deepseek,xai">
                                     <div class="range-block-title" data-i18n="Temperature">
                                         Temperature
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                                         </div>
                                     </div>
                                 </div>
-                                <div class="range-block" data-source="claude,openrouter,makersuite,cohere,perplexity">
+                                <div class="range-block" data-source="claude,openrouter,makersuite,vertexai,cohere,perplexity">
                                     <div class="range-block-title" data-i18n="Top K">
                                         Top K
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-                                <div class="range-block" data-source="openai,claude,openrouter,ai21,scale,makersuite,mistralai,custom,cohere,perplexity,groq,01ai,nanogpt,deepseek,xai">
+                                <div class="range-block" data-source="openai,claude,openrouter,ai21,scale,makersuite,vertexai,mistralai,custom,cohere,perplexity,groq,01ai,nanogpt,deepseek,xai">
                                     <div class="range-block-title" data-i18n="Top P">
                                         Top P
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                                         </div>
                                     </div>
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-                                <div class="range-block" data-source="openai,openrouter,mistralai,custom,cohere,groq,nanogpt,xai">
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                                         Seed
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-                                    <div data-tg-type-mode="except" data-tg-type="generic" class="alignitemscenter flex-container flexFlowColumn flexBasis30p flexGrow flexShrink gap0">
+                                    <div data-tg-type-mode="except" data-tg-type="generic,llamacpp" class="alignitemscenter flex-container flexFlowColumn flexBasis30p flexGrow flexShrink gap0">
                                         <small>
                                             <span data-i18n="Top A">Top A</span>
                                             <div class="fa-solid fa-circle-info opacity50p" title="Top A sets a threshold for token selection based on the square of the highest token probability.&#13;E.g if the Top-A value is 0.2 and the top token's probability is 50%, tokens with probabilities below 5% (0.2 * 0.5^2) are excluded.&#13;Set to 0 to disable." data-i18n="[title]Top_A_desc"></div>

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                                         <input class="neo-range-input" type="number" min="0" max="1" step="0.01" data-for="top_a_textgenerationwebui" id="top_a_counter_textgenerationwebui">
                                     </div>
-                                    <div data-tg-type-mode="except" data-tg-type="generic" class="alignitemscenter flex-container flexFlowColumn flexBasis30p flexGrow flexShrink gap0">
+                                    <div data-tg-type-mode="except" data-tg-type="generic,llamacpp" class="alignitemscenter flex-container flexFlowColumn flexBasis30p flexGrow flexShrink gap0">
                                         <small>
                                             <span data-i18n="TFS">TFS</span>
                                             <div class="fa-solid fa-circle-info opacity50p" data-i18n="[title]Tail_Free_Sampling_desc" title="Tail-Free Sampling (TFS) searches for a tail of low-probability tokens in the distribution,&#13;by analyzing the rate of change in token probabilities using derivatives. It retains tokens up to a threshold (e.g., 0.3) based on the normalized second derivative.&#13;The closer to 0, the more discarded tokens. Set to 1.0 to disable."></div>

                                         <input class="neo-range-slider" type="range" id="epsilon_cutoff_textgenerationwebui" name="volume" min="0" max="9" step="0.01">
                                         <input class="neo-range-input" type="number" min="0" max="9" step="0.01" data-for="epsilon_cutoff_textgenerationwebui" id="epsilon_cutoff_counter_textgenerationwebui">
                                     </div>
-                                    <div data-tg-type="aphrodite,koboldcpp" class="alignitemscenter flex-container flexFlowColumn flexBasis30p flexGrow flexShrink gap0">
+                                    <div data-tg-type="aphrodite,koboldcpp,llamacpp" class="alignitemscenter flex-container flexFlowColumn flexBasis30p flexGrow flexShrink gap0">
                                         <small>
                                             <span data-i18n="Top nsigma">Top nsigma</span>
                                             <div class="fa-solid fa-circle-info opacity50p" title="A sampling method that filters logits based on their statistical properties. It keeps tokens within n standard deviations of the maximum logit value, providing a simpler alternative to top-p/top-k sampling while maintaining sampling stability across different temperatures."></div>

                                         <input class="neo-range-slider" type="range" id="nsigma_textgenerationwebui" name="volume" min="0" max="5" step="0.01">
                                         <input class="neo-range-input" type="number" min="0" max="5" step="0.01" data-for="nsigma_textgenerationwebui" id="nsigma_counter_textgenerationwebui">
                                     </div>
+                                    <div data-tg-type="llamacpp" class="alignitemscenter flex-container flexFlowColumn flexBasis30p flexGrow flexShrink gap0">
+                                        <small>
+                                            <span data-i18n="Min Keep">Min Keep</span>
+                                            <div class="fa-solid fa-circle-info opacity50p" title="A sampling modifier that ensures that truncation samplers such as top-p, min-p, typical-p, and xtc return at least this many tokens. Set to 0 to disable."></div>
+                                        </small>
+                                        <input class="neo-range-slider" type="range" id="min_keep_textgenerationwebui" name="volume" min="0" max="50" step="1">
+                                        <input class="neo-range-input" type="number" min="0" max="50" step="1" data-for="min_keep_textgenerationwebui" id="min_keep_counter_textgenerationwebui">
+                                    </div>
                                     <div data-tg-type="ooba,mancer,aphrodite" class="alignitemscenter flex-container flexFlowColumn flexBasis30p flexGrow flexShrink gap0">
                                         <small>
                                             <span data-i18n="Eta Cutoff">Eta Cutoff</span>

                                         </div>
                                     </div>
-                                    <div data-tg-type="koboldcpp, aphrodite, tabby, ooba, llamacpp" id="xtc_block" class="wide100p">
+                                    <div data-tg-type="koboldcpp, aphrodite, mancer, tabby, ooba, llamacpp" id="xtc_block" class="wide100p">
                                         <h4 class="wide100p textAlignCenter">
                                             <label data-i18n="Exclude Top Choices (XTC)">Exclude Top Choices (XTC)</label>
                                             <a href="https://github.com/oobabooga/text-generation-webui/pull/6335" target="_blank">

                                         </div>
                                     </div>
-                                    <div data-tg-type="aphrodite, ooba, koboldcpp, tabby, llamacpp, dreamgen" id="dryBlock" class="wide100p">
+                                    <div data-tg-type="aphrodite, mancer, ooba, koboldcpp, tabby, llamacpp, dreamgen" id="dryBlock" class="wide100p">
                                         <h4 class="wide100p textAlignCenter" title="DRY penalizes tokens that would extend the end of the input into a sequence that has previously occurred in the input. Set multiplier to 0 to disable." data-i18n="[title]DRY_Repetition_Penalty_desc">
                                             <label data-i18n="DRY Repetition Penalty">DRY Repetition Penalty</label>
                                             <a href="https://github.com/oobabooga/text-generation-webui/pull/5677" target="_blank">

                                             </div>
                                         </div>
                                     </div>
-                                    <div data-tg-type="ooba,infermaticai,koboldcpp,llamacpp,mancer,ollama,tabby" id="mirostat_block_ooba" class="wide100p">
+                                    <div data-tg-type="ooba,infermaticai,koboldcpp,llamacpp,ollama,tabby" id="mirostat_block_ooba" class="wide100p">
                                         <h4 class="wide100p textAlignCenter">
                                             <label data-i18n="Mirostat (mode=1 is only for llama.cpp)">Mirostat</label>
                                             <div class=" fa-solid fa-circle-info opacity50p " data-i18n="[title]Mirostat_desc" title="Mirostat is a thermostat for output perplexity.&#13;Mirostat matches the output perplexity to that of the input, thus avoiding the repetition trap&#13;(where, as the autoregressive inference produces text, the perplexity of the output tends toward zero)&#13;and the confusion trap (where the perplexity diverges).&#13;For details, see the paper Mirostat: A Neural Text Decoding Algorithm that Directly Controls Perplexity by Basu et al. (2020).&#13;Mode chooses the Mirostat version. 0=disable, 1=Mirostat 1.0 (llama.cpp only), 2=Mirostat 2.0."></div>

                                             <div data-name="temperature" draggable="true"><span>Temperature</span><small></small></div>
                                             <div data-name="top_k" draggable="true"><span>Top K</span><small></small></div>
                                             <div data-name="top_p" draggable="true"><span>Top P</span><small></small></div>
-                                            <div data-name="typical_p" draggable="true"><span>Typical P</span><small></small></div>
+                                            <div data-name="typ_p" draggable="true"><span>Typical P</span><small></small></div>
-                                            <div data-name="tfs_z" draggable="true"><span>Tail Free Sampling</span><small></small></div>
                                             <div data-name="min_p" draggable="true"><span>Min P</span><small></small></div>
                                             <div data-name="xtc" draggable="true"><span>Exclude Top Choices</span><small></small></div>
                                             <div data-name="dry" draggable="true"><span>DRY</span><small></small></div>
+                                            <div data-name="penalties" draggable="true"><span>Rep/Freq/Pres Penalties</span><small></small></div>
+                                            <div data-name="top_n_sigma" draggable="true"><span>Top N-Sigma</span><small></small></div>
                                         </div>
                                         <div id="llamacpp_samplers_default_order" class="menu_button menu_button_icon">
                                             <span data-i18n="Load default order">Load default order</span>

                                             </span>
                                         </div>
                                     </div>
-                                    <div class="range-block" data-source="makersuite,openrouter">
+                                    <div class="range-block" data-source="makersuite,vertexai,openrouter,claude">
                                         <label for="openai_enable_web_search" class="checkbox_label flexWrap widthFreeExpand">
                                             <input id="openai_enable_web_search" type="checkbox" />
                                             <span data-i18n="Enable web search">Enable web search</span>

                                             </b>
                                         </div>
                                     </div>
-                                    <div class="range-block" data-source="openai,cohere,mistralai,custom,claude,openrouter,groq,deepseek,makersuite,ai21,xai">
+                                    <div class="range-block" data-source="openai,cohere,mistralai,custom,claude,openrouter,groq,deepseek,makersuite,vertexai,ai21,xai,pollinations">
                                         <label for="openai_function_calling" class="checkbox_label flexWrap widthFreeExpand">
                                             <input id="openai_function_calling" type="checkbox" />
                                             <span data-i18n="Enable function calling">Enable function calling</span>

                                         <div class="flexBasis100p toggle-description justifyLeft">
                                             <span data-i18n="enable_functions_desc_1">Allows using </span><a href="https://platform.openai.com/docs/guides/function-calling" target="_blank" data-i18n="enable_functions_desc_2">function tools</a>.
                                             <span data-i18n="enable_functions_desc_3">Can be utilized by various extensions to provide additional functionality.</span>
+                                            <strong data-i18n="enable_functions_desc_4">Not supported when Prompt Post-Processing is used!</strong>
                                         </div>
                                     </div>
-                                    <div class="range-block" data-source="openai,openrouter,mistralai,makersuite,claude,custom,01ai,xai">
+                                    <div class="range-block" data-source="openai,openrouter,mistralai,makersuite,vertexai,claude,custom,01ai,xai,pollinations">
                                         <label for="openai_image_inlining" class="checkbox_label flexWrap widthFreeExpand">
                                             <input id="openai_image_inlining" type="checkbox" />
                                             <span data-i18n="Send inline images">Send inline images</span>
                                         </label>
                                         <div id="image_inlining_hint" class="flexBasis100p toggle-description justifyLeft">
-                                            <span data-i18n="image_inlining_hint_1">Sends images in prompts if the model supports it (e.g. GPT-4V, Claude 3 or Llava 13B). Use the</span>
+                                            <span data-i18n="image_inlining_hint_1">Sends images in prompts if the model supports it. Use the</span>
                                             <code><i class="fa-solid fa-paperclip"></i></code>
                                             <span data-i18n="image_inlining_hint_2">action on any message or the</span>
                                             <code><i class="fa-solid fa-wand-magic-sparkles"></i></code>
                                             <span data-i18n="image_inlining_hint_3">menu to attach an image file to the chat.</span>
                                         </div>
-                                        <div class="flex-container flexFlowColumn wide100p textAlignCenter marginTop10" data-source="openai,custom,xai">
+                                        <div class="flex-container flexFlowColumn wide100p textAlignCenter marginTop10" data-source="openai,custom,xai,pollinations">
                                             <div class="flex-container oneline-dropdown">
                                                 <label for="openai_inline_image_quality" data-i18n="Inline Image Quality">
                                                     Inline Image Quality

                                             </div>
                                         </div>
                                     </div>
-                                    <div class="range-block" data-source="makersuite">
+                                    <div class="range-block" data-source="makersuite,vertexai">
                                         <label for="openai_request_images" class="checkbox_label widthFreeExpand">
                                             <input id="openai_request_images" type="checkbox" />
                                             <span>

                                             <span data-i18n="Allows the model to return image attachments.">
                                                 Allows the model to return image attachments.
                                             </span>
-                                            <em data-source="makersuite" data-i18n="Request inline images_desc_2">
+                                            <em data-source="makersuite,vertexai" data-i18n="Request inline images_desc_2">
                                                 Incompatible with the following features: function calling, web search, system prompt.
                                             </em>
                                         </div>
                                     </div>
-                                    <div class="range-block" data-source="makersuite">
+                                    <div class="range-block" data-source="makersuite,vertexai">
                                         <label for="use_makersuite_sysprompt" class="checkbox_label widthFreeExpand">
                                             <input id="use_makersuite_sysprompt" type="checkbox" />
                                             <span>

                                             </span>
                                         </div>
                                     </div>
-                                    <div class="range-block" data-source="deepseek,openrouter,custom,claude,xai">
+                                    <div class="range-block" data-source="deepseek,openrouter,custom,claude,xai,makersuite">
                                         <label for="openai_show_thoughts" class="checkbox_label widthFreeExpand">
                                             <input id="openai_show_thoughts" type="checkbox" />
-                                            <span>
+                                            <span data-i18n="Request model reasoning">Request model reasoning</span>
-                                                <span data-i18n="Request model reasoning">Request model reasoning</span>
-                                                <i class="opacity50p fa-solid fa-circle-info" title="DeepSeek Reasoner"></i>
-                                            </span>
                                         </label>
                                         <div class="toggle-description justifyLeft marginBot5">
                                             <span data-i18n="Allows the model to return its thinking process.">
                                                 Allows the model to return its thinking process.
                                             </span>
+                                            <span data-i18n="This setting affects visibility only.">
+                                                This setting affects visibility only.
+                                            </span>
                                         </div>
                                     </div>
-                                    <div class="flex-container flexFlowColumn wide100p textAlignCenter marginTop10" data-source="openai,custom,claude,xai,makersuite,openrouter">
+                                    <div class="flex-container flexFlowColumn wide100p textAlignCenter marginTop10" data-source="openai,custom,claude,xai,makersuite,vertexai,openrouter,pollinations">
                                         <div class="flex-container oneline-dropdown" title="Constrains effort on reasoning for reasoning models.&#10;Reducing reasoning effort can result in faster responses and fewer tokens used on reasoning in a response." data-i18n="[title]Constrains effort on reasoning for reasoning models.">
                                             <label for="openai_reasoning_effort">
                                                 <span data-i18n="Reasoning Effort">Reasoning Effort</span>
-                                                <i data-source="openai,custom,xai,openrouter" class="opacity50p fa-solid fa-circle-info" title="OpenAI-style options: low, medium, high. Minimum and maximum are aliased to low and high. Auto does not send an effort level." data-i18n="[title]OpenAI-style options: low, medium, high. Minimum and maximum are aliased to low and high. Auto does not send an effort level."></i>
+                                                <a href="https://docs.sillytavern.app/usage/prompts/reasoning/#reasoning-effort" target="_blank" class="opacity50p fa-solid fa-circle-question"></a>
-                                                <i data-source="claude,makersuite" class="opacity50p fa-solid fa-circle-info" title="Allocates a portion of the response length for thinking (low: 10%, medium: 25%, high: 50%). Other options are model-dependent." data-i18n="[title]Allocates a portion of the response length for thinking (low: 10%, medium: 25%, high: 50%). Other options are model-dependent."></i>
                                             </label>
                                             <select id="openai_reasoning_effort">
                                                 <option data-i18n="openai_reasoning_effort_auto" value="auto">Auto</option>

                                                 <option data-i18n="openai_reasoning_effort_high" value="high">High</option>
                                                 <option data-i18n="openai_reasoning_effort_maximum" value="max">Maximum</option>
                                             </select>
+                                            <div class="toggle-description justifyLeft marginBot5" data-source="openai,custom,xai,openrouter" data-i18n="OpenAI-style options: low, medium, high. Minimum and maximum are aliased to low and high. Auto does not send an effort level.">
+                                                OpenAI-style options: low, medium, high. Minimum and maximum are aliased to low and high. Auto does not send an effort level.
+                                            </div>
+                                            <div class="toggle-description justifyLeft marginBot5" data-source="claude" data-i18n="Allocates a portion of the response length for thinking (min: 1024 tokens, low: 10%, medium: 25%, high: 50%, max: 95%), but minimum 1024 tokens. Auto does not request thinking.">
+                                                Allocates a portion of the response length for thinking (min: 1024 tokens, low: 10%, medium: 25%, high: 50%, max: 95%), but minimum 1024 tokens. Auto does not request thinking.
+                                            </div>
+                                            <div class="toggle-description justifyLeft marginBot5" data-source="makersuite,vertexai" data-i18n="Allocates a portion of the response length for thinking (min: 0 tokens, low: 10%, medium: 25%, high: 50%, max: 24576 tokens). Auto lets the model decide.">
+                                                Allocates a portion of the response length for thinking (min: 0 tokens, low: 10%, medium: 25%, high: 50%, max: 24576 tokens). Auto lets the model decide.
+                                            </div>
                                         </div>
                                     </div>
                                     <div class="range-block" data-source="claude">

                                         </div>
                                         <label for="claude_use_sysprompt" class="checkbox_label widthFreeExpand">
                                             <input id="claude_use_sysprompt" type="checkbox" />
-                                            <span data-i18n="Use system prompt (Claude 2.1+ only)">
+                                            <span data-i18n="Use system prompt">Use system prompt</span>
-                                                Use system prompt (Claude 2.1+ only)
-                                            </span>
                                         </label>
                                         <div class="toggle-description justifyLeft marginBot5">
                                             <span data-i18n="Send the system prompt for supported models. If disabled, the user message is added to the beginning of the prompt.">

                                 <option value="deepseek">DeepSeek</option>
                                 <option value="groq">Groq</option>
                                 <option value="makersuite">Google AI Studio</option>
+                                <option value="vertexai">Google Vertex AI (Express mode)</option>
                                 <option value="mistralai">MistralAI</option>
                                 <option value="nanogpt">NanoGPT</option>
                                 <option value="openrouter">OpenRouter</option>
                                 <option value="perplexity">Perplexity</option>
+                                <option value="pollinations">Pollinations</option>
                                 <option value="scale">Scale</option>
                                 <option value="windowai">Window AI</option>
                                 <option value="xai">xAI (Grok)</option>
                             </optgroup>
                         </select>
-                        <div class="inline-drawer wide100p" data-source="openai,claude,mistralai,makersuite,deepseek,xai">
+                        <div class="inline-drawer wide100p" data-source="openai,claude,mistralai,makersuite,vertexai,deepseek,xai">
                             <div class="inline-drawer-toggle inline-drawer-header">
                                 <b data-i18n="Reverse Proxy">Reverse Proxy</b>
                                 <div class="fa-solid fa-circle-chevron-down inline-drawer-icon down"></div>

                                     <input id="openai_reverse_proxy" type="text" class="text_pole" placeholder="https://api.openai.com/v1" />
                                     <small class="reverse_proxy_warning">
                                         <span data-i18n="Doesn't work? Try adding">Doesn't work? Try adding</span> <code>/v1</code> <span data-i18n="at the end!">at the end!</span>
+                                        <code>/chat/completions</code> <b data-i18n="suffix will be added automatically.">suffix will be added automatically.</b>
                                     </small>
                                 </div>
                                 <div class="range-block-title justifyLeft" data-i18n="Proxy Password">

                                 </div>
                             </div>
                         </div>
-                        <div id="ReverseProxyWarningMessage" data-source="openai,claude,mistralai,makersuite,deepseek,xai">
+                        <div id="ReverseProxyWarningMessage" data-source="openai,claude,mistralai,makersuite,vertexai,deepseek,xai">
                             <div class="reverse_proxy_warning">
                                 <b>
                                     <div data-i18n="Using a proxy that you're not running yourself is a risk to your data privacy.">

                                 <h4 data-i18n="Claude Model">Claude Model</h4>
                                 <select id="model_claude_select">
                                     <optgroup label="Versions">
+                                        <option value="claude-opus-4-0">claude-opus-4-0</option>
+                                        <option value="claude-opus-4-20250514">claude-opus-4-20250514</option>
+                                        <option value="claude-sonnet-4-0">claude-sonnet-4-0</option>
+                                        <option value="claude-sonnet-4-20250514">claude-sonnet-4-20250514</option>
                                         <option value="claude-3-7-sonnet-latest">claude-3-7-sonnet-latest</option>
                                         <option value="claude-3-7-sonnet-20250219">claude-3-7-sonnet-20250219</option>
                                         <option value="claude-3-5-sonnet-latest">claude-3-5-sonnet-latest</option>

                                 <h4 data-i18n="Google Model">Google Model</h4>
                                 <select id="model_google_select">
                                     <optgroup label="Gemini 2.5">
+                                        <option value="gemini-2.5-pro-preview-05-06">gemini-2.5-pro-preview-05-06</option>
                                         <option value="gemini-2.5-pro-preview-03-25">gemini-2.5-pro-preview-03-25</option>
                                         <option value="gemini-2.5-pro-exp-03-25">gemini-2.5-pro-exp-03-25</option>
+                                        <option value="gemini-2.5-flash-preview-05-20">gemini-2.5-flash-preview-05-20</option>
                                         <option value="gemini-2.5-flash-preview-04-17">gemini-2.5-flash-preview-04-17</option>
                                     </optgroup>
                                     <optgroup label="Gemini 2.0">

                                 </select>
                             </div>
                         </form>
+                        <div id="vertexai_form" data-source="vertexai">
+                            <h4>
+                                <span data-i18n="Google Vertex AI API Key">
+                                    Google Vertex AI API Key
+                                </span>
+                                <a href="https://cloud.google.com/vertex-ai/generative-ai/docs/start/express-mode/overview" data-i18n="(Express mode keys only)" target="_blank" rel="noopener noreferrer">
+                                    (Express mode keys only)
+                                </a>
+                            </h4>
+                            <div class="flex-container">
+                                <input id="api_key_vertexai" name="api_key_vertexai" class="text_pole flex1" value="" type="text" autocomplete="off">
+                                <div title="Clear your API key" data-i18n="[title]Clear your API key" class="menu_button fa-solid fa-circle-xmark clear-api-key" data-key="api_key_vertexai"></div>
+                            </div>
+                            <div data-for="api_key_vertexai" class="neutral_warning" data-i18n="For privacy reasons, your API key will be hidden after you reload the page.">
+                                For privacy reasons, your API key will be hidden after you reload the page.
+                            </div>
+                            <div>
+                                <h4 data-i18n="Google Model">Google Model</h4>
+                                <select id="model_vertexai_select">
+                                    <optgroup label="Gemini 2.5">
+                                        <option value="gemini-2.5-pro-preview-05-06">gemini-2.5-pro-preview-05-06</option>
+                                        <option value="gemini-2.5-pro-preview-03-25">gemini-2.5-pro-preview-03-25</option>
+                                        <option value="gemini-2.5-flash-preview-05-20">gemini-2.5-flash-preview-05-20</option>
+                                        <option value="gemini-2.5-flash-preview-04-17">gemini-2.5-flash-preview-04-17</option>
+                                    </optgroup>
+                                    <optgroup label="Gemini 2.0">
+                                        <option value="gemini-2.0-flash-001">gemini-2.0-flash-001</option>
+                                        <option value="gemini-2.0-flash-lite-001">gemini-2.0-flash-lite-001</option>
+                                    </optgroup>
+                                </select>
+                            </div>
+                        </div>
                         <form id="mistralai_form" data-source="mistralai" action="javascript:void(null);" method="post" enctype="multipart/form-data">
                             <h4 data-i18n="MistralAI API Key">MistralAI API Key</h4>
                             <div class="flex-container">

                                         <option value="codestral-mamba-latest">codestral-mamba-latest</option>
                                         <option value="pixtral-12b-latest">pixtral-12b-latest</option>
                                         <option value="pixtral-large-latest">pixtral-large-latest</option>
+                                        <option value="devstral-small-latest">devstral-small-latest</option>
                                     </optgroup>
                                     <optgroup label="Sub-versions">
                                         <option value="open-mistral-nemo-2407">open-mistral-nemo-2407</option>

                                         <option value="mistral-small-2501">mistral-small-2501</option>
                                         <option value="mistral-small-2503">mistral-small-2503</option>
                                         <option value="mistral-medium-2312">mistral-medium-2312</option>
+                                        <option value="mistral-medium-2505">mistral-medium-2505</option>
                                         <option value="mistral-large-2402">mistral-large-2402</option>
                                         <option value="mistral-large-2407">mistral-large-2407</option>
                                         <option value="mistral-large-2411">mistral-large-2411</option>

                                         <option value="codestral-2501">codestral-2501</option>
                                         <option value="pixtral-12b-2409">pixtral-12b-2409</option>
                                         <option value="pixtral-large-2411">pixtral-large-2411</option>
+                                        <option value="devstral-small-2505">devstral-small-2505</option>
                                     </optgroup>
                                     <optgroup id="mistralai_other_models" label="Other"></optgroup>
                                 </select>

                             <div>
                                 <small>
                                     <span data-i18n="Doesn't work? Try adding">Doesn't work? Try adding</span> <code>/v1</code> <span data-i18n="at the end!">at the end!</span>
+                                    <code>/chat/completions</code> <b data-i18n="suffix will be added automatically.">suffix will be added automatically.</b>
                                 </small>
                             </div>
                             <h4>

                                 <option value="grok-beta">grok-beta</option>
                             </select>
                         </div>
-                        <div id="prompt_post_porcessing_form" data-source="custom,openrouter">
+                        <div id="pollinations_form" data-source="pollinations">
-                            <h4 data-i18n="Prompt Post-Processing">Prompt Post-Processing</h4>
+                            <h4 data-i18n="Pollinations Model">Pollinations Model</h4>
+                            <select id="model_pollinations_select">
+                                <!-- Populated by JavaScript -->
+                            </select>
+                            <div class="info-block hint">
+                                <a href="https://pollinations.ai/" target="_blank" rel="noopener noreferrer" data-i18n="Provided free of charge by Pollinations.AI">
+                                    Provided free of charge by Pollinations.AI
+                                </a>
+                                <br>
+                                <span data-i18n="Avoid sending sensitive information. Provider's outputs may include ads.">
+                                    Avoid sending sensitive information. Provider's outputs may include ads.
+                                </span>
+                            </div>
+                        </div>
+                        <div id="prompt_post_processing_form">
+                            <h4>
+                                <span data-i18n="Prompt Post-Processing">
+                                    Prompt Post-Processing
+                                </span>
+                                <a href="https://docs.sillytavern.app/usage/api-connections/openai/#prompt-post-processing" class="notes-link" target="_blank">
+                                    <span class="fa-solid fa-circle-question note-link-span"></span>
+                                </a>
+                            </h4>
                             <select id="custom_prompt_post_processing" class="text_pole" title="Applies additional processing to the prompt before sending it to the API." data-i18n="[title]Applies additional processing to the prompt before sending it to the API.">
                                 <option data-i18n="prompt_post_processing_none" value="">None</option>
                                 <option data-i18n="prompt_post_processing_merge" value="merge">Merge consecutive roles</option>
                                 <option data-i18n="prompt_post_processing_semi" value="semi">Semi-strict (alternating roles)</option>
                                 <option data-i18n="prompt_post_processing_strict" value="strict">Strict (user first, alternating roles)</option>
+                                <option data-i18n="prompt_post_processing_single" value="single">Single user message</option>
                             </select>
                         </div>
                         <div class="flex-container flex">

                             <div name="AvatarAndChatDisplay" class="flex-container flexFlowColumn">
                                 <div class="flex-container alignItemsBaseline">
                                     <span data-i18n="Avatar Style:">Avatars:</span>
-                                    <select id="avatar_style" class="widthNatural flex1 margin0">
+                                    <select id="avatar_style" class="widthNatural flex1 margin0 text_pole">
                                         <option value="0" data-i18n="Circle">Circle</option>
                                         <option value="2" data-i18n="Square">Square</option>
+                                        <option value="3" data-i18n="Rounded">Rounded</option>
                                         <option value="1" data-i18n="Rectangle">Rectangle</option>
                                     </select>
                                 </div>
                                 <div class="flex-container alignItemsBaseline">
-                                    <span data-i18n="Chat Style:">Chat Style:</span><br>
+                                    <span data-i18n="Chat Style:">Chat Style:</span>
-                                    <select id="chat_display" class="widthNatural flex1 margin0">
+                                    <select id="chat_display" class="widthNatural flex1 margin0 text_pole">
                                         <option value="0" data-i18n="Flat">Flat</option>
                                         <option value="1" data-i18n="Bubbles">Bubbles</option>
                                         <option value="2" data-i18n="Document">Document</option>
                                     </select>
                                 </div>
+                                <div class="flex-container alignItemsBaseline">
+                                    <span data-i18n="Notifications:">Notifications:</span>
+                                    <select id="toastr_position" class="widthNatural flex1 margin0 text_pole">
+                                        <option value="toast-top-left" data-i18n="Top Left">Top Left</option>
+                                        <option value="toast-top-center" data-i18n="Top Center">Top Center</option>
+                                        <option value="toast-top-right" data-i18n="Top Right">Top Right</option>
+                                        <option value="toast-bottom-left" data-i18n="Bottom Left">Bottom Left</option>
+                                        <option value="toast-bottom-center" data-i18n="Bottom Center">Bottom Center</option>
+                                        <option value="toast-bottom-right" data-i18n="Bottom Right">Bottom Right</option>
+                                    </select>
+                                </div>
                             </div>
                             <div class="inline-drawer wide100p flexFlowColumn">
                                 <div class="inline-drawer-toggle inline-drawer-header userSettingsInnerExpandable" title="Specify colors for your theme." data-i18n="[title]Specify colors for your theme.">

                                     <small data-i18n="Tags as Folders">Tags as Folders</small>
                                     <i title="Recent change: Tags must be marked as folders in the Tag Management menu to appear as such. Click here to bring it up." data-i18n="[title]Tags_as_Folders_desc" class="tags_view right_menu_button fa-solid fa-circle-exclamation"></i>
                                 </label>
+                                <label for="click_to_edit" class="checkbox_label" title="Click the message text in the chat log to edit it." data-i18n="[title]Click the message text in the chat log to edit it.">
+                                    <input id="click_to_edit" type="checkbox" />
+                                    <small data-i18n="Click to Edit">Click to Edit</small>
+                                </label>
                             </div>
                         </div>
                     </div>
                     <div name="UserSettingsSecondColumn" id="UI-Customization" class="flex-container flexFlowColumn wide100p flexNoGap flex1">

                                                 <option id="import_tags" data-i18n="Import Tags">
                                                     Import Tags
                                                 </option>
+                                                <option id="set_as_assistant" data-i18n="Set / Unset as Welcome Page Assistant">
+                                                    Set / Unset as Welcome Page Assistant
+                                                </option>
                                                 <!--<option id="dupe_button">
                                                         Duplicate
                                                     </option>

                         </div>
                         <hr>
                         <div id="spoiler_free_desc" class="flex-container flexFlowColumn flex1 flexNoGap">
-                            <div id="creators_notes_div" class="title_restorable">
+                            <div id="creators_notes_div" class="title_restorable flexGap5">
-                                <span data-i18n="Creator's Notes">Creator's Notes</span>
+                                <span class="flex1" data-i18n="Creator's Notes">Creator's Notes</span>
                                 <small id="creators_note_desc_hidden" data-i18n="Character details are hidden.">Character details are hidden.</small>
+                                <div id="creators_note_styles_button" class="margin0 menu_button fa-solid fa-palette fa-fw" title="Allow / Forbid the use of global styles for this character." data-i18n="[title]Allow / Forbid the use of global styles for this character."></div>
                                 <div id="spoiler_free_desc_button" class="margin0 menu_button fa-solid fa-eye fa-fw" title="Show / Hide Description and First Message" data-i18n="[title]Show / Hide Description and First Message"></div>
                             </div>
                             <div id="creator_notes_spoiler" class="flex1"></div>

                 <div title="Tag as folder" class="tag_as_folder fa-solid fa-folder-open right_menu_button" data-i18n="[title]Use tag as folder">
                     <span class="tag_folder_indicator"></span>
                 </div>
+                <div class="right_menu_button fa-solid fa-eye fa-fw eye-toggle"></div>
                 <div class="tag_view_color_picker" data-value="color"></div>
                 <div class="tag_view_color_picker" data-value="color2"></div>
                 <div class="tag_view_name" contenteditable="true"></div>

                     <div class="wide100p character_name_block">
                         <span class="ch_name"></span>
                         <small class="ch_additional_info ch_add_placeholder">+++</small>
+                        <small class="ch_assistant" title="This character will be used as a welcome page assistant." data-i18n="[title]This character will be used as a welcome page assistant.">
+                            <i class="fa-solid fa-sm fa-user-graduate"></i>
+                        </small>
                         <small class="ch_additional_info character_version"></small>
                         <small class="ch_additional_info ch_avatar_url"></small>
                     </div>

                                 <label for="completion_prompt_manager_popup_entry_form_name">
                                     <span data-i18n="prompt_manager_name">Name</span>
                                 </label>
-                                <div class="text_muted" data-i18n="A name for this prompt.">A name for this prompt.</div>
                                 <input id="completion_prompt_manager_popup_entry_form_name" class="text_pole" type="text" name="name" />
+                                <div class="text_muted" data-i18n="A name for this prompt.">A name for this prompt.</div>
                             </div>
                             <div class="completion_prompt_manager_popup_entry_form_control flex1">
                                 <label for="completion_prompt_manager_popup_entry_form_role">
                                     <span data-i18n="Role">Role</span>
                                 </label>
-                                <div class="text_muted">
-                                    <span data-i18n="To whom this message will be attributed.">To whom this message will be attributed.</span>
-                                </div>
                                 <select id="completion_prompt_manager_popup_entry_form_role" class="text_pole" name="role">
                                     <option data-i18n="System" value="system">System</option>
                                     <option data-i18n="User" value="user">User</option>
                                     <option data-i18n="AI Assistant" value="assistant">AI Assistant</option>
                                 </select>
+                                <div class="text_muted" data-i18n="To whom this message will be attributed.">To whom this message will be attributed.</div>
                             </div>
                         </div>
                         <div class="flex-container gap10px">

                                 <label for="completion_prompt_manager_popup_entry_form_injection_position">
                                     <span data-i18n="prompt_manager_position">Position</span>
                                 </label>
-                                <div class="text_muted" data-i18n="Injection position. Relative (to other prompts in prompt manager) or In-chat @ Depth.">Injection position. Relative (to other prompts in prompt manager) or In-chat @ Depth.</div>
                                 <select id="completion_prompt_manager_popup_entry_form_injection_position" class="text_pole" name="injection_position">
                                     <option data-i18n="prompt_manager_relative" value="0">Relative</option>
                                     <option data-i18n="prompt_manager_in_chat" value="1">In-chat</option>
                                 </select>
+                                <div class="text_muted" data-i18n="Relative (to other prompts in prompt manager) or In-chat @ Depth.">Relative (to other prompts in prompt manager) or In-chat @ Depth.</div>
                             </div>
                             <div id="completion_prompt_manager_depth_block" class="completion_prompt_manager_popup_entry_form_control flex1">
                                 <label for="completion_prompt_manager_popup_entry_form_injection_depth">
                                     <span data-i18n="prompt_manager_depth">Depth</span>
                                 </label>
-                                <div class="text_muted" data-i18n="Injection depth. 0 = after the last message, 1 = before the last message, etc.">Injection depth. 0 = after the last message, 1 = before the last message, etc.</div>
                                 <input id="completion_prompt_manager_popup_entry_form_injection_depth" class="text_pole" type="number" name="injection_depth" min="0" max="9999" value="4" />
+                                <div class="text_muted" data-i18n="0 = after the last message, 1 = before the last message, etc.">0 = after the last message, 1 = before the last message, etc.</div>
+                            </div>
+                            <div id="completion_prompt_manager_order_block" class="completion_prompt_manager_popup_entry_form_control flex1">
+                                <label for="completion_prompt_manager_popup_entry_form_injection_order">
+                                    <span data-i18n="prompt_manager_order">Order</span>
+                                    <i class="fas fa-info-circle" title="Prompt injections from other sources (World Info, Author's Note, etc.) always have a default order of 100." data-i18n="[title]prompt_manager_order_note"></i>
+                                </label>
+                                <input id="completion_prompt_manager_popup_entry_form_injection_order" class="text_pole" type="number" name="injection_order" min="0" max="9999" value="100" />
+                                <div class="text_muted" data-i18n="Ordered from low/top to high/bottom, and at same order: Assistant, User, System.">Ordered from low/top to high/bottom, and at same order: Assistant, User, System.</div>
                             </div>
                         </div>
                         <div class="completion_prompt_manager_popup_entry_form_control">

                                     <label for="completion_prompt_manager_popup_entry_form_prompt">
                                         <span data-i18n="Prompt">Prompt</span>
                                     </label>
-                                    <div class="text_muted" data-i18n="The prompt to be sent.">The prompt to be sent.</div>
                                 </div>
                                 <div id="completion_prompt_manager_forbid_overrides_block">
                                     <label class="checkbox_label" for="completion_prompt_manager_popup_entry_form_forbid_overrides" title="This prompt cannot be overridden by character cards, even if overrides are preferred." data-i18n="[title]This prompt cannot be overridden by character cards, even if overrides are preferred.">

                                     </label>
                                 </div>
                             </div>
-                            <textarea id="completion_prompt_manager_popup_entry_form_prompt" class="text_pole" name="prompt">
+                            <div id="completion_prompt_manager_popup_entry_source_block">
+                                <b data-i18n="Source:">Source:</b>
+                                <span>&nbsp;</span>
+                                <span id="completion_prompt_manager_popup_entry_source"></span>
+                            </div>
+                            <textarea id="completion_prompt_manager_popup_entry_form_prompt" class="text_pole" name="prompt" placeholder="The prompt to be sent." data-i18n="[placeholder]The prompt to be sent."></textarea>
                         </textarea>
                         </div>
                         <div class="completion_prompt_manager_popup_entry_form_footer">

public/locales/ar-sa.json+4 -4 Viewed

     "Combines consecutive system messages into one (excluding example dialogues). May improve coherence for some models.": "يجمع الرسائل المتتالية للنظام في رسالة واحدة (باستثناء الحوارات المثالية). قد يحسن التتابع لبعض النماذج.",
     "Enable function calling": "تمكين استدعاء الوظيفة",
     "Send inline images": "إرسال الصور المضمنة",
-    "image_inlining_hint_1": "يرسل الصور في المطالبات إذا كان النموذج يدعمها (على سبيل المثال، GPT-4V، أو Claude 3، أو Lava 13B).\n                                                استخدم ال",
+    "image_inlining_hint_1": "يرسل الصور في المطالبات إذا كان النموذج يدعمها .\n                                                استخدم ال",
     "image_inlining_hint_2": "الإجراء على أي رسالة أو",
     "image_inlining_hint_3": "القائمة لإرفاق ملف صورة للدردشة.",
     "Inline Image Quality": "جودة الصورة المضمنة",

     "Assistant Prefill": "تعبئة مسبقة للمساعد",
     "Start Claude's answer with...": "ابدأ إجابة كلود بـ...",
     "Assistant Impersonation Prefill": "مساعد انتحال الشخصية المسبقة",
-    "Use system prompt (Claude 2.1+ only)": "استخدام التعليمة النظامية (فقط كلود 2.1+)",
     "Send the system prompt for supported models. If disabled, the user message is added to the beginning of the prompt.": "إرسال التعليمة النظامية للنماذج المدعومة. إذا تم تعطيلها، يتم إضافة رسالة المستخدم إلى بداية التعليمة.",
     "User first message": "الرسالة الأولى للمستخدم",
     "Restore User first message": "استعادة الرسالة الأولى للمستخدم",

     "Download chat as plain text document": "تنزيل الدردشة كمستند نصي عادي",
     "Delete chat file": "حذف ملف الدردشة",
     "Use tag as folder": "وضع علامة كمجلد",
+    "Hide on character card": "إخفاء في بطاقة الشخصية",
     "Delete tag": "حذف العلامة",
     "Entry Title/Memo": "عنوان الإدخال/المذكرة",
     "WI Entry Status:🔵 Constant🟢 Normal🔗 Vectorized❌ Disabled": "حالة دخول وي:\r🔵 ثابت\r🟢 عادي\r🔗 ناقل\r❌ معطل",

     "To whom this message will be attributed.": "لمن ستنسب هذه الرسالة؟",
     "AI Assistant": "مساعد الذكاء الاصطناعي",
     "prompt_manager_position": "موضع",
-    "Injection position. Next to other prompts (relative) or in-chat (absolute).": "موضع الحقن. بجوار المطالبات الأخرى (نسبية) أو داخل الدردشة (مطلقة).",
+    "Next to other prompts (relative) or in-chat (absolute).": "موضع الحقن. بجوار المطالبات الأخرى (نسبية) أو داخل الدردشة (مطلقة).",
     "prompt_manager_relative": "نسبي",
     "prompt_manager_depth": "عمق",
-    "Injection depth. 0 = after the last message, 1 = before the last message, etc.": "عمق الحقن. 0 = بعد الرسالة الأخيرة، 1 = قبل الرسالة الأخيرة، الخ.",
+    "0 = after the last message, 1 = before the last message, etc.": "عمق الحقن. 0 = بعد الرسالة الأخيرة، 1 = قبل الرسالة الأخيرة، الخ.",
     "Prompt": "موضوع",
     "The prompt to be sent.": "المطالبة ليتم إرسالها.",
     "This prompt cannot be overridden by character cards, even if overrides are preferred.": "لا يمكن تجاوز هذه المطالبة بواسطة بطاقات الأحرف، حتى إذا كان التجاوزات مفضلاً.",

public/locales/de-de.json+4 -4 Viewed

     "Combines consecutive system messages into one (excluding example dialogues). May improve coherence for some models.": "Kombiniert aufeinanderfolgende Systemnachrichten zu einer (ausschließlich Beispiel-Dialoge ausgeschlossen). Kann die Kohärenz für einige Modelle verbessern.",
     "Enable function calling": "Funktionsaufruf aktivieren",
     "Send inline images": "Inline-Bilder senden",
-    "image_inlining_hint_1": "Sendet Bilder in Eingabeaufforderungen, wenn das Modell dies unterstützt (z. B. GPT-4V, Claude 3 oder Llava 13B).\nVerwenden Sie die",
+    "image_inlining_hint_1": "Sendet Bilder in Eingabeaufforderungen, wenn das Modell dies unterstützt.\nVerwenden Sie die",
     "image_inlining_hint_2": "Aktion auf eine Nachricht oder die",
     "image_inlining_hint_3": "Menü, um eine Bilddatei an den Chat anzuhängen.",
     "Inline Image Quality": "Inline-Bildqualität",

     "Assistant Prefill": "Assistenten-Vorausfüllung",
     "Start Claude's answer with...": "Beginne Claudes Antwort mit...",
     "Assistant Impersonation Prefill": "Identitätswechsel des Assistenten vorab ausfüllen",
-    "Use system prompt (Claude 2.1+ only)": "Systemprompt verwenden (nur Claude 2.1+)",
     "Send the system prompt for supported models. If disabled, the user message is added to the beginning of the prompt.": "Senden Sie die Systemaufforderung für unterstützte Modelle. Wenn deaktiviert, wird die Benutzernachricht am Anfang der Aufforderung hinzugefügt.",
     "User first message": "Erste Nachricht des Benutzers",
     "Restore User first message": "Erste Nachricht des Benutzers wiederherstellen",

     "Download chat as plain text document": "Chat als einfaches Textdokument herunterladen",
     "Delete chat file": "Chatdatei löschen",
     "Use tag as folder": "Als Ordner markieren",
+    "Hide on character card": "Auf Charakterkarte ausblenden",
     "Delete tag": "Tag löschen",
     "Entry Title/Memo": "Eintragstitel/Memo",
     "WI Entry Status:🔵 Constant🟢 Normal🔗 Vectorized❌ Disabled": "WI-Eintragstatus: 🔵 Konstant 🟢 Normal 🔗 Vektorisiert ❌ Deaktiviert",

     "To whom this message will be attributed.": "Wem diese Nachricht zugeschrieben wird.",
     "AI Assistant": "KI-Assistent",
     "prompt_manager_position": "Position",
-    "Injection position. Next to other prompts (relative) or in-chat (absolute).": "Injektionsposition. Neben anderen Eingabeaufforderungen (relativ) oder im Chat (absolut).",
+    "Next to other prompts (relative) or in-chat (absolute).": "Neben anderen Eingabeaufforderungen (relativ) oder im Chat (absolut).",
     "prompt_manager_relative": "Relativ",
     "prompt_manager_depth": "Tiefe",
-    "Injection depth. 0 = after the last message, 1 = before the last message, etc.": "Injektionstiefe. 0 = nach der letzten Nachricht, 1 = vor der letzten Nachricht usw.",
+    "0 = after the last message, 1 = before the last message, etc.": "0 = nach der letzten Nachricht, 1 = vor der letzten Nachricht usw.",
     "Prompt": "Aufforderung",
     "The prompt to be sent.": "Die zu sendende Eingabeaufforderung.",
     "This prompt cannot be overridden by character cards, even if overrides are preferred.": "Diese Eingabeaufforderung kann nicht durch Charakterkarten überschrieben werden, selbst wenn dies bevorzugt wird.",

public/locales/es-es.json+4 -4 Viewed

     "Combines consecutive system messages into one (excluding example dialogues). May improve coherence for some models.": "Combina mensajes del sistema consecutivos en uno solo (excluyendo diálogos de ejemplo). Puede mejorar la coherencia para algunos modelos.",
     "Enable function calling": "Habilitar llamada a función",
     "Send inline images": "Enviar imágenes en línea",
-    "image_inlining_hint_1": "Envía imágenes en mensajes si el modelo lo admite (por ejemplo, GPT-4V, Claude 3 o Llava 13B).\n                                                Utilizar el",
+    "image_inlining_hint_1": "Envía imágenes en mensajes si el modelo lo admite.\n                                                Utilizar el",
     "image_inlining_hint_2": "acción sobre cualquier mensaje o el",
     "image_inlining_hint_3": "menú para adjuntar un archivo de imagen al chat.",
     "Inline Image Quality": "Calidad de imagen en línea",

     "Assistant Prefill": "Prellenado de Asistente",
     "Start Claude's answer with...": "Iniciar la respuesta de Claude con...",
     "Assistant Impersonation Prefill": "Precarga de suplantación de asistente",
-    "Use system prompt (Claude 2.1+ only)": "Usar indicación del sistema (solo para Claude 2.1+)",
     "Send the system prompt for supported models. If disabled, the user message is added to the beginning of the prompt.": "Enviar la indicación del sistema para los modelos admitidos. Si está desactivado, el mensaje del usuario se agrega al principio de las indicaciónes.",
     "User first message": "Primer mensaje del usuario",
     "Restore User first message": "Restaurar el primer mensaje del usuario",

     "Download chat as plain text document": "Descargar chat como documento de texto sin formato",
     "Delete chat file": "Eliminar archivo de chat",
     "Use tag as folder": "Etiquetar como carpeta",
+    "Hide on character card": "Ocultar en la tarjeta del personaje",
     "Delete tag": "Eliminar etiqueta",
     "Entry Title/Memo": "Título/Memo",
     "WI Entry Status:🔵 Constant🟢 Normal🔗 Vectorized❌ Disabled": "Estado de entrada a WI:\r🔵 Constante\r🟢Normal\r🔗 Vectorizado\r❌ Deshabilitado",

     "To whom this message will be attributed.": "A quién se le atribuirá este mensaje.",
     "AI Assistant": "Asistente de IA",
     "prompt_manager_position": "Posición",
-    "Injection position. Next to other prompts (relative) or in-chat (absolute).": "Posición de inyección. Junto a otras indicaciones (relativa) o en el chat (absoluta).",
+    "Next to other prompts (relative) or in-chat (absolute).": "Junto a otras indicaciones (relativa) o en el chat (absoluta).",
     "prompt_manager_relative": "Relativo",
     "prompt_manager_depth": "Profundidad",
-    "Injection depth. 0 = after the last message, 1 = before the last message, etc.": "Profundidad de inyección. 0 = después del último mensaje, 1 = antes del último mensaje, etc.",
+    "0 = after the last message, 1 = before the last message, etc.": "0 = después del último mensaje, 1 = antes del último mensaje, etc.",
     "Prompt": "Indicar",
     "The prompt to be sent.": "El mensaje que se enviará.",
     "This prompt cannot be overridden by character cards, even if overrides are preferred.": "Este mensaje no puede ser anulado por tarjetas de personaje, incluso si se prefieren las anulaciones.",

public/locales/fr-fr.json+4 -5 Viewed

     "Combines consecutive system messages into one (excluding example dialogues). May improve coherence for some models.": "Combine les messages système consécutifs en un seul (à l'exclusion des dialogues d'exemple). Peut améliorer la cohérence pour certains modèles.",
     "Enable function calling": "Activer l'appel de fonction",
     "Send inline images": "Envoyer des images en ligne",
-    "image_inlining_hint_1": "Envoie des images dans les prompts si le modèle le prend en charge (par exemple GPT-4V, Claude 3 ou Llava 13B).\nUtilisez le",
+    "image_inlining_hint_1": "Envoie des images dans les prompts si le modèle le prend en charge.\nUtilisez le",
     "image_inlining_hint_2": "action sur n'importe quel message ou le",
     "image_inlining_hint_3": "menu pour joindre un fichier image au chat.",
     "Inline Image Quality": "Qualité d'image en ligne",

     "Assistant Prefill": "Pré-remplissage de l'assistant",
     "Start Claude's answer with...": "Commencer la réponse de Claude par...",
     "Assistant Impersonation Prefill": "Pré-remplir l'usurpation d'identité de l'assistant",
-    "Use system prompt (Claude 2.1+ only)": "Utiliser le prompt système (uniquement Claude 2.1+)",
     "Send the system prompt for supported models. If disabled, the user message is added to the beginning of the prompt.": "Envoyer le prompt système pour les modèles pris en charge. Si désactivé, le message de l'utilisateur est ajouté au début du prompt.",
     "New preset": "Nouveau preset",
     "Delete preset": "Supprimer le preset",

     "Download chat as plain text document": "Télécharger la discussion sous forme de document texte brut",
     "Delete chat file": "Supprimer le fichier de discussion",
     "Use tag as folder": "Utiliser les tags comme dossier",
+    "Hide on character card": "Masquer sur la fiche du personnage",
     "Delete tag": "Supprimer le tag'",
     "Entry Title/Memo": "Titre de l'entrée/Mémo",
     "WI_Entry_Status_Constant": "Constante",

     "prompt_manager_position": "Position",
     "prompt_manager_relative": "Relatif",
     "prompt_manager_depth": "Profondeur",
-    "Injection depth. 0 = after the last message, 1 = before the last message, etc.": "Profondeur d'injection. 0 = après le dernier message, 1 = avant le dernier message, etc.",
+    "0 = after the last message, 1 = before the last message, etc.": "0 = après le dernier message, 1 = avant le dernier message, etc.",
     "Prompt": "Prompt",
     "The prompt to be sent.": "Le prompt à envoyer.",
     "This prompt cannot be overridden by character cards, even if overrides are preferred.": "Ce prompt ne peut pas être remplacé par les cartes de personnage, même si les remplacements sont préférés.",

     "Filter to Characters or Tags": "Filtre sur les personnages ou les tags",
     "Switch the Character/Tags filter around to exclude the listed characters and tags from matching for this entry": "Changez le filtre Personnages/Tags pour exclure les personnages et tags listés de la correspondance pour cette entrée.",
     "Exclude": "Exclure",
-    "Injection position. Relative (to other prompts in prompt manager) or In-chat @ Depth.": "Position d'injection. Relative (par rapport à d'autres prompts dans le gestionnaire de prompts) ou In-chat @ Depth.",
+    "Relative (to other prompts in prompt manager) or In-chat @ Depth.": "Relative (par rapport à d'autres prompts dans le gestionnaire de prompts) ou In-chat @ Depth.",
     "prompt_manager_in_chat": "In-chat",
     "The content of this prompt is pulled from elsewhere and cannot be edited here.": "Le contenu de ce message est tiré d'autres sources et ne peut être modifié ici..",
     "Open checkpoint chat\nShift+Click to replace the existing checkpoint with a new one": "Cliquer pour ouvrir le chat du point de contrôle\nShift+Click pour remplacer le point de contrôle existant par un nouveau.",

     "Trigger %": "Déclencheur %",
     "Only chunk on custom boundary": "Only chunk on custom boundary",
     "Generate Caption": "Générer une légende",
-    "Use System Prompt": "Utiliser le prompt système:",
     "Settings Preset": "Preset de réglages:",
     "System Prompt Name": "Nom du prompt système:",
     "Instruct Mode": "Mode Instruction:",

public/locales/is-is.json+4 -4 Viewed

     "Combines consecutive system messages into one (excluding example dialogues). May improve coherence for some models.": "Sameinar samhliða kerfisskilaboð í eitt (sem er utan umsagna dæmum). Getur bætt samfelldni fyrir sumar módel.",
     "Enable function calling": "Virkja aðgerðarkall",
     "Send inline images": "Senda myndir í línu",
-    "image_inlining_hint_1": "Sendir myndir í skilaboðum ef líkanið styður það (t.d. GPT-4V, Claude 3 eða Llava 13B).\n                                                Nota",
+    "image_inlining_hint_1": "Sendir myndir í skilaboðum ef líkanið styður það.\n                                                Nota",
     "image_inlining_hint_2": "aðgerð á hvaða skilaboðum sem er eða",
     "image_inlining_hint_3": "valmynd til að hengja myndskrá við spjallið.",
     "Inline Image Quality": "Innbyggð myndgæði",

     "Assistant Prefill": "Fyrirfram fylla viðstoðarmanns",
     "Start Claude's answer with...": "Byrjaðu svör Claude með...",
     "Assistant Impersonation Prefill": "Forfylling aðstoðarmanns eftirlíkingar",
-    "Use system prompt (Claude 2.1+ only)": "Nota kerfisflug (einungis Claude 2.1+)",
     "Send the system prompt for supported models. If disabled, the user message is added to the beginning of the prompt.": "Senda kerfisflug fyrir styðjandi módel. Ef óvirk, er notendaskilaboð bætt við byrjun flugs.",
     "User first message": "Fyrstu skilaboð notanda",
     "Restore User first message": "Endurheimta fyrstu skilaboð notanda",

     "Download chat as plain text document": "Niðurhala spjalli sem einfaldan textaskjal",
     "Delete chat file": "Eyða spjallaskrá",
     "Use tag as folder": "Merktu sem mappa",
+    "Hide on character card": "Fela á persónukorti",
     "Delete tag": "Eyða merki",
     "Entry Title/Memo": "Titill færslu/Minnisblað",
     "WI Entry Status:🔵 Constant🟢 Normal🔗 Vectorized❌ Disabled": "WI inngangsstaða:\r🔵 Stöðugt\r😢 Venjulegt\r🔗 Vectorized\r❌ Óvirk",

     "To whom this message will be attributed.": "Hverjum þessi skilaboð verða eignuð.",
     "AI Assistant": "AI aðstoðarmaður",
     "prompt_manager_position": "Staða",
-    "Injection position. Next to other prompts (relative) or in-chat (absolute).": "Inndælingarstaða. Við hliðina á öðrum leiðbeiningum (afstætt) eða í spjalli (algert).",
+    "Next to other prompts (relative) or in-chat (absolute).": "Við hliðina á öðrum leiðbeiningum (afstætt) eða í spjalli (algert).",
     "prompt_manager_relative": "Aðstandandi",
     "prompt_manager_depth": "Dýpt",
-    "Injection depth. 0 = after the last message, 1 = before the last message, etc.": "Inndælingardýpt. 0 = eftir síðustu skilaboð, 1 = fyrir síðustu skilaboð o.s.frv.",
+    "0 = after the last message, 1 = before the last message, etc.": "0 = eftir síðustu skilaboð, 1 = fyrir síðustu skilaboð o.s.frv.",
     "Prompt": "Ábending",
     "The prompt to be sent.": "Tilvitnunin sem á að senda.",
     "This prompt cannot be overridden by character cards, even if overrides are preferred.": "Ekki er hægt að hnekkja þessari vísbendingu með persónuspjöldum, jafnvel þótt hnekkingar séu æskilegar.",

public/locales/it-it.json+4 -4 Viewed

     "Combines consecutive system messages into one (excluding example dialogues). May improve coherence for some models.": "Combina i messaggi di sistema consecutivi in uno solo (escludendo i dialoghi di esempio). Potrebbe migliorare la coerenza per alcuni modelli.",
     "Enable function calling": "Abilita la chiamata alla funzione",
     "Send inline images": "Invia immagini inline",
-    "image_inlining_hint_1": "Invia immagini nei prompt se il modello lo supporta (ad esempio GPT-4V, Claude 3 o Llava 13B).\n                                                Usa il",
+    "image_inlining_hint_1": "Invia immagini nei prompt se il modello lo supporta.\n                                                Usa il",
     "image_inlining_hint_2": "azione su qualsiasi messaggio o il",
     "image_inlining_hint_3": "menu per allegare un file immagine alla chat.",
     "Inline Image Quality": "Qualità dell'immagine in linea",

     "Assistant Prefill": "Prefill assistente",
     "Start Claude's answer with...": "Inizia la risposta di Claude con...",
     "Assistant Impersonation Prefill": "Precompilazione imitazione assistente",
-    "Use system prompt (Claude 2.1+ only)": "Usa prompt di sistema (solo Claude 2.1+)",
     "Send the system prompt for supported models. If disabled, the user message is added to the beginning of the prompt.": "Invia il prompt di sistema per i modelli supportati. Se disabilitato, il messaggio dell'utente viene aggiunto all'inizio del prompt.",
     "User first message": "Primo messaggio dell'utente",
     "Restore User first message": "Ripristina il primo messaggio dell'utente",

     "Download chat as plain text document": "Scarica la chat come documento di testo semplice",
     "Delete chat file": "Elimina il file di chat",
     "Use tag as folder": "Contrassegna come cartella",
+    "Hide on character card": "Nascondi sulla scheda del personaggio",
     "Delete tag": "Elimina il tag",
     "Entry Title/Memo": "Titolo/Memo dell'Ingresso",
     "WI Entry Status:🔵 Constant🟢 Normal🔗 Vectorized❌ Disabled": "Stato della voce WI:\r🔵 Costante\r🟢 Normale\r🔗 Vettorializzato\r❌Disabili",

     "To whom this message will be attributed.": "A chi verrà attribuito questo messaggio.",
     "AI Assistant": "Assistente AI",
     "prompt_manager_position": "Posizione",
-    "Injection position. Next to other prompts (relative) or in-chat (absolute).": "Posizione di iniezione. Accanto ad altri suggerimenti (relativo) o in chat (assoluto).",
+    "Next to other prompts (relative) or in-chat (absolute).": "Accanto ad altri suggerimenti (relativo) o in chat (assoluto).",
     "prompt_manager_relative": "Parente",
     "prompt_manager_depth": "Profondità",
-    "Injection depth. 0 = after the last message, 1 = before the last message, etc.": "Profondità di iniezione. 0 = dopo l'ultimo messaggio, 1 = prima dell'ultimo messaggio, ecc.",
+    "0 = after the last message, 1 = before the last message, etc.": "0 = dopo l'ultimo messaggio, 1 = prima dell'ultimo messaggio, ecc.",
     "Prompt": "Prompt",
     "The prompt to be sent.": "La richiesta da inviare.",
     "This prompt cannot be overridden by character cards, even if overrides are preferred.": "Questo prompt non può essere sostituito dalle schede personaggio, anche se si preferisce sostituirlo.",

public/locales/ja-jp.json+4 -4 Viewed

     "Combines consecutive system messages into one (excluding example dialogues). May improve coherence for some models.": "連続するシステムメッセージを1つに結合します（例のダイアログを除く）。一部のモデルの一貫性を向上させる可能性があります。",
     "Enable function calling": "関数呼び出しを有効にする",
     "Send inline images": "インライン画像を送信",
-    "image_inlining_hint_1": "モデルがサポートしている場合（GPT-4V、Claude 3、Llava 13Bなど）、プロンプトで画像を送信します。",
+    "image_inlining_hint_1": "モデルがサポートしている場合、プロンプトで画像を送信します。",
     "image_inlining_hint_2": "メッセージに対するアクションまたは",
     "image_inlining_hint_3": "チャットに画像ファイルを添付するためのメニュー。",
     "Inline Image Quality": "インライン画像品質",

     "Assistant Prefill": "アシスタントプリフィル",
     "Start Claude's answer with...": "クロードの回答を...で始める",
     "Assistant Impersonation Prefill": "アシスタントのなりすまし事前入力",
-    "Use system prompt (Claude 2.1+ only)": "システムプロンプトを使用します（クロード2.1以降のみ）",
     "Send the system prompt for supported models. If disabled, the user message is added to the beginning of the prompt.": "サポートされているモデルのシステムプロンプトを送信します。無効にすると、ユーザーメッセージがプロンプトの先頭に追加されます。",
     "User first message": "ユーザーの最初のメッセージ",
     "Restore User first message": "ユーザーの最初のメッセージを復元する",

     "Download chat as plain text document": "プレーンテキストドキュメントとしてチャットをダウンロード",
     "Delete chat file": "チャットファイルを削除",
     "Use tag as folder": "フォルダとしてタグ付け",
+    "Hide on character card": "キャラクターカードで非表示",
     "Delete tag": "タグを削除",
     "Entry Title/Memo": "エントリータイトル/メモ",
     "WI Entry Status:🔵 Constant🟢 Normal🔗 Vectorized❌ Disabled": "WI エントリ ステータス: 🔵 定数 🟢 通常 🔗 ベクトル化 ❌ 無効",

     "To whom this message will be attributed.": "このメッセージの送信者。",
     "AI Assistant": "AIアシスタント",
     "prompt_manager_position": "位置",
-    "Injection position. Next to other prompts (relative) or in-chat (absolute).": "挿入位置。他のプロンプトの隣 (相対) またはチャット内 (絶対)。",
+    "Next to other prompts (relative) or in-chat (absolute).": "他のプロンプトの隣 (相対) またはチャット内 (絶対)。",
     "prompt_manager_relative": "相対的",
     "prompt_manager_depth": "深さ",
-    "Injection depth. 0 = after the last message, 1 = before the last message, etc.": "注入の深さ。0 = 最後のメッセージの後、1 = 最後のメッセージの前など。",
+    "0 = after the last message, 1 = before the last message, etc.": "0 = 最後のメッセージの後、1 = 最後のメッセージの前など。",
     "Prompt": "プロンプト",
     "The prompt to be sent.": "送信されるプロンプト。",
     "This prompt cannot be overridden by character cards, even if overrides are preferred.": "このプロンプトは、オーバーライドが優先される場合でも、キャラクター カードによってオーバーライドすることはできません。",

public/locales/ko-kr.json+5 -5 Viewed

     "Combines consecutive system messages into one (excluding example dialogues). May improve coherence for some models.": "연속된 시스템 메시지를 하나로 결합합니다(예제 대화 제외). 일부 모델의 일관성을 향상시킬 수 있습니다.",
     "Enable function calling": "함수 호출 활성화",
     "Send inline images": "인라인 이미지 전송",
-    "image_inlining_hint_1": "모델이 지원하는 경우 메시지로 이미지를 보냅니다(예: GPT-4V, Claude 3 또는 Llava 13B).\n                                                사용",
+    "image_inlining_hint_1": "모델이 지원하는 경우 메시지로 이미지를 보냅니다.\n                                                사용",
     "image_inlining_hint_2": "메시지에 대한 조치 또는",
     "image_inlining_hint_3": "채팅에 이미지 파일을 첨부하는 메뉴입니다.",
     "Inline Image Quality": "인라인 이미지 품질",

     "Assistant Prefill": "어시스턴트 프리필",
     "Start Claude's answer with...": "클로드의 답변 시작하기...",
     "Assistant Impersonation Prefill": "어시스턴트 사칭 프리필",
-    "Use system prompt (Claude 2.1+ only)": "시스템 프롬프트 사용 (클로드 2.1+ 전용)",
     "Send the system prompt for supported models. If disabled, the user message is added to the beginning of the prompt.": "지원되는 모델에 대한 시스템 프롬프트를 보냅니다. 비활성화된 경우 사용자 메시지가 프롬프트의 처음에 추가됩니다.",
     "User first message": "사용자 첫 번째 메시지",
     "Restore User first message": "사용자의 첫 번째 메시지 복원",

     "Download chat as plain text document": "일반 텍스트 문서로 채팅 다운로드",
     "Delete chat file": "채팅 파일 삭제",
     "Use tag as folder": "폴더로 태그 지정",
+    "Hide on character card": "캐릭터 카드에서 숨기기",
     "Delete tag": "태그 삭제",
     "Entry Title/Memo": "항목 제목/메모",
     "WI Entry Status:🔵 Constant🟢 Normal🔗 Vectorized❌ Disabled": "WI 입국 상태:\r🔵 상시\r🟢 조건 만족시\r🔗 벡터화됨\r❌ 비활성화",

     "To whom this message will be attributed.": "해당 프롬프트에 부여할 역할은 무엇인가요?",
     "AI Assistant": "AI 어시스턴트",
     "prompt_manager_position": "위치",
-    "Injection position. Next to other prompts (relative) or in-chat (absolute).": "주입 위치. 다른 프롬프트 옆(상대적) 또는 채팅 내(절대적).",
+    "Next to other prompts (relative) or in-chat (absolute).": "다른 프롬프트 옆(상대적) 또는 채팅 내(절대적).",
     "prompt_manager_relative": "상대적인",
     "prompt_manager_in_chat": "깊이에 따라",
     "prompt_manager_depth": "깊이",
-    "Injection depth. 0 = after the last message, 1 = before the last message, etc.": "주입 깊이. 0 = 마지막 메시지 뒤, 1 = 마지막 메시지 앞 등",
+    "0 = after the last message, 1 = before the last message, etc.": "0 = 마지막 메시지 뒤, 1 = 마지막 메시지 앞 등",
     "Prompt": "프롬프트",
     "The prompt to be sent.": "보내질 프롬프트 내용을 작성하는 부분입니다.",
     "This prompt cannot be overridden by character cards, even if overrides are preferred.": "이 프롬프트는 고급 정의에서 재정의가 선호되는 경우에도 재정의될 수 없습니다.",

     "enable_functions_desc_1": "다양한 확장 프로그램에서 추가 기능을 제공하기 위한",
     "enable_functions_desc_2": "기능 도구",
     "enable_functions_desc_3": "를 사용할 수 있게 합니다.",
-    "Injection position. Relative (to other prompts in prompt manager) or In-chat @ Depth.": "삽입 깊이. 상대적인 (프롬프트 관리 목록에 있는 다른 프롬프트들에 비해) 또는 @Depth 깊이에 따라.",
+    "Relative (to other prompts in prompt manager) or In-chat @ Depth.": "상대적인 (프롬프트 관리 목록에 있는 다른 프롬프트들에 비해) 또는 @Depth 깊이에 따라.",
     "Instruct Template": "지시 템플릿",
     "System Message Sequences": "시스템 메시지 시퀀스",
     "System Prompt Sequences": "시스템 프롬프트 시퀀스",

public/locales/nl-nl.json+4 -4 Viewed

     "Combines consecutive system messages into one (excluding example dialogues). May improve coherence for some models.": "Combineert opeenvolgende systeemberichten tot één (exclusief voorbeeld dialogen). Kan de coherentie verbeteren voor sommige modellen.",
     "Enable function calling": "Schakel functieaanroepen in",
     "Send inline images": "Inline afbeeldingen verzenden",
-    "image_inlining_hint_1": "Verzendt afbeeldingen in prompts als het model dit ondersteunt (bijvoorbeeld GPT-4V, Claude 3 of Llava 13B).\n                                                Gebruik de",
+    "image_inlining_hint_1": "Verzendt afbeeldingen in prompts als het model dit ondersteunt.\n                                                Gebruik de",
     "image_inlining_hint_2": "actie op elk bericht of de",
     "image_inlining_hint_3": "menu om een afbeeldingsbestand aan de chat toe te voegen.",
     "Inline Image Quality": "Inline-beeldkwaliteit",

     "Assistant Prefill": "Assistent Voorvullen",
     "Start Claude's answer with...": "Start het antwoord van Claude met...",
     "Assistant Impersonation Prefill": "Vooraf invullen van assistent-imitatie",
-    "Use system prompt (Claude 2.1+ only)": "Gebruik systeemprompt (alleen Claude 2.1+)",
     "Send the system prompt for supported models. If disabled, the user message is added to the beginning of the prompt.": "Verzend de systeemprompt voor ondersteunde modellen. Als dit is uitgeschakeld, wordt het gebruikersbericht toegevoegd aan het begin van de prompt.",
     "User first message": "Bericht van de gebruiker eerst",
     "Restore User first message": "Herstel gebruiker eerste bericht",

     "Download chat as plain text document": "Download chat als plat tekstbestand",
     "Delete chat file": "Chatbestand verwijderen",
     "Use tag as folder": "Taggen als map",
+    "Hide on character card": "Verbergen op karakterkaart",
     "Delete tag": "Tag verwijderen",
     "Entry Title/Memo": "Titel/Memo",
     "WI Entry Status:🔵 Constant🟢 Normal🔗 Vectorized❌ Disabled": "WI-invoerstatus:\r🔵Constant\r🟢 Normaal\r🔗 Gevectoriseerd\r❌ Uitgeschakeld",

     "To whom this message will be attributed.": "Aan wie dit bericht wordt toegeschreven.",
     "AI Assistant": "AI-assistent",
     "prompt_manager_position": "Positie",
-    "Injection position. Next to other prompts (relative) or in-chat (absolute).": "Injectiepositie. Naast andere prompts (relatief) of in-chat (absoluut).",
+    "Next to other prompts (relative) or in-chat (absolute).": "Naast andere prompts (relatief) of in-chat (absoluut).",
     "prompt_manager_relative": "Familielid",
     "prompt_manager_depth": "Diepte",
-    "Injection depth. 0 = after the last message, 1 = before the last message, etc.": "Injectiediepte. 0 = na het laatste bericht, 1 = voor het laatste bericht, etc.",
+    "0 = after the last message, 1 = before the last message, etc.": "0 = na het laatste bericht, 1 = voor het laatste bericht, etc.",
     "Prompt": "Prompt",
     "The prompt to be sent.": "De prompt die verzonden moet worden.",
     "This prompt cannot be overridden by character cards, even if overrides are preferred.": "Deze prompt kan niet worden overschreven door karakterkaarten, zelfs als overschrijvingen de voorkeur hebben.",

public/locales/pt-pt.json+4 -4 Viewed

     "Combines consecutive system messages into one (excluding example dialogues). May improve coherence for some models.": "Combina mensagens do sistema consecutivas em uma (excluindo diálogos de exemplo). Pode melhorar a coerência para alguns modelos.",
     "Enable function calling": "Habilitar chamada de função",
     "Send inline images": "Enviar imagens inline",
-    "image_inlining_hint_1": "Envia imagens em prompts se o modelo suportar (por exemplo, GPT-4V, Claude 3 ou Llava 13B).\n                                                Use o",
+    "image_inlining_hint_1": "Envia imagens em prompts se o modelo suportar.\n                                                Use o",
     "image_inlining_hint_2": "ação em qualquer mensagem ou",
     "image_inlining_hint_3": "menu para anexar um arquivo de imagem ao chat.",
     "Inline Image Quality": "Qualidade de imagem embutida",

     "Assistant Prefill": "Preenchimento prévio do assistente",
     "Start Claude's answer with...": "Iniciar resposta de Claude com...",
     "Assistant Impersonation Prefill": "Pré-preenchimento de representação do assistente",
-    "Use system prompt (Claude 2.1+ only)": "Usar prompt do sistema (apenas Claude 2.1+)",
     "Send the system prompt for supported models. If disabled, the user message is added to the beginning of the prompt.": "Enviar o prompt do sistema para modelos suportados. Se desativado, a mensagem do usuário é adicionada ao início do prompt.",
     "User first message": "Primeira mensagem do usuário",
     "Restore User first message": "Restaurar a primeira mensagem do usuário",

     "Download chat as plain text document": "Baixar bate-papo como documento de texto simples",
     "Delete chat file": "Excluir arquivo de bate-papo",
     "Use tag as folder": "Marcar como pasta",
+    "Hide on character card": "Ocultar no cartão do personagem",
     "Delete tag": "Excluir tag",
     "Entry Title/Memo": "Título da Entrada/Memo",
     "WI Entry Status:🔵 Constant🟢 Normal🔗 Vectorized❌ Disabled": "Status de entrada WI:\r🔵 Constante\r🟢 Normais\r🔗 Vetorizado\r❌ Desativado",

     "To whom this message will be attributed.": "A quem esta mensagem será atribuída.",
     "AI Assistant": "Assistente de IA",
     "prompt_manager_position": "Posição",
-    "Injection position. Next to other prompts (relative) or in-chat (absolute).": "Posição de injeção. Ao lado de outras solicitações (relativas) ou no chat (absolutas).",
+    "Next to other prompts (relative) or in-chat (absolute).": "Ao lado de outras solicitações (relativas) ou no chat (absolutas).",
     "prompt_manager_relative": "Relativo",
     "prompt_manager_depth": "Profundidade",
-    "Injection depth. 0 = after the last message, 1 = before the last message, etc.": "Profundidade de injeção. 0 = após a última mensagem, 1 = antes da última mensagem, etc.",
+    "0 = after the last message, 1 = before the last message, etc.": "0 = após a última mensagem, 1 = antes da última mensagem, etc.",
     "Prompt": "Prompt",
     "The prompt to be sent.": "O prompt a ser enviado.",
     "This prompt cannot be overridden by character cards, even if overrides are preferred.": "Este prompt não pode ser substituído por cartas de personagem, mesmo que as substituições sejam preferidas.",

public/locales/ru-ru.json+5 -6 Viewed

     "Send inline images": "Отправлять inline-картинки",
     "Assistant Prefill": "Префилл для ассистента",
     "Start Claude's answer with...": "Начать ответ Клода с...",
-    "Use system prompt (Claude 2.1+ only)": "Использовать системный промпт (только Claude 2.1+)",
     "Send the system prompt for supported models. If disabled, the user message is added to the beginning of the prompt.": "Отправлять системный промпт для поддерживаемых моделей. Если отключено, в начало промпта добавляется сообщение пользователя.",
     "Prompts": "Промпты",
     "Total Tokens:": "Всего токенов:",

     "To whom this message will be attributed.": "От чьего лица будет отправляться сообщение.",
     "AI Assistant": "ИИ-ассистент",
     "prompt_manager_position": "Точка инжекта",
-    "Injection position. Next to other prompts (relative) or in-chat (absolute).": "Как рассчитывать позицию для инжекта. Она может располагаться по отношению к другим промптам (относительная) либо по отношению к чату (абсолютная).",
+    "Next to other prompts (relative) or in-chat (absolute).": "Она может располагаться по отношению к другим промптам (относительная) либо по отношению к чату (абсолютная).",
     "prompt_manager_relative": "Относительная",
     "prompt_manager_depth": "Глубина",
-    "Injection depth. 0 = after the last message, 1 = before the last message, etc.": "Глубина вставки. 0 = после последнего сообщения, 1 = перед последним сообщением, и т.д.",
+    "0 = after the last message, 1 = before the last message, etc.": "0 = после последнего сообщения, 1 = перед последним сообщением, и т.д.",
     "The prompt to be sent.": "Текст промпта.",
     "prompt_manager_forbid_overrides": "Запретить перезапись",
     "This prompt cannot be overridden by character cards, even if overrides are preferred.": "Карточка персонажа не сможет перезаписать этот промпт, даже если настройки отдают приоритет именно ей.",
-    "image_inlining_hint_1": "Отправлять картинки как часть промпта, если позволяет модель (такой функционал поддерживают GPT-4V, Claude 3 или Llava 13B). Чтобы добавить в чат изображение, используйте на нужном сообщении действие",
+    "image_inlining_hint_1": "Отправлять картинки как часть промпта, если позволяет модель. Чтобы добавить в чат изображение, используйте на нужном сообщении действие",
     "image_inlining_hint_2": ". Также это можно сделать через меню",
     "image_inlining_hint_3": ".",
     "Contest Winners": "Победители конкурса",

     "Completion": "Completion Object",
     "character_names_completion": "Только латинские буквы, цифры и знак подчёркивания. Работает не для всех бэкендов, в частности для Claude, MistralAI, Google.",
     "Use AI21 Tokenizer": "Использовать токенайзер AI21",
-    "Use system prompt": "Использовать системный промпт",
     "(Gemini 1.5 Pro/Flash only)": "(только Gemini 1.5 Pro/Flash)",
     "Merges_all_system_messages_desc_1": "Объединяет все системные сообщения до первого не-системного, и отсылает их в поле",
     "Merges_all_system_messages_desc_2": ".",

     "Using a proxy that you're not running yourself is a risk to your data privacy.": "Помните, что используя чужую прокси, вы подвергаете риску конфиденциальность своих данных.",
     "ANY support requests will be REFUSED if you are using a proxy.": "НЕ РАССЧИТЫВАЙТЕ на нашу поддержку, если используете прокси.",
     "Do not proceed if you do not agree to this!": "Не продолжайте, если не согласны с этими условиями!",
-    "Injection position. Relative (to other prompts in prompt manager) or In-chat @ Depth.": "Как рассчитывать позицию, на которую вставляется данный промпт. Относительно других промтов в менеджере, либо на опред. глубину в чате.",
+    "Relative (to other prompts in prompt manager) or In-chat @ Depth.": "Относительно других промтов в менеджере, либо на опред. глубину в чате.",
     "prompt_manager_in_chat": "На глубине в чате",
     "01.AI API Key": "Ключ от API 01.AI",
     "01.AI Model": "Модель 01.AI",

     "Manual": "Когда вы скажете",
     "Auto Mode delay": "Задержка авто-режима",
     "Use tag as folder": "Тег-папка",
+    "Hide on character card": "Скрыть на карточке персонажа",
     "All connections to ${0} have been removed.": "Все связи с персонажем ${0} были удалены.",
     "Personas Unlocked": "Персоны отвязаны",
     "Remove All Connections": "Удалить все связи",

public/locales/uk-ua.json+4 -4 Viewed

     "Combines consecutive system messages into one (excluding example dialogues). May improve coherence for some models.": "Об'єднує послідовні системні повідомлення в одне (крім прикладів діалогів). Може покращити співпрацю для деяких моделей.",
     "Enable function calling": "Увімкнути виклик функцій",
     "Send inline images": "Надсилати вбудовані зображення",
-    "image_inlining_hint_1": "Надсилає зображення у підказках, якщо модель це підтримує (наприклад, GPT-4V, Claude 3 або Llava 13B).\n                                                Використовувати",
+    "image_inlining_hint_1": "Надсилає зображення у підказках, якщо модель це підтримує.\n                                                Використовувати",
     "image_inlining_hint_2": "дії з будь-яким повідомленням або",
     "image_inlining_hint_3": "меню, щоб прикріпити файл зображення до чату.",
     "Inline Image Quality": "Якість вбудованого зображення",

     "Assistant Prefill": "Асистент автозаповнення",
     "Start Claude's answer with...": "Почати відповідь Клода з...",
     "Assistant Impersonation Prefill": "Попереднє заповнення уособлення помічника",
-    "Use system prompt (Claude 2.1+ only)": "Використовувати системний промпт (тільки Claude 2.1+)",
     "Send the system prompt for supported models. If disabled, the user message is added to the beginning of the prompt.": "Надсилати системний промпт для підтримуваних моделей. Якщо відключено, повідомлення користувача додається в початок промпта.",
     "User first message": "Перше повідомлення користувача",
     "Restore User first message": "Відновити перше повідомлення користувача",

     "Download chat as plain text document": "Завантажити чат як документ у форматі простого тексту",
     "Delete chat file": "Видалити файл чату",
     "Use tag as folder": "Позначити як папку",
+    "Hide on character card": "Сховати на картці персонажа",
     "Delete tag": "Видалити тег",
     "Entry Title/Memo": "Заголовок запису",
     "WI Entry Status:🔵 Constant🟢 Normal🔗 Vectorized❌ Disabled": "Статус вступу до WI:\r🔵 Постійно\r🟢 Нормально\r🔗 Векторизовано\r❌ Вимкнено",

     "To whom this message will be attributed.": "Кому буде віднесено це повідомлення.",
     "AI Assistant": "ШІ помічник",
     "prompt_manager_position": "Позиція",
-    "Injection position. Next to other prompts (relative) or in-chat (absolute).": "Позиція ін'єкції. Поруч з іншими підказками (відносні) або в чаті (абсолютні).",
+    "Next to other prompts (relative) or in-chat (absolute).": "Поруч з іншими підказками (відносні) або в чаті (абсолютні).",
     "prompt_manager_relative": "Відносна",
     "prompt_manager_depth": "Глибина",
-    "Injection depth. 0 = after the last message, 1 = before the last message, etc.": "Глибина ін'єкції. 0 = після останнього повідомлення, 1 = перед останнім повідомленням тощо.",
+    "0 = after the last message, 1 = before the last message, etc.": "0 = після останнього повідомлення, 1 = перед останнім повідомленням тощо.",
     "Prompt": "Запит",
     "The prompt to be sent.": "Підказка для надсилання.",
     "This prompt cannot be overridden by character cards, even if overrides are preferred.": "Це підказка не може бути перевизначено картками символів, навіть якщо перевизначення є кращим.",

public/locales/vi-vn.json+4 -4 Viewed

     "Combines consecutive system messages into one (excluding example dialogues). May improve coherence for some models.": "Kết hợp các tin nhắn hệ thống liên tiếp thành một (loại bỏ các đoạn hội thoại mẫu). Có thể cải thiện tính nhất quán cho một số model.",
     "Enable function calling": "Sử dụng tính năng gọi hàm (function calling)",
     "Send inline images": "Gửi hình ảnh nội bộ",
-    "image_inlining_hint_1": "Gửi hình ảnh theo Prompt nếu kiểu máy hỗ trợ (ví dụ: GPT-4V, Claude 3 hoặc Llava 13B).\n                                                Sử dụng",
+    "image_inlining_hint_1": "Gửi hình ảnh theo Prompt nếu kiểu máy hỗ trợ.\n                                                Sử dụng",
     "image_inlining_hint_2": "hành động đối với bất kỳ tin nhắn nào hoặc",
     "image_inlining_hint_3": "menu để đính kèm tệp hình ảnh vào cuộc trò chuyện.",
     "Inline Image Quality": "Chất lượng hình ảnh nội tuyến",

     "Assistant Prefill": "Prefill trợ lý",
     "Start Claude's answer with...": "Claude trả lời bắt đầu bằng...",
     "Assistant Impersonation Prefill": "Prefill cho mạo danh trợ lý",
-    "Use system prompt (Claude 2.1+ only)": "Sử dụng prompt hệ thống (Chỉ áp dụng từ Claude 2.1+)",
     "Send the system prompt for supported models. If disabled, the user message is added to the beginning of the prompt.": "Gửi yêu cầu hệ thống cho các model được hỗ trợ. Nếu bị vô hiệu hóa, tin nhắn của người dùng sẽ được thêm vào đầu yêu cầu.",
     "User first message": "Tin nhắn đầu tiên của người dùng",
     "Restore User first message": "Khôi phục tin nhắn đầu tiên của người dùng",

     "Download chat as plain text document": "Tải xuống cuộc trò chuyện dưới dạng tài liệu văn bản đơn giản",
     "Delete chat file": "Xóa tệp trò chuyện",
     "Use tag as folder": "Gắn thẻ dưới dạng thư mục",
+    "Hide on character card": "Ẩn trên thẻ nhân vật",
     "Delete tag": "Xóa tag",
     "Entry Title/Memo": "Tiêu đề Đăng nhập/Ghi chú",
     "WI Entry Status:🔵 Constant🟢 Normal🔗 Vectorized❌ Disabled": "Trạng thái nhập WI:\r🔵 Hằng số\r🟢 Bình thường\r🔗 Được vector hóa\r❌ Bị vô hiệu hóa",

     "To whom this message will be attributed.": "Tin nhắn này sẽ được quy cho ai.",
     "AI Assistant": "Trợ lý AI",
     "prompt_manager_position": "Chức vụ",
-    "Injection position. Next to other prompts (relative) or in-chat (absolute).": "Vị trí tiêm. Bên cạnh các Prompt khác (tương đối) hoặc trong trò chuyện (tuyệt đối).",
+    "Next to other prompts (relative) or in-chat (absolute).": "Bên cạnh các Prompt khác (tương đối) hoặc trong trò chuyện (tuyệt đối).",
     "prompt_manager_relative": "Liên quan đến",
     "prompt_manager_depth": "Chiều sâu",
-    "Injection depth. 0 = after the last message, 1 = before the last message, etc.": "Độ sâu phun. 0 = sau tin nhắn cuối cùng, 1 = trước tin nhắn cuối cùng, v.v.",
+    "0 = after the last message, 1 = before the last message, etc.": "0 = sau tin nhắn cuối cùng, 1 = trước tin nhắn cuối cùng, v.v.",
     "Prompt": "Prompt",
     "The prompt to be sent.": "Lời nhắc được gửi đi.",
     "This prompt cannot be overridden by character cards, even if overrides are preferred.": "Lời nhắc này không thể bị ghi đè bằng thẻ ký tự, ngay cả khi ưu tiên ghi đè.",

public/locales/zh-cn.json+4 -4 Viewed

     "enable_functions_desc_2": "功能工具",
     "enable_functions_desc_3": "可以被各种扩展利用来提供附加功能。",
     "Send inline images": "发送图片",
-    "image_inlining_hint_1": "如果模型支持，就可以在提示词中发送图片（例如 GPT-4V、Claude 3 或 Llava 13B）。\n发送消息时，点击",
+    "image_inlining_hint_1": "如果模型支持，就可以在提示词中发送图片。\n发送消息时，点击",
     "image_inlining_hint_2": "在这里（",
     "image_inlining_hint_3": "）将图片添加到消息中。",
     "Inline Image Quality": "图片画质",

     "Expand the editor": "展开编辑器",
     "Start Claude's answer with...": "以如下内容开始Claude的回答...",
     "Assistant Impersonation Prefill": "AI帮答预填",
-    "Use system prompt (Claude 2.1+ only)": "使用系统提示词（仅适用于Claude 2.1+）",
     "Send the system prompt for supported models. If disabled, the user message is added to the beginning of the prompt.": "为支持的模型发送系统提示词。如果禁用，则用户消息将添加到提示词的开头。",
     "Confirm token parsing with": "确认使用以下工具进行词符解析",
     "Tokenizer": "词符化器",

     "Delete chat file": "删除聊天文件",
     "Drag to reorder tag": "拖动以排序",
     "Use tag as folder": "标记为文件夹",
+    "Hide on character card": "在角色卡上隐藏",
     "Delete tag": "删除标签",
     "Toggle entry's active state.": "切换条目激活状态。",
     "Entry Title/Memo": "条目标题/备忘录",

     "To whom this message will be attributed.": "此消息应归于谁。",
     "AI Assistant": "AI助手",
     "prompt_manager_position": "位置",
-    "Injection position. Relative (to other prompts in prompt manager) or In-chat @ Depth.": "注入位置。相对（相对于提示管理器中的其他提示）或在聊天中@深度。",
+    "Relative (to other prompts in prompt manager) or In-chat @ Depth.": "相对（相对于提示管理器中的其他提示）或在聊天中@深度。",
     "prompt_manager_relative": "相对",
     "prompt_manager_in_chat": "聊天中",
     "prompt_manager_depth": "深度",
-    "Injection depth. 0 = after the last message, 1 = before the last message, etc.": "注入深度。“0”为在最后一条消息之后，“1”为在最后一条消息之前，等等。",
+    "0 = after the last message, 1 = before the last message, etc.": "“0”为在最后一条消息之后，“1”为在最后一条消息之前，等等。",
     "The content of this prompt is pulled from elsewhere and cannot be edited here.": "此提示词的内容是从其他地方提取的，无法在此处进行编辑。",
     "Prompt": "提示词",
     "The prompt to be sent.": "要发送的提示词。",

public/locales/zh-tw.json+5 -5 Viewed

     "Combines consecutive system messages into one (excluding example dialogues). May improve coherence for some models.": "將連續的系統訊息合併為一個（不包括對話範例）。可能會提高某些模型的一致性。",
     "Enable function calling": "啟用函式呼叫",
     "Send inline images": "傳送內嵌圖片",
-    "image_inlining_hint_1": "如果模型支援（例如：GPT-4V、Claude 3 或 Llava 13B），則在提示詞中傳送圖片。\n使用任何訊息上的",
+    "image_inlining_hint_1": "如果模型支援，則在提示詞中傳送圖片。\n使用任何訊息上的",
     "image_inlining_hint_2": "動作或",
     "image_inlining_hint_3": "選單來附加圖片文件到聊天中。",
     "Inline Image Quality": "內嵌圖片品質",

     "Assistant Prefill": "預先填充助理訊息",
     "Start Claude's answer with...": "開始 Claude 的回答⋯",
     "Assistant Impersonation Prefill": "助理扮演時的預先填充",
-    "Use system prompt (Claude 2.1+ only)": "使用系統提示詞（僅限 Claude 2.1+）",
     "Send the system prompt for supported models. If disabled, the user message is added to the beginning of the prompt.": "為支援的模型傳送系統提示詞。停用時，使用者訊息將新增到提示詞的開頭。",
     "User first message": "使用者第一則訊息",
     "Restore User first message": "還原使用者第一則訊息",

     "Delete chat file": "刪除聊天檔案",
     "Drag to reorder tag": "拖動以重新排序標籤",
     "Use tag as folder": "將標籤作為資料夾",
+    "Hide on character card": "在角色卡上隱藏標籤",
     "Delete tag": "刪除標籤",
     "Entry Title/Memo": "條目標題／備註",
     "WI Entry Status:🔵 Constant🟢 Normal🔗 Vectorized❌ Disabled": "世界資訊條目狀態：🔵常數 🟢正常 🔗向量 ❌停用",

     "To whom this message will be attributed.": "此訊息所屬的角色。",
     "AI Assistant": "人工智慧助手",
     "prompt_manager_position": "位置",
-    "Injection position. Next to other prompts (relative) or in-chat (absolute).": "注入位置。與其他提示詞相鄰（相對位置）或在聊天中（絕對位置）。",
+    "Next to other prompts (relative) or in-chat (absolute).": "與其他提示詞相鄰（相對位置）或在聊天中（絕對位置）。",
     "prompt_manager_relative": "相對位置",
     "prompt_manager_depth": "深度",
-    "Injection depth. 0 = after the last message, 1 = before the last message, etc.": "注入深度。0 = 在最後一則訊息之後，1 = 在最後一則訊息之前，以此類推。",
+    "0 = after the last message, 1 = before the last message, etc.": "0 = 在最後一則訊息之後，1 = 在最後一則訊息之前，以此類推。",
     "Prompt": "提示詞",
     "The prompt to be sent.": "要傳送的提示詞。",
     "This prompt cannot be overridden by character cards, even if overrides are preferred.": "即使啟用優先覆寫，此提示詞也不能被角色卡片覆寫。",

     "Image Captioning": "圖片註解",
     "Generate Caption": "產生圖片註解",
     "Injection Position": "插入位置",
-    "Injection position. Relative (to other prompts in prompt manager) or In-chat @ Depth.": "插入位置（與提示詞管理器中的其他提示相比）或聊天中的深度位置。",
+    "Relative (to other prompts in prompt manager) or In-chat @ Depth.": "插入位置（與提示詞管理器中的其他提示相比）或聊天中的深度位置。",
     "Injection Template": "插入範本",
     "Insert#": "插入#",
     "Instruct Sequences": "指令序列",

public/script.js+115 -52 Viewed

 } from './scripts/utils.js';
 import { debounce_timeout, IGNORE_SYMBOL } from './scripts/constants.js';
-import { doDailyExtensionUpdatesCheck, extension_settings, initExtensions, loadExtensionSettings, runGenerationInterceptors, saveMetadataDebounced } from './scripts/extensions.js';
+import { cancelDebouncedMetadataSave, doDailyExtensionUpdatesCheck, extension_settings, initExtensions, loadExtensionSettings, runGenerationInterceptors, saveMetadataDebounced } from './scripts/extensions.js';
 import { COMMENT_NAME_DEFAULT, executeSlashCommandsOnChatInput, getSlashCommandsHelp, initDefaultSlashCommands, isExecutingCommandsFromChatInput, pauseScriptExecution, processChatSlashCommands, stopScriptExecution } from './scripts/slash-commands.js';
 import {
     tag_map,

 import { hideLoader, showLoader } from './scripts/loader.js';
 import { BulkEditOverlay, CharacterContextMenu } from './scripts/BulkEditOverlay.js';
 import { loadFeatherlessModels, loadMancerModels, loadOllamaModels, loadTogetherAIModels, loadInfermaticAIModels, loadOpenRouterModels, loadVllmModels, loadAphroditeModels, loadDreamGenModels, initTextGenModels, loadTabbyModels, loadGenericModels } from './scripts/textgen-models.js';
-import { appendFileContent, hasPendingFileAttachment, populateFileAttachment, decodeStyleTags, encodeStyleTags, isExternalMediaAllowed, getCurrentEntityId, preserveNeutralChat, restoreNeutralChat } from './scripts/chats.js';
+import { appendFileContent, hasPendingFileAttachment, populateFileAttachment, decodeStyleTags, encodeStyleTags, isExternalMediaAllowed, getCurrentEntityId, preserveNeutralChat, restoreNeutralChat, formatCreatorNotes, initChatUtilities } from './scripts/chats.js';
 import { getPresetManager, initPresetManager } from './scripts/preset-manager.js';
 import { evaluateMacros, getLastMessageId, initMacros } from './scripts/macros.js';
 import { currentUser, setUserControls } from './scripts/user.js';

 import { getContext } from './scripts/st-context.js';
 import { extractReasoningFromData, initReasoning, parseReasoningInSwipes, PromptReasoning, ReasoningHandler, removeReasoningFromString, updateReasoningUI } from './scripts/reasoning.js';
 import { accountStorage } from './scripts/util/AccountStorage.js';
+import { initWelcomeScreen, openPermanentAssistantChat, openPermanentAssistantCard, getPermanentAssistantAvatar } from './scripts/welcome-screen.js';
 // API OBJECT FOR EXTERNAL WIRING
 globalThis.SillyTavern = {

+    }
 });
-showLoader();
 // Configure toast library:
-toastr.options.escapeHtml = true; // Prevent raw HTML inserts
+toastr.options = {
-toastr.options.timeOut = 4000; // How long the toast will display without user interaction
+    closeButton: false,
-toastr.options.extendedTimeOut = 10000; // How long the toast will display after a user hovers over it
+    progressBar: false,
-toastr.options.progressBar = true; // Visually indicate how long before a toast expires.
+    showDuration: 250,
-toastr.options.closeButton = true; // enable a close button
+    hideDuration: 250,
-toastr.options.positionClass = 'toast-top-center'; // Where to position the toast container
+    timeOut: 4000,
-toastr.options.onHidden = () => {
+    extendedTimeOut: 10000,
-    // If we have any dialog still open, the last "hidden" toastr will remove the toastr-container. We need to keep it alive inside the dialog though
+    showEasing: 'linear',
-    // so the toasts still show up inside there.
+    hideEasing: 'linear',
-    fixToastrForDialogs();
+    showMethod: 'fadeIn',
+    hideMethod: 'fadeOut',
+    escapeHtml: true,
+    onHidden: function () {
+        // If we have any dialog still open, the last "hidden" toastr will remove the toastr-container. We need to keep it alive inside the dialog though
+        // so the toasts still show up inside there.
+        fixToastrForDialogs();
+    },
+    onShown: function () {
+        // Set tooltip to the notification message
+        $(this).attr('title', t`Tap to close`);
+    },
 };
 // Allow target="_blank" in links

     // Replace line breaks with <br> in unknown elements
     if (node instanceof HTMLUnknownElement) {
-        node.innerHTML = node.innerHTML.replaceAll('\n', '<br>');
+        node.innerHTML = node.innerHTML.trim().replaceAll('\n', '<br>');
+    }
     const isMediaAllowed = isExternalMediaAllowed();

 });
 // Event source init
+//MARK: event_types
 export const event_types = {
     APP_READY: 'app_ready',
     EXTRAS_CONNECTED: 'extras_connected',

     CONNECTION_PROFILE_UPDATED: 'connection_profile_updated',
     TOOL_CALLS_PERFORMED: 'tool_calls_performed',
     TOOL_CALLS_RENDERED: 'tool_calls_rendered',
+    CHARACTER_MANAGEMENT_DROPDOWN: 'charManagementDropdown',
 };
 export const eventSource = new EventEmitter([event_types.APP_READY]);

 // Markdown converter
 export let mesForShowdownParse; //intended to be used as a context to compare showdown strings against
 /** @type {import('showdown').Converter} */
-let converter;
+export let converter;
 // array for prompt token calculations
 console.debug('initializing Prompt Itemization Array on Startup');

 let firstRun = false;
 let settingsReady = false;
 let currentVersion = '0.0.0';
-let displayVersion = 'SillyTavern';
+export let displayVersion = 'SillyTavern';
 let generatedPromptCache = '';
 let generation_started = new Date();

     MACROS: 'macros',
     WELCOME_PROMPT: 'welcome_prompt',
     ASSISTANT_NOTE: 'assistant_note',
+    ASSISTANT_MESSAGE: 'assistant_message',
 };
 /**

             force_avatar: system_avatar,
             is_user: false,
             is_system: true,
+            uses_system_ui: true,
             mes: await renderTemplateAsync('welcomePrompt'),
             extra: {
                 isSmallSys: true,

 export async function pingServer() {
     try {
         const result = await fetch('api/ping', {
-            method: 'GET',
+            method: 'POST',
             headers: getRequestHeaders(),
         });

+    }
+}
+//MARK: firstLoadInit
 async function firstLoadInit() {
     try {
         const tokenResponse = await fetch('/csrf-token');
         const tokenData = await tokenResponse.json();
         token = tokenData.token;
     } catch {
-        hideLoader();
         toastr.error(t`Couldn't get CSRF token. Please refresh the page.`, t`Error`, { timeOut: 0, extendedTimeOut: 0, preventDuplicates: true });
         throw new Error('Initialization failed');
+    }
+    showLoader();
     initLibraryShims();
     addShowdownPatch(showdown);
     reloadMarkdownProcessor();

     await getClientVersion();
     await readSecretState();
     await initLocales();
+    initChatUtilities();
     initDefaultSlashCommands();
     initTextGenModels();
     initOpenAI();

     ToolManager.initToolSlashCommands();
     await initPresetManager();
     await getSystemMessages();
-    sendSystemMessage(system_message_types.WELCOME);
-    sendSystemMessage(system_message_types.WELCOME_PROMPT);
     await getSettings();
     initKeyboard();
     initDynamicStyles();

     initSettingsSearch();
     initBulkEdit();
     initReasoning();
+    initWelcomeScreen();
     await initScrapers();
+    initCustomSelectedSamplers();
+    addDebugFunctions();
     doDailyExtensionUpdatesCheck();
     await hideLoader();
     await fixViewport();

     template.toggleClass('is_fav', item.fav || item.fav == 'true');
     template.find('.ch_fav').val(item.fav);
+    const isAssistant = item.avatar === getPermanentAssistantAvatar();
+    if (!isAssistant) {
+        template.find('.ch_assistant').remove();
+    }
     const description = item.data?.creator_notes || '';
     if (description) {
         template.find('.ch_description').text(description);

     // Display inline tags
     const tagsElement = template.find('.tags');
-    printTagList(tagsElement, { forEntityOrKey: id });
+    printTagList(tagsElement, { forEntityOrKey: id, tagOptions: { isCharacterList: true } });
     // Add to the list
     return template;

+    }
+}
+/**
+ * Cancels the debounced chat save if it is currently pending.
+ */
+export function cancelDebouncedChatSave() {
+    if (chatSaveTimeout) {
+        console.debug('Debounced chat save cancelled');
+        clearTimeout(chatSaveTimeout);
+        chatSaveTimeout = null;
+    }
+}
 export async function clearChat() {
+    cancelDebouncedChatSave();
+    cancelDebouncedMetadataSave();
     closeMessageEditor();
     extension_prompts = {};
     if (is_delete_mode) {

@@ -2038,7 +2073,7 @@ export async function sendTextareaMessage() {
2038	}	2073	}
2039		2074
2040	if (textareaText && !selected_group && this_chid === undefined && name2 !== neutralCharacterName) {	2075	if (textareaText && !selected_group && this_chid === undefined && name2 !== neutralCharacterName) {
2041	await newAssistantChat();	2076	await newAssistantChat({ temporary: false });
2042	}	2077	}
2043		2078
2044	Generate(generateType);	2079	Generate(generateType);

     };
     mes = encodeStyleTags(mes);
     mes = DOMPurify.sanitize(mes, config);
-    mes = decodeStyleTags(mes);
+    mes = decodeStyleTags(mes, { prefix: '.mes_text ' });
     return mes;
+}

     timestamp,
     tokenCount,
     extra,
+    type,
 }) {
     const mes = messageTemplate.clone();
     mes.attr({

         'bookmark_link': bookmarkLink,
         'force_avatar': !!forceAvatar,
         'timestamp': timestamp,
+        ...(type ? { type } : {}),
     });
     mes.find('.avatar img').attr('src', avatarImg);
     mes.find('.ch_name .name_text').text(characterName);

         timestamp: timestamp,
         extra: mes.extra,
         tokenCount: mes.extra?.token_count ?? 0,
+        type: mes.extra?.type ?? '',
         ...formatGenerationTimer(mes.gen_started, mes.gen_finished, mes.extra?.token_count, mes.extra?.reasoning_duration, mes.extra?.time_to_first_token),
     };

     return true;
+}
-export function sendSystemMessage(type, text, extra = {}) {
+/**
+ * Gets a system message by type.
+ * @param {string} type Type of system message
+ * @param {string} [text] Text to be sent
+ * @param {object} [extra] Additional data to be added to the message
+ * @returns {object} System message object
+ */
+export function getSystemMessageByType(type, text, extra = {}) {
     const systemMessage = system_messages[type];
     if (!systemMessage) {

     newMessage.extra = Object.assign(newMessage.extra, extra);
     newMessage.extra.type = type;
+    return newMessage;
+}
+/**
+ * Sends a system message to the chat.
+ * @param {string} type Type of system message
+ * @param {string} [text] Text to be sent
+ * @param {object} [extra] Additional data to be added to the message
+ */
+export function sendSystemMessage(type, text, extra = {}) {
+    const newMessage = getSystemMessageByType(type, text, extra);
     chat.push(newMessage);
     addOneMessage(newMessage);
     is_send_press = false;

+}
 /**
+ * MARK:Generate()
  * Runs a generation using the current chat context.
  * @param {string} type Generation type
  * @param {GenerateOptions} options Generation options

     console.log(`Core/all messages: ${coreChat.length}/${chat.length}`);
-    // kingbri MARK: - Make sure the prompt bias isn't the same as the user bias
     if ((promptBias && !isUserPromptBias) || power_user.always_force_name2 || main_api == 'novel') {
         force_name2 = true;
+    }

                 name2: name2,
                 charDescription: description,
                 charPersonality: personality,
-                Scenario: scenario,
+                scenario: scenario,
                 worldInfoBefore: worldInfoBefore,
                 worldInfoAfter: worldInfoAfter,
                 extensionPrompts: extension_prompts,

@@ -5123,6 +5178,7 @@ export async function Generate(type, { automatic_trigger, force_name2, quiet_pro
5123	throw exception;	5178	throw exception;
5124	}	5179	}
5125	}	5180	}
		5181	//MARK: Generate() ends
5126		5182
5127	/**	5183	/**
5128	* Stops the generation and any streaming if it is currently running.	5184	* Stops the generation and any streaming if it is currently running.

     switch (mainApi ?? main_api) {
         case 'openai': {
             switch (chatCompletionSource ?? oai_settings.chat_completion_source) {
+                case chat_completion_sources.VERTEXAI:
                 case chat_completion_sources.MAKERSUITE: {
                     const inlineData = data?.responseContent?.parts?.find(x => x.inlineData)?.inlineData;
                     if (inlineData) {

     const chid = this_chid;
     const selectedGroup = selected_group;
-    if (chatSaveTimeout) {
+    cancelDebouncedChatSave();
-        console.debug('Clearing chat save timeout');
-        clearTimeout(chatSaveTimeout);
-        chatSaveTimeout = null;
-    }
     chatSaveTimeout = setTimeout(async () => {
         if (selectedGroup !== selected_group) {

+}
 export async function openCharacterChat(file_name) {
+    await waitUntilCondition(() => !isChatSaving, debounce_timeout.extended, 10);
     await clearChat();
     characters[this_chid]['chat'] = file_name;
     chat.length = 0;

@@ -7437,7 +7491,7 @@ function reloadLoop() {
7437	}	7491	}
7438	}	7492	}
7439		7493
7440	//*************SETTINGS**************//	7494	//MARK: getSettings()
7441	///////////////////////////////////////////	7495	///////////////////////////////////////////
7442	export async function getSettings() {	7496	export async function getSettings() {
7443	const response = await fetch('/api/settings/get', {	7497	const response = await fetch('/api/settings/get', {

         .trigger('change');
+}
+//MARK: saveSettings()
 export async function saveSettings(loopCounter = 0) {
     if (!settingsReady) {
         console.warn('Settings not ready, scheduling another save');

     $('#description_textarea').val(characters[chid].description);
     $('#character_world').val(characters[chid].data?.extensions?.world || '');
     $('#creator_notes_textarea').val(characters[chid].data?.creator_notes || characters[chid].creatorcomment);
-    $('#creator_notes_spoiler').html(DOMPurify.sanitize(converter.makeHtml(substituteParams(characters[chid].data?.creator_notes) || characters[chid].creatorcomment), { MESSAGE_SANITIZE: true }));
+    $('#creator_notes_spoiler').html(formatCreatorNotes(characters[chid].data?.creator_notes || characters[chid].creatorcomment, characters[chid].avatar));
     $('#character_version_textarea').val(characters[chid].data?.character_version || '');
     $('#system_prompt_textarea').val(characters[chid].data?.system_prompt || '');
     $('#post_history_instructions_textarea').val(characters[chid].data?.post_history_instructions || '');

     $('#description_textarea').val(create_save.description);
     $('#character_world').val(create_save.world);
     $('#creator_notes_textarea').val(create_save.creator_notes);
-    $('#creator_notes_spoiler').html(DOMPurify.sanitize(converter.makeHtml(create_save.creator_notes), { MESSAGE_SANITIZE: true }));
+    $('#creator_notes_spoiler').html(formatCreatorNotes(create_save.creator_notes, ''));
     $('#post_history_instructions_textarea').val(create_save.post_history_instructions);
     $('#system_prompt_textarea').val(create_save.system_prompt);
     $('#tags_textarea').val(create_save.tags);

+    }
     try {
-        if (chatSaveTimeout) {
+        cancelDebouncedChatSave();
-            console.debug('Debounced chat save canceled');
-            clearTimeout(chatSaveTimeout);
-            chatSaveTimeout = null;
-        }
         isChatSaving = true;

  * @param {string} [params.source] The source of the swipe event.
  * @param {boolean} [params.repeated] Is the swipe event repeated.
  */
+//MARK: swipe_right
 export function swipe_right(_event, { source, repeated } = {}) {
     if (chat.length - 1 === Number(this_edit_mes_id)) {
         closeMessageEditor();

+    }
     //Fix it; New chat doesn't create while open create character menu
+    await waitUntilCondition(() => !isChatSaving, debounce_timeout.extended, 10);
     await clearChat();
     chat.length = 0;

     saveSettingsDebounced();
+}
-async function newAssistantChat() {
+/**
+ * Creates a new assistant chat.
+ * @param {object} params - Parameters for the new assistant chat
+ * @param {boolean} [params.temporary=false] I need a temporary secretary
+ * @returns {Promise<void>} - A promise that resolves when the new assistant chat is created
+ */
+export async function newAssistantChat({ temporary = false } = {}) {
     await clearChat();
+    if (!temporary) {
+        return openPermanentAssistantChat();
+    }
     chat.splice(0, chat.length);
     chat_metadata = {};
     setCharacterName(neutralCharacterName);

     });
+}
+// MARK: DOM Handlers Start
 jQuery(async function () {
     async function doForceSave() {
         await saveSettings();

                     if (chatId) {
                         return reject('Not in a temporary chat');
+                    }
-                    await newAssistantChat();
+                    await newAssistantChat({ temporary: true });
                     return resolve('');
                 };
                 eventSource.once(event_types.CHAT_CHANGED, eventCallback);

         });
         if (id == 'option_select_chat') {
+            if (this_chid === undefined && !is_send_press && !selected_group) {
+                await openPermanentAssistantCard();
+            }
             if ((selected_group && !is_group_generating) || (this_chid !== undefined && !is_send_press) || fromSlashCommand) {
                 await displayPastChats();
                 //this is just to avoid the shadow for past chat view when using /delchat

@@ -11121,7 +11188,7 @@ jQuery(async function () {
11121	await doNewChat({ deleteCurrentChat: deleteCurrentChat });	11188	await doNewChat({ deleteCurrentChat: deleteCurrentChat });
11122	}	11189	}
11123	if (!selected_group && this_chid === undefined && !is_send_press) {	11190	if (!selected_group && this_chid === undefined && !is_send_press) {
11124	await newAssistantChat();	11191	await newAssistantChat({ temporary: true });
11125	}	11192	}
11126	}	11193	}
11127		11194

         else if (id == 'option_close_chat') {
             if (is_send_press == false) {
+                await waitUntilCondition(() => !isChatSaving, debounce_timeout.extended, 10);
                 await clearChat();
                 chat.length = 0;
                 resetSelectedGroup();

                 selected_button = 'characters';
                 $('#rm_button_selected_ch').children('h2').text('');
                 select_rm_characters();
-                sendSystemMessage(system_message_types.WELCOME);
-                sendSystemMessage(system_message_types.WELCOME_PROMPT);
-                await getClientVersion();
                 await eventSource.emit(event_types.CHAT_CHANGED, getCurrentChatId());
             } else {
-                toastr.info('Please stop the message generation first.');
+                toastr.info(t`Please stop the message generation first.`);
+            }
+        }

             $(`.mes[mesid="${this_del_mes}"]`).nextAll('div').remove();
             $(`.mes[mesid="${this_del_mes}"]`).remove();
             chat.length = this_del_mes;
+            chat_metadata['tainted'] = true;
             await saveChatConditional();
             chatElement.scrollTop(chatElement[0].scrollHeight);
             await eventSource.emit(event_types.MESSAGE_DELETED, chat.length);

         let startFromZero = Number(this_edit_mes_id) === 0;
         this_edit_mes_id = undefined;
+        chat_metadata['tainted'] = true;
         updateViewMessageIds(startFromZero);
         saveChatDebounced();

                 );
                 break;*/
             default:
-                await eventSource.emit('charManagementDropdown', target);
+                await eventSource.emit(event_types.CHARACTER_MANAGEMENT_DROPDOWN, target);
+        }
         $('#char-management-dropdown').prop('selectedIndex', 0);
     });

     // Added here to prevent execution before script.js is loaded and get rid of quirky timeouts
     await firstLoadInit();
-    addDebugFunctions();
     eventSource.on(event_types.CHAT_DELETED, async (name) => {
         await deleteItemizedPrompts(name);
     });

         await deleteItemizedPrompts(name);
     });
-    initCustomSelectedSamplers();
     window.addEventListener('beforeunload', (e) => {
         if (isChatSaving) {
             e.preventDefault();

public/scripts/PromptManager.js+55 -9 Viewed

  * Represents a prompt.
  */
 class Prompt {
-    identifier; role; content; name; system_prompt; position; injection_position; injection_depth; forbid_overrides; extension;
+    identifier; role; content; name; system_prompt; position; injection_position; injection_depth; injection_order; forbid_overrides; extension;
     /**
      * Create a new Prompt instance.

      * @param {string} param0.identifier - The unique identifier of the prompt.
      * @param {string} param0.role - The role associated with the prompt.
      * @param {string} param0.content - The content of the prompt.
-     * @param {string} param0.name - The name of the prompt.
+     * @param {string} [param0.name] - The name of the prompt.
-     * @param {boolean} param0.system_prompt - Indicates if the prompt is a system prompt.
+     * @param {boolean} [param0.system_prompt] - Indicates if the prompt is a system prompt.
-     * @param {string} param0.position - The position of the prompt in the prompt list.
+     * @param {string} [param0.position] - The position of the prompt in the prompt list.
-     * @param {number} param0.injection_position - The insert position of the prompt.
+     * @param {number} [param0.injection_position] - The insert position of the prompt.
-     * @param {number} param0.injection_depth - The depth of the prompt in the chat.
+     * @param {number} [param0.injection_depth] - The depth of the prompt in the chat.
-     * @param {boolean} param0.forbid_overrides - Indicates if the prompt should not be overridden.
+     * @param {number} [param0.injection_order] - The order of the prompt in the chat.
-     * @param {boolean} param0.extension - Prompt is added by an extension.
+     * @param {boolean} [param0.forbid_overrides] - Indicates if the prompt should not be overridden.
+     * @param {boolean} [param0.extension] - Prompt is added by an extension.
      */
-    constructor({ identifier, role, content, name, system_prompt, position, injection_depth, injection_position, forbid_overrides, extension } = {}) {
+    constructor({ identifier, role, content, name, system_prompt, position, injection_depth, injection_position, forbid_overrides, extension, injection_order } = {}) {
         this.identifier = identifier;
         this.role = role;
         this.content = content;

@@ -105,6 +106,7 @@ class Prompt {
105	this.injection_position = injection_position;	106	this.injection_position = injection_position;
106	this.forbid_overrides = forbid_overrides;	107	this.forbid_overrides = forbid_overrides;
107	this.extension = extension ?? false;	108	this.extension = extension ?? false;
		109	this.injection_order = injection_order ?? 100;
108	}	110	}
109	}	111	}
110		112

+}
 class PromptManager {
+    get promptSources() {
+        return {
+            charDescription: t`Character Description`,
+            charPersonality: t`Character Personality`,
+            scenario: t`Character Scenario`,
+            personaDescription: t`Persona Description`,
+            worldInfoBefore: t`World Info (↑Char)`,
+            worldInfoAfter: t`World Info (↓Char)`,
+        };
+    }
     constructor() {
         this.systemPrompts = [
             'main',

         this.handleResetPrompt = (event) => {
             const promptId = event.target.dataset.pmPrompt;
             const prompt = this.getPromptById(promptId);
+            const isPulledPrompt = Object.keys(this.promptSources).includes(promptId);
             switch (promptId) {
                 case 'main':

             document.getElementById(this.configuration.prefix + 'prompt_manager_popup_entry_form_prompt').value = prompt.content ?? '';
             document.getElementById(this.configuration.prefix + 'prompt_manager_popup_entry_form_injection_position').value = prompt.injection_position ?? 0;
             document.getElementById(this.configuration.prefix + 'prompt_manager_popup_entry_form_injection_depth').value = prompt.injection_depth ?? DEFAULT_DEPTH;
+            document.getElementById(this.configuration.prefix + 'prompt_manager_popup_entry_form_injection_order').value = prompt.injection_order ?? 100;
             document.getElementById(this.configuration.prefix + 'prompt_manager_depth_block').style.visibility = prompt.injection_position === INJECTION_POSITION.ABSOLUTE ? 'visible' : 'hidden';
+            document.getElementById(this.configuration.prefix + 'prompt_manager_order_block').style.visibility = prompt.injection_position === INJECTION_POSITION.ABSOLUTE ? 'visible' : 'hidden';
             document.getElementById(this.configuration.prefix + 'prompt_manager_popup_entry_form_forbid_overrides').checked = prompt.forbid_overrides ?? false;
             document.getElementById(this.configuration.prefix + 'prompt_manager_forbid_overrides_block').style.visibility = this.overridablePrompts.includes(prompt.identifier) ? 'visible' : 'hidden';
             document.getElementById(this.configuration.prefix + 'prompt_manager_popup_entry_form_prompt').disabled = prompt.marker ?? false;
+            document.getElementById(this.configuration.prefix + 'prompt_manager_popup_entry_source_block').style.display = isPulledPrompt ? '' : 'none';
+            if (isPulledPrompt) {
+                const sourceName = this.promptSources[promptId];
+                document.getElementById(this.configuration.prefix + 'prompt_manager_popup_entry_source').textContent = sourceName;
+            }
             if (!this.systemPrompts.includes(promptId)) {
                 document.getElementById(this.configuration.prefix + 'prompt_manager_popup_entry_form_injection_position').removeAttribute('disabled');

         // Clear forms on closing the popup
         document.getElementById(this.configuration.prefix + 'prompt_manager_popup_entry_form_close').addEventListener('click', closeAndClearPopup);
         document.getElementById(this.configuration.prefix + 'prompt_manager_popup_close_button').addEventListener('click', closeAndClearPopup);
+        closeAndClearPopup();
         // Re-render prompt manager on openai preset change
         eventSource.on(event_types.OAI_PRESET_CHANGED_AFTER, () => {

         prompt.content = document.getElementById(this.configuration.prefix + 'prompt_manager_popup_entry_form_prompt').value;
         prompt.injection_position = Number(document.getElementById(this.configuration.prefix + 'prompt_manager_popup_entry_form_injection_position').value);
         prompt.injection_depth = Number(document.getElementById(this.configuration.prefix + 'prompt_manager_popup_entry_form_injection_depth').value);
+        prompt.injection_order = Number(document.getElementById(this.configuration.prefix + 'prompt_manager_popup_entry_form_injection_order').value);
         prompt.forbid_overrides = document.getElementById(this.configuration.prefix + 'prompt_manager_popup_entry_form_forbid_overrides').checked;
+    }

         const promptField = document.getElementById(this.configuration.prefix + 'prompt_manager_popup_entry_form_prompt');
         const injectionPositionField = document.getElementById(this.configuration.prefix + 'prompt_manager_popup_entry_form_injection_position');
         const injectionDepthField = document.getElementById(this.configuration.prefix + 'prompt_manager_popup_entry_form_injection_depth');
+        const injectionOrderField = document.getElementById(this.configuration.prefix + 'prompt_manager_popup_entry_form_injection_order');
         const injectionDepthBlock = document.getElementById(this.configuration.prefix + 'prompt_manager_depth_block');
+        const injectionOrderBlock = document.getElementById(this.configuration.prefix + 'prompt_manager_order_block');
         const forbidOverridesField = document.getElementById(this.configuration.prefix + 'prompt_manager_popup_entry_form_forbid_overrides');
         const forbidOverridesBlock = document.getElementById(this.configuration.prefix + 'prompt_manager_forbid_overrides_block');
+        const entrySourceBlock = document.getElementById(this.configuration.prefix + 'prompt_manager_popup_entry_source_block');
+        const entrySource = document.getElementById(this.configuration.prefix + 'prompt_manager_popup_entry_source');
+        const isPulledPrompt = Object.keys(this.promptSources).includes(prompt.identifier);
         nameField.value = prompt.name ?? '';
         roleField.value = prompt.role || 'system';

         promptField.disabled = prompt.marker ?? false;
         injectionPositionField.value = prompt.injection_position ?? INJECTION_POSITION.RELATIVE;
         injectionDepthField.value = prompt.injection_depth ?? DEFAULT_DEPTH;
+        injectionOrderField.value = prompt.injection_order ?? 100;
         injectionDepthBlock.style.visibility = prompt.injection_position === INJECTION_POSITION.ABSOLUTE ? 'visible' : 'hidden';
+        injectionOrderBlock.style.visibility = prompt.injection_position === INJECTION_POSITION.ABSOLUTE ? 'visible' : 'hidden';
         injectionPositionField.removeAttribute('disabled');
         forbidOverridesField.checked = prompt.forbid_overrides ?? false;
         forbidOverridesBlock.style.visibility = this.overridablePrompts.includes(prompt.identifier) ? 'visible' : 'hidden';
+        entrySourceBlock.style.display = isPulledPrompt ? '' : 'none';
+        if (isPulledPrompt) {
+            const sourceName = this.promptSources[prompt.identifier];
+            entrySource.textContent = sourceName;
+        }
         if (this.systemPrompts.includes(prompt.identifier)) {
             injectionPositionField.setAttribute('disabled', 'disabled');

     handleInjectionPositionChange(event) {
         const injectionDepthBlock = document.getElementById(this.configuration.prefix + 'prompt_manager_depth_block');
+        const injectionOrderBlock = document.getElementById(this.configuration.prefix + 'prompt_manager_order_block');
         const injectionPosition = Number(event.target.value);
         if (injectionPosition === INJECTION_POSITION.ABSOLUTE) {
             injectionDepthBlock.style.visibility = 'visible';
+            injectionOrderBlock.style.visibility = 'visible';
         } else {
             injectionDepthBlock.style.visibility = 'hidden';
+            injectionOrderBlock.style.visibility = 'hidden';
+        }
+    }

         const injectionPositionField = document.getElementById(this.configuration.prefix + 'prompt_manager_popup_entry_form_injection_position');
         const injectionDepthField = document.getElementById(this.configuration.prefix + 'prompt_manager_popup_entry_form_injection_depth');
         const injectionDepthBlock = document.getElementById(this.configuration.prefix + 'prompt_manager_depth_block');
+        const injectionOrderBlock = document.getElementById(this.configuration.prefix + 'prompt_manager_order_block');
         const forbidOverridesField = document.getElementById(this.configuration.prefix + 'prompt_manager_popup_entry_form_forbid_overrides');
         const forbidOverridesBlock = document.getElementById(this.configuration.prefix + 'prompt_manager_forbid_overrides_block');
+        const entrySourceBlock = document.getElementById(this.configuration.prefix + 'prompt_manager_popup_entry_source_block');
+        const entrySource = document.getElementById(this.configuration.prefix + 'prompt_manager_popup_entry_source');
         nameField.value = '';
         roleField.selectedIndex = 0;

         injectionPositionField.removeAttribute('disabled');
         injectionDepthField.value = DEFAULT_DEPTH;
         injectionDepthBlock.style.visibility = 'unset';
+        injectionOrderBlock.style.visibility = 'unset';
         forbidOverridesBlock.style.visibility = 'unset';
         forbidOverridesField.checked = false;
+        entrySourceBlock.style.display = 'none';
+        entrySource.textContent = '';
         roleField.disabled = false;
+    }

public/scripts/RossAscends-mods.js+2 -0 Viewed

                     || (secret_state[SECRET_KEYS.OPENROUTER] && oai_settings.chat_completion_source == chat_completion_sources.OPENROUTER)
                     || (secret_state[SECRET_KEYS.AI21] && oai_settings.chat_completion_source == chat_completion_sources.AI21)
                     || (secret_state[SECRET_KEYS.MAKERSUITE] && oai_settings.chat_completion_source == chat_completion_sources.MAKERSUITE)
+                    || (secret_state[SECRET_KEYS.VERTEXAI] && oai_settings.chat_completion_source == chat_completion_sources.VERTEXAI)
                     || (secret_state[SECRET_KEYS.MISTRALAI] && oai_settings.chat_completion_source == chat_completion_sources.MISTRALAI)
                     || (secret_state[SECRET_KEYS.COHERE] && oai_settings.chat_completion_source == chat_completion_sources.COHERE)
                     || (secret_state[SECRET_KEYS.PERPLEXITY] && oai_settings.chat_completion_source == chat_completion_sources.PERPLEXITY)

                     || (secret_state[SECRET_KEYS.NANOGPT] && oai_settings.chat_completion_source == chat_completion_sources.NANOGPT)
                     || (secret_state[SECRET_KEYS.DEEPSEEK] && oai_settings.chat_completion_source == chat_completion_sources.DEEPSEEK)
                     || (secret_state[SECRET_KEYS.XAI] && oai_settings.chat_completion_source == chat_completion_sources.XAI)
+                    || (oai_settings.chat_completion_source === chat_completion_sources.POLLINATIONS)
                     || (isValidUrl(oai_settings.custom_url) && oai_settings.chat_completion_source == chat_completion_sources.CUSTOM)
                 ) {
                     $('#api_button_openai').trigger('click');

public/scripts/chat-templates.js+10 -6 Viewed

         // Mistral-Large-Instruct-2407
         'Mistral V2 & V3'
+    ,
-    '3c4ad5fa60dd8c7ccdf82fa4225864c903e107728fcaf859fa6052cb80c92ee9':
+    '26a59556925c987317ce5291811ba3b7f32ec4c647c400c6cc7e3a9993007ba7':
-        // Mistral-Large-Instruct-2411
+        // Mistral-7B-Instruct-v0.3
-        'Mistral V7' // https://huggingface.co/mistralai/Mistral-Large-Instruct-2411
+        'Mistral V2 & V3'
+    ,
     'e4676cb56dffea7782fd3e2b577cfaf1e123537e6ef49b3ec7caa6c095c62272':
         // Mistral-Nemo-Instruct-2407
         'Mistral V3-Tekken'
+    ,
-    '26a59556925c987317ce5291811ba3b7f32ec4c647c400c6cc7e3a9993007ba7':
+    '3c4ad5fa60dd8c7ccdf82fa4225864c903e107728fcaf859fa6052cb80c92ee9':
-        // Mistral-7B-Instruct-v0.3
+        // Mistral-Large-Instruct-2411
-        'Mistral V2 & V3'
+        'Mistral V7'
+    ,
+    '3934d199bfe5b6fab5cba1b5f8ee475e8d5738ac315f21cb09545b4e665cc005':
+        // Mistral Small 24B
+        'Mistral V7'
+    ,
     // Gemma

public/scripts/chats.js+253 -12 Viewed

 // Move chat functions here from script.js (eventually)
-import { Popper, css } from '../lib.js';
+import { Popper, css, DOMPurify } from '../lib.js';
 import {
     addCopyToCodeBlocks,
     appendMediaToMessage,

     neutralCharacterName,
     updateChatMetadata,
     system_message_types,
+    converter,
+    substituteParams,
+    getSystemMessageByType,
+    printMessages,
+    clearChat,
 } from '../script.js';
 import { selected_group } from './group-chats.js';
 import { power_user } from './power-user.js';

     saveBase64AsFile,
     extractTextFromOffice,
     download,
+    getFileText,
 } from './utils.js';
 import { extension_settings, renderExtensionTemplateAsync, saveMetadataDebounced } from './extensions.js';
 import { POPUP_RESULT, POPUP_TYPE, Popup, callGenericPopup } from './popup.js';

     $('#file_form .file_size').text(humanFileSize(file.size));
     $('#file_form').removeClass('displayNone');
-    // Reset form on chat change
+    // Reset form on chat change (if not on a welcome screen)
-    eventSource.once(event_types.CHAT_CHANGED, () => {
+    const currentChatId = getCurrentChatId();
-        $('#file_form').trigger('reset');
+    if (currentChatId) {
-    });
+        eventSource.once(event_types.CHAT_CHANGED, () => {
+            $('#file_form').trigger('reset');
+        });
+    }
+}
 /**

 /**
  * Sanitizes custom style tags in the message text to prevent DOM pollution.
  * @param {string} text Message text
+ * @param {object} options Options object
+ * @param {string} options.prefix Prefix the selectors with this value
  * @returns {string} Sanitized message text
  * @copyright https://github.com/kwaroran/risuAI
  */
-export function decodeStyleTags(text) {
+export function decodeStyleTags(text, { prefix } = { prefix: '.mes_text ' }) {
     const styleDecodeRegex = /<custom-style>(.+?)<\/custom-style>/gms;
     const mediaAllowed = isExternalMediaAllowed();

@@ -487,7 +498,7 @@ export function decodeStyleTags(text) {
487	return v;	498	return v;
488	}).join(' ');	499	}).join(' ');
489		500
490	rule.selectors[i] = '.mes_text ' + selectors;	501	rule.selectors[i] = prefix + selectors;
491	}	502	}
492	}	503	}
493	}	504	}

     });
+}
+/**
+ * Class to manage style preferences for characters.
+ */
+class StylesPreference {
+    /**
+     * Creates a new StylesPreference instance.
+     * @param {string|null} avatarId - The avatar ID of the character
+     */
+    constructor(avatarId) {
+        this.avatarId = avatarId;
+    }
+    /**
+     * Gets the account storage key for the style preference.
+     */
+    get key() {
+        return `AllowGlobalStyles-${this.avatarId}`;
+    }
+    /**
+     * Checks if a preference exists for this character.
+     * @returns {boolean} True if preference exists, false otherwise
+     */
+    exists() {
+        return this.avatarId
+            ? accountStorage.getItem(this.key) !== null
+            : true; // No character == assume preference is set
+    }
+    /**
+     * Gets the current style preference.
+     * @returns {boolean} True if global styles are allowed, false otherwise
+     */
+    get() {
+        return this.avatarId
+            ? accountStorage.getItem(this.key) === 'true'
+            : false; // Always disabled when creating a new character
+    }
+    /**
+     * Sets the global styles preference.
+     * @param {boolean} allowed - Whether global styles are allowed
+     */
+    set(allowed) {
+        if (this.avatarId) {
+            accountStorage.setItem(this.key, String(allowed));
+        }
+    }
+}
+/**
+ * Formats creator notes in the message text.
+ * @param {string} text Raw Markdown text
+ * @param {string} avatarId Avatar ID
+ * @returns {string} Formatted HTML text
+ */
+export function formatCreatorNotes(text, avatarId) {
+    const preference = new StylesPreference(avatarId);
+    const sanitizeStyles = !preference.get();
+    const decodeStyleParam = { prefix: sanitizeStyles ? '#creator_notes_spoiler ' : '' };
+    /** @type {import('dompurify').Config & { MESSAGE_SANITIZE: boolean }} */
+    const config = {
+        RETURN_DOM: false,
+        RETURN_DOM_FRAGMENT: false,
+        RETURN_TRUSTED_TYPE: false,
+        MESSAGE_SANITIZE: true,
+        ADD_TAGS: ['custom-style'],
+    };
+    let html = converter.makeHtml(substituteParams(text));
+    html = encodeStyleTags(html);
+    html = DOMPurify.sanitize(html, config);
+    html = decodeStyleTags(html, decodeStyleParam);
+    return html;
+}
+async function openGlobalStylesPreferenceDialog() {
+    if (selected_group) {
+        toastr.info(t`To change the global styles preference, please select a character individually.`);
+        return;
+    }
+    const entityId = getCurrentEntityId();
+    const preference = new StylesPreference(entityId);
+    const currentValue = preference.get();
+    const template = $(await renderTemplateAsync('globalStylesPreference'));
+    const allowedRadio = template.find('#global_styles_allowed');
+    const forbiddenRadio = template.find('#global_styles_forbidden');
+    allowedRadio.on('change', () => {
+        preference.set(true);
+        allowedRadio.prop('checked', true);
+        forbiddenRadio.prop('checked', false);
+    });
+    forbiddenRadio.on('change', () => {
+        preference.set(false);
+        allowedRadio.prop('checked', false);
+        forbiddenRadio.prop('checked', true);
+    });
+    const currentPreferenceRadio = currentValue ? allowedRadio : forbiddenRadio;
+    template.find(currentPreferenceRadio).prop('checked', true);
+    await callGenericPopup(template, POPUP_TYPE.TEXT, '', { wide: false, large: false });
+    // Re-render the notes if the preference changed
+    const newValue = preference.get();
+    if (newValue !== currentValue) {
+        $('#rm_button_selected_ch').trigger('click');
+        setGlobalStylesButtonClass(newValue);
+    }
+}
+async function checkForCreatorNotesStyles() {
+    // Don't do anything if in group chat or not in a chat
+    if (selected_group || this_chid === undefined) {
+        return;
+    }
+    const notes = characters[this_chid].data?.creator_notes || characters[this_chid].creatorcomment;
+    const avatarId = characters[this_chid].avatar;
+    const styleContents = getStyleContentsFromMarkdown(notes);
+    if (!styleContents) {
+        setGlobalStylesButtonClass(null);
+        return;
+    }
+    const preference = new StylesPreference(avatarId);
+    const hasPreference = preference.exists();
+    if (!hasPreference) {
+        const template = $(await renderTemplateAsync('globalStylesPopup'));
+        template.find('textarea').val(styleContents);
+        const confirmResult = await callGenericPopup(template, POPUP_TYPE.CONFIRM, '', {
+            wide: false,
+            large: false,
+            okButton: t`Just to Creator's Notes`,
+            cancelButton: t`Apply to the entire app`,
+        });
+        switch (confirmResult) {
+            case POPUP_RESULT.AFFIRMATIVE:
+                preference.set(false);
+                break;
+            case POPUP_RESULT.NEGATIVE:
+                preference.set(true);
+                break;
+            case POPUP_RESULT.CANCELLED:
+                preference.set(false);
+                break;
+        }
+        $('#rm_button_selected_ch').trigger('click');
+    }
+    const currentPreference = preference.get();
+    setGlobalStylesButtonClass(currentPreference);
+}
+/**
+ * Sets the class of the global styles button based on the state.
+ * @param {boolean|null} state State of the button
+ */
+function setGlobalStylesButtonClass(state) {
+    const button = $('#creators_note_styles_button');
+    button.toggleClass('empty', state === null);
+    button.toggleClass('allowed', state === true);
+    button.toggleClass('forbidden', state === false);
+}
+/**
+ * Extracts the contents of all style elements from the Markdown text.
+ * @param {string} text Markdown text
+ * @returns {string} The joined contents of all style elements
+ */
+function getStyleContentsFromMarkdown(text) {
+    if (!text) {
+        return '';
+    }
+    const div = document.createElement('div');
+    const html = converter.makeHtml(substituteParams(text));
+    div.innerHTML = html;
+    const styleElements = Array.from(div.querySelectorAll('style'));
+    return styleElements
+        .filter(s => s.textContent.trim().length > 0)
+        .map(s => s.textContent.trim())
+        .join('\n\n');
+}
 async function openExternalMediaOverridesDialog() {
     const entityId = getCurrentEntityId();

                 popper.update();
             });
-            return [popper, bodyListener];
+            return { popper, bodyListener };
         }).filter(Boolean);
         return () => {
             modalButtonData.forEach(p => {
-                const [popper, bodyListener] = p;
+                const { popper,bodyListener } = p;
                 popper.destroy();
                 document.body.removeEventListener('click', bodyListener);
             });

     converters[mimeType] = converter;
+}
-jQuery(function () {
+export function initChatUtilities() {
     $(document).on('click', '.mes_hide', async function () {
         const messageBlock = $(this).closest('.mes');
         const messageId = Number(messageBlock.attr('mesid'));

         download(chatToSave.map((m) => JSON.stringify(m)).join('\n'), `Assistant - ${humanizedDateTime()}.jsonl`, 'application/json');
     });
+    $(document).on('click', '.assistant_note_import', async function () {
+        const importFile = async () => {
+            const file = fileInput.files[0];
+            if (!file) {
+                return;
+            }
+            try {
+                const text = await getFileText(file);
+                const lines = text.split('\n').filter(line => line.trim() !== '');
+                const messages = lines.map(line => JSON.parse(line));
+                const metadata = messages.shift()?.chat_metadata || {};
+                messages.unshift(getSystemMessageByType(system_message_types.ASSISTANT_NOTE));
+                await clearChat();
+                chat.splice(0, chat.length, ...messages);
+                updateChatMetadata(metadata, true);
+                await printMessages();
+            } catch (error) {
+                console.error('Error importing assistant chat:', error);
+                toastr.error(t`It's either corrupted or not a valid JSONL file.`, t`Failed to import chat`);
+            }
+        };
+        const fileInput = document.createElement('input');
+        fileInput.type = 'file';
+        fileInput.accept = '.jsonl';
+        fileInput.addEventListener('change', importFile);
+        fileInput.click();
+    });
     // Do not change. #attachFile is added by extension.
     $(document).on('click', '#attachFile', function () {
         $('#file_form_input').trigger('click');

         await callGenericPopup(wrapper, POPUP_TYPE.TEXT, '', { wide: true, large: true });
     });
-    $(document).on('click', 'body.documentstyle .mes .mes_text', function () {
+    $(document).on('click', 'body .mes .mes_text', function () {
+        if (!power_user.click_to_edit) return;
         if (window.getSelection().toString()) return;
         if ($('.edit_textarea').length) return;
         $(this).closest('.mes').find('.mes_edit').trigger('click');

         reloadCurrentChat();
     });
+    $('#creators_note_styles_button').on('click', function () {
+        openGlobalStylesPreferenceDialog();
+    });
     $(document).on('click', '.mes_img', expandMessageImage);
     $(document).on('click', '.mes_img_enlarge', expandAndZoomMessageImage);
     $(document).on('click', '.mes_img_delete', deleteMessageImage);

         fileInput.files = dataTransfer.files;
         await onFileAttach(fileInput.files[0]);
     });
-});
+    eventSource.on(event_types.CHAT_CHANGED, checkForCreatorNotesStyles);
+}

public/scripts/custom-request.js+43 -18 Viewed

                 // Format messages using instruct formatting
                 const formattedMessages = [];
+                const prefillActive = prompt.length > 0 ? prompt[prompt.length - 1].role === 'assistant' : false;
                 for (const message of prompt) {
                     let messageContent = message.content;
                     if (!message.ignoreInstruct) {
-                        messageContent = formatInstructModeChat(
+                        const isLastMessage = message === prompt[prompt.length - 1];
-                            message.role,
-                            message.content,
+                        // This complicated logic means:
-                            message.role === 'user',
+                        // 1. If prefill is not active, format all messages
-                            false,
+                        // 2. If prefill is active, format all messages except the last one
-                            undefined,
+                        if (!isLastMessage || !prefillActive) {
-                            undefined,
+                            messageContent = formatInstructModeChat(
-                            undefined,
+                                message.role,
-                            undefined,
+                                message.content,
-                            instructPreset,
+                                message.role === 'user',
-                        );
-                        // Add prompt formatting for the last message
-                        if (message === prompt[prompt.length - 1]) {
-                            messageContent += formatInstructModePrompt(
-                                undefined,
                                 false,
                                 undefined,
                                 undefined,
                                 undefined,
-                                false,
+                                undefined,
-                                false,
                                 instructPreset,
                             );
+                        }
+                        // Add prompt formatting for the last message.
+                        if (isLastMessage) {
+                            if (!prefillActive) { // e.g. "<|im_start|>user:"
+                                messageContent += formatInstructModePrompt(
+                                    undefined,
+                                    false,
+                                    undefined,
+                                    undefined,
+                                    undefined,
+                                    false,
+                                    false,
+                                    instructPreset,
+                                );
+                            } else { // e.g. "<|im_start|>assistant: Hello, my name is"
+                                const overridenInstructPreset = structuredClone(instructPreset);
+                                overridenInstructPreset.output_suffix = '';
+                                overridenInstructPreset.wrap = false;
+                                messageContent = formatInstructModeChat(
+                                    message.role,
+                                    message.content,
+                                    false, // since it is assistant
+                                    false,
+                                    undefined,
+                                    undefined,
+                                    undefined,
+                                    undefined,
+                                    overridenInstructPreset,
+                                );
+                            }
+                        }
+                    }
                     formattedMessages.push(messageContent);
+                }

public/scripts/extensions.js+99 -11 Viewed

  * A set of active extensions.
  * @type {Set<string>}
  */
-let activeExtensions = new Set();
+const activeExtensions = new Set();
+/**
+ * Errors that occurred while loading extensions.
+ * @type {Set<string>}
+ */
+const extensionLoadErrors = new Set();
 const getApiUrl = () => extension_settings.apiUrl;
 const sortManifestsByOrder = (a, b) => parseInt(a.loading_order) - parseInt(b.loading_order) || String(a.display_name).localeCompare(String(b.display_name));

 let stateChanged = false;
 let saveMetadataTimeout = null;
+export function cancelDebouncedMetadataSave() {
+    if (saveMetadataTimeout) {
+        console.debug('Debounced metadata save cancelled');
+        clearTimeout(saveMetadataTimeout);
+        saveMetadataTimeout = null;
+    }
+}
 export function saveMetadataDebounced() {
     const context = getContext();
     const groupId = context.groupId;
     const characterId = context.characterId;
-    if (saveMetadataTimeout) {
+    cancelDebouncedMetadataSave();
-        clearTimeout(saveMetadataTimeout);
-    }
     saveMetadataTimeout = setTimeout(async () => {
         const newContext = getContext();

  * @returns {Promise<void>}
  */
 async function activateExtensions() {
+    extensionLoadErrors.clear();
     const extensions = Object.entries(manifests).sort((a, b) => sortManifestsByOrder(a[1], b[1]));
+    const extensionNames = extensions.map(x => x[0]);
     const promises = [];
     for (let entry of extensions) {
         const name = entry[0];
         const manifest = entry[1];
+        const extrasRequirements = manifest.requires;
+        const extensionDependencies = manifest.dependencies;
+        const displayName = manifest.display_name || name;
         if (activeExtensions.has(name)) {
             continue;
+        }
-        const meetsModuleRequirements = !Array.isArray(manifest.requires) || isSubsetOf(modules, manifest.requires);
+        // Module requirements: pass if 'requires' is undefined, null, or not an array; check subset if it's an array
+        let meetsModuleRequirements = true;
+        let missingModules = [];
+        if (extrasRequirements !== undefined) {
+            if (Array.isArray(extrasRequirements)) {
+                meetsModuleRequirements = isSubsetOf(modules, extrasRequirements);
+                missingModules = extrasRequirements.filter(req => !modules.includes(req));
+            } else {
+                console.warn(`Extension ${name}: manifest.json 'requires' field is not an array. Loading allowed, but any intended requirements were not verified to exist.`);
+            }
+        }
+        // Extension dependencies: pass if 'dependencies' is undefined or not an array; check subset and disabled status if it's an array
+        let meetsExtensionDeps = true;
+        let missingDependencies = [];
+        let disabledDependencies = [];
+        if (extensionDependencies !== undefined) {
+            if (Array.isArray(extensionDependencies)) {
+                // Check if all dependencies exist
+                meetsExtensionDeps = isSubsetOf(extensionNames, extensionDependencies);
+                missingDependencies = extensionDependencies.filter(dep => !extensionNames.includes(dep));
+                // Check for disabled dependencies
+                if (meetsExtensionDeps) {
+                    disabledDependencies = extensionDependencies.filter(dep => extension_settings.disabledExtensions.includes(dep));
+                    if (disabledDependencies.length > 0) {
+                        // Fail if any dependencies are disabled
+                        meetsExtensionDeps = false;
+                    }
+                }
+            } else {
+                console.warn(`Extension ${name}: manifest.json 'dependencies' field is not an array. Loading allowed, but any intended requirements were not verified to exist.`);
+            }
+        }
         const isDisabled = extension_settings.disabledExtensions.includes(name);
-        if (meetsModuleRequirements && !isDisabled) {
+        if (meetsModuleRequirements && meetsExtensionDeps && !isDisabled) {
             try {
                 console.debug('Activating extension', name);
-                const promise = addExtensionLocale(name, manifest).finally(() => Promise.all([addExtensionScript(name, manifest), addExtensionStyle(name, manifest)]));
+                const promise = addExtensionLocale(name, manifest).finally(() =>
+                    Promise.all([addExtensionScript(name, manifest), addExtensionStyle(name, manifest)]),
+                );
                 await promise
                     .then(() => activeExtensions.add(name))
-                    .catch(err => console.log('Could not activate extension', name, err));
+                    .catch(err => {
+                        console.log('Could not activate extension', name, err);
+                        extensionLoadErrors.add(t`Extension "${displayName}" failed to load: ${err}`);
+                    });
                 promises.push(promise);
+            } catch (error) {
+                console.error('Could not activate extension', name, error);
+            }
-            catch (error) {
+        } else if (!meetsModuleRequirements && !isDisabled) {
-                console.error('Could not activate extension', name);
+            console.warn(t`Extension "${name}" did not load. Missing required Extras module(s): "${missingModules.join(', ')}"`);
-                console.error(error);
+            extensionLoadErrors.add(t`Extension "${displayName}" did not load. Missing required Extras module(s): "${missingModules.join(', ')}"`);
+        } else if (!meetsExtensionDeps && !isDisabled) {
+            if (disabledDependencies.length > 0) {
+                console.warn(t`Extension "${name}" did not load. Required extensions exist but are disabled: "${disabledDependencies.join(', ')}". Enable them first, then reload.`);
+                extensionLoadErrors.add(t`Extension "${displayName}" did not load. Required extensions exist but are disabled: "${disabledDependencies.join(', ')}". Enable them first, then reload.`);
+            } else {
+                console.warn(t`Extension "${name}" did not load. Missing required extensions: "${missingDependencies.join(', ')}"`);
+                extensionLoadErrors.add(t`Extension "${displayName}" did not load. Missing required extensions: "${missingDependencies.join(', ')}"`);
+            }
+        }
+    }
     await Promise.allSettled(promises);
+    $('#extensions_details').toggleClass('warning', extensionLoadErrors.size > 0);
+}
 async function connectClickHandler() {

+}
 /**
+ * Generates HTML for the extension load errors.
+ * @returns {string} HTML string containing the errors that occurred while loading extensions.
+ */
+function getExtensionLoadErrorsHtml() {
+    if (extensionLoadErrors.size === 0) {
+        return '';
+    }
+    const container = document.createElement('div');
+    container.classList.add('info-block', 'error');
+    for (const error of extensionLoadErrors) {
+        const errorElement = document.createElement('div');
+        errorElement.textContent = error;
+        container.appendChild(errorElement);
+    }
+    return container.outerHTML;
+}
+/**
  * Generates the HTML strings for all extensions and displays them in a popup.
  */
 async function showExtensionsDetails() {

             initialScrollTop = oldPopup.content.scrollTop;
             await oldPopup.completeCancelled();
+        }
+        const htmlErrors = getExtensionLoadErrorsHtml();
         const htmlDefault = $('<div class="marginBot10"><h3 class="textAlignCenter">' + t`Built-in Extensions:` + '</h3></div>');
         const htmlExternal = $('<div class="marginBot10"><h3 class="textAlignCenter">' + t`Installed Extensions:` + '</h3></div>');
         const htmlLoading = $(`<div class="flex-container alignItemsCenter justifyCenter marginTop10 marginBot5">

         const html = $('<div></div>')
             .addClass('extensions_info')
+            .append(htmlErrors)
             .append(htmlDefault)
             .append(htmlExternal)
             .append(getModuleInformation());

public/scripts/extensions/caption/index.js+18 -3 Viewed

                 // Handle multimodal sources
                 if (settings.source === 'multimodal') {
                     const api = settings.multimodal_api;
+                    const altEndpointEnabled = settings.alt_endpoint_enabled;
+                    const altEndpointUrl = settings.alt_endpoint_url;
                     // APIs that support reverse proxy
                     const reverseProxyApis = {
                         'openai': SECRET_KEYS.OPENAI,
                         'mistral': SECRET_KEYS.MISTRALAI,
                         'google': SECRET_KEYS.MAKERSUITE,
+                        'vertexai': SECRET_KEYS.VERTEXAI,
                         'anthropic': SECRET_KEYS.CLAUDE,
+                        'xai': SECRET_KEYS.XAI,
                     };
                     if (reverseProxyApis[api]) {

                         'zerooneai': SECRET_KEYS.ZEROONEAI,
                         'groq': SECRET_KEYS.GROQ,
                         'cohere': SECRET_KEYS.COHERE,
-                        'xai': SECRET_KEYS.XAI,
                     };
                     if (chatCompletionApis[api] && secret_state[chatCompletionApis[api]]) {

@@ -443,12 +446,16 @@ jQuery(async function () {
443	'vllm': textgen_types.VLLM,	446	'vllm': textgen_types.VLLM,
444	};	447	};
445		448
446	if (textCompletionApis[api] && textgenerationwebui_settings.server_urls[textCompletionApis[api]]) {	449	if (textCompletionApis[api] && altEndpointEnabled && altEndpointUrl) {
		450	return true;
		451	}
		452
		453	if (textCompletionApis[api] && !altEndpointEnabled && textgenerationwebui_settings.server_urls[textCompletionApis[api]]) {
447	return true;	454	return true;
448	}	455	}
449		456
450	// Custom API doesn't need additional checks	457	// Custom API doesn't need additional checks
451	if (api === 'custom') {	458	if (api === 'custom' \|\| api === 'pollinations') {
452	return true;	459	return true;
453	}	460	}
454	}	461	}

         extension_settings.caption.multimodal_model = String($('#caption_multimodal_model').val());
         saveSettingsDebounced();
     });
+    $('#caption_altEndpoint_url').val(extension_settings.caption.alt_endpoint_url).on('input', () => {
+        extension_settings.caption.alt_endpoint_url = String($('#caption_altEndpoint_url').val());
+        saveSettingsDebounced();
+    });
+    $('#caption_altEndpoint_enabled').prop('checked', !!(extension_settings.caption.alt_endpoint_enabled)).on('input', () => {
+        extension_settings.caption.alt_endpoint_enabled = !!$('#caption_altEndpoint_enabled').prop('checked');
+        saveSettingsDebounced();
+    });
     const onMessageEvent = async (index) => {
         if (!extension_settings.caption.auto_mode) {

public/scripts/extensions/caption/settings.html+39 -1 Viewed

                         <option value="cohere">Cohere</option>
                         <option value="custom" data-i18n="Custom (OpenAI-compatible)">Custom (OpenAI-compatible)</option>
                         <option value="google">Google AI Studio</option>
+                        <option value="vertexai">Google Vertex AI</option>
                         <option value="groq">Groq</option>
                         <option value="koboldcpp">KoboldCpp</option>
                         <option value="llamacpp">llama.cpp</option>

                         <option value="openai">OpenAI</option>
                         <option value="openrouter">OpenRouter</option>
                         <option value="ooba" data-i18n="Text Generation WebUI (oobabooga)">Text Generation WebUI (oobabooga)</option>
+                        <option value="pollinations">Pollinations</option>
                         <option value="vllm">vLLM</option>
                         <option value="xai">xAI (Grok)</option>
                     </select>

                         <option data-type="mistral" value="mistral-large-pixtral-2411">mistral-large-pixtral-2411</option>
                         <option data-type="mistral" value="mistral-small-2503">mistral-small-2503</option>
                         <option data-type="mistral" value="mistral-small-latest">mistral-small-latest</option>
+                        <option data-type="mistral" value="mistral-medium-latest">mistral-medium-latest</option>
+                        <option data-type="mistral" value="mistral-medium-2505">mistral-medium-2505</option>
                         <option data-type="zerooneai" value="yi-vision">yi-vision</option>
                         <option data-type="openai" value="gpt-4.1">gpt-4.1</option>
                         <option data-type="openai" value="gpt-4.1-2025-04-14">gpt-4.1-2025-04-14</option>

                         <option data-type="openai" value="o4-mini-2025-04-16">o4-mini-2025-04-16</option>
                         <option data-type="openai" value="gpt-4.5-preview">gpt-4.5-preview</option>
                         <option data-type="openai" value="gpt-4.5-preview-2025-02-27">gpt-4.5-preview-2025-02-27</option>
+                        <option data-type="anthropic" value="claude-opus-4-0">claude-opus-4-0</option>
+                        <option data-type="anthropic" value="claude-opus-4-20250514">claude-opus-4-20250514</option>
+                        <option data-type="anthropic" value="claude-sonnet-4-0">claude-sonnet-4-0</option>
+                        <option data-type="anthropic" value="claude-sonnet-4-20250514">claude-sonnet-4-20250514</option>
                         <option data-type="anthropic" value="claude-3-7-sonnet-latest">claude-3-7-sonnet-latest</option>
                         <option data-type="anthropic" value="claude-3-7-sonnet-20250219">claude-3-7-sonnet-20250219</option>
                         <option data-type="anthropic" value="claude-3-5-sonnet-latest">claude-3-5-sonnet-latest</option>

                         <option data-type="anthropic" value="claude-3-opus-20240229">claude-3-opus-20240229</option>
                         <option data-type="anthropic" value="claude-3-sonnet-20240229">claude-3-sonnet-20240229</option>
                         <option data-type="anthropic" value="claude-3-haiku-20240307">claude-3-haiku-20240307</option>
+                        <option data-type="google" value="gemini-2.5-pro-preview-05-06">gemini-2.5-pro-preview-05-06</option>
                         <option data-type="google" value="gemini-2.5-pro-preview-03-25">gemini-2.5-pro-preview-03-25</option>
                         <option data-type="google" value="gemini-2.5-pro-exp-03-25">gemini-2.5-pro-exp-03-25</option>
+                        <option data-type="google" value="gemini-2.5-flash-preview-05-20">gemini-2.5-flash-preview-05-20</option>
                         <option data-type="google" value="gemini-2.5-flash-preview-04-17">gemini-2.5-flash-preview-04-17</option>
                         <option data-type="google" value="gemini-2.0-pro-exp-02-05">gemini-2.0-pro-exp-02-05 → 2.5-pro-exp-03-25</option>
                         <option data-type="google" value="gemini-2.0-pro-exp">gemini-2.0-pro-exp → 2.5-pro-exp-03-25</option>

                         <option data-type="google" value="gemini-1.5-flash-8b-exp-0827">gemini-1.5-flash-8b-exp-0827</option>
                         <option data-type="google" value="learnlm-2.0-flash-experimental">learnlm-2.0-flash-experimental</option>
                         <option data-type="google" value="learnlm-1.5-pro-experimental">learnlm-1.5-pro-experimental</option>
+                        <option data-type="vertexai" value="gemini-2.5-pro-preview-05-06">gemini-2.5-pro-preview-05-06</option>
+                        <option data-type="vertexai" value="gemini-2.5-pro-preview-03-25">gemini-2.5-pro-preview-03-25</option>
+                        <option data-type="vertexai" value="gemini-2.5-flash-preview-05-20">gemini-2.5-flash-preview-05-20</option>
+                        <option data-type="vertexai" value="gemini-2.5-flash-preview-04-17">gemini-2.5-flash-preview-04-17</option>
+                        <option data-type="vertexai" value="gemini-2.0-flash-001">gemini-2.0-flash-001</option>
+                        <option data-type="vertexai" value="gemini-2.0-flash-lite-001">gemini-2.0-flash-lite-001</option>
                         <option data-type="groq" value="llama-3.2-11b-vision-preview">llama-3.2-11b-vision-preview</option>
                         <option data-type="groq" value="llama-3.2-90b-vision-preview">llama-3.2-90b-vision-preview</option>
                         <option data-type="groq" value="llava-v1.5-7b-4096-preview">llava-v1.5-7b-4096-preview</option>

                         <option data-type="custom" value="custom_current" data-i18n="currently_selected">[Currently selected]</option>
                         <option data-type="xai" value="grok-2-vision-1212">grok-2-vision-1212</option>
                         <option data-type="xai" value="grok-vision-beta">grok-vision-beta</option>
+                        <option data-type="pollinations" value="openai">openai</option>
+                        <option data-type="pollinations" value="openai-fast">openai-fast</option>
+                        <option data-type="pollinations" value="openai-large">openai-large</option>
+                        <option data-type="pollinations" value="openai-roblox">openai-roblox</option>
+                        <option data-type="pollinations" value="mistral">mistral</option>
+                        <option data-type="pollinations" value="unity">unity</option>
+                        <option data-type="pollinations" value="mirexa">mirexa</option>
+                        <option data-type="pollinations" value="searchgpt">searchgpt</option>
+                        <option data-type="pollinations" value="evil">evil</option>
+                        <option data-type="pollinations" value="phi">phi</option>
+                        <option data-type="pollinations" value="sur">sur</option>
+                        <option data-type="pollinations" value="bidara">bidara</option>
                     </select>
                 </div>
                 <div data-type="ollama">
                     The model must be downloaded first! Do it with the <code>ollama pull</code> command or <a href="#" id="caption_ollama_pull">click here</a>.
                 </div>
-                <label data-type="openai,anthropic,google,mistral" class="checkbox_label flexBasis100p" for="caption_allow_reverse_proxy" title="Allow using reverse proxy if defined and valid.">
+                <label data-type="openai,anthropic,google,vertexai,mistral,xai" class="checkbox_label flexBasis100p" for="caption_allow_reverse_proxy" title="Allow using reverse proxy if defined and valid.">
                     <input id="caption_allow_reverse_proxy" type="checkbox" class="checkbox">
                     <span data-i18n="Allow reverse proxy">Allow reverse proxy</span>
                 </label>

                     <small><b data-i18n="Hint:">Hint:</b> <span data-i18n="Set your API keys and endpoints in the 'API Connections' tab first.">Set your API keys and endpoints in the 'API Connections' tab first.</span></small>
                 </div>
             </div>
+            <div data-type="koboldcpp,ollama,vllm,llamacpp,ooba" class="flex-container flexFlowColumn">
+                <label for="caption_altEndpoint_enabled" class="checkbox_label">
+                    <input id="caption_altEndpoint_enabled" type="checkbox">
+                    <span data-i18n="Use secondary URL">Use secondary URL</span>
+                </label>
+                <label for="caption_altEndpoint_url" data-i18n="Secondary captioning endpoint URL">
+                    Secondary captioning endpoint URL
+                </label>
+                <input id="caption_altEndpoint_url" class="text_pole" type="text" placeholder="e.g. http://localhost:5001" />
+            </div>
             <div id="caption_prompt_block">
                 <label for="caption_prompt" data-i18n="Caption Prompt">Caption Prompt</label>
                 <textarea id="caption_prompt" class="text_pole" rows="1" placeholder="&lt; Use default &gt;">{{PROMPT_DEFAULT}}</textarea>

public/scripts/extensions/gallery/index.js+1 -1 Viewed

         delete context.extensionSettings.gallery.folders[avatar];
         context.saveSettingsDebounced();
     });
-    eventSource.on('charManagementDropdown', (selectedOptionId) => {
+    eventSource.on(event_types.CHARACTER_MANAGEMENT_DROPDOWN, (selectedOptionId) => {
         if (selectedOptionId === 'show_char_gallery') {
             showCharGallery();
+        }

public/scripts/extensions/memory/index.js+4 -2 Viewed

 import { MacrosParser } from '../../macros.js';
 import { countWebLlmTokens, generateWebLlmChatPrompt, getWebLlmContextSize, isWebLlmSupported } from '../shared.js';
 import { commonEnumProviders } from '../../slash-commands/SlashCommandCommonEnumsProvider.js';
+import { removeReasoningFromString } from '../../reasoning.js';
 export { MODULE_NAME };
 const MODULE_NAME = '1_memory';

             case summary_sources.extras:
                 return await callExtrasSummarizeAPI(text);
             case summary_sources.main:
-                return await generateRaw(text, '', false, false, prompt, extension_settings.memory.overrideResponseLength);
+                return removeReasoningFromString(await generateRaw(text, '', false, false, prompt, extension_settings.memory.overrideResponseLength));
             case summary_sources.webllm: {
                 const messages = [{ role: 'system', content: prompt }, { role: 'user', content: text }].filter(m => m.content);
                 const params = extension_settings.memory.overrideResponseLength > 0 ? { max_tokens: extension_settings.memory.overrideResponseLength } : {};

                 return null;
+            }
-            summary = await generateRaw(rawPrompt, '', false, false, prompt, extension_settings.memory.overrideResponseLength);
+            const rawSummary = await generateRaw(rawPrompt, '', false, false, prompt, extension_settings.memory.overrideResponseLength);
+            summary = removeReasoningFromString(rawSummary);
             index = lastUsedIndex;
         } finally {
             inApiCall = false;

public/scripts/extensions/shared.js+50 -27 Viewed

  */
 export async function getMultimodalCaption(base64Img, prompt) {
     const useReverseProxy =
-        (['openai', 'anthropic', 'google', 'mistral'].includes(extension_settings.caption.multimodal_api))
+        (['openai', 'anthropic', 'google', 'mistral', 'vertexai', 'xai'].includes(extension_settings.caption.multimodal_api))
         && extension_settings.caption.allow_reverse_proxy
         && oai_settings.reverse_proxy
         && isValidUrl(oai_settings.reverse_proxy);
     throwIfInvalidModel(useReverseProxy);
-    const noPrefix = ['ollama', 'llamacpp'].includes(extension_settings.caption.multimodal_api);
+    const noPrefix = ['ollama'].includes(extension_settings.caption.multimodal_api);
     if (noPrefix && base64Img.startsWith('data:image/')) {
         base64Img = base64Img.split(',')[1];

     const isVllm = extension_settings.caption.multimodal_api === 'vllm';
     const base64Bytes = base64Img.length * 0.75;
     const compressionLimit = 2 * 1024 * 1024;
-    if ((['google', 'openrouter', 'mistral', 'groq'].includes(extension_settings.caption.multimodal_api) && base64Bytes > compressionLimit) || isOoba || isKoboldCpp) {
+    const thumbnailNeeded = ['google', 'openrouter', 'mistral', 'groq', 'vertexai'].includes(extension_settings.caption.multimodal_api);
+    if ((thumbnailNeeded && base64Bytes > compressionLimit) || isOoba || isKoboldCpp) {
         const maxSide = 1024;
         base64Img = await createThumbnail(base64Img, maxSide, maxSide, 'image/jpeg');
+    }

@@ -60,7 +61,9 @@ export async function getMultimodalCaption(base64Img, prompt) {
60	requestBody.model = textgenerationwebui_settings.ollama_model;	61	requestBody.model = textgenerationwebui_settings.ollama_model;
61	}	62	}
62		63
63	requestBody.server_url = textgenerationwebui_settings.server_urls[textgen_types.OLLAMA];	64	requestBody.server_url = extension_settings.caption.alt_endpoint_enabled
		65	? extension_settings.caption.alt_endpoint_url
		66	: textgenerationwebui_settings.server_urls[textgen_types.OLLAMA];
64	}	67	}
65		68
66	if (isVllm) {	69	if (isVllm) {

@@ -68,19 +71,27 @@ export async function getMultimodalCaption(base64Img, prompt) {
68	requestBody.model = textgenerationwebui_settings.vllm_model;	71	requestBody.model = textgenerationwebui_settings.vllm_model;
69	}	72	}
70		73
71	requestBody.server_url = textgenerationwebui_settings.server_urls[textgen_types.VLLM];	74	requestBody.server_url = extension_settings.caption.alt_endpoint_enabled
		75	? extension_settings.caption.alt_endpoint_url
		76	: textgenerationwebui_settings.server_urls[textgen_types.VLLM];
72	}	77	}
73		78
74	if (isLlamaCpp) {	79	if (isLlamaCpp) {
75	requestBody.server_url = textgenerationwebui_settings.server_urls[textgen_types.LLAMACPP];	80	requestBody.server_url = extension_settings.caption.alt_endpoint_enabled
		81	? extension_settings.caption.alt_endpoint_url
		82	: textgenerationwebui_settings.server_urls[textgen_types.LLAMACPP];
76	}	83	}
77		84
78	if (isOoba) {	85	if (isOoba) {
79	requestBody.server_url = textgenerationwebui_settings.server_urls[textgen_types.OOBA];	86	requestBody.server_url = extension_settings.caption.alt_endpoint_enabled
		87	? extension_settings.caption.alt_endpoint_url
		88	: textgenerationwebui_settings.server_urls[textgen_types.OOBA];
80	}	89	}
81		90
82	if (isKoboldCpp) {	91	if (isKoboldCpp) {
83	requestBody.server_url = textgenerationwebui_settings.server_urls[textgen_types.KOBOLDCPP];	92	requestBody.server_url = extension_settings.caption.alt_endpoint_enabled
		93	? extension_settings.caption.alt_endpoint_url
		94	: textgenerationwebui_settings.server_urls[textgen_types.KOBOLDCPP];
84	}	95	}
85		96
86	if (isCustom) {	97	if (isCustom) {

     function getEndpointUrl() {
         switch (extension_settings.caption.multimodal_api) {
             case 'google':
+            case 'vertexai':
                 return '/api/google/caption-image';
             case 'anthropic':
                 return '/api/anthropic/caption-image';
-            case 'llamacpp':
-                return '/api/backends/text-completions/llamacpp/caption-image';
             case 'ollama':
                 return '/api/backends/text-completions/ollama/caption-image';
             default:

public/scripts/extensions/stable-diffusion/index.js+50 -3 Viewed

 import { callGenericPopup, Popup, POPUP_RESULT, POPUP_TYPE } from '../../popup.js';
 import { commonEnumProviders } from '../../slash-commands/SlashCommandCommonEnumsProvider.js';
 import { ToolManager } from '../../tool-calling.js';
+import { MacrosParser } from '../../macros.js';
+import { t } from '../../i18n.js';
 export { MODULE_NAME };

     sd_res_768x1344: { width: 768, height: 1344, name: '768x1344 (3:4, SDXL)' },
     sd_res_1536x640: { width: 1536, height: 640, name: '1536x640 (24:10, SDXL)' },
     sd_res_640x1536: { width: 640, height: 1536, name: '640x1536 (10:24, SDXL)' },
+    sd_res_1536x1024: { width: 1536, height: 1024, name: '1536x1024 (3:2, ChatGPT)' },
+    sd_res_1024x1536: { width: 1024, height: 1536, name: '1024x1536 (2:3, ChatGPT)' },
+    sd_res_1024x1792: { width: 1024, height: 1792, name: '1024x1792 (4:7, DALL-E)' },
+    sd_res_1792x1024: { width: 1792, height: 1024, name: '1792x1024 (7:4, DALL-E)' },
 };
 function onResolutionChange() {

 async function loadOpenAiModels() {
     return [
-        { value: 'dall-e-3', text: 'DALL-E 3' },
+        { value: 'gpt-image-1', text: 'gpt-image-1' },
-        { value: 'dall-e-2', text: 'DALL-E 2' },
+        { value: 'dall-e-3', text: 'dall-e-3' },
+        { value: 'dall-e-2', text: 'dall-e-2' },
     ];
+}

 async function generateOpenAiImage(prompt, signal) {
     const dalle2PromptLimit = 1000;
     const dalle3PromptLimit = 4000;
+    const gptImgPromptLimit = 32000;
     const isDalle2 = extension_settings.sd.model === 'dall-e-2';
     const isDalle3 = extension_settings.sd.model === 'dall-e-3';
+    const isGptImg = extension_settings.sd.model === 'gpt-image-1';
     if (isDalle2 && prompt.length > dalle2PromptLimit) {
         prompt = prompt.substring(0, dalle2PromptLimit);

         prompt = prompt.substring(0, dalle3PromptLimit);
+    }
+    if (isGptImg && prompt.length > gptImgPromptLimit) {
+        prompt = prompt.substring(0, gptImgPromptLimit);
+    }
     let width = 1024;
     let height = 1024;
     let aspectRatio = extension_settings.sd.width / extension_settings.sd.height;

         width = 1792;
+    }
+    if (isGptImg && aspectRatio < 1) {
+        height = 1536;
+    }
+    if (isGptImg && aspectRatio > 1) {
+        width = 1536;
+    }
     if (isDalle2 && (extension_settings.sd.width <= 512 && extension_settings.sd.height <= 512)) {
         width = 512;
         height = 512;

             n: 1,
             quality: isDalle3 ? extension_settings.sd.openai_quality : undefined,
             style: isDalle3 ? extension_settings.sd.openai_style : undefined,
-            response_format: 'b64_json',
+            response_format: isDalle2 || isDalle3 ? 'b64_json' : undefined,
+            moderation: isGptImg ? 'low' : undefined,
         }),
     });

     await loadSettings();
     $('body').addClass('sd');
+    const getMacroValue = ({ isNegative }) => {
+        if (selected_group || this_chid === undefined) {
+            return '';
+        }
+        const key = getCharaFilename(this_chid);
+        let characterPrompt = key ? (extension_settings.sd.character_prompts[key] || '') : '';
+        let negativePrompt = key ? (extension_settings.sd.character_negative_prompts[key] || '') : '';
+        const context = getContext();
+        const sharedPromptData = context?.characters[this_chid]?.data?.extensions?.sd_character_prompt;
+        if (typeof sharedPromptData?.positive === 'string' && !characterPrompt && sharedPromptData.positive) {
+            characterPrompt = sharedPromptData.positive || '';
+        }
+        if (typeof sharedPromptData?.negative === 'string' && !negativePrompt && sharedPromptData.negative) {
+            negativePrompt = sharedPromptData.negative || '';
+        }
+        return isNegative ? negativePrompt : characterPrompt;
+    };
+    MacrosParser.registerMacro('charPrefix', () => getMacroValue({ isNegative: false }), t`Character's positive positive Image Generation prompt prefix`);
+    MacrosParser.registerMacro('charNegativePrefix', () => getMacroValue({ isNegative: true }), t`Character's negative Image Generation prompt prefix`);
 });

public/scripts/extensions/stable-diffusion/settings.html+1 -1 Viewed

                 <option value="huggingface">HuggingFace Inference API (serverless)</option>
                 <option value="nanogpt">NanoGPT</option>
                 <option value="novel">NovelAI Diffusion</option>
-                <option value="openai">OpenAI (DALL-E)</option>
+                <option value="openai">OpenAI</option>
                 <option value="pollinations">Pollinations</option>
                 <option value="vlad">SD.Next (vladmandic)</option>
                 <option value="stability">Stability AI</option>

public/scripts/extensions/vectors/index.js+2 -1 Viewed

 import { callGenericPopup, POPUP_RESULT, POPUP_TYPE } from '../../popup.js';
 import { generateWebLlmChatPrompt, isWebLlmSupported } from '../shared.js';
 import { WebLlmVectorProvider } from './webllm.js';
+import { removeReasoningFromString } from '../../reasoning.js';
 /**
  * @typedef {object} HashedMessage

  * @returns {Promise<boolean>} Sucess
  */
 async function summarizeMain(element) {
-    element.text = await generateRaw(element.text, '', false, false, settings.summary_prompt);
+    element.text = removeReasoningFromString(await generateRaw(element.text, '', false, false, settings.summary_prompt));
     return true;
+}

public/scripts/group-chats.js+28 -10 Viewed

     localizePagination,
     renderPaginationDropdown,
     paginationDropdownChangeHandler,
+    waitUntilCondition,
 } from './utils.js';
 import { RA_CountCharTokens, humanizedDateTime, dragElement, favsToHotswap, getMessageTimeStamp } from './RossAscends-mods.js';
 import { power_user, loadMovingUIState, sortEntitiesList } from './power-user.js';

 let is_group_generating = false; // Group generation flag
 let is_group_automode_enabled = false;
-let hideMutedSprites = true;
+let hideMutedSprites = false;
 let groups = [];
 let selected_group = null;
 let group_generation_id = null;

         return character;
     });
+    // Remove duplicate chat ids
+    if (Array.isArray(group.chats)) {
+        const lengthBefore = group.chats.length;
+        group.chats = group.chats.filter(onlyUnique);
+        const lengthAfter = group.chats.length;
+        if (lengthBefore !== lengthAfter) {
+            dirty = true;
+        }
+    }
     if (dirty) {
         await editGroup(group.id, true, false);
+    }

+    }
     // Run validation before any loading
-    validateGroup(group);
+    await validateGroup(group);
     await unshallowGroupMembers(groupId);
     const chat_id = group.chat_id;
     const data = await loadGroupChat(chat_id);
+    const metadata = group.chat_metadata ?? {};
     let freshChat = false;
     await loadItemizedPrompts(getCurrentChatId());

         chat.splice(0, chat.length, ...data);
         await printMessages();
     } else {
-        if (group && Array.isArray(group.members)) {
+        freshChat = !metadata.tainted;
+        if (group && Array.isArray(group.members) && freshChat) {
             for (let member of group.members) {
                 const character = characters.find(x => x.avatar === member || x.name === member);
                 if (!character) {

@@ -252,12 +265,10 @@ export async function getGroupChat(groupId, reload = false) {
252	addOneMessage(mes);	265	addOneMessage(mes);
253	await eventSource.emit(event_types.CHARACTER_MESSAGE_RENDERED, (chat.length - 1), 'first_message');	266	await eventSource.emit(event_types.CHARACTER_MESSAGE_RENDERED, (chat.length - 1), 'first_message');
254	}	267	}
		268	await saveGroupChat(groupId, false);
255	}	269	}
256	await saveGroupChat(groupId, false);
257	freshChat = true;
258	}	270	}
259		271
260	let metadata = group.chat_metadata ?? {};
261	updateChatMetadata(metadata, true);	272	updateChatMetadata(metadata, true);
262		273
263	if (reload) {	274	if (reload) {

     // Display inline tags
     const tagsElement = template.find('.tags');
-    printTagList(tagsElement, { forEntityOrKey: group.id });
+    printTagList(tagsElement, { forEntityOrKey: group.id, tagOptions: { isCharacterList: true } });
     const avatar = getGroupAvatar(group);
     if (avatar) {

         setCharacterName('');
         activateSendButtons();
         showSwipeButtons();
-        await eventSource.emit(event_types.GROUP_WRAPPER_FINISHED,  { selected_group, type });
+        await eventSource.emit(event_types.GROUP_WRAPPER_FINISHED, { selected_group, type });
+    }
     return Promise.resolve(textResult);

         return;
+    }
-    group['chat_metadata'] = chat_metadata;
+    if (id === selected_group) {
+        group['chat_metadata'] = structuredClone(chat_metadata);
+    }
     if (immediately) {
         return await _save(group, reload);

     // Display inline tags
     const tagsElement = template.find('.tags');
-    printTagList(tagsElement, { forEntityOrKey: characters.indexOf(character) });
+    printTagList(tagsElement, { forEntityOrKey: characters.indexOf(character), tagOptions: { isCharacterList: true } });
     if (!openGroupId) {
         template.find('[data-action="speak"]').hide();

@@ -1526,6 +1539,7 @@ async function onHideMutedSpritesClick(value) {
1526	_thisGroup.hideMutedSprites = value;	1539	_thisGroup.hideMutedSprites = value;
1527	console.log(`_thisGroup.hideMutedSprites = ${_thisGroup.hideMutedSprites}`);	1540	console.log(`_thisGroup.hideMutedSprites = ${_thisGroup.hideMutedSprites}`);
1528	await editGroup(openGroupId, false, false);	1541	await editGroup(openGroupId, false, false);
		1542	await eventSource.emit(event_types.GROUP_UPDATED);
1529	}	1543	}
1530	}	1544	}
1531		1545

@@ -1619,6 +1633,9 @@ function select_group_chats(groupId, skipAnimation) {
1619	});	1633	});
1620	}	1634	}
1621		1635
		1636	hideMutedSprites = group?.hideMutedSprites ?? false;
		1637	$('#rm_group_hidemutedsprites').prop('checked', hideMutedSprites);
		1638
1622	eventSource.emit('groupSelected', { detail: { id: openGroupId, group: group } });	1639	eventSource.emit('groupSelected', { detail: { id: openGroupId, group: group } });
1623	}	1640	}
1624		1641

+}
 export async function openGroupChat(groupId, chatId) {
+    await waitUntilCondition(() => !isChatSaving, debounce_timeout.extended, 10);
     const group = groups.find(x => x.id === groupId);
     if (!group || !group.chats.includes(chatId)) {

public/scripts/logprobs.js+55 -3 Viewed

     getGeneratingApi,
     is_send_press,
     isStreamingEnabled,
+    substituteParamsExtended,
 } from '../script.js';
 import { debounce, delay, getStringHash } from './utils.js';
 import { decodeTextTokens, getTokenizerBestMatch } from './tokenizers.js';

 function createSwipe(messageId, prompt) {
     // need to call `cleanUpMessage` on our new prompt, because we were working
     // with raw model output and our new prompt is missing trimming/macro replacements
-    const cleanedPrompt = cleanUpMessage({
+    let cleanedPrompt = cleanUpMessage({
         getMessage: prompt,
         isImpersonate: false,
         isContinue: false,

     });
     const msg = chat[messageId];
+    const reasoningPrefix = substituteParamsExtended(power_user.reasoning.prefix);
+    const reasoningSuffix = substituteParamsExtended(power_user.reasoning.suffix);
+    const isReasoningAutoParsed = power_user.reasoning.auto_parse;
+    const msgHasParsedReasoning = msg.extra?.reasoning?.length > 0;
+    let shouldRerollReasoning = false;
+    //if we have pre-existing reasoning and are currently autoparsing
+    if (isReasoningAutoParsed && msgHasParsedReasoning) {
+        console.debug('saw autoparse on with reasoning in message');
+        //but the reroll prompt does not include the end of reasoning
+        if (cleanedPrompt.includes(reasoningPrefix) && !cleanedPrompt.includes(reasoningSuffix)) {
+            //we need to send the results to the reasoning block
+            //this will involve the ReasoningHandler from reasoning.js
+            console.debug('..with start tag but no end tag... reroll reasoning');
+            shouldRerollReasoning = true;
+        }
+        let hasReasoningPrefix = cleanedPrompt.includes(reasoningPrefix);
+        let hasReasoningSuffix = cleanedPrompt.includes(reasoningSuffix);
+        //..with both the start and end think tags
+        //OR
+        //..with only the end think tag (implying prefilled think start)
+        if (hasReasoningPrefix && hasReasoningSuffix) {
+            //we need to send the results to the response block without reasoning attached
+            console.debug('...incl. end tag...rerolling response');
+            const endOfThink = cleanedPrompt.indexOf(reasoningSuffix) + reasoningSuffix.length;
+            cleanedPrompt = cleanedPrompt.substring(endOfThink);
+        }
+        //if cleanedprompt includes the think prefix, but no suffix..
+        if (hasReasoningPrefix && !hasReasoningSuffix) {
+            console.debug('..no end tag...rerolling reasoning, so removing prefix');
+            cleanedPrompt = cleanedPrompt.replace(reasoningPrefix, '');
+        }
+    }
+    console.debug('cleanedPrompt: ', cleanedPrompt);
     const newSwipeInfo = {
         send_date: msg.send_date,
         gen_started: msg.gen_started,

     msg.swipe_info = msg.swipe_info || [];
     // Add our new swipe, then make sure the active swipe is the one just before
-    // it. The call to `swipe_right` will switch to it immediately.
+    // it. The call to `swipe_right` in addGeneration() will switch to it immediately.
-    msg.swipes.push(cleanedPrompt);
+    //if we determined that we need to reroll from reasoning
+    if (shouldRerollReasoning) {
+        //cleaned prompt goes into reasoning
+        newSwipeInfo.extra.reasoning = cleanedPrompt;
+        //mes_text becomes empty, causing the reasoning handler to parse the reasoning first
+        msg.swipes.push('');
+    } else {
+        //otherwise just add the cleaned prompt to the message and continue
+        msg.swipes.push(cleanedPrompt);
+    }
     msg.swipe_info.push(newSwipeInfo);
     msg.swipe_id = Math.max(0, msg.swipes.length - 2);
+}

public/scripts/openai.js+332 -154 Viewed

 import { ARGUMENT_TYPE, SlashCommandArgument } from './slash-commands/SlashCommandArgument.js';
 import { renderTemplateAsync } from './templates.js';
 import { SlashCommandEnumValue } from './slash-commands/SlashCommandEnumValue.js';
-import { Popup, POPUP_RESULT } from './popup.js';
+import { Popup, POPUP_RESULT, POPUP_TYPE } from './popup.js';
 import { t } from './i18n.js';
 import { ToolManager } from './tool-calling.js';
 import { accountStorage } from './util/AccountStorage.js';

     OPENROUTER: 'openrouter',
     AI21: 'ai21',
     MAKERSUITE: 'makersuite',
+    VERTEXAI: 'vertexai',
     MISTRALAI: 'mistralai',
     CUSTOM: 'custom',
     COHERE: 'cohere',

     NANOGPT: 'nanogpt',
     DEEPSEEK: 'deepseek',
     XAI: 'xai',
+    POLLINATIONS: 'pollinations',
 };
 const character_names_behavior = {

     DOUBLE_NEWLINE: '\n\n',
 };
-const custom_prompt_post_processing_types = {
+export const custom_prompt_post_processing_types = {
     NONE: '',
     /** @deprecated Use MERGE instead. */
     CLAUDE: 'claude',
     MERGE: 'merge',
     SEMI: 'semi',
     STRICT: 'strict',
+    SINGLE: 'single',
 };
 const openrouter_middleout_types = {

 ];
 /**
- * preset_name -> [selector, setting_name, is_checkbox]
+ * preset_name -> [selector, setting_name, is_checkbox, is_connection]
- * @type {Record<string, [string, string, boolean]>}
+ * @type {Record<string, [string, string, boolean, boolean]>}
  */
 export const settingsToUpdate = {
-    chat_completion_source: ['#chat_completion_source', 'chat_completion_source', false],
+    chat_completion_source: ['#chat_completion_source', 'chat_completion_source', false, true],
-    temperature: ['#temp_openai', 'temp_openai', false],
+    temperature: ['#temp_openai', 'temp_openai', false, false],
-    frequency_penalty: ['#freq_pen_openai', 'freq_pen_openai', false],
+    frequency_penalty: ['#freq_pen_openai', 'freq_pen_openai', false, false],
-    presence_penalty: ['#pres_pen_openai', 'pres_pen_openai', false],
+    presence_penalty: ['#pres_pen_openai', 'pres_pen_openai', false, false],
-    top_p: ['#top_p_openai', 'top_p_openai', false],
+    top_p: ['#top_p_openai', 'top_p_openai', false, false],
-    top_k: ['#top_k_openai', 'top_k_openai', false],
+    top_k: ['#top_k_openai', 'top_k_openai', false, false],
-    top_a: ['#top_a_openai', 'top_a_openai', false],
+    top_a: ['#top_a_openai', 'top_a_openai', false, false],
-    min_p: ['#min_p_openai', 'min_p_openai', false],
+    min_p: ['#min_p_openai', 'min_p_openai', false, false],
-    repetition_penalty: ['#repetition_penalty_openai', 'repetition_penalty_openai', false],
+    repetition_penalty: ['#repetition_penalty_openai', 'repetition_penalty_openai', false, false],
-    max_context_unlocked: ['#oai_max_context_unlocked', 'max_context_unlocked', true],
+    max_context_unlocked: ['#oai_max_context_unlocked', 'max_context_unlocked', true, false],
-    openai_model: ['#model_openai_select', 'openai_model', false],
+    openai_model: ['#model_openai_select', 'openai_model', false, true],
-    claude_model: ['#model_claude_select', 'claude_model', false],
+    claude_model: ['#model_claude_select', 'claude_model', false, true],
-    windowai_model: ['#model_windowai_select', 'windowai_model', false],
+    windowai_model: ['#model_windowai_select', 'windowai_model', false, true],
-    openrouter_model: ['#model_openrouter_select', 'openrouter_model', false],
+    openrouter_model: ['#model_openrouter_select', 'openrouter_model', false, true],
-    openrouter_use_fallback: ['#openrouter_use_fallback', 'openrouter_use_fallback', true],
+    openrouter_use_fallback: ['#openrouter_use_fallback', 'openrouter_use_fallback', true, true],
-    openrouter_group_models: ['#openrouter_group_models', 'openrouter_group_models', false],
+    openrouter_group_models: ['#openrouter_group_models', 'openrouter_group_models', false, true],
-    openrouter_sort_models: ['#openrouter_sort_models', 'openrouter_sort_models', false],
+    openrouter_sort_models: ['#openrouter_sort_models', 'openrouter_sort_models', false, true],
-    openrouter_providers: ['#openrouter_providers_chat', 'openrouter_providers', false],
+    openrouter_providers: ['#openrouter_providers_chat', 'openrouter_providers', false, true],
-    openrouter_allow_fallbacks: ['#openrouter_allow_fallbacks', 'openrouter_allow_fallbacks', true],
+    openrouter_allow_fallbacks: ['#openrouter_allow_fallbacks', 'openrouter_allow_fallbacks', true, true],
-    openrouter_middleout: ['#openrouter_middleout', 'openrouter_middleout', false],
+    openrouter_middleout: ['#openrouter_middleout', 'openrouter_middleout', false, true],
-    ai21_model: ['#model_ai21_select', 'ai21_model', false],
+    ai21_model: ['#model_ai21_select', 'ai21_model', false, true],
-    mistralai_model: ['#model_mistralai_select', 'mistralai_model', false],
+    mistralai_model: ['#model_mistralai_select', 'mistralai_model', false, true],
-    cohere_model: ['#model_cohere_select', 'cohere_model', false],
+    cohere_model: ['#model_cohere_select', 'cohere_model', false, true],
-    perplexity_model: ['#model_perplexity_select', 'perplexity_model', false],
+    perplexity_model: ['#model_perplexity_select', 'perplexity_model', false, true],
-    groq_model: ['#model_groq_select', 'groq_model', false],
+    groq_model: ['#model_groq_select', 'groq_model', false, true],
-    nanogpt_model: ['#model_nanogpt_select', 'nanogpt_model', false],
+    nanogpt_model: ['#model_nanogpt_select', 'nanogpt_model', false, true],
-    deepseek_model: ['#model_deepseek_select', 'deepseek_model', false],
+    deepseek_model: ['#model_deepseek_select', 'deepseek_model', false, true],
-    zerooneai_model: ['#model_01ai_select', 'zerooneai_model', false],
+    zerooneai_model: ['#model_01ai_select', 'zerooneai_model', false, true],
-    xai_model: ['#model_xai_select', 'xai_model', false],
+    xai_model: ['#model_xai_select', 'xai_model', false, true],
-    custom_model: ['#custom_model_id', 'custom_model', false],
+    pollinations_model: ['#model_pollinations_select', 'pollinations_model', false, true],
-    custom_url: ['#custom_api_url_text', 'custom_url', false],
+    custom_model: ['#custom_model_id', 'custom_model', false, true],
-    custom_include_body: ['#custom_include_body', 'custom_include_body', false],
+    custom_url: ['#custom_api_url_text', 'custom_url', false, true],
-    custom_exclude_body: ['#custom_exclude_body', 'custom_exclude_body', false],
+    custom_include_body: ['#custom_include_body', 'custom_include_body', false, true],
-    custom_include_headers: ['#custom_include_headers', 'custom_include_headers', false],
+    custom_exclude_body: ['#custom_exclude_body', 'custom_exclude_body', false, true],
-    custom_prompt_post_processing: ['#custom_prompt_post_processing', 'custom_prompt_post_processing', false],
+    custom_include_headers: ['#custom_include_headers', 'custom_include_headers', false, true],
-    google_model: ['#model_google_select', 'google_model', false],
+    custom_prompt_post_processing: ['#custom_prompt_post_processing', 'custom_prompt_post_processing', false, true],
-    openai_max_context: ['#openai_max_context', 'openai_max_context', false],
+    google_model: ['#model_google_select', 'google_model', false, true],
-    openai_max_tokens: ['#openai_max_tokens', 'openai_max_tokens', false],
+    vertexai_model: ['#model_vertexai_select', 'vertexai_model', false, true],
-    wrap_in_quotes: ['#wrap_in_quotes', 'wrap_in_quotes', true],
+    openai_max_context: ['#openai_max_context', 'openai_max_context', false, false],
-    names_behavior: ['#names_behavior', 'names_behavior', false],
+    openai_max_tokens: ['#openai_max_tokens', 'openai_max_tokens', false, false],
-    send_if_empty: ['#send_if_empty_textarea', 'send_if_empty', false],
+    wrap_in_quotes: ['#wrap_in_quotes', 'wrap_in_quotes', true, false],
-    impersonation_prompt: ['#impersonation_prompt_textarea', 'impersonation_prompt', false],
+    names_behavior: ['#names_behavior', 'names_behavior', false, false],
-    new_chat_prompt: ['#newchat_prompt_textarea', 'new_chat_prompt', false],
+    send_if_empty: ['#send_if_empty_textarea', 'send_if_empty', false, false],
-    new_group_chat_prompt: ['#newgroupchat_prompt_textarea', 'new_group_chat_prompt', false],
+    impersonation_prompt: ['#impersonation_prompt_textarea', 'impersonation_prompt', false, false],
-    new_example_chat_prompt: ['#newexamplechat_prompt_textarea', 'new_example_chat_prompt', false],
+    new_chat_prompt: ['#newchat_prompt_textarea', 'new_chat_prompt', false, false],
-    continue_nudge_prompt: ['#continue_nudge_prompt_textarea', 'continue_nudge_prompt', false],
+    new_group_chat_prompt: ['#newgroupchat_prompt_textarea', 'new_group_chat_prompt', false, false],
-    bias_preset_selected: ['#openai_logit_bias_preset', 'bias_preset_selected', false],
+    new_example_chat_prompt: ['#newexamplechat_prompt_textarea', 'new_example_chat_prompt', false, false],
-    reverse_proxy: ['#openai_reverse_proxy', 'reverse_proxy', false],
+    continue_nudge_prompt: ['#continue_nudge_prompt_textarea', 'continue_nudge_prompt', false, false],
-    wi_format: ['#wi_format_textarea', 'wi_format', false],
+    bias_preset_selected: ['#openai_logit_bias_preset', 'bias_preset_selected', false, false],
-    scenario_format: ['#scenario_format_textarea', 'scenario_format', false],
+    reverse_proxy: ['#openai_reverse_proxy', 'reverse_proxy', false, true],
-    personality_format: ['#personality_format_textarea', 'personality_format', false],
+    wi_format: ['#wi_format_textarea', 'wi_format', false, false],
-    group_nudge_prompt: ['#group_nudge_prompt_textarea', 'group_nudge_prompt', false],
+    scenario_format: ['#scenario_format_textarea', 'scenario_format', false, false],
-    stream_openai: ['#stream_toggle', 'stream_openai', true],
+    personality_format: ['#personality_format_textarea', 'personality_format', false, false],
-    prompts: ['', 'prompts', false],
+    group_nudge_prompt: ['#group_nudge_prompt_textarea', 'group_nudge_prompt', false, false],
-    prompt_order: ['', 'prompt_order', false],
+    stream_openai: ['#stream_toggle', 'stream_openai', true, false],
-    api_url_scale: ['#api_url_scale', 'api_url_scale', false],
+    prompts: ['', 'prompts', false, false],
-    show_external_models: ['#openai_show_external_models', 'show_external_models', true],
+    prompt_order: ['', 'prompt_order', false, false],
-    proxy_password: ['#openai_proxy_password', 'proxy_password', false],
+    api_url_scale: ['#api_url_scale', 'api_url_scale', false, true],
-    assistant_prefill: ['#claude_assistant_prefill', 'assistant_prefill', false],
+    show_external_models: ['#openai_show_external_models', 'show_external_models', true, true],
-    assistant_impersonation: ['#claude_assistant_impersonation', 'assistant_impersonation', false],
+    proxy_password: ['#openai_proxy_password', 'proxy_password', false, true],
-    claude_use_sysprompt: ['#claude_use_sysprompt', 'claude_use_sysprompt', true],
+    assistant_prefill: ['#claude_assistant_prefill', 'assistant_prefill', false, false],
-    use_makersuite_sysprompt: ['#use_makersuite_sysprompt', 'use_makersuite_sysprompt', true],
+    assistant_impersonation: ['#claude_assistant_impersonation', 'assistant_impersonation', false, false],
-    use_alt_scale: ['#use_alt_scale', 'use_alt_scale', true],
+    claude_use_sysprompt: ['#claude_use_sysprompt', 'claude_use_sysprompt', true, false],
-    squash_system_messages: ['#squash_system_messages', 'squash_system_messages', true],
+    use_makersuite_sysprompt: ['#use_makersuite_sysprompt', 'use_makersuite_sysprompt', true, false],
-    image_inlining: ['#openai_image_inlining', 'image_inlining', true],
+    use_alt_scale: ['#use_alt_scale', 'use_alt_scale', true, true],
-    inline_image_quality: ['#openai_inline_image_quality', 'inline_image_quality', false],
+    squash_system_messages: ['#squash_system_messages', 'squash_system_messages', true, false],
-    continue_prefill: ['#continue_prefill', 'continue_prefill', true],
+    image_inlining: ['#openai_image_inlining', 'image_inlining', true, false],
-    continue_postfix: ['#continue_postfix', 'continue_postfix', false],
+    inline_image_quality: ['#openai_inline_image_quality', 'inline_image_quality', false, false],
-    function_calling: ['#openai_function_calling', 'function_calling', true],
+    continue_prefill: ['#continue_prefill', 'continue_prefill', true, false],
-    show_thoughts: ['#openai_show_thoughts', 'show_thoughts', true],
+    continue_postfix: ['#continue_postfix', 'continue_postfix', false, false],
-    reasoning_effort: ['#openai_reasoning_effort', 'reasoning_effort', false],
+    function_calling: ['#openai_function_calling', 'function_calling', true, false],
-    enable_web_search: ['#openai_enable_web_search', 'enable_web_search', true],
+    show_thoughts: ['#openai_show_thoughts', 'show_thoughts', true, false],
-    seed: ['#seed_openai', 'seed', false],
+    reasoning_effort: ['#openai_reasoning_effort', 'reasoning_effort', false, false],
-    n: ['#n_openai', 'n', false],
+    enable_web_search: ['#openai_enable_web_search', 'enable_web_search', true, false],
-    bypass_status_check: ['#openai_bypass_status_check', 'bypass_status_check', true],
+    seed: ['#seed_openai', 'seed', false, false],
-    request_images: ['#openai_request_images', 'request_images', true],
+    n: ['#n_openai', 'n', false, false],
+    bypass_status_check: ['#openai_bypass_status_check', 'bypass_status_check', true, true],
+    request_images: ['#openai_request_images', 'request_images', true, false],
 };
 const default_settings = {

     openai_model: 'gpt-4-turbo',
     claude_model: 'claude-3-5-sonnet-20240620',
     google_model: 'gemini-1.5-pro',
+    vertexai_model: 'gemini-2.0-flash-001',
     ai21_model: 'jamba-1.6-large',
     mistralai_model: 'mistral-large-latest',
     cohere_model: 'command-r-plus',

     zerooneai_model: 'yi-large',
     deepseek_model: 'deepseek-chat',
     xai_model: 'grok-3-beta',
+    pollinations_model: 'openai',
     custom_model: '',
     custom_url: '',
     custom_include_body: '',

     request_images: false,
     seed: -1,
     n: 1,
+    bind_preset_to_connection: true,
 };
 const oai_settings = {

     openai_model: 'gpt-4-turbo',
     claude_model: 'claude-3-5-sonnet-20240620',
     google_model: 'gemini-1.5-pro',
+    vertexai_model: 'gemini-2.0-flash-001',
     ai21_model: 'jamba-1.6-large',
     mistralai_model: 'mistral-large-latest',
     cohere_model: 'command-r-plus',

     zerooneai_model: 'yi-large',
     deepseek_model: 'deepseek-chat',
     xai_model: 'grok-3-beta',
+    pollinations_model: 'openai',
     custom_model: '',
     custom_url: '',
     custom_include_body: '',

     request_images: false,
     seed: -1,
     n: 1,
+    bind_preset_to_connection: true,
 };
 export let proxies = [

         // Get prompts for current depth
         const depthPrompts = prompts.filter(prompt => prompt.injection_depth === i && prompt.content);
-        // Order of priority (most important go lower)
-        const roles = ['system', 'user', 'assistant'];
         const roleMessages = [];
         const separator = '\n';
         const wrap = false;
-        for (const role of roles) {
+        // Group prompts by priority
-            // Get prompts for current role
+        const extensionPromptsOrder = '100';
-            const rolePrompts = depthPrompts.filter(prompt => prompt.role === role).map(x => x.content).join(separator);
+        const orderGroups = {
-            // Get extension prompt
+            [extensionPromptsOrder]: [],
-            const extensionPrompt = await getExtensionPrompt(extension_prompt_types.IN_CHAT, i, separator, roleTypes[role], wrap);
+        };
+        for (const prompt of depthPrompts) {
-            const jointPrompt = [rolePrompts, extensionPrompt].filter(x => x).map(x => x.trim()).join(separator);
+            const order = prompt.injection_order ?? 100;
+            if (!orderGroups[order]) {
-            if (jointPrompt && jointPrompt.length) {
+                orderGroups[order] = [];
-                roleMessages.push({ 'role': role, 'content': jointPrompt, injected: true });
+            }
+            orderGroups[order].push(prompt);
+        }
+        // Process each order group in order (b - a = low to high ; a - b = high to low)
+        const orders = Object.keys(orderGroups).sort((a, b) => +b - +a);
+        for (const order of orders) {
+            const orderPrompts = orderGroups[order];
+            // Order of priority for roles (most important go lower)
+            const roles = ['system', 'user', 'assistant'];
+            for (const role of roles) {
+                const rolePrompts = orderPrompts
+                    .filter(prompt => prompt.role === role)
+                    .map(x => x.content)
+                    .join(separator);
+                // Get extension prompt
+                const extensionPrompt = order === extensionPromptsOrder
+                    ? await getExtensionPrompt(extension_prompt_types.IN_CHAT, i, separator, roleTypes[role], wrap)
+                    : '';
+                const jointPrompt = [rolePrompts, extensionPrompt].filter(x => x).map(x => x.trim()).join(separator);
+                if (jointPrompt && jointPrompt.length) {
+                    roleMessages.push({ 'role': role, 'content': jointPrompt, injected: true });
+                }
+            }
+        }

  * Combines system prompts with prompt manager prompts
+ *
  * @param {Object} options - An object with optional settings.
- * @param {string} options.Scenario - The scenario or context of the dialogue.
+ * @param {string} options.scenario - The scenario or context of the dialogue.
  * @param {string} options.charPersonality - Description of the character's personality.
  * @param {string} options.name2 - The second name to be used in the messages.
  * @param {string} options.worldInfoBefore - The world info to be added before the main conversation.

  * @param {string} options.personaDescription
  * @returns {Promise<Object>} prompts - The prepared and merged system and user-defined prompts.
  */
-async function preparePromptsForChatCompletion({ Scenario, charPersonality, name2, worldInfoBefore, worldInfoAfter, charDescription, quietPrompt, bias, extensionPrompts, systemPromptOverride, jailbreakPromptOverride, personaDescription }) {
+async function preparePromptsForChatCompletion({ scenario, charPersonality, name2, worldInfoBefore, worldInfoAfter, charDescription, quietPrompt, bias, extensionPrompts, systemPromptOverride, jailbreakPromptOverride, personaDescription }) {
-    const scenarioText = Scenario && oai_settings.scenario_format ? substituteParams(oai_settings.scenario_format) : '';
+    const scenarioText = scenario && oai_settings.scenario_format ? substituteParams(oai_settings.scenario_format) : '';
     const charPersonalityText = charPersonality && oai_settings.personality_format ? substituteParams(oai_settings.personality_format) : '';
     const groupNudge = substituteParams(oai_settings.group_nudge_prompt);
     const impersonationPrompt = oai_settings.impersonation_prompt ? substituteParams(oai_settings.impersonation_prompt) : '';

             prompt.injection_position = collectionPrompt.injection_position ?? prompt.injection_position;
             // Depth for In-Chat
             prompt.injection_depth = collectionPrompt.injection_depth ?? prompt.injection_depth;
+            // Priority for In-Chat
+            prompt.injection_order = collectionPrompt.injection_order ?? prompt.injection_order;
             // Role (system, user, assistant)
             prompt.role = collectionPrompt.role ?? prompt.role;
+        }

  * @param {string} content.name2 - The second name to be used in the messages.
  * @param {string} content.charDescription - Description of the character.
  * @param {string} content.charPersonality - Description of the character's personality.
- * @param {string} content.Scenario - The scenario or context of the dialogue.
+ * @param {string} content.scenario - The scenario or context of the dialogue.
  * @param {string} content.worldInfoBefore - The world info to be added before the main conversation.
  * @param {string} content.worldInfoAfter - The world info to be added after the main conversation.
  * @param {string} content.bias - The bias to be added in the conversation.

     name2,
     charDescription,
     charPersonality,
-    Scenario,
+    scenario,
     worldInfoBefore,
     worldInfoAfter,
     bias,

     try {
         // Merge markers and ordered user prompts with system prompts
         const prompts = await preparePromptsForChatCompletion({
-            Scenario,
+            scenario,
             charPersonality,
             name2,
             worldInfoBefore,
             worldInfoAfter,
             charDescription,
             quietPrompt,
-            quietImage,
             bias,
             extensionPrompts,
             systemPromptOverride,
             jailbreakPromptOverride,
             personaDescription,
-            messages,
-            messageExamples,
         });
         // Fill the chat completion with as much context as the budget allows

             return '';
         case chat_completion_sources.MAKERSUITE:
             return oai_settings.google_model;
+        case chat_completion_sources.VERTEXAI:
+            return oai_settings.vertexai_model;
         case chat_completion_sources.OPENROUTER:
             return oai_settings.openrouter_model !== openrouter_website_model ? oai_settings.openrouter_model : null;
         case chat_completion_sources.AI21:

             return oai_settings.deepseek_model;
         case chat_completion_sources.XAI:
             return oai_settings.xai_model;
+        case chat_completion_sources.POLLINATIONS:
+            return oai_settings.pollinations_model;
         default:
-            throw new Error(`Unknown chat completion source: ${activeSource}`);
+            console.error(`Unknown chat completion source: ${activeSource}`);
+            return '';
+    }
+}

         $('#model_deepseek_select').val(oai_settings.deepseek_model).trigger('change');
+    }
+    if (oai_settings.chat_completion_source === chat_completion_sources.POLLINATIONS) {
+        $('#model_pollinations_select').empty();
+        model_list.forEach((model) => {
+            $('#model_pollinations_select').append(
+                $('<option>', {
+                    value: model.id,
+                    text: model.id,
+                }));
+        });
+        const selectedModel = model_list.find(model => model.id === oai_settings.pollinations_model);
+        if (model_list.length > 0 && (!selectedModel || !oai_settings.pollinations_model)) {
+            oai_settings.pollinations_model = model_list[0].id;
+        }
+        $('#model_pollinations_select').val(oai_settings.pollinations_model).trigger('change');
+    }
+}
 function appendOpenRouterOptions(model_list, groupModels = false, sort = false) {

         chat_completion_sources.CUSTOM,
         chat_completion_sources.XAI,
         chat_completion_sources.OPENROUTER,
+        chat_completion_sources.POLLINATIONS,
     ];
     if (!reasoningEffortSources.includes(oai_settings.chat_completion_source)) {

     const isOpenRouter = oai_settings.chat_completion_source == chat_completion_sources.OPENROUTER;
     const isScale = oai_settings.chat_completion_source == chat_completion_sources.SCALE;
     const isGoogle = oai_settings.chat_completion_source == chat_completion_sources.MAKERSUITE;
+    const isVertexAI = oai_settings.chat_completion_source == chat_completion_sources.VERTEXAI;
     const isOAI = oai_settings.chat_completion_source == chat_completion_sources.OPENAI;
     const isMistral = oai_settings.chat_completion_source == chat_completion_sources.MISTRALAI;
     const isCustom = oai_settings.chat_completion_source == chat_completion_sources.CUSTOM;

     const isNano = oai_settings.chat_completion_source == chat_completion_sources.NANOGPT;
     const isDeepSeek = oai_settings.chat_completion_source == chat_completion_sources.DEEPSEEK;
     const isXAI = oai_settings.chat_completion_source == chat_completion_sources.XAI;
+    const isPollinations = oai_settings.chat_completion_source == chat_completion_sources.POLLINATIONS;
     const isTextCompletion = isOAI && textCompletionModels.includes(oai_settings.openai_model);
     const isQuiet = type === 'quiet';
     const isImpersonate = type === 'impersonate';

         delete generate_data.stop;
+    }
-    // Proxy is only supported for Claude, OpenAI, Mistral, and Google MakerSuite
+    // Proxy is only supported for Claude, OpenAI, Mistral, Google MakerSuite, and Vertex AI
-    if (oai_settings.reverse_proxy && [chat_completion_sources.CLAUDE, chat_completion_sources.OPENAI, chat_completion_sources.MISTRALAI, chat_completion_sources.MAKERSUITE, chat_completion_sources.DEEPSEEK, chat_completion_sources.XAI].includes(oai_settings.chat_completion_source)) {
+    if (oai_settings.reverse_proxy && [chat_completion_sources.CLAUDE, chat_completion_sources.OPENAI, chat_completion_sources.MISTRALAI, chat_completion_sources.MAKERSUITE, chat_completion_sources.VERTEXAI, chat_completion_sources.DEEPSEEK, chat_completion_sources.XAI].includes(oai_settings.chat_completion_source)) {
         await validateReverseProxy();
         generate_data['reverse_proxy'] = oai_settings.reverse_proxy;
         generate_data['proxy_password'] = oai_settings.proxy_password;

         generate_data['api_url_scale'] = oai_settings.api_url_scale;
+    }
-    if (isGoogle) {
+    if (isGoogle || isVertexAI) {
         const stopStringsLimit = 5;
         generate_data['top_k'] = Number(oai_settings.top_k_openai);
         generate_data['stop'] = getCustomStoppingStrings(stopStringsLimit).slice(0, stopStringsLimit).filter(x => x.length >= 1 && x.length <= 16);

@@ -2210,7 +2269,15 @@ async function sendOpenAIRequest(type, messages, signal) {
2210	}	2269	}
2211	}	2270	}
2212		2271
2213	if ((isOAI \|\| isOpenRouter \|\| isMistral \|\| isCustom \|\| isCohere \|\| isNano \|\| isXAI) && oai_settings.seed >= 0) {	2272	if (isPollinations) {
		2273	delete generate_data.temperature;
		2274	delete generate_data.top_p;
		2275	delete generate_data.frequency_penalty;
		2276	delete generate_data.presence_penalty;
		2277	delete generate_data.max_tokens;
		2278	}
		2279
		2280	if ((isOAI \|\| isOpenRouter \|\| isMistral \|\| isCustom \|\| isCohere \|\| isNano \|\| isXAI \|\| isPollinations) && oai_settings.seed >= 0) {
2214	generate_data['seed'] = oai_settings.seed;	2281	generate_data['seed'] = oai_settings.seed;
2215	}	2282	}
2216		2283

             state.reasoning += data?.delta?.thinking || '';
+        }
         return data?.delta?.text || '';
-    } else if (chat_completion_source === chat_completion_sources.MAKERSUITE) {
+    } else if ([chat_completion_sources.MAKERSUITE, chat_completion_sources.VERTEXAI].includes(chat_completion_source)) {
         const inlineData = data?.candidates?.[0]?.content?.parts?.find(x => x.inlineData)?.inlineData;
         if (inlineData) {
             state.image = `data:${inlineData.mimeType};base64,${inlineData.data}`;

         return null;
+    }
-    /** @type {({ token: string, logprob: number }) => [string, number]} */
+    /** @type {(x: { token: string, logprob: number }) => [string, number]} */
     const toTuple = (x) => [x.token, x.logprob];
     return content.map(({ token, logprob, top_logprobs }) => {
         // Add the chosen token to top_logprobs if it's not already there, then
         // convert to a list of [token, logprob] pairs
         const chosenTopToken = top_logprobs.some((top) => token === top.token);
+        /** @type {import('./logprobs.js').Candidate[]} */
         const topLogprobs = chosenTopToken
             ? top_logprobs.map(toTuple)
             : [...top_logprobs.map(toTuple), [token, logprob]];

     return tokens.map((token, i) => {
         // Add the chosen token to top_logprobs if it's not already there, then
         // convert to a list of [token, logprob] pairs
+        /** @type {any[]} */
         const topLogprobs = top_logprobs[i] ? Object.entries(top_logprobs[i]) : [];
         const chosenTopToken = topLogprobs.some(([topToken]) => token === topToken);
         if (!chosenTopToken) {

      * @returns {Promise<string>} Compressed image as a Data URL.
      */
     async compressImage(image) {
-        if ([chat_completion_sources.OPENROUTER, chat_completion_sources.MAKERSUITE, chat_completion_sources.MISTRALAI].includes(oai_settings.chat_completion_source)) {
+        const compressImageSources = [
+            chat_completion_sources.OPENROUTER,
+            chat_completion_sources.MAKERSUITE,
+            chat_completion_sources.MISTRALAI,
+            chat_completion_sources.VERTEXAI,
+        ];
+        if (compressImageSources.includes(oai_settings.chat_completion_source)) {
             const sizeThreshold = 2 * 1024 * 1024;
             const dataSize = image.length * 0.75;
             const maxSide = 1024;

     openai_setting_names = arr_holder;
     oai_settings.preset_settings_openai = settings.preset_settings_openai;
-    $(`#settings_preset_openai option[value=${openai_setting_names[oai_settings.preset_settings_openai]}]`).attr('selected', true);
+    $(`#settings_preset_openai option[value=${openai_setting_names[oai_settings.preset_settings_openai]}]`).prop('selected', true);
     oai_settings.temp_openai = settings.temp_openai ?? default_settings.temp_openai;
     oai_settings.freq_pen_openai = settings.freq_pen_openai ?? default_settings.freq_pen_openai;

     oai_settings.deepseek_model = settings.deepseek_model ?? default_settings.deepseek_model;
     oai_settings.zerooneai_model = settings.zerooneai_model ?? default_settings.zerooneai_model;
     oai_settings.xai_model = settings.xai_model ?? default_settings.xai_model;
+    oai_settings.pollinations_model = settings.pollinations_model ?? default_settings.pollinations_model;
     oai_settings.custom_model = settings.custom_model ?? default_settings.custom_model;
     oai_settings.custom_url = settings.custom_url ?? default_settings.custom_url;
     oai_settings.custom_include_body = settings.custom_include_body ?? default_settings.custom_include_body;

     oai_settings.custom_include_headers = settings.custom_include_headers ?? default_settings.custom_include_headers;
     oai_settings.custom_prompt_post_processing = settings.custom_prompt_post_processing ?? default_settings.custom_prompt_post_processing;
     oai_settings.google_model = settings.google_model ?? default_settings.google_model;
+    oai_settings.vertexai_model = settings.vertexai_model ?? default_settings.vertexai_model;
     oai_settings.chat_completion_source = settings.chat_completion_source ?? default_settings.chat_completion_source;
     oai_settings.api_url_scale = settings.api_url_scale ?? default_settings.api_url_scale;
     oai_settings.show_external_models = settings.show_external_models ?? default_settings.show_external_models;

     oai_settings.continue_postfix = settings.continue_postfix ?? default_settings.continue_postfix;
     oai_settings.function_calling = settings.function_calling ?? default_settings.function_calling;
     oai_settings.openrouter_providers = settings.openrouter_providers ?? default_settings.openrouter_providers;
+    oai_settings.bind_preset_to_connection = settings.bind_preset_to_connection ?? default_settings.bind_preset_to_connection;
     // Migrate from old settings
     if (settings.names_in_completion === true) {

     $(`#openai_inline_image_quality option[value="${oai_settings.inline_image_quality}"]`).prop('selected', true);
     $('#model_openai_select').val(oai_settings.openai_model);
-    $(`#model_openai_select option[value="${oai_settings.openai_model}"`).attr('selected', true);
+    $(`#model_openai_select option[value="${oai_settings.openai_model}"`).prop('selected', true);
     $('#model_claude_select').val(oai_settings.claude_model);
-    $(`#model_claude_select option[value="${oai_settings.claude_model}"`).attr('selected', true);
+    $(`#model_claude_select option[value="${oai_settings.claude_model}"`).prop('selected', true);
     $('#model_windowai_select').val(oai_settings.windowai_model);
-    $(`#model_windowai_select option[value="${oai_settings.windowai_model}"`).attr('selected', true);
+    $(`#model_windowai_select option[value="${oai_settings.windowai_model}"`).prop('selected', true);
     $('#model_google_select').val(oai_settings.google_model);
-    $(`#model_google_select option[value="${oai_settings.google_model}"`).attr('selected', true);
+    $(`#model_google_select option[value="${oai_settings.google_model}"`).prop('selected', true);
+    $('#model_vertexai_select').val(oai_settings.vertexai_model);
+    $(`#model_vertexai_select option[value="${oai_settings.vertexai_model}"`).prop('selected', true);
     $('#model_ai21_select').val(oai_settings.ai21_model);
-    $(`#model_ai21_select option[value="${oai_settings.ai21_model}"`).attr('selected', true);
+    $(`#model_ai21_select option[value="${oai_settings.ai21_model}"`).prop('selected', true);
     $('#model_mistralai_select').val(oai_settings.mistralai_model);
-    $(`#model_mistralai_select option[value="${oai_settings.mistralai_model}"`).attr('selected', true);
+    $(`#model_mistralai_select option[value="${oai_settings.mistralai_model}"`).prop('selected', true);
     $('#model_cohere_select').val(oai_settings.cohere_model);
-    $(`#model_cohere_select option[value="${oai_settings.cohere_model}"`).attr('selected', true);
+    $(`#model_cohere_select option[value="${oai_settings.cohere_model}"`).prop('selected', true);
     $('#model_perplexity_select').val(oai_settings.perplexity_model);
-    $(`#model_perplexity_select option[value="${oai_settings.perplexity_model}"`).attr('selected', true);
+    $(`#model_perplexity_select option[value="${oai_settings.perplexity_model}"`).prop('selected', true);
     $('#model_groq_select').val(oai_settings.groq_model);
-    $(`#model_groq_select option[value="${oai_settings.groq_model}"`).attr('selected', true);
+    $(`#model_groq_select option[value="${oai_settings.groq_model}"`).prop('selected', true);
     $('#model_nanogpt_select').val(oai_settings.nanogpt_model);
-    $(`#model_nanogpt_select option[value="${oai_settings.nanogpt_model}"`).attr('selected', true);
+    $(`#model_nanogpt_select option[value="${oai_settings.nanogpt_model}"`).prop('selected', true);
     $('#model_deepseek_select').val(oai_settings.deepseek_model);
     $(`#model_deepseek_select option[value="${oai_settings.deepseek_model}"`).prop('selected', true);
     $('#model_01ai_select').val(oai_settings.zerooneai_model);
     $('#model_xai_select').val(oai_settings.xai_model);
-    $(`#model_xai_select option[value="${oai_settings.xai_model}"`).attr('selected', true);
+    $(`#model_xai_select option[value="${oai_settings.xai_model}"`).prop('selected', true);
+    $('#model_pollinations_select').val(oai_settings.pollinations_model);
+    $(`#model_pollinations_select option[value="${oai_settings.pollinations_model}"`).prop('selected', true);
     $('#custom_model_id').val(oai_settings.custom_model);
     $('#custom_api_url_text').val(oai_settings.custom_url);
     $('#openai_max_context').val(oai_settings.openai_max_context);

     $('#openai_show_thoughts').prop('checked', oai_settings.show_thoughts);
     $('#openai_enable_web_search').prop('checked', oai_settings.enable_web_search);
     $('#openai_request_images').prop('checked', oai_settings.request_images);
+    $('#bind_preset_to_connection').prop('checked', oai_settings.bind_preset_to_connection);
     $('#openai_reasoning_effort').val(oai_settings.reasoning_effort);
     $(`#openai_reasoning_effort option[value="${oai_settings.reasoning_effort}"]`).prop('selected', true);

     $('#chat_completion_source').val(oai_settings.chat_completion_source).trigger('change');
     $('#oai_max_context_unlocked').prop('checked', oai_settings.max_context_unlocked);
     $('#custom_prompt_post_processing').val(oai_settings.custom_prompt_post_processing);
-    $(`#custom_prompt_post_processing option[value="${oai_settings.custom_prompt_post_processing}"]`).attr('selected', true);
+    $(`#custom_prompt_post_processing option[value="${oai_settings.custom_prompt_post_processing}"]`).prop('selected', true);
+}
 function setNamesBehaviorControls() {

         chat_completion_sources.CLAUDE,
         chat_completion_sources.AI21,
         chat_completion_sources.MAKERSUITE,
+        chat_completion_sources.VERTEXAI,
         chat_completion_sources.PERPLEXITY,
         chat_completion_sources.GROQ,
     ];

         chat_completion_source: oai_settings.chat_completion_source,
     };
-    if (oai_settings.reverse_proxy && [chat_completion_sources.CLAUDE, chat_completion_sources.OPENAI, chat_completion_sources.MISTRALAI, chat_completion_sources.MAKERSUITE, chat_completion_sources.DEEPSEEK, chat_completion_sources.XAI].includes(oai_settings.chat_completion_source)) {
+    const validateProxySources = [
+        chat_completion_sources.CLAUDE,
+        chat_completion_sources.OPENAI,
+        chat_completion_sources.MISTRALAI,
+        chat_completion_sources.MAKERSUITE,
+        chat_completion_sources.VERTEXAI,
+        chat_completion_sources.DEEPSEEK,
+        chat_completion_sources.XAI,
+    ];
+    if (oai_settings.reverse_proxy && validateProxySources.includes(oai_settings.chat_completion_source)) {
         await validateReverseProxy();
+    }

         perplexity_model: settings.perplexity_model,
         groq_model: settings.groq_model,
         zerooneai_model: settings.zerooneai_model,
+        xai_model: settings.xai_model,
+        pollinations_model: settings.pollinations_model,
         custom_model: settings.custom_model,
         custom_url: settings.custom_url,
         custom_include_body: settings.custom_include_body,

         custom_include_headers: settings.custom_include_headers,
         custom_prompt_post_processing: settings.custom_prompt_post_processing,
         google_model: settings.google_model,
+        vertexai_model: settings.vertexai_model,
         temperature: settings.temp_openai,
         frequency_penalty: settings.freq_pen_openai,
         presence_penalty: settings.pres_pen_openai,

         n: settings.n,
     };
-    const savePresetSettings = await fetch(`/api/presets/save-openai?name=${name}`, {
+    const savePresetSettings = await fetch(`/api/presets/save-openai?name=${encodeURIComponent(name)}`, {
         method: 'POST',
         headers: getRequestHeaders(),
         body: JSON.stringify(presetBody),

             oai_settings.preset_settings_openai = data.name;
             const value = openai_setting_names[data.name];
             Object.assign(openai_settings[value], presetBody);
-            $(`#settings_preset_openai option[value="${value}"]`).attr('selected', true);
+            $(`#settings_preset_openai option[value="${value}"]`).prop('selected', true);
             if (triggerUi) $('#settings_preset_openai').trigger('change');
+        }
         else {

             openai_setting_names[data.name] = openai_settings.length - 1;
             const option = document.createElement('option');
             option.selected = true;
-            option.value = openai_settings.length - 1;
+            option.value = String(openai_settings.length - 1);
             option.innerText = data.name;
             if (triggerUi) $('#settings_preset_openai').append(option).trigger('change');
+        }

     await eventSource.emit(event_types.OAI_PRESET_IMPORT_READY, { data: presetBody, presetName: name });
-    const savePresetSettings = await fetch(`/api/presets/save-openai?name=${name}`, {
+    const savePresetSettings = await fetch(`/api/presets/save-openai?name=${encodeURIComponent(name)}`, {
         method: 'POST',
         headers: getRequestHeaders(),
         body: importedFile,

         oai_settings.preset_settings_openai = data.name;
         const value = openai_setting_names[data.name];
         Object.assign(openai_settings[value], presetBody);
-        $(`#settings_preset_openai option[value="${value}"]`).attr('selected', true);
+        $(`#settings_preset_openai option[value="${value}"]`).prop('selected', true);
         $('#settings_preset_openai').trigger('change');
     } else {
         openai_settings.push(presetBody);
         openai_setting_names[data.name] = openai_settings.length - 1;
         const option = document.createElement('option');
         option.selected = true;
-        option.value = openai_settings.length - 1;
+        option.value = String(openai_settings.length - 1);
         option.innerText = data.name;
         $('#settings_preset_openai').append(option).trigger('change');
+    }

     const preset = structuredClone(openai_settings[openai_setting_names[oai_settings.preset_settings_openai]]);
     const fieldValues = sensitiveFields.filter(field => preset[field]).map(field => `<b>${field}</b>: <code>${preset[field]}</code>`);
-    const shouldConfirm = fieldValues.length > 0;
+    if (fieldValues.length > 0) {
-    const textHeader = t`Your preset contains proxy and/or custom endpoint settings.`;
+        const textHeader = t`Your preset contains proxy and/or custom endpoint settings.`;
-    const textMessage = '<div>' + t`Do you want to remove these fields before exporting?` + `</div><br>${DOMPurify.sanitize(fieldValues.join('<br>'))}`;
+        const textMessage = '<div>' + t`Do you want to remove these fields before exporting?` + `</div><br>${DOMPurify.sanitize(fieldValues.join('<br>'))}`;
-    const cancelButton = { text: 'Cancel', result: POPUP_RESULT.CANCELLED, appendAtEnd: true };
+        const cancelButton = { text: 'Cancel', result: POPUP_RESULT.CANCELLED, appendAtEnd: true };
-    const popupOptions = { customButtons: [cancelButton] };
+        const popupOptions = { customButtons: [cancelButton] };
-    const popupResult = await Popup.show.confirm(textHeader, textMessage, popupOptions);
+        const popupResult = await Popup.show.confirm(textHeader, textMessage, popupOptions);
-    if (popupResult === POPUP_RESULT.CANCELLED) {
+        if (popupResult === POPUP_RESULT.CANCELLED) {
-        console.log('Export cancelled by user');
+            console.log('Export cancelled by user');
-        return;
+            return;
+        }
+        if (popupResult === POPUP_RESULT.AFFIRMATIVE) {
+            sensitiveFields.forEach(field => delete preset[field]);
+        }
+    }
-    if (!shouldConfirm || popupResult === POPUP_RESULT.AFFIRMATIVE) {
+    const exportConnectionTemplate = $(await renderTemplateAsync('exportPreset'));
-        sensitiveFields.forEach(field => delete preset[field]);
+    await new Popup(exportConnectionTemplate, POPUP_TYPE.TEXT).show();
+    const removeConnectionData = exportConnectionTemplate.find('input[name="export_connection_data"]:checked').val() === 'false';
+    if (removeConnectionData) {
+        for (const [, [, settingName, , isConnection]] of Object.entries(settingsToUpdate)) {
+            if (isConnection) {
+                delete preset[settingName];
+            }
+        }
+    }
     await eventSource.emit(event_types.OAI_PRESET_EXPORT_READY, preset);

     if (Object.keys(openai_setting_names).length) {
         oai_settings.preset_settings_openai = Object.keys(openai_setting_names)[0];
         const newValue = openai_setting_names[oai_settings.preset_settings_openai];
-        $(`#settings_preset_openai option[value="${newValue}"]`).attr('selected', true);
+        $(`#settings_preset_openai option[value="${newValue}"]`).prop('selected', true);
         $('#settings_preset_openai').trigger('change');
+    }

     if (Object.keys(oai_settings.bias_presets).length) {
         oai_settings.bias_preset_selected = Object.keys(oai_settings.bias_presets)[0];
-        $(`#openai_logit_bias_preset option[value="${oai_settings.bias_preset_selected}"]`).attr('selected', true);
+        $(`#openai_logit_bias_preset option[value="${oai_settings.bias_preset_selected}"]`).prop('selected', true);
         $('#openai_logit_bias_preset').trigger('change');
+    }

         savePreset: saveOpenAIPreset,
         presetNameBefore: presetNameBefore,
     }).finally(r => {
-        $('.model_custom_select').empty();
+        if (oai_settings.bind_preset_to_connection) {
+            $('.model_custom_select').empty();
+        }
+        for (const [key, [selector, setting, isCheckbox, isConnection]] of Object.entries(settingsToUpdate)) {
+            if (isConnection && !oai_settings.bind_preset_to_connection) {
+                continue;
+            }
-        for (const [key, [selector, setting, isCheckbox]] of Object.entries(settingsToUpdate)) {
             if (preset[key] !== undefined) {
                 if (isCheckbox) {
                     updateCheckbox(selector, preset[key]);

+            }
+        }
-        $('#chat_completion_source').trigger('change');
+        // These cannot be changed via preset if unbound to connection
+        if (oai_settings.bind_preset_to_connection) {
+            $('#chat_completion_source').trigger('change');
+            $('#openrouter_providers_chat').trigger('change');
+        }
         $('#openai_logit_bias_preset').trigger('change');
-        $('#openrouter_providers_chat').trigger('change');
         saveSettingsDebounced();
         eventSource.emit(event_types.OAI_PRESET_CHANGED_AFTER);

         'codestral-2405': 32768,
         'mistral-embed': 32768,
         'mistral-large-2402': 32768,
-        'mistral-medium': 32768,
+        'mistral-medium': 131072,
         'mistral-medium-2312': 32768,
-        'mistral-medium-latest': 32768,
+        'mistral-medium-2505': 131072,
+        'mistral-medium-latest': 131072,
         'mistral-moderation-2411': 32768,
         'mistral-moderation-latest': 32768,
         'mistral-ocr-2503': 32768,

         'mistral-tiny-2312': 32768,
         'open-mistral-7b': 32768,
         'open-mixtral-8x7b': 32768,
+        'devstral-small-2505': 131072,
+        'devstral-small-latest': 131072,
     };
     // Return context size if model found, otherwise default to 32k

         oai_settings.google_model = value;
+    }
+    if ($(this).is('#model_vertexai_select')) {
+        console.log('Vertex AI model changed to', value);
+        oai_settings.vertexai_model = value;
+    }
     if ($(this).is('#model_mistralai_select')) {
         // Upgrade old mistral models to new naming scheme
         // would have done this in loadOpenAISettings, but it wasn't updating on preset change?

         $('#custom_model_id').val(value).trigger('input');
+    }
+    if (value && $(this).is('#model_pollinations_select')) {
+        console.log('Pollinations model changed to', value);
+        oai_settings.pollinations_model = value;
+    }
     if ($(this).is('#model_xai_select')) {
         console.log('XAI model changed to', value);
         oai_settings.xai_model = value;

         $('#temp_openai').attr('max', oai_max_temp).val(oai_settings.temp_openai).trigger('input');
+    }
-    if (oai_settings.chat_completion_source == chat_completion_sources.MAKERSUITE) {
+    if ([chat_completion_sources.MAKERSUITE, chat_completion_sources.VERTEXAI].includes(oai_settings.chat_completion_source)) {
         if (oai_settings.max_context_unlocked) {
             $('#openai_max_context').attr('max', max_2mil);
         } else if (value.includes('gemini-1.5-pro')) {

@@ -4529,7 +4661,7 @@ async function onModelChange() {
4529	if (oai_settings.max_context_unlocked) {	4661	if (oai_settings.max_context_unlocked) {
4530	$('#openai_max_context').attr('max', max_200k);	4662	$('#openai_max_context').attr('max', max_200k);
4531	}	4663	}
4532	else if (value == 'claude-2.1' \|\| value.startsWith('claude-3')) {	4664	else if (value == 'claude-2.1' \|\| value.startsWith('claude-3') \|\| value.startsWith('claude-opus') \|\| value.startsWith('claude-sonnet')) {
4533	$('#openai_max_context').attr('max', max_200k);	4665	$('#openai_max_context').attr('max', max_200k);
4534	}	4666	}
4535	else if (value.endsWith('100k') \|\| value.startsWith('claude-2') \|\| value === 'claude-instant-1.2') {	4667	else if (value.endsWith('100k') \|\| value.startsWith('claude-2') \|\| value === 'claude-instant-1.2') {

         $('#temp_openai').attr('max', oai_max_temp).val(oai_settings.temp_openai).trigger('input');
+    }
+    if (oai_settings.chat_completion_source === chat_completion_sources.POLLINATIONS) {
+        if (oai_settings.max_context_unlocked) {
+            $('#openai_max_context').attr('max', unlocked_max);
+        } else {
+            $('#openai_max_context').attr('max', max_128k);
+        }
+        oai_settings.openai_max_context = Math.min(Number($('#openai_max_context').attr('max')), oai_settings.openai_max_context);
+        $('#openai_max_context').val(oai_settings.openai_max_context).trigger('input');
+        $('#temp_openai').attr('max', oai_max_temp).val(oai_settings.temp_openai).trigger('input');
+    }
     if (oai_settings.chat_completion_source === chat_completion_sources.DEEPSEEK) {
         if (oai_settings.max_context_unlocked) {
             $('#openai_max_context').attr('max', unlocked_max);

+        }
+    }
+    if (oai_settings.chat_completion_source == chat_completion_sources.VERTEXAI) {
+        const api_key_vertexai = String($('#api_key_vertexai').val()).trim();
+        if (api_key_vertexai.length) {
+            await writeSecret(SECRET_KEYS.VERTEXAI, api_key_vertexai);
+        }
+        if (!secret_state[SECRET_KEYS.VERTEXAI] && !oai_settings.reverse_proxy) {
+            console.log('No secret key saved for Vertex AI');
+            return;
+        }
+    }
     if (oai_settings.chat_completion_source == chat_completion_sources.CLAUDE) {
         const api_key_claude = String($('#api_key_claude').val()).trim();

@@ -5011,6 +5168,9 @@ function toggleChatCompletionForms() {
5011	else if (oai_settings.chat_completion_source == chat_completion_sources.MAKERSUITE) {	5168	else if (oai_settings.chat_completion_source == chat_completion_sources.MAKERSUITE) {
5012	$('#model_google_select').trigger('change');	5169	$('#model_google_select').trigger('change');
5013	}	5170	}
		5171	else if (oai_settings.chat_completion_source == chat_completion_sources.VERTEXAI) {
		5172	$('#model_vertexai_select').trigger('change');
		5173	}
5014	else if (oai_settings.chat_completion_source == chat_completion_sources.OPENROUTER) {	5174	else if (oai_settings.chat_completion_source == chat_completion_sources.OPENROUTER) {
5015	$('#model_openrouter_select').trigger('change');	5175	$('#model_openrouter_select').trigger('change');
5016	}	5176	}

     else if (oai_settings.chat_completion_source == chat_completion_sources.XAI) {
         $('#model_xai_select').trigger('change');
+    }
+    else if (oai_settings.chat_completion_source == chat_completion_sources.POLLINATIONS) {
+        $('#model_pollinations_select').trigger('change');
+    }
     $('[data-source]').each(function () {
         const validSources = $(this).data('source').split(',');
         $(this).toggle(validSources.includes(oai_settings.chat_completion_source));

@@ -5058,7 +5221,7 @@ async function testApiConnection() {
5058	}	5221	}
5059		5222
5060	try {	5223	try {
5061	const reply = await sendOpenAIRequest('quiet', [{ 'role': 'user', 'content': 'Hi' }]);	5224	const reply = await sendOpenAIRequest('quiet', [{ 'role': 'user', 'content': 'Hi' }], new AbortController().signal);
5062	console.log(reply);	5225	console.log(reply);
5063	toastr.success(t`API connection successful!`);	5226	toastr.success(t`API connection successful!`);
5064	}	5227	}

         'yi-vision',
         // Claude
         'claude-3',
+        'claude-opus-4',
+        'claude-sonnet-4',
         // Cohere
         'c4ai-aya-vision',
         // Google AI Studio

         // MistralAI
         'mistral-small-2503',
         'mistral-small-latest',
+        'mistral-medium-latest',
+        'mistral-medium-2505',
         'pixtral',
         // xAI (Grok)
         'grok-2-vision',

             );
         case chat_completion_sources.MAKERSUITE:
             return visionSupportedModels.some(model => oai_settings.google_model.includes(model));
+        case chat_completion_sources.VERTEXAI:
+            return visionSupportedModels.some(model => oai_settings.vertexai_model.includes(model));
         case chat_completion_sources.CLAUDE:
             return visionSupportedModels.some(model => oai_settings.claude_model.includes(model));
         case chat_completion_sources.OPENROUTER:

             return visionSupportedModels.some(model => oai_settings.cohere_model.includes(model));
         case chat_completion_sources.XAI:
             return visionSupportedModels.some(model => oai_settings.xai_model.includes(model));
+        case chat_completion_sources.POLLINATIONS:
+            return (Array.isArray(model_list) && model_list.find(m => m.id === oai_settings.pollinations_model)?.vision);
         default:
             return false;
+    }

     toastr.success(t`Proxy Saved`);
     if ($('#openai_proxy_preset').val() !== presetName) {
         const option = document.createElement('option');
-        option.text = presetName;
+        option.text = String(presetName);
-        option.value = presetName;
+        option.value = String(presetName);
         $('#openai_proxy_preset').append(option);
+    }

         saveSettingsDebounced();
     });
+    $('#bind_preset_to_connection').on('input', function () {
+        oai_settings.bind_preset_to_connection = !!$(this).prop('checked');
+        saveSettingsDebounced();
+    });
     $('#api_button_openai').on('click', onConnectButtonClick);
     $('#openai_reverse_proxy').on('input', onReverseProxyInput);
     $('#model_openai_select').on('change', onModelChange);

     $('#model_windowai_select').on('change', onModelChange);
     $('#model_scale_select').on('change', onModelChange);
     $('#model_google_select').on('change', onModelChange);
+    $('#model_vertexai_select').on('change', onModelChange);
     $('#model_openrouter_select').on('change', onModelChange);
     $('#openrouter_group_models').on('change', onOpenrouterModelSortChange);
     $('#openrouter_sort_models').on('change', onOpenrouterModelSortChange);

     $('#model_01ai_select').on('change', onModelChange);
     $('#model_custom_select').on('change', onModelChange);
     $('#model_xai_select').on('change', onModelChange);
+    $('#model_pollinations_select').on('change', onModelChange);
     $('#settings_preset_openai').on('change', onSettingsPresetChange);
     $('#new_oai_preset').on('click', onNewPresetClick);
     $('#delete_oai_preset').on('click', onDeletePresetClick);

public/scripts/personas.js+1 -1 Viewed

     $('#char_connections_button').on('click', showCharConnections);
-    eventSource.on('charManagementDropdown', (target) => {
+    eventSource.on(event_types.CHARACTER_MANAGEMENT_DROPDOWN, (target) => {
         if (target === 'convert_to_persona') {
             convertCharacterToPersona();
+        }

public/scripts/popup.js+3 -3 Viewed

 import dialogPolyfill from '../lib/dialog-polyfill.esm.js';
 import { shouldSendOnEnter } from './RossAscends-mods.js';
-import { power_user } from './power-user.js';
+import { power_user, toastPositionClasses } from './power-user.js';
 import { removeFromArray, runAfterAnimation, uuidv4 } from './utils.js';
 /** @readonly */

  */
 export function fixToastrForDialogs() {
     // Hacky way of getting toastr to actually display on top of the popup...
     const dlg = Array.from(document.querySelectorAll('dialog[open]:not([closing])')).pop();
     let toastContainer = document.getElementById('toast-container');

@@ -745,7 +744,8 @@ export function fixToastrForDialogs() {
745	toastContainer.remove();	744	toastContainer.remove();
746	} else {	745	} else {
747	document.body.appendChild(toastContainer);	746	document.body.appendChild(toastContainer);
748	toastContainer.classList.add('toast-top-center');	747	toastContainer.classList.remove(...toastPositionClasses);
		748	toastContainer.classList.add(toastr.options.positionClass);
749	}	749	}
750	}	750	}
751	}	751	}

public/scripts/power-user.js+62 -1 Viewed

 import { AUTOCOMPLETE_SELECT_KEY, AUTOCOMPLETE_WIDTH } from './autocomplete/AutoComplete.js';
 import { SlashCommandEnumValue, enumTypes } from './slash-commands/SlashCommandEnumValue.js';
 import { commonEnumProviders, enumIcons } from './slash-commands/SlashCommandCommonEnumsProvider.js';
-import { POPUP_TYPE, callGenericPopup } from './popup.js';
+import { POPUP_TYPE, callGenericPopup, fixToastrForDialogs } from './popup.js';
 import { loadSystemPrompts } from './sysprompt.js';
 import { fuzzySearchCategories } from './filters.js';
 import { accountStorage } from './util/AccountStorage.js';

     applyPowerUserSettings,
 };
+export const toastPositionClasses = [
+    'toast-top-left',
+    'toast-top-center',
+    'toast-top-right',
+    'toast-bottom-left',
+    'toast-bottom-center',
+    'toast-bottom-right',
+];
 export const MAX_CONTEXT_DEFAULT = 8192;
 export const MAX_RESPONSE_DEFAULT = 2048;
 const MAX_CONTEXT_UNLOCKED = 512 * 1024;

 const defaultStoryString = '{{#if system}}{{system}}\n{{/if}}{{#if description}}{{description}}\n{{/if}}{{#if personality}}{{char}}\'s personality: {{personality}}\n{{/if}}{{#if scenario}}Scenario: {{scenario}}\n{{/if}}{{#if persona}}{{persona}}\n{{/if}}';
 const defaultExampleSeparator = '***';
 const defaultChatStart = '***';
+const defaultToastPosition = 'toast-top-center';
 const avatar_styles = {
     ROUND: 0,
     RECTANGULAR: 1,
     SQUARE: 2,
+    ROUNDED: 3,
 };
 export const chat_styles = {

     fast_ui_mode: true,
     avatar_style: avatar_styles.ROUND,
     chat_display: chat_styles.DEFAULT,
+    toastr_position: defaultToastPosition,
     chat_width: 50,
     never_resize_avatars: false,
     show_card_avatar_urls: false,

     external_media_allowed_overrides: [],
     external_media_forbidden_overrides: [],
     pin_styles: true,
+    click_to_edit: false,
 };
 let themes = [];

 function applyAvatarStyle() {
     $('body').toggleClass('big-avatars', power_user.avatar_style === avatar_styles.RECTANGULAR);
     $('body').toggleClass('square-avatars', power_user.avatar_style === avatar_styles.SQUARE);
+    $('body').toggleClass('rounded-avatars', power_user.avatar_style === avatar_styles.ROUNDED);
     $('#avatar_style').val(power_user.avatar_style).prop('selected', true);
+}

+    }
+}
+function applyToastrPosition() {
+    if (!toastPositionClasses.includes(power_user.toastr_position)) {
+        power_user.toastr_position = defaultToastPosition;
+        console.warn(`applyToastrPosition: invalid toastr position, defaulting to ${defaultToastPosition}`);
+    }
+    toastr.options.positionClass = power_user.toastr_position;
+    fixToastrForDialogs();
+    $('#toastr_position').val(power_user.toastr_position).prop('selected', true);
+}
 function applyChatWidth(type) {
     if (type === 'forced') {
         let r = document.documentElement;

             document.documentElement.style.setProperty('--SmartThemeFastUIBGColor', power_user.fastui_bg_color);
         } */
     if (type === 'blurTint') {
+        let metaThemeColor = document.querySelector('meta[name=theme-color]');
         document.documentElement.style.setProperty('--SmartThemeBlurTintColor', power_user.blur_tint_color);
+        metaThemeColor.setAttribute('content', power_user.blur_tint_color);
+    }
     if (type === 'chatTint') {
         document.documentElement.style.setProperty('--SmartThemeChatTintColor', power_user.chat_tint_color);

             },
         },
+        {
+            key: 'toastr_position',
+            action: () => {
+                applyToastrPosition();
+            },
+        },
+        {
             key: 'avatar_style',
             action: () => {
                 applyAvatarStyle();

                 switchSwipeNumAllMessages();
             },
         },
+        {
+            key: 'click_to_edit',
+            action: () => {
+                $('#click_to_edit').prop('checked', power_user.click_to_edit);
+            },
+        },
     ];
     for (const { key, selector, type, action } of themeProperties) {

     return 'normal';
+}
+//MARK: loadPowerUser
 async function loadPowerUserSettings(settings, data) {
     const defaultStscript = JSON.parse(JSON.stringify(power_user.stscript));
     // Load from settings.json
     if (settings.power_user !== undefined) {
+        // Migrate old preference to a new setting
+        if (settings.power_user.click_to_edit === undefined && settings.power_user.chat_display === chat_styles.DOCUMENT) {
+            settings.power_user.click_to_edit = true;
+        }
         Object.assign(power_user, settings.power_user);
+    }

     $('#enableLabMode').prop('checked', power_user.enableLabMode).trigger('input', { fromInit: true });
     $(`input[name="avatar_style"][value="${power_user.avatar_style}"]`).prop('checked', true);
     $(`#chat_display option[value=${power_user.chat_display}]`).attr('selected', true).trigger('change');
+    $(`#toastr_position option[value=${power_user.toastr_position}]`).attr('selected', true).trigger('change');
     $('#chat_width_slider').val(power_user.chat_width);
     $('#token_padding').val(power_user.token_padding);
     $('#aux_field').val(power_user.aux_field);

     $('#auto-load-chat-checkbox').prop('checked', power_user.auto_load_chat);
     $('#forbid_external_media').prop('checked', power_user.forbid_external_media);
     $('#pin_styles').prop('checked', power_user.pin_styles);
+    $('#click_to_edit').prop('checked', power_user.click_to_edit);
     for (const theme of themes) {
         const option = document.createElement('option');

     loadMovingUIState();
     loadCharListState();
     toggleMDHotkeyIconDisplay();
+    applyToastrPosition();
+}
 function toggleMDHotkeyIconDisplay() {

         waifuMode: power_user.waifuMode,
         avatar_style: power_user.avatar_style,
         chat_display: power_user.chat_display,
+        toastr_position: power_user.toastr_position,
         noShadows: power_user.noShadows,
         chat_width: power_user.chat_width,
         timer_enabled: power_user.timer_enabled,

         reduced_motion: power_user.reduced_motion,
         compact_input_area: power_user.compact_input_area,
         show_swipe_num_all_messages: power_user.show_swipe_num_all_messages,
+        click_to_edit: power_user.click_to_edit,
     };
+}

         saveSettingsDebounced();
     });
+    $('#toastr_position').on('change', function () {
+        const value = $(this).find(':selected').val();
+        power_user.toastr_position = String(value);
+        applyToastrPosition();
+        saveSettingsDebounced();
+    });
     $('#chat_width_slider').on('input', function (e, data) {
         const applyMode = data?.forced ? 'forced' : 'normal';
         power_user.chat_width = Number(e.target.value);

         applyStylePins();
     });
+    $('#click_to_edit').on('input', function () {
+        power_user.click_to_edit = !!$(this).prop('checked');
+        saveSettingsDebounced();
+    });
     $('#ui_preset_import_button').on('click', function () {
         $('#ui_preset_import_file').trigger('click');
     });

public/scripts/preset-manager.js+5 -4 Viewed

     textgenerationwebui_presets,
     textgenerationwebui_settings as textgen_settings,
 } from './textgen-settings.js';
-import { download, equalsIgnoreCaseAndAccents, parseJsonFile, waitUntilCondition } from './utils.js';
+import { download, equalsIgnoreCaseAndAccents, getSanitizedFilename, parseJsonFile, waitUntilCondition } from './utils.js';
 import { t } from './i18n.js';
 import { reasoning_templates } from './reasoning.js';

             return;
+        }
-        $(this.select).find(`option[value="${value}"]`).remove();
         if (this.isKeyedApi()) {
+            $(this.select).find(`option[value="${value}"]`).remove();
             const index = preset_names.indexOf(nameToDelete);
             preset_names.splice(index, 1);
             presets.splice(index, 1);
         } else {
+            const index = preset_names[nameToDelete];
+            $(this.select).find(`option[value="${index}"]`).remove();
             delete preset_names[nameToDelete];
+        }

         const popupHeader = !presetManager.isAdvancedFormatting() ? t`Rename preset` : t`Rename template`;
         const oldName = presetManager.getSelectedPresetName();
-        const newName = await Popup.show.input(popupHeader, t`Enter a new name:`, oldName);
+        const newName = await getSanitizedFilename(await Popup.show.input(popupHeader, t`Enter a new name:`, oldName) || '');
         if (!newName || oldName === newName) {
             console.debug(!presetManager.isAdvancedFormatting() ? 'Preset rename cancelled' : 'Template rename cancelled');
             return;

public/scripts/reasoning.js+1 -0 Viewed

                 case chat_completion_sources.OPENROUTER:
                     return data?.choices?.[0]?.message?.reasoning ?? '';
                 case chat_completion_sources.MAKERSUITE:
+                case chat_completion_sources.VERTEXAI:
                     return data?.responseContent?.parts?.filter(part => part.thought)?.map(part => part.text)?.join('\n\n') ?? '';
                 case chat_completion_sources.CLAUDE:
                     return data?.content?.find(part => part.type === 'thinking')?.thinking ?? '';

public/scripts/samplerSelect.js+14 -0 Viewed

             targetDisplayType = 'block';
+        }
+        if (samplerName === 'xtc_probability') {
+            relatedDOMElement = $('#xtc_block');
+            targetDisplayType = 'block';
+        }
         if (samplerName === 'dynatemp') {
             relatedDOMElement = $('#dynatemp_block_ooba');
             targetDisplayType = 'block';

             targetDOMelement = $('#dryBlock');
             displayname = 'DRY Rep Pen Block';
+        }
+        if (sampler === 'xtc_probability') {
+            targetDOMelement = $('#xtc_block');
+            displayname = 'XTC Block';
+        }
         if (sampler === 'dynatemp') {
             targetDOMelement = $('#dynatemp_block_ooba');

@@ -374,6 +383,11 @@ export async function validateDisabledSamplers(redraw = false) {
374	targetDisplayType = 'block';	383	targetDisplayType = 'block';
375	}	384	}
376		385
		386	if (sampler === 'xtc_probability') {
		387	relatedDOMElement = $('#xtc_block');
		388	targetDisplayType = 'block';
		389	}
		390
377	if (sampler === 'penalty_alpha') { //contrastive search only has one sampler, does it need its own block?	391	if (sampler === 'penalty_alpha') { //contrastive search only has one sampler, does it need its own block?
378	relatedDOMElement = $('#contrastiveSearchBlock');	392	relatedDOMElement = $('#contrastiveSearchBlock');
379	}	393	}

public/scripts/secrets.js+2 -0 Viewed

     AI21: 'api_key_ai21',
     SCALE_COOKIE: 'scale_cookie',
     MAKERSUITE: 'api_key_makersuite',
+    VERTEXAI: 'api_key_vertexai',
     SERPAPI: 'api_key_serpapi',
     MISTRALAI: 'api_key_mistralai',
     TOGETHERAI: 'api_key_togetherai',

     [SECRET_KEYS.AI21]: '#api_key_ai21',
     [SECRET_KEYS.SCALE_COOKIE]: '#scale_cookie',
     [SECRET_KEYS.MAKERSUITE]: '#api_key_makersuite',
+    [SECRET_KEYS.VERTEXAI]: '#api_key_vertexai',
     [SECRET_KEYS.VLLM]: '#api_key_vllm',
     [SECRET_KEYS.APHRODITE]: '#api_key_aphrodite',
     [SECRET_KEYS.TABBY]: '#api_key_tabby',

public/scripts/showdown-exclusion.js+24 -25 Viewed

 import { power_user } from './power-user.js';
+import { substituteParams } from '../script.js';
-// Showdown extension to make chat separators (dinkuses) ignore markdown formatting
+/**
+ * Showdown extension to make chat separators (dinkuses) ignore markdown formatting
+ * @returns {import('showdown').ShowdownExtension[]} An array of Showdown extensions
+ */
 export const markdownExclusionExt = () => {
     if (!power_user) {
         console.log('Showdown-dinkus extension: power_user wasn\'t found! Returning.');
         return [];
+    }
-    let combinedExcludeString = '';
+    // The extension will only be applied if the user has non-empty "Non-markdown strings"
-    if (power_user.context.chat_start) {
+    // Changing the string in the UI reloads the processor, so we don't need to worry about it
-        combinedExcludeString += `${power_user.context.chat_start},`;
+    if (!power_user.markdown_escape_strings) {
-    }
-    if (power_user.context.example_separator) {
-        combinedExcludeString += `${power_user.context.example_separator},`;
-    }
-    if (power_user.markdown_escape_strings) {
-        combinedExcludeString += power_user.markdown_escape_strings;
-    }
-    const escapedExclusions = combinedExcludeString
-        .split(',')
-        .filter((element) => element.length > 0)
-        .map((element) => `(${element.split('').map((char) => `\\${char}`).join('')})`);
-    // No exclusions? No extension!
-    if (!combinedExcludeString || combinedExcludeString.length === 0 || escapedExclusions.length === 0) {
         return [];
+    }
-    const replaceRegex = new RegExp(`^(${escapedExclusions.join('|')})\n`, 'gm');
+    // Escape the strings to be excluded from markdown parsing
+    // Function is evaluated every time, so we don't care about stale macros in the strings
     return [{
         type: 'lang',
-        regex: replaceRegex,
+        filter: (text) => {
-        replace: ((match) => match.replace(replaceRegex, `\u0000${match} \n`)),
+            const escapedExclusions = substituteParams(power_user.markdown_escape_strings)
+                .split(',')
+                .filter((element) => element.length > 0)
+                .map((element) => `(${element.split('').map((char) => `\\${char}`).join('')})`);
+            // No exclusions? No extension!
+            if (escapedExclusions.length === 0) {
+                return text;
+            }
+            const replaceRegex = new RegExp(`^(${escapedExclusions.join('|')})\n`, 'gm');
+            return text.replace(replaceRegex, ((match) => match.replace(replaceRegex, `\u0000${match} \n`)));
+        },
     }];
 };

public/scripts/slash-commands.js+42 -0 Viewed

                 enumList: slashCommandReturnHelper.enumList({ allowObject: true }),
                 forceEnum: true,
             }),
+            SlashCommandNamedArgument.fromProps({
+                name: 'raw',
+                description: 'If true, does not alter quoted literal unnamed arguments',
+                typeList: [ARGUMENT_TYPE.BOOLEAN],
+                defaultValue: 'true',
+                enumProvider: commonEnumProviders.boolean('trueFalse'),
+                isRequired: false,
+            }),
         ],
         unnamedArgumentList: [
             new SlashCommandArgument(

                 enumList: slashCommandReturnHelper.enumList({ allowObject: true }),
                 forceEnum: true,
             }),
+            SlashCommandNamedArgument.fromProps({
+                name: 'raw',
+                description: 'If true, does not alter quoted literal unnamed arguments',
+                typeList: [ARGUMENT_TYPE.BOOLEAN],
+                defaultValue: 'true',
+                enumProvider: commonEnumProviders.boolean('trueFalse'),
+                isRequired: false,
+            }),
         ],
         unnamedArgumentList: [
             new SlashCommandArgument(

                 enumList: slashCommandReturnHelper.enumList({ allowObject: true }),
                 forceEnum: true,
             }),
+            SlashCommandNamedArgument.fromProps({
+                name: 'raw',
+                description: 'If true, does not alter quoted literal unnamed arguments',
+                typeList: [ARGUMENT_TYPE.BOOLEAN],
+                defaultValue: 'true',
+                enumProvider: commonEnumProviders.boolean('trueFalse'),
+                isRequired: false,
+            }),
         ],
         unnamedArgumentList: [
             new SlashCommandArgument(

                 enumList: slashCommandReturnHelper.enumList({ allowObject: true }),
                 forceEnum: true,
             }),
+            SlashCommandNamedArgument.fromProps({
+                name: 'raw',
+                description: 'If true, does not alter quoted literal unnamed arguments',
+                typeList: [ARGUMENT_TYPE.BOOLEAN],
+                defaultValue: 'true',
+                enumProvider: commonEnumProviders.boolean('trueFalse'),
+                isRequired: false,
+            }),
         ],
         unnamedArgumentList: [
             new SlashCommandArgument(

                 description: 'a closure to call when the toast is clicked. This executed closure receives scope as provided in the script. Careful about possible side effects when manipulating variables and more.',
                 typeList: [ARGUMENT_TYPE.CLOSURE],
             }),
+            SlashCommandNamedArgument.fromProps({
+                name: 'raw',
+                description: 'If true, does not alter quoted literal unnamed arguments',
+                typeList: [ARGUMENT_TYPE.BOOLEAN],
+                defaultValue: 'true',
+                enumProvider: commonEnumProviders.boolean('trueFalse'),
+                isRequired: false,
+            }),
         ],
         unnamedArgumentList: [
             new SlashCommandArgument(

         { id: 'model_openrouter_select', api: 'openai', type: chat_completion_sources.OPENROUTER },
         { id: 'model_ai21_select', api: 'openai', type: chat_completion_sources.AI21 },
         { id: 'model_google_select', api: 'openai', type: chat_completion_sources.MAKERSUITE },
+        { id: 'model_vertexai_select', api: 'openai', type: chat_completion_sources.VERTEXAI },
         { id: 'model_mistralai_select', api: 'openai', type: chat_completion_sources.MISTRALAI },
         { id: 'custom_model_id', api: 'openai', type: chat_completion_sources.CUSTOM },
         { id: 'model_cohere_select', api: 'openai', type: chat_completion_sources.COHERE },

         { id: 'model_01ai_select', api: 'openai', type: chat_completion_sources.ZEROONEAI },
         { id: 'model_deepseek_select', api: 'openai', type: chat_completion_sources.DEEPSEEK },
         { id: 'model_xai_select', api: 'openai', type: chat_completion_sources.XAI },
+        { id: 'model_pollinations_select', api: 'openai', type: chat_completion_sources.POLLINATIONS },
         { id: 'model_novel_select', api: 'novel', type: null },
         { id: 'horde_model', api: 'koboldhorde', type: null },
     ];

public/scripts/slash-commands/SlashCommand.js+1 -1 Viewed

@@ -266,7 +266,7 @@ export class SlashCommand {
266	rawQuotes.classList.add('rawQuotes');	266	rawQuotes.classList.add('rawQuotes');
267	rawQuotes.classList.add('fa-solid');	267	rawQuotes.classList.add('fa-solid');
268	rawQuotes.classList.add('fa-quote-left');	268	rawQuotes.classList.add('fa-quote-left');
269	rawQuotes.title = t`Does not alter quoted literal unnamed arguments`;	269	rawQuotes.title = t`Does not alter quoted literal unnamed arguments. Pass raw=false argument to override.`;
270	head.append(rawQuotes);	270	head.append(rawQuotes);
271	}	271	}
272	}	272	}

public/scripts/slash-commands/SlashCommandParser.js+4 -2 Viewed

 import { hljs } from '../../lib.js';
 import { power_user } from '../power-user.js';
-import { isTrueBoolean, uuidv4 } from '../utils.js';
+import { isFalseBoolean, isTrueBoolean, uuidv4 } from '../utils.js';
 import { SlashCommand } from './SlashCommand.js';
 import { ARGUMENT_TYPE, SlashCommandArgument } from './SlashCommandArgument.js';
 import { SlashCommandClosure } from './SlashCommandClosure.js';

         cmd.startUnnamedArgs = this.index - (/\s(\s*)$/s.exec(this.behind)?.[1]?.length ?? 0);
         cmd.endUnnamedArgs = this.index;
         if (this.testUnnamedArgument()) {
-            cmd.unnamedArgumentList = this.parseUnnamedArgument(cmd.command?.unnamedArgumentList?.length && cmd?.command?.splitUnnamedArgument, cmd?.command?.splitUnnamedArgumentCount, cmd?.command?.rawQuotes);
+            const rawQuotesArg = cmd?.namedArgumentList?.find(a => a.name === 'raw');
+            const rawQuotes = cmd?.command?.rawQuotes && rawQuotesArg ? !isFalseBoolean(rawQuotesArg?.value?.toString()) : cmd?.command?.rawQuotes;
+            cmd.unnamedArgumentList = this.parseUnnamedArgument(cmd.command?.unnamedArgumentList?.length && cmd?.command?.splitUnnamedArgument, cmd?.command?.splitUnnamedArgumentCount, rawQuotes);
             cmd.endUnnamedArgs = this.index;
             if (cmd.name == 'let') {
                 const keyArg = cmd.namedArgumentList.find(it=>it.name == 'key');

public/scripts/tags.js+23 -1 Viewed

  * @property {string} [color] - The background color of the tag
  * @property {string} [color2] - The foreground color of the tag
  * @property {number} [create_date] - A number representing the date when this tag was created
+ * @property {boolean} is_hidden_on_character_card - Whether this tag is hidden on the character card
+ *
  * @property {function} [action] - An optional function that gets executed when this tag is an actionable tag and is clicked on.
  * @property {string} [class] - An optional css class added to the control representing this tag when printed. Used for custom tags in the filters.

         folder_type: TAG_FOLDER_DEFAULT_TYPE,
         filter_state: DEFAULT_FILTER_STATE,
         sort_order: Math.max(0, ...tags.map(t => t.sort_order)) + 1,
+        is_hidden_on_character_card: false,
         color: '',
         color2: '',
         create_date: Date.now(),

  * @property {(tag: Tag)=>boolean} [removeAction=undefined] - Action to perform on tag removal instead of the default remove action. If the action returns false, the tag will not be removed.
  * @property {boolean} [isGeneralList=false] - If true, indicates that this is the general list of tags.
  * @property {boolean} [skipExistsCheck=false] - If true, the tag gets added even if a tag with the same id already exists.
+ * @property {boolean} [isCharacterList=false] - If true, indicates that this is the character's list of tags.
  */
 /**

     const key = forEntityOrKey !== undefined ? getTagKeyForEntity(forEntityOrKey) : getTagKey();
     let printableTags = tags ? (typeof tags === 'function' ? tags() : tags) : getTagsList(key, sort);
+    if (tagOptions.isCharacterList) {
+        printableTags = printableTags.filter(tag => !tag.is_hidden_on_character_card);
+    }
     if (empty === 'always' || (empty && (printableTags?.length > 0 || key))) {
         $element.empty();
+    }

     printViewTagList(tagContainer);
     makeTagListDraggable(tagContainer);
-    await callGenericPopup(html, POPUP_TYPE.TEXT, null, { allowVerticalScrolling: true });
+    await callGenericPopup(html, POPUP_TYPE.TEXT, null, { allowVerticalScrolling: true, wide: true, large: true });
+}
 /**

         colorPicker[0].color = defaultColor;
     });
+    const getHideTooltip = () => tag.is_hidden_on_character_card ? t`Hide on character card` : t`Show on character card`;
+    const hideToggle = template.find('.eye-toggle');
+    hideToggle.toggleClass('fa-eye-slash', tag.is_hidden_on_character_card);
+    hideToggle.toggleClass('fa-eye', !tag.is_hidden_on_character_card);
+    hideToggle.attr('title', getHideTooltip());
+    hideToggle.on('click', () => {
+        tag.is_hidden_on_character_card = !tag.is_hidden_on_character_card;
+        hideToggle.toggleClass('fa-eye-slash', tag.is_hidden_on_character_card);
+        hideToggle.toggleClass('fa-eye', !tag.is_hidden_on_character_card);
+        hideToggle.attr('title', getHideTooltip());
+        printCharactersDebounced();
+        saveSettingsDebounced();
+    });
     list.append(template);
     // We prevent the popup from auto-close on Escape press on the color pickups. If the user really wants to, he can hit it again

public/scripts/templates/assistantNote.html+8 -4 Viewed

 <div data-type="assistant_note">
-    <div>
+    <div class="assistant_note_title">
         <b data-i18n="Note:">Note:</b> <span data-i18n="this chat is temporary and will be deleted as soon as you leave it.">this chat is temporary and will be deleted as soon as you leave it.</span>
-        <span data-i18n="Click the button to save it as a file.">Click the button to save it as a file.</span>
     </div>
-    <div class="assistant_note_export menu_button menu_button_icon" data-i18n="[title]Export as JSONL" title="Export as JSONL">
+    <button class="assistant_note_import menu_button menu_button_icon margin0" data-i18n="[title]Import from JSONL" title="Import from JSONL">
+        <i class="fa-solid fa-file-import"></i>
+        <span data-i18n="Load">Load</span>
+    </button>
+    <button class="assistant_note_export menu_button menu_button_icon margin0" data-i18n="[title]Export as JSONL" title="Export as JSONL">
         <i class="fa-solid fa-file-export"></i>
-    </div>
+        <span data-i18n="Save">Save</span>
+    </button>
 </div>

public/scripts/templates/exportPreset.html+27 -0 Viewed

+<div class="flex-container flexFlowColumn marginBot10">
+    <h3 data-i18n="Do you want to export connection data with the preset?">
+        Do you want to export connection data with the preset?
+    </h3>
+    <div data-i18n="This includes the selected source, models, and other preferences set in the API Connections panel.">
+        This includes the selected source, models, and other preferences set in the API Connections panel.
+    </div>
+    <strong data-i18n="Your stored API keys are never exported.">
+        Your stored API keys are never exported.
+    </strong>
+</div>
+<div class="flex-container flexFlowColumn">
+    <label class="checkbox_label" for="export_connection_data_yes">
+        <input type="radio" id="export_connection_data_yes" name="export_connection_data" value="true">
+        <span data-i18n="Export connection data">
+            Export connection data
+        </span>
+    </label>
+    <label class="checkbox_label" for="export_connection_data_no">
+        <input type="radio" id="export_connection_data_no" name="export_connection_data" value="false" checked>
+        <span data-i18n="Do not export connection data">
+            Do not export connection data
+        </span>
+    </label>
+</div>

public/scripts/templates/globalStylesPopup.html+27 -0 Viewed

+<div class="flex-container flexFlowColumn">
+    <h3 data-i18n="Creator's Notes contain CSS style tags. Do you want to apply them just to Creator's Notes or to the entire application?" class="margin0">
+        Creator's Notes contain CSS style tags. Do you want to apply them just to Creator's Notes or to the entire application?
+    </h3>
+    <h4 data-i18n="CAUTION: Malformed styles may cause issues." class="neutral_warning">
+        CAUTION: Malformed styles may cause issues.
+    </h4>
+    <hr>
+    <small>
+        <span data-i18n="To change the preference later, use the">
+            To change the preference later, use the
+        </span>
+        <code class="fa-solid fa-palette"></code>
+        <span data-i18n="button in the Creator's Notes block.">
+            button in the Creator's Notes block.
+        </span>
+    </small>
+    <textarea class="text_pole textarea_compact monospace" rows="8" readonly></textarea>
+    <small class="justifyLeft">
+        <b data-i18n="Note:">
+            Note:
+        </b>
+        <span data-i18n="Class names will be automatically prefixed with 'custom-'.">
+            Class names will be automatically prefixed with 'custom-'.
+        </span>
+    </small>
+</div>

public/scripts/templates/globalStylesPreference.html+16 -0 Viewed

+<div class="flex-container flexFlowColumn">
+    <h3 data-i18n="Choose how to apply CSS style tags if they are defined in Creator's Notes of this character:" class="margin0">
+        Choose how to apply CSS style tags if they are defined in Creator's Notes of this character:
+    </h3>
+    <h4 data-i18n="CAUTION: Malformed styles may cause issues." class="neutral_warning">
+        CAUTION: Malformed styles may cause issues.
+    </h4>
+    <label class="checkbox_label" for="global_styles_forbidden">
+        <input type="radio" id="global_styles_forbidden" name="global_styles_preference" />
+        <span data-i18n="Just to Creator's Notes">Just to Creator's Notes</span>
+    </label>
+    <label class="checkbox_label" for="global_styles_allowed">
+        <input type="radio" id="global_styles_allowed" name="global_styles_preference" />
+        <span data-i18n="Apply to the entire app">Apply to the entire app</span>
+    </label>
+</div>

public/scripts/templates/welcomePanel.html+82 -0 Viewed

+<div class="welcomePanel">
+    <div class="welcomeHeaderTitle">
+        <img src="img/logo.png" alt="SillyTavern Logo" class="welcomeHeaderLogo">
+        <span class="welcomeHeaderVersionDisplay">{{version}}</span>
+        <div class="mes_button showRecentChats" title="Show recent chats" data-i18n="[title]Show recent chats">
+            <i class="fa-solid fa-circle-chevron-down fa-fw fa-lg"></i>
+        </div>
+        <div class="mes_button hideRecentChats" title="Hide recent chats" data-i18n="[title]Hide recent chats">
+            <i class="fa-solid fa-circle-xmark fa-fw fa-lg"></i>
+        </div>
+    </div>
+    <div class="welcomeHeader">
+        <div class="recentChatsTitle" data-i18n="Recent Chats">
+            Recent Chats
+        </div>
+        <div class="welcomeShortcuts">
+            <a class="menu_button menu_button_icon" target="_blank" href="https://docs.sillytavern.app/">
+                <i class="fa-solid fa-question-circle"></i>
+                <span data-i18n="Docs">Docs</span>
+            </a>
+            <a class="menu_button menu_button_icon" target="_blank" href="https://github.com/SillyTavern/SillyTavern">
+                <i class="fa-brands fa-github"></i>
+                <span data-i18n="GitHub">GitHub</span>
+            </a>
+            <a class="menu_button menu_button_icon" target="_blank" href="https://discord.gg/sillytavern">
+                <i class="fa-brands fa-discord"></i>
+                <span data-i18n="Discord">Discord</span>
+            </a>
+            <span class="welcomeShortcutsSeparator">&vert;</span>
+            <button class="openTemporaryChat menu_button menu_button_icon">
+                <i class="fa-solid fa-comment-dots"></i>
+                <span data-i18n="Temporary Chat">Temporary Chat</span>
+            </button>
+        </div>
+    </div>
+    <div class="welcomeRecent">
+        <div class="recentChatList">
+        {{#if empty}}
+            <div class="noRecentChat">
+                <i class="fa-solid fa-comment-dots"></i>
+                <span data-i18n="No recent chats">No recent chats</span>
+            </div>
+        {{/if}}
+        {{#each chats}}
+            {{#with this}}
+            <div class="recentChat {{#if hidden}}hidden{{/if}} {{#if is_group}}group{{/if}}" data-file="{{chat_name}}" data-avatar="{{avatar}}" data-group="{{group}}">
+                <div class="avatar" title="[Character] {{char_name}}&#10;File: {{avatar}}">
+                    <img src="{{char_thumbnail}}" alt="{{char_name}}">
+                </div>
+                <div class="recentChatInfo">
+                    <div class="chatNameContainer">
+                        <div class="chatName" title="{{file_name}}">
+                            <strong class="characterName">{{char_name}}</strong>
+                            <span>&ndash;</span>
+                            <span>{{chat_name}}</span>
+                        </div>
+                        <small class="chatDate" title="{{date_long}}">{{date_short}}</small>
+                    </div>
+                    <div class="chatMessageContainer">
+                        <div class="chatMessage" title="{{mes}}">
+                            {{mes}}
+                        </div>
+                        <div class="chatStats">
+                            <div class="counterBlock">
+                                <i class="fa-solid fa-comment fa-xs"></i>
+                                <small>{{chat_items}}</small>
+                            </div>
+                            <small class="fileSize">{{file_size}}</small>
+                        </div>
+                    </div>
+                </div>
+            </div>
+            {{/with}}
+        {{/each}}
+        {{#if more}}
+            <button class="menu_button menu_button_icon showMoreChats">
+                <small class="fa-solid fa-chevron-down fa-fw fa-1x"></small>
+            </button>
+        {{/if}}
+        </div>
+    </div>
+</div>

public/scripts/templates/welcomePrompt.html+14 -3 Viewed

-<strong data-i18n="If you're connected to an API, try asking me something!">
+<div class="flex-container">
-    If you're connected to an API, try asking me something!
+    <button class="menu_button menu_button_icon drawer-opener inline-flex" data-target="sys-settings-button">
-</strong>
+        <i class="fa-solid fa-plug"></i>
+        <span data-i18n="API Connections">API Connections</span>
+    </button>
+    <button class="menu_button menu_button_icon drawer-opener inline-flex" data-target="rightNavHolder">
+        <i class="fa-solid fa-address-card"></i>
+        <span data-i18n="Character Management">Character Management</span>
+    </button>
+    <button class="menu_button menu_button_icon drawer-opener inline-flex" data-target="extensions-settings-button">
+        <i class="fa-solid fa-cubes"></i>
+        <span data-i18n="Extensions">Extensions</span>
+    </button>
+</div>

public/scripts/textgen-models.js+42 -42 Viewed

  * @type {string[]}
  */
 const OPENROUTER_PROVIDERS = [
-    'OpenAI',
+    'AI21',
-    'Anthropic',
+    'AionLabs',
-    'Google',
+    'Alibaba',
-    'Google AI Studio',
     'Amazon Bedrock',
-    'Groq',
+    'Anthropic',
-    'SambaNova',
+    'Atoma',
-    'Cohere',
-    'Mistral',
-    'Together',
-    'Together 2',
-    'Fireworks',
-    'DeepInfra',
-    'Lepton',
-    'Novita',
     'Avian',
-    'Lambda',
     'Azure',
-    'Perplexity',
+    'Cent-ML',
+    'Cerebras',
+    'Chutes',
+    'Cloudflare',
+    'Cohere',
+    'Crusoe',
+    'DeepInfra',
     'DeepSeek',
-    'Infermatic',
+    'Enfer',
-    'AI21',
     'Featherless',
+    'Fireworks',
+    'Friendli',
+    'GMICloud',
+    'Google',
+    'Google AI Studio',
+    'Groq',
+    'Hyperbolic',
+    'Inception',
+    'InferenceNet',
+    'Infermatic',
     'Inflection',
-    'xAI',
+    'InoCloud',
-    'Cloudflare',
+    'Kluster',
-    'Minimax',
+    'Lambda',
-    'Nineteen',
     'Liquid',
-    'GMICloud',
+    'Mancer',
-    'Stealth',
+    'Mancer 2',
+    'Minimax',
+    'Mistral',
     'NCompass',
-    'InferenceNet',
-    'Friendli',
-    'AionLabs',
-    'Alibaba',
     'Nebius',
-    'Chutes',
+    'NextBit',
-    'Kluster',
+    'Nineteen',
-    'Crusoe',
+    'Novita',
-    'Targon',
+    'OpenAI',
-    'Ubicloud',
+    'OpenInference',
     'Parasail',
+    'Perplexity',
     'Phala',
-    'Cent-ML',
+    'SambaNova',
+    'Stealth',
+    'Targon',
+    'Together',
+    'Ubicloud',
     'Venice',
-    'OpenInference',
+    'xAI',
-    'Atoma',
-    'Enfer',
-    'Mancer',
-    'Mancer 2',
-    'Hyperbolic',
-    'Hyperbolic 2',
-    'Reflection',
 ];
 export async function loadOllamaModels(data) {

public/scripts/textgen-settings.js+20 -14 Viewed

 } = textgen_types;
 const LLAMACPP_DEFAULT_ORDER = [
+    'penalties',
     'dry',
+    'top_n_sigma',
     'top_k',
-    'tfs_z',
+    'typ_p',
-    'typical_p',
     'top_p',
     'min_p',
     'xtc',

     xtc_threshold: 0.1,
     xtc_probability: 0,
     nsigma: 0.0,
+    min_keep: 0,
     featherless_model: '',
     generic_model: '',
 };

     'xtc_threshold',
     'xtc_probability',
     'nsigma',
+    'min_keep',
     'generic_model',
 ];

             'xtc_threshold_textgenerationwebui': 0.1,
             'xtc_probability_textgenerationwebui': 0,
             'nsigma_textgenerationwebui': 0,
+            'min_keep_textgenerationwebui': 0,
         };
         for (const [id, value] of Object.entries(inputs)) {

         'xtc_threshold': settings.xtc_threshold,
         'xtc_probability': settings.xtc_probability,
         'nsigma': settings.nsigma,
+        'top_n_sigma': settings.nsigma,
+        'min_keep': settings.min_keep,
+        parseSequenceBreakers: function () {
+            try {
+                return JSON.parse(this.dry_sequence_breakers);
+            } catch {
+                if (typeof this.dry_sequence_breakers === 'string') {
+                    return this.dry_sequence_breakers.split(',');
+                }
+                return undefined;
+            }
+        },
     };
     const nonAphroditeParams = {
         'rep_pen': settings.rep_pen,

         'json_schema': [TABBY, LLAMACPP].includes(settings.type) ? settings.json_schema : undefined,
         // llama.cpp aliases. In case someone wants to use LM Studio as Text Completion API
         'repeat_penalty': settings.rep_pen,
-        'tfs_z': settings.tfs,
         'repeat_last_n': settings.rep_pen_range,
         'n_predict': maxTokens,
         'num_predict': maxTokens,

         params.dynatemp_max = params.dynatemp_high;
         delete params.dynatemp_low;
         delete params.dynatemp_high;
+        params.dry_sequence_breakers = params.parseSequenceBreakers();
+    }
     if (settings.type === TABBY) {

             : [];
         const tokenBans = toIntArray(banned_tokens);
         logitBiasArray.push(...tokenBans.map(x => [Number(x), false]));
-        const sequenceBreakers = (() => {
+        const sequenceBreakers = params.parseSequenceBreakers();
-            try {
-                return JSON.parse(params.dry_sequence_breakers);
-            } catch {
-                if (typeof params.dry_sequence_breakers === 'string') {
-                    return params.dry_sequence_breakers.split(',');
-                }
-                return undefined;
-            }
-        })();
         const llamaCppParams = {
             'logit_bias': logitBiasArray,
             // Conflicts with ooba's grammar_string

public/scripts/tokenizers.js+4 -0 Viewed

@@ -676,6 +676,10 @@ export function getTokenizerModel() {
676	return gemmaTokenizer;	676	return gemmaTokenizer;
677	}	677	}
678		678
		679	if (oai_settings.chat_completion_source == chat_completion_sources.VERTEXAI) {
		680	return gemmaTokenizer;
		681	}
		682
679	if (oai_settings.chat_completion_source == chat_completion_sources.AI21) {	683	if (oai_settings.chat_completion_source == chat_completion_sources.AI21) {
680	return jambaTokenizer;	684	return jambaTokenizer;
681	}	685	}

public/scripts/tool-calling.js+15 -1 Viewed

 import { DOMPurify } from '../lib.js';
 import { addOneMessage, chat, event_types, eventSource, main_api, saveChatConditional, system_avatar, systemUserName } from '../script.js';
-import { chat_completion_sources, oai_settings } from './openai.js';
+import { chat_completion_sources, model_list, oai_settings } from './openai.js';
 import { Popup } from './popup.js';
 import { SlashCommand } from './slash-commands/SlashCommand.js';
 import { ARGUMENT_TYPE, SlashCommandArgument, SlashCommandNamedArgument } from './slash-commands/SlashCommandArgument.js';

             return false;
+        }
+        // Post-processing will forcefully remove past tool calls from the prompt, making them useless
+        if (oai_settings.custom_prompt_post_processing) {
+            return false;
+        }
+        if (oai_settings.chat_completion_source === chat_completion_sources.POLLINATIONS && Array.isArray(model_list)) {
+            const currentModel = model_list.find(model => model.id === oai_settings.pollinations_model);
+            if (currentModel) {
+                return currentModel.tools;
+            }
+        }
         const supportedSources = [
             chat_completion_sources.OPENAI,
             chat_completion_sources.CUSTOM,

             chat_completion_sources.COHERE,
             chat_completion_sources.DEEPSEEK,
             chat_completion_sources.MAKERSUITE,
+            chat_completion_sources.VERTEXAI,
             chat_completion_sources.AI21,
             chat_completion_sources.XAI,
+            chat_completion_sources.POLLINATIONS,
         ];
         return supportedSources.includes(oai_settings.chat_completion_source);
+    }

public/scripts/user.js+1 -1 Viewed

 async function extendUserSession() {
     try {
         const response = await fetch('/api/ping?extend=1', {
-            method: 'GET',
+            method: 'POST',
             headers: getRequestHeaders(),
         });

public/scripts/utils.js+6 -0 Viewed

         return new Date(unixTime).toISOString();
+    }
+    // ISO 8601
+    if (moment(timestamp, moment.ISO_8601, true).isValid()) {
+        return timestamp;
+    }
     let dtFmt = [];
     // meridiem-based format

@@ -1008,6 +1013,7 @@ function parseTimestamp(timestamp) {
1008	if (!rgxMatch) continue;	1013	if (!rgxMatch) continue;
1009	return x.callback(...rgxMatch);	1014	return x.callback(...rgxMatch);
1010	}	1015	}
		1016
1011	return;	1017	return;
1012	}	1018	}
1013		1019

public/scripts/welcome-screen.js+458 -0 Viewed

+import {
+    addOneMessage,
+    characters,
+    chat,
+    displayVersion,
+    doNewChat,
+    event_types,
+    eventSource,
+    getCharacters,
+    getCurrentChatId,
+    getRequestHeaders,
+    getSystemMessageByType,
+    getThumbnailUrl,
+    is_send_press,
+    neutralCharacterName,
+    newAssistantChat,
+    openCharacterChat,
+    printCharactersDebounced,
+    selectCharacterById,
+    system_avatar,
+    system_message_types,
+    this_chid,
+    unshallowCharacter,
+} from '../script.js';
+import { getRegexedString, regex_placement } from './extensions/regex/engine.js';
+import { getGroupAvatar, groups, is_group_generating, openGroupById, openGroupChat } from './group-chats.js';
+import { t } from './i18n.js';
+import { getMessageTimeStamp } from './RossAscends-mods.js';
+import { renderTemplateAsync } from './templates.js';
+import { accountStorage } from './util/AccountStorage.js';
+import { sortMoments, timestampToMoment } from './utils.js';
+const assistantAvatarKey = 'assistant';
+const defaultAssistantAvatar = 'default_Assistant.png';
+const DEFAULT_DISPLAYED = 3;
+const MAX_DISPLAYED = 15;
+export function getPermanentAssistantAvatar() {
+    const assistantAvatar = accountStorage.getItem(assistantAvatarKey);
+    if (assistantAvatar === null) {
+        return defaultAssistantAvatar;
+    }
+    const character = characters.find(x => x.avatar === assistantAvatar);
+    if (character === undefined) {
+        accountStorage.removeItem(assistantAvatarKey);
+        return defaultAssistantAvatar;
+    }
+    return assistantAvatar;
+}
+export async function openWelcomeScreen() {
+    const currentChatId = getCurrentChatId();
+    if (currentChatId !== undefined || chat.length > 0) {
+        return;
+    }
+    const recentChats = await getRecentChats();
+    const chatAfterFetch = getCurrentChatId();
+    if (chatAfterFetch !== currentChatId) {
+        console.debug('Chat changed while fetching recent chats.');
+        return;
+    }
+    await sendWelcomePanel(recentChats);
+    await unshallowPermanentAssistant();
+    sendAssistantMessage();
+    sendWelcomePrompt();
+}
+/**
+ * Makes sure the assistant character has all data loaded.
+ * @returns {Promise<void>}
+ */
+async function unshallowPermanentAssistant() {
+    const assistantAvatar = getPermanentAssistantAvatar();
+    const characterId = characters.findIndex(x => x.avatar === assistantAvatar);
+    if (characterId === -1) {
+        return;
+    }
+    await unshallowCharacter(String(characterId));
+}
+/**
+ * Returns a greeting message for the assistant based on the character.
+ * @param {import('./char-data.js').v1CharData} character Character data
+ * @returns {string} Greeting message
+*/
+function getAssistantGreeting(character) {
+    const defaultGreeting = t`If you're connected to an API, try asking me something!`;
+    if (!character) {
+        return defaultGreeting;
+    }
+    return getRegexedString(character.first_mes || '', regex_placement.AI_OUTPUT) || defaultGreeting;
+}
+function sendAssistantMessage() {
+    const currentAssistantAvatar = getPermanentAssistantAvatar();
+    const character = characters.find(x => x.avatar === currentAssistantAvatar);
+    const name = character ? character.name : neutralCharacterName;
+    const avatar = character ? getThumbnailUrl('avatar', character.avatar) : system_avatar;
+    const greeting = getAssistantGreeting(character);
+    const message = {
+        name: name,
+        force_avatar: avatar,
+        mes: greeting + '\n***\n' + t`**Hint:** Set any character as your welcome page assistant from their "More..." menu.`,
+        is_system: false,
+        is_user: false,
+        send_date: getMessageTimeStamp(),
+        extra: {
+            type: system_message_types.ASSISTANT_MESSAGE,
+        },
+    };
+    chat.push(message);
+    addOneMessage(message, { scroll: false });
+}
+function sendWelcomePrompt() {
+    const message = getSystemMessageByType(system_message_types.WELCOME_PROMPT);
+    chat.push(message);
+    addOneMessage(message, { scroll: false });
+}
+/**
+ * Sends the welcome panel to the chat.
+ * @param {RecentChat[]} chats List of recent chats
+ */
+async function sendWelcomePanel(chats) {
+    try {
+        const chatElement = document.getElementById('chat');
+        const sendTextArea = document.getElementById('send_textarea');
+        if (!chatElement) {
+            console.error('Chat element not found');
+            return;
+        }
+        const templateData = {
+            chats,
+            empty: !chats.length,
+            version: displayVersion,
+            more: chats.some(chat => chat.hidden),
+        };
+        const template = await renderTemplateAsync('welcomePanel', templateData);
+        const fragment = document.createRange().createContextualFragment(template);
+        fragment.querySelectorAll('.welcomePanel').forEach((root) => {
+            const recentHiddenClass = 'recentHidden';
+            const recentHiddenKey = 'WelcomePage_RecentChatsHidden';
+            if (accountStorage.getItem(recentHiddenKey) === 'true') {
+                root.classList.add(recentHiddenClass);
+            }
+            root.querySelectorAll('.showRecentChats').forEach((button) => {
+                button.addEventListener('click', () => {
+                    root.classList.remove(recentHiddenClass);
+                    accountStorage.setItem(recentHiddenKey, 'false');
+                });
+            });
+            root.querySelectorAll('.hideRecentChats').forEach((button) => {
+                button.addEventListener('click', () => {
+                    root.classList.add(recentHiddenClass);
+                    accountStorage.setItem(recentHiddenKey, 'true');
+                });
+            });
+        });
+        fragment.querySelectorAll('.recentChat').forEach((item) => {
+            item.addEventListener('click', () => {
+                const avatarId = item.getAttribute('data-avatar');
+                const groupId = item.getAttribute('data-group');
+                const fileName = item.getAttribute('data-file');
+                if (avatarId && fileName) {
+                    void openRecentCharacterChat(avatarId, fileName);
+                }
+                if (groupId && fileName) {
+                    void openRecentGroupChat(groupId, fileName);
+                }
+            });
+        });
+        const hiddenChats = fragment.querySelectorAll('.recentChat.hidden');
+        fragment.querySelectorAll('button.showMoreChats').forEach((button) => {
+            const showRecentChatsTitle = t`Show more recent chats`;
+            const hideRecentChatsTitle = t`Show less recent chats`;
+            button.setAttribute('title', showRecentChatsTitle);
+            button.addEventListener('click', () => {
+                const rotate = button.classList.contains('rotated');
+                hiddenChats.forEach((chatItem) => {
+                    chatItem.classList.toggle('hidden', rotate);
+                });
+                button.classList.toggle('rotated', !rotate);
+                button.setAttribute('title', rotate ? showRecentChatsTitle : hideRecentChatsTitle);
+            });
+        });
+        fragment.querySelectorAll('button.openTemporaryChat').forEach((button) => {
+            button.addEventListener('click', async () => {
+                await newAssistantChat({ temporary: true });
+                if (sendTextArea instanceof HTMLTextAreaElement) {
+                    sendTextArea.focus();
+                }
+            });
+        });
+        fragment.querySelectorAll('.recentChat.group').forEach((groupChat) => {
+            const groupId = groupChat.getAttribute('data-group');
+            const group = groups.find(x => x.id === groupId);
+            if (group) {
+                const avatar = groupChat.querySelector('.avatar');
+                if (!avatar) {
+                    return;
+                }
+                const groupAvatar = getGroupAvatar(group);
+                $(avatar).replaceWith(groupAvatar);
+            }
+        });
+        chatElement.append(fragment.firstChild);
+    } catch (error) {
+        console.error('Welcome screen error:', error);
+    }
+}
+/**
+ * Opens a recent character chat.
+ * @param {string} avatarId Avatar file name
+ * @param {string} fileName Chat file name
+ */
+async function openRecentCharacterChat(avatarId, fileName) {
+    const characterId = characters.findIndex(x => x.avatar === avatarId);
+    if (characterId === -1) {
+        console.error(`Character not found for avatar ID: ${avatarId}`);
+        return;
+    }
+    try {
+        await selectCharacterById(characterId);
+        const currentChatId = getCurrentChatId();
+        if (currentChatId === fileName) {
+            console.debug(`Chat ${fileName} is already open.`);
+            return;
+        }
+        await openCharacterChat(fileName);
+    } catch (error) {
+        console.error('Error opening recent chat:', error);
+        toastr.error(t`Failed to open recent chat. See console for details.`);
+    }
+}
+/**
+ * Opens a recent group chat.
+ * @param {string} groupId Group ID
+ * @param {string} fileName Chat file name
+ */
+async function openRecentGroupChat(groupId, fileName) {
+    const group = groups.find(x => x.id === groupId);
+    if (!group) {
+        console.error(`Group not found for ID: ${groupId}`);
+        return;
+    }
+    try {
+        await openGroupById(groupId);
+        const currentChatId = getCurrentChatId();
+        if (currentChatId === fileName) {
+            console.debug(`Chat ${fileName} is already open.`);
+            return;
+        }
+        await openGroupChat(groupId, fileName);
+    } catch (error) {
+        console.error('Error opening recent group chat:', error);
+        toastr.error(t`Failed to open recent group chat. See console for details.`);
+    }
+}
+/**
+ * Gets the list of recent chats from the server.
+ * @returns {Promise<RecentChat[]>} List of recent chats
+ *
+ * @typedef {object} RecentChat
+ * @property {string} file_name Name of the chat file
+ * @property {string} chat_name Name of the chat (without extension)
+ * @property {string} file_size Size of the chat file
+ * @property {number} chat_items Number of items in the chat
+ * @property {string} mes Last message content
+ * @property {string} last_mes Timestamp of the last message
+ * @property {string} avatar Avatar URL
+ * @property {string} char_thumbnail Thumbnail URL
+ * @property {string} char_name Character or group name
+ * @property {string} date_short Date in short format
+ * @property {string} date_long Date in long format
+ * @property {string} group Group ID (if applicable)
+ * @property {boolean} is_group Indicates if the chat is a group chat
+ * @property {boolean} hidden Chat will be hidden by default
+ */
+async function getRecentChats() {
+    const response = await fetch('/api/chats/recent', {
+        method: 'POST',
+        headers: getRequestHeaders(),
+        body: JSON.stringify({ max: MAX_DISPLAYED }),
+    });
+    if (!response.ok) {
+        console.warn('Failed to fetch recent character chats');
+        return [];
+    }
+    /** @type {RecentChat[]} */
+    const data = await response.json();
+    data.sort((a, b) => sortMoments(timestampToMoment(a.last_mes), timestampToMoment(b.last_mes)))
+        .map(chat => ({ chat, character: characters.find(x => x.avatar === chat.avatar), group: groups.find(x => x.id === chat.group) }))
+        .filter(t => t.character || t.group)
+        .forEach(({ chat, character, group }, index) => {
+            const chatTimestamp = timestampToMoment(chat.last_mes);
+            chat.char_name = character?.name || group?.name || '';
+            chat.date_short = chatTimestamp.format('l');
+            chat.date_long = chatTimestamp.format('LL LT');
+            chat.chat_name = chat.file_name.replace('.jsonl', '');
+            chat.char_thumbnail = character ? getThumbnailUrl('avatar', character.avatar) : system_avatar;
+            chat.is_group = !!group;
+            chat.hidden = index >= DEFAULT_DISPLAYED;
+            chat.avatar = chat.avatar || '';
+            chat.group = chat.group || '';
+        });
+    return data;
+}
+export async function openPermanentAssistantChat({ tryCreate = true, created = false } = {}) {
+    const avatar = getPermanentAssistantAvatar();
+    const characterId = characters.findIndex(x => x.avatar === avatar);
+    if (characterId === -1) {
+        if (!tryCreate) {
+            console.error(`Character not found for avatar ID: ${avatar}. Cannot create.`);
+            return;
+        }
+        try {
+            console.log(`Character not found for avatar ID: ${avatar}. Creating new assistant.`);
+            await createPermanentAssistant();
+            return openPermanentAssistantChat({ tryCreate: false, created: true });
+        }
+        catch (error) {
+            console.error('Error creating permanent assistant:', error);
+            toastr.error(t`Failed to create ${neutralCharacterName}. See console for details.`);
+            return;
+        }
+    }
+    try {
+        await selectCharacterById(characterId);
+        if (!created) {
+            await doNewChat({ deleteCurrentChat: false });
+        }
+        console.log(`Opened permanent assistant chat for ${neutralCharacterName}.`, getCurrentChatId());
+    } catch (error) {
+        console.error('Error opening permanent assistant chat:', error);
+        toastr.error(t`Failed to open permanent assistant chat. See console for details.`);
+    }
+}
+async function createPermanentAssistant() {
+    if (is_group_generating || is_send_press) {
+        throw new Error(t`Cannot create while generating.`);
+    }
+    const formData = new FormData();
+    formData.append('ch_name', neutralCharacterName);
+    formData.append('file_name', defaultAssistantAvatar.replace('.png', ''));
+    formData.append('creator_notes', t`Automatically created character. Feel free to edit.`);
+    try {
+        const avatarResponse = await fetch(system_avatar);
+        const avatarBlob = await avatarResponse.blob();
+        formData.append('avatar', avatarBlob, defaultAssistantAvatar);
+    } catch (error) {
+        console.warn('Error fetching system avatar. Fallback image will be used.', error);
+    }
+    const headers = getRequestHeaders();
+    delete headers['Content-Type'];
+    const fetchResult = await fetch('/api/characters/create', {
+        method: 'POST',
+        headers: headers,
+        body: formData,
+        cache: 'no-cache',
+    });
+    if (!fetchResult.ok) {
+        throw new Error(t`Creation request did not succeed.`);
+    }
+    await getCharacters();
+}
+export async function openPermanentAssistantCard() {
+    const avatar = getPermanentAssistantAvatar();
+    const characterId = characters.findIndex(x => x.avatar === avatar);
+    if (characterId === -1) {
+        toastr.info(t`Assistant not found. Try sending a chat message.`);
+        return;
+    }
+    await selectCharacterById(characterId);
+}
+/**
+ * Assigns a character as the assistant.
+ * @param {string?} characterId Character ID
+ */
+export function assignCharacterAsAssistant(characterId) {
+    if (characterId === undefined) {
+        return;
+    }
+    /** @type {import('./char-data.js').v1CharData} */
+    const character = characters[characterId];
+    if (!character) {
+        return;
+    }
+    const currentAssistantAvatar = getPermanentAssistantAvatar();
+    if (currentAssistantAvatar === character.avatar) {
+        if (character.avatar === defaultAssistantAvatar) {
+            toastr.info(t`${character.name} is a system assistant. Choose another character.`);
+            return;
+        }
+        toastr.info(t`${character.name} is no longer your assistant.`);
+        accountStorage.removeItem(assistantAvatarKey);
+        return;
+    }
+    accountStorage.setItem(assistantAvatarKey, character.avatar);
+    printCharactersDebounced();
+    toastr.success(t`Set ${character.name} as your assistant.`);
+}
+export function initWelcomeScreen() {
+    const events = [event_types.CHAT_CHANGED, event_types.APP_READY];
+    for (const event of events) {
+        eventSource.makeFirst(event, openWelcomeScreen);
+    }
+    eventSource.on(event_types.CHARACTER_MANAGEMENT_DROPDOWN, (target) => {
+        if (target !== 'set_as_assistant') {
+            return;
+        }
+        assignCharacterAsAssistant(this_chid);
+    });
+    eventSource.on(event_types.CHARACTER_RENAMED, (oldAvatar, newAvatar) => {
+        if (oldAvatar === getPermanentAssistantAvatar()) {
+            accountStorage.setItem(assistantAvatarKey, newAvatar);
+        }
+    });
+}

public/scripts/world-info.js+2 -2 Viewed

     const roleValue = entry.position === world_info_position.atDepth ? String(entry.role ?? extension_prompt_roles.SYSTEM) : '';
     template
-        .find(`select[name="position"] option[value=${entry.position}][data-role="${roleValue}"]`)
+        .find(`select[name="position"] option[value="${entry.position}"][data-role="${roleValue}"]`)
         .prop('selected', true)
         .trigger('input');

@@ -4986,7 +4986,7 @@ export function checkEmbeddedWorld(chid) {
4986	toastr.info(	4986	toastr.info(
4987	'To import and use it, select "Import Card Lore" in the "More..." dropdown menu on the character panel.',	4987	'To import and use it, select "Import Card Lore" in the "More..." dropdown menu on the character panel.',
4988	`${characters[chid].name} has an embedded World/Lorebook`,	4988	`${characters[chid].name} has an embedded World/Lorebook`,
4989	{ timeOut: 5000, extendedTimeOut: 10000, positionClass: 'toast-top-center' },	4989	{ timeOut: 5000, extendedTimeOut: 10000 },
4990	);	4990	);
4991	}	4991	}
4992	}	4992	}

public/style.css+42 -8 Viewed

 @import url(css/accounts.css);
 @import url(css/tags.css);
 @import url(css/scrollable-button.css);
+@import url(css/welcome.css);
 :root {
     --doc-height: 100%;

     --avatar-base-width: 50px;
     --avatar-base-border-radius: 2px;
     --avatar-base-border-radius-round: 50%;
+    --avatar-base-border-radius-rounded: 10px;
     --inline-avatar-small-factor: 0.6;
     --animation-duration: 125ms;

@@ -166,7 +168,8 @@ body {
166	}	168	}
167		169
168	::-webkit-scrollbar-track:hover {	170	::-webkit-scrollbar-track:hover {
169	background-color: rgba(126, 126, 126, 0.2); /* Adaptive, but won't contrast with neutral-gray. */	171	/* Adaptive, but won't contrast with neutral-gray. */
		172	background-color: rgba(126, 126, 126, 0.2);
170	}	173	}
171		174
172	::-webkit-scrollbar-thumb {	175	::-webkit-scrollbar-thumb {

 .has_hover_label .label_icon {
     transition: opacity var(--animation-duration) ease, max-width var(--animation-duration) ease;
+}
 .has_hover_label .label {
     transition: opacity var(--animation-duration-slow) ease, max-width var(--animation-duration-slow) ease;
     /* Prevent double gap on hidden icon */

 .has_hover_label .label {
     transition-delay: var(--animation-duration-slow);
+}
 .has_hover_label.fast .label_icon,
 .has_hover_label.fast .label {
     transition-delay: var(--animation-duration);

 .mes_text em {
     color: var(--SmartThemeEmColor);
+}
 .mes_reasoning i,
 .mes_reasoning em {
     color: hsl(from var(--reasoning-em-color) h calc(s * var(--reasoning-saturation)) l);

 .mes_text q em {
     color: inherit;
+}
 .mes_reasoning q i,
 .mes_reasoning q em {
     color: hsl(from var(--SmartThemeQuoteColor) h calc(s * var(--reasoning-saturation)) l);

@@ -519,6 +526,7 @@ input[type='checkbox']:focus-visible {
519	.mes_text u {	526	.mes_text u {
520	color: var(--SmartThemeUnderlineColor);	527	color: var(--SmartThemeUnderlineColor);
521	}	528	}
		529
522	.mes_reasoning u {	530	.mes_reasoning u {
523	color: hsl(from var(--SmartThemeUnderlineColor) h calc(s * var(--reasoning-saturation)) l);	531	color: hsl(from var(--SmartThemeUnderlineColor) h calc(s * var(--reasoning-saturation)) l);
524	}	532	}

@@ -526,6 +534,7 @@ input[type='checkbox']:focus-visible {
526	.mes_text q {	534	.mes_text q {
527	color: var(--SmartThemeQuoteColor);	535	color: var(--SmartThemeQuoteColor);
528	}	536	}
		537
529	.mes_reasoning q {	538	.mes_reasoning q {
530	color: hsl(from var(--SmartThemeQuoteColor) h calc(s * var(--reasoning-saturation)) l);	539	color: hsl(from var(--SmartThemeQuoteColor) h calc(s * var(--reasoning-saturation)) l);
531	}	540	}

 .missing-avatar.inline_avatar {
     padding: unset;
     border-radius: var(--avatar-base-border-radius-round);
-    width: fit-content;
+    font-size: 20px;
+}
 /*applies to char list and mes_text char display name*/

 /* Override toastr default styles */
-body #toast-container {
+body>#toast-container {
-    top: var(--topBarBlockSize);
+    margin-top: var(--topBarBlockSize);
+}
 body #toast-container>div {
     opacity: 1;
     filter: unset;
     -ms-filter: unset;
+    padding: 10px 10px 10px 50px;
+    font-size: calc(var(--mainFontSize) * 0.95);
+    width: 300px;
+}
+body #toast-container .toast-success {
+    background-color: #5d9e5d;
+}
+body #toast-container .toast-error {
+    background-color: #a83c36;
+}
+body #toast-container .toast-info {
+    background-color: #4092aa;
+}
+body #toast-container .toast-warning {
+    background-color: #e29325;
+}
+button.toast-close-button {
+    padding-right: 5px;
+    padding-top: 3px;
+}
 #dialogue_del_mes {

@@ -4028,6 +4061,7 @@ input[type='checkbox'].del_checkbox {
4028	.avatar-container:not(.locked_to_chat) .locked_to_chat_label {	4061	.avatar-container:not(.locked_to_chat) .locked_to_chat_label {
4029	display: none;	4062	display: none;
4030	}	4063	}
		4064
4031	.avatar-container:not(.locked_to_character) .locked_to_character_label {	4065	.avatar-container:not(.locked_to_character) .locked_to_character_label {
4032	display: none;	4066	display: none;
4033	}	4067	}

@@ -4047,7 +4081,7 @@ input[type='checkbox'].del_checkbox {
4047	}	4081	}
4048		4082
4049	#lock_user_name.locked {	4083	#lock_user_name.locked {
4050	border-color: color-mix(in srgb, var(--SmartThemeQuoteColor) 50%, var(--SmartThemeBorderColor));;	4084	border-color: color-mix(in srgb, var(--SmartThemeQuoteColor) 50%, var(--SmartThemeBorderColor));
4051	}	4085	}
4052		4086
4053	#lock_persona_to_char.locked {	4087	#lock_persona_to_char.locked {

     flex-wrap: nowrap;
     justify-content: space-between;
     align-items: center;
-    gap: 10px;
+    gap: 5px;
-    padding: 0 2px;
+}
-.mes_text div[data-type="assistant_note"]:has(.assistant_note_export)>div:not(.assistant_note_export) {
+.mes_text div[data-type="assistant_note"]:has(.assistant_note_export)>div {
     flex: 1;
+    text-align: left;
+}
 .oneline-dropdown label {

src/constants.js+2 -0 Viewed

     OPENROUTER: 'openrouter',
     AI21: 'ai21',
     MAKERSUITE: 'makersuite',
+    VERTEXAI: 'vertexai',
     MISTRALAI: 'mistralai',
     CUSTOM: 'custom',
     COHERE: 'cohere',

     NANOGPT: 'nanogpt',
     DEEPSEEK: 'deepseek',
     XAI: 'xai',
+    POLLINATIONS: 'pollinations',
 };
 /**

src/endpoints/backends/chat-completions.js+122 -55 Viewed

 const API_PERPLEXITY = 'https://api.perplexity.ai';
 const API_GROQ = 'https://api.groq.com/openai/v1';
 const API_MAKERSUITE = 'https://generativelanguage.googleapis.com';
+const API_VERTEX_AI = 'https://us-central1-aiplatform.googleapis.com';
 const API_01AI = 'https://api.lingyiwanwu.com/v1';
 const API_AI21 = 'https://api.ai21.com/studio/v1';
 const API_NANOGPT = 'https://nano-gpt.com/api/v1';
 const API_DEEPSEEK = 'https://api.deepseek.com/beta';
 const API_XAI = 'https://api.x.ai/v1';
+const API_POLLINATIONS = 'https://text.pollinations.ai/openai';
 /**
  * Applies a post-processing step to the generated messages.

     switch (type) {
         case 'merge':
         case 'claude':
-            return mergeMessages(messages, names, false, false);
+            return mergeMessages(messages, names, { strict: false, placeholders: false, single: false });
         case 'semi':
-            return mergeMessages(messages, names, true, false);
+            return mergeMessages(messages, names, { strict: true, placeholders: false, single: false });
         case 'strict':
-            return mergeMessages(messages, names, true, true);
+            return mergeMessages(messages, names, { strict: true, placeholders: true, single: false });
         case 'deepseek':
-            return addAssistantPrefix(mergeMessages(messages, names, true, false));
+            return addAssistantPrefix(mergeMessages(messages, names, { strict: true, placeholders: false, single: false }));
         case 'deepseek-reasoner':
-            return addAssistantPrefix(mergeMessages(messages, names, true, true));
+            return addAssistantPrefix(mergeMessages(messages, names, { strict: true, placeholders: true, single: false }));
+        case 'single':
+            return mergeMessages(messages, names, { strict: true, placeholders: false, single: true });
         default:
             return messages;
+    }

     const apiUrl = new URL(request.body.reverse_proxy || API_CLAUDE).toString();
     const apiKey = request.body.reverse_proxy ? request.body.proxy_password : readSecret(request.user.directories, SECRET_KEYS.CLAUDE);
     const divider = '-'.repeat(process.stdout.columns);
-    const enableSystemPromptCache = getConfigValue('claude.enableSystemPromptCache', false, 'boolean') && request.body.model.startsWith('claude-3');
+    const isClaude3or4 = /^claude-(3|opus-4|sonnet-4)/.test(request.body.model);
+    const enableSystemPromptCache = getConfigValue('claude.enableSystemPromptCache', false, 'boolean') && isClaude3or4;
     let cachingAtDepth = getConfigValue('claude.cachingAtDepth', -1, 'number');
     // Disabled if not an integer or negative, or if the model doesn't support it
-    if (!Number.isInteger(cachingAtDepth) || cachingAtDepth < 0 || !request.body.model.startsWith('claude-3')) {
+    if (!Number.isInteger(cachingAtDepth) || cachingAtDepth < 0 || !isClaude3or4) {
         cachingAtDepth = -1;
+    }

         });
         const additionalHeaders = {};
         const betaHeaders = ['output-128k-2025-02-19'];
-        const useTools = request.body.model.startsWith('claude-3') && Array.isArray(request.body.tools) && request.body.tools.length > 0;
+        const useTools = isClaude3or4 && Array.isArray(request.body.tools) && request.body.tools.length > 0;
-        const useSystemPrompt = (request.body.model.startsWith('claude-2') || request.body.model.startsWith('claude-3')) && request.body.claude_use_sysprompt;
+        const useSystemPrompt = Boolean(request.body.claude_use_sysprompt);
         const convertedPrompt = convertClaudeMessages(request.body.messages, request.body.assistant_prefill, useSystemPrompt, useTools, getPromptNames(request));
-        const useThinking = request.body.model.startsWith('claude-3-7') && Boolean(request.body.include_reasoning);
+        const useThinking = /^claude-(3-7|opus-4|sonnet-4)/.test(request.body.model);
-        let voidPrefill = false;
+        const useWebSearch = /^claude-(3-5|3-7|opus-4|sonnet-4)/.test(request.body.model) && Boolean(request.body.enable_web_search);
+        const cacheTTL = getConfigValue('claude.extendedTTL', false, 'boolean') ? '1h' : '5m';
+        let fixThinkingPrefill = false;
         // Add custom stop sequences
         const stopSequences = [];
         if (Array.isArray(request.body.stop)) {

         };
         if (useSystemPrompt) {
             if (enableSystemPromptCache && Array.isArray(convertedPrompt.systemPrompt) && convertedPrompt.systemPrompt.length) {
-                convertedPrompt.systemPrompt[convertedPrompt.systemPrompt.length - 1]['cache_control'] = { type: 'ephemeral' };
+                convertedPrompt.systemPrompt[convertedPrompt.systemPrompt.length - 1]['cache_control'] = { type: 'ephemeral', ttl: cacheTTL };
+            }
             requestBody.system = convertedPrompt.systemPrompt;

                 .map(tool => tool.function)
                 .map(fn => ({ name: fn.name, description: fn.description, input_schema: fn.parameters }));
-            if (requestBody.tools.length) {
-                // No prefill when using tools
-                voidPrefill = true;
-            }
             if (enableSystemPromptCache && requestBody.tools.length) {
-                requestBody.tools[requestBody.tools.length - 1]['cache_control'] = { type: 'ephemeral' };
+                requestBody.tools[requestBody.tools.length - 1]['cache_control'] = { type: 'ephemeral', ttl: cacheTTL };
+            }
+        }
+        if (useWebSearch) {
+            const webSearchTool = [{
+                'type': 'web_search_20250305',
+                'name': 'web_search',
+            }];
+            requestBody.tools = [...webSearchTool, ...(requestBody.tools || [])];
+        }
         if (cachingAtDepth !== -1) {
-            cachingAtDepthForClaude(convertedPrompt.messages, cachingAtDepth);
+            cachingAtDepthForClaude(convertedPrompt.messages, cachingAtDepth, cacheTTL);
+        }
         if (enableSystemPromptCache || cachingAtDepth !== -1) {
             betaHeaders.push('prompt-caching-2024-07-31');
+            betaHeaders.push('extended-cache-ttl-2025-04-11');
+        }
-        if (useThinking) {
+        const reasoningEffort = request.body.reasoning_effort;
+        const budgetTokens = calculateClaudeBudgetTokens(requestBody.max_tokens, reasoningEffort, requestBody.stream);
+        if (useThinking && Number.isInteger(budgetTokens)) {
             // No prefill when thinking
-            voidPrefill = true;
+            fixThinkingPrefill = true;
-            const reasoningEffort = request.body.reasoning_effort;
-            const budgetTokens = calculateClaudeBudgetTokens(requestBody.max_tokens, reasoningEffort, requestBody.stream);
             const minThinkTokens = 1024;
             if (requestBody.max_tokens <= minThinkTokens) {
                 const newValue = requestBody.max_tokens + minThinkTokens;

@@ -223,8 +236,8 @@ async function sendClaudeRequest(request, response) {
223	delete requestBody.top_k;	236	delete requestBody.top_k;
224	}	237	}
225		238
226	if (voidPrefill && convertedPrompt.messages.length && convertedPrompt.messages[convertedPrompt.messages.length - 1].role === 'assistant') {	239	if (fixThinkingPrefill && convertedPrompt.messages.length && convertedPrompt.messages[convertedPrompt.messages.length - 1].role === 'assistant') {
227	convertedPrompt.messages.push({ role: 'user', content: [{ type: 'text', text: '\u200b' }] });	240	convertedPrompt.messages[convertedPrompt.messages.length - 1].role = 'user';
228	}	241	}
229		242
230	if (betaHeaders.length) {	243	if (betaHeaders.length) {

  * @param {express.Response} response Express response
  */
 async function sendMakerSuiteRequest(request, response) {
-    const apiUrl = new URL(request.body.reverse_proxy || API_MAKERSUITE);
+    const useVertexAi = request.body.chat_completion_source === CHAT_COMPLETION_SOURCES.VERTEXAI;
-    const apiKey = request.body.reverse_proxy ? request.body.proxy_password : readSecret(request.user.directories, SECRET_KEYS.MAKERSUITE);
+    const apiName = useVertexAi ? 'Google Vertex AI' : 'Google AI Studio';
+    let apiUrl;
+    let apiKey;
-    if (!request.body.reverse_proxy && !apiKey) {
+    if (useVertexAi) {
-        console.warn('Google AI Studio API key is missing.');
+        apiUrl = new URL(request.body.reverse_proxy || API_VERTEX_AI);
-        return response.status(400).send({ error: true });
+        apiKey = request.body.reverse_proxy ? request.body.proxy_password : readSecret(request.user.directories, SECRET_KEYS.VERTEXAI);
+        if (!request.body.reverse_proxy && !apiKey) {
+            console.warn(`${apiName} API key is missing.`);
+            return response.status(400).send({ error: true });
+        }
+    } else {
+        apiUrl = new URL(request.body.reverse_proxy || API_MAKERSUITE);
+        apiKey = request.body.reverse_proxy ? request.body.proxy_password : readSecret(request.user.directories, SECRET_KEYS.MAKERSUITE);
+        if (!request.body.reverse_proxy && !apiKey) {
+            console.warn(`${apiName} API key is missing.`);
+            return response.status(400).send({ error: true });
+        }
+    }
     const model = String(request.body.model);

     const enableWebSearch = Boolean(request.body.enable_web_search);
     const requestImages = Boolean(request.body.request_images);
     const reasoningEffort = String(request.body.reasoning_effort);
+    const includeReasoning = Boolean(request.body.include_reasoning);
     const isGemma = model.includes('gemma');
     const isLearnLM = model.includes('learnlm');

     function getGeminiBody() {
         // #region UGLY MODEL LISTS AREA
-        const imageGenerationModels =  [
+        const imageGenerationModels = [
             'gemini-2.0-flash-exp',
             'gemini-2.0-flash-exp-image-generation',
         ];

             'gemini-1.5-flash-8b-exp-0924',
         ];
-        const thinkingBudgetModels = [
+        const isThinkingConfigModel = m => /^gemini-2.5-(flash|pro)/.test(m);
-            'gemini-2.5-flash-preview-04-17',
+        const isThinkingBudgetModel = m => /^gemini-2.5-flash/.test(m);
-        ];
         const noSearchModels = [
             'gemini-2.0-flash-lite',

@@ -427,12 +455,17 @@ async function sendMakerSuiteRequest(request, response) {
427	tools.push({ function_declarations: functionDeclarations });	455	tools.push({ function_declarations: functionDeclarations });
428	}	456	}
429		457
430	if (thinkingBudgetModels.includes(model)) {	458	if (isThinkingConfigModel(model)) {
431	const thinkingBudget = calculateGoogleBudgetTokens(generationConfig.maxOutputTokens, reasoningEffort);	459	const thinkingConfig = { includeThoughts: includeReasoning };
432		460
433	if (Number.isInteger(thinkingBudget)) {	461	if (isThinkingBudgetModel(model)) {
434	generationConfig.thinkingConfig = { thinkingBudget: thinkingBudget };	462	const thinkingBudget = calculateGoogleBudgetTokens(generationConfig.maxOutputTokens, reasoningEffort);
		463	if (Number.isInteger(thinkingBudget)) {
		464	thinkingConfig.thinkingBudget = thinkingBudget;
		465	}
435	}	466	}
		467
		468	generationConfig.thinkingConfig = thinkingConfig;
436	}	469	}
437		470
438	let body = {	471	let body = {

+    }
     const body = getGeminiBody();
-    console.debug('Google AI Studio request:', body);
+    console.debug(`${apiName} request:`, body);
     try {
         const controller = new AbortController();

         const apiVersion = getConfigValue('gemini.apiVersion', 'v1beta');
         const responseType = (stream ? 'streamGenerateContent' : 'generateContent');
-        const generateResponse = await fetch(`${apiUrl.toString().replace(/\/$/, '')}/${apiVersion}/models/${model}:${responseType}?key=${apiKey}${stream ? '&alt=sse' : ''}`, {
+        let url;
+        if (useVertexAi) {
+            url = `${apiUrl.toString().replace(/\/$/, '')}/v1/publishers/google/models/${model}:${responseType}?key=${apiKey}${stream ? '&alt=sse' : ''}`;
+        } else {
+            url = `${apiUrl.toString().replace(/\/$/, '')}/${apiVersion}/models/${model}:${responseType}?key=${apiKey}${stream ? '&alt=sse' : ''}`;
+        }
+        const generateResponse = await fetch(url, {
             body: JSON.stringify(body),
             method: 'POST',
             headers: {

@@ -486,7 +525,7 @@ async function sendMakerSuiteRequest(request, response) {
486	}	525	}
487	} else {	526	} else {
488	if (!generateResponse.ok) {	527	if (!generateResponse.ok) {
489	console.warn(`Google AI Studio API returned error: ${generateResponse.status} ${generateResponse.statusText} ${await generateResponse.text()}`);	528	console.warn(`${apiName} API returned error: ${generateResponse.status} ${generateResponse.statusText} ${await generateResponse.text()}`);
490	return response.status(500).send({ error: true });	529	return response.status(500).send({ error: true });
491	}	530	}
492		531

             const candidates = generateResponseJson?.candidates;
             if (!candidates || candidates.length === 0) {
-                let message = 'Google AI Studio API returned no candidate';
+                let message = `${apiName} API returned no candidate`;
                 console.warn(message, generateResponseJson);
                 if (generateResponseJson?.promptFeedback?.blockReason) {
                     message += `\nPrompt was blocked due to : ${generateResponseJson.promptFeedback.blockReason}`;

             const responseContent = candidates[0].content ?? candidates[0].output;
             const functionCall = (candidates?.[0]?.content?.parts ?? []).some(part => part.functionCall);
             const inlineData = (candidates?.[0]?.content?.parts ?? []).some(part => part.inlineData);
-            console.debug('Google AI Studio response:', util.inspect(generateResponseJson, { depth: 5, colors: true }));
+            console.debug(`${apiName} response:`, util.inspect(generateResponseJson, { depth: 5, colors: true }));
             const responseText = typeof responseContent === 'string' ? responseContent : responseContent?.parts?.filter(part => !part.thought)?.map(part => part.text)?.join('\n\n');
             if (!responseText && !functionCall && !inlineData) {
-                let message = 'Google AI Studio Candidate text empty';
+                let message = `${apiName} Candidate text empty`;
                 console.warn(message, generateResponseJson);
                 return response.send({ error: { message } });
+            }

@@ -520,7 +559,7 @@ async function sendMakerSuiteRequest(request, response) {
520	return response.send(reply);	559	return response.send(reply);
521	}	560	}
522	} catch (error) {	561	} catch (error) {
523	console.error('Error communicating with Google AI Studio API: ', error);	562	console.error(`Error communicating with ${apiName} API:`, error);
524	if (!response.headersSent) {	563	if (!response.headersSent) {
525	return response.status(500).send({ error: true });	564	return response.status(500).send({ error: true });
526	}	565	}

         if (Array.isArray(request.body.tools) && request.body.tools.length > 0) {
             bodyParams['tools'] = request.body.tools;
             bodyParams['tool_choice'] = request.body.tool_choice;
+            // DeepSeek doesn't permit empty required arrays
+            bodyParams.tools.forEach(tool => {
+                const required = tool?.function?.parameters?.required;
+                if (Array.isArray(required) && required.length === 0) {
+                    delete tool.function.parameters.required;
+                }
+            });
+        }
         const postProcessType = String(request.body.model).endsWith('-reasoner') ? 'deepseek-reasoner' : 'deepseek';

         api_url = new URL(request.body.reverse_proxy || API_XAI);
         api_key_openai = request.body.reverse_proxy ? request.body.proxy_password : readSecret(request.user.directories, SECRET_KEYS.XAI);
         headers = {};
+    } else if (request.body.chat_completion_source === CHAT_COMPLETION_SOURCES.POLLINATIONS) {
+        api_url = 'https://text.pollinations.ai';
+        api_key_openai = 'NONE';
+        headers = {};
     } else {
         console.warn('This chat completion source is not supported yet.');
         return response_getstatus_openai.status(400).send({ error: true });

         if (response.ok) {
             /** @type {any} */
-            const data = await response.json();
+            let data = await response.json();
+            if (request.body.chat_completion_source === CHAT_COMPLETION_SOURCES.POLLINATIONS && Array.isArray(data)) {
+                data = { data: data.map(model => ({ id: model.name, ...model })) };
+            }
             response_getstatus_openai.send(data);
             if (request.body.chat_completion_source === CHAT_COMPLETION_SOURCES.COHERE && Array.isArray(data?.models)) {

 router.post('/generate', function (request, response) {
     if (!request.body) return response.status(400).send({ error: true });
+    const postProcessingType = request.body.custom_prompt_post_processing;
+    if (Array.isArray(request.body.messages) && postProcessingType) {
+        console.info('Applying custom prompt post-processing of type', postProcessingType);
+        request.body.messages = postProcessPrompt(
+            request.body.messages,
+            postProcessingType,
+            getPromptNames(request));
+    }
     switch (request.body.chat_completion_source) {
         case CHAT_COMPLETION_SOURCES.CLAUDE: return sendClaudeRequest(request, response);
         case CHAT_COMPLETION_SOURCES.SCALE: return sendScaleRequest(request, response);
         case CHAT_COMPLETION_SOURCES.AI21: return sendAI21Request(request, response);
         case CHAT_COMPLETION_SOURCES.MAKERSUITE: return sendMakerSuiteRequest(request, response);
+        case CHAT_COMPLETION_SOURCES.VERTEXAI: return sendMakerSuiteRequest(request, response);
         case CHAT_COMPLETION_SOURCES.MISTRALAI: return sendMistralAIRequest(request, response);
         case CHAT_COMPLETION_SOURCES.COHERE: return sendCohereRequest(request, response);
         case CHAT_COMPLETION_SOURCES.DEEPSEEK: return sendDeepSeekRequest(request, response);

     let bodyParams;
     const isTextCompletion = Boolean(request.body.model && TEXT_COMPLETION_MODELS.includes(request.body.model)) || typeof request.body.messages === 'string';
-    const postProcessTypes = [CHAT_COMPLETION_SOURCES.CUSTOM, CHAT_COMPLETION_SOURCES.OPENROUTER];
-    if (Array.isArray(request.body.messages) && postProcessTypes.includes(request.body.chat_completion_source) && request.body.custom_prompt_post_processing) {
-        console.info('Applying custom prompt post-processing of type', request.body.custom_prompt_post_processing);
-        request.body.messages = postProcessPrompt(
-            request.body.messages,
-            request.body.custom_prompt_post_processing,
-            getPromptNames(request));
-    }
     if (request.body.chat_completion_source === CHAT_COMPLETION_SOURCES.OPENAI) {
         apiUrl = new URL(request.body.reverse_proxy || API_OPENAI).toString();
         apiKey = request.body.reverse_proxy ? request.body.proxy_password : readSecret(request.user.directories, SECRET_KEYS.OPENAI);

@@ -1238,7 +1295,8 @@ router.post('/generate', function (request, response) {
1238	}	1295	}
1239		1296
1240	let cachingAtDepth = getConfigValue('claude.cachingAtDepth', -1, 'number');	1297	let cachingAtDepth = getConfigValue('claude.cachingAtDepth', -1, 'number');
1241	if (Number.isInteger(cachingAtDepth) && cachingAtDepth >= 0 && request.body.model?.startsWith('anthropic/claude-3')) {	1298	const isClaude3or4 = /anthropic\/claude-(3\|opus-4\|sonnet-4)/.test(request.body.model);
		1299	if (Number.isInteger(cachingAtDepth) && cachingAtDepth >= 0 && isClaude3or4) {
1242	cachingAtDepthForOpenRouterClaude(request.body.messages, cachingAtDepth);	1300	cachingAtDepthForOpenRouterClaude(request.body.messages, cachingAtDepth);
1243	}	1301	}
1244	} else if (request.body.chat_completion_source === CHAT_COMPLETION_SOURCES.CUSTOM) {	1302	} else if (request.body.chat_completion_source === CHAT_COMPLETION_SOURCES.CUSTOM) {

         apiKey = readSecret(request.user.directories, SECRET_KEYS.ZEROONEAI);
         headers = {};
         bodyParams = {};
+    } else if (request.body.chat_completion_source === CHAT_COMPLETION_SOURCES.POLLINATIONS) {
+        apiUrl = API_POLLINATIONS;
+        apiKey = 'NONE';
+        headers = {};
+        bodyParams = {
+            reasoning_effort: request.body.reasoning_effort,
+            private: true,
+            referrer: 'sillytavern',
+        };
     } else {
         console.warn('This chat completion source is not supported yet.');
         return response.status(400).send({ error: true });

src/endpoints/backends/text-completions.js+0 -45 Viewed

 const llamacpp = express.Router();
-llamacpp.post('/caption-image', async function (request, response) {
-    try {
-        if (!request.body.server_url) {
-            return response.sendStatus(400);
-        }
-        console.debug('LlamaCpp caption request:', request.body);
-        const baseUrl = trimV1(request.body.server_url);
-        const fetchResponse = await fetch(`${baseUrl}/completion`, {
-            method: 'POST',
-            headers: { 'Content-Type': 'application/json' },
-            body: JSON.stringify({
-                prompt: `USER:[img-1]${String(request.body.prompt).trim()}\nASSISTANT:`,
-                image_data: [{ data: request.body.image, id: 1 }],
-                temperature: 0.1,
-                stream: false,
-                stop: ['USER:', '</s>'],
-            }),
-        });
-        if (!fetchResponse.ok) {
-            console.error('LlamaCpp caption error:', fetchResponse.status, fetchResponse.statusText);
-            return response.status(500).send({ error: true });
-        }
-        /** @type {any} */
-        const data = await fetchResponse.json();
-        console.debug('LlamaCpp caption response:', data);
-        const caption = data?.content || '';
-        if (!caption) {
-            console.error('LlamaCpp caption is empty.');
-            return response.status(500).send({ error: true });
-        }
-        return response.send({ caption });
-    } catch (error) {
-        console.error(error);
-        return response.sendStatus(500);
-    }
-});
 llamacpp.post('/props', async function (request, response) {
     try {
         if (!request.body.server_url) {

src/endpoints/characters.js+8 -52 Viewed

 import path from 'node:path';
 import fs from 'node:fs';
 import { promises as fsPromises } from 'node:fs';
-import readline from 'node:readline';
 import { Buffer } from 'node:buffer';
 import express from 'express';

 import { invalidateThumbnail } from './thumbnails.js';
 import { importRisuSprites } from './sprites.js';
 import { getUserDirectories } from '../users.js';
+import { getChatInfo } from './chats.js';
 const defaultAvatarPath = './public/img/ai4.png';
 // With 100 MB limit it would take roughly 3000 characters to reach this limit

     _.set(char, 'mes_example', data.mes_example || '');
     // Old ST extension fields (for backward compatibility, will be deprecated)
-    _.set(char, 'creatorcomment', data.creator_notes);
+    _.set(char, 'creatorcomment', data.creator_notes || '');
     _.set(char, 'avatar', 'none');
     _.set(char, 'chat', data.ch_name + ' - ' + humanizedISO8601DateTime());
-    _.set(char, 'talkativeness', data.talkativeness);
+    _.set(char, 'talkativeness', data.talkativeness || 0.5);
     _.set(char, 'fav', data.fav == 'true');
     _.set(char, 'tags', typeof data.tags == 'string' ? (data.tags.split(',').map(x => x.trim()).filter(x => x)) : data.tags || []);

     _.set(char, 'data.alternate_greetings', getAlternateGreetings(data));
     // ST extension fields to V2 object
-    _.set(char, 'data.extensions.talkativeness', data.talkativeness);
+    _.set(char, 'data.extensions.talkativeness', data.talkativeness || 0.5);
     _.set(char, 'data.extensions.fav', data.fav == 'true');
     _.set(char, 'data.extensions.world', data.world || '');

         request.body.ch_name = sanitize(request.body.ch_name);
         const char = JSON.stringify(charaFormatData(request.body, request.user.directories));
-        const internalName = getPngName(request.body.ch_name, request.user.directories);
+        const internalName = request.body.file_name || getPngName(request.body.ch_name, request.user.directories);
         const avatarName = `${internalName}.png`;
         const chatsPath = path.join(request.user.directories.chats, internalName);

         if (!request.body) return response.sendStatus(400);
         const characterDirectory = (request.body.avatar_url).replace('.png', '');
         const chatsDirectory = path.join(request.user.directories.chats, characterDirectory);
         if (!fs.existsSync(chatsDirectory)) {

+        }
         const jsonFilesPromise = jsonFiles.map((file) => {
-            return new Promise(async (res) => {
+            const pathToFile = path.join(request.user.directories.chats, characterDirectory, file);
-                const pathToFile = path.join(request.user.directories.chats, characterDirectory, file);
+            return getChatInfo(pathToFile);
-                const fileStream = fs.createReadStream(pathToFile);
-                const stats = fs.statSync(pathToFile);
-                const fileSizeInKB = `${(stats.size / 1024).toFixed(2)}kb`;
-                if (stats.size === 0) {
-                    console.warn(`Found an empty chat file: ${pathToFile}`);
-                    res({});
-                    return;
-                }
-                const rl = readline.createInterface({
-                    input: fileStream,
-                    crlfDelay: Infinity,
-                });
-                let lastLine;
-                let itemCounter = 0;
-                rl.on('line', (line) => {
-                    itemCounter++;
-                    lastLine = line;
-                });
-                rl.on('close', () => {
-                    rl.close();
-                    if (lastLine) {
-                        const jsonData = tryParse(lastLine);
-                        if (jsonData && (jsonData.name || jsonData.character_name)) {
-                            const chatData = {};
-                            chatData['file_name'] = file;
-                            chatData['file_size'] = fileSizeInKB;
-                            chatData['chat_items'] = itemCounter - 1;
-                            chatData['mes'] = jsonData['mes'] || '[The chat is empty]';
-                            chatData['last_mes'] = jsonData['send_date'] || Date.now();
-                            res(chatData);
-                        } else {
-                            console.warn('Found an invalid or corrupted chat file:', pathToFile);
-                            res({});
-                        }
-                    }
-                });
-            });
         });
-        const chatData = await Promise.all(jsonFilesPromise);
+        const chatData = (await Promise.allSettled(jsonFilesPromise)).filter(x => x.status === 'fulfilled').map(x => x.value);
         const validFiles = chatData.filter(i => i.file_name);
         return response.send(validFiles);

src/endpoints/chats.js+148 -0 Viewed

     return chatIntegrity === integritySlug;
+}
+/**
+ * @typedef {Object} ChatInfo
+ * @property {string} [file_name] - The name of the chat file
+ * @property {string} [file_size] - The size of the chat file
+ * @property {number} [chat_items] - The number of chat items in the file
+ * @property {string} [mes] - The last message in the chat
+ * @property {number} [last_mes] - The timestamp of the last message
+ */
+/**
+ * Reads the information from a chat file.
+ * @param {string} pathToFile
+ * @param {object} additionalData
+ * @returns {Promise<ChatInfo>}
+ */
+export async function getChatInfo(pathToFile, additionalData = {}, isGroup = false) {
+    return new Promise(async (res) => {
+        const stats = await fs.promises.stat(pathToFile);
+        const fileSizeInKB = `${(stats.size / 1024).toFixed(2)}kb`;
+        const chatData = {
+            file_name: path.parse(pathToFile).base,
+            file_size: fileSizeInKB,
+            chat_items: 0,
+            mes: '[The chat is empty]',
+            last_mes: stats.mtimeMs,
+            ...additionalData,
+        };
+        if (stats.size === 0 && !isGroup) {
+            console.warn(`Found an empty chat file: ${pathToFile}`);
+            res({});
+            return;
+        }
+        if (stats.size === 0 && isGroup) {
+            res(chatData);
+            return;
+        }
+        const fileStream = fs.createReadStream(pathToFile);
+        const rl = readline.createInterface({
+            input: fileStream,
+            crlfDelay: Infinity,
+        });
+        let lastLine;
+        let itemCounter = 0;
+        rl.on('line', (line) => {
+            itemCounter++;
+            lastLine = line;
+        });
+        rl.on('close', () => {
+            rl.close();
+            if (lastLine) {
+                const jsonData = tryParse(lastLine);
+                if (jsonData && (jsonData.name || jsonData.character_name)) {
+                    chatData.chat_items = isGroup ? itemCounter : (itemCounter - 1);
+                    chatData.mes = jsonData['mes'] || '[The chat is empty]';
+                    chatData.last_mes = jsonData['send_date'] || stats.mtimeMs;
+                    res(chatData);
+                } else {
+                    console.warn('Found an invalid or corrupted chat file:', pathToFile);
+                    res({});
+                }
+            }
+        });
+    });
+}
 export const router = express.Router();
 router.post('/save', validateAvatarUrlMiddleware, async function (request, response) {

         return response.status(500).json({ error: 'Search failed' });
+    }
 });
+router.post('/recent', async function (request, response) {
+    try {
+        /** @type {{pngFile?: string, groupId?: string, filePath: string, mtime: number}[]} */
+        const allChatFiles = [];
+        const getCharacterChatFiles = async () => {
+            const pngDirents = await fs.promises.readdir(request.user.directories.characters, { withFileTypes: true });
+            const pngFiles = pngDirents.filter(e => e.isFile() && path.extname(e.name) === '.png').map(e => e.name);
+            for (const pngFile of pngFiles) {
+                const chatsDirectory = pngFile.replace('.png', '');
+                const pathToChats = path.join(request.user.directories.chats, chatsDirectory);
+                if (!fs.existsSync(pathToChats)) {
+                    continue;
+                }
+                const pathStats = await fs.promises.stat(pathToChats);
+                if (pathStats.isDirectory()) {
+                    const chatFiles = await fs.promises.readdir(pathToChats);
+                    const jsonlFiles = chatFiles.filter(file => path.extname(file) === '.jsonl');
+                    for (const file of jsonlFiles) {
+                        const filePath = path.join(pathToChats, file);
+                        const stats = await fs.promises.stat(filePath);
+                        allChatFiles.push({ pngFile, filePath, mtime: stats.mtimeMs });
+                    }
+                }
+            }
+        };
+        const getGroupChatFiles = async () => {
+            const groupDirents = await fs.promises.readdir(request.user.directories.groups, { withFileTypes: true });
+            const groups = groupDirents.filter(e => e.isFile() && path.extname(e.name) === '.json').map(e => e.name);
+            for (const group of groups) {
+                try {
+                    const groupPath = path.join(request.user.directories.groups, group);
+                    const groupContents = await fs.promises.readFile(groupPath, 'utf8');
+                    const groupData = JSON.parse(groupContents);
+                    if (Array.isArray(groupData.chats)) {
+                        for (const chat of groupData.chats) {
+                            const filePath = path.join(request.user.directories.groupChats, `${chat}.jsonl`);
+                            if (!fs.existsSync(filePath)) {
+                                continue;
+                            }
+                            const stats = await fs.promises.stat(filePath);
+                            allChatFiles.push({ groupId: groupData.id, filePath, mtime: stats.mtimeMs });
+                        }
+                    }
+                } catch (error) {
+                    // Skip group files that can't be read or parsed
+                    continue;
+                }
+            }
+        };
+        await Promise.allSettled([getCharacterChatFiles(), getGroupChatFiles()]);
+        const max = parseInt(request.body.max ?? Number.MAX_SAFE_INTEGER);
+        const recentChats = allChatFiles.sort((a, b) => b.mtime - a.mtime).slice(0, max);
+        const jsonFilesPromise = recentChats.map((file) => {
+            return file.groupId
+                ? getChatInfo(file.filePath, { group: file.groupId }, true)
+                : getChatInfo(file.filePath, { avatar: file.pngFile }, false);
+        });
+        const chatData = (await Promise.allSettled(jsonFilesPromise)).filter(x => x.status === 'fulfilled').map(x => x.value);
+        const validFiles = chatData.filter(i => i.file_name);
+        return response.send(validFiles);
+    } catch (error) {
+        console.error(error);
+        return response.sendStatus(500);
+    }
+});

src/endpoints/content-manager.js+53 -20 Viewed

 const scaffoldIndexPath = path.join(scaffoldDirectory, 'index.json');
 const WHITELIST_GENERIC_URL_DOWNLOAD_SOURCES = getConfigValue('whitelistImportDomains', []);
+const USER_AGENT = 'SillyTavern';
 /**
  * @typedef {Object} ContentItem

+}
 async function downloadChubLorebook(id) {
-    const result = await fetch('https://api.chub.ai/api/lorebooks/download', {
+    const [lorebooks, creatorName, projectName] = id.split('/');
-        method: 'POST',
+    const result = await fetch(`https://api.chub.ai/api/${lorebooks}/${creatorName}/${projectName}`, {
-        headers: { 'Content-Type': 'application/json' },
+        method: 'GET',
-        body: JSON.stringify({
+        headers: { 'Accept': 'application/json', 'User-Agent': USER_AGENT },
-            'fullPath': id,
-            'format': 'SILLYTAVERN',
-        }),
     });
     if (!result.ok) {
         const text = await result.text();
         console.error('Chub returned error', result.statusText, text);
+        throw new Error('Failed to fetch lorebook metadata');
+    }
+    /** @type {any} */
+    const metadata = await result.json();
+    const projectId = metadata.node?.id;
+    if (!projectId) {
+        throw new Error('Project ID not found in lorebook metadata');
+    }
+    const downloadUrl = `https://api.chub.ai/api/v4/projects/${projectId}/repository/files/raw%252Fsillytavern_raw.json/raw`;
+    const downloadResult = await fetch(downloadUrl, {
+        method: 'GET',
+        headers: { 'Accept': 'application/json', 'User-Agent': USER_AGENT },
+    });
+    if (!downloadResult.ok) {
+        const text = await downloadResult.text();
+        console.error('Chub returned error', downloadResult.statusText, text);
         throw new Error('Failed to download lorebook');
+    }
-    const name = id.split('/').pop();
+    const name = projectName;
-    const buffer = Buffer.from(await result.arrayBuffer());
+    const buffer = Buffer.from(await downloadResult.arrayBuffer());
     const fileName = `${sanitize(name)}.json`;
-    const fileType = result.headers.get('content-type');
+    const fileType = downloadResult.headers.get('content-type');
     return { buffer, fileName, fileType };
+}
 async function downloadChubCharacter(id) {
-    const result = await fetch('https://api.chub.ai/api/characters/download', {
+    const [creatorName, projectName] = id.split('/');
-        method: 'POST',
+    const result = await fetch(`https://api.chub.ai/api/characters/${creatorName}/${projectName}`, {
-        headers: { 'Content-Type': 'application/json' },
+        method: 'GET',
-        body: JSON.stringify({
+        headers: { 'Accept': 'application/json', 'User-Agent': USER_AGENT },
-            'format': 'tavern',
-            'fullPath': id,
-        }),
     });
     if (!result.ok) {
         const text = await result.text();
         console.error('Chub returned error', result.statusText, text);
+        throw new Error('Failed to fetch character metadata');
+    }
+    /** @type {any} */
+    const metadata = await result.json();
+    const downloadUrl = metadata.node?.max_res_url;
+    if (!downloadUrl) {
+        throw new Error('Download URL not found in character metadata');
+    }
+    const downloadResult = await fetch(downloadUrl);
+    if (!downloadResult.ok) {
+        const text = await downloadResult.text();
+        console.error('Chub returned error', downloadResult.statusText, text);
         throw new Error('Failed to download character');
+    }
-    const buffer = Buffer.from(await result.arrayBuffer());
+    const buffer = Buffer.from(await downloadResult.arrayBuffer());
-    const fileName = result.headers.get('content-disposition')?.split('filename=')[1] || `${sanitize(id)}.png`;
+    const fileName =
-    const fileType = result.headers.get('content-type');
+        downloadResult.headers.get('content-disposition')?.split('filename=')[1]?.replace(/["']/g, '') ||
+        `${sanitize(projectName)}.png`;
+    const fileType = downloadResult.headers.get('content-type');
     return { buffer, fileName, fileType };
+}

src/endpoints/google.js+22 -6 Viewed

 import { GEMINI_SAFETY } from '../constants.js';
 const API_MAKERSUITE = 'https://generativelanguage.googleapis.com';
+const API_VERTEX_AI = 'https://us-central1-aiplatform.googleapis.com';
 export const router = express.Router();

     try {
         const mimeType = request.body.image.split(';')[0].split(':')[1];
         const base64Data = request.body.image.split(',')[1];
-        const apiKey = request.body.reverse_proxy ? request.body.proxy_password : readSecret(request.user.directories, SECRET_KEYS.MAKERSUITE);
+        const useVertexAi = request.body.api === 'vertexai';
-        const apiUrl = new URL(request.body.reverse_proxy || API_MAKERSUITE);
+        const apiName = useVertexAi ? 'Google Vertex AI' : 'Google AI Studio';
+        let apiKey;
+        let apiUrl;
+        if (useVertexAi) {
+            apiKey = request.body.reverse_proxy ? request.body.proxy_password : readSecret(request.user.directories, SECRET_KEYS.VERTEXAI);
+            apiUrl = new URL(request.body.reverse_proxy || API_VERTEX_AI);
+        } else {
+            apiKey = request.body.reverse_proxy ? request.body.proxy_password : readSecret(request.user.directories, SECRET_KEYS.MAKERSUITE);
+            apiUrl = new URL(request.body.reverse_proxy || API_MAKERSUITE);
+        }
         const model = request.body.model || 'gemini-2.0-flash';
-        const url = `${apiUrl.origin}/v1beta/models/${model}:generateContent?key=${apiKey}`;
+        let url;
+        if (useVertexAi) {
+            url = `${apiUrl.origin}/v1/publishers/google/models/${model}:generateContent?key=${apiKey}`;
+        } else {
+            url = `${apiUrl.origin}/v1beta/models/${model}:generateContent?key=${apiKey}`;
+        }
         const body = {
             contents: [{
+                role: 'user',
                 parts: [
                     { text: request.body.prompt },
+                    {

             safetySettings: GEMINI_SAFETY,
         };
-        console.debug('Multimodal captioning request', model, body);
+        console.debug(`${apiName} captioning request`, model, body);
         const result = await fetch(url, {
             body: JSON.stringify(body),

         if (!result.ok) {
             const error = await result.json();
-            console.error(`Google AI Studio API returned error: ${result.status} ${result.statusText}`, error);
+            console.error(`${apiName} API returned error: ${result.status} ${result.statusText}`, error);
             return response.status(500).send({ error: true });
+        }
         /** @type {any} */
         const data = await result.json();
-        console.info('Multimodal captioning response', data);
+        console.info(`${apiName} captioning response`, data);
         const candidates = data?.candidates;
         if (!candidates) {

src/endpoints/novelai.js+3 -2 Viewed

             });
             if (!upscaleResult.ok) {
-                throw new Error('NovelAI returned an error.');
+                const text = await upscaleResult.text();
+                throw new Error('NovelAI returned an error.', { cause: text });
+            }
             const upscaledArchiveBuffer = await upscaleResult.arrayBuffer();

             return response.send(upscaledBase64);
         } catch (error) {
-            console.warn('NovelAI generated an image, but upscaling failed. Returning original image.');
+            console.warn('NovelAI generated an image, but upscaling failed. Returning original image.', error);
             return response.send(originalBase64);
+        }
     } catch (error) {

src/endpoints/openai.js+24 -16 Viewed

@@ -22,8 +22,12 @@ router.post('/caption-image', async (request, response) => {
22	key = readSecret(request.user.directories, SECRET_KEYS.OPENAI);	22	key = readSecret(request.user.directories, SECRET_KEYS.OPENAI);
23	}	23	}
24		24
25	if (request.body.api === 'openrouter' && !request.body.reverse_proxy) {	25	if (request.body.api === 'xai' && !request.body.reverse_proxy) {
26	key = readSecret(request.user.directories, SECRET_KEYS.OPENROUTER);	26	key = readSecret(request.user.directories, SECRET_KEYS.XAI);
		27	}
		28
		29	if (request.body.api === 'mistral' && !request.body.reverse_proxy) {
		30	key = readSecret(request.user.directories, SECRET_KEYS.MISTRALAI);
27	}	31	}
28		32
29	if (request.body.reverse_proxy && request.body.proxy_password) {	33	if (request.body.reverse_proxy && request.body.proxy_password) {

             mergeObjectWithYaml(headers, request.body.custom_include_headers);
+        }
+        if (request.body.api === 'openrouter') {
+            key = readSecret(request.user.directories, SECRET_KEYS.OPENROUTER);
+        }
         if (request.body.api === 'ooba') {
             key = readSecret(request.user.directories, SECRET_KEYS.OOBA);
             bodyParams.temperature = 0.1;

@@ -45,6 +53,10 @@ router.post('/caption-image', async (request, response) => {
45	key = readSecret(request.user.directories, SECRET_KEYS.KOBOLDCPP);	53	key = readSecret(request.user.directories, SECRET_KEYS.KOBOLDCPP);
46	}	54	}
47		55
		56	if (request.body.api === 'llamacpp') {
		57	key = readSecret(request.user.directories, SECRET_KEYS.LLAMACPP);
		58	}
		59
48	if (request.body.api === 'vllm') {	60	if (request.body.api === 'vllm') {
49	key = readSecret(request.user.directories, SECRET_KEYS.VLLM);	61	key = readSecret(request.user.directories, SECRET_KEYS.VLLM);
50	}	62	}

@@ -53,10 +65,6 @@ router.post('/caption-image', async (request, response) => {
53	key = readSecret(request.user.directories, SECRET_KEYS.ZEROONEAI);	65	key = readSecret(request.user.directories, SECRET_KEYS.ZEROONEAI);
54	}	66	}
55		67
56	if (request.body.api === 'mistral') {
57	key = readSecret(request.user.directories, SECRET_KEYS.MISTRALAI);
58	}
59
60	if (request.body.api === 'groq') {	68	if (request.body.api === 'groq') {
61	key = readSecret(request.user.directories, SECRET_KEYS.GROQ);	69	key = readSecret(request.user.directories, SECRET_KEYS.GROQ);
62	}	70	}

@@ -65,11 +73,8 @@ router.post('/caption-image', async (request, response) => {
65	key = readSecret(request.user.directories, SECRET_KEYS.COHERE);	73	key = readSecret(request.user.directories, SECRET_KEYS.COHERE);
66	}	74	}
67		75
68	if (request.body.api === 'xai') {	76	const noKeyTypes = ['custom', 'ooba', 'koboldcpp', 'vllm', 'llamacpp', 'pollinations'];
69	key = readSecret(request.user.directories, SECRET_KEYS.XAI);	77	if (!key && !request.body.reverse_proxy && !noKeyTypes.includes(request.body.api)) {
70	}
71
72	if (!key && !request.body.reverse_proxy && ['custom', 'ooba', 'koboldcpp', 'vllm'].includes(request.body.api) === false) {
73	console.warn('No key found for API', request.body.api);	78	console.warn('No key found for API', request.body.api);
74	return response.sendStatus(400);	79	return response.sendStatus(400);
75	}	80	}

             apiUrl = 'https://api.x.ai/v1/chat/completions';
+        }
-        if (request.body.api === 'ooba') {
+        if (request.body.api === 'pollinations') {
+            apiUrl = 'https://text.pollinations.ai/openai/chat/completions';
+        }
+        if (['koboldcpp', 'vllm', 'llamacpp', 'ooba'].includes(request.body.api)) {
             apiUrl = `${trimV1(request.body.server_url)}/v1/chat/completions`;
+        }
+        if (request.body.api === 'ooba') {
             const imgMessage = body.messages.pop();
             body.messages.push({
                 role: 'user',

             });
+        }
-        if (request.body.api === 'koboldcpp' || request.body.api === 'vllm') {
-            apiUrl = `${trimV1(request.body.server_url)}/v1/chat/completions`;
-        }
         setAdditionalHeaders(request, { headers }, apiUrl);
         console.debug('Multimodal captioning request', body);

src/endpoints/secrets.js+1 -0 Viewed

     ONERING_URL: 'oneringtranslator_url',
     DEEPLX_URL: 'deeplx_url',
     MAKERSUITE: 'api_key_makersuite',
+    VERTEXAI: 'api_key_vertexai',
     SERPAPI: 'api_key_serpapi',
     TOGETHERAI: 'api_key_togetherai',
     MISTRALAI: 'api_key_mistralai',

src/endpoints/stable-diffusion.js+4 -2 Viewed

             height: String(request.body.height ?? 1024),
             nologo: String(true),
             nofeed: String(true),
-            referer: 'sillytavern',
+            private: String(true),
+            referrer: 'sillytavern',
         });
         promptUrl.search = params.toString();

         const result = await fetch(promptUrl);
         if (!result.ok) {
-            console.warn('Pollinations returned an error.', result.status, result.statusText);
+            const text = await result.text();
+            console.warn('Pollinations returned an error.', text);
             throw new Error('Pollinations request failed.');
+        }

src/endpoints/tokenizers.js+1 -1 Viewed

@@ -463,7 +463,7 @@ export function getTokenizerModel(requestModel) {
463	return 'deepseek';	463	return 'deepseek';
464	}	464	}
465		465
466	if (requestModel.includes('gemma') \|\| requestModel.includes('gemini')) {	466	if (requestModel.includes('gemma') \|\| requestModel.includes('gemini') \|\| requestModel.includes('learnlm')) {
467	return 'gemma';	467	return 'gemma';
468	}	468	}
469		469

src/prompt-converters.js+31 -8 Viewed

  * Merge messages with the same consecutive role, removing names if they exist.
  * @param {any[]} messages Messages to merge
  * @param {PromptNames} names Prompt names
- * @param {boolean} strict Enable strict mode: only allow one system message at the start, force user first message
+ * @param {object} options Options for merging
- * @param {boolean} placeholders Add user placeholders to the messages in strict mode
+ * @param {boolean} [options.strict] Enable strict mode: only allow one system message at the start, force user first message
+ * @param {boolean} [options.placeholders] Add user placeholders to the messages in strict mode
+ * @param {boolean} [options.single] Force every role to be user, merging all messages into one
  * @returns {any[]} Merged messages
  */
-export function mergeMessages(messages, names, strict, placeholders) {
+export function mergeMessages(messages, names, { strict = false, placeholders = false, single = false } = {}) {
     let mergedMessages = [];
     /** @type {Map<string,object>} */

         if (message.role === 'tool') {
             message.role = 'user';
+        }
+        if (single) {
+            if (message.role === 'assistant') {
+                if (names.charName && !message.content.startsWith(`${names.charName}: `) && !names.startsWithGroupName(message.content)) {
+                    message.content = `${names.charName}: ${message.content}`;
+                }
+            }
+            if (message.role === 'user') {
+                if (names.userName && !message.content.startsWith(`${names.userName}: `)) {
+                    message.content = `${names.userName}: ${message.content}`;
+                }
+            }
+            message.role = 'user';
+        }
         delete message.name;
         delete message.tool_calls;
         delete message.tool_call_id;

@@ -807,7 +823,7 @@ export function mergeMessages(messages, names, strict, placeholders) {
807	mergedMessages.unshift({ role: 'user', content: PROMPT_PLACEHOLDER });	823	mergedMessages.unshift({ role: 'user', content: PROMPT_PLACEHOLDER });
808	}	824	}
809	}	825	}
810	return mergeMessages(mergedMessages, names, false, placeholders);	826	return mergeMessages(mergedMessages, names, { strict: false, placeholders, single: false });
811	}	827	}
812		828
813	return mergedMessages;	829	return mergedMessages;

     return messageStrings.join('\n') + '\nassistant:';
+}
-export function cachingAtDepthForClaude(messages, cachingAtDepth) {
+/**
+ * Append cache_control object to a Claude messages at depth. Directly modifies the messages array.
+ * @param {any[]} messages Messages to modify
+ * @param {number} cachingAtDepth Depth at which caching is supposed to occur
+ * @param {string} ttl TTL value
+ */
+export function cachingAtDepthForClaude(messages, cachingAtDepth, ttl) {
     let passedThePrefill = false;
     let depth = 0;
     let previousRoleName = '';

         if (messages[i].role !== previousRoleName) {
             if (depth === cachingAtDepth || depth === cachingAtDepth + 2) {
                 const content = messages[i].content;
-                content[content.length - 1].cache_control = { type: 'ephemeral' };
+                content[content.length - 1].cache_control = { type: 'ephemeral', ttl: ttl };
+            }
             if (depth === cachingAtDepth + 2) {

  * @param {number} maxTokens Maximum tokens
  * @param {string} reasoningEffort Reasoning effort
  * @param {boolean} stream If streaming is enabled
- * @returns {number} Budget tokens
+ * @returns {number?} Budget tokens
  */
 export function calculateClaudeBudgetTokens(maxTokens, reasoningEffort, stream) {
     let budgetTokens = 0;
     switch (reasoningEffort) {
+        case REASONING_EFFORT.auto:
+            return null;
         case REASONING_EFFORT.min:
             budgetTokens = 1024;
             break;
         case REASONING_EFFORT.low:
             budgetTokens = Math.floor(maxTokens * 0.1);
             break;
-        case REASONING_EFFORT.auto:
         case REASONING_EFFORT.medium:
             budgetTokens = Math.floor(maxTokens * 0.25);
             break;

src/server-main.js+1 -1 Viewed

 // Everything below this line requires authentication
 app.use(requireLoginMiddleware);
-app.get('/api/ping', (request, response) => {
+app.post('/api/ping', (request, response) => {
     if (request.query.extend && request.session) {
         request.session.touch = Date.now();
+    }

src/util.js+48 -25 Viewed

  * @returns {Promise<Buffer|null>} Buffer containing the extracted file. Null if the file was not found.
  */
 export async function extractFileFromZipBuffer(archiveBuffer, fileExtension) {
-    return await new Promise((resolve, reject) => yauzl.fromBuffer(Buffer.from(archiveBuffer), { lazyEntries: true }, (err, zipfile) => {
+    return await new Promise((resolve) => {
-        if (err) reject(err);
+        try {
+            yauzl.fromBuffer(Buffer.from(archiveBuffer), { lazyEntries: true }, (err, zipfile) => {
-        zipfile.readEntry();
+                if (err) {
-        zipfile.on('entry', (entry) => {
+                    console.warn(`Error opening ZIP file: ${err.message}`);
-            if (entry.fileName.endsWith(fileExtension) && !entry.fileName.startsWith('__MACOSX')) {
+                    return resolve(null);
-                console.info(`Extracting ${entry.fileName}`);
+                }
-                zipfile.openReadStream(entry, (err, readStream) => {
-                    if (err) {
+                zipfile.readEntry();
-                        reject(err);
-                    } else {
+                zipfile.on('entry', (entry) => {
-                        const chunks = [];
+                    if (entry.fileName.endsWith(fileExtension) && !entry.fileName.startsWith('__MACOSX')) {
-                        readStream.on('data', (chunk) => {
+                        console.info(`Extracting ${entry.fileName}`);
-                            chunks.push(chunk);
+                        zipfile.openReadStream(entry, (err, readStream) => {
-                        });
+                            if (err) {
+                                console.warn(`Error opening read stream: ${err.message}`);
+                                return zipfile.readEntry();
+                            } else {
+                                const chunks = [];
+                                readStream.on('data', (chunk) => {
+                                    chunks.push(chunk);
+                                });
+                                readStream.on('end', () => {
+                                    const buffer = Buffer.concat(chunks);
+                                    resolve(buffer);
+                                    zipfile.readEntry(); // Continue to the next entry
+                                });
-                        readStream.on('end', () => {
+                                readStream.on('error', (err) => {
-                            const buffer = Buffer.concat(chunks);
+                                    console.warn(`Error reading stream: ${err.message}`);
-                            resolve(buffer);
+                                    zipfile.readEntry();
-                            zipfile.readEntry(); // Continue to the next entry
+                                });
+                            }
                         });
+                    } else {
+                        zipfile.readEntry();
+                    }
                 });
-            } else {
-                zipfile.readEntry();
+                zipfile.on('error', (err) => {
-            }
+                    console.warn('ZIP processing error', err);
-        });
+                    resolve(null);
-        zipfile.on('end', () => resolve(null));
+                });
-    }));
+                zipfile.on('end', () => resolve(null));
+            });
+        } catch (error) {
+            console.warn('Failed to process ZIP buffer', error);
+            resolve(null);
+        }
+    });
+}
 /**

@@ -121,71 +131,84 @@ export async function getMultimodalCaption(base64Img, prompt) {
121	}	131	}
122		132
123	function throwIfInvalidModel(useReverseProxy) {	133	function throwIfInvalidModel(useReverseProxy) {
124	if (extension_settings.caption.multimodal_api === 'openai' && !secret_state[SECRET_KEYS.OPENAI] && !useReverseProxy) {	134	const altEndpointEnabled = extension_settings.caption.alt_endpoint_enabled;
		135	const altEndpointUrl = extension_settings.caption.alt_endpoint_url;
		136	const multimodalModel = extension_settings.caption.multimodal_model;
		137	const multimodalApi = extension_settings.caption.multimodal_api;
		138
		139	if (altEndpointEnabled && ['llamacpp', 'ooba', 'koboldcpp', 'vllm', 'ollama'].includes(multimodalApi) && !altEndpointUrl) {
		140	throw new Error('Secondary endpoint URL is not set.');
		141	}
		142
		143	if (multimodalApi === 'openai' && !secret_state[SECRET_KEYS.OPENAI] && !useReverseProxy) {
125	throw new Error('OpenAI API key is not set.');	144	throw new Error('OpenAI API key is not set.');
126	}	145	}
127		146
128	if (extension_settings.caption.multimodal_api === 'openrouter' && !secret_state[SECRET_KEYS.OPENROUTER]) {	147	if (multimodalApi === 'openrouter' && !secret_state[SECRET_KEYS.OPENROUTER]) {
129	throw new Error('OpenRouter API key is not set.');	148	throw new Error('OpenRouter API key is not set.');
130	}	149	}
131		150
132	if (extension_settings.caption.multimodal_api === 'anthropic' && !secret_state[SECRET_KEYS.CLAUDE] && !useReverseProxy) {	151	if (multimodalApi === 'anthropic' && !secret_state[SECRET_KEYS.CLAUDE] && !useReverseProxy) {
133	throw new Error('Anthropic (Claude) API key is not set.');	152	throw new Error('Anthropic (Claude) API key is not set.');
134	}	153	}
135		154
136	if (extension_settings.caption.multimodal_api === 'zerooneai' && !secret_state[SECRET_KEYS.ZEROONEAI]) {	155	if (multimodalApi === 'zerooneai' && !secret_state[SECRET_KEYS.ZEROONEAI]) {
137	throw new Error('01.AI API key is not set.');	156	throw new Error('01.AI API key is not set.');
138	}	157	}
139		158
140	if (extension_settings.caption.multimodal_api === 'groq' && !secret_state[SECRET_KEYS.GROQ]) {	159	if (multimodalApi === 'groq' && !secret_state[SECRET_KEYS.GROQ]) {
141	throw new Error('Groq API key is not set.');	160	throw new Error('Groq API key is not set.');
142	}	161	}
143		162
144	if (extension_settings.caption.multimodal_api === 'google' && !secret_state[SECRET_KEYS.MAKERSUITE] && !useReverseProxy) {	163	if (multimodalApi === 'google' && !secret_state[SECRET_KEYS.MAKERSUITE] && !useReverseProxy) {
145	throw new Error('Google AI Studio API key is not set.');	164	throw new Error('Google AI Studio API key is not set.');
146	}	165	}
147		166
148	if (extension_settings.caption.multimodal_api === 'mistral' && !secret_state[SECRET_KEYS.MISTRALAI] && !useReverseProxy) {	167	if (multimodalApi === 'vertexai' && !secret_state[SECRET_KEYS.VERTEXAI] && !useReverseProxy) {
		168	throw new Error('Google Vertex AI API key is not set.');
		169	}
		170
		171	if (multimodalApi === 'mistral' && !secret_state[SECRET_KEYS.MISTRALAI] && !useReverseProxy) {
149	throw new Error('Mistral AI API key is not set.');	172	throw new Error('Mistral AI API key is not set.');
150	}	173	}
151		174
152	if (extension_settings.caption.multimodal_api === 'cohere' && !secret_state[SECRET_KEYS.COHERE]) {	175	if (multimodalApi === 'cohere' && !secret_state[SECRET_KEYS.COHERE]) {
153	throw new Error('Cohere API key is not set.');	176	throw new Error('Cohere API key is not set.');
154	}	177	}
155		178
156	if (extension_settings.caption.multimodal_api === 'xai' && !secret_state[SECRET_KEYS.XAI]) {	179	if (multimodalApi === 'xai' && !secret_state[SECRET_KEYS.XAI] && !useReverseProxy) {
157	throw new Error('xAI API key is not set.');	180	throw new Error('xAI API key is not set.');
158	}	181	}
159		182
160	if (extension_settings.caption.multimodal_api === 'ollama' && !textgenerationwebui_settings.server_urls[textgen_types.OLLAMA]) {	183	if (multimodalApi === 'ollama' && !textgenerationwebui_settings.server_urls[textgen_types.OLLAMA] && !altEndpointEnabled) {
161	throw new Error('Ollama server URL is not set.');	184	throw new Error('Ollama server URL is not set.');
162	}	185	}
163		186
164	if (extension_settings.caption.multimodal_api === 'ollama' && extension_settings.caption.multimodal_model === 'ollama_current' && !textgenerationwebui_settings.ollama_model) {	187	if (multimodalApi === 'ollama' && multimodalModel === 'ollama_current' && !textgenerationwebui_settings.ollama_model) {
165	throw new Error('Ollama model is not set.');	188	throw new Error('Ollama model is not set.');
166	}	189	}
167		190
168	if (extension_settings.caption.multimodal_api === 'llamacpp' && !textgenerationwebui_settings.server_urls[textgen_types.LLAMACPP]) {	191	if (multimodalApi === 'llamacpp' && !textgenerationwebui_settings.server_urls[textgen_types.LLAMACPP] && !altEndpointEnabled) {
169	throw new Error('LlamaCPP server URL is not set.');	192	throw new Error('LlamaCPP server URL is not set.');
170	}	193	}
171		194
172	if (extension_settings.caption.multimodal_api === 'ooba' && !textgenerationwebui_settings.server_urls[textgen_types.OOBA]) {	195	if (multimodalApi === 'ooba' && !textgenerationwebui_settings.server_urls[textgen_types.OOBA] && !altEndpointEnabled) {
173	throw new Error('Text Generation WebUI server URL is not set.');	196	throw new Error('Text Generation WebUI server URL is not set.');
174	}	197	}
175		198
176	if (extension_settings.caption.multimodal_api === 'koboldcpp' && !textgenerationwebui_settings.server_urls[textgen_types.KOBOLDCPP]) {	199	if (multimodalApi === 'koboldcpp' && !textgenerationwebui_settings.server_urls[textgen_types.KOBOLDCPP] && !altEndpointEnabled) {
177	throw new Error('KoboldCpp server URL is not set.');	200	throw new Error('KoboldCpp server URL is not set.');
178	}	201	}
179		202
180	if (extension_settings.caption.multimodal_api === 'vllm' && !textgenerationwebui_settings.server_urls[textgen_types.VLLM]) {	203	if (multimodalApi === 'vllm' && !textgenerationwebui_settings.server_urls[textgen_types.VLLM] && !altEndpointEnabled) {
181	throw new Error('vLLM server URL is not set.');	204	throw new Error('vLLM server URL is not set.');
182	}	205	}
183		206
184	if (extension_settings.caption.multimodal_api === 'vllm' && extension_settings.caption.multimodal_model === 'vllm_current' && !textgenerationwebui_settings.vllm_model) {	207	if (multimodalApi === 'vllm' && multimodalModel === 'vllm_current' && !textgenerationwebui_settings.vllm_model) {
185	throw new Error('vLLM model is not set.');	208	throw new Error('vLLM model is not set.');
186	}	209	}
187		210
188	if (extension_settings.caption.multimodal_api === 'custom' && !oai_settings.custom_url) {	211	if (multimodalApi === 'custom' && !oai_settings.custom_url) {
189	throw new Error('Custom API URL is not set.');	212	throw new Error('Custom API URL is not set.');
190	}	213	}
191	}	214	}

Merge branch 'staging' into regex