Add igp prompt

src/lang/en.ts

@@ -241,6 +241,7 @@ export const languageEnglish = {
         finallyOption1Desc: "This will enable advanced tools, but it will make the UI more complex. Recommended for advanced users.",
         finallyOption2: "No",
         finallyOption2Desc: "This will disable advanced tools, and make the UI more simple. Recommended for new users.",
+        igpPrompt: "if IGP Prompt is not a blank, it will be executed after the main model request, after main model execution, as a emotion model, adding the result after the main model response."
     },
     triggerDesc: {
         v2Header: "Header",
@@ -1113,4 +1114,5 @@ export const languageEnglish = {
     fallbackWhenBlankResponse: "Fallback When Blank Response",
     doNotChangeFallbackModels: "Do Not Change Fallback Models on Preset Change",
     customModels: "Custom Models",
+    igpPrompt: "IGP Prompt"
 }

src/ts/model/modellist.ts

@@ -988,7 +988,7 @@ export const LLMModels: LLMModel[] = [
         id: 'gemini-2.5-pro-exp-03-25',
         provider: LLMProvider.GoogleCloud,
         format: LLMFormat.GoogleCloud,
-        flags: [LLMFlags.geminiBlockOff,LLMFlags.hasImageInput, LLMFlags.hasImageOutput, LLMFlags.poolSupported, LLMFlags.hasAudioInput, LLMFlags.hasVideoInput,  LLMFlags.hasStreaming, LLMFlags.requiresAlternateRole],
+        flags: [LLMFlags.geminiBlockOff,LLMFlags.hasImageInput, LLMFlags.poolSupported, LLMFlags.hasAudioInput, LLMFlags.hasVideoInput,  LLMFlags.hasStreaming, LLMFlags.requiresAlternateRole, LLMFlags.geminiThinking],
         parameters: ['temperature', 'top_k', 'top_p', 'presence_penalty', 'frequency_penalty'],
         tokenizer: LLMTokenizer.GoogleCloud,
         recommended: true

src/ts/process/index.svelte.ts

@@ -27,7 +27,7 @@ import { runImageEmbedding } from "./transformers";
 import { hanuraiMemory } from "./memory/hanuraiMemory";
 import { hypaMemoryV2 } from "./memory/hypav2";
 import { runLuaEditTrigger } from "./lua";
-import { parseChatML } from "../parser.svelte";
+import { getGlobalChatVar, parseChatML } from "../parser.svelte";
 import { getModelInfo, LLMFlags } from "../model/modellist";
 import { hypaMemoryV3 } from "./memory/hypav3";
 import { getModuleAssets } from "./modules";
@@ -1494,6 +1494,18 @@ export async function sendChat(chatProcessIndex = -1,arg:{
         })
     }
 
+    const igp = risuChatParser(DBState.db.igpPrompt ?? "")
+
+    if(igp){
+        const igpFormated = parseChatML(igp)
+        const rq = await requestChatData({
+            formated: igpFormated,
+            bias: {}
+        },'emotion', abortSignal)
+
+        DBState.db.characters[selectedChar].chats[selectedChat].message[DBState.db.characters[selectedChar].chats[selectedChat].message.length - 1].data += rq
+    }
+
     if(resendChat){
         doingChat.set(false)
         return await sendChat(chatProcessIndex, {

src/ts/storage/database.svelte.ts

@@ -980,6 +980,7 @@ export interface Database{
         params: string
         flags: LLMFlags[]
     }[]
+    igpPrompt:string
 }
 
 interface SeparateParameters{