Add thoughts

src/ts/model/modellist.ts

@@ -16,7 +16,7 @@ export enum LLMFlags{
     poolSupported,
     hasVideoInput,
     OAICompletionTokens,
-    DeveloperRole
+    DeveloperRole,
 }
 
 export enum LLMProvider{
@@ -809,6 +809,16 @@ export const LLMModels: LLMModel[] = [
         tokenizer: LLMTokenizer.GoogleCloud,
         recommended: true
     },
+    {
+        name: "Gemini Flash 2.0 Thinking 1219",
+        id: 'gemini-2.0-flash-thinking-exp-1219',
+        provider: LLMProvider.GoogleCloud,
+        format: LLMFormat.GoogleCloud,
+        flags: [LLMFlags.hasImageInput, LLMFlags.hasFirstSystemPrompt, LLMFlags.poolSupported, LLMFlags.hasAudioInput, LLMFlags.hasVideoInput,  LLMFlags.hasStreaming],
+        parameters: ['temperature', 'top_k', 'top_p', 'presence_penalty', 'frequency_penalty'],
+        tokenizer: LLMTokenizer.GoogleCloud,
+        recommended: true
+    },
     {
         name: "Gemini Pro 1.5",
         id: 'gemini-1.5-pro-latest',

src/ts/parser.svelte.ts

@@ -14,6 +14,7 @@ import { getModuleAssets, getModuleLorebooks } from './process/modules';
 import type { OpenAIChat } from './process/index.svelte';
 import hljs from 'highlight.js/lib/core'
 import 'highlight.js/styles/atom-one-dark.min.css'
+import { language } from 'src/lang';
 
 const markdownItOptions = {
     html: true,
@@ -495,6 +496,11 @@ export interface simpleCharacterArgument{
     triggerscript?: triggerscript[]
 }
 
+function parseThoughts(data:string){
+    return data.replace(/<Thoughts>(.+)<\/Thoughts>/gms, (full, txt) => {
+        return `<details><summary>${language.cot}</summary>${txt}</details>`
+    })
+}
 
 export async function ParseMarkdown(
     data:string,
@@ -506,18 +512,24 @@ export async function ParseMarkdown(
     let firstParsed = ''
     const additionalAssetMode = (mode === 'back') ? 'back' : 'normal'
     let char = (typeof(charArg) === 'string') ? (findCharacterbyId(charArg)) : (charArg)
+
     if(char && char.type !== 'group'){
         data = await parseAdditionalAssets(data, char, additionalAssetMode, 'pre')
         firstParsed = data
     }
+
     if(char){
         data = (await processScriptFull(char, data, 'editdisplay', chatID, cbsConditions)).data
     }
+
     if(firstParsed !== data && char && char.type !== 'group'){
         data = await parseAdditionalAssets(data, char, additionalAssetMode, 'post')
     }
+
     data = await parseInlayAssets(data ?? '')
 
+    data = parseThoughts(data)
+
     data = encodeStyle(data)
     if(mode === 'normal'){
         data = await renderHighlightableMarkdown(data)

src/ts/process/index.svelte.ts

@@ -752,12 +752,7 @@ export async function sendChat(chatProcessIndex = -1,arg:{
                     break
             }
         }
-        if(usingPromptTemplate && DBState.db.promptSettings.maxThoughtTagDepth !== -1){
+        formatedChat = formatedChat.replace(/<Thoughts>(.+?)<\/Thoughts>/gm, '')
-            const depth = ms.length - index
-            if(depth >= DBState.db.promptSettings.maxThoughtTagDepth){
-                formatedChat = formatedChat.replace(/<Thoughts>(.+?)<\/Thoughts>/gm, '')
-            }
-        }
 
         const chat:OpenAIChat = {
             role: role,

src/ts/process/request.ts

@@ -1665,8 +1665,28 @@ async function requestGoogleCloudVertex(arg:RequestDataArgumentExtended):Promise
                     const data = JSON.parse(reformatted)
 
                     let r = ''
+                    let r2 = ''
+                    let bump = false
                     for(const d of data){
-                        r += d.candidates[0].content.parts[0].text
+                        const parts = d.candidates[0].content?.parts
+                        for(let i=0;i<parts.length;i++){
+                            const part = parts[i]
+                            if(i === 1){
+                                bump = true
+                            }
+
+                            if(!bump){
+                                r += part.text
+                            }
+                            else{
+                                r2 += part.text
+                            }
+                        }
+                    }
+
+                    console.log(data)
+                    if(r2){
+                        r = `<Thoughts>${r}</Thoughts>\n\n${r2}`
                     }
                     control.enqueue({
                         '0': r
@@ -1697,11 +1717,14 @@ async function requestGoogleCloudVertex(arg:RequestDataArgumentExtended):Promise
         }
     }
 
-    let fullRes = ''
+    let r = ''
-
+    let r2 = ''
     const processDataItem = (data:any) => {
         if(data?.candidates?.[0]?.content?.parts?.[0]?.text){
-            fullRes += data.candidates[0].content.parts[0].text
+            r += data.candidates[0].content.parts[0].text
+        }
+        if(data?.candidates?.[0]?.content?.parts?.[1]?.text){
+            r2 += data.candidates[0].content.parts[1].text
         }
         else if(data?.errors){
             return {
@@ -1726,9 +1749,14 @@ async function requestGoogleCloudVertex(arg:RequestDataArgumentExtended):Promise
         processDataItem(res.data)
     }
 
+    
+    if(r2){
+        r = `<Thoughts>${r}</Thoughts>\n\n${r2}`
+    }
+
     return {
         type: 'success',
-        result: fullRes
+        result: r
     }
 }