HypaV2 context deletion safety (#680)

# PR Checklist
- [x] Did you check if it works normally in all models? *ignore this
when it dosen't uses models*
- [] Did you check if it works normally in all of web, local and node
hosted versions? if it dosen't, did you blocked it in those versions? <<
Checked on browser only, works fine
- [x] Did you added a type def?

# Description
HypaV2 data's large type definition update.
```ts
    mainChunks: { // summary itself
        id: number;
        text: string;
        chatMemos: Set<string>; // UUIDs of summarized chats
        lastChatMemo: string;
    }[];
    chunks: { // split mainChunks for retrieval or something. Although quite uncomfortable logic, so maybe I will delete it soon.
        mainChunkID: number;
        text:string;
    }[];
```
With this, ensure that mainChunks is relevant on chat context change by
deletion

If there is no UUID in the chat context, but it exists on chatMemos on
certain mainChunk, removes it.

Changed index.svelte.ts to update args on each call to ensure hypav2 to
stay adaptive on this change without refreshing the page

Also changed mainChunks to be pushed instead of unshifted

src/ts/tokenizer.ts

@@ -283,15 +283,15 @@ export async function tokenizeAccurate(data:string, consistantChar?:boolean) {
 
 export class ChatTokenizer {
 
-    private chatAdditonalTokens:number
+    private chatAdditionalTokens:number
     private useName:'name'|'noName'
 
-    constructor(chatAdditonalTokens:number, useName:'name'|'noName'){
-        this.chatAdditonalTokens = chatAdditonalTokens
+    constructor(chatAdditionalTokens:number, useName:'name'|'noName'){
+        this.chatAdditionalTokens = chatAdditionalTokens
         this.useName = useName
     }
     async tokenizeChat(data:OpenAIChat) {
-        let encoded = (await encode(data.content)).length + this.chatAdditonalTokens
+        let encoded = (await encode(data.content)).length + this.chatAdditionalTokens
         if(data.name && this.useName ==='name'){
             encoded += (await encode(data.name)).length + 1
         }
@@ -302,17 +302,24 @@ export class ChatTokenizer {
         }
         return encoded
     }
+    async tokenizeChats(data:OpenAIChat[]){
+        let encoded = 0
+        for(const chat of data){
+            encoded += await this.tokenizeChat(chat)
+        }
+        return encoded
+    }
 
     async tokenizeMultiModal(data:MultiModal){
         const db = getDatabase()
         if(!supportsInlayImage()){
-            return this.chatAdditonalTokens
+            return this.chatAdditionalTokens
         }
         if(db.gptVisionQuality === 'low'){
             return 87
         }
 
-        let encoded = this.chatAdditonalTokens
+        let encoded = this.chatAdditionalTokens
         let height = data.height ?? 0
         let width = data.width ?? 0