add logging
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@@ -776,9 +776,9 @@ export async function sendChat(chatProcessIndex = -1,arg:{
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chats = hn.chats
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currentTokens = hn.tokens
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}
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else if(DBState.db.hypav2){ //HypaV2 support needs to be changed like this.
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else if(DBState.db.hypav2){
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console.log("Current chat's hypaV2 Data: ", currentChat.hypaV2Data)
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const sp = await hypaMemoryV2(chats, currentTokens, maxContextTokens, currentChat, nowChatroom, tokenizer)
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console.log("All chats: ", chats)
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if(sp.error){
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console.log(sp)
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alertError(sp.error)
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@@ -788,7 +788,7 @@ export async function sendChat(chatProcessIndex = -1,arg:{
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currentTokens = sp.currentTokens
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currentChat.hypaV2Data = sp.memory ?? currentChat.hypaV2Data
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DBState.db.characters[selectedChar].chats[selectedChat].hypaV2Data = currentChat.hypaV2Data
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console.log(currentChat.hypaV2Data)
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console.log("Current chat's HypaV2Data: ", currentChat.hypaV2Data)
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}
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else{
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const sp = await supaMemory(chats, currentTokens, maxContextTokens, currentChat, nowChatroom, tokenizer, {
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@@ -226,11 +226,14 @@ export async function hypaMemoryV2(
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}
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// Starting chat index of new mainChunk to be generated
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// Token management loop(where using of )
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// Token management loop(If current token exceeds allowed amount...)
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while (currentTokens >= maxContextTokens) {
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console.log("The current Token exceeded maxContextTokens. Current tokens: ", currentTokens, "\nMax Context Tokens: ", maxContextTokens)
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const halfData: OpenAIChat[] = [];
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let halfDataTokens = 0;
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const startIdx = idx;
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// Accumulate chats to summarize
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while (
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halfDataTokens < chunkSize &&
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@@ -241,7 +244,8 @@ export async function hypaMemoryV2(
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halfDataTokens += await tokenizer.tokenizeChat(chat);
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halfData.push(chat);
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}
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const endIdx = idx - 1;
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console.log(`Summarizing chats from index ${startIdx} to ${endIdx}.`);
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if (halfData.length === 0) break;
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const stringlizedChat = halfData
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