OAI token itemization WIP (integrate PR299)

public/index.html

@@ -2431,7 +2431,7 @@
                 <textarea id="send_textarea" placeholder="Not connected to API!" name="text"></textarea>
                 <div id="send_but_sheld">
                     <div id="loading_mes">
-                        <div alt="" class="fa-solid fa-hourglass-half"></div>
+                        <div title="Loading" class="fa-solid fa-hourglass-half"></div>
                     </div>
                     <div id="send_but" class="fa-solid fa-feather-pointed" title="Send a message"></div>
                 </div>

public/script.js

@@ -125,6 +125,7 @@ import {
     secret_state,
     writeSecret
 } from "./scripts/secrets.js";
+import uniqolor from "./scripts/uniqolor.js";
 
 //exporting functions and vars for mods
 export {
@@ -204,6 +205,7 @@ let converter;
 reloadMarkdownProcessor();
 
 // array for prompt token calculations
+console.log('initializing Prompt Itemization Array on Startup');
 let itemizedPrompts = [];
 
 /* let bg_menu_toggle = false; */
@@ -1129,28 +1131,34 @@ function addOneMessage(mes, { type = "normal", insertAfter = null, scroll = true
 
     if (isSystem) {
         newMessage.find(".mes_edit").hide();
-        newMessage.find(".mes_prompt").hide(); //dont'd need prompt display for sys messages
+        newMessage.find(".mes_prompt").hide(); //don't need prompt button for sys
     }
 
-    // don't need prompt butons for user messages
+    // don't need prompt button for user
     if (params.isUser === true) {
         newMessage.find(".mes_prompt").hide();
+        console.log(`hiding prompt for user mesID ${params.mesId}`);
     }
 
     //shows or hides the Prompt display button
     let mesIdToFind = Number(newMessage.attr('mesId'));
     if (itemizedPrompts.length !== 0) {
+        console.log(`itemizedPrompt.length = ${itemizedPrompts.length}`)
         for (var i = 0; i < itemizedPrompts.length; i++) {
             if (itemizedPrompts[i].mesId === mesIdToFind) {
                 newMessage.find(".mes_prompt").show();
+                console.log(`showing prompt for mesID ${params.mesId} from ${params.characterName}`);
             } else {
-                console.log('no cache found for mesID, hiding prompt button and continuing search');
+                console.log(`no cache obj for mesID ${mesIdToFind}, hiding prompt button and continuing search`);
                 newMessage.find(".mes_prompt").hide();
+                console.log(itemizedPrompts);
             }
         }
-    } else { //hide all when prompt cache is empty
+    } else if (params.isUser !== true) { //hide all when prompt cache is empty
+        console.log('saw empty prompt cache, hiding all prompt buttons');
         $(".mes_prompt").hide();
-    }
+        console.log(itemizedPrompts);
+    } else { console.log('skipping prompt data for User Message'); }
 
     newMessage.find('.avatar img').on('error', function () {
         $(this).hide();
@@ -1594,6 +1602,7 @@ async function Generate(type, { automatic_trigger, force_name2, resolve, reject,
     const isImpersonate = type == "impersonate";
     const isInstruct = power_user.instruct.enabled;
 
+    message_already_generated = isImpersonate ? `${name1}: ` : `${name2}: `;
     // Name for the multigen prefix
     const magName = isImpersonate ? (is_pygmalion ? 'You' : name1) : name2;
 
@@ -2123,32 +2132,7 @@ async function Generate(type, { automatic_trigger, force_name2, resolve, reject,
                 generatedPromtCache +
                 promptBias;
 
-            //set array object for prompt token itemization of this message
-            let thisPromptBits = {
-                mesId: count_view_mes,
-                worldInfoBefore: worldInfoBefore,
-                allAnchors: allAnchors,
-                summarizeString: (extension_prompts['1_memory']?.value || ''),
-                authorsNoteString: (extension_prompts['2_floating_prompt']?.value || ''),
-                worldInfoString: worldInfoString,
-                storyString: storyString,
-                worldInfoAfter: worldInfoAfter,
-                afterScenarioAnchor: afterScenarioAnchor,
-                examplesString: examplesString,
-                mesSendString: mesSendString,
-                generatedPromtCache: generatedPromtCache,
-                promptBias: promptBias,
-                finalPromt: finalPromt,
-                charDescription: charDescription,
-                charPersonality: charPersonality,
-                scenarioText: scenarioText,
-                promptBias: promptBias,
-                storyString: storyString,
-                this_max_context: this_max_context,
-                padding: power_user.token_padding
-            }
 
-            itemizedPrompts.push(thisPromptBits);
 
             if (zeroDepthAnchor && zeroDepthAnchor.length) {
                 if (!isMultigenEnabled() || tokens_already_generated == 0) {
@@ -2167,6 +2151,11 @@ async function Generate(type, { automatic_trigger, force_name2, resolve, reject,
                 }
             }
 
+            // Add quiet generation prompt at depth 0
+            if (quiet_prompt && quiet_prompt.length) {
+                finalPromt += `\n${quiet_prompt}`;
+            }
+
             finalPromt = finalPromt.replace(/\r/gm, '');
 
             if (power_user.collapse_newlines) {
@@ -2202,6 +2191,8 @@ async function Generate(type, { automatic_trigger, force_name2, resolve, reject,
                 }
             }
 
+            let thisPromptBits = [];
+
             if (main_api == 'kobold' && horde_settings.use_horde && horde_settings.auto_adjust_response_length) {
                 this_amount_gen = Math.min(this_amount_gen, adjustedParams.maxLength);
                 this_amount_gen = Math.max(this_amount_gen, MIN_AMOUNT_GEN); // prevent validation errors
@@ -2237,7 +2228,50 @@ async function Generate(type, { automatic_trigger, force_name2, resolve, reject,
             console.log('rungenerate calling API');
 
             if (main_api == 'openai') {
-                let prompt = await prepareOpenAIMessages(name2, storyString, worldInfoBefore, worldInfoAfter, afterScenarioAnchor, promptBias, type);
+                let [prompt, counts] = await prepareOpenAIMessages(name2, storyString, worldInfoBefore, worldInfoAfter, afterScenarioAnchor, promptBias, type);
+
+
+                // counts will return false if the user has not enabled the token breakdown feature
+                if (counts) {
+
+                    //$('#token_breakdown').css('display', 'flex');
+                    const breakdown_bar = $('#token_breakdown div:first-child');
+                    breakdown_bar.empty();
+
+                    const total = Object.values(counts).reduce((acc, val) => acc + val, 0);
+
+                    thisPromptBits.push({
+                        oaiStartTokens: Object.entries(counts)[0][1],
+                        oaiPromptTokens: Object.entries(counts)[1][1],
+                        oaiBiasTokens: Object.entries(counts)[2][1],
+                        oaiNudgeTokens: Object.entries(counts)[3][1],
+                        oaiJailbreakTokens: Object.entries(counts)[4][1],
+                        oaiImpersonateTokens: Object.entries(counts)[5][1],
+                        oaiExamplesTokens: Object.entries(counts)[6][1],
+                        oaiConversationTokens: Object.entries(counts)[7][1],
+                        oaiTotalTokens: total,
+                    })
+
+
+                    console.log(`added OAI prompt bits to array`);
+
+                    Object.entries(counts).forEach(([type, value]) => {
+                        if (value === 0) {
+                            return;
+                        }
+                        const percent_value = (value / total) * 100;
+                        const color = uniqolor(type, { saturation: 50, lightness: 75, }).color;
+                        const bar = document.createElement('div');
+                        bar.style.width = `${percent_value}%`;
+                        bar.classList.add('token_breakdown_segment');
+                        bar.style.backgroundColor = color + 'AA';
+                        bar.style.borderColor = color + 'FF';
+                        bar.innerText = value;
+                        bar.title = `${type}: ${percent_value.toFixed(2)}%`;
+                        breakdown_bar.append(bar);
+                    });
+                }
+
                 setInContextMessages(openai_messages_count, type);
 
                 if (isStreamingEnabled() && type !== 'quiet') {
@@ -2277,6 +2311,41 @@ async function Generate(type, { automatic_trigger, force_name2, resolve, reject,
                 }); //end of "if not data error"
             }
 
+            //set array object for prompt token itemization of this message
+            let currentArrayEntry = Number(thisPromptBits.length - 1);
+            let additionalPromptStuff = {
+                ...thisPromptBits[currentArrayEntry],
+                mesId: Number(count_view_mes),
+                worldInfoBefore: worldInfoBefore,
+                allAnchors: allAnchors,
+                summarizeString: (extension_prompts['1_memory']?.value || ''),
+                authorsNoteString: (extension_prompts['2_floating_prompt']?.value || ''),
+                worldInfoString: worldInfoString,
+                storyString: storyString,
+                worldInfoAfter: worldInfoAfter,
+                afterScenarioAnchor: afterScenarioAnchor,
+                examplesString: examplesString,
+                mesSendString: mesSendString,
+                generatedPromtCache: generatedPromtCache,
+                promptBias: promptBias,
+                finalPromt: finalPromt,
+                charDescription: charDescription,
+                charPersonality: charPersonality,
+                scenarioText: scenarioText,
+                this_max_context: this_max_context,
+                padding: power_user.token_padding,
+                main_api: main_api,
+            };
+
+            thisPromptBits = additionalPromptStuff;
+
+            //console.log(thisPromptBits);
+
+            itemizedPrompts.push(thisPromptBits);
+            //console.log(`pushed prompt bits to itemizedPrompts array. Length is now: ${itemizedPrompts.length}`);
+
+
+
             if (isStreamingEnabled() && type !== 'quiet') {
                 hideSwipeButtons();
                 let getMessage = await streamingProcessor.generate();
@@ -2285,7 +2354,7 @@ async function Generate(type, { automatic_trigger, force_name2, resolve, reject,
                 // I wasn't able to get multigen working with real streaming
                 // consistently without screwing the interim prompting
                 if (isMultigenEnabled()) {
-                    tokens_already_generated += this_amount_gen;
+                    tokens_already_generated += this_amount_gen;    // add new gen amt to any prev gen counter..
                     message_already_generated += getMessage;
                     promptBias = '';
                     if (!streamingProcessor.isStopped && shouldContinueMultigen(getMessage, isImpersonate)) {
@@ -2432,8 +2501,9 @@ async function Generate(type, { automatic_trigger, force_name2, resolve, reject,
 } //generate ends
 
 function promptItemize(itemizedPrompts, requestedMesId) {
-    let incomingMesId = Number(requestedMesId);
+    var incomingMesId = Number(requestedMesId);
-    let thisPromptSet = undefined;
+    console.log(`looking for MesId ${incomingMesId}`);
+    var thisPromptSet = undefined;
 
     for (var i = 0; i < itemizedPrompts.length; i++) {
         if (itemizedPrompts[i].mesId === incomingMesId) {
@@ -2447,44 +2517,183 @@ function promptItemize(itemizedPrompts, requestedMesId) {
         return null;
     }
 
-    let finalPromptTokens = getTokenCount(itemizedPrompts[thisPromptSet].finalPromt);
+    //these happen regardless of API
-    let allAnchorsTokens = getTokenCount(itemizedPrompts[thisPromptSet].allAnchors);
+    var charPersonalityTokens = getTokenCount(itemizedPrompts[thisPromptSet].charPersonality);
-    let summarizeStringTokens = getTokenCount(itemizedPrompts[thisPromptSet].summarizeString);
+    var charDescriptionTokens = getTokenCount(itemizedPrompts[thisPromptSet].charDescription);
-    let authorsNoteStringTokens = getTokenCount(itemizedPrompts[thisPromptSet].authorsNoteString);
+    var scenarioTextTokens = getTokenCount(itemizedPrompts[thisPromptSet].scenarioText);
-    let afterScenarioAnchorTokens = getTokenCount(itemizedPrompts[thisPromptSet].afterScenarioAnchor);
+    var allAnchorsTokens = getTokenCount(itemizedPrompts[thisPromptSet].allAnchors);
-    let zeroDepthAnchorTokens = getTokenCount(itemizedPrompts[thisPromptSet].afterScenarioAnchor);
+    var summarizeStringTokens = getTokenCount(itemizedPrompts[thisPromptSet].summarizeString);
-    let worldInfoStringTokens = getTokenCount(itemizedPrompts[thisPromptSet].worldInfoString);
+    var authorsNoteStringTokens = getTokenCount(itemizedPrompts[thisPromptSet].authorsNoteString);
-    let storyStringTokens = getTokenCount(itemizedPrompts[thisPromptSet].storyString);
+    var afterScenarioAnchorTokens = getTokenCount(itemizedPrompts[thisPromptSet].afterScenarioAnchor);
-    let examplesStringTokens = getTokenCount(itemizedPrompts[thisPromptSet].examplesString);
+    var zeroDepthAnchorTokens = getTokenCount(itemizedPrompts[thisPromptSet].afterScenarioAnchor);
-    let charPersonalityTokens = getTokenCount(itemizedPrompts[thisPromptSet].charPersonality);
+    var worldInfoStringTokens = getTokenCount(itemizedPrompts[thisPromptSet].worldInfoString);
-    let charDescriptionTokens = getTokenCount(itemizedPrompts[thisPromptSet].charDescription);
+    var thisPrompt_max_context = itemizedPrompts[thisPromptSet].this_max_context;
-    let scenarioTextTokens = getTokenCount(itemizedPrompts[thisPromptSet].scenarioText);
+    var thisPrompt_padding = itemizedPrompts[thisPromptSet].padding;
-    let promptBiasTokens = getTokenCount(itemizedPrompts[thisPromptSet].promptBias);
+    console.log(`"${itemizedPrompts[thisPromptSet].promptBias}"`);
-    let mesSendStringTokens = getTokenCount(itemizedPrompts[thisPromptSet].mesSendString)
+    var promptBiasTokens = getTokenCount(itemizedPrompts[thisPromptSet].promptBias);
-    let ActualChatHistoryTokens = mesSendStringTokens - allAnchorsTokens + power_user.token_padding;
+    var this_main_api = itemizedPrompts[thisPromptSet].main_api;
-    let thisPrompt_max_context = itemizedPrompts[thisPromptSet].this_max_context;
-    let thisPrompt_padding = itemizedPrompts[thisPromptSet].padding;
 
-    let totalTokensInPrompt =
+    if (this_main_api == 'openai') {
-        storyStringTokens +     //chardefs total
+        //for OAI API
-        worldInfoStringTokens +
+        //console.log('-- Counting OAI Tokens');
-        ActualChatHistoryTokens +  //chat history
+        var finalPromptTokens = itemizedPrompts[thisPromptSet].oaiTotalTokens;
-        allAnchorsTokens +      // AN and/or legacy anchors
+        var oaiStartTokens = itemizedPrompts[thisPromptSet].oaiStartTokens;
-        //afterScenarioAnchorTokens +       //only counts if AN is set to 'after scenario'
+        var oaiPromptTokens = itemizedPrompts[thisPromptSet].oaiPromptTokens;
-        //zeroDepthAnchorTokens +           //same as above, even if AN not on 0 depth
+        var ActualChatHistoryTokens = itemizedPrompts[thisPromptSet].oaiConversationTokens;
-        promptBiasTokens +      //{{}}
+        var examplesStringTokens = itemizedPrompts[thisPromptSet].oaiExamplesTokens;
-        - thisPrompt_padding;  //not sure this way of calculating is correct, but the math results in same value as 'finalPromt'
+        var oaiBiasTokens = itemizedPrompts[thisPromptSet].oaiBiasTokens;
+        var oaiJailbreakTokens = itemizedPrompts[thisPromptSet].oaiJailbreakTokens;
+        var oaiStartTokens = itemizedPrompts[thisPromptSet].oaiStartTokens;
+        var oaiNudgeTokens = itemizedPrompts[thisPromptSet].oaiNudgeTokens;
+        var oaiImpersonateTokens = itemizedPrompts[thisPromptSet].oaiImpersonateTokens;
 
-    let storyStringTokensPercentage = ((storyStringTokens / (totalTokensInPrompt + thisPrompt_padding)) * 100).toFixed(2);
+
-    let ActualChatHistoryTokensPercentage = ((ActualChatHistoryTokens / (totalTokensInPrompt + thisPrompt_padding)) * 100).toFixed(2);
+    } else {
-    let promptBiasTokensPercentage = ((promptBiasTokens / (totalTokensInPrompt + thisPrompt_padding)) * 100).toFixed(2);
+        //for non-OAI APIs
-    let worldInfoStringTokensPercentage = ((worldInfoStringTokens / (totalTokensInPrompt + thisPrompt_padding)) * 100).toFixed(2);
+        //console.log('-- Counting non-OAI Tokens');
-    let allAnchorsTokensPercentage = ((allAnchorsTokens / (totalTokensInPrompt + thisPrompt_padding)) * 100).toFixed(2);
+        var finalPromptTokens = getTokenCount(itemizedPrompts[thisPromptSet].finalPromt);
-    let selectedTokenizer = $("#tokenizer").find(':selected').text();
+        var storyStringTokens = getTokenCount(itemizedPrompts[thisPromptSet].storyString);
-    callPopup(
+        var examplesStringTokens = getTokenCount(itemizedPrompts[thisPromptSet].examplesString);
-        `
+        var mesSendStringTokens = getTokenCount(itemizedPrompts[thisPromptSet].mesSendString)
+        var ActualChatHistoryTokens = mesSendStringTokens - allAnchorsTokens + power_user.token_padding;
+
+        var totalTokensInPrompt =
+            storyStringTokens +     //chardefs total
+            worldInfoStringTokens +
+            ActualChatHistoryTokens +  //chat history
+            allAnchorsTokens +      // AN and/or legacy anchors
+            //afterScenarioAnchorTokens +       //only counts if AN is set to 'after scenario'
+            //zeroDepthAnchorTokens +           //same as above, even if AN not on 0 depth
+            promptBiasTokens;       //{{}}
+        //- thisPrompt_padding;  //not sure this way of calculating is correct, but the math results in same value as 'finalPromt'
+    }
+
+    if (this_main_api == 'openai') {
+        //console.log('-- applying % on OAI tokens');
+        var oaiStartTokensPercentage = ((oaiStartTokens / (finalPromptTokens)) * 100).toFixed(2);
+        var storyStringTokensPercentage = ((oaiPromptTokens / (finalPromptTokens)) * 100).toFixed(2);
+        var ActualChatHistoryTokensPercentage = ((ActualChatHistoryTokens / (finalPromptTokens)) * 100).toFixed(2);
+        var promptBiasTokensPercentage = ((oaiBiasTokens / (finalPromptTokens)) * 100).toFixed(2);
+        var worldInfoStringTokensPercentage = ((worldInfoStringTokens / (finalPromptTokens)) * 100).toFixed(2);
+        var allAnchorsTokensPercentage = ((allAnchorsTokens / (finalPromptTokens)) * 100).toFixed(2);
+        var selectedTokenizer = $("#tokenizer").find(':selected').text();
+
+    } else {
+        //console.log('-- applying % on non-OAI tokens');
+        var storyStringTokensPercentage = ((storyStringTokens / (totalTokensInPrompt)) * 100).toFixed(2);
+        var ActualChatHistoryTokensPercentage = ((ActualChatHistoryTokens / (totalTokensInPrompt)) * 100).toFixed(2);
+        var promptBiasTokensPercentage = ((promptBiasTokens / (totalTokensInPrompt)) * 100).toFixed(2);
+        var worldInfoStringTokensPercentage = ((worldInfoStringTokens / (totalTokensInPrompt)) * 100).toFixed(2);
+        var allAnchorsTokensPercentage = ((allAnchorsTokens / (totalTokensInPrompt)) * 100).toFixed(2);
+        var selectedTokenizer = $("#tokenizer").find(':selected').text();
+    }
+
+    if (this_main_api == 'openai') {
+        //console.log('-- calling popup for OAI tokens');
+        callPopup(
+            `
         <h3>Prompt Itemization</h3>
         Tokenizer: ${selectedTokenizer}<br>
+        API Used: ${this_main_api}<br>
+        <span class="tokenItemizingSubclass">
+            Only the white numbers really matter. All numbers are estimates.
+            Grey color items may not have been included in the context due to certain prompt format settings.
+        </span>
+        <hr class="sysHR">
+        <div class="justifyLeft">
+            <div class="flex-container">
+                <div class="flex-container flex1 flexFlowColumns flexNoGap wide50p tokenGraph">
+                <div class="wide100p" style="background-color: grey; height: ${oaiStartTokensPercentage}%;"></div>
+                    <div class="wide100p" style="background-color: indianred; height: ${storyStringTokensPercentage}%;"></div>
+                    <div class="wide100p" style="background-color: gold; height: ${worldInfoStringTokensPercentage}%;"></div>
+                    <div class="wide100p" style="background-color: palegreen; height: ${ActualChatHistoryTokensPercentage}%;"></div>
+                    <div class="wide100p" style="background-color: cornflowerblue; height: ${allAnchorsTokensPercentage}%;"></div>
+                    <div class="wide100p" style="background-color: mediumpurple; height: ${promptBiasTokensPercentage}%;"></div>
+                </div>
+                <div class="flex-container wide50p">
+                    <div class="wide100p flex-container flexNoGap flexFlowColumn">
+                        <div class="flex-container wide100p">
+                            <div class="flex1" style="color: grey;">Chat Startup:</div>
+                            <div  class=""> ${oaiStartTokens}</div>
+                        </div>
+                    </div>
+                    <div class="wide100p flex-container flexNoGap flexFlowColumn">
+                        <div class="flex-container wide100p">
+                            <div class="flex1" style="color: indianred;">Prompt Tokens:</div>
+                            <div  class=""> ${oaiPromptTokens}</div>
+                        </div>
+                        <div class="flex-container ">
+                            <div  class=" flex1 tokenItemizingSubclass">-- Description: </div>
+                            <div  class="tokenItemizingSubclass">${charDescriptionTokens}</div>
+                        </div>
+                        <div class="flex-container ">
+                            <div  class=" flex1 tokenItemizingSubclass">-- Personality:</div>
+                            <div  class="tokenItemizingSubclass"> ${charPersonalityTokens}</div>
+                        </div>
+                        <div class="flex-container ">
+                            <div  class=" flex1 tokenItemizingSubclass">-- Scenario: </div>
+                            <div  class="tokenItemizingSubclass">${scenarioTextTokens}</div>
+                        </div>
+                        <div class="flex-container ">
+                            <div  class=" flex1 tokenItemizingSubclass">-- Examples:</div>
+                            <div  class="tokenItemizingSubclass"> ${examplesStringTokens}</div>
+                        </div>
+                    </div>
+                    <div class="wide100p flex-container">
+                        <div  class="flex1" style="color: gold;">World Info:</div>
+                        <div  class="">${worldInfoStringTokens}</div>
+                    </div>
+                    <div class="wide100p flex-container">        
+                        <div  class="flex1" style="color: palegreen;">Chat History:</div>
+                        <div  class=""> ${ActualChatHistoryTokens}</div>
+                    </div>
+                    <div class="wide100p flex-container flexNoGap flexFlowColumn">
+                        <div class="wide100p flex-container">
+                            <div  class="flex1" style="color: cornflowerblue;">Extensions:</div>
+                            <div  class="">${allAnchorsTokens}</div>
+                        </div>
+                        <div class="flex-container ">
+                            <div  class=" flex1 tokenItemizingSubclass">-- Summarize: </div>
+                            <div  class="tokenItemizingSubclass">${summarizeStringTokens}</div>
+                        </div>
+                        <div class="flex-container ">
+                            <div  class=" flex1 tokenItemizingSubclass">-- Author's Note:</div>
+                            <div  class="tokenItemizingSubclass"> ${authorsNoteStringTokens}</div>
+                        </div>
+                    </div>
+                    <div class="wide100p flex-container">
+                        <div  class="flex1" style="color: mediumpurple;">{{}} Bias:</div><div  class="">${oaiBiasTokens}</div>
+                    </div>
+                </div>
+
+            </div>
+            <hr class="sysHR">
+            <div class="wide100p flex-container flexFlowColumns">
+                <div class="flex-container wide100p">
+                    <div  class="flex1">Total Tokens in Prompt:</div><div  class=""> ${finalPromptTokens}</div>
+                </div>
+                <div class="flex-container wide100p">
+                    <div  class="flex1">Max Context:</div><div  class="">${thisPrompt_max_context}</div>
+                </div>
+                <div class="flex-container wide100p">
+                    <div  class="flex1">- Padding:</div><div  class=""> ${thisPrompt_padding}</div>
+                </div>
+                <div class="flex-container wide100p">
+                    <div  class="flex1">Actual Max Context Allowed:</div><div  class="">${thisPrompt_max_context - thisPrompt_padding}</div>
+                </div>
+            </div>
+        </div>
+        <hr class="sysHR">
+        `, 'text'
+        );
+
+    } else {
+        //console.log('-- calling popup for non-OAI tokens');
+        callPopup(
+            `
+        <h3>Prompt Itemization</h3>
+        Tokenizer: ${selectedTokenizer}<br>
+        API Used: ${this_main_api}<br>
         <span class="tokenItemizingSubclass">
             Only the white numbers really matter. All numbers are estimates.
             Grey color items may not have been included in the context due to certain prompt format settings.
@@ -2569,7 +2778,8 @@ function promptItemize(itemizedPrompts, requestedMesId) {
         </div>
         <hr class="sysHR">
         `, 'text'
-    );
+        );
+    }
 }
 
 function setInContextMessages(lastmsg, type) {
@@ -3295,8 +3505,10 @@ function changeMainAPI() {
         // Hide common settings for OpenAI
         if (selectedVal == "openai") {
             $("#common-gen-settings-block").css("display", "none");
+            $("#token_breakdown").css("display", "flex");
         } else {
             $("#common-gen-settings-block").css("display", "block");
+            $("#token_breakdown").css("display", "none");
         }
         // Hide amount gen for poe
         if (selectedVal == "poe") {

public/scripts/openai.js

@@ -101,6 +101,7 @@ const default_settings = {
     openai_model: 'gpt-3.5-turbo',
     jailbreak_system: false,
     reverse_proxy: '',
+    oai_breakdown: false,
 };
 
 const oai_settings = {
@@ -125,6 +126,7 @@ const oai_settings = {
     openai_model: 'gpt-3.5-turbo',
     jailbreak_system: false,
     reverse_proxy: '',
+    oai_breakdown: false,
 };
 
 let openai_setting_names;
@@ -317,16 +319,18 @@ async function prepareOpenAIMessages(name2, storyString, worldInfoBefore, worldI
     let openai_msgs_tosend = [];
 
     // todo: static value, maybe include in the initial context calculation
+    const handler_instance = new TokenHandler(countTokens);
+
     let new_chat_msg = { "role": "system", "content": "[Start a new chat]" };
-    let start_chat_count = countTokens([new_chat_msg], true);
+    let start_chat_count = handler_instance.count([new_chat_msg], true, 'start_chat');
     await delay(1);
-    let total_count = countTokens([prompt_msg], true) + start_chat_count;
+    let total_count = handler_instance.count([prompt_msg], true, 'prompt') + start_chat_count;
     await delay(1);
 
     if (bias && bias.trim().length) {
         let bias_msg = { "role": "system", "content": bias.trim() };
         openai_msgs.push(bias_msg);
-        total_count += countTokens([bias_msg], true);
+        total_count += handler_instance.count([bias_msg], true, 'bias');
         await delay(1);
     }
 
@@ -343,13 +347,14 @@ async function prepareOpenAIMessages(name2, storyString, worldInfoBefore, worldI
         openai_msgs.push(group_nudge);
 
         // add a group nudge count
-        let group_nudge_count = countTokens([group_nudge], true);
+        let group_nudge_count = handler_instance.count([group_nudge], true, 'nudge');
         await delay(1);
         total_count += group_nudge_count;
 
         // recount tokens for new start message
         total_count -= start_chat_count
-        start_chat_count = countTokens([new_chat_msg], true);
+        handler_instance.uncount(start_chat_count, 'start_chat');
+        start_chat_count = handler_instance.count([new_chat_msg], true);
         await delay(1);
         total_count += start_chat_count;
     }
@@ -358,7 +363,7 @@ async function prepareOpenAIMessages(name2, storyString, worldInfoBefore, worldI
         const jailbreakMessage = { "role": "system", "content": substituteParams(oai_settings.jailbreak_prompt) };
         openai_msgs.push(jailbreakMessage);
 
-        total_count += countTokens([jailbreakMessage], true);
+        total_count += handler_instance.count([jailbreakMessage], true, 'jailbreak');
         await delay(1);
     }
 
@@ -366,7 +371,7 @@ async function prepareOpenAIMessages(name2, storyString, worldInfoBefore, worldI
         const impersonateMessage = { "role": "system", "content": substituteParams(oai_settings.impersonation_prompt) };
         openai_msgs.push(impersonateMessage);
 
-        total_count += countTokens([impersonateMessage], true);
+        total_count += handler_instance.count([impersonateMessage], true, 'impersonate');
         await delay(1);
     }
 
@@ -389,12 +394,12 @@ async function prepareOpenAIMessages(name2, storyString, worldInfoBefore, worldI
                 examples_tosend.push(example);
             }
         }
-        total_count += countTokens(examples_tosend, true);
+        total_count += handler_instance.count(examples_tosend, true, 'examples');
         await delay(1);
         // go from newest message to oldest, because we want to delete the older ones from the context
         for (let j = openai_msgs.length - 1; j >= 0; j--) {
             let item = openai_msgs[j];
-            let item_count = countTokens(item, true);
+            let item_count = handler_instance.count(item, true, 'conversation');
             await delay(1);
             // If we have enough space for this message, also account for the max assistant reply size
             if ((total_count + item_count) < (this_max_context - oai_settings.openai_max_tokens)) {
@@ -403,13 +408,14 @@ async function prepareOpenAIMessages(name2, storyString, worldInfoBefore, worldI
             }
             else {
                 // early break since if we still have more messages, they just won't fit anyway
+                handler_instance.uncount(item_count, 'conversation');
                 break;
             }
         }
     } else {
         for (let j = openai_msgs.length - 1; j >= 0; j--) {
             let item = openai_msgs[j];
-            let item_count = countTokens(item, true);
+            let item_count = handler_instance.count(item, true, 'conversation');
             await delay(1);
             // If we have enough space for this message, also account for the max assistant reply size
             if ((total_count + item_count) < (this_max_context - oai_settings.openai_max_tokens)) {
@@ -418,11 +424,12 @@ async function prepareOpenAIMessages(name2, storyString, worldInfoBefore, worldI
             }
             else {
                 // early break since if we still have more messages, they just won't fit anyway
+                handler_instance.uncount(item_count, 'conversation');
                 break;
             }
         }
 
-        console.log(total_count);
+        //console.log(total_count);
 
         // each example block contains multiple user/bot messages
         for (let example_block of openai_msgs_example) {
@@ -432,7 +439,7 @@ async function prepareOpenAIMessages(name2, storyString, worldInfoBefore, worldI
             example_block = [new_chat_msg, ...example_block];
 
             // add the block only if there is enough space for all its messages
-            const example_count = countTokens(example_block, true);
+            const example_count = handler_instance.count(example_block, true, 'examples');
             await delay(1);
             if ((total_count + example_count) < (this_max_context - oai_settings.openai_max_tokens)) {
                 examples_tosend.push(...example_block)
@@ -440,6 +447,7 @@ async function prepareOpenAIMessages(name2, storyString, worldInfoBefore, worldI
             }
             else {
                 // early break since more examples probably won't fit anyway
+                handler_instance.uncount(example_count, 'examples');
                 break;
             }
         }
@@ -451,10 +459,14 @@ async function prepareOpenAIMessages(name2, storyString, worldInfoBefore, worldI
     openai_msgs_tosend.reverse();
     openai_msgs_tosend = [prompt_msg, ...examples_tosend, new_chat_msg, ...openai_msgs_tosend]
 
-    console.log("We're sending this:")
+    //console.log("We're sending this:")
-    console.log(openai_msgs_tosend);
+    //console.log(openai_msgs_tosend);
-    console.log(`Calculated the total context to be ${total_count} tokens`);
+    //console.log(`Calculated the total context to be ${total_count} tokens`);
-    return openai_msgs_tosend;
+    handler_instance.log();
+    return [
+        openai_msgs_tosend,
+        oai_settings.oai_breakdown ? handler_instance.counts : false,
+    ];
 }
 
 function getSystemPrompt(nsfw_toggle_prompt, enhance_definitions_prompt, wiBefore, storyString, wiAfter, extensionPrompt, isImpersonate) {
@@ -616,9 +628,42 @@ async function calculateLogitBias() {
     }
 }
 
+class TokenHandler {
+    constructor(countTokenFn) {
+        this.countTokenFn = countTokenFn;
+        this.counts = {
+            'start_chat': 0,
+            'prompt': 0,
+            'bias': 0,
+            'nudge': 0,
+            'jailbreak': 0,
+            'impersonate': 0,
+            'examples': 0,
+            'conversation': 0,
+        };
+    }
+
+    uncount(value, type) {
+        this.counts[type] -= value;
+    }
+
+    count(messages, full, type) {
+        console.log(messages);
+        const token_count = this.countTokenFn(messages, full);
+        this.counts[type] += token_count;
+
+        return token_count;
+    }
+
+    log() {
+        const total = Object.values(this.counts).reduce((a, b) => a + b);
+        console.table({ ...this.counts, 'total': total });
+    }
+}
+
 function countTokens(messages, full = false) {
     let chatId = 'undefined';
-    
+
     try {
         if (selected_group) {
             chatId = groups.find(x => x.id == selected_group)?.chat_id;
@@ -705,6 +750,7 @@ function loadOpenAISettings(data, settings) {
     if (settings.nsfw_first !== undefined) oai_settings.nsfw_first = !!settings.nsfw_first;
     if (settings.openai_model !== undefined) oai_settings.openai_model = settings.openai_model;
     if (settings.jailbreak_system !== undefined) oai_settings.jailbreak_system = !!settings.jailbreak_system;
+    if (settings.oai_breakdown !== undefined) oai_settings.oai_breakdown = !!settings.oai_breakdown;
 
     $('#stream_toggle').prop('checked', oai_settings.stream_openai);
 
@@ -720,6 +766,7 @@ function loadOpenAISettings(data, settings) {
     $('#wrap_in_quotes').prop('checked', oai_settings.wrap_in_quotes);
     $('#nsfw_first').prop('checked', oai_settings.nsfw_first);
     $('#jailbreak_system').prop('checked', oai_settings.jailbreak_system);
+    $('#oai_breakdown').prop('checked', oai_settings.oai_breakdown);
 
     if (settings.main_prompt !== undefined) oai_settings.main_prompt = settings.main_prompt;
     if (settings.nsfw_prompt !== undefined) oai_settings.nsfw_prompt = settings.nsfw_prompt;
@@ -839,6 +886,7 @@ async function saveOpenAIPreset(name, settings) {
         jailbreak_system: settings.jailbreak_system,
         impersonation_prompt: settings.impersonation_prompt,
         bias_preset_selected: settings.bias_preset_selected,
+        oai_breakdown: settings.oai_breakdown,
     };
 
     const savePresetSettings = await fetch(`/savepreset_openai?name=${name}`, {
@@ -1046,7 +1094,7 @@ async function onDeletePresetClick() {
     const response = await fetch('/deletepreset_openai', {
         method: 'POST',
         headers: getRequestHeaders(),
-        body: JSON.stringify({name: nameToDelete}),
+        body: JSON.stringify({ name: nameToDelete }),
     });
 
     if (!response.ok) {
@@ -1097,6 +1145,7 @@ function onSettingsPresetChange() {
         wrap_in_quotes: ['#wrap_in_quotes', 'wrap_in_quotes', true],
         nsfw_first: ['#nsfw_first', 'nsfw_first', true],
         jailbreak_system: ['#jailbreak_system', 'jailbreak_system', true],
+        oai_breakdown: ['#oai_breakdown', 'oai_breakdown', true],
         main_prompt: ['#main_prompt_textarea', 'main_prompt', false],
         nsfw_prompt: ['#nsfw_prompt_textarea', 'nsfw_prompt', false],
         jailbreak_prompt: ['#jailbreak_prompt_textarea', 'jailbreak_prompt', false],
@@ -1163,7 +1212,7 @@ function onReverseProxyInput() {
 async function onConnectButtonClick(e) {
     e.stopPropagation();
     const api_key_openai = $('#api_key_openai').val().trim();
-    
+
     if (api_key_openai.length) {
         await writeSecret(SECRET_KEYS.OPENAI, api_key_openai);
     }
@@ -1269,6 +1318,16 @@ $(document).ready(function () {
         saveSettingsDebounced();
     });
 
+    $("#oai_breakdown").on('change', function () {
+        oai_settings.oai_breakdown = !!$(this).prop("checked");
+        if (!oai_settings.oai_breakdown) {
+            $("#token_breakdown").css('display', 'none');
+        } else {
+            $("#token_breakdown").css('display', 'flex');
+        }
+        saveSettingsDebounced();
+    });
+
     // auto-select a preset based on character/group name
     $(document).on("click", ".character_select", function () {
         const chid = $(this).attr('chid');
@@ -1322,18 +1381,18 @@ $(document).ready(function () {
         saveSettingsDebounced();
     });
 
-    $("#api_button_openai").on('click', onConnectButtonClick);
+    $("#api_button_openai").on("click", onConnectButtonClick);
-    $("#openai_reverse_proxy").on('input', onReverseProxyInput);
+    $("#openai_reverse_proxy").on("input", onReverseProxyInput);
-    $("#model_openai_select").on('change', onModelChange);
+    $("#model_openai_select").on("change", onModelChange);
-    $("#settings_perset_openai").on('change', onSettingsPresetChange);
+    $("#settings_perset_openai").on("change", onSettingsPresetChange);
-    $("#new_oai_preset").on('click', onNewPresetClick);
+    $("#new_oai_preset").on("click", onNewPresetClick);
-    $("#delete_oai_preset").on('click', onDeletePresetClick);
+    $("#delete_oai_preset").on("click", onDeletePresetClick);
-    $("#openai_api_usage").on('click', showApiKeyUsage);
+    $("#openai_api_usage").on("click", showApiKeyUsage);
-    $('#openai_logit_bias_preset').on('change', onLogitBiasPresetChange);
+    $("#openai_logit_bias_preset").on("change", onLogitBiasPresetChange);
-    $('#openai_logit_bias_new_preset').on('click', createNewLogitBiasPreset);
+    $("#openai_logit_bias_new_preset").on("click", createNewLogitBiasPreset);
-    $('#openai_logit_bias_new_entry').on('click', createNewLogitBiasEntry);
+    $("#openai_logit_bias_new_entry").on("click", createNewLogitBiasEntry);
-    $('#openai_logit_bias_import_file').on('input', onLogitBiasPresetImportFileChange);
+    $("#openai_logit_bias_import_file").on("input", onLogitBiasPresetImportFileChange);
-    $('#openai_logit_bias_import_preset').on('click', onLogitBiasPresetImportClick);
+    $("#openai_logit_bias_import_preset").on("click", onLogitBiasPresetImportClick);
-    $('#openai_logit_bias_export_preset').on('click', onLogitBiasPresetExportClick);
+    $("#openai_logit_bias_export_preset").on("click", onLogitBiasPresetExportClick);
-    $('#openai_logit_bias_delete_preset').on('click', onLogitBiasPresetDeleteClick);
+    $("#openai_logit_bias_delete_preset").on("click", onLogitBiasPresetDeleteClick);
 });