Fix issues with token counts
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0cc30a28dc
commit
567845be06
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@ -22,8 +22,9 @@ html {
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--chatContentPaddingTop: 20px;
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--chatContentPaddingRight: 40px;
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--chatContentPaddingBottom: 130px;
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--chatContentPaddingBottom: 110px;
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--chatContentPaddingLeft: 40px;
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--runningTotalLineHeight: 28px;
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--chatInputPaddingTop: 0px;
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--chatInputPaddingRight: 60px;
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@ -31,6 +32,7 @@ html {
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--chatInputPaddingLeft: 60px;
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--BgColor: var(-BgColorLight);
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--running-totals: 0;
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}
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.navbar {
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@ -371,7 +373,7 @@ aside.menu.main-menu .menu-expanse {
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display: block;
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position: fixed;
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bottom: 0px;
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height: var(--chatContentPaddingBottom) ;
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height: calc(var(--chatContentPaddingBottom) + var(--runningTotalLineHeight) * var(--running-totals));
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width: 100%;
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background-image: linear-gradient(180deg,hsla(0,0%,100%,0) 13.94%, var(--BgColorLight) 54.73%);
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}
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@ -419,7 +421,7 @@ aside.menu.main-menu .menu-expanse {
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padding:
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var(--chatContentPaddingTop)
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var(--chatContentPaddingRight)
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var(--chatContentPaddingBottom)
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calc(var(--chatContentPaddingBottom) + var(--runningTotalLineHeight) * var(--running-totals))
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var(--chatContentPaddingLeft) ;
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}
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@ -370,7 +370,7 @@
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request.stream = opts.streaming
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chatResponse.setPromptTokenCount(promptTokenCount)
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chatResponse.setPromptTokenCount(promptTokenCount) // streaming needs this
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const signal = controller.signal
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@ -589,7 +589,7 @@
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</script>
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{#if chat}
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<ChatSettingsModal chatId={chatId} bind:show={showSettingsModal} />
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<div class="chat-page" style="--running-totals: {Object.entries(chat.usage || {}).length}">
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<div class="chat-content">
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<nav class="level chat-header">
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<div class="level-left">
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@ -676,4 +676,5 @@
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{/each}
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</div>
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</Footer>
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</div>
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{/if}
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@ -1,7 +1,7 @@
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<script context="module" lang="ts">
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// TODO: Integrate API calls
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import { addMessage, saveChatStore, subtractRunningTotal, updateRunningTotal } from './Storage.svelte'
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import type { Chat, ChatCompletionOpts, Message, Response, Usage } from './Types.svelte'
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import { addMessage, getLatestKnownModel, saveChatStore, setLatestKnownModel, subtractRunningTotal, updateRunningTotal } from './Storage.svelte'
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import type { Chat, ChatCompletionOpts, Message, Model, Response, Usage } from './Types.svelte'
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import { encode } from 'gpt-tokenizer'
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import { v4 as uuidv4 } from 'uuid'
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@ -20,6 +20,7 @@ export class ChatCompletionResponse {
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private offsetTotals: Usage
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private isFill: boolean = false
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private didFill: boolean = false
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private opts: ChatCompletionOpts
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private chat: Chat
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@ -28,6 +29,16 @@ export class ChatCompletionResponse {
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private error: string
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private model: Model
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private lastModel: Model
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private setModel = (model: Model) => {
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if (!model) return
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!this.model && setLatestKnownModel(this.chat.settings.model as Model, model)
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this.lastModel = this.model || model
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this.model = model
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}
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private finishResolver: (value: Message[]) => void
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private errorResolver: (error: string) => void
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private finishPromise = new Promise<Message[]>((resolve, reject) => {
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@ -49,11 +60,11 @@ export class ChatCompletionResponse {
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const exitingMessage = this.messages[i]
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const message = exitingMessage || choice.message
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if (exitingMessage) {
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if (this.isFill && choice.message.content.match(/^'(t|ll|ve|m|d|re)[^a-z]/i)) {
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if (!this.didFill && this.isFill && choice.message.content.match(/^'(t|ll|ve|m|d|re)[^a-z]/i)) {
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// deal with merging contractions since we've added an extra space to your fill message
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message.content.replace(/ $/, '')
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}
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this.isFill = false
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this.didFill = true
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message.content += choice.message.content
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message.usage = message.usage || {
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prompt_tokens: 0,
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@ -61,8 +72,8 @@ export class ChatCompletionResponse {
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total_tokens: 0
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} as Usage
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message.usage.completion_tokens += response.usage.completion_tokens
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message.usage.prompt_tokens += response.usage.prompt_tokens
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message.usage.total_tokens += response.usage.total_tokens
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message.usage.prompt_tokens = response.usage.prompt_tokens + (this.offsetTotals?.prompt_tokens || 0)
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message.usage.total_tokens += response.usage.total_tokens + (this.offsetTotals?.total_tokens || 0)
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} else {
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message.content = choice.message.content
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message.usage = response.usage
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@ -70,6 +81,7 @@ export class ChatCompletionResponse {
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message.finish_reason = choice.finish_reason
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message.role = choice.message.role
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message.model = response.model
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this.setModel(response.model)
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this.messages[i] = message
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if (this.opts.autoAddMessages) addMessage(this.chat.id, message)
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})
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@ -87,30 +99,30 @@ export class ChatCompletionResponse {
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} as Message
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choice.delta?.role && (message.role = choice.delta.role)
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if (choice.delta?.content) {
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if (this.isFill && choice.delta.content.match(/^'(t|ll|ve|m|d|re)[^a-z]/i)) {
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if (!this.didFill && this.isFill && choice.delta.content.match(/^'(t|ll|ve|m|d|re)[^a-z]/i)) {
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// deal with merging contractions since we've added an extra space to your fill message
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message.content.replace(/([a-z]) $/i, '$1')
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}
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this.isFill = false
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this.didFill = true
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message.content += choice.delta.content
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}
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completionTokenCount += encode(message.content).length
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message.usage = response.usage || {
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prompt_tokens: this.promptTokenCount
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} as Usage
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message.model = response.model
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this.setModel(response.model)
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message.finish_reason = choice.finish_reason
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message.streaming = choice.finish_reason === null && !this.finished
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this.messages[i] = message
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if (this.opts.autoAddMessages) addMessage(this.chat.id, message)
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})
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// total up the tokens
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const totalTokens = this.promptTokenCount + completionTokenCount
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const promptTokens = this.promptTokenCount + (this.offsetTotals?.prompt_tokens || 0)
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const totalTokens = promptTokens + completionTokenCount
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this.messages.forEach(m => {
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if (m.usage) {
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m.usage.completion_tokens = completionTokenCount
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m.usage.total_tokens = totalTokens
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}
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m.usage = {
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completion_tokens: completionTokenCount,
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total_tokens: totalTokens,
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prompt_tokens: promptTokens
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} as Usage
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if (this.opts.autoAddMessages) addMessage(this.chat.id, m)
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})
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const finished = !this.messages.find(m => m.streaming)
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this.notifyMessageChange()
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@ -167,12 +179,13 @@ export class ChatCompletionResponse {
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this.messages.forEach(m => { m.streaming = false }) // make sure all are marked stopped
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saveChatStore()
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const message = this.messages[0]
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const model = this.model || getLatestKnownModel(this.chat.settings.model as Model)
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if (message) {
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if (this.offsetTotals) {
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if (this.isFill && this.lastModel === this.model && this.offsetTotals && model && message.usage) {
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// Need to subtract some previous message totals before we add new combined message totals
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subtractRunningTotal(this.chat.id, this.offsetTotals, this.chat.settings.model as any)
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subtractRunningTotal(this.chat.id, this.offsetTotals, model)
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}
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updateRunningTotal(this.chat.id, message.usage as any, message.model as any)
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updateRunningTotal(this.chat.id, message.usage as Usage, model)
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} else {
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// If no messages it's probably because of an error or user initiated abort.
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// We could miss counting the cost of the prompts sent.
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@ -186,7 +199,7 @@ export class ChatCompletionResponse {
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completion_tokens: 0, // We have no idea if there are any to count
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total_tokens: this.promptTokenCount
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}
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updateRunningTotal(this.chat.id, usage as any, this.chat.settings.model as any)
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updateRunningTotal(this.chat.id, usage as Usage, model)
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}
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this.notifyFinish()
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if (this.error) {
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@ -8,6 +8,7 @@
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import { errorNotice } from './Util.svelte'
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export const chatsStorage = persisted('chats', [] as Chat[])
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export const latestModelMap = persisted('latestModelMap', {} as Record<Model, Model>) // What was returned when a model was requested
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export const globalStorage = persisted('global', {} as GlobalSettings)
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export const apiKeyStorage = persisted('apiKey', '' as string)
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export let checkStateChange = writable(0) // Trigger for Chat
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@ -462,5 +463,17 @@
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}
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return cname
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}
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export const getLatestKnownModel = (model:Model) => {
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const modelMapStore = get(latestModelMap)
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return modelMapStore[model] || model
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}
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export const setLatestKnownModel = (requestedModel:Model, responseModel:Model) => {
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const modelMapStore = get(latestModelMap)
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modelMapStore[requestedModel] = responseModel
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latestModelMap.set(modelMapStore)
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}
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</script>
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