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https://github.com/ChatGPTNextWeb/ChatGPT-Next-Web.git
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15 Commits
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v2.15.2
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88b1c1c6a5 |
@@ -160,6 +160,7 @@ export class ChatGPTApi implements LLMApi {
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let requestPayload: RequestPayload | DalleRequestPayload;
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const isDalle3 = _isDalle3(options.config.model);
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const isO1 = options.config.model.startsWith("o1");
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if (isDalle3) {
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const prompt = getMessageTextContent(
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options.messages.slice(-1)?.pop() as any,
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@@ -181,30 +182,32 @@ export class ChatGPTApi implements LLMApi {
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const content = visionModel
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? await preProcessImageContent(v.content)
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: getMessageTextContent(v);
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messages.push({ role: v.role, content });
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if (!(isO1 && v.role === "system"))
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messages.push({ role: v.role, content });
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}
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// O1 not support image, tools (plugin in ChatGPTNextWeb) and system, stream, logprobs, temperature, top_p, n, presence_penalty, frequency_penalty yet.
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requestPayload = {
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messages,
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stream: options.config.stream,
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stream: !isO1 ? options.config.stream : false,
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model: modelConfig.model,
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temperature: modelConfig.temperature,
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presence_penalty: modelConfig.presence_penalty,
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frequency_penalty: modelConfig.frequency_penalty,
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top_p: modelConfig.top_p,
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temperature: !isO1 ? modelConfig.temperature : 1,
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presence_penalty: !isO1 ? modelConfig.presence_penalty : 0,
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frequency_penalty: !isO1 ? modelConfig.frequency_penalty : 0,
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top_p: !isO1 ? modelConfig.top_p : 1,
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// max_tokens: Math.max(modelConfig.max_tokens, 1024),
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// Please do not ask me why not send max_tokens, no reason, this param is just shit, I dont want to explain anymore.
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};
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// add max_tokens to vision model
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if (visionModel && modelConfig.model.includes("preview")) {
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if (visionModel) {
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requestPayload["max_tokens"] = Math.max(modelConfig.max_tokens, 4000);
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}
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}
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console.log("[Request] openai payload: ", requestPayload);
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const shouldStream = !isDalle3 && !!options.config.stream;
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const shouldStream = !isDalle3 && !!options.config.stream && !isO1;
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const controller = new AbortController();
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options.onController?.(controller);
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@@ -313,7 +316,7 @@ export class ChatGPTApi implements LLMApi {
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// make a fetch request
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const requestTimeoutId = setTimeout(
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() => controller.abort(),
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isDalle3 ? REQUEST_TIMEOUT_MS * 2 : REQUEST_TIMEOUT_MS, // dalle3 using b64_json is slow.
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isDalle3 || isO1 ? REQUEST_TIMEOUT_MS * 2 : REQUEST_TIMEOUT_MS, // dalle3 using b64_json is slow.
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);
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const res = await fetch(chatPath, chatPayload);
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@@ -80,7 +80,7 @@ export const HTMLPreview = forwardRef<HTMLPreviewHander, HTMLPreviewProps>(
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}, [props.autoHeight, props.height, iframeHeight]);
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const srcDoc = useMemo(() => {
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const script = `<script>new ResizeObserver((entries) => parent.postMessage({id: '${frameId}', height: entries[0].target.clientHeight}, '*')).observe(document.body)</script>`;
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const script = `<script>window.addEventListener("DOMContentLoaded", () => new ResizeObserver((entries) => parent.postMessage({id: '${frameId}', height: entries[0].target.clientHeight}, '*')).observe(document.body))</script>`;
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if (props.code.includes("<!DOCTYPE html>")) {
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props.code.replace("<!DOCTYPE html>", "<!DOCTYPE html>" + script);
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}
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@@ -192,7 +192,7 @@ function PromptToast(props: {
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return (
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<div className={styles["prompt-toast"]} key="prompt-toast">
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{props.showToast && (
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{props.showToast && context.length > 0 && (
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<div
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className={styles["prompt-toast-inner"] + " clickable"}
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role="button"
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@@ -507,6 +507,8 @@ export function ChatActions(props: {
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const currentStyle =
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chatStore.currentSession().mask.modelConfig?.style ?? "vivid";
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const isMobileScreen = useMobileScreen();
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useEffect(() => {
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const show = isVisionModel(currentModel);
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setShowUploadImage(show);
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@@ -761,11 +763,13 @@ export function ChatActions(props: {
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/>
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)}
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<ChatAction
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onClick={() => props.setShowShortcutKeyModal(true)}
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text={Locale.Chat.ShortcutKey.Title}
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icon={<ShortcutkeyIcon />}
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/>
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{!isMobileScreen && (
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<ChatAction
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onClick={() => props.setShowShortcutKeyModal(true)}
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text={Locale.Chat.ShortcutKey.Title}
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icon={<ShortcutkeyIcon />}
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/>
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)}
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</div>
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);
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}
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@@ -237,9 +237,26 @@ function escapeBrackets(text: string) {
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);
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}
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function tryWrapHtmlCode(text: string) {
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// try add wrap html code (fixed: html codeblock include 2 newline)
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return text
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.replace(
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/([`]*?)(\w*?)([\n\r]*?)(<!DOCTYPE html>)/g,
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(match, quoteStart, lang, newLine, doctype) => {
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return !quoteStart ? "\n```html\n" + doctype : match;
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},
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)
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.replace(
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/(<\/body>)([\r\n\s]*?)(<\/html>)([\n\r]*?)([`]*?)([\n\r]*?)/g,
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(match, bodyEnd, space, htmlEnd, newLine, quoteEnd) => {
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return !quoteEnd ? bodyEnd + space + htmlEnd + "\n```\n" : match;
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},
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);
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}
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function _MarkDownContent(props: { content: string }) {
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const escapedContent = useMemo(() => {
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return escapeBrackets(escapeDollarNumber(props.content));
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return tryWrapHtmlCode(escapeBrackets(escapeDollarNumber(props.content)));
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}, [props.content]);
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return (
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@@ -250,6 +250,8 @@ export const KnowledgeCutOffDate: Record<string, string> = {
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"gpt-4o-mini": "2023-10",
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"gpt-4o-mini-2024-07-18": "2023-10",
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"gpt-4-vision-preview": "2023-04",
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"o1-mini": "2023-10",
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"o1-preview": "2023-10",
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// After improvements,
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// it's now easier to add "KnowledgeCutOffDate" instead of stupid hardcoding it, as was done previously.
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"gemini-pro": "2023-12",
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@@ -276,6 +278,8 @@ const openaiModels = [
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"gpt-4-turbo-2024-04-09",
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"gpt-4-1106-preview",
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"dall-e-3",
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"o1-mini",
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"o1-preview"
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];
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const googleModels = [
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@@ -504,8 +504,8 @@ const cn = {
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},
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},
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Copy: {
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Success: "已写入剪切板",
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Failed: "复制失败,请赋予剪切板权限",
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Success: "已写入剪贴板",
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Failed: "复制失败,请赋予剪贴板权限",
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},
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Download: {
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Success: "内容已下载到您的目录。",
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@@ -9,7 +9,7 @@
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},
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"package": {
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"productName": "NextChat",
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"version": "2.15.1"
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"version": "2.15.2"
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},
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"tauri": {
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"allowlist": {
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