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Merge branch 'main' into update_knowledge_cutoff_date
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README.md
12
README.md
@ -1,11 +1,12 @@
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<div align="center">
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<a href='https://nextchat.dev/chat'>
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<img src="https://github.com/user-attachments/assets/287c510f-f508-478e-ade3-54d30453dc18" width="1000" alt="icon"/>
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<img src="https://github.com/user-attachments/assets/83bdcc07-ae5e-4954-a53a-ac151ba6ccf3" width="1000" alt="icon"/>
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</a>
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<h1 align="center">NextChat (ChatGPT Next Web)</h1>
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English / [简体中文](./README_CN.md)
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@ -13,8 +14,7 @@ English / [简体中文](./README_CN.md)
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<a href="https://trendshift.io/repositories/5973" target="_blank"><img src="https://trendshift.io/api/badge/repositories/5973" alt="ChatGPTNextWeb%2FChatGPT-Next-Web | Trendshift" style="width: 250px; height: 55px;" width="250" height="55"/></a>
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One-Click to get a well-designed cross-platform ChatGPT web UI, with Claude, GPT4 & Gemini Pro support.
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✨ Light and Fast AI Assistant,with Claude, DeepSeek, GPT4 & Gemini Pro support.
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[![Saas][Saas-image]][saas-url]
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[![Web][Web-image]][web-url]
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@ -22,7 +22,7 @@ One-Click to get a well-designed cross-platform ChatGPT web UI, with Claude, GPT
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[![MacOS][MacOS-image]][download-url]
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[![Linux][Linux-image]][download-url]
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[NextChatAI](https://nextchat.dev/chat?utm_source=readme) / [Web App Demo](https://app.nextchat.dev) / [Desktop App](https://github.com/Yidadaa/ChatGPT-Next-Web/releases) / [Discord](https://discord.gg/YCkeafCafC) / [Enterprise Edition](#enterprise-edition) / [Twitter](https://twitter.com/NextChatDev)
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[NextChatAI](https://nextchat.dev/chat?utm_source=readme) / [Web App Demo](https://app.nextchat.dev) / [Desktop App](https://github.com/Yidadaa/ChatGPT-Next-Web/releases)
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[saas-url]: https://nextchat.dev/chat?utm_source=readme
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@ -34,9 +34,9 @@ One-Click to get a well-designed cross-platform ChatGPT web UI, with Claude, GPT
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[MacOS-image]: https://img.shields.io/badge/-MacOS-black?logo=apple
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[Linux-image]: https://img.shields.io/badge/-Linux-333?logo=ubuntu
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[<img src="https://vercel.com/button" alt="Deploy on Vercel" height="30">](https://vercel.com/new/clone?repository-url=https%3A%2F%2Fgithub.com%2FChatGPTNextWeb%2FChatGPT-Next-Web&env=OPENAI_API_KEY&env=CODE&project-name=nextchat&repository-name=NextChat) [<img src="https://zeabur.com/button.svg" alt="Deploy on Zeabur" height="30">](https://zeabur.com/templates/ZBUEFA) [<img src="https://gitpod.io/button/open-in-gitpod.svg" alt="Open in Gitpod" height="30">](https://gitpod.io/#https://github.com/Yidadaa/ChatGPT-Next-Web) [<img src="https://img.shields.io/badge/BT_Deploy-Install-20a53a" alt="BT Deply Install" height="30">](https://www.bt.cn/new/download.html)
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[<img src="https://zeabur.com/button.svg" alt="Deploy on Zeabur" height="30">](https://zeabur.com/templates/ZBUEFA) [<img src="https://vercel.com/button" alt="Deploy on Vercel" height="30">](https://vercel.com/new/clone?repository-url=https%3A%2F%2Fgithub.com%2FChatGPTNextWeb%2FChatGPT-Next-Web&env=OPENAI_API_KEY&env=CODE&project-name=nextchat&repository-name=NextChat) [<img src="https://gitpod.io/button/open-in-gitpod.svg" alt="Open in Gitpod" height="30">](https://gitpod.io/#https://github.com/ChatGPTNextWeb/NextChat)
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[<img src="https://github.com/user-attachments/assets/903482d4-3e87-4134-9af1-f2588fa90659" height="60" width="288" >](https://monica.im/?utm=nxcrp)
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[<img src="https://github.com/user-attachments/assets/903482d4-3e87-4134-9af1-f2588fa90659" height="50" width="" >](https://monica.im/?utm=nxcrp)
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</div>
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@ -89,7 +89,7 @@ code1,code2,code3
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### `OPENAI_API_KEY` （必填项）
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OpanAI 密钥，你在 openai 账户页面申请的 api key，使用英文逗号隔开多个 key，这样可以随机轮询这些 key。
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OpenAI 密钥，你在 openai 账户页面申请的 api key，使用英文逗号隔开多个 key，这样可以随机轮询这些 key。
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### `CODE` （可选）
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@ -14,7 +14,7 @@ function getModels(remoteModelRes: OpenAIListModelResponse) {
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if (config.disableGPT4) {
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remoteModelRes.data = remoteModelRes.data.filter(
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(m) =>
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!(m.id.startsWith("gpt-4") || m.id.startsWith("chatgpt-4o") || m.id.startsWith("o1")) ||
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!(m.id.startsWith("gpt-4") || m.id.startsWith("chatgpt-4o") || m.id.startsWith("o1") || m.id.startsWith("o3")) ||
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m.id.startsWith("gpt-4o-mini"),
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);
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}
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@ -195,7 +195,7 @@ 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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const isO1OrO3 = options.config.model.startsWith("o1") || options.config.model.startsWith("o3");
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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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@ -217,7 +217,7 @@ 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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if (!(isO1 && v.role === "system"))
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if (!(isO1OrO3 && v.role === "system"))
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messages.push({ role: v.role, content });
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}
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@ -226,16 +226,16 @@ export class ChatGPTApi implements LLMApi {
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messages,
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stream: options.config.stream,
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model: modelConfig.model,
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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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temperature: !isO1OrO3 ? modelConfig.temperature : 1,
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presence_penalty: !isO1OrO3 ? modelConfig.presence_penalty : 0,
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frequency_penalty: !isO1OrO3 ? modelConfig.frequency_penalty : 0,
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top_p: !isO1OrO3 ? 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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// O1 使用 max_completion_tokens 控制token数 (https://platform.openai.com/docs/guides/reasoning#controlling-costs)
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if (isO1) {
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if (isO1OrO3) {
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requestPayload["max_completion_tokens"] = modelConfig.max_tokens;
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}
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@ -359,7 +359,7 @@ 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 || isO1 ? REQUEST_TIMEOUT_MS * 4 : REQUEST_TIMEOUT_MS, // dalle3 using b64_json is slow.
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isDalle3 || isO1OrO3 ? REQUEST_TIMEOUT_MS * 4 : 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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@ -38,7 +38,8 @@ export function Avatar(props: { model?: ModelType; avatar?: string }) {
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<div className="no-dark">
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{props.model?.startsWith("gpt-4") ||
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props.model?.startsWith("chatgpt-4o") ||
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props.model?.startsWith("o1") ? (
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props.model?.startsWith("o1") ||
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props.model?.startsWith("o3") ? (
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<BlackBotIcon className="user-avatar" />
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) : (
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<BotIcon className="user-avatar" />
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@ -500,7 +500,9 @@ const googleModels = [
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"gemini-exp-1121",
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"gemini-exp-1206",
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"gemini-2.0-flash-exp",
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"gemini-2.0-flash-thinking-exp",
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"gemini-2.0-flash-thinking-exp-1219",
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"gemini-2.0-flash-thinking-exp-01-21",
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];
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const anthropicModels = [
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import { DEFAULT_MODELS } from "../constant";
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import { DEFAULT_MODELS, ServiceProvider } from "../constant";
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import { LLMModel } from "../client/api";
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const CustomSeq = {
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@ -246,6 +246,11 @@ export function isModelNotavailableInServer(
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? providerNames
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: [providerNames];
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for (const providerName of providerNamesArray) {
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// if model provider is bytedance, use model config name to check if not avaliable
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if (providerName === ServiceProvider.ByteDance) {
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return !Object.values(modelTable).filter((v) => v.name === modelName)?.[0]
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?.available;
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}
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const fullName = `${modelName}@${providerName.toLowerCase()}`;
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if (modelTable?.[fullName]?.available === true) return false;
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}
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