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Leizhenpen
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a9d0632bf5
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16c16887ae |
@@ -22,7 +22,7 @@ English / [简体中文](./README_CN.md)
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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.club?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.club?utm_source=readme) / [iOS APP](https://apps.apple.com/us/app/nextchat-ai/id6743085599) / [Web App Demo](https://app.nextchat.dev) / [Desktop App](https://github.com/Yidadaa/ChatGPT-Next-Web/releases) / [Enterprise Edition](#enterprise-edition)
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[saas-url]: https://nextchat.club?utm_source=readme
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@@ -41,7 +41,9 @@ English / [简体中文](./README_CN.md)
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</div>
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## 🥳 Cheer for NextChat iOS Version Online!
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> [ 👉 Click Here Install Now](https://apps.apple.com/us/app/nextchat-ai/id6743085599)
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> [👉 Click Here to Install Now](https://apps.apple.com/us/app/nextchat-ai/id6743085599)
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> [❤️ Source Code Coming Soon](https://github.com/ChatGPTNextWeb/NextChat-iOS)
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@@ -56,7 +56,7 @@ export interface OpenAIListModelResponse {
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export interface RequestPayload {
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messages: {
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role: "system" | "user" | "assistant";
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role: "developer" | "system" | "user" | "assistant";
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content: string | MultimodalContent[];
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}[];
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stream?: boolean;
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@@ -198,7 +198,8 @@ export class ChatGPTApi implements LLMApi {
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const isDalle3 = _isDalle3(options.config.model);
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const isO1OrO3 =
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options.config.model.startsWith("o1") ||
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options.config.model.startsWith("o3");
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options.config.model.startsWith("o3") ||
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options.config.model.startsWith("o4-mini");
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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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@@ -237,13 +238,21 @@ export class ChatGPTApi implements LLMApi {
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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 (isO1OrO3) {
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// by default the o1/o3 models will not attempt to produce output that includes markdown formatting
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// manually add "Formatting re-enabled" developer message to encourage markdown inclusion in model responses
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// (https://learn.microsoft.com/en-us/azure/ai-services/openai/how-to/reasoning?tabs=python-secure#markdown-output)
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requestPayload["messages"].unshift({
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role: "developer",
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content: "Formatting re-enabled",
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});
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// o1/o3 uses max_completion_tokens to control the number of tokens (https://platform.openai.com/docs/guides/reasoning#controlling-costs)
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requestPayload["max_completion_tokens"] = modelConfig.max_tokens;
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}
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// add max_tokens to vision model
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if (visionModel) {
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if (visionModel && !isO1OrO3) {
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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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@@ -478,6 +478,8 @@ export const VISION_MODEL_REGEXES = [
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/^dall-e-3$/, // Matches exactly "dall-e-3"
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/glm-4v/,
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/vl/i,
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/o3/,
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/o4-mini/,
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];
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export const EXCLUDE_VISION_MODEL_REGEXES = [/claude-3-5-haiku-20241022/];
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@@ -516,6 +518,8 @@ const openaiModels = [
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"o1-mini",
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"o1-preview",
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"o3-mini",
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"o3",
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"o4-mini",
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];
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const googleModels = [
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@@ -542,6 +546,7 @@ const googleModels = [
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"gemini-2.0-flash-thinking-exp-01-21",
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"gemini-2.0-pro-exp",
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"gemini-2.0-pro-exp-02-05",
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"gemini-2.5-pro-preview-06-05",
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];
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const anthropicModels = [
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@@ -628,6 +633,18 @@ const xAIModes = [
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"grok-2-vision-1212",
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"grok-2-vision",
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"grok-2-vision-latest",
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"grok-3-mini-fast-beta",
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"grok-3-mini-fast",
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"grok-3-mini-fast-latest",
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"grok-3-mini-beta",
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"grok-3-mini",
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"grok-3-mini-latest",
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"grok-3-fast-beta",
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"grok-3-fast",
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"grok-3-fast-latest",
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"grok-3-beta",
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"grok-3",
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"grok-3-latest",
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];
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const chatglmModels = [
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@@ -159,10 +159,10 @@ export const usePromptStore = createPersistStore(
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fetch(PROMPT_URL)
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.then((res) => res.json())
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.then((res) => {
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let fetchPrompts = [res.en, res.tw, res.cn];
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if (getLang() === "cn") {
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fetchPrompts = fetchPrompts.reverse();
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}
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const lang = getLang();
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const fetchPrompts = [res[lang], res.en, res.tw, res.cn].filter(
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Boolean,
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);
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const builtinPrompts = fetchPrompts.map((promptList: PromptList) => {
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return promptList.map(
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([title, content]) =>
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@@ -180,8 +180,9 @@ export const usePromptStore = createPersistStore(
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const allPromptsForSearch = builtinPrompts
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.reduce((pre, cur) => pre.concat(cur), [])
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.filter((v) => !!v.title && !!v.content);
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SearchService.count.builtin =
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res.en.length + res.cn.length + res.tw.length;
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SearchService.count.builtin = Object.values(res)
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.filter(Array.isArray)
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.reduce((total, promptList) => total + promptList.length, 0);
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SearchService.init(allPromptsForSearch, userPrompts);
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});
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},
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