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	| Author | SHA1 | Date | |
|---|---|---|---|
| 
						 | 
					b95b1ac6f3 | 
							
								
								
									
										21
									
								
								README.md
									
									
									
									
									
								
							
							
						
						
									
										21
									
								
								README.md
									
									
									
									
									
								
							@@ -7,7 +7,7 @@
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		||||
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		||||
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		||||
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<h1 align="center">NextChat</h1>
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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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		||||
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		||||
@@ -22,6 +22,7 @@ English / [简体中文](./README_CN.md)
 | 
			
		||||
[![MacOS][MacOS-image]][download-url]
 | 
			
		||||
[![Linux][Linux-image]][download-url]
 | 
			
		||||
 | 
			
		||||
[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) 
 | 
			
		||||
[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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		||||
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@@ -40,6 +41,24 @@ English / [简体中文](./README_CN.md)
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		||||
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		||||
</div>
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		||||
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		||||
## 👋 Hey, NextChat is going to develop a native app!
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		||||
 | 
			
		||||
> This week we are going to start working on iOS and Android APP, and we want to find some reliable friends to do it together!
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		||||
 | 
			
		||||
 | 
			
		||||
✨ Several key points:
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		||||
 | 
			
		||||
- Starting from 0, you are a veteran
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		||||
- Completely open source, not hidden
 | 
			
		||||
- Native development, pursuing the ultimate experience
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		||||
 | 
			
		||||
Will you come and do something together? 😎
 | 
			
		||||
 | 
			
		||||
https://github.com/ChatGPTNextWeb/NextChat/issues/6269
 | 
			
		||||
 | 
			
		||||
#Seeking for talents is thirsty #lack of people
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		||||
 | 
			
		||||
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		||||
## 🥳 Cheer for DeepSeek, China's AI star!
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		||||
 > Purpose-Built UI for DeepSeek Reasoner Model
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		||||
 
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		||||
 
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@@ -40,11 +40,6 @@ export interface MultimodalContent {
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		||||
  };
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		||||
}
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		||||
 | 
			
		||||
export interface MultimodalContentForAlibaba {
 | 
			
		||||
  text?: string;
 | 
			
		||||
  image?: string;
 | 
			
		||||
}
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		||||
 | 
			
		||||
export interface RequestMessage {
 | 
			
		||||
  role: MessageRole;
 | 
			
		||||
  content: string | MultimodalContent[];
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		||||
 
 | 
			
		||||
@@ -7,10 +7,7 @@ import {
 | 
			
		||||
  ChatMessageTool,
 | 
			
		||||
  usePluginStore,
 | 
			
		||||
} from "@/app/store";
 | 
			
		||||
import {
 | 
			
		||||
  preProcessImageContentForAlibabaDashScope,
 | 
			
		||||
  streamWithThink,
 | 
			
		||||
} from "@/app/utils/chat";
 | 
			
		||||
import { streamWithThink } from "@/app/utils/chat";
 | 
			
		||||
import {
 | 
			
		||||
  ChatOptions,
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		||||
  getHeaders,
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		||||
@@ -18,14 +15,12 @@ import {
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		||||
  LLMModel,
 | 
			
		||||
  SpeechOptions,
 | 
			
		||||
  MultimodalContent,
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		||||
  MultimodalContentForAlibaba,
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		||||
} from "../api";
 | 
			
		||||
import { getClientConfig } from "@/app/config/client";
 | 
			
		||||
import {
 | 
			
		||||
  getMessageTextContent,
 | 
			
		||||
  getMessageTextContentWithoutThinking,
 | 
			
		||||
  getTimeoutMSByModel,
 | 
			
		||||
  isVisionModel,
 | 
			
		||||
} from "@/app/utils";
 | 
			
		||||
import { fetch } from "@/app/utils/stream";
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		||||
 | 
			
		||||
@@ -94,6 +89,14 @@ export class QwenApi implements LLMApi {
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		||||
  }
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		||||
 | 
			
		||||
  async chat(options: ChatOptions) {
 | 
			
		||||
    const messages = options.messages.map((v) => ({
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		||||
      role: v.role,
 | 
			
		||||
      content:
 | 
			
		||||
        v.role === "assistant"
 | 
			
		||||
          ? getMessageTextContentWithoutThinking(v)
 | 
			
		||||
          : getMessageTextContent(v),
 | 
			
		||||
    }));
 | 
			
		||||
 | 
			
		||||
    const modelConfig = {
 | 
			
		||||
      ...useAppConfig.getState().modelConfig,
 | 
			
		||||
      ...useChatStore.getState().currentSession().mask.modelConfig,
 | 
			
		||||
@@ -102,21 +105,6 @@ export class QwenApi implements LLMApi {
 | 
			
		||||
      },
 | 
			
		||||
    };
 | 
			
		||||
 | 
			
		||||
    const visionModel = isVisionModel(options.config.model);
 | 
			
		||||
 | 
			
		||||
    const messages: ChatOptions["messages"] = [];
 | 
			
		||||
    for (const v of options.messages) {
 | 
			
		||||
      const content = (
 | 
			
		||||
        visionModel
 | 
			
		||||
          ? await preProcessImageContentForAlibabaDashScope(v.content)
 | 
			
		||||
          : v.role === "assistant"
 | 
			
		||||
          ? getMessageTextContentWithoutThinking(v)
 | 
			
		||||
          : getMessageTextContent(v)
 | 
			
		||||
      ) as any;
 | 
			
		||||
 | 
			
		||||
      messages.push({ role: v.role, content });
 | 
			
		||||
    }
 | 
			
		||||
 | 
			
		||||
    const shouldStream = !!options.config.stream;
 | 
			
		||||
    const requestPayload: RequestPayload = {
 | 
			
		||||
      model: modelConfig.model,
 | 
			
		||||
@@ -141,7 +129,7 @@ export class QwenApi implements LLMApi {
 | 
			
		||||
        "X-DashScope-SSE": shouldStream ? "enable" : "disable",
 | 
			
		||||
      };
 | 
			
		||||
 | 
			
		||||
      const chatPath = this.path(Alibaba.ChatPath(modelConfig.model));
 | 
			
		||||
      const chatPath = this.path(Alibaba.ChatPath);
 | 
			
		||||
      const chatPayload = {
 | 
			
		||||
        method: "POST",
 | 
			
		||||
        body: JSON.stringify(requestPayload),
 | 
			
		||||
@@ -174,7 +162,7 @@ export class QwenApi implements LLMApi {
 | 
			
		||||
            const json = JSON.parse(text);
 | 
			
		||||
            const choices = json.output.choices as Array<{
 | 
			
		||||
              message: {
 | 
			
		||||
                content: string | null | MultimodalContentForAlibaba[];
 | 
			
		||||
                content: string | null;
 | 
			
		||||
                tool_calls: ChatMessageTool[];
 | 
			
		||||
                reasoning_content: string | null;
 | 
			
		||||
              };
 | 
			
		||||
@@ -224,9 +212,7 @@ export class QwenApi implements LLMApi {
 | 
			
		||||
            } else if (content && content.length > 0) {
 | 
			
		||||
              return {
 | 
			
		||||
                isThinking: false,
 | 
			
		||||
                content: Array.isArray(content)
 | 
			
		||||
                  ? content.map((item) => item.text).join(",")
 | 
			
		||||
                  : content,
 | 
			
		||||
                content: content,
 | 
			
		||||
              };
 | 
			
		||||
            }
 | 
			
		||||
 | 
			
		||||
 
 | 
			
		||||
@@ -75,25 +75,6 @@ export class DeepSeekApi implements LLMApi {
 | 
			
		||||
      }
 | 
			
		||||
    }
 | 
			
		||||
 | 
			
		||||
    // 检测并修复消息顺序,确保除system外的第一个消息是user
 | 
			
		||||
    const filteredMessages: ChatOptions["messages"] = [];
 | 
			
		||||
    let hasFoundFirstUser = false;
 | 
			
		||||
 | 
			
		||||
    for (const msg of messages) {
 | 
			
		||||
      if (msg.role === "system") {
 | 
			
		||||
        // Keep all system messages
 | 
			
		||||
        filteredMessages.push(msg);
 | 
			
		||||
      } else if (msg.role === "user") {
 | 
			
		||||
        // User message directly added
 | 
			
		||||
        filteredMessages.push(msg);
 | 
			
		||||
        hasFoundFirstUser = true;
 | 
			
		||||
      } else if (hasFoundFirstUser) {
 | 
			
		||||
        // After finding the first user message, all subsequent non-system messages are retained.
 | 
			
		||||
        filteredMessages.push(msg);
 | 
			
		||||
      }
 | 
			
		||||
      // If hasFoundFirstUser is false and it is not a system message, it will be skipped.
 | 
			
		||||
    }
 | 
			
		||||
 | 
			
		||||
    const modelConfig = {
 | 
			
		||||
      ...useAppConfig.getState().modelConfig,
 | 
			
		||||
      ...useChatStore.getState().currentSession().mask.modelConfig,
 | 
			
		||||
@@ -104,7 +85,7 @@ export class DeepSeekApi implements LLMApi {
 | 
			
		||||
    };
 | 
			
		||||
 | 
			
		||||
    const requestPayload: RequestPayload = {
 | 
			
		||||
      messages: filteredMessages,
 | 
			
		||||
      messages,
 | 
			
		||||
      stream: options.config.stream,
 | 
			
		||||
      model: modelConfig.model,
 | 
			
		||||
      temperature: modelConfig.temperature,
 | 
			
		||||
 
 | 
			
		||||
@@ -66,11 +66,11 @@ export function Avatar(props: { model?: ModelType; avatar?: string }) {
 | 
			
		||||
      LlmIcon = BotIconGemma;
 | 
			
		||||
    } else if (modelName.startsWith("claude")) {
 | 
			
		||||
      LlmIcon = BotIconClaude;
 | 
			
		||||
    } else if (modelName.includes("llama")) {
 | 
			
		||||
    } else if (modelName.toLowerCase().includes("llama")) {
 | 
			
		||||
      LlmIcon = BotIconMeta;
 | 
			
		||||
    } else if (modelName.startsWith("mixtral") || modelName.startsWith("codestral")) {
 | 
			
		||||
    } else if (modelName.startsWith("mixtral")) {
 | 
			
		||||
      LlmIcon = BotIconMistral;
 | 
			
		||||
    } else if (modelName.includes("deepseek")) {
 | 
			
		||||
    } else if (modelName.toLowerCase().includes("deepseek")) {
 | 
			
		||||
      LlmIcon = BotIconDeepseek;
 | 
			
		||||
    } else if (modelName.startsWith("moonshot")) {
 | 
			
		||||
      LlmIcon = BotIconMoonshot;
 | 
			
		||||
@@ -85,7 +85,7 @@ export function Avatar(props: { model?: ModelType; avatar?: string }) {
 | 
			
		||||
    } else if (modelName.startsWith("doubao") || modelName.startsWith("ep-")) {
 | 
			
		||||
      LlmIcon = BotIconDoubao;
 | 
			
		||||
    } else if (
 | 
			
		||||
      modelName.includes("glm") ||
 | 
			
		||||
      modelName.toLowerCase().includes("glm") ||
 | 
			
		||||
      modelName.startsWith("cogview-") ||
 | 
			
		||||
      modelName.startsWith("cogvideox-")
 | 
			
		||||
    ) {
 | 
			
		||||
 
 | 
			
		||||
@@ -221,12 +221,7 @@ export const ByteDance = {
 | 
			
		||||
 | 
			
		||||
export const Alibaba = {
 | 
			
		||||
  ExampleEndpoint: ALIBABA_BASE_URL,
 | 
			
		||||
  ChatPath: (modelName: string) => {
 | 
			
		||||
    if (modelName.includes("vl") || modelName.includes("omni")) {
 | 
			
		||||
      return "v1/services/aigc/multimodal-generation/generation";
 | 
			
		||||
    }
 | 
			
		||||
    return `v1/services/aigc/text-generation/generation`;
 | 
			
		||||
  },
 | 
			
		||||
  ChatPath: "v1/services/aigc/text-generation/generation",
 | 
			
		||||
};
 | 
			
		||||
 | 
			
		||||
export const Tencent = {
 | 
			
		||||
@@ -540,8 +535,6 @@ const anthropicModels = [
 | 
			
		||||
  "claude-3-5-sonnet-20240620",
 | 
			
		||||
  "claude-3-5-sonnet-20241022",
 | 
			
		||||
  "claude-3-5-sonnet-latest",
 | 
			
		||||
  "claude-3-7-sonnet-20250219",
 | 
			
		||||
  "claude-3-7-sonnet-latest",
 | 
			
		||||
];
 | 
			
		||||
 | 
			
		||||
const baiduModels = [
 | 
			
		||||
@@ -575,9 +568,6 @@ const alibabaModes = [
 | 
			
		||||
  "qwen-max-0403",
 | 
			
		||||
  "qwen-max-0107",
 | 
			
		||||
  "qwen-max-longcontext",
 | 
			
		||||
  "qwen-omni-turbo",
 | 
			
		||||
  "qwen-vl-plus",
 | 
			
		||||
  "qwen-vl-max",
 | 
			
		||||
];
 | 
			
		||||
 | 
			
		||||
const tencentModels = [
 | 
			
		||||
 
 | 
			
		||||
@@ -3,7 +3,7 @@ import {
 | 
			
		||||
  UPLOAD_URL,
 | 
			
		||||
  REQUEST_TIMEOUT_MS,
 | 
			
		||||
} from "@/app/constant";
 | 
			
		||||
import { MultimodalContent, RequestMessage } from "@/app/client/api";
 | 
			
		||||
import { RequestMessage } from "@/app/client/api";
 | 
			
		||||
import Locale from "@/app/locales";
 | 
			
		||||
import {
 | 
			
		||||
  EventStreamContentType,
 | 
			
		||||
@@ -70,9 +70,8 @@ export function compressImage(file: Blob, maxSize: number): Promise<string> {
 | 
			
		||||
  });
 | 
			
		||||
}
 | 
			
		||||
 | 
			
		||||
export async function preProcessImageContentBase(
 | 
			
		||||
export async function preProcessImageContent(
 | 
			
		||||
  content: RequestMessage["content"],
 | 
			
		||||
  transformImageUrl: (url: string) => Promise<{ [key: string]: any }>,
 | 
			
		||||
) {
 | 
			
		||||
  if (typeof content === "string") {
 | 
			
		||||
    return content;
 | 
			
		||||
@@ -82,7 +81,7 @@ export async function preProcessImageContentBase(
 | 
			
		||||
    if (part?.type == "image_url" && part?.image_url?.url) {
 | 
			
		||||
      try {
 | 
			
		||||
        const url = await cacheImageToBase64Image(part?.image_url?.url);
 | 
			
		||||
        result.push(await transformImageUrl(url));
 | 
			
		||||
        result.push({ type: part.type, image_url: { url } });
 | 
			
		||||
      } catch (error) {
 | 
			
		||||
        console.error("Error processing image URL:", error);
 | 
			
		||||
      }
 | 
			
		||||
@@ -93,23 +92,6 @@ export async function preProcessImageContentBase(
 | 
			
		||||
  return result;
 | 
			
		||||
}
 | 
			
		||||
 | 
			
		||||
export async function preProcessImageContent(
 | 
			
		||||
  content: RequestMessage["content"],
 | 
			
		||||
) {
 | 
			
		||||
  return preProcessImageContentBase(content, async (url) => ({
 | 
			
		||||
    type: "image_url",
 | 
			
		||||
    image_url: { url },
 | 
			
		||||
  })) as Promise<MultimodalContent[] | string>;
 | 
			
		||||
}
 | 
			
		||||
 | 
			
		||||
export async function preProcessImageContentForAlibabaDashScope(
 | 
			
		||||
  content: RequestMessage["content"],
 | 
			
		||||
) {
 | 
			
		||||
  return preProcessImageContentBase(content, async (url) => ({
 | 
			
		||||
    image: url,
 | 
			
		||||
  }));
 | 
			
		||||
}
 | 
			
		||||
 | 
			
		||||
const imageCaches: Record<string, string> = {};
 | 
			
		||||
export function cacheImageToBase64Image(imageUrl: string) {
 | 
			
		||||
  if (imageUrl.includes(CACHE_URL_PREFIX)) {
 | 
			
		||||
 
 | 
			
		||||
@@ -15,8 +15,6 @@ const config: Config = {
 | 
			
		||||
  moduleNameMapper: {
 | 
			
		||||
    "^@/(.*)$": "<rootDir>/$1",
 | 
			
		||||
  },
 | 
			
		||||
  extensionsToTreatAsEsm: [".ts", ".tsx"],
 | 
			
		||||
  injectGlobals: true,
 | 
			
		||||
};
 | 
			
		||||
 | 
			
		||||
// createJestConfig is exported this way to ensure that next/jest can load the Next.js config which is async
 | 
			
		||||
 
 | 
			
		||||
@@ -1,22 +1,24 @@
 | 
			
		||||
// Learn more: https://github.com/testing-library/jest-dom
 | 
			
		||||
import "@testing-library/jest-dom";
 | 
			
		||||
import { jest } from "@jest/globals";
 | 
			
		||||
 | 
			
		||||
global.fetch = jest.fn(() =>
 | 
			
		||||
  Promise.resolve({
 | 
			
		||||
    ok: true,
 | 
			
		||||
    status: 200,
 | 
			
		||||
    json: () => Promise.resolve([]),
 | 
			
		||||
    json: () => Promise.resolve({}),
 | 
			
		||||
    headers: new Headers(),
 | 
			
		||||
    redirected: false,
 | 
			
		||||
    statusText: "OK",
 | 
			
		||||
    type: "basic",
 | 
			
		||||
    url: "",
 | 
			
		||||
    clone: function () {
 | 
			
		||||
      return this;
 | 
			
		||||
    },
 | 
			
		||||
    body: null,
 | 
			
		||||
    bodyUsed: false,
 | 
			
		||||
    arrayBuffer: () => Promise.resolve(new ArrayBuffer(0)),
 | 
			
		||||
    blob: () => Promise.resolve(new Blob()),
 | 
			
		||||
    formData: () => Promise.resolve(new FormData()),
 | 
			
		||||
    text: () => Promise.resolve(""),
 | 
			
		||||
  } as Response),
 | 
			
		||||
  }),
 | 
			
		||||
);
 | 
			
		||||
 
 | 
			
		||||
@@ -17,8 +17,8 @@
 | 
			
		||||
    "prompts": "node ./scripts/fetch-prompts.mjs",
 | 
			
		||||
    "prepare": "husky install",
 | 
			
		||||
    "proxy-dev": "sh ./scripts/init-proxy.sh && proxychains -f ./scripts/proxychains.conf yarn dev",
 | 
			
		||||
    "test": "node --no-warnings --experimental-vm-modules $(yarn bin jest) --watch",
 | 
			
		||||
    "test:ci": "node --no-warnings --experimental-vm-modules $(yarn bin jest) --ci"
 | 
			
		||||
    "test": "jest --watch",
 | 
			
		||||
    "test:ci": "jest --ci"
 | 
			
		||||
  },
 | 
			
		||||
  "dependencies": {
 | 
			
		||||
    "@fortaine/fetch-event-source": "^3.0.6",
 | 
			
		||||
 
 | 
			
		||||
@@ -2,16 +2,16 @@
 | 
			
		||||
  {
 | 
			
		||||
    "id": "dalle3",
 | 
			
		||||
    "name": "Dalle3",
 | 
			
		||||
    "schema": "https://ghfast.top/https://raw.githubusercontent.com/ChatGPTNextWeb/NextChat-Awesome-Plugins/main/plugins/dalle/openapi.json"
 | 
			
		||||
    "schema": "https://ghp.ci/https://raw.githubusercontent.com/ChatGPTNextWeb/NextChat-Awesome-Plugins/main/plugins/dalle/openapi.json"
 | 
			
		||||
  },
 | 
			
		||||
  {
 | 
			
		||||
    "id": "arxivsearch",
 | 
			
		||||
    "name": "ArxivSearch",
 | 
			
		||||
    "schema": "https://ghfast.top/https://raw.githubusercontent.com/ChatGPTNextWeb/NextChat-Awesome-Plugins/main/plugins/arxivsearch/openapi.json"
 | 
			
		||||
    "schema": "https://ghp.ci/https://raw.githubusercontent.com/ChatGPTNextWeb/NextChat-Awesome-Plugins/main/plugins/arxivsearch/openapi.json"
 | 
			
		||||
  },
 | 
			
		||||
  {
 | 
			
		||||
    "id": "duckduckgolite",
 | 
			
		||||
    "name": "DuckDuckGoLiteSearch",
 | 
			
		||||
    "schema": "https://ghfast.top/https://raw.githubusercontent.com/ChatGPTNextWeb/NextChat-Awesome-Plugins/main/plugins/duckduckgolite/openapi.json"
 | 
			
		||||
    "schema": "https://ghp.ci/https://raw.githubusercontent.com/ChatGPTNextWeb/NextChat-Awesome-Plugins/main/plugins/duckduckgolite/openapi.json"
 | 
			
		||||
  }
 | 
			
		||||
]
 | 
			
		||||
 
 | 
			
		||||
@@ -1,4 +1,3 @@
 | 
			
		||||
import { jest } from "@jest/globals";
 | 
			
		||||
import { isVisionModel } from "../app/utils";
 | 
			
		||||
 | 
			
		||||
describe("isVisionModel", () => {
 | 
			
		||||
@@ -51,7 +50,7 @@ describe("isVisionModel", () => {
 | 
			
		||||
 | 
			
		||||
  test("should identify models from VISION_MODELS env var", () => {
 | 
			
		||||
    process.env.VISION_MODELS = "custom-vision-model,another-vision-model";
 | 
			
		||||
 | 
			
		||||
    
 | 
			
		||||
    expect(isVisionModel("custom-vision-model")).toBe(true);
 | 
			
		||||
    expect(isVisionModel("another-vision-model")).toBe(true);
 | 
			
		||||
    expect(isVisionModel("unrelated-model")).toBe(false);
 | 
			
		||||
@@ -65,4 +64,4 @@ describe("isVisionModel", () => {
 | 
			
		||||
    expect(isVisionModel("unrelated-model")).toBe(false);
 | 
			
		||||
    expect(isVisionModel("gpt-4-vision")).toBe(true);
 | 
			
		||||
  });
 | 
			
		||||
});
 | 
			
		||||
});
 | 
			
		||||
		Reference in New Issue
	
	Block a user