Merge 18bebf58e9 into 3809375694

Support OpenAI o3 and o4-mini

README.md

@@ -7,7 +7,7 @@
 
 
 
-<h1 align="center">NextChat (ChatGPT Next Web)</h1>
+<h1 align="center">NextChat</h1>
 
 English / [简体中文](./README_CN.md)
 
@@ -22,8 +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)
+[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) 
 
 
 [saas-url]: https://nextchat.club?utm_source=readme
@@ -41,31 +40,14 @@ English / [简体中文](./README_CN.md)
 
 </div>
 
-## 👋 Hey, NextChat is going to develop a native app!
+## 🥳 Cheer for NextChat iOS Version Online!
+> [👉 Click Here to Install Now](https://apps.apple.com/us/app/nextchat-ai/id6743085599)
 
-> 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!
+> [❤️ Source Code Coming Soon](https://github.com/ChatGPTNextWeb/NextChat-iOS)
 
+![Github iOS Image](https://github.com/user-attachments/assets/e0aa334f-4c13-4dc9-8310-e3b09fa4b9f3)
 
-✨ Several key points:
-
-- Starting from 0, you are a veteran
-- Completely open source, not hidden
-- Native development, pursuing the ultimate experience
-
-Will you come and do something together? 😎
-
-https://github.com/ChatGPTNextWeb/NextChat/issues/6269
-
-#Seeking for talents is thirsty #lack of people
-
-
-## 🥳 Cheer for DeepSeek, China's AI star!
- > Purpose-Built UI for DeepSeek Reasoner Model
  
-<img src="https://github.com/user-attachments/assets/f3952210-3af1-4dc0-9b81-40eaa4847d9a"/>
-
-
-
 ## 🫣 NextChat Support MCP  ! 
 > Before build, please set env ENABLE_MCP=true
 

app/client/api.ts

@@ -40,6 +40,11 @@ export interface MultimodalContent {
   };
 }
 
+export interface MultimodalContentForAlibaba {
+  text?: string;
+  image?: string;
+}
+
 export interface RequestMessage {
   role: MessageRole;
   content: string | MultimodalContent[];

app/client/platforms/alibaba.ts

@@ -7,7 +7,10 @@ import {
   ChatMessageTool,
   usePluginStore,
 } from "@/app/store";
-import { streamWithThink } from "@/app/utils/chat";
+import {
+  preProcessImageContentForAlibabaDashScope,
+  streamWithThink,
+} from "@/app/utils/chat";
 import {
   ChatOptions,
   getHeaders,
@@ -15,12 +18,14 @@ import {
   LLMModel,
   SpeechOptions,
   MultimodalContent,
+  MultimodalContentForAlibaba,
 } from "../api";
 import { getClientConfig } from "@/app/config/client";
 import {
   getMessageTextContent,
   getMessageTextContentWithoutThinking,
   getTimeoutMSByModel,
+  isVisionModel,
 } from "@/app/utils";
 import { fetch } from "@/app/utils/stream";
 
@@ -89,14 +94,6 @@ export class QwenApi implements LLMApi {
   }
 
   async chat(options: ChatOptions) {
-    const messages = options.messages.map((v) => ({
-      role: v.role,
-      content:
-        v.role === "assistant"
-          ? getMessageTextContentWithoutThinking(v)
-          : getMessageTextContent(v),
-    }));
-
     const modelConfig = {
       ...useAppConfig.getState().modelConfig,
       ...useChatStore.getState().currentSession().mask.modelConfig,
@@ -105,6 +102,21 @@ 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,
@@ -129,7 +141,7 @@ export class QwenApi implements LLMApi {
         "X-DashScope-SSE": shouldStream ? "enable" : "disable",
       };
 
-      const chatPath = this.path(Alibaba.ChatPath);
+      const chatPath = this.path(Alibaba.ChatPath(modelConfig.model));
       const chatPayload = {
         method: "POST",
         body: JSON.stringify(requestPayload),
@@ -162,7 +174,7 @@ export class QwenApi implements LLMApi {
             const json = JSON.parse(text);
             const choices = json.output.choices as Array<{
               message: {
-                content: string | null;
+                content: string | null | MultimodalContentForAlibaba[];
                 tool_calls: ChatMessageTool[];
                 reasoning_content: string | null;
               };
@@ -212,7 +224,9 @@ export class QwenApi implements LLMApi {
             } else if (content && content.length > 0) {
               return {
                 isThinking: false,
-                content: content,
+                content: Array.isArray(content)
+                  ? content.map((item) => item.text).join(",")
+                  : content,
               };
             }
 

app/client/platforms/openai.ts

@@ -198,7 +198,8 @@ export class ChatGPTApi implements LLMApi {
     const isDalle3 = _isDalle3(options.config.model);
     const isO1OrO3 =
       options.config.model.startsWith("o1") ||
-      options.config.model.startsWith("o3");
+      options.config.model.startsWith("o3") ||
+      options.config.model.startsWith("o4-mini");
     if (isDalle3) {
       const prompt = getMessageTextContent(
         options.messages.slice(-1)?.pop() as any,
@@ -243,7 +244,7 @@ export class ChatGPTApi implements LLMApi {
       }
 
       // add max_tokens to vision model
-      if (visionModel) {
+      if (visionModel && !isO1OrO3) {
         requestPayload["max_tokens"] = Math.max(modelConfig.max_tokens, 4000);
       }
     }

app/components/mcp-market.tsx

@@ -23,10 +23,12 @@ import {
 } from "../mcp/actions";
 import {
   ListToolsResponse,
+  ToolSchema,
   McpConfigData,
   PresetServer,
   ServerConfig,
   ServerStatusResponse,
+  isServerStdioConfig,
 } from "../mcp/types";
 import clsx from "clsx";
 import PlayIcon from "../icons/play.svg";
@@ -46,7 +48,7 @@ export function McpMarketPage() {
   const [searchText, setSearchText] = useState("");
   const [userConfig, setUserConfig] = useState<Record<string, any>>({});
   const [editingServerId, setEditingServerId] = useState<string | undefined>();
-  const [tools, setTools] = useState<ListToolsResponse["tools"] | null>(null);
+  const [tools, setTools] = useState<ListToolsResponse | null>(null);
   const [viewingServerId, setViewingServerId] = useState<string | undefined>();
   const [isLoading, setIsLoading] = useState(false);
   const [config, setConfig] = useState<McpConfigData>();
@@ -136,7 +138,7 @@ export function McpMarketPage() {
   useEffect(() => {
     if (!editingServerId || !config) return;
     const currentConfig = config.mcpServers[editingServerId];
-    if (currentConfig) {
+    if (isServerStdioConfig(currentConfig)) {
       // 从当前配置中提取用户配置
       const preset = presetServers.find((s) => s.id === editingServerId);
       if (preset?.configSchema) {
@@ -732,16 +734,14 @@ export function McpMarketPage() {
                 {isLoading ? (
                   <div>Loading...</div>
                 ) : tools?.tools ? (
-                  tools.tools.map(
-                    (tool: ListToolsResponse["tools"], index: number) => (
-                      <div key={index} className={styles["tool-item"]}>
-                        <div className={styles["tool-name"]}>{tool.name}</div>
-                        <div className={styles["tool-description"]}>
-                          {tool.description}
-                        </div>
+                  tools.tools.map((tool: ToolSchema, index: number) => (
+                    <div key={index} className={styles["tool-item"]}>
+                      <div className={styles["tool-name"]}>{tool.name}</div>
+                      <div className={styles["tool-description"]}>
+                        {tool.description}
                       </div>
-                    ),
-                  )
+                    </div>
+                  ))
                 ) : (
                   <div>No tools available</div>
                 )}

app/config/build.ts

@@ -40,6 +40,17 @@ export const getBuildConfig = () => {
     buildMode,
     isApp,
     template: process.env.DEFAULT_INPUT_TEMPLATE ?? DEFAULT_INPUT_TEMPLATE,
+
+    needCode: !!process.env.CODE,
+    hideUserApiKey: !!process.env.HIDE_USER_API_KEY,
+    baseUrl: process.env.BASE_URL,
+    openaiUrl: process.env.OPENAI_BASE_URL ?? process.env.BASE_URL,
+    disableGPT4: !!process.env.DISABLE_GPT4,
+    useCustomConfig: !!process.env.USE_CUSTOM_CONFIG,
+    hideBalanceQuery: !process.env.ENABLE_BALANCE_QUERY,
+    disableFastLink: !!process.env.DISABLE_FAST_LINK,
+    defaultModel: process.env.DEFAULT_MODEL ?? "",
+    enableMcp: process.env.ENABLE_MCP === "true",
   };
 };
 

app/constant.ts

@@ -221,7 +221,12 @@ export const ByteDance = {
 
 export const Alibaba = {
   ExampleEndpoint: ALIBABA_BASE_URL,
-  ChatPath: "v1/services/aigc/text-generation/generation",
+  ChatPath: (modelName: string) => {
+    if (modelName.includes("vl") || modelName.includes("omni")) {
+      return "v1/services/aigc/multimodal-generation/generation";
+    }
+    return `v1/services/aigc/text-generation/generation`;
+  },
 };
 
 export const Tencent = {
@@ -412,6 +417,14 @@ export const KnowledgeCutOffDate: Record<string, string> = {
   "gpt-4-turbo": "2023-12",
   "gpt-4-turbo-2024-04-09": "2023-12",
   "gpt-4-turbo-preview": "2023-12",
+  "gpt-4.1": "2024-06",
+  "gpt-4.1-2025-04-14": "2024-06",
+  "gpt-4.1-mini": "2024-06",
+  "gpt-4.1-mini-2025-04-14": "2024-06",
+  "gpt-4.1-nano": "2024-06",
+  "gpt-4.1-nano-2025-04-14": "2024-06",
+  "gpt-4.5-preview": "2023-10",
+  "gpt-4.5-preview-2025-02-27": "2023-10",
   "gpt-4o": "2023-10",
   "gpt-4o-2024-05-13": "2023-10",
   "gpt-4o-2024-08-06": "2023-10",
@@ -453,6 +466,7 @@ export const DEFAULT_TTS_VOICES = [
 export const VISION_MODEL_REGEXES = [
   /vision/,
   /gpt-4o/,
+  /gpt-4\.1/,
   /claude-3/,
   /gemini-1\.5/,
   /gemini-exp/,
@@ -464,6 +478,8 @@ export const VISION_MODEL_REGEXES = [
   /^dall-e-3$/, // Matches exactly "dall-e-3"
   /glm-4v/,
   /vl/i,
+  /o3/,
+  /o4-mini/,
 ];
 
 export const EXCLUDE_VISION_MODEL_REGEXES = [/claude-3-5-haiku-20241022/];
@@ -480,6 +496,14 @@ const openaiModels = [
   "gpt-4-32k-0613",
   "gpt-4-turbo",
   "gpt-4-turbo-preview",
+  "gpt-4.1",
+  "gpt-4.1-2025-04-14",
+  "gpt-4.1-mini",
+  "gpt-4.1-mini-2025-04-14",
+  "gpt-4.1-nano",
+  "gpt-4.1-nano-2025-04-14",
+  "gpt-4.5-preview",
+  "gpt-4.5-preview-2025-02-27",
   "gpt-4o",
   "gpt-4o-2024-05-13",
   "gpt-4o-2024-08-06",
@@ -494,6 +518,8 @@ const openaiModels = [
   "o1-mini",
   "o1-preview",
   "o3-mini",
+  "o3",
+  "o4-mini",
 ];
 
 const googleModels = [
@@ -570,6 +596,9 @@ const alibabaModes = [
   "qwen-max-0403",
   "qwen-max-0107",
   "qwen-max-longcontext",
+  "qwen-omni-turbo",
+  "qwen-vl-plus",
+  "qwen-vl-max",
 ];
 
 const tencentModels = [

app/mcp/actions.ts

@@ -1,4 +1,6 @@
-"use server";
+if (!EXPORT_MODE) {
+  ("use server");
+}
 import {
   createClient,
   executeRequest,
@@ -14,12 +16,17 @@ import {
   ServerConfig,
   ServerStatusResponse,
 } from "./types";
-import fs from "fs/promises";
-import path from "path";
-import { getServerSideConfig } from "../config/server";
 
 const logger = new MCPClientLogger("MCP Actions");
-const CONFIG_PATH = path.join(process.cwd(), "app/mcp/mcp_config.json");
+
+const getConfigPath = async () => {
+  if (EXPORT_MODE) {
+    return "/mcp/config.json";
+  } else {
+    const path = await import("path");
+    return path.join(process.cwd(), "app/mcp/mcp_config.json");
+  }
+};
 
 const clientsMap = new Map<string, McpClientData>();
 
@@ -339,7 +346,14 @@ export async function executeMcpAction(
   request: McpRequestMessage,
 ) {
   try {
-    const client = clientsMap.get(clientId);
+    let client = clientsMap.get(clientId);
+    if (!client) {
+      client = [...clientsMap.values()].find(
+        (c) =>
+          c.tools?.tools &&
+          c.tools.tools.find((t) => t.name == request.params?.name),
+      );
+    }
     if (!client?.client) {
       throw new Error(`Client ${clientId} not found`);
     }
@@ -354,8 +368,28 @@ export async function executeMcpAction(
 // 获取 MCP 配置文件
 export async function getMcpConfigFromFile(): Promise<McpConfigData> {
   try {
-    const configStr = await fs.readFile(CONFIG_PATH, "utf-8");
-    return JSON.parse(configStr);
+    if (EXPORT_MODE) {
+      const res = await fetch(await getConfigPath());
+      const config: McpConfigData = await res.json();
+      const storage = localStorage;
+      const storedConfig_str = storage.getItem("McpConfig");
+      if (storedConfig_str) {
+        const storedConfig: McpConfigData = JSON.parse(storedConfig_str);
+        const merged = { ...config.mcpServers };
+        if (storedConfig.mcpServers) {
+          for (const id in storedConfig.mcpServers) {
+            merged[id] = { ...merged[id], ...storedConfig.mcpServers[id] };
+          }
+        }
+
+        config.mcpServers = merged;
+      }
+      return config;
+    } else {
+      const fs = await import("fs/promises");
+      const configStr = await fs.readFile(await getConfigPath(), "utf-8");
+      return JSON.parse(configStr);
+    }
   } catch (error) {
     logger.error(`Failed to load MCP config, using default config: ${error}`);
     return DEFAULT_MCP_CONFIG;
@@ -366,8 +400,25 @@ export async function getMcpConfigFromFile(): Promise<McpConfigData> {
 async function updateMcpConfig(config: McpConfigData): Promise<void> {
   try {
     // 确保目录存在
-    await fs.mkdir(path.dirname(CONFIG_PATH), { recursive: true });
-    await fs.writeFile(CONFIG_PATH, JSON.stringify(config, null, 2));
+    if (EXPORT_MODE) {
+      try {
+        const storage = localStorage;
+        storage.setItem("McpConfig", JSON.stringify(config));
+      } catch (storageError) {
+        logger.warn(
+          `Failed to save MCP config to localStorage: ${storageError}`,
+        );
+        // Continue execution without storage
+      }
+    } else {
+      const fs = await import("fs/promises");
+      const path = await import("path");
+      await fs.mkdir(path.dirname(await getConfigPath()), { recursive: true });
+      await fs.writeFile(
+        await getConfigPath(),
+        JSON.stringify(config, null, 2),
+      );
+    }
   } catch (error) {
     throw error;
   }
@@ -376,8 +427,19 @@ async function updateMcpConfig(config: McpConfigData): Promise<void> {
 // 检查 MCP 是否启用
 export async function isMcpEnabled() {
   try {
-    const serverConfig = getServerSideConfig();
-    return serverConfig.enableMcp;
+    const config = await getMcpConfigFromFile();
+    if (typeof config.enableMcp === "boolean") {
+      return config.enableMcp;
+    }
+    if (EXPORT_MODE) {
+      const { getClientConfig } = await import("../config/client");
+      const clientConfig = getClientConfig();
+      return clientConfig?.enableMcp === true;
+    } else {
+      const { getServerSideConfig } = await import("../config/server");
+      const serverConfig = getServerSideConfig();
+      return serverConfig.enableMcp;
+    }
   } catch (error) {
     logger.error(`Failed to check MCP status: ${error}`);
     return false;

app/mcp/client.ts

@@ -1,7 +1,11 @@
 import { Client } from "@modelcontextprotocol/sdk/client/index.js";
-import { StdioClientTransport } from "@modelcontextprotocol/sdk/client/stdio.js";
 import { MCPClientLogger } from "./logger";
-import { ListToolsResponse, McpRequestMessage, ServerConfig } from "./types";
+import {
+  ListToolsResponse,
+  McpRequestMessage,
+  ServerConfig,
+  isServerSseConfig,
+} from "./types";
 import { z } from "zod";
 
 const logger = new MCPClientLogger();
@@ -12,18 +16,34 @@ export async function createClient(
 ): Promise<Client> {
   logger.info(`Creating client for ${id}...`);
 
-  const transport = new StdioClientTransport({
-    command: config.command,
-    args: config.args,
-    env: {
-      ...Object.fromEntries(
-        Object.entries(process.env)
-          .filter(([_, v]) => v !== undefined)
-          .map(([k, v]) => [k, v as string]),
-      ),
-      ...(config.env || {}),
-    },
-  });
+  let transport;
+
+  if (isServerSseConfig(config)) {
+    const { SSEClientTransport } = await import(
+      "@modelcontextprotocol/sdk/client/sse.js"
+    );
+    transport = new SSEClientTransport(new URL(config.url));
+  } else {
+    if (EXPORT_MODE) {
+      throw new Error("Cannot use stdio transport in export mode");
+    } else {
+      const { StdioClientTransport } = await import(
+        "@modelcontextprotocol/sdk/client/stdio.js"
+      );
+      transport = new StdioClientTransport({
+        command: config.command,
+        args: config.args,
+        env: {
+          ...Object.fromEntries(
+            Object.entries(process.env)
+              .filter(([_, v]) => v !== undefined)
+              .map(([k, v]) => [k, v as string]),
+          ),
+          ...(config.env || {}),
+        },
+      });
+    }
+  }
 
   const client = new Client(
     {

app/mcp/types.ts

@@ -8,6 +8,7 @@ export interface McpRequestMessage {
   id?: string | number;
   method: "tools/call" | string;
   params?: {
+    name?: string;
     [key: string]: unknown;
   };
 }
@@ -65,12 +66,14 @@ export const McpNotificationsSchema: z.ZodType<McpNotifications> = z.object({
 // Next Chat
 ////////////
 export interface ListToolsResponse {
-  tools: {
-    name?: string;
-    description?: string;
-    inputSchema?: object;
-    [key: string]: any;
-  };
+  tools: ToolSchema[];
+}
+
+export interface ToolSchema {
+  name?: string;
+  description?: string;
+  inputSchema?: object;
+  [key: string]: any;
 }
 
 export type McpClientData =
@@ -110,14 +113,31 @@ export interface ServerStatusResponse {
 }
 
 // MCP 服务器配置相关类型
-export interface ServerConfig {
+
+export const isServerSseConfig = (c?: ServerConfig): c is ServerSseConfig =>
+  c !== null && typeof c === "object" && c.type === "sse";
+export const isServerStdioConfig = (c?: ServerConfig): c is ServerStdioConfig =>
+  c !== null && typeof c === "object" && (!c.type || c.type === "stdio");
+
+export type ServerConfig = ServerStdioConfig | ServerSseConfig;
+
+export interface ServerStdioConfig {
+  type?: "stdio";
   command: string;
   args: string[];
   env?: Record<string, string>;
   status?: "active" | "paused" | "error";
 }
 
+export interface ServerSseConfig {
+  type: "sse";
+  url: string;
+  headers?: Record<string, string>;
+  status?: "active" | "paused" | "error";
+}
+
 export interface McpConfigData {
+  enableMcp?: boolean;
   // MCP Server 的配置
   mcpServers: Record<string, ServerConfig>;
 }

app/store/access.ts

@@ -243,7 +243,12 @@ export const useAccessStore = createPersistStore(
       );
     },
     fetch() {
-      if (fetchState > 0 || getClientConfig()?.buildMode === "export") return;
+      const clientConfig = getClientConfig();
+      if (!(fetchState > 0) && clientConfig?.buildMode === "export") {
+        set(clientConfig);
+        fetchState = 2;
+      }
+      if (fetchState > 0 || clientConfig?.buildMode === "export") return;
       fetchState = 1;
       fetch("/api/config", {
         method: "post",

app/typing.ts

@@ -1,3 +1,7 @@
+declare global {
+  const EXPORT_MODE: boolean;
+}
+
 export type Updater<T> = (updater: (value: T) => void) => void;
 
 export const ROLES = ["system", "user", "assistant"] as const;

app/utils/chat.ts

@@ -3,7 +3,7 @@ import {
   UPLOAD_URL,
   REQUEST_TIMEOUT_MS,
 } from "@/app/constant";
-import { RequestMessage } from "@/app/client/api";
+import { MultimodalContent, RequestMessage } from "@/app/client/api";
 import Locale from "@/app/locales";
 import {
   EventStreamContentType,
@@ -70,8 +70,9 @@ export function compressImage(file: Blob, maxSize: number): Promise<string> {
   });
 }
 
-export async function preProcessImageContent(
+export async function preProcessImageContentBase(
   content: RequestMessage["content"],
+  transformImageUrl: (url: string) => Promise<{ [key: string]: any }>,
 ) {
   if (typeof content === "string") {
     return content;
@@ -81,7 +82,7 @@ export async function preProcessImageContent(
     if (part?.type == "image_url" && part?.image_url?.url) {
       try {
         const url = await cacheImageToBase64Image(part?.image_url?.url);
-        result.push({ type: part.type, image_url: { url } });
+        result.push(await transformImageUrl(url));
       } catch (error) {
         console.error("Error processing image URL:", error);
       }
@@ -92,6 +93,23 @@ export async function preProcessImageContent(
   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)) {

jest.config.ts

@@ -15,6 +15,8 @@ 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

jest.setup.ts

@@ -1,24 +1,22 @@
 // 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),
 );

next.config.mjs

@@ -6,9 +6,15 @@ console.log("[Next] build mode", mode);
 const disableChunk = !!process.env.DISABLE_CHUNK || mode === "export";
 console.log("[Next] build with chunk: ", !disableChunk);
 
+const EXPORT_MODE = mode === "export";
+
+
 /** @type {import('next').NextConfig} */
 const nextConfig = {
   webpack(config) {
+    config.plugins.push(new webpack.DefinePlugin({
+      EXPORT_MODE: EXPORT_MODE
+    }));
     config.module.rules.push({
       test: /\.svg$/,
       use: ["@svgr/webpack"],

package.json

@@ -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": "jest --watch",
-    "test:ci": "jest --ci"
+    "test": "node --no-warnings --experimental-vm-modules $(yarn bin jest) --watch",
+    "test:ci": "node --no-warnings --experimental-vm-modules $(yarn bin jest) --ci"
   },
   "dependencies": {
     "@fortaine/fetch-event-source": "^3.0.6",

test/vision-model-checker.test.ts

@@ -1,3 +1,4 @@
+import { jest } from "@jest/globals";
 import { isVisionModel } from "../app/utils";
 
 describe("isVisionModel", () => {
@@ -50,7 +51,7 @@ 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);
@@ -64,4 +65,4 @@ describe("isVisionModel", () => {
     expect(isVisionModel("unrelated-model")).toBe(false);
     expect(isVisionModel("gpt-4-vision")).toBe(true);
   });
-});
+});