Merge 62d32f317d into 3809375694

.env.template

@@ -81,9 +81,3 @@ SILICONFLOW_API_KEY=
 
 ### siliconflow Api url (optional)
 SILICONFLOW_URL=
-
-### 302.AI Api key (optional)
-AI302_API_KEY=
-
-### 302.AI Api url (optional)
-AI302_URL=

README.md

@@ -4,11 +4,7 @@
   <img src="https://github.com/user-attachments/assets/83bdcc07-ae5e-4954-a53a-ac151ba6ccf3" width="1000" alt="icon"/>
 </a>
 
-<a href='https://302.ai/'>
-  <img src="./docs/images/302AI-banner-en.jpg" width=400 alt="icon"/>
-</a>
 
-[302.AI](https://302.ai/) is a pay-as-you-go AI application platform that offers the most comprehensive AI APIs and online applications available.
 
 
 <h1 align="center">NextChat</h1>
@@ -26,12 +22,12 @@ English / [简体中文](./README_CN.md)
 [![MacOS][MacOS-image]][download-url]
 [![Linux][Linux-image]][download-url]
 
-[NextChatAI](https://nextchat.club?utm_source=readme) / [iOS APP](https://apps.apple.com/us/app/nextchat-ai/id6743085599) / [Web App Demo](https://app.nextchat.club) / [Desktop App](https://github.com/Yidadaa/ChatGPT-Next-Web/releases) / [Enterprise Edition](#enterprise-edition) 
+[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
 [saas-image]: https://img.shields.io/badge/NextChat-Saas-green?logo=microsoftedge
-[web-url]: https://app.nextchat.club/
+[web-url]: https://app.nextchat.dev/
 [download-url]: https://github.com/Yidadaa/ChatGPT-Next-Web/releases
 [Web-image]: https://img.shields.io/badge/Web-PWA-orange?logo=microsoftedge
 [Windows-image]: https://img.shields.io/badge/-Windows-blue?logo=windows

README_CN.md

@@ -4,12 +4,6 @@
   <img src="./docs/images/ent.svg" alt="icon"/>
 </a>
 
-<a href='https://302.ai/'>
-  <img src="./docs/images/302AI-banner-zh.jpg" width=400 alt="icon"/>
-</a>
-
-[302.AI](https://302.ai/) 是一个按需付费的AI应用平台，提供市面上最全的AI API和AI在线应用。
-
 <h1 align="center">NextChat</h1>
 
 一键免费部署你的私人 ChatGPT 网页应用，支持 Claude, GPT4 & Gemini Pro 模型。

README_JA.md

@@ -1,12 +1,6 @@
 <div align="center">
 <img src="./docs/images/ent.svg" alt="プレビュー"/>
 
-<a href='https://302.ai/'>
-  <img src="./docs/images/302AI-banner-jp.jpg" width=400 alt="icon"/>
-</a>
-
-[302.AI](https://302.ai/) は、オンデマンドで支払うAIアプリケーションプラットフォームで、最も安全なAI APIとAIオンラインアプリケーションを提供します。 
-
 <h1 align="center">NextChat</h1>
 
 ワンクリックで無料であなた専用の ChatGPT ウェブアプリをデプロイ。GPT3、GPT4 & Gemini Pro モデルをサポート。

app/api/302ai.ts

@@ -1,128 +0,0 @@
-import { getServerSideConfig } from "@/app/config/server";
-import {
-  AI302_BASE_URL,
-  ApiPath,
-  ModelProvider,
-  ServiceProvider,
-} from "@/app/constant";
-import { prettyObject } from "@/app/utils/format";
-import { NextRequest, NextResponse } from "next/server";
-import { auth } from "@/app/api/auth";
-import { isModelNotavailableInServer } from "@/app/utils/model";
-
-const serverConfig = getServerSideConfig();
-
-export async function handle(
-  req: NextRequest,
-  { params }: { params: { path: string[] } },
-) {
-  console.log("[302.AI Route] params ", params);
-
-  if (req.method === "OPTIONS") {
-    return NextResponse.json({ body: "OK" }, { status: 200 });
-  }
-
-  const authResult = auth(req, ModelProvider["302.AI"]);
-  if (authResult.error) {
-    return NextResponse.json(authResult, {
-      status: 401,
-    });
-  }
-
-  try {
-    const response = await request(req);
-    return response;
-  } catch (e) {
-    console.error("[302.AI] ", e);
-    return NextResponse.json(prettyObject(e));
-  }
-}
-
-async function request(req: NextRequest) {
-  const controller = new AbortController();
-
-  // alibaba use base url or just remove the path
-  let path = `${req.nextUrl.pathname}`.replaceAll(ApiPath["302.AI"], "");
-
-  let baseUrl = serverConfig.ai302Url || AI302_BASE_URL;
-
-  if (!baseUrl.startsWith("http")) {
-    baseUrl = `https://${baseUrl}`;
-  }
-
-  if (baseUrl.endsWith("/")) {
-    baseUrl = baseUrl.slice(0, -1);
-  }
-
-  console.log("[Proxy] ", path);
-  console.log("[Base Url]", baseUrl);
-
-  const timeoutId = setTimeout(
-    () => {
-      controller.abort();
-    },
-    10 * 60 * 1000,
-  );
-
-  const fetchUrl = `${baseUrl}${path}`;
-  const fetchOptions: RequestInit = {
-    headers: {
-      "Content-Type": "application/json",
-      Authorization: req.headers.get("Authorization") ?? "",
-    },
-    method: req.method,
-    body: req.body,
-    redirect: "manual",
-    // @ts-ignore
-    duplex: "half",
-    signal: controller.signal,
-  };
-
-  // #1815 try to refuse some request to some models
-  if (serverConfig.customModels && req.body) {
-    try {
-      const clonedBody = await req.text();
-      fetchOptions.body = clonedBody;
-
-      const jsonBody = JSON.parse(clonedBody) as { model?: string };
-
-      // not undefined and is false
-      if (
-        isModelNotavailableInServer(
-          serverConfig.customModels,
-          jsonBody?.model as string,
-          ServiceProvider["302.AI"] as string,
-        )
-      ) {
-        return NextResponse.json(
-          {
-            error: true,
-            message: `you are not allowed to use ${jsonBody?.model} model`,
-          },
-          {
-            status: 403,
-          },
-        );
-      }
-    } catch (e) {
-      console.error(`[302.AI] filter`, e);
-    }
-  }
-  try {
-    const res = await fetch(fetchUrl, fetchOptions);
-
-    // to prevent browser prompt for credentials
-    const newHeaders = new Headers(res.headers);
-    newHeaders.delete("www-authenticate");
-    // to disable nginx buffering
-    newHeaders.set("X-Accel-Buffering", "no");
-
-    return new Response(res.body, {
-      status: res.status,
-      statusText: res.statusText,
-      headers: newHeaders,
-    });
-  } finally {
-    clearTimeout(timeoutId);
-  }
-}

app/api/[provider]/[...path]/route.ts

@@ -15,7 +15,6 @@ import { handle as siliconflowHandler } from "../../siliconflow";
 import { handle as xaiHandler } from "../../xai";
 import { handle as chatglmHandler } from "../../glm";
 import { handle as proxyHandler } from "../../proxy";
-import { handle as ai302Handler } from "../../302ai";
 
 async function handle(
   req: NextRequest,
@@ -53,8 +52,6 @@ async function handle(
       return siliconflowHandler(req, { params });
     case ApiPath.OpenAI:
       return openaiHandler(req, { params });
-    case ApiPath["302.AI"]:
-      return ai302Handler(req, { params });
     default:
       return proxyHandler(req, { params });
   }

app/client/api.ts

@@ -24,7 +24,6 @@ import { DeepSeekApi } from "./platforms/deepseek";
 import { XAIApi } from "./platforms/xai";
 import { ChatGLMApi } from "./platforms/glm";
 import { SiliconflowApi } from "./platforms/siliconflow";
-import { Ai302Api } from "./platforms/ai302";
 
 export const ROLES = ["system", "user", "assistant"] as const;
 export type MessageRole = (typeof ROLES)[number];
@@ -174,9 +173,6 @@ export class ClientApi {
       case ModelProvider.SiliconFlow:
         this.llm = new SiliconflowApi();
         break;
-      case ModelProvider["302.AI"]:
-        this.llm = new Ai302Api();
-        break;
       default:
         this.llm = new ChatGPTApi();
     }
@@ -269,7 +265,6 @@ export function getHeaders(ignoreHeaders: boolean = false) {
     const isChatGLM = modelConfig.providerName === ServiceProvider.ChatGLM;
     const isSiliconFlow =
       modelConfig.providerName === ServiceProvider.SiliconFlow;
-    const isAI302 = modelConfig.providerName === ServiceProvider["302.AI"];
     const isEnabledAccessControl = accessStore.enabledAccessControl();
     const apiKey = isGoogle
       ? accessStore.googleApiKey
@@ -295,8 +290,6 @@ export function getHeaders(ignoreHeaders: boolean = false) {
       ? accessStore.iflytekApiKey && accessStore.iflytekApiSecret
         ? accessStore.iflytekApiKey + ":" + accessStore.iflytekApiSecret
         : ""
-      : isAI302
-      ? accessStore.ai302ApiKey
       : accessStore.openaiApiKey;
     return {
       isGoogle,
@@ -311,7 +304,6 @@ export function getHeaders(ignoreHeaders: boolean = false) {
       isXAI,
       isChatGLM,
       isSiliconFlow,
-      isAI302,
       apiKey,
       isEnabledAccessControl,
     };
@@ -340,7 +332,6 @@ export function getHeaders(ignoreHeaders: boolean = false) {
     isXAI,
     isChatGLM,
     isSiliconFlow,
-    isAI302,
     apiKey,
     isEnabledAccessControl,
   } = getConfig();
@@ -391,8 +382,6 @@ export function getClientApi(provider: ServiceProvider): ClientApi {
       return new ClientApi(ModelProvider.ChatGLM);
     case ServiceProvider.SiliconFlow:
       return new ClientApi(ModelProvider.SiliconFlow);
-    case ServiceProvider["302.AI"]:
-      return new ClientApi(ModelProvider["302.AI"]);
     default:
       return new ClientApi(ModelProvider.GPT);
   }

app/client/platforms/ai302.ts

@@ -1,287 +0,0 @@
-"use client";
-
-import {
-  ApiPath,
-  AI302_BASE_URL,
-  DEFAULT_MODELS,
-  AI302,
-} from "@/app/constant";
-import {
-  useAccessStore,
-  useAppConfig,
-  useChatStore,
-  ChatMessageTool,
-  usePluginStore,
-} from "@/app/store";
-import { preProcessImageContent, streamWithThink } from "@/app/utils/chat";
-import {
-  ChatOptions,
-  getHeaders,
-  LLMApi,
-  LLMModel,
-  SpeechOptions,
-} from "../api";
-import { getClientConfig } from "@/app/config/client";
-import {
-  getMessageTextContent,
-  getMessageTextContentWithoutThinking,
-  isVisionModel,
-  getTimeoutMSByModel,
-} from "@/app/utils";
-import { RequestPayload } from "./openai";
-
-import { fetch } from "@/app/utils/stream";
-export interface Ai302ListModelResponse {
-  object: string;
-  data: Array<{
-    id: string;
-    object: string;
-    root: string;
-  }>;
-}
-
-export class Ai302Api implements LLMApi {
-  private disableListModels = false;
-
-  path(path: string): string {
-    const accessStore = useAccessStore.getState();
-
-    let baseUrl = "";
-
-    if (accessStore.useCustomConfig) {
-      baseUrl = accessStore.ai302Url;
-    }
-
-    if (baseUrl.length === 0) {
-      const isApp = !!getClientConfig()?.isApp;
-      const apiPath = ApiPath["302.AI"];
-      baseUrl = isApp ? AI302_BASE_URL : apiPath;
-    }
-
-    if (baseUrl.endsWith("/")) {
-      baseUrl = baseUrl.slice(0, baseUrl.length - 1);
-    }
-    if (
-      !baseUrl.startsWith("http") &&
-      !baseUrl.startsWith(ApiPath["302.AI"])
-    ) {
-      baseUrl = "https://" + baseUrl;
-    }
-
-    console.log("[Proxy Endpoint] ", baseUrl, path);
-
-    return [baseUrl, path].join("/");
-  }
-
-  extractMessage(res: any) {
-    return res.choices?.at(0)?.message?.content ?? "";
-  }
-
-  speech(options: SpeechOptions): Promise<ArrayBuffer> {
-    throw new Error("Method not implemented.");
-  }
-
-  async chat(options: ChatOptions) {
-    const visionModel = isVisionModel(options.config.model);
-    const messages: ChatOptions["messages"] = [];
-    for (const v of options.messages) {
-      if (v.role === "assistant") {
-        const content = getMessageTextContentWithoutThinking(v);
-        messages.push({ role: v.role, content });
-      } else {
-        const content = visionModel
-          ? await preProcessImageContent(v.content)
-          : getMessageTextContent(v);
-        messages.push({ role: v.role, content });
-      }
-    }
-
-    const modelConfig = {
-      ...useAppConfig.getState().modelConfig,
-      ...useChatStore.getState().currentSession().mask.modelConfig,
-      ...{
-        model: options.config.model,
-        providerName: options.config.providerName,
-      },
-    };
-
-    const requestPayload: RequestPayload = {
-      messages,
-      stream: options.config.stream,
-      model: modelConfig.model,
-      temperature: modelConfig.temperature,
-      presence_penalty: modelConfig.presence_penalty,
-      frequency_penalty: modelConfig.frequency_penalty,
-      top_p: modelConfig.top_p,
-      // max_tokens: Math.max(modelConfig.max_tokens, 1024),
-      // Please do not ask me why not send max_tokens, no reason, this param is just shit, I dont want to explain anymore.
-    };
-
-    console.log("[Request] openai payload: ", requestPayload);
-
-    const shouldStream = !!options.config.stream;
-    const controller = new AbortController();
-    options.onController?.(controller);
-
-    try {
-      const chatPath = this.path(AI302.ChatPath);
-      const chatPayload = {
-        method: "POST",
-        body: JSON.stringify(requestPayload),
-        signal: controller.signal,
-        headers: getHeaders(),
-      };
-
-      // console.log(chatPayload);
-
-      // Use extended timeout for thinking models as they typically require more processing time
-      const requestTimeoutId = setTimeout(
-        () => controller.abort(),
-        getTimeoutMSByModel(options.config.model),
-      );
-
-      if (shouldStream) {
-        const [tools, funcs] = usePluginStore
-          .getState()
-          .getAsTools(
-            useChatStore.getState().currentSession().mask?.plugin || [],
-          );
-        return streamWithThink(
-          chatPath,
-          requestPayload,
-          getHeaders(),
-          tools as any,
-          funcs,
-          controller,
-          // parseSSE
-          (text: string, runTools: ChatMessageTool[]) => {
-            // console.log("parseSSE", text, runTools);
-            const json = JSON.parse(text);
-            const choices = json.choices as Array<{
-              delta: {
-                content: string | null;
-                tool_calls: ChatMessageTool[];
-                reasoning_content: string | null;
-              };
-            }>;
-            const tool_calls = choices[0]?.delta?.tool_calls;
-            if (tool_calls?.length > 0) {
-              const index = tool_calls[0]?.index;
-              const id = tool_calls[0]?.id;
-              const args = tool_calls[0]?.function?.arguments;
-              if (id) {
-                runTools.push({
-                  id,
-                  type: tool_calls[0]?.type,
-                  function: {
-                    name: tool_calls[0]?.function?.name as string,
-                    arguments: args,
-                  },
-                });
-              } else {
-                // @ts-ignore
-                runTools[index]["function"]["arguments"] += args;
-              }
-            }
-            const reasoning = choices[0]?.delta?.reasoning_content;
-            const content = choices[0]?.delta?.content;
-
-            // Skip if both content and reasoning_content are empty or null
-            if (
-              (!reasoning || reasoning.length === 0) &&
-              (!content || content.length === 0)
-            ) {
-              return {
-                isThinking: false,
-                content: "",
-              };
-            }
-
-            if (reasoning && reasoning.length > 0) {
-              return {
-                isThinking: true,
-                content: reasoning,
-              };
-            } else if (content && content.length > 0) {
-              return {
-                isThinking: false,
-                content: content,
-              };
-            }
-
-            return {
-              isThinking: false,
-              content: "",
-            };
-          },
-          // processToolMessage, include tool_calls message and tool call results
-          (
-            requestPayload: RequestPayload,
-            toolCallMessage: any,
-            toolCallResult: any[],
-          ) => {
-            // @ts-ignore
-            requestPayload?.messages?.splice(
-              // @ts-ignore
-              requestPayload?.messages?.length,
-              0,
-              toolCallMessage,
-              ...toolCallResult,
-            );
-          },
-          options,
-        );
-      } else {
-        const res = await fetch(chatPath, chatPayload);
-        clearTimeout(requestTimeoutId);
-
-        const resJson = await res.json();
-        const message = this.extractMessage(resJson);
-        options.onFinish(message, res);
-      }
-    } catch (e) {
-      console.log("[Request] failed to make a chat request", e);
-      options.onError?.(e as Error);
-    }
-  }
-  async usage() {
-    return {
-      used: 0,
-      total: 0,
-    };
-  }
-
-  async models(): Promise<LLMModel[]> {
-    if (this.disableListModels) {
-      return DEFAULT_MODELS.slice();
-    }
-
-    const res = await fetch(this.path(AI302.ListModelPath), {
-      method: "GET",
-      headers: {
-        ...getHeaders(),
-      },
-    });
-
-    const resJson = (await res.json()) as Ai302ListModelResponse;
-    const chatModels = resJson.data;
-    console.log("[Models]", chatModels);
-
-    if (!chatModels) {
-      return [];
-    }
-
-    let seq = 1000; //同 Constant.ts 中的排序保持一致
-    return chatModels.map((m) => ({
-      name: m.id,
-      available: true,
-      sorted: seq++,
-      provider: {
-        id: "ai302",
-        providerName: "302.AI",
-        providerType: "ai302",
-        sorted: 15,
-      },
-    }));
-  }
-}

app/client/platforms/openai.ts

@@ -56,7 +56,7 @@ export interface OpenAIListModelResponse {
 
 export interface RequestPayload {
   messages: {
-    role: "developer" | "system" | "user" | "assistant";
+    role: "system" | "user" | "assistant";
     content: string | MultimodalContent[];
   }[];
   stream?: boolean;
@@ -238,16 +238,8 @@ export class ChatGPTApi implements LLMApi {
         // Please do not ask me why not send max_tokens, no reason, this param is just shit, I dont want to explain anymore.
       };
 
+      // O1 使用 max_completion_tokens 控制token数 (https://platform.openai.com/docs/guides/reasoning#controlling-costs)
       if (isO1OrO3) {
-        // by default the o1/o3 models will not attempt to produce output that includes markdown formatting
-        // manually add "Formatting re-enabled" developer message to encourage markdown inclusion in model responses
-        // (https://learn.microsoft.com/en-us/azure/ai-services/openai/how-to/reasoning?tabs=python-secure#markdown-output)
-        requestPayload["messages"].unshift({
-          role: "developer",
-          content: "Formatting re-enabled",
-        });
-
-        // o1/o3 uses max_completion_tokens to control the number of tokens (https://platform.openai.com/docs/guides/reasoning#controlling-costs)
         requestPayload["max_completion_tokens"] = modelConfig.max_tokens;
       }
 

app/components/mcp-market.tsx

@@ -22,11 +22,12 @@ import {
   resumeMcpServer,
 } 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 +47,7 @@ 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<ToolSchema[] | null>(null);
   const [viewingServerId, setViewingServerId] = useState<string | undefined>();
   const [isLoading, setIsLoading] = useState(false);
   const [config, setConfig] = useState<McpConfigData>();
@@ -136,7 +137,7 @@ 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) {
@@ -230,7 +231,7 @@ export function McpMarketPage() {
     try {
       const result = await getClientTools(id);
       if (result) {
-        setTools(result);
+        setTools(result?.tools);
       } else {
         throw new Error("Failed to load tools");
       }
@@ -731,17 +732,15 @@ export function McpMarketPage() {
               <div className={styles["tools-list"]}>
                 {isLoading ? (
                   <div>Loading...</div>
-                ) : tools?.tools ? (
+                ) : tools ? (
-                  tools.tools.map(
+                  tools.map((tool: ToolSchema, index: number) => (
-                    (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>
                     </div>
-                    ),
+                  ))
-                  )
                 ) : (
                   <div>No tools available</div>
                 )}

app/components/settings.tsx

@@ -75,7 +75,6 @@ import {
   ChatGLM,
   DeepSeek,
   SiliconFlow,
-  AI302,
 } from "../constant";
 import { Prompt, SearchService, usePromptStore } from "../store/prompt";
 import { ErrorBoundary } from "./error";
@@ -1459,46 +1458,6 @@ export function Settings() {
     </>
   );
 
-  const ai302ConfigComponent = accessStore.provider === ServiceProvider["302.AI"] && (
-    <>
-      <ListItem
-          title={Locale.Settings.Access.AI302.Endpoint.Title}
-          subTitle={
-            Locale.Settings.Access.AI302.Endpoint.SubTitle +
-            AI302.ExampleEndpoint
-          }
-        >
-          <input
-            aria-label={Locale.Settings.Access.AI302.Endpoint.Title}
-            type="text"
-            value={accessStore.ai302Url}
-            placeholder={AI302.ExampleEndpoint}
-            onChange={(e) =>
-              accessStore.update(
-                (access) => (access.ai302Url = e.currentTarget.value),
-              )
-            }
-          ></input>
-        </ListItem>
-        <ListItem
-          title={Locale.Settings.Access.AI302.ApiKey.Title}
-          subTitle={Locale.Settings.Access.AI302.ApiKey.SubTitle}
-        >
-          <PasswordInput
-            aria-label={Locale.Settings.Access.AI302.ApiKey.Title}
-            value={accessStore.ai302ApiKey}
-            type="text"
-            placeholder={Locale.Settings.Access.AI302.ApiKey.Placeholder}
-            onChange={(e) => {
-              accessStore.update(
-                (access) => (access.ai302ApiKey = e.currentTarget.value),
-              );
-            }}
-          />
-        </ListItem>
-      </>
-  );
-
   return (
     <ErrorBoundary>
       <div className="window-header" data-tauri-drag-region>
@@ -1863,7 +1822,6 @@ export function Settings() {
                   {XAIConfigComponent}
                   {chatglmConfigComponent}
                   {siliconflowConfigComponent}
-                  {ai302ConfigComponent}
                 </>
               )}
             </>

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/config/server.ts

@@ -88,10 +88,6 @@ declare global {
       SILICONFLOW_URL?: string;
       SILICONFLOW_API_KEY?: string;
 
-      // 302.AI only
-      AI302_URL?: string;
-      AI302_API_KEY?: string;
-
       // custom template for preprocessing user input
       DEFAULT_INPUT_TEMPLATE?: string;
 
@@ -167,7 +163,6 @@ export const getServerSideConfig = () => {
   const isXAI = !!process.env.XAI_API_KEY;
   const isChatGLM = !!process.env.CHATGLM_API_KEY;
   const isSiliconFlow = !!process.env.SILICONFLOW_API_KEY;
-  const isAI302 = !!process.env.AI302_API_KEY;
   // const apiKeyEnvVar = process.env.OPENAI_API_KEY ?? "";
   // const apiKeys = apiKeyEnvVar.split(",").map((v) => v.trim());
   // const randomIndex = Math.floor(Math.random() * apiKeys.length);
@@ -251,10 +246,6 @@ export const getServerSideConfig = () => {
     siliconFlowUrl: process.env.SILICONFLOW_URL,
     siliconFlowApiKey: getApiKey(process.env.SILICONFLOW_API_KEY),
 
-    isAI302,
-    ai302Url: process.env.AI302_URL,
-    ai302ApiKey: getApiKey(process.env.AI302_API_KEY),
-
     gtmId: process.env.GTM_ID,
     gaId: process.env.GA_ID || DEFAULT_GA_ID,
 

app/constant.ts

@@ -36,8 +36,6 @@ export const CHATGLM_BASE_URL = "https://open.bigmodel.cn";
 
 export const SILICONFLOW_BASE_URL = "https://api.siliconflow.cn";
 
-export const AI302_BASE_URL = "https://api.302.ai";
-
 export const CACHE_URL_PREFIX = "/api/cache";
 export const UPLOAD_URL = `${CACHE_URL_PREFIX}/upload`;
 
@@ -74,7 +72,6 @@ export enum ApiPath {
   ChatGLM = "/api/chatglm",
   DeepSeek = "/api/deepseek",
   SiliconFlow = "/api/siliconflow",
-  "302.AI" = "/api/302ai",
 }
 
 export enum SlotID {
@@ -133,7 +130,6 @@ export enum ServiceProvider {
   ChatGLM = "ChatGLM",
   DeepSeek = "DeepSeek",
   SiliconFlow = "SiliconFlow",
-  "302.AI" = "302.AI",
 }
 
 // Google API safety settings, see https://ai.google.dev/gemini-api/docs/safety-settings
@@ -160,7 +156,6 @@ export enum ModelProvider {
   ChatGLM = "ChatGLM",
   DeepSeek = "DeepSeek",
   SiliconFlow = "SiliconFlow",
-  "302.AI" = "302.AI",
 }
 
 export const Stability = {
@@ -271,13 +266,6 @@ export const SiliconFlow = {
   ListModelPath: "v1/models?&sub_type=chat",
 };
 
-export const AI302 = {
-  ExampleEndpoint: AI302_BASE_URL,
-  ChatPath: "v1/chat/completions",
-  EmbeddingsPath: "jina/v1/embeddings",
-  ListModelPath: "v1/models?llm=1",
-};
-
 export const DEFAULT_INPUT_TEMPLATE = `{{input}}`; // input / time / model / lang
 // export const DEFAULT_SYSTEM_TEMPLATE = `
 // You are ChatGPT, a large language model trained by {{ServiceProvider}}.
@@ -535,15 +523,20 @@ const openaiModels = [
 ];
 
 const googleModels = [
+  "gemini-1.0-pro", // Deprecated on 2/15/2025
   "gemini-1.5-pro-latest",
   "gemini-1.5-pro",
   "gemini-1.5-pro-002",
+  "gemini-1.5-pro-exp-0827",
   "gemini-1.5-flash-latest",
   "gemini-1.5-flash-8b-latest",
   "gemini-1.5-flash",
   "gemini-1.5-flash-8b",
   "gemini-1.5-flash-002",
+  "gemini-1.5-flash-exp-0827",
   "learnlm-1.5-pro-experimental",
+  "gemini-exp-1114",
+  "gemini-exp-1121",
   "gemini-exp-1206",
   "gemini-2.0-flash",
   "gemini-2.0-flash-exp",
@@ -553,7 +546,6 @@ const googleModels = [
   "gemini-2.0-flash-thinking-exp-01-21",
   "gemini-2.0-pro-exp",
   "gemini-2.0-pro-exp-02-05",
-  "gemini-2.5-pro-preview-06-05",
 ];
 
 const anthropicModels = [
@@ -640,18 +632,6 @@ const xAIModes = [
   "grok-2-vision-1212",
   "grok-2-vision",
   "grok-2-vision-latest",
-  "grok-3-mini-fast-beta",
-  "grok-3-mini-fast",
-  "grok-3-mini-fast-latest",
-  "grok-3-mini-beta",
-  "grok-3-mini",
-  "grok-3-mini-latest",
-  "grok-3-fast-beta",
-  "grok-3-fast",
-  "grok-3-fast-latest",
-  "grok-3-beta",
-  "grok-3",
-  "grok-3-latest",
 ];
 
 const chatglmModels = [
@@ -691,31 +671,6 @@ const siliconflowModels = [
   "Pro/deepseek-ai/DeepSeek-V3",
 ];
 
-const ai302Models = [
-  "deepseek-chat",
-  "gpt-4o",
-  "chatgpt-4o-latest",
-  "llama3.3-70b",
-  "deepseek-reasoner",
-  "gemini-2.0-flash",
-  "claude-3-7-sonnet-20250219",
-  "claude-3-7-sonnet-latest",
-  "grok-3-beta",
-  "grok-3-mini-beta",
-  "gpt-4.1",
-  "gpt-4.1-mini",
-  "o3",
-  "o4-mini",
-  "qwen3-235b-a22b",
-  "qwen3-32b",
-  "gemini-2.5-pro-preview-05-06",
-  "llama-4-maverick",
-  "gemini-2.5-flash",
-  "claude-sonnet-4-20250514",
-  "claude-opus-4-20250514",
-  "gemini-2.5-pro",
-];
-
 let seq = 1000; // 内置的模型序号生成器从1000开始
 export const DEFAULT_MODELS = [
   ...openaiModels.map((name) => ({
@@ -872,17 +827,6 @@ export const DEFAULT_MODELS = [
       sorted: 14,
     },
   })),
-  ...ai302Models.map((name) => ({
-    name,
-    available: true,
-    sorted: seq++,
-    provider: {
-      id: "ai302",
-      providerName: "302.AI",
-      providerType: "ai302",
-      sorted: 15,
-    },
-  })),
 ] as const;
 
 export const CHAT_PAGE_SIZE = 15;

app/locales/ar.ts

@@ -416,17 +416,6 @@ const ar: PartialLocaleType = {
           SubTitle: "مثال:",
         },
       },
-      AI302: {
-        ApiKey: {
-          Title: "مفتاح 302.AI API",
-          SubTitle: "استخدم مفتاح 302.AI API مخصص",
-          Placeholder: "مفتاح 302.AI API",
-        },
-        Endpoint: {
-          Title: "عنوان الواجهة",
-          SubTitle: "مثال:",
-        },
-      },
       CustomModel: {
         Title: "اسم النموذج المخصص",
         SubTitle: "أضف خيارات نموذج مخصص، مفصولة بفواصل إنجليزية",

app/locales/bn.ts

@@ -423,17 +423,6 @@ const bn: PartialLocaleType = {
           SubTitle: "উদাহরণ:",
         },
       },
-      AI302: {
-        ApiKey: {
-          Title: "ইন্টারফেস কী",
-          SubTitle: "স্বনির্ধারিত 302.AI API কী ব্যবহার করুন",
-          Placeholder: "302.AI API কী",
-        },
-        Endpoint: {
-          Title: "ইন্টারফেস ঠিকানা",
-          SubTitle: "উদাহরণ:",
-        },
-      },
       CustomModel: {
         Title: "স্বনির্ধারিত মডেল নাম",
         SubTitle:

app/locales/cn.ts

@@ -538,17 +538,6 @@ const cn = {
         Title: "自定义模型名",
         SubTitle: "增加自定义模型可选项，使用英文逗号隔开",
       },
-      AI302: {
-        ApiKey: {
-          Title: "接口密钥",
-          SubTitle: "使用自定义302.AI API Key",
-          Placeholder: "302.AI API Key",
-        },
-        Endpoint: {
-          Title: "接口地址",
-          SubTitle: "样例：",
-        },
-      },
     },
 
     Model: "模型 (model)",

app/locales/cs.ts

@@ -423,17 +423,6 @@ const cs: PartialLocaleType = {
           SubTitle: "Příklad:",
         },
       },
-      AI302: {
-        ApiKey: {
-          Title: "Rozhraní klíč",
-          SubTitle: "Použijte vlastní 302.AI API Key",
-          Placeholder: "302.AI API Key",
-        },
-        Endpoint: {
-          Title: "Adresa rozhraní",
-          SubTitle: "Příklad:",
-        },
-      },
       CustomModel: {
         Title: "Vlastní názvy modelů",
         SubTitle: "Přidejte možnosti vlastních modelů, oddělené čárkami",

app/locales/da.ts

@@ -517,17 +517,6 @@ const da: PartialLocaleType = {
           SubTitle: "Vælg et niveau for indholdskontrol",
         },
       },
-      AI302: {
-        ApiKey: {
-          Title: "302.AI API Key",
-          SubTitle: "Brug en custom 302.AI API Key",
-          Placeholder: "302.AI API Key",
-        },
-        Endpoint: {
-          Title: "Endpoint-adresse",
-          SubTitle: "Eksempel: ",
-        },
-      },
     },
     Model: "Model",
     CompressModel: {

app/locales/de.ts

@@ -434,17 +434,6 @@ const de: PartialLocaleType = {
           SubTitle: "Beispiel:",
         },
       },
-      AI302: {
-        ApiKey: {
-          Title: "Schnittstellenschlüssel",
-          SubTitle: "Verwenden Sie einen benutzerdefinierten 302.AI API-Schlüssel",
-          Placeholder: "302.AI API-Schlüssel",
-        },
-        Endpoint: {
-          Title: "Endpunktadresse",
-          SubTitle: "Beispiel:",
-        },
-      },
       CustomModel: {
         Title: "Benutzerdefinierter Modellname",
         SubTitle:

app/locales/en.ts

@@ -543,17 +543,6 @@ const en: LocaleType = {
           SubTitle: "Select a safety filtering level",
         },
       },
-      AI302: {
-        ApiKey: {
-          Title: "302.AI API Key",
-          SubTitle: "Use a custom 302.AI API Key",
-          Placeholder: "302.AI API Key",
-        },
-        Endpoint: {
-          Title: "Endpoint Address",
-          SubTitle: "Example: ",
-        },
-      },
     },
 
     Model: "Model",

app/locales/es.ts

@@ -436,17 +436,6 @@ const es: PartialLocaleType = {
           SubTitle: "Ejemplo:",
         },
       },
-      AI302: {
-        ApiKey: {
-          Title: "Clave de interfaz",
-          SubTitle: "Usa una clave API de 302.AI personalizada",
-          Placeholder: "Clave API de 302.AI",
-        },
-        Endpoint: {
-          Title: "Dirección del endpoint",
-          SubTitle: "Ejemplo:",
-        },
-      },
       CustomModel: {
         Title: "Nombre del modelo personalizado",
         SubTitle:

app/locales/fr.ts

@@ -435,17 +435,6 @@ const fr: PartialLocaleType = {
           SubTitle: "Exemple :",
         },
       },
-      AI302: {
-        ApiKey: {
-          Title: "Clé d'interface",
-          SubTitle: "Utiliser une clé API 302.AI personnalisée",
-          Placeholder: "Clé API 302.AI",
-        },
-        Endpoint: {
-          Title: "Adresse de l'endpoint",
-          SubTitle: "Exemple :",
-        },
-      },
       CustomModel: {
         Title: "Nom du modèle personnalisé",
         SubTitle:

app/locales/id.ts

@@ -424,17 +424,6 @@ const id: PartialLocaleType = {
           SubTitle: "Contoh:",
         },
       },
-      AI302: {
-        ApiKey: {
-          Title: "Kunci Antarmuka",
-          SubTitle: "Gunakan 302.AI API Key kustom",
-          Placeholder: "302.AI API Key",
-        },
-        Endpoint: {
-          Title: "Alamat Antarmuka",
-          SubTitle: "Contoh:",
-        },
-      },
       CustomModel: {
         Title: "Nama Model Kustom",
         SubTitle: "Tambahkan opsi model kustom, pisahkan dengan koma",

app/locales/it.ts

@@ -436,17 +436,6 @@ const it: PartialLocaleType = {
           SubTitle: "Esempio:",
         },
       },
-      AI302: {
-        ApiKey: {
-          Title: "Chiave dell'interfaccia",
-          SubTitle: "Utilizza una chiave API 302.AI personalizzata",
-          Placeholder: "Chiave API 302.AI",
-        },
-        Endpoint: {
-          Title: "Indirizzo dell'interfaccia",
-          SubTitle: "Esempio:",
-        },
-      },
       CustomModel: {
         Title: "Nome del modello personalizzato",
         SubTitle:

app/locales/jp.ts

@@ -420,17 +420,6 @@ const jp: PartialLocaleType = {
           SubTitle: "例：",
         },
       },
-      AI302: {
-        ApiKey: {
-          Title: "APIキー",
-          SubTitle: "カスタム302.AI APIキーを使用",
-          Placeholder: "302.AI APIキー",
-        },
-        Endpoint: {
-          Title: "エンドポイント",
-          SubTitle: "例：",
-        },
-      },
       CustomModel: {
         Title: "カスタムモデル名",
         SubTitle: "カスタムモデルの選択肢を追加、英語のカンマで区切る",

app/locales/ko.ts

@@ -421,17 +421,6 @@ const ko: PartialLocaleType = {
         Title: "커스텀 모델 이름",
         SubTitle: "커스텀 모델 옵션 추가, 영어 쉼표로 구분",
       },
-      AI302: {
-        ApiKey: {
-          Title: "엔드포인트 키",
-          SubTitle: "커스텀 302.AI API 키 사용",
-          Placeholder: "302.AI API 키",
-        },
-        Endpoint: {
-          Title: "엔드포인트 주소",
-          SubTitle: "예: ",
-        },
-      },
     },
 
     Model: "모델 (model)",

app/locales/no.ts

@@ -433,17 +433,6 @@ const no: PartialLocaleType = {
         Title: "Egendefinert modellnavn",
         SubTitle: "Legg til egendefinerte modellalternativer, skill med komma",
       },
-      AI302: {
-        ApiKey: {
-          Title: "API-nøkkel",
-          SubTitle: "Bruk egendefinert 302.AI API-nøkkel",
-          Placeholder: "302.AI API-nøkkel",
-        },
-        Endpoint: {
-          Title: "API-adresse",
-          SubTitle: "Eksempel:",
-        },
-      },
     },
 
     Model: "Modell",

app/locales/pt.ts

@@ -359,17 +359,6 @@ const pt: PartialLocaleType = {
           SubTitle: "Verifique sua versão API do console Anthropic",
         },
       },
-      AI302: {
-        ApiKey: {
-          Title: "Chave API 302.AI",
-          SubTitle: "Use uma chave API 302.AI personalizada",
-          Placeholder: "302.AI API Key",
-        },
-        Endpoint: {
-          Title: "Endpoint Address",
-          SubTitle: "Exemplo: ",
-        },
-      },
       CustomModel: {
         Title: "Modelos Personalizados",
         SubTitle: "Opções de modelo personalizado, separados por vírgula",

app/locales/ru.ts

@@ -426,17 +426,6 @@ const ru: PartialLocaleType = {
           SubTitle: "Пример:",
         },
       },
-      AI302: {
-        ApiKey: {
-          Title: "Ключ интерфейса",
-          SubTitle: "Использовать пользовательский 302.AI API-ключ",
-          Placeholder: "302.AI API-ключ",
-        },
-        Endpoint: {
-          Title: "Адрес интерфейса",
-          SubTitle: "Пример:",
-        },
-      },
       CustomModel: {
         Title: "Название пользовательской модели",
         SubTitle:

app/locales/sk.ts

@@ -381,17 +381,6 @@ const sk: PartialLocaleType = {
           SubTitle: "Vyberte špecifickú verziu časti",
         },
       },
-      AI302: {
-        ApiKey: {
-          Title: "API kľúč",
-          SubTitle: "Použiť vlastný API kľúč 302.AI",
-          Placeholder: "302.AI API kľúč",
-        },
-        Endpoint: {
-          Title: "Adresa koncového bodu",
-          SubTitle: "Príklad:",
-        },
-      },
     },
 
     Model: "Model",

app/locales/tr.ts

@@ -426,17 +426,6 @@ const tr: PartialLocaleType = {
           SubTitle: "Örnek:",
         },
       },
-      AI302: {
-        ApiKey: {
-          Title: "API Anahtarı",
-          SubTitle: "Özelleştirilmiş 302.AI API Anahtarı kullanın",
-          Placeholder: "302.AI API Anahtarı",
-        },
-        Endpoint: {
-          Title: "API Adresi",
-          SubTitle: "Örnek:",
-        },
-      },
       CustomModel: {
         Title: "Özelleştirilmiş Model Adı",
         SubTitle:

app/locales/tw.ts

@@ -382,17 +382,6 @@ const tw = {
           SubTitle: "選擇一個特定的 API 版本",
         },
       },
-      AI302: {
-        ApiKey: {
-          Title: "API 金鑰",
-          SubTitle: "使用自訂 302.AI API 金鑰",
-          Placeholder: "302.AI API 金鑰",
-        },
-        Endpoint: {
-          Title: "端點位址",
-          SubTitle: "範例：",
-        },
-      },
       CustomModel: {
         Title: "自訂模型名稱",
         SubTitle: "增加自訂模型可選擇項目，使用英文逗號隔開",

app/locales/vi.ts

@@ -422,17 +422,6 @@ const vi: PartialLocaleType = {
           SubTitle: "Ví dụ:",
         },
       },
-      AI302: {
-        ApiKey: {
-          Title: "Khóa API 302.AI",
-          SubTitle: "Sử dụng khóa API 302.AI tùy chỉnh",
-          Placeholder: "302.AI API Key",
-        },
-        Endpoint: {
-          Title: "Địa chỉ giao diện",
-          SubTitle: "Ví dụ:",
-        },
-      },
       CustomModel: {
         Title: "Tên mô hình tùy chỉnh",
         SubTitle:

app/mcp/actions.base.ts

@@ -0,0 +1,491 @@
+import {
+  createClient,
+  executeRequest,
+  listTools,
+  removeClient,
+} from "./client";
+import { MCPClientLogger } from "./logger";
+import {
+  DEFAULT_MCP_CONFIG,
+  McpClientData,
+  McpConfigData,
+  McpRequestMessage,
+  ServerConfig,
+  ServerStatusResponse,
+} from "./types";
+
+const JSON_INDENT = 2;
+
+const logger = new MCPClientLogger("MCP Actions");
+
+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");
+  }
+};
+
+class ClientsMap extends Map<string, McpClientData> {
+  toolToClientMap: Map<string, string>;
+  constructor() {
+    super();
+    this.toolToClientMap = new Map<string, string>();
+  }
+
+  set(clientId: string, data: McpClientData): this {
+    super.set(clientId, data);
+
+    if (data?.tools?.tools) {
+      for (const tool of data.tools.tools) {
+        if (tool.name) {
+          this.toolToClientMap.set(tool.name, clientId);
+        }
+      }
+    } else {
+      this.purgeToolMappings(clientId);
+    }
+    return this;
+  }
+
+  delete(clientId: string): boolean {
+    const ret = clientsMap.delete(clientId);
+    this.purgeToolMappings(clientId);
+    return ret;
+  }
+
+  clear(): void {
+    super.clear();
+    this.toolToClientMap.clear();
+  }
+
+  getByToolName(toolName: string) {
+    const toolClientId = clientsMap.toolToClientMap.get(toolName);
+    if (toolClientId) {
+      return clientsMap.get(toolClientId);
+    }
+  }
+
+  private purgeToolMappings(clientId: string) {
+    for (const [tool, mappedId] of this.toolToClientMap.entries()) {
+      if (mappedId === clientId) {
+        this.toolToClientMap.delete(tool);
+      }
+    }
+  }
+}
+
+const clientsMap = new ClientsMap();
+
+// 获取客户端状态
+export async function getClientsStatus(): Promise<
+  Record<string, ServerStatusResponse>
+> {
+  const config = await getMcpConfigFromFile();
+  const result: Record<string, ServerStatusResponse> = {};
+
+  for (const clientId of Object.keys(config.mcpServers)) {
+    const status = clientsMap.get(clientId);
+    const serverConfig = config.mcpServers[clientId];
+
+    if (!serverConfig) {
+      result[clientId] = { status: "undefined", errorMsg: null };
+      continue;
+    }
+
+    if (serverConfig.status === "paused") {
+      result[clientId] = { status: "paused", errorMsg: null };
+      continue;
+    }
+
+    if (!status) {
+      result[clientId] = { status: "undefined", errorMsg: null };
+      continue;
+    }
+
+    if (
+      status.client === null &&
+      status.tools === null &&
+      status.errorMsg === null
+    ) {
+      result[clientId] = { status: "initializing", errorMsg: null };
+      continue;
+    }
+
+    if (status.errorMsg) {
+      result[clientId] = { status: "error", errorMsg: status.errorMsg };
+      continue;
+    }
+
+    if (status.client) {
+      result[clientId] = { status: "active", errorMsg: null };
+      continue;
+    }
+
+    result[clientId] = { status: "error", errorMsg: "Client not found" };
+  }
+
+  return result;
+}
+
+// 获取客户端工具
+export async function getClientTools(clientId: string) {
+  return clientsMap.get(clientId)?.tools ?? null;
+}
+
+// 获取可用客户端数量
+export async function getAvailableClientsCount() {
+  let count = 0;
+  clientsMap.forEach((map) => !map.errorMsg && count++);
+  return count;
+}
+
+// 获取所有客户端工具
+export async function getAllTools() {
+  const result = [];
+  for (const [clientId, status] of clientsMap.entries()) {
+    result.push({
+      clientId,
+      tools: status.tools,
+    });
+  }
+  return result;
+}
+
+// 初始化单个客户端
+async function initializeSingleClient(
+  clientId: string,
+  serverConfig: ServerConfig,
+) {
+  // 如果服务器状态是暂停，则不初始化
+  if (serverConfig.status === "paused") {
+    logger.info(`Skipping initialization for paused client [${clientId}]`);
+    return;
+  }
+
+  logger.info(`Initializing client [${clientId}]...`);
+
+  // 先设置初始化状态
+  clientsMap.set(clientId, {
+    client: null,
+    tools: null,
+    errorMsg: null, // null 表示正在初始化
+  });
+
+  // 异步初始化
+  createClient(clientId, serverConfig)
+    .then(async (client) => {
+      const tools = await listTools(client);
+      logger.info(
+        `Supported tools for [${clientId}]: ${JSON.stringify(tools, null, 2)}`,
+      );
+      clientsMap.set(clientId, { client, tools, errorMsg: null });
+      logger.success(`Client [${clientId}] initialized successfully`);
+    })
+    .catch((error) => {
+      clientsMap.set(clientId, {
+        client: null,
+        tools: null,
+        errorMsg: error instanceof Error ? error.message : String(error),
+      });
+      logger.error(`Failed to initialize client [${clientId}]: ${error}`);
+    });
+}
+
+// 初始化系统
+export async function initializeMcpSystem() {
+  logger.info("MCP Actions starting...");
+  try {
+    // 检查是否已有活跃的客户端
+    if (clientsMap.size > 0) {
+      logger.info("MCP system already initialized, skipping...");
+      return;
+    }
+
+    const config = await getMcpConfigFromFile();
+    // 初始化所有客户端
+    for (const [clientId, serverConfig] of Object.entries(config.mcpServers)) {
+      await initializeSingleClient(clientId, serverConfig);
+    }
+    return config;
+  } catch (error) {
+    logger.error(`Failed to initialize MCP system: ${error}`);
+    throw error;
+  }
+}
+
+// 添加服务器
+export async function addMcpServer(clientId: string, config: ServerConfig) {
+  try {
+    const currentConfig = await getMcpConfigFromFile();
+    const isNewServer = !(clientId in currentConfig.mcpServers);
+
+    // 如果是新服务器，设置默认状态为 active
+    if (isNewServer && !config.status) {
+      config.status = "active";
+    }
+
+    const newConfig = {
+      ...currentConfig,
+      mcpServers: {
+        ...currentConfig.mcpServers,
+        [clientId]: config,
+      },
+    };
+    await updateMcpConfig(newConfig);
+
+    // 只有新服务器或状态为 active 的服务器才初始化
+    if (isNewServer || config.status === "active") {
+      await initializeSingleClient(clientId, config);
+    }
+
+    return newConfig;
+  } catch (error) {
+    logger.error(`Failed to add server [${clientId}]: ${error}`);
+    throw error;
+  }
+}
+
+// 暂停服务器
+export async function pauseMcpServer(clientId: string) {
+  try {
+    const currentConfig = await getMcpConfigFromFile();
+    const serverConfig = currentConfig.mcpServers[clientId];
+    if (!serverConfig) {
+      throw new Error(`Server ${clientId} not found`);
+    }
+
+    // 先更新配置
+    const newConfig: McpConfigData = {
+      ...currentConfig,
+      mcpServers: {
+        ...currentConfig.mcpServers,
+        [clientId]: {
+          ...serverConfig,
+          status: "paused",
+        },
+      },
+    };
+    await updateMcpConfig(newConfig);
+
+    // 然后关闭客户端
+    const client = clientsMap.get(clientId);
+    if (client?.client) {
+      await removeClient(client.client);
+    }
+    clientsMap.delete(clientId);
+
+    return newConfig;
+  } catch (error) {
+    logger.error(`Failed to pause server [${clientId}]: ${error}`);
+    throw error;
+  }
+}
+
+// 恢复服务器
+export async function resumeMcpServer(clientId: string): Promise<void> {
+  try {
+    const currentConfig = await getMcpConfigFromFile();
+    const serverConfig = currentConfig.mcpServers[clientId];
+    if (!serverConfig) {
+      throw new Error(`Server ${clientId} not found`);
+    }
+
+    // 先尝试初始化客户端
+    logger.info(`Trying to initialize client [${clientId}]...`);
+    try {
+      const client = await createClient(clientId, serverConfig);
+      const tools = await listTools(client);
+      clientsMap.set(clientId, { client, tools, errorMsg: null });
+      logger.success(`Client [${clientId}] initialized successfully`);
+
+      // 初始化成功后更新配置
+      const newConfig: McpConfigData = {
+        ...currentConfig,
+        mcpServers: {
+          ...currentConfig.mcpServers,
+          [clientId]: {
+            ...serverConfig,
+            status: "active" as const,
+          },
+        },
+      };
+      await updateMcpConfig(newConfig);
+    } catch (error) {
+      const currentConfig = await getMcpConfigFromFile();
+      const serverConfig = currentConfig.mcpServers[clientId];
+
+      // 如果配置中存在该服务器，则更新其状态为 error
+      if (serverConfig) {
+        serverConfig.status = "error";
+        await updateMcpConfig(currentConfig);
+      }
+
+      // 初始化失败
+      clientsMap.set(clientId, {
+        client: null,
+        tools: null,
+        errorMsg: error instanceof Error ? error.message : String(error),
+      });
+      logger.error(`Failed to initialize client [${clientId}]: ${error}`);
+      throw error;
+    }
+  } catch (error) {
+    logger.error(`Failed to resume server [${clientId}]: ${error}`);
+    throw error;
+  }
+}
+
+// 移除服务器
+export async function removeMcpServer(clientId: string) {
+  try {
+    const currentConfig = await getMcpConfigFromFile();
+    const { [clientId]: _, ...rest } = currentConfig.mcpServers;
+    const newConfig = {
+      ...currentConfig,
+      mcpServers: rest,
+    };
+    await updateMcpConfig(newConfig);
+
+    // 关闭并移除客户端
+    const client = clientsMap.get(clientId);
+    if (client?.client) {
+      await removeClient(client.client);
+    }
+    clientsMap.delete(clientId);
+
+    return newConfig;
+  } catch (error) {
+    logger.error(`Failed to remove server [${clientId}]: ${error}`);
+    throw error;
+  }
+}
+
+// 重启所有客户端
+export async function restartAllClients() {
+  logger.info("Restarting all clients...");
+  try {
+    // 关闭所有客户端
+    for (const client of clientsMap.values()) {
+      if (client.client) {
+        await removeClient(client.client);
+      }
+    }
+
+    // 清空状态
+    clientsMap.clear();
+
+    // 重新初始化
+    const config = await getMcpConfigFromFile();
+    for (const [clientId, serverConfig] of Object.entries(config.mcpServers)) {
+      await initializeSingleClient(clientId, serverConfig);
+    }
+    return config;
+  } catch (error) {
+    logger.error(`Failed to restart clients: ${error}`);
+    throw error;
+  }
+}
+
+// 执行 MCP 请求
+export async function executeMcpAction(
+  clientId: string,
+  request: McpRequestMessage,
+) {
+  try {
+    let client = clientsMap.get(clientId);
+    if (
+      !client &&
+      request.params?.name &&
+      typeof request.params.name === "string"
+    ) {
+      client = clientsMap.getByToolName(request.params.name);
+    }
+    if (!client?.client) {
+      throw new Error(`Client ${clientId} not found`);
+    }
+    logger.info(`Executing request for [${clientId}]`);
+    return await executeRequest(client.client, request);
+  } catch (error) {
+    logger.error(`Failed to execute request for [${clientId}]: ${error}`);
+    throw error;
+  }
+}
+
+// 获取 MCP 配置文件
+export async function getMcpConfigFromFile(): Promise<McpConfigData> {
+  try {
+    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);
+        // Create a merged configuration that combines both sources
+        const merged = { ...config.mcpServers };
+        if (storedConfig.mcpServers) {
+          // Ensure we process all servers from stored config
+          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;
+  }
+}
+
+// 更新 MCP 配置文件
+async function updateMcpConfig(config: McpConfigData): Promise<void> {
+  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");
+    // 确保目录存在
+    await fs.mkdir(path.dirname(await getConfigPath()), { recursive: true });
+    await fs.writeFile(
+      await getConfigPath(),
+      JSON.stringify(config, null, JSON_INDENT),
+    );
+  }
+}
+
+// 检查 MCP 是否启用
+export async function isMcpEnabled() {
+  try {
+    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/actions.client.ts

@@ -0,0 +1 @@
+export * from "./actions.base";

app/mcp/actions.server.ts

@@ -0,0 +1,2 @@
+"use server";
+export * from "./actions.base";

app/mcp/actions.ts

@@ -1,385 +1,56 @@
-"use server";
+import { McpRequestMessage, ServerConfig } from "./types";
-import {
-  createClient,
-  executeRequest,
-  listTools,
-  removeClient,
-} from "./client";
-import { MCPClientLogger } from "./logger";
-import {
-  DEFAULT_MCP_CONFIG,
-  McpClientData,
-  McpConfigData,
-  McpRequestMessage,
-  ServerConfig,
-  ServerStatusResponse,
-} from "./types";
-import fs from "fs/promises";
-import path from "path";
-import { getServerSideConfig } from "../config/server";
 
-const logger = new MCPClientLogger("MCP Actions");
+let actionsHost: typeof import("./actions.base") | undefined;
-const CONFIG_PATH = path.join(process.cwd(), "app/mcp/mcp_config.json");
 
-const clientsMap = new Map<string, McpClientData>();
+const actions = async () => {
-
+  if (!actionsHost) {
-// 获取客户端状态
+    if (EXPORT_MODE) {
-export async function getClientsStatus(): Promise<
+      actionsHost = await import("./actions.client");
-  Record<string, ServerStatusResponse>
+    } else {
-> {
+      actionsHost = await import("./actions.server");
-  const config = await getMcpConfigFromFile();
-  const result: Record<string, ServerStatusResponse> = {};
-
-  for (const clientId of Object.keys(config.mcpServers)) {
-    const status = clientsMap.get(clientId);
-    const serverConfig = config.mcpServers[clientId];
-
-    if (!serverConfig) {
-      result[clientId] = { status: "undefined", errorMsg: null };
-      continue;
-    }
-
-    if (serverConfig.status === "paused") {
-      result[clientId] = { status: "paused", errorMsg: null };
-      continue;
-    }
-
-    if (!status) {
-      result[clientId] = { status: "undefined", errorMsg: null };
-      continue;
-    }
-
-    if (
-      status.client === null &&
-      status.tools === null &&
-      status.errorMsg === null
-    ) {
-      result[clientId] = { status: "initializing", errorMsg: null };
-      continue;
-    }
-
-    if (status.errorMsg) {
-      result[clientId] = { status: "error", errorMsg: status.errorMsg };
-      continue;
-    }
-
-    if (status.client) {
-      result[clientId] = { status: "active", errorMsg: null };
-      continue;
-    }
-
-    result[clientId] = { status: "error", errorMsg: "Client not found" };
-  }
-
-  return result;
-}
-
-// 获取客户端工具
-export async function getClientTools(clientId: string) {
-  return clientsMap.get(clientId)?.tools ?? null;
-}
-
-// 获取可用客户端数量
-export async function getAvailableClientsCount() {
-  let count = 0;
-  clientsMap.forEach((map) => !map.errorMsg && count++);
-  return count;
-}
-
-// 获取所有客户端工具
-export async function getAllTools() {
-  const result = [];
-  for (const [clientId, status] of clientsMap.entries()) {
-    result.push({
-      clientId,
-      tools: status.tools,
-    });
-  }
-  return result;
-}
-
-// 初始化单个客户端
-async function initializeSingleClient(
-  clientId: string,
-  serverConfig: ServerConfig,
-) {
-  // 如果服务器状态是暂停，则不初始化
-  if (serverConfig.status === "paused") {
-    logger.info(`Skipping initialization for paused client [${clientId}]`);
-    return;
-  }
-
-  logger.info(`Initializing client [${clientId}]...`);
-
-  // 先设置初始化状态
-  clientsMap.set(clientId, {
-    client: null,
-    tools: null,
-    errorMsg: null, // null 表示正在初始化
-  });
-
-  // 异步初始化
-  createClient(clientId, serverConfig)
-    .then(async (client) => {
-      const tools = await listTools(client);
-      logger.info(
-        `Supported tools for [${clientId}]: ${JSON.stringify(tools, null, 2)}`,
-      );
-      clientsMap.set(clientId, { client, tools, errorMsg: null });
-      logger.success(`Client [${clientId}] initialized successfully`);
-    })
-    .catch((error) => {
-      clientsMap.set(clientId, {
-        client: null,
-        tools: null,
-        errorMsg: error instanceof Error ? error.message : String(error),
-      });
-      logger.error(`Failed to initialize client [${clientId}]: ${error}`);
-    });
-}
-
-// 初始化系统
-export async function initializeMcpSystem() {
-  logger.info("MCP Actions starting...");
-  try {
-    // 检查是否已有活跃的客户端
-    if (clientsMap.size > 0) {
-      logger.info("MCP system already initialized, skipping...");
-      return;
-    }
-
-    const config = await getMcpConfigFromFile();
-    // 初始化所有客户端
-    for (const [clientId, serverConfig] of Object.entries(config.mcpServers)) {
-      await initializeSingleClient(clientId, serverConfig);
-    }
-    return config;
-  } catch (error) {
-    logger.error(`Failed to initialize MCP system: ${error}`);
-    throw error;
-  }
-}
-
-// 添加服务器
-export async function addMcpServer(clientId: string, config: ServerConfig) {
-  try {
-    const currentConfig = await getMcpConfigFromFile();
-    const isNewServer = !(clientId in currentConfig.mcpServers);
-
-    // 如果是新服务器，设置默认状态为 active
-    if (isNewServer && !config.status) {
-      config.status = "active";
-    }
-
-    const newConfig = {
-      ...currentConfig,
-      mcpServers: {
-        ...currentConfig.mcpServers,
-        [clientId]: config,
-      },
-    };
-    await updateMcpConfig(newConfig);
-
-    // 只有新服务器或状态为 active 的服务器才初始化
-    if (isNewServer || config.status === "active") {
-      await initializeSingleClient(clientId, config);
-    }
-
-    return newConfig;
-  } catch (error) {
-    logger.error(`Failed to add server [${clientId}]: ${error}`);
-    throw error;
-  }
-}
-
-// 暂停服务器
-export async function pauseMcpServer(clientId: string) {
-  try {
-    const currentConfig = await getMcpConfigFromFile();
-    const serverConfig = currentConfig.mcpServers[clientId];
-    if (!serverConfig) {
-      throw new Error(`Server ${clientId} not found`);
-    }
-
-    // 先更新配置
-    const newConfig: McpConfigData = {
-      ...currentConfig,
-      mcpServers: {
-        ...currentConfig.mcpServers,
-        [clientId]: {
-          ...serverConfig,
-          status: "paused",
-        },
-      },
-    };
-    await updateMcpConfig(newConfig);
-
-    // 然后关闭客户端
-    const client = clientsMap.get(clientId);
-    if (client?.client) {
-      await removeClient(client.client);
-    }
-    clientsMap.delete(clientId);
-
-    return newConfig;
-  } catch (error) {
-    logger.error(`Failed to pause server [${clientId}]: ${error}`);
-    throw error;
-  }
-}
-
-// 恢复服务器
-export async function resumeMcpServer(clientId: string): Promise<void> {
-  try {
-    const currentConfig = await getMcpConfigFromFile();
-    const serverConfig = currentConfig.mcpServers[clientId];
-    if (!serverConfig) {
-      throw new Error(`Server ${clientId} not found`);
-    }
-
-    // 先尝试初始化客户端
-    logger.info(`Trying to initialize client [${clientId}]...`);
-    try {
-      const client = await createClient(clientId, serverConfig);
-      const tools = await listTools(client);
-      clientsMap.set(clientId, { client, tools, errorMsg: null });
-      logger.success(`Client [${clientId}] initialized successfully`);
-
-      // 初始化成功后更新配置
-      const newConfig: McpConfigData = {
-        ...currentConfig,
-        mcpServers: {
-          ...currentConfig.mcpServers,
-          [clientId]: {
-            ...serverConfig,
-            status: "active" as const,
-          },
-        },
-      };
-      await updateMcpConfig(newConfig);
-    } catch (error) {
-      const currentConfig = await getMcpConfigFromFile();
-      const serverConfig = currentConfig.mcpServers[clientId];
-
-      // 如果配置中存在该服务器，则更新其状态为 error
-      if (serverConfig) {
-        serverConfig.status = "error";
-        await updateMcpConfig(currentConfig);
-      }
-
-      // 初始化失败
-      clientsMap.set(clientId, {
-        client: null,
-        tools: null,
-        errorMsg: error instanceof Error ? error.message : String(error),
-      });
-      logger.error(`Failed to initialize client [${clientId}]: ${error}`);
-      throw error;
-    }
-  } catch (error) {
-    logger.error(`Failed to resume server [${clientId}]: ${error}`);
-    throw error;
-  }
-}
-
-// 移除服务器
-export async function removeMcpServer(clientId: string) {
-  try {
-    const currentConfig = await getMcpConfigFromFile();
-    const { [clientId]: _, ...rest } = currentConfig.mcpServers;
-    const newConfig = {
-      ...currentConfig,
-      mcpServers: rest,
-    };
-    await updateMcpConfig(newConfig);
-
-    // 关闭并移除客户端
-    const client = clientsMap.get(clientId);
-    if (client?.client) {
-      await removeClient(client.client);
-    }
-    clientsMap.delete(clientId);
-
-    return newConfig;
-  } catch (error) {
-    logger.error(`Failed to remove server [${clientId}]: ${error}`);
-    throw error;
-  }
-}
-
-// 重启所有客户端
-export async function restartAllClients() {
-  logger.info("Restarting all clients...");
-  try {
-    // 关闭所有客户端
-    for (const client of clientsMap.values()) {
-      if (client.client) {
-        await removeClient(client.client);
     }
   }
 
-    // 清空状态
+  return actionsHost;
-    clientsMap.clear();
+};
 
-    // 重新初始化
+export const getAvailableClientsCount = async () => {
-    const config = await getMcpConfigFromFile();
+  return (await actions()).getAvailableClientsCount();
-    for (const [clientId, serverConfig] of Object.entries(config.mcpServers)) {
+};
-      await initializeSingleClient(clientId, serverConfig);
+export const isMcpEnabled = async () => {
-    }
+  return (await actions()).isMcpEnabled();
-    return config;
+};
-  } catch (error) {
+export const initializeMcpSystem = async () => {
-    logger.error(`Failed to restart clients: ${error}`);
+  return (await actions()).initializeMcpSystem();
-    throw error;
+};
-  }
+export const addMcpServer = async (clientId: string, config: ServerConfig) => {
-}
+  return (await actions()).addMcpServer(clientId, config);
+};
 
-// 执行 MCP 请求
+export const getClientsStatus = async () => {
-export async function executeMcpAction(
+  return (await actions()).getClientsStatus();
+};
+export const getClientTools = async (clientId: string) => {
+  return (await actions()).getClientTools(clientId);
+};
+export const getMcpConfigFromFile = async () => {
+  return (await actions()).getMcpConfigFromFile();
+};
+export const pauseMcpServer = async (clientId: string) => {
+  return (await actions()).pauseMcpServer(clientId);
+};
+export const restartAllClients = async () => {
+  return (await actions()).restartAllClients();
+};
+export const resumeMcpServer = async (clientId: string) => {
+  return (await actions()).resumeMcpServer(clientId);
+};
+export const executeMcpAction = async (
   clientId: string,
   request: McpRequestMessage,
-) {
+) => {
-  try {
+  return (await actions()).executeMcpAction(clientId, request);
-    const client = clientsMap.get(clientId);
+};
-    if (!client?.client) {
+export const getAllTools = async () => {
-      throw new Error(`Client ${clientId} not found`);
+  return (await actions()).getAllTools();
-    }
+};
-    logger.info(`Executing request for [${clientId}]`);
-    return await executeRequest(client.client, request);
-  } catch (error) {
-    logger.error(`Failed to execute request for [${clientId}]: ${error}`);
-    throw error;
-  }
-}
-
-// 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);
-  } catch (error) {
-    logger.error(`Failed to load MCP config, using default config: ${error}`);
-    return DEFAULT_MCP_CONFIG;
-  }
-}
-
-// 更新 MCP 配置文件
-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));
-  } catch (error) {
-    throw error;
-  }
-}
-
-// 检查 MCP 是否启用
-export async function isMcpEnabled() {
-  try {
-    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();
@@ -12,7 +16,23 @@ export async function createClient(
 ): Promise<Client> {
   logger.info(`Creating client for ${id}...`);
 
-  const transport = new StdioClientTransport({
+  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. Please use SSE transport configuration instead.",
+      );
+    } else {
+      const { StdioClientTransport } = await import(
+        "@modelcontextprotocol/sdk/client/stdio.js"
+      );
+      transport = new StdioClientTransport({
         command: config.command,
         args: config.args,
         env: {
@@ -24,6 +44,8 @@ export async function createClient(
           ...(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: {
+  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

@@ -17,7 +17,6 @@ import {
   XAI_BASE_URL,
   CHATGLM_BASE_URL,
   SILICONFLOW_BASE_URL,
-  AI302_BASE_URL,
 } from "../constant";
 import { getHeaders } from "../client/api";
 import { getClientConfig } from "../config/client";
@@ -60,8 +59,6 @@ const DEFAULT_SILICONFLOW_URL = isApp
   ? SILICONFLOW_BASE_URL
   : ApiPath.SiliconFlow;
 
-const DEFAULT_AI302_URL = isApp ? AI302_BASE_URL : ApiPath["302.AI"];
-
 const DEFAULT_ACCESS_STATE = {
   accessCode: "",
   useCustomConfig: false,
@@ -135,10 +132,6 @@ const DEFAULT_ACCESS_STATE = {
   siliconflowUrl: DEFAULT_SILICONFLOW_URL,
   siliconflowApiKey: "",
 
-  // 302.AI
-  ai302Url: DEFAULT_AI302_URL,
-  ai302ApiKey: "",
-
   // server config
   needCode: true,
   hideUserApiKey: false,
@@ -250,7 +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;

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"],

yarn.lock

@@ -3077,9 +3077,9 @@ camelcase@^6.2.0:
   integrity sha512-Gmy6FhYlCY7uOElZUSbxo2UCDH8owEk996gkbrpsgGtrJLM3J7jGxl9Ic7Qwwj4ivOE5AWZWRMecDdF7hqGjFA==
 
 caniuse-lite@^1.0.30001449, caniuse-lite@^1.0.30001503, caniuse-lite@^1.0.30001579, caniuse-lite@^1.0.30001646:
-  version "1.0.30001724"
+  version "1.0.30001692"
-  resolved "https://mirrors.huaweicloud.com/repository/npm/caniuse-lite/-/caniuse-lite-1.0.30001724.tgz"
+  resolved "https://registry.npmjs.org/caniuse-lite/-/caniuse-lite-1.0.30001692.tgz"
-  integrity sha512-WqJo7p0TbHDOythNTqYujmaJTvtYRZrjpP8TCvH6Vb9CYJerJNKamKzIWOM4BkQatWj9H2lYulpdAQNBe7QhNA==
+  integrity sha512-A95VKan0kdtrsnMubMKxEKUKImOPSuCpYgxSQBo036P5YYgVIcOYJEgt/txJWqObiRQeISNCfef9nvlQ0vbV7A==
 
 ccount@^2.0.0:
   version "2.0.1"
@@ -4334,14 +4334,14 @@ eslint-plugin-react@^7.31.7:
 
 eslint-plugin-unused-imports@^3.2.0:
   version "3.2.0"
-  resolved "https://mirrors.huaweicloud.com/repository/npm/eslint-plugin-unused-imports/-/eslint-plugin-unused-imports-3.2.0.tgz#63a98c9ad5f622cd9f830f70bc77739f25ccfe0d"
+  resolved "https://registry.yarnpkg.com/eslint-plugin-unused-imports/-/eslint-plugin-unused-imports-3.2.0.tgz#63a98c9ad5f622cd9f830f70bc77739f25ccfe0d"
   integrity sha512-6uXyn6xdINEpxE1MtDjxQsyXB37lfyO2yKGVVgtD7WEWQGORSOZjgrD6hBhvGv4/SO+TOlS+UnC6JppRqbuwGQ==
   dependencies:
     eslint-rule-composer "^0.3.0"
 
 eslint-rule-composer@^0.3.0:
   version "0.3.0"
-  resolved "https://mirrors.huaweicloud.com/repository/npm/eslint-rule-composer/-/eslint-rule-composer-0.3.0.tgz#79320c927b0c5c0d3d3d2b76c8b4a488f25bbaf9"
+  resolved "https://registry.yarnpkg.com/eslint-rule-composer/-/eslint-rule-composer-0.3.0.tgz#79320c927b0c5c0d3d3d2b76c8b4a488f25bbaf9"
   integrity sha512-bt+Sh8CtDmn2OajxvNO+BX7Wn4CIWMpTRm3MaiKPCQcnnlm0CS2mhui6QaoeQugs+3Kj2ESKEEGJUdVafwhiCg==
 
 eslint-scope@5.1.1:
@@ -8156,7 +8156,7 @@ typed-array-length@^1.0.4:
 
 typescript@5.2.2:
   version "5.2.2"
-  resolved "https://mirrors.huaweicloud.com/repository/npm/typescript/-/typescript-5.2.2.tgz#5ebb5e5a5b75f085f22bc3f8460fba308310fa78"
+  resolved "https://registry.yarnpkg.com/typescript/-/typescript-5.2.2.tgz#5ebb5e5a5b75f085f22bc3f8460fba308310fa78"
   integrity sha512-mI4WrpHsbCIcwT9cF4FZvr80QUeKvsUsUvKDoR+X/7XHQH98xYD8YHZg7ANtz2GtZt/CBq2QJ0thkGJMHfqc1w==
 
 unbox-primitive@^1.0.2: