Merge 31129ba213 into 814fd2786e

Feat/support 302ai provider

.env.template

@@ -81,3 +81,9 @@ 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

@@ -6,7 +6,6 @@
 
 
 
-
 <h1 align="center">NextChat</h1>
 
 English / [简体中文](./README_CN.md)
@@ -22,12 +21,12 @@ 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) / [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.club) / [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.dev/
+[web-url]: https://app.nextchat.club/
 [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
@@ -36,17 +35,27 @@ English / [简体中文](./README_CN.md)
 
 [<img src="https://zeabur.com/button.svg" alt="Deploy on Zeabur" height="30">](https://zeabur.com/templates/ZBUEFA) [<img src="https://vercel.com/button" alt="Deploy on Vercel" height="30">](https://vercel.com/new/clone?repository-url=https%3A%2F%2Fgithub.com%2FChatGPTNextWeb%2FChatGPT-Next-Web&env=OPENAI_API_KEY&env=CODE&project-name=nextchat&repository-name=NextChat)  [<img src="https://gitpod.io/button/open-in-gitpod.svg" alt="Open in Gitpod" height="30">](https://gitpod.io/#https://github.com/ChatGPTNextWeb/NextChat) 
 
+
 [<img src="https://github.com/user-attachments/assets/903482d4-3e87-4134-9af1-f2588fa90659" height="50" width="" >](https://monica.im/?utm=nxcrp)
 
 </div>
 
-## 🥳 Cheer for DeepSeek, China's AI star!
+## ❤️ Sponsor AI API
- > Purpose-Built UI for DeepSeek Reasoner Model
+<a href='https://302.ai/'>
+  <img src="https://github.com/user-attachments/assets/a03edf82-2031-4f23-bdb8-bfc0bfd168a4" width="100%" 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.
+
+
+## 🥳 Cheer for NextChat iOS Version Online!
+> [👉 Click Here to Install Now](https://apps.apple.com/us/app/nextchat-ai/id6743085599)
+
+> [❤️ Source Code Coming Soon](https://github.com/ChatGPTNextWeb/NextChat-iOS)
+
+![Github iOS Image](https://github.com/user-attachments/assets/e0aa334f-4c13-4dc9-8310-e3b09fa4b9f3)
+
  
-<img src="https://github.com/user-attachments/assets/f3952210-3af1-4dc0-9b81-40eaa4847d9a"/>
-
-
-
 ## 🫣 NextChat Support MCP  ! 
 > Before build, please set env ENABLE_MCP=true
 

README_CN.md

@@ -4,6 +4,7 @@
   <img src="./docs/images/ent.svg" alt="icon"/>
 </a>
 
+
 <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。
@@ -14,6 +15,14 @@
 
 </div>
 
+## Sponsor AI API
+<a href='https://302.ai/'>
+  <img src="https://github.com/user-attachments/assets/d8c0c513-1e18-4d3b-a2a9-ff3696aec0d4" width="100%" 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。
+
+
 ## 企业版
 
 满足您公司私有化部署和定制需求

README_JA.md

@@ -1,6 +1,7 @@
 <div align="center">
 <img src="./docs/images/ent.svg" alt="プレビュー"/>
 
+
 <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。
@@ -12,6 +13,14 @@
 
 </div>
 
+## Sponsor AI API
+<a href='https://302.ai/'>
+  <img src="https://github.com/user-attachments/assets/6cf24233-1010-43e0-9a83-a11159866175" width="100%" 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。 
+
+
 ## 企業版
 
 あなたの会社のプライベートデプロイとカスタマイズのニーズに応える

app/api/302ai.ts

@@ -0,0 +1,128 @@
+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

@@ -15,6 +15,7 @@ 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,
@@ -52,6 +53,8 @@ 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

@@ -24,6 +24,7 @@ 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];
@@ -173,6 +174,9 @@ 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();
     }
@@ -265,6 +269,7 @@ 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
@@ -290,6 +295,8 @@ export function getHeaders(ignoreHeaders: boolean = false) {
       ? accessStore.iflytekApiKey && accessStore.iflytekApiSecret
         ? accessStore.iflytekApiKey + ":" + accessStore.iflytekApiSecret
         : ""
+      : isAI302
+      ? accessStore.ai302ApiKey
       : accessStore.openaiApiKey;
     return {
       isGoogle,
@@ -304,6 +311,7 @@ export function getHeaders(ignoreHeaders: boolean = false) {
       isXAI,
       isChatGLM,
       isSiliconFlow,
+      isAI302,
       apiKey,
       isEnabledAccessControl,
     };
@@ -332,6 +340,7 @@ export function getHeaders(ignoreHeaders: boolean = false) {
     isXAI,
     isChatGLM,
     isSiliconFlow,
+    isAI302,
     apiKey,
     isEnabledAccessControl,
   } = getConfig();
@@ -382,6 +391,8 @@ 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

@@ -0,0 +1,287 @@
+"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: "system" | "user" | "assistant";
+    role: "developer" | "system" | "user" | "assistant";
     content: string | MultimodalContent[];
   }[];
   stream?: boolean;
@@ -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,
@@ -237,13 +238,21 @@ 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;
       }
 
       // add max_tokens to vision model
-      if (visionModel) {
+      if (visionModel && !isO1OrO3) {
         requestPayload["max_tokens"] = Math.max(modelConfig.max_tokens, 4000);
       }
     }

app/components/chat.tsx

@@ -18,6 +18,7 @@ import ReturnIcon from "../icons/return.svg";
 import CopyIcon from "../icons/copy.svg";
 import SpeakIcon from "../icons/speak.svg";
 import SpeakStopIcon from "../icons/speak-stop.svg";
+import LoadingIcon from "../icons/three-dots.svg";
 import LoadingButtonIcon from "../icons/loading.svg";
 import PromptIcon from "../icons/prompt.svg";
 import MaskIcon from "../icons/mask.svg";
@@ -78,6 +79,8 @@ import {
 
 import { uploadImage as uploadImageRemote } from "@/app/utils/chat";
 
+import dynamic from "next/dynamic";
+
 import { ChatControllerPool } from "../client/controller";
 import { DalleQuality, DalleStyle, ModelSize } from "../typing";
 import { Prompt, usePromptStore } from "../store/prompt";
@@ -122,15 +125,14 @@ import { getModelProvider } from "../utils/model";
 import { RealtimeChat } from "@/app/components/realtime-chat";
 import clsx from "clsx";
 import { getAvailableClientsCount, isMcpEnabled } from "../mcp/actions";
-import { Markdown } from "./markdown";
 
 const localStorage = safeLocalStorage();
 
 const ttsPlayer = createTTSPlayer();
 
-// const Markdown = dynamic(async () => (await import("./markdown")).Markdown, {
+const Markdown = dynamic(async () => (await import("./markdown")).Markdown, {
-//   loading: () => <LoadingIcon />,
+  loading: () => <LoadingIcon />,
-// });
+});
 
 const MCPAction = () => {
   const navigate = useNavigate();
@@ -1982,8 +1984,6 @@ function _Chat() {
                               fontFamily={fontFamily}
                               parentRef={scrollRef}
                               defaultShow={i >= messages.length - 6}
-                              immediatelyRender={i >= messages.length - 3}
-                              streaming={message.streaming}
                             />
                             {getMessageImages(message).length == 1 && (
                               <img

app/components/markdown.tsx

@@ -267,136 +267,6 @@ function tryWrapHtmlCode(text: string) {
     );
 }
 
-// Split content into paragraphs while preserving code blocks
-function splitContentIntoParagraphs(content: string) {
-  // Check for unclosed code blocks
-  const codeBlockStartCount = (content.match(/```/g) || []).length;
-  let processedContent = content;
-
-  // Add closing tag if there's an odd number of code block markers
-  if (codeBlockStartCount % 2 !== 0) {
-    processedContent = content + "\n```";
-  }
-
-  // Extract code blocks
-  const codeBlockRegex = /```[\s\S]*?```/g;
-  const codeBlocks: string[] = [];
-  let codeBlockCounter = 0;
-
-  // Replace code blocks with placeholders
-  const contentWithPlaceholders = processedContent.replace(
-    codeBlockRegex,
-    (match) => {
-      codeBlocks.push(match);
-      const placeholder = `__CODE_BLOCK_${codeBlockCounter++}__`;
-      return placeholder;
-    },
-  );
-
-  // Split by double newlines
-  const paragraphs = contentWithPlaceholders
-    .split(/\n\n+/)
-    .filter((p) => p.trim());
-
-  // Restore code blocks
-  return paragraphs.map((p) => {
-    if (p.match(/__CODE_BLOCK_\d+__/)) {
-      return p.replace(/__CODE_BLOCK_\d+__/g, (match) => {
-        const index = parseInt(match.match(/\d+/)?.[0] || "0");
-        return codeBlocks[index] || match;
-      });
-    }
-    return p;
-  });
-}
-
-// Lazy-loaded paragraph component
-function MarkdownParagraph({
-  content,
-  onLoad,
-}: {
-  content: string;
-  onLoad?: () => void;
-}) {
-  const [isLoaded, setIsLoaded] = useState(false);
-  const placeholderRef = useRef<HTMLDivElement>(null);
-  const [isVisible, setIsVisible] = useState(false);
-
-  useEffect(() => {
-    let observer: IntersectionObserver;
-    if (placeholderRef.current) {
-      observer = new IntersectionObserver(
-        (entries) => {
-          if (entries[0].isIntersecting) {
-            setIsVisible(true);
-          }
-        },
-        { threshold: 0.1, rootMargin: "200px 0px" },
-      );
-      observer.observe(placeholderRef.current);
-    }
-    return () => observer?.disconnect();
-  }, []);
-
-  useEffect(() => {
-    if (isVisible && !isLoaded) {
-      setIsLoaded(true);
-      onLoad?.();
-    }
-  }, [isVisible, isLoaded, onLoad]);
-
-  // Generate preview content
-  const previewContent = useMemo(() => {
-    if (content.startsWith("```")) {
-      return "```" + (content.split("\n")[0] || "").slice(3) + "...```";
-    }
-    return content.length > 60 ? content.slice(0, 60) + "..." : content;
-  }, [content]);
-
-  return (
-    <div className="markdown-paragraph" ref={placeholderRef}>
-      {!isLoaded ? (
-        <div className="markdown-paragraph-placeholder">{previewContent}</div>
-      ) : (
-        <_MarkDownContent content={content} />
-      )}
-    </div>
-  );
-}
-
-// Memoized paragraph component to prevent unnecessary re-renders
-const MemoizedMarkdownParagraph = React.memo(
-  ({ content }: { content: string }) => {
-    return <_MarkDownContent content={content} />;
-  },
-  (prevProps, nextProps) => prevProps.content === nextProps.content,
-);
-
-MemoizedMarkdownParagraph.displayName = "MemoizedMarkdownParagraph";
-
-// Specialized component for streaming content
-function StreamingMarkdownContent({ content }: { content: string }) {
-  const paragraphs = useMemo(
-    () => splitContentIntoParagraphs(content),
-    [content],
-  );
-  const lastParagraphRef = useRef<HTMLDivElement>(null);
-
-  return (
-    <div className="markdown-streaming-content">
-      {paragraphs.map((paragraph, index) => (
-        <div
-          key={`p-${index}-${paragraph.substring(0, 20)}`}
-          className="markdown-paragraph markdown-streaming-paragraph"
-          ref={index === paragraphs.length - 1 ? lastParagraphRef : null}
-        >
-          <MemoizedMarkdownParagraph content={paragraph} />
-        </div>
-      ))}
-    </div>
-  );
-}
-
 function _MarkDownContent(props: { content: string }) {
   const escapedContent = useMemo(() => {
     return tryWrapHtmlCode(escapeBrackets(props.content));
@@ -456,27 +326,9 @@ export function Markdown(
     fontFamily?: string;
     parentRef?: RefObject<HTMLDivElement>;
     defaultShow?: boolean;
-    immediatelyRender?: boolean;
-    streaming?: boolean; // Whether this is a streaming response
   } & React.DOMAttributes<HTMLDivElement>,
 ) {
   const mdRef = useRef<HTMLDivElement>(null);
-  const paragraphs = useMemo(
-    () => splitContentIntoParagraphs(props.content),
-    [props.content],
-  );
-  const [loadedCount, setLoadedCount] = useState(0);
-
-  // Determine rendering strategy based on props
-  const shouldAsyncRender =
-    !props.immediatelyRender && !props.streaming && paragraphs.length > 1;
-
-  useEffect(() => {
-    // Immediately render all paragraphs if specified
-    if (props.immediatelyRender) {
-      setLoadedCount(paragraphs.length);
-    }
-  }, [props.immediatelyRender, paragraphs.length]);
 
   return (
     <div
@@ -492,24 +344,6 @@ export function Markdown(
     >
       {props.loading ? (
         <LoadingIcon />
-      ) : props.streaming ? (
-        // Use specialized component for streaming content
-        <StreamingMarkdownContent content={props.content} />
-      ) : shouldAsyncRender ? (
-        <div className="markdown-content">
-          {paragraphs.map((paragraph, index) => (
-            <MarkdownParagraph
-              key={index}
-              content={paragraph}
-              onLoad={() => setLoadedCount((prev) => prev + 1)}
-            />
-          ))}
-          {loadedCount < paragraphs.length && loadedCount > 0 && (
-            <div className="markdown-paragraph-loading">
-              <LoadingIcon />
-            </div>
-          )}
-        </div>
       ) : (
         <MarkdownContent content={props.content} />
       )}

app/components/settings.tsx

@@ -75,6 +75,7 @@ import {
   ChatGLM,
   DeepSeek,
   SiliconFlow,
+  AI302,
 } from "../constant";
 import { Prompt, SearchService, usePromptStore } from "../store/prompt";
 import { ErrorBoundary } from "./error";
@@ -1458,6 +1459,46 @@ 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>
@@ -1822,6 +1863,7 @@ export function Settings() {
                   {XAIConfigComponent}
                   {chatglmConfigComponent}
                   {siliconflowConfigComponent}
+                  {ai302ConfigComponent}
                 </>
               )}
             </>

app/config/server.ts

@@ -88,6 +88,10 @@ 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;
 
@@ -163,6 +167,7 @@ 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);
@@ -246,6 +251,10 @@ 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

@@ -36,6 +36,8 @@ 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`;
 
@@ -72,6 +74,7 @@ export enum ApiPath {
   ChatGLM = "/api/chatglm",
   DeepSeek = "/api/deepseek",
   SiliconFlow = "/api/siliconflow",
+  "302.AI" = "/api/302ai",
 }
 
 export enum SlotID {
@@ -130,6 +133,7 @@ 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
@@ -156,6 +160,7 @@ export enum ModelProvider {
   ChatGLM = "ChatGLM",
   DeepSeek = "DeepSeek",
   SiliconFlow = "SiliconFlow",
+  "302.AI" = "302.AI",
 }
 
 export const Stability = {
@@ -266,6 +271,13 @@ 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}}.
@@ -417,6 +429,14 @@ 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",
@@ -458,6 +478,7 @@ export const DEFAULT_TTS_VOICES = [
 export const VISION_MODEL_REGEXES = [
   /vision/,
   /gpt-4o/,
+  /gpt-4\.1/,
   /claude-3/,
   /gemini-1\.5/,
   /gemini-exp/,
@@ -469,6 +490,8 @@ 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/];
@@ -485,6 +508,14 @@ 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",
@@ -499,23 +530,20 @@ const openaiModels = [
   "o1-mini",
   "o1-preview",
   "o3-mini",
+  "o3",
+  "o4-mini",
 ];
 
 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",
@@ -525,6 +553,7 @@ 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 = [
@@ -611,6 +640,18 @@ 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 = [
@@ -650,6 +691,31 @@ 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) => ({
@@ -806,6 +872,17 @@ 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

@@ -416,6 +416,17 @@ 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

@@ -423,6 +423,17 @@ 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

@@ -538,6 +538,17 @@ 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

@@ -423,6 +423,17 @@ 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

@@ -517,6 +517,17 @@ 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

@@ -434,6 +434,17 @@ 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

@@ -543,6 +543,17 @@ 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

@@ -436,6 +436,17 @@ 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

@@ -435,6 +435,17 @@ 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

@@ -424,6 +424,17 @@ 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

@@ -436,6 +436,17 @@ 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

@@ -420,6 +420,17 @@ 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

@@ -421,6 +421,17 @@ 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

@@ -433,6 +433,17 @@ 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

@@ -359,6 +359,17 @@ 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

@@ -426,6 +426,17 @@ 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

@@ -381,6 +381,17 @@ 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

@@ -426,6 +426,17 @@ 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

@@ -382,6 +382,17 @@ 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

@@ -422,6 +422,17 @@ 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/store/access.ts

@@ -17,6 +17,7 @@ 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";
@@ -59,6 +60,8 @@ 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,
@@ -132,6 +135,10 @@ const DEFAULT_ACCESS_STATE = {
   siliconflowUrl: DEFAULT_SILICONFLOW_URL,
   siliconflowApiKey: "",
 
+  // 302.AI
+  ai302Url: DEFAULT_AI302_URL,
+  ai302ApiKey: "",
+
   // server config
   needCode: true,
   hideUserApiKey: false,

app/styles/markdown.scss

@@ -99,7 +99,6 @@
   font-size: 14px;
   line-height: 1.5;
   word-wrap: break-word;
-  margin-bottom: 0;
 }
 
 .light {
@@ -359,14 +358,8 @@
 .markdown-body kbd {
   display: inline-block;
   padding: 3px 5px;
-  font:
+  font: 11px ui-monospace, SFMono-Regular, SF Mono, Menlo, Consolas,
-    11px ui-monospace,
+    Liberation Mono, monospace;
-    SFMono-Regular,
-    SF Mono,
-    Menlo,
-    Consolas,
-    Liberation Mono,
-    monospace;
   line-height: 10px;
   color: var(--color-fg-default);
   vertical-align: middle;
@@ -455,28 +448,16 @@
 .markdown-body tt,
 .markdown-body code,
 .markdown-body samp {
-  font-family:
+  font-family: ui-monospace, SFMono-Regular, SF Mono, Menlo, Consolas,
-    ui-monospace,
+    Liberation Mono, monospace;
-    SFMono-Regular,
-    SF Mono,
-    Menlo,
-    Consolas,
-    Liberation Mono,
-    monospace;
   font-size: 12px;
 }
 
 .markdown-body pre {
   margin-top: 0;
   margin-bottom: 0;
-  font-family:
+  font-family: ui-monospace, SFMono-Regular, SF Mono, Menlo, Consolas,
-    ui-monospace,
+    Liberation Mono, monospace;
-    SFMono-Regular,
-    SF Mono,
-    Menlo,
-    Consolas,
-    Liberation Mono,
-    monospace;
   font-size: 12px;
   word-wrap: normal;
 }
@@ -1149,87 +1130,3 @@
 #dmermaid {
   display: none;
 }
-
-.markdown-content {
-  width: 100%;
-}
-
-.markdown-paragraph {
-  transition: opacity 0.3s ease;
-  margin-bottom: 0.5em;
-
-  &.markdown-paragraph-visible {
-    opacity: 1;
-  }
-
-  &.markdown-paragraph-hidden {
-    opacity: 0.7;
-  }
-}
-
-.markdown-paragraph-placeholder {
-  padding: 8px;
-  color: var(--color-fg-subtle);
-  background-color: var(--color-canvas-subtle);
-  border-radius: 6px;
-  border-left: 3px solid var(--color-border-muted);
-  white-space: nowrap;
-  overflow: hidden;
-  text-overflow: ellipsis;
-  font-family: var(--font-family-sans);
-  font-size: 14px;
-  min-height: 1.2em;
-}
-
-.markdown-paragraph-loading {
-  height: 20px;
-  background-color: var(--color-canvas-subtle);
-  border-radius: 6px;
-  margin-bottom: 8px;
-  position: relative;
-  overflow: hidden;
-
-  &::after {
-    content: "";
-    position: absolute;
-    top: 0;
-    left: 0;
-    width: 30%;
-    height: 100%;
-    background: linear-gradient(
-      90deg,
-      transparent,
-      rgba(255, 255, 255, 0.1),
-      transparent
-    );
-    animation: shimmer 1.5s infinite;
-  }
-}
-
-@keyframes shimmer {
-  0% {
-    transform: translateX(-100%);
-  }
-  100% {
-    transform: translateX(200%);
-  }
-}
-
-.markdown-streaming-content {
-  width: 100%;
-}
-
-.markdown-streaming-paragraph {
-  opacity: 1;
-  animation: fadeIn 0.3s ease-in-out;
-  margin-bottom: 0.5em;
-}
-
-@keyframes fadeIn {
-  from {
-    opacity: 0.5;
-  }
-  to {
-    opacity: 1;
-  }
-}

package.json

@@ -81,7 +81,7 @@
     "eslint-plugin-unused-imports": "^3.2.0",
     "husky": "^8.0.0",
     "jest": "^29.7.0",
-    "jest-environment-jsdom": "^29.7.0",
+    "jest-environment-jsdom": "^30.0.2",
     "lint-staged": "^13.2.2",
     "prettier": "^3.0.2",
     "ts-node": "^10.9.2",