Bump prettier from 3.0.2 to 3.6.2

---
updated-dependencies:
- dependency-name: prettier
  dependency-version: 3.6.2
  dependency-type: direct:development
  update-type: version-update:semver-minor
...

Signed-off-by: dependabot[bot] <support@github.com>

README.md

@@ -22,12 +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) / [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
@@ -40,13 +40,14 @@ English / [简体中文](./README_CN.md)
 
 </div>
 
-## 🥳 Cheer for DeepSeek, China's AI star!
- > Purpose-Built UI for DeepSeek Reasoner Model
+## 🥳 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
 

app/api/common.ts

@@ -90,14 +90,6 @@ export async function requestOpenai(req: NextRequest) {
 
   const fetchUrl = cloudflareAIGatewayUrl(`${baseUrl}/${path}`);
   console.log("fetchUrl", fetchUrl);
-
-  let payload = await req.text();
-  if (baseUrl.includes("openrouter.ai")) {
-    const body = JSON.parse(payload);
-    body["include_reasoning"] = true;
-    payload = JSON.stringify(body);
-  }
-
   const fetchOptions: RequestInit = {
     headers: {
       "Content-Type": "application/json",
@@ -108,7 +100,7 @@ export async function requestOpenai(req: NextRequest) {
       }),
     },
     method: req.method,
-    body: payload,
+    body: req.body,
     // to fix #2485: https://stackoverflow.com/questions/55920957/cloudflare-worker-typeerror-one-time-use-body
     redirect: "manual",
     // @ts-ignore
@@ -119,7 +111,10 @@ export async function requestOpenai(req: NextRequest) {
   // #1815 try to refuse gpt4 request
   if (serverConfig.customModels && req.body) {
     try {
-      const jsonBody = JSON.parse(payload) as { model?: string };
+      const clonedBody = await req.text();
+      fetchOptions.body = clonedBody;
+
+      const jsonBody = JSON.parse(clonedBody) as { model?: string };
 
       // not undefined and is false
       if (

app/client/platforms/openai.ts

@@ -2,10 +2,10 @@
 // azure and openai, using same models. so using same LLMApi.
 import {
   ApiPath,
-  Azure,
-  DEFAULT_MODELS,
   OPENAI_BASE_URL,
+  DEFAULT_MODELS,
   OpenaiPath,
+  Azure,
   REQUEST_TIMEOUT_MS,
   ServiceProvider,
 } from "@/app/constant";
@@ -18,13 +18,13 @@ import {
 } from "@/app/store";
 import { collectModelsWithDefaultModel } from "@/app/utils/model";
 import {
-  base64Image2Blob,
   preProcessImageContent,
-  streamWithThink,
   uploadImage,
+  base64Image2Blob,
+  streamWithThink,
 } from "@/app/utils/chat";
 import { cloudflareAIGatewayUrl } from "@/app/utils/cloudflare";
-import { DalleQuality, DalleStyle, ModelSize } from "@/app/typing";
+import { ModelSize, DalleQuality, DalleStyle } from "@/app/typing";
 
 import {
   ChatOptions,
@@ -39,9 +39,9 @@ import Locale from "../../locales";
 import { getClientConfig } from "@/app/config/client";
 import {
   getMessageTextContent,
-  getTimeoutMSByModel,
-  isDalle3 as _isDalle3,
   isVisionModel,
+  isDalle3 as _isDalle3,
+  getTimeoutMSByModel,
 } from "@/app/utils";
 import { fetch } from "@/app/utils/stream";
 
@@ -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);
       }
     }
@@ -294,13 +303,6 @@ export class ChatGPTApi implements LLMApi {
             useChatStore.getState().currentSession().mask?.plugin || [],
           );
         // console.log("getAsTools", tools, funcs);
-
-        // Add "include_reasoning" for OpenRouter: https://openrouter.ai/announcements/reasoning-tokens-for-thinking-models
-        if (chatPath.includes("openrouter.ai")) {
-          // @ts-ignore
-          requestPayload["include_reasoning"] = true;
-        }
-
         streamWithThink(
           chatPath,
           requestPayload,
@@ -317,7 +319,6 @@ export class ChatGPTApi implements LLMApi {
                 content: string;
                 tool_calls: ChatMessageTool[];
                 reasoning_content: string | null;
-                reasoning: string | null;
               };
             }>;
 
@@ -343,9 +344,7 @@ export class ChatGPTApi implements LLMApi {
               }
             }
 
-            const reasoning =
-              choices[0]?.delta?.reasoning_content ||
-              choices[0]?.delta?.reasoning;
+            const reasoning = choices[0]?.delta?.reasoning_content;
             const content = choices[0]?.delta?.content;
 
             // Skip if both content and reasoning_content are empty or null
@@ -421,7 +420,6 @@ export class ChatGPTApi implements LLMApi {
       options.onError?.(e as Error);
     }
   }
-
   async usage() {
     const formatDate = (d: Date) =>
       `${d.getFullYear()}-${(d.getMonth() + 1).toString().padStart(2, "0")}-${d
@@ -525,5 +523,4 @@ export class ChatGPTApi implements LLMApi {
     }));
   }
 }
-
 export { OpenaiPath };

app/constant.ts

@@ -478,6 +478,8 @@ export const VISION_MODEL_REGEXES = [
   /^dall-e-3$/, // Matches exactly "dall-e-3"
   /glm-4v/,
   /vl/i,
+  /o3/,
+  /o4-mini/,
 ];
 
 export const EXCLUDE_VISION_MODEL_REGEXES = [/claude-3-5-haiku-20241022/];
@@ -516,23 +518,20 @@ 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",
@@ -542,6 +541,7 @@ 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 = [
@@ -628,6 +628,18 @@ 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 = [

app/utils/chat.ts

@@ -1,7 +1,7 @@
 import {
   CACHE_URL_PREFIX,
-  REQUEST_TIMEOUT_MS,
   UPLOAD_URL,
+  REQUEST_TIMEOUT_MS,
 } from "@/app/constant";
 import { MultimodalContent, RequestMessage } from "@/app/client/api";
 import Locale from "@/app/locales";
@@ -111,7 +111,6 @@ export async function preProcessImageContentForAlibabaDashScope(
 }
 
 const imageCaches: Record<string, string> = {};
-
 export function cacheImageToBase64Image(imageUrl: string) {
   if (imageUrl.includes(CACHE_URL_PREFIX)) {
     if (!imageCaches[imageUrl]) {
@@ -386,7 +385,6 @@ export function stream(
       openWhenHidden: true,
     });
   }
-
   console.debug("[ChatAPI] start");
   chatApi(chatPath, headers, requestPayload, tools); // call fetchEventSource
 }
@@ -629,9 +627,16 @@ export function streamWithThink(
               if (remainText.length > 0) {
                 remainText += "\n";
               }
-              remainText += "> ";
+              remainText += "> " + chunk.content;
+            } else {
+              // Handle newlines in thinking content
+              if (chunk.content.includes("\n\n")) {
+                const lines = chunk.content.split("\n\n");
+                remainText += lines.join("\n\n> ");
+              } else {
+                remainText += chunk.content;
+              }
             }
-            remainText += chunk.content.replaceAll("\n", "\n> ");
           } else {
             // If in normal mode
             if (isInThinkingMode || isThinkingChanged) {
@@ -657,7 +662,6 @@ export function streamWithThink(
       openWhenHidden: true,
     });
   }
-
   console.debug("[ChatAPI] start");
   chatApi(chatPath, headers, requestPayload, tools); // call fetchEventSource
 }

package.json

@@ -83,7 +83,7 @@
     "jest": "^29.7.0",
     "jest-environment-jsdom": "^29.7.0",
     "lint-staged": "^13.2.2",
-    "prettier": "^3.0.2",
+    "prettier": "^3.6.2",
     "ts-node": "^10.9.2",
     "tsx": "^4.16.0",
     "typescript": "5.2.2",

yarn.lock

@@ -7076,10 +7076,10 @@ prettier-linter-helpers@^1.0.0:
   dependencies:
     fast-diff "^1.1.2"
 
-prettier@^3.0.2:
-  version "3.0.2"
-  resolved "https://registry.yarnpkg.com/prettier/-/prettier-3.0.2.tgz#78fcecd6d870551aa5547437cdae39d4701dca5b"
-  integrity sha512-o2YR9qtniXvwEZlOKbveKfDQVyqxbEIWn48Z8m3ZJjBjcCmUy3xZGIv+7AkaeuaTr6yPXJjwv07ZWlsWbEy1rQ==
+prettier@^3.6.2:
+  version "3.6.2"
+  resolved "https://registry.yarnpkg.com/prettier/-/prettier-3.6.2.tgz#ccda02a1003ebbb2bfda6f83a074978f608b9393"
+  integrity sha512-I7AIg5boAr5R0FFtJ6rCfD+LFsWHp81dolrFD8S79U9tb8Az2nGrJncnMSnys+bpQJfRUzqs9hnA81OAA3hCuQ==
 
 pretty-format@^27.0.2:
   version "27.5.1"