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32
README.md
32
README.md
@@ -7,7 +7,7 @@
|
||||
|
||||
|
||||
|
||||
<h1 align="center">NextChat (ChatGPT Next Web)</h1>
|
||||
<h1 align="center">NextChat</h1>
|
||||
|
||||
English / [简体中文](./README_CN.md)
|
||||
|
||||
@@ -22,13 +22,12 @@ English / [简体中文](./README_CN.md)
|
||||
[![MacOS][MacOS-image]][download-url]
|
||||
[![Linux][Linux-image]][download-url]
|
||||
|
||||
[NextChatAI](https://nextchat.dev/chat?utm_source=readme) / [Web App Demo](https://app.nextchat.dev) / [Desktop App](https://github.com/Yidadaa/ChatGPT-Next-Web/releases)
|
||||
[NextChatAI](https://nextchat.club?utm_source=readme) / [Web App Demo](https://app.nextchat.dev) / [Desktop App](https://github.com/Yidadaa/ChatGPT-Next-Web/releases) / [Discord](https://discord.gg/YCkeafCafC) / [Enterprise Edition](#enterprise-edition) / [Twitter](https://twitter.com/NextChatDev)
|
||||
[NextChatAI](https://nextchat.club?utm_source=readme) / [iOS APP](https://apps.apple.com/us/app/nextchat-ai/id6743085599) / [Web App Demo](https://app.nextchat.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
|
||||
@@ -41,29 +40,12 @@ English / [简体中文](./README_CN.md)
|
||||
|
||||
</div>
|
||||
|
||||
## 👋 Hey, NextChat is going to develop a native app!
|
||||
## 🥳 Cheer for NextChat iOS Version Online!
|
||||
> [👉 Click Here to Install Now](https://apps.apple.com/us/app/nextchat-ai/id6743085599)
|
||||
|
||||
> This week we are going to start working on iOS and Android APP, and we want to find some reliable friends to do it together!
|
||||
|
||||
|
||||
✨ Several key points:
|
||||
|
||||
- Starting from 0, you are a veteran
|
||||
- Completely open source, not hidden
|
||||
- Native development, pursuing the ultimate experience
|
||||
|
||||
Will you come and do something together? 😎
|
||||
|
||||
https://github.com/ChatGPTNextWeb/NextChat/issues/6269
|
||||
|
||||
#Seeking for talents is thirsty #lack of people"
|
||||
|
||||
|
||||
## 🥳 Cheer for DeepSeek, China's AI star!
|
||||
> Purpose-Built UI for DeepSeek Reasoner Model
|
||||
|
||||
<img src="https://github.com/user-attachments/assets/f3952210-3af1-4dc0-9b81-40eaa4847d9a"/>
|
||||
> [❤️ Source Code Coming Soon](https://github.com/ChatGPTNextWeb/NextChat-iOS)
|
||||
|
||||

|
||||
|
||||
|
||||
## 🫣 NextChat Support MCP !
|
||||
|
@@ -40,6 +40,11 @@ export interface MultimodalContent {
|
||||
};
|
||||
}
|
||||
|
||||
export interface MultimodalContentForAlibaba {
|
||||
text?: string;
|
||||
image?: string;
|
||||
}
|
||||
|
||||
export interface RequestMessage {
|
||||
role: MessageRole;
|
||||
content: string | MultimodalContent[];
|
||||
|
@@ -7,7 +7,10 @@ import {
|
||||
ChatMessageTool,
|
||||
usePluginStore,
|
||||
} from "@/app/store";
|
||||
import { streamWithThink } from "@/app/utils/chat";
|
||||
import {
|
||||
preProcessImageContentForAlibabaDashScope,
|
||||
streamWithThink,
|
||||
} from "@/app/utils/chat";
|
||||
import {
|
||||
ChatOptions,
|
||||
getHeaders,
|
||||
@@ -15,12 +18,14 @@ import {
|
||||
LLMModel,
|
||||
SpeechOptions,
|
||||
MultimodalContent,
|
||||
MultimodalContentForAlibaba,
|
||||
} from "../api";
|
||||
import { getClientConfig } from "@/app/config/client";
|
||||
import {
|
||||
getMessageTextContent,
|
||||
getMessageTextContentWithoutThinking,
|
||||
getTimeoutMSByModel,
|
||||
isVisionModel,
|
||||
} from "@/app/utils";
|
||||
import { fetch } from "@/app/utils/stream";
|
||||
|
||||
@@ -89,14 +94,6 @@ export class QwenApi implements LLMApi {
|
||||
}
|
||||
|
||||
async chat(options: ChatOptions) {
|
||||
const messages = options.messages.map((v) => ({
|
||||
role: v.role,
|
||||
content:
|
||||
v.role === "assistant"
|
||||
? getMessageTextContentWithoutThinking(v)
|
||||
: getMessageTextContent(v),
|
||||
}));
|
||||
|
||||
const modelConfig = {
|
||||
...useAppConfig.getState().modelConfig,
|
||||
...useChatStore.getState().currentSession().mask.modelConfig,
|
||||
@@ -105,6 +102,21 @@ export class QwenApi implements LLMApi {
|
||||
},
|
||||
};
|
||||
|
||||
const visionModel = isVisionModel(options.config.model);
|
||||
|
||||
const messages: ChatOptions["messages"] = [];
|
||||
for (const v of options.messages) {
|
||||
const content = (
|
||||
visionModel
|
||||
? await preProcessImageContentForAlibabaDashScope(v.content)
|
||||
: v.role === "assistant"
|
||||
? getMessageTextContentWithoutThinking(v)
|
||||
: getMessageTextContent(v)
|
||||
) as any;
|
||||
|
||||
messages.push({ role: v.role, content });
|
||||
}
|
||||
|
||||
const shouldStream = !!options.config.stream;
|
||||
const requestPayload: RequestPayload = {
|
||||
model: modelConfig.model,
|
||||
@@ -129,7 +141,7 @@ export class QwenApi implements LLMApi {
|
||||
"X-DashScope-SSE": shouldStream ? "enable" : "disable",
|
||||
};
|
||||
|
||||
const chatPath = this.path(Alibaba.ChatPath);
|
||||
const chatPath = this.path(Alibaba.ChatPath(modelConfig.model));
|
||||
const chatPayload = {
|
||||
method: "POST",
|
||||
body: JSON.stringify(requestPayload),
|
||||
@@ -162,7 +174,7 @@ export class QwenApi implements LLMApi {
|
||||
const json = JSON.parse(text);
|
||||
const choices = json.output.choices as Array<{
|
||||
message: {
|
||||
content: string | null;
|
||||
content: string | null | MultimodalContentForAlibaba[];
|
||||
tool_calls: ChatMessageTool[];
|
||||
reasoning_content: string | null;
|
||||
};
|
||||
@@ -212,7 +224,9 @@ export class QwenApi implements LLMApi {
|
||||
} else if (content && content.length > 0) {
|
||||
return {
|
||||
isThinking: false,
|
||||
content: content,
|
||||
content: Array.isArray(content)
|
||||
? content.map((item) => item.text).join(",")
|
||||
: content,
|
||||
};
|
||||
}
|
||||
|
||||
|
@@ -75,6 +75,25 @@ export class DeepSeekApi implements LLMApi {
|
||||
}
|
||||
}
|
||||
|
||||
// 检测并修复消息顺序,确保除system外的第一个消息是user
|
||||
const filteredMessages: ChatOptions["messages"] = [];
|
||||
let hasFoundFirstUser = false;
|
||||
|
||||
for (const msg of messages) {
|
||||
if (msg.role === "system") {
|
||||
// Keep all system messages
|
||||
filteredMessages.push(msg);
|
||||
} else if (msg.role === "user") {
|
||||
// User message directly added
|
||||
filteredMessages.push(msg);
|
||||
hasFoundFirstUser = true;
|
||||
} else if (hasFoundFirstUser) {
|
||||
// After finding the first user message, all subsequent non-system messages are retained.
|
||||
filteredMessages.push(msg);
|
||||
}
|
||||
// If hasFoundFirstUser is false and it is not a system message, it will be skipped.
|
||||
}
|
||||
|
||||
const modelConfig = {
|
||||
...useAppConfig.getState().modelConfig,
|
||||
...useChatStore.getState().currentSession().mask.modelConfig,
|
||||
@@ -85,7 +104,7 @@ export class DeepSeekApi implements LLMApi {
|
||||
};
|
||||
|
||||
const requestPayload: RequestPayload = {
|
||||
messages,
|
||||
messages: filteredMessages,
|
||||
stream: options.config.stream,
|
||||
model: modelConfig.model,
|
||||
temperature: modelConfig.temperature,
|
||||
|
@@ -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);
|
||||
}
|
||||
}
|
||||
|
@@ -66,11 +66,11 @@ export function Avatar(props: { model?: ModelType; avatar?: string }) {
|
||||
LlmIcon = BotIconGemma;
|
||||
} else if (modelName.startsWith("claude")) {
|
||||
LlmIcon = BotIconClaude;
|
||||
} else if (modelName.toLowerCase().includes("llama")) {
|
||||
} else if (modelName.includes("llama")) {
|
||||
LlmIcon = BotIconMeta;
|
||||
} else if (modelName.startsWith("mixtral")) {
|
||||
} else if (modelName.startsWith("mixtral") || modelName.startsWith("codestral")) {
|
||||
LlmIcon = BotIconMistral;
|
||||
} else if (modelName.toLowerCase().includes("deepseek")) {
|
||||
} else if (modelName.includes("deepseek")) {
|
||||
LlmIcon = BotIconDeepseek;
|
||||
} else if (modelName.startsWith("moonshot")) {
|
||||
LlmIcon = BotIconMoonshot;
|
||||
@@ -85,7 +85,7 @@ export function Avatar(props: { model?: ModelType; avatar?: string }) {
|
||||
} else if (modelName.startsWith("doubao") || modelName.startsWith("ep-")) {
|
||||
LlmIcon = BotIconDoubao;
|
||||
} else if (
|
||||
modelName.toLowerCase().includes("glm") ||
|
||||
modelName.includes("glm") ||
|
||||
modelName.startsWith("cogview-") ||
|
||||
modelName.startsWith("cogvideox-")
|
||||
) {
|
||||
|
@@ -221,7 +221,12 @@ export const ByteDance = {
|
||||
|
||||
export const Alibaba = {
|
||||
ExampleEndpoint: ALIBABA_BASE_URL,
|
||||
ChatPath: "v1/services/aigc/text-generation/generation",
|
||||
ChatPath: (modelName: string) => {
|
||||
if (modelName.includes("vl") || modelName.includes("omni")) {
|
||||
return "v1/services/aigc/multimodal-generation/generation";
|
||||
}
|
||||
return `v1/services/aigc/text-generation/generation`;
|
||||
},
|
||||
};
|
||||
|
||||
export const Tencent = {
|
||||
@@ -412,6 +417,14 @@ export const KnowledgeCutOffDate: Record<string, string> = {
|
||||
"gpt-4-turbo": "2023-12",
|
||||
"gpt-4-turbo-2024-04-09": "2023-12",
|
||||
"gpt-4-turbo-preview": "2023-12",
|
||||
"gpt-4.1": "2024-06",
|
||||
"gpt-4.1-2025-04-14": "2024-06",
|
||||
"gpt-4.1-mini": "2024-06",
|
||||
"gpt-4.1-mini-2025-04-14": "2024-06",
|
||||
"gpt-4.1-nano": "2024-06",
|
||||
"gpt-4.1-nano-2025-04-14": "2024-06",
|
||||
"gpt-4.5-preview": "2023-10",
|
||||
"gpt-4.5-preview-2025-02-27": "2023-10",
|
||||
"gpt-4o": "2023-10",
|
||||
"gpt-4o-2024-05-13": "2023-10",
|
||||
"gpt-4o-2024-08-06": "2023-10",
|
||||
@@ -453,6 +466,7 @@ export const DEFAULT_TTS_VOICES = [
|
||||
export const VISION_MODEL_REGEXES = [
|
||||
/vision/,
|
||||
/gpt-4o/,
|
||||
/gpt-4\.1/,
|
||||
/claude-3/,
|
||||
/gemini-1\.5/,
|
||||
/gemini-exp/,
|
||||
@@ -464,6 +478,8 @@ export const VISION_MODEL_REGEXES = [
|
||||
/^dall-e-3$/, // Matches exactly "dall-e-3"
|
||||
/glm-4v/,
|
||||
/vl/i,
|
||||
/o3/,
|
||||
/o4-mini/,
|
||||
];
|
||||
|
||||
export const EXCLUDE_VISION_MODEL_REGEXES = [/claude-3-5-haiku-20241022/];
|
||||
@@ -480,6 +496,14 @@ const openaiModels = [
|
||||
"gpt-4-32k-0613",
|
||||
"gpt-4-turbo",
|
||||
"gpt-4-turbo-preview",
|
||||
"gpt-4.1",
|
||||
"gpt-4.1-2025-04-14",
|
||||
"gpt-4.1-mini",
|
||||
"gpt-4.1-mini-2025-04-14",
|
||||
"gpt-4.1-nano",
|
||||
"gpt-4.1-nano-2025-04-14",
|
||||
"gpt-4.5-preview",
|
||||
"gpt-4.5-preview-2025-02-27",
|
||||
"gpt-4o",
|
||||
"gpt-4o-2024-05-13",
|
||||
"gpt-4o-2024-08-06",
|
||||
@@ -494,23 +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",
|
||||
@@ -520,6 +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 = [
|
||||
@@ -535,6 +557,8 @@ const anthropicModels = [
|
||||
"claude-3-5-sonnet-20240620",
|
||||
"claude-3-5-sonnet-20241022",
|
||||
"claude-3-5-sonnet-latest",
|
||||
"claude-3-7-sonnet-20250219",
|
||||
"claude-3-7-sonnet-latest",
|
||||
];
|
||||
|
||||
const baiduModels = [
|
||||
@@ -568,6 +592,9 @@ const alibabaModes = [
|
||||
"qwen-max-0403",
|
||||
"qwen-max-0107",
|
||||
"qwen-max-longcontext",
|
||||
"qwen-omni-turbo",
|
||||
"qwen-vl-plus",
|
||||
"qwen-vl-max",
|
||||
];
|
||||
|
||||
const tencentModels = [
|
||||
@@ -601,6 +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 = [
|
||||
|
@@ -3,7 +3,7 @@ import {
|
||||
UPLOAD_URL,
|
||||
REQUEST_TIMEOUT_MS,
|
||||
} from "@/app/constant";
|
||||
import { RequestMessage } from "@/app/client/api";
|
||||
import { MultimodalContent, RequestMessage } from "@/app/client/api";
|
||||
import Locale from "@/app/locales";
|
||||
import {
|
||||
EventStreamContentType,
|
||||
@@ -70,8 +70,9 @@ export function compressImage(file: Blob, maxSize: number): Promise<string> {
|
||||
});
|
||||
}
|
||||
|
||||
export async function preProcessImageContent(
|
||||
export async function preProcessImageContentBase(
|
||||
content: RequestMessage["content"],
|
||||
transformImageUrl: (url: string) => Promise<{ [key: string]: any }>,
|
||||
) {
|
||||
if (typeof content === "string") {
|
||||
return content;
|
||||
@@ -81,7 +82,7 @@ export async function preProcessImageContent(
|
||||
if (part?.type == "image_url" && part?.image_url?.url) {
|
||||
try {
|
||||
const url = await cacheImageToBase64Image(part?.image_url?.url);
|
||||
result.push({ type: part.type, image_url: { url } });
|
||||
result.push(await transformImageUrl(url));
|
||||
} catch (error) {
|
||||
console.error("Error processing image URL:", error);
|
||||
}
|
||||
@@ -92,6 +93,23 @@ export async function preProcessImageContent(
|
||||
return result;
|
||||
}
|
||||
|
||||
export async function preProcessImageContent(
|
||||
content: RequestMessage["content"],
|
||||
) {
|
||||
return preProcessImageContentBase(content, async (url) => ({
|
||||
type: "image_url",
|
||||
image_url: { url },
|
||||
})) as Promise<MultimodalContent[] | string>;
|
||||
}
|
||||
|
||||
export async function preProcessImageContentForAlibabaDashScope(
|
||||
content: RequestMessage["content"],
|
||||
) {
|
||||
return preProcessImageContentBase(content, async (url) => ({
|
||||
image: url,
|
||||
}));
|
||||
}
|
||||
|
||||
const imageCaches: Record<string, string> = {};
|
||||
export function cacheImageToBase64Image(imageUrl: string) {
|
||||
if (imageUrl.includes(CACHE_URL_PREFIX)) {
|
||||
|
@@ -15,6 +15,8 @@ const config: Config = {
|
||||
moduleNameMapper: {
|
||||
"^@/(.*)$": "<rootDir>/$1",
|
||||
},
|
||||
extensionsToTreatAsEsm: [".ts", ".tsx"],
|
||||
injectGlobals: true,
|
||||
};
|
||||
|
||||
// createJestConfig is exported this way to ensure that next/jest can load the Next.js config which is async
|
||||
|
@@ -1,24 +1,22 @@
|
||||
// Learn more: https://github.com/testing-library/jest-dom
|
||||
import "@testing-library/jest-dom";
|
||||
import { jest } from "@jest/globals";
|
||||
|
||||
global.fetch = jest.fn(() =>
|
||||
Promise.resolve({
|
||||
ok: true,
|
||||
status: 200,
|
||||
json: () => Promise.resolve({}),
|
||||
json: () => Promise.resolve([]),
|
||||
headers: new Headers(),
|
||||
redirected: false,
|
||||
statusText: "OK",
|
||||
type: "basic",
|
||||
url: "",
|
||||
clone: function () {
|
||||
return this;
|
||||
},
|
||||
body: null,
|
||||
bodyUsed: false,
|
||||
arrayBuffer: () => Promise.resolve(new ArrayBuffer(0)),
|
||||
blob: () => Promise.resolve(new Blob()),
|
||||
formData: () => Promise.resolve(new FormData()),
|
||||
text: () => Promise.resolve(""),
|
||||
}),
|
||||
} as Response),
|
||||
);
|
||||
|
@@ -17,8 +17,8 @@
|
||||
"prompts": "node ./scripts/fetch-prompts.mjs",
|
||||
"prepare": "husky install",
|
||||
"proxy-dev": "sh ./scripts/init-proxy.sh && proxychains -f ./scripts/proxychains.conf yarn dev",
|
||||
"test": "jest --watch",
|
||||
"test:ci": "jest --ci"
|
||||
"test": "node --no-warnings --experimental-vm-modules $(yarn bin jest) --watch",
|
||||
"test:ci": "node --no-warnings --experimental-vm-modules $(yarn bin jest) --ci"
|
||||
},
|
||||
"dependencies": {
|
||||
"@fortaine/fetch-event-source": "^3.0.6",
|
||||
@@ -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",
|
||||
|
@@ -1,3 +1,4 @@
|
||||
import { jest } from "@jest/globals";
|
||||
import { isVisionModel } from "../app/utils";
|
||||
|
||||
describe("isVisionModel", () => {
|
||||
|
@@ -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"
|
||||
|
Reference in New Issue
Block a user