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feat/markd
Author | SHA1 | Date | |
---|---|---|---|
|
e3cbec30de |
17
README.md
17
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) / [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) / [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)
|
||||
|
||||
|
||||
[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
|
||||
@@ -40,14 +40,13 @@ English / [简体中文](./README_CN.md)
|
||||
|
||||
</div>
|
||||
|
||||
## 🥳 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)
|
||||
|
||||

|
||||
|
||||
## 🥳 Cheer for DeepSeek, China's AI star!
|
||||
> Purpose-Built UI for DeepSeek Reasoner Model
|
||||
|
||||
<img src="https://github.com/user-attachments/assets/f3952210-3af1-4dc0-9b81-40eaa4847d9a"/>
|
||||
|
||||
|
||||
|
||||
## 🫣 NextChat Support MCP !
|
||||
> Before build, please set env ENABLE_MCP=true
|
||||
|
||||
|
@@ -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;
|
||||
@@ -198,8 +198,7 @@ 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("o4-mini");
|
||||
options.config.model.startsWith("o3");
|
||||
if (isDalle3) {
|
||||
const prompt = getMessageTextContent(
|
||||
options.messages.slice(-1)?.pop() as any,
|
||||
@@ -238,21 +237,13 @@ 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 && !isO1OrO3) {
|
||||
if (visionModel) {
|
||||
requestPayload["max_tokens"] = Math.max(modelConfig.max_tokens, 4000);
|
||||
}
|
||||
}
|
||||
|
@@ -18,7 +18,6 @@ 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";
|
||||
@@ -79,8 +78,6 @@ 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";
|
||||
@@ -125,14 +122,15 @@ 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, {
|
||||
loading: () => <LoadingIcon />,
|
||||
});
|
||||
// const Markdown = dynamic(async () => (await import("./markdown")).Markdown, {
|
||||
// loading: () => <LoadingIcon />,
|
||||
// });
|
||||
|
||||
const MCPAction = () => {
|
||||
const navigate = useNavigate();
|
||||
@@ -1984,6 +1982,8 @@ function _Chat() {
|
||||
fontFamily={fontFamily}
|
||||
parentRef={scrollRef}
|
||||
defaultShow={i >= messages.length - 6}
|
||||
immediatelyRender={i >= messages.length - 3}
|
||||
streaming={message.streaming}
|
||||
/>
|
||||
{getMessageImages(message).length == 1 && (
|
||||
<img
|
||||
|
@@ -267,6 +267,136 @@ 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));
|
||||
@@ -326,9 +456,27 @@ 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
|
||||
@@ -344,6 +492,24 @@ 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} />
|
||||
)}
|
||||
|
@@ -417,14 +417,6 @@ 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",
|
||||
@@ -466,7 +458,6 @@ export const DEFAULT_TTS_VOICES = [
|
||||
export const VISION_MODEL_REGEXES = [
|
||||
/vision/,
|
||||
/gpt-4o/,
|
||||
/gpt-4\.1/,
|
||||
/claude-3/,
|
||||
/gemini-1\.5/,
|
||||
/gemini-exp/,
|
||||
@@ -478,8 +469,6 @@ 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/];
|
||||
@@ -496,14 +485,6 @@ 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",
|
||||
@@ -518,20 +499,23 @@ 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",
|
||||
@@ -541,7 +525,6 @@ 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 = [
|
||||
@@ -628,18 +611,6 @@ 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 = [
|
||||
|
@@ -99,6 +99,7 @@
|
||||
font-size: 14px;
|
||||
line-height: 1.5;
|
||||
word-wrap: break-word;
|
||||
margin-bottom: 0;
|
||||
}
|
||||
|
||||
.light {
|
||||
@@ -358,8 +359,14 @@
|
||||
.markdown-body kbd {
|
||||
display: inline-block;
|
||||
padding: 3px 5px;
|
||||
font: 11px ui-monospace, SFMono-Regular, SF Mono, Menlo, Consolas,
|
||||
Liberation Mono, monospace;
|
||||
font:
|
||||
11px ui-monospace,
|
||||
SFMono-Regular,
|
||||
SF Mono,
|
||||
Menlo,
|
||||
Consolas,
|
||||
Liberation Mono,
|
||||
monospace;
|
||||
line-height: 10px;
|
||||
color: var(--color-fg-default);
|
||||
vertical-align: middle;
|
||||
@@ -448,16 +455,28 @@
|
||||
.markdown-body tt,
|
||||
.markdown-body code,
|
||||
.markdown-body samp {
|
||||
font-family: ui-monospace, SFMono-Regular, SF Mono, Menlo, Consolas,
|
||||
Liberation Mono, monospace;
|
||||
font-family:
|
||||
ui-monospace,
|
||||
SFMono-Regular,
|
||||
SF Mono,
|
||||
Menlo,
|
||||
Consolas,
|
||||
Liberation Mono,
|
||||
monospace;
|
||||
font-size: 12px;
|
||||
}
|
||||
|
||||
.markdown-body pre {
|
||||
margin-top: 0;
|
||||
margin-bottom: 0;
|
||||
font-family: ui-monospace, SFMono-Regular, SF Mono, Menlo, Consolas,
|
||||
Liberation Mono, monospace;
|
||||
font-family:
|
||||
ui-monospace,
|
||||
SFMono-Regular,
|
||||
SF Mono,
|
||||
Menlo,
|
||||
Consolas,
|
||||
Liberation Mono,
|
||||
monospace;
|
||||
font-size: 12px;
|
||||
word-wrap: normal;
|
||||
}
|
||||
@@ -1130,3 +1149,87 @@
|
||||
#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;
|
||||
}
|
||||
}
|
||||
|
@@ -83,7 +83,7 @@
|
||||
"jest": "^29.7.0",
|
||||
"jest-environment-jsdom": "^29.7.0",
|
||||
"lint-staged": "^13.2.2",
|
||||
"prettier": "^3.6.2",
|
||||
"prettier": "^3.0.2",
|
||||
"ts-node": "^10.9.2",
|
||||
"tsx": "^4.16.0",
|
||||
"typescript": "5.2.2",
|
||||
|
@@ -7076,10 +7076,10 @@ prettier-linter-helpers@^1.0.0:
|
||||
dependencies:
|
||||
fast-diff "^1.1.2"
|
||||
|
||||
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==
|
||||
prettier@^3.0.2:
|
||||
version "3.0.2"
|
||||
resolved "https://registry.yarnpkg.com/prettier/-/prettier-3.0.2.tgz#78fcecd6d870551aa5547437cdae39d4701dca5b"
|
||||
integrity sha512-o2YR9qtniXvwEZlOKbveKfDQVyqxbEIWn48Z8m3ZJjBjcCmUy3xZGIv+7AkaeuaTr6yPXJjwv07ZWlsWbEy1rQ==
|
||||
|
||||
pretty-format@^27.0.2:
|
||||
version "27.5.1"
|
||||
|
Reference in New Issue
Block a user