add claude 3.5 haiku
This commit is contained in:
commit
a6c1eb27a8
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@ -31,7 +31,7 @@ One-Click to get a well-designed cross-platform ChatGPT web UI, with GPT3, GPT4
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[MacOS-image]: https://img.shields.io/badge/-MacOS-black?logo=apple
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[Linux-image]: https://img.shields.io/badge/-Linux-333?logo=ubuntu
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[<img src="https://vercel.com/button" alt="Deploy on Zeabur" 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://zeabur.com/button.svg" alt="Deploy on Zeabur" height="30">](https://zeabur.com/templates/ZBUEFA) [<img src="https://gitpod.io/button/open-in-gitpod.svg" alt="Open in Gitpod" height="30">](https://gitpod.io/#https://github.com/Yidadaa/ChatGPT-Next-Web)
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[<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://zeabur.com/button.svg" alt="Deploy on Zeabur" height="30">](https://zeabur.com/templates/ZBUEFA) [<img src="https://gitpod.io/button/open-in-gitpod.svg" alt="Open in Gitpod" height="30">](https://gitpod.io/#https://github.com/Yidadaa/ChatGPT-Next-Web) [<img src="https://img.shields.io/badge/BT_Deploy-Install-20a53a" alt="BT Deply Install" height="30">](https://www.bt.cn/new/download.html) [<img src="https://svgshare.com/i/1AVg.svg" alt="Deploy to Alibaba Cloud" height="30">](https://computenest.aliyun.com/market/service-f1c9b75e59814dc49d52)
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[<img src="https://github.com/user-attachments/assets/903482d4-3e87-4134-9af1-f2588fa90659" height="60" width="288" >](https://monica.im/?utm=nxcrp)
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@ -397,6 +397,9 @@ yarn dev
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> [简体中文 > 如何部署到私人服务器](./README_CN.md#部署)
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### BT Install
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> [简体中文 > 如何通过宝塔一键部署](./docs/bt-cn.md)
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### Docker (Recommended)
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```shell
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@ -264,6 +264,9 @@ BASE_URL=https://b.nextweb.fun/api/proxy
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## 部署
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### 宝塔面板部署
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> [简体中文 > 如何通过宝塔一键部署](./docs/bt-cn.md)
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### 容器部署 (推荐)
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> Docker 版本需要在 20 及其以上,否则会提示找不到镜像。
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@ -11,6 +11,7 @@ import { handle as moonshotHandler } from "../../moonshot";
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import { handle as stabilityHandler } from "../../stability";
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import { handle as iflytekHandler } from "../../iflytek";
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import { handle as xaiHandler } from "../../xai";
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import { handle as chatglmHandler } from "../../glm";
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import { handle as proxyHandler } from "../../proxy";
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async function handle(
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@ -41,6 +42,8 @@ async function handle(
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return iflytekHandler(req, { params });
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case ApiPath.XAI:
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return xaiHandler(req, { params });
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case ApiPath.ChatGLM:
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return chatglmHandler(req, { params });
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case ApiPath.OpenAI:
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return openaiHandler(req, { params });
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default:
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@ -95,6 +95,9 @@ export function auth(req: NextRequest, modelProvider: ModelProvider) {
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case ModelProvider.XAI:
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systemApiKey = serverConfig.xaiApiKey;
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break;
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case ModelProvider.ChatGLM:
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systemApiKey = serverConfig.chatglmApiKey;
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break;
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case ModelProvider.GPT:
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default:
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if (req.nextUrl.pathname.includes("azure/deployments")) {
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@ -0,0 +1,129 @@
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import { getServerSideConfig } from "@/app/config/server";
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import {
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CHATGLM_BASE_URL,
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ApiPath,
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ModelProvider,
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ServiceProvider,
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} from "@/app/constant";
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import { prettyObject } from "@/app/utils/format";
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import { NextRequest, NextResponse } from "next/server";
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import { auth } from "@/app/api/auth";
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import { isModelAvailableInServer } from "@/app/utils/model";
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const serverConfig = getServerSideConfig();
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export async function handle(
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req: NextRequest,
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{ params }: { params: { path: string[] } },
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) {
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console.log("[GLM Route] params ", params);
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if (req.method === "OPTIONS") {
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return NextResponse.json({ body: "OK" }, { status: 200 });
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}
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const authResult = auth(req, ModelProvider.ChatGLM);
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if (authResult.error) {
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return NextResponse.json(authResult, {
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status: 401,
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});
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}
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try {
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const response = await request(req);
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return response;
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} catch (e) {
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console.error("[GLM] ", e);
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return NextResponse.json(prettyObject(e));
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}
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}
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async function request(req: NextRequest) {
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const controller = new AbortController();
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// alibaba use base url or just remove the path
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let path = `${req.nextUrl.pathname}`.replaceAll(ApiPath.ChatGLM, "");
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let baseUrl = serverConfig.chatglmUrl || CHATGLM_BASE_URL;
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if (!baseUrl.startsWith("http")) {
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baseUrl = `https://${baseUrl}`;
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}
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if (baseUrl.endsWith("/")) {
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baseUrl = baseUrl.slice(0, -1);
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}
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console.log("[Proxy] ", path);
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console.log("[Base Url]", baseUrl);
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const timeoutId = setTimeout(
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() => {
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controller.abort();
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},
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10 * 60 * 1000,
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);
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const fetchUrl = `${baseUrl}${path}`;
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console.log("[Fetch Url] ", fetchUrl);
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const fetchOptions: RequestInit = {
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headers: {
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"Content-Type": "application/json",
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Authorization: req.headers.get("Authorization") ?? "",
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},
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method: req.method,
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body: req.body,
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redirect: "manual",
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// @ts-ignore
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duplex: "half",
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signal: controller.signal,
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};
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// #1815 try to refuse some request to some models
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if (serverConfig.customModels && req.body) {
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try {
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const clonedBody = await req.text();
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fetchOptions.body = clonedBody;
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const jsonBody = JSON.parse(clonedBody) as { model?: string };
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// not undefined and is false
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if (
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isModelAvailableInServer(
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serverConfig.customModels,
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jsonBody?.model as string,
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ServiceProvider.ChatGLM as string,
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)
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) {
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return NextResponse.json(
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{
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error: true,
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message: `you are not allowed to use ${jsonBody?.model} model`,
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},
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{
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status: 403,
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},
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);
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}
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} catch (e) {
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console.error(`[GLM] filter`, e);
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}
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}
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try {
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const res = await fetch(fetchUrl, fetchOptions);
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// to prevent browser prompt for credentials
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const newHeaders = new Headers(res.headers);
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newHeaders.delete("www-authenticate");
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// to disable nginx buffering
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newHeaders.set("X-Accel-Buffering", "no");
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return new Response(res.body, {
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status: res.status,
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statusText: res.statusText,
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headers: newHeaders,
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});
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} finally {
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clearTimeout(timeoutId);
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}
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}
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@ -21,6 +21,7 @@ import { HunyuanApi } from "./platforms/tencent";
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import { MoonshotApi } from "./platforms/moonshot";
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import { SparkApi } from "./platforms/iflytek";
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import { XAIApi } from "./platforms/xai";
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import { ChatGLMApi } from "./platforms/glm";
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export const ROLES = ["system", "user", "assistant"] as const;
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export type MessageRole = (typeof ROLES)[number];
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@ -69,7 +70,7 @@ export interface ChatOptions {
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config: LLMConfig;
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onUpdate?: (message: string, chunk: string) => void;
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onFinish: (message: string) => void;
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onFinish: (message: string, responseRes: Response) => void;
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onError?: (err: Error) => void;
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onController?: (controller: AbortController) => void;
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onBeforeTool?: (tool: ChatMessageTool) => void;
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@ -156,6 +157,9 @@ export class ClientApi {
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case ModelProvider.XAI:
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this.llm = new XAIApi();
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break;
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case ModelProvider.ChatGLM:
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this.llm = new ChatGLMApi();
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break;
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default:
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this.llm = new ChatGPTApi();
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}
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@ -244,6 +248,7 @@ export function getHeaders(ignoreHeaders: boolean = false) {
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const isMoonshot = modelConfig.providerName === ServiceProvider.Moonshot;
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const isIflytek = modelConfig.providerName === ServiceProvider.Iflytek;
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const isXAI = modelConfig.providerName === ServiceProvider.XAI;
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const isChatGLM = modelConfig.providerName === ServiceProvider.ChatGLM;
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const isEnabledAccessControl = accessStore.enabledAccessControl();
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const apiKey = isGoogle
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? accessStore.googleApiKey
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@ -259,6 +264,8 @@ export function getHeaders(ignoreHeaders: boolean = false) {
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? accessStore.moonshotApiKey
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: isXAI
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? accessStore.xaiApiKey
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: isChatGLM
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? accessStore.chatglmApiKey
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: isIflytek
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? accessStore.iflytekApiKey && accessStore.iflytekApiSecret
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? accessStore.iflytekApiKey + ":" + accessStore.iflytekApiSecret
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@ -274,6 +281,7 @@ export function getHeaders(ignoreHeaders: boolean = false) {
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isMoonshot,
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isIflytek,
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isXAI,
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isChatGLM,
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apiKey,
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isEnabledAccessControl,
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};
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@ -338,6 +346,8 @@ export function getClientApi(provider: ServiceProvider): ClientApi {
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return new ClientApi(ModelProvider.Iflytek);
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case ServiceProvider.XAI:
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return new ClientApi(ModelProvider.XAI);
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case ServiceProvider.ChatGLM:
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return new ClientApi(ModelProvider.ChatGLM);
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default:
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return new ClientApi(ModelProvider.GPT);
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}
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@ -143,6 +143,7 @@ export class QwenApi implements LLMApi {
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let responseText = "";
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let remainText = "";
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let finished = false;
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let responseRes: Response;
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// animate response to make it looks smooth
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function animateResponseText() {
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@ -172,7 +173,7 @@ export class QwenApi implements LLMApi {
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const finish = () => {
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if (!finished) {
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finished = true;
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options.onFinish(responseText + remainText);
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options.onFinish(responseText + remainText, responseRes);
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}
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};
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@ -188,6 +189,7 @@ export class QwenApi implements LLMApi {
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"[Alibaba] request response content type: ",
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contentType,
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);
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responseRes = res;
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if (contentType?.startsWith("text/plain")) {
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responseText = await res.clone().text();
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@ -254,7 +256,7 @@ export class QwenApi implements LLMApi {
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const resJson = await res.json();
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const message = this.extractMessage(resJson);
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options.onFinish(message);
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options.onFinish(message, res);
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}
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} catch (e) {
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console.log("[Request] failed to make a chat request", e);
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|
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@ -317,13 +317,14 @@ export class ClaudeApi implements LLMApi {
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};
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try {
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controller.signal.onabort = () => options.onFinish("");
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controller.signal.onabort = () =>
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options.onFinish("", new Response(null, { status: 400 }));
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const res = await fetch(path, payload);
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const resJson = await res.json();
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const message = this.extractMessage(resJson);
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options.onFinish(message);
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options.onFinish(message, res);
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} catch (e) {
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console.error("failed to chat", e);
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options.onError?.(e as Error);
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|
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@ -162,6 +162,7 @@ export class ErnieApi implements LLMApi {
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let responseText = "";
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let remainText = "";
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let finished = false;
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let responseRes: Response;
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// animate response to make it looks smooth
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function animateResponseText() {
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@ -191,7 +192,7 @@ export class ErnieApi implements LLMApi {
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const finish = () => {
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if (!finished) {
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finished = true;
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options.onFinish(responseText + remainText);
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options.onFinish(responseText + remainText, responseRes);
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}
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};
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@ -204,7 +205,7 @@ export class ErnieApi implements LLMApi {
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clearTimeout(requestTimeoutId);
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const contentType = res.headers.get("content-type");
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console.log("[Baidu] request response content type: ", contentType);
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responseRes = res;
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if (contentType?.startsWith("text/plain")) {
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responseText = await res.clone().text();
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return finish();
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|
@ -267,7 +268,7 @@ export class ErnieApi implements LLMApi {
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|||
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const resJson = await res.json();
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const message = resJson?.result;
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options.onFinish(message);
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options.onFinish(message, res);
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}
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} catch (e) {
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console.log("[Request] failed to make a chat request", e);
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|
|
|
@ -130,6 +130,7 @@ export class DoubaoApi implements LLMApi {
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let responseText = "";
|
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let remainText = "";
|
||||
let finished = false;
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||||
let responseRes: Response;
|
||||
|
||||
// animate response to make it looks smooth
|
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function animateResponseText() {
|
||||
|
@ -159,7 +160,7 @@ export class DoubaoApi implements LLMApi {
|
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const finish = () => {
|
||||
if (!finished) {
|
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finished = true;
|
||||
options.onFinish(responseText + remainText);
|
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options.onFinish(responseText + remainText, responseRes);
|
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}
|
||||
};
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||||
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||||
|
@ -175,7 +176,7 @@ export class DoubaoApi implements LLMApi {
|
|||
"[ByteDance] request response content type: ",
|
||||
contentType,
|
||||
);
|
||||
|
||||
responseRes = res;
|
||||
if (contentType?.startsWith("text/plain")) {
|
||||
responseText = await res.clone().text();
|
||||
return finish();
|
||||
|
@ -241,7 +242,7 @@ export class DoubaoApi implements LLMApi {
|
|||
|
||||
const resJson = await res.json();
|
||||
const message = this.extractMessage(resJson);
|
||||
options.onFinish(message);
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||||
options.onFinish(message, res);
|
||||
}
|
||||
} catch (e) {
|
||||
console.log("[Request] failed to make a chat request", e);
|
||||
|
|
|
@ -0,0 +1,197 @@
|
|||
"use client";
|
||||
import {
|
||||
ApiPath,
|
||||
CHATGLM_BASE_URL,
|
||||
ChatGLM,
|
||||
REQUEST_TIMEOUT_MS,
|
||||
} from "@/app/constant";
|
||||
import {
|
||||
useAccessStore,
|
||||
useAppConfig,
|
||||
useChatStore,
|
||||
ChatMessageTool,
|
||||
usePluginStore,
|
||||
} from "@/app/store";
|
||||
import { stream } from "@/app/utils/chat";
|
||||
import {
|
||||
ChatOptions,
|
||||
getHeaders,
|
||||
LLMApi,
|
||||
LLMModel,
|
||||
SpeechOptions,
|
||||
} from "../api";
|
||||
import { getClientConfig } from "@/app/config/client";
|
||||
import { getMessageTextContent } from "@/app/utils";
|
||||
import { RequestPayload } from "./openai";
|
||||
import { fetch } from "@/app/utils/stream";
|
||||
|
||||
export class ChatGLMApi implements LLMApi {
|
||||
private disableListModels = true;
|
||||
|
||||
path(path: string): string {
|
||||
const accessStore = useAccessStore.getState();
|
||||
|
||||
let baseUrl = "";
|
||||
|
||||
if (accessStore.useCustomConfig) {
|
||||
baseUrl = accessStore.chatglmUrl;
|
||||
}
|
||||
|
||||
if (baseUrl.length === 0) {
|
||||
const isApp = !!getClientConfig()?.isApp;
|
||||
const apiPath = ApiPath.ChatGLM;
|
||||
baseUrl = isApp ? CHATGLM_BASE_URL : apiPath;
|
||||
}
|
||||
|
||||
if (baseUrl.endsWith("/")) {
|
||||
baseUrl = baseUrl.slice(0, baseUrl.length - 1);
|
||||
}
|
||||
if (!baseUrl.startsWith("http") && !baseUrl.startsWith(ApiPath.ChatGLM)) {
|
||||
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 messages: ChatOptions["messages"] = [];
|
||||
for (const v of options.messages) {
|
||||
const 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,
|
||||
};
|
||||
|
||||
console.log("[Request] glm payload: ", requestPayload);
|
||||
|
||||
const shouldStream = !!options.config.stream;
|
||||
const controller = new AbortController();
|
||||
options.onController?.(controller);
|
||||
|
||||
try {
|
||||
const chatPath = this.path(ChatGLM.ChatPath);
|
||||
const chatPayload = {
|
||||
method: "POST",
|
||||
body: JSON.stringify(requestPayload),
|
||||
signal: controller.signal,
|
||||
headers: getHeaders(),
|
||||
};
|
||||
|
||||
// make a fetch request
|
||||
const requestTimeoutId = setTimeout(
|
||||
() => controller.abort(),
|
||||
REQUEST_TIMEOUT_MS,
|
||||
);
|
||||
|
||||
if (shouldStream) {
|
||||
const [tools, funcs] = usePluginStore
|
||||
.getState()
|
||||
.getAsTools(
|
||||
useChatStore.getState().currentSession().mask?.plugin || [],
|
||||
);
|
||||
return stream(
|
||||
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;
|
||||
tool_calls: ChatMessageTool[];
|
||||
};
|
||||
}>;
|
||||
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;
|
||||
}
|
||||
}
|
||||
return choices[0]?.delta?.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[]> {
|
||||
return [];
|
||||
}
|
||||
}
|
|
@ -192,7 +192,10 @@ export class GeminiProApi implements LLMApi {
|
|||
requestPayload,
|
||||
getHeaders(),
|
||||
// @ts-ignore
|
||||
[{ functionDeclarations: tools.map((tool) => tool.function) }],
|
||||
tools.length > 0
|
||||
? // @ts-ignore
|
||||
[{ functionDeclarations: tools.map((tool) => tool.function) }]
|
||||
: [],
|
||||
funcs,
|
||||
controller,
|
||||
// parseSSE
|
||||
|
@ -271,7 +274,7 @@ export class GeminiProApi implements LLMApi {
|
|||
);
|
||||
}
|
||||
const message = apiClient.extractMessage(resJson);
|
||||
options.onFinish(message);
|
||||
options.onFinish(message, res);
|
||||
}
|
||||
} catch (e) {
|
||||
console.log("[Request] failed to make a chat request", e);
|
||||
|
|
|
@ -117,6 +117,7 @@ export class SparkApi implements LLMApi {
|
|||
let responseText = "";
|
||||
let remainText = "";
|
||||
let finished = false;
|
||||
let responseRes: Response;
|
||||
|
||||
// Animate response text to make it look smooth
|
||||
function animateResponseText() {
|
||||
|
@ -143,7 +144,7 @@ export class SparkApi implements LLMApi {
|
|||
const finish = () => {
|
||||
if (!finished) {
|
||||
finished = true;
|
||||
options.onFinish(responseText + remainText);
|
||||
options.onFinish(responseText + remainText, responseRes);
|
||||
}
|
||||
};
|
||||
|
||||
|
@ -156,7 +157,7 @@ export class SparkApi implements LLMApi {
|
|||
clearTimeout(requestTimeoutId);
|
||||
const contentType = res.headers.get("content-type");
|
||||
console.log("[Spark] request response content type: ", contentType);
|
||||
|
||||
responseRes = res;
|
||||
if (contentType?.startsWith("text/plain")) {
|
||||
responseText = await res.clone().text();
|
||||
return finish();
|
||||
|
@ -231,7 +232,7 @@ export class SparkApi implements LLMApi {
|
|||
|
||||
const resJson = await res.json();
|
||||
const message = this.extractMessage(resJson);
|
||||
options.onFinish(message);
|
||||
options.onFinish(message, res);
|
||||
}
|
||||
} catch (e) {
|
||||
console.log("[Request] failed to make a chat request", e);
|
||||
|
|
|
@ -180,7 +180,7 @@ export class MoonshotApi implements LLMApi {
|
|||
|
||||
const resJson = await res.json();
|
||||
const message = this.extractMessage(resJson);
|
||||
options.onFinish(message);
|
||||
options.onFinish(message, res);
|
||||
}
|
||||
} catch (e) {
|
||||
console.log("[Request] failed to make a chat request", e);
|
||||
|
|
|
@ -361,7 +361,7 @@ export class ChatGPTApi implements LLMApi {
|
|||
|
||||
const resJson = await res.json();
|
||||
const message = await this.extractMessage(resJson);
|
||||
options.onFinish(message);
|
||||
options.onFinish(message, res);
|
||||
}
|
||||
} catch (e) {
|
||||
console.log("[Request] failed to make a chat request", e);
|
||||
|
|
|
@ -142,6 +142,7 @@ export class HunyuanApi implements LLMApi {
|
|||
let responseText = "";
|
||||
let remainText = "";
|
||||
let finished = false;
|
||||
let responseRes: Response;
|
||||
|
||||
// animate response to make it looks smooth
|
||||
function animateResponseText() {
|
||||
|
@ -171,7 +172,7 @@ export class HunyuanApi implements LLMApi {
|
|||
const finish = () => {
|
||||
if (!finished) {
|
||||
finished = true;
|
||||
options.onFinish(responseText + remainText);
|
||||
options.onFinish(responseText + remainText, responseRes);
|
||||
}
|
||||
};
|
||||
|
||||
|
@ -187,7 +188,7 @@ export class HunyuanApi implements LLMApi {
|
|||
"[Tencent] request response content type: ",
|
||||
contentType,
|
||||
);
|
||||
|
||||
responseRes = res;
|
||||
if (contentType?.startsWith("text/plain")) {
|
||||
responseText = await res.clone().text();
|
||||
return finish();
|
||||
|
@ -253,7 +254,7 @@ export class HunyuanApi implements LLMApi {
|
|||
|
||||
const resJson = await res.json();
|
||||
const message = this.extractMessage(resJson);
|
||||
options.onFinish(message);
|
||||
options.onFinish(message, res);
|
||||
}
|
||||
} catch (e) {
|
||||
console.log("[Request] failed to make a chat request", e);
|
||||
|
|
|
@ -173,7 +173,7 @@ export class XAIApi implements LLMApi {
|
|||
|
||||
const resJson = await res.json();
|
||||
const message = this.extractMessage(resJson);
|
||||
options.onFinish(message);
|
||||
options.onFinish(message, res);
|
||||
}
|
||||
} catch (e) {
|
||||
console.log("[Request] failed to make a chat request", e);
|
||||
|
|
|
@ -72,6 +72,7 @@ import {
|
|||
Stability,
|
||||
Iflytek,
|
||||
SAAS_CHAT_URL,
|
||||
ChatGLM,
|
||||
} from "../constant";
|
||||
import { Prompt, SearchService, usePromptStore } from "../store/prompt";
|
||||
import { ErrorBoundary } from "./error";
|
||||
|
@ -1234,6 +1235,47 @@ export function Settings() {
|
|||
</>
|
||||
);
|
||||
|
||||
const chatglmConfigComponent = accessStore.provider ===
|
||||
ServiceProvider.ChatGLM && (
|
||||
<>
|
||||
<ListItem
|
||||
title={Locale.Settings.Access.ChatGLM.Endpoint.Title}
|
||||
subTitle={
|
||||
Locale.Settings.Access.ChatGLM.Endpoint.SubTitle +
|
||||
ChatGLM.ExampleEndpoint
|
||||
}
|
||||
>
|
||||
<input
|
||||
aria-label={Locale.Settings.Access.ChatGLM.Endpoint.Title}
|
||||
type="text"
|
||||
value={accessStore.chatglmUrl}
|
||||
placeholder={ChatGLM.ExampleEndpoint}
|
||||
onChange={(e) =>
|
||||
accessStore.update(
|
||||
(access) => (access.chatglmUrl = e.currentTarget.value),
|
||||
)
|
||||
}
|
||||
></input>
|
||||
</ListItem>
|
||||
<ListItem
|
||||
title={Locale.Settings.Access.ChatGLM.ApiKey.Title}
|
||||
subTitle={Locale.Settings.Access.ChatGLM.ApiKey.SubTitle}
|
||||
>
|
||||
<PasswordInput
|
||||
aria-label={Locale.Settings.Access.ChatGLM.ApiKey.Title}
|
||||
value={accessStore.chatglmApiKey}
|
||||
type="text"
|
||||
placeholder={Locale.Settings.Access.ChatGLM.ApiKey.Placeholder}
|
||||
onChange={(e) => {
|
||||
accessStore.update(
|
||||
(access) => (access.chatglmApiKey = e.currentTarget.value),
|
||||
);
|
||||
}}
|
||||
/>
|
||||
</ListItem>
|
||||
</>
|
||||
);
|
||||
|
||||
const stabilityConfigComponent = accessStore.provider ===
|
||||
ServiceProvider.Stability && (
|
||||
<>
|
||||
|
@ -1693,6 +1735,7 @@ export function Settings() {
|
|||
{stabilityConfigComponent}
|
||||
{lflytekConfigComponent}
|
||||
{XAIConfigComponent}
|
||||
{chatglmConfigComponent}
|
||||
</>
|
||||
)}
|
||||
</>
|
||||
|
|
|
@ -75,6 +75,10 @@ declare global {
|
|||
XAI_URL?: string;
|
||||
XAI_API_KEY?: string;
|
||||
|
||||
// chatglm only
|
||||
CHATGLM_URL?: string;
|
||||
CHATGLM_API_KEY?: string;
|
||||
|
||||
// custom template for preprocessing user input
|
||||
DEFAULT_INPUT_TEMPLATE?: string;
|
||||
}
|
||||
|
@ -151,6 +155,7 @@ export const getServerSideConfig = () => {
|
|||
const isMoonshot = !!process.env.MOONSHOT_API_KEY;
|
||||
const isIflytek = !!process.env.IFLYTEK_API_KEY;
|
||||
const isXAI = !!process.env.XAI_API_KEY;
|
||||
const isChatGLM = !!process.env.CHATGLM_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);
|
||||
|
@ -217,6 +222,10 @@ export const getServerSideConfig = () => {
|
|||
xaiUrl: process.env.XAI_URL,
|
||||
xaiApiKey: getApiKey(process.env.XAI_API_KEY),
|
||||
|
||||
isChatGLM,
|
||||
chatglmUrl: process.env.CHATGLM_URL,
|
||||
chatglmApiKey: getApiKey(process.env.CHATGLM_API_KEY),
|
||||
|
||||
cloudflareAccountId: process.env.CLOUDFLARE_ACCOUNT_ID,
|
||||
cloudflareKVNamespaceId: process.env.CLOUDFLARE_KV_NAMESPACE_ID,
|
||||
cloudflareKVApiKey: getApiKey(process.env.CLOUDFLARE_KV_API_KEY),
|
||||
|
|
|
@ -30,6 +30,8 @@ export const IFLYTEK_BASE_URL = "https://spark-api-open.xf-yun.com";
|
|||
|
||||
export const XAI_BASE_URL = "https://api.x.ai";
|
||||
|
||||
export const CHATGLM_BASE_URL = "https://open.bigmodel.cn";
|
||||
|
||||
export const CACHE_URL_PREFIX = "/api/cache";
|
||||
export const UPLOAD_URL = `${CACHE_URL_PREFIX}/upload`;
|
||||
|
||||
|
@ -62,6 +64,7 @@ export enum ApiPath {
|
|||
Stability = "/api/stability",
|
||||
Artifacts = "/api/artifacts",
|
||||
XAI = "/api/xai",
|
||||
ChatGLM = "/api/chatglm",
|
||||
}
|
||||
|
||||
export enum SlotID {
|
||||
|
@ -115,6 +118,7 @@ export enum ServiceProvider {
|
|||
Stability = "Stability",
|
||||
Iflytek = "Iflytek",
|
||||
XAI = "XAI",
|
||||
ChatGLM = "ChatGLM",
|
||||
}
|
||||
|
||||
// Google API safety settings, see https://ai.google.dev/gemini-api/docs/safety-settings
|
||||
|
@ -138,6 +142,7 @@ export enum ModelProvider {
|
|||
Moonshot = "Moonshot",
|
||||
Iflytek = "Iflytek",
|
||||
XAI = "XAI",
|
||||
ChatGLM = "ChatGLM",
|
||||
}
|
||||
|
||||
export const Stability = {
|
||||
|
@ -225,6 +230,11 @@ export const XAI = {
|
|||
ChatPath: "v1/chat/completions",
|
||||
};
|
||||
|
||||
export const ChatGLM = {
|
||||
ExampleEndpoint: CHATGLM_BASE_URL,
|
||||
ChatPath: "/api/paas/v4/chat/completions",
|
||||
};
|
||||
|
||||
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}}.
|
||||
|
@ -317,8 +327,11 @@ const anthropicModels = [
|
|||
"claude-2.1",
|
||||
"claude-3-sonnet-20240229",
|
||||
"claude-3-opus-20240229",
|
||||
"claude-3-opus-latest",
|
||||
"claude-3-haiku-20240307",
|
||||
"claude-3-5-sonnet-20240620",
|
||||
"claude-3-5-sonnet-20241022",
|
||||
"claude-3-5-sonnet-latest",
|
||||
"claude-3-5-haiku-latest",
|
||||
];
|
||||
|
||||
|
@ -377,6 +390,17 @@ const iflytekModels = [
|
|||
|
||||
const xAIModes = ["grok-beta"];
|
||||
|
||||
const chatglmModels = [
|
||||
"glm-4-plus",
|
||||
"glm-4-0520",
|
||||
"glm-4",
|
||||
"glm-4-air",
|
||||
"glm-4-airx",
|
||||
"glm-4-long",
|
||||
"glm-4-flashx",
|
||||
"glm-4-flash",
|
||||
];
|
||||
|
||||
let seq = 1000; // 内置的模型序号生成器从1000开始
|
||||
export const DEFAULT_MODELS = [
|
||||
...openaiModels.map((name) => ({
|
||||
|
@ -500,6 +524,17 @@ export const DEFAULT_MODELS = [
|
|||
sorted: 11,
|
||||
},
|
||||
})),
|
||||
...chatglmModels.map((name) => ({
|
||||
name,
|
||||
available: true,
|
||||
sorted: seq++,
|
||||
provider: {
|
||||
id: "chatglm",
|
||||
providerName: "ChatGLM",
|
||||
providerType: "chatglm",
|
||||
sorted: 12,
|
||||
},
|
||||
})),
|
||||
] as const;
|
||||
|
||||
export const CHAT_PAGE_SIZE = 15;
|
||||
|
|
|
@ -473,6 +473,17 @@ const cn = {
|
|||
SubTitle: "样例:",
|
||||
},
|
||||
},
|
||||
ChatGLM: {
|
||||
ApiKey: {
|
||||
Title: "接口密钥",
|
||||
SubTitle: "使用自定义 ChatGLM API Key",
|
||||
Placeholder: "ChatGLM API Key",
|
||||
},
|
||||
Endpoint: {
|
||||
Title: "接口地址",
|
||||
SubTitle: "样例:",
|
||||
},
|
||||
},
|
||||
Stability: {
|
||||
ApiKey: {
|
||||
Title: "接口密钥",
|
||||
|
|
|
@ -457,6 +457,17 @@ const en: LocaleType = {
|
|||
SubTitle: "Example: ",
|
||||
},
|
||||
},
|
||||
ChatGLM: {
|
||||
ApiKey: {
|
||||
Title: "ChatGLM API Key",
|
||||
SubTitle: "Use a custom ChatGLM API Key",
|
||||
Placeholder: "ChatGLM API Key",
|
||||
},
|
||||
Endpoint: {
|
||||
Title: "Endpoint Address",
|
||||
SubTitle: "Example: ",
|
||||
},
|
||||
},
|
||||
Stability: {
|
||||
ApiKey: {
|
||||
Title: "Stability API Key",
|
||||
|
|
|
@ -14,6 +14,7 @@ import {
|
|||
STABILITY_BASE_URL,
|
||||
IFLYTEK_BASE_URL,
|
||||
XAI_BASE_URL,
|
||||
CHATGLM_BASE_URL,
|
||||
} from "../constant";
|
||||
import { getHeaders } from "../client/api";
|
||||
import { getClientConfig } from "../config/client";
|
||||
|
@ -47,6 +48,8 @@ const DEFAULT_IFLYTEK_URL = isApp ? IFLYTEK_BASE_URL : ApiPath.Iflytek;
|
|||
|
||||
const DEFAULT_XAI_URL = isApp ? XAI_BASE_URL : ApiPath.XAI;
|
||||
|
||||
const DEFAULT_CHATGLM_URL = isApp ? CHATGLM_BASE_URL : ApiPath.ChatGLM;
|
||||
|
||||
const DEFAULT_ACCESS_STATE = {
|
||||
accessCode: "",
|
||||
useCustomConfig: false,
|
||||
|
@ -108,6 +111,10 @@ const DEFAULT_ACCESS_STATE = {
|
|||
xaiUrl: DEFAULT_XAI_URL,
|
||||
xaiApiKey: "",
|
||||
|
||||
// chatglm
|
||||
chatglmUrl: DEFAULT_CHATGLM_URL,
|
||||
chatglmApiKey: "",
|
||||
|
||||
// server config
|
||||
needCode: true,
|
||||
hideUserApiKey: false,
|
||||
|
@ -180,6 +187,10 @@ export const useAccessStore = createPersistStore(
|
|||
return ensure(get(), ["xaiApiKey"]);
|
||||
},
|
||||
|
||||
isValidChatGLM() {
|
||||
return ensure(get(), ["chatglmApiKey"]);
|
||||
},
|
||||
|
||||
isAuthorized() {
|
||||
this.fetch();
|
||||
|
||||
|
@ -196,6 +207,7 @@ export const useAccessStore = createPersistStore(
|
|||
this.isValidMoonshot() ||
|
||||
this.isValidIflytek() ||
|
||||
this.isValidXAI() ||
|
||||
this.isValidChatGLM() ||
|
||||
!this.enabledAccessControl() ||
|
||||
(this.enabledAccessControl() && ensure(get(), ["accessCode"]))
|
||||
);
|
||||
|
|
|
@ -649,13 +649,14 @@ export const useChatStore = createPersistStore(
|
|||
stream: false,
|
||||
providerName,
|
||||
},
|
||||
onFinish(message) {
|
||||
if (!isValidMessage(message)) return;
|
||||
get().updateCurrentSession(
|
||||
(session) =>
|
||||
(session.topic =
|
||||
message.length > 0 ? trimTopic(message) : DEFAULT_TOPIC),
|
||||
);
|
||||
onFinish(message, responseRes) {
|
||||
if (responseRes?.status === 200) {
|
||||
get().updateCurrentSession(
|
||||
(session) =>
|
||||
(session.topic =
|
||||
message.length > 0 ? trimTopic(message) : DEFAULT_TOPIC),
|
||||
);
|
||||
}
|
||||
},
|
||||
});
|
||||
}
|
||||
|
@ -669,7 +670,7 @@ export const useChatStore = createPersistStore(
|
|||
|
||||
const historyMsgLength = countMessages(toBeSummarizedMsgs);
|
||||
|
||||
if (historyMsgLength > modelConfig?.max_tokens ?? 4000) {
|
||||
if (historyMsgLength > (modelConfig?.max_tokens || 4000)) {
|
||||
const n = toBeSummarizedMsgs.length;
|
||||
toBeSummarizedMsgs = toBeSummarizedMsgs.slice(
|
||||
Math.max(0, n - modelConfig.historyMessageCount),
|
||||
|
@ -715,22 +716,20 @@ export const useChatStore = createPersistStore(
|
|||
onUpdate(message) {
|
||||
session.memoryPrompt = message;
|
||||
},
|
||||
onFinish(message) {
|
||||
console.log("[Memory] ", message);
|
||||
get().updateCurrentSession((session) => {
|
||||
session.lastSummarizeIndex = lastSummarizeIndex;
|
||||
session.memoryPrompt = message; // Update the memory prompt for stored it in local storage
|
||||
});
|
||||
onFinish(message, responseRes) {
|
||||
if (responseRes?.status === 200) {
|
||||
console.log("[Memory] ", message);
|
||||
get().updateCurrentSession((session) => {
|
||||
session.lastSummarizeIndex = lastSummarizeIndex;
|
||||
session.memoryPrompt = message; // Update the memory prompt for stored it in local storage
|
||||
});
|
||||
}
|
||||
},
|
||||
onError(err) {
|
||||
console.error("[Summarize] ", err);
|
||||
},
|
||||
});
|
||||
}
|
||||
|
||||
function isValidMessage(message: any): boolean {
|
||||
return typeof message === "string" && !message.startsWith("```json");
|
||||
}
|
||||
},
|
||||
|
||||
updateStat(message: ChatMessage) {
|
||||
|
|
|
@ -266,7 +266,9 @@ export function isVisionModel(model: string) {
|
|||
model.includes("gpt-4-turbo") && !model.includes("preview");
|
||||
|
||||
return (
|
||||
visionKeywords.some((keyword) => model.includes(keyword)) || isGpt4Turbo
|
||||
visionKeywords.some((keyword) => model.includes(keyword)) ||
|
||||
isGpt4Turbo ||
|
||||
isDalle3(model)
|
||||
);
|
||||
}
|
||||
|
||||
|
@ -278,7 +280,8 @@ export function showPlugins(provider: ServiceProvider, model: string) {
|
|||
if (
|
||||
provider == ServiceProvider.OpenAI ||
|
||||
provider == ServiceProvider.Azure ||
|
||||
provider == ServiceProvider.Moonshot
|
||||
provider == ServiceProvider.Moonshot ||
|
||||
provider == ServiceProvider.ChatGLM
|
||||
) {
|
||||
return true;
|
||||
}
|
||||
|
|
|
@ -174,6 +174,7 @@ export function stream(
|
|||
let finished = false;
|
||||
let running = false;
|
||||
let runTools: any[] = [];
|
||||
let responseRes: Response;
|
||||
|
||||
// animate response to make it looks smooth
|
||||
function animateResponseText() {
|
||||
|
@ -272,7 +273,7 @@ export function stream(
|
|||
}
|
||||
console.debug("[ChatAPI] end");
|
||||
finished = true;
|
||||
options.onFinish(responseText + remainText);
|
||||
options.onFinish(responseText + remainText, responseRes); // 将res传递给onFinish
|
||||
}
|
||||
};
|
||||
|
||||
|
@ -304,6 +305,7 @@ export function stream(
|
|||
clearTimeout(requestTimeoutId);
|
||||
const contentType = res.headers.get("content-type");
|
||||
console.log("[Request] response content type: ", contentType);
|
||||
responseRes = res;
|
||||
|
||||
if (contentType?.startsWith("text/plain")) {
|
||||
responseText = await res.clone().text();
|
||||
|
|
|
@ -19,7 +19,7 @@ type StreamResponse = {
|
|||
headers: Record<string, string>;
|
||||
};
|
||||
|
||||
export function fetch(url: string, options?: RequestInit): Promise<any> {
|
||||
export function fetch(url: string, options?: RequestInit): Promise<Response> {
|
||||
if (window.__TAURI__) {
|
||||
const {
|
||||
signal,
|
||||
|
@ -100,7 +100,8 @@ export function fetch(url: string, options?: RequestInit): Promise<any> {
|
|||
})
|
||||
.catch((e) => {
|
||||
console.error("stream error", e);
|
||||
throw e;
|
||||
// throw e;
|
||||
return new Response("", { status: 599 });
|
||||
});
|
||||
}
|
||||
return window.fetch(url, options);
|
||||
|
|
|
@ -0,0 +1,29 @@
|
|||
# 宝塔面板 的部署说明
|
||||
|
||||
## 拥有自己的宝塔
|
||||
当你需要通过 宝塔面板 部署本项目之前,需要在服务器上先安装好 宝塔面板工具。 接下来的 部署流程 都建立在已有宝塔面板的前提下。宝塔安装请参考 ([宝塔官网](https://www.bt.cn/new/download.html))
|
||||
|
||||
> 注意:本项目需要宝塔面板版本 9.2.0 及以上
|
||||
|
||||
## 一键安装
|
||||

|
||||
1. 在 宝塔面板 -> Docker -> 应用商店 页面,搜索 ChatGPT-Next-Web 找到本项目的docker应用;
|
||||
2. 点击 安装 开始部署本项目
|
||||
|
||||

|
||||
1. 在项目配置页,根据要求开始配置环境变量;
|
||||
2. 如勾选 允许外部访问 配置,请注意为配置的 web端口 开放安全组端口访问权限;
|
||||
3. 请确保你添加了正确的 Open Api Key,否则无法使用;当配置 OpenAI官方 提供的key(国内无法访问),请配置代理地址;
|
||||
4. 建议配置 访问权限密码,否则部署后所有人均可使用已配置的 Open Api Key(当允许外部访问时);
|
||||
5. 点击 确认 开始自动部署。
|
||||
|
||||
## 如何访问
|
||||

|
||||
通过根据 服务器IP地址 和配置的 web端口 http://$(host):$(port),在浏览器中打开 ChatGPT-Next-Web。
|
||||
|
||||

|
||||
若配置了 访问权限密码,访问大模型前需要登录,请点击 登录,获取访问权限。
|
||||
|
||||

|
||||
|
||||

|
Binary file not shown.
After Width: | Height: | Size: 161 KiB |
Binary file not shown.
After Width: | Height: | Size: 196 KiB |
Binary file not shown.
After Width: | Height: | Size: 117 KiB |
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After Width: | Height: | Size: 159 KiB |
Binary file not shown.
After Width: | Height: | Size: 74 KiB |
Binary file not shown.
After Width: | Height: | Size: 146 KiB |
|
@ -1,2 +1,24 @@
|
|||
// Learn more: https://github.com/testing-library/jest-dom
|
||||
import "@testing-library/jest-dom";
|
||||
|
||||
global.fetch = jest.fn(() =>
|
||||
Promise.resolve({
|
||||
ok: true,
|
||||
status: 200,
|
||||
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(""),
|
||||
}),
|
||||
);
|
||||
|
|
|
@ -94,8 +94,12 @@ if (mode !== "export") {
|
|||
source: "/sharegpt",
|
||||
destination: "https://sharegpt.com/api/conversations",
|
||||
},
|
||||
{
|
||||
source: "/api/proxy/alibaba/:path*",
|
||||
destination: "https://dashscope.aliyuncs.com/api/:path*",
|
||||
},
|
||||
];
|
||||
|
||||
|
||||
return {
|
||||
beforeFiles: ret,
|
||||
};
|
||||
|
|
|
@ -33,8 +33,8 @@
|
|||
"html-to-image": "^1.11.11",
|
||||
"idb-keyval": "^6.2.1",
|
||||
"lodash-es": "^4.17.21",
|
||||
"mermaid": "^10.6.1",
|
||||
"markdown-to-txt": "^2.0.1",
|
||||
"mermaid": "^10.6.1",
|
||||
"nanoid": "^5.0.3",
|
||||
"next": "^14.1.1",
|
||||
"node-fetch": "^3.3.1",
|
||||
|
@ -56,9 +56,10 @@
|
|||
"devDependencies": {
|
||||
"@tauri-apps/api": "^1.6.0",
|
||||
"@tauri-apps/cli": "1.5.11",
|
||||
"@testing-library/jest-dom": "^6.4.8",
|
||||
"@testing-library/react": "^16.0.0",
|
||||
"@types/jest": "^29.5.13",
|
||||
"@testing-library/dom": "^10.4.0",
|
||||
"@testing-library/jest-dom": "^6.6.2",
|
||||
"@testing-library/react": "^16.0.1",
|
||||
"@types/jest": "^29.5.14",
|
||||
"@types/js-yaml": "4.0.9",
|
||||
"@types/lodash-es": "^4.17.12",
|
||||
"@types/node": "^20.11.30",
|
||||
|
|
|
@ -119,11 +119,22 @@ pub async fn stream_fetch(
|
|||
}
|
||||
}
|
||||
Err(err) => {
|
||||
println!("Error response: {:?}", err.source().expect("REASON").to_string());
|
||||
let error: String = err.source()
|
||||
.map(|e| e.to_string())
|
||||
.unwrap_or_else(|| "Unknown error occurred".to_string());
|
||||
println!("Error response: {:?}", error);
|
||||
tauri::async_runtime::spawn( async move {
|
||||
if let Err(e) = window.emit(event_name, ChunkPayload{ request_id, chunk: error.into() }) {
|
||||
println!("Failed to emit chunk payload: {:?}", e);
|
||||
}
|
||||
if let Err(e) = window.emit(event_name, EndPayload{ request_id, status: 0 }) {
|
||||
println!("Failed to emit end payload: {:?}", e);
|
||||
}
|
||||
});
|
||||
StreamResponse {
|
||||
request_id,
|
||||
status: 599,
|
||||
status_text: err.source().expect("REASON").to_string(),
|
||||
status_text: "Error".to_string(),
|
||||
headers: HashMap::new(),
|
||||
}
|
||||
}
|
||||
|
|
|
@ -9,7 +9,7 @@
|
|||
},
|
||||
"package": {
|
||||
"productName": "NextChat",
|
||||
"version": "2.15.5"
|
||||
"version": "2.15.6"
|
||||
},
|
||||
"tauri": {
|
||||
"allowlist": {
|
||||
|
|
102
yarn.lock
102
yarn.lock
|
@ -27,6 +27,15 @@
|
|||
dependencies:
|
||||
"@babel/highlight" "^7.18.6"
|
||||
|
||||
"@babel/code-frame@^7.10.4":
|
||||
version "7.26.0"
|
||||
resolved "https://registry.npmmirror.com/@babel/code-frame/-/code-frame-7.26.0.tgz#9374b5cd068d128dac0b94ff482594273b1c2815"
|
||||
integrity sha512-INCKxTtbXtcNbUZ3YXutwMpEleqttcswhAdee7dhuoVrD2cnuc3PqtERBtxkX5nziX9vnBL8WXmSGwv8CuPV6g==
|
||||
dependencies:
|
||||
"@babel/helper-validator-identifier" "^7.25.9"
|
||||
js-tokens "^4.0.0"
|
||||
picocolors "^1.0.0"
|
||||
|
||||
"@babel/code-frame@^7.12.13", "@babel/code-frame@^7.24.7":
|
||||
version "7.24.7"
|
||||
resolved "https://registry.npmmirror.com/@babel/code-frame/-/code-frame-7.24.7.tgz#882fd9e09e8ee324e496bd040401c6f046ef4465"
|
||||
|
@ -394,6 +403,11 @@
|
|||
resolved "https://registry.npmmirror.com/@babel/helper-validator-identifier/-/helper-validator-identifier-7.24.7.tgz#75b889cfaf9e35c2aaf42cf0d72c8e91719251db"
|
||||
integrity sha512-rR+PBcQ1SMQDDyF6X0wxtG8QyLCgUB0eRAGguqRLfkCA87l7yAP7ehq8SNj96OOGTO8OBV70KhuFYcIkHXOg0w==
|
||||
|
||||
"@babel/helper-validator-identifier@^7.25.9":
|
||||
version "7.25.9"
|
||||
resolved "https://registry.npmmirror.com/@babel/helper-validator-identifier/-/helper-validator-identifier-7.25.9.tgz#24b64e2c3ec7cd3b3c547729b8d16871f22cbdc7"
|
||||
integrity sha512-Ed61U6XJc3CVRfkERJWDz4dJwKe7iLmmJsbOGu9wSloNSFttHV0I8g6UAgb7qnK5ly5bGLPd4oXZlxCdANBOWQ==
|
||||
|
||||
"@babel/helper-validator-option@^7.18.6", "@babel/helper-validator-option@^7.21.0":
|
||||
version "7.21.0"
|
||||
resolved "https://registry.yarnpkg.com/@babel/helper-validator-option/-/helper-validator-option-7.21.0.tgz#8224c7e13ace4bafdc4004da2cf064ef42673180"
|
||||
|
@ -1187,14 +1201,7 @@
|
|||
resolved "https://registry.yarnpkg.com/@babel/regjsgen/-/regjsgen-0.8.0.tgz#f0ba69b075e1f05fb2825b7fad991e7adbb18310"
|
||||
integrity sha512-x/rqGMdzj+fWZvCOYForTghzbtqPDZ5gPwaoNGHdgDfF2QA/XZbCBp4Moo5scrkAMPhB7z26XM/AaHuIJdgauA==
|
||||
|
||||
"@babel/runtime@^7.12.1", "@babel/runtime@^7.20.7", "@babel/runtime@^7.23.2", "@babel/runtime@^7.8.4", "@babel/runtime@^7.9.2":
|
||||
version "7.23.6"
|
||||
resolved "https://registry.yarnpkg.com/@babel/runtime/-/runtime-7.23.6.tgz#c05e610dc228855dc92ef1b53d07389ed8ab521d"
|
||||
integrity sha512-zHd0eUrf5GZoOWVCXp6koAKQTfZV07eit6bGPmJgnZdnSAvvZee6zniW2XMF7Cmc4ISOOnPy3QaSiIJGJkVEDQ==
|
||||
dependencies:
|
||||
regenerator-runtime "^0.14.0"
|
||||
|
||||
"@babel/runtime@^7.12.5", "@babel/runtime@^7.21.0":
|
||||
"@babel/runtime@^7.12.1", "@babel/runtime@^7.12.5", "@babel/runtime@^7.20.7", "@babel/runtime@^7.21.0", "@babel/runtime@^7.23.2", "@babel/runtime@^7.8.4", "@babel/runtime@^7.9.2":
|
||||
version "7.25.0"
|
||||
resolved "https://registry.yarnpkg.com/@babel/runtime/-/runtime-7.25.0.tgz#3af9a91c1b739c569d5d80cc917280919c544ecb"
|
||||
integrity sha512-7dRy4DwXwtzBrPbZflqxnvfxLF8kdZXPkhymtDeFoFqE6ldzjQFgYTtYIFARcLEYDrqfBfYcZt1WqFxRoyC9Rw==
|
||||
|
@ -2093,13 +2100,26 @@
|
|||
"@tauri-apps/cli-win32-ia32-msvc" "1.5.11"
|
||||
"@tauri-apps/cli-win32-x64-msvc" "1.5.11"
|
||||
|
||||
"@testing-library/jest-dom@^6.4.8":
|
||||
version "6.4.8"
|
||||
resolved "https://registry.npmmirror.com/@testing-library/jest-dom/-/jest-dom-6.4.8.tgz#9c435742b20c6183d4e7034f2b329d562c079daa"
|
||||
integrity sha512-JD0G+Zc38f5MBHA4NgxQMR5XtO5Jx9g86jqturNTt2WUfRmLDIY7iKkWHDCCTiDuFMre6nxAD5wHw9W5kI4rGw==
|
||||
"@testing-library/dom@^10.4.0":
|
||||
version "10.4.0"
|
||||
resolved "https://registry.npmmirror.com/@testing-library/dom/-/dom-10.4.0.tgz#82a9d9462f11d240ecadbf406607c6ceeeff43a8"
|
||||
integrity sha512-pemlzrSESWbdAloYml3bAJMEfNh1Z7EduzqPKprCH5S341frlpYnUEW0H72dLxa6IsYr+mPno20GiSm+h9dEdQ==
|
||||
dependencies:
|
||||
"@babel/code-frame" "^7.10.4"
|
||||
"@babel/runtime" "^7.12.5"
|
||||
"@types/aria-query" "^5.0.1"
|
||||
aria-query "5.3.0"
|
||||
chalk "^4.1.0"
|
||||
dom-accessibility-api "^0.5.9"
|
||||
lz-string "^1.5.0"
|
||||
pretty-format "^27.0.2"
|
||||
|
||||
"@testing-library/jest-dom@^6.6.2":
|
||||
version "6.6.2"
|
||||
resolved "https://registry.yarnpkg.com/@testing-library/jest-dom/-/jest-dom-6.6.2.tgz#8186aa9a07263adef9cc5a59a4772db8c31f4a5b"
|
||||
integrity sha512-P6GJD4yqc9jZLbe98j/EkyQDTPgqftohZF5FBkHY5BUERZmcf4HeO2k0XaefEg329ux2p21i1A1DmyQ1kKw2Jw==
|
||||
dependencies:
|
||||
"@adobe/css-tools" "^4.4.0"
|
||||
"@babel/runtime" "^7.9.2"
|
||||
aria-query "^5.0.0"
|
||||
chalk "^3.0.0"
|
||||
css.escape "^1.5.1"
|
||||
|
@ -2107,10 +2127,10 @@
|
|||
lodash "^4.17.21"
|
||||
redent "^3.0.0"
|
||||
|
||||
"@testing-library/react@^16.0.0":
|
||||
version "16.0.0"
|
||||
resolved "https://registry.npmmirror.com/@testing-library/react/-/react-16.0.0.tgz#0a1e0c7a3de25841c3591b8cb7fb0cf0c0a27321"
|
||||
integrity sha512-guuxUKRWQ+FgNX0h0NS0FIq3Q3uLtWVpBzcLOggmfMoUpgBnzBzvLLd4fbm6yS8ydJd94cIfY4yP9qUQjM2KwQ==
|
||||
"@testing-library/react@^16.0.1":
|
||||
version "16.0.1"
|
||||
resolved "https://registry.yarnpkg.com/@testing-library/react/-/react-16.0.1.tgz#29c0ee878d672703f5e7579f239005e4e0faa875"
|
||||
integrity sha512-dSmwJVtJXmku+iocRhWOUFbrERC76TX2Mnf0ATODz8brzAZrMBbzLwQixlBSanZxR6LddK3eiwpSFZgDET1URg==
|
||||
dependencies:
|
||||
"@babel/runtime" "^7.12.5"
|
||||
|
||||
|
@ -2144,6 +2164,11 @@
|
|||
resolved "https://registry.npmmirror.com/@tsconfig/node16/-/node16-1.0.4.tgz#0b92dcc0cc1c81f6f306a381f28e31b1a56536e9"
|
||||
integrity sha512-vxhUy4J8lyeyinH7Azl1pdd43GJhZH/tP2weN8TntQblOY+A0XbT8DJk1/oCPuOOyg/Ja757rG0CgHcWC8OfMA==
|
||||
|
||||
"@types/aria-query@^5.0.1":
|
||||
version "5.0.4"
|
||||
resolved "https://registry.npmmirror.com/@types/aria-query/-/aria-query-5.0.4.tgz#1a31c3d378850d2778dabb6374d036dcba4ba708"
|
||||
integrity sha512-rfT93uj5s0PRL7EzccGMs3brplhcrghnDoV26NqKhCAS1hVo+WdNsPvE/yb6ilfr5hi2MEk6d5EWJTKdxg8jVw==
|
||||
|
||||
"@types/babel__core@^7.1.14":
|
||||
version "7.20.5"
|
||||
resolved "https://registry.npmmirror.com/@types/babel__core/-/babel__core-7.20.5.tgz#3df15f27ba85319caa07ba08d0721889bb39c017"
|
||||
|
@ -2263,10 +2288,10 @@
|
|||
dependencies:
|
||||
"@types/istanbul-lib-report" "*"
|
||||
|
||||
"@types/jest@^29.5.13":
|
||||
version "29.5.13"
|
||||
resolved "https://registry.yarnpkg.com/@types/jest/-/jest-29.5.13.tgz#8bc571659f401e6a719a7bf0dbcb8b78c71a8adc"
|
||||
integrity sha512-wd+MVEZCHt23V0/L642O5APvspWply/rGY5BcW4SUETo2UzPU3Z26qr8jC2qxpimI2jjx9h7+2cj2FwIr01bXg==
|
||||
"@types/jest@^29.5.14":
|
||||
version "29.5.14"
|
||||
resolved "https://registry.yarnpkg.com/@types/jest/-/jest-29.5.14.tgz#2b910912fa1d6856cadcd0c1f95af7df1d6049e5"
|
||||
integrity sha512-ZN+4sdnLUbo8EVvVc2ao0GFW6oVrQRPn4K2lglySj7APvSrgzxHiNNK99us4WDMi57xxA2yggblIAMNhXOotLQ==
|
||||
dependencies:
|
||||
expect "^29.0.0"
|
||||
pretty-format "^29.0.0"
|
||||
|
@ -2738,20 +2763,13 @@ argparse@^2.0.1:
|
|||
resolved "https://registry.yarnpkg.com/argparse/-/argparse-2.0.1.tgz#246f50f3ca78a3240f6c997e8a9bd1eac49e4b38"
|
||||
integrity sha512-8+9WqebbFzpX9OR+Wa6O29asIogeRMzcGtAINdpMHHyAg10f05aSFVBbcEqGf/PXw1EjAZ+q2/bEBg3DvurK3Q==
|
||||
|
||||
aria-query@^5.0.0:
|
||||
aria-query@5.3.0, aria-query@^5.0.0, aria-query@^5.1.3:
|
||||
version "5.3.0"
|
||||
resolved "https://registry.npmmirror.com/aria-query/-/aria-query-5.3.0.tgz#650c569e41ad90b51b3d7df5e5eed1c7549c103e"
|
||||
integrity sha512-b0P0sZPKtyu8HkeRAfCq0IfURZK+SuwMjY1UXGBU27wpAiTwQAIlq56IbIO+ytk/JjS1fMR14ee5WBBfKi5J6A==
|
||||
dependencies:
|
||||
dequal "^2.0.3"
|
||||
|
||||
aria-query@^5.1.3:
|
||||
version "5.1.3"
|
||||
resolved "https://registry.yarnpkg.com/aria-query/-/aria-query-5.1.3.tgz#19db27cd101152773631396f7a95a3b58c22c35e"
|
||||
integrity sha512-R5iJ5lkuHybztUfuOAznmboyjWq8O6sqNqtK7CLOqdydi54VNbORp49mb14KbWgG1QD3JFO9hJdZ+y4KutfdOQ==
|
||||
dependencies:
|
||||
deep-equal "^2.0.5"
|
||||
|
||||
array-buffer-byte-length@^1.0.0:
|
||||
version "1.0.0"
|
||||
resolved "https://registry.yarnpkg.com/array-buffer-byte-length/-/array-buffer-byte-length-1.0.0.tgz#fabe8bc193fea865f317fe7807085ee0dee5aead"
|
||||
|
@ -3081,7 +3099,7 @@ chalk@^3.0.0:
|
|||
ansi-styles "^4.1.0"
|
||||
supports-color "^7.1.0"
|
||||
|
||||
chalk@^4.0.0, chalk@^4.1.2:
|
||||
chalk@^4.0.0, chalk@^4.1.0, chalk@^4.1.2:
|
||||
version "4.1.2"
|
||||
resolved "https://registry.yarnpkg.com/chalk/-/chalk-4.1.2.tgz#aac4e2b7734a740867aeb16bf02aad556a1e7a01"
|
||||
integrity sha512-oKnbhFyRIXpUuez8iBMmyEa4nbj4IOQyuhc/wy9kY7/WVPcwIO9VA668Pu8RkO7+0G76SLROeyw9CpQ061i4mA==
|
||||
|
@ -3877,6 +3895,11 @@ doctrine@^3.0.0:
|
|||
dependencies:
|
||||
esutils "^2.0.2"
|
||||
|
||||
dom-accessibility-api@^0.5.9:
|
||||
version "0.5.16"
|
||||
resolved "https://registry.npmmirror.com/dom-accessibility-api/-/dom-accessibility-api-0.5.16.tgz#5a7429e6066eb3664d911e33fb0e45de8eb08453"
|
||||
integrity sha512-X7BJ2yElsnOJ30pZF4uIIDfBEVgF4XEBxL9Bxhy6dnrm5hkzqmsWHGTiHqRiITNhMyFLyAiWndIJP7Z1NTteDg==
|
||||
|
||||
dom-accessibility-api@^0.6.3:
|
||||
version "0.6.3"
|
||||
resolved "https://registry.npmmirror.com/dom-accessibility-api/-/dom-accessibility-api-0.6.3.tgz#993e925cc1d73f2c662e7d75dd5a5445259a8fd8"
|
||||
|
@ -6052,6 +6075,11 @@ lru-cache@^6.0.0:
|
|||
dependencies:
|
||||
yallist "^4.0.0"
|
||||
|
||||
lz-string@^1.5.0:
|
||||
version "1.5.0"
|
||||
resolved "https://registry.npmmirror.com/lz-string/-/lz-string-1.5.0.tgz#c1ab50f77887b712621201ba9fd4e3a6ed099941"
|
||||
integrity sha512-h5bgJWpxJNswbU7qCrV0tIKQCaS3blPDrqKWx+QxzuzL1zGUzij9XCWLrSLsJPu5t+eWA/ycetzYAO5IOMcWAQ==
|
||||
|
||||
make-dir@^4.0.0:
|
||||
version "4.0.0"
|
||||
resolved "https://registry.npmmirror.com/make-dir/-/make-dir-4.0.0.tgz#c3c2307a771277cd9638305f915c29ae741b614e"
|
||||
|
@ -7018,6 +7046,15 @@ prettier@^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"
|
||||
resolved "https://registry.npmmirror.com/pretty-format/-/pretty-format-27.5.1.tgz#2181879fdea51a7a5851fb39d920faa63f01d88e"
|
||||
integrity sha512-Qb1gy5OrP5+zDf2Bvnzdl3jsTf1qXVMazbvCoKhtKqVs4/YK4ozX4gKQJJVyNe+cajNPn0KoC0MC3FUmaHWEmQ==
|
||||
dependencies:
|
||||
ansi-regex "^5.0.1"
|
||||
ansi-styles "^5.0.0"
|
||||
react-is "^17.0.1"
|
||||
|
||||
pretty-format@^29.0.0, pretty-format@^29.7.0:
|
||||
version "29.7.0"
|
||||
resolved "https://registry.npmmirror.com/pretty-format/-/pretty-format-29.7.0.tgz#ca42c758310f365bfa71a0bda0a807160b776812"
|
||||
|
@ -7109,6 +7146,11 @@ react-is@^16.13.1, react-is@^16.7.0:
|
|||
resolved "https://registry.yarnpkg.com/react-is/-/react-is-16.13.1.tgz#789729a4dc36de2999dc156dd6c1d9c18cea56a4"
|
||||
integrity sha512-24e6ynE2H+OKt4kqsOvNd8kBpV65zoxbA4BVsEOB3ARVWQki/DHzaUoC5KuON/BiccDaCCTZBuOcfZs70kR8bQ==
|
||||
|
||||
react-is@^17.0.1:
|
||||
version "17.0.2"
|
||||
resolved "https://registry.npmmirror.com/react-is/-/react-is-17.0.2.tgz#e691d4a8e9c789365655539ab372762b0efb54f0"
|
||||
integrity sha512-w2GsyukL62IJnlaff/nRegPQR94C/XXamvMWmSHRJ4y7Ts/4ocGRmTHvOs8PSE6pB3dWOrD/nueuU5sduBsQ4w==
|
||||
|
||||
react-is@^18.0.0:
|
||||
version "18.2.0"
|
||||
resolved "https://registry.yarnpkg.com/react-is/-/react-is-18.2.0.tgz#199431eeaaa2e09f86427efbb4f1473edb47609b"
|
||||
|
|
Loading…
Reference in New Issue