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ChatGPT-Next-Web
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Merge branch 'ChatGPTNextWeb:main' into main

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48 changed files with 2233 additions and 342 deletions
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7
.env.template
View File

@ -78,6 +78,11 @@ ANTHROPIC_API_VERSION=
### anthropic claude Api url (optional)
ANTHROPIC_URL=
### (optional)
WHITE_WEBDAV_ENDPOINTS=
### siliconflow Api key (optional)
SILICONFLOW_API_KEY=
### siliconflow Api url (optional)
SILICONFLOW_URL=

2
LICENSE
View File

@ -1,6 +1,6 @@
MIT License
Copyright (c) 2023-2024 Zhang Yifei
Copyright (c) 2023-2025 NextChat
Permission is hereby granted, free of charge, to any person obtaining a copy
of this software and associated documentation files (the "Software"), to deal

31
README.md
View File

@ -1,6 +1,6 @@
<div align="center">
<a href='https://nextchat.dev/chat'>
<a href='https://nextchat.club'>
<img src="https://github.com/user-attachments/assets/83bdcc07-ae5e-4954-a53a-ac151ba6ccf3" width="1000" alt="icon"/>
</a>
@ -22,10 +22,10 @@ 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)
[saas-url]: https://nextchat.dev/chat?utm_source=readme
[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/
[download-url]: https://github.com/Yidadaa/ChatGPT-Next-Web/releases
@ -40,6 +40,24 @@ English / [简体中文](./README_CN.md)
</div>
## 👋 Hey, NextChat is going to develop a native app!
> 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
@ -355,6 +373,13 @@ Customize Stability API url.
Enable MCP（Model Context Protocol）Feature
### `SILICONFLOW_API_KEY` (optional)
SiliconFlow API Key.
### `SILICONFLOW_URL` (optional)
SiliconFlow API URL.
## Requirements

9
README_CN.md
View File

@ -8,7 +8,7 @@
一键免费部署你的私人 ChatGPT 网页应用，支持 Claude, GPT4 & Gemini Pro 模型。
[NextChatAI](https://nextchat.dev/chat?utm_source=readme) / [企业版](#%E4%BC%81%E4%B8%9A%E7%89%88) / [演示 Demo](https://chat-gpt-next-web.vercel.app/) / [反馈 Issues](https://github.com/Yidadaa/ChatGPT-Next-Web/issues) / [加入 Discord](https://discord.gg/zrhvHCr79N)
[NextChatAI](https://nextchat.club?utm_source=readme) / [企业版](#%E4%BC%81%E4%B8%9A%E7%89%88) / [演示 Demo](https://chat-gpt-next-web.vercel.app/) / [反馈 Issues](https://github.com/Yidadaa/ChatGPT-Next-Web/issues) / [加入 Discord](https://discord.gg/zrhvHCr79N)
[<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)
@ -271,6 +271,13 @@ Stability API密钥
启用MCP（Model Context Protocol）功能
### `SILICONFLOW_API_KEY` (optional)
SiliconFlow API Key.
### `SILICONFLOW_URL` (optional)
SiliconFlow API URL.
## 开发

2
README_JA.md
View File

@ -5,7 +5,7 @@
ワンクリックで無料であなた専用の ChatGPT ウェブアプリをデプロイ。GPT3、GPT4 & Gemini Pro モデルをサポート。
[NextChatAI](https://nextchat.dev/chat?utm_source=readme) / [企業版](#企業版) / [デモ](https://chat-gpt-next-web.vercel.app/) / [フィードバック](https://github.com/Yidadaa/ChatGPT-Next-Web/issues) / [Discordに参加](https://discord.gg/zrhvHCr79N)
[NextChatAI](https://nextchat.club?utm_source=readme) / [企業版](#企業版) / [デモ](https://chat-gpt-next-web.vercel.app/) / [フィードバック](https://github.com/Yidadaa/ChatGPT-Next-Web/issues) / [Discordに参加](https://discord.gg/zrhvHCr79N)
[<img src="https://vercel.com/button" alt="Zeaburでデプロイ" 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="Zeaburでデプロイ" height="30">](https://zeabur.com/templates/ZBUEFA) [<img src="https://gitpod.io/button/open-in-gitpod.svg" alt="Gitpodで開く" height="30">](https://gitpod.io/#https://github.com/Yidadaa/ChatGPT-Next-Web)

3
app/api/[provider]/[...path]/route.ts
View File

@ -11,6 +11,7 @@ import { handle as moonshotHandler } from "../../moonshot";
import { handle as stabilityHandler } from "../../stability";
import { handle as iflytekHandler } from "../../iflytek";
import { handle as deepseekHandler } from "../../deepseek";
import { handle as siliconflowHandler } from "../../siliconflow";
import { handle as xaiHandler } from "../../xai";
import { handle as chatglmHandler } from "../../glm";
import { handle as proxyHandler } from "../../proxy";
@ -47,6 +48,8 @@ async function handle(
return xaiHandler(req, { params });
case ApiPath.ChatGLM:
return chatglmHandler(req, { params });
case ApiPath.SiliconFlow:
return siliconflowHandler(req, { params });
case ApiPath.OpenAI:
return openaiHandler(req, { params });
default:

3
app/api/auth.ts
View File

@ -101,6 +101,9 @@ export function auth(req: NextRequest, modelProvider: ModelProvider) {
case ModelProvider.ChatGLM:
systemApiKey = serverConfig.chatglmApiKey;
break;
case ModelProvider.SiliconFlow:
systemApiKey = serverConfig.siliconFlowApiKey;
break;
case ModelProvider.GPT:
default:
if (req.nextUrl.pathname.includes("azure/deployments")) {

8
app/api/openai.ts
View File

@ -14,8 +14,12 @@ function getModels(remoteModelRes: OpenAIListModelResponse) {
if (config.disableGPT4) {
remoteModelRes.data = remoteModelRes.data.filter(
(m) =>
!(m.id.startsWith("gpt-4") || m.id.startsWith("chatgpt-4o") || m.id.startsWith("o1") || m.id.startsWith("o3")) ||
m.id.startsWith("gpt-4o-mini"),
!(
m.id.startsWith("gpt-4") ||
m.id.startsWith("chatgpt-4o") ||
m.id.startsWith("o1") ||
m.id.startsWith("o3")
) || m.id.startsWith("gpt-4o-mini"),
);
}

128
app/api/siliconflow.ts Normal file
View File

@ -0,0 +1,128 @@
import { getServerSideConfig } from "@/app/config/server";
import {
SILICONFLOW_BASE_URL,
ApiPath,
ModelProvider,
ServiceProvider,
} from "@/app/constant";
import { prettyObject } from "@/app/utils/format";
import { NextRequest, NextResponse } from "next/server";
import { auth } from "@/app/api/auth";
import { isModelNotavailableInServer } from "@/app/utils/model";
const serverConfig = getServerSideConfig();
export async function handle(
req: NextRequest,
{ params }: { params: { path: string[] } },
) {
console.log("[SiliconFlow Route] params ", params);
if (req.method === "OPTIONS") {
return NextResponse.json({ body: "OK" }, { status: 200 });
}
const authResult = auth(req, ModelProvider.SiliconFlow);
if (authResult.error) {
return NextResponse.json(authResult, {
status: 401,
});
}
try {
const response = await request(req);
return response;
} catch (e) {
console.error("[SiliconFlow] ", e);
return NextResponse.json(prettyObject(e));
}
}
async function request(req: NextRequest) {
const controller = new AbortController();
// alibaba use base url or just remove the path
let path = `${req.nextUrl.pathname}`.replaceAll(ApiPath.SiliconFlow, "");
let baseUrl = serverConfig.siliconFlowUrl || SILICONFLOW_BASE_URL;
if (!baseUrl.startsWith("http")) {
baseUrl = `https://${baseUrl}`;
}
if (baseUrl.endsWith("/")) {
baseUrl = baseUrl.slice(0, -1);
}
console.log("[Proxy] ", path);
console.log("[Base Url]", baseUrl);
const timeoutId = setTimeout(
() => {
controller.abort();
},
10 * 60 * 1000,
);
const fetchUrl = `${baseUrl}${path}`;
const fetchOptions: RequestInit = {
headers: {
"Content-Type": "application/json",
Authorization: req.headers.get("Authorization") ?? "",
},
method: req.method,
body: req.body,
redirect: "manual",
// @ts-ignore
duplex: "half",
signal: controller.signal,
};
// #1815 try to refuse some request to some models
if (serverConfig.customModels && req.body) {
try {
const clonedBody = await req.text();
fetchOptions.body = clonedBody;
const jsonBody = JSON.parse(clonedBody) as { model?: string };
// not undefined and is false
if (
isModelNotavailableInServer(
serverConfig.customModels,
jsonBody?.model as string,
ServiceProvider.SiliconFlow as string,
)
) {
return NextResponse.json(
{
error: true,
message: `you are not allowed to use ${jsonBody?.model} model`,
},
{
status: 403,
},
);
}
} catch (e) {
console.error(`[SiliconFlow] filter`, e);
}
}
try {
const res = await fetch(fetchUrl, fetchOptions);
// to prevent browser prompt for credentials
const newHeaders = new Headers(res.headers);
newHeaders.delete("www-authenticate");
// to disable nginx buffering
newHeaders.set("X-Accel-Buffering", "no");
return new Response(res.body, {
status: res.status,
statusText: res.statusText,
headers: newHeaders,
});
} finally {
clearTimeout(timeoutId);
}
}

17
app/client/api.ts
View File

@ -23,6 +23,7 @@ import { SparkApi } from "./platforms/iflytek";
import { DeepSeekApi } from "./platforms/deepseek";
import { XAIApi } from "./platforms/xai";
import { ChatGLMApi } from "./platforms/glm";
import { SiliconflowApi } from "./platforms/siliconflow";
export const ROLES = ["system", "user", "assistant"] as const;
export type MessageRole = (typeof ROLES)[number];
@ -39,6 +40,11 @@ export interface MultimodalContent {
};
}
export interface MultimodalContentForAlibaba {
text?: string;
image?: string;
}
export interface RequestMessage {
role: MessageRole;
content: string | MultimodalContent[];
@ -164,6 +170,9 @@ export class ClientApi {
case ModelProvider.ChatGLM:
this.llm = new ChatGLMApi();
break;
case ModelProvider.SiliconFlow:
this.llm = new SiliconflowApi();
break;
default:
this.llm = new ChatGPTApi();
}
@ -254,6 +263,8 @@ export function getHeaders(ignoreHeaders: boolean = false) {
const isDeepSeek = modelConfig.providerName === ServiceProvider.DeepSeek;
const isXAI = modelConfig.providerName === ServiceProvider.XAI;
const isChatGLM = modelConfig.providerName === ServiceProvider.ChatGLM;
const isSiliconFlow =
modelConfig.providerName === ServiceProvider.SiliconFlow;
const isEnabledAccessControl = accessStore.enabledAccessControl();
const apiKey = isGoogle
? accessStore.googleApiKey
@ -273,6 +284,8 @@ export function getHeaders(ignoreHeaders: boolean = false) {
? accessStore.deepseekApiKey
: isChatGLM
? accessStore.chatglmApiKey
: isSiliconFlow
? accessStore.siliconflowApiKey
: isIflytek
? accessStore.iflytekApiKey && accessStore.iflytekApiSecret
? accessStore.iflytekApiKey + ":" + accessStore.iflytekApiSecret
@ -290,6 +303,7 @@ export function getHeaders(ignoreHeaders: boolean = false) {
isDeepSeek,
isXAI,
isChatGLM,
isSiliconFlow,
apiKey,
isEnabledAccessControl,
};
@ -317,6 +331,7 @@ export function getHeaders(ignoreHeaders: boolean = false) {
isDeepSeek,
isXAI,
isChatGLM,
isSiliconFlow,
apiKey,
isEnabledAccessControl,
} = getConfig();
@ -365,6 +380,8 @@ export function getClientApi(provider: ServiceProvider): ClientApi {
return new ClientApi(ModelProvider.XAI);
case ServiceProvider.ChatGLM:
return new ClientApi(ModelProvider.ChatGLM);
case ServiceProvider.SiliconFlow:
return new ClientApi(ModelProvider.SiliconFlow);
default:
return new ClientApi(ModelProvider.GPT);
}

250
app/client/platforms/alibaba.ts
View File

@ -1,12 +1,16 @@
"use client";
import { ApiPath, Alibaba, ALIBABA_BASE_URL } from "@/app/constant";
import {
ApiPath,
Alibaba,
ALIBABA_BASE_URL,
REQUEST_TIMEOUT_MS,
} from "@/app/constant";
import { useAccessStore, useAppConfig, useChatStore } from "@/app/store";
useAccessStore,
useAppConfig,
useChatStore,
ChatMessageTool,
usePluginStore,
} from "@/app/store";
import {
preProcessImageContentForAlibabaDashScope,
streamWithThink,
} from "@/app/utils/chat";
import {
ChatOptions,
getHeaders,
@ -14,15 +18,15 @@ import {
LLMModel,
SpeechOptions,
MultimodalContent,
MultimodalContentForAlibaba,
} from "../api";
import Locale from "../../locales";
import {
EventStreamContentType,
fetchEventSource,
} from "@fortaine/fetch-event-source";
import { prettyObject } from "@/app/utils/format";
import { getClientConfig } from "@/app/config/client";
import { getMessageTextContent } from "@/app/utils";
import {
getMessageTextContent,
getMessageTextContentWithoutThinking,
getTimeoutMSByModel,
isVisionModel,
} from "@/app/utils";
import { fetch } from "@/app/utils/stream";
export interface OpenAIListModelResponse {
@ -90,11 +94,6 @@ export class QwenApi implements LLMApi {
}
async chat(options: ChatOptions) {
const messages = options.messages.map((v) => ({
role: v.role,
content: getMessageTextContent(v),
}));
const modelConfig = {
...useAppConfig.getState().modelConfig,
...useChatStore.getState().currentSession().mask.modelConfig,
@ -103,6 +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,
@ -122,134 +136,120 @@ export class QwenApi implements LLMApi {
options.onController?.(controller);
try {
const chatPath = this.path(Alibaba.ChatPath);
const headers = {
...getHeaders(),
"X-DashScope-SSE": shouldStream ? "enable" : "disable",
};
const chatPath = this.path(Alibaba.ChatPath(modelConfig.model));
const chatPayload = {
method: "POST",
body: JSON.stringify(requestPayload),
signal: controller.signal,
headers: {
...getHeaders(),
"X-DashScope-SSE": shouldStream ? "enable" : "disable",
},
headers: headers,
};
// make a fetch request
const requestTimeoutId = setTimeout(
() => controller.abort(),
REQUEST_TIMEOUT_MS,
getTimeoutMSByModel(options.config.model),
);
if (shouldStream) {
let responseText = "";
let remainText = "";
let finished = false;
let responseRes: Response;
const [tools, funcs] = usePluginStore
.getState()
.getAsTools(
useChatStore.getState().currentSession().mask?.plugin || [],
);
return streamWithThink(
chatPath,
requestPayload,
headers,
tools as any,
funcs,
controller,
// parseSSE
(text: string, runTools: ChatMessageTool[]) => {
// console.log("parseSSE", text, runTools);
const json = JSON.parse(text);
const choices = json.output.choices as Array<{
message: {
content: string | null | MultimodalContentForAlibaba[];
tool_calls: ChatMessageTool[];
reasoning_content: string | null;
};
}>;
// animate response to make it looks smooth
function animateResponseText() {
if (finished || controller.signal.aborted) {
responseText += remainText;
console.log("[Response Animation] finished");
if (responseText?.length === 0) {
options.onError?.(new Error("empty response from server"));
}
return;
}
if (!choices?.length) return { isThinking: false, content: "" };
if (remainText.length > 0) {
const fetchCount = Math.max(1, Math.round(remainText.length / 60));
const fetchText = remainText.slice(0, fetchCount);
responseText += fetchText;
remainText = remainText.slice(fetchCount);
options.onUpdate?.(responseText, fetchText);
}
requestAnimationFrame(animateResponseText);
}
// start animaion
animateResponseText();
const finish = () => {
if (!finished) {
finished = true;
options.onFinish(responseText + remainText, responseRes);
}
};
controller.signal.onabort = finish;
fetchEventSource(chatPath, {
fetch: fetch as any,
...chatPayload,
async onopen(res) {
clearTimeout(requestTimeoutId);
const contentType = res.headers.get("content-type");
console.log(
"[Alibaba] request response content type: ",
contentType,
);
responseRes = res;
if (contentType?.startsWith("text/plain")) {
responseText = await res.clone().text();
return finish();
const tool_calls = choices[0]?.message?.tool_calls;
if (tool_calls?.length > 0) {
const index = tool_calls[0]?.index;
const id = tool_calls[0]?.id;
const args = tool_calls[0]?.function?.arguments;
if (id) {
runTools.push({
id,
type: tool_calls[0]?.type,
function: {
name: tool_calls[0]?.function?.name as string,
arguments: args,
},
});
} else {
// @ts-ignore
runTools[index]["function"]["arguments"] += args;
}
}
const reasoning = choices[0]?.message?.reasoning_content;
const content = choices[0]?.message?.content;
// Skip if both content and reasoning_content are empty or null
if (
!res.ok ||
!res.headers
.get("content-type")
?.startsWith(EventStreamContentType) ||
res.status !== 200
(!reasoning || reasoning.length === 0) &&
(!content || content.length === 0)
) {
const responseTexts = [responseText];
let extraInfo = await res.clone().text();
try {
const resJson = await res.clone().json();
extraInfo = prettyObject(resJson);
} catch {}
if (res.status === 401) {
responseTexts.push(Locale.Error.Unauthorized);
}
if (extraInfo) {
responseTexts.push(extraInfo);
}
responseText = responseTexts.join("\n\n");
return finish();
return {
isThinking: false,
content: "",
};
}
},
onmessage(msg) {
if (msg.data === "[DONE]" || finished) {
return finish();
}
const text = msg.data;
try {
const json = JSON.parse(text);
const choices = json.output.choices as Array<{
message: { content: string };
}>;
const delta = choices[0]?.message?.content;
if (delta) {
remainText += delta;
}
} catch (e) {
console.error("[Request] parse error", text, msg);
if (reasoning && reasoning.length > 0) {
return {
isThinking: true,
content: reasoning,
};
} else if (content && content.length > 0) {
return {
isThinking: false,
content: Array.isArray(content)
? content.map((item) => item.text).join(",")
: content,
};
}
return {
isThinking: false,
content: "",
};
},
onclose() {
finish();
// processToolMessage, include tool_calls message and tool call results
(
requestPayload: RequestPayload,
toolCallMessage: any,
toolCallResult: any[],
) => {
requestPayload?.input?.messages?.splice(
requestPayload?.input?.messages?.length,
0,
toolCallMessage,
...toolCallResult,
);
},
onerror(e) {
options.onError?.(e);
throw e;
},
openWhenHidden: true,
});
options,
);
} else {
const res = await fetch(chatPath, chatPayload);
clearTimeout(requestTimeoutId);

11
app/client/platforms/baidu.ts
View File

@ -1,10 +1,5 @@
"use client";
import {
ApiPath,
Baidu,
BAIDU_BASE_URL,
REQUEST_TIMEOUT_MS,
} from "@/app/constant";
import { ApiPath, Baidu, BAIDU_BASE_URL } from "@/app/constant";
import { useAccessStore, useAppConfig, useChatStore } from "@/app/store";
import { getAccessToken } from "@/app/utils/baidu";
@ -23,7 +18,7 @@ import {
} from "@fortaine/fetch-event-source";
import { prettyObject } from "@/app/utils/format";
import { getClientConfig } from "@/app/config/client";
import { getMessageTextContent } from "@/app/utils";
import { getMessageTextContent, getTimeoutMSByModel } from "@/app/utils";
import { fetch } from "@/app/utils/stream";
export interface OpenAIListModelResponse {
@ -155,7 +150,7 @@ export class ErnieApi implements LLMApi {
// make a fetch request
const requestTimeoutId = setTimeout(
() => controller.abort(),
REQUEST_TIMEOUT_MS,
getTimeoutMSByModel(options.config.model),
);
if (shouldStream) {

227
app/client/platforms/bytedance.ts
View File

@ -1,11 +1,12 @@
"use client";
import { ApiPath, ByteDance, BYTEDANCE_BASE_URL } from "@/app/constant";
import {
ApiPath,
ByteDance,
BYTEDANCE_BASE_URL,
REQUEST_TIMEOUT_MS,
} from "@/app/constant";
import { useAccessStore, useAppConfig, useChatStore } from "@/app/store";
useAccessStore,
useAppConfig,
useChatStore,
ChatMessageTool,
usePluginStore,
} from "@/app/store";
import {
ChatOptions,
@ -15,14 +16,14 @@ import {
MultimodalContent,
SpeechOptions,
} from "../api";
import Locale from "../../locales";
import {
EventStreamContentType,
fetchEventSource,
} from "@fortaine/fetch-event-source";
import { prettyObject } from "@/app/utils/format";
import { streamWithThink } from "@/app/utils/chat";
import { getClientConfig } from "@/app/config/client";
import { getMessageTextContent } from "@/app/utils";
import { preProcessImageContent } from "@/app/utils/chat";
import {
getMessageTextContentWithoutThinking,
getTimeoutMSByModel,
} from "@/app/utils";
import { fetch } from "@/app/utils/stream";
export interface OpenAIListModelResponse {
@ -34,7 +35,7 @@ export interface OpenAIListModelResponse {
}>;
}
interface RequestPayload {
interface RequestPayloadForByteDance {
messages: {
role: "system" | "user" | "assistant";
content: string | MultimodalContent[];
@ -84,10 +85,14 @@ export class DoubaoApi implements LLMApi {
}
async chat(options: ChatOptions) {
const messages = options.messages.map((v) => ({
role: v.role,
content: getMessageTextContent(v),
}));
const messages: ChatOptions["messages"] = [];
for (const v of options.messages) {
const content =
v.role === "assistant"
? getMessageTextContentWithoutThinking(v)
: await preProcessImageContent(v.content);
messages.push({ role: v.role, content });
}
const modelConfig = {
...useAppConfig.getState().modelConfig,
@ -98,7 +103,7 @@ export class DoubaoApi implements LLMApi {
};
const shouldStream = !!options.config.stream;
const requestPayload: RequestPayload = {
const requestPayload: RequestPayloadForByteDance = {
messages,
stream: shouldStream,
model: modelConfig.model,
@ -123,119 +128,101 @@ export class DoubaoApi implements LLMApi {
// make a fetch request
const requestTimeoutId = setTimeout(
() => controller.abort(),
REQUEST_TIMEOUT_MS,
getTimeoutMSByModel(options.config.model),
);
if (shouldStream) {
let responseText = "";
let remainText = "";
let finished = false;
let responseRes: Response;
const [tools, funcs] = usePluginStore
.getState()
.getAsTools(
useChatStore.getState().currentSession().mask?.plugin || [],
);
return streamWithThink(
chatPath,
requestPayload,
getHeaders(),
tools as any,
funcs,
controller,
// parseSSE
(text: string, runTools: ChatMessageTool[]) => {
// console.log("parseSSE", text, runTools);
const json = JSON.parse(text);
const choices = json.choices as Array<{
delta: {
content: string | null;
tool_calls: ChatMessageTool[];
reasoning_content: string | null;
};
}>;
// animate response to make it looks smooth
function animateResponseText() {
if (finished || controller.signal.aborted) {
responseText += remainText;
console.log("[Response Animation] finished");
if (responseText?.length === 0) {
options.onError?.(new Error("empty response from server"));
}
return;
}
if (remainText.length > 0) {
const fetchCount = Math.max(1, Math.round(remainText.length / 60));
const fetchText = remainText.slice(0, fetchCount);
responseText += fetchText;
remainText = remainText.slice(fetchCount);
options.onUpdate?.(responseText, fetchText);
}
requestAnimationFrame(animateResponseText);
}
// start animaion
animateResponseText();
const finish = () => {
if (!finished) {
finished = true;
options.onFinish(responseText + remainText, responseRes);
}
};
controller.signal.onabort = finish;
fetchEventSource(chatPath, {
fetch: fetch as any,
...chatPayload,
async onopen(res) {
clearTimeout(requestTimeoutId);
const contentType = res.headers.get("content-type");
console.log(
"[ByteDance] request response content type: ",
contentType,
);
responseRes = res;
if (contentType?.startsWith("text/plain")) {
responseText = await res.clone().text();
return finish();
if (!choices?.length) return { isThinking: false, content: "" };
const tool_calls = choices[0]?.delta?.tool_calls;
if (tool_calls?.length > 0) {
const index = tool_calls[0]?.index;
const id = tool_calls[0]?.id;
const args = tool_calls[0]?.function?.arguments;
if (id) {
runTools.push({
id,
type: tool_calls[0]?.type,
function: {
name: tool_calls[0]?.function?.name as string,
arguments: args,
},
});
} else {
// @ts-ignore
runTools[index]["function"]["arguments"] += args;
}
}
const reasoning = choices[0]?.delta?.reasoning_content;
const content = choices[0]?.delta?.content;
// Skip if both content and reasoning_content are empty or null
if (
!res.ok ||
!res.headers
.get("content-type")
?.startsWith(EventStreamContentType) ||
res.status !== 200
(!reasoning || reasoning.length === 0) &&
(!content || content.length === 0)
) {
const responseTexts = [responseText];
let extraInfo = await res.clone().text();
try {
const resJson = await res.clone().json();
extraInfo = prettyObject(resJson);
} catch {}
if (res.status === 401) {
responseTexts.push(Locale.Error.Unauthorized);
}
if (extraInfo) {
responseTexts.push(extraInfo);
}
responseText = responseTexts.join("\n\n");
return finish();
return {
isThinking: false,
content: "",
};
}
},
onmessage(msg) {
if (msg.data === "[DONE]" || finished) {
return finish();
}
const text = msg.data;
try {
const json = JSON.parse(text);
const choices = json.choices as Array<{
delta: { content: string };
}>;
const delta = choices[0]?.delta?.content;
if (delta) {
remainText += delta;
}
} catch (e) {
console.error("[Request] parse error", text, msg);
if (reasoning && reasoning.length > 0) {
return {
isThinking: true,
content: reasoning,
};
} else if (content && content.length > 0) {
return {
isThinking: false,
content: content,
};
}
return {
isThinking: false,
content: "",
};
},
onclose() {
finish();
// processToolMessage, include tool_calls message and tool call results
(
requestPayload: RequestPayloadForByteDance,
toolCallMessage: any,
toolCallResult: any[],
) => {
requestPayload?.messages?.splice(
requestPayload?.messages?.length,
0,
toolCallMessage,
...toolCallResult,
);
},
onerror(e) {
options.onError?.(e);
throw e;
},
openWhenHidden: true,
});
options,
);
} else {
const res = await fetch(chatPath, chatPayload);
clearTimeout(requestTimeoutId);

41
app/client/platforms/deepseek.ts
View File

@ -1,11 +1,6 @@
"use client";
// azure and openai, using same models. so using same LLMApi.
import {
ApiPath,
DEEPSEEK_BASE_URL,
DeepSeek,
REQUEST_TIMEOUT_MS,
} from "@/app/constant";
import { ApiPath, DEEPSEEK_BASE_URL, DeepSeek } from "@/app/constant";
import {
useAccessStore,
useAppConfig,
@ -25,6 +20,7 @@ import { getClientConfig } from "@/app/config/client";
import {
getMessageTextContent,
getMessageTextContentWithoutThinking,
getTimeoutMSByModel,
} from "@/app/utils";
import { RequestPayload } from "./openai";
import { fetch } from "@/app/utils/stream";
@ -79,6 +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,
@ -89,7 +104,7 @@ export class DeepSeekApi implements LLMApi {
};
const requestPayload: RequestPayload = {
messages,
messages: filteredMessages,
stream: options.config.stream,
model: modelConfig.model,
temperature: modelConfig.temperature,
@ -115,12 +130,10 @@ export class DeepSeekApi implements LLMApi {
headers: getHeaders(),
};
// console.log(chatPayload);
// make a fetch request
const requestTimeoutId = setTimeout(
() => controller.abort(),
REQUEST_TIMEOUT_MS,
getTimeoutMSByModel(options.config.model),
);
if (shouldStream) {
@ -171,8 +184,8 @@ export class DeepSeekApi implements LLMApi {
// Skip if both content and reasoning_content are empty or null
if (
(!reasoning || reasoning.trim().length === 0) &&
(!content || content.trim().length === 0)
(!reasoning || reasoning.length === 0) &&
(!content || content.length === 0)
) {
return {
isThinking: false,
@ -180,12 +193,12 @@ export class DeepSeekApi implements LLMApi {
};
}
if (reasoning && reasoning.trim().length > 0) {
if (reasoning && reasoning.length > 0) {
return {
isThinking: true,
content: reasoning,
};
} else if (content && content.trim().length > 0) {
} else if (content && content.length > 0) {
return {
isThinking: false,
content: content,

15
app/client/platforms/glm.ts
View File

@ -1,10 +1,5 @@
"use client";
import {
ApiPath,
CHATGLM_BASE_URL,
ChatGLM,
REQUEST_TIMEOUT_MS,
} from "@/app/constant";
import { ApiPath, CHATGLM_BASE_URL, ChatGLM } from "@/app/constant";
import {
useAccessStore,
useAppConfig,
@ -21,7 +16,11 @@ import {
SpeechOptions,
} from "../api";
import { getClientConfig } from "@/app/config/client";
import { getMessageTextContent, isVisionModel } from "@/app/utils";
import {
getMessageTextContent,
isVisionModel,
getTimeoutMSByModel,
} from "@/app/utils";
import { RequestPayload } from "./openai";
import { fetch } from "@/app/utils/stream";
import { preProcessImageContent } from "@/app/utils/chat";
@ -191,7 +190,7 @@ export class ChatGLMApi implements LLMApi {
const requestTimeoutId = setTimeout(
() => controller.abort(),
REQUEST_TIMEOUT_MS,
getTimeoutMSByModel(options.config.model),
);
if (modelType === "image" || modelType === "video") {

15
app/client/platforms/google.ts
View File

@ -1,4 +1,4 @@
import { ApiPath, Google, REQUEST_TIMEOUT_MS } from "@/app/constant";
import { ApiPath, Google } from "@/app/constant";
import {
ChatOptions,
getHeaders,
@ -22,6 +22,7 @@ import {
getMessageTextContent,
getMessageImages,
isVisionModel,
getTimeoutMSByModel,
} from "@/app/utils";
import { preProcessImageContent } from "@/app/utils/chat";
import { nanoid } from "nanoid";
@ -69,9 +70,16 @@ export class GeminiProApi implements LLMApi {
.join("\n\n");
};
let content = "";
if (Array.isArray(res)) {
res.map((item) => {
content += getTextFromParts(item?.candidates?.at(0)?.content?.parts);
});
}
return (
getTextFromParts(res?.candidates?.at(0)?.content?.parts) ||
getTextFromParts(res?.at(0)?.candidates?.at(0)?.content?.parts) ||
content || //getTextFromParts(res?.at(0)?.candidates?.at(0)?.content?.parts) ||
res?.error?.message ||
""
);
@ -190,10 +198,11 @@ export class GeminiProApi implements LLMApi {
headers: getHeaders(),
};
const isThinking = options.config.model.includes("-thinking");
// make a fetch request
const requestTimeoutId = setTimeout(
() => controller.abort(),
REQUEST_TIMEOUT_MS,
getTimeoutMSByModel(options.config.model),
);
if (shouldStream) {

47
app/client/platforms/openai.ts
View File

@ -21,7 +21,7 @@ import {
preProcessImageContent,
uploadImage,
base64Image2Blob,
stream,
streamWithThink,
} from "@/app/utils/chat";
import { cloudflareAIGatewayUrl } from "@/app/utils/cloudflare";
import { ModelSize, DalleQuality, DalleStyle } from "@/app/typing";
@ -41,6 +41,7 @@ import {
getMessageTextContent,
isVisionModel,
isDalle3 as _isDalle3,
getTimeoutMSByModel,
} from "@/app/utils";
import { fetch } from "@/app/utils/stream";
@ -195,7 +196,9 @@ export class ChatGPTApi implements LLMApi {
let requestPayload: RequestPayload | DalleRequestPayload;
const isDalle3 = _isDalle3(options.config.model);
const isO1OrO3 = options.config.model.startsWith("o1") || options.config.model.startsWith("o3");
const isO1OrO3 =
options.config.model.startsWith("o1") ||
options.config.model.startsWith("o3");
if (isDalle3) {
const prompt = getMessageTextContent(
options.messages.slice(-1)?.pop() as any,
@ -291,7 +294,7 @@ export class ChatGPTApi implements LLMApi {
useChatStore.getState().currentSession().mask?.plugin || [],
);
// console.log("getAsTools", tools, funcs);
stream(
streamWithThink(
chatPath,
requestPayload,
getHeaders(),
@ -306,8 +309,12 @@ export class ChatGPTApi implements LLMApi {
delta: {
content: string;
tool_calls: ChatMessageTool[];
reasoning_content: string | null;
};
}>;
if (!choices?.length) return { isThinking: false, content: "" };
const tool_calls = choices[0]?.delta?.tool_calls;
if (tool_calls?.length > 0) {
const id = tool_calls[0]?.id;
@ -327,7 +334,37 @@ export class ChatGPTApi implements LLMApi {
runTools[index]["function"]["arguments"] += args;
}
}
return choices[0]?.delta?.content;
const reasoning = choices[0]?.delta?.reasoning_content;
const content = choices[0]?.delta?.content;
// Skip if both content and reasoning_content are empty or null
if (
(!reasoning || reasoning.length === 0) &&
(!content || content.length === 0)
) {
return {
isThinking: false,
content: "",
};
}
if (reasoning && reasoning.length > 0) {
return {
isThinking: true,
content: reasoning,
};
} else if (content && content.length > 0) {
return {
isThinking: false,
content: content,
};
}
return {
isThinking: false,
content: "",
};
},
// processToolMessage, include tool_calls message and tool call results
(
@ -359,7 +396,7 @@ export class ChatGPTApi implements LLMApi {
// make a fetch request
const requestTimeoutId = setTimeout(
() => controller.abort(),
isDalle3 || isO1OrO3 ? REQUEST_TIMEOUT_MS * 4 : REQUEST_TIMEOUT_MS, // dalle3 using b64_json is slow.
getTimeoutMSByModel(options.config.model),
);
const res = await fetch(chatPath, chatPayload);

287
app/client/platforms/siliconflow.ts Normal file
View File

@ -0,0 +1,287 @@
"use client";
// azure and openai, using same models. so using same LLMApi.
import {
ApiPath,
SILICONFLOW_BASE_URL,
SiliconFlow,
DEFAULT_MODELS,
} from "@/app/constant";
import {
useAccessStore,
useAppConfig,
useChatStore,
ChatMessageTool,
usePluginStore,
} from "@/app/store";
import { preProcessImageContent, streamWithThink } from "@/app/utils/chat";
import {
ChatOptions,
getHeaders,
LLMApi,
LLMModel,
SpeechOptions,
} from "../api";
import { getClientConfig } from "@/app/config/client";
import {
getMessageTextContent,
getMessageTextContentWithoutThinking,
isVisionModel,
getTimeoutMSByModel,
} from "@/app/utils";
import { RequestPayload } from "./openai";
import { fetch } from "@/app/utils/stream";
export interface SiliconFlowListModelResponse {
object: string;
data: Array<{
id: string;
object: string;
root: string;
}>;
}
export class SiliconflowApi implements LLMApi {
private disableListModels = false;
path(path: string): string {
const accessStore = useAccessStore.getState();
let baseUrl = "";
if (accessStore.useCustomConfig) {
baseUrl = accessStore.siliconflowUrl;
}
if (baseUrl.length === 0) {
const isApp = !!getClientConfig()?.isApp;
const apiPath = ApiPath.SiliconFlow;
baseUrl = isApp ? SILICONFLOW_BASE_URL : apiPath;
}
if (baseUrl.endsWith("/")) {
baseUrl = baseUrl.slice(0, baseUrl.length - 1);
}
if (
!baseUrl.startsWith("http") &&
!baseUrl.startsWith(ApiPath.SiliconFlow)
) {
baseUrl = "https://" + baseUrl;
}
console.log("[Proxy Endpoint] ", baseUrl, path);
return [baseUrl, path].join("/");
}
extractMessage(res: any) {
return res.choices?.at(0)?.message?.content ?? "";
}
speech(options: SpeechOptions): Promise<ArrayBuffer> {
throw new Error("Method not implemented.");
}
async chat(options: ChatOptions) {
const visionModel = isVisionModel(options.config.model);
const messages: ChatOptions["messages"] = [];
for (const v of options.messages) {
if (v.role === "assistant") {
const content = getMessageTextContentWithoutThinking(v);
messages.push({ role: v.role, content });
} else {
const content = visionModel
? await preProcessImageContent(v.content)
: getMessageTextContent(v);
messages.push({ role: v.role, content });
}
}
const modelConfig = {
...useAppConfig.getState().modelConfig,
...useChatStore.getState().currentSession().mask.modelConfig,
...{
model: options.config.model,
providerName: options.config.providerName,
},
};
const requestPayload: RequestPayload = {
messages,
stream: options.config.stream,
model: modelConfig.model,
temperature: modelConfig.temperature,
presence_penalty: modelConfig.presence_penalty,
frequency_penalty: modelConfig.frequency_penalty,
top_p: modelConfig.top_p,
// max_tokens: Math.max(modelConfig.max_tokens, 1024),
// Please do not ask me why not send max_tokens, no reason, this param is just shit, I dont want to explain anymore.
};
console.log("[Request] openai payload: ", requestPayload);
const shouldStream = !!options.config.stream;
const controller = new AbortController();
options.onController?.(controller);
try {
const chatPath = this.path(SiliconFlow.ChatPath);
const chatPayload = {
method: "POST",
body: JSON.stringify(requestPayload),
signal: controller.signal,
headers: getHeaders(),
};
// console.log(chatPayload);
// Use extended timeout for thinking models as they typically require more processing time
const requestTimeoutId = setTimeout(
() => controller.abort(),
getTimeoutMSByModel(options.config.model),
);
if (shouldStream) {
const [tools, funcs] = usePluginStore
.getState()
.getAsTools(
useChatStore.getState().currentSession().mask?.plugin || [],
);
return streamWithThink(
chatPath,
requestPayload,
getHeaders(),
tools as any,
funcs,
controller,
// parseSSE
(text: string, runTools: ChatMessageTool[]) => {
// console.log("parseSSE", text, runTools);
const json = JSON.parse(text);
const choices = json.choices as Array<{
delta: {
content: string | null;
tool_calls: ChatMessageTool[];
reasoning_content: string | null;
};
}>;
const tool_calls = choices[0]?.delta?.tool_calls;
if (tool_calls?.length > 0) {
const index = tool_calls[0]?.index;
const id = tool_calls[0]?.id;
const args = tool_calls[0]?.function?.arguments;
if (id) {
runTools.push({
id,
type: tool_calls[0]?.type,
function: {
name: tool_calls[0]?.function?.name as string,
arguments: args,
},
});
} else {
// @ts-ignore
runTools[index]["function"]["arguments"] += args;
}
}
const reasoning = choices[0]?.delta?.reasoning_content;
const content = choices[0]?.delta?.content;
// Skip if both content and reasoning_content are empty or null
if (
(!reasoning || reasoning.length === 0) &&
(!content || content.length === 0)
) {
return {
isThinking: false,
content: "",
};
}
if (reasoning && reasoning.length > 0) {
return {
isThinking: true,
content: reasoning,
};
} else if (content && content.length > 0) {
return {
isThinking: false,
content: content,
};
}
return {
isThinking: false,
content: "",
};
},
// processToolMessage, include tool_calls message and tool call results
(
requestPayload: RequestPayload,
toolCallMessage: any,
toolCallResult: any[],
) => {
// @ts-ignore
requestPayload?.messages?.splice(
// @ts-ignore
requestPayload?.messages?.length,
0,
toolCallMessage,
...toolCallResult,
);
},
options,
);
} else {
const res = await fetch(chatPath, chatPayload);
clearTimeout(requestTimeoutId);
const resJson = await res.json();
const message = this.extractMessage(resJson);
options.onFinish(message, res);
}
} catch (e) {
console.log("[Request] failed to make a chat request", e);
options.onError?.(e as Error);
}
}
async usage() {
return {
used: 0,
total: 0,
};
}
async models(): Promise<LLMModel[]> {
if (this.disableListModels) {
return DEFAULT_MODELS.slice();
}
const res = await fetch(this.path(SiliconFlow.ListModelPath), {
method: "GET",
headers: {
...getHeaders(),
},
});
const resJson = (await res.json()) as SiliconFlowListModelResponse;
const chatModels = resJson.data;
console.log("[Models]", chatModels);
if (!chatModels) {
return [];
}
let seq = 1000; //同 Constant.ts 中的排序保持一致
return chatModels.map((m) => ({
name: m.id,
available: true,
sorted: seq++,
provider: {
id: "siliconflow",
providerName: "SiliconFlow",
providerType: "siliconflow",
sorted: 14,
},
}));
}
}

10
app/client/platforms/tencent.ts
View File

@ -1,5 +1,5 @@
"use client";
import { ApiPath, TENCENT_BASE_URL, REQUEST_TIMEOUT_MS } from "@/app/constant";
import { ApiPath, TENCENT_BASE_URL } from "@/app/constant";
import { useAccessStore, useAppConfig, useChatStore } from "@/app/store";
import {
@ -17,7 +17,11 @@ import {
} from "@fortaine/fetch-event-source";
import { prettyObject } from "@/app/utils/format";
import { getClientConfig } from "@/app/config/client";
import { getMessageTextContent, isVisionModel } from "@/app/utils";
import {
getMessageTextContent,
isVisionModel,
getTimeoutMSByModel,
} from "@/app/utils";
import mapKeys from "lodash-es/mapKeys";
import mapValues from "lodash-es/mapValues";
import isArray from "lodash-es/isArray";
@ -135,7 +139,7 @@ export class HunyuanApi implements LLMApi {
// make a fetch request
const requestTimeoutId = setTimeout(
() => controller.abort(),
REQUEST_TIMEOUT_MS,
getTimeoutMSByModel(options.config.model),
);
if (shouldStream) {

9
app/client/platforms/xai.ts
View File

@ -1,6 +1,6 @@
"use client";
// azure and openai, using same models. so using same LLMApi.
import { ApiPath, XAI_BASE_URL, XAI, REQUEST_TIMEOUT_MS } from "@/app/constant";
import { ApiPath, XAI_BASE_URL, XAI } from "@/app/constant";
import {
useAccessStore,
useAppConfig,
@ -17,7 +17,8 @@ import {
SpeechOptions,
} from "../api";
import { getClientConfig } from "@/app/config/client";
import { getMessageTextContent } from "@/app/utils";
import { getTimeoutMSByModel } from "@/app/utils";
import { preProcessImageContent } from "@/app/utils/chat";
import { RequestPayload } from "./openai";
import { fetch } from "@/app/utils/stream";
@ -62,7 +63,7 @@ export class XAIApi implements LLMApi {
async chat(options: ChatOptions) {
const messages: ChatOptions["messages"] = [];
for (const v of options.messages) {
const content = getMessageTextContent(v);
const content = await preProcessImageContent(v.content);
messages.push({ role: v.role, content });
}
@ -103,7 +104,7 @@ export class XAIApi implements LLMApi {
// make a fetch request
const requestTimeoutId = setTimeout(
() => controller.abort(),
REQUEST_TIMEOUT_MS,
getTimeoutMSByModel(options.config.model),
);
if (shouldStream) {

71
app/components/emoji.tsx
View File

@ -6,8 +6,21 @@ import EmojiPicker, {
import { ModelType } from "../store";
import BotIcon from "../icons/bot.svg";
import BlackBotIcon from "../icons/black-bot.svg";
import BotIconDefault from "../icons/llm-icons/default.svg";
import BotIconOpenAI from "../icons/llm-icons/openai.svg";
import BotIconGemini from "../icons/llm-icons/gemini.svg";
import BotIconGemma from "../icons/llm-icons/gemma.svg";
import BotIconClaude from "../icons/llm-icons/claude.svg";
import BotIconMeta from "../icons/llm-icons/meta.svg";
import BotIconMistral from "../icons/llm-icons/mistral.svg";
import BotIconDeepseek from "../icons/llm-icons/deepseek.svg";
import BotIconMoonshot from "../icons/llm-icons/moonshot.svg";
import BotIconQwen from "../icons/llm-icons/qwen.svg";
import BotIconWenxin from "../icons/llm-icons/wenxin.svg";
import BotIconGrok from "../icons/llm-icons/grok.svg";
import BotIconHunyuan from "../icons/llm-icons/hunyuan.svg";
import BotIconDoubao from "../icons/llm-icons/doubao.svg";
import BotIconChatglm from "../icons/llm-icons/chatglm.svg";
export function getEmojiUrl(unified: string, style: EmojiStyle) {
// Whoever owns this Content Delivery Network (CDN), I am using your CDN to serve emojis
@ -33,17 +46,55 @@ export function AvatarPicker(props: {
}
export function Avatar(props: { model?: ModelType; avatar?: string }) {
let LlmIcon = BotIconDefault;
if (props.model) {
const modelName = props.model.toLowerCase();
if (
modelName.startsWith("gpt") ||
modelName.startsWith("chatgpt") ||
modelName.startsWith("dall-e") ||
modelName.startsWith("dalle") ||
modelName.startsWith("o1") ||
modelName.startsWith("o3")
) {
LlmIcon = BotIconOpenAI;
} else if (modelName.startsWith("gemini")) {
LlmIcon = BotIconGemini;
} else if (modelName.startsWith("gemma")) {
LlmIcon = BotIconGemma;
} else if (modelName.startsWith("claude")) {
LlmIcon = BotIconClaude;
} else if (modelName.includes("llama")) {
LlmIcon = BotIconMeta;
} else if (modelName.startsWith("mixtral") || modelName.startsWith("codestral")) {
LlmIcon = BotIconMistral;
} else if (modelName.includes("deepseek")) {
LlmIcon = BotIconDeepseek;
} else if (modelName.startsWith("moonshot")) {
LlmIcon = BotIconMoonshot;
} else if (modelName.startsWith("qwen")) {
LlmIcon = BotIconQwen;
} else if (modelName.startsWith("ernie")) {
LlmIcon = BotIconWenxin;
} else if (modelName.startsWith("grok")) {
LlmIcon = BotIconGrok;
} else if (modelName.startsWith("hunyuan")) {
LlmIcon = BotIconHunyuan;
} else if (modelName.startsWith("doubao") || modelName.startsWith("ep-")) {
LlmIcon = BotIconDoubao;
} else if (
modelName.includes("glm") ||
modelName.startsWith("cogview-") ||
modelName.startsWith("cogvideox-")
) {
LlmIcon = BotIconChatglm;
}
return (
<div className="no-dark">
{props.model?.startsWith("gpt-4") ||
props.model?.startsWith("chatgpt-4o") ||
props.model?.startsWith("o1") ||
props.model?.startsWith("o3") ? (
<BlackBotIcon className="user-avatar" />
) : (
<BotIcon className="user-avatar" />
)}
<LlmIcon className="user-avatar" width={30} height={30} />
</div>
);
}

37
app/components/exporter.tsx
View File

@ -23,7 +23,6 @@ import CopyIcon from "../icons/copy.svg";
import LoadingIcon from "../icons/three-dots.svg";
import ChatGptIcon from "../icons/chatgpt.png";
import ShareIcon from "../icons/share.svg";
import BotIcon from "../icons/bot.png";
import DownloadIcon from "../icons/download.svg";
import { useEffect, useMemo, useRef, useState } from "react";
@ -33,13 +32,13 @@ import dynamic from "next/dynamic";
import NextImage from "next/image";
import { toBlob, toPng } from "html-to-image";
import { DEFAULT_MASK_AVATAR } from "../store/mask";
import { prettyObject } from "../utils/format";
import { EXPORT_MESSAGE_CLASS_NAME } from "../constant";
import { getClientConfig } from "../config/client";
import { type ClientApi, getClientApi } from "../client/api";
import { getMessageTextContent } from "../utils";
import { MaskAvatar } from "./mask";
import clsx from "clsx";
const Markdown = dynamic(async () => (await import("./markdown")).Markdown, {
@ -407,22 +406,6 @@ export function PreviewActions(props: {
);
}
function ExportAvatar(props: { avatar: string }) {
if (props.avatar === DEFAULT_MASK_AVATAR) {
return (
<img
src={BotIcon.src}
width={30}
height={30}
alt="bot"
className="user-avatar"
/>
);
}
return <Avatar avatar={props.avatar} />;
}
export function ImagePreviewer(props: {
messages: ChatMessage[];
topic: string;
@ -546,9 +529,12 @@ export function ImagePreviewer(props: {
github.com/ChatGPTNextWeb/ChatGPT-Next-Web
</div>
<div className={styles["icons"]}>
<ExportAvatar avatar={config.avatar} />
<MaskAvatar avatar={config.avatar} />
<span className={styles["icon-space"]}>&</span>
<ExportAvatar avatar={mask.avatar} />
<MaskAvatar
avatar={mask.avatar}
model={session.mask.modelConfig.model}
/>
</div>
</div>
<div>
@ -576,9 +562,14 @@ export function ImagePreviewer(props: {
key={i}
>
<div className={styles["avatar"]}>
<ExportAvatar
avatar={m.role === "user" ? config.avatar : mask.avatar}
/>
{m.role === "user" ? (
<Avatar avatar={config.avatar}></Avatar>
) : (
<MaskAvatar
avatar={session.mask.avatar}
model={m.model || session.mask.modelConfig.model}
/>
)}
</div>
<div className={styles["body"]}>

42
app/components/settings.tsx
View File

@ -74,6 +74,7 @@ import {
SAAS_CHAT_URL,
ChatGLM,
DeepSeek,
SiliconFlow,
} from "../constant";
import { Prompt, SearchService, usePromptStore } from "../store/prompt";
import { ErrorBoundary } from "./error";
@ -1318,6 +1319,46 @@ export function Settings() {
</ListItem>
</>
);
const siliconflowConfigComponent = accessStore.provider ===
ServiceProvider.SiliconFlow && (
<>
<ListItem
title={Locale.Settings.Access.SiliconFlow.Endpoint.Title}
subTitle={
Locale.Settings.Access.SiliconFlow.Endpoint.SubTitle +
SiliconFlow.ExampleEndpoint
}
>
<input
aria-label={Locale.Settings.Access.SiliconFlow.Endpoint.Title}
type="text"
value={accessStore.siliconflowUrl}
placeholder={SiliconFlow.ExampleEndpoint}
onChange={(e) =>
accessStore.update(
(access) => (access.siliconflowUrl = e.currentTarget.value),
)
}
></input>
</ListItem>
<ListItem
title={Locale.Settings.Access.SiliconFlow.ApiKey.Title}
subTitle={Locale.Settings.Access.SiliconFlow.ApiKey.SubTitle}
>
<PasswordInput
aria-label={Locale.Settings.Access.SiliconFlow.ApiKey.Title}
value={accessStore.siliconflowApiKey}
type="text"
placeholder={Locale.Settings.Access.SiliconFlow.ApiKey.Placeholder}
onChange={(e) => {
accessStore.update(
(access) => (access.siliconflowApiKey = e.currentTarget.value),
);
}}
/>
</ListItem>
</>
);
const stabilityConfigComponent = accessStore.provider ===
ServiceProvider.Stability && (
@ -1780,6 +1821,7 @@ export function Settings() {
{lflytekConfigComponent}
{XAIConfigComponent}
{chatglmConfigComponent}
{siliconflowConfigComponent}
</>
)}
</>

2
app/components/ui-lib.tsx
View File

@ -23,6 +23,7 @@ import React, {
useRef,
} from "react";
import { IconButton } from "./button";
import { Avatar } from "./emoji";
import clsx from "clsx";
export function Popover(props: {
@ -522,6 +523,7 @@ export function Selector<T>(props: {
key={i}
title={item.title}
subTitle={item.subTitle}
icon={<Avatar model={item.value as string} />}
onClick={(e) => {
if (item.disable) {
e.stopPropagation();

9
app/config/server.ts
View File

@ -85,6 +85,10 @@ declare global {
CHATGLM_URL?: string;
CHATGLM_API_KEY?: string;
// siliconflow only
SILICONFLOW_URL?: string;
SILICONFLOW_API_KEY?: string;
// custom template for preprocessing user input
DEFAULT_INPUT_TEMPLATE?: string;
@ -163,6 +167,7 @@ export const getServerSideConfig = () => {
const isDeepSeek = !!process.env.DEEPSEEK_API_KEY;
const isXAI = !!process.env.XAI_API_KEY;
const isChatGLM = !!process.env.CHATGLM_API_KEY;
const isSiliconFlow = !!process.env.SILICONFLOW_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);
@ -242,6 +247,10 @@ export const getServerSideConfig = () => {
cloudflareKVApiKey: getApiKey(process.env.CLOUDFLARE_KV_API_KEY),
cloudflareKVTTL: process.env.CLOUDFLARE_KV_TTL,
isSiliconFlow,
siliconFlowUrl: process.env.SILICONFLOW_URL,
siliconFlowApiKey: getApiKey(process.env.SILICONFLOW_API_KEY),
gtmId: process.env.GTM_ID,
gaId: process.env.GA_ID || DEFAULT_GA_ID,

74
app/constant.ts
View File

@ -34,6 +34,8 @@ export const XAI_BASE_URL = "https://api.x.ai";
export const CHATGLM_BASE_URL = "https://open.bigmodel.cn";
export const SILICONFLOW_BASE_URL = "https://api.siliconflow.cn";
export const CACHE_URL_PREFIX = "/api/cache";
export const UPLOAD_URL = `${CACHE_URL_PREFIX}/upload`;
@ -69,6 +71,7 @@ export enum ApiPath {
XAI = "/api/xai",
ChatGLM = "/api/chatglm",
DeepSeek = "/api/deepseek",
SiliconFlow = "/api/siliconflow",
}
export enum SlotID {
@ -107,6 +110,7 @@ export const UNFINISHED_INPUT = (id: string) => "unfinished-input-" + id;
export const STORAGE_KEY = "chatgpt-next-web";
export const REQUEST_TIMEOUT_MS = 60000;
export const REQUEST_TIMEOUT_MS_FOR_THINKING = REQUEST_TIMEOUT_MS * 5;
export const EXPORT_MESSAGE_CLASS_NAME = "export-markdown";
@ -125,6 +129,7 @@ export enum ServiceProvider {
XAI = "XAI",
ChatGLM = "ChatGLM",
DeepSeek = "DeepSeek",
SiliconFlow = "SiliconFlow",
}
// Google API safety settings, see https://ai.google.dev/gemini-api/docs/safety-settings
@ -150,6 +155,7 @@ export enum ModelProvider {
XAI = "XAI",
ChatGLM = "ChatGLM",
DeepSeek = "DeepSeek",
SiliconFlow = "SiliconFlow",
}
export const Stability = {
@ -215,7 +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 = {
@ -249,6 +260,12 @@ export const ChatGLM = {
VideoPath: "api/paas/v4/videos/generations",
};
export const SiliconFlow = {
ExampleEndpoint: SILICONFLOW_BASE_URL,
ChatPath: "v1/chat/completions",
ListModelPath: "v1/models?&sub_type=chat",
};
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}}.
@ -413,7 +430,7 @@ export const KnowledgeCutOffDate: Record<string, string> = {
"o1-preview-2024-09-12": "2023-10",
"o1-preview": "2023-10",
"o1-2024-12-17": "2023-10",
"o1": "2023-10",
o1: "2023-10",
"o3-mini-2025-01-31": "2023-10",
"o3-mini": "2023-10",
// After improvements,
@ -451,6 +468,7 @@ export const VISION_MODEL_REGEXES = [
/gpt-4-turbo(?!.*preview)/, // Matches "gpt-4-turbo" but not "gpt-4-turbo-preview"
/^dall-e-3$/, // Matches exactly "dall-e-3"
/glm-4v/,
/vl/i,
];
export const EXCLUDE_VISION_MODEL_REGEXES = [/claude-3-5-haiku-20241022/];
@ -499,10 +517,14 @@ const googleModels = [
"gemini-exp-1114",
"gemini-exp-1121",
"gemini-exp-1206",
"gemini-2.0-flash",
"gemini-2.0-flash-exp",
"gemini-2.0-flash-lite-preview-02-05",
"gemini-2.0-flash-thinking-exp",
"gemini-2.0-flash-thinking-exp-1219",
"gemini-2.0-flash-thinking-exp-01-21",
"gemini-2.0-pro-exp",
"gemini-2.0-pro-exp-02-05",
];
const anthropicModels = [
@ -518,6 +540,8 @@ 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 = [
@ -551,6 +575,9 @@ const alibabaModes = [
"qwen-max-0403",
"qwen-max-0107",
"qwen-max-longcontext",
"qwen-omni-turbo",
"qwen-vl-plus",
"qwen-vl-max",
];
const tencentModels = [
@ -575,7 +602,16 @@ const iflytekModels = [
const deepseekModels = ["deepseek-chat", "deepseek-coder", "deepseek-reasoner"];
const xAIModes = ["grok-beta"];
const xAIModes = [
"grok-beta",
"grok-2",
"grok-2-1212",
"grok-2-latest",
"grok-vision-beta",
"grok-2-vision-1212",
"grok-2-vision",
"grok-2-vision-latest",
];
const chatglmModels = [
"glm-4-plus",
@ -597,6 +633,23 @@ const chatglmModels = [
// "cogvideox-flash", // free
];
const siliconflowModels = [
"Qwen/Qwen2.5-7B-Instruct",
"Qwen/Qwen2.5-72B-Instruct",
"deepseek-ai/DeepSeek-R1",
"deepseek-ai/DeepSeek-R1-Distill-Llama-70B",
"deepseek-ai/DeepSeek-R1-Distill-Llama-8B",
"deepseek-ai/DeepSeek-R1-Distill-Qwen-1.5B",
"deepseek-ai/DeepSeek-R1-Distill-Qwen-14B",
"deepseek-ai/DeepSeek-R1-Distill-Qwen-32B",
"deepseek-ai/DeepSeek-R1-Distill-Qwen-7B",
"deepseek-ai/DeepSeek-V3",
"meta-llama/Llama-3.3-70B-Instruct",
"THUDM/glm-4-9b-chat",
"Pro/deepseek-ai/DeepSeek-R1",
"Pro/deepseek-ai/DeepSeek-V3",
];
let seq = 1000; // 内置的模型序号生成器从1000开始
export const DEFAULT_MODELS = [
...openaiModels.map((name) => ({
@ -742,6 +795,17 @@ export const DEFAULT_MODELS = [
sorted: 13,
},
})),
...siliconflowModels.map((name) => ({
name,
available: true,
sorted: seq++,
provider: {
id: "siliconflow",
providerName: "SiliconFlow",
providerType: "siliconflow",
sorted: 14,
},
})),
] as const;
export const CHAT_PAGE_SIZE = 15;
@ -762,5 +826,5 @@ export const internalAllowedWebDavEndpoints = [
export const DEFAULT_GA_ID = "G-89WN60ZK2E";
export const SAAS_CHAT_URL = "https://nextchat.dev/chat";
export const SAAS_CHAT_UTM_URL = "https://nextchat.dev/chat?utm=github";
export const SAAS_CHAT_URL = "https://nextchat.club";
export const SAAS_CHAT_UTM_URL = "https://nextchat.club?utm=github";

14
app/icons/llm-icons/chatglm.svg Normal file
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@ -0,0 +1,14 @@
<svg height="1em" style="flex:none;line-height:1" viewBox="0 0 30 30" width="1em" xmlns="http://www.w3.org/2000/svg">
<title>ChatGLM</title>
<rect width="30" height="30" fill="#E7F8FF" rx="6"/>
<g transform="translate(3, 3)">
<defs>
<linearGradient id="lobe-icons-chatglm-fill" x1="-18.756%" x2="70.894%" y1="49.371%" y2="90.944%">
<stop offset="0%" stop-color="#504AF4"></stop>
<stop offset="100%" stop-color="#3485FF"></stop>
</linearGradient>
</defs>
<path d="M9.917 2c4.906 0 10.178 3.947 8.93 10.58-.014.07-.037.14-.057.21l-.003-.277c-.083-3-1.534-8.934-8.87-8.934-3.393 0-8.137 3.054-7.93 8.158-.04 4.778 3.555 8.4 7.95 8.332l.073-.001c1.2-.033 2.763-.429 3.1-1.657.063-.031.26.534.268.598.048.256.112.369.192.34.981-.348 2.286-1.222 1.952-2.38-.176-.61-1.775-.147-1.921-.347.418-.979 2.234-.926 3.153-.716.443.102.657.38 1.012.442.29.052.981-.2.96.242-1.5 3.042-4.893 5.41-8.808 5.41C3.654 22 0 16.574 0 11.737 0 5.947 4.959 2 9.917 2zM9.9 5.3c.484 0 1.125.225 1.38.585 3.669.145 4.313 2.686 4.694 5.444.255 1.838.315 2.3.182 1.387l.083.59c.068.448.554.737.982.516.144-.075.254-.231.328-.47a.2.2 0 01.258-.13l.625.22a.2.2 0 01.124.238 2.172 2.172 0 01-.51.92c-.878.917-2.757.664-3.08-.62-.14-.554-.055-.626-.345-1.242-.292-.621-1.238-.709-1.69-.295-.345.315-.407.805-.406 1.282L12.6 15.9a.9.9 0 01-.9.9h-1.4a.9.9 0 01-.9-.9v-.65a1.15 1.15 0 10-2.3 0v.65a.9.9 0 01-.9.9H4.8a.9.9 0 01-.9-.9l.035-3.239c.012-1.884.356-3.658 2.47-4.134.2-.045.252.13.29.342.025.154.043.252.053.294.701 3.058 1.75 4.299 3.144 3.722l.66-.331.254-.13c.158-.082.25-.131.276-.15.012-.01-.165-.206-.407-.464l-1.012-1.067a8.925 8.925 0 01-.199-.216c-.047-.034-.116.068-.208.306-.074.157-.251.252-.272.326-.013.058.108.298.362.72.164.288.22.508-.31.343-1.04-.8-1.518-2.273-1.684-3.725-.004-.035-.162-1.913-.162-1.913a1.2 1.2 0 011.113-1.281L9.9 5.3zm12.994 8.68c.037.697-.403.704-1.213.591l-1.783-.276c-.265-.053-.385-.099-.313-.147.47-.315 3.268-.93 3.31-.168zm-.915-.083l-.926.042c-.85.077-1.452.24.338.336l.103.003c.815.012 1.264-.359.485-.381zm1.667-3.601h.01c.79.398.067 1.03-.65 1.393-.14.07-.491.176-1.052.315-.241.04-.457.092-.333.16l.01.005c1.952.958-3.123 1.534-2.495 1.285l.38-.148c.68-.266 1.614-.682 1.666-1.337.038-.48 1.253-.442 1.493-.968.048-.106 0-.236-.144-.389-.05-.047-.094-.094-.107-.148-.073-.305.7-.431 1.222-.168zm-2.568-.474c-.135 1.198-2.479 4.192-1.949 2.863l.017-.042c.298-.717.376-2.221 1.337-3.221.25-.26.636.035.595.4zm-7.976-.253c.02-.694 1.002-.968 1.346-.347.01-1.274-1.941-.768-1.346.347z"
fill="url(#lobe-icons-chatglm-fill)" fill-rule="evenodd"></path>
</g>
</svg>
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8
app/icons/llm-icons/claude.svg Normal file
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@ -0,0 +1,8 @@
<svg height="1em" style="flex:none;line-height:1" viewBox="0 0 30 30" width="1em" xmlns="http://www.w3.org/2000/svg">
<title>Claude</title>
<rect width="30" height="30" fill="#E7F8FF" rx="6"/>
<g transform="translate(3, 3)">
<path d="M4.709 15.955l4.72-2.647.08-.23-.08-.128H9.2l-.79-.048-2.698-.073-2.339-.097-2.266-.122-.571-.121L0 11.784l.055-.352.48-.321.686.06 1.52.103 2.278.158 1.652.097 2.449.255h.389l.055-.157-.134-.098-.103-.097-2.358-1.596-2.552-1.688-1.336-.972-.724-.491-.364-.462-.158-1.008.656-.722.881.06.225.061.893.686 1.908 1.476 2.491 1.833.365.304.145-.103.019-.073-.164-.274-1.355-2.446-1.446-2.49-.644-1.032-.17-.619a2.97 2.97 0 01-.104-.729L6.283.134 6.696 0l.996.134.42.364.62 1.414 1.002 2.229 1.555 3.03.456.898.243.832.091.255h.158V9.01l.128-1.706.237-2.095.23-2.695.08-.76.376-.91.747-.492.584.28.48.685-.067.444-.286 1.851-.559 2.903-.364 1.942h.212l.243-.242.985-1.306 1.652-2.064.73-.82.85-.904.547-.431h1.033l.76 1.129-.34 1.166-1.064 1.347-.881 1.142-1.264 1.7-.79 1.36.073.11.188-.02 2.856-.606 1.543-.28 1.841-.315.833.388.091.395-.328.807-1.969.486-2.309.462-3.439.813-.042.03.049.061 1.549.146.662.036h1.622l3.02.225.79.522.474.638-.079.485-1.215.62-1.64-.389-3.829-.91-1.312-.329h-.182v.11l1.093 1.068 2.006 1.81 2.509 2.33.127.578-.322.455-.34-.049-2.205-1.657-.851-.747-1.926-1.62h-.128v.17l.444.649 2.345 3.521.122 1.08-.17.353-.608.213-.668-.122-1.374-1.925-1.415-2.167-1.143-1.943-.14.08-.674 7.254-.316.37-.729.28-.607-.461-.322-.747.322-1.476.389-1.924.315-1.53.286-1.9.17-.632-.012-.042-.14.018-1.434 1.967-2.18 2.945-1.726 1.845-.414.164-.717-.37.067-.662.401-.589 2.388-3.036 1.44-1.882.93-1.086-.006-.158h-.055L4.132 18.56l-1.13.146-.487-.456.061-.746.231-.243 1.908-1.312-.006.006z"
fill="#D97757" fill-rule="nonzero"></path>
</g>
</svg>
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app/icons/llm-icons/deepseek.svg Normal file
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@ -0,0 +1,8 @@
<svg height="1em" style="flex:none;line-height:1" viewBox="0 0 30 30" width="1em" xmlns="http://www.w3.org/2000/svg">
<title>DeepSeek</title>
<rect width="30" height="30" fill="#E7F8FF" rx="6"/>
<g transform="translate(4, 4)">
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<svg height="1em" style="flex:none;line-height:1" viewBox="0 0 30 30" width="1em" xmlns="http://www.w3.org/2000/svg">
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11
app/locales/cn.ts
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@ -496,6 +496,17 @@ const cn = {
SubTitle: "样例：",
},
},
SiliconFlow: {
ApiKey: {
Title: "接口密钥",
SubTitle: "使用自定义硅基流动 API Key",
Placeholder: "硅基流动 API Key",
},
Endpoint: {
Title: "接口地址",
SubTitle: "样例：",
},
},
Stability: {
ApiKey: {
Title: "接口密钥",

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import { getClientConfig } from "../config/client";
import { SubmitKey } from "../store/config";
import { SAAS_CHAT_UTM_URL } from "@/app/constant";
import { PartialLocaleType } from "./index";
const isApp = !!getClientConfig()?.isApp;
const da: PartialLocaleType = {
WIP: "Der kommer snart mere...",
Error: {
Unauthorized: isApp
? `Hov, der skete en fejl. Sådan kan du komme videre:
\\ 1️⃣ Er du ny her? [Tryk for at starte nu 🚀](${SAAS_CHAT_UTM_URL})
\\ 2️⃣ Vil du bruge dine egne OpenAI-nøgler? [Tryk her](/#/settings) for at ændre indstillinger ⚙️`
: `Hov, der skete en fejl. Lad os løse det:
\\ 1️⃣ Er du ny her? [Tryk for at starte nu 🚀](${SAAS_CHAT_UTM_URL})
\\ 2️⃣ Bruger du en privat opsætning? [Tryk her](/#/auth) for at taste din nøgle 🔑
\\ 3️⃣ Vil du bruge dine egne OpenAI-nøgler? [Tryk her](/#/settings) for at ændre indstillinger ⚙️
`,
},
Auth: {
Return: "Tilbage",
Title: "Adgangskode",
Tips: "Skriv venligst koden herunder",
SubTips: "Eller brug din egen OpenAI- eller Google-nøgle",
Input: "Adgangskode",
Confirm: "OK",
Later: "Senere",
SaasTips: "Hvis det er for svært, kan du starte nu",
},
ChatItem: {
ChatItemCount: (count: number) => `${count} beskeder`,
},
Chat: {
SubTitle: (count: number) => `${count} beskeder`,
EditMessage: {
Title: "Rediger beskeder",
Topic: {
Title: "Emne",
SubTitle: "Skift emne for denne chat",
},
},
Actions: {
ChatList: "Gå til chatliste",
CompressedHistory: "Komprimeret historie",
Export: "Eksporter alle beskeder som Markdown",
Copy: "Kopiér",
Stop: "Stop",
Retry: "Prøv igen",
Pin: "Fastgør",
PinToastContent: "1 besked er nu fastgjort",
PinToastAction: "Se",
Delete: "Slet",
Edit: "Rediger",
FullScreen: "Fuld skærm",
RefreshTitle: "Opdatér titel",
RefreshToast: "Anmodning om ny titel sendt",
Speech: "Afspil",
StopSpeech: "Stop",
},
Commands: {
new: "Ny chat",
newm: "Ny chat med persona",
next: "Næste chat",
prev: "Forrige chat",
clear: "Ryd alt før",
fork: "Kopiér chat",
del: "Slet chat",
},
InputActions: {
Stop: "Stop",
ToBottom: "Ned til nyeste",
Theme: {
auto: "Automatisk",
light: "Lyst tema",
dark: "Mørkt tema",
},
Prompt: "Prompts",
Masks: "Personaer",
Clear: "Ryd kontekst",
Settings: "Indstillinger",
UploadImage: "Upload billeder",
},
Rename: "Omdøb chat",
Typing: "Skriver…",
Input: (submitKey: string) => {
let inputHints = `${submitKey} for at sende`;
if (submitKey === String(SubmitKey.Enter)) {
inputHints += ", Shift + Enter for ny linje";
}
return (
inputHints + ", / for at søge i prompts, : for at bruge kommandoer"
);
},
Send: "Send",
StartSpeak: "Start oplæsning",
StopSpeak: "Stop oplæsning",
Config: {
Reset: "Nulstil til standard",
SaveAs: "Gem som persona",
},
IsContext: "Ekstra prompt til baggrund",
ShortcutKey: {
Title: "Hurtigtaster",
newChat: "Åbn ny chat",
focusInput: "Fokus på tekstfeltet",
copyLastMessage: "Kopiér sidste svar",
copyLastCode: "Kopiér sidste kodeblok",
showShortcutKey: "Vis hurtigtaster",
clearContext: "Ryd kontekst",
},
},
Export: {
Title: "Eksportér beskeder",
Copy: "Kopiér alt",
Download: "Download",
MessageFromYou: "Fra dig",
MessageFromChatGPT: "Fra ChatGPT",
Share: "Del til ShareGPT",
Format: {
Title: "Filformat",
SubTitle: "Vælg enten Markdown eller PNG-billede",
},
IncludeContext: {
Title: "Tag baggrund med",
SubTitle: "Skal ekstra baggrund (persona) med i eksporten?",
},
Steps: {
Select: "Vælg",
Preview: "Forhåndsvis",
},
Image: {
Toast: "Laver billede...",
Modal: "Tryk længe eller højreklik for at gemme",
},
Artifacts: {
Title: "Del side",
Error: "Fejl ved deling",
},
},
Select: {
Search: "Søg",
All: "Vælg alle",
Latest: "Vælg nyeste",
Clear: "Ryd alt",
},
Memory: {
Title: "Huskesætning",
EmptyContent: "Ingenting lige nu.",
Send: "Send huskesætning",
Copy: "Kopiér huskesætning",
Reset: "Nulstil chat",
ResetConfirm:
"Dette sletter nuværende samtale og hukommelse. Er du sikker?",
},
Home: {
NewChat: "Ny Chat",
DeleteChat: "Vil du slette den valgte chat?",
DeleteToast: "Chat slettet",
Revert: "Fortryd",
},
Settings: {
Title: "Indstillinger",
SubTitle: "Alle indstillinger",
ShowPassword: "Vis kodeord",
Danger: {
Reset: {
Title: "Nulstil alle indstillinger",
SubTitle: "Gendan alt til standard",
Action: "Nulstil",
Confirm: "Vil du virkelig nulstille alt?",
},
Clear: {
Title: "Slet alle data",
SubTitle: "Sletter alt om beskeder og indstillinger",
Action: "Slet",
Confirm: "Er du sikker på, at du vil slette alt?",
},
},
Lang: {
Name: "Language",
All: "Alle sprog",
},
Avatar: "Avatar",
FontSize: {
Title: "Skriftstørrelse",
SubTitle: "Vælg, hvor stor teksten skal være",
},
FontFamily: {
Title: "Skrifttype",
SubTitle: "Hvis tom, bruger den standard skrifttype",
Placeholder: "Skrifttype-navn",
},
InjectSystemPrompts: {
Title: "Tilføj system-prompt",
SubTitle: "Læg altid en ekstra prompt først i anmodninger",
},
InputTemplate: {
Title: "Tekstskabelon",
SubTitle: "Den seneste besked placeres i denne skabelon",
},
Update: {
Version: (x: string) => `Version: ${x}`,
IsLatest: "Du har nyeste version",
CheckUpdate: "Tjek efter opdatering",
IsChecking: "Tjekker...",
FoundUpdate: (x: string) => `Ny version fundet: ${x}`,
GoToUpdate: "Opdatér",
Success: "Opdatering lykkedes.",
Failed: "Opdatering mislykkedes.",
},
SendKey: "Tast for send",
Theme: "Tema",
TightBorder: "Stram kant",
SendPreviewBubble: {
Title: "Forhåndsvisnings-boble",
SubTitle: "Vis tekst, før den sendes",
},
AutoGenerateTitle: {
Title: "Lav titel automatisk",
SubTitle: "Foreslå en titel ud fra chatten",
},
Sync: {
CloudState: "Seneste opdatering",
NotSyncYet: "Endnu ikke synkroniseret",
Success: "Synkronisering lykkedes",
Fail: "Synkronisering mislykkedes",
Config: {
Modal: {
Title: "Indstil synk",
Check: "Tjek forbindelse",
},
SyncType: {
Title: "Synk-type",
SubTitle: "Vælg en synk-tjeneste",
},
Proxy: {
Title: "Aktivér proxy",
SubTitle: "Brug proxy for at undgå netværksproblemer",
},
ProxyUrl: {
Title: "Proxy-adresse",
SubTitle: "Bruges kun til projektets egen proxy",
},
WebDav: {
Endpoint: "WebDAV-adresse",
UserName: "Brugernavn",
Password: "Kodeord",
},
UpStash: {
Endpoint: "UpStash Redis REST URL",
UserName: "Backup-navn",
Password: "UpStash Redis REST Token",
},
},
LocalState: "Lokale data",
Overview: (overview: any) =>
`${overview.chat} chats, ${overview.message} beskeder, ${overview.prompt} prompts, ${overview.mask} personaer`,
ImportFailed: "Import mislykkedes",
},
Mask: {
Splash: {
Title: "Persona-forside",
SubTitle: "Vis denne side, når du opretter ny chat",
},
Builtin: {
Title: "Skjul indbyggede personaer",
SubTitle: "Vis ikke de indbyggede personaer i listen",
},
},
Prompt: {
Disable: {
Title: "Slå auto-forslag fra",
SubTitle: "Tast / for at få forslag",
},
List: "Prompt-liste",
ListCount: (builtin: number, custom: number) =>
`${builtin} indbygget, ${custom} brugerdefineret`,
Edit: "Rediger",
Modal: {
Title: "Prompt-liste",
Add: "Tilføj",
Search: "Søg prompts",
},
EditModal: {
Title: "Rediger prompt",
},
},
HistoryCount: {
Title: "Antal beskeder, der følger med",
SubTitle: "Hvor mange af de tidligere beskeder, der sendes hver gang",
},
CompressThreshold: {
Title: "Komprimeringsgrænse",
SubTitle:
"Hvis chatten bliver for lang, vil den komprimeres efter dette antal tegn",
},
Usage: {
Title: "Brug og saldo",
SubTitle(used: any, total: any) {
return `Du har brugt $${used} i denne måned, og din grænse er $${total}.`;
},
IsChecking: "Tjekker...",
Check: "Tjek igen",
NoAccess: "Indtast API-nøgle for at se forbrug",
},
Access: {
AccessCode: {
Title: "Adgangskode",
SubTitle: "Adgangskontrol er slået til",
Placeholder: "Skriv kode her",
},
CustomEndpoint: {
Title: "Brugerdefineret adresse",
SubTitle: "Brug Azure eller OpenAI fra egen server",
},
Provider: {
Title: "Model-udbyder",
SubTitle: "Vælg Azure eller OpenAI",
},
OpenAI: {
ApiKey: {
Title: "OpenAI API-nøgle",
SubTitle: "Brug din egen nøgle",
Placeholder: "sk-xxx",
},
Endpoint: {
Title: "OpenAI Endpoint",
SubTitle: "Skal starte med http(s):// eller /api/openai som standard",
},
},
Azure: {
ApiKey: {
Title: "Azure Api Key",
SubTitle: "Hent din nøgle fra Azure-portalen",
Placeholder: "Azure Api Key",
},
Endpoint: {
Title: "Azure Endpoint",
SubTitle: "F.eks.: ",
},
ApiVerion: {
Title: "Azure Api Version",
SubTitle: "Hentet fra Azure-portalen",
},
},
Anthropic: {
ApiKey: {
Title: "Anthropic API-nøgle",
SubTitle: "Brug din egen Anthropic-nøgle",
Placeholder: "Anthropic API Key",
},
Endpoint: {
Title: "Endpoint-adresse",
SubTitle: "F.eks.: ",
},
ApiVerion: {
Title: "API-version (Claude)",
SubTitle: "Vælg den ønskede version",
},
},
Baidu: {
ApiKey: {
Title: "Baidu-nøgle",
SubTitle: "Din egen Baidu-nøgle",
Placeholder: "Baidu API Key",
},
SecretKey: {
Title: "Baidu hemmelig nøgle",
SubTitle: "Din egen hemmelige nøgle fra Baidu",
Placeholder: "Baidu Secret Key",
},
Endpoint: {
Title: "Adresse",
SubTitle: "Kan ikke ændres, se .env",
},
},
Tencent: {
ApiKey: {
Title: "Tencent-nøgle",
SubTitle: "Din egen nøgle fra Tencent",
Placeholder: "Tencent API Key",
},
SecretKey: {
Title: "Tencent hemmelig nøgle",
SubTitle: "Din egen hemmelige nøgle fra Tencent",
Placeholder: "Tencent Secret Key",
},
Endpoint: {
Title: "Adresse",
SubTitle: "Kan ikke ændres, se .env",
},
},
ByteDance: {
ApiKey: {
Title: "ByteDance-nøgle",
SubTitle: "Din egen nøgle til ByteDance",
Placeholder: "ByteDance API Key",
},
Endpoint: {
Title: "Adresse",
SubTitle: "F.eks.: ",
},
},
Alibaba: {
ApiKey: {
Title: "Alibaba-nøgle",
SubTitle: "Din egen Alibaba Cloud-nøgle",
Placeholder: "Alibaba Cloud API Key",
},
Endpoint: {
Title: "Adresse",
SubTitle: "F.eks.: ",
},
},
Moonshot: {
ApiKey: {
Title: "Moonshot-nøgle",
SubTitle: "Din egen Moonshot-nøgle",
Placeholder: "Moonshot API Key",
},
Endpoint: {
Title: "Adresse",
SubTitle: "F.eks.: ",
},
},
DeepSeek: {
ApiKey: {
Title: "DeepSeek-nøgle",
SubTitle: "Din egen DeepSeek-nøgle",
Placeholder: "DeepSeek API Key",
},
Endpoint: {
Title: "Adresse",
SubTitle: "F.eks.: ",
},
},
XAI: {
ApiKey: {
Title: "XAI-nøgle",
SubTitle: "Din egen XAI-nøgle",
Placeholder: "XAI API Key",
},
Endpoint: {
Title: "Adresse",
SubTitle: "F.eks.: ",
},
},
ChatGLM: {
ApiKey: {
Title: "ChatGLM-nøgle",
SubTitle: "Din egen ChatGLM-nøgle",
Placeholder: "ChatGLM API Key",
},
Endpoint: {
Title: "Adresse",
SubTitle: "F.eks.: ",
},
},
SiliconFlow: {
ApiKey: {
Title: "SiliconFlow-nøgle",
SubTitle: "Din egen SiliconFlow-nøgle",
Placeholder: "SiliconFlow API Key",
},
Endpoint: {
Title: "Adresse",
SubTitle: "F.eks.: ",
},
},
Stability: {
ApiKey: {
Title: "Stability-nøgle",
SubTitle: "Din egen Stability-nøgle",
Placeholder: "Stability API Key",
},
Endpoint: {
Title: "Adresse",
SubTitle: "F.eks.: ",
},
},
Iflytek: {
ApiKey: {
Title: "Iflytek API Key",
SubTitle: "Nøgle fra Iflytek",
Placeholder: "Iflytek API Key",
},
ApiSecret: {
Title: "Iflytek hemmelig nøgle",
SubTitle: "Hentet fra Iflytek",
Placeholder: "Iflytek API Secret",
},
Endpoint: {
Title: "Adresse",
SubTitle: "F.eks.: ",
},
},
CustomModel: {
Title: "Egne modelnavne",
SubTitle: "Skriv komma-adskilte navne",
},
Google: {
ApiKey: {
Title: "Google-nøgle",
SubTitle: "Få din nøgle hos Google AI",
Placeholder: "Google AI API Key",
},
Endpoint: {
Title: "Adresse",
SubTitle: "F.eks.: ",
},
ApiVersion: {
Title: "API-version (til gemini-pro)",
SubTitle: "Vælg en bestemt version",
},
GoogleSafetySettings: {
Title: "Google sikkerhedsindstillinger",
SubTitle: "Vælg et niveau for indholdskontrol",
},
},
},
Model: "Model",
CompressModel: {
Title: "Opsummeringsmodel",
SubTitle: "Bruges til at korte historik ned og lave titel",
},
Temperature: {
Title: "Temperatur",
SubTitle: "Jo højere tal, jo mere kreativt svar",
},
TopP: {
Title: "Top P",
SubTitle: "Skal ikke ændres sammen med temperatur",
},
MaxTokens: {
Title: "Maks. længde",
SubTitle: "Hvor mange tokens (ord/stykker tekst) der kan bruges",
},
PresencePenalty: {
Title: "Nye emner",
SubTitle: "Jo højere tal, jo mere nyt indhold",
},
FrequencyPenalty: {
Title: "Gentagelsesstraf",
SubTitle: "Jo højere tal, jo mindre gentagelse",
},
TTS: {
Enable: {
Title: "Tænd for oplæsning (TTS)",
SubTitle: "Slå tekst-til-tale til",
},
Autoplay: {
Title: "Automatisk oplæsning",
SubTitle: "Laver lyd automatisk, hvis TTS er slået til",
},
Model: "Model",
Voice: {
Title: "Stemme",
SubTitle: "Hvilken stemme der bruges til lyd",
},
Speed: {
Title: "Hastighed",
SubTitle: "Hvor hurtigt der oplæses",
},
Engine: "TTS-motor",
},
Realtime: {
Enable: {
Title: "Live-chat",
SubTitle: "Slå live-svar til",
},
Provider: {
Title: "Modeludbyder",
SubTitle: "Vælg forskellig udbyder",
},
Model: {
Title: "Model",
SubTitle: "Vælg en model",
},
ApiKey: {
Title: "API-nøgle",
SubTitle: "Din nøgle",
Placeholder: "API-nøgle",
},
Azure: {
Endpoint: {
Title: "Adresse",
SubTitle: "Endpoint til Azure",
},
Deployment: {
Title: "Udrulningsnavn",
SubTitle: "Navn for dit Azure-setup",
},
},
Temperature: {
Title: "Temperatur",
SubTitle: "Højere tal = mere varierede svar",
},
},
},
Store: {
DefaultTopic: "Ny samtale",
BotHello: "Hej! Hvordan kan jeg hjælpe dig i dag?",
Error: "Noget gik galt. Prøv igen senere.",
Prompt: {
History: (content: string) =>
"Her er et kort resume af, hvad vi har snakket om: " + content,
Topic:
"Find en kort overskrift med 4-5 ord om emnet. Ingen tegnsætning eller anførselstegn.",
Summarize:
"Skriv et kort resumé (under 200 ord) af vores samtale til senere brug.",
},
},
Copy: {
Success: "Kopieret",
Failed: "Kunne ikke kopiere. Giv adgang til udklipsholder.",
},
Download: {
Success: "Filen er downloadet.",
Failed: "Download fejlede.",
},
Context: {
Toast: (x: any) => `Inkluderer ${x} ekstra prompts`,
Edit: "Chatindstillinger",
Add: "Tilføj prompt",
Clear: "Kontekst ryddet",
Revert: "Fortryd",
},
Discovery: {
Name: "Søgning og plugins",
},
Mcp: {
Name: "MCP",
},
FineTuned: {
Sysmessage: "Du er en hjælper, der skal...",
},
SearchChat: {
Name: "Søg",
Page: {
Title: "Søg i tidligere chats",
Search: "Skriv her for at søge",
NoResult: "Ingen resultater",
NoData: "Ingen data",
Loading: "Henter...",
SubTitle: (count: number) => `Fandt ${count} resultater`,
},
Item: {
View: "Vis",
},
},
Plugin: {
Name: "Plugin",
Page: {
Title: "Plugins",
SubTitle: (count: number) => `${count} plugins`,
Search: "Søg plugin",
Create: "Opret nyt",
Find: "Du kan finde flere plugins på GitHub: ",
},
Item: {
Info: (count: number) => `${count} metode`,
View: "Vis",
Edit: "Rediger",
Delete: "Slet",
DeleteConfirm: "Vil du slette?",
},
Auth: {
None: "Ingen",
Basic: "Basic",
Bearer: "Bearer",
Custom: "Tilpasset",
CustomHeader: "Parameternavn",
Token: "Token",
Proxy: "Brug Proxy",
ProxyDescription: "Løs CORS-problemer med Proxy",
Location: "Sted",
LocationHeader: "Header",
LocationQuery: "Query",
LocationBody: "Body",
},
EditModal: {
Title: (readonly: boolean) =>
`Rediger Plugin ${readonly ? "(skrivebeskyttet)" : ""}`,
Download: "Download",
Auth: "Godkendelsestype",
Content: "OpenAPI Schema",
Load: "Hent fra URL",
Method: "Metode",
Error: "Fejl i OpenAPI Schema",
},
},
Mask: {
Name: "Persona",
Page: {
Title: "Prompts som personaer",
SubTitle: (count: number) => `${count} skabeloner`,
Search: "Søg skabeloner",
Create: "Opret ny",
},
Item: {
Info: (count: number) => `${count} prompts`,
Chat: "Chat",
View: "Vis",
Edit: "Rediger",
Delete: "Slet",
DeleteConfirm: "Vil du slette?",
},
EditModal: {
Title: (readonly: boolean) =>
`Rediger skabelon ${readonly ? "(skrivebeskyttet)" : ""}`,
Download: "Download",
Clone: "Klon",
},
Config: {
Avatar: "Chat-avatar",
Name: "Chat-navn",
Sync: {
Title: "Brug globale indstillinger",
SubTitle: "Gældende for denne chat",
Confirm: "Erstat nuværende indstillinger med globale?",
},
HideContext: {
Title: "Skjul ekstra prompts",
SubTitle: "Vis dem ikke på chat-skærmen",
},
Artifacts: {
Title: "Brug Artefakter",
SubTitle: "Gør det muligt at vise HTML-sider",
},
CodeFold: {
Title: "Fold kode sammen",
SubTitle: "Luk/åbn lange kodestykker automatisk",
},
Share: {
Title: "Del denne persona",
SubTitle: "Få et link til denne skabelon",
Action: "Kopiér link",
},
},
},
NewChat: {
Return: "Tilbage",
Skip: "Start straks",
Title: "Vælg en persona",
SubTitle: "Chat med den persona, du vælger",
More: "Se flere",
NotShow: "Vis ikke igen",
ConfirmNoShow:
"Er du sikker på, at du ikke vil se det igen? Du kan altid slå det til under indstillinger.",
},
UI: {
Confirm: "OK",
Cancel: "Fortryd",
Close: "Luk",
Create: "Opret",
Edit: "Rediger",
Export: "Eksporter",
Import: "Importér",
Sync: "Synk",
Config: "Konfigurer",
},
Exporter: {
Description: {
Title: "Kun beskeder efter sidste rydning vises",
},
Model: "Model",
Messages: "Beskeder",
Topic: "Emne",
Time: "Tid",
},
URLCommand: {
Code: "Så ud til, at der var en kode i linket. Vil du bruge den?",
Settings: "Så ud til, at der var indstillinger i linket. Vil du bruge dem?",
},
SdPanel: {
Prompt: "Prompt",
NegativePrompt: "Negativ prompt",
PleaseInput: (name: string) => `Indtast: ${name}`,
AspectRatio: "Billedformat",
ImageStyle: "Stil",
OutFormat: "Uddataformat",
AIModel: "AI-model",
ModelVersion: "Version",
Submit: "Send",
ParamIsRequired: (name: string) => `${name} er krævet`,
Styles: {
D3Model: "3d-model",
AnalogFilm: "analog-film",
Anime: "anime",
Cinematic: "cinematisk",
ComicBook: "tegneserie",
DigitalArt: "digital-art",
Enhance: "enhance",
FantasyArt: "fantasy-art",
Isometric: "isometric",
LineArt: "line-art",
LowPoly: "low-poly",
ModelingCompound: "modeling-compound",
NeonPunk: "neon-punk",
Origami: "origami",
Photographic: "fotografisk",
PixelArt: "pixel-art",
TileTexture: "tile-texture",
},
},
Sd: {
SubTitle: (count: number) => `${count} billeder`,
Actions: {
Params: "Se indstillinger",
Copy: "Kopiér prompt",
Delete: "Slet",
Retry: "Prøv igen",
ReturnHome: "Til forsiden",
History: "Historik",
},
EmptyRecord: "Ingen billeder endnu",
Status: {
Name: "Status",
Success: "Ok",
Error: "Fejl",
Wait: "Venter",
Running: "I gang",
},
Danger: {
Delete: "Vil du slette?",
},
GenerateParams: "Genereringsvalg",
Detail: "Detaljer",
},
};
export default da;

11
app/locales/en.ts
View File

@ -480,6 +480,17 @@ const en: LocaleType = {
SubTitle: "Example: ",
},
},
SiliconFlow: {
ApiKey: {
Title: "SiliconFlow API Key",
SubTitle: "Use a custom SiliconFlow API Key",
Placeholder: "SiliconFlow API Key",
},
Endpoint: {
Title: "Endpoint Address",
SubTitle: "Example: ",
},
},
Stability: {
ApiKey: {
Title: "Stability API Key",

4
app/locales/index.ts
View File

@ -2,6 +2,7 @@ import cn from "./cn";
import en from "./en";
import pt from "./pt";
import tw from "./tw";
import da from "./da";
import id from "./id";
import fr from "./fr";
import es from "./es";
@ -30,6 +31,7 @@ const ALL_LANGS = {
en,
tw,
pt,
da,
jp,
ko,
id,
@ -56,6 +58,7 @@ export const ALL_LANG_OPTIONS: Record<Lang, string> = {
en: "English",
pt: "Português",
tw: "繁體中文",
da: "Dansk",
jp: "日本語",
ko: "한국어",
id: "Indonesia",
@ -141,6 +144,7 @@ export const STT_LANG_MAP: Record<Lang, string> = {
en: "en-US",
pt: "pt-BR",
tw: "zh-TW",
da: "da-DK",
jp: "ja-JP",
ko: "ko-KR",
id: "id-ID",

14
app/store/access.ts
View File

@ -16,6 +16,7 @@ import {
DEEPSEEK_BASE_URL,
XAI_BASE_URL,
CHATGLM_BASE_URL,
SILICONFLOW_BASE_URL,
} from "../constant";
import { getHeaders } from "../client/api";
import { getClientConfig } from "../config/client";
@ -54,6 +55,10 @@ const DEFAULT_XAI_URL = isApp ? XAI_BASE_URL : ApiPath.XAI;
const DEFAULT_CHATGLM_URL = isApp ? CHATGLM_BASE_URL : ApiPath.ChatGLM;
const DEFAULT_SILICONFLOW_URL = isApp
? SILICONFLOW_BASE_URL
: ApiPath.SiliconFlow;
const DEFAULT_ACCESS_STATE = {
accessCode: "",
useCustomConfig: false,
@ -123,6 +128,10 @@ const DEFAULT_ACCESS_STATE = {
chatglmUrl: DEFAULT_CHATGLM_URL,
chatglmApiKey: "",
// siliconflow
siliconflowUrl: DEFAULT_SILICONFLOW_URL,
siliconflowApiKey: "",
// server config
needCode: true,
hideUserApiKey: false,
@ -207,6 +216,10 @@ export const useAccessStore = createPersistStore(
return ensure(get(), ["chatglmApiKey"]);
},
isValidSiliconFlow() {
return ensure(get(), ["siliconflowApiKey"]);
},
isAuthorized() {
this.fetch();
@ -225,6 +238,7 @@ export const useAccessStore = createPersistStore(
this.isValidDeepSeek() ||
this.isValidXAI() ||
this.isValidChatGLM() ||
this.isValidSiliconFlow() ||
!this.enabledAccessControl() ||
(this.enabledAccessControl() && ensure(get(), ["accessCode"]))
);

20
app/utils.ts
View File

@ -2,7 +2,11 @@ import { useEffect, useState } from "react";
import { showToast } from "./components/ui-lib";
import Locale from "./locales";
import { RequestMessage } from "./client/api";
import { ServiceProvider } from "./constant";
import {
REQUEST_TIMEOUT_MS,
REQUEST_TIMEOUT_MS_FOR_THINKING,
ServiceProvider,
} from "./constant";
// import { fetch as tauriFetch, ResponseType } from "@tauri-apps/api/http";
import { fetch as tauriStreamFetch } from "./utils/stream";
import { VISION_MODEL_REGEXES, EXCLUDE_VISION_MODEL_REGEXES } from "./constant";
@ -292,6 +296,20 @@ export function isDalle3(model: string) {
return "dall-e-3" === model;
}
export function getTimeoutMSByModel(model: string) {
model = model.toLowerCase();
if (
model.startsWith("dall-e") ||
model.startsWith("dalle") ||
model.startsWith("o1") ||
model.startsWith("o3") ||
model.includes("deepseek-r") ||
model.includes("-thinking")
)
return REQUEST_TIMEOUT_MS_FOR_THINKING;
return REQUEST_TIMEOUT_MS;
}
export function getModelSizes(model: string): ModelSize[] {
if (isDalle3(model)) {
return ["1024x1024", "1792x1024", "1024x1792"];

44
app/utils/chat.ts
View File

@ -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)) {
@ -400,6 +418,7 @@ export function streamWithThink(
let responseRes: Response;
let isInThinkingMode = false;
let lastIsThinking = false;
let lastIsThinkingTagged = false; //between <think> and </think> tags
// animate response to make it looks smooth
function animateResponseText() {
@ -576,9 +595,26 @@ export function streamWithThink(
try {
const chunk = parseSSE(text, runTools);
// Skip if content is empty
if (!chunk?.content || chunk.content.trim().length === 0) {
if (!chunk?.content || chunk.content.length === 0) {
return;
}
// deal with <think> and </think> tags start
if (!chunk.isThinking) {
if (chunk.content.startsWith("<think>")) {
chunk.isThinking = true;
chunk.content = chunk.content.slice(7).trim();
lastIsThinkingTagged = true;
} else if (chunk.content.endsWith("</think>")) {
chunk.isThinking = false;
chunk.content = chunk.content.slice(0, -8).trim();
lastIsThinkingTagged = false;
} else if (lastIsThinkingTagged) {
chunk.isThinking = true;
}
}
// deal with <think> and </think> tags start
// Check if thinking mode changed
const isThinkingChanged = lastIsThinking !== chunk.isThinking;
lastIsThinking = chunk.isThinking;