GithubProxy/ChatGPT-Next-Web
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Merge branch 'main' of https://github.com/ChatGPTNextWeb/ChatGPT-Next-Web

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GH Action - Upstream Sync 2024-11-05 00:56:22 +00:00
commit f401c9e660
27 changed files with 95 additions and 57 deletions
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5
README.md
View File

@ -31,7 +31,7 @@ One-Click to get a well-designed cross-platform ChatGPT web UI, with GPT3, GPT4
[MacOS-image]: https://img.shields.io/badge/-MacOS-black?logo=apple
[Linux-image]: https://img.shields.io/badge/-Linux-333?logo=ubuntu
[<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) [<img src="https://img.shields.io/badge/BT_Deploy-Install-20a53a" alt="Open in Gitpod" height="30">](https://www.bt.cn/new/download.html)
[<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)
[<img src="https://github.com/user-attachments/assets/903482d4-3e87-4134-9af1-f2588fa90659" height="60" width="288" >](https://monica.im/?utm=nxcrp)
@ -397,6 +397,9 @@ yarn dev
> [简体中文 > 如何部署到私人服务器](./README_CN.md#部署)
### BT Install
> [简体中文 > 如何通过宝塔一键部署](./docs/bt-cn.md)
### Docker (Recommended)
```shell

3
README_CN.md
View File

@ -264,6 +264,9 @@ BASE_URL=https://b.nextweb.fun/api/proxy
## 部署
### 宝塔面板部署
> [简体中文 > 如何通过宝塔一键部署](./docs/bt-cn.md)
### 容器部署 （推荐）
> Docker 版本需要在 20 及其以上，否则会提示找不到镜像。

2
app/client/api.ts
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@ -70,7 +70,7 @@ export interface ChatOptions {
config: LLMConfig;
onUpdate?: (message: string, chunk: string) => void;
onFinish: (message: string) => void;
onFinish: (message: string, responseRes: Response) => void;
onError?: (err: Error) => void;
onController?: (controller: AbortController) => void;
onBeforeTool?: (tool: ChatMessageTool) => void;

6
app/client/platforms/alibaba.ts
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@ -143,6 +143,7 @@ export class QwenApi implements LLMApi {
let responseText = "";
let remainText = "";
let finished = false;
let responseRes: Response;
// animate response to make it looks smooth
function animateResponseText() {
@ -172,7 +173,7 @@ export class QwenApi implements LLMApi {
const finish = () => {
if (!finished) {
finished = true;
options.onFinish(responseText + remainText);
options.onFinish(responseText + remainText, responseRes);
}
};
@ -188,6 +189,7 @@ export class QwenApi implements LLMApi {
"[Alibaba] request response content type: ",
contentType,
);
responseRes = res;
if (contentType?.startsWith("text/plain")) {
responseText = await res.clone().text();
@ -254,7 +256,7 @@ export class QwenApi 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);

5
app/client/platforms/anthropic.ts
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@ -317,13 +317,14 @@ export class ClaudeApi implements LLMApi {
};
try {
controller.signal.onabort = () => options.onFinish("");
controller.signal.onabort = () =>
options.onFinish("", new Response(null, { status: 400 }));
const res = await fetch(path, payload);
const resJson = await res.json();
const message = this.extractMessage(resJson);
options.onFinish(message);
options.onFinish(message, res);
} catch (e) {
console.error("failed to chat", e);
options.onError?.(e as Error);

7
app/client/platforms/baidu.ts
View File

@ -162,6 +162,7 @@ export class ErnieApi implements LLMApi {
let responseText = "";
let remainText = "";
let finished = false;
let responseRes: Response;
// animate response to make it looks smooth
function animateResponseText() {
@ -191,7 +192,7 @@ export class ErnieApi implements LLMApi {
const finish = () => {
if (!finished) {
finished = true;
options.onFinish(responseText + remainText);
options.onFinish(responseText + remainText, responseRes);
}
};
@ -204,7 +205,7 @@ export class ErnieApi implements LLMApi {
clearTimeout(requestTimeoutId);
const contentType = res.headers.get("content-type");
console.log("[Baidu] request response content type: ", contentType);
responseRes = res;
if (contentType?.startsWith("text/plain")) {
responseText = await res.clone().text();
return finish();
@ -267,7 +268,7 @@ export class ErnieApi implements LLMApi {
const resJson = await res.json();
const message = resJson?.result;
options.onFinish(message);
options.onFinish(message, res);
}
} catch (e) {
console.log("[Request] failed to make a chat request", e);

7
app/client/platforms/bytedance.ts
View File

@ -130,6 +130,7 @@ export class DoubaoApi implements LLMApi {
let responseText = "";
let remainText = "";
let finished = false;
let responseRes: Response;
// animate response to make it looks smooth
function animateResponseText() {
@ -159,7 +160,7 @@ export class DoubaoApi implements LLMApi {
const finish = () => {
if (!finished) {
finished = true;
options.onFinish(responseText + remainText);
options.onFinish(responseText + remainText, responseRes);
}
};
@ -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);
options.onFinish(message, res);
}
} catch (e) {
console.log("[Request] failed to make a chat request", e);

2
app/client/platforms/glm.ts
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@ -177,7 +177,7 @@ export class ChatGLMApi 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);

2
app/client/platforms/google.ts
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@ -274,7 +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);

7
app/client/platforms/iflytek.ts
View File

@ -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);

2
app/client/platforms/moonshot.ts
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@ -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);

2
app/client/platforms/openai.ts
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@ -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);

7
app/client/platforms/tencent.ts
View File

@ -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);

2
app/client/platforms/xai.ts
View File

@ -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);

35
app/store/chat.ts
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@ -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) {

4
app/utils.ts
View File

@ -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)
);
}

4
app/utils/chat.ts
View File

@ -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();

2
app/utils/stream.ts
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@ -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,

29
docs/bt-cn.md Normal file
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@ -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
![bt-install-1](./images/bt/bt-install-1.jpeg)
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
![bt-install-2](./images/bt/bt-install-2.jpeg)
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
![bt-install-3](./images/bt/bt-install-3.jpeg)
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。
![bt-install-4](./images/bt/bt-install-4.jpeg)
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。
![bt-install-5](./images/bt/bt-install-5.jpeg)
![bt-install-6](./images/bt/bt-install-6.jpeg)

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2
package.json
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@ -58,7 +58,7 @@
"@tauri-apps/cli": "1.5.11",
"@testing-library/dom": "^10.4.0",
"@testing-library/jest-dom": "^6.6.2",
"@testing-library/react": "^16.0.0",
"@testing-library/react": "^16.0.1",
"@types/jest": "^29.5.14",
"@types/js-yaml": "4.0.9",
"@types/lodash-es": "^4.17.12",

17
yarn.lock
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@ -1201,14 +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==
@ -2134,10 +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"