chore: update domain

* Token Adds Option to Quickly Copy AMA and OpenCat URL Scheme

* feat: add ChatGPT Next Web

---------

Co-authored-by: JustSong <songquanpeng@foxmail.com>

README.en.md

@@ -137,7 +137,7 @@ The initial account username is `root` and password is `123456`.
    cd one-api/web
    npm install
    npm run build
-
+   
    # Build the backend
    cd ..
    go mod download
@@ -173,7 +173,12 @@ If you encounter a blank page after deployment, refer to [#97](https://github.co
 <summary><strong>Deploy on Sealos</strong></summary>
 <div>
 
-Please refer to [this tutorial](https://github.com/c121914yu/FastGPT/blob/main/docs/deploy/one-api/sealos.md).
+> Sealos supports high concurrency, dynamic scaling, and stable operations for millions of users.
+
+> Click the button below to deploy with one click.👇
+
+[![](https://raw.githubusercontent.com/labring-actions/templates/main/Deploy-on-Sealos.svg)](https://cloud.sealos.io/?openapp=system-fastdeploy?templateName=one-api)
+
 
 </div>
 </details>

README.md

@@ -153,7 +153,7 @@ sudo service nginx restart
    cd one-api/web
    npm install
    npm run build
-
+   
    # 构建后端
    cd ..
    go mod download
@@ -211,9 +211,11 @@ docker run --name chatgpt-web -d -p 3002:3002 -e OPENAI_API_BASE_URL=https://ope
 <summary><strong>部署到 Sealos </strong></summary>
 <div>
 
-> Sealos 可视化部署，仅需 1 分钟。
+> Sealos 的服务器在国外，不需要额外处理网络问题，支持高并发 & 动态伸缩。
 
-参考这个[教程](https://github.com/c121914yu/FastGPT/blob/main/docs/deploy/one-api/sealos.md)中 1~5 步。
+点击以下按钮一键部署：
+
+[![Deploy-on-Sealos.svg](https://raw.githubusercontent.com/labring-actions/templates/main/Deploy-on-Sealos.svg)](https://cloud.sealos.io/?openapp=system-fastdeploy?templateName=one-api)
 
 </div>
 </details>
@@ -314,6 +316,7 @@ https://openai.justsong.cn
    + 额度 = 分组倍率 * 模型倍率 * （提示 token 数 + 补全 token 数 * 补全倍率）
    + 其中补全倍率对于 GPT3.5 固定为 1.33，GPT4 为 2，与官方保持一致。
    + 如果是非流模式，官方接口会返回消耗的总 token，但是你要注意提示和补全的消耗倍率不一样。
+   + 注意，One API 的默认倍率就是官方倍率，是已经调整过的。
 2. 账户额度足够为什么提示额度不足？
    + 请检查你的令牌额度是否足够，这个和账户额度是分开的。
    + 令牌额度仅供用户设置最大使用量，用户可自由设置。

controller/relay-openai.go

@@ -46,7 +46,7 @@ func openaiStreamHandler(c *gin.Context, resp *http.Response, relayMode int) (*O
 					err := json.Unmarshal([]byte(data), &streamResponse)
 					if err != nil {
 						common.SysError("error unmarshalling stream response: " + err.Error())
-						return
+						continue // just ignore the error
 					}
 					for _, choice := range streamResponse.Choices {
 						responseText += choice.Delta.Content
@@ -56,7 +56,7 @@ func openaiStreamHandler(c *gin.Context, resp *http.Response, relayMode int) (*O
 					err := json.Unmarshal([]byte(data), &streamResponse)
 					if err != nil {
 						common.SysError("error unmarshalling stream response: " + err.Error())
-						return
+						continue
 					}
 					for _, choice := range streamResponse.Choices {
 						responseText += choice.Text
@@ -92,7 +92,7 @@ func openaiStreamHandler(c *gin.Context, resp *http.Response, relayMode int) (*O
 	return nil, responseText
 }
 
-func openaiHandler(c *gin.Context, resp *http.Response, consumeQuota bool) (*OpenAIErrorWithStatusCode, *Usage) {
+func openaiHandler(c *gin.Context, resp *http.Response, consumeQuota bool, promptTokens int, model string) (*OpenAIErrorWithStatusCode, *Usage) {
 	var textResponse TextResponse
 	if consumeQuota {
 		responseBody, err := io.ReadAll(resp.Body)
@@ -132,5 +132,17 @@ func openaiHandler(c *gin.Context, resp *http.Response, consumeQuota bool) (*Ope
 	if err != nil {
 		return errorWrapper(err, "close_response_body_failed", http.StatusInternalServerError), nil
 	}
+
+	if textResponse.Usage.TotalTokens == 0 {
+		completionTokens := 0
+		for _, choice := range textResponse.Choices {
+			completionTokens += countTokenText(choice.Message.Content, model)
+		}
+		textResponse.Usage = Usage{
+			PromptTokens:     promptTokens,
+			CompletionTokens: completionTokens,
+			TotalTokens:      promptTokens + completionTokens,
+		}
+	}
 	return nil, &textResponse.Usage
 }

controller/relay-text.go

@@ -302,7 +302,7 @@ func relayTextHelper(c *gin.Context, relayMode int) *OpenAIErrorWithStatusCode {
 		if err != nil {
 			return errorWrapper(err, "close_request_body_failed", http.StatusInternalServerError)
 		}
-		isStream = strings.HasPrefix(resp.Header.Get("Content-Type"), "text/event-stream")
+		isStream = isStream || strings.HasPrefix(resp.Header.Get("Content-Type"), "text/event-stream")
 	}
 
 	var textResponse TextResponse
@@ -362,7 +362,7 @@ func relayTextHelper(c *gin.Context, relayMode int) *OpenAIErrorWithStatusCode {
 			textResponse.Usage.CompletionTokens = countTokenText(responseText, textRequest.Model)
 			return nil
 		} else {
-			err, usage := openaiHandler(c, resp, consumeQuota)
+			err, usage := openaiHandler(c, resp, consumeQuota, promptTokens, textRequest.Model)
 			if err != nil {
 				return err
 			}

controller/relay-xunfei.go

@@ -63,16 +63,16 @@ type XunfeiChatResponse struct {
 			Seq    int                          `json:"seq"`
 			Text   []XunfeiChatResponseTextItem `json:"text"`
 		} `json:"choices"`
+		Usage struct {
+			//Text struct {
+			//	QuestionTokens   string `json:"question_tokens"`
+			//	PromptTokens     string `json:"prompt_tokens"`
+			//	CompletionTokens string `json:"completion_tokens"`
+			//	TotalTokens      string `json:"total_tokens"`
+			//} `json:"text"`
+			Text Usage `json:"text"`
+		} `json:"usage"`
 	} `json:"payload"`
-	Usage struct {
-		//Text struct {
-		//	QuestionTokens   string `json:"question_tokens"`
-		//	PromptTokens     string `json:"prompt_tokens"`
-		//	CompletionTokens string `json:"completion_tokens"`
-		//	TotalTokens      string `json:"total_tokens"`
-		//} `json:"text"`
-		Text Usage `json:"text"`
-	} `json:"usage"`
 }
 
 func requestOpenAI2Xunfei(request GeneralOpenAIRequest, xunfeiAppId string) *XunfeiChatRequest {
@@ -123,7 +123,7 @@ func responseXunfei2OpenAI(response *XunfeiChatResponse) *OpenAITextResponse {
 		Object:  "chat.completion",
 		Created: common.GetTimestamp(),
 		Choices: []OpenAITextResponseChoice{choice},
-		Usage:   response.Usage.Text,
+		Usage:   response.Payload.Usage.Text,
 	}
 	return &fullTextResponse
 }
@@ -222,9 +222,9 @@ func xunfeiStreamHandler(c *gin.Context, textRequest GeneralOpenAIRequest, appId
 	c.Stream(func(w io.Writer) bool {
 		select {
 		case xunfeiResponse := <-dataChan:
-			usage.PromptTokens += xunfeiResponse.Usage.Text.PromptTokens
-			usage.CompletionTokens += xunfeiResponse.Usage.Text.CompletionTokens
-			usage.TotalTokens += xunfeiResponse.Usage.Text.TotalTokens
+			usage.PromptTokens += xunfeiResponse.Payload.Usage.Text.PromptTokens
+			usage.CompletionTokens += xunfeiResponse.Payload.Usage.Text.CompletionTokens
+			usage.TotalTokens += xunfeiResponse.Payload.Usage.Text.TotalTokens
 			response := streamResponseXunfei2OpenAI(&xunfeiResponse)
 			jsonResponse, err := json.Marshal(response)
 			if err != nil {

controller/relay-zhipu.go

@@ -194,8 +194,8 @@ func zhipuStreamHandler(c *gin.Context, resp *http.Response) (*OpenAIErrorWithSt
 		if atEOF && len(data) == 0 {
 			return 0, nil, nil
 		}
-		if i := strings.Index(string(data), "\n"); i >= 0 {
-			return i + 1, data[0:i], nil
+		if i := strings.Index(string(data), "\n\n"); i >= 0 && strings.Index(string(data), ":") >= 0 {
+			return i + 2, data[0:i], nil
 		}
 		if atEOF {
 			return len(data), data, nil
@@ -208,14 +208,19 @@ func zhipuStreamHandler(c *gin.Context, resp *http.Response) (*OpenAIErrorWithSt
 	go func() {
 		for scanner.Scan() {
 			data := scanner.Text()
-			data = strings.Trim(data, "\"")
-			if len(data) < 5 { // ignore blank line or wrong format
-				continue
-			}
-			if data[:5] == "data:" {
-				dataChan <- data[5:]
-			} else if data[:5] == "meta:" {
-				metaChan <- data[5:]
+			lines := strings.Split(data, "\n")
+			for i, line := range lines {
+				if len(line) < 5 {
+					continue
+				}
+				if line[:5] == "data:" {
+					dataChan <- line[5:]
+					if i != len(lines)-1 {
+						dataChan <- "\n"
+					}
+				} else if line[:5] == "meta:" {
+					metaChan <- line[5:]
+				}
 			}
 		}
 		stopChan <- true

controller/relay.go

@@ -81,8 +81,9 @@ type OpenAIErrorWithStatusCode struct {
 }
 
 type TextResponse struct {
-	Usage `json:"usage"`
-	Error OpenAIError `json:"error"`
+	Choices []OpenAITextResponseChoice `json:"choices"`
+	Usage   `json:"usage"`
+	Error   OpenAIError `json:"error"`
 }
 
 type OpenAITextResponseChoice struct {

web/src/components/TokensTable.js

@@ -1,11 +1,17 @@
 import React, { useEffect, useState } from 'react';
-import { Button, Form, Label, Modal, Pagination, Popup, Table } from 'semantic-ui-react';
+import { Button, Dropdown, Form, Label, Pagination, Popup, Table } from 'semantic-ui-react';
 import { Link } from 'react-router-dom';
 import { API, copy, showError, showSuccess, showWarning, timestamp2string } from '../helpers';
 
 import { ITEMS_PER_PAGE } from '../constants';
 import { renderQuota } from '../helpers/render';
 
+const COPY_OPTIONS = [
+  { key: 'next', text: 'ChatGPT Next Web', value: 'next' },
+  { key: 'ama', text: 'AMA 问天', value: 'ama' },
+  { key: 'opencat', text: 'OpenCat', value: 'opencat' },
+];
+
 function renderTimestamp(timestamp) {
   return (
     <>
@@ -68,7 +74,40 @@ const TokensTable = () => {
   const refresh = async () => {
     setLoading(true);
     await loadTokens(activePage - 1);
-  }
+  };
+
+  const onCopy = async (type, key) => {
+    let status = localStorage.getItem('status');
+    let serverAddress = '';
+    if (status) {
+      status = JSON.parse(status);
+      serverAddress = status.server_address;
+    }
+    if (serverAddress === '') {
+      serverAddress = window.location.origin;
+    }
+    let encodedServerAddress = encodeURIComponent(serverAddress);
+    let url;
+    switch (type) {
+      case 'ama':
+        url = `ama://set-api-key?server=${encodedServerAddress}&key=sk-${key}`;
+        break;
+      case 'opencat':
+        url = `opencat://team/join?domain=${encodedServerAddress}&token=sk-${key}`;
+        break;
+      case 'next':
+        url = `https://chat.oneapi.pro/#/?settings=%7B%22key%22:%22sk-${key}%22,%22url%22:%22${serverAddress}%22%7D`;
+        break;
+      default:
+        url = `sk-${key}`;
+    }
+    if (await copy(url)) {
+      showSuccess('已复制到剪贴板！');
+    } else {
+      showWarning('无法复制到剪贴板，请手动复制，已将令牌填入搜索框。');
+      setSearchKeyword(url);
+    }
+  };
 
   useEffect(() => {
     loadTokens(0)
@@ -235,21 +274,28 @@ const TokensTable = () => {
                   <Table.Cell>{token.expired_time === -1 ? '永不过期' : renderTimestamp(token.expired_time)}</Table.Cell>
                   <Table.Cell>
                     <div>
-                      <Button
-                        size={'small'}
-                        positive
-                        onClick={async () => {
-                          let key = "sk-" + token.key;
-                          if (await copy(key)) {
-                            showSuccess('已复制到剪贴板！');
-                          } else {
-                            showWarning('无法复制到剪贴板，请手动复制，已将令牌填入搜索框。');
-                            setSearchKeyword(key);
+                      <Button.Group color='green' size={'small'}>
+                        <Button
+                          size={'small'}
+                          positive
+                          onClick={async () => {
+                            await onCopy('', token.key);
                           }
-                        }}
-                      >
-                        复制
-                      </Button>
+                          }
+                        >
+                          复制
+                        </Button>
+                        <Dropdown
+                          className='button icon'
+                          floating
+                          options={COPY_OPTIONS}
+                          onChange={async (e, { value } = {}) => {
+                            await onCopy(value, token.key);
+                          }}
+                          trigger={<></>}
+                        />
+                      </Button.Group>
+                      {' '}
                       <Popup
                         trigger={
                           <Button size='small' negative>