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14 Commits
v0.5.2-alp
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v0.5.4-alp
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8fb082ba3b |
@@ -52,7 +52,7 @@ _✨ 標準的な OpenAI API フォーマットを通じてすべての LLM に
|
||||
|
||||
> **警告**: この README は ChatGPT によって翻訳されています。翻訳ミスを発見した場合は遠慮なく PR を投稿してください。
|
||||
|
||||
> **警告**: 英語版の Docker イメージは `justsong/one-api-ja` です。
|
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> **警告**: 英語版の Docker イメージは `justsong/one-api-en` です。
|
||||
|
||||
> **注**: Docker からプルされた最新のイメージは、`alpha` リリースかもしれません。安定性が必要な場合は、手動でバージョンを指定してください。
|
||||
|
||||
@@ -89,7 +89,7 @@ _✨ 標準的な OpenAI API フォーマットを通じてすべての LLM に
|
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|
||||
## デプロイメント
|
||||
### Docker デプロイメント
|
||||
デプロイコマンド: `docker run --name one-api -d --restart always -p 3000:3000 -e TZ=Asia/Shanghai -v /home/ubuntu/data/one-api:/data justsong/one-api-ja`。
|
||||
デプロイコマンド: `docker run --name one-api -d --restart always -p 3000:3000 -e TZ=Asia/Shanghai -v /home/ubuntu/data/one-api:/data justsong/one-api-en`。
|
||||
|
||||
コマンドを更新する: `docker run --rm -v /var/run/docker.sock:/var/run/docker.sock containrr/watchtower -cR`。
|
||||
|
||||
|
||||
10
README.md
10
README.md
@@ -51,11 +51,13 @@ _✨ 通过标准的 OpenAI API 格式访问所有的大模型,开箱即用
|
||||
<a href="https://iamazing.cn/page/reward">赞赏支持</a>
|
||||
</p>
|
||||
|
||||
> **Note**:本项目为开源项目,使用者必须在遵循 OpenAI 的[使用条款](https://openai.com/policies/terms-of-use)以及**法律法规**的情况下使用,不得用于非法用途。
|
||||
> **Note**
|
||||
> 本项目为开源项目,使用者必须在遵循 OpenAI 的[使用条款](https://openai.com/policies/terms-of-use)以及**法律法规**的情况下使用,不得用于非法用途。
|
||||
>
|
||||
> 根据[《生成式人工智能服务管理暂行办法》](http://www.cac.gov.cn/2023-07/13/c_1690898327029107.htm)的要求,请勿对中国地区公众提供一切未经备案的生成式人工智能服务。
|
||||
|
||||
> **Note**:使用 Docker 拉取的最新镜像可能是 `alpha` 版本,如果追求稳定性请手动指定版本。
|
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|
||||
> **Warning**:从 `v0.3` 版本升级到 `v0.4` 版本需要手动迁移数据库,请手动执行[数据库迁移脚本](./bin/migration_v0.3-v0.4.sql)。
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||||
> **Warning**
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||||
> 使用 Docker 拉取的最新镜像可能是 `alpha` 版本,如果追求稳定性请手动指定版本。
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## 功能
|
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1. 支持多种大模型:
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|
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@@ -1,6 +1,9 @@
|
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package common
|
||||
|
||||
import "encoding/json"
|
||||
import (
|
||||
"encoding/json"
|
||||
"strings"
|
||||
)
|
||||
|
||||
// ModelRatio
|
||||
// https://platform.openai.com/docs/models/model-endpoint-compatibility
|
||||
@@ -38,8 +41,8 @@ var ModelRatio = map[string]float64{
|
||||
"text-moderation-stable": 0.1,
|
||||
"text-moderation-latest": 0.1,
|
||||
"dall-e": 8,
|
||||
"claude-instant-1": 0.75,
|
||||
"claude-2": 30,
|
||||
"claude-instant-1": 0.815, // $1.63 / 1M tokens
|
||||
"claude-2": 5.51, // $11.02 / 1M tokens
|
||||
"ERNIE-Bot": 0.8572, // ¥0.012 / 1k tokens
|
||||
"ERNIE-Bot-turbo": 0.5715, // ¥0.008 / 1k tokens
|
||||
"Embedding-V1": 0.1429, // ¥0.002 / 1k tokens
|
||||
@@ -73,3 +76,19 @@ func GetModelRatio(name string) float64 {
|
||||
}
|
||||
return ratio
|
||||
}
|
||||
|
||||
func GetCompletionRatio(name string) float64 {
|
||||
if strings.HasPrefix(name, "gpt-3.5") {
|
||||
return 1.333333
|
||||
}
|
||||
if strings.HasPrefix(name, "gpt-4") {
|
||||
return 2
|
||||
}
|
||||
if strings.HasPrefix(name, "claude-instant-1") {
|
||||
return 3.38
|
||||
}
|
||||
if strings.HasPrefix(name, "claude-2") {
|
||||
return 2.965517
|
||||
}
|
||||
return 1
|
||||
}
|
||||
|
||||
@@ -174,7 +174,7 @@ func testAllChannels(notify bool) error {
|
||||
err = errors.New(fmt.Sprintf("响应时间 %.2fs 超过阈值 %.2fs", float64(milliseconds)/1000.0, float64(disableThreshold)/1000.0))
|
||||
disableChannel(channel.Id, channel.Name, err.Error())
|
||||
}
|
||||
if shouldDisableChannel(openaiErr) {
|
||||
if shouldDisableChannel(openaiErr, -1) {
|
||||
disableChannel(channel.Id, channel.Name, err.Error())
|
||||
}
|
||||
channel.UpdateResponseTime(milliseconds)
|
||||
|
||||
@@ -177,9 +177,11 @@ func aliStreamHandler(c *gin.Context, resp *http.Response) (*OpenAIErrorWithStat
|
||||
common.SysError("error unmarshalling stream response: " + err.Error())
|
||||
return true
|
||||
}
|
||||
usage.PromptTokens += aliResponse.Usage.InputTokens
|
||||
usage.CompletionTokens += aliResponse.Usage.OutputTokens
|
||||
usage.TotalTokens += aliResponse.Usage.InputTokens + aliResponse.Usage.OutputTokens
|
||||
if aliResponse.Usage.OutputTokens != 0 {
|
||||
usage.PromptTokens = aliResponse.Usage.InputTokens
|
||||
usage.CompletionTokens = aliResponse.Usage.OutputTokens
|
||||
usage.TotalTokens = aliResponse.Usage.InputTokens + aliResponse.Usage.OutputTokens
|
||||
}
|
||||
response := streamResponseAli2OpenAI(&aliResponse)
|
||||
response.Choices[0].Delta.Content = strings.TrimPrefix(response.Choices[0].Delta.Content, lastResponseText)
|
||||
lastResponseText = aliResponse.Output.Text
|
||||
|
||||
@@ -215,9 +215,11 @@ func baiduStreamHandler(c *gin.Context, resp *http.Response) (*OpenAIErrorWithSt
|
||||
common.SysError("error unmarshalling stream response: " + err.Error())
|
||||
return true
|
||||
}
|
||||
usage.PromptTokens += baiduResponse.Usage.PromptTokens
|
||||
usage.CompletionTokens += baiduResponse.Usage.CompletionTokens
|
||||
usage.TotalTokens += baiduResponse.Usage.TotalTokens
|
||||
if baiduResponse.Usage.TotalTokens != 0 {
|
||||
usage.TotalTokens = baiduResponse.Usage.TotalTokens
|
||||
usage.PromptTokens = baiduResponse.Usage.PromptTokens
|
||||
usage.CompletionTokens = baiduResponse.Usage.TotalTokens - baiduResponse.Usage.PromptTokens
|
||||
}
|
||||
response := streamResponseBaidu2OpenAI(&baiduResponse)
|
||||
jsonResponse, err := json.Marshal(response)
|
||||
if err != nil {
|
||||
|
||||
@@ -315,6 +315,10 @@ func relayTextHelper(c *gin.Context, relayMode int) *OpenAIErrorWithStatusCode {
|
||||
return errorWrapper(err, "close_request_body_failed", http.StatusInternalServerError)
|
||||
}
|
||||
isStream = isStream || strings.HasPrefix(resp.Header.Get("Content-Type"), "text/event-stream")
|
||||
|
||||
if resp.StatusCode != http.StatusOK {
|
||||
return relayErrorHandler(resp)
|
||||
}
|
||||
}
|
||||
|
||||
var textResponse TextResponse
|
||||
@@ -326,14 +330,7 @@ func relayTextHelper(c *gin.Context, relayMode int) *OpenAIErrorWithStatusCode {
|
||||
go func() {
|
||||
if consumeQuota {
|
||||
quota := 0
|
||||
completionRatio := 1.0
|
||||
if strings.HasPrefix(textRequest.Model, "gpt-3.5") {
|
||||
completionRatio = 1.333333
|
||||
}
|
||||
if strings.HasPrefix(textRequest.Model, "gpt-4") {
|
||||
completionRatio = 2
|
||||
}
|
||||
|
||||
completionRatio := common.GetCompletionRatio(textRequest.Model)
|
||||
promptTokens = textResponse.Usage.PromptTokens
|
||||
completionTokens = textResponse.Usage.CompletionTokens
|
||||
|
||||
|
||||
@@ -1,10 +1,14 @@
|
||||
package controller
|
||||
|
||||
import (
|
||||
"encoding/json"
|
||||
"fmt"
|
||||
"github.com/gin-gonic/gin"
|
||||
"github.com/pkoukk/tiktoken-go"
|
||||
"io"
|
||||
"net/http"
|
||||
"one-api/common"
|
||||
"strconv"
|
||||
)
|
||||
|
||||
var stopFinishReason = "stop"
|
||||
@@ -95,13 +99,16 @@ func errorWrapper(err error, code string, statusCode int) *OpenAIErrorWithStatus
|
||||
}
|
||||
}
|
||||
|
||||
func shouldDisableChannel(err *OpenAIError) bool {
|
||||
func shouldDisableChannel(err *OpenAIError, statusCode int) bool {
|
||||
if !common.AutomaticDisableChannelEnabled {
|
||||
return false
|
||||
}
|
||||
if err == nil {
|
||||
return false
|
||||
}
|
||||
if statusCode == http.StatusUnauthorized {
|
||||
return true
|
||||
}
|
||||
if err.Type == "insufficient_quota" || err.Code == "invalid_api_key" || err.Code == "account_deactivated" {
|
||||
return true
|
||||
}
|
||||
@@ -115,3 +122,30 @@ func setEventStreamHeaders(c *gin.Context) {
|
||||
c.Writer.Header().Set("Transfer-Encoding", "chunked")
|
||||
c.Writer.Header().Set("X-Accel-Buffering", "no")
|
||||
}
|
||||
|
||||
func relayErrorHandler(resp *http.Response) (openAIErrorWithStatusCode *OpenAIErrorWithStatusCode) {
|
||||
openAIErrorWithStatusCode = &OpenAIErrorWithStatusCode{
|
||||
StatusCode: resp.StatusCode,
|
||||
OpenAIError: OpenAIError{
|
||||
Message: fmt.Sprintf("bad response status code %d", resp.StatusCode),
|
||||
Type: "one_api_error",
|
||||
Code: "bad_response_status_code",
|
||||
Param: strconv.Itoa(resp.StatusCode),
|
||||
},
|
||||
}
|
||||
responseBody, err := io.ReadAll(resp.Body)
|
||||
if err != nil {
|
||||
return
|
||||
}
|
||||
err = resp.Body.Close()
|
||||
if err != nil {
|
||||
return
|
||||
}
|
||||
var textResponse TextResponse
|
||||
err = json.Unmarshal(responseBody, &textResponse)
|
||||
if err != nil {
|
||||
return
|
||||
}
|
||||
openAIErrorWithStatusCode.OpenAIError = textResponse.Error
|
||||
return
|
||||
}
|
||||
|
||||
@@ -75,7 +75,7 @@ type XunfeiChatResponse struct {
|
||||
} `json:"payload"`
|
||||
}
|
||||
|
||||
func requestOpenAI2Xunfei(request GeneralOpenAIRequest, xunfeiAppId string) *XunfeiChatRequest {
|
||||
func requestOpenAI2Xunfei(request GeneralOpenAIRequest, xunfeiAppId string, domain string) *XunfeiChatRequest {
|
||||
messages := make([]XunfeiMessage, 0, len(request.Messages))
|
||||
for _, message := range request.Messages {
|
||||
if message.Role == "system" {
|
||||
@@ -96,7 +96,7 @@ func requestOpenAI2Xunfei(request GeneralOpenAIRequest, xunfeiAppId string) *Xun
|
||||
}
|
||||
xunfeiRequest := XunfeiChatRequest{}
|
||||
xunfeiRequest.Header.AppId = xunfeiAppId
|
||||
xunfeiRequest.Parameter.Chat.Domain = "general"
|
||||
xunfeiRequest.Parameter.Chat.Domain = domain
|
||||
xunfeiRequest.Parameter.Chat.Temperature = request.Temperature
|
||||
xunfeiRequest.Parameter.Chat.TopK = request.N
|
||||
xunfeiRequest.Parameter.Chat.MaxTokens = request.MaxTokens
|
||||
@@ -178,15 +178,28 @@ func buildXunfeiAuthUrl(hostUrl string, apiKey, apiSecret string) string {
|
||||
|
||||
func xunfeiStreamHandler(c *gin.Context, textRequest GeneralOpenAIRequest, appId string, apiSecret string, apiKey string) (*OpenAIErrorWithStatusCode, *Usage) {
|
||||
var usage Usage
|
||||
query := c.Request.URL.Query()
|
||||
apiVersion := query.Get("api-version")
|
||||
if apiVersion == "" {
|
||||
apiVersion = c.GetString("api_version")
|
||||
}
|
||||
if apiVersion == "" {
|
||||
apiVersion = "v1.1"
|
||||
common.SysLog("api_version not found, use default: " + apiVersion)
|
||||
}
|
||||
domain := "general"
|
||||
if apiVersion == "v2.1" {
|
||||
domain = "generalv2"
|
||||
}
|
||||
hostUrl := fmt.Sprintf("wss://spark-api.xf-yun.com/%s/chat", apiVersion)
|
||||
d := websocket.Dialer{
|
||||
HandshakeTimeout: 5 * time.Second,
|
||||
}
|
||||
hostUrl := "wss://aichat.xf-yun.com/v1/chat"
|
||||
conn, resp, err := d.Dial(buildXunfeiAuthUrl(hostUrl, apiKey, apiSecret), nil)
|
||||
if err != nil || resp.StatusCode != 101 {
|
||||
return errorWrapper(err, "dial_failed", http.StatusInternalServerError), nil
|
||||
}
|
||||
data := requestOpenAI2Xunfei(textRequest, appId)
|
||||
data := requestOpenAI2Xunfei(textRequest, appId, domain)
|
||||
err = conn.WriteJSON(data)
|
||||
if err != nil {
|
||||
return errorWrapper(err, "write_json_failed", http.StatusInternalServerError), nil
|
||||
|
||||
@@ -185,7 +185,7 @@ func Relay(c *gin.Context) {
|
||||
channelId := c.GetInt("channel_id")
|
||||
common.SysError(fmt.Sprintf("relay error (channel #%d): %s", channelId, err.Message))
|
||||
// https://platform.openai.com/docs/guides/error-codes/api-errors
|
||||
if shouldDisableChannel(&err.OpenAIError) {
|
||||
if shouldDisableChannel(&err.OpenAIError, err.StatusCode) {
|
||||
channelId := c.GetInt("channel_id")
|
||||
channelName := c.GetString("channel_name")
|
||||
disableChannel(channelId, channelName, err.Message)
|
||||
|
||||
@@ -520,5 +520,8 @@
|
||||
"代理": "Proxy",
|
||||
"此项可选,用于通过代理站来进行 API 调用,请输入代理站地址,格式为:https://domain.com": "This is optional, used to make API calls through the proxy site, please enter the proxy site address, the format is: https://domain.com",
|
||||
"取消密码登录将导致所有未绑定其他登录方式的用户(包括管理员)无法通过密码登录,确认取消?": "Canceling password login will cause all users (including administrators) who have not bound other login methods to be unable to log in via password, confirm cancel?",
|
||||
"按照如下格式输入:": "Enter in the following format:"
|
||||
"按照如下格式输入:": "Enter in the following format:",
|
||||
"模型版本": "Model version",
|
||||
"请输入星火大模型版本,注意是接口地址中的版本号,例如:v2.1": "Please enter the version of the Starfire model, note that it is the version number in the interface address, for example: v2.1",
|
||||
"点击查看": "click to view"
|
||||
}
|
||||
|
||||
@@ -107,7 +107,7 @@ func Distribute() func(c *gin.Context) {
|
||||
c.Set("model_mapping", channel.ModelMapping)
|
||||
c.Request.Header.Set("Authorization", fmt.Sprintf("Bearer %s", channel.Key))
|
||||
c.Set("base_url", channel.BaseURL)
|
||||
if channel.Type == common.ChannelTypeAzure {
|
||||
if channel.Type == common.ChannelTypeAzure || channel.Type == common.ChannelTypeXunfei {
|
||||
c.Set("api_version", channel.Other)
|
||||
}
|
||||
c.Next()
|
||||
|
||||
@@ -43,6 +43,7 @@ function renderType(type) {
|
||||
|
||||
const LogsTable = () => {
|
||||
const [logs, setLogs] = useState([]);
|
||||
const [showStat, setShowStat] = useState(false);
|
||||
const [loading, setLoading] = useState(true);
|
||||
const [activePage, setActivePage] = useState(1);
|
||||
const [searchKeyword, setSearchKeyword] = useState('');
|
||||
@@ -92,6 +93,17 @@ const LogsTable = () => {
|
||||
}
|
||||
};
|
||||
|
||||
const handleEyeClick = async () => {
|
||||
if (!showStat) {
|
||||
if (isAdminUser) {
|
||||
await getLogStat();
|
||||
} else {
|
||||
await getLogSelfStat();
|
||||
}
|
||||
}
|
||||
setShowStat(!showStat);
|
||||
};
|
||||
|
||||
const loadLogs = async (startIdx) => {
|
||||
let url = '';
|
||||
let localStartTimestamp = Date.parse(start_timestamp) / 1000;
|
||||
@@ -129,13 +141,8 @@ const LogsTable = () => {
|
||||
|
||||
const refresh = async () => {
|
||||
setLoading(true);
|
||||
setActivePage(1)
|
||||
setActivePage(1);
|
||||
await loadLogs(0);
|
||||
if (isAdminUser) {
|
||||
getLogStat().then();
|
||||
} else {
|
||||
getLogSelfStat().then();
|
||||
}
|
||||
};
|
||||
|
||||
useEffect(() => {
|
||||
@@ -169,7 +176,7 @@ const LogsTable = () => {
|
||||
if (logs.length === 0) return;
|
||||
setLoading(true);
|
||||
let sortedLogs = [...logs];
|
||||
if (typeof sortedLogs[0][key] === 'string'){
|
||||
if (typeof sortedLogs[0][key] === 'string') {
|
||||
sortedLogs.sort((a, b) => {
|
||||
return ('' + a[key]).localeCompare(b[key]);
|
||||
});
|
||||
@@ -190,7 +197,12 @@ const LogsTable = () => {
|
||||
return (
|
||||
<>
|
||||
<Segment>
|
||||
<Header as='h3'>使用明细(总消耗额度:{renderQuota(stat.quota)})</Header>
|
||||
<Header as='h3'>
|
||||
使用明细(总消耗额度:
|
||||
{showStat && renderQuota(stat.quota)}
|
||||
{!showStat && <span onClick={handleEyeClick} style={{ cursor: 'pointer', color: 'gray' }}>点击查看</span>}
|
||||
)
|
||||
</Header>
|
||||
<Form>
|
||||
<Form.Group>
|
||||
{
|
||||
|
||||
@@ -163,6 +163,9 @@ const EditChannel = () => {
|
||||
if (localInputs.type === 3 && localInputs.other === '') {
|
||||
localInputs.other = '2023-06-01-preview';
|
||||
}
|
||||
if (localInputs.type === 18 && localInputs.other === '') {
|
||||
localInputs.other = 'v2.1';
|
||||
}
|
||||
if (localInputs.model_mapping === '') {
|
||||
localInputs.model_mapping = '{}';
|
||||
}
|
||||
@@ -275,6 +278,20 @@ const EditChannel = () => {
|
||||
options={groupOptions}
|
||||
/>
|
||||
</Form.Field>
|
||||
{
|
||||
inputs.type === 18 && (
|
||||
<Form.Field>
|
||||
<Form.Input
|
||||
label='模型版本'
|
||||
name='other'
|
||||
placeholder={'请输入星火大模型版本,注意是接口地址中的版本号,例如:v2.1'}
|
||||
onChange={handleInputChange}
|
||||
value={inputs.other}
|
||||
autoComplete='new-password'
|
||||
/>
|
||||
</Form.Field>
|
||||
)
|
||||
}
|
||||
<Form.Field>
|
||||
<Form.Dropdown
|
||||
label='模型'
|
||||
|
||||
Reference in New Issue
Block a user