mirror of
https://github.com/songquanpeng/one-api.git
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Compare commits
5 Commits
v0.5.4-alp
...
v0.5.5-alp
Author | SHA1 | Date | |
---|---|---|---|
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f0d5e102a3 | ||
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abbf2fded0 | ||
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ef2c5abb5b | ||
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56b5007379 | ||
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d09d317459 |
@@ -109,6 +109,8 @@ _✨ 通过标准的 OpenAI API 格式访问所有的大模型,开箱即用
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数据将会保存在宿主机的 `/home/ubuntu/data/one-api` 目录,请确保该目录存在且具有写入权限,或者更改为合适的目录。
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如果启动失败,请添加 `--privileged=true`,具体参考 #482。
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如果上面的镜像无法拉取,可以尝试使用 GitHub 的 Docker 镜像,将上面的 `justsong/one-api` 替换为 `ghcr.io/songquanpeng/one-api` 即可。
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如果你的并发量较大,**务必**设置 `SQL_DSN`,详见下面[环境变量](#环境变量)一节。
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@@ -275,8 +277,9 @@ graph LR
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不加的话将会使用负载均衡的方式使用多个渠道。
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### 环境变量
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1. `REDIS_CONN_STRING`:设置之后将使用 Redis 作为请求频率限制的存储,而非使用内存存储。
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1. `REDIS_CONN_STRING`:设置之后将使用 Redis 作为缓存使用。
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+ 例子:`REDIS_CONN_STRING=redis://default:redispw@localhost:49153`
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+ 如果数据库访问延迟很低,没有必要启用 Redis,启用后反而会出现数据滞后的问题。
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2. `SESSION_SECRET`:设置之后将使用固定的会话密钥,这样系统重新启动后已登录用户的 cookie 将依旧有效。
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+ 例子:`SESSION_SECRET=random_string`
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3. `SQL_DSN`:设置之后将使用指定数据库而非 SQLite,请使用 MySQL 或 PostgreSQL。
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@@ -339,6 +342,7 @@ https://openai.justsong.cn
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5. ChatGPT Next Web 报错:`Failed to fetch`
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+ 部署的时候不要设置 `BASE_URL`。
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+ 检查你的接口地址和 API Key 有没有填对。
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+ 检查是否启用了 HTTPS,浏览器会拦截 HTTPS 域名下的 HTTP 请求。
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6. 报错:`当前分组负载已饱和,请稍后再试`
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+ 上游通道 429 了。
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@@ -154,26 +154,27 @@ const (
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)
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const (
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ChannelTypeUnknown = 0
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ChannelTypeOpenAI = 1
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ChannelTypeAPI2D = 2
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ChannelTypeAzure = 3
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ChannelTypeCloseAI = 4
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ChannelTypeOpenAISB = 5
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ChannelTypeOpenAIMax = 6
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ChannelTypeOhMyGPT = 7
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ChannelTypeCustom = 8
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ChannelTypeAILS = 9
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ChannelTypeAIProxy = 10
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ChannelTypePaLM = 11
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ChannelTypeAPI2GPT = 12
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ChannelTypeAIGC2D = 13
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ChannelTypeAnthropic = 14
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ChannelTypeBaidu = 15
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ChannelTypeZhipu = 16
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ChannelTypeAli = 17
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ChannelTypeXunfei = 18
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ChannelType360 = 19
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ChannelTypeUnknown = 0
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ChannelTypeOpenAI = 1
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ChannelTypeAPI2D = 2
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ChannelTypeAzure = 3
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ChannelTypeCloseAI = 4
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ChannelTypeOpenAISB = 5
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ChannelTypeOpenAIMax = 6
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ChannelTypeOhMyGPT = 7
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ChannelTypeCustom = 8
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ChannelTypeAILS = 9
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ChannelTypeAIProxy = 10
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ChannelTypePaLM = 11
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ChannelTypeAPI2GPT = 12
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ChannelTypeAIGC2D = 13
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ChannelTypeAnthropic = 14
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ChannelTypeBaidu = 15
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ChannelTypeZhipu = 16
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ChannelTypeAli = 17
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ChannelTypeXunfei = 18
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ChannelType360 = 19
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ChannelTypeOpenRouter = 20
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)
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var ChannelBaseURLs = []string{
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@@ -197,4 +198,5 @@ var ChannelBaseURLs = []string{
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"https://dashscope.aliyuncs.com", // 17
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"", // 18
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"https://ai.360.cn", // 19
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"https://openrouter.ai/api", // 20
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}
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|
@@ -31,7 +31,7 @@ var ModelRatio = map[string]float64{
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"text-davinci-003": 10,
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"text-davinci-edit-001": 10,
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"code-davinci-edit-001": 10,
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"whisper-1": 10,
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"whisper-1": 15, // $0.006 / minute -> $0.006 / 150 words -> $0.006 / 200 tokens -> $0.03 / 1k tokens
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"davinci": 10,
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"curie": 10,
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"babbage": 10,
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@@ -85,7 +85,7 @@ func AddChannel(c *gin.Context) {
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}
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channel.CreatedTime = common.GetTimestamp()
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keys := strings.Split(channel.Key, "\n")
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channels := make([]model.Channel, 0)
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channels := make([]model.Channel, 0, len(keys))
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for _, key := range keys {
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if key == "" {
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continue
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|
@@ -63,6 +63,15 @@ func init() {
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Root: "dall-e",
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Parent: nil,
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},
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{
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Id: "whisper-1",
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Object: "model",
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Created: 1677649963,
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OwnedBy: "openai",
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Permission: permission,
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Root: "whisper-1",
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Parent: nil,
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},
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{
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Id: "gpt-3.5-turbo",
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Object: "model",
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147
controller/relay-audio.go
Normal file
147
controller/relay-audio.go
Normal file
@@ -0,0 +1,147 @@
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package controller
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import (
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"bytes"
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"encoding/json"
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"fmt"
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"io"
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"net/http"
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"one-api/common"
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"one-api/model"
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"github.com/gin-gonic/gin"
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)
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func relayAudioHelper(c *gin.Context, relayMode int) *OpenAIErrorWithStatusCode {
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audioModel := "whisper-1"
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tokenId := c.GetInt("token_id")
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channelType := c.GetInt("channel")
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userId := c.GetInt("id")
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group := c.GetString("group")
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preConsumedTokens := common.PreConsumedQuota
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modelRatio := common.GetModelRatio(audioModel)
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groupRatio := common.GetGroupRatio(group)
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ratio := modelRatio * groupRatio
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preConsumedQuota := int(float64(preConsumedTokens) * ratio)
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userQuota, err := model.CacheGetUserQuota(userId)
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if err != nil {
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return errorWrapper(err, "get_user_quota_failed", http.StatusInternalServerError)
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}
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err = model.CacheDecreaseUserQuota(userId, preConsumedQuota)
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if err != nil {
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return errorWrapper(err, "decrease_user_quota_failed", http.StatusInternalServerError)
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}
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if userQuota > 100*preConsumedQuota {
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// in this case, we do not pre-consume quota
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// because the user has enough quota
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preConsumedQuota = 0
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}
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if preConsumedQuota > 0 {
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err := model.PreConsumeTokenQuota(tokenId, preConsumedQuota)
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if err != nil {
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return errorWrapper(err, "pre_consume_token_quota_failed", http.StatusForbidden)
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}
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}
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// map model name
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modelMapping := c.GetString("model_mapping")
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if modelMapping != "" {
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modelMap := make(map[string]string)
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err := json.Unmarshal([]byte(modelMapping), &modelMap)
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if err != nil {
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return errorWrapper(err, "unmarshal_model_mapping_failed", http.StatusInternalServerError)
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}
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if modelMap[audioModel] != "" {
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audioModel = modelMap[audioModel]
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}
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}
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baseURL := common.ChannelBaseURLs[channelType]
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requestURL := c.Request.URL.String()
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if c.GetString("base_url") != "" {
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baseURL = c.GetString("base_url")
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}
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fullRequestURL := fmt.Sprintf("%s%s", baseURL, requestURL)
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requestBody := c.Request.Body
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req, err := http.NewRequest(c.Request.Method, fullRequestURL, requestBody)
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if err != nil {
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return errorWrapper(err, "new_request_failed", http.StatusInternalServerError)
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}
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req.Header.Set("Authorization", c.Request.Header.Get("Authorization"))
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req.Header.Set("Content-Type", c.Request.Header.Get("Content-Type"))
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req.Header.Set("Accept", c.Request.Header.Get("Accept"))
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resp, err := httpClient.Do(req)
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if err != nil {
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return errorWrapper(err, "do_request_failed", http.StatusInternalServerError)
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}
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err = req.Body.Close()
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if err != nil {
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return errorWrapper(err, "close_request_body_failed", http.StatusInternalServerError)
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}
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err = c.Request.Body.Close()
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if err != nil {
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return errorWrapper(err, "close_request_body_failed", http.StatusInternalServerError)
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}
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var audioResponse AudioResponse
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defer func() {
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go func() {
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quota := countTokenText(audioResponse.Text, audioModel)
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quotaDelta := quota - preConsumedQuota
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err := model.PostConsumeTokenQuota(tokenId, quotaDelta)
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if err != nil {
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common.SysError("error consuming token remain quota: " + err.Error())
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}
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err = model.CacheUpdateUserQuota(userId)
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if err != nil {
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common.SysError("error update user quota cache: " + err.Error())
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}
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if quota != 0 {
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tokenName := c.GetString("token_name")
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logContent := fmt.Sprintf("模型倍率 %.2f,分组倍率 %.2f", modelRatio, groupRatio)
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model.RecordConsumeLog(userId, 0, 0, audioModel, tokenName, quota, logContent)
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model.UpdateUserUsedQuotaAndRequestCount(userId, quota)
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channelId := c.GetInt("channel_id")
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model.UpdateChannelUsedQuota(channelId, quota)
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}
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}()
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}()
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responseBody, err := io.ReadAll(resp.Body)
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if err != nil {
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return errorWrapper(err, "read_response_body_failed", http.StatusInternalServerError)
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}
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err = resp.Body.Close()
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if err != nil {
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return errorWrapper(err, "close_response_body_failed", http.StatusInternalServerError)
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}
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err = json.Unmarshal(responseBody, &audioResponse)
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if err != nil {
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return errorWrapper(err, "unmarshal_response_body_failed", http.StatusInternalServerError)
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}
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resp.Body = io.NopCloser(bytes.NewBuffer(responseBody))
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for k, v := range resp.Header {
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c.Writer.Header().Set(k, v[0])
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}
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c.Writer.WriteHeader(resp.StatusCode)
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_, err = io.Copy(c.Writer, resp.Body)
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if err != nil {
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return errorWrapper(err, "copy_response_body_failed", http.StatusInternalServerError)
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}
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err = resp.Body.Close()
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if err != nil {
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return errorWrapper(err, "close_response_body_failed", http.StatusInternalServerError)
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}
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return nil
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}
|
@@ -282,6 +282,10 @@ func relayTextHelper(c *gin.Context, relayMode int) *OpenAIErrorWithStatusCode {
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req.Header.Set("api-key", apiKey)
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} else {
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req.Header.Set("Authorization", c.Request.Header.Get("Authorization"))
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if channelType == common.ChannelTypeOpenRouter {
|
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req.Header.Set("HTTP-Referer", "https://github.com/songquanpeng/one-api")
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req.Header.Set("X-Title", "One API")
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}
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}
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case APITypeClaude:
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req.Header.Set("x-api-key", apiKey)
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|
@@ -24,6 +24,7 @@ const (
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RelayModeModerations
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RelayModeImagesGenerations
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RelayModeEdits
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RelayModeAudio
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)
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// https://platform.openai.com/docs/api-reference/chat
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@@ -63,6 +64,10 @@ type ImageRequest struct {
|
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Size string `json:"size"`
|
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}
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type AudioResponse struct {
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Text string `json:"text,omitempty"`
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}
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type Usage struct {
|
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PromptTokens int `json:"prompt_tokens"`
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CompletionTokens int `json:"completion_tokens"`
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@@ -159,11 +164,15 @@ func Relay(c *gin.Context) {
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relayMode = RelayModeImagesGenerations
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} else if strings.HasPrefix(c.Request.URL.Path, "/v1/edits") {
|
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relayMode = RelayModeEdits
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} else if strings.HasPrefix(c.Request.URL.Path, "/v1/audio") {
|
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relayMode = RelayModeAudio
|
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}
|
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var err *OpenAIErrorWithStatusCode
|
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switch relayMode {
|
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case RelayModeImagesGenerations:
|
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err = relayImageHelper(c, relayMode)
|
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case RelayModeAudio:
|
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err = relayAudioHelper(c, relayMode)
|
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default:
|
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err = relayTextHelper(c, relayMode)
|
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}
|
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|
@@ -58,7 +58,10 @@ func Distribute() func(c *gin.Context) {
|
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} else {
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// Select a channel for the user
|
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var modelRequest ModelRequest
|
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err := common.UnmarshalBodyReusable(c, &modelRequest)
|
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var err error
|
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if !strings.HasPrefix(c.Request.URL.Path, "/v1/audio") {
|
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err = common.UnmarshalBodyReusable(c, &modelRequest)
|
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}
|
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if err != nil {
|
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c.JSON(http.StatusBadRequest, gin.H{
|
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"error": gin.H{
|
||||
@@ -84,6 +87,11 @@ func Distribute() func(c *gin.Context) {
|
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modelRequest.Model = "dall-e"
|
||||
}
|
||||
}
|
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if strings.HasPrefix(c.Request.URL.Path, "/v1/audio") {
|
||||
if modelRequest.Model == "" {
|
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modelRequest.Model = "whisper-1"
|
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}
|
||||
}
|
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channel, err = model.CacheGetRandomSatisfiedChannel(userGroup, modelRequest.Model)
|
||||
if err != nil {
|
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message := fmt.Sprintf("当前分组 %s 下对于模型 %s 无可用渠道", userGroup, modelRequest.Model)
|
||||
|
@@ -26,8 +26,8 @@ func SetRelayRouter(router *gin.Engine) {
|
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relayV1Router.POST("/images/variations", controller.RelayNotImplemented)
|
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relayV1Router.POST("/embeddings", controller.Relay)
|
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relayV1Router.POST("/engines/:model/embeddings", controller.Relay)
|
||||
relayV1Router.POST("/audio/transcriptions", controller.RelayNotImplemented)
|
||||
relayV1Router.POST("/audio/translations", controller.RelayNotImplemented)
|
||||
relayV1Router.POST("/audio/transcriptions", controller.Relay)
|
||||
relayV1Router.POST("/audio/translations", controller.Relay)
|
||||
relayV1Router.GET("/files", controller.RelayNotImplemented)
|
||||
relayV1Router.POST("/files", controller.RelayNotImplemented)
|
||||
relayV1Router.DELETE("/files/:id", controller.RelayNotImplemented)
|
||||
|
@@ -324,7 +324,7 @@ const LogsTable = () => {
|
||||
.map((log, idx) => {
|
||||
if (log.deleted) return <></>;
|
||||
return (
|
||||
<Table.Row key={log.created_at}>
|
||||
<Table.Row key={log.id}>
|
||||
<Table.Cell>{renderTimestamp(log.created_at)}</Table.Cell>
|
||||
{
|
||||
isAdminUser && (
|
||||
|
@@ -9,6 +9,7 @@ export const CHANNEL_OPTIONS = [
|
||||
{ key: 16, text: '智谱 ChatGLM', value: 16, color: 'violet' },
|
||||
{ key: 19, text: '360 智脑', value: 19, color: 'blue' },
|
||||
{ key: 8, text: '自定义渠道', value: 8, color: 'pink' },
|
||||
{ key: 20, text: '代理:OpenRouter', value: 20, color: 'black' },
|
||||
{ key: 2, text: '代理:API2D', value: 2, color: 'blue' },
|
||||
{ key: 5, text: '代理:OpenAI-SB', value: 5, color: 'brown' },
|
||||
{ key: 7, text: '代理:OhMyGPT', value: 7, color: 'purple' },
|
||||
|
@@ -1,6 +1,6 @@
|
||||
import React, { useEffect, useState } from 'react';
|
||||
import { Button, Form, Header, Input, Message, Segment } from 'semantic-ui-react';
|
||||
import { useParams, useNavigate } from 'react-router-dom';
|
||||
import { useNavigate, useParams } from 'react-router-dom';
|
||||
import { API, showError, showInfo, showSuccess, verifyJSON } from '../../helpers';
|
||||
import { CHANNEL_OPTIONS } from '../../constants';
|
||||
|
||||
@@ -19,7 +19,7 @@ const EditChannel = () => {
|
||||
const handleCancel = () => {
|
||||
navigate('/channel');
|
||||
};
|
||||
|
||||
|
||||
const originInputs = {
|
||||
name: '',
|
||||
type: 1,
|
||||
@@ -62,7 +62,7 @@ const EditChannel = () => {
|
||||
localModels = ['SparkDesk'];
|
||||
break;
|
||||
case 19:
|
||||
localModels = ['360GPT_S2_V9', 'embedding-bert-512-v1', 'embedding_s1_v1', 'semantic_similarity_s1_v1', '360GPT_S2_V9.4']
|
||||
localModels = ['360GPT_S2_V9', 'embedding-bert-512-v1', 'embedding_s1_v1', 'semantic_similarity_s1_v1', '360GPT_S2_V9.4'];
|
||||
break;
|
||||
}
|
||||
setInputs((inputs) => ({ ...inputs, models: localModels }));
|
||||
|
Reference in New Issue
Block a user