mirror of
https://github.com/songquanpeng/one-api.git
synced 2025-10-23 01:43:42 +08:00
Compare commits
10 Commits
v0.5.1-alp
...
v0.5.2-alp
Author | SHA1 | Date | |
---|---|---|---|
|
ec88c0c240 | ||
|
065147b440 | ||
|
fe8f216dd9 | ||
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b7d0616ae0 | ||
|
ce9c8024a6 | ||
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8a866078b2 | ||
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3e81d8af45 | ||
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b8cb86c2c1 | ||
|
f45d586400 | ||
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50dec03ff3 |
@@ -64,6 +64,7 @@ _✨ 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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||||
+ [x] [Google PaLM2 系列模型](https://developers.generativeai.google)
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+ [x] [百度文心一言系列模型](https://cloud.baidu.com/doc/WENXINWORKSHOP/index.html)
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+ [x] [阿里通义千问系列模型](https://help.aliyun.com/document_detail/2400395.html)
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+ [x] [讯飞星火认知大模型](https://www.xfyun.cn/doc/spark/Web.html)
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+ [x] [智谱 ChatGLM 系列模型](https://bigmodel.cn)
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2. 支持配置镜像以及众多第三方代理服务:
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+ [x] [OpenAI-SB](https://openai-sb.com)
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|
@@ -157,6 +157,7 @@ const (
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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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)
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var ChannelBaseURLs = []string{
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@@ -178,4 +179,5 @@ var ChannelBaseURLs = []string{
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"https://aip.baidubce.com", // 15
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"https://open.bigmodel.cn", // 16
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"https://dashscope.aliyuncs.com", // 17
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"", // 18
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}
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|
@@ -49,6 +49,7 @@ var ModelRatio = map[string]float64{
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"chatglm_lite": 0.1429, // ¥0.002 / 1k tokens
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"qwen-v1": 0.8572, // TBD: https://help.aliyun.com/document_detail/2399482.html?spm=a2c4g.2399482.0.0.1ad347feilAgag
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"qwen-plus-v1": 0.5715, // Same as above
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"SparkDesk": 0.8572, // TBD
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}
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func ModelRatio2JSONString() string {
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|
@@ -23,6 +23,8 @@ func testChannel(channel *model.Channel, request ChatRequest) (error, *OpenAIErr
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case common.ChannelTypeBaidu:
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fallthrough
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case common.ChannelTypeZhipu:
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fallthrough
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case common.ChannelTypeXunfei:
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return errors.New("该渠道类型当前版本不支持测试,请手动测试"), nil
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case common.ChannelTypeAzure:
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request.Model = "gpt-35-turbo"
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|
@@ -351,6 +351,15 @@ func init() {
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Root: "qwen-plus-v1",
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Parent: nil,
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},
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{
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Id: "SparkDesk",
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Object: "model",
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Created: 1677649963,
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OwnedBy: "xunfei",
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Permission: permission,
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Root: "SparkDesk",
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Parent: nil,
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},
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}
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openAIModelsMap = make(map[string]OpenAIModels)
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for _, model := range openAIModels {
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|
@@ -21,6 +21,7 @@ const (
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APITypeBaidu
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APITypeZhipu
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APITypeAli
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APITypeXunfei
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)
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var httpClient *http.Client
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@@ -74,7 +75,7 @@ func relayTextHelper(c *gin.Context, relayMode int) *OpenAIErrorWithStatusCode {
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// map model name
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modelMapping := c.GetString("model_mapping")
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isModelMapped := false
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if modelMapping != "" {
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if modelMapping != "" && 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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@@ -97,7 +98,8 @@ func relayTextHelper(c *gin.Context, relayMode int) *OpenAIErrorWithStatusCode {
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apiType = APITypeZhipu
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case common.ChannelTypeAli:
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apiType = APITypeAli
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case common.ChannelTypeXunfei:
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apiType = APITypeXunfei
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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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@@ -250,53 +252,60 @@ func relayTextHelper(c *gin.Context, relayMode int) *OpenAIErrorWithStatusCode {
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}
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requestBody = bytes.NewBuffer(jsonStr)
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}
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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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apiKey := c.Request.Header.Get("Authorization")
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apiKey = strings.TrimPrefix(apiKey, "Bearer ")
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switch apiType {
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case APITypeOpenAI:
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if channelType == common.ChannelTypeAzure {
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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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var req *http.Request
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var resp *http.Response
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isStream := textRequest.Stream
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if apiType != APITypeXunfei { // cause xunfei use websocket
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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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case APITypeClaude:
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req.Header.Set("x-api-key", apiKey)
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anthropicVersion := c.Request.Header.Get("anthropic-version")
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if anthropicVersion == "" {
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anthropicVersion = "2023-06-01"
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apiKey := c.Request.Header.Get("Authorization")
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apiKey = strings.TrimPrefix(apiKey, "Bearer ")
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switch apiType {
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case APITypeOpenAI:
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if channelType == common.ChannelTypeAzure {
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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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}
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case APITypeClaude:
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req.Header.Set("x-api-key", apiKey)
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anthropicVersion := c.Request.Header.Get("anthropic-version")
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if anthropicVersion == "" {
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anthropicVersion = "2023-06-01"
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}
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req.Header.Set("anthropic-version", anthropicVersion)
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case APITypeZhipu:
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token := getZhipuToken(apiKey)
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req.Header.Set("Authorization", token)
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case APITypeAli:
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req.Header.Set("Authorization", "Bearer "+apiKey)
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if textRequest.Stream {
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req.Header.Set("X-DashScope-SSE", "enable")
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}
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}
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req.Header.Set("anthropic-version", anthropicVersion)
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case APITypeZhipu:
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token := getZhipuToken(apiKey)
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req.Header.Set("Authorization", token)
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case APITypeAli:
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req.Header.Set("Authorization", "Bearer "+apiKey)
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if textRequest.Stream {
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req.Header.Set("X-DashScope-SSE", "enable")
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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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//req.Header.Set("Connection", c.Request.Header.Get("Connection"))
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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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isStream = strings.HasPrefix(resp.Header.Get("Content-Type"), "text/event-stream")
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}
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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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//req.Header.Set("Connection", c.Request.Header.Get("Connection"))
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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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||||
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||||
var textResponse TextResponse
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isStream := strings.HasPrefix(resp.Header.Get("Content-Type"), "text/event-stream")
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var streamResponseText string
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||||
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defer func() {
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if consumeQuota {
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@@ -308,16 +317,10 @@ func relayTextHelper(c *gin.Context, relayMode int) *OpenAIErrorWithStatusCode {
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if strings.HasPrefix(textRequest.Model, "gpt-4") {
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completionRatio = 2
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}
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if isStream && apiType != APITypeBaidu && apiType != APITypeZhipu && apiType != APITypeAli {
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completionTokens = countTokenText(streamResponseText, textRequest.Model)
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} else {
|
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promptTokens = textResponse.Usage.PromptTokens
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completionTokens = textResponse.Usage.CompletionTokens
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||||
if apiType == APITypeZhipu {
|
||||
// zhipu's API does not return prompt tokens & completion tokens
|
||||
promptTokens = textResponse.Usage.TotalTokens
|
||||
}
|
||||
}
|
||||
|
||||
promptTokens = textResponse.Usage.PromptTokens
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||||
completionTokens = textResponse.Usage.CompletionTokens
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|
||||
quota = promptTokens + int(float64(completionTokens)*completionRatio)
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quota = int(float64(quota) * ratio)
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||||
if ratio != 0 && quota <= 0 {
|
||||
@@ -355,7 +358,8 @@ func relayTextHelper(c *gin.Context, relayMode int) *OpenAIErrorWithStatusCode {
|
||||
if err != nil {
|
||||
return err
|
||||
}
|
||||
streamResponseText = responseText
|
||||
textResponse.Usage.PromptTokens = promptTokens
|
||||
textResponse.Usage.CompletionTokens = countTokenText(responseText, textRequest.Model)
|
||||
return nil
|
||||
} else {
|
||||
err, usage := openaiHandler(c, resp, consumeQuota)
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||||
@@ -373,7 +377,8 @@ func relayTextHelper(c *gin.Context, relayMode int) *OpenAIErrorWithStatusCode {
|
||||
if err != nil {
|
||||
return err
|
||||
}
|
||||
streamResponseText = responseText
|
||||
textResponse.Usage.PromptTokens = promptTokens
|
||||
textResponse.Usage.CompletionTokens = countTokenText(responseText, textRequest.Model)
|
||||
return nil
|
||||
} else {
|
||||
err, usage := claudeHandler(c, resp, promptTokens, textRequest.Model)
|
||||
@@ -418,7 +423,8 @@ func relayTextHelper(c *gin.Context, relayMode int) *OpenAIErrorWithStatusCode {
|
||||
if err != nil {
|
||||
return err
|
||||
}
|
||||
streamResponseText = responseText
|
||||
textResponse.Usage.PromptTokens = promptTokens
|
||||
textResponse.Usage.CompletionTokens = countTokenText(responseText, textRequest.Model)
|
||||
return nil
|
||||
} else {
|
||||
err, usage := palmHandler(c, resp, promptTokens, textRequest.Model)
|
||||
@@ -439,6 +445,8 @@ func relayTextHelper(c *gin.Context, relayMode int) *OpenAIErrorWithStatusCode {
|
||||
if usage != nil {
|
||||
textResponse.Usage = *usage
|
||||
}
|
||||
// zhipu's API does not return prompt tokens & completion tokens
|
||||
textResponse.Usage.PromptTokens = textResponse.Usage.TotalTokens
|
||||
return nil
|
||||
} else {
|
||||
err, usage := zhipuHandler(c, resp)
|
||||
@@ -448,6 +456,8 @@ func relayTextHelper(c *gin.Context, relayMode int) *OpenAIErrorWithStatusCode {
|
||||
if usage != nil {
|
||||
textResponse.Usage = *usage
|
||||
}
|
||||
// zhipu's API does not return prompt tokens & completion tokens
|
||||
textResponse.Usage.PromptTokens = textResponse.Usage.TotalTokens
|
||||
return nil
|
||||
}
|
||||
case APITypeAli:
|
||||
@@ -470,6 +480,25 @@ func relayTextHelper(c *gin.Context, relayMode int) *OpenAIErrorWithStatusCode {
|
||||
}
|
||||
return nil
|
||||
}
|
||||
case APITypeXunfei:
|
||||
if isStream {
|
||||
auth := c.Request.Header.Get("Authorization")
|
||||
auth = strings.TrimPrefix(auth, "Bearer ")
|
||||
splits := strings.Split(auth, "|")
|
||||
if len(splits) != 3 {
|
||||
return errorWrapper(errors.New("invalid auth"), "invalid_auth", http.StatusBadRequest)
|
||||
}
|
||||
err, usage := xunfeiStreamHandler(c, textRequest, splits[0], splits[1], splits[2])
|
||||
if err != nil {
|
||||
return err
|
||||
}
|
||||
if usage != nil {
|
||||
textResponse.Usage = *usage
|
||||
}
|
||||
return nil
|
||||
} else {
|
||||
return errorWrapper(errors.New("xunfei api does not support non-stream mode"), "invalid_api_type", http.StatusBadRequest)
|
||||
}
|
||||
default:
|
||||
return errorWrapper(errors.New("unknown api type"), "unknown_api_type", http.StatusInternalServerError)
|
||||
}
|
||||
|
278
controller/relay-xunfei.go
Normal file
278
controller/relay-xunfei.go
Normal file
@@ -0,0 +1,278 @@
|
||||
package controller
|
||||
|
||||
import (
|
||||
"crypto/hmac"
|
||||
"crypto/sha256"
|
||||
"encoding/base64"
|
||||
"encoding/json"
|
||||
"fmt"
|
||||
"github.com/gin-gonic/gin"
|
||||
"github.com/gorilla/websocket"
|
||||
"io"
|
||||
"net/http"
|
||||
"net/url"
|
||||
"one-api/common"
|
||||
"strings"
|
||||
"time"
|
||||
)
|
||||
|
||||
// https://console.xfyun.cn/services/cbm
|
||||
// https://www.xfyun.cn/doc/spark/Web.html
|
||||
|
||||
type XunfeiMessage struct {
|
||||
Role string `json:"role"`
|
||||
Content string `json:"content"`
|
||||
}
|
||||
|
||||
type XunfeiChatRequest struct {
|
||||
Header struct {
|
||||
AppId string `json:"app_id"`
|
||||
} `json:"header"`
|
||||
Parameter struct {
|
||||
Chat struct {
|
||||
Domain string `json:"domain,omitempty"`
|
||||
Temperature float64 `json:"temperature,omitempty"`
|
||||
TopK int `json:"top_k,omitempty"`
|
||||
MaxTokens int `json:"max_tokens,omitempty"`
|
||||
Auditing bool `json:"auditing,omitempty"`
|
||||
} `json:"chat"`
|
||||
} `json:"parameter"`
|
||||
Payload struct {
|
||||
Message struct {
|
||||
Text []XunfeiMessage `json:"text"`
|
||||
} `json:"message"`
|
||||
} `json:"payload"`
|
||||
}
|
||||
|
||||
type XunfeiChatResponseTextItem struct {
|
||||
Content string `json:"content"`
|
||||
Role string `json:"role"`
|
||||
Index int `json:"index"`
|
||||
}
|
||||
|
||||
type XunfeiChatResponse struct {
|
||||
Header struct {
|
||||
Code int `json:"code"`
|
||||
Message string `json:"message"`
|
||||
Sid string `json:"sid"`
|
||||
Status int `json:"status"`
|
||||
} `json:"header"`
|
||||
Payload struct {
|
||||
Choices struct {
|
||||
Status int `json:"status"`
|
||||
Seq int `json:"seq"`
|
||||
Text []XunfeiChatResponseTextItem `json:"text"`
|
||||
} `json:"choices"`
|
||||
} `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 {
|
||||
messages := make([]XunfeiMessage, 0, len(request.Messages))
|
||||
for _, message := range request.Messages {
|
||||
if message.Role == "system" {
|
||||
messages = append(messages, XunfeiMessage{
|
||||
Role: "user",
|
||||
Content: message.Content,
|
||||
})
|
||||
messages = append(messages, XunfeiMessage{
|
||||
Role: "assistant",
|
||||
Content: "Okay",
|
||||
})
|
||||
} else {
|
||||
messages = append(messages, XunfeiMessage{
|
||||
Role: message.Role,
|
||||
Content: message.Content,
|
||||
})
|
||||
}
|
||||
}
|
||||
xunfeiRequest := XunfeiChatRequest{}
|
||||
xunfeiRequest.Header.AppId = xunfeiAppId
|
||||
xunfeiRequest.Parameter.Chat.Domain = "general"
|
||||
xunfeiRequest.Parameter.Chat.Temperature = request.Temperature
|
||||
xunfeiRequest.Parameter.Chat.TopK = request.N
|
||||
xunfeiRequest.Parameter.Chat.MaxTokens = request.MaxTokens
|
||||
xunfeiRequest.Payload.Message.Text = messages
|
||||
return &xunfeiRequest
|
||||
}
|
||||
|
||||
func responseXunfei2OpenAI(response *XunfeiChatResponse) *OpenAITextResponse {
|
||||
if len(response.Payload.Choices.Text) == 0 {
|
||||
response.Payload.Choices.Text = []XunfeiChatResponseTextItem{
|
||||
{
|
||||
Content: "",
|
||||
},
|
||||
}
|
||||
}
|
||||
choice := OpenAITextResponseChoice{
|
||||
Index: 0,
|
||||
Message: Message{
|
||||
Role: "assistant",
|
||||
Content: response.Payload.Choices.Text[0].Content,
|
||||
},
|
||||
}
|
||||
fullTextResponse := OpenAITextResponse{
|
||||
Object: "chat.completion",
|
||||
Created: common.GetTimestamp(),
|
||||
Choices: []OpenAITextResponseChoice{choice},
|
||||
Usage: response.Usage.Text,
|
||||
}
|
||||
return &fullTextResponse
|
||||
}
|
||||
|
||||
func streamResponseXunfei2OpenAI(xunfeiResponse *XunfeiChatResponse) *ChatCompletionsStreamResponse {
|
||||
if len(xunfeiResponse.Payload.Choices.Text) == 0 {
|
||||
xunfeiResponse.Payload.Choices.Text = []XunfeiChatResponseTextItem{
|
||||
{
|
||||
Content: "",
|
||||
},
|
||||
}
|
||||
}
|
||||
var choice ChatCompletionsStreamResponseChoice
|
||||
choice.Delta.Content = xunfeiResponse.Payload.Choices.Text[0].Content
|
||||
response := ChatCompletionsStreamResponse{
|
||||
Object: "chat.completion.chunk",
|
||||
Created: common.GetTimestamp(),
|
||||
Model: "SparkDesk",
|
||||
Choices: []ChatCompletionsStreamResponseChoice{choice},
|
||||
}
|
||||
return &response
|
||||
}
|
||||
|
||||
func buildXunfeiAuthUrl(hostUrl string, apiKey, apiSecret string) string {
|
||||
HmacWithShaToBase64 := func(algorithm, data, key string) string {
|
||||
mac := hmac.New(sha256.New, []byte(key))
|
||||
mac.Write([]byte(data))
|
||||
encodeData := mac.Sum(nil)
|
||||
return base64.StdEncoding.EncodeToString(encodeData)
|
||||
}
|
||||
ul, err := url.Parse(hostUrl)
|
||||
if err != nil {
|
||||
fmt.Println(err)
|
||||
}
|
||||
date := time.Now().UTC().Format(time.RFC1123)
|
||||
signString := []string{"host: " + ul.Host, "date: " + date, "GET " + ul.Path + " HTTP/1.1"}
|
||||
sign := strings.Join(signString, "\n")
|
||||
sha := HmacWithShaToBase64("hmac-sha256", sign, apiSecret)
|
||||
authUrl := fmt.Sprintf("hmac username=\"%s\", algorithm=\"%s\", headers=\"%s\", signature=\"%s\"", apiKey,
|
||||
"hmac-sha256", "host date request-line", sha)
|
||||
authorization := base64.StdEncoding.EncodeToString([]byte(authUrl))
|
||||
v := url.Values{}
|
||||
v.Add("host", ul.Host)
|
||||
v.Add("date", date)
|
||||
v.Add("authorization", authorization)
|
||||
callUrl := hostUrl + "?" + v.Encode()
|
||||
return callUrl
|
||||
}
|
||||
|
||||
func xunfeiStreamHandler(c *gin.Context, textRequest GeneralOpenAIRequest, appId string, apiSecret string, apiKey string) (*OpenAIErrorWithStatusCode, *Usage) {
|
||||
var usage Usage
|
||||
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)
|
||||
err = conn.WriteJSON(data)
|
||||
if err != nil {
|
||||
return errorWrapper(err, "write_json_failed", http.StatusInternalServerError), nil
|
||||
}
|
||||
dataChan := make(chan XunfeiChatResponse)
|
||||
stopChan := make(chan bool)
|
||||
go func() {
|
||||
for {
|
||||
_, msg, err := conn.ReadMessage()
|
||||
if err != nil {
|
||||
common.SysError("error reading stream response: " + err.Error())
|
||||
break
|
||||
}
|
||||
var response XunfeiChatResponse
|
||||
err = json.Unmarshal(msg, &response)
|
||||
if err != nil {
|
||||
common.SysError("error unmarshalling stream response: " + err.Error())
|
||||
break
|
||||
}
|
||||
dataChan <- response
|
||||
if response.Payload.Choices.Status == 2 {
|
||||
err := conn.Close()
|
||||
if err != nil {
|
||||
common.SysError("error closing websocket connection: " + err.Error())
|
||||
}
|
||||
break
|
||||
}
|
||||
}
|
||||
stopChan <- true
|
||||
}()
|
||||
c.Writer.Header().Set("Content-Type", "text/event-stream")
|
||||
c.Writer.Header().Set("Cache-Control", "no-cache")
|
||||
c.Writer.Header().Set("Connection", "keep-alive")
|
||||
c.Writer.Header().Set("Transfer-Encoding", "chunked")
|
||||
c.Writer.Header().Set("X-Accel-Buffering", "no")
|
||||
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
|
||||
response := streamResponseXunfei2OpenAI(&xunfeiResponse)
|
||||
jsonResponse, err := json.Marshal(response)
|
||||
if err != nil {
|
||||
common.SysError("error marshalling stream response: " + err.Error())
|
||||
return true
|
||||
}
|
||||
c.Render(-1, common.CustomEvent{Data: "data: " + string(jsonResponse)})
|
||||
return true
|
||||
case <-stopChan:
|
||||
c.Render(-1, common.CustomEvent{Data: "data: [DONE]"})
|
||||
return false
|
||||
}
|
||||
})
|
||||
return nil, &usage
|
||||
}
|
||||
|
||||
func xunfeiHandler(c *gin.Context, resp *http.Response) (*OpenAIErrorWithStatusCode, *Usage) {
|
||||
var xunfeiResponse XunfeiChatResponse
|
||||
responseBody, err := io.ReadAll(resp.Body)
|
||||
if err != nil {
|
||||
return errorWrapper(err, "read_response_body_failed", http.StatusInternalServerError), nil
|
||||
}
|
||||
err = resp.Body.Close()
|
||||
if err != nil {
|
||||
return errorWrapper(err, "close_response_body_failed", http.StatusInternalServerError), nil
|
||||
}
|
||||
err = json.Unmarshal(responseBody, &xunfeiResponse)
|
||||
if err != nil {
|
||||
return errorWrapper(err, "unmarshal_response_body_failed", http.StatusInternalServerError), nil
|
||||
}
|
||||
if xunfeiResponse.Header.Code != 0 {
|
||||
return &OpenAIErrorWithStatusCode{
|
||||
OpenAIError: OpenAIError{
|
||||
Message: xunfeiResponse.Header.Message,
|
||||
Type: "xunfei_error",
|
||||
Param: "",
|
||||
Code: xunfeiResponse.Header.Code,
|
||||
},
|
||||
StatusCode: resp.StatusCode,
|
||||
}, nil
|
||||
}
|
||||
fullTextResponse := responseXunfei2OpenAI(&xunfeiResponse)
|
||||
jsonResponse, err := json.Marshal(fullTextResponse)
|
||||
if err != nil {
|
||||
return errorWrapper(err, "marshal_response_body_failed", http.StatusInternalServerError), nil
|
||||
}
|
||||
c.Writer.Header().Set("Content-Type", "application/json")
|
||||
c.Writer.WriteHeader(resp.StatusCode)
|
||||
_, err = c.Writer.Write(jsonResponse)
|
||||
return nil, &fullTextResponse.Usage
|
||||
}
|
1
go.mod
1
go.mod
@@ -13,6 +13,7 @@ require (
|
||||
github.com/go-redis/redis/v8 v8.11.5
|
||||
github.com/golang-jwt/jwt v3.2.2+incompatible
|
||||
github.com/google/uuid v1.3.0
|
||||
github.com/gorilla/websocket v1.5.0
|
||||
github.com/pkoukk/tiktoken-go v0.1.1
|
||||
golang.org/x/crypto v0.9.0
|
||||
gorm.io/driver/mysql v1.4.3
|
||||
|
2
go.sum
2
go.sum
@@ -67,6 +67,8 @@ github.com/gorilla/securecookie v1.1.1 h1:miw7JPhV+b/lAHSXz4qd/nN9jRiAFV5FwjeKyC
|
||||
github.com/gorilla/securecookie v1.1.1/go.mod h1:ra0sb63/xPlUeL+yeDciTfxMRAA+MP+HVt/4epWDjd4=
|
||||
github.com/gorilla/sessions v1.2.1 h1:DHd3rPN5lE3Ts3D8rKkQ8x/0kqfeNmBAaiSi+o7FsgI=
|
||||
github.com/gorilla/sessions v1.2.1/go.mod h1:dk2InVEVJ0sfLlnXv9EAgkf6ecYs/i80K/zI+bUmuGM=
|
||||
github.com/gorilla/websocket v1.5.0 h1:PPwGk2jz7EePpoHN/+ClbZu8SPxiqlu12wZP/3sWmnc=
|
||||
github.com/gorilla/websocket v1.5.0/go.mod h1:YR8l580nyteQvAITg2hZ9XVh4b55+EU/adAjf1fMHhE=
|
||||
github.com/jinzhu/inflection v1.0.0 h1:K317FqzuhWc8YvSVlFMCCUb36O/S9MCKRDI7QkRKD/E=
|
||||
github.com/jinzhu/inflection v1.0.0/go.mod h1:h+uFLlag+Qp1Va5pdKtLDYj+kHp5pxUVkryuEj+Srlc=
|
||||
github.com/jinzhu/now v1.1.4/go.mod h1:d3SSVoowX0Lcu0IBviAWJpolVfI5UJVZZ7cO71lE/z8=
|
||||
|
@@ -503,5 +503,12 @@
|
||||
"请输入 AZURE_OPENAI_ENDPOINT": "Please enter AZURE_OPENAI_ENDPOINT",
|
||||
"请输入自定义渠道的 Base URL": "Please enter the Base URL of the custom channel",
|
||||
"Homepage URL 填": "Fill in the Homepage URL",
|
||||
"Authorization callback URL 填": "Fill in the Authorization callback URL"
|
||||
"Authorization callback URL 填": "Fill in the Authorization callback URL",
|
||||
"请为通道命名": "Please name the channel",
|
||||
"此项可选,用于修改请求体中的模型名称,为一个 JSON 字符串,键为请求中模型名称,值为要替换的模型名称,例如:": "This is optional, used to modify the model name in the request body, it's a JSON string, the key is the model name in the request, and the value is the model name to be replaced, for example:",
|
||||
"模型重定向": "Model redirection",
|
||||
"请输入渠道对应的鉴权密钥": "Please enter the authentication key corresponding to the channel",
|
||||
"注意,": "Note that, ",
|
||||
",图片演示。": "related image demo.",
|
||||
"令牌创建成功,请在列表页面点击复制获取令牌!": "Token created successfully, please click copy on the list page to get the token!"
|
||||
}
|
||||
|
@@ -363,9 +363,12 @@ const ChannelsTable = () => {
|
||||
</Table.Cell>
|
||||
<Table.Cell>
|
||||
<Popup
|
||||
content={channel.balance_updated_time ? renderTimestamp(channel.balance_updated_time) : '未更新'}
|
||||
key={channel.id}
|
||||
trigger={renderBalance(channel.type, channel.balance)}
|
||||
trigger={<span onClick={() => {
|
||||
updateChannelBalance(channel.id, channel.name, idx);
|
||||
}} style={{ cursor: 'pointer' }}>
|
||||
{renderBalance(channel.type, channel.balance)}
|
||||
</span>}
|
||||
content="点击更新"
|
||||
basic
|
||||
/>
|
||||
</Table.Cell>
|
||||
@@ -380,16 +383,16 @@ const ChannelsTable = () => {
|
||||
>
|
||||
测试
|
||||
</Button>
|
||||
<Button
|
||||
size={'small'}
|
||||
positive
|
||||
loading={updatingBalance}
|
||||
onClick={() => {
|
||||
updateChannelBalance(channel.id, channel.name, idx);
|
||||
}}
|
||||
>
|
||||
更新余额
|
||||
</Button>
|
||||
{/*<Button*/}
|
||||
{/* size={'small'}*/}
|
||||
{/* positive*/}
|
||||
{/* loading={updatingBalance}*/}
|
||||
{/* onClick={() => {*/}
|
||||
{/* updateChannelBalance(channel.id, channel.name, idx);*/}
|
||||
{/* }}*/}
|
||||
{/*>*/}
|
||||
{/* 更新余额*/}
|
||||
{/*</Button>*/}
|
||||
<Popup
|
||||
trigger={
|
||||
<Button size='small' negative>
|
||||
|
@@ -227,7 +227,7 @@ const UsersTable = () => {
|
||||
content={user.email ? user.email : '未绑定邮箱地址'}
|
||||
key={user.username}
|
||||
header={user.display_name ? user.display_name : user.username}
|
||||
trigger={<span>{renderText(user.username, 10)}</span>}
|
||||
trigger={<span>{renderText(user.username, 15)}</span>}
|
||||
hoverable
|
||||
/>
|
||||
</Table.Cell>
|
||||
|
@@ -5,6 +5,7 @@ export const CHANNEL_OPTIONS = [
|
||||
{ key: 11, text: 'Google PaLM2', value: 11, color: 'orange' },
|
||||
{ key: 15, text: '百度文心千帆', value: 15, color: 'blue' },
|
||||
{ key: 17, text: '阿里通义千问', value: 17, color: 'orange' },
|
||||
{ key: 18, text: '讯飞星火认知', value: 18, color: 'blue' },
|
||||
{ key: 16, text: '智谱 ChatGLM', value: 16, color: 'violet' },
|
||||
{ key: 8, text: '自定义渠道', value: 8, color: 'pink' },
|
||||
{ key: 2, text: '代理:API2D', value: 2, color: 'blue' },
|
||||
@@ -15,5 +16,5 @@ export const CHANNEL_OPTIONS = [
|
||||
{ key: 6, text: '代理:OpenAI Max', value: 6, color: 'violet' },
|
||||
{ key: 9, text: '代理:AI.LS', value: 9, color: 'yellow' },
|
||||
{ key: 12, text: '代理:API2GPT', value: 12, color: 'blue' },
|
||||
{ key: 13, text: '代理:AIGC2D', value: 13, color: 'purple' },
|
||||
{ key: 13, text: '代理:AIGC2D', value: 13, color: 'purple' }
|
||||
];
|
@@ -1,5 +1,5 @@
|
||||
export const toastConstants = {
|
||||
SUCCESS_TIMEOUT: 500,
|
||||
SUCCESS_TIMEOUT: 1500,
|
||||
INFO_TIMEOUT: 3000,
|
||||
ERROR_TIMEOUT: 5000,
|
||||
WARNING_TIMEOUT: 10000,
|
||||
|
@@ -53,6 +53,9 @@ const EditChannel = () => {
|
||||
case 16:
|
||||
localModels = ['chatglm_pro', 'chatglm_std', 'chatglm_lite'];
|
||||
break;
|
||||
case 18:
|
||||
localModels = ['SparkDesk'];
|
||||
break;
|
||||
}
|
||||
setInputs((inputs) => ({ ...inputs, models: localModels }));
|
||||
}
|
||||
@@ -153,7 +156,10 @@ const EditChannel = () => {
|
||||
localInputs.base_url = localInputs.base_url.slice(0, localInputs.base_url.length - 1);
|
||||
}
|
||||
if (localInputs.type === 3 && localInputs.other === '') {
|
||||
localInputs.other = '2023-03-15-preview';
|
||||
localInputs.other = '2023-06-01-preview';
|
||||
}
|
||||
if (localInputs.model_mapping === '') {
|
||||
localInputs.model_mapping = '{}';
|
||||
}
|
||||
let res;
|
||||
localInputs.models = localInputs.models.join(',');
|
||||
@@ -213,7 +219,7 @@ const EditChannel = () => {
|
||||
<Form.Input
|
||||
label='默认 API 版本'
|
||||
name='other'
|
||||
placeholder={'请输入默认 API 版本,例如:2023-03-15-preview,该配置可以被实际的请求查询参数所覆盖'}
|
||||
placeholder={'请输入默认 API 版本,例如:2023-06-01-preview,该配置可以被实际的请求查询参数所覆盖'}
|
||||
onChange={handleInputChange}
|
||||
value={inputs.other}
|
||||
autoComplete='new-password'
|
||||
@@ -318,7 +324,7 @@ const EditChannel = () => {
|
||||
</div>
|
||||
<Form.Field>
|
||||
<Form.TextArea
|
||||
label='模型映射'
|
||||
label='模型重定向'
|
||||
placeholder={`此项可选,用于修改请求体中的模型名称,为一个 JSON 字符串,键为请求中模型名称,值为要替换的模型名称,例如:\n${JSON.stringify(MODEL_MAPPING_EXAMPLE, null, 2)}`}
|
||||
name='model_mapping'
|
||||
onChange={handleInputChange}
|
||||
@@ -344,7 +350,7 @@ const EditChannel = () => {
|
||||
label='密钥'
|
||||
name='key'
|
||||
required
|
||||
placeholder={inputs.type === 15 ? '请输入 access token,当前版本暂不支持自动刷新,请每 30 天更新一次' : '请输入渠道对应的鉴权密钥'}
|
||||
placeholder={inputs.type === 15 ? '请输入 access token,当前版本暂不支持自动刷新,请每 30 天更新一次' : (inputs.type === 18 ? '按照如下格式输入:APPID|APISecret|APIKey' : '请输入渠道对应的鉴权密钥')}
|
||||
onChange={handleInputChange}
|
||||
value={inputs.key}
|
||||
autoComplete='new-password'
|
||||
|
@@ -83,7 +83,7 @@ const EditToken = () => {
|
||||
if (isEdit) {
|
||||
showSuccess('令牌更新成功!');
|
||||
} else {
|
||||
showSuccess('令牌创建成功!');
|
||||
showSuccess('令牌创建成功,请在列表页面点击复制获取令牌!');
|
||||
setInputs(originInputs);
|
||||
}
|
||||
} else {
|
||||
|
Reference in New Issue
Block a user