mirror of
https://github.com/QuantumNous/new-api.git
synced 2026-04-05 13:37:40 +00:00
Compare commits
13 Commits
| Author | SHA1 | Date | |
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1568d6481a | ||
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d05a786b4c | ||
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01160658a5 | ||
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f421699e1b | ||
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f0c884cb55 | ||
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51e0754ade | ||
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1ab93717bb | ||
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d6c1e3f37c | ||
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774ce7195c | ||
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dbaa9390d3 | ||
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84da88506f | ||
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98a991306d | ||
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a3de309175 |
@@ -249,4 +249,5 @@ var ChannelBaseURLs = []string{
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"", //32
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"", //33
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"https://api.cohere.ai", //34
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"https://api.minimax.chat", //35
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}
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@@ -5,7 +5,7 @@ import (
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"strings"
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)
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//from songquanpeng/one-api
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// from songquanpeng/one-api
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const (
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USD2RMB = 7.3 // 暂定 1 USD = 7.3 RMB
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USD = 500 // $0.002 = 1 -> $1 = 500
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@@ -40,86 +40,86 @@ var DefaultModelRatio = map[string]float64{
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"gpt-4-turbo-2024-04-09": 5, // $0.01 / 1K tokens
|
||||
"gpt-3.5-turbo": 0.25, // $0.0015 / 1K tokens
|
||||
//"gpt-3.5-turbo-0301": 0.75, //deprecated
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||||
"gpt-3.5-turbo-0613": 0.75,
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"gpt-3.5-turbo-16k": 1.5, // $0.003 / 1K tokens
|
||||
"gpt-3.5-turbo-16k-0613": 1.5,
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||||
"gpt-3.5-turbo-instruct": 0.75, // $0.0015 / 1K tokens
|
||||
"gpt-3.5-turbo-1106": 0.5, // $0.001 / 1K tokens
|
||||
"gpt-3.5-turbo-0125": 0.25,
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||||
"babbage-002": 0.2, // $0.0004 / 1K tokens
|
||||
"davinci-002": 1, // $0.002 / 1K tokens
|
||||
"text-ada-001": 0.2,
|
||||
"text-babbage-001": 0.25,
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||||
"text-curie-001": 1,
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||||
"text-davinci-002": 10,
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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": 15, // $0.006 / minute -> $0.006 / 150 words -> $0.006 / 200 tokens -> $0.03 / 1k tokens
|
||||
"tts-1": 7.5, // 1k characters -> $0.015
|
||||
"tts-1-1106": 7.5, // 1k characters -> $0.015
|
||||
"tts-1-hd": 15, // 1k characters -> $0.03
|
||||
"tts-1-hd-1106": 15, // 1k characters -> $0.03
|
||||
"davinci": 10,
|
||||
"curie": 10,
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||||
"babbage": 10,
|
||||
"ada": 10,
|
||||
"text-embedding-3-small": 0.01,
|
||||
"text-embedding-3-large": 0.065,
|
||||
"text-embedding-ada-002": 0.05,
|
||||
"text-search-ada-doc-001": 10,
|
||||
"text-moderation-stable": 0.1,
|
||||
"text-moderation-latest": 0.1,
|
||||
"claude-instant-1": 0.4, // $0.8 / 1M tokens
|
||||
"claude-2.0": 4, // $8 / 1M tokens
|
||||
"claude-2.1": 4, // $8 / 1M tokens
|
||||
"claude-3-haiku-20240307": 0.125, // $0.25 / 1M tokens
|
||||
"claude-3-sonnet-20240229": 1.5, // $3 / 1M tokens
|
||||
"claude-3-opus-20240229": 7.5, // $15 / 1M tokens
|
||||
"ERNIE-Bot": 0.8572, // ￥0.012 / 1k tokens //renamed to ERNIE-3.5-8K
|
||||
"ERNIE-Bot-turbo": 0.5715, // ￥0.008 / 1k tokens //renamed to ERNIE-Lite-8K
|
||||
"ERNIE-Bot-4": 8.572, // ￥0.12 / 1k tokens //renamed to ERNIE-4.0-8K
|
||||
"ERNIE-4.0-8K": 8.572, // ￥0.12 / 1k tokens
|
||||
"ERNIE-3.5-8K": 0.8572, // ￥0.012 / 1k tokens
|
||||
"ERNIE-Speed-8K": 0.2858, // ￥0.004 / 1k tokens
|
||||
"ERNIE-Speed-128K": 0.2858, // ￥0.004 / 1k tokens
|
||||
"ERNIE-Lite-8K": 0.2143, // ￥0.003 / 1k tokens
|
||||
"ERNIE-Tiny-8K": 0.0715, // ￥0.001 / 1k tokens
|
||||
"ERNIE-Character-8K": 0.2858, // ￥0.004 / 1k tokens
|
||||
"ERNIE-Functions-8K": 0.2858, // ￥0.004 / 1k tokens
|
||||
"Embedding-V1": 0.1429, // ￥0.002 / 1k tokens
|
||||
"PaLM-2": 1,
|
||||
"gemini-pro": 1, // $0.00025 / 1k characters -> $0.001 / 1k tokens
|
||||
"gemini-pro-vision": 1, // $0.00025 / 1k characters -> $0.001 / 1k tokens
|
||||
"gemini-1.0-pro-vision-001": 1,
|
||||
"gemini-1.0-pro-001": 1,
|
||||
"gemini-1.5-pro-latest": 1,
|
||||
"gemini-1.5-flash-latest": 1,
|
||||
"gemini-1.0-pro-latest": 1,
|
||||
"gemini-1.0-pro-vision-latest": 1,
|
||||
"gemini-ultra": 1,
|
||||
"chatglm_turbo": 0.3572, // ￥0.005 / 1k tokens
|
||||
"chatglm_pro": 0.7143, // ￥0.01 / 1k tokens
|
||||
"chatglm_std": 0.3572, // ￥0.005 / 1k tokens
|
||||
"chatglm_lite": 0.1429, // ￥0.002 / 1k tokens
|
||||
"glm-4": 7.143, // ￥0.1 / 1k tokens
|
||||
"glm-4v": 7.143, // ￥0.1 / 1k tokens
|
||||
"glm-3-turbo": 0.3572,
|
||||
"qwen-turbo": 0.8572, // ￥0.012 / 1k tokens
|
||||
"qwen-plus": 10, // ￥0.14 / 1k tokens
|
||||
"text-embedding-v1": 0.05, // ￥0.0007 / 1k tokens
|
||||
"SparkDesk-v1.1": 1.2858, // ￥0.018 / 1k tokens
|
||||
"SparkDesk-v2.1": 1.2858, // ￥0.018 / 1k tokens
|
||||
"SparkDesk-v3.1": 1.2858, // ￥0.018 / 1k tokens
|
||||
"SparkDesk-v3.5": 1.2858, // ￥0.018 / 1k tokens
|
||||
"360GPT_S2_V9": 0.8572, // ¥0.012 / 1k tokens
|
||||
"360gpt-turbo": 0.0858, // ¥0.0012 / 1k tokens
|
||||
"gpt-3.5-turbo-0613": 0.75,
|
||||
"gpt-3.5-turbo-16k": 1.5, // $0.003 / 1K tokens
|
||||
"gpt-3.5-turbo-16k-0613": 1.5,
|
||||
"gpt-3.5-turbo-instruct": 0.75, // $0.0015 / 1K tokens
|
||||
"gpt-3.5-turbo-1106": 0.5, // $0.001 / 1K tokens
|
||||
"gpt-3.5-turbo-0125": 0.25,
|
||||
"babbage-002": 0.2, // $0.0004 / 1K tokens
|
||||
"davinci-002": 1, // $0.002 / 1K tokens
|
||||
"text-ada-001": 0.2,
|
||||
"text-babbage-001": 0.25,
|
||||
"text-curie-001": 1,
|
||||
"text-davinci-002": 10,
|
||||
"text-davinci-003": 10,
|
||||
"text-davinci-edit-001": 10,
|
||||
"code-davinci-edit-001": 10,
|
||||
"whisper-1": 15, // $0.006 / minute -> $0.006 / 150 words -> $0.006 / 200 tokens -> $0.03 / 1k tokens
|
||||
"tts-1": 7.5, // 1k characters -> $0.015
|
||||
"tts-1-1106": 7.5, // 1k characters -> $0.015
|
||||
"tts-1-hd": 15, // 1k characters -> $0.03
|
||||
"tts-1-hd-1106": 15, // 1k characters -> $0.03
|
||||
"davinci": 10,
|
||||
"curie": 10,
|
||||
"babbage": 10,
|
||||
"ada": 10,
|
||||
"text-embedding-3-small": 0.01,
|
||||
"text-embedding-3-large": 0.065,
|
||||
"text-embedding-ada-002": 0.05,
|
||||
"text-search-ada-doc-001": 10,
|
||||
"text-moderation-stable": 0.1,
|
||||
"text-moderation-latest": 0.1,
|
||||
"claude-instant-1": 0.4, // $0.8 / 1M tokens
|
||||
"claude-2.0": 4, // $8 / 1M tokens
|
||||
"claude-2.1": 4, // $8 / 1M tokens
|
||||
"claude-3-haiku-20240307": 0.125, // $0.25 / 1M tokens
|
||||
"claude-3-sonnet-20240229": 1.5, // $3 / 1M tokens
|
||||
"claude-3-opus-20240229": 7.5, // $15 / 1M tokens
|
||||
"ERNIE-Bot": 0.8572, // ￥0.012 / 1k tokens //renamed to ERNIE-3.5-8K
|
||||
"ERNIE-Bot-turbo": 0.5715, // ￥0.008 / 1k tokens //renamed to ERNIE-Lite-8K
|
||||
"ERNIE-Bot-4": 8.572, // ￥0.12 / 1k tokens //renamed to ERNIE-4.0-8K
|
||||
"ERNIE-4.0-8K": 8.572, // ￥0.12 / 1k tokens
|
||||
"ERNIE-3.5-8K": 0.8572, // ￥0.012 / 1k tokens
|
||||
"ERNIE-Speed-8K": 0.2858, // ￥0.004 / 1k tokens
|
||||
"ERNIE-Speed-128K": 0.2858, // ￥0.004 / 1k tokens
|
||||
"ERNIE-Lite-8K": 0.2143, // ￥0.003 / 1k tokens
|
||||
"ERNIE-Tiny-8K": 0.0715, // ￥0.001 / 1k tokens
|
||||
"ERNIE-Character-8K": 0.2858, // ￥0.004 / 1k tokens
|
||||
"ERNIE-Functions-8K": 0.2858, // ￥0.004 / 1k tokens
|
||||
"Embedding-V1": 0.1429, // ￥0.002 / 1k tokens
|
||||
"PaLM-2": 1,
|
||||
"gemini-pro": 1, // $0.00025 / 1k characters -> $0.001 / 1k tokens
|
||||
"gemini-pro-vision": 1, // $0.00025 / 1k characters -> $0.001 / 1k tokens
|
||||
"gemini-1.0-pro-vision-001": 1,
|
||||
"gemini-1.0-pro-001": 1,
|
||||
"gemini-1.5-pro-latest": 1,
|
||||
"gemini-1.5-flash-latest": 1,
|
||||
"gemini-1.0-pro-latest": 1,
|
||||
"gemini-1.0-pro-vision-latest": 1,
|
||||
"gemini-ultra": 1,
|
||||
"chatglm_turbo": 0.3572, // ￥0.005 / 1k tokens
|
||||
"chatglm_pro": 0.7143, // ￥0.01 / 1k tokens
|
||||
"chatglm_std": 0.3572, // ￥0.005 / 1k tokens
|
||||
"chatglm_lite": 0.1429, // ￥0.002 / 1k tokens
|
||||
"glm-4": 7.143, // ￥0.1 / 1k tokens
|
||||
"glm-4v": 7.143, // ￥0.1 / 1k tokens
|
||||
"glm-3-turbo": 0.3572,
|
||||
"qwen-turbo": 0.8572, // ￥0.012 / 1k tokens
|
||||
"qwen-plus": 10, // ￥0.14 / 1k tokens
|
||||
"text-embedding-v1": 0.05, // ￥0.0007 / 1k tokens
|
||||
"SparkDesk-v1.1": 1.2858, // ￥0.018 / 1k tokens
|
||||
"SparkDesk-v2.1": 1.2858, // ￥0.018 / 1k tokens
|
||||
"SparkDesk-v3.1": 1.2858, // ￥0.018 / 1k tokens
|
||||
"SparkDesk-v3.5": 1.2858, // ￥0.018 / 1k tokens
|
||||
"360GPT_S2_V9": 0.8572, // ¥0.012 / 1k tokens
|
||||
"360gpt-turbo": 0.0858, // ¥0.0012 / 1k tokens
|
||||
"360gpt-turbo-responsibility-8k": 0.8572, // ¥0.012 / 1k tokens
|
||||
"360gpt-pro": 0.8572, // ¥0.012 / 1k tokens
|
||||
"embedding-bert-512-v1": 0.0715, // ¥0.001 / 1k tokens
|
||||
"embedding_s1_v1": 0.0715, // ¥0.001 / 1k tokens
|
||||
"semantic_similarity_s1_v1": 0.0715, // ¥0.001 / 1k tokens
|
||||
"hunyuan": 7.143, // ¥0.1 / 1k tokens // https://cloud.tencent.com/document/product/1729/97731#e0e6be58-60c8-469f-bdeb-6c264ce3b4d0
|
||||
"360gpt-pro": 0.8572, // ¥0.012 / 1k tokens
|
||||
"embedding-bert-512-v1": 0.0715, // ¥0.001 / 1k tokens
|
||||
"embedding_s1_v1": 0.0715, // ¥0.001 / 1k tokens
|
||||
"semantic_similarity_s1_v1": 0.0715, // ¥0.001 / 1k tokens
|
||||
"hunyuan": 7.143, // ¥0.1 / 1k tokens // https://cloud.tencent.com/document/product/1729/97731#e0e6be58-60c8-469f-bdeb-6c264ce3b4d0
|
||||
// https://platform.lingyiwanwu.com/docs#-计费单元
|
||||
// 已经按照 7.2 来换算美元价格
|
||||
"yi-34b-chat-0205": 0.18,
|
||||
@@ -143,10 +143,10 @@ var DefaultModelRatio = map[string]float64{
|
||||
"deepseek-chat": 0.07,
|
||||
"deepseek-coder": 0.07,
|
||||
// Perplexity online 模型对搜索额外收费，有需要应自行调整，此处不计入搜索费用
|
||||
"llama-3-sonar-small-32k-chat": 0.2 / 1000 * USD,
|
||||
"llama-3-sonar-small-32k-online": 0.2 / 1000 * USD,
|
||||
"llama-3-sonar-large-32k-chat": 1 / 1000 * USD,
|
||||
"llama-3-sonar-large-32k-online": 1 / 1000 * USD,
|
||||
"llama-3-sonar-small-32k-chat": 0.2 / 1000 * USD,
|
||||
"llama-3-sonar-small-32k-online": 0.2 / 1000 * USD,
|
||||
"llama-3-sonar-large-32k-chat": 1 / 1000 * USD,
|
||||
"llama-3-sonar-large-32k-online": 1 / 1000 * USD,
|
||||
}
|
||||
|
||||
var DefaultModelPrice = map[string]float64{
|
||||
@@ -289,7 +289,7 @@ func GetCompletionRatio(name string) float64 {
|
||||
}
|
||||
return 4.0 / 3.0
|
||||
}
|
||||
if strings.HasPrefix(name, "gpt-4") && name != "gpt-4-all" && name != "gpt-4-gizmo-*" {
|
||||
if strings.HasPrefix(name, "gpt-4") && !strings.HasSuffix(name, "-all") && !strings.HasSuffix(name, "-gizmo-*") {
|
||||
if strings.HasPrefix(name, "gpt-4-turbo") || strings.HasSuffix(name, "preview") || strings.HasPrefix(name, "gpt-4o") {
|
||||
return 3
|
||||
}
|
||||
|
||||
@@ -41,10 +41,10 @@ func (a *Adaptor) GetRequestURL(info *relaycommon.RelayInfo) (string, error) {
|
||||
return relaycommon.GetFullRequestURL(info.BaseUrl, requestURL, info.ChannelType), nil
|
||||
case common.ChannelTypeMiniMax:
|
||||
return minimax.GetRequestURL(info)
|
||||
//case common.ChannelTypeCustom:
|
||||
// url := info.BaseUrl
|
||||
// url = strings.Replace(url, "{model}", info.UpstreamModelName, -1)
|
||||
// return url, nil
|
||||
case common.ChannelTypeCustom:
|
||||
url := info.BaseUrl
|
||||
url = strings.Replace(url, "{model}", info.UpstreamModelName, -1)
|
||||
return url, nil
|
||||
default:
|
||||
return relaycommon.GetFullRequestURL(info.BaseUrl, info.RequestURLPath, info.ChannelType), nil
|
||||
}
|
||||
|
||||
@@ -67,7 +67,11 @@ func getTokenNum(tokenEncoder *tiktoken.Tiktoken, text string) int {
|
||||
return len(tokenEncoder.Encode(text, nil, nil))
|
||||
}
|
||||
|
||||
func getImageToken(imageUrl *dto.MessageImageUrl) (int, error) {
|
||||
func getImageToken(imageUrl *dto.MessageImageUrl, model string, stream bool) (int, error) {
|
||||
// TODO: 非流模式下不计算图片token数量
|
||||
if model == "glm-4v" {
|
||||
return 1047, nil
|
||||
}
|
||||
if imageUrl.Detail == "low" {
|
||||
return 85, nil
|
||||
}
|
||||
@@ -123,7 +127,7 @@ func getImageToken(imageUrl *dto.MessageImageUrl) (int, error) {
|
||||
|
||||
func CountTokenChatRequest(request dto.GeneralOpenAIRequest, model string, checkSensitive bool) (int, error, bool) {
|
||||
tkm := 0
|
||||
msgTokens, err, b := CountTokenMessages(request.Messages, model, checkSensitive)
|
||||
msgTokens, err, b := CountTokenMessages(request.Messages, model, request.Stream, checkSensitive)
|
||||
if err != nil {
|
||||
return 0, err, b
|
||||
}
|
||||
@@ -156,7 +160,7 @@ func CountTokenChatRequest(request dto.GeneralOpenAIRequest, model string, check
|
||||
return tkm, nil, false
|
||||
}
|
||||
|
||||
func CountTokenMessages(messages []dto.Message, model string, checkSensitive bool) (int, error, bool) {
|
||||
func CountTokenMessages(messages []dto.Message, model string, stream bool, checkSensitive bool) (int, error, bool) {
|
||||
//recover when panic
|
||||
tokenEncoder := getTokenEncoder(model)
|
||||
// Reference:
|
||||
@@ -193,19 +197,13 @@ func CountTokenMessages(messages []dto.Message, model string, checkSensitive boo
|
||||
tokenNum += getTokenNum(tokenEncoder, *message.Name)
|
||||
}
|
||||
} else {
|
||||
var err error
|
||||
arrayContent := message.ParseContent()
|
||||
for _, m := range arrayContent {
|
||||
if m.Type == "image_url" {
|
||||
var imageTokenNum int
|
||||
if model == "glm-4v" {
|
||||
imageTokenNum = 1047
|
||||
} else {
|
||||
imageUrl := m.ImageUrl.(dto.MessageImageUrl)
|
||||
imageTokenNum, err = getImageToken(&imageUrl)
|
||||
if err != nil {
|
||||
return 0, err, false
|
||||
}
|
||||
imageUrl := m.ImageUrl.(dto.MessageImageUrl)
|
||||
imageTokenNum, err := getImageToken(&imageUrl, model, stream)
|
||||
if err != nil {
|
||||
return 0, err, false
|
||||
}
|
||||
tokenNum += imageTokenNum
|
||||
log.Printf("image token num: %d", imageTokenNum)
|
||||
|
||||
@@ -310,12 +310,12 @@ const ChannelsTable = () => {
|
||||
|
||||
const setChannelFormat = (channels) => {
|
||||
for (let i = 0; i < channels.length; i++) {
|
||||
if (channels[i].type === 8) {
|
||||
showWarning(
|
||||
'检测到您使用了“自定义渠道”类型，请更换为“OpenAI”渠道类型！',
|
||||
);
|
||||
showWarning('下个版本将不再支持“自定义渠道”类型！');
|
||||
}
|
||||
// if (channels[i].type === 8) {
|
||||
// showWarning(
|
||||
// '检测到您使用了“自定义渠道”类型，请更换为“OpenAI”渠道类型！',
|
||||
// );
|
||||
// showWarning('下个版本将不再支持“自定义渠道”类型！');
|
||||
// }
|
||||
channels[i].key = '' + channels[i].id;
|
||||
let test_models = [];
|
||||
channels[i].models.split(',').forEach((item, index) => {
|
||||
|
||||
@@ -302,6 +302,9 @@ const LogsTable = () => {
|
||||
let content = '渠道：' + record.channel;
|
||||
if (record.other !== '') {
|
||||
let other = JSON.parse(record.other);
|
||||
if (other === null) {
|
||||
return <></>
|
||||
}
|
||||
if (other.admin_info !== undefined) {
|
||||
if (
|
||||
other.admin_info.use_channel !== null &&
|
||||
@@ -322,7 +325,8 @@ const LogsTable = () => {
|
||||
title: '详情',
|
||||
dataIndex: 'content',
|
||||
render: (text, record, index) => {
|
||||
if (record.other === '') {
|
||||
let other = JSON.parse(record.other);
|
||||
if (other == null) {
|
||||
return (
|
||||
<Paragraph
|
||||
ellipsis={{
|
||||
@@ -338,7 +342,6 @@ const LogsTable = () => {
|
||||
</Paragraph>
|
||||
);
|
||||
}
|
||||
let other = JSON.parse(record.other);
|
||||
let content = renderModelPrice(
|
||||
record.prompt_tokens,
|
||||
record.completion_tokens,
|
||||
|
||||
@@ -146,11 +146,10 @@ const ModelPricing = () => {
|
||||
render: (text, record, index) => {
|
||||
let content = text;
|
||||
if (record.quota_type === 0) {
|
||||
let inputRatioPrice = record.model_ratio * 2.0 * record.group_ratio;
|
||||
let inputRatioPrice = record.model_ratio * 2 * record.group_ratio;
|
||||
let completionRatioPrice =
|
||||
record.model_ratio *
|
||||
record.completion_ratio *
|
||||
2.0 *
|
||||
record.group_ratio;
|
||||
content = (
|
||||
<>
|
||||
|
||||
@@ -150,7 +150,7 @@ export function renderModelPrice(
|
||||
completionRatio = 0;
|
||||
}
|
||||
let inputRatioPrice = modelRatio * 2.0 * groupRatio;
|
||||
let completionRatioPrice = modelRatio * completionRatio * 2.0 * groupRatio;
|
||||
let completionRatioPrice = modelRatio * completionRatio * groupRatio;
|
||||
let price =
|
||||
(inputTokens / 1000000) * inputRatioPrice +
|
||||
(completionTokens / 1000000) * completionRatioPrice;
|
||||
|
||||
@@ -301,17 +301,18 @@ const EditChannel = (props) => {
|
||||
const addCustomModels = () => {
|
||||
if (customModel.trim() === '') return;
|
||||
// 使用逗号分隔字符串，然后去除每个模型名称前后的空格
|
||||
const modelArray = customModel.split(',').map(model => model.trim());
|
||||
|
||||
const modelArray = customModel.split(',').map((model) => model.trim());
|
||||
|
||||
let localModels = [...inputs.models];
|
||||
let localModelOptions = [...modelOptions];
|
||||
let hasError = false;
|
||||
|
||||
modelArray.forEach(model => {
|
||||
modelArray.forEach((model) => {
|
||||
// 检查模型是否已存在，且模型名称非空
|
||||
if (model && !localModels.includes(model)) {
|
||||
localModels.push(model); // 添加到模型列表
|
||||
localModelOptions.push({ // 添加到下拉选项
|
||||
localModelOptions.push({
|
||||
// 添加到下拉选项
|
||||
key: model,
|
||||
text: model,
|
||||
value: model,
|
||||
@@ -330,7 +331,6 @@ const EditChannel = (props) => {
|
||||
handleInputChange('models', localModels);
|
||||
};
|
||||
|
||||
|
||||
return (
|
||||
<>
|
||||
<SideSheet
|
||||
@@ -433,11 +433,15 @@ const EditChannel = (props) => {
|
||||
{inputs.type === 8 && (
|
||||
<>
|
||||
<div style={{ marginTop: 10 }}>
|
||||
<Typography.Text strong>Base URL：</Typography.Text>
|
||||
<Typography.Text strong>
|
||||
完整的 Base URL，支持变量{'{model}'}：
|
||||
</Typography.Text>
|
||||
</div>
|
||||
<Input
|
||||
name='base_url'
|
||||
placeholder={'请输入自定义渠道的 Base URL'}
|
||||
placeholder={
|
||||
'请输入完整的URL，例如：https://api.openai.com/v1/chat/completions'
|
||||
}
|
||||
onChange={(value) => {
|
||||
handleInputChange('base_url', value);
|
||||
}}
|
||||
|
||||
@@ -135,7 +135,7 @@ export default function SettingsMagnification(props) {
|
||||
<Row gutter={16}>
|
||||
<Col span={16}>
|
||||
<Form.TextArea
|
||||
label={'模型补全倍率'}
|
||||
label={'模型补全倍率（仅对自定义模型有效）'}
|
||||
extraText={'仅对自定义模型有效'}
|
||||
placeholder={'为一个 JSON 文本，键为模型名称，值为倍率'}
|
||||
field={'CompletionRatio'}
|
||||
|
||||
Reference in New Issue
Block a user