修改日志详情为模型单价
This commit is contained in:
wood
parent
724ca3ccd8
commit
fff889742b
@ -7,7 +7,7 @@ docker pull woodchen/czloapi
|
|||||||
|
|
||||||
- [x] 当用户充值达到5刀时，自动提升为vip分组；
|
- [x] 当用户充值达到5刀时，自动提升为vip分组；
|
||||||
- [x] 修改颜色
|
- [x] 修改颜色
|
||||||
- [x] 日志页面新增快速筛选日期、修复渠道ID查询、自动更新消耗额度、修改日志详情（因为没有太大意义）；
|
- [x] 日志页面新增快速筛选日期、修复渠道ID查询、自动更新消耗额度、修改日志详情；
|
||||||
- [x] 用户管理界面，支持快速设置用户组，在`web\src\components\UsersTable.js`处修改相关值；
|
- [x] 用户管理界面，支持快速设置用户组，在`web\src\components\UsersTable.js`处修改相关值；
|
||||||
- [x] 令牌界面，删除无用的多种复制、聊天等按钮；
|
- [x] 令牌界面，删除无用的多种复制、聊天等按钮；
|
||||||
- [x] 删除系统访问令牌；
|
- [x] 删除系统访问令牌；
|
||||||
|
|||||||
@ -20,15 +20,15 @@ var ModelRatio = map[string]float64{
|
|||||||
"gpt-4-32k": 30,
|
"gpt-4-32k": 30,
|
||||||
"gpt-4-32k-0314": 30,
|
"gpt-4-32k-0314": 30,
|
||||||
"gpt-4-32k-0613": 30,
|
"gpt-4-32k-0613": 30,
|
||||||
"gpt-4-1106-preview": 5, // $0.01 / 1K tokens
|
"gpt-4-1106-preview": 5,
|
||||||
"gpt-4-vision-preview": 5, // $0.01 / 1K tokens
|
"gpt-4-vision-preview": 5,
|
||||||
"gpt-3.5-turbo": 0.75, // $0.0015 / 1K tokens
|
"gpt-3.5-turbo": 0.75,
|
||||||
"gpt-3.5-turbo-0301": 0.75,
|
"gpt-3.5-turbo-0301": 0.75,
|
||||||
"gpt-3.5-turbo-0613": 0.75,
|
"gpt-3.5-turbo-0613": 0.75,
|
||||||
"gpt-3.5-turbo-16k": 1.5, // $0.003 / 1K tokens
|
"gpt-3.5-turbo-16k": 1.5,
|
||||||
"gpt-3.5-turbo-16k-0613": 1.5,
|
"gpt-3.5-turbo-16k-0613": 1.5,
|
||||||
"gpt-3.5-turbo-instruct": 0.75, // $0.0015 / 1K tokens
|
"gpt-3.5-turbo-instruct": 0.75,
|
||||||
"gpt-3.5-turbo-1106": 0.5, // $0.001 / 1K tokens
|
"gpt-3.5-turbo-1106": 0.5,
|
||||||
"text-ada-001": 0.2,
|
"text-ada-001": 0.2,
|
||||||
"text-babbage-001": 0.25,
|
"text-babbage-001": 0.25,
|
||||||
"text-curie-001": 1,
|
"text-curie-001": 1,
|
||||||
@ -36,7 +36,7 @@ var ModelRatio = map[string]float64{
|
|||||||
"text-davinci-003": 10,
|
"text-davinci-003": 10,
|
||||||
"text-davinci-edit-001": 10,
|
"text-davinci-edit-001": 10,
|
||||||
"code-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
|
"whisper-1": 15,
|
||||||
"davinci": 10,
|
"davinci": 10,
|
||||||
"curie": 10,
|
"curie": 10,
|
||||||
"babbage": 10,
|
"babbage": 10,
|
||||||
@ -47,26 +47,26 @@ var ModelRatio = map[string]float64{
|
|||||||
"text-moderation-latest": 0.1,
|
"text-moderation-latest": 0.1,
|
||||||
"dall-e": 8,
|
"dall-e": 8,
|
||||||
"dall-e-3": 20,
|
"dall-e-3": 20,
|
||||||
"claude-instant-1": 0.815, // $1.63 / 1M tokens
|
"claude-instant-1": 0.815,
|
||||||
"claude-2": 5.51, // $11.02 / 1M tokens
|
"claude-2": 5.51,
|
||||||
"ERNIE-Bot": 0.8572, // ￥0.012 / 1k tokens
|
"ERNIE-Bot": 0.8572,
|
||||||
"ERNIE-Bot-turbo": 0.5715, // ￥0.008 / 1k tokens
|
"ERNIE-Bot-turbo": 0.5715,
|
||||||
"ERNIE-Bot-4": 8.572, // ￥0.12 / 1k tokens
|
"ERNIE-Bot-4": 8.572,
|
||||||
"Embedding-V1": 0.1429, // ￥0.002 / 1k tokens
|
"Embedding-V1": 0.1429,
|
||||||
"PaLM-2": 1,
|
"PaLM-2": 1,
|
||||||
"chatglm_turbo": 0.3572, // ￥0.005 / 1k tokens
|
"chatglm_turbo": 0.3572,
|
||||||
"chatglm_pro": 0.7143, // ￥0.01 / 1k tokens
|
"chatglm_pro": 0.7143,
|
||||||
"chatglm_std": 0.3572, // ￥0.005 / 1k tokens
|
"chatglm_std": 0.3572,
|
||||||
"chatglm_lite": 0.1429, // ￥0.002 / 1k tokens
|
"chatglm_lite": 0.1429,
|
||||||
"qwen-turbo": 0.8572, // ￥0.012 / 1k tokens
|
"qwen-turbo": 0.8572,
|
||||||
"qwen-plus": 10, // ￥0.14 / 1k tokens
|
"qwen-plus": 10,
|
||||||
"text-embedding-v1": 0.05, // ￥0.0007 / 1k tokens
|
"text-embedding-v1": 0.05,
|
||||||
"SparkDesk": 1.2858, // ￥0.018 / 1k tokens
|
"SparkDesk": 1.2858,
|
||||||
"360GPT_S2_V9": 0.8572, // ¥0.012 / 1k tokens
|
"360GPT_S2_V9": 0.8572,
|
||||||
"embedding-bert-512-v1": 0.0715, // ¥0.001 / 1k tokens
|
"embedding-bert-512-v1": 0.0715,
|
||||||
"embedding_s1_v1": 0.0715, // ¥0.001 / 1k tokens
|
"embedding_s1_v1": 0.0715,
|
||||||
"semantic_similarity_s1_v1": 0.0715, // ¥0.001 / 1k tokens
|
"semantic_similarity_s1_v1": 0.0715,
|
||||||
"hunyuan": 7.143, // ¥0.1 / 1k tokens // https://cloud.tencent.com/document/product/1729/97731#e0e6be58-60c8-469f-bdeb-6c264ce3b4d0
|
"hunyuan": 7.143,
|
||||||
}
|
}
|
||||||
|
|
||||||
func ModelRatio2JSONString() string {
|
func ModelRatio2JSONString() string {
|
||||||
|
|||||||
@ -435,7 +435,9 @@ func relayTextHelper(c *gin.Context, relayMode int) *OpenAIErrorWithStatusCode {
|
|||||||
common.LogError(ctx, "error update user quota cache: "+err.Error())
|
common.LogError(ctx, "error update user quota cache: "+err.Error())
|
||||||
}
|
}
|
||||||
if quota != 0 {
|
if quota != 0 {
|
||||||
logContent := fmt.Sprintf("模型倍率 %.4f", modelRatio)
|
// logContent := fmt.Sprintf("模型倍率 %.4f", modelRatio)
|
||||||
|
ratio = ratio * 0.002
|
||||||
|
logContent := fmt.Sprintf("提示: $%.10g/1k tokens", ratio)
|
||||||
model.RecordConsumeLog(ctx, userId, channelId, promptTokens, completionTokens, textRequest.Model, tokenName, quota, logContent)
|
model.RecordConsumeLog(ctx, userId, channelId, promptTokens, completionTokens, textRequest.Model, tokenName, quota, logContent)
|
||||||
model.UpdateUserUsedQuotaAndRequestCount(userId, quota)
|
model.UpdateUserUsedQuotaAndRequestCount(userId, quota)
|
||||||
model.UpdateChannelUsedQuota(channelId, quota)
|
model.UpdateChannelUsedQuota(channelId, quota)
|
||||||
|
|||||||
@ -414,7 +414,7 @@ const LogsTable = () => {
|
|||||||
}}
|
}}
|
||||||
width={isAdminUser ? 4 : 6}
|
width={isAdminUser ? 4 : 6}
|
||||||
>
|
>
|
||||||
详情(1=$0.002/1K tokens)
|
详情
|
||||||
</Table.HeaderCell>
|
</Table.HeaderCell>
|
||||||
</Table.Row>
|
</Table.Row>
|
||||||
</Table.Header>
|
</Table.Header>
|
||||||
|
|||||||
Loading…
Reference in New Issue
Block a user