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11 Commits
v0.5.10-al
...
v0.5.10
Author | SHA1 | Date | |
---|---|---|---|
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67c64e71c8 | ||
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97030e27f8 | ||
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461f5dab56 | ||
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af378c59af | ||
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bc6769826b | ||
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0fe26cc4bd | ||
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7d6a169669 | ||
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66f06e5d6f | ||
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6acb9537a9 | ||
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7069c49bdf | ||
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58dee76bf7 |
@@ -73,13 +73,7 @@ _✨ 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] [智谱 ChatGLM 系列模型](https://bigmodel.cn)
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+ [x] [360 智脑](https://ai.360.cn)
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+ [x] [腾讯混元大模型](https://cloud.tencent.com/document/product/1729)
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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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+ [x] [CloseAI](https://referer.shadowai.xyz/r/2412)
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+ [x] [API2D](https://api2d.com/r/197971)
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+ [x] [OhMyGPT](https://aigptx.top?aff=uFpUl2Kf)
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+ [x] [AI Proxy](https://aiproxy.io/?i=OneAPI) (邀请码:`OneAPI`)
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+ [x] 自定义渠道:例如各种未收录的第三方代理服务
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2. 支持配置镜像以及众多[第三方代理服务](https://iamazing.cn/page/openai-api-third-party-services)。
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3. 支持通过**负载均衡**的方式访问多个渠道。
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4. 支持 **stream 模式**,可以通过流式传输实现打字机效果。
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5. 支持**多机部署**,[详见此处](#多机部署)。
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@@ -371,6 +365,7 @@ graph LR
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+ `TIKTOKEN_CACHE_DIR`:默认程序启动时会联网下载一些通用的词元的编码,如:`gpt-3.5-turbo`,在一些网络环境不稳定,或者离线情况,可能会导致启动有问题,可以配置此目录缓存数据,可迁移到离线环境。
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+ `DATA_GYM_CACHE_DIR`:目前该配置作用与 `TIKTOKEN_CACHE_DIR` 一致,但是优先级没有它高。
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15. `RELAY_TIMEOUT`:中继超时设置,单位为秒,默认不设置超时时间。
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16. `SQLITE_BUSY_TIMEOUT`:SQLite 锁等待超时设置,单位为毫秒,默认 `3000`。
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### 命令行参数
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1. `--port <port_number>`: 指定服务器监听的端口号,默认为 `3000`。
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|
@@ -4,3 +4,4 @@ var UsingSQLite = false
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var UsingPostgreSQL = false
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var SQLitePath = "one-api.db"
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var SQLiteBusyTimeout = GetOrDefault("SQLITE_BUSY_TIMEOUT", 3000)
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|
@@ -88,8 +88,10 @@ var ModelRatio = map[string]float64{
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"chatglm_pro": 0.7143, // ¥0.01 / 1k tokens
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"chatglm_std": 0.3572, // ¥0.005 / 1k tokens
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"chatglm_lite": 0.1429, // ¥0.002 / 1k tokens
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"qwen-turbo": 0.8572, // ¥0.012 / 1k tokens
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"qwen-plus": 10, // ¥0.14 / 1k tokens
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"qwen-turbo": 0.5715, // ¥0.008 / 1k tokens // https://help.aliyun.com/zh/dashscope/developer-reference/tongyi-thousand-questions-metering-and-billing
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"qwen-plus": 1.4286, // ¥0.02 / 1k tokens
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"qwen-max": 1.4286, // ¥0.02 / 1k tokens
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"qwen-max-longcontext": 1.4286, // ¥0.02 / 1k tokens
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"text-embedding-v1": 0.05, // ¥0.0007 / 1k tokens
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"SparkDesk": 1.2858, // ¥0.018 / 1k tokens
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"360GPT_S2_V9": 0.8572, // ¥0.012 / 1k tokens
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|
@@ -486,6 +486,24 @@ func init() {
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Root: "qwen-plus",
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Parent: nil,
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},
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{
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Id: "qwen-max",
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Object: "model",
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Created: 1677649963,
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OwnedBy: "ali",
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||||
Permission: permission,
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Root: "qwen-max",
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Parent: nil,
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},
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{
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Id: "qwen-max-longcontext",
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Object: "model",
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Created: 1677649963,
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OwnedBy: "ali",
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||||
Permission: permission,
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Root: "qwen-max-longcontext",
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||||
Parent: nil,
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},
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{
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Id: "text-embedding-v1",
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Object: "model",
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|
@@ -13,13 +13,13 @@ import (
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||||
// https://help.aliyun.com/document_detail/613695.html?spm=a2c4g.2399480.0.0.1adb778fAdzP9w#341800c0f8w0r
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type AliMessage struct {
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User string `json:"user"`
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Bot string `json:"bot"`
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Content string `json:"content"`
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Role string `json:"role"`
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}
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type AliInput struct {
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Prompt string `json:"prompt"`
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History []AliMessage `json:"history"`
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//Prompt string `json:"prompt"`
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Messages []AliMessage `json:"messages"`
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}
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type AliParameters struct {
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@@ -83,32 +83,17 @@ type AliChatResponse struct {
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func requestOpenAI2Ali(request GeneralOpenAIRequest) *AliChatRequest {
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messages := make([]AliMessage, 0, len(request.Messages))
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prompt := ""
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for i := 0; i < len(request.Messages); i++ {
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message := request.Messages[i]
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if message.Role == "system" {
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messages = append(messages, AliMessage{
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User: message.StringContent(),
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Bot: "Okay",
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})
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continue
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} else {
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if i == len(request.Messages)-1 {
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prompt = message.StringContent()
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break
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}
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messages = append(messages, AliMessage{
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User: message.StringContent(),
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Bot: request.Messages[i+1].StringContent(),
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})
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i++
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}
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messages = append(messages, AliMessage{
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Content: message.StringContent(),
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Role: strings.ToLower(message.Role),
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})
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}
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return &AliChatRequest{
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Model: request.Model,
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Input: AliInput{
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Prompt: prompt,
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History: messages,
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Messages: messages,
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},
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//Parameters: AliParameters{ // ChatGPT's parameters are not compatible with Ali's
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// TopP: request.TopP,
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|
@@ -1,11 +1,13 @@
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package controller
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import (
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"bufio"
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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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"strings"
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"github.com/gin-gonic/gin"
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)
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@@ -112,7 +114,7 @@ func requestOpenAI2Gemini(textRequest GeneralOpenAIRequest) *GeminiChatRequest {
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Role: "model",
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Parts: []GeminiPart{
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{
|
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Text: "ok",
|
||||
Text: "Okay",
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||||
},
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||||
},
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})
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@@ -128,6 +130,16 @@ type GeminiChatResponse struct {
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||||
PromptFeedback GeminiChatPromptFeedback `json:"promptFeedback"`
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}
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func (g *GeminiChatResponse) GetResponseText() string {
|
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if g == nil {
|
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return ""
|
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}
|
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if len(g.Candidates) > 0 && len(g.Candidates[0].Content.Parts) > 0 {
|
||||
return g.Candidates[0].Content.Parts[0].Text
|
||||
}
|
||||
return ""
|
||||
}
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||||
|
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type GeminiChatCandidate struct {
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Content GeminiChatContent `json:"content"`
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FinishReason string `json:"finishReason"`
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@@ -156,10 +168,13 @@ func responseGeminiChat2OpenAI(response *GeminiChatResponse) *OpenAITextResponse
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Index: i,
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Message: Message{
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||||
Role: "assistant",
|
||||
Content: candidate.Content.Parts[0].Text,
|
||||
Content: "",
|
||||
},
|
||||
FinishReason: stopFinishReason,
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}
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||||
if len(candidate.Content.Parts) > 0 {
|
||||
choice.Message.Content = candidate.Content.Parts[0].Text
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}
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fullTextResponse.Choices = append(fullTextResponse.Choices, choice)
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}
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return &fullTextResponse
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@@ -167,9 +182,7 @@ func responseGeminiChat2OpenAI(response *GeminiChatResponse) *OpenAITextResponse
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func streamResponseGeminiChat2OpenAI(geminiResponse *GeminiChatResponse) *ChatCompletionsStreamResponse {
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var choice ChatCompletionsStreamResponseChoice
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if len(geminiResponse.Candidates) > 0 && len(geminiResponse.Candidates[0].Content.Parts) > 0 {
|
||||
choice.Delta.Content = geminiResponse.Candidates[0].Content.Parts[0].Text
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||||
}
|
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choice.Delta.Content = geminiResponse.GetResponseText()
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choice.FinishReason = &stopFinishReason
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var response ChatCompletionsStreamResponse
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response.Object = "chat.completion.chunk"
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||||
@@ -180,50 +193,61 @@ func streamResponseGeminiChat2OpenAI(geminiResponse *GeminiChatResponse) *ChatCo
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||||
|
||||
func geminiChatStreamHandler(c *gin.Context, resp *http.Response) (*OpenAIErrorWithStatusCode, string) {
|
||||
responseText := ""
|
||||
responseId := fmt.Sprintf("chatcmpl-%s", common.GetUUID())
|
||||
createdTime := common.GetTimestamp()
|
||||
dataChan := make(chan string)
|
||||
stopChan := make(chan bool)
|
||||
scanner := bufio.NewScanner(resp.Body)
|
||||
scanner.Split(func(data []byte, atEOF bool) (advance int, token []byte, err error) {
|
||||
if atEOF && len(data) == 0 {
|
||||
return 0, nil, nil
|
||||
}
|
||||
if i := strings.Index(string(data), "\n"); i >= 0 {
|
||||
return i + 1, data[0:i], nil
|
||||
}
|
||||
if atEOF {
|
||||
return len(data), data, nil
|
||||
}
|
||||
return 0, nil, nil
|
||||
})
|
||||
go func() {
|
||||
responseBody, err := io.ReadAll(resp.Body)
|
||||
if err != nil {
|
||||
common.SysError("error reading stream response: " + err.Error())
|
||||
stopChan <- true
|
||||
return
|
||||
for scanner.Scan() {
|
||||
data := scanner.Text()
|
||||
data = strings.TrimSpace(data)
|
||||
if !strings.HasPrefix(data, "\"text\": \"") {
|
||||
continue
|
||||
}
|
||||
data = strings.TrimPrefix(data, "\"text\": \"")
|
||||
data = strings.TrimSuffix(data, "\"")
|
||||
dataChan <- data
|
||||
}
|
||||
err = resp.Body.Close()
|
||||
if err != nil {
|
||||
common.SysError("error closing stream response: " + err.Error())
|
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stopChan <- true
|
||||
return
|
||||
}
|
||||
var geminiResponse GeminiChatResponse
|
||||
err = json.Unmarshal(responseBody, &geminiResponse)
|
||||
if err != nil {
|
||||
common.SysError("error unmarshalling stream response: " + err.Error())
|
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stopChan <- true
|
||||
return
|
||||
}
|
||||
fullTextResponse := streamResponseGeminiChat2OpenAI(&geminiResponse)
|
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fullTextResponse.Id = responseId
|
||||
fullTextResponse.Created = createdTime
|
||||
if len(geminiResponse.Candidates) > 0 && len(geminiResponse.Candidates[0].Content.Parts) > 0 {
|
||||
responseText += geminiResponse.Candidates[0].Content.Parts[0].Text
|
||||
}
|
||||
jsonResponse, err := json.Marshal(fullTextResponse)
|
||||
if err != nil {
|
||||
common.SysError("error marshalling stream response: " + err.Error())
|
||||
stopChan <- true
|
||||
return
|
||||
}
|
||||
dataChan <- string(jsonResponse)
|
||||
stopChan <- true
|
||||
}()
|
||||
setEventStreamHeaders(c)
|
||||
c.Stream(func(w io.Writer) bool {
|
||||
select {
|
||||
case data := <-dataChan:
|
||||
c.Render(-1, common.CustomEvent{Data: "data: " + data})
|
||||
// this is used to prevent annoying \ related format bug
|
||||
data = fmt.Sprintf("{\"content\": \"%s\"}", data)
|
||||
type dummyStruct struct {
|
||||
Content string `json:"content"`
|
||||
}
|
||||
var dummy dummyStruct
|
||||
err := json.Unmarshal([]byte(data), &dummy)
|
||||
responseText += dummy.Content
|
||||
var choice ChatCompletionsStreamResponseChoice
|
||||
choice.Delta.Content = dummy.Content
|
||||
response := ChatCompletionsStreamResponse{
|
||||
Id: fmt.Sprintf("chatcmpl-%s", common.GetUUID()),
|
||||
Object: "chat.completion.chunk",
|
||||
Created: common.GetTimestamp(),
|
||||
Model: "gemini-pro",
|
||||
Choices: []ChatCompletionsStreamResponseChoice{choice},
|
||||
}
|
||||
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]"})
|
||||
@@ -263,7 +287,7 @@ func geminiChatHandler(c *gin.Context, resp *http.Response, promptTokens int, mo
|
||||
}, nil
|
||||
}
|
||||
fullTextResponse := responseGeminiChat2OpenAI(&geminiResponse)
|
||||
completionTokens := countTokenText(geminiResponse.Candidates[0].Content.Parts[0].Text, model)
|
||||
completionTokens := countTokenText(geminiResponse.GetResponseText(), model)
|
||||
usage := Usage{
|
||||
PromptTokens: promptTokens,
|
||||
CompletionTokens: completionTokens,
|
||||
|
@@ -19,7 +19,6 @@ func isWithinRange(element string, value int) bool {
|
||||
if _, ok := common.DalleGenerationImageAmounts[element]; !ok {
|
||||
return false
|
||||
}
|
||||
|
||||
min := common.DalleGenerationImageAmounts[element][0]
|
||||
max := common.DalleGenerationImageAmounts[element][1]
|
||||
|
||||
@@ -42,6 +41,10 @@ func relayImageHelper(c *gin.Context, relayMode int) *OpenAIErrorWithStatusCode
|
||||
return errorWrapper(err, "bind_request_body_failed", http.StatusBadRequest)
|
||||
}
|
||||
|
||||
if imageRequest.N == 0 {
|
||||
imageRequest.N = 1
|
||||
}
|
||||
|
||||
// Size validation
|
||||
if imageRequest.Size != "" {
|
||||
imageSize = imageRequest.Size
|
||||
@@ -79,7 +82,10 @@ func relayImageHelper(c *gin.Context, relayMode int) *OpenAIErrorWithStatusCode
|
||||
|
||||
// Number of generated images validation
|
||||
if isWithinRange(imageModel, imageRequest.N) == false {
|
||||
return errorWrapper(errors.New("invalid value of n"), "n_not_within_range", http.StatusBadRequest)
|
||||
// channel not azure
|
||||
if channelType != common.ChannelTypeAzure {
|
||||
return errorWrapper(errors.New("invalid value of n"), "n_not_within_range", http.StatusBadRequest)
|
||||
}
|
||||
}
|
||||
|
||||
// map model name
|
||||
@@ -102,7 +108,7 @@ func relayImageHelper(c *gin.Context, relayMode int) *OpenAIErrorWithStatusCode
|
||||
baseURL = c.GetString("base_url")
|
||||
}
|
||||
fullRequestURL := getFullRequestURL(baseURL, requestURL, channelType)
|
||||
if channelType == common.ChannelTypeAzure && relayMode == RelayModeImagesGenerations {
|
||||
if channelType == common.ChannelTypeAzure {
|
||||
// https://learn.microsoft.com/en-us/azure/ai-services/openai/dall-e-quickstart?tabs=dalle3%2Ccommand-line&pivots=rest-api
|
||||
apiVersion := GetAPIVersion(c)
|
||||
// https://{resource_name}.openai.azure.com/openai/deployments/dall-e-3/images/generations?api-version=2023-06-01-preview
|
||||
|
@@ -58,6 +58,9 @@ func relayTextHelper(c *gin.Context, relayMode int) *OpenAIErrorWithStatusCode {
|
||||
if err != nil {
|
||||
return errorWrapper(err, "bind_request_body_failed", http.StatusBadRequest)
|
||||
}
|
||||
if textRequest.MaxTokens < 0 || textRequest.MaxTokens > math.MaxInt32/2 {
|
||||
return errorWrapper(errors.New("max_tokens is invalid"), "invalid_max_tokens", http.StatusBadRequest)
|
||||
}
|
||||
if relayMode == RelayModeModerations && textRequest.Model == "" {
|
||||
textRequest.Model = "text-moderation-latest"
|
||||
}
|
||||
@@ -190,10 +193,9 @@ func relayTextHelper(c *gin.Context, relayMode int) *OpenAIErrorWithStatusCode {
|
||||
version = c.GetString("api_version")
|
||||
}
|
||||
action := "generateContent"
|
||||
// actually gemini does not support stream, it's fake
|
||||
//if textRequest.Stream {
|
||||
// action = "streamGenerateContent"
|
||||
//}
|
||||
if textRequest.Stream {
|
||||
action = "streamGenerateContent"
|
||||
}
|
||||
fullRequestURL = fmt.Sprintf("%s/%s/models/%s:%s", requestBaseURL, version, textRequest.Model, action)
|
||||
apiKey := c.Request.Header.Get("Authorization")
|
||||
apiKey = strings.TrimPrefix(apiKey, "Bearer ")
|
||||
|
@@ -263,11 +263,52 @@ func setEventStreamHeaders(c *gin.Context) {
|
||||
c.Writer.Header().Set("X-Accel-Buffering", "no")
|
||||
}
|
||||
|
||||
type GeneralErrorResponse struct {
|
||||
Error OpenAIError `json:"error"`
|
||||
Message string `json:"message"`
|
||||
Msg string `json:"msg"`
|
||||
Err string `json:"err"`
|
||||
ErrorMsg string `json:"error_msg"`
|
||||
Header struct {
|
||||
Message string `json:"message"`
|
||||
} `json:"header"`
|
||||
Response struct {
|
||||
Error struct {
|
||||
Message string `json:"message"`
|
||||
} `json:"error"`
|
||||
} `json:"response"`
|
||||
}
|
||||
|
||||
func (e GeneralErrorResponse) ToMessage() string {
|
||||
if e.Error.Message != "" {
|
||||
return e.Error.Message
|
||||
}
|
||||
if e.Message != "" {
|
||||
return e.Message
|
||||
}
|
||||
if e.Msg != "" {
|
||||
return e.Msg
|
||||
}
|
||||
if e.Err != "" {
|
||||
return e.Err
|
||||
}
|
||||
if e.ErrorMsg != "" {
|
||||
return e.ErrorMsg
|
||||
}
|
||||
if e.Header.Message != "" {
|
||||
return e.Header.Message
|
||||
}
|
||||
if e.Response.Error.Message != "" {
|
||||
return e.Response.Error.Message
|
||||
}
|
||||
return ""
|
||||
}
|
||||
|
||||
func relayErrorHandler(resp *http.Response) (openAIErrorWithStatusCode *OpenAIErrorWithStatusCode) {
|
||||
openAIErrorWithStatusCode = &OpenAIErrorWithStatusCode{
|
||||
StatusCode: resp.StatusCode,
|
||||
OpenAIError: OpenAIError{
|
||||
Message: fmt.Sprintf("bad response status code %d", resp.StatusCode),
|
||||
Message: "",
|
||||
Type: "upstream_error",
|
||||
Code: "bad_response_status_code",
|
||||
Param: strconv.Itoa(resp.StatusCode),
|
||||
@@ -281,12 +322,20 @@ func relayErrorHandler(resp *http.Response) (openAIErrorWithStatusCode *OpenAIEr
|
||||
if err != nil {
|
||||
return
|
||||
}
|
||||
var textResponse TextResponse
|
||||
err = json.Unmarshal(responseBody, &textResponse)
|
||||
var errResponse GeneralErrorResponse
|
||||
err = json.Unmarshal(responseBody, &errResponse)
|
||||
if err != nil {
|
||||
return
|
||||
}
|
||||
openAIErrorWithStatusCode.OpenAIError = textResponse.Error
|
||||
if errResponse.Error.Message != "" {
|
||||
// OpenAI format error, so we override the default one
|
||||
openAIErrorWithStatusCode.OpenAIError = errResponse.Error
|
||||
} else {
|
||||
openAIErrorWithStatusCode.OpenAIError.Message = errResponse.ToMessage()
|
||||
}
|
||||
if openAIErrorWithStatusCode.OpenAIError.Message == "" {
|
||||
openAIErrorWithStatusCode.OpenAIError.Message = fmt.Sprintf("bad response status code %d", resp.StatusCode)
|
||||
}
|
||||
return
|
||||
}
|
||||
|
||||
|
@@ -230,7 +230,13 @@ func xunfeiHandler(c *gin.Context, textRequest GeneralOpenAIRequest, appId strin
|
||||
case stop = <-stopChan:
|
||||
}
|
||||
}
|
||||
|
||||
if len(xunfeiResponse.Payload.Choices.Text) == 0 {
|
||||
xunfeiResponse.Payload.Choices.Text = []XunfeiChatResponseTextItem{
|
||||
{
|
||||
Content: "",
|
||||
},
|
||||
}
|
||||
}
|
||||
xunfeiResponse.Payload.Choices.Text[0].Content = content
|
||||
|
||||
response := responseXunfei2OpenAI(&xunfeiResponse)
|
||||
|
@@ -236,7 +236,7 @@ type ChatCompletionsStreamResponseChoice struct {
|
||||
Delta struct {
|
||||
Content string `json:"content"`
|
||||
} `json:"delta"`
|
||||
FinishReason *string `json:"finish_reason"`
|
||||
FinishReason *string `json:"finish_reason,omitempty"`
|
||||
}
|
||||
|
||||
type ChatCompletionsStreamResponse struct {
|
||||
|
@@ -1,6 +1,7 @@
|
||||
package model
|
||||
|
||||
import (
|
||||
"fmt"
|
||||
"gorm.io/driver/mysql"
|
||||
"gorm.io/driver/postgres"
|
||||
"gorm.io/driver/sqlite"
|
||||
@@ -59,7 +60,8 @@ func chooseDB() (*gorm.DB, error) {
|
||||
// Use SQLite
|
||||
common.SysLog("SQL_DSN not set, using SQLite as database")
|
||||
common.UsingSQLite = true
|
||||
return gorm.Open(sqlite.Open(common.SQLitePath), &gorm.Config{
|
||||
config := fmt.Sprintf("?_busy_timeout=%d", common.SQLiteBusyTimeout)
|
||||
return gorm.Open(sqlite.Open(common.SQLitePath+config), &gorm.Config{
|
||||
PrepareStmt: true, // precompile SQL
|
||||
})
|
||||
}
|
||||
|
@@ -69,7 +69,7 @@ const EditChannel = () => {
|
||||
localModels = ['ERNIE-Bot', 'ERNIE-Bot-turbo', 'ERNIE-Bot-4', 'Embedding-V1'];
|
||||
break;
|
||||
case 17:
|
||||
localModels = ['qwen-turbo', 'qwen-plus', 'text-embedding-v1'];
|
||||
localModels = ['qwen-turbo', 'qwen-plus', 'qwen-max', 'qwen-max-longcontext', 'text-embedding-v1'];
|
||||
break;
|
||||
case 16:
|
||||
localModels = ['chatglm_turbo', 'chatglm_pro', 'chatglm_std', 'chatglm_lite'];
|
||||
|
Reference in New Issue
Block a user