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Commit c0636950 by CaIon
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Merge remote-tracking branch 'origin/main' 

# Conflicts:
#	controller/relay.go
#	main.go
#	middleware/distributor.go
parents f73ecc57 b31a9d75
Showing with 1026 additions and 186 deletions
README.md
......@@ -68,6 +68,7 @@ _✨ 通过标准的 OpenAI API 格式访问所有的大模型，开箱即用
+ [x] [阿里通义千问系列模型](https://help.aliyun.com/document_detail/2400395.html)
+ [x] [讯飞星火认知大模型](https://www.xfyun.cn/doc/spark/Web.html)
+ [x] [智谱 ChatGLM 系列模型](https://bigmodel.cn)
+ [x] [360 智脑](https://ai.360.cn)
2. 支持配置镜像以及众多第三方代理服务：
+ [x] [OpenAI-SB](https://openai-sb.com)
+ [x] [API2D](https://api2d.com/r/197971)
......@@ -108,6 +109,8 @@ _✨ 通过标准的 OpenAI API 格式访问所有的大模型，开箱即用
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。
如果启动失败，请添加 `--privileged=true`，具体参考 https://github.com/songquanpeng/one-api/issues/482 。
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。
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。
......@@ -274,8 +277,9 @@ graph LR
不加的话将会使用负载均衡的方式使用多个渠道。
### 环境变量
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。
1. `REDIS_CONN_STRING`：设置之后将使用 Redis 作为缓存使用。
+ 例子：`REDIS_CONN_STRING=redis://default:redispw@localhost:49153`
+ 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。
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。
+ 例子：`SESSION_SECRET=random_string`
3. `SQL_DSN`：设置之后将使用指定数据库而非 SQLite，请使用 MySQL 或 PostgreSQL。
......@@ -302,6 +306,14 @@ graph LR
+ 例子：`CHANNEL_TEST_FREQUENCY=1440`
9. `POLLING_INTERVAL`：批量更新渠道余额以及测试可用性时的请求间隔，单位为秒，默认无间隔。
+ 例子：`POLLING_INTERVAL=5`
10. `BATCH_UPDATE_ENABLED`：启用数据库批量更新聚合，会导致用户额度的更新存在一定的延迟可选值为 `true` 和 `false`，未设置则默认为 `false`。
+ 例子：`BATCH_UPDATE_ENABLED=true`
+ 如果你遇到了数据库连接数过多的问题，可以尝试启用该选项。
11. `BATCH_UPDATE_INTERVAL=5`：批量更新聚合的时间间隔，单位为秒，默认为 `5`。
+ 例子：`BATCH_UPDATE_INTERVAL=5`
12. 请求频率限制：
+ `GLOBAL_API_RATE_LIMIT`：全局 API 速率限制（除中继请求外），单 ip 三分钟内的最大请求数，默认为 `180`。
+ `GLOBAL_WEB_RATE_LIMIT`：全局 Web 速率限制，单 ip 三分钟内的最大请求数，默认为 `60`。
### 命令行参数
1. `--port <port_number>`: 指定服务器监听的端口号，默认为 `3000`。
......@@ -338,6 +350,7 @@ https://openai.justsong.cn
5. ChatGPT Next Web 报错：`Failed to fetch`
+ 部署的时候不要设置 `BASE_URL`。
+ 检查你的接口地址和 API Key 有没有填对。
+ 检查是否启用了 HTTPS，浏览器会拦截 HTTPS 域名下的 HTTP 请求。
6. 报错：`当前分组负载已饱和，请稍后再试`
+ 上游通道 429 了。
......
common/constants.go
......@@ -98,6 +98,9 @@ var RequestInterval = time.Duration(requestInterval) * time.Second
var SyncFrequency = 10 * 60 // unit is second, will be overwritten by SYNC_FREQUENCY
var BatchUpdateEnabled = false
var BatchUpdateInterval = GetOrDefault("BATCH_UPDATE_INTERVAL", 5)
const (
RoleGuestUser = 0
RoleCommonUser = 1
......@@ -115,10 +118,10 @@ var (
// All duration's unit is seconds
// Shouldn't larger then RateLimitKeyExpirationDuration
var (
GlobalApiRateLimitNum = 180
GlobalApiRateLimitNum = GetOrDefault("GLOBAL_API_RATE_LIMIT", 180)
GlobalApiRateLimitDuration int64 = 3 * 60
GlobalWebRateLimitNum = 60
GlobalWebRateLimitNum = GetOrDefault("GLOBAL_WEB_RATE_LIMIT", 60)
GlobalWebRateLimitDuration int64 = 3 * 60
UploadRateLimitNum = 10
......@@ -158,45 +161,53 @@ const (
)
const (
ChannelTypeUnknown = 0
ChannelTypeOpenAI = 1
ChannelTypeAPI2D = 2
ChannelTypeAzure = 3
ChannelTypeCloseAI = 4
ChannelTypeOpenAISB = 5
ChannelTypeOpenAIMax = 6
ChannelTypeOhMyGPT = 7
ChannelTypeCustom = 8
ChannelTypeAILS = 9
ChannelTypeAIProxy = 10
ChannelTypePaLM = 11
ChannelTypeAPI2GPT = 12
ChannelTypeAIGC2D = 13
ChannelTypeAnthropic = 14
ChannelTypeBaidu = 15
ChannelTypeZhipu = 16
ChannelTypeAli = 17
ChannelTypeXunfei = 18
ChannelTypeUnknown = 0
ChannelTypeOpenAI = 1
ChannelTypeAPI2D = 2
ChannelTypeAzure = 3
ChannelTypeCloseAI = 4
ChannelTypeOpenAISB = 5
ChannelTypeOpenAIMax = 6
ChannelTypeOhMyGPT = 7
ChannelTypeCustom = 8
ChannelTypeAILS = 9
ChannelTypeAIProxy = 10
ChannelTypePaLM = 11
ChannelTypeAPI2GPT = 12
ChannelTypeAIGC2D = 13
ChannelTypeAnthropic = 14
ChannelTypeBaidu = 15
ChannelTypeZhipu = 16
ChannelTypeAli = 17
ChannelTypeXunfei = 18
ChannelType360 = 19
ChannelTypeOpenRouter = 20
ChannelTypeAIProxyLibrary = 21
ChannelTypeFastGPT = 22
)
var ChannelBaseURLs = []string{
"", // 0
"https://api.openai.com", // 1
"https://oa.api2d.net", // 2
"", // 3
"https://api.closeai-proxy.xyz", // 4
"https://api.openai-sb.com", // 5
"https://api.openaimax.com", // 6
"https://api.ohmygpt.com", // 7
"", // 8
"https://api.caipacity.com", // 9
"https://api.aiproxy.io", // 10
"", // 11
"https://api.api2gpt.com", // 12
"https://api.aigc2d.com", // 13
"https://api.anthropic.com", // 14
"https://aip.baidubce.com", // 15
"https://open.bigmodel.cn", // 16
"https://dashscope.aliyuncs.com", // 17
"", // 18
"", // 0
"https://api.openai.com", // 1
"https://oa.api2d.net", // 2
"", // 3
"https://api.closeai-proxy.xyz", // 4
"https://api.openai-sb.com", // 5
"https://api.openaimax.com", // 6
"https://api.ohmygpt.com", // 7
"", // 8
"https://api.caipacity.com", // 9
"https://api.aiproxy.io", // 10
"", // 11
"https://api.api2gpt.com", // 12
"https://api.aigc2d.com", // 13
"https://api.anthropic.com", // 14
"https://aip.baidubce.com", // 15
"https://open.bigmodel.cn", // 16
"https://dashscope.aliyuncs.com", // 17
"", // 18
"https://ai.360.cn", // 19
"https://openrouter.ai/api", // 20
"https://api.aiproxy.io", // 21
"https://fastgpt.run/api/openapi", // 22
}
common/model-ratio.go
......@@ -13,46 +13,52 @@ import (
// 1 === $0.002 / 1K tokens
// 1 === ￥0.014 / 1k tokens
var ModelRatio = map[string]float64{
"gpt-4": 15,
"gpt-4-0314": 15,
"gpt-4-0613": 15,
"gpt-4-32k": 30,
"gpt-4-32k-0314": 30,
"gpt-4-32k-0613": 30,
"gpt-3.5-turbo": 0.75, // $0.0015 / 1K tokens
"gpt-3.5-turbo-0301": 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-0613": 1.5,
"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": 10,
"davinci": 10,
"curie": 10,
"babbage": 10,
"ada": 10,
"text-embedding-ada-002": 0.05,
"text-search-ada-doc-001": 10,
"text-moderation-stable": 0.1,
"text-moderation-latest": 0.1,
"dall-e": 8,
"claude-instant-1": 0.815, // $1.63 / 1M tokens
"claude-2": 5.51, // $11.02 / 1M tokens
"ERNIE-Bot": 0.8572, // ￥0.012 / 1k tokens
"ERNIE-Bot-turbo": 0.5715, // ￥0.008 / 1k tokens
"Embedding-V1": 0.1429, // ￥0.002 / 1k tokens
"PaLM-2": 1,
"chatglm_pro": 0.7143, // ￥0.01 / 1k tokens
"chatglm_std": 0.3572, // ￥0.005 / 1k tokens
"chatglm_lite": 0.1429, // ￥0.002 / 1k tokens
"qwen-v1": 0.8572, // TBD: https://help.aliyun.com/document_detail/2399482.html?spm=a2c4g.2399482.0.0.1ad347feilAgag
"qwen-plus-v1": 0.5715, // Same as above
"SparkDesk": 0.8572, // TBD
"gpt-4": 15,
"gpt-4-0314": 15,
"gpt-4-0613": 15,
"gpt-4-32k": 30,
"gpt-4-32k-0314": 30,
"gpt-4-32k-0613": 30,
"gpt-3.5-turbo": 0.75, // $0.0015 / 1K tokens
"gpt-3.5-turbo-0301": 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-0613": 1.5,
"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
"davinci": 10,
"curie": 10,
"babbage": 10,
"ada": 10,
"text-embedding-ada-002": 0.05,
"text-search-ada-doc-001": 10,
"text-moderation-stable": 0.1,
"text-moderation-latest": 0.1,
"dall-e": 8,
"claude-instant-1": 0.815, // $1.63 / 1M tokens
"claude-2": 5.51, // $11.02 / 1M tokens
"ERNIE-Bot": 0.8572, // ￥0.012 / 1k tokens
"ERNIE-Bot-turbo": 0.5715, // ￥0.008 / 1k tokens
"Embedding-V1": 0.1429, // ￥0.002 / 1k tokens
"PaLM-2": 1,
"chatglm_pro": 0.7143, // ￥0.01 / 1k tokens
"chatglm_std": 0.3572, // ￥0.005 / 1k tokens
"chatglm_lite": 0.1429, // ￥0.002 / 1k tokens
"qwen-v1": 0.8572, // ￥0.012 / 1k tokens
"qwen-plus-v1": 1, // ￥0.014 / 1k tokens
"text-embedding-v1": 0.05, // ￥0.0007 / 1k tokens
"SparkDesk": 1.2858, // ￥0.018 / 1k tokens
"360GPT_S2_V9": 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
"360GPT_S2_V9.4": 0.8572, // ¥0.012 / 1k tokens
}
func ModelRatio2JSONString() string {
......
controller/channel-test.go
......@@ -14,7 +14,7 @@ import (
"time"
)
func testChannel(channel *model.Channel, request ChatRequest) (error, *OpenAIError) {
func testChannel(channel *model.Channel, request ChatRequest) (err error, openaiErr *OpenAIError) {
switch channel.Type {
case common.ChannelTypePaLM:
fallthrough
......@@ -24,10 +24,19 @@ func testChannel(channel *model.Channel, request ChatRequest) (error, *OpenAIErr
fallthrough
case common.ChannelTypeZhipu:
fallthrough
case common.ChannelTypeAli:
fallthrough
case common.ChannelType360:
fallthrough
case common.ChannelTypeXunfei:
return errors.New("该渠道类型当前版本不支持测试，请手动测试"), nil
case common.ChannelTypeAzure:
request.Model = "gpt-35-turbo"
defer func() {
if err != nil {
err = errors.New("请确保已在 Azure 上创建了 gpt-35-turbo 模型，并且 apiVersion 已正确填写！")
}
}()
default:
request.Model = "gpt-3.5-turbo"
}
......
controller/channel.go
......@@ -85,7 +85,7 @@ func AddChannel(c *gin.Context) {
}
channel.CreatedTime = common.GetTimestamp()
keys := strings.Split(channel.Key, "\n")
channels := make([]model.Channel, 0)
channels := make([]model.Channel, 0, len(keys))
for _, key := range keys {
if key == "" {
continue
......
controller/model.go
......@@ -64,6 +64,15 @@ func init() {
Parent: nil,
},
{
Id: "whisper-1",
Object: "model",
Created: 1677649963,
OwnedBy: "openai",
Permission: permission,
Root: "whisper-1",
Parent: nil,
},
{
Id: "gpt-3.5-turbo",
Object: "model",
Created: 1677649963,
......@@ -352,6 +361,15 @@ func init() {
Parent: nil,
},
{
Id: "text-embedding-v1",
Object: "model",
Created: 1677649963,
OwnedBy: "ali",
Permission: permission,
Root: "text-embedding-v1",
Parent: nil,
},
{
Id: "SparkDesk",
Object: "model",
Created: 1677649963,
......@@ -360,6 +378,51 @@ func init() {
Root: "SparkDesk",
Parent: nil,
},
{
Id: "360GPT_S2_V9",
Object: "model",
Created: 1677649963,
OwnedBy: "360",
Permission: permission,
Root: "360GPT_S2_V9",
Parent: nil,
},
{
Id: "embedding-bert-512-v1",
Object: "model",
Created: 1677649963,
OwnedBy: "360",
Permission: permission,
Root: "embedding-bert-512-v1",
Parent: nil,
},
{
Id: "embedding_s1_v1",
Object: "model",
Created: 1677649963,
OwnedBy: "360",
Permission: permission,
Root: "embedding_s1_v1",
Parent: nil,
},
{
Id: "semantic_similarity_s1_v1",
Object: "model",
Created: 1677649963,
OwnedBy: "360",
Permission: permission,
Root: "semantic_similarity_s1_v1",
Parent: nil,
},
{
Id: "360GPT_S2_V9.4",
Object: "model",
Created: 1677649963,
OwnedBy: "360",
Permission: permission,
Root: "360GPT_S2_V9.4",
Parent: nil,
},
}
openAIModelsMap = make(map[string]OpenAIModels)
for _, model := range openAIModels {
......
controller/relay-aiproxy.go 0 → 100644
package controller
import (
"bufio"
"encoding/json"
"fmt"
"github.com/gin-gonic/gin"
"io"
"net/http"
"one-api/common"
"strconv"
"strings"
)
// https://docs.aiproxy.io/dev/library#使用已经定制好的知识库进行对话问答
type AIProxyLibraryRequest struct {
Model string `json:"model"`
Query string `json:"query"`
LibraryId string `json:"libraryId"`
Stream bool `json:"stream"`
}
type AIProxyLibraryError struct {
ErrCode int `json:"errCode"`
Message string `json:"message"`
}
type AIProxyLibraryDocument struct {
Title string `json:"title"`
URL string `json:"url"`
}
type AIProxyLibraryResponse struct {
Success bool `json:"success"`
Answer string `json:"answer"`
Documents []AIProxyLibraryDocument `json:"documents"`
AIProxyLibraryError
}
type AIProxyLibraryStreamResponse struct {
Content string `json:"content"`
Finish bool `json:"finish"`
Model string `json:"model"`
Documents []AIProxyLibraryDocument `json:"documents"`
}
func requestOpenAI2AIProxyLibrary(request GeneralOpenAIRequest) *AIProxyLibraryRequest {
query := ""
if len(request.Messages) != 0 {
query = request.Messages[len(request.Messages)-1].Content
}
return &AIProxyLibraryRequest{
Model: request.Model,
Stream: request.Stream,
Query: query,
}
}
func aiProxyDocuments2Markdown(documents []AIProxyLibraryDocument) string {
if len(documents) == 0 {
return ""
}
content := "\n\n参考文档：\n"
for i, document := range documents {
content += fmt.Sprintf("%d. [%s](%s)\n", i+1, document.Title, document.URL)
}
return content
}
func responseAIProxyLibrary2OpenAI(response *AIProxyLibraryResponse) *OpenAITextResponse {
content := response.Answer + aiProxyDocuments2Markdown(response.Documents)
choice := OpenAITextResponseChoice{
Index: 0,
Message: Message{
Role: "assistant",
Content: content,
},
FinishReason: "stop",
}
fullTextResponse := OpenAITextResponse{
Id: common.GetUUID(),
Object: "chat.completion",
Created: common.GetTimestamp(),
Choices: []OpenAITextResponseChoice{choice},
}
return &fullTextResponse
}
func documentsAIProxyLibrary(documents []AIProxyLibraryDocument) *ChatCompletionsStreamResponse {
var choice ChatCompletionsStreamResponseChoice
choice.Delta.Content = aiProxyDocuments2Markdown(documents)
choice.FinishReason = &stopFinishReason
return &ChatCompletionsStreamResponse{
Id: common.GetUUID(),
Object: "chat.completion.chunk",
Created: common.GetTimestamp(),
Model: "",
Choices: []ChatCompletionsStreamResponseChoice{choice},
}
}
func streamResponseAIProxyLibrary2OpenAI(response *AIProxyLibraryStreamResponse) *ChatCompletionsStreamResponse {
var choice ChatCompletionsStreamResponseChoice
choice.Delta.Content = response.Content
return &ChatCompletionsStreamResponse{
Id: common.GetUUID(),
Object: "chat.completion.chunk",
Created: common.GetTimestamp(),
Model: response.Model,
Choices: []ChatCompletionsStreamResponseChoice{choice},
}
}
func aiProxyLibraryStreamHandler(c *gin.Context, resp *http.Response) (*OpenAIErrorWithStatusCode, *Usage) {
var usage Usage
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
})
dataChan := make(chan string)
stopChan := make(chan bool)
go func() {
for scanner.Scan() {
data := scanner.Text()
if len(data) < 5 { // ignore blank line or wrong format
continue
}
if data[:5] != "data:" {
continue
}
data = data[5:]
dataChan <- data
}
stopChan <- true
}()
setEventStreamHeaders(c)
var documents []AIProxyLibraryDocument
c.Stream(func(w io.Writer) bool {
select {
case data := <-dataChan:
var AIProxyLibraryResponse AIProxyLibraryStreamResponse
err := json.Unmarshal([]byte(data), &AIProxyLibraryResponse)
if err != nil {
common.SysError("error unmarshalling stream response: " + err.Error())
return true
}
if len(AIProxyLibraryResponse.Documents) != 0 {
documents = AIProxyLibraryResponse.Documents
}
response := streamResponseAIProxyLibrary2OpenAI(&AIProxyLibraryResponse)
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:
response := documentsAIProxyLibrary(documents)
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)})
c.Render(-1, common.CustomEvent{Data: "data: [DONE]"})
return false
}
})
err := resp.Body.Close()
if err != nil {
return errorWrapper(err, "close_response_body_failed", http.StatusInternalServerError), nil
}
return nil, &usage
}
func aiProxyLibraryHandler(c *gin.Context, resp *http.Response) (*OpenAIErrorWithStatusCode, *Usage) {
var AIProxyLibraryResponse AIProxyLibraryResponse
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, &AIProxyLibraryResponse)
if err != nil {
return errorWrapper(err, "unmarshal_response_body_failed", http.StatusInternalServerError), nil
}
if AIProxyLibraryResponse.ErrCode != 0 {
return &OpenAIErrorWithStatusCode{
OpenAIError: OpenAIError{
Message: AIProxyLibraryResponse.Message,
Type: strconv.Itoa(AIProxyLibraryResponse.ErrCode),
Code: AIProxyLibraryResponse.ErrCode,
},
StatusCode: resp.StatusCode,
}, nil
}
fullTextResponse := responseAIProxyLibrary2OpenAI(&AIProxyLibraryResponse)
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
}
controller/relay-ali.go
......@@ -35,6 +35,29 @@ type AliChatRequest struct {
Parameters AliParameters `json:"parameters,omitempty"`
}
type AliEmbeddingRequest struct {
Model string `json:"model"`
Input struct {
Texts []string `json:"texts"`
} `json:"input"`
Parameters *struct {
TextType string `json:"text_type,omitempty"`
} `json:"parameters,omitempty"`
}
type AliEmbedding struct {
Embedding []float64 `json:"embedding"`
TextIndex int `json:"text_index"`
}
type AliEmbeddingResponse struct {
Output struct {
Embeddings []AliEmbedding `json:"embeddings"`
} `json:"output"`
Usage AliUsage `json:"usage"`
AliError
}
type AliError struct {
Code string `json:"code"`
Message string `json:"message"`
......@@ -44,6 +67,7 @@ type AliError struct {
type AliUsage struct {
InputTokens int `json:"input_tokens"`
OutputTokens int `json:"output_tokens"`
TotalTokens int `json:"total_tokens"`
}
type AliOutput struct {
......@@ -95,6 +119,70 @@ func requestOpenAI2Ali(request GeneralOpenAIRequest) *AliChatRequest {
}
}
func embeddingRequestOpenAI2Ali(request GeneralOpenAIRequest) *AliEmbeddingRequest {
return &AliEmbeddingRequest{
Model: "text-embedding-v1",
Input: struct {
Texts []string `json:"texts"`
}{
Texts: request.ParseInput(),
},
}
}
func aliEmbeddingHandler(c *gin.Context, resp *http.Response) (*OpenAIErrorWithStatusCode, *Usage) {
var aliResponse AliEmbeddingResponse
err := json.NewDecoder(resp.Body).Decode(&aliResponse)
if err != nil {
return errorWrapper(err, "unmarshal_response_body_failed", http.StatusInternalServerError), nil
}
err = resp.Body.Close()
if err != nil {
return errorWrapper(err, "close_response_body_failed", http.StatusInternalServerError), nil
}
if aliResponse.Code != "" {
return &OpenAIErrorWithStatusCode{
OpenAIError: OpenAIError{
Message: aliResponse.Message,
Type: aliResponse.Code,
Param: aliResponse.RequestId,
Code: aliResponse.Code,
},
StatusCode: resp.StatusCode,
}, nil
}
fullTextResponse := embeddingResponseAli2OpenAI(&aliResponse)
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
}
func embeddingResponseAli2OpenAI(response *AliEmbeddingResponse) *OpenAIEmbeddingResponse {
openAIEmbeddingResponse := OpenAIEmbeddingResponse{
Object: "list",
Data: make([]OpenAIEmbeddingResponseItem, 0, len(response.Output.Embeddings)),
Model: "text-embedding-v1",
Usage: Usage{TotalTokens: response.Usage.TotalTokens},
}
for _, item := range response.Output.Embeddings {
openAIEmbeddingResponse.Data = append(openAIEmbeddingResponse.Data, OpenAIEmbeddingResponseItem{
Object: `embedding`,
Index: item.TextIndex,
Embedding: item.Embedding,
})
}
return &openAIEmbeddingResponse
}
func responseAli2OpenAI(response *AliChatResponse) *OpenAITextResponse {
choice := OpenAITextResponseChoice{
Index: 0,
......
controller/relay-audio.go 0 → 100644
package controller
import (
"bytes"
"encoding/json"
"fmt"
"io"
"net/http"
"one-api/common"
"one-api/model"
"github.com/gin-gonic/gin"
)
func relayAudioHelper(c *gin.Context, relayMode int) *OpenAIErrorWithStatusCode {
audioModel := "whisper-1"
tokenId := c.GetInt("token_id")
channelType := c.GetInt("channel")
userId := c.GetInt("id")
group := c.GetString("group")
preConsumedTokens := common.PreConsumedQuota
modelRatio := common.GetModelRatio(audioModel)
groupRatio := common.GetGroupRatio(group)
ratio := modelRatio * groupRatio
preConsumedQuota := int(float64(preConsumedTokens) * ratio)
userQuota, err := model.CacheGetUserQuota(userId)
if err != nil {
return errorWrapper(err, "get_user_quota_failed", http.StatusInternalServerError)
}
err = model.CacheDecreaseUserQuota(userId, preConsumedQuota)
if err != nil {
return errorWrapper(err, "decrease_user_quota_failed", http.StatusInternalServerError)
}
if userQuota > 100*preConsumedQuota {
// in this case, we do not pre-consume quota
// because the user has enough quota
preConsumedQuota = 0
}
if preConsumedQuota > 0 {
err := model.PreConsumeTokenQuota(tokenId, preConsumedQuota)
if err != nil {
return errorWrapper(err, "pre_consume_token_quota_failed", http.StatusForbidden)
}
}
// map model name
modelMapping := c.GetString("model_mapping")
if modelMapping != "" {
modelMap := make(map[string]string)
err := json.Unmarshal([]byte(modelMapping), &modelMap)
if err != nil {
return errorWrapper(err, "unmarshal_model_mapping_failed", http.StatusInternalServerError)
}
if modelMap[audioModel] != "" {
audioModel = modelMap[audioModel]
}
}
baseURL := common.ChannelBaseURLs[channelType]
requestURL := c.Request.URL.String()
if c.GetString("base_url") != "" {
baseURL = c.GetString("base_url")
}
fullRequestURL := fmt.Sprintf("%s%s", baseURL, requestURL)
requestBody := c.Request.Body
req, err := http.NewRequest(c.Request.Method, fullRequestURL, requestBody)
if err != nil {
return errorWrapper(err, "new_request_failed", http.StatusInternalServerError)
}
req.Header.Set("Authorization", c.Request.Header.Get("Authorization"))
req.Header.Set("Content-Type", c.Request.Header.Get("Content-Type"))
req.Header.Set("Accept", c.Request.Header.Get("Accept"))
resp, err := httpClient.Do(req)
if err != nil {
return errorWrapper(err, "do_request_failed", http.StatusInternalServerError)
}
err = req.Body.Close()
if err != nil {
return errorWrapper(err, "close_request_body_failed", http.StatusInternalServerError)
}
err = c.Request.Body.Close()
if err != nil {
return errorWrapper(err, "close_request_body_failed", http.StatusInternalServerError)
}
var audioResponse AudioResponse
defer func() {
go func() {
quota := countTokenText(audioResponse.Text, audioModel)
quotaDelta := quota - preConsumedQuota
err := model.PostConsumeTokenQuota(tokenId, quotaDelta)
if err != nil {
common.SysError("error consuming token remain quota: " + err.Error())
}
err = model.CacheUpdateUserQuota(userId)
if err != nil {
common.SysError("error update user quota cache: " + err.Error())
}
if quota != 0 {
tokenName := c.GetString("token_name")
logContent := fmt.Sprintf("模型倍率 %.2f，分组倍率 %.2f", modelRatio, groupRatio)
model.RecordConsumeLog(userId, 0, 0, audioModel, tokenName, quota, logContent)
model.UpdateUserUsedQuotaAndRequestCount(userId, quota)
channelId := c.GetInt("channel_id")
model.UpdateChannelUsedQuota(channelId, quota)
}
}()
}()
responseBody, err := io.ReadAll(resp.Body)
if err != nil {
return errorWrapper(err, "read_response_body_failed", http.StatusInternalServerError)
}
err = resp.Body.Close()
if err != nil {
return errorWrapper(err, "close_response_body_failed", http.StatusInternalServerError)
}
err = json.Unmarshal(responseBody, &audioResponse)
if err != nil {
return errorWrapper(err, "unmarshal_response_body_failed", http.StatusInternalServerError)
}
resp.Body = io.NopCloser(bytes.NewBuffer(responseBody))
for k, v := range resp.Header {
c.Writer.Header().Set(k, v[0])
}
c.Writer.WriteHeader(resp.StatusCode)
_, err = io.Copy(c.Writer, resp.Body)
if err != nil {
return errorWrapper(err, "copy_response_body_failed", http.StatusInternalServerError)
}
err = resp.Body.Close()
if err != nil {
return errorWrapper(err, "close_response_body_failed", http.StatusInternalServerError)
}
return nil
}
controller/relay-baidu.go
......@@ -144,20 +144,9 @@ func streamResponseBaidu2OpenAI(baiduResponse *BaiduChatStreamResponse) *ChatCom
}
func embeddingRequestOpenAI2Baidu(request GeneralOpenAIRequest) *BaiduEmbeddingRequest {
baiduEmbeddingRequest := BaiduEmbeddingRequest{
Input: nil,
return &BaiduEmbeddingRequest{
Input: request.ParseInput(),
}
switch request.Input.(type) {
case string:
baiduEmbeddingRequest.Input = []string{request.Input.(string)}
case []any:
for _, item := range request.Input.([]any) {
if str, ok := item.(string); ok {
baiduEmbeddingRequest.Input = append(baiduEmbeddingRequest.Input, str)
}
}
}
return &baiduEmbeddingRequest
}
func embeddingResponseBaidu2OpenAI(response *BaiduEmbeddingResponse) *OpenAIEmbeddingResponse {
......
controller/relay-text.go
......@@ -22,6 +22,7 @@ const (
APITypeZhipu
APITypeAli
APITypeXunfei
APITypeAIProxyLibrary
)
var httpClient *http.Client
......@@ -104,6 +105,8 @@ func relayTextHelper(c *gin.Context, relayMode int) *OpenAIErrorWithStatusCode {
apiType = APITypeAli
case common.ChannelTypeXunfei:
apiType = APITypeXunfei
case common.ChannelTypeAIProxyLibrary:
apiType = APITypeAIProxyLibrary
}
baseURL := common.ChannelBaseURLs[channelType]
......@@ -172,6 +175,11 @@ func relayTextHelper(c *gin.Context, relayMode int) *OpenAIErrorWithStatusCode {
fullRequestURL = fmt.Sprintf("https://open.bigmodel.cn/api/paas/v3/model-api/%s/%s", textRequest.Model, method)
case APITypeAli:
fullRequestURL = "https://dashscope.aliyuncs.com/api/v1/services/aigc/text-generation/generation"
if relayMode == RelayModeEmbeddings {
fullRequestURL = "https://dashscope.aliyuncs.com/api/v1/services/embeddings/text-embedding/text-embedding"
}
case APITypeAIProxyLibrary:
fullRequestURL = fmt.Sprintf("%s/api/library/ask", baseURL)
}
var promptTokens int
var completionTokens int
......@@ -258,8 +266,24 @@ func relayTextHelper(c *gin.Context, relayMode int) *OpenAIErrorWithStatusCode {
}
requestBody = bytes.NewBuffer(jsonStr)
case APITypeAli:
aliRequest := requestOpenAI2Ali(textRequest)
jsonStr, err := json.Marshal(aliRequest)
var jsonStr []byte
var err error
switch relayMode {
case RelayModeEmbeddings:
aliEmbeddingRequest := embeddingRequestOpenAI2Ali(textRequest)
jsonStr, err = json.Marshal(aliEmbeddingRequest)
default:
aliRequest := requestOpenAI2Ali(textRequest)
jsonStr, err = json.Marshal(aliRequest)
}
if err != nil {
return errorWrapper(err, "marshal_text_request_failed", http.StatusInternalServerError)
}
requestBody = bytes.NewBuffer(jsonStr)
case APITypeAIProxyLibrary:
aiProxyLibraryRequest := requestOpenAI2AIProxyLibrary(textRequest)
aiProxyLibraryRequest.LibraryId = c.GetString("library_id")
jsonStr, err := json.Marshal(aiProxyLibraryRequest)
if err != nil {
return errorWrapper(err, "marshal_text_request_failed", http.StatusInternalServerError)
}
......@@ -287,6 +311,10 @@ func relayTextHelper(c *gin.Context, relayMode int) *OpenAIErrorWithStatusCode {
req.Header.Set("api-key", apiKey)
} else {
req.Header.Set("Authorization", c.Request.Header.Get("Authorization"))
if channelType == common.ChannelTypeOpenRouter {
req.Header.Set("HTTP-Referer", "https://github.com/songquanpeng/one-api")
req.Header.Set("X-Title", "One API")
}
}
case APITypeClaude:
req.Header.Set("x-api-key", apiKey)
......@@ -303,6 +331,8 @@ func relayTextHelper(c *gin.Context, relayMode int) *OpenAIErrorWithStatusCode {
if textRequest.Stream {
req.Header.Set("X-DashScope-SSE", "enable")
}
default:
req.Header.Set("Authorization", "Bearer "+apiKey)
}
req.Header.Set("Content-Type", c.Request.Header.Get("Content-Type"))
req.Header.Set("Accept", c.Request.Header.Get("Accept"))
......@@ -365,7 +395,6 @@ func relayTextHelper(c *gin.Context, relayMode int) *OpenAIErrorWithStatusCode {
logContent := fmt.Sprintf("模型倍率 %.2f，分组倍率 %.2f", modelRatio, groupRatio)
model.RecordConsumeLog(userId, promptTokens, completionTokens, textRequest.Model, tokenName, quota, logContent, tokenId)
model.UpdateUserUsedQuotaAndRequestCount(userId, quota)
model.UpdateChannelUsedQuota(channelId, quota)
}
}
......@@ -491,7 +520,14 @@ func relayTextHelper(c *gin.Context, relayMode int) *OpenAIErrorWithStatusCode {
}
return nil
} else {
err, usage := aliHandler(c, resp)
var err *OpenAIErrorWithStatusCode
var usage *Usage
switch relayMode {
case RelayModeEmbeddings:
err, usage = aliEmbeddingHandler(c, resp)
default:
err, usage = aliHandler(c, resp)
}
if err != nil {
return err
}
......@@ -519,6 +555,26 @@ func relayTextHelper(c *gin.Context, relayMode int) *OpenAIErrorWithStatusCode {
} else {
return errorWrapper(errors.New("xunfei api does not support non-stream mode"), "invalid_api_type", http.StatusBadRequest)
}
case APITypeAIProxyLibrary:
if isStream {
err, usage := aiProxyLibraryStreamHandler(c, resp)
if err != nil {
return err
}
if usage != nil {
textResponse.Usage = *usage
}
return nil
} else {
err, usage := aiProxyLibraryHandler(c, resp)
if err != nil {
return err
}
if usage != nil {
textResponse.Usage = *usage
}
return nil
}
default:
return errorWrapper(errors.New("unknown api type"), "unknown_api_type", http.StatusInternalServerError)
}
......
controller/relay-utils.go
......@@ -15,6 +15,24 @@ var stopFinishReason = "stop"
var tokenEncoderMap = map[string]*tiktoken.Tiktoken{}
func InitTokenEncoders() {
common.SysLog("initializing token encoders")
fallbackTokenEncoder, err := tiktoken.EncodingForModel("gpt-3.5-turbo")
if err != nil {
common.FatalLog(fmt.Sprintf("failed to get fallback token encoder: %s", err.Error()))
}
for model, _ := range common.ModelRatio {
tokenEncoder, err := tiktoken.EncodingForModel(model)
if err != nil {
common.SysError(fmt.Sprintf("using fallback encoder for model %s", model))
tokenEncoderMap[model] = fallbackTokenEncoder
continue
}
tokenEncoderMap[model] = tokenEncoder
}
common.SysLog("token encoders initialized")
}
func getTokenEncoder(model string) *tiktoken.Tiktoken {
if tokenEncoder, ok := tokenEncoderMap[model]; ok {
return tokenEncoder
......
controller/relay.go
......@@ -2,7 +2,6 @@ package controller
import (
"fmt"
"log"
"net/http"
"one-api/common"
"strconv"
......@@ -29,6 +28,7 @@ const (
RelayModeMidjourneyChange
RelayModeMidjourneyNotify
RelayModeMidjourneyTaskFetch
RelayModeAudio
)
// https://platform.openai.com/docs/api-reference/chat
......@@ -45,6 +45,26 @@ type GeneralOpenAIRequest struct {
Input any `json:"input,omitempty"`
Instruction string `json:"instruction,omitempty"`
Size string `json:"size,omitempty"`
Functions any `json:"functions,omitempty"`
}
func (r GeneralOpenAIRequest) ParseInput() []string {
if r.Input == nil {
return nil
}
var input []string
switch r.Input.(type) {
case string:
input = []string{r.Input.(string)}
case []any:
input = make([]string, 0, len(r.Input.([]any)))
for _, item := range r.Input.([]any) {
if str, ok := item.(string); ok {
input = append(input, str)
}
}
}
return input
}
type ChatRequest struct {
......@@ -67,6 +87,10 @@ type ImageRequest struct {
Size string `json:"size"`
}
type AudioResponse struct {
Text string `json:"text,omitempty"`
}
type Usage struct {
PromptTokens int `json:"prompt_tokens"`
CompletionTokens int `json:"completion_tokens"`
......@@ -147,23 +171,6 @@ type CompletionsStreamResponse struct {
} `json:"choices"`
}
type MidjourneyRequest struct {
Prompt string `json:"prompt"`
NotifyHook string `json:"notifyHook"`
Action string `json:"action"`
Index int `json:"index"`
State string `json:"state"`
TaskId string `json:"taskId"`
Base64Array []string `json:"base64Array"`
}
type MidjourneyResponse struct {
Code int `json:"code"`
Description string `json:"description"`
Properties interface{} `json:"properties"`
Result string `json:"result"`
}
func Relay(c *gin.Context) {
relayMode := RelayModeUnknown
if strings.HasPrefix(c.Request.URL.Path, "/v1/chat/completions") {
......
i18n/en.json
......@@ -523,5 +523,6 @@
"按照如下格式输入：": "Enter in the following format:",
"模型版本": "Model version",
"请输入星火大模型版本，注意是接口地址中的版本号，例如：v2.1": "Please enter the version of the Starfire model, note that it is the version number in the interface address, for example: v2.1",
"点击查看": "click to view"
"点击查看": "click to view",
"请确保已在 Azure 上创建了 gpt-35-turbo 模型，并且 apiVersion 已正确填写！": "Please make sure that the gpt-35-turbo model has been created on Azure, and the apiVersion has been filled in correctly!"
}
main.go
......@@ -78,6 +78,12 @@ func main() {
go controller.AutomaticallyTestChannels(frequency)
}
go controller.UpdateMidjourneyTask()
if os.Getenv("BATCH_UPDATE_ENABLED") == "true" {
common.BatchUpdateEnabled = true
common.SysLog("batch update enabled with interval " + strconv.Itoa(common.BatchUpdateInterval) + "s")
model.InitBatchUpdater()
}
controller.InitTokenEncoders()
// Initialize HTTP server
server := gin.Default()
......
middleware/auth.go
......@@ -109,7 +109,18 @@ func TokenAuth() func(c *gin.Context) {
c.Abort()
return
}
if !model.CacheIsUserEnabled(token.UserId) {
userEnabled, err := model.IsUserEnabled(token.UserId)
if err != nil {
c.JSON(http.StatusInternalServerError, gin.H{
"error": gin.H{
"message": err.Error(),
"type": "one_api_error",
},
})
c.Abort()
return
}
if !userEnabled {
c.JSON(http.StatusForbidden, gin.H{
"error": gin.H{
"message": "用户已被封禁",
......
middleware/distributor.go
......@@ -2,7 +2,6 @@ package middleware
import (
"fmt"
"log"
"net/http"
"one-api/common"
"one-api/model"
......@@ -22,7 +21,6 @@ func Distribute() func(c *gin.Context) {
userGroup, _ := model.CacheGetUserGroup(userId)
c.Set("group", userGroup)
var channel *model.Channel
var err error
channelId, ok := c.Get("channelId")
if ok {
id, err := strconv.Atoi(channelId.(string))
......@@ -58,7 +56,6 @@ func Distribute() func(c *gin.Context) {
return
}
} else {
// Select a channel for the user
var modelRequest ModelRequest
if strings.HasPrefix(c.Request.URL.Path, "/mj") {
......@@ -79,7 +76,6 @@ func Distribute() func(c *gin.Context) {
return
}
}
if strings.HasPrefix(c.Request.URL.Path, "/v1/moderations") {
if modelRequest.Model == "" {
modelRequest.Model = "text-moderation-stable"
......@@ -95,6 +91,11 @@ func Distribute() func(c *gin.Context) {
modelRequest.Model = "dall-e"
}
}
if strings.HasPrefix(c.Request.URL.Path, "/v1/audio") {
if modelRequest.Model == "" {
modelRequest.Model = "whisper-1"
}
}
channel, err = model.CacheGetRandomSatisfiedChannel(userGroup, modelRequest.Model)
if err != nil {
message := fmt.Sprintf("当前分组 %s 下对于模型 %s 无可用渠道", userGroup, modelRequest.Model)
......@@ -118,8 +119,13 @@ func Distribute() func(c *gin.Context) {
c.Set("model_mapping", channel.ModelMapping)
c.Request.Header.Set("Authorization", fmt.Sprintf("Bearer %s", channel.Key))
c.Set("base_url", channel.BaseURL)
if channel.Type == common.ChannelTypeAzure || channel.Type == common.ChannelTypeXunfei {
switch channel.Type {
case common.ChannelTypeAzure:
c.Set("api_version", channel.Other)
case common.ChannelTypeXunfei:
c.Set("api_version", channel.Other)
case common.ChannelTypeAIProxyLibrary:
c.Set("library_id", channel.Other)
}
c.Next()
}
......
model/cache.go
......@@ -103,23 +103,28 @@ func CacheDecreaseUserQuota(id int, quota int) error {
return err
}
func CacheIsUserEnabled(userId int) bool {
func CacheIsUserEnabled(userId int) (bool, error) {
if !common.RedisEnabled {
return IsUserEnabled(userId)
}
enabled, err := common.RedisGet(fmt.Sprintf("user_enabled:%d", userId))
if err == nil {
return enabled == "1", nil
}
userEnabled, err := IsUserEnabled(userId)
if err != nil {
status := common.UserStatusDisabled
if IsUserEnabled(userId) {
status = common.UserStatusEnabled
}
enabled = fmt.Sprintf("%d", status)
err = common.RedisSet(fmt.Sprintf("user_enabled:%d", userId), enabled, time.Duration(UserId2StatusCacheSeconds)*time.Second)
if err != nil {
common.SysError("Redis set user enabled error: " + err.Error())
}
return false, err
}
enabled = "0"
if userEnabled {
enabled = "1"
}
err = common.RedisSet(fmt.Sprintf("user_enabled:%d", userId), enabled, time.Duration(UserId2StatusCacheSeconds)*time.Second)
if err != nil {
common.SysError("Redis set user enabled error: " + err.Error())
}
return enabled == "1"
return userEnabled, err
}
var group2model2channels map[string]map[string][]*Channel
......
model/channel.go
......@@ -141,6 +141,14 @@ func UpdateChannelStatusById(id int, status int) {
}
func UpdateChannelUsedQuota(id int, quota int) {
if common.BatchUpdateEnabled {
addNewRecord(BatchUpdateTypeChannelUsedQuota, id, quota)
return
}
updateChannelUsedQuota(id, quota)
}
func updateChannelUsedQuota(id int, quota int) {
err := DB.Model(&Channel{}).Where("id = ?", id).Update("used_quota", gorm.Expr("used_quota + ?", quota)).Error
if err != nil {
common.SysError("failed to update channel used quota: " + err.Error())
......
model/token.go
......@@ -39,32 +39,35 @@ func ValidateUserToken(key string) (token *Token, err error) {
}
token, err = CacheGetTokenByKey(key)
if err == nil {
if token.Status == common.TokenStatusExhausted {
return nil, errors.New("该令牌额度已用尽")
} else if token.Status == common.TokenStatusExpired {
return nil, errors.New("该令牌已过期")
}
if token.Status != common.TokenStatusEnabled {
return nil, errors.New("该令牌状态不可用")
}
if token.ExpiredTime != -1 && token.ExpiredTime < common.GetTimestamp() {
token.Status = common.TokenStatusExpired
err := token.SelectUpdate()
if err != nil {
common.SysError("failed to update token status" + err.Error())
if !common.RedisEnabled {
token.Status = common.TokenStatusExpired
err := token.SelectUpdate()
if err != nil {
common.SysError("failed to update token status" + err.Error())
}
}
return nil, errors.New("该令牌已过期")
}
if !token.UnlimitedQuota && token.RemainQuota <= 0 {
token.Status = common.TokenStatusExhausted
err := token.SelectUpdate()
if err != nil {
common.SysError("failed to update token status" + err.Error())
if !common.RedisEnabled {
// in this case, we can make sure the token is exhausted
token.Status = common.TokenStatusExhausted
err := token.SelectUpdate()
if err != nil {
common.SysError("failed to update token status" + err.Error())
}
}
return nil, errors.New("该令牌额度已用尽")
}
go func() {
token.AccessedTime = common.GetTimestamp()
err := token.SelectUpdate()
if err != nil {
common.SysError("failed to update token" + err.Error())
}
}()
return token, nil
}
return nil, errors.New("无效的令牌")
......@@ -131,10 +134,19 @@ func IncreaseTokenQuota(id int, quota int) (err error) {
if quota < 0 {
return errors.New("quota 不能为负数！")
}
if common.BatchUpdateEnabled {
addNewRecord(BatchUpdateTypeTokenQuota, id, quota)
return nil
}
return increaseTokenQuota(id, quota)
}
func increaseTokenQuota(id int, quota int) (err error) {
err = DB.Model(&Token{}).Where("id = ?", id).Updates(
map[string]interface{}{
"remain_quota": gorm.Expr("remain_quota + ?", quota),
"used_quota": gorm.Expr("used_quota - ?", quota),
"remain_quota": gorm.Expr("remain_quota + ?", quota),
"used_quota": gorm.Expr("used_quota - ?", quota),
"accessed_time": common.GetTimestamp(),
},
).Error
return err
......@@ -144,10 +156,19 @@ func DecreaseTokenQuota(id int, quota int) (err error) {
if quota < 0 {
return errors.New("quota 不能为负数！")
}
if common.BatchUpdateEnabled {
addNewRecord(BatchUpdateTypeTokenQuota, id, -quota)
return nil
}
return decreaseTokenQuota(id, quota)
}
func decreaseTokenQuota(id int, quota int) (err error) {
err = DB.Model(&Token{}).Where("id = ?", id).Updates(
map[string]interface{}{
"remain_quota": gorm.Expr("remain_quota - ?", quota),
"used_quota": gorm.Expr("used_quota + ?", quota),
"remain_quota": gorm.Expr("remain_quota - ?", quota),
"used_quota": gorm.Expr("used_quota + ?", quota),
"accessed_time": common.GetTimestamp(),
},
).Error
return err
......
model/user.go
......@@ -235,17 +235,16 @@ func IsAdmin(userId int) bool {
return user.Role >= common.RoleAdminUser
}
func IsUserEnabled(userId int) bool {
func IsUserEnabled(userId int) (bool, error) {
if userId == 0 {
return false
return false, errors.New("user id is empty")
}
var user User
err := DB.Where("id = ?", userId).Select("status").Find(&user).Error
if err != nil {
common.SysError("no such user " + err.Error())
return false
return false, err
}
return user.Status == common.UserStatusEnabled
return user.Status == common.UserStatusEnabled, nil
}
func ValidateAccessToken(token string) (user *User) {
......@@ -284,6 +283,14 @@ func IncreaseUserQuota(id int, quota int) (err error) {
if quota < 0 {
return errors.New("quota 不能为负数！")
}
if common.BatchUpdateEnabled {
addNewRecord(BatchUpdateTypeUserQuota, id, quota)
return nil
}
return increaseUserQuota(id, quota)
}
func increaseUserQuota(id int, quota int) (err error) {
err = DB.Model(&User{}).Where("id = ?", id).Update("quota", gorm.Expr("quota + ?", quota)).Error
return err
}
......@@ -292,6 +299,14 @@ func DecreaseUserQuota(id int, quota int) (err error) {
if quota < 0 {
return errors.New("quota 不能为负数！")
}
if common.BatchUpdateEnabled {
addNewRecord(BatchUpdateTypeUserQuota, id, -quota)
return nil
}
return decreaseUserQuota(id, quota)
}
func decreaseUserQuota(id int, quota int) (err error) {
err = DB.Model(&User{}).Where("id = ?", id).Update("quota", gorm.Expr("quota - ?", quota)).Error
return err
}
......@@ -302,10 +317,18 @@ func GetRootUserEmail() (email string) {
}
func UpdateUserUsedQuotaAndRequestCount(id int, quota int) {
if common.BatchUpdateEnabled {
addNewRecord(BatchUpdateTypeUsedQuotaAndRequestCount, id, quota)
return
}
updateUserUsedQuotaAndRequestCount(id, quota, 1)
}
func updateUserUsedQuotaAndRequestCount(id int, quota int, count int) {
err := DB.Model(&User{}).Where("id = ?", id).Updates(
map[string]interface{}{
"used_quota": gorm.Expr("used_quota + ?", quota),
"request_count": gorm.Expr("request_count + ?", 1),
"request_count": gorm.Expr("request_count + ?", count),
},
).Error
if err != nil {
......
model/utils.go 0 → 100644
package model
import (
"one-api/common"
"sync"
"time"
)
const BatchUpdateTypeCount = 4 // if you add a new type, you need to add a new map and a new lock
const (
BatchUpdateTypeUserQuota = iota
BatchUpdateTypeTokenQuota
BatchUpdateTypeUsedQuotaAndRequestCount
BatchUpdateTypeChannelUsedQuota
)
var batchUpdateStores []map[int]int
var batchUpdateLocks []sync.Mutex
func init() {
for i := 0; i < BatchUpdateTypeCount; i++ {
batchUpdateStores = append(batchUpdateStores, make(map[int]int))
batchUpdateLocks = append(batchUpdateLocks, sync.Mutex{})
}
}
func InitBatchUpdater() {
go func() {
for {
time.Sleep(time.Duration(common.BatchUpdateInterval) * time.Second)
batchUpdate()
}
}()
}
func addNewRecord(type_ int, id int, value int) {
batchUpdateLocks[type_].Lock()
defer batchUpdateLocks[type_].Unlock()
if _, ok := batchUpdateStores[type_][id]; !ok {
batchUpdateStores[type_][id] = value
} else {
batchUpdateStores[type_][id] += value
}
}
func batchUpdate() {
common.SysLog("batch update started")
for i := 0; i < BatchUpdateTypeCount; i++ {
batchUpdateLocks[i].Lock()
store := batchUpdateStores[i]
batchUpdateStores[i] = make(map[int]int)
batchUpdateLocks[i].Unlock()
for key, value := range store {
switch i {
case BatchUpdateTypeUserQuota:
err := increaseUserQuota(key, value)
if err != nil {
common.SysError("failed to batch update user quota: " + err.Error())
}
case BatchUpdateTypeTokenQuota:
err := increaseTokenQuota(key, value)
if err != nil {
common.SysError("failed to batch update token quota: " + err.Error())
}
case BatchUpdateTypeUsedQuotaAndRequestCount:
updateUserUsedQuotaAndRequestCount(key, value, 1) // TODO: count is incorrect
case BatchUpdateTypeChannelUsedQuota:
updateChannelUsedQuota(key, value)
}
}
}
common.SysLog("batch update finished")
}
router/relay-router.go
......@@ -26,8 +26,8 @@ func SetRelayRouter(router *gin.Engine) {
relayV1Router.POST("/images/variations", controller.RelayNotImplemented)
relayV1Router.POST("/embeddings", controller.Relay)
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)
......
web/src/components/LogsTable.js
......@@ -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 && (
......
web/src/constants/channel.constants.js
......@@ -7,7 +7,11 @@ export const CHANNEL_OPTIONS = [
{ 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: 19, text: '360 智脑', value: 19, color: 'blue' },
{ key: 8, text: '自定义渠道', value: 8, color: 'pink' },
{ key: 22, text: '知识库：FastGPT', value: 22, color: 'blue' },
{ key: 21, text: '知识库：AI Proxy', value: 21, color: 'purple' },
{ 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' },
......
web/src/pages/Channel/EditChannel.js
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';
......@@ -10,6 +10,20 @@ const MODEL_MAPPING_EXAMPLE = {
'gpt-4-32k-0314': 'gpt-4-32k'
};
function type2secretPrompt(type) {
// inputs.type === 15 ? '按照如下格式输入：APIKey|SecretKey' : (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')
switch (type) {
case 15:
return '按照如下格式输入：APIKey|SecretKey';
case 18:
return '按照如下格式输入：APPID|APISecret|APIKey';
case 22:
return '按照如下格式输入：APIKey-AppId，例如：fastgpt-0sp2gtvfdgyi4k30jwlgwf1i-64f335d84283f05518e9e041';
default:
return '请输入渠道对应的鉴权密钥';
}
}
const EditChannel = () => {
const params = useParams();
const navigate = useNavigate();
......@@ -19,7 +33,7 @@ const EditChannel = () => {
const handleCancel = () => {
navigate('/channel');
};
const originInputs = {
name: '',
type: 1,
......@@ -53,7 +67,7 @@ const EditChannel = () => {
localModels = ['ERNIE-Bot', 'ERNIE-Bot-turbo', 'Embedding-V1'];
break;
case 17:
localModels = ['qwen-v1', 'qwen-plus-v1'];
localModels = ['qwen-v1', 'qwen-plus-v1', 'text-embedding-v1'];
break;
case 16:
localModels = ['chatglm_pro', 'chatglm_std', 'chatglm_lite'];
......@@ -61,6 +75,9 @@ const EditChannel = () => {
case 18:
localModels = ['SparkDesk'];
break;
case 19:
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 }));
}
......@@ -190,6 +207,24 @@ const EditChannel = () => {
}
};
const addCustomModel = () => {
if (customModel.trim() === '') return;
if (inputs.models.includes(customModel)) return;
let localModels = [...inputs.models];
localModels.push(customModel);
let localModelOptions = [];
localModelOptions.push({
key: customModel,
text: customModel,
value: customModel
});
setModelOptions(modelOptions => {
return [...modelOptions, ...localModelOptions];
});
setCustomModel('');
handleInputChange(null, { name: 'models', value: localModels });
};
return (
<>
<Segment loading={loading}>
......@@ -292,6 +327,20 @@ const EditChannel = () => {
</Form.Field>
)
}
{
inputs.type === 21 && (
<Form.Field>
<Form.Input
label='知识库 ID'
name='other'
placeholder={'请输入知识库 ID，例如：123456'}
onChange={handleInputChange}
value={inputs.other}
autoComplete='new-password'
/>
</Form.Field>
)
}
<Form.Field>
<Form.Dropdown
label='模型'
......@@ -319,29 +368,19 @@ const EditChannel = () => {
}}>清除所有模型</Button>
<Input
action={
<Button type={'button'} onClick={() => {
if (customModel.trim() === '') return;
if (inputs.models.includes(customModel)) return;
let localModels = [...inputs.models];
localModels.push(customModel);
let localModelOptions = [];
localModelOptions.push({
key: customModel,
text: customModel,
value: customModel
});
setModelOptions(modelOptions => {
return [...modelOptions, ...localModelOptions];
});
setCustomModel('');
handleInputChange(null, { name: 'models', value: localModels });
}}>填入</Button>
<Button type={'button'} onClick={addCustomModel}>填入</Button>
}
placeholder='输入自定义模型名称'
value={customModel}
onChange={(e, { value }) => {
setCustomModel(value);
}}
onKeyDown={(e) => {
if (e.key === 'Enter') {
addCustomModel();
e.preventDefault();
}
}}
/>
</div>
<Form.Field>
......@@ -372,7 +411,7 @@ const EditChannel = () => {
label='密钥'
name='key'
required
placeholder={inputs.type === 15 ? '按照如下格式输入：APIKey|SecretKey' : (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')}
placeholder={type2secretPrompt(inputs.type)}
onChange={handleInputChange}
value={inputs.key}
autoComplete='new-password'
......@@ -390,7 +429,7 @@ const EditChannel = () => {
)
}
{
inputs.type !== 3 && inputs.type !== 8 && (
inputs.type !== 3 && inputs.type !== 8 && inputs.type !== 22 && (
<Form.Field>
<Form.Input
label='代理'
......@@ -403,6 +442,20 @@ const EditChannel = () => {
</Form.Field>
)
}
{
inputs.type === 22 && (
<Form.Field>
<Form.Input
label='私有部署地址'
name='base_url'
placeholder={'请输入私有部署地址，格式为：https://fastgpt.run/api/openapi'}
onChange={handleInputChange}
value={inputs.base_url}
autoComplete='new-password'
/>
</Form.Field>
)
}
<Button onClick={handleCancel}>取消</Button>
<Button type={isEdit ? 'button' : 'submit'} positive onClick={submit}>提交</Button>
</Form>
......
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