forked from songquanpeng/one-api
-
Notifications
You must be signed in to change notification settings - Fork 0
/
Copy pathrelay-utils.go
188 lines (174 loc) · 5.19 KB
/
relay-utils.go
1
2
3
4
5
6
7
8
9
10
11
12
13
14
15
16
17
18
19
20
21
22
23
24
25
26
27
28
29
30
31
32
33
34
35
36
37
38
39
40
41
42
43
44
45
46
47
48
49
50
51
52
53
54
55
56
57
58
59
60
61
62
63
64
65
66
67
68
69
70
71
72
73
74
75
76
77
78
79
80
81
82
83
84
85
86
87
88
89
90
91
92
93
94
95
96
97
98
99
100
101
102
103
104
105
106
107
108
109
110
111
112
113
114
115
116
117
118
119
120
121
122
123
124
125
126
127
128
129
130
131
132
133
134
135
136
137
138
139
140
141
142
143
144
145
146
147
148
149
150
151
152
153
154
155
156
157
158
159
160
161
162
163
164
165
166
167
168
169
170
171
172
173
174
175
176
177
178
179
180
181
182
183
184
185
186
187
188
package controller
import (
"encoding/json"
"fmt"
"github.com/gin-gonic/gin"
"github.com/pkoukk/tiktoken-go"
"io"
"net/http"
"one-api/common"
"strconv"
"strings"
)
var stopFinishReason = "stop"
// tokenEncoderMap won't grow after initialization
var tokenEncoderMap = map[string]*tiktoken.Tiktoken{}
var defaultTokenEncoder *tiktoken.Tiktoken
func InitTokenEncoders() {
common.SysLog("initializing token encoders")
gpt35TokenEncoder, err := tiktoken.EncodingForModel("gpt-3.5-turbo")
if err != nil {
common.FatalLog(fmt.Sprintf("failed to get gpt-3.5-turbo token encoder: %s", err.Error()))
}
defaultTokenEncoder = gpt35TokenEncoder
gpt4TokenEncoder, err := tiktoken.EncodingForModel("gpt-4")
if err != nil {
common.FatalLog(fmt.Sprintf("failed to get gpt-4 token encoder: %s", err.Error()))
}
for model, _ := range common.ModelRatio {
if strings.HasPrefix(model, "gpt-3.5") {
tokenEncoderMap[model] = gpt35TokenEncoder
} else if strings.HasPrefix(model, "gpt-4") {
tokenEncoderMap[model] = gpt4TokenEncoder
} else {
tokenEncoderMap[model] = nil
}
}
common.SysLog("token encoders initialized")
}
func getTokenEncoder(model string) *tiktoken.Tiktoken {
tokenEncoder, ok := tokenEncoderMap[model]
if ok && tokenEncoder != nil {
return tokenEncoder
}
if ok {
tokenEncoder, err := tiktoken.EncodingForModel(model)
if err != nil {
common.SysError(fmt.Sprintf("failed to get token encoder for model %s: %s, using encoder for gpt-3.5-turbo", model, err.Error()))
tokenEncoder = defaultTokenEncoder
}
tokenEncoderMap[model] = tokenEncoder
return tokenEncoder
}
return defaultTokenEncoder
}
func getTokenNum(tokenEncoder *tiktoken.Tiktoken, text string) int {
if common.ApproximateTokenEnabled {
return int(float64(len(text)) * 0.38)
}
return len(tokenEncoder.Encode(text, nil, nil))
}
func countTokenMessages(messages []Message, model string) int {
tokenEncoder := getTokenEncoder(model)
// Reference:
// https://github.com/openai/openai-cookbook/blob/main/examples/How_to_count_tokens_with_tiktoken.ipynb
// https://github.com/pkoukk/tiktoken-go/issues/6
//
// Every message follows <|start|>{role/name}\n{content}<|end|>\n
var tokensPerMessage int
var tokensPerName int
if model == "gpt-3.5-turbo-0301" {
tokensPerMessage = 4
tokensPerName = -1 // If there's a name, the role is omitted
} else {
tokensPerMessage = 3
tokensPerName = 1
}
tokenNum := 0
for _, message := range messages {
tokenNum += tokensPerMessage
tokenNum += getTokenNum(tokenEncoder, message.Content)
tokenNum += getTokenNum(tokenEncoder, message.Role)
if message.Name != nil {
tokenNum += tokensPerName
tokenNum += getTokenNum(tokenEncoder, *message.Name)
}
}
tokenNum += 3 // Every reply is primed with <|start|>assistant<|message|>
return tokenNum
}
func countTokenInput(input any, model string) int {
switch input.(type) {
case string:
return countTokenText(input.(string), model)
case []string:
text := ""
for _, s := range input.([]string) {
text += s
}
return countTokenText(text, model)
}
return 0
}
func countTokenText(text string, model string) int {
tokenEncoder := getTokenEncoder(model)
return getTokenNum(tokenEncoder, text)
}
func errorWrapper(err error, code string, statusCode int) *OpenAIErrorWithStatusCode {
openAIError := OpenAIError{
Message: err.Error(),
Type: "one_api_error",
Code: code,
}
return &OpenAIErrorWithStatusCode{
OpenAIError: openAIError,
StatusCode: statusCode,
}
}
func shouldDisableChannel(err *OpenAIError, statusCode int) bool {
if !common.AutomaticDisableChannelEnabled {
return false
}
if err == nil {
return false
}
if statusCode == http.StatusUnauthorized {
return true
}
if err.Type == "insufficient_quota" || err.Code == "invalid_api_key" || err.Code == "account_deactivated" {
return true
}
return false
}
func setEventStreamHeaders(c *gin.Context) {
c.Writer.Header().Set("Content-Type", "text/event-stream")
c.Writer.Header().Set("Cache-Control", "no-cache")
c.Writer.Header().Set("Connection", "keep-alive")
c.Writer.Header().Set("Transfer-Encoding", "chunked")
c.Writer.Header().Set("X-Accel-Buffering", "no")
}
func relayErrorHandler(resp *http.Response) (openAIErrorWithStatusCode *OpenAIErrorWithStatusCode) {
openAIErrorWithStatusCode = &OpenAIErrorWithStatusCode{
StatusCode: resp.StatusCode,
OpenAIError: OpenAIError{
Message: fmt.Sprintf("bad response status code %d", resp.StatusCode),
Type: "upstream_error",
Code: "bad_response_status_code",
Param: strconv.Itoa(resp.StatusCode),
},
}
responseBody, err := io.ReadAll(resp.Body)
if err != nil {
return
}
err = resp.Body.Close()
if err != nil {
return
}
var textResponse TextResponse
err = json.Unmarshal(responseBody, &textResponse)
if err != nil {
return
}
openAIErrorWithStatusCode.OpenAIError = textResponse.Error
return
}
func getFullRequestURL(baseURL string, requestURL string, channelType int) string {
fullRequestURL := fmt.Sprintf("%s%s", baseURL, requestURL)
if channelType == common.ChannelTypeOpenAI {
if strings.HasPrefix(baseURL, "https://gateway.ai.cloudflare.com") {
fullRequestURL = fmt.Sprintf("%s%s", baseURL, strings.TrimPrefix(requestURL, "/v1"))
}
}
return fullRequestURL
}