/
util.go
172 lines (144 loc) · 4.25 KB
/
util.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
// Copyright 2023 The casbin Authors. All Rights Reserved.
//
// Licensed under the Apache License, Version 2.0 (the "License");
// you may not use this file except in compliance with the License.
// You may obtain a copy of the License at
//
// http://www.apache.org/licenses/LICENSE-2.0
//
// Unless required by applicable law or agreed to in writing, software
// distributed under the License is distributed on an "AS IS" BASIS,
// WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
// See the License for the specific language governing permissions and
// limitations under the License.
package model
import (
"fmt"
"math"
"github.com/pkoukk/tiktoken-go"
"github.com/sashabaranov/go-openai"
)
type RawMessage struct {
Text string
Author string
}
func reverseMessages(arr []*RawMessage) []*RawMessage {
for i, j := 0, len(arr)-1; i < j; i, j = i+1, j-1 {
arr[i], arr[j] = arr[j], arr[i]
}
return arr
}
func getPrice(tokenCount int, pricePerThousandTokens float64) float64 {
res := (float64(tokenCount) / 1000.0) * pricePerThousandTokens
res = math.Round(res*1e8) / 1e8
return res
}
func AddPrices(price1 float64, price2 float64) float64 {
res := price1 + price2
res = math.Round(res*1e8) / 1e8
return res
}
func RefinePrice(price float64) float64 {
res := math.Round(price*1e2) / 1e2
return res
}
func GetTokenSize(model string, prompt string) (int, error) {
tkm, err := tiktoken.EncodingForModel(model)
if err != nil {
return 0, err
}
token := tkm.Encode(prompt, nil, nil)
res := len(token)
return res, nil
}
func getDefaultModelResult(modelSubType string, prompt string, response string) (*ModelResult, error) {
modelResult := &ModelResult{}
promptTokenCount, err := GetTokenSize(modelSubType, prompt)
if err != nil {
promptTokenCount, err = GetTokenSize("gpt-3.5-turbo", prompt)
}
if err != nil {
return nil, err
}
responseTokenCount, err := GetTokenSize(modelSubType, response)
if err != nil {
responseTokenCount, err = GetTokenSize("gpt-3.5-turbo", response)
}
if err != nil {
return nil, err
}
modelResult.PromptTokenCount = promptTokenCount
modelResult.ResponseTokenCount = responseTokenCount
modelResult.TotalTokenCount = promptTokenCount + responseTokenCount
modelResult.Currency = "USD"
return modelResult, nil
}
func getSystemMessages(prompt string, knowledgeMessages []*RawMessage) []*RawMessage {
if prompt == "" {
prompt = "You are an expert in your field and you specialize in using your knowledge to answer or solve people's problems."
}
res := []*RawMessage{
{
Text: prompt,
Author: "System",
},
}
for i, message := range knowledgeMessages {
res = append(
res,
&RawMessage{
Text: fmt.Sprintf("Knowledge %d: %s", i+1, message.Text),
Author: "System",
})
}
return res
}
func getHistoryMessages(recentMessages []*RawMessage, model string, leftTokens int) ([]*RawMessage, error) {
var res []*RawMessage
for _, message := range recentMessages {
messageTokenSize, err := GetTokenSize(model, message.Text)
if err != nil {
return nil, err
}
leftTokens -= messageTokenSize
if leftTokens <= 0 {
break
}
res = append(res, message)
}
res = reverseMessages(res)
return res, nil
}
func OpenaiGenerateMessages(prompt string, question string, recentMessages []*RawMessage, knowledgeMessages []*RawMessage, model string, maxTokens int) ([]*RawMessage, error) {
queryMessage := &RawMessage{
Text: question,
Author: openai.ChatMessageRoleUser,
}
queryMessageSize, err := GetTokenSize(model, queryMessage.Text)
if err != nil {
return nil, err
}
leftTokens := maxTokens - queryMessageSize
if leftTokens <= 0 {
return nil, fmt.Errorf("the token count: [%d] exceeds the model: [%s]'s maximum token count: [%d]", queryMessageSize, model, maxTokens)
}
for i, message := range knowledgeMessages {
messageSize, err := GetTokenSize(model, message.Text)
if err != nil {
return nil, err
}
leftTokens -= messageSize
if leftTokens <= 0 {
knowledgeMessages = knowledgeMessages[:i]
break
}
}
historyMessages, err := getHistoryMessages(recentMessages, model, leftTokens)
if err != nil {
return nil, err
}
res := getSystemMessages(prompt, knowledgeMessages)
res = append(res, historyMessages...)
res = append(res, queryMessage)
return res, nil
}