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68 lines
2.1 KiB
Go
68 lines
2.1 KiB
Go
package utils
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import (
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"chat/types"
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"fmt"
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"github.com/pkoukk/tiktoken-go"
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"strings"
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)
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// Using https://github.com/pkoukk/tiktoken-go
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// To count number of tokens of openai chat messages
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// OpenAI Cookbook: https://github.com/openai/openai-cookbook/blob/main/examples/How_to_count_tokens_with_tiktoken.ipynb
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func GetWeightByModel(model string) int {
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switch model {
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case types.GPT432k,
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types.GPT432k0613,
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types.GPT432k0314:
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return 3 * 10
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case types.GPT3Turbo,
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types.GPT3Turbo0613,
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types.GPT3Turbo16k,
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types.GPT3Turbo16k0613,
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types.GPT4,
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types.GPT40314,
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types.GPT40613:
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return 3
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case types.GPT3Turbo0301, types.GPT3Turbo16k0301:
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return 4 // every message follows <|start|>{role/name}\n{content}<|end|>\n
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default:
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if strings.Contains(model, types.GPT3Turbo) {
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// warning: gpt-3.5-turbo may update over time. Returning num tokens assuming gpt-3.5-turbo-0613.
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return GetWeightByModel(types.GPT3Turbo0613)
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} else if strings.Contains(model, types.GPT4) {
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// warning: gpt-4 may update over time. Returning num tokens assuming gpt-4-0613.
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return GetWeightByModel(types.GPT40613)
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} else {
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// not implemented: See https://github.com/openai/openai-python/blob/main/chatml.md for information on how messages are converted to tokens
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panic(fmt.Errorf("not implemented for model %s", model))
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}
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}
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}
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func NumTokensFromMessages(messages []types.ChatGPTMessage, model string) (tokens int) {
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weight := GetWeightByModel(model)
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tkm, err := tiktoken.EncodingForModel(model)
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if err != nil {
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// can not encode messages, use length of messages as a proxy for number of tokens
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// using rune instead of byte to account for unicode characters (e.g. emojis, non-english characters)
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data := Marshal(messages)
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return len([]rune(data)) * weight
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}
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for _, message := range messages {
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tokens += weight
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tokens += len(tkm.Encode(message.Content, nil, nil))
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tokens += len(tkm.Encode(message.Role, nil, nil))
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}
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tokens += 3 // every reply is primed with <|start|>assistant<|message|>
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return tokens
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}
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func CountTokenPrice(messages []types.ChatGPTMessage, model string) int {
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return NumTokensFromMessages(messages, model)
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}
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