new framwork

This commit is contained in:
archer
2023-06-09 12:57:42 +08:00
parent d9450bd7ee
commit ba9d9c3d5f
263 changed files with 12269 additions and 11599 deletions

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import { encoding_for_model, type Tiktoken } from '@dqbd/tiktoken';
import type { ChatItemSimpleType } from '@/types/chat';
import { ChatRoleEnum } from '@/constants/chat';
import { ChatCompletionRequestMessage, ChatCompletionRequestMessageRoleEnum } from 'openai';
import { OpenAiChatEnum } from '@/constants/model';
import Graphemer from 'graphemer';
const textDecoder = new TextDecoder();
const graphemer = new Graphemer();
export const getOpenAiEncMap = () => {
if (typeof window !== 'undefined') {
window.OpenAiEncMap = window.OpenAiEncMap || {
'gpt-3.5-turbo': encoding_for_model('gpt-3.5-turbo', {
'<|im_start|>': 100264,
'<|im_end|>': 100265,
'<|im_sep|>': 100266
}),
'gpt-4': encoding_for_model('gpt-4', {
'<|im_start|>': 100264,
'<|im_end|>': 100265,
'<|im_sep|>': 100266
}),
'gpt-4-32k': encoding_for_model('gpt-4-32k', {
'<|im_start|>': 100264,
'<|im_end|>': 100265,
'<|im_sep|>': 100266
})
};
return window.OpenAiEncMap;
}
if (typeof global !== 'undefined') {
global.OpenAiEncMap = global.OpenAiEncMap || {
'gpt-3.5-turbo': encoding_for_model('gpt-3.5-turbo', {
'<|im_start|>': 100264,
'<|im_end|>': 100265,
'<|im_sep|>': 100266
}),
'gpt-4': encoding_for_model('gpt-4', {
'<|im_start|>': 100264,
'<|im_end|>': 100265,
'<|im_sep|>': 100266
}),
'gpt-4-32k': encoding_for_model('gpt-4-32k', {
'<|im_start|>': 100264,
'<|im_end|>': 100265,
'<|im_sep|>': 100266
})
};
return global.OpenAiEncMap;
}
return {
'gpt-3.5-turbo': encoding_for_model('gpt-3.5-turbo', {
'<|im_start|>': 100264,
'<|im_end|>': 100265,
'<|im_sep|>': 100266
}),
'gpt-4': encoding_for_model('gpt-4', {
'<|im_start|>': 100264,
'<|im_end|>': 100265,
'<|im_sep|>': 100266
}),
'gpt-4-32k': encoding_for_model('gpt-4-32k', {
'<|im_start|>': 100264,
'<|im_end|>': 100265,
'<|im_sep|>': 100266
})
};
};
export const adaptChatItem_openAI = ({
messages
}: {
messages: ChatItemSimpleType[];
}): ChatCompletionRequestMessage[] => {
const map = {
[ChatRoleEnum.AI]: ChatCompletionRequestMessageRoleEnum.Assistant,
[ChatRoleEnum.Human]: ChatCompletionRequestMessageRoleEnum.User,
[ChatRoleEnum.System]: ChatCompletionRequestMessageRoleEnum.System
};
return messages.map((item) => ({
role: map[item.obj] || ChatCompletionRequestMessageRoleEnum.System,
content: item.value || ''
}));
};
export function countOpenAIToken({
messages,
model
}: {
messages: ChatItemSimpleType[];
model: `${OpenAiChatEnum}`;
}) {
function getChatGPTEncodingText(
messages: {
role: 'system' | 'user' | 'assistant';
content: string;
name?: string;
}[],
model: 'gpt-3.5-turbo' | 'gpt-4' | 'gpt-4-32k'
) {
const isGpt3 = model === 'gpt-3.5-turbo';
const msgSep = isGpt3 ? '\n' : '';
const roleSep = isGpt3 ? '\n' : '<|im_sep|>';
return [
messages
.map(({ name = '', role, content }) => {
return `<|im_start|>${name || role}${roleSep}${content}<|im_end|>`;
})
.join(msgSep),
`<|im_start|>assistant${roleSep}`
].join(msgSep);
}
function text2TokensLen(encoder: Tiktoken, inputText: string) {
const encoding = encoder.encode(inputText, 'all');
const segments: { text: string; tokens: { id: number; idx: number }[] }[] = [];
let byteAcc: number[] = [];
let tokenAcc: { id: number; idx: number }[] = [];
let inputGraphemes = graphemer.splitGraphemes(inputText);
for (let idx = 0; idx < encoding.length; idx++) {
const token = encoding[idx]!;
byteAcc.push(...encoder.decode_single_token_bytes(token));
tokenAcc.push({ id: token, idx });
const segmentText = textDecoder.decode(new Uint8Array(byteAcc));
const graphemes = graphemer.splitGraphemes(segmentText);
if (graphemes.every((item, idx) => inputGraphemes[idx] === item)) {
segments.push({ text: segmentText, tokens: tokenAcc });
byteAcc = [];
tokenAcc = [];
inputGraphemes = inputGraphemes.slice(graphemes.length);
}
}
return segments.reduce((memo, i) => memo + i.tokens.length, 0) ?? 0;
}
const adaptMessages = adaptChatItem_openAI({ messages });
return text2TokensLen(getOpenAiEncMap()[model], getChatGPTEncodingText(adaptMessages, model));
}
export const openAiSliceTextByToken = ({
model = 'gpt-3.5-turbo',
text,
length
}: {
model: `${OpenAiChatEnum}`;
text: string;
length: number;
}) => {
const enc = getOpenAiEncMap()[model];
const encodeText = enc.encode(text);
const decoder = new TextDecoder();
return decoder.decode(enc.decode(encodeText.slice(0, length)));
};