Files
FastGPT/src/constants/model.ts
2023-04-03 11:03:51 +08:00

129 lines
2.9 KiB
TypeScript
Raw Blame History

This file contains ambiguous Unicode characters
This file contains Unicode characters that might be confused with other characters. If you think that this is intentional, you can safely ignore this warning. Use the Escape button to reveal them.
import type { ServiceName, ModelDataType, ModelSchema } from '@/types/mongoSchema';
import type { RedisModelDataItemType } from '@/types/redis';
export enum ChatModelNameEnum {
GPT35 = 'gpt-3.5-turbo',
VECTOR_GPT = 'VECTOR_GPT',
GPT3 = 'text-davinci-003',
VECTOR = 'text-embedding-ada-002'
}
export const ChatModelNameMap = {
[ChatModelNameEnum.GPT35]: 'gpt-3.5-turbo',
[ChatModelNameEnum.VECTOR_GPT]: 'gpt-3.5-turbo',
[ChatModelNameEnum.GPT3]: 'text-davinci-003',
[ChatModelNameEnum.VECTOR]: 'text-embedding-ada-002'
};
export type ModelConstantsData = {
serviceCompany: `${ServiceName}`;
name: string;
model: `${ChatModelNameEnum}`;
trainName: string; // 空字符串代表不能训练
maxToken: number;
contextMaxToken: number;
maxTemperature: number;
trainedMaxToken: number; // 训练后最大多少tokens
price: number; // 多少钱 / 1token单位: 0.00001元
};
export const modelList: ModelConstantsData[] = [
{
serviceCompany: 'openai',
name: 'chatGPT',
model: ChatModelNameEnum.GPT35,
trainName: '',
maxToken: 4000,
contextMaxToken: 7500,
trainedMaxToken: 2000,
maxTemperature: 2,
price: 3
},
{
serviceCompany: 'openai',
name: '知识库',
model: ChatModelNameEnum.VECTOR_GPT,
trainName: 'vector',
maxToken: 4000,
contextMaxToken: 7500,
trainedMaxToken: 2000,
maxTemperature: 1,
price: 3
}
// {
// serviceCompany: 'openai',
// name: 'GPT3',
// model: ChatModelNameEnum.GPT3,
// trainName: 'davinci',
// maxToken: 4000,
// contextMaxToken: 7500,
// trainedMaxToken: 2000,
// maxTemperature: 2,
// price: 30
// }
];
export enum TrainingStatusEnum {
pending = 'pending',
succeed = 'succeed',
errored = 'errored',
canceled = 'canceled'
}
export enum ModelStatusEnum {
running = 'running',
training = 'training',
pending = 'pending',
closed = 'closed'
}
export const formatModelStatus = {
[ModelStatusEnum.running]: {
colorTheme: 'green',
text: '运行中'
},
[ModelStatusEnum.training]: {
colorTheme: 'blue',
text: '训练中'
},
[ModelStatusEnum.pending]: {
colorTheme: 'gray',
text: '加载中'
},
[ModelStatusEnum.closed]: {
colorTheme: 'red',
text: '已关闭'
}
};
export const ModelDataStatusMap: Record<RedisModelDataItemType['status'], string> = {
ready: '训练完成',
waiting: '训练中'
};
export const defaultModel: ModelSchema = {
_id: '',
userId: '',
name: '',
avatar: '',
status: ModelStatusEnum.pending,
updateTime: Date.now(),
trainingTimes: 0,
systemPrompt: '',
intro: '',
temperature: 5,
service: {
company: 'openai',
trainId: '',
chatModel: ChatModelNameEnum.GPT35,
modelName: ChatModelNameEnum.GPT35
},
security: {
domain: ['*'],
contextMaxLen: 1,
contentMaxLen: 1,
expiredTime: 9999,
maxLoadAmount: 1
}
};