Files
FastGPT/packages/global/core/ai/model.ts
Archer adf5377ebe Add image index and pdf parse (#3956)
* feat: think tag parse

* feat: parse think tag test

* feat: pdf parse ux

* feat: doc2x parse

* perf: rewrite training mode setting

* feat: image parse queue

* perf: image index

* feat: image parse process

* feat: add init sh

* fix: ts
2025-03-06 18:28:03 +08:00

88 lines
2.2 KiB
TypeScript

import { i18nT } from '../../../web/i18n/utils';
import type { LLMModelItemType, STTModelType, EmbeddingModelItemType } from './model.d';
import { getModelProvider, ModelProviderIdType } from './provider';
export enum ModelTypeEnum {
llm = 'llm',
embedding = 'embedding',
tts = 'tts',
stt = 'stt',
rerank = 'rerank'
}
export const defaultQAModels: LLMModelItemType[] = [
{
type: ModelTypeEnum.llm,
provider: 'OpenAI',
model: 'gpt-4o-mini',
name: 'gpt-4o-mini',
maxContext: 16000,
maxResponse: 16000,
quoteMaxToken: 13000,
maxTemperature: 1.2,
charsPointsPrice: 0,
censor: false,
vision: true,
datasetProcess: true,
toolChoice: true,
functionCall: false,
customCQPrompt: '',
customExtractPrompt: '',
defaultSystemChatPrompt: '',
defaultConfig: {}
}
];
export const defaultVectorModels: EmbeddingModelItemType[] = [
{
type: ModelTypeEnum.embedding,
provider: 'OpenAI',
model: 'text-embedding-3-small',
name: 'Embedding-2',
charsPointsPrice: 0,
defaultToken: 500,
maxToken: 3000,
weight: 100
}
];
export const defaultSTTModels: STTModelType[] = [
{
type: ModelTypeEnum.stt,
provider: 'OpenAI',
model: 'whisper-1',
name: 'whisper-1',
charsPointsPrice: 0
}
];
export const getModelFromList = (
modelList: { provider: ModelProviderIdType; name: string; model: string }[],
model: string
):
| {
avatar: string;
provider: ModelProviderIdType;
name: string;
model: string;
}
| undefined => {
const modelData = modelList.find((item) => item.model === model) ?? modelList[0];
if (!modelData) {
return;
}
const provider = getModelProvider(modelData.provider);
return {
...modelData,
avatar: provider.avatar
};
};
export const modelTypeList = [
{ label: i18nT('common:model.type.chat'), value: ModelTypeEnum.llm },
{ label: i18nT('common:model.type.embedding'), value: ModelTypeEnum.embedding },
{ label: i18nT('common:model.type.tts'), value: ModelTypeEnum.tts },
{ label: i18nT('common:model.type.stt'), value: ModelTypeEnum.stt },
{ label: i18nT('common:model.type.reRank'), value: ModelTypeEnum.rerank }
];