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2d3117c5da
* update: Add type * fix: update import statement for NextApiRequest type * fix: update imports to use type for LexicalEditor and EditorState * Refactor imports to use 'import type' for type-only imports across multiple files - Updated imports in various components and API files to use 'import type' for better clarity and to optimize TypeScript's type checking. - Ensured consistent usage of type imports in files related to chat, dataset, workflow, and user management. - Improved code readability and maintainability by distinguishing between value and type imports. * refactor: remove old ESLint configuration and add new rules - Deleted the old ESLint configuration file from the app project. - Added a new ESLint configuration file with updated rules and settings. - Changed imports to use type-only imports in various files for better clarity and performance. - Updated TypeScript configuration to remove unnecessary options. - Added an ESLint ignore file to exclude build and dependency directories from linting. * fix: update imports to use 'import type' for type-only imports in schema files
88 lines
2.2 KiB
TypeScript
88 lines
2.2 KiB
TypeScript
import { i18nT } from '../../../web/i18n/utils';
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import type { LLMModelItemType, STTModelType, EmbeddingModelItemType } from './model.d';
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import { getModelProvider, type ModelProviderIdType } from './provider';
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export enum ModelTypeEnum {
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llm = 'llm',
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embedding = 'embedding',
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tts = 'tts',
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stt = 'stt',
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rerank = 'rerank'
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}
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export const defaultQAModels: LLMModelItemType[] = [
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{
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type: ModelTypeEnum.llm,
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provider: 'OpenAI',
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model: 'gpt-4o-mini',
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name: 'gpt-4o-mini',
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maxContext: 16000,
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maxResponse: 16000,
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quoteMaxToken: 13000,
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maxTemperature: 1.2,
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charsPointsPrice: 0,
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censor: false,
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vision: true,
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datasetProcess: true,
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toolChoice: true,
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functionCall: false,
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customCQPrompt: '',
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customExtractPrompt: '',
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defaultSystemChatPrompt: '',
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defaultConfig: {}
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}
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];
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export const defaultVectorModels: EmbeddingModelItemType[] = [
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{
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type: ModelTypeEnum.embedding,
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provider: 'OpenAI',
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model: 'text-embedding-3-small',
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name: 'Embedding-2',
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charsPointsPrice: 0,
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defaultToken: 500,
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maxToken: 3000,
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weight: 100
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}
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];
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export const defaultSTTModels: STTModelType[] = [
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{
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type: ModelTypeEnum.stt,
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provider: 'OpenAI',
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model: 'whisper-1',
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name: 'whisper-1',
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charsPointsPrice: 0
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}
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];
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export const getModelFromList = (
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modelList: { provider: ModelProviderIdType; name: string; model: string }[],
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model: string
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):
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| {
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avatar: string;
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provider: ModelProviderIdType;
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name: string;
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model: string;
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}
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const modelData = modelList.find((item) => item.model === model) ?? modelList[0];
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if (!modelData) {
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return;
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}
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const provider = getModelProvider(modelData.provider);
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return {
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...modelData,
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avatar: provider.avatar
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};
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};
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export const modelTypeList = [
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{ label: i18nT('common:model.type.chat'), value: ModelTypeEnum.llm },
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{ label: i18nT('common:model.type.embedding'), value: ModelTypeEnum.embedding },
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{ label: i18nT('common:model.type.tts'), value: ModelTypeEnum.tts },
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{ label: i18nT('common:model.type.stt'), value: ModelTypeEnum.stt },
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{ label: i18nT('common:model.type.reRank'), value: ModelTypeEnum.rerank }
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];
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