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Finley Ge
939282b7c8
* doc * wip(next): upgrade next16 with next-rspack to build (#6501) * wip(next): upgrade next16 with next-rspack to build * wip: fix tsconfig path alias, bump various deps * fix: test action pnpm version, immer dep * fix: only use Rspack for develop environment * lock * fix: dataset choice hint (#6514) * fix: dataset choice hint * fix: regex replaceVarible remove useless match group * fix: type check (#6515) * test: perfect test cases for replaceVarible function in like case (#6516) --------- Co-authored-by: archer <545436317@qq.com> Co-authored-by: Ryo <whoeverimf5@gmail.com>
115 lines
2.9 KiB
TypeScript
115 lines
2.9 KiB
TypeScript
import { i18nT } from '../../../web/i18n/utils';
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import type { CompletionUsage } from './type';
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import type { LLMModelItemType, EmbeddingModelItemType, STTModelType } from './model.schema';
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export const getLLMDefaultUsage = (): CompletionUsage => {
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return {
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prompt_tokens: 0,
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completion_tokens: 0,
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total_tokens: 0
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};
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};
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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-5',
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name: 'gpt-5',
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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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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 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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export enum ChatCompletionRequestMessageRoleEnum {
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'System' = 'system',
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'Developer' = 'developer',
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'User' = 'user',
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'Assistant' = 'assistant',
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'Function' = 'function',
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'Tool' = 'tool'
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}
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export enum ChatMessageTypeEnum {
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text = 'text',
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image_url = 'image_url'
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}
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export enum LLMModelTypeEnum {
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all = 'all',
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classify = 'classify',
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extractFields = 'extractFields',
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toolCall = 'toolCall'
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}
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export const llmModelTypeFilterMap = {
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[LLMModelTypeEnum.all]: 'model',
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[LLMModelTypeEnum.classify]: 'usedInClassify',
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[LLMModelTypeEnum.extractFields]: 'usedInExtractFields',
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[LLMModelTypeEnum.toolCall]: 'usedInToolCall'
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};
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export enum EmbeddingTypeEnm {
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query = 'query',
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db = 'db'
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}
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export const completionFinishReasonMap = {
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error: i18nT('chat:completion_finish_error'),
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close: i18nT('chat:completion_finish_close'),
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stop: i18nT('chat:completion_finish_stop'),
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length: i18nT('chat:completion_finish_length'),
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tool_calls: i18nT('chat:completion_finish_tool_calls'),
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content_filter: i18nT('chat:completion_finish_content_filter'),
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function_call: i18nT('chat:completion_finish_function_call'),
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null: i18nT('chat:completion_finish_null')
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};
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