| 123456789101112131415161718192021222324252627282930313233343536373839404142434445464748495051525354555657585960616263646566676869707172737475767778798081828384858687888990919293949596979899100101102103104105106107108109110111112113114115116117118119120121122123124125126127128129130131132133134135136137138139140141142143144145146147148149150151152153154155156157158159160161162163164165166167168169170171172173174175176177178179180181182183184185186187188189190191192193194195196197198199200201202203204205206207208209210211212213214215216217218219220221222223224225226 | import type { AgentStrategy, ModelModeType, RETRIEVE_TYPE, ToolItem } from '@/types/app'export type Inputs = Record<string, string | number | object>export enum PromptMode {  simple = 'simple',  advanced = 'advanced',}export type PromptItem = {  role?: PromptRole  text: string}export type ChatPromptConfig = {  prompt: PromptItem[]}export type ConversationHistoriesRole = {  user_prefix: string  assistant_prefix: string}export type CompletionPromptConfig = {  prompt: PromptItem  conversation_histories_role: ConversationHistoriesRole}export type BlockStatus = {  context: boolean  history: boolean  query: boolean}export enum PromptRole {  system = 'system',  user = 'user',  assistant = 'assistant',}export type PromptVariable = {  key: string  name: string  type: string // "string" | "number" | "select",  default?: string | number  required?: boolean  options?: string[]  max_length?: number  is_context_var?: boolean  enabled?: boolean  config?: Record<string, any>  icon?: string  icon_background?: string}export type CompletionParams = {  max_tokens: number  temperature: number  top_p: number  presence_penalty: number  frequency_penalty: number  stop?: string[]}export type ModelId = 'gpt-3.5-turbo' | 'text-davinci-003'export type PromptConfig = {  prompt_template: string  prompt_variables: PromptVariable[]}export type MoreLikeThisConfig = {  enabled: boolean}export type SuggestedQuestionsAfterAnswerConfig = MoreLikeThisConfigexport type SpeechToTextConfig = MoreLikeThisConfigexport type TextToSpeechConfig = {  enabled: boolean  voice?: string  language?: string}export type CitationConfig = MoreLikeThisConfigexport type AnnotationReplyConfig = {  id: string  enabled: boolean  score_threshold: number  embedding_model: {    embedding_provider_name: string    embedding_model_name: string  }}export type ModerationContentConfig = {  enabled: boolean  preset_response?: string}export type ModerationConfig = MoreLikeThisConfig & {  type?: string  config?: {    keywords?: string    api_based_extension_id?: string    inputs_config?: ModerationContentConfig    outputs_config?: ModerationContentConfig  } & Partial<Record<string, any>>}export type RetrieverResourceConfig = MoreLikeThisConfigexport type AgentConfig = {  enabled: boolean  strategy: AgentStrategy  max_iteration: number  tools: ToolItem[]}// frontend use. Not the same as backendexport type ModelConfig = {  provider: string // LLM Provider: for example "OPENAI"  model_id: string  mode: ModelModeType  configs: PromptConfig  opening_statement: string | null  more_like_this: MoreLikeThisConfig | null  suggested_questions_after_answer: SuggestedQuestionsAfterAnswerConfig | null  speech_to_text: SpeechToTextConfig | null  text_to_speech: TextToSpeechConfig | null  retriever_resource: RetrieverResourceConfig | null  sensitive_word_avoidance: ModerationConfig | null  dataSets: any[]  agentConfig: AgentConfig}export type DatasetConfigItem = {  enable: boolean  value: number}export type DatasetConfigs = {  retrieval_model: RETRIEVE_TYPE  reranking_model: {    reranking_provider_name: string    reranking_model_name: string  }  top_k: number  score_threshold_enabled: boolean  score_threshold?: number | null  datasets: {    datasets: {      enabled: boolean      id: string    }[]  }}export type DebugRequestBody = {  inputs: Inputs  query: string  completion_params: CompletionParams  model_config: ModelConfig}export type DebugResponse = {  id: string  answer: string  created_at: string}export type DebugResponseStream = {  id: string  data: string  created_at: string}export type FeedBackRequestBody = {  message_id: string  rating: 'like' | 'dislike'  content?: string  from_source: 'api' | 'log'}export type FeedBackResponse = {  message_id: string  rating: 'like' | 'dislike'}// Log session listexport type LogSessionListQuery = {  keyword?: string  start?: string // format datetime(YYYY-mm-dd HH:ii)  end?: string // format datetime(YYYY-mm-dd HH:ii)  page: number  limit: number // default 20. 1-100}export type LogSessionListResponse = {  data: {    id: string    conversation_id: string    query: string // user's query question    message: string // prompt send to LLM    answer: string    creat_at: string  }[]  total: number  page: number}// log session detail and debugexport type LogSessionDetailResponse = {  id: string  cnversation_id: string  model_provider: string  query: string  inputs: Record<string, string | number | object>[]  message: string  message_tokens: number // number of tokens in message  answer: string  answer_tokens: number // number of tokens in answer  provider_response_latency: number // used time in ms  from_source: 'api' | 'log'}export type SavedMessage = {  id: string  answer: string}
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