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@elimeleth/builderbot-langchain

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Interface para crear chatbot con Builderbot & LangChain

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import { EVENTS } from "@builderbot/bot"; import { TFlow } from "@builderbot/bot/dist/types"; import { Embeddings } from "@langchain/core/embeddings"; import { BaseRetrieverInput } from "@langchain/core/retrievers"; import { VectorStore } from "@langchain/core/vectorstores"; import { ZodType, ZodTypeDef } from "zod"; export type Eventskrd = keyof typeof EVENTS; export type Callbacks = { beforeStart?: <P, B>(flow: TFlow<P, B>) => TFlow<P, B>; afterEnd?: <P, B>(flow: TFlow<P, B>) => TFlow<P, B>; onFailure?: (error: Error) => void; }; export type ModelArgs = { modelName: string; maxOutputTokens?: number; apikey?: string; temperature?: number; topK?: number; topP?: number; }; export type Store = { urlOrPath?: string; schema?: string[]; store?: VectorStore | unknown; embbedgins?: Embeddings; }; export type Retriever = { searchFn?: (query: string) => Promise<any[]>; fields?: BaseRetrieverInput; }; export type ModelName = 'gemini' | 'openai'; export type InvokeParams = { question: string; language: string; history: any; format_instructions?: string; } | { [key: string]: string; }; export type ContextOpts = { similarityThreshold: number; k: number; path: string; }; export type RunnableConf = { prompt?: string; answerSchema: ZodType<any, ZodTypeDef, any>; }; //# sourceMappingURL=types.d.ts.map