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dtamind-components

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Apps integration for Dtamind. Contain Nodes and Credentials.

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import { BaseChatModel } from '@langchain/core/language_models/chat_models'; import { VectorStore } from '@langchain/core/vectorstores'; import { PromptTemplate } from '@langchain/core/prompts'; import { LLMChain } from 'langchain/chains'; declare class TaskCreationChain extends LLMChain { constructor(prompt: PromptTemplate, llm: BaseChatModel); static from_llm(llm: BaseChatModel): LLMChain; } declare class TaskPrioritizationChain extends LLMChain { constructor(prompt: PromptTemplate, llm: BaseChatModel); static from_llm(llm: BaseChatModel): TaskPrioritizationChain; } declare class ExecutionChain extends LLMChain { constructor(prompt: PromptTemplate, llm: BaseChatModel); static from_llm(llm: BaseChatModel): LLMChain; } interface Task { task_id: number; task_name: string; } export declare function get_top_tasks(vectorStore: VectorStore, query: string, k: number): Promise<string[]>; export declare class BabyAGI { taskList: Array<Task>; taskCreationChain: TaskCreationChain; taskPrioritizationChain: TaskPrioritizationChain; executionChain: ExecutionChain; taskIdCounter: number; vectorStore: VectorStore; maxIterations: number; topK: number; constructor(taskCreationChain: TaskCreationChain, taskPrioritizationChain: TaskPrioritizationChain, executionChain: ExecutionChain, vectorStore: VectorStore, maxIterations: number, topK: number); addTask(task: Task): void; printTaskList(): void; printNextTask(task: Task): void; printTaskResult(result: string): void; getInputKeys(): string[]; getOutputKeys(): string[]; call(inputs: Record<string, any>): Promise<string>; static fromLLM(llm: BaseChatModel, vectorstore: VectorStore, maxIterations?: number, topK?: number): BabyAGI; } export {};