dtamind-components
Version:
Apps integration for Dtamind. Contain Nodes and Credentials.
42 lines (41 loc) • 1.8 kB
TypeScript
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 {};