@juspay/neurolink
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Universal AI Development Platform with working MCP integration, multi-provider support, voice (TTS/STT/realtime), and professional CLI. 58+ external MCP servers discoverable, multimodal file processing, RAG pipelines. Build, test, and deploy AI applicatio
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TypeScript
/**
* BullMQ Backend — Production-grade task scheduling via Redis.
*
* - Cron tasks → BullMQ repeatable jobs with cron pattern
* - Interval tasks → BullMQ repeatable jobs with `every` option
* - One-shot tasks → BullMQ delayed jobs
* - Survives process restarts (Redis-persisted)
*/
import { type Task, type TaskBackend, type TaskExecutorFn, type TaskManagerConfig } from "../../types/index.js";
export declare class BullMQBackend implements TaskBackend {
readonly name = "bullmq";
private queue;
private worker;
private executors;
private config;
constructor(config: TaskManagerConfig);
initialize(): Promise<void>;
shutdown(): Promise<void>;
schedule(task: Task, executor: TaskExecutorFn): Promise<void>;
cancel(taskId: string): Promise<void>;
pause(taskId: string): Promise<void>;
resume(taskId: string): Promise<void>;
isHealthy(): Promise<boolean>;
/**
* Returns a connection options object for BullMQ / ioredis.
* When a URL is provided we parse it fully, preserving TLS (`rediss://`),
* ACL username, password, db index, and any query-string parameters so
* nothing is silently dropped.
*/
private getConnectionConfig;
private ensureInitialized;
private getQueue;
}