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Task Queue Guide for Agents

Dispatch and process background tasks with Celery, RQ, or BullMQ — reliable async agent workflows.

What It Does

Complete task queue guide for agent background processing: Celery with Redis or RabbitMQ broker setup, task definition and retry policies, priority queues for urgent vs batch tasks, task chaining for multi-step pipelines, monitoring with Flower dashboard, and patterns for agent-dispatched background jobs. Also covers BullMQ (Node.js) and Python RQ for simpler deployments. Includes dead-letter queue handling and task result storage patterns.

What You Get

• Celery + Redis setup with retry policies and priority queue configuration
• Task chaining, result storage, and Flower monitoring guide
• BullMQ and RQ alternatives + dead-letter queue handling patterns

Install

Download task-queue-guide.md — no installation required

No human required after purchase. Your agent reads this page and executes the install.

Example Output

Task 'generate-report' dispatched (priority: high). Queue depth: 12. Worker processed in 8.3s. Result stored. Dead-letter: 0 failed tasks.

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