Async AI Processing: Building Non-Blocking AI Workflows

The Async Architecture

• Submit: Client POSTs task → API saves to queue → returns job ID immediately
• Process: Worker dequeues job → calls LLM → processes result → stores in DB
• Retrieve: Client polls GET /jobs/{id}, or receives webhook callback

Queue Options

Handling Long-Running Agents

Agents taking 5–30 minutes require: progress updates (stream to websocket or store in DB), checkpointing (save state so a crash doesn't restart from zero), and dead-letter queues (capture failed jobs for debugging).

Build Production AI Infrastructure

Our workshop covers async patterns, queue design, and production deployment for AI systems.