Deploying AI-Powered Laravel Apps: Queues, Streaming, Timeouts

Short summary

A practical guide to the server-side operations of running LLM workloads on Laravel, covering timeout mismatches across PHP-FPM, Nginx, and Laravel HTTP client that break AI requests. The core recommendation is to never make LLM calls inside web requests—use queued jobs instead to avoid exhausting FPM worker pools. The article also addresses FastCGI buffering for streaming, queue retry_after double-billing risks, and other production concerns.

• •LLM calls break default server configs: timeouts, buffering, and queue retries all need adjustment
• •Never call LLMs synchronously in web requests; dispatch queued jobs to protect FPM worker pools
• •Covers Nginx streaming, queue retry_after double-billing, and PHP max_execution_time tuning

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