How to Handle AI API Timeouts in Laravel Using Async Background Jobs

Integrating third-party AI or LLM APIs directly into synchronous web controllers can exhaust server resources when responses take 10 or more seconds. A recommended solution is to offload these calls to asynchronous Laravel queue jobs, decoupling them from the main HTTP thread. A production-ready implementation uses a dedicated job class with retry limits and exponential backoff intervals of 15, 45, and 90 seconds to handle rate limits or provider downtime gracefully. This architecture prevents unhandled server errors and keeps the core application resilient under external API latency. The approach also makes the pipeline logic reusable and easier to package as open-source tooling.