Laravel AI Integration: A Production-Ready Architecture Guide (OpenAI vs Gemini vs Claude)

Every Laravel AI integration starts the same way. You install a package, copy an API key into .env , write a controller method that fires a prompt, and it works. Then you ship it. Then you get your first production incident, a 429 rate limit silences a customer-facing feature at 2AM, a Gemini model deprecation breaks a workflow three sprints before anyone noticed the announcement, or a runaway token loop burns through your monthly budget in four hours. That is the moment you realise that Laravel