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

DEV Community·Dewald Hugo·about 1 month ago
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#use#provider#token#laravel#streaming#gemini
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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 AI integration is not an API problem. It is an architecture problem. The API call is the easy part. The hard part is building the layer around it that makes AI behaviour predictable, cost-controlled, and provider-agnostic. This guide does not walk you through any provider’s authentication flow.…

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