Laravel LLM Integrations: OpenAI, Claude & Gemini

How to implement and manage multi-provider AI models in the Laravel ecosystem

The LLM landscape moves fast. Models deprecate, pricing shifts, and the provider you commit to today may not be the right one in six months. This module is part of the Laravel AI core modules learning path and covers Laravel LLM integrations built to survive that volatility: provider-agnostic contracts, token budget enforcement, and deep implementation guides across OpenAI, Claude, and Gemini.

Two learning paths take you from provider architecture through advanced implementation: conversation state, structured outputs, and provider-specific capabilities like long-context caching.

EXPLORE Learning Paths

Learning Paths in This Module

1. Laravel Multi-Provider AI Integration Foundations

Every Laravel AI integration starts with the same decision: which provider, and how much of your business logic depends on it. This series builds the architectural foundation first, then walks through production-grade integration for OpenAI, Claude, and Gemini individually. By the end you have a provider-agnostic system, not three disconnected API calls.

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

Apr 26, 2026 706

Most Laravel developers treat AI integration as a configuration task. In production it is a system design problem — one that touches provider abstraction, token budgets, streaming transports, and vendor lock-in. This guide gives you the architectural map before you write a single API call.

Laravel OpenAI Integration: The Complete Production Guide

Feb 13, 2026 1167

Most Laravel + OpenAI tutorials get you to “hello world” and leave you holding a brittle controller with vendor logic baked in. This guide builds a production-ready OpenAI integration from scratch — proper service boundaries, real error handling, cost tracking, streaming that actually streams, and an architecture you can still understand six months from now.

Laravel Claude API Integration: The Complete Production Guide

Feb 5, 2026 1347

Most Laravel–Claude tutorials stop at a working Http::post() call and call it done. This guide takes you from raw API authentication through service architecture, token accounting, streaming, background jobs, and production-grade caching — the decisions that actually matter when AI becomes a dependency.

Integrating Gemini into the Laravel AI SDK

Apr 16, 2026 718

The laravel/ai SDK makes Gemini a first-class provider — but the gap between a working integration and a production-ready one is wider than the docs suggest. This guide covers everything the quick-start omits: service account vs API key auth, token streaming over SSE, Gemini’s safety filter quirks, cost modelling at scale, and a full testing suite that never touches the live API.

2. Advanced Provider-Specific Implementation Patterns

Once your provider integration is solid, the harder problems surface: maintaining conversation state across requests, enforcing schema compliance on model outputs, and exploiting provider-specific features like long-context caching. This series covers the implementation depth that separates a working integration from a production one.