Integrating AI into Laravel
Most AI tutorials assume you use Python. This leaves PHP developers behind.
I recently added AI features to a production Laravel dashboard. I used the Claude and OpenAI APIs to generate report summaries from raw data. It was not hard. The challenge was finding good PHP documentation.
Here is how you build a clean, production-ready AI integration in Laravel.
- Setup your credentials
Add your keys to your .env file. Never hardcode these.
AI_PROVIDER=claude ANTHROPIC_API_KEY=your_key OPENAI_API_KEY=your_key
Register these in config/services.php. This allows you to use Laravel config caching.
- Use a Driver Pattern
Do not scatter API calls in your controllers. Create an interface first.
Define an AiClientInterface with a complete method. Then, create two classes: ClaudeClient and OpenAiClient. Both implement the same interface.
This lets you switch providers by changing one line in your .env file. If one service goes down, your app stays up.
- Use Laravel's HTTP Client
Laravel makes API calls simple. You do not need complex cURL code.
• Use withToken() for OpenAI. • Use withHeaders() for Claude. • Use timeout() to prevent hanging requests. • Use retry() to handle rate limits automatically.
- Production Best Practices
AI calls are slow and expensive. Follow these rules to save money and improve speed:
• Cache results: If the input data is the same, return the cached summary. This cut my costs by 70%. • Use Queues: Never make a user wait 10 seconds for a response. Use a queued job to process the AI task in the background. • Handle failures: Wrap your AI calls in try-catch blocks. If the AI fails, show the raw data instead of an error page. • Set limits: Always set a max_tokens value to control your spend.
You do not need to learn Python to build AI features. Your PHP skills work perfectly here.
Have you added AI to your PHP apps? Did you use an SDK or raw HTTP?
Optional learning community: https://t.me/GyaanSetuAi