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PHP LLM Provider Setup: Adapters, SDKs, and Test Mocks

Use a small PHP-owned provider interface to switch between Groq and OpenAI, keep provider differences in adapters, and inject a deterministic fake for tests.
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To switch between Groq and OpenAI in PHP without tying your application to either vendor’s SDK, define a small application-owned interface, implement a separate adapter for each provider, and inject a deterministic mock in tests. You can also use a PHP SDK with a shared provider workflow. Groq’s OpenAI-compatible API can reduce integration work, but compatibility is partial—not a guarantee that every feature or behavior matches OpenAI.

What should the application interface do?

Start with the behavior your application needs, not with a vendor’s request format. For example, an application service might need to submit a normalized prompt and receive a normalized result. Keep that contract narrow: expose only the options the application actually uses, rather than mirroring every setting from either provider.

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Keep provider-specific model IDs, credentials, endpoints, request translation, response parsing, and capability differences in the provider adapters or configuration. Business logic should depend on the application interface, not on a Groq or OpenAI SDK class.

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<?php

interface LlmProvider
{
    public function generate(GenerationRequest $request): GenerationResult;
}

final class OpenAiProvider implements LlmProvider
{
    public function generate(GenerationRequest $request): GenerationResult
    {
        // Translate the application request, call OpenAI, and normalize its response.
    }
}

final class GroqProvider implements LlmProvider
{
    public function generate(GenerationRequest $request): GenerationResult
    {
        // Translate the application request, call Groq, and normalize its response.
    }
}

final class FakeLlmProvider implements LlmProvider
{
    public function generate(GenerationRequest $request): GenerationResult
    {
        return new GenerationResult('A fixed response for this test.');
    }
}

GenerationRequest and GenerationResult here are application-owned types; shape them around your use case. The example illustrates the seam, not a complete HTTP client or tested implementation.

How do you switch providers?

Select the implementation through dependency injection or configuration at the application boundary. For instance, production configuration can bind the interface to the OpenAI or Groq adapter, while a test binds it to the fake. Keep provider choice out of business logic so changing the binding does not change the application’s workflow.

  • Store each provider’s credential outside source code, such as in environment-based configuration.
  • Keep model identifiers and endpoint configuration with the corresponding provider.
  • Map provider-specific failures to application-level errors the rest of the application understands.
  • Represent capabilities that matter to your application explicitly; do not silently promise features that a provider cannot support.

Can you use the OpenAI client with Groq?

For supported operations, often: Groq documents https://api.groq.com/openai/v1 as its OpenAI-compatible base URL, and documents chat completions at POST https://api.groq.com/openai/v1/chat/completions. The chat-completions request requires messages and model. See Groq’s API overview and API reference.

Groq describes its compatibility as “mostly” compatible and documents unsupported OpenAI features. A base-URL change can simplify transport for a compatible request, but does not establish parity in every parameter, response, tool, streaming mode, or structured-output behavior. Check Groq’s OpenAI compatibility documentation for the specific feature you plan to use, and keep any necessary differences in the adapter.

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Should you build adapters or use a provider SDK?

A hand-built interface gives you control over the exact contract and test seam, while a provider SDK can supply shared workflow and adapter machinery. The PHP AI SDK documents provider packages as handling authentication, endpoint configuration, request translation, response parsing, and capability adapters. Its provider documentation describes a common public workflow; its capability documentation also shows that provider capabilities can differ. See AI Providers and PHP AI SDK.

Choice Where it fits What to verify
Application-owned adapters You need a narrow application contract, precise control of provider differences, or a straightforward fake for tests. You own request and response translation, error mapping, and any provider-specific capability handling.
Shared provider SDK You want a common workflow and provider packages that handle recurring integration concerns. Confirm the providers and capabilities you need are supported, and check current package maintenance and PHP constraints.

For one concrete package example, the PHP AI SDK’s Groq README documents installation with composer require aisdk/groq, a required GROQ_API_KEY, and a default Groq base URL. Those are package-specific instructions; consult the Groq provider README for its current setup details.

Version constraints matter. Packagist lists aisdk/groq 0.8.0, dated 2026-07-15, with requirements of PHP ^8.3 and aisdk/core ^0.8.0. This is a dated package record, not a guarantee about a later release. Check the current Packagist listing before installing, and verify maintenance and feature fit for your project.

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How can you mock LLM calls in PHP tests?

Test application behavior with a fake provider

Inject a fake implementation that returns fixed normalized results. Use it to test how the application responds to ordinary output, empty or unexpected content, and provider-level errors represented by your application contract. These unit tests need neither provider credentials nor a live API call, and they remain deterministic.

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Test the HTTP adapter with queued responses

When testing the adapter itself, use a mock HTTP handler with queued responses and inspect the outgoing request. This can verify such details as the URL, authentication header, serialized model and messages, and how the adapter handles success and error responses. Guzzle’s v5 documentation describes queued mock responses and notes that remote API calls are a poor fit for predictable unit tests; its APIs are version-specific, so check the documentation for the Guzzle version in your project before copying its examples: Guzzle v5 documentation.

Keep live integration tests separate

A smaller integration-test layer can exercise real provider behavior when credentials and network access are intentionally available. Keep those tests distinct from routine unit tests, and cover missing credentials, provider error mapping, malformed or unexpected responses, and features that a provider does not support.

What should the abstraction do when providers differ?

Do not force every provider into a lowest-common-denominator interface if the application needs a capability that only some providers offer. Instead, make support visible: the adapter can report or reject an unsupported feature, or the application contract can model optional capabilities explicitly. That avoids a successful-looking provider switch that silently drops behavior.

The cited material does not establish a current, directly comparable OpenAI-versus-Groq price, rate-limit, speed, or complete model-by-model capability comparison. Those details vary by model and can change; check each provider’s current documentation for the exact model and feature rather than assuming parity from endpoint compatibility.

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