- What is symfony/ai-cerebras-platform used for?
- It adds a Cerebras connector to Symfony AI so applications can run chat completions and other inference requests against Cerebras. In Laravel, the typical use case is adding Cerebras as an AI provider behind your own service provider, facade, controller, or queued job. It is not a standalone Cerebras SDK or a Laravel-first package.
- How do I install symfony/ai-cerebras-platform?
- Install it with Composer using composer require symfony/ai-cerebras-platform. It is a Symfony AI bridge, so you will also need the relevant Symfony AI components and a Cerebras API key. In Laravel, plan to register the connector through a custom service provider rather than expecting package-provided Laravel bindings.
- Does symfony/ai-cerebras-platform work with Laravel?
- It is built for Symfony AI rather than Laravel, so it does not publish Laravel-specific version constraints. You can use it in Laravel projects that can install the required Symfony components, but you should verify compatibility with your Laravel and PHP versions in CI. The integration requires your own service provider and client binding.
- How do I configure the Cerebras API key in Laravel?
- Configure your Cerebras API key and platform settings through Symfony AI, then expose those values to Laravel configuration. The integration example binds CerebrasClient with config('services.cerebras.api_key'), an HTTP client, and any routing logic. Keep credentials in environment variables and avoid hard-coding them in service providers.
- How do I run a Cerebras chat completion from Laravel?
- After binding the Cerebras client in Laravel's container, call the Symfony AI Cerebras connector for chat completions from a controller or service. Wrap the call in your own client method, such as chatCompletions(array $payload), so you can handle authentication, retries, and response formatting. Return the result as JSON or transform it for your application.
- Can I stream Cerebras responses in a Laravel app?
- Yes, if the underlying Symfony AI Cerebras connector exposes streamed responses, you can adapt them to Laravel's streamed response handling. Use response()->stream or Symfony's StreamedResponse with a text/event-stream content type, and process each delta as it arrives. Test streaming carefully in your target Laravel and web server setup.
- How do I test a Laravel integration without calling Cerebras?
- Mock the Cerebras connector or HTTP layer rather than calling the live Cerebras API in most tests. In Laravel, bind a fake CerebrasClient in the container and assert that your controllers, jobs, and streaming endpoints use it correctly. Keep a small number of optional integration tests that run only with real credentials.
- What production concerns should I handle with Cerebras in Laravel?
- Treat Cerebras as an external dependency: add timeouts, retries, rate limiting, and graceful fallbacks for API errors. Avoid caching sensitive or user-specific prompts unless you have a clear invalidation and privacy strategy. For streaming, verify proxy buffering, SSE headers, and queue or broadcast behavior under load.
- What are alternatives to symfony/ai-cerebras-platform?
- Alternatives include using Cerebras' HTTP API directly, another Symfony AI platform bridge, or a Laravel-specific AI package that already supports multiple providers. This package makes sense when you want Cerebras inside Symfony AI's provider abstraction and are willing to add Laravel glue code. If you need zero-glue Laravel integration, evaluate Laravel-first packages first.
- Is symfony/ai-cerebras-platform maintained, and where do I report issues?
- The package lives in the Symfony AI ecosystem, and issues or pull requests should go to the main symfony/ai repository rather than a separate Laravel repository. Check the Symfony AI repository for recent activity, releases, and contribution guidelines. Because Laravel integration is custom, you own the service provider and compatibility testing in your app.