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Ai Cerebras Platform Laravel Package
symfony/ai-cerebras-platform
Symfony AI bridge for the Cerebras inference platform. Adds a Cerebras connector to run chat completions and other inference requests through Symfony AI, with links to Cerebras API docs and contribution/issue tracking in the main Symfony AI repository.
Cerebras platform bridge for Symfony AI
Frequently asked questions about Ai Cerebras Platform
- How do I integrate the Symfony AI Cerebras package into a Laravel project?
- First, install the Symfony AI package via Composer (`composer require symfony/ai`), then create a custom Laravel Service Provider to bind `CerebrasClient` to Laravel’s container. Use Guzzle or Symfony’s HttpClient for API calls, wrapped in a Laravel-specific client class. Follow the TPM example in the description for dependency injection setup.
- Does this package support Laravel’s dependency injection and facades?
- Yes, the package requires a custom Laravel Service Provider to bind `CerebrasClient` and expose it via facades or container aliases. This ensures compatibility with Laravel’s DI system while abstracting Symfony’s container. Example code is provided in the TPM assessment for binding the client.
- Can I use this package with Laravel’s Livewire or Echo for real-time streaming?
- Absolutely. The package supports streaming responses via `SymfonyStreamedResponse` for real-time chat UIs. For Livewire, use Laravel Echo with Pusher or Ably to broadcast streamed Cerebras responses. Example integration is included in the TPM assessment for both Livewire and Echo.
- What Laravel versions are compatible with this Cerebras bridge?
- The package relies on Symfony AI, which supports Laravel 10+ and 11+. Ensure your Laravel version aligns with Symfony’s latest stable release. Check the Symfony AI repository for exact version requirements, as they may evolve with updates.
- How do I handle authentication and API keys for Cerebras in Laravel?
- Store your Cerebras API key in Laravel’s `config/services.php` under `cerebras.api_key`. Use middleware like `auth:api` to validate requests, and wrap the client in a Laravel-specific class to handle key injection and retries. Example middleware and route setup is provided in the TPM assessment.
- Can I cache Cerebras API responses in Laravel?
- Yes, use Laravel’s caching system (Redis, database) to cache deterministic responses like structured outputs. Tag cached items for invalidation (e.g., `ai:cerebras`, `model:gpt-4`) and implement a fallback mechanism if the cache misses. The TPM assessment includes a caching example using `Cache::tags()`.
- How do I implement fallback logic if Cerebras fails (e.g., switch to OpenAI)?
- Use Laravel middleware to route failed Cerebras requests to a fallback provider like OpenAI. Implement this in your `CerebrasController` or a custom middleware class. The TPM assessment mentions middleware for rate limiting and provider routing, which can be extended for fallback logic.
- Is there support for async processing or queue jobs with this package?
- Yes, leverage Laravel Queues to process inference jobs asynchronously. Create a custom job class (e.g., `CerebrasInferenceJob`) that extends `ShouldQueue` and injects the `CerebrasClient`. Example job implementation is provided in the TPM assessment for async workflows.
- What are the alternatives to this package for Laravel Cerebras integration?
- If you need a more Laravel-native solution, consider building a custom package (e.g., `laravel-cerebras`) that wraps this Symfony bridge. Alternatively, use the raw Cerebras API with Guzzle or Symfony’s HttpClient directly, though you’d lose Symfony AI’s abstractions and features like multi-provider routing.
- How do I handle errors and exceptions from Cerebras in Laravel?
- Extend Laravel’s exception handler to convert Cerebras’ `ApiError` into `ProblemDetails` or custom exceptions. Bind the error handler in your Service Provider to ensure consistent error formatting. The TPM assessment includes an example for wrapping `ApiError` in a Laravel-specific exception class.
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