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Ai Cartesia Platform Laravel Package
symfony/ai-cartesia-platform
Symfony AI bridge for the Cartesia Platform. Integrates Cartesia APIs for text-to-speech (bytes) and speech-to-text transcription, enabling easy API requests and usage within Symfony applications via the Symfony AI ecosystem.
Cartesia platform bridge for Symfony AI
Frequently asked questions about Ai Cartesia Platform
- How do I install symfony/ai-cartesia-platform in a Laravel app?
- Install it with Composer using composer require symfony/ai-cartesia-platform. It is a Symfony AI bridge, not a native Laravel package, so it will not auto-register a Laravel facade or service provider. You need to register the Cartesia provider in a Laravel service provider and configure its dependencies, including the Symfony AI ecosystem and an HTTP client. Test Composer dependency resolution in your Laravel app before relying on it.
- Does symfony/ai-cartesia-platform support Laravel 10 or Laravel 11?
- There is no Laravel-specific version support matrix because this is a Symfony AI bridge. Laravel 10 or 11 can use it only if its PHP and Symfony AI/HttpClient dependencies resolve in your application. You must provide the Laravel integration layer yourself, such as a service provider, facade, and configuration mapping. Check the package's Composer constraints and validate in a staging app.
- How do I use Cartesia text-to-speech bytes in Laravel?
- Use the Symfony AI Cartesia provider to call the Cartesia text-to-speech bytes API and receive audio bytes. In Laravel, wrap that provider behind a service or facade method such as Cartesia::tts()->generate() for cleaner controller usage. Handle API credentials, error mapping, and audio storage or streaming in your Laravel layer. For large audio responses, consider queues or streamed responses instead of holding everything in memory.
- Can I use Cartesia speech-to-text transcription in a Laravel application?
- Yes, the package integrates Cartesia speech-to-text transcription through the Symfony AI bridge. You would submit audio to Cartesia's transcription API and handle the returned text or metadata inside your Laravel service. Because large audio files can be problematic, use Laravel queues, validation, and storage rules for uploads. Also map Cartesia-specific failures such as invalid formats or quota errors to Laravel exceptions.
- How should I configure Cartesia API credentials in Laravel?
- Store the Cartesia API key in your Laravel .env file and expose it through a config file, for example config/services.php or a dedicated AI config file. Inject that configuration into your Cartesia provider registration rather than hardcoding credentials. Run php artisan config:cache after configuration changes. Keep separate keys per environment and avoid committing secrets.
- Is there a Laravel facade or service provider included in symfony/ai-cartesia-platform?
- No, the package is a Symfony AI platform bridge and does not include Laravel-specific facades or auto-discovered service providers. You can create your own Laravel service provider to bind the Cartesia provider as a singleton. A custom facade can expose convenient methods for TTS and STT calls. This keeps the Symfony bridge decoupled while giving Laravel developers a familiar API.
- How do I handle retries and errors when calling Cartesia from Laravel?
- You can use Symfony HttpClient retry middleware or wrap calls with Laravel's retry helper, depending on how you inject the HTTP client. Map Cartesia-specific errors such as quota exceeded, invalid audio format, or authentication failures to Laravel exceptions or responses. Avoid blind retries for requests that may not be safe to repeat. Log failures and monitor rate limits so retries do not amplify outages.
- Can I test the Cartesia integration in Laravel without real API calls?
- Yes, mock the underlying HTTP client or bind a fake Cartesia provider in Laravel's service container. The package does not ship Laravel-specific tests, so you should write Pest or PHPUnit tests for malformed audio, authentication failures, rate limits, and successful TTS or STT responses. Assert that your service provider wiring and exception mapping behave correctly. This is important because Cartesia API behavior and package APIs may change.
- Is symfony/ai-cartesia-platform production-ready for Laravel applications?
- Treat it as early-stage: it is a v0.x Symfony AI bridge with low GitHub activity, limited changelog detail, and no built-in Laravel tests. Cartesia backend changes or package API changes could affect your integration. Before production, audit latency, pricing, error behavior, and fallback options. Add monitoring, tests, and a plan for swapping providers if needed.
- What are alternatives to Cartesia for Laravel text-to-speech and speech-to-text?
- Alternatives include AWS Polly and Transcribe, Google Cloud speech services, Azure speech services, and other AI audio providers. Symfony AI may offer other platform bridges, but swapping providers is not just a configuration change because provider logic and response handling differ. For Laravel, compare latency, pricing, regional support, and SDK maturity. A multi-provider abstraction can reduce lock-in but adds implementation and testing work.
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