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Ai Cache Platform Laravel Package
symfony/ai-cache-platform
Cache Platform is the bridge that connects Symfony AI to a caching backend, letting you store and reuse AI responses efficiently. Part of the Symfony AI project; report issues and send pull requests in the main repository.
Cache Platform is a bridge that connects Symfony AI applications to a caching backend, letting you store and retrieve AI results without recomputing expensive calls. It integrates seamlessly with the Symfony AI ecosystem, so cached responses can be reused across requests for faster, more cost-effective operation.
- Plug-and-play cache bridge for Symfony AI
- Reduces redundant AI calls by reusing cached results
- Fits naturally into the Symfony AI component stack
- Simple setup with minimal configuration
- Maintained within the Symfony AI monorepo
Frequently asked questions about Ai Cache Platform
- What is symfony/ai-cache-platform and what Laravel use cases does it fit?
- It is a cache platform bridge for Symfony AI that caches AI-generated responses to avoid repeated LLM calls. In Laravel, it fits cost-sensitive or high-frequency AI workflows such as dynamic content generation and recommendations where identical inputs recur. It requires symfony/ai and is not a generic caching package. Use it when you want standardized PSR-6 caching for AI features alongside Laravel's cache infrastructure.
- How do I install symfony/ai-cache-platform in a Laravel application?
- Install it with Composer via composer require symfony/ai-cache-platform and make sure symfony/ai is present. Because it is a Symfony bridge, you will likely need a Laravel service provider to bind Symfony's CachePlatform to Laravel's container. Check the package's Composer constraints and pin versions in composer.json due to early-stage maturity. No official Laravel wrapper is mentioned in the overview.
- Which Laravel and PHP versions are compatible with symfony/ai-cache-platform?
- The overview does not publish Laravel-specific version constraints; compatibility depends on symfony/ai and its Symfony cache dependencies. Test against your Laravel version and the PHP version required by symfony/ai rather than assuming broad coverage. Pin exact versions and run integration tests in CI before upgrading Laravel or PHP. Because the package is early-stage, verify support in your own application.
- Does symfony/ai-cache-platform work with Laravel cache drivers like Redis and Memcached?
- Yes, it is built on PSR-6 and Laravel's cache implements PSR-6, so it can use Laravel cache drivers including Redis, Memcached, file, and database. Redis is recommended for production because of performance and tag support. You may need to align Symfony cache pool configuration with Laravel's config/cache.php. No additional infrastructure is required beyond your existing cache backend.
- How do I configure TTL and cache pools for AI caching in Laravel?
- Configure TTL per cached AI operation based on data volatility, using shorter TTLs such as 5 to 30 minutes for dynamic content and longer TTLs for stable results. Align Symfony cache pool configuration with Laravel's config/cache.php and choose a driver like Redis for tag support. The package uses PSR-6, so define pools and pass them to the bridge through a service provider. There is no documented Laravel-specific config file in the overview, so explicit bindings may be needed.
- How do I test AI response caching in a Laravel application?
- Use Laravel's testing helpers to assert that repeated AI requests hit the cache instead of calling the LLM again, for example by mocking the AI client and counting invocations. Test cache hits, misses, TTL expiry, and invalidation paths with your chosen driver, ideally Redis in a CI service container. Benchmark with and without caching because cache misses add latency. Also test tenant key namespacing if your app is multi-tenant.
- How do I invalidate or clear cached AI responses in Laravel?
- The package relies on manual or tag-based invalidation and does not include built-in event-driven clearing for model updates or data changes according to the assessment. In Laravel, use cache tags where the driver supports them, or explicit key naming and Cache::forget calls. Implement event listeners or scheduled jobs to clear stale AI cache when underlying data or models change. Plan a key strategy up front so invalidation remains predictable.
- Is symfony/ai-cache-platform production-ready and what are the main risks?
- It is early-stage with minimal changelog and documentation, so treat it as stabilizing rather than mature. Main risks include version skew with symfony/ai, stale AI responses from long TTLs, DI container friction between Symfony and Laravel, and no built-in cache hit or miss metrics. Mitigate with exact version pins, short TTLs or tag-based invalidation, a custom Laravel service provider, and monitoring through Laravel Debugbar, Prometheus, or Datadog. Multi-tenant apps must namespace cache keys to prevent data leakage.
- How is symfony/ai-cache-platform maintained and where do I report issues?
- It is part of the Symfony AI component family, with contributions and issue tracking handled through the main Symfony AI repository on GitHub. Report issues and send pull requests at github.com/symfony/ai rather than the bridge repository. Maintenance follows Symfony AI's release cadence, so monitor that project's roadmap for breaking changes. Pin versions and review changelogs before upgrading.
- What alternatives to symfony/ai-cache-platform exist for Laravel AI caching?
- You can wrap AI calls directly with Laravel's native Cache facade or a custom PSR-6 repository if you do not need Symfony AI integration. Packages like spatie/laravel-responsecache cache HTTP responses but are not AI-specific. If you use symfony/ai, this bridge standardizes AI response caching; otherwise evaluate provider-specific caching or a small custom service. Choose based on your AI stack, cache driver, and invalidation needs.
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