- How do I integrate Neuron AI into an existing Laravel application?
- Neuron AI integrates via Laravel’s service container. Register agents, tools, and providers in a service provider (e.g., `NeuronServiceProvider`), then inject dependencies using Laravel’s DI. The package includes a Laravel demo to guide setup, covering Eloquent models, Blade templates, and queue integration for async workflows.
- Does Neuron AI support Laravel’s queue system for handling LLM latency?
- Yes, Neuron AI is designed to work with Laravel Queues. Wrap agent interactions in jobs to avoid timeouts from LLM API calls, especially for long-running tasks. This ensures scalability and prevents blocking requests in production.
- Can I use Neuron AI with Laravel’s Eloquent ORM for RAG (Retrieval-Augmented Generation)?
- Absolutely. Neuron AI includes EloquentChatHistory for persisting agent conversations and integrates natively with Laravel’s database layer. This makes it ideal for RAG use cases where agents query or augment data from your application’s tables.
- What Laravel versions does Neuron AI support?
- Neuron AI is compatible with Laravel 9.x and 10.x. The package leverages PHP 8.1+ features and follows Laravel’s dependency injection patterns, ensuring smooth integration with modern Laravel applications.
- How do I secure agent access to sensitive data in Laravel?
- Use Laravel’s built-in authorization (Gates, Policies) to restrict agent tools accessing PII or confidential data. Neuron AI’s toolkits can be wrapped in middleware or policies to enforce permissions, aligning with Laravel’s security best practices.
- Can Neuron AI handle multi-agent workflows in Laravel?
- Yes, Neuron AI’s Workflow layer supports orchestrating multiple agents with event-driven coordination. This maps well to Laravel’s events and queues, allowing you to chain agents (e.g., a data analyst followed by a report generator) in a scalable, asynchronous manner.
- How do I monitor and debug AI agent runs in Laravel?
- Neuron AI’s Observability system integrates with Laravel’s logging (Monolog) and monitoring tools like Sentry or Inspector APM. Agent logs, errors, and performance metrics can be tracked in real-time, with support for Laravel Horizon for queue-based workflows.
- What LLM providers does Neuron AI support out of the box?
- Neuron AI supports OpenAI, Anthropic, and other LLM providers via its provider abstraction layer. You can easily swap providers by configuring the `LLMProvider` class in Laravel’s config or service container, with keys managed via `.env` or Laravel Vault.
- Is Neuron AI suitable for real-time chat applications in Laravel?
- Yes, Neuron AI supports real-time streaming via its agentic UI protocols. For Laravel, pair it with Laravel Echo or WebSockets (e.g., Pusher) to push agent responses dynamically to chat interfaces, ensuring low-latency interactions.
- Are there alternatives to Neuron AI for Laravel AI agents?
- Alternatives include custom solutions with LangChain PHP or Python-based frameworks (e.g., CrewAI) via API wrappers, but Neuron AI stands out for its native PHP architecture, Laravel integration, and end-to-end workflow support. It avoids vendor lock-in while providing a unified toolkit for complex agentic apps.