Weave Code
Neuron Ai Laravel Package
neuron-core/neuron-ai
Neuron is a PHP framework for building agentic apps: create and orchestrate AI agents, integrate LLM providers, load data, run multi-agent workflows, and monitor/debug behavior. Works well with Laravel and Symfony.
The Agentic Framework of the PHP ecosystem to build production-ready AI driven applications. Connect components (LLMs, Tools, vector DBs, memory) to agents that can interact with your data.
Frequently asked questions about Neuron Ai
- Can I use Neuron AI with Laravel 10+ for a simple chatbot without complex workflows?
- Yes, Neuron AI works with Laravel 10+ and supports simple chatbots out of the box. Start with the `Agent` component for basic LLM interactions, then expand to `Workflow` or `RAG` as your needs grow. The Laravel demo project (laravel-travel-agent) provides a practical starting point for chatbot integration.
- How do I integrate Neuron AI with Laravel’s service container for dependency injection?
- Neuron AI is designed to work seamlessly with Laravel’s service container. Bind your agents or tools using Laravel’s `bind()` method in a service provider, e.g., `bind(AgentInterface::class, YourCustomAgent::class)`. This follows Laravel’s conventions and ensures Neuron components are resolved via the container.
- Does Neuron AI support asynchronous agent workflows in Laravel, and how?
- Yes, Neuron AI supports asynchronous workflows by integrating with Laravel’s queue system. Dispatch long-running agent tasks as jobs (e.g., `dispatch(new AgentJob($agent, $input))`), and process them in the background. The `Workflow` component handles orchestration, while Laravel queues manage execution.
- What Laravel versions does Neuron AI officially support, and are there workarounds for older versions?
- Neuron AI requires PHP 8.1+ and is optimized for Laravel 9+. For older Laravel versions (pre-8.1), consider running Neuron in a separate microservice or containerized instance. The package’s abstractions (e.g., `AIProviderInterface`) minimize version-specific dependencies, but some features may require adjustments.
- How do I connect Neuron AI to a vector database like Weaviate or Pinecone for RAG?
- Neuron AI supports RAG (Retrieval-Augmented Generation) via its `RAG` component, which integrates with vector databases. Use the `VectorDBToolkit` to connect to Weaviate, Pinecone, or others by implementing the `VectorDBInterface`. The package provides adapters for common providers, and you can extend it for custom setups.
- Are there performance or cost concerns with Neuron AI in production, and how can I mitigate them?
- Neuron AI introduces minimal overhead for basic agents, but complex workflows or frequent LLM calls can increase costs. Mitigate this by caching prompts (e.g., using Anthropic’s caching), batching requests, or leveraging local models (e.g., Ollama). Monitor agent behavior with Neuron’s `Inspector` tool, but use it sparingly in production to avoid latency.
- Can I use Neuron AI with Laravel Livewire or Inertia.js for real-time AI interactions?
- Yes, Neuron AI supports real-time interactions via streaming adapters like `VercelAIAdapter`. For Laravel Livewire or Inertia.js, use these adapters to stream AI responses directly to the frontend. The package’s modular design allows you to integrate with any frontend framework while keeping the backend logic in PHP.
- What alternatives to Neuron AI exist for Laravel, and when should I consider them?
- Alternatives include standalone LLM libraries like `php-ai/php-ai` or Laravel-specific packages like `spatie/laravel-ai`. Use these if you need lightweight LLM integration without agentic workflows. Neuron AI is ideal for complex, multi-agent systems requiring orchestration, tool integration, or RAG—choose it when your use case goes beyond simple prompts.
- How do I debug or monitor agent behavior in Neuron AI, especially in production?
- Neuron AI includes an `Inspector` tool for debugging and monitoring agent interactions. Enable it in development to log prompts, responses, and tool calls. In production, use Laravel’s logging system alongside Neuron’s events to track agent behavior without excessive overhead. Avoid enabling `Inspector` for all agents to minimize performance impact.
- Does Neuron AI support multi-agent collaboration, and how do I implement it in Laravel?
- Yes, Neuron AI’s `Workflow` component enables multi-agent collaboration by defining agent roles, interactions, and orchestration logic. In Laravel, register agents as services, then compose workflows in a `WorkflowBuilder`. Use Laravel’s queues to handle async communication between agents, ensuring scalability and reliability.
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