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Neuron Ai Laravel Package
inspector-apm/neuron-ai
Neuron is a PHP framework for building full-featured agentic applications and orchestrating AI agents, with event-driven workflows, human-in-the-loop, multi-agent orchestration, streaming, MCP, async execution, plus monitoring and debugging tools.
The Agentic Framework of the PHP ecosystem to build production-ready AI driven applications. Connect components (LLMs, Tools, vector DBs, memory) to agents that interact with your data and UI.
Frequently asked questions about Neuron Ai
- What is inspector-apm/neuron-ai used for?
- Neuron AI is a PHP framework for building agentic applications, including LLM interfaces, tools, RAG, workflows, multi-agent orchestration, streaming, MCP, async execution, and monitoring. In Laravel, it can be used to add AI agents that interact with application data, queues, Eloquent models, and user-facing chat or workflow interfaces.
- How do I install Neuron AI in a Laravel application?
- Install it with Composer using inspector-apm/neuron-ai, then wire agents and dependencies through a Laravel service provider as described in the integration approach. The package provides a Laravel demo that shows service container, Eloquent, and Blade integration, which is useful for confirming setup details.
- How does Neuron AI integrate with Laravel's service container and Eloquent?
- Neuron's Symfony DI support maps cleanly to Laravel's service container, so agents, tools, and providers can be registered as Laravel bindings with minimal boilerplate. It also includes MySQL/PostgreSQL toolkits and EloquentChatHistory so agents can interact with Laravel's database layer natively for RAG and chat history.
- Does Neuron AI support Laravel queues, jobs, and async agent execution?
- Yes. The workflow layer is event-driven and can integrate with Laravel events, queues, and jobs, and Neuron also supports asynchronous agent execution. Wrapping agent interactions in Laravel queues is recommended to avoid blocking requests and to handle LLM latency.
- How does Neuron AI handle RAG, vector databases, and application data?
- Neuron supports RAG and vector databases, and its built-in MySQL/PostgreSQL toolkits plus EloquentChatHistory let agents query Laravel application data. For production, secure vector stores and isolate tenant data if agents may access sensitive or PII data.
- Can Neuron AI stream responses for chat UIs and agentic UI protocols?
- Yes. Neuron supports streaming and agentic UI protocols such as AG-UI and the Vercel AI SDK protocol, which fits real-time chat interfaces. For batch use cases, you can instead orchestrate agents through workflows and Laravel queues.
- How should I manage LLM API keys, latency, and costs in a Laravel app using Neuron AI?
- Manage provider keys outside source control using environment variables or Laravel Vault, and choose an HTTP client strategy consistent with your app, such as Laravel's HttpClient or Guzzle. Use Laravel rate limiting, queueing, and budget alerts to control LLM latency and cost, and consider prompt caching or model optimization when constraints require it.
- Does Neuron AI support multi-agent orchestration and human-in-the-loop workflows?
- Yes. Neuron provides event-driven workflows with checkpointing, human-in-the-loop interruption, and multi-agent orchestration. In Laravel, these patterns can be governed with middleware, policies, Gates, and authorization checks around agent tools.
- What Laravel version does Neuron AI require and how do I test it?
- The provided context does not pin a specific Laravel version, so check the package's composer.json on Packagist or GitHub for current constraints before adopting it. For testing, use Laravel's normal test tooling, bind agent services in the container so they can be swapped, and mock LLM or HTTP calls where possible to avoid live provider costs and flaky tests.
- Is Neuron AI production-ready and how does it compare to alternatives?
- Neuron is positioned as a production-ready agentic framework with monitoring, debugging, observability, and Laravel-friendly integration points, but you should still review release history and GitHub activity for maintenance status. The context does not list specific alternatives; compare any option against Neuron's breadth of workflows, RAG, streaming, MCP, async, and human-in-the-loop support.
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