Neuron is an open source framework for integrating AI agents into your existing PHP applications - backed by Inspector.dev.
The Agent entity is designed to be extended to create your agents as standalone components in your application.
This ensure the portability of your agent because all the moving parts are encapsulated into a single entity that you can run wherever you want in your application.
You can even create agents with specific skills and tools, and release them as public packages that other developers can integrate in their Agentic systems.
Tools enable LLMs to go beyond generating text by facilitating interaction with your applications services, or external APIs.
Think of Tools as special functions that your AI agent can use when it needs to perform specific tasks. They let you extend your Agent's capabilities by giving it access to specific functions it can call.
Retrieval-Augmented Generation (RAG) is the process of providing references to a knowledge base outside of the LLM training data sources.
Building a RAG system is the way to use the powerful LLM capabilities on your own private data. You can create applications capable to accurately answer questions about a company internal documentations. Or chatbot to serve external customers on the internal rules of an organization.
Many of the Agents you build with Neuron will contain multiple steps with multiple invocations of LLM calls. As these applications get more and more complex, it becomes crucial to be able to inspect what exactly is going on inside your agents.
The Inspector team designed Neuron with built-in observability features, so you can monitor AI agents were running, allowing you to get meaningful insights from inside of your agents to help you move from prototype to production with confidence.
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