Download the PHP package inspector-apm/neuron-ai without Composer

Install

Install the latest version of the package:

Create an Agent

Talk to the Agent

Send a prompt to the agent to get a response from the underlying LLM:

Supported LLM Providers

With Neuron you can switch between LLM providers with just one line of code, without any impact on your agent implementation. Supported providers:

Tools & Function Calls

You can add the ability to perform concrete tasks to your Agent with an array of Tool:

MCP server connector

Instead of implementing tools manually, you can connect tools exposed by an MCP server with the McpConnector component:

Implement RAG systems

For RAG use case, you must extend the NeuronAI\RAG\RAG class instead of the default Agent class.

To create a RAG you need to attach some additional components other than the AI provider, such as a vector store, and an embeddings provider.

Here is an example of a RAG implementation:

Structured Output

For many applications, such as chatbots, Agents need to respond to users directly in natural language. However, there are scenarios where we need Agents to understand natural language, but output in a structured format.

One common use-case is extracting data from text to insert into a database or use with some other downstream system. This guide covers a few strategies for getting structured outputs from the agent.

Official documentation