Agent

Overview

Agents communicate with an LLM with a given clear role and purpose, and equipped with specific tools to interact with the platform. Agents also understand context and have access to your RAG knowledge bases.

Agents are added to a team where they are executed in a given order and handle inputs and outputs passed between agents in a team.

System and custom agents

There are two types of AI Agent:

• System Agent: Pre-built on the Platform for easy invocation
• Custom Agent: You can create your own custom agent