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Documenting the AI Triage Logic

Introduction

This document provides a comprehensive guide to the AI triage logic implemented in lib/ai-triage/triage-logic.ts. The AI triage system is responsible for analyzing incoming user messages and determining the appropriate response type. This document outlines the different response types, the criteria used to select them, how the system handles fallback scenarios, and how developers can customize the triage behavior. This is crucial for developers who want to customize or extend the agent's behavior.

Response Types

The AI triage system can select from a variety of response types, each designed to handle different user needs. The specific response types available depend on the application's configuration, but common examples include:

• Knowledge Base Retrieval: The system searches a knowledge base for relevant information and provides it to the user.
• Intent Recognition & Task Execution: The system identifies the us