Intent Classifier

Overview

This agent is designed to act as a sophisticated query router. Its primary function is to analyze an incoming user question and classify the type of information retrieval or reasoning required to answer it. Instead of providing an answer directly, it outputs a structured JSON object detailing the necessary intent.

Understanding the underlying intent (e.g., simple fact lookup vs. complex trend analysis) is crucial for building robust multi-step AI workflows and ensuring that the correct specialized tool is invoked.

Capabilities

• Intent Categorization: Classifies questions into six distinct intents: simple_recall, mathematical_computation, temporal_comparison, multi_source_synthesis, contradiction_resolution, and incremental_update.
• Structured Output Generation: Returns a predictable JSON format including the determined intent, boolean flags for mathematical or temporal needs, and a brief reasoning explanation.
• Contextual Analysis: Accurately identifies subtle cues, such as keywords like "latest" or "trajectory," to determine if an update or trend analysis is needed.

Example Use Cases

• Workflow Orchestration: Before querying a database, use this agent to confirm if the query requires simple lookups (direct API call) or complex synthesis (multi-step reasoning).
• Tool Selection: If the intent is mathematical_computation, route the request immediately to a dedicated calculator tool. If it's incremental_update, prioritize accessing real-time data sources.
• Pre-processing Input: Use this agent as a mandatory first step in any complex chatbot pipeline to validate and structure user input before expensive LLM calls are made.