ClarificationAgent

What problem does it solve?

It helps teams diagnose user questions before answering by systematically exposing logical gaps, implicit assumptions, and cognitive biases.

Core Features & Use Cases

• Structured question analysis: restates questions, identifies ambiguities, and surfaces hidden assumptions.
• Bias and assumption awareness: detects cognitive biases and unspoken premises to improve decision quality.
• Refined questioning: generates precise, answer-ready refined questions to guide subsequent interactions.
• Use Case: In product support or research, a vague user query is transformed into a clear diagnostic report that guides the final answer.

Quick Start

Use the ClarificationAgent to analyze a user question and return a structured report containing restated_question, ambiguities, hidden_assumptions, cognitive_biases, refined_question, and diagnosis_confidence.