@dooor-ai/toolkit/dist/evals/answer-relevancy.d.ts

Guards, Evals & Observability for AI applications - works seamlessly with LangChain/LangGraph

import { Eval } from "./base";
import { EvalResult } from "../core/types";
/**
 * AnswerRelevancyEval - Measures if the LLM's answer is relevant to the question
 *
 * Uses LLM-as-judge to score relevancy on a 0-1 scale.
 *
 * Example:
 * ```typescript
 * const eval = new AnswerRelevancyEval({ threshold: 0.7 });
 * const result = await eval.evaluate(
 *   "What is the capital of France?",
 *   "The capital of France is Paris."
 * );
 * // result.score = 0.95, result.passed = true
 * ```
 */
export declare class AnswerRelevancyEval extends Eval {
    get name(): string;
    evaluate(input: string, output: string, metadata?: Record<string, any>): Promise<EvalResult>;
    private buildPrompt;
    private parseScore;
}
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