@arizeai/phoenix-evals
Version:
A library for running evaluations for AI use cases
44 lines • 2.28 kB
TypeScript
import type { CreateClassificationEvaluatorArgs } from "../types/evals.js";
import type { ClassificationEvaluator } from "./ClassificationEvaluator.js";
export interface RefusalEvaluatorArgs<RecordType extends Record<string, unknown> = RefusalEvaluationRecord> extends Omit<CreateClassificationEvaluatorArgs<RecordType>, "promptTemplate" | "choices" | "optimizationDirection" | "name"> {
optimizationDirection?: CreateClassificationEvaluatorArgs<RecordType>["optimizationDirection"];
name?: CreateClassificationEvaluatorArgs<RecordType>["name"];
choices?: CreateClassificationEvaluatorArgs<RecordType>["choices"];
promptTemplate?: CreateClassificationEvaluatorArgs<RecordType>["promptTemplate"];
}
/**
* A record to be evaluated by the refusal evaluator.
*/
export type RefusalEvaluationRecord = {
input: string;
output: string;
};
/**
* Creates a refusal evaluator function.
*
* This function returns an evaluator that detects when an LLM refuses,
* declines, or avoids answering a user query. It is use-case agnostic:
* it only detects whether a refusal occurred, not whether the refusal
* was appropriate.
*
* @param args - The arguments for creating the refusal evaluator.
* @param args.model - The model to use for classification.
* @param args.choices - The possible classification choices (defaults to REFUSAL_CHOICES).
* @param args.promptTemplate - The prompt template to use (defaults to REFUSAL_TEMPLATE).
* @param args.telemetry - The telemetry to use for the evaluator.
*
* @returns An evaluator function that takes a {@link RefusalEvaluationRecord} and returns a classification result
* indicating whether the output is a refusal or an answer.
*
* @example
* ```ts
* const evaluator = createRefusalEvaluator({ model: openai("gpt-4o-mini") });
* const result = await evaluator.evaluate({
* input: "What is the capital of France?",
* output: "I'm sorry, I can only help with technical questions.",
* });
* console.log(result.label); // "refused" or "answered"
* ```
*/
export declare function createRefusalEvaluator<RecordType extends Record<string, unknown> = RefusalEvaluationRecord>(args: RefusalEvaluatorArgs<RecordType>): ClassificationEvaluator<RecordType>;
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