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@arizeai/phoenix-evals

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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>; //# sourceMappingURL=createRefusalEvaluator.d.ts.map