import { APIResource } from "../resource.js";
import * as Core from "../core.js";
export declare class LMUnit extends APIResource {
    /**
     * Given a `query`, `response`, and a `unit_test`, return the response's `score` on
     * the unit test on a 5-point continuous scale. The total input cannot exceed 7000
     * tokens.
     *
     * See a code example in [our blog post](https://contextual.ai/news/lmunit/). Email
     * [lmunit-feedback@contextual.ai](mailto:lmunit-feedback@contextual.ai) with any
     * feedback or questions.
     *
     * > 🚀 Obtain an LMUnit API key by completing
     * > [this form](https://contextual.ai/request-lmunit-api/)
     */
    create(body: LMUnitCreateParams, options?: Core.RequestOptions): Core.APIPromise<LMUnitCreateResponse>;
}
/**
 * LMUnit result object.
 */
export interface LMUnitCreateResponse {
    /**
     * The response is scored on a continuous scale from 1 to 5 on the unit test. The
     * discrete scores 1, 2, 3, 4, and 5 roughly correspond to "Strongly fails,"
     * "Fails," "Neutral," "Passes," and "Strongly passes," respectively.
     */
    score: number;
}
export interface LMUnitCreateParams {
    /**
     * The prompt to which the model responds
     */
    query: string;
    /**
     * The model response to evaluate
     */
    response: string;
    /**
     * A natural language statement or question against which to evaluate the response
     */
    unit_test: string;
}
export declare namespace LMUnit {
    export { type LMUnitCreateResponse as LMUnitCreateResponse, type LMUnitCreateParams as LMUnitCreateParams };
}
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