AIStoryBoard/node_modules/openai/resources/evals/evals.mjs

// File generated from our OpenAPI spec by Stainless. See CONTRIBUTING.md for details.
import { APIResource } from "../../core/resource.mjs";
import * as RunsAPI from "./runs/runs.mjs";
import { Runs, } from "./runs/runs.mjs";
import { CursorPage } from "../../core/pagination.mjs";
import { path } from "../../internal/utils/path.mjs";
export class Evals extends APIResource {
    constructor() {
        super(...arguments);
        this.runs = new RunsAPI.Runs(this._client);
    }
    /**
     * Create the structure of an evaluation that can be used to test a model's
     * performance. An evaluation is a set of testing criteria and the config for a
     * data source, which dictates the schema of the data used in the evaluation. After
     * creating an evaluation, you can run it on different models and model parameters.
     * We support several types of graders and datasources. For more information, see
     * the [Evals guide](https://platform.openai.com/docs/guides/evals).
     */
    create(body, options) {
        return this._client.post('/evals', { body, ...options });
    }
    /**
     * Get an evaluation by ID.
     */
    retrieve(evalID, options) {
        return this._client.get(path `/evals/${evalID}`, options);
    }
    /**
     * Update certain properties of an evaluation.
     */
    update(evalID, body, options) {
        return this._client.post(path `/evals/${evalID}`, { body, ...options });
    }
    /**
     * List evaluations for a project.
     */
    list(query = {}, options) {
        return this._client.getAPIList('/evals', (CursorPage), { query, ...options });
    }
    /**
     * Delete an evaluation.
     */
    delete(evalID, options) {
        return this._client.delete(path `/evals/${evalID}`, options);
    }
}
Evals.Runs = Runs;
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