@arizeai/phoenix-evals/dist/src/llm/LLMEvaluator.js

A library for running evaluations for AI use cases

"use strict";
var __rest = (this && this.__rest) || function (s, e) {
    var t = {};
    for (var p in s) if (Object.prototype.hasOwnProperty.call(s, p) && e.indexOf(p) < 0)
        t[p] = s[p];
    if (s != null && typeof Object.getOwnPropertySymbols === "function")
        for (var i = 0, p = Object.getOwnPropertySymbols(s); i < p.length; i++) {
            if (e.indexOf(p[i]) < 0 && Object.prototype.propertyIsEnumerable.call(s, p[i]))
                t[p[i]] = s[p[i]];
        }
    return t;
};
Object.defineProperty(exports, "__esModule", { value: true });
exports.LLMEvaluator = void 0;
const EvaluatorBase_1 = require("../core/EvaluatorBase");
/**
 * Base class for llm evaluation metrics / scores
 */
class LLMEvaluator extends EvaluatorBase_1.EvaluatorBase {
    constructor(_a) {
        var args = __rest(_a, []);
        super(Object.assign({ kind: "LLM" }, args));
    }
}
exports.LLMEvaluator = LLMEvaluator;
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