import type { LlmAgent } from '../agents/LlmAgent';
export declare enum EvalStatus {
    PASSED = 1,
    FAILED = 2,
    NOT_EVALUATED = 3
}
export interface EvalMetric {
    metricName: string;
    threshold: number;
}
export interface EvalMetricResult {
    score?: number;
    evalStatus: EvalStatus;
}
export interface EvalResult {
    evalSetFile: string;
    evalId: string;
    finalEvalStatus: EvalStatus;
    evalMetricResults: Array<[EvalMetric, EvalMetricResult]>;
    sessionId: string;
}
export declare const MISSING_EVAL_DEPENDENCIES_MESSAGE = "Eval module is not installed, please install via `npm install @google-cloud/aiplatform` or the appropriate package.";
export declare const TOOL_TRAJECTORY_SCORE_KEY = "tool_trajectory_avg_score";
export declare const RESPONSE_MATCH_SCORE_KEY = "response_match_score";
export declare const RESPONSE_EVALUATION_SCORE_KEY = "response_evaluation_score";
export declare const EVAL_SESSION_ID_PREFIX = "___eval___session___";
export declare const DEFAULT_CRITERIA: Record<string, number>;
export declare function getEvaluationCriteriaOrDefault(evalConfigFilePath?: string): Record<string, number>;
export declare function getRootAgent(agentModuleFilePath: string): LlmAgent;
export declare function tryGetResetFunc(agentModuleFilePath: string): any;
export declare function parseAndGetEvalsToRun(evalSetFilePaths: string[]): Record<string, string[]>;
export declare function runEvals({ evalSetToEvals, rootAgent, resetFunc, evalMetrics, sessionService, artifactService, printDetailedResults, }: {
    evalSetToEvals: Record<string, string[]>;
    rootAgent: LlmAgent;
    resetFunc?: any;
    evalMetrics: EvalMetric[];
    sessionService?: any;
    artifactService?: any;
    printDetailedResults?: boolean;
}): AsyncGenerator<EvalResult, void, unknown>;