/**
 * Dojo Benchmark Tool
 *
 * MCP tool for running standardized performance benchmarks on Dojo experiments.
 * Specialized subclass of decibel_bench that discovers benchmarks from experiments.
 *
 * Experiments opt into benchmarking by exporting:
 * - Python: DOJO_BENCHMARKS dict or dojo_benchmark() function
 * - TypeScript: DOJO_BENCHMARKS object or dojoBenchmark() function
 *
 * Ref: WISH-0002 (Dojo Benchmark Tool)
 */
import { CallerRole } from './dojoPolicy.js';
import { BenchKind, BenchmarkReport } from '../lib/benchmark.js';
export interface DojoBenchInput {
    project_id: string;
    experiment_id: string;
    kind?: BenchKind;
    iterations?: number;
    warmup?: number;
    threshold_p99_ns?: number;
    save_baseline?: boolean;
    check_regression?: boolean;
    regression_tolerance?: number;
    output_format?: 'table' | 'json' | 'markdown';
    caller_role?: CallerRole;
    agent_id?: string;
}
export interface DojoBenchOutput {
    experiment_id: string;
    status: 'success' | 'no_benchmarks' | 'regression_detected' | 'error';
    report?: BenchmarkReport;
    formatted?: string;
    message?: string;
}
export interface DojoBenchError {
    error: string;
    exitCode: number;
    stderr: string;
}
/**
 * Run benchmarks on a Dojo experiment
 */
export declare function dojoBench(input: DojoBenchInput): Promise<DojoBenchOutput | DojoBenchError>;
/**
 * Type guard for DojoBenchError
 */
export declare function isDojoBenchError(result: unknown): result is DojoBenchError;
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