/**
 * Agentic AI execution for implementation comparisons.
 *
 * Uses {@link AIService} to run an AI CLI in agentic mode (with write tools)
 * inside a worktree, capturing the implementation output with full telemetry,
 * tracing, and retry support.
 *
 * @module
 */
import type { AIService } from '../ai/service.js';
import type { ImplementationRunResult } from './types.js';
/**
 * Options for executing an implementation run.
 */
export interface ExecuteOptions {
    /** The task description */
    task: string;
    /** Plan text from the previous `are plan` run (omit for plan-less runs) */
    planText?: string;
    /** Working directory (worktree path) */
    cwd: string;
    /** Git ref (SHA) of the branch fork point — used to measure cumulative changes across all sessions */
    baseRef?: string;
    /** Model to use */
    model?: string;
    /** Debug mode */
    debug?: boolean;
    /** Run test suite after implementation */
    runTests?: boolean;
    /** Run build after implementation */
    runBuild?: boolean;
    /** Run linter after implementation */
    runLint?: boolean;
    /** AI service instance for subprocess management */
    aiService: AIService;
}
/**
 * Execute an AI implementation run in a worktree using the AI service in agentic mode.
 *
 * Invokes the AI with write tools enabled (Read, Glob, Grep, Bash, Write, Edit)
 * so it can create and modify files, run commands, and implement the plan.
 * All calls go through {@link AIService} for retry logic, telemetry, and
 * subprocess logging.
 *
 * @param options - Execution options
 * @returns Implementation run result with metrics and token usage
 */
export declare function executeImplementation(options: ExecuteOptions): Promise<ImplementationRunResult>;
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