export type AiAgentId = 'claude' | 'codex' | 'gemini';
export interface AiAgent {
    id: AiAgentId;
    name: string;
    command: string;
}
export declare const AI_AGENTS: readonly AiAgent[];
export interface AgentRunner {
    isAvailable: (command: string) => boolean;
    spawn: (command: string, args: string[], cwd: string) => number;
}
/**
 * Detects which AI agent CLIs are available on PATH.
 */
export declare function detectAvailableAgents(runner?: AgentRunner): Set<AiAgentId>;
/**
 * Builds the prompt text handed to the AI agent. The prompt describes the
 * archguard.yml schema and instructs the agent to analyze the project and
 * write the file itself.
 *
 * The prompt template lives in messages/archguard.init-ai-prompt.md and uses
 * {{PROJECT_ROOT}} as a placeholder for the resolved project path.
 */
export declare function buildAiPrompt(projectRoot: string): string;
export interface WriteAiPromptResult {
    promptPath: string;
    cleanup: () => void;
}
/**
 * Writes the AI prompt to a temp file inside the project so the agent can
 * read it. Returns a cleanup function that removes the file.
 */
export declare function writeAiPromptFile(projectRoot: string, prompt: string): WriteAiPromptResult;
/**
 * Spawns the chosen AI agent CLI in interactive mode with a short instruction
 * pointing it at the prompt file. stdio is inherited so the user sees the
 * agent's progress in their terminal.
 */
export declare function runAiAgent(agent: AiAgent, promptPath: string, projectRoot: string, runner?: AgentRunner): number;
export interface AiInitLogger {
    log: (msg: string) => void;
    error: (msg: string) => void;
}
export interface AiInitOptions {
    projectRoot: string;
    agent: AiAgent;
    runner?: AgentRunner;
}
/**
 * Orchestrates the AI-assisted init flow: writes the prompt file, spawns the
 * agent, and verifies that archguard.yml was produced.
 */
export declare function executeAiInit(options: AiInitOptions, logger: AiInitLogger): void;
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