import { AiLegacyCore } from '../ai-legacy/ai-legacy-core.js';
import { logger } from '../../../shared/common/logger.js';
type CommitGenInit = {
    mode?: string;
    oneline?: boolean;
    targetBranch?: string;
    task?: string | number;
    timeout?: number;
    [key: string]: unknown;
};
/**
 * @purpose Generate commit message from staged diff via LLM.
 * @invariant Uses AiLegacyCore and getGitDiffInfo; returns undefined if diff is empty.
 * @consumer CLI (cmd/commit)
 */
export declare class CommitGen {
    /** @purpose Configuration with defaults for mode, prompts, timeout. */
    protected init: CommitGenInit & {
        mode: string;
        oneline: boolean;
        targetBranch?: string;
        task?: string | number;
        logger: typeof logger;
        promptCommitMessage: string;
        promptCommitChangeset: string;
        timeout: number;
    };
    /** @purpose AI core instance for LLM requests. */
    protected ai: AiLegacyCore;
    /**
     * @purpose Initialize CommitGen with configuration and AI core.
     * @param [init] Configuration overrides (mode, oneline, targetBranch, task, timeout).
     */
    constructor(init?: CommitGenInit);
    /**
     * @purpose Get the logger instance used during generation.
     * @returns Logger instance.
     */
    get logger(): typeof logger;
    /**
     * @purpose Commit output mode: auto | oneline | detailed.
     * @returns Mode string.
     */
    get mode(): string;
    /**
     * @purpose Active AI model name (from the first available rc).
     * @returns Model name string or undefined.
     */
    get model(): string | undefined;
    /**
     * @purpose Active model API URL.
     * @returns API URL string or undefined.
     */
    get apiUrl(): string | undefined;
    /**
     * @purpose Branch against which the diff is built (if specified).
     * @returns Target branch name or undefined.
     */
    get targetBranch(): string | undefined;
    /**
     * @purpose Task identifier for substitution in subject (optional).
     * @returns Task ID string or number, or undefined.
     */
    get task(): string | number | undefined;
    /**
     * @purpose Call LLM with a single prompt without think blocks (for tests or custom input).
     * @param input Prompt text.
     * @returns Model response as string.
     * @sideEffect Network: request to AI API.
     */
    fetchPrompt(input: string): Promise<string>;
    /**
     * @purpose Generate commit message from staged diff (batches → changeset → message).
     * @returns Message string (oneline or with description) or undefined on empty diff/error.
     * @sideEffect Network: requests to AI; Logs: info/warn/debug.
     */
    generate(): Promise<string | undefined>;
}
export {};