/**
 * @fractary/faber - WorkManager
 *
 * Main entry point for work tracking operations.
 * Supports GitHub Issues, Jira, and Linear.
 */
import { WorkConfig, Issue, IssueCreateOptions, IssueUpdateOptions, IssueFilters, IssueUpsertResult, ClassifyResult, Comment, Label, Milestone, MilestoneCreateOptions, FaberContext } from '../common/types';
import { ListCommentsOptions } from './types';
/**
 * WorkManager - Unified work tracking across platforms
 *
 * @example
 * ```typescript
 * const work = new WorkManager();
 * const issue = await work.fetchIssue(123);
 * await work.createComment(123, 'Implementation complete');
 * ```
 */
export declare class WorkManager {
    private provider;
    private config;
    constructor(config?: WorkConfig);
    /**
     * Load work configuration from project
     *
     * Transforms the YAML handler-based config format into the flat WorkConfig
     * that the rest of the class expects.
     */
    private loadConfig;
    /**
     * Create the appropriate provider based on config
     */
    private createProvider;
    /**
     * Get the current platform
     */
    getPlatform(): string;
    /**
     * Create a new issue
     */
    createIssue(options: IssueCreateOptions): Promise<Issue>;
    /**
     * Find an existing matching issue and comment on it, or create a new one.
     *
     * When `updateExisting` is false (or not set), behaves identically to `createIssue`.
     * When `updateExisting` is true, searches for an open issue matching the title and labels,
     * then adds the body as a comment instead of creating a duplicate.
     */
    findOrCreateIssue(options: IssueCreateOptions): Promise<IssueUpsertResult>;
    /**
     * Fetch an issue by ID
     */
    fetchIssue(issueId: string | number): Promise<Issue>;
    /**
     * Update an existing issue
     */
    updateIssue(issueId: string | number, options: IssueUpdateOptions): Promise<Issue>;
    /**
     * Close an issue
     */
    closeIssue(issueId: string | number): Promise<Issue>;
    /**
     * Reopen a closed issue
     */
    reopenIssue(issueId: string | number): Promise<Issue>;
    /**
     * Search for issues
     */
    searchIssues(query: string, filters?: IssueFilters): Promise<Issue[]>;
    /**
     * Assign an issue to a user
     */
    assignIssue(issueId: string | number, assignee: string): Promise<Issue>;
    /**
     * Unassign an issue
     */
    unassignIssue(issueId: string | number): Promise<Issue>;
    /**
     * Create a comment on an issue
     */
    createComment(issueId: string | number, body: string, faberContext?: FaberContext, repo?: string): Promise<Comment>;
    /**
     * List comments on an issue
     */
    listComments(issueId: string | number, options?: ListCommentsOptions): Promise<Comment[]>;
    /**
     * Add labels to an issue
     */
    addLabels(issueId: string | number, labels: string[]): Promise<Label[]>;
    /**
     * Remove labels from an issue
     */
    removeLabels(issueId: string | number, labels: string[]): Promise<void>;
    /**
     * Set labels on an issue (replaces existing)
     */
    setLabels(issueId: string | number, labels: string[]): Promise<Label[]>;
    /**
     * List all labels (or labels on an issue)
     */
    listLabels(issueId?: string | number): Promise<Label[]>;
    /**
     * Create a new milestone
     */
    createMilestone(options: MilestoneCreateOptions): Promise<Milestone>;
    /**
     * Set milestone on an issue
     */
    setMilestone(issueId: string | number, milestone: string): Promise<Issue>;
    /**
     * Remove milestone from an issue
     */
    removeMilestone(issueId: string | number): Promise<Issue>;
    /**
     * List all milestones
     */
    listMilestones(state?: 'open' | 'closed' | 'all'): Promise<Milestone[]>;
    /**
     * Label-based scoring configuration for classification
     */
    private static readonly LABEL_SCORES;
    /**
     * Keyword groups for title-based classification
     */
    private static readonly KEYWORDS;
    /**
     * Classify the type of work based on issue metadata with confidence scoring
     *
     * Uses a multi-signal approach:
     * 1. Labels (highest priority) - direct mapping with high confidence
     * 2. Title keywords - pattern matching with moderate confidence
     *
     * @param issue - The issue to classify
     * @returns Classification result with work type, confidence score, and signals
     */
    classifyWorkType(issue: Issue): ClassifyResult;
}
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