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crewai-ts

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TypeScript port of crewAI for agent-based workflows

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export interface TaskOutput { taskId: string; expectedOutput: string; actualOutput?: string; metadata?: Record<string, any>; timestamp?: number; agentId?: string; } /** * Storage for crew kickoff task outputs * Uses optimized file I/O and memory-efficient data structures */ export declare class KickoffTaskOutputsStorage { private dbPath; private cache; private cacheSize; /** * Initialize storage with optional custom path * @param dbPath Optional custom database path */ constructor(dbPath?: string); /** * Ensure storage directory exists * Uses efficient async I/O patterns */ private ensureStorageExists; /** * Save a task output * @param task Task output to save * @returns Saved task with ID */ save(task: Omit<TaskOutput, 'taskId'> & { taskId?: string; }): Promise<TaskOutput>; /** * Load all task outputs * Uses memory-efficient streaming for large datasets * @returns Array of task outputs */ loadAll(): Promise<TaskOutput[]>; /** * Get a task by ID * Uses memory-efficient caching for frequently accessed tasks * @param taskId Task ID * @returns Task output or null if not found */ getTaskById(taskId: string): Promise<TaskOutput | null>; /** * Clear all task outputs * Uses optimized file I/O */ clear(): Promise<void>; /** * Delete a task by ID * @param taskId Task ID to delete * @returns True if deleted, false if not found */ deleteTask(taskId: string): Promise<boolean>; /** * Update cache with LRU eviction policy * Ensures memory efficiency for long-running processes * @param task Task to update in cache */ private updateCache; } //# sourceMappingURL=KickoffTaskOutputsStorage.d.ts.map