@juspay/neurolink/dist/tasks/autoresearchTaskExecutor.d.ts

The pipe layer of an AI nervous system: one interface connecting provider neurons to your application, across three inference types — generate, stream and decide. `decide` returns typed, calibrated judgements from a non-generative model (~400ms, ~$0.00002

/**
 * Autoresearch task executor — bridges TaskManager with the
 * autoresearch experiment loop.
 *
 * Each tick:
 * 1. Loads/creates a ResearchWorker for the task's tag
 * 2. Gets the phase-appropriate tool filter
 * 3. Calls NeuroLink.generate() with research tools + prompt
 * 4. Advances phase based on which tools the AI called
 * 5. Returns a TaskRunResult
 *
 * Workers are cached by tag to avoid re-initialization on each tick.
 * Forwards the NeuroLink emitter to each worker for lifecycle events.
 */
import type { AutoresearchEmitter, NeuroLinkExecutable, Task, TaskRunResult } from "../types/index.js";
/**
 * Clear all cached workers. Called by TaskManager.shutdown().
 */
export declare function clearWorkerCache(): void;
/**
 * Execute one autoresearch tick for a task.
 *
 * Returns a TaskRunResult-shaped object.
 * If the task is missing autoresearch config, returns an error result
 * instead of throwing (so the scheduler can record the failure).
 *
 * @param emitter - Optional emitter to forward autoresearch lifecycle events
 */
export declare function executeAutoresearchTick(task: Task & {
    autoresearch?: unknown;
}, neurolink: NeuroLinkExecutable, emitter?: AutoresearchEmitter): Promise<TaskRunResult>;