import type { ICoordinatorContext, PlanStep } from '@mcp-abap-adt/llm-agent';
/**
 * Deterministically compose the executor `task` from the planner's structured
 * intent. The planner decides (goal, plan objective, needsInput); this helper
 * assembles the final string with no LLM involvement, so client material is
 * inserted verbatim and losslessly.
 *
 * - `step.inputTemplate` (advanced override) wins and is resolved as-is.
 * - No-regression path: when there is no objective and no needsInput (and no
 *   template), the task reduces to the bare `step.goal` — unchanged behavior.
 * - Otherwise: "Task: <goal>", then "Overall objective: <objective>" when the
 *   plan carries one, then the client request as delimited data when
 *   `step.needsInput` is true.
 */
export declare function composeTask(step: PlanStep, ctx: ICoordinatorContext): string;
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