@agentled/cli/dist/commands/dryrun.d.ts

CLI for Agentled — manage workflows, apps, and knowledge from the command line. Zero context-window cost for AI agents.

/**
 * `agentled dryrun <file>` — zero-credit variable-resolution walk over a pipeline.
 *
 * Walks the step graph from the trigger, synthesizes mock outputs for each step
 * (from responseStructure / app output schemas / fixture data), substitutes
 * template variables, and reports:
 *
 *   - Unresolved `{{steps.X.field}}` / `{{input.Y}}` / `{{currentItem.Z}}` refs
 *   - Always-skip / always-stop branches based on entryConditions
 *   - Credit estimate (sum of step.creditCost or per-action defaults)
 *
 * Inputs (in priority order, latest wins):
 *   1. Synthetic defaults from context.executionInputConfig.fields
 *   2. --input '<json>' or --input-file <path>
 *   3. --mocks <path> — full {stepId: output} object overriding any synthetic
 *   4. --from-execution <execId> — load each step's output from
 *      fixtures/step-outputs/<execId>/<stepId>.json (most realistic)
 *
 * Exit codes: 0 clean, 1 warnings (always-skip branches, no terminal step),
 * 2 unresolved refs.
 */
import { Command } from 'commander';
export declare function registerDryRunCommand(program: Command): void;