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feat(workflows): allow resume to accept updated workflow inputs (#2815)
`workflow resume` now accepts `--input key=value` (the same flag and parsing as `workflow run`, via a shared `_parse_input_values` helper). Supplied values are merged over the run's persisted inputs and re-resolved through the existing typed-validation path (`_resolve_inputs`), so a resumed/re-run step sees the updated inputs and ill-typed values fail fast. Keys not supplied keep their persisted values; resuming without `--input` is unchanged. Reference docs updated. Distinct from #2405 (file-reference inputs at run time): this is about supplying inputs at resume time, reusing the existing input model. Closes #2812. Co-authored-by: Claude Opus 4.8 (1M context) <noreply@anthropic.com>
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@@ -507,8 +507,19 @@ class WorkflowEngine:
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state.save()
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return state
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def resume(self, run_id: str) -> RunState:
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"""Resume a paused or failed workflow run."""
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def resume(
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self,
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run_id: str,
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inputs: dict[str, Any] | None = None,
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) -> RunState:
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"""Resume a paused or failed workflow run.
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When ``inputs`` is provided, the values are merged over the run's
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persisted inputs and re-resolved through the same typed validation
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path used by :meth:`execute`, so the resumed step sees updated
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workflow inputs. Keys not supplied keep their persisted values; an
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empty/``None`` ``inputs`` leaves the run's inputs unchanged.
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"""
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state = RunState.load(run_id, self.project_root)
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if state.status not in (RunStatus.PAUSED, RunStatus.FAILED):
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msg = f"Cannot resume run {run_id!r} with status {state.status.value!r}."
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@@ -524,6 +535,12 @@ class WorkflowEngine:
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else:
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definition = self.load_workflow(state.workflow_id)
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# Merge any newly-supplied inputs over the persisted ones and
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# re-validate through the same typing path as the initial run.
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if inputs:
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merged = {**state.inputs, **inputs}
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state.inputs = self._resolve_inputs(definition, merged)
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# Restore context
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context = StepContext(
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inputs=state.inputs,
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