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fix(workflows): guard non-mapping 'inputs:' block in engine._resolve_inputs (#3696)
execute()/resume() run UNVALIDATED definitions (load_workflow does not
validate). WorkflowDefinition stores `inputs` raw, so a non-mapping
`inputs:` block (bare `inputs:` -> None, or `inputs: []`) crashed
_resolve_inputs at `for name, input_def in definition.inputs.items()` with
AttributeError, aborting the whole run.
Return {} when inputs is not a mapping, mirroring validate_workflow's own
`isinstance(definition.inputs, dict)` check. Protects both call sites
(execute and resume); normal dict resolution is unchanged.
🤖 Generated with [Claude Code](https://claude.com/claude-code)
Co-authored-by: Claude Opus 4.8 (1M context) <noreply@anthropic.com>
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@@ -1400,6 +1400,14 @@ class WorkflowEngine:
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) -> dict[str, Any]:
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"""Resolve workflow inputs against definitions and provided values."""
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resolved: dict[str, Any] = {}
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# execute()/resume() accept UNVALIDATED definitions (load_workflow does
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# not validate). A non-mapping ``inputs:`` block (bare ``inputs:`` ->
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# None, or ``inputs: []``) is stored raw, so iterating ``.items()`` here
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# would crash the run with AttributeError. Treat a non-mapping inputs
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# block as "no inputs"; validate_workflow reports the malformed shape
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# via its own isinstance check.
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if not isinstance(definition.inputs, dict):
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return {}
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for name, input_def in definition.inputs.items():
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if not isinstance(input_def, dict):
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continue
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