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`PromptStep.execute` str()-coerces `config['prompt']` and dispatches the
result to the integration CLI as the model's instructions. But its `validate`
only checked that `prompt` was *present*, not that it was a string — the exact
parity gap the sibling `ShellStep` closes for `run`.
So a YAML authoring slip like `prompt: [review, this]` or `prompt:` (null)
passed validation, then `execute` sent the Python repr (`"['review', 'this']"`,
`"None"`) to the LLM verbatim — silently wrong instructions with no error and a
COMPLETED status. The engine does not auto-validate step config
(`load_workflow` explicitly defers validation), so validation is the only place
this surfaces before dispatch.
Extend `validate` to reject any non-string `prompt` with the shell-step's
phrasing ("'prompt' must be a string, got <type>"), mirroring the shell `run`
and command `input`/`options` type checks. A `{{ ... }}` expression is still a
str, so it stays valid. Adds regression coverage for non-string prompts
(null/list/int/dict) and confirms an expression prompt still validates.
Co-authored-by: Claude Opus 4.8 (1M context) <noreply@anthropic.com>
507 KiB
507 KiB