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fix(prompts): a keyword-only argument is advertised as one everywhere
The general Python extractor dropped the bare `*` the same way the datatable one did, so every keyword-only signature it emits — `datatable`, `task` and the rest — told an agent to pass those arguments positionally, which is a TypeError. Regenerated: the script prompt, the Python skill and the CLI guidance carry the separator now. The fork dialog says both outcomes where the permission check did not answer: what the backend does with the data table is decided by the config, so a label promising the original is kept is a promise it cannot make. Co-Authored-By: Claude Opus 5 (1M context) <noreply@anthropic.com> Claude-Session: https://claude.ai/code/session_01S5arH3G2Sa1Qqm32veJQ1n
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Claude Opus 5
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b1474820b5
commit
8a40ff46fd
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-5
@@ -4410,7 +4410,7 @@ def send_teams_message(conversation_id: str, text: str, success: bool = True, ca
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#
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# Returns:
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# DataTableClient instance
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def datatable(name: str = 'main', role: Optional[str] = None)
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def datatable(name: str = 'main', *, role: Optional[str] = None)
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# Get a DuckLake client for DuckDB queries.
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#
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@@ -4601,7 +4601,7 @@ def parse_sql_client_name(name: str) -> tuple[str, Optional[str]]
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#
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# @task(path="f/external_script", timeout=600, tag="gpu")
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# async def run_external(x: int): ...
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def task(_func = None, path: Optional[str] = None, tag: Optional[str] = None, timeout: Optional[int] = None, cache_ttl: Optional[int] = None, priority: Optional[int] = None, concurrency_limit: Optional[int] = None, concurrency_key: Optional[str] = None, concurrency_time_window_s: Optional[int] = None)
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def task(_func = None, *, path: Optional[str] = None, tag: Optional[str] = None, timeout: Optional[int] = None, cache_ttl: Optional[int] = None, priority: Optional[int] = None, concurrency_limit: Optional[int] = None, concurrency_key: Optional[str] = None, concurrency_time_window_s: Optional[int] = None)
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# Create a task that dispatches to a separate Windmill script.
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#
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@@ -4612,7 +4612,7 @@ def task(_func = None, path: Optional[str] = None, tag: Optional[str] = None, ti
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# @workflow
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# async def main():
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# data = await extract(url="https://...")
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def task_script(path: str, timeout: Optional[int] = None, tag: Optional[str] = None, cache_ttl: Optional[int] = None, priority: Optional[int] = None, concurrency_limit: Optional[int] = None, concurrency_key: Optional[str] = None, concurrency_time_window_s: Optional[int] = None)
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def task_script(path: str, *, timeout: Optional[int] = None, tag: Optional[str] = None, cache_ttl: Optional[int] = None, priority: Optional[int] = None, concurrency_limit: Optional[int] = None, concurrency_key: Optional[str] = None, concurrency_time_window_s: Optional[int] = None)
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# Create a task that dispatches to a separate Windmill flow.
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#
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@@ -4623,7 +4623,7 @@ def task_script(path: str, timeout: Optional[int] = None, tag: Optional[str] = N
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# @workflow
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# async def main():
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# result = await pipeline(input=data)
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def task_flow(path: str, timeout: Optional[int] = None, tag: Optional[str] = None, cache_ttl: Optional[int] = None, priority: Optional[int] = None, concurrency_limit: Optional[int] = None, concurrency_key: Optional[str] = None, concurrency_time_window_s: Optional[int] = None)
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def task_flow(path: str, *, timeout: Optional[int] = None, tag: Optional[str] = None, cache_ttl: Optional[int] = None, priority: Optional[int] = None, concurrency_limit: Optional[int] = None, concurrency_key: Optional[str] = None, concurrency_time_window_s: Optional[int] = None)
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# Decorator marking an async function as a workflow-as-code entry point.
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#
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@@ -4684,7 +4684,7 @@ async def wait_for_approval(timeout: int = 1800, form: dict | None = None, self_
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# ...
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#
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# results = await parallel(items, process, concurrency=5)
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async def parallel(items, fn, concurrency: Optional[int] = None)
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async def parallel(items, fn, *, concurrency: Optional[int] = None)
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# Commit Kafka offsets for a trigger with auto_commit disabled.
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#
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