fix: close Python workflow client review
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@@ -1301,7 +1301,13 @@ artifact = await graph.save(version=1)
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run = await artifact.run({})
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```
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State explicitly that drafts are not part of `wf_client` but remain registered in the server until the separate draft opt-out plan is executed. Update `docs/current_roadmap.md` to mark the Python-client slice complete only after every verification step below passes.
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Drafts are not part of `wf_client`. The shipped server composition uses
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`drafts=False` by default, which excludes draft storage, domain modules, and RPC
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registration; real legacy draft consumers opt in explicitly with `drafts=True`.
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The earlier plan assumption that draft methods would remain registered pending a
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separate opt-out slice is historical. Update `docs/current_roadmap.md` to mark
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the Python-client slice complete only after every verification step below
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passes.
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- [ ] **Step 6: Run focused and cross-layer verification**
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@@ -633,12 +633,11 @@ capability, expose secrets, or fetch an unbounded trace.
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authoring compiles a complete workflow and saves it through the existing
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artifact-from-plan operation.
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Making draft support uninitialized by default is a separate server-composition
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slice. Today `WorkflowApi` constructs draft modules unconditionally, durable
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context validation requires a draft store, and the JSON-RPC app always
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registers draft methods. That follow-up must make draft storage, domain modules,
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and RPC registration opt-in without weakening artifact, deployment, or run
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durability.
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Draft support is uninitialized by default across storage, domain modules, and
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JSON-RPC registration. Normal composition uses `drafts=False`; callers that
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still operate the legacy draft workspace surface must opt in explicitly with
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`drafts=True`. This keeps artifact, deployment, and run durability independent
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from draft storage.
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## Testing Strategy
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