reducer path to strengthen too

docs/core_state_mapping_and_merge.md

@@ -249,14 +249,17 @@ Reducers are a capability family, similar to reusable node specs:
 - dependency-trackable
 
 State fields reference reducers declaratively. String reducer names are accepted
-as shorthand for unconfigured reducers; configured reducers use a `name` plus
-JSON-compatible `config`. Workflow artifacts do not embed arbitrary Python
-callables.
+as shorthand for unconfigured reducers; configured reducers use a structural
+`ref` plus JSON-compatible `config`. Workflow artifacts do not embed arbitrary
+Python callables.
 
 ```python
 StateField(
     type="integer",
-    reducer={"name": "wf.std.modulo_add", "config": {"modulus": 10}},
+    reducer={
+        "ref": {"source": "wf.std", "capability_key": "modulo_add"},
+        "config": {"modulus": 10},
+    },
 )
 ```
 

docs/structural_refs.md

@@ -159,16 +159,16 @@ being split again.
 Reducer refs are capability refs, not graph paths. `wf.std.add` is shorthand for
 source `wf.std` and capability key `add`.
 
-The reducer cleanup should move `ReducerRef` toward structural `CapabilityRef`
-while keeping string reducer names as parse-only shorthand. Reducer config stays
-part of the reducer reference payload:
+Configured reducer refs now use a structural `CapabilityRef` while keeping
+string reducer names as parse-only shorthand and display keys. Reducer config
+stays part of the reducer reference payload:
 
 ```json
 {
-  "name": "wf.std.modulo_add",
+  "ref": {"source": "wf.std", "capability_key": "modulo_add"},
   "config": {"modulus": 10}
 }
 ```
 
-That future cleanup must not reuse graph path parsing rules. Reducer names live
-in the capability/source domain.
+That shape must not reuse graph path parsing rules. Reducer names live in the
+capability/source domain.

src/wf_artifacts/drafts/adapter.py

@@ -3,6 +3,7 @@ from __future__ import annotations
 from wf_authoring import WorkflowBuilder
 from wf_authoring.dsl import PathExpr
 from wf_core import JoinNode, Workflow
+from wf_core.paths import GraphSourcePath
 
 from .models import (
     DraftChooseStep,
@@ -81,7 +82,7 @@ def _add_step(builder: WorkflowBuilder, step_id: str, step: DraftStep):
         ).entry
     if isinstance(step, DraftMatchStep):
         return builder.match(
-            PathExpr(step.match.value),
+            PathExpr(GraphSourcePath.parse(step.match.value)),
             {case.equals: case.then for case in step.match.cases},
             id=step_id,
             default=step.match.default,

src/wf_artifacts/factory.py

@@ -3,7 +3,7 @@ from __future__ import annotations
 from collections.abc import Mapping
 
 from wf_core import ReducerRef, Workflow
-from wf_platform import CapabilityRef, NodeSpecInventory
+from wf_platform import NodeSpecInventory
 
 from .models import ArtifactKind, JsonObject, RequiredCapability, WorkflowArtifact
 from .references import normalize_plan_node_refs
@@ -99,12 +99,8 @@ def _required_reducers_from_plan(plan: JsonObject) -> dict[str, RequiredCapabili
                 reducer = ReducerRef.model_validate(reducer_payload)
             except ValueError:
                 continue
-        try:
-            reducer_ref = CapabilityRef.parse(reducer.name)
-        except ValueError:
-            continue
         requirements[reducer.name] = RequiredCapability(
-            ref=reducer_ref,
+            ref=reducer.ref,
             kind="reducer",
         )
     return requirements

src/wf_core/models/reducers.py

@@ -1,16 +1,59 @@
 from __future__ import annotations
 
+from collections.abc import Mapping
 from typing import Any
 
-from pydantic import BaseModel, ConfigDict, Field
+from pydantic import BaseModel, ConfigDict, Field, model_validator
+
+from wf_platform.refs import CapabilityRef
 
 
 class ReducerRef(BaseModel):
-    """Reference to one reducer plus JSON-compatible configuration."""
+    """Reference to one reducer capability plus JSON-compatible configuration."""
 
-    name: str
+    ref: CapabilityRef
     config: dict[str, Any] = Field(default_factory=dict)
 
+    def __init__(
+        self,
+        *,
+        ref: CapabilityRef | str | Mapping[str, Any] | None = None,
+        name: str | None = None,
+        config: dict[str, Any] | None = None,
+        **extra: object,
+    ) -> None:
+        """Accept legacy `name=` construction while storing canonical `ref`.
+
+        Existing authoring and runtime code still constructs reducers with
+        `ReducerRef(name="wf.std.add")`. That remains source-compatible, but
+        the model state is now the structural capability reference.
+        """
+        payload: dict[str, object] = {"config": config or {}}
+        if ref is not None:
+            payload["ref"] = ref
+        if name is not None:
+            payload["name"] = name
+        payload.update(extra)
+        super().__init__(**payload)
+
+    @model_validator(mode="before")
+    @classmethod
+    def _coerce_legacy_shapes(cls, value: object) -> object:
+        """Accept old reducer strings/`name` objects as parse-only shorthand."""
+        if isinstance(value, str):
+            return {"ref": CapabilityRef.parse(value)}
+        if not isinstance(value, Mapping):
+            return value
+        data = dict(value)
+        if "ref" not in data and "name" in data:
+            data["ref"] = CapabilityRef.parse(str(data.pop("name")))
+        return data
+
+    @property
+    def name(self) -> str:
+        """Display/registry compatibility key for existing reducer catalogs."""
+        return str(self.ref)
+
 
 class ReducerSpec(BaseModel):
     """Inspectable metadata for one named pure state reducer."""

src/wf_platform/__init__.py

@@ -1,7 +1,15 @@
-from .docs import DocumentationPrompt, DocumentationResource, build_documentation_source
+from typing import TYPE_CHECKING
+
 from .refs import CapabilityRef, SourceRef
 from .paging import Page, page_items
 from .schema_hashes import hash_json_schema
+
+if TYPE_CHECKING:
+    from .docs import (
+        DocumentationPrompt,
+        DocumentationResource,
+        build_documentation_source,
+    )
     from .sources import (
         CapabilityBuckets,
         CapabilitySource,
@@ -17,6 +25,24 @@ from .sources import (
         SourceVisibilitySnapshot,
     )
 
+_LAZY_EXPORTS = {
+    "CapabilityBuckets": ".sources",
+    "CapabilitySource": ".sources",
+    "DocumentationPrompt": ".docs",
+    "DocumentationResource": ".docs",
+    "NodeSpecInventory": ".sources",
+    "ReducerInventory": ".sources",
+    "SourceCapabilityInventory": ".sources",
+    "SourceInventory": ".sources",
+    "SourceKind": ".sources",
+    "SourcePermissions": ".sources",
+    "SourcePermissionsSnapshot": ".sources",
+    "SourceStatus": ".sources",
+    "SourceVisibility": ".sources",
+    "SourceVisibilitySnapshot": ".sources",
+    "build_documentation_source": ".docs",
+}
+
 __all__ = [
     "CapabilityBuckets",
     "CapabilitySource",
@@ -39,3 +65,21 @@ __all__ = [
     "hash_json_schema",
     "page_items",
 ]
+
+
+def __getattr__(name: str) -> object:
+    """Load platform inventory exports lazily to keep core-safe refs importable.
+
+    `wf_core` depends on `wf_platform.refs` for structural reducer references.
+    Eagerly importing source inventory here would pull in authoring/core again
+    and create an import cycle, so only foundational refs/helpers are eager.
+    """
+    import importlib
+
+    module_name = _LAZY_EXPORTS.get(name)
+    if module_name is None:
+        raise AttributeError(f"module 'wf_platform' has no attribute {name!r}")
+    module = importlib.import_module(module_name, __name__)
+    value = getattr(module, name)
+    globals()[name] = value
+    return value

src/wf_platform/refs.py

@@ -46,6 +46,12 @@ class SourceRef:
             return value
         if isinstance(value, str):
             return cls.parse(value)
+        if isinstance(value, Mapping):
+            parts = value.get("parts")
+            if isinstance(parts, list | tuple) and all(
+                isinstance(part, str) for part in parts
+            ):
+                return cls(tuple(parts))
         raise TypeError("source ref must be a string")
 
 
@@ -101,9 +107,9 @@ class CapabilityRef:
             return cls.parse(value)
         if isinstance(value, dict):
             source = value.get("source")
-            name = value.get("capability_key")
-            if isinstance(source, str) and isinstance(name, str):
-                return cls(source=SourceRef.parse(source), name=name)
+            name = value.get("capability_key", value.get("name"))
+            if isinstance(name, str):
+                return cls(source=SourceRef._validate(source), name=name)
         raise TypeError(
             "capability ref must be a string or {'source': str, 'capability_key': str}"
         )

tests/artifacts/test_factory.py

@@ -50,6 +50,37 @@ def test_create_workflow_artifact_from_plan_adds_reducer_dependencies() -> None:
         outcomes=("done",),
     )
 
+    reducer = artifact.required_capability_map()["wf.std.max"]
+    assert str(reducer.capability_ref().source) == "wf.std"
+    assert reducer.capability_ref().name == "max"
+    assert reducer.logical_source == "wf.std"
+    assert reducer.capability_name == "max"
+    assert reducer.kind == "reducer"
+
+
+def test_create_workflow_artifact_from_plan_accepts_structural_reducer_ref() -> None:
+    plan = _plan()
+    plan["state_schema"] = {
+        "type": "object",
+        "properties": {
+            "score": {
+                "type": "integer",
+                "reducer": {
+                    "ref": {"source": "wf.std", "capability_key": "max"},
+                    "config": {},
+                },
+            }
+        },
+    }
+
+    artifact = create_workflow_artifact_from_plan(
+        artifact_id="score",
+        version=1,
+        title="Score",
+        plan=plan,
+        outcomes=("done",),
+    )
+
     reducer = artifact.required_capability_map()["wf.std.max"]
     assert reducer.logical_source == "wf.std"
     assert reducer.capability_name == "max"

tests/core/test_nested_state_paths.py

@@ -13,6 +13,7 @@ from wf_core.paths import StatePath
 from wf_core.runtime.ops.merges import ReducerDefinition, apply_reducer
 from wf_core.runtime.ops.runs import create_run_state
 from wf_core.runtime.ops.state import write_state_value
+from wf_platform import CapabilityRef
 
 
 def test_exact_nested_state_path_uses_declared_reducer() -> None:
@@ -313,6 +314,44 @@ def test_state_field_accepts_configured_reducer_reference() -> None:
     # PYLINT!!!! what is u on ts is so clear
     assert field.reducer.name == "wf.std.max"  # pylint: disable=no-member
     assert field.reducer.config == {"sample": True}  # pylint: disable=no-member
+    assert field.model_dump(mode="json")["reducer"] == {
+        "ref": {"source": "wf.std", "capability_key": "max"},
+        "config": {"sample": True},
+    }
+
+
+def test_reducer_ref_accepts_string_shorthand_and_dumps_structural_ref() -> None:
+    reducer = ReducerRef.model_validate("wf.std.add")
+
+    assert reducer.ref == CapabilityRef.parse("wf.std.add")
+    assert reducer.name == "wf.std.add"
+    assert reducer.model_dump(mode="json") == {
+        "ref": {"source": "wf.std", "capability_key": "add"},
+        "config": {},
+    }
+
+
+def test_reducer_ref_accepts_legacy_name_object_with_config() -> None:
+    reducer = ReducerRef.model_validate(
+        {
+            "name": "wf.std.modulo_add",
+            "config": {"modulus": 10},
+        }
+    )
+
+    assert reducer.ref == CapabilityRef.parse("wf.std.modulo_add")
+    assert reducer.name == "wf.std.modulo_add"
+    assert reducer.config == {"modulus": 10}
+
+
+def test_reducer_ref_accepts_canonical_ref_object() -> None:
+    reducer = ReducerRef.model_validate(
+        {
+            "ref": {"source": "wf.std", "capability_key": "append"},
+        }
+    )
+
+    assert reducer.name == "wf.std.append"
 
 
 def test_unknown_state_reducer_fails_clearly() -> None: