feat(workbench): expose Apple UMA report route

tests/test_workbench_api.py

@@ -447,3 +447,13 @@ def test_trace_construction_route() -> None:
     assert data["status"] == "missing_evidence"
     assert data["diagnostic_only"] is True
     assert data["serving_allowed"] is False
+
+def test_apple_uma_report_route_returns_read_only_projection() -> None:
+    response = _request("GET", "/benchmarks/apple-uma/report")
+    assert response.status == 200
+    data = response.payload["data"]
+    assert data["read_only"] is True
+    assert data["report_id"] == "apple_uma_mechanical_sympathy_latest"
+    assert "backend_status" in data
+    assert "mlx_exact_cga_recall" in data["tracks"]
+    assert any("No MLX semantic-backend" in item for item in data["non_claims"])

workbench/api.py

@@ -25,6 +25,7 @@ from workbench.construction_endpoint import (
     construction_evidence_response,
     construction_turn_id_from_path,
 )
+from workbench.apple_uma_report import read_apple_uma_report
 from workbench.tour import determinism_tour
 from workbench.field_evidence import (
     field_evidence_from_journal_entry,
@@ -326,6 +327,8 @@ class WorkbenchApi:
                 return ApiResponse(400, error("bad_request", str(exc)))
         if method == "GET" and path == "/evals":
             return ApiResponse(200, ok({"lanes": readers.list_eval_lanes()}))
+        if method == "GET" and path == "/benchmarks/apple-uma/report":
+            return ApiResponse(200, ok(read_apple_uma_report()))
         if method == "GET" and path.startswith("/evals/"):
             lane = unquote(path.removeprefix("/evals/"))
             return ApiResponse(200, ok(readers.read_eval_lane(lane)))

workbench/apple_uma_report.py

@@ -38,7 +38,10 @@ def _sha256_file(path: Path) -> str:
 
 
 def _relative(path: Path) -> str:
-    return path.resolve().relative_to(REPO_ROOT.resolve()).as_posix()
+    try:
+        return path.resolve().relative_to(REPO_ROOT.resolve()).as_posix()
+    except ValueError:
+        return path.resolve().as_posix()
 
 
 def _require_mapping(value: object, label: str) -> dict[str, Any]: