page the analysis run listings

Detection and segmentation run listings returned every run a project had ever
produced. Runs accumulate with every analysis while the panel only ever draws
the recent ones, so the response grew without bound for no benefit.

Both take limit and offset now and report total, limit, offset and truncated,
matching the result listings.

Co-Authored-By: Claude Opus 5 <noreply@anthropic.com>

backend/app/api/routes/detection.py

@@ -102,9 +102,15 @@ def queue_detection(payload: DetectionRunRequest, db: Session = Depends(get_db))
 def list_detection_runs(
     project_id: UUID | None = None,
     dataset_id: UUID | None = None,
+    limit: int = Query(default=DetectionService.DEFAULT_RUN_LIST_LIMIT, ge=0, le=5_000),
+    offset: int = Query(default=0, ge=0),
     db: Session = Depends(get_db),
 ) -> dict:
-    return envelope(DetectionService.list_runs(db, project_id=project_id, dataset_id=dataset_id).model_dump())
+    return envelope(
+        DetectionService.list_runs(
+            db, project_id=project_id, dataset_id=dataset_id, limit=limit, offset=offset
+        ).model_dump()
+    )
 
 
 @router.get("/runs/{analysis_run_id}", response_model=Envelope[DetectionRunRead])

backend/app/api/routes/segmentation.py

@@ -73,9 +73,15 @@ def queue_segmentation(payload: SegmentationRunRequest, db: Session = Depends(ge
 def list_segmentation_runs(
     project_id: UUID | None = None,
     dataset_id: UUID | None = None,
+    limit: int = Query(default=DetectionService.DEFAULT_RUN_LIST_LIMIT, ge=0, le=5_000),
+    offset: int = Query(default=0, ge=0),
     db: Session = Depends(get_db),
 ) -> dict:
-    return envelope(SegmentationService.list_runs(db, project_id=project_id, dataset_id=dataset_id).model_dump())
+    return envelope(
+        SegmentationService.list_runs(
+            db, project_id=project_id, dataset_id=dataset_id, limit=limit, offset=offset
+        ).model_dump()
+    )
 
 
 @router.get("/runs/{analysis_run_id}", response_model=Envelope[SegmentationRunRead])