diff --git a/docs/notebooks/Llama_Stack_Benchmark_Evals.ipynb b/docs/notebooks/Llama_Stack_Benchmark_Evals.ipynb
index 2861c8499..8eecf84ab 100644
--- a/docs/notebooks/Llama_Stack_Benchmark_Evals.ipynb
+++ b/docs/notebooks/Llama_Stack_Benchmark_Evals.ipynb
@@ -1214,7 +1214,7 @@
         "            \"sampling_params\": {\n",
         "                \"strategy\": {\n",
         "                    \"type\": \"greedy\",\n",
-        "                },b\n",
+        "                },\n",
         "                \"max_tokens\": 4096,\n",
         "                \"repeat_penalty\": 1.0,\n",
         "            },\n",
diff --git a/llama_stack/distribution/routers/routing_tables.py b/llama_stack/distribution/routers/routing_tables.py
index 563c5c5ab..ec258af49 100644
--- a/llama_stack/distribution/routers/routing_tables.py
+++ b/llama_stack/distribution/routers/routing_tables.py
@@ -472,20 +472,16 @@ class BenchmarksRoutingTable(CommonRoutingTableImpl, Benchmarks):
     async def DEPRECATED_list_eval_tasks(self) -> ListBenchmarksResponse:
         logger.warning("DEPRECATED: Use /eval/benchmarks instead")
         return await self.list_benchmarks()
-        return await self.list_benchmarks()
 
     async def DEPRECATED_get_eval_task(
         self,
-        task_id: str,
         eval_task_id: str,
     ) -> Optional[Benchmark]:
         logger.warning("DEPRECATED: Use /eval/benchmarks instead")
-        return await self.get_benchmark(task_id)
         return await self.get_benchmark(eval_task_id)
 
     async def DEPRECATED_register_eval_task(
         self,
-        task_id: str,
         eval_task_id: str,
         dataset_id: str,
         scoring_functions: List[str],
@@ -494,8 +490,6 @@ class BenchmarksRoutingTable(CommonRoutingTableImpl, Benchmarks):
         metadata: Optional[Dict[str, Any]] = None,
     ) -> None:
         logger.warning("DEPRECATED: Use /eval/benchmarks instead")
-        return await self.register_benchmark(
-            benchmark_id=task_id,
         return await self.register_benchmark(
             benchmark_id=eval_task_id,
             dataset_id=dataset_id,