diff --git a/llama_stack/providers/remote/inference/centml/centml.py b/llama_stack/providers/remote/inference/centml/centml.py
index 85e4c95bb..aacc73804 100644
--- a/llama_stack/providers/remote/inference/centml/centml.py
+++ b/llama_stack/providers/remote/inference/centml/centml.py
@@ -64,7 +64,9 @@ MODEL_ALIASES = [
 ]
 
 
-class CentMLInferenceAdapter(ModelRegistryHelper, Inference, NeedsRequestProviderData):
+class CentMLInferenceAdapter(
+    ModelRegistryHelper, Inference, NeedsRequestProviderData
+):
     """
     Adapter to use CentML's serverless inference endpoints,
     which adhere to the OpenAI chat/completions API spec,
@@ -143,7 +145,9 @@ class CentMLInferenceAdapter(ModelRegistryHelper, Inference, NeedsRequestProvide
         response = self._get_client().completions.create(**params)
         return process_completion_response(response, self.formatter)
 
-    async def _stream_completion(self, request: CompletionRequest) -> AsyncGenerator:
+    async def _stream_completion(
+        self, request: CompletionRequest
+    ) -> AsyncGenerator:
         params = await self._get_params(request)
 
         async def _to_async_generator():
@@ -152,7 +156,9 @@ class CentMLInferenceAdapter(ModelRegistryHelper, Inference, NeedsRequestProvide
                 yield chunk
 
         stream = _to_async_generator()
-        async for chunk in process_completion_stream_response(stream, self.formatter):
+        async for chunk in process_completion_stream_response(
+            stream, self.formatter
+        ):
             yield chunk
 
     #
@@ -242,12 +248,15 @@ class CentMLInferenceAdapter(ModelRegistryHelper, Inference, NeedsRequestProvide
         if isinstance(request, ChatCompletionRequest):
             # For chat requests, always build "messages" from the user messages
             input_dict["messages"] = [
-                await convert_message_to_openai_dict(m) for m in request.messages
+                await convert_message_to_openai_dict(m)
+                for m in request.messages
             ]
 
         else:
             # Non-chat (CompletionRequest)
-            assert not media_present, "CentML does not support media for completions"
+            assert not media_present, (
+                "CentML does not support media for completions"
+            )
             input_dict["prompt"] = await completion_request_to_prompt(
                 request, self.formatter
             )
@@ -256,7 +265,9 @@ class CentMLInferenceAdapter(ModelRegistryHelper, Inference, NeedsRequestProvide
             "model": request.model,
             **input_dict,
             "stream": request.stream,
-            **self._build_options(request.sampling_params, request.response_format),
+            **self._build_options(
+                request.sampling_params, request.response_format
+            ),
         }
 
     def _build_options(
@@ -277,7 +288,9 @@ class CentMLInferenceAdapter(ModelRegistryHelper, Inference, NeedsRequestProvide
                     "schema": fmt.json_schema,
                 }
             elif fmt.type == ResponseFormatType.grammar.value:
-                raise NotImplementedError("Grammar response format not supported yet")
+                raise NotImplementedError(
+                    "Grammar response format not supported yet"
+                )
             else:
                 raise ValueError(f"Unknown response format {fmt.type}")
 
diff --git a/llama_stack/templates/centml/centml.py b/llama_stack/templates/centml/centml.py
index 891c393dd..0f8c13b7a 100644
--- a/llama_stack/templates/centml/centml.py
+++ b/llama_stack/templates/centml/centml.py
@@ -13,12 +13,17 @@ from llama_stack.providers.inline.inference.sentence_transformers import (
     SentenceTransformersInferenceConfig,
 )
 from llama_stack.providers.inline.memory.faiss.config import FaissImplConfig
-from llama_stack.providers.remote.inference.centml.config import CentMLImplConfig
+from llama_stack.providers.remote.inference.centml.config import (
+    CentMLImplConfig,
+)
 
 # If your CentML adapter has a MODEL_ALIASES constant with known model mappings:
 from llama_stack.providers.remote.inference.centml.centml import MODEL_ALIASES
 
-from llama_stack.templates.template import DistributionTemplate, RunConfigSettings
+from llama_stack.templates.template import (
+    DistributionTemplate,
+    RunConfigSettings,
+)
 
 
 def get_distribution_template() -> DistributionTemplate:
@@ -33,7 +38,11 @@ def get_distribution_template() -> DistributionTemplate:
         "telemetry": ["inline::meta-reference"],
         "eval": ["inline::meta-reference"],
         "datasetio": ["remote::huggingface", "inline::localfs"],
-        "scoring": ["inline::basic", "inline::llm-as-judge", "inline::braintrust"],
+        "scoring": [
+            "inline::basic",
+            "inline::llm-as-judge",
+            "inline::braintrust",
+        ],
     }
     name = "centml"
 
@@ -94,7 +103,9 @@ def get_distribution_template() -> DistributionTemplate:
                     "memory": [memory_provider],
                 },
                 default_models=default_models + [embedding_model],
-                default_shields=[ShieldInput(shield_id="meta-llama/Llama-Guard-3-8B")],
+                default_shields=[
+                    ShieldInput(shield_id="meta-llama/Llama-Guard-3-8B")
+                ],
             ),
         },
         run_config_env_vars={