fix for pre-commit

llama_stack/core/stack.py

@@ -105,12 +105,12 @@ async def register_resources(run_config: StackRunConfig, impls: dict[Api, Any]):
 
         method = getattr(impls[api], register_method)
         for obj in objects:
-            logger.debug(f"registering {rsrc.capitalize()} {obj} for provider {obj.provider_id}")
+            if hasattr(obj, "provider_id"):
-
                 # Do not register models on disabled providers
-            if hasattr(obj, "provider_id") and (not obj.provider_id or obj.provider_id == "__disabled__"):
+                if not obj.provider_id or obj.provider_id == "__disabled__":
                     logger.debug(f"Skipping {rsrc.capitalize()} registration for disabled provider.")
                     continue
+                logger.debug(f"registering {rsrc.capitalize()} {obj} for provider {obj.provider_id}")
 
             # we want to maintain the type information in arguments to method.
             # instead of method(**obj.model_dump()), which may convert a typed attr to a dict,

llama_stack/distributions/open-benchmark/open_benchmark.py

@@ -43,7 +43,7 @@ def get_inference_providers() -> tuple[list[Provider], dict[str, list[ProviderMo
             "openai",
             [
                 ProviderModelEntry(
-                    provider_model_id="openai/gpt-4o",
+                    provider_model_id="gpt-4o",
                     model_type=ModelType.llm,
                 )
             ],

llama_stack/distributions/open-benchmark/run.yaml

@@ -136,9 +136,9 @@ inference_store:
   db_path: ${env.SQLITE_STORE_DIR:=~/.llama/distributions/open-benchmark}/inference_store.db
 models:
 - metadata: {}
-  model_id: openai/gpt-4o
+  model_id: gpt-4o
   provider_id: openai
-  provider_model_id: openai/gpt-4o
+  provider_model_id: gpt-4o
   model_type: llm
 - metadata: {}
   model_id: claude-3-5-sonnet-latest