feat: use SecretStr for inference provider auth credentials

- RemoteInferenceProviderConfig now has auth_credential: SecretStr
- the default alias is api_key (most common name)
- some providers override to use api_token (RunPod, vLLM, Databricks)
- some providers exclude it (Ollama, TGI, Vertex AI)

llama_stack/providers/utils/inference/model_registry.py

@@ -6,7 +6,7 @@
 
 from typing import Any
 
-from pydantic import BaseModel, Field
+from pydantic import BaseModel, Field, SecretStr
 
 from llama_stack.apis.common.errors import UnsupportedModelError
 from llama_stack.apis.models import ModelType
@@ -28,6 +28,11 @@ class RemoteInferenceProviderConfig(BaseModel):
         default=False,
         description="Whether to refresh models periodically from the provider",
     )
+    auth_credential: SecretStr | None = Field(
+        default=None,
+        description="Authentication credential for the provider",
+        alias="api_key",
+    )
 
 
 # TODO: this class is more confusing than useful right now. We need to make it