chore: slight renaming of model alias stuff (#1181)

Quick test by running:
```
LLAMA_STACK_CONFIG=fireworks pytest -s -v tests/client-sdk
```

llama_stack/providers/inline/inference/meta_reference/inference.py

@@ -46,7 +46,7 @@ from llama_stack.providers.utils.inference.embedding_mixin import (
 )
 from llama_stack.providers.utils.inference.model_registry import (
     ModelRegistryHelper,
-    build_model_alias,
+    build_hf_repo_model_alias,
 )
 from llama_stack.providers.utils.inference.prompt_adapter import (
     augment_content_with_response_format_prompt,
@@ -116,7 +116,7 @@ class MetaReferenceInferenceImpl(
 
         self.model_registry_helper = ModelRegistryHelper(
             [
-                build_model_alias(
+                build_hf_repo_model_alias(
                     llama_model.descriptor(),
                     llama_model.core_model_id.value,
                 )

llama_stack/providers/remote/inference/bedrock/models.py

@@ -6,19 +6,19 @@
 
 from llama_stack.models.llama.datatypes import CoreModelId
 from llama_stack.providers.utils.inference.model_registry import (
-    build_model_alias,
+    build_hf_repo_model_alias,
 )
 
 MODEL_ALIASES = [
-    build_model_alias(
+    build_hf_repo_model_alias(
         "meta.llama3-1-8b-instruct-v1:0",
         CoreModelId.llama3_1_8b_instruct.value,
     ),
-    build_model_alias(
+    build_hf_repo_model_alias(
         "meta.llama3-1-70b-instruct-v1:0",
         CoreModelId.llama3_1_70b_instruct.value,
     ),
-    build_model_alias(
+    build_hf_repo_model_alias(
         "meta.llama3-1-405b-instruct-v1:0",
         CoreModelId.llama3_1_405b_instruct.value,
     ),

llama_stack/providers/remote/inference/cerebras/models.py

@@ -6,15 +6,15 @@
 
 from llama_stack.models.llama.datatypes import CoreModelId
 from llama_stack.providers.utils.inference.model_registry import (
-    build_model_alias,
+    build_hf_repo_model_alias,
 )
 
 model_aliases = [
-    build_model_alias(
+    build_hf_repo_model_alias(
         "llama3.1-8b",
         CoreModelId.llama3_1_8b_instruct.value,
     ),
-    build_model_alias(
+    build_hf_repo_model_alias(
         "llama-3.3-70b",
         CoreModelId.llama3_3_70b_instruct.value,
     ),

llama_stack/providers/remote/inference/databricks/databricks.py

@@ -25,7 +25,7 @@ from llama_stack.apis.inference import (
 from llama_stack.models.llama.datatypes import CoreModelId
 from llama_stack.providers.utils.inference.model_registry import (
     ModelRegistryHelper,
-    build_model_alias,
+    build_hf_repo_model_alias,
 )
 from llama_stack.providers.utils.inference.openai_compat import (
     get_sampling_options,
@@ -39,11 +39,11 @@ from llama_stack.providers.utils.inference.prompt_adapter import (
 from .config import DatabricksImplConfig
 
 model_aliases = [
-    build_model_alias(
+    build_hf_repo_model_alias(
         "databricks-meta-llama-3-1-70b-instruct",
         CoreModelId.llama3_1_70b_instruct.value,
     ),
-    build_model_alias(
+    build_hf_repo_model_alias(
         "databricks-meta-llama-3-1-405b-instruct",
         CoreModelId.llama3_1_405b_instruct.value,
     ),

llama_stack/providers/remote/inference/fireworks/models.py

@@ -6,47 +6,47 @@
 
 from llama_stack.models.llama.datatypes import CoreModelId
 from llama_stack.providers.utils.inference.model_registry import (
-    build_model_alias,
+    build_hf_repo_model_alias,
 )
 
 MODEL_ALIASES = [
-    build_model_alias(
+    build_hf_repo_model_alias(
         "accounts/fireworks/models/llama-v3p1-8b-instruct",
         CoreModelId.llama3_1_8b_instruct.value,
     ),
-    build_model_alias(
+    build_hf_repo_model_alias(
         "accounts/fireworks/models/llama-v3p1-70b-instruct",
         CoreModelId.llama3_1_70b_instruct.value,
     ),
-    build_model_alias(
+    build_hf_repo_model_alias(
         "accounts/fireworks/models/llama-v3p1-405b-instruct",
         CoreModelId.llama3_1_405b_instruct.value,
     ),
-    build_model_alias(
+    build_hf_repo_model_alias(
         "accounts/fireworks/models/llama-v3p2-1b-instruct",
         CoreModelId.llama3_2_1b_instruct.value,
     ),
-    build_model_alias(
+    build_hf_repo_model_alias(
         "accounts/fireworks/models/llama-v3p2-3b-instruct",
         CoreModelId.llama3_2_3b_instruct.value,
     ),
-    build_model_alias(
+    build_hf_repo_model_alias(
         "accounts/fireworks/models/llama-v3p2-11b-vision-instruct",
         CoreModelId.llama3_2_11b_vision_instruct.value,
     ),
-    build_model_alias(
+    build_hf_repo_model_alias(
         "accounts/fireworks/models/llama-v3p2-90b-vision-instruct",
         CoreModelId.llama3_2_90b_vision_instruct.value,
     ),
-    build_model_alias(
+    build_hf_repo_model_alias(
         "accounts/fireworks/models/llama-v3p3-70b-instruct",
         CoreModelId.llama3_3_70b_instruct.value,
     ),
-    build_model_alias(
+    build_hf_repo_model_alias(
         "accounts/fireworks/models/llama-guard-3-8b",
         CoreModelId.llama_guard_3_8b.value,
     ),
-    build_model_alias(
+    build_hf_repo_model_alias(
         "accounts/fireworks/models/llama-guard-3-11b-vision",
         CoreModelId.llama_guard_3_11b_vision.value,
     ),

llama_stack/providers/remote/inference/groq/groq.py

@@ -31,8 +31,8 @@ from llama_stack.models.llama.sku_list import CoreModelId
 from llama_stack.providers.remote.inference.groq.config import GroqConfig
 from llama_stack.providers.utils.inference.model_registry import (
     ModelRegistryHelper,
+    build_hf_repo_model_alias,
     build_model_alias,
-    build_model_alias_with_just_provider_model_id,
 )
 
 from .groq_utils import (
@@ -42,19 +42,19 @@ from .groq_utils import (
 )
 
 _MODEL_ALIASES = [
-    build_model_alias(
+    build_hf_repo_model_alias(
         "llama3-8b-8192",
         CoreModelId.llama3_1_8b_instruct.value,
     ),
-    build_model_alias_with_just_provider_model_id(
+    build_model_alias(
         "llama-3.1-8b-instant",
         CoreModelId.llama3_1_8b_instruct.value,
     ),
-    build_model_alias(
+    build_hf_repo_model_alias(
         "llama3-70b-8192",
         CoreModelId.llama3_70b_instruct.value,
     ),
-    build_model_alias(
+    build_hf_repo_model_alias(
         "llama-3.3-70b-versatile",
         CoreModelId.llama3_3_70b_instruct.value,
     ),
@@ -62,7 +62,7 @@ _MODEL_ALIASES = [
     # Preview models aren't recommended for production use, but we include this one
     # to pass the test fixture
     # TODO(aidand): Replace this with a stable model once Groq supports it
-    build_model_alias(
+    build_hf_repo_model_alias(
         "llama-3.2-3b-preview",
         CoreModelId.llama3_2_3b_instruct.value,
     ),

llama_stack/providers/remote/inference/nvidia/models.py

@@ -6,43 +6,43 @@
 
 from llama_stack.models.llama.datatypes import CoreModelId
 from llama_stack.providers.utils.inference.model_registry import (
-    build_model_alias,
+    build_hf_repo_model_alias,
 )
 
 _MODEL_ALIASES = [
-    build_model_alias(
+    build_hf_repo_model_alias(
         "meta/llama3-8b-instruct",
         CoreModelId.llama3_8b_instruct.value,
     ),
-    build_model_alias(
+    build_hf_repo_model_alias(
         "meta/llama3-70b-instruct",
         CoreModelId.llama3_70b_instruct.value,
     ),
-    build_model_alias(
+    build_hf_repo_model_alias(
         "meta/llama-3.1-8b-instruct",
         CoreModelId.llama3_1_8b_instruct.value,
     ),
-    build_model_alias(
+    build_hf_repo_model_alias(
         "meta/llama-3.1-70b-instruct",
         CoreModelId.llama3_1_70b_instruct.value,
     ),
-    build_model_alias(
+    build_hf_repo_model_alias(
         "meta/llama-3.1-405b-instruct",
         CoreModelId.llama3_1_405b_instruct.value,
     ),
-    build_model_alias(
+    build_hf_repo_model_alias(
         "meta/llama-3.2-1b-instruct",
         CoreModelId.llama3_2_1b_instruct.value,
     ),
-    build_model_alias(
+    build_hf_repo_model_alias(
         "meta/llama-3.2-3b-instruct",
         CoreModelId.llama3_2_3b_instruct.value,
     ),
-    build_model_alias(
+    build_hf_repo_model_alias(
         "meta/llama-3.2-11b-vision-instruct",
         CoreModelId.llama3_2_11b_vision_instruct.value,
     ),
-    build_model_alias(
+    build_hf_repo_model_alias(
         "meta/llama-3.2-90b-vision-instruct",
         CoreModelId.llama3_2_90b_vision_instruct.value,
     ),

llama_stack/providers/remote/inference/ollama/ollama.py

@@ -35,8 +35,8 @@ from llama_stack.models.llama.datatypes import CoreModelId
 from llama_stack.providers.datatypes import ModelsProtocolPrivate
 from llama_stack.providers.utils.inference.model_registry import (
     ModelRegistryHelper,
+    build_hf_repo_model_alias,
     build_model_alias,
-    build_model_alias_with_just_provider_model_id,
 )
 from llama_stack.providers.utils.inference.openai_compat import (
     OpenAICompatCompletionChoice,
@@ -59,73 +59,73 @@ from llama_stack.providers.utils.inference.prompt_adapter import (
 log = logging.getLogger(__name__)
 
 model_aliases = [
-    build_model_alias(
+    build_hf_repo_model_alias(
         "llama3.1:8b-instruct-fp16",
         CoreModelId.llama3_1_8b_instruct.value,
     ),
-    build_model_alias_with_just_provider_model_id(
+    build_model_alias(
         "llama3.1:8b",
         CoreModelId.llama3_1_8b_instruct.value,
     ),
-    build_model_alias(
+    build_hf_repo_model_alias(
         "llama3.1:70b-instruct-fp16",
         CoreModelId.llama3_1_70b_instruct.value,
     ),
-    build_model_alias_with_just_provider_model_id(
+    build_model_alias(
         "llama3.1:70b",
         CoreModelId.llama3_1_70b_instruct.value,
     ),
-    build_model_alias(
+    build_hf_repo_model_alias(
         "llama3.1:405b-instruct-fp16",
         CoreModelId.llama3_1_405b_instruct.value,
     ),
-    build_model_alias_with_just_provider_model_id(
+    build_model_alias(
         "llama3.1:405b",
         CoreModelId.llama3_1_405b_instruct.value,
     ),
-    build_model_alias(
+    build_hf_repo_model_alias(
         "llama3.2:1b-instruct-fp16",
         CoreModelId.llama3_2_1b_instruct.value,
     ),
-    build_model_alias_with_just_provider_model_id(
+    build_model_alias(
         "llama3.2:1b",
         CoreModelId.llama3_2_1b_instruct.value,
     ),
-    build_model_alias(
+    build_hf_repo_model_alias(
         "llama3.2:3b-instruct-fp16",
         CoreModelId.llama3_2_3b_instruct.value,
     ),
-    build_model_alias_with_just_provider_model_id(
+    build_model_alias(
         "llama3.2:3b",
         CoreModelId.llama3_2_3b_instruct.value,
     ),
-    build_model_alias(
+    build_hf_repo_model_alias(
         "llama3.2-vision:11b-instruct-fp16",
         CoreModelId.llama3_2_11b_vision_instruct.value,
     ),
-    build_model_alias_with_just_provider_model_id(
+    build_model_alias(
         "llama3.2-vision:latest",
         CoreModelId.llama3_2_11b_vision_instruct.value,
     ),
-    build_model_alias(
+    build_hf_repo_model_alias(
         "llama3.2-vision:90b-instruct-fp16",
         CoreModelId.llama3_2_90b_vision_instruct.value,
     ),
-    build_model_alias_with_just_provider_model_id(
+    build_model_alias(
         "llama3.2-vision:90b",
         CoreModelId.llama3_2_90b_vision_instruct.value,
     ),
-    build_model_alias(
+    build_hf_repo_model_alias(
         "llama3.3:70b",
         CoreModelId.llama3_3_70b_instruct.value,
     ),
     # The Llama Guard models don't have their full fp16 versions
     # so we are going to alias their default version to the canonical SKU
-    build_model_alias(
+    build_hf_repo_model_alias(
         "llama-guard3:8b",
         CoreModelId.llama_guard_3_8b.value,
     ),
-    build_model_alias(
+    build_hf_repo_model_alias(
         "llama-guard3:1b",
         CoreModelId.llama_guard_3_1b.value,
     ),

llama_stack/providers/remote/inference/sambanova/models.py

@@ -6,43 +6,43 @@
 
 from llama_stack.models.llama.datatypes import CoreModelId
 from llama_stack.providers.utils.inference.model_registry import (
-    build_model_alias,
+    build_hf_repo_model_alias,
 )
 
 MODEL_ALIASES = [
-    build_model_alias(
+    build_hf_repo_model_alias(
         "Meta-Llama-3.1-8B-Instruct",
         CoreModelId.llama3_1_8b_instruct.value,
     ),
-    build_model_alias(
+    build_hf_repo_model_alias(
         "Meta-Llama-3.1-70B-Instruct",
         CoreModelId.llama3_1_70b_instruct.value,
     ),
-    build_model_alias(
+    build_hf_repo_model_alias(
         "Meta-Llama-3.1-405B-Instruct",
         CoreModelId.llama3_1_405b_instruct.value,
     ),
-    build_model_alias(
+    build_hf_repo_model_alias(
         "Meta-Llama-3.2-1B-Instruct",
         CoreModelId.llama3_2_1b_instruct.value,
     ),
-    build_model_alias(
+    build_hf_repo_model_alias(
         "Meta-Llama-3.2-3B-Instruct",
         CoreModelId.llama3_2_3b_instruct.value,
     ),
-    build_model_alias(
+    build_hf_repo_model_alias(
         "Meta-Llama-3.3-70B-Instruct",
         CoreModelId.llama3_3_70b_instruct.value,
     ),
-    build_model_alias(
+    build_hf_repo_model_alias(
         "Llama-3.2-11B-Vision-Instruct",
         CoreModelId.llama3_2_11b_vision_instruct.value,
     ),
-    build_model_alias(
+    build_hf_repo_model_alias(
         "Llama-3.2-90B-Vision-Instruct",
         CoreModelId.llama3_2_90b_vision_instruct.value,
     ),
-    build_model_alias(
+    build_hf_repo_model_alias(
         "Meta-Llama-Guard-3-8B",
         CoreModelId.llama_guard_3_8b.value,
     ),

llama_stack/providers/remote/inference/tgi/tgi.py

@@ -32,7 +32,7 @@ from llama_stack.models.llama.sku_list import all_registered_models
 from llama_stack.providers.datatypes import ModelsProtocolPrivate
 from llama_stack.providers.utils.inference.model_registry import (
     ModelRegistryHelper,
-    build_model_alias,
+    build_hf_repo_model_alias,
 )
 from llama_stack.providers.utils.inference.openai_compat import (
     OpenAICompatCompletionChoice,
@@ -53,9 +53,9 @@ from .config import InferenceAPIImplConfig, InferenceEndpointImplConfig, TGIImpl
 log = logging.getLogger(__name__)
 
 
-def build_model_aliases():
+def build_hf_repo_model_aliases():
     return [
-        build_model_alias(
+        build_hf_repo_model_alias(
             model.huggingface_repo,
             model.descriptor(),
         )
@@ -70,7 +70,7 @@ class _HfAdapter(Inference, ModelsProtocolPrivate):
     model_id: str
 
     def __init__(self) -> None:
-        self.register_helper = ModelRegistryHelper(build_model_aliases())
+        self.register_helper = ModelRegistryHelper(build_hf_repo_model_aliases())
         self.huggingface_repo_to_llama_model_id = {
             model.huggingface_repo: model.descriptor() for model in all_registered_models() if model.huggingface_repo
         }

llama_stack/providers/remote/inference/together/models.py

@@ -6,43 +6,43 @@
 
 from llama_stack.models.llama.datatypes import CoreModelId
 from llama_stack.providers.utils.inference.model_registry import (
-    build_model_alias,
+    build_hf_repo_model_alias,
 )
 
 MODEL_ALIASES = [
-    build_model_alias(
+    build_hf_repo_model_alias(
         "meta-llama/Meta-Llama-3.1-8B-Instruct-Turbo",
         CoreModelId.llama3_1_8b_instruct.value,
     ),
-    build_model_alias(
+    build_hf_repo_model_alias(
         "meta-llama/Meta-Llama-3.1-70B-Instruct-Turbo",
         CoreModelId.llama3_1_70b_instruct.value,
     ),
-    build_model_alias(
+    build_hf_repo_model_alias(
         "meta-llama/Meta-Llama-3.1-405B-Instruct-Turbo",
         CoreModelId.llama3_1_405b_instruct.value,
     ),
-    build_model_alias(
+    build_hf_repo_model_alias(
         "meta-llama/Llama-3.2-3B-Instruct-Turbo",
         CoreModelId.llama3_2_3b_instruct.value,
     ),
-    build_model_alias(
+    build_hf_repo_model_alias(
         "meta-llama/Llama-3.2-11B-Vision-Instruct-Turbo",
         CoreModelId.llama3_2_11b_vision_instruct.value,
     ),
-    build_model_alias(
+    build_hf_repo_model_alias(
         "meta-llama/Llama-3.2-90B-Vision-Instruct-Turbo",
         CoreModelId.llama3_2_90b_vision_instruct.value,
     ),
-    build_model_alias(
+    build_hf_repo_model_alias(
         "meta-llama/Llama-3.3-70B-Instruct-Turbo",
         CoreModelId.llama3_3_70b_instruct.value,
     ),
-    build_model_alias(
+    build_hf_repo_model_alias(
         "meta-llama/Meta-Llama-Guard-3-8B",
         CoreModelId.llama_guard_3_8b.value,
     ),
-    build_model_alias(
+    build_hf_repo_model_alias(
         "meta-llama/Llama-Guard-3-11B-Vision-Turbo",
         CoreModelId.llama_guard_3_11b_vision.value,
     ),

llama_stack/providers/remote/inference/vllm/vllm.py

@@ -38,7 +38,7 @@ from llama_stack.models.llama.sku_list import all_registered_models
 from llama_stack.providers.datatypes import ModelsProtocolPrivate
 from llama_stack.providers.utils.inference.model_registry import (
     ModelRegistryHelper,
-    build_model_alias,
+    build_hf_repo_model_alias,
 )
 from llama_stack.providers.utils.inference.openai_compat import (
     OpenAICompatCompletionResponse,
@@ -62,9 +62,9 @@ from .config import VLLMInferenceAdapterConfig
 log = logging.getLogger(__name__)
 
 
-def build_model_aliases():
+def build_hf_repo_model_aliases():
     return [
-        build_model_alias(
+        build_hf_repo_model_alias(
             model.huggingface_repo,
             model.descriptor(),
         )
@@ -204,7 +204,7 @@ async def _process_vllm_chat_completion_stream_response(
 
 class VLLMInferenceAdapter(Inference, ModelsProtocolPrivate):
     def __init__(self, config: VLLMInferenceAdapterConfig) -> None:
-        self.register_helper = ModelRegistryHelper(build_model_aliases())
+        self.register_helper = ModelRegistryHelper(build_hf_repo_model_aliases())
         self.config = config
         self.client = None
 

llama_stack/providers/utils/inference/model_registry.py

@@ -32,7 +32,7 @@ def get_huggingface_repo(model_descriptor: str) -> Optional[str]:
     return None
 
 
-def build_model_alias(provider_model_id: str, model_descriptor: str) -> ModelAlias:
+def build_hf_repo_model_alias(provider_model_id: str, model_descriptor: str) -> ModelAlias:
     return ModelAlias(
         provider_model_id=provider_model_id,
         aliases=[
@@ -42,7 +42,7 @@ def build_model_alias(provider_model_id: str, model_descriptor: str) -> ModelAli
     )
 
 
-def build_model_alias_with_just_provider_model_id(provider_model_id: str, model_descriptor: str) -> ModelAlias:
+def build_model_alias(provider_model_id: str, model_descriptor: str) -> ModelAlias:
     return ModelAlias(
         provider_model_id=provider_model_id,
         aliases=[],