feat: combine ProviderSpec datatypes

llama_stack/core/datatypes.py

@@ -121,10 +121,6 @@ class AutoRoutedProviderSpec(ProviderSpec):
         default=None,
     )
 
-    @property
-    def pip_packages(self) -> list[str]:
-        raise AssertionError("Should not be called on AutoRoutedProviderSpec")
-
 
 # Example: /models, /shields
 class RoutingTableProviderSpec(ProviderSpec):

llama_stack/core/distribution.py

@@ -16,11 +16,10 @@
 from llama_stack.core.external import load_external_apis
 from llama_stack.log import get_logger
 from llama_stack.providers.datatypes import (
-    AdapterSpec,
     Api,
     InlineProviderSpec,
     ProviderSpec,
-    remote_provider_spec,
+    RemoteProviderSpec,
 )
 
 logger = get_logger(name=__name__, category="core")
@@ -77,27 +76,12 @@ def providable_apis() -> list[Api]:
 
 
 def _load_remote_provider_spec(spec_data: dict[str, Any], api: Api) -> ProviderSpec:
-    adapter = AdapterSpec(**spec_data["adapter"])
-    spec = remote_provider_spec(
-        api=api,
-        adapter=adapter,
-        api_dependencies=[Api(dep) for dep in spec_data.get("api_dependencies", [])],
-    )
+    spec = RemoteProviderSpec(api=api, provider_type=f"remote::{spec_data['adapter_type']}", **spec_data)
     return spec
 
 
 def _load_inline_provider_spec(spec_data: dict[str, Any], api: Api, provider_name: str) -> ProviderSpec:
-    spec = InlineProviderSpec(
-        api=api,
-        provider_type=f"inline::{provider_name}",
-        pip_packages=spec_data.get("pip_packages", []),
-        module=spec_data["module"],
-        config_class=spec_data["config_class"],
-        api_dependencies=[Api(dep) for dep in spec_data.get("api_dependencies", [])],
-        optional_api_dependencies=[Api(dep) for dep in spec_data.get("optional_api_dependencies", [])],
-        provider_data_validator=spec_data.get("provider_data_validator"),
-        container_image=spec_data.get("container_image"),
-    )
+    spec = InlineProviderSpec(api=api, provider_type=f"inline::{provider_name}", **spec_data)
     return spec
 
 

llama_stack/distributions/starter/starter.py

@@ -78,12 +78,12 @@ def get_remote_inference_providers() -> list[Provider]:
     remote_providers = [
         provider
         for provider in available_providers()
-        if isinstance(provider, RemoteProviderSpec) and provider.adapter.adapter_type in ENABLED_INFERENCE_PROVIDERS
+        if isinstance(provider, RemoteProviderSpec) and provider.adapter_type in ENABLED_INFERENCE_PROVIDERS
     ]
 
     inference_providers = []
     for provider_spec in remote_providers:
-        provider_type = provider_spec.adapter.adapter_type
+        provider_type = provider_spec.adapter_type
 
         if provider_type in INFERENCE_PROVIDER_IDS:
             provider_id = INFERENCE_PROVIDER_IDS[provider_type]

llama_stack/providers/datatypes.py

@@ -131,6 +131,15 @@ class ProviderSpec(BaseModel):
  """,
     )
 
+    pip_packages: list[str] = Field(
+        default_factory=list,
+        description="The pip dependencies needed for this implementation",
+    )
+
+    provider_data_validator: str | None = Field(
+        default=None,
+    )
+
     is_external: bool = Field(default=False, description="Notes whether this provider is an external provider.")
 
     # used internally by the resolver; this is a hack for now
@@ -145,56 +154,15 @@ class RoutingTable(Protocol):
     async def get_provider_impl(self, routing_key: str) -> Any: ...
 
 
-# TODO: this can now be inlined into RemoteProviderSpec
-@json_schema_type
-class AdapterSpec(BaseModel):
-    adapter_type: str = Field(
-        ...,
-        description="Unique identifier for this adapter",
-    )
-    module: str = Field(
-        default_factory=str,
-        description="""
-Fully-qualified name of the module to import. The module is expected to have:
-
- - `get_adapter_impl(config, deps)`: returns the adapter implementation
-""",
-    )
-    pip_packages: list[str] = Field(
-        default_factory=list,
-        description="The pip dependencies needed for this implementation",
-    )
-    config_class: str = Field(
-        description="Fully-qualified classname of the config for this provider",
-    )
-    provider_data_validator: str | None = Field(
-        default=None,
-    )
-    description: str | None = Field(
-        default=None,
-        description="""
-A description of the provider. This is used to display in the documentation.
-""",
-    )
-
-
 @json_schema_type
 class InlineProviderSpec(ProviderSpec):
-    pip_packages: list[str] = Field(
-        default_factory=list,
-        description="The pip dependencies needed for this implementation",
-    )
     container_image: str | None = Field(
         default=None,
         description="""
 The container image to use for this implementation. If one is provided, pip_packages will be ignored.
 If a provider depends on other providers, the dependencies MUST NOT specify a container image.
 """,
     )
-    # module field is inherited from ProviderSpec
-    provider_data_validator: str | None = Field(
-        default=None,
-    )
     description: str | None = Field(
         default=None,
         description="""
@@ -223,44 +191,22 @@ def from_url(cls, url: str) -> "RemoteProviderConfig":
 
 @json_schema_type
 class RemoteProviderSpec(ProviderSpec):
-    adapter: AdapterSpec = Field(
+    adapter_type: str = Field(
+        ...,
+        description="Unique identifier for this adapter",
+    )
+
+    description: str | None = Field(
+        default=None,
         description="""
-If some code is needed to convert the remote responses into Llama Stack compatible
-API responses, specify the adapter here.
+A description of the provider. This is used to display in the documentation.
 """,
     )
 
     @property
     def container_image(self) -> str | None:
         return None
 
-    # module field is inherited from ProviderSpec
-
-    @property
-    def pip_packages(self) -> list[str]:
-        return self.adapter.pip_packages
-
-    @property
-    def provider_data_validator(self) -> str | None:
-        return self.adapter.provider_data_validator
-
-
-def remote_provider_spec(
-    api: Api,
-    adapter: AdapterSpec,
-    api_dependencies: list[Api] | None = None,
-    optional_api_dependencies: list[Api] | None = None,
-) -> RemoteProviderSpec:
-    return RemoteProviderSpec(
-        api=api,
-        provider_type=f"remote::{adapter.adapter_type}",
-        config_class=adapter.config_class,
-        module=adapter.module,
-        adapter=adapter,
-        api_dependencies=api_dependencies or [],
-        optional_api_dependencies=optional_api_dependencies or [],
-    )
-
 
 class HealthStatus(StrEnum):
     OK = "OK"

llama_stack/providers/registry/datasetio.py

@@ -6,11 +6,10 @@
 
 
 from llama_stack.providers.datatypes import (
-    AdapterSpec,
     Api,
     InlineProviderSpec,
     ProviderSpec,
-    remote_provider_spec,
+    RemoteProviderSpec,
 )
 
 
@@ -25,28 +24,26 @@ def available_providers() -> list[ProviderSpec]:
             api_dependencies=[],
             description="Local filesystem-based dataset I/O provider for reading and writing datasets to local storage.",
         ),
-        remote_provider_spec(
+        RemoteProviderSpec(
             api=Api.datasetio,
-            adapter=AdapterSpec(
-                adapter_type="huggingface",
-                pip_packages=[
-                    "datasets>=4.0.0",
-                ],
-                module="llama_stack.providers.remote.datasetio.huggingface",
-                config_class="llama_stack.providers.remote.datasetio.huggingface.HuggingfaceDatasetIOConfig",
-                description="HuggingFace datasets provider for accessing and managing datasets from the HuggingFace Hub.",
-            ),
+            adapter_type="huggingface",
+            provider_type="remote::huggingface",
+            pip_packages=[
+                "datasets>=4.0.0",
+            ],
+            module="llama_stack.providers.remote.datasetio.huggingface",
+            config_class="llama_stack.providers.remote.datasetio.huggingface.HuggingfaceDatasetIOConfig",
+            description="HuggingFace datasets provider for accessing and managing datasets from the HuggingFace Hub.",
         ),
-        remote_provider_spec(
+        RemoteProviderSpec(
             api=Api.datasetio,
-            adapter=AdapterSpec(
-                adapter_type="nvidia",
-                pip_packages=[
-                    "datasets>=4.0.0",
-                ],
-                module="llama_stack.providers.remote.datasetio.nvidia",
-                config_class="llama_stack.providers.remote.datasetio.nvidia.NvidiaDatasetIOConfig",
-                description="NVIDIA's dataset I/O provider for accessing datasets from NVIDIA's data platform.",
-            ),
+            adapter_type="nvidia",
+            provider_type="remote::nvidia",
+            module="llama_stack.providers.remote.datasetio.nvidia",
+            config_class="llama_stack.providers.remote.datasetio.nvidia.NvidiaDatasetIOConfig",
+            pip_packages=[
+                "datasets>=4.0.0",
+            ],
+            description="NVIDIA's dataset I/O provider for accessing datasets from NVIDIA's data platform.",
         ),
     ]

llama_stack/providers/registry/eval.py

@@ -5,7 +5,7 @@
 # the root directory of this source tree.
 
 
-from llama_stack.providers.datatypes import AdapterSpec, Api, InlineProviderSpec, ProviderSpec, remote_provider_spec
+from llama_stack.providers.datatypes import Api, InlineProviderSpec, ProviderSpec, RemoteProviderSpec
 
 
 def available_providers() -> list[ProviderSpec]:
@@ -25,17 +25,16 @@ def available_providers() -> list[ProviderSpec]:
             ],
             description="Meta's reference implementation of evaluation tasks with support for multiple languages and evaluation metrics.",
         ),
-        remote_provider_spec(
+        RemoteProviderSpec(
             api=Api.eval,
-            adapter=AdapterSpec(
-                adapter_type="nvidia",
-                pip_packages=[
-                    "requests",
-                ],
-                module="llama_stack.providers.remote.eval.nvidia",
-                config_class="llama_stack.providers.remote.eval.nvidia.NVIDIAEvalConfig",
-                description="NVIDIA's evaluation provider for running evaluation tasks on NVIDIA's platform.",
-            ),
+            adapter_type="nvidia",
+            pip_packages=[
+                "requests",
+            ],
+            provider_type="remote::nvidia",
+            module="llama_stack.providers.remote.eval.nvidia",
+            config_class="llama_stack.providers.remote.eval.nvidia.NVIDIAEvalConfig",
+            description="NVIDIA's evaluation provider for running evaluation tasks on NVIDIA's platform.",
             api_dependencies=[
                 Api.datasetio,
                 Api.datasets,

llama_stack/providers/registry/files.py

@@ -4,13 +4,7 @@
 # This source code is licensed under the terms described in the LICENSE file in
 # the root directory of this source tree.
 
-from llama_stack.providers.datatypes import (
-    AdapterSpec,
-    Api,
-    InlineProviderSpec,
-    ProviderSpec,
-    remote_provider_spec,
-)
+from llama_stack.providers.datatypes import Api, InlineProviderSpec, ProviderSpec, RemoteProviderSpec
 from llama_stack.providers.utils.sqlstore.sqlstore import sql_store_pip_packages
 
 
@@ -25,14 +19,13 @@ def available_providers() -> list[ProviderSpec]:
             config_class="llama_stack.providers.inline.files.localfs.config.LocalfsFilesImplConfig",
             description="Local filesystem-based file storage provider for managing files and documents locally.",
         ),
-        remote_provider_spec(
+        RemoteProviderSpec(
             api=Api.files,
-            adapter=AdapterSpec(
-                adapter_type="s3",
-                pip_packages=["boto3"] + sql_store_pip_packages,
-                module="llama_stack.providers.remote.files.s3",
-                config_class="llama_stack.providers.remote.files.s3.config.S3FilesImplConfig",
-                description="AWS S3-based file storage provider for scalable cloud file management with metadata persistence.",
-            ),
+            provider_type="remote::s3",
+            adapter_type="s3",
+            pip_packages=["boto3"] + sql_store_pip_packages,
+            module="llama_stack.providers.remote.files.s3",
+            config_class="llama_stack.providers.remote.files.s3.config.S3FilesImplConfig",
+            description="AWS S3-based file storage provider for scalable cloud file management with metadata persistence.",
         ),
     ]