add datasetio to distribution

llama_stack/providers/remote/datasetio/nvidia/config.py

@@ -24,11 +24,6 @@ class NvidiaDatasetIOConfig(BaseModel):
         description="The NVIDIA dataset namespace.",
     )
 
-    access_policies: Optional[dict] = Field(
-        default_factory=lambda: os.getenv("NVIDIA_ACCESS_POLICIES", {}),
-        description="The NVIDIA access policies.",
-    )
-
     project_id: Optional[str] = Field(
         default_factory=lambda: os.getenv("NVIDIA_PROJECT_ID", "test-project"),
         description="The NVIDIA project ID.",
@@ -46,8 +41,6 @@ class NvidiaDatasetIOConfig(BaseModel):
             default_values.append("project_id='test-project'")
         if os.getenv("NVIDIA_DATASET_NAMESPACE") is None:
             default_values.append("dataset_namespace='default'")
-        if os.getenv("NVIDIA_ACCESS_POLICIES") is None:
-            default_values.append("access_policies='{}'")
         if os.getenv("NVIDIA_DATASETS_URL") is None:
             default_values.append("datasets_url='http://nemo.test'")
 
@@ -64,8 +57,5 @@ class NvidiaDatasetIOConfig(BaseModel):
             "api_key": "${env.NVIDIA_API_KEY:}",
             "user_id": "${env.NVIDIA_USER_ID:llama-stack-user}",
             "dataset_namespace": "${env.NVIDIA_DATASET_NAMESPACE:default}",
-            "access_policies": "${env.NVIDIA_ACCESS_POLICIES:}",
             "project_id": "${env.NVIDIA_PROJECT_ID:test-project}",
-            "customizer_url": "${env.NVIDIA_CUSTOMIZER_URL:}",
-            "output_model_dir": "${env.NVIDIA_OUTPUT_MODEL_DIR:test-example-model@v1}",
         }

llama_stack/providers/remote/datasetio/nvidia/datasetio.py

@@ -4,14 +4,13 @@
 # This source code is licensed under the terms described in the LICENSE file in
 # the root directory of this source tree.
 
-from typing import Any, Dict, Literal, Optional
+from typing import Any, Dict, List, Optional
 
 import aiohttp
 
 from llama_stack.apis.common.content_types import URL
 from llama_stack.apis.common.type_system import ParamType
-from llama_stack.apis.datasets.datasets import Dataset, ListDatasetsResponse
+from llama_stack.apis.datasetio import IterrowsResponse
-from llama_stack.apis.resource import ResourceType
 from llama_stack.schema_utils import webmethod
 
 from .config import NvidiaDatasetIOConfig
@@ -20,8 +19,6 @@ from .config import NvidiaDatasetIOConfig
 class NvidiaDatasetIOAdapter:
     """Nvidia NeMo DatasetIO API."""
 
-    type: Literal[ResourceType.dataset.value] = ResourceType.dataset.value
-
     def __init__(self, config: NvidiaDatasetIOConfig):
         self.config = config
         self.headers = {}
@@ -80,19 +77,6 @@ class NvidiaDatasetIOAdapter:
         """
         ...
 
-    @webmethod(route="/datasets/{dataset_id:namespace}", method="GET")
-    async def get_dataset(
-        self,
-        dataset_id: str,
-    ) -> Optional[Dataset]:
-        raise NotImplementedError("Not implemented")
-
-    @webmethod(route="/datasets", method="GET")
-    async def list_datasets(
-        self,
-    ) -> ListDatasetsResponse:
-        raise NotImplementedError("Not implemented")
-
     @webmethod(route="/datasets/{dataset_id:path}", method="POST")
     async def update_dataset(
         self,
@@ -112,3 +96,14 @@ class NvidiaDatasetIOAdapter:
         namespace: Optional[str] = "default",
     ) -> None:
         raise NotImplementedError("Not implemented")
+
+    async def iterrows(
+        self,
+        dataset_id: str,
+        start_index: Optional[int] = None,
+        limit: Optional[int] = None,
+    ) -> IterrowsResponse:
+        raise NotImplementedError("Not implemented")
+
+    async def append_rows(self, dataset_id: str, rows: List[Dict[str, Any]]) -> None:
+        raise NotImplementedError("Not implemented")

llama_stack/templates/dependencies.json

@@ -394,6 +394,8 @@
     "aiosqlite",
     "blobfile",
     "chardet",
+    "datasets",
+    "emoji",
     "faiss-cpu",
     "fastapi",
     "fire",

llama_stack/templates/nvidia/build.yaml

@@ -18,6 +18,7 @@ distribution_spec:
     - remote::nvidia
     datasetio:
     - inline::localfs
+    - remote::nvidia
     scoring:
     - inline::basic
     tool_runtime:

llama_stack/templates/nvidia/nvidia.py

@@ -7,6 +7,7 @@
 from pathlib import Path
 
 from llama_stack.distribution.datatypes import ModelInput, Provider, ShieldInput, ToolGroupInput
+from llama_stack.providers.remote.datasetio.nvidia import NvidiaDatasetIOConfig
 from llama_stack.providers.remote.eval.nvidia import NVIDIAEvalConfig
 from llama_stack.providers.remote.inference.nvidia import NVIDIAConfig
 from llama_stack.providers.remote.inference.nvidia.models import MODEL_ENTRIES
@@ -23,7 +24,7 @@ def get_distribution_template() -> DistributionTemplate:
         "telemetry": ["inline::meta-reference"],
         "eval": ["remote::nvidia"],
         "post_training": ["remote::nvidia"],
-        "datasetio": ["inline::localfs"],
+        "datasetio": ["inline::localfs", "remote::nvidia"],
         "scoring": ["inline::basic"],
         "tool_runtime": ["inline::rag-runtime"],
     }
@@ -51,6 +52,11 @@ def get_distribution_template() -> DistributionTemplate:
         model_id="${env.SAFETY_MODEL}",
         provider_id="nvidia",
     )
+    datasetio_provider = Provider(
+        provider_id="nvidia",
+        provider_type="remote::nvidia",
+        config=NvidiaDatasetIOConfig.sample_run_config(),
+    )
 
     available_models = {
         "nvidia": MODEL_ENTRIES,
@@ -75,6 +81,7 @@ def get_distribution_template() -> DistributionTemplate:
             "run.yaml": RunConfigSettings(
                 provider_overrides={
                     "inference": [inference_provider],
+                    "datasetio": [datasetio_provider],
                     "eval": [eval_provider],
                 },
                 default_models=default_models,

llama_stack/templates/nvidia/run-with-safety.yaml

@@ -74,6 +74,13 @@ providers:
         type: sqlite
         namespace: null
         db_path: ${env.SQLITE_STORE_DIR:~/.llama/distributions/nvidia}/localfs_datasetio.db
+  - provider_id: nvidia
+    provider_type: remote::nvidia
+    config:
+      api_key: ${env.NVIDIA_API_KEY:}
+      user_id: ${env.NVIDIA_USER_ID:llama-stack-user}
+      dataset_namespace: ${env.NVIDIA_DATASET_NAMESPACE:default}
+      project_id: ${env.NVIDIA_PROJECT_ID:test-project}
   scoring:
   - provider_id: basic
     provider_type: inline::basic

llama_stack/templates/nvidia/run.yaml

@@ -62,13 +62,13 @@ providers:
       project_id: ${env.NVIDIA_PROJECT_ID:test-project}
       customizer_url: ${env.NVIDIA_CUSTOMIZER_URL:http://nemo.test}
   datasetio:
-  - provider_id: localfs
+  - provider_id: nvidia
-    provider_type: inline::localfs
+    provider_type: remote::nvidia
     config:
-      kvstore:
+      api_key: ${env.NVIDIA_API_KEY:}
-        type: sqlite
+      user_id: ${env.NVIDIA_USER_ID:llama-stack-user}
-        namespace: null
+      dataset_namespace: ${env.NVIDIA_DATASET_NAMESPACE:default}
-        db_path: ${env.SQLITE_STORE_DIR:~/.llama/distributions/nvidia}/localfs_datasetio.db
+      project_id: ${env.NVIDIA_PROJECT_ID:test-project}
   scoring:
   - provider_id: basic
     provider_type: inline::basic