feat: refactor llama-stack-api structure

move llama_stack_api.apis... to top level llama_stack_api.

merge provider datatypes and the existing apis.datatypes into a common llama_stack_api.datatypes

update all usages of these packages throughout LLS

Signed-off-by: Charlie Doern <cdoern@redhat.com>

tests/unit/providers/nvidia/test_datastore.py

@@ -8,8 +8,8 @@ import os
 from unittest.mock import patch
 
 import pytest
-from llama_stack_api.apis.datasets import Dataset, DatasetPurpose, URIDataSource
-from llama_stack_api.apis.resource import ResourceType
+from llama_stack_api.datasets import Dataset, DatasetPurpose, URIDataSource
+from llama_stack_api.resource import ResourceType
 
 from llama_stack.providers.remote.datasetio.nvidia.config import NvidiaDatasetIOConfig
 from llama_stack.providers.remote.datasetio.nvidia.datasetio import NvidiaDatasetIOAdapter

tests/unit/providers/nvidia/test_eval.py

@@ -8,11 +8,11 @@ import os
 from unittest.mock import MagicMock, patch
 
 import pytest
-from llama_stack_api.apis.benchmarks import Benchmark
-from llama_stack_api.apis.common.job_types import Job, JobStatus
-from llama_stack_api.apis.eval.eval import BenchmarkConfig, EvaluateResponse, ModelCandidate, SamplingParams
-from llama_stack_api.apis.inference.inference import TopPSamplingStrategy
-from llama_stack_api.apis.resource import ResourceType
+from llama_stack_api.benchmarks import Benchmark
+from llama_stack_api.common.job_types import Job, JobStatus
+from llama_stack_api.eval import BenchmarkConfig, EvaluateResponse, ModelCandidate, SamplingParams
+from llama_stack_api.inference import TopPSamplingStrategy
+from llama_stack_api.resource import ResourceType
 
 from llama_stack.models.llama.sku_types import CoreModelId
 from llama_stack.providers.remote.eval.nvidia.config import NVIDIAEvalConfig

tests/unit/providers/nvidia/test_parameters.py

@@ -9,7 +9,7 @@ import warnings
 from unittest.mock import patch
 
 import pytest
-from llama_stack_api.apis.post_training.post_training import (
+from llama_stack_api.post_training import (
     DataConfig,
     DatasetFormat,
     EfficiencyConfig,

tests/unit/providers/nvidia/test_rerank_inference.py

@@ -8,7 +8,7 @@ from unittest.mock import AsyncMock, MagicMock, patch
 
 import aiohttp
 import pytest
-from llama_stack_api.apis.models import ModelType
+from llama_stack_api.models import ModelType
 
 from llama_stack.providers.remote.inference.nvidia.config import NVIDIAConfig
 from llama_stack.providers.remote.inference.nvidia.nvidia import NVIDIAInferenceAdapter

tests/unit/providers/nvidia/test_safety.py

@@ -9,13 +9,13 @@ from typing import Any
 from unittest.mock import AsyncMock, MagicMock, patch
 
 import pytest
-from llama_stack_api.apis.inference import (
+from llama_stack_api.inference import (
     OpenAIAssistantMessageParam,
     OpenAIUserMessageParam,
 )
-from llama_stack_api.apis.resource import ResourceType
-from llama_stack_api.apis.safety import RunShieldResponse, ViolationLevel
-from llama_stack_api.apis.shields import Shield
+from llama_stack_api.resource import ResourceType
+from llama_stack_api.safety import RunShieldResponse, ViolationLevel
+from llama_stack_api.shields import Shield
 
 from llama_stack.providers.remote.safety.nvidia.config import NVIDIASafetyConfig
 from llama_stack.providers.remote.safety.nvidia.nvidia import NVIDIASafetyAdapter

tests/unit/providers/nvidia/test_supervised_fine_tuning.py

@@ -9,7 +9,7 @@ import warnings
 from unittest.mock import patch
 
 import pytest
-from llama_stack_api.apis.post_training.post_training import (
+from llama_stack_api.post_training import (
     DataConfig,
     DatasetFormat,
     LoraFinetuningConfig,