impls -> inline, adapters -> remote (#381)

llama_stack/providers/inline/braintrust/scoring/braintrust.py

@@ -16,7 +16,7 @@ from llama_stack.apis.datasets import *  # noqa: F403
 from autoevals.llm import Factuality
 from autoevals.ragas import AnswerCorrectness
 from llama_stack.providers.datatypes import ScoringFunctionsProtocolPrivate
-from llama_stack.providers.impls.meta_reference.scoring.scoring_fn.common import (
+from llama_stack.providers.inline.meta_reference.scoring.scoring_fn.common import (
     aggregate_average,
 )
 

llama_stack/providers/inline/meta_reference/agents/tools/safety.py

@@ -9,7 +9,7 @@ from typing import List
 from llama_stack.apis.inference import Message
 from llama_stack.apis.safety import *  # noqa: F403
 
-from llama_stack.providers.impls.meta_reference.agents.safety import ShieldRunnerMixin
+from llama_stack.providers.inline.meta_reference.agents.safety import ShieldRunnerMixin
 
 from .builtin import BaseTool
 

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

@@ -27,7 +27,7 @@ from torchao.quantization.GPTQ import Int8DynActInt4WeightLinear
 
 from llama_stack.apis.inference import QuantizationType
 
-from llama_stack.providers.impls.meta_reference.inference.config import (
+from llama_stack.providers.inline.meta_reference.inference.config import (
     MetaReferenceQuantizedInferenceConfig,
 )
 

llama_stack/providers/inline/meta_reference/memory/tests/test_faiss.py

@@ -8,9 +8,9 @@ import tempfile
 
 import pytest
 from llama_stack.apis.memory import MemoryBankType, VectorMemoryBankDef
-from llama_stack.providers.impls.meta_reference.memory.config import FaissImplConfig
+from llama_stack.providers.inline.meta_reference.memory.config import FaissImplConfig
 
-from llama_stack.providers.impls.meta_reference.memory.faiss import FaissMemoryImpl
+from llama_stack.providers.inline.meta_reference.memory.faiss import FaissMemoryImpl
 from llama_stack.providers.utils.kvstore.config import SqliteKVStoreConfig
 
 

llama_stack/providers/inline/meta_reference/scoring/scoring.py

@@ -13,15 +13,15 @@ from llama_stack.apis.datasetio import *  # noqa: F403
 from llama_stack.apis.datasets import *  # noqa: F403
 from llama_stack.apis.inference.inference import Inference
 from llama_stack.providers.datatypes import ScoringFunctionsProtocolPrivate
-from llama_stack.providers.impls.meta_reference.scoring.scoring_fn.equality_scoring_fn import (
+from llama_stack.providers.inline.meta_reference.scoring.scoring_fn.equality_scoring_fn import (
     EqualityScoringFn,
 )
 
-from llama_stack.providers.impls.meta_reference.scoring.scoring_fn.llm_as_judge_scoring_fn import (
+from llama_stack.providers.inline.meta_reference.scoring.scoring_fn.llm_as_judge_scoring_fn import (
     LlmAsJudgeScoringFn,
 )
 
-from llama_stack.providers.impls.meta_reference.scoring.scoring_fn.subset_of_scoring_fn import (
+from llama_stack.providers.inline.meta_reference.scoring.scoring_fn.subset_of_scoring_fn import (
     SubsetOfScoringFn,
 )
 

llama_stack/providers/inline/meta_reference/scoring/scoring_fn/equality_scoring_fn.py

@@ -4,18 +4,18 @@
 # 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.impls.meta_reference.scoring.scoring_fn.base_scoring_fn import (
+from llama_stack.providers.inline.meta_reference.scoring.scoring_fn.base_scoring_fn import (
     BaseScoringFn,
 )
 from llama_stack.apis.scoring_functions import *  # noqa: F401, F403
 from llama_stack.apis.scoring import *  # noqa: F401, F403
 from llama_stack.apis.common.type_system import *  # noqa: F403
 
-from llama_stack.providers.impls.meta_reference.scoring.scoring_fn.common import (
+from llama_stack.providers.inline.meta_reference.scoring.scoring_fn.common import (
     aggregate_accuracy,
 )
 
-from llama_stack.providers.impls.meta_reference.scoring.scoring_fn.fn_defs.equality import (
+from llama_stack.providers.inline.meta_reference.scoring.scoring_fn.fn_defs.equality import (
     equality,
 )
 

llama_stack/providers/inline/meta_reference/scoring/scoring_fn/llm_as_judge_scoring_fn.py

@@ -4,7 +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.apis.inference.inference import Inference
-from llama_stack.providers.impls.meta_reference.scoring.scoring_fn.base_scoring_fn import (
+from llama_stack.providers.inline.meta_reference.scoring.scoring_fn.base_scoring_fn import (
     BaseScoringFn,
 )
 from llama_stack.apis.scoring_functions import *  # noqa: F401, F403
@@ -12,10 +12,10 @@ from llama_stack.apis.scoring import *  # noqa: F401, F403
 from llama_stack.apis.common.type_system import *  # noqa: F403
 import re
 
-from llama_stack.providers.impls.meta_reference.scoring.scoring_fn.common import (
+from llama_stack.providers.inline.meta_reference.scoring.scoring_fn.common import (
     aggregate_average,
 )
-from llama_stack.providers.impls.meta_reference.scoring.scoring_fn.fn_defs.llm_as_judge_8b_correctness import (
+from llama_stack.providers.inline.meta_reference.scoring.scoring_fn.fn_defs.llm_as_judge_8b_correctness import (
     llm_as_judge_8b_correctness,
 )
 

llama_stack/providers/inline/meta_reference/scoring/scoring_fn/subset_of_scoring_fn.py

@@ -4,17 +4,17 @@
 # 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.impls.meta_reference.scoring.scoring_fn.base_scoring_fn import (
+from llama_stack.providers.inline.meta_reference.scoring.scoring_fn.base_scoring_fn import (
     BaseScoringFn,
 )
 from llama_stack.apis.scoring_functions import *  # noqa: F401, F403
 from llama_stack.apis.scoring import *  # noqa: F401, F403
 from llama_stack.apis.common.type_system import *  # noqa: F403
-from llama_stack.providers.impls.meta_reference.scoring.scoring_fn.common import (
+from llama_stack.providers.inline.meta_reference.scoring.scoring_fn.common import (
     aggregate_accuracy,
 )
 
-from llama_stack.providers.impls.meta_reference.scoring.scoring_fn.fn_defs.subset_of import (
+from llama_stack.providers.inline.meta_reference.scoring.scoring_fn.fn_defs.subset_of import (
     subset_of,
 )
 

llama_stack/providers/registry/agents.py

@@ -22,8 +22,8 @@ def available_providers() -> List[ProviderSpec]:
                 "scikit-learn",
             ]
             + kvstore_dependencies(),
-            module="llama_stack.providers.impls.meta_reference.agents",
-            config_class="llama_stack.providers.impls.meta_reference.agents.MetaReferenceAgentsImplConfig",
+            module="llama_stack.providers.inline.meta_reference.agents",
+            config_class="llama_stack.providers.inline.meta_reference.agents.MetaReferenceAgentsImplConfig",
             api_dependencies=[
                 Api.inference,
                 Api.safety,
@@ -36,8 +36,8 @@ def available_providers() -> List[ProviderSpec]:
             adapter=AdapterSpec(
                 adapter_type="sample",
                 pip_packages=[],
-                module="llama_stack.providers.adapters.agents.sample",
-                config_class="llama_stack.providers.adapters.agents.sample.SampleConfig",
+                module="llama_stack.providers.remote.agents.sample",
+                config_class="llama_stack.providers.remote.agents.sample.SampleConfig",
             ),
         ),
     ]

llama_stack/providers/registry/datasetio.py

@@ -15,8 +15,8 @@ def available_providers() -> List[ProviderSpec]:
             api=Api.datasetio,
             provider_type="meta-reference",
             pip_packages=["pandas"],
-            module="llama_stack.providers.impls.meta_reference.datasetio",
-            config_class="llama_stack.providers.impls.meta_reference.datasetio.MetaReferenceDatasetIOConfig",
+            module="llama_stack.providers.inline.meta_reference.datasetio",
+            config_class="llama_stack.providers.inline.meta_reference.datasetio.MetaReferenceDatasetIOConfig",
             api_dependencies=[],
         ),
     ]

llama_stack/providers/registry/eval.py

@@ -15,8 +15,8 @@ def available_providers() -> List[ProviderSpec]:
             api=Api.eval,
             provider_type="meta-reference",
             pip_packages=[],
-            module="llama_stack.providers.impls.meta_reference.eval",
-            config_class="llama_stack.providers.impls.meta_reference.eval.MetaReferenceEvalConfig",
+            module="llama_stack.providers.inline.meta_reference.eval",
+            config_class="llama_stack.providers.inline.meta_reference.eval.MetaReferenceEvalConfig",
             api_dependencies=[
                 Api.datasetio,
                 Api.datasets,

llama_stack/providers/registry/inference.py

@@ -27,8 +27,8 @@ def available_providers() -> List[ProviderSpec]:
             api=Api.inference,
             provider_type="meta-reference",
             pip_packages=META_REFERENCE_DEPS,
-            module="llama_stack.providers.impls.meta_reference.inference",
-            config_class="llama_stack.providers.impls.meta_reference.inference.MetaReferenceInferenceConfig",
+            module="llama_stack.providers.inline.meta_reference.inference",
+            config_class="llama_stack.providers.inline.meta_reference.inference.MetaReferenceInferenceConfig",
         ),
         InlineProviderSpec(
             api=Api.inference,
@@ -40,16 +40,16 @@ def available_providers() -> List[ProviderSpec]:
                     "torchao==0.5.0",
                 ]
             ),
-            module="llama_stack.providers.impls.meta_reference.inference",
-            config_class="llama_stack.providers.impls.meta_reference.inference.MetaReferenceQuantizedInferenceConfig",
+            module="llama_stack.providers.inline.meta_reference.inference",
+            config_class="llama_stack.providers.inline.meta_reference.inference.MetaReferenceQuantizedInferenceConfig",
         ),
         remote_provider_spec(
             api=Api.inference,
             adapter=AdapterSpec(
                 adapter_type="sample",
                 pip_packages=[],
-                module="llama_stack.providers.adapters.inference.sample",
-                config_class="llama_stack.providers.adapters.inference.sample.SampleConfig",
+                module="llama_stack.providers.remote.inference.sample",
+                config_class="llama_stack.providers.remote.inference.sample.SampleConfig",
             ),
         ),
         remote_provider_spec(
@@ -57,8 +57,8 @@ def available_providers() -> List[ProviderSpec]:
             adapter=AdapterSpec(
                 adapter_type="ollama",
                 pip_packages=["ollama", "aiohttp"],
-                config_class="llama_stack.providers.adapters.inference.ollama.OllamaImplConfig",
-                module="llama_stack.providers.adapters.inference.ollama",
+                config_class="llama_stack.providers.remote.inference.ollama.OllamaImplConfig",
+                module="llama_stack.providers.remote.inference.ollama",
             ),
         ),
         remote_provider_spec(
@@ -66,8 +66,8 @@ def available_providers() -> List[ProviderSpec]:
             adapter=AdapterSpec(
                 adapter_type="vllm",
                 pip_packages=["openai"],
-                module="llama_stack.providers.adapters.inference.vllm",
-                config_class="llama_stack.providers.adapters.inference.vllm.VLLMInferenceAdapterConfig",
+                module="llama_stack.providers.remote.inference.vllm",
+                config_class="llama_stack.providers.remote.inference.vllm.VLLMInferenceAdapterConfig",
             ),
         ),
         remote_provider_spec(
@@ -75,8 +75,8 @@ def available_providers() -> List[ProviderSpec]:
             adapter=AdapterSpec(
                 adapter_type="tgi",
                 pip_packages=["huggingface_hub", "aiohttp"],
-                module="llama_stack.providers.adapters.inference.tgi",
-                config_class="llama_stack.providers.adapters.inference.tgi.TGIImplConfig",
+                module="llama_stack.providers.remote.inference.tgi",
+                config_class="llama_stack.providers.remote.inference.tgi.TGIImplConfig",
             ),
         ),
         remote_provider_spec(
@@ -84,8 +84,8 @@ def available_providers() -> List[ProviderSpec]:
             adapter=AdapterSpec(
                 adapter_type="hf::serverless",
                 pip_packages=["huggingface_hub", "aiohttp"],
-                module="llama_stack.providers.adapters.inference.tgi",
-                config_class="llama_stack.providers.adapters.inference.tgi.InferenceAPIImplConfig",
+                module="llama_stack.providers.remote.inference.tgi",
+                config_class="llama_stack.providers.remote.inference.tgi.InferenceAPIImplConfig",
             ),
         ),
         remote_provider_spec(
@@ -93,8 +93,8 @@ def available_providers() -> List[ProviderSpec]:
             adapter=AdapterSpec(
                 adapter_type="hf::endpoint",
                 pip_packages=["huggingface_hub", "aiohttp"],
-                module="llama_stack.providers.adapters.inference.tgi",
-                config_class="llama_stack.providers.adapters.inference.tgi.InferenceEndpointImplConfig",
+                module="llama_stack.providers.remote.inference.tgi",
+                config_class="llama_stack.providers.remote.inference.tgi.InferenceEndpointImplConfig",
             ),
         ),
         remote_provider_spec(
@@ -104,8 +104,8 @@ def available_providers() -> List[ProviderSpec]:
                 pip_packages=[
                     "fireworks-ai",
                 ],
-                module="llama_stack.providers.adapters.inference.fireworks",
-                config_class="llama_stack.providers.adapters.inference.fireworks.FireworksImplConfig",
+                module="llama_stack.providers.remote.inference.fireworks",
+                config_class="llama_stack.providers.remote.inference.fireworks.FireworksImplConfig",
             ),
         ),
         remote_provider_spec(
@@ -115,9 +115,9 @@ def available_providers() -> List[ProviderSpec]:
                 pip_packages=[
                     "together",
                 ],
-                module="llama_stack.providers.adapters.inference.together",
-                config_class="llama_stack.providers.adapters.inference.together.TogetherImplConfig",
-                provider_data_validator="llama_stack.providers.adapters.safety.together.TogetherProviderDataValidator",
+                module="llama_stack.providers.remote.inference.together",
+                config_class="llama_stack.providers.remote.inference.together.TogetherImplConfig",
+                provider_data_validator="llama_stack.providers.remote.safety.together.TogetherProviderDataValidator",
             ),
         ),
         remote_provider_spec(
@@ -125,8 +125,8 @@ def available_providers() -> List[ProviderSpec]:
             adapter=AdapterSpec(
                 adapter_type="bedrock",
                 pip_packages=["boto3"],
-                module="llama_stack.providers.adapters.inference.bedrock",
-                config_class="llama_stack.providers.adapters.inference.bedrock.BedrockConfig",
+                module="llama_stack.providers.remote.inference.bedrock",
+                config_class="llama_stack.providers.remote.inference.bedrock.BedrockConfig",
             ),
         ),
         remote_provider_spec(
@@ -136,8 +136,8 @@ def available_providers() -> List[ProviderSpec]:
                 pip_packages=[
                     "openai",
                 ],
-                module="llama_stack.providers.adapters.inference.databricks",
-                config_class="llama_stack.providers.adapters.inference.databricks.DatabricksImplConfig",
+                module="llama_stack.providers.remote.inference.databricks",
+                config_class="llama_stack.providers.remote.inference.databricks.DatabricksImplConfig",
             ),
         ),
         InlineProviderSpec(
@@ -146,7 +146,7 @@ def available_providers() -> List[ProviderSpec]:
             pip_packages=[
                 "vllm",
             ],
-            module="llama_stack.providers.impls.vllm",
-            config_class="llama_stack.providers.impls.vllm.VLLMConfig",
+            module="llama_stack.providers.inline.vllm",
+            config_class="llama_stack.providers.inline.vllm.VLLMConfig",
         ),
     ]

llama_stack/providers/registry/memory.py

@@ -36,15 +36,15 @@ def available_providers() -> List[ProviderSpec]:
             api=Api.memory,
             provider_type="meta-reference",
             pip_packages=EMBEDDING_DEPS + ["faiss-cpu"],
-            module="llama_stack.providers.impls.meta_reference.memory",
-            config_class="llama_stack.providers.impls.meta_reference.memory.FaissImplConfig",
+            module="llama_stack.providers.inline.meta_reference.memory",
+            config_class="llama_stack.providers.inline.meta_reference.memory.FaissImplConfig",
         ),
         remote_provider_spec(
             Api.memory,
             AdapterSpec(
                 adapter_type="chromadb",
                 pip_packages=EMBEDDING_DEPS + ["chromadb-client"],
-                module="llama_stack.providers.adapters.memory.chroma",
+                module="llama_stack.providers.remote.memory.chroma",
             ),
         ),
         remote_provider_spec(
@@ -52,8 +52,8 @@ def available_providers() -> List[ProviderSpec]:
             AdapterSpec(
                 adapter_type="pgvector",
                 pip_packages=EMBEDDING_DEPS + ["psycopg2-binary"],
-                module="llama_stack.providers.adapters.memory.pgvector",
-                config_class="llama_stack.providers.adapters.memory.pgvector.PGVectorConfig",
+                module="llama_stack.providers.remote.memory.pgvector",
+                config_class="llama_stack.providers.remote.memory.pgvector.PGVectorConfig",
             ),
         ),
         remote_provider_spec(
@@ -61,9 +61,9 @@ def available_providers() -> List[ProviderSpec]:
             AdapterSpec(
                 adapter_type="weaviate",
                 pip_packages=EMBEDDING_DEPS + ["weaviate-client"],
-                module="llama_stack.providers.adapters.memory.weaviate",
-                config_class="llama_stack.providers.adapters.memory.weaviate.WeaviateConfig",
-                provider_data_validator="llama_stack.providers.adapters.memory.weaviate.WeaviateRequestProviderData",
+                module="llama_stack.providers.remote.memory.weaviate",
+                config_class="llama_stack.providers.remote.memory.weaviate.WeaviateConfig",
+                provider_data_validator="llama_stack.providers.remote.memory.weaviate.WeaviateRequestProviderData",
             ),
         ),
         remote_provider_spec(
@@ -71,8 +71,8 @@ def available_providers() -> List[ProviderSpec]:
             adapter=AdapterSpec(
                 adapter_type="sample",
                 pip_packages=[],
-                module="llama_stack.providers.adapters.memory.sample",
-                config_class="llama_stack.providers.adapters.memory.sample.SampleConfig",
+                module="llama_stack.providers.remote.memory.sample",
+                config_class="llama_stack.providers.remote.memory.sample.SampleConfig",
             ),
         ),
         remote_provider_spec(
@@ -80,8 +80,8 @@ def available_providers() -> List[ProviderSpec]:
             AdapterSpec(
                 adapter_type="qdrant",
                 pip_packages=EMBEDDING_DEPS + ["qdrant-client"],
-                module="llama_stack.providers.adapters.memory.qdrant",
-                config_class="llama_stack.providers.adapters.memory.qdrant.QdrantConfig",
+                module="llama_stack.providers.remote.memory.qdrant",
+                config_class="llama_stack.providers.remote.memory.qdrant.QdrantConfig",
             ),
         ),
     ]

llama_stack/providers/registry/safety.py

@@ -24,8 +24,8 @@ def available_providers() -> List[ProviderSpec]:
                 "transformers",
                 "torch --index-url https://download.pytorch.org/whl/cpu",
             ],
-            module="llama_stack.providers.impls.meta_reference.safety",
-            config_class="llama_stack.providers.impls.meta_reference.safety.SafetyConfig",
+            module="llama_stack.providers.inline.meta_reference.safety",
+            config_class="llama_stack.providers.inline.meta_reference.safety.SafetyConfig",
             api_dependencies=[
                 Api.inference,
             ],
@@ -35,8 +35,8 @@ def available_providers() -> List[ProviderSpec]:
             adapter=AdapterSpec(
                 adapter_type="sample",
                 pip_packages=[],
-                module="llama_stack.providers.adapters.safety.sample",
-                config_class="llama_stack.providers.adapters.safety.sample.SampleConfig",
+                module="llama_stack.providers.remote.safety.sample",
+                config_class="llama_stack.providers.remote.safety.sample.SampleConfig",
             ),
         ),
         remote_provider_spec(
@@ -44,8 +44,8 @@ def available_providers() -> List[ProviderSpec]:
             adapter=AdapterSpec(
                 adapter_type="bedrock",
                 pip_packages=["boto3"],
-                module="llama_stack.providers.adapters.safety.bedrock",
-                config_class="llama_stack.providers.adapters.safety.bedrock.BedrockSafetyConfig",
+                module="llama_stack.providers.remote.safety.bedrock",
+                config_class="llama_stack.providers.remote.safety.bedrock.BedrockSafetyConfig",
             ),
         ),
         remote_provider_spec(
@@ -55,9 +55,9 @@ def available_providers() -> List[ProviderSpec]:
                 pip_packages=[
                     "together",
                 ],
-                module="llama_stack.providers.adapters.safety.together",
-                config_class="llama_stack.providers.adapters.safety.together.TogetherSafetyConfig",
-                provider_data_validator="llama_stack.providers.adapters.safety.together.TogetherProviderDataValidator",
+                module="llama_stack.providers.remote.safety.together",
+                config_class="llama_stack.providers.remote.safety.together.TogetherSafetyConfig",
+                provider_data_validator="llama_stack.providers.remote.safety.together.TogetherProviderDataValidator",
             ),
         ),
         InlineProviderSpec(
@@ -66,8 +66,8 @@ def available_providers() -> List[ProviderSpec]:
             pip_packages=[
                 "codeshield",
             ],
-            module="llama_stack.providers.impls.meta_reference.codeshield",
-            config_class="llama_stack.providers.impls.meta_reference.codeshield.CodeShieldConfig",
+            module="llama_stack.providers.inline.meta_reference.codeshield",
+            config_class="llama_stack.providers.inline.meta_reference.codeshield.CodeShieldConfig",
             api_dependencies=[],
         ),
     ]

llama_stack/providers/registry/scoring.py

@@ -15,8 +15,8 @@ def available_providers() -> List[ProviderSpec]:
             api=Api.scoring,
             provider_type="meta-reference",
             pip_packages=[],
-            module="llama_stack.providers.impls.meta_reference.scoring",
-            config_class="llama_stack.providers.impls.meta_reference.scoring.MetaReferenceScoringConfig",
+            module="llama_stack.providers.inline.meta_reference.scoring",
+            config_class="llama_stack.providers.inline.meta_reference.scoring.MetaReferenceScoringConfig",
             api_dependencies=[
                 Api.datasetio,
                 Api.datasets,
@@ -27,8 +27,8 @@ def available_providers() -> List[ProviderSpec]:
             api=Api.scoring,
             provider_type="braintrust",
             pip_packages=["autoevals", "openai"],
-            module="llama_stack.providers.impls.braintrust.scoring",
-            config_class="llama_stack.providers.impls.braintrust.scoring.BraintrustScoringConfig",
+            module="llama_stack.providers.inline.braintrust.scoring",
+            config_class="llama_stack.providers.inline.braintrust.scoring.BraintrustScoringConfig",
             api_dependencies=[
                 Api.datasetio,
                 Api.datasets,

llama_stack/providers/registry/telemetry.py

@@ -15,16 +15,16 @@ def available_providers() -> List[ProviderSpec]:
             api=Api.telemetry,
             provider_type="meta-reference",
             pip_packages=[],
-            module="llama_stack.providers.impls.meta_reference.telemetry",
-            config_class="llama_stack.providers.impls.meta_reference.telemetry.ConsoleConfig",
+            module="llama_stack.providers.inline.meta_reference.telemetry",
+            config_class="llama_stack.providers.inline.meta_reference.telemetry.ConsoleConfig",
         ),
         remote_provider_spec(
             api=Api.telemetry,
             adapter=AdapterSpec(
                 adapter_type="sample",
                 pip_packages=[],
-                module="llama_stack.providers.adapters.telemetry.sample",
-                config_class="llama_stack.providers.adapters.telemetry.sample.SampleConfig",
+                module="llama_stack.providers.remote.telemetry.sample",
+                config_class="llama_stack.providers.remote.telemetry.sample.SampleConfig",
             ),
         ),
         remote_provider_spec(
@@ -37,8 +37,8 @@ def available_providers() -> List[ProviderSpec]:
                     "opentelemetry-exporter-jaeger",
                     "opentelemetry-semantic-conventions",
                 ],
-                module="llama_stack.providers.adapters.telemetry.opentelemetry",
-                config_class="llama_stack.providers.adapters.telemetry.opentelemetry.OpenTelemetryConfig",
+                module="llama_stack.providers.remote.telemetry.opentelemetry",
+                config_class="llama_stack.providers.remote.telemetry.opentelemetry.OpenTelemetryConfig",
             ),
         ),
     ]