refactor(logging): rename llama_stack logger categories (#3065)

# What does this PR do?
<!-- Provide a short summary of what this PR does and why. Link to
relevant issues if applicable. -->
This PR renames categories of llama_stack loggers.

This PR aligns logging categories as per the package name, as well as
reviews from initial
https://github.com/meta-llama/llama-stack/pull/2868. This is a follow up
to #3061.

<!-- If resolving an issue, uncomment and update the line below -->
<!-- Closes #[issue-number] -->

Replaces https://github.com/meta-llama/llama-stack/pull/2868
Part of https://github.com/meta-llama/llama-stack/issues/2865

cc @leseb @rhuss

Signed-off-by: Mustafa Elbehery <melbeher@redhat.com>

llama_stack/cli/stack/run.py

@@ -15,7 +15,7 @@ from llama_stack.log import get_logger
 
 REPO_ROOT = Path(__file__).parent.parent.parent.parent
 
-logger = get_logger(name=__name__, category="server")
+logger = get_logger(name=__name__, category="cli")
 
 
 class StackRun(Subcommand):

llama_stack/core/routers/datasets.py

@@ -12,7 +12,7 @@ from llama_stack.apis.datasets import DatasetPurpose, DataSource
 from llama_stack.log import get_logger
 from llama_stack.providers.datatypes import RoutingTable
 
-logger = get_logger(name=__name__, category="core")
+logger = get_logger(name=__name__, category="core::routers")
 
 
 class DatasetIORouter(DatasetIO):

llama_stack/core/routers/eval_scoring.py

@@ -16,7 +16,7 @@ from llama_stack.apis.scoring import (
 from llama_stack.log import get_logger
 from llama_stack.providers.datatypes import RoutingTable
 
-logger = get_logger(name=__name__, category="core")
+logger = get_logger(name=__name__, category="core::routers")
 
 
 class ScoringRouter(Scoring):

llama_stack/core/routers/inference.py

@@ -65,7 +65,7 @@ from llama_stack.providers.datatypes import HealthResponse, HealthStatus, Routin
 from llama_stack.providers.utils.inference.inference_store import InferenceStore
 from llama_stack.providers.utils.telemetry.tracing import get_current_span
 
-logger = get_logger(name=__name__, category="inference")
+logger = get_logger(name=__name__, category="core::routers")
 
 
 class InferenceRouter(Inference):

llama_stack/core/routers/safety.py

@@ -13,7 +13,7 @@ from llama_stack.apis.shields import Shield
 from llama_stack.log import get_logger
 from llama_stack.providers.datatypes import RoutingTable
 
-logger = get_logger(name=__name__, category="core")
+logger = get_logger(name=__name__, category="core::routers")
 
 
 class SafetyRouter(Safety):

llama_stack/core/routers/tool_runtime.py

@@ -22,7 +22,7 @@ from llama_stack.log import get_logger
 
 from ..routing_tables.toolgroups import ToolGroupsRoutingTable
 
-logger = get_logger(name=__name__, category="core")
+logger = get_logger(name=__name__, category="core::routers")
 
 
 class ToolRuntimeRouter(ToolRuntime):

llama_stack/core/routers/vector_io.py

@@ -30,7 +30,7 @@ from llama_stack.apis.vector_io import (
 from llama_stack.log import get_logger
 from llama_stack.providers.datatypes import HealthResponse, HealthStatus, RoutingTable
 
-logger = get_logger(name=__name__, category="core")
+logger = get_logger(name=__name__, category="core::routers")
 
 
 class VectorIORouter(VectorIO):

llama_stack/core/routing_tables/benchmarks.py

@@ -14,7 +14,7 @@ from llama_stack.log import get_logger
 
 from .common import CommonRoutingTableImpl
 
-logger = get_logger(name=__name__, category="core")
+logger = get_logger(name=__name__, category="core::routing_tables")
 
 
 class BenchmarksRoutingTable(CommonRoutingTableImpl, Benchmarks):

llama_stack/core/routing_tables/common.py

@@ -23,7 +23,7 @@ from llama_stack.core.store import DistributionRegistry
 from llama_stack.log import get_logger
 from llama_stack.providers.datatypes import Api, RoutingTable
 
-logger = get_logger(name=__name__, category="core")
+logger = get_logger(name=__name__, category="core::routing_tables")
 
 
 def get_impl_api(p: Any) -> Api:

llama_stack/core/routing_tables/datasets.py

@@ -26,7 +26,7 @@ from llama_stack.log import get_logger
 
 from .common import CommonRoutingTableImpl
 
-logger = get_logger(name=__name__, category="core")
+logger = get_logger(name=__name__, category="core::routing_tables")
 
 
 class DatasetsRoutingTable(CommonRoutingTableImpl, Datasets):

llama_stack/core/routing_tables/models.py

@@ -17,7 +17,7 @@ from llama_stack.log import get_logger
 
 from .common import CommonRoutingTableImpl, lookup_model
 
-logger = get_logger(name=__name__, category="core")
+logger = get_logger(name=__name__, category="core::routing_tables")
 
 
 class ModelsRoutingTable(CommonRoutingTableImpl, Models):

llama_stack/core/routing_tables/scoring_functions.py

@@ -19,7 +19,7 @@ from llama_stack.log import get_logger
 
 from .common import CommonRoutingTableImpl
 
-logger = get_logger(name=__name__, category="core")
+logger = get_logger(name=__name__, category="core::routing_tables")
 
 
 class ScoringFunctionsRoutingTable(CommonRoutingTableImpl, ScoringFunctions):

llama_stack/core/routing_tables/shields.py

@@ -15,7 +15,7 @@ from llama_stack.log import get_logger
 
 from .common import CommonRoutingTableImpl
 
-logger = get_logger(name=__name__, category="core")
+logger = get_logger(name=__name__, category="core::routing_tables")
 
 
 class ShieldsRoutingTable(CommonRoutingTableImpl, Shields):

llama_stack/core/routing_tables/toolgroups.py

@@ -14,7 +14,7 @@ from llama_stack.log import get_logger
 
 from .common import CommonRoutingTableImpl
 
-logger = get_logger(name=__name__, category="core")
+logger = get_logger(name=__name__, category="core::routing_tables")
 
 
 def parse_toolgroup_from_toolgroup_name_pair(toolgroup_name_with_maybe_tool_name: str) -> str | None:

llama_stack/core/routing_tables/vector_dbs.py

@@ -30,7 +30,7 @@ from llama_stack.log import get_logger
 
 from .common import CommonRoutingTableImpl, lookup_model
 
-logger = get_logger(name=__name__, category="core")
+logger = get_logger(name=__name__, category="core::routing_tables")
 
 
 class VectorDBsRoutingTable(CommonRoutingTableImpl, VectorDBs):

llama_stack/core/server/auth.py

@@ -15,7 +15,7 @@ from llama_stack.core.server.auth_providers import create_auth_provider
 from llama_stack.core.server.routes import find_matching_route, initialize_route_impls
 from llama_stack.log import get_logger
 
-logger = get_logger(name=__name__, category="auth")
+logger = get_logger(name=__name__, category="core::auth")
 
 
 class AuthenticationMiddleware:

llama_stack/core/server/auth_providers.py

@@ -23,7 +23,7 @@ from llama_stack.core.datatypes import (
 )
 from llama_stack.log import get_logger
 
-logger = get_logger(name=__name__, category="auth")
+logger = get_logger(name=__name__, category="core::auth")
 
 
 class AuthResponse(BaseModel):

llama_stack/core/server/quota.py

@@ -15,7 +15,7 @@ from llama_stack.providers.utils.kvstore.api import KVStore
 from llama_stack.providers.utils.kvstore.config import KVStoreConfig, SqliteKVStoreConfig
 from llama_stack.providers.utils.kvstore.kvstore import kvstore_impl
 
-logger = get_logger(name=__name__, category="quota")
+logger = get_logger(name=__name__, category="core::server")
 
 
 class QuotaMiddleware:

llama_stack/core/server/server.py

@@ -84,7 +84,7 @@ from .quota import QuotaMiddleware
 
 REPO_ROOT = Path(__file__).parent.parent.parent.parent
 
-logger = get_logger(name=__name__, category="server")
+logger = get_logger(name=__name__, category="core::server")
 
 
 def warn_with_traceback(message, category, filename, lineno, file=None, line=None):
@@ -415,7 +415,7 @@ def main(args: argparse.Namespace | None = None):
         config_contents = yaml.safe_load(fp)
         if isinstance(config_contents, dict) and (cfg := config_contents.get("logging_config")):
             logger_config = LoggingConfig(**cfg)
-        logger = get_logger(name=__name__, category="server", config=logger_config)
+        logger = get_logger(name=__name__, category="core::server", config=logger_config)
         if args.env:
             for env_pair in args.env:
                 try:

llama_stack/core/store/registry.py

@@ -16,7 +16,7 @@ from llama_stack.log import get_logger
 from llama_stack.providers.utils.kvstore import KVStore, kvstore_impl
 from llama_stack.providers.utils.kvstore.config import KVStoreConfig, SqliteKVStoreConfig
 
-logger = get_logger(__name__, category="core")
+logger = get_logger(__name__, category="core::registry")
 
 
 class DistributionRegistry(Protocol):

llama_stack/core/utils/config_resolution.py

@@ -10,7 +10,7 @@ from pathlib import Path
 from llama_stack.core.utils.config_dirs import DISTRIBS_BASE_DIR
 from llama_stack.log import get_logger
 
-logger = get_logger(name=__name__, category="config_resolution")
+logger = get_logger(name=__name__, category="core")
 
 
 DISTRO_DIR = Path(__file__).parent.parent.parent.parent / "llama_stack" / "distributions"

llama_stack/models/llama/llama3/multimodal/model.py

@@ -36,7 +36,7 @@ from .utils import get_negative_inf_value, to_2tuple
 
 MP_SCALE = 8
 
-logger = get_logger(name=__name__, category="models")
+logger = get_logger(name=__name__, category="models::llama")
 
 
 def reduce_from_tensor_model_parallel_region(input_):

llama_stack/models/llama/llama3/tool_utils.py

@@ -11,7 +11,7 @@ from llama_stack.log import get_logger
 
 from ..datatypes import BuiltinTool, RecursiveType, ToolCall, ToolPromptFormat
 
-logger = get_logger(name=__name__, category="inference")
+logger = get_logger(name=__name__, category="models::llama")
 
 BUILTIN_TOOL_PATTERN = r'\b(?P<tool_name>\w+)\.call\(query="(?P<query>[^"]*)"\)'
 CUSTOM_TOOL_CALL_PATTERN = re.compile(r"<function=(?P<function_name>[^}]+)>(?P<args>{.*?})")

llama_stack/models/llama/llama4/quantization/loader.py

@@ -18,7 +18,7 @@ from ...datatypes import QuantizationMode
 from ..model import Transformer, TransformerBlock
 from ..moe import MoE
 
-log = get_logger(name=__name__, category="models")
+log = get_logger(name=__name__, category="models::llama")
 
 
 def swiglu_wrapper_no_reduce(

llama_stack/models/llama/quantize_impls.py

@@ -9,7 +9,7 @@ import collections
 
 from llama_stack.log import get_logger
 
-log = get_logger(name=__name__, category="llama")
+log = get_logger(name=__name__, category="models::llama")
 
 try:
     import fbgemm_gpu.experimental.gen_ai  # noqa: F401

llama_stack/providers/inline/agents/meta_reference/agent_instance.py

@@ -84,7 +84,7 @@ MEMORY_QUERY_TOOL = "knowledge_search"
 WEB_SEARCH_TOOL = "web_search"
 RAG_TOOL_GROUP = "builtin::rag"
 
-logger = get_logger(name=__name__, category="agents")
+logger = get_logger(name=__name__, category="agents::meta_reference")
 
 
 class ChatAgent(ShieldRunnerMixin):

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

@@ -51,7 +51,7 @@ from .config import MetaReferenceAgentsImplConfig
 from .persistence import AgentInfo
 from .responses.openai_responses import OpenAIResponsesImpl
 
-logger = get_logger(name=__name__, category="agents")
+logger = get_logger(name=__name__, category="agents::meta_reference")
 
 
 class MetaReferenceAgentsImpl(Agents):

llama_stack/providers/inline/agents/meta_reference/persistence.py

@@ -17,7 +17,7 @@ from llama_stack.core.request_headers import get_authenticated_user
 from llama_stack.log import get_logger
 from llama_stack.providers.utils.kvstore import KVStore
 
-log = get_logger(name=__name__, category="agents")
+log = get_logger(name=__name__, category="agents::meta_reference")
 
 
 class AgentSessionInfo(Session):

llama_stack/providers/inline/agents/meta_reference/responses/openai_responses.py

@@ -41,7 +41,7 @@ from .utils import (
     convert_response_text_to_chat_response_format,
 )
 
-logger = get_logger(name=__name__, category="responses")
+logger = get_logger(name=__name__, category="openai::responses")
 
 
 class OpenAIResponsePreviousResponseWithInputItems(BaseModel):

llama_stack/providers/inline/agents/meta_reference/responses/streaming.py

@@ -47,7 +47,7 @@ from llama_stack.log import get_logger
 from .types import ChatCompletionContext, ChatCompletionResult
 from .utils import convert_chat_choice_to_response_message, is_function_tool_call
 
-logger = get_logger(name=__name__, category="responses")
+logger = get_logger(name=__name__, category="agents::meta_reference")
 
 
 class StreamingResponseOrchestrator:

llama_stack/providers/inline/agents/meta_reference/responses/tool_executor.py

@@ -38,7 +38,7 @@ from llama_stack.log import get_logger
 
 from .types import ChatCompletionContext, ToolExecutionResult
 
-logger = get_logger(name=__name__, category="responses")
+logger = get_logger(name=__name__, category="agents::meta_reference")
 
 
 class ToolExecutor:

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

@@ -11,7 +11,7 @@ from llama_stack.apis.safety import Safety, SafetyViolation, ViolationLevel
 from llama_stack.log import get_logger
 from llama_stack.providers.utils.telemetry import tracing
 
-log = get_logger(name=__name__, category="agents")
+log = get_logger(name=__name__, category="agents::meta_reference")
 
 
 class SafetyException(Exception):  # noqa: N818

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

@@ -65,7 +65,7 @@ from llama_stack.providers.utils.inference.prompt_adapter import (
 from .config import FireworksImplConfig
 from .models import MODEL_ENTRIES
 
-logger = get_logger(name=__name__, category="inference")
+logger = get_logger(name=__name__, category="inference::fireworks")
 
 
 class FireworksInferenceAdapter(ModelRegistryHelper, Inference, NeedsRequestProviderData):

llama_stack/providers/remote/inference/llama_openai_compat/llama.py

@@ -10,7 +10,7 @@ from llama_stack.providers.utils.inference.openai_mixin import OpenAIMixin
 
 from .models import MODEL_ENTRIES
 
-logger = get_logger(name=__name__, category="inference")
+logger = get_logger(name=__name__, category="inference::llama_openai_compat")
 
 
 class LlamaCompatInferenceAdapter(OpenAIMixin, LiteLLMOpenAIMixin):

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

@@ -57,7 +57,7 @@ from .openai_utils import (
 )
 from .utils import _is_nvidia_hosted
 
-logger = get_logger(name=__name__, category="inference")
+logger = get_logger(name=__name__, category="inference::nvidia")
 
 
 class NVIDIAInferenceAdapter(OpenAIMixin, Inference, ModelRegistryHelper):

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

@@ -10,7 +10,7 @@ from llama_stack.log import get_logger
 
 from . import NVIDIAConfig
 
-logger = get_logger(name=__name__, category="inference")
+logger = get_logger(name=__name__, category="inference::nvidia")
 
 
 def _is_nvidia_hosted(config: NVIDIAConfig) -> bool:

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

@@ -85,7 +85,7 @@ from llama_stack.providers.utils.inference.prompt_adapter import (
 
 from .models import MODEL_ENTRIES
 
-logger = get_logger(name=__name__, category="inference")
+logger = get_logger(name=__name__, category="inference::ollama")
 
 
 class OllamaInferenceAdapter(

llama_stack/providers/remote/inference/openai/openai.py

@@ -11,7 +11,7 @@ from llama_stack.providers.utils.inference.openai_mixin import OpenAIMixin
 from .config import OpenAIConfig
 from .models import MODEL_ENTRIES
 
-logger = get_logger(name=__name__, category="inference")
+logger = get_logger(name=__name__, category="inference::openai")
 
 
 #

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

@@ -58,7 +58,7 @@ from llama_stack.providers.utils.inference.prompt_adapter import (
 
 from .config import InferenceAPIImplConfig, InferenceEndpointImplConfig, TGIImplConfig
 
-log = get_logger(name=__name__, category="inference")
+log = get_logger(name=__name__, category="inference::tgi")
 
 
 def build_hf_repo_model_entries():

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

@@ -61,7 +61,7 @@ from llama_stack.providers.utils.inference.prompt_adapter import (
 from .config import TogetherImplConfig
 from .models import MODEL_ENTRIES
 
-logger = get_logger(name=__name__, category="inference")
+logger = get_logger(name=__name__, category="inference::together")
 
 
 class TogetherInferenceAdapter(ModelRegistryHelper, Inference, NeedsRequestProviderData):

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

@@ -85,7 +85,7 @@ from llama_stack.providers.utils.inference.prompt_adapter import (
 
 from .config import VLLMInferenceAdapterConfig
 
-log = get_logger(name=__name__, category="inference")
+log = get_logger(name=__name__, category="inference::vllm")
 
 
 def build_hf_repo_model_entries():

llama_stack/providers/remote/post_training/nvidia/utils.py

@@ -15,7 +15,7 @@ from llama_stack.providers.remote.post_training.nvidia.config import SFTLoRADefa
 
 from .config import NvidiaPostTrainingConfig
 
-logger = get_logger(name=__name__, category="integration")
+logger = get_logger(name=__name__, category="post_training::nvidia")
 
 
 def warn_unsupported_params(config_dict: Any, supported_keys: set[str], config_name: str) -> None:

llama_stack/providers/remote/safety/bedrock/bedrock.py

@@ -21,7 +21,7 @@ from llama_stack.providers.utils.bedrock.client import create_bedrock_client
 
 from .config import BedrockSafetyConfig
 
-logger = get_logger(name=__name__, category="safety")
+logger = get_logger(name=__name__, category="safety::bedrock")
 
 
 class BedrockSafetyAdapter(Safety, ShieldsProtocolPrivate):

llama_stack/providers/remote/safety/nvidia/nvidia.py

@@ -17,7 +17,7 @@ from llama_stack.providers.utils.inference.openai_compat import convert_message_
 
 from .config import NVIDIASafetyConfig
 
-logger = get_logger(name=__name__, category="safety")
+logger = get_logger(name=__name__, category="safety::nvidia")
 
 
 class NVIDIASafetyAdapter(Safety, ShieldsProtocolPrivate):

llama_stack/providers/remote/safety/sambanova/sambanova.py

@@ -25,7 +25,7 @@ from llama_stack.providers.utils.inference.openai_compat import convert_message_
 
 from .config import SambaNovaSafetyConfig
 
-logger = get_logger(name=__name__, category="safety")
+logger = get_logger(name=__name__, category="safety::sambanova")
 
 CANNED_RESPONSE_TEXT = "I can't answer that. Can I help with something else?"
 

llama_stack/providers/remote/vector_io/chroma/chroma.py

@@ -33,7 +33,7 @@ from llama_stack.providers.utils.memory.vector_store import (
 
 from .config import ChromaVectorIOConfig as RemoteChromaVectorIOConfig
 
-log = get_logger(name=__name__, category="vector_io")
+log = get_logger(name=__name__, category="vector_io::chroma")
 
 ChromaClientType = chromadb.api.AsyncClientAPI | chromadb.api.ClientAPI
 

llama_stack/providers/remote/vector_io/milvus/milvus.py

@@ -36,7 +36,7 @@ from llama_stack.providers.utils.vector_io.vector_utils import sanitize_collecti
 
 from .config import MilvusVectorIOConfig as RemoteMilvusVectorIOConfig
 
-logger = get_logger(name=__name__, category="vector_io")
+logger = get_logger(name=__name__, category="vector_io::milvus")
 
 VERSION = "v3"
 VECTOR_DBS_PREFIX = f"vector_dbs:milvus:{VERSION}::"

llama_stack/providers/remote/vector_io/pgvector/pgvector.py

@@ -34,7 +34,7 @@ from llama_stack.providers.utils.memory.vector_store import (
 
 from .config import PGVectorVectorIOConfig
 
-log = get_logger(name=__name__, category="vector_io")
+log = get_logger(name=__name__, category="vector_io::pgvector")
 
 VERSION = "v3"
 VECTOR_DBS_PREFIX = f"vector_dbs:pgvector:{VERSION}::"

llama_stack/providers/remote/vector_io/qdrant/qdrant.py

@@ -36,7 +36,7 @@ from llama_stack.providers.utils.memory.vector_store import (
 
 from .config import QdrantVectorIOConfig as RemoteQdrantVectorIOConfig
 
-log = get_logger(name=__name__, category="vector_io")
+log = get_logger(name=__name__, category="vector_io::qdrant")
 CHUNK_ID_KEY = "_chunk_id"
 
 # KV store prefixes for vector databases

llama_stack/providers/remote/vector_io/weaviate/weaviate.py

@@ -34,7 +34,7 @@ from llama_stack.providers.utils.vector_io.vector_utils import sanitize_collecti
 
 from .config import WeaviateVectorIOConfig
 
-log = get_logger(name=__name__, category="vector_io")
+log = get_logger(name=__name__, category="vector_io::weaviate")
 
 VERSION = "v3"
 VECTOR_DBS_PREFIX = f"vector_dbs:weaviate:{VERSION}::"

llama_stack/providers/utils/inference/embedding_mixin.py

@@ -28,7 +28,7 @@ from llama_stack.providers.utils.inference.prompt_adapter import interleaved_con
 EMBEDDING_MODELS = {}
 
 
-log = get_logger(name=__name__, category="inference")
+log = get_logger(name=__name__, category="providers::utils")
 
 
 class SentenceTransformerEmbeddingMixin:

llama_stack/providers/utils/inference/litellm_openai_mixin.py

@@ -54,7 +54,7 @@ from llama_stack.providers.utils.inference.prompt_adapter import (
     interleaved_content_as_str,
 )
 
-logger = get_logger(name=__name__, category="inference")
+logger = get_logger(name=__name__, category="providers::utils")
 
 
 class LiteLLMOpenAIMixin(

llama_stack/providers/utils/inference/model_registry.py

@@ -17,7 +17,7 @@ from llama_stack.providers.utils.inference import (
     ALL_HUGGINGFACE_REPOS_TO_MODEL_DESCRIPTOR,
 )
 
-logger = get_logger(name=__name__, category="core")
+logger = get_logger(name=__name__, category="providers::utils")
 
 
 class RemoteInferenceProviderConfig(BaseModel):

llama_stack/providers/utils/inference/openai_compat.py

@@ -134,7 +134,7 @@ from llama_stack.providers.utils.inference.prompt_adapter import (
     decode_assistant_message,
 )
 
-logger = get_logger(name=__name__, category="inference")
+logger = get_logger(name=__name__, category="providers::utils")
 
 
 class OpenAICompatCompletionChoiceDelta(BaseModel):

llama_stack/providers/utils/inference/openai_mixin.py

@@ -25,7 +25,7 @@ from llama_stack.apis.inference import (
 from llama_stack.log import get_logger
 from llama_stack.providers.utils.inference.openai_compat import prepare_openai_completion_params
 
-logger = get_logger(name=__name__, category="core")
+logger = get_logger(name=__name__, category="providers::utils")
 
 
 class OpenAIMixin(ABC):

llama_stack/providers/utils/inference/prompt_adapter.py

@@ -58,7 +58,7 @@ from llama_stack.models.llama.sku_list import resolve_model
 from llama_stack.models.llama.sku_types import ModelFamily, is_multimodal
 from llama_stack.providers.utils.inference import supported_inference_models
 
-log = get_logger(name=__name__, category="inference")
+log = get_logger(name=__name__, category="providers::utils")
 
 
 class ChatCompletionRequestWithRawContent(ChatCompletionRequest):

llama_stack/providers/utils/kvstore/mongodb/mongodb.py

@@ -13,7 +13,7 @@ from llama_stack.providers.utils.kvstore import KVStore
 
 from ..config import MongoDBKVStoreConfig
 
-log = get_logger(name=__name__, category="kvstore")
+log = get_logger(name=__name__, category="providers::utils")
 
 
 class MongoDBKVStoreImpl(KVStore):

llama_stack/providers/utils/kvstore/postgres/postgres.py

@@ -14,7 +14,7 @@ from llama_stack.log import get_logger
 from ..api import KVStore
 from ..config import PostgresKVStoreConfig
 
-log = get_logger(name=__name__, category="kvstore")
+log = get_logger(name=__name__, category="providers::utils")
 
 
 class PostgresKVStoreImpl(KVStore):

llama_stack/providers/utils/memory/openai_vector_store_mixin.py

@@ -44,7 +44,7 @@ from llama_stack.providers.utils.memory.vector_store import (
     make_overlapped_chunks,
 )
 
-logger = get_logger(name=__name__, category="memory")
+logger = get_logger(name=__name__, category="providers::utils")
 
 # Constants for OpenAI vector stores
 CHUNK_MULTIPLIER = 5

llama_stack/providers/utils/memory/vector_store.py

@@ -33,7 +33,7 @@ from llama_stack.providers.utils.inference.prompt_adapter import (
 )
 from llama_stack.providers.utils.vector_io.vector_utils import generate_chunk_id
 
-log = get_logger(name=__name__, category="memory")
+log = get_logger(name=__name__, category="providers::utils")
 
 
 class ChunkForDeletion(BaseModel):

llama_stack/providers/utils/scheduler.py

@@ -17,7 +17,7 @@ from pydantic import BaseModel
 
 from llama_stack.log import get_logger
 
-logger = get_logger(name=__name__, category="scheduler")
+logger = get_logger(name=__name__, category="providers::utils")
 
 
 # TODO: revisit the list of possible statuses when defining a more coherent

llama_stack/providers/utils/sqlstore/authorized_sqlstore.py

@@ -17,7 +17,7 @@ from llama_stack.log import get_logger
 from .api import ColumnDefinition, ColumnType, PaginatedResponse, SqlStore
 from .sqlstore import SqlStoreType
 
-logger = get_logger(name=__name__, category="authorized_sqlstore")
+logger = get_logger(name=__name__, category="providers::utils")
 
 # Hardcoded copy of the default policy that our SQL filtering implements
 # WARNING: If default_policy() changes, this constant must be updated accordingly

llama_stack/providers/utils/sqlstore/sqlalchemy_sqlstore.py

@@ -30,7 +30,7 @@ from llama_stack.log import get_logger
 from .api import ColumnDefinition, ColumnType, SqlStore
 from .sqlstore import SqlAlchemySqlStoreConfig
 
-logger = get_logger(name=__name__, category="sqlstore")
+logger = get_logger(name=__name__, category="providers::utils")
 
 TYPE_MAPPING: dict[ColumnType, Any] = {
     ColumnType.INTEGER: Integer,