chore: replace use llama_stack logger

llama_stack/core/build.py

@@ -5,7 +5,6 @@
 # the root directory of this source tree.
 
 import importlib.resources
-import logging
 import sys
 
 from pydantic import BaseModel
@@ -17,9 +16,10 @@
 from llama_stack.core.utils.exec import run_command
 from llama_stack.core.utils.image_types import LlamaStackImageType
 from llama_stack.distributions.template import DistributionTemplate
+from llama_stack.log import get_logger
 from llama_stack.providers.datatypes import Api
 
-log = logging.getLogger(__name__)
+log = get_logger(name=__name__, category="core")
 
 # These are the dependencies needed by the distribution server.
 # `llama-stack` is automatically installed by the installation script.

llama_stack/core/configure.py

@@ -3,7 +3,6 @@
 #
 # This source code is licensed under the terms described in the LICENSE file in
 # the root directory of this source tree.
-import logging
 import textwrap
 from typing import Any
 
@@ -21,9 +20,10 @@
 from llama_stack.core.utils.config_dirs import EXTERNAL_PROVIDERS_DIR
 from llama_stack.core.utils.dynamic import instantiate_class_type
 from llama_stack.core.utils.prompt_for_config import prompt_for_config
+from llama_stack.log import get_logger
 from llama_stack.providers.datatypes import Api, ProviderSpec
 
-logger = logging.getLogger(__name__)
+logger = get_logger(name=__name__, category="core")
 
 
 def configure_single_provider(registry: dict[str, ProviderSpec], provider: Provider) -> Provider:

llama_stack/core/library_client.py

@@ -48,14 +48,15 @@
 from llama_stack.core.utils.config import redact_sensitive_fields
 from llama_stack.core.utils.context import preserve_contexts_async_generator
 from llama_stack.core.utils.exec import in_notebook
+from llama_stack.log import get_logger
 from llama_stack.providers.utils.telemetry.tracing import (
     CURRENT_TRACE_CONTEXT,
     end_trace,
     setup_logger,
     start_trace,
 )
 
-logger = logging.getLogger(__name__)
+logger = get_logger(name=__name__, category="core")
 
 T = TypeVar("T")
 

llama_stack/core/request_headers.py

@@ -6,15 +6,15 @@
 
 import contextvars
 import json
-import logging
 from contextlib import AbstractContextManager
 from typing import Any
 
 from llama_stack.core.datatypes import User
+from llama_stack.log import get_logger
 
 from .utils.dynamic import instantiate_class_type
 
-log = logging.getLogger(__name__)
+log = get_logger(name=__name__, category="core")
 
 # Context variable for request provider data and auth attributes
 PROVIDER_DATA_VAR = contextvars.ContextVar("provider_data", default=None)

llama_stack/core/utils/exec.py

@@ -4,15 +4,16 @@
 # This source code is licensed under the terms described in the LICENSE file in
 # the root directory of this source tree.
 
-import logging
 import os
 import signal
 import subprocess
 import sys
 
 from termcolor import cprint
 
-log = logging.getLogger(__name__)
+from llama_stack.log import get_logger
+
+log = get_logger(name=__name__, category="core")
 
 import importlib
 

llama_stack/core/utils/prompt_for_config.py

@@ -6,15 +6,16 @@
 
 import inspect
 import json
-import logging
 from enum import Enum
 from typing import Annotated, Any, Literal, Union, get_args, get_origin
 
 from pydantic import BaseModel
 from pydantic.fields import FieldInfo
 from pydantic_core import PydanticUndefinedType
 
-log = logging.getLogger(__name__)
+from llama_stack.log import get_logger
+
+log = get_logger(name=__name__, category="core")
 
 
 def is_list_of_primitives(field_type):

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

@@ -3,8 +3,6 @@
 #
 # This source code is licensed under the terms described in the LICENSE file in
 # the root directory of this source tree.
-
-import logging
 import math
 from collections.abc import Callable
 from functools import partial
@@ -22,6 +20,8 @@
 from torch import Tensor, nn
 from torch.distributed import _functional_collectives as funcol
 
+from llama_stack.log import get_logger
+
 from ..model import ModelArgs, RMSNorm, apply_rotary_emb, precompute_freqs_cis
 from .encoder_utils import (
     build_encoder_attention_mask,
@@ -34,9 +34,10 @@
 from .image_transform import VariableSizeImageTransform
 from .utils import get_negative_inf_value, to_2tuple
 
-logger = logging.getLogger(__name__)
 MP_SCALE = 8
 
+logger = get_logger(name=__name__, category="models")
+
 
 def reduce_from_tensor_model_parallel_region(input_):
     """All-reduce the input tensor across model parallel group."""
@@ -771,7 +772,7 @@ def load_hook(
         if embed is not None:
             # reshape the weights to the correct shape
             nt_old, nt_old, _, w = embed.shape
-            logging.info(f"Resizing tile embedding from {nt_old}x{nt_old} to {self.num_tiles}x{self.num_tiles}")
+            logger.info(f"Resizing tile embedding from {nt_old}x{nt_old} to {self.num_tiles}x{self.num_tiles}")
             embed_new = TilePositionEmbedding._dynamic_resize(embed, self.num_tiles)
             # assign the weights to the module
             state_dict[prefix + "embedding"] = embed_new

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

@@ -4,7 +4,6 @@
 # This source code is licensed under the terms described in the LICENSE file in
 # the root directory of this source tree.
 
-import logging
 import os
 from collections.abc import Callable
 
@@ -13,11 +12,13 @@
 from torch import Tensor, nn
 from torch.nn import functional as F
 
+from llama_stack.log import get_logger
+
 from ...datatypes import QuantizationMode
 from ..model import Transformer, TransformerBlock
 from ..moe import MoE
 
-log = logging.getLogger(__name__)
+log = get_logger(name=__name__, category="models")
 
 
 def swiglu_wrapper_no_reduce(

llama_stack/models/llama/quantize_impls.py

@@ -6,9 +6,10 @@
 
 # type: ignore
 import collections
-import logging
 
-log = logging.getLogger(__name__)
+from llama_stack.log import get_logger
+
+log = get_logger(name=__name__, category="llama")
 
 try:
     import fbgemm_gpu.experimental.gen_ai  # noqa: F401

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

@@ -4,7 +4,6 @@
 # This source code is licensed under the terms described in the LICENSE file in
 # the root directory of this source tree.
 
-import logging
 import uuid
 from collections.abc import AsyncGenerator
 from datetime import UTC, datetime
@@ -42,6 +41,7 @@
 from llama_stack.apis.tools import ToolGroups, ToolRuntime
 from llama_stack.apis.vector_io import VectorIO
 from llama_stack.core.datatypes import AccessRule
+from llama_stack.log import get_logger
 from llama_stack.providers.utils.kvstore import InmemoryKVStoreImpl, kvstore_impl
 from llama_stack.providers.utils.pagination import paginate_records
 from llama_stack.providers.utils.responses.responses_store import ResponsesStore
@@ -51,7 +51,7 @@
 from .openai_responses import OpenAIResponsesImpl
 from .persistence import AgentInfo
 
-logger = logging.getLogger()
+logger = get_logger(name=__name__, category="openai_responses")
 
 
 class MetaReferenceAgentsImpl(Agents):

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

@@ -75,7 +75,7 @@
 from llama_stack.providers.utils.inference.openai_compat import convert_tooldef_to_openai_tool
 from llama_stack.providers.utils.responses.responses_store import ResponsesStore
 
-logger = get_logger(name=__name__, category="openai_responses")
+logger = get_logger(name=__name__, category="agents")
 
 OPENAI_RESPONSES_PREFIX = "openai_responses:"
 

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

@@ -5,7 +5,6 @@
 # the root directory of this source tree.
 
 import json
-import logging
 import uuid
 from datetime import UTC, datetime
 
@@ -15,9 +14,10 @@
 from llama_stack.core.access_control.datatypes import AccessRule
 from llama_stack.core.datatypes import User
 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 = logging.getLogger(__name__)
+log = get_logger(name=__name__, category="agents")
 
 
 class AgentSessionInfo(Session):

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

@@ -5,13 +5,13 @@
 # the root directory of this source tree.
 
 import asyncio
-import logging
 
 from llama_stack.apis.inference import Message
 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 = logging.getLogger(__name__)
+log = get_logger(name=__name__, category="agents")
 
 
 class SafetyException(Exception):  # noqa: N818

llama_stack/providers/inline/inference/meta_reference/parallel_utils.py

@@ -12,7 +12,6 @@
 
 import copy
 import json
-import logging
 import multiprocessing
 import os
 import tempfile
@@ -32,13 +31,14 @@
 from pydantic import BaseModel, Field
 from torch.distributed.launcher.api import LaunchConfig, elastic_launch
 
+from llama_stack.log import get_logger
 from llama_stack.models.llama.datatypes import GenerationResult
 from llama_stack.providers.utils.inference.prompt_adapter import (
     ChatCompletionRequestWithRawContent,
     CompletionRequestWithRawContent,
 )
 
-log = logging.getLogger(__name__)
+log = get_logger(name=__name__, category="inference")
 
 
 class ProcessingMessageName(str, Enum):

llama_stack/providers/inline/inference/sentence_transformers/sentence_transformers.py

@@ -4,7 +4,6 @@
 # This source code is licensed under the terms described in the LICENSE file in
 # the root directory of this source tree.
 
-import logging
 from collections.abc import AsyncGenerator
 
 from llama_stack.apis.inference import (
@@ -21,6 +20,7 @@
     ToolPromptFormat,
 )
 from llama_stack.apis.models import ModelType
+from llama_stack.log import get_logger
 from llama_stack.providers.datatypes import Model, ModelsProtocolPrivate
 from llama_stack.providers.utils.inference.embedding_mixin import (
     SentenceTransformerEmbeddingMixin,
@@ -32,7 +32,7 @@
 
 from .config import SentenceTransformersInferenceConfig
 
-log = logging.getLogger(__name__)
+log = get_logger(name=__name__, category="inference")
 
 
 class SentenceTransformersInferenceImpl(

llama_stack/providers/inline/post_training/huggingface/recipes/finetune_single_device.py

@@ -6,7 +6,6 @@
 
 import gc
 import json
-import logging
 import multiprocessing
 from pathlib import Path
 from typing import Any
@@ -28,6 +27,7 @@
     LoraFinetuningConfig,
     TrainingConfig,
 )
+from llama_stack.log import get_logger
 from llama_stack.providers.inline.post_training.common.utils import evacuate_model_from_device
 
 from ..config import HuggingFacePostTrainingConfig
@@ -44,7 +44,7 @@
     split_dataset,
 )
 
-logger = logging.getLogger(__name__)
+logger = get_logger(name=__name__, category="post_training")
 
 
 class HFFinetuningSingleDevice:

llama_stack/providers/inline/post_training/huggingface/recipes/finetune_single_device_dpo.py

@@ -5,7 +5,6 @@
 # the root directory of this source tree.
 
 import gc
-import logging
 import multiprocessing
 from pathlib import Path
 from typing import Any
@@ -24,6 +23,7 @@
     DPOAlignmentConfig,
     TrainingConfig,
 )
+from llama_stack.log import get_logger
 from llama_stack.providers.inline.post_training.common.utils import evacuate_model_from_device
 
 from ..config import HuggingFacePostTrainingConfig
@@ -40,7 +40,7 @@
     split_dataset,
 )
 
-logger = logging.getLogger(__name__)
+logger = get_logger(name=__name__, category="post_training")
 
 
 class HFDPOAlignmentSingleDevice:

llama_stack/providers/inline/post_training/huggingface/utils.py

@@ -4,7 +4,6 @@
 # This source code is licensed under the terms described in the LICENSE file in
 # the root directory of this source tree.
 
-import logging
 import os
 import signal
 import sys
@@ -19,10 +18,11 @@
 
 from llama_stack.apis.datasetio import DatasetIO
 from llama_stack.apis.post_training import Checkpoint, TrainingConfig
+from llama_stack.log import get_logger
 
 from .config import HuggingFacePostTrainingConfig
 
-logger = logging.getLogger(__name__)
+logger = get_logger(name=__name__, category="post_training")
 
 
 def setup_environment():