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use llama_stack.log.get_logger

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This commit is contained in:
Matthew Farrellee 2025-07-22 10:30:59 -04:00
parent 0ff9ae01a0
commit 20d401e953
2 changed files with 4 additions and 4 deletions
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4
llama_stack/providers/utils/inference/model_registry.py
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@ -4,20 +4,20 @@
# This source code is licensed under the terms described in the LICENSE file in
# the root directory of this source tree.
import logging
from typing import Any
from pydantic import BaseModel, Field
from llama_stack.apis.common.errors import UnsupportedModelError
from llama_stack.apis.models import ModelType
from llama_stack.log import get_logger
from llama_stack.models.llama.sku_list import all_registered_models
from llama_stack.providers.datatypes import Model, ModelsProtocolPrivate
from llama_stack.providers.utils.inference import (
ALL_HUGGINGFACE_REPOS_TO_MODEL_DESCRIPTOR,
)
logger = logging.getLogger(__name__)
logger = get_logger(name=__name__, category="core")
# TODO: this class is more confusing than useful right now. We need to make it

4
llama_stack/providers/utils/inference/openai_mixin.py
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@ -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 abc import ABC, abstractmethod
from collections.abc import AsyncIterator
from typing import Any
@ -23,9 +22,10 @@ from llama_stack.apis.inference import (
OpenAIMessageParam,
OpenAIResponseFormatParam,
)
from llama_stack.log import get_logger
from llama_stack.providers.utils.inference.openai_compat import prepare_openai_completion_params
logger = logging.getLogger(__name__)
logger = get_logger(name=__name__, category="core")
class OpenAIMixin(ABC):