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chore(pre-commit): add pre-commit hook to enforce llama_stack logger usage (#3061)

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# What does this PR do?

This PR adds a step in pre-commit to enforce using `llama_stack` logger.

Currently, various parts of the code base uses different loggers. As a
custom `llama_stack` logger exist and used in the codebase, it is better
to standardize its utilization.

Signed-off-by: Mustafa Elbehery <melbeher@redhat.com>
Co-authored-by: Matthew Farrellee <matt@cs.wisc.edu>
This commit is contained in:
Mustafa Elbehery 2025-08-20 13:15:35 +02:00 • committed by GitHub
parent 5f151ddf45
commit 3f8df167f3
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57 changed files with 148 additions and 122 deletions
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4
llama_stack/providers/inline/inference/meta_reference/parallel_utils.py
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@ -12,7 +12,6 @@
import copy
import json
import logging
import multiprocessing
import os
import tempfile
@ -32,13 +31,14 @@ from fairscale.nn.model_parallel.initialize import (
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):