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use new logger

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This commit is contained in:
Ashwin Bharambe 2025-03-07 13:36:28 -08:00
parent 5c2cf512b9
commit 69649ecab1
1 changed files with 2 additions and 9 deletions
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11
llama_stack/providers/inline/inference/vllm/vllm.py
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@ -5,7 +5,6 @@
# the root directory of this source tree.
import json
import logging
import re
import uuid
from typing import AsyncGenerator, AsyncIterator, Dict, List, Optional, Union
@ -49,6 +48,7 @@ from llama_stack.apis.inference import (
ToolConfig,
)
from llama_stack.apis.models import Model
from llama_stack.log import get_logger
from llama_stack.models.llama import sku_list
from llama_stack.models.llama.datatypes import (
StopReason,
@ -90,14 +90,7 @@ CONFIG_TYPE_TO_TOOL_PARSER = {
DEFAULT_TOOL_PARSER = "pythonic"
logger = logging.getLogger(__name__)
# Adjust logging parameters from Python code. This appears to be the standard way to control
# logging in Llama Stack.
logger.setLevel(logging.INFO)
stderr_handler = logging.StreamHandler()
stderr_handler.setFormatter(logging.Formatter("%(asctime)s: %(filename)s [%(levelname)s] %(message)s"))
logger.addHandler(stderr_handler)
logger = get_logger(__name__, category="inference")
def _random_uuid_str() -> str: