fix: reduced __inits__ overhead in 7% (#14689)

* fix: avoid redundant __init__ calls on hot path

Previously, imports on the request hot path caused __init__ to run
excessively for every request. This change ensures initialization
happens once, reducing cpu overhead.

* fix: remove redundant __init__ import

The current implementation no longer requires an import at the top of the function.

* fix: placed on core utils for future reuse

* test: add coverage & remove inline import

A general import-checking tool across all endpoints would be a large PR.
This commit focuses on a smaller, targeted fix for the discussed case.

* added import check to CI
This commit is contained in:
Alexsander Hamir 2025-09-18 17:18:05 -07:00 • committed by GitHub
parent 4c983f985a
commit 59409429d4
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GPG key ID: B5690EEEBB952194
5 changed files with 116 additions and 14 deletions

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@ -1458,6 +1458,7 @@ jobs:
# - run: python ./tests/documentation_tests/test_general_setting_keys.py
- run: python ./tests/code_coverage_tests/check_licenses.py
- run: python ./tests/code_coverage_tests/router_code_coverage.py
- run: python ./tests/code_coverage_tests/test_chat_completion_imports.py
- run: python ./tests/code_coverage_tests/info_log_check.py
- run: python ./tests/code_coverage_tests/test_ban_set_verbose.py
- run: python ./tests/code_coverage_tests/code_qa_check_tests.py

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@ -0,0 +1,56 @@
"""
Cached imports module for LiteLLM.
This module provides cached import functionality to avoid repeated imports
inside functions that are critical to performance.
"""
from typing import TYPE_CHECKING, Callable, Optional, Type
# Type annotations for cached imports
if TYPE_CHECKING:
from litellm.litellm_core_utils.litellm_logging import Logging
from litellm.litellm_core_utils.coroutine_checker import CoroutineChecker
# Global cache variables
_LiteLLMLogging: Optional[Type["Logging"]] = None
_coroutine_checker: Optional["CoroutineChecker"] = None
_set_callbacks: Optional[Callable] = None
def get_litellm_logging_class() -> Type["Logging"]:
"""Get the cached LiteLLM Logging class, initializing if needed."""
global _LiteLLMLogging
if _LiteLLMLogging is not None:
return _LiteLLMLogging
from litellm.litellm_core_utils.litellm_logging import Logging
_LiteLLMLogging = Logging
return _LiteLLMLogging
def get_coroutine_checker() -> "CoroutineChecker":
"""Get the cached coroutine checker instance, initializing if needed."""
global _coroutine_checker
if _coroutine_checker is not None:
return _coroutine_checker
from litellm.litellm_core_utils.coroutine_checker import coroutine_checker
_coroutine_checker = coroutine_checker
return _coroutine_checker
def get_set_callbacks() -> Callable:
"""Get the cached set_callbacks function, initializing if needed."""
global _set_callbacks
if _set_callbacks is not None:
return _set_callbacks
from litellm.litellm_core_utils.litellm_logging import set_callbacks
_set_callbacks = set_callbacks
return _set_callbacks
def clear_cached_imports() -> None:
"""Clear all cached imports. Useful for testing or memory management."""
global _LiteLLMLogging, _coroutine_checker, _set_callbacks
_LiteLLMLogging = None
_coroutine_checker = None
_set_callbacks = None

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@ -1,4 +1,5 @@
import json
import re
from typing import Any, Dict, List, Optional
import orjson
@ -51,8 +52,6 @@ async def _read_request_body(request: Optional[Request]) -> Dict:
body_str = body.decode("utf-8") if isinstance(body, bytes) else body
# Replace invalid surrogate pairs
import re
# This regex finds incomplete surrogate pairs
body_str = re.sub(
r"[\uD800-\uDBFF](?![\uDC00-\uDFFF])", "", body_str

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@ -59,6 +59,12 @@ import litellm.litellm_core_utils.audio_utils.utils
import litellm.litellm_core_utils.json_validation_rule
import litellm.llms
import litellm.llms.gemini
# Import cached imports utilities
from litellm.litellm_core_utils.cached_imports import (
get_coroutine_checker,
get_litellm_logging_class,
get_set_callbacks,
)
from litellm.caching._internal_lru_cache import lru_cache_wrapper
from litellm.caching.caching import DualCache
from litellm.caching.caching_handler import CachingHandlerResponse, LLMCachingHandler
@ -222,6 +228,7 @@ from typing import (
get_args,
)
from openai import OpenAIError as OriginalError
from litellm.litellm_core_utils.thread_pool_executor import executor
@ -521,16 +528,12 @@ def get_dynamic_callbacks(
from litellm.litellm_core_utils.coroutine_checker import coroutine_checker
def function_setup( # noqa: PLR0915
original_function: str, rules_obj, start_time, *args, **kwargs
): # just run once to check if user wants to send their data anywhere - PostHog/Sentry/Slack/etc.
### NOTICES ###
from litellm import Logging as LiteLLMLogging
from litellm.litellm_core_utils.litellm_logging import set_callbacks
if litellm.set_verbose is True:
verbose_logger.warning(
"`litellm.set_verbose` is deprecated. Please set `os.environ['LITELLM_LOG'] = 'DEBUG'` for debug logs."
@ -593,12 +596,12 @@ def function_setup( # noqa: PLR0915
+ litellm.failure_callback
)
)
set_callbacks(callback_list=callback_list, function_id=function_id)
get_set_callbacks()(callback_list=callback_list, function_id=function_id)
## ASYNC CALLBACKS
if len(litellm.input_callback) > 0:
removed_async_items = []
for index, callback in enumerate(litellm.input_callback): # type: ignore
if coroutine_checker.is_async_callable(callback):
if get_coroutine_checker().is_async_callable(callback):
litellm._async_input_callback.append(callback)
removed_async_items.append(index)
@ -608,7 +611,7 @@ def function_setup( # noqa: PLR0915
if len(litellm.success_callback) > 0:
removed_async_items = []
for index, callback in enumerate(litellm.success_callback): # type: ignore
if coroutine_checker.is_async_callable(callback):
if get_coroutine_checker().is_async_callable(callback):
litellm.logging_callback_manager.add_litellm_async_success_callback(
callback
)
@ -633,7 +636,7 @@ def function_setup( # noqa: PLR0915
if len(litellm.failure_callback) > 0:
removed_async_items = []
for index, callback in enumerate(litellm.failure_callback): # type: ignore
if coroutine_checker.is_async_callable(callback):
if get_coroutine_checker().is_async_callable(callback):
litellm.logging_callback_manager.add_litellm_async_failure_callback(
callback
)
@ -666,7 +669,7 @@ def function_setup( # noqa: PLR0915
removed_async_items = []
for index, callback in enumerate(kwargs["success_callback"]):
if (
coroutine_checker.is_async_callable(callback)
get_coroutine_checker().is_async_callable(callback)
or callback == "dynamodb"
or callback == "s3"
):
@ -790,7 +793,7 @@ def function_setup( # noqa: PLR0915
call_type=call_type,
):
stream = True
logging_obj = LiteLLMLogging(
logging_obj = get_litellm_logging_class()( # Victim for object pool
model=model, # type: ignore
messages=messages,
stream=stream,
@ -903,7 +906,7 @@ def client(original_function): # noqa: PLR0915
rules_obj = Rules()
def check_coroutine(value) -> bool:
return coroutine_checker.is_async_callable(value)
return get_coroutine_checker().is_async_callable(value)
async def async_pre_call_deployment_hook(kwargs: Dict[str, Any], call_type: str):
"""
@ -1597,7 +1600,7 @@ def client(original_function): # noqa: PLR0915
setattr(e, "timeout", timeout)
raise e
is_coroutine = coroutine_checker.is_async_callable(original_function)
is_coroutine = get_coroutine_checker().is_async_callable(original_function)
# Return the appropriate wrapper based on the original function type
if is_coroutine:

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@ -0,0 +1,43 @@
## Tests that chat_completion endpoint has no imports inside function bodies
## This is critical for performance optimization in the hot path
import ast
from pathlib import Path
def test_chat_completion_no_imports():
"""Test that chat_completion endpoint has no imports in function bodies."""
# Path to the proxy server file
proxy_server_path = Path(__file__).parent.parent.parent / "litellm" / "proxy" / "proxy_server.py"
with open(proxy_server_path, 'r') as f:
content = f.read()
# Parse the AST
tree = ast.parse(content)
# Find the chat_completion function
chat_completion_func = None
for node in ast.walk(tree):
if (isinstance(node, ast.AsyncFunctionDef) and node.name == "chat_completion"):
chat_completion_func = node
break
assert chat_completion_func is not None, "chat_completion function not found"
# Check for imports inside the function body
import_violations = []
for node in ast.walk(chat_completion_func):
if isinstance(node, (ast.Import, ast.ImportFrom)):
# Get line number
line_num = node.lineno
import_violations.append(line_num)
# Assert no import violations found
if import_violations:
print(f"Found {len(import_violations)} import violations in chat_completion endpoint:")
for line_num in import_violations:
print(f" - Line {line_num}: Import statement found")
print("\nchat_completion endpoint should not contain imports for optimal performance.")
raise Exception("Import violations found in chat_completion endpoint")