refactor: clean up fresh tech debt from 2026-09-27 (#43538)

Co-authored-by: Devin AI <158243242+devin-ai-integration[bot]@users.noreply.github.com>
This commit is contained in:
devin-ai-integration[bot] 2026-09-28 01:28:40 -07:00 • committed by GitHub
parent b79fc9f1b0
commit 90e4962c81
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3 changed files with 31 additions and 30 deletions

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@ -640,8 +640,8 @@ class Logging(LiteLLMLoggingBaseClass):
self._own_session_id: str = session_id_var.get()
self.function_id = function_id
self.streaming_chunks: list[object] = [] # for generating complete stream response
self.sync_streaming_chunks: list[object] = [] # for generating complete stream response
self.streaming_chunks: list[object] = []
self.sync_streaming_chunks: list[object] = []
self.log_raw_request_response = log_raw_request_response
self.raw_request_only = raw_request_only

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@ -6,6 +6,33 @@ import inspect
from collections.abc import Callable, Mapping, Sequence
from typing import Final, cast # noqa: TID251 # narrows caller-owned containers without copying them
import litellm
_INFERENCE_CONTEXT: Final = frozenset(
{
"model",
"messages",
"input",
"api_key",
"api_base",
"base_url",
"custom_llm_provider",
"extra_headers",
"timeout",
"request_timeout",
"callbacks",
"success_callback",
"failure_callback",
"metadata",
"litellm_metadata",
"litellm_call_id",
"litellm_trace_id",
"litellm_logging_obj",
"litellm_credential_name",
"proxy_server_request",
}
)
def signature(legacy: Callable[..., object]) -> inspect.Signature:
return inspect.signature(legacy)
@ -43,37 +70,11 @@ def optional_sequence(value: object) -> Sequence[object] | None:
def inference_decline_reason(parameters: tuple[str, ...], kwargs: Mapping[str, object]) -> str | None:
import litellm
if litellm.cache is not None or litellm.drop_params or litellm.modify_params:
return "native inference does not implement the configured cache or parameter rewrites"
context: Final = frozenset(
{
"model",
"messages",
"input",
"api_key",
"api_base",
"base_url",
"custom_llm_provider",
"extra_headers",
"timeout",
"request_timeout",
"callbacks",
"success_callback",
"failure_callback",
"metadata",
"litellm_metadata",
"litellm_call_id",
"litellm_trace_id",
"litellm_logging_obj",
"litellm_credential_name",
"proxy_server_request",
}
)
for name, value in kwargs.items():
if value is None:
continue
if name not in parameters and name not in context:
if name not in parameters and name not in _INFERENCE_CONTEXT:
return f"native inference does not implement {name}"
return None

View file

@ -34,7 +34,7 @@ def decline_reason(request: LiteLLMResponsesRequest) -> str | None:
if request.custom_llm_provider is None and "/" not in request.model:
try:
_, provider, _, _ = get_llm_provider(model=request.model)
except Exception: # noqa: BLE001 # unresolved models stay on the existing Python dispatch path
except litellm.exceptions.BadRequestError:
return "native Responses could not resolve the provider"
if provider != "openai":
return "native HTTP responses provider"