fix(lint): resolve UP007 violations

This commit is contained in:
KnyazSh 2026-07-02 17:15:17 +00:00
parent 8bf1f21c38
commit c4af986f9c
4 changed files with 31 additions and 28 deletions

View file

@ -4,10 +4,12 @@ GigaChat Chat Transformation
Transforms OpenAI-format requests to GigaChat format and back.
"""
from __future__ import annotations
import json
import time
import uuid
from typing import TYPE_CHECKING, Any, AsyncIterator, Iterator, Union
from typing import TYPE_CHECKING, Any, AsyncIterator, Iterator
import httpx
@ -212,7 +214,7 @@ class GigaChatConfig(BaseConfig):
)
return functions
def _map_tool_choice(self, tool_choice: Union[str, dict]) -> Union[str, dict] | None:
def _map_tool_choice(self, tool_choice: str | dict) -> str | dict | None:
"""
Map OpenAI tool_choice to GigaChat function_call format.
@ -488,7 +490,7 @@ class GigaChatConfig(BaseConfig):
self,
error_message: str,
status_code: int,
headers: Union[dict, httpx.Headers],
headers: dict | httpx.Headers,
) -> BaseLLMException:
"""Return GigaChat error class."""
return GigaChatError(
@ -499,7 +501,7 @@ class GigaChatConfig(BaseConfig):
def get_model_response_iterator(
self,
streaming_response: Union[Iterator[str], AsyncIterator[str], ModelResponse],
streaming_response: Iterator[str] | AsyncIterator[str] | ModelResponse,
sync_stream: bool,
json_mode: bool | None = False,
):

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@ -5,8 +5,9 @@ Transforms OpenAI /v1/embeddings format to GigaChat format.
API Documentation: https://developers.sber.ru/docs/ru/gigachat/api/reference/rest/post-embeddings
"""
from __future__ import annotations
import types
from typing import Union
import httpx
@ -200,9 +201,7 @@ class GigaChatEmbeddingConfig(BaseEmbeddingConfig):
}
return {**default_headers, **headers}
def get_error_class(
self, error_message: str, status_code: int, headers: Union[dict, httpx.Headers]
) -> BaseLLMException:
def get_error_class(self, error_message: str, status_code: int, headers: dict | httpx.Headers) -> BaseLLMException:
"""Return GigaChat-specific error class."""
return GigaChatEmbeddingError(
status_code=status_code,

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@ -2,6 +2,8 @@
This module is used to pass through requests to the LLM APIs.
"""
from __future__ import annotations
import asyncio
import contextvars
from functools import partial
@ -12,8 +14,6 @@ from typing import (
Coroutine,
Generator,
List,
Optional,
Union,
cast,
)
@ -239,9 +239,9 @@ async def allm_passthrough_route(
json: Any | None = None,
params: QueryParamTypes | None = None,
cookies: CookieTypes | None = None,
client: Optional[Union[HTTPHandler, AsyncHTTPHandler]] = None,
client: HTTPHandler | AsyncHTTPHandler | None = None,
**kwargs,
) -> Union[httpx.Response, AsyncGenerator[Any, Any]]:
) -> httpx.Response | AsyncGenerator[Any, Any]:
"""
Async: Reranks a list of documents based on their relevance to the query
"""
@ -260,7 +260,7 @@ async def allm_passthrough_route(
from litellm.utils import ProviderConfigManager
provider_config = cast(
Optional["BasePassthroughConfig"], kwargs.get("provider_config")
"BasePassthroughConfig" | None, kwargs.get("provider_config")
) or ProviderConfigManager.get_provider_passthrough_config(
provider=LlmProviders(custom_llm_provider),
model=model,
@ -328,7 +328,7 @@ async def allm_passthrough_route(
if resolved_custom_llm_provider:
try:
provider_config = cast(
Optional["BasePassthroughConfig"], kwargs.get("provider_config")
"BasePassthroughConfig" | None, kwargs.get("provider_config")
) or ProviderConfigManager.get_provider_passthrough_config(
provider=LlmProviders(resolved_custom_llm_provider),
model=model,
@ -365,15 +365,15 @@ def llm_passthrough_route(
json: Any | None = None,
params: QueryParamTypes | None = None,
cookies: CookieTypes | None = None,
client: Union[HTTPHandler, AsyncHTTPHandler] | None = None,
client: HTTPHandler | AsyncHTTPHandler | None = None,
**kwargs,
) -> Union[
httpx.Response,
Coroutine[Any, Any, httpx.Response],
Coroutine[Any, Any, Union[httpx.Response, AsyncGenerator[Any, Any]]],
Generator[Any, Any, Any],
AsyncGenerator[Any, Any],
]:
) -> (
httpx.Response
| Coroutine[Any, Any, httpx.Response]
| Coroutine[Any, Any, httpx.Response | AsyncGenerator[Any, Any]]
| Generator[Any, Any, Any]
| AsyncGenerator[Any, Any]
):
"""
Pass through requests to the LLM APIs.
@ -432,7 +432,7 @@ def llm_passthrough_route(
)
provider_config = cast(
Optional["BasePassthroughConfig"], kwargs.get("provider_config")
"BasePassthroughConfig" | None, kwargs.get("provider_config")
) or ProviderConfigManager.get_provider_passthrough_config(
provider=LlmProviders(custom_llm_provider),
model=model,
@ -547,12 +547,12 @@ def llm_passthrough_route(
async def _async_passthrough_request(
client: Union[HTTPHandler, AsyncHTTPHandler],
client: HTTPHandler | AsyncHTTPHandler,
request: httpx.Request,
is_streaming_request: bool,
litellm_logging_obj: "LiteLLMLoggingObj",
provider_config: "BasePassthroughConfig",
) -> Union[httpx.Response, AsyncGenerator[Any, Any]]:
) -> httpx.Response | AsyncGenerator[Any, Any]:
"""
Handle async passthrough requests.
Uses async client to send request and properly handles streaming.

View file

@ -6,10 +6,12 @@ Provider-specific Pass-Through Endpoints
Use litellm with Anthropic SDK, Vertex AI SDK, Cohere SDK, etc.
"""
from __future__ import annotations
import json
import os
import re
from typing import TYPE_CHECKING, Any, Callable, Union, cast
from typing import TYPE_CHECKING, Any, Callable, cast
import httpx
from fastapi import APIRouter, Depends, HTTPException, Request, Response, WebSocket
@ -730,7 +732,7 @@ async def handle_bedrock_passthrough_router_model(
user_max_tokens: int | None,
user_api_base: str | None,
version: str | None,
) -> Union[Response, StreamingResponse]:
) -> Response | StreamingResponse:
"""
Handle Bedrock passthrough for router models (models defined in config.yaml).
@ -2421,7 +2423,7 @@ async def handle_gigachat_passthrough_router_model(
user_max_tokens: int | None,
user_api_base: str | None,
version: str | None,
) -> Union[Response, StreamingResponse]:
) -> Response | StreamingResponse:
"""
Handle Gigachat passthrough for router models (models defined in config.yaml).