style(tests): drop unrelated formatting churn

Co-Authored-By: Devin AI <158243242+devin-ai-integration[bot]@users.noreply.github.com>
This commit is contained in:
jesus 2026-09-14 20:56:10 +00:00
parent efad8deb71
commit f9298d8979

View file

@ -1,7 +1,6 @@
import datetime as real_datetime
import smtplib
from typing import Final
from unittest.mock import MagicMock, patch
import pytest
from fastapi import HTTPException
@ -10,10 +9,15 @@ from litellm.caching.caching import DualCache
from litellm.integrations.custom_guardrail import CustomGuardrail
from litellm.integrations.custom_logger import CustomLogger
from litellm.proxy._types import ProxyErrorTypes, UserAPIKeyAuth
from litellm.proxy.utils import PrismaClient, ProxyLogging, get_custom_url, join_paths
from litellm.proxy.utils import PrismaClient, ProxyLogging
from litellm.types.guardrails import GuardrailEventHooks
from unittest.mock import MagicMock, patch
from litellm.proxy.utils import get_custom_url, join_paths
def test_get_custom_url(monkeypatch):
monkeypatch.setenv("SERVER_ROOT_PATH", "/litellm")
custom_url = get_custom_url(request_base_url="http://0.0.0.0:4000", route="ui/")
@ -2139,7 +2143,9 @@ def test_create_model_info_response_resolves_alias_to_deployment_model():
]
)
response = create_model_info_response(model_id="bedrock-claude-opus-5", provider="openai", llm_router=router)
response = create_model_info_response(
model_id="bedrock-claude-opus-5", provider="openai", llm_router=router
)
finally:
litellm.model_cost.clear()
litellm.model_cost.update(saved_model_cost)
@ -2168,7 +2174,9 @@ def test_create_model_info_response_keeps_exact_alias_over_generalized_deploymen
]
)
response = create_model_info_response(model_id="claude-opus-5", provider="openai", llm_router=router)
response = create_model_info_response(
model_id="claude-opus-5", provider="openai", llm_router=router
)
finally:
litellm.model_cost.clear()
litellm.model_cost.update(saved_model_cost)
@ -2192,7 +2200,9 @@ def test_create_model_info_response_falls_back_to_alias_for_opaque_deployment_na
]
)
response = create_model_info_response(model_id="gpt-4o", provider="openai", llm_router=router)
response = create_model_info_response(
model_id="gpt-4o", provider="openai", llm_router=router
)
finally:
litellm.model_cost.clear()
litellm.model_cost.update(saved_model_cost)
@ -2217,7 +2227,9 @@ def test_create_model_info_response_resolves_mode_through_deployment_model():
]
)
response = create_model_info_response(model_id="my-embeddings", provider="openai", llm_router=router)
response = create_model_info_response(
model_id="my-embeddings", provider="openai", llm_router=router
)
finally:
litellm.model_cost.clear()
litellm.model_cost.update(saved_model_cost)
@ -2295,9 +2307,7 @@ async def test_post_call_failure_hook_redacts_traceback_before_callbacks(monkeyp
with patch.object(proxy_logging_obj, "update_request_status", new=AsyncMock()):
await proxy_logging_obj.post_call_failure_hook(
request_data={"metadata": {}},
original_exception=HTTPException(
status_code=400, detail="Upstream passthrough request failed with status 400"
),
original_exception=HTTPException(status_code=400, detail="Upstream passthrough request failed with status 400"),
user_api_key_dict=UserAPIKeyAuth(),
traceback_str=upstream_traceback,
)