Litellm ruff linting enforcement (#5992)

* ci(config.yml): add a 'check_code_quality' step

Addresses https://github.com/BerriAI/litellm/issues/5991

* ci(config.yml): check why circle ci doesn't pick up this test

* ci(config.yml): fix to run 'check_code_quality' tests

* fix(__init__.py): fix unprotected import

* fix(__init__.py): don't remove unused imports

* build(ruff.toml): update ruff.toml to ignore unused imports

* fix: fix: ruff + pyright - fix linting + type-checking errors

* fix: fix linting errors

* fix(lago.py): fix module init error

* fix: fix linting errors

* ci(config.yml): cd into correct dir for checks

* fix(proxy_server.py): fix linting error

* fix(utils.py): fix bare except

causes ruff linting errors

* fix: ruff - fix remaining linting errors

* fix(clickhouse.py): use standard logging object

* fix(__init__.py): fix unprotected import

* fix: ruff - fix linting errors

* fix: fix linting errors

* ci(config.yml): cleanup code qa step (formatting handled in local_testing)

* fix(_health_endpoints.py): fix ruff linting errors

* ci(config.yml): just use ruff in check_code_quality pipeline for now

* build(custom_guardrail.py): include missing file

* style(embedding_handler.py): fix ruff check

litellm/integrations/custom_logger.py

@@ -12,7 +12,12 @@ from litellm.caching import DualCache
 from litellm.proxy._types import UserAPIKeyAuth
 from litellm.types.llms.openai import ChatCompletionRequest
 from litellm.types.services import ServiceLoggerPayload
-from litellm.types.utils import AdapterCompletionStreamWrapper, ModelResponse
+from litellm.types.utils import (
+    AdapterCompletionStreamWrapper,
+    EmbeddingResponse,
+    ImageResponse,
+    ModelResponse,
+)
 
 
 class CustomLogger:  # https://docs.litellm.ai/docs/observability/custom_callback#callback-class
@@ -140,8 +145,8 @@ class CustomLogger:  # https://docs.litellm.ai/docs/observability/custom_callbac
         self,
         data: dict,
         user_api_key_dict: UserAPIKeyAuth,
-        response,
-    ):
+        response: Union[Any, ModelResponse, EmbeddingResponse, ImageResponse],
+    ) -> Any:
         pass
 
     async def async_logging_hook(
@@ -188,7 +193,7 @@ class CustomLogger:  # https://docs.litellm.ai/docs/observability/custom_callbac
                 kwargs,
             )
             print_verbose(f"Custom Logger - model call details: {kwargs}")
-        except:
+        except Exception:
             print_verbose(f"Custom Logger Error - {traceback.format_exc()}")
 
     async def async_log_input_event(
@@ -202,7 +207,7 @@ class CustomLogger:  # https://docs.litellm.ai/docs/observability/custom_callbac
                 kwargs,
             )
             print_verbose(f"Custom Logger - model call details: {kwargs}")
-        except:
+        except Exception:
             print_verbose(f"Custom Logger Error - {traceback.format_exc()}")
 
     def log_event(
@@ -217,7 +222,7 @@ class CustomLogger:  # https://docs.litellm.ai/docs/observability/custom_callbac
                 start_time,
                 end_time,
             )
-        except:
+        except Exception:
             print_verbose(f"Custom Logger Error - {traceback.format_exc()}")
             pass
 
@@ -233,6 +238,6 @@ class CustomLogger:  # https://docs.litellm.ai/docs/observability/custom_callbac
                 start_time,
                 end_time,
             )
-        except:
+        except Exception:
             print_verbose(f"Custom Logger Error - {traceback.format_exc()}")
             pass