build(pyproject.toml): add new dev dependencies - for type checking (#9631)

* build(pyproject.toml): add new dev dependencies - for type checking

* build: reformat files to fit black

* ci: reformat to fit black

* ci(test-litellm.yml): make tests run clear

* build(pyproject.toml): add ruff

* fix: fix ruff checks

* build(mypy/): fix mypy linting errors

* fix(hashicorp_secret_manager.py): fix passing cert for tls auth

* build(mypy/): resolve all mypy errors

* test: update test

* fix: fix black formatting

* build(pre-commit-config.yaml): use poetry run black

* fix(proxy_server.py): fix linting error

* fix: fix ruff safe representation error

litellm/main.py

@@ -946,14 +946,16 @@ def completion(  # type: ignore # noqa: PLR0915
     ## PROMPT MANAGEMENT HOOKS ##
 
     if isinstance(litellm_logging_obj, LiteLLMLoggingObj) and prompt_id is not None:
-        model, messages, optional_params = (
-            litellm_logging_obj.get_chat_completion_prompt(
-                model=model,
-                messages=messages,
-                non_default_params=non_default_params,
-                prompt_id=prompt_id,
-                prompt_variables=prompt_variables,
-            )
+        (
+            model,
+            messages,
+            optional_params,
+        ) = litellm_logging_obj.get_chat_completion_prompt(
+            model=model,
+            messages=messages,
+            non_default_params=non_default_params,
+            prompt_id=prompt_id,
+            prompt_variables=prompt_variables,
         )
 
     try:
@@ -1246,7 +1248,6 @@ def completion(  # type: ignore # noqa: PLR0915
                 optional_params["max_retries"] = max_retries
 
             if litellm.AzureOpenAIO1Config().is_o_series_model(model=model):
-
                 ## LOAD CONFIG - if set
                 config = litellm.AzureOpenAIO1Config.get_config()
                 for k, v in config.items():
@@ -2654,9 +2655,9 @@ def completion(  # type: ignore # noqa: PLR0915
                     "aws_region_name" not in optional_params
                     or optional_params["aws_region_name"] is None
                 ):
-                    optional_params["aws_region_name"] = (
-                        aws_bedrock_client.meta.region_name
-                    )
+                    optional_params[
+                        "aws_region_name"
+                    ] = aws_bedrock_client.meta.region_name
 
             bedrock_route = BedrockModelInfo.get_bedrock_route(model)
             if bedrock_route == "converse":
@@ -4362,9 +4363,9 @@ def adapter_completion(
     new_kwargs = translation_obj.translate_completion_input_params(kwargs=kwargs)
 
     response: Union[ModelResponse, CustomStreamWrapper] = completion(**new_kwargs)  # type: ignore
-    translated_response: Optional[Union[BaseModel, AdapterCompletionStreamWrapper]] = (
-        None
-    )
+    translated_response: Optional[
+        Union[BaseModel, AdapterCompletionStreamWrapper]
+    ] = None
     if isinstance(response, ModelResponse):
         translated_response = translation_obj.translate_completion_output_params(
             response=response
@@ -4436,13 +4437,16 @@ async def amoderation(
 
     optional_params = GenericLiteLLMParams(**kwargs)
     try:
-        model, _custom_llm_provider, _dynamic_api_key, _dynamic_api_base = (
-            litellm.get_llm_provider(
-                model=model or "",
-                custom_llm_provider=custom_llm_provider,
-                api_base=optional_params.api_base,
-                api_key=optional_params.api_key,
-            )
+        (
+            model,
+            _custom_llm_provider,
+            _dynamic_api_key,
+            _dynamic_api_base,
+        ) = litellm.get_llm_provider(
+            model=model or "",
+            custom_llm_provider=custom_llm_provider,
+            api_base=optional_params.api_base,
+            api_key=optional_params.api_key,
         )
     except litellm.BadRequestError:
         # `model` is optional field for moderation - get_llm_provider will throw BadRequestError if model is not set / not recognized
@@ -5405,7 +5409,6 @@ def speech(  # noqa: PLR0915
             litellm_params=litellm_params_dict,
         )
     elif custom_llm_provider == "vertex_ai" or custom_llm_provider == "vertex_ai_beta":
-
         generic_optional_params = GenericLiteLLMParams(**kwargs)
 
         api_base = generic_optional_params.api_base or ""
@@ -5460,7 +5463,6 @@ def speech(  # noqa: PLR0915
 async def ahealth_check_wildcard_models(
     model: str, custom_llm_provider: str, model_params: dict
 ) -> dict:
-
     # this is a wildcard model, we need to pick a random model from the provider
     cheapest_models = pick_cheapest_chat_models_from_llm_provider(
         custom_llm_provider=custom_llm_provider, n=3
@@ -5783,9 +5785,9 @@ def stream_chunk_builder(  # noqa: PLR0915
         ]
 
         if len(content_chunks) > 0:
-            response["choices"][0]["message"]["content"] = (
-                processor.get_combined_content(content_chunks)
-            )
+            response["choices"][0]["message"][
+                "content"
+            ] = processor.get_combined_content(content_chunks)
 
         audio_chunks = [
             chunk