Allow passing thinking param to litellm proxy via client sdk + Code QA Refactor on get_optional_params (get correct values) (#9386)

* fix(litellm_proxy/chat/transformation.py): support 'thinking' param

Fixes https://github.com/BerriAI/litellm/issues/9380

* feat(azure/gpt_transformation.py): add azure audio model support

Closes https://github.com/BerriAI/litellm/issues/6305

* fix(utils.py): use provider_config in common functions

* fix(utils.py): add missing provider configs to get_chat_provider_config

* test: fix test

* fix: fix path

* feat(utils.py): make bedrock invoke nova config baseconfig compatible

* fix: fix linting errors

* fix(azure_ai/transformation.py): remove buggy optional param filtering for azure ai

Removes incorrect check for support tool choice when calling azure ai - prevented calling models with response_format unless on litell model cost map

* fix(amazon_cohere_transformation.py): fix bedrock invoke cohere transformation to inherit from coherechatconfig

* test: fix azure ai tool choice mapping

* fix: fix model cost map to add 'supports_tool_choice' to cohere models

* fix(get_supported_openai_params.py): check if custom llm provider in llm providers

* fix(get_supported_openai_params.py): fix llm provider in list check

* fix: fix ruff check errors

* fix: support defs when calling bedrock nova

* fix(factory.py): fix test

tests/llm_translation/base_llm_unit_tests.py

@@ -474,6 +474,7 @@ class BaseLLMChatTest(ABC):
         """
         PROD Test: ensure nested json schema sent to proxy works as expected.
         """
+        litellm._turn_on_debug()
         from pydantic import BaseModel
         from litellm.utils import supports_response_schema
         from litellm.llms.base_llm.base_utils import type_to_response_format_param