diff --git a/litellm/integrations/anthropic_cache_control_hook.py b/litellm/integrations/anthropic_cache_control_hook.py
index 5c75e452ab..c138b3cc25 100644
--- a/litellm/integrations/anthropic_cache_control_hook.py
+++ b/litellm/integrations/anthropic_cache_control_hook.py
@@ -28,7 +28,6 @@ class AnthropicCacheControlHook(CustomPromptManagement):
         prompt_id: Optional[str],
         prompt_variables: Optional[dict],
         dynamic_callback_params: StandardCallbackDynamicParams,
-        prompt_label: Optional[str] = None,
     ) -> Tuple[str, List[AllMessageValues], dict]:
         """
         Apply cache control directives based on specified injection points.
@@ -80,10 +79,10 @@ class AnthropicCacheControlHook(CustomPromptManagement):
         # Case 1: Target by specific index
         if targetted_index is not None:
             if 0 <= targetted_index < len(messages):
-                messages[
-                    targetted_index
-                ] = AnthropicCacheControlHook._safe_insert_cache_control_in_message(
-                    messages[targetted_index], control
+                messages[targetted_index] = (
+                    AnthropicCacheControlHook._safe_insert_cache_control_in_message(
+                        messages[targetted_index], control
+                    )
                 )
         # Case 2: Target by role
         elif targetted_role is not None:
diff --git a/litellm/integrations/custom_logger.py b/litellm/integrations/custom_logger.py
index ce97b9a292..960dc715e7 100644
--- a/litellm/integrations/custom_logger.py
+++ b/litellm/integrations/custom_logger.py
@@ -87,7 +87,6 @@ class CustomLogger:  # https://docs.litellm.ai/docs/observability/custom_callbac
         dynamic_callback_params: StandardCallbackDynamicParams,
         litellm_logging_obj: LiteLLMLoggingObj,
         tools: Optional[List[Dict]] = None,
-        prompt_label: Optional[str] = None,
     ) -> Tuple[str, List[AllMessageValues], dict]:
         """
         Returns:
@@ -105,7 +104,6 @@ class CustomLogger:  # https://docs.litellm.ai/docs/observability/custom_callbac
         prompt_id: Optional[str],
         prompt_variables: Optional[dict],
         dynamic_callback_params: StandardCallbackDynamicParams,
-        prompt_label: Optional[str] = None,
     ) -> Tuple[str, List[AllMessageValues], dict]:
         """
         Returns:
diff --git a/litellm/integrations/custom_prompt_management.py b/litellm/integrations/custom_prompt_management.py
index 061aadc3c0..9d05e7b242 100644
--- a/litellm/integrations/custom_prompt_management.py
+++ b/litellm/integrations/custom_prompt_management.py
@@ -18,7 +18,6 @@ class CustomPromptManagement(CustomLogger, PromptManagementBase):
         prompt_id: Optional[str],
         prompt_variables: Optional[dict],
         dynamic_callback_params: StandardCallbackDynamicParams,
-        prompt_label: Optional[str] = None,
     ) -> Tuple[str, List[AllMessageValues], dict]:
         """
         Returns:
@@ -44,7 +43,6 @@ class CustomPromptManagement(CustomLogger, PromptManagementBase):
         prompt_id: str,
         prompt_variables: Optional[dict],
         dynamic_callback_params: StandardCallbackDynamicParams,
-        prompt_label: Optional[str] = None,
     ) -> PromptManagementClient:
         raise NotImplementedError(
             "Custom prompt management does not support compile prompt helper"
diff --git a/litellm/integrations/humanloop.py b/litellm/integrations/humanloop.py
index c62ab1110f..853fbe148c 100644
--- a/litellm/integrations/humanloop.py
+++ b/litellm/integrations/humanloop.py
@@ -155,8 +155,11 @@ class HumanloopLogger(CustomLogger):
         prompt_id: Optional[str],
         prompt_variables: Optional[dict],
         dynamic_callback_params: StandardCallbackDynamicParams,
-        prompt_label: Optional[str] = None,
-    ) -> Tuple[str, List[AllMessageValues], dict,]:
+    ) -> Tuple[
+        str,
+        List[AllMessageValues],
+        dict,
+    ]:
         humanloop_api_key = dynamic_callback_params.get(
             "humanloop_api_key"
         ) or get_secret_str("HUMANLOOP_API_KEY")
diff --git a/litellm/integrations/langfuse/langfuse_prompt_management.py b/litellm/integrations/langfuse/langfuse_prompt_management.py
index 8fe9cb63de..b4149d7ad9 100644
--- a/litellm/integrations/langfuse/langfuse_prompt_management.py
+++ b/litellm/integrations/langfuse/langfuse_prompt_management.py
@@ -130,12 +130,9 @@ class LangfusePromptManagement(LangFuseLogger, PromptManagementBase, CustomLogge
         return "langfuse"
 
     def _get_prompt_from_id(
-        self,
-        langfuse_prompt_id: str,
-        langfuse_client: LangfuseClass,
-        prompt_label: Optional[str] = None,
+        self, langfuse_prompt_id: str, langfuse_client: LangfuseClass
     ) -> PROMPT_CLIENT:
-        return langfuse_client.get_prompt(langfuse_prompt_id, label=prompt_label)
+        return langfuse_client.get_prompt(langfuse_prompt_id)
 
     def _compile_prompt(
         self,
@@ -179,8 +176,11 @@ class LangfusePromptManagement(LangFuseLogger, PromptManagementBase, CustomLogge
         dynamic_callback_params: StandardCallbackDynamicParams,
         litellm_logging_obj: LiteLLMLoggingObj,
         tools: Optional[List[Dict]] = None,
-        prompt_label: Optional[str] = None,
-    ) -> Tuple[str, List[AllMessageValues], dict,]:
+    ) -> Tuple[
+        str,
+        List[AllMessageValues],
+        dict,
+    ]:
         return self.get_chat_completion_prompt(
             model,
             messages,
@@ -188,7 +188,6 @@ class LangfusePromptManagement(LangFuseLogger, PromptManagementBase, CustomLogge
             prompt_id,
             prompt_variables,
             dynamic_callback_params,
-            prompt_label=prompt_label,
         )
 
     def should_run_prompt_management(
@@ -212,7 +211,6 @@ class LangfusePromptManagement(LangFuseLogger, PromptManagementBase, CustomLogge
         prompt_id: str,
         prompt_variables: Optional[dict],
         dynamic_callback_params: StandardCallbackDynamicParams,
-        prompt_label: Optional[str] = None,
     ) -> PromptManagementClient:
         langfuse_client = langfuse_client_init(
             langfuse_public_key=dynamic_callback_params.get("langfuse_public_key"),
@@ -221,9 +219,7 @@ class LangfusePromptManagement(LangFuseLogger, PromptManagementBase, CustomLogge
             langfuse_host=dynamic_callback_params.get("langfuse_host"),
         )
         langfuse_prompt_client = self._get_prompt_from_id(
-            langfuse_prompt_id=prompt_id,
-            langfuse_client=langfuse_client,
-            prompt_label=prompt_label,
+            langfuse_prompt_id=prompt_id, langfuse_client=langfuse_client
         )
 
         ## SET PROMPT
diff --git a/litellm/integrations/prompt_management_base.py b/litellm/integrations/prompt_management_base.py
index c9e7adbccb..270c34be8a 100644
--- a/litellm/integrations/prompt_management_base.py
+++ b/litellm/integrations/prompt_management_base.py
@@ -33,7 +33,6 @@ class PromptManagementBase(ABC):
         prompt_id: str,
         prompt_variables: Optional[dict],
         dynamic_callback_params: StandardCallbackDynamicParams,
-        prompt_label: Optional[str] = None,
     ) -> PromptManagementClient:
         pass
 
@@ -50,13 +49,11 @@ class PromptManagementBase(ABC):
         prompt_variables: Optional[dict],
         client_messages: List[AllMessageValues],
         dynamic_callback_params: StandardCallbackDynamicParams,
-        prompt_label: Optional[str] = None,
     ) -> PromptManagementClient:
         compiled_prompt_client = self._compile_prompt_helper(
             prompt_id=prompt_id,
             prompt_variables=prompt_variables,
             dynamic_callback_params=dynamic_callback_params,
-            prompt_label=prompt_label,
         )
 
         try:
@@ -85,7 +82,6 @@ class PromptManagementBase(ABC):
         prompt_id: Optional[str],
         prompt_variables: Optional[dict],
         dynamic_callback_params: StandardCallbackDynamicParams,
-        prompt_label: Optional[str] = None,
     ) -> Tuple[str, List[AllMessageValues], dict]:
         if prompt_id is None:
             raise ValueError("prompt_id is required for Prompt Management Base class")
@@ -99,7 +95,6 @@ class PromptManagementBase(ABC):
             prompt_variables=prompt_variables,
             client_messages=messages,
             dynamic_callback_params=dynamic_callback_params,
-            prompt_label=prompt_label,
         )
 
         completed_messages = prompt_template["completed_messages"] or messages
diff --git a/litellm/integrations/vector_stores/bedrock_vector_store.py b/litellm/integrations/vector_stores/bedrock_vector_store.py
index 9015757000..e0af1a6636 100644
--- a/litellm/integrations/vector_stores/bedrock_vector_store.py
+++ b/litellm/integrations/vector_stores/bedrock_vector_store.py
@@ -75,7 +75,6 @@ class BedrockVectorStore(BaseVectorStore, BaseAWSLLM):
         dynamic_callback_params: StandardCallbackDynamicParams,
         litellm_logging_obj: LiteLLMLoggingObj,
         tools: Optional[List[Dict]] = None,
-        prompt_label: Optional[str] = None,
     ) -> Tuple[str, List[AllMessageValues], dict]:
         """
         Retrieves the context from the Bedrock Knowledge Base and appends it to the messages.
@@ -100,11 +99,10 @@ class BedrockVectorStore(BaseVectorStore, BaseAWSLLM):
                     f"Bedrock Knowledge Base Response: {bedrock_kb_response}"
                 )
 
-                (
-                    context_message,
-                    context_string,
-                ) = self.get_chat_completion_message_from_bedrock_kb_response(
-                    bedrock_kb_response
+                context_message, context_string = (
+                    self.get_chat_completion_message_from_bedrock_kb_response(
+                        bedrock_kb_response
+                    )
                 )
                 if context_message is not None:
                     messages.append(context_message)
@@ -128,9 +126,9 @@ class BedrockVectorStore(BaseVectorStore, BaseAWSLLM):
                     )
                 )
 
-            litellm_logging_obj.model_call_details[
-                "vector_store_request_metadata"
-            ] = vector_store_request_metadata
+            litellm_logging_obj.model_call_details["vector_store_request_metadata"] = (
+                vector_store_request_metadata
+            )
 
         return model, messages, non_default_params
 
@@ -142,9 +140,9 @@ class BedrockVectorStore(BaseVectorStore, BaseAWSLLM):
         """
         Transform a BedrockKBResponse to a VectorStoreSearchResponse
         """
-        retrieval_results: Optional[
-            List[BedrockKBRetrievalResult]
-        ] = bedrock_kb_response.get("retrievalResults", None)
+        retrieval_results: Optional[List[BedrockKBRetrievalResult]] = (
+            bedrock_kb_response.get("retrievalResults", None)
+        )
         vector_store_search_response: VectorStoreSearchResponse = (
             VectorStoreSearchResponse(search_query=query, data=[])
         )
diff --git a/litellm/litellm_core_utils/litellm_logging.py b/litellm/litellm_core_utils/litellm_logging.py
index dc5cffa229..88ce34245a 100644
--- a/litellm/litellm_core_utils/litellm_logging.py
+++ b/litellm/litellm_core_utils/litellm_logging.py
@@ -539,7 +539,6 @@ class Logging(LiteLLMLoggingBaseClass):
         prompt_id: Optional[str],
         prompt_variables: Optional[dict],
         prompt_management_logger: Optional[CustomLogger] = None,
-        prompt_label: Optional[str] = None,
     ) -> Tuple[str, List[AllMessageValues], dict]:
         custom_logger = (
             prompt_management_logger
@@ -560,7 +559,6 @@ class Logging(LiteLLMLoggingBaseClass):
                 prompt_id=prompt_id,
                 prompt_variables=prompt_variables,
                 dynamic_callback_params=self.standard_callback_dynamic_params,
-                prompt_label=prompt_label,
             )
         self.messages = messages
         return model, messages, non_default_params
@@ -574,7 +572,6 @@ class Logging(LiteLLMLoggingBaseClass):
         prompt_variables: Optional[dict],
         prompt_management_logger: Optional[CustomLogger] = None,
         tools: Optional[List[Dict]] = None,
-        prompt_label: Optional[str] = None,
     ) -> Tuple[str, List[AllMessageValues], dict]:
         custom_logger = (
             prompt_management_logger
@@ -597,7 +594,6 @@ class Logging(LiteLLMLoggingBaseClass):
                 dynamic_callback_params=self.standard_callback_dynamic_params,
                 litellm_logging_obj=self,
                 tools=tools,
-                prompt_label=prompt_label,
             )
         self.messages = messages
         return model, messages, non_default_params
diff --git a/litellm/main.py b/litellm/main.py
index 1c1f4879cc..7cae5acd97 100644
--- a/litellm/main.py
+++ b/litellm/main.py
@@ -97,7 +97,6 @@ from litellm.utils import (
     get_optional_params_image_gen,
     get_optional_params_transcription,
     get_secret,
-    get_standard_openai_params,
     mock_completion_streaming_obj,
     read_config_args,
     supports_httpx_timeout,
@@ -429,7 +428,6 @@ async def acompletion(
             prompt_id=kwargs.get("prompt_id", None),
             prompt_variables=kwargs.get("prompt_variables", None),
             tools=tools,
-            prompt_label=kwargs.get("prompt_label", None),
         )
 
     #########################################################
@@ -985,7 +983,6 @@ def completion(  # type: ignore # noqa: PLR0915
         assistant_continue_message=assistant_continue_message,
     )
     ######## end of unpacking kwargs ###########
-    standard_openai_params = get_standard_openai_params(params=args)
     non_default_params = get_non_default_completion_params(kwargs=kwargs)
     litellm_params = {}  # used to prevent unbound var errors
     ## PROMPT MANAGEMENT HOOKS ##
@@ -1004,7 +1001,6 @@ def completion(  # type: ignore # noqa: PLR0915
             non_default_params=non_default_params,
             prompt_id=prompt_id,
             prompt_variables=prompt_variables,
-            prompt_label=kwargs.get("prompt_label", None),
         )
 
     try:
@@ -1238,13 +1234,10 @@ def completion(  # type: ignore # noqa: PLR0915
             max_retries=max_retries,
             timeout=timeout,
         )
-        cast(LiteLLMLoggingObj, logging).update_environment_variables(
+        logging.update_environment_variables(
             model=model,
             user=user,
-            optional_params={
-                **standard_openai_params,
-                **non_default_params,
-            },  # [IMPORTANT] - using standard_openai_params ensures consistent params logged to langfuse for finetuning / eval datasets.
+            optional_params=optional_params,
             litellm_params=litellm_params,
             custom_llm_provider=custom_llm_provider,
         )
diff --git a/litellm/proxy/_new_secret_config.yaml b/litellm/proxy/_new_secret_config.yaml
index a67ce25468..78880ba55c 100644
--- a/litellm/proxy/_new_secret_config.yaml
+++ b/litellm/proxy/_new_secret_config.yaml
@@ -1,8 +1,8 @@
 model_list:
-  - model_name: "gemini-2.0-flash-gemini"
+  - model_name: "gemini-2.0-flash"
     litellm_params:
-      model: gemini/gemini-2.0-flash
-  - model_name: "gpt-4o-mini-openai"
+      model: gemini/gemini-2.0-flash-live-001
+  - model_name: "gpt-4.1-openai"
     litellm_params:
       model: gpt-4.1-mini-2025-04-14
       api_key: os.environ/OPENAI_API_KEY
@@ -71,16 +71,6 @@ model_list:
       model: mistral/*
       api_key: os.environ/MISTRAL_API_KEY
       access_groups: ["beta-models"]
-  - model_name: my-langfuse-model
-    litellm_params:
-      model: langfuse/gpt-3.5-turbo
-      prompt_id: "jokes"
-      prompt_label: "latest"
-      api_key: os.environ/OPENAI_API_KEY
 
 litellm_settings:
-  callbacks: ["langfuse"]
-
-general_settings:
-  store_model_in_db: true
-  store_prompts_in_spend_logs: true
+  cache: true
\ No newline at end of file
diff --git a/litellm/proxy/auth/auth_checks.py b/litellm/proxy/auth/auth_checks.py
index 1ac694f947..3c759e839e 100644
--- a/litellm/proxy/auth/auth_checks.py
+++ b/litellm/proxy/auth/auth_checks.py
@@ -670,20 +670,15 @@ class UserObjectCache:
         - update user object in cache
         """
         if isinstance(user_object, LiteLLM_UserTable):
-            user_object_dict = user_object.model_dump()
-        else:
-            user_object_dict = user_object
-
-        for k, v in user_object_dict.items():
-            if isinstance(v, datetime):
-                user_object_dict[k] = v.isoformat()
-        await self.user_api_key_cache.async_set_cache(
-            key=user_id, value=user_object_dict
-        )
+            user_object = user_object.model_dump()
+            for k, v in user_object.items():
+                if isinstance(v, datetime):
+                    user_object[k] = v.isoformat()
+        await self.user_api_key_cache.async_set_cache(key=user_id, value=user_object)
         if self.internal_usage_cache is not None:
             await self.internal_usage_cache.async_set_cache(
                 key=user_id,
-                value=user_object_dict,
+                value=user_object,
                 litellm_parent_otel_span=litellm_parent_otel_span,
             )
 
diff --git a/litellm/proxy/custom_prompt_management.py b/litellm/proxy/custom_prompt_management.py
index 8cf20da5e9..fc16f4a490 100644
--- a/litellm/proxy/custom_prompt_management.py
+++ b/litellm/proxy/custom_prompt_management.py
@@ -15,7 +15,6 @@ class X42PromptManagement(CustomPromptManagement):
         prompt_id: Optional[str],
         prompt_variables: Optional[dict],
         dynamic_callback_params: StandardCallbackDynamicParams,
-        prompt_label: Optional[str] = None,
     ) -> Tuple[str, List[AllMessageValues], dict]:
         """
         Returns:
diff --git a/litellm/router.py b/litellm/router.py
index f5fa188602..4b562d669a 100644
--- a/litellm/router.py
+++ b/litellm/router.py
@@ -1700,13 +1700,9 @@ class Router:
             specific_deployment=kwargs.pop("specific_deployment", None),
         )
 
-        self._update_kwargs_with_deployment(
-            deployment=prompt_management_deployment, kwargs=kwargs
+        litellm_model = prompt_management_deployment["litellm_params"].get(
+            "model", None
         )
-        data = prompt_management_deployment["litellm_params"].copy()
-
-        litellm_model = data.get("model", None)
-
         prompt_id = kwargs.get("prompt_id") or prompt_management_deployment[
             "litellm_params"
         ].get("prompt_id", None)
@@ -1715,9 +1711,6 @@ class Router:
         ) or prompt_management_deployment["litellm_params"].get(
             "prompt_variables", None
         )
-        prompt_label = kwargs.get("prompt_label", None) or prompt_management_deployment[
-            "litellm_params"
-        ].get("prompt_label", None)
 
         if prompt_id is None or not isinstance(prompt_id, str):
             raise ValueError(
@@ -1738,16 +1731,14 @@ class Router:
             non_default_params=get_non_default_completion_params(kwargs=kwargs),
             prompt_id=prompt_id,
             prompt_variables=prompt_variables,
-            prompt_label=prompt_label,
         )
 
-        kwargs = {**data, **kwargs, **optional_params}
+        kwargs = {**kwargs, **optional_params}
         kwargs["model"] = model
         kwargs["messages"] = messages
         kwargs["litellm_logging_obj"] = litellm_logging_object
         kwargs["prompt_id"] = prompt_id
         kwargs["prompt_variables"] = prompt_variables
-        kwargs["prompt_label"] = prompt_label
 
         _model_list = self.get_model_list(model_name=model)
         if _model_list is None or len(_model_list) == 0:  # if direct call to model
diff --git a/litellm/types/utils.py b/litellm/types/utils.py
index a9acce9a79..9bde73b786 100644
--- a/litellm/types/utils.py
+++ b/litellm/types/utils.py
@@ -2117,7 +2117,6 @@ all_litellm_params = [
     "allowed_openai_params",
     "litellm_session_id",
     "use_litellm_proxy",
-    "prompt_label",
 ] + list(StandardCallbackDynamicParams.__annotations__.keys())
 
 
diff --git a/litellm/utils.py b/litellm/utils.py
index 65d825c979..773196077d 100644
--- a/litellm/utils.py
+++ b/litellm/utils.py
@@ -6835,14 +6835,6 @@ def _add_path_to_api_base(api_base: str, ending_path: str) -> str:
     return str(modified_url.copy_with(params=original_url.params))
 
 
-def get_standard_openai_params(params: dict) -> dict:
-    return {
-        k: v
-        for k, v in params.items()
-        if k in litellm.OPENAI_CHAT_COMPLETION_PARAMS and v is not None
-    }
-
-
 def get_non_default_completion_params(kwargs: dict) -> dict:
     openai_params = litellm.OPENAI_CHAT_COMPLETION_PARAMS
     default_params = openai_params + all_litellm_params
diff --git a/tests/litellm/integrations/test_custom_prompt_management.py b/tests/litellm/integrations/test_custom_prompt_management.py
index f5855abf71..09ba32b203 100644
--- a/tests/litellm/integrations/test_custom_prompt_management.py
+++ b/tests/litellm/integrations/test_custom_prompt_management.py
@@ -33,7 +33,6 @@ class TestCustomPromptManagement(CustomPromptManagement):
         prompt_id: Optional[str],
         prompt_variables: Optional[dict],
         dynamic_callback_params: StandardCallbackDynamicParams,
-        prompt_label: Optional[str],
     ) -> Tuple[str, List[AllMessageValues], dict]:
         print(
             "TestCustomPromptManagement: running get_chat_completion_prompt for prompt_id: ",
diff --git a/tests/logging_callback_tests/langfuse_expected_request_body/completion.json b/tests/logging_callback_tests/langfuse_expected_request_body/completion.json
index b2a2c83b51..4dfe9630ff 100644
--- a/tests/logging_callback_tests/langfuse_expected_request_body/completion.json
+++ b/tests/logging_callback_tests/langfuse_expected_request_body/completion.json
@@ -62,7 +62,9 @@
                 "endTime": "2025-01-16T11:28:55.124353-08:00",
                 "completionStartTime": "2025-01-16T11:28:55.124353-08:00",
                 "model": "gpt-3.5-turbo",
-                "modelParameters": {},
+                "modelParameters": {
+                    "extra_body": "{}"
+                },
                 "usage": {
                     "input": 10,
                     "output": 20,
diff --git a/tests/logging_callback_tests/langfuse_expected_request_body/completion_with_complex_metadata.json b/tests/logging_callback_tests/langfuse_expected_request_body/completion_with_complex_metadata.json
index 9d30a82b8d..4c5f345eaa 100644
--- a/tests/logging_callback_tests/langfuse_expected_request_body/completion_with_complex_metadata.json
+++ b/tests/logging_callback_tests/langfuse_expected_request_body/completion_with_complex_metadata.json
@@ -103,7 +103,9 @@
                 "endTime": "2025-01-22T09:27:51.702048-08:00",
                 "completionStartTime": "2025-01-22T09:27:51.702048-08:00",
                 "model": "gpt-3.5-turbo",
-                "modelParameters": {},
+                "modelParameters": {
+                    "extra_body": "{}"
+                },
                 "usage": {
                     "input": 10,
                     "output": 20,
diff --git a/tests/logging_callback_tests/langfuse_expected_request_body/completion_with_langfuse_metadata.json b/tests/logging_callback_tests/langfuse_expected_request_body/completion_with_langfuse_metadata.json
index 7c2fc6c5f3..d4882c962d 100644
--- a/tests/logging_callback_tests/langfuse_expected_request_body/completion_with_langfuse_metadata.json
+++ b/tests/logging_callback_tests/langfuse_expected_request_body/completion_with_langfuse_metadata.json
@@ -81,7 +81,9 @@
                 "endTime": "2025-01-22T09:19:11.234200-08:00",
                 "completionStartTime": "2025-01-22T09:19:11.234200-08:00",
                 "model": "gpt-3.5-turbo",
-                "modelParameters": {},
+                "modelParameters": {
+                    "extra_body": "{}"
+                },
                 "usage": {
                     "input": 10,
                     "output": 20,
diff --git a/tests/logging_callback_tests/langfuse_expected_request_body/completion_with_no_choices.json b/tests/logging_callback_tests/langfuse_expected_request_body/completion_with_no_choices.json
index cb9f007c2d..0683ff9ba9 100644
--- a/tests/logging_callback_tests/langfuse_expected_request_body/completion_with_no_choices.json
+++ b/tests/logging_callback_tests/langfuse_expected_request_body/completion_with_no_choices.json
@@ -52,7 +52,9 @@
                 "endTime": "2025-02-06T16:23:27.644253-08:00",
                 "completionStartTime": "2025-02-06T16:23:27.644253-08:00",
                 "model": "gpt-3.5-turbo",
-                "modelParameters": {},
+                "modelParameters": {
+                    "extra_body": "{}"
+                },
                 "usage": {
                     "input": 10,
                     "output": 10,
diff --git a/tests/logging_callback_tests/langfuse_expected_request_body/completion_with_tags.json b/tests/logging_callback_tests/langfuse_expected_request_body/completion_with_tags.json
index c4cbe1e68a..3a87c0ad73 100644
--- a/tests/logging_callback_tests/langfuse_expected_request_body/completion_with_tags.json
+++ b/tests/logging_callback_tests/langfuse_expected_request_body/completion_with_tags.json
@@ -71,7 +71,9 @@
                 "endTime": "2025-01-22T07:31:28.962389-08:00",
                 "completionStartTime": "2025-01-22T07:31:28.962389-08:00",
                 "model": "gpt-3.5-turbo",
-                "modelParameters": {},
+                "modelParameters": {
+                    "extra_body": "{}"
+                },
                 "usage": {
                     "input": 10,
                     "output": 20,
diff --git a/tests/logging_callback_tests/langfuse_expected_request_body/completion_with_tags_stream.json b/tests/logging_callback_tests/langfuse_expected_request_body/completion_with_tags_stream.json
index cd882af614..6495ed947d 100644
--- a/tests/logging_callback_tests/langfuse_expected_request_body/completion_with_tags_stream.json
+++ b/tests/logging_callback_tests/langfuse_expected_request_body/completion_with_tags_stream.json
@@ -71,7 +71,9 @@
                 "endTime": "2025-01-22T08:38:26.015666-08:00",
                 "completionStartTime": "2025-01-22T08:38:26.015666-08:00",
                 "model": "gpt-3.5-turbo",
-                "modelParameters": {},
+                "modelParameters": {
+                    "extra_body": "{}"
+                },
                 "usage": {
                     "input": 10,
                     "output": 20,
diff --git a/tests/logging_callback_tests/langfuse_expected_request_body/complex_metadata.json b/tests/logging_callback_tests/langfuse_expected_request_body/complex_metadata.json
index 5c8d5c5b88..01dcd26488 100644
--- a/tests/logging_callback_tests/langfuse_expected_request_body/complex_metadata.json
+++ b/tests/logging_callback_tests/langfuse_expected_request_body/complex_metadata.json
@@ -78,7 +78,9 @@
                 "endTime": "2025-01-22T09:59:39.365756-08:00",
                 "completionStartTime": "2025-01-22T09:59:39.365756-08:00",
                 "model": "gpt-3.5-turbo",
-                "modelParameters": {},
+                "modelParameters": {
+                    "extra_body": "{}"
+                },
                 "usage": {
                     "input": 10,
                     "output": 20,
diff --git a/tests/logging_callback_tests/langfuse_expected_request_body/complex_metadata_2.json b/tests/logging_callback_tests/langfuse_expected_request_body/complex_metadata_2.json
index 4533262ef4..1b7b91930e 100644
--- a/tests/logging_callback_tests/langfuse_expected_request_body/complex_metadata_2.json
+++ b/tests/logging_callback_tests/langfuse_expected_request_body/complex_metadata_2.json
@@ -70,7 +70,9 @@
                 "endTime": "2025-01-22T10:06:50.958374-08:00",
                 "completionStartTime": "2025-01-22T10:06:50.958374-08:00",
                 "model": "gpt-3.5-turbo",
-                "modelParameters": {},
+                "modelParameters": {
+                    "extra_body": "{}"
+                },
                 "usage": {
                     "input": 10,
                     "output": 20,
diff --git a/tests/logging_callback_tests/langfuse_expected_request_body/empty_metadata.json b/tests/logging_callback_tests/langfuse_expected_request_body/empty_metadata.json
index 39a88320bb..8c1711ee98 100644
--- a/tests/logging_callback_tests/langfuse_expected_request_body/empty_metadata.json
+++ b/tests/logging_callback_tests/langfuse_expected_request_body/empty_metadata.json
@@ -64,7 +64,9 @@
                 "endTime": "2025-01-22T09:59:32.880691-08:00",
                 "completionStartTime": "2025-01-22T09:59:32.880691-08:00",
                 "model": "gpt-3.5-turbo",
-                "modelParameters": {},
+                "modelParameters": {
+                    "extra_body": "{}"
+                },
                 "usage": {
                     "input": 10,
                     "output": 20,
diff --git a/tests/logging_callback_tests/langfuse_expected_request_body/metadata_with_function.json b/tests/logging_callback_tests/langfuse_expected_request_body/metadata_with_function.json
index e73ef0d9ed..0b1309425e 100644
--- a/tests/logging_callback_tests/langfuse_expected_request_body/metadata_with_function.json
+++ b/tests/logging_callback_tests/langfuse_expected_request_body/metadata_with_function.json
@@ -64,7 +64,9 @@
                 "endTime": "2025-01-22T09:59:36.161959-08:00",
                 "completionStartTime": "2025-01-22T09:59:36.161959-08:00",
                 "model": "gpt-3.5-turbo",
-                "modelParameters": {},
+                "modelParameters": {
+                    "extra_body": "{}"
+                },
                 "usage": {
                     "input": 10,
                     "output": 20,
diff --git a/tests/logging_callback_tests/langfuse_expected_request_body/metadata_with_lock.json b/tests/logging_callback_tests/langfuse_expected_request_body/metadata_with_lock.json
index 39a88320bb..8c1711ee98 100644
--- a/tests/logging_callback_tests/langfuse_expected_request_body/metadata_with_lock.json
+++ b/tests/logging_callback_tests/langfuse_expected_request_body/metadata_with_lock.json
@@ -64,7 +64,9 @@
                 "endTime": "2025-01-22T09:59:32.880691-08:00",
                 "completionStartTime": "2025-01-22T09:59:32.880691-08:00",
                 "model": "gpt-3.5-turbo",
-                "modelParameters": {},
+                "modelParameters": {
+                    "extra_body": "{}"
+                },
                 "usage": {
                     "input": 10,
                     "output": 20,
diff --git a/tests/logging_callback_tests/langfuse_expected_request_body/nested_metadata.json b/tests/logging_callback_tests/langfuse_expected_request_body/nested_metadata.json
index efd3bbae32..bb24688aa5 100644
--- a/tests/logging_callback_tests/langfuse_expected_request_body/nested_metadata.json
+++ b/tests/logging_callback_tests/langfuse_expected_request_body/nested_metadata.json
@@ -70,7 +70,9 @@
                 "endTime": "2025-01-22T09:55:28.853979-08:00",
                 "completionStartTime": "2025-01-22T09:55:28.853979-08:00",
                 "model": "gpt-3.5-turbo",
-                "modelParameters": {},
+                "modelParameters": {
+                    "extra_body": "{}"
+                },
                 "usage": {
                     "input": 10,
                     "output": 20,
diff --git a/tests/logging_callback_tests/langfuse_expected_request_body/simple_metadata.json b/tests/logging_callback_tests/langfuse_expected_request_body/simple_metadata.json
index 8cb1cced89..d40ec6bafc 100644
--- a/tests/logging_callback_tests/langfuse_expected_request_body/simple_metadata.json
+++ b/tests/logging_callback_tests/langfuse_expected_request_body/simple_metadata.json
@@ -70,7 +70,9 @@
                 "endTime": "2025-01-22T09:53:53.753431-08:00",
                 "completionStartTime": "2025-01-22T09:53:53.753431-08:00",
                 "model": "gpt-3.5-turbo",
-                "modelParameters": {},
+                "modelParameters": {
+                    "extra_body": "{}"
+                },
                 "usage": {
                     "input": 10,
                     "output": 20,
diff --git a/tests/logging_callback_tests/langfuse_expected_request_body/simple_metadata2.json b/tests/logging_callback_tests/langfuse_expected_request_body/simple_metadata2.json
index 0de688644b..610bc461a1 100644
--- a/tests/logging_callback_tests/langfuse_expected_request_body/simple_metadata2.json
+++ b/tests/logging_callback_tests/langfuse_expected_request_body/simple_metadata2.json
@@ -74,7 +74,9 @@
                 "endTime": "2025-01-22T09:56:35.476236-08:00",
                 "completionStartTime": "2025-01-22T09:56:35.476236-08:00",
                 "model": "gpt-3.5-turbo",
-                "modelParameters": {},
+                "modelParameters": {
+                    "extra_body": "{}"
+                },
                 "usage": {
                     "input": 10,
                     "output": 20,
diff --git a/tests/logging_callback_tests/langfuse_expected_request_body/simple_metadata3.json b/tests/logging_callback_tests/langfuse_expected_request_body/simple_metadata3.json
index f0ad3e9e71..d21c58fdee 100644
--- a/tests/logging_callback_tests/langfuse_expected_request_body/simple_metadata3.json
+++ b/tests/logging_callback_tests/langfuse_expected_request_body/simple_metadata3.json
@@ -78,7 +78,9 @@
                 "endTime": "2025-01-22T09:56:38.785762-08:00",
                 "completionStartTime": "2025-01-22T09:56:38.785762-08:00",
                 "model": "gpt-3.5-turbo",
-                "modelParameters": {},
+                "modelParameters": {
+                    "extra_body": "{}"
+                },
                 "usage": {
                     "input": 10,
                     "output": 20,