diff --git a/docs/my-website/docs/debugging/local_debugging.md b/docs/my-website/docs/debugging/local_debugging.md
index 87faef73e..a9409bfab 100644
--- a/docs/my-website/docs/debugging/local_debugging.md
+++ b/docs/my-website/docs/debugging/local_debugging.md
@@ -23,6 +23,14 @@ response = completion(model="gpt-3.5-turbo", messages=messages)
 response = completion("command-nightly", messages)
 ```
 
+## JSON Logs 
+
+If you need to store the logs as JSON, just set the `litellm.json_logs = True`.
+
+We currently just log the raw POST request from litellm as a JSON - [**See Code**]. 
+
+[Share feedback here](https://github.com/BerriAI/litellm/issues)
+
 ## Logger Function 
 But sometimes all you care about is seeing exactly what's getting sent to your api call and what's being returned - e.g. if the api call is failing, why is that happening? what are the exact params being set? 
 
diff --git a/litellm/__init__.py b/litellm/__init__.py
index 49287d12f..a3d61bce1 100644
--- a/litellm/__init__.py
+++ b/litellm/__init__.py
@@ -2,7 +2,7 @@
 import threading, requests, os
 from typing import Callable, List, Optional, Dict, Union, Any, Literal
 from litellm.caching import Cache
-from litellm._logging import set_verbose, _turn_on_debug, verbose_logger
+from litellm._logging import set_verbose, _turn_on_debug, verbose_logger, json_logs
 from litellm.proxy._types import (
     KeyManagementSystem,
     KeyManagementSettings,
diff --git a/litellm/_logging.py b/litellm/_logging.py
index 4f7e46446..f31ee41f8 100644
--- a/litellm/_logging.py
+++ b/litellm/_logging.py
@@ -1,7 +1,7 @@
 import logging
 
 set_verbose = False
-
+json_logs = False
 # Create a handler for the logger (you may need to adapt this based on your needs)
 handler = logging.StreamHandler()
 handler.setLevel(logging.DEBUG)
diff --git a/litellm/integrations/langsmith.py b/litellm/integrations/langsmith.py
index 8e37a1ec1..415f3d2d2 100644
--- a/litellm/integrations/langsmith.py
+++ b/litellm/integrations/langsmith.py
@@ -73,10 +73,6 @@ class LangsmithLogger:
                 elif type(value) != dict and is_serializable(value=value):
                     new_kwargs[key] = value
 
-            print(f"type of response: {type(response_obj)}")
-            for k, v in new_kwargs.items():
-                print(f"key={k}, type of arg: {type(v)}, value={v}")
-
             if isinstance(response_obj, BaseModel):
                 try:
                     response_obj = response_obj.model_dump()
diff --git a/litellm/utils.py b/litellm/utils.py
index 302d18e99..e5f7f9d11 100644
--- a/litellm/utils.py
+++ b/litellm/utils.py
@@ -1202,7 +1202,14 @@ class Logging:
             if verbose_logger.level == 0:
                 # this means verbose logger was not switched on - user is in litellm.set_verbose=True
                 print_verbose(f"\033[92m{curl_command}\033[0m\n")
-            verbose_logger.info(f"\033[92m{curl_command}\033[0m\n")
+
+            if litellm.json_logs:
+                verbose_logger.info(
+                    "POST Request Sent from LiteLLM",
+                    extra={"api_base": {api_base}, **masked_headers},
+                )
+            else:
+                verbose_logger.info(f"\033[92m{curl_command}\033[0m\n")
             if self.logger_fn and callable(self.logger_fn):
                 try:
                     self.logger_fn(