diff --git a/litellm/cost_calculator.py b/litellm/cost_calculator.py
index 824180ac36..4ea22dbd90 100644
--- a/litellm/cost_calculator.py
+++ b/litellm/cost_calculator.py
@@ -1,5 +1,6 @@
 # What is this?
 ## File for 'response_cost' calculation in Logging
+import logging
 import time
 from functools import lru_cache
 from typing import TYPE_CHECKING, Any, List, Literal, Optional, Tuple, Union, cast
@@ -774,10 +775,11 @@ def _apply_cost_discount(
         discount_amount = original_cost * discount_percent
         final_cost = original_cost - discount_amount
 
-        verbose_logger.debug(
-            f"Applied {discount_percent*100}% discount to {custom_llm_provider}: "
-            f"${original_cost:.6f} -> ${final_cost:.6f} (saved ${discount_amount:.6f})"
-        )
+        if verbose_logger.isEnabledFor(logging.DEBUG):
+            verbose_logger.debug(
+                f"Applied {discount_percent*100}% discount to {custom_llm_provider}: "
+                f"${original_cost:.6f} -> ${final_cost:.6f} (saved ${discount_amount:.6f})"
+            )
 
         return final_cost, discount_percent, discount_amount
 
@@ -807,17 +809,20 @@ def _apply_cost_margin(
     margin_config = None
     if custom_llm_provider and custom_llm_provider in litellm.cost_margin_config:
         margin_config = litellm.cost_margin_config[custom_llm_provider]
-        verbose_logger.debug(
-            f"Found provider-specific margin config for {custom_llm_provider}: {margin_config}"
-        )
+        if verbose_logger.isEnabledFor(logging.DEBUG):
+            verbose_logger.debug(
+                f"Found provider-specific margin config for {custom_llm_provider}: {margin_config}"
+            )
     elif "global" in litellm.cost_margin_config:
         margin_config = litellm.cost_margin_config["global"]
-        verbose_logger.debug(f"Using global margin config: {margin_config}")
+        if verbose_logger.isEnabledFor(logging.DEBUG):
+            verbose_logger.debug(f"Using global margin config: {margin_config}")
     else:
-        verbose_logger.debug(
-            f"No margin config found. Provider: {custom_llm_provider}, "
-            f"Available configs: {list(litellm.cost_margin_config.keys())}"
-        )
+        if verbose_logger.isEnabledFor(logging.DEBUG):
+            verbose_logger.debug(
+                f"No margin config found. Provider: {custom_llm_provider}, "
+                f"Available configs: {list(litellm.cost_margin_config.keys())}"
+            )
 
     if margin_config is not None:
         # Handle different margin config formats
@@ -836,11 +841,12 @@ def _apply_cost_margin(
 
         final_cost = original_cost + margin_total_amount
 
-        verbose_logger.debug(
-            f"Applied margin to {custom_llm_provider or 'global'}: "
-            f"${original_cost:.6f} -> ${final_cost:.6f} "
-            f"(margin: {margin_percent*100 if margin_percent > 0 else 0}% + ${margin_fixed_amount:.6f} = ${margin_total_amount:.6f})"
-        )
+        if verbose_logger.isEnabledFor(logging.DEBUG):
+            verbose_logger.debug(
+                f"Applied margin to {custom_llm_provider or 'global'}: "
+                f"${original_cost:.6f} -> ${final_cost:.6f} "
+                f"(margin: {margin_percent*100 if margin_percent > 0 else 0}% + ${margin_fixed_amount:.6f} = ${margin_total_amount:.6f})"
+            )
 
         return final_cost, margin_percent, margin_fixed_amount, margin_total_amount
 
@@ -1021,9 +1027,10 @@ def completion_cost(  # noqa: PLR0915
 
         for idx, model in enumerate(potential_model_names):
             try:
-                verbose_logger.debug(
-                    f"selected model name for cost calculation: {model}"
-                )
+                if verbose_logger.isEnabledFor(logging.DEBUG):
+                    verbose_logger.debug(
+                        f"selected model name for cost calculation: {model}"
+                    )
 
                 if completion_response is not None and (
                     isinstance(completion_response, BaseModel)
@@ -2126,3 +2133,5 @@ def handle_realtime_stream_cost_calculation(
     total_cost = input_cost_per_token + output_cost_per_token
 
     return total_cost
+
+
diff --git a/litellm/router.py b/litellm/router.py
index 374f80db36..0f49cf9051 100644
--- a/litellm/router.py
+++ b/litellm/router.py
@@ -1279,9 +1279,7 @@ class Router:
 
             self._update_kwargs_with_deployment(deployment=deployment, kwargs=kwargs)
             kwargs.pop("silent_model", None)  # Ensure it's not in kwargs either
-            # No copy needed - data is only read and spread into new dict below
-            data = litellm_params.copy()  # Use the local copy of litellm_params
-            model_name = data["model"]
+            model_name = litellm_params["model"]
             potential_model_client = self._get_client(
                 deployment=deployment, kwargs=kwargs
             )
@@ -1302,7 +1300,7 @@ class Router:
                 self.routing_strategy_pre_call_checks(deployment=deployment)
 
             input_kwargs = {
-                **data,
+                **litellm_params,
                 "messages": messages,
                 "caching": self.cache_responses,
                 "client": model_client,
@@ -1690,10 +1688,8 @@ class Router:
 
             self._update_kwargs_with_deployment(deployment=deployment, kwargs=kwargs)
             kwargs.pop("silent_model", None)  # Ensure it's not in kwargs either
-            # No copy needed - data is only read and spread into new dict below
-            data = litellm_params.copy()  # Use the local copy of litellm_params
 
-            model_name = data["model"]
+            model_name = litellm_params["model"]
 
             model_client = self._get_async_openai_model_client(
                 deployment=deployment,
@@ -1702,7 +1698,7 @@ class Router:
             self.total_calls[model_name] += 1
 
             input_kwargs = {
-                **data,
+                **litellm_params,
                 "messages": messages,
                 "caching": self.cache_responses,
                 "client": model_client,
@@ -4816,7 +4812,8 @@ class Router:
                 )
             else:
                 response = await self.async_function_with_retries(*args, **kwargs)
-            verbose_router_logger.debug(f"Async Response: {response}")
+            if verbose_router_logger.isEnabledFor(logging.DEBUG):
+                verbose_router_logger.debug(f"Async Response: {response}")
             response = add_fallback_headers_to_response(
                 response=response,
                 attempted_fallbacks=0,
@@ -8013,9 +8010,10 @@ class Router:
             # check if the user sent in a deployment name instead
             healthy_deployments = self._get_deployment_by_litellm_model(model=model)
 
-        verbose_router_logger.debug(
-            f"initial list of deployments: {healthy_deployments}"
-        )
+        if verbose_router_logger.isEnabledFor(logging.DEBUG):
+            verbose_router_logger.debug(
+                f"initial list of deployments: {healthy_deployments}"
+            )
 
         if len(healthy_deployments) == 0:
             # Check for default fallbacks if no deployments are found for the requested model
@@ -8086,18 +8084,20 @@ class Router:
             request_kwargs=request_kwargs,
         )
 
-        verbose_router_logger.debug(
-            f"healthy_deployments after team filter: {healthy_deployments}"
-        )
+        if verbose_router_logger.isEnabledFor(logging.DEBUG):
+            verbose_router_logger.debug(
+                f"healthy_deployments after team filter: {healthy_deployments}"
+            )
 
         healthy_deployments = filter_web_search_deployments(
             healthy_deployments=healthy_deployments,
             request_kwargs=request_kwargs,
         )
 
-        verbose_router_logger.debug(
-            f"healthy_deployments after web search filter: {healthy_deployments}"
-        )
+        if verbose_router_logger.isEnabledFor(logging.DEBUG):
+            verbose_router_logger.debug(
+                f"healthy_deployments after web search filter: {healthy_deployments}"
+            )
 
         if isinstance(healthy_deployments, dict):
             return healthy_deployments
@@ -8105,10 +8105,10 @@ class Router:
         cooldown_deployments = await _async_get_cooldown_deployments(
             litellm_router_instance=self, parent_otel_span=parent_otel_span
         )
-        verbose_router_logger.debug(
-            f"async cooldown deployments: {cooldown_deployments}"
-        )
-        verbose_router_logger.debug(f"cooldown_deployments: {cooldown_deployments}")
+        if verbose_router_logger.isEnabledFor(logging.DEBUG):
+            verbose_router_logger.debug(
+                f"cooldown deployments: {cooldown_deployments}"
+            )
         healthy_deployments = self._filter_cooldown_deployments(
             healthy_deployments=healthy_deployments,
             cooldown_deployments=cooldown_deployments,
@@ -8784,7 +8784,8 @@ class Router:
         Returns:
             List of healthy deployments
         """
-        verbose_router_logger.debug(f"cooldown deployments: {cooldown_deployments}")
+        if verbose_router_logger.isEnabledFor(logging.DEBUG):
+            verbose_router_logger.debug(f"cooldown deployments: {cooldown_deployments}")
         # Convert to set for O(1) lookup and use list comprehension for O(n) filtering
         cooldown_set = set(cooldown_deployments)
         return [
@@ -8947,3 +8948,4 @@ class Router:
         litellm._async_failure_callback = []
         self.retry_policy = None
         self.flush_cache()
+
diff --git a/litellm/utils.py b/litellm/utils.py
index 7109f7aa88..27e67f4a81 100644
--- a/litellm/utils.py
+++ b/litellm/utils.py
@@ -5809,7 +5809,8 @@ def get_model_info(model: str, custom_llm_provider: Optional[str] = None) -> Mod
             if value is not None:
                 _model_info[key] = value  # type: ignore
 
-    verbose_logger.debug(f"model_info: {_model_info}")
+    if verbose_logger.isEnabledFor(logging.DEBUG):
+        verbose_logger.debug(f"model_info: {_model_info}")
 
     returned_model_info = ModelInfo(
         **_model_info, supported_openai_params=supported_openai_params