diff --git a/litellm/caching.py b/litellm/caching.py
index 83cfe060b1..ccb62b8827 100644
--- a/litellm/caching.py
+++ b/litellm/caching.py
@@ -373,11 +373,12 @@ class RedisCache(BaseCache):
                         print_verbose(
                             f"Set ASYNC Redis Cache PIPELINE: key: {cache_key}\nValue {cache_value}\nttl={ttl}"
                         )
+                        json_cache_value = json.dumps(cache_value)
                         # Set the value with a TTL if it's provided.
                         if ttl is not None:
-                            pipe.setex(cache_key, ttl, json.dumps(cache_value))
+                            pipe.setex(cache_key, ttl, json_cache_value)
                         else:
-                            pipe.set(cache_key, json.dumps(cache_value))
+                            pipe.set(cache_key, json_cache_value)
                     # Execute the pipeline and return the results.
                     results = await pipe.execute()
 
@@ -810,9 +811,7 @@ class RedisSemanticCache(BaseCache):
 
         # get the prompt
         messages = kwargs["messages"]
-        prompt = ""
-        for message in messages:
-            prompt += message["content"]
+        prompt = "".join(message["content"] for message in messages)
 
         # create an embedding for prompt
         embedding_response = litellm.embedding(
@@ -847,9 +846,7 @@ class RedisSemanticCache(BaseCache):
 
         # get the messages
         messages = kwargs["messages"]
-        prompt = ""
-        for message in messages:
-            prompt += message["content"]
+        prompt = "".join(message["content"] for message in messages)
 
         # convert to embedding
         embedding_response = litellm.embedding(
@@ -909,9 +906,7 @@ class RedisSemanticCache(BaseCache):
 
         # get the prompt
         messages = kwargs["messages"]
-        prompt = ""
-        for message in messages:
-            prompt += message["content"]
+        prompt = "".join(message["content"] for message in messages)
         # create an embedding for prompt
         router_model_names = (
             [m["model_name"] for m in llm_model_list]
@@ -964,9 +959,7 @@ class RedisSemanticCache(BaseCache):
 
         # get the messages
         messages = kwargs["messages"]
-        prompt = ""
-        for message in messages:
-            prompt += message["content"]
+        prompt = "".join(message["content"] for message in messages)
 
         router_model_names = (
             [m["model_name"] for m in llm_model_list]
diff --git a/litellm/router_strategy/lowest_cost.py b/litellm/router_strategy/lowest_cost.py
index fde7781b9b..1670490e16 100644
--- a/litellm/router_strategy/lowest_cost.py
+++ b/litellm/router_strategy/lowest_cost.py
@@ -101,9 +101,6 @@ class LowestCostLoggingHandler(CustomLogger):
                 if precise_minute not in request_count_dict[id]:
                     request_count_dict[id][precise_minute] = {}
 
-                if precise_minute not in request_count_dict[id]:
-                    request_count_dict[id][precise_minute] = {}
-
                 ## TPM
                 request_count_dict[id][precise_minute]["tpm"] = (
                     request_count_dict[id][precise_minute].get("tpm", 0) + total_tokens
diff --git a/litellm/router_strategy/lowest_latency.py b/litellm/router_strategy/lowest_latency.py
index a7b93d344d..81a0133a90 100644
--- a/litellm/router_strategy/lowest_latency.py
+++ b/litellm/router_strategy/lowest_latency.py
@@ -115,9 +115,6 @@ class LowestLatencyLoggingHandler(CustomLogger):
                 if precise_minute not in request_count_dict[id]:
                     request_count_dict[id][precise_minute] = {}
 
-                if precise_minute not in request_count_dict[id]:
-                    request_count_dict[id][precise_minute] = {}
-
                 ## TPM
                 request_count_dict[id][precise_minute]["tpm"] = (
                     request_count_dict[id][precise_minute].get("tpm", 0) + total_tokens