diff --git a/litellm/caching/redis_semantic_cache.py b/litellm/caching/redis_semantic_cache.py
index 1cb1b457cd5..bac58026f18 100644
--- a/litellm/caching/redis_semantic_cache.py
+++ b/litellm/caching/redis_semantic_cache.py
@@ -276,7 +276,7 @@ class RedisSemanticCache(BaseCache):
 
     @classmethod
     def _collect_responses_input_text(cls, value: object, prompt_parts: list[str]) -> None:
-        value = cls._coerce_response_input_value(value)
+        value = cls._function_call_as_prompt(cls._coerce_response_input_value(value))
         if value is None:
             return
 
@@ -292,10 +292,6 @@ class RedisSemanticCache(BaseCache):
             return
 
         if isinstance(value, dict):
-            if value.get("type") == "function_call":
-                prompt_parts.append(tool_call_str(value.get("name"), value.get("arguments")))
-                return
-
             content = value.get("content")
             if content is not None:
                 cls._collect_responses_input_text(content, prompt_parts)
@@ -323,6 +319,12 @@ class RedisSemanticCache(BaseCache):
                     prompt_parts.append(stripped_text)
                     return
 
+    @staticmethod
+    def _function_call_as_prompt(value: object) -> object:
+        if isinstance(value, dict) and value.get("type") == "function_call":
+            return tool_call_str(value.get("name"), value.get("arguments"))
+        return value
+
     @staticmethod
     def _coerce_response_input_value(value: object) -> object:
         model_dump: Final = getattr(value, "model_dump", None)
diff --git a/litellm/litellm_core_utils/prompt_templates/common_utils.py b/litellm/litellm_core_utils/prompt_templates/common_utils.py
index 90e54750fd1..d7fe1849670 100644
--- a/litellm/litellm_core_utils/prompt_templates/common_utils.py
+++ b/litellm/litellm_core_utils/prompt_templates/common_utils.py
@@ -205,7 +205,11 @@ def get_str_from_messages_with_tools(messages: object) -> str:
 
 
 def tool_call_str(name: object, arguments: object) -> str:
-    return json.dumps({"name": name, "arguments": arguments}, separators=(",", ":"), default=str)
+    return f'{{"name":{_compact_json(name)},"arguments":{_compact_json(arguments)}}}'
+
+
+def _compact_json(value: object) -> str:
+    return json.dumps(value, separators=(",", ":"), default=str)
 
 
 def _message_str_with_tools(message: Mapping[str, object]) -> str:
@@ -234,7 +238,9 @@ def _block_str_with_tools(block: Mapping[str, object]) -> str:
 
 
 def _openai_tool_call_str(tool_call: Mapping[str, object]) -> str:
-    function: Final = _as_str_mapping(tool_call.get("function")) or {}
+    function: Final = _as_str_mapping(tool_call.get("function"))
+    if function is None:
+        return tool_call_str(None, None)
     return tool_call_str(function.get("name"), function.get("arguments"))