diff --git a/llama-index-core/llama_index/core/callbacks/token_counting.py b/llama-index-core/llama_index/core/callbacks/token_counting.py
index a1b5edc207e16..736743dde8f60 100644
--- a/llama-index-core/llama_index/core/callbacks/token_counting.py
+++ b/llama-index-core/llama_index/core/callbacks/token_counting.py
@@ -30,6 +30,7 @@ class TokenCountingEvent:
     completion_token_count: int
     prompt_token_count: int
     total_token_count: int = 0
+    cached_tokens: int = 0 
     event_id: str = ""
 
     def __post_init__(self) -> None:
@@ -56,7 +57,8 @@ def get_tokens_from_response(
 
     possible_input_keys = ("prompt_tokens", "input_tokens")
     possible_output_keys = ("completion_tokens", "output_tokens")
-
+    openai_prompt_tokens_details_key = 'prompt_tokens_details'
+    
     prompt_tokens = 0
     for input_key in possible_input_keys:
         if input_key in usage:
@@ -68,8 +70,12 @@ def get_tokens_from_response(
         if output_key in usage:
             completion_tokens = usage[output_key]
             break
-
-    return prompt_tokens, completion_tokens
+        
+    cached_tokens = 0
+    if openai_prompt_tokens_details_key in usage:
+        cached_tokens = usage[openai_prompt_tokens_details_key]['cached_tokens']  
+        
+    return prompt_tokens, completion_tokens, cached_tokens 
 
 
 def get_llm_token_counts(
@@ -83,9 +89,9 @@ def get_llm_token_counts(
 
         if completion:
             # get from raw or additional_kwargs
-            prompt_tokens, completion_tokens = get_tokens_from_response(completion)
+            prompt_tokens, completion_tokens, cached_tokens = get_tokens_from_response(completion)
         else:
-            prompt_tokens, completion_tokens = 0, 0
+            prompt_tokens, completion_tokens, cached_tokens = 0, 0, 0
 
         if prompt_tokens == 0:
             prompt_tokens = token_counter.get_string_tokens(str(prompt))
@@ -99,6 +105,7 @@ def get_llm_token_counts(
             prompt_token_count=prompt_tokens,
             completion=str(completion),
             completion_token_count=completion_tokens,
+            cached_tokens=cached_tokens,
         )
 
     elif EventPayload.MESSAGES in payload:
@@ -109,9 +116,9 @@ def get_llm_token_counts(
         response_str = str(response)
 
         if response:
-            prompt_tokens, completion_tokens = get_tokens_from_response(response)
+            prompt_tokens, completion_tokens, cached_tokens = get_tokens_from_response(response)
         else:
-            prompt_tokens, completion_tokens = 0, 0
+            prompt_tokens, completion_tokens, cached_tokens = 0, 0, 0
 
         if prompt_tokens == 0:
             prompt_tokens = token_counter.estimate_tokens_in_messages(messages)
@@ -125,6 +132,7 @@ def get_llm_token_counts(
             prompt_token_count=prompt_tokens,
             completion=response_str,
             completion_token_count=completion_tokens,
+            cached_tokens=cached_tokens,
         )
     else:
         return TokenCountingEvent(
@@ -133,6 +141,7 @@ def get_llm_token_counts(
             prompt_token_count=0,
             completion="",
             completion_token_count=0,
+            cached_tokens=0,
         )
 
 
@@ -214,7 +223,9 @@ def on_event_end(
                     "LLM Prompt Token Usage: "
                     f"{self.llm_token_counts[-1].prompt_token_count}\n"
                     "LLM Completion Token Usage: "
-                    f"{self.llm_token_counts[-1].completion_token_count}",
+                    f"{self.llm_token_counts[-1].completion_token_count}"
+                    "LLM Cached Tokens: "
+                    f"{self.llm_token_counts[-1].cached_tokens}",
                 )
         elif (
             event_type == CBEventType.EMBEDDING
@@ -251,6 +262,11 @@ def prompt_llm_token_count(self) -> int:
     def completion_llm_token_count(self) -> int:
         """Get the current total LLM completion token count."""
         return sum([x.completion_token_count for x in self.llm_token_counts])
+    
+    @property
+    def total_cached_token_count(self) -> int:
+        """Get the current total cached token count."""
+        return sum([x.cached_tokens for x in self.llm_token_counts])
 
     @property
     def total_embedding_token_count(self) -> int: