diff --git a/litellm/integrations/helicone.py b/litellm/integrations/helicone.py
index edab68c1c6..b00e145171 100644
--- a/litellm/integrations/helicone.py
+++ b/litellm/integrations/helicone.py
@@ -17,50 +17,50 @@ class HeliconeLogger:
         self.key = os.getenv("HELICONE_API_KEY")
 
     def claude_mapping(self, model, messages, response_obj):
-      from anthropic import HUMAN_PROMPT, AI_PROMPT
+        from anthropic import HUMAN_PROMPT, AI_PROMPT
 
-      prompt = f"{HUMAN_PROMPT}"
-      for message in messages:
-          if "role" in message:
-              if message["role"] == "user":
-                  prompt += f"{HUMAN_PROMPT}{message['content']}"
-              else:
-                  prompt += f"{AI_PROMPT}{message['content']}"
-          else:
-              prompt += f"{HUMAN_PROMPT}{message['content']}"
-      prompt += f"{AI_PROMPT}"
-      claude_provider_request = {"model": model, "prompt": prompt}
+        prompt = f"{HUMAN_PROMPT}"
+        for message in messages:
+            if "role" in message:
+                if message["role"] == "user":
+                    prompt += f"{HUMAN_PROMPT}{message['content']}"
+                else:
+                    prompt += f"{AI_PROMPT}{message['content']}"
+            else:
+                prompt += f"{HUMAN_PROMPT}{message['content']}"
+        prompt += f"{AI_PROMPT}"
+        claude_provider_request = {"model": model, "prompt": prompt}
 
-      choice = response_obj["choices"][0]
-      message = choice["message"]
+        choice = response_obj["choices"][0]
+        message = choice["message"]
 
-      content = []
-      if "tool_calls" in message and message["tool_calls"]:
-          for tool_call in message["tool_calls"]:
-              content.append({
-                  "type": "tool_use",
-                  "id": tool_call["id"],
-                  "name": tool_call["function"]["name"],
-                  "input": tool_call["function"]["arguments"]
-              })
-      elif "content" in message and message["content"]:
-          content = [{"type": "text", "text": message["content"]}]
+        content = []
+        if "tool_calls" in message and message["tool_calls"]:
+            for tool_call in message["tool_calls"]:
+                content.append({
+                    "type": "tool_use",
+                    "id": tool_call["id"],
+                    "name": tool_call["function"]["name"],
+                    "input": tool_call["function"]["arguments"]
+                })
+        elif "content" in message and message["content"]:
+            content = [{"type": "text", "text": message["content"]}]
 
-      claude_response_obj = {
-          "id": response_obj["id"],
-          "type": "message",
-          "role": "assistant",
-          "model": model,
-          "content": content,
-          "stop_reason": choice["finish_reason"],
-          "stop_sequence": None,
-          "usage": {
-              "input_tokens": response_obj["usage"]["prompt_tokens"],
-              "output_tokens": response_obj["usage"]["completion_tokens"]
-          }
-      }
+        claude_response_obj = {
+            "id": response_obj["id"],
+            "type": "message",
+            "role": "assistant",
+            "model": model,
+            "content": content,
+            "stop_reason": choice["finish_reason"],
+            "stop_sequence": None,
+            "usage": {
+                "input_tokens": response_obj["usage"]["prompt_tokens"],
+                "output_tokens": response_obj["usage"]["completion_tokens"]
+            }
+        }
 
-      return claude_provider_request, claude_response_obj
+        return claude_provider_request, claude_response_obj
     
     @staticmethod
     def add_metadata_from_header(litellm_params: dict, metadata: dict) -> dict: