diff --git a/litellm/integrations/prompt_layer.py b/litellm/integrations/prompt_layer.py
new file mode 100644
index 000000000..783434e8f
--- /dev/null
+++ b/litellm/integrations/prompt_layer.py
@@ -0,0 +1,43 @@
+#### What this does ####
+#    On success, logs events to Helicone
+import dotenv, os
+import requests
+import requests
+
+dotenv.load_dotenv()  # Loading env variables using dotenv
+import traceback
+
+class PromptLayer:
+    # Class variables or attributes
+    def __init__(self):
+        # Instance variables
+        self.key = os.getenv("PROMPTLAYER_API_KEY")
+
+    def log_event(self, model, response_obj, start_time, end_time, print_verbose):
+        # Method definition
+        try:
+            print_verbose(
+                f"Prompt Layer Logging - Enters logging function for model {model}"
+            )
+
+            request_response = requests.post(
+            "https://api.promptlayer.com/rest/track-request",
+                json={
+                    "function_name": "openai.Completion.create",
+                    "kwargs": {"engine": "text-ada-001", "prompt": "My name is"},
+                    "tags": ["hello", "world"],
+                    "request_response": response_obj,
+                    "request_start_time": start_time,
+                    "request_end_time": end_time,
+                    "prompt_id": "<PROMPT ID>",
+                    "prompt_input_variables": "<Dictionary of variables for prompt>",
+                    "prompt_version":1,
+                    "api_key": self.key
+                },
+            )
+
+            print_verbose(f"Prompt Layer Logging - final response object: {request_response}")
+        except:
+            # traceback.print_exc()
+            print_verbose(f"Prompt Layer Error - {traceback.format_exc()}")
+            pass