diff --git a/litellm/tests/test_load_test_router_s3.py b/litellm/tests/test_load_test_router_s3.py
new file mode 100644
index 0000000000..ed3df5f5d1
--- /dev/null
+++ b/litellm/tests/test_load_test_router_s3.py
@@ -0,0 +1,94 @@
+# import sys, os
+# import traceback
+# from dotenv import load_dotenv
+# import copy
+
+# load_dotenv()
+# sys.path.insert(
+#     0, os.path.abspath("../..")
+# )  # Adds the parent directory to the system path
+# import asyncio
+# from litellm import Router, Timeout
+# import time
+# from litellm.caching import Cache
+# import litellm
+
+# litellm.cache = Cache(
+#     type="s3", s3_bucket_name="cache-bucket-litellm", s3_region_name="us-west-2"
+# )
+
+# ### Test calling router with s3 Cache
+
+
+# async def call_acompletion(semaphore, router: Router, input_data):
+#     async with semaphore:
+#         try:
+#             # Use asyncio.wait_for to set a timeout for the task
+#             response = await router.acompletion(**input_data)
+#             # Handle the response as needed
+#             print(response)
+#             return response
+#         except Timeout:
+#             print(f"Task timed out: {input_data}")
+#             return None  # You may choose to return something else or raise an exception
+
+
+# async def main():
+#     # Initialize the Router
+#     model_list = [
+#         {
+#             "model_name": "gpt-3.5-turbo",
+#             "litellm_params": {
+#                 "model": "gpt-3.5-turbo",
+#                 "api_key": os.getenv("OPENAI_API_KEY"),
+#             },
+#         },
+#         {
+#             "model_name": "gpt-3.5-turbo",
+#             "litellm_params": {
+#                 "model": "azure/chatgpt-v-2",
+#                 "api_key": os.getenv("AZURE_API_KEY"),
+#                 "api_base": os.getenv("AZURE_API_BASE"),
+#                 "api_version": os.getenv("AZURE_API_VERSION"),
+#             },
+#         },
+#     ]
+#     router = Router(model_list=model_list, num_retries=3, timeout=10)
+
+#     # Create a semaphore with a capacity of 100
+#     semaphore = asyncio.Semaphore(100)
+
+#     # List to hold all task references
+#     tasks = []
+#     start_time_all_tasks = time.time()
+#     # Launch 1000 tasks
+#     for _ in range(500):
+#         task = asyncio.create_task(
+#             call_acompletion(
+#                 semaphore,
+#                 router,
+#                 {
+#                     "model": "gpt-3.5-turbo",
+#                     "messages": [{"role": "user", "content": "Hey, how's it going?"}],
+#                 },
+#             )
+#         )
+#         tasks.append(task)
+
+#     # Wait for all tasks to complete
+#     responses = await asyncio.gather(*tasks)
+#     # Process responses as needed
+#     # Record the end time for all tasks
+#     end_time_all_tasks = time.time()
+#     # Calculate the total time for all tasks
+#     total_time_all_tasks = end_time_all_tasks - start_time_all_tasks
+#     print(f"Total time for all tasks: {total_time_all_tasks} seconds")
+
+#     # Calculate the average time per response
+#     average_time_per_response = total_time_all_tasks / len(responses)
+#     print(f"Average time per response: {average_time_per_response} seconds")
+#     print(f"NUMBER OF COMPLETED TASKS: {len(responses)}")
+
+
+# # Run the main function
+# asyncio.run(main())