diff --git a/litellm/router.py b/litellm/router.py
index 0d6d108e4d..bf5781c563 100644
--- a/litellm/router.py
+++ b/litellm/router.py
@@ -289,11 +289,7 @@ class Router:
             timeout = kwargs.get("request_timeout", self.timeout)
             kwargs["num_retries"] = kwargs.get("num_retries", self.num_retries)
             kwargs.setdefault("metadata", {}).update({"model_group": model})
-            with concurrent.futures.ThreadPoolExecutor(max_workers=1) as executor:
-                # Submit the function to the executor with a timeout
-                future = executor.submit(self.function_with_fallbacks, **kwargs)
-                response = future.result(timeout=timeout)  # type: ignore
-
+            response = self.function_with_fallbacks(**kwargs)
             return response
         except Exception as e:
             raise e
diff --git a/litellm/tests/test_router_timeout.py b/litellm/tests/test_router_timeout.py
new file mode 100644
index 0000000000..1f93a60a68
--- /dev/null
+++ b/litellm/tests/test_router_timeout.py
@@ -0,0 +1,87 @@
+#### What this tests ####
+# This tests if the router timeout error handling during fallbacks
+
+import sys, os, time
+import traceback, asyncio
+import pytest
+
+sys.path.insert(
+    0, os.path.abspath("../..")
+)  # Adds the parent directory to the system path
+
+
+import os
+
+import litellm
+from litellm import Router
+from dotenv import load_dotenv
+
+load_dotenv()
+
+
+def test_router_timeouts():
+    # Model list for OpenAI and Anthropic models
+    model_list = [
+        {
+            "model_name": "openai-gpt-4",
+            "litellm_params": {
+                "model": "azure/chatgpt-v-2",
+                "api_key": "os.environ/AZURE_API_KEY",
+                "api_base": "os.environ/AZURE_API_BASE",
+                "api_version": "os.environ/AZURE_API_VERSION",
+            },
+            "tpm": 80000,
+        },
+        {
+            "model_name": "anthropic-claude-instant-1.2",
+            "litellm_params": {
+                "model": "claude-instant-1",
+                "api_key": "os.environ/ANTHROPIC_API_KEY",
+            },
+            "tpm": 20000,
+        },
+    ]
+
+    fallbacks_list = [
+        {"openai-gpt-4": ["anthropic-claude-instant-1.2"]},
+    ]
+
+    # Configure router
+    router = Router(
+        model_list=model_list,
+        fallbacks=fallbacks_list,
+        routing_strategy="usage-based-routing",
+        debug_level="INFO",
+        set_verbose=True,
+        redis_host=os.getenv("REDIS_HOST"),
+        redis_password=os.getenv("REDIS_PASSWORD"),
+        redis_port=int(os.getenv("REDIS_PORT")),
+        timeout=10,
+    )
+
+    print("***** TPM SETTINGS *****")
+    for model_object in model_list:
+        print(f"{model_object['model_name']}: {model_object['tpm']} TPM")
+
+    # Sample list of questions
+    questions_list = [
+        {"content": "Tell me a very long joke.", "modality": "voice"},
+    ]
+
+    total_tokens_used = 0
+
+    # Process each question
+    for question in questions_list:
+        messages = [{"content": question["content"], "role": "user"}]
+
+        prompt_tokens = litellm.token_counter(text=question["content"], model="gpt-4")
+        print("prompt_tokens = ", prompt_tokens)
+
+        response = router.completion(
+            model="openai-gpt-4", messages=messages, timeout=5, num_retries=0
+        )
+
+        total_tokens_used += response.usage.total_tokens
+
+        print("Response:", response)
+        print("********** TOKENS USED SO FAR = ", total_tokens_used)