diff --git a/litellm/proxy/proxy_server.py b/litellm/proxy/proxy_server.py
index 6125a3169..6a55375ea 100644
--- a/litellm/proxy/proxy_server.py
+++ b/litellm/proxy/proxy_server.py
@@ -8307,7 +8307,12 @@ async def get_config():
 
             _data_to_return.append({"name": "slack", "variables": _slack_env_vars})
 
-        return {"status": "success", "data": _data_to_return}
+        _router_settings = llm_router.get_settings()
+        return {
+            "status": "success",
+            "data": _data_to_return,
+            "router_settings": _router_settings,
+        }
     except Exception as e:
         traceback.print_exc()
         if isinstance(e, HTTPException):
diff --git a/litellm/router.py b/litellm/router.py
index 8c2e21bff..f4d014b31 100644
--- a/litellm/router.py
+++ b/litellm/router.py
@@ -299,6 +299,7 @@ class Router:
         verbose_router_logger.info(
             f"Intialized router with Routing strategy: {self.routing_strategy}\n\nRouting fallbacks: {self.fallbacks}\n\nRouting context window fallbacks: {self.context_window_fallbacks}"
         )
+        self.routing_strategy_args = routing_strategy_args
 
     def print_deployment(self, deployment: dict):
         """
@@ -2334,6 +2335,25 @@ class Router:
             return self.model_list
         return None
 
+    def get_settings(self):
+        _all_vars = vars(self)
+        _settings_to_return = {}
+        vars_to_include = [
+            "routing_strategy_args",
+            "routing_strategy",
+            "allowed_fails",
+            "cooldown_time",
+            "num_retries",
+            "timeout",
+            "max_retries",
+            "retry_after",
+        ]
+
+        for var in vars_to_include:
+            if var in _all_vars:
+                _settings_to_return[var] = _all_vars[var]
+        return _settings_to_return
+
     def _get_client(self, deployment, kwargs, client_type=None):
         """
         Returns the appropriate client based on the given deployment, kwargs, and client_type.
diff --git a/litellm/tests/test_router_utils.py b/litellm/tests/test_router_utils.py
new file mode 100644
index 000000000..c032783bd
--- /dev/null
+++ b/litellm/tests/test_router_utils.py
@@ -0,0 +1,87 @@
+#### What this tests ####
+# This tests utils used by llm router -> like llmrouter.get_settings()
+
+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 litellm
+from litellm import Router
+from litellm.router import Deployment, LiteLLM_Params, ModelInfo
+from concurrent.futures import ThreadPoolExecutor
+from collections import defaultdict
+from dotenv import load_dotenv
+
+load_dotenv()
+
+
+def test_returned_settings():
+    # this tests if the router raises an exception when invalid params are set
+    # in this test both deployments have bad keys - Keep this test. It validates if the router raises the most recent exception
+    litellm.set_verbose = True
+    import openai
+
+    try:
+        print("testing if router raises an exception")
+        old_api_key = os.environ["AZURE_API_KEY"]
+        os.environ["AZURE_API_KEY"] = ""
+        model_list = [
+            {
+                "model_name": "gpt-3.5-turbo",  # openai model name
+                "litellm_params": {  # params for litellm completion/embedding call
+                    "model": "azure/chatgpt-v-2",
+                    "api_key": "bad-key",
+                    "api_version": os.getenv("AZURE_API_VERSION"),
+                    "api_base": os.getenv("AZURE_API_BASE"),
+                },
+                "tpm": 240000,
+                "rpm": 1800,
+            },
+            {
+                "model_name": "gpt-3.5-turbo",  # openai model name
+                "litellm_params": {  #
+                    "model": "gpt-3.5-turbo",
+                    "api_key": "bad-key",
+                },
+                "tpm": 240000,
+                "rpm": 1800,
+            },
+        ]
+        router = Router(
+            model_list=model_list,
+            redis_host=os.getenv("REDIS_HOST"),
+            redis_password=os.getenv("REDIS_PASSWORD"),
+            redis_port=int(os.getenv("REDIS_PORT")),
+            routing_strategy="latency-based-routing",
+            routing_strategy_args={"ttl": 10},
+            set_verbose=False,
+            num_retries=3,
+            retry_after=5,
+            allowed_fails=1,
+            cooldown_time=30,
+        )  # type: ignore
+
+        settings = router.get_settings()
+        print(settings)
+
+        """
+        routing_strategy: "simple-shuffle"
+        routing_strategy_args: {"ttl": 10} # Average the last 10 calls to compute avg latency per model
+        allowed_fails: 1
+        num_retries: 3
+        retry_after: 5 # seconds to wait before retrying a failed request
+        cooldown_time: 30 # seconds to cooldown a deployment after failure
+        """
+        assert settings["routing_strategy"] == "latency-based-routing"
+        assert settings["routing_strategy_args"]["ttl"] == 10
+        assert settings["allowed_fails"] == 1
+        assert settings["num_retries"] == 3
+        assert settings["retry_after"] == 5
+        assert settings["cooldown_time"] == 30
+
+    except:
+        print(traceback.format_exc())
+        pytest.fail("An error occurred - " + traceback.format_exc())