diff --git a/docs/my-website/docs/proxy/load_balancing.md b/docs/my-website/docs/proxy/load_balancing.md
index e2e3a7ee6..ee861f94d 100644
--- a/docs/my-website/docs/proxy/load_balancing.md
+++ b/docs/my-website/docs/proxy/load_balancing.md
@@ -72,6 +72,31 @@ curl --location 'http://0.0.0.0:8000/chat/completions' \
 '
 ```
 
+## Router settings on config.yaml - routing_strategy, model_group_alias
+
+litellm.Router() settings can be set under `router_settings`. You can set `model_group_alias`, `routing_strategy`, `num_retries`,`timeout` . See all Router supported params [here](https://github.com/BerriAI/litellm/blob/1b942568897a48f014fa44618ec3ce54d7570a46/litellm/router.py#L64)
+
+Example config with `router_settings`
+```yaml
+model_list:
+  - model_name: gpt-3.5-turbo
+    litellm_params:
+      model: azure/<your-deployment-name>
+      api_base: <your-azure-endpoint>
+      api_key: <your-azure-api-key>
+      rpm: 6      # Rate limit for this deployment: in requests per minute (rpm)
+  - model_name: gpt-3.5-turbo
+    litellm_params:
+      model: azure/gpt-turbo-small-ca
+      api_base: https://my-endpoint-canada-berri992.openai.azure.com/
+      api_key: <your-azure-api-key>
+      rpm: 6
+router_settings:
+  model_group_alias: {"gpt-4": "gpt-3.5-turbo"} # all requests with `gpt-4` will be routed to models with `gpt-3.5-turbo`
+  routing_strategy: least-busy                  # Literal["simple-shuffle", "least-busy", "usage-based-routing", "latency-based-routing"]
+  num_retries: 2
+  timeout: 30                                  # 30 seconds
+```
 
 ## Fallbacks + Cooldowns + Retries + Timeouts