diff --git a/docs/my-website/docs/proxy/configs.md b/docs/my-website/docs/proxy/configs.md
index 3ab644855b..00457dbc4d 100644
--- a/docs/my-website/docs/proxy/configs.md
+++ b/docs/my-website/docs/proxy/configs.md
@@ -277,6 +277,54 @@ curl --location 'http://0.0.0.0:4000/v1/model/info' \
 --data ''
 ```
 
+## Wildcard Model Name (Add ALL MODELS from env)
+
+Dynamically call any model from any given provider without the need to predefine it in the config YAML file. As long as the relevant keys are in the environment (see [providers list](../providers/)), LiteLLM will make the call correctly.
+
+
+
+1. Setup config.yaml
+```
+model_list:
+  - model_name: "*"             # all requests where model not in your config go to this deployment
+    litellm_params:
+      model: "openai/*"           # passes our validation check that a real provider is given
+```
+
+2. Start LiteLLM proxy 
+
+```
+litellm --config /path/to/config.yaml
+```
+
+3. Try claude 3-5 sonnet from anthropic 
+
+```bash
+curl -X POST 'http://0.0.0.0:4000/chat/completions' \
+-H 'Content-Type: application/json' \
+-H 'Authorization: Bearer sk-1234' \
+-D '{
+  "model": "claude-3-5-sonnet-20240620",
+  "messages": [
+        {"role": "user", "content": "Hey, how'\''s it going?"},
+        {
+            "role": "assistant",
+            "content": "I'\''m doing well. Would like to hear the rest of the story?"
+        },
+        {"role": "user", "content": "Na"},
+        {
+            "role": "assistant",
+            "content": "No problem, is there anything else i can help you with today?"
+        },
+        {
+            "role": "user",
+            "content": "I think you'\''re getting cut off sometimes"
+        }
+    ]
+}
+'
+```
+
 ## Load Balancing 
 
 :::info
diff --git a/litellm/proxy/_new_secret_config.yaml b/litellm/proxy/_new_secret_config.yaml
index 938e74b5e7..2693ce3d30 100644
--- a/litellm/proxy/_new_secret_config.yaml
+++ b/litellm/proxy/_new_secret_config.yaml
@@ -1,54 +1,4 @@
-# model_list: 
-#   - model_name: my-fake-model
-#     litellm_params:
-#       model: bedrock/anthropic.claude-3-sonnet-20240229-v1:0
-#       api_key: my-fake-key
-#       aws_bedrock_runtime_endpoint: http://127.0.0.1:8000
-#       mock_response: "Hello world 1"
-#     model_info: 
-#       max_input_tokens: 0 # trigger context window fallback
-#   - model_name: my-fake-model
-#     litellm_params:
-#       model: bedrock/anthropic.claude-3-sonnet-20240229-v1:0
-#       api_key: my-fake-key
-#       aws_bedrock_runtime_endpoint: http://127.0.0.1:8000
-#       mock_response: "Hello world 2"
-#     model_info: 
-#       max_input_tokens: 0
-
-# router_settings:
-#   enable_pre_call_checks: True
-
-
-# litellm_settings:
-#   failure_callback: ["langfuse"]
-
 model_list:
-  - model_name: summarize
+  - model_name: "*"             # all requests where model not in your config go to this deployment
     litellm_params:
-        model: openai/gpt-4o
-        rpm: 10000      
-        tpm: 12000000
-        api_key: os.environ/OPENAI_API_KEY
-        mock_response: Hello world 1
-
-  - model_name: summarize-l
-    litellm_params:
-        model: claude-3-5-sonnet-20240620
-        rpm: 4000
-        tpm: 400000
-        api_key: os.environ/ANTHROPIC_API_KEY
-        mock_response: Hello world 2
-
-litellm_settings:
-  num_retries: 3
-  request_timeout: 120
-  allowed_fails: 3
-  # fallbacks: [{"summarize": ["summarize-l", "summarize-xl"]}, {"summarize-l": ["summarize-xl"]}]
-  # context_window_fallbacks: [{"summarize": ["summarize-l", "summarize-xl"]}, {"summarize-l": ["summarize-xl"]}]
-
-
-
-router_settings:
-  routing_strategy: simple-shuffle
-  enable_pre_call_checks: true.
+      model: "openai/*"