diff --git a/docs/my-website/docs/providers/azure_ai.md b/docs/my-website/docs/providers/azure_ai.md
index e6ac731d7c..2ddb5137bd 100644
--- a/docs/my-website/docs/providers/azure_ai.md
+++ b/docs/my-website/docs/providers/azure_ai.md
@@ -1,15 +1,12 @@
 # Azure AI Studio
 
 ## Sample Usage
-Call Azure Command R Plus in the OpenAI Format
-- model=`azure/command-r-plus`. The `azure/` prefix sends this to Azure. The `command-r-plus` indicates the base model being called
-- `model_id` = This is your deployment name on Azure AI studio
+The `azure/` prefix sends this to Azure
 
 ```python
 import litellm
 response = litellm.completion(
-    model="azure/command-r-plus",
-    model_id="Cohere-command-r-plus-gylpd",
+    model="azure/<your-deployment-name>",
     api_base="https://Cohere-command-r-plus-gylpd-serverless.eastus2.inference.ai.azure.com/v1/"
     api_key="eskk******"
     messages=[{"role": "user", "content": "What is the meaning of life?"}],
diff --git a/litellm/tests/test_completion.py b/litellm/tests/test_completion.py
index 26dd6cc6e9..aa54f81549 100644
--- a/litellm/tests/test_completion.py
+++ b/litellm/tests/test_completion.py
@@ -59,7 +59,6 @@ def test_completion_azure_command_r():
 
         response = completion(
             model="azure/command-r-plus",
-            model_id="Cohere-command-r-plus-gylpd",
             api_base=os.getenv("AZURE_COHERE_API_BASE"),
             api_key=os.getenv("AZURE_COHERE_API_KEY"),
             messages=[{"role": "user", "content": "What is the meaning of life?"}],