(docs) passing azure_ad_token to config

docs/my-website/docs/simple_proxy.md

@@ -523,8 +523,7 @@ model_list:
   - model_name: claude-2
     litellm_params:
       model: claude-2
-      api_key: sk-claude
+      api_key: sk-claude    
-    
 ```
 
 #### Default Model - Config:
@@ -540,6 +539,22 @@ $ litellm --config /path/to/config.yaml
 
 If you're repo let's you set model name, you can call the specific model by just passing in that model's name - 
 
+#### Step 4: Use proxy
+Curl Command
+```shell
+curl --location 'http://0.0.0.0:8000/chat/completions' \
+--header 'Content-Type: application/json' \
+--data ' {
+      "model": "gpt-4-team1",
+      "messages": [
+        {
+          "role": "user",
+          "content": "what llm are you"
+        }
+      ],
+    }
+'
+```
 **Setting model name**
 ```python
 import openai 

litellm/proxy/config.yaml

@@ -4,17 +4,22 @@ model_list:
       model: huggingface/HuggingFaceH4/zephyr-7b-alpha
       max_tokens: 20
       temperature: 0
-  - model_name: gpt-4
+  - model_name: gpt-4-team1
-    litellm_params: # params for litellm.completion() - https://docs.litellm.ai/docs/completion/input#input---request-body
+    litellm_params:
-      model: gpt-4
+      model: azure/chatgpt-v-2
+      api_base: https://openai-gpt-4-test-v-1.openai.azure.com/
+      api_version: "2023-05-15"
+      azure_ad_token: eyJ0eXAiOiJ
+  - model_name: gpt-4-team2
+    litellm_params:
+      model: azure/gpt-4
+      api_key: sk-123
+      api_base: https://openai-gpt-4-test-v-2.openai.azure.com/
+  - model_name: gpt-4-team3
+    litellm_params:
+      model: azure/gpt-4
       api_key: sk-123
-  - model_name: mistral-7b
-    litellm_params: # params for litellm.completion() - https://docs.litellm.ai/docs/completion/input#input---request-body
-      model: deepinfra/mistralai/Mistral-7B-Instruct-v0.1
-      api_key: sk-1234
 
 litellm_settings:
   drop_params: True
 
-general_settings: 
-  master_key: sk-12345