diff --git a/docs/my-website/docs/simple_proxy.md b/docs/my-website/docs/simple_proxy.md
index 6df34bad263..e6db9f7044c 100644
--- a/docs/my-website/docs/simple_proxy.md
+++ b/docs/my-website/docs/simple_proxy.md
@@ -6,9 +6,9 @@ import TabItem from '@theme/TabItem';
 
 LiteLLM Server manages:
 
-* Calling 100+ LLMs [Huggingface/Bedrock/TogetherAI/etc.](#other-supported-models) in the OpenAI `ChatCompletions` & `Completions` format
-* Load balancing - between [Multiple Models](#multiple-models---quick-start) + [Deployments of the same model](#multiple-instances-of-1-model) **LiteLLM proxy can handle 1k+ requests/second during load tests**
-* Authentication & Spend Tracking [Virtual Keys](#managing-auth---virtual-keys)
+* **Unified Interface**: Calling 100+ LLMs [Huggingface/Bedrock/TogetherAI/etc.](#other-supported-models) in the OpenAI `ChatCompletions` & `Completions` format
+* **Load Balancing**: between [Multiple Models](#multiple-models---quick-start) + [Deployments of the same model](#multiple-instances-of-1-model) - LiteLLM proxy can handle 1.5k+ requests/second during load tests.
+* **Cost tracking**: Authentication & Spend Tracking [Virtual Keys](#managing-auth---virtual-keys)
 
 [**See LiteLLM Proxy code**](https://github.com/BerriAI/litellm/tree/main/litellm/proxy)
 
diff --git a/litellm/proxy/proxy_server.py b/litellm/proxy/proxy_server.py
index 08d6b723649..09ab175a182 100644
--- a/litellm/proxy/proxy_server.py
+++ b/litellm/proxy/proxy_server.py
@@ -955,10 +955,10 @@ async def info_key_fn(key: str = fastapi.Query(..., description="Key in the requ
 #### [BETA] - This is a beta endpoint, format might change based on user feedback. - https://github.com/BerriAI/litellm/issues/964
 @router.post("/model/new", description="Allows adding new models to the model list in the config.yaml", tags=["model management"], dependencies=[Depends(user_api_key_auth)])
 async def add_new_model(model_params: ModelParams):
-    global llm_router, llm_model_list, general_settings
+    global llm_router, llm_model_list, general_settings, user_config_file_path
     try:
         # Load existing config
-        with open(user_config_file_path, "r") as config_file:
+        with open(f"{user_config_file_path}", "r") as config_file:
             config = yaml.safe_load(config_file)
 
         # Add the new model to the config
@@ -968,7 +968,7 @@ async def add_new_model(model_params: ModelParams):
         })
 
         # Save the updated config
-        with open(user_config_file_path, "w") as config_file:
+        with open(f"{user_config_file_path}", "w") as config_file:
             yaml.dump(config, config_file, default_flow_style=False)
 
         # update Router 
@@ -983,9 +983,9 @@ async def add_new_model(model_params: ModelParams):
 #### [BETA] - This is a beta endpoint, format might change based on user feedback. - https://github.com/BerriAI/litellm/issues/933
 @router.get("/model/info", description="Provides more info about each model in /models, including config.yaml descriptions (except api key and api base)", tags=["model management"], dependencies=[Depends(user_api_key_auth)])
 async def model_info(request: Request):
-    global llm_model_list, general_settings   
+    global llm_model_list, general_settings, user_config_file_path
     # Load existing config
-    with open(user_config_file_path, "r") as config_file:
+    with open(f"{user_config_file_path}", "r") as config_file:
         config = yaml.safe_load(config_file)
     all_models = config['model_list']