diff --git a/docs/source/chat_completion_guide.md b/docs/source/chat_completion_guide.md
index 540222771..d6787fd1d 100644
--- a/docs/source/chat_completion_guide.md
+++ b/docs/source/chat_completion_guide.md
@@ -8,7 +8,8 @@ This document provides instructions on how to use Llama Stack's `chat_completion
 2. [Building Effective Prompts](#building-effective-prompts)
 3. [Conversation Loop](#conversation-loop)
 4. [Conversation History](#conversation-history)
-5. 
+5. [Streaming Responses](#streaming-responses)
+
 
 ## Quickstart
 
@@ -141,7 +142,7 @@ async def chat_loop():
 asyncio.run(chat_loop())
 ```
 
-## Streaming Responses with Llama Stack
+## Streaming Responses
 
 Llama Stack offers a `stream` parameter in the `chat_completion` function, which allows partial responses to be returned progressively as they are generated. This can enhance user experience by providing immediate feedback without waiting for the entire response to be processed.
 
@@ -186,8 +187,6 @@ if __name__ == "__main__":
 ```
 
 
-
-
 ---
 
 With these fundamentals, you should be well on your way to leveraging Llama Stack’s text generation capabilities! For more advanced features, refer to the [Llama Stack Documentation](https://llama-stack-docs.com).