Adds integrating section

_posts/2024-04-04-chat-with-llms-using-chattr/chat-with-llms-using-chattr.Rmd

@@ -50,8 +50,27 @@ selected model, and makes it available to start chatting with it.
 To get started, you need to install LlamaGPTJ-chat, and download a compatible
 model. More detailed instructions are found [here](https://mlverse.github.io/chattr/articles/backend-llamagpt.html#installation).
 
-
 ## Integrating with `chattr`
 
+The idea for `chattr` is to make it easier for new LLM APIs to be added. `chattr`
+is basically split in two sections, the user-interface (Shiny app and 
+`chattr()` function), and the included back-ends (GPT, Copilot, LLamaGPT). 
+New back-ends do not need to be added directly in `chattr`.  If you are a package
+developer, and would like to take advantage of `chattr` UI, you will only 
+need to include a `ch_submit()` method in your package. 
+
+The two output requirements for `ch_submit()` are: 
+
+- As the final return value, send the full response from the model you are 
+integrating into `chattr`
+
+- If streaming (`stream` is TRUE), output the current output as it is occurring. 
+Generally through a `cat()` function call. 
+
+For more detail, please visit the function's reference page, link 
+[here](https://mlverse.github.io/chattr/reference/ch_submit.html).
+
+
+
 ## Next steps