copy

docs/faq.md

@@ -149,9 +149,10 @@ you can use `--openai-api-base` to connect to a different API endpoint.
 
 ### Local LLMs
 
-[LocalAI](https://github.com/go-skynet/LocalAI)
-and
+[LocalAI](https://github.com/go-skynet/LocalAI),
 [SimpleAI](https://github.com/lhenault/simpleAI)
+and
+[LiteLLM](https://docs.litellm.ai/docs/proxy_server#tutorial-use-with-aiderautogencontinue-devlangroidetc)
 look like relevant tools to serve local models via a compatible API.
 
 
@@ -242,4 +243,4 @@ pip install -r requirements.txt
 
 # Run the local version of Aider:
 python -m aider.main
-```
+```

docs/repomap.md

@@ -25,7 +25,7 @@ This article is going to focus on the problem of "code context" (2):
   - We need to help GPT understand the overall codebase.
   - This will help it understand the code it needs to change, which may depend on other parts of the codebase.
   - It will also help GPT write new code and modify the existing code in a way
-that respects and utilizes existing libraries, modules and abstractions
+that respect and utilize existing libraries, modules and abstractions
 found elsewhere in the codebase.
   - We must convey all of this "code context" to GPT in an
 efficient manner that fits within the limited context window.
@@ -190,7 +190,7 @@ Switching from ctags to tree-sitter provides a bunch of benefits:
 
 - The map is richer, showing full function call signatures and other details straight from the source files.
 - Thanks to `py-tree-sitter-languages`, we get full support for many programming languages via a python package that's automatically installed as part of the normal `pip install aider-chat`.
-- We remove the requirement for users to manually install `universal-ctags` via some extenal tool or package manager (brew, apt, choco, etc).
+- We remove the requirement for users to manually install `universal-ctags` via some external tool or package manager (brew, apt, choco, etc).
 - Tree-sitter integration is a key enabler for future work and capabilities for aider.
 
 ## Future work