Adding Ollama details to Local LLM doc

docs/local_ollama.md

@@ -4,16 +4,32 @@ You may want to save costs by developing against a local LLM server, such as
 [llamafile](https://github.com/Mozilla-Ocho/llamafile/). Note that a local LLM
 will generally be slower and not as sophisticated.
 
-Once you've got your local LLM running and serving an OpenAI-compatible endpoint, define `LOCAL_OPENAI_ENDPOINT` in your `.env` file.
+Once you've got your local LLM running and serving an OpenAI-compatible endpoint, define `LOCAL_MODELS_ENDPOINT` in your `.env` file.
 
-For example, to point at a local llamafile server running on its default port:
+## Llamafile
+
+To point at a local llamafile server running on its default port:
+
+```shell
+LOCAL_MODELS_ENDPOINT="http://localhost:8080/v1"
+```
+
+If you're running inside a dev container, use this local URL instead:
+
+```shell
+LOCAL_MODELS_ENDPOINT="http://host.docker.internal:8080/v1"
+```
+
+## Ollama
+
+To point at a local ollama server running on its default port:
 
 ```shell
-LOCAL_OPENAI_ENDPOINT="http://localhost:8080/v1"
+LOCAL_MODELS_ENDPOINT="http://localhost:11434/v1"
 ```
 
 If you're running inside a dev container, use this local URL instead:
 
 ```shell
-LOCAL_OPENAI_ENDPOINT="http://host.docker.internal:8080/v1"
+LOCAL_MODELS_ENDPOINT="http://host.docker.internal:11434/v1"
 ```