diff --git a/modules/README.md b/modules/README.md
index 202c2e0..f1a0632 100644
--- a/modules/README.md
+++ b/modules/README.md
@@ -764,29 +764,6 @@ enabled = True
 repeater_channels = [2, 3]
 ```
 
-### Ollama (LLM/AI) Settings
-For Ollama to work, the command line `ollama run 'model'` needs to work properly. Ensure you have enough RAM and your GPU is working as expected. The default model for this project is set to `gemma3:270m`. Ollama can be remote [Ollama Server](https://github.com/ollama/ollama/blob/main/docs/faq.md#how-do-i-configure-ollama-server) works on a pi58GB with 40 second or less response time.
-
-```ini
-# Enable ollama LLM see more at https://ollama.com
-ollama = True # Ollama model to use (defaults to gemma2:2b)
-ollamaModel = gemma3:latest # Ollama model to use (defaults to gemma3:270m)
-ollamaHostName = http://localhost:11434 # server instance to use (defaults to local machine install)
-```
-
-Also see `llm.py` for changing the defaults of:
-
-```ini
-# LLM System Variables
-rawQuery = True # if True, the input is sent raw to the LLM if False, it is processed by the meshBotAI template
-
-# Used in the meshBotAI template (legacy)
-llmEnableHistory = True # enable history for the LLM model to use in responses adds to compute time
-llmContext_fromGoogle = True # enable context from google search results helps with responses accuracy
-googleSearchResults = 3 # number of google search results to include in the context more results = more compute time
-```
-Note for LLM in docker with [NVIDIA](https://docs.nvidia.com/datacenter/cloud-native/container-toolkit/latest/docker-specialized.html). Needed for the container with ollama running. 
-
 ### Wikipedia Search Settings
 The Wikipedia search module can use either the online Wikipedia API or a local Kiwix server for offline wiki access. Kiwix is especially useful for mesh networks operating in remote or offline environments.
 
diff --git a/modules/llm.md b/modules/llm.md
index 341f442..0799f07 100644
--- a/modules/llm.md
+++ b/modules/llm.md
@@ -2,6 +2,9 @@
 This is not a full turnkey setup yet?
 
 
+For Ollama to work, the command line `ollama run 'model'` needs to work properly. Ensure you have enough RAM and your GPU is working as expected. The default model for this project is set to `gemma3:270m`. Ollama can be remote [Ollama Server](https://github.com/ollama/ollama/blob/main/docs/faq.md#how-do-i-configure-ollama-server) works on a pi58GB with 40 second or less response time.
+
+
 # Ollama local
 ```bash
 # bash
@@ -20,6 +23,11 @@ Environment="OLLAMA_HOST=0.0.0.0:11434"
 http://IP::11434
 `Ollama is running`
 
+## Docs
+Note for LLM in docker with [NVIDIA](https://docs.nvidia.com/datacenter/cloud-native/container-toolkit/latest/docker-specialized.html). Needed for the container with ollama running? 
+
+---
+
 # OpenWebUI (docker)
 ```bash
 ## ollama in docker
@@ -32,21 +40,25 @@ wait for engine to build, update the config.ini for the bot
 
 ```ini
 # Use OpenWebUI instead of direct Ollama API (enables advanced RAG features)
-useOpenWebUI = True
+useOpenWebUI = False
 # OpenWebUI server URL (e.g., http://localhost:3000)
-openWebUIURL = http://IP:3000
+openWebUIURL = http://localhost:3000
+# OpenWebUI API key/token (required when useOpenWebUI is True)
+openWebUIAPIKey = sk-xxxx (see below for help)
 ```
 
-## validation
+## Validation
 http://IP:3000
 make a new admin user.
 validate you have models imported or that the system is working for query.
 make a new user for the bot
 
+## API Key
+- upper right settings for the user
+- settings -> account
+- get/create the API key for the user
 
-upper right settings for the user
-settings -> account
-get/create the API key for the user
+## Docs
+set api endpoint [OpenWebUI API](https://docs.openwebui.com/getting-started/api-endpoints)
 
-
-set api endpoint [OpenWebUI API](https://docs.openwebui.com/getting-started/api-endpoints)
\ No newline at end of file
+---
\ No newline at end of file