updaates to readme, docs, added some logging in case goal setting goes bad

setup.md

@@ -1,4 +1,5 @@
-## Configuration
+# Setup Guide
+## Initial Configuration
 
 This application uses `.env` files for configuration. Copy the [.env.example](.env.example) file to `.env` and update the values:
 
@@ -6,6 +7,12 @@ This application uses `.env` files for configuration. Copy the [.env.example](.e
 cp .env.example .env
 ```
 
+Then add API keys, configuration, as desired.
+If you want to show confirmations/enable the debugging UI, set
+```bash
+SHOW_CONFIRM=True
+```
+
 ### Agent Goal Configuration
 
 The agent can be configured to pursue different goals using the `AGENT_GOAL` environment variable in your `.env` file.
@@ -173,4 +180,6 @@ If you're running your train API above on a different host/port then change the
 - `tool_registry.py` contains the mapping of tool names to tool definitions (so the AI understands how to use them)
 - `goal_registry.py` contains descriptions of goals and the tools used to achieve them
 - The tools themselves are defined in their own files in `/tools`
-- Note the mapping in `tools/__init__.py` to each tool
+- Note the mapping in `tools/__init__.py` to each tool
+
+For more details, check out [adding goals and tools guide](./adding-goals-and-tools.md).