Fix prerequisites section in step 2 of the Getting Started guide.

docs/getting_started/2_core_colang_concepts/README.md

@@ -2,6 +2,22 @@
 
 This guide builds on the previous [Hello World guide](../1_hello_world/README.md) and introduces the core Colang concepts you should understand to get started with NeMo Guardrails.
 
+## Prerequisites
+
+Set up an OpenAI API key, if not already set.
+
+```bash
+export OPENAI_API_KEY=$OPENAI_API_KEY    # Replace with your own key
+```
+
+If you're running this inside a notebook, you also need to patch the AsyncIO loop.
+
+```python
+import nest_asyncio
+
+nest_asyncio.apply()
+```
+
 ## What is Colang?
 
 Colang is a modeling language for conversational applications. Using Colang you can design how the conversation between a user and a **bot** should happen.

docs/getting_started/2_core_colang_concepts/core_colang_concepts.ipynb

@@ -17,9 +17,7 @@
    "outputs": [],
    "source": [
     "# Init: copy the previous config.\n",
-    "!cp -r ../1_hello_world/config .\n",
-    "import nest_asyncio\n",
-    "nest_asyncio.apply()"
+    "!cp -r ../1_hello_world/config ."
    ],
    "metadata": {
     "collapsed": false,
@@ -29,6 +27,50 @@
     }
    }
   },
+  {
+   "cell_type": "markdown",
+   "source": [
+    "## Prerequisites\n",
+    "\n",
+    "Set up an OpenAI API key, if not already set."
+   ],
+   "metadata": {
+    "collapsed": false
+   }
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "outputs": [],
+   "source": [
+    "!export OPENAI_API_KEY=$OPENAI_API_KEY    # Replace with your own key"
+   ],
+   "metadata": {
+    "collapsed": false
+   }
+  },
+  {
+   "cell_type": "markdown",
+   "source": [
+    "If you're running this inside a notebook, you also need to patch the AsyncIO loop."
+   ],
+   "metadata": {
+    "collapsed": false
+   }
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "outputs": [],
+   "source": [
+    "import nest_asyncio\n",
+    "\n",
+    "nest_asyncio.apply()"
+   ],
+   "metadata": {
+    "collapsed": false
+   }
+  },
   {
    "cell_type": "markdown",
    "source": [