tiny fix

Author: davidhou17

use-cases/ai-agent.ipynb

@@ -319,6 +319,7 @@
     "## Configure the agent\n",
     "This step configures agent planning, which includes how the agent handles tool execution and responses. After configuring the LLM, you define the following functions:\n",
     "- `tool_selector`: Uses the LLM to determine the best tool based on the user's input.\n",
+    "- `get_llm_response`: Helper function for LLM response generation.\n",
     "- `generate_answer`: Orchestrates the agent workflow for a task."
    ]
   },
@@ -498,7 +499,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 16,
+   "execution_count": null,
    "metadata": {},
    "outputs": [
     {
@@ -516,19 +517,19 @@
    ],
    "source": [
     "message_1 = generate_response(\n",
-    "    session_id=\"1234\",\n",
+    "    session_id=\"123\",\n",
     "    user_input=\"What was MongoDB's latest acquisition?\",\n",
     ")\n",
     "print(message_1)\n",
     "\n",
     "message_2 = generate_response(\n",
-    "    session_id=\"1234\",\n",
+    "    session_id=\"123\",\n",
     "    user_input=\"What do they do?\",\n",
     ")\n",
     "print(message_2)\n",
     "\n",
     "message_3 = generate_response(\n",
-    "    session_id=\"1234\",\n",
+    "    session_id=\"123\",\n",
     "    user_input=\"What's 15*25?\",\n",
     ")\n",
     "print(message_3)"