Update chat prompt structure in LLaMA SQL cookbook (#12364)

Co-authored-by: Erick Friis <erick@langchain.dev>

cookbook/LLaMA2_sql_chat.ipynb

@@ -47,7 +47,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 8,
+   "execution_count": 1,
    "id": "6a75a5c6-34ee-4ab9-a664-d9b432d812ee",
    "metadata": {},
    "outputs": [
@@ -80,7 +80,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 12,
+   "execution_count": 2,
    "id": "ce96f7ea-b3d5-44e1-9fa5-a79e04a9e1fb",
    "metadata": {},
    "outputs": [],
@@ -103,7 +103,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 13,
+   "execution_count": 3,
    "id": "025bdd82-3bb1-4948-bc7c-c3ccd94fd05c",
    "metadata": {},
    "outputs": [],
@@ -133,7 +133,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 14,
+   "execution_count": 4,
    "id": "5a4933ea-d9c0-4b0a-8177-ba4490c6532b",
    "metadata": {},
    "outputs": [
@@ -143,7 +143,7 @@
        "' SELECT \"Team\" FROM nba_roster WHERE \"NAME\" = \\'Klay Thompson\\';'"
       ]
      },
-     "execution_count": 14,
+     "execution_count": 4,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -260,8 +260,8 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 19,
-   "id": "1985aa1c-eb8f-4fb1-a54f-c8aa10744687",
+   "execution_count": 7,
+   "id": "022868f2-128e-42f5-8d90-d3bb2f11d994",
    "metadata": {},
    "outputs": [
     {
@@ -270,7 +270,7 @@
        "' SELECT \"Team\" FROM nba_roster WHERE \"NAME\" = \\'Klay Thompson\\';'"
       ]
      },
-     "execution_count": 19,
+     "execution_count": 7,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -280,16 +280,14 @@
     "from langchain.memory import ConversationBufferMemory\n",
     "from langchain.prompts import ChatPromptTemplate, MessagesPlaceholder\n",
     "\n",
-    "template = \"\"\"Based on the table schema below, write a SQL query that would answer the user's question:\n",
+    "template = \"\"\"Given an input question, convert it to a SQL query. No pre-amble. Based on the table schema below, write a SQL query that would answer the user's question:\n",
     "{schema}\n",
-    "\n",
-    "Question: {question}\n",
-    "SQL Query:\"\"\"\n",
+    "\"\"\"\n",
     "prompt = ChatPromptTemplate.from_messages(\n",
     "    [\n",
-    "        (\"system\", \"Given an input question, convert it to a SQL query. No pre-amble.\"),\n",
+    "        (\"system\", template),\n",
     "        MessagesPlaceholder(variable_name=\"history\"),\n",
-    "        (\"human\", template),\n",
+    "        (\"human\", \"{question}\"),\n",
     "    ]\n",
     ")\n",
     "\n",
@@ -319,27 +317,6 @@
     "sql_response_memory.invoke({\"question\": \"What team is Klay Thompson on?\"})"
    ]
   },
-  {
-   "cell_type": "code",
-   "execution_count": 20,
-   "id": "0b45818a-1498-441d-b82d-23c29428c2bb",
-   "metadata": {},
-   "outputs": [
-    {
-     "data": {
-      "text/plain": [
-       "' SELECT \"SALARY\" FROM nba_roster WHERE \"NAME\" = \\'Klay Thompson\\';'"
-      ]
-     },
-     "execution_count": 20,
-     "metadata": {},
-     "output_type": "execute_result"
-    }
-   ],
-   "source": [
-    "sql_response_memory.invoke({\"question\": \"What is his salary?\"})"
-   ]
-  },
   {
    "cell_type": "code",
    "execution_count": 21,