Add llama3.1 tool calling (#1148)

examples/tutorials/tool-calling-agent-local.ipynb

@@ -15,6 +15,7 @@
     "\n",
     "```\n",
     "ollama pull llama3-groq-tool-use\n",
+    "ollama pull llama3.1\n",
     "```\n",
     "\n",
     "And also, we'll use the Ollama partner package.\n",
@@ -39,35 +40,39 @@
   },
   {
    "cell_type": "code",
-   "execution_count": null,
+   "execution_count": 6,
    "id": "120c1da8-e45e-4ffa-9ac1-a536026c7e1c",
    "metadata": {},
-   "outputs": [],
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "\n",
+      "\u001b[1m[\u001b[0m\u001b[34;49mnotice\u001b[0m\u001b[1;39;49m]\u001b[0m\u001b[39;49m A new release of pip is available: \u001b[0m\u001b[31;49m24.0\u001b[0m\u001b[39;49m -> \u001b[0m\u001b[32;49m24.1.2\u001b[0m\n",
+      "\u001b[1m[\u001b[0m\u001b[34;49mnotice\u001b[0m\u001b[1;39;49m]\u001b[0m\u001b[39;49m To update, run: \u001b[0m\u001b[32;49mpip install --upgrade pip\u001b[0m\n",
+      "Note: you may need to restart the kernel to use updated packages.\n"
+     ]
+    }
+   ],
    "source": [
     "%pip install -qU langchain-ollama"
    ]
   },
   {
    "cell_type": "code",
-   "execution_count": 1,
+   "execution_count": 8,
    "id": "32c0504b-007a-4af6-9976-c7294ed26b73",
    "metadata": {},
-   "outputs": [
-    {
-     "name": "stderr",
-     "output_type": "stream",
-     "text": [
-      "USER_AGENT environment variable not set, consider setting it to identify your requests.\n"
-     ]
-    }
-   ],
+   "outputs": [],
    "source": [
     "# /// LLM ///\n",
     "\n",
     "from langchain_ollama import ChatOllama\n",
     "\n",
     "llm = ChatOllama(\n",
-    "    model=\"llama3-groq-tool-use\",\n",
+    "    # model=\"llama3-groq-tool-use\",\n",
+    "    model=\"llama3.1\",\n",
     "    temperature=0,\n",
     ")\n",
     "\n",
@@ -129,14 +134,13 @@
     "        for d in web_results\n",
     "    ]\n",
     "\n",
-    "\n",
     "# Tool list\n",
     "tools = [retrieve_documents, web_search]"
    ]
   },
   {
    "cell_type": "code",
-   "execution_count": 2,
+   "execution_count": 9,
    "id": "30052f47-2b5d-46f5-9873-eb716145cda1",
    "metadata": {},
    "outputs": [],
@@ -148,11 +152,9 @@
     "from langgraph.graph.message import AnyMessage, add_messages\n",
     "from typing_extensions import TypedDict\n",
     "\n",
-    "\n",
     "class State(TypedDict):\n",
     "    messages: Annotated[list[AnyMessage], add_messages]\n",
     "\n",
-    "\n",
     "class Assistant:\n",
     "    def __init__(self, runnable: Runnable):\n",
     "        \"\"\"\n",
@@ -209,7 +211,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 3,
+   "execution_count": 10,
    "id": "40504a0b-8a99-4420-a6bf-561c62e893d1",
    "metadata": {},
    "outputs": [
@@ -282,7 +284,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 4,
+   "execution_count": 11,
    "id": "43c633d5-e7a7-4b7c-8dc7-760a3b032e95",
    "metadata": {},
    "outputs": [],
@@ -301,9 +303,19 @@
     "response = predict_react_agent_answer(example)"
    ]
   },
+  {
+   "cell_type": "markdown",
+   "id": "bf82fa52-9e6c-4f37-94ae-91450dac602e",
+   "metadata": {},
+   "source": [
+    "See trace with llama3.1 here:\n",
+    "\n",
+    "https://smith.langchain.com/public/44d0c7dd-a756-47ad-8025-ee7ae6469ecb/r"
+   ]
+  },
   {
    "cell_type": "code",
-   "execution_count": null,
+   "execution_count": 13,
    "id": "cd74a0b3-be40-46cd-97bf-ef9676878289",
    "metadata": {},
    "outputs": [],
@@ -311,6 +323,24 @@
     "example = {\"input\": \"Get me information about the current weather in SF.\"}\n",
     "response = predict_react_agent_answer(example)"
    ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "8cac91bf-c975-44a2-a9fd-99706fee5735",
+   "metadata": {},
+   "source": [
+    "See trace with llama3.1 here:\n",
+    "\n",
+    "https://smith.langchain.com/public/7a4938e3-f94f-4e04-a162-bf592fba4643/r"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "74b813cb-18ed-42d8-b313-6ee56ded4bcc",
+   "metadata": {},
+   "outputs": [],
+   "source": []
   }
  ],
  "metadata": {