Some notebook and client fixes (add retries, clean up docs, etc) (#4820)

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docs/tracing/agent_with_tracing.ipynb

@@ -323,10 +323,122 @@
     "await task"
    ]
   },
+  {
+   "cell_type": "markdown",
+   "id": "c552a5dd-cbca-48b9-90e6-930076006f78",
+   "metadata": {},
+   "source": [
+    "## [Beta] Tracing V2\n",
+    "\n",
+    "We are rolling out a newer version of our tracing service with more features coming soon. Here are the instructions on how to use it to trace your runs.\n",
+    "\n",
+    "To use, you can use the `tracing_v2_enabled` context manager or set `LANGCHAIN_TRACING_V2 = 'true'`\n",
+    "\n",
+    "**Option 1 (Local)**: \n",
+    "* Run the local LangChainPlus Server\n",
+    "```\n",
+    "pip install --upgrade langchain\n",
+    "langchain plus start\n",
+    "```\n",
+    "\n",
+    "**Option 2 (Hosted)**:\n",
+    "* After making an account an grabbing a LangChainPlus API Key, set the `LANGCHAIN_ENDPOINT` and `LANGCHAIN_API_KEY` environment variables"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 12,
+   "id": "87027b0d-3a61-47cf-8a65-3002968be7f9",
+   "metadata": {
+    "tags": []
+   },
+   "outputs": [],
+   "source": [
+    "import os\n",
+    "os.environ[\"LANGCHAIN_TRACING_V2\"] = \"true\"\n",
+    "# os.environ[\"LANGCHAIN_ENDPOINT\"] = \"https://langchainpro-api-gateway-12bfv6cf.uc.gateway.dev\"  # Uncomment this line if you want to use the hosted version\n",
+    "# os.environ[\"LANGCHAIN_API_KEY\"] = \"<YOUR-LANGCHAINPLUS-API-KEY>\"  # Uncomment this line if you want to use the hosted version."
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 13,
+   "id": "5b4f49a2-7d09-4601-a8ba-976f0517c64c",
+   "metadata": {
+    "tags": []
+   },
+   "outputs": [],
+   "source": [
+    "import langchain\n",
+    "from langchain.agents import Tool, initialize_agent, load_tools\n",
+    "from langchain.agents import AgentType\n",
+    "from langchain.callbacks import tracing_enabled\n",
+    "from langchain.chat_models import ChatOpenAI\n",
+    "from langchain.llms import OpenAI"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 14,
+   "id": "029b4a57-dc49-49de-8f03-53c292144e09",
+   "metadata": {
+    "tags": []
+   },
+   "outputs": [],
+   "source": [
+    "# Agent run with tracing. Ensure that OPENAI_API_KEY is set appropriately to run this example.\n",
+    "\n",
+    "llm = OpenAI(temperature=0)\n",
+    "tools = load_tools([\"llm-math\"], llm=llm)\n",
+    "agent = initialize_agent(\n",
+    "    tools, llm, agent=AgentType.ZERO_SHOT_REACT_DESCRIPTION, verbose=True\n",
+    ")"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 15,
+   "id": "91a85fb2-6027-4bd0-b1fe-2a3b3b79e2dd",
+   "metadata": {
+    "tags": []
+   },
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "\n",
+      "\n",
+      "\u001b[1m> Entering new AgentExecutor chain...\u001b[0m\n",
+      "\u001b[32;1m\u001b[1;3m I need to use a calculator to solve this.\n",
+      "Action: Calculator\n",
+      "Action Input: 2^.123243\u001b[0m\n",
+      "Observation: \u001b[36;1m\u001b[1;3mAnswer: 1.0891804557407723\u001b[0m\n",
+      "Thought:\u001b[32;1m\u001b[1;3m I now know the final answer.\n",
+      "Final Answer: 1.0891804557407723\u001b[0m\n",
+      "\n",
+      "\u001b[1m> Finished chain.\u001b[0m\n"
+     ]
+    },
+    {
+     "data": {
+      "text/plain": [
+       "'1.0891804557407723'"
+      ]
+     },
+     "execution_count": 15,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "agent.run(\"What is 2 raised to .123243 power?\")"
+   ]
+  },
   {
    "cell_type": "code",
    "execution_count": null,
-   "id": "4e46c85b-2ac0-4661-abed-9c2bf3036820",
+   "id": "f2291e9f-02f3-4b55-bd3d-d719de815df1",
    "metadata": {},
    "outputs": [],
    "source": []