Add image

examples/advanced_agents/multi-agent/agent_supervisor.ipynb

@@ -13,6 +13,8 @@
     "\n",
     "Below, we will create an agent group, with an agent supervisor to help delegate tasks.\n",
     "\n",
+    "![diagram](./img/supervisor-diagram.png)\n",
+    "\n",
     "To simplify each agent node, we will use the AgentExecutor class from LangChain."
    ]
   },
@@ -23,26 +25,8 @@
    "metadata": {},
    "outputs": [],
    "source": [
-    "# %%capture --no-stderr\n",
-    "# %pip install -U langchain langchain_openai langchain_experimental langsmith pandas"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 2,
-   "id": "f5b02e36-3b2e-485e-ac55-c3523c42ec58",
-   "metadata": {},
-   "outputs": [
-    {
-     "name": "stdout",
-     "output_type": "stream",
-     "text": [
-      "env: LANGCHAIN_API_KEY=ls__4f8a0a0114d145a08a0c3c7f5631289c\n"
-     ]
-    }
-   ],
-   "source": [
-    "%env LANGCHAIN_API_KEY=ls__4f8a0a0114d145a08a0c3c7f5631289c"
+    "%%capture --no-stderr\n",
+    "%pip install -U langchain langchain_openai langchain_experimental langsmith pandas"
    ]
   },
   {
@@ -281,29 +265,10 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 8,
+   "execution_count": null,
    "id": "56ba78e9-d9c1-457c-a073-d606d5d3e013",
    "metadata": {},
-   "outputs": [
-    {
-     "name": "stderr",
-     "output_type": "stream",
-     "text": [
-      "Rate limit exceeded for https://api.smith.langchain.com/runs/e906b9ec-0dc1-4f78-b5d1-d6da08bac093. HTTPError('429 Client Error: Too Many Requests for url: https://api.smith.langchain.com/runs/e906b9ec-0dc1-4f78-b5d1-d6da08bac093', '{\"detail\":\"Hourly usage limit exceeded\"}')\n",
-      "Rate limit exceeded for https://api.smith.langchain.com/runs. HTTPError('429 Client Error: Too Many Requests for url: https://api.smith.langchain.com/runs', '{\"detail\":\"Hourly usage limit exceeded\"}')\n",
-      "Python REPL can execute arbitrary code. Use with caution.\n"
-     ]
-    },
-    {
-     "name": "stdout",
-     "output_type": "stream",
-     "text": [
-      "================================\u001b[1m Human Message \u001b[0m=================================\n",
-      "\n",
-      "The code `print('Hello, World!')` has been executed, and it printed `Hello, World!` to the terminal.\n"
-     ]
-    }
-   ],
+   "outputs": [],
    "source": [
     "results = graph.invoke(\"Code hello world and print it to the terminal\")\n",
     "results[\"messages\"][-1].pretty_print()"