From 4c572ffe959957b515528a9036b374f56cef027f Mon Sep 17 00:00:00 2001
From: Davis Chase <130488702+dev2049@users.noreply.github.com>
Date: Thu, 1 Jun 2023 14:21:15 -0700
Subject: [PATCH] nit (#5578)

---
 .../agent_with_wandb_tracing.ipynb            | 58 +------------------
 1 file changed, 2 insertions(+), 56 deletions(-)

diff --git a/docs/integrations/agent_with_wandb_tracing.ipynb b/docs/integrations/agent_with_wandb_tracing.ipynb
index 8eed022c..c25c7537 100644
--- a/docs/integrations/agent_with_wandb_tracing.ipynb
+++ b/docs/integrations/agent_with_wandb_tracing.ipynb
@@ -63,7 +63,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 3,
+   "execution_count": null,
    "id": "bfa16b79-aa4b-4d41-a067-70d1f593f667",
    "metadata": {
     "ExecuteTime": {
@@ -72,61 +72,7 @@
     },
     "tags": []
    },
-   "outputs": [
-    {
-     "name": "stderr",
-     "output_type": "stream",
-     "text": [
-      "\u001b[34m\u001b[1mwandb\u001b[0m: Logging into wandb.ai. (Learn how to deploy a W&B server locally: https://wandb.me/wandb-server)\n",
-      "\u001b[34m\u001b[1mwandb\u001b[0m: You can find your API key in your browser here: https://wandb.ai/authorize\n",
-      "\u001b[34m\u001b[1mwandb\u001b[0m: Paste an API key from your profile and hit enter, or press ctrl+c to quit:"
-     ]
-    },
-    {
-     "name": "stdout",
-     "output_type": "stream",
-     "text": [
-      " ········\n"
-     ]
-    },
-    {
-     "name": "stderr",
-     "output_type": "stream",
-     "text": [
-      "\u001b[34m\u001b[1mwandb\u001b[0m: Appending key for api.wandb.ai to your netrc file: /Users/bagatur/.netrc\n",
-      "\u001b[34m\u001b[1mwandb\u001b[0m: Streaming LangChain activity to W&B at https://wandb.ai/dev-dev2049/langchain-tracing/runs/bhol4jis\n",
-      "\u001b[34m\u001b[1mwandb\u001b[0m: `WandbTracer` is currently in beta.\n",
-      "\u001b[34m\u001b[1mwandb\u001b[0m: Please report any issues to https://github.com/wandb/wandb/issues with the tag `langchain`.\n"
-     ]
-    },
-    {
-     "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": 3,
-     "metadata": {},
-     "output_type": "execute_result"
-    }
-   ],
+   "outputs": [],
    "source": [
     "agent = initialize_agent(\n",
     "    tools, llm, agent=AgentType.ZERO_SHOT_REACT_DESCRIPTION, verbose=True\n",