diff --git a/docs/getting_started.ipynb b/docs/getting_started.ipynb
index 5de401b5c..e361be277 100644
--- a/docs/getting_started.ipynb
+++ b/docs/getting_started.ipynb
@@ -123,11 +123,6 @@
       "outputs": [],
       "source": [
         "# NBVAL_SKIP\n",
-        "\n",
-        "# Need to install these together beforehand else it an lead to incompatible versions between these packages\n",
-        "!pip uninstall pandas numpy -y\n",
-        "!pip install pandas numpy\n",
-        "\n",
         "# This will build all the dependencies you will need\n",
         "!UV_SYSTEM_PYTHON=1 llama stack build --template together --image-type venv"
       ]
@@ -1641,7 +1636,7 @@
         "from termcolor import cprint\n",
         "\n",
         "agent = Agent(\n",
-        "    client,\n",
+        "    client, \n",
         "    model=model_id,\n",
         "    instructions=\"You are a helpful assistant. Use websearch tool to help answer questions.\",\n",
         "    tools=[\"builtin::websearch\"],\n",
@@ -1838,7 +1833,7 @@
         "    chunk_size_in_tokens=512,\n",
         ")\n",
         "rag_agent = Agent(\n",
-        "    client,\n",
+        "    client, \n",
         "    model=model_id,\n",
         "    instructions=\"You are a helpful assistant\",\n",
         "    tools = [\n",
@@ -1974,7 +1969,7 @@
         "from llama_stack_client import Document\n",
         "\n",
         "codex_agent = Agent(\n",
-        "    client,\n",
+        "    client, \n",
         "    model=\"meta-llama/Llama-3.1-8B-Instruct\",\n",
         "    instructions=\"You are a helpful assistant\",\n",
         "    tools=[\n",
@@ -2485,6 +2480,7 @@
         },
         {
           "data": {
+            "application/javascript": "\n        (async () => {\n            const url = new URL(await google.colab.kernel.proxyPort(10000, {'cache': true}));\n            const iframe = document.createElement('iframe');\n            iframe.src = url;\n            iframe.setAttribute('width', '100%');\n            iframe.setAttribute('height', '800');\n            iframe.setAttribute('frameborder', 0);\n            document.body.appendChild(iframe);\n        })();\n    ",
             "text/plain": [
               "<IPython.core.display.Javascript object>"
             ]
@@ -2896,7 +2892,7 @@
         "from termcolor import cprint\n",
         "\n",
         "agent = Agent(\n",
-        "    client,\n",
+        "    client, \n",
         "    model=model_id,\n",
         "    instructions=\"You are a helpful assistant\",\n",
         "    tools=[\"mcp::filesystem\"],\n",
@@ -2996,7 +2992,7 @@
         "from llama_stack_client import Agent, AgentEventLogger\n",
         "\n",
         "agent = Agent(\n",
-        "    client,\n",
+        "    client, \n",
         "    model=\"meta-llama/Llama-3.3-70B-Instruct\",\n",
         "    instructions=\"You are a helpful assistant. Use search tool to answer the questions. \",\n",
         "    tools=[\"builtin::websearch\"],\n",
@@ -4327,7 +4323,7 @@
       ],
       "source": [
         "agent = Agent(\n",
-        "    client,\n",
+        "    client, \n",
         "    model=vision_model_id,\n",
         "    instructions=\"You are a helpful assistant\",\n",
         ")\n",
@@ -4355,7 +4351,8 @@
         ")\n",
         "\n",
         "for log in EventLogger().log(response):\n",
-        "    log.print()\n"
+        "    log.print()\n",
+        "    "
       ]
     },
     {
@@ -4373,9 +4370,6 @@
       "gpuType": "T4",
       "provenance": []
     },
-    "fileHeader": "",
-    "fileUid": "e07d15da-69ef-456e-b4d6-f15fde511281",
-    "isAdHoc": false,
     "kernelspec": {
       "display_name": "master",
       "language": "python",
@@ -9869,5 +9863,7 @@
         }
       }
     }
-  }
+  },
+  "nbformat": 4,
+  "nbformat_minor": 5
 }