diff --git a/docs/docs/tutorials/llm_chain.ipynb b/docs/docs/tutorials/llm_chain.ipynb
index 0b9547568b2..690b51aadda 100644
--- a/docs/docs/tutorials/llm_chain.ipynb
+++ b/docs/docs/tutorials/llm_chain.ipynb
@@ -39,6 +39,7 @@
     "\n",
     "To install LangChain run:\n",
     "\n",
+    "<!-- HIDE_IN_NB\n",
     "import Tabs from '@theme/Tabs';\n",
     "import TabItem from '@theme/TabItem';\n",
     "import CodeBlock from \"@theme/CodeBlock\";\n",
@@ -51,9 +52,28 @@
     "    <CodeBlock language=\"bash\">conda install langchain -c conda-forge</CodeBlock>\n",
     "  </TabItem>\n",
     "</Tabs>\n",
+    "HIDE_IN_NB -->"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 1,
+   "id": "86874822",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "# | output: false\n",
     "\n",
-    "\n",
-    "\n",
+    "# %pip install langchain\n",
+    "# OR\n",
+    "# %conda install langchain -c conda-forge"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "a546a5bc",
+   "metadata": {},
+   "source": [
     "For more details, see our [Installation guide](/docs/how_to/installation).\n",
     "\n",
     "### LangSmith\n",
@@ -67,17 +87,45 @@
     "```shell\n",
     "export LANGSMITH_TRACING=\"true\"\n",
     "export LANGSMITH_API_KEY=\"...\"\n",
+    "export LANGSMITH_PROJECT=\"default\" # or any other project name\n",
     "```\n",
     "\n",
-    "Or, if in a notebook, you can set them with:\n",
-    "\n",
-    "```python\n",
+    "Or, if in a notebook, you can set them with:"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 4,
+   "id": "599bb688",
+   "metadata": {},
+   "outputs": [],
+   "source": [
     "import getpass\n",
     "import os\n",
     "\n",
+    "try:\n",
+    "    # load environment variables from .env file (requires `python-dotenv`)\n",
+    "    from dotenv import load_dotenv\n",
+    "\n",
+    "    load_dotenv()\n",
+    "except ImportError:\n",
+    "    pass\n",
+    "\n",
     "os.environ[\"LANGSMITH_TRACING\"] = \"true\"\n",
-    "os.environ[\"LANGSMITH_API_KEY\"] = getpass.getpass()\n",
-    "```"
+    "if \"LANGSMITH_API_KEY\" not in os.environ:\n",
+    "    os.environ[\"LANGSMITH_API_KEY\"] = getpass.getpass(\n",
+    "        prompt=\"Enter your LangSmith API key (optional): \"\n",
+    "    )\n",
+    "if \"LANGSMITH_PROJECT\" not in os.environ:\n",
+    "    os.environ[\"LANGSMITH_PROJECT\"] = getpass.getpass(\n",
+    "        prompt='Enter your LangSmith Project Name (default = \"default\"): '\n",
+    "    )\n",
+    "    if not os.environ.get(\"LANGSMITH_PROJECT\"):\n",
+    "        os.environ[\"LANGSMITH_PROJECT\"] = \"default\"\n",
+    "if \"OPENAI_API_KEY\" not in os.environ:\n",
+    "    os.environ[\"OPENAI_API_KEY\"] = getpass.getpass(\n",
+    "        prompt=\"Enter your OpenAI API key (required if using OpenAI): \"\n",
+    "    )"
    ]
   },
   {
@@ -89,9 +137,11 @@
     "\n",
     "First up, let's learn how to use a language model by itself. LangChain supports many different language models that you can use interchangeably. For details on getting started with a specific model, refer to [supported integrations](/docs/integrations/chat/).\n",
     "\n",
+    "<!-- HIDE_IN_NB>\n",
     "import ChatModelTabs from \"@theme/ChatModelTabs\";\n",
     "\n",
-    "<ChatModelTabs overrideParams={{openai: {model: \"gpt-4o-mini\"}}} />\n"
+    "<ChatModelTabs overrideParams={{openai: {model: \"gpt-4o-mini\"}}} />\n",
+    "HIDE_IN_NB -->"
    ]
   },
   {
diff --git a/docs/scripts/notebook_convert.py b/docs/scripts/notebook_convert.py
index fb0e3c80756..33da9a5d30b 100644
--- a/docs/scripts/notebook_convert.py
+++ b/docs/scripts/notebook_convert.py
@@ -9,9 +9,12 @@ import nbformat
 from nbconvert.exporters import MarkdownExporter
 from nbconvert.preprocessors import Preprocessor
 
+HIDE_IN_NB_MAGIC_OPEN = "<!-- HIDE_IN_NB"
+HIDE_IN_NB_MAGIC_CLOSE = "HIDE_IN_NB -->"
+
 
 class EscapePreprocessor(Preprocessor):
-    def preprocess_cell(self, cell, resources, cell_index):
+    def preprocess_cell(self, cell, resources, index):
         if cell.cell_type == "markdown":
             # rewrite .ipynb links to .md
             cell.source = re.sub(
@@ -61,7 +64,7 @@ class ExtractAttachmentsPreprocessor(Preprocessor):
     outputs are returned in the 'resources' dictionary.
     """
 
-    def preprocess_cell(self, cell, resources, cell_index):
+    def preprocess_cell(self, cell, resources, index):
         """
         Apply a transformation on each cell,
         Parameters
@@ -117,11 +120,19 @@ class CustomRegexRemovePreprocessor(Preprocessor):
         return nb, resources
 
 
+class UnHidePreprocessor(Preprocessor):
+    def preprocess_cell(self, cell, resources, index):
+        cell.source = cell.source.replace(HIDE_IN_NB_MAGIC_OPEN, "")
+        cell.source = cell.source.replace(HIDE_IN_NB_MAGIC_CLOSE, "")
+        return cell, resources
+
+
 exporter = MarkdownExporter(
     preprocessors=[
         EscapePreprocessor,
         ExtractAttachmentsPreprocessor,
         CustomRegexRemovePreprocessor,
+        UnHidePreprocessor,
     ],
     template_name="mdoutput",
     extra_template_basedirs=["./scripts/notebook_convert_templates"],