diff --git a/docs/docs/how_to/code_splitter.ipynb b/docs/docs/how_to/code_splitter.ipynb
index 3da6622478b..efa4fde9a79 100644
--- a/docs/docs/how_to/code_splitter.ipynb
+++ b/docs/docs/how_to/code_splitter.ipynb
@@ -63,7 +63,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 4,
+   "execution_count": 1,
    "id": "a9e37aa1",
    "metadata": {},
    "outputs": [],
@@ -84,7 +84,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 3,
+   "execution_count": 2,
    "id": "e21a2434",
    "metadata": {},
    "outputs": [
@@ -114,10 +114,13 @@
        " 'c',\n",
        " 'lua',\n",
        " 'perl',\n",
-       " 'haskell']"
+       " 'haskell',\n",
+       " 'elixir',\n",
+       " 'powershell',\n",
+       " 'visualbasic6']"
       ]
      },
-     "execution_count": 3,
+     "execution_count": 2,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -136,7 +139,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 3,
+   "execution_count": 6,
    "id": "c92fb913",
    "metadata": {},
    "outputs": [
@@ -146,7 +149,7 @@
        "['\\nclass ', '\\ndef ', '\\n\\tdef ', '\\n\\n', '\\n', ' ', '']"
       ]
      },
-     "execution_count": 3,
+     "execution_count": 6,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -168,18 +171,18 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 5,
+   "execution_count": 7,
    "id": "a58512b9",
    "metadata": {},
    "outputs": [
     {
      "data": {
       "text/plain": [
-       "[Document(page_content='def hello_world():\\n    print(\"Hello, World!\")'),\n",
-       " Document(page_content='# Call the function\\nhello_world()')]"
+       "[Document(metadata={}, page_content='def hello_world():\\n    print(\"Hello, World!\")'),\n",
+       " Document(metadata={}, page_content='# Call the function\\nhello_world()')]"
       ]
      },
-     "execution_count": 5,
+     "execution_count": 7,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -210,18 +213,18 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 6,
+   "execution_count": 8,
    "id": "7db0d486",
    "metadata": {},
    "outputs": [
     {
      "data": {
       "text/plain": [
-       "[Document(page_content='function helloWorld() {\\n  console.log(\"Hello, World!\");\\n}'),\n",
-       " Document(page_content='// Call the function\\nhelloWorld();')]"
+       "[Document(metadata={}, page_content='function helloWorld() {\\n  console.log(\"Hello, World!\");\\n}'),\n",
+       " Document(metadata={}, page_content='// Call the function\\nhelloWorld();')]"
       ]
      },
-     "execution_count": 6,
+     "execution_count": 8,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -254,19 +257,19 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 7,
+   "execution_count": 9,
    "id": "aee738a4",
    "metadata": {},
    "outputs": [
     {
      "data": {
       "text/plain": [
-       "[Document(page_content='function helloWorld(): void {'),\n",
-       " Document(page_content='console.log(\"Hello, World!\");\\n}'),\n",
-       " Document(page_content='// Call the function\\nhelloWorld();')]"
+       "[Document(metadata={}, page_content='function helloWorld(): void {'),\n",
+       " Document(metadata={}, page_content='console.log(\"Hello, World!\");\\n}'),\n",
+       " Document(metadata={}, page_content='// Call the function\\nhelloWorld();')]"
       ]
      },
-     "execution_count": 7,
+     "execution_count": 9,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -300,7 +303,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 2,
+   "execution_count": 10,
    "id": "ac9295d3",
    "metadata": {},
    "outputs": [],
@@ -321,7 +324,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 3,
+   "execution_count": 11,
    "id": "bfa1771b-d4b0-48f8-a949-5537cd1df0dd",
    "metadata": {},
    "outputs": [
@@ -337,7 +340,7 @@
        " Document(metadata={}, page_content='are extremely open to contributions.')]"
       ]
      },
-     "execution_count": 3,
+     "execution_count": 11,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -362,7 +365,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 10,
+   "execution_count": 12,
    "id": "77d1049d",
    "metadata": {},
    "outputs": [],
@@ -389,38 +392,38 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 11,
+   "execution_count": 13,
    "id": "4dbc47e1",
    "metadata": {},
    "outputs": [
     {
      "data": {
       "text/plain": [
-       "[Document(page_content='\\\\documentclass{article}\\n\\n\\x08egin{document}\\n\\n\\\\maketitle'),\n",
-       " Document(page_content='\\\\section{Introduction}'),\n",
-       " Document(page_content='Large language models (LLMs) are a type of machine learning'),\n",
-       " Document(page_content='model that can be trained on vast amounts of text data to'),\n",
-       " Document(page_content='generate human-like language. In recent years, LLMs have'),\n",
-       " Document(page_content='made significant advances in a variety of natural language'),\n",
-       " Document(page_content='processing tasks, including language translation, text'),\n",
-       " Document(page_content='generation, and sentiment analysis.'),\n",
-       " Document(page_content='\\\\subsection{History of LLMs}'),\n",
-       " Document(page_content='The earliest LLMs were developed in the 1980s and 1990s,'),\n",
-       " Document(page_content='but they were limited by the amount of data that could be'),\n",
-       " Document(page_content='processed and the computational power available at the'),\n",
-       " Document(page_content='time. In the past decade, however, advances in hardware and'),\n",
-       " Document(page_content='software have made it possible to train LLMs on massive'),\n",
-       " Document(page_content='datasets, leading to significant improvements in'),\n",
-       " Document(page_content='performance.'),\n",
-       " Document(page_content='\\\\subsection{Applications of LLMs}'),\n",
-       " Document(page_content='LLMs have many applications in industry, including'),\n",
-       " Document(page_content='chatbots, content creation, and virtual assistants. They'),\n",
-       " Document(page_content='can also be used in academia for research in linguistics,'),\n",
-       " Document(page_content='psychology, and computational linguistics.'),\n",
-       " Document(page_content='\\\\end{document}')]"
+       "[Document(metadata={}, page_content='\\\\documentclass{article}\\n\\n\\x08egin{document}\\n\\n\\\\maketitle'),\n",
+       " Document(metadata={}, page_content='\\\\section{Introduction}'),\n",
+       " Document(metadata={}, page_content='Large language models (LLMs) are a type of machine learning'),\n",
+       " Document(metadata={}, page_content='model that can be trained on vast amounts of text data to'),\n",
+       " Document(metadata={}, page_content='generate human-like language. In recent years, LLMs have'),\n",
+       " Document(metadata={}, page_content='made significant advances in a variety of natural language'),\n",
+       " Document(metadata={}, page_content='processing tasks, including language translation, text'),\n",
+       " Document(metadata={}, page_content='generation, and sentiment analysis.'),\n",
+       " Document(metadata={}, page_content='\\\\subsection{History of LLMs}'),\n",
+       " Document(metadata={}, page_content='The earliest LLMs were developed in the 1980s and 1990s,'),\n",
+       " Document(metadata={}, page_content='but they were limited by the amount of data that could be'),\n",
+       " Document(metadata={}, page_content='processed and the computational power available at the'),\n",
+       " Document(metadata={}, page_content='time. In the past decade, however, advances in hardware and'),\n",
+       " Document(metadata={}, page_content='software have made it possible to train LLMs on massive'),\n",
+       " Document(metadata={}, page_content='datasets, leading to significant improvements in'),\n",
+       " Document(metadata={}, page_content='performance.'),\n",
+       " Document(metadata={}, page_content='\\\\subsection{Applications of LLMs}'),\n",
+       " Document(metadata={}, page_content='LLMs have many applications in industry, including'),\n",
+       " Document(metadata={}, page_content='chatbots, content creation, and virtual assistants. They'),\n",
+       " Document(metadata={}, page_content='can also be used in academia for research in linguistics,'),\n",
+       " Document(metadata={}, page_content='psychology, and computational linguistics.'),\n",
+       " Document(metadata={}, page_content='\\\\end{document}')]"
       ]
      },
-     "execution_count": 11,
+     "execution_count": 13,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -445,7 +448,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 12,
+   "execution_count": 14,
    "id": "0fc78794",
    "metadata": {},
    "outputs": [],
@@ -479,29 +482,29 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 13,
+   "execution_count": 15,
    "id": "e3e3fca1",
    "metadata": {},
    "outputs": [
     {
      "data": {
       "text/plain": [
-       "[Document(page_content='<!DOCTYPE html>\\n<html>'),\n",
-       " Document(page_content='<head>\\n        <title>🦜️🔗 LangChain</title>'),\n",
-       " Document(page_content='<style>\\n            body {\\n                font-family: Aria'),\n",
-       " Document(page_content='l, sans-serif;\\n            }\\n            h1 {'),\n",
-       " Document(page_content='color: darkblue;\\n            }\\n        </style>\\n    </head'),\n",
-       " Document(page_content='>'),\n",
-       " Document(page_content='<body>'),\n",
-       " Document(page_content='<div>\\n            <h1>🦜️🔗 LangChain</h1>'),\n",
-       " Document(page_content='<p>⚡ Building applications with LLMs through composability ⚡'),\n",
-       " Document(page_content='</p>\\n        </div>'),\n",
-       " Document(page_content='<div>\\n            As an open-source project in a rapidly dev'),\n",
-       " Document(page_content='eloping field, we are extremely open to contributions.'),\n",
-       " Document(page_content='</div>\\n    </body>\\n</html>')]"
+       "[Document(metadata={}, page_content='<!DOCTYPE html>\\n<html>'),\n",
+       " Document(metadata={}, page_content='<head>\\n        <title>🦜️🔗 LangChain</title>'),\n",
+       " Document(metadata={}, page_content='<style>\\n            body {\\n                font-family: Aria'),\n",
+       " Document(metadata={}, page_content='l, sans-serif;\\n            }\\n            h1 {'),\n",
+       " Document(metadata={}, page_content='color: darkblue;\\n            }\\n        </style>\\n    </head'),\n",
+       " Document(metadata={}, page_content='>'),\n",
+       " Document(metadata={}, page_content='<body>'),\n",
+       " Document(metadata={}, page_content='<div>\\n            <h1>🦜️🔗 LangChain</h1>'),\n",
+       " Document(metadata={}, page_content='<p>⚡ Building applications with LLMs through composability ⚡'),\n",
+       " Document(metadata={}, page_content='</p>\\n        </div>'),\n",
+       " Document(metadata={}, page_content='<div>\\n            As an open-source project in a rapidly dev'),\n",
+       " Document(metadata={}, page_content='eloping field, we are extremely open to contributions.'),\n",
+       " Document(metadata={}, page_content='</div>\\n    </body>\\n</html>')]"
       ]
      },
-     "execution_count": 13,
+     "execution_count": 15,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -525,18 +528,18 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 14,
+   "execution_count": 16,
    "id": "49a1df11",
    "metadata": {},
    "outputs": [
     {
      "data": {
       "text/plain": [
-       "[Document(page_content='pragma solidity ^0.8.20;'),\n",
-       " Document(page_content='contract HelloWorld {\\n   function add(uint a, uint b) pure public returns(uint) {\\n       return a + b;\\n   }\\n}')]"
+       "[Document(metadata={}, page_content='pragma solidity ^0.8.20;'),\n",
+       " Document(metadata={}, page_content='contract HelloWorld {\\n   function add(uint a, uint b) pure public returns(uint) {\\n       return a + b;\\n   }\\n}')]"
       ]
      },
-     "execution_count": 14,
+     "execution_count": 16,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -569,21 +572,21 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 15,
+   "execution_count": 17,
    "id": "1524ae0f",
    "metadata": {},
    "outputs": [
     {
      "data": {
       "text/plain": [
-       "[Document(page_content='using System;'),\n",
-       " Document(page_content='class Program\\n{\\n    static void Main()\\n    {\\n        int age = 30; // Change the age value as needed'),\n",
-       " Document(page_content='// Categorize the age without any console output\\n        if (age < 18)\\n        {\\n            // Age is under 18'),\n",
-       " Document(page_content='}\\n        else if (age >= 18 && age < 65)\\n        {\\n            // Age is an adult\\n        }\\n        else\\n        {'),\n",
-       " Document(page_content='// Age is a senior citizen\\n        }\\n    }\\n}')]"
+       "[Document(metadata={}, page_content='using System;'),\n",
+       " Document(metadata={}, page_content='class Program\\n{\\n    static void Main()\\n    {\\n        int age = 30; // Change the age value as needed'),\n",
+       " Document(metadata={}, page_content='// Categorize the age without any console output\\n        if (age < 18)\\n        {\\n            // Age is under 18'),\n",
+       " Document(metadata={}, page_content='}\\n        else if (age >= 18 && age < 65)\\n        {\\n            // Age is an adult\\n        }\\n        else\\n        {'),\n",
+       " Document(metadata={}, page_content='// Age is a senior citizen\\n        }\\n    }\\n}')]"
       ]
      },
-     "execution_count": 15,
+     "execution_count": 17,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -631,20 +634,20 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 3,
+   "execution_count": 18,
    "id": "688185b5",
    "metadata": {},
    "outputs": [
     {
      "data": {
       "text/plain": [
-       "[Document(page_content='main :: IO ()'),\n",
-       " Document(page_content='main = do\\n    putStrLn \"Hello, World!\"\\n-- Some'),\n",
-       " Document(page_content='sample functions\\nadd :: Int -> Int -> Int\\nadd x y'),\n",
-       " Document(page_content='= x + y')]"
+       "[Document(metadata={}, page_content='main :: IO ()'),\n",
+       " Document(metadata={}, page_content='main = do\\n    putStrLn \"Hello, World!\"\\n-- Some'),\n",
+       " Document(metadata={}, page_content='sample functions\\nadd :: Int -> Int -> Int\\nadd x y'),\n",
+       " Document(metadata={}, page_content='= x + y')]"
       ]
      },
-     "execution_count": 3,
+     "execution_count": 18,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -676,23 +679,23 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 2,
+   "execution_count": 19,
    "id": "90c66e7e-87a5-4a81-bece-7949aabf2369",
    "metadata": {},
    "outputs": [
     {
      "data": {
       "text/plain": [
-       "[Document(page_content='<?php\\nnamespace foo;'),\n",
-       " Document(page_content='class Hello {'),\n",
-       " Document(page_content='public function __construct() { }\\n}'),\n",
-       " Document(page_content='function hello() {\\n    echo \"Hello World!\";\\n}'),\n",
-       " Document(page_content='interface Human {\\n    public function breath();\\n}'),\n",
-       " Document(page_content='trait Foo { }\\nenum Color\\n{\\n    case Red;'),\n",
-       " Document(page_content='case Blue;\\n}')]"
+       "[Document(metadata={}, page_content='<?php\\nnamespace foo;'),\n",
+       " Document(metadata={}, page_content='class Hello {'),\n",
+       " Document(metadata={}, page_content='public function __construct() { }\\n}'),\n",
+       " Document(metadata={}, page_content='function hello() {\\n    echo \"Hello World!\";\\n}'),\n",
+       " Document(metadata={}, page_content='interface Human {\\n    public function breath();\\n}'),\n",
+       " Document(metadata={}, page_content='trait Foo { }\\nenum Color\\n{\\n    case Red;'),\n",
+       " Document(metadata={}, page_content='case Blue;\\n}')]"
       ]
      },
-     "execution_count": 2,
+     "execution_count": 19,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -733,10 +736,25 @@
   },
   {
    "cell_type": "code",
-   "execution_count": null,
+   "execution_count": 20,
    "id": "7e6893ad",
    "metadata": {},
-   "outputs": [],
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "[Document(metadata={}, page_content='$directoryPath = Get-Location\\n\\n$items = Get-ChildItem -Path $directoryPath'),\n",
+       " Document(metadata={}, page_content='$files = $items | Where-Object { -not $_.PSIsContainer }'),\n",
+       " Document(metadata={}, page_content='$sortedFiles = $files | Sort-Object LastWriteTime'),\n",
+       " Document(metadata={}, page_content='foreach ($file in $sortedFiles) {'),\n",
+       " Document(metadata={}, page_content='Write-Output (\"Name: \" + $file.Name + \" | Last Write Time: \" + $file.LastWriteTime)\\n}')]"
+      ]
+     },
+     "execution_count": 20,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
    "source": [
     "POWERSHELL_CODE = \"\"\"\n",
     "$directoryPath = Get-Location\n",
@@ -757,11 +775,58 @@
     "powershell_docs = powershell_splitter.create_documents([POWERSHELL_CODE])\n",
     "powershell_docs"
    ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "3ef77730",
+   "metadata": {},
+   "source": [
+    "## Visual Basic 6"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 21,
+   "id": "1dc3c740",
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "[Document(metadata={}, page_content='Option Explicit'),\n",
+       " Document(metadata={}, page_content='Public Sub HelloWorld()\\n    MsgBox \"Hello, World!\"\\nEnd Sub'),\n",
+       " Document(metadata={}, page_content='Private Function Add(a As Integer, b As Integer) As Integer\\n    Add = a + b\\nEnd Function')]"
+      ]
+     },
+     "execution_count": 21,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "VISUALBASIC6_CODE = \"\"\"Option Explicit\n",
+    "\n",
+    "Public Sub HelloWorld()\n",
+    "    MsgBox \"Hello, World!\"\n",
+    "End Sub\n",
+    "\n",
+    "Private Function Add(a As Integer, b As Integer) As Integer\n",
+    "    Add = a + b\n",
+    "End Function\n",
+    "\"\"\"\n",
+    "visualbasic6_splitter = RecursiveCharacterTextSplitter.from_language(\n",
+    "    Language.VISUALBASIC6,\n",
+    "    chunk_size=128,\n",
+    "    chunk_overlap=0,\n",
+    ")\n",
+    "visualbasic6_docs = visualbasic6_splitter.create_documents([VISUALBASIC6_CODE])\n",
+    "visualbasic6_docs"
+   ]
   }
  ],
  "metadata": {
   "kernelspec": {
-   "display_name": "Python 3 (ipykernel)",
+   "display_name": "langchain",
    "language": "python",
    "name": "python3"
   },
@@ -775,7 +840,7 @@
    "name": "python",
    "nbconvert_exporter": "python",
    "pygments_lexer": "ipython3",
-   "version": "3.10.4"
+   "version": "3.10.16"
   }
  },
  "nbformat": 4,
diff --git a/libs/text-splitters/langchain_text_splitters/base.py b/libs/text-splitters/langchain_text_splitters/base.py
index 22e3288a190..891f988d448 100644
--- a/libs/text-splitters/langchain_text_splitters/base.py
+++ b/libs/text-splitters/langchain_text_splitters/base.py
@@ -316,6 +316,7 @@ class Language(str, Enum):
     HASKELL = "haskell"
     ELIXIR = "elixir"
     POWERSHELL = "powershell"
+    VISUALBASIC6 = "visualbasic6"
 
 
 @dataclass(frozen=True)
diff --git a/libs/text-splitters/langchain_text_splitters/character.py b/libs/text-splitters/langchain_text_splitters/character.py
index bfe4653f06f..76c4d2fe859 100644
--- a/libs/text-splitters/langchain_text_splitters/character.py
+++ b/libs/text-splitters/langchain_text_splitters/character.py
@@ -734,6 +734,32 @@ class RecursiveCharacterTextSplitter(TextSplitter):
                 " ",
                 "",
             ]
+        if language == Language.VISUALBASIC6:
+            vis = r"(?:Public|Private|Friend|Global|Static)\s+"
+            return [
+                # Split along definitions
+                rf"\n(?!End\s){vis}?Sub\s+",
+                rf"\n(?!End\s){vis}?Function\s+",
+                rf"\n(?!End\s){vis}?Property\s+(?:Get|Let|Set)\s+",
+                rf"\n(?!End\s){vis}?Type\s+",
+                rf"\n(?!End\s){vis}?Enum\s+",
+                # Split along control flow statements
+                r"\n(?!End\s)If\s+",
+                r"\nElseIf\s+",
+                r"\nElse\s+",
+                r"\nSelect\s+Case\s+",
+                r"\nCase\s+",
+                r"\nFor\s+",
+                r"\nDo\s+",
+                r"\nWhile\s+",
+                r"\nWith\s+",
+                # Split by the normal type of lines
+                r"\n\n",
+                r"\n",
+                " ",
+                "",
+            ]
+
         if language in Language._value2member_map_:
             msg = f"Language {language} is not implemented yet!"
             raise ValueError(msg)
diff --git a/libs/text-splitters/tests/unit_tests/test_text_splitters.py b/libs/text-splitters/tests/unit_tests/test_text_splitters.py
index f155dd10ab8..0d72e806309 100644
--- a/libs/text-splitters/tests/unit_tests/test_text_splitters.py
+++ b/libs/text-splitters/tests/unit_tests/test_text_splitters.py
@@ -3043,6 +3043,82 @@ $csvContent | ForEach-Object {
     ]
 
 
+FAKE_VISUALBASIC6_TEXT = """
+Option Explicit
+
+Public Function SumTwoIntegers(ByVal a As Integer, ByVal b As Integer) As Integer
+    SumTwoIntegers = a + b
+End Function
+
+Public Sub Main()
+    Dim i As Integer
+    Dim limit As Integer
+    
+    i = 0
+    limit = 50
+    
+    While i < limit
+        i = SumTwoIntegers(i, 1)
+        
+        If i = limit \\ 2 Then
+            MsgBox "Halfway there! i = " & i
+        End If
+    Wend
+    
+    MsgBox "Done! Final value of i: " & i
+End Sub
+"""
+
+
+def test_visualbasic6_code_splitter() -> None:
+    splitter = RecursiveCharacterTextSplitter.from_language(
+        Language.VISUALBASIC6,
+        chunk_size=CHUNK_SIZE,
+        chunk_overlap=0,
+    )
+    chunks = splitter.split_text(FAKE_VISUALBASIC6_TEXT)
+
+    assert chunks == [
+        "Option Explicit",
+        "Public Function",
+        "SumTwoIntegers(",
+        "ByVal",
+        "a As Integer,",
+        "ByVal b As",
+        "Integer) As",
+        "Integer",
+        "SumTwoIntegers",
+        "= a + b",
+        "End Function",
+        "Public Sub",
+        "Main()",
+        "Dim i As",
+        "Integer",
+        "Dim limit",
+        "As Integer",
+        "i = 0",
+        "limit = 50",
+        "While i <",
+        "limit",
+        "i =",
+        "SumTwoIntegers(",
+        "i,",
+        "1)",
+        "If i =",
+        "limit \\ 2 Then",
+        'MsgBox "Halfway',
+        'there! i = " &',
+        "i",
+        "End If",
+        "Wend",
+        "MsgBox",
+        '"Done! Final',
+        'value of i: " &',
+        "i",
+        "End Sub",
+    ]
+
+
 def custom_iframe_extractor(iframe_tag: Any) -> str:
     iframe_src = iframe_tag.get("src", "")
     return f"[iframe:{iframe_src}]({iframe_src})"