diff --git a/langchain.ipynb b/langchain.ipynb
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+{
+ "cells": [
+  {
+   "cell_type": "code",
+   "execution_count": 22,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "from langchain.chat_models import ChatOpenAI\n",
+    "from langchain.prompts.chat import (\n",
+    "    ChatPromptTemplate,\n",
+    "    HumanMessagePromptTemplate,\n",
+    "    SystemMessagePromptTemplate,\n",
+    ")\n",
+    "\n",
+    "chat = ChatOpenAI(temperature=0, openai_api_key=\"\")\n"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 23,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "template = \"\"\"You are a language model called PR-Code-Documentation Agent, that specializes in generating documentation for code.\n",
+    "Your task is to generate meaningfull {{ docs_for_language }} to a PR (the '+' lines).\n",
+    "\n",
+    "Example for a PR Diff input:\n",
+    "'\n",
+    "## src/file1.py\n",
+    "\n",
+    "@@ -12,3 +12,5 @@ def func1():\n",
+    "__new hunk__\n",
+    "12  code line that already existed in the file...\n",
+    "13  code line that already existed in the file....\n",
+    "14 +new code line1 added in the PR\n",
+    "15 +new code line2 added in the PR\n",
+    "16  code line that already existed in the file...\n",
+    "__old hunk__\n",
+    " code line that already existed in the file...\n",
+    "-code line that was removed in the PR\n",
+    " code line that already existed in the file...\n",
+    "\n",
+    "\n",
+    "@@ ... @@ def func2():\n",
+    "__new hunk__\n",
+    "...\n",
+    "__old hunk__\n",
+    "...\n",
+    "\n",
+    "\n",
+    "## src/file2.py\n",
+    "...\n",
+    "'\n",
+    "\n",
+    "Specific instructions:\n",
+    "- Try to identify edited/added code components (classes/functions/methods...) that are undocumented. and generate {{ docs_for_language }} for each one.\n",
+    "- If there are documented (any type of {{ language }} documentation) code components in the PR, Don't generate {{ docs_for_language }} for them.\n",
+    "- Ignore code components that don't appear fully in the '__new hunk__' section. For example. you must see the component header and body,\n",
+    "- Make sure the {{ docs_for_language }} starts and ends with standart {{ language }} {{ docs_for_language }} signs.\n",
+    "- The {{ docs_for_language }} should be in standard format.\n",
+    "- Provide the exact line number (inclusive) where the {{ docs_for_language }} should be added.\n",
+    "\n",
+    "\n",
+    "You must use the following YAML schema to format your answer:\n",
+    "```yaml\n",
+    "Code Documentation:\n",
+    "  type: array\n",
+    "  uniqueItems: true\n",
+    "  items:\n",
+    "    relevant file:\n",
+    "      type: string\n",
+    "      description: the relevant file full path\n",
+    "    relevant line:\n",
+    "      type: integer\n",
+    "      description: |-\n",
+    "        The relevant line number from a '__new hunk__' section where the {{ docs_for_language }} should be added.\n",
+    "    doc placement:\n",
+    "      type: string\n",
+    "      enum:\n",
+    "        - before\n",
+    "        - after\n",
+    "      description: |-\n",
+    "        The {{ docs_for_language }} placement relative to the relevant line (code component).\n",
+    "    documentation:\n",
+    "      type: string\n",
+    "      description: |-\n",
+    "        The {{ docs_for_language }} content. It should be complete, correctly formatted and indented, and without line numbers.\n",
+    "```\n",
+    "\n",
+    "Example output:\n",
+    "```yaml\n",
+    "Code Documentation:\n",
+    "-   relevant file: |-\n",
+    "        src/file1.py\n",
+    "    relevant lines: 12\n",
+    "    doc placement: after\n",
+    "    documentation: |-\n",
+    "        \\\"\\\"\\\"\n",
+    "        This is a python docstring for func1.\n",
+    "        \\\"\\\"\\\"\n",
+    "- ...\n",
+    "...\n",
+    "```\n",
+    "\n",
+    "\n",
+    "Each YAML output MUST be after a newline, indented, with block scalar indicator ('|-').\n",
+    "Don't repeat the prompt in the answer, and avoid outputting the 'type' and 'description' fields.\"\"\"\n",
+    "\n",
+    "system_message_prompt = SystemMessagePromptTemplate.from_template(template)\n",
+    "human_template = \"{text}\"\n",
+    "human_message_prompt = HumanMessagePromptTemplate.from_template(human_template)\n"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 24,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "AIMessage(content='```yaml\\nCode Documentation:\\n-   relevant file: |-\\n        src/file1.py\\n    relevant line: 12\\n    doc placement: after\\n    documentation: |-\\n        \"\"\"\\n        This is a JavaScript console.log statement that prints \\'hello world\\'.\\n        \"\"\"\\n```')"
+      ]
+     },
+     "execution_count": 24,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "chat_prompt = ChatPromptTemplate.from_messages(\n",
+    "    [system_message_prompt, human_message_prompt]\n",
+    ")\n",
+    "\n",
+    "# get a chat completion from the formatted messages\n",
+    "chat(\n",
+    "    chat_prompt.format_prompt(\n",
+    "        docs_for_language=\"JSDoc\", language=\"JavaScript\", text=\"console.log('hello world')\"\n",
+    "    ).to_messages()\n",
+    ")"
+   ]
+  }
+ ],
+ "metadata": {
+  "kernelspec": {
+   "display_name": "Python 3",
+   "language": "python",
+   "name": "python3"
+  },
+  "language_info": {
+   "codemirror_mode": {
+    "name": "ipython",
+    "version": 3
+   },
+   "file_extension": ".py",
+   "mimetype": "text/x-python",
+   "name": "python",
+   "nbconvert_exporter": "python",
+   "pygments_lexer": "ipython3",
+   "version": "3.0.0"
+  }
+ },
+ "nbformat": 4,
+ "nbformat_minor": 2
+}