{
 "cells": [
  {
   "cell_type": "code",
   "execution_count": 1,
   "id": "efbec4bf",
   "metadata": {},
   "outputs": [],
   "source": [
    "from groq import Groq\n",
    "from typing import Literal\n",
    "import os"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "id": "e8943c7d",
   "metadata": {},
   "outputs": [],
   "source": [
    "os.environ[\"GROQ_API_KEY\"] = \"YOUR GROQ KEY HERE\""
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "id": "394c1f72",
   "metadata": {},
   "outputs": [],
   "source": [
    "def build_prompt(question, mode: Literal[\"cot\",\"base\"]=\"base\"):\n",
    "\n",
    "    if mode==\"cot\":\n",
    "        return f\"Q: {question}\\nLet's think step by step:\\n\"\n",
    "    else:\n",
    "        return f\"Q: {question}\\nA:\""
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "id": "5d6dc71b",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Since K is the husband of R, and V is the son of K, then R is the mother of V.\n"
     ]
    }
   ],
   "source": [
    "question = \"If V is the son of K, and K is the father of S and husband of R, then who is R to V\"\n",
    "\n",
    "cot_prompt = build_prompt(question, mode=\"base\")\n",
    "\n",
    "client = Groq()\n",
    "response = client.chat.completions.create(\n",
    "    model=\"llama3-8b-8192\",\n",
    "    messages=[\n",
    "        {\"role\": \"system\", \"content\": \"You are a helpful assistant.\"},\n",
    "        {\"role\": \"user\", \"content\": cot_prompt}\n",
    "    ],\n",
    "    temperature=0.7,\n",
    "    max_tokens=200,\n",
    ")\n",
    "\n",
    "print(response.choices[0].message.content)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "id": "67b9d179",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "'Since K is the husband of R, and V is the son of K, then R is the mother of V.'"
      ]
     },
     "execution_count": 5,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "response.choices[0].message.content.strip().split(\"\\n\")[-1]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "id": "e84a6a58",
   "metadata": {},
   "outputs": [],
   "source": [
    "from src.cot import generate_answer\n",
    "from src.consistency import self_consistent_answer"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "id": "c0b3a1b5",
   "metadata": {},
   "outputs": [],
   "source": [
    "ans = generate_answer(question, mode=\"cot\",zero_shot=True)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "id": "e9752254",
   "metadata": {},
   "outputs": [],
   "source": [
    "ans2 = self_consistent_answer(question)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "id": "3678816d",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "([\"Let's break it down:\\n\\n* V is the son of K, so K is V's parent.\\n* K is the father of S, so K is S's parent.\\n* K is the husband of R, which means R is K's spouse.\\n\\nSince K is V's parent, and K is married to R, it means R is V's grandparent. Specifically, R is V's mother's mother, or V's maternal grandmother.\",\n",
       "  'Since K is the husband of R, and V is the son of K, that makes R the mother of V.',\n",
       "  'Since K is the husband of R, and V is the son of K, then R is the mother of V.'],\n",
       " [\"Since K is V's parent, and K is married to R, it means R is V's grandparent. Specifically, R is V's mother's mother, or V's maternal grandmother.\",\n",
       "  'Since K is the husband of R, and V is the son of K, that makes R the mother of V.',\n",
       "  'Since K is the husband of R, and V is the son of K, then R is the mother of V.'])"
      ]
     },
     "execution_count": 10,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "ans2"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "72fd9b9d",
   "metadata": {},
   "outputs": [],
   "source": []
  }
 ],
 "metadata": {
  "kernelspec": {
   "display_name": "LLM_reasoning",
   "language": "python",
   "name": "python3"
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  "language_info": {
   "codemirror_mode": {
    "name": "ipython",
    "version": 3
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   "file_extension": ".py",
   "mimetype": "text/x-python",
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   "nbconvert_exporter": "python",
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