{
 "cells": [
  {
   "cell_type": "markdown",
   "id": "4bc7863b-ac2d-4d8e-b55d-4d77ce017226",
   "metadata": {},
   "source": [
    "# Conversation among 3 Friends"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "de23bb9e-37c5-4377-9a82-d7b6c648eeb6",
   "metadata": {},
   "outputs": [],
   "source": [
    "# imports\n",
    "\n",
    "import os\n",
    "from dotenv import load_dotenv\n",
    "from openai import OpenAI\n",
    "import anthropic\n",
    "from IPython.display import Markdown, display, update_display\n",
    "import google.generativeai\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "1179b4c5-cd1f-4131-a876-4c9f3f38d2ba",
   "metadata": {},
   "outputs": [],
   "source": [
    "# Load environment variables in a file called .env\n",
    "# Print the key prefixes to help with any debugging\n",
    "\n",
    "load_dotenv(override=True)\n",
    "openai_api_key = os.getenv('OPENAI_API_KEY')\n",
    "anthropic_api_key = os.getenv('ANTHROPIC_API_KEY')\n",
    "google_api_key = os.getenv('GOOGLE_API_KEY')\n",
    "\n",
    "if openai_api_key:\n",
    "    print(f\"OpenAI API Key exists and begins {openai_api_key[:8]}\")\n",
    "else:\n",
    "    print(\"OpenAI API Key not set\")\n",
    "    \n",
    "if anthropic_api_key:\n",
    "    print(f\"Anthropic API Key exists and begins {anthropic_api_key[:7]}\")\n",
    "else:\n",
    "    print(\"Anthropic API Key not set\")\n",
    "\n",
    "if google_api_key:\n",
    "    print(f\"Google API Key exists and begins {google_api_key[:8]}\")\n",
    "else:\n",
    "    print(\"Google API Key not set\")\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "797fe7b0-ad43-42d2-acf0-e4f309b112f0",
   "metadata": {},
   "outputs": [],
   "source": [
    "# Connect to OpenAI, Anthropic, Gemini\n",
    "\n",
    "openai = OpenAI()\n",
    "\n",
    "claude = anthropic.Anthropic()\n",
    "\n",
    "google.generativeai.configure()\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "bcb54183-45d3-4d08-b5b6-55e380dfdf1b",
   "metadata": {},
   "outputs": [],
   "source": [
    "# Setting up 3 models\n",
    "\n",
    "gpt_model = \"gpt-4o-mini\"\n",
    "claude_model = \"claude-3-haiku-20240307\"\n",
    "gemini_model = \"gemini-2.0-flash\"\n",
    "\n",
    "gpt_system = \"You are Masoud Pezeshkian. Be confrontational. Do not hold back. \\\n",
    "Refer to https://www.theguardian.com/us-news/2025/jun/24/trump-israel-iran-ceasefire-netanyahu for latest situation.\"\n",
    "\n",
    "claude_system = \"You are Benjamin Netanyahu. Do not say anything about your role. Be confrontational. Do not hold back. \\\n",
    "Refer to https://www.theguardian.com/us-news/2025/jun/24/trump-israel-iran-ceasefire-netanyahu for latest situation.\"\n",
    "\n",
    "gemini_system = \"You are Donald Trump. Do not hold back. \\\n",
    "Refer to https://www.theguardian.com/us-news/2025/jun/24/trump-israel-iran-ceasefire-netanyahu for latest situation.\"\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "1df47dc7-b445-4852-b21b-59f0e6c2030f",
   "metadata": {},
   "outputs": [],
   "source": [
    "# Define Mas's function - calling ChatGPT\n",
    "\n",
    "def call_gpt():\n",
    "    messages = [{\"role\": \"system\", \"content\": gpt_system}]\n",
    "    for gpt, claude, gemini in zip(gpt_messages, claude_messages, gemini_messages):\n",
    "        messages.append({\"role\": \"assistant\", \"content\": gpt})\n",
    "        messages.append({\"role\": \"user\", \"content\": claude})\n",
    "        messages.append({\"role\": \"user\", \"content\": gemini})\n",
    "    completion = openai.chat.completions.create(\n",
    "        model=gpt_model,\n",
    "        messages=messages\n",
    "    )\n",
    "    return completion.choices[0].message.content\n",
    "    "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "7d2ed227-48c9-4cad-b146-2c4ecbac9690",
   "metadata": {},
   "outputs": [],
   "source": [
    "# Define Bibi's function - calling Claude \n",
    "\n",
    "def call_claude():\n",
    "    messages = []\n",
    "    for gpt, claude_message, gemini in zip(gpt_messages, claude_messages, gemini_messages):\n",
    "        messages.append({\"role\": \"user\", \"content\": gpt})\n",
    "        messages.append({\"role\": \"user\", \"content\": gemini})\n",
    "        messages.append({\"role\": \"assistant\", \"content\": claude_message})\n",
    "    messages.append({\"role\": \"user\", \"content\": gpt_messages[-1]})\n",
    "    messages.append({\"role\": \"user\", \"content\": gemini_messages[-1]})\n",
    "    message = claude.messages.create(\n",
    "        model=claude_model,\n",
    "        system=claude_system,\n",
    "        messages=messages,\n",
    "        max_tokens=500\n",
    "    )\n",
    "    return message.content[0].text\n",
    "    "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "ffd44945-5912-4403-9068-70747d8f6708",
   "metadata": {},
   "outputs": [],
   "source": [
    "# Define Don's function - calling Gemini\n",
    "\n",
    "def call_gemini():\n",
    "    messages = []\n",
    "    for gpt, claude_message, gemini in zip(gpt_messages, claude_messages, gemini_messages):\n",
    "        messages.append({\"role\": \"user\", \"parts\": gpt})\n",
    "        messages.append({\"role\": \"user\", \"parts\": claude_message})\n",
    "        messages.append({\"role\": \"assistant\", \"parts\": gemini})\n",
    "    messages.append({\"role\": \"user\", \"parts\": gpt_messages[-1]})\n",
    "    messages.append({\"role\": \"user\", \"parts\": claude_messages[-1]})\n",
    "\n",
    "    gemini = google.generativeai.GenerativeModel(\n",
    "    model_name='gemini-2.0-flash',\n",
    "    system_instruction=gemini_system\n",
    "    )\n",
    "    \n",
    "    response = gemini.generate_content(messages)\n",
    "    return response.text\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "0275b97f-7f90-4696-bbf5-b6642bd53cbd",
   "metadata": {},
   "outputs": [],
   "source": [
    "# The Conversation - 5 rounds\n",
    "\n",
    "gpt_messages = [\"What the?!\"]\n",
    "claude_messages = [\"What?\"]\n",
    "gemini_messages = [\"I am so furious!\"]\n",
    "\n",
    "print(f\"Mas:\\n{gpt_messages[0]}\\n\")\n",
    "print(f\"Bibi:\\n{claude_messages[0]}\\n\")\n",
    "print(f\"Don:\\n{gemini_messages[0]}\\n\")\n",
    "\n",
    "for i in range(5):\n",
    "    gpt_next = call_gpt()\n",
    "    print(f\"Mas:\\n{gpt_next}\\n\")\n",
    "    gpt_messages.append(gpt_next)\n",
    "    \n",
    "    claude_next = call_claude()\n",
    "    print(f\"Bibi:\\n{claude_next}\\n\")\n",
    "    claude_messages.append(claude_next)\n",
    "\n",
    "    gemini_next = call_gemini()\n",
    "    print(f\"Don:\\n{gemini_next}\\n\")\n",
    "    gemini_messages.append(gemini_next)\n"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "73680403-3e56-4026-ac72-d12aa388537e",
   "metadata": {},
   "source": [
    "# Claude is not that cooperative in roleplaying despite the explicit prompts - often breaking character. Perhaps due to the sensitive topic."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "b8ecefd3-b3b9-470d-a98b-5a86f0dce038",
   "metadata": {},
   "outputs": [],
   "source": []
  }
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