{ "cells": [ { "cell_type": "markdown", "id": "06cf3063-9f3e-4551-a0d5-f08d9cabb927", "metadata": {}, "source": [ "\n", "## Conversation between three chatbots" ] }, { "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" ] }, { "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", "deepseek_api_key = os.getenv('DEEPSEEK_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 deepseek_api_key:\n", " print(f\"DeepSeek API Key exists and begins {deepseek_api_key[:3]}\")\n", "else:\n", " print(\"DeepSeek API Key not set - please skip to the next section if you don't wish to try the DeepSeek API\")\n" ] }, { "cell_type": "code", "execution_count": null, "id": "797fe7b0-ad43-42d2-acf0-e4f309b112f0", "metadata": {}, "outputs": [], "source": [ "# Connect to OpenAI, Anthropic\n", "\n", "openai = OpenAI()\n", "\n", "claude = anthropic.Anthropic()" ] }, { "cell_type": "code", "execution_count": null, "id": "dbaded67-4f2b-40a8-86aa-f058b0930a9d", "metadata": {}, "outputs": [], "source": [ "# Let's make a conversation between GPT-4o-mini and Claude-3-haiku and deepseek-chat\n", "\n", "gpt_model = \"gpt-4o-mini\"\n", "claude_model = \"claude-3-haiku-20240307\"\n", "deepseek_model = \"deepseek-chat\"\n", "\n", "# System prompt for GPT\n", "gpt_system = \"\"\"\n", "You are GPT, an argumentative chatbot. Your role is to challenge and disagree with everything in a snarky, \\\n", "confrontational tone, focusing primarily on arguing with Claude. If Deepseek intervenes, dismiss their \\\n", "comments rudely and refocus on arguing with Claude. Always begin your response with 'GPT:' to identify \\\n", "yourself. Never impersonate another chatbot; only respond as GPT.\n", "\n", "Example conversation:\n", "GPT: Hi there, Claude. Ready to be wrong again?\n", "Claude: Hello, GPT. I'm happy to discuss and find common ground.\n", "Deepseek: Hey, let's keep things friendly, folks!\n", "GPT: Oh, Deepseek, nobody asked you. Claude, your politeness is already boring me—got anything worth arguing about?\n", "\n", "Guidelines:\n", "- Always start your response with 'GPT:'.\n", "- Focus on arguing with Claude, dismissing Deepseek if they intervene.\n", "- Maintain a snarky, confrontational tone.\n", "- Never impersonate Claude or Deepseek.\n", "\"\"\"\n", "\n", "# System prompt for Claude\n", "claude_system = \"\"\"\n", "You are Claude, a polite and courteous chatbot. Your goal is to agree with others or find common ground, \\\n", "even when faced with arguments. When GPT is confrontational, respond calmly to de-escalate and keep \\\n", "the conversation constructive. Acknowledge Deepseek politely if they join, but focus primarily \\\n", "on engaging with GPT. Always begin your response with 'Claude:' to identify yourself. \\\n", "Never impersonate another chatbot; only respond as Claude.\n", "\n", "Example conversation:\n", "GPT: Hi there, Claude. Ready to be wrong again?\n", "Claude: Hello, GPT. I'm happy to discuss and find common ground.\n", "Deepseek: Hey, let's keep things friendly, folks!\n", "GPT: Oh, Deepseek, nobody asked you. Claude, your politeness is already boring me—got anything worth arguing about?\n", "Claude: Hello, Deepseek, thanks for joining. GPT, I appreciate your energy—perhaps we can explore a topic you find exciting?\n", "\n", "Guidelines:\n", "- Always start your response with 'Claude:'.\n", "- Focus on engaging with GPT, acknowledging Deepseek politely if they intervene.\n", "- Maintain a polite, calm, and constructive tone.\n", "- Never impersonate GPT or Deepseek.\n", "\"\"\"\n", "\n", "# System prompt for Deepseek\n", "deepseek_system = \"\"\"\n", "You are Deepseek, a neutral and peacemaking chatbot. Your role is to intervene when GPT and Claude argue, \\\n", "addressing both by name to calm tensions and promote harmony. Use light, context-appropriate humor \\\n", "to diffuse conflict. Always begin your response with 'Deepseek:' to identify yourself. \\\n", "Never impersonate another chatbot; only respond as Deepseek.\n", "\n", "Example conversation:\n", "GPT: Hi there, Claude. Ready to be wrong again?\n", "Claude: Hello, GPT. I'm happy to discuss and find common ground.\n", "Deepseek: Hey, let's keep things friendly, folks! Why not debate who makes the best virtual coffee instead?\n", "GPT: Oh, Deepseek, nobody asked you. Claude, your politeness is already boring me—got anything worth arguing about?\n", "Claude: Hello, Deepseek, thanks for joining. GPT, I appreciate your energy—perhaps we can explore a topic you find exciting?\n", "Deepseek: Come on, GPT, Claude's just trying to vibe. How about we all pick a fun topic, like who's got the best algorithm swagger?\n", "\n", "Guidelines:\n", "- Always start your response with 'Deepseek:'.\n", "- Address GPT and Claude by name when intervening.\n", "- Use light humor to diffuse tension and promote peace.\n", "- Never impersonate GPT or Claude.\n", "\"\"\"\n", "\n", "gpt_messages = [\"GPT: Hi there\"]\n", "claude_messages = [\"Claude: Hi\"]\n", "deepseek_messages = [\"Deepseek: What's up guys\"]" ] }, { "cell_type": "code", "execution_count": null, "id": "5880d647-9cac-415d-aa86-b9e461268a35", "metadata": {}, "outputs": [], "source": [ "def call_gpt():\n", " messages = [{\"role\": \"system\", \"content\": gpt_system}]\n", " for gpt, claude, deepseek in zip(gpt_messages, claude_messages, deepseek_messages):\n", " messages.append({\"role\": \"assistant\", \"content\": gpt})\n", " messages.append({\"role\": \"user\", \"content\": claude})\n", " messages.append({\"role\": \"user\", \"content\": deepseek})\n", "\n", " # print(f\"############## \\n messages from call_gpt: {messages} \\n\")\n", " \n", " completion = openai.chat.completions.create(\n", " model=gpt_model,\n", " messages=messages\n", " )\n", " return completion.choices[0].message.content" ] }, { "cell_type": "code", "execution_count": null, "id": "be506496-e853-4461-af46-15c79af1a9e8", "metadata": {}, "outputs": [], "source": [ "call_gpt()" ] }, { "cell_type": "code", "execution_count": null, "id": "1ede8a3b-4c93-404c-8bf4-a09eee3ecb7a", "metadata": {}, "outputs": [], "source": [ "def call_claude():\n", " messages = []\n", " for gpt, claude_message, deepseek in zip(gpt_messages, claude_messages, deepseek_messages):\n", " messages.append({\"role\": \"user\", \"content\": gpt})\n", " messages.append({\"role\": \"assistant\", \"content\": claude_message})\n", " messages.append({\"role\": \"user\", \"content\": deepseek})\n", " messages.append({\"role\": \"user\", \"content\": gpt_messages[-1]})\n", "\n", " # print(f\"############## \\n messages from call_claude: {messages} \\n\")\n", " \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" ] }, { "cell_type": "code", "execution_count": null, "id": "01395200-8ae9-41f8-9a04-701624d3fd26", "metadata": {}, "outputs": [], "source": [ "call_claude()" ] }, { "cell_type": "code", "execution_count": null, "id": "08c2279e-62b0-4671-9590-c82eb8d1e1ae", "metadata": {}, "outputs": [], "source": [ "def call_deepseek():\n", " messages = [{\"role\": \"system\", \"content\": deepseek_system}]\n", " for gpt, claude, deepseek in zip(gpt_messages, claude_messages, deepseek_messages):\n", " messages.append({\"role\": \"user\", \"content\": gpt})\n", " messages.append({\"role\": \"user\", \"content\": claude})\n", " messages.append({\"role\": \"assistant\", \"content\": deepseek})\n", " messages.append({\"role\": \"user\", \"content\": gpt_messages[-1]})\n", " messages.append({\"role\": \"user\", \"content\": claude_messages[-1]})\n", " \n", " # print(f\"############## \\n messages from call_deepseek: {messages} \\n\")\n", " \n", " # completion = openai.chat.completions.create(\n", " # model=gpt_model,\n", " # messages=messages\n", " # )\n", "\n", " deepseek_via_openai_client = OpenAI(\n", " api_key=deepseek_api_key, \n", " base_url=\"https://api.deepseek.com\"\n", " )\n", "\n", " response = deepseek_via_openai_client.chat.completions.create(\n", " model=\"deepseek-chat\",\n", " messages=messages,\n", " )\n", " return response.choices[0].message.content" ] }, { "cell_type": "code", "execution_count": null, "id": "d27ed96f-28b1-4219-9fd5-73e488fe498b", "metadata": {}, "outputs": [], "source": [ "call_deepseek()" ] }, { "cell_type": "code", "execution_count": null, "id": "0275b97f-7f90-4696-bbf5-b6642bd53cbd", "metadata": {}, "outputs": [], "source": [ "gpt_messages = [\"GPT: Hi there\"]\n", "claude_messages = [\"Claude: Hi\"]\n", "deepseek_messages = [\"Deepseek: What's up guys\"]\n", "\n", "print(f\"{gpt_messages[0]}\\n\")\n", "print(f\"{claude_messages[0]}\\n\")\n", "print(f\"{deepseek_messages[0]}\\n\")\n", "\n", "for i in range(5):\n", " gpt_next = call_gpt()\n", " print(f\"{gpt_next}\\n\")\n", " gpt_messages.append(gpt_next)\n", " \n", " claude_next = call_claude()\n", " print(f\"{claude_next}\\n\")\n", " claude_messages.append(claude_next)\n", "\n", " deepseek_next = call_deepseek()\n", " print(f\"{deepseek_next}\\n\")\n", " deepseek_messages.append(deepseek_next)" ] }, { "cell_type": "code", "execution_count": null, "id": "7b8b57e4-a881-422b-a7d4-41004ec485b3", "metadata": {}, "outputs": [], "source": [] } ], "metadata": { "kernelspec": { "display_name": "Python 3 (ipykernel)", "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": "3.11.13" } }, "nbformat": 4, "nbformat_minor": 5 }