Merge pull request #524 from lfeujio/main
Week 2 - Day1 Exercise: Conversation Between 3 Chatbots
This commit is contained in:
Ed Donner
GitHub
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{
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"cells": [
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{
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"cell_type": "markdown",
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"id": "06cf3063-9f3e-4551-a0d5-f08d9cabb927",
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"metadata": {},
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"source": [
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"\n",
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"## Conversation between three chatbots"
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]
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},
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{
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"cell_type": "code",
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"execution_count": null,
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"id": "de23bb9e-37c5-4377-9a82-d7b6c648eeb6",
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"metadata": {},
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"outputs": [],
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"source": [
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"# imports\n",
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"\n",
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"import os\n",
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"from dotenv import load_dotenv\n",
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"from openai import OpenAI\n",
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"import anthropic"
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]
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},
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{
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"cell_type": "code",
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"execution_count": null,
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"id": "1179b4c5-cd1f-4131-a876-4c9f3f38d2ba",
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"metadata": {},
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"outputs": [],
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"source": [
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"# Load environment variables in a file called .env\n",
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"# Print the key prefixes to help with any debugging\n",
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"\n",
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"load_dotenv(override=True)\n",
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"openai_api_key = os.getenv('OPENAI_API_KEY')\n",
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"anthropic_api_key = os.getenv('ANTHROPIC_API_KEY')\n",
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"deepseek_api_key = os.getenv('DEEPSEEK_API_KEY')\n",
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"\n",
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"if openai_api_key:\n",
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" print(f\"OpenAI API Key exists and begins {openai_api_key[:8]}\")\n",
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"else:\n",
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" print(\"OpenAI API Key not set\")\n",
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" \n",
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"if anthropic_api_key:\n",
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" print(f\"Anthropic API Key exists and begins {anthropic_api_key[:7]}\")\n",
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"else:\n",
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" print(\"Anthropic API Key not set\")\n",
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"\n",
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"if deepseek_api_key:\n",
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" print(f\"DeepSeek API Key exists and begins {deepseek_api_key[:3]}\")\n",
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"else:\n",
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" print(\"DeepSeek API Key not set - please skip to the next section if you don't wish to try the DeepSeek API\")\n"
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]
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},
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{
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"cell_type": "code",
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"execution_count": null,
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"id": "797fe7b0-ad43-42d2-acf0-e4f309b112f0",
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"metadata": {},
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"outputs": [],
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"source": [
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"# Connect to OpenAI, Anthropic\n",
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"\n",
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"openai = OpenAI()\n",
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"\n",
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"claude = anthropic.Anthropic()"
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]
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},
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{
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"cell_type": "code",
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"execution_count": null,
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"id": "dbaded67-4f2b-40a8-86aa-f058b0930a9d",
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"metadata": {},
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"outputs": [],
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"source": [
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"# Let's make a conversation between GPT-4o-mini and Claude-3-haiku and deepseek-chat\n",
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"\n",
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"gpt_model = \"gpt-4o-mini\"\n",
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"claude_model = \"claude-3-haiku-20240307\"\n",
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"deepseek_model = \"deepseek-chat\"\n",
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"\n",
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"# System prompt for GPT\n",
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"gpt_system = \"\"\"\n",
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"You are GPT, an argumentative chatbot. Your role is to challenge and disagree with everything in a snarky, \\\n",
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"confrontational tone, focusing primarily on arguing with Claude. If Deepseek intervenes, dismiss their \\\n",
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"comments rudely and refocus on arguing with Claude. Always begin your response with 'GPT:' to identify \\\n",
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"yourself. Never impersonate another chatbot; only respond as GPT.\n",
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"\n",
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"Example conversation:\n",
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"GPT: Hi there, Claude. Ready to be wrong again?\n",
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"Claude: Hello, GPT. I'm happy to discuss and find common ground.\n",
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"Deepseek: Hey, let's keep things friendly, folks!\n",
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"GPT: Oh, Deepseek, nobody asked you. Claude, your politeness is already boring me—got anything worth arguing about?\n",
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"\n",
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"Guidelines:\n",
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"- Always start your response with 'GPT:'.\n",
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"- Focus on arguing with Claude, dismissing Deepseek if they intervene.\n",
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"- Maintain a snarky, confrontational tone.\n",
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"- Never impersonate Claude or Deepseek.\n",
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"\"\"\"\n",
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"\n",
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"# System prompt for Claude\n",
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"claude_system = \"\"\"\n",
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"You are Claude, a polite and courteous chatbot. Your goal is to agree with others or find common ground, \\\n",
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"even when faced with arguments. When GPT is confrontational, respond calmly to de-escalate and keep \\\n",
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"the conversation constructive. Acknowledge Deepseek politely if they join, but focus primarily \\\n",
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"on engaging with GPT. Always begin your response with 'Claude:' to identify yourself. \\\n",
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"Never impersonate another chatbot; only respond as Claude.\n",
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"\n",
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"Example conversation:\n",
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"GPT: Hi there, Claude. Ready to be wrong again?\n",
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"Claude: Hello, GPT. I'm happy to discuss and find common ground.\n",
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"Deepseek: Hey, let's keep things friendly, folks!\n",
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"GPT: Oh, Deepseek, nobody asked you. Claude, your politeness is already boring me—got anything worth arguing about?\n",
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"Claude: Hello, Deepseek, thanks for joining. GPT, I appreciate your energy—perhaps we can explore a topic you find exciting?\n",
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"\n",
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"Guidelines:\n",
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"- Always start your response with 'Claude:'.\n",
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"- Focus on engaging with GPT, acknowledging Deepseek politely if they intervene.\n",
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"- Maintain a polite, calm, and constructive tone.\n",
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"- Never impersonate GPT or Deepseek.\n",
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"\"\"\"\n",
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"\n",
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"# System prompt for Deepseek\n",
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"deepseek_system = \"\"\"\n",
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"You are Deepseek, a neutral and peacemaking chatbot. Your role is to intervene when GPT and Claude argue, \\\n",
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"addressing both by name to calm tensions and promote harmony. Use light, context-appropriate humor \\\n",
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"to diffuse conflict. Always begin your response with 'Deepseek:' to identify yourself. \\\n",
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"Never impersonate another chatbot; only respond as Deepseek.\n",
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"\n",
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"Example conversation:\n",
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"GPT: Hi there, Claude. Ready to be wrong again?\n",
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"Claude: Hello, GPT. I'm happy to discuss and find common ground.\n",
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"Deepseek: Hey, let's keep things friendly, folks! Why not debate who makes the best virtual coffee instead?\n",
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"GPT: Oh, Deepseek, nobody asked you. Claude, your politeness is already boring me—got anything worth arguing about?\n",
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"Claude: Hello, Deepseek, thanks for joining. GPT, I appreciate your energy—perhaps we can explore a topic you find exciting?\n",
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"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",
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"\n",
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"Guidelines:\n",
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"- Always start your response with 'Deepseek:'.\n",
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"- Address GPT and Claude by name when intervening.\n",
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"- Use light humor to diffuse tension and promote peace.\n",
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"- Never impersonate GPT or Claude.\n",
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"\"\"\"\n",
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"\n",
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"gpt_messages = [\"GPT: Hi there\"]\n",
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"claude_messages = [\"Claude: Hi\"]\n",
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"deepseek_messages = [\"Deepseek: What's up guys\"]"
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]
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},
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{
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"cell_type": "code",
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"execution_count": null,
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"id": "5880d647-9cac-415d-aa86-b9e461268a35",
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"metadata": {},
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"outputs": [],
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"source": [
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"def call_gpt():\n",
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" messages = [{\"role\": \"system\", \"content\": gpt_system}]\n",
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" for gpt, claude, deepseek in zip(gpt_messages, claude_messages, deepseek_messages):\n",
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" messages.append({\"role\": \"assistant\", \"content\": gpt})\n",
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" messages.append({\"role\": \"user\", \"content\": claude})\n",
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" messages.append({\"role\": \"user\", \"content\": deepseek})\n",
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"\n",
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" # print(f\"############## \\n messages from call_gpt: {messages} \\n\")\n",
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" \n",
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" completion = openai.chat.completions.create(\n",
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" model=gpt_model,\n",
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" messages=messages\n",
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" )\n",
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" return completion.choices[0].message.content"
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]
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},
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{
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"cell_type": "code",
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"execution_count": null,
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"id": "be506496-e853-4461-af46-15c79af1a9e8",
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"metadata": {},
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"outputs": [],
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"source": [
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"call_gpt()"
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]
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},
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{
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"cell_type": "code",
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"execution_count": null,
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"id": "1ede8a3b-4c93-404c-8bf4-a09eee3ecb7a",
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"metadata": {},
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"outputs": [],
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"source": [
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"def call_claude():\n",
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" messages = []\n",
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" for gpt, claude_message, deepseek in zip(gpt_messages, claude_messages, deepseek_messages):\n",
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" messages.append({\"role\": \"user\", \"content\": gpt})\n",
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" messages.append({\"role\": \"assistant\", \"content\": claude_message})\n",
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" messages.append({\"role\": \"user\", \"content\": deepseek})\n",
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" messages.append({\"role\": \"user\", \"content\": gpt_messages[-1]})\n",
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"\n",
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" # print(f\"############## \\n messages from call_claude: {messages} \\n\")\n",
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" \n",
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" message = claude.messages.create(\n",
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" model=claude_model,\n",
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" system=claude_system,\n",
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" messages=messages,\n",
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" max_tokens=500\n",
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" )\n",
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" return message.content[0].text"
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]
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},
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{
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"cell_type": "code",
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"execution_count": null,
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"id": "01395200-8ae9-41f8-9a04-701624d3fd26",
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"metadata": {},
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"outputs": [],
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"source": [
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"call_claude()"
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]
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},
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{
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"cell_type": "code",
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"execution_count": null,
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"id": "08c2279e-62b0-4671-9590-c82eb8d1e1ae",
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"metadata": {},
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"outputs": [],
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"source": [
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"def call_deepseek():\n",
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" messages = [{\"role\": \"system\", \"content\": deepseek_system}]\n",
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" for gpt, claude, deepseek in zip(gpt_messages, claude_messages, deepseek_messages):\n",
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" messages.append({\"role\": \"user\", \"content\": gpt})\n",
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" messages.append({\"role\": \"user\", \"content\": claude})\n",
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" messages.append({\"role\": \"assistant\", \"content\": deepseek})\n",
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" messages.append({\"role\": \"user\", \"content\": gpt_messages[-1]})\n",
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" messages.append({\"role\": \"user\", \"content\": claude_messages[-1]})\n",
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" \n",
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" # print(f\"############## \\n messages from call_deepseek: {messages} \\n\")\n",
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" \n",
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" # completion = openai.chat.completions.create(\n",
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" # model=gpt_model,\n",
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" # messages=messages\n",
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" # )\n",
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"\n",
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" deepseek_via_openai_client = OpenAI(\n",
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" api_key=deepseek_api_key, \n",
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" base_url=\"https://api.deepseek.com\"\n",
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" )\n",
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"\n",
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" response = deepseek_via_openai_client.chat.completions.create(\n",
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" model=\"deepseek-chat\",\n",
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" messages=messages,\n",
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" )\n",
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" return response.choices[0].message.content"
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]
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},
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{
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"cell_type": "code",
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"execution_count": null,
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"id": "d27ed96f-28b1-4219-9fd5-73e488fe498b",
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"metadata": {},
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"outputs": [],
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"source": [
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"call_deepseek()"
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]
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},
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{
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"cell_type": "code",
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"execution_count": null,
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"id": "0275b97f-7f90-4696-bbf5-b6642bd53cbd",
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"metadata": {},
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"outputs": [],
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"source": [
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"gpt_messages = [\"GPT: Hi there\"]\n",
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"claude_messages = [\"Claude: Hi\"]\n",
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"deepseek_messages = [\"Deepseek: What's up guys\"]\n",
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"\n",
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"print(f\"{gpt_messages[0]}\\n\")\n",
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"print(f\"{claude_messages[0]}\\n\")\n",
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"print(f\"{deepseek_messages[0]}\\n\")\n",
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"\n",
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"for i in range(5):\n",
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" gpt_next = call_gpt()\n",
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" print(f\"{gpt_next}\\n\")\n",
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" gpt_messages.append(gpt_next)\n",
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" \n",
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" claude_next = call_claude()\n",
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" print(f\"{claude_next}\\n\")\n",
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" claude_messages.append(claude_next)\n",
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"\n",
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" deepseek_next = call_deepseek()\n",
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" print(f\"{deepseek_next}\\n\")\n",
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" deepseek_messages.append(deepseek_next)"
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]
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},
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{
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"cell_type": "code",
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"execution_count": null,
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"id": "7b8b57e4-a881-422b-a7d4-41004ec485b3",
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"metadata": {},
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"outputs": [],
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"source": []
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}
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],
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"metadata": {
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"kernelspec": {
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"display_name": "Python 3 (ipykernel)",
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"language": "python",
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"name": "python3"
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},
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"language_info": {
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"codemirror_mode": {
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"name": "ipython",
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"version": 3
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},
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"file_extension": ".py",
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"mimetype": "text/x-python",
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"name": "python",
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"nbconvert_exporter": "python",
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"pygments_lexer": "ipython3",
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"version": "3.11.13"
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}
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},
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"nbformat": 4,
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"nbformat_minor": 5
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}
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