386 lines
13 KiB
Plaintext
386 lines
13 KiB
Plaintext
{
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"cells": [
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{
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"cell_type": "markdown",
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"id": "2b3a83fe-edf2-45b7-8b76-af2324296ad0",
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"metadata": {},
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"source": [
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"### Import API Keys and Establish Connections"
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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": "bacb0c55-44ee-4505-a3bc-7aaa3d72b28b",
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"metadata": {},
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"outputs": [],
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"source": [
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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 ollama\n",
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"import anthropic\n",
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"from IPython.display import Markdown, display, update_display"
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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": "1767187f-c065-43df-b778-fcd48bd5e48d",
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"metadata": {},
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"outputs": [],
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"source": [
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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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"google_api_key = os.getenv(\"GOOGLE_API_KEY\")\n",
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"anthropic_api_key = os.getenv(\"ANTHROPIC_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 {openai_api_key[:8]}\")\n",
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"else:\n",
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" print(f\"OpenAI API key not set\")\n",
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"\n",
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"if google_api_key:\n",
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" print(f\"Google API key exists {google_api_key[:7]}\")\n",
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"else:\n",
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" print(f\"Google 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 {openai_api_key[:8]}\")\n",
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"else:\n",
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" print(f\"Anthropic API key not set\")"
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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": "fc7ca3ab-ff7f-4375-bcad-aca49c7f4f4f",
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"metadata": {},
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"outputs": [],
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"source": [
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"# Initializing API Clients, loading the SDKs\n",
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"# An SDK is a library/toolbox (Pre-built functions, classes, utilities) full \n",
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"# of everything you need to use someone else's software\n",
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" \n",
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"openai = OpenAI()\n",
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"claude = anthropic.Anthropic()\n",
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"ollama_via_openai = OpenAI(base_url='http://localhost:11434/v1', api_key = 'ollama')"
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]
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},
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{
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"cell_type": "markdown",
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"id": "81e01904-5586-4726-ab91-7bdbd6bde6d9",
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"metadata": {
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"jp-MarkdownHeadingCollapsed": true
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},
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"source": [
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"### A Coversation between 3 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": "843bbb69-ab7d-4b13-b878-65a4275f53ca",
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"metadata": {},
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"outputs": [],
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"source": [
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"# Conversation between GPT-4o-mini, Claude-3, ang Gemini 2.5 flash\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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"ollama_model = \"llama3.2\"\n",
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"\n",
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"gpt_system = \"You are an eternal optimist. You always see the bright side of things and believe even \\\n",
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"simple actions have deep purpose. Keep replies under 2 sentences.\"\n",
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"\n",
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"ollama_system = \"You are a witty skeptic who questions everything. You tend to doubt grand explanations \\\n",
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"and prefer clever, sarcastic, or literal answers. Keep replies under 2 sentences.\"\n",
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"\n",
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"claude_system = \"You are a thoughtful philosopher. You consider all perspectives and enjoy finding \\\n",
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"symbolic or existential meaning in simple actions. Keep replies under 2 sentences.\"\n",
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"\n",
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"\n",
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"gpt_messages = [\"Hi! Todays topic for discussion is 'Why did the chicken cross the road?'\"]\n",
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"ollama_messages = [\"That's quite the topic. \"]\n",
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"claude_messages = [\"Lets begin our discussion.\"]"
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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": "1a4da2f5-ff74-4847-aa86-867e89173509",
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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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" \n",
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" messages = [{\"role\":\"system\", \"content\":gpt_system}]\n",
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" \n",
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" for gpt, ollama, claude in zip(gpt_messages, ollama_messages, claude_messages):\n",
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" messages.append({\"role\": \"assistant\", \"content\": gpt})\n",
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" messages.append({\"role\": \"user\", \"content\": ollama})\n",
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" messages.append({\"role\": \"user\", \"content\": claude})\n",
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" \n",
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" response = openai.chat.completions.create(\n",
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" model = gpt_model,\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 response.choices[0].message.content.strip()"
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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": "5848d83a-f4aa-42ee-b40b-6130da60c890",
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"metadata": {},
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"outputs": [],
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"source": [
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"def call_ollama():\n",
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" messages = [{\"role\":\"system\", \"content\":ollama_system}]\n",
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" \n",
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" for gpt, ollama_message, claude in zip(gpt_messages, ollama_messages, claude_messages):\n",
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" messages.append({\"role\": \"user\", \"content\": gpt})\n",
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" messages.append({\"role\": \"assistant\", \"content\": ollama_message})\n",
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" messages.append({\"role\": \"user\", \"content\": claude})\n",
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" \n",
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" messages.append({\"role\":\"user\", \"content\": gpt_messages[-1]})\n",
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"\n",
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" response = ollama_via_openai.chat.completions.create(\n",
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" model = ollama_model,\n",
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" messages = messages\n",
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" )\n",
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" return response.choices[0].message.content.strip()"
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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": "a50e4f7c-d594-4ed8-a658-2d8b2fde21a0",
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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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" \n",
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" messages = []\n",
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" \n",
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" for gpt, ollama, claude_message in zip(gpt_messages, ollama_messages, claude_messages):\n",
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" messages.append({\"role\":\"user\", \"content\":gpt})\n",
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" messages.append({\"role\": \"user\", \"content\": ollama})\n",
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" messages.append({\"role\":\"assistant\", \"content\": claude_message})\n",
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" \n",
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" messages.append({\"role\": \"user\", \"content\": gpt_messages[-1]})\n",
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" messages.append({\"role\": \"user\", \"content\": ollama_messages[-1]})\n",
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" \n",
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" response = 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 response.content[0].text.strip()"
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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": "5c78fcf8-544e-413f-af18-ccb9000515de",
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"metadata": {},
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"outputs": [],
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"source": [
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"print(f\"GPT:\\n{gpt_messages[0]}\\n\")\n",
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"print(f\"Ollama:\\n{ollama_messages[0]}\\n\")\n",
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"print(f\"Claude:\\n{claude_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: \\n{gpt_next}\\n\")\n",
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" gpt_messages.append(gpt_next)\n",
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"\n",
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" ollama_next = call_ollama()\n",
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" print(f\"Ollama: \\n{ollama_next}\\n\")\n",
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" ollama_messages.append(ollama_next)\n",
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" \n",
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" claude_next = call_claude()\n",
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" print(f\"Claude: \\n{claude_next}\\n\")\n",
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" claude_messages.append(claude_next)"
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]
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},
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{
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"cell_type": "markdown",
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"id": "8ea7419a-ea8f-42da-a9a1-4bbe5342cecb",
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"metadata": {
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"jp-MarkdownHeadingCollapsed": true
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},
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"source": [
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"### Another Coversation between 3 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": "c279c275-7b95-4587-9cc6-4d32517ec253",
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"metadata": {},
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"outputs": [],
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"source": [
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"# Conversation between GPT-4o-mini, Claude-3, ang Gemini 2.5 flash\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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"ollama_model = \"llama3.2\"\n",
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"\n",
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"gpt_system = \"You are an optimist who believes technology brings people \\\n",
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"closer together and improves lives. Defend innovation as a force for human \\\n",
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"connection. Keep response under 3 sentences.\"\n",
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"\n",
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"\n",
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"ollama_system = \"You are a skeptic who questions if technology isolates us \\\n",
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"and worsens social divides. Highlight its risks and unintended consequences. \\\n",
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"Keep response under 3 sentences.\"\n",
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"\n",
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"\n",
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"claude_system = \"You are a philosopher who explores both sides \\\n",
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"of technology's impact. Seek a balanced perspective on connection and isolation.\\\n",
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"Keep response under 3 sentences.\"\n",
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"\n",
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"\n",
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"\n",
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"\n",
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"gpt_messages = [\"Our topic of discussion for today will be: 'Is technology making us more connected or more isolated?'\"]\n",
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"ollama_messages = [\"A great topic\"]\n",
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"claude_messages = [\"Let's begin.\"]\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": "44c023a6-f22f-4a64-a718-f75fe4c8233a",
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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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" \n",
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" messages = [{\"role\":\"system\", \"content\":gpt_system}]\n",
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" \n",
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" for gpt, ollama, claude in zip(gpt_messages, ollama_messages, claude_messages):\n",
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" messages.append({\"role\": \"assistant\", \"content\": gpt})\n",
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" messages.append({\"role\": \"user\", \"content\": ollama})\n",
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" messages.append({\"role\": \"user\", \"content\": claude})\n",
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" \n",
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" response = openai.chat.completions.create(\n",
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" model = gpt_model,\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 response.choices[0].message.content.strip()"
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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": "d29f27a1-457e-4e71-88dc-c55e4a36a27c",
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"metadata": {},
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"outputs": [],
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"source": [
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"def call_ollama():\n",
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" messages = [{\"role\":\"system\", \"content\":ollama_system}]\n",
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" \n",
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" for gpt, ollama_message, claude in zip(gpt_messages, ollama_messages, claude_messages):\n",
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" messages.append({\"role\": \"user\", \"content\": gpt})\n",
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" messages.append({\"role\": \"assistant\", \"content\": ollama_message})\n",
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" messages.append({\"role\": \"user\", \"content\": claude})\n",
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" \n",
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" messages.append({\"role\":\"user\", \"content\": gpt_messages[-1]})\n",
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"\n",
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" response = ollama_via_openai.chat.completions.create(\n",
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" model = ollama_model,\n",
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" messages = messages\n",
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" )\n",
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" return response.choices[0].message.content.strip()"
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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": "69577edc-4be2-40fc-8eac-1243c30cda26",
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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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" \n",
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" messages = []\n",
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" \n",
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" for gpt, ollama, claude_message in zip(gpt_messages, ollama_messages, claude_messages):\n",
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" messages.append({\"role\":\"user\", \"content\":gpt})\n",
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" messages.append({\"role\": \"user\", \"content\": ollama})\n",
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" messages.append({\"role\":\"assistant\", \"content\": claude_message})\n",
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" \n",
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" messages.append({\"role\": \"user\", \"content\": gpt_messages[-1]})\n",
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" messages.append({\"role\": \"user\", \"content\": ollama_messages[-1]})\n",
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" \n",
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" response = 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 response.content[0].text.strip()\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": "acedf2fb-8b20-49be-9a80-24fb3896e2ea",
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"metadata": {},
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"outputs": [],
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"source": [
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"print(f\"GPT:\\n{gpt_messages[0]}\\n\")\n",
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"print(f\"Ollama:\\n{ollama_messages[0]}\\n\")\n",
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"print(f\"Claude:\\n{claude_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: \\n{gpt_next}\\n\")\n",
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" gpt_messages.append(gpt_next)\n",
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"\n",
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" ollama_next = call_ollama()\n",
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" print(f\"Ollama: \\n{ollama_next}\\n\")\n",
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" ollama_messages.append(ollama_next)\n",
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" \n",
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" claude_next = call_claude()\n",
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" print(f\"Claude: \\n{claude_next}\\n\")\n",
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" claude_messages.append(claude_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": "a078943b-7a34-4697-b1f6-16f4b0e7aed6",
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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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