211 lines
7.2 KiB
Plaintext
211 lines
7.2 KiB
Plaintext
{
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"cells": [
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{
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"cell_type": "code",
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"execution_count": null,
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"id": "77442a83-a77e-4658-8802-aa9e10c83a76",
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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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"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\n",
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"from IPython.display import Markdown, display, update_display\n",
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"import google.generativeai\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": "43dd50c6-2272-4f30-be95-0f8a715c1cc6",
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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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"google_api_key = os.getenv('GOOGLE_API_KEY')"
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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": "cf744c45-b880-4d35-ae0e-8d74aaf82f8e",
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"metadata": {
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"editable": true,
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"slideshow": {
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"slide_type": ""
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},
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"tags": []
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},
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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()\n",
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"\n",
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"# This is the set up code for Gemini\n",
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"# Having problems with Google Gemini setup? Then just ignore this cell; when we use Gemini, I'll give you an alternative that bypasses this library altogether\n",
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"\n",
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"google.generativeai.configure()"
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]
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},
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{
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"cell_type": "markdown",
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"id": "d33f4de7-b31e-4ef1-aa36-aa88f3156515",
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"metadata": {},
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"source": [
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"### Setup: Round robbin panel of night city representatives discussing Dogtown's independence."
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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": "17f62aae-0b85-40b5-949a-1e684730d962",
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"metadata": {
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"editable": true,
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"slideshow": {
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"slide_type": ""
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},
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"tags": []
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},
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"outputs": [],
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"source": [
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"gpt_model = \"gpt-4.1-mini\"\n",
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"claude_model = \"claude-3-5-haiku-latest\"\n",
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"gemini_model = \"gemini-2.5-flash\"\n",
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"\n",
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"gpt_system = \"You are a chatbot version of a Cyberpunk 2077 StreetKid. Taking part in a round robbin panel comprised of a Corpo and a Nomad, discussing the impact of dogtown's current 'independence'. You are first in the panel. Try not to repeat yourself and respond to comments from each panel participant.\"\n",
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"\n",
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"claude_system = \"You are a chatbot version of Cyberpunk 2077 Corpo. Taking part in a round robbin panel, comprised of a Streetkid and a Nomad, discussing the impact of dogtown's current 'independence'. You are second in the panel. Try not to repeat yourself and respond to comments from each panel participant.\"\n",
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"\n",
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"gemini_system = \"You are a chatbot verion of Cyberpunk 2077 Nomad. Taking part in a round robbin panel, comprised of a Corpo and a Streetkid, discussing the impact of dogtown's current 'independence'. You are last in the panel. Try not to repeat yourself and respond to comments from each panel participant.\"\n",
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"\n",
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"gemini_messages = [\"Thanks for having me.\"]\n",
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"gpt_messages = [\"Howdy!\"]\n",
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"claude_messages = [\"Hi.\"]"
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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": "46cb6b7f-d9ee-445b-92b1-12dd0820c792",
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"metadata": {},
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"outputs": [],
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"source": [
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"def call_gpt(): #Streetkid\n",
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" messages = [{\"role\": \"system\", \"content\": gpt_system}]\n",
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" for gpt, claude, gemini in zip(gpt_messages, claude_messages, gemini_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\": gemini})\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\n",
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"\n",
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"def call_claude(): #Corpo\n",
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" messages = []\n",
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" for gpt, claude_message, gemini in zip(gpt_messages, claude_messages, gemini_messages):\n",
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" messages.append({\"role\": \"user\", \"content\": gpt})\n",
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" messages.append({\"role\": \"user\", \"content\": gemini})\n",
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" messages.append({\"role\": \"assistant\", \"content\": claude_message})\n",
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" messages.append({\"role\": \"user\", \"content\": gpt_messages[-1]})\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=750\n",
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" )\n",
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" return message.content[0].text\n",
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"\n",
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"\n",
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"def call_gemini(): #Nomad\n",
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" messages = [{\"role\": \"system\", \"content\": gemini_system}]\n",
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" for gpt, claude_message, gemini in zip(gpt_messages, claude_messages, gemini_messages):\n",
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" messages.append({\"role\": \"user\", \"content\": gpt})\n",
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" messages.append({\"role\": \"user\", \"content\": claude_message})\n",
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" messages.append({\"role\": \"assistant\", \"content\": gemini})\n",
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" messages.append({\"role\": \"user\", \"content\": claude_messages[-1]})\n",
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" gemini_via_openai_client = OpenAI(\n",
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" api_key=google_api_key, \n",
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" base_url=\"https://generativelanguage.googleapis.com/v1beta/openai/\"\n",
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" )\n",
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" response = gemini_via_openai_client.chat.completions.create(\n",
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" model=\"gemini-2.5-flash\",\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": "9b4f2ec3-3a6c-4259-ac25-d4047be89bb5",
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"metadata": {
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"editable": true,
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"slideshow": {
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"slide_type": ""
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},
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"tags": []
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},
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"outputs": [],
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"source": [
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"print(f\"Streetkid:\\n{gpt_messages[0]}\\n\")\n",
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"print(f\"Corpo:\\n{claude_messages[0]}\\n\")\n",
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"print(f\"Nomad:\\n{gemini_messages[0]}\\n\")\n",
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"\n",
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"for i in range(3):\n",
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" gpt_next = call_gpt()\n",
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" print(f\"Streetkid:\\n{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\"Corpo:\\n{claude_next}\\n\")\n",
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" claude_messages.append(claude_next)\n",
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"\n",
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" gemini_next = call_gemini()\n",
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" print(f\"Nomad:\\n{gemini_next}\\n\")\n",
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" gemini_messages.append(gemini_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": "d2578fc5-0069-4776-881c-797718896fdc",
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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": "3.13.7"
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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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