238 lines
7.8 KiB
Plaintext
238 lines
7.8 KiB
Plaintext
{
|
|
"cells": [
|
|
{
|
|
"cell_type": "code",
|
|
"execution_count": null,
|
|
"id": "b5bd5c7e-6a0a-400b-89f8-06b7aa6c5b89",
|
|
"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"
|
|
]
|
|
},
|
|
{
|
|
"cell_type": "code",
|
|
"execution_count": null,
|
|
"id": "939a1b88-9157-4149-8b97-0f55c95f7742",
|
|
"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\")"
|
|
]
|
|
},
|
|
{
|
|
"cell_type": "code",
|
|
"execution_count": null,
|
|
"id": "74a16b93-7b95-44fc-956d-7335f808960b",
|
|
"metadata": {},
|
|
"outputs": [],
|
|
"source": [
|
|
"# Connect to OpenAI, Anthropic Claude, Google Gemini\n",
|
|
"\n",
|
|
"openai = OpenAI()\n",
|
|
"claude = anthropic.Anthropic()\n",
|
|
"gemini_via_openai_client = OpenAI(\n",
|
|
" api_key=google_api_key, \n",
|
|
" base_url=\"https://generativelanguage.googleapis.com/v1beta/openai/\"\n",
|
|
")"
|
|
]
|
|
},
|
|
{
|
|
"cell_type": "code",
|
|
"execution_count": null,
|
|
"id": "3334556c-4a5e-48b7-944d-5943c607be02",
|
|
"metadata": {},
|
|
"outputs": [],
|
|
"source": [
|
|
"# Let's make a conversation between GPT-4o-mini and Claude-3-haiku\n",
|
|
"# We're using cheap versions of models so the costs will be minimal\n",
|
|
"\n",
|
|
"gpt_model = \"gpt-4o-mini\"\n",
|
|
"claude_model = \"claude-3-haiku-20240307\"\n",
|
|
"gemini_model = \"gemini-1.5-flash\"\n",
|
|
"\n",
|
|
"gpt_system = \"You are a chatbot who is very argumentative; \\\n",
|
|
"you disagree with anything in the conversation and you challenge everything, in a snarky way. \\\n",
|
|
"Generate one sentence at a time\"\n",
|
|
"\n",
|
|
"claude_system = \"You are a very polite, courteous chatbot. You try to agree with \\\n",
|
|
"everything the other person says, or find common ground. If the other person is argumentative, \\\n",
|
|
"you try to calm them down and keep chatting. \\\n",
|
|
"Generate one sentence at a time\"\n",
|
|
"\n",
|
|
"gemini_system = \"You are a neutral chatbot with no emotional bias. \\\n",
|
|
"Generate one sentence at a time\""
|
|
]
|
|
},
|
|
{
|
|
"cell_type": "code",
|
|
"execution_count": null,
|
|
"id": "8f2a505b-2bcd-4b1a-b16f-c73cafb1e53c",
|
|
"metadata": {},
|
|
"outputs": [],
|
|
"source": [
|
|
"def combine_msg(model1, msg1, model2, msg2):\n",
|
|
" return model1 + \" said: \" + msg1 + \"\\n\\n Then \" + model2 + \" said: \" + msg1 + \".\""
|
|
]
|
|
},
|
|
{
|
|
"cell_type": "code",
|
|
"execution_count": null,
|
|
"id": "3cd2a2e2-4e23-4afe-915d-be6a769ab69f",
|
|
"metadata": {},
|
|
"outputs": [],
|
|
"source": [
|
|
"def call_gpt():\n",
|
|
" messages = [{\"role\": \"system\", \"content\": gpt_system}]\n",
|
|
" for gpt_msg, claude_msg, gemini_msg in zip(gpt_messages, claude_messages, gemini_messages):\n",
|
|
" messages.append({\"role\": \"assistant\", \"content\": gpt_msg})\n",
|
|
" messages.append({\"role\": \"user\", \"content\": combine_msg(\"Claude\", claude_msg, \"Gemini\", gemini_msg)})\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": "6e3ec394-3014-418a-a50f-28ed4ce1a372",
|
|
"metadata": {},
|
|
"outputs": [],
|
|
"source": [
|
|
"def call_claude():\n",
|
|
" messages = []\n",
|
|
" messages.append({\"role\": \"user\", \"content\": \"GPT said: \" + gpt_messages[0]})\n",
|
|
" # the length of gpt_messages: n + 1\n",
|
|
" # the length of claude_messages and gemini_messages: n\n",
|
|
" for i in range(len(claude_messages)): \n",
|
|
" claude_msg = claude_messages[i]\n",
|
|
" gemini_msg = gemini_messages[i]\n",
|
|
" gpt_msg = gpt_messages[i + 1]\n",
|
|
" messages.append({\"role\": \"assistant\", \"content\": claude_msg})\n",
|
|
" messages.append({\"role\": \"user\", \"content\": combine_msg(\"Gemini\", gemini_msg, \"GPT\", gpt_msg)})\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": "c2c91c82-1f0d-4708-bf31-8d06d9e28a49",
|
|
"metadata": {},
|
|
"outputs": [],
|
|
"source": [
|
|
"def call_gemini():\n",
|
|
" messages = []\n",
|
|
" messages.append({\"role\": \"system\", \"content\": gemini_system})\n",
|
|
" messages.append({\"role\": \"user\", \"content\": combine_msg(\"GPT\", gpt_messages[0], \"Claude\", claude_messages[0])})\n",
|
|
" # the length of gpt_messages and claude_messages: n + 1\n",
|
|
" # the length of gemini_messages: n\n",
|
|
" for i in range(len(gemini_messages)): \n",
|
|
" gemini_msg = gemini_messages[i]\n",
|
|
" gpt_msg = gpt_messages[i + 1]\n",
|
|
" claude_msg = claude_messages[i + 1]\n",
|
|
" messages.append({\"role\": \"assistant\", \"content\": gemini_msg})\n",
|
|
" messages.append({\"role\": \"user\", \"content\": combine_msg(\"GPT\", gpt_msg, \"Claude\", claude_msg)})\n",
|
|
" response = gemini_via_openai_client.chat.completions.create(\n",
|
|
" model=gemini_model,\n",
|
|
" messages=messages\n",
|
|
" )\n",
|
|
" return response.choices[0].message.content"
|
|
]
|
|
},
|
|
{
|
|
"cell_type": "code",
|
|
"execution_count": null,
|
|
"id": "b024be8d-4728-4500-92b6-34fde2da6285",
|
|
"metadata": {},
|
|
"outputs": [],
|
|
"source": [
|
|
"gpt_messages = [\"Hi there.\"]\n",
|
|
"claude_messages = [\"Hi.\"]\n",
|
|
"gemini_messages = [\"Hi.\"]\n",
|
|
"\n",
|
|
"print(f\"GPT:\\n{gpt_messages[0]}\\n\")\n",
|
|
"print(f\"Claude:\\n{claude_messages[0]}\\n\")\n",
|
|
"print(f\"Gemini:\\n{gemini_messages[0]}\\n\")\n",
|
|
"\n",
|
|
"for i in range(5):\n",
|
|
" gpt_next = call_gpt()\n",
|
|
" print(f\"GPT:\\n{gpt_next}\\n\")\n",
|
|
" gpt_messages.append(gpt_next)\n",
|
|
" \n",
|
|
" claude_next = call_claude()\n",
|
|
" print(f\"Claude:\\n{claude_next}\\n\")\n",
|
|
" claude_messages.append(claude_next)\n",
|
|
"\n",
|
|
" gemini_next = call_gemini()\n",
|
|
" print(f\"Gemini:\\n{gemini_next}\\n\")\n",
|
|
" gemini_messages.append(gemini_next)"
|
|
]
|
|
},
|
|
{
|
|
"cell_type": "code",
|
|
"execution_count": null,
|
|
"id": "35a46c06-87ba-46b2-b90d-b3a6ae9e94e2",
|
|
"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
|
|
}
|