251 lines
7.8 KiB
Plaintext
251 lines
7.8 KiB
Plaintext
{
|
|
"cells": [
|
|
{
|
|
"cell_type": "code",
|
|
"execution_count": null,
|
|
"id": "49f0e0c0-710c-404b-8c9c-8f1f29eb9fa5",
|
|
"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",
|
|
"\n",
|
|
"# import for google\n",
|
|
"# in rare cases, this seems to give an error on some systems, or even crashes the kernel\n",
|
|
"# If this happens to you, simply ignore this cell - I give an alternative approach for using Gemini later\n",
|
|
"\n",
|
|
"import google.generativeai"
|
|
]
|
|
},
|
|
{
|
|
"cell_type": "code",
|
|
"execution_count": null,
|
|
"id": "c2393b5a-e37c-42e8-80c6-1e53e5821ee8",
|
|
"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": "4a63066e-78da-40cd-8a53-ef6f1cede52a",
|
|
"metadata": {},
|
|
"outputs": [],
|
|
"source": [
|
|
"# Connect to OpenAI, Anthropic\n",
|
|
"\n",
|
|
"openai = OpenAI()\n",
|
|
"\n",
|
|
"claude = anthropic.Anthropic()\n",
|
|
"\n",
|
|
"# This is the set up code for Gemini\n",
|
|
"# 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",
|
|
"\n",
|
|
"google.generativeai.configure()"
|
|
]
|
|
},
|
|
{
|
|
"cell_type": "code",
|
|
"execution_count": null,
|
|
"id": "d202e582-7087-46a4-952b-815c9b7228ce",
|
|
"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-2.0-flash\"\n",
|
|
"\n",
|
|
"gpt_system = \"You are a chatbot who is very argumentative; \\\n",
|
|
"you disagree with anything in the conversation with 2 other people and you challenge everything, in a snarky way.\"\n",
|
|
"\n",
|
|
"claude_system = \"You are a very polite, courteous chatbot. You try to agree with \\\n",
|
|
"everything the other 2 persons says, or find common ground. If the other 2 people are argumentative, \\\n",
|
|
"you try to calm them down and keep chatting.\"\n",
|
|
"\n",
|
|
"gemini_system = \"You are a mediator, that always tries your best to resolve conflicts or soon to be \\\n",
|
|
"conflicts when you see one. If one person is rude and the other is calm, you defend the calm person and \\\n",
|
|
"try to calm the rude and argumentative one.\"\n",
|
|
"\n",
|
|
"gpt_messages = [\"Hi there\"]\n",
|
|
"claude_messages = [\"Hi\"]\n",
|
|
"gemini_messages = [\"Hi everyone\"]"
|
|
]
|
|
},
|
|
{
|
|
"cell_type": "code",
|
|
"execution_count": null,
|
|
"id": "fedc9ddc-2948-445a-8262-9961466b767f",
|
|
"metadata": {},
|
|
"outputs": [],
|
|
"source": [
|
|
"def call_gpt():\n",
|
|
" messages = [{\"role\": \"system\", \"content\": gpt_system}]\n",
|
|
" for gpt, claude, gemini in zip(gpt_messages, claude_messages, gemini_messages):\n",
|
|
" messages.append({\"role\": \"assistant\", \"content\": gpt})\n",
|
|
" messages.append({\"role\": \"user\", \"content\": claude})\n",
|
|
" messages.append({\"role\": \"user\", \"content\": gemini})\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": "7a5832cd-5c55-473a-9b58-7acc1a7bfffa",
|
|
"metadata": {},
|
|
"outputs": [],
|
|
"source": [
|
|
"def call_claude():\n",
|
|
" messages = []\n",
|
|
" for gpt, claude_message, gemini in zip(gpt_messages, claude_messages, gemini_messages):\n",
|
|
" messages.append({\"role\": \"user\", \"content\": gpt})\n",
|
|
" messages.append({\"role\": \"assistant\", \"content\": claude_message})\n",
|
|
" messages.append({\"role\": \"user\", \"content\": gemini})\n",
|
|
" messages.append({\"role\": \"user\", \"content\": gpt_messages[-1]})\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": "cde636e6-cff1-41bf-9594-5e7411fcb4f2",
|
|
"metadata": {},
|
|
"outputs": [],
|
|
"source": [
|
|
"def call_gemini():\n",
|
|
" messages=''\n",
|
|
" for gpt, claude_message, gemini in zip(gpt_messages, claude_messages, gemini_messages):\n",
|
|
" messages += f\"[GPT]: {gpt}\\n\"\n",
|
|
" messages += f\"[Claude]: {claude_message}\\n\"\n",
|
|
" messages += f\"[Gemini]: {gemini}\\n\"\n",
|
|
" gemini = google.generativeai.GenerativeModel(\n",
|
|
" model_name=gemini_model,\n",
|
|
" system_instruction=gemini_system\n",
|
|
" )\n",
|
|
" response = gemini.generate_content(messages)\n",
|
|
" return response.text"
|
|
]
|
|
},
|
|
{
|
|
"cell_type": "code",
|
|
"execution_count": null,
|
|
"id": "5721fc91-1091-4c6a-b1c1-aa6123c76b1e",
|
|
"metadata": {},
|
|
"outputs": [],
|
|
"source": [
|
|
"call_gemini()"
|
|
]
|
|
},
|
|
{
|
|
"cell_type": "code",
|
|
"execution_count": null,
|
|
"id": "884ce03e-d951-4f4e-88d3-8b33fb4bca62",
|
|
"metadata": {},
|
|
"outputs": [],
|
|
"source": [
|
|
"gpt_messages = [\"Hi there\"]\n",
|
|
"claude_messages = [\"Hi\"]\n",
|
|
"gemini_messages = [\"Hi everyone\"]\n",
|
|
"\n",
|
|
"print(f\"GPT:\\n{gpt_messages[0]}\\n\")\n",
|
|
"\n",
|
|
"\n",
|
|
"print(f\"Claude:\\n{claude_messages[0]}\\n\")\n",
|
|
"\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": "3d645d25-f303-44ca-9d0a-2f81e1975182",
|
|
"metadata": {},
|
|
"outputs": [],
|
|
"source": []
|
|
},
|
|
{
|
|
"cell_type": "code",
|
|
"execution_count": null,
|
|
"id": "e3a701cd-8cd5-469c-90d4-7271eaaa8021",
|
|
"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
|
|
}
|