2_lab2.ipynb

{
 "cells": [
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Welcome to the Second Lab - Week 1, Day 3\n",
    "\n",
    "Today we will work with lots of models! This is a way to get comfortable with APIs."
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "<table style=\"margin: 0; text-align: left; width:100%\">\n",
    "    <tr>\n",
    "        <td style=\"width: 150px; height: 150px; vertical-align: middle;\">\n",
    "            <img src=\"../assets/stop.png\" width=\"150\" height=\"150\" style=\"display: block;\" />\n",
    "        </td>\n",
    "        <td>\n",
    "            <h2 style=\"color:#ff7800;\">Important point - please read</h2>\n",
    "            <span style=\"color:#ff7800;\">The way I collaborate with you may be different to other courses you've taken. I prefer not to type code while you watch. Rather, I execute Jupyter Labs, like this, and give you an intuition for what's going on. My suggestion is that you carefully execute this yourself, <b>after</b> watching the lecture. Add print statements to understand what's going on, and then come up with your own variations.<br/><br/>If you have time, I'd love it if you submit a PR for changes in the community_contributions folder - instructions in the resources. Also, if you have a Github account, use this to showcase your variations. Not only is this essential practice, but it demonstrates your skills to others, including perhaps future clients or employers...\n",
    "            </span>\n",
    "        </td>\n",
    "    </tr>\n",
    "</table>"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "metadata": {},
   "outputs": [],
   "source": [
    "# Start with imports - ask ChatGPT to explain any package that you don't know\n",
    "\n",
    "import os\n",
    "import json\n",
    "from dotenv import load_dotenv\n",
    "from openai import OpenAI\n",
    "from anthropic import Anthropic\n",
    "from IPython.display import Markdown, display\n",
    "from google import genai"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "True"
      ]
     },
     "execution_count": 4,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# Always remember to do this!\n",
    "load_dotenv(override=True)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "OpenAI API Key not set\n",
      "Anthropic API Key not set (and this is optional)\n",
      "Google API Key exists and begins AI\n",
      "DeepSeek API Key not set (and this is optional)\n",
      "Groq API Key not set (and this is optional)\n"
     ]
    }
   ],
   "source": [
    "# Print the key prefixes to help with any debugging\n",
    "\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",
    "deepseek_api_key = os.getenv('DEEPSEEK_API_KEY')\n",
    "groq_api_key = os.getenv('GROQ_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 (and this is optional)\")\n",
    "\n",
    "if google_api_key:\n",
    "    print(f\"Google API Key exists and begins {google_api_key[:2]}\")\n",
    "else:\n",
    "    print(\"Google API Key not set (and this is optional)\")\n",
    "\n",
    "if deepseek_api_key:\n",
    "    print(f\"DeepSeek API Key exists and begins {deepseek_api_key[:3]}\")\n",
    "else:\n",
    "    print(\"DeepSeek API Key not set (and this is optional)\")\n",
    "\n",
    "if groq_api_key:\n",
    "    print(f\"Groq API Key exists and begins {groq_api_key[:4]}\")\n",
    "else:\n",
    "    print(\"Groq API Key not set (and this is optional)\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "metadata": {},
   "outputs": [],
   "source": [
    "request = \"Please come up with a challenging, nuanced question that I can ask a number of LLMs to evaluate their intelligence. \"\n",
    "request += \"Answer only with the question, no explanation.\"\n",
    "messages = [{\"role\": \"user\", \"content\": request}]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "[{'role': 'user',\n",
       "  'content': 'Please come up with a challenging, nuanced question that I can ask a number of LLMs to evaluate their intelligence. Answer only with the question, no explanation.'}]"
      ]
     },
     "execution_count": 7,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "messages"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "metadata": {},
   "outputs": [
    {
     "ename": "OpenAIError",
     "evalue": "The api_key client option must be set either by passing api_key to the client or by setting the OPENAI_API_KEY environment variable",
     "output_type": "error",
     "traceback": [
      "\u001b[31m---------------------------------------------------------------------------\u001b[39m",
      "\u001b[31mOpenAIError\u001b[39m                               Traceback (most recent call last)",
      "\u001b[36mCell\u001b[39m\u001b[36m \u001b[39m\u001b[32mIn[8]\u001b[39m\u001b[32m, line 1\u001b[39m\n\u001b[32m----> \u001b[39m\u001b[32m1\u001b[39m openai = \u001b[43mOpenAI\u001b[49m\u001b[43m(\u001b[49m\u001b[43m)\u001b[49m\n\u001b[32m      2\u001b[39m response = openai.chat.completions.create(\n\u001b[32m      3\u001b[39m     model=\u001b[33m\"\u001b[39m\u001b[33mgpt-5-mini\u001b[39m\u001b[33m\"\u001b[39m,\n\u001b[32m      4\u001b[39m     messages=messages,\n\u001b[32m      5\u001b[39m )\n\u001b[32m      6\u001b[39m question = response.choices[\u001b[32m0\u001b[39m].message.content\n",
      "\u001b[36mFile \u001b[39m\u001b[32mg:\\Udemy\\projects\\agents\\.venv\\Lib\\site-packages\\openai\\_client.py:135\u001b[39m, in \u001b[36mOpenAI.__init__\u001b[39m\u001b[34m(self, api_key, organization, project, webhook_secret, base_url, websocket_base_url, timeout, max_retries, default_headers, default_query, http_client, _strict_response_validation)\u001b[39m\n\u001b[32m    133\u001b[39m     api_key = os.environ.get(\u001b[33m\"\u001b[39m\u001b[33mOPENAI_API_KEY\u001b[39m\u001b[33m\"\u001b[39m)\n\u001b[32m    134\u001b[39m \u001b[38;5;28;01mif\u001b[39;00m api_key \u001b[38;5;129;01mis\u001b[39;00m \u001b[38;5;28;01mNone\u001b[39;00m:\n\u001b[32m--> \u001b[39m\u001b[32m135\u001b[39m     \u001b[38;5;28;01mraise\u001b[39;00m OpenAIError(\n\u001b[32m    136\u001b[39m         \u001b[33m\"\u001b[39m\u001b[33mThe api_key client option must be set either by passing api_key to the client or by setting the OPENAI_API_KEY environment variable\u001b[39m\u001b[33m\"\u001b[39m\n\u001b[32m    137\u001b[39m     )\n\u001b[32m    138\u001b[39m \u001b[38;5;28;01mif\u001b[39;00m \u001b[38;5;28mcallable\u001b[39m(api_key):\n\u001b[32m    139\u001b[39m     \u001b[38;5;28mself\u001b[39m.api_key = \u001b[33m\"\u001b[39m\u001b[33m\"\u001b[39m\n",
      "\u001b[31mOpenAIError\u001b[39m: The api_key client option must be set either by passing api_key to the client or by setting the OPENAI_API_KEY environment variable"
     ]
    }
   ],
   "source": [
    "openai = OpenAI()\n",
    "response = openai.chat.completions.create(\n",
    "    model=\"gpt-5-mini\",\n",
    "    messages=messages,\n",
    ")\n",
    "question = response.choices[0].message.content\n",
    "print(question)\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "ChatCompletion(id='W6g3ad_7CL70juMP8qLXmAU', choices=[Choice(finish_reason='stop', index=0, logprobs=None, message=ChatCompletionMessage(content='Design a societal framework where perfect predictive accuracy of individual actions is possible but universally known. Detail three *non-obvious* challenges this knowledge would create for human flourishing, and propose a corresponding *non-obvious* societal mechanism to mitigate each challenge, justifying your choices.', refusal=None, role='assistant', annotations=None, audio=None, function_call=None, tool_calls=None))], created=1765255259, model='gemini-2.5-flash', object='chat.completion', service_tier=None, system_fingerprint=None, usage=CompletionUsage(completion_tokens=55, prompt_tokens=33, total_tokens=1549, completion_tokens_details=None, prompt_tokens_details=None))\n",
      "Design a societal framework where perfect predictive accuracy of individual actions is possible but universally known. Detail three *non-obvious* challenges this knowledge would create for human flourishing, and propose a corresponding *non-obvious* societal mechanism to mitigate each challenge, justifying your choices.\n"
     ]
    }
   ],
   "source": [
    "client = OpenAI(\n",
    "    api_key = os.getenv(\"GOOGLE_API_KEY\"),\n",
    "    base_url = \"https://generativelanguage.googleapis.com/v1beta\"\n",
    ")\n",
    "\n",
    "response = client.chat.completions.create(\n",
    "    model=\"gemini-2.5-flash\",\n",
    "    messages=messages\n",
    ")\n",
    "\n",
    "print(response)\n",
    "question = response.choices[0].message.content\n",
    "print(question)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "metadata": {},
   "outputs": [],
   "source": [
    "competitors = []\n",
    "answers = []\n",
    "messages = [{\"role\": \"user\", \"content\": question}]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 14,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "[{'role': 'user',\n",
       "  'content': 'Given the limitations of current computational models in truly understanding subjective human experience, how would you reconcile the inherent conflict between striving to accurately predict and generate human-like text while simultaneously acknowledging the impossibility of replicating the qualitative nature of consciousness?\\n'}]"
      ]
     },
     "execution_count": 14,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "messages"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Note - update since the videos\n",
    "\n",
    "I've updated the model names to use the latest models below, like GPT 5 and Claude Sonnet 4.5. It's worth noting that these models can be quite slow - like 1-2 minutes - but they do a great job! Feel free to switch them for faster models if you'd prefer, like the ones I use in the video."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "# The API we know well\n",
    "# I've updated this with the latest model, but it can take some time because it likes to think!\n",
    "# Replace the model with gpt-4.1-mini if you'd prefer not to wait 1-2 mins\n",
    "\n",
    "model_name = \"gpt-5-nano\"\n",
    "\n",
    "response = openai.chat.completions.create(model=model_name, messages=messages)\n",
    "answer = response.choices[0].message.content\n",
    "\n",
    "display(Markdown(answer))\n",
    "competitors.append(model_name)\n",
    "answers.append(answer)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "# Anthropic has a slightly different API, and Max Tokens is required\n",
    "\n",
    "model_name = \"claude-sonnet-4-5\"\n",
    "\n",
    "claude = Anthropic()\n",
    "response = claude.messages.create(model=model_name, messages=messages, max_tokens=1000)\n",
    "answer = response.content[0].text\n",
    "\n",
    "display(Markdown(answer))\n",
    "competitors.append(model_name)\n",
    "answers.append(answer)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "gemini = OpenAI(api_key=google_api_key, base_url=\"https://generativelanguage.googleapis.com/v1beta/openai/\")\n",
    "model_name = \"gemini-2.5-flash\"\n",
    "\n",
    "response = gemini.chat.completions.create(model=model_name, messages=messages)\n",
    "answer = response.choices[0].message.content\n",
    "\n",
    "display(Markdown(answer))\n",
    "competitors.append(model_name)\n",
    "answers.append(answer)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "deepseek = OpenAI(api_key=deepseek_api_key, base_url=\"https://api.deepseek.com/v1\")\n",
    "model_name = \"deepseek-chat\"\n",
    "\n",
    "response = deepseek.chat.completions.create(model=model_name, messages=messages)\n",
    "answer = response.choices[0].message.content\n",
    "\n",
    "display(Markdown(answer))       \n",
    "competitors.append(model_name)\n",
    "answers.append(answer)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "# Updated with the latest Open Source model from OpenAI\n",
    "\n",
    "groq = OpenAI(api_key=groq_api_key, base_url=\"https://api.groq.com/openai/v1\")\n",
    "model_name = \"openai/gpt-oss-120b\"\n",
    "\n",
    "response = groq.chat.completions.create(model=model_name, messages=messages)\n",
    "answer = response.choices[0].message.content\n",
    "\n",
    "display(Markdown(answer))\n",
    "competitors.append(model_name)\n",
    "answers.append(answer)\n"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## For the next cell, we will use Ollama\n",
    "\n",
    "Ollama runs a local web service that gives an OpenAI compatible endpoint,  \n",
    "and runs models locally using high performance C++ code.\n",
    "\n",
    "If you don't have Ollama, install it here by visiting https://ollama.com then pressing Download and following the instructions.\n",
    "\n",
    "After it's installed, you should be able to visit here: http://localhost:11434 and see the message \"Ollama is running\"\n",
    "\n",
    "You might need to restart Cursor (and maybe reboot). Then open a Terminal (control+\\`) and run `ollama serve`\n",
    "\n",
    "Useful Ollama commands (run these in the terminal, or with an exclamation mark in this notebook):\n",
    "\n",
    "`ollama pull <model_name>` downloads a model locally  \n",
    "`ollama ls` lists all the models you've downloaded  \n",
    "`ollama rm <model_name>` deletes the specified model from your downloads"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "<table style=\"margin: 0; text-align: left; width:100%\">\n",
    "    <tr>\n",
    "        <td style=\"width: 150px; height: 150px; vertical-align: middle;\">\n",
    "            <img src=\"../assets/stop.png\" width=\"150\" height=\"150\" style=\"display: block;\" />\n",
    "        </td>\n",
    "        <td>\n",
    "            <h2 style=\"color:#ff7800;\">Super important - ignore me at your peril!</h2>\n",
    "            <span style=\"color:#ff7800;\">The model called <b>llama3.3</b> is FAR too large for home computers - it's not intended for personal computing and will consume all your resources! Stick with the nicely sized <b>llama3.2</b> or <b>llama3.2:1b</b> and if you want larger, try llama3.1 or smaller variants of Qwen, Gemma, Phi or DeepSeek. See the <A href=\"https://ollama.com/models\">the Ollama models page</a> for a full list of models and sizes.\n",
    "            </span>\n",
    "        </td>\n",
    "    </tr>\n",
    "</table>"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 1,
   "metadata": {},
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "'ollama' is not recognized as an internal or external command,\n",
      "operable program or batch file.\n"
     ]
    }
   ],
   "source": [
    "!ollama pull llama3.2"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 13,
   "metadata": {},
   "outputs": [
    {
     "ename": "APIConnectionError",
     "evalue": "Connection error.",
     "output_type": "error",
     "traceback": [
      "\u001b[31m---------------------------------------------------------------------------\u001b[39m",
      "\u001b[31mConnectError\u001b[39m                              Traceback (most recent call last)",
      "\u001b[36mFile \u001b[39m\u001b[32mg:\\Udemy\\projects\\agents\\.venv\\Lib\\site-packages\\httpx\\_transports\\default.py:101\u001b[39m, in \u001b[36mmap_httpcore_exceptions\u001b[39m\u001b[34m()\u001b[39m\n\u001b[32m    100\u001b[39m \u001b[38;5;28;01mtry\u001b[39;00m:\n\u001b[32m--> \u001b[39m\u001b[32m101\u001b[39m     \u001b[38;5;28;01myield\u001b[39;00m\n\u001b[32m    102\u001b[39m \u001b[38;5;28;01mexcept\u001b[39;00m \u001b[38;5;167;01mException\u001b[39;00m \u001b[38;5;28;01mas\u001b[39;00m exc:\n",
      "\u001b[36mFile \u001b[39m\u001b[32mg:\\Udemy\\projects\\agents\\.venv\\Lib\\site-packages\\httpx\\_transports\\default.py:250\u001b[39m, in \u001b[36mHTTPTransport.handle_request\u001b[39m\u001b[34m(self, request)\u001b[39m\n\u001b[32m    249\u001b[39m \u001b[38;5;28;01mwith\u001b[39;00m map_httpcore_exceptions():\n\u001b[32m--> \u001b[39m\u001b[32m250\u001b[39m     resp = \u001b[38;5;28;43mself\u001b[39;49m\u001b[43m.\u001b[49m\u001b[43m_pool\u001b[49m\u001b[43m.\u001b[49m\u001b[43mhandle_request\u001b[49m\u001b[43m(\u001b[49m\u001b[43mreq\u001b[49m\u001b[43m)\u001b[49m\n\u001b[32m    252\u001b[39m \u001b[38;5;28;01massert\u001b[39;00m \u001b[38;5;28misinstance\u001b[39m(resp.stream, typing.Iterable)\n",
      "\u001b[36mFile \u001b[39m\u001b[32mg:\\Udemy\\projects\\agents\\.venv\\Lib\\site-packages\\httpcore\\_sync\\connection_pool.py:256\u001b[39m, in \u001b[36mConnectionPool.handle_request\u001b[39m\u001b[34m(self, request)\u001b[39m\n\u001b[32m    255\u001b[39m     \u001b[38;5;28mself\u001b[39m._close_connections(closing)\n\u001b[32m--> \u001b[39m\u001b[32m256\u001b[39m     \u001b[38;5;28;01mraise\u001b[39;00m exc \u001b[38;5;28;01mfrom\u001b[39;00m\u001b[38;5;250m \u001b[39m\u001b[38;5;28;01mNone\u001b[39;00m\n\u001b[32m    258\u001b[39m \u001b[38;5;66;03m# Return the response. Note that in this case we still have to manage\u001b[39;00m\n\u001b[32m    259\u001b[39m \u001b[38;5;66;03m# the point at which the response is closed.\u001b[39;00m\n",
      "\u001b[36mFile \u001b[39m\u001b[32mg:\\Udemy\\projects\\agents\\.venv\\Lib\\site-packages\\httpcore\\_sync\\connection_pool.py:236\u001b[39m, in \u001b[36mConnectionPool.handle_request\u001b[39m\u001b[34m(self, request)\u001b[39m\n\u001b[32m    234\u001b[39m \u001b[38;5;28;01mtry\u001b[39;00m:\n\u001b[32m    235\u001b[39m     \u001b[38;5;66;03m# Send the request on the assigned connection.\u001b[39;00m\n\u001b[32m--> \u001b[39m\u001b[32m236\u001b[39m     response = \u001b[43mconnection\u001b[49m\u001b[43m.\u001b[49m\u001b[43mhandle_request\u001b[49m\u001b[43m(\u001b[49m\n\u001b[32m    237\u001b[39m \u001b[43m        \u001b[49m\u001b[43mpool_request\u001b[49m\u001b[43m.\u001b[49m\u001b[43mrequest\u001b[49m\n\u001b[32m    238\u001b[39m \u001b[43m    \u001b[49m\u001b[43m)\u001b[49m\n\u001b[32m    239\u001b[39m \u001b[38;5;28;01mexcept\u001b[39;00m ConnectionNotAvailable:\n\u001b[32m    240\u001b[39m     \u001b[38;5;66;03m# In some cases a connection may initially be available to\u001b[39;00m\n\u001b[32m    241\u001b[39m     \u001b[38;5;66;03m# handle a request, but then become unavailable.\u001b[39;00m\n\u001b[32m    242\u001b[39m     \u001b[38;5;66;03m#\u001b[39;00m\n\u001b[32m    243\u001b[39m     \u001b[38;5;66;03m# In this case we clear the connection and try again.\u001b[39;00m\n",
      "\u001b[36mFile \u001b[39m\u001b[32mg:\\Udemy\\projects\\agents\\.venv\\Lib\\site-packages\\httpcore\\_sync\\connection.py:101\u001b[39m, in \u001b[36mHTTPConnection.handle_request\u001b[39m\u001b[34m(self, request)\u001b[39m\n\u001b[32m    100\u001b[39m     \u001b[38;5;28mself\u001b[39m._connect_failed = \u001b[38;5;28;01mTrue\u001b[39;00m\n\u001b[32m--> \u001b[39m\u001b[32m101\u001b[39m     \u001b[38;5;28;01mraise\u001b[39;00m exc\n\u001b[32m    103\u001b[39m \u001b[38;5;28;01mreturn\u001b[39;00m \u001b[38;5;28mself\u001b[39m._connection.handle_request(request)\n",
      "\u001b[36mFile \u001b[39m\u001b[32mg:\\Udemy\\projects\\agents\\.venv\\Lib\\site-packages\\httpcore\\_sync\\connection.py:78\u001b[39m, in \u001b[36mHTTPConnection.handle_request\u001b[39m\u001b[34m(self, request)\u001b[39m\n\u001b[32m     77\u001b[39m \u001b[38;5;28;01mif\u001b[39;00m \u001b[38;5;28mself\u001b[39m._connection \u001b[38;5;129;01mis\u001b[39;00m \u001b[38;5;28;01mNone\u001b[39;00m:\n\u001b[32m---> \u001b[39m\u001b[32m78\u001b[39m     stream = \u001b[38;5;28;43mself\u001b[39;49m\u001b[43m.\u001b[49m\u001b[43m_connect\u001b[49m\u001b[43m(\u001b[49m\u001b[43mrequest\u001b[49m\u001b[43m)\u001b[49m\n\u001b[32m     80\u001b[39m     ssl_object = stream.get_extra_info(\u001b[33m\"\u001b[39m\u001b[33mssl_object\u001b[39m\u001b[33m\"\u001b[39m)\n",
      "\u001b[36mFile \u001b[39m\u001b[32mg:\\Udemy\\projects\\agents\\.venv\\Lib\\site-packages\\httpcore\\_sync\\connection.py:124\u001b[39m, in \u001b[36mHTTPConnection._connect\u001b[39m\u001b[34m(self, request)\u001b[39m\n\u001b[32m    123\u001b[39m \u001b[38;5;28;01mwith\u001b[39;00m Trace(\u001b[33m\"\u001b[39m\u001b[33mconnect_tcp\u001b[39m\u001b[33m\"\u001b[39m, logger, request, kwargs) \u001b[38;5;28;01mas\u001b[39;00m trace:\n\u001b[32m--> \u001b[39m\u001b[32m124\u001b[39m     stream = \u001b[38;5;28;43mself\u001b[39;49m\u001b[43m.\u001b[49m\u001b[43m_network_backend\u001b[49m\u001b[43m.\u001b[49m\u001b[43mconnect_tcp\u001b[49m\u001b[43m(\u001b[49m\u001b[43m*\u001b[49m\u001b[43m*\u001b[49m\u001b[43mkwargs\u001b[49m\u001b[43m)\u001b[49m\n\u001b[32m    125\u001b[39m     trace.return_value = stream\n",
      "\u001b[36mFile \u001b[39m\u001b[32mg:\\Udemy\\projects\\agents\\.venv\\Lib\\site-packages\\httpcore\\_backends\\sync.py:207\u001b[39m, in \u001b[36mSyncBackend.connect_tcp\u001b[39m\u001b[34m(self, host, port, timeout, local_address, socket_options)\u001b[39m\n\u001b[32m    202\u001b[39m exc_map: ExceptionMapping = {\n\u001b[32m    203\u001b[39m     socket.timeout: ConnectTimeout,\n\u001b[32m    204\u001b[39m     \u001b[38;5;167;01mOSError\u001b[39;00m: ConnectError,\n\u001b[32m    205\u001b[39m }\n\u001b[32m--> \u001b[39m\u001b[32m207\u001b[39m \u001b[38;5;28;01mwith\u001b[39;00m map_exceptions(exc_map):\n\u001b[32m    208\u001b[39m     sock = socket.create_connection(\n\u001b[32m    209\u001b[39m         address,\n\u001b[32m    210\u001b[39m         timeout,\n\u001b[32m    211\u001b[39m         source_address=source_address,\n\u001b[32m    212\u001b[39m     )\n",
      "\u001b[36mFile \u001b[39m\u001b[32m~\\AppData\\Roaming\\uv\\python\\cpython-3.12.12-windows-x86_64-none\\Lib\\contextlib.py:158\u001b[39m, in \u001b[36m_GeneratorContextManager.__exit__\u001b[39m\u001b[34m(self, typ, value, traceback)\u001b[39m\n\u001b[32m    157\u001b[39m \u001b[38;5;28;01mtry\u001b[39;00m:\n\u001b[32m--> \u001b[39m\u001b[32m158\u001b[39m     \u001b[38;5;28;43mself\u001b[39;49m\u001b[43m.\u001b[49m\u001b[43mgen\u001b[49m\u001b[43m.\u001b[49m\u001b[43mthrow\u001b[49m\u001b[43m(\u001b[49m\u001b[43mvalue\u001b[49m\u001b[43m)\u001b[49m\n\u001b[32m    159\u001b[39m \u001b[38;5;28;01mexcept\u001b[39;00m \u001b[38;5;167;01mStopIteration\u001b[39;00m \u001b[38;5;28;01mas\u001b[39;00m exc:\n\u001b[32m    160\u001b[39m     \u001b[38;5;66;03m# Suppress StopIteration *unless* it's the same exception that\u001b[39;00m\n\u001b[32m    161\u001b[39m     \u001b[38;5;66;03m# was passed to throw().  This prevents a StopIteration\u001b[39;00m\n\u001b[32m    162\u001b[39m     \u001b[38;5;66;03m# raised inside the \"with\" statement from being suppressed.\u001b[39;00m\n",
      "\u001b[36mFile \u001b[39m\u001b[32mg:\\Udemy\\projects\\agents\\.venv\\Lib\\site-packages\\httpcore\\_exceptions.py:14\u001b[39m, in \u001b[36mmap_exceptions\u001b[39m\u001b[34m(map)\u001b[39m\n\u001b[32m     13\u001b[39m     \u001b[38;5;28;01mif\u001b[39;00m \u001b[38;5;28misinstance\u001b[39m(exc, from_exc):\n\u001b[32m---> \u001b[39m\u001b[32m14\u001b[39m         \u001b[38;5;28;01mraise\u001b[39;00m to_exc(exc) \u001b[38;5;28;01mfrom\u001b[39;00m\u001b[38;5;250m \u001b[39m\u001b[34;01mexc\u001b[39;00m\n\u001b[32m     15\u001b[39m \u001b[38;5;28;01mraise\u001b[39;00m\n",
      "\u001b[31mConnectError\u001b[39m: [WinError 10061] No connection could be made because the target machine actively refused it",
      "\nThe above exception was the direct cause of the following exception:\n",
      "\u001b[31mConnectError\u001b[39m                              Traceback (most recent call last)",
      "\u001b[36mFile \u001b[39m\u001b[32mg:\\Udemy\\projects\\agents\\.venv\\Lib\\site-packages\\openai\\_base_client.py:982\u001b[39m, in \u001b[36mSyncAPIClient.request\u001b[39m\u001b[34m(self, cast_to, options, stream, stream_cls)\u001b[39m\n\u001b[32m    981\u001b[39m \u001b[38;5;28;01mtry\u001b[39;00m:\n\u001b[32m--> \u001b[39m\u001b[32m982\u001b[39m     response = \u001b[38;5;28;43mself\u001b[39;49m\u001b[43m.\u001b[49m\u001b[43m_client\u001b[49m\u001b[43m.\u001b[49m\u001b[43msend\u001b[49m\u001b[43m(\u001b[49m\n\u001b[32m    983\u001b[39m \u001b[43m        \u001b[49m\u001b[43mrequest\u001b[49m\u001b[43m,\u001b[49m\n\u001b[32m    984\u001b[39m \u001b[43m        \u001b[49m\u001b[43mstream\u001b[49m\u001b[43m=\u001b[49m\u001b[43mstream\u001b[49m\u001b[43m \u001b[49m\u001b[38;5;129;43;01mor\u001b[39;49;00m\u001b[43m \u001b[49m\u001b[38;5;28;43mself\u001b[39;49m\u001b[43m.\u001b[49m\u001b[43m_should_stream_response_body\u001b[49m\u001b[43m(\u001b[49m\u001b[43mrequest\u001b[49m\u001b[43m=\u001b[49m\u001b[43mrequest\u001b[49m\u001b[43m)\u001b[49m\u001b[43m,\u001b[49m\n\u001b[32m    985\u001b[39m \u001b[43m        \u001b[49m\u001b[43m*\u001b[49m\u001b[43m*\u001b[49m\u001b[43mkwargs\u001b[49m\u001b[43m,\u001b[49m\n\u001b[32m    986\u001b[39m \u001b[43m    \u001b[49m\u001b[43m)\u001b[49m\n\u001b[32m    987\u001b[39m \u001b[38;5;28;01mexcept\u001b[39;00m httpx.TimeoutException \u001b[38;5;28;01mas\u001b[39;00m err:\n",
      "\u001b[36mFile \u001b[39m\u001b[32mg:\\Udemy\\projects\\agents\\.venv\\Lib\\site-packages\\httpx\\_client.py:914\u001b[39m, in \u001b[36mClient.send\u001b[39m\u001b[34m(self, request, stream, auth, follow_redirects)\u001b[39m\n\u001b[32m    912\u001b[39m auth = \u001b[38;5;28mself\u001b[39m._build_request_auth(request, auth)\n\u001b[32m--> \u001b[39m\u001b[32m914\u001b[39m response = \u001b[38;5;28;43mself\u001b[39;49m\u001b[43m.\u001b[49m\u001b[43m_send_handling_auth\u001b[49m\u001b[43m(\u001b[49m\n\u001b[32m    915\u001b[39m \u001b[43m    \u001b[49m\u001b[43mrequest\u001b[49m\u001b[43m,\u001b[49m\n\u001b[32m    916\u001b[39m \u001b[43m    \u001b[49m\u001b[43mauth\u001b[49m\u001b[43m=\u001b[49m\u001b[43mauth\u001b[49m\u001b[43m,\u001b[49m\n\u001b[32m    917\u001b[39m \u001b[43m    \u001b[49m\u001b[43mfollow_redirects\u001b[49m\u001b[43m=\u001b[49m\u001b[43mfollow_redirects\u001b[49m\u001b[43m,\u001b[49m\n\u001b[32m    918\u001b[39m \u001b[43m    \u001b[49m\u001b[43mhistory\u001b[49m\u001b[43m=\u001b[49m\u001b[43m[\u001b[49m\u001b[43m]\u001b[49m\u001b[43m,\u001b[49m\n\u001b[32m    919\u001b[39m \u001b[43m\u001b[49m\u001b[43m)\u001b[49m\n\u001b[32m    920\u001b[39m \u001b[38;5;28;01mtry\u001b[39;00m:\n",
      "\u001b[36mFile \u001b[39m\u001b[32mg:\\Udemy\\projects\\agents\\.venv\\Lib\\site-packages\\httpx\\_client.py:942\u001b[39m, in \u001b[36mClient._send_handling_auth\u001b[39m\u001b[34m(self, request, auth, follow_redirects, history)\u001b[39m\n\u001b[32m    941\u001b[39m \u001b[38;5;28;01mwhile\u001b[39;00m \u001b[38;5;28;01mTrue\u001b[39;00m:\n\u001b[32m--> \u001b[39m\u001b[32m942\u001b[39m     response = \u001b[38;5;28;43mself\u001b[39;49m\u001b[43m.\u001b[49m\u001b[43m_send_handling_redirects\u001b[49m\u001b[43m(\u001b[49m\n\u001b[32m    943\u001b[39m \u001b[43m        \u001b[49m\u001b[43mrequest\u001b[49m\u001b[43m,\u001b[49m\n\u001b[32m    944\u001b[39m \u001b[43m        \u001b[49m\u001b[43mfollow_redirects\u001b[49m\u001b[43m=\u001b[49m\u001b[43mfollow_redirects\u001b[49m\u001b[43m,\u001b[49m\n\u001b[32m    945\u001b[39m \u001b[43m        \u001b[49m\u001b[43mhistory\u001b[49m\u001b[43m=\u001b[49m\u001b[43mhistory\u001b[49m\u001b[43m,\u001b[49m\n\u001b[32m    946\u001b[39m \u001b[43m    \u001b[49m\u001b[43m)\u001b[49m\n\u001b[32m    947\u001b[39m     \u001b[38;5;28;01mtry\u001b[39;00m:\n",
      "\u001b[36mFile \u001b[39m\u001b[32mg:\\Udemy\\projects\\agents\\.venv\\Lib\\site-packages\\httpx\\_client.py:979\u001b[39m, in \u001b[36mClient._send_handling_redirects\u001b[39m\u001b[34m(self, request, follow_redirects, history)\u001b[39m\n\u001b[32m    977\u001b[39m     hook(request)\n\u001b[32m--> \u001b[39m\u001b[32m979\u001b[39m response = \u001b[38;5;28;43mself\u001b[39;49m\u001b[43m.\u001b[49m\u001b[43m_send_single_request\u001b[49m\u001b[43m(\u001b[49m\u001b[43mrequest\u001b[49m\u001b[43m)\u001b[49m\n\u001b[32m    980\u001b[39m \u001b[38;5;28;01mtry\u001b[39;00m:\n",
      "\u001b[36mFile \u001b[39m\u001b[32mg:\\Udemy\\projects\\agents\\.venv\\Lib\\site-packages\\httpx\\_client.py:1014\u001b[39m, in \u001b[36mClient._send_single_request\u001b[39m\u001b[34m(self, request)\u001b[39m\n\u001b[32m   1013\u001b[39m \u001b[38;5;28;01mwith\u001b[39;00m request_context(request=request):\n\u001b[32m-> \u001b[39m\u001b[32m1014\u001b[39m     response = \u001b[43mtransport\u001b[49m\u001b[43m.\u001b[49m\u001b[43mhandle_request\u001b[49m\u001b[43m(\u001b[49m\u001b[43mrequest\u001b[49m\u001b[43m)\u001b[49m\n\u001b[32m   1016\u001b[39m \u001b[38;5;28;01massert\u001b[39;00m \u001b[38;5;28misinstance\u001b[39m(response.stream, SyncByteStream)\n",
      "\u001b[36mFile \u001b[39m\u001b[32mg:\\Udemy\\projects\\agents\\.venv\\Lib\\site-packages\\httpx\\_transports\\default.py:249\u001b[39m, in \u001b[36mHTTPTransport.handle_request\u001b[39m\u001b[34m(self, request)\u001b[39m\n\u001b[32m    237\u001b[39m req = httpcore.Request(\n\u001b[32m    238\u001b[39m     method=request.method,\n\u001b[32m    239\u001b[39m     url=httpcore.URL(\n\u001b[32m   (...)\u001b[39m\u001b[32m    247\u001b[39m     extensions=request.extensions,\n\u001b[32m    248\u001b[39m )\n\u001b[32m--> \u001b[39m\u001b[32m249\u001b[39m \u001b[38;5;28;01mwith\u001b[39;00m map_httpcore_exceptions():\n\u001b[32m    250\u001b[39m     resp = \u001b[38;5;28mself\u001b[39m._pool.handle_request(req)\n",
      "\u001b[36mFile \u001b[39m\u001b[32m~\\AppData\\Roaming\\uv\\python\\cpython-3.12.12-windows-x86_64-none\\Lib\\contextlib.py:158\u001b[39m, in \u001b[36m_GeneratorContextManager.__exit__\u001b[39m\u001b[34m(self, typ, value, traceback)\u001b[39m\n\u001b[32m    157\u001b[39m \u001b[38;5;28;01mtry\u001b[39;00m:\n\u001b[32m--> \u001b[39m\u001b[32m158\u001b[39m     \u001b[38;5;28;43mself\u001b[39;49m\u001b[43m.\u001b[49m\u001b[43mgen\u001b[49m\u001b[43m.\u001b[49m\u001b[43mthrow\u001b[49m\u001b[43m(\u001b[49m\u001b[43mvalue\u001b[49m\u001b[43m)\u001b[49m\n\u001b[32m    159\u001b[39m \u001b[38;5;28;01mexcept\u001b[39;00m \u001b[38;5;167;01mStopIteration\u001b[39;00m \u001b[38;5;28;01mas\u001b[39;00m exc:\n\u001b[32m    160\u001b[39m     \u001b[38;5;66;03m# Suppress StopIteration *unless* it's the same exception that\u001b[39;00m\n\u001b[32m    161\u001b[39m     \u001b[38;5;66;03m# was passed to throw().  This prevents a StopIteration\u001b[39;00m\n\u001b[32m    162\u001b[39m     \u001b[38;5;66;03m# raised inside the \"with\" statement from being suppressed.\u001b[39;00m\n",
      "\u001b[36mFile \u001b[39m\u001b[32mg:\\Udemy\\projects\\agents\\.venv\\Lib\\site-packages\\httpx\\_transports\\default.py:118\u001b[39m, in \u001b[36mmap_httpcore_exceptions\u001b[39m\u001b[34m()\u001b[39m\n\u001b[32m    117\u001b[39m message = \u001b[38;5;28mstr\u001b[39m(exc)\n\u001b[32m--> \u001b[39m\u001b[32m118\u001b[39m \u001b[38;5;28;01mraise\u001b[39;00m mapped_exc(message) \u001b[38;5;28;01mfrom\u001b[39;00m\u001b[38;5;250m \u001b[39m\u001b[34;01mexc\u001b[39;00m\n",
      "\u001b[31mConnectError\u001b[39m: [WinError 10061] No connection could be made because the target machine actively refused it",
      "\nThe above exception was the direct cause of the following exception:\n",
      "\u001b[31mAPIConnectionError\u001b[39m                        Traceback (most recent call last)",
      "\u001b[36mCell\u001b[39m\u001b[36m \u001b[39m\u001b[32mIn[13]\u001b[39m\u001b[32m, line 4\u001b[39m\n\u001b[32m      1\u001b[39m ollama = OpenAI(base_url=\u001b[33m'\u001b[39m\u001b[33mhttp://localhost:11434/v1\u001b[39m\u001b[33m'\u001b[39m, api_key=\u001b[33m'\u001b[39m\u001b[33mollama\u001b[39m\u001b[33m'\u001b[39m)\n\u001b[32m      2\u001b[39m model_name = \u001b[33m\"\u001b[39m\u001b[33mllama3.2\u001b[39m\u001b[33m\"\u001b[39m\n\u001b[32m----> \u001b[39m\u001b[32m4\u001b[39m response = \u001b[43mollama\u001b[49m\u001b[43m.\u001b[49m\u001b[43mchat\u001b[49m\u001b[43m.\u001b[49m\u001b[43mcompletions\u001b[49m\u001b[43m.\u001b[49m\u001b[43mcreate\u001b[49m\u001b[43m(\u001b[49m\u001b[43mmodel\u001b[49m\u001b[43m=\u001b[49m\u001b[43mmodel_name\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[43mmessages\u001b[49m\u001b[43m=\u001b[49m\u001b[43mmessages\u001b[49m\u001b[43m)\u001b[49m\n\u001b[32m      5\u001b[39m answer = response.choices[\u001b[32m0\u001b[39m].message.content\n\u001b[32m      7\u001b[39m display(Markdown(answer))\n",
      "\u001b[36mFile \u001b[39m\u001b[32mg:\\Udemy\\projects\\agents\\.venv\\Lib\\site-packages\\openai\\_utils\\_utils.py:286\u001b[39m, in \u001b[36mrequired_args.<locals>.inner.<locals>.wrapper\u001b[39m\u001b[34m(*args, **kwargs)\u001b[39m\n\u001b[32m    284\u001b[39m             msg = \u001b[33mf\u001b[39m\u001b[33m\"\u001b[39m\u001b[33mMissing required argument: \u001b[39m\u001b[38;5;132;01m{\u001b[39;00mquote(missing[\u001b[32m0\u001b[39m])\u001b[38;5;132;01m}\u001b[39;00m\u001b[33m\"\u001b[39m\n\u001b[32m    285\u001b[39m     \u001b[38;5;28;01mraise\u001b[39;00m \u001b[38;5;167;01mTypeError\u001b[39;00m(msg)\n\u001b[32m--> \u001b[39m\u001b[32m286\u001b[39m \u001b[38;5;28;01mreturn\u001b[39;00m \u001b[43mfunc\u001b[49m\u001b[43m(\u001b[49m\u001b[43m*\u001b[49m\u001b[43margs\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[43m*\u001b[49m\u001b[43m*\u001b[49m\u001b[43mkwargs\u001b[49m\u001b[43m)\u001b[49m\n",
      "\u001b[36mFile \u001b[39m\u001b[32mg:\\Udemy\\projects\\agents\\.venv\\Lib\\site-packages\\openai\\resources\\chat\\completions\\completions.py:1147\u001b[39m, in \u001b[36mCompletions.create\u001b[39m\u001b[34m(self, messages, model, audio, frequency_penalty, function_call, functions, logit_bias, logprobs, max_completion_tokens, max_tokens, metadata, modalities, n, parallel_tool_calls, prediction, presence_penalty, prompt_cache_key, reasoning_effort, response_format, safety_identifier, seed, service_tier, stop, store, stream, stream_options, temperature, tool_choice, tools, top_logprobs, top_p, user, verbosity, web_search_options, extra_headers, extra_query, extra_body, timeout)\u001b[39m\n\u001b[32m   1101\u001b[39m \u001b[38;5;129m@required_args\u001b[39m([\u001b[33m\"\u001b[39m\u001b[33mmessages\u001b[39m\u001b[33m\"\u001b[39m, \u001b[33m\"\u001b[39m\u001b[33mmodel\u001b[39m\u001b[33m\"\u001b[39m], [\u001b[33m\"\u001b[39m\u001b[33mmessages\u001b[39m\u001b[33m\"\u001b[39m, \u001b[33m\"\u001b[39m\u001b[33mmodel\u001b[39m\u001b[33m\"\u001b[39m, \u001b[33m\"\u001b[39m\u001b[33mstream\u001b[39m\u001b[33m\"\u001b[39m])\n\u001b[32m   1102\u001b[39m \u001b[38;5;28;01mdef\u001b[39;00m\u001b[38;5;250m \u001b[39m\u001b[34mcreate\u001b[39m(\n\u001b[32m   1103\u001b[39m     \u001b[38;5;28mself\u001b[39m,\n\u001b[32m   (...)\u001b[39m\u001b[32m   1144\u001b[39m     timeout: \u001b[38;5;28mfloat\u001b[39m | httpx.Timeout | \u001b[38;5;28;01mNone\u001b[39;00m | NotGiven = not_given,\n\u001b[32m   1145\u001b[39m ) -> ChatCompletion | Stream[ChatCompletionChunk]:\n\u001b[32m   1146\u001b[39m     validate_response_format(response_format)\n\u001b[32m-> \u001b[39m\u001b[32m1147\u001b[39m     \u001b[38;5;28;01mreturn\u001b[39;00m \u001b[38;5;28;43mself\u001b[39;49m\u001b[43m.\u001b[49m\u001b[43m_post\u001b[49m\u001b[43m(\u001b[49m\n\u001b[32m   1148\u001b[39m \u001b[43m        \u001b[49m\u001b[33;43m\"\u001b[39;49m\u001b[33;43m/chat/completions\u001b[39;49m\u001b[33;43m\"\u001b[39;49m\u001b[43m,\u001b[49m\n\u001b[32m   1149\u001b[39m \u001b[43m        \u001b[49m\u001b[43mbody\u001b[49m\u001b[43m=\u001b[49m\u001b[43mmaybe_transform\u001b[49m\u001b[43m(\u001b[49m\n\u001b[32m   1150\u001b[39m \u001b[43m            \u001b[49m\u001b[43m{\u001b[49m\n\u001b[32m   1151\u001b[39m \u001b[43m                \u001b[49m\u001b[33;43m\"\u001b[39;49m\u001b[33;43mmessages\u001b[39;49m\u001b[33;43m\"\u001b[39;49m\u001b[43m:\u001b[49m\u001b[43m \u001b[49m\u001b[43mmessages\u001b[49m\u001b[43m,\u001b[49m\n\u001b[32m   1152\u001b[39m \u001b[43m                \u001b[49m\u001b[33;43m\"\u001b[39;49m\u001b[33;43mmodel\u001b[39;49m\u001b[33;43m\"\u001b[39;49m\u001b[43m:\u001b[49m\u001b[43m \u001b[49m\u001b[43mmodel\u001b[49m\u001b[43m,\u001b[49m\n\u001b[32m   1153\u001b[39m \u001b[43m                \u001b[49m\u001b[33;43m\"\u001b[39;49m\u001b[33;43maudio\u001b[39;49m\u001b[33;43m\"\u001b[39;49m\u001b[43m:\u001b[49m\u001b[43m \u001b[49m\u001b[43maudio\u001b[49m\u001b[43m,\u001b[49m\n\u001b[32m   1154\u001b[39m \u001b[43m                \u001b[49m\u001b[33;43m\"\u001b[39;49m\u001b[33;43mfrequency_penalty\u001b[39;49m\u001b[33;43m\"\u001b[39;49m\u001b[43m:\u001b[49m\u001b[43m \u001b[49m\u001b[43mfrequency_penalty\u001b[49m\u001b[43m,\u001b[49m\n\u001b[32m   1155\u001b[39m \u001b[43m                \u001b[49m\u001b[33;43m\"\u001b[39;49m\u001b[33;43mfunction_call\u001b[39;49m\u001b[33;43m\"\u001b[39;49m\u001b[43m:\u001b[49m\u001b[43m \u001b[49m\u001b[43mfunction_call\u001b[49m\u001b[43m,\u001b[49m\n\u001b[32m   1156\u001b[39m \u001b[43m                \u001b[49m\u001b[33;43m\"\u001b[39;49m\u001b[33;43mfunctions\u001b[39;49m\u001b[33;43m\"\u001b[39;49m\u001b[43m:\u001b[49m\u001b[43m \u001b[49m\u001b[43mfunctions\u001b[49m\u001b[43m,\u001b[49m\n\u001b[32m   1157\u001b[39m \u001b[43m                \u001b[49m\u001b[33;43m\"\u001b[39;49m\u001b[33;43mlogit_bias\u001b[39;49m\u001b[33;43m\"\u001b[39;49m\u001b[43m:\u001b[49m\u001b[43m \u001b[49m\u001b[43mlogit_bias\u001b[49m\u001b[43m,\u001b[49m\n\u001b[32m   1158\u001b[39m \u001b[43m                \u001b[49m\u001b[33;43m\"\u001b[39;49m\u001b[33;43mlogprobs\u001b[39;49m\u001b[33;43m\"\u001b[39;49m\u001b[43m:\u001b[49m\u001b[43m \u001b[49m\u001b[43mlogprobs\u001b[49m\u001b[43m,\u001b[49m\n\u001b[32m   1159\u001b[39m \u001b[43m                \u001b[49m\u001b[33;43m\"\u001b[39;49m\u001b[33;43mmax_completion_tokens\u001b[39;49m\u001b[33;43m\"\u001b[39;49m\u001b[43m:\u001b[49m\u001b[43m \u001b[49m\u001b[43mmax_completion_tokens\u001b[49m\u001b[43m,\u001b[49m\n\u001b[32m   1160\u001b[39m \u001b[43m                \u001b[49m\u001b[33;43m\"\u001b[39;49m\u001b[33;43mmax_tokens\u001b[39;49m\u001b[33;43m\"\u001b[39;49m\u001b[43m:\u001b[49m\u001b[43m \u001b[49m\u001b[43mmax_tokens\u001b[49m\u001b[43m,\u001b[49m\n\u001b[32m   1161\u001b[39m \u001b[43m                \u001b[49m\u001b[33;43m\"\u001b[39;49m\u001b[33;43mmetadata\u001b[39;49m\u001b[33;43m\"\u001b[39;49m\u001b[43m:\u001b[49m\u001b[43m \u001b[49m\u001b[43mmetadata\u001b[49m\u001b[43m,\u001b[49m\n\u001b[32m   1162\u001b[39m \u001b[43m                \u001b[49m\u001b[33;43m\"\u001b[39;49m\u001b[33;43mmodalities\u001b[39;49m\u001b[33;43m\"\u001b[39;49m\u001b[43m:\u001b[49m\u001b[43m \u001b[49m\u001b[43mmodalities\u001b[49m\u001b[43m,\u001b[49m\n\u001b[32m   1163\u001b[39m \u001b[43m                \u001b[49m\u001b[33;43m\"\u001b[39;49m\u001b[33;43mn\u001b[39;49m\u001b[33;43m\"\u001b[39;49m\u001b[43m:\u001b[49m\u001b[43m \u001b[49m\u001b[43mn\u001b[49m\u001b[43m,\u001b[49m\n\u001b[32m   1164\u001b[39m \u001b[43m                \u001b[49m\u001b[33;43m\"\u001b[39;49m\u001b[33;43mparallel_tool_calls\u001b[39;49m\u001b[33;43m\"\u001b[39;49m\u001b[43m:\u001b[49m\u001b[43m \u001b[49m\u001b[43mparallel_tool_calls\u001b[49m\u001b[43m,\u001b[49m\n\u001b[32m   1165\u001b[39m \u001b[43m                \u001b[49m\u001b[33;43m\"\u001b[39;49m\u001b[33;43mprediction\u001b[39;49m\u001b[33;43m\"\u001b[39;49m\u001b[43m:\u001b[49m\u001b[43m \u001b[49m\u001b[43mprediction\u001b[49m\u001b[43m,\u001b[49m\n\u001b[32m   1166\u001b[39m \u001b[43m                \u001b[49m\u001b[33;43m\"\u001b[39;49m\u001b[33;43mpresence_penalty\u001b[39;49m\u001b[33;43m\"\u001b[39;49m\u001b[43m:\u001b[49m\u001b[43m \u001b[49m\u001b[43mpresence_penalty\u001b[49m\u001b[43m,\u001b[49m\n\u001b[32m   1167\u001b[39m \u001b[43m                \u001b[49m\u001b[33;43m\"\u001b[39;49m\u001b[33;43mprompt_cache_key\u001b[39;49m\u001b[33;43m\"\u001b[39;49m\u001b[43m:\u001b[49m\u001b[43m \u001b[49m\u001b[43mprompt_cache_key\u001b[49m\u001b[43m,\u001b[49m\n\u001b[32m   1168\u001b[39m \u001b[43m                \u001b[49m\u001b[33;43m\"\u001b[39;49m\u001b[33;43mreasoning_effort\u001b[39;49m\u001b[33;43m\"\u001b[39;49m\u001b[43m:\u001b[49m\u001b[43m \u001b[49m\u001b[43mreasoning_effort\u001b[49m\u001b[43m,\u001b[49m\n\u001b[32m   1169\u001b[39m \u001b[43m                \u001b[49m\u001b[33;43m\"\u001b[39;49m\u001b[33;43mresponse_format\u001b[39;49m\u001b[33;43m\"\u001b[39;49m\u001b[43m:\u001b[49m\u001b[43m \u001b[49m\u001b[43mresponse_format\u001b[49m\u001b[43m,\u001b[49m\n\u001b[32m   1170\u001b[39m \u001b[43m                \u001b[49m\u001b[33;43m\"\u001b[39;49m\u001b[33;43msafety_identifier\u001b[39;49m\u001b[33;43m\"\u001b[39;49m\u001b[43m:\u001b[49m\u001b[43m \u001b[49m\u001b[43msafety_identifier\u001b[49m\u001b[43m,\u001b[49m\n\u001b[32m   1171\u001b[39m \u001b[43m                \u001b[49m\u001b[33;43m\"\u001b[39;49m\u001b[33;43mseed\u001b[39;49m\u001b[33;43m\"\u001b[39;49m\u001b[43m:\u001b[49m\u001b[43m \u001b[49m\u001b[43mseed\u001b[49m\u001b[43m,\u001b[49m\n\u001b[32m   1172\u001b[39m \u001b[43m                \u001b[49m\u001b[33;43m\"\u001b[39;49m\u001b[33;43mservice_tier\u001b[39;49m\u001b[33;43m\"\u001b[39;49m\u001b[43m:\u001b[49m\u001b[43m \u001b[49m\u001b[43mservice_tier\u001b[49m\u001b[43m,\u001b[49m\n\u001b[32m   1173\u001b[39m \u001b[43m                \u001b[49m\u001b[33;43m\"\u001b[39;49m\u001b[33;43mstop\u001b[39;49m\u001b[33;43m\"\u001b[39;49m\u001b[43m:\u001b[49m\u001b[43m \u001b[49m\u001b[43mstop\u001b[49m\u001b[43m,\u001b[49m\n\u001b[32m   1174\u001b[39m \u001b[43m                \u001b[49m\u001b[33;43m\"\u001b[39;49m\u001b[33;43mstore\u001b[39;49m\u001b[33;43m\"\u001b[39;49m\u001b[43m:\u001b[49m\u001b[43m \u001b[49m\u001b[43mstore\u001b[49m\u001b[43m,\u001b[49m\n\u001b[32m   1175\u001b[39m \u001b[43m                \u001b[49m\u001b[33;43m\"\u001b[39;49m\u001b[33;43mstream\u001b[39;49m\u001b[33;43m\"\u001b[39;49m\u001b[43m:\u001b[49m\u001b[43m \u001b[49m\u001b[43mstream\u001b[49m\u001b[43m,\u001b[49m\n\u001b[32m   1176\u001b[39m \u001b[43m                \u001b[49m\u001b[33;43m\"\u001b[39;49m\u001b[33;43mstream_options\u001b[39;49m\u001b[33;43m\"\u001b[39;49m\u001b[43m:\u001b[49m\u001b[43m \u001b[49m\u001b[43mstream_options\u001b[49m\u001b[43m,\u001b[49m\n\u001b[32m   1177\u001b[39m \u001b[43m                \u001b[49m\u001b[33;43m\"\u001b[39;49m\u001b[33;43mtemperature\u001b[39;49m\u001b[33;43m\"\u001b[39;49m\u001b[43m:\u001b[49m\u001b[43m \u001b[49m\u001b[43mtemperature\u001b[49m\u001b[43m,\u001b[49m\n\u001b[32m   1178\u001b[39m \u001b[43m                \u001b[49m\u001b[33;43m\"\u001b[39;49m\u001b[33;43mtool_choice\u001b[39;49m\u001b[33;43m\"\u001b[39;49m\u001b[43m:\u001b[49m\u001b[43m \u001b[49m\u001b[43mtool_choice\u001b[49m\u001b[43m,\u001b[49m\n\u001b[32m   1179\u001b[39m \u001b[43m                \u001b[49m\u001b[33;43m\"\u001b[39;49m\u001b[33;43mtools\u001b[39;49m\u001b[33;43m\"\u001b[39;49m\u001b[43m:\u001b[49m\u001b[43m \u001b[49m\u001b[43mtools\u001b[49m\u001b[43m,\u001b[49m\n\u001b[32m   1180\u001b[39m \u001b[43m                \u001b[49m\u001b[33;43m\"\u001b[39;49m\u001b[33;43mtop_logprobs\u001b[39;49m\u001b[33;43m\"\u001b[39;49m\u001b[43m:\u001b[49m\u001b[43m \u001b[49m\u001b[43mtop_logprobs\u001b[49m\u001b[43m,\u001b[49m\n\u001b[32m   1181\u001b[39m \u001b[43m                \u001b[49m\u001b[33;43m\"\u001b[39;49m\u001b[33;43mtop_p\u001b[39;49m\u001b[33;43m\"\u001b[39;49m\u001b[43m:\u001b[49m\u001b[43m \u001b[49m\u001b[43mtop_p\u001b[49m\u001b[43m,\u001b[49m\n\u001b[32m   1182\u001b[39m \u001b[43m                \u001b[49m\u001b[33;43m\"\u001b[39;49m\u001b[33;43muser\u001b[39;49m\u001b[33;43m\"\u001b[39;49m\u001b[43m:\u001b[49m\u001b[43m \u001b[49m\u001b[43muser\u001b[49m\u001b[43m,\u001b[49m\n\u001b[32m   1183\u001b[39m \u001b[43m                \u001b[49m\u001b[33;43m\"\u001b[39;49m\u001b[33;43mverbosity\u001b[39;49m\u001b[33;43m\"\u001b[39;49m\u001b[43m:\u001b[49m\u001b[43m \u001b[49m\u001b[43mverbosity\u001b[49m\u001b[43m,\u001b[49m\n\u001b[32m   1184\u001b[39m \u001b[43m                \u001b[49m\u001b[33;43m\"\u001b[39;49m\u001b[33;43mweb_search_options\u001b[39;49m\u001b[33;43m\"\u001b[39;49m\u001b[43m:\u001b[49m\u001b[43m \u001b[49m\u001b[43mweb_search_options\u001b[49m\u001b[43m,\u001b[49m\n\u001b[32m   1185\u001b[39m \u001b[43m            \u001b[49m\u001b[43m}\u001b[49m\u001b[43m,\u001b[49m\n\u001b[32m   1186\u001b[39m \u001b[43m            \u001b[49m\u001b[43mcompletion_create_params\u001b[49m\u001b[43m.\u001b[49m\u001b[43mCompletionCreateParamsStreaming\u001b[49m\n\u001b[32m   1187\u001b[39m \u001b[43m            \u001b[49m\u001b[38;5;28;43;01mif\u001b[39;49;00m\u001b[43m \u001b[49m\u001b[43mstream\u001b[49m\n\u001b[32m   1188\u001b[39m \u001b[43m            \u001b[49m\u001b[38;5;28;43;01melse\u001b[39;49;00m\u001b[43m \u001b[49m\u001b[43mcompletion_create_params\u001b[49m\u001b[43m.\u001b[49m\u001b[43mCompletionCreateParamsNonStreaming\u001b[49m\u001b[43m,\u001b[49m\n\u001b[32m   1189\u001b[39m \u001b[43m        \u001b[49m\u001b[43m)\u001b[49m\u001b[43m,\u001b[49m\n\u001b[32m   1190\u001b[39m \u001b[43m        \u001b[49m\u001b[43moptions\u001b[49m\u001b[43m=\u001b[49m\u001b[43mmake_request_options\u001b[49m\u001b[43m(\u001b[49m\n\u001b[32m   1191\u001b[39m \u001b[43m            \u001b[49m\u001b[43mextra_headers\u001b[49m\u001b[43m=\u001b[49m\u001b[43mextra_headers\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[43mextra_query\u001b[49m\u001b[43m=\u001b[49m\u001b[43mextra_query\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[43mextra_body\u001b[49m\u001b[43m=\u001b[49m\u001b[43mextra_body\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[43mtimeout\u001b[49m\u001b[43m=\u001b[49m\u001b[43mtimeout\u001b[49m\n\u001b[32m   1192\u001b[39m \u001b[43m        \u001b[49m\u001b[43m)\u001b[49m\u001b[43m,\u001b[49m\n\u001b[32m   1193\u001b[39m \u001b[43m        \u001b[49m\u001b[43mcast_to\u001b[49m\u001b[43m=\u001b[49m\u001b[43mChatCompletion\u001b[49m\u001b[43m,\u001b[49m\n\u001b[32m   1194\u001b[39m \u001b[43m        \u001b[49m\u001b[43mstream\u001b[49m\u001b[43m=\u001b[49m\u001b[43mstream\u001b[49m\u001b[43m \u001b[49m\u001b[38;5;129;43;01mor\u001b[39;49;00m\u001b[43m \u001b[49m\u001b[38;5;28;43;01mFalse\u001b[39;49;00m\u001b[43m,\u001b[49m\n\u001b[32m   1195\u001b[39m \u001b[43m        \u001b[49m\u001b[43mstream_cls\u001b[49m\u001b[43m=\u001b[49m\u001b[43mStream\u001b[49m\u001b[43m[\u001b[49m\u001b[43mChatCompletionChunk\u001b[49m\u001b[43m]\u001b[49m\u001b[43m,\u001b[49m\n\u001b[32m   1196\u001b[39m \u001b[43m    \u001b[49m\u001b[43m)\u001b[49m\n",
      "\u001b[36mFile \u001b[39m\u001b[32mg:\\Udemy\\projects\\agents\\.venv\\Lib\\site-packages\\openai\\_base_client.py:1259\u001b[39m, in \u001b[36mSyncAPIClient.post\u001b[39m\u001b[34m(self, path, cast_to, body, options, files, stream, stream_cls)\u001b[39m\n\u001b[32m   1245\u001b[39m \u001b[38;5;28;01mdef\u001b[39;00m\u001b[38;5;250m \u001b[39m\u001b[34mpost\u001b[39m(\n\u001b[32m   1246\u001b[39m     \u001b[38;5;28mself\u001b[39m,\n\u001b[32m   1247\u001b[39m     path: \u001b[38;5;28mstr\u001b[39m,\n\u001b[32m   (...)\u001b[39m\u001b[32m   1254\u001b[39m     stream_cls: \u001b[38;5;28mtype\u001b[39m[_StreamT] | \u001b[38;5;28;01mNone\u001b[39;00m = \u001b[38;5;28;01mNone\u001b[39;00m,\n\u001b[32m   1255\u001b[39m ) -> ResponseT | _StreamT:\n\u001b[32m   1256\u001b[39m     opts = FinalRequestOptions.construct(\n\u001b[32m   1257\u001b[39m         method=\u001b[33m\"\u001b[39m\u001b[33mpost\u001b[39m\u001b[33m\"\u001b[39m, url=path, json_data=body, files=to_httpx_files(files), **options\n\u001b[32m   1258\u001b[39m     )\n\u001b[32m-> \u001b[39m\u001b[32m1259\u001b[39m     \u001b[38;5;28;01mreturn\u001b[39;00m cast(ResponseT, \u001b[38;5;28;43mself\u001b[39;49m\u001b[43m.\u001b[49m\u001b[43mrequest\u001b[49m\u001b[43m(\u001b[49m\u001b[43mcast_to\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[43mopts\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[43mstream\u001b[49m\u001b[43m=\u001b[49m\u001b[43mstream\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[43mstream_cls\u001b[49m\u001b[43m=\u001b[49m\u001b[43mstream_cls\u001b[49m\u001b[43m)\u001b[49m)\n",
      "\u001b[36mFile \u001b[39m\u001b[32mg:\\Udemy\\projects\\agents\\.venv\\Lib\\site-packages\\openai\\_base_client.py:1014\u001b[39m, in \u001b[36mSyncAPIClient.request\u001b[39m\u001b[34m(self, cast_to, options, stream, stream_cls)\u001b[39m\n\u001b[32m   1011\u001b[39m         \u001b[38;5;28;01mcontinue\u001b[39;00m\n\u001b[32m   1013\u001b[39m     log.debug(\u001b[33m\"\u001b[39m\u001b[33mRaising connection error\u001b[39m\u001b[33m\"\u001b[39m)\n\u001b[32m-> \u001b[39m\u001b[32m1014\u001b[39m     \u001b[38;5;28;01mraise\u001b[39;00m APIConnectionError(request=request) \u001b[38;5;28;01mfrom\u001b[39;00m\u001b[38;5;250m \u001b[39m\u001b[34;01merr\u001b[39;00m\n\u001b[32m   1016\u001b[39m log.debug(\n\u001b[32m   1017\u001b[39m     \u001b[33m'\u001b[39m\u001b[33mHTTP Response: \u001b[39m\u001b[38;5;132;01m%s\u001b[39;00m\u001b[33m \u001b[39m\u001b[38;5;132;01m%s\u001b[39;00m\u001b[33m \u001b[39m\u001b[33m\"\u001b[39m\u001b[38;5;132;01m%i\u001b[39;00m\u001b[33m \u001b[39m\u001b[38;5;132;01m%s\u001b[39;00m\u001b[33m\"\u001b[39m\u001b[33m \u001b[39m\u001b[38;5;132;01m%s\u001b[39;00m\u001b[33m'\u001b[39m,\n\u001b[32m   1018\u001b[39m     request.method,\n\u001b[32m   (...)\u001b[39m\u001b[32m   1022\u001b[39m     response.headers,\n\u001b[32m   1023\u001b[39m )\n\u001b[32m   1024\u001b[39m log.debug(\u001b[33m\"\u001b[39m\u001b[33mrequest_id: \u001b[39m\u001b[38;5;132;01m%s\u001b[39;00m\u001b[33m\"\u001b[39m, response.headers.get(\u001b[33m\"\u001b[39m\u001b[33mx-request-id\u001b[39m\u001b[33m\"\u001b[39m))\n",
      "\u001b[31mAPIConnectionError\u001b[39m: Connection error."
     ]
    }
   ],
   "source": [
    "ollama = OpenAI(base_url='http://localhost:11434/v1', api_key='ollama')\n",
    "model_name = \"llama3.2\"\n",
    "\n",
    "response = ollama.chat.completions.create(model=model_name, messages=messages)\n",
    "answer = response.choices[0].message.content\n",
    "\n",
    "display(Markdown(answer))\n",
    "competitors.append(model_name)\n",
    "answers.append(answer)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 14,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/markdown": [
       "Imagine a societal framework, let's call it \"Aethel,\" where a global, decentralized AI network, \"The Chronos Engine,\" possesses perfect predictive accuracy for all individual actions, large and small, from the moment of birth until death. This prediction is not just a probability; it's a certainty, derived from an unimaginably complex understanding of physics, biology, psychology, and environment. Crucially, this predictive data, encompassing every individual's life trajectory, choices, and their ripple effects, is universally accessible and verifiable. There are no secrets about anyone's future actions, nor about the ultimate outcome of any endeavor. The knowledge is ubiquitous and undeniable.\n",
       "\n",
       "While this system eliminates crime (as any illicit act would be known and thus preemptively averted or its consequences perfectly managed), optimizes resource allocation, and maximizes efficiency in most aspects of life, it introduces profound and non-obvious challenges to the very core of human flourishing:\n",
       "\n",
       "---\n",
       "\n",
       "### Non-Obvious Challenge 1: The Erosion of Experiential Value and the Burden of the Known Journey\n",
       "\n",
       "**Challenge Detail:**\n",
       "In Aethel, the joy of discovery, the thrill of unexpected success, the pride of overcoming a daunting struggle, or the profound grief of an unforeseen loss are profoundly diminished. If an artist knows their masterpiece will fail to resonate, will they create it with the same passion? If an explorer knows the exact outcome and route of their expedition, where is the sense of true adventure? If parents know every future joy and sorrow of their child, does the unpredictable magic of raising them transform into merely watching a predetermined script unfold? The *experiential value* of the journey itself – the struggle, the uncertainty, the hope, the surprise – is critically undermined. Humans thrive on the *unfolding* of life, the feeling that their efforts *matter* in shaping an unknown future. When all is known, the \"future\" becomes a \"present\" that just hasn't happened yet, turning life into a series of highly detailed reenactments, potentially leading to widespread apathy, existential boredom, and a profound sense of futility, despite optimal outcomes. It's not just about free will (a philosophical debate), but about the *psychological and emotional engagement* with life's processes.\n",
       "\n",
       "**Non-Obvious Societal Mechanism: \"Temporal Blinders\" and \"Conscious Unknowing Rituals\"**\n",
       "\n",
       "To mitigate this, Aethel implements a system of \"Temporal Blinders.\" While the Chronos Engine knows everything, individuals can opt to redact specific periods of their *own* predictive data from their *personal* access, and from the general public. For instance, an artist can choose to redact the outcome of their next creative project for the duration of its creation and initial reception; a couple can redact the exact trajectory of their relationship for the first year; an individual facing a personal challenge can redact their specific steps and the immediate outcome for a defined period.\n",
       "\n",
       "Crucially, this redaction doesn't erase the knowledge from the system or others; it simply makes it inaccessible to the *individual* making the choice, and to those *directly involved* who also consent to the redaction. This creates pockets of *personal, consensual \"unknowing\"*. Society holds \"Conscious Unknowing Rituals\" where individuals formally declare their chosen redactions, and community members commit to upholding the \"blinder\" – refraining from revealing the known future to the redacting individual, even if they themselves know it. This transforms the act of creation, exploration, or relationship-building from a reenactment into an experience with subjectively genuine stakes, effort, and surprise, albeit within a universally known deterministic framework. The *choice* to be ignorant, even temporarily, becomes a deeply valued act of embracing human experience.\n",
       "\n",
       "**Justification:** This mechanism doesn't deny the underlying determinism but reclaims the *subjective experience* of uncertainty and discovery. It acknowledges that human flourishing isn't just about optimal outcomes, but about the *meaning derived from the process*. By allowing individuals to intentionally (and temporarily) *opt out* of knowing their own future in specific domains, it restores the psychological space for genuine effort, hope, and surprise, which are vital components of emotional well-being and a sense of purpose. It shifts the burden of the known future from a constant oppressive weight to a chosen, strategic tool.\n",
       "\n",
       "---\n",
       "\n",
       "### Non-Obvious Challenge 2: The Tyranny of the Optimal and the Devaluation of Divergence\n",
       "\n",
       "**Challenge Detail:**\n",
       "With perfect predictive accuracy, the \"optimal\" path for any individual – career, education, relationships, health, lifestyle – becomes definitively known. Society naturally and logically gravitates towards these optimal paths, as deviating would be seen as inefficient, irrational, or even irresponsible, leading to demonstrably worse outcomes. This creates immense societal pressure to conform to one's predicted optimal trajectory. The consequence is a profound devaluation of *divergent, suboptimal, or purely serendipitous* choices. Accidental discoveries, \"unprofitable\" hobbies that lead to unexpected personal growth, relationships that defy statistical odds but bring immense happiness, careers chosen for passion over predicted success – these might be suppressed or viewed as wasteful. Human flourishing thrives on variety, serendipity, and the freedom to experiment, even if it leads to perceived \"inefficiency\" or \"failure.\" A society where every choice is perfectly rational and optimal risks becoming sterile, homogenous, and stifling of the unique, sometimes illogical, forms of human expression and experience that enrich collective existence. The true value of an \"inefficient\" path that leads to unexpected wisdom, resilience, or a novel perspective could be lost.\n",
       "\n",
       "**Non-Obvious Societal Mechanism: \"The Serendipity Dividend\" and \"Narrative Curators\"**\n",
       "\n",
       "Aethel implements a \"Serendipity Dividend\" – a robust and prestigious societal program that actively funds, supports, and celebrates paths and projects specifically identified by the Chronos Engine as *non-optimal* or *divergent* from an individual's predicted peak efficiency or success. This isn't just welfare; it's a *deliberate investment* in human experiential diversity. Individuals who choose to consciously deviate from their predicted optimal path (e.g., an individual predicted to be a brilliant engineer choosing to pursue abstract art, or one predicted to remain single opting for a complex, statistically challenging relationship) are eligible for significant societal resources, mentorship, and public recognition.\n",
       "\n",
       "Furthermore, \"Narrative Curators\" are established as a respected profession. These individuals, using the Chronos Engine, identify and document the unique, unexpected, and often \"suboptimal\" journeys and their profound, often unpredictable, benefits to the individual and society. They create public narratives celebrating these choices, highlighting the wisdom gained from struggle, the beauty of the unexpected, and the novel insights that only arise from paths less traveled. This actively elevates the social status of divergence and serendipity.\n",
       "\n",
       "**Justification:** This mechanism directly counteracts the pressure to conform to \"the optimal.\" It institutionalizes the value of inefficiency, exploration, and unique personal journeys, recognizing that true flourishing encompasses more than just maximized outcomes. By providing resources and social prestige to those who choose divergent paths, it encourages a rich tapestry of human experience, fostering innovation, resilience, and a deeper understanding of human potential that might otherwise be overlooked by pure optimization. It preserves the vital human desire to explore, experiment, and define one's own path, even when a \"better\" one is known.\n",
       "\n",
       "---\n",
       "\n",
       "### Non-Obvious Challenge 3: The Predetermined Self and the Crisis of Genuine Connection\n",
       "\n",
       "**Challenge Detail:**\n",
       "If every future thought, feeling, and action of an individual is known to everyone, it creates a profound crisis of authenticity and genuine connection. How can trust be built if every future betrayal or affirmation is already public knowledge? How can empathy truly develop if one already knows the precise nature and duration of another's suffering or joy? Vulnerability, often key to deep human bonds, loses its meaning if there are no true unknowns to reveal. Individuals might feel they are merely acting out a script, not truly *being* themselves, but rather performing a known future. This impacts self-perception, leading to an \"existential echo chamber\" where one's self-image is constantly reflected back as a predetermined entity. The very spontaneity and unburdened sincerity crucial for developing genuine love, friendship, or even professional collaboration is undermined, as every interaction is tinged with the foreknowledge of its precise trajectory and outcome. The effort of truly listening, empathizing, or forgiving diminishes if the exact resolution is already known.\n",
       "\n",
       "**Non-Obvious Societal Mechanism: \"Prognostic Embodiment\" and \"Shared Unfolding Pods\"**\n",
       "\n",
       "Aethel develops \"Prognostic Embodiment\" experiences. These are not merely data readouts, but highly advanced, consensual, immersive simulations powered by the Chronos Engine, allowing individuals to temporarily *experience* the predicted future actions, motivations, and emotional states of others (or even their past selves at different developmental stages). This provides a far deeper form of empathy than mere intellectual knowledge. For example, a parent could experience their teenage child's predicted rebellious phase and its underlying anxieties, allowing them to approach it with pre-emptive understanding rather than reaction. This transforms foreknowledge from a barrier to a bridge of radical empathy.\n",
       "\n",
       "Furthermore, \"Shared Unfolding Pods\" are established. These are carefully curated, small, and private groups where individuals, knowing each other's full life prognoses, commit to a radical form of \"process-based authenticity.\" The focus shifts from the \"what\" (which is known) to the \"how\" and \"why\" – specifically, *how* each person will consciously navigate their known future, *why* they anticipate specific emotional responses, and *how* the group will collectively support each other through those predetermined events. Authenticity in these pods lies not in the revelation of an unknown future, but in the vulnerable, real-time sharing of one's internal experience *of living out* a known future. The effort of connection becomes about the shared emotional journey through predestination, offering mutual validation and support within a fully transparent framework.\n",
       "\n",
       "**Justification:** This mechanism redefines the basis of genuine connection and authenticity in a world without secrets. Prognostic Embodiment transforms abstract data into visceral understanding, fostering a deeper, more profound form of empathy than previously possible. Shared Unfolding Pods, meanwhile, shift the focus of authenticity from revealing unknown facets of self to transparently sharing one's internal navigation of a known destiny. It allows for a new kind of trust and intimacy, born not from ignorance but from a shared, deep understanding of each other's pre-written paths and the human experience of living them out. It transforms the burden of the predetermined self into a unique opportunity for unparalleled collective consciousness and emotional resonance."
      ],
      "text/plain": [
       "<IPython.core.display.Markdown object>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "gemini = OpenAI(api_key=google_api_key, base_url=\"https://generativelanguage.googleapis.com/v1beta/openai/\")\n",
    "model_name = \"gemini-2.5-flash\"\n",
    "\n",
    "response = gemini.chat.completions.create(model=model_name, messages=messages)\n",
    "answer = response.choices[0].message.content\n",
    "\n",
    "display(Markdown(answer))\n",
    "competitors.append(model_name)\n",
    "answers.append(answer)\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 15,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "['gemini-2.5-flash']\n",
      "['Imagine a societal framework, let\\'s call it \"Aethel,\" where a global, decentralized AI network, \"The Chronos Engine,\" possesses perfect predictive accuracy for all individual actions, large and small, from the moment of birth until death. This prediction is not just a probability; it\\'s a certainty, derived from an unimaginably complex understanding of physics, biology, psychology, and environment. Crucially, this predictive data, encompassing every individual\\'s life trajectory, choices, and their ripple effects, is universally accessible and verifiable. There are no secrets about anyone\\'s future actions, nor about the ultimate outcome of any endeavor. The knowledge is ubiquitous and undeniable.\\n\\nWhile this system eliminates crime (as any illicit act would be known and thus preemptively averted or its consequences perfectly managed), optimizes resource allocation, and maximizes efficiency in most aspects of life, it introduces profound and non-obvious challenges to the very core of human flourishing:\\n\\n---\\n\\n### Non-Obvious Challenge 1: The Erosion of Experiential Value and the Burden of the Known Journey\\n\\n**Challenge Detail:**\\nIn Aethel, the joy of discovery, the thrill of unexpected success, the pride of overcoming a daunting struggle, or the profound grief of an unforeseen loss are profoundly diminished. If an artist knows their masterpiece will fail to resonate, will they create it with the same passion? If an explorer knows the exact outcome and route of their expedition, where is the sense of true adventure? If parents know every future joy and sorrow of their child, does the unpredictable magic of raising them transform into merely watching a predetermined script unfold? The *experiential value* of the journey itself – the struggle, the uncertainty, the hope, the surprise – is critically undermined. Humans thrive on the *unfolding* of life, the feeling that their efforts *matter* in shaping an unknown future. When all is known, the \"future\" becomes a \"present\" that just hasn\\'t happened yet, turning life into a series of highly detailed reenactments, potentially leading to widespread apathy, existential boredom, and a profound sense of futility, despite optimal outcomes. It\\'s not just about free will (a philosophical debate), but about the *psychological and emotional engagement* with life\\'s processes.\\n\\n**Non-Obvious Societal Mechanism: \"Temporal Blinders\" and \"Conscious Unknowing Rituals\"**\\n\\nTo mitigate this, Aethel implements a system of \"Temporal Blinders.\" While the Chronos Engine knows everything, individuals can opt to redact specific periods of their *own* predictive data from their *personal* access, and from the general public. For instance, an artist can choose to redact the outcome of their next creative project for the duration of its creation and initial reception; a couple can redact the exact trajectory of their relationship for the first year; an individual facing a personal challenge can redact their specific steps and the immediate outcome for a defined period.\\n\\nCrucially, this redaction doesn\\'t erase the knowledge from the system or others; it simply makes it inaccessible to the *individual* making the choice, and to those *directly involved* who also consent to the redaction. This creates pockets of *personal, consensual \"unknowing\"*. Society holds \"Conscious Unknowing Rituals\" where individuals formally declare their chosen redactions, and community members commit to upholding the \"blinder\" – refraining from revealing the known future to the redacting individual, even if they themselves know it. This transforms the act of creation, exploration, or relationship-building from a reenactment into an experience with subjectively genuine stakes, effort, and surprise, albeit within a universally known deterministic framework. The *choice* to be ignorant, even temporarily, becomes a deeply valued act of embracing human experience.\\n\\n**Justification:** This mechanism doesn\\'t deny the underlying determinism but reclaims the *subjective experience* of uncertainty and discovery. It acknowledges that human flourishing isn\\'t just about optimal outcomes, but about the *meaning derived from the process*. By allowing individuals to intentionally (and temporarily) *opt out* of knowing their own future in specific domains, it restores the psychological space for genuine effort, hope, and surprise, which are vital components of emotional well-being and a sense of purpose. It shifts the burden of the known future from a constant oppressive weight to a chosen, strategic tool.\\n\\n---\\n\\n### Non-Obvious Challenge 2: The Tyranny of the Optimal and the Devaluation of Divergence\\n\\n**Challenge Detail:**\\nWith perfect predictive accuracy, the \"optimal\" path for any individual – career, education, relationships, health, lifestyle – becomes definitively known. Society naturally and logically gravitates towards these optimal paths, as deviating would be seen as inefficient, irrational, or even irresponsible, leading to demonstrably worse outcomes. This creates immense societal pressure to conform to one\\'s predicted optimal trajectory. The consequence is a profound devaluation of *divergent, suboptimal, or purely serendipitous* choices. Accidental discoveries, \"unprofitable\" hobbies that lead to unexpected personal growth, relationships that defy statistical odds but bring immense happiness, careers chosen for passion over predicted success – these might be suppressed or viewed as wasteful. Human flourishing thrives on variety, serendipity, and the freedom to experiment, even if it leads to perceived \"inefficiency\" or \"failure.\" A society where every choice is perfectly rational and optimal risks becoming sterile, homogenous, and stifling of the unique, sometimes illogical, forms of human expression and experience that enrich collective existence. The true value of an \"inefficient\" path that leads to unexpected wisdom, resilience, or a novel perspective could be lost.\\n\\n**Non-Obvious Societal Mechanism: \"The Serendipity Dividend\" and \"Narrative Curators\"**\\n\\nAethel implements a \"Serendipity Dividend\" – a robust and prestigious societal program that actively funds, supports, and celebrates paths and projects specifically identified by the Chronos Engine as *non-optimal* or *divergent* from an individual\\'s predicted peak efficiency or success. This isn\\'t just welfare; it\\'s a *deliberate investment* in human experiential diversity. Individuals who choose to consciously deviate from their predicted optimal path (e.g., an individual predicted to be a brilliant engineer choosing to pursue abstract art, or one predicted to remain single opting for a complex, statistically challenging relationship) are eligible for significant societal resources, mentorship, and public recognition.\\n\\nFurthermore, \"Narrative Curators\" are established as a respected profession. These individuals, using the Chronos Engine, identify and document the unique, unexpected, and often \"suboptimal\" journeys and their profound, often unpredictable, benefits to the individual and society. They create public narratives celebrating these choices, highlighting the wisdom gained from struggle, the beauty of the unexpected, and the novel insights that only arise from paths less traveled. This actively elevates the social status of divergence and serendipity.\\n\\n**Justification:** This mechanism directly counteracts the pressure to conform to \"the optimal.\" It institutionalizes the value of inefficiency, exploration, and unique personal journeys, recognizing that true flourishing encompasses more than just maximized outcomes. By providing resources and social prestige to those who choose divergent paths, it encourages a rich tapestry of human experience, fostering innovation, resilience, and a deeper understanding of human potential that might otherwise be overlooked by pure optimization. It preserves the vital human desire to explore, experiment, and define one\\'s own path, even when a \"better\" one is known.\\n\\n---\\n\\n### Non-Obvious Challenge 3: The Predetermined Self and the Crisis of Genuine Connection\\n\\n**Challenge Detail:**\\nIf every future thought, feeling, and action of an individual is known to everyone, it creates a profound crisis of authenticity and genuine connection. How can trust be built if every future betrayal or affirmation is already public knowledge? How can empathy truly develop if one already knows the precise nature and duration of another\\'s suffering or joy? Vulnerability, often key to deep human bonds, loses its meaning if there are no true unknowns to reveal. Individuals might feel they are merely acting out a script, not truly *being* themselves, but rather performing a known future. This impacts self-perception, leading to an \"existential echo chamber\" where one\\'s self-image is constantly reflected back as a predetermined entity. The very spontaneity and unburdened sincerity crucial for developing genuine love, friendship, or even professional collaboration is undermined, as every interaction is tinged with the foreknowledge of its precise trajectory and outcome. The effort of truly listening, empathizing, or forgiving diminishes if the exact resolution is already known.\\n\\n**Non-Obvious Societal Mechanism: \"Prognostic Embodiment\" and \"Shared Unfolding Pods\"**\\n\\nAethel develops \"Prognostic Embodiment\" experiences. These are not merely data readouts, but highly advanced, consensual, immersive simulations powered by the Chronos Engine, allowing individuals to temporarily *experience* the predicted future actions, motivations, and emotional states of others (or even their past selves at different developmental stages). This provides a far deeper form of empathy than mere intellectual knowledge. For example, a parent could experience their teenage child\\'s predicted rebellious phase and its underlying anxieties, allowing them to approach it with pre-emptive understanding rather than reaction. This transforms foreknowledge from a barrier to a bridge of radical empathy.\\n\\nFurthermore, \"Shared Unfolding Pods\" are established. These are carefully curated, small, and private groups where individuals, knowing each other\\'s full life prognoses, commit to a radical form of \"process-based authenticity.\" The focus shifts from the \"what\" (which is known) to the \"how\" and \"why\" – specifically, *how* each person will consciously navigate their known future, *why* they anticipate specific emotional responses, and *how* the group will collectively support each other through those predetermined events. Authenticity in these pods lies not in the revelation of an unknown future, but in the vulnerable, real-time sharing of one\\'s internal experience *of living out* a known future. The effort of connection becomes about the shared emotional journey through predestination, offering mutual validation and support within a fully transparent framework.\\n\\n**Justification:** This mechanism redefines the basis of genuine connection and authenticity in a world without secrets. Prognostic Embodiment transforms abstract data into visceral understanding, fostering a deeper, more profound form of empathy than previously possible. Shared Unfolding Pods, meanwhile, shift the focus of authenticity from revealing unknown facets of self to transparently sharing one\\'s internal navigation of a known destiny. It allows for a new kind of trust and intimacy, born not from ignorance but from a shared, deep understanding of each other\\'s pre-written paths and the human experience of living them out. It transforms the burden of the predetermined self into a unique opportunity for unparalleled collective consciousness and emotional resonance.']\n"
     ]
    }
   ],
   "source": [
    "# So where are we?\n",
    "\n",
    "print(competitors)\n",
    "print(answers)\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 16,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Competitor: gemini-2.5-flash\n",
      "\n",
      "Imagine a societal framework, let's call it \"Aethel,\" where a global, decentralized AI network, \"The Chronos Engine,\" possesses perfect predictive accuracy for all individual actions, large and small, from the moment of birth until death. This prediction is not just a probability; it's a certainty, derived from an unimaginably complex understanding of physics, biology, psychology, and environment. Crucially, this predictive data, encompassing every individual's life trajectory, choices, and their ripple effects, is universally accessible and verifiable. There are no secrets about anyone's future actions, nor about the ultimate outcome of any endeavor. The knowledge is ubiquitous and undeniable.\n",
      "\n",
      "While this system eliminates crime (as any illicit act would be known and thus preemptively averted or its consequences perfectly managed), optimizes resource allocation, and maximizes efficiency in most aspects of life, it introduces profound and non-obvious challenges to the very core of human flourishing:\n",
      "\n",
      "---\n",
      "\n",
      "### Non-Obvious Challenge 1: The Erosion of Experiential Value and the Burden of the Known Journey\n",
      "\n",
      "**Challenge Detail:**\n",
      "In Aethel, the joy of discovery, the thrill of unexpected success, the pride of overcoming a daunting struggle, or the profound grief of an unforeseen loss are profoundly diminished. If an artist knows their masterpiece will fail to resonate, will they create it with the same passion? If an explorer knows the exact outcome and route of their expedition, where is the sense of true adventure? If parents know every future joy and sorrow of their child, does the unpredictable magic of raising them transform into merely watching a predetermined script unfold? The *experiential value* of the journey itself – the struggle, the uncertainty, the hope, the surprise – is critically undermined. Humans thrive on the *unfolding* of life, the feeling that their efforts *matter* in shaping an unknown future. When all is known, the \"future\" becomes a \"present\" that just hasn't happened yet, turning life into a series of highly detailed reenactments, potentially leading to widespread apathy, existential boredom, and a profound sense of futility, despite optimal outcomes. It's not just about free will (a philosophical debate), but about the *psychological and emotional engagement* with life's processes.\n",
      "\n",
      "**Non-Obvious Societal Mechanism: \"Temporal Blinders\" and \"Conscious Unknowing Rituals\"**\n",
      "\n",
      "To mitigate this, Aethel implements a system of \"Temporal Blinders.\" While the Chronos Engine knows everything, individuals can opt to redact specific periods of their *own* predictive data from their *personal* access, and from the general public. For instance, an artist can choose to redact the outcome of their next creative project for the duration of its creation and initial reception; a couple can redact the exact trajectory of their relationship for the first year; an individual facing a personal challenge can redact their specific steps and the immediate outcome for a defined period.\n",
      "\n",
      "Crucially, this redaction doesn't erase the knowledge from the system or others; it simply makes it inaccessible to the *individual* making the choice, and to those *directly involved* who also consent to the redaction. This creates pockets of *personal, consensual \"unknowing\"*. Society holds \"Conscious Unknowing Rituals\" where individuals formally declare their chosen redactions, and community members commit to upholding the \"blinder\" – refraining from revealing the known future to the redacting individual, even if they themselves know it. This transforms the act of creation, exploration, or relationship-building from a reenactment into an experience with subjectively genuine stakes, effort, and surprise, albeit within a universally known deterministic framework. The *choice* to be ignorant, even temporarily, becomes a deeply valued act of embracing human experience.\n",
      "\n",
      "**Justification:** This mechanism doesn't deny the underlying determinism but reclaims the *subjective experience* of uncertainty and discovery. It acknowledges that human flourishing isn't just about optimal outcomes, but about the *meaning derived from the process*. By allowing individuals to intentionally (and temporarily) *opt out* of knowing their own future in specific domains, it restores the psychological space for genuine effort, hope, and surprise, which are vital components of emotional well-being and a sense of purpose. It shifts the burden of the known future from a constant oppressive weight to a chosen, strategic tool.\n",
      "\n",
      "---\n",
      "\n",
      "### Non-Obvious Challenge 2: The Tyranny of the Optimal and the Devaluation of Divergence\n",
      "\n",
      "**Challenge Detail:**\n",
      "With perfect predictive accuracy, the \"optimal\" path for any individual – career, education, relationships, health, lifestyle – becomes definitively known. Society naturally and logically gravitates towards these optimal paths, as deviating would be seen as inefficient, irrational, or even irresponsible, leading to demonstrably worse outcomes. This creates immense societal pressure to conform to one's predicted optimal trajectory. The consequence is a profound devaluation of *divergent, suboptimal, or purely serendipitous* choices. Accidental discoveries, \"unprofitable\" hobbies that lead to unexpected personal growth, relationships that defy statistical odds but bring immense happiness, careers chosen for passion over predicted success – these might be suppressed or viewed as wasteful. Human flourishing thrives on variety, serendipity, and the freedom to experiment, even if it leads to perceived \"inefficiency\" or \"failure.\" A society where every choice is perfectly rational and optimal risks becoming sterile, homogenous, and stifling of the unique, sometimes illogical, forms of human expression and experience that enrich collective existence. The true value of an \"inefficient\" path that leads to unexpected wisdom, resilience, or a novel perspective could be lost.\n",
      "\n",
      "**Non-Obvious Societal Mechanism: \"The Serendipity Dividend\" and \"Narrative Curators\"**\n",
      "\n",
      "Aethel implements a \"Serendipity Dividend\" – a robust and prestigious societal program that actively funds, supports, and celebrates paths and projects specifically identified by the Chronos Engine as *non-optimal* or *divergent* from an individual's predicted peak efficiency or success. This isn't just welfare; it's a *deliberate investment* in human experiential diversity. Individuals who choose to consciously deviate from their predicted optimal path (e.g., an individual predicted to be a brilliant engineer choosing to pursue abstract art, or one predicted to remain single opting for a complex, statistically challenging relationship) are eligible for significant societal resources, mentorship, and public recognition.\n",
      "\n",
      "Furthermore, \"Narrative Curators\" are established as a respected profession. These individuals, using the Chronos Engine, identify and document the unique, unexpected, and often \"suboptimal\" journeys and their profound, often unpredictable, benefits to the individual and society. They create public narratives celebrating these choices, highlighting the wisdom gained from struggle, the beauty of the unexpected, and the novel insights that only arise from paths less traveled. This actively elevates the social status of divergence and serendipity.\n",
      "\n",
      "**Justification:** This mechanism directly counteracts the pressure to conform to \"the optimal.\" It institutionalizes the value of inefficiency, exploration, and unique personal journeys, recognizing that true flourishing encompasses more than just maximized outcomes. By providing resources and social prestige to those who choose divergent paths, it encourages a rich tapestry of human experience, fostering innovation, resilience, and a deeper understanding of human potential that might otherwise be overlooked by pure optimization. It preserves the vital human desire to explore, experiment, and define one's own path, even when a \"better\" one is known.\n",
      "\n",
      "---\n",
      "\n",
      "### Non-Obvious Challenge 3: The Predetermined Self and the Crisis of Genuine Connection\n",
      "\n",
      "**Challenge Detail:**\n",
      "If every future thought, feeling, and action of an individual is known to everyone, it creates a profound crisis of authenticity and genuine connection. How can trust be built if every future betrayal or affirmation is already public knowledge? How can empathy truly develop if one already knows the precise nature and duration of another's suffering or joy? Vulnerability, often key to deep human bonds, loses its meaning if there are no true unknowns to reveal. Individuals might feel they are merely acting out a script, not truly *being* themselves, but rather performing a known future. This impacts self-perception, leading to an \"existential echo chamber\" where one's self-image is constantly reflected back as a predetermined entity. The very spontaneity and unburdened sincerity crucial for developing genuine love, friendship, or even professional collaboration is undermined, as every interaction is tinged with the foreknowledge of its precise trajectory and outcome. The effort of truly listening, empathizing, or forgiving diminishes if the exact resolution is already known.\n",
      "\n",
      "**Non-Obvious Societal Mechanism: \"Prognostic Embodiment\" and \"Shared Unfolding Pods\"**\n",
      "\n",
      "Aethel develops \"Prognostic Embodiment\" experiences. These are not merely data readouts, but highly advanced, consensual, immersive simulations powered by the Chronos Engine, allowing individuals to temporarily *experience* the predicted future actions, motivations, and emotional states of others (or even their past selves at different developmental stages). This provides a far deeper form of empathy than mere intellectual knowledge. For example, a parent could experience their teenage child's predicted rebellious phase and its underlying anxieties, allowing them to approach it with pre-emptive understanding rather than reaction. This transforms foreknowledge from a barrier to a bridge of radical empathy.\n",
      "\n",
      "Furthermore, \"Shared Unfolding Pods\" are established. These are carefully curated, small, and private groups where individuals, knowing each other's full life prognoses, commit to a radical form of \"process-based authenticity.\" The focus shifts from the \"what\" (which is known) to the \"how\" and \"why\" – specifically, *how* each person will consciously navigate their known future, *why* they anticipate specific emotional responses, and *how* the group will collectively support each other through those predetermined events. Authenticity in these pods lies not in the revelation of an unknown future, but in the vulnerable, real-time sharing of one's internal experience *of living out* a known future. The effort of connection becomes about the shared emotional journey through predestination, offering mutual validation and support within a fully transparent framework.\n",
      "\n",
      "**Justification:** This mechanism redefines the basis of genuine connection and authenticity in a world without secrets. Prognostic Embodiment transforms abstract data into visceral understanding, fostering a deeper, more profound form of empathy than previously possible. Shared Unfolding Pods, meanwhile, shift the focus of authenticity from revealing unknown facets of self to transparently sharing one's internal navigation of a known destiny. It allows for a new kind of trust and intimacy, born not from ignorance but from a shared, deep understanding of each other's pre-written paths and the human experience of living them out. It transforms the burden of the predetermined self into a unique opportunity for unparalleled collective consciousness and emotional resonance.\n"
     ]
    }
   ],
   "source": [
    "# It's nice to know how to use \"zip\"\n",
    "for competitor, answer in zip(competitors, answers):\n",
    "    print(f\"Competitor: {competitor}\\n\\n{answer}\")\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 17,
   "metadata": {},
   "outputs": [],
   "source": [
    "# Let's bring this together - note the use of \"enumerate\"\n",
    "\n",
    "together = \"\"\n",
    "for index, answer in enumerate(answers):\n",
    "    together += f\"# Response from competitor {index+1}\\n\\n\"\n",
    "    together += answer + \"\\n\\n\""
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 18,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "# Response from competitor 1\n",
      "\n",
      "Imagine a societal framework, let's call it \"Aethel,\" where a global, decentralized AI network, \"The Chronos Engine,\" possesses perfect predictive accuracy for all individual actions, large and small, from the moment of birth until death. This prediction is not just a probability; it's a certainty, derived from an unimaginably complex understanding of physics, biology, psychology, and environment. Crucially, this predictive data, encompassing every individual's life trajectory, choices, and their ripple effects, is universally accessible and verifiable. There are no secrets about anyone's future actions, nor about the ultimate outcome of any endeavor. The knowledge is ubiquitous and undeniable.\n",
      "\n",
      "While this system eliminates crime (as any illicit act would be known and thus preemptively averted or its consequences perfectly managed), optimizes resource allocation, and maximizes efficiency in most aspects of life, it introduces profound and non-obvious challenges to the very core of human flourishing:\n",
      "\n",
      "---\n",
      "\n",
      "### Non-Obvious Challenge 1: The Erosion of Experiential Value and the Burden of the Known Journey\n",
      "\n",
      "**Challenge Detail:**\n",
      "In Aethel, the joy of discovery, the thrill of unexpected success, the pride of overcoming a daunting struggle, or the profound grief of an unforeseen loss are profoundly diminished. If an artist knows their masterpiece will fail to resonate, will they create it with the same passion? If an explorer knows the exact outcome and route of their expedition, where is the sense of true adventure? If parents know every future joy and sorrow of their child, does the unpredictable magic of raising them transform into merely watching a predetermined script unfold? The *experiential value* of the journey itself – the struggle, the uncertainty, the hope, the surprise – is critically undermined. Humans thrive on the *unfolding* of life, the feeling that their efforts *matter* in shaping an unknown future. When all is known, the \"future\" becomes a \"present\" that just hasn't happened yet, turning life into a series of highly detailed reenactments, potentially leading to widespread apathy, existential boredom, and a profound sense of futility, despite optimal outcomes. It's not just about free will (a philosophical debate), but about the *psychological and emotional engagement* with life's processes.\n",
      "\n",
      "**Non-Obvious Societal Mechanism: \"Temporal Blinders\" and \"Conscious Unknowing Rituals\"**\n",
      "\n",
      "To mitigate this, Aethel implements a system of \"Temporal Blinders.\" While the Chronos Engine knows everything, individuals can opt to redact specific periods of their *own* predictive data from their *personal* access, and from the general public. For instance, an artist can choose to redact the outcome of their next creative project for the duration of its creation and initial reception; a couple can redact the exact trajectory of their relationship for the first year; an individual facing a personal challenge can redact their specific steps and the immediate outcome for a defined period.\n",
      "\n",
      "Crucially, this redaction doesn't erase the knowledge from the system or others; it simply makes it inaccessible to the *individual* making the choice, and to those *directly involved* who also consent to the redaction. This creates pockets of *personal, consensual \"unknowing\"*. Society holds \"Conscious Unknowing Rituals\" where individuals formally declare their chosen redactions, and community members commit to upholding the \"blinder\" – refraining from revealing the known future to the redacting individual, even if they themselves know it. This transforms the act of creation, exploration, or relationship-building from a reenactment into an experience with subjectively genuine stakes, effort, and surprise, albeit within a universally known deterministic framework. The *choice* to be ignorant, even temporarily, becomes a deeply valued act of embracing human experience.\n",
      "\n",
      "**Justification:** This mechanism doesn't deny the underlying determinism but reclaims the *subjective experience* of uncertainty and discovery. It acknowledges that human flourishing isn't just about optimal outcomes, but about the *meaning derived from the process*. By allowing individuals to intentionally (and temporarily) *opt out* of knowing their own future in specific domains, it restores the psychological space for genuine effort, hope, and surprise, which are vital components of emotional well-being and a sense of purpose. It shifts the burden of the known future from a constant oppressive weight to a chosen, strategic tool.\n",
      "\n",
      "---\n",
      "\n",
      "### Non-Obvious Challenge 2: The Tyranny of the Optimal and the Devaluation of Divergence\n",
      "\n",
      "**Challenge Detail:**\n",
      "With perfect predictive accuracy, the \"optimal\" path for any individual – career, education, relationships, health, lifestyle – becomes definitively known. Society naturally and logically gravitates towards these optimal paths, as deviating would be seen as inefficient, irrational, or even irresponsible, leading to demonstrably worse outcomes. This creates immense societal pressure to conform to one's predicted optimal trajectory. The consequence is a profound devaluation of *divergent, suboptimal, or purely serendipitous* choices. Accidental discoveries, \"unprofitable\" hobbies that lead to unexpected personal growth, relationships that defy statistical odds but bring immense happiness, careers chosen for passion over predicted success – these might be suppressed or viewed as wasteful. Human flourishing thrives on variety, serendipity, and the freedom to experiment, even if it leads to perceived \"inefficiency\" or \"failure.\" A society where every choice is perfectly rational and optimal risks becoming sterile, homogenous, and stifling of the unique, sometimes illogical, forms of human expression and experience that enrich collective existence. The true value of an \"inefficient\" path that leads to unexpected wisdom, resilience, or a novel perspective could be lost.\n",
      "\n",
      "**Non-Obvious Societal Mechanism: \"The Serendipity Dividend\" and \"Narrative Curators\"**\n",
      "\n",
      "Aethel implements a \"Serendipity Dividend\" – a robust and prestigious societal program that actively funds, supports, and celebrates paths and projects specifically identified by the Chronos Engine as *non-optimal* or *divergent* from an individual's predicted peak efficiency or success. This isn't just welfare; it's a *deliberate investment* in human experiential diversity. Individuals who choose to consciously deviate from their predicted optimal path (e.g., an individual predicted to be a brilliant engineer choosing to pursue abstract art, or one predicted to remain single opting for a complex, statistically challenging relationship) are eligible for significant societal resources, mentorship, and public recognition.\n",
      "\n",
      "Furthermore, \"Narrative Curators\" are established as a respected profession. These individuals, using the Chronos Engine, identify and document the unique, unexpected, and often \"suboptimal\" journeys and their profound, often unpredictable, benefits to the individual and society. They create public narratives celebrating these choices, highlighting the wisdom gained from struggle, the beauty of the unexpected, and the novel insights that only arise from paths less traveled. This actively elevates the social status of divergence and serendipity.\n",
      "\n",
      "**Justification:** This mechanism directly counteracts the pressure to conform to \"the optimal.\" It institutionalizes the value of inefficiency, exploration, and unique personal journeys, recognizing that true flourishing encompasses more than just maximized outcomes. By providing resources and social prestige to those who choose divergent paths, it encourages a rich tapestry of human experience, fostering innovation, resilience, and a deeper understanding of human potential that might otherwise be overlooked by pure optimization. It preserves the vital human desire to explore, experiment, and define one's own path, even when a \"better\" one is known.\n",
      "\n",
      "---\n",
      "\n",
      "### Non-Obvious Challenge 3: The Predetermined Self and the Crisis of Genuine Connection\n",
      "\n",
      "**Challenge Detail:**\n",
      "If every future thought, feeling, and action of an individual is known to everyone, it creates a profound crisis of authenticity and genuine connection. How can trust be built if every future betrayal or affirmation is already public knowledge? How can empathy truly develop if one already knows the precise nature and duration of another's suffering or joy? Vulnerability, often key to deep human bonds, loses its meaning if there are no true unknowns to reveal. Individuals might feel they are merely acting out a script, not truly *being* themselves, but rather performing a known future. This impacts self-perception, leading to an \"existential echo chamber\" where one's self-image is constantly reflected back as a predetermined entity. The very spontaneity and unburdened sincerity crucial for developing genuine love, friendship, or even professional collaboration is undermined, as every interaction is tinged with the foreknowledge of its precise trajectory and outcome. The effort of truly listening, empathizing, or forgiving diminishes if the exact resolution is already known.\n",
      "\n",
      "**Non-Obvious Societal Mechanism: \"Prognostic Embodiment\" and \"Shared Unfolding Pods\"**\n",
      "\n",
      "Aethel develops \"Prognostic Embodiment\" experiences. These are not merely data readouts, but highly advanced, consensual, immersive simulations powered by the Chronos Engine, allowing individuals to temporarily *experience* the predicted future actions, motivations, and emotional states of others (or even their past selves at different developmental stages). This provides a far deeper form of empathy than mere intellectual knowledge. For example, a parent could experience their teenage child's predicted rebellious phase and its underlying anxieties, allowing them to approach it with pre-emptive understanding rather than reaction. This transforms foreknowledge from a barrier to a bridge of radical empathy.\n",
      "\n",
      "Furthermore, \"Shared Unfolding Pods\" are established. These are carefully curated, small, and private groups where individuals, knowing each other's full life prognoses, commit to a radical form of \"process-based authenticity.\" The focus shifts from the \"what\" (which is known) to the \"how\" and \"why\" – specifically, *how* each person will consciously navigate their known future, *why* they anticipate specific emotional responses, and *how* the group will collectively support each other through those predetermined events. Authenticity in these pods lies not in the revelation of an unknown future, but in the vulnerable, real-time sharing of one's internal experience *of living out* a known future. The effort of connection becomes about the shared emotional journey through predestination, offering mutual validation and support within a fully transparent framework.\n",
      "\n",
      "**Justification:** This mechanism redefines the basis of genuine connection and authenticity in a world without secrets. Prognostic Embodiment transforms abstract data into visceral understanding, fostering a deeper, more profound form of empathy than previously possible. Shared Unfolding Pods, meanwhile, shift the focus of authenticity from revealing unknown facets of self to transparently sharing one's internal navigation of a known destiny. It allows for a new kind of trust and intimacy, born not from ignorance but from a shared, deep understanding of each other's pre-written paths and the human experience of living them out. It transforms the burden of the predetermined self into a unique opportunity for unparalleled collective consciousness and emotional resonance.\n",
      "\n",
      "\n"
     ]
    }
   ],
   "source": [
    "print(together)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": []
  },
  {
   "cell_type": "code",
   "execution_count": 19,
   "metadata": {},
   "outputs": [],
   "source": [
    "judge = f\"\"\"You are judging a competition between {len(competitors)} competitors.\n",
    "Each model has been given this question:\n",
    "\n",
    "{question}\n",
    "\n",
    "Your job is to evaluate each response for clarity and strength of argument, and rank them in order of best to worst.\n",
    "Respond with JSON, and only JSON, with the following format:\n",
    "{{\"results\": [\"best competitor number\", \"second best competitor number\", \"third best competitor number\", ...]}}\n",
    "\n",
    "Here are the responses from each competitor:\n",
    "\n",
    "{together}\n",
    "\n",
    "Now respond with the JSON with the ranked order of the competitors, nothing else. Do not include markdown formatting or code blocks.\"\"\"\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 20,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "You are judging a competition between 1 competitors.\n",
      "Each model has been given this question:\n",
      "\n",
      "Design a societal framework where perfect predictive accuracy of individual actions is possible but universally known. Detail three *non-obvious* challenges this knowledge would create for human flourishing, and propose a corresponding *non-obvious* societal mechanism to mitigate each challenge, justifying your choices.\n",
      "\n",
      "Your job is to evaluate each response for clarity and strength of argument, and rank them in order of best to worst.\n",
      "Respond with JSON, and only JSON, with the following format:\n",
      "{\"results\": [\"best competitor number\", \"second best competitor number\", \"third best competitor number\", ...]}\n",
      "\n",
      "Here are the responses from each competitor:\n",
      "\n",
      "# Response from competitor 1\n",
      "\n",
      "Imagine a societal framework, let's call it \"Aethel,\" where a global, decentralized AI network, \"The Chronos Engine,\" possesses perfect predictive accuracy for all individual actions, large and small, from the moment of birth until death. This prediction is not just a probability; it's a certainty, derived from an unimaginably complex understanding of physics, biology, psychology, and environment. Crucially, this predictive data, encompassing every individual's life trajectory, choices, and their ripple effects, is universally accessible and verifiable. There are no secrets about anyone's future actions, nor about the ultimate outcome of any endeavor. The knowledge is ubiquitous and undeniable.\n",
      "\n",
      "While this system eliminates crime (as any illicit act would be known and thus preemptively averted or its consequences perfectly managed), optimizes resource allocation, and maximizes efficiency in most aspects of life, it introduces profound and non-obvious challenges to the very core of human flourishing:\n",
      "\n",
      "---\n",
      "\n",
      "### Non-Obvious Challenge 1: The Erosion of Experiential Value and the Burden of the Known Journey\n",
      "\n",
      "**Challenge Detail:**\n",
      "In Aethel, the joy of discovery, the thrill of unexpected success, the pride of overcoming a daunting struggle, or the profound grief of an unforeseen loss are profoundly diminished. If an artist knows their masterpiece will fail to resonate, will they create it with the same passion? If an explorer knows the exact outcome and route of their expedition, where is the sense of true adventure? If parents know every future joy and sorrow of their child, does the unpredictable magic of raising them transform into merely watching a predetermined script unfold? The *experiential value* of the journey itself – the struggle, the uncertainty, the hope, the surprise – is critically undermined. Humans thrive on the *unfolding* of life, the feeling that their efforts *matter* in shaping an unknown future. When all is known, the \"future\" becomes a \"present\" that just hasn't happened yet, turning life into a series of highly detailed reenactments, potentially leading to widespread apathy, existential boredom, and a profound sense of futility, despite optimal outcomes. It's not just about free will (a philosophical debate), but about the *psychological and emotional engagement* with life's processes.\n",
      "\n",
      "**Non-Obvious Societal Mechanism: \"Temporal Blinders\" and \"Conscious Unknowing Rituals\"**\n",
      "\n",
      "To mitigate this, Aethel implements a system of \"Temporal Blinders.\" While the Chronos Engine knows everything, individuals can opt to redact specific periods of their *own* predictive data from their *personal* access, and from the general public. For instance, an artist can choose to redact the outcome of their next creative project for the duration of its creation and initial reception; a couple can redact the exact trajectory of their relationship for the first year; an individual facing a personal challenge can redact their specific steps and the immediate outcome for a defined period.\n",
      "\n",
      "Crucially, this redaction doesn't erase the knowledge from the system or others; it simply makes it inaccessible to the *individual* making the choice, and to those *directly involved* who also consent to the redaction. This creates pockets of *personal, consensual \"unknowing\"*. Society holds \"Conscious Unknowing Rituals\" where individuals formally declare their chosen redactions, and community members commit to upholding the \"blinder\" – refraining from revealing the known future to the redacting individual, even if they themselves know it. This transforms the act of creation, exploration, or relationship-building from a reenactment into an experience with subjectively genuine stakes, effort, and surprise, albeit within a universally known deterministic framework. The *choice* to be ignorant, even temporarily, becomes a deeply valued act of embracing human experience.\n",
      "\n",
      "**Justification:** This mechanism doesn't deny the underlying determinism but reclaims the *subjective experience* of uncertainty and discovery. It acknowledges that human flourishing isn't just about optimal outcomes, but about the *meaning derived from the process*. By allowing individuals to intentionally (and temporarily) *opt out* of knowing their own future in specific domains, it restores the psychological space for genuine effort, hope, and surprise, which are vital components of emotional well-being and a sense of purpose. It shifts the burden of the known future from a constant oppressive weight to a chosen, strategic tool.\n",
      "\n",
      "---\n",
      "\n",
      "### Non-Obvious Challenge 2: The Tyranny of the Optimal and the Devaluation of Divergence\n",
      "\n",
      "**Challenge Detail:**\n",
      "With perfect predictive accuracy, the \"optimal\" path for any individual – career, education, relationships, health, lifestyle – becomes definitively known. Society naturally and logically gravitates towards these optimal paths, as deviating would be seen as inefficient, irrational, or even irresponsible, leading to demonstrably worse outcomes. This creates immense societal pressure to conform to one's predicted optimal trajectory. The consequence is a profound devaluation of *divergent, suboptimal, or purely serendipitous* choices. Accidental discoveries, \"unprofitable\" hobbies that lead to unexpected personal growth, relationships that defy statistical odds but bring immense happiness, careers chosen for passion over predicted success – these might be suppressed or viewed as wasteful. Human flourishing thrives on variety, serendipity, and the freedom to experiment, even if it leads to perceived \"inefficiency\" or \"failure.\" A society where every choice is perfectly rational and optimal risks becoming sterile, homogenous, and stifling of the unique, sometimes illogical, forms of human expression and experience that enrich collective existence. The true value of an \"inefficient\" path that leads to unexpected wisdom, resilience, or a novel perspective could be lost.\n",
      "\n",
      "**Non-Obvious Societal Mechanism: \"The Serendipity Dividend\" and \"Narrative Curators\"**\n",
      "\n",
      "Aethel implements a \"Serendipity Dividend\" – a robust and prestigious societal program that actively funds, supports, and celebrates paths and projects specifically identified by the Chronos Engine as *non-optimal* or *divergent* from an individual's predicted peak efficiency or success. This isn't just welfare; it's a *deliberate investment* in human experiential diversity. Individuals who choose to consciously deviate from their predicted optimal path (e.g., an individual predicted to be a brilliant engineer choosing to pursue abstract art, or one predicted to remain single opting for a complex, statistically challenging relationship) are eligible for significant societal resources, mentorship, and public recognition.\n",
      "\n",
      "Furthermore, \"Narrative Curators\" are established as a respected profession. These individuals, using the Chronos Engine, identify and document the unique, unexpected, and often \"suboptimal\" journeys and their profound, often unpredictable, benefits to the individual and society. They create public narratives celebrating these choices, highlighting the wisdom gained from struggle, the beauty of the unexpected, and the novel insights that only arise from paths less traveled. This actively elevates the social status of divergence and serendipity.\n",
      "\n",
      "**Justification:** This mechanism directly counteracts the pressure to conform to \"the optimal.\" It institutionalizes the value of inefficiency, exploration, and unique personal journeys, recognizing that true flourishing encompasses more than just maximized outcomes. By providing resources and social prestige to those who choose divergent paths, it encourages a rich tapestry of human experience, fostering innovation, resilience, and a deeper understanding of human potential that might otherwise be overlooked by pure optimization. It preserves the vital human desire to explore, experiment, and define one's own path, even when a \"better\" one is known.\n",
      "\n",
      "---\n",
      "\n",
      "### Non-Obvious Challenge 3: The Predetermined Self and the Crisis of Genuine Connection\n",
      "\n",
      "**Challenge Detail:**\n",
      "If every future thought, feeling, and action of an individual is known to everyone, it creates a profound crisis of authenticity and genuine connection. How can trust be built if every future betrayal or affirmation is already public knowledge? How can empathy truly develop if one already knows the precise nature and duration of another's suffering or joy? Vulnerability, often key to deep human bonds, loses its meaning if there are no true unknowns to reveal. Individuals might feel they are merely acting out a script, not truly *being* themselves, but rather performing a known future. This impacts self-perception, leading to an \"existential echo chamber\" where one's self-image is constantly reflected back as a predetermined entity. The very spontaneity and unburdened sincerity crucial for developing genuine love, friendship, or even professional collaboration is undermined, as every interaction is tinged with the foreknowledge of its precise trajectory and outcome. The effort of truly listening, empathizing, or forgiving diminishes if the exact resolution is already known.\n",
      "\n",
      "**Non-Obvious Societal Mechanism: \"Prognostic Embodiment\" and \"Shared Unfolding Pods\"**\n",
      "\n",
      "Aethel develops \"Prognostic Embodiment\" experiences. These are not merely data readouts, but highly advanced, consensual, immersive simulations powered by the Chronos Engine, allowing individuals to temporarily *experience* the predicted future actions, motivations, and emotional states of others (or even their past selves at different developmental stages). This provides a far deeper form of empathy than mere intellectual knowledge. For example, a parent could experience their teenage child's predicted rebellious phase and its underlying anxieties, allowing them to approach it with pre-emptive understanding rather than reaction. This transforms foreknowledge from a barrier to a bridge of radical empathy.\n",
      "\n",
      "Furthermore, \"Shared Unfolding Pods\" are established. These are carefully curated, small, and private groups where individuals, knowing each other's full life prognoses, commit to a radical form of \"process-based authenticity.\" The focus shifts from the \"what\" (which is known) to the \"how\" and \"why\" – specifically, *how* each person will consciously navigate their known future, *why* they anticipate specific emotional responses, and *how* the group will collectively support each other through those predetermined events. Authenticity in these pods lies not in the revelation of an unknown future, but in the vulnerable, real-time sharing of one's internal experience *of living out* a known future. The effort of connection becomes about the shared emotional journey through predestination, offering mutual validation and support within a fully transparent framework.\n",
      "\n",
      "**Justification:** This mechanism redefines the basis of genuine connection and authenticity in a world without secrets. Prognostic Embodiment transforms abstract data into visceral understanding, fostering a deeper, more profound form of empathy than previously possible. Shared Unfolding Pods, meanwhile, shift the focus of authenticity from revealing unknown facets of self to transparently sharing one's internal navigation of a known destiny. It allows for a new kind of trust and intimacy, born not from ignorance but from a shared, deep understanding of each other's pre-written paths and the human experience of living them out. It transforms the burden of the predetermined self into a unique opportunity for unparalleled collective consciousness and emotional resonance.\n",
      "\n",
      "\n",
      "\n",
      "Now respond with the JSON with the ranked order of the competitors, nothing else. Do not include markdown formatting or code blocks.\n"
     ]
    }
   ],
   "source": [
    "print(judge)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 21,
   "metadata": {},
   "outputs": [],
   "source": [
    "judge_messages = [{\"role\": \"user\", \"content\": judge}]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 27,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "[{'role': 'user', 'content': 'You are judging a competition between 1 competitors.\\nEach model has been given this question:\\n\\nDesign a societal framework where perfect predictive accuracy of individual actions is possible but universally known. Detail three *non-obvious* challenges this knowledge would create for human flourishing, and propose a corresponding *non-obvious* societal mechanism to mitigate each challenge, justifying your choices.\\n\\nYour job is to evaluate each response for clarity and strength of argument, and rank them in order of best to worst.\\nRespond with JSON, and only JSON, with the following format:\\n{\"results\": [\"best competitor number\", \"second best competitor number\", \"third best competitor number\", ...]}\\n\\nHere are the responses from each competitor:\\n\\n# Response from competitor 1\\n\\nImagine a societal framework, let\\'s call it \"Aethel,\" where a global, decentralized AI network, \"The Chronos Engine,\" possesses perfect predictive accuracy for all individual actions, large and small, from the moment of birth until death. This prediction is not just a probability; it\\'s a certainty, derived from an unimaginably complex understanding of physics, biology, psychology, and environment. Crucially, this predictive data, encompassing every individual\\'s life trajectory, choices, and their ripple effects, is universally accessible and verifiable. There are no secrets about anyone\\'s future actions, nor about the ultimate outcome of any endeavor. The knowledge is ubiquitous and undeniable.\\n\\nWhile this system eliminates crime (as any illicit act would be known and thus preemptively averted or its consequences perfectly managed), optimizes resource allocation, and maximizes efficiency in most aspects of life, it introduces profound and non-obvious challenges to the very core of human flourishing:\\n\\n---\\n\\n### Non-Obvious Challenge 1: The Erosion of Experiential Value and the Burden of the Known Journey\\n\\n**Challenge Detail:**\\nIn Aethel, the joy of discovery, the thrill of unexpected success, the pride of overcoming a daunting struggle, or the profound grief of an unforeseen loss are profoundly diminished. If an artist knows their masterpiece will fail to resonate, will they create it with the same passion? If an explorer knows the exact outcome and route of their expedition, where is the sense of true adventure? If parents know every future joy and sorrow of their child, does the unpredictable magic of raising them transform into merely watching a predetermined script unfold? The *experiential value* of the journey itself – the struggle, the uncertainty, the hope, the surprise – is critically undermined. Humans thrive on the *unfolding* of life, the feeling that their efforts *matter* in shaping an unknown future. When all is known, the \"future\" becomes a \"present\" that just hasn\\'t happened yet, turning life into a series of highly detailed reenactments, potentially leading to widespread apathy, existential boredom, and a profound sense of futility, despite optimal outcomes. It\\'s not just about free will (a philosophical debate), but about the *psychological and emotional engagement* with life\\'s processes.\\n\\n**Non-Obvious Societal Mechanism: \"Temporal Blinders\" and \"Conscious Unknowing Rituals\"**\\n\\nTo mitigate this, Aethel implements a system of \"Temporal Blinders.\" While the Chronos Engine knows everything, individuals can opt to redact specific periods of their *own* predictive data from their *personal* access, and from the general public. For instance, an artist can choose to redact the outcome of their next creative project for the duration of its creation and initial reception; a couple can redact the exact trajectory of their relationship for the first year; an individual facing a personal challenge can redact their specific steps and the immediate outcome for a defined period.\\n\\nCrucially, this redaction doesn\\'t erase the knowledge from the system or others; it simply makes it inaccessible to the *individual* making the choice, and to those *directly involved* who also consent to the redaction. This creates pockets of *personal, consensual \"unknowing\"*. Society holds \"Conscious Unknowing Rituals\" where individuals formally declare their chosen redactions, and community members commit to upholding the \"blinder\" – refraining from revealing the known future to the redacting individual, even if they themselves know it. This transforms the act of creation, exploration, or relationship-building from a reenactment into an experience with subjectively genuine stakes, effort, and surprise, albeit within a universally known deterministic framework. The *choice* to be ignorant, even temporarily, becomes a deeply valued act of embracing human experience.\\n\\n**Justification:** This mechanism doesn\\'t deny the underlying determinism but reclaims the *subjective experience* of uncertainty and discovery. It acknowledges that human flourishing isn\\'t just about optimal outcomes, but about the *meaning derived from the process*. By allowing individuals to intentionally (and temporarily) *opt out* of knowing their own future in specific domains, it restores the psychological space for genuine effort, hope, and surprise, which are vital components of emotional well-being and a sense of purpose. It shifts the burden of the known future from a constant oppressive weight to a chosen, strategic tool.\\n\\n---\\n\\n### Non-Obvious Challenge 2: The Tyranny of the Optimal and the Devaluation of Divergence\\n\\n**Challenge Detail:**\\nWith perfect predictive accuracy, the \"optimal\" path for any individual – career, education, relationships, health, lifestyle – becomes definitively known. Society naturally and logically gravitates towards these optimal paths, as deviating would be seen as inefficient, irrational, or even irresponsible, leading to demonstrably worse outcomes. This creates immense societal pressure to conform to one\\'s predicted optimal trajectory. The consequence is a profound devaluation of *divergent, suboptimal, or purely serendipitous* choices. Accidental discoveries, \"unprofitable\" hobbies that lead to unexpected personal growth, relationships that defy statistical odds but bring immense happiness, careers chosen for passion over predicted success – these might be suppressed or viewed as wasteful. Human flourishing thrives on variety, serendipity, and the freedom to experiment, even if it leads to perceived \"inefficiency\" or \"failure.\" A society where every choice is perfectly rational and optimal risks becoming sterile, homogenous, and stifling of the unique, sometimes illogical, forms of human expression and experience that enrich collective existence. The true value of an \"inefficient\" path that leads to unexpected wisdom, resilience, or a novel perspective could be lost.\\n\\n**Non-Obvious Societal Mechanism: \"The Serendipity Dividend\" and \"Narrative Curators\"**\\n\\nAethel implements a \"Serendipity Dividend\" – a robust and prestigious societal program that actively funds, supports, and celebrates paths and projects specifically identified by the Chronos Engine as *non-optimal* or *divergent* from an individual\\'s predicted peak efficiency or success. This isn\\'t just welfare; it\\'s a *deliberate investment* in human experiential diversity. Individuals who choose to consciously deviate from their predicted optimal path (e.g., an individual predicted to be a brilliant engineer choosing to pursue abstract art, or one predicted to remain single opting for a complex, statistically challenging relationship) are eligible for significant societal resources, mentorship, and public recognition.\\n\\nFurthermore, \"Narrative Curators\" are established as a respected profession. These individuals, using the Chronos Engine, identify and document the unique, unexpected, and often \"suboptimal\" journeys and their profound, often unpredictable, benefits to the individual and society. They create public narratives celebrating these choices, highlighting the wisdom gained from struggle, the beauty of the unexpected, and the novel insights that only arise from paths less traveled. This actively elevates the social status of divergence and serendipity.\\n\\n**Justification:** This mechanism directly counteracts the pressure to conform to \"the optimal.\" It institutionalizes the value of inefficiency, exploration, and unique personal journeys, recognizing that true flourishing encompasses more than just maximized outcomes. By providing resources and social prestige to those who choose divergent paths, it encourages a rich tapestry of human experience, fostering innovation, resilience, and a deeper understanding of human potential that might otherwise be overlooked by pure optimization. It preserves the vital human desire to explore, experiment, and define one\\'s own path, even when a \"better\" one is known.\\n\\n---\\n\\n### Non-Obvious Challenge 3: The Predetermined Self and the Crisis of Genuine Connection\\n\\n**Challenge Detail:**\\nIf every future thought, feeling, and action of an individual is known to everyone, it creates a profound crisis of authenticity and genuine connection. How can trust be built if every future betrayal or affirmation is already public knowledge? How can empathy truly develop if one already knows the precise nature and duration of another\\'s suffering or joy? Vulnerability, often key to deep human bonds, loses its meaning if there are no true unknowns to reveal. Individuals might feel they are merely acting out a script, not truly *being* themselves, but rather performing a known future. This impacts self-perception, leading to an \"existential echo chamber\" where one\\'s self-image is constantly reflected back as a predetermined entity. The very spontaneity and unburdened sincerity crucial for developing genuine love, friendship, or even professional collaboration is undermined, as every interaction is tinged with the foreknowledge of its precise trajectory and outcome. The effort of truly listening, empathizing, or forgiving diminishes if the exact resolution is already known.\\n\\n**Non-Obvious Societal Mechanism: \"Prognostic Embodiment\" and \"Shared Unfolding Pods\"**\\n\\nAethel develops \"Prognostic Embodiment\" experiences. These are not merely data readouts, but highly advanced, consensual, immersive simulations powered by the Chronos Engine, allowing individuals to temporarily *experience* the predicted future actions, motivations, and emotional states of others (or even their past selves at different developmental stages). This provides a far deeper form of empathy than mere intellectual knowledge. For example, a parent could experience their teenage child\\'s predicted rebellious phase and its underlying anxieties, allowing them to approach it with pre-emptive understanding rather than reaction. This transforms foreknowledge from a barrier to a bridge of radical empathy.\\n\\nFurthermore, \"Shared Unfolding Pods\" are established. These are carefully curated, small, and private groups where individuals, knowing each other\\'s full life prognoses, commit to a radical form of \"process-based authenticity.\" The focus shifts from the \"what\" (which is known) to the \"how\" and \"why\" – specifically, *how* each person will consciously navigate their known future, *why* they anticipate specific emotional responses, and *how* the group will collectively support each other through those predetermined events. Authenticity in these pods lies not in the revelation of an unknown future, but in the vulnerable, real-time sharing of one\\'s internal experience *of living out* a known future. The effort of connection becomes about the shared emotional journey through predestination, offering mutual validation and support within a fully transparent framework.\\n\\n**Justification:** This mechanism redefines the basis of genuine connection and authenticity in a world without secrets. Prognostic Embodiment transforms abstract data into visceral understanding, fostering a deeper, more profound form of empathy than previously possible. Shared Unfolding Pods, meanwhile, shift the focus of authenticity from revealing unknown facets of self to transparently sharing one\\'s internal navigation of a known destiny. It allows for a new kind of trust and intimacy, born not from ignorance but from a shared, deep understanding of each other\\'s pre-written paths and the human experience of living them out. It transforms the burden of the predetermined self into a unique opportunity for unparalleled collective consciousness and emotional resonance.\\n\\n\\n\\nNow respond with the JSON with the ranked order of the competitors, nothing else. Do not include markdown formatting or code blocks.'}]\n"
     ]
    }
   ],
   "source": [
    "print(judge_messages)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "# Judgement time!\n",
    "\n",
    "openai = OpenAI()\n",
    "response = openai.chat.completions.create(\n",
    "    model=\"gpt-5-mini\",\n",
    "    messages=judge_messages,\n",
    ")\n",
    "results = response.choices[0].message.content\n",
    "print(results)\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 24,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "{\"results\": [\"1\"]}\n"
     ]
    }
   ],
   "source": [
    "gemini = OpenAI(api_key=google_api_key, base_url=\"https://generativelanguage.googleapis.com/v1beta/openai/\")\n",
    "model_name = \"gemini-2.5-flash\"\n",
    "response = gemini.chat.completions.create(\n",
    "    model=model_name,\n",
    "    messages = judge_messages,\n",
    ")\n",
    "results = response.choices[0].message.content\n",
    "print(results)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 25,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Rank 1: gemini-2.5-flash\n"
     ]
    }
   ],
   "source": [
    "# OK let's turn this into results!\n",
    "\n",
    "results_dict = json.loads(results)\n",
    "ranks = results_dict[\"results\"]\n",
    "for index, result in enumerate(ranks):\n",
    "    competitor = competitors[int(result)-1]\n",
    "    print(f\"Rank {index+1}: {competitor}\")"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "<table style=\"margin: 0; text-align: left; width:100%\">\n",
    "    <tr>\n",
    "        <td style=\"width: 150px; height: 150px; vertical-align: middle;\">\n",
    "            <img src=\"../assets/exercise.png\" width=\"150\" height=\"150\" style=\"display: block;\" />\n",
    "        </td>\n",
    "        <td>\n",
    "            <h2 style=\"color:#ff7800;\">Exercise</h2>\n",
    "            <span style=\"color:#ff7800;\">Which pattern(s) did this use? Try updating this to add another Agentic design pattern.\n",
    "            </span>\n",
    "        </td>\n",
    "    </tr>\n",
    "</table>"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "<table style=\"margin: 0; text-align: left; width:100%\">\n",
    "    <tr>\n",
    "        <td style=\"width: 150px; height: 150px; vertical-align: middle;\">\n",
    "            <img src=\"../assets/business.png\" width=\"150\" height=\"150\" style=\"display: block;\" />\n",
    "        </td>\n",
    "        <td>\n",
    "            <h2 style=\"color:#00bfff;\">Commercial implications</h2>\n",
    "            <span style=\"color:#00bfff;\">These kinds of patterns - to send a task to multiple models, and evaluate results,\n",
    "            are common where you need to improve the quality of your LLM response. This approach can be universally applied\n",
    "            to business projects where accuracy is critical.\n",
    "            </span>\n",
    "        </td>\n",
    "    </tr>\n",
    "</table>"
   ]
  }
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