openAI.ipynb

{
 "cells": [
  {
   "cell_type": "code",
   "execution_count": 10,
   "metadata": {},
   "outputs": [],
   "source": [
    "import openai\n",
    "from openai import OpenAI\n",
    "# from constant import openai_key\n",
    "\n",
    "api_key='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'\n",
    "client = OpenAI(api_key=api_key)\n",
    "\n",
    "# OpenAI.api_key = api_key\n",
    "# client = OpenAI()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 17,
   "metadata": {},
   "outputs": [
    {
     "ename": "BadRequestError",
     "evalue": "Error code: 400 - {'error': {'message': \"The requested model 'gpt-4-1106-preview' does not exist.\", 'type': 'invalid_request_error', 'param': 'model', 'code': 'model_not_found'}}",
     "output_type": "error",
     "traceback": [
      "\u001b[0;31m---------------------------------------------------------------------------\u001b[0m",
      "\u001b[0;31mBadRequestError\u001b[0m                           Traceback (most recent call last)",
      "Cell \u001b[0;32mIn[17], line 1\u001b[0m\n\u001b[0;32m----> 1\u001b[0m assistant \u001b[38;5;241m=\u001b[39m \u001b[43mclient\u001b[49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43mbeta\u001b[49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43massistants\u001b[49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43mcreate\u001b[49m\u001b[43m(\u001b[49m\n\u001b[1;32m      2\u001b[0m \u001b[43m    \u001b[49m\u001b[43mname\u001b[49m\u001b[38;5;241;43m=\u001b[39;49m\u001b[38;5;124;43m\"\u001b[39;49m\u001b[38;5;124;43mMath Tutor\u001b[39;49m\u001b[38;5;124;43m\"\u001b[39;49m\u001b[43m,\u001b[49m\n\u001b[1;32m      3\u001b[0m \u001b[43m    \u001b[49m\u001b[43minstructions\u001b[49m\u001b[38;5;241;43m=\u001b[39;49m\u001b[38;5;124;43m\"\u001b[39;49m\u001b[38;5;124;43mYou are a personal math tutor. Answer questions briefly, in a sentence or less.\u001b[39;49m\u001b[38;5;124;43m\"\u001b[39;49m\u001b[43m,\u001b[49m\n\u001b[1;32m      4\u001b[0m \u001b[43m    \u001b[49m\u001b[43mmodel\u001b[49m\u001b[38;5;241;43m=\u001b[39;49m\u001b[38;5;124;43m\"\u001b[39;49m\u001b[38;5;124;43mgpt-4-1106-preview\u001b[39;49m\u001b[38;5;124;43m\"\u001b[39;49m\u001b[43m,\u001b[49m\n\u001b[1;32m      5\u001b[0m \u001b[43m)\u001b[49m\n",
      "File \u001b[0;32m/Library/Frameworks/Python.framework/Versions/3.9/lib/python3.9/site-packages/openai/resources/beta/assistants/assistants.py:108\u001b[0m, in \u001b[0;36mAssistants.create\u001b[0;34m(self, model, description, file_ids, instructions, metadata, name, tools, extra_headers, extra_query, extra_body, timeout)\u001b[0m\n\u001b[1;32m     70\u001b[0m \u001b[39m\"\"\"\u001b[39;00m\n\u001b[1;32m     71\u001b[0m \u001b[39mCreate an assistant with a model and instructions.\u001b[39;00m\n\u001b[1;32m     72\u001b[0m \n\u001b[0;32m   (...)\u001b[0m\n\u001b[1;32m    105\u001b[0m \u001b[39m  timeout: Override the client-level default timeout for this request, in seconds\u001b[39;00m\n\u001b[1;32m    106\u001b[0m \u001b[39m\"\"\"\u001b[39;00m\n\u001b[1;32m    107\u001b[0m extra_headers \u001b[39m=\u001b[39m {\u001b[39m\"\u001b[39m\u001b[39mOpenAI-Beta\u001b[39m\u001b[39m\"\u001b[39m: \u001b[39m\"\u001b[39m\u001b[39massistants=v1\u001b[39m\u001b[39m\"\u001b[39m, \u001b[39m*\u001b[39m\u001b[39m*\u001b[39m(extra_headers \u001b[39mor\u001b[39;00m {})}\n\u001b[0;32m--> 108\u001b[0m \u001b[39mreturn\u001b[39;00m \u001b[39mself\u001b[39;49m\u001b[39m.\u001b[39;49m_post(\n\u001b[1;32m    109\u001b[0m     \u001b[39m\"\u001b[39;49m\u001b[39m/assistants\u001b[39;49m\u001b[39m\"\u001b[39;49m,\n\u001b[1;32m    110\u001b[0m     body\u001b[39m=\u001b[39;49mmaybe_transform(\n\u001b[1;32m    111\u001b[0m         {\n\u001b[1;32m    112\u001b[0m             \u001b[39m\"\u001b[39;49m\u001b[39mmodel\u001b[39;49m\u001b[39m\"\u001b[39;49m: model,\n\u001b[1;32m    113\u001b[0m             \u001b[39m\"\u001b[39;49m\u001b[39mdescription\u001b[39;49m\u001b[39m\"\u001b[39;49m: description,\n\u001b[1;32m    114\u001b[0m             \u001b[39m\"\u001b[39;49m\u001b[39mfile_ids\u001b[39;49m\u001b[39m\"\u001b[39;49m: file_ids,\n\u001b[1;32m    115\u001b[0m             \u001b[39m\"\u001b[39;49m\u001b[39minstructions\u001b[39;49m\u001b[39m\"\u001b[39;49m: instructions,\n\u001b[1;32m    116\u001b[0m             \u001b[39m\"\u001b[39;49m\u001b[39mmetadata\u001b[39;49m\u001b[39m\"\u001b[39;49m: metadata,\n\u001b[1;32m    117\u001b[0m             \u001b[39m\"\u001b[39;49m\u001b[39mname\u001b[39;49m\u001b[39m\"\u001b[39;49m: name,\n\u001b[1;32m    118\u001b[0m             \u001b[39m\"\u001b[39;49m\u001b[39mtools\u001b[39;49m\u001b[39m\"\u001b[39;49m: tools,\n\u001b[1;32m    119\u001b[0m         },\n\u001b[1;32m    120\u001b[0m         assistant_create_params\u001b[39m.\u001b[39;49mAssistantCreateParams,\n\u001b[1;32m    121\u001b[0m     ),\n\u001b[1;32m    122\u001b[0m     options\u001b[39m=\u001b[39;49mmake_request_options(\n\u001b[1;32m    123\u001b[0m         extra_headers\u001b[39m=\u001b[39;49mextra_headers, extra_query\u001b[39m=\u001b[39;49mextra_query, extra_body\u001b[39m=\u001b[39;49mextra_body, timeout\u001b[39m=\u001b[39;49mtimeout\n\u001b[1;32m    124\u001b[0m     ),\n\u001b[1;32m    125\u001b[0m     cast_to\u001b[39m=\u001b[39;49mAssistant,\n\u001b[1;32m    126\u001b[0m )\n",
      "File \u001b[0;32m/Library/Frameworks/Python.framework/Versions/3.9/lib/python3.9/site-packages/openai/_base_client.py:1167\u001b[0m, in \u001b[0;36mSyncAPIClient.post\u001b[0;34m(self, path, cast_to, body, options, files, stream, stream_cls)\u001b[0m\n\u001b[1;32m   1153\u001b[0m \u001b[39mdef\u001b[39;00m \u001b[39mpost\u001b[39m(\n\u001b[1;32m   1154\u001b[0m     \u001b[39mself\u001b[39m,\n\u001b[1;32m   1155\u001b[0m     path: \u001b[39mstr\u001b[39m,\n\u001b[0;32m   (...)\u001b[0m\n\u001b[1;32m   1162\u001b[0m     stream_cls: \u001b[39mtype\u001b[39m[_StreamT] \u001b[39m|\u001b[39m \u001b[39mNone\u001b[39;00m \u001b[39m=\u001b[39m \u001b[39mNone\u001b[39;00m,\n\u001b[1;32m   1163\u001b[0m ) \u001b[39m-\u001b[39m\u001b[39m>\u001b[39m ResponseT \u001b[39m|\u001b[39m _StreamT:\n\u001b[1;32m   1164\u001b[0m     opts \u001b[39m=\u001b[39m FinalRequestOptions\u001b[39m.\u001b[39mconstruct(\n\u001b[1;32m   1165\u001b[0m         method\u001b[39m=\u001b[39m\u001b[39m\"\u001b[39m\u001b[39mpost\u001b[39m\u001b[39m\"\u001b[39m, url\u001b[39m=\u001b[39mpath, json_data\u001b[39m=\u001b[39mbody, files\u001b[39m=\u001b[39mto_httpx_files(files), \u001b[39m*\u001b[39m\u001b[39m*\u001b[39moptions\n\u001b[1;32m   1166\u001b[0m     )\n\u001b[0;32m-> 1167\u001b[0m     \u001b[39mreturn\u001b[39;00m cast(ResponseT, \u001b[39mself\u001b[39;49m\u001b[39m.\u001b[39;49mrequest(cast_to, opts, stream\u001b[39m=\u001b[39;49mstream, stream_cls\u001b[39m=\u001b[39;49mstream_cls))\n",
      "File \u001b[0;32m/Library/Frameworks/Python.framework/Versions/3.9/lib/python3.9/site-packages/openai/_base_client.py:856\u001b[0m, in \u001b[0;36mSyncAPIClient.request\u001b[0;34m(self, cast_to, options, remaining_retries, stream, stream_cls)\u001b[0m\n\u001b[1;32m    847\u001b[0m \u001b[39mdef\u001b[39;00m \u001b[39mrequest\u001b[39m(\n\u001b[1;32m    848\u001b[0m     \u001b[39mself\u001b[39m,\n\u001b[1;32m    849\u001b[0m     cast_to: Type[ResponseT],\n\u001b[0;32m   (...)\u001b[0m\n\u001b[1;32m    854\u001b[0m     stream_cls: \u001b[39mtype\u001b[39m[_StreamT] \u001b[39m|\u001b[39m \u001b[39mNone\u001b[39;00m \u001b[39m=\u001b[39m \u001b[39mNone\u001b[39;00m,\n\u001b[1;32m    855\u001b[0m ) \u001b[39m-\u001b[39m\u001b[39m>\u001b[39m ResponseT \u001b[39m|\u001b[39m _StreamT:\n\u001b[0;32m--> 856\u001b[0m     \u001b[39mreturn\u001b[39;00m \u001b[39mself\u001b[39;49m\u001b[39m.\u001b[39;49m_request(\n\u001b[1;32m    857\u001b[0m         cast_to\u001b[39m=\u001b[39;49mcast_to,\n\u001b[1;32m    858\u001b[0m         options\u001b[39m=\u001b[39;49moptions,\n\u001b[1;32m    859\u001b[0m         stream\u001b[39m=\u001b[39;49mstream,\n\u001b[1;32m    860\u001b[0m         stream_cls\u001b[39m=\u001b[39;49mstream_cls,\n\u001b[1;32m    861\u001b[0m         remaining_retries\u001b[39m=\u001b[39;49mremaining_retries,\n\u001b[1;32m    862\u001b[0m     )\n",
      "File \u001b[0;32m/Library/Frameworks/Python.framework/Versions/3.9/lib/python3.9/site-packages/openai/_base_client.py:947\u001b[0m, in \u001b[0;36mSyncAPIClient._request\u001b[0;34m(self, cast_to, options, remaining_retries, stream, stream_cls)\u001b[0m\n\u001b[1;32m    944\u001b[0m         err\u001b[39m.\u001b[39mresponse\u001b[39m.\u001b[39mread()\n\u001b[1;32m    946\u001b[0m     log\u001b[39m.\u001b[39mdebug(\u001b[39m\"\u001b[39m\u001b[39mRe-raising status error\u001b[39m\u001b[39m\"\u001b[39m)\n\u001b[0;32m--> 947\u001b[0m     \u001b[39mraise\u001b[39;00m \u001b[39mself\u001b[39m\u001b[39m.\u001b[39m_make_status_error_from_response(err\u001b[39m.\u001b[39mresponse) \u001b[39mfrom\u001b[39;00m \u001b[39mNone\u001b[39m\n\u001b[1;32m    949\u001b[0m \u001b[39mreturn\u001b[39;00m \u001b[39mself\u001b[39m\u001b[39m.\u001b[39m_process_response(\n\u001b[1;32m    950\u001b[0m     cast_to\u001b[39m=\u001b[39mcast_to,\n\u001b[1;32m    951\u001b[0m     options\u001b[39m=\u001b[39moptions,\n\u001b[0;32m   (...)\u001b[0m\n\u001b[1;32m    954\u001b[0m     stream_cls\u001b[39m=\u001b[39mstream_cls,\n\u001b[1;32m    955\u001b[0m )\n",
      "\u001b[0;31mBadRequestError\u001b[0m: Error code: 400 - {'error': {'message': \"The requested model 'gpt-4-1106-preview' does not exist.\", 'type': 'invalid_request_error', 'param': 'model', 'code': 'model_not_found'}}"
     ]
    }
   ],
   "source": [
    "assistant = client.beta.assistants.create(\n",
    "    name=\"Math Tutor\",\n",
    "    instructions=\"You are a personal math tutor. Answer questions briefly, in a sentence or less.\",\n",
    "    model=\"gpt-4-1106-preview\",\n",
    ")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 12,
   "metadata": {},
   "outputs": [
    {
     "ename": "AttributeError",
     "evalue": "type object 'OpenAI' has no attribute 'chat'",
     "output_type": "error",
     "traceback": [
      "\u001b[0;31m---------------------------------------------------------------------------\u001b[0m",
      "\u001b[0;31mAttributeError\u001b[0m                            Traceback (most recent call last)",
      "Cell \u001b[0;32mIn[12], line 1\u001b[0m\n\u001b[0;32m----> 1\u001b[0m completion\u001b[38;5;241m=\u001b[39m\u001b[43mclient\u001b[49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43mchat\u001b[49m\u001b[38;5;241m.\u001b[39mcompletions\u001b[38;5;241m.\u001b[39mcreate(\n\u001b[1;32m      2\u001b[0m     model\u001b[38;5;241m=\u001b[39m\u001b[38;5;124m\"\u001b[39m\u001b[38;5;124mgpt-3.5-turbo\u001b[39m\u001b[38;5;124m\"\u001b[39m,\n\u001b[1;32m      3\u001b[0m     messages\u001b[38;5;241m=\u001b[39m[\n\u001b[1;32m      4\u001b[0m         {\u001b[38;5;124m\"\u001b[39m\u001b[38;5;124mrole\u001b[39m\u001b[38;5;124m\"\u001b[39m: \u001b[38;5;124m\"\u001b[39m\u001b[38;5;124msystem\u001b[39m\u001b[38;5;124m\"\u001b[39m, \u001b[38;5;124m\"\u001b[39m\u001b[38;5;124mcontent\u001b[39m\u001b[38;5;124m\"\u001b[39m: \u001b[38;5;124m\"\u001b[39m\u001b[38;5;124mYou are a assistant which informs about temperature.\u001b[39m\u001b[38;5;124m\"\u001b[39m},\n\u001b[1;32m      5\u001b[0m         {\u001b[38;5;124m\"\u001b[39m\u001b[38;5;124mrole\u001b[39m\u001b[38;5;124m\"\u001b[39m: \u001b[38;5;124m\"\u001b[39m\u001b[38;5;124muser\u001b[39m\u001b[38;5;124m\"\u001b[39m, \u001b[38;5;124m\"\u001b[39m\u001b[38;5;124mcontent\u001b[39m\u001b[38;5;124m\"\u001b[39m: \u001b[38;5;124m\"\u001b[39m\u001b[38;5;124mHey there\u001b[39m\u001b[38;5;124m\"\u001b[39m}\n\u001b[1;32m      6\u001b[0m     ]\n\u001b[1;32m      7\u001b[0m )\n",
      "\u001b[0;31mAttributeError\u001b[0m: type object 'OpenAI' has no attribute 'chat'"
     ]
    }
   ],
   "source": [
    "completion=client.chat.completions.create(\n",
    "    model=\"gpt-3.5-turbo\",\n",
    "    messages=[\n",
    "        {\"role\": \"system\", \"content\": \"You are a assistant which informs about temperature.\"},\n",
    "        {\"role\": \"user\", \"content\": \"Hey there\"}\n",
    "    ]\n",
    ")\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "print(completion.choices[0].message)"
   ]
  }
 ],
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