{
 "cells": [
  {
   "cell_type": "code",
   "execution_count": 1,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Defaulting to user installation because normal site-packages is not writeable\n",
      "Requirement already satisfied: litellm==0.1.723 in /Users/ishaanjaffer/Library/Python/3.9/lib/python/site-packages (0.1.723)\n",
      "Requirement already satisfied: importlib-metadata<7.0.0,>=6.8.0 in /Users/ishaanjaffer/Library/Python/3.9/lib/python/site-packages (from litellm==0.1.723) (6.8.0)\n",
      "Requirement already satisfied: openai<0.29.0,>=0.27.0 in /Users/ishaanjaffer/Library/Python/3.9/lib/python/site-packages (from litellm==0.1.723) (0.28.0)\n",
      "Requirement already satisfied: python-dotenv>=0.2.0 in /Users/ishaanjaffer/Library/Python/3.9/lib/python/site-packages (from litellm==0.1.723) (1.0.0)\n",
      "Requirement already satisfied: tiktoken<0.5.0,>=0.4.0 in /Users/ishaanjaffer/Library/Python/3.9/lib/python/site-packages (from litellm==0.1.723) (0.4.0)\n",
      "Requirement already satisfied: zipp>=0.5 in /Users/ishaanjaffer/Library/Python/3.9/lib/python/site-packages (from importlib-metadata<7.0.0,>=6.8.0->litellm==0.1.723) (3.15.0)\n",
      "Requirement already satisfied: requests>=2.20 in /Users/ishaanjaffer/Library/Python/3.9/lib/python/site-packages (from openai<0.29.0,>=0.27.0->litellm==0.1.723) (2.28.2)\n",
      "Requirement already satisfied: tqdm in /Users/ishaanjaffer/Library/Python/3.9/lib/python/site-packages (from openai<0.29.0,>=0.27.0->litellm==0.1.723) (4.65.0)\n",
      "Requirement already satisfied: aiohttp in /Users/ishaanjaffer/Library/Python/3.9/lib/python/site-packages (from openai<0.29.0,>=0.27.0->litellm==0.1.723) (3.8.4)\n",
      "Requirement already satisfied: regex>=2022.1.18 in /Users/ishaanjaffer/Library/Python/3.9/lib/python/site-packages (from tiktoken<0.5.0,>=0.4.0->litellm==0.1.723) (2023.6.3)\n",
      "Requirement already satisfied: charset-normalizer<4,>=2 in /Users/ishaanjaffer/Library/Python/3.9/lib/python/site-packages (from requests>=2.20->openai<0.29.0,>=0.27.0->litellm==0.1.723) (3.1.0)\n",
      "Requirement already satisfied: idna<4,>=2.5 in /Users/ishaanjaffer/Library/Python/3.9/lib/python/site-packages (from requests>=2.20->openai<0.29.0,>=0.27.0->litellm==0.1.723) (3.4)\n",
      "Requirement already satisfied: urllib3<1.27,>=1.21.1 in /Users/ishaanjaffer/Library/Python/3.9/lib/python/site-packages (from requests>=2.20->openai<0.29.0,>=0.27.0->litellm==0.1.723) (1.26.6)\n",
      "Requirement already satisfied: certifi>=2017.4.17 in /Users/ishaanjaffer/Library/Python/3.9/lib/python/site-packages (from requests>=2.20->openai<0.29.0,>=0.27.0->litellm==0.1.723) (2023.5.7)\n",
      "Requirement already satisfied: attrs>=17.3.0 in /Users/ishaanjaffer/Library/Python/3.9/lib/python/site-packages (from aiohttp->openai<0.29.0,>=0.27.0->litellm==0.1.723) (23.1.0)\n",
      "Requirement already satisfied: multidict<7.0,>=4.5 in /Users/ishaanjaffer/Library/Python/3.9/lib/python/site-packages (from aiohttp->openai<0.29.0,>=0.27.0->litellm==0.1.723) (6.0.4)\n",
      "Requirement already satisfied: async-timeout<5.0,>=4.0.0a3 in /Users/ishaanjaffer/Library/Python/3.9/lib/python/site-packages (from aiohttp->openai<0.29.0,>=0.27.0->litellm==0.1.723) (4.0.2)\n",
      "Requirement already satisfied: yarl<2.0,>=1.0 in /Users/ishaanjaffer/Library/Python/3.9/lib/python/site-packages (from aiohttp->openai<0.29.0,>=0.27.0->litellm==0.1.723) (1.9.2)\n",
      "Requirement already satisfied: frozenlist>=1.1.1 in /Users/ishaanjaffer/Library/Python/3.9/lib/python/site-packages (from aiohttp->openai<0.29.0,>=0.27.0->litellm==0.1.723) (1.3.3)\n",
      "Requirement already satisfied: aiosignal>=1.1.2 in /Users/ishaanjaffer/Library/Python/3.9/lib/python/site-packages (from aiohttp->openai<0.29.0,>=0.27.0->litellm==0.1.723) (1.3.1)\n",
      "Defaulting to user installation because normal site-packages is not writeable\n",
      "Requirement already satisfied: async_generator in /Users/ishaanjaffer/Library/Python/3.9/lib/python/site-packages (1.10)\n"
     ]
    }
   ],
   "source": [
    "!pip install litellm==0.1.723\n",
    "!pip install async_generator"
   ]
  },
  {
   "attachments": {},
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Call Ollama - llama2"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "<generator object get_ollama_response_stream at 0x108e16740>\n",
      "{'role': 'assistant', 'content': ' I'}\n",
      "{'role': 'assistant', 'content': ' am'}\n",
      "{'role': 'assistant', 'content': ' L'}\n",
      "{'role': 'assistant', 'content': 'La'}\n",
      "{'role': 'assistant', 'content': 'MA'}\n",
      "{'role': 'assistant', 'content': ','}\n",
      "{'role': 'assistant', 'content': ' an'}\n",
      "{'role': 'assistant', 'content': ' A'}\n",
      "{'role': 'assistant', 'content': 'I'}\n",
      "{'role': 'assistant', 'content': ' assistant'}\n",
      "{'role': 'assistant', 'content': ' developed'}\n",
      "{'role': 'assistant', 'content': ' by'}\n",
      "{'role': 'assistant', 'content': ' Meta'}\n",
      "{'role': 'assistant', 'content': ' A'}\n",
      "{'role': 'assistant', 'content': 'I'}\n",
      "{'role': 'assistant', 'content': ' that'}\n",
      "{'role': 'assistant', 'content': ' can'}\n",
      "{'role': 'assistant', 'content': ' understand'}\n",
      "{'role': 'assistant', 'content': ' and'}\n",
      "{'role': 'assistant', 'content': ' respond'}\n",
      "{'role': 'assistant', 'content': ' to'}\n",
      "{'role': 'assistant', 'content': ' human'}\n",
      "{'role': 'assistant', 'content': ' input'}\n",
      "{'role': 'assistant', 'content': ' in'}\n",
      "{'role': 'assistant', 'content': ' a'}\n",
      "{'role': 'assistant', 'content': ' convers'}\n",
      "{'role': 'assistant', 'content': 'ational'}\n",
      "{'role': 'assistant', 'content': ' manner'}\n",
      "{'role': 'assistant', 'content': '.'}\n"
     ]
    }
   ],
   "source": [
    "from litellm import completion\n",
    "\n",
    "response = completion(\n",
    "    model=\"ollama/llama2\", \n",
    "    messages=[{ \"content\": \"respond in 20 words. who are you?\",\"role\": \"user\"}], \n",
    "    api_base=\"http://localhost:11434\", \n",
    "    stream=True\n",
    ")\n",
    "print(response)\n",
    "for chunk in response:\n",
    "    print(chunk['choices'][0]['delta'])\n"
   ]
  },
  {
   "attachments": {},
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Call Ollama - Llama2 with Acompletion + Streaming"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "{'choices': [{'delta': {'role': 'assistant', 'content': ' I'}}]}\n",
      "{'choices': [{'delta': {'role': 'assistant', 'content': ' am'}}]}\n",
      "{'choices': [{'delta': {'role': 'assistant', 'content': ' a'}}]}\n",
      "{'choices': [{'delta': {'role': 'assistant', 'content': ' text'}}]}\n",
      "{'choices': [{'delta': {'role': 'assistant', 'content': '-'}}]}\n",
      "{'choices': [{'delta': {'role': 'assistant', 'content': 'based'}}]}\n",
      "{'choices': [{'delta': {'role': 'assistant', 'content': ' A'}}]}\n",
      "{'choices': [{'delta': {'role': 'assistant', 'content': 'I'}}]}\n",
      "{'choices': [{'delta': {'role': 'assistant', 'content': ' language'}}]}\n",
      "{'choices': [{'delta': {'role': 'assistant', 'content': ' model'}}]}\n",
      "{'choices': [{'delta': {'role': 'assistant', 'content': ' and'}}]}\n",
      "{'choices': [{'delta': {'role': 'assistant', 'content': ' I'}}]}\n",
      "{'choices': [{'delta': {'role': 'assistant', 'content': ' don'}}]}\n",
      "{'choices': [{'delta': {'role': 'assistant', 'content': \"'\"}}]}\n",
      "{'choices': [{'delta': {'role': 'assistant', 'content': 't'}}]}\n",
      "{'choices': [{'delta': {'role': 'assistant', 'content': ' have'}}]}\n",
      "{'choices': [{'delta': {'role': 'assistant', 'content': ' access'}}]}\n",
      "{'choices': [{'delta': {'role': 'assistant', 'content': ' to'}}]}\n",
      "{'choices': [{'delta': {'role': 'assistant', 'content': ' real'}}]}\n",
      "{'choices': [{'delta': {'role': 'assistant', 'content': '-'}}]}\n",
      "{'choices': [{'delta': {'role': 'assistant', 'content': 'time'}}]}\n",
      "{'choices': [{'delta': {'role': 'assistant', 'content': ' weather'}}]}\n",
      "{'choices': [{'delta': {'role': 'assistant', 'content': ' information'}}]}\n",
      "{'choices': [{'delta': {'role': 'assistant', 'content': '.'}}]}\n",
      "{'choices': [{'delta': {'role': 'assistant', 'content': 'ℝ'}}]}\n",
      "{'choices': [{'delta': {'role': 'assistant', 'content': ' However'}}]}\n",
      "{'choices': [{'delta': {'role': 'assistant', 'content': ','}}]}\n",
      "{'choices': [{'delta': {'role': 'assistant', 'content': ' I'}}]}\n",
      "{'choices': [{'delta': {'role': 'assistant', 'content': ' can'}}]}\n",
      "{'choices': [{'delta': {'role': 'assistant', 'content': ' tell'}}]}\n",
      "{'choices': [{'delta': {'role': 'assistant', 'content': ' you'}}]}\n",
      "{'choices': [{'delta': {'role': 'assistant', 'content': ' the'}}]}\n",
      "{'choices': [{'delta': {'role': 'assistant', 'content': ' current'}}]}\n",
      "{'choices': [{'delta': {'role': 'assistant', 'content': ' weather'}}]}\n",
      "{'choices': [{'delta': {'role': 'assistant', 'content': ' conditions'}}]}\n",
      "{'choices': [{'delta': {'role': 'assistant', 'content': ' for'}}]}\n",
      "{'choices': [{'delta': {'role': 'assistant', 'content': ' a'}}]}\n",
      "{'choices': [{'delta': {'role': 'assistant', 'content': ' specific'}}]}\n",
      "{'choices': [{'delta': {'role': 'assistant', 'content': ' location'}}]}\n",
      "{'choices': [{'delta': {'role': 'assistant', 'content': ' if'}}]}\n",
      "{'choices': [{'delta': {'role': 'assistant', 'content': ' you'}}]}\n",
      "{'choices': [{'delta': {'role': 'assistant', 'content': ' provide'}}]}\n",
      "{'choices': [{'delta': {'role': 'assistant', 'content': ' me'}}]}\n",
      "{'choices': [{'delta': {'role': 'assistant', 'content': ' with'}}]}\n",
      "{'choices': [{'delta': {'role': 'assistant', 'content': ' the'}}]}\n",
      "{'choices': [{'delta': {'role': 'assistant', 'content': ' city'}}]}\n",
      "{'choices': [{'delta': {'role': 'assistant', 'content': ' or'}}]}\n",
      "{'choices': [{'delta': {'role': 'assistant', 'content': ' zip'}}]}\n",
      "{'choices': [{'delta': {'role': 'assistant', 'content': ' code'}}]}\n",
      "{'choices': [{'delta': {'role': 'assistant', 'content': '.'}}]}\n",
      "{'choices': [{'delta': {'role': 'assistant', 'content': ' Alternatively'}}]}\n",
      "{'choices': [{'delta': {'role': 'assistant', 'content': ','}}]}\n",
      "{'choices': [{'delta': {'role': 'assistant', 'content': ' you'}}]}\n",
      "{'choices': [{'delta': {'role': 'assistant', 'content': ' can'}}]}\n",
      "{'choices': [{'delta': {'role': 'assistant', 'content': ' check'}}]}\n",
      "{'choices': [{'delta': {'role': 'assistant', 'content': ' the'}}]}\n",
      "{'choices': [{'delta': {'role': 'assistant', 'content': ' weather'}}]}\n",
      "{'choices': [{'delta': {'role': 'assistant', 'content': ' for'}}]}\n",
      "{'choices': [{'delta': {'role': 'assistant', 'content': ' any'}}]}\n",
      "{'choices': [{'delta': {'role': 'assistant', 'content': ' location'}}]}\n",
      "{'choices': [{'delta': {'role': 'assistant', 'content': ' in'}}]}\n",
      "{'choices': [{'delta': {'role': 'assistant', 'content': ' the'}}]}\n",
      "{'choices': [{'delta': {'role': 'assistant', 'content': ' world'}}]}\n",
      "{'choices': [{'delta': {'role': 'assistant', 'content': ' by'}}]}\n",
      "{'choices': [{'delta': {'role': 'assistant', 'content': ' using'}}]}\n",
      "{'choices': [{'delta': {'role': 'assistant', 'content': ' a'}}]}\n",
      "{'choices': [{'delta': {'role': 'assistant', 'content': ' search'}}]}\n",
      "{'choices': [{'delta': {'role': 'assistant', 'content': ' engine'}}]}\n",
      "{'choices': [{'delta': {'role': 'assistant', 'content': ' or'}}]}\n",
      "{'choices': [{'delta': {'role': 'assistant', 'content': ' visit'}}]}\n",
      "{'choices': [{'delta': {'role': 'assistant', 'content': 'ing'}}]}\n",
      "{'choices': [{'delta': {'role': 'assistant', 'content': ' a'}}]}\n",
      "{'choices': [{'delta': {'role': 'assistant', 'content': ' weather'}}]}\n",
      "{'choices': [{'delta': {'role': 'assistant', 'content': ' website'}}]}\n",
      "{'choices': [{'delta': {'role': 'assistant', 'content': '.'}}]}\n",
      "None\n"
     ]
    },
    {
     "ename": "TypeError",
     "evalue": "'async for' requires an object with __aiter__ method, got NoneType",
     "output_type": "error",
     "traceback": [
      "\u001b[0;31m---------------------------------------------------------------------------\u001b[0m",
      "\u001b[0;31mTypeError\u001b[0m                                 Traceback (most recent call last)",
      "Cell \u001b[0;32mIn[4], line 15\u001b[0m\n\u001b[1;32m     13\u001b[0m result \u001b[39m=\u001b[39m \u001b[39mawait\u001b[39;00m async_ollama()\n\u001b[1;32m     14\u001b[0m \u001b[39mprint\u001b[39m(result)\n\u001b[0;32m---> 15\u001b[0m \u001b[39masync\u001b[39;00m \u001b[39mfor\u001b[39;00m chunk \u001b[39min\u001b[39;00m result:\n\u001b[1;32m     16\u001b[0m     \u001b[39mprint\u001b[39m(chunk)\n",
      "\u001b[0;31mTypeError\u001b[0m: 'async for' requires an object with __aiter__ method, got NoneType"
     ]
    }
   ],
   "source": [
    "import litellm\n",
    "\n",
    "async def async_ollama():\n",
    "    response = await litellm.acompletion(\n",
    "        model=\"ollama/llama2\", \n",
    "        messages=[{ \"content\": \"what's the weather\" ,\"role\": \"user\"}], \n",
    "        api_base=\"http://localhost:11434\", \n",
    "        stream=True\n",
    "    )\n",
    "    async for chunk in response:\n",
    "        print(chunk)\n",
    "\n",
    "result = await async_ollama()\n",
    "print(result)\n",
    "async for chunk in result:\n",
    "    print(chunk)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  }
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