{
 "cells": [
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "%load_ext autoreload\n",
    "%autoreload 2"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "OPENAI_KEY = \"sk-XXX\""
   ]
  },
  {
   "attachments": {},
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Use ChatOpenAI\n",
    "\n",
    "Set you `OPENAI_API_KEY` environment variable."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "from manifest import Manifest\n",
    "from manifest.connections.client_pool import ClientConnection\n",
    "\n",
    "openai_chat = ClientConnection(\n",
    "    client_name=\"openaichat\",\n",
    "    client_connection=OPENAI_KEY,\n",
    "    engine=\"gpt-3.5-turbo\"\n",
    ")\n",
    "\n",
    "manifest = Manifest(client_pool=[openai_chat])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "manifest_iterator = manifest.run(\"Tell me a story about a fat cat.\\n\\nOnce upon a time\", max_tokens=200, stream=True)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "import sys\n",
    "\n",
    "cur_line_length = 0\n",
    "# Iterate over stream\n",
    "for res in manifest_iterator:\n",
    "    sys.stdout.write(res)\n",
    "    cur_line_length += len(res)\n",
    "    if cur_line_length > 80:\n",
    "        sys.stdout.write(\"\\n\")\n",
    "        cur_line_length = 0"
   ]
  }
 ],
 "metadata": {
  "kernelspec": {
   "display_name": "manifest",
   "language": "python",
   "name": "python3"
  },
  "language_info": {
   "codemirror_mode": {
    "name": "ipython",
    "version": 3
   },
   "file_extension": ".py",
   "mimetype": "text/x-python",
   "name": "python",
   "nbconvert_exporter": "python",
   "pygments_lexer": "ipython3",
   "version": "3.10.4"
  },
  "orig_nbformat": 4,
  "vscode": {
   "interpreter": {
    "hash": "fddffe4ac3b9f00470127629076101c1b5f38ecb1e7358b567d19305425e9491"
   }
  }
 },
 "nbformat": 4,
 "nbformat_minor": 2
}