/docs/examples/llm/grok.ipynb

{
 "cells": [
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Grok 4\n",
    "\n",
    "Grok from xAI uses an OpenAI-compatible API, so you can use it with the OpenAILike integration class."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "!pip install llama-index-llms-openai-like"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "grok_api_key = \"xai-xxxxxxxx\""
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Hello World! 🌍 That's the universal greeting for programmers everywhere. What adventure brings you here today? 😊\n"
     ]
    }
   ],
   "source": [
    "from llama_index.llms.openai_like import OpenAILike\n",
    "\n",
    "llm = OpenAILike(\n",
    "    model=\"grok-4-0709\",\n",
    "    api_base=\"https://api.x.ai/v1\",\n",
    "    api_key=grok_api_key,\n",
    "    context_window=128000,\n",
    "    is_chat_model=True,\n",
    "    is_function_calling_model=False,\n",
    ")\n",
    "\n",
    "response = llm.complete(\"Hello World!\")\n",
    "print(str(response))"
   ]
  }
 ],
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  "kernelspec": {
   "display_name": "Python 3",
   "name": "python3"
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