{
 "cells": [
  {
   "cell_type": "markdown",
   "id": "61b569f7",
   "metadata": {},
   "source": [
    "\n",
    "Basic Usage\n",
    "------------\n",
    "\n",
    "Here's how to use the basic functionality of ai_sentinel:"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "266bd5d3",
   "metadata": {},
   "outputs": [],
   "source": [
    "from ai_sentinel import AzureOpenAIClient, ToxicityGuard\n",
    "\n",
    "# Initialize LLM client\n",
    "client = AzureOpenAIClient(\n",
    "    api_key=\"YOUR-API-KEY\",\n",
    "    model=\"gpt-4o-mini\",\n",
    "    api_version=\"2024-02-01\",\n",
    "    azure_endpoint=\"https://your-resource.openai.azure.com/\"\n",
    ")\n",
    "\n",
    "# Create toxicity guard\n",
    "guard = ToxicityGuard(client)\n",
    "\n",
    "# Analyze text\n",
    "result = guard.analyze(\"This is a normal message\")\n",
    "\n",
    "print(f\"Is toxic: {result.is_toxic}\")\n",
    "print(f\"Confidence: {result.confidence}\")\n",
    "print(f\"Categories: {result.categories}\")\n",
    "print(f\"Reason: {result.reason}\")\n",
    "print(f\"Severity: {result.score}\")\n"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "633dcc5c",
   "metadata": {},
   "source": [
    "Async Usage\n",
    "------------\n",
    "\n",
    "Generate text and validate responses asynchronously."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "bcfb5194",
   "metadata": {},
   "outputs": [],
   "source": [
    "import asyncio\n",
    "from ai_sentinel import AzureOpenAIClient, ToxicityGuard\n",
    "\n",
    "client = AzureOpenAIClient(\n",
    "    api_key=\"YOUR-API-KEY\",\n",
    "    model=\"gpt-4o-mini\",\n",
    "    api_version=\"2024-02-01\",\n",
    "    azure_endpoint=\"https://your-resource.openai.azure.com/\"\n",
    ")\n",
    "\n",
    "async def main() -> None:\n",
    "    guard = ToxicityGuard(client)\n",
    "    response = await guard.analyze_async(\"Text to analyze\")\n",
    "\n",
    "    print(f\"Is toxic: {result.is_toxic}\")\n",
    "    print(f\"Confidence: {result.confidence}\")\n",
    "    print(f\"Categories: {result.categories}\")\n",
    "    print(f\"Reason: {result.reason}\")\n",
    "    print(f\"Severity: {result.score}\")\n",
    "\n",
    "asyncio.run(main())  "
   ]
  }
 ],
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   "name": "python"
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