{
 "cells": [
  {
   "cell_type": "code",
   "execution_count": 1,
   "id": "03b6eee8",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Testing endpoint: https://asia-southeast1-aiplatform.googleapis.com/v1/projects/angular-stacker-473507-t1/locations/asia-southeast1/reasoningEngines/734755242331078656:query\n",
      "Payload: {\n",
      "  \"input\": {\n",
      "    \"query\": \"List all available RAG corpora\"\n",
      "  }\n",
      "}\n",
      "\n",
      "Sending request...\n",
      "\n",
      "Status Code: 400\n",
      "Response Headers: {'Vary': 'Origin, X-Origin, Referer', 'Content-Type': 'application/json; charset=UTF-8', 'Content-Encoding': 'gzip', 'Date': 'Thu, 20 Nov 2025 16:23:57 GMT', 'Server': 'scaffolding on HTTPServer2', 'X-XSS-Protection': '0', 'X-Frame-Options': 'SAMEORIGIN', 'X-Content-Type-Options': 'nosniff', 'Alt-Svc': 'h3=\":443\"; ma=2592000,h3-29=\":443\"; ma=2592000', 'Transfer-Encoding': 'chunked'}\n",
      "\n",
      "Response Body:\n",
      "{\n",
      "  \"error\": {\n",
      "    \"code\": 400,\n",
      "    \"message\": \"Reasoning Engine Execution failed.\\nPlease refer to our documentation (https://cloud.google.com/vertex-ai/generative-ai/docs/agent-engine/troubleshooting/use) for checking logs and other troubleshooting tips.\\nError Details: {\\\"detail\\\":\\\"Agent Engine Error: Default method `query` not found. Available methods are: ['async_delete_session', 'async_search_memory', 'async_add_session_to_memory', 'list_sessions', 'register_feedback', 'async_list_sessions', 'get_session', 'async_get_session', 'delete_session', 'create_session', 'async_create_session'].\\\"}\",\n",
      "    \"status\": \"FAILED_PRECONDITION\"\n",
      "  }\n",
      "}\n"
     ]
    }
   ],
   "source": [
    "import requests\n",
    "import subprocess\n",
    "import json\n",
    "\n",
    "# Get access token\n",
    "def get_access_token():\n",
    "    result = subprocess.run(\n",
    "        ['gcloud', 'auth', 'print-access-token'],\n",
    "        capture_output=True,\n",
    "        text=True\n",
    "    )\n",
    "    return result.stdout.strip()\n",
    "\n",
    "# Test the Reasoning Engine endpoint\n",
    "def test_reasoning_engine():\n",
    "    url = \"https://asia-southeast1-aiplatform.googleapis.com/v1/projects/angular-stacker-473507-t1/locations/asia-southeast1/reasoningEngines/734755242331078656:query\"\n",
    "    \n",
    "    token = get_access_token()\n",
    "    \n",
    "    headers = {\n",
    "        \"Authorization\": f\"Bearer {token}\",\n",
    "        \"Content-Type\": \"application/json\"\n",
    "    }\n",
    "    \n",
    "    # Test payload - adjust based on your agent's expected input\n",
    "    payload = {\n",
    "        \"input\": {\n",
    "            \"query\": \"List all available RAG corpora\"\n",
    "        }\n",
    "    }\n",
    "    \n",
    "    print(f\"Testing endpoint: {url}\")\n",
    "    print(f\"Payload: {json.dumps(payload, indent=2)}\")\n",
    "    print(\"\\nSending request...\")\n",
    "    \n",
    "    response = requests.post(url, headers=headers, json=payload)\n",
    "    \n",
    "    print(f\"\\nStatus Code: {response.status_code}\")\n",
    "    print(f\"Response Headers: {dict(response.headers)}\")\n",
    "    print(f\"\\nResponse Body:\")\n",
    "    print(json.dumps(response.json(), indent=2))\n",
    "    \n",
    "    return response\n",
    "\n",
    "if __name__ == \"__main__\":\n",
    "    try:\n",
    "        response = test_reasoning_engine()\n",
    "    except Exception as e:\n",
    "        print(f\"Error: {e}\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "2878a9fc",
   "metadata": {},
   "outputs": [],
   "source": []
  }
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