examples/multi_agent_collaboration/devops_agent/invoke_agent.ipynb

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   "source": [
    "# Invoke supervisor agent: Slack Assistant\n",
    "In this notebook we will invoke the slack assistant with the latest version of the boto3 runtime SDK.\n",
    "\n",
    "The agent architecture looks as following:\n",
    "![Architecture](architecture.png)\n",
    "\n",
    "\n",
    "## Prerequisites\n",
    "Before starting, let's install the required boto3 libraries. Since this is a preview, the required libraries are being installed from the provided `whl` files\n",
    "\n",
    "**Important:** this command will result in some conflict errors. It is ok to ignore those for now! We will check the pip versions in the next step"
   ]
  },
  {
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     "name": "#%%\n"
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   "outputs": [],
   "source": [
    "# This has already been run once, no need of running again\n",
    "!python3 -m pip install --force-reinstall -q -r requirements.txt"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "d613a5da-83ea-446a-b8d9-0b885e3e49a4",
   "metadata": {
    "pycharm": {
     "name": "#%% md\n"
    }
   },
   "source": [
    "## Import required libraries\n",
    "Next we will import the required libraries. We will also import some support functions available in the parent directory. Those functions are:\n",
    "- `invoke_agent_helper`: helps you to invoke your agent using invoke_agent\n",
    "\n",
    "You can see the implementation of both functions in the parent directory"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "ff03cb24-93c4-4586-b8f1-39c8bda01078",
   "metadata": {
    "pycharm": {
     "name": "#%%\n"
    },
    "tags": []
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   "outputs": [],
   "source": [
    "import sys\n",
    "import os\n",
    "import time\n",
    "\n",
    "# Get the current file's directory\n",
    "current_dir = os.path.dirname(os.path.abspath('__file__'))\n",
    "\n",
    "# Get the parent directory\n",
    "parent_dir = os.path.dirname(current_dir)\n",
    "print(parent_dir)\n",
    "\n",
    "# Add the parent directory to sys.path\n",
    "sys.path.append(parent_dir)\n",
    "\n",
    "from agents import invoke_agent_helper"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "14a55fc8-bc06-41b5-bf3c-077cab0c9598",
   "metadata": {
    "pycharm": {
     "name": "#%% md\n"
    }
   },
   "source": [
    "## Load Data From Stored Variables\n",
    "Let's now load the supervisor agent id and alias id for the invoke agent"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "fa8745b4-89b9-4361-98c4-449878a1c406",
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   "outputs": [],
   "source": [
    "%store -r\n",
    "supervisor_agent_id, supervisor_agent_alias_id"
   ]
  },
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   "cell_type": "markdown",
   "id": "d25610bb-c2e6-43e4-b1db-62dd57099e60",
   "metadata": {
    "pycharm": {
     "name": "#%% md\n"
    }
   },
   "source": [
    "## Testing Agent\n",
    "Now that we've created the agent, let's test it by using our `invoke_agent_helper` function\n",
    "\n",
    "### Using Grafana Assistant\n",
    "First let's invoke the slack assistant with a query that triggers the grafana assistant"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "64bbee69-b1e8-4143-aeb5-c05054a16750",
   "metadata": {
    "pycharm": {
     "name": "#%%\n"
    }
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   "outputs": [],
   "source": [
    "time.sleep(60)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "eaef7974-095a-411f-9b91-3357d08445de",
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   "source": [
    "%%time\n",
    "import uuid\n",
    "session_id:str = str(uuid.uuid1())\n",
    "query = \"\"\"can you get me alert history of memory alert for the app app1\"\"\"\n",
    "response = invoke(\n",
    "    input_text=query, session_id=session_id, agent_id=supervisor_agent_id, \n",
    "    agent_alias_id=supervisor_agent_alias_id, enable_trace=True\n",
    ")\n",
    "print(response)"
   ]
  },
  {
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   "metadata": {
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   "source": [
    "### Using Github Assistant\n",
    "Next let's invoke our slack assistant with a query that triggers the github assistant. Before doing that we will sleep for 60 seconds to avoid throttling. This can be removed for accounts with higher limits"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "4aae7c80-58bc-484b-803c-456fc091d2fa",
   "metadata": {
    "pycharm": {
     "name": "#%%\n"
    }
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   "outputs": [],
   "source": [
    "time.sleep(60)"
   ]
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  {
   "cell_type": "code",
   "execution_count": null,
   "id": "79f79263-e0c4-46d6-853f-dc3d097931ac",
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     "name": "#%%\n"
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   "outputs": [],
   "source": [
    "%%time\n",
    "import uuid\n",
    "session_id:str = str(uuid.uuid1())\n",
    "query = \"get me all github related pull requests for owner mttanke for repo amazon-bedrock-samples\"\n",
    "\n",
    "response = invoke(\n",
    "    input_text=query, session_id=session_id, agent_id=supervisor_agent_id, \n",
    "    agent_alias_id=supervisor_agent_alias_id, enable_trace=True\n",
    ")\n",
    "print(response)"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "ee66dc7b-9712-4615-94e7-ecabac643902",
   "metadata": {
    "pycharm": {
     "name": "#%% md\n"
    }
   },
   "source": [
    "## Asking an out of scope question\n",
    "Let's now ask an out of scope question to test the supervisor's abilities to stay on topic"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "c1b8372c-116f-4a99-95d1-9ac069b7679d",
   "metadata": {
    "pycharm": {
     "name": "#%%\n"
    }
   },
   "outputs": [],
   "source": [
    "time.sleep(60)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "69d2a398-1404-4ffd-8510-14036dd9d8a8",
   "metadata": {
    "pycharm": {
     "name": "#%%\n"
    }
   },
   "outputs": [],
   "source": [
    "%%time\n",
    "import uuid\n",
    "session_id:str = str(uuid.uuid1())\n",
    "query = \"\"\"How can I bake a cake?\"\"\"\n",
    "\n",
    "response = invoke(\n",
    "    input_text=query, session_id=session_id, agent_id=supervisor_agent_id, \n",
    "    agent_alias_id=supervisor_agent_alias_id, enable_trace=True\n",
    ")\n",
    "\n",
    "print(response)"
   ]
  }
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