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  {
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   "source": [
    "# Comet Tracing\n",
    "\n",
    "There are two ways to trace your LangChains executions with Comet:\n",
    "\n",
    "1. Setting the `LANGCHAIN_COMET_TRACING` environment variable to \"true\". This is the recommended way.\n",
    "2. Import the `CometTracer` manually and pass it explicitely."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "17c04cc6-c93d-4b6c-a033-e897577f4ed1",
   "metadata": {
    "ExecuteTime": {
     "end_time": "2023-05-18T12:47:46.580776Z",
     "start_time": "2023-05-18T12:47:46.577833Z"
    },
    "tags": []
   },
   "outputs": [],
   "source": [
    "import os\n",
    "\n",
    "import comet_llm\n",
    "\n",
    "os.environ[\"LANGCHAIN_COMET_TRACING\"] = \"true\"\n",
    "\n",
    "# Connect to Comet if no API Key is set\n",
    "comet_llm.init()\n",
    "\n",
    "# comet documentation to configure comet using env variables\n",
    "# https://www.comet.com/docs/v2/api-and-sdk/llm-sdk/configuration/\n",
    "# here we are configuring the comet project\n",
    "os.environ[\"COMET_PROJECT_NAME\"] = \"comet-example-langchain-tracing\"\n",
    "\n",
    "from langchain.agents import AgentType, initialize_agent, load_tools\n",
    "from langchain.llms import OpenAI"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "1b62cd48",
   "metadata": {
    "ExecuteTime": {
     "end_time": "2023-05-18T12:47:47.445229Z",
     "start_time": "2023-05-18T12:47:47.436424Z"
    },
    "tags": []
   },
   "outputs": [],
   "source": [
    "# Agent run with tracing. Ensure that OPENAI_API_KEY is set appropriately to run this example.\n",
    "\n",
    "llm = OpenAI(temperature=0)\n",
    "tools = load_tools([\"llm-math\"], llm=llm)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "bfa16b79-aa4b-4d41-a067-70d1f593f667",
   "metadata": {
    "ExecuteTime": {
     "end_time": "2023-05-18T12:48:01.816137Z",
     "start_time": "2023-05-18T12:47:49.109574Z"
    },
    "tags": []
   },
   "outputs": [],
   "source": [
    "agent = initialize_agent(\n",
    "    tools, llm, agent=AgentType.ZERO_SHOT_REACT_DESCRIPTION, verbose=True\n",
    ")\n",
    "\n",
    "agent.run(\"What is 2 raised to .123243 power?\")  # this should be traced\n",
    "# An url for the chain like the following should print in your console:\n",
    "# https://www.comet.com/<workspace>/<project_name>\n",
    "# The url can be used to view the LLM chain in Comet."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "5e212e7d",
   "metadata": {},
   "outputs": [],
   "source": [
    "# Now, we unset the environment variable and use a context manager.\n",
    "if \"LANGCHAIN_COMET_TRACING\" in os.environ:\n",
    "    del os.environ[\"LANGCHAIN_COMET_TRACING\"]\n",
    "\n",
    "from langchain_community.callbacks.tracers.comet import CometTracer\n",
    "\n",
    "tracer = CometTracer()\n",
    "\n",
    "# Recreate the LLM, tools and agent and passing the callback to each of them\n",
    "llm = OpenAI(temperature=0)\n",
    "tools = load_tools([\"llm-math\"], llm=llm)\n",
    "agent = initialize_agent(\n",
    "    tools, llm, agent=AgentType.ZERO_SHOT_REACT_DESCRIPTION, verbose=True\n",
    ")\n",
    "\n",
    "agent.run(\n",
    "    \"What is 2 raised to .123243 power?\", callbacks=[tracer]\n",
    ")  # this should be traced"
   ]
  }
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