15_Langfuse.ipynb

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   "source": [
    "### Monitoring \n",
    "Monitoring is a key part of real world applications. There exist Tools like LangSmith and LangFuse to archieve this. It´s easy to setup and use"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "metadata": {},
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    {
     "data": {
      "text/plain": [
       "True"
      ]
     },
     "execution_count": 3,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "from dotenv import load_dotenv\n",
    "import os\n",
    "\n",
    "app_dir = os.path.join(os.getcwd(), \"app\")\n",
    "load_dotenv(os.path.join(app_dir, \".env\"))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "metadata": {},
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    {
     "data": {
      "text/plain": [
       "True"
      ]
     },
     "execution_count": 4,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "from langfuse.callback import CallbackHandler\n",
    "\n",
    "langfuse_handler = CallbackHandler()\n",
    "langfuse_handler.auth_check()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "metadata": {},
   "outputs": [],
   "source": [
    "from langchain_core.prompts import ChatPromptTemplate\n",
    "from langchain_openai import ChatOpenAI\n",
    "\n",
    "model = ChatOpenAI()\n",
    "prompt = ChatPromptTemplate.from_template(\"tell me a joke about {topic}\")\n",
    "chain = prompt | model"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "AIMessage(content='Why did the parrot wear a raincoat?\\n\\nBecause he wanted to be polyunsaturated!', response_metadata={'token_usage': {'completion_tokens': 19, 'prompt_tokens': 14, 'total_tokens': 33}, 'model_name': 'gpt-3.5-turbo', 'system_fingerprint': None, 'finish_reason': 'stop', 'logprobs': None}, id='run-166ef5d2-90a9-47df-b982-9bce8aa03a63-0')"
      ]
     },
     "execution_count": 6,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "chain.invoke({\"topic\": \"parrot\"}, config={\"callbacks\": [langfuse_handler]})"
   ]
  }
 ],
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