This example showcases how to connect to PromptLayer to start recording your ChatOpenAI requests.

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Install PromptLayer

The promptlayer package is required to use PromptLayer with OpenAI. Install promptlayer using pip. 
pip install promptlayer

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Imports

import os

from langchain_community.chat_models import PromptLayerChatOpenAI
from langchain_core.messages import HumanMessage

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Set the Environment API Key

You can create a PromptLayer API Key at www.promptlayer.com by clicking the settings cog in the navbar. Set it as an environment variable called PROMPTLAYER_API_KEY. 
os.environ["PROMPTLAYER_API_KEY"] = "**********"

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Use the PromptLayerOpenAI LLM like normal

You can optionally pass in pl_tags to track your requests with PromptLayer’s tagging feature. 
chat = PromptLayerChatOpenAI(pl_tags=["langchain"])
chat([HumanMessage(content="I am a cat and I want")])

AIMessage(content='to take a nap in a cozy spot. I search around for a suitable place and finally settle on a soft cushion on the window sill. I curl up into a ball and close my eyes, relishing the warmth of the sun on my fur. As I drift off to sleep, I can hear the birds chirping outside and feel the gentle breeze blowing through the window. This is the life of a contented cat.', additional_kwargs={})
The above request should now appear on your PromptLayer dashboard.

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Using PromptLayer Track

If you would like to use any of the PromptLayer tracking features, you need to pass the argument return_pl_id when instantiating the PromptLayer LLM to get the request id. 
import promptlayer

chat = PromptLayerChatOpenAI(return_pl_id=True)
chat_results = chat.generate([[HumanMessage(content="I am a cat and I want")]])

for res in chat_results.generations:
    pl_request_id = res[0].generation_info["pl_request_id"]
    promptlayer.track.score(request_id=pl_request_id, score=100)
Using this allows you to track the performance of your model in the PromptLayer dashboard. If you are using a prompt template, you can attach a template to a request as well. Overall, this gives you the opportunity to track the performance of different templates and models in the PromptLayer dashboard.