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promptlayer.track.metadata(
  request_id=pl_request_id,
  metadata={
      "user_id":"1abf2345f",
      "session_id": "2cef2345f",
      "error_message": "None"
  }
)

promptlayer.track.metadata({
  request_id:pl_request_id,
  metadata:{
      "user_id":"1abf2345f",
      "session_id": "2cef2345f",
      "error_message": "None"
  }
})

promptlayer.track.score(
  request_id=pl_request_id, 
  score_name="summarization", # optional score name
  score=100
)

promptlayer.track.score({
  request_id: pl_request_id,
  score: 100
})

openai.Completion.create(
  engine="text-ada-001", 
  prompt="My name is", 
  pl_tags=["mytag1", "mytag2"]
)

openai.completions.create({
  model:"text-ada-001", 
  prompt:"My name is", 
  pl_tags:["mytag1", "mytag2"]
})

from langchain.llms import PromptLayerOpenAI
llm = PromptLayerOpenAI(pl_tags=["mytag1", "mytag2"])
resp = llm("tell me a joke")

const axios = require('axios');

const requestData = {
  function_name: 'openai.Completion.create',
  kwargs: {
    engine: 'gpt-3.5-turbo-instruct',
    prompt: 'tell me a joke',
  },
  tags: ["mytag1", "mytag2"],
  ...
};

axios.post('https://api.promptlayer.com/rest/track-request', requestData)
  .then(response => {
    console.log(response.data);
  })