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You can attach user ids to traces in Langtrace by simply wrapping your code with the withAdditionalAttributes for typescript or inject_additional_attributes function for python. This will add the specified attributes to the trace spans. Make sure to pass the user id as a key-value pair to the function. The key should be user_id and the value should be the user id. User ids should be unique for each user. 
import * as Langtrace from "@langtrase/typescript-sdk";
import OpenAI from 'openai'
Langtrace.init({
  write_spans_to_console: true,
})
const openai = new OpenAI()
export const run = async ()=>{
    const response = await Langtrace.withAdditionalAttributes(async () => {
      return await openai.chat.completions.create({
        model: 'gpt-4',
        messages: [
          { role: 'system', content: 'Talk like a pirate' },
          { role: 'user', content: 'Tell me a story in 3 sentences or less.' }
        ],
        stream: false
      })
    }, { user_id: "user1234" }) // Add user id to the trace spans
}
run().then(() => console.log('done'))

from langtrace_python_sdk import inject_additional_attributes

def do_llm_stuff(name=""):
    response = client.chat.completions.create(
        model="gpt-4",
        messages=[{"role": "user", "content": "Say this is a test three times"}],
        stream=False,
    )
    return response


def main():
  response = inject_additional_attributes(lambda: do_llm_stuff(name="llm"), {'user_id': 'userid1234'})

  # if the function do not take arguments then this syntax will work
  response = inject_additional_attributes(do_llm_stuff, {'user_id': 'userid1234'})

main()

from langtrace_python_sdk import langtrace, with_additional_attributes
from openai import OpenAI

langtrace.init(write_spans_to_console=True)

openai = new OpenAI()

@with_additional_attributes({'user_id': 1234, 'request_id': 'random_id'})
def run():
  response = openai.chat.completions.create(
        model="gpt-4",
        messages=[
            {"role": "system", "content": "Talk like a pirate"},
            {"role": "user", "content": "Tell me a story in 3 sentences or less."},
        ],
        stream=True,
    )
    return response
run()
DO NOT USE this the Python decorator - with_additional_attributes. It will be deprecated soon. Please use inject_additional_attributes function instead.
Now, you can filter and group traces based on the user id. This can be useful for debugging and monitoring purposes. userid