You can attach prompt ids and prompt versions 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 prompt id or prompt versions as a key-value pair to the function. The keys are prompt_id and prompt_version and the values should be the prompt id and version respectively. 
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
      })
    }, { prompt_id: "prompt1234", prompt_version: "1" })
}
run().then(() => console.log('done'))
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 prompt id. This can be useful for debugging and monitoring purposes.