#### What this does #### # On success, logs events to Langfuse import dotenv, os import requests import requests from datetime import datetime dotenv.load_dotenv() # Loading env variables using dotenv import traceback class LangFuseLogger: # Class variables or attributes def __init__(self): from langfuse import Langfuse # Instance variables self.secret_key = os.getenv("LANGFUSE_SECRET_KEY") self.public_key = os.getenv("LANGFUSE_PUBLIC_KEY") self.Langfuse = Langfuse( public_key=self.public_key, secret_key=self.secret_key, host="https://cloud.langfuse.com", # debug=True ) def log_event(self, kwargs, response_obj, start_time, end_time, print_verbose): # Method definition from langfuse.model import InitialGeneration, Usage try: print_verbose( f"Langfuse Logging - Enters logging function for model {kwargs}" ) # print(response_obj) # print(response_obj['choices'][0]['message']['content']) # print(response_obj['usage']['prompt_tokens']) # print(response_obj['usage']['completion_tokens']) self.Langfuse.generation(InitialGeneration( name="litellm-completion", startTime=start_time, endTime=end_time, model=kwargs['model'], # modelParameters= kwargs, prompt=[kwargs['messages']], completion=response_obj['choices'][0]['message']['content'], usage=Usage( prompt_tokens=response_obj['usage']['prompt_tokens'], completion_tokens=response_obj['usage']['completion_tokens'] ), )) self.Langfuse.flush() print_verbose( f"Langfuse Layer Logging - final response object: {response_obj}" ) except: # traceback.print_exc() print_verbose(f"Langfuse Layer Error - {traceback.format_exc()}") pass