import datetime class AthinaLogger: def __init__(self): import os self.athina_api_key = os.getenv("ATHINA_API_KEY") self.headers = { "athina-api-key": self.athina_api_key, "Content-Type": "application/json", } self.athina_logging_url = "https://log.athina.ai/api/v1/log/inference" self.additional_keys = [ "environment", "prompt_slug", "customer_id", "customer_user_id", "session_id", "external_reference_id", "context", "expected_response", "user_query", ] def log_event(self, kwargs, response_obj, start_time, end_time, print_verbose): import requests # type: ignore import json import traceback try: response_json = response_obj.model_dump() if response_obj else {} data = { "language_model_id": kwargs.get("model"), "request": kwargs, "response": response_json, "prompt_tokens": response_json.get("usage", {}).get("prompt_tokens"), "completion_tokens": response_json.get("usage", {}).get( "completion_tokens" ), "total_tokens": response_json.get("usage", {}).get("total_tokens"), } if ( type(end_time) == datetime.datetime and type(start_time) == datetime.datetime ): data["response_time"] = int( (end_time - start_time).total_seconds() * 1000 ) if "messages" in kwargs: data["prompt"] = kwargs.get("messages", None) # Directly add tools or functions if present optional_params = kwargs.get("optional_params", {}) data.update( (k, v) for k, v in optional_params.items() if k in ["tools", "functions"] ) # Add additional metadata keys metadata = kwargs.get("litellm_params", {}).get("metadata", {}) if metadata: for key in self.additional_keys: if key in metadata: data[key] = metadata[key] response = requests.post( self.athina_logging_url, headers=self.headers, data=json.dumps(data, default=str), ) if response.status_code != 200: print_verbose( f"Athina Logger Error - {response.text}, {response.status_code}" ) else: print_verbose(f"Athina Logger Succeeded - {response.text}") except Exception as e: print_verbose( f"Athina Logger Error - {e}, Stack trace: {traceback.format_exc()}" ) pass