#### What this does #### # identifies lowest tpm deployment import dotenv, os, requests, random from typing import Optional, Union, List, Dict from datetime import datetime dotenv.load_dotenv() # Loading env variables using dotenv import traceback from litellm import token_counter from litellm.caching import DualCache from litellm.integrations.custom_logger import CustomLogger class LowestTPMLoggingHandler(CustomLogger): test_flag: bool = False logged_success: int = 0 logged_failure: int = 0 default_cache_time_seconds: int = 1 * 60 * 60 # 1 hour def __init__(self, router_cache: DualCache, model_list: list): self.router_cache = router_cache self.model_list = model_list def log_success_event(self, kwargs, response_obj, start_time, end_time): try: """ Update TPM/RPM usage on success """ if kwargs["litellm_params"].get("metadata") is None: pass else: model_group = kwargs["litellm_params"]["metadata"].get( "model_group", None ) id = kwargs["litellm_params"].get("model_info", {}).get("id", None) if model_group is None or id is None: return total_tokens = response_obj["usage"]["total_tokens"] # ------------ # Setup values # ------------ current_minute = datetime.now().strftime("%H-%M") tpm_key = f"{model_group}:tpm:{current_minute}" rpm_key = f"{model_group}:rpm:{current_minute}" # ------------ # Update usage # ------------ ## TPM request_count_dict = self.router_cache.get_cache(key=tpm_key) or {} request_count_dict[id] = request_count_dict.get(id, 0) + total_tokens self.router_cache.set_cache(key=tpm_key, value=request_count_dict) ## RPM request_count_dict = self.router_cache.get_cache(key=rpm_key) or {} request_count_dict[id] = request_count_dict.get(id, 0) + 1 self.router_cache.set_cache(key=rpm_key, value=request_count_dict) ### TESTING ### if self.test_flag: self.logged_success += 1 except Exception as e: traceback.print_exc() pass async def async_log_success_event(self, kwargs, response_obj, start_time, end_time): try: """ Update TPM/RPM usage on success """ if kwargs["litellm_params"].get("metadata") is None: pass else: model_group = kwargs["litellm_params"]["metadata"].get( "model_group", None ) id = kwargs["litellm_params"].get("model_info", {}).get("id", None) if model_group is None or id is None: return total_tokens = response_obj["usage"]["total_tokens"] # ------------ # Setup values # ------------ current_minute = datetime.now().strftime("%H-%M") tpm_key = f"{model_group}:tpm:{current_minute}" rpm_key = f"{model_group}:rpm:{current_minute}" # ------------ # Update usage # ------------ # update cache ## TPM request_count_dict = self.router_cache.get_cache(key=tpm_key) or {} request_count_dict[id] = request_count_dict.get(id, 0) + total_tokens self.router_cache.set_cache(key=tpm_key, value=request_count_dict) ## RPM request_count_dict = self.router_cache.get_cache(key=rpm_key) or {} request_count_dict[id] = request_count_dict.get(id, 0) + 1 self.router_cache.set_cache(key=rpm_key, value=request_count_dict) ### TESTING ### if self.test_flag: self.logged_success += 1 except Exception as e: traceback.print_exc() pass def get_available_deployments( self, model_group: str, healthy_deployments: list, messages: Optional[List[Dict[str, str]]] = None, input: Optional[Union[str, List]] = None, ): """ Returns a deployment with the lowest TPM/RPM usage. """ # get list of potential deployments current_minute = datetime.now().strftime("%H-%M") tpm_key = f"{model_group}:tpm:{current_minute}" rpm_key = f"{model_group}:rpm:{current_minute}" tpm_dict = self.router_cache.get_cache(key=tpm_key) rpm_dict = self.router_cache.get_cache(key=rpm_key) # ----------------------- # Find lowest used model # ---------------------- lowest_tpm = float("inf") deployment = None if tpm_dict is None: # base case item = random.choice(healthy_deployments) return item all_deployments = tpm_dict for d in healthy_deployments: ## if healthy deployment not yet used if d["model_info"]["id"] not in all_deployments: all_deployments[d["model_info"]["id"]] = 0 try: input_tokens = token_counter(messages=messages, text=input) except: input_tokens = 0 for item, item_tpm in all_deployments.items(): ## get the item from model list _deployment = None for m in healthy_deployments: if item == m["model_info"]["id"]: _deployment = m if _deployment is None: continue # skip to next one _deployment_tpm = ( _deployment.get("tpm", None) or _deployment.get("litellm_params", {}).get("tpm", None) or _deployment.get("model_info", {}).get("tpm", None) or float("inf") ) _deployment_rpm = ( _deployment.get("rpm", None) or _deployment.get("litellm_params", {}).get("rpm", None) or _deployment.get("model_info", {}).get("rpm", None) or float("inf") ) if item_tpm == 0: deployment = _deployment break elif ( item_tpm + input_tokens > _deployment_tpm or rpm_dict[item] + 1 > _deployment_rpm ): # if user passed in tpm / rpm in the model_list continue elif item_tpm < lowest_tpm: lowest_tpm = item_tpm deployment = _deployment return deployment