#### What this does #### # identifies least busy deployment # How is this achieved? # - Before each call, have the router print the state of requests {"deployment": "requests_in_flight"} # - use litellm.input_callbacks to log when a request is just about to be made to a model - {"deployment-id": traffic} # - use litellm.success + failure callbacks to log when a request completed # - in get_available_deployment, for a given model group name -> pick based on traffic import dotenv, os, requests from typing import Optional dotenv.load_dotenv() # Loading env variables using dotenv import traceback from litellm.caching import DualCache from litellm.integrations.custom_logger import CustomLogger class LeastBusyLoggingHandler(CustomLogger): def __init__(self, router_cache: DualCache): self.router_cache = router_cache self.mapping_deployment_to_id: dict = {} def log_pre_api_call(self, model, messages, kwargs): """ Log when a model is being used. Caching based on model group. """ try: if kwargs["litellm_params"].get("metadata") is None: pass else: deployment = kwargs["litellm_params"]["metadata"].get( "deployment", None ) model_group = kwargs["litellm_params"]["metadata"].get( "model_group", None ) id = kwargs["litellm_params"].get("model_info", {}).get("id", None) if deployment is None or model_group is None or id is None: return # map deployment to id self.mapping_deployment_to_id[deployment] = id request_count_api_key = f"{model_group}_request_count" # update cache request_count_dict = ( self.router_cache.get_cache(key=request_count_api_key) or {} ) request_count_dict[deployment] = ( request_count_dict.get(deployment, 0) + 1 ) self.router_cache.set_cache( key=request_count_api_key, value=request_count_dict ) except Exception as e: pass async def async_log_success_event(self, kwargs, response_obj, start_time, end_time): try: if kwargs["litellm_params"].get("metadata") is None: pass else: deployment = kwargs["litellm_params"]["metadata"].get( "deployment", None ) model_group = kwargs["litellm_params"]["metadata"].get( "model_group", None ) if deployment is None or model_group is None: return request_count_api_key = f"{model_group}_request_count" # decrement count in cache request_count_dict = ( self.router_cache.get_cache(key=request_count_api_key) or {} ) request_count_dict[deployment] = request_count_dict.get(deployment) self.router_cache.set_cache( key=request_count_api_key, value=request_count_dict ) except Exception as e: pass async def async_log_failure_event(self, kwargs, response_obj, start_time, end_time): try: if kwargs["litellm_params"].get("metadata") is None: pass else: deployment = kwargs["litellm_params"]["metadata"].get( "deployment", None ) model_group = kwargs["litellm_params"]["metadata"].get( "model_group", None ) if deployment is None or model_group is None: return request_count_api_key = f"{model_group}_request_count" # decrement count in cache request_count_dict = ( self.router_cache.get_cache(key=request_count_api_key) or {} ) request_count_dict[deployment] = request_count_dict.get(deployment) self.router_cache.set_cache( key=request_count_api_key, value=request_count_dict ) except Exception as e: pass def get_available_deployments(self, model_group: str): request_count_api_key = f"{model_group}_request_count" request_count_dict = ( self.router_cache.get_cache(key=request_count_api_key) or {} ) # map deployment to id return_dict = {} for key, value in request_count_dict.items(): return_dict[self.mapping_deployment_to_id[key]] = value return return_dict