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#### 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, random | |
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): | |
test_flag: bool = False | |
logged_success: int = 0 | |
logged_failure: int = 0 | |
def __init__(self, router_cache: DualCache, model_list: list): | |
self.router_cache = router_cache | |
self.mapping_deployment_to_id: dict = {} | |
self.model_list = model_list | |
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: | |
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 | |
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[id] = request_count_dict.get(id, 0) + 1 | |
self.router_cache.set_cache( | |
key=request_count_api_key, value=request_count_dict | |
) | |
except Exception as e: | |
pass | |
def log_success_event(self, kwargs, response_obj, start_time, end_time): | |
try: | |
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 | |
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[id] = request_count_dict.get(id) - 1 | |
self.router_cache.set_cache( | |
key=request_count_api_key, value=request_count_dict | |
) | |
### TESTING ### | |
if self.test_flag: | |
self.logged_success += 1 | |
except Exception as e: | |
pass | |
def log_failure_event(self, kwargs, response_obj, start_time, end_time): | |
try: | |
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 | |
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[id] = request_count_dict.get(id) - 1 | |
self.router_cache.set_cache( | |
key=request_count_api_key, value=request_count_dict | |
) | |
### TESTING ### | |
if self.test_flag: | |
self.logged_failure += 1 | |
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: | |
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 | |
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[id] = request_count_dict.get(id) - 1 | |
self.router_cache.set_cache( | |
key=request_count_api_key, value=request_count_dict | |
) | |
### TESTING ### | |
if self.test_flag: | |
self.logged_success += 1 | |
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: | |
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 | |
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[id] = request_count_dict.get(id) - 1 | |
self.router_cache.set_cache( | |
key=request_count_api_key, value=request_count_dict | |
) | |
### TESTING ### | |
if self.test_flag: | |
self.logged_failure += 1 | |
except Exception as e: | |
pass | |
def get_available_deployments(self, model_group: str, healthy_deployments: list): | |
request_count_api_key = f"{model_group}_request_count" | |
deployments = self.router_cache.get_cache(key=request_count_api_key) or {} | |
all_deployments = deployments | |
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 | |
# map deployment to id | |
# pick least busy deployment | |
min_traffic = float("inf") | |
min_deployment = None | |
for k, v in all_deployments.items(): | |
if v < min_traffic: | |
min_traffic = v | |
min_deployment = k | |
if min_deployment is not None: | |
## check if min deployment is a string, if so, cast it to int | |
for m in healthy_deployments: | |
if m["model_info"]["id"] == min_deployment: | |
return m | |
min_deployment = random.choice(healthy_deployments) | |
else: | |
min_deployment = random.choice(healthy_deployments) | |
return min_deployment | |