mirror of
https://github.com/BerriAI/litellm.git
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c7f14e936a
* remove unused imports * fix AmazonConverseConfig * fix test * fix import * ruff check fixes * test fixes * fix testing * fix imports
243 lines
8.9 KiB
Python
243 lines
8.9 KiB
Python
#### What this does ####
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# identifies lowest tpm deployment
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import traceback
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from datetime import datetime
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from typing import Dict, List, Optional, Union
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from litellm import token_counter
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from litellm._logging import verbose_router_logger
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from litellm.caching.caching import DualCache
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from litellm.integrations.custom_logger import CustomLogger
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from litellm.types.utils import LiteLLMPydanticObjectBase
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from litellm.utils import print_verbose
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class RoutingArgs(LiteLLMPydanticObjectBase):
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ttl: int = 1 * 60 # 1min (RPM/TPM expire key)
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class LowestTPMLoggingHandler(CustomLogger):
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test_flag: bool = False
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logged_success: int = 0
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logged_failure: int = 0
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default_cache_time_seconds: int = 1 * 60 * 60 # 1 hour
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def __init__(
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self, router_cache: DualCache, model_list: list, routing_args: dict = {}
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):
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self.router_cache = router_cache
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self.model_list = model_list
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self.routing_args = RoutingArgs(**routing_args)
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def log_success_event(self, kwargs, response_obj, start_time, end_time):
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try:
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"""
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Update TPM/RPM usage on success
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"""
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if kwargs["litellm_params"].get("metadata") is None:
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pass
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else:
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model_group = kwargs["litellm_params"]["metadata"].get(
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"model_group", None
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)
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id = kwargs["litellm_params"].get("model_info", {}).get("id", None)
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if model_group is None or id is None:
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return
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elif isinstance(id, int):
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id = str(id)
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total_tokens = response_obj["usage"]["total_tokens"]
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# ------------
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# Setup values
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# ------------
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current_minute = datetime.now().strftime("%H-%M")
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tpm_key = f"{model_group}:tpm:{current_minute}"
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rpm_key = f"{model_group}:rpm:{current_minute}"
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# ------------
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# Update usage
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# ------------
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## TPM
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request_count_dict = self.router_cache.get_cache(key=tpm_key) or {}
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request_count_dict[id] = request_count_dict.get(id, 0) + total_tokens
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self.router_cache.set_cache(
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key=tpm_key, value=request_count_dict, ttl=self.routing_args.ttl
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)
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## RPM
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request_count_dict = self.router_cache.get_cache(key=rpm_key) or {}
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request_count_dict[id] = request_count_dict.get(id, 0) + 1
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self.router_cache.set_cache(
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key=rpm_key, value=request_count_dict, ttl=self.routing_args.ttl
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)
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### TESTING ###
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if self.test_flag:
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self.logged_success += 1
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except Exception as e:
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verbose_router_logger.error(
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"litellm.router_strategy.lowest_tpm_rpm.py::async_log_success_event(): Exception occured - {}".format(
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str(e)
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)
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)
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verbose_router_logger.debug(traceback.format_exc())
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pass
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async def async_log_success_event(self, kwargs, response_obj, start_time, end_time):
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try:
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"""
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Update TPM/RPM usage on success
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"""
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if kwargs["litellm_params"].get("metadata") is None:
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pass
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else:
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model_group = kwargs["litellm_params"]["metadata"].get(
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"model_group", None
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)
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id = kwargs["litellm_params"].get("model_info", {}).get("id", None)
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if model_group is None or id is None:
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return
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elif isinstance(id, int):
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id = str(id)
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total_tokens = response_obj["usage"]["total_tokens"]
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# ------------
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# Setup values
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# ------------
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current_minute = datetime.now().strftime("%H-%M")
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tpm_key = f"{model_group}:tpm:{current_minute}"
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rpm_key = f"{model_group}:rpm:{current_minute}"
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# ------------
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# Update usage
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# ------------
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# update cache
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## TPM
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request_count_dict = (
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await self.router_cache.async_get_cache(key=tpm_key) or {}
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)
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request_count_dict[id] = request_count_dict.get(id, 0) + total_tokens
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await self.router_cache.async_set_cache(
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key=tpm_key, value=request_count_dict, ttl=self.routing_args.ttl
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)
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## RPM
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request_count_dict = (
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await self.router_cache.async_get_cache(key=rpm_key) or {}
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)
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request_count_dict[id] = request_count_dict.get(id, 0) + 1
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await self.router_cache.async_set_cache(
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key=rpm_key, value=request_count_dict, ttl=self.routing_args.ttl
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)
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### TESTING ###
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if self.test_flag:
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self.logged_success += 1
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except Exception as e:
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verbose_router_logger.error(
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"litellm.router_strategy.lowest_tpm_rpm.py::async_log_success_event(): Exception occured - {}".format(
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str(e)
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)
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)
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verbose_router_logger.debug(traceback.format_exc())
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pass
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def get_available_deployments( # noqa: PLR0915
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self,
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model_group: str,
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healthy_deployments: list,
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messages: Optional[List[Dict[str, str]]] = None,
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input: Optional[Union[str, List]] = None,
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):
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"""
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Returns a deployment with the lowest TPM/RPM usage.
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"""
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# get list of potential deployments
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verbose_router_logger.debug(
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f"get_available_deployments - Usage Based. model_group: {model_group}, healthy_deployments: {healthy_deployments}"
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)
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current_minute = datetime.now().strftime("%H-%M")
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tpm_key = f"{model_group}:tpm:{current_minute}"
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rpm_key = f"{model_group}:rpm:{current_minute}"
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tpm_dict = self.router_cache.get_cache(key=tpm_key)
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rpm_dict = self.router_cache.get_cache(key=rpm_key)
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verbose_router_logger.debug(
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f"tpm_key={tpm_key}, tpm_dict: {tpm_dict}, rpm_dict: {rpm_dict}"
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)
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try:
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input_tokens = token_counter(messages=messages, text=input)
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except Exception:
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input_tokens = 0
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verbose_router_logger.debug(f"input_tokens={input_tokens}")
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# -----------------------
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# Find lowest used model
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# ----------------------
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lowest_tpm = float("inf")
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if tpm_dict is None: # base case - none of the deployments have been used
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# initialize a tpm dict with {model_id: 0}
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tpm_dict = {}
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for deployment in healthy_deployments:
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tpm_dict[deployment["model_info"]["id"]] = 0
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else:
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for d in healthy_deployments:
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## if healthy deployment not yet used
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if d["model_info"]["id"] not in tpm_dict:
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tpm_dict[d["model_info"]["id"]] = 0
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all_deployments = tpm_dict
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deployment = None
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for item, item_tpm in all_deployments.items():
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## get the item from model list
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_deployment = None
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for m in healthy_deployments:
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if item == m["model_info"]["id"]:
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_deployment = m
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if _deployment is None:
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continue # skip to next one
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_deployment_tpm = None
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if _deployment_tpm is None:
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_deployment_tpm = _deployment.get("tpm")
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if _deployment_tpm is None:
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_deployment_tpm = _deployment.get("litellm_params", {}).get("tpm")
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if _deployment_tpm is None:
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_deployment_tpm = _deployment.get("model_info", {}).get("tpm")
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if _deployment_tpm is None:
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_deployment_tpm = float("inf")
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_deployment_rpm = None
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if _deployment_rpm is None:
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_deployment_rpm = _deployment.get("rpm")
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if _deployment_rpm is None:
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_deployment_rpm = _deployment.get("litellm_params", {}).get("rpm")
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if _deployment_rpm is None:
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_deployment_rpm = _deployment.get("model_info", {}).get("rpm")
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if _deployment_rpm is None:
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_deployment_rpm = float("inf")
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if item_tpm + input_tokens > _deployment_tpm:
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continue
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elif (rpm_dict is not None and item in rpm_dict) and (
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rpm_dict[item] + 1 >= _deployment_rpm
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):
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continue
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elif item_tpm < lowest_tpm:
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lowest_tpm = item_tpm
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deployment = _deployment
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print_verbose("returning picked lowest tpm/rpm deployment.")
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return deployment
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