mirror of
https://github.com/BerriAI/litellm.git
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628 lines
24 KiB
Python
628 lines
24 KiB
Python
#### What this does ####
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# identifies lowest tpm deployment
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from pydantic import BaseModel
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import random
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from typing import Optional, Union, List, Dict
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import traceback
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import httpx
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import litellm
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from litellm import token_counter
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from litellm.caching import DualCache
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from litellm.integrations.custom_logger import CustomLogger
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from litellm._logging import verbose_router_logger, verbose_logger
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from litellm.utils import print_verbose, get_utc_datetime
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from litellm.types.router import RouterErrors
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class LiteLLMBase(BaseModel):
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"""
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Implements default functions, all pydantic objects should have.
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"""
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def json(self, **kwargs):
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try:
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return self.model_dump() # noqa
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except Exception as e:
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# if using pydantic v1
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return self.dict()
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class RoutingArgs(LiteLLMBase):
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ttl: int = 1 * 60 # 1min (RPM/TPM expire key)
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class LowestTPMLoggingHandler_v2(CustomLogger):
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"""
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Updated version of TPM/RPM Logging.
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Meant to work across instances.
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Caches individual models, not model_groups
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Uses batch get (redis.mget)
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Increments tpm/rpm limit using redis.incr
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"""
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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 pre_call_check(self, deployment: Dict) -> Optional[Dict]:
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"""
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Pre-call check + update model rpm
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Returns - deployment
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Raises - RateLimitError if deployment over defined RPM limit
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"""
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try:
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# ------------
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# Setup values
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# ------------
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dt = get_utc_datetime()
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current_minute = dt.strftime("%H-%M")
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model_id = deployment.get("model_info", {}).get("id")
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rpm_key = f"{model_id}:rpm:{current_minute}"
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local_result = self.router_cache.get_cache(
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key=rpm_key, local_only=True
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) # check local result first
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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 local_result is not None and local_result >= deployment_rpm:
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raise litellm.RateLimitError(
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message="Deployment over defined rpm limit={}. current usage={}".format(
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deployment_rpm, local_result
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),
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llm_provider="",
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model=deployment.get("litellm_params", {}).get("model"),
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response=httpx.Response(
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status_code=429,
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content="{} rpm limit={}. current usage={}. id={}, model_group={}. Get the model info by calling 'router.get_model_info(id)".format(
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RouterErrors.user_defined_ratelimit_error.value,
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deployment_rpm,
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local_result,
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model_id,
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deployment.get("model_name", ""),
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),
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request=httpx.Request(method="tpm_rpm_limits", url="https://github.com/BerriAI/litellm"), # type: ignore
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),
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)
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else:
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# if local result below limit, check redis ## prevent unnecessary redis checks
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result = self.router_cache.increment_cache(
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key=rpm_key, value=1, ttl=self.routing_args.ttl
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)
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if result is not None and result > deployment_rpm:
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raise litellm.RateLimitError(
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message="Deployment over defined rpm limit={}. current usage={}".format(
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deployment_rpm, result
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),
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llm_provider="",
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model=deployment.get("litellm_params", {}).get("model"),
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response=httpx.Response(
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status_code=429,
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content="{} rpm limit={}. current usage={}".format(
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RouterErrors.user_defined_ratelimit_error.value,
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deployment_rpm,
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result,
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),
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request=httpx.Request(method="tpm_rpm_limits", url="https://github.com/BerriAI/litellm"), # type: ignore
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),
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)
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return deployment
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except Exception as e:
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if isinstance(e, litellm.RateLimitError):
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raise e
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return deployment # don't fail calls if eg. redis fails to connect
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async def async_pre_call_check(self, deployment: Dict) -> Optional[Dict]:
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"""
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Pre-call check + update model rpm
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- Used inside semaphore
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- raise rate limit error if deployment over limit
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Why? solves concurrency issue - https://github.com/BerriAI/litellm/issues/2994
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Returns - deployment
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Raises - RateLimitError if deployment over defined RPM limit
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"""
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try:
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# ------------
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# Setup values
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# ------------
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dt = get_utc_datetime()
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current_minute = dt.strftime("%H-%M")
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model_id = deployment.get("model_info", {}).get("id")
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rpm_key = f"{model_id}:rpm:{current_minute}"
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local_result = await self.router_cache.async_get_cache(
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key=rpm_key, local_only=True
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) # check local result first
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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 local_result is not None and local_result >= deployment_rpm:
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raise litellm.RateLimitError(
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message="Deployment over defined rpm limit={}. current usage={}".format(
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deployment_rpm, local_result
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),
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llm_provider="",
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model=deployment.get("litellm_params", {}).get("model"),
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response=httpx.Response(
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status_code=429,
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content="{} rpm limit={}. current usage={}".format(
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RouterErrors.user_defined_ratelimit_error.value,
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deployment_rpm,
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local_result,
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),
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request=httpx.Request(method="tpm_rpm_limits", url="https://github.com/BerriAI/litellm"), # type: ignore
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),
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)
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else:
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# if local result below limit, check redis ## prevent unnecessary redis checks
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result = await self.router_cache.async_increment_cache(
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key=rpm_key, value=1, ttl=self.routing_args.ttl
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)
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if result is not None and result > deployment_rpm:
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raise litellm.RateLimitError(
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message="Deployment over defined rpm limit={}. current usage={}".format(
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deployment_rpm, result
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),
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llm_provider="",
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model=deployment.get("litellm_params", {}).get("model"),
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response=httpx.Response(
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status_code=429,
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content="{} rpm limit={}. current usage={}".format(
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RouterErrors.user_defined_ratelimit_error.value,
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deployment_rpm,
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result,
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),
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request=httpx.Request(method="tpm_rpm_limits", url="https://github.com/BerriAI/litellm"), # type: ignore
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),
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)
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return deployment
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except Exception as e:
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if isinstance(e, litellm.RateLimitError):
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raise e
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return deployment # don't fail calls if eg. redis fails to connect
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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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dt = get_utc_datetime()
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current_minute = dt.strftime(
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"%H-%M"
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) # use the same timezone regardless of system clock
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tpm_key = f"{id}:tpm:{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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self.router_cache.increment_cache(
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key=tpm_key, value=total_tokens, 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_logger.error(
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"litellm.proxy.hooks.prompt_injection_detection.py::async_pre_call_hook(): Exception occured - {}".format(
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str(e)
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)
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)
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verbose_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 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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dt = get_utc_datetime()
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current_minute = dt.strftime(
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"%H-%M"
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) # use the same timezone regardless of system clock
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tpm_key = f"{id}:tpm:{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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await self.router_cache.async_increment_cache(
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key=tpm_key, value=total_tokens, 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_logger.error(
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"litellm.proxy.hooks.prompt_injection_detection.py::async_pre_call_hook(): Exception occured - {}".format(
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str(e)
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)
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)
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verbose_logger.debug(traceback.format_exc())
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pass
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def _common_checks_available_deployment(
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self,
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model_group: str,
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healthy_deployments: list,
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tpm_keys: list,
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tpm_values: list,
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rpm_keys: list,
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rpm_values: 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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Common checks for get available deployment, across sync + async implementations
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"""
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tpm_dict = {} # {model_id: 1, ..}
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for idx, key in enumerate(tpm_keys):
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tpm_dict[tpm_keys[idx]] = tpm_values[idx]
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rpm_dict = {} # {model_id: 1, ..}
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for idx, key in enumerate(rpm_keys):
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rpm_dict[rpm_keys[idx]] = rpm_values[idx]
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try:
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input_tokens = token_counter(messages=messages, text=input)
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except:
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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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dt = get_utc_datetime()
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current_minute = dt.strftime(
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"%H-%M"
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) # use the same timezone regardless of system clock
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for d in healthy_deployments:
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## if healthy deployment not yet used
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tpm_key = f"{d['model_info']['id']}:tpm:{current_minute}"
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if tpm_key not in tpm_dict or tpm_dict[tpm_key] is None:
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tpm_dict[tpm_key] = 0
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all_deployments = tpm_dict
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potential_deployments = [] # if multiple deployments have the same low value
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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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item = item.split(":")[0]
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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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elif item_tpm is None:
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continue # skip if unhealthy deployment
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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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potential_deployments.append(_deployment)
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elif item_tpm < lowest_tpm:
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lowest_tpm = item_tpm
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potential_deployments = [_deployment]
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print_verbose("returning picked lowest tpm/rpm deployment.")
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if len(potential_deployments) > 0:
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return random.choice(potential_deployments)
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else:
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return None
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async def async_get_available_deployments(
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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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Async implementation of get deployments.
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Reduces time to retrieve the tpm/rpm values from cache
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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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dt = get_utc_datetime()
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current_minute = dt.strftime("%H-%M")
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tpm_keys = []
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rpm_keys = []
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for m in healthy_deployments:
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if isinstance(m, dict):
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id = m.get("model_info", {}).get(
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"id"
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) # a deployment should always have an 'id'. this is set in router.py
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tpm_key = "{}:tpm:{}".format(id, current_minute)
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rpm_key = "{}:rpm:{}".format(id, current_minute)
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tpm_keys.append(tpm_key)
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rpm_keys.append(rpm_key)
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combined_tpm_rpm_keys = tpm_keys + rpm_keys
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combined_tpm_rpm_values = await self.router_cache.async_batch_get_cache(
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keys=combined_tpm_rpm_keys
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) # [1, 2, None, ..]
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tpm_values = combined_tpm_rpm_values[: len(tpm_keys)]
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rpm_values = combined_tpm_rpm_values[len(tpm_keys) :]
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deployment = self._common_checks_available_deployment(
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model_group=model_group,
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healthy_deployments=healthy_deployments,
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tpm_keys=tpm_keys,
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tpm_values=tpm_values,
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rpm_keys=rpm_keys,
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rpm_values=rpm_values,
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messages=messages,
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input=input,
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)
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try:
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assert deployment is not None
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return deployment
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except Exception as e:
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### GET THE DICT OF TPM / RPM + LIMITS PER DEPLOYMENT ###
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deployment_dict = {}
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for index, _deployment in enumerate(healthy_deployments):
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if isinstance(_deployment, dict):
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id = _deployment.get("model_info", {}).get("id")
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### GET DEPLOYMENT TPM LIMIT ###
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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", None)
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if _deployment_tpm is None:
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_deployment_tpm = _deployment.get("litellm_params", {}).get(
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"tpm", None
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)
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if _deployment_tpm is None:
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_deployment_tpm = _deployment.get("model_info", {}).get(
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"tpm", None
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)
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if _deployment_tpm is None:
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_deployment_tpm = float("inf")
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### GET CURRENT TPM ###
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current_tpm = tpm_values[index]
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### GET DEPLOYMENT TPM LIMIT ###
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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", None)
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if _deployment_rpm is None:
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_deployment_rpm = _deployment.get("litellm_params", {}).get(
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"rpm", None
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)
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if _deployment_rpm is None:
|
|
_deployment_rpm = _deployment.get("model_info", {}).get(
|
|
"rpm", None
|
|
)
|
|
if _deployment_rpm is None:
|
|
_deployment_rpm = float("inf")
|
|
|
|
### GET CURRENT RPM ###
|
|
current_rpm = rpm_values[index]
|
|
|
|
deployment_dict[id] = {
|
|
"current_tpm": current_tpm,
|
|
"tpm_limit": _deployment_tpm,
|
|
"current_rpm": current_rpm,
|
|
"rpm_limit": _deployment_rpm,
|
|
}
|
|
raise ValueError(
|
|
f"{RouterErrors.no_deployments_available.value}. Passed model={model_group}. Deployments={deployment_dict}"
|
|
)
|
|
|
|
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
|
|
verbose_router_logger.debug(
|
|
f"get_available_deployments - Usage Based. model_group: {model_group}, healthy_deployments: {healthy_deployments}"
|
|
)
|
|
|
|
dt = get_utc_datetime()
|
|
current_minute = dt.strftime("%H-%M")
|
|
tpm_keys = []
|
|
rpm_keys = []
|
|
for m in healthy_deployments:
|
|
if isinstance(m, dict):
|
|
id = m.get("model_info", {}).get(
|
|
"id"
|
|
) # a deployment should always have an 'id'. this is set in router.py
|
|
tpm_key = "{}:tpm:{}".format(id, current_minute)
|
|
rpm_key = "{}:rpm:{}".format(id, current_minute)
|
|
|
|
tpm_keys.append(tpm_key)
|
|
rpm_keys.append(rpm_key)
|
|
|
|
tpm_values = self.router_cache.batch_get_cache(
|
|
keys=tpm_keys
|
|
) # [1, 2, None, ..]
|
|
rpm_values = self.router_cache.batch_get_cache(
|
|
keys=rpm_keys
|
|
) # [1, 2, None, ..]
|
|
|
|
deployment = self._common_checks_available_deployment(
|
|
model_group=model_group,
|
|
healthy_deployments=healthy_deployments,
|
|
tpm_keys=tpm_keys,
|
|
tpm_values=tpm_values,
|
|
rpm_keys=rpm_keys,
|
|
rpm_values=rpm_values,
|
|
messages=messages,
|
|
input=input,
|
|
)
|
|
|
|
try:
|
|
assert deployment is not None
|
|
return deployment
|
|
except Exception as e:
|
|
### GET THE DICT OF TPM / RPM + LIMITS PER DEPLOYMENT ###
|
|
deployment_dict = {}
|
|
for index, _deployment in enumerate(healthy_deployments):
|
|
if isinstance(_deployment, dict):
|
|
id = _deployment.get("model_info", {}).get("id")
|
|
### GET DEPLOYMENT TPM LIMIT ###
|
|
_deployment_tpm = None
|
|
if _deployment_tpm is None:
|
|
_deployment_tpm = _deployment.get("tpm", None)
|
|
if _deployment_tpm is None:
|
|
_deployment_tpm = _deployment.get("litellm_params", {}).get(
|
|
"tpm", None
|
|
)
|
|
if _deployment_tpm is None:
|
|
_deployment_tpm = _deployment.get("model_info", {}).get(
|
|
"tpm", None
|
|
)
|
|
if _deployment_tpm is None:
|
|
_deployment_tpm = float("inf")
|
|
|
|
### GET CURRENT TPM ###
|
|
current_tpm = tpm_values[index]
|
|
|
|
### GET DEPLOYMENT TPM LIMIT ###
|
|
_deployment_rpm = None
|
|
if _deployment_rpm is None:
|
|
_deployment_rpm = _deployment.get("rpm", None)
|
|
if _deployment_rpm is None:
|
|
_deployment_rpm = _deployment.get("litellm_params", {}).get(
|
|
"rpm", None
|
|
)
|
|
if _deployment_rpm is None:
|
|
_deployment_rpm = _deployment.get("model_info", {}).get(
|
|
"rpm", None
|
|
)
|
|
if _deployment_rpm is None:
|
|
_deployment_rpm = float("inf")
|
|
|
|
### GET CURRENT RPM ###
|
|
current_rpm = rpm_values[index]
|
|
|
|
deployment_dict[id] = {
|
|
"current_tpm": current_tpm,
|
|
"tpm_limit": _deployment_tpm,
|
|
"current_rpm": current_rpm,
|
|
"rpm_limit": _deployment_rpm,
|
|
}
|
|
raise ValueError(
|
|
f"{RouterErrors.no_deployments_available.value}. Passed model={model_group}. Deployments={deployment_dict}"
|
|
)
|